| { | |
| "best_global_step": 5300, | |
| "best_metric": 0.846949212010463, | |
| "best_model_checkpoint": "./camelbert-ner-author/checkpoint-5300", | |
| "epoch": 4.0, | |
| "eval_steps": 100, | |
| "global_step": 8236, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.04856726566294318, | |
| "grad_norm": 13.77788257598877, | |
| "learning_rate": 1.9759592034968435e-05, | |
| "loss": 2.5655, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.04856726566294318, | |
| "eval_accuracy": 0.4197738753909069, | |
| "eval_f1_macro": 0.3205328980120634, | |
| "eval_f1_micro": 0.4197738753909069, | |
| "eval_loss": 2.164029121398926, | |
| "eval_precision_macro": 0.42432855880852344, | |
| "eval_precision_micro": 0.4197738753909069, | |
| "eval_recall_macro": 0.39236584110181216, | |
| "eval_recall_micro": 0.4197738753909069, | |
| "eval_runtime": 77.4428, | |
| "eval_samples_per_second": 53.678, | |
| "eval_steps_per_second": 3.357, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.09713453132588636, | |
| "grad_norm": 11.284036636352539, | |
| "learning_rate": 1.9516755706653716e-05, | |
| "loss": 1.7809, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.09713453132588636, | |
| "eval_accuracy": 0.5876834255472697, | |
| "eval_f1_macro": 0.5021998875928434, | |
| "eval_f1_micro": 0.5876834255472697, | |
| "eval_loss": 1.547103762626648, | |
| "eval_precision_macro": 0.5640550767871323, | |
| "eval_precision_micro": 0.5876834255472697, | |
| "eval_recall_macro": 0.5447230363092859, | |
| "eval_recall_micro": 0.5876834255472697, | |
| "eval_runtime": 77.3875, | |
| "eval_samples_per_second": 53.717, | |
| "eval_steps_per_second": 3.36, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.14570179698882954, | |
| "grad_norm": 15.53082275390625, | |
| "learning_rate": 1.9273919378339e-05, | |
| "loss": 1.2903, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.14570179698882954, | |
| "eval_accuracy": 0.6300216502285302, | |
| "eval_f1_macro": 0.5639062324413268, | |
| "eval_f1_micro": 0.6300216502285302, | |
| "eval_loss": 1.3453640937805176, | |
| "eval_precision_macro": 0.5883696452747289, | |
| "eval_precision_micro": 0.6300216502285302, | |
| "eval_recall_macro": 0.6245065052027649, | |
| "eval_recall_micro": 0.6300216502285302, | |
| "eval_runtime": 77.7169, | |
| "eval_samples_per_second": 53.489, | |
| "eval_steps_per_second": 3.345, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.1942690626517727, | |
| "grad_norm": 12.855542182922363, | |
| "learning_rate": 1.9031083050024287e-05, | |
| "loss": 1.0303, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.1942690626517727, | |
| "eval_accuracy": 0.6980995910512389, | |
| "eval_f1_macro": 0.621757249063289, | |
| "eval_f1_micro": 0.6980995910512389, | |
| "eval_loss": 1.0540422201156616, | |
| "eval_precision_macro": 0.6363865097952114, | |
| "eval_precision_micro": 0.6980995910512389, | |
| "eval_recall_macro": 0.6615766427269236, | |
| "eval_recall_micro": 0.6980995910512389, | |
| "eval_runtime": 78.209, | |
| "eval_samples_per_second": 53.152, | |
| "eval_steps_per_second": 3.324, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.24283632831471588, | |
| "grad_norm": 13.974908828735352, | |
| "learning_rate": 1.8788246721709567e-05, | |
| "loss": 0.7461, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.24283632831471588, | |
| "eval_accuracy": 0.697618474861679, | |
| "eval_f1_macro": 0.6189270686060082, | |
| "eval_f1_micro": 0.697618474861679, | |
| "eval_loss": 1.0767923593521118, | |
| "eval_precision_macro": 0.6453274802012455, | |
| "eval_precision_micro": 0.697618474861679, | |
| "eval_recall_macro": 0.6631935550298835, | |
| "eval_recall_micro": 0.697618474861679, | |
| "eval_runtime": 77.7991, | |
| "eval_samples_per_second": 53.433, | |
| "eval_steps_per_second": 3.342, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.2914035939776591, | |
| "grad_norm": 15.981602668762207, | |
| "learning_rate": 1.8545410393394855e-05, | |
| "loss": 0.7715, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.2914035939776591, | |
| "eval_accuracy": 0.6793360596584075, | |
| "eval_f1_macro": 0.6412879956515993, | |
| "eval_f1_micro": 0.6793360596584075, | |
| "eval_loss": 1.0772430896759033, | |
| "eval_precision_macro": 0.6604751299557832, | |
| "eval_precision_micro": 0.6793360596584075, | |
| "eval_recall_macro": 0.6882200466749144, | |
| "eval_recall_micro": 0.6793360596584075, | |
| "eval_runtime": 78.3813, | |
| "eval_samples_per_second": 53.036, | |
| "eval_steps_per_second": 3.317, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.33997085964060225, | |
| "grad_norm": 15.210453033447266, | |
| "learning_rate": 1.8302574065080135e-05, | |
| "loss": 0.5764, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.33997085964060225, | |
| "eval_accuracy": 0.7346644214577821, | |
| "eval_f1_macro": 0.6644040766448638, | |
| "eval_f1_micro": 0.7346644214577821, | |
| "eval_loss": 0.9163544178009033, | |
| "eval_precision_macro": 0.6814907504685033, | |
| "eval_precision_micro": 0.7346644214577821, | |
| "eval_recall_macro": 0.7012321944408646, | |
| "eval_recall_micro": 0.7346644214577821, | |
| "eval_runtime": 77.9074, | |
| "eval_samples_per_second": 53.358, | |
| "eval_steps_per_second": 3.337, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.3885381253035454, | |
| "grad_norm": 33.91225051879883, | |
| "learning_rate": 1.8059737736765423e-05, | |
| "loss": 0.5638, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.3885381253035454, | |
| "eval_accuracy": 0.7474140004811162, | |
| "eval_f1_macro": 0.6913277390868877, | |
| "eval_f1_micro": 0.7474140004811162, | |
| "eval_loss": 0.889366090297699, | |
| "eval_precision_macro": 0.7266313115490612, | |
| "eval_precision_micro": 0.7474140004811162, | |
| "eval_recall_macro": 0.715908295360388, | |
| "eval_recall_micro": 0.7474140004811162, | |
| "eval_runtime": 78.3481, | |
| "eval_samples_per_second": 53.058, | |
| "eval_steps_per_second": 3.319, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.4371053909664886, | |
| "grad_norm": 8.672567367553711, | |
| "learning_rate": 1.7816901408450707e-05, | |
| "loss": 0.5197, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.4371053909664886, | |
| "eval_accuracy": 0.7926389222997354, | |
| "eval_f1_macro": 0.7247243935175413, | |
| "eval_f1_micro": 0.7926389222997354, | |
| "eval_loss": 0.7225074768066406, | |
| "eval_precision_macro": 0.7255052815535598, | |
| "eval_precision_micro": 0.7926389222997354, | |
| "eval_recall_macro": 0.7576197995601733, | |
| "eval_recall_micro": 0.7926389222997354, | |
| "eval_runtime": 78.3587, | |
| "eval_samples_per_second": 53.051, | |
| "eval_steps_per_second": 3.318, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.48567265662943176, | |
| "grad_norm": 5.37787389755249, | |
| "learning_rate": 1.757406508013599e-05, | |
| "loss": 0.4454, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.48567265662943176, | |
| "eval_accuracy": 0.7611258118835699, | |
| "eval_f1_macro": 0.6918902246005824, | |
| "eval_f1_micro": 0.7611258118835699, | |
| "eval_loss": 0.8200820684432983, | |
| "eval_precision_macro": 0.7248507826718404, | |
| "eval_precision_micro": 0.7611258118835699, | |
| "eval_recall_macro": 0.7240661179940105, | |
| "eval_recall_micro": 0.7611258118835699, | |
| "eval_runtime": 77.9125, | |
| "eval_samples_per_second": 53.355, | |
| "eval_steps_per_second": 3.337, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.5342399222923749, | |
