| { | |
| "best_global_step": 22629, | |
| "best_metric": 0.7126982699264178, | |
| "best_model_checkpoint": "../output/checkpoint-22629", | |
| "epoch": 20.0, | |
| "eval_steps": 500, | |
| "global_step": 23820, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.41981528127623846, | |
| "grad_norm": 0.028375638648867607, | |
| "learning_rate": 1.9581024349286314e-05, | |
| "loss": 0.1387, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.8396305625524769, | |
| "grad_norm": 0.016328655183315277, | |
| "learning_rate": 1.9161209068010078e-05, | |
| "loss": 0.0525, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_Hamming Loss": 0.01128586278670676, | |
| "eval_loss": 0.04800482094287872, | |
| "eval_macro-F1": 0.0, | |
| "eval_micro-F1": 0.0, | |
| "eval_micro-Precision": 0.0, | |
| "eval_micro-ROC-AUC": 0.894420189398385, | |
| "eval_micro-Recall": 0.0, | |
| "eval_runtime": 56.2294, | |
| "eval_samples-Precision": 0.0, | |
| "eval_samples-ROC-AUC": 0.9075031413018584, | |
| "eval_samples-Recall": 0.0, | |
| "eval_samples_F1": 0.0, | |
| "eval_samples_per_second": 677.457, | |
| "eval_steps_per_second": 2.65, | |
| "eval_weighted-F1": 0.0, | |
| "eval_weighted-ROC-AUC": 0.6750014123328221, | |
| "step": 1191 | |
| }, | |
| { | |
| "epoch": 1.2594458438287153, | |
| "grad_norm": 0.022175736725330353, | |
| "learning_rate": 1.8741393786733838e-05, | |
| "loss": 0.0478, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.6792611251049538, | |
| "grad_norm": 0.019683972001075745, | |
| "learning_rate": 1.83215785054576e-05, | |
| "loss": 0.0413, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_Hamming Loss": 0.009107120094851965, | |
| "eval_loss": 0.0341496467590332, | |
| "eval_macro-F1": 0.03927605624721043, | |
| "eval_micro-F1": 0.3742492143481414, | |
| "eval_micro-Precision": 0.8333402343588258, | |
| "eval_micro-ROC-AUC": 0.95328941167146, | |
| "eval_micro-Recall": 0.2413102646187787, | |
| "eval_runtime": 56.4959, | |
| "eval_samples-Precision": 0.4733787485014745, | |
| "eval_samples-ROC-AUC": 0.9533603293317763, | |
| "eval_samples-Recall": 0.3310842278806518, | |
| "eval_samples_F1": 0.36697773688171714, | |
| "eval_samples_per_second": 674.262, | |
| "eval_steps_per_second": 2.637, | |
| "eval_weighted-F1": 0.28759108086329915, | |
| "eval_weighted-ROC-AUC": 0.9137363969306936, | |
| "step": 2382 | |
| }, | |
| { | |
| "epoch": 2.0990764063811924, | |
| "grad_norm": 0.021357489749789238, | |
| "learning_rate": 1.790176322418136e-05, | |
| "loss": 0.0359, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 2.5188916876574305, | |
| "grad_norm": 0.02431364730000496, | |
| "learning_rate": 1.7481947942905125e-05, | |
| "loss": 0.0322, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 2.938706968933669, | |
| "grad_norm": 0.026525776833295822, | |
| "learning_rate": 1.7062132661628885e-05, | |
| "loss": 0.0299, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_Hamming Loss": 0.008002254926291353, | |
| "eval_loss": 0.027838103473186493, | |
| "eval_macro-F1": 0.0850764115643415, | |
| "eval_micro-F1": 0.5156952508865176, | |
| "eval_micro-Precision": 0.8134818106655642, | |
| "eval_micro-ROC-AUC": 0.9701655203023096, | |
| "eval_micro-Recall": 0.37750440631631954, | |
| "eval_runtime": 56.3401, | |
| "eval_samples-Precision": 0.6690008663008952, | |
| "eval_samples-ROC-AUC": 0.9693675900344925, | |
| "eval_samples-Recall": 0.4936407116876433, | |
