{ "best_global_step": 38000, "best_metric": 0.6343372808016398, "best_model_checkpoint": "/scratch/users/k24112973/data/dynamic_training/oversample/checkpoint-38000", "epoch": 974.3636363636364, "eval_steps": 500, "global_step": 38000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 2.571428571428571, "grad_norm": 0.9723352193832397, "learning_rate": 1.2692307692307692e-06, "loss": 0.4224576187133789, "step": 100 }, { "epoch": 5.12987012987013, "grad_norm": 0.7024934887886047, "learning_rate": 2.5512820512820516e-06, "loss": 0.22791364669799805, "step": 200 }, { "epoch": 7.701298701298701, "grad_norm": 0.2942417860031128, "learning_rate": 3.833333333333334e-06, "loss": 0.0733012866973877, "step": 300 }, { "epoch": 10.25974025974026, "grad_norm": 0.1313406378030777, "learning_rate": 5.115384615384616e-06, "loss": 0.039429664611816406, "step": 400 }, { "epoch": 12.831168831168831, "grad_norm": 0.10131426155567169, "learning_rate": 6.3974358974358984e-06, "loss": 0.03325621843338013, "step": 500 }, { "epoch": 12.831168831168831, "eval_exact_match_ratio": 0.010239344681940356, "eval_loss": 0.026465708389878273, "eval_macro_f1": 2.2791503327559487e-05, "eval_macro_precision": 0.017857142857142856, "eval_macro_recall": 1.1403028644407956e-05, "eval_macro_roc_auc": 0.6593257939423923, "eval_micro_f1": 4.855783237836263e-05, "eval_micro_precision": 0.02040816326530612, "eval_micro_recall": 2.4307834415031966e-05, "eval_runtime": 101.181, "eval_samples_per_second": 77.218, "eval_steps_per_second": 4.833, "step": 500 }, { "epoch": 15.38961038961039, "grad_norm": 0.10254181176424026, "learning_rate": 7.67948717948718e-06, "loss": 0.03204334259033203, "step": 600 }, { "epoch": 17.961038961038962, "grad_norm": 0.08924805372953415, "learning_rate": 8.96153846153846e-06, "loss": 0.02998211145401001, "step": 700 }, { "epoch": 20.51948051948052, "grad_norm": 0.09124752134084702, "learning_rate": 1.0243589743589744e-05, "loss": 0.028628075122833253, "step": 800 }, { "epoch": 23.07792207792208, "grad_norm": 0.09543249756097794, "learning_rate": 1.1525641025641026e-05, "loss": 0.028393406867980957, "step": 900 }, { "epoch": 25.649350649350648, "grad_norm": 0.08555900305509567, "learning_rate": 1.280769230769231e-05, "loss": 0.02726546287536621, "step": 1000 }, { "epoch": 25.649350649350648, "eval_exact_match_ratio": 0.015487008831434787, "eval_loss": 0.022449757903814316, "eval_macro_f1": 0.04015436423609551, "eval_macro_precision": 0.1501749391031702, "eval_macro_recall": 0.024922522039782197, "eval_macro_roc_auc": 0.8140910680524438, "eval_micro_f1": 0.10766036202771634, "eval_micro_precision": 0.7530786233028103, "eval_micro_recall": 0.057974185079851234, "eval_runtime": 101.805, "eval_samples_per_second": 76.745, "eval_steps_per_second": 4.803, "step": 1000 }, { "epoch": 28.207792207792206, "grad_norm": 0.09994173794984818, "learning_rate": 1.408974358974359e-05, "loss": 0.02647646188735962, "step": 1100 }, { "epoch": 30.77922077922078, "grad_norm": 0.09997841715812683, "learning_rate": 1.5371794871794872e-05, "loss": 0.02625159740447998, "step": 1200 }, { "epoch": 33.33766233766234, "grad_norm": 0.07699156552553177, "learning_rate": 1.6653846153846156e-05, "loss": 0.025394675731658937, "step": 1300 }, { "epoch": 35.90909090909091, "grad_norm": 0.08908795565366745, "learning_rate": 1.7935897435897436e-05, "loss": 0.02497950315475464, "step": 1400 }, { "epoch": 38.467532467532465, "grad_norm": 0.09753439575433731, "learning_rate": 1.921794871794872e-05, "loss": 0.02420916795730591, "step": 1500 }, { "epoch": 38.467532467532465, "eval_exact_match_ratio": 0.04134135415333419, "eval_loss": 0.019969576969742775, "eval_macro_f1": 0.1500658433419304, "eval_macro_precision": 0.45900795060760735, "eval_macro_recall": 0.10204770730152682, "eval_macro_roc_auc": 0.8592341139831198, "eval_micro_f1": 0.2797057867360208, "eval_micro_precision": 0.8521728364491766, "eval_micro_recall": 0.167310824278665, "eval_runtime": 102.1239, "eval_samples_per_second": 76.505, "eval_steps_per_second": 4.788, "step": 1500 }, { "epoch": 41.02597402597402, "grad_norm": 0.09155359119176865, "learning_rate": 2.05e-05, "loss": 0.024083244800567626, "step": 1600 }, { "epoch": 43.5974025974026, "grad_norm": 0.09570193290710449, "learning_rate": 2.1782051282051284e-05, "loss": 0.023498144149780274, "step": 1700 }, { "epoch": 46.15584415584416, "grad_norm": 0.07617457956075668, "learning_rate": 2.3064102564102568e-05, "loss": 0.02319591522216797, "step": 1800 }, { "epoch": 48.72727272727273, "grad_norm": 0.10715755820274353, "learning_rate": 2.4346153846153848e-05, "loss": 0.022931249141693116, "step": 1900 }, { "epoch": 51.285714285714285, "grad_norm": 0.07499901950359344, "learning_rate": 2.5628205128205128e-05, "loss": 0.022387499809265136, "step": 2000 }, { "epoch": 51.285714285714285, "eval_exact_match_ratio": 0.043389223089722255, "eval_loss": 0.019956817850470543, "eval_macro_f1": 0.13833827834016052, "eval_macro_precision": 0.5337436020047565, "eval_macro_recall": 0.08828918347723172, "eval_macro_roc_auc": 0.8762218972851165, "eval_micro_f1": 0.23172156038308805, "eval_micro_precision": 0.9166666666666666, "eval_micro_recall": 0.1326235445684144, "eval_runtime": 102.2018, "eval_samples_per_second": 76.447, "eval_steps_per_second": 4.785, "step": 2000 }, { "epoch": 53.857142857142854, "grad_norm": 0.07609694451093674, "learning_rate": 2.6910256410256412e-05, "loss": 0.022320070266723634, "step": 2100 }, { "epoch": 56.41558441558441, "grad_norm": 0.07854855805635452, "learning_rate": 2.8192307692307696e-05, "loss": 0.02212502956390381, "step": 2200 }, { "epoch": 58.98701298701299, "grad_norm": 0.06473389267921448, "learning_rate": 2.9474358974358972e-05, "loss": 0.021405723094940186, "step": 2300 }, { "epoch": 61.54545454545455, "grad_norm": 0.08168220520019531, "learning_rate": 3.075641025641026e-05, "loss": 0.021646018028259276, "step": 2400 }, { "epoch": 64.1038961038961, "grad_norm": 0.07714404910802841, "learning_rate": 3.2038461538461536e-05, "loss": 0.021127231121063232, "step": 2500 }, { "epoch": 64.1038961038961, "eval_exact_match_ratio": 0.06015615000639959, "eval_loss": 0.01814069040119648, "eval_macro_f1": 0.24566480305372065, "eval_macro_precision": 0.5808284865248478, "eval_macro_recall": 0.17255970450010616, "eval_macro_roc_auc": 0.8893594530608899, "eval_micro_f1": 0.4059803849273652, "eval_micro_precision": 0.8402136589088134, "eval_micro_recall": 0.26765356474391694, "eval_runtime": 102.1616, "eval_samples_per_second": 76.477, "eval_steps_per_second": 4.787, "step": 2500 }, { "epoch": 66.67532467532467, "grad_norm": 0.0774487778544426, "learning_rate": 3.332051282051282e-05, "loss": 0.02119396924972534, "step": 2600 }, { "epoch": 69.23376623376623, "grad_norm": 0.08460704237222672, "learning_rate": 3.4602564102564104e-05, "loss": 0.02077857732772827, "step": 2700 }, { "epoch": 71.8051948051948, "grad_norm": 0.06910490989685059, "learning_rate": 3.588461538461539e-05, "loss": 0.020965633392333986, "step": 2800 }, { "epoch": 74.36363636363636, "grad_norm": 0.060772985219955444, "learning_rate": 3.7166666666666664e-05, "loss": 0.020291900634765624, "step": 2900 }, { "epoch": 76.93506493506493, "grad_norm": 0.06566117703914642, "learning_rate": 3.844871794871795e-05, "loss": 0.020529248714447022, "step": 3000 }, { "epoch": 76.93506493506493, "eval_exact_match_ratio": 0.0674516830922821, "eval_loss": 0.017710894346237183, "eval_macro_f1": 0.25788730715836283, "eval_macro_precision": 0.6595957697827093, "eval_macro_recall": 0.1863560199250396, "eval_macro_roc_auc": 0.8968546657274837, "eval_micro_f1": 0.42316413107080164, "eval_micro_precision": 0.8540113661524836, "eval_micro_recall": 0.28126595201633486, "eval_runtime": 102.1271, "eval_samples_per_second": 76.503, "eval_steps_per_second": 4.788, "step": 3000 }, { "epoch": 79.49350649350649, "grad_norm": 0.06747350096702576, "learning_rate": 3.973076923076923e-05, "loss": 0.019568560123443605, "step": 3100 }, { "epoch": 82.05194805194805, "grad_norm": 0.08599278330802917, "learning_rate": 4.1012820512820515e-05, "loss": 0.019356379508972166, "step": 3200 }, { "epoch": 84.62337662337663, "grad_norm": 0.07699308544397354, "learning_rate": 4.22948717948718e-05, "loss": 0.01968835711479187, "step": 3300 }, { "epoch": 87.18181818181819, "grad_norm": 0.07464466989040375, "learning_rate": 4.3576923076923076e-05, "loss": 0.019133061170578003, "step": 3400 }, { "epoch": 89.75324675324676, "grad_norm": 0.057159002870321274, "learning_rate": 4.485897435897436e-05, "loss": 0.019086666107177734, "step": 3500 }, { "epoch": 89.75324675324676, "eval_exact_match_ratio": 0.06693971585818508, "eval_loss": 0.017398711293935776, "eval_macro_f1": 0.3135355629530234, "eval_macro_precision": 0.7128723183711959, "eval_macro_recall": 0.23280118458092305, "eval_macro_roc_auc": 0.9029103776493033, "eval_micro_f1": 0.4553707578282918, "eval_micro_precision": 0.8415361426043646, "eval_micro_recall": 0.31213690172342545, "eval_runtime": 102.1495, "eval_samples_per_second": 76.486, "eval_steps_per_second": 4.787, "step": 3500 }, { "epoch": 92.31168831168831, "grad_norm": 0.0754333958029747, "learning_rate": 4.614102564102564e-05, "loss": 0.018581944704055785, "step": 3600 }, { "epoch": 94.88311688311688, "grad_norm": 0.07137007266283035, "learning_rate": 4.742307692307693e-05, "loss": 0.01879796862602234, "step": 3700 }, { "epoch": 97.44155844155844, "grad_norm": 0.07455797493457794, "learning_rate": 4.870512820512821e-05, "loss": 0.018829100131988526, "step": 3800 }, { "epoch": 100.0, "grad_norm": 0.08882606029510498, "learning_rate": 4.9987179487179494e-05, "loss": 0.018090782165527345, "step": 3900 }, { "epoch": 102.57142857142857, "grad_norm": 0.07004310935735703, "learning_rate": 4.999901856153945e-05, "loss": 0.018008456230163575, "step": 4000 }, { "epoch": 102.57142857142857, "eval_exact_match_ratio": 0.05913221553820555, "eval_loss": 0.017673490568995476, "eval_macro_f1": 0.28538834333600155, "eval_macro_precision": 0.7215161598314275, "eval_macro_recall": 0.20060156364179246, "eval_macro_roc_auc": 0.9039128340841802, "eval_micro_f1": 0.4328613547846977, "eval_micro_precision": 0.8613022379952198, "eval_micro_recall": 0.28906876686356014, "eval_runtime": 102.1514, "eval_samples_per_second": 76.485, "eval_steps_per_second": 4.787, "step": 4000 }, { "epoch": 105.12987012987013, "grad_norm": 0.071014404296875, "learning_rate": 4.999603457083103e-05, "loss": 0.017830185890197754, "step": 4100 }, { "epoch": 107.7012987012987, "grad_norm": 0.07118625193834305, "learning_rate": 4.999104816678274e-05, "loss": 0.017918087244033813, "step": 4200 }, { "epoch": 110.25974025974025, "grad_norm": 0.06566045433282852, "learning_rate": 4.998405974885163e-05, "loss": 0.01788578987121582, "step": 4300 }, { "epoch": 112.83116883116882, "grad_norm": 0.0653366893529892, "learning_rate": 4.9975069876874545e-05, "loss": 0.017887649536132814, "step": 4400 }, { "epoch": 115.3896103896104, "grad_norm": 0.07393347471952438, "learning_rate": 4.996407927102331e-05, "loss": 0.01751647353172302, "step": 4500 }, { "epoch": 115.3896103896104, "eval_exact_match_ratio": 0.07013951107129143, "eval_loss": 0.017509067431092262, "eval_macro_f1": 0.37014410895371136, "eval_macro_precision": 0.697715256791381, "eval_macro_recall": 0.2842852948568902, "eval_macro_roc_auc": 0.9079131324403187, "eval_micro_f1": 0.5182345456648545, "eval_micro_precision": 0.8092166374238827, "eval_micro_recall": 0.3811711514621162, "eval_runtime": 102.1935, "eval_samples_per_second": 76.453, "eval_steps_per_second": 4.785, "step": 4500 }, { "epoch": 117.96103896103897, "grad_norm": 0.05196866765618324, "learning_rate": 4.9951088811747e-05, "loss": 0.017132682800292967, "step": 4600 }, { "epoch": 120.51948051948052, "grad_norm": 0.0642334371805191, "learning_rate": 4.9936099539701444e-05, "loss": 0.01745768427848816, "step": 4700 }, { "epoch": 123.07792207792208, "grad_norm": 0.06535433232784271, "learning_rate": 4.991911265566582e-05, "loss": 0.017694165706634523, "step": 4800 }, { "epoch": 125.64935064935065, "grad_norm": 0.11530792713165283, "learning_rate": 4.990012952044654e-05, "loss": 0.017267401218414306, "step": 4900 }, { "epoch": 128.2077922077922, "grad_norm": 0.06359517574310303, "learning_rate": 4.987915165476811e-05, "loss": 0.016948271989822388, "step": 5000 }, { "epoch": 128.2077922077922, "eval_exact_match_ratio": 0.06783565851785486, "eval_loss": 0.016847912222146988, "eval_macro_f1": 0.36597600181513823, "eval_macro_precision": 0.7139592509552216, "eval_macro_recall": 0.2715970879612518, "eval_macro_roc_auc": 0.9133004873427402, "eval_micro_f1": 0.5028703029481991, "eval_micro_precision": 0.8288489449592498, "eval_micro_recall": 0.36092272539439463, "eval_runtime": 102.1597, "eval_samples_per_second": 76.478, "eval_steps_per_second": 4.787, "step": 5000 }, { "epoch": 130.7792207792208, "grad_norm": 0.0596756786108017, "learning_rate": 4.985618073915143e-05, "loss": 0.01628790855407715, "step": 5100 }, { "epoch": 133.33766233766235, "grad_norm": 0.058088693767786026, "learning_rate": 4.9831218613779095e-05, "loss": 0.016356936693191527, "step": 5200 }, { "epoch": 135.9090909090909, "grad_norm": 0.05349066108465195, "learning_rate": 4.9804267278348006e-05, "loss": 0.015819222927093507, "step": 5300 }, { "epoch": 138.46753246753246, "grad_norm": 0.058746371418237686, "learning_rate": 4.977532889190916e-05, "loss": 0.016046864986419676, "step": 5400 }, { "epoch": 141.02597402597402, "grad_norm": 0.06296154856681824, "learning_rate": 4.9744405772694725e-05, "loss": 0.016026583909988405, "step": 5500 }, { "epoch": 141.02597402597402, "eval_exact_match_ratio": 0.07321131447587355, "eval_loss": 0.01681182160973549, "eval_macro_f1": 0.3796766306924299, "eval_macro_precision": 0.7387063979509644, "eval_macro_recall": 0.2871505002687625, "eval_macro_roc_auc": 0.916403901192674, "eval_micro_f1": 0.5243835525331294, "eval_micro_precision": 0.8297726794359083, "eval_micro_recall": 0.38331024089063903, "eval_runtime": 102.1895, "eval_samples_per_second": 76.456, "eval_steps_per_second": 4.785, "step": 5500 }, { "epoch": 143.5974025974026, "grad_norm": 0.06563801318407059, "learning_rate": 4.9711500397932284e-05, "loss": 0.015465517044067383, "step": 5600 }, { "epoch": 146.15584415584416, "grad_norm": 0.07564526796340942, "learning_rate": 4.96766154036464e-05, "loss": 0.015505937337875366, "step": 5700 }, { "epoch": 148.72727272727272, "grad_norm": 0.10228395462036133, "learning_rate": 4.963975358444748e-05, "loss": 0.015380208492279052, "step": 5800 }, { "epoch": 151.28571428571428, "grad_norm": 0.06292247027158737, "learning_rate": 4.960091789330784e-05, "loss": 0.015107660293579102, "step": 5900 }, { "epoch": 153.85714285714286, "grad_norm": 0.06817900389432907, "learning_rate": 4.956011144132521e-05, "loss": 0.01492759346961975, "step": 6000 }, { "epoch": 153.85714285714286, "eval_exact_match_ratio": 0.07679508511455267, "eval_loss": 0.016874490305781364, "eval_macro_f1": 0.3877334139086099, "eval_macro_precision": 0.7358665653332759, "eval_macro_recall": 0.28940207330254175, "eval_macro_roc_auc": 0.9184438464756707, "eval_micro_f1": 0.52094626246403, "eval_micro_precision": 0.8355605645897064, "eval_micro_recall": 0.37844867400763266, "eval_runtime": 102.1468, "eval_samples_per_second": 76.488, "eval_steps_per_second": 4.787, "step": 6000 }, { "epoch": 156.41558441558442, "grad_norm": 0.05961983650922775, "learning_rate": 4.951733749747345e-05, "loss": 0.014758473634719849, "step": 6100 }, { "epoch": 158.98701298701297, "grad_norm": 0.06107480823993683, "learning_rate": 4.947259948834069e-05, "loss": 0.0149067223072052, "step": 6200 }, { "epoch": 161.54545454545453, "grad_norm": 0.060411397367715836, "learning_rate": 4.942590099785488e-05, "loss": 0.01451791763305664, "step": 6300 }, { "epoch": 164.1038961038961, "grad_norm": 0.054140854626894, "learning_rate": 4.93772457669966e-05, "loss": 0.014490524530410767, "step": 6400 }, { "epoch": 166.67532467532467, "grad_norm": 0.055879805237054825, "learning_rate": 4.932663769349945e-05, "loss": 0.014141499996185303, "step": 6500 }, { "epoch": 166.67532467532467, "eval_exact_match_ratio": 0.07589914245488288, "eval_loss": 0.016887707635760307, "eval_macro_f1": 0.4082256470374264, "eval_macro_precision": 0.7508155552966105, "eval_macro_recall": 0.31539244031288544, "eval_macro_roc_auc": 0.9191473709383688, "eval_micro_f1": 0.5334341011402096, "eval_micro_precision": 0.8229330359405891, "eval_micro_recall": 0.39461338389362893, "eval_runtime": 102.1626, "eval_samples_per_second": 76.476, "eval_steps_per_second": 4.786, "step": 6500 }, { "epoch": 169.23376623376623, "grad_norm": 0.06160331889986992, "learning_rate": 4.9274080831537714e-05, "loss": 0.014069569110870362, "step": 6600 }, { "epoch": 171.80519480519482, "grad_norm": 0.06609829515218735, "learning_rate": 4.92195793914017e-05, "loss": 0.014194674491882324, "step": 6700 }, { "epoch": 174.36363636363637, "grad_norm": 0.06778760254383087, "learning_rate": 4.9163137739160386e-05, "loss": 0.01400719404220581, "step": 6800 }, { "epoch": 176.93506493506493, "grad_norm": 0.060218971222639084, "learning_rate": 4.9104760396311634e-05, "loss": 0.014022926092147827, "step": 6900 }, { "epoch": 179.4935064935065, "grad_norm": 0.06643606722354889, "learning_rate": 4.904445203942002e-05, "loss": 0.013471884727478027, "step": 7000 }, { "epoch": 179.4935064935065, "eval_exact_match_ratio": 0.07730705234864968, "eval_loss": 0.016866693273186684, "eval_macro_f1": 0.41576847181651655, "eval_macro_precision": 0.744571222614412, "eval_macro_recall": 0.31318365475605586, "eval_macro_roc_auc": 0.9178895140330184, "eval_micro_f1": 0.5388735541535226, "eval_micro_precision": 0.8313814955640051, "eval_micro_recall": 0.3986241765721092, "eval_runtime": 102.1754, "eval_samples_per_second": 76.467, "eval_steps_per_second": 4.786, "step": 7000 }, { "epoch": 182.05194805194805, "grad_norm": 0.05420941859483719, "learning_rate": 4.898221749974223e-05, "loss": 0.013712399005889893, "step": 7100 }, { "epoch": 184.62337662337663, "grad_norm": 0.05109863728284836, "learning_rate": 4.891806176283993e-05, "loss": 0.013760663270950317, "step": 7200 }, { "epoch": 187.1818181818182, "grad_norm": 0.05963105708360672, "learning_rate": 4.885198996818048e-05, "loss": 0.013506799936294556, "step": 7300 }, { "epoch": 189.75324675324674, "grad_norm": 0.07721959054470062, "learning_rate": 4.878400740872514e-05, "loss": 0.012987656593322754, "step": 7400 }, { "epoch": 192.3116883116883, "grad_norm": 0.06577788293361664, "learning_rate": 4.871411953050512e-05, "loss": 0.013001085519790649, "step": 7500 }, { "epoch": 192.3116883116883, "eval_exact_match_ratio": 0.07513119160373737, "eval_loss": 0.016872141510248184, "eval_macro_f1": 0.4409711297909289, "eval_macro_precision": 0.7129979657202209, "eval_macro_recall": 0.3480125684191662, "eval_macro_roc_auc": 0.9192576870565512, "eval_micro_f1": 0.5707223977724244, "eval_micro_precision": 0.8005441699214464, "eval_micro_recall": 0.4434235153990131, "eval_runtime": 102.1701, "eval_samples_per_second": 76.471, "eval_steps_per_second": 4.786, "step": 7500 }, { "epoch": 194.88311688311688, "grad_norm": 0.05922481790184975, "learning_rate": 4.864233193218523e-05, "loss": 0.013138995170593262, "step": 7600 }, { "epoch": 197.44155844155844, "grad_norm": 0.06037190929055214, "learning_rate": 4.856865036461545e-05, "loss": 0.012665022611618042, "step": 7700 }, { "epoch": 200.0, "grad_norm": 0.08931905776262283, "learning_rate": 4.8493080730370175e-05, "loss": 0.013038263320922852, "step": 7800 }, { "epoch": 202.57142857142858, "grad_norm": 0.06864232569932938, "learning_rate": 4.841562908327539e-05, "loss": 0.013083732128143311, "step": 7900 }, { "epoch": 205.12987012987014, "grad_norm": 0.0662744864821434, "learning_rate": 4.833630162792372e-05, "loss": 0.012569264173507691, "step": 8000 }, { "epoch": 205.12987012987014, "eval_exact_match_ratio": 0.07500319979521311, "eval_loss": 0.017042480409145355, "eval_macro_f1": 0.40625272508360205, "eval_macro_precision": 0.7716337720371749, "eval_macro_recall": 0.3067554564431893, "eval_macro_roc_auc": 0.9207542392535188, "eval_micro_f1": 0.5226256842951132, "eval_micro_precision": 0.8394643433365602, "eval_micro_recall": 0.37942098738423397, "eval_runtime": 102.1628, "eval_samples_per_second": 76.476, "eval_steps_per_second": 4.786, "step": 8000 }, { "epoch": 207.7012987012987, "grad_norm": 0.08280864357948303, "learning_rate": 4.8255104719177324e-05, "loss": 0.013807666301727296, "step": 8100 }, { "epoch": 210.25974025974025, "grad_norm": 0.05355716869235039, "learning_rate": 4.8172044861658895e-05, "loss": 0.012576370239257813, "step": 8200 }, { "epoch": 212.83116883116884, "grad_norm": 0.06488946080207825, "learning_rate": 4.808712870923051e-05, "loss": 0.012673401832580566, "step": 8300 }, { "epoch": 215.3896103896104, "grad_norm": 0.06996672600507736, "learning_rate": 4.800036306446063e-05, "loss": 0.01278065800666809, "step": 8400 }, { "epoch": 217.96103896103895, "grad_norm": 0.06019515171647072, "learning_rate": 4.791175487807914e-05, "loss": 0.012741817235946655, "step": 8500 }, { "epoch": 217.96103896103895, "eval_exact_match_ratio": 0.07961090490208626, "eval_loss": 0.0170586034655571, "eval_macro_f1": 0.45372991858744083, "eval_macro_precision": 0.7275439363935846, "eval_macro_recall": 0.35349195212720724, "eval_macro_roc_auc": 0.9195610154086726, "eval_micro_f1": 0.5620295067878344, "eval_micro_precision": 0.8139116806490274, "eval_micro_recall": 0.4292034322662194, "eval_runtime": 102.1456, "eval_samples_per_second": 76.489, "eval_steps_per_second": 4.787, "step": 8500 }, { "epoch": 220.5194805194805, "grad_norm": 0.05731276795268059, "learning_rate": 4.782131124842054e-05, "loss": 0.012283004522323608, "step": 8600 }, { "epoch": 223.07792207792207, "grad_norm": 0.06507930159568787, "learning_rate": 4.772903942085528e-05, "loss": 0.012043085098266602, "step": 8700 }, { "epoch": 225.64935064935065, "grad_norm": 0.0741071030497551, "learning_rate": 4.763494678720938e-05, "loss": 0.015712366104125977, "step": 8800 }, { "epoch": 228.2077922077922, "grad_norm": 0.07785498350858688, "learning_rate": 4.753904088517223e-05, "loss": 0.013810333013534546, "step": 8900 }, { "epoch": 230.7792207792208, "grad_norm": 0.08087580651044846, "learning_rate": 4.744132939769278e-05, "loss": 0.012514785528182984, "step": 9000 }, { "epoch": 230.7792207792208, "eval_exact_match_ratio": 0.07564315883783437, "eval_loss": 0.01717931404709816, "eval_macro_f1": 0.45775823344233985, "eval_macro_precision": 0.7157794582662921, "eval_macro_recall": 0.3572054692302405, "eval_macro_roc_auc": 0.9205136928314973, "eval_micro_f1": 0.5658782718385368, "eval_micro_precision": 0.8053498496476819, "eval_micro_recall": 0.4361797807433336, "eval_runtime": 102.141, "eval_samples_per_second": 76.492, "eval_steps_per_second": 4.788, "step": 9000 }, { "epoch": 233.33766233766235, "grad_norm": 0.06029883772134781, "learning_rate": 4.734182015236407e-05, "loss": 0.01256476879119873, "step": 9100 }, { "epoch": 235.9090909090909, "grad_norm": 0.06095489487051964, "learning_rate": 4.724052112079614e-05, "loss": 0.012196015119552612, "step": 9200 }, { "epoch": 238.46753246753246, "grad_norm": 0.05542588606476784, "learning_rate": 4.7137440417977464e-05, "loss": 0.011755993366241455, "step": 9300 }, { "epoch": 241.02597402597402, "grad_norm": 0.0759962648153305, "learning_rate": 4.70325863016248e-05, "loss": 0.013117395639419556, "step": 9400 }, { "epoch": 243.5974025974026, "grad_norm": 2.043687105178833, "learning_rate": 4.692596717152179e-05, "loss": 0.012369465827941895, "step": 9500 }, { "epoch": 243.5974025974026, "eval_exact_match_ratio": 0.07679508511455267, "eval_loss": 0.01774309016764164, "eval_macro_f1": 0.4646990659068998, "eval_macro_precision": 0.7077453391599539, "eval_macro_recall": 0.36856962101064555, "eval_macro_roc_auc": 0.9200068792026982, "eval_micro_f1": 0.572256677158974, "eval_micro_precision": 0.7971347948773605, "eval_micro_recall": 0.44634045552881696, "eval_runtime": 102.1434, "eval_samples_per_second": 76.49, "eval_steps_per_second": 4.787, "step": 9500 }, { "epoch": 246.15584415584416, "grad_norm": 0.2821160852909088, "learning_rate": 4.6817591568845934e-05, "loss": 0.012548868656158447, "step": 9600 }, { "epoch": 248.72727272727272, "grad_norm": 0.06456050276756287, "learning_rate": 4.6707468175484415e-05, "loss": 0.012746795415878295, "step": 9700 }, { "epoch": 251.28571428571428, "grad_norm": 0.06523428112268448, "learning_rate": 4.6595605813338626e-05, "loss": 0.013266347646713257, "step": 9800 }, { "epoch": 253.85714285714286, "grad_norm": 0.07367172092199326, "learning_rate": 4.6482013443617415e-05, "loss": 0.011969189643859863, "step": 9900 }, { "epoch": 256.4155844155844, "grad_norm": 0.05717799812555313, "learning_rate": 4.6366700166119225e-05, "loss": 0.0123068368434906, "step": 10000 }, { "epoch": 256.4155844155844, "eval_exact_match_ratio": 0.07820299500831947, "eval_loss": 0.016695819795131683, "eval_macro_f1": 0.4386405320492238, "eval_macro_precision": 0.7362820141564432, "eval_macro_recall": 0.3376546549355771, "eval_macro_roc_auc": 0.9195907346871441, "eval_micro_f1": 0.5427499592236177, "eval_micro_precision": 0.8248475534182738, "eval_micro_recall": 0.40443374899730183, "eval_runtime": 102.1679, "eval_samples_per_second": 76.472, "eval_steps_per_second": 4.786, "step": 10000 }, { "epoch": 258.987012987013, "grad_norm": 0.05555659160017967, "learning_rate": 4.624967521850311e-05, "loss": 0.0128944993019104, "step": 10100 }, { "epoch": 261.54545454545456, "grad_norm": 0.06749725341796875, "learning_rate": 4.6130947975548714e-05, "loss": 0.012046520709991454, "step": 10200 }, { "epoch": 264.1038961038961, "grad_norm": 0.05790464207530022, "learning_rate": 4.6010527948405284e-05, "loss": 0.01183195948600769, "step": 10300 }, { "epoch": 266.6753246753247, "grad_norm": 0.07628806680440903, "learning_rate": 4.588842478382971e-05, "loss": 0.011336252689361573, "step": 10400 }, { "epoch": 269.23376623376623, "grad_norm": 0.058772485703229904, "learning_rate": 4.576464826341373e-05, "loss": 0.01166085124015808, "step": 10500 }, { "epoch": 269.23376623376623, "eval_exact_match_ratio": 0.07986688851913477, "eval_loss": 0.017322411760687828, "eval_macro_f1": 0.45475743745987046, "eval_macro_precision": 0.7238330693213869, "eval_macro_recall": 0.35233480253030286, "eval_macro_roc_auc": 0.9197818030099011, "eval_micro_f1": 0.5656597673460332, "eval_micro_precision": 0.812696388724441, "eval_micro_recall": 0.43379761297066044, "eval_runtime": 102.243, "eval_samples_per_second": 76.416, "eval_steps_per_second": 4.783, "step": 10500 }, { "epoch": 271.8051948051948, "grad_norm": 0.048091158270835876, "learning_rate": 4.563920830280037e-05, "loss": 0.011261138916015625, "step": 10600 }, { "epoch": 274.3636363636364, "grad_norm": 0.07051370292901993, "learning_rate": 4.551211495088958e-05, "loss": 0.010775072574615479, "step": 10700 }, { "epoch": 276.93506493506493, "grad_norm": 0.06992930173873901, "learning_rate": 4.538337838903322e-05, "loss": 0.011018173694610596, "step": 10800 }, { "epoch": 279.4935064935065, "grad_norm": 0.6913730502128601, "learning_rate": 4.5253008930219474e-05, "loss": 0.013334927558898925, "step": 10900 }, { "epoch": 282.05194805194805, "grad_norm": 0.08289528638124466, "learning_rate": 4.5121017018246625e-05, "loss": 0.019828026294708253, "step": 11000 }, { "epoch": 282.05194805194805, "eval_exact_match_ratio": 0.06937156022014591, "eval_loss": 0.017677050083875656, "eval_macro_f1": 0.417881040712503, "eval_macro_precision": 0.6891737957828016, "eval_macro_recall": 0.32455667445623465, "eval_macro_roc_auc": 0.9120942872370977, "eval_micro_f1": 0.5276260062720248, "eval_micro_precision": 0.7875307629204266, "eval_micro_recall": 0.39670385765332167, "eval_runtime": 102.2474, "eval_samples_per_second": 76.413, "eval_steps_per_second": 4.783, "step": 11000 }, { "epoch": 284.6233766233766, "grad_norm": 0.10242991149425507, "learning_rate": 4.498741322688648e-05, "loss": 0.013998864889144898, "step": 11100 }, { "epoch": 287.1818181818182, "grad_norm": 0.08067472279071808, "learning_rate": 4.4852208259037264e-05, "loss": 0.013458923101425171, "step": 11200 }, { "epoch": 289.75324675324674, "grad_norm": 0.05978621542453766, "learning_rate": 4.471541294586623e-05, "loss": 0.012362684011459351, "step": 11300 }, { "epoch": 292.31168831168833, "grad_norm": 0.06926928460597992, "learning_rate": 4.457703824594201e-05, "loss": 0.011729782819747925, "step": 11400 }, { "epoch": 294.8831168831169, "grad_norm": 0.0719408169388771, "learning_rate": 4.4437095244356654e-05, "loss": 0.011548184156417847, "step": 11500 }, { "epoch": 294.8831168831169, "eval_exact_match_ratio": 0.07999488032765903, "eval_loss": 0.017668213695287704, "eval_macro_f1": 0.45782690727302355, "eval_macro_precision": 0.7119229416605312, "eval_macro_recall": 0.36388761766657174, "eval_macro_roc_auc": 0.919269940531085, "eval_micro_f1": 0.5720337663146746, "eval_micro_precision": 0.7961156630684527, "eval_micro_recall": 0.446389071197647, "eval_runtime": 102.2175, "eval_samples_per_second": 76.435, "eval_steps_per_second": 4.784, "step": 11500 }, { "epoch": 297.4415584415584, "grad_norm": 0.06696569919586182, "learning_rate": 4.429559515183774e-05, "loss": 0.011518007516860962, "step": 11600 }, { "epoch": 300.0, "grad_norm": 0.10853864997625351, "learning_rate": 4.415254930385016e-05, "loss": 0.011066470146179199, "step": 11700 }, { "epoch": 302.57142857142856, "grad_norm": 0.05707867071032524, "learning_rate": 4.400796915968813e-05, "loss": 0.010919314622879029, "step": 11800 }, { "epoch": 305.12987012987014, "grad_norm": 0.06344405561685562, "learning_rate": 4.386186630155717e-05, "loss": 0.011025784015655517, "step": 11900 }, { "epoch": 307.7012987012987, "grad_norm": 0.18356481194496155, "learning_rate": 4.3714252433646233e-05, "loss": 0.011042345762252808, "step": 12000 }, { "epoch": 307.7012987012987, "eval_exact_match_ratio": 0.07730705234864968, "eval_loss": 0.01683417335152626, "eval_macro_f1": 0.45021063147768897, "eval_macro_precision": 0.7296708808497332, "eval_macro_recall": 0.34357324527190675, "eval_macro_roc_auc": 0.9216874338801263, "eval_micro_f1": 0.5344574417185, "eval_micro_precision": 0.8318097781429745, "eval_micro_recall": 0.39371399402027274, "eval_runtime": 102.2777, "eval_samples_per_second": 76.39, "eval_steps_per_second": 4.781, "step": 12000 }, { "epoch": 310.2597402597403, "grad_norm": 0.0740647241473198, "learning_rate": 4.356513938119015e-05, "loss": 0.01079399585723877, "step": 12100 }, { "epoch": 312.83116883116884, "grad_norm": 0.07097247987985611, "learning_rate": 4.341453908952226e-05, "loss": 0.01074166178703308, "step": 12200 }, { "epoch": 315.38961038961037, "grad_norm": 0.12918981909751892, "learning_rate": 4.3262463623117524e-05, "loss": 0.010779845714569091, "step": 12300 }, { "epoch": 317.961038961039, "grad_norm": 0.07301953434944153, "learning_rate": 4.3108925164626015e-05, "loss": 0.01032239556312561, "step": 12400 }, { "epoch": 320.5194805194805, "grad_norm": 0.062331970781087875, "learning_rate": 4.295393601389701e-05, "loss": 0.010224409103393554, "step": 12500 }, { "epoch": 320.5194805194805, "eval_exact_match_ratio": 0.07973889671061052, "eval_loss": 0.01777857169508934, "eval_macro_f1": 0.47315968038788886, "eval_macro_precision": 0.715080594586631, "eval_macro_recall": 0.3776558621230981, "eval_macro_roc_auc": 0.918684819210908, "eval_micro_f1": 0.5652235583363541, "eval_micro_precision": 0.8036930799569738, "eval_micro_recall": 0.4358880867303532, "eval_runtime": 102.2201, "eval_samples_per_second": 76.433, "eval_steps_per_second": 4.784, "step": 12500 }, { "epoch": 323.0779220779221, "grad_norm": 0.06769008934497833, "learning_rate": 4.2797508586993616e-05, "loss": 0.010095107555389404, "step": 12600 }, { "epoch": 325.64935064935065, "grad_norm": 0.06683795154094696, "learning_rate": 4.263965541519818e-05, "loss": 0.009790812730789184, "step": 12700 }, { "epoch": 328.2077922077922, "grad_norm": 0.06232920661568642, "learning_rate": 4.248038914400835e-05, "loss": 0.009567870497703553, "step": 12800 }, { "epoch": 330.7792207792208, "grad_norm": 0.17745979130268097, "learning_rate": 4.231972253212414e-05, "loss": 0.009850963354110717, "step": 12900 }, { "epoch": 333.3376623376623, "grad_norm": 0.05588870495557785, "learning_rate": 4.2157668450425745e-05, "loss": 0.00982754111289978, "step": 13000 }, { "epoch": 333.3376623376623, "eval_exact_match_ratio": 0.0792269294765135, "eval_loss": 0.01711001619696617, "eval_macro_f1": 0.47405529136163205, "eval_macro_precision": 0.7128848133401314, "eval_macro_recall": 0.37381816799438905, "eval_macro_roc_auc": 0.9217057490188912, "eval_micro_f1": 0.5627246385990469, "eval_micro_precision": 0.8070669452266328, "eval_micro_recall": 0.43195021755511803, "eval_runtime": 102.2506, "eval_samples_per_second": 76.41, "eval_steps_per_second": 4.782, "step": 13000 }, { "epoch": 335.90909090909093, "grad_norm": 0.07357288151979446, "learning_rate": 4.1994239880942555e-05, "loss": 0.010003459453582764, "step": 13100 }, { "epoch": 338.46753246753246, "grad_norm": 0.06038432940840721, "learning_rate": 4.1829449915813104e-05, "loss": 0.009759486317634583, "step": 13200 }, { "epoch": 341.02597402597405, "grad_norm": 0.055783241987228394, "learning_rate": 4.166331175623631e-05, "loss": 0.00970048189163208, "step": 13300 }, { "epoch": 343.5974025974026, "grad_norm": 0.05792766809463501, "learning_rate": 4.149583871141393e-05, "loss": 0.009768897891044617, "step": 13400 }, { "epoch": 346.15584415584414, "grad_norm": 0.06152275204658508, "learning_rate": 4.1327044197484335e-05, "loss": 0.009740744829177856, "step": 13500 }, { "epoch": 346.15584415584414, "eval_exact_match_ratio": 0.08089082298732882, "eval_loss": 0.017114389687776566, "eval_macro_f1": 0.4625623359053038, "eval_macro_precision": 0.736632786768169, "eval_macro_recall": 0.3599164668951838, "eval_macro_roc_auc": 0.9221306145137217, "eval_micro_f1": 0.5614438221073292, "eval_micro_precision": 0.8171683389074693, "eval_micro_recall": 0.42762342302924233, "eval_runtime": 102.2376, "eval_samples_per_second": 76.42, "eval_steps_per_second": 4.783, "step": 13500 }, { "epoch": 348.72727272727275, "grad_norm": 0.06315884739160538, "learning_rate": 4.115694173644782e-05, "loss": 0.009266348481178284, "step": 13600 }, { "epoch": 351.2857142857143, "grad_norm": 0.08249340206384659, "learning_rate": 4.09855449550833e-05, "loss": 0.00944661557674408, "step": 13700 }, { "epoch": 353.85714285714283, "grad_norm": 0.13554084300994873, "learning_rate": 4.081286758385672e-05, "loss": 0.009609118103981018, "step": 13800 }, { "epoch": 356.4155844155844, "grad_norm": 0.07106807082891464, "learning_rate": 4.063892345582111e-05, "loss": 0.009459911584854127, "step": 13900 }, { "epoch": 358.987012987013, "grad_norm": 0.062474314123392105, "learning_rate": 4.046372650550842e-05, "loss": 0.009663520455360413, "step": 14000 }, { "epoch": 358.987012987013, "eval_exact_match_ratio": 0.07909893766798926, "eval_loss": 0.017970101907849312, "eval_macro_f1": 0.4944946900308322, "eval_macro_precision": 0.7001791029876936, "eval_macro_recall": 0.40705386132757987, "eval_macro_roc_auc": 0.9200375956528422, "eval_micro_f1": 0.585702507099887, "eval_micro_precision": 0.7875179634571956, "eval_micro_recall": 0.4662242640803131, "eval_runtime": 102.2698, "eval_samples_per_second": 76.396, "eval_steps_per_second": 4.781, "step": 14000 }, { "epoch": 361.54545454545456, "grad_norm": 0.07693453133106232, "learning_rate": 4.028729076781324e-05, "loss": 0.009516471028327943, "step": 14100 }, { "epoch": 364.1038961038961, "grad_norm": 0.07621068507432938, "learning_rate": 4.010963037686847e-05, "loss": 0.009409522414207458, "step": 14200 }, { "epoch": 366.6753246753247, "grad_norm": 0.07692443579435349, "learning_rate": 3.993075956491308e-05, "loss": 0.00964044153690338, "step": 14300 }, { "epoch": 369.23376623376623, "grad_norm": 0.05125854164361954, "learning_rate": 3.97506926611519e-05, "loss": 0.009347828626632691, "step": 14400 }, { "epoch": 371.8051948051948, "grad_norm": 0.0802665576338768, "learning_rate": 3.956944409060781e-05, "loss": 0.009300141930580139, "step": 14500 }, { "epoch": 371.8051948051948, "eval_exact_match_ratio": 0.08473057724305644, "eval_loss": 0.018408922478556633, "eval_macro_f1": 0.5184574801131602, "eval_macro_precision": 0.6860164338168132, "eval_macro_recall": 0.4402426848995402, "eval_macro_roc_auc": 0.9220007921525831, "eval_micro_f1": 0.6151445777862028, "eval_micro_precision": 0.768695335276968, "eval_micro_recall": 0.5127251513162693, "eval_runtime": 102.2596, "eval_samples_per_second": 76.404, "eval_steps_per_second": 4.782, "step": 14500 }, { "epoch": 374.3636363636364, "grad_norm": 0.05051404610276222, "learning_rate": 3.938702837296611e-05, "loss": 0.009183371663093567, "step": 14600 }, { "epoch": 376.93506493506493, "grad_norm": 0.074142225086689, "learning_rate": 3.9203460121411326e-05, "loss": 0.008864011168479919, "step": 14700 }, { "epoch": 379.4935064935065, "grad_norm": 0.06583409756422043, "learning_rate": 3.901875404145666e-05, "loss": 0.008919439911842346, "step": 14800 }, { "epoch": 382.05194805194805, "grad_norm": 0.06410767883062363, "learning_rate": 3.8832924929765845e-05, "loss": 0.009650479555130004, "step": 14900 }, { "epoch": 384.6233766233766, "grad_norm": 0.0898592546582222, "learning_rate": 3.864598767296785e-05, "loss": 0.009149614572525024, "step": 15000 }, { "epoch": 384.6233766233766, "eval_exact_match_ratio": 0.08101881479585306, "eval_loss": 0.01826385408639908, "eval_macro_f1": 0.5045578914046115, "eval_macro_precision": 0.7001430797958645, "eval_macro_recall": 0.41279733811801556, "eval_macro_roc_auc": 0.9196100077596443, "eval_micro_f1": 0.5993424706889046, "eval_micro_precision": 0.7836225170762345, "eval_micro_recall": 0.48523299059286806, "eval_runtime": 102.2662, "eval_samples_per_second": 76.399, "eval_steps_per_second": 4.782, "step": 15000 }, { "epoch": 387.1818181818182, "grad_norm": 0.07705102860927582, "learning_rate": 3.845795724646429e-05, "loss": 0.008750916123390198, "step": 15100 }, { "epoch": 389.75324675324674, "grad_norm": 0.05844540521502495, "learning_rate": 3.82688487132298e-05, "loss": 0.009145564436912536, "step": 15200 }, { "epoch": 392.31168831168833, "grad_norm": 0.05733802542090416, "learning_rate": 3.807867722260529e-05, "loss": 0.008802804946899414, "step": 15300 }, { "epoch": 394.8831168831169, "grad_norm": 0.05915013700723648, "learning_rate": 3.788745800908441e-05, "loss": 0.008625359535217285, "step": 15400 }, { "epoch": 397.4415584415584, "grad_norm": 0.05206109955906868, "learning_rate": 3.769520639109308e-05, "loss": 0.00883878767490387, "step": 15500 }, { "epoch": 397.4415584415584, "eval_exact_match_ratio": 0.08114680660437731, "eval_loss": 0.018691128119826317, "eval_macro_f1": 0.5062740939280871, "eval_macro_precision": 0.6900678564426678, "eval_macro_recall": 0.4187990596339661, "eval_macro_roc_auc": 0.9199016434747219, "eval_micro_f1": 0.6093214227899516, "eval_micro_precision": 0.7721169625540802, "eval_micro_recall": 0.5032207880599917, "eval_runtime": 102.254, "eval_samples_per_second": 76.408, "eval_steps_per_second": 4.782, "step": 15500 }, { "epoch": 400.0, "grad_norm": 0.07545632123947144, "learning_rate": 3.750193776976239e-05, "loss": 0.008836173415184022, "step": 15600 }, { "epoch": 402.57142857142856, "grad_norm": 0.07578064501285553, "learning_rate": 3.730766762769473e-05, "loss": 0.008473769426345826, "step": 15700 }, { "epoch": 405.12987012987014, "grad_norm": 0.3554503321647644, "learning_rate": 3.7112411527723614e-05, "loss": 0.008956490159034729, "step": 15800 }, { "epoch": 407.7012987012987, "grad_norm": 0.06172866374254227, "learning_rate": 3.691618511166687e-05, "loss": 0.008492099046707153, "step": 15900 }, { "epoch": 410.2597402597403, "grad_norm": 0.2783391773700714, "learning_rate": 3.67190040990736e-05, "loss": 0.008880165219306946, "step": 16000 }, { "epoch": 410.2597402597403, "eval_exact_match_ratio": 0.08281070011519263, "eval_loss": 0.018855877220630646, "eval_macro_f1": 0.5090366067146753, "eval_macro_precision": 0.6890681878375199, "eval_macro_recall": 0.42546098529909154, "eval_macro_roc_auc": 0.9196987162323282, "eval_micro_f1": 0.6090965146665883, "eval_micro_precision": 0.7690083410565338, "eval_micro_recall": 0.5042417171054231, "eval_runtime": 102.2618, "eval_samples_per_second": 76.402, "eval_steps_per_second": 4.782, "step": 16000 }, { "epoch": 412.83116883116884, "grad_norm": 0.08073753118515015, "learning_rate": 3.6520884285964944e-05, "loss": 0.008532912731170654, "step": 16100 }, { "epoch": 415.38961038961037, "grad_norm": 0.07652072608470917, "learning_rate": 3.6321841543568615e-05, "loss": 0.008614161610603332, "step": 16200 }, { "epoch": 417.961038961039, "grad_norm": 0.056339651346206665, "learning_rate": 3.612189181704748e-05, "loss": 0.008198503255844116, "step": 16300 }, { "epoch": 420.5194805194805, "grad_norm": 0.06549147516489029, "learning_rate": 3.592105112422224e-05, "loss": 0.008499912619590759, "step": 16400 }, { "epoch": 423.0779220779221, "grad_norm": 0.1966307908296585, "learning_rate": 3.571933555428821e-05, "loss": 0.008244459629058837, "step": 16500 }, { "epoch": 423.0779220779221, "eval_exact_match_ratio": 0.08524254447715346, "eval_loss": 0.018479451537132263, "eval_macro_f1": 0.509428996063012, "eval_macro_precision": 0.7075950863965321, "eval_macro_recall": 0.41157342120431734, "eval_macro_roc_auc": 0.9189355817154282, "eval_micro_f1": 0.5950503956938747, "eval_micro_precision": 0.7982980116193438, "eval_micro_recall": 0.4742944651061037, "eval_runtime": 102.1981, "eval_samples_per_second": 76.45, "eval_steps_per_second": 4.785, "step": 16500 }, { "epoch": 425.64935064935065, "grad_norm": 0.0854429304599762, "learning_rate": 3.551676126652646e-05, "loss": 0.008234282732009887, "step": 16600 }, { "epoch": 428.2077922077922, "grad_norm": 0.05865246802568436, "learning_rate": 3.531334448900928e-05, "loss": 0.008386944532394408, "step": 16700 }, { "epoch": 430.7792207792208, "grad_norm": 0.05798732489347458, "learning_rate": 3.510910151730017e-05, "loss": 0.008281524777412414, "step": 16800 }, { "epoch": 433.3376623376623, "grad_norm": 0.04840199276804924, "learning_rate": 3.4904048713148454e-05, "loss": 0.008205247521400451, "step": 16900 }, { "epoch": 435.90909090909093, "grad_norm": 0.0655435249209404, "learning_rate": 3.4698202503178484e-05, "loss": 0.008291175961494446, "step": 17000 }, { "epoch": 435.90909090909093, "eval_exact_match_ratio": 0.08114680660437731, "eval_loss": 0.01775345392525196, "eval_macro_f1": 0.4722220915320051, "eval_macro_precision": 0.7329299559313631, "eval_macro_recall": 0.3677824490997907, "eval_macro_roc_auc": 0.9207820883969813, "eval_micro_f1": 0.570677311030856, "eval_micro_precision": 0.8190787977992998, "eval_micro_recall": 0.4378813291523858, "eval_runtime": 102.5227, "eval_samples_per_second": 76.208, "eval_steps_per_second": 4.77, "step": 17000 }, { "epoch": 438.46753246753246, "grad_norm": 0.07557027041912079, "learning_rate": 3.449157937757375e-05, "loss": 0.007943571805953979, "step": 17100 }, { "epoch": 441.02597402597405, "grad_norm": 0.06562158465385437, "learning_rate": 3.428419588875588e-05, "loss": 0.008024969696998596, "step": 17200 }, { "epoch": 443.5974025974026, "grad_norm": 0.045727718621492386, "learning_rate": 3.4076068650058596e-05, "loss": 0.007892493605613709, "step": 17300 }, { "epoch": 446.15584415584414, "grad_norm": 0.062242183834314346, "learning_rate": 3.3867214334396896e-05, "loss": 0.007983540892601013, "step": 17400 }, { "epoch": 448.72727272727275, "grad_norm": 0.09176430106163025, "learning_rate": 3.365764967293134e-05, "loss": 0.008140393495559693, "step": 17500 }, { "epoch": 448.72727272727275, "eval_exact_match_ratio": 0.08050684756175605, "eval_loss": 0.018921300768852234, "eval_macro_f1": 0.5247225649992565, "eval_macro_precision": 0.6819721460003585, "eval_macro_recall": 0.4462178509471472, "eval_macro_roc_auc": 0.9197569641974261, "eval_micro_f1": 0.61399416909621, "eval_micro_precision": 0.7669057936710244, "eval_micro_recall": 0.5119229927805732, "eval_runtime": 102.4537, "eval_samples_per_second": 76.259, "eval_steps_per_second": 4.773, "step": 17500 }, { "epoch": 451.2857142857143, "grad_norm": 0.069572314620018, "learning_rate": 3.3447391453727736e-05, "loss": 0.008110844492912293, "step": 17600 }, { "epoch": 453.85714285714283, "grad_norm": 0.08083420991897583, "learning_rate": 3.32364565204123e-05, "loss": 0.012586702108383179, "step": 17700 }, { "epoch": 456.4155844155844, "grad_norm": 0.08073645085096359, "learning_rate": 3.302486177082228e-05, "loss": 0.008544116020202637, "step": 17800 }, { "epoch": 458.987012987013, "grad_norm": 0.0571538545191288, "learning_rate": 3.281262415565233e-05, "loss": 0.008015545010566711, "step": 17900 }, { "epoch": 461.54545454545456, "grad_norm": 0.10560425370931625, "learning_rate": 3.2599760677096566e-05, "loss": 0.008030588626861573, "step": 18000 }, { "epoch": 461.54545454545456, "eval_exact_match_ratio": 0.08140279022142582, "eval_loss": 0.0184748824685812, "eval_macro_f1": 0.5029128457480906, "eval_macro_precision": 0.7041952411473982, "eval_macro_recall": 0.4086470727913426, "eval_macro_roc_auc": 0.9201859910354003, "eval_micro_f1": 0.600189419564335, "eval_micro_precision": 0.7865248226950354, "eval_micro_recall": 0.48523299059286806, "eval_runtime": 102.3897, "eval_samples_per_second": 76.306, "eval_steps_per_second": 4.776, "step": 18000 }, { "epoch": 464.1038961038961, "grad_norm": 0.20402133464813232, "learning_rate": 3.238628838748653e-05, "loss": 0.00802460491657257, "step": 18100 }, { "epoch": 466.6753246753247, "grad_norm": 0.07640907913446426, "learning_rate": 3.217222438792517e-05, "loss": 0.008065465092658996, "step": 18200 }, { "epoch": 469.23376623376623, "grad_norm": 0.05053655430674553, "learning_rate": 3.1957585826916856e-05, "loss": 0.00797804892063141, "step": 18300 }, { "epoch": 471.8051948051948, "grad_norm": 0.07274461537599564, "learning_rate": 3.1742389898993675e-05, "loss": 0.00811425805091858, "step": 18400 }, { "epoch": 474.3636363636364, "grad_norm": 0.08433771133422852, "learning_rate": 3.152665384333791e-05, "loss": 0.007987116575241088, "step": 18500 }, { "epoch": 474.3636363636364, "eval_exact_match_ratio": 0.08217074107257136, "eval_loss": 0.019883858039975166, "eval_macro_f1": 0.5164657636910949, "eval_macro_precision": 0.6930716865996135, "eval_macro_recall": 0.4274164596148955, "eval_macro_roc_auc": 0.9170862775179656, "eval_micro_f1": 0.5956786403085824, "eval_micro_precision": 0.7835031114986721, "eval_micro_recall": 0.4804929628819368, "eval_runtime": 102.446, "eval_samples_per_second": 76.265, "eval_steps_per_second": 4.773, "step": 18500 }, { "epoch": 476.93506493506493, "grad_norm": 0.06414658576250076, "learning_rate": 3.131039494240107e-05, "loss": 0.007713909745216369, "step": 18600 }, { "epoch": 479.4935064935065, "grad_norm": 0.05157611891627312, "learning_rate": 3.109363052051944e-05, "loss": 0.007647395133972168, "step": 18700 }, { "epoch": 482.05194805194805, "grad_norm": 0.07206937670707703, "learning_rate": 3.0876377942526166e-05, "loss": 0.007665642499923706, "step": 18800 }, { "epoch": 484.6233766233766, "grad_norm": 0.062469009310007095, "learning_rate": 3.0658654612360246e-05, "loss": 0.007545911073684693, "step": 18900 }, { "epoch": 487.1818181818182, "grad_norm": 0.07884809374809265, "learning_rate": 3.044047797167222e-05, "loss": 0.007437369227409363, "step": 19000 }, { "epoch": 487.1818181818182, "eval_exact_match_ratio": 0.078970945859465, "eval_loss": 0.018954811617732048, "eval_macro_f1": 0.5000744829757097, "eval_macro_precision": 0.7138213385513621, "eval_macro_recall": 0.4066385603558665, "eval_macro_roc_auc": 0.9175250522097761, "eval_micro_f1": 0.5868171640646567, "eval_micro_precision": 0.7949474384011301, "eval_micro_recall": 0.46505748802839153, "eval_runtime": 102.4305, "eval_samples_per_second": 76.276, "eval_steps_per_second": 4.774, "step": 19000 }, { "epoch": 489.75324675324674, "grad_norm": 0.04569287598133087, "learning_rate": 3.0221865498427038e-05, "loss": 0.007479221820831299, "step": 19100 }, { "epoch": 492.31168831168833, "grad_norm": 0.06724037230014801, "learning_rate": 3.0002834705503862e-05, "loss": 0.007417883276939392, "step": 19200 }, { "epoch": 494.8831168831169, "grad_norm": 0.06905155628919601, "learning_rate": 2.9783403139293103e-05, "loss": 0.007773596048355103, "step": 19300 }, { "epoch": 497.4415584415584, "grad_norm": 0.06041852384805679, "learning_rate": 2.956358837829083e-05, "loss": 0.007952988743782044, "step": 19400 }, { "epoch": 500.0, "grad_norm": 0.11891217529773712, "learning_rate": 2.934340803169055e-05, "loss": 0.007487051486968994, "step": 19500 }, { "epoch": 500.0, "eval_exact_match_ratio": 0.08293869192371688, "eval_loss": 0.01937742345035076, "eval_macro_f1": 0.5192784158682981, "eval_macro_precision": 0.6897390500461071, "eval_macro_recall": 0.43222927870173006, "eval_macro_roc_auc": 0.9210025526507667, "eval_micro_f1": 0.5999253341297692, "eval_micro_precision": 0.7777820800743437, "eval_micro_recall": 0.48827146989474707, "eval_runtime": 102.4352, "eval_samples_per_second": 76.273, "eval_steps_per_second": 4.774, "step": 19500 }, { "epoch": 502.57142857142856, "grad_norm": 0.06379847973585129, "learning_rate": 2.9122879737972557e-05, "loss": 0.007715587615966797, "step": 19600 }, { "epoch": 505.12987012987014, "grad_norm": 0.10253430157899857, "learning_rate": 2.8902021163490935e-05, "loss": 0.00750508964061737, "step": 19700 }, { "epoch": 507.7012987012987, "grad_norm": 0.06131616607308388, "learning_rate": 2.8680850001058278e-05, "loss": 0.007374524474143982, "step": 19800 }, { "epoch": 510.2597402597403, "grad_norm": 0.17613640427589417, "learning_rate": 2.845938396852841e-05, "loss": 0.007288593053817749, "step": 19900 }, { "epoch": 512.8311688311688, "grad_norm": 0.06226614862680435, "learning_rate": 2.8237640807376913e-05, "loss": 0.007043229341506958, "step": 20000 }, { "epoch": 512.8311688311688, "eval_exact_match_ratio": 0.08396262639191092, "eval_loss": 0.018526235595345497, "eval_macro_f1": 0.49900657541274457, "eval_macro_precision": 0.7015647685000564, "eval_macro_recall": 0.41016326992459046, "eval_macro_roc_auc": 0.919464958554154, "eval_micro_f1": 0.5897169724910695, "eval_micro_precision": 0.7926704149054048, "eval_micro_recall": 0.4695058217263424, "eval_runtime": 102.44, "eval_samples_per_second": 76.269, "eval_steps_per_second": 4.774, "step": 20000 }, { "epoch": 515.3896103896104, "grad_norm": 0.06631801277399063, "learning_rate": 2.8015638281280005e-05, "loss": 0.007223088741302491, "step": 20100 }, { "epoch": 517.961038961039, "grad_norm": 0.07037802785634995, "learning_rate": 2.7793394174691375e-05, "loss": 0.007282387018203735, "step": 20200 }, { "epoch": 520.5194805194806, "grad_norm": 0.04856858775019646, "learning_rate": 2.7570926291417564e-05, "loss": 0.007098578214645386, "step": 20300 }, { "epoch": 523.077922077922, "grad_norm": 0.07581399381160736, "learning_rate": 2.7348252453191686e-05, "loss": 0.006906571984291077, "step": 20400 }, { "epoch": 525.6493506493506, "grad_norm": 0.0609334260225296, "learning_rate": 2.7125390498245768e-05, "loss": 0.00665643036365509, "step": 20500 }, { "epoch": 525.6493506493506, "eval_exact_match_ratio": 0.08370664277486241, "eval_loss": 0.01919318363070488, "eval_macro_f1": 0.517190556697626, "eval_macro_precision": 0.7064945903569632, "eval_macro_recall": 0.4219813566177954, "eval_macro_roc_auc": 0.9193944928124468, "eval_micro_f1": 0.6047604087189384, "eval_micro_precision": 0.7863367569249922, "eval_micro_recall": 0.4913099491966261, "eval_runtime": 102.4915, "eval_samples_per_second": 76.231, "eval_steps_per_second": 4.771, "step": 20500 }, { "epoch": 528.2077922077922, "grad_norm": 0.0603305846452713, "learning_rate": 2.6902358279881705e-05, "loss": 0.0069662582874298095, "step": 20600 }, { "epoch": 530.7792207792207, "grad_norm": 0.07023122906684875, "learning_rate": 2.6679173665041074e-05, "loss": 0.006979672908782959, "step": 20700 }, { "epoch": 533.3376623376623, "grad_norm": 0.04295852407813072, "learning_rate": 2.6455854532873807e-05, "loss": 0.006755899786949158, "step": 20800 }, { "epoch": 535.9090909090909, "grad_norm": 0.09937848150730133, "learning_rate": 2.6232418773305935e-05, "loss": 0.006762274503707886, "step": 20900 }, { "epoch": 538.4675324675325, "grad_norm": 0.07118673622608185, "learning_rate": 2.6008884285606405e-05, "loss": 0.007052455544471741, "step": 21000 }, { "epoch": 538.4675324675325, "eval_exact_match_ratio": 0.08869832330730833, "eval_loss": 0.018636878579854965, "eval_macro_f1": 0.5187186366390416, "eval_macro_precision": 0.7058134511458013, "eval_macro_recall": 0.42410991039587237, "eval_macro_roc_auc": 0.9204623680132684, "eval_micro_f1": 0.611543951469014, "eval_micro_precision": 0.7874181567561358, "eval_micro_recall": 0.49989061474513236, "eval_runtime": 102.4549, "eval_samples_per_second": 76.258, "eval_steps_per_second": 4.773, "step": 21000 }, { "epoch": 541.025974025974, "grad_norm": 0.045981913805007935, "learning_rate": 2.578526897695321e-05, "loss": 0.006719233989715576, "step": 21100 }, { "epoch": 543.5974025974026, "grad_norm": 0.04921331629157066, "learning_rate": 2.5561590760998844e-05, "loss": 0.006752750277519226, "step": 21200 }, { "epoch": 546.1558441558442, "grad_norm": 0.05600263550877571, "learning_rate": 2.533786755643526e-05, "loss": 0.006711591482162476, "step": 21300 }, { "epoch": 548.7272727272727, "grad_norm": 0.10798894613981247, "learning_rate": 2.5114117285558402e-05, "loss": 0.006908068656921387, "step": 21400 }, { "epoch": 551.2857142857143, "grad_norm": 3.2802741527557373, "learning_rate": 2.4890357872832497e-05, "loss": 0.00682065486907959, "step": 21500 }, { "epoch": 551.2857142857143, "eval_exact_match_ratio": 0.08703442979649302, "eval_loss": 0.019169533625245094, "eval_macro_f1": 0.519388429251354, "eval_macro_precision": 0.6924490148287507, "eval_macro_recall": 0.43284218884773823, "eval_macro_roc_auc": 0.9204647135184783, "eval_micro_f1": 0.6107118083740425, "eval_micro_precision": 0.7772935607483658, "eval_micro_recall": 0.5029290940470114, "eval_runtime": 102.4504, "eval_samples_per_second": 76.261, "eval_steps_per_second": 4.773, "step": 21500 }, { "epoch": 553.8571428571429, "grad_norm": 0.052002616226673126, "learning_rate": 2.4666607243454113e-05, "loss": 0.006475589871406555, "step": 21600 }, { "epoch": 556.4155844155844, "grad_norm": 0.057201314717531204, "learning_rate": 2.4442883321916162e-05, "loss": 0.006451610922813416, "step": 21700 }, { "epoch": 558.987012987013, "grad_norm": 0.07654105126857758, "learning_rate": 2.4219204030572056e-05, "loss": 0.006630535125732422, "step": 21800 }, { "epoch": 561.5454545454545, "grad_norm": 0.0669059008359909, "learning_rate": 2.3995587288199893e-05, "loss": 0.006242602467536927, "step": 21900 }, { "epoch": 564.1038961038961, "grad_norm": 0.0663963183760643, "learning_rate": 2.3772051008566998e-05, "loss": 0.006227378249168396, "step": 22000 }, { "epoch": 564.1038961038961, "eval_exact_match_ratio": 0.0862664789453475, "eval_loss": 0.018407773226499557, "eval_macro_f1": 0.5033171825135012, "eval_macro_precision": 0.716437883141322, "eval_macro_recall": 0.404093693013916, "eval_macro_roc_auc": 0.9219270573353048, "eval_micro_f1": 0.5866724268279512, "eval_micro_precision": 0.8030751034890597, "eval_micro_recall": 0.4621405478985877, "eval_runtime": 102.4381, "eval_samples_per_second": 76.27, "eval_steps_per_second": 4.774, "step": 22000 }, { "epoch": 566.6753246753246, "grad_norm": 0.1108517125248909, "learning_rate": 2.3548613098994942e-05, "loss": 0.00636039912700653, "step": 22100 }, { "epoch": 569.2337662337662, "grad_norm": 0.26771992444992065, "learning_rate": 2.332529145892489e-05, "loss": 0.006258840560913086, "step": 22200 }, { "epoch": 571.8051948051948, "grad_norm": 0.07792654633522034, "learning_rate": 2.3102103978483786e-05, "loss": 0.0062644177675247196, "step": 22300 }, { "epoch": 574.3636363636364, "grad_norm": 0.058059047907590866, "learning_rate": 2.2879068537051118e-05, "loss": 0.006302875280380249, "step": 22400 }, { "epoch": 576.9350649350649, "grad_norm": 0.07015325874090195, "learning_rate": 2.2656203001826677e-05, "loss": 0.006340340375900268, "step": 22500 }, { "epoch": 576.9350649350649, "eval_exact_match_ratio": 0.08588250351977474, "eval_loss": 0.01992851123213768, "eval_macro_f1": 0.5326560761262493, "eval_macro_precision": 0.6843528286112909, "eval_macro_recall": 0.4536617861823306, "eval_macro_roc_auc": 0.9193491146852543, "eval_micro_f1": 0.6285494025440062, "eval_micro_precision": 0.7615193026151931, "eval_micro_recall": 0.5351126668125137, "eval_runtime": 102.5313, "eval_samples_per_second": 76.201, "eval_steps_per_second": 4.769, "step": 22500 }, { "epoch": 579.4935064935065, "grad_norm": 0.0467400997877121, "learning_rate": 2.243352522639916e-05, "loss": 0.006265664100646972, "step": 22600 }, { "epoch": 582.0519480519481, "grad_norm": 0.058566998690366745, "learning_rate": 2.221105304931599e-05, "loss": 0.006237353682518005, "step": 22700 }, { "epoch": 584.6233766233767, "grad_norm": 0.08225824683904648, "learning_rate": 2.198880429265427e-05, "loss": 0.006210183501243591, "step": 22800 }, { "epoch": 587.1818181818181, "grad_norm": 0.044421106576919556, "learning_rate": 2.1766796760593037e-05, "loss": 0.005878788828849793, "step": 22900 }, { "epoch": 589.7532467532468, "grad_norm": 0.060877785086631775, "learning_rate": 2.154504823798704e-05, "loss": 0.005977361798286438, "step": 23000 }, { "epoch": 589.7532467532468, "eval_exact_match_ratio": 0.0890822987328811, "eval_loss": 0.019213346764445305, "eval_macro_f1": 0.5308768421530116, "eval_macro_precision": 0.6984561703055269, "eval_macro_recall": 0.44094993012900996, "eval_macro_roc_auc": 0.917706661134088, "eval_micro_f1": 0.6160920895544386, "eval_micro_precision": 0.7825370675453048, "eval_micro_recall": 0.5080337392741681, "eval_runtime": 102.4297, "eval_samples_per_second": 76.277, "eval_steps_per_second": 4.774, "step": 23000 }, { "epoch": 592.3116883116883, "grad_norm": 0.06045812740921974, "learning_rate": 2.132357648894195e-05, "loss": 0.006307604312896728, "step": 23100 }, { "epoch": 594.8831168831168, "grad_norm": 0.047916702926158905, "learning_rate": 2.1102399255391337e-05, "loss": 0.006031628251075744, "step": 23200 }, { "epoch": 597.4415584415584, "grad_norm": 0.07191205769777298, "learning_rate": 2.0881534255675356e-05, "loss": 0.006112837791442871, "step": 23300 }, { "epoch": 600.0, "grad_norm": 0.08692576736211777, "learning_rate": 2.066099918312132e-05, "loss": 0.006083353161811828, "step": 23400 }, { "epoch": 602.5714285714286, "grad_norm": 0.05415201559662819, "learning_rate": 2.044081170462638e-05, "loss": 0.006193019151687622, "step": 23500 }, { "epoch": 602.5714285714286, "eval_exact_match_ratio": 0.08524254447715346, "eval_loss": 0.018975459039211273, "eval_macro_f1": 0.5187755372247677, "eval_macro_precision": 0.6936045861883563, "eval_macro_recall": 0.4258015695655271, "eval_macro_roc_auc": 0.9178839451406456, "eval_micro_f1": 0.6080152048346623, "eval_micro_precision": 0.7812118437118437, "eval_micro_recall": 0.49767860181336443, "eval_runtime": 102.4368, "eval_samples_per_second": 76.271, "eval_steps_per_second": 4.774, "step": 23500 }, { "epoch": 605.1298701298701, "grad_norm": 0.06566471606492996, "learning_rate": 2.0220989459242133e-05, "loss": 0.006098871827125549, "step": 23600 }, { "epoch": 607.7012987012987, "grad_norm": 1.7153992652893066, "learning_rate": 2.0001550056761675e-05, "loss": 0.0059553635120391845, "step": 23700 }, { "epoch": 610.2597402597403, "grad_norm": 0.06797078251838684, "learning_rate": 1.9782511076308815e-05, "loss": 0.0059465599060058594, "step": 23800 }, { "epoch": 612.8311688311688, "grad_norm": 0.042730364948511124, "learning_rate": 1.9563890064929897e-05, "loss": 0.005820088386535645, "step": 23900 }, { "epoch": 615.3896103896104, "grad_norm": 0.054665978997945786, "learning_rate": 1.934570453618803e-05, "loss": 0.00604570984840393, "step": 24000 }, { "epoch": 615.3896103896104, "eval_exact_match_ratio": 0.08754639703059004, "eval_loss": 0.01899653859436512, "eval_macro_f1": 0.5116703285892151, "eval_macro_precision": 0.7140171782293508, "eval_macro_recall": 0.4144373553882202, "eval_macro_roc_auc": 0.9184215515074319, "eval_micro_f1": 0.6024522625221111, "eval_micro_precision": 0.7968325067989122, "eval_micro_recall": 0.4843092928850969, "eval_runtime": 102.4302, "eval_samples_per_second": 76.276, "eval_steps_per_second": 4.774, "step": 24000 }, { "epoch": 617.961038961039, "grad_norm": 0.0778375044465065, "learning_rate": 1.912797196876017e-05, "loss": 0.0058346974849700925, "step": 24100 }, { "epoch": 620.5194805194806, "grad_norm": 0.08718080818653107, "learning_rate": 1.8910709805036894e-05, "loss": 0.005794444680213928, "step": 24200 }, { "epoch": 623.077922077922, "grad_norm": 0.05367223173379898, "learning_rate": 1.8693935449725065e-05, "loss": 0.005720954537391663, "step": 24300 }, { "epoch": 625.6493506493506, "grad_norm": 0.04278705269098282, "learning_rate": 1.847766626845362e-05, "loss": 0.005706824660301209, "step": 24400 }, { "epoch": 628.2077922077922, "grad_norm": 0.059389378875494, "learning_rate": 1.8261919586382353e-05, "loss": 0.005698502659797668, "step": 24500 }, { "epoch": 628.2077922077922, "eval_exact_match_ratio": 0.08677844617944451, "eval_loss": 0.01986958645284176, "eval_macro_f1": 0.5196027596854446, "eval_macro_precision": 0.695960295868562, "eval_macro_recall": 0.43010956509184517, "eval_macro_roc_auc": 0.9181660211732365, "eval_micro_f1": 0.6097643843710762, "eval_micro_precision": 0.7771878294923934, "eval_micro_recall": 0.5016893944918447, "eval_runtime": 102.4483, "eval_samples_per_second": 76.263, "eval_steps_per_second": 4.773, "step": 24500 }, { "epoch": 630.7792207792207, "grad_norm": 0.05704973638057709, "learning_rate": 1.804671268681407e-05, "loss": 0.005646364688873291, "step": 24600 }, { "epoch": 633.3376623376623, "grad_norm": 0.08267273008823395, "learning_rate": 1.7832062809810014e-05, "loss": 0.005629185438156128, "step": 24700 }, { "epoch": 635.9090909090909, "grad_norm": 0.7053768634796143, "learning_rate": 1.7617987150808732e-05, "loss": 0.005555727481842041, "step": 24800 }, { "epoch": 638.4675324675325, "grad_norm": 0.07147101312875748, "learning_rate": 1.7404502859248654e-05, "loss": 0.005533997416496277, "step": 24900 }, { "epoch": 641.025974025974, "grad_norm": 0.05342170596122742, "learning_rate": 1.7191627037194186e-05, "loss": 0.005432799458503723, "step": 25000 }, { "epoch": 641.025974025974, "eval_exact_match_ratio": 0.09036221681812363, "eval_loss": 0.020724816247820854, "eval_macro_f1": 0.5382663740140988, "eval_macro_precision": 0.683825789003131, "eval_macro_recall": 0.45486292848211296, "eval_macro_roc_auc": 0.9167133000856893, "eval_micro_f1": 0.6248647400845465, "eval_micro_precision": 0.7686710208717876, "eval_micro_recall": 0.5263861542575172, "eval_runtime": 102.4518, "eval_samples_per_second": 76.26, "eval_steps_per_second": 4.773, "step": 25000 }, { "epoch": 643.5974025974026, "grad_norm": 0.0691411942243576, "learning_rate": 1.6979376737965715e-05, "loss": 0.005394455790519714, "step": 25100 }, { "epoch": 646.1558441558442, "grad_norm": 0.05541299283504486, "learning_rate": 1.6767768964773462e-05, "loss": 0.00530026376247406, "step": 25200 }, { "epoch": 648.7272727272727, "grad_norm": 0.06575076282024384, "learning_rate": 1.6556820669355368e-05, "loss": 0.005507146716117859, "step": 25300 }, { "epoch": 651.2857142857143, "grad_norm": 0.05441686883568764, "learning_rate": 1.6346548750619132e-05, "loss": 0.005455752611160278, "step": 25400 }, { "epoch": 653.8571428571429, "grad_norm": 0.06322501599788666, "learning_rate": 1.6136970053288407e-05, "loss": 0.005336692333221435, "step": 25500 }, { "epoch": 653.8571428571429, "eval_exact_match_ratio": 0.09164213490336619, "eval_loss": 0.020510081201791763, "eval_macro_f1": 0.5326481503388606, "eval_macro_precision": 0.6863773093457161, "eval_macro_recall": 0.44768434106788085, "eval_macro_roc_auc": 0.9177996942670225, "eval_micro_f1": 0.6191676991472924, "eval_micro_precision": 0.7732833321197117, "eval_micro_recall": 0.5162740951408639, "eval_runtime": 102.4821, "eval_samples_per_second": 76.238, "eval_steps_per_second": 4.772, "step": 25500 }, { "epoch": 656.4155844155844, "grad_norm": 0.05284987390041351, "learning_rate": 1.5928101366553444e-05, "loss": 0.005241130590438843, "step": 25600 }, { "epoch": 658.987012987013, "grad_norm": 0.0750289261341095, "learning_rate": 1.5719959422726026e-05, "loss": 0.005260994434356689, "step": 25700 }, { "epoch": 661.5454545454545, "grad_norm": 0.06609339267015457, "learning_rate": 1.5512560895899178e-05, "loss": 0.005315477848052978, "step": 25800 }, { "epoch": 664.1038961038961, "grad_norm": 0.06626884639263153, "learning_rate": 1.53059224006113e-05, "loss": 0.005291938185691834, "step": 25900 }, { "epoch": 666.6753246753246, "grad_norm": 0.0454958900809288, "learning_rate": 1.5100060490515267e-05, "loss": 0.005286111831665039, "step": 26000 }, { "epoch": 666.6753246753246, "eval_exact_match_ratio": 0.0862664789453475, "eval_loss": 0.01993655227124691, "eval_macro_f1": 0.5263185100891884, "eval_macro_precision": 0.703115935221635, "eval_macro_recall": 0.43452028856146985, "eval_macro_roc_auc": 0.9170057409055367, "eval_micro_f1": 0.6061583972031733, "eval_micro_precision": 0.7864619678995115, "eval_micro_recall": 0.49310872894333846, "eval_runtime": 102.5114, "eval_samples_per_second": 76.216, "eval_steps_per_second": 4.77, "step": 26000 }, { "epoch": 669.2337662337662, "grad_norm": 0.07089071720838547, "learning_rate": 1.4894991657052318e-05, "loss": 0.005330728888511657, "step": 26100 }, { "epoch": 671.8051948051948, "grad_norm": 0.20719651877880096, "learning_rate": 1.4690732328130891e-05, "loss": 0.005397461652755738, "step": 26200 }, { "epoch": 674.3636363636364, "grad_norm": 0.05946618318557739, "learning_rate": 1.4487298866810664e-05, "loss": 0.005473027229309082, "step": 26300 }, { "epoch": 676.9350649350649, "grad_norm": 0.06262410432100296, "learning_rate": 1.4284707569991662e-05, "loss": 0.005509186387062073, "step": 26400 }, { "epoch": 679.4935064935065, "grad_norm": 0.06768012046813965, "learning_rate": 1.4082974667108768e-05, "loss": 0.005361970663070679, "step": 26500 }, { "epoch": 679.4935064935065, "eval_exact_match_ratio": 0.08869832330730833, "eval_loss": 0.02036813087761402, "eval_macro_f1": 0.5428305872455483, "eval_macro_precision": 0.6891954433620443, "eval_macro_recall": 0.457988531399064, "eval_macro_roc_auc": 0.9174813538600485, "eval_micro_f1": 0.6258097952837522, "eval_micro_precision": 0.7673975214489991, "eval_micro_recall": 0.5283307810107197, "eval_runtime": 102.4605, "eval_samples_per_second": 76.254, "eval_steps_per_second": 4.773, "step": 26500 }, { "epoch": 682.0519480519481, "grad_norm": 0.05607151612639427, "learning_rate": 1.3882116318831584e-05, "loss": 0.005440906286239624, "step": 26600 }, { "epoch": 684.6233766233767, "grad_norm": 0.05418792739510536, "learning_rate": 1.3682148615769783e-05, "loss": 0.005189067125320435, "step": 26700 }, { "epoch": 687.1818181818181, "grad_norm": 0.11867716163396835, "learning_rate": 1.3483087577184155e-05, "loss": 0.005343307852745056, "step": 26800 }, { "epoch": 689.7532467532468, "grad_norm": 0.06363189965486526, "learning_rate": 1.3284949149703258e-05, "loss": 0.004987302422523499, "step": 26900 }, { "epoch": 692.3116883116883, "grad_norm": 0.06163704767823219, "learning_rate": 1.3087749206046007e-05, "loss": 0.00512208878993988, "step": 27000 }, { "epoch": 692.3116883116883, "eval_exact_match_ratio": 0.0893382823499296, "eval_loss": 0.020353108644485474, "eval_macro_f1": 0.5497736284039709, "eval_macro_precision": 0.6856352520657081, "eval_macro_recall": 0.4696166403332373, "eval_macro_roc_auc": 0.9185865366187935, "eval_micro_f1": 0.6307762478976026, "eval_micro_precision": 0.7625004307522658, "eval_micro_recall": 0.5378594521014123, "eval_runtime": 102.4631, "eval_samples_per_second": 76.252, "eval_steps_per_second": 4.772, "step": 27000 }, { "epoch": 694.8831168831168, "grad_norm": 0.05955934524536133, "learning_rate": 1.2891503543750056e-05, "loss": 0.0048657068610191345, "step": 27100 }, { "epoch": 697.4415584415584, "grad_norm": 0.06009102240204811, "learning_rate": 1.2696227883906342e-05, "loss": 0.004967238008975983, "step": 27200 }, { "epoch": 700.0, "grad_norm": 0.07863937318325043, "learning_rate": 1.2501937869899616e-05, "loss": 0.0048710906505584715, "step": 27300 }, { "epoch": 702.5714285714286, "grad_norm": 0.06519953161478043, "learning_rate": 1.2308649066155284e-05, "loss": 0.004968412816524505, "step": 27400 }, { "epoch": 705.1298701298701, "grad_norm": 0.04750102758407593, "learning_rate": 1.2116376956892586e-05, "loss": 0.004930488765239716, "step": 27500 }, { "epoch": 705.1298701298701, "eval_exact_match_ratio": 0.09228209394598745, "eval_loss": 0.02042371965944767, "eval_macro_f1": 0.5315062283942905, "eval_macro_precision": 0.7033915733815073, "eval_macro_recall": 0.43964185993927263, "eval_macro_roc_auc": 0.9162567343563148, "eval_micro_f1": 0.6133586146621832, "eval_micro_precision": 0.78515625, "eval_micro_recall": 0.5032450958944068, "eval_runtime": 102.4426, "eval_samples_per_second": 76.267, "eval_steps_per_second": 4.773, "step": 27500 }, { "epoch": 707.7012987012987, "grad_norm": 0.0600716769695282, "learning_rate": 1.1925136944884118e-05, "loss": 0.005037544369697571, "step": 27600 }, { "epoch": 710.2597402597403, "grad_norm": 0.08386489003896713, "learning_rate": 1.1734944350221971e-05, "loss": 0.004885256588459015, "step": 27700 }, { "epoch": 712.8311688311688, "grad_norm": 0.050300367176532745, "learning_rate": 1.1545814409090393e-05, "loss": 0.004709890782833099, "step": 27800 }, { "epoch": 715.3896103896104, "grad_norm": 0.051148027181625366, "learning_rate": 1.1357762272545305e-05, "loss": 0.004758725762367248, "step": 27900 }, { "epoch": 717.961038961039, "grad_norm": 0.04437381029129028, "learning_rate": 1.117080300530049e-05, "loss": 0.004740619957447052, "step": 28000 }, { "epoch": 717.961038961039, "eval_exact_match_ratio": 0.09087418405222066, "eval_loss": 0.020683255046606064, "eval_macro_f1": 0.5378589945081652, "eval_macro_precision": 0.6895489930482531, "eval_macro_recall": 0.45068156231120365, "eval_macro_roc_auc": 0.9166536224563916, "eval_micro_f1": 0.6207560097380352, "eval_micro_precision": 0.775402432806468, "eval_micro_recall": 0.5175381025304455, "eval_runtime": 102.4462, "eval_samples_per_second": 76.264, "eval_steps_per_second": 4.773, "step": 28000 }, { "epoch": 720.5194805194806, "grad_norm": 0.04835651069879532, "learning_rate": 1.0984951584520803e-05, "loss": 0.00483533650636673, "step": 28100 }, { "epoch": 723.077922077922, "grad_norm": 0.05378466844558716, "learning_rate": 1.0800222898622389e-05, "loss": 0.004820087552070617, "step": 28200 }, { "epoch": 725.6493506493506, "grad_norm": 0.05804194137454033, "learning_rate": 1.0616631746079923e-05, "loss": 0.004568048119544983, "step": 28300 }, { "epoch": 728.2077922077922, "grad_norm": 0.05501865595579147, "learning_rate": 1.0434192834241163e-05, "loss": 0.004445096552371979, "step": 28400 }, { "epoch": 730.7792207792207, "grad_norm": 0.06859777122735977, "learning_rate": 1.025292077814875e-05, "loss": 0.004875591993331909, "step": 28500 }, { "epoch": 730.7792207792207, "eval_exact_match_ratio": 0.09356201203123, "eval_loss": 0.020116720348596573, "eval_macro_f1": 0.5353128036191978, "eval_macro_precision": 0.7085658267938172, "eval_macro_recall": 0.44253946802379573, "eval_macro_roc_auc": 0.9177891899462797, "eval_micro_f1": 0.618904593639576, "eval_micro_precision": 0.7848101265822784, "eval_micro_recall": 0.5109020637351418, "eval_runtime": 102.4904, "eval_samples_per_second": 76.232, "eval_steps_per_second": 4.771, "step": 28500 }, { "epoch": 733.3376623376623, "grad_norm": 0.07353351265192032, "learning_rate": 1.0072830099369362e-05, "loss": 0.004735169410705567, "step": 28600 }, { "epoch": 735.9090909090909, "grad_norm": 0.07899585366249084, "learning_rate": 9.893935224830484e-06, "loss": 0.004543424546718597, "step": 28700 }, { "epoch": 738.4675324675325, "grad_norm": 0.0518750436604023, "learning_rate": 9.716250485664586e-06, "loss": 0.004658754169940949, "step": 28800 }, { "epoch": 741.025974025974, "grad_norm": 0.039970334619283676, "learning_rate": 9.539790116061151e-06, "loss": 0.004515608549118042, "step": 28900 }, { "epoch": 743.5974025974026, "grad_norm": 0.05125045403838158, "learning_rate": 9.364568252126319e-06, "loss": 0.004613224565982819, "step": 29000 }, { "epoch": 743.5974025974026, "eval_exact_match_ratio": 0.0924100857545117, "eval_loss": 0.020941568538546562, "eval_macro_f1": 0.5390058053687804, "eval_macro_precision": 0.6973278001560494, "eval_macro_recall": 0.45079511207887135, "eval_macro_roc_auc": 0.9154630758415354, "eval_micro_f1": 0.6170613880051844, "eval_micro_precision": 0.7828979332511119, "eval_micro_recall": 0.5092005153260896, "eval_runtime": 102.4716, "eval_samples_per_second": 76.246, "eval_steps_per_second": 4.772, "step": 29000 }, { "epoch": 746.1558441558442, "grad_norm": 0.11053027212619781, "learning_rate": 9.190598930750502e-06, "loss": 0.0046744984388351445, "step": 29100 }, { "epoch": 748.7272727272727, "grad_norm": 0.05686669796705246, "learning_rate": 9.01789608848386e-06, "loss": 0.004727273285388947, "step": 29200 }, { "epoch": 751.2857142857143, "grad_norm": 0.055179938673973083, "learning_rate": 8.846473560419888e-06, "loss": 0.004479790329933167, "step": 29300 }, { "epoch": 753.8571428571429, "grad_norm": 0.05653301998972893, "learning_rate": 8.676345079087087e-06, "loss": 0.004562745094299317, "step": 29400 }, { "epoch": 756.4155844155844, "grad_norm": 0.0768360048532486, "learning_rate": 8.507524273348835e-06, "loss": 0.004600732326507568, "step": 29500 }, { "epoch": 756.4155844155844, "eval_exact_match_ratio": 0.09343402022270575, "eval_loss": 0.021207865327596664, "eval_macro_f1": 0.5393111862830572, "eval_macro_precision": 0.6917878939386617, "eval_macro_recall": 0.4536591544852183, "eval_macro_roc_auc": 0.9165133828176482, "eval_micro_f1": 0.6232494624905572, "eval_micro_precision": 0.7744882117196809, "eval_micro_recall": 0.5214273560368506, "eval_runtime": 102.4626, "eval_samples_per_second": 76.252, "eval_steps_per_second": 4.772, "step": 29500 }, { "epoch": 758.987012987013, "grad_norm": 0.0622091069817543, "learning_rate": 8.340024667311643e-06, "loss": 0.004532504975795746, "step": 29600 }, { "epoch": 761.5454545454545, "grad_norm": 0.07209206372499466, "learning_rate": 8.173859679241683e-06, "loss": 0.004609873294830322, "step": 29700 }, { "epoch": 764.1038961038961, "grad_norm": 0.06777409464120865, "learning_rate": 8.009042620489925e-06, "loss": 0.004413497447967529, "step": 29800 }, { "epoch": 766.6753246753246, "grad_norm": 0.07615849375724792, "learning_rate": 7.84558669442573e-06, "loss": 0.004251837432384491, "step": 29900 }, { "epoch": 769.2337662337662, "grad_norm": 0.09144994616508484, "learning_rate": 7.683504995379148e-06, "loss": 0.004310681521892548, "step": 30000 }, { "epoch": 769.2337662337662, "eval_exact_match_ratio": 0.09023422500959939, "eval_loss": 0.021334001794457436, "eval_macro_f1": 0.5402881748890329, "eval_macro_precision": 0.6899468496407114, "eval_macro_recall": 0.45428226732850757, "eval_macro_roc_auc": 0.9167386011721886, "eval_micro_f1": 0.6215267153327214, "eval_micro_precision": 0.7757893205296086, "eval_micro_recall": 0.5184374924038018, "eval_runtime": 102.4009, "eval_samples_per_second": 76.298, "eval_steps_per_second": 4.775, "step": 30000 }, { "epoch": 771.8051948051948, "grad_norm": 0.0747210830450058, "learning_rate": 7.522810507591963e-06, "loss": 0.004427394568920135, "step": 30100 }, { "epoch": 774.3636363636364, "grad_norm": 0.0587286576628685, "learning_rate": 7.363516104177512e-06, "loss": 0.004328975975513458, "step": 30200 }, { "epoch": 776.9350649350649, "grad_norm": 0.060415104031562805, "learning_rate": 7.205634546089441e-06, "loss": 0.004391759634017944, "step": 30300 }, { "epoch": 779.4935064935065, "grad_norm": 0.06651648879051208, "learning_rate": 7.049178481099411e-06, "loss": 0.0043424275517463685, "step": 30400 }, { "epoch": 782.0519480519481, "grad_norm": 0.054684337228536606, "learning_rate": 6.894160442783945e-06, "loss": 0.004217715859413147, "step": 30500 }, { "epoch": 782.0519480519481, "eval_exact_match_ratio": 0.09023422500959939, "eval_loss": 0.021332407370209694, "eval_macro_f1": 0.5454786648621834, "eval_macro_precision": 0.6855032840659904, "eval_macro_recall": 0.46273205862347355, "eval_macro_roc_auc": 0.9170952435656144, "eval_micro_f1": 0.6272312102920202, "eval_micro_precision": 0.7699299709980901, "eval_micro_recall": 0.5291572473808308, "eval_runtime": 102.4798, "eval_samples_per_second": 76.239, "eval_steps_per_second": 4.772, "step": 30500 }, { "epoch": 784.6233766233767, "grad_norm": 0.03413702920079231, "learning_rate": 6.740592849520314e-06, "loss": 0.004243727922439575, "step": 30600 }, { "epoch": 787.1818181818181, "grad_norm": 0.08396663516759872, "learning_rate": 6.588488003491744e-06, "loss": 0.004365263879299164, "step": 30700 }, { "epoch": 789.7532467532468, "grad_norm": 0.0551944337785244, "learning_rate": 6.437858089701906e-06, "loss": 0.004189511835575104, "step": 30800 }, { "epoch": 792.3116883116883, "grad_norm": 0.05307900533080101, "learning_rate": 6.288715174998749e-06, "loss": 0.004200064539909363, "step": 30900 }, { "epoch": 794.8831168831168, "grad_norm": 0.06540679931640625, "learning_rate": 6.141071207107874e-06, "loss": 0.004175088405609131, "step": 31000 }, { "epoch": 794.8831168831168, "eval_exact_match_ratio": 0.09010623320107514, "eval_loss": 0.022123005241155624, "eval_macro_f1": 0.552493587052672, "eval_macro_precision": 0.6803594261423801, "eval_macro_recall": 0.474371105087053, "eval_macro_roc_auc": 0.917284771118801, "eval_micro_f1": 0.6317771406564252, "eval_micro_precision": 0.7644987572493787, "eval_micro_recall": 0.5383213009552978, "eval_runtime": 102.4636, "eval_samples_per_second": 76.251, "eval_steps_per_second": 4.772, "step": 31000 }, { "epoch": 797.4415584415584, "grad_norm": 0.08182214945554733, "learning_rate": 5.994938013675375e-06, "loss": 0.004129273295402527, "step": 31100 }, { "epoch": 800.0, "grad_norm": 0.09082362800836563, "learning_rate": 5.8503273013203745e-06, "loss": 0.004135433137416839, "step": 31200 }, { "epoch": 802.5714285714286, "grad_norm": 0.047166865319013596, "learning_rate": 5.707250654697169e-06, "loss": 0.0041842591762542725, "step": 31300 }, { "epoch": 805.1298701298701, "grad_norm": 0.05579902231693268, "learning_rate": 5.565719535567212e-06, "loss": 0.004283812642097473, "step": 31400 }, { "epoch": 807.7012987012987, "grad_norm": 0.04604563117027283, "learning_rate": 5.4257452818809564e-06, "loss": 0.004151110947132111, "step": 31500 }, { "epoch": 807.7012987012987, "eval_exact_match_ratio": 0.09036221681812363, "eval_loss": 0.02227086015045643, "eval_macro_f1": 0.55002505268058, "eval_macro_precision": 0.6809654082076066, "eval_macro_recall": 0.472064243270022, "eval_macro_roc_auc": 0.9168277014000817, "eval_micro_f1": 0.6328406710089364, "eval_micro_precision": 0.7649186879823594, "eval_micro_recall": 0.5396582318481247, "eval_runtime": 102.4628, "eval_samples_per_second": 76.252, "eval_steps_per_second": 4.772, "step": 31500 }, { "epoch": 810.2597402597403, "grad_norm": 0.04115508869290352, "learning_rate": 5.287339106869507e-06, "loss": 0.004166992008686065, "step": 31600 }, { "epoch": 812.8311688311688, "grad_norm": 0.045943696051836014, "learning_rate": 5.150512098146409e-06, "loss": 0.0041005188226699825, "step": 31700 }, { "epoch": 815.3896103896104, "grad_norm": 0.08061197400093079, "learning_rate": 5.0152752168193764e-06, "loss": 0.004030687510967254, "step": 31800 }, { "epoch": 817.961038961039, "grad_norm": 0.08528733253479004, "learning_rate": 4.8816392966122306e-06, "loss": 0.004062847495079041, "step": 31900 }, { "epoch": 820.5194805194806, "grad_norm": 0.05935657024383545, "learning_rate": 4.749615042997027e-06, "loss": 0.003978443443775177, "step": 32000 }, { "epoch": 820.5194805194806, "eval_exact_match_ratio": 0.09407397926532701, "eval_loss": 0.022233232855796814, "eval_macro_f1": 0.5488654165676495, "eval_macro_precision": 0.681222886000314, "eval_macro_recall": 0.4695009123125078, "eval_macro_roc_auc": 0.9160235788327328, "eval_micro_f1": 0.6300307374105886, "eval_micro_precision": 0.7700031597795176, "eval_micro_recall": 0.5331194243904811, "eval_runtime": 102.4751, "eval_samples_per_second": 76.243, "eval_steps_per_second": 4.772, "step": 32000 }, { "epoch": 823.077922077922, "grad_norm": 0.5270804762840271, "learning_rate": 4.619213032336409e-06, "loss": 0.003936229050159454, "step": 32100 }, { "epoch": 825.6493506493506, "grad_norm": 0.04487597569823265, "learning_rate": 4.490443711036396e-06, "loss": 0.004148940443992615, "step": 32200 }, { "epoch": 828.2077922077922, "grad_norm": 0.0743882954120636, "learning_rate": 4.3633173947094795e-06, "loss": 0.004046813249588012, "step": 32300 }, { "epoch": 830.7792207792207, "grad_norm": 0.04291708767414093, "learning_rate": 4.23784426734829e-06, "loss": 0.003959880769252777, "step": 32400 }, { "epoch": 833.3376623376623, "grad_norm": 0.049565643072128296, "learning_rate": 4.114034380509737e-06, "loss": 0.004028058350086212, "step": 32500 }, { "epoch": 833.3376623376623, "eval_exact_match_ratio": 0.09445795469089978, "eval_loss": 0.021341387182474136, "eval_macro_f1": 0.5458380783747244, "eval_macro_precision": 0.6917933487081671, "eval_macro_recall": 0.4608674332911666, "eval_macro_roc_auc": 0.9164873156530098, "eval_micro_f1": 0.6276178484072192, "eval_micro_precision": 0.7756313944337125, "eval_micro_recall": 0.5270424657867231, "eval_runtime": 102.4201, "eval_samples_per_second": 76.284, "eval_steps_per_second": 4.774, "step": 32500 }, { "epoch": 835.9090909090909, "grad_norm": 0.7939916253089905, "learning_rate": 3.99189765250979e-06, "loss": 0.004156913161277771, "step": 32600 }, { "epoch": 838.4675324675325, "grad_norm": 0.2271702140569687, "learning_rate": 3.8714438676289515e-06, "loss": 0.004061726033687592, "step": 32700 }, { "epoch": 841.025974025974, "grad_norm": 0.05354131758213043, "learning_rate": 3.752682675328406e-06, "loss": 0.003989363312721253, "step": 32800 }, { "epoch": 843.5974025974026, "grad_norm": 0.06650190055370331, "learning_rate": 3.6356235894770497e-06, "loss": 0.004005050361156464, "step": 32900 }, { "epoch": 846.1558441558442, "grad_norm": 0.05612694099545479, "learning_rate": 3.5202759875893247e-06, "loss": 0.004036085903644562, "step": 33000 }, { "epoch": 846.1558441558442, "eval_exact_match_ratio": 0.09266606937156022, "eval_loss": 0.0219939723610878, "eval_macro_f1": 0.5526371489281796, "eval_macro_precision": 0.6811432438459936, "eval_macro_recall": 0.4743215700661558, "eval_macro_roc_auc": 0.9170157989509532, "eval_micro_f1": 0.6313078562946218, "eval_micro_precision": 0.7672671628295193, "eval_micro_recall": 0.5362794428644352, "eval_runtime": 102.4551, "eval_samples_per_second": 76.258, "eval_steps_per_second": 4.773, "step": 33000 }, { "epoch": 848.7272727272727, "grad_norm": 0.04954937845468521, "learning_rate": 3.4066491100739923e-06, "loss": 0.003917406499385834, "step": 33100 }, { "epoch": 851.2857142857143, "grad_norm": 0.04812461882829666, "learning_rate": 3.2947520594938804e-06, "loss": 0.003960456252098083, "step": 33200 }, { "epoch": 853.8571428571429, "grad_norm": 0.056437257677316666, "learning_rate": 3.1845937998366966e-06, "loss": 0.004030337333679199, "step": 33300 }, { "epoch": 856.4155844155844, "grad_norm": 0.06082282215356827, "learning_rate": 3.076183155796947e-06, "loss": 0.003885360062122345, "step": 33400 }, { "epoch": 858.987012987013, "grad_norm": 0.04901837557554245, "learning_rate": 2.9695288120689527e-06, "loss": 0.0038607800006866455, "step": 33500 }, { "epoch": 858.987012987013, "eval_exact_match_ratio": 0.09458594649942403, "eval_loss": 