| "grad_norm": 50.15217971801758, | |
| "learning_rate": 1.7331228751821275e-05, | |
| "loss": 0.3573, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.5342399222923749, | |
| "eval_accuracy": 0.7486167909550157, | |
| "eval_f1_macro": 0.708488926204985, | |
| "eval_f1_micro": 0.7486167909550158, | |
| "eval_loss": 0.840596616268158, | |
| "eval_precision_macro": 0.7458516807418488, | |
| "eval_precision_micro": 0.7486167909550157, | |
| "eval_recall_macro": 0.7355897302661839, | |
| "eval_recall_micro": 0.7486167909550157, | |
| "eval_runtime": 77.9539, | |
| "eval_samples_per_second": 53.326, | |
| "eval_steps_per_second": 3.335, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.5828071879553182, | |
| "grad_norm": 4.126067161560059, | |
| "learning_rate": 1.708839242350656e-05, | |
| "loss": 0.3992, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.5828071879553182, | |
| "eval_accuracy": 0.7969689680057734, | |
| "eval_f1_macro": 0.7545628662653078, | |
| "eval_f1_micro": 0.7969689680057734, | |
| "eval_loss": 0.7257721424102783, | |
| "eval_precision_macro": 0.7815422636293521, | |
| "eval_precision_micro": 0.7969689680057734, | |
| "eval_recall_macro": 0.76812907504405, | |
| "eval_recall_micro": 0.7969689680057734, | |
| "eval_runtime": 78.4205, | |
| "eval_samples_per_second": 53.009, | |
| "eval_steps_per_second": 3.315, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.6313744536182613, | |
| "grad_norm": 9.667169570922852, | |
| "learning_rate": 1.6845556095191843e-05, | |
| "loss": 0.3637, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.6313744536182613, | |
| "eval_accuracy": 0.8181380803464037, | |
| "eval_f1_macro": 0.7552426483349393, | |
| "eval_f1_micro": 0.8181380803464037, | |
| "eval_loss": 0.6487129330635071, | |
| "eval_precision_macro": 0.770444338655661, | |
| "eval_precision_micro": 0.8181380803464037, | |
| "eval_recall_macro": 0.7814605757463501, | |
| "eval_recall_micro": 0.8181380803464037, | |
| "eval_runtime": 77.6598, | |
| "eval_samples_per_second": 53.528, | |
| "eval_steps_per_second": 3.348, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.6799417192812045, | |
| "grad_norm": 15.598691940307617, | |
| "learning_rate": 1.6602719766877127e-05, | |
| "loss": 0.3534, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.6799417192812045, | |
| "eval_accuracy": 0.8320904498436372, | |
| "eval_f1_macro": 0.7756514292421667, | |
| "eval_f1_micro": 0.8320904498436372, | |
| "eval_loss": 0.6163076162338257, | |
| "eval_precision_macro": 0.776765552199579, | |
| "eval_precision_micro": 0.8320904498436372, | |
| "eval_recall_macro": 0.807685789299095, | |
| "eval_recall_micro": 0.8320904498436372, | |
| "eval_runtime": 78.0973, | |
| "eval_samples_per_second": 53.228, | |
| "eval_steps_per_second": 3.329, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.7285089849441476, | |
| "grad_norm": 16.200693130493164, | |
| "learning_rate": 1.635988343856241e-05, | |
| "loss": 0.2738, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.7285089849441476, | |
| "eval_accuracy": 0.8330526822227567, | |
| "eval_f1_macro": 0.7657709635036466, | |
| "eval_f1_micro": 0.8330526822227567, | |
| "eval_loss": 0.5991656184196472, | |
| "eval_precision_macro": 0.7896026550833485, | |
| "eval_precision_micro": 0.8330526822227567, | |
| "eval_recall_macro": 0.7825126366614965, | |
| "eval_recall_micro": 0.8330526822227567, | |
| "eval_runtime": 78.1674, | |
| "eval_samples_per_second": 53.181, | |
| "eval_steps_per_second": 3.326, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.7770762506070908, | |
| "grad_norm": 22.443140029907227, | |
| "learning_rate": 1.6117047110247694e-05, | |
| "loss": 0.2976, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.7770762506070908, | |
| "eval_accuracy": 0.8277604041375992, | |
| "eval_f1_macro": 0.7434375371463181, | |
| "eval_f1_micro": 0.8277604041375993, | |
| "eval_loss": 0.619115948677063, | |
| "eval_precision_macro": 0.7596164331235828, | |
| "eval_precision_micro": 0.8277604041375992, | |
| "eval_recall_macro": 0.7832912830659067, | |
| "eval_recall_micro": 0.8277604041375992, | |
| "eval_runtime": 77.7196, | |
| "eval_samples_per_second": 53.487, | |
| "eval_steps_per_second": 3.345, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.825643516270034, | |
| "grad_norm": 17.786861419677734, | |
| "learning_rate": 1.587421078193298e-05, | |
| "loss": 0.2914, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.825643516270034, | |
| "eval_accuracy": 0.7873466442145778, | |
| "eval_f1_macro": 0.7264208752916804, | |
| "eval_f1_micro": 0.7873466442145777, | |
| "eval_loss": 0.7651363015174866, | |
| "eval_precision_macro": 0.7408201824968061, | |
| "eval_precision_micro": 0.7873466442145778, | |
| "eval_recall_macro": 0.7604117672744211, | |
| "eval_recall_micro": 0.7873466442145778, | |
| "eval_runtime": 77.8533, | |
| "eval_samples_per_second": 53.395, | |
| "eval_steps_per_second": 3.34, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.8742107819329772, | |
| "grad_norm": 15.827679634094238, | |
| "learning_rate": 1.5631374453618262e-05, | |
| "loss": 0.254, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.8742107819329772, | |
| "eval_accuracy": 0.7729131585277844, | |
| "eval_f1_macro": 0.7078131643612664, | |
| "eval_f1_micro": 0.7729131585277844, | |
| "eval_loss": 0.8441910743713379, | |
| "eval_precision_macro": 0.7184265914939797, | |
| "eval_precision_micro": 0.7729131585277844, | |
| "eval_recall_macro": 0.7567655915669744, | |
| "eval_recall_micro": 0.7729131585277844, | |
| "eval_runtime": 78.4035, | |
| "eval_samples_per_second": 53.021, | |
| "eval_steps_per_second": 3.316, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.9227780475959203, | |
| "grad_norm": 13.433658599853516, | |
| "learning_rate": 1.5388538125303546e-05, | |
| "loss": 0.2446, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.9227780475959203, | |
| "eval_accuracy": 0.8330526822227567, | |
| "eval_f1_macro": 0.7754170140757469, | |
| "eval_f1_micro": 0.8330526822227567, | |
| "eval_loss": 0.6231703162193298, | |
| "eval_precision_macro": 0.7743561402393088, | |
| "eval_precision_micro": 0.8330526822227567, | |
| "eval_recall_macro": 0.8166841562149844, | |
| "eval_recall_micro": 0.8330526822227567, | |
| "eval_runtime": 77.9333, | |
| "eval_samples_per_second": 53.341, | |
| "eval_steps_per_second": 3.336, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.9713453132588635, | |
| "grad_norm": 1.4447236061096191, | |
| "learning_rate": 1.514570179698883e-05, | |
| "loss": 0.2468, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.9713453132588635, | |
| "eval_accuracy": 0.8448400288669714, | |
| "eval_f1_macro": 0.785930557684152, | |
| "eval_f1_micro": 0.8448400288669714, | |
| "eval_loss": 0.5916985869407654, | |
| "eval_precision_macro": 0.779867107822518, | |
| "eval_precision_micro": 0.8448400288669714, | |
| "eval_recall_macro": 0.8258044114789991, | |
| "eval_recall_micro": 0.8448400288669714, | |
| "eval_runtime": 78.2704, | |
| "eval_samples_per_second": 53.111, | |
| "eval_steps_per_second": 3.322, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.0199125789218066, | |
| "grad_norm": 42.209495544433594, | |
| "learning_rate": 1.4902865468674114e-05, | |
| "loss": 0.2197, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 1.0199125789218066, | |
| "eval_accuracy": 0.8210247774837623, | |