| "eval_samples_F1": 0.5398431979370828, | |
| "eval_samples_per_second": 676.126, | |
| "eval_steps_per_second": 2.645, | |
| "eval_weighted-F1": 0.4436933206273856, | |
| "eval_weighted-ROC-AUC": 0.9440048360290951, | |
| "step": 3573 | |
| }, | |
| { | |
| "epoch": 3.3585222502099077, | |
| "grad_norm": 0.029091596603393555, | |
| "learning_rate": 1.6642317380352645e-05, | |
| "loss": 0.0276, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 3.7783375314861463, | |
| "grad_norm": 0.031437281519174576, | |
| "learning_rate": 1.622250209907641e-05, | |
| "loss": 0.0263, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_Hamming Loss": 0.007530945020339533, | |
| "eval_loss": 0.024892881512641907, | |
| "eval_macro-F1": 0.12433102464637438, | |
| "eval_micro-F1": 0.5772899893665502, | |
| "eval_micro-Precision": 0.7875126924591251, | |
| "eval_micro-ROC-AUC": 0.9778129934458253, | |
| "eval_micro-Recall": 0.4556550723595075, | |
| "eval_runtime": 57.5998, | |
| "eval_samples-Precision": 0.7262085397517104, | |
| "eval_samples-ROC-AUC": 0.9769735188597375, | |
| "eval_samples-Recall": 0.5706880912223564, | |
| "eval_samples_F1": 0.6109341836523597, | |
| "eval_samples_per_second": 661.339, | |
| "eval_steps_per_second": 2.587, | |
| "eval_weighted-F1": 0.5154308844020796, | |
| "eval_weighted-ROC-AUC": 0.9549957691180601, | |
| "step": 4764 | |
| }, | |
| { | |
| "epoch": 4.198152812762385, | |
| "grad_norm": 0.03555045649409294, | |
| "learning_rate": 1.580268681780017e-05, | |
| "loss": 0.025, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 4.617968094038623, | |
| "grad_norm": 0.03600688651204109, | |
| "learning_rate": 1.5382871536523932e-05, | |
| "loss": 0.0238, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_Hamming Loss": 0.0072420427380520975, | |
| "eval_loss": 0.023193439468741417, | |
| "eval_macro-F1": 0.16691609522798895, | |
| "eval_micro-F1": 0.6110000654160095, | |
| "eval_micro-Precision": 0.7757946029753775, | |
| "eval_micro-ROC-AUC": 0.9815662800440879, | |
| "eval_micro-Recall": 0.5039506972171265, | |
| "eval_runtime": 57.0641, | |
| "eval_samples-Precision": 0.7495485359764886, | |
| "eval_samples-ROC-AUC": 0.9811746136558583, | |
| "eval_samples-Recall": 0.6128593646762802, | |
| "eval_samples_F1": 0.6466909749113342, | |
| "eval_samples_per_second": 667.548, | |
| "eval_steps_per_second": 2.611, | |
| "eval_weighted-F1": 0.5637611718614859, | |
| "eval_weighted-ROC-AUC": 0.9602035986169475, | |
| "step": 5955 | |
| }, | |
| { | |
| "epoch": 5.037783375314861, | |
| "grad_norm": 0.030450329184532166, | |
| "learning_rate": 1.4963056255247692e-05, | |
| "loss": 0.0232, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 5.4575986565911, | |
| "grad_norm": 0.03672802075743675, | |
| "learning_rate": 1.4543240973971454e-05, | |
| "loss": 0.022, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 5.877413937867338, | |
| "grad_norm": 0.038189828395843506, | |
| "learning_rate": 1.4123425692695216e-05, | |
| "loss": 0.0216, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_Hamming Loss": 0.007131894514266631, | |
| "eval_loss": 0.022080443799495697, | |
| "eval_macro-F1": 0.1847520859923191, | |
| "eval_micro-F1": 0.6218258267739135, | |
| "eval_micro-Precision": 0.7742655993138446, | |
| "eval_micro-ROC-AUC": 0.9836965904784507, | |
| "eval_micro-Recall": 0.519537666510797, | |
| "eval_runtime": 56.5357, | |
| "eval_samples-Precision": 0.7550899031984796, | |
| "eval_samples-ROC-AUC": 0.9835234555861406, | |
| "eval_samples-Recall": 0.6243584834313252, | |
| "eval_samples_F1": 0.6567380367195391, | |
| "eval_samples_per_second": 673.787, | |
| "eval_steps_per_second": 2.636, | |
| "eval_weighted-F1": 0.5796689384762133, | |
| "eval_weighted-ROC-AUC": 0.9631894848329642, | |
| "step": 7146 | |
| }, | |
| { | |
| "epoch": 6.297229219143577, | |
| "grad_norm": 0.041865091770887375, | |
| "learning_rate": 1.3703610411418977e-05, | |
| "loss": 0.0208, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 6.717044500419815, | |
| "grad_norm": 0.036912206560373306, | |
| "learning_rate": 1.3283795130142737e-05, | |
| "loss": 0.0204, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_Hamming Loss": 0.006943126980875075, | |
| "eval_loss": 0.021343262866139412, | |
| "eval_macro-F1": 0.21623803173319953, | |
| "eval_micro-F1": 0.64556105109005, | |
| "eval_micro-Precision": 0.7615097537523834, | |
| "eval_micro-ROC-AUC": 0.9852894966170272, | |
| "eval_micro-Recall": 0.5602556262964162, | |
| "eval_runtime": 56.5298, | |
| "eval_samples-Precision": 0.7660912057750061, | |
| "eval_samples-ROC-AUC": 0.9854023086128085, | |
| "eval_samples-Recall": 0.6604805442421895, | |
| "eval_samples_F1": 0.6840440071687744, | |
| "eval_samples_per_second": 673.857, | |
| "eval_steps_per_second": 2.636, | |
| "eval_weighted-F1": 0.6097152841377028, | |
| "eval_weighted-ROC-AUC": 0.9655545290298909, | |
| "step": 8337 | |
| }, | |
| { | |
| "epoch": 7.136859781696054, | |
| "grad_norm": 0.0445188544690609, | |
| "learning_rate": 1.28639798488665e-05, | |
| "loss": 0.02, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 7.5566750629722925, | |
| "grad_norm": 0.0462997630238533, | |
| "learning_rate": 1.2444164567590263e-05, | |
| "loss": 0.0192, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 7.97649034424853, | |
| "grad_norm": 0.04490142688155174, | |
| "learning_rate": 1.2024349286314023e-05, | |
| "loss": 0.0193, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_Hamming Loss": 0.006875333049528, | |
| "eval_loss": 0.020876074209809303, | |
| "eval_macro-F1": 0.2250253559054493, | |
| "eval_micro-F1": 0.6473776624169784, | |
| "eval_micro-Precision": 0.7685462874468576, | |
| "eval_micro-ROC-AUC": 0.986105483089175, | |
| "eval_micro-Recall": 0.5592124983513782, | |
| "eval_runtime": 56.4221, | |
| "eval_samples-Precision": 0.7713289197407014, | |
| "eval_samples-ROC-AUC": 0.9862885403293905, | |
| "eval_samples-Recall": 0.6614123512440093, | |
| "eval_samples_F1": 0.6862704472864863, | |
| "eval_samples_per_second": 675.143, | |
| "eval_steps_per_second": 2.641, | |
| "eval_weighted-F1": 0.614858261261732, | |
| "eval_weighted-ROC-AUC": 0.9667338002054853, | |
| "step": 9528 | |
| }, | |
| { | |
| "epoch": 8.39630562552477, | |
| "grad_norm": 0.0457521490752697, | |
| "learning_rate": 1.1604534005037784e-05, | |
| "loss": 0.0184, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 8.816120906801007, | |
| "grad_norm": 0.044266458600759506, | |
| "learning_rate": 1.1184718723761545e-05, | |
| "loss": 0.0183, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_Hamming Loss": 0.006861936643932471, | |
| "eval_loss": 0.020720839500427246, | |
| "eval_macro-F1": 0.2427473530774573, | |
| "eval_micro-F1": 0.6579472789574509, | |
| "eval_micro-Precision": 0.7520701938349088, | |
| "eval_micro-ROC-AUC": 0.9866980845480343, | |
| "eval_micro-Recall": 0.5847631380166181, | |
| "eval_runtime": 56.8787, | |
| "eval_samples-Precision": 0.767462494671562, | |
| "eval_samples-ROC-AUC": 0.9869244929437454, | |
| "eval_samples-Recall": 0.6802752681053619, | |
| "eval_samples_F1": 0.6963376282148493, | |
| "eval_samples_per_second": 669.723, | |
| "eval_steps_per_second": 2.62, | |
| "eval_weighted-F1": 0.6282531162024942, | |
| "eval_weighted-ROC-AUC": 0.967585319293872, | |
| "step": 10719 | |
| }, | |
| { | |
| "epoch": 9.235936188077247, | |
| "grad_norm": 0.045110948383808136, | |
| "learning_rate": 1.0764903442485308e-05, | |
| "loss": 0.0179, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 9.655751469353484, | |
| "grad_norm": 0.047784559428691864, | |
| "learning_rate": 1.034508816120907e-05, | |
| "loss": 0.0176, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_Hamming Loss": 0.006811598635028056, | |
| "eval_loss": 0.020576098933815956, | |
| "eval_macro-F1": 0.2500687036894995, | |
| "eval_micro-F1": 0.658813322669414, | |
| "eval_micro-Precision": 0.7577765650580807, | |
| "eval_micro-ROC-AUC": 0.9868861197392078, | |
| "eval_micro-Recall": 0.5827128520556815, | |
| "eval_runtime": 56.8276, | |
| "eval_samples-Precision": 0.7700463756412356, | |
| "eval_samples-ROC-AUC": 0.9873274265352923, | |
| "eval_samples-Recall": 0.677322176316279, | |
| "eval_samples_F1": 0.696440018353974, | |
| "eval_samples_per_second": 670.325, | |
| "eval_steps_per_second": 2.622, | |
| "eval_weighted-F1": 0.6286963446756773, | |
| "eval_weighted-ROC-AUC": 0.9675386582556953, | |
| "step": 11910 | |
| }, | |
| { | |
| "epoch": 10.075566750629722, | |
| "grad_norm": 0.054966043680906296, | |
| "learning_rate": 9.92527287993283e-06, | |
| "loss": 0.0174, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 10.495382031905962, | |
| "grad_norm": 0.05237603560090065, | |
| "learning_rate": 9.505457598656592e-06, | |
| "loss": 0.0168, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 10.9151973131822, | |
| "grad_norm": 0.05216987058520317, | |
| "learning_rate": 9.085642317380353e-06, | |
| "loss": 0.0169, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_Hamming Loss": 0.006823777185569446, | |
| "eval_loss": 0.020509161055088043, | |
| "eval_macro-F1": 0.26200424662299254, | |
| "eval_micro-F1": 0.6628468275723741, | |
| "eval_micro-Precision": 0.7491801048861215, | |
| "eval_micro-ROC-AUC": 0.9871619338418166, | |
| "eval_micro-Recall": 0.5943551191204154, | |
| "eval_runtime": 56.922, | |
| "eval_samples-Precision": 0.7695165679998852, | |
| "eval_samples-ROC-AUC": 0.9875443461940913, | |
| "eval_samples-Recall": 0.6863968374135058, | |
| "eval_samples_F1": 0.70167593015519, | |
| "eval_samples_per_second": 669.214, | |
| "eval_steps_per_second": 2.618, | |
| "eval_weighted-F1": 0.6349789993502296, | |
| "eval_weighted-ROC-AUC": 0.9679648550158526, | |
| "step": 13101 | |
| }, | |
| { | |
| "epoch": 11.335012594458439, | |
| "grad_norm": 0.05352295935153961, | |
| "learning_rate": 8.665827036104115e-06, | |
| "loss": 0.0164, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 11.754827875734676, | |
| "grad_norm": 0.0528065450489521, | |
| "learning_rate": 8.246011754827877e-06, | |
| "loss": 0.0162, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_Hamming Loss": 0.006750841199549339, | |
| "eval_loss": 0.02036031149327755, | |
| "eval_macro-F1": 0.265561098619209, | |
| "eval_micro-F1": 0.6638230200605117, | |
| "eval_micro-Precision": 0.7578079325517708, | |
| "eval_micro-ROC-AUC": 0.9873305369247557, | |
| "eval_micro-Recall": 0.5905782765607952, | |
| "eval_runtime": 56.6104, | |
| "eval_samples-Precision": 0.7715894350459755, | |
| "eval_samples-ROC-AUC": 0.9878245117062334, | |
| "eval_samples-Recall": 0.6835733060735801, | |
| "eval_samples_F1": 0.7007100494384872, | |
| "eval_samples_per_second": 672.898, | |
| "eval_steps_per_second": 2.632, | |
| "eval_weighted-F1": 0.6369107935631289, | |
| "eval_weighted-ROC-AUC": 0.9682565361809532, | |
| "step": 14292 | |
| }, | |
| { | |
| "epoch": 12.174643157010916, | |
| "grad_norm": 0.05650531128048897, | |
| "learning_rate": 7.826196473551639e-06, | |
| "loss": 0.016, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 12.594458438287154, | |
| "grad_norm": 0.0515579879283905, | |
| "learning_rate": 7.407220822837951e-06, | |
| "loss": 0.0157, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_Hamming Loss": 0.006759230867700076, | |
| "eval_loss": 0.020438507199287415, | |
| "eval_macro-F1": 0.27797168493479635, | |
| "eval_micro-F1": 0.6675363572831042, | |
| "eval_micro-Precision": 0.7502318901289609, | |
| "eval_micro-ROC-AUC": 0.9872694884494536, | |
| "eval_micro-Recall": 0.6012613455151493, | |
| "eval_runtime": 57.4109, | |
| "eval_samples-Precision": 0.7702766543216233, | |
| "eval_samples-ROC-AUC": 0.9878260312181315, | |
| "eval_samples-Recall": 0.6914046486678713, | |
| "eval_samples_F1": 0.7051631413757338, | |
| "eval_samples_per_second": 663.515, | |
| "eval_steps_per_second": 2.595, | |
| "eval_weighted-F1": 0.6422683921775024, | |
| "eval_weighted-ROC-AUC": 0.9680052742102324, | |
| "step": 15483 | |
| }, | |
| { | |
| "epoch": 13.014273719563391, | |
| "grad_norm": 0.053546659648418427, | |
| "learning_rate": 6.987405541561714e-06, | |
| "loss": 0.0158, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 13.43408900083963, | |
| "grad_norm": 0.07182997465133667, | |
| "learning_rate": 6.567590260285475e-06, | |
| "loss": 0.0152, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 13.853904282115868, | |
| "grad_norm": 0.06407944113016129, | |
| "learning_rate": 6.147774979009237e-06, | |
| "loss": 0.0153, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_Hamming Loss": 0.00676301975009073, | |
| "eval_loss": 0.020446496084332466, | |
| "eval_macro-F1": 0.28564157254020134, | |
| "eval_micro-F1": 0.6716854213060587, | |
| "eval_micro-Precision": 0.7428152151803098, | |
| "eval_micro-ROC-AUC": 0.9873961174551684, | |
| "eval_micro-Recall": 0.6129875424145415, | |
| "eval_runtime": 56.9561, | |
| "eval_samples-Precision": 0.769045098066178, | |
| "eval_samples-ROC-AUC": 0.9878886845834632, | |
| "eval_samples-Recall": 0.7013103269260028, | |
| "eval_samples_F1": 0.7106548871148202, | |
| "eval_samples_per_second": 668.814, | |
| "eval_steps_per_second": 2.616, | |
| "eval_weighted-F1": 0.6488405029590205, | |
| "eval_weighted-ROC-AUC": 0.9681342377692144, | |
| "step": 16674 | |
| }, | |
| { | |
| "epoch": 14.273719563392108, | |
| "grad_norm": 0.06374882906675339, | |
| "learning_rate": 5.727959697732998e-06, | |
| "loss": 0.015, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 14.693534844668346, | |
| "grad_norm": 0.05428186058998108, | |
| "learning_rate": 5.308144416456759e-06, | |
| "loss": 0.0148, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_Hamming Loss": 0.006737038842269096, | |
| "eval_loss": 0.020485879853367805, | |
| "eval_macro-F1": 0.2903380825378071, | |
| "eval_micro-F1": 0.6732943546534901, | |
| "eval_micro-Precision": 0.7436365744767206, | |
| "eval_micro-ROC-AUC": 0.9873218978561575, | |
| "eval_micro-Recall": 0.6151097682337566, | |
| "eval_runtime": 57.4469, | |
| "eval_samples-Precision": 0.7693417878451875, | |
| "eval_samples-ROC-AUC": 0.9879143861488975, | |
| "eval_samples-Recall": 0.7036283765729578, | |
| "eval_samples_F1": 0.7118673049549253, | |
| "eval_samples_per_second": 663.099, | |
| "eval_steps_per_second": 2.594, | |
| "eval_weighted-F1": 0.650088931259366, | |
| "eval_weighted-ROC-AUC": 0.968105545390811, | |
| "step": 17865 | |
| }, | |
| { | |
| "epoch": 15.113350125944585, | |
| "grad_norm": 0.062481027096509933, | |
| "learning_rate": 4.888329135180521e-06, | |
| "loss": 0.0147, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 15.533165407220823, | |
| "grad_norm": 0.06039604917168617, | |
| "learning_rate": 4.468513853904283e-06, | |
| "loss": 0.0145, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 15.95298068849706, | |
| "grad_norm": 0.07048299908638, | |
| "learning_rate": 4.0495382031905965e-06, | |
| "loss": 0.0145, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_Hamming Loss": 0.006746240413789259, | |
| "eval_loss": 0.020490169525146484, | |
| "eval_macro-F1": 0.2914569617906651, | |
| "eval_micro-F1": 0.672792307944738, | |
| "eval_micro-Precision": 0.7432354050056553, | |
| "eval_micro-ROC-AUC": 0.9873475904073974, | |
| "eval_micro-Recall": 0.6145462393439085, | |
| "eval_runtime": 56.6829, | |
| "eval_samples-Precision": 0.7698330401911111, | |
| "eval_samples-ROC-AUC": 0.9879202729867449, | |
| "eval_samples-Recall": 0.7029155752261821, | |
| "eval_samples_F1": 0.7116816735252254, | |
| "eval_samples_per_second": 672.037, | |
| "eval_steps_per_second": 2.629, | |
| "eval_weighted-F1": 0.65027977195525, | |
| "eval_weighted-ROC-AUC": 0.9680130603724392, | |
| "step": 19056 | |
| }, | |
| { | |
| "epoch": 16.3727959697733, | |
| "grad_norm": 0.05856049060821533, | |
| "learning_rate": 3.6297229219143583e-06, | |
| "loss": 0.0142, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 16.79261125104954, | |
| "grad_norm": 0.059780750423669815, | |
| "learning_rate": 3.2099076406381196e-06, | |
| "loss": 0.0142, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_Hamming Loss": 0.006711193251675701, | |
| "eval_loss": 0.020483586937189102, | |
| "eval_macro-F1": 0.28941686346175016, | |
| "eval_micro-F1": 0.6717279358229306, | |
| "eval_micro-Precision": 0.7497598959795505, | |
| "eval_micro-ROC-AUC": 0.9873218576917725, | |
| "eval_micro-Recall": 0.6084073714374783, | |
| "eval_runtime": 57.2121, | |
| "eval_samples-Precision": 0.7701005038212662, | |
| "eval_samples-ROC-AUC": 0.9878985418085805, | |
| "eval_samples-Recall": 0.6967815659603637, | |
| "eval_samples_F1": 0.7080840509321433, | |
| "eval_samples_per_second": 665.821, | |
| "eval_steps_per_second": 2.604, | |
| "eval_weighted-F1": 0.6485769518381072, | |
| "eval_weighted-ROC-AUC": 0.9679402457458093, | |
| "step": 20247 | |
| }, | |
| { | |
| "epoch": 17.212426532325775, | |
| "grad_norm": 0.055906716734170914, | |
| "learning_rate": 2.790092359361881e-06, | |
| "loss": 0.014, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 17.632241813602015, | |
| "grad_norm": 0.0654979944229126, | |
| "learning_rate": 2.3702770780856423e-06, | |
| "loss": 0.014, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_Hamming Loss": 0.006715658720207544, | |
| "eval_loss": 0.020548846572637558, | |
| "eval_macro-F1": 0.29578964881588043, | |
| "eval_micro-F1": 0.6735771742776524, | |
| "eval_micro-Precision": 0.7460370650970336, | |
| "eval_micro-ROC-AUC": 0.9872232935911024, | |
| "eval_micro-Recall": 0.6139467405249212, | |
| "eval_runtime": 56.7384, | |
| "eval_samples-Precision": 0.7704018084547316, | |
| "eval_samples-ROC-AUC": 0.9878310051497012, | |
| "eval_samples-Recall": 0.7018452283252362, | |
| "eval_samples_F1": 0.7113833671548305, | |
| "eval_samples_per_second": 671.38, | |
| "eval_steps_per_second": 2.626, | |
| "eval_weighted-F1": 0.6511503106110951, | |
| "eval_weighted-ROC-AUC": 0.9678236309782818, | |
| "step": 21438 | |
| }, | |
| { | |
| "epoch": 18.052057094878254, | |
| "grad_norm": 0.06082635000348091, | |
| "learning_rate": 1.950461796809404e-06, | |
| "loss": 0.0138, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 18.471872376154494, | |
| "grad_norm": 0.0555616095662117, | |
| "learning_rate": 1.5306465155331654e-06, | |
| "loss": 0.0137, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 18.89168765743073, | |
| "grad_norm": 0.05737029016017914, | |
| "learning_rate": 1.1116708648194795e-06, | |
| "loss": 0.0137, | |
| "step": 22500 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_Hamming Loss": 0.006720665457652338, | |
| "eval_loss": 0.02056426741182804, | |
| "eval_macro-F1": 0.2955852120530338, | |
| "eval_micro-F1": 0.6742999540953505, | |
| "eval_micro-Precision": 0.7441631565996497, | |
| "eval_micro-ROC-AUC": 0.9872403324248038, | |
| "eval_micro-Recall": 0.6164286656355287, | |
| "eval_runtime": 56.7074, | |
| "eval_samples-Precision": 0.7709621898619877, | |
| "eval_samples-ROC-AUC": 0.9878666504914567, | |
| "eval_samples-Recall": 0.7039134950136432, | |
| "eval_samples_F1": 0.7126982699264178, | |
| "eval_samples_per_second": 671.747, | |
| "eval_steps_per_second": 2.628, | |
| "eval_weighted-F1": 0.6516401231059971, | |
| "eval_weighted-ROC-AUC": 0.9678204645643085, | |
| "step": 22629 | |
| }, | |
| { | |
| "epoch": 19.31150293870697, | |
| "grad_norm": 0.06911616027355194, | |
| "learning_rate": 6.91855583543241e-07, | |
| "loss": 0.0136, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 19.73131821998321, | |
| "grad_norm": 0.0590774230659008, | |
| "learning_rate": 2.7204030226700255e-07, | |
| "loss": 0.0137, | |
| "step": 23500 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_Hamming Loss": 0.006729596394716025, | |
| "eval_loss": 0.02057667076587677, | |
| "eval_macro-F1": 0.29651580072093586, | |
| "eval_micro-F1": 0.6740253270758502, | |
| "eval_micro-Precision": 0.7434247625106635, | |
| "eval_micro-ROC-AUC": 0.9872140373684055, | |
| "eval_micro-Recall": 0.6164766255410477, | |
| "eval_runtime": 56.6316, | |
| "eval_samples-Precision": 0.7701395534639176, | |
| "eval_samples-ROC-AUC": 0.9878538452217698, | |
| "eval_samples-Recall": 0.70390428453663, | |
| "eval_samples_F1": 0.7124879028701201, | |
| "eval_samples_per_second": 672.646, | |
| "eval_steps_per_second": 2.631, | |
| "eval_weighted-F1": 0.6519540409689584, | |
| "eval_weighted-ROC-AUC": 0.9677342040265031, | |
| "step": 23820 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 23820, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 20, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.6063684357289165e+18, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |