diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,8038 @@ +{ + "best_metric": 0.6920435428619385, + "best_model_checkpoint": "./imdb_outputs/checkpoint-5314", + "epoch": 5.0, + "global_step": 13285, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 1.5048908954100828e-05, + "loss": 0.6896, + "step": 10 + }, + { + "epoch": 0.01, + "learning_rate": 3.0097817908201657e-05, + "loss": 0.684, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 4.514672686230249e-05, + "loss": 0.6176, + "step": 30 + }, + { + "epoch": 0.02, + "learning_rate": 6.0195635816403313e-05, + "loss": 0.4737, + "step": 40 + }, + { + "epoch": 0.02, + "learning_rate": 7.524454477050414e-05, + "loss": 0.3974, + "step": 50 + }, + { + "epoch": 0.02, + "learning_rate": 9.029345372460498e-05, + "loss": 0.4758, + "step": 60 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001053423626787058, + "loss": 0.3866, + "step": 70 + }, + { + "epoch": 0.03, + "learning_rate": 0.00012039127163280663, + "loss": 0.5445, + "step": 80 + }, + { + "epoch": 0.03, + "learning_rate": 0.00013544018058690745, + "loss": 0.4375, + "step": 90 + }, + { + "epoch": 0.04, + "learning_rate": 0.00015048908954100828, + "loss": 0.4384, + "step": 100 + }, + { + "epoch": 0.04, + "learning_rate": 0.00016553799849510913, + "loss": 0.3477, + "step": 110 + }, + { + "epoch": 0.05, + "learning_rate": 0.00018058690744920995, + "loss": 0.4281, + "step": 120 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019563581640331078, + "loss": 0.5325, + "step": 130 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002106847253574116, + "loss": 0.6339, + "step": 140 + }, + { + "epoch": 0.06, + "learning_rate": 0.00022573363431151243, + "loss": 0.6693, + "step": 150 + }, + { + "epoch": 0.06, + "learning_rate": 0.00024078254326561325, + "loss": 0.5224, + "step": 160 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002558314522197141, + "loss": 0.6391, + "step": 170 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002708803611738149, + "loss": 0.5047, + "step": 180 + }, + { + "epoch": 0.07, + "learning_rate": 0.00028592927012791573, + "loss": 0.5958, + "step": 190 + }, + { + "epoch": 0.08, + "learning_rate": 0.00030097817908201655, + "loss": 0.59, + "step": 200 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003160270880361174, + "loss": 0.7813, + "step": 210 + }, + { + "epoch": 0.08, + "learning_rate": 0.00033107599699021826, + "loss": 0.7294, + "step": 220 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003461249059443191, + "loss": 0.7803, + "step": 230 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003611738148984199, + "loss": 0.5583, + "step": 240 + }, + { + "epoch": 0.09, + "learning_rate": 0.00037622272385252073, + "loss": 0.4703, + "step": 250 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039127163280662156, + "loss": 0.6904, + "step": 260 + }, + { + "epoch": 0.1, + "learning_rate": 0.0004063205417607224, + "loss": 0.5762, + "step": 270 + }, + { + "epoch": 0.11, + "learning_rate": 0.0004213694507148232, + "loss": 0.5184, + "step": 280 + }, + { + "epoch": 0.11, + "learning_rate": 0.00043641835966892403, + "loss": 0.5477, + "step": 290 + }, + { + "epoch": 0.11, + "learning_rate": 0.00045146726862302486, + "loss": 0.7142, + "step": 300 + }, + { + "epoch": 0.12, + "learning_rate": 0.0004665161775771257, + "loss": 0.6237, + "step": 310 + }, + { + "epoch": 0.12, + "learning_rate": 0.0004815650865312265, + "loss": 0.7138, + "step": 320 + }, + { + "epoch": 0.12, + "learning_rate": 0.0004966139954853273, + "loss": 0.7844, + "step": 330 + }, + { + "epoch": 0.13, + "learning_rate": 0.0005116629044394282, + "loss": 0.5712, + "step": 340 + }, + { + "epoch": 0.13, + "learning_rate": 0.000526711813393529, + "loss": 0.7358, + "step": 350 + }, + { + "epoch": 0.14, + "learning_rate": 0.0005417607223476298, + "loss": 0.665, + "step": 360 + }, + { + "epoch": 0.14, + "learning_rate": 0.0005568096313017306, + "loss": 0.6351, + "step": 370 + }, + { + "epoch": 0.14, + "learning_rate": 0.0005718585402558315, + "loss": 0.5413, + "step": 380 + }, + { + "epoch": 0.15, + "learning_rate": 0.0005869074492099323, + "loss": 0.5889, + "step": 390 + }, + { + "epoch": 0.15, + "learning_rate": 0.0006019563581640331, + "loss": 0.5156, + "step": 400 + }, + { + "epoch": 0.15, + "learning_rate": 0.0006170052671181339, + "loss": 0.7493, + "step": 410 + }, + { + "epoch": 0.16, + "learning_rate": 0.0006320541760722348, + "loss": 0.5993, + "step": 420 + }, + { + "epoch": 0.16, + "learning_rate": 0.0006471030850263356, + "loss": 0.8799, + "step": 430 + }, + { + "epoch": 0.17, + "learning_rate": 0.0006621519939804365, + "loss": 0.7169, + "step": 440 + }, + { + "epoch": 0.17, + "learning_rate": 0.0006772009029345373, + "loss": 0.7097, + "step": 450 + }, + { + "epoch": 0.17, + "learning_rate": 0.0006922498118886382, + "loss": 0.6949, + "step": 460 + }, + { + "epoch": 0.18, + "learning_rate": 0.000707298720842739, + "loss": 0.74, + "step": 470 + }, + { + "epoch": 0.18, + "learning_rate": 0.0007223476297968398, + "loss": 0.6673, + "step": 480 + }, + { + "epoch": 0.18, + "learning_rate": 0.0007373965387509406, + "loss": 0.7596, + "step": 490 + }, + { + "epoch": 0.19, + "learning_rate": 0.0007524454477050415, + "loss": 0.6971, + "step": 500 + }, + { + "epoch": 0.19, + "learning_rate": 0.0007674943566591423, + "loss": 0.712, + "step": 510 + }, + { + "epoch": 0.2, + "learning_rate": 0.0007825432656132431, + "loss": 0.7116, + "step": 520 + }, + { + "epoch": 0.2, + "learning_rate": 0.0007975921745673439, + "loss": 0.7192, + "step": 530 + }, + { + "epoch": 0.2, + "learning_rate": 0.0008126410835214448, + "loss": 0.7081, + "step": 540 + }, + { + "epoch": 0.21, + "learning_rate": 0.0008276899924755456, + "loss": 0.6847, + "step": 550 + }, + { + "epoch": 0.21, + "learning_rate": 0.0008427389014296464, + "loss": 0.7171, + "step": 560 + }, + { + "epoch": 0.21, + "learning_rate": 0.0008577878103837472, + "loss": 0.7274, + "step": 570 + }, + { + "epoch": 0.22, + "learning_rate": 0.0008728367193378481, + "loss": 0.7037, + "step": 580 + }, + { + "epoch": 0.22, + "learning_rate": 0.0008878856282919489, + "loss": 0.7008, + "step": 590 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009029345372460497, + "loss": 0.6321, + "step": 600 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009179834462001505, + "loss": 0.6766, + "step": 610 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009330323551542514, + "loss": 0.6484, + "step": 620 + }, + { + "epoch": 0.24, + "learning_rate": 0.0009480812641083522, + "loss": 0.8377, + "step": 630 + }, + { + "epoch": 0.24, + "learning_rate": 0.000963130173062453, + "loss": 0.5908, + "step": 640 + }, + { + "epoch": 0.24, + "learning_rate": 0.0009781790820165537, + "loss": 0.7359, + "step": 650 + }, + { + "epoch": 0.25, + "learning_rate": 0.0009932279909706547, + "loss": 0.6451, + "step": 660 + }, + { + "epoch": 0.25, + "learning_rate": 0.0010082768999247556, + "loss": 0.6498, + "step": 670 + }, + { + "epoch": 0.26, + "learning_rate": 0.0010233258088788563, + "loss": 0.609, + "step": 680 + }, + { + "epoch": 0.26, + "learning_rate": 0.0010383747178329572, + "loss": 0.5956, + "step": 690 + }, + { + "epoch": 0.26, + "learning_rate": 0.001053423626787058, + "loss": 0.717, + "step": 700 + }, + { + "epoch": 0.27, + "learning_rate": 0.001068472535741159, + "loss": 0.6324, + "step": 710 + }, + { + "epoch": 0.27, + "learning_rate": 0.0010835214446952596, + "loss": 0.5219, + "step": 720 + }, + { + "epoch": 0.27, + "learning_rate": 0.0010985703536493605, + "loss": 0.6154, + "step": 730 + }, + { + "epoch": 0.28, + "learning_rate": 0.0011136192626034613, + "loss": 0.6573, + "step": 740 + }, + { + "epoch": 0.28, + "learning_rate": 0.0011286681715575622, + "loss": 0.6134, + "step": 750 + }, + { + "epoch": 0.29, + "learning_rate": 0.001143717080511663, + "loss": 0.5372, + "step": 760 + }, + { + "epoch": 0.29, + "learning_rate": 0.0011587659894657638, + "loss": 0.7781, + "step": 770 + }, + { + "epoch": 0.29, + "learning_rate": 0.0011738148984198646, + "loss": 0.7011, + "step": 780 + }, + { + "epoch": 0.3, + "learning_rate": 0.0011888638073739655, + "loss": 0.7259, + "step": 790 + }, + { + "epoch": 0.3, + "learning_rate": 0.0012039127163280662, + "loss": 0.7233, + "step": 800 + }, + { + "epoch": 0.3, + "learning_rate": 0.0012189616252821671, + "loss": 0.6953, + "step": 810 + }, + { + "epoch": 0.31, + "learning_rate": 0.0012340105342362679, + "loss": 0.6927, + "step": 820 + }, + { + "epoch": 0.31, + "learning_rate": 0.0012490594431903688, + "loss": 0.7095, + "step": 830 + }, + { + "epoch": 0.32, + "learning_rate": 0.0012641083521444695, + "loss": 0.6834, + "step": 840 + }, + { + "epoch": 0.32, + "learning_rate": 0.0012791572610985704, + "loss": 0.7397, + "step": 850 + }, + { + "epoch": 0.32, + "learning_rate": 0.0012942061700526712, + "loss": 0.7163, + "step": 860 + }, + { + "epoch": 0.33, + "learning_rate": 0.001309255079006772, + "loss": 0.6996, + "step": 870 + }, + { + "epoch": 0.33, + "learning_rate": 0.001324303987960873, + "loss": 0.695, + "step": 880 + }, + { + "epoch": 0.33, + "learning_rate": 0.0013393528969149737, + "loss": 0.6984, + "step": 890 + }, + { + "epoch": 0.34, + "learning_rate": 0.0013544018058690747, + "loss": 0.6935, + "step": 900 + }, + { + "epoch": 0.34, + "learning_rate": 0.0013694507148231754, + "loss": 0.6973, + "step": 910 + }, + { + "epoch": 0.35, + "learning_rate": 0.0013844996237772763, + "loss": 0.6817, + "step": 920 + }, + { + "epoch": 0.35, + "learning_rate": 0.001399548532731377, + "loss": 0.7045, + "step": 930 + }, + { + "epoch": 0.35, + "learning_rate": 0.001414597441685478, + "loss": 0.694, + "step": 940 + }, + { + "epoch": 0.36, + "learning_rate": 0.0014296463506395787, + "loss": 0.6823, + "step": 950 + }, + { + "epoch": 0.36, + "learning_rate": 0.0014446952595936796, + "loss": 0.6979, + "step": 960 + }, + { + "epoch": 0.37, + "learning_rate": 0.0014597441685477803, + "loss": 0.705, + "step": 970 + }, + { + "epoch": 0.37, + "learning_rate": 0.0014747930775018813, + "loss": 0.6959, + "step": 980 + }, + { + "epoch": 0.37, + "learning_rate": 0.001489841986455982, + "loss": 0.6947, + "step": 990 + }, + { + "epoch": 0.38, + "learning_rate": 0.001504890895410083, + "loss": 0.6952, + "step": 1000 + }, + { + "epoch": 0.38, + "learning_rate": 0.0015199398043641836, + "loss": 0.6948, + "step": 1010 + }, + { + "epoch": 0.38, + "learning_rate": 0.0015349887133182846, + "loss": 0.6909, + "step": 1020 + }, + { + "epoch": 0.39, + "learning_rate": 0.0015500376222723853, + "loss": 0.6985, + "step": 1030 + }, + { + "epoch": 0.39, + "learning_rate": 0.0015650865312264862, + "loss": 0.7143, + "step": 1040 + }, + { + "epoch": 0.4, + "learning_rate": 0.001580135440180587, + "loss": 0.697, + "step": 1050 + }, + { + "epoch": 0.4, + "learning_rate": 0.0015951843491346879, + "loss": 0.6959, + "step": 1060 + }, + { + "epoch": 0.4, + "learning_rate": 0.0016102332580887886, + "loss": 0.6934, + "step": 1070 + }, + { + "epoch": 0.41, + "learning_rate": 0.0016252821670428895, + "loss": 0.6992, + "step": 1080 + }, + { + "epoch": 0.41, + "learning_rate": 0.0016403310759969902, + "loss": 0.691, + "step": 1090 + }, + { + "epoch": 0.41, + "learning_rate": 0.0016553799849510912, + "loss": 0.6852, + "step": 1100 + }, + { + "epoch": 0.42, + "learning_rate": 0.001670428893905192, + "loss": 0.7017, + "step": 1110 + }, + { + "epoch": 0.42, + "learning_rate": 0.0016854778028592928, + "loss": 0.693, + "step": 1120 + }, + { + "epoch": 0.43, + "learning_rate": 0.0017005267118133935, + "loss": 0.6965, + "step": 1130 + }, + { + "epoch": 0.43, + "learning_rate": 0.0017155756207674945, + "loss": 0.6937, + "step": 1140 + }, + { + "epoch": 0.43, + "learning_rate": 0.0017306245297215952, + "loss": 0.7005, + "step": 1150 + }, + { + "epoch": 0.44, + "learning_rate": 0.0017456734386756961, + "loss": 0.6956, + "step": 1160 + }, + { + "epoch": 0.44, + "learning_rate": 0.0017607223476297968, + "loss": 0.6928, + "step": 1170 + }, + { + "epoch": 0.44, + "learning_rate": 0.0017757712565838978, + "loss": 0.6934, + "step": 1180 + }, + { + "epoch": 0.45, + "learning_rate": 0.0017908201655379985, + "loss": 0.7013, + "step": 1190 + }, + { + "epoch": 0.45, + "learning_rate": 0.0018058690744920994, + "loss": 0.698, + "step": 1200 + }, + { + "epoch": 0.46, + "learning_rate": 0.0018209179834462001, + "loss": 0.6863, + "step": 1210 + }, + { + "epoch": 0.46, + "learning_rate": 0.001835966892400301, + "loss": 0.6931, + "step": 1220 + }, + { + "epoch": 0.46, + "learning_rate": 0.0018510158013544018, + "loss": 0.6951, + "step": 1230 + }, + { + "epoch": 0.47, + "learning_rate": 0.0018660647103085027, + "loss": 0.694, + "step": 1240 + }, + { + "epoch": 0.47, + "learning_rate": 0.0018811136192626034, + "loss": 0.6931, + "step": 1250 + }, + { + "epoch": 0.47, + "learning_rate": 0.0018961625282167044, + "loss": 0.6925, + "step": 1260 + }, + { + "epoch": 0.48, + "learning_rate": 0.001911211437170805, + "loss": 0.695, + "step": 1270 + }, + { + "epoch": 0.48, + "learning_rate": 0.001926260346124906, + "loss": 0.6915, + "step": 1280 + }, + { + "epoch": 0.49, + "learning_rate": 0.0019413092550790067, + "loss": 0.694, + "step": 1290 + }, + { + "epoch": 0.49, + "learning_rate": 0.0019563581640331075, + "loss": 0.6902, + "step": 1300 + }, + { + "epoch": 0.49, + "learning_rate": 0.0019714070729872084, + "loss": 0.6961, + "step": 1310 + }, + { + "epoch": 0.5, + "learning_rate": 0.0019864559819413093, + "loss": 0.6944, + "step": 1320 + }, + { + "epoch": 0.5, + "learning_rate": 0.001999999965477842, + "loss": 0.6952, + "step": 1330 + }, + { + "epoch": 0.5, + "learning_rate": 0.0019999958228217795, + "loss": 0.685, + "step": 1340 + }, + { + "epoch": 0.51, + "learning_rate": 0.001999984775766913, + "loss": 0.6935, + "step": 1350 + }, + { + "epoch": 0.51, + "learning_rate": 0.0019999668243895164, + "loss": 0.6931, + "step": 1360 + }, + { + "epoch": 0.52, + "learning_rate": 0.0019999419688135336, + "loss": 0.6905, + "step": 1370 + }, + { + "epoch": 0.52, + "learning_rate": 0.001999910209210578, + "loss": 0.6937, + "step": 1380 + }, + { + "epoch": 0.52, + "learning_rate": 0.001999871545799931, + "loss": 0.6893, + "step": 1390 + }, + { + "epoch": 0.53, + "learning_rate": 0.0019998259788485424, + "loss": 0.6946, + "step": 1400 + }, + { + "epoch": 0.53, + "learning_rate": 0.0019997735086710253, + "loss": 0.6913, + "step": 1410 + }, + { + "epoch": 0.53, + "learning_rate": 0.001999714135629656, + "loss": 0.6934, + "step": 1420 + }, + { + "epoch": 0.54, + "learning_rate": 0.0019996478601343724, + "loss": 0.6917, + "step": 1430 + }, + { + "epoch": 0.54, + "learning_rate": 0.0019995746826427675, + "loss": 0.6967, + "step": 1440 + }, + { + "epoch": 0.55, + "learning_rate": 0.0019994946036600908, + "loss": 0.6893, + "step": 1450 + }, + { + "epoch": 0.55, + "learning_rate": 0.0019994076237392416, + "loss": 0.694, + "step": 1460 + }, + { + "epoch": 0.55, + "learning_rate": 0.0019993137434807665, + "loss": 0.6936, + "step": 1470 + }, + { + "epoch": 0.56, + "learning_rate": 0.0019992129635328553, + "loss": 0.6949, + "step": 1480 + }, + { + "epoch": 0.56, + "learning_rate": 0.001999105284591335, + "loss": 0.6946, + "step": 1490 + }, + { + "epoch": 0.56, + "learning_rate": 0.0019989907073996683, + "loss": 0.691, + "step": 1500 + }, + { + "epoch": 0.57, + "learning_rate": 0.001998869232748944, + "loss": 0.6935, + "step": 1510 + }, + { + "epoch": 0.57, + "learning_rate": 0.0019987408614778753, + "loss": 0.6934, + "step": 1520 + }, + { + "epoch": 0.58, + "learning_rate": 0.001998605594472793, + "loss": 0.6913, + "step": 1530 + }, + { + "epoch": 0.58, + "learning_rate": 0.001998463432667638, + "loss": 0.6945, + "step": 1540 + }, + { + "epoch": 0.58, + "learning_rate": 0.0019983143770439557, + "loss": 0.6966, + "step": 1550 + }, + { + "epoch": 0.59, + "learning_rate": 0.00199815842863089, + "loss": 0.6945, + "step": 1560 + }, + { + "epoch": 0.59, + "learning_rate": 0.0019979955885051763, + "loss": 0.691, + "step": 1570 + }, + { + "epoch": 0.59, + "learning_rate": 0.0019978258577911315, + "loss": 0.6933, + "step": 1580 + }, + { + "epoch": 0.6, + "learning_rate": 0.0019976492376606496, + "loss": 0.6921, + "step": 1590 + }, + { + "epoch": 0.6, + "learning_rate": 0.0019974657293331914, + "loss": 0.6867, + "step": 1600 + }, + { + "epoch": 0.61, + "learning_rate": 0.0019972753340757763, + "loss": 0.6898, + "step": 1610 + }, + { + "epoch": 0.61, + "learning_rate": 0.0019970780532029752, + "loss": 0.6981, + "step": 1620 + }, + { + "epoch": 0.61, + "learning_rate": 0.0019968738880768995, + "loss": 0.6923, + "step": 1630 + }, + { + "epoch": 0.62, + "learning_rate": 0.0019966628401071928, + "loss": 0.6938, + "step": 1640 + }, + { + "epoch": 0.62, + "learning_rate": 0.0019964449107510197, + "loss": 0.6926, + "step": 1650 + }, + { + "epoch": 0.62, + "learning_rate": 0.0019962201015130587, + "loss": 0.6921, + "step": 1660 + }, + { + "epoch": 0.63, + "learning_rate": 0.0019959884139454883, + "loss": 0.6929, + "step": 1670 + }, + { + "epoch": 0.63, + "learning_rate": 0.0019957498496479785, + "loss": 0.695, + "step": 1680 + }, + { + "epoch": 0.64, + "learning_rate": 0.0019955044102676796, + "loss": 0.6921, + "step": 1690 + }, + { + "epoch": 0.64, + "learning_rate": 0.0019952520974992095, + "loss": 0.6956, + "step": 1700 + }, + { + "epoch": 0.64, + "learning_rate": 0.001994992913084644, + "loss": 0.693, + "step": 1710 + }, + { + "epoch": 0.65, + "learning_rate": 0.001994726858813503, + "loss": 0.6938, + "step": 1720 + }, + { + "epoch": 0.65, + "learning_rate": 0.001994453936522739, + "loss": 0.6935, + "step": 1730 + }, + { + "epoch": 0.65, + "learning_rate": 0.0019941741480967237, + "loss": 0.6934, + "step": 1740 + }, + { + "epoch": 0.66, + "learning_rate": 0.001993887495467237, + "loss": 0.6932, + "step": 1750 + }, + { + "epoch": 0.66, + "learning_rate": 0.0019935939806134504, + "loss": 0.6933, + "step": 1760 + }, + { + "epoch": 0.67, + "learning_rate": 0.0019932936055619163, + "loss": 0.6933, + "step": 1770 + }, + { + "epoch": 0.67, + "learning_rate": 0.001992986372386552, + "loss": 0.693, + "step": 1780 + }, + { + "epoch": 0.67, + "learning_rate": 0.001992672283208628, + "loss": 0.6934, + "step": 1790 + }, + { + "epoch": 0.68, + "learning_rate": 0.001992351340196749, + "loss": 0.6929, + "step": 1800 + }, + { + "epoch": 0.68, + "learning_rate": 0.0019920235455668433, + "loss": 0.693, + "step": 1810 + }, + { + "epoch": 0.68, + "learning_rate": 0.0019916889015821455, + "loss": 0.6924, + "step": 1820 + }, + { + "epoch": 0.69, + "learning_rate": 0.0019913474105531805, + "loss": 0.6953, + "step": 1830 + }, + { + "epoch": 0.69, + "learning_rate": 0.0019909990748377482, + "loss": 0.6941, + "step": 1840 + }, + { + "epoch": 0.7, + "learning_rate": 0.0019906438968409074, + "loss": 0.6936, + "step": 1850 + }, + { + "epoch": 0.7, + "learning_rate": 0.0019902818790149593, + "loss": 0.6922, + "step": 1860 + }, + { + "epoch": 0.7, + "learning_rate": 0.001989913023859429, + "loss": 0.6921, + "step": 1870 + }, + { + "epoch": 0.71, + "learning_rate": 0.0019895373339210514, + "loss": 0.6854, + "step": 1880 + }, + { + "epoch": 0.71, + "learning_rate": 0.0019891548117937498, + "loss": 0.6922, + "step": 1890 + }, + { + "epoch": 0.72, + "learning_rate": 0.00198876546011862, + "loss": 0.7152, + "step": 1900 + }, + { + "epoch": 0.72, + "learning_rate": 0.0019883692815839136, + "loss": 0.6951, + "step": 1910 + }, + { + "epoch": 0.72, + "learning_rate": 0.0019879662789250158, + "loss": 0.7333, + "step": 1920 + }, + { + "epoch": 0.73, + "learning_rate": 0.0019875564549244294, + "loss": 0.8859, + "step": 1930 + }, + { + "epoch": 0.73, + "learning_rate": 0.0019871398124117552, + "loss": 0.7755, + "step": 1940 + }, + { + "epoch": 0.73, + "learning_rate": 0.0019867163542636704, + "loss": 0.6947, + "step": 1950 + }, + { + "epoch": 0.74, + "learning_rate": 0.001986286083403912, + "loss": 0.6954, + "step": 1960 + }, + { + "epoch": 0.74, + "learning_rate": 0.0019858490028032533, + "loss": 0.6845, + "step": 1970 + }, + { + "epoch": 0.75, + "learning_rate": 0.001985405115479486, + "loss": 0.7309, + "step": 1980 + }, + { + "epoch": 0.75, + "learning_rate": 0.001984954424497398, + "loss": 0.6955, + "step": 1990 + }, + { + "epoch": 0.75, + "learning_rate": 0.0019844969329687527, + "loss": 0.6931, + "step": 2000 + }, + { + "epoch": 0.76, + "learning_rate": 0.0019840326440522665, + "loss": 0.6959, + "step": 2010 + }, + { + "epoch": 0.76, + "learning_rate": 0.0019835615609535896, + "loss": 0.7009, + "step": 2020 + }, + { + "epoch": 0.76, + "learning_rate": 0.001983083686925281, + "loss": 0.6944, + "step": 2030 + }, + { + "epoch": 0.77, + "learning_rate": 0.001982599025266787, + "loss": 0.6921, + "step": 2040 + }, + { + "epoch": 0.77, + "learning_rate": 0.001982107579324419, + "loss": 0.6901, + "step": 2050 + }, + { + "epoch": 0.78, + "learning_rate": 0.0019816093524913305, + "loss": 0.6989, + "step": 2060 + }, + { + "epoch": 0.78, + "learning_rate": 0.001981104348207492, + "loss": 0.6946, + "step": 2070 + }, + { + "epoch": 0.78, + "learning_rate": 0.001980592569959669, + "loss": 0.6934, + "step": 2080 + }, + { + "epoch": 0.79, + "learning_rate": 0.0019800740212813977, + "loss": 0.6943, + "step": 2090 + }, + { + "epoch": 0.79, + "learning_rate": 0.00197954870575296, + "loss": 0.693, + "step": 2100 + }, + { + "epoch": 0.79, + "learning_rate": 0.0019790166270013585, + "loss": 0.6933, + "step": 2110 + }, + { + "epoch": 0.8, + "learning_rate": 0.0019784777887002928, + "loss": 0.6935, + "step": 2120 + }, + { + "epoch": 0.8, + "learning_rate": 0.001977932194570133, + "loss": 0.6927, + "step": 2130 + }, + { + "epoch": 0.81, + "learning_rate": 0.001977379848377894, + "loss": 0.6936, + "step": 2140 + }, + { + "epoch": 0.81, + "learning_rate": 0.0019768207539372106, + "loss": 0.6937, + "step": 2150 + }, + { + "epoch": 0.81, + "learning_rate": 0.001976254915108309, + "loss": 0.6924, + "step": 2160 + }, + { + "epoch": 0.82, + "learning_rate": 0.001975682335797984, + "loss": 0.694, + "step": 2170 + }, + { + "epoch": 0.82, + "learning_rate": 0.0019751030199595663, + "loss": 0.6942, + "step": 2180 + }, + { + "epoch": 0.82, + "learning_rate": 0.0019745169715929016, + "loss": 0.6933, + "step": 2190 + }, + { + "epoch": 0.83, + "learning_rate": 0.001973924194744317, + "loss": 0.6935, + "step": 2200 + }, + { + "epoch": 0.83, + "learning_rate": 0.001973324693506599, + "loss": 0.6926, + "step": 2210 + }, + { + "epoch": 0.84, + "learning_rate": 0.0019727184720189595, + "loss": 0.6913, + "step": 2220 + }, + { + "epoch": 0.84, + "learning_rate": 0.001972105534467011, + "loss": 0.6933, + "step": 2230 + }, + { + "epoch": 0.84, + "learning_rate": 0.0019714858850827365, + "loss": 0.683, + "step": 2240 + }, + { + "epoch": 0.85, + "learning_rate": 0.0019708595281444606, + "loss": 0.6899, + "step": 2250 + }, + { + "epoch": 0.85, + "learning_rate": 0.001970226467976819, + "loss": 0.6823, + "step": 2260 + }, + { + "epoch": 0.85, + "learning_rate": 0.0019695867089507303, + "loss": 0.6966, + "step": 2270 + }, + { + "epoch": 0.86, + "learning_rate": 0.0019689402554833643, + "loss": 0.6996, + "step": 2280 + }, + { + "epoch": 0.86, + "learning_rate": 0.001968287112038112, + "loss": 0.6908, + "step": 2290 + }, + { + "epoch": 0.87, + "learning_rate": 0.001967627283124555, + "loss": 0.6949, + "step": 2300 + }, + { + "epoch": 0.87, + "learning_rate": 0.001966960773298435, + "loss": 0.6946, + "step": 2310 + }, + { + "epoch": 0.87, + "learning_rate": 0.00196628758716162, + "loss": 0.6923, + "step": 2320 + }, + { + "epoch": 0.88, + "learning_rate": 0.001965607729362075, + "loss": 0.6897, + "step": 2330 + }, + { + "epoch": 0.88, + "learning_rate": 0.0019649212045938294, + "loss": 0.6915, + "step": 2340 + }, + { + "epoch": 0.88, + "learning_rate": 0.001964228017596944, + "loss": 0.6869, + "step": 2350 + }, + { + "epoch": 0.89, + "learning_rate": 0.0019635281731574775, + "loss": 0.6827, + "step": 2360 + }, + { + "epoch": 0.89, + "learning_rate": 0.0019628216761074556, + "loss": 0.6839, + "step": 2370 + }, + { + "epoch": 0.9, + "learning_rate": 0.0019621085313248367, + "loss": 0.6982, + "step": 2380 + }, + { + "epoch": 0.9, + "learning_rate": 0.0019613887437334764, + "loss": 0.6873, + "step": 2390 + }, + { + "epoch": 0.9, + "learning_rate": 0.001960662318303096, + "loss": 0.7014, + "step": 2400 + }, + { + "epoch": 0.91, + "learning_rate": 0.001959929260049248, + "loss": 0.6921, + "step": 2410 + }, + { + "epoch": 0.91, + "learning_rate": 0.00195918957403328, + "loss": 0.6934, + "step": 2420 + }, + { + "epoch": 0.91, + "learning_rate": 0.0019584432653623005, + "loss": 0.6919, + "step": 2430 + }, + { + "epoch": 0.92, + "learning_rate": 0.001957690339189143, + "loss": 0.7, + "step": 2440 + }, + { + "epoch": 0.92, + "learning_rate": 0.0019569308007123328, + "loss": 0.6966, + "step": 2450 + }, + { + "epoch": 0.93, + "learning_rate": 0.0019561646551760478, + "loss": 0.694, + "step": 2460 + }, + { + "epoch": 0.93, + "learning_rate": 0.0019553919078700846, + "loss": 0.691, + "step": 2470 + }, + { + "epoch": 0.93, + "learning_rate": 0.0019546125641298207, + "loss": 0.7014, + "step": 2480 + }, + { + "epoch": 0.94, + "learning_rate": 0.001953826629336179, + "loss": 0.6845, + "step": 2490 + }, + { + "epoch": 0.94, + "learning_rate": 0.0019530341089155892, + "loss": 0.6948, + "step": 2500 + }, + { + "epoch": 0.94, + "learning_rate": 0.0019522350083399516, + "loss": 0.6923, + "step": 2510 + }, + { + "epoch": 0.95, + "learning_rate": 0.0019514293331265977, + "loss": 0.6866, + "step": 2520 + }, + { + "epoch": 0.95, + "learning_rate": 0.0019506170888382544, + "loss": 0.69, + "step": 2530 + }, + { + "epoch": 0.96, + "learning_rate": 0.0019497982810830028, + "loss": 0.6961, + "step": 2540 + }, + { + "epoch": 0.96, + "learning_rate": 0.0019489729155142423, + "loss": 0.6899, + "step": 2550 + }, + { + "epoch": 0.96, + "learning_rate": 0.0019481409978306496, + "loss": 0.6959, + "step": 2560 + }, + { + "epoch": 0.97, + "learning_rate": 0.0019473025337761408, + "loss": 0.6955, + "step": 2570 + }, + { + "epoch": 0.97, + "learning_rate": 0.001946457529139829, + "loss": 0.6928, + "step": 2580 + }, + { + "epoch": 0.97, + "learning_rate": 0.0019456059897559887, + "loss": 0.694, + "step": 2590 + }, + { + "epoch": 0.98, + "learning_rate": 0.0019447479215040113, + "loss": 0.6924, + "step": 2600 + }, + { + "epoch": 0.98, + "learning_rate": 0.0019438833303083677, + "loss": 0.6933, + "step": 2610 + }, + { + "epoch": 0.99, + "learning_rate": 0.0019430122221385645, + "loss": 0.6842, + "step": 2620 + }, + { + "epoch": 0.99, + "learning_rate": 0.0019421346030091052, + "loss": 0.6916, + "step": 2630 + }, + { + "epoch": 0.99, + "learning_rate": 0.0019412504789794477, + "loss": 0.6916, + "step": 2640 + }, + { + "epoch": 1.0, + "learning_rate": 0.0019403598561539624, + "loss": 0.6924, + "step": 2650 + }, + { + "epoch": 1.0, + "eval_accuracy": 0.504, + "eval_loss": 0.6922000050544739, + "eval_runtime": 38.3652, + "eval_samples_per_second": 97.745, + "eval_steps_per_second": 12.225, + "step": 2657 + }, + { + "epoch": 1.0, + "learning_rate": 0.0019394627406818903, + "loss": 0.6941, + "step": 2660 + }, + { + "epoch": 1.0, + "learning_rate": 0.0019385591387572998, + "loss": 0.6897, + "step": 2670 + }, + { + "epoch": 1.01, + "learning_rate": 0.0019376490566190454, + "loss": 0.6907, + "step": 2680 + }, + { + "epoch": 1.01, + "learning_rate": 0.0019367325005507233, + "loss": 0.6996, + "step": 2690 + }, + { + "epoch": 1.02, + "learning_rate": 0.0019358094768806287, + "loss": 0.6957, + "step": 2700 + }, + { + "epoch": 1.02, + "learning_rate": 0.0019348799919817114, + "loss": 0.6968, + "step": 2710 + }, + { + "epoch": 1.02, + "learning_rate": 0.0019339440522715327, + "loss": 0.6899, + "step": 2720 + }, + { + "epoch": 1.03, + "learning_rate": 0.0019330016642122212, + "loss": 0.6922, + "step": 2730 + }, + { + "epoch": 1.03, + "learning_rate": 0.0019320528343104262, + "loss": 0.692, + "step": 2740 + }, + { + "epoch": 1.04, + "learning_rate": 0.0019310975691172753, + "loss": 0.6929, + "step": 2750 + }, + { + "epoch": 1.04, + "learning_rate": 0.0019301358752283285, + "loss": 0.6943, + "step": 2760 + }, + { + "epoch": 1.04, + "learning_rate": 0.0019291677592835313, + "loss": 0.6964, + "step": 2770 + }, + { + "epoch": 1.05, + "learning_rate": 0.0019281932279671698, + "loss": 0.6955, + "step": 2780 + }, + { + "epoch": 1.05, + "learning_rate": 0.0019272122880078255, + "loss": 0.6942, + "step": 2790 + }, + { + "epoch": 1.05, + "learning_rate": 0.0019262249461783273, + "loss": 0.6941, + "step": 2800 + }, + { + "epoch": 1.06, + "learning_rate": 0.0019252312092957055, + "loss": 0.6931, + "step": 2810 + }, + { + "epoch": 1.06, + "learning_rate": 0.0019242310842211442, + "loss": 0.6927, + "step": 2820 + }, + { + "epoch": 1.07, + "learning_rate": 0.0019232245778599345, + "loss": 0.694, + "step": 2830 + }, + { + "epoch": 1.07, + "learning_rate": 0.001922211697161427, + "loss": 0.6935, + "step": 2840 + }, + { + "epoch": 1.07, + "learning_rate": 0.0019211924491189835, + "loss": 0.6931, + "step": 2850 + }, + { + "epoch": 1.08, + "learning_rate": 0.0019201668407699275, + "loss": 0.6933, + "step": 2860 + }, + { + "epoch": 1.08, + "learning_rate": 0.0019191348791954988, + "loss": 0.6932, + "step": 2870 + }, + { + "epoch": 1.08, + "learning_rate": 0.0019180965715208003, + "loss": 0.693, + "step": 2880 + }, + { + "epoch": 1.09, + "learning_rate": 0.0019170519249147532, + "loss": 0.6929, + "step": 2890 + }, + { + "epoch": 1.09, + "learning_rate": 0.0019160009465900437, + "loss": 0.6921, + "step": 2900 + }, + { + "epoch": 1.1, + "learning_rate": 0.0019149436438030756, + "loss": 0.6941, + "step": 2910 + }, + { + "epoch": 1.1, + "learning_rate": 0.00191388002385392, + "loss": 0.6937, + "step": 2920 + }, + { + "epoch": 1.1, + "learning_rate": 0.0019128100940862636, + "loss": 0.6909, + "step": 2930 + }, + { + "epoch": 1.11, + "learning_rate": 0.0019117338618873587, + "loss": 0.6943, + "step": 2940 + }, + { + "epoch": 1.11, + "learning_rate": 0.0019106513346879735, + "loss": 0.695, + "step": 2950 + }, + { + "epoch": 1.11, + "learning_rate": 0.0019095625199623378, + "loss": 0.6931, + "step": 2960 + }, + { + "epoch": 1.12, + "learning_rate": 0.001908467425228095, + "loss": 0.6915, + "step": 2970 + }, + { + "epoch": 1.12, + "learning_rate": 0.0019073660580462466, + "loss": 0.6907, + "step": 2980 + }, + { + "epoch": 1.13, + "learning_rate": 0.001906258426021103, + "loss": 0.6924, + "step": 2990 + }, + { + "epoch": 1.13, + "learning_rate": 0.0019051445368002296, + "loss": 0.6877, + "step": 3000 + }, + { + "epoch": 1.13, + "learning_rate": 0.0019040243980743936, + "loss": 0.7014, + "step": 3010 + }, + { + "epoch": 1.14, + "learning_rate": 0.0019028980175775118, + "loss": 0.6954, + "step": 3020 + }, + { + "epoch": 1.14, + "learning_rate": 0.001901765403086597, + "loss": 0.6839, + "step": 3030 + }, + { + "epoch": 1.14, + "learning_rate": 0.001900626562421704, + "loss": 0.6973, + "step": 3040 + }, + { + "epoch": 1.15, + "learning_rate": 0.0018994815034458754, + "loss": 0.6955, + "step": 3050 + }, + { + "epoch": 1.15, + "learning_rate": 0.0018983302340650889, + "loss": 0.6927, + "step": 3060 + }, + { + "epoch": 1.16, + "learning_rate": 0.0018971727622281995, + "loss": 0.6924, + "step": 3070 + }, + { + "epoch": 1.16, + "learning_rate": 0.0018960090959268885, + "loss": 0.693, + "step": 3080 + }, + { + "epoch": 1.16, + "learning_rate": 0.0018948392431956057, + "loss": 0.6958, + "step": 3090 + }, + { + "epoch": 1.17, + "learning_rate": 0.0018936632121115142, + "loss": 0.6932, + "step": 3100 + }, + { + "epoch": 1.17, + "learning_rate": 0.0018924810107944362, + "loss": 0.693, + "step": 3110 + }, + { + "epoch": 1.17, + "learning_rate": 0.0018912926474067943, + "loss": 0.6938, + "step": 3120 + }, + { + "epoch": 1.18, + "learning_rate": 0.001890098130153558, + "loss": 0.6848, + "step": 3130 + }, + { + "epoch": 1.18, + "learning_rate": 0.0018888974672821854, + "loss": 0.6917, + "step": 3140 + }, + { + "epoch": 1.19, + "learning_rate": 0.0018876906670825663, + "loss": 0.6941, + "step": 3150 + }, + { + "epoch": 1.19, + "learning_rate": 0.0018864777378869652, + "loss": 0.6902, + "step": 3160 + }, + { + "epoch": 1.19, + "learning_rate": 0.0018852586880699638, + "loss": 0.6952, + "step": 3170 + }, + { + "epoch": 1.2, + "learning_rate": 0.0018840335260484039, + "loss": 0.6947, + "step": 3180 + }, + { + "epoch": 1.2, + "learning_rate": 0.0018828022602813276, + "loss": 0.6905, + "step": 3190 + }, + { + "epoch": 1.2, + "learning_rate": 0.0018815648992699203, + "loss": 0.6915, + "step": 3200 + }, + { + "epoch": 1.21, + "learning_rate": 0.0018803214515574521, + "loss": 0.6943, + "step": 3210 + }, + { + "epoch": 1.21, + "learning_rate": 0.0018790719257292172, + "loss": 0.6906, + "step": 3220 + }, + { + "epoch": 1.22, + "learning_rate": 0.0018778163304124765, + "loss": 0.6973, + "step": 3230 + }, + { + "epoch": 1.22, + "learning_rate": 0.001876554674276397, + "loss": 0.6928, + "step": 3240 + }, + { + "epoch": 1.22, + "learning_rate": 0.001875286966031992, + "loss": 0.695, + "step": 3250 + }, + { + "epoch": 1.23, + "learning_rate": 0.0018740132144320616, + "loss": 0.6846, + "step": 3260 + }, + { + "epoch": 1.23, + "learning_rate": 0.0018727334282711318, + "loss": 0.6941, + "step": 3270 + }, + { + "epoch": 1.23, + "learning_rate": 0.0018714476163853929, + "loss": 0.6929, + "step": 3280 + }, + { + "epoch": 1.24, + "learning_rate": 0.0018701557876526402, + "loss": 0.6941, + "step": 3290 + }, + { + "epoch": 1.24, + "learning_rate": 0.001868857950992212, + "loss": 0.6923, + "step": 3300 + }, + { + "epoch": 1.25, + "learning_rate": 0.0018675541153649277, + "loss": 0.6941, + "step": 3310 + }, + { + "epoch": 1.25, + "learning_rate": 0.0018662442897730256, + "loss": 0.6907, + "step": 3320 + }, + { + "epoch": 1.25, + "learning_rate": 0.0018649284832601021, + "loss": 0.6945, + "step": 3330 + }, + { + "epoch": 1.26, + "learning_rate": 0.001863606704911048, + "loss": 0.6894, + "step": 3340 + }, + { + "epoch": 1.26, + "learning_rate": 0.001862278963851986, + "loss": 0.6922, + "step": 3350 + }, + { + "epoch": 1.26, + "learning_rate": 0.0018609452692502084, + "loss": 0.6876, + "step": 3360 + }, + { + "epoch": 1.27, + "learning_rate": 0.0018596056303141133, + "loss": 0.693, + "step": 3370 + }, + { + "epoch": 1.27, + "learning_rate": 0.0018582600562931405, + "loss": 0.692, + "step": 3380 + }, + { + "epoch": 1.28, + "learning_rate": 0.001856908556477708, + "loss": 0.6969, + "step": 3390 + }, + { + "epoch": 1.28, + "learning_rate": 0.0018555511401991498, + "loss": 0.6972, + "step": 3400 + }, + { + "epoch": 1.28, + "learning_rate": 0.001854187816829647, + "loss": 0.6985, + "step": 3410 + }, + { + "epoch": 1.29, + "learning_rate": 0.0018528185957821682, + "loss": 0.6846, + "step": 3420 + }, + { + "epoch": 1.29, + "learning_rate": 0.0018514434865104007, + "loss": 0.6961, + "step": 3430 + }, + { + "epoch": 1.29, + "learning_rate": 0.0018500624985086863, + "loss": 0.6936, + "step": 3440 + }, + { + "epoch": 1.3, + "learning_rate": 0.0018486756413119577, + "loss": 0.6932, + "step": 3450 + }, + { + "epoch": 1.3, + "learning_rate": 0.0018472829244956695, + "loss": 0.693, + "step": 3460 + }, + { + "epoch": 1.31, + "learning_rate": 0.0018458843576757344, + "loss": 0.693, + "step": 3470 + }, + { + "epoch": 1.31, + "learning_rate": 0.001844479950508456, + "loss": 0.6942, + "step": 3480 + }, + { + "epoch": 1.31, + "learning_rate": 0.0018430697126904617, + "loss": 0.6936, + "step": 3490 + }, + { + "epoch": 1.32, + "learning_rate": 0.0018416536539586363, + "loss": 0.6939, + "step": 3500 + }, + { + "epoch": 1.32, + "learning_rate": 0.0018402317840900554, + "loss": 0.6933, + "step": 3510 + }, + { + "epoch": 1.32, + "learning_rate": 0.001838804112901916, + "loss": 0.6933, + "step": 3520 + }, + { + "epoch": 1.33, + "learning_rate": 0.0018373706502514708, + "loss": 0.693, + "step": 3530 + }, + { + "epoch": 1.33, + "learning_rate": 0.0018359314060359595, + "loss": 0.6936, + "step": 3540 + }, + { + "epoch": 1.34, + "learning_rate": 0.0018344863901925388, + "loss": 0.6929, + "step": 3550 + }, + { + "epoch": 1.34, + "learning_rate": 0.0018330356126982164, + "loss": 0.6918, + "step": 3560 + }, + { + "epoch": 1.34, + "learning_rate": 0.0018315790835697805, + "loss": 0.8642, + "step": 3570 + }, + { + "epoch": 1.35, + "learning_rate": 0.001830116812863731, + "loss": 0.695, + "step": 3580 + }, + { + "epoch": 1.35, + "learning_rate": 0.0018286488106762104, + "loss": 0.6891, + "step": 3590 + }, + { + "epoch": 1.35, + "learning_rate": 0.0018271750871429336, + "loss": 0.6978, + "step": 3600 + }, + { + "epoch": 1.36, + "learning_rate": 0.0018256956524391177, + "loss": 0.6919, + "step": 3610 + }, + { + "epoch": 1.36, + "learning_rate": 0.001824210516779413, + "loss": 0.6963, + "step": 3620 + }, + { + "epoch": 1.37, + "learning_rate": 0.001822719690417831, + "loss": 0.6924, + "step": 3630 + }, + { + "epoch": 1.37, + "learning_rate": 0.0018212231836476744, + "loss": 0.6923, + "step": 3640 + }, + { + "epoch": 1.37, + "learning_rate": 0.001819721006801466, + "loss": 0.6926, + "step": 3650 + }, + { + "epoch": 1.38, + "learning_rate": 0.0018182131702508776, + "loss": 0.693, + "step": 3660 + }, + { + "epoch": 1.38, + "learning_rate": 0.0018166996844066565, + "loss": 0.6935, + "step": 3670 + }, + { + "epoch": 1.39, + "learning_rate": 0.001815180559718557, + "loss": 0.6959, + "step": 3680 + }, + { + "epoch": 1.39, + "learning_rate": 0.0018136558066752656, + "loss": 0.6903, + "step": 3690 + }, + { + "epoch": 1.39, + "learning_rate": 0.0018121254358043292, + "loss": 0.6911, + "step": 3700 + }, + { + "epoch": 1.4, + "learning_rate": 0.0018105894576720823, + "loss": 0.6977, + "step": 3710 + }, + { + "epoch": 1.4, + "learning_rate": 0.0018090478828835758, + "loss": 0.6919, + "step": 3720 + }, + { + "epoch": 1.4, + "learning_rate": 0.0018075007220825002, + "loss": 0.696, + "step": 3730 + }, + { + "epoch": 1.41, + "learning_rate": 0.001805947985951116, + "loss": 0.692, + "step": 3740 + }, + { + "epoch": 1.41, + "learning_rate": 0.001804389685210177, + "loss": 0.6922, + "step": 3750 + }, + { + "epoch": 1.42, + "learning_rate": 0.0018028258306188583, + "loss": 0.6903, + "step": 3760 + }, + { + "epoch": 1.42, + "learning_rate": 0.0018012564329746808, + "loss": 0.6894, + "step": 3770 + }, + { + "epoch": 1.42, + "learning_rate": 0.0017996815031134368, + "loss": 0.6913, + "step": 3780 + }, + { + "epoch": 1.43, + "learning_rate": 0.0017981010519091155, + "loss": 0.6868, + "step": 3790 + }, + { + "epoch": 1.43, + "learning_rate": 0.001796515090273828, + "loss": 0.6929, + "step": 3800 + }, + { + "epoch": 1.43, + "learning_rate": 0.0017949236291577315, + "loss": 0.6899, + "step": 3810 + }, + { + "epoch": 1.44, + "learning_rate": 0.0017933266795489545, + "loss": 0.7009, + "step": 3820 + }, + { + "epoch": 1.44, + "learning_rate": 0.0017917242524735197, + "loss": 0.7007, + "step": 3830 + }, + { + "epoch": 1.45, + "learning_rate": 0.001790116358995269, + "loss": 0.6912, + "step": 3840 + }, + { + "epoch": 1.45, + "learning_rate": 0.0017885030102157869, + "loss": 0.6891, + "step": 3850 + }, + { + "epoch": 1.45, + "learning_rate": 0.0017868842172743228, + "loss": 0.6999, + "step": 3860 + }, + { + "epoch": 1.46, + "learning_rate": 0.0017852599913477155, + "loss": 0.6949, + "step": 3870 + }, + { + "epoch": 1.46, + "learning_rate": 0.0017836303436503155, + "loss": 0.6984, + "step": 3880 + }, + { + "epoch": 1.46, + "learning_rate": 0.0017819952854339074, + "loss": 0.6908, + "step": 3890 + }, + { + "epoch": 1.47, + "learning_rate": 0.0017803548279876325, + "loss": 0.7009, + "step": 3900 + }, + { + "epoch": 1.47, + "learning_rate": 0.0017787089826379104, + "loss": 0.7282, + "step": 3910 + }, + { + "epoch": 1.48, + "learning_rate": 0.0017770577607483613, + "loss": 0.7153, + "step": 3920 + }, + { + "epoch": 1.48, + "learning_rate": 0.001775401173719727, + "loss": 0.7886, + "step": 3930 + }, + { + "epoch": 1.48, + "learning_rate": 0.0017737392329897931, + "loss": 0.707, + "step": 3940 + }, + { + "epoch": 1.49, + "learning_rate": 0.001772071950033309, + "loss": 0.7407, + "step": 3950 + }, + { + "epoch": 1.49, + "learning_rate": 0.0017703993363619092, + "loss": 0.7577, + "step": 3960 + }, + { + "epoch": 1.49, + "learning_rate": 0.0017687214035240343, + "loss": 0.7342, + "step": 3970 + }, + { + "epoch": 1.5, + "learning_rate": 0.0017670381631048491, + "loss": 0.6956, + "step": 3980 + }, + { + "epoch": 1.5, + "learning_rate": 0.0017653496267261662, + "loss": 0.7053, + "step": 3990 + }, + { + "epoch": 1.51, + "learning_rate": 0.0017636558060463625, + "loss": 0.6903, + "step": 4000 + }, + { + "epoch": 1.51, + "learning_rate": 0.0017619567127603003, + "loss": 0.6924, + "step": 4010 + }, + { + "epoch": 1.51, + "learning_rate": 0.0017602523585992463, + "loss": 0.6992, + "step": 4020 + }, + { + "epoch": 1.52, + "learning_rate": 0.0017585427553307904, + "loss": 0.6895, + "step": 4030 + }, + { + "epoch": 1.52, + "learning_rate": 0.001756827914758765, + "loss": 0.7226, + "step": 4040 + }, + { + "epoch": 1.52, + "learning_rate": 0.0017551078487231622, + "loss": 0.7086, + "step": 4050 + }, + { + "epoch": 1.53, + "learning_rate": 0.001753382569100054, + "loss": 0.7017, + "step": 4060 + }, + { + "epoch": 1.53, + "learning_rate": 0.0017516520878015085, + "loss": 0.6944, + "step": 4070 + }, + { + "epoch": 1.54, + "learning_rate": 0.0017499164167755087, + "loss": 0.6866, + "step": 4080 + }, + { + "epoch": 1.54, + "learning_rate": 0.0017481755680058698, + "loss": 0.6916, + "step": 4090 + }, + { + "epoch": 1.54, + "learning_rate": 0.0017464295535121555, + "loss": 0.6988, + "step": 4100 + }, + { + "epoch": 1.55, + "learning_rate": 0.001744678385349597, + "loss": 0.7135, + "step": 4110 + }, + { + "epoch": 1.55, + "learning_rate": 0.0017429220756090085, + "loss": 0.7316, + "step": 4120 + }, + { + "epoch": 1.55, + "learning_rate": 0.0017411606364167028, + "loss": 0.7037, + "step": 4130 + }, + { + "epoch": 1.56, + "learning_rate": 0.0017393940799344098, + "loss": 0.7085, + "step": 4140 + }, + { + "epoch": 1.56, + "learning_rate": 0.001737622418359191, + "loss": 0.706, + "step": 4150 + }, + { + "epoch": 1.57, + "learning_rate": 0.0017358456639233553, + "loss": 0.6924, + "step": 4160 + }, + { + "epoch": 1.57, + "learning_rate": 0.0017340638288943753, + "loss": 0.7171, + "step": 4170 + }, + { + "epoch": 1.57, + "learning_rate": 0.001732276925574802, + "loss": 0.71, + "step": 4180 + }, + { + "epoch": 1.58, + "learning_rate": 0.0017304849663021798, + "loss": 0.6981, + "step": 4190 + }, + { + "epoch": 1.58, + "learning_rate": 0.0017286879634489623, + "loss": 0.6916, + "step": 4200 + }, + { + "epoch": 1.58, + "learning_rate": 0.0017268859294224256, + "loss": 0.6921, + "step": 4210 + }, + { + "epoch": 1.59, + "learning_rate": 0.0017250788766645828, + "loss": 0.692, + "step": 4220 + }, + { + "epoch": 1.59, + "learning_rate": 0.0017232668176520997, + "loss": 0.6963, + "step": 4230 + }, + { + "epoch": 1.6, + "learning_rate": 0.0017214497648962057, + "loss": 0.6856, + "step": 4240 + }, + { + "epoch": 1.6, + "learning_rate": 0.0017196277309426105, + "loss": 0.6941, + "step": 4250 + }, + { + "epoch": 1.6, + "learning_rate": 0.0017178007283714161, + "loss": 0.6942, + "step": 4260 + }, + { + "epoch": 1.61, + "learning_rate": 0.001715968769797029, + "loss": 0.6926, + "step": 4270 + }, + { + "epoch": 1.61, + "learning_rate": 0.0017141318678680747, + "loss": 0.6929, + "step": 4280 + }, + { + "epoch": 1.61, + "learning_rate": 0.0017122900352673103, + "loss": 0.694, + "step": 4290 + }, + { + "epoch": 1.62, + "learning_rate": 0.001710443284711535, + "loss": 0.6938, + "step": 4300 + }, + { + "epoch": 1.62, + "learning_rate": 0.0017085916289515043, + "loss": 0.6934, + "step": 4310 + }, + { + "epoch": 1.63, + "learning_rate": 0.0017067350807718421, + "loss": 0.6932, + "step": 4320 + }, + { + "epoch": 1.63, + "learning_rate": 0.0017048736529909506, + "loss": 0.6845, + "step": 4330 + }, + { + "epoch": 1.63, + "learning_rate": 0.0017030073584609231, + "loss": 0.6933, + "step": 4340 + }, + { + "epoch": 1.64, + "learning_rate": 0.0017011362100674554, + "loss": 0.6932, + "step": 4350 + }, + { + "epoch": 1.64, + "learning_rate": 0.001699260220729756, + "loss": 0.6928, + "step": 4360 + }, + { + "epoch": 1.64, + "learning_rate": 0.0016973794034004577, + "loss": 0.6925, + "step": 4370 + }, + { + "epoch": 1.65, + "learning_rate": 0.0016954937710655274, + "loss": 0.6947, + "step": 4380 + }, + { + "epoch": 1.65, + "learning_rate": 0.0016936033367441774, + "loss": 0.6939, + "step": 4390 + }, + { + "epoch": 1.66, + "learning_rate": 0.0016917081134887747, + "loss": 0.6937, + "step": 4400 + }, + { + "epoch": 1.66, + "learning_rate": 0.0016898081143847507, + "loss": 0.6927, + "step": 4410 + }, + { + "epoch": 1.66, + "learning_rate": 0.0016879033525505126, + "loss": 0.692, + "step": 4420 + }, + { + "epoch": 1.67, + "learning_rate": 0.0016859938411373499, + "loss": 0.6924, + "step": 4430 + }, + { + "epoch": 1.67, + "learning_rate": 0.0016840795933293462, + "loss": 0.6933, + "step": 4440 + }, + { + "epoch": 1.67, + "learning_rate": 0.0016821606223432867, + "loss": 0.6923, + "step": 4450 + }, + { + "epoch": 1.68, + "learning_rate": 0.0016802369414285687, + "loss": 0.695, + "step": 4460 + }, + { + "epoch": 1.68, + "learning_rate": 0.0016783085638671068, + "loss": 0.6929, + "step": 4470 + }, + { + "epoch": 1.69, + "learning_rate": 0.001676375502973245, + "loss": 0.6954, + "step": 4480 + }, + { + "epoch": 1.69, + "learning_rate": 0.001674437772093662, + "loss": 0.6939, + "step": 4490 + }, + { + "epoch": 1.69, + "learning_rate": 0.0016724953846072807, + "loss": 0.6935, + "step": 4500 + }, + { + "epoch": 1.7, + "learning_rate": 0.0016705483539251748, + "loss": 0.6933, + "step": 4510 + }, + { + "epoch": 1.7, + "learning_rate": 0.0016685966934904767, + "loss": 0.6929, + "step": 4520 + }, + { + "epoch": 1.7, + "learning_rate": 0.001666640416778285, + "loss": 0.693, + "step": 4530 + }, + { + "epoch": 1.71, + "learning_rate": 0.0016646795372955703, + "loss": 0.6843, + "step": 4540 + }, + { + "epoch": 1.71, + "learning_rate": 0.0016627140685810833, + "loss": 0.6918, + "step": 4550 + }, + { + "epoch": 1.72, + "learning_rate": 0.0016607440242052606, + "loss": 0.6888, + "step": 4560 + }, + { + "epoch": 1.72, + "learning_rate": 0.001658769417770131, + "loss": 0.6933, + "step": 4570 + }, + { + "epoch": 1.72, + "learning_rate": 0.0016567902629092217, + "loss": 0.6934, + "step": 4580 + }, + { + "epoch": 1.73, + "learning_rate": 0.0016548065732874644, + "loss": 0.6847, + "step": 4590 + }, + { + "epoch": 1.73, + "learning_rate": 0.0016528183626011003, + "loss": 0.6931, + "step": 4600 + }, + { + "epoch": 1.74, + "learning_rate": 0.0016508256445775867, + "loss": 0.6937, + "step": 4610 + }, + { + "epoch": 1.74, + "learning_rate": 0.0016488284329755003, + "loss": 0.6928, + "step": 4620 + }, + { + "epoch": 1.74, + "learning_rate": 0.001646826741584445, + "loss": 0.6928, + "step": 4630 + }, + { + "epoch": 1.75, + "learning_rate": 0.001644820584224953, + "loss": 0.6938, + "step": 4640 + }, + { + "epoch": 1.75, + "learning_rate": 0.0016428099747483936, + "loss": 0.6921, + "step": 4650 + }, + { + "epoch": 1.75, + "learning_rate": 0.001640794927036874, + "loss": 0.6913, + "step": 4660 + }, + { + "epoch": 1.76, + "learning_rate": 0.0016387754550031457, + "loss": 0.6922, + "step": 4670 + }, + { + "epoch": 1.76, + "learning_rate": 0.0016367515725905066, + "loss": 0.6955, + "step": 4680 + }, + { + "epoch": 1.77, + "learning_rate": 0.0016347232937727072, + "loss": 0.6869, + "step": 4690 + }, + { + "epoch": 1.77, + "learning_rate": 0.0016326906325538513, + "loss": 0.6944, + "step": 4700 + }, + { + "epoch": 1.77, + "learning_rate": 0.0016306536029683013, + "loss": 0.6939, + "step": 4710 + }, + { + "epoch": 1.78, + "learning_rate": 0.0016286122190805805, + "loss": 0.6928, + "step": 4720 + }, + { + "epoch": 1.78, + "learning_rate": 0.0016265664949852766, + "loss": 0.6845, + "step": 4730 + }, + { + "epoch": 1.78, + "learning_rate": 0.0016245164448069431, + "loss": 0.6936, + "step": 4740 + }, + { + "epoch": 1.79, + "learning_rate": 0.0016224620827000036, + "loss": 0.6932, + "step": 4750 + }, + { + "epoch": 1.79, + "learning_rate": 0.0016204034228486524, + "loss": 0.6925, + "step": 4760 + }, + { + "epoch": 1.8, + "learning_rate": 0.0016183404794667573, + "loss": 0.6948, + "step": 4770 + }, + { + "epoch": 1.8, + "learning_rate": 0.0016162732667977622, + "loss": 0.6934, + "step": 4780 + }, + { + "epoch": 1.8, + "learning_rate": 0.0016142017991145866, + "loss": 0.6931, + "step": 4790 + }, + { + "epoch": 1.81, + "learning_rate": 0.0016121260907195302, + "loss": 0.6934, + "step": 4800 + }, + { + "epoch": 1.81, + "learning_rate": 0.00161004615594417, + "loss": 0.6933, + "step": 4810 + }, + { + "epoch": 1.81, + "learning_rate": 0.0016079620091492667, + "loss": 0.6928, + "step": 4820 + }, + { + "epoch": 1.82, + "learning_rate": 0.0016058736647246604, + "loss": 0.6926, + "step": 4830 + }, + { + "epoch": 1.82, + "learning_rate": 0.0016037811370891739, + "loss": 0.6848, + "step": 4840 + }, + { + "epoch": 1.83, + "learning_rate": 0.001601684440690513, + "loss": 0.6931, + "step": 4850 + }, + { + "epoch": 1.83, + "learning_rate": 0.0015995835900051666, + "loss": 0.694, + "step": 4860 + }, + { + "epoch": 1.83, + "learning_rate": 0.0015974785995383053, + "loss": 0.6942, + "step": 4870 + }, + { + "epoch": 1.84, + "learning_rate": 0.0015953694838236846, + "loss": 0.6925, + "step": 4880 + }, + { + "epoch": 1.84, + "learning_rate": 0.001593256257423541, + "loss": 0.6927, + "step": 4890 + }, + { + "epoch": 1.84, + "learning_rate": 0.0015911389349284929, + "loss": 0.6927, + "step": 4900 + }, + { + "epoch": 1.85, + "learning_rate": 0.0015890175309574404, + "loss": 0.6945, + "step": 4910 + }, + { + "epoch": 1.85, + "learning_rate": 0.0015868920601574642, + "loss": 0.6932, + "step": 4920 + }, + { + "epoch": 1.86, + "learning_rate": 0.0015847625372037229, + "loss": 0.6941, + "step": 4930 + }, + { + "epoch": 1.86, + "learning_rate": 0.001582628976799354, + "loss": 0.685, + "step": 4940 + }, + { + "epoch": 1.86, + "learning_rate": 0.0015804913936753712, + "loss": 0.6841, + "step": 4950 + }, + { + "epoch": 1.87, + "learning_rate": 0.0015783498025905623, + "loss": 0.6923, + "step": 4960 + }, + { + "epoch": 1.87, + "learning_rate": 0.001576204218331388, + "loss": 0.6933, + "step": 4970 + }, + { + "epoch": 1.87, + "learning_rate": 0.0015740546557118796, + "loss": 0.6929, + "step": 4980 + }, + { + "epoch": 1.88, + "learning_rate": 0.0015719011295735365, + "loss": 0.6938, + "step": 4990 + }, + { + "epoch": 1.88, + "learning_rate": 0.0015697436547852243, + "loss": 0.6919, + "step": 5000 + }, + { + "epoch": 1.89, + "learning_rate": 0.0015675822462430714, + "loss": 0.6864, + "step": 5010 + }, + { + "epoch": 1.89, + "learning_rate": 0.0015654169188703668, + "loss": 0.692, + "step": 5020 + }, + { + "epoch": 1.89, + "learning_rate": 0.001563247687617457, + "loss": 0.6938, + "step": 5030 + }, + { + "epoch": 1.9, + "learning_rate": 0.0015610745674616412, + "loss": 0.693, + "step": 5040 + }, + { + "epoch": 1.9, + "learning_rate": 0.0015588975734070717, + "loss": 0.6924, + "step": 5050 + }, + { + "epoch": 1.9, + "learning_rate": 0.0015567167204846453, + "loss": 0.6892, + "step": 5060 + }, + { + "epoch": 1.91, + "learning_rate": 0.0015545320237519036, + "loss": 0.6896, + "step": 5070 + }, + { + "epoch": 1.91, + "learning_rate": 0.0015523434982929274, + "loss": 0.7004, + "step": 5080 + }, + { + "epoch": 1.92, + "learning_rate": 0.001550151159218232, + "loss": 0.694, + "step": 5090 + }, + { + "epoch": 1.92, + "learning_rate": 0.001547955021664664, + "loss": 0.6921, + "step": 5100 + }, + { + "epoch": 1.92, + "learning_rate": 0.0015457551007952962, + "loss": 0.6929, + "step": 5110 + }, + { + "epoch": 1.93, + "learning_rate": 0.0015435514117993232, + "loss": 0.6835, + "step": 5120 + }, + { + "epoch": 1.93, + "learning_rate": 0.001541343969891956, + "loss": 0.6959, + "step": 5130 + }, + { + "epoch": 1.93, + "learning_rate": 0.001539132790314318, + "loss": 0.6902, + "step": 5140 + }, + { + "epoch": 1.94, + "learning_rate": 0.0015369178883333382, + "loss": 0.694, + "step": 5150 + }, + { + "epoch": 1.94, + "learning_rate": 0.001534699279241647, + "loss": 0.6969, + "step": 5160 + }, + { + "epoch": 1.95, + "learning_rate": 0.0015324769783574706, + "loss": 0.692, + "step": 5170 + }, + { + "epoch": 1.95, + "learning_rate": 0.0015302510010245243, + "loss": 0.6908, + "step": 5180 + }, + { + "epoch": 1.95, + "learning_rate": 0.0015280213626119082, + "loss": 0.6924, + "step": 5190 + }, + { + "epoch": 1.96, + "learning_rate": 0.0015257880785139988, + "loss": 0.6812, + "step": 5200 + }, + { + "epoch": 1.96, + "learning_rate": 0.0015235511641503447, + "loss": 0.6953, + "step": 5210 + }, + { + "epoch": 1.96, + "learning_rate": 0.0015213106349655598, + "loss": 0.6959, + "step": 5220 + }, + { + "epoch": 1.97, + "learning_rate": 0.0015190665064292149, + "loss": 0.6918, + "step": 5230 + }, + { + "epoch": 1.97, + "learning_rate": 0.0015168187940357335, + "loss": 0.685, + "step": 5240 + }, + { + "epoch": 1.98, + "learning_rate": 0.001514567513304283, + "loss": 0.6921, + "step": 5250 + }, + { + "epoch": 1.98, + "learning_rate": 0.0015123126797786685, + "loss": 0.6953, + "step": 5260 + }, + { + "epoch": 1.98, + "learning_rate": 0.0015100543090272255, + "loss": 0.6974, + "step": 5270 + }, + { + "epoch": 1.99, + "learning_rate": 0.00150779241664271, + "loss": 0.6934, + "step": 5280 + }, + { + "epoch": 1.99, + "learning_rate": 0.0015055270182421957, + "loss": 0.6921, + "step": 5290 + }, + { + "epoch": 1.99, + "learning_rate": 0.0015032581294669612, + "loss": 0.6842, + "step": 5300 + }, + { + "epoch": 2.0, + "learning_rate": 0.0015009857659823852, + "loss": 0.6919, + "step": 5310 + }, + { + "epoch": 2.0, + "eval_accuracy": 0.504, + "eval_loss": 0.6920435428619385, + "eval_runtime": 38.4869, + "eval_samples_per_second": 97.436, + "eval_steps_per_second": 12.186, + "step": 5314 + }, + { + "epoch": 2.0, + "learning_rate": 0.0014987099434778369, + "loss": 0.6916, + "step": 5320 + }, + { + "epoch": 2.01, + "learning_rate": 0.001496430677666568, + "loss": 0.6905, + "step": 5330 + }, + { + "epoch": 2.01, + "learning_rate": 0.0014941479842856046, + "loss": 0.6943, + "step": 5340 + }, + { + "epoch": 2.01, + "learning_rate": 0.0014918618790956376, + "loss": 0.6871, + "step": 5350 + }, + { + "epoch": 2.02, + "learning_rate": 0.0014895723778809151, + "loss": 0.693, + "step": 5360 + }, + { + "epoch": 2.02, + "learning_rate": 0.0014872794964491327, + "loss": 0.6978, + "step": 5370 + }, + { + "epoch": 2.02, + "learning_rate": 0.0014849832506313243, + "loss": 0.7012, + "step": 5380 + }, + { + "epoch": 2.03, + "learning_rate": 0.0014826836562817527, + "loss": 0.6927, + "step": 5390 + }, + { + "epoch": 2.03, + "learning_rate": 0.001480380729277801, + "loss": 0.6942, + "step": 5400 + }, + { + "epoch": 2.04, + "learning_rate": 0.001478074485519862, + "loss": 0.6929, + "step": 5410 + }, + { + "epoch": 2.04, + "learning_rate": 0.001475764940931229, + "loss": 0.6949, + "step": 5420 + }, + { + "epoch": 2.04, + "learning_rate": 0.0014734521114579853, + "loss": 0.6947, + "step": 5430 + }, + { + "epoch": 2.05, + "learning_rate": 0.001471136013068895, + "loss": 0.6929, + "step": 5440 + }, + { + "epoch": 2.05, + "learning_rate": 0.0014688166617552911, + "loss": 0.6931, + "step": 5450 + }, + { + "epoch": 2.05, + "learning_rate": 0.0014664940735309676, + "loss": 0.693, + "step": 5460 + }, + { + "epoch": 2.06, + "learning_rate": 0.0014641682644320666, + "loss": 0.6931, + "step": 5470 + }, + { + "epoch": 2.06, + "learning_rate": 0.0014618392505169689, + "loss": 0.6939, + "step": 5480 + }, + { + "epoch": 2.07, + "learning_rate": 0.0014595070478661822, + "loss": 0.6925, + "step": 5490 + }, + { + "epoch": 2.07, + "learning_rate": 0.0014571716725822314, + "loss": 0.6939, + "step": 5500 + }, + { + "epoch": 2.07, + "learning_rate": 0.001454833140789546, + "loss": 0.6843, + "step": 5510 + }, + { + "epoch": 2.08, + "learning_rate": 0.0014524914686343494, + "loss": 0.6937, + "step": 5520 + }, + { + "epoch": 2.08, + "learning_rate": 0.0014501466722845477, + "loss": 0.6934, + "step": 5530 + }, + { + "epoch": 2.09, + "learning_rate": 0.0014477987679296174, + "loss": 0.6933, + "step": 5540 + }, + { + "epoch": 2.09, + "learning_rate": 0.0014454477717804949, + "loss": 0.6932, + "step": 5550 + }, + { + "epoch": 2.09, + "learning_rate": 0.0014430937000694624, + "loss": 0.6928, + "step": 5560 + }, + { + "epoch": 2.1, + "learning_rate": 0.0014407365690500377, + "loss": 0.6937, + "step": 5570 + }, + { + "epoch": 2.1, + "learning_rate": 0.0014383763949968617, + "loss": 0.6925, + "step": 5580 + }, + { + "epoch": 2.1, + "learning_rate": 0.0014360131942055853, + "loss": 0.6923, + "step": 5590 + }, + { + "epoch": 2.11, + "learning_rate": 0.0014336469829927573, + "loss": 0.6941, + "step": 5600 + }, + { + "epoch": 2.11, + "learning_rate": 0.0014312777776957115, + "loss": 0.6927, + "step": 5610 + }, + { + "epoch": 2.12, + "learning_rate": 0.001428905594672455, + "loss": 0.6839, + "step": 5620 + }, + { + "epoch": 2.12, + "learning_rate": 0.0014265304503015535, + "loss": 0.6853, + "step": 5630 + }, + { + "epoch": 2.12, + "learning_rate": 0.0014241523609820198, + "loss": 0.6844, + "step": 5640 + }, + { + "epoch": 2.13, + "learning_rate": 0.001421771343133199, + "loss": 0.6921, + "step": 5650 + }, + { + "epoch": 2.13, + "learning_rate": 0.001419387413194657, + "loss": 0.6916, + "step": 5660 + }, + { + "epoch": 2.13, + "learning_rate": 0.001417000587626065, + "loss": 0.695, + "step": 5670 + }, + { + "epoch": 2.14, + "learning_rate": 0.0014146108829070883, + "loss": 0.6921, + "step": 5680 + }, + { + "epoch": 2.14, + "learning_rate": 0.00141221831553727, + "loss": 0.6921, + "step": 5690 + }, + { + "epoch": 2.15, + "learning_rate": 0.0014098229020359178, + "loss": 0.6944, + "step": 5700 + }, + { + "epoch": 2.15, + "learning_rate": 0.0014074246589419913, + "loss": 0.696, + "step": 5710 + }, + { + "epoch": 2.15, + "learning_rate": 0.0014050236028139865, + "loss": 0.6941, + "step": 5720 + }, + { + "epoch": 2.16, + "learning_rate": 0.0014026197502298215, + "loss": 0.684, + "step": 5730 + }, + { + "epoch": 2.16, + "learning_rate": 0.0014002131177867226, + "loss": 0.6942, + "step": 5740 + }, + { + "epoch": 2.16, + "learning_rate": 0.0013978037221011096, + "loss": 0.6945, + "step": 5750 + }, + { + "epoch": 2.17, + "learning_rate": 0.0013953915798084805, + "loss": 0.6932, + "step": 5760 + }, + { + "epoch": 2.17, + "learning_rate": 0.0013929767075632968, + "loss": 0.6939, + "step": 5770 + }, + { + "epoch": 2.18, + "learning_rate": 0.00139055912203887, + "loss": 0.6932, + "step": 5780 + }, + { + "epoch": 2.18, + "learning_rate": 0.0013881388399272442, + "loss": 0.6933, + "step": 5790 + }, + { + "epoch": 2.18, + "learning_rate": 0.0013857158779390813, + "loss": 0.6933, + "step": 5800 + }, + { + "epoch": 2.19, + "learning_rate": 0.001383290252803548, + "loss": 0.6933, + "step": 5810 + }, + { + "epoch": 2.19, + "learning_rate": 0.0013808619812681977, + "loss": 0.6932, + "step": 5820 + }, + { + "epoch": 2.19, + "learning_rate": 0.0013784310800988547, + "loss": 0.6933, + "step": 5830 + }, + { + "epoch": 2.2, + "learning_rate": 0.0013759975660795004, + "loss": 0.6937, + "step": 5840 + }, + { + "epoch": 2.2, + "learning_rate": 0.0013735614560121566, + "loss": 0.6931, + "step": 5850 + }, + { + "epoch": 2.21, + "learning_rate": 0.0013711227667167689, + "loss": 0.6936, + "step": 5860 + }, + { + "epoch": 2.21, + "learning_rate": 0.001368681515031091, + "loss": 0.6939, + "step": 5870 + }, + { + "epoch": 2.21, + "learning_rate": 0.0013662377178105685, + "loss": 0.6931, + "step": 5880 + }, + { + "epoch": 2.22, + "learning_rate": 0.0013637913919282226, + "loss": 0.6931, + "step": 5890 + }, + { + "epoch": 2.22, + "learning_rate": 0.001361342554274533, + "loss": 0.6926, + "step": 5900 + }, + { + "epoch": 2.22, + "learning_rate": 0.0013588912217573229, + "loss": 0.6936, + "step": 5910 + }, + { + "epoch": 2.23, + "learning_rate": 0.0013564374113016395, + "loss": 0.6924, + "step": 5920 + }, + { + "epoch": 2.23, + "learning_rate": 0.00135398113984964, + "loss": 0.694, + "step": 5930 + }, + { + "epoch": 2.24, + "learning_rate": 0.0013515224243604727, + "loss": 0.6943, + "step": 5940 + }, + { + "epoch": 2.24, + "learning_rate": 0.0013490612818101606, + "loss": 0.6929, + "step": 5950 + }, + { + "epoch": 2.24, + "learning_rate": 0.001346597729191485, + "loss": 0.693, + "step": 5960 + }, + { + "epoch": 2.25, + "learning_rate": 0.001344131783513866, + "loss": 0.6936, + "step": 5970 + }, + { + "epoch": 2.25, + "learning_rate": 0.0013416634618032477, + "loss": 0.6932, + "step": 5980 + }, + { + "epoch": 2.25, + "learning_rate": 0.0013391927811019781, + "loss": 0.6849, + "step": 5990 + }, + { + "epoch": 2.26, + "learning_rate": 0.001336719758468694, + "loss": 0.6932, + "step": 6000 + }, + { + "epoch": 2.26, + "learning_rate": 0.001334244410978201, + "loss": 0.6933, + "step": 6010 + }, + { + "epoch": 2.27, + "learning_rate": 0.0013317667557213567, + "loss": 0.6932, + "step": 6020 + }, + { + "epoch": 2.27, + "learning_rate": 0.001329286809804952, + "loss": 0.6931, + "step": 6030 + }, + { + "epoch": 2.27, + "learning_rate": 0.0013268045903515953, + "loss": 0.6931, + "step": 6040 + }, + { + "epoch": 2.28, + "learning_rate": 0.00132432011449959, + "loss": 0.6929, + "step": 6050 + }, + { + "epoch": 2.28, + "learning_rate": 0.0013218333994028206, + "loss": 0.6935, + "step": 6060 + }, + { + "epoch": 2.28, + "learning_rate": 0.0013193444622306314, + "loss": 0.6938, + "step": 6070 + }, + { + "epoch": 2.29, + "learning_rate": 0.001316853320167709, + "loss": 0.6929, + "step": 6080 + }, + { + "epoch": 2.29, + "learning_rate": 0.001314359990413963, + "loss": 0.694, + "step": 6090 + }, + { + "epoch": 2.3, + "learning_rate": 0.0013118644901844092, + "loss": 0.693, + "step": 6100 + }, + { + "epoch": 2.3, + "learning_rate": 0.0013093668367090477, + "loss": 0.6932, + "step": 6110 + }, + { + "epoch": 2.3, + "learning_rate": 0.0013068670472327465, + "loss": 0.6933, + "step": 6120 + }, + { + "epoch": 2.31, + "learning_rate": 0.001304365139015121, + "loss": 0.6932, + "step": 6130 + }, + { + "epoch": 2.31, + "learning_rate": 0.0013018611293304156, + "loss": 0.6932, + "step": 6140 + }, + { + "epoch": 2.31, + "learning_rate": 0.0012993550354673839, + "loss": 0.6933, + "step": 6150 + }, + { + "epoch": 2.32, + "learning_rate": 0.0012968468747291695, + "loss": 0.6932, + "step": 6160 + }, + { + "epoch": 2.32, + "learning_rate": 0.0012943366644331874, + "loss": 0.6846, + "step": 6170 + }, + { + "epoch": 2.33, + "learning_rate": 0.001291824421911002, + "loss": 0.6929, + "step": 6180 + }, + { + "epoch": 2.33, + "learning_rate": 0.0012893101645082108, + "loss": 0.6847, + "step": 6190 + }, + { + "epoch": 2.33, + "learning_rate": 0.0012867939095843218, + "loss": 0.6849, + "step": 6200 + }, + { + "epoch": 2.34, + "learning_rate": 0.0012842756745126349, + "loss": 0.6935, + "step": 6210 + }, + { + "epoch": 2.34, + "learning_rate": 0.0012817554766801223, + "loss": 0.6933, + "step": 6220 + }, + { + "epoch": 2.34, + "learning_rate": 0.0012792333334873075, + "loss": 0.6934, + "step": 6230 + }, + { + "epoch": 2.35, + "learning_rate": 0.0012767092623481454, + "loss": 0.6925, + "step": 6240 + }, + { + "epoch": 2.35, + "learning_rate": 0.0012741832806899027, + "loss": 0.6934, + "step": 6250 + }, + { + "epoch": 2.36, + "learning_rate": 0.0012716554059530373, + "loss": 0.693, + "step": 6260 + }, + { + "epoch": 2.36, + "learning_rate": 0.001269125655591077, + "loss": 0.694, + "step": 6270 + }, + { + "epoch": 2.36, + "learning_rate": 0.0012665940470705003, + "loss": 0.6924, + "step": 6280 + }, + { + "epoch": 2.37, + "learning_rate": 0.0012640605978706148, + "loss": 0.6912, + "step": 6290 + }, + { + "epoch": 2.37, + "learning_rate": 0.0012615253254834378, + "loss": 0.6936, + "step": 6300 + }, + { + "epoch": 2.37, + "learning_rate": 0.0012589882474135735, + "loss": 0.694, + "step": 6310 + }, + { + "epoch": 2.38, + "learning_rate": 0.001256449381178094, + "loss": 0.6929, + "step": 6320 + }, + { + "epoch": 2.38, + "learning_rate": 0.001253908744306418, + "loss": 0.6943, + "step": 6330 + }, + { + "epoch": 2.39, + "learning_rate": 0.0012513663543401881, + "loss": 0.6932, + "step": 6340 + }, + { + "epoch": 2.39, + "learning_rate": 0.0012488222288331524, + "loss": 0.6921, + "step": 6350 + }, + { + "epoch": 2.39, + "learning_rate": 0.0012462763853510412, + "loss": 0.692, + "step": 6360 + }, + { + "epoch": 2.4, + "learning_rate": 0.001243728841471447, + "loss": 0.6929, + "step": 6370 + }, + { + "epoch": 2.4, + "learning_rate": 0.0012411796147837016, + "loss": 0.6857, + "step": 6380 + }, + { + "epoch": 2.4, + "learning_rate": 0.0012386287228887567, + "loss": 0.6943, + "step": 6390 + }, + { + "epoch": 2.41, + "learning_rate": 0.0012360761833990605, + "loss": 0.6947, + "step": 6400 + }, + { + "epoch": 2.41, + "learning_rate": 0.0012335220139384373, + "loss": 0.6929, + "step": 6410 + }, + { + "epoch": 2.42, + "learning_rate": 0.0012309662321419656, + "loss": 0.6946, + "step": 6420 + }, + { + "epoch": 2.42, + "learning_rate": 0.0012284088556558555, + "loss": 0.6928, + "step": 6430 + }, + { + "epoch": 2.42, + "learning_rate": 0.0012258499021373282, + "loss": 0.6933, + "step": 6440 + }, + { + "epoch": 2.43, + "learning_rate": 0.0012232893892544928, + "loss": 0.6932, + "step": 6450 + }, + { + "epoch": 2.43, + "learning_rate": 0.0012207273346862256, + "loss": 0.6929, + "step": 6460 + }, + { + "epoch": 2.44, + "learning_rate": 0.0012181637561220467, + "loss": 0.6935, + "step": 6470 + }, + { + "epoch": 2.44, + "learning_rate": 0.001215598671261999, + "loss": 0.6933, + "step": 6480 + }, + { + "epoch": 2.44, + "learning_rate": 0.001213032097816525, + "loss": 0.6935, + "step": 6490 + }, + { + "epoch": 2.45, + "learning_rate": 0.001210464053506346, + "loss": 0.693, + "step": 6500 + }, + { + "epoch": 2.45, + "learning_rate": 0.0012078945560623374, + "loss": 0.692, + "step": 6510 + }, + { + "epoch": 2.45, + "learning_rate": 0.0012053236232254085, + "loss": 0.6953, + "step": 6520 + }, + { + "epoch": 2.46, + "learning_rate": 0.0012027512727463795, + "loss": 0.6932, + "step": 6530 + }, + { + "epoch": 2.46, + "learning_rate": 0.001200177522385858, + "loss": 0.6841, + "step": 6540 + }, + { + "epoch": 2.47, + "learning_rate": 0.001197602389914117, + "loss": 0.6939, + "step": 6550 + }, + { + "epoch": 2.47, + "learning_rate": 0.0011950258931109723, + "loss": 0.6941, + "step": 6560 + }, + { + "epoch": 2.47, + "learning_rate": 0.0011924480497656597, + "loss": 0.6922, + "step": 6570 + }, + { + "epoch": 2.48, + "learning_rate": 0.0011898688776767123, + "loss": 0.6818, + "step": 6580 + }, + { + "epoch": 2.48, + "learning_rate": 0.001187288394651837, + "loss": 0.7391, + "step": 6590 + }, + { + "epoch": 2.48, + "learning_rate": 0.0011847066185077919, + "loss": 0.6951, + "step": 6600 + }, + { + "epoch": 2.49, + "learning_rate": 0.001182123567070264, + "loss": 0.6944, + "step": 6610 + }, + { + "epoch": 2.49, + "learning_rate": 0.0011795392581737448, + "loss": 0.8711, + "step": 6620 + }, + { + "epoch": 2.5, + "learning_rate": 0.0011769537096614079, + "loss": 0.6888, + "step": 6630 + }, + { + "epoch": 2.5, + "learning_rate": 0.0011743669393849863, + "loss": 0.7258, + "step": 6640 + }, + { + "epoch": 2.5, + "learning_rate": 0.001171778965204648, + "loss": 0.6932, + "step": 6650 + }, + { + "epoch": 2.51, + "learning_rate": 0.0011691898049888733, + "loss": 0.6774, + "step": 6660 + }, + { + "epoch": 2.51, + "learning_rate": 0.001166599476614332, + "loss": 0.7073, + "step": 6670 + }, + { + "epoch": 2.51, + "learning_rate": 0.0011640079979657587, + "loss": 0.7117, + "step": 6680 + }, + { + "epoch": 2.52, + "learning_rate": 0.0011614153869358307, + "loss": 0.7077, + "step": 6690 + }, + { + "epoch": 2.52, + "learning_rate": 0.0011588216614250423, + "loss": 0.6959, + "step": 6700 + }, + { + "epoch": 2.53, + "learning_rate": 0.0011562268393415845, + "loss": 0.6969, + "step": 6710 + }, + { + "epoch": 2.53, + "learning_rate": 0.0011536309386012181, + "loss": 0.6933, + "step": 6720 + }, + { + "epoch": 2.53, + "learning_rate": 0.001151033977127152, + "loss": 0.6991, + "step": 6730 + }, + { + "epoch": 2.54, + "learning_rate": 0.001148435972849919, + "loss": 0.6912, + "step": 6740 + }, + { + "epoch": 2.54, + "learning_rate": 0.0011458369437072516, + "loss": 0.6984, + "step": 6750 + }, + { + "epoch": 2.54, + "learning_rate": 0.0011432369076439586, + "loss": 0.6976, + "step": 6760 + }, + { + "epoch": 2.55, + "learning_rate": 0.0011406358826118004, + "loss": 0.698, + "step": 6770 + }, + { + "epoch": 2.55, + "learning_rate": 0.0011380338865693664, + "loss": 0.6933, + "step": 6780 + }, + { + "epoch": 2.56, + "learning_rate": 0.0011354309374819503, + "loss": 0.6949, + "step": 6790 + }, + { + "epoch": 2.56, + "learning_rate": 0.0011328270533214253, + "loss": 0.6944, + "step": 6800 + }, + { + "epoch": 2.56, + "learning_rate": 0.0011302222520661214, + "loss": 0.6944, + "step": 6810 + }, + { + "epoch": 2.57, + "learning_rate": 0.0011276165517007004, + "loss": 0.6929, + "step": 6820 + }, + { + "epoch": 2.57, + "learning_rate": 0.0011250099702160318, + "loss": 0.7, + "step": 6830 + }, + { + "epoch": 2.57, + "learning_rate": 0.001122402525609069, + "loss": 0.6856, + "step": 6840 + }, + { + "epoch": 2.58, + "learning_rate": 0.0011197942358827247, + "loss": 0.6936, + "step": 6850 + }, + { + "epoch": 2.58, + "learning_rate": 0.0011171851190457463, + "loss": 0.6923, + "step": 6860 + }, + { + "epoch": 2.59, + "learning_rate": 0.0011145751931125926, + "loss": 0.6961, + "step": 6870 + }, + { + "epoch": 2.59, + "learning_rate": 0.0011119644761033078, + "loss": 0.6947, + "step": 6880 + }, + { + "epoch": 2.59, + "learning_rate": 0.0011093529860433994, + "loss": 0.6971, + "step": 6890 + }, + { + "epoch": 2.6, + "learning_rate": 0.0011067407409637107, + "loss": 0.6933, + "step": 6900 + }, + { + "epoch": 2.6, + "learning_rate": 0.0011041277589002997, + "loss": 0.692, + "step": 6910 + }, + { + "epoch": 2.6, + "learning_rate": 0.001101514057894311, + "loss": 0.69, + "step": 6920 + }, + { + "epoch": 2.61, + "learning_rate": 0.001098899655991855, + "loss": 0.7112, + "step": 6930 + }, + { + "epoch": 2.61, + "learning_rate": 0.0010962845712438798, + "loss": 0.6939, + "step": 6940 + }, + { + "epoch": 2.62, + "learning_rate": 0.0010936688217060495, + "loss": 0.6893, + "step": 6950 + }, + { + "epoch": 2.62, + "learning_rate": 0.001091052425438617, + "loss": 0.7141, + "step": 6960 + }, + { + "epoch": 2.62, + "learning_rate": 0.001088435400506301, + "loss": 0.6952, + "step": 6970 + }, + { + "epoch": 2.63, + "learning_rate": 0.0010858177649781613, + "loss": 0.6988, + "step": 6980 + }, + { + "epoch": 2.63, + "learning_rate": 0.0010831995369274723, + "loss": 0.6745, + "step": 6990 + }, + { + "epoch": 2.63, + "learning_rate": 0.0010805807344316009, + "loss": 0.7222, + "step": 7000 + }, + { + "epoch": 2.64, + "learning_rate": 0.0010779613755718788, + "loss": 0.6888, + "step": 7010 + }, + { + "epoch": 2.64, + "learning_rate": 0.0010753414784334797, + "loss": 0.69, + "step": 7020 + }, + { + "epoch": 2.65, + "learning_rate": 0.0010727210611052947, + "loss": 0.6989, + "step": 7030 + }, + { + "epoch": 2.65, + "learning_rate": 0.0010701001416798047, + "loss": 0.682, + "step": 7040 + }, + { + "epoch": 2.65, + "learning_rate": 0.0010674787382529585, + "loss": 0.6947, + "step": 7050 + }, + { + "epoch": 2.66, + "learning_rate": 0.0010648568689240467, + "loss": 0.7027, + "step": 7060 + }, + { + "epoch": 2.66, + "learning_rate": 0.001062234551795576, + "loss": 0.6927, + "step": 7070 + }, + { + "epoch": 2.66, + "learning_rate": 0.0010596118049731454, + "loss": 0.7177, + "step": 7080 + }, + { + "epoch": 2.67, + "learning_rate": 0.0010569886465653206, + "loss": 0.7045, + "step": 7090 + }, + { + "epoch": 2.67, + "learning_rate": 0.0010543650946835091, + "loss": 0.7008, + "step": 7100 + }, + { + "epoch": 2.68, + "learning_rate": 0.0010517411674418348, + "loss": 0.6965, + "step": 7110 + }, + { + "epoch": 2.68, + "learning_rate": 0.0010491168829570136, + "loss": 0.7021, + "step": 7120 + }, + { + "epoch": 2.68, + "learning_rate": 0.001046492259348228, + "loss": 0.6951, + "step": 7130 + }, + { + "epoch": 2.69, + "learning_rate": 0.0010438673147370016, + "loss": 0.6969, + "step": 7140 + }, + { + "epoch": 2.69, + "learning_rate": 0.0010412420672470746, + "loss": 0.6841, + "step": 7150 + }, + { + "epoch": 2.69, + "learning_rate": 0.0010386165350042785, + "loss": 0.6862, + "step": 7160 + }, + { + "epoch": 2.7, + "learning_rate": 0.0010359907361364104, + "loss": 0.7211, + "step": 7170 + }, + { + "epoch": 2.7, + "learning_rate": 0.001033364688773109, + "loss": 0.6906, + "step": 7180 + }, + { + "epoch": 2.71, + "learning_rate": 0.001030738411045728, + "loss": 0.6924, + "step": 7190 + }, + { + "epoch": 2.71, + "learning_rate": 0.001028111921087212, + "loss": 0.6955, + "step": 7200 + }, + { + "epoch": 2.71, + "learning_rate": 0.001025485237031971, + "loss": 0.6951, + "step": 7210 + }, + { + "epoch": 2.72, + "learning_rate": 0.0010228583770157547, + "loss": 0.6955, + "step": 7220 + }, + { + "epoch": 2.72, + "learning_rate": 0.0010202313591755282, + "loss": 0.6929, + "step": 7230 + }, + { + "epoch": 2.72, + "learning_rate": 0.0010176042016493464, + "loss": 0.6947, + "step": 7240 + }, + { + "epoch": 2.73, + "learning_rate": 0.0010149769225762278, + "loss": 0.6934, + "step": 7250 + }, + { + "epoch": 2.73, + "learning_rate": 0.001012349540096031, + "loss": 0.6949, + "step": 7260 + }, + { + "epoch": 2.74, + "learning_rate": 0.0010097220723493281, + "loss": 0.692, + "step": 7270 + }, + { + "epoch": 2.74, + "learning_rate": 0.0010070945374772802, + "loss": 0.6946, + "step": 7280 + }, + { + "epoch": 2.74, + "learning_rate": 0.0010044669536215113, + "loss": 0.6937, + "step": 7290 + }, + { + "epoch": 2.75, + "learning_rate": 0.0010018393389239846, + "loss": 0.6931, + "step": 7300 + }, + { + "epoch": 2.75, + "learning_rate": 0.0009992117115268757, + "loss": 0.6942, + "step": 7310 + }, + { + "epoch": 2.75, + "learning_rate": 0.0009965840895724471, + "loss": 0.6915, + "step": 7320 + }, + { + "epoch": 2.76, + "learning_rate": 0.000993956491202925, + "loss": 0.6913, + "step": 7330 + }, + { + "epoch": 2.76, + "learning_rate": 0.000991328934560372, + "loss": 0.694, + "step": 7340 + }, + { + "epoch": 2.77, + "learning_rate": 0.0009887014377865631, + "loss": 0.7042, + "step": 7350 + }, + { + "epoch": 2.77, + "learning_rate": 0.0009860740190228594, + "loss": 0.6927, + "step": 7360 + }, + { + "epoch": 2.77, + "learning_rate": 0.000983446696410084, + "loss": 0.6935, + "step": 7370 + }, + { + "epoch": 2.78, + "learning_rate": 0.0009808194880883952, + "loss": 0.6934, + "step": 7380 + }, + { + "epoch": 2.78, + "learning_rate": 0.000978192412197163, + "loss": 0.6931, + "step": 7390 + }, + { + "epoch": 2.79, + "learning_rate": 0.000975565486874843, + "loss": 0.6921, + "step": 7400 + }, + { + "epoch": 2.79, + "learning_rate": 0.000972938730258851, + "loss": 0.693, + "step": 7410 + }, + { + "epoch": 2.79, + "learning_rate": 0.000970312160485438, + "loss": 0.6944, + "step": 7420 + }, + { + "epoch": 2.8, + "learning_rate": 0.0009676857956895647, + "loss": 0.6941, + "step": 7430 + }, + { + "epoch": 2.8, + "learning_rate": 0.000965059654004777, + "loss": 0.6952, + "step": 7440 + }, + { + "epoch": 2.8, + "learning_rate": 0.0009624337535630802, + "loss": 0.694, + "step": 7450 + }, + { + "epoch": 2.81, + "learning_rate": 0.0009598081124948137, + "loss": 0.6941, + "step": 7460 + }, + { + "epoch": 2.81, + "learning_rate": 0.0009571827489285264, + "loss": 0.6955, + "step": 7470 + }, + { + "epoch": 2.82, + "learning_rate": 0.0009545576809908511, + "loss": 0.6932, + "step": 7480 + }, + { + "epoch": 2.82, + "learning_rate": 0.0009519329268063794, + "loss": 0.6937, + "step": 7490 + }, + { + "epoch": 2.82, + "learning_rate": 0.0009493085044975368, + "loss": 0.6936, + "step": 7500 + }, + { + "epoch": 2.83, + "learning_rate": 0.000946684432184457, + "loss": 0.6932, + "step": 7510 + }, + { + "epoch": 2.83, + "learning_rate": 0.0009440607279848573, + "loss": 0.6933, + "step": 7520 + }, + { + "epoch": 2.83, + "learning_rate": 0.0009414374100139139, + "loss": 0.6937, + "step": 7530 + }, + { + "epoch": 2.84, + "learning_rate": 0.0009388144963841359, + "loss": 0.6931, + "step": 7540 + }, + { + "epoch": 2.84, + "learning_rate": 0.0009361920052052404, + "loss": 0.6933, + "step": 7550 + }, + { + "epoch": 2.85, + "learning_rate": 0.0009335699545840282, + "loss": 0.6927, + "step": 7560 + }, + { + "epoch": 2.85, + "learning_rate": 0.0009309483626242581, + "loss": 0.6943, + "step": 7570 + }, + { + "epoch": 2.85, + "learning_rate": 0.0009283272474265218, + "loss": 0.6934, + "step": 7580 + }, + { + "epoch": 2.86, + "learning_rate": 0.0009257066270881199, + "loss": 0.6929, + "step": 7590 + }, + { + "epoch": 2.86, + "learning_rate": 0.0009230865197029358, + "loss": 0.6933, + "step": 7600 + }, + { + "epoch": 2.86, + "learning_rate": 0.0009204669433613112, + "loss": 0.6936, + "step": 7610 + }, + { + "epoch": 2.87, + "learning_rate": 0.0009178479161499217, + "loss": 0.6925, + "step": 7620 + }, + { + "epoch": 2.87, + "learning_rate": 0.0009152294561516509, + "loss": 0.6928, + "step": 7630 + }, + { + "epoch": 2.88, + "learning_rate": 0.0009126115814454666, + "loss": 0.693, + "step": 7640 + }, + { + "epoch": 2.88, + "learning_rate": 0.0009099943101062948, + "loss": 0.6912, + "step": 7650 + }, + { + "epoch": 2.88, + "learning_rate": 0.0009073776602048968, + "loss": 0.6908, + "step": 7660 + }, + { + "epoch": 2.89, + "learning_rate": 0.0009047616498077425, + "loss": 0.6951, + "step": 7670 + }, + { + "epoch": 2.89, + "learning_rate": 0.0009021462969768857, + "loss": 0.6923, + "step": 7680 + }, + { + "epoch": 2.89, + "learning_rate": 0.0008995316197698415, + "loss": 0.6941, + "step": 7690 + }, + { + "epoch": 2.9, + "learning_rate": 0.0008969176362394591, + "loss": 0.6934, + "step": 7700 + }, + { + "epoch": 2.9, + "learning_rate": 0.0008943043644337987, + "loss": 0.6943, + "step": 7710 + }, + { + "epoch": 2.91, + "learning_rate": 0.0008916918223960066, + "loss": 0.6912, + "step": 7720 + }, + { + "epoch": 2.91, + "learning_rate": 0.0008890800281641899, + "loss": 0.6918, + "step": 7730 + }, + { + "epoch": 2.91, + "learning_rate": 0.0008864689997712933, + "loss": 0.6879, + "step": 7740 + }, + { + "epoch": 2.92, + "learning_rate": 0.0008838587552449731, + "loss": 0.6923, + "step": 7750 + }, + { + "epoch": 2.92, + "learning_rate": 0.0008812493126074739, + "loss": 0.6935, + "step": 7760 + }, + { + "epoch": 2.92, + "learning_rate": 0.0008786406898755037, + "loss": 0.6875, + "step": 7770 + }, + { + "epoch": 2.93, + "learning_rate": 0.000876032905060109, + "loss": 0.7034, + "step": 7780 + }, + { + "epoch": 2.93, + "learning_rate": 0.0008734259761665518, + "loss": 0.6968, + "step": 7790 + }, + { + "epoch": 2.94, + "learning_rate": 0.0008708199211941841, + "loss": 0.6948, + "step": 7800 + }, + { + "epoch": 2.94, + "learning_rate": 0.0008682147581363234, + "loss": 0.6923, + "step": 7810 + }, + { + "epoch": 2.94, + "learning_rate": 0.0008656105049801299, + "loss": 0.694, + "step": 7820 + }, + { + "epoch": 2.95, + "learning_rate": 0.0008630071797064811, + "loss": 0.6958, + "step": 7830 + }, + { + "epoch": 2.95, + "learning_rate": 0.0008604048002898479, + "loss": 0.6937, + "step": 7840 + }, + { + "epoch": 2.95, + "learning_rate": 0.0008578033846981705, + "loss": 0.6937, + "step": 7850 + }, + { + "epoch": 2.96, + "learning_rate": 0.0008552029508927349, + "loss": 0.693, + "step": 7860 + }, + { + "epoch": 2.96, + "learning_rate": 0.0008526035168280482, + "loss": 0.6936, + "step": 7870 + }, + { + "epoch": 2.97, + "learning_rate": 0.0008500051004517145, + "loss": 0.6931, + "step": 7880 + }, + { + "epoch": 2.97, + "learning_rate": 0.0008474077197043118, + "loss": 0.694, + "step": 7890 + }, + { + "epoch": 2.97, + "learning_rate": 0.0008448113925192676, + "loss": 0.6962, + "step": 7900 + }, + { + "epoch": 2.98, + "learning_rate": 0.0008422161368227349, + "loss": 0.6916, + "step": 7910 + }, + { + "epoch": 2.98, + "learning_rate": 0.0008396219705334693, + "loss": 0.6928, + "step": 7920 + }, + { + "epoch": 2.98, + "learning_rate": 0.0008370289115627038, + "loss": 0.6899, + "step": 7930 + }, + { + "epoch": 2.99, + "learning_rate": 0.0008344369778140267, + "loss": 0.6992, + "step": 7940 + }, + { + "epoch": 2.99, + "learning_rate": 0.000831846187183257, + "loss": 0.6821, + "step": 7950 + }, + { + "epoch": 3.0, + "learning_rate": 0.0008292565575583211, + "loss": 0.6652, + "step": 7960 + }, + { + "epoch": 3.0, + "learning_rate": 0.0008266681068191294, + "loss": 0.7404, + "step": 7970 + }, + { + "epoch": 3.0, + "eval_accuracy": 0.496, + "eval_loss": 0.7076430916786194, + "eval_runtime": 38.5319, + "eval_samples_per_second": 97.322, + "eval_steps_per_second": 12.172, + "step": 7971 + }, + { + "epoch": 3.0, + "learning_rate": 0.0008240808528374526, + "loss": 0.6898, + "step": 7980 + }, + { + "epoch": 3.01, + "learning_rate": 0.0008214948134767989, + "loss": 0.7064, + "step": 7990 + }, + { + "epoch": 3.01, + "learning_rate": 0.0008189100065922896, + "loss": 0.6986, + "step": 8000 + }, + { + "epoch": 3.01, + "learning_rate": 0.0008163264500305372, + "loss": 0.6959, + "step": 8010 + }, + { + "epoch": 3.02, + "learning_rate": 0.0008137441616295207, + "loss": 0.6893, + "step": 8020 + }, + { + "epoch": 3.02, + "learning_rate": 0.0008111631592184638, + "loss": 0.7089, + "step": 8030 + }, + { + "epoch": 3.03, + "learning_rate": 0.0008085834606177104, + "loss": 0.6972, + "step": 8040 + }, + { + "epoch": 3.03, + "learning_rate": 0.0008060050836386035, + "loss": 0.6989, + "step": 8050 + }, + { + "epoch": 3.03, + "learning_rate": 0.00080342804608336, + "loss": 0.6932, + "step": 8060 + }, + { + "epoch": 3.04, + "learning_rate": 0.0008008523657449493, + "loss": 0.6927, + "step": 8070 + }, + { + "epoch": 3.04, + "learning_rate": 0.0007982780604069701, + "loss": 0.6936, + "step": 8080 + }, + { + "epoch": 3.04, + "learning_rate": 0.0007957051478435272, + "loss": 0.6934, + "step": 8090 + }, + { + "epoch": 3.05, + "learning_rate": 0.0007931336458191091, + "loss": 0.6929, + "step": 8100 + }, + { + "epoch": 3.05, + "learning_rate": 0.0007905635720884659, + "loss": 0.6802, + "step": 8110 + }, + { + "epoch": 3.06, + "learning_rate": 0.0007879949443964851, + "loss": 0.6782, + "step": 8120 + }, + { + "epoch": 3.06, + "learning_rate": 0.0007854277804780712, + "loss": 0.7108, + "step": 8130 + }, + { + "epoch": 3.06, + "learning_rate": 0.0007828620980580217, + "loss": 0.6865, + "step": 8140 + }, + { + "epoch": 3.07, + "learning_rate": 0.0007802979148509049, + "loss": 0.6867, + "step": 8150 + }, + { + "epoch": 3.07, + "learning_rate": 0.0007777352485609385, + "loss": 0.6991, + "step": 8160 + }, + { + "epoch": 3.07, + "learning_rate": 0.0007751741168818663, + "loss": 0.6899, + "step": 8170 + }, + { + "epoch": 3.08, + "learning_rate": 0.000772614537496837, + "loss": 0.6976, + "step": 8180 + }, + { + "epoch": 3.08, + "learning_rate": 0.000770056528078281, + "loss": 0.6906, + "step": 8190 + }, + { + "epoch": 3.09, + "learning_rate": 0.0007675001062877892, + "loss": 0.6952, + "step": 8200 + }, + { + "epoch": 3.09, + "learning_rate": 0.0007649452897759911, + "loss": 0.6864, + "step": 8210 + }, + { + "epoch": 3.09, + "learning_rate": 0.0007623920961824323, + "loss": 0.7033, + "step": 8220 + }, + { + "epoch": 3.1, + "learning_rate": 0.0007598405431354533, + "loss": 0.6934, + "step": 8230 + }, + { + "epoch": 3.1, + "learning_rate": 0.0007572906482520673, + "loss": 0.694, + "step": 8240 + }, + { + "epoch": 3.11, + "learning_rate": 0.0007547424291378394, + "loss": 0.696, + "step": 8250 + }, + { + "epoch": 3.11, + "learning_rate": 0.0007521959033867638, + "loss": 0.6949, + "step": 8260 + }, + { + "epoch": 3.11, + "learning_rate": 0.0007496510885811433, + "loss": 0.6942, + "step": 8270 + }, + { + "epoch": 3.12, + "learning_rate": 0.0007471080022914678, + "loss": 0.6935, + "step": 8280 + }, + { + "epoch": 3.12, + "learning_rate": 0.0007445666620762923, + "loss": 0.6903, + "step": 8290 + }, + { + "epoch": 3.12, + "learning_rate": 0.0007420270854821167, + "loss": 0.6907, + "step": 8300 + }, + { + "epoch": 3.13, + "learning_rate": 0.0007394892900432635, + "loss": 0.6905, + "step": 8310 + }, + { + "epoch": 3.13, + "learning_rate": 0.000736953293281758, + "loss": 0.6896, + "step": 8320 + }, + { + "epoch": 3.14, + "learning_rate": 0.0007344191127072065, + "loss": 0.7011, + "step": 8330 + }, + { + "epoch": 3.14, + "learning_rate": 0.000731886765816675, + "loss": 0.6993, + "step": 8340 + }, + { + "epoch": 3.14, + "learning_rate": 0.0007293562700945696, + "loss": 0.6936, + "step": 8350 + }, + { + "epoch": 3.15, + "learning_rate": 0.0007268276430125149, + "loss": 0.6912, + "step": 8360 + }, + { + "epoch": 3.15, + "learning_rate": 0.0007243009020292335, + "loss": 0.708, + "step": 8370 + }, + { + "epoch": 3.15, + "learning_rate": 0.0007217760645904259, + "loss": 0.6942, + "step": 8380 + }, + { + "epoch": 3.16, + "learning_rate": 0.0007192531481286493, + "loss": 0.6937, + "step": 8390 + }, + { + "epoch": 3.16, + "learning_rate": 0.0007167321700631981, + "loss": 0.693, + "step": 8400 + }, + { + "epoch": 3.17, + "learning_rate": 0.0007142131477999826, + "loss": 0.6929, + "step": 8410 + }, + { + "epoch": 3.17, + "learning_rate": 0.0007116960987314103, + "loss": 0.6935, + "step": 8420 + }, + { + "epoch": 3.17, + "learning_rate": 0.000709181040236264, + "loss": 0.6935, + "step": 8430 + }, + { + "epoch": 3.18, + "learning_rate": 0.0007066679896795827, + "loss": 0.6939, + "step": 8440 + }, + { + "epoch": 3.18, + "learning_rate": 0.0007041569644125429, + "loss": 0.6932, + "step": 8450 + }, + { + "epoch": 3.18, + "learning_rate": 0.0007016479817723367, + "loss": 0.6929, + "step": 8460 + }, + { + "epoch": 3.19, + "learning_rate": 0.0006991410590820529, + "loss": 0.693, + "step": 8470 + }, + { + "epoch": 3.19, + "learning_rate": 0.000696636213650558, + "loss": 0.6938, + "step": 8480 + }, + { + "epoch": 3.2, + "learning_rate": 0.0006941334627723761, + "loss": 0.6921, + "step": 8490 + }, + { + "epoch": 3.2, + "learning_rate": 0.0006916328237275694, + "loss": 0.6955, + "step": 8500 + }, + { + "epoch": 3.2, + "learning_rate": 0.0006891343137816195, + "loss": 0.6915, + "step": 8510 + }, + { + "epoch": 3.21, + "learning_rate": 0.0006866379501853073, + "loss": 0.6935, + "step": 8520 + }, + { + "epoch": 3.21, + "learning_rate": 0.0006841437501745947, + "loss": 0.6936, + "step": 8530 + }, + { + "epoch": 3.21, + "learning_rate": 0.0006816517309705051, + "loss": 0.698, + "step": 8540 + }, + { + "epoch": 3.22, + "learning_rate": 0.0006791619097790049, + "loss": 0.6925, + "step": 8550 + }, + { + "epoch": 3.22, + "learning_rate": 0.0006766743037908844, + "loss": 0.6916, + "step": 8560 + }, + { + "epoch": 3.23, + "learning_rate": 0.0006741889301816391, + "loss": 0.6941, + "step": 8570 + }, + { + "epoch": 3.23, + "learning_rate": 0.0006717058061113513, + "loss": 0.6939, + "step": 8580 + }, + { + "epoch": 3.23, + "learning_rate": 0.0006692249487245714, + "loss": 0.6959, + "step": 8590 + }, + { + "epoch": 3.24, + "learning_rate": 0.0006667463751501996, + "loss": 0.6951, + "step": 8600 + }, + { + "epoch": 3.24, + "learning_rate": 0.0006642701025013682, + "loss": 0.6924, + "step": 8610 + }, + { + "epoch": 3.24, + "learning_rate": 0.0006617961478753223, + "loss": 0.6897, + "step": 8620 + }, + { + "epoch": 3.25, + "learning_rate": 0.0006593245283533025, + "loss": 0.6893, + "step": 8630 + }, + { + "epoch": 3.25, + "learning_rate": 0.000656855261000427, + "loss": 0.6887, + "step": 8640 + }, + { + "epoch": 3.26, + "learning_rate": 0.0006543883628655738, + "loss": 0.691, + "step": 8650 + }, + { + "epoch": 3.26, + "learning_rate": 0.0006519238509812623, + "loss": 0.6933, + "step": 8660 + }, + { + "epoch": 3.26, + "learning_rate": 0.0006494617423635367, + "loss": 0.703, + "step": 8670 + }, + { + "epoch": 3.27, + "learning_rate": 0.0006470020540118478, + "loss": 0.6978, + "step": 8680 + }, + { + "epoch": 3.27, + "learning_rate": 0.0006445448029089356, + "loss": 0.6925, + "step": 8690 + }, + { + "epoch": 3.27, + "learning_rate": 0.0006420900060207129, + "loss": 0.6941, + "step": 8700 + }, + { + "epoch": 3.28, + "learning_rate": 0.0006396376802961468, + "loss": 0.6933, + "step": 8710 + }, + { + "epoch": 3.28, + "learning_rate": 0.0006371878426671431, + "loss": 0.6912, + "step": 8720 + }, + { + "epoch": 3.29, + "learning_rate": 0.0006347405100484285, + "loss": 0.6882, + "step": 8730 + }, + { + "epoch": 3.29, + "learning_rate": 0.0006322956993374338, + "loss": 0.6938, + "step": 8740 + }, + { + "epoch": 3.29, + "learning_rate": 0.0006298534274141778, + "loss": 0.7052, + "step": 8750 + }, + { + "epoch": 3.3, + "learning_rate": 0.0006274137111411501, + "loss": 0.6937, + "step": 8760 + }, + { + "epoch": 3.3, + "learning_rate": 0.0006249765673631953, + "loss": 0.6942, + "step": 8770 + }, + { + "epoch": 3.3, + "learning_rate": 0.0006225420129073962, + "loss": 0.6926, + "step": 8780 + }, + { + "epoch": 3.31, + "learning_rate": 0.0006201100645829582, + "loss": 0.6935, + "step": 8790 + }, + { + "epoch": 3.31, + "learning_rate": 0.0006176807391810922, + "loss": 0.6958, + "step": 8800 + }, + { + "epoch": 3.32, + "learning_rate": 0.0006152540534748998, + "loss": 0.6935, + "step": 8810 + }, + { + "epoch": 3.32, + "learning_rate": 0.0006128300242192568, + "loss": 0.6928, + "step": 8820 + }, + { + "epoch": 3.32, + "learning_rate": 0.000610408668150698, + "loss": 0.6935, + "step": 8830 + }, + { + "epoch": 3.33, + "learning_rate": 0.0006079900019873008, + "loss": 0.6925, + "step": 8840 + }, + { + "epoch": 3.33, + "learning_rate": 0.0006055740424285712, + "loss": 0.6948, + "step": 8850 + }, + { + "epoch": 3.33, + "learning_rate": 0.0006031608061553267, + "loss": 0.6939, + "step": 8860 + }, + { + "epoch": 3.34, + "learning_rate": 0.0006007503098295828, + "loss": 0.6937, + "step": 8870 + }, + { + "epoch": 3.34, + "learning_rate": 0.000598342570094437, + "loss": 0.6938, + "step": 8880 + }, + { + "epoch": 3.35, + "learning_rate": 0.000595937603573954, + "loss": 0.6933, + "step": 8890 + }, + { + "epoch": 3.35, + "learning_rate": 0.0005935354268730509, + "loss": 0.6933, + "step": 8900 + }, + { + "epoch": 3.35, + "learning_rate": 0.0005911360565773833, + "loss": 0.6932, + "step": 8910 + }, + { + "epoch": 3.36, + "learning_rate": 0.0005887395092532299, + "loss": 0.694, + "step": 8920 + }, + { + "epoch": 3.36, + "learning_rate": 0.0005863458014473779, + "loss": 0.6893, + "step": 8930 + }, + { + "epoch": 3.36, + "learning_rate": 0.0005839549496870098, + "loss": 0.6985, + "step": 8940 + }, + { + "epoch": 3.37, + "learning_rate": 0.0005815669704795887, + "loss": 0.6949, + "step": 8950 + }, + { + "epoch": 3.37, + "learning_rate": 0.0005791818803127443, + "loss": 0.6927, + "step": 8960 + }, + { + "epoch": 3.38, + "learning_rate": 0.0005767996956541583, + "loss": 0.693, + "step": 8970 + }, + { + "epoch": 3.38, + "learning_rate": 0.0005744204329514533, + "loss": 0.6939, + "step": 8980 + }, + { + "epoch": 3.38, + "learning_rate": 0.0005720441086320763, + "loss": 0.6931, + "step": 8990 + }, + { + "epoch": 3.39, + "learning_rate": 0.0005696707391031861, + "loss": 0.6924, + "step": 9000 + }, + { + "epoch": 3.39, + "learning_rate": 0.0005673003407515417, + "loss": 0.6942, + "step": 9010 + }, + { + "epoch": 3.39, + "learning_rate": 0.0005649329299433861, + "loss": 0.6939, + "step": 9020 + }, + { + "epoch": 3.4, + "learning_rate": 0.0005625685230243369, + "loss": 0.6935, + "step": 9030 + }, + { + "epoch": 3.4, + "learning_rate": 0.0005602071363192695, + "loss": 0.6909, + "step": 9040 + }, + { + "epoch": 3.41, + "learning_rate": 0.0005578487861322086, + "loss": 0.6917, + "step": 9050 + }, + { + "epoch": 3.41, + "learning_rate": 0.0005554934887462116, + "loss": 0.6911, + "step": 9060 + }, + { + "epoch": 3.41, + "learning_rate": 0.0005531412604232595, + "loss": 0.6953, + "step": 9070 + }, + { + "epoch": 3.42, + "learning_rate": 0.0005507921174041419, + "loss": 0.6914, + "step": 9080 + }, + { + "epoch": 3.42, + "learning_rate": 0.0005484460759083478, + "loss": 0.6914, + "step": 9090 + }, + { + "epoch": 3.42, + "learning_rate": 0.0005461031521339498, + "loss": 0.6963, + "step": 9100 + }, + { + "epoch": 3.43, + "learning_rate": 0.0005437633622574961, + "loss": 0.69, + "step": 9110 + }, + { + "epoch": 3.43, + "learning_rate": 0.0005414267224338971, + "loss": 0.6921, + "step": 9120 + }, + { + "epoch": 3.44, + "learning_rate": 0.0005390932487963125, + "loss": 0.6899, + "step": 9130 + }, + { + "epoch": 3.44, + "learning_rate": 0.0005367629574560431, + "loss": 0.6983, + "step": 9140 + }, + { + "epoch": 3.44, + "learning_rate": 0.0005344358645024159, + "loss": 0.6912, + "step": 9150 + }, + { + "epoch": 3.45, + "learning_rate": 0.0005321119860026766, + "loss": 0.6927, + "step": 9160 + }, + { + "epoch": 3.45, + "learning_rate": 0.0005297913380018758, + "loss": 0.6944, + "step": 9170 + }, + { + "epoch": 3.46, + "learning_rate": 0.0005274739365227599, + "loss": 0.6939, + "step": 9180 + }, + { + "epoch": 3.46, + "learning_rate": 0.0005251597975656591, + "loss": 0.6927, + "step": 9190 + }, + { + "epoch": 3.46, + "learning_rate": 0.0005228489371083794, + "loss": 0.6934, + "step": 9200 + }, + { + "epoch": 3.47, + "learning_rate": 0.0005205413711060888, + "loss": 0.6897, + "step": 9210 + }, + { + "epoch": 3.47, + "learning_rate": 0.0005182371154912104, + "loss": 0.6963, + "step": 9220 + }, + { + "epoch": 3.47, + "learning_rate": 0.0005159361861733099, + "loss": 0.6926, + "step": 9230 + }, + { + "epoch": 3.48, + "learning_rate": 0.0005136385990389871, + "loss": 0.6953, + "step": 9240 + }, + { + "epoch": 3.48, + "learning_rate": 0.0005113443699517673, + "loss": 0.6982, + "step": 9250 + }, + { + "epoch": 3.49, + "learning_rate": 0.0005090535147519877, + "loss": 0.6939, + "step": 9260 + }, + { + "epoch": 3.49, + "learning_rate": 0.0005067660492566935, + "loss": 0.6924, + "step": 9270 + }, + { + "epoch": 3.49, + "learning_rate": 0.0005044819892595239, + "loss": 0.6935, + "step": 9280 + }, + { + "epoch": 3.5, + "learning_rate": 0.0005022013505306067, + "loss": 0.6965, + "step": 9290 + }, + { + "epoch": 3.5, + "learning_rate": 0.0004999241488164458, + "loss": 0.6936, + "step": 9300 + }, + { + "epoch": 3.5, + "learning_rate": 0.0004976503998398168, + "loss": 0.6938, + "step": 9310 + }, + { + "epoch": 3.51, + "learning_rate": 0.0004953801192996543, + "loss": 0.6938, + "step": 9320 + }, + { + "epoch": 3.51, + "learning_rate": 0.0004931133228709467, + "loss": 0.6909, + "step": 9330 + }, + { + "epoch": 3.52, + "learning_rate": 0.000490850026204625, + "loss": 0.6926, + "step": 9340 + }, + { + "epoch": 3.52, + "learning_rate": 0.0004885902449274581, + "loss": 0.693, + "step": 9350 + }, + { + "epoch": 3.52, + "learning_rate": 0.0004863339946419416, + "loss": 0.693, + "step": 9360 + }, + { + "epoch": 3.53, + "learning_rate": 0.0004840812909261928, + "loss": 0.6952, + "step": 9370 + }, + { + "epoch": 3.53, + "learning_rate": 0.0004818321493338418, + "loss": 0.6877, + "step": 9380 + }, + { + "epoch": 3.53, + "learning_rate": 0.00047958658539392317, + "loss": 0.7037, + "step": 9390 + }, + { + "epoch": 3.54, + "learning_rate": 0.0004773446146107716, + "loss": 0.6961, + "step": 9400 + }, + { + "epoch": 3.54, + "learning_rate": 0.00047510625246391126, + "loss": 0.6933, + "step": 9410 + }, + { + "epoch": 3.55, + "learning_rate": 0.0004728715144079524, + "loss": 0.6932, + "step": 9420 + }, + { + "epoch": 3.55, + "learning_rate": 0.0004706404158724815, + "loss": 0.6942, + "step": 9430 + }, + { + "epoch": 3.55, + "learning_rate": 0.00046841297226195777, + "loss": 0.6925, + "step": 9440 + }, + { + "epoch": 3.56, + "learning_rate": 0.0004661891989556035, + "loss": 0.6919, + "step": 9450 + }, + { + "epoch": 3.56, + "learning_rate": 0.0004639691113073017, + "loss": 0.6938, + "step": 9460 + }, + { + "epoch": 3.56, + "learning_rate": 0.00046175272464548566, + "loss": 0.6914, + "step": 9470 + }, + { + "epoch": 3.57, + "learning_rate": 0.0004595400542730379, + "loss": 0.6967, + "step": 9480 + }, + { + "epoch": 3.57, + "learning_rate": 0.00045733111546718, + "loss": 0.6926, + "step": 9490 + }, + { + "epoch": 3.58, + "learning_rate": 0.0004551259234793704, + "loss": 0.6952, + "step": 9500 + }, + { + "epoch": 3.58, + "learning_rate": 0.00045292449353519817, + "loss": 0.693, + "step": 9510 + }, + { + "epoch": 3.58, + "learning_rate": 0.00045072684083427616, + "loss": 0.694, + "step": 9520 + }, + { + "epoch": 3.59, + "learning_rate": 0.00044853298055013937, + "loss": 0.6932, + "step": 9530 + }, + { + "epoch": 3.59, + "learning_rate": 0.0004463429278301364, + "loss": 0.6926, + "step": 9540 + }, + { + "epoch": 3.59, + "learning_rate": 0.00044415669779532876, + "loss": 0.6922, + "step": 9550 + }, + { + "epoch": 3.6, + "learning_rate": 0.00044197430554038263, + "loss": 0.695, + "step": 9560 + }, + { + "epoch": 3.6, + "learning_rate": 0.0004397957661334684, + "loss": 0.694, + "step": 9570 + }, + { + "epoch": 3.61, + "learning_rate": 0.0004376210946161529, + "loss": 0.6929, + "step": 9580 + }, + { + "epoch": 3.61, + "learning_rate": 0.0004354503060032988, + "loss": 0.694, + "step": 9590 + }, + { + "epoch": 3.61, + "learning_rate": 0.00043328341528295854, + "loss": 0.6932, + "step": 9600 + }, + { + "epoch": 3.62, + "learning_rate": 0.000431120437416273, + "loss": 0.693, + "step": 9610 + }, + { + "epoch": 3.62, + "learning_rate": 0.0004289613873373657, + "loss": 0.6935, + "step": 9620 + }, + { + "epoch": 3.62, + "learning_rate": 0.00042680627995324196, + "loss": 0.6929, + "step": 9630 + }, + { + "epoch": 3.63, + "learning_rate": 0.0004246551301436851, + "loss": 0.6937, + "step": 9640 + }, + { + "epoch": 3.63, + "learning_rate": 0.0004225079527611526, + "loss": 0.6933, + "step": 9650 + }, + { + "epoch": 3.64, + "learning_rate": 0.0004203647626306761, + "loss": 0.6905, + "step": 9660 + }, + { + "epoch": 3.64, + "learning_rate": 0.0004182255745497562, + "loss": 0.6992, + "step": 9670 + }, + { + "epoch": 3.64, + "learning_rate": 0.00041609040328826274, + "loss": 0.6947, + "step": 9680 + }, + { + "epoch": 3.65, + "learning_rate": 0.00041395926358833067, + "loss": 0.6949, + "step": 9690 + }, + { + "epoch": 3.65, + "learning_rate": 0.00041183217016426034, + "loss": 0.6935, + "step": 9700 + }, + { + "epoch": 3.65, + "learning_rate": 0.00040970913770241427, + "loss": 0.6932, + "step": 9710 + }, + { + "epoch": 3.66, + "learning_rate": 0.000407590180861116, + "loss": 0.6939, + "step": 9720 + }, + { + "epoch": 3.66, + "learning_rate": 0.0004054753142705504, + "loss": 0.6935, + "step": 9730 + }, + { + "epoch": 3.67, + "learning_rate": 0.0004033645525326601, + "loss": 0.6925, + "step": 9740 + }, + { + "epoch": 3.67, + "learning_rate": 0.00040125791022104776, + "loss": 0.6932, + "step": 9750 + }, + { + "epoch": 3.67, + "learning_rate": 0.00039915540188087173, + "loss": 0.692, + "step": 9760 + }, + { + "epoch": 3.68, + "learning_rate": 0.0003970570420287496, + "loss": 0.6951, + "step": 9770 + }, + { + "epoch": 3.68, + "learning_rate": 0.00039496284515265446, + "loss": 0.6932, + "step": 9780 + }, + { + "epoch": 3.68, + "learning_rate": 0.0003928728257118178, + "loss": 0.6932, + "step": 9790 + }, + { + "epoch": 3.69, + "learning_rate": 0.0003907869981366269, + "loss": 0.6936, + "step": 9800 + }, + { + "epoch": 3.69, + "learning_rate": 0.000388705376828528, + "loss": 0.6931, + "step": 9810 + }, + { + "epoch": 3.7, + "learning_rate": 0.00038662797615992417, + "loss": 0.6932, + "step": 9820 + }, + { + "epoch": 3.7, + "learning_rate": 0.00038455481047407826, + "loss": 0.6947, + "step": 9830 + }, + { + "epoch": 3.7, + "learning_rate": 0.00038248589408501334, + "loss": 0.692, + "step": 9840 + }, + { + "epoch": 3.71, + "learning_rate": 0.00038042124127741193, + "loss": 0.6947, + "step": 9850 + }, + { + "epoch": 3.71, + "learning_rate": 0.00037836086630652077, + "loss": 0.6932, + "step": 9860 + }, + { + "epoch": 3.71, + "learning_rate": 0.00037630478339804906, + "loss": 0.694, + "step": 9870 + }, + { + "epoch": 3.72, + "learning_rate": 0.0003742530067480733, + "loss": 0.6935, + "step": 9880 + }, + { + "epoch": 3.72, + "learning_rate": 0.000372205550522936, + "loss": 0.693, + "step": 9890 + }, + { + "epoch": 3.73, + "learning_rate": 0.0003701624288591514, + "loss": 0.6929, + "step": 9900 + }, + { + "epoch": 3.73, + "learning_rate": 0.0003681236558633044, + "loss": 0.6931, + "step": 9910 + }, + { + "epoch": 3.73, + "learning_rate": 0.00036608924561195634, + "loss": 0.6936, + "step": 9920 + }, + { + "epoch": 3.74, + "learning_rate": 0.00036405921215154494, + "loss": 0.6939, + "step": 9930 + }, + { + "epoch": 3.74, + "learning_rate": 0.00036203356949829005, + "loss": 0.6926, + "step": 9940 + }, + { + "epoch": 3.74, + "learning_rate": 0.000360012331638094, + "loss": 0.6931, + "step": 9950 + }, + { + "epoch": 3.75, + "learning_rate": 0.00035799551252644777, + "loss": 0.6933, + "step": 9960 + }, + { + "epoch": 3.75, + "learning_rate": 0.0003559831260883334, + "loss": 0.6934, + "step": 9970 + }, + { + "epoch": 3.76, + "learning_rate": 0.0003539751862181267, + "loss": 0.6939, + "step": 9980 + }, + { + "epoch": 3.76, + "learning_rate": 0.00035197170677950387, + "loss": 0.6931, + "step": 9990 + }, + { + "epoch": 3.76, + "learning_rate": 0.0003499727016053431, + "loss": 0.6933, + "step": 10000 + }, + { + "epoch": 3.77, + "learning_rate": 0.0003479781844976316, + "loss": 0.6932, + "step": 10010 + }, + { + "epoch": 3.77, + "learning_rate": 0.0003459881692273678, + "loss": 0.6917, + "step": 10020 + }, + { + "epoch": 3.77, + "learning_rate": 0.0003440026695344688, + "loss": 0.6925, + "step": 10030 + }, + { + "epoch": 3.78, + "learning_rate": 0.0003420216991276729, + "loss": 0.6926, + "step": 10040 + }, + { + "epoch": 3.78, + "learning_rate": 0.00034004527168444754, + "loss": 0.6949, + "step": 10050 + }, + { + "epoch": 3.79, + "learning_rate": 0.00033807340085089256, + "loss": 0.6928, + "step": 10060 + }, + { + "epoch": 3.79, + "learning_rate": 0.0003361061002416479, + "loss": 0.6933, + "step": 10070 + }, + { + "epoch": 3.79, + "learning_rate": 0.00033414338343979756, + "loss": 0.6946, + "step": 10080 + }, + { + "epoch": 3.8, + "learning_rate": 0.0003321852639967783, + "loss": 0.6939, + "step": 10090 + }, + { + "epoch": 3.8, + "learning_rate": 0.0003302317554322841, + "loss": 0.6933, + "step": 10100 + }, + { + "epoch": 3.81, + "learning_rate": 0.00032828287123417324, + "loss": 0.6928, + "step": 10110 + }, + { + "epoch": 3.81, + "learning_rate": 0.00032633862485837594, + "loss": 0.6926, + "step": 10120 + }, + { + "epoch": 3.81, + "learning_rate": 0.0003243990297288002, + "loss": 0.6938, + "step": 10130 + }, + { + "epoch": 3.82, + "learning_rate": 0.00032246409923724083, + "loss": 0.6925, + "step": 10140 + }, + { + "epoch": 3.82, + "learning_rate": 0.00032053384674328477, + "loss": 0.6931, + "step": 10150 + }, + { + "epoch": 3.82, + "learning_rate": 0.0003186082855742213, + "loss": 0.6925, + "step": 10160 + }, + { + "epoch": 3.83, + "learning_rate": 0.00031668742902494763, + "loss": 0.6926, + "step": 10170 + }, + { + "epoch": 3.83, + "learning_rate": 0.00031477129035787944, + "loss": 0.6923, + "step": 10180 + }, + { + "epoch": 3.84, + "learning_rate": 0.0003128598828028568, + "loss": 0.6927, + "step": 10190 + }, + { + "epoch": 3.84, + "learning_rate": 0.0003109532195570556, + "loss": 0.6913, + "step": 10200 + }, + { + "epoch": 3.84, + "learning_rate": 0.0003090513137848936, + "loss": 0.6948, + "step": 10210 + }, + { + "epoch": 3.85, + "learning_rate": 0.0003071541786179418, + "loss": 0.6943, + "step": 10220 + }, + { + "epoch": 3.85, + "learning_rate": 0.0003052618271548332, + "loss": 0.6923, + "step": 10230 + }, + { + "epoch": 3.85, + "learning_rate": 0.0003033742724611709, + "loss": 0.6922, + "step": 10240 + }, + { + "epoch": 3.86, + "learning_rate": 0.0003014915275694401, + "loss": 0.6886, + "step": 10250 + }, + { + "epoch": 3.86, + "learning_rate": 0.00029961360547891636, + "loss": 0.6932, + "step": 10260 + }, + { + "epoch": 3.87, + "learning_rate": 0.0002977405191555773, + "loss": 0.6934, + "step": 10270 + }, + { + "epoch": 3.87, + "learning_rate": 0.0002958722815320114, + "loss": 0.6911, + "step": 10280 + }, + { + "epoch": 3.87, + "learning_rate": 0.00029400890550733064, + "loss": 0.6908, + "step": 10290 + }, + { + "epoch": 3.88, + "learning_rate": 0.0002921504039470795, + "loss": 0.6829, + "step": 10300 + }, + { + "epoch": 3.88, + "learning_rate": 0.0002902967896831481, + "loss": 0.697, + "step": 10310 + }, + { + "epoch": 3.88, + "learning_rate": 0.00028844807551368137, + "loss": 0.7049, + "step": 10320 + }, + { + "epoch": 3.89, + "learning_rate": 0.0002866042742029931, + "loss": 0.6985, + "step": 10330 + }, + { + "epoch": 3.89, + "learning_rate": 0.00028476539848147544, + "loss": 0.6987, + "step": 10340 + }, + { + "epoch": 3.9, + "learning_rate": 0.00028293146104551307, + "loss": 0.6929, + "step": 10350 + }, + { + "epoch": 3.9, + "learning_rate": 0.00028110247455739466, + "loss": 0.6934, + "step": 10360 + }, + { + "epoch": 3.9, + "learning_rate": 0.00027927845164522447, + "loss": 0.6924, + "step": 10370 + }, + { + "epoch": 3.91, + "learning_rate": 0.00027745940490283725, + "loss": 0.6944, + "step": 10380 + }, + { + "epoch": 3.91, + "learning_rate": 0.0002756453468897092, + "loss": 0.6945, + "step": 10390 + }, + { + "epoch": 3.91, + "learning_rate": 0.00027383629013087295, + "loss": 0.693, + "step": 10400 + }, + { + "epoch": 3.92, + "learning_rate": 0.0002720322471168296, + "loss": 0.6932, + "step": 10410 + }, + { + "epoch": 3.92, + "learning_rate": 0.00027023323030346416, + "loss": 0.6931, + "step": 10420 + }, + { + "epoch": 3.93, + "learning_rate": 0.00026843925211195743, + "loss": 0.6932, + "step": 10430 + }, + { + "epoch": 3.93, + "learning_rate": 0.00026665032492870255, + "loss": 0.6927, + "step": 10440 + }, + { + "epoch": 3.93, + "learning_rate": 0.00026486646110521737, + "loss": 0.6932, + "step": 10450 + }, + { + "epoch": 3.94, + "learning_rate": 0.00026308767295806114, + "loss": 0.6933, + "step": 10460 + }, + { + "epoch": 3.94, + "learning_rate": 0.0002613139727687472, + "loss": 0.6925, + "step": 10470 + }, + { + "epoch": 3.94, + "learning_rate": 0.0002595453727836606, + "loss": 0.6925, + "step": 10480 + }, + { + "epoch": 3.95, + "learning_rate": 0.0002577818852139723, + "loss": 0.6928, + "step": 10490 + }, + { + "epoch": 3.95, + "learning_rate": 0.0002560235222355539, + "loss": 0.6917, + "step": 10500 + }, + { + "epoch": 3.96, + "learning_rate": 0.00025427029598889606, + "loss": 0.6929, + "step": 10510 + }, + { + "epoch": 3.96, + "learning_rate": 0.0002525222185790219, + "loss": 0.6959, + "step": 10520 + }, + { + "epoch": 3.96, + "learning_rate": 0.000250779302075406, + "loss": 0.6946, + "step": 10530 + }, + { + "epoch": 3.97, + "learning_rate": 0.0002490415585118887, + "loss": 0.6934, + "step": 10540 + }, + { + "epoch": 3.97, + "learning_rate": 0.0002473089998865953, + "loss": 0.6931, + "step": 10550 + }, + { + "epoch": 3.97, + "learning_rate": 0.00024558163816185076, + "loss": 0.6948, + "step": 10560 + }, + { + "epoch": 3.98, + "learning_rate": 0.00024385948526409984, + "loss": 0.6935, + "step": 10570 + }, + { + "epoch": 3.98, + "learning_rate": 0.00024214255308382195, + "loss": 0.6922, + "step": 10580 + }, + { + "epoch": 3.99, + "learning_rate": 0.0002404308534754517, + "loss": 0.6937, + "step": 10590 + }, + { + "epoch": 3.99, + "learning_rate": 0.00023872439825729463, + "loss": 0.6922, + "step": 10600 + }, + { + "epoch": 3.99, + "learning_rate": 0.00023702319921144798, + "loss": 0.694, + "step": 10610 + }, + { + "epoch": 4.0, + "learning_rate": 0.00023532726808371673, + "loss": 0.6939, + "step": 10620 + }, + { + "epoch": 4.0, + "eval_accuracy": 0.496, + "eval_loss": 0.6932018399238586, + "eval_runtime": 38.6192, + "eval_samples_per_second": 97.102, + "eval_steps_per_second": 12.144, + "step": 10628 + }, + { + "epoch": 4.0, + "learning_rate": 0.00023363661658353508, + "loss": 0.6935, + "step": 10630 + }, + { + "epoch": 4.0, + "learning_rate": 0.00023195125638388425, + "loss": 0.6942, + "step": 10640 + }, + { + "epoch": 4.01, + "learning_rate": 0.00023027119912121107, + "loss": 0.6928, + "step": 10650 + }, + { + "epoch": 4.01, + "learning_rate": 0.0002285964563953501, + "loss": 0.6944, + "step": 10660 + }, + { + "epoch": 4.02, + "learning_rate": 0.00022692703976944062, + "loss": 0.694, + "step": 10670 + }, + { + "epoch": 4.02, + "learning_rate": 0.00022526296076984953, + "loss": 0.6931, + "step": 10680 + }, + { + "epoch": 4.02, + "learning_rate": 0.00022360423088608938, + "loss": 0.6924, + "step": 10690 + }, + { + "epoch": 4.03, + "learning_rate": 0.00022195086157074118, + "loss": 0.6938, + "step": 10700 + }, + { + "epoch": 4.03, + "learning_rate": 0.00022030286423937307, + "loss": 0.6934, + "step": 10710 + }, + { + "epoch": 4.03, + "learning_rate": 0.0002186602502704641, + "loss": 0.6929, + "step": 10720 + }, + { + "epoch": 4.04, + "learning_rate": 0.00021702303100532285, + "loss": 0.6926, + "step": 10730 + }, + { + "epoch": 4.04, + "learning_rate": 0.00021539121774801195, + "loss": 0.6941, + "step": 10740 + }, + { + "epoch": 4.05, + "learning_rate": 0.00021376482176526735, + "loss": 0.6938, + "step": 10750 + }, + { + "epoch": 4.05, + "learning_rate": 0.0002121438542864228, + "loss": 0.6926, + "step": 10760 + }, + { + "epoch": 4.05, + "learning_rate": 0.0002105283265033311, + "loss": 0.6927, + "step": 10770 + }, + { + "epoch": 4.06, + "learning_rate": 0.0002089182495702866, + "loss": 0.6948, + "step": 10780 + }, + { + "epoch": 4.06, + "learning_rate": 0.00020731363460394926, + "loss": 0.6931, + "step": 10790 + }, + { + "epoch": 4.06, + "learning_rate": 0.0002057144926832667, + "loss": 0.6926, + "step": 10800 + }, + { + "epoch": 4.07, + "learning_rate": 0.00020412083484939902, + "loss": 0.6941, + "step": 10810 + }, + { + "epoch": 4.07, + "learning_rate": 0.00020253267210564098, + "loss": 0.6938, + "step": 10820 + }, + { + "epoch": 4.08, + "learning_rate": 0.0002009500154173477, + "loss": 0.694, + "step": 10830 + }, + { + "epoch": 4.08, + "learning_rate": 0.00019937287571185748, + "loss": 0.6936, + "step": 10840 + }, + { + "epoch": 4.08, + "learning_rate": 0.00019780126387841768, + "loss": 0.6936, + "step": 10850 + }, + { + "epoch": 4.09, + "learning_rate": 0.00019623519076810792, + "loss": 0.6926, + "step": 10860 + }, + { + "epoch": 4.09, + "learning_rate": 0.00019467466719376726, + "loss": 0.6932, + "step": 10870 + }, + { + "epoch": 4.09, + "learning_rate": 0.0001931197039299174, + "loss": 0.6938, + "step": 10880 + }, + { + "epoch": 4.1, + "learning_rate": 0.0001915703117126897, + "loss": 0.6933, + "step": 10890 + }, + { + "epoch": 4.1, + "learning_rate": 0.0001900265012397514, + "loss": 0.6933, + "step": 10900 + }, + { + "epoch": 4.11, + "learning_rate": 0.0001884882831702289, + "loss": 0.6935, + "step": 10910 + }, + { + "epoch": 4.11, + "learning_rate": 0.0001869556681246386, + "loss": 0.6934, + "step": 10920 + }, + { + "epoch": 4.11, + "learning_rate": 0.0001854286666848096, + "loss": 0.6932, + "step": 10930 + }, + { + "epoch": 4.12, + "learning_rate": 0.0001839072893938133, + "loss": 0.6929, + "step": 10940 + }, + { + "epoch": 4.12, + "learning_rate": 0.00018239154675588854, + "loss": 0.6929, + "step": 10950 + }, + { + "epoch": 4.12, + "learning_rate": 0.00018088144923637117, + "loss": 0.6937, + "step": 10960 + }, + { + "epoch": 4.13, + "learning_rate": 0.00017937700726162033, + "loss": 0.6933, + "step": 10970 + }, + { + "epoch": 4.13, + "learning_rate": 0.0001778782312189463, + "loss": 0.6929, + "step": 10980 + }, + { + "epoch": 4.14, + "learning_rate": 0.00017638513145654033, + "loss": 0.6933, + "step": 10990 + }, + { + "epoch": 4.14, + "learning_rate": 0.0001748977182834013, + "loss": 0.6929, + "step": 11000 + }, + { + "epoch": 4.14, + "learning_rate": 0.00017341600196926632, + "loss": 0.6926, + "step": 11010 + }, + { + "epoch": 4.15, + "learning_rate": 0.00017193999274453775, + "loss": 0.6929, + "step": 11020 + }, + { + "epoch": 4.15, + "learning_rate": 0.0001704697008002153, + "loss": 0.693, + "step": 11030 + }, + { + "epoch": 4.16, + "learning_rate": 0.00016900513628782254, + "loss": 0.6932, + "step": 11040 + }, + { + "epoch": 4.16, + "learning_rate": 0.0001675463093193399, + "loss": 0.6937, + "step": 11050 + }, + { + "epoch": 4.16, + "learning_rate": 0.00016609322996713195, + "loss": 0.6928, + "step": 11060 + }, + { + "epoch": 4.17, + "learning_rate": 0.0001646459082638806, + "loss": 0.6921, + "step": 11070 + }, + { + "epoch": 4.17, + "learning_rate": 0.00016320435420251323, + "loss": 0.692, + "step": 11080 + }, + { + "epoch": 4.17, + "learning_rate": 0.00016176857773613575, + "loss": 0.6936, + "step": 11090 + }, + { + "epoch": 4.18, + "learning_rate": 0.00016033858877796326, + "loss": 0.6964, + "step": 11100 + }, + { + "epoch": 4.18, + "learning_rate": 0.00015891439720125056, + "loss": 0.6933, + "step": 11110 + }, + { + "epoch": 4.19, + "learning_rate": 0.00015749601283922567, + "loss": 0.6933, + "step": 11120 + }, + { + "epoch": 4.19, + "learning_rate": 0.0001560834454850205, + "loss": 0.693, + "step": 11130 + }, + { + "epoch": 4.19, + "learning_rate": 0.00015467670489160447, + "loss": 0.6941, + "step": 11140 + }, + { + "epoch": 4.2, + "learning_rate": 0.0001532758007717159, + "loss": 0.6933, + "step": 11150 + }, + { + "epoch": 4.2, + "learning_rate": 0.0001518807427977963, + "loss": 0.6932, + "step": 11160 + }, + { + "epoch": 4.2, + "learning_rate": 0.00015049154060192194, + "loss": 0.6934, + "step": 11170 + }, + { + "epoch": 4.21, + "learning_rate": 0.00014910820377573954, + "loss": 0.6937, + "step": 11180 + }, + { + "epoch": 4.21, + "learning_rate": 0.00014773074187039758, + "loss": 0.6927, + "step": 11190 + }, + { + "epoch": 4.22, + "learning_rate": 0.00014635916439648255, + "loss": 0.6937, + "step": 11200 + }, + { + "epoch": 4.22, + "learning_rate": 0.00014499348082395137, + "loss": 0.6934, + "step": 11210 + }, + { + "epoch": 4.22, + "learning_rate": 0.0001436337005820678, + "loss": 0.6935, + "step": 11220 + }, + { + "epoch": 4.23, + "learning_rate": 0.00014227983305933634, + "loss": 0.6931, + "step": 11230 + }, + { + "epoch": 4.23, + "learning_rate": 0.00014093188760343678, + "loss": 0.6927, + "step": 11240 + }, + { + "epoch": 4.23, + "learning_rate": 0.0001395898735211616, + "loss": 0.6932, + "step": 11250 + }, + { + "epoch": 4.24, + "learning_rate": 0.00013825380007834932, + "loss": 0.6928, + "step": 11260 + }, + { + "epoch": 4.24, + "learning_rate": 0.00013692367649982296, + "loss": 0.6939, + "step": 11270 + }, + { + "epoch": 4.25, + "learning_rate": 0.00013559951196932384, + "loss": 0.6936, + "step": 11280 + }, + { + "epoch": 4.25, + "learning_rate": 0.0001342813156294509, + "loss": 0.6933, + "step": 11290 + }, + { + "epoch": 4.25, + "learning_rate": 0.00013296909658159473, + "loss": 0.6932, + "step": 11300 + }, + { + "epoch": 4.26, + "learning_rate": 0.00013166286388587733, + "loss": 0.6935, + "step": 11310 + }, + { + "epoch": 4.26, + "learning_rate": 0.00013036262656108743, + "loss": 0.6933, + "step": 11320 + }, + { + "epoch": 4.26, + "learning_rate": 0.00012906839358461987, + "loss": 0.6929, + "step": 11330 + }, + { + "epoch": 4.27, + "learning_rate": 0.00012778017389241224, + "loss": 0.6936, + "step": 11340 + }, + { + "epoch": 4.27, + "learning_rate": 0.0001264979763788845, + "loss": 0.6932, + "step": 11350 + }, + { + "epoch": 4.28, + "learning_rate": 0.0001252218098968766, + "loss": 0.6925, + "step": 11360 + }, + { + "epoch": 4.28, + "learning_rate": 0.00012395168325758744, + "loss": 0.6938, + "step": 11370 + }, + { + "epoch": 4.28, + "learning_rate": 0.0001226876052305148, + "loss": 0.6931, + "step": 11380 + }, + { + "epoch": 4.29, + "learning_rate": 0.0001214295845433937, + "loss": 0.6933, + "step": 11390 + }, + { + "epoch": 4.29, + "learning_rate": 0.00012017762988213721, + "loss": 0.693, + "step": 11400 + }, + { + "epoch": 4.29, + "learning_rate": 0.00011893174989077537, + "loss": 0.6937, + "step": 11410 + }, + { + "epoch": 4.3, + "learning_rate": 0.0001176919531713968, + "loss": 0.6931, + "step": 11420 + }, + { + "epoch": 4.3, + "learning_rate": 0.0001164582482840878, + "loss": 0.6933, + "step": 11430 + }, + { + "epoch": 4.31, + "learning_rate": 0.00011523064374687497, + "loss": 0.6936, + "step": 11440 + }, + { + "epoch": 4.31, + "learning_rate": 0.00011400914803566464, + "loss": 0.6926, + "step": 11450 + }, + { + "epoch": 4.31, + "learning_rate": 0.00011279376958418597, + "loss": 0.693, + "step": 11460 + }, + { + "epoch": 4.32, + "learning_rate": 0.00011158451678393111, + "loss": 0.6928, + "step": 11470 + }, + { + "epoch": 4.32, + "learning_rate": 0.00011038139798409862, + "loss": 0.6927, + "step": 11480 + }, + { + "epoch": 4.32, + "learning_rate": 0.00010918442149153551, + "loss": 0.6937, + "step": 11490 + }, + { + "epoch": 4.33, + "learning_rate": 0.000107993595570679, + "loss": 0.6938, + "step": 11500 + }, + { + "epoch": 4.33, + "learning_rate": 0.00010680892844350076, + "loss": 0.6934, + "step": 11510 + }, + { + "epoch": 4.34, + "learning_rate": 0.00010563042828944902, + "loss": 0.6927, + "step": 11520 + }, + { + "epoch": 4.34, + "learning_rate": 0.00010445810324539306, + "loss": 0.6934, + "step": 11530 + }, + { + "epoch": 4.34, + "learning_rate": 0.00010329196140556608, + "loss": 0.6936, + "step": 11540 + }, + { + "epoch": 4.35, + "learning_rate": 0.00010213201082151036, + "loss": 0.6936, + "step": 11550 + }, + { + "epoch": 4.35, + "learning_rate": 0.00010097825950202033, + "loss": 0.6937, + "step": 11560 + }, + { + "epoch": 4.35, + "learning_rate": 9.983071541308897e-05, + "loss": 0.6929, + "step": 11570 + }, + { + "epoch": 4.36, + "learning_rate": 9.868938647785097e-05, + "loss": 0.6934, + "step": 11580 + }, + { + "epoch": 4.36, + "learning_rate": 9.755428057652982e-05, + "loss": 0.6932, + "step": 11590 + }, + { + "epoch": 4.37, + "learning_rate": 9.642540554638169e-05, + "loss": 0.6932, + "step": 11600 + }, + { + "epoch": 4.37, + "learning_rate": 9.530276918164271e-05, + "loss": 0.6933, + "step": 11610 + }, + { + "epoch": 4.37, + "learning_rate": 9.418637923347462e-05, + "loss": 0.6934, + "step": 11620 + }, + { + "epoch": 4.38, + "learning_rate": 9.307624340991072e-05, + "loss": 0.6935, + "step": 11630 + }, + { + "epoch": 4.38, + "learning_rate": 9.197236937580378e-05, + "loss": 0.6932, + "step": 11640 + }, + { + "epoch": 4.38, + "learning_rate": 9.08747647527718e-05, + "loss": 0.6933, + "step": 11650 + }, + { + "epoch": 4.39, + "learning_rate": 8.978343711914694e-05, + "loss": 0.6933, + "step": 11660 + }, + { + "epoch": 4.39, + "learning_rate": 8.869839400992153e-05, + "loss": 0.6931, + "step": 11670 + }, + { + "epoch": 4.4, + "learning_rate": 8.761964291669756e-05, + "loss": 0.6926, + "step": 11680 + }, + { + "epoch": 4.4, + "learning_rate": 8.654719128763333e-05, + "loss": 0.6933, + "step": 11690 + }, + { + "epoch": 4.4, + "learning_rate": 8.548104652739419e-05, + "loss": 0.6935, + "step": 11700 + }, + { + "epoch": 4.41, + "learning_rate": 8.442121599709896e-05, + "loss": 0.6932, + "step": 11710 + }, + { + "epoch": 4.41, + "learning_rate": 8.336770701427132e-05, + "loss": 0.6933, + "step": 11720 + }, + { + "epoch": 4.41, + "learning_rate": 8.232052685278735e-05, + "loss": 0.6932, + "step": 11730 + }, + { + "epoch": 4.42, + "learning_rate": 8.127968274282683e-05, + "loss": 0.693, + "step": 11740 + }, + { + "epoch": 4.42, + "learning_rate": 8.024518187082297e-05, + "loss": 0.693, + "step": 11750 + }, + { + "epoch": 4.43, + "learning_rate": 7.921703137941172e-05, + "loss": 0.6929, + "step": 11760 + }, + { + "epoch": 4.43, + "learning_rate": 7.819523836738406e-05, + "loss": 0.6927, + "step": 11770 + }, + { + "epoch": 4.43, + "learning_rate": 7.717980988963569e-05, + "loss": 0.6929, + "step": 11780 + }, + { + "epoch": 4.44, + "learning_rate": 7.61707529571194e-05, + "loss": 0.6929, + "step": 11790 + }, + { + "epoch": 4.44, + "learning_rate": 7.516807453679531e-05, + "loss": 0.6932, + "step": 11800 + }, + { + "epoch": 4.44, + "learning_rate": 7.417178155158444e-05, + "loss": 0.6931, + "step": 11810 + }, + { + "epoch": 4.45, + "learning_rate": 7.318188088031929e-05, + "loss": 0.6932, + "step": 11820 + }, + { + "epoch": 4.45, + "learning_rate": 7.219837935769768e-05, + "loss": 0.6933, + "step": 11830 + }, + { + "epoch": 4.46, + "learning_rate": 7.122128377423454e-05, + "loss": 0.6936, + "step": 11840 + }, + { + "epoch": 4.46, + "learning_rate": 7.025060087621571e-05, + "loss": 0.6928, + "step": 11850 + }, + { + "epoch": 4.46, + "learning_rate": 6.928633736565093e-05, + "loss": 0.6932, + "step": 11860 + }, + { + "epoch": 4.47, + "learning_rate": 6.832849990022793e-05, + "loss": 0.6933, + "step": 11870 + }, + { + "epoch": 4.47, + "learning_rate": 6.737709509326628e-05, + "loss": 0.6931, + "step": 11880 + }, + { + "epoch": 4.47, + "learning_rate": 6.64321295136714e-05, + "loss": 0.6933, + "step": 11890 + }, + { + "epoch": 4.48, + "learning_rate": 6.549360968589002e-05, + "loss": 0.6931, + "step": 11900 + }, + { + "epoch": 4.48, + "learning_rate": 6.45615420898641e-05, + "loss": 0.6934, + "step": 11910 + }, + { + "epoch": 4.49, + "learning_rate": 6.363593316098725e-05, + "loss": 0.6932, + "step": 11920 + }, + { + "epoch": 4.49, + "learning_rate": 6.271678929005897e-05, + "loss": 0.6932, + "step": 11930 + }, + { + "epoch": 4.49, + "learning_rate": 6.180411682324194e-05, + "loss": 0.6931, + "step": 11940 + }, + { + "epoch": 4.5, + "learning_rate": 6.089792206201694e-05, + "loss": 0.6932, + "step": 11950 + }, + { + "epoch": 4.5, + "learning_rate": 5.9998211263140314e-05, + "loss": 0.6927, + "step": 11960 + }, + { + "epoch": 4.51, + "learning_rate": 5.9104990638599976e-05, + "loss": 0.6933, + "step": 11970 + }, + { + "epoch": 4.51, + "learning_rate": 5.8218266355573255e-05, + "loss": 0.6935, + "step": 11980 + }, + { + "epoch": 4.51, + "learning_rate": 5.7338044536383694e-05, + "loss": 0.6932, + "step": 11990 + }, + { + "epoch": 4.52, + "learning_rate": 5.646433125845929e-05, + "loss": 0.6932, + "step": 12000 + }, + { + "epoch": 4.52, + "learning_rate": 5.559713255429011e-05, + "loss": 0.6924, + "step": 12010 + }, + { + "epoch": 4.52, + "learning_rate": 5.4736454411386746e-05, + "loss": 0.693, + "step": 12020 + }, + { + "epoch": 4.53, + "learning_rate": 5.388230277223938e-05, + "loss": 0.6936, + "step": 12030 + }, + { + "epoch": 4.53, + "learning_rate": 5.303468353427587e-05, + "loss": 0.6935, + "step": 12040 + }, + { + "epoch": 4.54, + "learning_rate": 5.2193602549822307e-05, + "loss": 0.6932, + "step": 12050 + }, + { + "epoch": 4.54, + "learning_rate": 5.1359065626061186e-05, + "loss": 0.6932, + "step": 12060 + }, + { + "epoch": 4.54, + "learning_rate": 5.05310785249925e-05, + "loss": 0.6933, + "step": 12070 + }, + { + "epoch": 4.55, + "learning_rate": 4.9709646963393084e-05, + "loss": 0.6927, + "step": 12080 + }, + { + "epoch": 4.55, + "learning_rate": 4.889477661277797e-05, + "loss": 0.693, + "step": 12090 + }, + { + "epoch": 4.55, + "learning_rate": 4.808647309936043e-05, + "loss": 0.6934, + "step": 12100 + }, + { + "epoch": 4.56, + "learning_rate": 4.7284742004013445e-05, + "loss": 0.6932, + "step": 12110 + }, + { + "epoch": 4.56, + "learning_rate": 4.6489588862231534e-05, + "loss": 0.6931, + "step": 12120 + }, + { + "epoch": 4.57, + "learning_rate": 4.5701019164091865e-05, + "loss": 0.6929, + "step": 12130 + }, + { + "epoch": 4.57, + "learning_rate": 4.491903835421707e-05, + "loss": 0.6937, + "step": 12140 + }, + { + "epoch": 4.57, + "learning_rate": 4.4143651831736964e-05, + "loss": 0.6927, + "step": 12150 + }, + { + "epoch": 4.58, + "learning_rate": 4.337486495025167e-05, + "loss": 0.6936, + "step": 12160 + }, + { + "epoch": 4.58, + "learning_rate": 4.261268301779453e-05, + "loss": 0.6927, + "step": 12170 + }, + { + "epoch": 4.58, + "learning_rate": 4.185711129679581e-05, + "loss": 0.6934, + "step": 12180 + }, + { + "epoch": 4.59, + "learning_rate": 4.110815500404541e-05, + "loss": 0.6929, + "step": 12190 + }, + { + "epoch": 4.59, + "learning_rate": 4.0365819310658194e-05, + "loss": 0.6929, + "step": 12200 + }, + { + "epoch": 4.6, + "learning_rate": 3.963010934203692e-05, + "loss": 0.6933, + "step": 12210 + }, + { + "epoch": 4.6, + "learning_rate": 3.890103017783808e-05, + "loss": 0.6936, + "step": 12220 + }, + { + "epoch": 4.6, + "learning_rate": 3.817858685193609e-05, + "loss": 0.6937, + "step": 12230 + }, + { + "epoch": 4.61, + "learning_rate": 3.7462784352388365e-05, + "loss": 0.6929, + "step": 12240 + }, + { + "epoch": 4.61, + "learning_rate": 3.6753627621401666e-05, + "loss": 0.6921, + "step": 12250 + }, + { + "epoch": 4.61, + "learning_rate": 3.605112155529722e-05, + "loss": 0.6934, + "step": 12260 + }, + { + "epoch": 4.62, + "learning_rate": 3.535527100447733e-05, + "loss": 0.6936, + "step": 12270 + }, + { + "epoch": 4.62, + "learning_rate": 3.466608077339184e-05, + "loss": 0.6932, + "step": 12280 + }, + { + "epoch": 4.63, + "learning_rate": 3.3983555620504815e-05, + "loss": 0.6927, + "step": 12290 + }, + { + "epoch": 4.63, + "learning_rate": 3.330770025826169e-05, + "loss": 0.6936, + "step": 12300 + }, + { + "epoch": 4.63, + "learning_rate": 3.263851935305717e-05, + "loss": 0.6928, + "step": 12310 + }, + { + "epoch": 4.64, + "learning_rate": 3.1976017525202074e-05, + "loss": 0.6927, + "step": 12320 + }, + { + "epoch": 4.64, + "learning_rate": 3.132019934889252e-05, + "loss": 0.6934, + "step": 12330 + }, + { + "epoch": 4.64, + "learning_rate": 3.067106935217767e-05, + "loss": 0.6936, + "step": 12340 + }, + { + "epoch": 4.65, + "learning_rate": 3.0028632016928404e-05, + "loss": 0.6934, + "step": 12350 + }, + { + "epoch": 4.65, + "learning_rate": 2.9392891778807218e-05, + "loss": 0.6932, + "step": 12360 + }, + { + "epoch": 4.66, + "learning_rate": 2.8763853027236276e-05, + "loss": 0.6933, + "step": 12370 + }, + { + "epoch": 4.66, + "learning_rate": 2.814152010536819e-05, + "loss": 0.6931, + "step": 12380 + }, + { + "epoch": 4.66, + "learning_rate": 2.7525897310055504e-05, + "loss": 0.693, + "step": 12390 + }, + { + "epoch": 4.67, + "learning_rate": 2.6916988891821594e-05, + "loss": 0.6932, + "step": 12400 + }, + { + "epoch": 4.67, + "learning_rate": 2.631479905483014e-05, + "loss": 0.6932, + "step": 12410 + }, + { + "epoch": 4.67, + "learning_rate": 2.5719331956857607e-05, + "loss": 0.693, + "step": 12420 + }, + { + "epoch": 4.68, + "learning_rate": 2.5130591709263352e-05, + "loss": 0.6932, + "step": 12430 + }, + { + "epoch": 4.68, + "learning_rate": 2.454858237696189e-05, + "loss": 0.6931, + "step": 12440 + }, + { + "epoch": 4.69, + "learning_rate": 2.3973307978394475e-05, + "loss": 0.6928, + "step": 12450 + }, + { + "epoch": 4.69, + "learning_rate": 2.3404772485501657e-05, + "loss": 0.6931, + "step": 12460 + }, + { + "epoch": 4.69, + "learning_rate": 2.284297982369543e-05, + "loss": 0.6928, + "step": 12470 + }, + { + "epoch": 4.7, + "learning_rate": 2.22879338718327e-05, + "loss": 0.6934, + "step": 12480 + }, + { + "epoch": 4.7, + "learning_rate": 2.1739638462188293e-05, + "loss": 0.6931, + "step": 12490 + }, + { + "epoch": 4.7, + "learning_rate": 2.1198097380427773e-05, + "loss": 0.693, + "step": 12500 + }, + { + "epoch": 4.71, + "learning_rate": 2.0663314365582663e-05, + "loss": 0.6931, + "step": 12510 + }, + { + "epoch": 4.71, + "learning_rate": 2.013529311002349e-05, + "loss": 0.6929, + "step": 12520 + }, + { + "epoch": 4.72, + "learning_rate": 1.961403725943478e-05, + "loss": 0.6932, + "step": 12530 + }, + { + "epoch": 4.72, + "learning_rate": 1.9099550412789878e-05, + "loss": 0.6934, + "step": 12540 + }, + { + "epoch": 4.72, + "learning_rate": 1.8591836122326068e-05, + "loss": 0.6929, + "step": 12550 + }, + { + "epoch": 4.73, + "learning_rate": 1.80908978935197e-05, + "loss": 0.6928, + "step": 12560 + }, + { + "epoch": 4.73, + "learning_rate": 1.759673918506277e-05, + "loss": 0.6934, + "step": 12570 + }, + { + "epoch": 4.73, + "learning_rate": 1.7109363408838173e-05, + "loss": 0.693, + "step": 12580 + }, + { + "epoch": 4.74, + "learning_rate": 1.6628773929896922e-05, + "loss": 0.6934, + "step": 12590 + }, + { + "epoch": 4.74, + "learning_rate": 1.615497406643396e-05, + "loss": 0.6934, + "step": 12600 + }, + { + "epoch": 4.75, + "learning_rate": 1.5687967089766386e-05, + "loss": 0.6933, + "step": 12610 + }, + { + "epoch": 4.75, + "learning_rate": 1.5227756224310052e-05, + "loss": 0.693, + "step": 12620 + }, + { + "epoch": 4.75, + "learning_rate": 1.4774344647557558e-05, + "loss": 0.6929, + "step": 12630 + }, + { + "epoch": 4.76, + "learning_rate": 1.4327735490056281e-05, + "loss": 0.6935, + "step": 12640 + }, + { + "epoch": 4.76, + "learning_rate": 1.3887931835386947e-05, + "loss": 0.6935, + "step": 12650 + }, + { + "epoch": 4.76, + "learning_rate": 1.3454936720141975e-05, + "loss": 0.6935, + "step": 12660 + }, + { + "epoch": 4.77, + "learning_rate": 1.3028753133904836e-05, + "loss": 0.6933, + "step": 12670 + }, + { + "epoch": 4.77, + "learning_rate": 1.2609384019229286e-05, + "loss": 0.6933, + "step": 12680 + }, + { + "epoch": 4.78, + "learning_rate": 1.219683227161894e-05, + "loss": 0.6927, + "step": 12690 + }, + { + "epoch": 4.78, + "learning_rate": 1.1791100739507622e-05, + "loss": 0.6929, + "step": 12700 + }, + { + "epoch": 4.78, + "learning_rate": 1.1392192224239261e-05, + "loss": 0.6929, + "step": 12710 + }, + { + "epoch": 4.79, + "learning_rate": 1.1000109480048926e-05, + "loss": 0.6931, + "step": 12720 + }, + { + "epoch": 4.79, + "learning_rate": 1.0614855214043373e-05, + "loss": 0.6935, + "step": 12730 + }, + { + "epoch": 4.79, + "learning_rate": 1.0236432086182968e-05, + "loss": 0.6931, + "step": 12740 + }, + { + "epoch": 4.8, + "learning_rate": 9.8648427092628e-06, + "loss": 0.6933, + "step": 12750 + }, + { + "epoch": 4.8, + "learning_rate": 9.500089648894706e-06, + "loss": 0.6927, + "step": 12760 + }, + { + "epoch": 4.81, + "learning_rate": 9.142175423490052e-06, + "loss": 0.693, + "step": 12770 + }, + { + "epoch": 4.81, + "learning_rate": 8.791102504241422e-06, + "loss": 0.6936, + "step": 12780 + }, + { + "epoch": 4.81, + "learning_rate": 8.446873315106629e-06, + "loss": 0.6936, + "step": 12790 + }, + { + "epoch": 4.82, + "learning_rate": 8.109490232790951e-06, + "loss": 0.6932, + "step": 12800 + }, + { + "epoch": 4.82, + "learning_rate": 7.778955586731696e-06, + "loss": 0.6929, + "step": 12810 + }, + { + "epoch": 4.82, + "learning_rate": 7.455271659081331e-06, + "loss": 0.6928, + "step": 12820 + }, + { + "epoch": 4.83, + "learning_rate": 7.138440684692049e-06, + "loss": 0.6934, + "step": 12830 + }, + { + "epoch": 4.83, + "learning_rate": 6.828464851100558e-06, + "loss": 0.6931, + "step": 12840 + }, + { + "epoch": 4.84, + "learning_rate": 6.5253462985123135e-06, + "loss": 0.6931, + "step": 12850 + }, + { + "epoch": 4.84, + "learning_rate": 6.229087119787646e-06, + "loss": 0.6931, + "step": 12860 + }, + { + "epoch": 4.84, + "learning_rate": 5.939689360426548e-06, + "loss": 0.6929, + "step": 12870 + }, + { + "epoch": 4.85, + "learning_rate": 5.657155018555016e-06, + "loss": 0.693, + "step": 12880 + }, + { + "epoch": 4.85, + "learning_rate": 5.381486044910733e-06, + "loss": 0.693, + "step": 12890 + }, + { + "epoch": 4.86, + "learning_rate": 5.1126843428302985e-06, + "loss": 0.6932, + "step": 12900 + }, + { + "epoch": 4.86, + "learning_rate": 4.850751768235684e-06, + "loss": 0.693, + "step": 12910 + }, + { + "epoch": 4.86, + "learning_rate": 4.5956901296214655e-06, + "loss": 0.693, + "step": 12920 + }, + { + "epoch": 4.87, + "learning_rate": 4.347501188041947e-06, + "loss": 0.6929, + "step": 12930 + }, + { + "epoch": 4.87, + "learning_rate": 4.106186657100053e-06, + "loss": 0.6935, + "step": 12940 + }, + { + "epoch": 4.87, + "learning_rate": 3.871748202934344e-06, + "loss": 0.6937, + "step": 12950 + }, + { + "epoch": 4.88, + "learning_rate": 3.644187444208247e-06, + "loss": 0.6928, + "step": 12960 + }, + { + "epoch": 4.88, + "learning_rate": 3.4235059520983934e-06, + "loss": 0.693, + "step": 12970 + }, + { + "epoch": 4.89, + "learning_rate": 3.2097052502843004e-06, + "loss": 0.6931, + "step": 12980 + }, + { + "epoch": 4.89, + "learning_rate": 3.002786814937486e-06, + "loss": 0.6932, + "step": 12990 + }, + { + "epoch": 4.89, + "learning_rate": 2.8027520747112566e-06, + "loss": 0.6932, + "step": 13000 + }, + { + "epoch": 4.9, + "learning_rate": 2.609602410730938e-06, + "loss": 0.6929, + "step": 13010 + }, + { + "epoch": 4.9, + "learning_rate": 2.4233391565845475e-06, + "loss": 0.6929, + "step": 13020 + }, + { + "epoch": 4.9, + "learning_rate": 2.243963598313137e-06, + "loss": 0.6935, + "step": 13030 + }, + { + "epoch": 4.91, + "learning_rate": 2.071476974402353e-06, + "loss": 0.6933, + "step": 13040 + }, + { + "epoch": 4.91, + "learning_rate": 1.9058804757735582e-06, + "loss": 0.6935, + "step": 13050 + }, + { + "epoch": 4.92, + "learning_rate": 1.7471752457757228e-06, + "loss": 0.6929, + "step": 13060 + }, + { + "epoch": 4.92, + "learning_rate": 1.5953623801778783e-06, + "loss": 0.6932, + "step": 13070 + }, + { + "epoch": 4.92, + "learning_rate": 1.4504429271606778e-06, + "loss": 0.6936, + "step": 13080 + }, + { + "epoch": 4.93, + "learning_rate": 1.312417887310069e-06, + "loss": 0.6927, + "step": 13090 + }, + { + "epoch": 4.93, + "learning_rate": 1.1812882136100767e-06, + "loss": 0.6932, + "step": 13100 + }, + { + "epoch": 4.93, + "learning_rate": 1.05705481143592e-06, + "loss": 0.6934, + "step": 13110 + }, + { + "epoch": 4.94, + "learning_rate": 9.397185385482398e-07, + "loss": 0.693, + "step": 13120 + }, + { + "epoch": 4.94, + "learning_rate": 8.292802050867687e-07, + "loss": 0.693, + "step": 13130 + }, + { + "epoch": 4.95, + "learning_rate": 7.257405735650036e-07, + "loss": 0.6931, + "step": 13140 + }, + { + "epoch": 4.95, + "learning_rate": 6.291003588648759e-07, + "loss": 0.6937, + "step": 13150 + }, + { + "epoch": 4.95, + "learning_rate": 5.393602282317555e-07, + "loss": 0.6929, + "step": 13160 + }, + { + "epoch": 4.96, + "learning_rate": 4.565208012697886e-07, + "loss": 0.6936, + "step": 13170 + }, + { + "epoch": 4.96, + "learning_rate": 3.8058264993778846e-07, + "loss": 0.6931, + "step": 13180 + }, + { + "epoch": 4.96, + "learning_rate": 3.1154629854546203e-07, + "loss": 0.6933, + "step": 13190 + }, + { + "epoch": 4.97, + "learning_rate": 2.494122237490792e-07, + "loss": 0.693, + "step": 13200 + }, + { + "epoch": 4.97, + "learning_rate": 1.9418085454880886e-07, + "loss": 0.6931, + "step": 13210 + }, + { + "epoch": 4.98, + "learning_rate": 1.4585257228594272e-07, + "loss": 0.693, + "step": 13220 + }, + { + "epoch": 4.98, + "learning_rate": 1.044277106393432e-07, + "loss": 0.6932, + "step": 13230 + }, + { + "epoch": 4.98, + "learning_rate": 6.990655562411074e-08, + "loss": 0.6929, + "step": 13240 + }, + { + "epoch": 4.99, + "learning_rate": 4.2289345588919505e-08, + "loss": 0.6929, + "step": 13250 + }, + { + "epoch": 4.99, + "learning_rate": 2.1576271214907017e-08, + "loss": 0.6934, + "step": 13260 + }, + { + "epoch": 4.99, + "learning_rate": 7.767475514008915e-09, + "loss": 0.6932, + "step": 13270 + }, + { + "epoch": 5.0, + "learning_rate": 8.630538280707256e-10, + "loss": 0.6935, + "step": 13280 + }, + { + "epoch": 5.0, + "eval_accuracy": 0.504, + "eval_loss": 0.6931441426277161, + "eval_runtime": 38.7711, + "eval_samples_per_second": 96.722, + "eval_steps_per_second": 12.097, + "step": 13285 + }, + { + "epoch": 5.0, + "step": 13285, + "total_flos": 1.3244422721025072e+16, + "train_loss": 0.6908724272659411, + "train_runtime": 3467.8448, + "train_samples_per_second": 30.639, + "train_steps_per_second": 3.831 + } + ], + "max_steps": 13285, + "num_train_epochs": 5, + "total_flos": 1.3244422721025072e+16, + "trial_name": null, + "trial_params": null +}