| "eval_f1_macro": 0.7496958773425116, | |
| "eval_f1_micro": 0.8210247774837625, | |
| "eval_loss": 0.6304962038993835, | |
| "eval_precision_macro": 0.7800275333894653, | |
| "eval_precision_micro": 0.8210247774837623, | |
| "eval_recall_macro": 0.7725863519296959, | |
| "eval_recall_micro": 0.8210247774837623, | |
| "eval_runtime": 78.4172, | |
| "eval_samples_per_second": 53.011, | |
| "eval_steps_per_second": 3.316, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 1.0684798445847499, | |
| "grad_norm": 6.323939800262451, | |
| "learning_rate": 1.46600291403594e-05, | |
| "loss": 0.1474, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 1.0684798445847499, | |
| "eval_accuracy": 0.8210247774837623, | |
| "eval_f1_macro": 0.7654970298380952, | |
| "eval_f1_micro": 0.8210247774837625, | |
| "eval_loss": 0.6584117412567139, | |
| "eval_precision_macro": 0.7776774908498755, | |
| "eval_precision_micro": 0.8210247774837623, | |
| "eval_recall_macro": 0.7832612508206293, | |
| "eval_recall_micro": 0.8210247774837623, | |
| "eval_runtime": 78.2294, | |
| "eval_samples_per_second": 53.139, | |
| "eval_steps_per_second": 3.324, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 1.117047110247693, | |
| "grad_norm": 5.200247287750244, | |
| "learning_rate": 1.4417192812044682e-05, | |
| "loss": 0.1385, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 1.117047110247693, | |
| "eval_accuracy": 0.8465239355304306, | |
| "eval_f1_macro": 0.795171009913394, | |
| "eval_f1_micro": 0.8465239355304306, | |
| "eval_loss": 0.5680557489395142, | |
| "eval_precision_macro": 0.8036743010238906, | |
| "eval_precision_micro": 0.8465239355304306, | |
| "eval_recall_macro": 0.8194950943386284, | |
| "eval_recall_micro": 0.8465239355304306, | |
| "eval_runtime": 77.9399, | |
| "eval_samples_per_second": 53.336, | |
| "eval_steps_per_second": 3.336, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 1.1656143759106363, | |
| "grad_norm": 59.158382415771484, | |
| "learning_rate": 1.4174356483729968e-05, | |
| "loss": 0.1135, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 1.1656143759106363, | |
| "eval_accuracy": 0.867452489776281, | |
| "eval_f1_macro": 0.8221801724207984, | |
| "eval_f1_micro": 0.867452489776281, | |
| "eval_loss": 0.5212485194206238, | |
| "eval_precision_macro": 0.8331447468612765, | |
| "eval_precision_micro": 0.867452489776281, | |
| "eval_recall_macro": 0.8320781071525781, | |
| "eval_recall_micro": 0.867452489776281, | |
| "eval_runtime": 78.3816, | |
| "eval_samples_per_second": 53.035, | |
| "eval_steps_per_second": 3.317, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 1.2141816415735793, | |
| "grad_norm": 1.2092406749725342, | |
| "learning_rate": 1.393152015541525e-05, | |
| "loss": 0.153, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.2141816415735793, | |
| "eval_accuracy": 0.854462352658167, | |
| "eval_f1_macro": 0.79162479913702, | |
| "eval_f1_micro": 0.854462352658167, | |
| "eval_loss": 0.5905571579933167, | |
| "eval_precision_macro": 0.8007086193727224, | |
| "eval_precision_micro": 0.854462352658167, | |
| "eval_recall_macro": 0.8240486776141968, | |
| "eval_recall_micro": 0.854462352658167, | |
| "eval_runtime": 77.8377, | |
| "eval_samples_per_second": 53.406, | |
| "eval_steps_per_second": 3.34, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.2627489072365226, | |
| "grad_norm": 4.295379638671875, | |
| "learning_rate": 1.3688683827100536e-05, | |
| "loss": 0.1221, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 1.2627489072365226, | |
| "eval_accuracy": 0.8780370459465962, | |
| "eval_f1_macro": 0.8233792046483023, | |
| "eval_f1_micro": 0.8780370459465962, | |
| "eval_loss": 0.48117873072624207, | |
| "eval_precision_macro": 0.8275579818555562, | |
| "eval_precision_micro": 0.8780370459465962, | |
| "eval_recall_macro": 0.8399965589517642, | |
| "eval_recall_micro": 0.8780370459465962, | |
| "eval_runtime": 78.2827, | |
| "eval_samples_per_second": 53.102, | |
| "eval_steps_per_second": 3.321, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 1.3113161728994658, | |
| "grad_norm": 0.7493284940719604, | |
| "learning_rate": 1.344584749878582e-05, | |
| "loss": 0.134, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 1.3113161728994658, | |
| "eval_accuracy": 0.8525378878999278, | |
| "eval_f1_macro": 0.8105294018236757, | |
| "eval_f1_micro": 0.8525378878999278, | |
| "eval_loss": 0.6301819682121277, | |
| "eval_precision_macro": 0.8127798645314742, | |
| "eval_precision_micro": 0.8525378878999278, | |
| "eval_recall_macro": 0.8407694300980793, | |
| "eval_recall_micro": 0.8525378878999278, | |
| "eval_runtime": 78.1792, | |
| "eval_samples_per_second": 53.173, | |
| "eval_steps_per_second": 3.326, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 1.359883438562409, | |
| "grad_norm": 15.269425392150879, | |
| "learning_rate": 1.3203011170471102e-05, | |
| "loss": 0.1177, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 1.359883438562409, | |
| "eval_accuracy": 0.8720230935770988, | |
| "eval_f1_macro": 0.8162750069957628, | |
| "eval_f1_micro": 0.872023093577099, | |
| "eval_loss": 0.5413680672645569, | |
| "eval_precision_macro": 0.8190184865925261, | |
| "eval_precision_micro": 0.8720230935770988, | |
| "eval_recall_macro": 0.8430994278929198, | |
| "eval_recall_micro": 0.8720230935770988, | |
| "eval_runtime": 77.9146, | |
| "eval_samples_per_second": 53.353, | |
| "eval_steps_per_second": 3.337, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 1.408450704225352, | |
| "grad_norm": 2.0257482528686523, | |
| "learning_rate": 1.2960174842156388e-05, | |
| "loss": 0.0987, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 1.408450704225352, | |
| "eval_accuracy": 0.8809237430839548, | |
| "eval_f1_macro": 0.8218294114431427, | |
| "eval_f1_micro": 0.8809237430839548, | |
| "eval_loss": 0.5116602182388306, | |
| "eval_precision_macro": 0.8136201153530077, | |
| "eval_precision_micro": 0.8809237430839548, | |
| "eval_recall_macro": 0.8508023667833765, | |
| "eval_recall_micro": 0.8809237430839548, | |
| "eval_runtime": 78.002, | |
| "eval_samples_per_second": 53.294, | |
| "eval_steps_per_second": 3.333, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 1.4570179698882952, | |
| "grad_norm": 42.31605529785156, | |
| "learning_rate": 1.2717338513841673e-05, | |
| "loss": 0.1058, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.4570179698882952, | |
| "eval_accuracy": 0.8433966802982921, | |
| "eval_f1_macro": 0.8068375038460742, | |
| "eval_f1_micro": 0.8433966802982921, | |
| "eval_loss": 0.6526976823806763, | |
| "eval_precision_macro": 0.8158791028657807, | |
| "eval_precision_micro": 0.8433966802982921, | |
| "eval_recall_macro": 0.8236984397615126, | |
| "eval_recall_micro": 0.8433966802982921, | |
| "eval_runtime": 78.2408, | |
| "eval_samples_per_second": 53.131, | |
| "eval_steps_per_second": 3.323, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.5055852355512385, | |
| "grad_norm": 0.04906897246837616, | |
| "learning_rate": 1.2474502185526956e-05, | |
| "loss": 0.0847, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 1.5055852355512385, | |
| "eval_accuracy": 0.8554245850372865, | |
| "eval_f1_macro": 0.798783246253302, | |
| "eval_f1_micro": 0.8554245850372865, | |
| "eval_loss": 0.5800924301147461, | |
| "eval_precision_macro": 0.8004222933889796, | |
| "eval_precision_micro": 0.8554245850372865, | |
| "eval_recall_macro": 0.8243767820708686, | |
| "eval_recall_micro": 0.8554245850372865, | |
| "eval_runtime": 77.9481, | |
| "eval_samples_per_second": 53.33, | |
| "eval_steps_per_second": 3.336, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 1.5541525012141817, | |
| "grad_norm": 0.13342243432998657, | |
| "learning_rate": 1.223166585721224e-05, | |
| "loss": 0.0934, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 1.5541525012141817, | |
| "eval_accuracy": 0.8433966802982921, | |
| "eval_f1_macro": 0.7975033136779321, | |
| "eval_f1_micro": 0.8433966802982921, | |
| "eval_loss": 0.6552587151527405, | |
| "eval_precision_macro": 0.7929638472956879, | |
| "eval_precision_micro": 0.8433966802982921, | |
| "eval_recall_macro": 0.8272082545582277, | |
| "eval_recall_micro": 0.8433966802982921, | |
| "eval_runtime": 78.5124, | |
| "eval_samples_per_second": 52.947, | |
| "eval_steps_per_second": 3.312, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 1.602719766877125, | |
| "grad_norm": 0.7083119750022888, | |
| "learning_rate": 1.1988829528897524e-05, | |
| "loss": 0.0969, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 1.602719766877125, | |
| "eval_accuracy": 0.82607649747414, | |
| "eval_f1_macro": 0.7832101352133586, | |
| "eval_f1_micro": 0.82607649747414, | |
| "eval_loss": 0.7666494250297546, | |
| "eval_precision_macro": 0.7876268324182853, | |
| "eval_precision_micro": 0.82607649747414, | |
| "eval_recall_macro": 0.8241865106118899, | |
| "eval_recall_micro": 0.82607649747414, | |
| "eval_runtime": 78.311, | |
| "eval_samples_per_second": 53.083, | |
| "eval_steps_per_second": 3.32, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 1.651287032540068, | |
| "grad_norm": 16.786699295043945, | |
| "learning_rate": 1.1745993200582808e-05, | |
| "loss": 0.1428, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 1.651287032540068, | |
| "eval_accuracy": 0.8462833774356507, | |
| "eval_f1_macro": 0.7894688554105801, | |
| "eval_f1_micro": 0.8462833774356507, | |
| "eval_loss": 0.685663104057312, | |
| "eval_precision_macro": 0.7989143890731024, | |
| "eval_precision_micro": 0.8462833774356507, | |
| "eval_recall_macro": 0.8135123764257445, | |
| "eval_recall_micro": 0.8462833774356507, | |
| "eval_runtime": 78.0482, | |
| "eval_samples_per_second": 53.262, | |
| "eval_steps_per_second": 3.331, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 1.6998542982030111, | |
| "grad_norm": 27.461700439453125, | |
| "learning_rate": 1.1503156872268093e-05, | |
| "loss": 0.0681, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.6998542982030111, | |
| "eval_accuracy": 0.8898243925908107, | |
| "eval_f1_macro": 0.8280214132166845, | |
| "eval_f1_micro": 0.8898243925908107, | |
| "eval_loss": 0.5203650593757629, | |
| "eval_precision_macro": 0.8341272420720794, | |
| "eval_precision_micro": 0.8898243925908107, | |
| "eval_recall_macro": 0.8595091501105108, | |
| "eval_recall_micro": 0.8898243925908107, | |
| "eval_runtime": 78.1461, | |
| "eval_samples_per_second": 53.195, | |
| "eval_steps_per_second": 3.327, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.7484215638659544, | |
| "grad_norm": 69.4913101196289, | |
| "learning_rate": 1.1260320543953375e-05, | |
| "loss": 0.0931, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 1.7484215638659544, | |
| "eval_accuracy": 0.8684147221554005, | |
| "eval_f1_macro": 0.8151692727718802, | |
| "eval_f1_micro": 0.8684147221554005, | |
| "eval_loss": 0.6120151281356812, | |
| "eval_precision_macro": 0.8240793067449873, | |
| "eval_precision_micro": 0.8684147221554005, | |
| "eval_recall_macro": 0.8314024627761833, | |
| "eval_recall_micro": 0.8684147221554005, | |
| "eval_runtime": 78.1922, | |
| "eval_samples_per_second": 53.164, | |
| "eval_steps_per_second": 3.325, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 1.7969888295288974, | |
| "grad_norm": 0.8026056885719299, | |
| "learning_rate": 1.1017484215638661e-05, | |
| "loss": 0.0935, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 1.7969888295288974, | |
| "eval_accuracy": 0.8715419773875391, | |
| "eval_f1_macro": 0.8220476579310915, | |
| "eval_f1_micro": 0.8715419773875391, | |
| "eval_loss": 0.5801733732223511, | |
| "eval_precision_macro": 0.8170628217436031, | |
| "eval_precision_micro": 0.8715419773875391, | |
| "eval_recall_macro": 0.8414628001544893, | |
| "eval_recall_micro": 0.8715419773875391, | |
| "eval_runtime": 77.92, | |
| "eval_samples_per_second": 53.35, | |
| "eval_steps_per_second": 3.337, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 1.8455560951918408, | |
| "grad_norm": 20.50851058959961, | |
| "learning_rate": 1.0774647887323943e-05, | |
| "loss": 0.1051, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 1.8455560951918408, | |
| "eval_accuracy": 0.8638441183545826, | |
| "eval_f1_macro": 0.8138781743364819, | |
| "eval_f1_micro": 0.8638441183545826, | |
| "eval_loss": 0.6387995481491089, | |
| "eval_precision_macro": 0.8120807002790287, | |
| "eval_precision_micro": 0.8638441183545826, | |
| "eval_recall_macro": 0.8384780204857788, | |
| "eval_recall_micro": 0.8638441183545826, | |
| "eval_runtime": 78.3578, | |
| "eval_samples_per_second": 53.052, | |
| "eval_steps_per_second": 3.318, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 1.8941233608547838, | |
| "grad_norm": 0.4359864890575409, | |
| "learning_rate": 1.0531811559009229e-05, | |
| "loss": 0.1141, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 1.8941233608547838, | |
| "eval_accuracy": 0.8734664421457782, | |
| "eval_f1_macro": 0.8181325108037866, | |
| "eval_f1_micro": 0.8734664421457783, | |
| "eval_loss": 0.6033037304878235, | |
| "eval_precision_macro": 0.8257092361144394, | |
| "eval_precision_micro": 0.8734664421457782, | |
| "eval_recall_macro": 0.8280682968840635, | |
| "eval_recall_micro": 0.8734664421457782, | |
| "eval_runtime": 78.3807, | |
| "eval_samples_per_second": 53.036, | |
| "eval_steps_per_second": 3.317, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 1.942690626517727, | |
| "grad_norm": 0.026569893583655357, | |
| "learning_rate": 1.0288975230694513e-05, | |
| "loss": 0.0782, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.942690626517727, | |
| "eval_accuracy": 0.8713014192927592, | |
| "eval_f1_macro": 0.8158890342266224, | |
| "eval_f1_micro": 0.8713014192927592, | |
| "eval_loss": 0.6082781553268433, | |
| "eval_precision_macro": 0.8100721903094688, | |
| "eval_precision_micro": 0.8713014192927592, | |
| "eval_recall_macro": 0.8378298843929596, | |
| "eval_recall_micro": 0.8713014192927592, | |
| "eval_runtime": 77.7827, | |
| "eval_samples_per_second": 53.444, | |
| "eval_steps_per_second": 3.343, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.9912578921806703, | |
| "grad_norm": 0.27337446808815, | |
| "learning_rate": 1.0046138902379797e-05, | |
| "loss": 0.0935, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 1.9912578921806703, | |
| "eval_accuracy": 0.8385855184026942, | |
| "eval_f1_macro": 0.7755030296607576, | |
| "eval_f1_micro": 0.8385855184026941, | |
| "eval_loss": 0.7882886528968811, | |
| "eval_precision_macro": 0.772528897611925, | |
| "eval_precision_micro": 0.8385855184026942, | |
| "eval_recall_macro": 0.821396700276969, | |
| "eval_recall_micro": 0.8385855184026942, | |
| "eval_runtime": 78.0832, | |
| "eval_samples_per_second": 53.238, | |
| "eval_steps_per_second": 3.33, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 2.0398251578436133, | |
| "grad_norm": 0.06082015484571457, | |
| "learning_rate": 9.803302574065081e-06, | |
| "loss": 0.0446, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 2.0398251578436133, | |
| "eval_accuracy": 0.8462833774356507, | |
| "eval_f1_macro": 0.793800305134788, | |
| "eval_f1_micro": 0.8462833774356507, | |
| "eval_loss": 0.7242459654808044, | |
| "eval_precision_macro": 0.8042449609141427, | |
| "eval_precision_micro": 0.8462833774356507, | |
| "eval_recall_macro": 0.8070235910631676, | |
| "eval_recall_micro": 0.8462833774356507, | |
| "eval_runtime": 78.366, | |
| "eval_samples_per_second": 53.046, | |
| "eval_steps_per_second": 3.318, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 2.0883924235065567, | |
| "grad_norm": 1.1284111738204956, | |
| "learning_rate": 9.560466245750365e-06, | |
| "loss": 0.0394, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 2.0883924235065567, | |
| "eval_accuracy": 0.8573490497955256, | |
| "eval_f1_macro": 0.8097667721853947, | |
| "eval_f1_micro": 0.8573490497955256, | |
| "eval_loss": 0.6780639886856079, | |
| "eval_precision_macro": 0.8206783431890832, | |
| "eval_precision_micro": 0.8573490497955256, | |
| "eval_recall_macro": 0.8218729335160754, | |
| "eval_recall_micro": 0.8573490497955256, | |
| "eval_runtime": 78.4567, | |
| "eval_samples_per_second": 52.985, | |
| "eval_steps_per_second": 3.314, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 2.1369596891694997, | |
| "grad_norm": 1.0478459596633911, | |
| "learning_rate": 9.317629917435649e-06, | |
| "loss": 0.023, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 2.1369596891694997, | |
| "eval_accuracy": 0.8381044022131344, | |
| "eval_f1_macro": 0.7761721486362632, | |
| "eval_f1_micro": 0.8381044022131344, | |
| "eval_loss": 0.8235397934913635, | |
| "eval_precision_macro": 0.8022053549256318, | |
| "eval_precision_micro": 0.8381044022131344, | |
| "eval_recall_macro": 0.8109538575923662, | |
| "eval_recall_micro": 0.8381044022131344, | |
| "eval_runtime": 77.944, | |
| "eval_samples_per_second": 53.333, | |
| "eval_steps_per_second": 3.336, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 2.1855269548324427, | |
| "grad_norm": 0.0286689605563879, | |
| "learning_rate": 9.074793589120935e-06, | |
| "loss": 0.0338, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 2.1855269548324427, | |
| "eval_accuracy": 0.8703391869136397, | |
| "eval_f1_macro": 0.8094122567680977, | |
| "eval_f1_micro": 0.8703391869136397, | |
| "eval_loss": 0.6315681338310242, | |
| "eval_precision_macro": 0.8074299681427781, | |
| "eval_precision_micro": 0.8703391869136397, | |
| "eval_recall_macro": 0.8337866144492019, | |
| "eval_recall_micro": 0.8703391869136397, | |
| "eval_runtime": 78.3498, | |
| "eval_samples_per_second": 53.057, | |
| "eval_steps_per_second": 3.318, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 2.234094220495386, | |
| "grad_norm": 0.06468763947486877, | |
| "learning_rate": 8.831957260806217e-06, | |
| "loss": 0.0414, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 2.234094220495386, | |
| "eval_accuracy": 0.8840509983160934, | |
| "eval_f1_macro": 0.824537485440517, | |
| "eval_f1_micro": 0.8840509983160935, | |
| "eval_loss": 0.5948061347007751, | |
| "eval_precision_macro": 0.8233324585853661, | |
| "eval_precision_micro": 0.8840509983160934, | |
| "eval_recall_macro": 0.8505518969806567, | |
| "eval_recall_micro": 0.8840509983160934, | |
| "eval_runtime": 77.9733, | |
| "eval_samples_per_second": 53.313, | |
| "eval_steps_per_second": 3.334, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 2.282661486158329, | |
| "grad_norm": 4.641617298126221, | |
| "learning_rate": 8.5891209324915e-06, | |
| "loss": 0.0379, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 2.282661486158329, | |
| "eval_accuracy": 0.8765936973779168, | |
| "eval_f1_macro": 0.825230740105461, | |
| "eval_f1_micro": 0.8765936973779168, | |
| "eval_loss": 0.5780928134918213, | |
| "eval_precision_macro": 0.8206894619069279, | |
| "eval_precision_micro": 0.8765936973779168, | |
| "eval_recall_macro": 0.841894179116351, | |
| "eval_recall_micro": 0.8765936973779168, | |
| "eval_runtime": 78.4226, | |
| "eval_samples_per_second": 53.008, | |
| "eval_steps_per_second": 3.315, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 2.3312287518212726, | |
| "grad_norm": 0.23332637548446655, | |
| "learning_rate": 8.346284604176785e-06, | |
| "loss": 0.0473, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 2.3312287518212726, | |
| "eval_accuracy": 0.8729853259562185, | |
| "eval_f1_macro": 0.8052063570572925, | |
| "eval_f1_micro": 0.8729853259562185, | |
| "eval_loss": 0.6347105503082275, | |
| "eval_precision_macro": 0.8294626941554183, | |
| "eval_precision_micro": 0.8729853259562185, | |
| "eval_recall_macro": 0.8174296733333687, | |
| "eval_recall_micro": 0.8729853259562185, | |
| "eval_runtime": 77.9725, | |
| "eval_samples_per_second": 53.314, | |
| "eval_steps_per_second": 3.335, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 2.3797960174842157, | |
| "grad_norm": 0.014487605541944504, | |
| "learning_rate": 8.103448275862069e-06, | |
| "loss": 0.0159, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 2.3797960174842157, | |
| "eval_accuracy": 0.8681741640606206, | |
| "eval_f1_macro": 0.8094189525603713, | |
| "eval_f1_micro": 0.8681741640606206, | |
| "eval_loss": 0.6882294416427612, | |
| "eval_precision_macro": 0.8262511053264366, | |
| "eval_precision_micro": 0.8681741640606206, | |
| "eval_recall_macro": 0.824772348858174, | |
| "eval_recall_micro": 0.8681741640606206, | |
| "eval_runtime": 78.4876, | |
| "eval_samples_per_second": 52.964, | |
| "eval_steps_per_second": 3.313, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 2.4283632831471587, | |
| "grad_norm": 0.011654403060674667, | |
| "learning_rate": 7.860611947547354e-06, | |
| "loss": 0.0115, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.4283632831471587, | |
| "eval_accuracy": 0.8830887659369738, | |
| "eval_f1_macro": 0.8288533499086042, | |
| "eval_f1_micro": 0.8830887659369738, | |
| "eval_loss": 0.5934479832649231, | |
| "eval_precision_macro": 0.8396603529798649, | |
| "eval_precision_micro": 0.8830887659369738, | |
| "eval_recall_macro": 0.8453069551945437, | |
| "eval_recall_micro": 0.8830887659369738, | |
| "eval_runtime": 78.5682, | |
| "eval_samples_per_second": 52.909, | |
| "eval_steps_per_second": 3.309, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.476930548810102, | |
| "grad_norm": 21.12113380432129, | |
| "learning_rate": 7.617775619232638e-06, | |
| "loss": 0.0494, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 2.476930548810102, | |
| "eval_accuracy": 0.8506134231416888, | |
| "eval_f1_macro": 0.7896669170968705, | |
| "eval_f1_micro": 0.8506134231416888, | |
| "eval_loss": 0.732039749622345, | |
| "eval_precision_macro": 0.7898243286153485, | |
| "eval_precision_micro": 0.8506134231416888, | |
| "eval_recall_macro": 0.8132701383447537, | |
| "eval_recall_micro": 0.8506134231416888, | |
| "eval_runtime": 78.0419, | |
| "eval_samples_per_second": 53.266, | |
| "eval_steps_per_second": 3.332, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 2.525497814473045, | |
| "grad_norm": 0.14766599237918854, | |
| "learning_rate": 7.3749392909179215e-06, | |
| "loss": 0.0318, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 2.525497814473045, | |
| "eval_accuracy": 0.8491700745730094, | |
| "eval_f1_macro": 0.8013080246715508, | |
| "eval_f1_micro": 0.8491700745730094, | |
| "eval_loss": 0.775058925151825, | |
| "eval_precision_macro": 0.8191511470633912, | |
| "eval_precision_micro": 0.8491700745730094, | |
| "eval_recall_macro": 0.8104006475463327, | |
| "eval_recall_micro": 0.8491700745730094, | |
| "eval_runtime": 78.0698, | |
| "eval_samples_per_second": 53.247, | |
| "eval_steps_per_second": 3.33, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 2.5740650801359886, | |
| "grad_norm": 0.01593843102455139, | |
| "learning_rate": 7.1321029626032054e-06, | |
| "loss": 0.0493, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 2.5740650801359886, | |
| "eval_accuracy": 0.8907866249699302, | |
| "eval_f1_macro": 0.846949212010463, | |
| "eval_f1_micro": 0.8907866249699302, | |
| "eval_loss": 0.5424800515174866, | |
| "eval_precision_macro": 0.8565661804143393, | |
| "eval_precision_micro": 0.8907866249699302, | |
| "eval_recall_macro": 0.852065989778345, | |
| "eval_recall_micro": 0.8907866249699302, | |
| "eval_runtime": 78.4856, | |
| "eval_samples_per_second": 52.965, | |
| "eval_steps_per_second": 3.313, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 2.6226323457989316, | |
| "grad_norm": 39.92009353637695, | |
| "learning_rate": 6.88926663428849e-06, | |
| "loss": 0.0265, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 2.6226323457989316, | |
| "eval_accuracy": 0.8811643011787347, | |
| "eval_f1_macro": 0.8343599063711409, | |
| "eval_f1_micro": 0.8811643011787347, | |
| "eval_loss": 0.5994859933853149, | |
| "eval_precision_macro": 0.8496569155300632, | |
| "eval_precision_micro": 0.8811643011787347, | |
| "eval_recall_macro": 0.8421658331646679, | |
| "eval_recall_micro": 0.8811643011787347, | |
| "eval_runtime": 78.0929, | |
| "eval_samples_per_second": 53.231, | |
| "eval_steps_per_second": 3.329, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 2.6711996114618746, | |
| "grad_norm": 0.05156758427619934, | |
| "learning_rate": 6.646430305973774e-06, | |
| "loss": 0.0644, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 2.6711996114618746, | |
| "eval_accuracy": 0.8898243925908107, | |
| "eval_f1_macro": 0.8456373260763799, | |
| "eval_f1_micro": 0.8898243925908107, | |
| "eval_loss": 0.5272171497344971, | |
| "eval_precision_macro": 0.8489836763758699, | |
| "eval_precision_micro": 0.8898243925908107, | |
| "eval_recall_macro": 0.8557074629075649, | |
| "eval_recall_micro": 0.8898243925908107, | |
| "eval_runtime": 78.4213, | |
| "eval_samples_per_second": 53.009, | |
| "eval_steps_per_second": 3.315, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 2.719766877124818, | |
| "grad_norm": 0.8775114417076111, | |
| "learning_rate": 6.403593977659058e-06, | |
| "loss": 0.0452, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 2.719766877124818, | |
| "eval_accuracy": 0.8650469088284821, | |
| "eval_f1_macro": 0.8179080927250358, | |
| "eval_f1_micro": 0.8650469088284821, | |
| "eval_loss": 0.6951431035995483, | |
| "eval_precision_macro": 0.8176656256318844, | |
| "eval_precision_micro": 0.8650469088284821, | |
| "eval_recall_macro": 0.8412836305297059, | |
| "eval_recall_micro": 0.8650469088284821, | |
| "eval_runtime": 78.6127, | |
| "eval_samples_per_second": 52.879, | |
| "eval_steps_per_second": 3.307, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 2.768334142787761, | |
| "grad_norm": 0.023337820544838905, | |
| "learning_rate": 6.160757649344342e-06, | |
| "loss": 0.0238, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 2.768334142787761, | |
| "eval_accuracy": 0.8691363964397402, | |
| "eval_f1_macro": 0.8141029552401969, | |
| "eval_f1_micro": 0.8691363964397402, | |
| "eval_loss": 0.6843555569648743, | |
| "eval_precision_macro": 0.828107626781137, | |
| "eval_precision_micro": 0.8691363964397402, | |
| "eval_recall_macro": 0.8223290635441496, | |
| "eval_recall_micro": 0.8691363964397402, | |
| "eval_runtime": 77.8775, | |
| "eval_samples_per_second": 53.379, | |
| "eval_steps_per_second": 3.339, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 2.816901408450704, | |
| "grad_norm": 2.3684067726135254, | |
| "learning_rate": 5.917921321029626e-06, | |
| "loss": 0.0344, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 2.816901408450704, | |
| "eval_accuracy": 0.8842915564108732, | |
| "eval_f1_macro": 0.8254107617822057, | |
| "eval_f1_micro": 0.8842915564108732, | |
| "eval_loss": 0.5869230628013611, | |
| "eval_precision_macro": 0.8172320894762466, | |
| "eval_precision_micro": 0.8842915564108732, | |
| "eval_recall_macro": 0.8495662880335549, | |
| "eval_recall_micro": 0.8842915564108732, | |
| "eval_runtime": 78.0202, | |
| "eval_samples_per_second": 53.281, | |
| "eval_steps_per_second": 3.332, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 2.8654686741136475, | |
| "grad_norm": 0.07361145317554474, | |
| "learning_rate": 5.675084992714911e-06, | |
| "loss": 0.0212, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 2.8654686741136475, | |
| "eval_accuracy": 0.8768342554726967, | |
| "eval_f1_macro": 0.8234793626505037, | |
| "eval_f1_micro": 0.8768342554726967, | |
| "eval_loss": 0.6304789185523987, | |
| "eval_precision_macro": 0.8184524998357775, | |
| "eval_precision_micro": 0.8768342554726967, | |
| "eval_recall_macro": 0.8476992326610299, | |
| "eval_recall_micro": 0.8768342554726967, | |
| "eval_runtime": 78.6516, | |
| "eval_samples_per_second": 52.853, | |
| "eval_steps_per_second": 3.306, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 2.9140359397765905, | |
| "grad_norm": 0.009860685095191002, | |
| "learning_rate": 5.432248664400195e-06, | |
| "loss": 0.0239, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 2.9140359397765905, | |
| "eval_accuracy": 0.8518162136155881, | |
| "eval_f1_macro": 0.8017569225322448, | |
| "eval_f1_micro": 0.8518162136155881, | |
| "eval_loss": 0.7799412608146667, | |
| "eval_precision_macro": 0.7982453929078707, | |
| "eval_precision_micro": 0.8518162136155881, | |
| "eval_recall_macro": 0.8304382158522342, | |
| "eval_recall_micro": 0.8518162136155881, | |
| "eval_runtime": 78.0376, | |
| "eval_samples_per_second": 53.269, | |
| "eval_steps_per_second": 3.332, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 2.9626032054395335, | |
| "grad_norm": 0.0258096382021904, | |
| "learning_rate": 5.189412336085479e-06, | |
| "loss": 0.0293, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 2.9626032054395335, | |
| "eval_accuracy": 0.8741881164301178, | |
| "eval_f1_macro": 0.8230892222950853, | |
| "eval_f1_micro": 0.8741881164301178, | |
| "eval_loss": 0.6950201392173767, | |
| "eval_precision_macro": 0.8197692931333949, | |
| "eval_precision_micro": 0.8741881164301178, | |
| "eval_recall_macro": 0.8477652020234965, | |
| "eval_recall_micro": 0.8741881164301178, | |
| "eval_runtime": 78.3208, | |
| "eval_samples_per_second": 53.077, | |
| "eval_steps_per_second": 3.32, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 3.011170471102477, | |
| "grad_norm": 0.1370718628168106, | |
| "learning_rate": 4.946576007770763e-06, | |
| "loss": 0.0288, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 3.011170471102477, | |
| "eval_accuracy": 0.8789992783257157, | |
| "eval_f1_macro": 0.829792442447409, | |
| "eval_f1_micro": 0.8789992783257157, | |
| "eval_loss": 0.6330971717834473, | |
| "eval_precision_macro": 0.8231458659168076, | |
| "eval_precision_micro": 0.8789992783257157, | |
| "eval_recall_macro": 0.8504144231450652, | |
| "eval_recall_micro": 0.8789992783257157, | |
| "eval_runtime": 78.7114, | |
| "eval_samples_per_second": 52.813, | |
| "eval_steps_per_second": 3.303, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 3.05973773676542, | |
| "grad_norm": 0.055757131427526474, | |
| "learning_rate": 4.703739679456047e-06, | |
| "loss": 0.0254, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 3.05973773676542, | |
| "eval_accuracy": 0.8799615107048352, | |
| "eval_f1_macro": 0.8318246689081815, | |
| "eval_f1_micro": 0.8799615107048352, | |
| "eval_loss": 0.63609379529953, | |
| "eval_precision_macro": 0.8269628089569904, | |
| "eval_precision_micro": 0.8799615107048352, | |
| "eval_recall_macro": 0.8565965365714439, | |
| "eval_recall_micro": 0.8799615107048352, | |
| "eval_runtime": 78.354, | |
| "eval_samples_per_second": 53.054, | |
| "eval_steps_per_second": 3.318, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 3.1083050024283634, | |
| "grad_norm": 0.006881752982735634, | |
| "learning_rate": 4.460903351141332e-06, | |
| "loss": 0.0252, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 3.1083050024283634, | |
| "eval_accuracy": 0.8862160211691124, | |
| "eval_f1_macro": 0.8441970931986851, | |
| "eval_f1_micro": 0.8862160211691124, | |
| "eval_loss": 0.6103322505950928, | |
| "eval_precision_macro": 0.8494002256031983, | |
| "eval_precision_micro": 0.8862160211691124, | |
| "eval_recall_macro": 0.8594469740432842, | |
| "eval_recall_micro": 0.8862160211691124, | |
| "eval_runtime": 78.3491, | |
| "eval_samples_per_second": 53.057, | |
| "eval_steps_per_second": 3.318, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 3.1568722680913064, | |
| "grad_norm": 0.02003752812743187, | |
| "learning_rate": 4.2180670228266156e-06, | |
| "loss": 0.0062, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 3.1568722680913064, | |
| "eval_accuracy": 0.8833293240317537, | |
| "eval_f1_macro": 0.8395368491034129, | |
| "eval_f1_micro": 0.8833293240317537, | |
| "eval_loss": 0.6034556031227112, | |
| "eval_precision_macro": 0.8398338415533984, | |
| "eval_precision_micro": 0.8833293240317537, | |
| "eval_recall_macro": 0.8524929004333107, | |
| "eval_recall_micro": 0.8833293240317537, | |
| "eval_runtime": 78.6267, | |
| "eval_samples_per_second": 52.87, | |
| "eval_steps_per_second": 3.307, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 3.20543953375425, | |
| "grad_norm": 0.09360187500715256, | |
| "learning_rate": 3.9752306945118995e-06, | |
| "loss": 0.0176, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 3.20543953375425, | |
| "eval_accuracy": 0.8850132306952129, | |
| "eval_f1_macro": 0.8304379003006633, | |
| "eval_f1_micro": 0.8850132306952128, | |
| "eval_loss": 0.6116442084312439, | |
| "eval_precision_macro": 0.8326738669282544, | |
| "eval_precision_micro": 0.8850132306952129, | |
| "eval_recall_macro": 0.85264914984025, | |
| "eval_recall_micro": 0.8850132306952129, | |
| "eval_runtime": 78.4069, | |
| "eval_samples_per_second": 53.018, | |
| "eval_steps_per_second": 3.316, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 3.254006799417193, | |
| "grad_norm": 0.0037081497721374035, | |
| "learning_rate": 3.7323943661971835e-06, | |
| "loss": 0.0077, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 3.254006799417193, | |
| "eval_accuracy": 0.8845321145056532, | |
| "eval_f1_macro": 0.8347831431371906, | |
| "eval_f1_micro": 0.8845321145056532, | |
| "eval_loss": 0.6256404519081116, | |
| "eval_precision_macro": 0.8436031947040645, | |
| "eval_precision_micro": 0.8845321145056532, | |
| "eval_recall_macro": 0.8486489503127234, | |
| "eval_recall_micro": 0.8845321145056532, | |
| "eval_runtime": 78.5317, | |
| "eval_samples_per_second": 52.934, | |
| "eval_steps_per_second": 3.311, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 3.302574065080136, | |
| "grad_norm": 0.06124697998166084, | |
| "learning_rate": 3.4895580378824675e-06, | |
| "loss": 0.0127, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 3.302574065080136, | |
| "eval_accuracy": 0.8794803945152755, | |
| "eval_f1_macro": 0.8278216288594707, | |
| "eval_f1_micro": 0.8794803945152755, | |
| "eval_loss": 0.6568040251731873, | |
| "eval_precision_macro": 0.8467736273399344, | |
| "eval_precision_micro": 0.8794803945152755, | |
| "eval_recall_macro": 0.8387083670261228, | |
| "eval_recall_micro": 0.8794803945152755, | |
| "eval_runtime": 78.3608, | |
| "eval_samples_per_second": 53.05, | |
| "eval_steps_per_second": 3.318, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 3.3511413307430793, | |
| "grad_norm": 0.25665995478630066, | |
| "learning_rate": 3.246721709567752e-06, | |
| "loss": 0.0178, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 3.3511413307430793, | |
| "eval_accuracy": 0.8713014192927592, | |
| "eval_f1_macro": 0.8179505523753748, | |
| "eval_f1_micro": 0.8713014192927592, | |
| "eval_loss": 0.7154167890548706, | |
| "eval_precision_macro": 0.8310341284957633, | |
| "eval_precision_micro": 0.8713014192927592, | |
| "eval_recall_macro": 0.8341873689934125, | |
| "eval_recall_micro": 0.8713014192927592, | |
| "eval_runtime": 78.685, | |
| "eval_samples_per_second": 52.831, | |
| "eval_steps_per_second": 3.304, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 3.3997085964060223, | |
| "grad_norm": 0.037899695336818695, | |
| "learning_rate": 3.0038853812530354e-06, | |
| "loss": 0.0019, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 3.3997085964060223, | |
| "eval_accuracy": 0.8816454173682945, | |
| "eval_f1_macro": 0.833404594848917, | |
| "eval_f1_micro": 0.8816454173682945, | |
| "eval_loss": 0.6380771994590759, | |
| "eval_precision_macro": 0.8392890539432627, | |
| "eval_precision_micro": 0.8816454173682945, | |
| "eval_recall_macro": 0.8437175960246225, | |
| "eval_recall_micro": 0.8816454173682945, | |
| "eval_runtime": 78.6949, | |
| "eval_samples_per_second": 52.824, | |
| "eval_steps_per_second": 3.304, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 3.4482758620689653, | |
| "grad_norm": 31.638689041137695, | |
| "learning_rate": 2.7610490529383198e-06, | |
| "loss": 0.0142, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 3.4482758620689653, | |
| "eval_accuracy": 0.8828482078421939, | |
| "eval_f1_macro": 0.833083270199735, | |
| "eval_f1_micro": 0.8828482078421939, | |
| "eval_loss": 0.6579678058624268, | |
| "eval_precision_macro": 0.8455418017703596, | |
| "eval_precision_micro": 0.8828482078421939, | |
| "eval_recall_macro": 0.8454918923836, | |
| "eval_recall_micro": 0.8828482078421939, | |
| "eval_runtime": 78.211, | |
| "eval_samples_per_second": 53.151, | |
| "eval_steps_per_second": 3.324, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 3.4968431277319088, | |
| "grad_norm": 28.2841796875, | |
| "learning_rate": 2.5182127246236037e-06, | |
| "loss": 0.0018, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 3.4968431277319088, | |
| "eval_accuracy": 0.8746692326196777, | |
| "eval_f1_macro": 0.8263362849592439, | |
| "eval_f1_micro": 0.8746692326196777, | |
| "eval_loss": 0.6722654104232788, | |
| "eval_precision_macro": 0.8233328721924625, | |
| "eval_precision_micro": 0.8746692326196777, | |
| "eval_recall_macro": 0.8458647636918942, | |
| "eval_recall_micro": 0.8746692326196777, | |
| "eval_runtime": 78.2301, | |
| "eval_samples_per_second": 53.138, | |
| "eval_steps_per_second": 3.324, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 3.5454103933948518, | |
| "grad_norm": 0.006923174951225519, | |
| "learning_rate": 2.2753763963088877e-06, | |
| "loss": 0.0159, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 3.5454103933948518, | |
| "eval_accuracy": 0.8700986288188598, | |
| "eval_f1_macro": 0.8196568446600343, | |
| "eval_f1_micro": 0.8700986288188598, | |
| "eval_loss": 0.7045225501060486, | |
| "eval_precision_macro": 0.8167725390706483, | |
| "eval_precision_micro": 0.8700986288188598, | |
| "eval_recall_macro": 0.8395234839263153, | |
| "eval_recall_micro": 0.8700986288188598, | |
| "eval_runtime": 78.7461, | |
| "eval_samples_per_second": 52.79, | |
| "eval_steps_per_second": 3.302, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 3.593977659057795, | |
| "grad_norm": 0.011453253217041492, | |
| "learning_rate": 2.032540067994172e-06, | |
| "loss": 0.0037, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 3.593977659057795, | |
| "eval_accuracy": 0.882607649747414, | |
| "eval_f1_macro": 0.8337455736704167, | |
| "eval_f1_micro": 0.882607649747414, | |
| "eval_loss": 0.6420170068740845, | |
| "eval_precision_macro": 0.8351021322092593, | |
| "eval_precision_micro": 0.882607649747414, | |
| "eval_recall_macro": 0.8453310977676587, | |
| "eval_recall_micro": 0.882607649747414, | |
| "eval_runtime": 78.3451, | |
| "eval_samples_per_second": 53.06, | |
| "eval_steps_per_second": 3.319, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 3.642544924720738, | |
| "grad_norm": 0.004663607105612755, | |
| "learning_rate": 1.789703739679456e-06, | |
| "loss": 0.0084, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 3.642544924720738, | |
| "eval_accuracy": 0.8802020687996152, | |
| "eval_f1_macro": 0.8320621801285876, | |
| "eval_f1_micro": 0.8802020687996152, | |
| "eval_loss": 0.652312695980072, | |
| "eval_precision_macro": 0.8306346210019144, | |
| "eval_precision_micro": 0.8802020687996152, | |
| "eval_recall_macro": 0.8493781023440272, | |
| "eval_recall_micro": 0.8802020687996152, | |
| "eval_runtime": 78.7968, | |
| "eval_samples_per_second": 52.756, | |
| "eval_steps_per_second": 3.3, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 3.6911121903836817, | |
| "grad_norm": 0.05554908514022827, | |
| "learning_rate": 1.5468674113647402e-06, | |
| "loss": 0.0017, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 3.6911121903836817, | |
| "eval_accuracy": 0.8874188116430118, | |
| "eval_f1_macro": 0.8401905388217382, | |
| "eval_f1_micro": 0.8874188116430118, | |
| "eval_loss": 0.6221657395362854, | |
| "eval_precision_macro": 0.8387107750272869, | |
| "eval_precision_micro": 0.8874188116430118, | |
| "eval_recall_macro": 0.8610361407962509, | |
| "eval_recall_micro": 0.8874188116430118, | |
| "eval_runtime": 78.6101, | |
| "eval_samples_per_second": 52.881, | |
| "eval_steps_per_second": 3.307, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 3.7396794560466247, | |
| "grad_norm": 2.2692418098449707, | |
| "learning_rate": 1.3040310830500244e-06, | |
| "loss": 0.0071, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 3.7396794560466247, | |
| "eval_accuracy": 0.8785181621361559, | |
| "eval_f1_macro": 0.8326744354650085, | |
| "eval_f1_micro": 0.878518162136156, | |
| "eval_loss": 0.664691686630249, | |
| "eval_precision_macro": 0.8341535564737329, | |
| "eval_precision_micro": 0.8785181621361559, | |
| "eval_recall_macro": 0.8463902152998535, | |
| "eval_recall_micro": 0.8785181621361559, | |
| "eval_runtime": 78.4331, | |
| "eval_samples_per_second": 53.001, | |
| "eval_steps_per_second": 3.315, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 3.7882467217095677, | |
| "grad_norm": 0.009112412109971046, | |
| "learning_rate": 1.0611947547353086e-06, | |
| "loss": 0.0018, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 3.7882467217095677, | |
| "eval_accuracy": 0.8787587202309358, | |
| "eval_f1_macro": 0.8287278332969615, | |
| "eval_f1_micro": 0.8787587202309358, | |
| "eval_loss": 0.6747535467147827, | |
| "eval_precision_macro": 0.8265516787617085, | |
| "eval_precision_micro": 0.8787587202309358, | |
| "eval_recall_macro": 0.8490595593522744, | |
| "eval_recall_micro": 0.8787587202309358, | |
| "eval_runtime": 78.5872, | |
| "eval_samples_per_second": 52.897, | |
| "eval_steps_per_second": 3.308, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 3.836813987372511, | |
| "grad_norm": 0.08465871959924698, | |
| "learning_rate": 8.183584264205927e-07, | |
| "loss": 0.0063, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 3.836813987372511, | |
| "eval_accuracy": 0.8802020687996152, | |
| "eval_f1_macro": 0.8275737635437894, | |
| "eval_f1_micro": 0.8802020687996152, | |
| "eval_loss": 0.6518697142601013, | |
| "eval_precision_macro": 0.8241036586009164, | |
| "eval_precision_micro": 0.8802020687996152, | |
| "eval_recall_macro": 0.8505984084112971, | |
| "eval_recall_micro": 0.8802020687996152, | |
| "eval_runtime": 78.3552, | |
| "eval_samples_per_second": 53.053, | |
| "eval_steps_per_second": 3.318, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 3.885381253035454, | |
| "grad_norm": 0.01252959668636322, | |
| "learning_rate": 5.755220981058767e-07, | |
| "loss": 0.0012, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 3.885381253035454, | |
| "eval_accuracy": 0.8816454173682945, | |
| "eval_f1_macro": 0.8325617260526238, | |
| "eval_f1_micro": 0.8816454173682945, | |
| "eval_loss": 0.6509329080581665, | |
| "eval_precision_macro": 0.8261296227157098, | |
| "eval_precision_micro": 0.8816454173682945, | |
| "eval_recall_macro": 0.8554119401439346, | |
| "eval_recall_micro": 0.8816454173682945, | |
| "eval_runtime": 78.6734, | |
| "eval_samples_per_second": 52.839, | |
| "eval_steps_per_second": 3.305, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 3.933948518698397, | |
| "grad_norm": 0.00854838639497757, | |
| "learning_rate": 3.3268576979116075e-07, | |
| "loss": 0.0062, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 3.933948518698397, | |
| "eval_accuracy": 0.8811643011787347, | |
| "eval_f1_macro": 0.8331789648254515, | |
| "eval_f1_micro": 0.8811643011787347, | |
| "eval_loss": 0.6525153517723083, | |
| "eval_precision_macro": 0.8280847186790202, | |
| "eval_precision_micro": 0.8811643011787347, | |
| "eval_recall_macro": 0.8554521062472861, | |
| "eval_recall_micro": 0.8811643011787347, | |
| "eval_runtime": 78.2235, | |
| "eval_samples_per_second": 53.143, | |
| "eval_steps_per_second": 3.324, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 3.9825157843613406, | |
| "grad_norm": 0.004602006636559963, | |
| "learning_rate": 8.984944147644487e-08, | |
| "loss": 0.0097, | |
| "step": 8200 | |
| }, | |
| { | |
| "epoch": 3.9825157843613406, | |
| "eval_accuracy": 0.8802020687996152, | |
| "eval_f1_macro": 0.832469524971897, | |
| "eval_f1_micro": 0.8802020687996152, | |
| "eval_loss": 0.6588266491889954, | |
| "eval_precision_macro": 0.8274534781731434, | |
| "eval_precision_micro": 0.8802020687996152, | |
| "eval_recall_macro": 0.8546630804582604, | |
| "eval_recall_micro": 0.8802020687996152, | |
| "eval_runtime": 78.8748, | |
| "eval_samples_per_second": 52.704, | |
| "eval_steps_per_second": 3.296, | |
| "step": 8200 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 8236, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 4, | |
| "save_steps": 100, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 3.467447932454093e+16, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |