{ "best_metric": 0.9735340476036072, "best_model_checkpoint": "./trained-race/checkpoint-6000", "epoch": 1.2910365178900776, "eval_steps": 1000, "global_step": 7000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 0.000199907783105865, "loss": 1.9311, "step": 10 }, { "epoch": 0.0, "learning_rate": 0.00019981556621172998, "loss": 1.9343, "step": 20 }, { "epoch": 0.01, "learning_rate": 0.000199723349317595, "loss": 1.8975, "step": 30 }, { "epoch": 0.01, "learning_rate": 0.00019963113242345997, "loss": 1.8981, "step": 40 }, { "epoch": 0.01, "learning_rate": 0.00019953891552932499, "loss": 1.9522, "step": 50 }, { "epoch": 0.01, "learning_rate": 0.00019944669863518997, "loss": 1.9153, "step": 60 }, { "epoch": 0.01, "learning_rate": 0.00019935448174105498, "loss": 1.9647, "step": 70 }, { "epoch": 0.01, "learning_rate": 0.00019926226484691997, "loss": 1.9187, "step": 80 }, { "epoch": 0.02, "learning_rate": 0.00019917004795278495, "loss": 1.9427, "step": 90 }, { "epoch": 0.02, "learning_rate": 0.00019907783105864993, "loss": 1.9195, "step": 100 }, { "epoch": 0.02, "learning_rate": 0.00019898561416451495, "loss": 1.904, "step": 110 }, { "epoch": 0.02, "learning_rate": 0.00019889339727037993, "loss": 1.9315, "step": 120 }, { "epoch": 0.02, "learning_rate": 0.00019880118037624494, "loss": 1.9214, "step": 130 }, { "epoch": 0.03, "learning_rate": 0.00019870896348210993, "loss": 1.912, "step": 140 }, { "epoch": 0.03, "learning_rate": 0.00019861674658797494, "loss": 1.8982, "step": 150 }, { "epoch": 0.03, "learning_rate": 0.00019852452969383992, "loss": 1.9029, "step": 160 }, { "epoch": 0.03, "learning_rate": 0.0001984323127997049, "loss": 1.8973, "step": 170 }, { "epoch": 0.03, "learning_rate": 0.0001983400959055699, "loss": 1.8583, "step": 180 }, { "epoch": 0.04, "learning_rate": 0.0001982478790114349, "loss": 1.8558, "step": 190 }, { "epoch": 0.04, "learning_rate": 0.0001981556621172999, "loss": 1.847, "step": 200 }, { "epoch": 0.04, "learning_rate": 0.0001980634452231649, "loss": 1.9305, "step": 210 }, { "epoch": 0.04, "learning_rate": 0.00019797122832902988, "loss": 1.8492, "step": 220 }, { "epoch": 0.04, "learning_rate": 0.0001978790114348949, "loss": 1.7879, "step": 230 }, { "epoch": 0.04, "learning_rate": 0.00019778679454075988, "loss": 1.8615, "step": 240 }, { "epoch": 0.05, "learning_rate": 0.00019769457764662486, "loss": 1.8273, "step": 250 }, { "epoch": 0.05, "learning_rate": 0.00019760236075248985, "loss": 1.8274, "step": 260 }, { "epoch": 0.05, "learning_rate": 0.00019751014385835486, "loss": 1.7632, "step": 270 }, { "epoch": 0.05, "learning_rate": 0.00019741792696421984, "loss": 1.7811, "step": 280 }, { "epoch": 0.05, "learning_rate": 0.00019732571007008486, "loss": 1.8604, "step": 290 }, { "epoch": 0.06, "learning_rate": 0.00019723349317594984, "loss": 1.7291, "step": 300 }, { "epoch": 0.06, "learning_rate": 0.00019714127628181485, "loss": 1.7306, "step": 310 }, { "epoch": 0.06, "learning_rate": 0.00019704905938767984, "loss": 1.6978, "step": 320 }, { "epoch": 0.06, "learning_rate": 0.00019695684249354482, "loss": 1.6819, "step": 330 }, { "epoch": 0.06, "learning_rate": 0.0001968646255994098, "loss": 1.6954, "step": 340 }, { "epoch": 0.06, "learning_rate": 0.00019677240870527482, "loss": 1.6832, "step": 350 }, { "epoch": 0.07, "learning_rate": 0.0001966801918111398, "loss": 1.6946, "step": 360 }, { "epoch": 0.07, "learning_rate": 0.0001965879749170048, "loss": 1.7065, "step": 370 }, { "epoch": 0.07, "learning_rate": 0.0001964957580228698, "loss": 1.7084, "step": 380 }, { "epoch": 0.07, "learning_rate": 0.0001964035411287348, "loss": 1.6407, "step": 390 }, { "epoch": 0.07, "learning_rate": 0.0001963113242345998, "loss": 1.6504, "step": 400 }, { "epoch": 0.08, "learning_rate": 0.00019621910734046478, "loss": 1.6955, "step": 410 }, { "epoch": 0.08, "learning_rate": 0.00019612689044632976, "loss": 1.614, "step": 420 }, { "epoch": 0.08, "learning_rate": 0.00019603467355219477, "loss": 1.6316, "step": 430 }, { "epoch": 0.08, "learning_rate": 0.00019594245665805976, "loss": 1.6805, "step": 440 }, { "epoch": 0.08, "learning_rate": 0.00019585023976392477, "loss": 1.6991, "step": 450 }, { "epoch": 0.08, "learning_rate": 0.00019575802286978975, "loss": 1.6206, "step": 460 }, { "epoch": 0.09, "learning_rate": 0.00019566580597565476, "loss": 1.61, "step": 470 }, { "epoch": 0.09, "learning_rate": 0.00019557358908151975, "loss": 1.5979, "step": 480 }, { "epoch": 0.09, "learning_rate": 0.00019548137218738473, "loss": 1.5641, "step": 490 }, { "epoch": 0.09, "learning_rate": 0.00019538915529324972, "loss": 1.5262, "step": 500 }, { "epoch": 0.09, "learning_rate": 0.00019529693839911473, "loss": 1.5829, "step": 510 }, { "epoch": 0.1, "learning_rate": 0.00019520472150497971, "loss": 1.5651, "step": 520 }, { "epoch": 0.1, "learning_rate": 0.00019511250461084473, "loss": 1.4893, "step": 530 }, { "epoch": 0.1, "learning_rate": 0.0001950202877167097, "loss": 1.5484, "step": 540 }, { "epoch": 0.1, "learning_rate": 0.00019492807082257472, "loss": 1.6023, "step": 550 }, { "epoch": 0.1, "learning_rate": 0.0001948358539284397, "loss": 1.5247, "step": 560 }, { "epoch": 0.11, "learning_rate": 0.0001947436370343047, "loss": 1.5557, "step": 570 }, { "epoch": 0.11, "learning_rate": 0.00019465142014016967, "loss": 1.5436, "step": 580 }, { "epoch": 0.11, "learning_rate": 0.00019455920324603469, "loss": 1.5785, "step": 590 }, { "epoch": 0.11, "learning_rate": 0.00019446698635189967, "loss": 1.46, "step": 600 }, { "epoch": 0.11, "learning_rate": 0.00019437476945776468, "loss": 1.5288, "step": 610 }, { "epoch": 0.11, "learning_rate": 0.00019428255256362967, "loss": 1.5961, "step": 620 }, { "epoch": 0.12, "learning_rate": 0.00019419033566949468, "loss": 1.5424, "step": 630 }, { "epoch": 0.12, "learning_rate": 0.00019409811877535966, "loss": 1.5676, "step": 640 }, { "epoch": 0.12, "learning_rate": 0.00019400590188122465, "loss": 1.3499, "step": 650 }, { "epoch": 0.12, "learning_rate": 0.00019391368498708963, "loss": 1.5598, "step": 660 }, { "epoch": 0.12, "learning_rate": 0.00019382146809295462, "loss": 1.4925, "step": 670 }, { "epoch": 0.13, "learning_rate": 0.00019372925119881963, "loss": 1.5498, "step": 680 }, { "epoch": 0.13, "learning_rate": 0.00019363703430468464, "loss": 1.554, "step": 690 }, { "epoch": 0.13, "learning_rate": 0.00019354481741054962, "loss": 1.4787, "step": 700 }, { "epoch": 0.13, "learning_rate": 0.0001934526005164146, "loss": 1.4307, "step": 710 }, { "epoch": 0.13, "learning_rate": 0.00019336038362227962, "loss": 1.5175, "step": 720 }, { "epoch": 0.13, "learning_rate": 0.0001932681667281446, "loss": 1.4994, "step": 730 }, { "epoch": 0.14, "learning_rate": 0.0001931759498340096, "loss": 1.438, "step": 740 }, { "epoch": 0.14, "learning_rate": 0.00019308373293987457, "loss": 1.5305, "step": 750 }, { "epoch": 0.14, "learning_rate": 0.00019299151604573958, "loss": 1.4894, "step": 760 }, { "epoch": 0.14, "learning_rate": 0.0001928992991516046, "loss": 1.5254, "step": 770 }, { "epoch": 0.14, "learning_rate": 0.00019280708225746958, "loss": 1.5126, "step": 780 }, { "epoch": 0.15, "learning_rate": 0.00019271486536333456, "loss": 1.494, "step": 790 }, { "epoch": 0.15, "learning_rate": 0.00019262264846919958, "loss": 1.4631, "step": 800 }, { "epoch": 0.15, "learning_rate": 0.00019253043157506456, "loss": 1.4475, "step": 810 }, { "epoch": 0.15, "learning_rate": 0.00019243821468092954, "loss": 1.464, "step": 820 }, { "epoch": 0.15, "learning_rate": 0.00019234599778679453, "loss": 1.467, "step": 830 }, { "epoch": 0.15, "learning_rate": 0.00019225378089265954, "loss": 1.5009, "step": 840 }, { "epoch": 0.16, "learning_rate": 0.00019216156399852455, "loss": 1.4757, "step": 850 }, { "epoch": 0.16, "learning_rate": 0.00019206934710438954, "loss": 1.42, "step": 860 }, { "epoch": 0.16, "learning_rate": 0.00019197713021025452, "loss": 1.4745, "step": 870 }, { "epoch": 0.16, "learning_rate": 0.00019188491331611953, "loss": 1.5148, "step": 880 }, { "epoch": 0.16, "learning_rate": 0.00019179269642198452, "loss": 1.5142, "step": 890 }, { "epoch": 