diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,26032 @@ +{ + "best_metric": 0.8022026419639587, + "best_model_checkpoint": "./wikiart/checkpoint-43270", + "epoch": 5.0, + "global_step": 43270, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 1.9995377859949158e-05, + "loss": 2.3889, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 1.9990755719898315e-05, + "loss": 2.3964, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 1.998613357984747e-05, + "loss": 2.3587, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 1.9981511439796628e-05, + "loss": 2.3379, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 1.997688929974578e-05, + "loss": 2.2528, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 1.997226715969494e-05, + "loss": 2.3131, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 1.9967645019644098e-05, + "loss": 2.2779, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 1.996302287959325e-05, + "loss": 2.2319, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 1.9958400739542408e-05, + "loss": 2.2564, + "step": 90 + }, + { + "epoch": 0.01, + "learning_rate": 1.9953778599491568e-05, + "loss": 2.2565, + "step": 100 + }, + { + "epoch": 0.01, + "learning_rate": 1.994915645944072e-05, + "loss": 2.2063, + "step": 110 + }, + { + "epoch": 0.01, + "learning_rate": 1.9944534319389878e-05, + "loss": 2.1082, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 1.9939912179339035e-05, + "loss": 2.1605, + "step": 130 + }, + { + "epoch": 0.02, + "learning_rate": 1.993529003928819e-05, + "loss": 2.0891, + "step": 140 + }, + { + "epoch": 0.02, + "learning_rate": 1.9930667899237348e-05, + "loss": 2.1729, + "step": 150 + }, + { + "epoch": 0.02, + "learning_rate": 1.9926045759186505e-05, + "loss": 2.1034, + "step": 160 + }, + { + "epoch": 0.02, + "learning_rate": 1.992142361913566e-05, + "loss": 2.1315, + "step": 170 + }, + { + "epoch": 0.02, + "learning_rate": 1.9916801479084818e-05, + "loss": 2.0766, + "step": 180 + }, + { + "epoch": 0.02, + "learning_rate": 1.9912179339033975e-05, + "loss": 1.993, + "step": 190 + }, + { + "epoch": 0.02, + "learning_rate": 1.990755719898313e-05, + "loss": 1.8563, + "step": 200 + }, + { + "epoch": 0.02, + "learning_rate": 1.9902935058932288e-05, + "loss": 1.8833, + "step": 210 + }, + { + "epoch": 0.03, + "learning_rate": 1.9898312918881445e-05, + "loss": 2.0582, + "step": 220 + }, + { + "epoch": 0.03, + "learning_rate": 1.98936907788306e-05, + "loss": 1.9494, + "step": 230 + }, + { + "epoch": 0.03, + "learning_rate": 1.9889068638779755e-05, + "loss": 1.9579, + "step": 240 + }, + { + "epoch": 0.03, + "learning_rate": 1.9884446498728915e-05, + "loss": 1.8937, + "step": 250 + }, + { + "epoch": 0.03, + "learning_rate": 1.987982435867807e-05, + "loss": 1.8906, + "step": 260 + }, + { + "epoch": 0.03, + "learning_rate": 1.9875202218627225e-05, + "loss": 1.9543, + "step": 270 + }, + { + "epoch": 0.03, + "learning_rate": 1.987058007857638e-05, + "loss": 1.745, + "step": 280 + }, + { + "epoch": 0.03, + "learning_rate": 1.986595793852554e-05, + "loss": 1.7936, + "step": 290 + }, + { + "epoch": 0.03, + "learning_rate": 1.9861335798474695e-05, + "loss": 1.7922, + "step": 300 + }, + { + "epoch": 0.04, + "learning_rate": 1.985671365842385e-05, + "loss": 1.8234, + "step": 310 + }, + { + "epoch": 0.04, + "learning_rate": 1.9852091518373008e-05, + "loss": 1.8136, + "step": 320 + }, + { + "epoch": 0.04, + "learning_rate": 1.9847469378322165e-05, + "loss": 1.7941, + "step": 330 + }, + { + "epoch": 0.04, + "learning_rate": 1.984284723827132e-05, + "loss": 1.8309, + "step": 340 + }, + { + "epoch": 0.04, + "learning_rate": 1.9838225098220478e-05, + "loss": 1.7168, + "step": 350 + }, + { + "epoch": 0.04, + "learning_rate": 1.9833602958169635e-05, + "loss": 1.7522, + "step": 360 + }, + { + "epoch": 0.04, + "learning_rate": 1.982898081811879e-05, + "loss": 1.803, + "step": 370 + }, + { + "epoch": 0.04, + "learning_rate": 1.9824358678067948e-05, + "loss": 1.7825, + "step": 380 + }, + { + "epoch": 0.05, + "learning_rate": 1.98197365380171e-05, + "loss": 1.7336, + "step": 390 + }, + { + "epoch": 0.05, + "learning_rate": 1.981511439796626e-05, + "loss": 1.8995, + "step": 400 + }, + { + "epoch": 0.05, + "learning_rate": 1.9810492257915418e-05, + "loss": 1.759, + "step": 410 + }, + { + "epoch": 0.05, + "learning_rate": 1.980587011786457e-05, + "loss": 1.7984, + "step": 420 + }, + { + "epoch": 0.05, + "learning_rate": 1.9801247977813728e-05, + "loss": 1.7064, + "step": 430 + }, + { + "epoch": 0.05, + "learning_rate": 1.9796625837762888e-05, + "loss": 1.71, + "step": 440 + }, + { + "epoch": 0.05, + "learning_rate": 1.9792003697712044e-05, + "loss": 1.7663, + "step": 450 + }, + { + "epoch": 0.05, + "learning_rate": 1.9787381557661198e-05, + "loss": 1.7312, + "step": 460 + }, + { + "epoch": 0.05, + "learning_rate": 1.9782759417610354e-05, + "loss": 1.6678, + "step": 470 + }, + { + "epoch": 0.06, + "learning_rate": 1.977813727755951e-05, + "loss": 1.6362, + "step": 480 + }, + { + "epoch": 0.06, + "learning_rate": 1.9773515137508668e-05, + "loss": 1.6622, + "step": 490 + }, + { + "epoch": 0.06, + "learning_rate": 1.9768892997457824e-05, + "loss": 1.5505, + "step": 500 + }, + { + "epoch": 0.06, + "learning_rate": 1.976427085740698e-05, + "loss": 1.5995, + "step": 510 + }, + { + "epoch": 0.06, + "learning_rate": 1.9759648717356138e-05, + "loss": 1.437, + "step": 520 + }, + { + "epoch": 0.06, + "learning_rate": 1.9755026577305294e-05, + "loss": 1.7087, + "step": 530 + }, + { + "epoch": 0.06, + "learning_rate": 1.975040443725445e-05, + "loss": 1.6499, + "step": 540 + }, + { + "epoch": 0.06, + "learning_rate": 1.9745782297203608e-05, + "loss": 1.6227, + "step": 550 + }, + { + "epoch": 0.06, + "learning_rate": 1.9741160157152764e-05, + "loss": 1.5741, + "step": 560 + }, + { + "epoch": 0.07, + "learning_rate": 1.973653801710192e-05, + "loss": 1.5967, + "step": 570 + }, + { + "epoch": 0.07, + "learning_rate": 1.9731915877051074e-05, + "loss": 1.5143, + "step": 580 + }, + { + "epoch": 0.07, + "learning_rate": 1.9727293737000234e-05, + "loss": 1.5463, + "step": 590 + }, + { + "epoch": 0.07, + "learning_rate": 1.972267159694939e-05, + "loss": 1.6656, + "step": 600 + }, + { + "epoch": 0.07, + "learning_rate": 1.9718049456898544e-05, + "loss": 1.4812, + "step": 610 + }, + { + "epoch": 0.07, + "learning_rate": 1.97134273168477e-05, + "loss": 1.5896, + "step": 620 + }, + { + "epoch": 0.07, + "learning_rate": 1.9708805176796857e-05, + "loss": 1.5029, + "step": 630 + }, + { + "epoch": 0.07, + "learning_rate": 1.9704183036746014e-05, + "loss": 1.5234, + "step": 640 + }, + { + "epoch": 0.08, + "learning_rate": 1.969956089669517e-05, + "loss": 1.6496, + "step": 650 + }, + { + "epoch": 0.08, + "learning_rate": 1.9694938756644327e-05, + "loss": 1.5465, + "step": 660 + }, + { + "epoch": 0.08, + "learning_rate": 1.9690316616593484e-05, + "loss": 1.4895, + "step": 670 + }, + { + "epoch": 0.08, + "learning_rate": 1.968569447654264e-05, + "loss": 1.6183, + "step": 680 + }, + { + "epoch": 0.08, + "learning_rate": 1.9681072336491797e-05, + "loss": 1.5208, + "step": 690 + }, + { + "epoch": 0.08, + "learning_rate": 1.9676450196440954e-05, + "loss": 1.307, + "step": 700 + }, + { + "epoch": 0.08, + "learning_rate": 1.967182805639011e-05, + "loss": 1.4443, + "step": 710 + }, + { + "epoch": 0.08, + "learning_rate": 1.9667205916339267e-05, + "loss": 1.4331, + "step": 720 + }, + { + "epoch": 0.08, + "learning_rate": 1.9662583776288424e-05, + "loss": 1.3673, + "step": 730 + }, + { + "epoch": 0.09, + "learning_rate": 1.965796163623758e-05, + "loss": 1.4723, + "step": 740 + }, + { + "epoch": 0.09, + "learning_rate": 1.9653339496186737e-05, + "loss": 1.2713, + "step": 750 + }, + { + "epoch": 0.09, + "learning_rate": 1.9648717356135894e-05, + "loss": 1.5305, + "step": 760 + }, + { + "epoch": 0.09, + "learning_rate": 1.9644095216085047e-05, + "loss": 1.5498, + "step": 770 + }, + { + "epoch": 0.09, + "learning_rate": 1.9639473076034204e-05, + "loss": 1.5565, + "step": 780 + }, + { + "epoch": 0.09, + "learning_rate": 1.9634850935983364e-05, + "loss": 1.3136, + "step": 790 + }, + { + "epoch": 0.09, + "learning_rate": 1.9630228795932517e-05, + "loss": 1.3937, + "step": 800 + }, + { + "epoch": 0.09, + "learning_rate": 1.9625606655881674e-05, + "loss": 1.506, + "step": 810 + }, + { + "epoch": 0.09, + "learning_rate": 1.962098451583083e-05, + "loss": 1.4627, + "step": 820 + }, + { + "epoch": 0.1, + "learning_rate": 1.9616362375779987e-05, + "loss": 1.4754, + "step": 830 + }, + { + "epoch": 0.1, + "learning_rate": 1.9611740235729144e-05, + "loss": 1.3804, + "step": 840 + }, + { + "epoch": 0.1, + "learning_rate": 1.96071180956783e-05, + "loss": 1.4877, + "step": 850 + }, + { + "epoch": 0.1, + "learning_rate": 1.9602495955627457e-05, + "loss": 1.4336, + "step": 860 + }, + { + "epoch": 0.1, + "learning_rate": 1.9597873815576614e-05, + "loss": 1.4304, + "step": 870 + }, + { + "epoch": 0.1, + "learning_rate": 1.959325167552577e-05, + "loss": 1.4311, + "step": 880 + }, + { + "epoch": 0.1, + "learning_rate": 1.9588629535474927e-05, + "loss": 1.422, + "step": 890 + }, + { + "epoch": 0.1, + "learning_rate": 1.9584007395424084e-05, + "loss": 1.4656, + "step": 900 + }, + { + "epoch": 0.11, + "learning_rate": 1.957938525537324e-05, + "loss": 1.3024, + "step": 910 + }, + { + "epoch": 0.11, + "learning_rate": 1.9574763115322394e-05, + "loss": 1.3572, + "step": 920 + }, + { + "epoch": 0.11, + "learning_rate": 1.957014097527155e-05, + "loss": 1.3245, + "step": 930 + }, + { + "epoch": 0.11, + "learning_rate": 1.956551883522071e-05, + "loss": 1.486, + "step": 940 + }, + { + "epoch": 0.11, + "learning_rate": 1.9560896695169864e-05, + "loss": 1.3922, + "step": 950 + }, + { + "epoch": 0.11, + "learning_rate": 1.955627455511902e-05, + "loss": 1.3372, + "step": 960 + }, + { + "epoch": 0.11, + "learning_rate": 1.9551652415068177e-05, + "loss": 1.4009, + "step": 970 + }, + { + "epoch": 0.11, + "learning_rate": 1.9547030275017334e-05, + "loss": 1.3173, + "step": 980 + }, + { + "epoch": 0.11, + "learning_rate": 1.954240813496649e-05, + "loss": 1.3584, + "step": 990 + }, + { + "epoch": 0.12, + "learning_rate": 1.9537785994915647e-05, + "loss": 1.2217, + "step": 1000 + }, + { + "epoch": 0.12, + "learning_rate": 1.9533163854864804e-05, + "loss": 1.6893, + "step": 1010 + }, + { + "epoch": 0.12, + "learning_rate": 1.952854171481396e-05, + "loss": 1.3965, + "step": 1020 + }, + { + "epoch": 0.12, + "learning_rate": 1.9523919574763117e-05, + "loss": 1.2936, + "step": 1030 + }, + { + "epoch": 0.12, + "learning_rate": 1.9519297434712274e-05, + "loss": 1.3456, + "step": 1040 + }, + { + "epoch": 0.12, + "learning_rate": 1.951467529466143e-05, + "loss": 1.5588, + "step": 1050 + }, + { + "epoch": 0.12, + "learning_rate": 1.9510053154610587e-05, + "loss": 1.3207, + "step": 1060 + }, + { + "epoch": 0.12, + "learning_rate": 1.9505431014559744e-05, + "loss": 1.2455, + "step": 1070 + }, + { + "epoch": 0.12, + "learning_rate": 1.95008088745089e-05, + "loss": 1.3793, + "step": 1080 + }, + { + "epoch": 0.13, + "learning_rate": 1.9496186734458057e-05, + "loss": 1.3548, + "step": 1090 + }, + { + "epoch": 0.13, + "learning_rate": 1.9491564594407214e-05, + "loss": 1.501, + "step": 1100 + }, + { + "epoch": 0.13, + "learning_rate": 1.9486942454356367e-05, + "loss": 1.4357, + "step": 1110 + }, + { + "epoch": 0.13, + "learning_rate": 1.9482320314305524e-05, + "loss": 1.2892, + "step": 1120 + }, + { + "epoch": 0.13, + "learning_rate": 1.9477698174254684e-05, + "loss": 1.3757, + "step": 1130 + }, + { + "epoch": 0.13, + "learning_rate": 1.9473076034203837e-05, + "loss": 1.383, + "step": 1140 + }, + { + "epoch": 0.13, + "learning_rate": 1.9468453894152993e-05, + "loss": 1.3751, + "step": 1150 + }, + { + "epoch": 0.13, + "learning_rate": 1.946383175410215e-05, + "loss": 1.4045, + "step": 1160 + }, + { + "epoch": 0.14, + "learning_rate": 1.9459209614051307e-05, + "loss": 1.3845, + "step": 1170 + }, + { + "epoch": 0.14, + "learning_rate": 1.9454587474000463e-05, + "loss": 1.348, + "step": 1180 + }, + { + "epoch": 0.14, + "learning_rate": 1.944996533394962e-05, + "loss": 1.423, + "step": 1190 + }, + { + "epoch": 0.14, + "learning_rate": 1.9445343193898777e-05, + "loss": 1.3571, + "step": 1200 + }, + { + "epoch": 0.14, + "learning_rate": 1.9440721053847933e-05, + "loss": 1.3323, + "step": 1210 + }, + { + "epoch": 0.14, + "learning_rate": 1.943609891379709e-05, + "loss": 1.3282, + "step": 1220 + }, + { + "epoch": 0.14, + "learning_rate": 1.9431476773746247e-05, + "loss": 1.2862, + "step": 1230 + }, + { + "epoch": 0.14, + "learning_rate": 1.9426854633695403e-05, + "loss": 1.5374, + "step": 1240 + }, + { + "epoch": 0.14, + "learning_rate": 1.942223249364456e-05, + "loss": 1.3002, + "step": 1250 + }, + { + "epoch": 0.15, + "learning_rate": 1.9417610353593713e-05, + "loss": 1.2503, + "step": 1260 + }, + { + "epoch": 0.15, + "learning_rate": 1.941298821354287e-05, + "loss": 1.4021, + "step": 1270 + }, + { + "epoch": 0.15, + "learning_rate": 1.940836607349203e-05, + "loss": 1.2019, + "step": 1280 + }, + { + "epoch": 0.15, + "learning_rate": 1.9403743933441187e-05, + "loss": 1.443, + "step": 1290 + }, + { + "epoch": 0.15, + "learning_rate": 1.939912179339034e-05, + "loss": 1.402, + "step": 1300 + }, + { + "epoch": 0.15, + "learning_rate": 1.9394499653339497e-05, + "loss": 1.4088, + "step": 1310 + }, + { + "epoch": 0.15, + "learning_rate": 1.9389877513288657e-05, + "loss": 1.3539, + "step": 1320 + }, + { + "epoch": 0.15, + "learning_rate": 1.938525537323781e-05, + "loss": 1.269, + "step": 1330 + }, + { + "epoch": 0.15, + "learning_rate": 1.9380633233186967e-05, + "loss": 1.3832, + "step": 1340 + }, + { + "epoch": 0.16, + "learning_rate": 1.9376011093136123e-05, + "loss": 1.2932, + "step": 1350 + }, + { + "epoch": 0.16, + "learning_rate": 1.937138895308528e-05, + "loss": 1.2389, + "step": 1360 + }, + { + "epoch": 0.16, + "learning_rate": 1.9366766813034437e-05, + "loss": 1.4409, + "step": 1370 + }, + { + "epoch": 0.16, + "learning_rate": 1.9362144672983593e-05, + "loss": 1.1224, + "step": 1380 + }, + { + "epoch": 0.16, + "learning_rate": 1.935752253293275e-05, + "loss": 1.2164, + "step": 1390 + }, + { + "epoch": 0.16, + "learning_rate": 1.9352900392881907e-05, + "loss": 1.2708, + "step": 1400 + }, + { + "epoch": 0.16, + "learning_rate": 1.9348278252831063e-05, + "loss": 1.1321, + "step": 1410 + }, + { + "epoch": 0.16, + "learning_rate": 1.9343656112780216e-05, + "loss": 1.2621, + "step": 1420 + }, + { + "epoch": 0.17, + "learning_rate": 1.9339033972729377e-05, + "loss": 1.3742, + "step": 1430 + }, + { + "epoch": 0.17, + "learning_rate": 1.9334411832678533e-05, + "loss": 1.2819, + "step": 1440 + }, + { + "epoch": 0.17, + "learning_rate": 1.9329789692627686e-05, + "loss": 1.2043, + "step": 1450 + }, + { + "epoch": 0.17, + "learning_rate": 1.9325167552576843e-05, + "loss": 1.3292, + "step": 1460 + }, + { + "epoch": 0.17, + "learning_rate": 1.9320545412526003e-05, + "loss": 1.3365, + "step": 1470 + }, + { + "epoch": 0.17, + "learning_rate": 1.9315923272475156e-05, + "loss": 1.2925, + "step": 1480 + }, + { + "epoch": 0.17, + "learning_rate": 1.9311301132424313e-05, + "loss": 1.4563, + "step": 1490 + }, + { + "epoch": 0.17, + "learning_rate": 1.930667899237347e-05, + "loss": 1.4431, + "step": 1500 + }, + { + "epoch": 0.17, + "learning_rate": 1.9302056852322626e-05, + "loss": 1.2683, + "step": 1510 + }, + { + "epoch": 0.18, + "learning_rate": 1.9297434712271783e-05, + "loss": 1.2307, + "step": 1520 + }, + { + "epoch": 0.18, + "learning_rate": 1.929281257222094e-05, + "loss": 1.521, + "step": 1530 + }, + { + "epoch": 0.18, + "learning_rate": 1.9288190432170096e-05, + "loss": 1.3066, + "step": 1540 + }, + { + "epoch": 0.18, + "learning_rate": 1.9283568292119253e-05, + "loss": 1.3608, + "step": 1550 + }, + { + "epoch": 0.18, + "learning_rate": 1.927894615206841e-05, + "loss": 1.398, + "step": 1560 + }, + { + "epoch": 0.18, + "learning_rate": 1.9274324012017566e-05, + "loss": 1.2869, + "step": 1570 + }, + { + "epoch": 0.18, + "learning_rate": 1.9269701871966723e-05, + "loss": 1.3803, + "step": 1580 + }, + { + "epoch": 0.18, + "learning_rate": 1.926507973191588e-05, + "loss": 1.4582, + "step": 1590 + }, + { + "epoch": 0.18, + "learning_rate": 1.9260457591865036e-05, + "loss": 1.4873, + "step": 1600 + }, + { + "epoch": 0.19, + "learning_rate": 1.925583545181419e-05, + "loss": 1.193, + "step": 1610 + }, + { + "epoch": 0.19, + "learning_rate": 1.925121331176335e-05, + "loss": 1.2259, + "step": 1620 + }, + { + "epoch": 0.19, + "learning_rate": 1.9246591171712506e-05, + "loss": 1.325, + "step": 1630 + }, + { + "epoch": 0.19, + "learning_rate": 1.924196903166166e-05, + "loss": 1.1706, + "step": 1640 + }, + { + "epoch": 0.19, + "learning_rate": 1.9237346891610816e-05, + "loss": 1.2486, + "step": 1650 + }, + { + "epoch": 0.19, + "learning_rate": 1.9232724751559976e-05, + "loss": 1.3872, + "step": 1660 + }, + { + "epoch": 0.19, + "learning_rate": 1.922810261150913e-05, + "loss": 1.3436, + "step": 1670 + }, + { + "epoch": 0.19, + "learning_rate": 1.9223480471458286e-05, + "loss": 1.2404, + "step": 1680 + }, + { + "epoch": 0.2, + "learning_rate": 1.9218858331407443e-05, + "loss": 1.2883, + "step": 1690 + }, + { + "epoch": 0.2, + "learning_rate": 1.92142361913566e-05, + "loss": 1.2494, + "step": 1700 + }, + { + "epoch": 0.2, + "learning_rate": 1.9209614051305756e-05, + "loss": 1.267, + "step": 1710 + }, + { + "epoch": 0.2, + "learning_rate": 1.9204991911254913e-05, + "loss": 1.016, + "step": 1720 + }, + { + "epoch": 0.2, + "learning_rate": 1.920036977120407e-05, + "loss": 1.3929, + "step": 1730 + }, + { + "epoch": 0.2, + "learning_rate": 1.9195747631153226e-05, + "loss": 1.1148, + "step": 1740 + }, + { + "epoch": 0.2, + "learning_rate": 1.9191125491102383e-05, + "loss": 1.3616, + "step": 1750 + }, + { + "epoch": 0.2, + "learning_rate": 1.9186503351051536e-05, + "loss": 1.3019, + "step": 1760 + }, + { + "epoch": 0.2, + "learning_rate": 1.9181881211000696e-05, + "loss": 1.2434, + "step": 1770 + }, + { + "epoch": 0.21, + "learning_rate": 1.9177259070949853e-05, + "loss": 1.1432, + "step": 1780 + }, + { + "epoch": 0.21, + "learning_rate": 1.9172636930899006e-05, + "loss": 1.3384, + "step": 1790 + }, + { + "epoch": 0.21, + "learning_rate": 1.9168014790848163e-05, + "loss": 1.1971, + "step": 1800 + }, + { + "epoch": 0.21, + "learning_rate": 1.9163392650797323e-05, + "loss": 1.1846, + "step": 1810 + }, + { + "epoch": 0.21, + "learning_rate": 1.9158770510746476e-05, + "loss": 1.2765, + "step": 1820 + }, + { + "epoch": 0.21, + "learning_rate": 1.9154148370695633e-05, + "loss": 1.102, + "step": 1830 + }, + { + "epoch": 0.21, + "learning_rate": 1.914952623064479e-05, + "loss": 1.4218, + "step": 1840 + }, + { + "epoch": 0.21, + "learning_rate": 1.9144904090593946e-05, + "loss": 1.1716, + "step": 1850 + }, + { + "epoch": 0.21, + "learning_rate": 1.9140281950543103e-05, + "loss": 1.1829, + "step": 1860 + }, + { + "epoch": 0.22, + "learning_rate": 1.913565981049226e-05, + "loss": 1.3906, + "step": 1870 + }, + { + "epoch": 0.22, + "learning_rate": 1.9131037670441416e-05, + "loss": 1.1364, + "step": 1880 + }, + { + "epoch": 0.22, + "learning_rate": 1.9126415530390573e-05, + "loss": 1.2781, + "step": 1890 + }, + { + "epoch": 0.22, + "learning_rate": 1.912179339033973e-05, + "loss": 1.3724, + "step": 1900 + }, + { + "epoch": 0.22, + "learning_rate": 1.9117171250288886e-05, + "loss": 1.2422, + "step": 1910 + }, + { + "epoch": 0.22, + "learning_rate": 1.9112549110238043e-05, + "loss": 1.3088, + "step": 1920 + }, + { + "epoch": 0.22, + "learning_rate": 1.91079269701872e-05, + "loss": 1.2479, + "step": 1930 + }, + { + "epoch": 0.22, + "learning_rate": 1.9103304830136356e-05, + "loss": 1.2599, + "step": 1940 + }, + { + "epoch": 0.23, + "learning_rate": 1.909868269008551e-05, + "loss": 1.2685, + "step": 1950 + }, + { + "epoch": 0.23, + "learning_rate": 1.909406055003467e-05, + "loss": 1.3681, + "step": 1960 + }, + { + "epoch": 0.23, + "learning_rate": 1.9089438409983826e-05, + "loss": 1.1765, + "step": 1970 + }, + { + "epoch": 0.23, + "learning_rate": 1.908481626993298e-05, + "loss": 1.3525, + "step": 1980 + }, + { + "epoch": 0.23, + "learning_rate": 1.9080194129882136e-05, + "loss": 1.2632, + "step": 1990 + }, + { + "epoch": 0.23, + "learning_rate": 1.9075571989831292e-05, + "loss": 1.2889, + "step": 2000 + }, + { + "epoch": 0.23, + "learning_rate": 1.907094984978045e-05, + "loss": 1.2279, + "step": 2010 + }, + { + "epoch": 0.23, + "learning_rate": 1.9066327709729606e-05, + "loss": 1.372, + "step": 2020 + }, + { + "epoch": 0.23, + "learning_rate": 1.9061705569678762e-05, + "loss": 1.3015, + "step": 2030 + }, + { + "epoch": 0.24, + "learning_rate": 1.905708342962792e-05, + "loss": 1.275, + "step": 2040 + }, + { + "epoch": 0.24, + "learning_rate": 1.9052461289577076e-05, + "loss": 1.3691, + "step": 2050 + }, + { + "epoch": 0.24, + "learning_rate": 1.9047839149526232e-05, + "loss": 1.4017, + "step": 2060 + }, + { + "epoch": 0.24, + "learning_rate": 1.904321700947539e-05, + "loss": 1.2366, + "step": 2070 + }, + { + "epoch": 0.24, + "learning_rate": 1.9038594869424546e-05, + "loss": 1.172, + "step": 2080 + }, + { + "epoch": 0.24, + "learning_rate": 1.9033972729373702e-05, + "loss": 1.0791, + "step": 2090 + }, + { + "epoch": 0.24, + "learning_rate": 1.9029350589322856e-05, + "loss": 1.1896, + "step": 2100 + }, + { + "epoch": 0.24, + "learning_rate": 1.9024728449272016e-05, + "loss": 1.1924, + "step": 2110 + }, + { + "epoch": 0.24, + "learning_rate": 1.9020106309221172e-05, + "loss": 1.156, + "step": 2120 + }, + { + "epoch": 0.25, + "learning_rate": 1.901548416917033e-05, + "loss": 1.3714, + "step": 2130 + }, + { + "epoch": 0.25, + "learning_rate": 1.9010862029119482e-05, + "loss": 1.2248, + "step": 2140 + }, + { + "epoch": 0.25, + "learning_rate": 1.9006239889068642e-05, + "loss": 1.0685, + "step": 2150 + }, + { + "epoch": 0.25, + "learning_rate": 1.90016177490178e-05, + "loss": 1.1972, + "step": 2160 + }, + { + "epoch": 0.25, + "learning_rate": 1.8996995608966952e-05, + "loss": 1.3127, + "step": 2170 + }, + { + "epoch": 0.25, + "learning_rate": 1.899237346891611e-05, + "loss": 1.1867, + "step": 2180 + }, + { + "epoch": 0.25, + "learning_rate": 1.8987751328865266e-05, + "loss": 1.2504, + "step": 2190 + }, + { + "epoch": 0.25, + "learning_rate": 1.8983129188814422e-05, + "loss": 1.5356, + "step": 2200 + }, + { + "epoch": 0.26, + "learning_rate": 1.897850704876358e-05, + "loss": 1.2071, + "step": 2210 + }, + { + "epoch": 0.26, + "learning_rate": 1.8973884908712735e-05, + "loss": 1.2274, + "step": 2220 + }, + { + "epoch": 0.26, + "learning_rate": 1.8969262768661892e-05, + "loss": 1.1609, + "step": 2230 + }, + { + "epoch": 0.26, + "learning_rate": 1.896464062861105e-05, + "loss": 1.1606, + "step": 2240 + }, + { + "epoch": 0.26, + "learning_rate": 1.8960018488560205e-05, + "loss": 1.1231, + "step": 2250 + }, + { + "epoch": 0.26, + "learning_rate": 1.8955396348509362e-05, + "loss": 1.1841, + "step": 2260 + }, + { + "epoch": 0.26, + "learning_rate": 1.895077420845852e-05, + "loss": 0.9819, + "step": 2270 + }, + { + "epoch": 0.26, + "learning_rate": 1.8946152068407675e-05, + "loss": 1.0814, + "step": 2280 + }, + { + "epoch": 0.26, + "learning_rate": 1.894152992835683e-05, + "loss": 1.1365, + "step": 2290 + }, + { + "epoch": 0.27, + "learning_rate": 1.893690778830599e-05, + "loss": 1.5023, + "step": 2300 + }, + { + "epoch": 0.27, + "learning_rate": 1.8932285648255145e-05, + "loss": 1.1865, + "step": 2310 + }, + { + "epoch": 0.27, + "learning_rate": 1.89276635082043e-05, + "loss": 1.2644, + "step": 2320 + }, + { + "epoch": 0.27, + "learning_rate": 1.8923041368153455e-05, + "loss": 1.3072, + "step": 2330 + }, + { + "epoch": 0.27, + "learning_rate": 1.8918419228102612e-05, + "loss": 1.1206, + "step": 2340 + }, + { + "epoch": 0.27, + "learning_rate": 1.891379708805177e-05, + "loss": 1.2632, + "step": 2350 + }, + { + "epoch": 0.27, + "learning_rate": 1.8909174948000925e-05, + "loss": 1.292, + "step": 2360 + }, + { + "epoch": 0.27, + "learning_rate": 1.8904552807950082e-05, + "loss": 1.1591, + "step": 2370 + }, + { + "epoch": 0.28, + "learning_rate": 1.889993066789924e-05, + "loss": 1.0314, + "step": 2380 + }, + { + "epoch": 0.28, + "learning_rate": 1.8895308527848395e-05, + "loss": 1.1041, + "step": 2390 + }, + { + "epoch": 0.28, + "learning_rate": 1.8890686387797552e-05, + "loss": 1.206, + "step": 2400 + }, + { + "epoch": 0.28, + "learning_rate": 1.888606424774671e-05, + "loss": 1.1292, + "step": 2410 + }, + { + "epoch": 0.28, + "learning_rate": 1.8881442107695865e-05, + "loss": 1.382, + "step": 2420 + }, + { + "epoch": 0.28, + "learning_rate": 1.8876819967645022e-05, + "loss": 1.2121, + "step": 2430 + }, + { + "epoch": 0.28, + "learning_rate": 1.887219782759418e-05, + "loss": 1.2414, + "step": 2440 + }, + { + "epoch": 0.28, + "learning_rate": 1.8867575687543335e-05, + "loss": 1.084, + "step": 2450 + }, + { + "epoch": 0.28, + "learning_rate": 1.8862953547492492e-05, + "loss": 1.1946, + "step": 2460 + }, + { + "epoch": 0.29, + "learning_rate": 1.885833140744165e-05, + "loss": 1.1969, + "step": 2470 + }, + { + "epoch": 0.29, + "learning_rate": 1.8853709267390802e-05, + "loss": 1.0586, + "step": 2480 + }, + { + "epoch": 0.29, + "learning_rate": 1.884908712733996e-05, + "loss": 1.0634, + "step": 2490 + }, + { + "epoch": 0.29, + "learning_rate": 1.884446498728912e-05, + "loss": 1.1831, + "step": 2500 + }, + { + "epoch": 0.29, + "learning_rate": 1.8839842847238272e-05, + "loss": 1.1763, + "step": 2510 + }, + { + "epoch": 0.29, + "learning_rate": 1.883522070718743e-05, + "loss": 1.3915, + "step": 2520 + }, + { + "epoch": 0.29, + "learning_rate": 1.8830598567136585e-05, + "loss": 1.3104, + "step": 2530 + }, + { + "epoch": 0.29, + "learning_rate": 1.8825976427085742e-05, + "loss": 0.988, + "step": 2540 + }, + { + "epoch": 0.29, + "learning_rate": 1.88213542870349e-05, + "loss": 1.0718, + "step": 2550 + }, + { + "epoch": 0.3, + "learning_rate": 1.8816732146984055e-05, + "loss": 1.1107, + "step": 2560 + }, + { + "epoch": 0.3, + "learning_rate": 1.8812110006933212e-05, + "loss": 1.2246, + "step": 2570 + }, + { + "epoch": 0.3, + "learning_rate": 1.880748786688237e-05, + "loss": 1.095, + "step": 2580 + }, + { + "epoch": 0.3, + "learning_rate": 1.8802865726831525e-05, + "loss": 1.0693, + "step": 2590 + }, + { + "epoch": 0.3, + "learning_rate": 1.879824358678068e-05, + "loss": 1.3382, + "step": 2600 + }, + { + "epoch": 0.3, + "learning_rate": 1.879362144672984e-05, + "loss": 1.1433, + "step": 2610 + }, + { + "epoch": 0.3, + "learning_rate": 1.8788999306678995e-05, + "loss": 1.0758, + "step": 2620 + }, + { + "epoch": 0.3, + "learning_rate": 1.8784377166628148e-05, + "loss": 1.1923, + "step": 2630 + }, + { + "epoch": 0.31, + "learning_rate": 1.8779755026577305e-05, + "loss": 1.0192, + "step": 2640 + }, + { + "epoch": 0.31, + "learning_rate": 1.8775132886526465e-05, + "loss": 1.0242, + "step": 2650 + }, + { + "epoch": 0.31, + "learning_rate": 1.8770510746475618e-05, + "loss": 0.9666, + "step": 2660 + }, + { + "epoch": 0.31, + "learning_rate": 1.8765888606424775e-05, + "loss": 1.3071, + "step": 2670 + }, + { + "epoch": 0.31, + "learning_rate": 1.876126646637393e-05, + "loss": 1.0935, + "step": 2680 + }, + { + "epoch": 0.31, + "learning_rate": 1.875664432632309e-05, + "loss": 1.1457, + "step": 2690 + }, + { + "epoch": 0.31, + "learning_rate": 1.8752022186272245e-05, + "loss": 1.2322, + "step": 2700 + }, + { + "epoch": 0.31, + "learning_rate": 1.87474000462214e-05, + "loss": 1.1762, + "step": 2710 + }, + { + "epoch": 0.31, + "learning_rate": 1.8742777906170558e-05, + "loss": 1.2718, + "step": 2720 + }, + { + "epoch": 0.32, + "learning_rate": 1.8738155766119715e-05, + "loss": 1.2882, + "step": 2730 + }, + { + "epoch": 0.32, + "learning_rate": 1.873353362606887e-05, + "loss": 1.3582, + "step": 2740 + }, + { + "epoch": 0.32, + "learning_rate": 1.8728911486018028e-05, + "loss": 1.0482, + "step": 2750 + }, + { + "epoch": 0.32, + "learning_rate": 1.8724289345967185e-05, + "loss": 0.9126, + "step": 2760 + }, + { + "epoch": 0.32, + "learning_rate": 1.871966720591634e-05, + "loss": 1.1649, + "step": 2770 + }, + { + "epoch": 0.32, + "learning_rate": 1.8715045065865498e-05, + "loss": 1.1562, + "step": 2780 + }, + { + "epoch": 0.32, + "learning_rate": 1.871042292581465e-05, + "loss": 1.1534, + "step": 2790 + }, + { + "epoch": 0.32, + "learning_rate": 1.870580078576381e-05, + "loss": 1.1332, + "step": 2800 + }, + { + "epoch": 0.32, + "learning_rate": 1.8701178645712968e-05, + "loss": 1.0996, + "step": 2810 + }, + { + "epoch": 0.33, + "learning_rate": 1.869655650566212e-05, + "loss": 1.2614, + "step": 2820 + }, + { + "epoch": 0.33, + "learning_rate": 1.8691934365611278e-05, + "loss": 1.2897, + "step": 2830 + }, + { + "epoch": 0.33, + "learning_rate": 1.8687312225560438e-05, + "loss": 1.3399, + "step": 2840 + }, + { + "epoch": 0.33, + "learning_rate": 1.868269008550959e-05, + "loss": 1.2899, + "step": 2850 + }, + { + "epoch": 0.33, + "learning_rate": 1.8678067945458748e-05, + "loss": 1.213, + "step": 2860 + }, + { + "epoch": 0.33, + "learning_rate": 1.8673445805407905e-05, + "loss": 1.1954, + "step": 2870 + }, + { + "epoch": 0.33, + "learning_rate": 1.866882366535706e-05, + "loss": 1.1798, + "step": 2880 + }, + { + "epoch": 0.33, + "learning_rate": 1.8664201525306218e-05, + "loss": 1.026, + "step": 2890 + }, + { + "epoch": 0.34, + "learning_rate": 1.8659579385255375e-05, + "loss": 1.3567, + "step": 2900 + }, + { + "epoch": 0.34, + "learning_rate": 1.865495724520453e-05, + "loss": 1.0325, + "step": 2910 + }, + { + "epoch": 0.34, + "learning_rate": 1.8650335105153688e-05, + "loss": 1.2255, + "step": 2920 + }, + { + "epoch": 0.34, + "learning_rate": 1.8645712965102845e-05, + "loss": 1.2002, + "step": 2930 + }, + { + "epoch": 0.34, + "learning_rate": 1.8641090825051998e-05, + "loss": 1.1264, + "step": 2940 + }, + { + "epoch": 0.34, + "learning_rate": 1.8636468685001158e-05, + "loss": 1.4016, + "step": 2950 + }, + { + "epoch": 0.34, + "learning_rate": 1.8631846544950315e-05, + "loss": 1.1077, + "step": 2960 + }, + { + "epoch": 0.34, + "learning_rate": 1.862722440489947e-05, + "loss": 1.5143, + "step": 2970 + }, + { + "epoch": 0.34, + "learning_rate": 1.8622602264848624e-05, + "loss": 1.0623, + "step": 2980 + }, + { + "epoch": 0.35, + "learning_rate": 1.8617980124797785e-05, + "loss": 1.0831, + "step": 2990 + }, + { + "epoch": 0.35, + "learning_rate": 1.861335798474694e-05, + "loss": 1.2574, + "step": 3000 + }, + { + "epoch": 0.35, + "learning_rate": 1.8608735844696094e-05, + "loss": 1.1072, + "step": 3010 + }, + { + "epoch": 0.35, + "learning_rate": 1.860411370464525e-05, + "loss": 1.0831, + "step": 3020 + }, + { + "epoch": 0.35, + "learning_rate": 1.859949156459441e-05, + "loss": 1.3604, + "step": 3030 + }, + { + "epoch": 0.35, + "learning_rate": 1.8594869424543564e-05, + "loss": 1.2112, + "step": 3040 + }, + { + "epoch": 0.35, + "learning_rate": 1.859024728449272e-05, + "loss": 1.1375, + "step": 3050 + }, + { + "epoch": 0.35, + "learning_rate": 1.8585625144441878e-05, + "loss": 1.1787, + "step": 3060 + }, + { + "epoch": 0.35, + "learning_rate": 1.8581003004391034e-05, + "loss": 1.1487, + "step": 3070 + }, + { + "epoch": 0.36, + "learning_rate": 1.857638086434019e-05, + "loss": 1.1526, + "step": 3080 + }, + { + "epoch": 0.36, + "learning_rate": 1.8571758724289348e-05, + "loss": 1.1473, + "step": 3090 + }, + { + "epoch": 0.36, + "learning_rate": 1.8567136584238504e-05, + "loss": 1.0194, + "step": 3100 + }, + { + "epoch": 0.36, + "learning_rate": 1.856251444418766e-05, + "loss": 0.9566, + "step": 3110 + }, + { + "epoch": 0.36, + "learning_rate": 1.8557892304136818e-05, + "loss": 1.3389, + "step": 3120 + }, + { + "epoch": 0.36, + "learning_rate": 1.855327016408597e-05, + "loss": 1.2753, + "step": 3130 + }, + { + "epoch": 0.36, + "learning_rate": 1.854864802403513e-05, + "loss": 1.1823, + "step": 3140 + }, + { + "epoch": 0.36, + "learning_rate": 1.8544025883984288e-05, + "loss": 1.2134, + "step": 3150 + }, + { + "epoch": 0.37, + "learning_rate": 1.853940374393344e-05, + "loss": 1.0395, + "step": 3160 + }, + { + "epoch": 0.37, + "learning_rate": 1.8534781603882598e-05, + "loss": 0.9284, + "step": 3170 + }, + { + "epoch": 0.37, + "learning_rate": 1.8530159463831758e-05, + "loss": 1.0263, + "step": 3180 + }, + { + "epoch": 0.37, + "learning_rate": 1.852553732378091e-05, + "loss": 1.0749, + "step": 3190 + }, + { + "epoch": 0.37, + "learning_rate": 1.8520915183730068e-05, + "loss": 1.0414, + "step": 3200 + }, + { + "epoch": 0.37, + "learning_rate": 1.8516293043679224e-05, + "loss": 1.2108, + "step": 3210 + }, + { + "epoch": 0.37, + "learning_rate": 1.851167090362838e-05, + "loss": 1.264, + "step": 3220 + }, + { + "epoch": 0.37, + "learning_rate": 1.8507048763577538e-05, + "loss": 1.1303, + "step": 3230 + }, + { + "epoch": 0.37, + "learning_rate": 1.8502426623526694e-05, + "loss": 1.2682, + "step": 3240 + }, + { + "epoch": 0.38, + "learning_rate": 1.849780448347585e-05, + "loss": 1.0847, + "step": 3250 + }, + { + "epoch": 0.38, + "learning_rate": 1.8493182343425007e-05, + "loss": 1.028, + "step": 3260 + }, + { + "epoch": 0.38, + "learning_rate": 1.8488560203374164e-05, + "loss": 1.0998, + "step": 3270 + }, + { + "epoch": 0.38, + "learning_rate": 1.848393806332332e-05, + "loss": 1.2558, + "step": 3280 + }, + { + "epoch": 0.38, + "learning_rate": 1.8479315923272477e-05, + "loss": 1.191, + "step": 3290 + }, + { + "epoch": 0.38, + "learning_rate": 1.8474693783221634e-05, + "loss": 1.0555, + "step": 3300 + }, + { + "epoch": 0.38, + "learning_rate": 1.847007164317079e-05, + "loss": 1.2603, + "step": 3310 + }, + { + "epoch": 0.38, + "learning_rate": 1.8465449503119944e-05, + "loss": 0.9417, + "step": 3320 + }, + { + "epoch": 0.38, + "learning_rate": 1.8460827363069104e-05, + "loss": 1.1519, + "step": 3330 + }, + { + "epoch": 0.39, + "learning_rate": 1.845620522301826e-05, + "loss": 1.3679, + "step": 3340 + }, + { + "epoch": 0.39, + "learning_rate": 1.8451583082967414e-05, + "loss": 1.3549, + "step": 3350 + }, + { + "epoch": 0.39, + "learning_rate": 1.844696094291657e-05, + "loss": 1.0626, + "step": 3360 + }, + { + "epoch": 0.39, + "learning_rate": 1.844233880286573e-05, + "loss": 1.0574, + "step": 3370 + }, + { + "epoch": 0.39, + "learning_rate": 1.8437716662814884e-05, + "loss": 1.0951, + "step": 3380 + }, + { + "epoch": 0.39, + "learning_rate": 1.843309452276404e-05, + "loss": 1.2002, + "step": 3390 + }, + { + "epoch": 0.39, + "learning_rate": 1.8428472382713197e-05, + "loss": 1.2621, + "step": 3400 + }, + { + "epoch": 0.39, + "learning_rate": 1.8423850242662354e-05, + "loss": 1.1487, + "step": 3410 + }, + { + "epoch": 0.4, + "learning_rate": 1.841922810261151e-05, + "loss": 1.2417, + "step": 3420 + }, + { + "epoch": 0.4, + "learning_rate": 1.8414605962560667e-05, + "loss": 1.1242, + "step": 3430 + }, + { + "epoch": 0.4, + "learning_rate": 1.8409983822509824e-05, + "loss": 1.1101, + "step": 3440 + }, + { + "epoch": 0.4, + "learning_rate": 1.840536168245898e-05, + "loss": 1.0401, + "step": 3450 + }, + { + "epoch": 0.4, + "learning_rate": 1.8400739542408137e-05, + "loss": 1.1815, + "step": 3460 + }, + { + "epoch": 0.4, + "learning_rate": 1.839611740235729e-05, + "loss": 1.2077, + "step": 3470 + }, + { + "epoch": 0.4, + "learning_rate": 1.839149526230645e-05, + "loss": 1.0657, + "step": 3480 + }, + { + "epoch": 0.4, + "learning_rate": 1.8386873122255607e-05, + "loss": 1.3498, + "step": 3490 + }, + { + "epoch": 0.4, + "learning_rate": 1.838225098220476e-05, + "loss": 1.1172, + "step": 3500 + }, + { + "epoch": 0.41, + "learning_rate": 1.8377628842153917e-05, + "loss": 1.1106, + "step": 3510 + }, + { + "epoch": 0.41, + "learning_rate": 1.8373006702103077e-05, + "loss": 0.9747, + "step": 3520 + }, + { + "epoch": 0.41, + "learning_rate": 1.8368384562052234e-05, + "loss": 1.2039, + "step": 3530 + }, + { + "epoch": 0.41, + "learning_rate": 1.8363762422001387e-05, + "loss": 1.27, + "step": 3540 + }, + { + "epoch": 0.41, + "learning_rate": 1.8359140281950544e-05, + "loss": 1.3706, + "step": 3550 + }, + { + "epoch": 0.41, + "learning_rate": 1.83545181418997e-05, + "loss": 1.1361, + "step": 3560 + }, + { + "epoch": 0.41, + "learning_rate": 1.8349896001848857e-05, + "loss": 1.2561, + "step": 3570 + }, + { + "epoch": 0.41, + "learning_rate": 1.8345273861798014e-05, + "loss": 1.4084, + "step": 3580 + }, + { + "epoch": 0.41, + "learning_rate": 1.834065172174717e-05, + "loss": 1.3029, + "step": 3590 + }, + { + "epoch": 0.42, + "learning_rate": 1.8336029581696327e-05, + "loss": 1.1308, + "step": 3600 + }, + { + "epoch": 0.42, + "learning_rate": 1.8331407441645484e-05, + "loss": 0.9609, + "step": 3610 + }, + { + "epoch": 0.42, + "learning_rate": 1.832678530159464e-05, + "loss": 1.1129, + "step": 3620 + }, + { + "epoch": 0.42, + "learning_rate": 1.8322163161543797e-05, + "loss": 1.0129, + "step": 3630 + }, + { + "epoch": 0.42, + "learning_rate": 1.8317541021492954e-05, + "loss": 0.9557, + "step": 3640 + }, + { + "epoch": 0.42, + "learning_rate": 1.831291888144211e-05, + "loss": 1.0479, + "step": 3650 + }, + { + "epoch": 0.42, + "learning_rate": 1.8308296741391264e-05, + "loss": 1.021, + "step": 3660 + }, + { + "epoch": 0.42, + "learning_rate": 1.8303674601340424e-05, + "loss": 0.9833, + "step": 3670 + }, + { + "epoch": 0.43, + "learning_rate": 1.829905246128958e-05, + "loss": 0.9384, + "step": 3680 + }, + { + "epoch": 0.43, + "learning_rate": 1.8294430321238734e-05, + "loss": 0.9701, + "step": 3690 + }, + { + "epoch": 0.43, + "learning_rate": 1.828980818118789e-05, + "loss": 1.0501, + "step": 3700 + }, + { + "epoch": 0.43, + "learning_rate": 1.8285186041137047e-05, + "loss": 1.1911, + "step": 3710 + }, + { + "epoch": 0.43, + "learning_rate": 1.8280563901086204e-05, + "loss": 1.2042, + "step": 3720 + }, + { + "epoch": 0.43, + "learning_rate": 1.827594176103536e-05, + "loss": 1.2211, + "step": 3730 + }, + { + "epoch": 0.43, + "learning_rate": 1.8271319620984517e-05, + "loss": 1.2117, + "step": 3740 + }, + { + "epoch": 0.43, + "learning_rate": 1.8266697480933674e-05, + "loss": 1.0471, + "step": 3750 + }, + { + "epoch": 0.43, + "learning_rate": 1.826207534088283e-05, + "loss": 1.2078, + "step": 3760 + }, + { + "epoch": 0.44, + "learning_rate": 1.8257453200831987e-05, + "loss": 1.1027, + "step": 3770 + }, + { + "epoch": 0.44, + "learning_rate": 1.8252831060781144e-05, + "loss": 1.1611, + "step": 3780 + }, + { + "epoch": 0.44, + "learning_rate": 1.82482089207303e-05, + "loss": 1.2885, + "step": 3790 + }, + { + "epoch": 0.44, + "learning_rate": 1.8243586780679457e-05, + "loss": 1.2312, + "step": 3800 + }, + { + "epoch": 0.44, + "learning_rate": 1.8238964640628613e-05, + "loss": 0.9937, + "step": 3810 + }, + { + "epoch": 0.44, + "learning_rate": 1.823434250057777e-05, + "loss": 1.2174, + "step": 3820 + }, + { + "epoch": 0.44, + "learning_rate": 1.8229720360526927e-05, + "loss": 1.1851, + "step": 3830 + }, + { + "epoch": 0.44, + "learning_rate": 1.8225098220476083e-05, + "loss": 1.1764, + "step": 3840 + }, + { + "epoch": 0.44, + "learning_rate": 1.8220476080425237e-05, + "loss": 1.1064, + "step": 3850 + }, + { + "epoch": 0.45, + "learning_rate": 1.8215853940374393e-05, + "loss": 0.9792, + "step": 3860 + }, + { + "epoch": 0.45, + "learning_rate": 1.8211231800323553e-05, + "loss": 1.1031, + "step": 3870 + }, + { + "epoch": 0.45, + "learning_rate": 1.8206609660272707e-05, + "loss": 1.294, + "step": 3880 + }, + { + "epoch": 0.45, + "learning_rate": 1.8201987520221863e-05, + "loss": 1.2966, + "step": 3890 + }, + { + "epoch": 0.45, + "learning_rate": 1.819736538017102e-05, + "loss": 0.8264, + "step": 3900 + }, + { + "epoch": 0.45, + "learning_rate": 1.8192743240120177e-05, + "loss": 1.2898, + "step": 3910 + }, + { + "epoch": 0.45, + "learning_rate": 1.8188121100069333e-05, + "loss": 0.9579, + "step": 3920 + }, + { + "epoch": 0.45, + "learning_rate": 1.818349896001849e-05, + "loss": 1.0927, + "step": 3930 + }, + { + "epoch": 0.46, + "learning_rate": 1.8178876819967647e-05, + "loss": 0.9784, + "step": 3940 + }, + { + "epoch": 0.46, + "learning_rate": 1.8174254679916803e-05, + "loss": 1.2402, + "step": 3950 + }, + { + "epoch": 0.46, + "learning_rate": 1.816963253986596e-05, + "loss": 1.0832, + "step": 3960 + }, + { + "epoch": 0.46, + "learning_rate": 1.8165010399815117e-05, + "loss": 1.4883, + "step": 3970 + }, + { + "epoch": 0.46, + "learning_rate": 1.8160388259764273e-05, + "loss": 1.0722, + "step": 3980 + }, + { + "epoch": 0.46, + "learning_rate": 1.815576611971343e-05, + "loss": 1.2664, + "step": 3990 + }, + { + "epoch": 0.46, + "learning_rate": 1.8151143979662583e-05, + "loss": 1.0371, + "step": 4000 + }, + { + "epoch": 0.46, + "learning_rate": 1.814652183961174e-05, + "loss": 1.0832, + "step": 4010 + }, + { + "epoch": 0.46, + "learning_rate": 1.81418996995609e-05, + "loss": 1.1956, + "step": 4020 + }, + { + "epoch": 0.47, + "learning_rate": 1.8137277559510053e-05, + "loss": 1.1934, + "step": 4030 + }, + { + "epoch": 0.47, + "learning_rate": 1.813265541945921e-05, + "loss": 1.1124, + "step": 4040 + }, + { + "epoch": 0.47, + "learning_rate": 1.8128033279408366e-05, + "loss": 1.1333, + "step": 4050 + }, + { + "epoch": 0.47, + "learning_rate": 1.8123411139357523e-05, + "loss": 0.9141, + "step": 4060 + }, + { + "epoch": 0.47, + "learning_rate": 1.811878899930668e-05, + "loss": 1.1591, + "step": 4070 + }, + { + "epoch": 0.47, + "learning_rate": 1.8114166859255836e-05, + "loss": 1.0963, + "step": 4080 + }, + { + "epoch": 0.47, + "learning_rate": 1.8109544719204993e-05, + "loss": 1.1133, + "step": 4090 + }, + { + "epoch": 0.47, + "learning_rate": 1.810492257915415e-05, + "loss": 1.1491, + "step": 4100 + }, + { + "epoch": 0.47, + "learning_rate": 1.8100300439103306e-05, + "loss": 1.0735, + "step": 4110 + }, + { + "epoch": 0.48, + "learning_rate": 1.8095678299052463e-05, + "loss": 1.2437, + "step": 4120 + }, + { + "epoch": 0.48, + "learning_rate": 1.809105615900162e-05, + "loss": 0.968, + "step": 4130 + }, + { + "epoch": 0.48, + "learning_rate": 1.8086434018950776e-05, + "loss": 1.1369, + "step": 4140 + }, + { + "epoch": 0.48, + "learning_rate": 1.8081811878899933e-05, + "loss": 1.1927, + "step": 4150 + }, + { + "epoch": 0.48, + "learning_rate": 1.807718973884909e-05, + "loss": 1.0901, + "step": 4160 + }, + { + "epoch": 0.48, + "learning_rate": 1.8072567598798246e-05, + "loss": 1.2807, + "step": 4170 + }, + { + "epoch": 0.48, + "learning_rate": 1.8067945458747403e-05, + "loss": 1.1302, + "step": 4180 + }, + { + "epoch": 0.48, + "learning_rate": 1.8063323318696556e-05, + "loss": 1.0799, + "step": 4190 + }, + { + "epoch": 0.49, + "learning_rate": 1.8058701178645713e-05, + "loss": 0.8996, + "step": 4200 + }, + { + "epoch": 0.49, + "learning_rate": 1.8054079038594873e-05, + "loss": 1.1115, + "step": 4210 + }, + { + "epoch": 0.49, + "learning_rate": 1.8049456898544026e-05, + "loss": 1.0048, + "step": 4220 + }, + { + "epoch": 0.49, + "learning_rate": 1.8044834758493183e-05, + "loss": 0.8283, + "step": 4230 + }, + { + "epoch": 0.49, + "learning_rate": 1.804021261844234e-05, + "loss": 1.0445, + "step": 4240 + }, + { + "epoch": 0.49, + "learning_rate": 1.8035590478391496e-05, + "loss": 0.9902, + "step": 4250 + }, + { + "epoch": 0.49, + "learning_rate": 1.8030968338340653e-05, + "loss": 1.0734, + "step": 4260 + }, + { + "epoch": 0.49, + "learning_rate": 1.802634619828981e-05, + "loss": 1.0718, + "step": 4270 + }, + { + "epoch": 0.49, + "learning_rate": 1.8021724058238966e-05, + "loss": 0.9862, + "step": 4280 + }, + { + "epoch": 0.5, + "learning_rate": 1.8017101918188123e-05, + "loss": 1.1452, + "step": 4290 + }, + { + "epoch": 0.5, + "learning_rate": 1.801247977813728e-05, + "loss": 1.2783, + "step": 4300 + }, + { + "epoch": 0.5, + "learning_rate": 1.8007857638086436e-05, + "loss": 1.1989, + "step": 4310 + }, + { + "epoch": 0.5, + "learning_rate": 1.8003235498035593e-05, + "loss": 1.0156, + "step": 4320 + }, + { + "epoch": 0.5, + "learning_rate": 1.799861335798475e-05, + "loss": 1.0055, + "step": 4330 + }, + { + "epoch": 0.5, + "learning_rate": 1.7993991217933903e-05, + "loss": 0.9824, + "step": 4340 + }, + { + "epoch": 0.5, + "learning_rate": 1.798936907788306e-05, + "loss": 1.1124, + "step": 4350 + }, + { + "epoch": 0.5, + "learning_rate": 1.798474693783222e-05, + "loss": 1.1933, + "step": 4360 + }, + { + "epoch": 0.5, + "learning_rate": 1.7980124797781376e-05, + "loss": 1.1943, + "step": 4370 + }, + { + "epoch": 0.51, + "learning_rate": 1.797550265773053e-05, + "loss": 1.0805, + "step": 4380 + }, + { + "epoch": 0.51, + "learning_rate": 1.7970880517679686e-05, + "loss": 1.0607, + "step": 4390 + }, + { + "epoch": 0.51, + "learning_rate": 1.7966258377628846e-05, + "loss": 0.9657, + "step": 4400 + }, + { + "epoch": 0.51, + "learning_rate": 1.7961636237578e-05, + "loss": 1.0422, + "step": 4410 + }, + { + "epoch": 0.51, + "learning_rate": 1.7957014097527156e-05, + "loss": 1.1064, + "step": 4420 + }, + { + "epoch": 0.51, + "learning_rate": 1.7952391957476313e-05, + "loss": 0.9067, + "step": 4430 + }, + { + "epoch": 0.51, + "learning_rate": 1.794776981742547e-05, + "loss": 1.1491, + "step": 4440 + }, + { + "epoch": 0.51, + "learning_rate": 1.7943147677374626e-05, + "loss": 0.9649, + "step": 4450 + }, + { + "epoch": 0.52, + "learning_rate": 1.7938525537323783e-05, + "loss": 1.0047, + "step": 4460 + }, + { + "epoch": 0.52, + "learning_rate": 1.793390339727294e-05, + "loss": 1.1943, + "step": 4470 + }, + { + "epoch": 0.52, + "learning_rate": 1.7929281257222096e-05, + "loss": 1.2275, + "step": 4480 + }, + { + "epoch": 0.52, + "learning_rate": 1.7924659117171253e-05, + "loss": 0.9264, + "step": 4490 + }, + { + "epoch": 0.52, + "learning_rate": 1.7920036977120406e-05, + "loss": 1.4983, + "step": 4500 + }, + { + "epoch": 0.52, + "learning_rate": 1.7915414837069566e-05, + "loss": 1.2524, + "step": 4510 + }, + { + "epoch": 0.52, + "learning_rate": 1.7910792697018723e-05, + "loss": 1.0237, + "step": 4520 + }, + { + "epoch": 0.52, + "learning_rate": 1.7906170556967876e-05, + "loss": 1.1045, + "step": 4530 + }, + { + "epoch": 0.52, + "learning_rate": 1.7901548416917033e-05, + "loss": 0.9626, + "step": 4540 + }, + { + "epoch": 0.53, + "learning_rate": 1.7896926276866193e-05, + "loss": 1.0998, + "step": 4550 + }, + { + "epoch": 0.53, + "learning_rate": 1.7892304136815346e-05, + "loss": 1.1499, + "step": 4560 + }, + { + "epoch": 0.53, + "learning_rate": 1.7887681996764502e-05, + "loss": 1.1892, + "step": 4570 + }, + { + "epoch": 0.53, + "learning_rate": 1.788305985671366e-05, + "loss": 0.8999, + "step": 4580 + }, + { + "epoch": 0.53, + "learning_rate": 1.7878437716662816e-05, + "loss": 1.0934, + "step": 4590 + }, + { + "epoch": 0.53, + "learning_rate": 1.7873815576611972e-05, + "loss": 0.9457, + "step": 4600 + }, + { + "epoch": 0.53, + "learning_rate": 1.786919343656113e-05, + "loss": 0.9881, + "step": 4610 + }, + { + "epoch": 0.53, + "learning_rate": 1.7864571296510286e-05, + "loss": 1.2537, + "step": 4620 + }, + { + "epoch": 0.54, + "learning_rate": 1.7859949156459442e-05, + "loss": 0.9357, + "step": 4630 + }, + { + "epoch": 0.54, + "learning_rate": 1.78553270164086e-05, + "loss": 1.0279, + "step": 4640 + }, + { + "epoch": 0.54, + "learning_rate": 1.7850704876357756e-05, + "loss": 0.9582, + "step": 4650 + }, + { + "epoch": 0.54, + "learning_rate": 1.7846082736306912e-05, + "loss": 1.2051, + "step": 4660 + }, + { + "epoch": 0.54, + "learning_rate": 1.784146059625607e-05, + "loss": 1.1061, + "step": 4670 + }, + { + "epoch": 0.54, + "learning_rate": 1.7836838456205226e-05, + "loss": 1.0186, + "step": 4680 + }, + { + "epoch": 0.54, + "learning_rate": 1.783221631615438e-05, + "loss": 1.1878, + "step": 4690 + }, + { + "epoch": 0.54, + "learning_rate": 1.782759417610354e-05, + "loss": 1.2719, + "step": 4700 + }, + { + "epoch": 0.54, + "learning_rate": 1.7822972036052696e-05, + "loss": 1.2793, + "step": 4710 + }, + { + "epoch": 0.55, + "learning_rate": 1.781834989600185e-05, + "loss": 1.3585, + "step": 4720 + }, + { + "epoch": 0.55, + "learning_rate": 1.7813727755951006e-05, + "loss": 1.1022, + "step": 4730 + }, + { + "epoch": 0.55, + "learning_rate": 1.7809105615900166e-05, + "loss": 1.0497, + "step": 4740 + }, + { + "epoch": 0.55, + "learning_rate": 1.780448347584932e-05, + "loss": 1.114, + "step": 4750 + }, + { + "epoch": 0.55, + "learning_rate": 1.7799861335798476e-05, + "loss": 0.9732, + "step": 4760 + }, + { + "epoch": 0.55, + "learning_rate": 1.7795239195747632e-05, + "loss": 1.1097, + "step": 4770 + }, + { + "epoch": 0.55, + "learning_rate": 1.779061705569679e-05, + "loss": 0.9982, + "step": 4780 + }, + { + "epoch": 0.55, + "learning_rate": 1.7785994915645946e-05, + "loss": 1.0951, + "step": 4790 + }, + { + "epoch": 0.55, + "learning_rate": 1.7781372775595102e-05, + "loss": 1.2558, + "step": 4800 + }, + { + "epoch": 0.56, + "learning_rate": 1.777675063554426e-05, + "loss": 1.042, + "step": 4810 + }, + { + "epoch": 0.56, + "learning_rate": 1.7772128495493416e-05, + "loss": 1.3038, + "step": 4820 + }, + { + "epoch": 0.56, + "learning_rate": 1.7767506355442572e-05, + "loss": 1.2353, + "step": 4830 + }, + { + "epoch": 0.56, + "learning_rate": 1.7762884215391725e-05, + "loss": 1.1145, + "step": 4840 + }, + { + "epoch": 0.56, + "learning_rate": 1.7758262075340885e-05, + "loss": 1.0235, + "step": 4850 + }, + { + "epoch": 0.56, + "learning_rate": 1.7753639935290042e-05, + "loss": 0.9571, + "step": 4860 + }, + { + "epoch": 0.56, + "learning_rate": 1.7749017795239195e-05, + "loss": 1.0169, + "step": 4870 + }, + { + "epoch": 0.56, + "learning_rate": 1.7744395655188352e-05, + "loss": 1.038, + "step": 4880 + }, + { + "epoch": 0.57, + "learning_rate": 1.7739773515137512e-05, + "loss": 1.2734, + "step": 4890 + }, + { + "epoch": 0.57, + "learning_rate": 1.7735151375086665e-05, + "loss": 1.1351, + "step": 4900 + }, + { + "epoch": 0.57, + "learning_rate": 1.7730529235035822e-05, + "loss": 1.2046, + "step": 4910 + }, + { + "epoch": 0.57, + "learning_rate": 1.772590709498498e-05, + "loss": 0.9644, + "step": 4920 + }, + { + "epoch": 0.57, + "learning_rate": 1.7721284954934135e-05, + "loss": 1.1694, + "step": 4930 + }, + { + "epoch": 0.57, + "learning_rate": 1.7716662814883292e-05, + "loss": 1.2234, + "step": 4940 + }, + { + "epoch": 0.57, + "learning_rate": 1.771204067483245e-05, + "loss": 1.1693, + "step": 4950 + }, + { + "epoch": 0.57, + "learning_rate": 1.7707418534781605e-05, + "loss": 1.1737, + "step": 4960 + }, + { + "epoch": 0.57, + "learning_rate": 1.7702796394730762e-05, + "loss": 1.0496, + "step": 4970 + }, + { + "epoch": 0.58, + "learning_rate": 1.769817425467992e-05, + "loss": 1.0657, + "step": 4980 + }, + { + "epoch": 0.58, + "learning_rate": 1.7693552114629075e-05, + "loss": 1.0469, + "step": 4990 + }, + { + "epoch": 0.58, + "learning_rate": 1.7688929974578232e-05, + "loss": 0.9483, + "step": 5000 + }, + { + "epoch": 0.58, + "learning_rate": 1.768430783452739e-05, + "loss": 1.0459, + "step": 5010 + }, + { + "epoch": 0.58, + "learning_rate": 1.7679685694476545e-05, + "loss": 0.9762, + "step": 5020 + }, + { + "epoch": 0.58, + "learning_rate": 1.76750635544257e-05, + "loss": 0.9717, + "step": 5030 + }, + { + "epoch": 0.58, + "learning_rate": 1.767044141437486e-05, + "loss": 1.0767, + "step": 5040 + }, + { + "epoch": 0.58, + "learning_rate": 1.7665819274324015e-05, + "loss": 1.0034, + "step": 5050 + }, + { + "epoch": 0.58, + "learning_rate": 1.766119713427317e-05, + "loss": 1.2245, + "step": 5060 + }, + { + "epoch": 0.59, + "learning_rate": 1.7656574994222325e-05, + "loss": 1.1618, + "step": 5070 + }, + { + "epoch": 0.59, + "learning_rate": 1.7651952854171482e-05, + "loss": 1.0739, + "step": 5080 + }, + { + "epoch": 0.59, + "learning_rate": 1.764733071412064e-05, + "loss": 1.0676, + "step": 5090 + }, + { + "epoch": 0.59, + "learning_rate": 1.7642708574069795e-05, + "loss": 1.177, + "step": 5100 + }, + { + "epoch": 0.59, + "learning_rate": 1.7638086434018952e-05, + "loss": 1.1787, + "step": 5110 + }, + { + "epoch": 0.59, + "learning_rate": 1.763346429396811e-05, + "loss": 1.1914, + "step": 5120 + }, + { + "epoch": 0.59, + "learning_rate": 1.7628842153917265e-05, + "loss": 1.1025, + "step": 5130 + }, + { + "epoch": 0.59, + "learning_rate": 1.7624220013866422e-05, + "loss": 1.4116, + "step": 5140 + }, + { + "epoch": 0.6, + "learning_rate": 1.761959787381558e-05, + "loss": 1.1818, + "step": 5150 + }, + { + "epoch": 0.6, + "learning_rate": 1.7614975733764735e-05, + "loss": 1.073, + "step": 5160 + }, + { + "epoch": 0.6, + "learning_rate": 1.7610353593713892e-05, + "loss": 0.9147, + "step": 5170 + }, + { + "epoch": 0.6, + "learning_rate": 1.7605731453663045e-05, + "loss": 1.1985, + "step": 5180 + }, + { + "epoch": 0.6, + "learning_rate": 1.7601109313612205e-05, + "loss": 1.0203, + "step": 5190 + }, + { + "epoch": 0.6, + "learning_rate": 1.7596487173561362e-05, + "loss": 1.2276, + "step": 5200 + }, + { + "epoch": 0.6, + "learning_rate": 1.759186503351052e-05, + "loss": 1.1782, + "step": 5210 + }, + { + "epoch": 0.6, + "learning_rate": 1.758724289345967e-05, + "loss": 1.021, + "step": 5220 + }, + { + "epoch": 0.6, + "learning_rate": 1.758262075340883e-05, + "loss": 1.2512, + "step": 5230 + }, + { + "epoch": 0.61, + "learning_rate": 1.757799861335799e-05, + "loss": 0.8604, + "step": 5240 + }, + { + "epoch": 0.61, + "learning_rate": 1.757337647330714e-05, + "loss": 1.2508, + "step": 5250 + }, + { + "epoch": 0.61, + "learning_rate": 1.7568754333256298e-05, + "loss": 0.9594, + "step": 5260 + }, + { + "epoch": 0.61, + "learning_rate": 1.7564132193205455e-05, + "loss": 0.9819, + "step": 5270 + }, + { + "epoch": 0.61, + "learning_rate": 1.755951005315461e-05, + "loss": 1.0098, + "step": 5280 + }, + { + "epoch": 0.61, + "learning_rate": 1.7554887913103768e-05, + "loss": 1.1188, + "step": 5290 + }, + { + "epoch": 0.61, + "learning_rate": 1.7550265773052925e-05, + "loss": 1.0023, + "step": 5300 + }, + { + "epoch": 0.61, + "learning_rate": 1.754564363300208e-05, + "loss": 1.1674, + "step": 5310 + }, + { + "epoch": 0.61, + "learning_rate": 1.7541021492951238e-05, + "loss": 1.3173, + "step": 5320 + }, + { + "epoch": 0.62, + "learning_rate": 1.7536399352900395e-05, + "loss": 1.1943, + "step": 5330 + }, + { + "epoch": 0.62, + "learning_rate": 1.753177721284955e-05, + "loss": 1.2519, + "step": 5340 + }, + { + "epoch": 0.62, + "learning_rate": 1.7527155072798708e-05, + "loss": 1.0812, + "step": 5350 + }, + { + "epoch": 0.62, + "learning_rate": 1.7522532932747865e-05, + "loss": 1.0451, + "step": 5360 + }, + { + "epoch": 0.62, + "learning_rate": 1.7517910792697018e-05, + "loss": 0.9264, + "step": 5370 + }, + { + "epoch": 0.62, + "learning_rate": 1.7513288652646178e-05, + "loss": 1.0676, + "step": 5380 + }, + { + "epoch": 0.62, + "learning_rate": 1.7508666512595335e-05, + "loss": 0.9933, + "step": 5390 + }, + { + "epoch": 0.62, + "learning_rate": 1.7504044372544488e-05, + "loss": 1.0961, + "step": 5400 + }, + { + "epoch": 0.63, + "learning_rate": 1.7499422232493645e-05, + "loss": 0.9239, + "step": 5410 + }, + { + "epoch": 0.63, + "learning_rate": 1.74948000924428e-05, + "loss": 1.23, + "step": 5420 + }, + { + "epoch": 0.63, + "learning_rate": 1.7490177952391958e-05, + "loss": 1.0587, + "step": 5430 + }, + { + "epoch": 0.63, + "learning_rate": 1.7485555812341115e-05, + "loss": 1.1866, + "step": 5440 + }, + { + "epoch": 0.63, + "learning_rate": 1.748093367229027e-05, + "loss": 0.9511, + "step": 5450 + }, + { + "epoch": 0.63, + "learning_rate": 1.7476311532239428e-05, + "loss": 0.9471, + "step": 5460 + }, + { + "epoch": 0.63, + "learning_rate": 1.7471689392188585e-05, + "loss": 0.9594, + "step": 5470 + }, + { + "epoch": 0.63, + "learning_rate": 1.746706725213774e-05, + "loss": 1.007, + "step": 5480 + }, + { + "epoch": 0.63, + "learning_rate": 1.7462445112086898e-05, + "loss": 1.0517, + "step": 5490 + }, + { + "epoch": 0.64, + "learning_rate": 1.7457822972036055e-05, + "loss": 1.0325, + "step": 5500 + }, + { + "epoch": 0.64, + "learning_rate": 1.745320083198521e-05, + "loss": 1.3203, + "step": 5510 + }, + { + "epoch": 0.64, + "learning_rate": 1.7448578691934368e-05, + "loss": 0.9371, + "step": 5520 + }, + { + "epoch": 0.64, + "learning_rate": 1.7443956551883525e-05, + "loss": 1.164, + "step": 5530 + }, + { + "epoch": 0.64, + "learning_rate": 1.743933441183268e-05, + "loss": 1.091, + "step": 5540 + }, + { + "epoch": 0.64, + "learning_rate": 1.7434712271781838e-05, + "loss": 1.0484, + "step": 5550 + }, + { + "epoch": 0.64, + "learning_rate": 1.743009013173099e-05, + "loss": 1.1421, + "step": 5560 + }, + { + "epoch": 0.64, + "learning_rate": 1.7425467991680148e-05, + "loss": 0.9402, + "step": 5570 + }, + { + "epoch": 0.64, + "learning_rate": 1.7420845851629308e-05, + "loss": 1.2768, + "step": 5580 + }, + { + "epoch": 0.65, + "learning_rate": 1.741622371157846e-05, + "loss": 1.023, + "step": 5590 + }, + { + "epoch": 0.65, + "learning_rate": 1.7411601571527618e-05, + "loss": 1.0531, + "step": 5600 + }, + { + "epoch": 0.65, + "learning_rate": 1.7406979431476774e-05, + "loss": 0.9572, + "step": 5610 + }, + { + "epoch": 0.65, + "learning_rate": 1.740235729142593e-05, + "loss": 1.1002, + "step": 5620 + }, + { + "epoch": 0.65, + "learning_rate": 1.7397735151375088e-05, + "loss": 1.1253, + "step": 5630 + }, + { + "epoch": 0.65, + "learning_rate": 1.7393113011324244e-05, + "loss": 0.8883, + "step": 5640 + }, + { + "epoch": 0.65, + "learning_rate": 1.73884908712734e-05, + "loss": 1.0386, + "step": 5650 + }, + { + "epoch": 0.65, + "learning_rate": 1.7383868731222558e-05, + "loss": 1.0399, + "step": 5660 + }, + { + "epoch": 0.66, + "learning_rate": 1.7379246591171714e-05, + "loss": 1.1401, + "step": 5670 + }, + { + "epoch": 0.66, + "learning_rate": 1.737462445112087e-05, + "loss": 1.0167, + "step": 5680 + }, + { + "epoch": 0.66, + "learning_rate": 1.7370002311070028e-05, + "loss": 0.993, + "step": 5690 + }, + { + "epoch": 0.66, + "learning_rate": 1.7365380171019184e-05, + "loss": 1.0234, + "step": 5700 + }, + { + "epoch": 0.66, + "learning_rate": 1.7360758030968338e-05, + "loss": 1.2451, + "step": 5710 + }, + { + "epoch": 0.66, + "learning_rate": 1.7356135890917494e-05, + "loss": 1.0098, + "step": 5720 + }, + { + "epoch": 0.66, + "learning_rate": 1.7351513750866654e-05, + "loss": 0.8657, + "step": 5730 + }, + { + "epoch": 0.66, + "learning_rate": 1.7346891610815808e-05, + "loss": 1.0989, + "step": 5740 + }, + { + "epoch": 0.66, + "learning_rate": 1.7342269470764964e-05, + "loss": 0.9638, + "step": 5750 + }, + { + "epoch": 0.67, + "learning_rate": 1.733764733071412e-05, + "loss": 1.2626, + "step": 5760 + }, + { + "epoch": 0.67, + "learning_rate": 1.733302519066328e-05, + "loss": 0.9541, + "step": 5770 + }, + { + "epoch": 0.67, + "learning_rate": 1.7328403050612434e-05, + "loss": 1.0848, + "step": 5780 + }, + { + "epoch": 0.67, + "learning_rate": 1.732378091056159e-05, + "loss": 1.0944, + "step": 5790 + }, + { + "epoch": 0.67, + "learning_rate": 1.7319158770510748e-05, + "loss": 1.1235, + "step": 5800 + }, + { + "epoch": 0.67, + "learning_rate": 1.7314536630459904e-05, + "loss": 1.0125, + "step": 5810 + }, + { + "epoch": 0.67, + "learning_rate": 1.730991449040906e-05, + "loss": 0.8293, + "step": 5820 + }, + { + "epoch": 0.67, + "learning_rate": 1.7305292350358218e-05, + "loss": 1.05, + "step": 5830 + }, + { + "epoch": 0.67, + "learning_rate": 1.7300670210307374e-05, + "loss": 1.1013, + "step": 5840 + }, + { + "epoch": 0.68, + "learning_rate": 1.729604807025653e-05, + "loss": 1.2373, + "step": 5850 + }, + { + "epoch": 0.68, + "learning_rate": 1.7291425930205688e-05, + "loss": 0.9799, + "step": 5860 + }, + { + "epoch": 0.68, + "learning_rate": 1.728680379015484e-05, + "loss": 1.2017, + "step": 5870 + }, + { + "epoch": 0.68, + "learning_rate": 1.7282181650104e-05, + "loss": 1.1122, + "step": 5880 + }, + { + "epoch": 0.68, + "learning_rate": 1.7277559510053158e-05, + "loss": 1.1151, + "step": 5890 + }, + { + "epoch": 0.68, + "learning_rate": 1.727293737000231e-05, + "loss": 0.9771, + "step": 5900 + }, + { + "epoch": 0.68, + "learning_rate": 1.7268315229951467e-05, + "loss": 1.2175, + "step": 5910 + }, + { + "epoch": 0.68, + "learning_rate": 1.7263693089900627e-05, + "loss": 1.1378, + "step": 5920 + }, + { + "epoch": 0.69, + "learning_rate": 1.725907094984978e-05, + "loss": 0.8443, + "step": 5930 + }, + { + "epoch": 0.69, + "learning_rate": 1.7254448809798937e-05, + "loss": 1.2818, + "step": 5940 + }, + { + "epoch": 0.69, + "learning_rate": 1.7249826669748094e-05, + "loss": 0.9434, + "step": 5950 + }, + { + "epoch": 0.69, + "learning_rate": 1.724520452969725e-05, + "loss": 1.0996, + "step": 5960 + }, + { + "epoch": 0.69, + "learning_rate": 1.7240582389646407e-05, + "loss": 1.138, + "step": 5970 + }, + { + "epoch": 0.69, + "learning_rate": 1.7235960249595564e-05, + "loss": 0.8798, + "step": 5980 + }, + { + "epoch": 0.69, + "learning_rate": 1.723133810954472e-05, + "loss": 1.2328, + "step": 5990 + }, + { + "epoch": 0.69, + "learning_rate": 1.7226715969493877e-05, + "loss": 1.1542, + "step": 6000 + }, + { + "epoch": 0.69, + "learning_rate": 1.7222093829443034e-05, + "loss": 0.9816, + "step": 6010 + }, + { + "epoch": 0.7, + "learning_rate": 1.7217471689392187e-05, + "loss": 0.9359, + "step": 6020 + }, + { + "epoch": 0.7, + "learning_rate": 1.7212849549341347e-05, + "loss": 0.9092, + "step": 6030 + }, + { + "epoch": 0.7, + "learning_rate": 1.7208227409290504e-05, + "loss": 1.1386, + "step": 6040 + }, + { + "epoch": 0.7, + "learning_rate": 1.720360526923966e-05, + "loss": 0.8923, + "step": 6050 + }, + { + "epoch": 0.7, + "learning_rate": 1.7198983129188814e-05, + "loss": 0.9748, + "step": 6060 + }, + { + "epoch": 0.7, + "learning_rate": 1.7194360989137974e-05, + "loss": 0.852, + "step": 6070 + }, + { + "epoch": 0.7, + "learning_rate": 1.718973884908713e-05, + "loss": 0.9772, + "step": 6080 + }, + { + "epoch": 0.7, + "learning_rate": 1.7185116709036284e-05, + "loss": 0.9954, + "step": 6090 + }, + { + "epoch": 0.7, + "learning_rate": 1.718049456898544e-05, + "loss": 1.1308, + "step": 6100 + }, + { + "epoch": 0.71, + "learning_rate": 1.71758724289346e-05, + "loss": 0.8412, + "step": 6110 + }, + { + "epoch": 0.71, + "learning_rate": 1.7171250288883754e-05, + "loss": 0.962, + "step": 6120 + }, + { + "epoch": 0.71, + "learning_rate": 1.716662814883291e-05, + "loss": 0.9478, + "step": 6130 + }, + { + "epoch": 0.71, + "learning_rate": 1.7162006008782067e-05, + "loss": 0.9637, + "step": 6140 + }, + { + "epoch": 0.71, + "learning_rate": 1.7157383868731224e-05, + "loss": 1.1045, + "step": 6150 + }, + { + "epoch": 0.71, + "learning_rate": 1.715276172868038e-05, + "loss": 1.0363, + "step": 6160 + }, + { + "epoch": 0.71, + "learning_rate": 1.7148139588629537e-05, + "loss": 0.9901, + "step": 6170 + }, + { + "epoch": 0.71, + "learning_rate": 1.7143517448578694e-05, + "loss": 0.8148, + "step": 6180 + }, + { + "epoch": 0.72, + "learning_rate": 1.713889530852785e-05, + "loss": 1.0114, + "step": 6190 + }, + { + "epoch": 0.72, + "learning_rate": 1.7134273168477007e-05, + "loss": 1.0805, + "step": 6200 + }, + { + "epoch": 0.72, + "learning_rate": 1.712965102842616e-05, + "loss": 1.0605, + "step": 6210 + }, + { + "epoch": 0.72, + "learning_rate": 1.712502888837532e-05, + "loss": 0.8762, + "step": 6220 + }, + { + "epoch": 0.72, + "learning_rate": 1.7120406748324477e-05, + "loss": 1.0604, + "step": 6230 + }, + { + "epoch": 0.72, + "learning_rate": 1.711578460827363e-05, + "loss": 1.0384, + "step": 6240 + }, + { + "epoch": 0.72, + "learning_rate": 1.7111162468222787e-05, + "loss": 1.0305, + "step": 6250 + }, + { + "epoch": 0.72, + "learning_rate": 1.7106540328171947e-05, + "loss": 1.2941, + "step": 6260 + }, + { + "epoch": 0.72, + "learning_rate": 1.71019181881211e-05, + "loss": 1.096, + "step": 6270 + }, + { + "epoch": 0.73, + "learning_rate": 1.7097296048070257e-05, + "loss": 0.9669, + "step": 6280 + }, + { + "epoch": 0.73, + "learning_rate": 1.7092673908019414e-05, + "loss": 1.068, + "step": 6290 + }, + { + "epoch": 0.73, + "learning_rate": 1.708805176796857e-05, + "loss": 1.1909, + "step": 6300 + }, + { + "epoch": 0.73, + "learning_rate": 1.7083429627917727e-05, + "loss": 0.9538, + "step": 6310 + }, + { + "epoch": 0.73, + "learning_rate": 1.7078807487866884e-05, + "loss": 1.1258, + "step": 6320 + }, + { + "epoch": 0.73, + "learning_rate": 1.707418534781604e-05, + "loss": 0.9283, + "step": 6330 + }, + { + "epoch": 0.73, + "learning_rate": 1.7069563207765197e-05, + "loss": 1.086, + "step": 6340 + }, + { + "epoch": 0.73, + "learning_rate": 1.7064941067714354e-05, + "loss": 1.1066, + "step": 6350 + }, + { + "epoch": 0.73, + "learning_rate": 1.706031892766351e-05, + "loss": 0.9729, + "step": 6360 + }, + { + "epoch": 0.74, + "learning_rate": 1.7055696787612667e-05, + "loss": 1.2501, + "step": 6370 + }, + { + "epoch": 0.74, + "learning_rate": 1.7051074647561824e-05, + "loss": 1.0994, + "step": 6380 + }, + { + "epoch": 0.74, + "learning_rate": 1.704645250751098e-05, + "loss": 1.0894, + "step": 6390 + }, + { + "epoch": 0.74, + "learning_rate": 1.7041830367460133e-05, + "loss": 0.9294, + "step": 6400 + }, + { + "epoch": 0.74, + "learning_rate": 1.7037208227409294e-05, + "loss": 1.0342, + "step": 6410 + }, + { + "epoch": 0.74, + "learning_rate": 1.703258608735845e-05, + "loss": 0.7911, + "step": 6420 + }, + { + "epoch": 0.74, + "learning_rate": 1.7027963947307603e-05, + "loss": 1.3068, + "step": 6430 + }, + { + "epoch": 0.74, + "learning_rate": 1.702334180725676e-05, + "loss": 0.9894, + "step": 6440 + }, + { + "epoch": 0.75, + "learning_rate": 1.701871966720592e-05, + "loss": 1.1505, + "step": 6450 + }, + { + "epoch": 0.75, + "learning_rate": 1.7014097527155073e-05, + "loss": 1.0107, + "step": 6460 + }, + { + "epoch": 0.75, + "learning_rate": 1.700947538710423e-05, + "loss": 1.0702, + "step": 6470 + }, + { + "epoch": 0.75, + "learning_rate": 1.7004853247053387e-05, + "loss": 1.0967, + "step": 6480 + }, + { + "epoch": 0.75, + "learning_rate": 1.7000231107002543e-05, + "loss": 1.1386, + "step": 6490 + }, + { + "epoch": 0.75, + "learning_rate": 1.69956089669517e-05, + "loss": 0.9393, + "step": 6500 + }, + { + "epoch": 0.75, + "learning_rate": 1.6990986826900857e-05, + "loss": 1.1836, + "step": 6510 + }, + { + "epoch": 0.75, + "learning_rate": 1.6986364686850013e-05, + "loss": 0.9144, + "step": 6520 + }, + { + "epoch": 0.75, + "learning_rate": 1.698174254679917e-05, + "loss": 1.1461, + "step": 6530 + }, + { + "epoch": 0.76, + "learning_rate": 1.6977120406748327e-05, + "loss": 1.2101, + "step": 6540 + }, + { + "epoch": 0.76, + "learning_rate": 1.697249826669748e-05, + "loss": 1.1478, + "step": 6550 + }, + { + "epoch": 0.76, + "learning_rate": 1.696787612664664e-05, + "loss": 1.3228, + "step": 6560 + }, + { + "epoch": 0.76, + "learning_rate": 1.6963253986595797e-05, + "loss": 1.1274, + "step": 6570 + }, + { + "epoch": 0.76, + "learning_rate": 1.695863184654495e-05, + "loss": 1.1506, + "step": 6580 + }, + { + "epoch": 0.76, + "learning_rate": 1.6954009706494107e-05, + "loss": 0.9914, + "step": 6590 + }, + { + "epoch": 0.76, + "learning_rate": 1.6949387566443267e-05, + "loss": 0.9621, + "step": 6600 + }, + { + "epoch": 0.76, + "learning_rate": 1.6944765426392423e-05, + "loss": 1.1857, + "step": 6610 + }, + { + "epoch": 0.76, + "learning_rate": 1.6940143286341577e-05, + "loss": 1.0759, + "step": 6620 + }, + { + "epoch": 0.77, + "learning_rate": 1.6935521146290733e-05, + "loss": 1.039, + "step": 6630 + }, + { + "epoch": 0.77, + "learning_rate": 1.693089900623989e-05, + "loss": 0.9317, + "step": 6640 + }, + { + "epoch": 0.77, + "learning_rate": 1.6926276866189047e-05, + "loss": 0.8067, + "step": 6650 + }, + { + "epoch": 0.77, + "learning_rate": 1.6921654726138203e-05, + "loss": 0.975, + "step": 6660 + }, + { + "epoch": 0.77, + "learning_rate": 1.691703258608736e-05, + "loss": 1.3564, + "step": 6670 + }, + { + "epoch": 0.77, + "learning_rate": 1.6912410446036516e-05, + "loss": 0.9628, + "step": 6680 + }, + { + "epoch": 0.77, + "learning_rate": 1.6907788305985673e-05, + "loss": 1.1236, + "step": 6690 + }, + { + "epoch": 0.77, + "learning_rate": 1.690316616593483e-05, + "loss": 1.0621, + "step": 6700 + }, + { + "epoch": 0.78, + "learning_rate": 1.6898544025883986e-05, + "loss": 0.9256, + "step": 6710 + }, + { + "epoch": 0.78, + "learning_rate": 1.6893921885833143e-05, + "loss": 0.9744, + "step": 6720 + }, + { + "epoch": 0.78, + "learning_rate": 1.68892997457823e-05, + "loss": 1.0686, + "step": 6730 + }, + { + "epoch": 0.78, + "learning_rate": 1.6884677605731453e-05, + "loss": 1.1468, + "step": 6740 + }, + { + "epoch": 0.78, + "learning_rate": 1.6880055465680613e-05, + "loss": 1.1455, + "step": 6750 + }, + { + "epoch": 0.78, + "learning_rate": 1.687543332562977e-05, + "loss": 0.993, + "step": 6760 + }, + { + "epoch": 0.78, + "learning_rate": 1.6870811185578923e-05, + "loss": 0.9076, + "step": 6770 + }, + { + "epoch": 0.78, + "learning_rate": 1.686618904552808e-05, + "loss": 1.2043, + "step": 6780 + }, + { + "epoch": 0.78, + "learning_rate": 1.6861566905477236e-05, + "loss": 1.0956, + "step": 6790 + }, + { + "epoch": 0.79, + "learning_rate": 1.6856944765426393e-05, + "loss": 1.1863, + "step": 6800 + }, + { + "epoch": 0.79, + "learning_rate": 1.685232262537555e-05, + "loss": 1.1048, + "step": 6810 + }, + { + "epoch": 0.79, + "learning_rate": 1.6847700485324706e-05, + "loss": 0.9377, + "step": 6820 + }, + { + "epoch": 0.79, + "learning_rate": 1.6843078345273863e-05, + "loss": 1.0707, + "step": 6830 + }, + { + "epoch": 0.79, + "learning_rate": 1.683845620522302e-05, + "loss": 0.9366, + "step": 6840 + }, + { + "epoch": 0.79, + "learning_rate": 1.6833834065172176e-05, + "loss": 1.0371, + "step": 6850 + }, + { + "epoch": 0.79, + "learning_rate": 1.6829211925121333e-05, + "loss": 0.9048, + "step": 6860 + }, + { + "epoch": 0.79, + "learning_rate": 1.682458978507049e-05, + "loss": 1.083, + "step": 6870 + }, + { + "epoch": 0.8, + "learning_rate": 1.6819967645019646e-05, + "loss": 1.0081, + "step": 6880 + }, + { + "epoch": 0.8, + "learning_rate": 1.6815345504968803e-05, + "loss": 1.1577, + "step": 6890 + }, + { + "epoch": 0.8, + "learning_rate": 1.681072336491796e-05, + "loss": 1.0077, + "step": 6900 + }, + { + "epoch": 0.8, + "learning_rate": 1.6806101224867116e-05, + "loss": 0.9902, + "step": 6910 + }, + { + "epoch": 0.8, + "learning_rate": 1.6801479084816273e-05, + "loss": 1.1284, + "step": 6920 + }, + { + "epoch": 0.8, + "learning_rate": 1.6796856944765426e-05, + "loss": 1.0113, + "step": 6930 + }, + { + "epoch": 0.8, + "learning_rate": 1.6792234804714583e-05, + "loss": 1.0946, + "step": 6940 + }, + { + "epoch": 0.8, + "learning_rate": 1.6787612664663743e-05, + "loss": 0.9434, + "step": 6950 + }, + { + "epoch": 0.8, + "learning_rate": 1.6782990524612896e-05, + "loss": 1.0813, + "step": 6960 + }, + { + "epoch": 0.81, + "learning_rate": 1.6778368384562053e-05, + "loss": 1.0322, + "step": 6970 + }, + { + "epoch": 0.81, + "learning_rate": 1.677374624451121e-05, + "loss": 1.0166, + "step": 6980 + }, + { + "epoch": 0.81, + "learning_rate": 1.6769124104460366e-05, + "loss": 1.0323, + "step": 6990 + }, + { + "epoch": 0.81, + "learning_rate": 1.6764501964409523e-05, + "loss": 1.0458, + "step": 7000 + }, + { + "epoch": 0.81, + "learning_rate": 1.675987982435868e-05, + "loss": 0.9714, + "step": 7010 + }, + { + "epoch": 0.81, + "learning_rate": 1.6755257684307836e-05, + "loss": 0.9385, + "step": 7020 + }, + { + "epoch": 0.81, + "learning_rate": 1.6750635544256993e-05, + "loss": 1.1339, + "step": 7030 + }, + { + "epoch": 0.81, + "learning_rate": 1.674601340420615e-05, + "loss": 1.1222, + "step": 7040 + }, + { + "epoch": 0.81, + "learning_rate": 1.6741391264155306e-05, + "loss": 0.9426, + "step": 7050 + }, + { + "epoch": 0.82, + "learning_rate": 1.6736769124104463e-05, + "loss": 1.0367, + "step": 7060 + }, + { + "epoch": 0.82, + "learning_rate": 1.673214698405362e-05, + "loss": 0.9712, + "step": 7070 + }, + { + "epoch": 0.82, + "learning_rate": 1.6727524844002773e-05, + "loss": 0.9698, + "step": 7080 + }, + { + "epoch": 0.82, + "learning_rate": 1.672290270395193e-05, + "loss": 1.068, + "step": 7090 + }, + { + "epoch": 0.82, + "learning_rate": 1.671828056390109e-05, + "loss": 1.1894, + "step": 7100 + }, + { + "epoch": 0.82, + "learning_rate": 1.6713658423850243e-05, + "loss": 0.8129, + "step": 7110 + }, + { + "epoch": 0.82, + "learning_rate": 1.67090362837994e-05, + "loss": 0.9051, + "step": 7120 + }, + { + "epoch": 0.82, + "learning_rate": 1.6704414143748556e-05, + "loss": 0.8062, + "step": 7130 + }, + { + "epoch": 0.83, + "learning_rate": 1.6699792003697713e-05, + "loss": 1.0051, + "step": 7140 + }, + { + "epoch": 0.83, + "learning_rate": 1.669516986364687e-05, + "loss": 0.8871, + "step": 7150 + }, + { + "epoch": 0.83, + "learning_rate": 1.6690547723596026e-05, + "loss": 1.0329, + "step": 7160 + }, + { + "epoch": 0.83, + "learning_rate": 1.6685925583545183e-05, + "loss": 1.2144, + "step": 7170 + }, + { + "epoch": 0.83, + "learning_rate": 1.668130344349434e-05, + "loss": 1.1275, + "step": 7180 + }, + { + "epoch": 0.83, + "learning_rate": 1.6676681303443496e-05, + "loss": 1.0718, + "step": 7190 + }, + { + "epoch": 0.83, + "learning_rate": 1.6672059163392652e-05, + "loss": 0.9477, + "step": 7200 + }, + { + "epoch": 0.83, + "learning_rate": 1.666743702334181e-05, + "loss": 1.0615, + "step": 7210 + }, + { + "epoch": 0.83, + "learning_rate": 1.6662814883290966e-05, + "loss": 0.9653, + "step": 7220 + }, + { + "epoch": 0.84, + "learning_rate": 1.6658192743240122e-05, + "loss": 1.0649, + "step": 7230 + }, + { + "epoch": 0.84, + "learning_rate": 1.665357060318928e-05, + "loss": 0.9939, + "step": 7240 + }, + { + "epoch": 0.84, + "learning_rate": 1.6648948463138436e-05, + "loss": 1.154, + "step": 7250 + }, + { + "epoch": 0.84, + "learning_rate": 1.6644326323087592e-05, + "loss": 1.1241, + "step": 7260 + }, + { + "epoch": 0.84, + "learning_rate": 1.6639704183036746e-05, + "loss": 1.0387, + "step": 7270 + }, + { + "epoch": 0.84, + "learning_rate": 1.6635082042985902e-05, + "loss": 1.1142, + "step": 7280 + }, + { + "epoch": 0.84, + "learning_rate": 1.6630459902935062e-05, + "loss": 1.1383, + "step": 7290 + }, + { + "epoch": 0.84, + "learning_rate": 1.6625837762884216e-05, + "loss": 0.8875, + "step": 7300 + }, + { + "epoch": 0.84, + "learning_rate": 1.6621215622833372e-05, + "loss": 0.8456, + "step": 7310 + }, + { + "epoch": 0.85, + "learning_rate": 1.661659348278253e-05, + "loss": 1.1513, + "step": 7320 + }, + { + "epoch": 0.85, + "learning_rate": 1.6611971342731686e-05, + "loss": 1.0892, + "step": 7330 + }, + { + "epoch": 0.85, + "learning_rate": 1.6607349202680842e-05, + "loss": 1.188, + "step": 7340 + }, + { + "epoch": 0.85, + "learning_rate": 1.660272706263e-05, + "loss": 1.1787, + "step": 7350 + }, + { + "epoch": 0.85, + "learning_rate": 1.6598104922579156e-05, + "loss": 1.0492, + "step": 7360 + }, + { + "epoch": 0.85, + "learning_rate": 1.6593482782528312e-05, + "loss": 1.2088, + "step": 7370 + }, + { + "epoch": 0.85, + "learning_rate": 1.658886064247747e-05, + "loss": 1.0627, + "step": 7380 + }, + { + "epoch": 0.85, + "learning_rate": 1.6584238502426626e-05, + "loss": 1.1533, + "step": 7390 + }, + { + "epoch": 0.86, + "learning_rate": 1.6579616362375782e-05, + "loss": 0.9313, + "step": 7400 + }, + { + "epoch": 0.86, + "learning_rate": 1.657499422232494e-05, + "loss": 1.0283, + "step": 7410 + }, + { + "epoch": 0.86, + "learning_rate": 1.6570372082274092e-05, + "loss": 1.1645, + "step": 7420 + }, + { + "epoch": 0.86, + "learning_rate": 1.656574994222325e-05, + "loss": 1.1208, + "step": 7430 + }, + { + "epoch": 0.86, + "learning_rate": 1.656112780217241e-05, + "loss": 1.1293, + "step": 7440 + }, + { + "epoch": 0.86, + "learning_rate": 1.6556505662121566e-05, + "loss": 1.2313, + "step": 7450 + }, + { + "epoch": 0.86, + "learning_rate": 1.655188352207072e-05, + "loss": 1.3014, + "step": 7460 + }, + { + "epoch": 0.86, + "learning_rate": 1.6547261382019875e-05, + "loss": 1.0779, + "step": 7470 + }, + { + "epoch": 0.86, + "learning_rate": 1.6542639241969036e-05, + "loss": 1.096, + "step": 7480 + }, + { + "epoch": 0.87, + "learning_rate": 1.653801710191819e-05, + "loss": 0.8675, + "step": 7490 + }, + { + "epoch": 0.87, + "learning_rate": 1.6533394961867345e-05, + "loss": 1.0504, + "step": 7500 + }, + { + "epoch": 0.87, + "learning_rate": 1.6528772821816502e-05, + "loss": 0.973, + "step": 7510 + }, + { + "epoch": 0.87, + "learning_rate": 1.652415068176566e-05, + "loss": 1.2366, + "step": 7520 + }, + { + "epoch": 0.87, + "learning_rate": 1.6519528541714815e-05, + "loss": 1.0136, + "step": 7530 + }, + { + "epoch": 0.87, + "learning_rate": 1.6514906401663972e-05, + "loss": 1.1407, + "step": 7540 + }, + { + "epoch": 0.87, + "learning_rate": 1.651028426161313e-05, + "loss": 0.9733, + "step": 7550 + }, + { + "epoch": 0.87, + "learning_rate": 1.6505662121562285e-05, + "loss": 1.2175, + "step": 7560 + }, + { + "epoch": 0.87, + "learning_rate": 1.6501039981511442e-05, + "loss": 0.9284, + "step": 7570 + }, + { + "epoch": 0.88, + "learning_rate": 1.6496417841460595e-05, + "loss": 0.9219, + "step": 7580 + }, + { + "epoch": 0.88, + "learning_rate": 1.6491795701409755e-05, + "loss": 1.1998, + "step": 7590 + }, + { + "epoch": 0.88, + "learning_rate": 1.6487173561358912e-05, + "loss": 1.1432, + "step": 7600 + }, + { + "epoch": 0.88, + "learning_rate": 1.6482551421308065e-05, + "loss": 0.8463, + "step": 7610 + }, + { + "epoch": 0.88, + "learning_rate": 1.6477929281257222e-05, + "loss": 0.7653, + "step": 7620 + }, + { + "epoch": 0.88, + "learning_rate": 1.6473307141206382e-05, + "loss": 1.1716, + "step": 7630 + }, + { + "epoch": 0.88, + "learning_rate": 1.6468685001155535e-05, + "loss": 1.0687, + "step": 7640 + }, + { + "epoch": 0.88, + "learning_rate": 1.6464062861104692e-05, + "loss": 1.1302, + "step": 7650 + }, + { + "epoch": 0.89, + "learning_rate": 1.645944072105385e-05, + "loss": 1.0056, + "step": 7660 + }, + { + "epoch": 0.89, + "learning_rate": 1.6454818581003005e-05, + "loss": 1.1402, + "step": 7670 + }, + { + "epoch": 0.89, + "learning_rate": 1.6450196440952162e-05, + "loss": 1.1238, + "step": 7680 + }, + { + "epoch": 0.89, + "learning_rate": 1.644557430090132e-05, + "loss": 0.8988, + "step": 7690 + }, + { + "epoch": 0.89, + "learning_rate": 1.6440952160850475e-05, + "loss": 0.8145, + "step": 7700 + }, + { + "epoch": 0.89, + "learning_rate": 1.6436330020799632e-05, + "loss": 0.9824, + "step": 7710 + }, + { + "epoch": 0.89, + "learning_rate": 1.643170788074879e-05, + "loss": 1.0846, + "step": 7720 + }, + { + "epoch": 0.89, + "learning_rate": 1.6427085740697945e-05, + "loss": 0.9707, + "step": 7730 + }, + { + "epoch": 0.89, + "learning_rate": 1.6422463600647102e-05, + "loss": 1.024, + "step": 7740 + }, + { + "epoch": 0.9, + "learning_rate": 1.641784146059626e-05, + "loss": 0.9732, + "step": 7750 + }, + { + "epoch": 0.9, + "learning_rate": 1.6413219320545415e-05, + "loss": 0.9594, + "step": 7760 + }, + { + "epoch": 0.9, + "learning_rate": 1.640859718049457e-05, + "loss": 0.8238, + "step": 7770 + }, + { + "epoch": 0.9, + "learning_rate": 1.640397504044373e-05, + "loss": 1.0651, + "step": 7780 + }, + { + "epoch": 0.9, + "learning_rate": 1.6399352900392885e-05, + "loss": 1.1187, + "step": 7790 + }, + { + "epoch": 0.9, + "learning_rate": 1.639473076034204e-05, + "loss": 1.0225, + "step": 7800 + }, + { + "epoch": 0.9, + "learning_rate": 1.6390108620291195e-05, + "loss": 0.9973, + "step": 7810 + }, + { + "epoch": 0.9, + "learning_rate": 1.6385486480240355e-05, + "loss": 0.8651, + "step": 7820 + }, + { + "epoch": 0.9, + "learning_rate": 1.638086434018951e-05, + "loss": 0.9785, + "step": 7830 + }, + { + "epoch": 0.91, + "learning_rate": 1.6376242200138665e-05, + "loss": 1.2037, + "step": 7840 + }, + { + "epoch": 0.91, + "learning_rate": 1.637162006008782e-05, + "loss": 1.0257, + "step": 7850 + }, + { + "epoch": 0.91, + "learning_rate": 1.636699792003698e-05, + "loss": 1.0339, + "step": 7860 + }, + { + "epoch": 0.91, + "learning_rate": 1.6362375779986135e-05, + "loss": 0.9993, + "step": 7870 + }, + { + "epoch": 0.91, + "learning_rate": 1.635775363993529e-05, + "loss": 1.0234, + "step": 7880 + }, + { + "epoch": 0.91, + "learning_rate": 1.6353131499884448e-05, + "loss": 1.1249, + "step": 7890 + }, + { + "epoch": 0.91, + "learning_rate": 1.6348509359833605e-05, + "loss": 1.029, + "step": 7900 + }, + { + "epoch": 0.91, + "learning_rate": 1.634388721978276e-05, + "loss": 1.0881, + "step": 7910 + }, + { + "epoch": 0.92, + "learning_rate": 1.6339265079731915e-05, + "loss": 1.0293, + "step": 7920 + }, + { + "epoch": 0.92, + "learning_rate": 1.6334642939681075e-05, + "loss": 1.1481, + "step": 7930 + }, + { + "epoch": 0.92, + "learning_rate": 1.633002079963023e-05, + "loss": 0.8906, + "step": 7940 + }, + { + "epoch": 0.92, + "learning_rate": 1.6325398659579385e-05, + "loss": 0.9298, + "step": 7950 + }, + { + "epoch": 0.92, + "learning_rate": 1.632077651952854e-05, + "loss": 0.9433, + "step": 7960 + }, + { + "epoch": 0.92, + "learning_rate": 1.63161543794777e-05, + "loss": 1.0904, + "step": 7970 + }, + { + "epoch": 0.92, + "learning_rate": 1.6311532239426855e-05, + "loss": 1.1747, + "step": 7980 + }, + { + "epoch": 0.92, + "learning_rate": 1.630691009937601e-05, + "loss": 0.922, + "step": 7990 + }, + { + "epoch": 0.92, + "learning_rate": 1.6302287959325168e-05, + "loss": 1.0444, + "step": 8000 + }, + { + "epoch": 0.93, + "learning_rate": 1.6297665819274325e-05, + "loss": 1.103, + "step": 8010 + }, + { + "epoch": 0.93, + "learning_rate": 1.629304367922348e-05, + "loss": 0.982, + "step": 8020 + }, + { + "epoch": 0.93, + "learning_rate": 1.6288421539172638e-05, + "loss": 1.0677, + "step": 8030 + }, + { + "epoch": 0.93, + "learning_rate": 1.6283799399121795e-05, + "loss": 0.9627, + "step": 8040 + }, + { + "epoch": 0.93, + "learning_rate": 1.627917725907095e-05, + "loss": 0.9951, + "step": 8050 + }, + { + "epoch": 0.93, + "learning_rate": 1.6274555119020108e-05, + "loss": 1.1865, + "step": 8060 + }, + { + "epoch": 0.93, + "learning_rate": 1.6269932978969265e-05, + "loss": 0.8926, + "step": 8070 + }, + { + "epoch": 0.93, + "learning_rate": 1.626531083891842e-05, + "loss": 0.9363, + "step": 8080 + }, + { + "epoch": 0.93, + "learning_rate": 1.6260688698867578e-05, + "loss": 1.0868, + "step": 8090 + }, + { + "epoch": 0.94, + "learning_rate": 1.6256066558816735e-05, + "loss": 1.0776, + "step": 8100 + }, + { + "epoch": 0.94, + "learning_rate": 1.6251444418765888e-05, + "loss": 0.9474, + "step": 8110 + }, + { + "epoch": 0.94, + "learning_rate": 1.6246822278715048e-05, + "loss": 1.0268, + "step": 8120 + }, + { + "epoch": 0.94, + "learning_rate": 1.6242200138664205e-05, + "loss": 1.018, + "step": 8130 + }, + { + "epoch": 0.94, + "learning_rate": 1.6237577998613358e-05, + "loss": 0.7145, + "step": 8140 + }, + { + "epoch": 0.94, + "learning_rate": 1.6232955858562515e-05, + "loss": 1.0552, + "step": 8150 + }, + { + "epoch": 0.94, + "learning_rate": 1.622833371851167e-05, + "loss": 1.2308, + "step": 8160 + }, + { + "epoch": 0.94, + "learning_rate": 1.6223711578460828e-05, + "loss": 0.9904, + "step": 8170 + }, + { + "epoch": 0.95, + "learning_rate": 1.6219089438409985e-05, + "loss": 1.0721, + "step": 8180 + }, + { + "epoch": 0.95, + "learning_rate": 1.621446729835914e-05, + "loss": 0.7966, + "step": 8190 + }, + { + "epoch": 0.95, + "learning_rate": 1.6209845158308298e-05, + "loss": 0.9334, + "step": 8200 + }, + { + "epoch": 0.95, + "learning_rate": 1.6205223018257455e-05, + "loss": 1.0431, + "step": 8210 + }, + { + "epoch": 0.95, + "learning_rate": 1.620060087820661e-05, + "loss": 1.0555, + "step": 8220 + }, + { + "epoch": 0.95, + "learning_rate": 1.6195978738155768e-05, + "loss": 1.0423, + "step": 8230 + }, + { + "epoch": 0.95, + "learning_rate": 1.6191356598104925e-05, + "loss": 1.035, + "step": 8240 + }, + { + "epoch": 0.95, + "learning_rate": 1.618673445805408e-05, + "loss": 0.948, + "step": 8250 + }, + { + "epoch": 0.95, + "learning_rate": 1.6182112318003234e-05, + "loss": 0.9147, + "step": 8260 + }, + { + "epoch": 0.96, + "learning_rate": 1.6177490177952394e-05, + "loss": 1.0039, + "step": 8270 + }, + { + "epoch": 0.96, + "learning_rate": 1.617286803790155e-05, + "loss": 0.8686, + "step": 8280 + }, + { + "epoch": 0.96, + "learning_rate": 1.6168245897850708e-05, + "loss": 0.9829, + "step": 8290 + }, + { + "epoch": 0.96, + "learning_rate": 1.616362375779986e-05, + "loss": 0.9374, + "step": 8300 + }, + { + "epoch": 0.96, + "learning_rate": 1.615900161774902e-05, + "loss": 1.1601, + "step": 8310 + }, + { + "epoch": 0.96, + "learning_rate": 1.6154379477698178e-05, + "loss": 1.1227, + "step": 8320 + }, + { + "epoch": 0.96, + "learning_rate": 1.614975733764733e-05, + "loss": 1.0984, + "step": 8330 + }, + { + "epoch": 0.96, + "learning_rate": 1.6145135197596488e-05, + "loss": 1.0372, + "step": 8340 + }, + { + "epoch": 0.96, + "learning_rate": 1.6140513057545644e-05, + "loss": 1.0146, + "step": 8350 + }, + { + "epoch": 0.97, + "learning_rate": 1.61358909174948e-05, + "loss": 1.0787, + "step": 8360 + }, + { + "epoch": 0.97, + "learning_rate": 1.6131268777443958e-05, + "loss": 1.3111, + "step": 8370 + }, + { + "epoch": 0.97, + "learning_rate": 1.6126646637393114e-05, + "loss": 1.1747, + "step": 8380 + }, + { + "epoch": 0.97, + "learning_rate": 1.612202449734227e-05, + "loss": 1.0599, + "step": 8390 + }, + { + "epoch": 0.97, + "learning_rate": 1.6117402357291428e-05, + "loss": 1.1701, + "step": 8400 + }, + { + "epoch": 0.97, + "learning_rate": 1.6112780217240584e-05, + "loss": 1.04, + "step": 8410 + }, + { + "epoch": 0.97, + "learning_rate": 1.610815807718974e-05, + "loss": 1.0704, + "step": 8420 + }, + { + "epoch": 0.97, + "learning_rate": 1.6103535937138898e-05, + "loss": 1.0018, + "step": 8430 + }, + { + "epoch": 0.98, + "learning_rate": 1.6098913797088054e-05, + "loss": 0.9551, + "step": 8440 + }, + { + "epoch": 0.98, + "learning_rate": 1.6094291657037208e-05, + "loss": 0.9696, + "step": 8450 + }, + { + "epoch": 0.98, + "learning_rate": 1.6089669516986368e-05, + "loss": 1.0889, + "step": 8460 + }, + { + "epoch": 0.98, + "learning_rate": 1.6085047376935524e-05, + "loss": 1.2406, + "step": 8470 + }, + { + "epoch": 0.98, + "learning_rate": 1.6080425236884678e-05, + "loss": 1.1869, + "step": 8480 + }, + { + "epoch": 0.98, + "learning_rate": 1.6075803096833834e-05, + "loss": 1.022, + "step": 8490 + }, + { + "epoch": 0.98, + "learning_rate": 1.607118095678299e-05, + "loss": 0.9124, + "step": 8500 + }, + { + "epoch": 0.98, + "learning_rate": 1.6066558816732147e-05, + "loss": 0.9698, + "step": 8510 + }, + { + "epoch": 0.98, + "learning_rate": 1.6061936676681304e-05, + "loss": 0.9169, + "step": 8520 + }, + { + "epoch": 0.99, + "learning_rate": 1.605731453663046e-05, + "loss": 1.1044, + "step": 8530 + }, + { + "epoch": 0.99, + "learning_rate": 1.6052692396579617e-05, + "loss": 0.9819, + "step": 8540 + }, + { + "epoch": 0.99, + "learning_rate": 1.6048070256528774e-05, + "loss": 1.149, + "step": 8550 + }, + { + "epoch": 0.99, + "learning_rate": 1.604344811647793e-05, + "loss": 1.2384, + "step": 8560 + }, + { + "epoch": 0.99, + "learning_rate": 1.6038825976427087e-05, + "loss": 1.0797, + "step": 8570 + }, + { + "epoch": 0.99, + "learning_rate": 1.6034203836376244e-05, + "loss": 1.1958, + "step": 8580 + }, + { + "epoch": 0.99, + "learning_rate": 1.60295816963254e-05, + "loss": 1.2108, + "step": 8590 + }, + { + "epoch": 0.99, + "learning_rate": 1.6024959556274557e-05, + "loss": 0.7952, + "step": 8600 + }, + { + "epoch": 0.99, + "learning_rate": 1.6020337416223714e-05, + "loss": 0.9755, + "step": 8610 + }, + { + "epoch": 1.0, + "learning_rate": 1.601571527617287e-05, + "loss": 1.0416, + "step": 8620 + }, + { + "epoch": 1.0, + "learning_rate": 1.6011093136122027e-05, + "loss": 1.2034, + "step": 8630 + }, + { + "epoch": 1.0, + "learning_rate": 1.600647099607118e-05, + "loss": 0.9255, + "step": 8640 + }, + { + "epoch": 1.0, + "learning_rate": 1.6001848856020337e-05, + "loss": 0.9779, + "step": 8650 + }, + { + "epoch": 1.0, + "eval_accuracy": 0.6743062945076532, + "eval_loss": 0.9191309213638306, + "eval_runtime": 364.7598, + "eval_samples_per_second": 33.493, + "eval_steps_per_second": 4.189, + "step": 8654 + }, + { + "epoch": 1.0, + "learning_rate": 1.5997226715969497e-05, + "loss": 1.0775, + "step": 8660 + }, + { + "epoch": 1.0, + "learning_rate": 1.599260457591865e-05, + "loss": 1.0962, + "step": 8670 + }, + { + "epoch": 1.0, + "learning_rate": 1.5987982435867807e-05, + "loss": 0.8082, + "step": 8680 + }, + { + "epoch": 1.0, + "learning_rate": 1.5983360295816964e-05, + "loss": 1.1367, + "step": 8690 + }, + { + "epoch": 1.01, + "learning_rate": 1.597873815576612e-05, + "loss": 0.9168, + "step": 8700 + }, + { + "epoch": 1.01, + "learning_rate": 1.5974116015715277e-05, + "loss": 1.0296, + "step": 8710 + }, + { + "epoch": 1.01, + "learning_rate": 1.5969493875664434e-05, + "loss": 0.7765, + "step": 8720 + }, + { + "epoch": 1.01, + "learning_rate": 1.596487173561359e-05, + "loss": 1.0985, + "step": 8730 + }, + { + "epoch": 1.01, + "learning_rate": 1.5960249595562747e-05, + "loss": 0.8216, + "step": 8740 + }, + { + "epoch": 1.01, + "learning_rate": 1.5955627455511904e-05, + "loss": 1.0874, + "step": 8750 + }, + { + "epoch": 1.01, + "learning_rate": 1.595100531546106e-05, + "loss": 0.8438, + "step": 8760 + }, + { + "epoch": 1.01, + "learning_rate": 1.5946383175410217e-05, + "loss": 0.8097, + "step": 8770 + }, + { + "epoch": 1.01, + "learning_rate": 1.5941761035359374e-05, + "loss": 1.1491, + "step": 8780 + }, + { + "epoch": 1.02, + "learning_rate": 1.5937138895308527e-05, + "loss": 0.8727, + "step": 8790 + }, + { + "epoch": 1.02, + "learning_rate": 1.5932516755257684e-05, + "loss": 0.8972, + "step": 8800 + }, + { + "epoch": 1.02, + "learning_rate": 1.5927894615206844e-05, + "loss": 0.8487, + "step": 8810 + }, + { + "epoch": 1.02, + "learning_rate": 1.5923272475155997e-05, + "loss": 1.0183, + "step": 8820 + }, + { + "epoch": 1.02, + "learning_rate": 1.5918650335105154e-05, + "loss": 0.8829, + "step": 8830 + }, + { + "epoch": 1.02, + "learning_rate": 1.591402819505431e-05, + "loss": 0.9424, + "step": 8840 + }, + { + "epoch": 1.02, + "learning_rate": 1.5909406055003467e-05, + "loss": 0.9508, + "step": 8850 + }, + { + "epoch": 1.02, + "learning_rate": 1.5904783914952624e-05, + "loss": 0.9266, + "step": 8860 + }, + { + "epoch": 1.02, + "learning_rate": 1.590016177490178e-05, + "loss": 0.8597, + "step": 8870 + }, + { + "epoch": 1.03, + "learning_rate": 1.5895539634850937e-05, + "loss": 0.8776, + "step": 8880 + }, + { + "epoch": 1.03, + "learning_rate": 1.5890917494800094e-05, + "loss": 1.0067, + "step": 8890 + }, + { + "epoch": 1.03, + "learning_rate": 1.588629535474925e-05, + "loss": 1.1206, + "step": 8900 + }, + { + "epoch": 1.03, + "learning_rate": 1.5881673214698407e-05, + "loss": 0.8182, + "step": 8910 + }, + { + "epoch": 1.03, + "learning_rate": 1.5877051074647564e-05, + "loss": 1.069, + "step": 8920 + }, + { + "epoch": 1.03, + "learning_rate": 1.587242893459672e-05, + "loss": 1.0043, + "step": 8930 + }, + { + "epoch": 1.03, + "learning_rate": 1.5867806794545877e-05, + "loss": 1.1497, + "step": 8940 + }, + { + "epoch": 1.03, + "learning_rate": 1.586318465449503e-05, + "loss": 0.8443, + "step": 8950 + }, + { + "epoch": 1.04, + "learning_rate": 1.585856251444419e-05, + "loss": 0.7704, + "step": 8960 + }, + { + "epoch": 1.04, + "learning_rate": 1.5853940374393347e-05, + "loss": 1.0611, + "step": 8970 + }, + { + "epoch": 1.04, + "learning_rate": 1.58493182343425e-05, + "loss": 1.0265, + "step": 8980 + }, + { + "epoch": 1.04, + "learning_rate": 1.5844696094291657e-05, + "loss": 0.887, + "step": 8990 + }, + { + "epoch": 1.04, + "learning_rate": 1.5840073954240817e-05, + "loss": 1.0237, + "step": 9000 + }, + { + "epoch": 1.04, + "learning_rate": 1.583545181418997e-05, + "loss": 0.9237, + "step": 9010 + }, + { + "epoch": 1.04, + "learning_rate": 1.5830829674139127e-05, + "loss": 0.9246, + "step": 9020 + }, + { + "epoch": 1.04, + "learning_rate": 1.5826207534088283e-05, + "loss": 1.0137, + "step": 9030 + }, + { + "epoch": 1.04, + "learning_rate": 1.582158539403744e-05, + "loss": 0.8817, + "step": 9040 + }, + { + "epoch": 1.05, + "learning_rate": 1.5816963253986597e-05, + "loss": 1.1537, + "step": 9050 + }, + { + "epoch": 1.05, + "learning_rate": 1.5812341113935753e-05, + "loss": 0.8645, + "step": 9060 + }, + { + "epoch": 1.05, + "learning_rate": 1.580771897388491e-05, + "loss": 1.0768, + "step": 9070 + }, + { + "epoch": 1.05, + "learning_rate": 1.5803096833834067e-05, + "loss": 0.9162, + "step": 9080 + }, + { + "epoch": 1.05, + "learning_rate": 1.5798474693783223e-05, + "loss": 0.827, + "step": 9090 + }, + { + "epoch": 1.05, + "learning_rate": 1.5793852553732377e-05, + "loss": 0.9145, + "step": 9100 + }, + { + "epoch": 1.05, + "learning_rate": 1.5789230413681537e-05, + "loss": 0.7272, + "step": 9110 + }, + { + "epoch": 1.05, + "learning_rate": 1.5784608273630693e-05, + "loss": 1.0242, + "step": 9120 + }, + { + "epoch": 1.06, + "learning_rate": 1.5779986133579847e-05, + "loss": 1.0197, + "step": 9130 + }, + { + "epoch": 1.06, + "learning_rate": 1.5775363993529003e-05, + "loss": 1.1649, + "step": 9140 + }, + { + "epoch": 1.06, + "learning_rate": 1.5770741853478163e-05, + "loss": 0.9219, + "step": 9150 + }, + { + "epoch": 1.06, + "learning_rate": 1.576611971342732e-05, + "loss": 1.0543, + "step": 9160 + }, + { + "epoch": 1.06, + "learning_rate": 1.5761497573376473e-05, + "loss": 1.1068, + "step": 9170 + }, + { + "epoch": 1.06, + "learning_rate": 1.575687543332563e-05, + "loss": 1.0053, + "step": 9180 + }, + { + "epoch": 1.06, + "learning_rate": 1.575225329327479e-05, + "loss": 1.0719, + "step": 9190 + }, + { + "epoch": 1.06, + "learning_rate": 1.5747631153223943e-05, + "loss": 0.8926, + "step": 9200 + }, + { + "epoch": 1.06, + "learning_rate": 1.57430090131731e-05, + "loss": 1.0943, + "step": 9210 + }, + { + "epoch": 1.07, + "learning_rate": 1.5738386873122257e-05, + "loss": 0.704, + "step": 9220 + }, + { + "epoch": 1.07, + "learning_rate": 1.5733764733071413e-05, + "loss": 1.1154, + "step": 9230 + }, + { + "epoch": 1.07, + "learning_rate": 1.572914259302057e-05, + "loss": 1.0977, + "step": 9240 + }, + { + "epoch": 1.07, + "learning_rate": 1.5724520452969727e-05, + "loss": 0.9968, + "step": 9250 + }, + { + "epoch": 1.07, + "learning_rate": 1.5719898312918883e-05, + "loss": 0.9491, + "step": 9260 + }, + { + "epoch": 1.07, + "learning_rate": 1.571527617286804e-05, + "loss": 1.1942, + "step": 9270 + }, + { + "epoch": 1.07, + "learning_rate": 1.5710654032817197e-05, + "loss": 0.9653, + "step": 9280 + }, + { + "epoch": 1.07, + "learning_rate": 1.570603189276635e-05, + "loss": 1.0442, + "step": 9290 + }, + { + "epoch": 1.07, + "learning_rate": 1.570140975271551e-05, + "loss": 1.1489, + "step": 9300 + }, + { + "epoch": 1.08, + "learning_rate": 1.5696787612664666e-05, + "loss": 0.9836, + "step": 9310 + }, + { + "epoch": 1.08, + "learning_rate": 1.569216547261382e-05, + "loss": 0.8024, + "step": 9320 + }, + { + "epoch": 1.08, + "learning_rate": 1.5687543332562976e-05, + "loss": 0.946, + "step": 9330 + }, + { + "epoch": 1.08, + "learning_rate": 1.5682921192512136e-05, + "loss": 1.037, + "step": 9340 + }, + { + "epoch": 1.08, + "learning_rate": 1.567829905246129e-05, + "loss": 1.0684, + "step": 9350 + }, + { + "epoch": 1.08, + "learning_rate": 1.5673676912410446e-05, + "loss": 1.0922, + "step": 9360 + }, + { + "epoch": 1.08, + "learning_rate": 1.5669054772359603e-05, + "loss": 1.2742, + "step": 9370 + }, + { + "epoch": 1.08, + "learning_rate": 1.566443263230876e-05, + "loss": 0.9406, + "step": 9380 + }, + { + "epoch": 1.09, + "learning_rate": 1.5659810492257916e-05, + "loss": 0.7354, + "step": 9390 + }, + { + "epoch": 1.09, + "learning_rate": 1.5655188352207073e-05, + "loss": 0.9782, + "step": 9400 + }, + { + "epoch": 1.09, + "learning_rate": 1.565056621215623e-05, + "loss": 1.0088, + "step": 9410 + }, + { + "epoch": 1.09, + "learning_rate": 1.5645944072105386e-05, + "loss": 1.1664, + "step": 9420 + }, + { + "epoch": 1.09, + "learning_rate": 1.5641321932054543e-05, + "loss": 0.9932, + "step": 9430 + }, + { + "epoch": 1.09, + "learning_rate": 1.56366997920037e-05, + "loss": 0.866, + "step": 9440 + }, + { + "epoch": 1.09, + "learning_rate": 1.5632077651952856e-05, + "loss": 0.8588, + "step": 9450 + }, + { + "epoch": 1.09, + "learning_rate": 1.5627455511902013e-05, + "loss": 0.8856, + "step": 9460 + }, + { + "epoch": 1.09, + "learning_rate": 1.562283337185117e-05, + "loss": 1.1369, + "step": 9470 + }, + { + "epoch": 1.1, + "learning_rate": 1.5618211231800323e-05, + "loss": 1.0747, + "step": 9480 + }, + { + "epoch": 1.1, + "learning_rate": 1.5613589091749483e-05, + "loss": 1.0275, + "step": 9490 + }, + { + "epoch": 1.1, + "learning_rate": 1.560896695169864e-05, + "loss": 0.9178, + "step": 9500 + }, + { + "epoch": 1.1, + "learning_rate": 1.5604344811647793e-05, + "loss": 1.062, + "step": 9510 + }, + { + "epoch": 1.1, + "learning_rate": 1.559972267159695e-05, + "loss": 0.9609, + "step": 9520 + }, + { + "epoch": 1.1, + "learning_rate": 1.559510053154611e-05, + "loss": 1.08, + "step": 9530 + }, + { + "epoch": 1.1, + "learning_rate": 1.5590478391495263e-05, + "loss": 0.9288, + "step": 9540 + }, + { + "epoch": 1.1, + "learning_rate": 1.558585625144442e-05, + "loss": 0.8439, + "step": 9550 + }, + { + "epoch": 1.1, + "learning_rate": 1.5581234111393576e-05, + "loss": 0.945, + "step": 9560 + }, + { + "epoch": 1.11, + "learning_rate": 1.5576611971342733e-05, + "loss": 1.0991, + "step": 9570 + }, + { + "epoch": 1.11, + "learning_rate": 1.557198983129189e-05, + "loss": 1.0151, + "step": 9580 + }, + { + "epoch": 1.11, + "learning_rate": 1.5567367691241046e-05, + "loss": 1.2526, + "step": 9590 + }, + { + "epoch": 1.11, + "learning_rate": 1.5562745551190203e-05, + "loss": 1.0941, + "step": 9600 + }, + { + "epoch": 1.11, + "learning_rate": 1.555812341113936e-05, + "loss": 1.2226, + "step": 9610 + }, + { + "epoch": 1.11, + "learning_rate": 1.5553501271088516e-05, + "loss": 0.8771, + "step": 9620 + }, + { + "epoch": 1.11, + "learning_rate": 1.554887913103767e-05, + "loss": 0.9892, + "step": 9630 + }, + { + "epoch": 1.11, + "learning_rate": 1.554425699098683e-05, + "loss": 1.0761, + "step": 9640 + }, + { + "epoch": 1.12, + "learning_rate": 1.5539634850935986e-05, + "loss": 1.1765, + "step": 9650 + }, + { + "epoch": 1.12, + "learning_rate": 1.553501271088514e-05, + "loss": 0.9622, + "step": 9660 + }, + { + "epoch": 1.12, + "learning_rate": 1.5530390570834296e-05, + "loss": 1.0357, + "step": 9670 + }, + { + "epoch": 1.12, + "learning_rate": 1.5525768430783456e-05, + "loss": 0.8497, + "step": 9680 + }, + { + "epoch": 1.12, + "learning_rate": 1.552114629073261e-05, + "loss": 0.8819, + "step": 9690 + }, + { + "epoch": 1.12, + "learning_rate": 1.5516524150681766e-05, + "loss": 0.9315, + "step": 9700 + }, + { + "epoch": 1.12, + "learning_rate": 1.5511902010630923e-05, + "loss": 1.0813, + "step": 9710 + }, + { + "epoch": 1.12, + "learning_rate": 1.550727987058008e-05, + "loss": 1.0204, + "step": 9720 + }, + { + "epoch": 1.12, + "learning_rate": 1.5502657730529236e-05, + "loss": 1.0275, + "step": 9730 + }, + { + "epoch": 1.13, + "learning_rate": 1.5498035590478393e-05, + "loss": 1.0404, + "step": 9740 + }, + { + "epoch": 1.13, + "learning_rate": 1.549341345042755e-05, + "loss": 1.087, + "step": 9750 + }, + { + "epoch": 1.13, + "learning_rate": 1.5488791310376706e-05, + "loss": 0.8796, + "step": 9760 + }, + { + "epoch": 1.13, + "learning_rate": 1.5484169170325863e-05, + "loss": 0.8488, + "step": 9770 + }, + { + "epoch": 1.13, + "learning_rate": 1.547954703027502e-05, + "loss": 0.851, + "step": 9780 + }, + { + "epoch": 1.13, + "learning_rate": 1.5474924890224176e-05, + "loss": 0.9883, + "step": 9790 + }, + { + "epoch": 1.13, + "learning_rate": 1.5470302750173333e-05, + "loss": 0.8628, + "step": 9800 + }, + { + "epoch": 1.13, + "learning_rate": 1.546568061012249e-05, + "loss": 0.9253, + "step": 9810 + }, + { + "epoch": 1.13, + "learning_rate": 1.5461058470071642e-05, + "loss": 1.0636, + "step": 9820 + }, + { + "epoch": 1.14, + "learning_rate": 1.5456436330020803e-05, + "loss": 1.0681, + "step": 9830 + }, + { + "epoch": 1.14, + "learning_rate": 1.545181418996996e-05, + "loss": 0.978, + "step": 9840 + }, + { + "epoch": 1.14, + "learning_rate": 1.5447192049919112e-05, + "loss": 1.0017, + "step": 9850 + }, + { + "epoch": 1.14, + "learning_rate": 1.544256990986827e-05, + "loss": 1.0162, + "step": 9860 + }, + { + "epoch": 1.14, + "learning_rate": 1.5437947769817426e-05, + "loss": 0.8776, + "step": 9870 + }, + { + "epoch": 1.14, + "learning_rate": 1.5433325629766582e-05, + "loss": 1.1119, + "step": 9880 + }, + { + "epoch": 1.14, + "learning_rate": 1.542870348971574e-05, + "loss": 0.7713, + "step": 9890 + }, + { + "epoch": 1.14, + "learning_rate": 1.5424081349664896e-05, + "loss": 0.8814, + "step": 9900 + }, + { + "epoch": 1.15, + "learning_rate": 1.5419459209614052e-05, + "loss": 1.2732, + "step": 9910 + }, + { + "epoch": 1.15, + "learning_rate": 1.541483706956321e-05, + "loss": 1.0034, + "step": 9920 + }, + { + "epoch": 1.15, + "learning_rate": 1.5410214929512366e-05, + "loss": 1.0679, + "step": 9930 + }, + { + "epoch": 1.15, + "learning_rate": 1.5405592789461522e-05, + "loss": 0.9341, + "step": 9940 + }, + { + "epoch": 1.15, + "learning_rate": 1.540097064941068e-05, + "loss": 1.0323, + "step": 9950 + }, + { + "epoch": 1.15, + "learning_rate": 1.5396348509359836e-05, + "loss": 1.0457, + "step": 9960 + }, + { + "epoch": 1.15, + "learning_rate": 1.539172636930899e-05, + "loss": 0.947, + "step": 9970 + }, + { + "epoch": 1.15, + "learning_rate": 1.538710422925815e-05, + "loss": 0.9611, + "step": 9980 + }, + { + "epoch": 1.15, + "learning_rate": 1.5382482089207306e-05, + "loss": 0.8029, + "step": 9990 + }, + { + "epoch": 1.16, + "learning_rate": 1.5377859949156462e-05, + "loss": 0.9125, + "step": 10000 + }, + { + "epoch": 1.16, + "learning_rate": 1.5373237809105616e-05, + "loss": 1.084, + "step": 10010 + }, + { + "epoch": 1.16, + "learning_rate": 1.5368615669054772e-05, + "loss": 0.9954, + "step": 10020 + }, + { + "epoch": 1.16, + "learning_rate": 1.5363993529003932e-05, + "loss": 1.1712, + "step": 10030 + }, + { + "epoch": 1.16, + "learning_rate": 1.5359371388953086e-05, + "loss": 1.0646, + "step": 10040 + }, + { + "epoch": 1.16, + "learning_rate": 1.5354749248902242e-05, + "loss": 0.9446, + "step": 10050 + }, + { + "epoch": 1.16, + "learning_rate": 1.53501271088514e-05, + "loss": 1.2355, + "step": 10060 + }, + { + "epoch": 1.16, + "learning_rate": 1.5345504968800556e-05, + "loss": 0.9874, + "step": 10070 + }, + { + "epoch": 1.16, + "learning_rate": 1.5340882828749712e-05, + "loss": 0.8092, + "step": 10080 + }, + { + "epoch": 1.17, + "learning_rate": 1.533626068869887e-05, + "loss": 1.1097, + "step": 10090 + }, + { + "epoch": 1.17, + "learning_rate": 1.5331638548648025e-05, + "loss": 1.0249, + "step": 10100 + }, + { + "epoch": 1.17, + "learning_rate": 1.5327016408597182e-05, + "loss": 0.729, + "step": 10110 + }, + { + "epoch": 1.17, + "learning_rate": 1.532239426854634e-05, + "loss": 0.9743, + "step": 10120 + }, + { + "epoch": 1.17, + "learning_rate": 1.5317772128495495e-05, + "loss": 0.9493, + "step": 10130 + }, + { + "epoch": 1.17, + "learning_rate": 1.5313149988444652e-05, + "loss": 0.9619, + "step": 10140 + }, + { + "epoch": 1.17, + "learning_rate": 1.530852784839381e-05, + "loss": 0.9141, + "step": 10150 + }, + { + "epoch": 1.17, + "learning_rate": 1.5303905708342962e-05, + "loss": 1.0066, + "step": 10160 + }, + { + "epoch": 1.18, + "learning_rate": 1.529928356829212e-05, + "loss": 0.787, + "step": 10170 + }, + { + "epoch": 1.18, + "learning_rate": 1.529466142824128e-05, + "loss": 1.0846, + "step": 10180 + }, + { + "epoch": 1.18, + "learning_rate": 1.5290039288190432e-05, + "loss": 0.897, + "step": 10190 + }, + { + "epoch": 1.18, + "learning_rate": 1.528541714813959e-05, + "loss": 0.8513, + "step": 10200 + }, + { + "epoch": 1.18, + "learning_rate": 1.5280795008088745e-05, + "loss": 0.9586, + "step": 10210 + }, + { + "epoch": 1.18, + "learning_rate": 1.5276172868037902e-05, + "loss": 0.9526, + "step": 10220 + }, + { + "epoch": 1.18, + "learning_rate": 1.527155072798706e-05, + "loss": 1.1779, + "step": 10230 + }, + { + "epoch": 1.18, + "learning_rate": 1.5266928587936215e-05, + "loss": 1.0145, + "step": 10240 + }, + { + "epoch": 1.18, + "learning_rate": 1.5262306447885372e-05, + "loss": 1.3035, + "step": 10250 + }, + { + "epoch": 1.19, + "learning_rate": 1.5257684307834529e-05, + "loss": 1.054, + "step": 10260 + }, + { + "epoch": 1.19, + "learning_rate": 1.5253062167783685e-05, + "loss": 0.8731, + "step": 10270 + }, + { + "epoch": 1.19, + "learning_rate": 1.5248440027732842e-05, + "loss": 1.2764, + "step": 10280 + }, + { + "epoch": 1.19, + "learning_rate": 1.5243817887681997e-05, + "loss": 0.9729, + "step": 10290 + }, + { + "epoch": 1.19, + "learning_rate": 1.5239195747631155e-05, + "loss": 1.3819, + "step": 10300 + }, + { + "epoch": 1.19, + "learning_rate": 1.5234573607580312e-05, + "loss": 0.9208, + "step": 10310 + }, + { + "epoch": 1.19, + "learning_rate": 1.5229951467529467e-05, + "loss": 1.0151, + "step": 10320 + }, + { + "epoch": 1.19, + "learning_rate": 1.5225329327478624e-05, + "loss": 0.9136, + "step": 10330 + }, + { + "epoch": 1.19, + "learning_rate": 1.5220707187427782e-05, + "loss": 0.8396, + "step": 10340 + }, + { + "epoch": 1.2, + "learning_rate": 1.5216085047376937e-05, + "loss": 1.0763, + "step": 10350 + }, + { + "epoch": 1.2, + "learning_rate": 1.5211462907326093e-05, + "loss": 1.0323, + "step": 10360 + }, + { + "epoch": 1.2, + "learning_rate": 1.520684076727525e-05, + "loss": 0.9772, + "step": 10370 + }, + { + "epoch": 1.2, + "learning_rate": 1.5202218627224405e-05, + "loss": 1.053, + "step": 10380 + }, + { + "epoch": 1.2, + "learning_rate": 1.5197596487173563e-05, + "loss": 1.0057, + "step": 10390 + }, + { + "epoch": 1.2, + "learning_rate": 1.519297434712272e-05, + "loss": 0.9191, + "step": 10400 + }, + { + "epoch": 1.2, + "learning_rate": 1.5188352207071875e-05, + "loss": 0.7753, + "step": 10410 + }, + { + "epoch": 1.2, + "learning_rate": 1.5183730067021032e-05, + "loss": 0.9107, + "step": 10420 + }, + { + "epoch": 1.21, + "learning_rate": 1.5179107926970188e-05, + "loss": 0.8146, + "step": 10430 + }, + { + "epoch": 1.21, + "learning_rate": 1.5174485786919343e-05, + "loss": 0.9178, + "step": 10440 + }, + { + "epoch": 1.21, + "learning_rate": 1.5169863646868502e-05, + "loss": 0.9518, + "step": 10450 + }, + { + "epoch": 1.21, + "learning_rate": 1.5165241506817658e-05, + "loss": 1.2761, + "step": 10460 + }, + { + "epoch": 1.21, + "learning_rate": 1.5160619366766813e-05, + "loss": 0.9215, + "step": 10470 + }, + { + "epoch": 1.21, + "learning_rate": 1.515599722671597e-05, + "loss": 0.9759, + "step": 10480 + }, + { + "epoch": 1.21, + "learning_rate": 1.5151375086665128e-05, + "loss": 0.985, + "step": 10490 + }, + { + "epoch": 1.21, + "learning_rate": 1.5146752946614283e-05, + "loss": 0.9565, + "step": 10500 + }, + { + "epoch": 1.21, + "learning_rate": 1.514213080656344e-05, + "loss": 1.0607, + "step": 10510 + }, + { + "epoch": 1.22, + "learning_rate": 1.5137508666512597e-05, + "loss": 0.8761, + "step": 10520 + }, + { + "epoch": 1.22, + "learning_rate": 1.5132886526461752e-05, + "loss": 1.1379, + "step": 10530 + }, + { + "epoch": 1.22, + "learning_rate": 1.512826438641091e-05, + "loss": 0.8514, + "step": 10540 + }, + { + "epoch": 1.22, + "learning_rate": 1.5123642246360067e-05, + "loss": 1.1785, + "step": 10550 + }, + { + "epoch": 1.22, + "learning_rate": 1.5119020106309223e-05, + "loss": 1.1003, + "step": 10560 + }, + { + "epoch": 1.22, + "learning_rate": 1.5114397966258378e-05, + "loss": 1.0278, + "step": 10570 + }, + { + "epoch": 1.22, + "learning_rate": 1.5109775826207535e-05, + "loss": 0.8454, + "step": 10580 + }, + { + "epoch": 1.22, + "learning_rate": 1.5105153686156693e-05, + "loss": 1.0262, + "step": 10590 + }, + { + "epoch": 1.22, + "learning_rate": 1.5100531546105848e-05, + "loss": 1.1937, + "step": 10600 + }, + { + "epoch": 1.23, + "learning_rate": 1.5095909406055005e-05, + "loss": 0.9366, + "step": 10610 + }, + { + "epoch": 1.23, + "learning_rate": 1.5091287266004161e-05, + "loss": 1.0213, + "step": 10620 + }, + { + "epoch": 1.23, + "learning_rate": 1.5086665125953316e-05, + "loss": 0.9693, + "step": 10630 + }, + { + "epoch": 1.23, + "learning_rate": 1.5082042985902475e-05, + "loss": 1.0623, + "step": 10640 + }, + { + "epoch": 1.23, + "learning_rate": 1.5077420845851631e-05, + "loss": 0.9666, + "step": 10650 + }, + { + "epoch": 1.23, + "learning_rate": 1.5072798705800786e-05, + "loss": 0.7772, + "step": 10660 + }, + { + "epoch": 1.23, + "learning_rate": 1.5068176565749943e-05, + "loss": 0.9408, + "step": 10670 + }, + { + "epoch": 1.23, + "learning_rate": 1.5063554425699101e-05, + "loss": 0.9641, + "step": 10680 + }, + { + "epoch": 1.24, + "learning_rate": 1.5058932285648256e-05, + "loss": 1.2113, + "step": 10690 + }, + { + "epoch": 1.24, + "learning_rate": 1.5054310145597413e-05, + "loss": 0.9688, + "step": 10700 + }, + { + "epoch": 1.24, + "learning_rate": 1.504968800554657e-05, + "loss": 0.9585, + "step": 10710 + }, + { + "epoch": 1.24, + "learning_rate": 1.5045065865495725e-05, + "loss": 1.063, + "step": 10720 + }, + { + "epoch": 1.24, + "learning_rate": 1.5040443725444881e-05, + "loss": 1.0069, + "step": 10730 + }, + { + "epoch": 1.24, + "learning_rate": 1.503582158539404e-05, + "loss": 1.0296, + "step": 10740 + }, + { + "epoch": 1.24, + "learning_rate": 1.5031199445343195e-05, + "loss": 1.0953, + "step": 10750 + }, + { + "epoch": 1.24, + "learning_rate": 1.5026577305292351e-05, + "loss": 0.9676, + "step": 10760 + }, + { + "epoch": 1.24, + "learning_rate": 1.5021955165241508e-05, + "loss": 0.8617, + "step": 10770 + }, + { + "epoch": 1.25, + "learning_rate": 1.5017333025190663e-05, + "loss": 0.8331, + "step": 10780 + }, + { + "epoch": 1.25, + "learning_rate": 1.5012710885139821e-05, + "loss": 0.9991, + "step": 10790 + }, + { + "epoch": 1.25, + "learning_rate": 1.5008088745088978e-05, + "loss": 0.8967, + "step": 10800 + }, + { + "epoch": 1.25, + "learning_rate": 1.5003466605038133e-05, + "loss": 1.1451, + "step": 10810 + }, + { + "epoch": 1.25, + "learning_rate": 1.499884446498729e-05, + "loss": 0.9227, + "step": 10820 + }, + { + "epoch": 1.25, + "learning_rate": 1.4994222324936448e-05, + "loss": 0.9758, + "step": 10830 + }, + { + "epoch": 1.25, + "learning_rate": 1.4989600184885605e-05, + "loss": 1.1239, + "step": 10840 + }, + { + "epoch": 1.25, + "learning_rate": 1.498497804483476e-05, + "loss": 1.0926, + "step": 10850 + }, + { + "epoch": 1.25, + "learning_rate": 1.4980355904783916e-05, + "loss": 0.9059, + "step": 10860 + }, + { + "epoch": 1.26, + "learning_rate": 1.4975733764733073e-05, + "loss": 0.8824, + "step": 10870 + }, + { + "epoch": 1.26, + "learning_rate": 1.4971111624682228e-05, + "loss": 0.9551, + "step": 10880 + }, + { + "epoch": 1.26, + "learning_rate": 1.4966489484631386e-05, + "loss": 1.1899, + "step": 10890 + }, + { + "epoch": 1.26, + "learning_rate": 1.4961867344580543e-05, + "loss": 0.8901, + "step": 10900 + }, + { + "epoch": 1.26, + "learning_rate": 1.4957245204529698e-05, + "loss": 0.9535, + "step": 10910 + }, + { + "epoch": 1.26, + "learning_rate": 1.4952623064478854e-05, + "loss": 0.9512, + "step": 10920 + }, + { + "epoch": 1.26, + "learning_rate": 1.4948000924428013e-05, + "loss": 0.8077, + "step": 10930 + }, + { + "epoch": 1.26, + "learning_rate": 1.4943378784377168e-05, + "loss": 0.8499, + "step": 10940 + }, + { + "epoch": 1.27, + "learning_rate": 1.4938756644326324e-05, + "loss": 1.2961, + "step": 10950 + }, + { + "epoch": 1.27, + "learning_rate": 1.4934134504275481e-05, + "loss": 1.0772, + "step": 10960 + }, + { + "epoch": 1.27, + "learning_rate": 1.4929512364224636e-05, + "loss": 1.0519, + "step": 10970 + }, + { + "epoch": 1.27, + "learning_rate": 1.4924890224173794e-05, + "loss": 1.0236, + "step": 10980 + }, + { + "epoch": 1.27, + "learning_rate": 1.4920268084122951e-05, + "loss": 1.0489, + "step": 10990 + }, + { + "epoch": 1.27, + "learning_rate": 1.4915645944072106e-05, + "loss": 0.9161, + "step": 11000 + }, + { + "epoch": 1.27, + "learning_rate": 1.4911023804021263e-05, + "loss": 0.9967, + "step": 11010 + }, + { + "epoch": 1.27, + "learning_rate": 1.490640166397042e-05, + "loss": 0.9961, + "step": 11020 + }, + { + "epoch": 1.27, + "learning_rate": 1.4901779523919574e-05, + "loss": 0.9115, + "step": 11030 + }, + { + "epoch": 1.28, + "learning_rate": 1.4897157383868733e-05, + "loss": 0.9952, + "step": 11040 + }, + { + "epoch": 1.28, + "learning_rate": 1.489253524381789e-05, + "loss": 0.9308, + "step": 11050 + }, + { + "epoch": 1.28, + "learning_rate": 1.4887913103767044e-05, + "loss": 1.0123, + "step": 11060 + }, + { + "epoch": 1.28, + "learning_rate": 1.4883290963716201e-05, + "loss": 1.0204, + "step": 11070 + }, + { + "epoch": 1.28, + "learning_rate": 1.487866882366536e-05, + "loss": 0.8076, + "step": 11080 + }, + { + "epoch": 1.28, + "learning_rate": 1.4874046683614514e-05, + "loss": 0.8308, + "step": 11090 + }, + { + "epoch": 1.28, + "learning_rate": 1.4869424543563671e-05, + "loss": 0.8124, + "step": 11100 + }, + { + "epoch": 1.28, + "learning_rate": 1.4864802403512828e-05, + "loss": 0.8519, + "step": 11110 + }, + { + "epoch": 1.28, + "learning_rate": 1.4860180263461986e-05, + "loss": 0.7837, + "step": 11120 + }, + { + "epoch": 1.29, + "learning_rate": 1.485555812341114e-05, + "loss": 0.9414, + "step": 11130 + }, + { + "epoch": 1.29, + "learning_rate": 1.4850935983360297e-05, + "loss": 1.1679, + "step": 11140 + }, + { + "epoch": 1.29, + "learning_rate": 1.4846313843309454e-05, + "loss": 1.3595, + "step": 11150 + }, + { + "epoch": 1.29, + "learning_rate": 1.4841691703258609e-05, + "loss": 0.8255, + "step": 11160 + }, + { + "epoch": 1.29, + "learning_rate": 1.4837069563207766e-05, + "loss": 0.9988, + "step": 11170 + }, + { + "epoch": 1.29, + "learning_rate": 1.4832447423156924e-05, + "loss": 1.0168, + "step": 11180 + }, + { + "epoch": 1.29, + "learning_rate": 1.4827825283106079e-05, + "loss": 0.7425, + "step": 11190 + }, + { + "epoch": 1.29, + "learning_rate": 1.4823203143055236e-05, + "loss": 1.1047, + "step": 11200 + }, + { + "epoch": 1.3, + "learning_rate": 1.4818581003004392e-05, + "loss": 0.8443, + "step": 11210 + }, + { + "epoch": 1.3, + "learning_rate": 1.4813958862953547e-05, + "loss": 1.1833, + "step": 11220 + }, + { + "epoch": 1.3, + "learning_rate": 1.4809336722902706e-05, + "loss": 0.8754, + "step": 11230 + }, + { + "epoch": 1.3, + "learning_rate": 1.4804714582851862e-05, + "loss": 0.7381, + "step": 11240 + }, + { + "epoch": 1.3, + "learning_rate": 1.4800092442801017e-05, + "loss": 1.0903, + "step": 11250 + }, + { + "epoch": 1.3, + "learning_rate": 1.4795470302750174e-05, + "loss": 0.7856, + "step": 11260 + }, + { + "epoch": 1.3, + "learning_rate": 1.4790848162699332e-05, + "loss": 0.9263, + "step": 11270 + }, + { + "epoch": 1.3, + "learning_rate": 1.4786226022648487e-05, + "loss": 1.052, + "step": 11280 + }, + { + "epoch": 1.3, + "learning_rate": 1.4781603882597644e-05, + "loss": 0.9682, + "step": 11290 + }, + { + "epoch": 1.31, + "learning_rate": 1.47769817425468e-05, + "loss": 0.9812, + "step": 11300 + }, + { + "epoch": 1.31, + "learning_rate": 1.4772359602495956e-05, + "loss": 0.9551, + "step": 11310 + }, + { + "epoch": 1.31, + "learning_rate": 1.4767737462445112e-05, + "loss": 1.0078, + "step": 11320 + }, + { + "epoch": 1.31, + "learning_rate": 1.476311532239427e-05, + "loss": 1.0054, + "step": 11330 + }, + { + "epoch": 1.31, + "learning_rate": 1.4758493182343426e-05, + "loss": 1.0079, + "step": 11340 + }, + { + "epoch": 1.31, + "learning_rate": 1.4753871042292582e-05, + "loss": 1.042, + "step": 11350 + }, + { + "epoch": 1.31, + "learning_rate": 1.4749248902241739e-05, + "loss": 0.8029, + "step": 11360 + }, + { + "epoch": 1.31, + "learning_rate": 1.4744626762190894e-05, + "loss": 0.7557, + "step": 11370 + }, + { + "epoch": 1.31, + "learning_rate": 1.4740004622140052e-05, + "loss": 1.0472, + "step": 11380 + }, + { + "epoch": 1.32, + "learning_rate": 1.4735382482089209e-05, + "loss": 0.9712, + "step": 11390 + }, + { + "epoch": 1.32, + "learning_rate": 1.4730760342038365e-05, + "loss": 0.8649, + "step": 11400 + }, + { + "epoch": 1.32, + "learning_rate": 1.472613820198752e-05, + "loss": 1.0485, + "step": 11410 + }, + { + "epoch": 1.32, + "learning_rate": 1.4721516061936679e-05, + "loss": 1.1004, + "step": 11420 + }, + { + "epoch": 1.32, + "learning_rate": 1.4716893921885835e-05, + "loss": 0.9052, + "step": 11430 + }, + { + "epoch": 1.32, + "learning_rate": 1.471227178183499e-05, + "loss": 0.9219, + "step": 11440 + }, + { + "epoch": 1.32, + "learning_rate": 1.4707649641784147e-05, + "loss": 1.0321, + "step": 11450 + }, + { + "epoch": 1.32, + "learning_rate": 1.4703027501733305e-05, + "loss": 0.9662, + "step": 11460 + }, + { + "epoch": 1.33, + "learning_rate": 1.469840536168246e-05, + "loss": 1.0374, + "step": 11470 + }, + { + "epoch": 1.33, + "learning_rate": 1.4693783221631617e-05, + "loss": 1.162, + "step": 11480 + }, + { + "epoch": 1.33, + "learning_rate": 1.4689161081580774e-05, + "loss": 0.882, + "step": 11490 + }, + { + "epoch": 1.33, + "learning_rate": 1.4684538941529929e-05, + "loss": 1.0923, + "step": 11500 + }, + { + "epoch": 1.33, + "learning_rate": 1.4679916801479085e-05, + "loss": 0.9422, + "step": 11510 + }, + { + "epoch": 1.33, + "learning_rate": 1.4675294661428244e-05, + "loss": 1.0684, + "step": 11520 + }, + { + "epoch": 1.33, + "learning_rate": 1.4670672521377399e-05, + "loss": 1.0826, + "step": 11530 + }, + { + "epoch": 1.33, + "learning_rate": 1.4666050381326555e-05, + "loss": 0.9905, + "step": 11540 + }, + { + "epoch": 1.33, + "learning_rate": 1.4661428241275712e-05, + "loss": 1.0433, + "step": 11550 + }, + { + "epoch": 1.34, + "learning_rate": 1.4656806101224867e-05, + "loss": 1.0038, + "step": 11560 + }, + { + "epoch": 1.34, + "learning_rate": 1.4652183961174025e-05, + "loss": 1.1181, + "step": 11570 + }, + { + "epoch": 1.34, + "learning_rate": 1.4647561821123182e-05, + "loss": 0.8923, + "step": 11580 + }, + { + "epoch": 1.34, + "learning_rate": 1.4642939681072337e-05, + "loss": 1.0653, + "step": 11590 + }, + { + "epoch": 1.34, + "learning_rate": 1.4638317541021494e-05, + "loss": 0.9434, + "step": 11600 + }, + { + "epoch": 1.34, + "learning_rate": 1.4633695400970652e-05, + "loss": 1.058, + "step": 11610 + }, + { + "epoch": 1.34, + "learning_rate": 1.4629073260919807e-05, + "loss": 1.0592, + "step": 11620 + }, + { + "epoch": 1.34, + "learning_rate": 1.4624451120868964e-05, + "loss": 1.0518, + "step": 11630 + }, + { + "epoch": 1.35, + "learning_rate": 1.461982898081812e-05, + "loss": 0.9088, + "step": 11640 + }, + { + "epoch": 1.35, + "learning_rate": 1.4615206840767275e-05, + "loss": 0.9816, + "step": 11650 + }, + { + "epoch": 1.35, + "learning_rate": 1.4610584700716432e-05, + "loss": 0.9416, + "step": 11660 + }, + { + "epoch": 1.35, + "learning_rate": 1.460596256066559e-05, + "loss": 0.9548, + "step": 11670 + }, + { + "epoch": 1.35, + "learning_rate": 1.4601340420614747e-05, + "loss": 0.938, + "step": 11680 + }, + { + "epoch": 1.35, + "learning_rate": 1.4596718280563902e-05, + "loss": 1.0378, + "step": 11690 + }, + { + "epoch": 1.35, + "learning_rate": 1.4592096140513058e-05, + "loss": 1.0393, + "step": 11700 + }, + { + "epoch": 1.35, + "learning_rate": 1.4587474000462217e-05, + "loss": 0.9142, + "step": 11710 + }, + { + "epoch": 1.35, + "learning_rate": 1.4582851860411372e-05, + "loss": 1.0219, + "step": 11720 + }, + { + "epoch": 1.36, + "learning_rate": 1.4578229720360528e-05, + "loss": 0.8601, + "step": 11730 + }, + { + "epoch": 1.36, + "learning_rate": 1.4573607580309685e-05, + "loss": 0.8268, + "step": 11740 + }, + { + "epoch": 1.36, + "learning_rate": 1.456898544025884e-05, + "loss": 1.2248, + "step": 11750 + }, + { + "epoch": 1.36, + "learning_rate": 1.4564363300207998e-05, + "loss": 1.0301, + "step": 11760 + }, + { + "epoch": 1.36, + "learning_rate": 1.4559741160157155e-05, + "loss": 1.0645, + "step": 11770 + }, + { + "epoch": 1.36, + "learning_rate": 1.455511902010631e-05, + "loss": 0.9062, + "step": 11780 + }, + { + "epoch": 1.36, + "learning_rate": 1.4550496880055467e-05, + "loss": 0.9872, + "step": 11790 + }, + { + "epoch": 1.36, + "learning_rate": 1.4545874740004623e-05, + "loss": 0.9582, + "step": 11800 + }, + { + "epoch": 1.36, + "learning_rate": 1.4541252599953778e-05, + "loss": 1.0177, + "step": 11810 + }, + { + "epoch": 1.37, + "learning_rate": 1.4536630459902937e-05, + "loss": 0.9663, + "step": 11820 + }, + { + "epoch": 1.37, + "learning_rate": 1.4532008319852093e-05, + "loss": 0.8469, + "step": 11830 + }, + { + "epoch": 1.37, + "learning_rate": 1.4527386179801248e-05, + "loss": 1.0612, + "step": 11840 + }, + { + "epoch": 1.37, + "learning_rate": 1.4522764039750405e-05, + "loss": 0.8591, + "step": 11850 + }, + { + "epoch": 1.37, + "learning_rate": 1.4518141899699563e-05, + "loss": 0.9398, + "step": 11860 + }, + { + "epoch": 1.37, + "learning_rate": 1.4513519759648718e-05, + "loss": 1.0452, + "step": 11870 + }, + { + "epoch": 1.37, + "learning_rate": 1.4508897619597875e-05, + "loss": 1.0871, + "step": 11880 + }, + { + "epoch": 1.37, + "learning_rate": 1.4504275479547032e-05, + "loss": 0.8888, + "step": 11890 + }, + { + "epoch": 1.38, + "learning_rate": 1.4499653339496186e-05, + "loss": 1.0585, + "step": 11900 + }, + { + "epoch": 1.38, + "learning_rate": 1.4495031199445345e-05, + "loss": 0.8526, + "step": 11910 + }, + { + "epoch": 1.38, + "learning_rate": 1.4490409059394502e-05, + "loss": 0.9001, + "step": 11920 + }, + { + "epoch": 1.38, + "learning_rate": 1.4485786919343656e-05, + "loss": 0.9917, + "step": 11930 + }, + { + "epoch": 1.38, + "learning_rate": 1.4481164779292813e-05, + "loss": 0.9708, + "step": 11940 + }, + { + "epoch": 1.38, + "learning_rate": 1.447654263924197e-05, + "loss": 0.9513, + "step": 11950 + }, + { + "epoch": 1.38, + "learning_rate": 1.4471920499191128e-05, + "loss": 0.9889, + "step": 11960 + }, + { + "epoch": 1.38, + "learning_rate": 1.4467298359140283e-05, + "loss": 0.7781, + "step": 11970 + }, + { + "epoch": 1.38, + "learning_rate": 1.446267621908944e-05, + "loss": 0.9567, + "step": 11980 + }, + { + "epoch": 1.39, + "learning_rate": 1.4458054079038596e-05, + "loss": 0.762, + "step": 11990 + }, + { + "epoch": 1.39, + "learning_rate": 1.4453431938987751e-05, + "loss": 1.0431, + "step": 12000 + }, + { + "epoch": 1.39, + "learning_rate": 1.444880979893691e-05, + "loss": 0.8857, + "step": 12010 + }, + { + "epoch": 1.39, + "learning_rate": 1.4444187658886066e-05, + "loss": 0.8688, + "step": 12020 + }, + { + "epoch": 1.39, + "learning_rate": 1.4439565518835221e-05, + "loss": 1.0304, + "step": 12030 + }, + { + "epoch": 1.39, + "learning_rate": 1.4434943378784378e-05, + "loss": 1.0701, + "step": 12040 + }, + { + "epoch": 1.39, + "learning_rate": 1.4430321238733536e-05, + "loss": 0.9386, + "step": 12050 + }, + { + "epoch": 1.39, + "learning_rate": 1.4425699098682691e-05, + "loss": 0.8658, + "step": 12060 + }, + { + "epoch": 1.39, + "learning_rate": 1.4421076958631848e-05, + "loss": 0.8696, + "step": 12070 + }, + { + "epoch": 1.4, + "learning_rate": 1.4416454818581005e-05, + "loss": 0.9862, + "step": 12080 + }, + { + "epoch": 1.4, + "learning_rate": 1.441183267853016e-05, + "loss": 1.0049, + "step": 12090 + }, + { + "epoch": 1.4, + "learning_rate": 1.4407210538479316e-05, + "loss": 0.9312, + "step": 12100 + }, + { + "epoch": 1.4, + "learning_rate": 1.4402588398428475e-05, + "loss": 1.1013, + "step": 12110 + }, + { + "epoch": 1.4, + "learning_rate": 1.439796625837763e-05, + "loss": 0.8546, + "step": 12120 + }, + { + "epoch": 1.4, + "learning_rate": 1.4393344118326786e-05, + "loss": 1.1044, + "step": 12130 + }, + { + "epoch": 1.4, + "learning_rate": 1.4388721978275943e-05, + "loss": 1.1246, + "step": 12140 + }, + { + "epoch": 1.4, + "learning_rate": 1.4384099838225098e-05, + "loss": 0.7461, + "step": 12150 + }, + { + "epoch": 1.41, + "learning_rate": 1.4379477698174256e-05, + "loss": 1.0628, + "step": 12160 + }, + { + "epoch": 1.41, + "learning_rate": 1.4374855558123413e-05, + "loss": 1.1409, + "step": 12170 + }, + { + "epoch": 1.41, + "learning_rate": 1.4370233418072568e-05, + "loss": 0.8435, + "step": 12180 + }, + { + "epoch": 1.41, + "learning_rate": 1.4365611278021724e-05, + "loss": 0.977, + "step": 12190 + }, + { + "epoch": 1.41, + "learning_rate": 1.4360989137970883e-05, + "loss": 1.0368, + "step": 12200 + }, + { + "epoch": 1.41, + "learning_rate": 1.4356366997920038e-05, + "loss": 0.8651, + "step": 12210 + }, + { + "epoch": 1.41, + "learning_rate": 1.4351744857869194e-05, + "loss": 0.8629, + "step": 12220 + }, + { + "epoch": 1.41, + "learning_rate": 1.4347122717818351e-05, + "loss": 1.1128, + "step": 12230 + }, + { + "epoch": 1.41, + "learning_rate": 1.4342500577767508e-05, + "loss": 1.0261, + "step": 12240 + }, + { + "epoch": 1.42, + "learning_rate": 1.4337878437716663e-05, + "loss": 1.0011, + "step": 12250 + }, + { + "epoch": 1.42, + "learning_rate": 1.4333256297665821e-05, + "loss": 0.9979, + "step": 12260 + }, + { + "epoch": 1.42, + "learning_rate": 1.4328634157614978e-05, + "loss": 0.952, + "step": 12270 + }, + { + "epoch": 1.42, + "learning_rate": 1.4324012017564133e-05, + "loss": 1.2788, + "step": 12280 + }, + { + "epoch": 1.42, + "learning_rate": 1.431938987751329e-05, + "loss": 0.9716, + "step": 12290 + }, + { + "epoch": 1.42, + "learning_rate": 1.4314767737462448e-05, + "loss": 0.9811, + "step": 12300 + }, + { + "epoch": 1.42, + "learning_rate": 1.4310145597411603e-05, + "loss": 0.9437, + "step": 12310 + }, + { + "epoch": 1.42, + "learning_rate": 1.430552345736076e-05, + "loss": 0.8387, + "step": 12320 + }, + { + "epoch": 1.42, + "learning_rate": 1.4300901317309916e-05, + "loss": 0.9143, + "step": 12330 + }, + { + "epoch": 1.43, + "learning_rate": 1.4296279177259071e-05, + "loss": 0.6704, + "step": 12340 + }, + { + "epoch": 1.43, + "learning_rate": 1.429165703720823e-05, + "loss": 0.8004, + "step": 12350 + }, + { + "epoch": 1.43, + "learning_rate": 1.4287034897157386e-05, + "loss": 0.8278, + "step": 12360 + }, + { + "epoch": 1.43, + "learning_rate": 1.4282412757106541e-05, + "loss": 0.9079, + "step": 12370 + }, + { + "epoch": 1.43, + "learning_rate": 1.4277790617055698e-05, + "loss": 0.8253, + "step": 12380 + }, + { + "epoch": 1.43, + "learning_rate": 1.4273168477004856e-05, + "loss": 0.9644, + "step": 12390 + }, + { + "epoch": 1.43, + "learning_rate": 1.426854633695401e-05, + "loss": 1.0033, + "step": 12400 + }, + { + "epoch": 1.43, + "learning_rate": 1.4263924196903168e-05, + "loss": 1.0063, + "step": 12410 + }, + { + "epoch": 1.44, + "learning_rate": 1.4259302056852324e-05, + "loss": 1.2337, + "step": 12420 + }, + { + "epoch": 1.44, + "learning_rate": 1.425467991680148e-05, + "loss": 0.9911, + "step": 12430 + }, + { + "epoch": 1.44, + "learning_rate": 1.4250057776750636e-05, + "loss": 0.9296, + "step": 12440 + }, + { + "epoch": 1.44, + "learning_rate": 1.4245435636699794e-05, + "loss": 1.053, + "step": 12450 + }, + { + "epoch": 1.44, + "learning_rate": 1.4240813496648949e-05, + "loss": 1.0077, + "step": 12460 + }, + { + "epoch": 1.44, + "learning_rate": 1.4236191356598106e-05, + "loss": 0.9427, + "step": 12470 + }, + { + "epoch": 1.44, + "learning_rate": 1.4231569216547262e-05, + "loss": 1.0463, + "step": 12480 + }, + { + "epoch": 1.44, + "learning_rate": 1.4226947076496417e-05, + "loss": 0.8678, + "step": 12490 + }, + { + "epoch": 1.44, + "learning_rate": 1.4222324936445576e-05, + "loss": 0.879, + "step": 12500 + }, + { + "epoch": 1.45, + "learning_rate": 1.4217702796394732e-05, + "loss": 1.0596, + "step": 12510 + }, + { + "epoch": 1.45, + "learning_rate": 1.4213080656343889e-05, + "loss": 0.721, + "step": 12520 + }, + { + "epoch": 1.45, + "learning_rate": 1.4208458516293044e-05, + "loss": 1.0289, + "step": 12530 + }, + { + "epoch": 1.45, + "learning_rate": 1.4203836376242202e-05, + "loss": 0.8252, + "step": 12540 + }, + { + "epoch": 1.45, + "learning_rate": 1.4199214236191359e-05, + "loss": 1.1602, + "step": 12550 + }, + { + "epoch": 1.45, + "learning_rate": 1.4194592096140514e-05, + "loss": 0.7575, + "step": 12560 + }, + { + "epoch": 1.45, + "learning_rate": 1.418996995608967e-05, + "loss": 0.7874, + "step": 12570 + }, + { + "epoch": 1.45, + "learning_rate": 1.4185347816038827e-05, + "loss": 0.9707, + "step": 12580 + }, + { + "epoch": 1.45, + "learning_rate": 1.4180725675987982e-05, + "loss": 1.0439, + "step": 12590 + }, + { + "epoch": 1.46, + "learning_rate": 1.417610353593714e-05, + "loss": 0.7911, + "step": 12600 + }, + { + "epoch": 1.46, + "learning_rate": 1.4171481395886297e-05, + "loss": 0.8945, + "step": 12610 + }, + { + "epoch": 1.46, + "learning_rate": 1.4166859255835452e-05, + "loss": 0.9418, + "step": 12620 + }, + { + "epoch": 1.46, + "learning_rate": 1.4162237115784609e-05, + "loss": 1.0702, + "step": 12630 + }, + { + "epoch": 1.46, + "learning_rate": 1.4157614975733767e-05, + "loss": 0.8369, + "step": 12640 + }, + { + "epoch": 1.46, + "learning_rate": 1.4152992835682922e-05, + "loss": 0.9746, + "step": 12650 + }, + { + "epoch": 1.46, + "learning_rate": 1.4148370695632079e-05, + "loss": 0.9298, + "step": 12660 + }, + { + "epoch": 1.46, + "learning_rate": 1.4143748555581236e-05, + "loss": 1.0635, + "step": 12670 + }, + { + "epoch": 1.47, + "learning_rate": 1.413912641553039e-05, + "loss": 1.0415, + "step": 12680 + }, + { + "epoch": 1.47, + "learning_rate": 1.4134504275479549e-05, + "loss": 0.8033, + "step": 12690 + }, + { + "epoch": 1.47, + "learning_rate": 1.4129882135428706e-05, + "loss": 0.9983, + "step": 12700 + }, + { + "epoch": 1.47, + "learning_rate": 1.412525999537786e-05, + "loss": 1.0192, + "step": 12710 + }, + { + "epoch": 1.47, + "learning_rate": 1.4120637855327017e-05, + "loss": 0.9094, + "step": 12720 + }, + { + "epoch": 1.47, + "learning_rate": 1.4116015715276174e-05, + "loss": 1.0941, + "step": 12730 + }, + { + "epoch": 1.47, + "learning_rate": 1.4111393575225329e-05, + "loss": 0.9847, + "step": 12740 + }, + { + "epoch": 1.47, + "learning_rate": 1.4106771435174487e-05, + "loss": 0.7691, + "step": 12750 + }, + { + "epoch": 1.47, + "learning_rate": 1.4102149295123644e-05, + "loss": 1.0179, + "step": 12760 + }, + { + "epoch": 1.48, + "learning_rate": 1.4097527155072799e-05, + "loss": 0.8985, + "step": 12770 + }, + { + "epoch": 1.48, + "learning_rate": 1.4092905015021955e-05, + "loss": 0.8682, + "step": 12780 + }, + { + "epoch": 1.48, + "learning_rate": 1.4088282874971114e-05, + "loss": 0.7668, + "step": 12790 + }, + { + "epoch": 1.48, + "learning_rate": 1.408366073492027e-05, + "loss": 0.9481, + "step": 12800 + }, + { + "epoch": 1.48, + "learning_rate": 1.4079038594869425e-05, + "loss": 1.0551, + "step": 12810 + }, + { + "epoch": 1.48, + "learning_rate": 1.4074416454818582e-05, + "loss": 1.0996, + "step": 12820 + }, + { + "epoch": 1.48, + "learning_rate": 1.406979431476774e-05, + "loss": 1.0142, + "step": 12830 + }, + { + "epoch": 1.48, + "learning_rate": 1.4065172174716895e-05, + "loss": 0.8044, + "step": 12840 + }, + { + "epoch": 1.48, + "learning_rate": 1.4060550034666052e-05, + "loss": 1.1479, + "step": 12850 + }, + { + "epoch": 1.49, + "learning_rate": 1.4055927894615209e-05, + "loss": 0.9294, + "step": 12860 + }, + { + "epoch": 1.49, + "learning_rate": 1.4051305754564364e-05, + "loss": 0.8662, + "step": 12870 + }, + { + "epoch": 1.49, + "learning_rate": 1.404668361451352e-05, + "loss": 0.9874, + "step": 12880 + }, + { + "epoch": 1.49, + "learning_rate": 1.4042061474462679e-05, + "loss": 0.9288, + "step": 12890 + }, + { + "epoch": 1.49, + "learning_rate": 1.4037439334411834e-05, + "loss": 1.0914, + "step": 12900 + }, + { + "epoch": 1.49, + "learning_rate": 1.403281719436099e-05, + "loss": 0.924, + "step": 12910 + }, + { + "epoch": 1.49, + "learning_rate": 1.4028195054310147e-05, + "loss": 1.0017, + "step": 12920 + }, + { + "epoch": 1.49, + "learning_rate": 1.4023572914259302e-05, + "loss": 1.0276, + "step": 12930 + }, + { + "epoch": 1.5, + "learning_rate": 1.401895077420846e-05, + "loss": 1.253, + "step": 12940 + }, + { + "epoch": 1.5, + "learning_rate": 1.4014328634157617e-05, + "loss": 0.8551, + "step": 12950 + }, + { + "epoch": 1.5, + "learning_rate": 1.4009706494106772e-05, + "loss": 1.2152, + "step": 12960 + }, + { + "epoch": 1.5, + "learning_rate": 1.4005084354055928e-05, + "loss": 0.8197, + "step": 12970 + }, + { + "epoch": 1.5, + "learning_rate": 1.4000462214005087e-05, + "loss": 0.8638, + "step": 12980 + }, + { + "epoch": 1.5, + "learning_rate": 1.3995840073954242e-05, + "loss": 1.0175, + "step": 12990 + }, + { + "epoch": 1.5, + "learning_rate": 1.3991217933903398e-05, + "loss": 0.8506, + "step": 13000 + }, + { + "epoch": 1.5, + "learning_rate": 1.3986595793852555e-05, + "loss": 0.8363, + "step": 13010 + }, + { + "epoch": 1.5, + "learning_rate": 1.398197365380171e-05, + "loss": 1.1258, + "step": 13020 + }, + { + "epoch": 1.51, + "learning_rate": 1.3977351513750867e-05, + "loss": 0.975, + "step": 13030 + }, + { + "epoch": 1.51, + "learning_rate": 1.3972729373700025e-05, + "loss": 1.0422, + "step": 13040 + }, + { + "epoch": 1.51, + "learning_rate": 1.396810723364918e-05, + "loss": 0.958, + "step": 13050 + }, + { + "epoch": 1.51, + "learning_rate": 1.3963485093598337e-05, + "loss": 0.7382, + "step": 13060 + }, + { + "epoch": 1.51, + "learning_rate": 1.3958862953547493e-05, + "loss": 0.7985, + "step": 13070 + }, + { + "epoch": 1.51, + "learning_rate": 1.3954240813496652e-05, + "loss": 1.0844, + "step": 13080 + }, + { + "epoch": 1.51, + "learning_rate": 1.3949618673445807e-05, + "loss": 0.7485, + "step": 13090 + }, + { + "epoch": 1.51, + "learning_rate": 1.3944996533394963e-05, + "loss": 1.1303, + "step": 13100 + }, + { + "epoch": 1.51, + "learning_rate": 1.394037439334412e-05, + "loss": 1.0929, + "step": 13110 + }, + { + "epoch": 1.52, + "learning_rate": 1.3935752253293275e-05, + "loss": 0.8365, + "step": 13120 + }, + { + "epoch": 1.52, + "learning_rate": 1.3931130113242433e-05, + "loss": 0.9691, + "step": 13130 + }, + { + "epoch": 1.52, + "learning_rate": 1.392650797319159e-05, + "loss": 1.0281, + "step": 13140 + }, + { + "epoch": 1.52, + "learning_rate": 1.3921885833140745e-05, + "loss": 1.1541, + "step": 13150 + }, + { + "epoch": 1.52, + "learning_rate": 1.3917263693089902e-05, + "loss": 1.0945, + "step": 13160 + }, + { + "epoch": 1.52, + "learning_rate": 1.3912641553039058e-05, + "loss": 0.8986, + "step": 13170 + }, + { + "epoch": 1.52, + "learning_rate": 1.3908019412988213e-05, + "loss": 0.8195, + "step": 13180 + }, + { + "epoch": 1.52, + "learning_rate": 1.3903397272937372e-05, + "loss": 0.9967, + "step": 13190 + }, + { + "epoch": 1.53, + "learning_rate": 1.3898775132886528e-05, + "loss": 0.8814, + "step": 13200 + }, + { + "epoch": 1.53, + "learning_rate": 1.3894152992835683e-05, + "loss": 1.037, + "step": 13210 + }, + { + "epoch": 1.53, + "learning_rate": 1.388953085278484e-05, + "loss": 0.8045, + "step": 13220 + }, + { + "epoch": 1.53, + "learning_rate": 1.3884908712733998e-05, + "loss": 0.966, + "step": 13230 + }, + { + "epoch": 1.53, + "learning_rate": 1.3880286572683153e-05, + "loss": 1.0152, + "step": 13240 + }, + { + "epoch": 1.53, + "learning_rate": 1.387566443263231e-05, + "loss": 1.0469, + "step": 13250 + }, + { + "epoch": 1.53, + "learning_rate": 1.3871042292581466e-05, + "loss": 0.8645, + "step": 13260 + }, + { + "epoch": 1.53, + "learning_rate": 1.3866420152530621e-05, + "loss": 0.9796, + "step": 13270 + }, + { + "epoch": 1.53, + "learning_rate": 1.386179801247978e-05, + "loss": 0.8448, + "step": 13280 + }, + { + "epoch": 1.54, + "learning_rate": 1.3857175872428936e-05, + "loss": 0.9861, + "step": 13290 + }, + { + "epoch": 1.54, + "learning_rate": 1.3852553732378091e-05, + "loss": 1.1515, + "step": 13300 + }, + { + "epoch": 1.54, + "learning_rate": 1.3847931592327248e-05, + "loss": 1.1197, + "step": 13310 + }, + { + "epoch": 1.54, + "learning_rate": 1.3843309452276405e-05, + "loss": 0.877, + "step": 13320 + }, + { + "epoch": 1.54, + "learning_rate": 1.383868731222556e-05, + "loss": 0.8558, + "step": 13330 + }, + { + "epoch": 1.54, + "learning_rate": 1.3834065172174718e-05, + "loss": 0.8728, + "step": 13340 + }, + { + "epoch": 1.54, + "learning_rate": 1.3829443032123875e-05, + "loss": 0.9648, + "step": 13350 + }, + { + "epoch": 1.54, + "learning_rate": 1.3824820892073031e-05, + "loss": 1.0466, + "step": 13360 + }, + { + "epoch": 1.54, + "learning_rate": 1.3820198752022186e-05, + "loss": 1.0684, + "step": 13370 + }, + { + "epoch": 1.55, + "learning_rate": 1.3815576611971345e-05, + "loss": 0.7109, + "step": 13380 + }, + { + "epoch": 1.55, + "learning_rate": 1.3810954471920501e-05, + "loss": 0.9178, + "step": 13390 + }, + { + "epoch": 1.55, + "learning_rate": 1.3806332331869656e-05, + "loss": 0.9577, + "step": 13400 + }, + { + "epoch": 1.55, + "learning_rate": 1.3801710191818813e-05, + "loss": 0.9842, + "step": 13410 + }, + { + "epoch": 1.55, + "learning_rate": 1.3797088051767971e-05, + "loss": 0.9871, + "step": 13420 + }, + { + "epoch": 1.55, + "learning_rate": 1.3792465911717126e-05, + "loss": 0.9904, + "step": 13430 + }, + { + "epoch": 1.55, + "learning_rate": 1.3787843771666283e-05, + "loss": 0.9244, + "step": 13440 + }, + { + "epoch": 1.55, + "learning_rate": 1.378322163161544e-05, + "loss": 0.9307, + "step": 13450 + }, + { + "epoch": 1.56, + "learning_rate": 1.3778599491564595e-05, + "loss": 0.9572, + "step": 13460 + }, + { + "epoch": 1.56, + "learning_rate": 1.3773977351513753e-05, + "loss": 0.9783, + "step": 13470 + }, + { + "epoch": 1.56, + "learning_rate": 1.376935521146291e-05, + "loss": 0.9214, + "step": 13480 + }, + { + "epoch": 1.56, + "learning_rate": 1.3764733071412064e-05, + "loss": 1.0805, + "step": 13490 + }, + { + "epoch": 1.56, + "learning_rate": 1.3760110931361221e-05, + "loss": 0.998, + "step": 13500 + }, + { + "epoch": 1.56, + "learning_rate": 1.3755488791310378e-05, + "loss": 0.9469, + "step": 13510 + }, + { + "epoch": 1.56, + "learning_rate": 1.3750866651259533e-05, + "loss": 1.1012, + "step": 13520 + }, + { + "epoch": 1.56, + "learning_rate": 1.3746244511208691e-05, + "loss": 1.0108, + "step": 13530 + }, + { + "epoch": 1.56, + "learning_rate": 1.3741622371157848e-05, + "loss": 1.263, + "step": 13540 + }, + { + "epoch": 1.57, + "learning_rate": 1.3737000231107003e-05, + "loss": 0.9464, + "step": 13550 + }, + { + "epoch": 1.57, + "learning_rate": 1.373237809105616e-05, + "loss": 0.977, + "step": 13560 + }, + { + "epoch": 1.57, + "learning_rate": 1.3727755951005318e-05, + "loss": 0.9902, + "step": 13570 + }, + { + "epoch": 1.57, + "learning_rate": 1.3723133810954473e-05, + "loss": 0.9126, + "step": 13580 + }, + { + "epoch": 1.57, + "learning_rate": 1.371851167090363e-05, + "loss": 1.0469, + "step": 13590 + }, + { + "epoch": 1.57, + "learning_rate": 1.3713889530852786e-05, + "loss": 1.1612, + "step": 13600 + }, + { + "epoch": 1.57, + "learning_rate": 1.3709267390801941e-05, + "loss": 0.7741, + "step": 13610 + }, + { + "epoch": 1.57, + "learning_rate": 1.37046452507511e-05, + "loss": 0.8384, + "step": 13620 + }, + { + "epoch": 1.57, + "learning_rate": 1.3700023110700256e-05, + "loss": 0.9364, + "step": 13630 + }, + { + "epoch": 1.58, + "learning_rate": 1.3695400970649413e-05, + "loss": 1.118, + "step": 13640 + }, + { + "epoch": 1.58, + "learning_rate": 1.3690778830598568e-05, + "loss": 1.0652, + "step": 13650 + }, + { + "epoch": 1.58, + "learning_rate": 1.3686156690547724e-05, + "loss": 1.1095, + "step": 13660 + }, + { + "epoch": 1.58, + "learning_rate": 1.3681534550496883e-05, + "loss": 1.0942, + "step": 13670 + }, + { + "epoch": 1.58, + "learning_rate": 1.3676912410446038e-05, + "loss": 1.0526, + "step": 13680 + }, + { + "epoch": 1.58, + "learning_rate": 1.3672290270395194e-05, + "loss": 0.9508, + "step": 13690 + }, + { + "epoch": 1.58, + "learning_rate": 1.3667668130344351e-05, + "loss": 0.8237, + "step": 13700 + }, + { + "epoch": 1.58, + "learning_rate": 1.3663045990293506e-05, + "loss": 0.898, + "step": 13710 + }, + { + "epoch": 1.59, + "learning_rate": 1.3658423850242664e-05, + "loss": 0.8493, + "step": 13720 + }, + { + "epoch": 1.59, + "learning_rate": 1.3653801710191821e-05, + "loss": 0.8054, + "step": 13730 + }, + { + "epoch": 1.59, + "learning_rate": 1.3649179570140976e-05, + "loss": 0.912, + "step": 13740 + }, + { + "epoch": 1.59, + "learning_rate": 1.3644557430090132e-05, + "loss": 0.9517, + "step": 13750 + }, + { + "epoch": 1.59, + "learning_rate": 1.3639935290039291e-05, + "loss": 1.0342, + "step": 13760 + }, + { + "epoch": 1.59, + "learning_rate": 1.3635313149988446e-05, + "loss": 0.8068, + "step": 13770 + }, + { + "epoch": 1.59, + "learning_rate": 1.3630691009937602e-05, + "loss": 0.9485, + "step": 13780 + }, + { + "epoch": 1.59, + "learning_rate": 1.3626068869886759e-05, + "loss": 0.788, + "step": 13790 + }, + { + "epoch": 1.59, + "learning_rate": 1.3621446729835914e-05, + "loss": 0.9772, + "step": 13800 + }, + { + "epoch": 1.6, + "learning_rate": 1.361682458978507e-05, + "loss": 0.8724, + "step": 13810 + }, + { + "epoch": 1.6, + "learning_rate": 1.3612202449734229e-05, + "loss": 1.1166, + "step": 13820 + }, + { + "epoch": 1.6, + "learning_rate": 1.3607580309683384e-05, + "loss": 0.9805, + "step": 13830 + }, + { + "epoch": 1.6, + "learning_rate": 1.360295816963254e-05, + "loss": 1.0056, + "step": 13840 + }, + { + "epoch": 1.6, + "learning_rate": 1.3598336029581697e-05, + "loss": 0.9986, + "step": 13850 + }, + { + "epoch": 1.6, + "learning_rate": 1.3593713889530852e-05, + "loss": 0.8805, + "step": 13860 + }, + { + "epoch": 1.6, + "learning_rate": 1.358909174948001e-05, + "loss": 0.8797, + "step": 13870 + }, + { + "epoch": 1.6, + "learning_rate": 1.3584469609429167e-05, + "loss": 1.1309, + "step": 13880 + }, + { + "epoch": 1.61, + "learning_rate": 1.3579847469378322e-05, + "loss": 1.0029, + "step": 13890 + }, + { + "epoch": 1.61, + "learning_rate": 1.3575225329327479e-05, + "loss": 0.8018, + "step": 13900 + }, + { + "epoch": 1.61, + "learning_rate": 1.3570603189276637e-05, + "loss": 0.8749, + "step": 13910 + }, + { + "epoch": 1.61, + "learning_rate": 1.3565981049225794e-05, + "loss": 0.955, + "step": 13920 + }, + { + "epoch": 1.61, + "learning_rate": 1.3561358909174949e-05, + "loss": 1.0201, + "step": 13930 + }, + { + "epoch": 1.61, + "learning_rate": 1.3556736769124106e-05, + "loss": 0.9343, + "step": 13940 + }, + { + "epoch": 1.61, + "learning_rate": 1.3552114629073262e-05, + "loss": 0.9531, + "step": 13950 + }, + { + "epoch": 1.61, + "learning_rate": 1.3547492489022417e-05, + "loss": 1.0455, + "step": 13960 + }, + { + "epoch": 1.61, + "learning_rate": 1.3542870348971576e-05, + "loss": 0.9352, + "step": 13970 + }, + { + "epoch": 1.62, + "learning_rate": 1.3538248208920732e-05, + "loss": 0.8862, + "step": 13980 + }, + { + "epoch": 1.62, + "learning_rate": 1.3533626068869887e-05, + "loss": 0.8654, + "step": 13990 + }, + { + "epoch": 1.62, + "learning_rate": 1.3529003928819044e-05, + "loss": 0.8379, + "step": 14000 + }, + { + "epoch": 1.62, + "learning_rate": 1.3524381788768202e-05, + "loss": 0.9504, + "step": 14010 + }, + { + "epoch": 1.62, + "learning_rate": 1.3519759648717357e-05, + "loss": 0.8511, + "step": 14020 + }, + { + "epoch": 1.62, + "learning_rate": 1.3515137508666514e-05, + "loss": 1.196, + "step": 14030 + }, + { + "epoch": 1.62, + "learning_rate": 1.351051536861567e-05, + "loss": 0.9663, + "step": 14040 + }, + { + "epoch": 1.62, + "learning_rate": 1.3505893228564825e-05, + "loss": 0.8993, + "step": 14050 + }, + { + "epoch": 1.62, + "learning_rate": 1.3501271088513984e-05, + "loss": 0.8275, + "step": 14060 + }, + { + "epoch": 1.63, + "learning_rate": 1.349664894846314e-05, + "loss": 0.9566, + "step": 14070 + }, + { + "epoch": 1.63, + "learning_rate": 1.3492026808412295e-05, + "loss": 0.952, + "step": 14080 + }, + { + "epoch": 1.63, + "learning_rate": 1.3487404668361452e-05, + "loss": 1.0835, + "step": 14090 + }, + { + "epoch": 1.63, + "learning_rate": 1.3482782528310609e-05, + "loss": 1.0976, + "step": 14100 + }, + { + "epoch": 1.63, + "learning_rate": 1.3478160388259764e-05, + "loss": 0.8811, + "step": 14110 + }, + { + "epoch": 1.63, + "learning_rate": 1.3473538248208922e-05, + "loss": 0.8965, + "step": 14120 + }, + { + "epoch": 1.63, + "learning_rate": 1.3468916108158079e-05, + "loss": 1.1536, + "step": 14130 + }, + { + "epoch": 1.63, + "learning_rate": 1.3464293968107234e-05, + "loss": 0.8019, + "step": 14140 + }, + { + "epoch": 1.64, + "learning_rate": 1.345967182805639e-05, + "loss": 1.0355, + "step": 14150 + }, + { + "epoch": 1.64, + "learning_rate": 1.3455049688005549e-05, + "loss": 0.8318, + "step": 14160 + }, + { + "epoch": 1.64, + "learning_rate": 1.3450427547954704e-05, + "loss": 0.9346, + "step": 14170 + }, + { + "epoch": 1.64, + "learning_rate": 1.344580540790386e-05, + "loss": 0.7433, + "step": 14180 + }, + { + "epoch": 1.64, + "learning_rate": 1.3441183267853017e-05, + "loss": 0.647, + "step": 14190 + }, + { + "epoch": 1.64, + "learning_rate": 1.3436561127802175e-05, + "loss": 0.8202, + "step": 14200 + }, + { + "epoch": 1.64, + "learning_rate": 1.343193898775133e-05, + "loss": 0.8467, + "step": 14210 + }, + { + "epoch": 1.64, + "learning_rate": 1.3427316847700487e-05, + "loss": 0.6931, + "step": 14220 + }, + { + "epoch": 1.64, + "learning_rate": 1.3422694707649644e-05, + "loss": 0.9951, + "step": 14230 + }, + { + "epoch": 1.65, + "learning_rate": 1.3418072567598799e-05, + "loss": 0.8928, + "step": 14240 + }, + { + "epoch": 1.65, + "learning_rate": 1.3413450427547955e-05, + "loss": 0.8897, + "step": 14250 + }, + { + "epoch": 1.65, + "learning_rate": 1.3408828287497114e-05, + "loss": 0.6943, + "step": 14260 + }, + { + "epoch": 1.65, + "learning_rate": 1.3404206147446269e-05, + "loss": 0.9858, + "step": 14270 + }, + { + "epoch": 1.65, + "learning_rate": 1.3399584007395425e-05, + "loss": 0.9546, + "step": 14280 + }, + { + "epoch": 1.65, + "learning_rate": 1.3394961867344582e-05, + "loss": 1.1405, + "step": 14290 + }, + { + "epoch": 1.65, + "learning_rate": 1.3390339727293737e-05, + "loss": 1.2061, + "step": 14300 + }, + { + "epoch": 1.65, + "learning_rate": 1.3385717587242895e-05, + "loss": 1.1649, + "step": 14310 + }, + { + "epoch": 1.65, + "learning_rate": 1.3381095447192052e-05, + "loss": 0.8602, + "step": 14320 + }, + { + "epoch": 1.66, + "learning_rate": 1.3376473307141207e-05, + "loss": 0.9874, + "step": 14330 + }, + { + "epoch": 1.66, + "learning_rate": 1.3371851167090363e-05, + "loss": 0.8943, + "step": 14340 + }, + { + "epoch": 1.66, + "learning_rate": 1.3367229027039522e-05, + "loss": 1.0673, + "step": 14350 + }, + { + "epoch": 1.66, + "learning_rate": 1.3362606886988677e-05, + "loss": 0.8266, + "step": 14360 + }, + { + "epoch": 1.66, + "learning_rate": 1.3357984746937833e-05, + "loss": 1.0161, + "step": 14370 + }, + { + "epoch": 1.66, + "learning_rate": 1.335336260688699e-05, + "loss": 0.988, + "step": 14380 + }, + { + "epoch": 1.66, + "learning_rate": 1.3348740466836145e-05, + "loss": 0.826, + "step": 14390 + }, + { + "epoch": 1.66, + "learning_rate": 1.3344118326785302e-05, + "loss": 0.9313, + "step": 14400 + }, + { + "epoch": 1.67, + "learning_rate": 1.333949618673446e-05, + "loss": 0.8041, + "step": 14410 + }, + { + "epoch": 1.67, + "learning_rate": 1.3334874046683615e-05, + "loss": 0.9973, + "step": 14420 + }, + { + "epoch": 1.67, + "learning_rate": 1.3330251906632772e-05, + "loss": 0.9554, + "step": 14430 + }, + { + "epoch": 1.67, + "learning_rate": 1.3325629766581928e-05, + "loss": 0.9547, + "step": 14440 + }, + { + "epoch": 1.67, + "learning_rate": 1.3321007626531083e-05, + "loss": 1.0297, + "step": 14450 + }, + { + "epoch": 1.67, + "learning_rate": 1.3316385486480242e-05, + "loss": 0.8907, + "step": 14460 + }, + { + "epoch": 1.67, + "learning_rate": 1.3311763346429398e-05, + "loss": 0.7738, + "step": 14470 + }, + { + "epoch": 1.67, + "learning_rate": 1.3307141206378555e-05, + "loss": 0.8127, + "step": 14480 + }, + { + "epoch": 1.67, + "learning_rate": 1.330251906632771e-05, + "loss": 1.0174, + "step": 14490 + }, + { + "epoch": 1.68, + "learning_rate": 1.3297896926276868e-05, + "loss": 0.8417, + "step": 14500 + }, + { + "epoch": 1.68, + "learning_rate": 1.3293274786226025e-05, + "loss": 0.8948, + "step": 14510 + }, + { + "epoch": 1.68, + "learning_rate": 1.328865264617518e-05, + "loss": 1.0244, + "step": 14520 + }, + { + "epoch": 1.68, + "learning_rate": 1.3284030506124337e-05, + "loss": 0.9476, + "step": 14530 + }, + { + "epoch": 1.68, + "learning_rate": 1.3279408366073495e-05, + "loss": 0.8979, + "step": 14540 + }, + { + "epoch": 1.68, + "learning_rate": 1.327478622602265e-05, + "loss": 1.124, + "step": 14550 + }, + { + "epoch": 1.68, + "learning_rate": 1.3270164085971806e-05, + "loss": 0.9694, + "step": 14560 + }, + { + "epoch": 1.68, + "learning_rate": 1.3265541945920963e-05, + "loss": 1.0713, + "step": 14570 + }, + { + "epoch": 1.68, + "learning_rate": 1.3260919805870118e-05, + "loss": 1.0593, + "step": 14580 + }, + { + "epoch": 1.69, + "learning_rate": 1.3256297665819275e-05, + "loss": 1.0752, + "step": 14590 + }, + { + "epoch": 1.69, + "learning_rate": 1.3251675525768433e-05, + "loss": 0.9087, + "step": 14600 + }, + { + "epoch": 1.69, + "learning_rate": 1.3247053385717588e-05, + "loss": 0.9233, + "step": 14610 + }, + { + "epoch": 1.69, + "learning_rate": 1.3242431245666745e-05, + "loss": 1.0916, + "step": 14620 + }, + { + "epoch": 1.69, + "learning_rate": 1.3237809105615901e-05, + "loss": 1.1941, + "step": 14630 + }, + { + "epoch": 1.69, + "learning_rate": 1.3233186965565056e-05, + "loss": 0.7972, + "step": 14640 + }, + { + "epoch": 1.69, + "learning_rate": 1.3228564825514215e-05, + "loss": 0.9516, + "step": 14650 + }, + { + "epoch": 1.69, + "learning_rate": 1.3223942685463371e-05, + "loss": 0.9108, + "step": 14660 + }, + { + "epoch": 1.7, + "learning_rate": 1.3219320545412526e-05, + "loss": 0.7156, + "step": 14670 + }, + { + "epoch": 1.7, + "learning_rate": 1.3214698405361683e-05, + "loss": 1.0102, + "step": 14680 + }, + { + "epoch": 1.7, + "learning_rate": 1.3210076265310841e-05, + "loss": 1.1032, + "step": 14690 + }, + { + "epoch": 1.7, + "learning_rate": 1.3205454125259996e-05, + "loss": 0.8861, + "step": 14700 + }, + { + "epoch": 1.7, + "learning_rate": 1.3200831985209153e-05, + "loss": 0.7843, + "step": 14710 + }, + { + "epoch": 1.7, + "learning_rate": 1.319620984515831e-05, + "loss": 1.0489, + "step": 14720 + }, + { + "epoch": 1.7, + "learning_rate": 1.3191587705107465e-05, + "loss": 0.8377, + "step": 14730 + }, + { + "epoch": 1.7, + "learning_rate": 1.3186965565056621e-05, + "loss": 0.9635, + "step": 14740 + }, + { + "epoch": 1.7, + "learning_rate": 1.318234342500578e-05, + "loss": 0.8916, + "step": 14750 + }, + { + "epoch": 1.71, + "learning_rate": 1.3177721284954936e-05, + "loss": 1.038, + "step": 14760 + }, + { + "epoch": 1.71, + "learning_rate": 1.3173099144904091e-05, + "loss": 0.9797, + "step": 14770 + }, + { + "epoch": 1.71, + "learning_rate": 1.3168477004853248e-05, + "loss": 1.0368, + "step": 14780 + }, + { + "epoch": 1.71, + "learning_rate": 1.3163854864802406e-05, + "loss": 0.9836, + "step": 14790 + }, + { + "epoch": 1.71, + "learning_rate": 1.3159232724751561e-05, + "loss": 0.767, + "step": 14800 + }, + { + "epoch": 1.71, + "learning_rate": 1.3154610584700718e-05, + "loss": 0.9999, + "step": 14810 + }, + { + "epoch": 1.71, + "learning_rate": 1.3149988444649874e-05, + "loss": 0.9058, + "step": 14820 + }, + { + "epoch": 1.71, + "learning_rate": 1.314536630459903e-05, + "loss": 1.1025, + "step": 14830 + }, + { + "epoch": 1.71, + "learning_rate": 1.3140744164548188e-05, + "loss": 0.9538, + "step": 14840 + }, + { + "epoch": 1.72, + "learning_rate": 1.3136122024497344e-05, + "loss": 0.8634, + "step": 14850 + }, + { + "epoch": 1.72, + "learning_rate": 1.31314998844465e-05, + "loss": 1.1052, + "step": 14860 + }, + { + "epoch": 1.72, + "learning_rate": 1.3126877744395656e-05, + "loss": 0.9102, + "step": 14870 + }, + { + "epoch": 1.72, + "learning_rate": 1.3122255604344813e-05, + "loss": 1.122, + "step": 14880 + }, + { + "epoch": 1.72, + "learning_rate": 1.3117633464293968e-05, + "loss": 0.9868, + "step": 14890 + }, + { + "epoch": 1.72, + "learning_rate": 1.3113011324243126e-05, + "loss": 0.8592, + "step": 14900 + }, + { + "epoch": 1.72, + "learning_rate": 1.3108389184192283e-05, + "loss": 0.8948, + "step": 14910 + }, + { + "epoch": 1.72, + "learning_rate": 1.3103767044141438e-05, + "loss": 0.9035, + "step": 14920 + }, + { + "epoch": 1.73, + "learning_rate": 1.3099144904090594e-05, + "loss": 0.8172, + "step": 14930 + }, + { + "epoch": 1.73, + "learning_rate": 1.3094522764039753e-05, + "loss": 0.8732, + "step": 14940 + }, + { + "epoch": 1.73, + "learning_rate": 1.3089900623988908e-05, + "loss": 0.9213, + "step": 14950 + }, + { + "epoch": 1.73, + "learning_rate": 1.3085278483938064e-05, + "loss": 0.9462, + "step": 14960 + }, + { + "epoch": 1.73, + "learning_rate": 1.3080656343887221e-05, + "loss": 0.7915, + "step": 14970 + }, + { + "epoch": 1.73, + "learning_rate": 1.3076034203836376e-05, + "loss": 0.9668, + "step": 14980 + }, + { + "epoch": 1.73, + "learning_rate": 1.3071412063785534e-05, + "loss": 1.2192, + "step": 14990 + }, + { + "epoch": 1.73, + "learning_rate": 1.3066789923734691e-05, + "loss": 1.0358, + "step": 15000 + }, + { + "epoch": 1.73, + "learning_rate": 1.3062167783683846e-05, + "loss": 0.9366, + "step": 15010 + }, + { + "epoch": 1.74, + "learning_rate": 1.3057545643633003e-05, + "loss": 0.863, + "step": 15020 + }, + { + "epoch": 1.74, + "learning_rate": 1.305292350358216e-05, + "loss": 0.8242, + "step": 15030 + }, + { + "epoch": 1.74, + "learning_rate": 1.3048301363531318e-05, + "loss": 0.8349, + "step": 15040 + }, + { + "epoch": 1.74, + "learning_rate": 1.3043679223480473e-05, + "loss": 0.8349, + "step": 15050 + }, + { + "epoch": 1.74, + "learning_rate": 1.303905708342963e-05, + "loss": 1.0068, + "step": 15060 + }, + { + "epoch": 1.74, + "learning_rate": 1.3034434943378786e-05, + "loss": 1.012, + "step": 15070 + }, + { + "epoch": 1.74, + "learning_rate": 1.302981280332794e-05, + "loss": 1.0006, + "step": 15080 + }, + { + "epoch": 1.74, + "learning_rate": 1.3025190663277099e-05, + "loss": 0.9619, + "step": 15090 + }, + { + "epoch": 1.74, + "learning_rate": 1.3020568523226256e-05, + "loss": 1.1012, + "step": 15100 + }, + { + "epoch": 1.75, + "learning_rate": 1.301594638317541e-05, + "loss": 0.8684, + "step": 15110 + }, + { + "epoch": 1.75, + "learning_rate": 1.3011324243124567e-05, + "loss": 0.8619, + "step": 15120 + }, + { + "epoch": 1.75, + "learning_rate": 1.3006702103073726e-05, + "loss": 0.8861, + "step": 15130 + }, + { + "epoch": 1.75, + "learning_rate": 1.300207996302288e-05, + "loss": 1.0799, + "step": 15140 + }, + { + "epoch": 1.75, + "learning_rate": 1.2997457822972037e-05, + "loss": 0.8722, + "step": 15150 + }, + { + "epoch": 1.75, + "learning_rate": 1.2992835682921194e-05, + "loss": 0.9542, + "step": 15160 + }, + { + "epoch": 1.75, + "learning_rate": 1.2988213542870349e-05, + "loss": 1.018, + "step": 15170 + }, + { + "epoch": 1.75, + "learning_rate": 1.2983591402819506e-05, + "loss": 0.7793, + "step": 15180 + }, + { + "epoch": 1.76, + "learning_rate": 1.2978969262768664e-05, + "loss": 1.2477, + "step": 15190 + }, + { + "epoch": 1.76, + "learning_rate": 1.2974347122717819e-05, + "loss": 1.0946, + "step": 15200 + }, + { + "epoch": 1.76, + "learning_rate": 1.2969724982666976e-05, + "loss": 0.9283, + "step": 15210 + }, + { + "epoch": 1.76, + "learning_rate": 1.2965102842616132e-05, + "loss": 0.9561, + "step": 15220 + }, + { + "epoch": 1.76, + "learning_rate": 1.2960480702565287e-05, + "loss": 0.9131, + "step": 15230 + }, + { + "epoch": 1.76, + "learning_rate": 1.2955858562514446e-05, + "loss": 0.87, + "step": 15240 + }, + { + "epoch": 1.76, + "learning_rate": 1.2951236422463602e-05, + "loss": 0.9529, + "step": 15250 + }, + { + "epoch": 1.76, + "learning_rate": 1.2946614282412757e-05, + "loss": 0.8795, + "step": 15260 + }, + { + "epoch": 1.76, + "learning_rate": 1.2941992142361914e-05, + "loss": 1.0589, + "step": 15270 + }, + { + "epoch": 1.77, + "learning_rate": 1.2937370002311072e-05, + "loss": 1.01, + "step": 15280 + }, + { + "epoch": 1.77, + "learning_rate": 1.2932747862260227e-05, + "loss": 1.0467, + "step": 15290 + }, + { + "epoch": 1.77, + "learning_rate": 1.2928125722209384e-05, + "loss": 0.9169, + "step": 15300 + }, + { + "epoch": 1.77, + "learning_rate": 1.292350358215854e-05, + "loss": 0.8819, + "step": 15310 + }, + { + "epoch": 1.77, + "learning_rate": 1.2918881442107697e-05, + "loss": 0.9926, + "step": 15320 + }, + { + "epoch": 1.77, + "learning_rate": 1.2914259302056852e-05, + "loss": 0.9967, + "step": 15330 + }, + { + "epoch": 1.77, + "learning_rate": 1.290963716200601e-05, + "loss": 0.9289, + "step": 15340 + }, + { + "epoch": 1.77, + "learning_rate": 1.2905015021955167e-05, + "loss": 0.9977, + "step": 15350 + }, + { + "epoch": 1.77, + "learning_rate": 1.2900392881904322e-05, + "loss": 1.0408, + "step": 15360 + }, + { + "epoch": 1.78, + "learning_rate": 1.2895770741853479e-05, + "loss": 1.448, + "step": 15370 + }, + { + "epoch": 1.78, + "learning_rate": 1.2891148601802637e-05, + "loss": 0.9106, + "step": 15380 + }, + { + "epoch": 1.78, + "learning_rate": 1.2886526461751792e-05, + "loss": 0.8868, + "step": 15390 + }, + { + "epoch": 1.78, + "learning_rate": 1.2881904321700949e-05, + "loss": 1.0192, + "step": 15400 + }, + { + "epoch": 1.78, + "learning_rate": 1.2877282181650105e-05, + "loss": 1.0353, + "step": 15410 + }, + { + "epoch": 1.78, + "learning_rate": 1.287266004159926e-05, + "loss": 0.7549, + "step": 15420 + }, + { + "epoch": 1.78, + "learning_rate": 1.2868037901548419e-05, + "loss": 0.9725, + "step": 15430 + }, + { + "epoch": 1.78, + "learning_rate": 1.2863415761497575e-05, + "loss": 0.8139, + "step": 15440 + }, + { + "epoch": 1.79, + "learning_rate": 1.285879362144673e-05, + "loss": 0.927, + "step": 15450 + }, + { + "epoch": 1.79, + "learning_rate": 1.2854171481395887e-05, + "loss": 1.0661, + "step": 15460 + }, + { + "epoch": 1.79, + "learning_rate": 1.2849549341345045e-05, + "loss": 1.2262, + "step": 15470 + }, + { + "epoch": 1.79, + "learning_rate": 1.2844927201294199e-05, + "loss": 0.9763, + "step": 15480 + }, + { + "epoch": 1.79, + "learning_rate": 1.2840305061243357e-05, + "loss": 0.9127, + "step": 15490 + }, + { + "epoch": 1.79, + "learning_rate": 1.2835682921192514e-05, + "loss": 0.8658, + "step": 15500 + }, + { + "epoch": 1.79, + "learning_rate": 1.2831060781141669e-05, + "loss": 1.0184, + "step": 15510 + }, + { + "epoch": 1.79, + "learning_rate": 1.2826438641090825e-05, + "loss": 1.0071, + "step": 15520 + }, + { + "epoch": 1.79, + "learning_rate": 1.2821816501039984e-05, + "loss": 0.9027, + "step": 15530 + }, + { + "epoch": 1.8, + "learning_rate": 1.2817194360989139e-05, + "loss": 1.0072, + "step": 15540 + }, + { + "epoch": 1.8, + "learning_rate": 1.2812572220938295e-05, + "loss": 1.0087, + "step": 15550 + }, + { + "epoch": 1.8, + "learning_rate": 1.2807950080887452e-05, + "loss": 0.8297, + "step": 15560 + }, + { + "epoch": 1.8, + "learning_rate": 1.2803327940836607e-05, + "loss": 0.8271, + "step": 15570 + }, + { + "epoch": 1.8, + "learning_rate": 1.2798705800785765e-05, + "loss": 0.9747, + "step": 15580 + }, + { + "epoch": 1.8, + "learning_rate": 1.2794083660734922e-05, + "loss": 0.9536, + "step": 15590 + }, + { + "epoch": 1.8, + "learning_rate": 1.2789461520684078e-05, + "loss": 0.9513, + "step": 15600 + }, + { + "epoch": 1.8, + "learning_rate": 1.2784839380633233e-05, + "loss": 0.8257, + "step": 15610 + }, + { + "epoch": 1.8, + "learning_rate": 1.2780217240582392e-05, + "loss": 0.8386, + "step": 15620 + }, + { + "epoch": 1.81, + "learning_rate": 1.2775595100531548e-05, + "loss": 1.0339, + "step": 15630 + }, + { + "epoch": 1.81, + "learning_rate": 1.2770972960480703e-05, + "loss": 0.9644, + "step": 15640 + }, + { + "epoch": 1.81, + "learning_rate": 1.276635082042986e-05, + "loss": 0.9494, + "step": 15650 + }, + { + "epoch": 1.81, + "learning_rate": 1.2761728680379017e-05, + "loss": 1.0225, + "step": 15660 + }, + { + "epoch": 1.81, + "learning_rate": 1.2757106540328172e-05, + "loss": 0.9467, + "step": 15670 + }, + { + "epoch": 1.81, + "learning_rate": 1.275248440027733e-05, + "loss": 1.1014, + "step": 15680 + }, + { + "epoch": 1.81, + "learning_rate": 1.2747862260226487e-05, + "loss": 0.951, + "step": 15690 + }, + { + "epoch": 1.81, + "learning_rate": 1.2743240120175642e-05, + "loss": 1.0269, + "step": 15700 + }, + { + "epoch": 1.82, + "learning_rate": 1.2738617980124798e-05, + "loss": 1.0021, + "step": 15710 + }, + { + "epoch": 1.82, + "learning_rate": 1.2733995840073957e-05, + "loss": 1.0161, + "step": 15720 + }, + { + "epoch": 1.82, + "learning_rate": 1.2729373700023112e-05, + "loss": 0.8741, + "step": 15730 + }, + { + "epoch": 1.82, + "learning_rate": 1.2724751559972268e-05, + "loss": 1.0828, + "step": 15740 + }, + { + "epoch": 1.82, + "learning_rate": 1.2720129419921425e-05, + "loss": 0.987, + "step": 15750 + }, + { + "epoch": 1.82, + "learning_rate": 1.271550727987058e-05, + "loss": 0.8826, + "step": 15760 + }, + { + "epoch": 1.82, + "learning_rate": 1.2710885139819738e-05, + "loss": 0.8753, + "step": 15770 + }, + { + "epoch": 1.82, + "learning_rate": 1.2706262999768895e-05, + "loss": 0.8076, + "step": 15780 + }, + { + "epoch": 1.82, + "learning_rate": 1.270164085971805e-05, + "loss": 0.7232, + "step": 15790 + }, + { + "epoch": 1.83, + "learning_rate": 1.2697018719667207e-05, + "loss": 1.0209, + "step": 15800 + }, + { + "epoch": 1.83, + "learning_rate": 1.2692396579616363e-05, + "loss": 1.0569, + "step": 15810 + }, + { + "epoch": 1.83, + "learning_rate": 1.2687774439565518e-05, + "loss": 0.9336, + "step": 15820 + }, + { + "epoch": 1.83, + "learning_rate": 1.2683152299514677e-05, + "loss": 1.1245, + "step": 15830 + }, + { + "epoch": 1.83, + "learning_rate": 1.2678530159463833e-05, + "loss": 0.9681, + "step": 15840 + }, + { + "epoch": 1.83, + "learning_rate": 1.2673908019412988e-05, + "loss": 0.8814, + "step": 15850 + }, + { + "epoch": 1.83, + "learning_rate": 1.2669285879362145e-05, + "loss": 1.1138, + "step": 15860 + }, + { + "epoch": 1.83, + "learning_rate": 1.2664663739311303e-05, + "loss": 0.8845, + "step": 15870 + }, + { + "epoch": 1.83, + "learning_rate": 1.266004159926046e-05, + "loss": 0.6793, + "step": 15880 + }, + { + "epoch": 1.84, + "learning_rate": 1.2655419459209615e-05, + "loss": 0.8102, + "step": 15890 + }, + { + "epoch": 1.84, + "learning_rate": 1.2650797319158771e-05, + "loss": 0.8293, + "step": 15900 + }, + { + "epoch": 1.84, + "learning_rate": 1.264617517910793e-05, + "loss": 1.0285, + "step": 15910 + }, + { + "epoch": 1.84, + "learning_rate": 1.2641553039057085e-05, + "loss": 0.9356, + "step": 15920 + }, + { + "epoch": 1.84, + "learning_rate": 1.2636930899006241e-05, + "loss": 0.9779, + "step": 15930 + }, + { + "epoch": 1.84, + "learning_rate": 1.2632308758955398e-05, + "loss": 0.8969, + "step": 15940 + }, + { + "epoch": 1.84, + "learning_rate": 1.2627686618904553e-05, + "loss": 0.9557, + "step": 15950 + }, + { + "epoch": 1.84, + "learning_rate": 1.262306447885371e-05, + "loss": 0.8807, + "step": 15960 + }, + { + "epoch": 1.85, + "learning_rate": 1.2618442338802868e-05, + "loss": 0.8267, + "step": 15970 + }, + { + "epoch": 1.85, + "learning_rate": 1.2613820198752023e-05, + "loss": 1.0266, + "step": 15980 + }, + { + "epoch": 1.85, + "learning_rate": 1.260919805870118e-05, + "loss": 0.9285, + "step": 15990 + }, + { + "epoch": 1.85, + "learning_rate": 1.2604575918650336e-05, + "loss": 1.1206, + "step": 16000 + }, + { + "epoch": 1.85, + "learning_rate": 1.2599953778599491e-05, + "loss": 0.9301, + "step": 16010 + }, + { + "epoch": 1.85, + "learning_rate": 1.259533163854865e-05, + "loss": 0.9762, + "step": 16020 + }, + { + "epoch": 1.85, + "learning_rate": 1.2590709498497806e-05, + "loss": 0.8708, + "step": 16030 + }, + { + "epoch": 1.85, + "learning_rate": 1.2586087358446961e-05, + "loss": 0.82, + "step": 16040 + }, + { + "epoch": 1.85, + "learning_rate": 1.2581465218396118e-05, + "loss": 0.8505, + "step": 16050 + }, + { + "epoch": 1.86, + "learning_rate": 1.2576843078345276e-05, + "loss": 1.0103, + "step": 16060 + }, + { + "epoch": 1.86, + "learning_rate": 1.2572220938294431e-05, + "loss": 1.1762, + "step": 16070 + }, + { + "epoch": 1.86, + "learning_rate": 1.2567598798243588e-05, + "loss": 1.0845, + "step": 16080 + }, + { + "epoch": 1.86, + "learning_rate": 1.2562976658192745e-05, + "loss": 0.7893, + "step": 16090 + }, + { + "epoch": 1.86, + "learning_rate": 1.25583545181419e-05, + "loss": 1.1017, + "step": 16100 + }, + { + "epoch": 1.86, + "learning_rate": 1.2553732378091056e-05, + "loss": 0.9965, + "step": 16110 + }, + { + "epoch": 1.86, + "learning_rate": 1.2549110238040215e-05, + "loss": 1.0152, + "step": 16120 + }, + { + "epoch": 1.86, + "learning_rate": 1.254448809798937e-05, + "loss": 1.0363, + "step": 16130 + }, + { + "epoch": 1.87, + "learning_rate": 1.2539865957938526e-05, + "loss": 0.7661, + "step": 16140 + }, + { + "epoch": 1.87, + "learning_rate": 1.2535243817887683e-05, + "loss": 0.8881, + "step": 16150 + }, + { + "epoch": 1.87, + "learning_rate": 1.2530621677836841e-05, + "loss": 0.8518, + "step": 16160 + }, + { + "epoch": 1.87, + "learning_rate": 1.2525999537785996e-05, + "loss": 1.1407, + "step": 16170 + }, + { + "epoch": 1.87, + "learning_rate": 1.2521377397735153e-05, + "loss": 1.136, + "step": 16180 + }, + { + "epoch": 1.87, + "learning_rate": 1.251675525768431e-05, + "loss": 0.7408, + "step": 16190 + }, + { + "epoch": 1.87, + "learning_rate": 1.2512133117633464e-05, + "loss": 0.8149, + "step": 16200 + }, + { + "epoch": 1.87, + "learning_rate": 1.2507510977582623e-05, + "loss": 0.8844, + "step": 16210 + }, + { + "epoch": 1.87, + "learning_rate": 1.250288883753178e-05, + "loss": 0.9429, + "step": 16220 + }, + { + "epoch": 1.88, + "learning_rate": 1.2498266697480934e-05, + "loss": 1.1482, + "step": 16230 + }, + { + "epoch": 1.88, + "learning_rate": 1.2493644557430091e-05, + "loss": 0.8589, + "step": 16240 + }, + { + "epoch": 1.88, + "learning_rate": 1.2489022417379248e-05, + "loss": 0.9854, + "step": 16250 + }, + { + "epoch": 1.88, + "learning_rate": 1.2484400277328403e-05, + "loss": 0.9536, + "step": 16260 + }, + { + "epoch": 1.88, + "learning_rate": 1.2479778137277561e-05, + "loss": 1.0079, + "step": 16270 + }, + { + "epoch": 1.88, + "learning_rate": 1.2475155997226718e-05, + "loss": 0.8624, + "step": 16280 + }, + { + "epoch": 1.88, + "learning_rate": 1.2470533857175873e-05, + "loss": 1.1549, + "step": 16290 + }, + { + "epoch": 1.88, + "learning_rate": 1.246591171712503e-05, + "loss": 1.0317, + "step": 16300 + }, + { + "epoch": 1.88, + "learning_rate": 1.2461289577074188e-05, + "loss": 0.9475, + "step": 16310 + }, + { + "epoch": 1.89, + "learning_rate": 1.2456667437023343e-05, + "loss": 0.9946, + "step": 16320 + }, + { + "epoch": 1.89, + "learning_rate": 1.24520452969725e-05, + "loss": 0.9693, + "step": 16330 + }, + { + "epoch": 1.89, + "learning_rate": 1.2447423156921656e-05, + "loss": 0.9215, + "step": 16340 + }, + { + "epoch": 1.89, + "learning_rate": 1.244280101687081e-05, + "loss": 0.9813, + "step": 16350 + }, + { + "epoch": 1.89, + "learning_rate": 1.243817887681997e-05, + "loss": 0.9166, + "step": 16360 + }, + { + "epoch": 1.89, + "learning_rate": 1.2433556736769126e-05, + "loss": 1.047, + "step": 16370 + }, + { + "epoch": 1.89, + "learning_rate": 1.242893459671828e-05, + "loss": 0.7509, + "step": 16380 + }, + { + "epoch": 1.89, + "learning_rate": 1.2424312456667437e-05, + "loss": 0.8114, + "step": 16390 + }, + { + "epoch": 1.9, + "learning_rate": 1.2419690316616594e-05, + "loss": 0.9135, + "step": 16400 + }, + { + "epoch": 1.9, + "learning_rate": 1.2415068176565749e-05, + "loss": 0.8332, + "step": 16410 + }, + { + "epoch": 1.9, + "learning_rate": 1.2410446036514907e-05, + "loss": 0.8657, + "step": 16420 + }, + { + "epoch": 1.9, + "learning_rate": 1.2405823896464064e-05, + "loss": 1.1066, + "step": 16430 + }, + { + "epoch": 1.9, + "learning_rate": 1.240120175641322e-05, + "loss": 0.795, + "step": 16440 + }, + { + "epoch": 1.9, + "learning_rate": 1.2396579616362376e-05, + "loss": 1.0422, + "step": 16450 + }, + { + "epoch": 1.9, + "learning_rate": 1.2391957476311534e-05, + "loss": 1.2049, + "step": 16460 + }, + { + "epoch": 1.9, + "learning_rate": 1.238733533626069e-05, + "loss": 0.7672, + "step": 16470 + }, + { + "epoch": 1.9, + "learning_rate": 1.2382713196209846e-05, + "loss": 0.9221, + "step": 16480 + }, + { + "epoch": 1.91, + "learning_rate": 1.2378091056159002e-05, + "loss": 1.0626, + "step": 16490 + }, + { + "epoch": 1.91, + "learning_rate": 1.237346891610816e-05, + "loss": 0.8369, + "step": 16500 + }, + { + "epoch": 1.91, + "learning_rate": 1.2368846776057316e-05, + "loss": 0.8742, + "step": 16510 + }, + { + "epoch": 1.91, + "learning_rate": 1.2364224636006472e-05, + "loss": 1.1064, + "step": 16520 + }, + { + "epoch": 1.91, + "learning_rate": 1.2359602495955629e-05, + "loss": 0.8728, + "step": 16530 + }, + { + "epoch": 1.91, + "learning_rate": 1.2354980355904784e-05, + "loss": 0.9981, + "step": 16540 + }, + { + "epoch": 1.91, + "learning_rate": 1.2350358215853942e-05, + "loss": 1.1017, + "step": 16550 + }, + { + "epoch": 1.91, + "learning_rate": 1.2345736075803099e-05, + "loss": 0.9693, + "step": 16560 + }, + { + "epoch": 1.91, + "learning_rate": 1.2341113935752254e-05, + "loss": 1.1115, + "step": 16570 + }, + { + "epoch": 1.92, + "learning_rate": 1.233649179570141e-05, + "loss": 0.8382, + "step": 16580 + }, + { + "epoch": 1.92, + "learning_rate": 1.2331869655650567e-05, + "loss": 0.784, + "step": 16590 + }, + { + "epoch": 1.92, + "learning_rate": 1.2327247515599722e-05, + "loss": 0.9859, + "step": 16600 + }, + { + "epoch": 1.92, + "learning_rate": 1.232262537554888e-05, + "loss": 1.1296, + "step": 16610 + }, + { + "epoch": 1.92, + "learning_rate": 1.2318003235498037e-05, + "loss": 1.0938, + "step": 16620 + }, + { + "epoch": 1.92, + "learning_rate": 1.2313381095447192e-05, + "loss": 1.1174, + "step": 16630 + }, + { + "epoch": 1.92, + "learning_rate": 1.2308758955396349e-05, + "loss": 0.7618, + "step": 16640 + }, + { + "epoch": 1.92, + "learning_rate": 1.2304136815345507e-05, + "loss": 0.8632, + "step": 16650 + }, + { + "epoch": 1.93, + "learning_rate": 1.2299514675294662e-05, + "loss": 0.9334, + "step": 16660 + }, + { + "epoch": 1.93, + "learning_rate": 1.2294892535243819e-05, + "loss": 0.6448, + "step": 16670 + }, + { + "epoch": 1.93, + "learning_rate": 1.2290270395192975e-05, + "loss": 0.8398, + "step": 16680 + }, + { + "epoch": 1.93, + "learning_rate": 1.228564825514213e-05, + "loss": 0.8781, + "step": 16690 + }, + { + "epoch": 1.93, + "learning_rate": 1.2281026115091289e-05, + "loss": 1.1231, + "step": 16700 + }, + { + "epoch": 1.93, + "learning_rate": 1.2276403975040445e-05, + "loss": 0.906, + "step": 16710 + }, + { + "epoch": 1.93, + "learning_rate": 1.2271781834989602e-05, + "loss": 0.9467, + "step": 16720 + }, + { + "epoch": 1.93, + "learning_rate": 1.2267159694938757e-05, + "loss": 0.9074, + "step": 16730 + }, + { + "epoch": 1.93, + "learning_rate": 1.2262537554887914e-05, + "loss": 0.8402, + "step": 16740 + }, + { + "epoch": 1.94, + "learning_rate": 1.2257915414837072e-05, + "loss": 0.9162, + "step": 16750 + }, + { + "epoch": 1.94, + "learning_rate": 1.2253293274786227e-05, + "loss": 0.8457, + "step": 16760 + }, + { + "epoch": 1.94, + "learning_rate": 1.2248671134735384e-05, + "loss": 1.0204, + "step": 16770 + }, + { + "epoch": 1.94, + "learning_rate": 1.224404899468454e-05, + "loss": 0.8309, + "step": 16780 + }, + { + "epoch": 1.94, + "learning_rate": 1.2239426854633695e-05, + "loss": 1.0883, + "step": 16790 + }, + { + "epoch": 1.94, + "learning_rate": 1.2234804714582854e-05, + "loss": 1.0621, + "step": 16800 + }, + { + "epoch": 1.94, + "learning_rate": 1.223018257453201e-05, + "loss": 0.9601, + "step": 16810 + }, + { + "epoch": 1.94, + "learning_rate": 1.2225560434481165e-05, + "loss": 0.9289, + "step": 16820 + }, + { + "epoch": 1.94, + "learning_rate": 1.2220938294430322e-05, + "loss": 0.9418, + "step": 16830 + }, + { + "epoch": 1.95, + "learning_rate": 1.221631615437948e-05, + "loss": 0.9748, + "step": 16840 + }, + { + "epoch": 1.95, + "learning_rate": 1.2211694014328635e-05, + "loss": 1.1388, + "step": 16850 + }, + { + "epoch": 1.95, + "learning_rate": 1.2207071874277792e-05, + "loss": 0.7877, + "step": 16860 + }, + { + "epoch": 1.95, + "learning_rate": 1.2202449734226949e-05, + "loss": 1.0999, + "step": 16870 + }, + { + "epoch": 1.95, + "learning_rate": 1.2197827594176104e-05, + "loss": 0.9263, + "step": 16880 + }, + { + "epoch": 1.95, + "learning_rate": 1.219320545412526e-05, + "loss": 0.8368, + "step": 16890 + }, + { + "epoch": 1.95, + "learning_rate": 1.2188583314074419e-05, + "loss": 1.1056, + "step": 16900 + }, + { + "epoch": 1.95, + "learning_rate": 1.2183961174023573e-05, + "loss": 0.8715, + "step": 16910 + }, + { + "epoch": 1.96, + "learning_rate": 1.217933903397273e-05, + "loss": 0.9038, + "step": 16920 + }, + { + "epoch": 1.96, + "learning_rate": 1.2174716893921887e-05, + "loss": 0.861, + "step": 16930 + }, + { + "epoch": 1.96, + "learning_rate": 1.2170094753871042e-05, + "loss": 0.8111, + "step": 16940 + }, + { + "epoch": 1.96, + "learning_rate": 1.21654726138202e-05, + "loss": 1.0428, + "step": 16950 + }, + { + "epoch": 1.96, + "learning_rate": 1.2160850473769357e-05, + "loss": 0.8901, + "step": 16960 + }, + { + "epoch": 1.96, + "learning_rate": 1.2156228333718512e-05, + "loss": 0.9122, + "step": 16970 + }, + { + "epoch": 1.96, + "learning_rate": 1.2151606193667668e-05, + "loss": 0.7994, + "step": 16980 + }, + { + "epoch": 1.96, + "learning_rate": 1.2146984053616827e-05, + "loss": 0.8432, + "step": 16990 + }, + { + "epoch": 1.96, + "learning_rate": 1.2142361913565983e-05, + "loss": 1.1026, + "step": 17000 + }, + { + "epoch": 1.97, + "learning_rate": 1.2137739773515138e-05, + "loss": 0.8646, + "step": 17010 + }, + { + "epoch": 1.97, + "learning_rate": 1.2133117633464295e-05, + "loss": 1.0822, + "step": 17020 + }, + { + "epoch": 1.97, + "learning_rate": 1.2128495493413452e-05, + "loss": 1.0431, + "step": 17030 + }, + { + "epoch": 1.97, + "learning_rate": 1.2123873353362607e-05, + "loss": 1.0974, + "step": 17040 + }, + { + "epoch": 1.97, + "learning_rate": 1.2119251213311765e-05, + "loss": 0.9091, + "step": 17050 + }, + { + "epoch": 1.97, + "learning_rate": 1.2114629073260922e-05, + "loss": 0.9877, + "step": 17060 + }, + { + "epoch": 1.97, + "learning_rate": 1.2110006933210077e-05, + "loss": 0.9514, + "step": 17070 + }, + { + "epoch": 1.97, + "learning_rate": 1.2105384793159233e-05, + "loss": 0.9849, + "step": 17080 + }, + { + "epoch": 1.97, + "learning_rate": 1.2100762653108392e-05, + "loss": 0.8109, + "step": 17090 + }, + { + "epoch": 1.98, + "learning_rate": 1.2096140513057547e-05, + "loss": 0.7389, + "step": 17100 + }, + { + "epoch": 1.98, + "learning_rate": 1.2091518373006703e-05, + "loss": 0.8729, + "step": 17110 + }, + { + "epoch": 1.98, + "learning_rate": 1.208689623295586e-05, + "loss": 0.8403, + "step": 17120 + }, + { + "epoch": 1.98, + "learning_rate": 1.2082274092905015e-05, + "loss": 1.1238, + "step": 17130 + }, + { + "epoch": 1.98, + "learning_rate": 1.2077651952854173e-05, + "loss": 1.1379, + "step": 17140 + }, + { + "epoch": 1.98, + "learning_rate": 1.207302981280333e-05, + "loss": 0.9131, + "step": 17150 + }, + { + "epoch": 1.98, + "learning_rate": 1.2068407672752485e-05, + "loss": 0.8276, + "step": 17160 + }, + { + "epoch": 1.98, + "learning_rate": 1.2063785532701641e-05, + "loss": 0.8535, + "step": 17170 + }, + { + "epoch": 1.99, + "learning_rate": 1.2059163392650798e-05, + "loss": 0.9071, + "step": 17180 + }, + { + "epoch": 1.99, + "learning_rate": 1.2054541252599953e-05, + "loss": 1.0166, + "step": 17190 + }, + { + "epoch": 1.99, + "learning_rate": 1.2049919112549111e-05, + "loss": 1.022, + "step": 17200 + }, + { + "epoch": 1.99, + "learning_rate": 1.2045296972498268e-05, + "loss": 0.9587, + "step": 17210 + }, + { + "epoch": 1.99, + "learning_rate": 1.2040674832447423e-05, + "loss": 0.7878, + "step": 17220 + }, + { + "epoch": 1.99, + "learning_rate": 1.203605269239658e-05, + "loss": 0.8295, + "step": 17230 + }, + { + "epoch": 1.99, + "learning_rate": 1.2031430552345738e-05, + "loss": 0.9604, + "step": 17240 + }, + { + "epoch": 1.99, + "learning_rate": 1.2026808412294893e-05, + "loss": 1.0321, + "step": 17250 + }, + { + "epoch": 1.99, + "learning_rate": 1.202218627224405e-05, + "loss": 0.7573, + "step": 17260 + }, + { + "epoch": 2.0, + "learning_rate": 1.2017564132193206e-05, + "loss": 0.9216, + "step": 17270 + }, + { + "epoch": 2.0, + "learning_rate": 1.2012941992142365e-05, + "loss": 1.1622, + "step": 17280 + }, + { + "epoch": 2.0, + "learning_rate": 1.200831985209152e-05, + "loss": 1.0677, + "step": 17290 + }, + { + "epoch": 2.0, + "learning_rate": 1.2003697712040676e-05, + "loss": 0.9959, + "step": 17300 + }, + { + "epoch": 2.0, + "eval_accuracy": 0.6941147581239256, + "eval_loss": 0.8523356318473816, + "eval_runtime": 367.7187, + "eval_samples_per_second": 33.224, + "eval_steps_per_second": 4.155, + "step": 17308 + }, + { + "epoch": 2.0, + "learning_rate": 1.1999075571989833e-05, + "loss": 0.9337, + "step": 17310 + }, + { + "epoch": 2.0, + "learning_rate": 1.1994453431938988e-05, + "loss": 0.9174, + "step": 17320 + }, + { + "epoch": 2.0, + "learning_rate": 1.1989831291888145e-05, + "loss": 0.886, + "step": 17330 + }, + { + "epoch": 2.0, + "learning_rate": 1.1985209151837303e-05, + "loss": 0.8022, + "step": 17340 + }, + { + "epoch": 2.0, + "learning_rate": 1.1980587011786458e-05, + "loss": 0.9964, + "step": 17350 + }, + { + "epoch": 2.01, + "learning_rate": 1.1975964871735615e-05, + "loss": 0.7045, + "step": 17360 + }, + { + "epoch": 2.01, + "learning_rate": 1.1971342731684771e-05, + "loss": 0.7849, + "step": 17370 + }, + { + "epoch": 2.01, + "learning_rate": 1.1966720591633926e-05, + "loss": 0.75, + "step": 17380 + }, + { + "epoch": 2.01, + "learning_rate": 1.1962098451583085e-05, + "loss": 0.6988, + "step": 17390 + }, + { + "epoch": 2.01, + "learning_rate": 1.1957476311532241e-05, + "loss": 0.8258, + "step": 17400 + }, + { + "epoch": 2.01, + "learning_rate": 1.1952854171481396e-05, + "loss": 0.7548, + "step": 17410 + }, + { + "epoch": 2.01, + "learning_rate": 1.1948232031430553e-05, + "loss": 0.8017, + "step": 17420 + }, + { + "epoch": 2.01, + "learning_rate": 1.1943609891379711e-05, + "loss": 0.98, + "step": 17430 + }, + { + "epoch": 2.02, + "learning_rate": 1.1938987751328866e-05, + "loss": 0.7545, + "step": 17440 + }, + { + "epoch": 2.02, + "learning_rate": 1.1934365611278023e-05, + "loss": 0.8506, + "step": 17450 + }, + { + "epoch": 2.02, + "learning_rate": 1.192974347122718e-05, + "loss": 1.0343, + "step": 17460 + }, + { + "epoch": 2.02, + "learning_rate": 1.1925121331176334e-05, + "loss": 0.9846, + "step": 17470 + }, + { + "epoch": 2.02, + "learning_rate": 1.1920499191125491e-05, + "loss": 0.9844, + "step": 17480 + }, + { + "epoch": 2.02, + "learning_rate": 1.191587705107465e-05, + "loss": 1.1832, + "step": 17490 + }, + { + "epoch": 2.02, + "learning_rate": 1.1911254911023804e-05, + "loss": 0.9722, + "step": 17500 + }, + { + "epoch": 2.02, + "learning_rate": 1.1906632770972961e-05, + "loss": 0.906, + "step": 17510 + }, + { + "epoch": 2.02, + "learning_rate": 1.1902010630922118e-05, + "loss": 1.3125, + "step": 17520 + }, + { + "epoch": 2.03, + "learning_rate": 1.1897388490871273e-05, + "loss": 0.6583, + "step": 17530 + }, + { + "epoch": 2.03, + "learning_rate": 1.1892766350820431e-05, + "loss": 1.0258, + "step": 17540 + }, + { + "epoch": 2.03, + "learning_rate": 1.1888144210769588e-05, + "loss": 0.8902, + "step": 17550 + }, + { + "epoch": 2.03, + "learning_rate": 1.1883522070718743e-05, + "loss": 0.7855, + "step": 17560 + }, + { + "epoch": 2.03, + "learning_rate": 1.18788999306679e-05, + "loss": 1.005, + "step": 17570 + }, + { + "epoch": 2.03, + "learning_rate": 1.1874277790617058e-05, + "loss": 0.8785, + "step": 17580 + }, + { + "epoch": 2.03, + "learning_rate": 1.1869655650566214e-05, + "loss": 0.827, + "step": 17590 + }, + { + "epoch": 2.03, + "learning_rate": 1.186503351051537e-05, + "loss": 0.8907, + "step": 17600 + }, + { + "epoch": 2.03, + "learning_rate": 1.1860411370464526e-05, + "loss": 0.8739, + "step": 17610 + }, + { + "epoch": 2.04, + "learning_rate": 1.1855789230413684e-05, + "loss": 0.8089, + "step": 17620 + }, + { + "epoch": 2.04, + "learning_rate": 1.185116709036284e-05, + "loss": 1.1024, + "step": 17630 + }, + { + "epoch": 2.04, + "learning_rate": 1.1846544950311996e-05, + "loss": 0.7945, + "step": 17640 + }, + { + "epoch": 2.04, + "learning_rate": 1.1841922810261153e-05, + "loss": 0.8869, + "step": 17650 + }, + { + "epoch": 2.04, + "learning_rate": 1.1837300670210308e-05, + "loss": 0.9039, + "step": 17660 + }, + { + "epoch": 2.04, + "learning_rate": 1.1832678530159464e-05, + "loss": 0.745, + "step": 17670 + }, + { + "epoch": 2.04, + "learning_rate": 1.1828056390108623e-05, + "loss": 0.9384, + "step": 17680 + }, + { + "epoch": 2.04, + "learning_rate": 1.1823434250057777e-05, + "loss": 0.942, + "step": 17690 + }, + { + "epoch": 2.05, + "learning_rate": 1.1818812110006934e-05, + "loss": 1.0015, + "step": 17700 + }, + { + "epoch": 2.05, + "learning_rate": 1.181418996995609e-05, + "loss": 1.0314, + "step": 17710 + }, + { + "epoch": 2.05, + "learning_rate": 1.1809567829905246e-05, + "loss": 1.0882, + "step": 17720 + }, + { + "epoch": 2.05, + "learning_rate": 1.1804945689854404e-05, + "loss": 0.8338, + "step": 17730 + }, + { + "epoch": 2.05, + "learning_rate": 1.180032354980356e-05, + "loss": 0.7123, + "step": 17740 + }, + { + "epoch": 2.05, + "learning_rate": 1.1795701409752716e-05, + "loss": 1.1736, + "step": 17750 + }, + { + "epoch": 2.05, + "learning_rate": 1.1791079269701872e-05, + "loss": 0.9608, + "step": 17760 + }, + { + "epoch": 2.05, + "learning_rate": 1.178645712965103e-05, + "loss": 0.8023, + "step": 17770 + }, + { + "epoch": 2.05, + "learning_rate": 1.1781834989600186e-05, + "loss": 0.8926, + "step": 17780 + }, + { + "epoch": 2.06, + "learning_rate": 1.1777212849549342e-05, + "loss": 1.0936, + "step": 17790 + }, + { + "epoch": 2.06, + "learning_rate": 1.1772590709498499e-05, + "loss": 0.8435, + "step": 17800 + }, + { + "epoch": 2.06, + "learning_rate": 1.1767968569447654e-05, + "loss": 0.9201, + "step": 17810 + }, + { + "epoch": 2.06, + "learning_rate": 1.176334642939681e-05, + "loss": 0.9303, + "step": 17820 + }, + { + "epoch": 2.06, + "learning_rate": 1.1758724289345969e-05, + "loss": 0.9556, + "step": 17830 + }, + { + "epoch": 2.06, + "learning_rate": 1.1754102149295124e-05, + "loss": 0.8094, + "step": 17840 + }, + { + "epoch": 2.06, + "learning_rate": 1.174948000924428e-05, + "loss": 0.9807, + "step": 17850 + }, + { + "epoch": 2.06, + "learning_rate": 1.1744857869193437e-05, + "loss": 0.8264, + "step": 17860 + }, + { + "epoch": 2.06, + "learning_rate": 1.1740235729142596e-05, + "loss": 0.8501, + "step": 17870 + }, + { + "epoch": 2.07, + "learning_rate": 1.173561358909175e-05, + "loss": 0.9986, + "step": 17880 + }, + { + "epoch": 2.07, + "learning_rate": 1.1730991449040907e-05, + "loss": 0.7975, + "step": 17890 + }, + { + "epoch": 2.07, + "learning_rate": 1.1726369308990064e-05, + "loss": 0.6342, + "step": 17900 + }, + { + "epoch": 2.07, + "learning_rate": 1.1721747168939219e-05, + "loss": 0.8086, + "step": 17910 + }, + { + "epoch": 2.07, + "learning_rate": 1.1717125028888377e-05, + "loss": 0.9657, + "step": 17920 + }, + { + "epoch": 2.07, + "learning_rate": 1.1712502888837534e-05, + "loss": 0.9378, + "step": 17930 + }, + { + "epoch": 2.07, + "learning_rate": 1.1707880748786689e-05, + "loss": 0.8477, + "step": 17940 + }, + { + "epoch": 2.07, + "learning_rate": 1.1703258608735845e-05, + "loss": 0.7862, + "step": 17950 + }, + { + "epoch": 2.08, + "learning_rate": 1.1698636468685002e-05, + "loss": 0.7966, + "step": 17960 + }, + { + "epoch": 2.08, + "learning_rate": 1.1694014328634157e-05, + "loss": 0.885, + "step": 17970 + }, + { + "epoch": 2.08, + "learning_rate": 1.1689392188583315e-05, + "loss": 0.9679, + "step": 17980 + }, + { + "epoch": 2.08, + "learning_rate": 1.1684770048532472e-05, + "loss": 0.8629, + "step": 17990 + }, + { + "epoch": 2.08, + "learning_rate": 1.1680147908481627e-05, + "loss": 0.84, + "step": 18000 + }, + { + "epoch": 2.08, + "learning_rate": 1.1675525768430784e-05, + "loss": 0.973, + "step": 18010 + }, + { + "epoch": 2.08, + "learning_rate": 1.1670903628379942e-05, + "loss": 1.0841, + "step": 18020 + }, + { + "epoch": 2.08, + "learning_rate": 1.1666281488329097e-05, + "loss": 0.8922, + "step": 18030 + }, + { + "epoch": 2.08, + "learning_rate": 1.1661659348278254e-05, + "loss": 0.8429, + "step": 18040 + }, + { + "epoch": 2.09, + "learning_rate": 1.165703720822741e-05, + "loss": 0.9563, + "step": 18050 + }, + { + "epoch": 2.09, + "learning_rate": 1.1652415068176565e-05, + "loss": 0.8386, + "step": 18060 + }, + { + "epoch": 2.09, + "learning_rate": 1.1647792928125724e-05, + "loss": 1.058, + "step": 18070 + }, + { + "epoch": 2.09, + "learning_rate": 1.164317078807488e-05, + "loss": 1.1503, + "step": 18080 + }, + { + "epoch": 2.09, + "learning_rate": 1.1638548648024035e-05, + "loss": 0.8895, + "step": 18090 + }, + { + "epoch": 2.09, + "learning_rate": 1.1633926507973192e-05, + "loss": 0.9213, + "step": 18100 + }, + { + "epoch": 2.09, + "learning_rate": 1.1629304367922349e-05, + "loss": 0.8108, + "step": 18110 + }, + { + "epoch": 2.09, + "learning_rate": 1.1624682227871504e-05, + "loss": 0.9893, + "step": 18120 + }, + { + "epoch": 2.09, + "learning_rate": 1.1620060087820662e-05, + "loss": 0.8444, + "step": 18130 + }, + { + "epoch": 2.1, + "learning_rate": 1.1615437947769819e-05, + "loss": 0.7761, + "step": 18140 + }, + { + "epoch": 2.1, + "learning_rate": 1.1610815807718975e-05, + "loss": 0.8771, + "step": 18150 + }, + { + "epoch": 2.1, + "learning_rate": 1.160619366766813e-05, + "loss": 0.9343, + "step": 18160 + }, + { + "epoch": 2.1, + "learning_rate": 1.1601571527617289e-05, + "loss": 1.075, + "step": 18170 + }, + { + "epoch": 2.1, + "learning_rate": 1.1596949387566445e-05, + "loss": 0.9296, + "step": 18180 + }, + { + "epoch": 2.1, + "learning_rate": 1.15923272475156e-05, + "loss": 1.1034, + "step": 18190 + }, + { + "epoch": 2.1, + "learning_rate": 1.1587705107464757e-05, + "loss": 0.9955, + "step": 18200 + }, + { + "epoch": 2.1, + "learning_rate": 1.1583082967413915e-05, + "loss": 0.7911, + "step": 18210 + }, + { + "epoch": 2.11, + "learning_rate": 1.157846082736307e-05, + "loss": 0.9218, + "step": 18220 + }, + { + "epoch": 2.11, + "learning_rate": 1.1573838687312227e-05, + "loss": 0.9925, + "step": 18230 + }, + { + "epoch": 2.11, + "learning_rate": 1.1569216547261383e-05, + "loss": 1.0658, + "step": 18240 + }, + { + "epoch": 2.11, + "learning_rate": 1.1564594407210538e-05, + "loss": 0.9982, + "step": 18250 + }, + { + "epoch": 2.11, + "learning_rate": 1.1559972267159695e-05, + "loss": 0.727, + "step": 18260 + }, + { + "epoch": 2.11, + "learning_rate": 1.1555350127108853e-05, + "loss": 0.75, + "step": 18270 + }, + { + "epoch": 2.11, + "learning_rate": 1.1550727987058008e-05, + "loss": 0.8871, + "step": 18280 + }, + { + "epoch": 2.11, + "learning_rate": 1.1546105847007165e-05, + "loss": 0.762, + "step": 18290 + }, + { + "epoch": 2.11, + "learning_rate": 1.1541483706956322e-05, + "loss": 0.7458, + "step": 18300 + }, + { + "epoch": 2.12, + "learning_rate": 1.1536861566905477e-05, + "loss": 0.8941, + "step": 18310 + }, + { + "epoch": 2.12, + "learning_rate": 1.1532239426854635e-05, + "loss": 1.04, + "step": 18320 + }, + { + "epoch": 2.12, + "learning_rate": 1.1527617286803792e-05, + "loss": 0.7893, + "step": 18330 + }, + { + "epoch": 2.12, + "learning_rate": 1.1522995146752947e-05, + "loss": 0.8084, + "step": 18340 + }, + { + "epoch": 2.12, + "learning_rate": 1.1518373006702103e-05, + "loss": 0.6786, + "step": 18350 + }, + { + "epoch": 2.12, + "learning_rate": 1.1513750866651262e-05, + "loss": 0.7869, + "step": 18360 + }, + { + "epoch": 2.12, + "learning_rate": 1.1509128726600417e-05, + "loss": 1.0144, + "step": 18370 + }, + { + "epoch": 2.12, + "learning_rate": 1.1504506586549573e-05, + "loss": 1.2085, + "step": 18380 + }, + { + "epoch": 2.13, + "learning_rate": 1.149988444649873e-05, + "loss": 0.9414, + "step": 18390 + }, + { + "epoch": 2.13, + "learning_rate": 1.1495262306447885e-05, + "loss": 0.6261, + "step": 18400 + }, + { + "epoch": 2.13, + "learning_rate": 1.1490640166397042e-05, + "loss": 0.8556, + "step": 18410 + }, + { + "epoch": 2.13, + "learning_rate": 1.14860180263462e-05, + "loss": 0.9609, + "step": 18420 + }, + { + "epoch": 2.13, + "learning_rate": 1.1481395886295357e-05, + "loss": 0.7805, + "step": 18430 + }, + { + "epoch": 2.13, + "learning_rate": 1.1476773746244512e-05, + "loss": 0.8015, + "step": 18440 + }, + { + "epoch": 2.13, + "learning_rate": 1.1472151606193668e-05, + "loss": 0.8033, + "step": 18450 + }, + { + "epoch": 2.13, + "learning_rate": 1.1467529466142827e-05, + "loss": 1.0236, + "step": 18460 + }, + { + "epoch": 2.13, + "learning_rate": 1.1462907326091982e-05, + "loss": 0.6764, + "step": 18470 + }, + { + "epoch": 2.14, + "learning_rate": 1.1458285186041138e-05, + "loss": 0.8879, + "step": 18480 + }, + { + "epoch": 2.14, + "learning_rate": 1.1453663045990295e-05, + "loss": 0.8559, + "step": 18490 + }, + { + "epoch": 2.14, + "learning_rate": 1.144904090593945e-05, + "loss": 0.8797, + "step": 18500 + }, + { + "epoch": 2.14, + "learning_rate": 1.1444418765888608e-05, + "loss": 0.9126, + "step": 18510 + }, + { + "epoch": 2.14, + "learning_rate": 1.1439796625837765e-05, + "loss": 1.0996, + "step": 18520 + }, + { + "epoch": 2.14, + "learning_rate": 1.143517448578692e-05, + "loss": 1.1183, + "step": 18530 + }, + { + "epoch": 2.14, + "learning_rate": 1.1430552345736076e-05, + "loss": 0.917, + "step": 18540 + }, + { + "epoch": 2.14, + "learning_rate": 1.1425930205685235e-05, + "loss": 1.0565, + "step": 18550 + }, + { + "epoch": 2.14, + "learning_rate": 1.1421308065634388e-05, + "loss": 0.8611, + "step": 18560 + }, + { + "epoch": 2.15, + "learning_rate": 1.1416685925583546e-05, + "loss": 1.0068, + "step": 18570 + }, + { + "epoch": 2.15, + "learning_rate": 1.1412063785532703e-05, + "loss": 0.9017, + "step": 18580 + }, + { + "epoch": 2.15, + "learning_rate": 1.1407441645481858e-05, + "loss": 1.035, + "step": 18590 + }, + { + "epoch": 2.15, + "learning_rate": 1.1402819505431015e-05, + "loss": 1.0758, + "step": 18600 + }, + { + "epoch": 2.15, + "learning_rate": 1.1398197365380173e-05, + "loss": 0.7765, + "step": 18610 + }, + { + "epoch": 2.15, + "learning_rate": 1.1393575225329328e-05, + "loss": 0.7286, + "step": 18620 + }, + { + "epoch": 2.15, + "learning_rate": 1.1388953085278485e-05, + "loss": 0.8632, + "step": 18630 + }, + { + "epoch": 2.15, + "learning_rate": 1.1384330945227641e-05, + "loss": 0.9885, + "step": 18640 + }, + { + "epoch": 2.16, + "learning_rate": 1.1379708805176796e-05, + "loss": 1.0964, + "step": 18650 + }, + { + "epoch": 2.16, + "learning_rate": 1.1375086665125955e-05, + "loss": 0.913, + "step": 18660 + }, + { + "epoch": 2.16, + "learning_rate": 1.1370464525075111e-05, + "loss": 1.1617, + "step": 18670 + }, + { + "epoch": 2.16, + "learning_rate": 1.1365842385024266e-05, + "loss": 0.9494, + "step": 18680 + }, + { + "epoch": 2.16, + "learning_rate": 1.1361220244973423e-05, + "loss": 0.9853, + "step": 18690 + }, + { + "epoch": 2.16, + "learning_rate": 1.1356598104922581e-05, + "loss": 1.0865, + "step": 18700 + }, + { + "epoch": 2.16, + "learning_rate": 1.1351975964871738e-05, + "loss": 0.8846, + "step": 18710 + }, + { + "epoch": 2.16, + "learning_rate": 1.1347353824820893e-05, + "loss": 1.0057, + "step": 18720 + }, + { + "epoch": 2.16, + "learning_rate": 1.134273168477005e-05, + "loss": 0.931, + "step": 18730 + }, + { + "epoch": 2.17, + "learning_rate": 1.1338109544719206e-05, + "loss": 0.8821, + "step": 18740 + }, + { + "epoch": 2.17, + "learning_rate": 1.1333487404668361e-05, + "loss": 0.9516, + "step": 18750 + }, + { + "epoch": 2.17, + "learning_rate": 1.132886526461752e-05, + "loss": 0.8432, + "step": 18760 + }, + { + "epoch": 2.17, + "learning_rate": 1.1324243124566676e-05, + "loss": 0.8922, + "step": 18770 + }, + { + "epoch": 2.17, + "learning_rate": 1.1319620984515831e-05, + "loss": 1.0529, + "step": 18780 + }, + { + "epoch": 2.17, + "learning_rate": 1.1314998844464988e-05, + "loss": 0.7998, + "step": 18790 + }, + { + "epoch": 2.17, + "learning_rate": 1.1310376704414146e-05, + "loss": 0.7976, + "step": 18800 + }, + { + "epoch": 2.17, + "learning_rate": 1.1305754564363301e-05, + "loss": 1.0546, + "step": 18810 + }, + { + "epoch": 2.17, + "learning_rate": 1.1301132424312458e-05, + "loss": 0.7807, + "step": 18820 + }, + { + "epoch": 2.18, + "learning_rate": 1.1296510284261614e-05, + "loss": 0.9085, + "step": 18830 + }, + { + "epoch": 2.18, + "learning_rate": 1.129188814421077e-05, + "loss": 0.7798, + "step": 18840 + }, + { + "epoch": 2.18, + "learning_rate": 1.1287266004159928e-05, + "loss": 0.8445, + "step": 18850 + }, + { + "epoch": 2.18, + "learning_rate": 1.1282643864109084e-05, + "loss": 0.8001, + "step": 18860 + }, + { + "epoch": 2.18, + "learning_rate": 1.127802172405824e-05, + "loss": 0.7526, + "step": 18870 + }, + { + "epoch": 2.18, + "learning_rate": 1.1273399584007396e-05, + "loss": 0.9032, + "step": 18880 + }, + { + "epoch": 2.18, + "learning_rate": 1.1268777443956553e-05, + "loss": 1.0327, + "step": 18890 + }, + { + "epoch": 2.18, + "learning_rate": 1.1264155303905708e-05, + "loss": 0.5758, + "step": 18900 + }, + { + "epoch": 2.19, + "learning_rate": 1.1259533163854866e-05, + "loss": 0.9337, + "step": 18910 + }, + { + "epoch": 2.19, + "learning_rate": 1.1254911023804023e-05, + "loss": 0.7116, + "step": 18920 + }, + { + "epoch": 2.19, + "learning_rate": 1.1250288883753178e-05, + "loss": 0.8465, + "step": 18930 + }, + { + "epoch": 2.19, + "learning_rate": 1.1245666743702334e-05, + "loss": 0.6701, + "step": 18940 + }, + { + "epoch": 2.19, + "learning_rate": 1.1241044603651493e-05, + "loss": 0.8743, + "step": 18950 + }, + { + "epoch": 2.19, + "learning_rate": 1.1236422463600648e-05, + "loss": 0.9825, + "step": 18960 + }, + { + "epoch": 2.19, + "learning_rate": 1.1231800323549804e-05, + "loss": 0.8811, + "step": 18970 + }, + { + "epoch": 2.19, + "learning_rate": 1.1227178183498961e-05, + "loss": 1.1363, + "step": 18980 + }, + { + "epoch": 2.19, + "learning_rate": 1.122255604344812e-05, + "loss": 1.024, + "step": 18990 + }, + { + "epoch": 2.2, + "learning_rate": 1.1217933903397274e-05, + "loss": 1.0409, + "step": 19000 + }, + { + "epoch": 2.2, + "learning_rate": 1.121331176334643e-05, + "loss": 1.009, + "step": 19010 + }, + { + "epoch": 2.2, + "learning_rate": 1.1208689623295587e-05, + "loss": 0.8639, + "step": 19020 + }, + { + "epoch": 2.2, + "learning_rate": 1.1204067483244742e-05, + "loss": 0.9773, + "step": 19030 + }, + { + "epoch": 2.2, + "learning_rate": 1.1199445343193899e-05, + "loss": 1.0419, + "step": 19040 + }, + { + "epoch": 2.2, + "learning_rate": 1.1194823203143057e-05, + "loss": 1.0523, + "step": 19050 + }, + { + "epoch": 2.2, + "learning_rate": 1.1190201063092212e-05, + "loss": 0.6958, + "step": 19060 + }, + { + "epoch": 2.2, + "learning_rate": 1.1185578923041369e-05, + "loss": 1.1942, + "step": 19070 + }, + { + "epoch": 2.2, + "learning_rate": 1.1180956782990526e-05, + "loss": 1.1829, + "step": 19080 + }, + { + "epoch": 2.21, + "learning_rate": 1.117633464293968e-05, + "loss": 0.7812, + "step": 19090 + }, + { + "epoch": 2.21, + "learning_rate": 1.1171712502888839e-05, + "loss": 0.9334, + "step": 19100 + }, + { + "epoch": 2.21, + "learning_rate": 1.1167090362837996e-05, + "loss": 1.0161, + "step": 19110 + }, + { + "epoch": 2.21, + "learning_rate": 1.116246822278715e-05, + "loss": 0.9778, + "step": 19120 + }, + { + "epoch": 2.21, + "learning_rate": 1.1157846082736307e-05, + "loss": 1.0992, + "step": 19130 + }, + { + "epoch": 2.21, + "learning_rate": 1.1153223942685466e-05, + "loss": 0.8692, + "step": 19140 + }, + { + "epoch": 2.21, + "learning_rate": 1.114860180263462e-05, + "loss": 0.9304, + "step": 19150 + }, + { + "epoch": 2.21, + "learning_rate": 1.1143979662583777e-05, + "loss": 0.8557, + "step": 19160 + }, + { + "epoch": 2.22, + "learning_rate": 1.1139357522532934e-05, + "loss": 0.8203, + "step": 19170 + }, + { + "epoch": 2.22, + "learning_rate": 1.1134735382482089e-05, + "loss": 0.9903, + "step": 19180 + }, + { + "epoch": 2.22, + "learning_rate": 1.1130113242431246e-05, + "loss": 0.8832, + "step": 19190 + }, + { + "epoch": 2.22, + "learning_rate": 1.1125491102380404e-05, + "loss": 0.7515, + "step": 19200 + }, + { + "epoch": 2.22, + "learning_rate": 1.1120868962329559e-05, + "loss": 1.1099, + "step": 19210 + }, + { + "epoch": 2.22, + "learning_rate": 1.1116246822278716e-05, + "loss": 1.2256, + "step": 19220 + }, + { + "epoch": 2.22, + "learning_rate": 1.1111624682227872e-05, + "loss": 0.8131, + "step": 19230 + }, + { + "epoch": 2.22, + "learning_rate": 1.1107002542177027e-05, + "loss": 1.1555, + "step": 19240 + }, + { + "epoch": 2.22, + "learning_rate": 1.1102380402126186e-05, + "loss": 0.9623, + "step": 19250 + }, + { + "epoch": 2.23, + "learning_rate": 1.1097758262075342e-05, + "loss": 0.9426, + "step": 19260 + }, + { + "epoch": 2.23, + "learning_rate": 1.1093136122024499e-05, + "loss": 1.2023, + "step": 19270 + }, + { + "epoch": 2.23, + "learning_rate": 1.1088513981973654e-05, + "loss": 0.8817, + "step": 19280 + }, + { + "epoch": 2.23, + "learning_rate": 1.1083891841922812e-05, + "loss": 1.1819, + "step": 19290 + }, + { + "epoch": 2.23, + "learning_rate": 1.1079269701871969e-05, + "loss": 1.0753, + "step": 19300 + }, + { + "epoch": 2.23, + "learning_rate": 1.1074647561821124e-05, + "loss": 0.9421, + "step": 19310 + }, + { + "epoch": 2.23, + "learning_rate": 1.107002542177028e-05, + "loss": 0.9296, + "step": 19320 + }, + { + "epoch": 2.23, + "learning_rate": 1.1065403281719437e-05, + "loss": 1.0582, + "step": 19330 + }, + { + "epoch": 2.23, + "learning_rate": 1.1060781141668592e-05, + "loss": 0.9149, + "step": 19340 + }, + { + "epoch": 2.24, + "learning_rate": 1.105615900161775e-05, + "loss": 0.7319, + "step": 19350 + }, + { + "epoch": 2.24, + "learning_rate": 1.1051536861566907e-05, + "loss": 0.8164, + "step": 19360 + }, + { + "epoch": 2.24, + "learning_rate": 1.1046914721516062e-05, + "loss": 0.8837, + "step": 19370 + }, + { + "epoch": 2.24, + "learning_rate": 1.1042292581465219e-05, + "loss": 1.0008, + "step": 19380 + }, + { + "epoch": 2.24, + "learning_rate": 1.1037670441414377e-05, + "loss": 0.8772, + "step": 19390 + }, + { + "epoch": 2.24, + "learning_rate": 1.1033048301363532e-05, + "loss": 1.0416, + "step": 19400 + }, + { + "epoch": 2.24, + "learning_rate": 1.1028426161312689e-05, + "loss": 0.7092, + "step": 19410 + }, + { + "epoch": 2.24, + "learning_rate": 1.1023804021261845e-05, + "loss": 0.9392, + "step": 19420 + }, + { + "epoch": 2.25, + "learning_rate": 1.1019181881211e-05, + "loss": 0.8311, + "step": 19430 + }, + { + "epoch": 2.25, + "learning_rate": 1.1014559741160159e-05, + "loss": 0.7308, + "step": 19440 + }, + { + "epoch": 2.25, + "learning_rate": 1.1009937601109315e-05, + "loss": 0.8804, + "step": 19450 + }, + { + "epoch": 2.25, + "learning_rate": 1.100531546105847e-05, + "loss": 0.9505, + "step": 19460 + }, + { + "epoch": 2.25, + "learning_rate": 1.1000693321007627e-05, + "loss": 0.874, + "step": 19470 + }, + { + "epoch": 2.25, + "learning_rate": 1.0996071180956784e-05, + "loss": 0.9941, + "step": 19480 + }, + { + "epoch": 2.25, + "learning_rate": 1.0991449040905939e-05, + "loss": 0.655, + "step": 19490 + }, + { + "epoch": 2.25, + "learning_rate": 1.0986826900855097e-05, + "loss": 0.9019, + "step": 19500 + }, + { + "epoch": 2.25, + "learning_rate": 1.0982204760804254e-05, + "loss": 0.7623, + "step": 19510 + }, + { + "epoch": 2.26, + "learning_rate": 1.0977582620753408e-05, + "loss": 0.9047, + "step": 19520 + }, + { + "epoch": 2.26, + "learning_rate": 1.0972960480702565e-05, + "loss": 0.9233, + "step": 19530 + }, + { + "epoch": 2.26, + "learning_rate": 1.0968338340651723e-05, + "loss": 0.9337, + "step": 19540 + }, + { + "epoch": 2.26, + "learning_rate": 1.096371620060088e-05, + "loss": 0.9685, + "step": 19550 + }, + { + "epoch": 2.26, + "learning_rate": 1.0959094060550035e-05, + "loss": 1.0091, + "step": 19560 + }, + { + "epoch": 2.26, + "learning_rate": 1.0954471920499192e-05, + "loss": 0.8778, + "step": 19570 + }, + { + "epoch": 2.26, + "learning_rate": 1.094984978044835e-05, + "loss": 0.9831, + "step": 19580 + }, + { + "epoch": 2.26, + "learning_rate": 1.0945227640397505e-05, + "loss": 0.877, + "step": 19590 + }, + { + "epoch": 2.26, + "learning_rate": 1.0940605500346662e-05, + "loss": 0.8429, + "step": 19600 + }, + { + "epoch": 2.27, + "learning_rate": 1.0935983360295818e-05, + "loss": 1.0524, + "step": 19610 + }, + { + "epoch": 2.27, + "learning_rate": 1.0931361220244973e-05, + "loss": 0.7061, + "step": 19620 + }, + { + "epoch": 2.27, + "learning_rate": 1.0926739080194132e-05, + "loss": 0.8473, + "step": 19630 + }, + { + "epoch": 2.27, + "learning_rate": 1.0922116940143288e-05, + "loss": 1.0217, + "step": 19640 + }, + { + "epoch": 2.27, + "learning_rate": 1.0917494800092443e-05, + "loss": 0.9726, + "step": 19650 + }, + { + "epoch": 2.27, + "learning_rate": 1.09128726600416e-05, + "loss": 1.0545, + "step": 19660 + }, + { + "epoch": 2.27, + "learning_rate": 1.0908250519990757e-05, + "loss": 0.8611, + "step": 19670 + }, + { + "epoch": 2.27, + "learning_rate": 1.0903628379939912e-05, + "loss": 0.7191, + "step": 19680 + }, + { + "epoch": 2.28, + "learning_rate": 1.089900623988907e-05, + "loss": 0.9207, + "step": 19690 + }, + { + "epoch": 2.28, + "learning_rate": 1.0894384099838227e-05, + "loss": 0.8135, + "step": 19700 + }, + { + "epoch": 2.28, + "learning_rate": 1.0889761959787382e-05, + "loss": 0.9664, + "step": 19710 + }, + { + "epoch": 2.28, + "learning_rate": 1.0885139819736538e-05, + "loss": 0.9663, + "step": 19720 + }, + { + "epoch": 2.28, + "learning_rate": 1.0880517679685697e-05, + "loss": 0.8896, + "step": 19730 + }, + { + "epoch": 2.28, + "learning_rate": 1.0875895539634852e-05, + "loss": 0.9769, + "step": 19740 + }, + { + "epoch": 2.28, + "learning_rate": 1.0871273399584008e-05, + "loss": 0.7921, + "step": 19750 + }, + { + "epoch": 2.28, + "learning_rate": 1.0866651259533165e-05, + "loss": 0.7135, + "step": 19760 + }, + { + "epoch": 2.28, + "learning_rate": 1.086202911948232e-05, + "loss": 0.6762, + "step": 19770 + }, + { + "epoch": 2.29, + "learning_rate": 1.0857406979431478e-05, + "loss": 0.92, + "step": 19780 + }, + { + "epoch": 2.29, + "learning_rate": 1.0852784839380635e-05, + "loss": 0.7555, + "step": 19790 + }, + { + "epoch": 2.29, + "learning_rate": 1.084816269932979e-05, + "loss": 0.818, + "step": 19800 + }, + { + "epoch": 2.29, + "learning_rate": 1.0843540559278946e-05, + "loss": 0.9247, + "step": 19810 + }, + { + "epoch": 2.29, + "learning_rate": 1.0838918419228103e-05, + "loss": 1.1512, + "step": 19820 + }, + { + "epoch": 2.29, + "learning_rate": 1.0834296279177261e-05, + "loss": 0.9596, + "step": 19830 + }, + { + "epoch": 2.29, + "learning_rate": 1.0829674139126416e-05, + "loss": 0.926, + "step": 19840 + }, + { + "epoch": 2.29, + "learning_rate": 1.0825051999075573e-05, + "loss": 0.7026, + "step": 19850 + }, + { + "epoch": 2.29, + "learning_rate": 1.082042985902473e-05, + "loss": 0.7384, + "step": 19860 + }, + { + "epoch": 2.3, + "learning_rate": 1.0815807718973885e-05, + "loss": 1.0852, + "step": 19870 + }, + { + "epoch": 2.3, + "learning_rate": 1.0811185578923043e-05, + "loss": 0.9299, + "step": 19880 + }, + { + "epoch": 2.3, + "learning_rate": 1.08065634388722e-05, + "loss": 0.9318, + "step": 19890 + }, + { + "epoch": 2.3, + "learning_rate": 1.0801941298821355e-05, + "loss": 0.9067, + "step": 19900 + }, + { + "epoch": 2.3, + "learning_rate": 1.0797319158770511e-05, + "loss": 0.9674, + "step": 19910 + }, + { + "epoch": 2.3, + "learning_rate": 1.079269701871967e-05, + "loss": 1.005, + "step": 19920 + }, + { + "epoch": 2.3, + "learning_rate": 1.0788074878668825e-05, + "loss": 0.925, + "step": 19930 + }, + { + "epoch": 2.3, + "learning_rate": 1.0783452738617981e-05, + "loss": 0.9356, + "step": 19940 + }, + { + "epoch": 2.31, + "learning_rate": 1.0778830598567138e-05, + "loss": 1.0745, + "step": 19950 + }, + { + "epoch": 2.31, + "learning_rate": 1.0774208458516293e-05, + "loss": 0.8014, + "step": 19960 + }, + { + "epoch": 2.31, + "learning_rate": 1.076958631846545e-05, + "loss": 0.7784, + "step": 19970 + }, + { + "epoch": 2.31, + "learning_rate": 1.0764964178414608e-05, + "loss": 1.1419, + "step": 19980 + }, + { + "epoch": 2.31, + "learning_rate": 1.0760342038363763e-05, + "loss": 0.8068, + "step": 19990 + }, + { + "epoch": 2.31, + "learning_rate": 1.075571989831292e-05, + "loss": 0.9346, + "step": 20000 + }, + { + "epoch": 2.31, + "learning_rate": 1.0751097758262076e-05, + "loss": 0.7617, + "step": 20010 + }, + { + "epoch": 2.31, + "learning_rate": 1.0746475618211231e-05, + "loss": 0.8627, + "step": 20020 + }, + { + "epoch": 2.31, + "learning_rate": 1.074185347816039e-05, + "loss": 0.8745, + "step": 20030 + }, + { + "epoch": 2.32, + "learning_rate": 1.0737231338109546e-05, + "loss": 0.9617, + "step": 20040 + }, + { + "epoch": 2.32, + "learning_rate": 1.0732609198058701e-05, + "loss": 0.6993, + "step": 20050 + }, + { + "epoch": 2.32, + "learning_rate": 1.0727987058007858e-05, + "loss": 1.0069, + "step": 20060 + }, + { + "epoch": 2.32, + "learning_rate": 1.0723364917957016e-05, + "loss": 0.8178, + "step": 20070 + }, + { + "epoch": 2.32, + "learning_rate": 1.0718742777906171e-05, + "loss": 1.0069, + "step": 20080 + }, + { + "epoch": 2.32, + "learning_rate": 1.0714120637855328e-05, + "loss": 0.7952, + "step": 20090 + }, + { + "epoch": 2.32, + "learning_rate": 1.0709498497804484e-05, + "loss": 0.8581, + "step": 20100 + }, + { + "epoch": 2.32, + "learning_rate": 1.0704876357753641e-05, + "loss": 0.8083, + "step": 20110 + }, + { + "epoch": 2.32, + "learning_rate": 1.0700254217702796e-05, + "loss": 0.9221, + "step": 20120 + }, + { + "epoch": 2.33, + "learning_rate": 1.0695632077651954e-05, + "loss": 0.8767, + "step": 20130 + }, + { + "epoch": 2.33, + "learning_rate": 1.0691009937601111e-05, + "loss": 1.0205, + "step": 20140 + }, + { + "epoch": 2.33, + "learning_rate": 1.0686387797550266e-05, + "loss": 0.9777, + "step": 20150 + }, + { + "epoch": 2.33, + "learning_rate": 1.0681765657499423e-05, + "loss": 0.9501, + "step": 20160 + }, + { + "epoch": 2.33, + "learning_rate": 1.0677143517448581e-05, + "loss": 0.9714, + "step": 20170 + }, + { + "epoch": 2.33, + "learning_rate": 1.0672521377397736e-05, + "loss": 0.9775, + "step": 20180 + }, + { + "epoch": 2.33, + "learning_rate": 1.0667899237346893e-05, + "loss": 0.9966, + "step": 20190 + }, + { + "epoch": 2.33, + "learning_rate": 1.066327709729605e-05, + "loss": 0.9947, + "step": 20200 + }, + { + "epoch": 2.34, + "learning_rate": 1.0658654957245204e-05, + "loss": 1.1063, + "step": 20210 + }, + { + "epoch": 2.34, + "learning_rate": 1.0654032817194363e-05, + "loss": 0.797, + "step": 20220 + }, + { + "epoch": 2.34, + "learning_rate": 1.064941067714352e-05, + "loss": 0.9074, + "step": 20230 + }, + { + "epoch": 2.34, + "learning_rate": 1.0644788537092674e-05, + "loss": 1.0695, + "step": 20240 + }, + { + "epoch": 2.34, + "learning_rate": 1.0640166397041831e-05, + "loss": 0.8265, + "step": 20250 + }, + { + "epoch": 2.34, + "learning_rate": 1.0635544256990988e-05, + "loss": 1.1112, + "step": 20260 + }, + { + "epoch": 2.34, + "learning_rate": 1.0630922116940143e-05, + "loss": 0.8189, + "step": 20270 + }, + { + "epoch": 2.34, + "learning_rate": 1.0626299976889301e-05, + "loss": 0.9308, + "step": 20280 + }, + { + "epoch": 2.34, + "learning_rate": 1.0621677836838458e-05, + "loss": 0.901, + "step": 20290 + }, + { + "epoch": 2.35, + "learning_rate": 1.0617055696787612e-05, + "loss": 1.0359, + "step": 20300 + }, + { + "epoch": 2.35, + "learning_rate": 1.061243355673677e-05, + "loss": 0.9075, + "step": 20310 + }, + { + "epoch": 2.35, + "learning_rate": 1.0607811416685928e-05, + "loss": 0.9664, + "step": 20320 + }, + { + "epoch": 2.35, + "learning_rate": 1.0603189276635082e-05, + "loss": 0.7992, + "step": 20330 + }, + { + "epoch": 2.35, + "learning_rate": 1.0598567136584239e-05, + "loss": 0.7321, + "step": 20340 + }, + { + "epoch": 2.35, + "learning_rate": 1.0593944996533396e-05, + "loss": 1.0145, + "step": 20350 + }, + { + "epoch": 2.35, + "learning_rate": 1.058932285648255e-05, + "loss": 0.8895, + "step": 20360 + }, + { + "epoch": 2.35, + "learning_rate": 1.0584700716431709e-05, + "loss": 0.7823, + "step": 20370 + }, + { + "epoch": 2.35, + "learning_rate": 1.0580078576380866e-05, + "loss": 0.7709, + "step": 20380 + }, + { + "epoch": 2.36, + "learning_rate": 1.0575456436330022e-05, + "loss": 0.8899, + "step": 20390 + }, + { + "epoch": 2.36, + "learning_rate": 1.0570834296279177e-05, + "loss": 0.972, + "step": 20400 + }, + { + "epoch": 2.36, + "learning_rate": 1.0566212156228334e-05, + "loss": 0.7644, + "step": 20410 + }, + { + "epoch": 2.36, + "learning_rate": 1.0561590016177492e-05, + "loss": 0.7747, + "step": 20420 + }, + { + "epoch": 2.36, + "learning_rate": 1.0556967876126647e-05, + "loss": 0.8761, + "step": 20430 + }, + { + "epoch": 2.36, + "learning_rate": 1.0552345736075804e-05, + "loss": 0.6722, + "step": 20440 + }, + { + "epoch": 2.36, + "learning_rate": 1.054772359602496e-05, + "loss": 0.8076, + "step": 20450 + }, + { + "epoch": 2.36, + "learning_rate": 1.0543101455974116e-05, + "loss": 0.997, + "step": 20460 + }, + { + "epoch": 2.37, + "learning_rate": 1.0538479315923274e-05, + "loss": 1.0217, + "step": 20470 + }, + { + "epoch": 2.37, + "learning_rate": 1.053385717587243e-05, + "loss": 1.0737, + "step": 20480 + }, + { + "epoch": 2.37, + "learning_rate": 1.0529235035821586e-05, + "loss": 0.9404, + "step": 20490 + }, + { + "epoch": 2.37, + "learning_rate": 1.0524612895770742e-05, + "loss": 0.7826, + "step": 20500 + }, + { + "epoch": 2.37, + "learning_rate": 1.05199907557199e-05, + "loss": 0.7633, + "step": 20510 + }, + { + "epoch": 2.37, + "learning_rate": 1.0515368615669056e-05, + "loss": 1.1218, + "step": 20520 + }, + { + "epoch": 2.37, + "learning_rate": 1.0510746475618212e-05, + "loss": 1.1285, + "step": 20530 + }, + { + "epoch": 2.37, + "learning_rate": 1.0506124335567369e-05, + "loss": 1.0715, + "step": 20540 + }, + { + "epoch": 2.37, + "learning_rate": 1.0501502195516524e-05, + "loss": 0.7227, + "step": 20550 + }, + { + "epoch": 2.38, + "learning_rate": 1.049688005546568e-05, + "loss": 0.8406, + "step": 20560 + }, + { + "epoch": 2.38, + "learning_rate": 1.0492257915414839e-05, + "loss": 1.0106, + "step": 20570 + }, + { + "epoch": 2.38, + "learning_rate": 1.0487635775363994e-05, + "loss": 0.9024, + "step": 20580 + }, + { + "epoch": 2.38, + "learning_rate": 1.048301363531315e-05, + "loss": 0.9558, + "step": 20590 + }, + { + "epoch": 2.38, + "learning_rate": 1.0478391495262307e-05, + "loss": 0.8467, + "step": 20600 + }, + { + "epoch": 2.38, + "learning_rate": 1.0473769355211462e-05, + "loss": 0.9431, + "step": 20610 + }, + { + "epoch": 2.38, + "learning_rate": 1.046914721516062e-05, + "loss": 0.8318, + "step": 20620 + }, + { + "epoch": 2.38, + "learning_rate": 1.0464525075109777e-05, + "loss": 0.9367, + "step": 20630 + }, + { + "epoch": 2.39, + "learning_rate": 1.0459902935058932e-05, + "loss": 0.9629, + "step": 20640 + }, + { + "epoch": 2.39, + "learning_rate": 1.0455280795008089e-05, + "loss": 0.8178, + "step": 20650 + }, + { + "epoch": 2.39, + "learning_rate": 1.0450658654957247e-05, + "loss": 0.7954, + "step": 20660 + }, + { + "epoch": 2.39, + "learning_rate": 1.0446036514906404e-05, + "loss": 0.9784, + "step": 20670 + }, + { + "epoch": 2.39, + "learning_rate": 1.0441414374855559e-05, + "loss": 1.1557, + "step": 20680 + }, + { + "epoch": 2.39, + "learning_rate": 1.0436792234804715e-05, + "loss": 1.1031, + "step": 20690 + }, + { + "epoch": 2.39, + "learning_rate": 1.0432170094753874e-05, + "loss": 0.9241, + "step": 20700 + }, + { + "epoch": 2.39, + "learning_rate": 1.0427547954703029e-05, + "loss": 0.9799, + "step": 20710 + }, + { + "epoch": 2.39, + "learning_rate": 1.0422925814652185e-05, + "loss": 0.9582, + "step": 20720 + }, + { + "epoch": 2.4, + "learning_rate": 1.0418303674601342e-05, + "loss": 1.0045, + "step": 20730 + }, + { + "epoch": 2.4, + "learning_rate": 1.0413681534550497e-05, + "loss": 1.0155, + "step": 20740 + }, + { + "epoch": 2.4, + "learning_rate": 1.0409059394499654e-05, + "loss": 0.8464, + "step": 20750 + }, + { + "epoch": 2.4, + "learning_rate": 1.0404437254448812e-05, + "loss": 0.7997, + "step": 20760 + }, + { + "epoch": 2.4, + "learning_rate": 1.0399815114397967e-05, + "loss": 0.7011, + "step": 20770 + }, + { + "epoch": 2.4, + "learning_rate": 1.0395192974347124e-05, + "loss": 0.7195, + "step": 20780 + }, + { + "epoch": 2.4, + "learning_rate": 1.039057083429628e-05, + "loss": 1.0849, + "step": 20790 + }, + { + "epoch": 2.4, + "learning_rate": 1.0385948694245435e-05, + "loss": 0.7257, + "step": 20800 + }, + { + "epoch": 2.4, + "learning_rate": 1.0381326554194594e-05, + "loss": 0.9877, + "step": 20810 + }, + { + "epoch": 2.41, + "learning_rate": 1.037670441414375e-05, + "loss": 0.7792, + "step": 20820 + }, + { + "epoch": 2.41, + "learning_rate": 1.0372082274092905e-05, + "loss": 0.9888, + "step": 20830 + }, + { + "epoch": 2.41, + "learning_rate": 1.0367460134042062e-05, + "loss": 0.77, + "step": 20840 + }, + { + "epoch": 2.41, + "learning_rate": 1.036283799399122e-05, + "loss": 0.9518, + "step": 20850 + }, + { + "epoch": 2.41, + "learning_rate": 1.0358215853940375e-05, + "loss": 0.9827, + "step": 20860 + }, + { + "epoch": 2.41, + "learning_rate": 1.0353593713889532e-05, + "loss": 0.8232, + "step": 20870 + }, + { + "epoch": 2.41, + "learning_rate": 1.0348971573838688e-05, + "loss": 0.8785, + "step": 20880 + }, + { + "epoch": 2.41, + "learning_rate": 1.0344349433787843e-05, + "loss": 0.8621, + "step": 20890 + }, + { + "epoch": 2.42, + "learning_rate": 1.0339727293737e-05, + "loss": 0.7914, + "step": 20900 + }, + { + "epoch": 2.42, + "learning_rate": 1.0335105153686158e-05, + "loss": 0.8264, + "step": 20910 + }, + { + "epoch": 2.42, + "learning_rate": 1.0330483013635313e-05, + "loss": 1.0143, + "step": 20920 + }, + { + "epoch": 2.42, + "learning_rate": 1.032586087358447e-05, + "loss": 0.8254, + "step": 20930 + }, + { + "epoch": 2.42, + "learning_rate": 1.0321238733533627e-05, + "loss": 0.551, + "step": 20940 + }, + { + "epoch": 2.42, + "learning_rate": 1.0316616593482785e-05, + "loss": 0.9748, + "step": 20950 + }, + { + "epoch": 2.42, + "learning_rate": 1.031199445343194e-05, + "loss": 0.9774, + "step": 20960 + }, + { + "epoch": 2.42, + "learning_rate": 1.0307372313381097e-05, + "loss": 1.0475, + "step": 20970 + }, + { + "epoch": 2.42, + "learning_rate": 1.0302750173330253e-05, + "loss": 0.872, + "step": 20980 + }, + { + "epoch": 2.43, + "learning_rate": 1.0298128033279408e-05, + "loss": 0.9561, + "step": 20990 + }, + { + "epoch": 2.43, + "learning_rate": 1.0293505893228567e-05, + "loss": 0.8278, + "step": 21000 + }, + { + "epoch": 2.43, + "learning_rate": 1.0288883753177723e-05, + "loss": 0.8996, + "step": 21010 + }, + { + "epoch": 2.43, + "learning_rate": 1.0284261613126878e-05, + "loss": 0.8602, + "step": 21020 + }, + { + "epoch": 2.43, + "learning_rate": 1.0279639473076035e-05, + "loss": 1.0362, + "step": 21030 + }, + { + "epoch": 2.43, + "learning_rate": 1.0275017333025192e-05, + "loss": 0.8406, + "step": 21040 + }, + { + "epoch": 2.43, + "learning_rate": 1.0270395192974347e-05, + "loss": 0.6579, + "step": 21050 + }, + { + "epoch": 2.43, + "learning_rate": 1.0265773052923505e-05, + "loss": 0.8992, + "step": 21060 + }, + { + "epoch": 2.43, + "learning_rate": 1.0261150912872662e-05, + "loss": 0.9532, + "step": 21070 + }, + { + "epoch": 2.44, + "learning_rate": 1.0256528772821817e-05, + "loss": 0.7847, + "step": 21080 + }, + { + "epoch": 2.44, + "learning_rate": 1.0251906632770973e-05, + "loss": 1.0693, + "step": 21090 + }, + { + "epoch": 2.44, + "learning_rate": 1.0247284492720132e-05, + "loss": 0.7194, + "step": 21100 + }, + { + "epoch": 2.44, + "learning_rate": 1.0242662352669286e-05, + "loss": 0.7797, + "step": 21110 + }, + { + "epoch": 2.44, + "learning_rate": 1.0238040212618443e-05, + "loss": 0.8814, + "step": 21120 + }, + { + "epoch": 2.44, + "learning_rate": 1.02334180725676e-05, + "loss": 1.0122, + "step": 21130 + }, + { + "epoch": 2.44, + "learning_rate": 1.0228795932516755e-05, + "loss": 0.7688, + "step": 21140 + }, + { + "epoch": 2.44, + "learning_rate": 1.0224173792465913e-05, + "loss": 0.9158, + "step": 21150 + }, + { + "epoch": 2.45, + "learning_rate": 1.021955165241507e-05, + "loss": 0.6633, + "step": 21160 + }, + { + "epoch": 2.45, + "learning_rate": 1.0214929512364225e-05, + "loss": 0.8078, + "step": 21170 + }, + { + "epoch": 2.45, + "learning_rate": 1.0210307372313381e-05, + "loss": 1.2094, + "step": 21180 + }, + { + "epoch": 2.45, + "learning_rate": 1.0205685232262538e-05, + "loss": 0.8986, + "step": 21190 + }, + { + "epoch": 2.45, + "learning_rate": 1.0201063092211693e-05, + "loss": 0.8862, + "step": 21200 + }, + { + "epoch": 2.45, + "learning_rate": 1.0196440952160851e-05, + "loss": 1.0572, + "step": 21210 + }, + { + "epoch": 2.45, + "learning_rate": 1.0191818812110008e-05, + "loss": 0.6935, + "step": 21220 + }, + { + "epoch": 2.45, + "learning_rate": 1.0187196672059165e-05, + "loss": 0.868, + "step": 21230 + }, + { + "epoch": 2.45, + "learning_rate": 1.018257453200832e-05, + "loss": 0.9217, + "step": 21240 + }, + { + "epoch": 2.46, + "learning_rate": 1.0177952391957478e-05, + "loss": 0.9366, + "step": 21250 + }, + { + "epoch": 2.46, + "learning_rate": 1.0173330251906635e-05, + "loss": 0.8465, + "step": 21260 + }, + { + "epoch": 2.46, + "learning_rate": 1.016870811185579e-05, + "loss": 0.85, + "step": 21270 + }, + { + "epoch": 2.46, + "learning_rate": 1.0164085971804946e-05, + "loss": 0.9342, + "step": 21280 + }, + { + "epoch": 2.46, + "learning_rate": 1.0159463831754105e-05, + "loss": 0.8743, + "step": 21290 + }, + { + "epoch": 2.46, + "learning_rate": 1.015484169170326e-05, + "loss": 0.8613, + "step": 21300 + }, + { + "epoch": 2.46, + "learning_rate": 1.0150219551652416e-05, + "loss": 0.7022, + "step": 21310 + }, + { + "epoch": 2.46, + "learning_rate": 1.0145597411601573e-05, + "loss": 1.0184, + "step": 21320 + }, + { + "epoch": 2.46, + "learning_rate": 1.0140975271550728e-05, + "loss": 0.6116, + "step": 21330 + }, + { + "epoch": 2.47, + "learning_rate": 1.0136353131499885e-05, + "loss": 0.9886, + "step": 21340 + }, + { + "epoch": 2.47, + "learning_rate": 1.0131730991449043e-05, + "loss": 1.1962, + "step": 21350 + }, + { + "epoch": 2.47, + "learning_rate": 1.0127108851398198e-05, + "loss": 0.8802, + "step": 21360 + }, + { + "epoch": 2.47, + "learning_rate": 1.0122486711347354e-05, + "loss": 0.8685, + "step": 21370 + }, + { + "epoch": 2.47, + "learning_rate": 1.0117864571296511e-05, + "loss": 0.9768, + "step": 21380 + }, + { + "epoch": 2.47, + "learning_rate": 1.0113242431245666e-05, + "loss": 0.949, + "step": 21390 + }, + { + "epoch": 2.47, + "learning_rate": 1.0108620291194824e-05, + "loss": 1.0798, + "step": 21400 + }, + { + "epoch": 2.47, + "learning_rate": 1.0103998151143981e-05, + "loss": 0.8029, + "step": 21410 + }, + { + "epoch": 2.48, + "learning_rate": 1.0099376011093136e-05, + "loss": 0.9573, + "step": 21420 + }, + { + "epoch": 2.48, + "learning_rate": 1.0094753871042293e-05, + "loss": 0.9669, + "step": 21430 + }, + { + "epoch": 2.48, + "learning_rate": 1.0090131730991451e-05, + "loss": 0.7605, + "step": 21440 + }, + { + "epoch": 2.48, + "learning_rate": 1.0085509590940606e-05, + "loss": 1.0217, + "step": 21450 + }, + { + "epoch": 2.48, + "learning_rate": 1.0080887450889763e-05, + "loss": 0.983, + "step": 21460 + }, + { + "epoch": 2.48, + "learning_rate": 1.007626531083892e-05, + "loss": 0.7365, + "step": 21470 + }, + { + "epoch": 2.48, + "learning_rate": 1.0071643170788074e-05, + "loss": 0.9069, + "step": 21480 + }, + { + "epoch": 2.48, + "learning_rate": 1.0067021030737231e-05, + "loss": 0.9795, + "step": 21490 + }, + { + "epoch": 2.48, + "learning_rate": 1.006239889068639e-05, + "loss": 0.9909, + "step": 21500 + }, + { + "epoch": 2.49, + "learning_rate": 1.0057776750635546e-05, + "loss": 0.67, + "step": 21510 + }, + { + "epoch": 2.49, + "learning_rate": 1.0053154610584701e-05, + "loss": 0.9601, + "step": 21520 + }, + { + "epoch": 2.49, + "learning_rate": 1.0048532470533858e-05, + "loss": 0.9029, + "step": 21530 + }, + { + "epoch": 2.49, + "learning_rate": 1.0043910330483016e-05, + "loss": 0.8324, + "step": 21540 + }, + { + "epoch": 2.49, + "learning_rate": 1.0039288190432171e-05, + "loss": 1.0229, + "step": 21550 + }, + { + "epoch": 2.49, + "learning_rate": 1.0034666050381328e-05, + "loss": 0.8545, + "step": 21560 + }, + { + "epoch": 2.49, + "learning_rate": 1.0030043910330484e-05, + "loss": 0.9154, + "step": 21570 + }, + { + "epoch": 2.49, + "learning_rate": 1.002542177027964e-05, + "loss": 1.0974, + "step": 21580 + }, + { + "epoch": 2.49, + "learning_rate": 1.0020799630228798e-05, + "loss": 0.7473, + "step": 21590 + }, + { + "epoch": 2.5, + "learning_rate": 1.0016177490177954e-05, + "loss": 0.8617, + "step": 21600 + }, + { + "epoch": 2.5, + "learning_rate": 1.001155535012711e-05, + "loss": 0.8909, + "step": 21610 + }, + { + "epoch": 2.5, + "learning_rate": 1.0006933210076266e-05, + "loss": 0.6992, + "step": 21620 + }, + { + "epoch": 2.5, + "learning_rate": 1.0002311070025424e-05, + "loss": 0.7797, + "step": 21630 + }, + { + "epoch": 2.5, + "learning_rate": 9.997688929974579e-06, + "loss": 0.8549, + "step": 21640 + }, + { + "epoch": 2.5, + "learning_rate": 9.993066789923736e-06, + "loss": 1.0307, + "step": 21650 + }, + { + "epoch": 2.5, + "learning_rate": 9.98844464987289e-06, + "loss": 0.7963, + "step": 21660 + }, + { + "epoch": 2.5, + "learning_rate": 9.983822509822049e-06, + "loss": 0.9561, + "step": 21670 + }, + { + "epoch": 2.51, + "learning_rate": 9.979200369771204e-06, + "loss": 0.8113, + "step": 21680 + }, + { + "epoch": 2.51, + "learning_rate": 9.97457822972036e-06, + "loss": 1.1262, + "step": 21690 + }, + { + "epoch": 2.51, + "learning_rate": 9.969956089669517e-06, + "loss": 1.0876, + "step": 21700 + }, + { + "epoch": 2.51, + "learning_rate": 9.965333949618674e-06, + "loss": 0.8263, + "step": 21710 + }, + { + "epoch": 2.51, + "learning_rate": 9.96071180956783e-06, + "loss": 0.9587, + "step": 21720 + }, + { + "epoch": 2.51, + "learning_rate": 9.956089669516987e-06, + "loss": 0.6608, + "step": 21730 + }, + { + "epoch": 2.51, + "learning_rate": 9.951467529466144e-06, + "loss": 0.8889, + "step": 21740 + }, + { + "epoch": 2.51, + "learning_rate": 9.9468453894153e-06, + "loss": 0.8929, + "step": 21750 + }, + { + "epoch": 2.51, + "learning_rate": 9.942223249364457e-06, + "loss": 0.7387, + "step": 21760 + }, + { + "epoch": 2.52, + "learning_rate": 9.937601109313612e-06, + "loss": 1.0162, + "step": 21770 + }, + { + "epoch": 2.52, + "learning_rate": 9.93297896926277e-06, + "loss": 0.911, + "step": 21780 + }, + { + "epoch": 2.52, + "learning_rate": 9.928356829211926e-06, + "loss": 0.9891, + "step": 21790 + }, + { + "epoch": 2.52, + "learning_rate": 9.923734689161082e-06, + "loss": 0.7322, + "step": 21800 + }, + { + "epoch": 2.52, + "learning_rate": 9.919112549110239e-06, + "loss": 0.8475, + "step": 21810 + }, + { + "epoch": 2.52, + "learning_rate": 9.914490409059396e-06, + "loss": 0.9903, + "step": 21820 + }, + { + "epoch": 2.52, + "learning_rate": 9.90986826900855e-06, + "loss": 0.6878, + "step": 21830 + }, + { + "epoch": 2.52, + "learning_rate": 9.905246128957709e-06, + "loss": 0.9359, + "step": 21840 + }, + { + "epoch": 2.52, + "learning_rate": 9.900623988906864e-06, + "loss": 0.8116, + "step": 21850 + }, + { + "epoch": 2.53, + "learning_rate": 9.896001848856022e-06, + "loss": 0.9351, + "step": 21860 + }, + { + "epoch": 2.53, + "learning_rate": 9.891379708805177e-06, + "loss": 0.8894, + "step": 21870 + }, + { + "epoch": 2.53, + "learning_rate": 9.886757568754334e-06, + "loss": 0.7676, + "step": 21880 + }, + { + "epoch": 2.53, + "learning_rate": 9.88213542870349e-06, + "loss": 0.8912, + "step": 21890 + }, + { + "epoch": 2.53, + "learning_rate": 9.877513288652647e-06, + "loss": 1.0405, + "step": 21900 + }, + { + "epoch": 2.53, + "learning_rate": 9.872891148601804e-06, + "loss": 0.7991, + "step": 21910 + }, + { + "epoch": 2.53, + "learning_rate": 9.86826900855096e-06, + "loss": 0.8325, + "step": 21920 + }, + { + "epoch": 2.53, + "learning_rate": 9.863646868500117e-06, + "loss": 1.0111, + "step": 21930 + }, + { + "epoch": 2.54, + "learning_rate": 9.859024728449272e-06, + "loss": 1.1903, + "step": 21940 + }, + { + "epoch": 2.54, + "learning_rate": 9.854402588398429e-06, + "loss": 0.8289, + "step": 21950 + }, + { + "epoch": 2.54, + "learning_rate": 9.849780448347585e-06, + "loss": 0.8619, + "step": 21960 + }, + { + "epoch": 2.54, + "learning_rate": 9.845158308296742e-06, + "loss": 0.792, + "step": 21970 + }, + { + "epoch": 2.54, + "learning_rate": 9.840536168245899e-06, + "loss": 0.8578, + "step": 21980 + }, + { + "epoch": 2.54, + "learning_rate": 9.835914028195055e-06, + "loss": 0.983, + "step": 21990 + }, + { + "epoch": 2.54, + "learning_rate": 9.831291888144212e-06, + "loss": 0.8386, + "step": 22000 + }, + { + "epoch": 2.54, + "learning_rate": 9.826669748093369e-06, + "loss": 0.6902, + "step": 22010 + }, + { + "epoch": 2.54, + "learning_rate": 9.822047608042524e-06, + "loss": 1.0276, + "step": 22020 + }, + { + "epoch": 2.55, + "learning_rate": 9.817425467991682e-06, + "loss": 0.7965, + "step": 22030 + }, + { + "epoch": 2.55, + "learning_rate": 9.812803327940837e-06, + "loss": 0.8969, + "step": 22040 + }, + { + "epoch": 2.55, + "learning_rate": 9.808181187889994e-06, + "loss": 0.9207, + "step": 22050 + }, + { + "epoch": 2.55, + "learning_rate": 9.80355904783915e-06, + "loss": 0.7524, + "step": 22060 + }, + { + "epoch": 2.55, + "learning_rate": 9.798936907788307e-06, + "loss": 0.7398, + "step": 22070 + }, + { + "epoch": 2.55, + "learning_rate": 9.794314767737464e-06, + "loss": 0.9246, + "step": 22080 + }, + { + "epoch": 2.55, + "learning_rate": 9.78969262768662e-06, + "loss": 0.8994, + "step": 22090 + }, + { + "epoch": 2.55, + "learning_rate": 9.785070487635775e-06, + "loss": 0.9695, + "step": 22100 + }, + { + "epoch": 2.55, + "learning_rate": 9.780448347584932e-06, + "loss": 0.9925, + "step": 22110 + }, + { + "epoch": 2.56, + "learning_rate": 9.775826207534089e-06, + "loss": 0.7844, + "step": 22120 + }, + { + "epoch": 2.56, + "learning_rate": 9.771204067483245e-06, + "loss": 0.8611, + "step": 22130 + }, + { + "epoch": 2.56, + "learning_rate": 9.766581927432402e-06, + "loss": 0.87, + "step": 22140 + }, + { + "epoch": 2.56, + "learning_rate": 9.761959787381558e-06, + "loss": 0.7969, + "step": 22150 + }, + { + "epoch": 2.56, + "learning_rate": 9.757337647330715e-06, + "loss": 1.0234, + "step": 22160 + }, + { + "epoch": 2.56, + "learning_rate": 9.752715507279872e-06, + "loss": 1.1319, + "step": 22170 + }, + { + "epoch": 2.56, + "learning_rate": 9.748093367229028e-06, + "loss": 0.6985, + "step": 22180 + }, + { + "epoch": 2.56, + "learning_rate": 9.743471227178183e-06, + "loss": 1.0297, + "step": 22190 + }, + { + "epoch": 2.57, + "learning_rate": 9.738849087127342e-06, + "loss": 1.0035, + "step": 22200 + }, + { + "epoch": 2.57, + "learning_rate": 9.734226947076497e-06, + "loss": 1.0273, + "step": 22210 + }, + { + "epoch": 2.57, + "learning_rate": 9.729604807025653e-06, + "loss": 0.8961, + "step": 22220 + }, + { + "epoch": 2.57, + "learning_rate": 9.72498266697481e-06, + "loss": 0.8001, + "step": 22230 + }, + { + "epoch": 2.57, + "learning_rate": 9.720360526923967e-06, + "loss": 0.9669, + "step": 22240 + }, + { + "epoch": 2.57, + "learning_rate": 9.715738386873123e-06, + "loss": 0.8454, + "step": 22250 + }, + { + "epoch": 2.57, + "learning_rate": 9.71111624682228e-06, + "loss": 0.8133, + "step": 22260 + }, + { + "epoch": 2.57, + "learning_rate": 9.706494106771435e-06, + "loss": 0.7349, + "step": 22270 + }, + { + "epoch": 2.57, + "learning_rate": 9.701871966720593e-06, + "loss": 0.6697, + "step": 22280 + }, + { + "epoch": 2.58, + "learning_rate": 9.697249826669748e-06, + "loss": 0.8973, + "step": 22290 + }, + { + "epoch": 2.58, + "learning_rate": 9.692627686618905e-06, + "loss": 1.2562, + "step": 22300 + }, + { + "epoch": 2.58, + "learning_rate": 9.688005546568062e-06, + "loss": 0.871, + "step": 22310 + }, + { + "epoch": 2.58, + "learning_rate": 9.683383406517218e-06, + "loss": 0.9271, + "step": 22320 + }, + { + "epoch": 2.58, + "learning_rate": 9.678761266466375e-06, + "loss": 0.8655, + "step": 22330 + }, + { + "epoch": 2.58, + "learning_rate": 9.674139126415532e-06, + "loss": 0.8413, + "step": 22340 + }, + { + "epoch": 2.58, + "learning_rate": 9.669516986364688e-06, + "loss": 1.0043, + "step": 22350 + }, + { + "epoch": 2.58, + "learning_rate": 9.664894846313843e-06, + "loss": 0.8739, + "step": 22360 + }, + { + "epoch": 2.58, + "learning_rate": 9.660272706263002e-06, + "loss": 0.9009, + "step": 22370 + }, + { + "epoch": 2.59, + "learning_rate": 9.655650566212157e-06, + "loss": 0.844, + "step": 22380 + }, + { + "epoch": 2.59, + "learning_rate": 9.651028426161313e-06, + "loss": 1.0584, + "step": 22390 + }, + { + "epoch": 2.59, + "learning_rate": 9.64640628611047e-06, + "loss": 0.8711, + "step": 22400 + }, + { + "epoch": 2.59, + "learning_rate": 9.641784146059627e-06, + "loss": 0.8438, + "step": 22410 + }, + { + "epoch": 2.59, + "learning_rate": 9.637162006008783e-06, + "loss": 1.0035, + "step": 22420 + }, + { + "epoch": 2.59, + "learning_rate": 9.63253986595794e-06, + "loss": 0.8494, + "step": 22430 + }, + { + "epoch": 2.59, + "learning_rate": 9.627917725907095e-06, + "loss": 1.0892, + "step": 22440 + }, + { + "epoch": 2.59, + "learning_rate": 9.623295585856253e-06, + "loss": 0.7324, + "step": 22450 + }, + { + "epoch": 2.6, + "learning_rate": 9.618673445805408e-06, + "loss": 0.9658, + "step": 22460 + }, + { + "epoch": 2.6, + "learning_rate": 9.614051305754565e-06, + "loss": 0.9834, + "step": 22470 + }, + { + "epoch": 2.6, + "learning_rate": 9.609429165703721e-06, + "loss": 0.8007, + "step": 22480 + }, + { + "epoch": 2.6, + "learning_rate": 9.604807025652878e-06, + "loss": 1.031, + "step": 22490 + }, + { + "epoch": 2.6, + "learning_rate": 9.600184885602035e-06, + "loss": 1.1524, + "step": 22500 + }, + { + "epoch": 2.6, + "learning_rate": 9.595562745551191e-06, + "loss": 0.737, + "step": 22510 + }, + { + "epoch": 2.6, + "learning_rate": 9.590940605500348e-06, + "loss": 0.8428, + "step": 22520 + }, + { + "epoch": 2.6, + "learning_rate": 9.586318465449503e-06, + "loss": 0.9316, + "step": 22530 + }, + { + "epoch": 2.6, + "learning_rate": 9.581696325398661e-06, + "loss": 0.8354, + "step": 22540 + }, + { + "epoch": 2.61, + "learning_rate": 9.577074185347816e-06, + "loss": 0.8014, + "step": 22550 + }, + { + "epoch": 2.61, + "learning_rate": 9.572452045296973e-06, + "loss": 1.003, + "step": 22560 + }, + { + "epoch": 2.61, + "learning_rate": 9.56782990524613e-06, + "loss": 1.2326, + "step": 22570 + }, + { + "epoch": 2.61, + "learning_rate": 9.563207765195286e-06, + "loss": 1.0257, + "step": 22580 + }, + { + "epoch": 2.61, + "learning_rate": 9.558585625144443e-06, + "loss": 0.8363, + "step": 22590 + }, + { + "epoch": 2.61, + "learning_rate": 9.5539634850936e-06, + "loss": 0.9026, + "step": 22600 + }, + { + "epoch": 2.61, + "learning_rate": 9.549341345042755e-06, + "loss": 0.8601, + "step": 22610 + }, + { + "epoch": 2.61, + "learning_rate": 9.544719204991913e-06, + "loss": 0.8144, + "step": 22620 + }, + { + "epoch": 2.61, + "learning_rate": 9.540097064941068e-06, + "loss": 0.7403, + "step": 22630 + }, + { + "epoch": 2.62, + "learning_rate": 9.535474924890225e-06, + "loss": 0.7535, + "step": 22640 + }, + { + "epoch": 2.62, + "learning_rate": 9.530852784839381e-06, + "loss": 0.9087, + "step": 22650 + }, + { + "epoch": 2.62, + "learning_rate": 9.526230644788538e-06, + "loss": 0.9578, + "step": 22660 + }, + { + "epoch": 2.62, + "learning_rate": 9.521608504737695e-06, + "loss": 0.8527, + "step": 22670 + }, + { + "epoch": 2.62, + "learning_rate": 9.516986364686851e-06, + "loss": 0.7917, + "step": 22680 + }, + { + "epoch": 2.62, + "learning_rate": 9.512364224636008e-06, + "loss": 0.9062, + "step": 22690 + }, + { + "epoch": 2.62, + "learning_rate": 9.507742084585164e-06, + "loss": 0.8477, + "step": 22700 + }, + { + "epoch": 2.62, + "learning_rate": 9.503119944534321e-06, + "loss": 0.8676, + "step": 22710 + }, + { + "epoch": 2.63, + "learning_rate": 9.498497804483476e-06, + "loss": 0.8137, + "step": 22720 + }, + { + "epoch": 2.63, + "learning_rate": 9.493875664432633e-06, + "loss": 0.9653, + "step": 22730 + }, + { + "epoch": 2.63, + "learning_rate": 9.48925352438179e-06, + "loss": 0.7769, + "step": 22740 + }, + { + "epoch": 2.63, + "learning_rate": 9.484631384330946e-06, + "loss": 0.9905, + "step": 22750 + }, + { + "epoch": 2.63, + "learning_rate": 9.480009244280103e-06, + "loss": 0.9362, + "step": 22760 + }, + { + "epoch": 2.63, + "learning_rate": 9.47538710422926e-06, + "loss": 1.0804, + "step": 22770 + }, + { + "epoch": 2.63, + "learning_rate": 9.470764964178414e-06, + "loss": 0.7481, + "step": 22780 + }, + { + "epoch": 2.63, + "learning_rate": 9.466142824127573e-06, + "loss": 0.8879, + "step": 22790 + }, + { + "epoch": 2.63, + "learning_rate": 9.461520684076728e-06, + "loss": 0.8479, + "step": 22800 + }, + { + "epoch": 2.64, + "learning_rate": 9.456898544025884e-06, + "loss": 1.0521, + "step": 22810 + }, + { + "epoch": 2.64, + "learning_rate": 9.452276403975041e-06, + "loss": 1.0407, + "step": 22820 + }, + { + "epoch": 2.64, + "learning_rate": 9.447654263924198e-06, + "loss": 0.9602, + "step": 22830 + }, + { + "epoch": 2.64, + "learning_rate": 9.443032123873354e-06, + "loss": 0.9742, + "step": 22840 + }, + { + "epoch": 2.64, + "learning_rate": 9.438409983822511e-06, + "loss": 0.7545, + "step": 22850 + }, + { + "epoch": 2.64, + "learning_rate": 9.433787843771668e-06, + "loss": 1.0003, + "step": 22860 + }, + { + "epoch": 2.64, + "learning_rate": 9.429165703720824e-06, + "loss": 0.7833, + "step": 22870 + }, + { + "epoch": 2.64, + "learning_rate": 9.42454356366998e-06, + "loss": 0.7761, + "step": 22880 + }, + { + "epoch": 2.65, + "learning_rate": 9.419921423619136e-06, + "loss": 0.8124, + "step": 22890 + }, + { + "epoch": 2.65, + "learning_rate": 9.415299283568293e-06, + "loss": 0.8137, + "step": 22900 + }, + { + "epoch": 2.65, + "learning_rate": 9.41067714351745e-06, + "loss": 0.9203, + "step": 22910 + }, + { + "epoch": 2.65, + "learning_rate": 9.406055003466606e-06, + "loss": 0.7716, + "step": 22920 + }, + { + "epoch": 2.65, + "learning_rate": 9.401432863415763e-06, + "loss": 0.9299, + "step": 22930 + }, + { + "epoch": 2.65, + "learning_rate": 9.39681072336492e-06, + "loss": 0.9361, + "step": 22940 + }, + { + "epoch": 2.65, + "learning_rate": 9.392188583314074e-06, + "loss": 0.8519, + "step": 22950 + }, + { + "epoch": 2.65, + "learning_rate": 9.387566443263232e-06, + "loss": 0.8898, + "step": 22960 + }, + { + "epoch": 2.65, + "learning_rate": 9.382944303212387e-06, + "loss": 0.7008, + "step": 22970 + }, + { + "epoch": 2.66, + "learning_rate": 9.378322163161546e-06, + "loss": 0.7612, + "step": 22980 + }, + { + "epoch": 2.66, + "learning_rate": 9.3737000231107e-06, + "loss": 0.8519, + "step": 22990 + }, + { + "epoch": 2.66, + "learning_rate": 9.369077883059857e-06, + "loss": 0.6735, + "step": 23000 + }, + { + "epoch": 2.66, + "learning_rate": 9.364455743009014e-06, + "loss": 1.2125, + "step": 23010 + }, + { + "epoch": 2.66, + "learning_rate": 9.35983360295817e-06, + "loss": 1.0433, + "step": 23020 + }, + { + "epoch": 2.66, + "learning_rate": 9.355211462907326e-06, + "loss": 0.8757, + "step": 23030 + }, + { + "epoch": 2.66, + "learning_rate": 9.350589322856484e-06, + "loss": 0.9316, + "step": 23040 + }, + { + "epoch": 2.66, + "learning_rate": 9.345967182805639e-06, + "loss": 0.7255, + "step": 23050 + }, + { + "epoch": 2.66, + "learning_rate": 9.341345042754796e-06, + "loss": 0.8006, + "step": 23060 + }, + { + "epoch": 2.67, + "learning_rate": 9.336722902703952e-06, + "loss": 0.7872, + "step": 23070 + }, + { + "epoch": 2.67, + "learning_rate": 9.332100762653109e-06, + "loss": 0.9695, + "step": 23080 + }, + { + "epoch": 2.67, + "learning_rate": 9.327478622602266e-06, + "loss": 0.8858, + "step": 23090 + }, + { + "epoch": 2.67, + "learning_rate": 9.322856482551422e-06, + "loss": 0.5721, + "step": 23100 + }, + { + "epoch": 2.67, + "learning_rate": 9.318234342500579e-06, + "loss": 0.8212, + "step": 23110 + }, + { + "epoch": 2.67, + "learning_rate": 9.313612202449736e-06, + "loss": 0.7938, + "step": 23120 + }, + { + "epoch": 2.67, + "learning_rate": 9.308990062398892e-06, + "loss": 0.8981, + "step": 23130 + }, + { + "epoch": 2.67, + "learning_rate": 9.304367922348047e-06, + "loss": 0.5163, + "step": 23140 + }, + { + "epoch": 2.68, + "learning_rate": 9.299745782297206e-06, + "loss": 0.804, + "step": 23150 + }, + { + "epoch": 2.68, + "learning_rate": 9.29512364224636e-06, + "loss": 0.9714, + "step": 23160 + }, + { + "epoch": 2.68, + "learning_rate": 9.290501502195517e-06, + "loss": 0.8045, + "step": 23170 + }, + { + "epoch": 2.68, + "learning_rate": 9.285879362144674e-06, + "loss": 0.9795, + "step": 23180 + }, + { + "epoch": 2.68, + "learning_rate": 9.28125722209383e-06, + "loss": 1.0491, + "step": 23190 + }, + { + "epoch": 2.68, + "learning_rate": 9.276635082042985e-06, + "loss": 1.0075, + "step": 23200 + }, + { + "epoch": 2.68, + "learning_rate": 9.272012941992144e-06, + "loss": 0.9494, + "step": 23210 + }, + { + "epoch": 2.68, + "learning_rate": 9.267390801941299e-06, + "loss": 0.9176, + "step": 23220 + }, + { + "epoch": 2.68, + "learning_rate": 9.262768661890455e-06, + "loss": 1.0492, + "step": 23230 + }, + { + "epoch": 2.69, + "learning_rate": 9.258146521839612e-06, + "loss": 0.6521, + "step": 23240 + }, + { + "epoch": 2.69, + "learning_rate": 9.253524381788769e-06, + "loss": 1.0505, + "step": 23250 + }, + { + "epoch": 2.69, + "learning_rate": 9.248902241737925e-06, + "loss": 0.9383, + "step": 23260 + }, + { + "epoch": 2.69, + "learning_rate": 9.244280101687082e-06, + "loss": 0.7002, + "step": 23270 + }, + { + "epoch": 2.69, + "learning_rate": 9.239657961636239e-06, + "loss": 0.9339, + "step": 23280 + }, + { + "epoch": 2.69, + "learning_rate": 9.235035821585395e-06, + "loss": 0.653, + "step": 23290 + }, + { + "epoch": 2.69, + "learning_rate": 9.230413681534552e-06, + "loss": 0.958, + "step": 23300 + }, + { + "epoch": 2.69, + "learning_rate": 9.225791541483707e-06, + "loss": 0.941, + "step": 23310 + }, + { + "epoch": 2.69, + "learning_rate": 9.221169401432865e-06, + "loss": 0.8605, + "step": 23320 + }, + { + "epoch": 2.7, + "learning_rate": 9.21654726138202e-06, + "loss": 0.9308, + "step": 23330 + }, + { + "epoch": 2.7, + "learning_rate": 9.211925121331177e-06, + "loss": 0.8214, + "step": 23340 + }, + { + "epoch": 2.7, + "learning_rate": 9.207302981280334e-06, + "loss": 0.9443, + "step": 23350 + }, + { + "epoch": 2.7, + "learning_rate": 9.20268084122949e-06, + "loss": 0.9344, + "step": 23360 + }, + { + "epoch": 2.7, + "learning_rate": 9.198058701178645e-06, + "loss": 0.8099, + "step": 23370 + }, + { + "epoch": 2.7, + "learning_rate": 9.193436561127804e-06, + "loss": 0.8545, + "step": 23380 + }, + { + "epoch": 2.7, + "learning_rate": 9.188814421076959e-06, + "loss": 0.8111, + "step": 23390 + }, + { + "epoch": 2.7, + "learning_rate": 9.184192281026117e-06, + "loss": 1.0546, + "step": 23400 + }, + { + "epoch": 2.71, + "learning_rate": 9.179570140975272e-06, + "loss": 0.8869, + "step": 23410 + }, + { + "epoch": 2.71, + "learning_rate": 9.174948000924429e-06, + "loss": 1.0196, + "step": 23420 + }, + { + "epoch": 2.71, + "learning_rate": 9.170325860873585e-06, + "loss": 0.8878, + "step": 23430 + }, + { + "epoch": 2.71, + "learning_rate": 9.165703720822742e-06, + "loss": 0.9752, + "step": 23440 + }, + { + "epoch": 2.71, + "learning_rate": 9.161081580771899e-06, + "loss": 0.7861, + "step": 23450 + }, + { + "epoch": 2.71, + "learning_rate": 9.156459440721055e-06, + "loss": 0.7567, + "step": 23460 + }, + { + "epoch": 2.71, + "learning_rate": 9.151837300670212e-06, + "loss": 1.0566, + "step": 23470 + }, + { + "epoch": 2.71, + "learning_rate": 9.147215160619367e-06, + "loss": 0.7816, + "step": 23480 + }, + { + "epoch": 2.71, + "learning_rate": 9.142593020568523e-06, + "loss": 0.7992, + "step": 23490 + }, + { + "epoch": 2.72, + "learning_rate": 9.13797088051768e-06, + "loss": 0.8454, + "step": 23500 + }, + { + "epoch": 2.72, + "learning_rate": 9.133348740466837e-06, + "loss": 0.946, + "step": 23510 + }, + { + "epoch": 2.72, + "learning_rate": 9.128726600415993e-06, + "loss": 0.8501, + "step": 23520 + }, + { + "epoch": 2.72, + "learning_rate": 9.12410446036515e-06, + "loss": 0.9958, + "step": 23530 + }, + { + "epoch": 2.72, + "learning_rate": 9.119482320314307e-06, + "loss": 0.7717, + "step": 23540 + }, + { + "epoch": 2.72, + "learning_rate": 9.114860180263463e-06, + "loss": 0.9576, + "step": 23550 + }, + { + "epoch": 2.72, + "learning_rate": 9.110238040212618e-06, + "loss": 0.9645, + "step": 23560 + }, + { + "epoch": 2.72, + "learning_rate": 9.105615900161777e-06, + "loss": 0.9138, + "step": 23570 + }, + { + "epoch": 2.72, + "learning_rate": 9.100993760110932e-06, + "loss": 0.9148, + "step": 23580 + }, + { + "epoch": 2.73, + "learning_rate": 9.096371620060088e-06, + "loss": 0.8028, + "step": 23590 + }, + { + "epoch": 2.73, + "learning_rate": 9.091749480009245e-06, + "loss": 0.7522, + "step": 23600 + }, + { + "epoch": 2.73, + "learning_rate": 9.087127339958402e-06, + "loss": 1.0922, + "step": 23610 + }, + { + "epoch": 2.73, + "learning_rate": 9.082505199907558e-06, + "loss": 0.6681, + "step": 23620 + }, + { + "epoch": 2.73, + "learning_rate": 9.077883059856715e-06, + "loss": 0.847, + "step": 23630 + }, + { + "epoch": 2.73, + "learning_rate": 9.07326091980587e-06, + "loss": 0.8098, + "step": 23640 + }, + { + "epoch": 2.73, + "learning_rate": 9.068638779755027e-06, + "loss": 0.8009, + "step": 23650 + }, + { + "epoch": 2.73, + "learning_rate": 9.064016639704183e-06, + "loss": 0.9229, + "step": 23660 + }, + { + "epoch": 2.74, + "learning_rate": 9.05939449965334e-06, + "loss": 0.8725, + "step": 23670 + }, + { + "epoch": 2.74, + "learning_rate": 9.054772359602497e-06, + "loss": 0.7768, + "step": 23680 + }, + { + "epoch": 2.74, + "learning_rate": 9.050150219551653e-06, + "loss": 0.9849, + "step": 23690 + }, + { + "epoch": 2.74, + "learning_rate": 9.04552807950081e-06, + "loss": 0.6763, + "step": 23700 + }, + { + "epoch": 2.74, + "learning_rate": 9.040905939449967e-06, + "loss": 0.9658, + "step": 23710 + }, + { + "epoch": 2.74, + "learning_rate": 9.036283799399123e-06, + "loss": 0.8474, + "step": 23720 + }, + { + "epoch": 2.74, + "learning_rate": 9.031661659348278e-06, + "loss": 0.8122, + "step": 23730 + }, + { + "epoch": 2.74, + "learning_rate": 9.027039519297436e-06, + "loss": 0.9973, + "step": 23740 + }, + { + "epoch": 2.74, + "learning_rate": 9.022417379246591e-06, + "loss": 0.8249, + "step": 23750 + }, + { + "epoch": 2.75, + "learning_rate": 9.017795239195748e-06, + "loss": 0.9877, + "step": 23760 + }, + { + "epoch": 2.75, + "learning_rate": 9.013173099144905e-06, + "loss": 0.7181, + "step": 23770 + }, + { + "epoch": 2.75, + "learning_rate": 9.008550959094061e-06, + "loss": 0.857, + "step": 23780 + }, + { + "epoch": 2.75, + "learning_rate": 9.003928819043218e-06, + "loss": 0.9475, + "step": 23790 + }, + { + "epoch": 2.75, + "learning_rate": 8.999306678992375e-06, + "loss": 0.8696, + "step": 23800 + }, + { + "epoch": 2.75, + "learning_rate": 8.99468453894153e-06, + "loss": 0.8339, + "step": 23810 + }, + { + "epoch": 2.75, + "learning_rate": 8.990062398890688e-06, + "loss": 1.0996, + "step": 23820 + }, + { + "epoch": 2.75, + "learning_rate": 8.985440258839843e-06, + "loss": 1.0961, + "step": 23830 + }, + { + "epoch": 2.75, + "learning_rate": 8.980818118789e-06, + "loss": 0.8156, + "step": 23840 + }, + { + "epoch": 2.76, + "learning_rate": 8.976195978738156e-06, + "loss": 0.954, + "step": 23850 + }, + { + "epoch": 2.76, + "learning_rate": 8.971573838687313e-06, + "loss": 0.8331, + "step": 23860 + }, + { + "epoch": 2.76, + "learning_rate": 8.96695169863647e-06, + "loss": 0.6473, + "step": 23870 + }, + { + "epoch": 2.76, + "learning_rate": 8.962329558585626e-06, + "loss": 0.6804, + "step": 23880 + }, + { + "epoch": 2.76, + "learning_rate": 8.957707418534783e-06, + "loss": 0.9424, + "step": 23890 + }, + { + "epoch": 2.76, + "learning_rate": 8.953085278483938e-06, + "loss": 0.8521, + "step": 23900 + }, + { + "epoch": 2.76, + "learning_rate": 8.948463138433096e-06, + "loss": 0.8613, + "step": 23910 + }, + { + "epoch": 2.76, + "learning_rate": 8.943840998382251e-06, + "loss": 0.838, + "step": 23920 + }, + { + "epoch": 2.77, + "learning_rate": 8.939218858331408e-06, + "loss": 0.5908, + "step": 23930 + }, + { + "epoch": 2.77, + "learning_rate": 8.934596718280565e-06, + "loss": 0.8873, + "step": 23940 + }, + { + "epoch": 2.77, + "learning_rate": 8.929974578229721e-06, + "loss": 1.0882, + "step": 23950 + }, + { + "epoch": 2.77, + "learning_rate": 8.925352438178878e-06, + "loss": 0.6851, + "step": 23960 + }, + { + "epoch": 2.77, + "learning_rate": 8.920730298128035e-06, + "loss": 0.8564, + "step": 23970 + }, + { + "epoch": 2.77, + "learning_rate": 8.91610815807719e-06, + "loss": 0.7541, + "step": 23980 + }, + { + "epoch": 2.77, + "learning_rate": 8.911486018026348e-06, + "loss": 0.929, + "step": 23990 + }, + { + "epoch": 2.77, + "learning_rate": 8.906863877975503e-06, + "loss": 1.0542, + "step": 24000 + }, + { + "epoch": 2.77, + "learning_rate": 8.90224173792466e-06, + "loss": 0.9233, + "step": 24010 + }, + { + "epoch": 2.78, + "learning_rate": 8.897619597873816e-06, + "loss": 1.0838, + "step": 24020 + }, + { + "epoch": 2.78, + "learning_rate": 8.892997457822973e-06, + "loss": 0.7336, + "step": 24030 + }, + { + "epoch": 2.78, + "learning_rate": 8.88837531777213e-06, + "loss": 0.9847, + "step": 24040 + }, + { + "epoch": 2.78, + "learning_rate": 8.883753177721286e-06, + "loss": 0.9604, + "step": 24050 + }, + { + "epoch": 2.78, + "learning_rate": 8.879131037670443e-06, + "loss": 0.7175, + "step": 24060 + }, + { + "epoch": 2.78, + "learning_rate": 8.874508897619598e-06, + "loss": 0.7646, + "step": 24070 + }, + { + "epoch": 2.78, + "learning_rate": 8.869886757568756e-06, + "loss": 0.8674, + "step": 24080 + }, + { + "epoch": 2.78, + "learning_rate": 8.865264617517911e-06, + "loss": 0.7047, + "step": 24090 + }, + { + "epoch": 2.78, + "learning_rate": 8.860642477467068e-06, + "loss": 1.1347, + "step": 24100 + }, + { + "epoch": 2.79, + "learning_rate": 8.856020337416224e-06, + "loss": 0.6839, + "step": 24110 + }, + { + "epoch": 2.79, + "learning_rate": 8.851398197365381e-06, + "loss": 0.804, + "step": 24120 + }, + { + "epoch": 2.79, + "learning_rate": 8.846776057314538e-06, + "loss": 0.8234, + "step": 24130 + }, + { + "epoch": 2.79, + "learning_rate": 8.842153917263694e-06, + "loss": 0.8683, + "step": 24140 + }, + { + "epoch": 2.79, + "learning_rate": 8.83753177721285e-06, + "loss": 0.9792, + "step": 24150 + }, + { + "epoch": 2.79, + "learning_rate": 8.832909637162008e-06, + "loss": 1.0127, + "step": 24160 + }, + { + "epoch": 2.79, + "learning_rate": 8.828287497111163e-06, + "loss": 1.1185, + "step": 24170 + }, + { + "epoch": 2.79, + "learning_rate": 8.82366535706032e-06, + "loss": 0.6551, + "step": 24180 + }, + { + "epoch": 2.8, + "learning_rate": 8.819043217009476e-06, + "loss": 1.0182, + "step": 24190 + }, + { + "epoch": 2.8, + "learning_rate": 8.814421076958633e-06, + "loss": 0.9794, + "step": 24200 + }, + { + "epoch": 2.8, + "learning_rate": 8.80979893690779e-06, + "loss": 0.8763, + "step": 24210 + }, + { + "epoch": 2.8, + "learning_rate": 8.805176796856946e-06, + "loss": 0.742, + "step": 24220 + }, + { + "epoch": 2.8, + "learning_rate": 8.800554656806103e-06, + "loss": 0.9251, + "step": 24230 + }, + { + "epoch": 2.8, + "learning_rate": 8.79593251675526e-06, + "loss": 0.8673, + "step": 24240 + }, + { + "epoch": 2.8, + "learning_rate": 8.791310376704416e-06, + "loss": 1.0506, + "step": 24250 + }, + { + "epoch": 2.8, + "learning_rate": 8.78668823665357e-06, + "loss": 0.838, + "step": 24260 + }, + { + "epoch": 2.8, + "learning_rate": 8.782066096602727e-06, + "loss": 0.9414, + "step": 24270 + }, + { + "epoch": 2.81, + "learning_rate": 8.777443956551884e-06, + "loss": 0.8974, + "step": 24280 + }, + { + "epoch": 2.81, + "learning_rate": 8.77282181650104e-06, + "loss": 0.6754, + "step": 24290 + }, + { + "epoch": 2.81, + "learning_rate": 8.768199676450197e-06, + "loss": 0.634, + "step": 24300 + }, + { + "epoch": 2.81, + "learning_rate": 8.763577536399354e-06, + "loss": 0.8932, + "step": 24310 + }, + { + "epoch": 2.81, + "learning_rate": 8.758955396348509e-06, + "loss": 0.6471, + "step": 24320 + }, + { + "epoch": 2.81, + "learning_rate": 8.754333256297667e-06, + "loss": 0.9807, + "step": 24330 + }, + { + "epoch": 2.81, + "learning_rate": 8.749711116246822e-06, + "loss": 1.0148, + "step": 24340 + }, + { + "epoch": 2.81, + "learning_rate": 8.745088976195979e-06, + "loss": 0.8961, + "step": 24350 + }, + { + "epoch": 2.81, + "learning_rate": 8.740466836145136e-06, + "loss": 0.884, + "step": 24360 + }, + { + "epoch": 2.82, + "learning_rate": 8.735844696094292e-06, + "loss": 0.8816, + "step": 24370 + }, + { + "epoch": 2.82, + "learning_rate": 8.731222556043449e-06, + "loss": 1.0431, + "step": 24380 + }, + { + "epoch": 2.82, + "learning_rate": 8.726600415992606e-06, + "loss": 0.8227, + "step": 24390 + }, + { + "epoch": 2.82, + "learning_rate": 8.721978275941762e-06, + "loss": 0.7469, + "step": 24400 + }, + { + "epoch": 2.82, + "learning_rate": 8.717356135890919e-06, + "loss": 0.7272, + "step": 24410 + }, + { + "epoch": 2.82, + "learning_rate": 8.712733995840074e-06, + "loss": 1.0465, + "step": 24420 + }, + { + "epoch": 2.82, + "learning_rate": 8.70811185578923e-06, + "loss": 0.5699, + "step": 24430 + }, + { + "epoch": 2.82, + "learning_rate": 8.703489715738387e-06, + "loss": 0.7001, + "step": 24440 + }, + { + "epoch": 2.83, + "learning_rate": 8.698867575687544e-06, + "loss": 0.804, + "step": 24450 + }, + { + "epoch": 2.83, + "learning_rate": 8.6942454356367e-06, + "loss": 1.1156, + "step": 24460 + }, + { + "epoch": 2.83, + "learning_rate": 8.689623295585857e-06, + "loss": 0.9704, + "step": 24470 + }, + { + "epoch": 2.83, + "learning_rate": 8.685001155535014e-06, + "loss": 0.9821, + "step": 24480 + }, + { + "epoch": 2.83, + "learning_rate": 8.680379015484169e-06, + "loss": 1.0867, + "step": 24490 + }, + { + "epoch": 2.83, + "learning_rate": 8.675756875433327e-06, + "loss": 1.0561, + "step": 24500 + }, + { + "epoch": 2.83, + "learning_rate": 8.671134735382482e-06, + "loss": 1.0991, + "step": 24510 + }, + { + "epoch": 2.83, + "learning_rate": 8.66651259533164e-06, + "loss": 0.9112, + "step": 24520 + }, + { + "epoch": 2.83, + "learning_rate": 8.661890455280795e-06, + "loss": 0.8459, + "step": 24530 + }, + { + "epoch": 2.84, + "learning_rate": 8.657268315229952e-06, + "loss": 0.8564, + "step": 24540 + }, + { + "epoch": 2.84, + "learning_rate": 8.652646175179109e-06, + "loss": 1.0557, + "step": 24550 + }, + { + "epoch": 2.84, + "learning_rate": 8.648024035128265e-06, + "loss": 1.0189, + "step": 24560 + }, + { + "epoch": 2.84, + "learning_rate": 8.64340189507742e-06, + "loss": 0.7821, + "step": 24570 + }, + { + "epoch": 2.84, + "learning_rate": 8.638779755026579e-06, + "loss": 0.5513, + "step": 24580 + }, + { + "epoch": 2.84, + "learning_rate": 8.634157614975734e-06, + "loss": 0.9305, + "step": 24590 + }, + { + "epoch": 2.84, + "learning_rate": 8.62953547492489e-06, + "loss": 0.8948, + "step": 24600 + }, + { + "epoch": 2.84, + "learning_rate": 8.624913334874047e-06, + "loss": 1.0453, + "step": 24610 + }, + { + "epoch": 2.84, + "learning_rate": 8.620291194823204e-06, + "loss": 0.7534, + "step": 24620 + }, + { + "epoch": 2.85, + "learning_rate": 8.61566905477236e-06, + "loss": 0.7355, + "step": 24630 + }, + { + "epoch": 2.85, + "learning_rate": 8.611046914721517e-06, + "loss": 0.8485, + "step": 24640 + }, + { + "epoch": 2.85, + "learning_rate": 8.606424774670674e-06, + "loss": 0.9669, + "step": 24650 + }, + { + "epoch": 2.85, + "learning_rate": 8.60180263461983e-06, + "loss": 0.9852, + "step": 24660 + }, + { + "epoch": 2.85, + "learning_rate": 8.597180494568987e-06, + "loss": 0.87, + "step": 24670 + }, + { + "epoch": 2.85, + "learning_rate": 8.592558354518142e-06, + "loss": 1.0162, + "step": 24680 + }, + { + "epoch": 2.85, + "learning_rate": 8.5879362144673e-06, + "loss": 0.9247, + "step": 24690 + }, + { + "epoch": 2.85, + "learning_rate": 8.583314074416455e-06, + "loss": 1.0942, + "step": 24700 + }, + { + "epoch": 2.86, + "learning_rate": 8.578691934365612e-06, + "loss": 0.7425, + "step": 24710 + }, + { + "epoch": 2.86, + "learning_rate": 8.574069794314769e-06, + "loss": 0.8693, + "step": 24720 + }, + { + "epoch": 2.86, + "learning_rate": 8.569447654263925e-06, + "loss": 0.8129, + "step": 24730 + }, + { + "epoch": 2.86, + "learning_rate": 8.56482551421308e-06, + "loss": 0.9842, + "step": 24740 + }, + { + "epoch": 2.86, + "learning_rate": 8.560203374162239e-06, + "loss": 0.9679, + "step": 24750 + }, + { + "epoch": 2.86, + "learning_rate": 8.555581234111394e-06, + "loss": 0.8833, + "step": 24760 + }, + { + "epoch": 2.86, + "learning_rate": 8.55095909406055e-06, + "loss": 0.6988, + "step": 24770 + }, + { + "epoch": 2.86, + "learning_rate": 8.546336954009707e-06, + "loss": 0.9362, + "step": 24780 + }, + { + "epoch": 2.86, + "learning_rate": 8.541714813958863e-06, + "loss": 1.0149, + "step": 24790 + }, + { + "epoch": 2.87, + "learning_rate": 8.53709267390802e-06, + "loss": 0.8466, + "step": 24800 + }, + { + "epoch": 2.87, + "learning_rate": 8.532470533857177e-06, + "loss": 0.9058, + "step": 24810 + }, + { + "epoch": 2.87, + "learning_rate": 8.527848393806333e-06, + "loss": 0.8385, + "step": 24820 + }, + { + "epoch": 2.87, + "learning_rate": 8.52322625375549e-06, + "loss": 0.7963, + "step": 24830 + }, + { + "epoch": 2.87, + "learning_rate": 8.518604113704647e-06, + "loss": 0.9455, + "step": 24840 + }, + { + "epoch": 2.87, + "learning_rate": 8.513981973653802e-06, + "loss": 0.6225, + "step": 24850 + }, + { + "epoch": 2.87, + "learning_rate": 8.50935983360296e-06, + "loss": 0.8692, + "step": 24860 + }, + { + "epoch": 2.87, + "learning_rate": 8.504737693552115e-06, + "loss": 0.9472, + "step": 24870 + }, + { + "epoch": 2.87, + "learning_rate": 8.500115553501272e-06, + "loss": 0.9731, + "step": 24880 + }, + { + "epoch": 2.88, + "learning_rate": 8.495493413450428e-06, + "loss": 0.8951, + "step": 24890 + }, + { + "epoch": 2.88, + "learning_rate": 8.490871273399585e-06, + "loss": 0.8077, + "step": 24900 + }, + { + "epoch": 2.88, + "learning_rate": 8.48624913334874e-06, + "loss": 0.8705, + "step": 24910 + }, + { + "epoch": 2.88, + "learning_rate": 8.481626993297898e-06, + "loss": 0.85, + "step": 24920 + }, + { + "epoch": 2.88, + "learning_rate": 8.477004853247053e-06, + "loss": 0.864, + "step": 24930 + }, + { + "epoch": 2.88, + "learning_rate": 8.472382713196212e-06, + "loss": 1.011, + "step": 24940 + }, + { + "epoch": 2.88, + "learning_rate": 8.467760573145367e-06, + "loss": 0.7056, + "step": 24950 + }, + { + "epoch": 2.88, + "learning_rate": 8.463138433094523e-06, + "loss": 0.7856, + "step": 24960 + }, + { + "epoch": 2.89, + "learning_rate": 8.45851629304368e-06, + "loss": 1.0237, + "step": 24970 + }, + { + "epoch": 2.89, + "learning_rate": 8.453894152992837e-06, + "loss": 0.6897, + "step": 24980 + }, + { + "epoch": 2.89, + "learning_rate": 8.449272012941993e-06, + "loss": 0.6947, + "step": 24990 + }, + { + "epoch": 2.89, + "learning_rate": 8.44464987289115e-06, + "loss": 1.02, + "step": 25000 + }, + { + "epoch": 2.89, + "learning_rate": 8.440027732840307e-06, + "loss": 0.9227, + "step": 25010 + }, + { + "epoch": 2.89, + "learning_rate": 8.435405592789462e-06, + "loss": 0.7662, + "step": 25020 + }, + { + "epoch": 2.89, + "learning_rate": 8.430783452738618e-06, + "loss": 0.825, + "step": 25030 + }, + { + "epoch": 2.89, + "learning_rate": 8.426161312687775e-06, + "loss": 0.8166, + "step": 25040 + }, + { + "epoch": 2.89, + "learning_rate": 8.421539172636931e-06, + "loss": 0.8658, + "step": 25050 + }, + { + "epoch": 2.9, + "learning_rate": 8.416917032586088e-06, + "loss": 0.9965, + "step": 25060 + }, + { + "epoch": 2.9, + "learning_rate": 8.412294892535245e-06, + "loss": 0.8424, + "step": 25070 + }, + { + "epoch": 2.9, + "learning_rate": 8.407672752484401e-06, + "loss": 1.0854, + "step": 25080 + }, + { + "epoch": 2.9, + "learning_rate": 8.403050612433558e-06, + "loss": 0.8403, + "step": 25090 + }, + { + "epoch": 2.9, + "learning_rate": 8.398428472382713e-06, + "loss": 1.2058, + "step": 25100 + }, + { + "epoch": 2.9, + "learning_rate": 8.393806332331871e-06, + "loss": 0.8759, + "step": 25110 + }, + { + "epoch": 2.9, + "learning_rate": 8.389184192281026e-06, + "loss": 1.1957, + "step": 25120 + }, + { + "epoch": 2.9, + "learning_rate": 8.384562052230183e-06, + "loss": 1.1047, + "step": 25130 + }, + { + "epoch": 2.91, + "learning_rate": 8.37993991217934e-06, + "loss": 0.7602, + "step": 25140 + }, + { + "epoch": 2.91, + "learning_rate": 8.375317772128496e-06, + "loss": 0.6938, + "step": 25150 + }, + { + "epoch": 2.91, + "learning_rate": 8.370695632077653e-06, + "loss": 0.75, + "step": 25160 + }, + { + "epoch": 2.91, + "learning_rate": 8.36607349202681e-06, + "loss": 0.6918, + "step": 25170 + }, + { + "epoch": 2.91, + "learning_rate": 8.361451351975965e-06, + "loss": 0.8083, + "step": 25180 + }, + { + "epoch": 2.91, + "learning_rate": 8.356829211925121e-06, + "loss": 1.026, + "step": 25190 + }, + { + "epoch": 2.91, + "learning_rate": 8.352207071874278e-06, + "loss": 0.9123, + "step": 25200 + }, + { + "epoch": 2.91, + "learning_rate": 8.347584931823435e-06, + "loss": 1.0341, + "step": 25210 + }, + { + "epoch": 2.91, + "learning_rate": 8.342962791772591e-06, + "loss": 1.1153, + "step": 25220 + }, + { + "epoch": 2.92, + "learning_rate": 8.338340651721748e-06, + "loss": 0.9839, + "step": 25230 + }, + { + "epoch": 2.92, + "learning_rate": 8.333718511670905e-06, + "loss": 0.9697, + "step": 25240 + }, + { + "epoch": 2.92, + "learning_rate": 8.329096371620061e-06, + "loss": 1.1724, + "step": 25250 + }, + { + "epoch": 2.92, + "learning_rate": 8.324474231569218e-06, + "loss": 0.8453, + "step": 25260 + }, + { + "epoch": 2.92, + "learning_rate": 8.319852091518373e-06, + "loss": 0.843, + "step": 25270 + }, + { + "epoch": 2.92, + "learning_rate": 8.315229951467531e-06, + "loss": 0.9656, + "step": 25280 + }, + { + "epoch": 2.92, + "learning_rate": 8.310607811416686e-06, + "loss": 1.0792, + "step": 25290 + }, + { + "epoch": 2.92, + "learning_rate": 8.305985671365843e-06, + "loss": 0.7434, + "step": 25300 + }, + { + "epoch": 2.92, + "learning_rate": 8.301363531315e-06, + "loss": 0.8482, + "step": 25310 + }, + { + "epoch": 2.93, + "learning_rate": 8.296741391264156e-06, + "loss": 0.9359, + "step": 25320 + }, + { + "epoch": 2.93, + "learning_rate": 8.292119251213313e-06, + "loss": 0.927, + "step": 25330 + }, + { + "epoch": 2.93, + "learning_rate": 8.28749711116247e-06, + "loss": 0.8104, + "step": 25340 + }, + { + "epoch": 2.93, + "learning_rate": 8.282874971111624e-06, + "loss": 0.9688, + "step": 25350 + }, + { + "epoch": 2.93, + "learning_rate": 8.278252831060783e-06, + "loss": 0.9255, + "step": 25360 + }, + { + "epoch": 2.93, + "learning_rate": 8.273630691009938e-06, + "loss": 0.7265, + "step": 25370 + }, + { + "epoch": 2.93, + "learning_rate": 8.269008550959094e-06, + "loss": 0.7843, + "step": 25380 + }, + { + "epoch": 2.93, + "learning_rate": 8.264386410908251e-06, + "loss": 0.7088, + "step": 25390 + }, + { + "epoch": 2.94, + "learning_rate": 8.259764270857408e-06, + "loss": 0.6457, + "step": 25400 + }, + { + "epoch": 2.94, + "learning_rate": 8.255142130806564e-06, + "loss": 1.1505, + "step": 25410 + }, + { + "epoch": 2.94, + "learning_rate": 8.250519990755721e-06, + "loss": 1.0553, + "step": 25420 + }, + { + "epoch": 2.94, + "learning_rate": 8.245897850704878e-06, + "loss": 0.9515, + "step": 25430 + }, + { + "epoch": 2.94, + "learning_rate": 8.241275710654033e-06, + "loss": 0.8825, + "step": 25440 + }, + { + "epoch": 2.94, + "learning_rate": 8.236653570603191e-06, + "loss": 0.8206, + "step": 25450 + }, + { + "epoch": 2.94, + "learning_rate": 8.232031430552346e-06, + "loss": 0.6315, + "step": 25460 + }, + { + "epoch": 2.94, + "learning_rate": 8.227409290501503e-06, + "loss": 1.0637, + "step": 25470 + }, + { + "epoch": 2.94, + "learning_rate": 8.22278715045066e-06, + "loss": 0.8162, + "step": 25480 + }, + { + "epoch": 2.95, + "learning_rate": 8.218165010399816e-06, + "loss": 0.7747, + "step": 25490 + }, + { + "epoch": 2.95, + "learning_rate": 8.213542870348973e-06, + "loss": 0.9516, + "step": 25500 + }, + { + "epoch": 2.95, + "learning_rate": 8.20892073029813e-06, + "loss": 0.8392, + "step": 25510 + }, + { + "epoch": 2.95, + "learning_rate": 8.204298590247284e-06, + "loss": 0.8624, + "step": 25520 + }, + { + "epoch": 2.95, + "learning_rate": 8.199676450196443e-06, + "loss": 1.1022, + "step": 25530 + }, + { + "epoch": 2.95, + "learning_rate": 8.195054310145598e-06, + "loss": 0.7795, + "step": 25540 + }, + { + "epoch": 2.95, + "learning_rate": 8.190432170094754e-06, + "loss": 0.5964, + "step": 25550 + }, + { + "epoch": 2.95, + "learning_rate": 8.18581003004391e-06, + "loss": 1.1009, + "step": 25560 + }, + { + "epoch": 2.95, + "learning_rate": 8.181187889993067e-06, + "loss": 0.9862, + "step": 25570 + }, + { + "epoch": 2.96, + "learning_rate": 8.176565749942224e-06, + "loss": 0.9525, + "step": 25580 + }, + { + "epoch": 2.96, + "learning_rate": 8.17194360989138e-06, + "loss": 0.9146, + "step": 25590 + }, + { + "epoch": 2.96, + "learning_rate": 8.167321469840537e-06, + "loss": 0.7231, + "step": 25600 + }, + { + "epoch": 2.96, + "learning_rate": 8.162699329789692e-06, + "loss": 0.7637, + "step": 25610 + }, + { + "epoch": 2.96, + "learning_rate": 8.15807718973885e-06, + "loss": 0.9597, + "step": 25620 + }, + { + "epoch": 2.96, + "learning_rate": 8.153455049688006e-06, + "loss": 0.9176, + "step": 25630 + }, + { + "epoch": 2.96, + "learning_rate": 8.148832909637162e-06, + "loss": 0.7302, + "step": 25640 + }, + { + "epoch": 2.96, + "learning_rate": 8.144210769586319e-06, + "loss": 0.8081, + "step": 25650 + }, + { + "epoch": 2.97, + "learning_rate": 8.139588629535476e-06, + "loss": 0.9379, + "step": 25660 + }, + { + "epoch": 2.97, + "learning_rate": 8.134966489484632e-06, + "loss": 0.8345, + "step": 25670 + }, + { + "epoch": 2.97, + "learning_rate": 8.130344349433789e-06, + "loss": 0.8588, + "step": 25680 + }, + { + "epoch": 2.97, + "learning_rate": 8.125722209382944e-06, + "loss": 0.8166, + "step": 25690 + }, + { + "epoch": 2.97, + "learning_rate": 8.121100069332102e-06, + "loss": 0.8178, + "step": 25700 + }, + { + "epoch": 2.97, + "learning_rate": 8.116477929281257e-06, + "loss": 0.9118, + "step": 25710 + }, + { + "epoch": 2.97, + "learning_rate": 8.111855789230414e-06, + "loss": 0.7257, + "step": 25720 + }, + { + "epoch": 2.97, + "learning_rate": 8.10723364917957e-06, + "loss": 1.1563, + "step": 25730 + }, + { + "epoch": 2.97, + "learning_rate": 8.102611509128727e-06, + "loss": 1.0816, + "step": 25740 + }, + { + "epoch": 2.98, + "learning_rate": 8.097989369077884e-06, + "loss": 1.0412, + "step": 25750 + }, + { + "epoch": 2.98, + "learning_rate": 8.09336722902704e-06, + "loss": 0.7828, + "step": 25760 + }, + { + "epoch": 2.98, + "learning_rate": 8.088745088976197e-06, + "loss": 0.9031, + "step": 25770 + }, + { + "epoch": 2.98, + "learning_rate": 8.084122948925354e-06, + "loss": 0.7639, + "step": 25780 + }, + { + "epoch": 2.98, + "learning_rate": 8.07950080887451e-06, + "loss": 0.9254, + "step": 25790 + }, + { + "epoch": 2.98, + "learning_rate": 8.074878668823666e-06, + "loss": 0.9509, + "step": 25800 + }, + { + "epoch": 2.98, + "learning_rate": 8.070256528772822e-06, + "loss": 0.6472, + "step": 25810 + }, + { + "epoch": 2.98, + "learning_rate": 8.065634388721979e-06, + "loss": 0.8004, + "step": 25820 + }, + { + "epoch": 2.98, + "learning_rate": 8.061012248671135e-06, + "loss": 0.7271, + "step": 25830 + }, + { + "epoch": 2.99, + "learning_rate": 8.056390108620292e-06, + "loss": 0.8606, + "step": 25840 + }, + { + "epoch": 2.99, + "learning_rate": 8.051767968569449e-06, + "loss": 0.761, + "step": 25850 + }, + { + "epoch": 2.99, + "learning_rate": 8.047145828518604e-06, + "loss": 0.9006, + "step": 25860 + }, + { + "epoch": 2.99, + "learning_rate": 8.042523688467762e-06, + "loss": 0.8759, + "step": 25870 + }, + { + "epoch": 2.99, + "learning_rate": 8.037901548416917e-06, + "loss": 0.8467, + "step": 25880 + }, + { + "epoch": 2.99, + "learning_rate": 8.033279408366074e-06, + "loss": 1.0313, + "step": 25890 + }, + { + "epoch": 2.99, + "learning_rate": 8.02865726831523e-06, + "loss": 0.9655, + "step": 25900 + }, + { + "epoch": 2.99, + "learning_rate": 8.024035128264387e-06, + "loss": 0.8988, + "step": 25910 + }, + { + "epoch": 3.0, + "learning_rate": 8.019412988213544e-06, + "loss": 0.7485, + "step": 25920 + }, + { + "epoch": 3.0, + "learning_rate": 8.0147908481627e-06, + "loss": 0.7995, + "step": 25930 + }, + { + "epoch": 3.0, + "learning_rate": 8.010168708111857e-06, + "loss": 1.045, + "step": 25940 + }, + { + "epoch": 3.0, + "learning_rate": 8.005546568061014e-06, + "loss": 0.8604, + "step": 25950 + }, + { + "epoch": 3.0, + "learning_rate": 8.000924428010169e-06, + "loss": 1.0344, + "step": 25960 + }, + { + "epoch": 3.0, + "eval_accuracy": 0.7023000736678399, + "eval_loss": 0.8277474045753479, + "eval_runtime": 370.3275, + "eval_samples_per_second": 32.99, + "eval_steps_per_second": 4.126, + "step": 25962 + }, + { + "epoch": 3.0, + "learning_rate": 7.996302287959325e-06, + "loss": 1.0651, + "step": 25970 + }, + { + "epoch": 3.0, + "learning_rate": 7.991680147908482e-06, + "loss": 1.0033, + "step": 25980 + }, + { + "epoch": 3.0, + "learning_rate": 7.987058007857639e-06, + "loss": 0.8618, + "step": 25990 + }, + { + "epoch": 3.0, + "learning_rate": 7.982435867806795e-06, + "loss": 0.9764, + "step": 26000 + }, + { + "epoch": 3.01, + "learning_rate": 7.977813727755952e-06, + "loss": 0.7547, + "step": 26010 + }, + { + "epoch": 3.01, + "learning_rate": 7.973191587705109e-06, + "loss": 0.7769, + "step": 26020 + }, + { + "epoch": 3.01, + "learning_rate": 7.968569447654264e-06, + "loss": 0.53, + "step": 26030 + }, + { + "epoch": 3.01, + "learning_rate": 7.963947307603422e-06, + "loss": 0.6506, + "step": 26040 + }, + { + "epoch": 3.01, + "learning_rate": 7.959325167552577e-06, + "loss": 0.8994, + "step": 26050 + }, + { + "epoch": 3.01, + "learning_rate": 7.954703027501734e-06, + "loss": 0.7206, + "step": 26060 + }, + { + "epoch": 3.01, + "learning_rate": 7.95008088745089e-06, + "loss": 0.6982, + "step": 26070 + }, + { + "epoch": 3.01, + "learning_rate": 7.945458747400047e-06, + "loss": 1.0016, + "step": 26080 + }, + { + "epoch": 3.01, + "learning_rate": 7.940836607349203e-06, + "loss": 0.9596, + "step": 26090 + }, + { + "epoch": 3.02, + "learning_rate": 7.93621446729836e-06, + "loss": 0.8941, + "step": 26100 + }, + { + "epoch": 3.02, + "learning_rate": 7.931592327247515e-06, + "loss": 1.0188, + "step": 26110 + }, + { + "epoch": 3.02, + "learning_rate": 7.926970187196673e-06, + "loss": 0.894, + "step": 26120 + }, + { + "epoch": 3.02, + "learning_rate": 7.922348047145828e-06, + "loss": 0.7879, + "step": 26130 + }, + { + "epoch": 3.02, + "learning_rate": 7.917725907094985e-06, + "loss": 0.9023, + "step": 26140 + }, + { + "epoch": 3.02, + "learning_rate": 7.913103767044142e-06, + "loss": 0.7074, + "step": 26150 + }, + { + "epoch": 3.02, + "learning_rate": 7.908481626993298e-06, + "loss": 0.8804, + "step": 26160 + }, + { + "epoch": 3.02, + "learning_rate": 7.903859486942455e-06, + "loss": 1.0399, + "step": 26170 + }, + { + "epoch": 3.03, + "learning_rate": 7.899237346891612e-06, + "loss": 0.9455, + "step": 26180 + }, + { + "epoch": 3.03, + "learning_rate": 7.894615206840768e-06, + "loss": 0.7583, + "step": 26190 + }, + { + "epoch": 3.03, + "learning_rate": 7.889993066789923e-06, + "loss": 0.9301, + "step": 26200 + }, + { + "epoch": 3.03, + "learning_rate": 7.885370926739082e-06, + "loss": 0.6127, + "step": 26210 + }, + { + "epoch": 3.03, + "learning_rate": 7.880748786688237e-06, + "loss": 0.9057, + "step": 26220 + }, + { + "epoch": 3.03, + "learning_rate": 7.876126646637395e-06, + "loss": 0.8209, + "step": 26230 + }, + { + "epoch": 3.03, + "learning_rate": 7.87150450658655e-06, + "loss": 0.7997, + "step": 26240 + }, + { + "epoch": 3.03, + "learning_rate": 7.866882366535707e-06, + "loss": 0.9574, + "step": 26250 + }, + { + "epoch": 3.03, + "learning_rate": 7.862260226484863e-06, + "loss": 0.6283, + "step": 26260 + }, + { + "epoch": 3.04, + "learning_rate": 7.85763808643402e-06, + "loss": 0.7524, + "step": 26270 + }, + { + "epoch": 3.04, + "learning_rate": 7.853015946383175e-06, + "loss": 0.926, + "step": 26280 + }, + { + "epoch": 3.04, + "learning_rate": 7.848393806332333e-06, + "loss": 0.6489, + "step": 26290 + }, + { + "epoch": 3.04, + "learning_rate": 7.843771666281488e-06, + "loss": 1.043, + "step": 26300 + }, + { + "epoch": 3.04, + "learning_rate": 7.839149526230645e-06, + "loss": 0.9733, + "step": 26310 + }, + { + "epoch": 3.04, + "learning_rate": 7.834527386179802e-06, + "loss": 0.7837, + "step": 26320 + }, + { + "epoch": 3.04, + "learning_rate": 7.829905246128958e-06, + "loss": 0.849, + "step": 26330 + }, + { + "epoch": 3.04, + "learning_rate": 7.825283106078115e-06, + "loss": 0.7408, + "step": 26340 + }, + { + "epoch": 3.04, + "learning_rate": 7.820660966027271e-06, + "loss": 1.0131, + "step": 26350 + }, + { + "epoch": 3.05, + "learning_rate": 7.816038825976428e-06, + "loss": 0.7062, + "step": 26360 + }, + { + "epoch": 3.05, + "learning_rate": 7.811416685925585e-06, + "loss": 1.0453, + "step": 26370 + }, + { + "epoch": 3.05, + "learning_rate": 7.806794545874741e-06, + "loss": 0.759, + "step": 26380 + }, + { + "epoch": 3.05, + "learning_rate": 7.802172405823896e-06, + "loss": 0.5866, + "step": 26390 + }, + { + "epoch": 3.05, + "learning_rate": 7.797550265773055e-06, + "loss": 0.8697, + "step": 26400 + }, + { + "epoch": 3.05, + "learning_rate": 7.79292812572221e-06, + "loss": 0.8353, + "step": 26410 + }, + { + "epoch": 3.05, + "learning_rate": 7.788305985671366e-06, + "loss": 0.8428, + "step": 26420 + }, + { + "epoch": 3.05, + "learning_rate": 7.783683845620523e-06, + "loss": 1.049, + "step": 26430 + }, + { + "epoch": 3.06, + "learning_rate": 7.77906170556968e-06, + "loss": 0.8694, + "step": 26440 + }, + { + "epoch": 3.06, + "learning_rate": 7.774439565518835e-06, + "loss": 0.8205, + "step": 26450 + }, + { + "epoch": 3.06, + "learning_rate": 7.769817425467993e-06, + "loss": 1.1194, + "step": 26460 + }, + { + "epoch": 3.06, + "learning_rate": 7.765195285417148e-06, + "loss": 0.7783, + "step": 26470 + }, + { + "epoch": 3.06, + "learning_rate": 7.760573145366305e-06, + "loss": 0.8308, + "step": 26480 + }, + { + "epoch": 3.06, + "learning_rate": 7.755951005315461e-06, + "loss": 0.8369, + "step": 26490 + }, + { + "epoch": 3.06, + "learning_rate": 7.751328865264618e-06, + "loss": 0.873, + "step": 26500 + }, + { + "epoch": 3.06, + "learning_rate": 7.746706725213775e-06, + "loss": 0.9502, + "step": 26510 + }, + { + "epoch": 3.06, + "learning_rate": 7.742084585162931e-06, + "loss": 1.0375, + "step": 26520 + }, + { + "epoch": 3.07, + "learning_rate": 7.737462445112088e-06, + "loss": 0.9357, + "step": 26530 + }, + { + "epoch": 3.07, + "learning_rate": 7.732840305061245e-06, + "loss": 0.9021, + "step": 26540 + }, + { + "epoch": 3.07, + "learning_rate": 7.728218165010401e-06, + "loss": 0.8244, + "step": 26550 + }, + { + "epoch": 3.07, + "learning_rate": 7.723596024959556e-06, + "loss": 0.8593, + "step": 26560 + }, + { + "epoch": 3.07, + "learning_rate": 7.718973884908713e-06, + "loss": 0.7352, + "step": 26570 + }, + { + "epoch": 3.07, + "learning_rate": 7.71435174485787e-06, + "loss": 0.983, + "step": 26580 + }, + { + "epoch": 3.07, + "learning_rate": 7.709729604807026e-06, + "loss": 1.0018, + "step": 26590 + }, + { + "epoch": 3.07, + "learning_rate": 7.705107464756183e-06, + "loss": 0.564, + "step": 26600 + }, + { + "epoch": 3.07, + "learning_rate": 7.70048532470534e-06, + "loss": 0.9231, + "step": 26610 + }, + { + "epoch": 3.08, + "learning_rate": 7.695863184654494e-06, + "loss": 0.6584, + "step": 26620 + }, + { + "epoch": 3.08, + "learning_rate": 7.691241044603653e-06, + "loss": 0.8984, + "step": 26630 + }, + { + "epoch": 3.08, + "learning_rate": 7.686618904552808e-06, + "loss": 0.6742, + "step": 26640 + }, + { + "epoch": 3.08, + "learning_rate": 7.681996764501966e-06, + "loss": 0.6271, + "step": 26650 + }, + { + "epoch": 3.08, + "learning_rate": 7.677374624451121e-06, + "loss": 0.8894, + "step": 26660 + }, + { + "epoch": 3.08, + "learning_rate": 7.672752484400278e-06, + "loss": 0.9462, + "step": 26670 + }, + { + "epoch": 3.08, + "learning_rate": 7.668130344349434e-06, + "loss": 0.8703, + "step": 26680 + }, + { + "epoch": 3.08, + "learning_rate": 7.663508204298591e-06, + "loss": 0.8538, + "step": 26690 + }, + { + "epoch": 3.09, + "learning_rate": 7.658886064247748e-06, + "loss": 0.8599, + "step": 26700 + }, + { + "epoch": 3.09, + "learning_rate": 7.654263924196904e-06, + "loss": 0.9368, + "step": 26710 + }, + { + "epoch": 3.09, + "learning_rate": 7.64964178414606e-06, + "loss": 0.7219, + "step": 26720 + }, + { + "epoch": 3.09, + "learning_rate": 7.645019644095216e-06, + "loss": 0.909, + "step": 26730 + }, + { + "epoch": 3.09, + "learning_rate": 7.640397504044373e-06, + "loss": 0.6926, + "step": 26740 + }, + { + "epoch": 3.09, + "learning_rate": 7.63577536399353e-06, + "loss": 0.8226, + "step": 26750 + }, + { + "epoch": 3.09, + "learning_rate": 7.631153223942686e-06, + "loss": 0.914, + "step": 26760 + }, + { + "epoch": 3.09, + "learning_rate": 7.626531083891843e-06, + "loss": 0.7198, + "step": 26770 + }, + { + "epoch": 3.09, + "learning_rate": 7.6219089438409984e-06, + "loss": 0.965, + "step": 26780 + }, + { + "epoch": 3.1, + "learning_rate": 7.617286803790156e-06, + "loss": 0.8865, + "step": 26790 + }, + { + "epoch": 3.1, + "learning_rate": 7.612664663739312e-06, + "loss": 0.7788, + "step": 26800 + }, + { + "epoch": 3.1, + "learning_rate": 7.608042523688468e-06, + "loss": 0.8349, + "step": 26810 + }, + { + "epoch": 3.1, + "learning_rate": 7.603420383637625e-06, + "loss": 0.8148, + "step": 26820 + }, + { + "epoch": 3.1, + "learning_rate": 7.598798243586782e-06, + "loss": 0.7252, + "step": 26830 + }, + { + "epoch": 3.1, + "learning_rate": 7.5941761035359375e-06, + "loss": 0.8338, + "step": 26840 + }, + { + "epoch": 3.1, + "learning_rate": 7.589553963485094e-06, + "loss": 0.9437, + "step": 26850 + }, + { + "epoch": 3.1, + "learning_rate": 7.584931823434251e-06, + "loss": 0.7967, + "step": 26860 + }, + { + "epoch": 3.1, + "learning_rate": 7.580309683383407e-06, + "loss": 0.9614, + "step": 26870 + }, + { + "epoch": 3.11, + "learning_rate": 7.575687543332564e-06, + "loss": 0.8728, + "step": 26880 + }, + { + "epoch": 3.11, + "learning_rate": 7.57106540328172e-06, + "loss": 0.786, + "step": 26890 + }, + { + "epoch": 3.11, + "learning_rate": 7.566443263230876e-06, + "loss": 1.1031, + "step": 26900 + }, + { + "epoch": 3.11, + "learning_rate": 7.561821123180033e-06, + "loss": 0.9725, + "step": 26910 + }, + { + "epoch": 3.11, + "learning_rate": 7.557198983129189e-06, + "loss": 0.8606, + "step": 26920 + }, + { + "epoch": 3.11, + "learning_rate": 7.552576843078347e-06, + "loss": 1.0195, + "step": 26930 + }, + { + "epoch": 3.11, + "learning_rate": 7.547954703027502e-06, + "loss": 0.8931, + "step": 26940 + }, + { + "epoch": 3.11, + "learning_rate": 7.543332562976658e-06, + "loss": 1.1264, + "step": 26950 + }, + { + "epoch": 3.12, + "learning_rate": 7.538710422925816e-06, + "loss": 1.0112, + "step": 26960 + }, + { + "epoch": 3.12, + "learning_rate": 7.5340882828749715e-06, + "loss": 0.6051, + "step": 26970 + }, + { + "epoch": 3.12, + "learning_rate": 7.529466142824128e-06, + "loss": 0.9505, + "step": 26980 + }, + { + "epoch": 3.12, + "learning_rate": 7.524844002773285e-06, + "loss": 0.8713, + "step": 26990 + }, + { + "epoch": 3.12, + "learning_rate": 7.520221862722441e-06, + "loss": 0.9696, + "step": 27000 + }, + { + "epoch": 3.12, + "learning_rate": 7.515599722671597e-06, + "loss": 0.9612, + "step": 27010 + }, + { + "epoch": 3.12, + "learning_rate": 7.510977582620754e-06, + "loss": 0.7082, + "step": 27020 + }, + { + "epoch": 3.12, + "learning_rate": 7.506355442569911e-06, + "loss": 0.9683, + "step": 27030 + }, + { + "epoch": 3.12, + "learning_rate": 7.5017333025190664e-06, + "loss": 0.7916, + "step": 27040 + }, + { + "epoch": 3.13, + "learning_rate": 7.497111162468224e-06, + "loss": 0.8413, + "step": 27050 + }, + { + "epoch": 3.13, + "learning_rate": 7.49248902241738e-06, + "loss": 0.953, + "step": 27060 + }, + { + "epoch": 3.13, + "learning_rate": 7.487866882366536e-06, + "loss": 0.8584, + "step": 27070 + }, + { + "epoch": 3.13, + "learning_rate": 7.483244742315693e-06, + "loss": 0.8541, + "step": 27080 + }, + { + "epoch": 3.13, + "learning_rate": 7.478622602264849e-06, + "loss": 0.7962, + "step": 27090 + }, + { + "epoch": 3.13, + "learning_rate": 7.474000462214006e-06, + "loss": 0.9031, + "step": 27100 + }, + { + "epoch": 3.13, + "learning_rate": 7.469378322163162e-06, + "loss": 0.6497, + "step": 27110 + }, + { + "epoch": 3.13, + "learning_rate": 7.464756182112318e-06, + "loss": 0.7564, + "step": 27120 + }, + { + "epoch": 3.13, + "learning_rate": 7.4601340420614755e-06, + "loss": 0.7227, + "step": 27130 + }, + { + "epoch": 3.14, + "learning_rate": 7.455511902010631e-06, + "loss": 0.9616, + "step": 27140 + }, + { + "epoch": 3.14, + "learning_rate": 7.450889761959787e-06, + "loss": 0.8521, + "step": 27150 + }, + { + "epoch": 3.14, + "learning_rate": 7.446267621908945e-06, + "loss": 0.9299, + "step": 27160 + }, + { + "epoch": 3.14, + "learning_rate": 7.4416454818581004e-06, + "loss": 0.8233, + "step": 27170 + }, + { + "epoch": 3.14, + "learning_rate": 7.437023341807257e-06, + "loss": 0.8294, + "step": 27180 + }, + { + "epoch": 3.14, + "learning_rate": 7.432401201756414e-06, + "loss": 0.6649, + "step": 27190 + }, + { + "epoch": 3.14, + "learning_rate": 7.42777906170557e-06, + "loss": 0.8865, + "step": 27200 + }, + { + "epoch": 3.14, + "learning_rate": 7.423156921654727e-06, + "loss": 0.7499, + "step": 27210 + }, + { + "epoch": 3.15, + "learning_rate": 7.418534781603883e-06, + "loss": 0.8151, + "step": 27220 + }, + { + "epoch": 3.15, + "learning_rate": 7.4139126415530395e-06, + "loss": 0.5837, + "step": 27230 + }, + { + "epoch": 3.15, + "learning_rate": 7.409290501502196e-06, + "loss": 1.0249, + "step": 27240 + }, + { + "epoch": 3.15, + "learning_rate": 7.404668361451353e-06, + "loss": 0.8906, + "step": 27250 + }, + { + "epoch": 3.15, + "learning_rate": 7.400046221400509e-06, + "loss": 0.9419, + "step": 27260 + }, + { + "epoch": 3.15, + "learning_rate": 7.395424081349666e-06, + "loss": 0.7645, + "step": 27270 + }, + { + "epoch": 3.15, + "learning_rate": 7.390801941298822e-06, + "loss": 0.695, + "step": 27280 + }, + { + "epoch": 3.15, + "learning_rate": 7.386179801247978e-06, + "loss": 0.7142, + "step": 27290 + }, + { + "epoch": 3.15, + "learning_rate": 7.381557661197135e-06, + "loss": 0.6427, + "step": 27300 + }, + { + "epoch": 3.16, + "learning_rate": 7.376935521146291e-06, + "loss": 1.062, + "step": 27310 + }, + { + "epoch": 3.16, + "learning_rate": 7.372313381095447e-06, + "loss": 0.952, + "step": 27320 + }, + { + "epoch": 3.16, + "learning_rate": 7.367691241044604e-06, + "loss": 0.812, + "step": 27330 + }, + { + "epoch": 3.16, + "learning_rate": 7.36306910099376e-06, + "loss": 0.9711, + "step": 27340 + }, + { + "epoch": 3.16, + "learning_rate": 7.358446960942918e-06, + "loss": 0.8381, + "step": 27350 + }, + { + "epoch": 3.16, + "learning_rate": 7.3538248208920735e-06, + "loss": 0.7715, + "step": 27360 + }, + { + "epoch": 3.16, + "learning_rate": 7.34920268084123e-06, + "loss": 1.0561, + "step": 27370 + }, + { + "epoch": 3.16, + "learning_rate": 7.344580540790387e-06, + "loss": 0.9088, + "step": 27380 + }, + { + "epoch": 3.17, + "learning_rate": 7.339958400739543e-06, + "loss": 0.9373, + "step": 27390 + }, + { + "epoch": 3.17, + "learning_rate": 7.335336260688699e-06, + "loss": 0.868, + "step": 27400 + }, + { + "epoch": 3.17, + "learning_rate": 7.330714120637856e-06, + "loss": 0.8987, + "step": 27410 + }, + { + "epoch": 3.17, + "learning_rate": 7.326091980587013e-06, + "loss": 0.8139, + "step": 27420 + }, + { + "epoch": 3.17, + "learning_rate": 7.3214698405361684e-06, + "loss": 0.8238, + "step": 27430 + }, + { + "epoch": 3.17, + "learning_rate": 7.316847700485326e-06, + "loss": 0.8926, + "step": 27440 + }, + { + "epoch": 3.17, + "learning_rate": 7.312225560434482e-06, + "loss": 0.8604, + "step": 27450 + }, + { + "epoch": 3.17, + "learning_rate": 7.3076034203836376e-06, + "loss": 0.8719, + "step": 27460 + }, + { + "epoch": 3.17, + "learning_rate": 7.302981280332795e-06, + "loss": 0.6954, + "step": 27470 + }, + { + "epoch": 3.18, + "learning_rate": 7.298359140281951e-06, + "loss": 0.8915, + "step": 27480 + }, + { + "epoch": 3.18, + "learning_rate": 7.293737000231108e-06, + "loss": 0.8223, + "step": 27490 + }, + { + "epoch": 3.18, + "learning_rate": 7.289114860180264e-06, + "loss": 0.937, + "step": 27500 + }, + { + "epoch": 3.18, + "learning_rate": 7.28449272012942e-06, + "loss": 0.6879, + "step": 27510 + }, + { + "epoch": 3.18, + "learning_rate": 7.2798705800785775e-06, + "loss": 0.8692, + "step": 27520 + }, + { + "epoch": 3.18, + "learning_rate": 7.275248440027733e-06, + "loss": 0.8584, + "step": 27530 + }, + { + "epoch": 3.18, + "learning_rate": 7.270626299976889e-06, + "loss": 0.7817, + "step": 27540 + }, + { + "epoch": 3.18, + "learning_rate": 7.266004159926047e-06, + "loss": 0.8713, + "step": 27550 + }, + { + "epoch": 3.18, + "learning_rate": 7.2613820198752025e-06, + "loss": 0.8519, + "step": 27560 + }, + { + "epoch": 3.19, + "learning_rate": 7.256759879824359e-06, + "loss": 0.7981, + "step": 27570 + }, + { + "epoch": 3.19, + "learning_rate": 7.252137739773516e-06, + "loss": 0.9577, + "step": 27580 + }, + { + "epoch": 3.19, + "learning_rate": 7.247515599722672e-06, + "loss": 0.8811, + "step": 27590 + }, + { + "epoch": 3.19, + "learning_rate": 7.242893459671828e-06, + "loss": 1.0366, + "step": 27600 + }, + { + "epoch": 3.19, + "learning_rate": 7.238271319620985e-06, + "loss": 0.9348, + "step": 27610 + }, + { + "epoch": 3.19, + "learning_rate": 7.2336491795701415e-06, + "loss": 0.7859, + "step": 27620 + }, + { + "epoch": 3.19, + "learning_rate": 7.229027039519298e-06, + "loss": 0.8648, + "step": 27630 + }, + { + "epoch": 3.19, + "learning_rate": 7.224404899468455e-06, + "loss": 0.7652, + "step": 27640 + }, + { + "epoch": 3.2, + "learning_rate": 7.219782759417611e-06, + "loss": 0.8385, + "step": 27650 + }, + { + "epoch": 3.2, + "learning_rate": 7.215160619366768e-06, + "loss": 0.8738, + "step": 27660 + }, + { + "epoch": 3.2, + "learning_rate": 7.210538479315924e-06, + "loss": 0.8985, + "step": 27670 + }, + { + "epoch": 3.2, + "learning_rate": 7.20591633926508e-06, + "loss": 0.6767, + "step": 27680 + }, + { + "epoch": 3.2, + "learning_rate": 7.201294199214237e-06, + "loss": 0.9578, + "step": 27690 + }, + { + "epoch": 3.2, + "learning_rate": 7.196672059163393e-06, + "loss": 0.8474, + "step": 27700 + }, + { + "epoch": 3.2, + "learning_rate": 7.192049919112549e-06, + "loss": 0.7264, + "step": 27710 + }, + { + "epoch": 3.2, + "learning_rate": 7.1874277790617064e-06, + "loss": 0.9314, + "step": 27720 + }, + { + "epoch": 3.2, + "learning_rate": 7.182805639010862e-06, + "loss": 0.9336, + "step": 27730 + }, + { + "epoch": 3.21, + "learning_rate": 7.178183498960019e-06, + "loss": 0.804, + "step": 27740 + }, + { + "epoch": 3.21, + "learning_rate": 7.1735613589091755e-06, + "loss": 0.8373, + "step": 27750 + }, + { + "epoch": 3.21, + "learning_rate": 7.168939218858331e-06, + "loss": 0.7973, + "step": 27760 + }, + { + "epoch": 3.21, + "learning_rate": 7.164317078807489e-06, + "loss": 0.7196, + "step": 27770 + }, + { + "epoch": 3.21, + "learning_rate": 7.159694938756645e-06, + "loss": 0.8309, + "step": 27780 + }, + { + "epoch": 3.21, + "learning_rate": 7.155072798705801e-06, + "loss": 0.8427, + "step": 27790 + }, + { + "epoch": 3.21, + "learning_rate": 7.150450658654958e-06, + "loss": 1.0412, + "step": 27800 + }, + { + "epoch": 3.21, + "learning_rate": 7.145828518604115e-06, + "loss": 0.8376, + "step": 27810 + }, + { + "epoch": 3.21, + "learning_rate": 7.1412063785532705e-06, + "loss": 0.9849, + "step": 27820 + }, + { + "epoch": 3.22, + "learning_rate": 7.136584238502428e-06, + "loss": 0.8494, + "step": 27830 + }, + { + "epoch": 3.22, + "learning_rate": 7.131962098451584e-06, + "loss": 1.0088, + "step": 27840 + }, + { + "epoch": 3.22, + "learning_rate": 7.12733995840074e-06, + "loss": 1.0019, + "step": 27850 + }, + { + "epoch": 3.22, + "learning_rate": 7.122717818349897e-06, + "loss": 0.8025, + "step": 27860 + }, + { + "epoch": 3.22, + "learning_rate": 7.118095678299053e-06, + "loss": 0.9366, + "step": 27870 + }, + { + "epoch": 3.22, + "learning_rate": 7.113473538248209e-06, + "loss": 0.8027, + "step": 27880 + }, + { + "epoch": 3.22, + "learning_rate": 7.108851398197366e-06, + "loss": 0.8367, + "step": 27890 + }, + { + "epoch": 3.22, + "learning_rate": 7.104229258146522e-06, + "loss": 0.7323, + "step": 27900 + }, + { + "epoch": 3.23, + "learning_rate": 7.0996071180956795e-06, + "loss": 0.9788, + "step": 27910 + }, + { + "epoch": 3.23, + "learning_rate": 7.094984978044835e-06, + "loss": 0.7633, + "step": 27920 + }, + { + "epoch": 3.23, + "learning_rate": 7.090362837993991e-06, + "loss": 0.7821, + "step": 27930 + }, + { + "epoch": 3.23, + "learning_rate": 7.085740697943149e-06, + "loss": 0.8761, + "step": 27940 + }, + { + "epoch": 3.23, + "learning_rate": 7.0811185578923045e-06, + "loss": 0.8363, + "step": 27950 + }, + { + "epoch": 3.23, + "learning_rate": 7.076496417841461e-06, + "loss": 0.7009, + "step": 27960 + }, + { + "epoch": 3.23, + "learning_rate": 7.071874277790618e-06, + "loss": 0.9333, + "step": 27970 + }, + { + "epoch": 3.23, + "learning_rate": 7.0672521377397744e-06, + "loss": 0.6261, + "step": 27980 + }, + { + "epoch": 3.23, + "learning_rate": 7.06262999768893e-06, + "loss": 0.9721, + "step": 27990 + }, + { + "epoch": 3.24, + "learning_rate": 7.058007857638087e-06, + "loss": 0.9991, + "step": 28000 + }, + { + "epoch": 3.24, + "learning_rate": 7.0533857175872436e-06, + "loss": 0.9079, + "step": 28010 + }, + { + "epoch": 3.24, + "learning_rate": 7.048763577536399e-06, + "loss": 0.8932, + "step": 28020 + }, + { + "epoch": 3.24, + "learning_rate": 7.044141437485557e-06, + "loss": 0.8673, + "step": 28030 + }, + { + "epoch": 3.24, + "learning_rate": 7.039519297434713e-06, + "loss": 0.8408, + "step": 28040 + }, + { + "epoch": 3.24, + "learning_rate": 7.03489715738387e-06, + "loss": 0.9871, + "step": 28050 + }, + { + "epoch": 3.24, + "learning_rate": 7.030275017333026e-06, + "loss": 0.9033, + "step": 28060 + }, + { + "epoch": 3.24, + "learning_rate": 7.025652877282182e-06, + "loss": 0.8382, + "step": 28070 + }, + { + "epoch": 3.24, + "learning_rate": 7.021030737231339e-06, + "loss": 0.9183, + "step": 28080 + }, + { + "epoch": 3.25, + "learning_rate": 7.016408597180495e-06, + "loss": 0.8098, + "step": 28090 + }, + { + "epoch": 3.25, + "learning_rate": 7.011786457129651e-06, + "loss": 0.7502, + "step": 28100 + }, + { + "epoch": 3.25, + "learning_rate": 7.0071643170788084e-06, + "loss": 0.99, + "step": 28110 + }, + { + "epoch": 3.25, + "learning_rate": 7.002542177027964e-06, + "loss": 0.9041, + "step": 28120 + }, + { + "epoch": 3.25, + "learning_rate": 6.997920036977121e-06, + "loss": 1.0339, + "step": 28130 + }, + { + "epoch": 3.25, + "learning_rate": 6.9932978969262776e-06, + "loss": 0.7962, + "step": 28140 + }, + { + "epoch": 3.25, + "learning_rate": 6.988675756875433e-06, + "loss": 0.9557, + "step": 28150 + }, + { + "epoch": 3.25, + "learning_rate": 6.98405361682459e-06, + "loss": 0.7668, + "step": 28160 + }, + { + "epoch": 3.26, + "learning_rate": 6.979431476773747e-06, + "loss": 0.8209, + "step": 28170 + }, + { + "epoch": 3.26, + "learning_rate": 6.974809336722903e-06, + "loss": 0.9335, + "step": 28180 + }, + { + "epoch": 3.26, + "learning_rate": 6.97018719667206e-06, + "loss": 0.6805, + "step": 28190 + }, + { + "epoch": 3.26, + "learning_rate": 6.965565056621217e-06, + "loss": 0.7766, + "step": 28200 + }, + { + "epoch": 3.26, + "learning_rate": 6.9609429165703725e-06, + "loss": 0.7428, + "step": 28210 + }, + { + "epoch": 3.26, + "learning_rate": 6.956320776519529e-06, + "loss": 0.6647, + "step": 28220 + }, + { + "epoch": 3.26, + "learning_rate": 6.951698636468686e-06, + "loss": 0.9651, + "step": 28230 + }, + { + "epoch": 3.26, + "learning_rate": 6.947076496417842e-06, + "loss": 0.9835, + "step": 28240 + }, + { + "epoch": 3.26, + "learning_rate": 6.942454356366999e-06, + "loss": 0.9615, + "step": 28250 + }, + { + "epoch": 3.27, + "learning_rate": 6.937832216316155e-06, + "loss": 0.8178, + "step": 28260 + }, + { + "epoch": 3.27, + "learning_rate": 6.933210076265311e-06, + "loss": 1.0031, + "step": 28270 + }, + { + "epoch": 3.27, + "learning_rate": 6.928587936214468e-06, + "loss": 0.8079, + "step": 28280 + }, + { + "epoch": 3.27, + "learning_rate": 6.923965796163624e-06, + "loss": 0.8104, + "step": 28290 + }, + { + "epoch": 3.27, + "learning_rate": 6.91934365611278e-06, + "loss": 0.7849, + "step": 28300 + }, + { + "epoch": 3.27, + "learning_rate": 6.914721516061937e-06, + "loss": 0.7279, + "step": 28310 + }, + { + "epoch": 3.27, + "learning_rate": 6.910099376011093e-06, + "loss": 0.6253, + "step": 28320 + }, + { + "epoch": 3.27, + "learning_rate": 6.905477235960251e-06, + "loss": 0.8961, + "step": 28330 + }, + { + "epoch": 3.27, + "learning_rate": 6.9008550959094065e-06, + "loss": 0.751, + "step": 28340 + }, + { + "epoch": 3.28, + "learning_rate": 6.896232955858563e-06, + "loss": 0.9986, + "step": 28350 + }, + { + "epoch": 3.28, + "learning_rate": 6.89161081580772e-06, + "loss": 0.6315, + "step": 28360 + }, + { + "epoch": 3.28, + "learning_rate": 6.8869886757568764e-06, + "loss": 0.8451, + "step": 28370 + }, + { + "epoch": 3.28, + "learning_rate": 6.882366535706032e-06, + "loss": 0.6771, + "step": 28380 + }, + { + "epoch": 3.28, + "learning_rate": 6.877744395655189e-06, + "loss": 1.0568, + "step": 28390 + }, + { + "epoch": 3.28, + "learning_rate": 6.8731222556043456e-06, + "loss": 0.9744, + "step": 28400 + }, + { + "epoch": 3.28, + "learning_rate": 6.868500115553501e-06, + "loss": 0.9114, + "step": 28410 + }, + { + "epoch": 3.28, + "learning_rate": 6.863877975502659e-06, + "loss": 0.8228, + "step": 28420 + }, + { + "epoch": 3.29, + "learning_rate": 6.859255835451815e-06, + "loss": 0.9338, + "step": 28430 + }, + { + "epoch": 3.29, + "learning_rate": 6.8546336954009705e-06, + "loss": 0.9738, + "step": 28440 + }, + { + "epoch": 3.29, + "learning_rate": 6.850011555350128e-06, + "loss": 0.8113, + "step": 28450 + }, + { + "epoch": 3.29, + "learning_rate": 6.845389415299284e-06, + "loss": 0.6404, + "step": 28460 + }, + { + "epoch": 3.29, + "learning_rate": 6.840767275248441e-06, + "loss": 0.9907, + "step": 28470 + }, + { + "epoch": 3.29, + "learning_rate": 6.836145135197597e-06, + "loss": 0.7706, + "step": 28480 + }, + { + "epoch": 3.29, + "learning_rate": 6.831522995146753e-06, + "loss": 0.6776, + "step": 28490 + }, + { + "epoch": 3.29, + "learning_rate": 6.8269008550959104e-06, + "loss": 1.0682, + "step": 28500 + }, + { + "epoch": 3.29, + "learning_rate": 6.822278715045066e-06, + "loss": 0.839, + "step": 28510 + }, + { + "epoch": 3.3, + "learning_rate": 6.817656574994223e-06, + "loss": 0.8554, + "step": 28520 + }, + { + "epoch": 3.3, + "learning_rate": 6.8130344349433796e-06, + "loss": 0.988, + "step": 28530 + }, + { + "epoch": 3.3, + "learning_rate": 6.808412294892535e-06, + "loss": 0.9763, + "step": 28540 + }, + { + "epoch": 3.3, + "learning_rate": 6.803790154841692e-06, + "loss": 0.8827, + "step": 28550 + }, + { + "epoch": 3.3, + "learning_rate": 6.799168014790849e-06, + "loss": 0.9516, + "step": 28560 + }, + { + "epoch": 3.3, + "learning_rate": 6.794545874740005e-06, + "loss": 0.8742, + "step": 28570 + }, + { + "epoch": 3.3, + "learning_rate": 6.789923734689161e-06, + "loss": 0.7259, + "step": 28580 + }, + { + "epoch": 3.3, + "learning_rate": 6.785301594638319e-06, + "loss": 0.7773, + "step": 28590 + }, + { + "epoch": 3.3, + "learning_rate": 6.7806794545874745e-06, + "loss": 0.9354, + "step": 28600 + }, + { + "epoch": 3.31, + "learning_rate": 6.776057314536631e-06, + "loss": 1.0987, + "step": 28610 + }, + { + "epoch": 3.31, + "learning_rate": 6.771435174485788e-06, + "loss": 0.8863, + "step": 28620 + }, + { + "epoch": 3.31, + "learning_rate": 6.766813034434944e-06, + "loss": 0.877, + "step": 28630 + }, + { + "epoch": 3.31, + "learning_rate": 6.762190894384101e-06, + "loss": 1.0547, + "step": 28640 + }, + { + "epoch": 3.31, + "learning_rate": 6.757568754333257e-06, + "loss": 0.7584, + "step": 28650 + }, + { + "epoch": 3.31, + "learning_rate": 6.752946614282413e-06, + "loss": 0.8784, + "step": 28660 + }, + { + "epoch": 3.31, + "learning_rate": 6.74832447423157e-06, + "loss": 0.8218, + "step": 28670 + }, + { + "epoch": 3.31, + "learning_rate": 6.743702334180726e-06, + "loss": 0.709, + "step": 28680 + }, + { + "epoch": 3.32, + "learning_rate": 6.739080194129882e-06, + "loss": 0.9779, + "step": 28690 + }, + { + "epoch": 3.32, + "learning_rate": 6.734458054079039e-06, + "loss": 0.8283, + "step": 28700 + }, + { + "epoch": 3.32, + "learning_rate": 6.729835914028195e-06, + "loss": 0.8149, + "step": 28710 + }, + { + "epoch": 3.32, + "learning_rate": 6.725213773977352e-06, + "loss": 0.7666, + "step": 28720 + }, + { + "epoch": 3.32, + "learning_rate": 6.7205916339265085e-06, + "loss": 0.8385, + "step": 28730 + }, + { + "epoch": 3.32, + "learning_rate": 6.715969493875665e-06, + "loss": 0.7309, + "step": 28740 + }, + { + "epoch": 3.32, + "learning_rate": 6.711347353824822e-06, + "loss": 0.8958, + "step": 28750 + }, + { + "epoch": 3.32, + "learning_rate": 6.706725213773978e-06, + "loss": 0.7202, + "step": 28760 + }, + { + "epoch": 3.32, + "learning_rate": 6.702103073723134e-06, + "loss": 0.5692, + "step": 28770 + }, + { + "epoch": 3.33, + "learning_rate": 6.697480933672291e-06, + "loss": 0.7282, + "step": 28780 + }, + { + "epoch": 3.33, + "learning_rate": 6.6928587936214476e-06, + "loss": 0.8439, + "step": 28790 + }, + { + "epoch": 3.33, + "learning_rate": 6.688236653570603e-06, + "loss": 0.7984, + "step": 28800 + }, + { + "epoch": 3.33, + "learning_rate": 6.683614513519761e-06, + "loss": 0.6564, + "step": 28810 + }, + { + "epoch": 3.33, + "learning_rate": 6.678992373468917e-06, + "loss": 0.8698, + "step": 28820 + }, + { + "epoch": 3.33, + "learning_rate": 6.6743702334180725e-06, + "loss": 0.671, + "step": 28830 + }, + { + "epoch": 3.33, + "learning_rate": 6.66974809336723e-06, + "loss": 0.8469, + "step": 28840 + }, + { + "epoch": 3.33, + "learning_rate": 6.665125953316386e-06, + "loss": 0.9068, + "step": 28850 + }, + { + "epoch": 3.33, + "learning_rate": 6.660503813265542e-06, + "loss": 0.658, + "step": 28860 + }, + { + "epoch": 3.34, + "learning_rate": 6.655881673214699e-06, + "loss": 0.9194, + "step": 28870 + }, + { + "epoch": 3.34, + "learning_rate": 6.651259533163855e-06, + "loss": 0.7324, + "step": 28880 + }, + { + "epoch": 3.34, + "learning_rate": 6.6466373931130124e-06, + "loss": 1.0145, + "step": 28890 + }, + { + "epoch": 3.34, + "learning_rate": 6.642015253062168e-06, + "loss": 0.7628, + "step": 28900 + }, + { + "epoch": 3.34, + "learning_rate": 6.637393113011325e-06, + "loss": 0.7524, + "step": 28910 + }, + { + "epoch": 3.34, + "learning_rate": 6.6327709729604816e-06, + "loss": 0.892, + "step": 28920 + }, + { + "epoch": 3.34, + "learning_rate": 6.628148832909637e-06, + "loss": 0.8747, + "step": 28930 + }, + { + "epoch": 3.34, + "learning_rate": 6.623526692858794e-06, + "loss": 0.8772, + "step": 28940 + }, + { + "epoch": 3.35, + "learning_rate": 6.618904552807951e-06, + "loss": 0.9123, + "step": 28950 + }, + { + "epoch": 3.35, + "learning_rate": 6.614282412757107e-06, + "loss": 1.0148, + "step": 28960 + }, + { + "epoch": 3.35, + "learning_rate": 6.609660272706263e-06, + "loss": 0.8173, + "step": 28970 + }, + { + "epoch": 3.35, + "learning_rate": 6.605038132655421e-06, + "loss": 0.8268, + "step": 28980 + }, + { + "epoch": 3.35, + "learning_rate": 6.6004159926045765e-06, + "loss": 1.0235, + "step": 28990 + }, + { + "epoch": 3.35, + "learning_rate": 6.595793852553732e-06, + "loss": 0.6544, + "step": 29000 + }, + { + "epoch": 3.35, + "learning_rate": 6.59117171250289e-06, + "loss": 0.8179, + "step": 29010 + }, + { + "epoch": 3.35, + "learning_rate": 6.586549572452046e-06, + "loss": 0.8549, + "step": 29020 + }, + { + "epoch": 3.35, + "learning_rate": 6.581927432401203e-06, + "loss": 0.8156, + "step": 29030 + }, + { + "epoch": 3.36, + "learning_rate": 6.577305292350359e-06, + "loss": 0.9411, + "step": 29040 + }, + { + "epoch": 3.36, + "learning_rate": 6.572683152299515e-06, + "loss": 0.6342, + "step": 29050 + }, + { + "epoch": 3.36, + "learning_rate": 6.568061012248672e-06, + "loss": 0.779, + "step": 29060 + }, + { + "epoch": 3.36, + "learning_rate": 6.563438872197828e-06, + "loss": 0.8512, + "step": 29070 + }, + { + "epoch": 3.36, + "learning_rate": 6.558816732146984e-06, + "loss": 0.7971, + "step": 29080 + }, + { + "epoch": 3.36, + "learning_rate": 6.554194592096141e-06, + "loss": 0.7516, + "step": 29090 + }, + { + "epoch": 3.36, + "learning_rate": 6.549572452045297e-06, + "loss": 0.8885, + "step": 29100 + }, + { + "epoch": 3.36, + "learning_rate": 6.544950311994454e-06, + "loss": 0.8636, + "step": 29110 + }, + { + "epoch": 3.36, + "learning_rate": 6.5403281719436105e-06, + "loss": 0.8115, + "step": 29120 + }, + { + "epoch": 3.37, + "learning_rate": 6.535706031892767e-06, + "loss": 0.7288, + "step": 29130 + }, + { + "epoch": 3.37, + "learning_rate": 6.531083891841923e-06, + "loss": 1.0775, + "step": 29140 + }, + { + "epoch": 3.37, + "learning_rate": 6.52646175179108e-06, + "loss": 0.8737, + "step": 29150 + }, + { + "epoch": 3.37, + "learning_rate": 6.521839611740236e-06, + "loss": 1.0076, + "step": 29160 + }, + { + "epoch": 3.37, + "learning_rate": 6.517217471689393e-06, + "loss": 1.0064, + "step": 29170 + }, + { + "epoch": 3.37, + "learning_rate": 6.5125953316385496e-06, + "loss": 0.7731, + "step": 29180 + }, + { + "epoch": 3.37, + "learning_rate": 6.507973191587705e-06, + "loss": 1.0141, + "step": 29190 + }, + { + "epoch": 3.37, + "learning_rate": 6.503351051536863e-06, + "loss": 0.6796, + "step": 29200 + }, + { + "epoch": 3.38, + "learning_rate": 6.498728911486019e-06, + "loss": 0.7433, + "step": 29210 + }, + { + "epoch": 3.38, + "learning_rate": 6.4941067714351745e-06, + "loss": 0.8014, + "step": 29220 + }, + { + "epoch": 3.38, + "learning_rate": 6.489484631384332e-06, + "loss": 0.7212, + "step": 29230 + }, + { + "epoch": 3.38, + "learning_rate": 6.484862491333488e-06, + "loss": 0.8814, + "step": 29240 + }, + { + "epoch": 3.38, + "learning_rate": 6.480240351282644e-06, + "loss": 1.2298, + "step": 29250 + }, + { + "epoch": 3.38, + "learning_rate": 6.475618211231801e-06, + "loss": 0.8067, + "step": 29260 + }, + { + "epoch": 3.38, + "learning_rate": 6.470996071180957e-06, + "loss": 0.8472, + "step": 29270 + }, + { + "epoch": 3.38, + "learning_rate": 6.466373931130114e-06, + "loss": 0.6584, + "step": 29280 + }, + { + "epoch": 3.38, + "learning_rate": 6.46175179107927e-06, + "loss": 0.7473, + "step": 29290 + }, + { + "epoch": 3.39, + "learning_rate": 6.457129651028426e-06, + "loss": 0.6881, + "step": 29300 + }, + { + "epoch": 3.39, + "learning_rate": 6.4525075109775836e-06, + "loss": 0.8737, + "step": 29310 + }, + { + "epoch": 3.39, + "learning_rate": 6.447885370926739e-06, + "loss": 0.729, + "step": 29320 + }, + { + "epoch": 3.39, + "learning_rate": 6.443263230875896e-06, + "loss": 0.8868, + "step": 29330 + }, + { + "epoch": 3.39, + "learning_rate": 6.438641090825053e-06, + "loss": 0.7016, + "step": 29340 + }, + { + "epoch": 3.39, + "learning_rate": 6.434018950774209e-06, + "loss": 0.6573, + "step": 29350 + }, + { + "epoch": 3.39, + "learning_rate": 6.429396810723365e-06, + "loss": 0.822, + "step": 29360 + }, + { + "epoch": 3.39, + "learning_rate": 6.424774670672523e-06, + "loss": 1.1005, + "step": 29370 + }, + { + "epoch": 3.39, + "learning_rate": 6.4201525306216785e-06, + "loss": 0.8621, + "step": 29380 + }, + { + "epoch": 3.4, + "learning_rate": 6.415530390570834e-06, + "loss": 1.0037, + "step": 29390 + }, + { + "epoch": 3.4, + "learning_rate": 6.410908250519992e-06, + "loss": 0.8602, + "step": 29400 + }, + { + "epoch": 3.4, + "learning_rate": 6.406286110469148e-06, + "loss": 0.7757, + "step": 29410 + }, + { + "epoch": 3.4, + "learning_rate": 6.401663970418303e-06, + "loss": 0.7273, + "step": 29420 + }, + { + "epoch": 3.4, + "learning_rate": 6.397041830367461e-06, + "loss": 0.8747, + "step": 29430 + }, + { + "epoch": 3.4, + "learning_rate": 6.392419690316617e-06, + "loss": 0.8926, + "step": 29440 + }, + { + "epoch": 3.4, + "learning_rate": 6.387797550265774e-06, + "loss": 0.634, + "step": 29450 + }, + { + "epoch": 3.4, + "learning_rate": 6.38317541021493e-06, + "loss": 0.9905, + "step": 29460 + }, + { + "epoch": 3.41, + "learning_rate": 6.378553270164086e-06, + "loss": 0.8824, + "step": 29470 + }, + { + "epoch": 3.41, + "learning_rate": 6.373931130113243e-06, + "loss": 0.815, + "step": 29480 + }, + { + "epoch": 3.41, + "learning_rate": 6.369308990062399e-06, + "loss": 1.0707, + "step": 29490 + }, + { + "epoch": 3.41, + "learning_rate": 6.364686850011556e-06, + "loss": 0.9669, + "step": 29500 + }, + { + "epoch": 3.41, + "learning_rate": 6.3600647099607125e-06, + "loss": 0.9408, + "step": 29510 + }, + { + "epoch": 3.41, + "learning_rate": 6.355442569909869e-06, + "loss": 0.895, + "step": 29520 + }, + { + "epoch": 3.41, + "learning_rate": 6.350820429859025e-06, + "loss": 0.8228, + "step": 29530 + }, + { + "epoch": 3.41, + "learning_rate": 6.346198289808182e-06, + "loss": 0.7528, + "step": 29540 + }, + { + "epoch": 3.41, + "learning_rate": 6.341576149757338e-06, + "loss": 0.8785, + "step": 29550 + }, + { + "epoch": 3.42, + "learning_rate": 6.336954009706494e-06, + "loss": 0.8125, + "step": 29560 + }, + { + "epoch": 3.42, + "learning_rate": 6.332331869655652e-06, + "loss": 0.8091, + "step": 29570 + }, + { + "epoch": 3.42, + "learning_rate": 6.327709729604807e-06, + "loss": 0.7012, + "step": 29580 + }, + { + "epoch": 3.42, + "learning_rate": 6.323087589553965e-06, + "loss": 0.8517, + "step": 29590 + }, + { + "epoch": 3.42, + "learning_rate": 6.318465449503121e-06, + "loss": 0.6918, + "step": 29600 + }, + { + "epoch": 3.42, + "learning_rate": 6.3138433094522765e-06, + "loss": 0.732, + "step": 29610 + }, + { + "epoch": 3.42, + "learning_rate": 6.309221169401434e-06, + "loss": 0.983, + "step": 29620 + }, + { + "epoch": 3.42, + "learning_rate": 6.30459902935059e-06, + "loss": 0.9221, + "step": 29630 + }, + { + "epoch": 3.43, + "learning_rate": 6.299976889299746e-06, + "loss": 0.6968, + "step": 29640 + }, + { + "epoch": 3.43, + "learning_rate": 6.295354749248903e-06, + "loss": 0.9248, + "step": 29650 + }, + { + "epoch": 3.43, + "learning_rate": 6.290732609198059e-06, + "loss": 0.849, + "step": 29660 + }, + { + "epoch": 3.43, + "learning_rate": 6.286110469147216e-06, + "loss": 0.889, + "step": 29670 + }, + { + "epoch": 3.43, + "learning_rate": 6.281488329096372e-06, + "loss": 1.0205, + "step": 29680 + }, + { + "epoch": 3.43, + "learning_rate": 6.276866189045528e-06, + "loss": 0.8745, + "step": 29690 + }, + { + "epoch": 3.43, + "learning_rate": 6.272244048994685e-06, + "loss": 0.8305, + "step": 29700 + }, + { + "epoch": 3.43, + "learning_rate": 6.267621908943841e-06, + "loss": 0.7744, + "step": 29710 + }, + { + "epoch": 3.43, + "learning_rate": 6.262999768892998e-06, + "loss": 0.9345, + "step": 29720 + }, + { + "epoch": 3.44, + "learning_rate": 6.258377628842155e-06, + "loss": 0.7373, + "step": 29730 + }, + { + "epoch": 3.44, + "learning_rate": 6.253755488791311e-06, + "loss": 0.8527, + "step": 29740 + }, + { + "epoch": 3.44, + "learning_rate": 6.249133348740467e-06, + "loss": 0.7444, + "step": 29750 + }, + { + "epoch": 3.44, + "learning_rate": 6.244511208689624e-06, + "loss": 0.9182, + "step": 29760 + }, + { + "epoch": 3.44, + "learning_rate": 6.2398890686387805e-06, + "loss": 0.9149, + "step": 29770 + }, + { + "epoch": 3.44, + "learning_rate": 6.235266928587936e-06, + "loss": 0.7782, + "step": 29780 + }, + { + "epoch": 3.44, + "learning_rate": 6.230644788537094e-06, + "loss": 0.9068, + "step": 29790 + }, + { + "epoch": 3.44, + "learning_rate": 6.22602264848625e-06, + "loss": 0.9879, + "step": 29800 + }, + { + "epoch": 3.44, + "learning_rate": 6.221400508435405e-06, + "loss": 0.7616, + "step": 29810 + }, + { + "epoch": 3.45, + "learning_rate": 6.216778368384563e-06, + "loss": 0.6894, + "step": 29820 + }, + { + "epoch": 3.45, + "learning_rate": 6.212156228333719e-06, + "loss": 0.8776, + "step": 29830 + }, + { + "epoch": 3.45, + "learning_rate": 6.2075340882828745e-06, + "loss": 0.7742, + "step": 29840 + }, + { + "epoch": 3.45, + "learning_rate": 6.202911948232032e-06, + "loss": 1.078, + "step": 29850 + }, + { + "epoch": 3.45, + "learning_rate": 6.198289808181188e-06, + "loss": 0.7034, + "step": 29860 + }, + { + "epoch": 3.45, + "learning_rate": 6.193667668130345e-06, + "loss": 0.7158, + "step": 29870 + }, + { + "epoch": 3.45, + "learning_rate": 6.189045528079501e-06, + "loss": 0.7022, + "step": 29880 + }, + { + "epoch": 3.45, + "learning_rate": 6.184423388028658e-06, + "loss": 1.044, + "step": 29890 + }, + { + "epoch": 3.46, + "learning_rate": 6.1798012479778145e-06, + "loss": 0.7976, + "step": 29900 + }, + { + "epoch": 3.46, + "learning_rate": 6.175179107926971e-06, + "loss": 1.044, + "step": 29910 + }, + { + "epoch": 3.46, + "learning_rate": 6.170556967876127e-06, + "loss": 0.6926, + "step": 29920 + }, + { + "epoch": 3.46, + "learning_rate": 6.165934827825284e-06, + "loss": 0.945, + "step": 29930 + }, + { + "epoch": 3.46, + "learning_rate": 6.16131268777444e-06, + "loss": 0.9021, + "step": 29940 + }, + { + "epoch": 3.46, + "learning_rate": 6.156690547723596e-06, + "loss": 0.9632, + "step": 29950 + }, + { + "epoch": 3.46, + "learning_rate": 6.152068407672754e-06, + "loss": 0.8855, + "step": 29960 + }, + { + "epoch": 3.46, + "learning_rate": 6.147446267621909e-06, + "loss": 0.7423, + "step": 29970 + }, + { + "epoch": 3.46, + "learning_rate": 6.142824127571065e-06, + "loss": 0.8642, + "step": 29980 + }, + { + "epoch": 3.47, + "learning_rate": 6.138201987520223e-06, + "loss": 0.7475, + "step": 29990 + }, + { + "epoch": 3.47, + "learning_rate": 6.1335798474693785e-06, + "loss": 0.9552, + "step": 30000 + }, + { + "epoch": 3.47, + "learning_rate": 6.128957707418536e-06, + "loss": 0.7389, + "step": 30010 + }, + { + "epoch": 3.47, + "learning_rate": 6.124335567367692e-06, + "loss": 0.8187, + "step": 30020 + }, + { + "epoch": 3.47, + "learning_rate": 6.119713427316848e-06, + "loss": 0.8994, + "step": 30030 + }, + { + "epoch": 3.47, + "learning_rate": 6.115091287266005e-06, + "loss": 0.8383, + "step": 30040 + }, + { + "epoch": 3.47, + "learning_rate": 6.110469147215161e-06, + "loss": 0.7675, + "step": 30050 + }, + { + "epoch": 3.47, + "learning_rate": 6.105847007164318e-06, + "loss": 0.8097, + "step": 30060 + }, + { + "epoch": 3.47, + "learning_rate": 6.101224867113474e-06, + "loss": 0.9229, + "step": 30070 + }, + { + "epoch": 3.48, + "learning_rate": 6.09660272706263e-06, + "loss": 0.7139, + "step": 30080 + }, + { + "epoch": 3.48, + "learning_rate": 6.091980587011787e-06, + "loss": 1.0467, + "step": 30090 + }, + { + "epoch": 3.48, + "learning_rate": 6.087358446960943e-06, + "loss": 0.7595, + "step": 30100 + }, + { + "epoch": 3.48, + "learning_rate": 6.0827363069101e-06, + "loss": 1.0367, + "step": 30110 + }, + { + "epoch": 3.48, + "learning_rate": 6.078114166859256e-06, + "loss": 0.8861, + "step": 30120 + }, + { + "epoch": 3.48, + "learning_rate": 6.073492026808413e-06, + "loss": 0.8908, + "step": 30130 + }, + { + "epoch": 3.48, + "learning_rate": 6.068869886757569e-06, + "loss": 0.6384, + "step": 30140 + }, + { + "epoch": 3.48, + "learning_rate": 6.064247746706726e-06, + "loss": 0.98, + "step": 30150 + }, + { + "epoch": 3.49, + "learning_rate": 6.0596256066558825e-06, + "loss": 0.6826, + "step": 30160 + }, + { + "epoch": 3.49, + "learning_rate": 6.055003466605038e-06, + "loss": 0.794, + "step": 30170 + }, + { + "epoch": 3.49, + "learning_rate": 6.050381326554196e-06, + "loss": 0.9946, + "step": 30180 + }, + { + "epoch": 3.49, + "learning_rate": 6.045759186503352e-06, + "loss": 0.8076, + "step": 30190 + }, + { + "epoch": 3.49, + "learning_rate": 6.0411370464525074e-06, + "loss": 0.923, + "step": 30200 + }, + { + "epoch": 3.49, + "learning_rate": 6.036514906401665e-06, + "loss": 0.845, + "step": 30210 + }, + { + "epoch": 3.49, + "learning_rate": 6.031892766350821e-06, + "loss": 0.9595, + "step": 30220 + }, + { + "epoch": 3.49, + "learning_rate": 6.0272706262999766e-06, + "loss": 0.8638, + "step": 30230 + }, + { + "epoch": 3.49, + "learning_rate": 6.022648486249134e-06, + "loss": 0.9146, + "step": 30240 + }, + { + "epoch": 3.5, + "learning_rate": 6.01802634619829e-06, + "loss": 0.9238, + "step": 30250 + }, + { + "epoch": 3.5, + "learning_rate": 6.0134042061474465e-06, + "loss": 0.9476, + "step": 30260 + }, + { + "epoch": 3.5, + "learning_rate": 6.008782066096603e-06, + "loss": 0.8826, + "step": 30270 + }, + { + "epoch": 3.5, + "learning_rate": 6.00415992604576e-06, + "loss": 0.9541, + "step": 30280 + }, + { + "epoch": 3.5, + "learning_rate": 5.9995377859949165e-06, + "loss": 1.0633, + "step": 30290 + }, + { + "epoch": 3.5, + "learning_rate": 5.994915645944072e-06, + "loss": 0.9129, + "step": 30300 + }, + { + "epoch": 3.5, + "learning_rate": 5.990293505893229e-06, + "loss": 0.8856, + "step": 30310 + }, + { + "epoch": 3.5, + "learning_rate": 5.985671365842386e-06, + "loss": 0.9816, + "step": 30320 + }, + { + "epoch": 3.5, + "learning_rate": 5.981049225791542e-06, + "loss": 0.8002, + "step": 30330 + }, + { + "epoch": 3.51, + "learning_rate": 5.976427085740698e-06, + "loss": 0.6676, + "step": 30340 + }, + { + "epoch": 3.51, + "learning_rate": 5.971804945689856e-06, + "loss": 0.9051, + "step": 30350 + }, + { + "epoch": 3.51, + "learning_rate": 5.967182805639011e-06, + "loss": 0.8283, + "step": 30360 + }, + { + "epoch": 3.51, + "learning_rate": 5.962560665588167e-06, + "loss": 0.7252, + "step": 30370 + }, + { + "epoch": 3.51, + "learning_rate": 5.957938525537325e-06, + "loss": 0.7683, + "step": 30380 + }, + { + "epoch": 3.51, + "learning_rate": 5.9533163854864805e-06, + "loss": 0.9603, + "step": 30390 + }, + { + "epoch": 3.51, + "learning_rate": 5.948694245435636e-06, + "loss": 0.9123, + "step": 30400 + }, + { + "epoch": 3.51, + "learning_rate": 5.944072105384794e-06, + "loss": 0.8642, + "step": 30410 + }, + { + "epoch": 3.52, + "learning_rate": 5.93944996533395e-06, + "loss": 0.7925, + "step": 30420 + }, + { + "epoch": 3.52, + "learning_rate": 5.934827825283107e-06, + "loss": 0.8801, + "step": 30430 + }, + { + "epoch": 3.52, + "learning_rate": 5.930205685232263e-06, + "loss": 0.8615, + "step": 30440 + }, + { + "epoch": 3.52, + "learning_rate": 5.92558354518142e-06, + "loss": 0.9567, + "step": 30450 + }, + { + "epoch": 3.52, + "learning_rate": 5.920961405130576e-06, + "loss": 0.7802, + "step": 30460 + }, + { + "epoch": 3.52, + "learning_rate": 5.916339265079732e-06, + "loss": 1.1759, + "step": 30470 + }, + { + "epoch": 3.52, + "learning_rate": 5.911717125028889e-06, + "loss": 0.8243, + "step": 30480 + }, + { + "epoch": 3.52, + "learning_rate": 5.907094984978045e-06, + "loss": 0.7658, + "step": 30490 + }, + { + "epoch": 3.52, + "learning_rate": 5.902472844927202e-06, + "loss": 0.779, + "step": 30500 + }, + { + "epoch": 3.53, + "learning_rate": 5.897850704876358e-06, + "loss": 0.8353, + "step": 30510 + }, + { + "epoch": 3.53, + "learning_rate": 5.893228564825515e-06, + "loss": 0.9356, + "step": 30520 + }, + { + "epoch": 3.53, + "learning_rate": 5.888606424774671e-06, + "loss": 0.7757, + "step": 30530 + }, + { + "epoch": 3.53, + "learning_rate": 5.883984284723827e-06, + "loss": 0.8806, + "step": 30540 + }, + { + "epoch": 3.53, + "learning_rate": 5.8793621446729845e-06, + "loss": 0.8379, + "step": 30550 + }, + { + "epoch": 3.53, + "learning_rate": 5.87474000462214e-06, + "loss": 0.9109, + "step": 30560 + }, + { + "epoch": 3.53, + "learning_rate": 5.870117864571298e-06, + "loss": 1.0452, + "step": 30570 + }, + { + "epoch": 3.53, + "learning_rate": 5.865495724520454e-06, + "loss": 0.8265, + "step": 30580 + }, + { + "epoch": 3.53, + "learning_rate": 5.8608735844696094e-06, + "loss": 0.8656, + "step": 30590 + }, + { + "epoch": 3.54, + "learning_rate": 5.856251444418767e-06, + "loss": 0.8771, + "step": 30600 + }, + { + "epoch": 3.54, + "learning_rate": 5.851629304367923e-06, + "loss": 0.798, + "step": 30610 + }, + { + "epoch": 3.54, + "learning_rate": 5.8470071643170786e-06, + "loss": 0.9063, + "step": 30620 + }, + { + "epoch": 3.54, + "learning_rate": 5.842385024266236e-06, + "loss": 1.0025, + "step": 30630 + }, + { + "epoch": 3.54, + "learning_rate": 5.837762884215392e-06, + "loss": 0.6315, + "step": 30640 + }, + { + "epoch": 3.54, + "learning_rate": 5.8331407441645485e-06, + "loss": 0.9338, + "step": 30650 + }, + { + "epoch": 3.54, + "learning_rate": 5.828518604113705e-06, + "loss": 0.8425, + "step": 30660 + }, + { + "epoch": 3.54, + "learning_rate": 5.823896464062862e-06, + "loss": 0.8984, + "step": 30670 + }, + { + "epoch": 3.55, + "learning_rate": 5.819274324012018e-06, + "loss": 0.9077, + "step": 30680 + }, + { + "epoch": 3.55, + "learning_rate": 5.814652183961174e-06, + "loss": 0.9365, + "step": 30690 + }, + { + "epoch": 3.55, + "learning_rate": 5.810030043910331e-06, + "loss": 0.8355, + "step": 30700 + }, + { + "epoch": 3.55, + "learning_rate": 5.805407903859488e-06, + "loss": 0.6667, + "step": 30710 + }, + { + "epoch": 3.55, + "learning_rate": 5.800785763808644e-06, + "loss": 0.7739, + "step": 30720 + }, + { + "epoch": 3.55, + "learning_rate": 5.7961636237578e-06, + "loss": 0.8172, + "step": 30730 + }, + { + "epoch": 3.55, + "learning_rate": 5.791541483706958e-06, + "loss": 1.0454, + "step": 30740 + }, + { + "epoch": 3.55, + "learning_rate": 5.786919343656113e-06, + "loss": 0.8318, + "step": 30750 + }, + { + "epoch": 3.55, + "learning_rate": 5.782297203605269e-06, + "loss": 0.9377, + "step": 30760 + }, + { + "epoch": 3.56, + "learning_rate": 5.777675063554427e-06, + "loss": 0.6052, + "step": 30770 + }, + { + "epoch": 3.56, + "learning_rate": 5.7730529235035825e-06, + "loss": 1.0585, + "step": 30780 + }, + { + "epoch": 3.56, + "learning_rate": 5.768430783452738e-06, + "loss": 0.8736, + "step": 30790 + }, + { + "epoch": 3.56, + "learning_rate": 5.763808643401896e-06, + "loss": 1.0315, + "step": 30800 + }, + { + "epoch": 3.56, + "learning_rate": 5.759186503351052e-06, + "loss": 0.7712, + "step": 30810 + }, + { + "epoch": 3.56, + "learning_rate": 5.754564363300208e-06, + "loss": 0.6027, + "step": 30820 + }, + { + "epoch": 3.56, + "learning_rate": 5.749942223249365e-06, + "loss": 0.7691, + "step": 30830 + }, + { + "epoch": 3.56, + "learning_rate": 5.745320083198521e-06, + "loss": 0.6528, + "step": 30840 + }, + { + "epoch": 3.56, + "learning_rate": 5.740697943147678e-06, + "loss": 0.6408, + "step": 30850 + }, + { + "epoch": 3.57, + "learning_rate": 5.736075803096834e-06, + "loss": 0.9642, + "step": 30860 + }, + { + "epoch": 3.57, + "learning_rate": 5.731453663045991e-06, + "loss": 0.9317, + "step": 30870 + }, + { + "epoch": 3.57, + "learning_rate": 5.726831522995147e-06, + "loss": 0.9001, + "step": 30880 + }, + { + "epoch": 3.57, + "learning_rate": 5.722209382944304e-06, + "loss": 0.9841, + "step": 30890 + }, + { + "epoch": 3.57, + "learning_rate": 5.71758724289346e-06, + "loss": 0.7443, + "step": 30900 + }, + { + "epoch": 3.57, + "learning_rate": 5.712965102842617e-06, + "loss": 0.8652, + "step": 30910 + }, + { + "epoch": 3.57, + "learning_rate": 5.708342962791773e-06, + "loss": 0.8468, + "step": 30920 + }, + { + "epoch": 3.57, + "learning_rate": 5.703720822740929e-06, + "loss": 0.7214, + "step": 30930 + }, + { + "epoch": 3.58, + "learning_rate": 5.6990986826900865e-06, + "loss": 0.7537, + "step": 30940 + }, + { + "epoch": 3.58, + "learning_rate": 5.694476542639242e-06, + "loss": 0.8986, + "step": 30950 + }, + { + "epoch": 3.58, + "learning_rate": 5.689854402588398e-06, + "loss": 0.7873, + "step": 30960 + }, + { + "epoch": 3.58, + "learning_rate": 5.685232262537556e-06, + "loss": 0.803, + "step": 30970 + }, + { + "epoch": 3.58, + "learning_rate": 5.6806101224867114e-06, + "loss": 0.7862, + "step": 30980 + }, + { + "epoch": 3.58, + "learning_rate": 5.675987982435869e-06, + "loss": 1.0793, + "step": 30990 + }, + { + "epoch": 3.58, + "learning_rate": 5.671365842385025e-06, + "loss": 0.7539, + "step": 31000 + }, + { + "epoch": 3.58, + "learning_rate": 5.6667437023341806e-06, + "loss": 0.8763, + "step": 31010 + }, + { + "epoch": 3.58, + "learning_rate": 5.662121562283338e-06, + "loss": 0.6781, + "step": 31020 + }, + { + "epoch": 3.59, + "learning_rate": 5.657499422232494e-06, + "loss": 0.9579, + "step": 31030 + }, + { + "epoch": 3.59, + "learning_rate": 5.6528772821816505e-06, + "loss": 0.9341, + "step": 31040 + }, + { + "epoch": 3.59, + "learning_rate": 5.648255142130807e-06, + "loss": 1.1077, + "step": 31050 + }, + { + "epoch": 3.59, + "learning_rate": 5.643633002079964e-06, + "loss": 0.9129, + "step": 31060 + }, + { + "epoch": 3.59, + "learning_rate": 5.63901086202912e-06, + "loss": 0.856, + "step": 31070 + }, + { + "epoch": 3.59, + "learning_rate": 5.634388721978276e-06, + "loss": 0.8224, + "step": 31080 + }, + { + "epoch": 3.59, + "learning_rate": 5.629766581927433e-06, + "loss": 0.7852, + "step": 31090 + }, + { + "epoch": 3.59, + "learning_rate": 5.625144441876589e-06, + "loss": 0.7073, + "step": 31100 + }, + { + "epoch": 3.59, + "learning_rate": 5.620522301825746e-06, + "loss": 0.8302, + "step": 31110 + }, + { + "epoch": 3.6, + "learning_rate": 5.615900161774902e-06, + "loss": 0.8213, + "step": 31120 + }, + { + "epoch": 3.6, + "learning_rate": 5.61127802172406e-06, + "loss": 0.8312, + "step": 31130 + }, + { + "epoch": 3.6, + "learning_rate": 5.606655881673215e-06, + "loss": 1.1522, + "step": 31140 + }, + { + "epoch": 3.6, + "learning_rate": 5.602033741622371e-06, + "loss": 0.7461, + "step": 31150 + }, + { + "epoch": 3.6, + "learning_rate": 5.597411601571529e-06, + "loss": 0.6285, + "step": 31160 + }, + { + "epoch": 3.6, + "learning_rate": 5.5927894615206845e-06, + "loss": 0.8482, + "step": 31170 + }, + { + "epoch": 3.6, + "learning_rate": 5.58816732146984e-06, + "loss": 0.8016, + "step": 31180 + }, + { + "epoch": 3.6, + "learning_rate": 5.583545181418998e-06, + "loss": 0.8694, + "step": 31190 + }, + { + "epoch": 3.61, + "learning_rate": 5.578923041368154e-06, + "loss": 0.748, + "step": 31200 + }, + { + "epoch": 3.61, + "learning_rate": 5.57430090131731e-06, + "loss": 0.6325, + "step": 31210 + }, + { + "epoch": 3.61, + "learning_rate": 5.569678761266467e-06, + "loss": 0.9593, + "step": 31220 + }, + { + "epoch": 3.61, + "learning_rate": 5.565056621215623e-06, + "loss": 0.8622, + "step": 31230 + }, + { + "epoch": 3.61, + "learning_rate": 5.5604344811647794e-06, + "loss": 0.7673, + "step": 31240 + }, + { + "epoch": 3.61, + "learning_rate": 5.555812341113936e-06, + "loss": 0.743, + "step": 31250 + }, + { + "epoch": 3.61, + "learning_rate": 5.551190201063093e-06, + "loss": 0.7737, + "step": 31260 + }, + { + "epoch": 3.61, + "learning_rate": 5.546568061012249e-06, + "loss": 1.0571, + "step": 31270 + }, + { + "epoch": 3.61, + "learning_rate": 5.541945920961406e-06, + "loss": 0.8764, + "step": 31280 + }, + { + "epoch": 3.62, + "learning_rate": 5.537323780910562e-06, + "loss": 0.8038, + "step": 31290 + }, + { + "epoch": 3.62, + "learning_rate": 5.5327016408597185e-06, + "loss": 0.8628, + "step": 31300 + }, + { + "epoch": 3.62, + "learning_rate": 5.528079500808875e-06, + "loss": 0.8848, + "step": 31310 + }, + { + "epoch": 3.62, + "learning_rate": 5.523457360758031e-06, + "loss": 0.9369, + "step": 31320 + }, + { + "epoch": 3.62, + "learning_rate": 5.5188352207071885e-06, + "loss": 0.882, + "step": 31330 + }, + { + "epoch": 3.62, + "learning_rate": 5.514213080656344e-06, + "loss": 0.9396, + "step": 31340 + }, + { + "epoch": 3.62, + "learning_rate": 5.5095909406055e-06, + "loss": 0.8998, + "step": 31350 + }, + { + "epoch": 3.62, + "learning_rate": 5.504968800554658e-06, + "loss": 1.3042, + "step": 31360 + }, + { + "epoch": 3.62, + "learning_rate": 5.5003466605038134e-06, + "loss": 0.9423, + "step": 31370 + }, + { + "epoch": 3.63, + "learning_rate": 5.495724520452969e-06, + "loss": 0.7841, + "step": 31380 + }, + { + "epoch": 3.63, + "learning_rate": 5.491102380402127e-06, + "loss": 0.9359, + "step": 31390 + }, + { + "epoch": 3.63, + "learning_rate": 5.4864802403512826e-06, + "loss": 0.762, + "step": 31400 + }, + { + "epoch": 3.63, + "learning_rate": 5.48185810030044e-06, + "loss": 0.706, + "step": 31410 + }, + { + "epoch": 3.63, + "learning_rate": 5.477235960249596e-06, + "loss": 0.7816, + "step": 31420 + }, + { + "epoch": 3.63, + "learning_rate": 5.4726138201987525e-06, + "loss": 0.966, + "step": 31430 + }, + { + "epoch": 3.63, + "learning_rate": 5.467991680147909e-06, + "loss": 0.8295, + "step": 31440 + }, + { + "epoch": 3.63, + "learning_rate": 5.463369540097066e-06, + "loss": 0.6668, + "step": 31450 + }, + { + "epoch": 3.64, + "learning_rate": 5.458747400046222e-06, + "loss": 0.8141, + "step": 31460 + }, + { + "epoch": 3.64, + "learning_rate": 5.454125259995378e-06, + "loss": 0.9401, + "step": 31470 + }, + { + "epoch": 3.64, + "learning_rate": 5.449503119944535e-06, + "loss": 0.7878, + "step": 31480 + }, + { + "epoch": 3.64, + "learning_rate": 5.444880979893691e-06, + "loss": 0.8414, + "step": 31490 + }, + { + "epoch": 3.64, + "learning_rate": 5.440258839842848e-06, + "loss": 0.8171, + "step": 31500 + }, + { + "epoch": 3.64, + "learning_rate": 5.435636699792004e-06, + "loss": 0.6889, + "step": 31510 + }, + { + "epoch": 3.64, + "learning_rate": 5.43101455974116e-06, + "loss": 1.1446, + "step": 31520 + }, + { + "epoch": 3.64, + "learning_rate": 5.426392419690317e-06, + "loss": 0.9803, + "step": 31530 + }, + { + "epoch": 3.64, + "learning_rate": 5.421770279639473e-06, + "loss": 0.7923, + "step": 31540 + }, + { + "epoch": 3.65, + "learning_rate": 5.417148139588631e-06, + "loss": 0.9544, + "step": 31550 + }, + { + "epoch": 3.65, + "learning_rate": 5.4125259995377865e-06, + "loss": 0.9628, + "step": 31560 + }, + { + "epoch": 3.65, + "learning_rate": 5.407903859486942e-06, + "loss": 0.9337, + "step": 31570 + }, + { + "epoch": 3.65, + "learning_rate": 5.4032817194361e-06, + "loss": 0.6862, + "step": 31580 + }, + { + "epoch": 3.65, + "learning_rate": 5.398659579385256e-06, + "loss": 0.9313, + "step": 31590 + }, + { + "epoch": 3.65, + "learning_rate": 5.394037439334412e-06, + "loss": 1.0059, + "step": 31600 + }, + { + "epoch": 3.65, + "learning_rate": 5.389415299283569e-06, + "loss": 0.7732, + "step": 31610 + }, + { + "epoch": 3.65, + "learning_rate": 5.384793159232725e-06, + "loss": 0.9112, + "step": 31620 + }, + { + "epoch": 3.65, + "learning_rate": 5.3801710191818815e-06, + "loss": 0.6584, + "step": 31630 + }, + { + "epoch": 3.66, + "learning_rate": 5.375548879131038e-06, + "loss": 1.0028, + "step": 31640 + }, + { + "epoch": 3.66, + "learning_rate": 5.370926739080195e-06, + "loss": 0.5654, + "step": 31650 + }, + { + "epoch": 3.66, + "learning_rate": 5.3663045990293506e-06, + "loss": 1.01, + "step": 31660 + }, + { + "epoch": 3.66, + "learning_rate": 5.361682458978508e-06, + "loss": 1.0378, + "step": 31670 + }, + { + "epoch": 3.66, + "learning_rate": 5.357060318927664e-06, + "loss": 0.8025, + "step": 31680 + }, + { + "epoch": 3.66, + "learning_rate": 5.3524381788768205e-06, + "loss": 0.7708, + "step": 31690 + }, + { + "epoch": 3.66, + "learning_rate": 5.347816038825977e-06, + "loss": 0.7094, + "step": 31700 + }, + { + "epoch": 3.66, + "learning_rate": 5.343193898775133e-06, + "loss": 0.8695, + "step": 31710 + }, + { + "epoch": 3.67, + "learning_rate": 5.3385717587242905e-06, + "loss": 0.9695, + "step": 31720 + }, + { + "epoch": 3.67, + "learning_rate": 5.333949618673446e-06, + "loss": 1.1341, + "step": 31730 + }, + { + "epoch": 3.67, + "learning_rate": 5.329327478622602e-06, + "loss": 0.8134, + "step": 31740 + }, + { + "epoch": 3.67, + "learning_rate": 5.32470533857176e-06, + "loss": 0.7116, + "step": 31750 + }, + { + "epoch": 3.67, + "learning_rate": 5.3200831985209155e-06, + "loss": 0.8082, + "step": 31760 + }, + { + "epoch": 3.67, + "learning_rate": 5.315461058470071e-06, + "loss": 0.9589, + "step": 31770 + }, + { + "epoch": 3.67, + "learning_rate": 5.310838918419229e-06, + "loss": 0.9333, + "step": 31780 + }, + { + "epoch": 3.67, + "learning_rate": 5.306216778368385e-06, + "loss": 1.074, + "step": 31790 + }, + { + "epoch": 3.67, + "learning_rate": 5.301594638317541e-06, + "loss": 0.9684, + "step": 31800 + }, + { + "epoch": 3.68, + "learning_rate": 5.296972498266698e-06, + "loss": 0.8997, + "step": 31810 + }, + { + "epoch": 3.68, + "learning_rate": 5.2923503582158545e-06, + "loss": 0.8261, + "step": 31820 + }, + { + "epoch": 3.68, + "learning_rate": 5.287728218165011e-06, + "loss": 0.896, + "step": 31830 + }, + { + "epoch": 3.68, + "learning_rate": 5.283106078114167e-06, + "loss": 0.8647, + "step": 31840 + }, + { + "epoch": 3.68, + "learning_rate": 5.278483938063324e-06, + "loss": 1.0863, + "step": 31850 + }, + { + "epoch": 3.68, + "learning_rate": 5.27386179801248e-06, + "loss": 0.8158, + "step": 31860 + }, + { + "epoch": 3.68, + "learning_rate": 5.269239657961637e-06, + "loss": 1.0486, + "step": 31870 + }, + { + "epoch": 3.68, + "learning_rate": 5.264617517910793e-06, + "loss": 0.7684, + "step": 31880 + }, + { + "epoch": 3.69, + "learning_rate": 5.25999537785995e-06, + "loss": 0.9442, + "step": 31890 + }, + { + "epoch": 3.69, + "learning_rate": 5.255373237809106e-06, + "loss": 0.7393, + "step": 31900 + }, + { + "epoch": 3.69, + "learning_rate": 5.250751097758262e-06, + "loss": 0.9354, + "step": 31910 + }, + { + "epoch": 3.69, + "learning_rate": 5.2461289577074194e-06, + "loss": 1.1204, + "step": 31920 + }, + { + "epoch": 3.69, + "learning_rate": 5.241506817656575e-06, + "loss": 0.9393, + "step": 31930 + }, + { + "epoch": 3.69, + "learning_rate": 5.236884677605731e-06, + "loss": 0.7269, + "step": 31940 + }, + { + "epoch": 3.69, + "learning_rate": 5.2322625375548886e-06, + "loss": 0.902, + "step": 31950 + }, + { + "epoch": 3.69, + "learning_rate": 5.227640397504044e-06, + "loss": 1.013, + "step": 31960 + }, + { + "epoch": 3.69, + "learning_rate": 5.223018257453202e-06, + "loss": 0.8245, + "step": 31970 + }, + { + "epoch": 3.7, + "learning_rate": 5.218396117402358e-06, + "loss": 0.9236, + "step": 31980 + }, + { + "epoch": 3.7, + "learning_rate": 5.213773977351514e-06, + "loss": 0.7506, + "step": 31990 + }, + { + "epoch": 3.7, + "learning_rate": 5.209151837300671e-06, + "loss": 0.7866, + "step": 32000 + }, + { + "epoch": 3.7, + "learning_rate": 5.204529697249827e-06, + "loss": 0.9782, + "step": 32010 + }, + { + "epoch": 3.7, + "learning_rate": 5.1999075571989835e-06, + "loss": 0.9821, + "step": 32020 + }, + { + "epoch": 3.7, + "learning_rate": 5.19528541714814e-06, + "loss": 0.7737, + "step": 32030 + }, + { + "epoch": 3.7, + "learning_rate": 5.190663277097297e-06, + "loss": 1.1422, + "step": 32040 + }, + { + "epoch": 3.7, + "learning_rate": 5.186041137046453e-06, + "loss": 0.8644, + "step": 32050 + }, + { + "epoch": 3.7, + "learning_rate": 5.18141899699561e-06, + "loss": 0.7484, + "step": 32060 + }, + { + "epoch": 3.71, + "learning_rate": 5.176796856944766e-06, + "loss": 1.0387, + "step": 32070 + }, + { + "epoch": 3.71, + "learning_rate": 5.172174716893922e-06, + "loss": 0.8395, + "step": 32080 + }, + { + "epoch": 3.71, + "learning_rate": 5.167552576843079e-06, + "loss": 0.9372, + "step": 32090 + }, + { + "epoch": 3.71, + "learning_rate": 5.162930436792235e-06, + "loss": 0.8797, + "step": 32100 + }, + { + "epoch": 3.71, + "learning_rate": 5.1583082967413925e-06, + "loss": 0.7911, + "step": 32110 + }, + { + "epoch": 3.71, + "learning_rate": 5.153686156690548e-06, + "loss": 0.7839, + "step": 32120 + }, + { + "epoch": 3.71, + "learning_rate": 5.149064016639704e-06, + "loss": 0.824, + "step": 32130 + }, + { + "epoch": 3.71, + "learning_rate": 5.144441876588862e-06, + "loss": 0.9054, + "step": 32140 + }, + { + "epoch": 3.72, + "learning_rate": 5.1398197365380175e-06, + "loss": 0.7858, + "step": 32150 + }, + { + "epoch": 3.72, + "learning_rate": 5.135197596487173e-06, + "loss": 0.9093, + "step": 32160 + }, + { + "epoch": 3.72, + "learning_rate": 5.130575456436331e-06, + "loss": 0.7226, + "step": 32170 + }, + { + "epoch": 3.72, + "learning_rate": 5.125953316385487e-06, + "loss": 0.8678, + "step": 32180 + }, + { + "epoch": 3.72, + "learning_rate": 5.121331176334643e-06, + "loss": 0.8112, + "step": 32190 + }, + { + "epoch": 3.72, + "learning_rate": 5.1167090362838e-06, + "loss": 0.9278, + "step": 32200 + }, + { + "epoch": 3.72, + "learning_rate": 5.1120868962329566e-06, + "loss": 0.7571, + "step": 32210 + }, + { + "epoch": 3.72, + "learning_rate": 5.107464756182112e-06, + "loss": 0.7609, + "step": 32220 + }, + { + "epoch": 3.72, + "learning_rate": 5.102842616131269e-06, + "loss": 1.0585, + "step": 32230 + }, + { + "epoch": 3.73, + "learning_rate": 5.098220476080426e-06, + "loss": 0.8875, + "step": 32240 + }, + { + "epoch": 3.73, + "learning_rate": 5.093598336029582e-06, + "loss": 0.7976, + "step": 32250 + }, + { + "epoch": 3.73, + "learning_rate": 5.088976195978739e-06, + "loss": 0.9127, + "step": 32260 + }, + { + "epoch": 3.73, + "learning_rate": 5.084354055927895e-06, + "loss": 0.7682, + "step": 32270 + }, + { + "epoch": 3.73, + "learning_rate": 5.079731915877052e-06, + "loss": 0.6877, + "step": 32280 + }, + { + "epoch": 3.73, + "learning_rate": 5.075109775826208e-06, + "loss": 0.6954, + "step": 32290 + }, + { + "epoch": 3.73, + "learning_rate": 5.070487635775364e-06, + "loss": 0.971, + "step": 32300 + }, + { + "epoch": 3.73, + "learning_rate": 5.0658654957245214e-06, + "loss": 0.9932, + "step": 32310 + }, + { + "epoch": 3.73, + "learning_rate": 5.061243355673677e-06, + "loss": 0.9673, + "step": 32320 + }, + { + "epoch": 3.74, + "learning_rate": 5.056621215622833e-06, + "loss": 0.8421, + "step": 32330 + }, + { + "epoch": 3.74, + "learning_rate": 5.0519990755719906e-06, + "loss": 0.9211, + "step": 32340 + }, + { + "epoch": 3.74, + "learning_rate": 5.047376935521146e-06, + "loss": 0.726, + "step": 32350 + }, + { + "epoch": 3.74, + "learning_rate": 5.042754795470303e-06, + "loss": 0.8816, + "step": 32360 + }, + { + "epoch": 3.74, + "learning_rate": 5.03813265541946e-06, + "loss": 0.8957, + "step": 32370 + }, + { + "epoch": 3.74, + "learning_rate": 5.0335105153686155e-06, + "loss": 1.0791, + "step": 32380 + }, + { + "epoch": 3.74, + "learning_rate": 5.028888375317773e-06, + "loss": 0.8557, + "step": 32390 + }, + { + "epoch": 3.74, + "learning_rate": 5.024266235266929e-06, + "loss": 0.7816, + "step": 32400 + }, + { + "epoch": 3.75, + "learning_rate": 5.0196440952160855e-06, + "loss": 0.8009, + "step": 32410 + }, + { + "epoch": 3.75, + "learning_rate": 5.015021955165242e-06, + "loss": 0.7598, + "step": 32420 + }, + { + "epoch": 3.75, + "learning_rate": 5.010399815114399e-06, + "loss": 0.6727, + "step": 32430 + }, + { + "epoch": 3.75, + "learning_rate": 5.005777675063555e-06, + "loss": 0.9336, + "step": 32440 + }, + { + "epoch": 3.75, + "learning_rate": 5.001155535012712e-06, + "loss": 0.6683, + "step": 32450 + }, + { + "epoch": 3.75, + "learning_rate": 4.996533394961868e-06, + "loss": 0.771, + "step": 32460 + }, + { + "epoch": 3.75, + "learning_rate": 4.9919112549110246e-06, + "loss": 1.0298, + "step": 32470 + }, + { + "epoch": 3.75, + "learning_rate": 4.98728911486018e-06, + "loss": 0.9055, + "step": 32480 + }, + { + "epoch": 3.75, + "learning_rate": 4.982666974809337e-06, + "loss": 0.9042, + "step": 32490 + }, + { + "epoch": 3.76, + "learning_rate": 4.978044834758494e-06, + "loss": 0.9432, + "step": 32500 + }, + { + "epoch": 3.76, + "learning_rate": 4.97342269470765e-06, + "loss": 0.8511, + "step": 32510 + }, + { + "epoch": 3.76, + "learning_rate": 4.968800554656806e-06, + "loss": 0.8693, + "step": 32520 + }, + { + "epoch": 3.76, + "learning_rate": 4.964178414605963e-06, + "loss": 0.8486, + "step": 32530 + }, + { + "epoch": 3.76, + "learning_rate": 4.9595562745551195e-06, + "loss": 0.8052, + "step": 32540 + }, + { + "epoch": 3.76, + "learning_rate": 4.954934134504275e-06, + "loss": 0.9511, + "step": 32550 + }, + { + "epoch": 3.76, + "learning_rate": 4.950311994453432e-06, + "loss": 0.849, + "step": 32560 + }, + { + "epoch": 3.76, + "learning_rate": 4.945689854402589e-06, + "loss": 0.6478, + "step": 32570 + }, + { + "epoch": 3.76, + "learning_rate": 4.941067714351745e-06, + "loss": 0.7908, + "step": 32580 + }, + { + "epoch": 3.77, + "learning_rate": 4.936445574300902e-06, + "loss": 0.7656, + "step": 32590 + }, + { + "epoch": 3.77, + "learning_rate": 4.9318234342500586e-06, + "loss": 0.5802, + "step": 32600 + }, + { + "epoch": 3.77, + "learning_rate": 4.927201294199214e-06, + "loss": 0.6914, + "step": 32610 + }, + { + "epoch": 3.77, + "learning_rate": 4.922579154148371e-06, + "loss": 0.7908, + "step": 32620 + }, + { + "epoch": 3.77, + "learning_rate": 4.917957014097528e-06, + "loss": 0.8673, + "step": 32630 + }, + { + "epoch": 3.77, + "learning_rate": 4.913334874046684e-06, + "loss": 0.7313, + "step": 32640 + }, + { + "epoch": 3.77, + "learning_rate": 4.908712733995841e-06, + "loss": 0.7159, + "step": 32650 + }, + { + "epoch": 3.77, + "learning_rate": 4.904090593944997e-06, + "loss": 0.6851, + "step": 32660 + }, + { + "epoch": 3.78, + "learning_rate": 4.8994684538941535e-06, + "loss": 0.6576, + "step": 32670 + }, + { + "epoch": 3.78, + "learning_rate": 4.89484631384331e-06, + "loss": 0.9487, + "step": 32680 + }, + { + "epoch": 3.78, + "learning_rate": 4.890224173792466e-06, + "loss": 0.7275, + "step": 32690 + }, + { + "epoch": 3.78, + "learning_rate": 4.885602033741623e-06, + "loss": 0.942, + "step": 32700 + }, + { + "epoch": 3.78, + "learning_rate": 4.880979893690779e-06, + "loss": 0.5889, + "step": 32710 + }, + { + "epoch": 3.78, + "learning_rate": 4.876357753639936e-06, + "loss": 0.8014, + "step": 32720 + }, + { + "epoch": 3.78, + "learning_rate": 4.871735613589092e-06, + "loss": 0.6518, + "step": 32730 + }, + { + "epoch": 3.78, + "learning_rate": 4.867113473538248e-06, + "loss": 0.7904, + "step": 32740 + }, + { + "epoch": 3.78, + "learning_rate": 4.862491333487405e-06, + "loss": 0.7874, + "step": 32750 + }, + { + "epoch": 3.79, + "learning_rate": 4.857869193436562e-06, + "loss": 0.8205, + "step": 32760 + }, + { + "epoch": 3.79, + "learning_rate": 4.8532470533857175e-06, + "loss": 0.8301, + "step": 32770 + }, + { + "epoch": 3.79, + "learning_rate": 4.848624913334874e-06, + "loss": 0.9569, + "step": 32780 + }, + { + "epoch": 3.79, + "learning_rate": 4.844002773284031e-06, + "loss": 0.8445, + "step": 32790 + }, + { + "epoch": 3.79, + "learning_rate": 4.8393806332331875e-06, + "loss": 0.8738, + "step": 32800 + }, + { + "epoch": 3.79, + "learning_rate": 4.834758493182344e-06, + "loss": 0.8151, + "step": 32810 + }, + { + "epoch": 3.79, + "learning_rate": 4.830136353131501e-06, + "loss": 0.7504, + "step": 32820 + }, + { + "epoch": 3.79, + "learning_rate": 4.825514213080657e-06, + "loss": 0.7596, + "step": 32830 + }, + { + "epoch": 3.79, + "learning_rate": 4.820892073029813e-06, + "loss": 0.9487, + "step": 32840 + }, + { + "epoch": 3.8, + "learning_rate": 4.81626993297897e-06, + "loss": 0.9567, + "step": 32850 + }, + { + "epoch": 3.8, + "learning_rate": 4.8116477929281266e-06, + "loss": 0.789, + "step": 32860 + }, + { + "epoch": 3.8, + "learning_rate": 4.807025652877282e-06, + "loss": 0.8866, + "step": 32870 + }, + { + "epoch": 3.8, + "learning_rate": 4.802403512826439e-06, + "loss": 0.7828, + "step": 32880 + }, + { + "epoch": 3.8, + "learning_rate": 4.797781372775596e-06, + "loss": 0.9807, + "step": 32890 + }, + { + "epoch": 3.8, + "learning_rate": 4.7931592327247515e-06, + "loss": 0.8544, + "step": 32900 + }, + { + "epoch": 3.8, + "learning_rate": 4.788537092673908e-06, + "loss": 0.6157, + "step": 32910 + }, + { + "epoch": 3.8, + "learning_rate": 4.783914952623065e-06, + "loss": 1.1017, + "step": 32920 + }, + { + "epoch": 3.81, + "learning_rate": 4.7792928125722215e-06, + "loss": 0.8704, + "step": 32930 + }, + { + "epoch": 3.81, + "learning_rate": 4.774670672521377e-06, + "loss": 0.8481, + "step": 32940 + }, + { + "epoch": 3.81, + "learning_rate": 4.770048532470534e-06, + "loss": 0.7485, + "step": 32950 + }, + { + "epoch": 3.81, + "learning_rate": 4.765426392419691e-06, + "loss": 0.8658, + "step": 32960 + }, + { + "epoch": 3.81, + "learning_rate": 4.760804252368847e-06, + "loss": 0.7358, + "step": 32970 + }, + { + "epoch": 3.81, + "learning_rate": 4.756182112318004e-06, + "loss": 0.6847, + "step": 32980 + }, + { + "epoch": 3.81, + "learning_rate": 4.7515599722671606e-06, + "loss": 0.8797, + "step": 32990 + }, + { + "epoch": 3.81, + "learning_rate": 4.746937832216316e-06, + "loss": 0.796, + "step": 33000 + }, + { + "epoch": 3.81, + "learning_rate": 4.742315692165473e-06, + "loss": 0.8004, + "step": 33010 + }, + { + "epoch": 3.82, + "learning_rate": 4.73769355211463e-06, + "loss": 0.8445, + "step": 33020 + }, + { + "epoch": 3.82, + "learning_rate": 4.733071412063786e-06, + "loss": 0.9541, + "step": 33030 + }, + { + "epoch": 3.82, + "learning_rate": 4.728449272012942e-06, + "loss": 0.7739, + "step": 33040 + }, + { + "epoch": 3.82, + "learning_rate": 4.723827131962099e-06, + "loss": 0.7691, + "step": 33050 + }, + { + "epoch": 3.82, + "learning_rate": 4.7192049919112555e-06, + "loss": 0.8311, + "step": 33060 + }, + { + "epoch": 3.82, + "learning_rate": 4.714582851860412e-06, + "loss": 0.8351, + "step": 33070 + }, + { + "epoch": 3.82, + "learning_rate": 4.709960711809568e-06, + "loss": 0.7763, + "step": 33080 + }, + { + "epoch": 3.82, + "learning_rate": 4.705338571758725e-06, + "loss": 0.8614, + "step": 33090 + }, + { + "epoch": 3.82, + "learning_rate": 4.700716431707881e-06, + "loss": 0.8305, + "step": 33100 + }, + { + "epoch": 3.83, + "learning_rate": 4.696094291657037e-06, + "loss": 0.7194, + "step": 33110 + }, + { + "epoch": 3.83, + "learning_rate": 4.691472151606194e-06, + "loss": 0.7676, + "step": 33120 + }, + { + "epoch": 3.83, + "learning_rate": 4.68685001155535e-06, + "loss": 0.9108, + "step": 33130 + }, + { + "epoch": 3.83, + "learning_rate": 4.682227871504507e-06, + "loss": 1.0234, + "step": 33140 + }, + { + "epoch": 3.83, + "learning_rate": 4.677605731453663e-06, + "loss": 0.9036, + "step": 33150 + }, + { + "epoch": 3.83, + "learning_rate": 4.6729835914028195e-06, + "loss": 0.8526, + "step": 33160 + }, + { + "epoch": 3.83, + "learning_rate": 4.668361451351976e-06, + "loss": 0.6643, + "step": 33170 + }, + { + "epoch": 3.83, + "learning_rate": 4.663739311301133e-06, + "loss": 0.9805, + "step": 33180 + }, + { + "epoch": 3.84, + "learning_rate": 4.6591171712502895e-06, + "loss": 0.917, + "step": 33190 + }, + { + "epoch": 3.84, + "learning_rate": 4.654495031199446e-06, + "loss": 0.9361, + "step": 33200 + }, + { + "epoch": 3.84, + "learning_rate": 4.649872891148603e-06, + "loss": 1.0172, + "step": 33210 + }, + { + "epoch": 3.84, + "learning_rate": 4.645250751097759e-06, + "loss": 0.93, + "step": 33220 + }, + { + "epoch": 3.84, + "learning_rate": 4.640628611046915e-06, + "loss": 0.7856, + "step": 33230 + }, + { + "epoch": 3.84, + "learning_rate": 4.636006470996072e-06, + "loss": 0.7703, + "step": 33240 + }, + { + "epoch": 3.84, + "learning_rate": 4.631384330945228e-06, + "loss": 0.6893, + "step": 33250 + }, + { + "epoch": 3.84, + "learning_rate": 4.626762190894384e-06, + "loss": 0.8037, + "step": 33260 + }, + { + "epoch": 3.84, + "learning_rate": 4.622140050843541e-06, + "loss": 0.8606, + "step": 33270 + }, + { + "epoch": 3.85, + "learning_rate": 4.617517910792698e-06, + "loss": 0.7846, + "step": 33280 + }, + { + "epoch": 3.85, + "learning_rate": 4.6128957707418535e-06, + "loss": 0.5493, + "step": 33290 + }, + { + "epoch": 3.85, + "learning_rate": 4.60827363069101e-06, + "loss": 0.874, + "step": 33300 + }, + { + "epoch": 3.85, + "learning_rate": 4.603651490640167e-06, + "loss": 0.6667, + "step": 33310 + }, + { + "epoch": 3.85, + "learning_rate": 4.599029350589323e-06, + "loss": 0.8831, + "step": 33320 + }, + { + "epoch": 3.85, + "learning_rate": 4.594407210538479e-06, + "loss": 0.8478, + "step": 33330 + }, + { + "epoch": 3.85, + "learning_rate": 4.589785070487636e-06, + "loss": 0.7208, + "step": 33340 + }, + { + "epoch": 3.85, + "learning_rate": 4.585162930436793e-06, + "loss": 0.8044, + "step": 33350 + }, + { + "epoch": 3.85, + "learning_rate": 4.580540790385949e-06, + "loss": 0.8109, + "step": 33360 + }, + { + "epoch": 3.86, + "learning_rate": 4.575918650335106e-06, + "loss": 0.8922, + "step": 33370 + }, + { + "epoch": 3.86, + "learning_rate": 4.571296510284262e-06, + "loss": 0.8493, + "step": 33380 + }, + { + "epoch": 3.86, + "learning_rate": 4.566674370233418e-06, + "loss": 0.7479, + "step": 33390 + }, + { + "epoch": 3.86, + "learning_rate": 4.562052230182575e-06, + "loss": 0.8697, + "step": 33400 + }, + { + "epoch": 3.86, + "learning_rate": 4.557430090131732e-06, + "loss": 0.8479, + "step": 33410 + }, + { + "epoch": 3.86, + "learning_rate": 4.552807950080888e-06, + "loss": 1.0081, + "step": 33420 + }, + { + "epoch": 3.86, + "learning_rate": 4.548185810030044e-06, + "loss": 0.7775, + "step": 33430 + }, + { + "epoch": 3.86, + "learning_rate": 4.543563669979201e-06, + "loss": 0.8812, + "step": 33440 + }, + { + "epoch": 3.87, + "learning_rate": 4.5389415299283575e-06, + "loss": 0.6718, + "step": 33450 + }, + { + "epoch": 3.87, + "learning_rate": 4.534319389877513e-06, + "loss": 0.9486, + "step": 33460 + }, + { + "epoch": 3.87, + "learning_rate": 4.52969724982667e-06, + "loss": 0.9903, + "step": 33470 + }, + { + "epoch": 3.87, + "learning_rate": 4.525075109775827e-06, + "loss": 0.8399, + "step": 33480 + }, + { + "epoch": 3.87, + "learning_rate": 4.520452969724983e-06, + "loss": 1.0769, + "step": 33490 + }, + { + "epoch": 3.87, + "learning_rate": 4.515830829674139e-06, + "loss": 0.5462, + "step": 33500 + }, + { + "epoch": 3.87, + "learning_rate": 4.511208689623296e-06, + "loss": 0.9348, + "step": 33510 + }, + { + "epoch": 3.87, + "learning_rate": 4.506586549572452e-06, + "loss": 1.0336, + "step": 33520 + }, + { + "epoch": 3.87, + "learning_rate": 4.501964409521609e-06, + "loss": 0.8455, + "step": 33530 + }, + { + "epoch": 3.88, + "learning_rate": 4.497342269470765e-06, + "loss": 0.6238, + "step": 33540 + }, + { + "epoch": 3.88, + "learning_rate": 4.4927201294199215e-06, + "loss": 0.6453, + "step": 33550 + }, + { + "epoch": 3.88, + "learning_rate": 4.488097989369078e-06, + "loss": 0.9314, + "step": 33560 + }, + { + "epoch": 3.88, + "learning_rate": 4.483475849318235e-06, + "loss": 1.0848, + "step": 33570 + }, + { + "epoch": 3.88, + "learning_rate": 4.4788537092673915e-06, + "loss": 0.5453, + "step": 33580 + }, + { + "epoch": 3.88, + "learning_rate": 4.474231569216548e-06, + "loss": 0.7674, + "step": 33590 + }, + { + "epoch": 3.88, + "learning_rate": 4.469609429165704e-06, + "loss": 0.7785, + "step": 33600 + }, + { + "epoch": 3.88, + "learning_rate": 4.464987289114861e-06, + "loss": 0.6392, + "step": 33610 + }, + { + "epoch": 3.88, + "learning_rate": 4.460365149064017e-06, + "loss": 0.7415, + "step": 33620 + }, + { + "epoch": 3.89, + "learning_rate": 4.455743009013174e-06, + "loss": 0.8186, + "step": 33630 + }, + { + "epoch": 3.89, + "learning_rate": 4.45112086896233e-06, + "loss": 0.7765, + "step": 33640 + }, + { + "epoch": 3.89, + "learning_rate": 4.446498728911486e-06, + "loss": 1.0137, + "step": 33650 + }, + { + "epoch": 3.89, + "learning_rate": 4.441876588860643e-06, + "loss": 0.8581, + "step": 33660 + }, + { + "epoch": 3.89, + "learning_rate": 4.437254448809799e-06, + "loss": 0.7715, + "step": 33670 + }, + { + "epoch": 3.89, + "learning_rate": 4.4326323087589555e-06, + "loss": 0.9221, + "step": 33680 + }, + { + "epoch": 3.89, + "learning_rate": 4.428010168708112e-06, + "loss": 1.0978, + "step": 33690 + }, + { + "epoch": 3.89, + "learning_rate": 4.423388028657269e-06, + "loss": 0.9445, + "step": 33700 + }, + { + "epoch": 3.9, + "learning_rate": 4.418765888606425e-06, + "loss": 0.8869, + "step": 33710 + }, + { + "epoch": 3.9, + "learning_rate": 4.414143748555581e-06, + "loss": 0.9934, + "step": 33720 + }, + { + "epoch": 3.9, + "learning_rate": 4.409521608504738e-06, + "loss": 0.849, + "step": 33730 + }, + { + "epoch": 3.9, + "learning_rate": 4.404899468453895e-06, + "loss": 0.6828, + "step": 33740 + }, + { + "epoch": 3.9, + "learning_rate": 4.400277328403051e-06, + "loss": 0.7154, + "step": 33750 + }, + { + "epoch": 3.9, + "learning_rate": 4.395655188352208e-06, + "loss": 0.9535, + "step": 33760 + }, + { + "epoch": 3.9, + "learning_rate": 4.391033048301364e-06, + "loss": 0.8457, + "step": 33770 + }, + { + "epoch": 3.9, + "learning_rate": 4.38641090825052e-06, + "loss": 0.77, + "step": 33780 + }, + { + "epoch": 3.9, + "learning_rate": 4.381788768199677e-06, + "loss": 0.8939, + "step": 33790 + }, + { + "epoch": 3.91, + "learning_rate": 4.377166628148834e-06, + "loss": 0.6355, + "step": 33800 + }, + { + "epoch": 3.91, + "learning_rate": 4.3725444880979895e-06, + "loss": 0.812, + "step": 33810 + }, + { + "epoch": 3.91, + "learning_rate": 4.367922348047146e-06, + "loss": 0.8799, + "step": 33820 + }, + { + "epoch": 3.91, + "learning_rate": 4.363300207996303e-06, + "loss": 0.6812, + "step": 33830 + }, + { + "epoch": 3.91, + "learning_rate": 4.3586780679454595e-06, + "loss": 0.9337, + "step": 33840 + }, + { + "epoch": 3.91, + "learning_rate": 4.354055927894615e-06, + "loss": 0.7518, + "step": 33850 + }, + { + "epoch": 3.91, + "learning_rate": 4.349433787843772e-06, + "loss": 0.945, + "step": 33860 + }, + { + "epoch": 3.91, + "learning_rate": 4.344811647792929e-06, + "loss": 1.0115, + "step": 33870 + }, + { + "epoch": 3.91, + "learning_rate": 4.340189507742084e-06, + "loss": 0.7932, + "step": 33880 + }, + { + "epoch": 3.92, + "learning_rate": 4.335567367691241e-06, + "loss": 0.9372, + "step": 33890 + }, + { + "epoch": 3.92, + "learning_rate": 4.330945227640398e-06, + "loss": 1.0376, + "step": 33900 + }, + { + "epoch": 3.92, + "learning_rate": 4.326323087589554e-06, + "loss": 0.8187, + "step": 33910 + }, + { + "epoch": 3.92, + "learning_rate": 4.32170094753871e-06, + "loss": 0.9372, + "step": 33920 + }, + { + "epoch": 3.92, + "learning_rate": 4.317078807487867e-06, + "loss": 0.6733, + "step": 33930 + }, + { + "epoch": 3.92, + "learning_rate": 4.3124566674370235e-06, + "loss": 0.7882, + "step": 33940 + }, + { + "epoch": 3.92, + "learning_rate": 4.30783452738618e-06, + "loss": 0.7345, + "step": 33950 + }, + { + "epoch": 3.92, + "learning_rate": 4.303212387335337e-06, + "loss": 0.8703, + "step": 33960 + }, + { + "epoch": 3.93, + "learning_rate": 4.2985902472844935e-06, + "loss": 0.782, + "step": 33970 + }, + { + "epoch": 3.93, + "learning_rate": 4.29396810723365e-06, + "loss": 0.904, + "step": 33980 + }, + { + "epoch": 3.93, + "learning_rate": 4.289345967182806e-06, + "loss": 0.8714, + "step": 33990 + }, + { + "epoch": 3.93, + "learning_rate": 4.284723827131963e-06, + "loss": 0.7232, + "step": 34000 + }, + { + "epoch": 3.93, + "learning_rate": 4.280101687081119e-06, + "loss": 0.7414, + "step": 34010 + }, + { + "epoch": 3.93, + "learning_rate": 4.275479547030275e-06, + "loss": 0.7351, + "step": 34020 + }, + { + "epoch": 3.93, + "learning_rate": 4.270857406979432e-06, + "loss": 0.892, + "step": 34030 + }, + { + "epoch": 3.93, + "learning_rate": 4.266235266928588e-06, + "loss": 0.7479, + "step": 34040 + }, + { + "epoch": 3.93, + "learning_rate": 4.261613126877745e-06, + "loss": 0.7142, + "step": 34050 + }, + { + "epoch": 3.94, + "learning_rate": 4.256990986826901e-06, + "loss": 0.8768, + "step": 34060 + }, + { + "epoch": 3.94, + "learning_rate": 4.2523688467760575e-06, + "loss": 0.8008, + "step": 34070 + }, + { + "epoch": 3.94, + "learning_rate": 4.247746706725214e-06, + "loss": 0.7866, + "step": 34080 + }, + { + "epoch": 3.94, + "learning_rate": 4.24312456667437e-06, + "loss": 0.8818, + "step": 34090 + }, + { + "epoch": 3.94, + "learning_rate": 4.238502426623527e-06, + "loss": 0.793, + "step": 34100 + }, + { + "epoch": 3.94, + "learning_rate": 4.233880286572683e-06, + "loss": 0.8238, + "step": 34110 + }, + { + "epoch": 3.94, + "learning_rate": 4.22925814652184e-06, + "loss": 0.8727, + "step": 34120 + }, + { + "epoch": 3.94, + "learning_rate": 4.224636006470997e-06, + "loss": 0.8885, + "step": 34130 + }, + { + "epoch": 3.94, + "learning_rate": 4.220013866420153e-06, + "loss": 1.0344, + "step": 34140 + }, + { + "epoch": 3.95, + "learning_rate": 4.215391726369309e-06, + "loss": 0.8353, + "step": 34150 + }, + { + "epoch": 3.95, + "learning_rate": 4.210769586318466e-06, + "loss": 0.83, + "step": 34160 + }, + { + "epoch": 3.95, + "learning_rate": 4.206147446267622e-06, + "loss": 0.9764, + "step": 34170 + }, + { + "epoch": 3.95, + "learning_rate": 4.201525306216779e-06, + "loss": 0.9879, + "step": 34180 + }, + { + "epoch": 3.95, + "learning_rate": 4.196903166165936e-06, + "loss": 0.7826, + "step": 34190 + }, + { + "epoch": 3.95, + "learning_rate": 4.1922810261150915e-06, + "loss": 0.8169, + "step": 34200 + }, + { + "epoch": 3.95, + "learning_rate": 4.187658886064248e-06, + "loss": 0.6759, + "step": 34210 + }, + { + "epoch": 3.95, + "learning_rate": 4.183036746013405e-06, + "loss": 0.8889, + "step": 34220 + }, + { + "epoch": 3.96, + "learning_rate": 4.178414605962561e-06, + "loss": 0.8383, + "step": 34230 + }, + { + "epoch": 3.96, + "learning_rate": 4.173792465911717e-06, + "loss": 0.9674, + "step": 34240 + }, + { + "epoch": 3.96, + "learning_rate": 4.169170325860874e-06, + "loss": 0.6895, + "step": 34250 + }, + { + "epoch": 3.96, + "learning_rate": 4.164548185810031e-06, + "loss": 0.8246, + "step": 34260 + }, + { + "epoch": 3.96, + "learning_rate": 4.1599260457591864e-06, + "loss": 0.7988, + "step": 34270 + }, + { + "epoch": 3.96, + "learning_rate": 4.155303905708343e-06, + "loss": 0.8485, + "step": 34280 + }, + { + "epoch": 3.96, + "learning_rate": 4.1506817656575e-06, + "loss": 0.7348, + "step": 34290 + }, + { + "epoch": 3.96, + "learning_rate": 4.146059625606656e-06, + "loss": 0.6433, + "step": 34300 + }, + { + "epoch": 3.96, + "learning_rate": 4.141437485555812e-06, + "loss": 0.843, + "step": 34310 + }, + { + "epoch": 3.97, + "learning_rate": 4.136815345504969e-06, + "loss": 0.7484, + "step": 34320 + }, + { + "epoch": 3.97, + "learning_rate": 4.1321932054541255e-06, + "loss": 1.0112, + "step": 34330 + }, + { + "epoch": 3.97, + "learning_rate": 4.127571065403282e-06, + "loss": 0.9275, + "step": 34340 + }, + { + "epoch": 3.97, + "learning_rate": 4.122948925352439e-06, + "loss": 0.7421, + "step": 34350 + }, + { + "epoch": 3.97, + "learning_rate": 4.1183267853015955e-06, + "loss": 0.8663, + "step": 34360 + }, + { + "epoch": 3.97, + "learning_rate": 4.113704645250751e-06, + "loss": 0.8148, + "step": 34370 + }, + { + "epoch": 3.97, + "learning_rate": 4.109082505199908e-06, + "loss": 1.0629, + "step": 34380 + }, + { + "epoch": 3.97, + "learning_rate": 4.104460365149065e-06, + "loss": 0.8802, + "step": 34390 + }, + { + "epoch": 3.98, + "learning_rate": 4.099838225098221e-06, + "loss": 0.7113, + "step": 34400 + }, + { + "epoch": 3.98, + "learning_rate": 4.095216085047377e-06, + "loss": 0.7695, + "step": 34410 + }, + { + "epoch": 3.98, + "learning_rate": 4.090593944996534e-06, + "loss": 0.8435, + "step": 34420 + }, + { + "epoch": 3.98, + "learning_rate": 4.08597180494569e-06, + "loss": 0.958, + "step": 34430 + }, + { + "epoch": 3.98, + "learning_rate": 4.081349664894846e-06, + "loss": 0.9479, + "step": 34440 + }, + { + "epoch": 3.98, + "learning_rate": 4.076727524844003e-06, + "loss": 0.8277, + "step": 34450 + }, + { + "epoch": 3.98, + "learning_rate": 4.0721053847931595e-06, + "loss": 1.0545, + "step": 34460 + }, + { + "epoch": 3.98, + "learning_rate": 4.067483244742316e-06, + "loss": 0.9099, + "step": 34470 + }, + { + "epoch": 3.98, + "learning_rate": 4.062861104691472e-06, + "loss": 0.9452, + "step": 34480 + }, + { + "epoch": 3.99, + "learning_rate": 4.058238964640629e-06, + "loss": 0.8064, + "step": 34490 + }, + { + "epoch": 3.99, + "learning_rate": 4.053616824589785e-06, + "loss": 0.7501, + "step": 34500 + }, + { + "epoch": 3.99, + "learning_rate": 4.048994684538942e-06, + "loss": 0.7351, + "step": 34510 + }, + { + "epoch": 3.99, + "learning_rate": 4.044372544488099e-06, + "loss": 0.647, + "step": 34520 + }, + { + "epoch": 3.99, + "learning_rate": 4.039750404437255e-06, + "loss": 0.9834, + "step": 34530 + }, + { + "epoch": 3.99, + "learning_rate": 4.035128264386411e-06, + "loss": 0.8692, + "step": 34540 + }, + { + "epoch": 3.99, + "learning_rate": 4.030506124335568e-06, + "loss": 0.7937, + "step": 34550 + }, + { + "epoch": 3.99, + "learning_rate": 4.025883984284724e-06, + "loss": 0.8545, + "step": 34560 + }, + { + "epoch": 3.99, + "learning_rate": 4.021261844233881e-06, + "loss": 0.8305, + "step": 34570 + }, + { + "epoch": 4.0, + "learning_rate": 4.016639704183037e-06, + "loss": 0.7454, + "step": 34580 + }, + { + "epoch": 4.0, + "learning_rate": 4.0120175641321935e-06, + "loss": 0.9621, + "step": 34590 + }, + { + "epoch": 4.0, + "learning_rate": 4.00739542408135e-06, + "loss": 1.4021, + "step": 34600 + }, + { + "epoch": 4.0, + "learning_rate": 4.002773284030507e-06, + "loss": 0.8853, + "step": 34610 + }, + { + "epoch": 4.0, + "eval_accuracy": 0.7099942702791192, + "eval_loss": 0.8126096725463867, + "eval_runtime": 367.0628, + "eval_samples_per_second": 33.283, + "eval_steps_per_second": 4.163, + "step": 34616 + }, + { + "epoch": 4.0, + "learning_rate": 3.998151143979663e-06, + "loss": 0.7069, + "step": 34620 + }, + { + "epoch": 4.0, + "learning_rate": 3.993529003928819e-06, + "loss": 0.8001, + "step": 34630 + }, + { + "epoch": 4.0, + "learning_rate": 3.988906863877976e-06, + "loss": 0.8772, + "step": 34640 + }, + { + "epoch": 4.0, + "learning_rate": 3.984284723827132e-06, + "loss": 0.8171, + "step": 34650 + }, + { + "epoch": 4.01, + "learning_rate": 3.9796625837762884e-06, + "loss": 0.7894, + "step": 34660 + }, + { + "epoch": 4.01, + "learning_rate": 3.975040443725445e-06, + "loss": 0.9996, + "step": 34670 + }, + { + "epoch": 4.01, + "learning_rate": 3.970418303674602e-06, + "loss": 0.956, + "step": 34680 + }, + { + "epoch": 4.01, + "learning_rate": 3.9657961636237576e-06, + "loss": 0.8379, + "step": 34690 + }, + { + "epoch": 4.01, + "learning_rate": 3.961174023572914e-06, + "loss": 0.7121, + "step": 34700 + }, + { + "epoch": 4.01, + "learning_rate": 3.956551883522071e-06, + "loss": 0.8737, + "step": 34710 + }, + { + "epoch": 4.01, + "learning_rate": 3.9519297434712275e-06, + "loss": 0.7063, + "step": 34720 + }, + { + "epoch": 4.01, + "learning_rate": 3.947307603420384e-06, + "loss": 0.9014, + "step": 34730 + }, + { + "epoch": 4.01, + "learning_rate": 3.942685463369541e-06, + "loss": 0.6742, + "step": 34740 + }, + { + "epoch": 4.02, + "learning_rate": 3.9380633233186975e-06, + "loss": 0.7062, + "step": 34750 + }, + { + "epoch": 4.02, + "learning_rate": 3.933441183267853e-06, + "loss": 0.8461, + "step": 34760 + }, + { + "epoch": 4.02, + "learning_rate": 3.92881904321701e-06, + "loss": 0.8971, + "step": 34770 + }, + { + "epoch": 4.02, + "learning_rate": 3.924196903166167e-06, + "loss": 0.8831, + "step": 34780 + }, + { + "epoch": 4.02, + "learning_rate": 3.9195747631153224e-06, + "loss": 0.9111, + "step": 34790 + }, + { + "epoch": 4.02, + "learning_rate": 3.914952623064479e-06, + "loss": 0.9948, + "step": 34800 + }, + { + "epoch": 4.02, + "learning_rate": 3.910330483013636e-06, + "loss": 0.9234, + "step": 34810 + }, + { + "epoch": 4.02, + "learning_rate": 3.905708342962792e-06, + "loss": 0.853, + "step": 34820 + }, + { + "epoch": 4.02, + "learning_rate": 3.901086202911948e-06, + "loss": 1.0511, + "step": 34830 + }, + { + "epoch": 4.03, + "learning_rate": 3.896464062861105e-06, + "loss": 0.901, + "step": 34840 + }, + { + "epoch": 4.03, + "learning_rate": 3.8918419228102615e-06, + "loss": 1.006, + "step": 34850 + }, + { + "epoch": 4.03, + "learning_rate": 3.887219782759417e-06, + "loss": 0.7138, + "step": 34860 + }, + { + "epoch": 4.03, + "learning_rate": 3.882597642708574e-06, + "loss": 1.0092, + "step": 34870 + }, + { + "epoch": 4.03, + "learning_rate": 3.877975502657731e-06, + "loss": 0.8362, + "step": 34880 + }, + { + "epoch": 4.03, + "learning_rate": 3.873353362606887e-06, + "loss": 1.0254, + "step": 34890 + }, + { + "epoch": 4.03, + "learning_rate": 3.868731222556044e-06, + "loss": 0.8378, + "step": 34900 + }, + { + "epoch": 4.03, + "learning_rate": 3.864109082505201e-06, + "loss": 1.035, + "step": 34910 + }, + { + "epoch": 4.04, + "learning_rate": 3.8594869424543564e-06, + "loss": 0.8403, + "step": 34920 + }, + { + "epoch": 4.04, + "learning_rate": 3.854864802403513e-06, + "loss": 0.5308, + "step": 34930 + }, + { + "epoch": 4.04, + "learning_rate": 3.85024266235267e-06, + "loss": 0.7483, + "step": 34940 + }, + { + "epoch": 4.04, + "learning_rate": 3.845620522301826e-06, + "loss": 0.8705, + "step": 34950 + }, + { + "epoch": 4.04, + "learning_rate": 3.840998382250983e-06, + "loss": 0.7976, + "step": 34960 + }, + { + "epoch": 4.04, + "learning_rate": 3.836376242200139e-06, + "loss": 0.8729, + "step": 34970 + }, + { + "epoch": 4.04, + "learning_rate": 3.8317541021492955e-06, + "loss": 0.528, + "step": 34980 + }, + { + "epoch": 4.04, + "learning_rate": 3.827131962098452e-06, + "loss": 0.817, + "step": 34990 + }, + { + "epoch": 4.04, + "learning_rate": 3.822509822047608e-06, + "loss": 0.8395, + "step": 35000 + }, + { + "epoch": 4.05, + "learning_rate": 3.817887681996765e-06, + "loss": 0.6564, + "step": 35010 + }, + { + "epoch": 4.05, + "learning_rate": 3.8132655419459213e-06, + "loss": 0.8115, + "step": 35020 + }, + { + "epoch": 4.05, + "learning_rate": 3.808643401895078e-06, + "loss": 0.7753, + "step": 35030 + }, + { + "epoch": 4.05, + "learning_rate": 3.804021261844234e-06, + "loss": 0.9006, + "step": 35040 + }, + { + "epoch": 4.05, + "learning_rate": 3.799399121793391e-06, + "loss": 0.8409, + "step": 35050 + }, + { + "epoch": 4.05, + "learning_rate": 3.794776981742547e-06, + "loss": 0.8017, + "step": 35060 + }, + { + "epoch": 4.05, + "learning_rate": 3.7901548416917033e-06, + "loss": 0.756, + "step": 35070 + }, + { + "epoch": 4.05, + "learning_rate": 3.78553270164086e-06, + "loss": 0.7219, + "step": 35080 + }, + { + "epoch": 4.05, + "learning_rate": 3.7809105615900166e-06, + "loss": 0.8108, + "step": 35090 + }, + { + "epoch": 4.06, + "learning_rate": 3.7762884215391733e-06, + "loss": 0.8035, + "step": 35100 + }, + { + "epoch": 4.06, + "learning_rate": 3.771666281488329e-06, + "loss": 0.8371, + "step": 35110 + }, + { + "epoch": 4.06, + "learning_rate": 3.7670441414374858e-06, + "loss": 0.8685, + "step": 35120 + }, + { + "epoch": 4.06, + "learning_rate": 3.7624220013866424e-06, + "loss": 0.9147, + "step": 35130 + }, + { + "epoch": 4.06, + "learning_rate": 3.7577998613357987e-06, + "loss": 0.7649, + "step": 35140 + }, + { + "epoch": 4.06, + "learning_rate": 3.7531777212849553e-06, + "loss": 0.9778, + "step": 35150 + }, + { + "epoch": 4.06, + "learning_rate": 3.748555581234112e-06, + "loss": 0.8469, + "step": 35160 + }, + { + "epoch": 4.06, + "learning_rate": 3.743933441183268e-06, + "loss": 0.8757, + "step": 35170 + }, + { + "epoch": 4.07, + "learning_rate": 3.7393113011324244e-06, + "loss": 0.9069, + "step": 35180 + }, + { + "epoch": 4.07, + "learning_rate": 3.734689161081581e-06, + "loss": 1.0769, + "step": 35190 + }, + { + "epoch": 4.07, + "learning_rate": 3.7300670210307378e-06, + "loss": 0.6899, + "step": 35200 + }, + { + "epoch": 4.07, + "learning_rate": 3.7254448809798936e-06, + "loss": 0.972, + "step": 35210 + }, + { + "epoch": 4.07, + "learning_rate": 3.7208227409290502e-06, + "loss": 0.9369, + "step": 35220 + }, + { + "epoch": 4.07, + "learning_rate": 3.716200600878207e-06, + "loss": 0.7243, + "step": 35230 + }, + { + "epoch": 4.07, + "learning_rate": 3.7115784608273635e-06, + "loss": 0.7076, + "step": 35240 + }, + { + "epoch": 4.07, + "learning_rate": 3.7069563207765198e-06, + "loss": 0.6653, + "step": 35250 + }, + { + "epoch": 4.07, + "learning_rate": 3.7023341807256764e-06, + "loss": 0.6735, + "step": 35260 + }, + { + "epoch": 4.08, + "learning_rate": 3.697712040674833e-06, + "loss": 0.6894, + "step": 35270 + }, + { + "epoch": 4.08, + "learning_rate": 3.693089900623989e-06, + "loss": 0.9681, + "step": 35280 + }, + { + "epoch": 4.08, + "learning_rate": 3.6884677605731456e-06, + "loss": 0.7619, + "step": 35290 + }, + { + "epoch": 4.08, + "learning_rate": 3.683845620522302e-06, + "loss": 0.8986, + "step": 35300 + }, + { + "epoch": 4.08, + "learning_rate": 3.679223480471459e-06, + "loss": 0.8525, + "step": 35310 + }, + { + "epoch": 4.08, + "learning_rate": 3.674601340420615e-06, + "loss": 0.7147, + "step": 35320 + }, + { + "epoch": 4.08, + "learning_rate": 3.6699792003697713e-06, + "loss": 0.8369, + "step": 35330 + }, + { + "epoch": 4.08, + "learning_rate": 3.665357060318928e-06, + "loss": 0.7731, + "step": 35340 + }, + { + "epoch": 4.08, + "learning_rate": 3.6607349202680842e-06, + "loss": 0.7981, + "step": 35350 + }, + { + "epoch": 4.09, + "learning_rate": 3.656112780217241e-06, + "loss": 0.8217, + "step": 35360 + }, + { + "epoch": 4.09, + "learning_rate": 3.6514906401663975e-06, + "loss": 0.7144, + "step": 35370 + }, + { + "epoch": 4.09, + "learning_rate": 3.646868500115554e-06, + "loss": 0.5527, + "step": 35380 + }, + { + "epoch": 4.09, + "learning_rate": 3.64224636006471e-06, + "loss": 0.5499, + "step": 35390 + }, + { + "epoch": 4.09, + "learning_rate": 3.6376242200138667e-06, + "loss": 0.7583, + "step": 35400 + }, + { + "epoch": 4.09, + "learning_rate": 3.6330020799630233e-06, + "loss": 0.9539, + "step": 35410 + }, + { + "epoch": 4.09, + "learning_rate": 3.6283799399121796e-06, + "loss": 0.9497, + "step": 35420 + }, + { + "epoch": 4.09, + "learning_rate": 3.623757799861336e-06, + "loss": 0.8312, + "step": 35430 + }, + { + "epoch": 4.1, + "learning_rate": 3.6191356598104924e-06, + "loss": 0.7448, + "step": 35440 + }, + { + "epoch": 4.1, + "learning_rate": 3.614513519759649e-06, + "loss": 0.6801, + "step": 35450 + }, + { + "epoch": 4.1, + "learning_rate": 3.6098913797088053e-06, + "loss": 0.9351, + "step": 35460 + }, + { + "epoch": 4.1, + "learning_rate": 3.605269239657962e-06, + "loss": 0.725, + "step": 35470 + }, + { + "epoch": 4.1, + "learning_rate": 3.6006470996071187e-06, + "loss": 0.7147, + "step": 35480 + }, + { + "epoch": 4.1, + "learning_rate": 3.5960249595562745e-06, + "loss": 0.7567, + "step": 35490 + }, + { + "epoch": 4.1, + "learning_rate": 3.591402819505431e-06, + "loss": 0.7854, + "step": 35500 + }, + { + "epoch": 4.1, + "learning_rate": 3.5867806794545878e-06, + "loss": 0.7827, + "step": 35510 + }, + { + "epoch": 4.1, + "learning_rate": 3.5821585394037444e-06, + "loss": 0.7397, + "step": 35520 + }, + { + "epoch": 4.11, + "learning_rate": 3.5775363993529007e-06, + "loss": 0.8328, + "step": 35530 + }, + { + "epoch": 4.11, + "learning_rate": 3.5729142593020573e-06, + "loss": 0.9609, + "step": 35540 + }, + { + "epoch": 4.11, + "learning_rate": 3.568292119251214e-06, + "loss": 0.703, + "step": 35550 + }, + { + "epoch": 4.11, + "learning_rate": 3.56366997920037e-06, + "loss": 0.7651, + "step": 35560 + }, + { + "epoch": 4.11, + "learning_rate": 3.5590478391495264e-06, + "loss": 0.7464, + "step": 35570 + }, + { + "epoch": 4.11, + "learning_rate": 3.554425699098683e-06, + "loss": 0.8806, + "step": 35580 + }, + { + "epoch": 4.11, + "learning_rate": 3.5498035590478398e-06, + "loss": 0.7511, + "step": 35590 + }, + { + "epoch": 4.11, + "learning_rate": 3.5451814189969956e-06, + "loss": 0.8027, + "step": 35600 + }, + { + "epoch": 4.11, + "learning_rate": 3.5405592789461522e-06, + "loss": 1.0548, + "step": 35610 + }, + { + "epoch": 4.12, + "learning_rate": 3.535937138895309e-06, + "loss": 0.7947, + "step": 35620 + }, + { + "epoch": 4.12, + "learning_rate": 3.531314998844465e-06, + "loss": 0.8239, + "step": 35630 + }, + { + "epoch": 4.12, + "learning_rate": 3.5266928587936218e-06, + "loss": 0.7181, + "step": 35640 + }, + { + "epoch": 4.12, + "learning_rate": 3.5220707187427784e-06, + "loss": 0.8644, + "step": 35650 + }, + { + "epoch": 4.12, + "learning_rate": 3.517448578691935e-06, + "loss": 0.8889, + "step": 35660 + }, + { + "epoch": 4.12, + "learning_rate": 3.512826438641091e-06, + "loss": 0.8374, + "step": 35670 + }, + { + "epoch": 4.12, + "learning_rate": 3.5082042985902476e-06, + "loss": 1.1417, + "step": 35680 + }, + { + "epoch": 4.12, + "learning_rate": 3.5035821585394042e-06, + "loss": 0.8656, + "step": 35690 + }, + { + "epoch": 4.13, + "learning_rate": 3.4989600184885604e-06, + "loss": 0.7859, + "step": 35700 + }, + { + "epoch": 4.13, + "learning_rate": 3.4943378784377167e-06, + "loss": 0.8274, + "step": 35710 + }, + { + "epoch": 4.13, + "learning_rate": 3.4897157383868733e-06, + "loss": 0.9646, + "step": 35720 + }, + { + "epoch": 4.13, + "learning_rate": 3.48509359833603e-06, + "loss": 0.7969, + "step": 35730 + }, + { + "epoch": 4.13, + "learning_rate": 3.4804714582851862e-06, + "loss": 0.8105, + "step": 35740 + }, + { + "epoch": 4.13, + "learning_rate": 3.475849318234343e-06, + "loss": 0.6962, + "step": 35750 + }, + { + "epoch": 4.13, + "learning_rate": 3.4712271781834995e-06, + "loss": 1.0439, + "step": 35760 + }, + { + "epoch": 4.13, + "learning_rate": 3.4666050381326554e-06, + "loss": 0.9131, + "step": 35770 + }, + { + "epoch": 4.13, + "learning_rate": 3.461982898081812e-06, + "loss": 0.9365, + "step": 35780 + }, + { + "epoch": 4.14, + "learning_rate": 3.4573607580309687e-06, + "loss": 0.7393, + "step": 35790 + }, + { + "epoch": 4.14, + "learning_rate": 3.4527386179801253e-06, + "loss": 0.7054, + "step": 35800 + }, + { + "epoch": 4.14, + "learning_rate": 3.4481164779292816e-06, + "loss": 0.7896, + "step": 35810 + }, + { + "epoch": 4.14, + "learning_rate": 3.4434943378784382e-06, + "loss": 0.9841, + "step": 35820 + }, + { + "epoch": 4.14, + "learning_rate": 3.4388721978275945e-06, + "loss": 0.7137, + "step": 35830 + }, + { + "epoch": 4.14, + "learning_rate": 3.4342500577767507e-06, + "loss": 0.723, + "step": 35840 + }, + { + "epoch": 4.14, + "learning_rate": 3.4296279177259073e-06, + "loss": 0.8539, + "step": 35850 + }, + { + "epoch": 4.14, + "learning_rate": 3.425005777675064e-06, + "loss": 0.94, + "step": 35860 + }, + { + "epoch": 4.14, + "learning_rate": 3.4203836376242207e-06, + "loss": 1.2955, + "step": 35870 + }, + { + "epoch": 4.15, + "learning_rate": 3.4157614975733765e-06, + "loss": 0.9427, + "step": 35880 + }, + { + "epoch": 4.15, + "learning_rate": 3.411139357522533e-06, + "loss": 0.6974, + "step": 35890 + }, + { + "epoch": 4.15, + "learning_rate": 3.4065172174716898e-06, + "loss": 0.7849, + "step": 35900 + }, + { + "epoch": 4.15, + "learning_rate": 3.401895077420846e-06, + "loss": 0.741, + "step": 35910 + }, + { + "epoch": 4.15, + "learning_rate": 3.3972729373700027e-06, + "loss": 0.8569, + "step": 35920 + }, + { + "epoch": 4.15, + "learning_rate": 3.3926507973191593e-06, + "loss": 0.9231, + "step": 35930 + }, + { + "epoch": 4.15, + "learning_rate": 3.3880286572683156e-06, + "loss": 0.7245, + "step": 35940 + }, + { + "epoch": 4.15, + "learning_rate": 3.383406517217472e-06, + "loss": 0.8532, + "step": 35950 + }, + { + "epoch": 4.16, + "learning_rate": 3.3787843771666285e-06, + "loss": 0.665, + "step": 35960 + }, + { + "epoch": 4.16, + "learning_rate": 3.374162237115785e-06, + "loss": 0.7541, + "step": 35970 + }, + { + "epoch": 4.16, + "learning_rate": 3.369540097064941e-06, + "loss": 0.7781, + "step": 35980 + }, + { + "epoch": 4.16, + "learning_rate": 3.3649179570140976e-06, + "loss": 0.7973, + "step": 35990 + }, + { + "epoch": 4.16, + "learning_rate": 3.3602958169632542e-06, + "loss": 0.7882, + "step": 36000 + }, + { + "epoch": 4.16, + "learning_rate": 3.355673676912411e-06, + "loss": 0.9376, + "step": 36010 + }, + { + "epoch": 4.16, + "learning_rate": 3.351051536861567e-06, + "loss": 0.6816, + "step": 36020 + }, + { + "epoch": 4.16, + "learning_rate": 3.3464293968107238e-06, + "loss": 0.6851, + "step": 36030 + }, + { + "epoch": 4.16, + "learning_rate": 3.3418072567598804e-06, + "loss": 0.8546, + "step": 36040 + }, + { + "epoch": 4.17, + "learning_rate": 3.3371851167090363e-06, + "loss": 0.8972, + "step": 36050 + }, + { + "epoch": 4.17, + "learning_rate": 3.332562976658193e-06, + "loss": 0.691, + "step": 36060 + }, + { + "epoch": 4.17, + "learning_rate": 3.3279408366073496e-06, + "loss": 0.6403, + "step": 36070 + }, + { + "epoch": 4.17, + "learning_rate": 3.3233186965565062e-06, + "loss": 0.9738, + "step": 36080 + }, + { + "epoch": 4.17, + "learning_rate": 3.3186965565056625e-06, + "loss": 0.7173, + "step": 36090 + }, + { + "epoch": 4.17, + "learning_rate": 3.3140744164548187e-06, + "loss": 0.8744, + "step": 36100 + }, + { + "epoch": 4.17, + "learning_rate": 3.3094522764039753e-06, + "loss": 0.7739, + "step": 36110 + }, + { + "epoch": 4.17, + "learning_rate": 3.3048301363531316e-06, + "loss": 0.6332, + "step": 36120 + }, + { + "epoch": 4.17, + "learning_rate": 3.3002079963022882e-06, + "loss": 0.895, + "step": 36130 + }, + { + "epoch": 4.18, + "learning_rate": 3.295585856251445e-06, + "loss": 0.7222, + "step": 36140 + }, + { + "epoch": 4.18, + "learning_rate": 3.2909637162006016e-06, + "loss": 0.8747, + "step": 36150 + }, + { + "epoch": 4.18, + "learning_rate": 3.2863415761497574e-06, + "loss": 0.8193, + "step": 36160 + }, + { + "epoch": 4.18, + "learning_rate": 3.281719436098914e-06, + "loss": 0.9051, + "step": 36170 + }, + { + "epoch": 4.18, + "learning_rate": 3.2770972960480707e-06, + "loss": 0.755, + "step": 36180 + }, + { + "epoch": 4.18, + "learning_rate": 3.272475155997227e-06, + "loss": 0.7635, + "step": 36190 + }, + { + "epoch": 4.18, + "learning_rate": 3.2678530159463836e-06, + "loss": 0.6589, + "step": 36200 + }, + { + "epoch": 4.18, + "learning_rate": 3.26323087589554e-06, + "loss": 0.6896, + "step": 36210 + }, + { + "epoch": 4.19, + "learning_rate": 3.2586087358446965e-06, + "loss": 0.8495, + "step": 36220 + }, + { + "epoch": 4.19, + "learning_rate": 3.2539865957938527e-06, + "loss": 0.9678, + "step": 36230 + }, + { + "epoch": 4.19, + "learning_rate": 3.2493644557430093e-06, + "loss": 0.8095, + "step": 36240 + }, + { + "epoch": 4.19, + "learning_rate": 3.244742315692166e-06, + "loss": 0.756, + "step": 36250 + }, + { + "epoch": 4.19, + "learning_rate": 3.240120175641322e-06, + "loss": 0.6845, + "step": 36260 + }, + { + "epoch": 4.19, + "learning_rate": 3.2354980355904785e-06, + "loss": 0.8443, + "step": 36270 + }, + { + "epoch": 4.19, + "learning_rate": 3.230875895539635e-06, + "loss": 0.7264, + "step": 36280 + }, + { + "epoch": 4.19, + "learning_rate": 3.2262537554887918e-06, + "loss": 1.0056, + "step": 36290 + }, + { + "epoch": 4.19, + "learning_rate": 3.221631615437948e-06, + "loss": 0.5267, + "step": 36300 + }, + { + "epoch": 4.2, + "learning_rate": 3.2170094753871047e-06, + "loss": 0.9955, + "step": 36310 + }, + { + "epoch": 4.2, + "learning_rate": 3.2123873353362613e-06, + "loss": 0.7008, + "step": 36320 + }, + { + "epoch": 4.2, + "learning_rate": 3.207765195285417e-06, + "loss": 0.8374, + "step": 36330 + }, + { + "epoch": 4.2, + "learning_rate": 3.203143055234574e-06, + "loss": 0.696, + "step": 36340 + }, + { + "epoch": 4.2, + "learning_rate": 3.1985209151837305e-06, + "loss": 0.8003, + "step": 36350 + }, + { + "epoch": 4.2, + "learning_rate": 3.193898775132887e-06, + "loss": 0.6519, + "step": 36360 + }, + { + "epoch": 4.2, + "learning_rate": 3.189276635082043e-06, + "loss": 0.8804, + "step": 36370 + }, + { + "epoch": 4.2, + "learning_rate": 3.1846544950311996e-06, + "loss": 0.9999, + "step": 36380 + }, + { + "epoch": 4.2, + "learning_rate": 3.1800323549803562e-06, + "loss": 0.5891, + "step": 36390 + }, + { + "epoch": 4.21, + "learning_rate": 3.1754102149295125e-06, + "loss": 0.7401, + "step": 36400 + }, + { + "epoch": 4.21, + "learning_rate": 3.170788074878669e-06, + "loss": 0.9722, + "step": 36410 + }, + { + "epoch": 4.21, + "learning_rate": 3.166165934827826e-06, + "loss": 0.7862, + "step": 36420 + }, + { + "epoch": 4.21, + "learning_rate": 3.1615437947769824e-06, + "loss": 0.8041, + "step": 36430 + }, + { + "epoch": 4.21, + "learning_rate": 3.1569216547261383e-06, + "loss": 0.9561, + "step": 36440 + }, + { + "epoch": 4.21, + "learning_rate": 3.152299514675295e-06, + "loss": 1.0503, + "step": 36450 + }, + { + "epoch": 4.21, + "learning_rate": 3.1476773746244516e-06, + "loss": 0.8244, + "step": 36460 + }, + { + "epoch": 4.21, + "learning_rate": 3.143055234573608e-06, + "loss": 0.9081, + "step": 36470 + }, + { + "epoch": 4.22, + "learning_rate": 3.138433094522764e-06, + "loss": 0.9342, + "step": 36480 + }, + { + "epoch": 4.22, + "learning_rate": 3.1338109544719207e-06, + "loss": 0.7321, + "step": 36490 + }, + { + "epoch": 4.22, + "learning_rate": 3.1291888144210774e-06, + "loss": 0.8728, + "step": 36500 + }, + { + "epoch": 4.22, + "learning_rate": 3.1245666743702336e-06, + "loss": 0.8298, + "step": 36510 + }, + { + "epoch": 4.22, + "learning_rate": 3.1199445343193902e-06, + "loss": 0.7774, + "step": 36520 + }, + { + "epoch": 4.22, + "learning_rate": 3.115322394268547e-06, + "loss": 0.8077, + "step": 36530 + }, + { + "epoch": 4.22, + "learning_rate": 3.1107002542177027e-06, + "loss": 0.7509, + "step": 36540 + }, + { + "epoch": 4.22, + "learning_rate": 3.1060781141668594e-06, + "loss": 0.8812, + "step": 36550 + }, + { + "epoch": 4.22, + "learning_rate": 3.101455974116016e-06, + "loss": 0.8235, + "step": 36560 + }, + { + "epoch": 4.23, + "learning_rate": 3.0968338340651727e-06, + "loss": 0.7962, + "step": 36570 + }, + { + "epoch": 4.23, + "learning_rate": 3.092211694014329e-06, + "loss": 0.7675, + "step": 36580 + }, + { + "epoch": 4.23, + "learning_rate": 3.0875895539634856e-06, + "loss": 0.7777, + "step": 36590 + }, + { + "epoch": 4.23, + "learning_rate": 3.082967413912642e-06, + "loss": 0.7933, + "step": 36600 + }, + { + "epoch": 4.23, + "learning_rate": 3.078345273861798e-06, + "loss": 0.9538, + "step": 36610 + }, + { + "epoch": 4.23, + "learning_rate": 3.0737231338109547e-06, + "loss": 0.9384, + "step": 36620 + }, + { + "epoch": 4.23, + "learning_rate": 3.0691009937601114e-06, + "loss": 0.7537, + "step": 36630 + }, + { + "epoch": 4.23, + "learning_rate": 3.064478853709268e-06, + "loss": 0.7733, + "step": 36640 + }, + { + "epoch": 4.24, + "learning_rate": 3.059856713658424e-06, + "loss": 0.8655, + "step": 36650 + }, + { + "epoch": 4.24, + "learning_rate": 3.0552345736075805e-06, + "loss": 0.5404, + "step": 36660 + }, + { + "epoch": 4.24, + "learning_rate": 3.050612433556737e-06, + "loss": 0.7121, + "step": 36670 + }, + { + "epoch": 4.24, + "learning_rate": 3.0459902935058934e-06, + "loss": 0.749, + "step": 36680 + }, + { + "epoch": 4.24, + "learning_rate": 3.04136815345505e-06, + "loss": 0.8609, + "step": 36690 + }, + { + "epoch": 4.24, + "learning_rate": 3.0367460134042067e-06, + "loss": 1.0, + "step": 36700 + }, + { + "epoch": 4.24, + "learning_rate": 3.032123873353363e-06, + "loss": 0.7724, + "step": 36710 + }, + { + "epoch": 4.24, + "learning_rate": 3.027501733302519e-06, + "loss": 0.5046, + "step": 36720 + }, + { + "epoch": 4.24, + "learning_rate": 3.022879593251676e-06, + "loss": 0.8254, + "step": 36730 + }, + { + "epoch": 4.25, + "learning_rate": 3.0182574532008325e-06, + "loss": 0.8006, + "step": 36740 + }, + { + "epoch": 4.25, + "learning_rate": 3.0136353131499883e-06, + "loss": 0.8566, + "step": 36750 + }, + { + "epoch": 4.25, + "learning_rate": 3.009013173099145e-06, + "loss": 0.8376, + "step": 36760 + }, + { + "epoch": 4.25, + "learning_rate": 3.0043910330483016e-06, + "loss": 0.8486, + "step": 36770 + }, + { + "epoch": 4.25, + "learning_rate": 2.9997688929974582e-06, + "loss": 0.8148, + "step": 36780 + }, + { + "epoch": 4.25, + "learning_rate": 2.9951467529466145e-06, + "loss": 0.7262, + "step": 36790 + }, + { + "epoch": 4.25, + "learning_rate": 2.990524612895771e-06, + "loss": 0.6713, + "step": 36800 + }, + { + "epoch": 4.25, + "learning_rate": 2.985902472844928e-06, + "loss": 0.9347, + "step": 36810 + }, + { + "epoch": 4.25, + "learning_rate": 2.9812803327940836e-06, + "loss": 0.695, + "step": 36820 + }, + { + "epoch": 4.26, + "learning_rate": 2.9766581927432403e-06, + "loss": 0.8646, + "step": 36830 + }, + { + "epoch": 4.26, + "learning_rate": 2.972036052692397e-06, + "loss": 0.7767, + "step": 36840 + }, + { + "epoch": 4.26, + "learning_rate": 2.9674139126415536e-06, + "loss": 1.033, + "step": 36850 + }, + { + "epoch": 4.26, + "learning_rate": 2.96279177259071e-06, + "loss": 0.8918, + "step": 36860 + }, + { + "epoch": 4.26, + "learning_rate": 2.958169632539866e-06, + "loss": 0.6394, + "step": 36870 + }, + { + "epoch": 4.26, + "learning_rate": 2.9535474924890227e-06, + "loss": 0.7291, + "step": 36880 + }, + { + "epoch": 4.26, + "learning_rate": 2.948925352438179e-06, + "loss": 1.011, + "step": 36890 + }, + { + "epoch": 4.26, + "learning_rate": 2.9443032123873356e-06, + "loss": 0.879, + "step": 36900 + }, + { + "epoch": 4.27, + "learning_rate": 2.9396810723364922e-06, + "loss": 0.8506, + "step": 36910 + }, + { + "epoch": 4.27, + "learning_rate": 2.935058932285649e-06, + "loss": 0.8317, + "step": 36920 + }, + { + "epoch": 4.27, + "learning_rate": 2.9304367922348047e-06, + "loss": 0.8928, + "step": 36930 + }, + { + "epoch": 4.27, + "learning_rate": 2.9258146521839614e-06, + "loss": 0.822, + "step": 36940 + }, + { + "epoch": 4.27, + "learning_rate": 2.921192512133118e-06, + "loss": 0.7867, + "step": 36950 + }, + { + "epoch": 4.27, + "learning_rate": 2.9165703720822743e-06, + "loss": 0.7249, + "step": 36960 + }, + { + "epoch": 4.27, + "learning_rate": 2.911948232031431e-06, + "loss": 0.9639, + "step": 36970 + }, + { + "epoch": 4.27, + "learning_rate": 2.907326091980587e-06, + "loss": 0.6177, + "step": 36980 + }, + { + "epoch": 4.27, + "learning_rate": 2.902703951929744e-06, + "loss": 1.04, + "step": 36990 + }, + { + "epoch": 4.28, + "learning_rate": 2.8980818118789e-06, + "loss": 0.8999, + "step": 37000 + }, + { + "epoch": 4.28, + "learning_rate": 2.8934596718280567e-06, + "loss": 0.7201, + "step": 37010 + }, + { + "epoch": 4.28, + "learning_rate": 2.8888375317772134e-06, + "loss": 0.8562, + "step": 37020 + }, + { + "epoch": 4.28, + "learning_rate": 2.884215391726369e-06, + "loss": 0.7591, + "step": 37030 + }, + { + "epoch": 4.28, + "learning_rate": 2.879593251675526e-06, + "loss": 0.6808, + "step": 37040 + }, + { + "epoch": 4.28, + "learning_rate": 2.8749711116246825e-06, + "loss": 0.7226, + "step": 37050 + }, + { + "epoch": 4.28, + "learning_rate": 2.870348971573839e-06, + "loss": 0.7607, + "step": 37060 + }, + { + "epoch": 4.28, + "learning_rate": 2.8657268315229954e-06, + "loss": 0.6859, + "step": 37070 + }, + { + "epoch": 4.28, + "learning_rate": 2.861104691472152e-06, + "loss": 0.807, + "step": 37080 + }, + { + "epoch": 4.29, + "learning_rate": 2.8564825514213087e-06, + "loss": 0.541, + "step": 37090 + }, + { + "epoch": 4.29, + "learning_rate": 2.8518604113704645e-06, + "loss": 0.9842, + "step": 37100 + }, + { + "epoch": 4.29, + "learning_rate": 2.847238271319621e-06, + "loss": 0.6039, + "step": 37110 + }, + { + "epoch": 4.29, + "learning_rate": 2.842616131268778e-06, + "loss": 0.8673, + "step": 37120 + }, + { + "epoch": 4.29, + "learning_rate": 2.8379939912179345e-06, + "loss": 0.7599, + "step": 37130 + }, + { + "epoch": 4.29, + "learning_rate": 2.8333718511670903e-06, + "loss": 0.6206, + "step": 37140 + }, + { + "epoch": 4.29, + "learning_rate": 2.828749711116247e-06, + "loss": 0.7236, + "step": 37150 + }, + { + "epoch": 4.29, + "learning_rate": 2.8241275710654036e-06, + "loss": 0.6601, + "step": 37160 + }, + { + "epoch": 4.3, + "learning_rate": 2.81950543101456e-06, + "loss": 0.7511, + "step": 37170 + }, + { + "epoch": 4.3, + "learning_rate": 2.8148832909637165e-06, + "loss": 0.7755, + "step": 37180 + }, + { + "epoch": 4.3, + "learning_rate": 2.810261150912873e-06, + "loss": 0.6762, + "step": 37190 + }, + { + "epoch": 4.3, + "learning_rate": 2.80563901086203e-06, + "loss": 0.8101, + "step": 37200 + }, + { + "epoch": 4.3, + "learning_rate": 2.8010168708111856e-06, + "loss": 0.9237, + "step": 37210 + }, + { + "epoch": 4.3, + "learning_rate": 2.7963947307603423e-06, + "loss": 0.9949, + "step": 37220 + }, + { + "epoch": 4.3, + "learning_rate": 2.791772590709499e-06, + "loss": 0.8406, + "step": 37230 + }, + { + "epoch": 4.3, + "learning_rate": 2.787150450658655e-06, + "loss": 0.7871, + "step": 37240 + }, + { + "epoch": 4.3, + "learning_rate": 2.7825283106078114e-06, + "loss": 0.8524, + "step": 37250 + }, + { + "epoch": 4.31, + "learning_rate": 2.777906170556968e-06, + "loss": 0.9479, + "step": 37260 + }, + { + "epoch": 4.31, + "learning_rate": 2.7732840305061247e-06, + "loss": 0.6727, + "step": 37270 + }, + { + "epoch": 4.31, + "learning_rate": 2.768661890455281e-06, + "loss": 0.7475, + "step": 37280 + }, + { + "epoch": 4.31, + "learning_rate": 2.7640397504044376e-06, + "loss": 0.8576, + "step": 37290 + }, + { + "epoch": 4.31, + "learning_rate": 2.7594176103535943e-06, + "loss": 0.7843, + "step": 37300 + }, + { + "epoch": 4.31, + "learning_rate": 2.75479547030275e-06, + "loss": 0.7232, + "step": 37310 + }, + { + "epoch": 4.31, + "learning_rate": 2.7501733302519067e-06, + "loss": 0.7849, + "step": 37320 + }, + { + "epoch": 4.31, + "learning_rate": 2.7455511902010634e-06, + "loss": 0.8123, + "step": 37330 + }, + { + "epoch": 4.31, + "learning_rate": 2.74092905015022e-06, + "loss": 0.8127, + "step": 37340 + }, + { + "epoch": 4.32, + "learning_rate": 2.7363069100993763e-06, + "loss": 0.8041, + "step": 37350 + }, + { + "epoch": 4.32, + "learning_rate": 2.731684770048533e-06, + "loss": 0.8431, + "step": 37360 + }, + { + "epoch": 4.32, + "learning_rate": 2.727062629997689e-06, + "loss": 0.804, + "step": 37370 + }, + { + "epoch": 4.32, + "learning_rate": 2.7224404899468454e-06, + "loss": 0.7621, + "step": 37380 + }, + { + "epoch": 4.32, + "learning_rate": 2.717818349896002e-06, + "loss": 0.7351, + "step": 37390 + }, + { + "epoch": 4.32, + "learning_rate": 2.7131962098451587e-06, + "loss": 0.7024, + "step": 37400 + }, + { + "epoch": 4.32, + "learning_rate": 2.7085740697943154e-06, + "loss": 0.5587, + "step": 37410 + }, + { + "epoch": 4.32, + "learning_rate": 2.703951929743471e-06, + "loss": 0.9377, + "step": 37420 + }, + { + "epoch": 4.33, + "learning_rate": 2.699329789692628e-06, + "loss": 1.1282, + "step": 37430 + }, + { + "epoch": 4.33, + "learning_rate": 2.6947076496417845e-06, + "loss": 0.8122, + "step": 37440 + }, + { + "epoch": 4.33, + "learning_rate": 2.6900855095909407e-06, + "loss": 1.0603, + "step": 37450 + }, + { + "epoch": 4.33, + "learning_rate": 2.6854633695400974e-06, + "loss": 0.7829, + "step": 37460 + }, + { + "epoch": 4.33, + "learning_rate": 2.680841229489254e-06, + "loss": 0.9305, + "step": 37470 + }, + { + "epoch": 4.33, + "learning_rate": 2.6762190894384103e-06, + "loss": 0.9139, + "step": 37480 + }, + { + "epoch": 4.33, + "learning_rate": 2.6715969493875665e-06, + "loss": 0.6857, + "step": 37490 + }, + { + "epoch": 4.33, + "learning_rate": 2.666974809336723e-06, + "loss": 0.7759, + "step": 37500 + }, + { + "epoch": 4.33, + "learning_rate": 2.66235266928588e-06, + "loss": 0.8132, + "step": 37510 + }, + { + "epoch": 4.34, + "learning_rate": 2.6577305292350356e-06, + "loss": 0.856, + "step": 37520 + }, + { + "epoch": 4.34, + "learning_rate": 2.6531083891841923e-06, + "loss": 0.5726, + "step": 37530 + }, + { + "epoch": 4.34, + "learning_rate": 2.648486249133349e-06, + "loss": 0.7664, + "step": 37540 + }, + { + "epoch": 4.34, + "learning_rate": 2.6438641090825056e-06, + "loss": 0.9584, + "step": 37550 + }, + { + "epoch": 4.34, + "learning_rate": 2.639241969031662e-06, + "loss": 0.6453, + "step": 37560 + }, + { + "epoch": 4.34, + "learning_rate": 2.6346198289808185e-06, + "loss": 1.0094, + "step": 37570 + }, + { + "epoch": 4.34, + "learning_rate": 2.629997688929975e-06, + "loss": 0.6951, + "step": 37580 + }, + { + "epoch": 4.34, + "learning_rate": 2.625375548879131e-06, + "loss": 0.731, + "step": 37590 + }, + { + "epoch": 4.34, + "learning_rate": 2.6207534088282876e-06, + "loss": 0.779, + "step": 37600 + }, + { + "epoch": 4.35, + "learning_rate": 2.6161312687774443e-06, + "loss": 0.8964, + "step": 37610 + }, + { + "epoch": 4.35, + "learning_rate": 2.611509128726601e-06, + "loss": 0.8582, + "step": 37620 + }, + { + "epoch": 4.35, + "learning_rate": 2.606886988675757e-06, + "loss": 0.6743, + "step": 37630 + }, + { + "epoch": 4.35, + "learning_rate": 2.6022648486249134e-06, + "loss": 0.704, + "step": 37640 + }, + { + "epoch": 4.35, + "learning_rate": 2.59764270857407e-06, + "loss": 0.8917, + "step": 37650 + }, + { + "epoch": 4.35, + "learning_rate": 2.5930205685232263e-06, + "loss": 0.8824, + "step": 37660 + }, + { + "epoch": 4.35, + "learning_rate": 2.588398428472383e-06, + "loss": 0.7287, + "step": 37670 + }, + { + "epoch": 4.35, + "learning_rate": 2.5837762884215396e-06, + "loss": 0.5654, + "step": 37680 + }, + { + "epoch": 4.36, + "learning_rate": 2.5791541483706963e-06, + "loss": 0.9316, + "step": 37690 + }, + { + "epoch": 4.36, + "learning_rate": 2.574532008319852e-06, + "loss": 0.6635, + "step": 37700 + }, + { + "epoch": 4.36, + "learning_rate": 2.5699098682690087e-06, + "loss": 1.0371, + "step": 37710 + }, + { + "epoch": 4.36, + "learning_rate": 2.5652877282181654e-06, + "loss": 0.8448, + "step": 37720 + }, + { + "epoch": 4.36, + "learning_rate": 2.5606655881673216e-06, + "loss": 1.0049, + "step": 37730 + }, + { + "epoch": 4.36, + "learning_rate": 2.5560434481164783e-06, + "loss": 0.7377, + "step": 37740 + }, + { + "epoch": 4.36, + "learning_rate": 2.5514213080656345e-06, + "loss": 0.8419, + "step": 37750 + }, + { + "epoch": 4.36, + "learning_rate": 2.546799168014791e-06, + "loss": 0.7814, + "step": 37760 + }, + { + "epoch": 4.36, + "learning_rate": 2.5421770279639474e-06, + "loss": 0.7054, + "step": 37770 + }, + { + "epoch": 4.37, + "learning_rate": 2.537554887913104e-06, + "loss": 0.9375, + "step": 37780 + }, + { + "epoch": 4.37, + "learning_rate": 2.5329327478622607e-06, + "loss": 0.9926, + "step": 37790 + }, + { + "epoch": 4.37, + "learning_rate": 2.5283106078114165e-06, + "loss": 0.7379, + "step": 37800 + }, + { + "epoch": 4.37, + "learning_rate": 2.523688467760573e-06, + "loss": 0.8499, + "step": 37810 + }, + { + "epoch": 4.37, + "learning_rate": 2.51906632770973e-06, + "loss": 0.8487, + "step": 37820 + }, + { + "epoch": 4.37, + "learning_rate": 2.5144441876588865e-06, + "loss": 0.8133, + "step": 37830 + }, + { + "epoch": 4.37, + "learning_rate": 2.5098220476080427e-06, + "loss": 0.8657, + "step": 37840 + }, + { + "epoch": 4.37, + "learning_rate": 2.5051999075571994e-06, + "loss": 0.8853, + "step": 37850 + }, + { + "epoch": 4.37, + "learning_rate": 2.500577767506356e-06, + "loss": 0.7408, + "step": 37860 + }, + { + "epoch": 4.38, + "learning_rate": 2.4959556274555123e-06, + "loss": 0.7534, + "step": 37870 + }, + { + "epoch": 4.38, + "learning_rate": 2.4913334874046685e-06, + "loss": 0.6876, + "step": 37880 + }, + { + "epoch": 4.38, + "learning_rate": 2.486711347353825e-06, + "loss": 0.7416, + "step": 37890 + }, + { + "epoch": 4.38, + "learning_rate": 2.4820892073029814e-06, + "loss": 0.8899, + "step": 37900 + }, + { + "epoch": 4.38, + "learning_rate": 2.4774670672521376e-06, + "loss": 0.8597, + "step": 37910 + }, + { + "epoch": 4.38, + "learning_rate": 2.4728449272012943e-06, + "loss": 0.8152, + "step": 37920 + }, + { + "epoch": 4.38, + "learning_rate": 2.468222787150451e-06, + "loss": 0.8279, + "step": 37930 + }, + { + "epoch": 4.38, + "learning_rate": 2.463600647099607e-06, + "loss": 0.7891, + "step": 37940 + }, + { + "epoch": 4.39, + "learning_rate": 2.458978507048764e-06, + "loss": 0.7798, + "step": 37950 + }, + { + "epoch": 4.39, + "learning_rate": 2.4543563669979205e-06, + "loss": 0.8365, + "step": 37960 + }, + { + "epoch": 4.39, + "learning_rate": 2.4497342269470767e-06, + "loss": 0.8375, + "step": 37970 + }, + { + "epoch": 4.39, + "learning_rate": 2.445112086896233e-06, + "loss": 0.6968, + "step": 37980 + }, + { + "epoch": 4.39, + "learning_rate": 2.4404899468453896e-06, + "loss": 0.6553, + "step": 37990 + }, + { + "epoch": 4.39, + "learning_rate": 2.435867806794546e-06, + "loss": 0.6821, + "step": 38000 + }, + { + "epoch": 4.39, + "learning_rate": 2.4312456667437025e-06, + "loss": 0.7226, + "step": 38010 + }, + { + "epoch": 4.39, + "learning_rate": 2.4266235266928587e-06, + "loss": 0.9781, + "step": 38020 + }, + { + "epoch": 4.39, + "learning_rate": 2.4220013866420154e-06, + "loss": 0.8679, + "step": 38030 + }, + { + "epoch": 4.4, + "learning_rate": 2.417379246591172e-06, + "loss": 0.8135, + "step": 38040 + }, + { + "epoch": 4.4, + "learning_rate": 2.4127571065403283e-06, + "loss": 0.8498, + "step": 38050 + }, + { + "epoch": 4.4, + "learning_rate": 2.408134966489485e-06, + "loss": 0.7852, + "step": 38060 + }, + { + "epoch": 4.4, + "learning_rate": 2.403512826438641e-06, + "loss": 0.8999, + "step": 38070 + }, + { + "epoch": 4.4, + "learning_rate": 2.398890686387798e-06, + "loss": 0.9457, + "step": 38080 + }, + { + "epoch": 4.4, + "learning_rate": 2.394268546336954e-06, + "loss": 0.7311, + "step": 38090 + }, + { + "epoch": 4.4, + "learning_rate": 2.3896464062861107e-06, + "loss": 1.0359, + "step": 38100 + }, + { + "epoch": 4.4, + "learning_rate": 2.385024266235267e-06, + "loss": 0.5918, + "step": 38110 + }, + { + "epoch": 4.4, + "learning_rate": 2.3804021261844236e-06, + "loss": 0.9023, + "step": 38120 + }, + { + "epoch": 4.41, + "learning_rate": 2.3757799861335803e-06, + "loss": 0.7401, + "step": 38130 + }, + { + "epoch": 4.41, + "learning_rate": 2.3711578460827365e-06, + "loss": 0.7755, + "step": 38140 + }, + { + "epoch": 4.41, + "learning_rate": 2.366535706031893e-06, + "loss": 1.0756, + "step": 38150 + }, + { + "epoch": 4.41, + "learning_rate": 2.3619135659810494e-06, + "loss": 1.111, + "step": 38160 + }, + { + "epoch": 4.41, + "learning_rate": 2.357291425930206e-06, + "loss": 0.8878, + "step": 38170 + }, + { + "epoch": 4.41, + "learning_rate": 2.3526692858793623e-06, + "loss": 1.015, + "step": 38180 + }, + { + "epoch": 4.41, + "learning_rate": 2.3480471458285185e-06, + "loss": 0.7015, + "step": 38190 + }, + { + "epoch": 4.41, + "learning_rate": 2.343425005777675e-06, + "loss": 0.8411, + "step": 38200 + }, + { + "epoch": 4.42, + "learning_rate": 2.3388028657268314e-06, + "loss": 0.9048, + "step": 38210 + }, + { + "epoch": 4.42, + "learning_rate": 2.334180725675988e-06, + "loss": 0.8259, + "step": 38220 + }, + { + "epoch": 4.42, + "learning_rate": 2.3295585856251447e-06, + "loss": 0.7908, + "step": 38230 + }, + { + "epoch": 4.42, + "learning_rate": 2.3249364455743014e-06, + "loss": 0.9188, + "step": 38240 + }, + { + "epoch": 4.42, + "learning_rate": 2.3203143055234576e-06, + "loss": 0.9833, + "step": 38250 + }, + { + "epoch": 4.42, + "learning_rate": 2.315692165472614e-06, + "loss": 0.766, + "step": 38260 + }, + { + "epoch": 4.42, + "learning_rate": 2.3110700254217705e-06, + "loss": 0.7103, + "step": 38270 + }, + { + "epoch": 4.42, + "learning_rate": 2.3064478853709268e-06, + "loss": 0.8448, + "step": 38280 + }, + { + "epoch": 4.42, + "learning_rate": 2.3018257453200834e-06, + "loss": 0.766, + "step": 38290 + }, + { + "epoch": 4.43, + "learning_rate": 2.2972036052692396e-06, + "loss": 0.7764, + "step": 38300 + }, + { + "epoch": 4.43, + "learning_rate": 2.2925814652183963e-06, + "loss": 0.8038, + "step": 38310 + }, + { + "epoch": 4.43, + "learning_rate": 2.287959325167553e-06, + "loss": 0.7558, + "step": 38320 + }, + { + "epoch": 4.43, + "learning_rate": 2.283337185116709e-06, + "loss": 0.7038, + "step": 38330 + }, + { + "epoch": 4.43, + "learning_rate": 2.278715045065866e-06, + "loss": 0.8888, + "step": 38340 + }, + { + "epoch": 4.43, + "learning_rate": 2.274092905015022e-06, + "loss": 0.7891, + "step": 38350 + }, + { + "epoch": 4.43, + "learning_rate": 2.2694707649641787e-06, + "loss": 0.8708, + "step": 38360 + }, + { + "epoch": 4.43, + "learning_rate": 2.264848624913335e-06, + "loss": 0.9766, + "step": 38370 + }, + { + "epoch": 4.43, + "learning_rate": 2.2602264848624916e-06, + "loss": 0.7565, + "step": 38380 + }, + { + "epoch": 4.44, + "learning_rate": 2.255604344811648e-06, + "loss": 0.9294, + "step": 38390 + }, + { + "epoch": 4.44, + "learning_rate": 2.2509822047608045e-06, + "loss": 0.7993, + "step": 38400 + }, + { + "epoch": 4.44, + "learning_rate": 2.2463600647099608e-06, + "loss": 0.6835, + "step": 38410 + }, + { + "epoch": 4.44, + "learning_rate": 2.2417379246591174e-06, + "loss": 1.0095, + "step": 38420 + }, + { + "epoch": 4.44, + "learning_rate": 2.237115784608274e-06, + "loss": 0.8261, + "step": 38430 + }, + { + "epoch": 4.44, + "learning_rate": 2.2324936445574303e-06, + "loss": 0.8136, + "step": 38440 + }, + { + "epoch": 4.44, + "learning_rate": 2.227871504506587e-06, + "loss": 0.9287, + "step": 38450 + }, + { + "epoch": 4.44, + "learning_rate": 2.223249364455743e-06, + "loss": 0.6646, + "step": 38460 + }, + { + "epoch": 4.45, + "learning_rate": 2.2186272244048994e-06, + "loss": 0.8341, + "step": 38470 + }, + { + "epoch": 4.45, + "learning_rate": 2.214005084354056e-06, + "loss": 0.8221, + "step": 38480 + }, + { + "epoch": 4.45, + "learning_rate": 2.2093829443032123e-06, + "loss": 0.8717, + "step": 38490 + }, + { + "epoch": 4.45, + "learning_rate": 2.204760804252369e-06, + "loss": 0.7171, + "step": 38500 + }, + { + "epoch": 4.45, + "learning_rate": 2.2001386642015256e-06, + "loss": 0.8499, + "step": 38510 + }, + { + "epoch": 4.45, + "learning_rate": 2.195516524150682e-06, + "loss": 0.6939, + "step": 38520 + }, + { + "epoch": 4.45, + "learning_rate": 2.1908943840998385e-06, + "loss": 0.9046, + "step": 38530 + }, + { + "epoch": 4.45, + "learning_rate": 2.1862722440489948e-06, + "loss": 0.8706, + "step": 38540 + }, + { + "epoch": 4.45, + "learning_rate": 2.1816501039981514e-06, + "loss": 0.7388, + "step": 38550 + }, + { + "epoch": 4.46, + "learning_rate": 2.1770279639473076e-06, + "loss": 0.8387, + "step": 38560 + }, + { + "epoch": 4.46, + "learning_rate": 2.1724058238964643e-06, + "loss": 0.9778, + "step": 38570 + }, + { + "epoch": 4.46, + "learning_rate": 2.1677836838456205e-06, + "loss": 0.7673, + "step": 38580 + }, + { + "epoch": 4.46, + "learning_rate": 2.163161543794777e-06, + "loss": 0.8174, + "step": 38590 + }, + { + "epoch": 4.46, + "learning_rate": 2.1585394037439334e-06, + "loss": 0.9256, + "step": 38600 + }, + { + "epoch": 4.46, + "learning_rate": 2.15391726369309e-06, + "loss": 0.5892, + "step": 38610 + }, + { + "epoch": 4.46, + "learning_rate": 2.1492951236422467e-06, + "loss": 0.6775, + "step": 38620 + }, + { + "epoch": 4.46, + "learning_rate": 2.144672983591403e-06, + "loss": 0.9301, + "step": 38630 + }, + { + "epoch": 4.46, + "learning_rate": 2.1400508435405596e-06, + "loss": 0.6767, + "step": 38640 + }, + { + "epoch": 4.47, + "learning_rate": 2.135428703489716e-06, + "loss": 0.8614, + "step": 38650 + }, + { + "epoch": 4.47, + "learning_rate": 2.1308065634388725e-06, + "loss": 0.7664, + "step": 38660 + }, + { + "epoch": 4.47, + "learning_rate": 2.1261844233880288e-06, + "loss": 0.7859, + "step": 38670 + }, + { + "epoch": 4.47, + "learning_rate": 2.121562283337185e-06, + "loss": 1.1051, + "step": 38680 + }, + { + "epoch": 4.47, + "learning_rate": 2.1169401432863417e-06, + "loss": 0.6886, + "step": 38690 + }, + { + "epoch": 4.47, + "learning_rate": 2.1123180032354983e-06, + "loss": 0.73, + "step": 38700 + }, + { + "epoch": 4.47, + "learning_rate": 2.1076958631846545e-06, + "loss": 0.5472, + "step": 38710 + }, + { + "epoch": 4.47, + "learning_rate": 2.103073723133811e-06, + "loss": 0.6179, + "step": 38720 + }, + { + "epoch": 4.48, + "learning_rate": 2.098451583082968e-06, + "loss": 0.9279, + "step": 38730 + }, + { + "epoch": 4.48, + "learning_rate": 2.093829443032124e-06, + "loss": 0.8562, + "step": 38740 + }, + { + "epoch": 4.48, + "learning_rate": 2.0892073029812803e-06, + "loss": 0.7964, + "step": 38750 + }, + { + "epoch": 4.48, + "learning_rate": 2.084585162930437e-06, + "loss": 1.0026, + "step": 38760 + }, + { + "epoch": 4.48, + "learning_rate": 2.0799630228795932e-06, + "loss": 0.8679, + "step": 38770 + }, + { + "epoch": 4.48, + "learning_rate": 2.07534088282875e-06, + "loss": 0.8446, + "step": 38780 + }, + { + "epoch": 4.48, + "learning_rate": 2.070718742777906e-06, + "loss": 0.9137, + "step": 38790 + }, + { + "epoch": 4.48, + "learning_rate": 2.0660966027270628e-06, + "loss": 0.7973, + "step": 38800 + }, + { + "epoch": 4.48, + "learning_rate": 2.0614744626762194e-06, + "loss": 0.8514, + "step": 38810 + }, + { + "epoch": 4.49, + "learning_rate": 2.0568523226253757e-06, + "loss": 0.8002, + "step": 38820 + }, + { + "epoch": 4.49, + "learning_rate": 2.0522301825745323e-06, + "loss": 0.8189, + "step": 38830 + }, + { + "epoch": 4.49, + "learning_rate": 2.0476080425236885e-06, + "loss": 0.702, + "step": 38840 + }, + { + "epoch": 4.49, + "learning_rate": 2.042985902472845e-06, + "loss": 0.7931, + "step": 38850 + }, + { + "epoch": 4.49, + "learning_rate": 2.0383637624220014e-06, + "loss": 0.8525, + "step": 38860 + }, + { + "epoch": 4.49, + "learning_rate": 2.033741622371158e-06, + "loss": 0.7489, + "step": 38870 + }, + { + "epoch": 4.49, + "learning_rate": 2.0291194823203143e-06, + "loss": 0.7543, + "step": 38880 + }, + { + "epoch": 4.49, + "learning_rate": 2.024497342269471e-06, + "loss": 0.7692, + "step": 38890 + }, + { + "epoch": 4.5, + "learning_rate": 2.0198752022186276e-06, + "loss": 0.838, + "step": 38900 + }, + { + "epoch": 4.5, + "learning_rate": 2.015253062167784e-06, + "loss": 0.7529, + "step": 38910 + }, + { + "epoch": 4.5, + "learning_rate": 2.0106309221169405e-06, + "loss": 0.7866, + "step": 38920 + }, + { + "epoch": 4.5, + "learning_rate": 2.0060087820660968e-06, + "loss": 0.853, + "step": 38930 + }, + { + "epoch": 4.5, + "learning_rate": 2.0013866420152534e-06, + "loss": 0.8385, + "step": 38940 + }, + { + "epoch": 4.5, + "learning_rate": 1.9967645019644097e-06, + "loss": 1.0043, + "step": 38950 + }, + { + "epoch": 4.5, + "learning_rate": 1.992142361913566e-06, + "loss": 0.7267, + "step": 38960 + }, + { + "epoch": 4.5, + "learning_rate": 1.9875202218627225e-06, + "loss": 0.6928, + "step": 38970 + }, + { + "epoch": 4.5, + "learning_rate": 1.9828980818118788e-06, + "loss": 1.0287, + "step": 38980 + }, + { + "epoch": 4.51, + "learning_rate": 1.9782759417610354e-06, + "loss": 0.8203, + "step": 38990 + }, + { + "epoch": 4.51, + "learning_rate": 1.973653801710192e-06, + "loss": 0.9839, + "step": 39000 + }, + { + "epoch": 4.51, + "learning_rate": 1.9690316616593488e-06, + "loss": 0.962, + "step": 39010 + }, + { + "epoch": 4.51, + "learning_rate": 1.964409521608505e-06, + "loss": 0.827, + "step": 39020 + }, + { + "epoch": 4.51, + "learning_rate": 1.9597873815576612e-06, + "loss": 0.8636, + "step": 39030 + }, + { + "epoch": 4.51, + "learning_rate": 1.955165241506818e-06, + "loss": 0.728, + "step": 39040 + }, + { + "epoch": 4.51, + "learning_rate": 1.950543101455974e-06, + "loss": 0.9913, + "step": 39050 + }, + { + "epoch": 4.51, + "learning_rate": 1.9459209614051308e-06, + "loss": 0.9632, + "step": 39060 + }, + { + "epoch": 4.51, + "learning_rate": 1.941298821354287e-06, + "loss": 0.6621, + "step": 39070 + }, + { + "epoch": 4.52, + "learning_rate": 1.9366766813034437e-06, + "loss": 0.605, + "step": 39080 + }, + { + "epoch": 4.52, + "learning_rate": 1.9320545412526003e-06, + "loss": 1.1318, + "step": 39090 + }, + { + "epoch": 4.52, + "learning_rate": 1.9274324012017565e-06, + "loss": 0.7884, + "step": 39100 + }, + { + "epoch": 4.52, + "learning_rate": 1.922810261150913e-06, + "loss": 0.8642, + "step": 39110 + }, + { + "epoch": 4.52, + "learning_rate": 1.9181881211000694e-06, + "loss": 0.6713, + "step": 39120 + }, + { + "epoch": 4.52, + "learning_rate": 1.913565981049226e-06, + "loss": 0.8832, + "step": 39130 + }, + { + "epoch": 4.52, + "learning_rate": 1.9089438409983823e-06, + "loss": 0.7471, + "step": 39140 + }, + { + "epoch": 4.52, + "learning_rate": 1.904321700947539e-06, + "loss": 0.8892, + "step": 39150 + }, + { + "epoch": 4.53, + "learning_rate": 1.8996995608966954e-06, + "loss": 0.8031, + "step": 39160 + }, + { + "epoch": 4.53, + "learning_rate": 1.8950774208458517e-06, + "loss": 0.9307, + "step": 39170 + }, + { + "epoch": 4.53, + "learning_rate": 1.8904552807950083e-06, + "loss": 0.7306, + "step": 39180 + }, + { + "epoch": 4.53, + "learning_rate": 1.8858331407441646e-06, + "loss": 0.9192, + "step": 39190 + }, + { + "epoch": 4.53, + "learning_rate": 1.8812110006933212e-06, + "loss": 0.841, + "step": 39200 + }, + { + "epoch": 4.53, + "learning_rate": 1.8765888606424777e-06, + "loss": 0.6903, + "step": 39210 + }, + { + "epoch": 4.53, + "learning_rate": 1.871966720591634e-06, + "loss": 0.7733, + "step": 39220 + }, + { + "epoch": 4.53, + "learning_rate": 1.8673445805407905e-06, + "loss": 0.9847, + "step": 39230 + }, + { + "epoch": 4.53, + "learning_rate": 1.8627224404899468e-06, + "loss": 0.9649, + "step": 39240 + }, + { + "epoch": 4.54, + "learning_rate": 1.8581003004391034e-06, + "loss": 0.7399, + "step": 39250 + }, + { + "epoch": 4.54, + "learning_rate": 1.8534781603882599e-06, + "loss": 0.7935, + "step": 39260 + }, + { + "epoch": 4.54, + "learning_rate": 1.8488560203374165e-06, + "loss": 0.927, + "step": 39270 + }, + { + "epoch": 4.54, + "learning_rate": 1.8442338802865728e-06, + "loss": 1.0558, + "step": 39280 + }, + { + "epoch": 4.54, + "learning_rate": 1.8396117402357294e-06, + "loss": 0.9971, + "step": 39290 + }, + { + "epoch": 4.54, + "learning_rate": 1.8349896001848857e-06, + "loss": 0.6513, + "step": 39300 + }, + { + "epoch": 4.54, + "learning_rate": 1.8303674601340421e-06, + "loss": 1.125, + "step": 39310 + }, + { + "epoch": 4.54, + "learning_rate": 1.8257453200831988e-06, + "loss": 0.7183, + "step": 39320 + }, + { + "epoch": 4.54, + "learning_rate": 1.821123180032355e-06, + "loss": 0.7917, + "step": 39330 + }, + { + "epoch": 4.55, + "learning_rate": 1.8165010399815117e-06, + "loss": 1.0274, + "step": 39340 + }, + { + "epoch": 4.55, + "learning_rate": 1.811878899930668e-06, + "loss": 0.821, + "step": 39350 + }, + { + "epoch": 4.55, + "learning_rate": 1.8072567598798246e-06, + "loss": 0.8154, + "step": 39360 + }, + { + "epoch": 4.55, + "learning_rate": 1.802634619828981e-06, + "loss": 0.681, + "step": 39370 + }, + { + "epoch": 4.55, + "learning_rate": 1.7980124797781372e-06, + "loss": 0.7506, + "step": 39380 + }, + { + "epoch": 4.55, + "learning_rate": 1.7933903397272939e-06, + "loss": 0.6765, + "step": 39390 + }, + { + "epoch": 4.55, + "learning_rate": 1.7887681996764503e-06, + "loss": 0.8094, + "step": 39400 + }, + { + "epoch": 4.55, + "learning_rate": 1.784146059625607e-06, + "loss": 0.8857, + "step": 39410 + }, + { + "epoch": 4.56, + "learning_rate": 1.7795239195747632e-06, + "loss": 0.7577, + "step": 39420 + }, + { + "epoch": 4.56, + "learning_rate": 1.7749017795239199e-06, + "loss": 0.865, + "step": 39430 + }, + { + "epoch": 4.56, + "learning_rate": 1.7702796394730761e-06, + "loss": 0.9283, + "step": 39440 + }, + { + "epoch": 4.56, + "learning_rate": 1.7656574994222326e-06, + "loss": 0.8391, + "step": 39450 + }, + { + "epoch": 4.56, + "learning_rate": 1.7610353593713892e-06, + "loss": 0.8601, + "step": 39460 + }, + { + "epoch": 4.56, + "learning_rate": 1.7564132193205455e-06, + "loss": 0.7577, + "step": 39470 + }, + { + "epoch": 4.56, + "learning_rate": 1.7517910792697021e-06, + "loss": 0.6711, + "step": 39480 + }, + { + "epoch": 4.56, + "learning_rate": 1.7471689392188583e-06, + "loss": 0.6647, + "step": 39490 + }, + { + "epoch": 4.56, + "learning_rate": 1.742546799168015e-06, + "loss": 0.7228, + "step": 39500 + }, + { + "epoch": 4.57, + "learning_rate": 1.7379246591171714e-06, + "loss": 0.6484, + "step": 39510 + }, + { + "epoch": 4.57, + "learning_rate": 1.7333025190663277e-06, + "loss": 0.868, + "step": 39520 + }, + { + "epoch": 4.57, + "learning_rate": 1.7286803790154843e-06, + "loss": 1.0486, + "step": 39530 + }, + { + "epoch": 4.57, + "learning_rate": 1.7240582389646408e-06, + "loss": 0.6293, + "step": 39540 + }, + { + "epoch": 4.57, + "learning_rate": 1.7194360989137972e-06, + "loss": 0.6916, + "step": 39550 + }, + { + "epoch": 4.57, + "learning_rate": 1.7148139588629537e-06, + "loss": 0.8302, + "step": 39560 + }, + { + "epoch": 4.57, + "learning_rate": 1.7101918188121103e-06, + "loss": 0.683, + "step": 39570 + }, + { + "epoch": 4.57, + "learning_rate": 1.7055696787612666e-06, + "loss": 0.7885, + "step": 39580 + }, + { + "epoch": 4.57, + "learning_rate": 1.700947538710423e-06, + "loss": 0.7836, + "step": 39590 + }, + { + "epoch": 4.58, + "learning_rate": 1.6963253986595797e-06, + "loss": 0.9216, + "step": 39600 + }, + { + "epoch": 4.58, + "learning_rate": 1.691703258608736e-06, + "loss": 0.7465, + "step": 39610 + }, + { + "epoch": 4.58, + "learning_rate": 1.6870811185578926e-06, + "loss": 0.8102, + "step": 39620 + }, + { + "epoch": 4.58, + "learning_rate": 1.6824589785070488e-06, + "loss": 0.8372, + "step": 39630 + }, + { + "epoch": 4.58, + "learning_rate": 1.6778368384562054e-06, + "loss": 0.797, + "step": 39640 + }, + { + "epoch": 4.58, + "learning_rate": 1.6732146984053619e-06, + "loss": 0.9152, + "step": 39650 + }, + { + "epoch": 4.58, + "learning_rate": 1.6685925583545181e-06, + "loss": 0.8541, + "step": 39660 + }, + { + "epoch": 4.58, + "learning_rate": 1.6639704183036748e-06, + "loss": 0.6513, + "step": 39670 + }, + { + "epoch": 4.59, + "learning_rate": 1.6593482782528312e-06, + "loss": 0.7553, + "step": 39680 + }, + { + "epoch": 4.59, + "learning_rate": 1.6547261382019877e-06, + "loss": 1.128, + "step": 39690 + }, + { + "epoch": 4.59, + "learning_rate": 1.6501039981511441e-06, + "loss": 0.7128, + "step": 39700 + }, + { + "epoch": 4.59, + "learning_rate": 1.6454818581003008e-06, + "loss": 0.8618, + "step": 39710 + }, + { + "epoch": 4.59, + "learning_rate": 1.640859718049457e-06, + "loss": 0.8839, + "step": 39720 + }, + { + "epoch": 4.59, + "learning_rate": 1.6362375779986135e-06, + "loss": 0.9761, + "step": 39730 + }, + { + "epoch": 4.59, + "learning_rate": 1.63161543794777e-06, + "loss": 0.6661, + "step": 39740 + }, + { + "epoch": 4.59, + "learning_rate": 1.6269932978969263e-06, + "loss": 1.0321, + "step": 39750 + }, + { + "epoch": 4.59, + "learning_rate": 1.622371157846083e-06, + "loss": 0.8469, + "step": 39760 + }, + { + "epoch": 4.6, + "learning_rate": 1.6177490177952392e-06, + "loss": 1.1144, + "step": 39770 + }, + { + "epoch": 4.6, + "learning_rate": 1.6131268777443959e-06, + "loss": 0.9211, + "step": 39780 + }, + { + "epoch": 4.6, + "learning_rate": 1.6085047376935523e-06, + "loss": 0.7554, + "step": 39790 + }, + { + "epoch": 4.6, + "learning_rate": 1.6038825976427086e-06, + "loss": 0.8313, + "step": 39800 + }, + { + "epoch": 4.6, + "learning_rate": 1.5992604575918652e-06, + "loss": 0.8605, + "step": 39810 + }, + { + "epoch": 4.6, + "learning_rate": 1.5946383175410215e-06, + "loss": 1.0696, + "step": 39820 + }, + { + "epoch": 4.6, + "learning_rate": 1.5900161774901781e-06, + "loss": 0.7738, + "step": 39830 + }, + { + "epoch": 4.6, + "learning_rate": 1.5853940374393346e-06, + "loss": 0.8035, + "step": 39840 + }, + { + "epoch": 4.6, + "learning_rate": 1.5807718973884912e-06, + "loss": 0.7949, + "step": 39850 + }, + { + "epoch": 4.61, + "learning_rate": 1.5761497573376475e-06, + "loss": 0.6713, + "step": 39860 + }, + { + "epoch": 4.61, + "learning_rate": 1.571527617286804e-06, + "loss": 0.8782, + "step": 39870 + }, + { + "epoch": 4.61, + "learning_rate": 1.5669054772359603e-06, + "loss": 0.8094, + "step": 39880 + }, + { + "epoch": 4.61, + "learning_rate": 1.5622833371851168e-06, + "loss": 1.0555, + "step": 39890 + }, + { + "epoch": 4.61, + "learning_rate": 1.5576611971342735e-06, + "loss": 0.6384, + "step": 39900 + }, + { + "epoch": 4.61, + "learning_rate": 1.5530390570834297e-06, + "loss": 0.8541, + "step": 39910 + }, + { + "epoch": 4.61, + "learning_rate": 1.5484169170325863e-06, + "loss": 0.8051, + "step": 39920 + }, + { + "epoch": 4.61, + "learning_rate": 1.5437947769817428e-06, + "loss": 1.0088, + "step": 39930 + }, + { + "epoch": 4.62, + "learning_rate": 1.539172636930899e-06, + "loss": 0.7512, + "step": 39940 + }, + { + "epoch": 4.62, + "learning_rate": 1.5345504968800557e-06, + "loss": 0.683, + "step": 39950 + }, + { + "epoch": 4.62, + "learning_rate": 1.529928356829212e-06, + "loss": 0.6487, + "step": 39960 + }, + { + "epoch": 4.62, + "learning_rate": 1.5253062167783686e-06, + "loss": 0.9845, + "step": 39970 + }, + { + "epoch": 4.62, + "learning_rate": 1.520684076727525e-06, + "loss": 0.8149, + "step": 39980 + }, + { + "epoch": 4.62, + "learning_rate": 1.5160619366766815e-06, + "loss": 0.646, + "step": 39990 + }, + { + "epoch": 4.62, + "learning_rate": 1.511439796625838e-06, + "loss": 1.0718, + "step": 40000 + }, + { + "epoch": 4.62, + "learning_rate": 1.5068176565749941e-06, + "loss": 0.9203, + "step": 40010 + }, + { + "epoch": 4.62, + "learning_rate": 1.5021955165241508e-06, + "loss": 0.8804, + "step": 40020 + }, + { + "epoch": 4.63, + "learning_rate": 1.4975733764733072e-06, + "loss": 1.0434, + "step": 40030 + }, + { + "epoch": 4.63, + "learning_rate": 1.492951236422464e-06, + "loss": 0.8672, + "step": 40040 + }, + { + "epoch": 4.63, + "learning_rate": 1.4883290963716201e-06, + "loss": 0.9391, + "step": 40050 + }, + { + "epoch": 4.63, + "learning_rate": 1.4837069563207768e-06, + "loss": 0.7916, + "step": 40060 + }, + { + "epoch": 4.63, + "learning_rate": 1.479084816269933e-06, + "loss": 0.8457, + "step": 40070 + }, + { + "epoch": 4.63, + "learning_rate": 1.4744626762190895e-06, + "loss": 0.765, + "step": 40080 + }, + { + "epoch": 4.63, + "learning_rate": 1.4698405361682461e-06, + "loss": 0.8014, + "step": 40090 + }, + { + "epoch": 4.63, + "learning_rate": 1.4652183961174024e-06, + "loss": 0.9513, + "step": 40100 + }, + { + "epoch": 4.63, + "learning_rate": 1.460596256066559e-06, + "loss": 0.6928, + "step": 40110 + }, + { + "epoch": 4.64, + "learning_rate": 1.4559741160157155e-06, + "loss": 1.0236, + "step": 40120 + }, + { + "epoch": 4.64, + "learning_rate": 1.451351975964872e-06, + "loss": 0.7326, + "step": 40130 + }, + { + "epoch": 4.64, + "learning_rate": 1.4467298359140284e-06, + "loss": 0.8985, + "step": 40140 + }, + { + "epoch": 4.64, + "learning_rate": 1.4421076958631846e-06, + "loss": 0.7906, + "step": 40150 + }, + { + "epoch": 4.64, + "learning_rate": 1.4374855558123412e-06, + "loss": 1.0059, + "step": 40160 + }, + { + "epoch": 4.64, + "learning_rate": 1.4328634157614977e-06, + "loss": 0.9045, + "step": 40170 + }, + { + "epoch": 4.64, + "learning_rate": 1.4282412757106543e-06, + "loss": 0.7234, + "step": 40180 + }, + { + "epoch": 4.64, + "learning_rate": 1.4236191356598106e-06, + "loss": 0.8198, + "step": 40190 + }, + { + "epoch": 4.65, + "learning_rate": 1.4189969956089672e-06, + "loss": 0.8259, + "step": 40200 + }, + { + "epoch": 4.65, + "learning_rate": 1.4143748555581235e-06, + "loss": 0.8541, + "step": 40210 + }, + { + "epoch": 4.65, + "learning_rate": 1.40975271550728e-06, + "loss": 0.8396, + "step": 40220 + }, + { + "epoch": 4.65, + "learning_rate": 1.4051305754564366e-06, + "loss": 0.8265, + "step": 40230 + }, + { + "epoch": 4.65, + "learning_rate": 1.4005084354055928e-06, + "loss": 0.8588, + "step": 40240 + }, + { + "epoch": 4.65, + "learning_rate": 1.3958862953547495e-06, + "loss": 0.7324, + "step": 40250 + }, + { + "epoch": 4.65, + "learning_rate": 1.3912641553039057e-06, + "loss": 0.9739, + "step": 40260 + }, + { + "epoch": 4.65, + "learning_rate": 1.3866420152530624e-06, + "loss": 0.6921, + "step": 40270 + }, + { + "epoch": 4.65, + "learning_rate": 1.3820198752022188e-06, + "loss": 1.0302, + "step": 40280 + }, + { + "epoch": 4.66, + "learning_rate": 1.377397735151375e-06, + "loss": 0.682, + "step": 40290 + }, + { + "epoch": 4.66, + "learning_rate": 1.3727755951005317e-06, + "loss": 0.6932, + "step": 40300 + }, + { + "epoch": 4.66, + "learning_rate": 1.3681534550496881e-06, + "loss": 0.6749, + "step": 40310 + }, + { + "epoch": 4.66, + "learning_rate": 1.3635313149988446e-06, + "loss": 1.0174, + "step": 40320 + }, + { + "epoch": 4.66, + "learning_rate": 1.358909174948001e-06, + "loss": 0.9619, + "step": 40330 + }, + { + "epoch": 4.66, + "learning_rate": 1.3542870348971577e-06, + "loss": 0.8209, + "step": 40340 + }, + { + "epoch": 4.66, + "learning_rate": 1.349664894846314e-06, + "loss": 0.9947, + "step": 40350 + }, + { + "epoch": 4.66, + "learning_rate": 1.3450427547954704e-06, + "loss": 0.8035, + "step": 40360 + }, + { + "epoch": 4.66, + "learning_rate": 1.340420614744627e-06, + "loss": 0.7037, + "step": 40370 + }, + { + "epoch": 4.67, + "learning_rate": 1.3357984746937833e-06, + "loss": 0.7243, + "step": 40380 + }, + { + "epoch": 4.67, + "learning_rate": 1.33117633464294e-06, + "loss": 0.7731, + "step": 40390 + }, + { + "epoch": 4.67, + "learning_rate": 1.3265541945920961e-06, + "loss": 0.7311, + "step": 40400 + }, + { + "epoch": 4.67, + "learning_rate": 1.3219320545412528e-06, + "loss": 0.8399, + "step": 40410 + }, + { + "epoch": 4.67, + "learning_rate": 1.3173099144904092e-06, + "loss": 0.7077, + "step": 40420 + }, + { + "epoch": 4.67, + "learning_rate": 1.3126877744395655e-06, + "loss": 0.809, + "step": 40430 + }, + { + "epoch": 4.67, + "learning_rate": 1.3080656343887221e-06, + "loss": 0.8577, + "step": 40440 + }, + { + "epoch": 4.67, + "learning_rate": 1.3034434943378786e-06, + "loss": 0.6869, + "step": 40450 + }, + { + "epoch": 4.68, + "learning_rate": 1.298821354287035e-06, + "loss": 0.9247, + "step": 40460 + }, + { + "epoch": 4.68, + "learning_rate": 1.2941992142361915e-06, + "loss": 0.7559, + "step": 40470 + }, + { + "epoch": 4.68, + "learning_rate": 1.2895770741853481e-06, + "loss": 0.8214, + "step": 40480 + }, + { + "epoch": 4.68, + "learning_rate": 1.2849549341345044e-06, + "loss": 0.7947, + "step": 40490 + }, + { + "epoch": 4.68, + "learning_rate": 1.2803327940836608e-06, + "loss": 0.9728, + "step": 40500 + }, + { + "epoch": 4.68, + "learning_rate": 1.2757106540328173e-06, + "loss": 0.8738, + "step": 40510 + }, + { + "epoch": 4.68, + "learning_rate": 1.2710885139819737e-06, + "loss": 0.6264, + "step": 40520 + }, + { + "epoch": 4.68, + "learning_rate": 1.2664663739311304e-06, + "loss": 1.0125, + "step": 40530 + }, + { + "epoch": 4.68, + "learning_rate": 1.2618442338802866e-06, + "loss": 0.7527, + "step": 40540 + }, + { + "epoch": 4.69, + "learning_rate": 1.2572220938294432e-06, + "loss": 0.86, + "step": 40550 + }, + { + "epoch": 4.69, + "learning_rate": 1.2525999537785997e-06, + "loss": 0.5716, + "step": 40560 + }, + { + "epoch": 4.69, + "learning_rate": 1.2479778137277561e-06, + "loss": 0.6269, + "step": 40570 + }, + { + "epoch": 4.69, + "learning_rate": 1.2433556736769126e-06, + "loss": 0.8941, + "step": 40580 + }, + { + "epoch": 4.69, + "learning_rate": 1.2387335336260688e-06, + "loss": 0.8534, + "step": 40590 + }, + { + "epoch": 4.69, + "learning_rate": 1.2341113935752255e-06, + "loss": 0.8418, + "step": 40600 + }, + { + "epoch": 4.69, + "learning_rate": 1.229489253524382e-06, + "loss": 0.8226, + "step": 40610 + }, + { + "epoch": 4.69, + "learning_rate": 1.2248671134735384e-06, + "loss": 0.9161, + "step": 40620 + }, + { + "epoch": 4.69, + "learning_rate": 1.2202449734226948e-06, + "loss": 0.9764, + "step": 40630 + }, + { + "epoch": 4.7, + "learning_rate": 1.2156228333718513e-06, + "loss": 0.7506, + "step": 40640 + }, + { + "epoch": 4.7, + "learning_rate": 1.2110006933210077e-06, + "loss": 0.8354, + "step": 40650 + }, + { + "epoch": 4.7, + "learning_rate": 1.2063785532701641e-06, + "loss": 0.825, + "step": 40660 + }, + { + "epoch": 4.7, + "learning_rate": 1.2017564132193206e-06, + "loss": 1.0832, + "step": 40670 + }, + { + "epoch": 4.7, + "learning_rate": 1.197134273168477e-06, + "loss": 0.7905, + "step": 40680 + }, + { + "epoch": 4.7, + "learning_rate": 1.1925121331176335e-06, + "loss": 0.54, + "step": 40690 + }, + { + "epoch": 4.7, + "learning_rate": 1.1878899930667901e-06, + "loss": 0.9861, + "step": 40700 + }, + { + "epoch": 4.7, + "learning_rate": 1.1832678530159466e-06, + "loss": 0.8331, + "step": 40710 + }, + { + "epoch": 4.71, + "learning_rate": 1.178645712965103e-06, + "loss": 0.8353, + "step": 40720 + }, + { + "epoch": 4.71, + "learning_rate": 1.1740235729142593e-06, + "loss": 0.7574, + "step": 40730 + }, + { + "epoch": 4.71, + "learning_rate": 1.1694014328634157e-06, + "loss": 1.0287, + "step": 40740 + }, + { + "epoch": 4.71, + "learning_rate": 1.1647792928125724e-06, + "loss": 1.0113, + "step": 40750 + }, + { + "epoch": 4.71, + "learning_rate": 1.1601571527617288e-06, + "loss": 0.7358, + "step": 40760 + }, + { + "epoch": 4.71, + "learning_rate": 1.1555350127108853e-06, + "loss": 0.8273, + "step": 40770 + }, + { + "epoch": 4.71, + "learning_rate": 1.1509128726600417e-06, + "loss": 0.7437, + "step": 40780 + }, + { + "epoch": 4.71, + "learning_rate": 1.1462907326091982e-06, + "loss": 0.8638, + "step": 40790 + }, + { + "epoch": 4.71, + "learning_rate": 1.1416685925583546e-06, + "loss": 1.1248, + "step": 40800 + }, + { + "epoch": 4.72, + "learning_rate": 1.137046452507511e-06, + "loss": 0.7548, + "step": 40810 + }, + { + "epoch": 4.72, + "learning_rate": 1.1324243124566675e-06, + "loss": 1.0012, + "step": 40820 + }, + { + "epoch": 4.72, + "learning_rate": 1.127802172405824e-06, + "loss": 1.0023, + "step": 40830 + }, + { + "epoch": 4.72, + "learning_rate": 1.1231800323549804e-06, + "loss": 0.9223, + "step": 40840 + }, + { + "epoch": 4.72, + "learning_rate": 1.118557892304137e-06, + "loss": 0.7782, + "step": 40850 + }, + { + "epoch": 4.72, + "learning_rate": 1.1139357522532935e-06, + "loss": 1.0198, + "step": 40860 + }, + { + "epoch": 4.72, + "learning_rate": 1.1093136122024497e-06, + "loss": 0.8788, + "step": 40870 + }, + { + "epoch": 4.72, + "learning_rate": 1.1046914721516062e-06, + "loss": 0.8287, + "step": 40880 + }, + { + "epoch": 4.72, + "learning_rate": 1.1000693321007628e-06, + "loss": 0.719, + "step": 40890 + }, + { + "epoch": 4.73, + "learning_rate": 1.0954471920499193e-06, + "loss": 0.9037, + "step": 40900 + }, + { + "epoch": 4.73, + "learning_rate": 1.0908250519990757e-06, + "loss": 0.9093, + "step": 40910 + }, + { + "epoch": 4.73, + "learning_rate": 1.0862029119482322e-06, + "loss": 0.8286, + "step": 40920 + }, + { + "epoch": 4.73, + "learning_rate": 1.0815807718973886e-06, + "loss": 0.7253, + "step": 40930 + }, + { + "epoch": 4.73, + "learning_rate": 1.076958631846545e-06, + "loss": 0.659, + "step": 40940 + }, + { + "epoch": 4.73, + "learning_rate": 1.0723364917957015e-06, + "loss": 0.9496, + "step": 40950 + }, + { + "epoch": 4.73, + "learning_rate": 1.067714351744858e-06, + "loss": 1.036, + "step": 40960 + }, + { + "epoch": 4.73, + "learning_rate": 1.0630922116940144e-06, + "loss": 0.9976, + "step": 40970 + }, + { + "epoch": 4.74, + "learning_rate": 1.0584700716431708e-06, + "loss": 0.6983, + "step": 40980 + }, + { + "epoch": 4.74, + "learning_rate": 1.0538479315923273e-06, + "loss": 0.8223, + "step": 40990 + }, + { + "epoch": 4.74, + "learning_rate": 1.049225791541484e-06, + "loss": 0.9578, + "step": 41000 + }, + { + "epoch": 4.74, + "learning_rate": 1.0446036514906402e-06, + "loss": 0.8982, + "step": 41010 + }, + { + "epoch": 4.74, + "learning_rate": 1.0399815114397966e-06, + "loss": 0.9461, + "step": 41020 + }, + { + "epoch": 4.74, + "learning_rate": 1.035359371388953e-06, + "loss": 0.7597, + "step": 41030 + }, + { + "epoch": 4.74, + "learning_rate": 1.0307372313381097e-06, + "loss": 0.8229, + "step": 41040 + }, + { + "epoch": 4.74, + "learning_rate": 1.0261150912872662e-06, + "loss": 0.7196, + "step": 41050 + }, + { + "epoch": 4.74, + "learning_rate": 1.0214929512364226e-06, + "loss": 0.6362, + "step": 41060 + }, + { + "epoch": 4.75, + "learning_rate": 1.016870811185579e-06, + "loss": 0.8454, + "step": 41070 + }, + { + "epoch": 4.75, + "learning_rate": 1.0122486711347355e-06, + "loss": 0.8263, + "step": 41080 + }, + { + "epoch": 4.75, + "learning_rate": 1.007626531083892e-06, + "loss": 0.7458, + "step": 41090 + }, + { + "epoch": 4.75, + "learning_rate": 1.0030043910330484e-06, + "loss": 0.9175, + "step": 41100 + }, + { + "epoch": 4.75, + "learning_rate": 9.983822509822048e-07, + "loss": 0.8472, + "step": 41110 + }, + { + "epoch": 4.75, + "learning_rate": 9.937601109313613e-07, + "loss": 0.8031, + "step": 41120 + }, + { + "epoch": 4.75, + "learning_rate": 9.891379708805177e-07, + "loss": 0.8077, + "step": 41130 + }, + { + "epoch": 4.75, + "learning_rate": 9.845158308296744e-07, + "loss": 0.9741, + "step": 41140 + }, + { + "epoch": 4.76, + "learning_rate": 9.798936907788306e-07, + "loss": 0.8479, + "step": 41150 + }, + { + "epoch": 4.76, + "learning_rate": 9.75271550727987e-07, + "loss": 0.7406, + "step": 41160 + }, + { + "epoch": 4.76, + "learning_rate": 9.706494106771435e-07, + "loss": 0.6997, + "step": 41170 + }, + { + "epoch": 4.76, + "learning_rate": 9.660272706263002e-07, + "loss": 0.9546, + "step": 41180 + }, + { + "epoch": 4.76, + "learning_rate": 9.614051305754566e-07, + "loss": 0.8618, + "step": 41190 + }, + { + "epoch": 4.76, + "learning_rate": 9.56782990524613e-07, + "loss": 0.8183, + "step": 41200 + }, + { + "epoch": 4.76, + "learning_rate": 9.521608504737695e-07, + "loss": 0.7402, + "step": 41210 + }, + { + "epoch": 4.76, + "learning_rate": 9.475387104229258e-07, + "loss": 0.9857, + "step": 41220 + }, + { + "epoch": 4.76, + "learning_rate": 9.429165703720823e-07, + "loss": 0.8468, + "step": 41230 + }, + { + "epoch": 4.77, + "learning_rate": 9.382944303212388e-07, + "loss": 0.7985, + "step": 41240 + }, + { + "epoch": 4.77, + "learning_rate": 9.336722902703953e-07, + "loss": 0.6779, + "step": 41250 + }, + { + "epoch": 4.77, + "learning_rate": 9.290501502195517e-07, + "loss": 0.8421, + "step": 41260 + }, + { + "epoch": 4.77, + "learning_rate": 9.244280101687083e-07, + "loss": 0.7356, + "step": 41270 + }, + { + "epoch": 4.77, + "learning_rate": 9.198058701178647e-07, + "loss": 0.7185, + "step": 41280 + }, + { + "epoch": 4.77, + "learning_rate": 9.151837300670211e-07, + "loss": 0.8265, + "step": 41290 + }, + { + "epoch": 4.77, + "learning_rate": 9.105615900161775e-07, + "loss": 0.7589, + "step": 41300 + }, + { + "epoch": 4.77, + "learning_rate": 9.05939449965334e-07, + "loss": 0.7489, + "step": 41310 + }, + { + "epoch": 4.77, + "learning_rate": 9.013173099144905e-07, + "loss": 0.8537, + "step": 41320 + }, + { + "epoch": 4.78, + "learning_rate": 8.966951698636469e-07, + "loss": 0.9229, + "step": 41330 + }, + { + "epoch": 4.78, + "learning_rate": 8.920730298128035e-07, + "loss": 1.038, + "step": 41340 + }, + { + "epoch": 4.78, + "learning_rate": 8.874508897619599e-07, + "loss": 0.7859, + "step": 41350 + }, + { + "epoch": 4.78, + "learning_rate": 8.828287497111163e-07, + "loss": 0.6604, + "step": 41360 + }, + { + "epoch": 4.78, + "learning_rate": 8.782066096602727e-07, + "loss": 0.6185, + "step": 41370 + }, + { + "epoch": 4.78, + "learning_rate": 8.735844696094292e-07, + "loss": 1.1035, + "step": 41380 + }, + { + "epoch": 4.78, + "learning_rate": 8.689623295585857e-07, + "loss": 0.8818, + "step": 41390 + }, + { + "epoch": 4.78, + "learning_rate": 8.643401895077422e-07, + "loss": 0.635, + "step": 41400 + }, + { + "epoch": 4.79, + "learning_rate": 8.597180494568986e-07, + "loss": 1.0335, + "step": 41410 + }, + { + "epoch": 4.79, + "learning_rate": 8.550959094060552e-07, + "loss": 0.7906, + "step": 41420 + }, + { + "epoch": 4.79, + "learning_rate": 8.504737693552115e-07, + "loss": 0.7634, + "step": 41430 + }, + { + "epoch": 4.79, + "learning_rate": 8.45851629304368e-07, + "loss": 0.6991, + "step": 41440 + }, + { + "epoch": 4.79, + "learning_rate": 8.412294892535244e-07, + "loss": 0.7547, + "step": 41450 + }, + { + "epoch": 4.79, + "learning_rate": 8.366073492026809e-07, + "loss": 0.8949, + "step": 41460 + }, + { + "epoch": 4.79, + "learning_rate": 8.319852091518374e-07, + "loss": 0.7047, + "step": 41470 + }, + { + "epoch": 4.79, + "learning_rate": 8.273630691009938e-07, + "loss": 0.8287, + "step": 41480 + }, + { + "epoch": 4.79, + "learning_rate": 8.227409290501504e-07, + "loss": 0.8802, + "step": 41490 + }, + { + "epoch": 4.8, + "learning_rate": 8.181187889993067e-07, + "loss": 0.8211, + "step": 41500 + }, + { + "epoch": 4.8, + "learning_rate": 8.134966489484632e-07, + "loss": 0.7476, + "step": 41510 + }, + { + "epoch": 4.8, + "learning_rate": 8.088745088976196e-07, + "loss": 0.5697, + "step": 41520 + }, + { + "epoch": 4.8, + "learning_rate": 8.042523688467762e-07, + "loss": 0.6267, + "step": 41530 + }, + { + "epoch": 4.8, + "learning_rate": 7.996302287959326e-07, + "loss": 0.6687, + "step": 41540 + }, + { + "epoch": 4.8, + "learning_rate": 7.950080887450891e-07, + "loss": 0.6749, + "step": 41550 + }, + { + "epoch": 4.8, + "learning_rate": 7.903859486942456e-07, + "loss": 0.9505, + "step": 41560 + }, + { + "epoch": 4.8, + "learning_rate": 7.85763808643402e-07, + "loss": 1.1076, + "step": 41570 + }, + { + "epoch": 4.8, + "learning_rate": 7.811416685925584e-07, + "loss": 0.8154, + "step": 41580 + }, + { + "epoch": 4.81, + "learning_rate": 7.765195285417148e-07, + "loss": 0.7719, + "step": 41590 + }, + { + "epoch": 4.81, + "learning_rate": 7.718973884908714e-07, + "loss": 0.6438, + "step": 41600 + }, + { + "epoch": 4.81, + "learning_rate": 7.672752484400278e-07, + "loss": 0.7093, + "step": 41610 + }, + { + "epoch": 4.81, + "learning_rate": 7.626531083891843e-07, + "loss": 0.7584, + "step": 41620 + }, + { + "epoch": 4.81, + "learning_rate": 7.580309683383407e-07, + "loss": 0.8208, + "step": 41630 + }, + { + "epoch": 4.81, + "learning_rate": 7.534088282874971e-07, + "loss": 0.7233, + "step": 41640 + }, + { + "epoch": 4.81, + "learning_rate": 7.487866882366536e-07, + "loss": 0.7593, + "step": 41650 + }, + { + "epoch": 4.81, + "learning_rate": 7.441645481858101e-07, + "loss": 0.6811, + "step": 41660 + }, + { + "epoch": 4.82, + "learning_rate": 7.395424081349665e-07, + "loss": 0.8348, + "step": 41670 + }, + { + "epoch": 4.82, + "learning_rate": 7.349202680841231e-07, + "loss": 0.8877, + "step": 41680 + }, + { + "epoch": 4.82, + "learning_rate": 7.302981280332795e-07, + "loss": 0.6969, + "step": 41690 + }, + { + "epoch": 4.82, + "learning_rate": 7.25675987982436e-07, + "loss": 0.6676, + "step": 41700 + }, + { + "epoch": 4.82, + "learning_rate": 7.210538479315923e-07, + "loss": 0.7548, + "step": 41710 + }, + { + "epoch": 4.82, + "learning_rate": 7.164317078807488e-07, + "loss": 0.9627, + "step": 41720 + }, + { + "epoch": 4.82, + "learning_rate": 7.118095678299053e-07, + "loss": 0.8813, + "step": 41730 + }, + { + "epoch": 4.82, + "learning_rate": 7.071874277790617e-07, + "loss": 0.9023, + "step": 41740 + }, + { + "epoch": 4.82, + "learning_rate": 7.025652877282183e-07, + "loss": 0.8035, + "step": 41750 + }, + { + "epoch": 4.83, + "learning_rate": 6.979431476773747e-07, + "loss": 0.882, + "step": 41760 + }, + { + "epoch": 4.83, + "learning_rate": 6.933210076265312e-07, + "loss": 0.7534, + "step": 41770 + }, + { + "epoch": 4.83, + "learning_rate": 6.886988675756875e-07, + "loss": 0.7041, + "step": 41780 + }, + { + "epoch": 4.83, + "learning_rate": 6.840767275248441e-07, + "loss": 0.7689, + "step": 41790 + }, + { + "epoch": 4.83, + "learning_rate": 6.794545874740005e-07, + "loss": 0.6684, + "step": 41800 + }, + { + "epoch": 4.83, + "learning_rate": 6.74832447423157e-07, + "loss": 0.824, + "step": 41810 + }, + { + "epoch": 4.83, + "learning_rate": 6.702103073723135e-07, + "loss": 0.9621, + "step": 41820 + }, + { + "epoch": 4.83, + "learning_rate": 6.6558816732147e-07, + "loss": 0.7783, + "step": 41830 + }, + { + "epoch": 4.83, + "learning_rate": 6.609660272706264e-07, + "loss": 1.1654, + "step": 41840 + }, + { + "epoch": 4.84, + "learning_rate": 6.563438872197827e-07, + "loss": 0.7988, + "step": 41850 + }, + { + "epoch": 4.84, + "learning_rate": 6.517217471689393e-07, + "loss": 0.9677, + "step": 41860 + }, + { + "epoch": 4.84, + "learning_rate": 6.470996071180957e-07, + "loss": 0.7021, + "step": 41870 + }, + { + "epoch": 4.84, + "learning_rate": 6.424774670672522e-07, + "loss": 0.6715, + "step": 41880 + }, + { + "epoch": 4.84, + "learning_rate": 6.378553270164086e-07, + "loss": 0.7793, + "step": 41890 + }, + { + "epoch": 4.84, + "learning_rate": 6.332331869655652e-07, + "loss": 0.616, + "step": 41900 + }, + { + "epoch": 4.84, + "learning_rate": 6.286110469147216e-07, + "loss": 0.8431, + "step": 41910 + }, + { + "epoch": 4.84, + "learning_rate": 6.239889068638781e-07, + "loss": 0.8945, + "step": 41920 + }, + { + "epoch": 4.85, + "learning_rate": 6.193667668130344e-07, + "loss": 0.8388, + "step": 41930 + }, + { + "epoch": 4.85, + "learning_rate": 6.14744626762191e-07, + "loss": 0.7603, + "step": 41940 + }, + { + "epoch": 4.85, + "learning_rate": 6.101224867113474e-07, + "loss": 0.683, + "step": 41950 + }, + { + "epoch": 4.85, + "learning_rate": 6.055003466605039e-07, + "loss": 0.7064, + "step": 41960 + }, + { + "epoch": 4.85, + "learning_rate": 6.008782066096603e-07, + "loss": 0.8207, + "step": 41970 + }, + { + "epoch": 4.85, + "learning_rate": 5.962560665588167e-07, + "loss": 0.8594, + "step": 41980 + }, + { + "epoch": 4.85, + "learning_rate": 5.916339265079733e-07, + "loss": 0.8947, + "step": 41990 + }, + { + "epoch": 4.85, + "learning_rate": 5.870117864571296e-07, + "loss": 0.8772, + "step": 42000 + }, + { + "epoch": 4.85, + "learning_rate": 5.823896464062862e-07, + "loss": 0.8328, + "step": 42010 + }, + { + "epoch": 4.86, + "learning_rate": 5.777675063554426e-07, + "loss": 0.7813, + "step": 42020 + }, + { + "epoch": 4.86, + "learning_rate": 5.731453663045991e-07, + "loss": 0.7217, + "step": 42030 + }, + { + "epoch": 4.86, + "learning_rate": 5.685232262537555e-07, + "loss": 0.8375, + "step": 42040 + }, + { + "epoch": 4.86, + "learning_rate": 5.63901086202912e-07, + "loss": 0.8941, + "step": 42050 + }, + { + "epoch": 4.86, + "learning_rate": 5.592789461520685e-07, + "loss": 0.918, + "step": 42060 + }, + { + "epoch": 4.86, + "learning_rate": 5.546568061012249e-07, + "loss": 0.8044, + "step": 42070 + }, + { + "epoch": 4.86, + "learning_rate": 5.500346660503814e-07, + "loss": 0.7943, + "step": 42080 + }, + { + "epoch": 4.86, + "learning_rate": 5.454125259995379e-07, + "loss": 0.7427, + "step": 42090 + }, + { + "epoch": 4.86, + "learning_rate": 5.407903859486943e-07, + "loss": 0.8255, + "step": 42100 + }, + { + "epoch": 4.87, + "learning_rate": 5.361682458978507e-07, + "loss": 0.8548, + "step": 42110 + }, + { + "epoch": 4.87, + "learning_rate": 5.315461058470072e-07, + "loss": 0.6372, + "step": 42120 + }, + { + "epoch": 4.87, + "learning_rate": 5.269239657961636e-07, + "loss": 0.7794, + "step": 42130 + }, + { + "epoch": 4.87, + "learning_rate": 5.223018257453201e-07, + "loss": 0.9804, + "step": 42140 + }, + { + "epoch": 4.87, + "learning_rate": 5.176796856944765e-07, + "loss": 0.8948, + "step": 42150 + }, + { + "epoch": 4.87, + "learning_rate": 5.130575456436331e-07, + "loss": 0.7771, + "step": 42160 + }, + { + "epoch": 4.87, + "learning_rate": 5.084354055927895e-07, + "loss": 0.8642, + "step": 42170 + }, + { + "epoch": 4.87, + "learning_rate": 5.03813265541946e-07, + "loss": 0.7998, + "step": 42180 + }, + { + "epoch": 4.88, + "learning_rate": 4.991911254911024e-07, + "loss": 0.6526, + "step": 42190 + }, + { + "epoch": 4.88, + "learning_rate": 4.945689854402589e-07, + "loss": 0.6169, + "step": 42200 + }, + { + "epoch": 4.88, + "learning_rate": 4.899468453894153e-07, + "loss": 0.7735, + "step": 42210 + }, + { + "epoch": 4.88, + "learning_rate": 4.853247053385717e-07, + "loss": 0.9115, + "step": 42220 + }, + { + "epoch": 4.88, + "learning_rate": 4.807025652877283e-07, + "loss": 0.917, + "step": 42230 + }, + { + "epoch": 4.88, + "learning_rate": 4.7608042523688475e-07, + "loss": 0.9388, + "step": 42240 + }, + { + "epoch": 4.88, + "learning_rate": 4.7145828518604114e-07, + "loss": 0.8131, + "step": 42250 + }, + { + "epoch": 4.88, + "learning_rate": 4.6683614513519764e-07, + "loss": 1.0282, + "step": 42260 + }, + { + "epoch": 4.88, + "learning_rate": 4.6221400508435414e-07, + "loss": 0.9411, + "step": 42270 + }, + { + "epoch": 4.89, + "learning_rate": 4.5759186503351053e-07, + "loss": 0.938, + "step": 42280 + }, + { + "epoch": 4.89, + "learning_rate": 4.52969724982667e-07, + "loss": 0.9582, + "step": 42290 + }, + { + "epoch": 4.89, + "learning_rate": 4.4834758493182347e-07, + "loss": 0.741, + "step": 42300 + }, + { + "epoch": 4.89, + "learning_rate": 4.4372544488097997e-07, + "loss": 0.9183, + "step": 42310 + }, + { + "epoch": 4.89, + "learning_rate": 4.3910330483013636e-07, + "loss": 0.7874, + "step": 42320 + }, + { + "epoch": 4.89, + "learning_rate": 4.3448116477929286e-07, + "loss": 0.8563, + "step": 42330 + }, + { + "epoch": 4.89, + "learning_rate": 4.298590247284493e-07, + "loss": 0.7968, + "step": 42340 + }, + { + "epoch": 4.89, + "learning_rate": 4.2523688467760575e-07, + "loss": 0.9793, + "step": 42350 + }, + { + "epoch": 4.89, + "learning_rate": 4.206147446267622e-07, + "loss": 0.9982, + "step": 42360 + }, + { + "epoch": 4.9, + "learning_rate": 4.159926045759187e-07, + "loss": 0.7095, + "step": 42370 + }, + { + "epoch": 4.9, + "learning_rate": 4.113704645250752e-07, + "loss": 0.9736, + "step": 42380 + }, + { + "epoch": 4.9, + "learning_rate": 4.067483244742316e-07, + "loss": 0.8531, + "step": 42390 + }, + { + "epoch": 4.9, + "learning_rate": 4.021261844233881e-07, + "loss": 0.8678, + "step": 42400 + }, + { + "epoch": 4.9, + "learning_rate": 3.9750404437254453e-07, + "loss": 0.7943, + "step": 42410 + }, + { + "epoch": 4.9, + "learning_rate": 3.92881904321701e-07, + "loss": 0.7993, + "step": 42420 + }, + { + "epoch": 4.9, + "learning_rate": 3.882597642708574e-07, + "loss": 0.9618, + "step": 42430 + }, + { + "epoch": 4.9, + "learning_rate": 3.836376242200139e-07, + "loss": 0.7184, + "step": 42440 + }, + { + "epoch": 4.91, + "learning_rate": 3.7901548416917036e-07, + "loss": 0.7651, + "step": 42450 + }, + { + "epoch": 4.91, + "learning_rate": 3.743933441183268e-07, + "loss": 0.7157, + "step": 42460 + }, + { + "epoch": 4.91, + "learning_rate": 3.6977120406748326e-07, + "loss": 0.7871, + "step": 42470 + }, + { + "epoch": 4.91, + "learning_rate": 3.6514906401663975e-07, + "loss": 0.7309, + "step": 42480 + }, + { + "epoch": 4.91, + "learning_rate": 3.6052692396579615e-07, + "loss": 0.9873, + "step": 42490 + }, + { + "epoch": 4.91, + "learning_rate": 3.5590478391495264e-07, + "loss": 0.6802, + "step": 42500 + }, + { + "epoch": 4.91, + "learning_rate": 3.5128264386410914e-07, + "loss": 0.8875, + "step": 42510 + }, + { + "epoch": 4.91, + "learning_rate": 3.466605038132656e-07, + "loss": 0.9746, + "step": 42520 + }, + { + "epoch": 4.91, + "learning_rate": 3.4203836376242203e-07, + "loss": 0.798, + "step": 42530 + }, + { + "epoch": 4.92, + "learning_rate": 3.374162237115785e-07, + "loss": 0.879, + "step": 42540 + }, + { + "epoch": 4.92, + "learning_rate": 3.32794083660735e-07, + "loss": 0.8701, + "step": 42550 + }, + { + "epoch": 4.92, + "learning_rate": 3.2817194360989137e-07, + "loss": 0.6338, + "step": 42560 + }, + { + "epoch": 4.92, + "learning_rate": 3.2354980355904787e-07, + "loss": 0.7981, + "step": 42570 + }, + { + "epoch": 4.92, + "learning_rate": 3.189276635082043e-07, + "loss": 0.789, + "step": 42580 + }, + { + "epoch": 4.92, + "learning_rate": 3.143055234573608e-07, + "loss": 0.8245, + "step": 42590 + }, + { + "epoch": 4.92, + "learning_rate": 3.096833834065172e-07, + "loss": 0.8833, + "step": 42600 + }, + { + "epoch": 4.92, + "learning_rate": 3.050612433556737e-07, + "loss": 0.6714, + "step": 42610 + }, + { + "epoch": 4.92, + "learning_rate": 3.0043910330483015e-07, + "loss": 0.9324, + "step": 42620 + }, + { + "epoch": 4.93, + "learning_rate": 2.9581696325398665e-07, + "loss": 0.9003, + "step": 42630 + }, + { + "epoch": 4.93, + "learning_rate": 2.911948232031431e-07, + "loss": 0.8213, + "step": 42640 + }, + { + "epoch": 4.93, + "learning_rate": 2.8657268315229954e-07, + "loss": 1.2601, + "step": 42650 + }, + { + "epoch": 4.93, + "learning_rate": 2.81950543101456e-07, + "loss": 0.9313, + "step": 42660 + }, + { + "epoch": 4.93, + "learning_rate": 2.7732840305061243e-07, + "loss": 0.82, + "step": 42670 + }, + { + "epoch": 4.93, + "learning_rate": 2.7270626299976893e-07, + "loss": 0.8705, + "step": 42680 + }, + { + "epoch": 4.93, + "learning_rate": 2.6808412294892537e-07, + "loss": 1.1823, + "step": 42690 + }, + { + "epoch": 4.93, + "learning_rate": 2.634619828980818e-07, + "loss": 0.7676, + "step": 42700 + }, + { + "epoch": 4.94, + "learning_rate": 2.5883984284723826e-07, + "loss": 0.9706, + "step": 42710 + }, + { + "epoch": 4.94, + "learning_rate": 2.5421770279639476e-07, + "loss": 0.9443, + "step": 42720 + }, + { + "epoch": 4.94, + "learning_rate": 2.495955627455512e-07, + "loss": 0.706, + "step": 42730 + }, + { + "epoch": 4.94, + "learning_rate": 2.4497342269470765e-07, + "loss": 0.8233, + "step": 42740 + }, + { + "epoch": 4.94, + "learning_rate": 2.4035128264386415e-07, + "loss": 0.737, + "step": 42750 + }, + { + "epoch": 4.94, + "learning_rate": 2.3572914259302057e-07, + "loss": 0.8844, + "step": 42760 + }, + { + "epoch": 4.94, + "learning_rate": 2.3110700254217707e-07, + "loss": 0.8567, + "step": 42770 + }, + { + "epoch": 4.94, + "learning_rate": 2.264848624913335e-07, + "loss": 0.6255, + "step": 42780 + }, + { + "epoch": 4.94, + "learning_rate": 2.2186272244048999e-07, + "loss": 0.8046, + "step": 42790 + }, + { + "epoch": 4.95, + "learning_rate": 2.1724058238964643e-07, + "loss": 1.0321, + "step": 42800 + }, + { + "epoch": 4.95, + "learning_rate": 2.1261844233880288e-07, + "loss": 0.9522, + "step": 42810 + }, + { + "epoch": 4.95, + "learning_rate": 2.0799630228795935e-07, + "loss": 0.7474, + "step": 42820 + }, + { + "epoch": 4.95, + "learning_rate": 2.033741622371158e-07, + "loss": 0.9196, + "step": 42830 + }, + { + "epoch": 4.95, + "learning_rate": 1.9875202218627227e-07, + "loss": 0.6466, + "step": 42840 + }, + { + "epoch": 4.95, + "learning_rate": 1.941298821354287e-07, + "loss": 0.7211, + "step": 42850 + }, + { + "epoch": 4.95, + "learning_rate": 1.8950774208458518e-07, + "loss": 0.8246, + "step": 42860 + }, + { + "epoch": 4.95, + "learning_rate": 1.8488560203374163e-07, + "loss": 0.9331, + "step": 42870 + }, + { + "epoch": 4.95, + "learning_rate": 1.8026346198289807e-07, + "loss": 0.8622, + "step": 42880 + }, + { + "epoch": 4.96, + "learning_rate": 1.7564132193205457e-07, + "loss": 0.7557, + "step": 42890 + }, + { + "epoch": 4.96, + "learning_rate": 1.7101918188121102e-07, + "loss": 0.903, + "step": 42900 + }, + { + "epoch": 4.96, + "learning_rate": 1.663970418303675e-07, + "loss": 0.7853, + "step": 42910 + }, + { + "epoch": 4.96, + "learning_rate": 1.6177490177952393e-07, + "loss": 0.9762, + "step": 42920 + }, + { + "epoch": 4.96, + "learning_rate": 1.571527617286804e-07, + "loss": 0.8818, + "step": 42930 + }, + { + "epoch": 4.96, + "learning_rate": 1.5253062167783685e-07, + "loss": 0.8462, + "step": 42940 + }, + { + "epoch": 4.96, + "learning_rate": 1.4790848162699332e-07, + "loss": 0.8265, + "step": 42950 + }, + { + "epoch": 4.96, + "learning_rate": 1.4328634157614977e-07, + "loss": 0.833, + "step": 42960 + }, + { + "epoch": 4.97, + "learning_rate": 1.3866420152530621e-07, + "loss": 0.7779, + "step": 42970 + }, + { + "epoch": 4.97, + "learning_rate": 1.3404206147446269e-07, + "loss": 0.6876, + "step": 42980 + }, + { + "epoch": 4.97, + "learning_rate": 1.2941992142361913e-07, + "loss": 0.9143, + "step": 42990 + }, + { + "epoch": 4.97, + "learning_rate": 1.247977813727756e-07, + "loss": 0.8746, + "step": 43000 + }, + { + "epoch": 4.97, + "learning_rate": 1.2017564132193208e-07, + "loss": 0.7074, + "step": 43010 + }, + { + "epoch": 4.97, + "learning_rate": 1.1555350127108853e-07, + "loss": 1.0225, + "step": 43020 + }, + { + "epoch": 4.97, + "learning_rate": 1.1093136122024499e-07, + "loss": 0.7904, + "step": 43030 + }, + { + "epoch": 4.97, + "learning_rate": 1.0630922116940144e-07, + "loss": 0.7089, + "step": 43040 + }, + { + "epoch": 4.97, + "learning_rate": 1.016870811185579e-07, + "loss": 0.6949, + "step": 43050 + }, + { + "epoch": 4.98, + "learning_rate": 9.706494106771436e-08, + "loss": 0.9937, + "step": 43060 + }, + { + "epoch": 4.98, + "learning_rate": 9.244280101687081e-08, + "loss": 1.0286, + "step": 43070 + }, + { + "epoch": 4.98, + "learning_rate": 8.782066096602729e-08, + "loss": 0.7941, + "step": 43080 + }, + { + "epoch": 4.98, + "learning_rate": 8.319852091518374e-08, + "loss": 0.6805, + "step": 43090 + }, + { + "epoch": 4.98, + "learning_rate": 7.85763808643402e-08, + "loss": 0.7183, + "step": 43100 + }, + { + "epoch": 4.98, + "learning_rate": 7.395424081349666e-08, + "loss": 0.7769, + "step": 43110 + }, + { + "epoch": 4.98, + "learning_rate": 6.933210076265311e-08, + "loss": 0.8894, + "step": 43120 + }, + { + "epoch": 4.98, + "learning_rate": 6.470996071180957e-08, + "loss": 1.0142, + "step": 43130 + }, + { + "epoch": 4.98, + "learning_rate": 6.008782066096604e-08, + "loss": 0.8407, + "step": 43140 + }, + { + "epoch": 4.99, + "learning_rate": 5.5465680610122496e-08, + "loss": 0.7511, + "step": 43150 + }, + { + "epoch": 4.99, + "learning_rate": 5.084354055927895e-08, + "loss": 0.7445, + "step": 43160 + }, + { + "epoch": 4.99, + "learning_rate": 4.622140050843541e-08, + "loss": 0.9687, + "step": 43170 + }, + { + "epoch": 4.99, + "learning_rate": 4.159926045759187e-08, + "loss": 0.8512, + "step": 43180 + }, + { + "epoch": 4.99, + "learning_rate": 3.697712040674833e-08, + "loss": 0.9349, + "step": 43190 + }, + { + "epoch": 4.99, + "learning_rate": 3.235498035590478e-08, + "loss": 0.7318, + "step": 43200 + }, + { + "epoch": 4.99, + "learning_rate": 2.7732840305061248e-08, + "loss": 0.9102, + "step": 43210 + }, + { + "epoch": 4.99, + "learning_rate": 2.3110700254217703e-08, + "loss": 0.9605, + "step": 43220 + }, + { + "epoch": 5.0, + "learning_rate": 1.8488560203374165e-08, + "loss": 0.7449, + "step": 43230 + }, + { + "epoch": 5.0, + "learning_rate": 1.3866420152530624e-08, + "loss": 0.8021, + "step": 43240 + }, + { + "epoch": 5.0, + "learning_rate": 9.244280101687083e-09, + "loss": 0.6975, + "step": 43250 + }, + { + "epoch": 5.0, + "learning_rate": 4.622140050843541e-09, + "loss": 0.9352, + "step": 43260 + }, + { + "epoch": 5.0, + "learning_rate": 0.0, + "loss": 0.9557, + "step": 43270 + }, + { + "epoch": 5.0, + "eval_accuracy": 0.7140050748956372, + "eval_loss": 0.8022026419639587, + "eval_runtime": 374.0744, + "eval_samples_per_second": 32.659, + "eval_steps_per_second": 4.085, + "step": 43270 + }, + { + "epoch": 5.0, + "step": 43270, + "total_flos": 8.699718760261724e+18, + "train_loss": 0.9448149496615829, + "train_runtime": 12156.2703, + "train_samples_per_second": 28.474, + "train_steps_per_second": 3.559 + } + ], + "max_steps": 43270, + "num_train_epochs": 5, + "total_flos": 8.699718760261724e+18, + "trial_name": null, + "trial_params": null +}