diff --git "a/checkpoint-600/trainer_state.json" "b/checkpoint-600/trainer_state.json" --- "a/checkpoint-600/trainer_state.json" +++ "b/checkpoint-600/trainer_state.json" @@ -1,7 +1,7 @@ { "best_metric": null, "best_model_checkpoint": null, - "epoch": 12.140373063547266, + "epoch": 6.77846425419241, "eval_steps": 500, "global_step": 600, "is_hyper_param_search": false, @@ -9,3611 +9,3611 @@ "is_world_process_zero": true, "log_history": [ { - "epoch": 0.02, - "learning_rate": 0.00019987244897959184, - "loss": 3.2215, + "epoch": 0.01, + "learning_rate": 0.00019985795454545454, + "loss": 3.3254, "step": 1 }, { - "epoch": 0.04, - "learning_rate": 0.00019974489795918367, - "loss": 2.8365, + "epoch": 0.02, + "learning_rate": 0.0001997159090909091, + "loss": 3.1222, "step": 2 }, { - "epoch": 0.06, - "learning_rate": 0.00019961734693877553, - "loss": 2.602, + "epoch": 0.03, + "learning_rate": 0.00019957386363636366, + "loss": 2.9506, "step": 3 }, { - "epoch": 0.08, - "learning_rate": 0.00019948979591836736, - "loss": 2.4196, + "epoch": 0.05, + "learning_rate": 0.0001994318181818182, + "loss": 2.8459, "step": 4 }, { - "epoch": 0.1, - "learning_rate": 0.0001993622448979592, - "loss": 2.2574, + "epoch": 0.06, + "learning_rate": 0.00019928977272727275, + "loss": 2.7277, "step": 5 }, { - "epoch": 0.12, - "learning_rate": 0.00019923469387755102, - "loss": 2.2239, + "epoch": 0.07, + "learning_rate": 0.00019914772727272728, + "loss": 2.6184, "step": 6 }, { - "epoch": 0.14, - "learning_rate": 0.00019910714285714288, - "loss": 2.1661, + "epoch": 0.08, + "learning_rate": 0.0001990056818181818, + "loss": 2.5151, "step": 7 }, { - "epoch": 0.16, - "learning_rate": 0.0001989795918367347, - "loss": 2.0987, + "epoch": 0.09, + "learning_rate": 0.00019886363636363637, + "loss": 2.4234, "step": 8 }, { - "epoch": 0.18, - "learning_rate": 0.00019885204081632654, - "loss": 2.015, + "epoch": 0.1, + "learning_rate": 0.00019872159090909093, + "loss": 2.3795, "step": 9 }, { - "epoch": 0.2, - "learning_rate": 0.00019872448979591837, - "loss": 1.9771, + "epoch": 0.11, + "learning_rate": 0.00019857954545454546, + "loss": 2.3629, "step": 10 }, { - "epoch": 0.22, - "learning_rate": 0.00019859693877551023, - "loss": 2.0271, + "epoch": 0.12, + "learning_rate": 0.00019843750000000002, + "loss": 2.3246, "step": 11 }, { - "epoch": 0.24, - "learning_rate": 0.00019846938775510203, - "loss": 1.9812, + "epoch": 0.14, + "learning_rate": 0.00019829545454545455, + "loss": 2.2274, "step": 12 }, { - "epoch": 0.26, - "learning_rate": 0.0001983418367346939, - "loss": 2.0834, + "epoch": 0.15, + "learning_rate": 0.00019815340909090908, + "loss": 2.2545, "step": 13 }, { - "epoch": 0.28, - "learning_rate": 0.00019821428571428572, - "loss": 1.9174, + "epoch": 0.16, + "learning_rate": 0.00019801136363636367, + "loss": 2.2814, "step": 14 }, { - "epoch": 0.3, - "learning_rate": 0.00019808673469387755, - "loss": 1.8409, + "epoch": 0.17, + "learning_rate": 0.0001978693181818182, + "loss": 2.2004, "step": 15 }, { - "epoch": 0.32, - "learning_rate": 0.00019795918367346938, - "loss": 1.929, + "epoch": 0.18, + "learning_rate": 0.00019772727272727273, + "loss": 2.1897, "step": 16 }, { - "epoch": 0.34, - "learning_rate": 0.00019783163265306124, - "loss": 2.0041, + "epoch": 0.19, + "learning_rate": 0.0001975852272727273, + "loss": 2.2214, "step": 17 }, { - "epoch": 0.36, - "learning_rate": 0.00019770408163265305, - "loss": 1.9385, + "epoch": 0.2, + "learning_rate": 0.00019744318181818182, + "loss": 2.2103, "step": 18 }, { - "epoch": 0.38, - "learning_rate": 0.0001975765306122449, - "loss": 1.9592, + "epoch": 0.21, + "learning_rate": 0.00019730113636363635, + "loss": 2.1747, "step": 19 }, { - "epoch": 0.4, - "learning_rate": 0.00019744897959183674, - "loss": 1.9701, + "epoch": 0.23, + "learning_rate": 0.00019715909090909094, + "loss": 2.2067, "step": 20 }, { - "epoch": 0.42, - "learning_rate": 0.0001973214285714286, - "loss": 1.9277, + "epoch": 0.24, + "learning_rate": 0.00019701704545454547, + "loss": 2.1944, "step": 21 }, { - "epoch": 0.45, - "learning_rate": 0.00019719387755102042, - "loss": 1.8394, + "epoch": 0.25, + "learning_rate": 0.000196875, + "loss": 2.2088, "step": 22 }, { - "epoch": 0.47, - "learning_rate": 0.00019706632653061226, - "loss": 1.8666, + "epoch": 0.26, + "learning_rate": 0.00019673295454545456, + "loss": 2.1786, "step": 23 }, { - "epoch": 0.49, - "learning_rate": 0.00019693877551020409, - "loss": 1.8997, + "epoch": 0.27, + "learning_rate": 0.0001965909090909091, + "loss": 2.1242, "step": 24 }, { - "epoch": 0.51, - "learning_rate": 0.00019681122448979592, - "loss": 1.9432, + "epoch": 0.28, + "learning_rate": 0.00019644886363636365, + "loss": 2.1233, "step": 25 }, { - "epoch": 0.53, - "learning_rate": 0.00019668367346938777, - "loss": 1.9137, + "epoch": 0.29, + "learning_rate": 0.0001963068181818182, + "loss": 2.1616, "step": 26 }, { - "epoch": 0.55, - "learning_rate": 0.0001965561224489796, - "loss": 1.905, + "epoch": 0.31, + "learning_rate": 0.00019616477272727274, + "loss": 2.1175, "step": 27 }, { - "epoch": 0.57, - "learning_rate": 0.00019642857142857144, - "loss": 1.8708, + "epoch": 0.32, + "learning_rate": 0.00019602272727272727, + "loss": 2.1242, "step": 28 }, { - "epoch": 0.59, - "learning_rate": 0.00019630102040816327, - "loss": 1.9097, + "epoch": 0.33, + "learning_rate": 0.00019588068181818183, + "loss": 2.186, "step": 29 }, { - "epoch": 0.61, - "learning_rate": 0.00019617346938775513, - "loss": 1.896, + "epoch": 0.34, + "learning_rate": 0.00019573863636363636, + "loss": 2.1319, "step": 30 }, { - "epoch": 0.63, - "learning_rate": 0.00019604591836734696, - "loss": 1.8834, + "epoch": 0.35, + "learning_rate": 0.00019559659090909092, + "loss": 2.1219, "step": 31 }, { - "epoch": 0.65, - "learning_rate": 0.0001959183673469388, - "loss": 1.8323, + "epoch": 0.36, + "learning_rate": 0.00019545454545454548, + "loss": 2.1094, "step": 32 }, { - "epoch": 0.67, - "learning_rate": 0.00019579081632653062, - "loss": 1.804, + "epoch": 0.37, + "learning_rate": 0.0001953125, + "loss": 2.1355, "step": 33 }, { - "epoch": 0.69, - "learning_rate": 0.00019566326530612248, - "loss": 1.8906, + "epoch": 0.38, + "learning_rate": 0.00019517045454545454, + "loss": 2.1231, "step": 34 }, { - "epoch": 0.71, - "learning_rate": 0.00019553571428571428, - "loss": 1.8693, + "epoch": 0.4, + "learning_rate": 0.0001950284090909091, + "loss": 2.1089, "step": 35 }, { - "epoch": 0.73, - "learning_rate": 0.00019540816326530614, - "loss": 1.9308, + "epoch": 0.41, + "learning_rate": 0.00019488636363636366, + "loss": 2.1329, "step": 36 }, { - "epoch": 0.75, - "learning_rate": 0.00019528061224489797, - "loss": 1.8082, + "epoch": 0.42, + "learning_rate": 0.0001947443181818182, + "loss": 2.1159, "step": 37 }, { - "epoch": 0.77, - "learning_rate": 0.0001951530612244898, - "loss": 1.848, + "epoch": 0.43, + "learning_rate": 0.00019460227272727275, + "loss": 2.1001, "step": 38 }, { - "epoch": 0.79, - "learning_rate": 0.00019502551020408163, - "loss": 1.8866, + "epoch": 0.44, + "learning_rate": 0.00019446022727272728, + "loss": 2.1084, "step": 39 }, { - "epoch": 0.81, - "learning_rate": 0.0001948979591836735, - "loss": 1.7844, + "epoch": 0.45, + "learning_rate": 0.0001943181818181818, + "loss": 2.1431, "step": 40 }, { - "epoch": 0.83, - "learning_rate": 0.0001947704081632653, - "loss": 1.8485, + "epoch": 0.46, + "learning_rate": 0.00019417613636363637, + "loss": 2.1111, "step": 41 }, { - "epoch": 0.85, - "learning_rate": 0.00019464285714285715, - "loss": 1.7917, + "epoch": 0.47, + "learning_rate": 0.00019403409090909093, + "loss": 2.1067, "step": 42 }, { - "epoch": 0.87, - "learning_rate": 0.00019451530612244898, - "loss": 1.7342, + "epoch": 0.49, + "learning_rate": 0.00019389204545454546, + "loss": 2.0974, "step": 43 }, { - "epoch": 0.89, - "learning_rate": 0.00019438775510204084, - "loss": 1.8479, + "epoch": 0.5, + "learning_rate": 0.00019375000000000002, + "loss": 2.1001, "step": 44 }, { - "epoch": 0.91, - "learning_rate": 0.00019426020408163267, - "loss": 1.8639, + "epoch": 0.51, + "learning_rate": 0.00019360795454545455, + "loss": 2.0721, "step": 45 }, { - "epoch": 0.93, - "learning_rate": 0.0001941326530612245, - "loss": 1.8166, + "epoch": 0.52, + "learning_rate": 0.00019346590909090908, + "loss": 2.0786, "step": 46 }, { - "epoch": 0.95, - "learning_rate": 0.00019400510204081633, - "loss": 1.7566, + "epoch": 0.53, + "learning_rate": 0.00019332386363636367, + "loss": 2.0882, "step": 47 }, { - "epoch": 0.97, - "learning_rate": 0.00019387755102040816, - "loss": 1.8071, + "epoch": 0.54, + "learning_rate": 0.0001931818181818182, + "loss": 2.083, "step": 48 }, { - "epoch": 0.99, - "learning_rate": 0.00019375000000000002, - "loss": 1.8612, + "epoch": 0.55, + "learning_rate": 0.00019303977272727273, + "loss": 2.1016, "step": 49 }, { - "epoch": 1.01, - "learning_rate": 0.00019362244897959185, - "loss": 1.7819, + "epoch": 0.56, + "learning_rate": 0.0001928977272727273, + "loss": 2.0844, "step": 50 }, { - "epoch": 1.03, - "learning_rate": 0.00019349489795918368, - "loss": 1.8647, + "epoch": 0.58, + "learning_rate": 0.00019275568181818182, + "loss": 2.0891, "step": 51 }, { - "epoch": 1.05, - "learning_rate": 0.0001933673469387755, - "loss": 1.8196, + "epoch": 0.59, + "learning_rate": 0.00019261363636363635, + "loss": 2.053, "step": 52 }, { - "epoch": 1.07, - "learning_rate": 0.00019323979591836737, - "loss": 1.8027, + "epoch": 0.6, + "learning_rate": 0.00019247159090909094, + "loss": 2.1013, "step": 53 }, { - "epoch": 1.09, - "learning_rate": 0.00019311224489795917, - "loss": 1.8927, + "epoch": 0.61, + "learning_rate": 0.00019232954545454547, + "loss": 2.127, "step": 54 }, { - "epoch": 1.11, - "learning_rate": 0.00019298469387755103, - "loss": 1.8481, + "epoch": 0.62, + "learning_rate": 0.0001921875, + "loss": 2.0909, "step": 55 }, { - "epoch": 1.13, - "learning_rate": 0.00019285714285714286, - "loss": 1.7781, + "epoch": 0.63, + "learning_rate": 0.00019204545454545456, + "loss": 2.1026, "step": 56 }, { - "epoch": 1.15, - "learning_rate": 0.00019272959183673472, - "loss": 1.8101, + "epoch": 0.64, + "learning_rate": 0.0001919034090909091, + "loss": 2.0689, "step": 57 }, { - "epoch": 1.17, - "learning_rate": 0.00019260204081632653, - "loss": 1.7257, + "epoch": 0.66, + "learning_rate": 0.00019176136363636365, + "loss": 2.0475, "step": 58 }, { - "epoch": 1.19, - "learning_rate": 0.00019247448979591838, - "loss": 1.8185, + "epoch": 0.67, + "learning_rate": 0.0001916193181818182, + "loss": 2.0645, "step": 59 }, { - "epoch": 1.21, - "learning_rate": 0.00019234693877551021, - "loss": 1.8557, + "epoch": 0.68, + "learning_rate": 0.00019147727272727274, + "loss": 2.0469, "step": 60 }, { - "epoch": 1.23, - "learning_rate": 0.00019221938775510204, - "loss": 1.7418, + "epoch": 0.69, + "learning_rate": 0.00019133522727272727, + "loss": 2.081, "step": 61 }, { - "epoch": 1.25, - "learning_rate": 0.00019209183673469388, - "loss": 1.6879, + "epoch": 0.7, + "learning_rate": 0.00019119318181818183, + "loss": 2.0682, "step": 62 }, { - "epoch": 1.27, - "learning_rate": 0.00019196428571428573, - "loss": 1.7651, + "epoch": 0.71, + "learning_rate": 0.00019105113636363636, + "loss": 2.0794, "step": 63 }, { - "epoch": 1.29, - "learning_rate": 0.00019183673469387756, - "loss": 1.7759, + "epoch": 0.72, + "learning_rate": 0.00019090909090909092, + "loss": 2.0218, "step": 64 }, { - "epoch": 1.32, - "learning_rate": 0.0001917091836734694, - "loss": 1.7691, + "epoch": 0.73, + "learning_rate": 0.00019076704545454548, + "loss": 2.0791, "step": 65 }, { - "epoch": 1.34, - "learning_rate": 0.00019158163265306123, - "loss": 1.7794, + "epoch": 0.75, + "learning_rate": 0.000190625, + "loss": 2.0506, "step": 66 }, { - "epoch": 1.36, - "learning_rate": 0.00019145408163265306, - "loss": 1.8152, + "epoch": 0.76, + "learning_rate": 0.00019048295454545454, + "loss": 2.0581, "step": 67 }, { - "epoch": 1.38, - "learning_rate": 0.00019132653061224492, - "loss": 1.8052, + "epoch": 0.77, + "learning_rate": 0.0001903409090909091, + "loss": 2.0614, "step": 68 }, { - "epoch": 1.4, - "learning_rate": 0.00019119897959183675, - "loss": 1.8054, + "epoch": 0.78, + "learning_rate": 0.00019019886363636366, + "loss": 2.0743, "step": 69 }, { - "epoch": 1.42, - "learning_rate": 0.00019107142857142858, - "loss": 1.8114, + "epoch": 0.79, + "learning_rate": 0.0001900568181818182, + "loss": 2.0934, "step": 70 }, { - "epoch": 1.44, - "learning_rate": 0.0001909438775510204, - "loss": 1.7749, + "epoch": 0.8, + "learning_rate": 0.00018991477272727275, + "loss": 2.0695, "step": 71 }, { - "epoch": 1.46, - "learning_rate": 0.00019081632653061227, - "loss": 1.777, + "epoch": 0.81, + "learning_rate": 0.00018977272727272728, + "loss": 2.0651, "step": 72 }, { - "epoch": 1.48, - "learning_rate": 0.0001906887755102041, - "loss": 1.7896, + "epoch": 0.82, + "learning_rate": 0.00018963068181818181, + "loss": 2.1002, "step": 73 }, { - "epoch": 1.5, - "learning_rate": 0.00019056122448979593, - "loss": 1.8335, + "epoch": 0.84, + "learning_rate": 0.00018948863636363637, + "loss": 2.0691, "step": 74 }, { - "epoch": 1.52, - "learning_rate": 0.00019043367346938776, - "loss": 1.8155, + "epoch": 0.85, + "learning_rate": 0.00018934659090909093, + "loss": 2.0596, "step": 75 }, { - "epoch": 1.54, - "learning_rate": 0.00019030612244897962, - "loss": 1.8224, + "epoch": 0.86, + "learning_rate": 0.00018920454545454546, + "loss": 2.0542, "step": 76 }, { - "epoch": 1.56, - "learning_rate": 0.00019017857142857142, - "loss": 1.7889, + "epoch": 0.87, + "learning_rate": 0.00018906250000000002, + "loss": 2.0543, "step": 77 }, { - "epoch": 1.58, - "learning_rate": 0.00019005102040816328, - "loss": 1.8866, + "epoch": 0.88, + "learning_rate": 0.00018892045454545455, + "loss": 2.0042, "step": 78 }, { - "epoch": 1.6, - "learning_rate": 0.0001899234693877551, - "loss": 1.8439, + "epoch": 0.89, + "learning_rate": 0.00018877840909090908, + "loss": 2.0072, "step": 79 }, { - "epoch": 1.62, - "learning_rate": 0.00018979591836734697, - "loss": 1.7906, + "epoch": 0.9, + "learning_rate": 0.00018863636363636364, + "loss": 2.0926, "step": 80 }, { - "epoch": 1.64, - "learning_rate": 0.00018966836734693877, - "loss": 1.8627, + "epoch": 0.92, + "learning_rate": 0.0001884943181818182, + "loss": 2.0015, "step": 81 }, { - "epoch": 1.66, - "learning_rate": 0.00018954081632653063, - "loss": 1.7497, + "epoch": 0.93, + "learning_rate": 0.00018835227272727273, + "loss": 2.0591, "step": 82 }, { - "epoch": 1.68, - "learning_rate": 0.00018941326530612246, - "loss": 1.7936, + "epoch": 0.94, + "learning_rate": 0.0001882102272727273, + "loss": 2.0522, "step": 83 }, { - "epoch": 1.7, - "learning_rate": 0.0001892857142857143, - "loss": 1.8341, + "epoch": 0.95, + "learning_rate": 0.00018806818181818182, + "loss": 2.0131, "step": 84 }, { - "epoch": 1.72, - "learning_rate": 0.00018915816326530612, - "loss": 1.7868, + "epoch": 0.96, + "learning_rate": 0.00018792613636363636, + "loss": 2.0572, "step": 85 }, { - "epoch": 1.74, - "learning_rate": 0.00018903061224489798, - "loss": 1.7493, + "epoch": 0.97, + "learning_rate": 0.00018778409090909091, + "loss": 2.0352, "step": 86 }, { - "epoch": 1.76, - "learning_rate": 0.0001889030612244898, - "loss": 1.7926, + "epoch": 0.98, + "learning_rate": 0.00018764204545454547, + "loss": 1.9937, "step": 87 }, { - "epoch": 1.78, - "learning_rate": 0.00018877551020408164, - "loss": 1.8278, + "epoch": 0.99, + "learning_rate": 0.0001875, + "loss": 2.0534, "step": 88 }, { - "epoch": 1.8, - "learning_rate": 0.00018864795918367347, - "loss": 1.7387, + "epoch": 1.01, + "learning_rate": 0.00018735795454545456, + "loss": 2.0151, "step": 89 }, { - "epoch": 1.82, - "learning_rate": 0.0001885204081632653, - "loss": 1.7669, + "epoch": 1.02, + "learning_rate": 0.0001872159090909091, + "loss": 2.0281, "step": 90 }, { - "epoch": 1.84, - "learning_rate": 0.00018839285714285716, - "loss": 1.7686, + "epoch": 1.03, + "learning_rate": 0.00018707386363636365, + "loss": 2.0582, "step": 91 }, { - "epoch": 1.86, - "learning_rate": 0.000188265306122449, - "loss": 1.7759, + "epoch": 1.04, + "learning_rate": 0.00018693181818181818, + "loss": 2.0173, "step": 92 }, { - "epoch": 1.88, - "learning_rate": 0.00018813775510204082, - "loss": 1.7016, + "epoch": 1.05, + "learning_rate": 0.00018678977272727274, + "loss": 2.0318, "step": 93 }, { - "epoch": 1.9, - "learning_rate": 0.00018801020408163265, - "loss": 1.8123, + "epoch": 1.06, + "learning_rate": 0.00018664772727272727, + "loss": 2.0747, "step": 94 }, { - "epoch": 1.92, - "learning_rate": 0.0001878826530612245, - "loss": 1.8315, + "epoch": 1.07, + "learning_rate": 0.00018650568181818183, + "loss": 2.0036, "step": 95 }, { - "epoch": 1.94, - "learning_rate": 0.00018775510204081634, - "loss": 1.7679, + "epoch": 1.08, + "learning_rate": 0.00018636363636363636, + "loss": 2.0215, "step": 96 }, { - "epoch": 1.96, - "learning_rate": 0.00018762755102040817, - "loss": 1.7874, + "epoch": 1.1, + "learning_rate": 0.00018622159090909092, + "loss": 2.0385, "step": 97 }, { - "epoch": 1.98, - "learning_rate": 0.0001875, - "loss": 1.8008, + "epoch": 1.11, + "learning_rate": 0.00018607954545454545, + "loss": 2.0247, "step": 98 }, { - "epoch": 2.0, - "learning_rate": 0.00018737244897959186, - "loss": 1.7177, + "epoch": 1.12, + "learning_rate": 0.0001859375, + "loss": 2.0075, "step": 99 }, { - "epoch": 2.02, - "learning_rate": 0.00018724489795918367, - "loss": 1.7272, + "epoch": 1.13, + "learning_rate": 0.00018579545454545454, + "loss": 2.0134, "step": 100 }, { - "epoch": 2.04, - "learning_rate": 0.00018711734693877552, - "loss": 1.7848, + "epoch": 1.14, + "learning_rate": 0.0001856534090909091, + "loss": 1.9908, "step": 101 }, { - "epoch": 2.06, - "learning_rate": 0.00018698979591836735, - "loss": 1.744, + "epoch": 1.15, + "learning_rate": 0.00018551136363636366, + "loss": 2.0048, "step": 102 }, { - "epoch": 2.08, - "learning_rate": 0.00018686224489795919, - "loss": 1.7005, + "epoch": 1.16, + "learning_rate": 0.0001853693181818182, + "loss": 1.9929, "step": 103 }, { - "epoch": 2.1, - "learning_rate": 0.00018673469387755102, - "loss": 1.8247, + "epoch": 1.17, + "learning_rate": 0.00018522727272727273, + "loss": 2.0545, "step": 104 }, { - "epoch": 2.12, - "learning_rate": 0.00018660714285714287, - "loss": 1.6855, + "epoch": 1.19, + "learning_rate": 0.00018508522727272728, + "loss": 2.0212, "step": 105 }, { - "epoch": 2.14, - "learning_rate": 0.0001864795918367347, - "loss": 1.7627, + "epoch": 1.2, + "learning_rate": 0.00018494318181818182, + "loss": 2.0154, "step": 106 }, { - "epoch": 2.17, - "learning_rate": 0.00018635204081632654, - "loss": 1.7564, + "epoch": 1.21, + "learning_rate": 0.00018480113636363637, + "loss": 1.988, "step": 107 }, { - "epoch": 2.19, - "learning_rate": 0.00018622448979591837, - "loss": 1.8237, + "epoch": 1.22, + "learning_rate": 0.00018465909090909093, + "loss": 2.004, "step": 108 }, { - "epoch": 2.21, - "learning_rate": 0.00018609693877551022, - "loss": 1.7421, + "epoch": 1.23, + "learning_rate": 0.00018451704545454546, + "loss": 1.9902, "step": 109 }, { - "epoch": 2.23, - "learning_rate": 0.00018596938775510206, - "loss": 1.7517, + "epoch": 1.24, + "learning_rate": 0.000184375, + "loss": 2.0044, "step": 110 }, { - "epoch": 2.25, - "learning_rate": 0.0001858418367346939, - "loss": 1.7515, + "epoch": 1.25, + "learning_rate": 0.00018423295454545455, + "loss": 2.028, "step": 111 }, { - "epoch": 2.27, - "learning_rate": 0.00018571428571428572, - "loss": 1.7842, + "epoch": 1.27, + "learning_rate": 0.00018409090909090909, + "loss": 1.975, "step": 112 }, { - "epoch": 2.29, - "learning_rate": 0.00018558673469387755, - "loss": 1.8001, + "epoch": 1.28, + "learning_rate": 0.00018394886363636364, + "loss": 1.9654, "step": 113 }, { - "epoch": 2.31, - "learning_rate": 0.0001854591836734694, - "loss": 1.7653, + "epoch": 1.29, + "learning_rate": 0.0001838068181818182, + "loss": 2.013, "step": 114 }, { - "epoch": 2.33, - "learning_rate": 0.00018533163265306124, - "loss": 1.694, + "epoch": 1.3, + "learning_rate": 0.00018366477272727273, + "loss": 1.9918, "step": 115 }, { - "epoch": 2.35, - "learning_rate": 0.00018520408163265307, - "loss": 1.7457, + "epoch": 1.31, + "learning_rate": 0.00018352272727272727, + "loss": 2.0028, "step": 116 }, { - "epoch": 2.37, - "learning_rate": 0.0001850765306122449, - "loss": 1.7899, + "epoch": 1.32, + "learning_rate": 0.00018338068181818182, + "loss": 1.9906, "step": 117 }, { - "epoch": 2.39, - "learning_rate": 0.00018494897959183676, - "loss": 1.7473, + "epoch": 1.33, + "learning_rate": 0.00018323863636363636, + "loss": 1.9781, "step": 118 }, { - "epoch": 2.41, - "learning_rate": 0.0001848214285714286, - "loss": 1.6639, + "epoch": 1.34, + "learning_rate": 0.00018309659090909091, + "loss": 1.994, "step": 119 }, { - "epoch": 2.43, - "learning_rate": 0.00018469387755102042, - "loss": 1.762, + "epoch": 1.36, + "learning_rate": 0.00018295454545454547, + "loss": 1.9732, "step": 120 }, { - "epoch": 2.45, - "learning_rate": 0.00018456632653061225, - "loss": 1.7378, + "epoch": 1.37, + "learning_rate": 0.0001828125, + "loss": 1.9985, "step": 121 }, { - "epoch": 2.47, - "learning_rate": 0.0001844387755102041, - "loss": 1.672, + "epoch": 1.38, + "learning_rate": 0.00018267045454545454, + "loss": 2.032, "step": 122 }, { - "epoch": 2.49, - "learning_rate": 0.0001843112244897959, - "loss": 1.7267, + "epoch": 1.39, + "learning_rate": 0.0001825284090909091, + "loss": 1.9743, "step": 123 }, { - "epoch": 2.51, - "learning_rate": 0.00018418367346938777, - "loss": 1.7825, + "epoch": 1.4, + "learning_rate": 0.00018238636363636365, + "loss": 1.9857, "step": 124 }, { - "epoch": 2.53, - "learning_rate": 0.0001840561224489796, - "loss": 1.7566, + "epoch": 1.41, + "learning_rate": 0.00018224431818181819, + "loss": 2.0118, "step": 125 }, { - "epoch": 2.55, - "learning_rate": 0.00018392857142857143, - "loss": 1.8169, + "epoch": 1.42, + "learning_rate": 0.00018210227272727274, + "loss": 2.0151, "step": 126 }, { - "epoch": 2.57, - "learning_rate": 0.00018380102040816326, - "loss": 1.6801, + "epoch": 1.43, + "learning_rate": 0.00018196022727272728, + "loss": 1.9863, "step": 127 }, { - "epoch": 2.59, - "learning_rate": 0.00018367346938775512, - "loss": 1.7292, + "epoch": 1.45, + "learning_rate": 0.00018181818181818183, + "loss": 1.9959, "step": 128 }, { - "epoch": 2.61, - "learning_rate": 0.00018354591836734695, - "loss": 1.737, + "epoch": 1.46, + "learning_rate": 0.00018167613636363637, + "loss": 1.9642, "step": 129 }, { - "epoch": 2.63, - "learning_rate": 0.00018341836734693878, - "loss": 1.7696, + "epoch": 1.47, + "learning_rate": 0.00018153409090909092, + "loss": 1.953, "step": 130 }, { - "epoch": 2.65, - "learning_rate": 0.0001832908163265306, - "loss": 1.7239, + "epoch": 1.48, + "learning_rate": 0.00018139204545454546, + "loss": 1.9994, "step": 131 }, { - "epoch": 2.67, - "learning_rate": 0.00018316326530612247, - "loss": 1.7441, + "epoch": 1.49, + "learning_rate": 0.00018125000000000001, + "loss": 1.9557, "step": 132 }, { - "epoch": 2.69, - "learning_rate": 0.0001830357142857143, - "loss": 1.7825, + "epoch": 1.5, + "learning_rate": 0.00018110795454545455, + "loss": 2.0051, "step": 133 }, { - "epoch": 2.71, - "learning_rate": 0.00018290816326530613, - "loss": 1.7411, + "epoch": 1.51, + "learning_rate": 0.0001809659090909091, + "loss": 1.9799, "step": 134 }, { - "epoch": 2.73, - "learning_rate": 0.00018278061224489796, - "loss": 1.7119, + "epoch": 1.53, + "learning_rate": 0.00018082386363636366, + "loss": 1.9696, "step": 135 }, { - "epoch": 2.75, - "learning_rate": 0.0001826530612244898, - "loss": 1.7443, + "epoch": 1.54, + "learning_rate": 0.0001806818181818182, + "loss": 1.9664, "step": 136 }, { - "epoch": 2.77, - "learning_rate": 0.00018252551020408165, - "loss": 1.7197, + "epoch": 1.55, + "learning_rate": 0.00018053977272727273, + "loss": 1.9619, "step": 137 }, { - "epoch": 2.79, - "learning_rate": 0.00018239795918367348, - "loss": 1.7273, + "epoch": 1.56, + "learning_rate": 0.00018039772727272729, + "loss": 1.9833, "step": 138 }, { - "epoch": 2.81, - "learning_rate": 0.0001822704081632653, - "loss": 1.7681, + "epoch": 1.57, + "learning_rate": 0.00018025568181818182, + "loss": 1.9791, "step": 139 }, { - "epoch": 2.83, - "learning_rate": 0.00018214285714285714, - "loss": 1.8088, + "epoch": 1.58, + "learning_rate": 0.00018011363636363638, + "loss": 1.9777, "step": 140 }, { - "epoch": 2.85, - "learning_rate": 0.000182015306122449, - "loss": 1.7301, + "epoch": 1.59, + "learning_rate": 0.00017997159090909093, + "loss": 1.9361, "step": 141 }, { - "epoch": 2.87, - "learning_rate": 0.00018188775510204083, - "loss": 1.6853, + "epoch": 1.6, + "learning_rate": 0.00017982954545454547, + "loss": 1.9449, "step": 142 }, { - "epoch": 2.89, - "learning_rate": 0.00018176020408163266, - "loss": 1.6966, + "epoch": 1.62, + "learning_rate": 0.0001796875, + "loss": 1.9541, "step": 143 }, { - "epoch": 2.91, - "learning_rate": 0.0001816326530612245, - "loss": 1.7938, + "epoch": 1.63, + "learning_rate": 0.00017954545454545456, + "loss": 1.9867, "step": 144 }, { - "epoch": 2.93, - "learning_rate": 0.00018150510204081635, - "loss": 1.7639, + "epoch": 1.64, + "learning_rate": 0.0001794034090909091, + "loss": 1.9433, "step": 145 }, { - "epoch": 2.95, - "learning_rate": 0.00018137755102040816, - "loss": 1.7527, + "epoch": 1.65, + "learning_rate": 0.00017926136363636365, + "loss": 1.9789, "step": 146 }, { - "epoch": 2.97, - "learning_rate": 0.00018125000000000001, - "loss": 1.7386, + "epoch": 1.66, + "learning_rate": 0.0001791193181818182, + "loss": 1.9942, "step": 147 }, { - "epoch": 2.99, - "learning_rate": 0.00018112244897959185, - "loss": 1.7223, + "epoch": 1.67, + "learning_rate": 0.00017897727272727274, + "loss": 1.9724, "step": 148 }, { - "epoch": 3.01, - "learning_rate": 0.00018099489795918368, - "loss": 1.7571, + "epoch": 1.68, + "learning_rate": 0.00017883522727272727, + "loss": 1.9938, "step": 149 }, { - "epoch": 3.04, - "learning_rate": 0.0001808673469387755, - "loss": 1.7054, + "epoch": 1.69, + "learning_rate": 0.00017869318181818183, + "loss": 1.9264, "step": 150 }, { - "epoch": 3.06, - "learning_rate": 0.00018073979591836737, - "loss": 1.6581, + "epoch": 1.71, + "learning_rate": 0.00017855113636363636, + "loss": 1.9372, "step": 151 }, { - "epoch": 3.08, - "learning_rate": 0.00018061224489795917, - "loss": 1.681, + "epoch": 1.72, + "learning_rate": 0.00017840909090909092, + "loss": 1.9463, "step": 152 }, { - "epoch": 3.1, - "learning_rate": 0.00018048469387755103, - "loss": 1.7425, + "epoch": 1.73, + "learning_rate": 0.00017826704545454547, + "loss": 1.9244, "step": 153 }, { - "epoch": 3.12, - "learning_rate": 0.00018035714285714286, - "loss": 1.7108, + "epoch": 1.74, + "learning_rate": 0.000178125, + "loss": 1.9139, "step": 154 }, { - "epoch": 3.14, - "learning_rate": 0.00018022959183673472, - "loss": 1.7194, + "epoch": 1.75, + "learning_rate": 0.00017798295454545454, + "loss": 1.9612, "step": 155 }, { - "epoch": 3.16, - "learning_rate": 0.00018010204081632655, - "loss": 1.6953, + "epoch": 1.76, + "learning_rate": 0.0001778409090909091, + "loss": 1.9399, "step": 156 }, { - "epoch": 3.18, - "learning_rate": 0.00017997448979591838, - "loss": 1.669, + "epoch": 1.77, + "learning_rate": 0.00017769886363636366, + "loss": 1.906, "step": 157 }, { - "epoch": 3.2, - "learning_rate": 0.0001798469387755102, - "loss": 1.744, + "epoch": 1.78, + "learning_rate": 0.0001775568181818182, + "loss": 1.9294, "step": 158 }, { - "epoch": 3.22, - "learning_rate": 0.00017971938775510204, - "loss": 1.6467, + "epoch": 1.8, + "learning_rate": 0.00017741477272727275, + "loss": 1.9663, "step": 159 }, { - "epoch": 3.24, - "learning_rate": 0.0001795918367346939, - "loss": 1.7103, + "epoch": 1.81, + "learning_rate": 0.00017727272727272728, + "loss": 1.9257, "step": 160 }, { - "epoch": 3.26, - "learning_rate": 0.00017946428571428573, - "loss": 1.6662, + "epoch": 1.82, + "learning_rate": 0.0001771306818181818, + "loss": 1.9416, "step": 161 }, { - "epoch": 3.28, - "learning_rate": 0.00017933673469387756, - "loss": 1.6657, + "epoch": 1.83, + "learning_rate": 0.00017698863636363637, + "loss": 1.94, "step": 162 }, { - "epoch": 3.3, - "learning_rate": 0.0001792091836734694, - "loss": 1.791, + "epoch": 1.84, + "learning_rate": 0.00017684659090909093, + "loss": 1.9064, "step": 163 }, { - "epoch": 3.32, - "learning_rate": 0.00017908163265306125, - "loss": 1.7704, + "epoch": 1.85, + "learning_rate": 0.00017670454545454546, + "loss": 1.9363, "step": 164 }, { - "epoch": 3.34, - "learning_rate": 0.00017895408163265305, - "loss": 1.7229, + "epoch": 1.86, + "learning_rate": 0.00017656250000000002, + "loss": 1.9414, "step": 165 }, { - "epoch": 3.36, - "learning_rate": 0.0001788265306122449, - "loss": 1.76, + "epoch": 1.88, + "learning_rate": 0.00017642045454545455, + "loss": 1.9526, "step": 166 }, { - "epoch": 3.38, - "learning_rate": 0.00017869897959183674, - "loss": 1.6482, + "epoch": 1.89, + "learning_rate": 0.00017627840909090908, + "loss": 1.9263, "step": 167 }, { - "epoch": 3.4, - "learning_rate": 0.0001785714285714286, - "loss": 1.8076, + "epoch": 1.9, + "learning_rate": 0.00017613636363636366, + "loss": 1.9251, "step": 168 }, { - "epoch": 3.42, - "learning_rate": 0.0001784438775510204, - "loss": 1.7368, + "epoch": 1.91, + "learning_rate": 0.0001759943181818182, + "loss": 1.9085, "step": 169 }, { - "epoch": 3.44, - "learning_rate": 0.00017831632653061226, - "loss": 1.6264, + "epoch": 1.92, + "learning_rate": 0.00017585227272727273, + "loss": 1.9287, "step": 170 }, { - "epoch": 3.46, - "learning_rate": 0.0001781887755102041, - "loss": 1.6289, + "epoch": 1.93, + "learning_rate": 0.00017571022727272729, + "loss": 1.9246, "step": 171 }, { - "epoch": 3.48, - "learning_rate": 0.00017806122448979592, - "loss": 1.7913, + "epoch": 1.94, + "learning_rate": 0.00017556818181818182, + "loss": 1.916, "step": 172 }, { - "epoch": 3.5, - "learning_rate": 0.00017793367346938775, - "loss": 1.6985, + "epoch": 1.95, + "learning_rate": 0.00017542613636363635, + "loss": 1.9297, "step": 173 }, { - "epoch": 3.52, - "learning_rate": 0.0001778061224489796, - "loss": 1.6936, + "epoch": 1.97, + "learning_rate": 0.00017528409090909094, + "loss": 1.8881, "step": 174 }, { - "epoch": 3.54, - "learning_rate": 0.00017767857142857141, - "loss": 1.8068, + "epoch": 1.98, + "learning_rate": 0.00017514204545454547, + "loss": 1.9208, "step": 175 }, { - "epoch": 3.56, - "learning_rate": 0.00017755102040816327, - "loss": 1.7243, + "epoch": 1.99, + "learning_rate": 0.000175, + "loss": 1.9233, "step": 176 }, { - "epoch": 3.58, - "learning_rate": 0.0001774234693877551, - "loss": 1.6893, + "epoch": 2.0, + "learning_rate": 0.00017485795454545456, + "loss": 1.9309, "step": 177 }, { - "epoch": 3.6, - "learning_rate": 0.00017729591836734696, - "loss": 1.8122, + "epoch": 2.01, + "learning_rate": 0.0001747159090909091, + "loss": 1.877, "step": 178 }, { - "epoch": 3.62, - "learning_rate": 0.0001771683673469388, - "loss": 1.6562, + "epoch": 2.02, + "learning_rate": 0.00017457386363636365, + "loss": 1.9083, "step": 179 }, { - "epoch": 3.64, - "learning_rate": 0.00017704081632653062, - "loss": 1.6999, + "epoch": 2.03, + "learning_rate": 0.0001744318181818182, + "loss": 1.8733, "step": 180 }, { - "epoch": 3.66, - "learning_rate": 0.00017691326530612245, - "loss": 1.7229, + "epoch": 2.04, + "learning_rate": 0.00017428977272727274, + "loss": 1.8905, "step": 181 }, { - "epoch": 3.68, - "learning_rate": 0.00017678571428571428, - "loss": 1.6764, + "epoch": 2.06, + "learning_rate": 0.00017414772727272727, + "loss": 1.9175, "step": 182 }, { - "epoch": 3.7, - "learning_rate": 0.00017665816326530614, - "loss": 1.6982, + "epoch": 2.07, + "learning_rate": 0.00017400568181818183, + "loss": 1.8846, "step": 183 }, { - "epoch": 3.72, - "learning_rate": 0.00017653061224489797, - "loss": 1.696, + "epoch": 2.08, + "learning_rate": 0.00017386363636363636, + "loss": 1.8847, "step": 184 }, { - "epoch": 3.74, - "learning_rate": 0.0001764030612244898, - "loss": 1.6797, + "epoch": 2.09, + "learning_rate": 0.00017372159090909092, + "loss": 1.8948, "step": 185 }, { - "epoch": 3.76, - "learning_rate": 0.00017627551020408164, - "loss": 1.637, + "epoch": 2.1, + "learning_rate": 0.00017357954545454548, + "loss": 1.8728, "step": 186 }, { - "epoch": 3.78, - "learning_rate": 0.0001761479591836735, - "loss": 1.7074, + "epoch": 2.11, + "learning_rate": 0.0001734375, + "loss": 1.8934, "step": 187 }, { - "epoch": 3.8, - "learning_rate": 0.0001760204081632653, - "loss": 1.705, + "epoch": 2.12, + "learning_rate": 0.00017329545454545454, + "loss": 1.8796, "step": 188 }, { - "epoch": 3.82, - "learning_rate": 0.00017589285714285716, - "loss": 1.6153, + "epoch": 2.14, + "learning_rate": 0.0001731534090909091, + "loss": 1.902, "step": 189 }, { - "epoch": 3.84, - "learning_rate": 0.00017576530612244899, - "loss": 1.7354, + "epoch": 2.15, + "learning_rate": 0.00017301136363636366, + "loss": 1.8864, "step": 190 }, { - "epoch": 3.86, - "learning_rate": 0.00017563775510204084, - "loss": 1.6941, + "epoch": 2.16, + "learning_rate": 0.0001728693181818182, + "loss": 1.8682, "step": 191 }, { - "epoch": 3.88, - "learning_rate": 0.00017551020408163265, - "loss": 1.7231, + "epoch": 2.17, + "learning_rate": 0.00017272727272727275, + "loss": 1.8662, "step": 192 }, { - "epoch": 3.91, - "learning_rate": 0.0001753826530612245, - "loss": 1.7663, + "epoch": 2.18, + "learning_rate": 0.00017258522727272728, + "loss": 1.8526, "step": 193 }, { - "epoch": 3.93, - "learning_rate": 0.00017525510204081634, - "loss": 1.6532, + "epoch": 2.19, + "learning_rate": 0.0001724431818181818, + "loss": 1.8682, "step": 194 }, { - "epoch": 3.95, - "learning_rate": 0.00017512755102040817, - "loss": 1.7115, + "epoch": 2.2, + "learning_rate": 0.00017230113636363637, + "loss": 1.8205, "step": 195 }, { - "epoch": 3.97, - "learning_rate": 0.000175, - "loss": 1.6955, + "epoch": 2.21, + "learning_rate": 0.00017215909090909093, + "loss": 1.8726, "step": 196 }, { - "epoch": 3.99, - "learning_rate": 0.00017487244897959186, - "loss": 1.6863, + "epoch": 2.23, + "learning_rate": 0.00017201704545454546, + "loss": 1.8241, "step": 197 }, { - "epoch": 4.01, - "learning_rate": 0.00017474489795918366, - "loss": 1.7012, + "epoch": 2.24, + "learning_rate": 0.00017187500000000002, + "loss": 1.9, "step": 198 }, { - "epoch": 4.03, - "learning_rate": 0.00017461734693877552, - "loss": 1.5927, + "epoch": 2.25, + "learning_rate": 0.00017173295454545455, + "loss": 1.8496, "step": 199 }, { - "epoch": 4.05, - "learning_rate": 0.00017448979591836735, - "loss": 1.6272, + "epoch": 2.26, + "learning_rate": 0.00017159090909090908, + "loss": 1.8562, "step": 200 }, { - "epoch": 4.07, - "learning_rate": 0.00017436224489795918, - "loss": 1.5994, + "epoch": 2.27, + "learning_rate": 0.00017144886363636367, + "loss": 1.8594, "step": 201 }, { - "epoch": 4.09, - "learning_rate": 0.00017423469387755104, - "loss": 1.7141, + "epoch": 2.28, + "learning_rate": 0.0001713068181818182, + "loss": 1.8606, "step": 202 }, { - "epoch": 4.11, - "learning_rate": 0.00017410714285714287, - "loss": 1.7547, + "epoch": 2.29, + "learning_rate": 0.00017116477272727273, + "loss": 1.8712, "step": 203 }, { - "epoch": 4.13, - "learning_rate": 0.0001739795918367347, - "loss": 1.6254, + "epoch": 2.3, + "learning_rate": 0.0001710227272727273, + "loss": 1.897, "step": 204 }, { - "epoch": 4.15, - "learning_rate": 0.00017385204081632653, - "loss": 1.6686, + "epoch": 2.32, + "learning_rate": 0.00017088068181818182, + "loss": 1.8287, "step": 205 }, { - "epoch": 4.17, - "learning_rate": 0.0001737244897959184, - "loss": 1.6684, + "epoch": 2.33, + "learning_rate": 0.00017073863636363635, + "loss": 1.8698, "step": 206 }, { - "epoch": 4.19, - "learning_rate": 0.00017359693877551022, - "loss": 1.6724, + "epoch": 2.34, + "learning_rate": 0.00017059659090909094, + "loss": 1.8611, "step": 207 }, { - "epoch": 4.21, - "learning_rate": 0.00017346938775510205, - "loss": 1.7361, + "epoch": 2.35, + "learning_rate": 0.00017045454545454547, + "loss": 1.8161, "step": 208 }, { - "epoch": 4.23, - "learning_rate": 0.00017334183673469388, - "loss": 1.7167, + "epoch": 2.36, + "learning_rate": 0.0001703125, + "loss": 1.8303, "step": 209 }, { - "epoch": 4.25, - "learning_rate": 0.00017321428571428574, - "loss": 1.7226, + "epoch": 2.37, + "learning_rate": 0.00017017045454545456, + "loss": 1.8423, "step": 210 }, { - "epoch": 4.27, - "learning_rate": 0.00017308673469387754, - "loss": 1.7133, + "epoch": 2.38, + "learning_rate": 0.0001700284090909091, + "loss": 1.861, "step": 211 }, { - "epoch": 4.29, - "learning_rate": 0.0001729591836734694, - "loss": 1.649, + "epoch": 2.4, + "learning_rate": 0.00016988636363636365, + "loss": 1.864, "step": 212 }, { - "epoch": 4.31, - "learning_rate": 0.00017283163265306123, - "loss": 1.7104, + "epoch": 2.41, + "learning_rate": 0.0001697443181818182, + "loss": 1.8448, "step": 213 }, { - "epoch": 4.33, - "learning_rate": 0.00017270408163265306, - "loss": 1.6861, + "epoch": 2.42, + "learning_rate": 0.00016960227272727274, + "loss": 1.8463, "step": 214 }, { - "epoch": 4.35, - "learning_rate": 0.0001725765306122449, - "loss": 1.648, + "epoch": 2.43, + "learning_rate": 0.00016946022727272727, + "loss": 1.8482, "step": 215 }, { - "epoch": 4.37, - "learning_rate": 0.00017244897959183675, - "loss": 1.6215, + "epoch": 2.44, + "learning_rate": 0.00016931818181818183, + "loss": 1.8289, "step": 216 }, { - "epoch": 4.39, - "learning_rate": 0.00017232142857142858, - "loss": 1.6334, + "epoch": 2.45, + "learning_rate": 0.00016917613636363636, + "loss": 1.8352, "step": 217 }, { - "epoch": 4.41, - "learning_rate": 0.0001721938775510204, - "loss": 1.6283, + "epoch": 2.46, + "learning_rate": 0.00016903409090909092, + "loss": 1.8161, "step": 218 }, { - "epoch": 4.43, - "learning_rate": 0.00017206632653061224, - "loss": 1.6462, + "epoch": 2.47, + "learning_rate": 0.00016889204545454548, + "loss": 1.8512, "step": 219 }, { - "epoch": 4.45, - "learning_rate": 0.0001719387755102041, - "loss": 1.7233, + "epoch": 2.49, + "learning_rate": 0.00016875, + "loss": 1.8211, "step": 220 }, { - "epoch": 4.47, - "learning_rate": 0.0001718112244897959, - "loss": 1.7839, + "epoch": 2.5, + "learning_rate": 0.00016860795454545454, + "loss": 1.7831, "step": 221 }, { - "epoch": 4.49, - "learning_rate": 0.00017168367346938776, - "loss": 1.7204, + "epoch": 2.51, + "learning_rate": 0.0001684659090909091, + "loss": 1.8232, "step": 222 }, { - "epoch": 4.51, - "learning_rate": 0.0001715561224489796, - "loss": 1.7671, + "epoch": 2.52, + "learning_rate": 0.00016832386363636366, + "loss": 1.8253, "step": 223 }, { - "epoch": 4.53, - "learning_rate": 0.00017142857142857143, - "loss": 1.6824, + "epoch": 2.53, + "learning_rate": 0.0001681818181818182, + "loss": 1.7994, "step": 224 }, { - "epoch": 4.55, - "learning_rate": 0.00017130102040816328, - "loss": 1.7068, + "epoch": 2.54, + "learning_rate": 0.00016803977272727275, + "loss": 1.8405, "step": 225 }, { - "epoch": 4.57, - "learning_rate": 0.00017117346938775511, - "loss": 1.6515, + "epoch": 2.55, + "learning_rate": 0.00016789772727272728, + "loss": 1.816, "step": 226 }, { - "epoch": 4.59, - "learning_rate": 0.00017104591836734694, - "loss": 1.6586, + "epoch": 2.56, + "learning_rate": 0.0001677556818181818, + "loss": 1.8343, "step": 227 }, { - "epoch": 4.61, - "learning_rate": 0.00017091836734693878, - "loss": 1.6355, + "epoch": 2.58, + "learning_rate": 0.00016761363636363637, + "loss": 1.8068, "step": 228 }, { - "epoch": 4.63, - "learning_rate": 0.00017079081632653063, - "loss": 1.7173, + "epoch": 2.59, + "learning_rate": 0.00016747159090909093, + "loss": 1.8337, "step": 229 }, { - "epoch": 4.65, - "learning_rate": 0.00017066326530612246, - "loss": 1.6585, + "epoch": 2.6, + "learning_rate": 0.00016732954545454546, + "loss": 1.8269, "step": 230 }, { - "epoch": 4.67, - "learning_rate": 0.0001705357142857143, - "loss": 1.5856, + "epoch": 2.61, + "learning_rate": 0.00016718750000000002, + "loss": 1.8243, "step": 231 }, { - "epoch": 4.69, - "learning_rate": 0.00017040816326530613, - "loss": 1.5923, + "epoch": 2.62, + "learning_rate": 0.00016704545454545455, + "loss": 1.7766, "step": 232 }, { - "epoch": 4.71, - "learning_rate": 0.00017028061224489798, - "loss": 1.7128, + "epoch": 2.63, + "learning_rate": 0.00016690340909090908, + "loss": 1.8144, "step": 233 }, { - "epoch": 4.73, - "learning_rate": 0.0001701530612244898, - "loss": 1.6971, + "epoch": 2.64, + "learning_rate": 0.00016676136363636367, + "loss": 1.8113, "step": 234 }, { - "epoch": 4.75, - "learning_rate": 0.00017002551020408165, - "loss": 1.6416, + "epoch": 2.65, + "learning_rate": 0.0001666193181818182, + "loss": 1.8086, "step": 235 }, { - "epoch": 4.78, - "learning_rate": 0.00016989795918367348, - "loss": 1.645, + "epoch": 2.67, + "learning_rate": 0.00016647727272727273, + "loss": 1.785, "step": 236 }, { - "epoch": 4.8, - "learning_rate": 0.0001697704081632653, - "loss": 1.6792, + "epoch": 2.68, + "learning_rate": 0.0001663352272727273, + "loss": 1.7884, "step": 237 }, { - "epoch": 4.82, - "learning_rate": 0.00016964285714285714, - "loss": 1.6522, + "epoch": 2.69, + "learning_rate": 0.00016619318181818182, + "loss": 1.7953, "step": 238 }, { - "epoch": 4.84, - "learning_rate": 0.000169515306122449, - "loss": 1.6315, + "epoch": 2.7, + "learning_rate": 0.00016605113636363635, + "loss": 1.8013, "step": 239 }, { - "epoch": 4.86, - "learning_rate": 0.00016938775510204083, - "loss": 1.6622, + "epoch": 2.71, + "learning_rate": 0.00016590909090909094, + "loss": 1.8074, "step": 240 }, { - "epoch": 4.88, - "learning_rate": 0.00016926020408163266, - "loss": 1.6566, + "epoch": 2.72, + "learning_rate": 0.00016576704545454547, + "loss": 1.82, "step": 241 }, { - "epoch": 4.9, - "learning_rate": 0.0001691326530612245, - "loss": 1.7141, + "epoch": 2.73, + "learning_rate": 0.000165625, + "loss": 1.7665, "step": 242 }, { - "epoch": 4.92, - "learning_rate": 0.00016900510204081635, - "loss": 1.5873, + "epoch": 2.75, + "learning_rate": 0.00016548295454545456, + "loss": 1.7638, "step": 243 }, { - "epoch": 4.94, - "learning_rate": 0.00016887755102040818, - "loss": 1.6571, + "epoch": 2.76, + "learning_rate": 0.0001653409090909091, + "loss": 1.7724, "step": 244 }, { - "epoch": 4.96, - "learning_rate": 0.00016875, - "loss": 1.6829, + "epoch": 2.77, + "learning_rate": 0.00016519886363636365, + "loss": 1.7917, "step": 245 }, { - "epoch": 4.98, - "learning_rate": 0.00016862244897959184, - "loss": 1.6935, + "epoch": 2.78, + "learning_rate": 0.0001650568181818182, + "loss": 1.8442, "step": 246 }, { - "epoch": 5.0, - "learning_rate": 0.00016849489795918367, - "loss": 1.6782, + "epoch": 2.79, + "learning_rate": 0.00016491477272727274, + "loss": 1.7887, "step": 247 }, { - "epoch": 5.02, - "learning_rate": 0.00016836734693877553, - "loss": 1.622, + "epoch": 2.8, + "learning_rate": 0.00016477272727272727, + "loss": 1.8055, "step": 248 }, { - "epoch": 5.04, - "learning_rate": 0.00016823979591836736, - "loss": 1.6596, + "epoch": 2.81, + "learning_rate": 0.00016463068181818183, + "loss": 1.7754, "step": 249 }, { - "epoch": 5.06, - "learning_rate": 0.0001681122448979592, - "loss": 1.5821, + "epoch": 2.82, + "learning_rate": 0.00016448863636363636, + "loss": 1.7948, "step": 250 }, { - "epoch": 5.08, - "learning_rate": 0.00016798469387755102, - "loss": 1.7292, + "epoch": 2.84, + "learning_rate": 0.00016434659090909092, + "loss": 1.8332, "step": 251 }, { - "epoch": 5.1, - "learning_rate": 0.00016785714285714288, - "loss": 1.646, + "epoch": 2.85, + "learning_rate": 0.00016420454545454548, + "loss": 1.772, "step": 252 }, { - "epoch": 5.12, - "learning_rate": 0.0001677295918367347, - "loss": 1.6969, + "epoch": 2.86, + "learning_rate": 0.0001640625, + "loss": 1.7781, "step": 253 }, { - "epoch": 5.14, - "learning_rate": 0.00016760204081632654, - "loss": 1.6082, + "epoch": 2.87, + "learning_rate": 0.00016392045454545454, + "loss": 1.7714, "step": 254 }, { - "epoch": 5.16, - "learning_rate": 0.00016747448979591837, - "loss": 1.5843, + "epoch": 2.88, + "learning_rate": 0.0001637784090909091, + "loss": 1.793, "step": 255 }, { - "epoch": 5.18, - "learning_rate": 0.00016734693877551023, - "loss": 1.6827, + "epoch": 2.89, + "learning_rate": 0.00016363636363636366, + "loss": 1.8038, "step": 256 }, { - "epoch": 5.2, - "learning_rate": 0.00016721938775510203, - "loss": 1.5824, + "epoch": 2.9, + "learning_rate": 0.0001634943181818182, + "loss": 1.8137, "step": 257 }, { - "epoch": 5.22, - "learning_rate": 0.0001670918367346939, - "loss": 1.6795, + "epoch": 2.91, + "learning_rate": 0.00016335227272727275, + "loss": 1.7726, "step": 258 }, { - "epoch": 5.24, - "learning_rate": 0.00016696428571428572, - "loss": 1.5639, + "epoch": 2.93, + "learning_rate": 0.00016321022727272728, + "loss": 1.7753, "step": 259 }, { - "epoch": 5.26, - "learning_rate": 0.00016683673469387755, - "loss": 1.592, + "epoch": 2.94, + "learning_rate": 0.0001630681818181818, + "loss": 1.7553, "step": 260 }, { - "epoch": 5.28, - "learning_rate": 0.00016670918367346938, - "loss": 1.65, + "epoch": 2.95, + "learning_rate": 0.00016292613636363637, + "loss": 1.7518, "step": 261 }, { - "epoch": 5.3, - "learning_rate": 0.00016658163265306124, - "loss": 1.5592, + "epoch": 2.96, + "learning_rate": 0.00016278409090909093, + "loss": 1.7724, "step": 262 }, { - "epoch": 5.32, - "learning_rate": 0.00016645408163265305, - "loss": 1.5091, + "epoch": 2.97, + "learning_rate": 0.00016264204545454546, + "loss": 1.7266, "step": 263 }, { - "epoch": 5.34, - "learning_rate": 0.0001663265306122449, - "loss": 1.6138, + "epoch": 2.98, + "learning_rate": 0.00016250000000000002, + "loss": 1.8032, "step": 264 }, { - "epoch": 5.36, - "learning_rate": 0.00016619897959183673, - "loss": 1.625, + "epoch": 2.99, + "learning_rate": 0.00016235795454545455, + "loss": 1.7345, "step": 265 }, { - "epoch": 5.38, - "learning_rate": 0.0001660714285714286, - "loss": 1.5757, + "epoch": 3.01, + "learning_rate": 0.00016221590909090908, + "loss": 1.7249, "step": 266 }, { - "epoch": 5.4, - "learning_rate": 0.00016594387755102042, - "loss": 1.6372, + "epoch": 3.02, + "learning_rate": 0.00016207386363636364, + "loss": 1.7218, "step": 267 }, { - "epoch": 5.42, - "learning_rate": 0.00016581632653061225, - "loss": 1.5891, + "epoch": 3.03, + "learning_rate": 0.0001619318181818182, + "loss": 1.7092, "step": 268 }, { - "epoch": 5.44, - "learning_rate": 0.00016568877551020409, - "loss": 1.6893, + "epoch": 3.04, + "learning_rate": 0.00016178977272727273, + "loss": 1.6807, "step": 269 }, { - "epoch": 5.46, - "learning_rate": 0.00016556122448979592, - "loss": 1.6662, + "epoch": 3.05, + "learning_rate": 0.0001616477272727273, + "loss": 1.7264, "step": 270 }, { - "epoch": 5.48, - "learning_rate": 0.00016543367346938777, - "loss": 1.7132, + "epoch": 3.06, + "learning_rate": 0.00016150568181818182, + "loss": 1.726, "step": 271 }, { - "epoch": 5.5, - "learning_rate": 0.0001653061224489796, - "loss": 1.5835, + "epoch": 3.07, + "learning_rate": 0.00016136363636363635, + "loss": 1.6986, "step": 272 }, { - "epoch": 5.52, - "learning_rate": 0.00016517857142857144, - "loss": 1.6342, + "epoch": 3.08, + "learning_rate": 0.0001612215909090909, + "loss": 1.68, "step": 273 }, { - "epoch": 5.54, - "learning_rate": 0.00016505102040816327, - "loss": 1.6717, + "epoch": 3.1, + "learning_rate": 0.00016107954545454547, + "loss": 1.6677, "step": 274 }, { - "epoch": 5.56, - "learning_rate": 0.00016492346938775512, - "loss": 1.6248, + "epoch": 3.11, + "learning_rate": 0.0001609375, + "loss": 1.7137, "step": 275 }, { - "epoch": 5.58, - "learning_rate": 0.00016479591836734696, - "loss": 1.6117, + "epoch": 3.12, + "learning_rate": 0.00016079545454545456, + "loss": 1.6671, "step": 276 }, { - "epoch": 5.6, - "learning_rate": 0.0001646683673469388, - "loss": 1.6798, + "epoch": 3.13, + "learning_rate": 0.0001606534090909091, + "loss": 1.6873, "step": 277 }, { - "epoch": 5.63, - "learning_rate": 0.00016454081632653062, - "loss": 1.6406, + "epoch": 3.14, + "learning_rate": 0.00016051136363636365, + "loss": 1.6694, "step": 278 }, { - "epoch": 5.65, - "learning_rate": 0.00016441326530612248, - "loss": 1.6512, + "epoch": 3.15, + "learning_rate": 0.00016036931818181818, + "loss": 1.7003, "step": 279 }, { - "epoch": 5.67, - "learning_rate": 0.00016428571428571428, - "loss": 1.6102, + "epoch": 3.16, + "learning_rate": 0.00016022727272727274, + "loss": 1.6861, "step": 280 }, { - "epoch": 5.69, - "learning_rate": 0.00016415816326530614, - "loss": 1.6113, + "epoch": 3.17, + "learning_rate": 0.00016008522727272727, + "loss": 1.6881, "step": 281 }, { - "epoch": 5.71, - "learning_rate": 0.00016403061224489797, - "loss": 1.7116, + "epoch": 3.19, + "learning_rate": 0.00015994318181818183, + "loss": 1.6848, "step": 282 }, { - "epoch": 5.73, - "learning_rate": 0.0001639030612244898, - "loss": 1.6846, + "epoch": 3.2, + "learning_rate": 0.00015980113636363636, + "loss": 1.6872, "step": 283 }, { - "epoch": 5.75, - "learning_rate": 0.00016377551020408163, - "loss": 1.6911, + "epoch": 3.21, + "learning_rate": 0.00015965909090909092, + "loss": 1.6975, "step": 284 }, { - "epoch": 5.77, - "learning_rate": 0.0001636479591836735, - "loss": 1.6202, + "epoch": 3.22, + "learning_rate": 0.00015951704545454545, + "loss": 1.6708, "step": 285 }, { - "epoch": 5.79, - "learning_rate": 0.0001635204081632653, - "loss": 1.5715, + "epoch": 3.23, + "learning_rate": 0.000159375, + "loss": 1.6985, "step": 286 }, { - "epoch": 5.81, - "learning_rate": 0.00016339285714285715, - "loss": 1.6461, + "epoch": 3.24, + "learning_rate": 0.00015923295454545454, + "loss": 1.6586, "step": 287 }, { - "epoch": 5.83, - "learning_rate": 0.00016326530612244898, - "loss": 1.6624, + "epoch": 3.25, + "learning_rate": 0.0001590909090909091, + "loss": 1.6707, "step": 288 }, { - "epoch": 5.85, - "learning_rate": 0.00016313775510204084, - "loss": 1.6535, + "epoch": 3.26, + "learning_rate": 0.00015894886363636366, + "loss": 1.6576, "step": 289 }, { - "epoch": 5.87, - "learning_rate": 0.00016301020408163267, - "loss": 1.6275, + "epoch": 3.28, + "learning_rate": 0.0001588068181818182, + "loss": 1.6625, "step": 290 }, { - "epoch": 5.89, - "learning_rate": 0.0001628826530612245, - "loss": 1.6636, + "epoch": 3.29, + "learning_rate": 0.00015866477272727275, + "loss": 1.677, "step": 291 }, { - "epoch": 5.91, - "learning_rate": 0.00016275510204081633, - "loss": 1.6546, + "epoch": 3.3, + "learning_rate": 0.00015852272727272728, + "loss": 1.6599, "step": 292 }, { - "epoch": 5.93, - "learning_rate": 0.00016262755102040816, - "loss": 1.7274, + "epoch": 3.31, + "learning_rate": 0.0001583806818181818, + "loss": 1.6674, "step": 293 }, { - "epoch": 5.95, - "learning_rate": 0.00016250000000000002, - "loss": 1.5901, + "epoch": 3.32, + "learning_rate": 0.00015823863636363637, + "loss": 1.6707, "step": 294 }, { - "epoch": 5.97, - "learning_rate": 0.00016237244897959185, - "loss": 1.6046, + "epoch": 3.33, + "learning_rate": 0.00015809659090909093, + "loss": 1.6788, "step": 295 }, { - "epoch": 5.99, - "learning_rate": 0.00016224489795918368, - "loss": 1.5828, + "epoch": 3.34, + "learning_rate": 0.00015795454545454546, + "loss": 1.6686, "step": 296 }, { - "epoch": 6.01, - "learning_rate": 0.0001621173469387755, - "loss": 1.6435, + "epoch": 3.36, + "learning_rate": 0.00015781250000000002, + "loss": 1.6488, "step": 297 }, { - "epoch": 6.03, - "learning_rate": 0.00016198979591836737, - "loss": 1.6263, + "epoch": 3.37, + "learning_rate": 0.00015767045454545455, + "loss": 1.6806, "step": 298 }, { - "epoch": 6.05, - "learning_rate": 0.00016186224489795917, - "loss": 1.4944, + "epoch": 3.38, + "learning_rate": 0.00015752840909090908, + "loss": 1.6862, "step": 299 }, { - "epoch": 6.07, - "learning_rate": 0.00016173469387755103, - "loss": 1.6286, + "epoch": 3.39, + "learning_rate": 0.00015738636363636364, + "loss": 1.6499, "step": 300 }, { - "epoch": 6.09, - "learning_rate": 0.00016160714285714286, - "loss": 1.694, + "epoch": 3.4, + "learning_rate": 0.0001572443181818182, + "loss": 1.6245, "step": 301 }, { - "epoch": 6.11, - "learning_rate": 0.00016147959183673472, - "loss": 1.6197, + "epoch": 3.41, + "learning_rate": 0.00015710227272727273, + "loss": 1.6268, "step": 302 }, { - "epoch": 6.13, - "learning_rate": 0.00016135204081632652, - "loss": 1.5597, + "epoch": 3.42, + "learning_rate": 0.0001569602272727273, + "loss": 1.6438, "step": 303 }, { - "epoch": 6.15, - "learning_rate": 0.00016122448979591838, - "loss": 1.5487, + "epoch": 3.43, + "learning_rate": 0.00015681818181818182, + "loss": 1.6681, "step": 304 }, { - "epoch": 6.17, - "learning_rate": 0.0001610969387755102, - "loss": 1.5769, + "epoch": 3.45, + "learning_rate": 0.00015667613636363635, + "loss": 1.6582, "step": 305 }, { - "epoch": 6.19, - "learning_rate": 0.00016096938775510204, - "loss": 1.6367, + "epoch": 3.46, + "learning_rate": 0.0001565340909090909, + "loss": 1.6432, "step": 306 }, { - "epoch": 6.21, - "learning_rate": 0.00016084183673469388, - "loss": 1.583, + "epoch": 3.47, + "learning_rate": 0.00015639204545454547, + "loss": 1.617, "step": 307 }, { - "epoch": 6.23, - "learning_rate": 0.00016071428571428573, - "loss": 1.6201, + "epoch": 3.48, + "learning_rate": 0.00015625, + "loss": 1.6569, "step": 308 }, { - "epoch": 6.25, - "learning_rate": 0.00016058673469387754, - "loss": 1.6586, + "epoch": 3.49, + "learning_rate": 0.00015610795454545456, + "loss": 1.6276, "step": 309 }, { - "epoch": 6.27, - "learning_rate": 0.0001604591836734694, - "loss": 1.6711, + "epoch": 3.5, + "learning_rate": 0.0001559659090909091, + "loss": 1.6432, "step": 310 }, { - "epoch": 6.29, - "learning_rate": 0.00016033163265306123, - "loss": 1.6402, + "epoch": 3.51, + "learning_rate": 0.00015582386363636365, + "loss": 1.6132, "step": 311 }, { - "epoch": 6.31, - "learning_rate": 0.00016020408163265306, - "loss": 1.5247, + "epoch": 3.52, + "learning_rate": 0.00015568181818181818, + "loss": 1.5997, "step": 312 }, { - "epoch": 6.33, - "learning_rate": 0.00016007653061224491, - "loss": 1.5356, + "epoch": 3.54, + "learning_rate": 0.00015553977272727274, + "loss": 1.6154, "step": 313 }, { - "epoch": 6.35, - "learning_rate": 0.00015994897959183675, - "loss": 1.564, + "epoch": 3.55, + "learning_rate": 0.00015539772727272727, + "loss": 1.5862, "step": 314 }, { - "epoch": 6.37, - "learning_rate": 0.00015982142857142858, - "loss": 1.563, + "epoch": 3.56, + "learning_rate": 0.00015525568181818183, + "loss": 1.6233, "step": 315 }, { - "epoch": 6.39, - "learning_rate": 0.0001596938775510204, - "loss": 1.5198, + "epoch": 3.57, + "learning_rate": 0.00015511363636363636, + "loss": 1.6265, "step": 316 }, { - "epoch": 6.41, - "learning_rate": 0.00015956632653061227, - "loss": 1.6558, + "epoch": 3.58, + "learning_rate": 0.00015497159090909092, + "loss": 1.6171, "step": 317 }, { - "epoch": 6.43, - "learning_rate": 0.0001594387755102041, - "loss": 1.5534, + "epoch": 3.59, + "learning_rate": 0.00015482954545454545, + "loss": 1.6303, "step": 318 }, { - "epoch": 6.45, - "learning_rate": 0.00015931122448979593, - "loss": 1.6239, + "epoch": 3.6, + "learning_rate": 0.0001546875, + "loss": 1.6272, "step": 319 }, { - "epoch": 6.47, - "learning_rate": 0.00015918367346938776, - "loss": 1.5645, + "epoch": 3.62, + "learning_rate": 0.00015454545454545454, + "loss": 1.6183, "step": 320 }, { - "epoch": 6.5, - "learning_rate": 0.00015905612244897962, - "loss": 1.5713, + "epoch": 3.63, + "learning_rate": 0.0001544034090909091, + "loss": 1.6205, "step": 321 }, { - "epoch": 6.52, - "learning_rate": 0.00015892857142857142, - "loss": 1.6176, + "epoch": 3.64, + "learning_rate": 0.00015426136363636366, + "loss": 1.6099, "step": 322 }, { - "epoch": 6.54, - "learning_rate": 0.00015880102040816328, - "loss": 1.502, + "epoch": 3.65, + "learning_rate": 0.0001541193181818182, + "loss": 1.5973, "step": 323 }, { - "epoch": 6.56, - "learning_rate": 0.0001586734693877551, - "loss": 1.645, + "epoch": 3.66, + "learning_rate": 0.00015397727272727272, + "loss": 1.6247, "step": 324 }, { - "epoch": 6.58, - "learning_rate": 0.00015854591836734697, - "loss": 1.5904, + "epoch": 3.67, + "learning_rate": 0.00015383522727272728, + "loss": 1.6041, "step": 325 }, { - "epoch": 6.6, - "learning_rate": 0.00015841836734693877, - "loss": 1.6149, + "epoch": 3.68, + "learning_rate": 0.00015369318181818181, + "loss": 1.5835, "step": 326 }, { - "epoch": 6.62, - "learning_rate": 0.00015829081632653063, - "loss": 1.6757, + "epoch": 3.69, + "learning_rate": 0.00015355113636363637, + "loss": 1.608, "step": 327 }, { - "epoch": 6.64, - "learning_rate": 0.00015816326530612246, - "loss": 1.541, + "epoch": 3.71, + "learning_rate": 0.00015340909090909093, + "loss": 1.6155, "step": 328 }, { - "epoch": 6.66, - "learning_rate": 0.0001580357142857143, - "loss": 1.5898, + "epoch": 3.72, + "learning_rate": 0.00015326704545454546, + "loss": 1.5777, "step": 329 }, { - "epoch": 6.68, - "learning_rate": 0.00015790816326530612, - "loss": 1.5441, + "epoch": 3.73, + "learning_rate": 0.000153125, + "loss": 1.5969, "step": 330 }, { - "epoch": 6.7, - "learning_rate": 0.00015778061224489798, - "loss": 1.61, + "epoch": 3.74, + "learning_rate": 0.00015298295454545455, + "loss": 1.5904, "step": 331 }, { - "epoch": 6.72, - "learning_rate": 0.00015765306122448978, - "loss": 1.615, + "epoch": 3.75, + "learning_rate": 0.00015284090909090909, + "loss": 1.586, "step": 332 }, { - "epoch": 6.74, - "learning_rate": 0.00015752551020408164, - "loss": 1.6575, + "epoch": 3.76, + "learning_rate": 0.00015269886363636364, + "loss": 1.582, "step": 333 }, { - "epoch": 6.76, - "learning_rate": 0.00015739795918367347, - "loss": 1.6702, + "epoch": 3.77, + "learning_rate": 0.0001525568181818182, + "loss": 1.548, "step": 334 }, { - "epoch": 6.78, - "learning_rate": 0.0001572704081632653, - "loss": 1.6009, + "epoch": 3.78, + "learning_rate": 0.00015241477272727273, + "loss": 1.5564, "step": 335 }, { - "epoch": 6.8, - "learning_rate": 0.00015714285714285716, - "loss": 1.5568, + "epoch": 3.8, + "learning_rate": 0.00015227272727272727, + "loss": 1.5506, "step": 336 }, { - "epoch": 6.82, - "learning_rate": 0.000157015306122449, - "loss": 1.619, + "epoch": 3.81, + "learning_rate": 0.00015213068181818182, + "loss": 1.5526, "step": 337 }, { - "epoch": 6.84, - "learning_rate": 0.00015688775510204082, - "loss": 1.5563, + "epoch": 3.82, + "learning_rate": 0.00015198863636363636, + "loss": 1.5564, "step": 338 }, { - "epoch": 6.86, - "learning_rate": 0.00015676020408163265, - "loss": 1.6328, + "epoch": 3.83, + "learning_rate": 0.00015184659090909091, + "loss": 1.5598, "step": 339 }, { - "epoch": 6.88, - "learning_rate": 0.0001566326530612245, - "loss": 1.5726, + "epoch": 3.84, + "learning_rate": 0.00015170454545454547, + "loss": 1.5679, "step": 340 }, { - "epoch": 6.9, - "learning_rate": 0.00015650510204081634, - "loss": 1.6199, + "epoch": 3.85, + "learning_rate": 0.0001515625, + "loss": 1.549, "step": 341 }, { - "epoch": 6.92, - "learning_rate": 0.00015637755102040817, - "loss": 1.5722, + "epoch": 3.86, + "learning_rate": 0.00015142045454545454, + "loss": 1.5672, "step": 342 }, { - "epoch": 6.94, - "learning_rate": 0.00015625, - "loss": 1.5685, + "epoch": 3.88, + "learning_rate": 0.0001512784090909091, + "loss": 1.5399, "step": 343 }, { - "epoch": 6.96, - "learning_rate": 0.00015612244897959186, - "loss": 1.5615, + "epoch": 3.89, + "learning_rate": 0.00015113636363636365, + "loss": 1.5576, "step": 344 }, { - "epoch": 6.98, - "learning_rate": 0.00015599489795918366, - "loss": 1.5994, + "epoch": 3.9, + "learning_rate": 0.00015099431818181818, + "loss": 1.549, "step": 345 }, { - "epoch": 7.0, - "learning_rate": 0.00015586734693877552, - "loss": 1.5579, + "epoch": 3.91, + "learning_rate": 0.00015085227272727274, + "loss": 1.5345, "step": 346 }, { - "epoch": 7.02, - "learning_rate": 0.00015573979591836735, - "loss": 1.547, + "epoch": 3.92, + "learning_rate": 0.00015071022727272728, + "loss": 1.5015, "step": 347 }, { - "epoch": 7.04, - "learning_rate": 0.00015561224489795918, - "loss": 1.5292, + "epoch": 3.93, + "learning_rate": 0.0001505681818181818, + "loss": 1.5221, "step": 348 }, { - "epoch": 7.06, - "learning_rate": 0.00015548469387755102, - "loss": 1.6032, + "epoch": 3.94, + "learning_rate": 0.00015042613636363637, + "loss": 1.556, "step": 349 }, { - "epoch": 7.08, - "learning_rate": 0.00015535714285714287, - "loss": 1.5149, + "epoch": 3.95, + "learning_rate": 0.00015028409090909092, + "loss": 1.5276, "step": 350 }, { - "epoch": 7.1, - "learning_rate": 0.0001552295918367347, - "loss": 1.6093, + "epoch": 3.97, + "learning_rate": 0.00015014204545454546, + "loss": 1.552, "step": 351 }, { - "epoch": 7.12, - "learning_rate": 0.00015510204081632654, - "loss": 1.5421, + "epoch": 3.98, + "learning_rate": 0.00015000000000000001, + "loss": 1.5377, "step": 352 }, { - "epoch": 7.14, - "learning_rate": 0.00015497448979591837, - "loss": 1.5733, + "epoch": 3.99, + "learning_rate": 0.00014985795454545455, + "loss": 1.5576, "step": 353 }, { - "epoch": 7.16, - "learning_rate": 0.00015484693877551022, - "loss": 1.5703, + "epoch": 4.0, + "learning_rate": 0.00014971590909090908, + "loss": 1.5295, "step": 354 }, { - "epoch": 7.18, - "learning_rate": 0.00015471938775510203, - "loss": 1.6141, + "epoch": 4.01, + "learning_rate": 0.00014957386363636366, + "loss": 1.4842, "step": 355 }, { - "epoch": 7.2, - "learning_rate": 0.00015459183673469389, - "loss": 1.5526, + "epoch": 4.02, + "learning_rate": 0.0001494318181818182, + "loss": 1.4803, "step": 356 }, { - "epoch": 7.22, - "learning_rate": 0.00015446428571428572, - "loss": 1.5347, + "epoch": 4.03, + "learning_rate": 0.00014928977272727273, + "loss": 1.4559, "step": 357 }, { - "epoch": 7.24, - "learning_rate": 0.00015433673469387755, - "loss": 1.5682, + "epoch": 4.04, + "learning_rate": 0.00014914772727272728, + "loss": 1.4777, "step": 358 }, { - "epoch": 7.26, - "learning_rate": 0.0001542091836734694, - "loss": 1.5292, + "epoch": 4.06, + "learning_rate": 0.00014900568181818182, + "loss": 1.4343, "step": 359 }, { - "epoch": 7.28, - "learning_rate": 0.00015408163265306124, - "loss": 1.499, + "epoch": 4.07, + "learning_rate": 0.00014886363636363635, + "loss": 1.4699, "step": 360 }, { - "epoch": 7.3, - "learning_rate": 0.00015395408163265307, - "loss": 1.5624, + "epoch": 4.08, + "learning_rate": 0.00014872159090909093, + "loss": 1.4452, "step": 361 }, { - "epoch": 7.32, - "learning_rate": 0.0001538265306122449, - "loss": 1.627, + "epoch": 4.09, + "learning_rate": 0.00014857954545454546, + "loss": 1.4461, "step": 362 }, { - "epoch": 7.34, - "learning_rate": 0.00015369897959183676, - "loss": 1.5327, + "epoch": 4.1, + "learning_rate": 0.0001484375, + "loss": 1.4523, "step": 363 }, { - "epoch": 7.37, - "learning_rate": 0.0001535714285714286, - "loss": 1.5622, + "epoch": 4.11, + "learning_rate": 0.00014829545454545455, + "loss": 1.4425, "step": 364 }, { - "epoch": 7.39, - "learning_rate": 0.00015344387755102042, - "loss": 1.5659, + "epoch": 4.12, + "learning_rate": 0.0001481534090909091, + "loss": 1.4559, "step": 365 }, { - "epoch": 7.41, - "learning_rate": 0.00015331632653061225, - "loss": 1.5019, + "epoch": 4.13, + "learning_rate": 0.00014801136363636365, + "loss": 1.4193, "step": 366 }, { - "epoch": 7.43, - "learning_rate": 0.0001531887755102041, - "loss": 1.5921, + "epoch": 4.15, + "learning_rate": 0.0001478693181818182, + "loss": 1.4136, "step": 367 }, { - "epoch": 7.45, - "learning_rate": 0.0001530612244897959, - "loss": 1.5914, + "epoch": 4.16, + "learning_rate": 0.00014772727272727274, + "loss": 1.445, "step": 368 }, { - "epoch": 7.47, - "learning_rate": 0.00015293367346938777, - "loss": 1.5045, + "epoch": 4.17, + "learning_rate": 0.00014758522727272727, + "loss": 1.4304, "step": 369 }, { - "epoch": 7.49, - "learning_rate": 0.0001528061224489796, - "loss": 1.6209, + "epoch": 4.18, + "learning_rate": 0.00014744318181818183, + "loss": 1.3996, "step": 370 }, { - "epoch": 7.51, - "learning_rate": 0.00015267857142857143, - "loss": 1.5198, + "epoch": 4.19, + "learning_rate": 0.00014730113636363636, + "loss": 1.4247, "step": 371 }, { - "epoch": 7.53, - "learning_rate": 0.00015255102040816326, - "loss": 1.5363, + "epoch": 4.2, + "learning_rate": 0.00014715909090909092, + "loss": 1.4303, "step": 372 }, { - "epoch": 7.55, - "learning_rate": 0.00015242346938775512, - "loss": 1.5391, + "epoch": 4.21, + "learning_rate": 0.00014701704545454547, + "loss": 1.4219, "step": 373 }, { - "epoch": 7.57, - "learning_rate": 0.00015229591836734695, - "loss": 1.4546, + "epoch": 4.23, + "learning_rate": 0.000146875, + "loss": 1.4538, "step": 374 }, { - "epoch": 7.59, - "learning_rate": 0.00015216836734693878, - "loss": 1.5546, + "epoch": 4.24, + "learning_rate": 0.00014673295454545454, + "loss": 1.4391, "step": 375 }, { - "epoch": 7.61, - "learning_rate": 0.0001520408163265306, - "loss": 1.5629, + "epoch": 4.25, + "learning_rate": 0.0001465909090909091, + "loss": 1.4482, "step": 376 }, { - "epoch": 7.63, - "learning_rate": 0.00015191326530612247, - "loss": 1.6002, + "epoch": 4.26, + "learning_rate": 0.00014644886363636365, + "loss": 1.4208, "step": 377 }, { - "epoch": 7.65, - "learning_rate": 0.00015178571428571427, - "loss": 1.5543, + "epoch": 4.27, + "learning_rate": 0.00014630681818181819, + "loss": 1.4111, "step": 378 }, { - "epoch": 7.67, - "learning_rate": 0.00015165816326530613, - "loss": 1.5925, + "epoch": 4.28, + "learning_rate": 0.00014616477272727274, + "loss": 1.4318, "step": 379 }, { - "epoch": 7.69, - "learning_rate": 0.00015153061224489796, - "loss": 1.5631, + "epoch": 4.29, + "learning_rate": 0.00014602272727272728, + "loss": 1.3913, "step": 380 }, { - "epoch": 7.71, - "learning_rate": 0.0001514030612244898, - "loss": 1.5677, + "epoch": 4.3, + "learning_rate": 0.0001458806818181818, + "loss": 1.3847, "step": 381 }, { - "epoch": 7.73, - "learning_rate": 0.00015127551020408165, - "loss": 1.5828, + "epoch": 4.32, + "learning_rate": 0.00014573863636363637, + "loss": 1.4254, "step": 382 }, { - "epoch": 7.75, - "learning_rate": 0.00015114795918367348, - "loss": 1.6494, + "epoch": 4.33, + "learning_rate": 0.00014559659090909093, + "loss": 1.4143, "step": 383 }, { - "epoch": 7.77, - "learning_rate": 0.0001510204081632653, - "loss": 1.553, + "epoch": 4.34, + "learning_rate": 0.00014545454545454546, + "loss": 1.4362, "step": 384 }, { - "epoch": 7.79, - "learning_rate": 0.00015089285714285714, - "loss": 1.6156, + "epoch": 4.35, + "learning_rate": 0.00014531250000000002, + "loss": 1.386, "step": 385 }, { - "epoch": 7.81, - "learning_rate": 0.000150765306122449, - "loss": 1.5001, + "epoch": 4.36, + "learning_rate": 0.00014517045454545455, + "loss": 1.4009, "step": 386 }, { - "epoch": 7.83, - "learning_rate": 0.00015063775510204083, - "loss": 1.5321, + "epoch": 4.37, + "learning_rate": 0.00014502840909090908, + "loss": 1.4089, "step": 387 }, { - "epoch": 7.85, - "learning_rate": 0.00015051020408163266, - "loss": 1.5307, + "epoch": 4.38, + "learning_rate": 0.00014488636363636366, + "loss": 1.4117, "step": 388 }, { - "epoch": 7.87, - "learning_rate": 0.0001503826530612245, - "loss": 1.5639, + "epoch": 4.39, + "learning_rate": 0.0001447443181818182, + "loss": 1.3788, "step": 389 }, { - "epoch": 7.89, - "learning_rate": 0.00015025510204081635, - "loss": 1.517, + "epoch": 4.41, + "learning_rate": 0.00014460227272727273, + "loss": 1.3573, "step": 390 }, { - "epoch": 7.91, - "learning_rate": 0.00015012755102040816, - "loss": 1.4776, + "epoch": 4.42, + "learning_rate": 0.00014446022727272729, + "loss": 1.4133, "step": 391 }, { - "epoch": 7.93, - "learning_rate": 0.00015000000000000001, - "loss": 1.5368, + "epoch": 4.43, + "learning_rate": 0.00014431818181818182, + "loss": 1.3866, "step": 392 }, { - "epoch": 7.95, - "learning_rate": 0.00014987244897959184, - "loss": 1.5636, + "epoch": 4.44, + "learning_rate": 0.00014417613636363635, + "loss": 1.3883, "step": 393 }, { - "epoch": 7.97, - "learning_rate": 0.00014974489795918368, - "loss": 1.6004, + "epoch": 4.45, + "learning_rate": 0.00014403409090909093, + "loss": 1.3741, "step": 394 }, { - "epoch": 7.99, - "learning_rate": 0.0001496173469387755, - "loss": 1.5524, + "epoch": 4.46, + "learning_rate": 0.00014389204545454547, + "loss": 1.358, "step": 395 }, { - "epoch": 8.01, - "learning_rate": 0.00014948979591836736, - "loss": 1.5307, + "epoch": 4.47, + "learning_rate": 0.00014375, + "loss": 1.3893, "step": 396 }, { - "epoch": 8.03, - "learning_rate": 0.00014936224489795917, - "loss": 1.5123, + "epoch": 4.49, + "learning_rate": 0.00014360795454545456, + "loss": 1.4062, "step": 397 }, { - "epoch": 8.05, - "learning_rate": 0.00014923469387755103, - "loss": 1.5132, + "epoch": 4.5, + "learning_rate": 0.0001434659090909091, + "loss": 1.3795, "step": 398 }, { - "epoch": 8.07, - "learning_rate": 0.00014910714285714286, - "loss": 1.5109, + "epoch": 4.51, + "learning_rate": 0.00014332386363636365, + "loss": 1.3472, "step": 399 }, { - "epoch": 8.09, - "learning_rate": 0.00014897959183673472, - "loss": 1.5302, + "epoch": 4.52, + "learning_rate": 0.0001431818181818182, + "loss": 1.3408, "step": 400 }, { - "epoch": 8.11, - "learning_rate": 0.00014885204081632652, - "loss": 1.5238, + "epoch": 4.53, + "learning_rate": 0.00014303977272727274, + "loss": 1.3801, "step": 401 }, { - "epoch": 8.13, - "learning_rate": 0.00014872448979591838, - "loss": 1.4781, + "epoch": 4.54, + "learning_rate": 0.00014289772727272727, + "loss": 1.3709, "step": 402 }, { - "epoch": 8.15, - "learning_rate": 0.0001485969387755102, - "loss": 1.5446, + "epoch": 4.55, + "learning_rate": 0.00014275568181818183, + "loss": 1.3653, "step": 403 }, { - "epoch": 8.17, - "learning_rate": 0.00014846938775510204, - "loss": 1.5, + "epoch": 4.56, + "learning_rate": 0.00014261363636363636, + "loss": 1.4089, "step": 404 }, { - "epoch": 8.19, - "learning_rate": 0.0001483418367346939, - "loss": 1.5458, + "epoch": 4.58, + "learning_rate": 0.00014247159090909092, + "loss": 1.3281, "step": 405 }, { - "epoch": 8.21, - "learning_rate": 0.00014821428571428573, - "loss": 1.5257, + "epoch": 4.59, + "learning_rate": 0.00014232954545454548, + "loss": 1.328, "step": 406 }, { - "epoch": 8.24, - "learning_rate": 0.00014808673469387756, - "loss": 1.4607, + "epoch": 4.6, + "learning_rate": 0.0001421875, + "loss": 1.3458, "step": 407 }, { - "epoch": 8.26, - "learning_rate": 0.0001479591836734694, - "loss": 1.4282, + "epoch": 4.61, + "learning_rate": 0.00014204545454545454, + "loss": 1.3425, "step": 408 }, { - "epoch": 8.28, - "learning_rate": 0.00014783163265306125, - "loss": 1.4519, + "epoch": 4.62, + "learning_rate": 0.0001419034090909091, + "loss": 1.3236, "step": 409 }, { - "epoch": 8.3, - "learning_rate": 0.00014770408163265305, - "loss": 1.475, + "epoch": 4.63, + "learning_rate": 0.00014176136363636366, + "loss": 1.3439, "step": 410 }, { - "epoch": 8.32, - "learning_rate": 0.0001475765306122449, - "loss": 1.5425, + "epoch": 4.64, + "learning_rate": 0.0001416193181818182, + "loss": 1.3397, "step": 411 }, { - "epoch": 8.34, - "learning_rate": 0.00014744897959183674, - "loss": 1.5407, + "epoch": 4.65, + "learning_rate": 0.00014147727272727275, + "loss": 1.329, "step": 412 }, { - "epoch": 8.36, - "learning_rate": 0.0001473214285714286, - "loss": 1.5698, + "epoch": 4.67, + "learning_rate": 0.00014133522727272728, + "loss": 1.3377, "step": 413 }, { - "epoch": 8.38, - "learning_rate": 0.0001471938775510204, - "loss": 1.4282, + "epoch": 4.68, + "learning_rate": 0.0001411931818181818, + "loss": 1.343, "step": 414 }, { - "epoch": 8.4, - "learning_rate": 0.00014706632653061226, - "loss": 1.5301, + "epoch": 4.69, + "learning_rate": 0.00014105113636363637, + "loss": 1.3185, "step": 415 }, { - "epoch": 8.42, - "learning_rate": 0.0001469387755102041, - "loss": 1.5083, + "epoch": 4.7, + "learning_rate": 0.00014090909090909093, + "loss": 1.3174, "step": 416 }, { - "epoch": 8.44, - "learning_rate": 0.00014681122448979592, - "loss": 1.5712, + "epoch": 4.71, + "learning_rate": 0.00014076704545454546, + "loss": 1.3231, "step": 417 }, { - "epoch": 8.46, - "learning_rate": 0.00014668367346938775, - "loss": 1.4363, + "epoch": 4.72, + "learning_rate": 0.00014062500000000002, + "loss": 1.3407, "step": 418 }, { - "epoch": 8.48, - "learning_rate": 0.0001465561224489796, - "loss": 1.4463, + "epoch": 4.73, + "learning_rate": 0.00014048295454545455, + "loss": 1.3138, "step": 419 }, { - "epoch": 8.5, - "learning_rate": 0.00014642857142857141, - "loss": 1.4738, + "epoch": 4.74, + "learning_rate": 0.00014034090909090908, + "loss": 1.3134, "step": 420 }, { - "epoch": 8.52, - "learning_rate": 0.00014630102040816327, - "loss": 1.5396, + "epoch": 4.76, + "learning_rate": 0.00014019886363636367, + "loss": 1.3187, "step": 421 }, { - "epoch": 8.54, - "learning_rate": 0.0001461734693877551, - "loss": 1.4384, + "epoch": 4.77, + "learning_rate": 0.0001400568181818182, + "loss": 1.2781, "step": 422 }, { - "epoch": 8.56, - "learning_rate": 0.00014604591836734696, - "loss": 1.5345, + "epoch": 4.78, + "learning_rate": 0.00013991477272727273, + "loss": 1.3254, "step": 423 }, { - "epoch": 8.58, - "learning_rate": 0.0001459183673469388, - "loss": 1.5355, + "epoch": 4.79, + "learning_rate": 0.0001397727272727273, + "loss": 1.2929, "step": 424 }, { - "epoch": 8.6, - "learning_rate": 0.00014579081632653062, - "loss": 1.5188, + "epoch": 4.8, + "learning_rate": 0.00013963068181818182, + "loss": 1.2953, "step": 425 }, { - "epoch": 8.62, - "learning_rate": 0.00014566326530612245, - "loss": 1.5575, + "epoch": 4.81, + "learning_rate": 0.00013948863636363635, + "loss": 1.3202, "step": 426 }, { - "epoch": 8.64, - "learning_rate": 0.00014553571428571428, - "loss": 1.5279, + "epoch": 4.82, + "learning_rate": 0.00013934659090909094, + "loss": 1.3118, "step": 427 }, { - "epoch": 8.66, - "learning_rate": 0.00014540816326530614, - "loss": 1.5484, + "epoch": 4.84, + "learning_rate": 0.00013920454545454547, + "loss": 1.3046, "step": 428 }, { - "epoch": 8.68, - "learning_rate": 0.00014528061224489797, - "loss": 1.4878, + "epoch": 4.85, + "learning_rate": 0.0001390625, + "loss": 1.2708, "step": 429 }, { - "epoch": 8.7, - "learning_rate": 0.0001451530612244898, - "loss": 1.503, + "epoch": 4.86, + "learning_rate": 0.00013892045454545456, + "loss": 1.2835, "step": 430 }, { - "epoch": 8.72, - "learning_rate": 0.00014502551020408163, - "loss": 1.4723, + "epoch": 4.87, + "learning_rate": 0.0001387784090909091, + "loss": 1.2728, "step": 431 }, { - "epoch": 8.74, - "learning_rate": 0.0001448979591836735, - "loss": 1.5579, + "epoch": 4.88, + "learning_rate": 0.00013863636363636365, + "loss": 1.3107, "step": 432 }, { - "epoch": 8.76, - "learning_rate": 0.0001447704081632653, - "loss": 1.4789, + "epoch": 4.89, + "learning_rate": 0.0001384943181818182, + "loss": 1.2615, "step": 433 }, { - "epoch": 8.78, - "learning_rate": 0.00014464285714285715, - "loss": 1.5501, + "epoch": 4.9, + "learning_rate": 0.00013835227272727274, + "loss": 1.2754, "step": 434 }, { - "epoch": 8.8, - "learning_rate": 0.00014451530612244899, - "loss": 1.5204, + "epoch": 4.91, + "learning_rate": 0.00013821022727272727, + "loss": 1.3018, "step": 435 }, { - "epoch": 8.82, - "learning_rate": 0.00014438775510204084, - "loss": 1.5489, + "epoch": 4.93, + "learning_rate": 0.00013806818181818183, + "loss": 1.2878, "step": 436 }, { - "epoch": 8.84, - "learning_rate": 0.00014426020408163265, - "loss": 1.5464, + "epoch": 4.94, + "learning_rate": 0.00013792613636363636, + "loss": 1.2595, "step": 437 }, { - "epoch": 8.86, - "learning_rate": 0.0001441326530612245, - "loss": 1.5896, + "epoch": 4.95, + "learning_rate": 0.00013778409090909092, + "loss": 1.2688, "step": 438 }, { - "epoch": 8.88, - "learning_rate": 0.00014400510204081634, - "loss": 1.5465, + "epoch": 4.96, + "learning_rate": 0.00013764204545454548, + "loss": 1.2669, "step": 439 }, { - "epoch": 8.9, - "learning_rate": 0.00014387755102040817, - "loss": 1.5094, + "epoch": 4.97, + "learning_rate": 0.0001375, + "loss": 1.2861, "step": 440 }, { - "epoch": 8.92, - "learning_rate": 0.00014375, - "loss": 1.5144, + "epoch": 4.98, + "learning_rate": 0.00013735795454545454, + "loss": 1.2536, "step": 441 }, { - "epoch": 8.94, - "learning_rate": 0.00014362244897959186, - "loss": 1.4919, + "epoch": 4.99, + "learning_rate": 0.0001372159090909091, + "loss": 1.2584, "step": 442 }, { - "epoch": 8.96, - "learning_rate": 0.00014349489795918366, - "loss": 1.4702, + "epoch": 5.0, + "learning_rate": 0.00013707386363636366, + "loss": 1.2203, "step": 443 }, { - "epoch": 8.98, - "learning_rate": 0.00014336734693877552, - "loss": 1.4996, + "epoch": 5.02, + "learning_rate": 0.0001369318181818182, + "loss": 1.1796, "step": 444 }, { - "epoch": 9.0, - "learning_rate": 0.00014323979591836735, - "loss": 1.5503, + "epoch": 5.03, + "learning_rate": 0.00013678977272727275, + "loss": 1.1856, "step": 445 }, { - "epoch": 9.02, - "learning_rate": 0.00014311224489795918, - "loss": 1.4125, + "epoch": 5.04, + "learning_rate": 0.00013664772727272728, + "loss": 1.1801, "step": 446 }, { - "epoch": 9.04, - "learning_rate": 0.00014298469387755104, - "loss": 1.4722, + "epoch": 5.05, + "learning_rate": 0.0001365056818181818, + "loss": 1.1761, "step": 447 }, { - "epoch": 9.06, - "learning_rate": 0.00014285714285714287, - "loss": 1.5199, + "epoch": 5.06, + "learning_rate": 0.00013636363636363637, + "loss": 1.1495, "step": 448 }, { - "epoch": 9.09, - "learning_rate": 0.0001427295918367347, - "loss": 1.4571, + "epoch": 5.07, + "learning_rate": 0.00013622159090909093, + "loss": 1.1903, "step": 449 }, { - "epoch": 9.11, - "learning_rate": 0.00014260204081632653, - "loss": 1.4996, + "epoch": 5.08, + "learning_rate": 0.00013607954545454546, + "loss": 1.1778, "step": 450 }, { - "epoch": 9.13, - "learning_rate": 0.0001424744897959184, - "loss": 1.4092, + "epoch": 5.1, + "learning_rate": 0.00013593750000000002, + "loss": 1.1902, "step": 451 }, { - "epoch": 9.15, - "learning_rate": 0.00014234693877551022, - "loss": 1.4198, + "epoch": 5.11, + "learning_rate": 0.00013579545454545455, + "loss": 1.1597, "step": 452 }, { - "epoch": 9.17, - "learning_rate": 0.00014221938775510205, - "loss": 1.4916, + "epoch": 5.12, + "learning_rate": 0.00013565340909090908, + "loss": 1.1529, "step": 453 }, { - "epoch": 9.19, - "learning_rate": 0.00014209183673469388, - "loss": 1.5051, + "epoch": 5.13, + "learning_rate": 0.00013551136363636364, + "loss": 1.1627, "step": 454 }, { - "epoch": 9.21, - "learning_rate": 0.00014196428571428574, - "loss": 1.4321, + "epoch": 5.14, + "learning_rate": 0.0001353693181818182, + "loss": 1.1613, "step": 455 }, { - "epoch": 9.23, - "learning_rate": 0.00014183673469387754, - "loss": 1.4097, + "epoch": 5.15, + "learning_rate": 0.00013522727272727273, + "loss": 1.1336, "step": 456 }, { - "epoch": 9.25, - "learning_rate": 0.0001417091836734694, - "loss": 1.4853, + "epoch": 5.16, + "learning_rate": 0.0001350852272727273, + "loss": 1.1369, "step": 457 }, { - "epoch": 9.27, - "learning_rate": 0.00014158163265306123, - "loss": 1.4593, + "epoch": 5.17, + "learning_rate": 0.00013494318181818182, + "loss": 1.1592, "step": 458 }, { - "epoch": 9.29, - "learning_rate": 0.00014145408163265306, - "loss": 1.3729, + "epoch": 5.19, + "learning_rate": 0.00013480113636363635, + "loss": 1.1482, "step": 459 }, { - "epoch": 9.31, - "learning_rate": 0.0001413265306122449, - "loss": 1.4467, + "epoch": 5.2, + "learning_rate": 0.00013465909090909094, + "loss": 1.1857, "step": 460 }, { - "epoch": 9.33, - "learning_rate": 0.00014119897959183675, - "loss": 1.4467, + "epoch": 5.21, + "learning_rate": 0.00013451704545454547, + "loss": 1.1651, "step": 461 }, { - "epoch": 9.35, - "learning_rate": 0.00014107142857142858, - "loss": 1.4785, + "epoch": 5.22, + "learning_rate": 0.000134375, + "loss": 1.1544, "step": 462 }, { - "epoch": 9.37, - "learning_rate": 0.0001409438775510204, - "loss": 1.4089, + "epoch": 5.23, + "learning_rate": 0.00013423295454545456, + "loss": 1.125, "step": 463 }, { - "epoch": 9.39, - "learning_rate": 0.00014081632653061224, - "loss": 1.5026, + "epoch": 5.24, + "learning_rate": 0.0001340909090909091, + "loss": 1.167, "step": 464 }, { - "epoch": 9.41, - "learning_rate": 0.0001406887755102041, - "loss": 1.4857, + "epoch": 5.25, + "learning_rate": 0.00013394886363636365, + "loss": 1.1316, "step": 465 }, { - "epoch": 9.43, - "learning_rate": 0.0001405612244897959, - "loss": 1.3745, + "epoch": 5.26, + "learning_rate": 0.0001338068181818182, + "loss": 1.1604, "step": 466 }, { - "epoch": 9.45, - "learning_rate": 0.00014043367346938776, - "loss": 1.4733, + "epoch": 5.28, + "learning_rate": 0.00013366477272727274, + "loss": 1.2005, "step": 467 }, { - "epoch": 9.47, - "learning_rate": 0.0001403061224489796, - "loss": 1.5212, + "epoch": 5.29, + "learning_rate": 0.00013352272727272727, + "loss": 1.1496, "step": 468 }, { - "epoch": 9.49, - "learning_rate": 0.00014017857142857142, - "loss": 1.5398, + "epoch": 5.3, + "learning_rate": 0.00013338068181818183, + "loss": 1.1331, "step": 469 }, { - "epoch": 9.51, - "learning_rate": 0.00014005102040816328, - "loss": 1.478, + "epoch": 5.31, + "learning_rate": 0.00013323863636363636, + "loss": 1.1414, "step": 470 }, { - "epoch": 9.53, - "learning_rate": 0.0001399234693877551, - "loss": 1.496, + "epoch": 5.32, + "learning_rate": 0.00013309659090909092, + "loss": 1.0945, "step": 471 }, { - "epoch": 9.55, - "learning_rate": 0.00013979591836734694, - "loss": 1.4837, + "epoch": 5.33, + "learning_rate": 0.00013295454545454548, + "loss": 1.1305, "step": 472 }, { - "epoch": 9.57, - "learning_rate": 0.00013966836734693878, - "loss": 1.4724, + "epoch": 5.34, + "learning_rate": 0.0001328125, + "loss": 1.1293, "step": 473 }, { - "epoch": 9.59, - "learning_rate": 0.00013954081632653063, - "loss": 1.4828, + "epoch": 5.35, + "learning_rate": 0.00013267045454545454, + "loss": 1.163, "step": 474 }, { - "epoch": 9.61, - "learning_rate": 0.00013941326530612246, - "loss": 1.5012, + "epoch": 5.37, + "learning_rate": 0.0001325284090909091, + "loss": 1.1236, "step": 475 }, { - "epoch": 9.63, - "learning_rate": 0.0001392857142857143, - "loss": 1.4879, + "epoch": 5.38, + "learning_rate": 0.00013238636363636366, + "loss": 1.1236, "step": 476 }, { - "epoch": 9.65, - "learning_rate": 0.00013915816326530613, - "loss": 1.4196, + "epoch": 5.39, + "learning_rate": 0.0001322443181818182, + "loss": 1.1228, "step": 477 }, { - "epoch": 9.67, - "learning_rate": 0.00013903061224489798, - "loss": 1.4915, + "epoch": 5.4, + "learning_rate": 0.00013210227272727275, + "loss": 1.0993, "step": 478 }, { - "epoch": 9.69, - "learning_rate": 0.0001389030612244898, - "loss": 1.3878, + "epoch": 5.41, + "learning_rate": 0.00013196022727272728, + "loss": 1.1139, "step": 479 }, { - "epoch": 9.71, - "learning_rate": 0.00013877551020408165, - "loss": 1.466, + "epoch": 5.42, + "learning_rate": 0.0001318181818181818, + "loss": 1.1019, "step": 480 }, { - "epoch": 9.73, - "learning_rate": 0.00013864795918367348, - "loss": 1.4582, + "epoch": 5.43, + "learning_rate": 0.00013167613636363637, + "loss": 1.0935, "step": 481 }, { - "epoch": 9.75, - "learning_rate": 0.0001385204081632653, - "loss": 1.533, + "epoch": 5.45, + "learning_rate": 0.00013153409090909093, + "loss": 1.1067, "step": 482 }, { - "epoch": 9.77, - "learning_rate": 0.00013839285714285714, - "loss": 1.4697, + "epoch": 5.46, + "learning_rate": 0.00013139204545454546, + "loss": 1.0848, "step": 483 }, { - "epoch": 9.79, - "learning_rate": 0.000138265306122449, - "loss": 1.3989, + "epoch": 5.47, + "learning_rate": 0.00013125000000000002, + "loss": 1.1188, "step": 484 }, { - "epoch": 9.81, - "learning_rate": 0.00013813775510204083, - "loss": 1.4361, + "epoch": 5.48, + "learning_rate": 0.00013110795454545455, + "loss": 1.1275, "step": 485 }, { - "epoch": 9.83, - "learning_rate": 0.00013801020408163266, - "loss": 1.5271, + "epoch": 5.49, + "learning_rate": 0.00013096590909090908, + "loss": 1.1211, "step": 486 }, { - "epoch": 9.85, - "learning_rate": 0.0001378826530612245, - "loss": 1.4905, + "epoch": 5.5, + "learning_rate": 0.00013082386363636364, + "loss": 1.1049, "step": 487 }, { - "epoch": 9.87, - "learning_rate": 0.00013775510204081635, - "loss": 1.4757, + "epoch": 5.51, + "learning_rate": 0.0001306818181818182, + "loss": 1.1057, "step": 488 }, { - "epoch": 9.89, - "learning_rate": 0.00013762755102040815, - "loss": 1.5485, + "epoch": 5.52, + "learning_rate": 0.00013053977272727273, + "loss": 1.0909, "step": 489 }, { - "epoch": 9.91, - "learning_rate": 0.0001375, - "loss": 1.4783, + "epoch": 5.54, + "learning_rate": 0.0001303977272727273, + "loss": 1.1138, "step": 490 }, { - "epoch": 9.93, - "learning_rate": 0.00013737244897959184, - "loss": 1.4849, + "epoch": 5.55, + "learning_rate": 0.00013025568181818182, + "loss": 1.1094, "step": 491 }, { - "epoch": 9.96, - "learning_rate": 0.00013724489795918367, - "loss": 1.5382, + "epoch": 5.56, + "learning_rate": 0.00013011363636363635, + "loss": 1.1187, "step": 492 }, { - "epoch": 9.98, - "learning_rate": 0.00013711734693877553, - "loss": 1.4902, + "epoch": 5.57, + "learning_rate": 0.0001299715909090909, + "loss": 1.1039, "step": 493 }, { - "epoch": 10.0, - "learning_rate": 0.00013698979591836736, - "loss": 1.4865, + "epoch": 5.58, + "learning_rate": 0.00012982954545454547, + "loss": 1.056, "step": 494 }, { - "epoch": 10.02, - "learning_rate": 0.0001368622448979592, - "loss": 1.4436, + "epoch": 5.59, + "learning_rate": 0.0001296875, + "loss": 1.0842, "step": 495 }, { - "epoch": 10.04, - "learning_rate": 0.00013673469387755102, - "loss": 1.408, + "epoch": 5.6, + "learning_rate": 0.00012954545454545456, + "loss": 1.0749, "step": 496 }, { - "epoch": 10.06, - "learning_rate": 0.00013660714285714288, - "loss": 1.4764, + "epoch": 5.61, + "learning_rate": 0.0001294034090909091, + "loss": 1.1121, "step": 497 }, { - "epoch": 10.08, - "learning_rate": 0.0001364795918367347, - "loss": 1.4646, + "epoch": 5.63, + "learning_rate": 0.00012926136363636365, + "loss": 1.0772, "step": 498 }, { - "epoch": 10.1, - "learning_rate": 0.00013635204081632654, - "loss": 1.406, + "epoch": 5.64, + "learning_rate": 0.00012911931818181818, + "loss": 1.0845, "step": 499 }, { - "epoch": 10.12, - "learning_rate": 0.00013622448979591837, - "loss": 1.4785, + "epoch": 5.65, + "learning_rate": 0.00012897727272727274, + "loss": 1.0534, "step": 500 }, { - "epoch": 10.14, - "learning_rate": 0.00013609693877551023, - "loss": 1.4117, + "epoch": 5.66, + "learning_rate": 0.00012883522727272727, + "loss": 1.0755, "step": 501 }, { - "epoch": 10.16, - "learning_rate": 0.00013596938775510203, - "loss": 1.4108, + "epoch": 5.67, + "learning_rate": 0.00012869318181818183, + "loss": 1.0755, "step": 502 }, { - "epoch": 10.18, - "learning_rate": 0.0001358418367346939, - "loss": 1.4155, + "epoch": 5.68, + "learning_rate": 0.00012855113636363636, + "loss": 1.0869, "step": 503 }, { - "epoch": 10.2, - "learning_rate": 0.00013571428571428572, - "loss": 1.4021, + "epoch": 5.69, + "learning_rate": 0.00012840909090909092, + "loss": 1.0673, "step": 504 }, { - "epoch": 10.22, - "learning_rate": 0.00013558673469387755, - "loss": 1.411, + "epoch": 5.71, + "learning_rate": 0.00012826704545454545, + "loss": 1.0692, "step": 505 }, { - "epoch": 10.24, - "learning_rate": 0.00013545918367346938, - "loss": 1.3851, + "epoch": 5.72, + "learning_rate": 0.000128125, + "loss": 1.0474, "step": 506 }, { - "epoch": 10.26, - "learning_rate": 0.00013533163265306124, - "loss": 1.387, + "epoch": 5.73, + "learning_rate": 0.00012798295454545454, + "loss": 1.0749, "step": 507 }, { - "epoch": 10.28, - "learning_rate": 0.00013520408163265305, - "loss": 1.4163, + "epoch": 5.74, + "learning_rate": 0.0001278409090909091, + "loss": 1.0519, "step": 508 }, { - "epoch": 10.3, - "learning_rate": 0.0001350765306122449, - "loss": 1.3343, + "epoch": 5.75, + "learning_rate": 0.00012769886363636366, + "loss": 1.0566, "step": 509 }, { - "epoch": 10.32, - "learning_rate": 0.00013494897959183673, - "loss": 1.4811, + "epoch": 5.76, + "learning_rate": 0.0001275568181818182, + "loss": 1.06, "step": 510 }, { - "epoch": 10.34, - "learning_rate": 0.0001348214285714286, - "loss": 1.4086, + "epoch": 5.77, + "learning_rate": 0.00012741477272727272, + "loss": 1.0618, "step": 511 }, { - "epoch": 10.36, - "learning_rate": 0.0001346938775510204, - "loss": 1.3879, + "epoch": 5.78, + "learning_rate": 0.00012727272727272728, + "loss": 1.0643, "step": 512 }, { - "epoch": 10.38, - "learning_rate": 0.00013456632653061225, - "loss": 1.4204, + "epoch": 5.8, + "learning_rate": 0.0001271306818181818, + "loss": 1.026, "step": 513 }, { - "epoch": 10.4, - "learning_rate": 0.00013443877551020408, - "loss": 1.4158, + "epoch": 5.81, + "learning_rate": 0.00012698863636363637, + "loss": 1.0335, "step": 514 }, { - "epoch": 10.42, - "learning_rate": 0.00013431122448979592, - "loss": 1.4521, + "epoch": 5.82, + "learning_rate": 0.00012684659090909093, + "loss": 1.0205, "step": 515 }, { - "epoch": 10.44, - "learning_rate": 0.00013418367346938777, - "loss": 1.4196, + "epoch": 5.83, + "learning_rate": 0.00012670454545454546, + "loss": 1.0594, "step": 516 }, { - "epoch": 10.46, - "learning_rate": 0.0001340561224489796, - "loss": 1.4361, + "epoch": 5.84, + "learning_rate": 0.0001265625, + "loss": 1.0136, "step": 517 }, { - "epoch": 10.48, - "learning_rate": 0.00013392857142857144, - "loss": 1.4482, + "epoch": 5.85, + "learning_rate": 0.00012642045454545455, + "loss": 1.0244, "step": 518 }, { - "epoch": 10.5, - "learning_rate": 0.00013380102040816327, - "loss": 1.4801, + "epoch": 5.86, + "learning_rate": 0.00012627840909090908, + "loss": 1.0569, "step": 519 }, { - "epoch": 10.52, - "learning_rate": 0.00013367346938775512, - "loss": 1.4556, + "epoch": 5.87, + "learning_rate": 0.00012613636363636364, + "loss": 1.0416, "step": 520 }, { - "epoch": 10.54, - "learning_rate": 0.00013354591836734695, - "loss": 1.3902, + "epoch": 5.89, + "learning_rate": 0.0001259943181818182, + "loss": 0.9884, "step": 521 }, { - "epoch": 10.56, - "learning_rate": 0.00013341836734693879, - "loss": 1.4269, + "epoch": 5.9, + "learning_rate": 0.00012585227272727273, + "loss": 1.0351, "step": 522 }, { - "epoch": 10.58, - "learning_rate": 0.00013329081632653062, - "loss": 1.4899, + "epoch": 5.91, + "learning_rate": 0.00012571022727272726, + "loss": 1.0037, "step": 523 }, { - "epoch": 10.6, - "learning_rate": 0.00013316326530612247, - "loss": 1.3952, + "epoch": 5.92, + "learning_rate": 0.00012556818181818182, + "loss": 1.0219, "step": 524 }, { - "epoch": 10.62, - "learning_rate": 0.00013303571428571428, - "loss": 1.4116, + "epoch": 5.93, + "learning_rate": 0.00012542613636363635, + "loss": 1.0533, "step": 525 }, { - "epoch": 10.64, - "learning_rate": 0.00013290816326530614, - "loss": 1.4583, + "epoch": 5.94, + "learning_rate": 0.0001252840909090909, + "loss": 1.0031, "step": 526 }, { - "epoch": 10.66, - "learning_rate": 0.00013278061224489797, - "loss": 1.4466, + "epoch": 5.95, + "learning_rate": 0.00012514204545454547, + "loss": 1.0454, "step": 527 }, { - "epoch": 10.68, - "learning_rate": 0.0001326530612244898, - "loss": 1.4242, + "epoch": 5.97, + "learning_rate": 0.000125, + "loss": 1.0195, "step": 528 }, { - "epoch": 10.7, - "learning_rate": 0.00013252551020408163, - "loss": 1.3717, + "epoch": 5.98, + "learning_rate": 0.00012485795454545453, + "loss": 1.0076, "step": 529 }, { - "epoch": 10.72, - "learning_rate": 0.0001323979591836735, - "loss": 1.4583, + "epoch": 5.99, + "learning_rate": 0.0001247159090909091, + "loss": 1.0378, "step": 530 }, { - "epoch": 10.74, - "learning_rate": 0.0001322704081632653, - "loss": 1.4185, + "epoch": 6.0, + "learning_rate": 0.00012457386363636365, + "loss": 0.9795, "step": 531 }, { - "epoch": 10.76, - "learning_rate": 0.00013214285714285715, - "loss": 1.4287, + "epoch": 6.01, + "learning_rate": 0.00012443181818181818, + "loss": 0.9405, "step": 532 }, { - "epoch": 10.78, - "learning_rate": 0.00013201530612244898, - "loss": 1.4385, + "epoch": 6.02, + "learning_rate": 0.00012428977272727274, + "loss": 0.9503, "step": 533 }, { - "epoch": 10.8, - "learning_rate": 0.00013188775510204084, - "loss": 1.453, + "epoch": 6.03, + "learning_rate": 0.00012414772727272727, + "loss": 0.9456, "step": 534 }, { - "epoch": 10.83, - "learning_rate": 0.00013176020408163264, - "loss": 1.4161, + "epoch": 6.04, + "learning_rate": 0.0001240056818181818, + "loss": 0.9536, "step": 535 }, { - "epoch": 10.85, - "learning_rate": 0.0001316326530612245, - "loss": 1.457, + "epoch": 6.06, + "learning_rate": 0.00012386363636363636, + "loss": 0.9412, "step": 536 }, { - "epoch": 10.87, - "learning_rate": 0.00013150510204081633, - "loss": 1.4367, + "epoch": 6.07, + "learning_rate": 0.00012372159090909092, + "loss": 0.9315, "step": 537 }, { - "epoch": 10.89, - "learning_rate": 0.00013137755102040816, - "loss": 1.4256, + "epoch": 6.08, + "learning_rate": 0.00012357954545454545, + "loss": 0.9486, "step": 538 }, { - "epoch": 10.91, - "learning_rate": 0.00013125000000000002, - "loss": 1.424, + "epoch": 6.09, + "learning_rate": 0.0001234375, + "loss": 0.9405, "step": 539 }, { - "epoch": 10.93, - "learning_rate": 0.00013112244897959185, - "loss": 1.3923, + "epoch": 6.1, + "learning_rate": 0.00012329545454545454, + "loss": 0.9269, "step": 540 }, { - "epoch": 10.95, - "learning_rate": 0.00013099489795918368, - "loss": 1.4225, + "epoch": 6.11, + "learning_rate": 0.0001231534090909091, + "loss": 0.9378, "step": 541 }, { - "epoch": 10.97, - "learning_rate": 0.0001308673469387755, - "loss": 1.3969, + "epoch": 6.12, + "learning_rate": 0.00012301136363636366, + "loss": 0.9431, "step": 542 }, { - "epoch": 10.99, - "learning_rate": 0.00013073979591836737, - "loss": 1.4446, + "epoch": 6.13, + "learning_rate": 0.0001228693181818182, + "loss": 0.9256, "step": 543 }, { - "epoch": 11.01, - "learning_rate": 0.00013061224489795917, - "loss": 1.4375, + "epoch": 6.15, + "learning_rate": 0.00012272727272727272, + "loss": 0.919, "step": 544 }, { - "epoch": 11.03, - "learning_rate": 0.00013048469387755103, - "loss": 1.4064, + "epoch": 6.16, + "learning_rate": 0.00012258522727272728, + "loss": 0.9188, "step": 545 }, { - "epoch": 11.05, - "learning_rate": 0.00013035714285714286, - "loss": 1.3454, + "epoch": 6.17, + "learning_rate": 0.00012244318181818181, + "loss": 0.9447, "step": 546 }, { - "epoch": 11.07, - "learning_rate": 0.00013022959183673472, - "loss": 1.3234, + "epoch": 6.18, + "learning_rate": 0.00012230113636363637, + "loss": 0.9261, "step": 547 }, { - "epoch": 11.09, - "learning_rate": 0.00013010204081632652, - "loss": 1.3759, + "epoch": 6.19, + "learning_rate": 0.00012215909090909093, + "loss": 0.9302, "step": 548 }, { - "epoch": 11.11, - "learning_rate": 0.00012997448979591838, - "loss": 1.4221, + "epoch": 6.2, + "learning_rate": 0.00012201704545454546, + "loss": 0.9161, "step": 549 }, { - "epoch": 11.13, - "learning_rate": 0.0001298469387755102, - "loss": 1.4261, + "epoch": 6.21, + "learning_rate": 0.00012187500000000001, + "loss": 0.9521, "step": 550 }, { - "epoch": 11.15, - "learning_rate": 0.00012971938775510204, - "loss": 1.3341, + "epoch": 6.22, + "learning_rate": 0.00012173295454545455, + "loss": 0.9026, "step": 551 }, { - "epoch": 11.17, - "learning_rate": 0.00012959183673469387, - "loss": 1.3994, + "epoch": 6.24, + "learning_rate": 0.00012159090909090908, + "loss": 0.9361, "step": 552 }, { - "epoch": 11.19, - "learning_rate": 0.00012946428571428573, - "loss": 1.3894, + "epoch": 6.25, + "learning_rate": 0.00012144886363636366, + "loss": 0.8944, "step": 553 }, { - "epoch": 11.21, - "learning_rate": 0.00012933673469387754, - "loss": 1.3585, + "epoch": 6.26, + "learning_rate": 0.00012130681818181819, + "loss": 0.895, "step": 554 }, { - "epoch": 11.23, - "learning_rate": 0.0001292091836734694, - "loss": 1.3763, + "epoch": 6.27, + "learning_rate": 0.00012116477272727273, + "loss": 0.8956, "step": 555 }, { - "epoch": 11.25, - "learning_rate": 0.00012908163265306123, - "loss": 1.3623, + "epoch": 6.28, + "learning_rate": 0.00012102272727272728, + "loss": 0.8998, "step": 556 }, { - "epoch": 11.27, - "learning_rate": 0.00012895408163265306, - "loss": 1.3907, + "epoch": 6.29, + "learning_rate": 0.00012088068181818182, + "loss": 0.915, "step": 557 }, { - "epoch": 11.29, - "learning_rate": 0.0001288265306122449, - "loss": 1.3807, + "epoch": 6.3, + "learning_rate": 0.00012073863636363636, + "loss": 0.9282, "step": 558 }, { - "epoch": 11.31, - "learning_rate": 0.00012869897959183674, - "loss": 1.4045, + "epoch": 6.32, + "learning_rate": 0.00012059659090909093, + "loss": 0.8938, "step": 559 }, { - "epoch": 11.33, - "learning_rate": 0.00012857142857142858, - "loss": 1.4038, + "epoch": 6.33, + "learning_rate": 0.00012045454545454546, + "loss": 0.8886, "step": 560 }, { - "epoch": 11.35, - "learning_rate": 0.0001284438775510204, - "loss": 1.3466, + "epoch": 6.34, + "learning_rate": 0.0001203125, + "loss": 0.8988, "step": 561 }, { - "epoch": 11.37, - "learning_rate": 0.00012831632653061226, - "loss": 1.3449, + "epoch": 6.35, + "learning_rate": 0.00012017045454545455, + "loss": 0.8852, "step": 562 }, { - "epoch": 11.39, - "learning_rate": 0.0001281887755102041, - "loss": 1.3866, + "epoch": 6.36, + "learning_rate": 0.0001200284090909091, + "loss": 0.8818, "step": 563 }, { - "epoch": 11.41, - "learning_rate": 0.00012806122448979593, - "loss": 1.3106, + "epoch": 6.37, + "learning_rate": 0.00011988636363636365, + "loss": 0.8881, "step": 564 }, { - "epoch": 11.43, - "learning_rate": 0.00012793367346938776, - "loss": 1.4414, + "epoch": 6.38, + "learning_rate": 0.0001197443181818182, + "loss": 0.9226, "step": 565 }, { - "epoch": 11.45, - "learning_rate": 0.00012780612244897962, - "loss": 1.3737, + "epoch": 6.39, + "learning_rate": 0.00011960227272727273, + "loss": 0.8849, "step": 566 }, { - "epoch": 11.47, - "learning_rate": 0.00012767857142857142, - "loss": 1.4053, + "epoch": 6.41, + "learning_rate": 0.00011946022727272727, + "loss": 0.8894, "step": 567 }, { - "epoch": 11.49, - "learning_rate": 0.00012755102040816328, - "loss": 1.4561, + "epoch": 6.42, + "learning_rate": 0.00011931818181818182, + "loss": 0.9207, "step": 568 }, { - "epoch": 11.51, - "learning_rate": 0.0001274234693877551, - "loss": 1.3684, + "epoch": 6.43, + "learning_rate": 0.00011917613636363636, + "loss": 0.9105, "step": 569 }, { - "epoch": 11.53, - "learning_rate": 0.00012729591836734697, - "loss": 1.3117, + "epoch": 6.44, + "learning_rate": 0.00011903409090909092, + "loss": 0.8762, "step": 570 }, { - "epoch": 11.55, - "learning_rate": 0.00012716836734693877, - "loss": 1.3474, + "epoch": 6.45, + "learning_rate": 0.00011889204545454547, + "loss": 0.8926, "step": 571 }, { - "epoch": 11.57, - "learning_rate": 0.00012704081632653063, - "loss": 1.3804, + "epoch": 6.46, + "learning_rate": 0.00011875, + "loss": 0.8719, "step": 572 }, { - "epoch": 11.59, - "learning_rate": 0.00012691326530612246, - "loss": 1.3656, + "epoch": 6.47, + "learning_rate": 0.00011860795454545454, + "loss": 0.9198, "step": 573 }, { - "epoch": 11.61, - "learning_rate": 0.0001267857142857143, - "loss": 1.3133, + "epoch": 6.48, + "learning_rate": 0.00011846590909090909, + "loss": 0.8846, "step": 574 }, { - "epoch": 11.63, - "learning_rate": 0.00012665816326530612, - "loss": 1.4077, + "epoch": 6.5, + "learning_rate": 0.00011832386363636365, + "loss": 0.8495, "step": 575 }, { - "epoch": 11.65, - "learning_rate": 0.00012653061224489798, - "loss": 1.4087, + "epoch": 6.51, + "learning_rate": 0.0001181818181818182, + "loss": 0.8953, "step": 576 }, { - "epoch": 11.67, - "learning_rate": 0.00012640306122448978, - "loss": 1.3524, + "epoch": 6.52, + "learning_rate": 0.00011803977272727274, + "loss": 0.8686, "step": 577 }, { - "epoch": 11.7, - "learning_rate": 0.00012627551020408164, - "loss": 1.3481, + "epoch": 6.53, + "learning_rate": 0.00011789772727272727, + "loss": 0.8841, "step": 578 }, { - "epoch": 11.72, - "learning_rate": 0.00012614795918367347, - "loss": 1.4497, + "epoch": 6.54, + "learning_rate": 0.00011775568181818182, + "loss": 0.8681, "step": 579 }, { - "epoch": 11.74, - "learning_rate": 0.0001260204081632653, - "loss": 1.3866, + "epoch": 6.55, + "learning_rate": 0.00011761363636363636, + "loss": 0.8732, "step": 580 }, { - "epoch": 11.76, - "learning_rate": 0.00012589285714285713, - "loss": 1.42, + "epoch": 6.56, + "learning_rate": 0.00011747159090909092, + "loss": 0.8582, "step": 581 }, { - "epoch": 11.78, - "learning_rate": 0.000125765306122449, - "loss": 1.3562, + "epoch": 6.58, + "learning_rate": 0.00011732954545454546, + "loss": 0.8744, "step": 582 }, { - "epoch": 11.8, - "learning_rate": 0.00012563775510204082, - "loss": 1.3249, + "epoch": 6.59, + "learning_rate": 0.00011718750000000001, + "loss": 0.8694, "step": 583 }, { - "epoch": 11.82, - "learning_rate": 0.00012551020408163265, - "loss": 1.4277, + "epoch": 6.6, + "learning_rate": 0.00011704545454545454, + "loss": 0.8565, "step": 584 }, { - "epoch": 11.84, - "learning_rate": 0.0001253826530612245, - "loss": 1.3734, + "epoch": 6.61, + "learning_rate": 0.00011690340909090909, + "loss": 0.8584, "step": 585 }, { - "epoch": 11.86, - "learning_rate": 0.00012525510204081634, - "loss": 1.3765, + "epoch": 6.62, + "learning_rate": 0.00011676136363636366, + "loss": 0.8859, "step": 586 }, { - "epoch": 11.88, - "learning_rate": 0.00012512755102040817, - "loss": 1.4153, + "epoch": 6.63, + "learning_rate": 0.00011661931818181819, + "loss": 0.8452, "step": 587 }, { - "epoch": 11.9, - "learning_rate": 0.000125, - "loss": 1.3847, + "epoch": 6.64, + "learning_rate": 0.00011647727272727273, + "loss": 0.8323, "step": 588 }, { - "epoch": 11.92, - "learning_rate": 0.00012487244897959186, - "loss": 1.3824, + "epoch": 6.65, + "learning_rate": 0.00011633522727272728, + "loss": 0.8548, "step": 589 }, { - "epoch": 11.94, - "learning_rate": 0.00012474489795918366, - "loss": 1.3938, + "epoch": 6.67, + "learning_rate": 0.00011619318181818181, + "loss": 0.8506, "step": 590 }, { - "epoch": 11.96, - "learning_rate": 0.00012461734693877552, - "loss": 1.4143, + "epoch": 6.68, + "learning_rate": 0.00011605113636363636, + "loss": 0.8556, "step": 591 }, { - "epoch": 11.98, - "learning_rate": 0.00012448979591836735, - "loss": 1.3794, + "epoch": 6.69, + "learning_rate": 0.00011590909090909093, + "loss": 0.8459, "step": 592 }, { - "epoch": 12.0, - "learning_rate": 0.00012436224489795918, - "loss": 1.3755, + "epoch": 6.7, + "learning_rate": 0.00011576704545454546, + "loss": 0.8432, "step": 593 }, { - "epoch": 12.02, - "learning_rate": 0.00012423469387755101, - "loss": 1.3736, + "epoch": 6.71, + "learning_rate": 0.000115625, + "loss": 0.8645, "step": 594 }, { - "epoch": 12.04, - "learning_rate": 0.00012410714285714287, - "loss": 1.2957, + "epoch": 6.72, + "learning_rate": 0.00011548295454545455, + "loss": 0.86, "step": 595 }, { - "epoch": 12.06, - "learning_rate": 0.0001239795918367347, - "loss": 1.2996, + "epoch": 6.73, + "learning_rate": 0.00011534090909090908, + "loss": 0.8161, "step": 596 }, { - "epoch": 12.08, - "learning_rate": 0.00012385204081632653, - "loss": 1.3648, + "epoch": 6.74, + "learning_rate": 0.00011519886363636365, + "loss": 0.8133, "step": 597 }, { - "epoch": 12.1, - "learning_rate": 0.00012372448979591837, - "loss": 1.3031, + "epoch": 6.76, + "learning_rate": 0.0001150568181818182, + "loss": 0.8372, "step": 598 }, { - "epoch": 12.12, - "learning_rate": 0.00012359693877551022, - "loss": 1.2933, + "epoch": 6.77, + "learning_rate": 0.00011491477272727273, + "loss": 0.8222, "step": 599 }, { - "epoch": 12.14, - "learning_rate": 0.00012346938775510203, - "loss": 1.322, + "epoch": 6.78, + "learning_rate": 0.00011477272727272728, + "loss": 0.8372, "step": 600 } ], "logging_steps": 1, - "max_steps": 1568, - "num_train_epochs": 32, + "max_steps": 1408, + "num_train_epochs": 16, "save_steps": 100, - "total_flos": 8.877519690112819e+17, + "total_flos": 8.186165472352358e+17, "trial_name": null, "trial_params": null }