0.17, "learning_rate": 0.0001917004795278495, "loss": 1.4381, "step": 900 }, { "epoch": 0.17, "learning_rate": 0.00019160826263371449, "loss": 1.5292, "step": 910 }, { "epoch": 0.17, "learning_rate": 0.0001915160457395795, "loss": 1.4648, "step": 920 }, { "epoch": 0.17, "learning_rate": 0.0001914238288454445, "loss": 1.3709, "step": 930 }, { "epoch": 0.17, "learning_rate": 0.0001913316119513095, "loss": 1.4339, "step": 940 }, { "epoch": 0.18, "learning_rate": 0.00019123939505717448, "loss": 1.5764, "step": 950 }, { "epoch": 0.18, "learning_rate": 0.0001911471781630395, "loss": 1.5241, "step": 960 }, { "epoch": 0.18, "learning_rate": 0.00019105496126890447, "loss": 1.4616, "step": 970 }, { "epoch": 0.18, "learning_rate": 0.00019096274437476946, "loss": 1.5148, "step": 980 }, { "epoch": 0.18, "learning_rate": 0.00019087052748063444, "loss": 1.388, "step": 990 }, { "epoch": 0.18, "learning_rate": 0.00019077831058649945, "loss": 1.3923, "step": 1000 }, { "epoch": 0.18, "eval_accuracy": 0.4712433814131824, "eval_loss": 1.3549572229385376, "eval_runtime": 122.2367, "eval_samples_per_second": 89.613, "eval_steps_per_second": 11.208, "step": 1000 }, { "epoch": 0.19, "learning_rate": 0.00019068609369236446, "loss": 1.284, "step": 1010 }, { "epoch": 0.19, "learning_rate": 0.00019059387679822945, "loss": 1.4557, "step": 1020 }, { "epoch": 0.19, "learning_rate": 0.00019050165990409443, "loss": 1.4595, "step": 1030 }, { "epoch": 0.19, "learning_rate": 0.00019040944300995944, "loss": 1.407, "step": 1040 }, { "epoch": 0.19, "learning_rate": 0.00019031722611582443, "loss": 1.4021, "step": 1050 }, { "epoch": 0.2, "learning_rate": 0.00019022500922168941, "loss": 1.4146, "step": 1060 }, { "epoch": 0.2, "learning_rate": 0.0001901327923275544, "loss": 1.4545, "step": 1070 }, { "epoch": 0.2, "learning_rate": 0.0001900405754334194, "loss": 1.4221, "step": 1080 }, { "epoch": 0.2, "learning_rate": 0.00018994835853928442, "loss": 1.3611, "step": 1090 }, { "epoch": 0.2, "learning_rate": 0.0001898561416451494, "loss": 1.3804, "step": 1100 }, { "epoch": 0.2, "learning_rate": 0.0001897639247510144, "loss": 1.4154, "step": 1110 }, { "epoch": 0.21, "learning_rate": 0.0001896717078568794, "loss": 1.4518, "step": 1120 }, { "epoch": 0.21, "learning_rate": 0.00018957949096274439, "loss": 1.4067, "step": 1130 }, { "epoch": 0.21, "learning_rate": 0.00018948727406860937, "loss": 1.4508, "step": 1140 }, { "epoch": 0.21, "learning_rate": 0.00018939505717447435, "loss": 1.4314, "step": 1150 }, { "epoch": 0.21, "learning_rate": 0.00018930284028033937, "loss": 1.5236, "step": 1160 }, { "epoch": 0.22, "learning_rate": 0.00018921062338620438, "loss": 1.316, "step": 1170 }, { "epoch": 0.22, "learning_rate": 0.00018911840649206936, "loss": 1.3257, "step": 1180 }, { "epoch": 0.22, "learning_rate": 0.00018902618959793435, "loss": 1.3265, "step": 1190 }, { "epoch": 0.22, "learning_rate": 0.00018893397270379936, "loss": 1.3838, "step": 1200 }, { "epoch": 0.22, "learning_rate": 0.00018884175580966434, "loss": 1.4393, "step": 1210 }, { "epoch": 0.23, "learning_rate": 0.00018874953891552933, "loss": 1.3445, "step": 1220 }, { "epoch": 0.23, "learning_rate": 0.0001886573220213943, "loss": 1.4052, "step": 1230 }, { "epoch": 0.23, "learning_rate": 0.00018856510512725932, "loss": 1.2619, "step": 1240 }, { "epoch": 0.23, "learning_rate": 0.00018847288823312433, "loss": 1.3889, "step": 1250 }, { "epoch": 0.23, "learning_rate": 0.00018838067133898932, "loss": 1.437, "step": 1260 }, { "epoch": 0.23, "learning_rate": 0.0001882884544448543, "loss": 1.5375, "step": 1270 }, { "epoch": 0.24, "learning_rate": 0.0001881962375507193, "loss": 1.3839, "step": 1280 }, { "epoch": 0.24, "learning_rate": 0.0001881040206565843, "loss": 1.4516, "step": 1290 }, { "epoch": 0.24, "learning_rate": 0.00018801180376244928, "loss": 1.3111, "step": 1300 }, { "epoch": 0.24, "learning_rate": 0.00018791958686831427, "loss": 1.3132, "step": 1310 }, { "epoch": 0.24, "learning_rate": 0.00018782736997417928, "loss": 1.3196, "step": 1320 }, { "epoch": 0.25, "learning_rate": 0.0001877351530800443, "loss": 1.3394, "step": 1330 }, { "epoch": 0.25, "learning_rate": 0.00018764293618590928, "loss": 1.3878, "step": 1340 }, { "epoch": 0.25, "learning_rate": 0.00018755071929177426, "loss": 1.2435, "step": 1350 }, { "epoch": 0.25, "learning_rate": 0.00018745850239763924, "loss": 1.2658, "step": 1360 }, { "epoch": 0.25, "learning_rate": 0.00018736628550350426, "loss": 1.3483, "step": 1370 }, { "epoch": 0.25, "learning_rate": 0.00018727406860936924, "loss": 1.1869, "step": 1380 }, { "epoch": 0.26, "learning_rate": 0.00018718185171523422, "loss": 1.4338, "step": 1390 }, { "epoch": 0.26, "learning_rate": 0.00018708963482109924, "loss": 1.2685, "step": 1400 }, { "epoch": 0.26, "learning_rate": 0.00018699741792696425, "loss": 1.3697, "step": 1410 }, { "epoch": 0.26, "learning_rate": 0.00018690520103282923, "loss": 1.3155, "step": 1420 }, { "epoch": 0.26, "learning_rate": 0.00018681298413869422, "loss": 1.2973, "step": 1430 }, { "epoch": 0.27, "learning_rate": 0.0001867207672445592, "loss": 1.3834, "step": 1440 }, { "epoch": 0.27, "learning_rate": 0.0001866285503504242, "loss": 1.3675, "step": 1450 }, { "epoch": 0.27, "learning_rate": 0.0001865363334562892, "loss": 1.3011, "step": 1460 }, { "epoch": 0.27, "learning_rate": 0.00018644411656215418, "loss": 1.3678, "step": 1470 }, { "epoch": 0.27, "learning_rate": 0.0001863518996680192, "loss": 1.2867, "step": 1480 }, { "epoch": 0.27, "learning_rate": 0.0001862596827738842, "loss": 1.4809, "step": 1490 }, { "epoch": 0.28, "learning_rate": 0.0001861674658797492, "loss": 1.3059, "step": 1500 }, { "epoch": 0.28, "learning_rate": 0.00018607524898561417, "loss": 1.3512, "step": 1510 }, { "epoch": 0.28, "learning_rate": 0.00018598303209147916, "loss": 1.286, "step": 1520 }, { "epoch": 0.28, "learning_rate": 0.00018589081519734417, "loss": 1.1932, "step": 1530 }, { "epoch": 0.28, "learning_rate": 0.00018579859830320915, "loss": 1.4473, "step": 1540 }, { "epoch": 0.29, "learning_rate": 0.00018570638140907414, "loss": 1.4182, "step": 1550 }, { "epoch": 0.29, "learning_rate": 0.00018561416451493915, "loss": 1.307, "step": 1560 }, { "epoch": 0.29, "learning_rate": 0.00018552194762080416, "loss": 1.339, "step": 1570 }, { "epoch": 0.29, "learning_rate": 0.00018542973072666915, "loss": 1.2848, "step": 1580 }, { "epoch": 0.29, "learning_rate": 0.00018533751383253413, "loss": 1.3017, "step": 1590 }, { "epoch": 0.3, "learning_rate": 0.00018524529693839911, "loss": 1.2994, "step": 1600 }, { "epoch": 0.3, "learning_rate": 0.00018515308004426413, "loss": 1.3071, "step": 1610 }, { "epoch": 0.3, "learning_rate": 0.0001850608631501291, "loss": 1.2706, "step": 1620 }, { "epoch": 0.3, "learning_rate": 0.0001849686462559941, "loss": 1.145, "step": 1630 }, { "epoch": 0.3, "learning_rate": 0.0001848764293618591, "loss": 1.2857, "step": 1640 }, { "epoch": 0.3, "learning_rate": 0.00018478421246772412, "loss": 1.3054, "step": 1650 }, { "epoch": 0.31, "learning_rate": 0.0001846919955735891, "loss": 1.3772, "step": 1660 }, { "epoch": 0.31, "learning_rate": 0.00018459977867945409, "loss": 1.2635, "step": 1670 }, { "epoch": 0.31, "learning_rate": 0.00018450756178531907, "loss": 1.3705, "step": 1680 }, { "epoch": 0.31, "learning_rate": 0.00018441534489118408, "loss": 1.162, "step": 1690 }, { "epoch": 0.31, "learning_rate": 0.00018432312799704907, "loss": 1.3012, "step": 1700 }, { "epoch": 0.32, "learning_rate": 0.00018423091110291405, "loss": 1.2083, "step": 1710 }, { "epoch": 0.32, "learning_rate": 0.00018413869420877906, "loss": 1.326, "step": 1720 }, { "epoch": 0.32, "learning_rate": 0.00018404647731464407, "loss": 1.3899, "step": 1730 }, { "epoch": 0.32, "learning_rate": 0.00018395426042050906, "loss": 1.181, "step": 1740 }, { "epoch": 0.32, "learning_rate": 0.00018386204352637404, "loss": 1.1826, "step": 1750 }, { "epoch": 0.32, "learning_rate": 0.00018376982663223903, "loss": 1.1729, "step": 1760 }, { "epoch": 0.33, "learning_rate": 0.00018367760973810404, "loss": 1.2711, "step": 1770 }, { "epoch": 