0.02158532477915287, "eval_macro_f1": 0.5468801945713692, "eval_macro_precision": 0.6889413932339268, "eval_macro_recall": 0.46205305380055683, "eval_macro_roc_auc": 0.9174391135187892, "eval_micro_f1": 0.6256536539436518, "eval_micro_precision": 0.7741611700602237, "eval_micro_recall": 0.5249519920270304, "eval_runtime": 102.471, "eval_samples_per_second": 76.246, "eval_steps_per_second": 4.772, "step": 33500 }, { "epoch": 861.5454545454545, "grad_norm": 0.06145643815398216, "learning_rate": 2.864639312651174e-06, "loss": 0.004067351520061493, "step": 33600 }, { "epoch": 864.1038961038961, "grad_norm": 0.06027722731232643, "learning_rate": 2.7615230601617163e-06, "loss": 0.003923779428005219, "step": 33700 }, { "epoch": 866.6753246753246, "grad_norm": 0.19871559739112854, "learning_rate": 2.6601883151652324e-06, "loss": 0.0039792534708976745, "step": 33800 }, { "epoch": 869.2337662337662, "grad_norm": 0.06889095157384872, "learning_rate": 2.5606431955111672e-06, "loss": 0.0037630471587181092, "step": 33900 }, { "epoch": 871.8051948051948, "grad_norm": 0.05139719322323799, "learning_rate": 2.462895675683416e-06, "loss": 0.003732728362083435, "step": 34000 }, { "epoch": 871.8051948051948, "eval_exact_match_ratio": 0.09266606937156022, "eval_loss": 0.022047758102416992, "eval_macro_f1": 0.5519438408644283, "eval_macro_precision": 0.6881882167648339, "eval_macro_recall": 0.47097013584045666, "eval_macro_roc_auc": 0.9169544490121787, "eval_micro_f1": 0.6315019575786258, "eval_micro_precision": 0.7700944386149003, "eval_micro_recall": 0.5351855903157587, "eval_runtime": 102.4588, "eval_samples_per_second": 76.255, "eval_steps_per_second": 4.773, "step": 34000 }, { "epoch": 874.3636363636364, "grad_norm": 0.052824586629867554, "learning_rate": 2.3669535861615465e-06, "loss": 0.0039046216011047363, "step": 34100 }, { "epoch": 876.9350649350649, "grad_norm": 0.04024183005094528, "learning_rate": 2.2728246127934534e-06, "loss": 0.0038760393857955933, "step": 34200 }, { "epoch": 879.4935064935065, "grad_norm": 0.05224721133708954, "learning_rate": 2.1805162961796882e-06, "loss": 0.0037830841541290285, "step": 34300 }, { "epoch": 882.0519480519481, "grad_norm": 0.03586350008845329, "learning_rate": 2.0900360310693646e-06, "loss": 0.0037104877829551696, "step": 34400 }, { "epoch": 884.6233766233767, "grad_norm": 0.06388697773218155, "learning_rate": 2.0013910657677855e-06, "loss": 0.003926326334476471, "step": 34500 }, { "epoch": 884.6233766233767, "eval_exact_match_ratio": 0.09266606937156022, "eval_loss": 0.022172635421156883, "eval_macro_f1": 0.552790260776053, "eval_macro_precision": 0.6847316585204405, "eval_macro_recall": 0.47308025495494516, "eval_macro_roc_auc": 0.9172368166779918, "eval_micro_f1": 0.6327479044306323, "eval_micro_precision": 0.7650384363473405, "eval_micro_recall": 0.5394637691728044, "eval_runtime": 102.4638, "eval_samples_per_second": 76.251, "eval_steps_per_second": 4.772, "step": 34500 }, { "epoch": 887.1818181818181, "grad_norm": 0.06209539622068405, "learning_rate": 1.9145885015557726e-06, "loss": 0.0038799986243247984, "step": 34600 }, { "epoch": 889.7532467532468, "grad_norm": 0.04874173179268837, "learning_rate": 1.8296352921208044e-06, "loss": 0.003744651973247528, "step": 34700 }, { "epoch": 892.3116883116883, "grad_norm": 0.03912191465497017, "learning_rate": 1.7465382429999511e-06, "loss": 0.003766476511955261, "step": 34800 }, { "epoch": 894.8831168831168, "grad_norm": 0.057853471487760544, "learning_rate": 1.6653040110346824e-06, "loss": 0.0038407155871391296, "step": 34900 }, { "epoch": 897.4415584415584, "grad_norm": 0.058590102940797806, "learning_rate": 1.5859391038376165e-06, "loss": 0.0037665438652038576, "step": 35000 }, { "epoch": 897.4415584415584, "eval_exact_match_ratio": 0.09305004479713298, "eval_loss": 0.02215137891471386, "eval_macro_f1": 0.5528647349627238, "eval_macro_precision": 0.6873987077415322, "eval_macro_recall": 0.47146761168848705, "eval_macro_roc_auc": 0.9171181743901659, "eval_micro_f1": 0.6322933520424965, "eval_micro_precision": 0.7692843704271479, "eval_micro_recall": 0.5367169838839058, "eval_runtime": 102.511, "eval_samples_per_second": 76.216, "eval_steps_per_second": 4.77, "step": 35000 }, { "epoch": 900.0, "grad_norm": 0.06625393778085709, "learning_rate": 1.5084498792711622e-06, "loss": 0.003918989896774292, "step": 35100 }, { "epoch": 902.5714285714286, "grad_norm": 0.0739719569683075, "learning_rate": 1.4328425449382428e-06, "loss": 0.0036373594403266906, "step": 35200 }, { "epoch": 905.1298701298701, "grad_norm": 0.08472265303134918, "learning_rate": 1.3591231576849662e-06, "loss": 0.0038391059637069703, "step": 35300 }, { "epoch": 907.7012987012987, "grad_norm": 0.061051417142152786, "learning_rate": 1.2872976231154382e-06, "loss": 0.0037648078799247743, "step": 35400 }, { "epoch": 910.2597402597403, "grad_norm": 0.03717147558927536, "learning_rate": 1.2173716951186713e-06, "loss": 0.003802294433116913, "step": 35500 }, { "epoch": 910.2597402597403, "eval_exact_match_ratio": 0.09381799564827852, "eval_loss": 0.02224075049161911, "eval_macro_f1": 0.5538077232029822, "eval_macro_precision": 0.6862840426595412, "eval_macro_recall": 0.4740112712714454, "eval_macro_roc_auc": 0.9166632565114002, "eval_micro_f1": 0.6331097796399308, "eval_micro_precision": 0.7688594053903862, "eval_micro_recall": 0.5381025304455626, "eval_runtime": 102.5069, "eval_samples_per_second": 76.219, "eval_steps_per_second": 4.77, "step": 35500 }, { "epoch": 912.8311688311688, "grad_norm": 0.0466252900660038, "learning_rate": 1.1493509754076315e-06, "loss": 0.0038596293330192565, "step": 35600 }, { "epoch": 915.3896103896104, "grad_norm": 0.05678614601492882, "learning_rate": 1.0832409130705046e-06, "loss": 0.003809744119644165, "step": 35700 }, { "epoch": 917.961038961039, "grad_norm": 0.06241026520729065, "learning_rate": 1.019046804134155e-06, "loss": 0.004008056223392486, "step": 35800 }, { "epoch": 920.5194805194806, "grad_norm": 0.28280916810035706, "learning_rate": 9.567737911398811e-07, "loss": 0.0036841532588005065, "step": 35900 }, { "epoch": 923.077922077922, "grad_norm": 0.05519231781363487, "learning_rate": 8.964268627314476e-07, "loss": 0.0036885297298431398, "step": 36000 }, { "epoch": 923.077922077922, "eval_exact_match_ratio": 0.09177012671189044, "eval_loss": 0.02231145091354847, "eval_macro_f1": 0.5531246544748587, "eval_macro_precision": 0.6872579282528493, "eval_macro_recall": 0.4720735475811719, "eval_macro_roc_auc": 0.9165041953344719, "eval_micro_f1": 0.6320301635771938, "eval_micro_precision": 0.7703571678199482, "eval_micro_recall": 0.5358175940105496, "eval_runtime": 102.4404, "eval_samples_per_second": 76.269, "eval_steps_per_second": 4.774, "step": 36000 }, { "epoch": 925.6493506493506, "grad_norm": 0.10396624356508255, "learning_rate": 8.380108532554415e-07, "loss": 0.0036322930455207824, "step": 36100 }, { "epoch": 928.2077922077922, "grad_norm": 0.06927410513162613, "learning_rate": 7.815304423740039e-07, "loss": 0.003674095273017883, "step": 36200 }, { "epoch": 930.7792207792207, "grad_norm": 0.05493837594985962, "learning_rate": 7.269901546899382e-07, "loss": 0.003674429655075073, "step": 36300 }, { "epoch": 933.3376623376623, "grad_norm": 0.06781146675348282, "learning_rate": 6.743943593842616e-07, "loss": 0.0037695294618606567, "step": 36400 }, { "epoch": 935.9090909090909, "grad_norm": 0.06820249557495117, "learning_rate": 6.23747269866179e-07, "loss": 0.003663244545459747, "step": 36500 }, { "epoch": 935.9090909090909, "eval_exact_match_ratio": 0.09292205298860873, "eval_loss": 0.02243983931839466, "eval_macro_f1": 0.5548244723161484, "eval_macro_precision": 0.6842705622464772, "eval_macro_recall": 0.47528953157517456, "eval_macro_roc_auc": 0.9165889581029931, "eval_micro_f1": 0.6333647502356268, "eval_micro_precision": 0.7676809637553225, "eval_micro_recall": 0.5390505359877489, "eval_runtime": 102.4913, "eval_samples_per_second": 76.231, "eval_steps_per_second": 4.771, "step": 36500 }, { "epoch": 938.4675324675325, "grad_norm": 0.04225321114063263, "learning_rate": 5.7505294343555e-07, "loss": 0.0036578994989395143, "step": 36600 }, { "epoch": 941.025974025974, "grad_norm": 0.05938267707824707, "learning_rate": 5.283152809578751e-07, "loss": 0.0037998878955841065, "step": 36700 }, { "epoch": 943.5974025974026, "grad_norm": 0.07503011077642441, "learning_rate": 4.835380265517858e-07, "loss": 0.003644196391105652, "step": 36800 }, { "epoch": 946.1558441558442, "grad_norm": 0.06064372882246971, "learning_rate": 4.407247672891218e-07, "loss": 0.0037766295671463014, "step": 36900 }, { "epoch": 948.7272727272727, "grad_norm": 0.043074797838926315, "learning_rate": 3.998789329075492e-07, "loss": 0.003732178211212158, "step": 37000 }, { "epoch": 948.7272727272727, "eval_exact_match_ratio": 0.09317803660565724, "eval_loss": 0.02236187271773815, "eval_macro_f1": 0.5530787262984328, "eval_macro_precision": 0.6840495574925283, "eval_macro_recall": 0.4729763441113856, "eval_macro_roc_auc": 0.9165241503976501, "eval_micro_f1": 0.6327554418511584, "eval_micro_precision": 0.7678645761065631, "eval_micro_recall": 0.5380782226111476, "eval_runtime": 102.5085, "eval_samples_per_second": 76.218, "eval_steps_per_second": 4.77, "step": 37000 }, { "epoch": 951.2857142857143, "grad_norm": 0.056531645357608795, "learning_rate": 3.6100379553583306e-07, "loss": 0.0034473416209220885, "step": 37100 }, { "epoch": 953.8571428571429, "grad_norm": 0.09468604624271393, "learning_rate": 3.2410246943169464e-07, "loss": 0.0038387244939804077, "step": 37200 }, { "epoch": 956.4155844155844, "grad_norm": 0.046114273369312286, "learning_rate": 2.8917791073233557e-07, "loss": 0.00378182053565979, "step": 37300 }, { "epoch": 958.987012987013, "grad_norm": 0.04046035185456276, "learning_rate": 2.562329172176137e-07, "loss": 0.003562682569026947, "step": 37400 }, { "epoch": 961.5454545454545, "grad_norm": 0.09024065732955933, "learning_rate": 2.252701280859415e-07, "loss": 0.0037803184986114503, "step": 37500 }, { "epoch": 961.5454545454545, "eval_exact_match_ratio": 0.09279406118008447, "eval_loss": 0.02233230508863926, "eval_macro_f1": 0.5536486223383112, "eval_macro_precision": 0.6838886001732458, "eval_macro_recall": 0.4740626198061371, "eval_macro_roc_auc": 0.9164343709190207, "eval_micro_f1": 0.6332433474739684, "eval_micro_precision": 0.7677680798004988, "eval_micro_recall": 0.5388317654780136, "eval_runtime": 102.4487, "eval_samples_per_second": 76.263, "eval_steps_per_second": 4.773, "step": 37500 }, { "epoch": 964.1038961038961, "grad_norm": 0.035194531083106995, "learning_rate": 1.9629202374282786e-07, "loss": 0.003699219822883606, "step": 37600 }, { "epoch": 966.6753246753246, "grad_norm": 0.06676267832517624, "learning_rate": 1.693009256021949e-07, "loss": 0.0036105597019195556, "step": 37700 }, { "epoch": 969.2337662337662, "grad_norm": 0.05439554527401924, "learning_rate": 1.4429899590041317e-07, "loss": 0.0036472779512405394, "step": 37800 }, { "epoch": 971.8051948051948, "grad_norm": 0.062256623059511185, "learning_rate": 1.2128823752307893e-07, "loss": 0.0035172441601753236, "step": 37900 }, { "epoch": 974.3636363636364, "grad_norm": 0.05331027880311012, "learning_rate": 1.0027049384455923e-07, "loss": 0.003587372899055481, "step": 38000 }, { "epoch": 974.3636363636364, "eval_exact_match_ratio": 0.09266606937156022, "eval_loss": 0.022459441795945168, "eval_macro_f1": 0.5559551224668399, "eval_macro_precision": 0.6808657254529437, "eval_macro_recall": 0.47816630868888055, "eval_macro_roc_auc": 0.9165614485528388, "eval_micro_f1": 0.6343372808016398, "eval_micro_precision": 0.7652917539581687, "eval_micro_recall": 0.5416514742701573, "eval_runtime": 102.4988, "eval_samples_per_second": 76.225, "eval_steps_per_second": 4.771, "step": 38000 } ], "logging_steps": 100, "max_steps": 39000, "num_input_tokens_seen": 0, "num_train_epochs": 1000, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 1.1153453957029176e+18, "train_batch_size": 16, "trial_name": null, "trial_params": null }