0.33, "learning_rate": 0.00018358539284396902, "loss": 1.315, "step": 1780 }, { "epoch": 0.33, "learning_rate": 0.000183493175949834, "loss": 1.148, "step": 1790 }, { "epoch": 0.33, "learning_rate": 0.00018340095905569902, "loss": 1.2593, "step": 1800 }, { "epoch": 0.33, "learning_rate": 0.00018330874216156403, "loss": 1.2976, "step": 1810 }, { "epoch": 0.34, "learning_rate": 0.00018321652526742901, "loss": 1.2881, "step": 1820 }, { "epoch": 0.34, "learning_rate": 0.000183124308373294, "loss": 1.3599, "step": 1830 }, { "epoch": 0.34, "learning_rate": 0.00018303209147915898, "loss": 1.2229, "step": 1840 }, { "epoch": 0.34, "learning_rate": 0.000182939874585024, "loss": 1.3619, "step": 1850 }, { "epoch": 0.34, "learning_rate": 0.00018284765769088898, "loss": 1.3544, "step": 1860 }, { "epoch": 0.34, "learning_rate": 0.00018275544079675396, "loss": 1.2638, "step": 1870 }, { "epoch": 0.35, "learning_rate": 0.00018266322390261898, "loss": 1.2945, "step": 1880 }, { "epoch": 0.35, "learning_rate": 0.000182571007008484, "loss": 1.3415, "step": 1890 }, { "epoch": 0.35, "learning_rate": 0.00018247879011434897, "loss": 1.183, "step": 1900 }, { "epoch": 0.35, "learning_rate": 0.00018238657322021396, "loss": 1.2773, "step": 1910 }, { "epoch": 0.35, "learning_rate": 0.00018229435632607894, "loss": 1.1919, "step": 1920 }, { "epoch": 0.36, "learning_rate": 0.00018220213943194392, "loss": 1.261, "step": 1930 }, { "epoch": 0.36, "learning_rate": 0.00018210992253780894, "loss": 1.2249, "step": 1940 }, { "epoch": 0.36, "learning_rate": 0.00018201770564367392, "loss": 1.2595, "step": 1950 }, { "epoch": 0.36, "learning_rate": 0.00018192548874953893, "loss": 1.3309, "step": 1960 }, { "epoch": 0.36, "learning_rate": 0.00018183327185540392, "loss": 1.257, "step": 1970 }, { "epoch": 0.37, "learning_rate": 0.00018174105496126893, "loss": 1.192, "step": 1980 }, { "epoch": 0.37, "learning_rate": 0.0001816488380671339, "loss": 1.3217, "step": 1990 }, { "epoch": 0.37, "learning_rate": 0.0001815566211729989, "loss": 1.1517, "step": 2000 }, { "epoch": 0.37, "eval_accuracy": 0.542906700748585, "eval_loss": 1.1854346990585327, "eval_runtime": 126.3339, "eval_samples_per_second": 86.707, "eval_steps_per_second": 10.844, "step": 2000 }, { "epoch": 0.37, "learning_rate": 0.00018146440427886388, "loss": 1.341, "step": 2010 }, { "epoch": 0.37, "learning_rate": 0.0001813721873847289, "loss": 1.2821, "step": 2020 }, { "epoch": 0.37, "learning_rate": 0.00018127997049059388, "loss": 1.1611, "step": 2030 }, { "epoch": 0.38, "learning_rate": 0.0001811877535964589, "loss": 1.3677, "step": 2040 }, { "epoch": 0.38, "learning_rate": 0.00018109553670232387, "loss": 1.2404, "step": 2050 }, { "epoch": 0.38, "learning_rate": 0.00018100331980818888, "loss": 1.2254, "step": 2060 }, { "epoch": 0.38, "learning_rate": 0.00018091110291405387, "loss": 1.2725, "step": 2070 }, { "epoch": 0.38, "learning_rate": 0.00018081888601991885, "loss": 1.1464, "step": 2080 }, { "epoch": 0.39, "learning_rate": 0.00018072666912578384, "loss": 1.1734, "step": 2090 }, { "epoch": 0.39, "learning_rate": 0.00018063445223164885, "loss": 1.1245, "step": 2100 }, { "epoch": 0.39, "learning_rate": 0.00018054223533751383, "loss": 1.1582, "step": 2110 }, { "epoch": 0.39, "learning_rate": 0.00018045001844337885, "loss": 1.2142, "step": 2120 }, { "epoch": 0.39, "learning_rate": 0.00018035780154924383, "loss": 1.2711, "step": 2130 }, { "epoch": 0.39, "learning_rate": 0.00018026558465510884, "loss": 1.3327, "step": 2140 }, { "epoch": 0.4, "learning_rate": 0.00018017336776097383, "loss": 1.2079, "step": 2150 }, { "epoch": 0.4, "learning_rate": 0.0001800811508668388, "loss": 1.1706, "step": 2160 }, { "epoch": 0.4, "learning_rate": 0.0001799889339727038, "loss": 1.1698, "step": 2170 }, { "epoch": 0.4, "learning_rate": 0.0001798967170785688, "loss": 1.2074, "step": 2180 }, { "epoch": 0.4, "learning_rate": 0.0001798045001844338, "loss": 1.2119, "step": 2190 }, { "epoch": 0.41, "learning_rate": 0.0001797122832902988, "loss": 1.1896, "step": 2200 }, { "epoch": 0.41, "learning_rate": 0.00017962006639616379, "loss": 1.2365, "step": 2210 }, { "epoch": 0.41, "learning_rate": 0.0001795278495020288, "loss": 1.323, "step": 2220 }, { "epoch": 0.41, "learning_rate": 0.00017943563260789378, "loss": 1.2933, "step": 2230 }, { "epoch": 0.41, "learning_rate": 0.00017934341571375877, "loss": 1.1775, "step": 2240 }, { "epoch": 0.41, "learning_rate": 0.00017925119881962375, "loss": 1.2442, "step": 2250 }, { "epoch": 0.42, "learning_rate": 0.00017915898192548876, "loss": 1.3, "step": 2260 }, { "epoch": 0.42, "learning_rate": 0.00017906676503135375, "loss": 1.22, "step": 2270 }, { "epoch": 0.42, "learning_rate": 0.00017897454813721876, "loss": 1.2115, "step": 2280 }, { "epoch": 0.42, "learning_rate": 0.00017888233124308374, "loss": 1.3042, "step": 2290 }, { "epoch": 0.42, "learning_rate": 0.00017879011434894875, "loss": 1.2358, "step": 2300 }, { "epoch": 0.43, "learning_rate": 0.00017869789745481374, "loss": 1.2809, "step": 2310 }, { "epoch": 0.43, "learning_rate": 0.00017860568056067872, "loss": 1.1334, "step": 2320 }, { "epoch": 0.43, "learning_rate": 0.0001785134636665437, "loss": 1.1954, "step": 2330 }, { "epoch": 0.43, "learning_rate": 0.00017842124677240872, "loss": 1.244, "step": 2340 }, { "epoch": 0.43, "learning_rate": 0.0001783290298782737, "loss": 1.1654, "step": 2350 }, { "epoch": 0.44, "learning_rate": 0.00017823681298413871, "loss": 1.3566, "step": 2360 }, { "epoch": 0.44, "learning_rate": 0.0001781445960900037, "loss": 1.2221, "step": 2370 }, { "epoch": 0.44, "learning_rate": 0.0001780523791958687, "loss": 1.17, "step": 2380 }, { "epoch": 0.44, "learning_rate": 0.0001779601623017337, "loss": 1.1051, "step": 2390 }, { "epoch": 0.44, "learning_rate": 0.00017786794540759868, "loss": 1.1471, "step": 2400 }, { "epoch": 0.44, "learning_rate": 0.00017777572851346366, "loss": 1.2296, "step": 2410 }, { "epoch": 0.45, "learning_rate": 0.00017768351161932868, "loss": 1.1297, "step": 2420 }, { "epoch": 0.45, "learning_rate": 0.00017759129472519366, "loss": 1.121, "step": 2430 }, { "epoch": 0.45, "learning_rate": 0.00017749907783105864, "loss": 1.2452, "step": 2440 }, { "epoch": 0.45, "learning_rate": 0.00017740686093692366, "loss": 1.1179, "step": 2450 }, { "epoch": 0.45, "learning_rate": 0.00017731464404278867, "loss": 1.2149, "step": 2460 }, { "epoch": 0.46, "learning_rate": 0.00017722242714865365, "loss": 1.3841, "step": 2470 }, { "epoch": 0.46, "learning_rate": 0.00017713021025451864, "loss": 1.0781, "step": 2480 }, { "epoch": 0.46, "learning_rate": 0.00017703799336038362, "loss": 1.131, "step": 2490 }, { "epoch": 0.46, "learning_rate": 0.00017694577646624863, "loss": 1.1564, "step": 2500 }, { "epoch": 0.46, "learning_rate": 0.00017685355957211362, "loss": 1.3496, "step": 2510 }, { "epoch": 0.46, "learning_rate": 0.0001767613426779786, "loss": 1.1891, "step": 2520 }, { "epoch": 0.47, "learning_rate": 0.0001766691257838436, "loss": 1.1885, "step": 2530 }, { "epoch": 0.47, "learning_rate": 0.0001765769088897086, "loss": 1.2286, "step": 2540 }, { "epoch": 0.47, "learning_rate": 0.0001764846919955736, "loss": 1.1168, "step": 2550 }, { "epoch": 0.47, "learning_rate": 0.0001763924751014386, "loss": 1.1179, "step": 2560 }, { "epoch": 0.47, "learning_rate": 0.00017630025820730358, "loss": 1.2774, "step": 2570 }, { "epoch": 0.48, "learning_rate": 0.00017620804131316856, "loss": 1.0531, "step": 2580 }, { "epoch": 0.48, "learning_rate": 0.00017611582441903357, "loss": 1.1173, "step": 2590 }, { "epoch": 0.48, "learning_rate": 0.00017602360752489856, "loss": 1.0213, "step": 2600 }, { "epoch": 0.48, "learning_rate": 0.00017593139063076357, "loss": 1.2386, "step": 2610 }, { "epoch": 0.48, "learning_rate": 0.00017583917373662855, "loss": 1.2678, "step": 2620 }, { "epoch": 0.49, "learning_rate": 0.00017574695684249356, "loss": 1.1628, "step": 2630 }, { "epoch": 0.49, "learning_rate": 0.00017565473994835855, "loss": 1.2776, "step": 2640 }, { "epoch": 0.49, "learning_rate": 0.00017556252305422353, "loss": 1.1933, "step": 2650 }, { "epoch": 0.49, "learning_rate": 0.00017547030616008852, "loss": 1.2358, "step": 2660 }, { "epoch": 0.49, "learning_rate": 0.00017537808926595353, "loss": 1.2386, "step": 2670 }, { "epoch": 0.49, "learning_rate": 0.00017528587237181851, "loss": 1.1417, "step": 2680 }, { "epoch": 0.5, "learning_rate": 0.00017519365547768353, "loss": 1.0075, "step": 2690 }, { "epoch": 0.5, "learning_rate": 0.0001751014385835485, "loss": 1.1555, "step": 2700 }, { "epoch": 0.5, "learning_rate": 0.00017500922168941352, "loss": 1.1165, "step": 2710 }, { "epoch": 0.5, "learning_rate": 0.0001749170047952785, "loss": 1.0834, "step": 2720 }, { "epoch": 0.5, "learning_rate": 0.0001748247879011435, "loss": 1.2018, "step": 2730 }, { "epoch": 0.51, "learning_rate": 0.00017473257100700847, "loss": 1.2317, "step": 2740 }, { "epoch": 0.51, "learning_rate": 0.00017464035411287349, "loss": 1.0835, "step": 2750 }, { "epoch": 0.51, "learning_rate": 0.00017454813721873847, "loss": 1.0597, "step": 2760 }, { "epoch": 0.51, "learning_rate": 0.00017445592032460348, "loss": 1.1273, "step": 2770 }, { "epoch": 0.51, "learning_rate": 0.00017436370343046847, "loss": 1.2129, "step": 2780 }, { "epoch": 0.51, "learning_rate": 0.00017427148653633348, "loss": 1.1203, "step": 2790 }, { "epoch": 0.52, "learning_rate": 0.00017417926964219846, "loss": 1.1888, "step": 2800 }, { "epoch": 0.52, "learning_rate": 0.00017408705274806345, "loss": 1.0844, "step": 2810 }, { "epoch": 0.52, "learning_rate": 0.00017399483585392843, "loss": 1.1399, "step": 2820 }, { "epoch": 0.52, "learning_rate": 0.00017390261895979344, "loss": 1.1722, "step": 2830 }, { "epoch": 0.52, "learning_rate": 0.00017381040206565843, "loss": 1.2428, "step": 2840 }, { "epoch": 0.53, "learning_rate": 0.00017371818517152344, "loss": 1.2814, "step": 2850 }, { "epoch": 0.53, "learning_rate": 0.00017362596827738842, "loss": 1.2116, "step": 2860 }, { "epoch": 0.53, "learning_rate": 0.00017353375138325343, "loss": 1.2042, "step": 2870 }, { "epoch": 0.53, "learning_rate": 0.00017344153448911842, "loss": 1.1697, "step": 2880 }, { "epoch": 0.53, "learning_rate": 0.0001733493175949834, "loss": 1.1725, "step": 2890 }, { "epoch": 0.53, "learning_rate": 0.0001732571007008484, "loss": 1.1638, "step": 2900 }, { "epoch": 0.54, "learning_rate": 0.0001731648838067134, "loss": 1.0388, "step": 2910 }, { "epoch": 0.54, "learning_rate": 0.00017307266691257838, "loss": 1.0281, "step": 2920 }, { "epoch": 0.54, "learning_rate": 0.0001729804500184434, "loss": 1.2847, "step": 2930 }, { "epoch": 0.54, "learning_rate": 0.00017288823312430838, "loss": 1.209, "step": 2940 }, { "epoch": 0.54, "learning_rate": 0.0001727960162301734, "loss": 1.1142, "step": 2950 }, { "epoch": 0.55, "learning_rate": 0.00017270379933603838, "loss": 1.1787, "step": 2960 }, { "epoch": 0.55, "learning_rate": 0.00017261158244190336, "loss": 1.2029, "step": 2970 }, { "epoch": 0.55, "learning_rate": 0.00017251936554776834, "loss": 1.1592, "step": 2980 }, { "epoch": 0.55, "learning_rate": 0.00017242714865363336, "loss": 1.1981, "step": 2990 }, { "epoch": 0.55, "learning_rate": 0.00017233493175949834, "loss": 1.2405, "step": 3000 }, { "epoch": 0.55, "eval_accuracy": 0.5754062442943217, "eval_loss": 1.1000522375106812, "eval_runtime": 124.477, "eval_samples_per_second": 88.0, "eval_steps_per_second": 11.006, "step": 3000 }, { "epoch": 0.56, "learning_rate": 0.00017224271486536335, "loss": 1.1386, "step": 3010 }, { "epoch": 0.56, "learning_rate": 0.00017215049797122834, "loss": 1.2092, "step": 3020 }, { "epoch": 0.56, "learning_rate": 0.00017205828107709335, "loss": 1.1733, "step": 3030 }, { "epoch": 0.56, "learning_rate": 0.00017196606418295833, "loss": 1.1995, "step": 3040 }, { "epoch": 0.56, "learning_rate": 0.00017187384728882332, "loss": 1.0821, "step": 3050 }, { "epoch": 0.56, "learning_rate": 0.0001717816303946883, "loss": 1.0531, "step": 3060 }, { "epoch": 0.57, "learning_rate": 0.0001716894135005533, "loss": 1.2004, "step": 3070 }, { "epoch": 0.57, "learning_rate": 0.0001715971966064183, "loss": 1.1088, "step": 3080 }, { "epoch": 0.57, "learning_rate": 0.0001715049797122833, "loss": 1.0533, "step": 3090 }, { "epoch": 0.57, "learning_rate": 0.0001714127628181483, "loss": 1.0653, "step": 3100 }, { "epoch": 0.57, "learning_rate": 0.0001713205459240133, "loss": 1.1108, "step": 3110 }, { "epoch": 0.58, "learning_rate": 0.0001712283290298783, "loss": 1.178, "step": 3120 }, { "epoch": 0.58, "learning_rate": 0.00017113611213574327, "loss": 1.1763, "step": 3130 }, { "epoch": 0.58, "learning_rate": 0.00017104389524160826, "loss": 1.141, "step": 3140 }, { "epoch": 0.58, "learning_rate": 0.00017095167834747327, "loss": 1.1975, "step": 3150 }, { "epoch": 0.58, "learning_rate": 0.00017085946145333825, "loss": 1.1847, "step": 3160 }, { "epoch": 0.58, "learning_rate": 0.00017076724455920326, "loss": 1.1939, "step": 3170 }, { "epoch": 0.59, "learning_rate": 0.00017067502766506825, "loss": 1.0105, "step": 3180 }, { "epoch": 0.59, "learning_rate": 0.00017058281077093323, "loss": 1.0546, "step": 3190 }, { "epoch": 0.59, "learning_rate": 0.00017049059387679825, "loss": 1.0908, "step": 3200 }, { "epoch": 0.59, "learning_rate": 0.00017039837698266323, "loss": 1.1299, "step": 3210 }, { "epoch": 0.59, "learning_rate": 0.00017030616008852821, "loss": 1.0098, "step": 3220 }, { "epoch": 0.6, "learning_rate": 0.0001702139431943932, "loss": 0.9716, "step": 3230 }, { "epoch": 0.6, "learning_rate": 0.0001701217263002582, "loss": 0.9999, "step": 3240 }, { "epoch": 0.6, "learning_rate": 0.00017002950940612322, "loss": 1.2419, "step": 3250 }, { "epoch": 0.6, "learning_rate": 0.0001699372925119882, "loss": 1.1793, "step": 3260 }, { "epoch": 0.6, "learning_rate": 0.0001698450756178532, "loss": 1.2514, "step": 3270 }, { "epoch": 0.6, "learning_rate": 0.0001697528587237182, "loss": 1.1153, "step": 3280 }, { "epoch": 0.61, "learning_rate": 0.00016966064182958319, "loss": 1.0835, "step": 3290 }, { "epoch": 0.61, "learning_rate": 0.00016956842493544817, "loss": 1.2449, "step": 3300 }, { "epoch": 0.61, "learning_rate": 0.00016947620804131316, "loss": 1.2485, "step": 3310 }, { "epoch": 0.61, "learning_rate": 0.00016938399114717817, "loss": 1.1262, "step": 3320 }, { "epoch": 0.61, "learning_rate": 0.00016929177425304318, "loss": 1.0698, "step": 3330 }, { "epoch": 0.62, "learning_rate": 0.00016919955735890816, "loss": 1.2953, "step": 3340 }, { "epoch": 0.62, "learning_rate": 0.00016910734046477315, "loss": 1.1252, "step": 3350 }, { "epoch": 0.62, "learning_rate": 0.00016901512357063816, "loss": 1.0458, "step": 3360 }, { "epoch": 0.62, "learning_rate": 0.00016892290667650314, "loss": 1.0711, "step": 3370 }, { "epoch": 0.62, "learning_rate": 0.00016883068978236813, "loss": 0.9858, "step": 3380 }, { "epoch": 0.63, "learning_rate": 0.0001687384728882331, "loss": 1.1255, "step": 3390 }, { "epoch": 0.63, "learning_rate": 0.00016864625599409812, "loss": 1.0602, "step": 3400 }, { "epoch": 0.63, "learning_rate": 0.00016855403909996313, "loss": 1.0577, "step": 3410 }, { "epoch": 0.63, "learning_rate": 0.00016846182220582812, "loss": 0.9538, "step": 3420 }, { "epoch": 0.63, "learning_rate": 0.0001683696053116931, "loss": 1.1133, "step": 3430 }, { "epoch": 0.63, "learning_rate": 0.00016827738841755812, "loss": 1.0922, "step": 3440 }, { "epoch": 0.64, "learning_rate": 0.0001681851715234231, "loss": 1.0721, "step": 3450 }, { "epoch": 0.64, "learning_rate": 0.00016809295462928808, "loss": 1.1623, "step": 3460 }, { "epoch": 0.64, "learning_rate": 0.00016800073773515307, "loss": 1.1213, "step": 3470 }, { "epoch": 0.64, "learning_rate": 0.00016790852084101808, "loss": 1.0135, "step": 3480 }, { "epoch": 0.64, "learning_rate": 0.0001678163039468831, "loss": 1.1734, "step": 3490 }, { "epoch": 0.65, "learning_rate": 0.00016772408705274808, "loss": 1.0526, "step": 3500 }, { "epoch": 0.65, "learning_rate": 0.00016763187015861306, "loss": 1.2612, "step": 3510 }, { "epoch": 0.65, "learning_rate": 0.00016753965326447807, "loss": 1.2208, "step": 3520 }, { "epoch": 0.65, "learning_rate": 0.00016744743637034306, "loss": 1.1383, "step": 3530 }, { "epoch": 0.65, "learning_rate": 0.00016735521947620804, "loss": 1.1412, "step": 3540 }, { "epoch": 0.65, "learning_rate": 0.00016726300258207302, "loss": 1.1812, "step": 3550 }, { "epoch": 0.66, "learning_rate": 0.00016717078568793804, "loss": 0.9988, "step": 3560 }, { "epoch": 0.66, "learning_rate": 0.00016707856879380305, "loss": 0.9636, "step": 3570 }, { "epoch": 0.66, "learning_rate": 0.00016698635189966803, "loss": 1.1679, "step": 3580 }, { "epoch": 0.66, "learning_rate": 0.00016689413500553302, "loss": 1.0586, "step": 3590 }, { "epoch": 0.66, "learning_rate": 0.00016680191811139803, "loss": 1.0734, "step": 3600 }, { "epoch": 0.67, "learning_rate": 0.000166709701217263, "loss": 1.108, "step": 3610 }, { "epoch": 0.67, "learning_rate": 0.000166617484323128, "loss": 1.075, "step": 3620 }, { "epoch": 0.67, "learning_rate": 0.00016652526742899298, "loss": 1.0147, "step": 3630 }, { "epoch": 0.67, "learning_rate": 0.000166433050534858, "loss": 1.0852, "step": 3640 }, { "epoch": 0.67, "learning_rate": 0.000166340833640723, "loss": 1.1575, "step": 3650 }, { "epoch": 0.68, "learning_rate": 0.000166248616746588, "loss": 1.1167, "step": 3660 }, { "epoch": 0.68, "learning_rate": 0.00016615639985245297, "loss": 1.1818, "step": 3670 }, { "epoch": 0.68, "learning_rate": 0.00016606418295831798, "loss": 0.969, "step": 3680 }, { "epoch": 0.68, "learning_rate": 0.00016597196606418297, "loss": 1.1639, "step": 3690 }, { "epoch": 0.68, "learning_rate": 0.00016587974917004795, "loss": 1.2087, "step": 3700 }, { "epoch": 0.68, "learning_rate": 0.00016578753227591294, "loss": 1.0196, "step": 3710 }, { "epoch": 0.69, "learning_rate": 0.00016569531538177795, "loss": 1.1977, "step": 3720 }, { "epoch": 0.69, "learning_rate": 0.00016560309848764296, "loss": 1.2407, "step": 3730 }, { "epoch": 0.69, "learning_rate": 0.00016551088159350795, "loss": 1.1614, "step": 3740 }, { "epoch": 0.69, "learning_rate": 0.00016541866469937293, "loss": 1.1967, "step": 3750 }, { "epoch": 0.69, "learning_rate": 0.00016532644780523794, "loss": 1.065, "step": 3760 }, { "epoch": 0.7, "learning_rate": 0.00016523423091110293, "loss": 1.025, "step": 3770 }, { "epoch": 0.7, "learning_rate": 0.0001651420140169679, "loss": 1.0961, "step": 3780 }, { "epoch": 0.7, "learning_rate": 0.0001650497971228329, "loss": 1.0724, "step": 3790 }, { "epoch": 0.7, "learning_rate": 0.0001649575802286979, "loss": 1.2182, "step": 3800 }, { "epoch": 0.7, "learning_rate": 0.00016486536333456292, "loss": 1.039, "step": 3810 }, { "epoch": 0.7, "learning_rate": 0.0001647731464404279, "loss": 1.1903, "step": 3820 }, { "epoch": 0.71, "learning_rate": 0.00016468092954629289, "loss": 1.2377, "step": 3830 }, { "epoch": 0.71, "learning_rate": 0.00016458871265215787, "loss": 1.0942, "step": 3840 }, { "epoch": 0.71, "learning_rate": 0.00016449649575802288, "loss": 1.1819, "step": 3850 }, { "epoch": 0.71, "learning_rate": 0.00016440427886388787, "loss": 1.0757, "step": 3860 }, { "epoch": 0.71, "learning_rate": 0.00016431206196975285, "loss": 1.0258, "step": 3870 }, { "epoch": 0.72, "learning_rate": 0.00016421984507561786, "loss": 1.1979, "step": 3880 }, { "epoch": 0.72, "learning_rate": 0.00016412762818148287, "loss": 1.1196, "step": 3890 }, { "epoch": 0.72, "learning_rate": 0.00016403541128734786, "loss": 1.0172, "step": 3900 }, { "epoch": 0.72, "learning_rate": 0.00016394319439321284, "loss": 1.0247, "step": 3910 }, { "epoch": 0.72, "learning_rate": 0.00016385097749907783, "loss": 1.1642, "step": 3920 }, { "epoch": 0.72, "learning_rate": 0.00016375876060494284, "loss": 1.1149, "step": 3930 }, { "epoch": 0.73, "learning_rate": 0.00016366654371080782, "loss": 1.1242, "step": 3940 }, { "epoch": 0.73, "learning_rate": 0.0001635743268166728, "loss": 1.0288, "step": 3950 }, { "epoch": 0.73, "learning_rate": 0.00016348210992253782, "loss": 1.0134, "step": 3960 }, { "epoch": 0.73, "learning_rate": 0.00016338989302840283, "loss": 0.9912, "step": 3970 }, { "epoch": 0.73, "learning_rate": 0.00016329767613426782, "loss": 1.2399, "step": 3980 }, { "epoch": 0.74, "learning_rate": 0.0001632054592401328, "loss": 1.0884, "step": 3990 }, { "epoch": 0.74, "learning_rate": 0.00016311324234599778, "loss": 1.0752, "step": 4000 }, { "epoch": 0.74, "eval_accuracy": 0.6017893007120686, "eval_loss": 1.0329654216766357, "eval_runtime": 120.0003, "eval_samples_per_second": 91.283, "eval_steps_per_second": 11.417, "step": 4000 }, { "epoch": 0.74, "learning_rate": 0.0001630210254518628, "loss": 1.2858, "step": 4010 }, { "epoch": 0.74, "learning_rate": 0.00016292880855772778, "loss": 1.1059, "step": 4020 }, { "epoch": 0.74, "learning_rate": 0.00016283659166359276, "loss": 1.183, "step": 4030 }, { "epoch": 0.75, "learning_rate": 0.00016274437476945778, "loss": 1.1196, "step": 4040 }, { "epoch": 0.75, "learning_rate": 0.0001626521578753228, "loss": 1.0654, "step": 4050 }, { "epoch": 0.75, "learning_rate": 0.00016255994098118777, "loss": 1.0667, "step": 4060 }, { "epoch": 0.75, "learning_rate": 0.00016246772408705276, "loss": 1.1217, "step": 4070 }, { "epoch": 0.75, "learning_rate": 0.00016237550719291774, "loss": 1.0408, "step": 4080 }, { "epoch": 0.75, "learning_rate": 0.00016228329029878275, "loss": 1.0204, "step": 4090 }, { "epoch": 0.76, "learning_rate": 0.00016219107340464774, "loss": 1.187, "step": 4100 }, { "epoch": 0.76, "learning_rate": 0.00016209885651051272, "loss": 1.0438, "step": 4110 }, { "epoch": 0.76, "learning_rate": 0.00016200663961637773, "loss": 1.1312, "step": 4120 }, { "epoch": 0.76, "learning_rate": 0.00016191442272224274, "loss": 1.2444, "step": 4130 }, { "epoch": 0.76, "learning_rate": 0.00016182220582810773, "loss": 1.2018, "step": 4140 }, { "epoch": 0.77, "learning_rate": 0.0001617299889339727, "loss": 1.3118, "step": 4150 }, { "epoch": 0.77, "learning_rate": 0.0001616377720398377, "loss": 1.0603, "step": 4160 }, { "epoch": 0.77, "learning_rate": 0.0001615455551457027, "loss": 1.0461, "step": 4170 }, { "epoch": 0.77, "learning_rate": 0.0001614533382515677, "loss": 1.1683, "step": 4180 }, { "epoch": 0.77, "learning_rate": 0.00016136112135743268, "loss": 1.0942, "step": 4190 }, { "epoch": 0.77, "learning_rate": 0.0001612689044632977, "loss": 1.2004, "step": 4200 }, { "epoch": 0.78, "learning_rate": 0.0001611766875691627, "loss": 1.1521, "step": 4210 }, { "epoch": 0.78, "learning_rate": 0.00016108447067502768, "loss": 1.0618, "step": 4220 }, { "epoch": 0.78, "learning_rate": 0.00016099225378089267, "loss": 1.1018, "step": 4230 }, { "epoch": 0.78, "learning_rate": 0.00016090003688675765, "loss": 1.1109, "step": 4240 }, { "epoch": 0.78, "learning_rate": 0.00016080781999262267, "loss": 1.0189, "step": 4250 }, { "epoch": 0.79, "learning_rate": 0.00016071560309848765, "loss": 1.0538, "step": 4260 }, { "epoch": 0.79, "learning_rate": 0.00016062338620435263, "loss": 1.0058, "step": 4270 }, { "epoch": 0.79, "learning_rate": 0.00016053116931021765, "loss": 1.0836, "step": 4280 }, { "epoch": 0.79, "learning_rate": 0.00016043895241608266, "loss": 0.9017, "step": 4290 }, { "epoch": 0.79, "learning_rate": 0.00016034673552194764, "loss": 1.0955, "step": 4300 }, { "epoch": 0.79, "learning_rate": 0.00016025451862781263, "loss": 1.1101, "step": 4310 }, { "epoch": 0.8, "learning_rate": 0.0001601623017336776, "loss": 1.1, "step": 4320 }, { "epoch": 0.8, "learning_rate": 0.00016007008483954262, "loss": 1.0211, "step": 4330 }, { "epoch": 0.8, "learning_rate": 0.0001599778679454076, "loss": 1.114, "step": 4340 }, { "epoch": 0.8, "learning_rate": 0.0001598856510512726, "loss": 0.9771, "step": 4350 }, { "epoch": 0.8, "learning_rate": 0.0001597934341571376, "loss": 1.1924, "step": 4360 }, { "epoch": 0.81, "learning_rate": 0.0001597012172630026, "loss": 1.1563, "step": 4370 }, { "epoch": 0.81, "learning_rate": 0.0001596090003688676, "loss": 1.0096, "step": 4380 }, { "epoch": 0.81, "learning_rate": 0.00015951678347473258, "loss": 1.1882, "step": 4390 }, { "epoch": 0.81, "learning_rate": 0.00015942456658059757, "loss": 1.1699, "step": 4400 }, { "epoch": 0.81, "learning_rate": 0.00015933234968646258, "loss": 1.1306, "step": 4410 }, { "epoch": 0.82, "learning_rate": 0.00015924013279232756, "loss": 1.0027, "step": 4420 }, { "epoch": 0.82, "learning_rate": 0.00015914791589819255, "loss": 1.0942, "step": 4430 }, { "epoch": 0.82, "learning_rate": 0.00015905569900405756, "loss": 1.0259, "step": 4440 }, { "epoch": 0.82, "learning_rate": 0.00015896348210992254, "loss": 1.048, "step": 4450 }, { "epoch": 0.82, "learning_rate": 0.00015887126521578755, "loss": 1.0119, "step": 4460 }, { "epoch": 0.82, "learning_rate": 0.00015877904832165254, "loss": 1.0362, "step": 4470 }, { "epoch": 0.83, "learning_rate": 0.00015868683142751752, "loss": 1.1513, "step": 4480 }, { "epoch": 0.83, "learning_rate": 0.0001585946145333825, "loss": 0.9848, "step": 4490 }, { "epoch": 0.83, "learning_rate": 0.00015850239763924752, "loss": 1.058, "step": 4500 }, { "epoch": 0.83, "learning_rate": 0.0001584101807451125, "loss": 1.0695, "step": 4510 }, { "epoch": 0.83, "learning_rate": 0.00015831796385097752, "loss": 1.0239, "step": 4520 }, { "epoch": 0.84, "learning_rate": 0.0001582257469568425, "loss": 0.9884, "step": 4530 }, { "epoch": 0.84, "learning_rate": 0.0001581335300627075, "loss": 1.1186, "step": 4540 }, { "epoch": 0.84, "learning_rate": 0.0001580413131685725, "loss": 0.9881, "step": 4550 }, { "epoch": 0.84, "learning_rate": 0.00015794909627443748, "loss": 1.1338, "step": 4560 }, { "epoch": 0.84, "learning_rate": 0.00015785687938030246, "loss": 1.0618, "step": 4570 }, { "epoch": 0.84, "learning_rate": 0.00015776466248616748, "loss": 1.0366, "step": 4580 }, { "epoch": 0.85, "learning_rate": 0.00015767244559203246, "loss": 1.1125, "step": 4590 }, { "epoch": 0.85, "learning_rate": 0.00015758022869789747, "loss": 0.9674, "step": 4600 }, { "epoch": 0.85, "learning_rate": 0.00015748801180376246, "loss": 0.9855, "step": 4610 }, { "epoch": 0.85, "learning_rate": 0.00015739579490962747, "loss": 1.073, "step": 4620 }, { "epoch": 0.85, "learning_rate": 0.00015730357801549245, "loss": 1.1406, "step": 4630 }, { "epoch": 0.86, "learning_rate": 0.00015721136112135744, "loss": 1.124, "step": 4640 }, { "epoch": 0.86, "learning_rate": 0.00015711914422722242, "loss": 1.1461, "step": 4650 }, { "epoch": 0.86, "learning_rate": 0.00015702692733308743, "loss": 1.1396, "step": 4660 }, { "epoch": 0.86, "learning_rate": 0.00015693471043895242, "loss": 1.0186, "step": 4670 }, { "epoch": 0.86, "learning_rate": 0.00015684249354481743, "loss": 1.1783, "step": 4680 }, { "epoch": 0.86, "learning_rate": 0.0001567502766506824, "loss": 1.0303, "step": 4690 }, { "epoch": 0.87, "learning_rate": 0.00015665805975654742, "loss": 1.0384, "step": 4700 }, { "epoch": 0.87, "learning_rate": 0.0001565658428624124, "loss": 1.0568, "step": 4710 }, { "epoch": 0.87, "learning_rate": 0.0001564736259682774, "loss": 1.0337, "step": 4720 }, { "epoch": 0.87, "learning_rate": 0.00015638140907414238, "loss": 1.0908, "step": 4730 }, { "epoch": 0.87, "learning_rate": 0.0001562891921800074, "loss": 1.0556, "step": 4740 }, { "epoch": 0.88, "learning_rate": 0.00015619697528587237, "loss": 1.0363, "step": 4750 }, { "epoch": 0.88, "learning_rate": 0.00015610475839173736, "loss": 1.1252, "step": 4760 }, { "epoch": 0.88, "learning_rate": 0.00015601254149760237, "loss": 1.0546, "step": 4770 }, { "epoch": 0.88, "learning_rate": 0.00015592032460346738, "loss": 1.0635, "step": 4780 }, { "epoch": 0.88, "learning_rate": 0.00015582810770933237, "loss": 1.0631, "step": 4790 }, { "epoch": 0.89, "learning_rate": 0.00015573589081519735, "loss": 1.1585, "step": 4800 }, { "epoch": 0.89, "learning_rate": 0.00015564367392106233, "loss": 0.9936, "step": 4810 }, { "epoch": 0.89, "learning_rate": 0.00015555145702692735, "loss": 1.1716, "step": 4820 }, { "epoch": 0.89, "learning_rate": 0.00015545924013279233, "loss": 1.07, "step": 4830 }, { "epoch": 0.89, "learning_rate": 0.00015536702323865731, "loss": 0.9748, "step": 4840 }, { "epoch": 0.89, "learning_rate": 0.00015527480634452233, "loss": 1.1033, "step": 4850 }, { "epoch": 0.9, "learning_rate": 0.00015518258945038734, "loss": 0.9424, "step": 4860 }, { "epoch": 0.9, "learning_rate": 0.00015509037255625232, "loss": 1.1007, "step": 4870 }, { "epoch": 0.9, "learning_rate": 0.0001549981556621173, "loss": 1.1628, "step": 4880 }, { "epoch": 0.9, "learning_rate": 0.0001549059387679823, "loss": 1.1873, "step": 4890 }, { "epoch": 0.9, "learning_rate": 0.0001548137218738473, "loss": 1.0103, "step": 4900 }, { "epoch": 0.91, "learning_rate": 0.0001547215049797123, "loss": 1.1161, "step": 4910 }, { "epoch": 0.91, "learning_rate": 0.00015462928808557727, "loss": 0.9585, "step": 4920 }, { "epoch": 0.91, "learning_rate": 0.00015453707119144228, "loss": 1.1287, "step": 4930 }, { "epoch": 0.91, "learning_rate": 0.0001544448542973073, "loss": 1.0619, "step": 4940 }, { "epoch": 0.91, "learning_rate": 0.00015435263740317228, "loss": 1.0313, "step": 4950 }, { "epoch": 0.91, "learning_rate": 0.00015426042050903726, "loss": 0.9981, "step": 4960 }, { "epoch": 0.92, "learning_rate": 0.00015416820361490225, "loss": 0.9971, "step": 4970 }, { "epoch": 0.92, "learning_rate": 0.00015407598672076726, "loss": 1.0189, "step": 4980 }, { "epoch": 0.92, "learning_rate": 0.00015398376982663224, "loss": 1.0409, "step": 4990 }, { "epoch": 0.92, "learning_rate": 0.00015389155293249723, "loss": 1.0986, "step": 5000 }, { "epoch": 0.92, "eval_accuracy": 0.6173087456636845, "eval_loss": 0.9973227977752686, "eval_runtime": 120.8105, "eval_samples_per_second": 90.671, "eval_steps_per_second": 11.34, "step": 5000 }, { "epoch": 0.92, "learning_rate": 0.00015379933603836224, "loss": 0.9322, "step": 5010 }, { "epoch": 0.93, "learning_rate": 0.00015370711914422725, "loss": 1.0709, "step": 5020 }, { "epoch": 0.93, "learning_rate": 0.00015361490225009223, "loss": 1.0489, "step": 5030 }, { "epoch": 0.93, "learning_rate": 0.00015352268535595722, "loss": 1.0355, "step": 5040 }, { "epoch": 0.93, "learning_rate": 0.0001534304684618222, "loss": 1.0864, "step": 5050 }, { "epoch": 0.93, "learning_rate": 0.0001533382515676872, "loss": 1.1943, "step": 5060 }, { "epoch": 0.94, "learning_rate": 0.0001532460346735522, "loss": 1.0732, "step": 5070 }, { "epoch": 0.94, "learning_rate": 0.00015315381777941718, "loss": 1.0839, "step": 5080 }, { "epoch": 0.94, "learning_rate": 0.0001530616008852822, "loss": 1.1924, "step": 5090 }, { "epoch": 0.94, "learning_rate": 0.00015296938399114718, "loss": 1.0219, "step": 5100 }, { "epoch": 0.94, "learning_rate": 0.0001528771670970122, "loss": 1.0757, "step": 5110 }, { "epoch": 0.94, "learning_rate": 0.00015278495020287718, "loss": 1.0885, "step": 5120 }, { "epoch": 0.95, "learning_rate": 0.00015269273330874216, "loss": 1.0124, "step": 5130 }, { "epoch": 0.95, "learning_rate": 0.00015260051641460714, "loss": 1.1158, "step": 5140 }, { "epoch": 0.95, "learning_rate": 0.00015250829952047216, "loss": 1.0025, "step": 5150 }, { "epoch": 0.95, "learning_rate": 0.00015241608262633714, "loss": 0.9261, "step": 5160 }, { "epoch": 0.95, "learning_rate": 0.00015232386573220215, "loss": 1.1601, "step": 5170 }, { "epoch": 0.96, "learning_rate": 0.00015223164883806714, "loss": 1.1556, "step": 5180 }, { "epoch": 0.96, "learning_rate": 0.00015213943194393215, "loss": 1.0993, "step": 5190 }, { "epoch": 0.96, "learning_rate": 0.00015204721504979713, "loss": 0.9749, "step": 5200 }, { "epoch": 0.96, "learning_rate": 0.00015195499815566212, "loss": 0.9307, "step": 5210 }, { "epoch": 0.96, "learning_rate": 0.0001518627812615271, "loss": 1.1327, "step": 5220 }, { "epoch": 0.96, "learning_rate": 0.0001517705643673921, "loss": 0.9979, "step": 5230 }, { "epoch": 0.97, "learning_rate": 0.0001516783474732571, "loss": 0.9556, "step": 5240 }, { "epoch": 0.97, "learning_rate": 0.0001515861305791221, "loss": 1.0526, "step": 5250 }, { "epoch": 0.97, "learning_rate": 0.0001514939136849871, "loss": 1.0278, "step": 5260 }, { "epoch": 0.97, "learning_rate": 0.0001514016967908521, "loss": 1.0556, "step": 5270 }, { "epoch": 0.97, "learning_rate": 0.0001513094798967171, "loss": 1.0768, "step": 5280 }, { "epoch": 0.98, "learning_rate": 0.00015121726300258207, "loss": 0.9596, "step": 5290 }, { "epoch": 0.98, "learning_rate": 0.00015112504610844706, "loss": 0.9043, "step": 5300 }, { "epoch": 0.98, "learning_rate": 0.00015103282921431207, "loss": 1.0323, "step": 5310 }, { "epoch": 0.98, "learning_rate": 0.00015094061232017705, "loss": 1.0971, "step": 5320 }, { "epoch": 0.98, "learning_rate": 0.00015084839542604207, "loss": 0.9968, "step": 5330 }, { "epoch": 0.98, "learning_rate": 0.00015075617853190705, "loss": 1.0982, "step": 5340 }, { "epoch": 0.99, "learning_rate": 0.00015066396163777206, "loss": 1.0978, "step": 5350 }, { "epoch": 0.99, "learning_rate": 0.00015057174474363705, "loss": 1.0824, "step": 5360 }, { "epoch": 0.99, "learning_rate": 0.00015047952784950203, "loss": 1.0469, "step": 5370 }, { "epoch": 0.99, "learning_rate": 0.00015038731095536701, "loss": 1.0478, "step": 5380 }, { "epoch": 0.99, "learning_rate": 0.00015029509406123203, "loss": 0.9544, "step": 5390 }, { "epoch": 1.0, "learning_rate": 0.000150202877167097, "loss": 0.9749, "step": 5400 }, { "epoch": 1.0, "learning_rate": 0.00015011066027296202, "loss": 1.0346, "step": 5410 }, { "epoch": 1.0, "learning_rate": 0.000150018443378827, "loss": 1.051, "step": 5420 }, { "epoch": 1.0, "learning_rate": 0.00014992622648469202, "loss": 0.9579, "step": 5430 }, { "epoch": 1.0, "learning_rate": 0.000149834009590557, "loss": 0.9604, "step": 5440 }, { "epoch": 1.01, "learning_rate": 0.000149741792696422, "loss": 0.9041, "step": 5450 }, { "epoch": 1.01, "learning_rate": 0.00014964957580228697, "loss": 0.9669, "step": 5460 }, { "epoch": 1.01, "learning_rate": 0.00014955735890815198, "loss": 0.9801, "step": 5470 }, { "epoch": 1.01, "learning_rate": 0.00014946514201401697, "loss": 1.0587, "step": 5480 }, { "epoch": 1.01, "learning_rate": 0.00014937292511988198, "loss": 0.9252, "step": 5490 }, { "epoch": 1.01, "learning_rate": 0.00014928070822574696, "loss": 0.9232, "step": 5500 }, { "epoch": 1.02, "learning_rate": 0.00014918849133161197, "loss": 1.012, "step": 5510 }, { "epoch": 1.02, "learning_rate": 0.00014909627443747696, "loss": 0.9, "step": 5520 }, { "epoch": 1.02, "learning_rate": 0.00014900405754334194, "loss": 1.0519, "step": 5530 }, { "epoch": 1.02, "learning_rate": 0.00014891184064920693, "loss": 0.8778, "step": 5540 }, { "epoch": 1.02, "learning_rate": 0.00014881962375507194, "loss": 1.0313, "step": 5550 }, { "epoch": 1.03, "learning_rate": 0.00014872740686093692, "loss": 1.0099, "step": 5560 }, { "epoch": 1.03, "learning_rate": 0.00014863518996680193, "loss": 0.9487, "step": 5570 }, { "epoch": 1.03, "learning_rate": 0.00014854297307266692, "loss": 0.928, "step": 5580 }, { "epoch": 1.03, "learning_rate": 0.00014845075617853193, "loss": 0.9686, "step": 5590 }, { "epoch": 1.03, "learning_rate": 0.00014835853928439692, "loss": 0.8961, "step": 5600 }, { "epoch": 1.03, "learning_rate": 0.0001482663223902619, "loss": 0.9392, "step": 5610 }, { "epoch": 1.04, "learning_rate": 0.00014817410549612688, "loss": 0.8853, "step": 5620 }, { "epoch": 1.04, "learning_rate": 0.0001480818886019919, "loss": 1.1087, "step": 5630 }, { "epoch": 1.04, "learning_rate": 0.00014798967170785688, "loss": 1.0911, "step": 5640 }, { "epoch": 1.04, "learning_rate": 0.0001478974548137219, "loss": 0.9751, "step": 5650 }, { "epoch": 1.04, "learning_rate": 0.00014780523791958688, "loss": 0.921, "step": 5660 }, { "epoch": 1.05, "learning_rate": 0.0001477130210254519, "loss": 0.9883, "step": 5670 }, { "epoch": 1.05, "learning_rate": 0.00014762080413131687, "loss": 0.8726, "step": 5680 }, { "epoch": 1.05, "learning_rate": 0.00014752858723718186, "loss": 0.9796, "step": 5690 }, { "epoch": 1.05, "learning_rate": 0.00014743637034304684, "loss": 0.9263, "step": 5700 }, { "epoch": 1.05, "learning_rate": 0.00014734415344891183, "loss": 1.0244, "step": 5710 }, { "epoch": 1.05, "learning_rate": 0.00014725193655477684, "loss": 1.0325, "step": 5720 }, { "epoch": 1.06, "learning_rate": 0.00014715971966064185, "loss": 1.0408, "step": 5730 }, { "epoch": 1.06, "learning_rate": 0.00014706750276650683, "loss": 0.8769, "step": 5740 }, { "epoch": 1.06, "learning_rate": 0.00014697528587237182, "loss": 0.8201, "step": 5750 }, { "epoch": 1.06, "learning_rate": 0.00014688306897823683, "loss": 1.0031, "step": 5760 }, { "epoch": 1.06, "learning_rate": 0.0001467908520841018, "loss": 0.9183, "step": 5770 }, { "epoch": 1.07, "learning_rate": 0.0001466986351899668, "loss": 0.921, "step": 5780 }, { "epoch": 1.07, "learning_rate": 0.00014660641829583178, "loss": 0.919, "step": 5790 }, { "epoch": 1.07, "learning_rate": 0.0001465142014016968, "loss": 0.9534, "step": 5800 }, { "epoch": 1.07, "learning_rate": 0.0001464219845075618, "loss": 0.9701, "step": 5810 }, { "epoch": 1.07, "learning_rate": 0.0001463297676134268, "loss": 0.9514, "step": 5820 }, { "epoch": 1.08, "learning_rate": 0.00014623755071929177, "loss": 0.8391, "step": 5830 }, { "epoch": 1.08, "learning_rate": 0.00014614533382515679, "loss": 0.8512, "step": 5840 }, { "epoch": 1.08, "learning_rate": 0.00014605311693102177, "loss": 0.9935, "step": 5850 }, { "epoch": 1.08, "learning_rate": 0.00014596090003688675, "loss": 1.0344, "step": 5860 }, { "epoch": 1.08, "learning_rate": 0.00014586868314275174, "loss": 0.9274, "step": 5870 }, { "epoch": 1.08, "learning_rate": 0.00014577646624861675, "loss": 0.9854, "step": 5880 }, { "epoch": 1.09, "learning_rate": 0.00014568424935448176, "loss": 1.1206, "step": 5890 }, { "epoch": 1.09, "learning_rate": 0.00014559203246034675, "loss": 0.9722, "step": 5900 }, { "epoch": 1.09, "learning_rate": 0.00014549981556621173, "loss": 0.8797, "step": 5910 }, { "epoch": 1.09, "learning_rate": 0.00014540759867207674, "loss": 0.9824, "step": 5920 }, { "epoch": 1.09, "learning_rate": 0.00014531538177794173, "loss": 0.8565, "step": 5930 }, { "epoch": 1.1, "learning_rate": 0.0001452231648838067, "loss": 1.0249, "step": 5940 }, { "epoch": 1.1, "learning_rate": 0.0001451309479896717, "loss": 1.0333, "step": 5950 }, { "epoch": 1.1, "learning_rate": 0.0001450387310955367, "loss": 0.884, "step": 5960 }, { "epoch": 1.1, "learning_rate": 0.00014494651420140172, "loss": 0.9621, "step": 5970 }, { "epoch": 1.1, "learning_rate": 0.0001448542973072667, "loss": 0.9285, "step": 5980 }, { "epoch": 1.1, "learning_rate": 0.0001447620804131317, "loss": 1.0458, "step": 5990 }, { "epoch": 1.11, "learning_rate": 0.0001446698635189967, "loss": 1.0007, "step": 6000 }, { "epoch": 1.11, "eval_accuracy": 0.6278984845718459, "eval_loss": 0.9735340476036072, "eval_runtime": 126.3308, "eval_samples_per_second": 86.709, "eval_steps_per_second": 10.845, "step": 6000 }, { "epoch": 1.11, "learning_rate": 0.00014457764662486168, "loss": 0.9556, "step": 6010 }, { "epoch": 1.11, "learning_rate": 0.00014448542973072667, "loss": 1.0441, "step": 6020 }, { "epoch": 1.11, "learning_rate": 0.00014439321283659165, "loss": 0.9326, "step": 6030 }, { "epoch": 1.11, "learning_rate": 0.00014430099594245666, "loss": 0.8935, "step": 6040 }, { "epoch": 1.12, "learning_rate": 0.00014420877904832167, "loss": 0.8908, "step": 6050 }, { "epoch": 1.12, "learning_rate": 0.00014411656215418666, "loss": 0.8587, "step": 6060 }, { "epoch": 1.12, "learning_rate": 0.00014402434526005164, "loss": 0.9722, "step": 6070 }, { "epoch": 1.12, "learning_rate": 0.00014393212836591665, "loss": 0.9279, "step": 6080 }, { "epoch": 1.12, "learning_rate": 0.00014383991147178164, "loss": 1.0222, "step": 6090 }, { "epoch": 1.13, "learning_rate": 0.00014374769457764662, "loss": 0.9372, "step": 6100 }, { "epoch": 1.13, "learning_rate": 0.0001436554776835116, "loss": 0.7997, "step": 6110 }, { "epoch": 1.13, "learning_rate": 0.00014356326078937662, "loss": 1.1846, "step": 6120 }, { "epoch": 1.13, "learning_rate": 0.00014347104389524163, "loss": 0.9402, "step": 6130 }, { "epoch": 1.13, "learning_rate": 0.00014337882700110662, "loss": 0.9934, "step": 6140 }, { "epoch": 1.13, "learning_rate": 0.0001432866101069716, "loss": 0.9431, "step": 6150 }, { "epoch": 1.14, "learning_rate": 0.0001431943932128366, "loss": 0.9805, "step": 6160 }, { "epoch": 1.14, "learning_rate": 0.0001431021763187016, "loss": 1.0928, "step": 6170 }, { "epoch": 1.14, "learning_rate": 0.00014300995942456658, "loss": 0.9588, "step": 6180 }, { "epoch": 1.14, "learning_rate": 0.00014291774253043156, "loss": 0.9568, "step": 6190 }, { "epoch": 1.14, "learning_rate": 0.00014282552563629658, "loss": 0.9805, "step": 6200 }, { "epoch": 1.15, "learning_rate": 0.0001427333087421616, "loss": 0.9507, "step": 6210 }, { "epoch": 1.15, "learning_rate": 0.00014264109184802657, "loss": 1.05, "step": 6220 }, { "epoch": 1.15, "learning_rate": 0.00014254887495389156, "loss": 0.9394, "step": 6230 }, { "epoch": 1.15, "learning_rate": 0.00014245665805975657, "loss": 0.8497, "step": 6240 }, { "epoch": 1.15, "learning_rate": 0.00014236444116562155, "loss": 0.8725, "step": 6250 }, { "epoch": 1.15, "learning_rate": 0.00014227222427148654, "loss": 0.8463, "step": 6260 }, { "epoch": 1.16, "learning_rate": 0.00014218000737735152, "loss": 0.97, "step": 6270 }, { "epoch": 1.16, "learning_rate": 0.00014208779048321653, "loss": 0.9493, "step": 6280 }, { "epoch": 1.16, "learning_rate": 0.00014199557358908154, "loss": 0.9663, "step": 6290 }, { "epoch": 1.16, "learning_rate": 0.00014190335669494653, "loss": 1.004, "step": 6300 }, { "epoch": 1.16, "learning_rate": 0.0001418111398008115, "loss": 0.8968, "step": 6310 }, { "epoch": 1.17, "learning_rate": 0.0001417189229066765, "loss": 0.8888, "step": 6320 }, { "epoch": 1.17, "learning_rate": 0.0001416267060125415, "loss": 0.8374, "step": 6330 }, { "epoch": 1.17, "learning_rate": 0.0001415344891184065, "loss": 0.954, "step": 6340 }, { "epoch": 1.17, "learning_rate": 0.00014144227222427148, "loss": 0.8862, "step": 6350 }, { "epoch": 1.17, "learning_rate": 0.0001413500553301365, "loss": 0.8739, "step": 6360 }, { "epoch": 1.17, "learning_rate": 0.0001412578384360015, "loss": 0.9299, "step": 6370 }, { "epoch": 1.18, "learning_rate": 0.00014116562154186649, "loss": 1.0618, "step": 6380 }, { "epoch": 1.18, "learning_rate": 0.00014107340464773147, "loss": 1.0761, "step": 6390 }, { "epoch": 1.18, "learning_rate": 0.00014098118775359645, "loss": 0.8611, "step": 6400 }, { "epoch": 1.18, "learning_rate": 0.00014088897085946147, "loss": 0.9048, "step": 6410 }, { "epoch": 1.18, "learning_rate": 0.00014079675396532645, "loss": 1.0522, "step": 6420 }, { "epoch": 1.19, "learning_rate": 0.00014070453707119143, "loss": 0.9877, "step": 6430 }, { "epoch": 1.19, "learning_rate": 0.00014061232017705645, "loss": 0.8829, "step": 6440 }, { "epoch": 1.19, "learning_rate": 0.00014052010328292146, "loss": 1.0603, "step": 6450 }, { "epoch": 1.19, "learning_rate": 0.00014042788638878644, "loss": 0.7864, "step": 6460 }, { "epoch": 1.19, "learning_rate": 0.00014033566949465143, "loss": 0.9331, "step": 6470 }, { "epoch": 1.2, "learning_rate": 0.0001402434526005164, "loss": 0.9797, "step": 6480 }, { "epoch": 1.2, "learning_rate": 0.00014015123570638142, "loss": 0.8856, "step": 6490 }, { "epoch": 1.2, "learning_rate": 0.0001400590188122464, "loss": 0.9331, "step": 6500 }, { "epoch": 1.2, "learning_rate": 0.0001399668019181114, "loss": 0.9474, "step": 6510 }, { "epoch": 1.2, "learning_rate": 0.0001398745850239764, "loss": 0.945, "step": 6520 }, { "epoch": 1.2, "learning_rate": 0.00013978236812984141, "loss": 0.9582, "step": 6530 }, { "epoch": 1.21, "learning_rate": 0.0001396901512357064, "loss": 0.9169, "step": 6540 }, { "epoch": 1.21, "learning_rate": 0.00013959793434157138, "loss": 0.8835, "step": 6550 }, { "epoch": 1.21, "learning_rate": 0.00013950571744743637, "loss": 1.0453, "step": 6560 }, { "epoch": 1.21, "learning_rate": 0.00013941350055330138, "loss": 0.9508, "step": 6570 }, { "epoch": 1.21, "learning_rate": 0.00013932128365916636, "loss": 0.8279, "step": 6580 }, { "epoch": 1.22, "learning_rate": 0.00013922906676503135, "loss": 0.8625, "step": 6590 }, { "epoch": 1.22, "learning_rate": 0.00013913684987089636, "loss": 1.0246, "step": 6600 }, { "epoch": 1.22, "learning_rate": 0.00013904463297676137, "loss": 1.0542, "step": 6610 }, { "epoch": 1.22, "learning_rate": 0.00013895241608262635, "loss": 1.1773, "step": 6620 }, { "epoch": 1.22, "learning_rate": 0.00013886019918849134, "loss": 0.9781, "step": 6630 }, { "epoch": 1.22, "learning_rate": 0.00013876798229435632, "loss": 0.9141, "step": 6640 }, { "epoch": 1.23, "learning_rate": 0.00013867576540022134, "loss": 0.9201, "step": 6650 }, { "epoch": 1.23, "learning_rate": 0.00013858354850608632, "loss": 1.102, "step": 6660 }, { "epoch": 1.23, "learning_rate": 0.0001384913316119513, "loss": 0.9667, "step": 6670 }, { "epoch": 1.23, "learning_rate": 0.00013839911471781632, "loss": 0.9824, "step": 6680 }, { "epoch": 1.23, "learning_rate": 0.00013830689782368133, "loss": 0.8567, "step": 6690 }, { "epoch": 1.24, "learning_rate": 0.0001382146809295463, "loss": 1.0355, "step": 6700 }, { "epoch": 1.24, "learning_rate": 0.0001381224640354113, "loss": 1.0138, "step": 6710 }, { "epoch": 1.24, "learning_rate": 0.00013803024714127628, "loss": 0.9729, "step": 6720 }, { "epoch": 1.24, "learning_rate": 0.0001379380302471413, "loss": 0.8926, "step": 6730 }, { "epoch": 1.24, "learning_rate": 0.00013784581335300628, "loss": 1.0177, "step": 6740 }, { "epoch": 1.24, "learning_rate": 0.00013775359645887126, "loss": 0.987, "step": 6750 }, { "epoch": 1.25, "learning_rate": 0.00013766137956473627, "loss": 0.8458, "step": 6760 }, { "epoch": 1.25, "learning_rate": 0.00013756916267060128, "loss": 0.7518, "step": 6770 }, { "epoch": 1.25, "learning_rate": 0.00013747694577646627, "loss": 0.9774, "step": 6780 }, { "epoch": 1.25, "learning_rate": 0.00013738472888233125, "loss": 1.0055, "step": 6790 }, { "epoch": 1.25, "learning_rate": 0.00013729251198819624, "loss": 0.8713, "step": 6800 }, { "epoch": 1.26, "learning_rate": 0.00013720029509406125, "loss": 0.971, "step": 6810 }, { "epoch": 1.26, "learning_rate": 0.00013710807819992623, "loss": 0.9288, "step": 6820 }, { "epoch": 1.26, "learning_rate": 0.00013701586130579122, "loss": 0.9262, "step": 6830 }, { "epoch": 1.26, "learning_rate": 0.00013692364441165623, "loss": 0.8841, "step": 6840 }, { "epoch": 1.26, "learning_rate": 0.00013683142751752124, "loss": 0.9915, "step": 6850 }, { "epoch": 1.27, "learning_rate": 0.00013673921062338622, "loss": 0.8655, "step": 6860 }, { "epoch": 1.27, "learning_rate": 0.0001366469937292512, "loss": 0.9693, "step": 6870 }, { "epoch": 1.27, "learning_rate": 0.0001365547768351162, "loss": 0.9008, "step": 6880 }, { "epoch": 1.27, "learning_rate": 0.0001364625599409812, "loss": 0.805, "step": 6890 }, { "epoch": 1.27, "learning_rate": 0.0001363703430468462, "loss": 1.0133, "step": 6900 }, { "epoch": 1.27, "learning_rate": 0.00013627812615271117, "loss": 1.0042, "step": 6910 }, { "epoch": 1.28, "learning_rate": 0.00013618590925857619, "loss": 0.9359, "step": 6920 }, { "epoch": 1.28, "learning_rate": 0.0001360936923644412, "loss": 0.9494, "step": 6930 }, { "epoch": 1.28, "learning_rate": 0.00013600147547030618, "loss": 0.8066, "step": 6940 }, { "epoch": 1.28, "learning_rate": 0.00013590925857617117, "loss": 0.8624, "step": 6950 }, { "epoch": 1.28, "learning_rate": 0.00013581704168203615, "loss": 0.9384, "step": 6960 }, { "epoch": 1.29, "learning_rate": 0.00013572482478790113, "loss": 0.9453, "step": 6970 }, { "epoch": 1.29, "learning_rate": 0.00013563260789376615, "loss": 0.8685, "step": 6980 }, { "epoch": 1.29, "learning_rate": 0.00013554039099963113, "loss": 1.0235, "step": 6990 }, { "epoch": 1.29, "learning_rate": 0.00013544817410549614, "loss": 0.9851, "step": 7000 }, { "epoch": 1.29, "eval_accuracy": 0.625798794960745, "eval_loss": 0.9830374717712402, "eval_runtime": 124.7895, "eval_samples_per_second": 87.78, "eval_steps_per_second": 10.978, "step": 7000 }, { "epoch": 1.29, "step": 7000, "total_flos": 2.379231557756928e+18, "train_loss": 1.1860508116313389, "train_runtime": 2516.8853, "train_samples_per_second": 137.859, "train_steps_per_second": 8.617 } ], "logging_steps": 10, "max_steps": 21688, "num_train_epochs": 4, "save_steps": 1000, "total_flos": 2.379231557756928e+18, "trial_name": null, "trial_params": null }