diff --git "a/llmga-gemma-pretrain/trainer_state.json" "b/llmga-gemma-pretrain/trainer_state.json" new file mode 100644--- /dev/null +++ "b/llmga-gemma-pretrain/trainer_state.json" @@ -0,0 +1,15290 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9998853342506593, + "eval_steps": 500, + "global_step": 2180, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "grad_norm": 849.1024478728034, + "learning_rate": 1.5151515151515153e-05, + "loss": 18.3289, + "step": 1 + }, + { + "epoch": 0.0, + "grad_norm": 874.7083282050851, + "learning_rate": 3.0303030303030306e-05, + "loss": 18.609, + "step": 2 + }, + { + "epoch": 0.0, + "grad_norm": 577.5007959626174, + "learning_rate": 4.545454545454546e-05, + "loss": 16.2579, + "step": 3 + }, + { + "epoch": 0.0, + "grad_norm": 77.17921992387498, + "learning_rate": 6.060606060606061e-05, + "loss": 11.7081, + "step": 4 + }, + { + "epoch": 0.0, + "grad_norm": 879.0917750778681, + "learning_rate": 7.575757575757576e-05, + "loss": 20.838, + "step": 5 + }, + { + "epoch": 0.0, + "grad_norm": 622.479079866714, + "learning_rate": 9.090909090909092e-05, + "loss": 17.078, + "step": 6 + }, + { + "epoch": 0.0, + "grad_norm": 56.873322945544615, + "learning_rate": 0.00010606060606060606, + "loss": 10.8345, + "step": 7 + }, + { + "epoch": 0.0, + "grad_norm": 430.8110186434264, + "learning_rate": 0.00012121212121212122, + "loss": 13.7737, + "step": 8 + }, + { + "epoch": 0.0, + "grad_norm": 180.78356622240403, + "learning_rate": 0.00013636363636363637, + "loss": 10.7919, + "step": 9 + }, + { + "epoch": 0.0, + "grad_norm": 54.67610190532367, + "learning_rate": 0.00015151515151515152, + "loss": 9.9228, + "step": 10 + }, + { + "epoch": 0.01, + "grad_norm": 69.95753147133752, + "learning_rate": 0.00016666666666666666, + "loss": 10.643, + "step": 11 + }, + { + "epoch": 0.01, + "grad_norm": 225.54667945369687, + "learning_rate": 0.00018181818181818183, + "loss": 10.9514, + "step": 12 + }, + { + "epoch": 0.01, + "grad_norm": 40.39540445295766, + "learning_rate": 0.00019696969696969695, + "loss": 9.5177, + "step": 13 + }, + { + "epoch": 0.01, + "grad_norm": 35.643204407976825, + "learning_rate": 0.00021212121212121213, + "loss": 8.8856, + "step": 14 + }, + { + "epoch": 0.01, + "grad_norm": 24.09060097286181, + "learning_rate": 0.00022727272727272727, + "loss": 8.5516, + "step": 15 + }, + { + "epoch": 0.01, + "grad_norm": 20.519151740669482, + "learning_rate": 0.00024242424242424245, + "loss": 8.2104, + "step": 16 + }, + { + "epoch": 0.01, + "grad_norm": 19.65359102290558, + "learning_rate": 0.00025757575757575756, + "loss": 7.7657, + "step": 17 + }, + { + "epoch": 0.01, + "grad_norm": 19.089602348249024, + "learning_rate": 0.00027272727272727274, + "loss": 7.4234, + "step": 18 + }, + { + "epoch": 0.01, + "grad_norm": 14.463215551057672, + "learning_rate": 0.0002878787878787879, + "loss": 7.0094, + "step": 19 + }, + { + "epoch": 0.01, + "grad_norm": 12.306838019581889, + "learning_rate": 0.00030303030303030303, + "loss": 7.0393, + "step": 20 + }, + { + "epoch": 0.01, + "grad_norm": 13.315250557903088, + "learning_rate": 0.0003181818181818182, + "loss": 6.9513, + "step": 21 + }, + { + "epoch": 0.01, + "grad_norm": 13.71936934420649, + "learning_rate": 0.0003333333333333333, + "loss": 6.8552, + "step": 22 + }, + { + "epoch": 0.01, + "grad_norm": 12.277864533683237, + "learning_rate": 0.0003484848484848485, + "loss": 6.7618, + "step": 23 + }, + { + "epoch": 0.01, + "grad_norm": 10.645144795586457, + "learning_rate": 0.00036363636363636367, + "loss": 6.6753, + "step": 24 + }, + { + "epoch": 0.01, + "grad_norm": 9.535921470660035, + "learning_rate": 0.0003787878787878788, + "loss": 6.5648, + "step": 25 + }, + { + "epoch": 0.01, + "grad_norm": 7.533627093732919, + "learning_rate": 0.0003939393939393939, + "loss": 6.5194, + "step": 26 + }, + { + "epoch": 0.01, + "grad_norm": 5.261539400917472, + "learning_rate": 0.00040909090909090913, + "loss": 6.3567, + "step": 27 + }, + { + "epoch": 0.01, + "grad_norm": 4.554365081742184, + "learning_rate": 0.00042424242424242425, + "loss": 6.2715, + "step": 28 + }, + { + "epoch": 0.01, + "grad_norm": 5.320050948899247, + "learning_rate": 0.0004393939393939394, + "loss": 6.4037, + "step": 29 + }, + { + "epoch": 0.01, + "grad_norm": 4.943786199426835, + "learning_rate": 0.00045454545454545455, + "loss": 6.221, + "step": 30 + }, + { + "epoch": 0.01, + "grad_norm": 4.517228496117076, + "learning_rate": 0.0004696969696969697, + "loss": 6.2147, + "step": 31 + }, + { + "epoch": 0.01, + "grad_norm": 4.378510508395376, + "learning_rate": 0.0004848484848484849, + "loss": 6.2062, + "step": 32 + }, + { + "epoch": 0.02, + "grad_norm": 4.225822882353064, + "learning_rate": 0.0005, + "loss": 6.145, + "step": 33 + }, + { + "epoch": 0.02, + "grad_norm": 3.7497805170794294, + "learning_rate": 0.0005151515151515151, + "loss": 6.0276, + "step": 34 + }, + { + "epoch": 0.02, + "grad_norm": 3.4258401957564253, + "learning_rate": 0.0005303030303030302, + "loss": 6.0233, + "step": 35 + }, + { + "epoch": 0.02, + "grad_norm": 2.8769824011117278, + "learning_rate": 0.0005454545454545455, + "loss": 5.7637, + "step": 36 + }, + { + "epoch": 0.02, + "grad_norm": 4.011438505442924, + "learning_rate": 0.0005606060606060606, + "loss": 5.9306, + "step": 37 + }, + { + "epoch": 0.02, + "grad_norm": 4.318926378689546, + "learning_rate": 0.0005757575757575758, + "loss": 5.7862, + "step": 38 + }, + { + "epoch": 0.02, + "grad_norm": 3.116660408767277, + "learning_rate": 0.0005909090909090909, + "loss": 5.838, + "step": 39 + }, + { + "epoch": 0.02, + "grad_norm": 2.7653603571299916, + "learning_rate": 0.0006060606060606061, + "loss": 5.823, + "step": 40 + }, + { + "epoch": 0.02, + "grad_norm": 2.7521085804466625, + "learning_rate": 0.0006212121212121212, + "loss": 5.6889, + "step": 41 + }, + { + "epoch": 0.02, + "grad_norm": 2.0900722738499677, + "learning_rate": 0.0006363636363636364, + "loss": 5.6978, + "step": 42 + }, + { + "epoch": 0.02, + "grad_norm": 1.9641485894426558, + "learning_rate": 0.0006515151515151515, + "loss": 5.7009, + "step": 43 + }, + { + "epoch": 0.02, + "grad_norm": 2.629410976950863, + "learning_rate": 0.0006666666666666666, + "loss": 5.6662, + "step": 44 + }, + { + "epoch": 0.02, + "grad_norm": 1.723263809246651, + "learning_rate": 0.0006818181818181818, + "loss": 5.6326, + "step": 45 + }, + { + "epoch": 0.02, + "grad_norm": 3.1621092877964325, + "learning_rate": 0.000696969696969697, + "loss": 5.5781, + "step": 46 + }, + { + "epoch": 0.02, + "grad_norm": 1.9185216839407433, + "learning_rate": 0.0007121212121212122, + "loss": 5.553, + "step": 47 + }, + { + "epoch": 0.02, + "grad_norm": 1.5619740662622428, + "learning_rate": 0.0007272727272727273, + "loss": 5.532, + "step": 48 + }, + { + "epoch": 0.02, + "grad_norm": 1.6187264976166547, + "learning_rate": 0.0007424242424242425, + "loss": 5.6368, + "step": 49 + }, + { + "epoch": 0.02, + "grad_norm": 1.4871321000850637, + "learning_rate": 0.0007575757575757576, + "loss": 5.5825, + "step": 50 + }, + { + "epoch": 0.02, + "grad_norm": 1.4504384224224192, + "learning_rate": 0.0007727272727272727, + "loss": 5.5478, + "step": 51 + }, + { + "epoch": 0.02, + "grad_norm": 1.3584396761662416, + "learning_rate": 0.0007878787878787878, + "loss": 5.6419, + "step": 52 + }, + { + "epoch": 0.02, + "grad_norm": 1.4555920173953485, + "learning_rate": 0.000803030303030303, + "loss": 5.6553, + "step": 53 + }, + { + "epoch": 0.02, + "grad_norm": 1.2745455868266466, + "learning_rate": 0.0008181818181818183, + "loss": 5.4872, + "step": 54 + }, + { + "epoch": 0.03, + "grad_norm": 1.9268541429021937, + "learning_rate": 0.0008333333333333334, + "loss": 5.4964, + "step": 55 + }, + { + "epoch": 0.03, + "grad_norm": 1.678676333835535, + "learning_rate": 0.0008484848484848485, + "loss": 5.6003, + "step": 56 + }, + { + "epoch": 0.03, + "grad_norm": 1.2634035801406691, + "learning_rate": 0.0008636363636363636, + "loss": 5.4726, + "step": 57 + }, + { + "epoch": 0.03, + "grad_norm": 1.1101341601737222, + "learning_rate": 0.0008787878787878789, + "loss": 5.5956, + "step": 58 + }, + { + "epoch": 0.03, + "grad_norm": 1.7327890047410668, + "learning_rate": 0.000893939393939394, + "loss": 5.4358, + "step": 59 + }, + { + "epoch": 0.03, + "grad_norm": 1.0353656064747123, + "learning_rate": 0.0009090909090909091, + "loss": 5.3685, + "step": 60 + }, + { + "epoch": 0.03, + "grad_norm": 1.6956602799998404, + "learning_rate": 0.0009242424242424242, + "loss": 5.2759, + "step": 61 + }, + { + "epoch": 0.03, + "grad_norm": 1.925344217037855, + "learning_rate": 0.0009393939393939394, + "loss": 5.37, + "step": 62 + }, + { + "epoch": 0.03, + "grad_norm": 1.1406901439461792, + "learning_rate": 0.0009545454545454546, + "loss": 5.3397, + "step": 63 + }, + { + "epoch": 0.03, + "grad_norm": 1.87041274245238, + "learning_rate": 0.0009696969696969698, + "loss": 5.5086, + "step": 64 + }, + { + "epoch": 0.03, + "grad_norm": 2.8173588568653534, + "learning_rate": 0.000984848484848485, + "loss": 5.286, + "step": 65 + }, + { + "epoch": 0.03, + "grad_norm": 1.2766226350077292, + "learning_rate": 0.001, + "loss": 5.3558, + "step": 66 + }, + { + "epoch": 0.03, + "grad_norm": 2.1691001197730198, + "learning_rate": 0.0009999994478847943, + "loss": 5.3125, + "step": 67 + }, + { + "epoch": 0.03, + "grad_norm": 1.538954507738684, + "learning_rate": 0.0009999977915403962, + "loss": 5.1995, + "step": 68 + }, + { + "epoch": 0.03, + "grad_norm": 1.228975866540403, + "learning_rate": 0.0009999950309704639, + "loss": 5.2818, + "step": 69 + }, + { + "epoch": 0.03, + "grad_norm": 10.373756244631725, + "learning_rate": 0.000999991166181094, + "loss": 5.2648, + "step": 70 + }, + { + "epoch": 0.03, + "grad_norm": 1.9231975920847155, + "learning_rate": 0.0009999861971808216, + "loss": 5.2977, + "step": 71 + }, + { + "epoch": 0.03, + "grad_norm": 1.1543541806631286, + "learning_rate": 0.0009999801239806208, + "loss": 5.2243, + "step": 72 + }, + { + "epoch": 0.03, + "grad_norm": 2.024579256794025, + "learning_rate": 0.0009999729465939035, + "loss": 5.1599, + "step": 73 + }, + { + "epoch": 0.03, + "grad_norm": 1.8183788303244683, + "learning_rate": 0.0009999646650365212, + "loss": 5.22, + "step": 74 + }, + { + "epoch": 0.03, + "grad_norm": 1.188004843433445, + "learning_rate": 0.0009999552793267634, + "loss": 5.2939, + "step": 75 + }, + { + "epoch": 0.03, + "grad_norm": 1.9943579317472722, + "learning_rate": 0.0009999447894853577, + "loss": 5.1432, + "step": 76 + }, + { + "epoch": 0.04, + "grad_norm": 1.6903347071923294, + "learning_rate": 0.0009999331955354708, + "loss": 5.1021, + "step": 77 + }, + { + "epoch": 0.04, + "grad_norm": 1.2088117435392876, + "learning_rate": 0.0009999204975027073, + "loss": 5.1208, + "step": 78 + }, + { + "epoch": 0.04, + "grad_norm": 1.2188626719917552, + "learning_rate": 0.0009999066954151103, + "loss": 5.009, + "step": 79 + }, + { + "epoch": 0.04, + "grad_norm": 1.5773432289609617, + "learning_rate": 0.0009998917893031614, + "loss": 5.1039, + "step": 80 + }, + { + "epoch": 0.04, + "grad_norm": 1.5084595807507444, + "learning_rate": 0.0009998757791997801, + "loss": 5.0651, + "step": 81 + }, + { + "epoch": 0.04, + "grad_norm": 1.0969318016827792, + "learning_rate": 0.0009998586651403238, + "loss": 5.0618, + "step": 82 + }, + { + "epoch": 0.04, + "grad_norm": 1.3263310403774387, + "learning_rate": 0.0009998404471625885, + "loss": 4.9805, + "step": 83 + }, + { + "epoch": 0.04, + "grad_norm": 2.241901364335578, + "learning_rate": 0.0009998211253068078, + "loss": 4.9813, + "step": 84 + }, + { + "epoch": 0.04, + "grad_norm": 1.1502069680012563, + "learning_rate": 0.0009998006996156535, + "loss": 5.1047, + "step": 85 + }, + { + "epoch": 0.04, + "grad_norm": 1.0589035755771035, + "learning_rate": 0.0009997791701342347, + "loss": 5.0637, + "step": 86 + }, + { + "epoch": 0.04, + "grad_norm": 1.2540261551743412, + "learning_rate": 0.0009997565369100983, + "loss": 4.8899, + "step": 87 + }, + { + "epoch": 0.04, + "grad_norm": 1.757291275479657, + "learning_rate": 0.0009997327999932291, + "loss": 5.0356, + "step": 88 + }, + { + "epoch": 0.04, + "grad_norm": 1.477423930941434, + "learning_rate": 0.000999707959436049, + "loss": 4.9875, + "step": 89 + }, + { + "epoch": 0.04, + "grad_norm": 1.047850625550379, + "learning_rate": 0.0009996820152934176, + "loss": 5.0057, + "step": 90 + }, + { + "epoch": 0.04, + "grad_norm": 1.7441190325771136, + "learning_rate": 0.000999654967622631, + "loss": 4.857, + "step": 91 + }, + { + "epoch": 0.04, + "grad_norm": 1.4817740318350183, + "learning_rate": 0.0009996268164834238, + "loss": 4.8841, + "step": 92 + }, + { + "epoch": 0.04, + "grad_norm": 1.1407886724788174, + "learning_rate": 0.000999597561937966, + "loss": 4.9254, + "step": 93 + }, + { + "epoch": 0.04, + "grad_norm": 1.1895800867488613, + "learning_rate": 0.0009995672040508656, + "loss": 4.9416, + "step": 94 + }, + { + "epoch": 0.04, + "grad_norm": 1.2297028873087126, + "learning_rate": 0.0009995357428891662, + "loss": 4.9365, + "step": 95 + }, + { + "epoch": 0.04, + "grad_norm": 1.2804652615717091, + "learning_rate": 0.0009995031785223491, + "loss": 4.8698, + "step": 96 + }, + { + "epoch": 0.04, + "grad_norm": 1.0145299026468768, + "learning_rate": 0.000999469511022331, + "loss": 4.9388, + "step": 97 + }, + { + "epoch": 0.04, + "grad_norm": 1.0585243798582193, + "learning_rate": 0.0009994347404634657, + "loss": 4.8988, + "step": 98 + }, + { + "epoch": 0.05, + "grad_norm": 1.0054120822651518, + "learning_rate": 0.0009993988669225423, + "loss": 4.8344, + "step": 99 + }, + { + "epoch": 0.05, + "grad_norm": 1.0389841011356726, + "learning_rate": 0.000999361890478786, + "loss": 4.8608, + "step": 100 + }, + { + "epoch": 0.05, + "grad_norm": 1.1315122044996662, + "learning_rate": 0.0009993238112138583, + "loss": 4.8501, + "step": 101 + }, + { + "epoch": 0.05, + "grad_norm": 0.850393693890169, + "learning_rate": 0.0009992846292118554, + "loss": 4.6994, + "step": 102 + }, + { + "epoch": 0.05, + "grad_norm": 1.0581450846525704, + "learning_rate": 0.000999244344559309, + "loss": 4.7566, + "step": 103 + }, + { + "epoch": 0.05, + "grad_norm": 1.1181644117075173, + "learning_rate": 0.0009992029573451869, + "loss": 4.8249, + "step": 104 + }, + { + "epoch": 0.05, + "grad_norm": 0.9377343295485343, + "learning_rate": 0.0009991604676608905, + "loss": 4.7603, + "step": 105 + }, + { + "epoch": 0.05, + "grad_norm": 0.8894525529834808, + "learning_rate": 0.0009991168756002568, + "loss": 4.8682, + "step": 106 + }, + { + "epoch": 0.05, + "grad_norm": 0.9889698079435518, + "learning_rate": 0.0009990721812595574, + "loss": 4.6711, + "step": 107 + }, + { + "epoch": 0.05, + "grad_norm": 0.9934405609840105, + "learning_rate": 0.0009990263847374976, + "loss": 4.6894, + "step": 108 + }, + { + "epoch": 0.05, + "grad_norm": 0.9516162374487156, + "learning_rate": 0.0009989794861352173, + "loss": 4.8183, + "step": 109 + }, + { + "epoch": 0.05, + "grad_norm": 0.9106124787767145, + "learning_rate": 0.0009989314855562905, + "loss": 4.817, + "step": 110 + }, + { + "epoch": 0.05, + "grad_norm": 0.9045317593099511, + "learning_rate": 0.0009988823831067245, + "loss": 4.8271, + "step": 111 + }, + { + "epoch": 0.05, + "grad_norm": 0.9081211379439946, + "learning_rate": 0.0009988321788949597, + "loss": 4.7967, + "step": 112 + }, + { + "epoch": 0.05, + "grad_norm": 0.7924892168804776, + "learning_rate": 0.0009987808730318709, + "loss": 4.6874, + "step": 113 + }, + { + "epoch": 0.05, + "grad_norm": 0.9975130725197418, + "learning_rate": 0.0009987284656307644, + "loss": 4.8049, + "step": 114 + }, + { + "epoch": 0.05, + "grad_norm": 0.9746799521039936, + "learning_rate": 0.0009986749568073802, + "loss": 4.719, + "step": 115 + }, + { + "epoch": 0.05, + "grad_norm": 1.1001866630230974, + "learning_rate": 0.0009986203466798905, + "loss": 4.751, + "step": 116 + }, + { + "epoch": 0.05, + "grad_norm": 0.8885060682552715, + "learning_rate": 0.0009985646353688996, + "loss": 4.8331, + "step": 117 + }, + { + "epoch": 0.05, + "grad_norm": 0.9424427796124706, + "learning_rate": 0.0009985078229974437, + "loss": 4.7505, + "step": 118 + }, + { + "epoch": 0.05, + "grad_norm": 0.9008672315532076, + "learning_rate": 0.0009984499096909905, + "loss": 4.6989, + "step": 119 + }, + { + "epoch": 0.06, + "grad_norm": 0.9151299144798222, + "learning_rate": 0.0009983908955774397, + "loss": 4.7293, + "step": 120 + }, + { + "epoch": 0.06, + "grad_norm": 1.040480252453662, + "learning_rate": 0.0009983307807871211, + "loss": 4.7155, + "step": 121 + }, + { + "epoch": 0.06, + "grad_norm": 1.053781196088565, + "learning_rate": 0.0009982695654527965, + "loss": 4.6135, + "step": 122 + }, + { + "epoch": 0.06, + "grad_norm": 1.0126029698018915, + "learning_rate": 0.0009982072497096571, + "loss": 4.6883, + "step": 123 + }, + { + "epoch": 0.06, + "grad_norm": 0.9794811850867537, + "learning_rate": 0.000998143833695325, + "loss": 4.6696, + "step": 124 + }, + { + "epoch": 0.06, + "grad_norm": 1.2852834335892849, + "learning_rate": 0.0009980793175498517, + "loss": 4.6805, + "step": 125 + }, + { + "epoch": 0.06, + "grad_norm": 1.1699283178708422, + "learning_rate": 0.000998013701415719, + "loss": 4.6936, + "step": 126 + }, + { + "epoch": 0.06, + "grad_norm": 1.0423622223659692, + "learning_rate": 0.0009979469854378372, + "loss": 4.5901, + "step": 127 + }, + { + "epoch": 0.06, + "grad_norm": 1.0279536338860986, + "learning_rate": 0.000997879169763546, + "loss": 4.5731, + "step": 128 + }, + { + "epoch": 0.06, + "grad_norm": 1.4499032408022174, + "learning_rate": 0.000997810254542614, + "loss": 4.5979, + "step": 129 + }, + { + "epoch": 0.06, + "grad_norm": 1.0358179844570643, + "learning_rate": 0.0009977402399272374, + "loss": 4.5378, + "step": 130 + }, + { + "epoch": 0.06, + "grad_norm": 1.272480306983464, + "learning_rate": 0.0009976691260720407, + "loss": 4.489, + "step": 131 + }, + { + "epoch": 0.06, + "grad_norm": 1.1306980452381632, + "learning_rate": 0.0009975969131340763, + "loss": 4.6576, + "step": 132 + }, + { + "epoch": 0.06, + "grad_norm": 1.2985805049048957, + "learning_rate": 0.0009975236012728236, + "loss": 4.5474, + "step": 133 + }, + { + "epoch": 0.06, + "grad_norm": 0.9405842230613763, + "learning_rate": 0.0009974491906501886, + "loss": 4.5585, + "step": 134 + }, + { + "epoch": 0.06, + "grad_norm": 1.3959403480970891, + "learning_rate": 0.0009973736814305049, + "loss": 4.6042, + "step": 135 + }, + { + "epoch": 0.06, + "grad_norm": 1.483966614562128, + "learning_rate": 0.0009972970737805312, + "loss": 4.6063, + "step": 136 + }, + { + "epoch": 0.06, + "grad_norm": 1.0922368693420674, + "learning_rate": 0.0009972193678694525, + "loss": 4.5495, + "step": 137 + }, + { + "epoch": 0.06, + "grad_norm": 1.6522766749406093, + "learning_rate": 0.0009971405638688794, + "loss": 4.617, + "step": 138 + }, + { + "epoch": 0.06, + "grad_norm": 0.9498160471179888, + "learning_rate": 0.0009970606619528475, + "loss": 4.5567, + "step": 139 + }, + { + "epoch": 0.06, + "grad_norm": 1.0451387764959665, + "learning_rate": 0.000996979662297817, + "loss": 4.5459, + "step": 140 + }, + { + "epoch": 0.06, + "grad_norm": 1.1227901333856147, + "learning_rate": 0.0009968975650826721, + "loss": 4.4808, + "step": 141 + }, + { + "epoch": 0.07, + "grad_norm": 1.107510153497332, + "learning_rate": 0.000996814370488722, + "loss": 4.5773, + "step": 142 + }, + { + "epoch": 0.07, + "grad_norm": 1.3962485042202044, + "learning_rate": 0.000996730078699698, + "loss": 4.5589, + "step": 143 + }, + { + "epoch": 0.07, + "grad_norm": 1.1628758840604438, + "learning_rate": 0.0009966446899017558, + "loss": 4.5339, + "step": 144 + }, + { + "epoch": 0.07, + "grad_norm": 0.9905075650292238, + "learning_rate": 0.0009965582042834728, + "loss": 4.626, + "step": 145 + }, + { + "epoch": 0.07, + "grad_norm": 1.6415131265736471, + "learning_rate": 0.0009964706220358492, + "loss": 4.5089, + "step": 146 + }, + { + "epoch": 0.07, + "grad_norm": 1.1279896547870332, + "learning_rate": 0.000996381943352307, + "loss": 4.5199, + "step": 147 + }, + { + "epoch": 0.07, + "grad_norm": 1.1844584007464076, + "learning_rate": 0.0009962921684286896, + "loss": 4.54, + "step": 148 + }, + { + "epoch": 0.07, + "grad_norm": 1.2939612620815695, + "learning_rate": 0.0009962012974632614, + "loss": 4.5973, + "step": 149 + }, + { + "epoch": 0.07, + "grad_norm": 1.280493954403419, + "learning_rate": 0.0009961093306567075, + "loss": 4.5232, + "step": 150 + }, + { + "epoch": 0.07, + "grad_norm": 1.4497574484282498, + "learning_rate": 0.0009960162682121328, + "loss": 4.5419, + "step": 151 + }, + { + "epoch": 0.07, + "grad_norm": 1.2581104307991586, + "learning_rate": 0.0009959221103350623, + "loss": 4.4479, + "step": 152 + }, + { + "epoch": 0.07, + "grad_norm": 1.0719580333605256, + "learning_rate": 0.0009958268572334394, + "loss": 4.3741, + "step": 153 + }, + { + "epoch": 0.07, + "grad_norm": 1.079922413400243, + "learning_rate": 0.0009957305091176274, + "loss": 4.4375, + "step": 154 + }, + { + "epoch": 0.07, + "grad_norm": 1.2382259617301634, + "learning_rate": 0.0009956330662004075, + "loss": 4.4919, + "step": 155 + }, + { + "epoch": 0.07, + "grad_norm": 1.462006477093048, + "learning_rate": 0.0009955345286969779, + "loss": 4.4083, + "step": 156 + }, + { + "epoch": 0.07, + "grad_norm": 1.1455254382207671, + "learning_rate": 0.0009954348968249551, + "loss": 4.4066, + "step": 157 + }, + { + "epoch": 0.07, + "grad_norm": 1.0968911580631677, + "learning_rate": 0.0009953341708043724, + "loss": 4.429, + "step": 158 + }, + { + "epoch": 0.07, + "grad_norm": 1.0098433069894681, + "learning_rate": 0.0009952323508576793, + "loss": 4.4493, + "step": 159 + }, + { + "epoch": 0.07, + "grad_norm": 1.0951065204690482, + "learning_rate": 0.0009951294372097406, + "loss": 4.3567, + "step": 160 + }, + { + "epoch": 0.07, + "grad_norm": 1.1530602297104202, + "learning_rate": 0.0009950254300878378, + "loss": 4.3826, + "step": 161 + }, + { + "epoch": 0.07, + "grad_norm": 1.2188260621111935, + "learning_rate": 0.000994920329721666, + "loss": 4.2782, + "step": 162 + }, + { + "epoch": 0.07, + "grad_norm": 1.1881725228310471, + "learning_rate": 0.0009948141363433356, + "loss": 4.3798, + "step": 163 + }, + { + "epoch": 0.08, + "grad_norm": 1.6244872333027007, + "learning_rate": 0.00099470685018737, + "loss": 4.2914, + "step": 164 + }, + { + "epoch": 0.08, + "grad_norm": 1.6194028854294913, + "learning_rate": 0.0009945984714907073, + "loss": 4.3759, + "step": 165 + }, + { + "epoch": 0.08, + "grad_norm": 1.3176587941589923, + "learning_rate": 0.000994489000492697, + "loss": 4.3565, + "step": 166 + }, + { + "epoch": 0.08, + "grad_norm": 1.0872169626074166, + "learning_rate": 0.0009943784374351016, + "loss": 4.4252, + "step": 167 + }, + { + "epoch": 0.08, + "grad_norm": 1.2061936735635665, + "learning_rate": 0.0009942667825620951, + "loss": 4.2637, + "step": 168 + }, + { + "epoch": 0.08, + "grad_norm": 2.033252711790628, + "learning_rate": 0.0009941540361202634, + "loss": 4.2384, + "step": 169 + }, + { + "epoch": 0.08, + "grad_norm": 1.639561165712214, + "learning_rate": 0.0009940401983586022, + "loss": 4.3303, + "step": 170 + }, + { + "epoch": 0.08, + "grad_norm": 2.3339797202408956, + "learning_rate": 0.000993925269528518, + "loss": 4.4522, + "step": 171 + }, + { + "epoch": 0.08, + "grad_norm": 1.1736091811660463, + "learning_rate": 0.0009938092498838265, + "loss": 4.289, + "step": 172 + }, + { + "epoch": 0.08, + "grad_norm": 2.46602183506964, + "learning_rate": 0.0009936921396807524, + "loss": 4.448, + "step": 173 + }, + { + "epoch": 0.08, + "grad_norm": 1.5165112752458905, + "learning_rate": 0.0009935739391779292, + "loss": 4.207, + "step": 174 + }, + { + "epoch": 0.08, + "grad_norm": 1.3101548338150177, + "learning_rate": 0.000993454648636398, + "loss": 4.268, + "step": 175 + }, + { + "epoch": 0.08, + "grad_norm": 1.9345224527694576, + "learning_rate": 0.0009933342683196074, + "loss": 4.2913, + "step": 176 + }, + { + "epoch": 0.08, + "grad_norm": 1.8493271780220226, + "learning_rate": 0.0009932127984934125, + "loss": 4.2377, + "step": 177 + }, + { + "epoch": 0.08, + "grad_norm": 1.7951299927707032, + "learning_rate": 0.0009930902394260745, + "loss": 4.3725, + "step": 178 + }, + { + "epoch": 0.08, + "grad_norm": 1.4187768267102416, + "learning_rate": 0.0009929665913882607, + "loss": 4.2398, + "step": 179 + }, + { + "epoch": 0.08, + "grad_norm": 1.6001591177798176, + "learning_rate": 0.0009928418546530425, + "loss": 4.165, + "step": 180 + }, + { + "epoch": 0.08, + "grad_norm": 1.6139307990576726, + "learning_rate": 0.0009927160294958964, + "loss": 4.3542, + "step": 181 + }, + { + "epoch": 0.08, + "grad_norm": 1.8727188615303956, + "learning_rate": 0.000992589116194702, + "loss": 4.2652, + "step": 182 + }, + { + "epoch": 0.08, + "grad_norm": 1.3488720034997872, + "learning_rate": 0.000992461115029743, + "loss": 4.1771, + "step": 183 + }, + { + "epoch": 0.08, + "grad_norm": 1.746525426378196, + "learning_rate": 0.000992332026283704, + "loss": 4.2599, + "step": 184 + }, + { + "epoch": 0.08, + "grad_norm": 1.828692508525562, + "learning_rate": 0.0009922018502416736, + "loss": 4.2044, + "step": 185 + }, + { + "epoch": 0.09, + "grad_norm": 1.3858070068185104, + "learning_rate": 0.0009920705871911395, + "loss": 4.1038, + "step": 186 + }, + { + "epoch": 0.09, + "grad_norm": 2.288874635701196, + "learning_rate": 0.0009919382374219915, + "loss": 4.2052, + "step": 187 + }, + { + "epoch": 0.09, + "grad_norm": 1.2639616845580672, + "learning_rate": 0.0009918048012265187, + "loss": 4.1056, + "step": 188 + }, + { + "epoch": 0.09, + "grad_norm": 1.9009541741918108, + "learning_rate": 0.0009916702788994097, + "loss": 4.1792, + "step": 189 + }, + { + "epoch": 0.09, + "grad_norm": 1.3725359430098159, + "learning_rate": 0.0009915346707377519, + "loss": 4.0902, + "step": 190 + }, + { + "epoch": 0.09, + "grad_norm": 1.3781179858670678, + "learning_rate": 0.0009913979770410305, + "loss": 4.2138, + "step": 191 + }, + { + "epoch": 0.09, + "grad_norm": 1.1636115965189597, + "learning_rate": 0.0009912601981111285, + "loss": 4.2216, + "step": 192 + }, + { + "epoch": 0.09, + "grad_norm": 1.3910179718542435, + "learning_rate": 0.0009911213342523248, + "loss": 4.2528, + "step": 193 + }, + { + "epoch": 0.09, + "grad_norm": 1.4130822405085453, + "learning_rate": 0.000990981385771295, + "loss": 4.1545, + "step": 194 + }, + { + "epoch": 0.09, + "grad_norm": 1.7604935147207943, + "learning_rate": 0.00099084035297711, + "loss": 4.1553, + "step": 195 + }, + { + "epoch": 0.09, + "grad_norm": 1.6744151552611846, + "learning_rate": 0.000990698236181235, + "loss": 4.1124, + "step": 196 + }, + { + "epoch": 0.09, + "grad_norm": 1.8666866392275328, + "learning_rate": 0.0009905550356975293, + "loss": 4.1129, + "step": 197 + }, + { + "epoch": 0.09, + "grad_norm": 2.179033373459883, + "learning_rate": 0.0009904107518422457, + "loss": 4.1344, + "step": 198 + }, + { + "epoch": 0.09, + "grad_norm": 2.6809009235731853, + "learning_rate": 0.0009902653849340295, + "loss": 4.1471, + "step": 199 + }, + { + "epoch": 0.09, + "grad_norm": 1.5188673066012501, + "learning_rate": 0.0009901189352939177, + "loss": 4.1238, + "step": 200 + }, + { + "epoch": 0.09, + "grad_norm": 1.4496330581678372, + "learning_rate": 0.0009899714032453387, + "loss": 3.9746, + "step": 201 + }, + { + "epoch": 0.09, + "grad_norm": 1.4567117230533888, + "learning_rate": 0.000989822789114111, + "loss": 4.0763, + "step": 202 + }, + { + "epoch": 0.09, + "grad_norm": 1.2923234096695275, + "learning_rate": 0.0009896730932284434, + "loss": 4.0658, + "step": 203 + }, + { + "epoch": 0.09, + "grad_norm": 1.8180879002089845, + "learning_rate": 0.0009895223159189332, + "loss": 4.0373, + "step": 204 + }, + { + "epoch": 0.09, + "grad_norm": 1.4737971745540392, + "learning_rate": 0.0009893704575185663, + "loss": 4.0576, + "step": 205 + }, + { + "epoch": 0.09, + "grad_norm": 2.5856786919686807, + "learning_rate": 0.000989217518362716, + "loss": 4.0988, + "step": 206 + }, + { + "epoch": 0.09, + "grad_norm": 1.374568700631167, + "learning_rate": 0.0009890634987891425, + "loss": 4.119, + "step": 207 + }, + { + "epoch": 0.1, + "grad_norm": 2.835770097489722, + "learning_rate": 0.0009889083991379917, + "loss": 4.1176, + "step": 208 + }, + { + "epoch": 0.1, + "grad_norm": 1.3969390460369346, + "learning_rate": 0.0009887522197517954, + "loss": 4.1087, + "step": 209 + }, + { + "epoch": 0.1, + "grad_norm": 2.119823358473737, + "learning_rate": 0.0009885949609754693, + "loss": 4.1469, + "step": 210 + }, + { + "epoch": 0.1, + "grad_norm": 1.8464124103787336, + "learning_rate": 0.000988436623156314, + "loss": 4.0829, + "step": 211 + }, + { + "epoch": 0.1, + "grad_norm": 1.7514119142291742, + "learning_rate": 0.0009882772066440114, + "loss": 3.8872, + "step": 212 + }, + { + "epoch": 0.1, + "grad_norm": 1.7097888687418081, + "learning_rate": 0.0009881167117906276, + "loss": 3.8104, + "step": 213 + }, + { + "epoch": 0.1, + "grad_norm": 1.5937285427604821, + "learning_rate": 0.0009879551389506084, + "loss": 4.0306, + "step": 214 + }, + { + "epoch": 0.1, + "grad_norm": 2.068156250611066, + "learning_rate": 0.0009877924884807814, + "loss": 4.0271, + "step": 215 + }, + { + "epoch": 0.1, + "grad_norm": 2.027108833495585, + "learning_rate": 0.000987628760740354, + "loss": 4.0386, + "step": 216 + }, + { + "epoch": 0.1, + "grad_norm": 1.9412117390958445, + "learning_rate": 0.0009874639560909118, + "loss": 3.9836, + "step": 217 + }, + { + "epoch": 0.1, + "grad_norm": 2.679969601427816, + "learning_rate": 0.0009872980748964202, + "loss": 3.9495, + "step": 218 + }, + { + "epoch": 0.1, + "grad_norm": 1.7051780790635735, + "learning_rate": 0.000987131117523221, + "loss": 3.9201, + "step": 219 + }, + { + "epoch": 0.1, + "grad_norm": 2.833483230168737, + "learning_rate": 0.000986963084340033, + "loss": 3.9782, + "step": 220 + }, + { + "epoch": 0.1, + "grad_norm": 1.6584676765014548, + "learning_rate": 0.0009867939757179508, + "loss": 3.9242, + "step": 221 + }, + { + "epoch": 0.1, + "grad_norm": 3.5311522606721626, + "learning_rate": 0.0009866237920304443, + "loss": 4.0361, + "step": 222 + }, + { + "epoch": 0.1, + "grad_norm": 1.4266111190297386, + "learning_rate": 0.0009864525336533577, + "loss": 4.0225, + "step": 223 + }, + { + "epoch": 0.1, + "grad_norm": 3.1822854136503516, + "learning_rate": 0.000986280200964908, + "loss": 4.0376, + "step": 224 + }, + { + "epoch": 0.1, + "grad_norm": 1.5619851801421305, + "learning_rate": 0.0009861067943456856, + "loss": 3.9612, + "step": 225 + }, + { + "epoch": 0.1, + "grad_norm": 2.5986115118862205, + "learning_rate": 0.000985932314178652, + "loss": 3.9314, + "step": 226 + }, + { + "epoch": 0.1, + "grad_norm": 2.0115209783306858, + "learning_rate": 0.00098575676084914, + "loss": 3.8205, + "step": 227 + }, + { + "epoch": 0.1, + "grad_norm": 2.1987011672759897, + "learning_rate": 0.0009855801347448518, + "loss": 3.9672, + "step": 228 + }, + { + "epoch": 0.11, + "grad_norm": 2.3406276029703155, + "learning_rate": 0.0009854024362558596, + "loss": 3.9151, + "step": 229 + }, + { + "epoch": 0.11, + "grad_norm": 1.5780176954545144, + "learning_rate": 0.0009852236657746035, + "loss": 3.8448, + "step": 230 + }, + { + "epoch": 0.11, + "grad_norm": 2.1733223862402107, + "learning_rate": 0.0009850438236958911, + "loss": 3.7943, + "step": 231 + }, + { + "epoch": 0.11, + "grad_norm": 1.4661127113722698, + "learning_rate": 0.0009848629104168966, + "loss": 3.9381, + "step": 232 + }, + { + "epoch": 0.11, + "grad_norm": 1.9954272153337405, + "learning_rate": 0.00098468092633716, + "loss": 3.9646, + "step": 233 + }, + { + "epoch": 0.11, + "grad_norm": 2.418520895954301, + "learning_rate": 0.0009844978718585855, + "loss": 3.8905, + "step": 234 + }, + { + "epoch": 0.11, + "grad_norm": 2.1600234736794968, + "learning_rate": 0.0009843137473854423, + "loss": 3.8285, + "step": 235 + }, + { + "epoch": 0.11, + "grad_norm": 1.7682237162507657, + "learning_rate": 0.000984128553324362, + "loss": 3.9328, + "step": 236 + }, + { + "epoch": 0.11, + "grad_norm": 1.5003684713991836, + "learning_rate": 0.0009839422900843383, + "loss": 3.9005, + "step": 237 + }, + { + "epoch": 0.11, + "grad_norm": 2.4540790018287812, + "learning_rate": 0.0009837549580767261, + "loss": 3.9722, + "step": 238 + }, + { + "epoch": 0.11, + "grad_norm": 1.823724421480226, + "learning_rate": 0.0009835665577152411, + "loss": 3.7849, + "step": 239 + }, + { + "epoch": 0.11, + "grad_norm": 1.7218920035709293, + "learning_rate": 0.000983377089415958, + "loss": 3.9542, + "step": 240 + }, + { + "epoch": 0.11, + "grad_norm": 2.4474338982296135, + "learning_rate": 0.0009831865535973102, + "loss": 3.9128, + "step": 241 + }, + { + "epoch": 0.11, + "grad_norm": 1.6268776399040175, + "learning_rate": 0.0009829949506800885, + "loss": 3.8749, + "step": 242 + }, + { + "epoch": 0.11, + "grad_norm": 1.8047724398969327, + "learning_rate": 0.0009828022810874405, + "loss": 3.7679, + "step": 243 + }, + { + "epoch": 0.11, + "grad_norm": 1.505201835523194, + "learning_rate": 0.0009826085452448693, + "loss": 3.7249, + "step": 244 + }, + { + "epoch": 0.11, + "grad_norm": 1.8028758821828368, + "learning_rate": 0.000982413743580233, + "loss": 3.8204, + "step": 245 + }, + { + "epoch": 0.11, + "grad_norm": 1.937659400042939, + "learning_rate": 0.0009822178765237436, + "loss": 3.7842, + "step": 246 + }, + { + "epoch": 0.11, + "grad_norm": 1.7915323272935215, + "learning_rate": 0.0009820209445079654, + "loss": 3.8821, + "step": 247 + }, + { + "epoch": 0.11, + "grad_norm": 2.5920628689067065, + "learning_rate": 0.0009818229479678158, + "loss": 3.8027, + "step": 248 + }, + { + "epoch": 0.11, + "grad_norm": 1.5565905910085316, + "learning_rate": 0.0009816238873405615, + "loss": 3.7449, + "step": 249 + }, + { + "epoch": 0.11, + "grad_norm": 1.8537225838842477, + "learning_rate": 0.0009814237630658207, + "loss": 3.9158, + "step": 250 + }, + { + "epoch": 0.12, + "grad_norm": 1.7530398926296, + "learning_rate": 0.00098122257558556, + "loss": 3.8583, + "step": 251 + }, + { + "epoch": 0.12, + "grad_norm": 1.4214656781902324, + "learning_rate": 0.0009810203253440937, + "loss": 3.8481, + "step": 252 + }, + { + "epoch": 0.12, + "grad_norm": 1.9950489881332862, + "learning_rate": 0.0009808170127880837, + "loss": 3.9203, + "step": 253 + }, + { + "epoch": 0.12, + "grad_norm": 1.9455792350766699, + "learning_rate": 0.000980612638366538, + "loss": 3.8967, + "step": 254 + }, + { + "epoch": 0.12, + "grad_norm": 1.7848091541096867, + "learning_rate": 0.0009804072025308096, + "loss": 3.7581, + "step": 255 + }, + { + "epoch": 0.12, + "grad_norm": 3.819275140567835, + "learning_rate": 0.000980200705734595, + "loss": 3.8092, + "step": 256 + }, + { + "epoch": 0.12, + "grad_norm": 2.0303161648146766, + "learning_rate": 0.0009799931484339344, + "loss": 3.7317, + "step": 257 + }, + { + "epoch": 0.12, + "grad_norm": 3.0476907220728853, + "learning_rate": 0.0009797845310872103, + "loss": 3.7905, + "step": 258 + }, + { + "epoch": 0.12, + "grad_norm": 2.043122783461441, + "learning_rate": 0.0009795748541551457, + "loss": 3.6976, + "step": 259 + }, + { + "epoch": 0.12, + "grad_norm": 2.652137198418318, + "learning_rate": 0.000979364118100804, + "loss": 3.8263, + "step": 260 + }, + { + "epoch": 0.12, + "grad_norm": 3.129051900784942, + "learning_rate": 0.0009791523233895875, + "loss": 3.8817, + "step": 261 + }, + { + "epoch": 0.12, + "grad_norm": 2.0094209856949763, + "learning_rate": 0.0009789394704892364, + "loss": 3.7666, + "step": 262 + }, + { + "epoch": 0.12, + "grad_norm": 2.962227284446103, + "learning_rate": 0.0009787255598698282, + "loss": 3.7822, + "step": 263 + }, + { + "epoch": 0.12, + "grad_norm": 1.5572518383055178, + "learning_rate": 0.0009785105920037758, + "loss": 3.887, + "step": 264 + }, + { + "epoch": 0.12, + "grad_norm": 1.8160596094330477, + "learning_rate": 0.0009782945673658275, + "loss": 3.7556, + "step": 265 + }, + { + "epoch": 0.12, + "grad_norm": 2.4456344813207074, + "learning_rate": 0.0009780774864330654, + "loss": 3.7782, + "step": 266 + }, + { + "epoch": 0.12, + "grad_norm": 1.506759487048389, + "learning_rate": 0.000977859349684904, + "loss": 3.739, + "step": 267 + }, + { + "epoch": 0.12, + "grad_norm": 2.8301760760339287, + "learning_rate": 0.00097764015760309, + "loss": 3.6979, + "step": 268 + }, + { + "epoch": 0.12, + "grad_norm": 2.3355738042264673, + "learning_rate": 0.0009774199106717004, + "loss": 3.7739, + "step": 269 + }, + { + "epoch": 0.12, + "grad_norm": 1.9007447506664013, + "learning_rate": 0.0009771986093771417, + "loss": 3.6904, + "step": 270 + }, + { + "epoch": 0.12, + "grad_norm": 1.7252183109830546, + "learning_rate": 0.0009769762542081496, + "loss": 3.6848, + "step": 271 + }, + { + "epoch": 0.12, + "grad_norm": 3.0371431314180177, + "learning_rate": 0.000976752845655786, + "loss": 3.7592, + "step": 272 + }, + { + "epoch": 0.13, + "grad_norm": 2.430549206086476, + "learning_rate": 0.0009765283842134411, + "loss": 3.604, + "step": 273 + }, + { + "epoch": 0.13, + "grad_norm": 1.6918504078265157, + "learning_rate": 0.0009763028703768282, + "loss": 3.7253, + "step": 274 + }, + { + "epoch": 0.13, + "grad_norm": 1.5130514906277006, + "learning_rate": 0.0009760763046439862, + "loss": 3.7562, + "step": 275 + }, + { + "epoch": 0.13, + "grad_norm": 1.8209842422434852, + "learning_rate": 0.0009758486875152766, + "loss": 3.753, + "step": 276 + }, + { + "epoch": 0.13, + "grad_norm": 1.8279933544732148, + "learning_rate": 0.0009756200194933829, + "loss": 3.7396, + "step": 277 + }, + { + "epoch": 0.13, + "grad_norm": 1.588875073926259, + "learning_rate": 0.0009753903010833094, + "loss": 3.7049, + "step": 278 + }, + { + "epoch": 0.13, + "grad_norm": 2.8858039015517702, + "learning_rate": 0.0009751595327923803, + "loss": 3.7594, + "step": 279 + }, + { + "epoch": 0.13, + "grad_norm": 1.7239447016921228, + "learning_rate": 0.0009749277151302382, + "loss": 3.7426, + "step": 280 + }, + { + "epoch": 0.13, + "grad_norm": 3.25545630862283, + "learning_rate": 0.0009746948486088435, + "loss": 3.7905, + "step": 281 + }, + { + "epoch": 0.13, + "grad_norm": 1.5740587795614396, + "learning_rate": 0.0009744609337424727, + "loss": 3.7264, + "step": 282 + }, + { + "epoch": 0.13, + "grad_norm": 3.254901915668207, + "learning_rate": 0.0009742259710477177, + "loss": 3.6637, + "step": 283 + }, + { + "epoch": 0.13, + "grad_norm": 1.8752997224306358, + "learning_rate": 0.0009739899610434841, + "loss": 3.8387, + "step": 284 + }, + { + "epoch": 0.13, + "grad_norm": 2.3702177584153796, + "learning_rate": 0.0009737529042509913, + "loss": 3.6517, + "step": 285 + }, + { + "epoch": 0.13, + "grad_norm": 3.2289496136370626, + "learning_rate": 0.0009735148011937693, + "loss": 3.6464, + "step": 286 + }, + { + "epoch": 0.13, + "grad_norm": 2.03192268313918, + "learning_rate": 0.00097327565239766, + "loss": 3.7662, + "step": 287 + }, + { + "epoch": 0.13, + "grad_norm": 4.0840449782909385, + "learning_rate": 0.0009730354583908136, + "loss": 3.7294, + "step": 288 + }, + { + "epoch": 0.13, + "grad_norm": 2.0158777831599513, + "learning_rate": 0.0009727942197036895, + "loss": 3.6913, + "step": 289 + }, + { + "epoch": 0.13, + "grad_norm": 3.519583905843892, + "learning_rate": 0.0009725519368690539, + "loss": 3.7281, + "step": 290 + }, + { + "epoch": 0.13, + "grad_norm": 1.589758959875534, + "learning_rate": 0.0009723086104219787, + "loss": 3.6596, + "step": 291 + }, + { + "epoch": 0.13, + "grad_norm": 2.800848766795162, + "learning_rate": 0.0009720642408998409, + "loss": 3.6933, + "step": 292 + }, + { + "epoch": 0.13, + "grad_norm": 2.4000715593999975, + "learning_rate": 0.0009718188288423211, + "loss": 3.6111, + "step": 293 + }, + { + "epoch": 0.13, + "grad_norm": 2.0380288212386017, + "learning_rate": 0.0009715723747914022, + "loss": 3.6653, + "step": 294 + }, + { + "epoch": 0.14, + "grad_norm": 2.8807551705519394, + "learning_rate": 0.0009713248792913685, + "loss": 3.7315, + "step": 295 + }, + { + "epoch": 0.14, + "grad_norm": 1.5131582341667553, + "learning_rate": 0.0009710763428888037, + "loss": 3.7145, + "step": 296 + }, + { + "epoch": 0.14, + "grad_norm": 3.2163013768100677, + "learning_rate": 0.0009708267661325909, + "loss": 3.775, + "step": 297 + }, + { + "epoch": 0.14, + "grad_norm": 1.4881105643030779, + "learning_rate": 0.0009705761495739107, + "loss": 3.7385, + "step": 298 + }, + { + "epoch": 0.14, + "grad_norm": 2.021101979714653, + "learning_rate": 0.0009703244937662399, + "loss": 3.6086, + "step": 299 + }, + { + "epoch": 0.14, + "grad_norm": 2.8072253665741793, + "learning_rate": 0.0009700717992653505, + "loss": 3.7359, + "step": 300 + }, + { + "epoch": 0.14, + "grad_norm": 1.5648788027750626, + "learning_rate": 0.0009698180666293083, + "loss": 3.7056, + "step": 301 + }, + { + "epoch": 0.14, + "grad_norm": 2.9523954820393814, + "learning_rate": 0.000969563296418472, + "loss": 3.6893, + "step": 302 + }, + { + "epoch": 0.14, + "grad_norm": 1.4360571943793963, + "learning_rate": 0.0009693074891954914, + "loss": 3.6727, + "step": 303 + }, + { + "epoch": 0.14, + "grad_norm": 2.539196388299238, + "learning_rate": 0.0009690506455253072, + "loss": 3.6571, + "step": 304 + }, + { + "epoch": 0.14, + "grad_norm": 1.8340992313666828, + "learning_rate": 0.0009687927659751481, + "loss": 3.6678, + "step": 305 + }, + { + "epoch": 0.14, + "grad_norm": 2.5262972364653904, + "learning_rate": 0.0009685338511145312, + "loss": 3.6979, + "step": 306 + }, + { + "epoch": 0.14, + "grad_norm": 1.7544416393538171, + "learning_rate": 0.0009682739015152598, + "loss": 3.6094, + "step": 307 + }, + { + "epoch": 0.14, + "grad_norm": 1.7248694419726, + "learning_rate": 0.0009680129177514226, + "loss": 3.592, + "step": 308 + }, + { + "epoch": 0.14, + "grad_norm": 2.1748044711117305, + "learning_rate": 0.0009677509003993915, + "loss": 3.6269, + "step": 309 + }, + { + "epoch": 0.14, + "grad_norm": 1.5536884981903807, + "learning_rate": 0.0009674878500378221, + "loss": 3.706, + "step": 310 + }, + { + "epoch": 0.14, + "grad_norm": 2.444117152658226, + "learning_rate": 0.0009672237672476505, + "loss": 3.5589, + "step": 311 + }, + { + "epoch": 0.14, + "grad_norm": 2.030378372396853, + "learning_rate": 0.0009669586526120935, + "loss": 3.5906, + "step": 312 + }, + { + "epoch": 0.14, + "grad_norm": 2.2850559114177056, + "learning_rate": 0.0009666925067166459, + "loss": 3.6716, + "step": 313 + }, + { + "epoch": 0.14, + "grad_norm": 2.7681725858640163, + "learning_rate": 0.000966425330149081, + "loss": 3.6564, + "step": 314 + }, + { + "epoch": 0.14, + "grad_norm": 2.041670501314153, + "learning_rate": 0.0009661571234994475, + "loss": 3.5473, + "step": 315 + }, + { + "epoch": 0.14, + "grad_norm": 2.370501712168098, + "learning_rate": 0.0009658878873600691, + "loss": 3.6485, + "step": 316 + }, + { + "epoch": 0.15, + "grad_norm": 1.5237967468272475, + "learning_rate": 0.0009656176223255438, + "loss": 3.6982, + "step": 317 + }, + { + "epoch": 0.15, + "grad_norm": 1.810753700527318, + "learning_rate": 0.000965346328992741, + "loss": 3.6773, + "step": 318 + }, + { + "epoch": 0.15, + "grad_norm": 2.386155063460771, + "learning_rate": 0.0009650740079608014, + "loss": 3.6389, + "step": 319 + }, + { + "epoch": 0.15, + "grad_norm": 2.3171765931856894, + "learning_rate": 0.0009648006598311353, + "loss": 3.6296, + "step": 320 + }, + { + "epoch": 0.15, + "grad_norm": 2.5775870267920995, + "learning_rate": 0.0009645262852074214, + "loss": 3.5711, + "step": 321 + }, + { + "epoch": 0.15, + "grad_norm": 2.311794270737017, + "learning_rate": 0.0009642508846956053, + "loss": 3.6232, + "step": 322 + }, + { + "epoch": 0.15, + "grad_norm": 1.7959839173061645, + "learning_rate": 0.0009639744589038983, + "loss": 3.6163, + "step": 323 + }, + { + "epoch": 0.15, + "grad_norm": 1.8615446328913974, + "learning_rate": 0.0009636970084427759, + "loss": 3.6842, + "step": 324 + }, + { + "epoch": 0.15, + "grad_norm": 1.9847611202260347, + "learning_rate": 0.0009634185339249766, + "loss": 3.6486, + "step": 325 + }, + { + "epoch": 0.15, + "grad_norm": 1.9032886739255737, + "learning_rate": 0.0009631390359655003, + "loss": 3.6372, + "step": 326 + }, + { + "epoch": 0.15, + "grad_norm": 1.5689962641105155, + "learning_rate": 0.0009628585151816074, + "loss": 3.507, + "step": 327 + }, + { + "epoch": 0.15, + "grad_norm": 2.4572798772953433, + "learning_rate": 0.0009625769721928172, + "loss": 3.5708, + "step": 328 + }, + { + "epoch": 0.15, + "grad_norm": 1.6472702077520958, + "learning_rate": 0.0009622944076209061, + "loss": 3.5246, + "step": 329 + }, + { + "epoch": 0.15, + "grad_norm": 2.865868462244012, + "learning_rate": 0.0009620108220899071, + "loss": 3.6182, + "step": 330 + }, + { + "epoch": 0.15, + "grad_norm": 1.7316113536704836, + "learning_rate": 0.0009617262162261075, + "loss": 3.5954, + "step": 331 + }, + { + "epoch": 0.15, + "grad_norm": 3.2078314506262813, + "learning_rate": 0.0009614405906580486, + "loss": 3.6546, + "step": 332 + }, + { + "epoch": 0.15, + "grad_norm": 1.5812821312167562, + "learning_rate": 0.000961153946016523, + "loss": 3.5582, + "step": 333 + }, + { + "epoch": 0.15, + "grad_norm": 2.9913791037723723, + "learning_rate": 0.000960866282934574, + "loss": 3.4874, + "step": 334 + }, + { + "epoch": 0.15, + "grad_norm": 1.7380651624760204, + "learning_rate": 0.0009605776020474945, + "loss": 3.5457, + "step": 335 + }, + { + "epoch": 0.15, + "grad_norm": 3.601249338831896, + "learning_rate": 0.0009602879039928249, + "loss": 3.6139, + "step": 336 + }, + { + "epoch": 0.15, + "grad_norm": 1.775884836264968, + "learning_rate": 0.0009599971894103521, + "loss": 3.5644, + "step": 337 + }, + { + "epoch": 0.16, + "grad_norm": 3.3142369395962814, + "learning_rate": 0.0009597054589421077, + "loss": 3.5753, + "step": 338 + }, + { + "epoch": 0.16, + "grad_norm": 1.571719921389793, + "learning_rate": 0.0009594127132323669, + "loss": 3.5139, + "step": 339 + }, + { + "epoch": 0.16, + "grad_norm": 2.1565252283818004, + "learning_rate": 0.0009591189529276474, + "loss": 3.65, + "step": 340 + }, + { + "epoch": 0.16, + "grad_norm": 2.7081838692732827, + "learning_rate": 0.0009588241786767072, + "loss": 3.6086, + "step": 341 + }, + { + "epoch": 0.16, + "grad_norm": 2.9586678639587665, + "learning_rate": 0.0009585283911305436, + "loss": 3.4313, + "step": 342 + }, + { + "epoch": 0.16, + "grad_norm": 2.2776510035476853, + "learning_rate": 0.000958231590942392, + "loss": 3.5938, + "step": 343 + }, + { + "epoch": 0.16, + "grad_norm": 2.903579030222948, + "learning_rate": 0.0009579337787677238, + "loss": 3.5452, + "step": 344 + }, + { + "epoch": 0.16, + "grad_norm": 1.9468224101259228, + "learning_rate": 0.0009576349552642456, + "loss": 3.7081, + "step": 345 + }, + { + "epoch": 0.16, + "grad_norm": 2.5293673880395064, + "learning_rate": 0.0009573351210918975, + "loss": 3.4599, + "step": 346 + }, + { + "epoch": 0.16, + "grad_norm": 1.902521509478548, + "learning_rate": 0.0009570342769128514, + "loss": 3.5568, + "step": 347 + }, + { + "epoch": 0.16, + "grad_norm": 2.4831426018347473, + "learning_rate": 0.0009567324233915099, + "loss": 3.5397, + "step": 348 + }, + { + "epoch": 0.16, + "grad_norm": 1.8723534020910917, + "learning_rate": 0.0009564295611945047, + "loss": 3.6145, + "step": 349 + }, + { + "epoch": 0.16, + "grad_norm": 2.905727375371706, + "learning_rate": 0.000956125690990695, + "loss": 3.446, + "step": 350 + }, + { + "epoch": 0.16, + "grad_norm": 1.776513193191346, + "learning_rate": 0.0009558208134511665, + "loss": 3.6854, + "step": 351 + }, + { + "epoch": 0.16, + "grad_norm": 2.1596293399337165, + "learning_rate": 0.0009555149292492289, + "loss": 3.4363, + "step": 352 + }, + { + "epoch": 0.16, + "grad_norm": 1.645165846009241, + "learning_rate": 0.0009552080390604159, + "loss": 3.4653, + "step": 353 + }, + { + "epoch": 0.16, + "grad_norm": 2.447135186473615, + "learning_rate": 0.0009549001435624823, + "loss": 3.4984, + "step": 354 + }, + { + "epoch": 0.16, + "grad_norm": 2.3733483207540065, + "learning_rate": 0.0009545912434354029, + "loss": 3.5004, + "step": 355 + }, + { + "epoch": 0.16, + "grad_norm": 2.062981161435643, + "learning_rate": 0.0009542813393613721, + "loss": 3.5652, + "step": 356 + }, + { + "epoch": 0.16, + "grad_norm": 2.323212724109424, + "learning_rate": 0.0009539704320248006, + "loss": 3.538, + "step": 357 + }, + { + "epoch": 0.16, + "grad_norm": 2.322462723866227, + "learning_rate": 0.0009536585221123151, + "loss": 3.3988, + "step": 358 + }, + { + "epoch": 0.16, + "grad_norm": 2.0652298768167228, + "learning_rate": 0.0009533456103127565, + "loss": 3.719, + "step": 359 + }, + { + "epoch": 0.17, + "grad_norm": 1.8542549850214978, + "learning_rate": 0.000953031697317178, + "loss": 3.5195, + "step": 360 + }, + { + "epoch": 0.17, + "grad_norm": 1.7654916751601055, + "learning_rate": 0.0009527167838188445, + "loss": 3.5898, + "step": 361 + }, + { + "epoch": 0.17, + "grad_norm": 2.363210558320693, + "learning_rate": 0.0009524008705132299, + "loss": 3.473, + "step": 362 + }, + { + "epoch": 0.17, + "grad_norm": 1.7467350627015656, + "learning_rate": 0.0009520839580980166, + "loss": 3.4507, + "step": 363 + }, + { + "epoch": 0.17, + "grad_norm": 3.2525855334131224, + "learning_rate": 0.0009517660472730929, + "loss": 3.4954, + "step": 364 + }, + { + "epoch": 0.17, + "grad_norm": 2.0459484254839873, + "learning_rate": 0.0009514471387405526, + "loss": 3.5693, + "step": 365 + }, + { + "epoch": 0.17, + "grad_norm": 4.2043465735948145, + "learning_rate": 0.0009511272332046926, + "loss": 3.464, + "step": 366 + }, + { + "epoch": 0.17, + "grad_norm": 1.6445385079729213, + "learning_rate": 0.0009508063313720119, + "loss": 3.5707, + "step": 367 + }, + { + "epoch": 0.17, + "grad_norm": 3.444705396634754, + "learning_rate": 0.0009504844339512095, + "loss": 3.5099, + "step": 368 + }, + { + "epoch": 0.17, + "grad_norm": 1.6558910958181503, + "learning_rate": 0.0009501615416531835, + "loss": 3.5841, + "step": 369 + }, + { + "epoch": 0.17, + "grad_norm": 2.5725795663573976, + "learning_rate": 0.0009498376551910285, + "loss": 3.5298, + "step": 370 + }, + { + "epoch": 0.17, + "grad_norm": 1.7895016910698225, + "learning_rate": 0.0009495127752800352, + "loss": 3.5692, + "step": 371 + }, + { + "epoch": 0.17, + "grad_norm": 1.9825142665211966, + "learning_rate": 0.0009491869026376882, + "loss": 3.5662, + "step": 372 + }, + { + "epoch": 0.17, + "grad_norm": 1.9253987031590438, + "learning_rate": 0.0009488600379836648, + "loss": 3.5068, + "step": 373 + }, + { + "epoch": 0.17, + "grad_norm": 1.73198287134028, + "learning_rate": 0.0009485321820398321, + "loss": 3.4737, + "step": 374 + }, + { + "epoch": 0.17, + "grad_norm": 1.8630543018576293, + "learning_rate": 0.0009482033355302475, + "loss": 3.5384, + "step": 375 + }, + { + "epoch": 0.17, + "grad_norm": 1.6579794880138365, + "learning_rate": 0.0009478734991811556, + "loss": 3.4617, + "step": 376 + }, + { + "epoch": 0.17, + "grad_norm": 2.368215700721825, + "learning_rate": 0.0009475426737209871, + "loss": 3.7018, + "step": 377 + }, + { + "epoch": 0.17, + "grad_norm": 1.606722649164876, + "learning_rate": 0.000947210859880357, + "loss": 3.5272, + "step": 378 + }, + { + "epoch": 0.17, + "grad_norm": 1.6062969760305512, + "learning_rate": 0.0009468780583920631, + "loss": 3.4589, + "step": 379 + }, + { + "epoch": 0.17, + "grad_norm": 1.995180433520697, + "learning_rate": 0.0009465442699910846, + "loss": 3.5278, + "step": 380 + }, + { + "epoch": 0.17, + "grad_norm": 1.7996399619987986, + "learning_rate": 0.0009462094954145801, + "loss": 3.6991, + "step": 381 + }, + { + "epoch": 0.18, + "grad_norm": 3.395979750436394, + "learning_rate": 0.0009458737354018859, + "loss": 3.4887, + "step": 382 + }, + { + "epoch": 0.18, + "grad_norm": 1.7286426031659765, + "learning_rate": 0.000945536990694515, + "loss": 3.5372, + "step": 383 + }, + { + "epoch": 0.18, + "grad_norm": 4.530814917029733, + "learning_rate": 0.0009451992620361551, + "loss": 3.5995, + "step": 384 + }, + { + "epoch": 0.18, + "grad_norm": 1.679695584619543, + "learning_rate": 0.0009448605501726664, + "loss": 3.4579, + "step": 385 + }, + { + "epoch": 0.18, + "grad_norm": 3.7474129248144776, + "learning_rate": 0.000944520855852081, + "loss": 3.5939, + "step": 386 + }, + { + "epoch": 0.18, + "grad_norm": 1.64272080801023, + "learning_rate": 0.0009441801798246002, + "loss": 3.4266, + "step": 387 + }, + { + "epoch": 0.18, + "grad_norm": 3.05613896405206, + "learning_rate": 0.0009438385228425939, + "loss": 3.5824, + "step": 388 + }, + { + "epoch": 0.18, + "grad_norm": 2.3002083472627626, + "learning_rate": 0.0009434958856605982, + "loss": 3.6104, + "step": 389 + }, + { + "epoch": 0.18, + "grad_norm": 3.194331205933116, + "learning_rate": 0.0009431522690353137, + "loss": 3.6211, + "step": 390 + }, + { + "epoch": 0.18, + "grad_norm": 1.691690274827961, + "learning_rate": 0.0009428076737256044, + "loss": 3.4907, + "step": 391 + }, + { + "epoch": 0.18, + "grad_norm": 1.6731792509650225, + "learning_rate": 0.0009424621004924954, + "loss": 3.5944, + "step": 392 + }, + { + "epoch": 0.18, + "grad_norm": 1.6318146551581914, + "learning_rate": 0.0009421155500991719, + "loss": 3.4372, + "step": 393 + }, + { + "epoch": 0.18, + "grad_norm": 1.7760046192881567, + "learning_rate": 0.0009417680233109767, + "loss": 3.6853, + "step": 394 + }, + { + "epoch": 0.18, + "grad_norm": 1.9992977236166725, + "learning_rate": 0.000941419520895409, + "loss": 3.3896, + "step": 395 + }, + { + "epoch": 0.18, + "grad_norm": 1.726570617509536, + "learning_rate": 0.0009410700436221229, + "loss": 3.4678, + "step": 396 + }, + { + "epoch": 0.18, + "grad_norm": 1.5555208379899448, + "learning_rate": 0.0009407195922629252, + "loss": 3.4098, + "step": 397 + }, + { + "epoch": 0.18, + "grad_norm": 1.823777951397034, + "learning_rate": 0.000940368167591774, + "loss": 3.338, + "step": 398 + }, + { + "epoch": 0.18, + "grad_norm": 1.9465258220967048, + "learning_rate": 0.0009400157703847769, + "loss": 3.4794, + "step": 399 + }, + { + "epoch": 0.18, + "grad_norm": 2.3989130597967026, + "learning_rate": 0.0009396624014201895, + "loss": 3.4446, + "step": 400 + }, + { + "epoch": 0.18, + "grad_norm": 1.5715282960589165, + "learning_rate": 0.000939308061478413, + "loss": 3.4371, + "step": 401 + }, + { + "epoch": 0.18, + "grad_norm": 2.3042110979942683, + "learning_rate": 0.0009389527513419935, + "loss": 3.5076, + "step": 402 + }, + { + "epoch": 0.18, + "grad_norm": 1.6081746165739539, + "learning_rate": 0.0009385964717956195, + "loss": 3.4799, + "step": 403 + }, + { + "epoch": 0.19, + "grad_norm": 1.669501676585062, + "learning_rate": 0.0009382392236261201, + "loss": 3.4021, + "step": 404 + }, + { + "epoch": 0.19, + "grad_norm": 1.4303959075960422, + "learning_rate": 0.0009378810076224644, + "loss": 3.3759, + "step": 405 + }, + { + "epoch": 0.19, + "grad_norm": 1.576416725638094, + "learning_rate": 0.0009375218245757582, + "loss": 3.444, + "step": 406 + }, + { + "epoch": 0.19, + "grad_norm": 1.935907079674561, + "learning_rate": 0.0009371616752792432, + "loss": 3.3947, + "step": 407 + }, + { + "epoch": 0.19, + "grad_norm": 1.4561885982475906, + "learning_rate": 0.0009368005605282949, + "loss": 3.4526, + "step": 408 + }, + { + "epoch": 0.19, + "grad_norm": 1.7202209415554994, + "learning_rate": 0.0009364384811204212, + "loss": 3.5111, + "step": 409 + }, + { + "epoch": 0.19, + "grad_norm": 1.6758862323952628, + "learning_rate": 0.00093607543785526, + "loss": 3.5464, + "step": 410 + }, + { + "epoch": 0.19, + "grad_norm": 1.6099235431228816, + "learning_rate": 0.0009357114315345787, + "loss": 3.4522, + "step": 411 + }, + { + "epoch": 0.19, + "grad_norm": 2.0881738891082535, + "learning_rate": 0.0009353464629622705, + "loss": 3.4902, + "step": 412 + }, + { + "epoch": 0.19, + "grad_norm": 2.0599948997662434, + "learning_rate": 0.0009349805329443544, + "loss": 3.4213, + "step": 413 + }, + { + "epoch": 0.19, + "grad_norm": 1.7344341132374546, + "learning_rate": 0.0009346136422889724, + "loss": 3.416, + "step": 414 + }, + { + "epoch": 0.19, + "grad_norm": 1.7109549636909225, + "learning_rate": 0.0009342457918063882, + "loss": 3.468, + "step": 415 + }, + { + "epoch": 0.19, + "grad_norm": 1.731527476257493, + "learning_rate": 0.0009338769823089853, + "loss": 3.4005, + "step": 416 + }, + { + "epoch": 0.19, + "grad_norm": 1.5564932093988855, + "learning_rate": 0.0009335072146112648, + "loss": 3.4531, + "step": 417 + }, + { + "epoch": 0.19, + "grad_norm": 2.8576589207571153, + "learning_rate": 0.0009331364895298444, + "loss": 3.5917, + "step": 418 + }, + { + "epoch": 0.19, + "grad_norm": 2.770879766916332, + "learning_rate": 0.0009327648078834559, + "loss": 3.3388, + "step": 419 + }, + { + "epoch": 0.19, + "grad_norm": 1.8124718580716064, + "learning_rate": 0.0009323921704929434, + "loss": 3.4826, + "step": 420 + }, + { + "epoch": 0.19, + "grad_norm": 2.0634580228380703, + "learning_rate": 0.0009320185781812623, + "loss": 3.4785, + "step": 421 + }, + { + "epoch": 0.19, + "grad_norm": 1.8784036644581337, + "learning_rate": 0.0009316440317734762, + "loss": 3.3707, + "step": 422 + }, + { + "epoch": 0.19, + "grad_norm": 1.6687892110181501, + "learning_rate": 0.0009312685320967565, + "loss": 3.4043, + "step": 423 + }, + { + "epoch": 0.19, + "grad_norm": 1.7705816669080519, + "learning_rate": 0.0009308920799803793, + "loss": 3.5596, + "step": 424 + }, + { + "epoch": 0.19, + "grad_norm": 1.5903059770978016, + "learning_rate": 0.0009305146762557246, + "loss": 3.3598, + "step": 425 + }, + { + "epoch": 0.2, + "grad_norm": 2.0737811500232133, + "learning_rate": 0.0009301363217562736, + "loss": 3.4015, + "step": 426 + }, + { + "epoch": 0.2, + "grad_norm": 1.5043397306248527, + "learning_rate": 0.0009297570173176074, + "loss": 3.4656, + "step": 427 + }, + { + "epoch": 0.2, + "grad_norm": 1.8237923881453229, + "learning_rate": 0.000929376763777405, + "loss": 3.5637, + "step": 428 + }, + { + "epoch": 0.2, + "grad_norm": 1.649098712523963, + "learning_rate": 0.0009289955619754413, + "loss": 3.3972, + "step": 429 + }, + { + "epoch": 0.2, + "grad_norm": 2.4465461726064968, + "learning_rate": 0.0009286134127535859, + "loss": 3.5047, + "step": 430 + }, + { + "epoch": 0.2, + "grad_norm": 1.6576976327388024, + "learning_rate": 0.0009282303169558, + "loss": 3.356, + "step": 431 + }, + { + "epoch": 0.2, + "grad_norm": 2.9801314023750924, + "learning_rate": 0.0009278462754281359, + "loss": 3.3969, + "step": 432 + }, + { + "epoch": 0.2, + "grad_norm": 1.880680977994443, + "learning_rate": 0.0009274612890187342, + "loss": 3.4335, + "step": 433 + }, + { + "epoch": 0.2, + "grad_norm": 2.684435933347235, + "learning_rate": 0.0009270753585778222, + "loss": 3.4583, + "step": 434 + }, + { + "epoch": 0.2, + "grad_norm": 1.7365229633066825, + "learning_rate": 0.0009266884849577124, + "loss": 3.3409, + "step": 435 + }, + { + "epoch": 0.2, + "grad_norm": 4.385031340182239, + "learning_rate": 0.0009263006690127998, + "loss": 3.4214, + "step": 436 + }, + { + "epoch": 0.2, + "grad_norm": 1.8128207633491114, + "learning_rate": 0.0009259119115995609, + "loss": 3.4349, + "step": 437 + }, + { + "epoch": 0.2, + "grad_norm": 3.1185640465297286, + "learning_rate": 0.0009255222135765511, + "loss": 3.506, + "step": 438 + }, + { + "epoch": 0.2, + "grad_norm": 1.7369966072756575, + "learning_rate": 0.0009251315758044032, + "loss": 3.5326, + "step": 439 + }, + { + "epoch": 0.2, + "grad_norm": 3.277366829006584, + "learning_rate": 0.0009247399991458255, + "loss": 3.474, + "step": 440 + }, + { + "epoch": 0.2, + "grad_norm": 1.8120670216799835, + "learning_rate": 0.0009243474844655996, + "loss": 3.4433, + "step": 441 + }, + { + "epoch": 0.2, + "grad_norm": 2.901458389663372, + "learning_rate": 0.0009239540326305791, + "loss": 3.3993, + "step": 442 + }, + { + "epoch": 0.2, + "grad_norm": 2.9663373856195, + "learning_rate": 0.0009235596445096864, + "loss": 3.5039, + "step": 443 + }, + { + "epoch": 0.2, + "grad_norm": 3.0818799744402567, + "learning_rate": 0.0009231643209739127, + "loss": 3.5387, + "step": 444 + }, + { + "epoch": 0.2, + "grad_norm": 3.127543290742337, + "learning_rate": 0.0009227680628963145, + "loss": 3.4809, + "step": 445 + }, + { + "epoch": 0.2, + "grad_norm": 2.245303571818071, + "learning_rate": 0.000922370871152012, + "loss": 3.4785, + "step": 446 + }, + { + "epoch": 0.21, + "grad_norm": 2.95926956292938, + "learning_rate": 0.0009219727466181877, + "loss": 3.4772, + "step": 447 + }, + { + "epoch": 0.21, + "grad_norm": 1.6174311987257208, + "learning_rate": 0.0009215736901740841, + "loss": 3.4694, + "step": 448 + }, + { + "epoch": 0.21, + "grad_norm": 3.4581576732257604, + "learning_rate": 0.0009211737027010016, + "loss": 3.6154, + "step": 449 + }, + { + "epoch": 0.21, + "grad_norm": 1.526454551098847, + "learning_rate": 0.0009207727850822971, + "loss": 3.3546, + "step": 450 + }, + { + "epoch": 0.21, + "grad_norm": 1.7520609076781084, + "learning_rate": 0.0009203709382033814, + "loss": 3.4754, + "step": 451 + }, + { + "epoch": 0.21, + "grad_norm": 2.2591339907058434, + "learning_rate": 0.0009199681629517173, + "loss": 3.4977, + "step": 452 + }, + { + "epoch": 0.21, + "grad_norm": 1.6234327700136917, + "learning_rate": 0.0009195644602168184, + "loss": 3.4331, + "step": 453 + }, + { + "epoch": 0.21, + "grad_norm": 2.3407939838780325, + "learning_rate": 0.0009191598308902464, + "loss": 3.3638, + "step": 454 + }, + { + "epoch": 0.21, + "grad_norm": 1.630067229877852, + "learning_rate": 0.0009187542758656091, + "loss": 3.4307, + "step": 455 + }, + { + "epoch": 0.21, + "grad_norm": 2.2002288835796837, + "learning_rate": 0.0009183477960385591, + "loss": 3.3241, + "step": 456 + }, + { + "epoch": 0.21, + "grad_norm": 1.707296414713657, + "learning_rate": 0.0009179403923067912, + "loss": 3.4136, + "step": 457 + }, + { + "epoch": 0.21, + "grad_norm": 1.9109288072338313, + "learning_rate": 0.0009175320655700406, + "loss": 3.3404, + "step": 458 + }, + { + "epoch": 0.21, + "grad_norm": 1.6820695108884152, + "learning_rate": 0.0009171228167300805, + "loss": 3.4075, + "step": 459 + }, + { + "epoch": 0.21, + "grad_norm": 1.8319297512491712, + "learning_rate": 0.0009167126466907215, + "loss": 3.4339, + "step": 460 + }, + { + "epoch": 0.21, + "grad_norm": 1.7678304014193786, + "learning_rate": 0.0009163015563578074, + "loss": 3.4466, + "step": 461 + }, + { + "epoch": 0.21, + "grad_norm": 1.5724630986655956, + "learning_rate": 0.0009158895466392158, + "loss": 3.492, + "step": 462 + }, + { + "epoch": 0.21, + "grad_norm": 1.921178377962709, + "learning_rate": 0.0009154766184448535, + "loss": 3.3428, + "step": 463 + }, + { + "epoch": 0.21, + "grad_norm": 1.7400922659208098, + "learning_rate": 0.0009150627726866568, + "loss": 3.3615, + "step": 464 + }, + { + "epoch": 0.21, + "grad_norm": 1.661187780578636, + "learning_rate": 0.000914648010278587, + "loss": 3.3258, + "step": 465 + }, + { + "epoch": 0.21, + "grad_norm": 1.62586576884231, + "learning_rate": 0.0009142323321366315, + "loss": 3.4417, + "step": 466 + }, + { + "epoch": 0.21, + "grad_norm": 2.4314119354340953, + "learning_rate": 0.0009138157391787986, + "loss": 3.4901, + "step": 467 + }, + { + "epoch": 0.21, + "grad_norm": 2.0224138669542877, + "learning_rate": 0.0009133982323251177, + "loss": 3.2735, + "step": 468 + }, + { + "epoch": 0.22, + "grad_norm": 1.6925384146419682, + "learning_rate": 0.0009129798124976365, + "loss": 3.5049, + "step": 469 + }, + { + "epoch": 0.22, + "grad_norm": 1.674486989595892, + "learning_rate": 0.0009125604806204187, + "loss": 3.3607, + "step": 470 + }, + { + "epoch": 0.22, + "grad_norm": 1.8518739064657557, + "learning_rate": 0.0009121402376195421, + "loss": 3.2419, + "step": 471 + }, + { + "epoch": 0.22, + "grad_norm": 1.7328067175202182, + "learning_rate": 0.0009117190844230972, + "loss": 3.453, + "step": 472 + }, + { + "epoch": 0.22, + "grad_norm": 1.96966136859594, + "learning_rate": 0.0009112970219611841, + "loss": 3.304, + "step": 473 + }, + { + "epoch": 0.22, + "grad_norm": 1.7985657125785213, + "learning_rate": 0.0009108740511659115, + "loss": 3.4432, + "step": 474 + }, + { + "epoch": 0.22, + "grad_norm": 2.3223605657850603, + "learning_rate": 0.0009104501729713935, + "loss": 3.3415, + "step": 475 + }, + { + "epoch": 0.22, + "grad_norm": 1.8486279434291994, + "learning_rate": 0.0009100253883137488, + "loss": 3.3076, + "step": 476 + }, + { + "epoch": 0.22, + "grad_norm": 2.219321369812922, + "learning_rate": 0.0009095996981310974, + "loss": 3.4052, + "step": 477 + }, + { + "epoch": 0.22, + "grad_norm": 1.776250841446645, + "learning_rate": 0.0009091731033635596, + "loss": 3.3758, + "step": 478 + }, + { + "epoch": 0.22, + "grad_norm": 2.2141015445149375, + "learning_rate": 0.0009087456049532529, + "loss": 3.3954, + "step": 479 + }, + { + "epoch": 0.22, + "grad_norm": 1.8554374905009505, + "learning_rate": 0.0009083172038442914, + "loss": 3.4415, + "step": 480 + }, + { + "epoch": 0.22, + "grad_norm": 1.5351297877494183, + "learning_rate": 0.0009078879009827817, + "loss": 3.3278, + "step": 481 + }, + { + "epoch": 0.22, + "grad_norm": 1.8409082360534232, + "learning_rate": 0.0009074576973168223, + "loss": 3.3779, + "step": 482 + }, + { + "epoch": 0.22, + "grad_norm": 1.7310698124009687, + "learning_rate": 0.0009070265937965015, + "loss": 3.4068, + "step": 483 + }, + { + "epoch": 0.22, + "grad_norm": 2.4787944863607425, + "learning_rate": 0.0009065945913738942, + "loss": 3.4092, + "step": 484 + }, + { + "epoch": 0.22, + "grad_norm": 2.8313488883989413, + "learning_rate": 0.0009061616910030609, + "loss": 3.3577, + "step": 485 + }, + { + "epoch": 0.22, + "grad_norm": 1.7348537843964962, + "learning_rate": 0.0009057278936400453, + "loss": 3.2885, + "step": 486 + }, + { + "epoch": 0.22, + "grad_norm": 2.7119651834201104, + "learning_rate": 0.0009052932002428715, + "loss": 3.4091, + "step": 487 + }, + { + "epoch": 0.22, + "grad_norm": 2.272349035042926, + "learning_rate": 0.0009048576117715435, + "loss": 3.4104, + "step": 488 + }, + { + "epoch": 0.22, + "grad_norm": 2.2498018370365873, + "learning_rate": 0.0009044211291880407, + "loss": 3.3229, + "step": 489 + }, + { + "epoch": 0.22, + "grad_norm": 2.824106150939754, + "learning_rate": 0.000903983753456318, + "loss": 3.3189, + "step": 490 + }, + { + "epoch": 0.23, + "grad_norm": 1.609935440142885, + "learning_rate": 0.0009035454855423026, + "loss": 3.4166, + "step": 491 + }, + { + "epoch": 0.23, + "grad_norm": 2.1141254972422283, + "learning_rate": 0.0009031063264138922, + "loss": 3.3913, + "step": 492 + }, + { + "epoch": 0.23, + "grad_norm": 1.7380660853385321, + "learning_rate": 0.0009026662770409522, + "loss": 3.3438, + "step": 493 + }, + { + "epoch": 0.23, + "grad_norm": 2.1811362036142588, + "learning_rate": 0.0009022253383953147, + "loss": 3.45, + "step": 494 + }, + { + "epoch": 0.23, + "grad_norm": 1.591462683814806, + "learning_rate": 0.0009017835114507753, + "loss": 3.3614, + "step": 495 + }, + { + "epoch": 0.23, + "grad_norm": 1.9425986004292877, + "learning_rate": 0.0009013407971830914, + "loss": 3.3491, + "step": 496 + }, + { + "epoch": 0.23, + "grad_norm": 1.5630557926322657, + "learning_rate": 0.0009008971965699801, + "loss": 3.3664, + "step": 497 + }, + { + "epoch": 0.23, + "grad_norm": 2.0788868059004635, + "learning_rate": 0.0009004527105911163, + "loss": 3.405, + "step": 498 + }, + { + "epoch": 0.23, + "grad_norm": 1.6266886367789748, + "learning_rate": 0.0009000073402281295, + "loss": 3.358, + "step": 499 + }, + { + "epoch": 0.23, + "grad_norm": 2.3024002943298507, + "learning_rate": 0.0008995610864646028, + "loss": 3.3413, + "step": 500 + }, + { + "epoch": 0.23, + "grad_norm": 1.9408551085458854, + "learning_rate": 0.0008991139502860703, + "loss": 3.3105, + "step": 501 + }, + { + "epoch": 0.23, + "grad_norm": 1.8979616484252637, + "learning_rate": 0.0008986659326800146, + "loss": 3.2568, + "step": 502 + }, + { + "epoch": 0.23, + "grad_norm": 1.6938110041869125, + "learning_rate": 0.0008982170346358651, + "loss": 3.411, + "step": 503 + }, + { + "epoch": 0.23, + "grad_norm": 1.9963465475241668, + "learning_rate": 0.0008977672571449956, + "loss": 3.2782, + "step": 504 + }, + { + "epoch": 0.23, + "grad_norm": 1.6627237232397292, + "learning_rate": 0.0008973166012007217, + "loss": 3.4484, + "step": 505 + }, + { + "epoch": 0.23, + "grad_norm": 2.3203543409766016, + "learning_rate": 0.0008968650677982998, + "loss": 3.3438, + "step": 506 + }, + { + "epoch": 0.23, + "grad_norm": 1.758497109336238, + "learning_rate": 0.0008964126579349236, + "loss": 3.3084, + "step": 507 + }, + { + "epoch": 0.23, + "grad_norm": 2.1973061917691656, + "learning_rate": 0.0008959593726097226, + "loss": 3.2597, + "step": 508 + }, + { + "epoch": 0.23, + "grad_norm": 1.5940537867073092, + "learning_rate": 0.0008955052128237596, + "loss": 3.3105, + "step": 509 + }, + { + "epoch": 0.23, + "grad_norm": 2.195055168391578, + "learning_rate": 0.0008950501795800288, + "loss": 3.4197, + "step": 510 + }, + { + "epoch": 0.23, + "grad_norm": 2.0418348261677286, + "learning_rate": 0.0008945942738834532, + "loss": 3.2564, + "step": 511 + }, + { + "epoch": 0.23, + "grad_norm": 1.4280819467601507, + "learning_rate": 0.0008941374967408826, + "loss": 3.338, + "step": 512 + }, + { + "epoch": 0.24, + "grad_norm": 2.2888548243564, + "learning_rate": 0.0008936798491610916, + "loss": 3.3466, + "step": 513 + }, + { + "epoch": 0.24, + "grad_norm": 1.8295871252618472, + "learning_rate": 0.0008932213321547768, + "loss": 3.3985, + "step": 514 + }, + { + "epoch": 0.24, + "grad_norm": 1.6997592803909591, + "learning_rate": 0.0008927619467345554, + "loss": 3.326, + "step": 515 + }, + { + "epoch": 0.24, + "grad_norm": 2.2495292711728596, + "learning_rate": 0.0008923016939149615, + "loss": 3.2952, + "step": 516 + }, + { + "epoch": 0.24, + "grad_norm": 1.8388708751299068, + "learning_rate": 0.0008918405747124458, + "loss": 3.2362, + "step": 517 + }, + { + "epoch": 0.24, + "grad_norm": 2.781614116964968, + "learning_rate": 0.0008913785901453721, + "loss": 3.376, + "step": 518 + }, + { + "epoch": 0.24, + "grad_norm": 1.6270969308575836, + "learning_rate": 0.000890915741234015, + "loss": 3.3344, + "step": 519 + }, + { + "epoch": 0.24, + "grad_norm": 2.0925814208208435, + "learning_rate": 0.0008904520290005582, + "loss": 3.4346, + "step": 520 + }, + { + "epoch": 0.24, + "grad_norm": 1.8397152383033297, + "learning_rate": 0.000889987454469092, + "loss": 3.4677, + "step": 521 + }, + { + "epoch": 0.24, + "grad_norm": 1.9564533708950318, + "learning_rate": 0.0008895220186656111, + "loss": 3.257, + "step": 522 + }, + { + "epoch": 0.24, + "grad_norm": 1.8116627974008217, + "learning_rate": 0.0008890557226180122, + "loss": 3.3259, + "step": 523 + }, + { + "epoch": 0.24, + "grad_norm": 1.6874684079076412, + "learning_rate": 0.0008885885673560921, + "loss": 3.3317, + "step": 524 + }, + { + "epoch": 0.24, + "grad_norm": 1.6524033709996893, + "learning_rate": 0.0008881205539115444, + "loss": 3.4599, + "step": 525 + }, + { + "epoch": 0.24, + "grad_norm": 2.185942515422613, + "learning_rate": 0.0008876516833179589, + "loss": 3.3128, + "step": 526 + }, + { + "epoch": 0.24, + "grad_norm": 2.0921994030954054, + "learning_rate": 0.0008871819566108177, + "loss": 3.2384, + "step": 527 + }, + { + "epoch": 0.24, + "grad_norm": 1.7822835935721109, + "learning_rate": 0.000886711374827494, + "loss": 3.3213, + "step": 528 + }, + { + "epoch": 0.24, + "grad_norm": 1.4185008413029958, + "learning_rate": 0.0008862399390072491, + "loss": 3.3381, + "step": 529 + }, + { + "epoch": 0.24, + "grad_norm": 2.7512388894927207, + "learning_rate": 0.0008857676501912305, + "loss": 3.2829, + "step": 530 + }, + { + "epoch": 0.24, + "grad_norm": 2.4232963640970344, + "learning_rate": 0.0008852945094224697, + "loss": 3.3689, + "step": 531 + }, + { + "epoch": 0.24, + "grad_norm": 1.9024385337608616, + "learning_rate": 0.0008848205177458795, + "loss": 3.341, + "step": 532 + }, + { + "epoch": 0.24, + "grad_norm": 2.0304521109574383, + "learning_rate": 0.0008843456762082518, + "loss": 3.3124, + "step": 533 + }, + { + "epoch": 0.24, + "grad_norm": 2.663749541693311, + "learning_rate": 0.0008838699858582557, + "loss": 3.3696, + "step": 534 + }, + { + "epoch": 0.25, + "grad_norm": 2.0181175850990134, + "learning_rate": 0.0008833934477464347, + "loss": 3.4151, + "step": 535 + }, + { + "epoch": 0.25, + "grad_norm": 3.117002381369704, + "learning_rate": 0.0008829160629252045, + "loss": 3.329, + "step": 536 + }, + { + "epoch": 0.25, + "grad_norm": 1.863025243224994, + "learning_rate": 0.0008824378324488509, + "loss": 3.3564, + "step": 537 + }, + { + "epoch": 0.25, + "grad_norm": 3.3140113319528286, + "learning_rate": 0.0008819587573735268, + "loss": 3.4483, + "step": 538 + }, + { + "epoch": 0.25, + "grad_norm": 1.861241616789604, + "learning_rate": 0.0008814788387572513, + "loss": 3.2453, + "step": 539 + }, + { + "epoch": 0.25, + "grad_norm": 2.9386193096067776, + "learning_rate": 0.0008809980776599053, + "loss": 3.3605, + "step": 540 + }, + { + "epoch": 0.25, + "grad_norm": 1.7805069391035158, + "learning_rate": 0.0008805164751432312, + "loss": 3.224, + "step": 541 + }, + { + "epoch": 0.25, + "grad_norm": 1.870288981489457, + "learning_rate": 0.0008800340322708292, + "loss": 3.4167, + "step": 542 + }, + { + "epoch": 0.25, + "grad_norm": 1.8453224513220046, + "learning_rate": 0.0008795507501081555, + "loss": 3.1834, + "step": 543 + }, + { + "epoch": 0.25, + "grad_norm": 1.8352834463790855, + "learning_rate": 0.0008790666297225196, + "loss": 3.1546, + "step": 544 + }, + { + "epoch": 0.25, + "grad_norm": 2.2383655760986514, + "learning_rate": 0.0008785816721830829, + "loss": 3.3233, + "step": 545 + }, + { + "epoch": 0.25, + "grad_norm": 1.6772643971288024, + "learning_rate": 0.0008780958785608546, + "loss": 3.4182, + "step": 546 + }, + { + "epoch": 0.25, + "grad_norm": 2.3837529690021717, + "learning_rate": 0.0008776092499286912, + "loss": 3.2168, + "step": 547 + }, + { + "epoch": 0.25, + "grad_norm": 1.7728586505749226, + "learning_rate": 0.0008771217873612929, + "loss": 3.2463, + "step": 548 + }, + { + "epoch": 0.25, + "grad_norm": 1.8613987334801412, + "learning_rate": 0.0008766334919352017, + "loss": 3.4169, + "step": 549 + }, + { + "epoch": 0.25, + "grad_norm": 1.4710610344954709, + "learning_rate": 0.0008761443647287987, + "loss": 3.2841, + "step": 550 + }, + { + "epoch": 0.25, + "grad_norm": 2.0371229058722533, + "learning_rate": 0.0008756544068223026, + "loss": 3.3636, + "step": 551 + }, + { + "epoch": 0.25, + "grad_norm": 1.7865249072822424, + "learning_rate": 0.0008751636192977659, + "loss": 3.3086, + "step": 552 + }, + { + "epoch": 0.25, + "grad_norm": 2.88333169691346, + "learning_rate": 0.0008746720032390737, + "loss": 3.3316, + "step": 553 + }, + { + "epoch": 0.25, + "grad_norm": 1.4512278068120044, + "learning_rate": 0.0008741795597319408, + "loss": 3.2887, + "step": 554 + }, + { + "epoch": 0.25, + "grad_norm": 2.6615086210003165, + "learning_rate": 0.0008736862898639095, + "loss": 3.4159, + "step": 555 + }, + { + "epoch": 0.26, + "grad_norm": 1.7486853471781831, + "learning_rate": 0.0008731921947243468, + "loss": 3.3083, + "step": 556 + }, + { + "epoch": 0.26, + "grad_norm": 2.550367158434715, + "learning_rate": 0.0008726972754044427, + "loss": 3.3366, + "step": 557 + }, + { + "epoch": 0.26, + "grad_norm": 1.7867429950362206, + "learning_rate": 0.0008722015329972069, + "loss": 3.3256, + "step": 558 + }, + { + "epoch": 0.26, + "grad_norm": 2.7039659731653147, + "learning_rate": 0.0008717049685974672, + "loss": 3.3435, + "step": 559 + }, + { + "epoch": 0.26, + "grad_norm": 2.134878554851738, + "learning_rate": 0.0008712075833018665, + "loss": 3.3222, + "step": 560 + }, + { + "epoch": 0.26, + "grad_norm": 1.8039013776264234, + "learning_rate": 0.0008707093782088608, + "loss": 3.3, + "step": 561 + }, + { + "epoch": 0.26, + "grad_norm": 4.3290639415624215, + "learning_rate": 0.0008702103544187167, + "loss": 3.1758, + "step": 562 + }, + { + "epoch": 0.26, + "grad_norm": 2.8035191181213226, + "learning_rate": 0.0008697105130335085, + "loss": 3.3053, + "step": 563 + }, + { + "epoch": 0.26, + "grad_norm": 3.3638673326044772, + "learning_rate": 0.0008692098551571164, + "loss": 3.4292, + "step": 564 + }, + { + "epoch": 0.26, + "grad_norm": 2.376026297976182, + "learning_rate": 0.0008687083818952235, + "loss": 3.4196, + "step": 565 + }, + { + "epoch": 0.26, + "grad_norm": 2.613149360688895, + "learning_rate": 0.0008682060943553143, + "loss": 3.326, + "step": 566 + }, + { + "epoch": 0.26, + "grad_norm": 1.6365627898460071, + "learning_rate": 0.0008677029936466707, + "loss": 3.2567, + "step": 567 + }, + { + "epoch": 0.26, + "grad_norm": 1.8557870980695061, + "learning_rate": 0.0008671990808803711, + "loss": 3.4336, + "step": 568 + }, + { + "epoch": 0.26, + "grad_norm": 2.33864457210145, + "learning_rate": 0.0008666943571692871, + "loss": 3.3482, + "step": 569 + }, + { + "epoch": 0.26, + "grad_norm": 2.548689034074765, + "learning_rate": 0.0008661888236280813, + "loss": 3.3593, + "step": 570 + }, + { + "epoch": 0.26, + "grad_norm": 1.8438784463105635, + "learning_rate": 0.0008656824813732045, + "loss": 3.2068, + "step": 571 + }, + { + "epoch": 0.26, + "grad_norm": 1.730792380037019, + "learning_rate": 0.000865175331522894, + "loss": 3.3034, + "step": 572 + }, + { + "epoch": 0.26, + "grad_norm": 2.2491821385618223, + "learning_rate": 0.0008646673751971703, + "loss": 3.2503, + "step": 573 + }, + { + "epoch": 0.26, + "grad_norm": 1.5740825514983365, + "learning_rate": 0.000864158613517835, + "loss": 3.2725, + "step": 574 + }, + { + "epoch": 0.26, + "grad_norm": 2.185589956120587, + "learning_rate": 0.0008636490476084681, + "loss": 3.3181, + "step": 575 + }, + { + "epoch": 0.26, + "grad_norm": 1.634248626680023, + "learning_rate": 0.0008631386785944264, + "loss": 3.2235, + "step": 576 + }, + { + "epoch": 0.26, + "grad_norm": 2.2924411955336925, + "learning_rate": 0.0008626275076028397, + "loss": 3.4162, + "step": 577 + }, + { + "epoch": 0.27, + "grad_norm": 1.7567491349967659, + "learning_rate": 0.0008621155357626091, + "loss": 3.3291, + "step": 578 + }, + { + "epoch": 0.27, + "grad_norm": 1.5615222203844277, + "learning_rate": 0.0008616027642044042, + "loss": 3.3117, + "step": 579 + }, + { + "epoch": 0.27, + "grad_norm": 1.6778790408202329, + "learning_rate": 0.000861089194060661, + "loss": 3.357, + "step": 580 + }, + { + "epoch": 0.27, + "grad_norm": 1.8946696872637532, + "learning_rate": 0.000860574826465579, + "loss": 3.2355, + "step": 581 + }, + { + "epoch": 0.27, + "grad_norm": 1.6273163155038646, + "learning_rate": 0.0008600596625551191, + "loss": 3.3791, + "step": 582 + }, + { + "epoch": 0.27, + "grad_norm": 1.4952230585247044, + "learning_rate": 0.0008595437034670006, + "loss": 3.2865, + "step": 583 + }, + { + "epoch": 0.27, + "grad_norm": 1.4709272213824849, + "learning_rate": 0.0008590269503406985, + "loss": 3.232, + "step": 584 + }, + { + "epoch": 0.27, + "grad_norm": 1.7827498808437716, + "learning_rate": 0.0008585094043174423, + "loss": 3.3423, + "step": 585 + }, + { + "epoch": 0.27, + "grad_norm": 1.5851314887881403, + "learning_rate": 0.0008579910665402118, + "loss": 3.3411, + "step": 586 + }, + { + "epoch": 0.27, + "grad_norm": 1.5855188261813333, + "learning_rate": 0.000857471938153736, + "loss": 3.4136, + "step": 587 + }, + { + "epoch": 0.27, + "grad_norm": 1.678464953847863, + "learning_rate": 0.0008569520203044892, + "loss": 3.2553, + "step": 588 + }, + { + "epoch": 0.27, + "grad_norm": 1.59374643213086, + "learning_rate": 0.0008564313141406901, + "loss": 3.2333, + "step": 589 + }, + { + "epoch": 0.27, + "grad_norm": 1.8954803411062628, + "learning_rate": 0.0008559098208122973, + "loss": 3.1869, + "step": 590 + }, + { + "epoch": 0.27, + "grad_norm": 1.9611709634653063, + "learning_rate": 0.0008553875414710089, + "loss": 3.3059, + "step": 591 + }, + { + "epoch": 0.27, + "grad_norm": 2.02833831469526, + "learning_rate": 0.0008548644772702579, + "loss": 3.2143, + "step": 592 + }, + { + "epoch": 0.27, + "grad_norm": 3.031217093657953, + "learning_rate": 0.0008543406293652116, + "loss": 3.3228, + "step": 593 + }, + { + "epoch": 0.27, + "grad_norm": 2.0091486035320276, + "learning_rate": 0.0008538159989127671, + "loss": 3.3931, + "step": 594 + }, + { + "epoch": 0.27, + "grad_norm": 2.529633956266805, + "learning_rate": 0.0008532905870715505, + "loss": 3.2764, + "step": 595 + }, + { + "epoch": 0.27, + "grad_norm": 1.858018711935005, + "learning_rate": 0.0008527643950019131, + "loss": 3.3451, + "step": 596 + }, + { + "epoch": 0.27, + "grad_norm": 3.3075214232841805, + "learning_rate": 0.0008522374238659296, + "loss": 3.2885, + "step": 597 + }, + { + "epoch": 0.27, + "grad_norm": 1.8467457681123634, + "learning_rate": 0.0008517096748273951, + "loss": 3.2178, + "step": 598 + }, + { + "epoch": 0.27, + "grad_norm": 3.3201022265076268, + "learning_rate": 0.0008511811490518227, + "loss": 3.3459, + "step": 599 + }, + { + "epoch": 0.28, + "grad_norm": 1.6570543791880168, + "learning_rate": 0.0008506518477064405, + "loss": 3.3686, + "step": 600 + }, + { + "epoch": 0.28, + "grad_norm": 2.7320253754317436, + "learning_rate": 0.0008501217719601903, + "loss": 3.2651, + "step": 601 + }, + { + "epoch": 0.28, + "grad_norm": 1.7356300822211161, + "learning_rate": 0.0008495909229837233, + "loss": 3.4141, + "step": 602 + }, + { + "epoch": 0.28, + "grad_norm": 2.2907365140058658, + "learning_rate": 0.000849059301949399, + "loss": 3.1965, + "step": 603 + }, + { + "epoch": 0.28, + "grad_norm": 1.7315803349844119, + "learning_rate": 0.0008485269100312812, + "loss": 3.2143, + "step": 604 + }, + { + "epoch": 0.28, + "grad_norm": 1.936930620964027, + "learning_rate": 0.0008479937484051368, + "loss": 3.3501, + "step": 605 + }, + { + "epoch": 0.28, + "grad_norm": 1.8913047484801562, + "learning_rate": 0.0008474598182484323, + "loss": 3.3652, + "step": 606 + }, + { + "epoch": 0.28, + "grad_norm": 1.5355041001379583, + "learning_rate": 0.0008469251207403317, + "loss": 3.2047, + "step": 607 + }, + { + "epoch": 0.28, + "grad_norm": 1.6764167614756063, + "learning_rate": 0.0008463896570616934, + "loss": 3.2914, + "step": 608 + }, + { + "epoch": 0.28, + "grad_norm": 1.5291054515699833, + "learning_rate": 0.0008458534283950678, + "loss": 3.3395, + "step": 609 + }, + { + "epoch": 0.28, + "grad_norm": 1.9184746558407748, + "learning_rate": 0.0008453164359246952, + "loss": 3.2896, + "step": 610 + }, + { + "epoch": 0.28, + "grad_norm": 1.4944574068675767, + "learning_rate": 0.0008447786808365022, + "loss": 3.2726, + "step": 611 + }, + { + "epoch": 0.28, + "grad_norm": 1.4689886000708652, + "learning_rate": 0.0008442401643181, + "loss": 3.3845, + "step": 612 + }, + { + "epoch": 0.28, + "grad_norm": 1.5385297471812438, + "learning_rate": 0.0008437008875587811, + "loss": 3.2654, + "step": 613 + }, + { + "epoch": 0.28, + "grad_norm": 1.9604500907643785, + "learning_rate": 0.0008431608517495171, + "loss": 3.2073, + "step": 614 + }, + { + "epoch": 0.28, + "grad_norm": 1.5668938585863246, + "learning_rate": 0.0008426200580829561, + "loss": 3.2007, + "step": 615 + }, + { + "epoch": 0.28, + "grad_norm": 1.9012734605208454, + "learning_rate": 0.0008420785077534195, + "loss": 3.2283, + "step": 616 + }, + { + "epoch": 0.28, + "grad_norm": 1.6270365599128624, + "learning_rate": 0.0008415362019569001, + "loss": 3.3658, + "step": 617 + }, + { + "epoch": 0.28, + "grad_norm": 2.0824453101345703, + "learning_rate": 0.0008409931418910591, + "loss": 3.2513, + "step": 618 + }, + { + "epoch": 0.28, + "grad_norm": 1.557332063817956, + "learning_rate": 0.0008404493287552232, + "loss": 3.2874, + "step": 619 + }, + { + "epoch": 0.28, + "grad_norm": 2.119438314477117, + "learning_rate": 0.0008399047637503825, + "loss": 3.2559, + "step": 620 + }, + { + "epoch": 0.28, + "grad_norm": 1.513885439772425, + "learning_rate": 0.0008393594480791875, + "loss": 3.2442, + "step": 621 + }, + { + "epoch": 0.29, + "grad_norm": 2.132035909354857, + "learning_rate": 0.0008388133829459463, + "loss": 3.321, + "step": 622 + }, + { + "epoch": 0.29, + "grad_norm": 1.784783485577915, + "learning_rate": 0.0008382665695566227, + "loss": 3.3442, + "step": 623 + }, + { + "epoch": 0.29, + "grad_norm": 1.8788302785292716, + "learning_rate": 0.0008377190091188324, + "loss": 3.1885, + "step": 624 + }, + { + "epoch": 0.29, + "grad_norm": 1.5178194304415435, + "learning_rate": 0.0008371707028418413, + "loss": 3.2908, + "step": 625 + }, + { + "epoch": 0.29, + "grad_norm": 1.774439470622937, + "learning_rate": 0.0008366216519365621, + "loss": 3.3697, + "step": 626 + }, + { + "epoch": 0.29, + "grad_norm": 1.5926630739731682, + "learning_rate": 0.0008360718576155525, + "loss": 3.2184, + "step": 627 + }, + { + "epoch": 0.29, + "grad_norm": 1.8879180995201594, + "learning_rate": 0.0008355213210930118, + "loss": 3.2693, + "step": 628 + }, + { + "epoch": 0.29, + "grad_norm": 1.734027998042461, + "learning_rate": 0.0008349700435847778, + "loss": 3.328, + "step": 629 + }, + { + "epoch": 0.29, + "grad_norm": 1.6089493506575585, + "learning_rate": 0.0008344180263083256, + "loss": 3.3093, + "step": 630 + }, + { + "epoch": 0.29, + "grad_norm": 1.9012205475341957, + "learning_rate": 0.000833865270482764, + "loss": 3.1791, + "step": 631 + }, + { + "epoch": 0.29, + "grad_norm": 1.7167795784242552, + "learning_rate": 0.0008333117773288324, + "loss": 3.1349, + "step": 632 + }, + { + "epoch": 0.29, + "grad_norm": 1.5225098312867988, + "learning_rate": 0.0008327575480688985, + "loss": 3.1746, + "step": 633 + }, + { + "epoch": 0.29, + "grad_norm": 1.4541304445349534, + "learning_rate": 0.000832202583926956, + "loss": 3.2395, + "step": 634 + }, + { + "epoch": 0.29, + "grad_norm": 1.501094025951985, + "learning_rate": 0.0008316468861286217, + "loss": 3.2419, + "step": 635 + }, + { + "epoch": 0.29, + "grad_norm": 1.584852677052243, + "learning_rate": 0.0008310904559011323, + "loss": 3.2189, + "step": 636 + }, + { + "epoch": 0.29, + "grad_norm": 1.6953742978001891, + "learning_rate": 0.0008305332944733419, + "loss": 3.2605, + "step": 637 + }, + { + "epoch": 0.29, + "grad_norm": 1.5150863277629674, + "learning_rate": 0.0008299754030757202, + "loss": 3.2322, + "step": 638 + }, + { + "epoch": 0.29, + "grad_norm": 1.9411671267670116, + "learning_rate": 0.0008294167829403481, + "loss": 3.3244, + "step": 639 + }, + { + "epoch": 0.29, + "grad_norm": 2.366225187442535, + "learning_rate": 0.0008288574353009164, + "loss": 3.2694, + "step": 640 + }, + { + "epoch": 0.29, + "grad_norm": 1.4690552559356713, + "learning_rate": 0.0008282973613927225, + "loss": 3.2528, + "step": 641 + }, + { + "epoch": 0.29, + "grad_norm": 1.9084292847323951, + "learning_rate": 0.0008277365624526675, + "loss": 3.2738, + "step": 642 + }, + { + "epoch": 0.29, + "grad_norm": 1.6921728769728186, + "learning_rate": 0.0008271750397192541, + "loss": 3.1199, + "step": 643 + }, + { + "epoch": 0.3, + "grad_norm": 1.6365330530082103, + "learning_rate": 0.0008266127944325832, + "loss": 3.2161, + "step": 644 + }, + { + "epoch": 0.3, + "grad_norm": 1.4821829854373865, + "learning_rate": 0.0008260498278343513, + "loss": 3.2194, + "step": 645 + }, + { + "epoch": 0.3, + "grad_norm": 2.2077887381837242, + "learning_rate": 0.0008254861411678485, + "loss": 3.2157, + "step": 646 + }, + { + "epoch": 0.3, + "grad_norm": 2.218017572475962, + "learning_rate": 0.0008249217356779544, + "loss": 3.2348, + "step": 647 + }, + { + "epoch": 0.3, + "grad_norm": 1.7056540316586297, + "learning_rate": 0.0008243566126111363, + "loss": 3.1797, + "step": 648 + }, + { + "epoch": 0.3, + "grad_norm": 1.7753730742496463, + "learning_rate": 0.0008237907732154466, + "loss": 3.2712, + "step": 649 + }, + { + "epoch": 0.3, + "grad_norm": 1.8498605437313873, + "learning_rate": 0.0008232242187405194, + "loss": 3.2276, + "step": 650 + }, + { + "epoch": 0.3, + "grad_norm": 1.625675930926069, + "learning_rate": 0.000822656950437568, + "loss": 3.2881, + "step": 651 + }, + { + "epoch": 0.3, + "grad_norm": 2.2570009302715484, + "learning_rate": 0.0008220889695593823, + "loss": 3.2903, + "step": 652 + }, + { + "epoch": 0.3, + "grad_norm": 2.186257060413251, + "learning_rate": 0.0008215202773603259, + "loss": 3.2817, + "step": 653 + }, + { + "epoch": 0.3, + "grad_norm": 1.5746107112952663, + "learning_rate": 0.0008209508750963328, + "loss": 3.1865, + "step": 654 + }, + { + "epoch": 0.3, + "grad_norm": 1.9149625008871842, + "learning_rate": 0.0008203807640249062, + "loss": 3.2574, + "step": 655 + }, + { + "epoch": 0.3, + "grad_norm": 1.6050674213773084, + "learning_rate": 0.0008198099454051136, + "loss": 3.3231, + "step": 656 + }, + { + "epoch": 0.3, + "grad_norm": 1.667855666901752, + "learning_rate": 0.0008192384204975857, + "loss": 3.2268, + "step": 657 + }, + { + "epoch": 0.3, + "grad_norm": 1.5122845842026393, + "learning_rate": 0.000818666190564513, + "loss": 3.2615, + "step": 658 + }, + { + "epoch": 0.3, + "grad_norm": 1.572438910147217, + "learning_rate": 0.0008180932568696426, + "loss": 3.1187, + "step": 659 + }, + { + "epoch": 0.3, + "grad_norm": 1.9191530583228213, + "learning_rate": 0.0008175196206782764, + "loss": 3.2416, + "step": 660 + }, + { + "epoch": 0.3, + "grad_norm": 1.5189775851859841, + "learning_rate": 0.0008169452832572675, + "loss": 3.1698, + "step": 661 + }, + { + "epoch": 0.3, + "grad_norm": 1.5547057914520774, + "learning_rate": 0.0008163702458750173, + "loss": 3.3375, + "step": 662 + }, + { + "epoch": 0.3, + "grad_norm": 1.4324753988768066, + "learning_rate": 0.0008157945098014734, + "loss": 3.2925, + "step": 663 + }, + { + "epoch": 0.3, + "grad_norm": 1.6481647655269158, + "learning_rate": 0.0008152180763081267, + "loss": 3.2841, + "step": 664 + }, + { + "epoch": 0.31, + "grad_norm": 1.4547746922567637, + "learning_rate": 0.0008146409466680076, + "loss": 3.2777, + "step": 665 + }, + { + "epoch": 0.31, + "grad_norm": 1.9039716751476037, + "learning_rate": 0.0008140631221556845, + "loss": 3.2677, + "step": 666 + }, + { + "epoch": 0.31, + "grad_norm": 1.9652240777327876, + "learning_rate": 0.0008134846040472599, + "loss": 3.3126, + "step": 667 + }, + { + "epoch": 0.31, + "grad_norm": 3.3155298029478684, + "learning_rate": 0.0008129053936203688, + "loss": 3.3557, + "step": 668 + }, + { + "epoch": 0.31, + "grad_norm": 1.7857987920606522, + "learning_rate": 0.0008123254921541745, + "loss": 3.2684, + "step": 669 + }, + { + "epoch": 0.31, + "grad_norm": 2.7247279100938093, + "learning_rate": 0.0008117449009293668, + "loss": 3.2268, + "step": 670 + }, + { + "epoch": 0.31, + "grad_norm": 1.658142300366259, + "learning_rate": 0.0008111636212281586, + "loss": 3.2669, + "step": 671 + }, + { + "epoch": 0.31, + "grad_norm": 2.7449411517622884, + "learning_rate": 0.0008105816543342833, + "loss": 3.2614, + "step": 672 + }, + { + "epoch": 0.31, + "grad_norm": 1.7655773336304372, + "learning_rate": 0.0008099990015329919, + "loss": 3.2546, + "step": 673 + }, + { + "epoch": 0.31, + "grad_norm": 2.1078083764044595, + "learning_rate": 0.0008094156641110504, + "loss": 3.2361, + "step": 674 + }, + { + "epoch": 0.31, + "grad_norm": 1.60525240333491, + "learning_rate": 0.0008088316433567369, + "loss": 3.3166, + "step": 675 + }, + { + "epoch": 0.31, + "grad_norm": 1.8106558271549442, + "learning_rate": 0.0008082469405598378, + "loss": 3.3211, + "step": 676 + }, + { + "epoch": 0.31, + "grad_norm": 1.9484061229681748, + "learning_rate": 0.0008076615570116468, + "loss": 3.2326, + "step": 677 + }, + { + "epoch": 0.31, + "grad_norm": 1.6219908421959777, + "learning_rate": 0.0008070754940049603, + "loss": 3.2618, + "step": 678 + }, + { + "epoch": 0.31, + "grad_norm": 1.5475953180602613, + "learning_rate": 0.0008064887528340756, + "loss": 3.1618, + "step": 679 + }, + { + "epoch": 0.31, + "grad_norm": 2.20893414541729, + "learning_rate": 0.0008059013347947874, + "loss": 3.2445, + "step": 680 + }, + { + "epoch": 0.31, + "grad_norm": 2.3917020194020395, + "learning_rate": 0.0008053132411843857, + "loss": 3.216, + "step": 681 + }, + { + "epoch": 0.31, + "grad_norm": 1.6855781155795742, + "learning_rate": 0.0008047244733016521, + "loss": 3.2361, + "step": 682 + }, + { + "epoch": 0.31, + "grad_norm": 2.002077066474074, + "learning_rate": 0.0008041350324468573, + "loss": 3.1587, + "step": 683 + }, + { + "epoch": 0.31, + "grad_norm": 2.0910455289122436, + "learning_rate": 0.0008035449199217583, + "loss": 3.2212, + "step": 684 + }, + { + "epoch": 0.31, + "grad_norm": 1.6755627122099985, + "learning_rate": 0.0008029541370295957, + "loss": 3.3213, + "step": 685 + }, + { + "epoch": 0.31, + "grad_norm": 2.6928380931849847, + "learning_rate": 0.0008023626850750903, + "loss": 3.2462, + "step": 686 + }, + { + "epoch": 0.32, + "grad_norm": 2.0378230576532266, + "learning_rate": 0.0008017705653644406, + "loss": 3.265, + "step": 687 + }, + { + "epoch": 0.32, + "grad_norm": 2.157296478120413, + "learning_rate": 0.0008011777792053195, + "loss": 3.1538, + "step": 688 + }, + { + "epoch": 0.32, + "grad_norm": 1.8281523042513712, + "learning_rate": 0.0008005843279068725, + "loss": 3.2552, + "step": 689 + }, + { + "epoch": 0.32, + "grad_norm": 2.090635657186393, + "learning_rate": 0.000799990212779713, + "loss": 3.2403, + "step": 690 + }, + { + "epoch": 0.32, + "grad_norm": 3.3673169019920453, + "learning_rate": 0.0007993954351359214, + "loss": 3.2366, + "step": 691 + }, + { + "epoch": 0.32, + "grad_norm": 2.8079639963908294, + "learning_rate": 0.0007987999962890406, + "loss": 3.3953, + "step": 692 + }, + { + "epoch": 0.32, + "grad_norm": 2.025920396574933, + "learning_rate": 0.0007982038975540742, + "loss": 3.1545, + "step": 693 + }, + { + "epoch": 0.32, + "grad_norm": 1.6163936940434052, + "learning_rate": 0.0007976071402474826, + "loss": 3.2087, + "step": 694 + }, + { + "epoch": 0.32, + "grad_norm": 2.088965932299249, + "learning_rate": 0.0007970097256871811, + "loss": 3.3125, + "step": 695 + }, + { + "epoch": 0.32, + "grad_norm": 1.577412773323062, + "learning_rate": 0.0007964116551925364, + "loss": 3.2191, + "step": 696 + }, + { + "epoch": 0.32, + "grad_norm": 1.5281456507288242, + "learning_rate": 0.0007958129300843637, + "loss": 3.0747, + "step": 697 + }, + { + "epoch": 0.32, + "grad_norm": 1.8386835458916255, + "learning_rate": 0.0007952135516849239, + "loss": 3.0903, + "step": 698 + }, + { + "epoch": 0.32, + "grad_norm": 1.6710332406295618, + "learning_rate": 0.0007946135213179207, + "loss": 3.3258, + "step": 699 + }, + { + "epoch": 0.32, + "grad_norm": 1.8381029706644612, + "learning_rate": 0.0007940128403084977, + "loss": 3.3274, + "step": 700 + }, + { + "epoch": 0.32, + "grad_norm": 1.6444167200313866, + "learning_rate": 0.0007934115099832355, + "loss": 3.2321, + "step": 701 + }, + { + "epoch": 0.32, + "grad_norm": 1.5865564476523442, + "learning_rate": 0.0007928095316701483, + "loss": 3.204, + "step": 702 + }, + { + "epoch": 0.32, + "grad_norm": 1.4085903740741983, + "learning_rate": 0.0007922069066986819, + "loss": 3.2365, + "step": 703 + }, + { + "epoch": 0.32, + "grad_norm": 1.7161612897559329, + "learning_rate": 0.0007916036363997097, + "loss": 3.1803, + "step": 704 + }, + { + "epoch": 0.32, + "grad_norm": 1.4576485600964313, + "learning_rate": 0.0007909997221055308, + "loss": 3.2443, + "step": 705 + }, + { + "epoch": 0.32, + "grad_norm": 2.06651719331994, + "learning_rate": 0.0007903951651498658, + "loss": 3.1647, + "step": 706 + }, + { + "epoch": 0.32, + "grad_norm": 1.7096757727245953, + "learning_rate": 0.0007897899668678557, + "loss": 3.195, + "step": 707 + }, + { + "epoch": 0.32, + "grad_norm": 2.7683778684369704, + "learning_rate": 0.0007891841285960566, + "loss": 3.2613, + "step": 708 + }, + { + "epoch": 0.33, + "grad_norm": 1.8010771472402651, + "learning_rate": 0.0007885776516724388, + "loss": 3.1374, + "step": 709 + }, + { + "epoch": 0.33, + "grad_norm": 2.951405188215397, + "learning_rate": 0.0007879705374363831, + "loss": 3.1955, + "step": 710 + }, + { + "epoch": 0.33, + "grad_norm": 1.6745342350624652, + "learning_rate": 0.000787362787228677, + "loss": 3.2199, + "step": 711 + }, + { + "epoch": 0.33, + "grad_norm": 1.9214864180582365, + "learning_rate": 0.0007867544023915134, + "loss": 3.2867, + "step": 712 + }, + { + "epoch": 0.33, + "grad_norm": 1.9106943510732517, + "learning_rate": 0.0007861453842684861, + "loss": 3.154, + "step": 713 + }, + { + "epoch": 0.33, + "grad_norm": 2.0352394642324056, + "learning_rate": 0.0007855357342045882, + "loss": 3.1987, + "step": 714 + }, + { + "epoch": 0.33, + "grad_norm": 1.6026867651507097, + "learning_rate": 0.0007849254535462074, + "loss": 3.1834, + "step": 715 + }, + { + "epoch": 0.33, + "grad_norm": 2.1832723711084974, + "learning_rate": 0.0007843145436411252, + "loss": 3.2072, + "step": 716 + }, + { + "epoch": 0.33, + "grad_norm": 1.8756942125036153, + "learning_rate": 0.0007837030058385117, + "loss": 3.2, + "step": 717 + }, + { + "epoch": 0.33, + "grad_norm": 1.9912745319099179, + "learning_rate": 0.0007830908414889246, + "loss": 3.3468, + "step": 718 + }, + { + "epoch": 0.33, + "grad_norm": 2.3397929586206634, + "learning_rate": 0.0007824780519443046, + "loss": 3.1953, + "step": 719 + }, + { + "epoch": 0.33, + "grad_norm": 1.7393798894606853, + "learning_rate": 0.0007818646385579735, + "loss": 3.1519, + "step": 720 + }, + { + "epoch": 0.33, + "grad_norm": 2.512863573733873, + "learning_rate": 0.0007812506026846307, + "loss": 3.2201, + "step": 721 + }, + { + "epoch": 0.33, + "grad_norm": 1.6544149459777076, + "learning_rate": 0.0007806359456803504, + "loss": 3.2748, + "step": 722 + }, + { + "epoch": 0.33, + "grad_norm": 2.0318783725445577, + "learning_rate": 0.0007800206689025785, + "loss": 3.2332, + "step": 723 + }, + { + "epoch": 0.33, + "grad_norm": 1.4574612874830737, + "learning_rate": 0.0007794047737101297, + "loss": 3.2183, + "step": 724 + }, + { + "epoch": 0.33, + "grad_norm": 1.9163628482455417, + "learning_rate": 0.0007787882614631843, + "loss": 3.2221, + "step": 725 + }, + { + "epoch": 0.33, + "grad_norm": 1.8179379659308197, + "learning_rate": 0.0007781711335232856, + "loss": 3.2157, + "step": 726 + }, + { + "epoch": 0.33, + "grad_norm": 1.7927994173637265, + "learning_rate": 0.0007775533912533363, + "loss": 3.2988, + "step": 727 + }, + { + "epoch": 0.33, + "grad_norm": 1.5163647733683836, + "learning_rate": 0.0007769350360175962, + "loss": 3.3804, + "step": 728 + }, + { + "epoch": 0.33, + "grad_norm": 1.4697130889826326, + "learning_rate": 0.0007763160691816784, + "loss": 3.2476, + "step": 729 + }, + { + "epoch": 0.33, + "grad_norm": 1.878575399499073, + "learning_rate": 0.000775696492112547, + "loss": 3.1393, + "step": 730 + }, + { + "epoch": 0.34, + "grad_norm": 1.6266011995414054, + "learning_rate": 0.0007750763061785137, + "loss": 3.1769, + "step": 731 + }, + { + "epoch": 0.34, + "grad_norm": 1.6516890588901725, + "learning_rate": 0.000774455512749235, + "loss": 3.204, + "step": 732 + }, + { + "epoch": 0.34, + "grad_norm": 1.586379755541604, + "learning_rate": 0.0007738341131957085, + "loss": 3.1408, + "step": 733 + }, + { + "epoch": 0.34, + "grad_norm": 1.9226582939479724, + "learning_rate": 0.000773212108890271, + "loss": 3.1321, + "step": 734 + }, + { + "epoch": 0.34, + "grad_norm": 1.6962646168686792, + "learning_rate": 0.0007725895012065947, + "loss": 3.0934, + "step": 735 + }, + { + "epoch": 0.34, + "grad_norm": 1.5755694696212907, + "learning_rate": 0.0007719662915196844, + "loss": 3.1296, + "step": 736 + }, + { + "epoch": 0.34, + "grad_norm": 1.8406356088854496, + "learning_rate": 0.0007713424812058736, + "loss": 3.2235, + "step": 737 + }, + { + "epoch": 0.34, + "grad_norm": 1.4592940285045928, + "learning_rate": 0.0007707180716428237, + "loss": 3.3698, + "step": 738 + }, + { + "epoch": 0.34, + "grad_norm": 1.6882198573196878, + "learning_rate": 0.0007700930642095184, + "loss": 3.235, + "step": 739 + }, + { + "epoch": 0.34, + "grad_norm": 1.6256710878360054, + "learning_rate": 0.0007694674602862621, + "loss": 3.1936, + "step": 740 + }, + { + "epoch": 0.34, + "grad_norm": 2.4300788778406077, + "learning_rate": 0.0007688412612546769, + "loss": 3.1979, + "step": 741 + }, + { + "epoch": 0.34, + "grad_norm": 1.9974377083572334, + "learning_rate": 0.0007682144684976983, + "loss": 3.0689, + "step": 742 + }, + { + "epoch": 0.34, + "grad_norm": 1.7054462066273737, + "learning_rate": 0.0007675870833995739, + "loss": 3.1627, + "step": 743 + }, + { + "epoch": 0.34, + "grad_norm": 1.6260377336471654, + "learning_rate": 0.0007669591073458592, + "loss": 3.3312, + "step": 744 + }, + { + "epoch": 0.34, + "grad_norm": 1.7265083112119854, + "learning_rate": 0.0007663305417234146, + "loss": 3.1772, + "step": 745 + }, + { + "epoch": 0.34, + "grad_norm": 1.9619677503696025, + "learning_rate": 0.0007657013879204022, + "loss": 3.1702, + "step": 746 + }, + { + "epoch": 0.34, + "grad_norm": 2.411620179950431, + "learning_rate": 0.0007650716473262842, + "loss": 3.0489, + "step": 747 + }, + { + "epoch": 0.34, + "grad_norm": 1.5092407213949726, + "learning_rate": 0.0007644413213318177, + "loss": 3.1417, + "step": 748 + }, + { + "epoch": 0.34, + "grad_norm": 1.6654110672605138, + "learning_rate": 0.0007638104113290531, + "loss": 3.1357, + "step": 749 + }, + { + "epoch": 0.34, + "grad_norm": 1.6005785138564161, + "learning_rate": 0.0007631789187113303, + "loss": 3.1938, + "step": 750 + }, + { + "epoch": 0.34, + "grad_norm": 1.556438698024105, + "learning_rate": 0.000762546844873276, + "loss": 3.1223, + "step": 751 + }, + { + "epoch": 0.34, + "grad_norm": 1.6659487571491298, + "learning_rate": 0.0007619141912108007, + "loss": 3.3353, + "step": 752 + }, + { + "epoch": 0.35, + "grad_norm": 2.102816381124882, + "learning_rate": 0.000761280959121095, + "loss": 3.0863, + "step": 753 + }, + { + "epoch": 0.35, + "grad_norm": 1.6263920595211936, + "learning_rate": 0.0007606471500026273, + "loss": 3.2202, + "step": 754 + }, + { + "epoch": 0.35, + "grad_norm": 1.8187866726733068, + "learning_rate": 0.0007600127652551401, + "loss": 3.0783, + "step": 755 + }, + { + "epoch": 0.35, + "grad_norm": 1.5721795629578137, + "learning_rate": 0.0007593778062796472, + "loss": 3.1889, + "step": 756 + }, + { + "epoch": 0.35, + "grad_norm": 1.7149815564292814, + "learning_rate": 0.000758742274478431, + "loss": 3.3861, + "step": 757 + }, + { + "epoch": 0.35, + "grad_norm": 1.6874558502229173, + "learning_rate": 0.0007581061712550381, + "loss": 3.2173, + "step": 758 + }, + { + "epoch": 0.35, + "grad_norm": 2.1261167488888506, + "learning_rate": 0.0007574694980142779, + "loss": 3.1617, + "step": 759 + }, + { + "epoch": 0.35, + "grad_norm": 1.4305797515028313, + "learning_rate": 0.0007568322561622183, + "loss": 3.138, + "step": 760 + }, + { + "epoch": 0.35, + "grad_norm": 2.3129366821629165, + "learning_rate": 0.0007561944471061826, + "loss": 3.2028, + "step": 761 + }, + { + "epoch": 0.35, + "grad_norm": 1.712508040049101, + "learning_rate": 0.0007555560722547475, + "loss": 3.0381, + "step": 762 + }, + { + "epoch": 0.35, + "grad_norm": 2.3179660423582655, + "learning_rate": 0.0007549171330177387, + "loss": 3.3383, + "step": 763 + }, + { + "epoch": 0.35, + "grad_norm": 2.0021985370394653, + "learning_rate": 0.0007542776308062285, + "loss": 3.1707, + "step": 764 + }, + { + "epoch": 0.35, + "grad_norm": 2.3161006077704913, + "learning_rate": 0.0007536375670325325, + "loss": 3.1827, + "step": 765 + }, + { + "epoch": 0.35, + "grad_norm": 2.0148454233049806, + "learning_rate": 0.0007529969431102063, + "loss": 3.2658, + "step": 766 + }, + { + "epoch": 0.35, + "grad_norm": 2.075062658278405, + "learning_rate": 0.000752355760454043, + "loss": 3.2421, + "step": 767 + }, + { + "epoch": 0.35, + "grad_norm": 2.323218710096702, + "learning_rate": 0.0007517140204800693, + "loss": 3.2062, + "step": 768 + }, + { + "epoch": 0.35, + "grad_norm": 2.6807239807123646, + "learning_rate": 0.0007510717246055425, + "loss": 3.2061, + "step": 769 + }, + { + "epoch": 0.35, + "grad_norm": 2.0255943237685536, + "learning_rate": 0.0007504288742489482, + "loss": 3.2271, + "step": 770 + }, + { + "epoch": 0.35, + "grad_norm": 2.2665670251579866, + "learning_rate": 0.0007497854708299963, + "loss": 3.1349, + "step": 771 + }, + { + "epoch": 0.35, + "grad_norm": 2.1243190329433546, + "learning_rate": 0.0007491415157696178, + "loss": 3.1308, + "step": 772 + }, + { + "epoch": 0.35, + "grad_norm": 2.332683133182367, + "learning_rate": 0.0007484970104899623, + "loss": 3.151, + "step": 773 + }, + { + "epoch": 0.36, + "grad_norm": 1.651005462122057, + "learning_rate": 0.0007478519564143945, + "loss": 3.2394, + "step": 774 + }, + { + "epoch": 0.36, + "grad_norm": 1.5373902039508047, + "learning_rate": 0.000747206354967491, + "loss": 3.2163, + "step": 775 + }, + { + "epoch": 0.36, + "grad_norm": 1.7381798652498675, + "learning_rate": 0.0007465602075750373, + "loss": 3.1161, + "step": 776 + }, + { + "epoch": 0.36, + "grad_norm": 1.5631235907759242, + "learning_rate": 0.0007459135156640247, + "loss": 3.246, + "step": 777 + }, + { + "epoch": 0.36, + "grad_norm": 1.521095952362014, + "learning_rate": 0.0007452662806626468, + "loss": 3.1417, + "step": 778 + }, + { + "epoch": 0.36, + "grad_norm": 1.7606683880589544, + "learning_rate": 0.0007446185040002967, + "loss": 3.0674, + "step": 779 + }, + { + "epoch": 0.36, + "grad_norm": 1.7407251679192068, + "learning_rate": 0.0007439701871075642, + "loss": 3.2889, + "step": 780 + }, + { + "epoch": 0.36, + "grad_norm": 1.7505544192978821, + "learning_rate": 0.0007433213314162313, + "loss": 3.1224, + "step": 781 + }, + { + "epoch": 0.36, + "grad_norm": 1.47913580077128, + "learning_rate": 0.0007426719383592705, + "loss": 3.1218, + "step": 782 + }, + { + "epoch": 0.36, + "grad_norm": 1.6410772041931971, + "learning_rate": 0.000742022009370841, + "loss": 3.0781, + "step": 783 + }, + { + "epoch": 0.36, + "grad_norm": 1.5089566442658133, + "learning_rate": 0.0007413715458862855, + "loss": 3.1643, + "step": 784 + }, + { + "epoch": 0.36, + "grad_norm": 1.4076095791246044, + "learning_rate": 0.0007407205493421272, + "loss": 3.1746, + "step": 785 + }, + { + "epoch": 0.36, + "grad_norm": 1.3926091624563461, + "learning_rate": 0.0007400690211760661, + "loss": 3.0795, + "step": 786 + }, + { + "epoch": 0.36, + "grad_norm": 1.868482364668368, + "learning_rate": 0.0007394169628269771, + "loss": 3.0074, + "step": 787 + }, + { + "epoch": 0.36, + "grad_norm": 1.6311128031982587, + "learning_rate": 0.0007387643757349051, + "loss": 3.0572, + "step": 788 + }, + { + "epoch": 0.36, + "grad_norm": 1.913701513748886, + "learning_rate": 0.0007381112613410635, + "loss": 3.1157, + "step": 789 + }, + { + "epoch": 0.36, + "grad_norm": 1.8722807020423806, + "learning_rate": 0.0007374576210878298, + "loss": 3.2709, + "step": 790 + }, + { + "epoch": 0.36, + "grad_norm": 1.655327290623419, + "learning_rate": 0.0007368034564187425, + "loss": 3.1216, + "step": 791 + }, + { + "epoch": 0.36, + "grad_norm": 1.4507540500984517, + "learning_rate": 0.0007361487687784989, + "loss": 3.1682, + "step": 792 + }, + { + "epoch": 0.36, + "grad_norm": 1.899845121320468, + "learning_rate": 0.0007354935596129513, + "loss": 3.1984, + "step": 793 + }, + { + "epoch": 0.36, + "grad_norm": 1.6489314881090773, + "learning_rate": 0.000734837830369103, + "loss": 3.142, + "step": 794 + }, + { + "epoch": 0.36, + "grad_norm": 1.8403989004377288, + "learning_rate": 0.0007341815824951066, + "loss": 3.0636, + "step": 795 + }, + { + "epoch": 0.37, + "grad_norm": 1.9162957346685565, + "learning_rate": 0.0007335248174402597, + "loss": 3.1162, + "step": 796 + }, + { + "epoch": 0.37, + "grad_norm": 1.569858367691908, + "learning_rate": 0.0007328675366550023, + "loss": 3.0428, + "step": 797 + }, + { + "epoch": 0.37, + "grad_norm": 1.4931999338315192, + "learning_rate": 0.0007322097415909134, + "loss": 3.1993, + "step": 798 + }, + { + "epoch": 0.37, + "grad_norm": 1.9860394006884592, + "learning_rate": 0.0007315514337007071, + "loss": 3.0724, + "step": 799 + }, + { + "epoch": 0.37, + "grad_norm": 1.7278402279167804, + "learning_rate": 0.0007308926144382312, + "loss": 3.1784, + "step": 800 + }, + { + "epoch": 0.37, + "grad_norm": 1.7214341597506415, + "learning_rate": 0.0007302332852584619, + "loss": 3.2013, + "step": 801 + }, + { + "epoch": 0.37, + "grad_norm": 2.450293527541703, + "learning_rate": 0.0007295734476175018, + "loss": 3.1306, + "step": 802 + }, + { + "epoch": 0.37, + "grad_norm": 1.4929611021318305, + "learning_rate": 0.0007289131029725768, + "loss": 3.157, + "step": 803 + }, + { + "epoch": 0.37, + "grad_norm": 2.354889165200498, + "learning_rate": 0.0007282522527820319, + "loss": 3.0947, + "step": 804 + }, + { + "epoch": 0.37, + "grad_norm": 1.683017971380692, + "learning_rate": 0.000727590898505329, + "loss": 3.0944, + "step": 805 + }, + { + "epoch": 0.37, + "grad_norm": 2.8678719814946176, + "learning_rate": 0.0007269290416030429, + "loss": 3.1058, + "step": 806 + }, + { + "epoch": 0.37, + "grad_norm": 1.6141259375651669, + "learning_rate": 0.000726266683536859, + "loss": 3.1105, + "step": 807 + }, + { + "epoch": 0.37, + "grad_norm": 2.113676715476671, + "learning_rate": 0.0007256038257695687, + "loss": 3.1189, + "step": 808 + }, + { + "epoch": 0.37, + "grad_norm": 1.5359819737571316, + "learning_rate": 0.0007249404697650678, + "loss": 3.1186, + "step": 809 + }, + { + "epoch": 0.37, + "grad_norm": 1.9645979193038337, + "learning_rate": 0.0007242766169883518, + "loss": 3.2304, + "step": 810 + }, + { + "epoch": 0.37, + "grad_norm": 1.9511568090318838, + "learning_rate": 0.0007236122689055138, + "loss": 3.2126, + "step": 811 + }, + { + "epoch": 0.37, + "grad_norm": 1.6893886023916138, + "learning_rate": 0.0007229474269837401, + "loss": 3.2523, + "step": 812 + }, + { + "epoch": 0.37, + "grad_norm": 2.8273029211219423, + "learning_rate": 0.0007222820926913085, + "loss": 3.0867, + "step": 813 + }, + { + "epoch": 0.37, + "grad_norm": 1.8811231121528642, + "learning_rate": 0.0007216162674975833, + "loss": 3.2349, + "step": 814 + }, + { + "epoch": 0.37, + "grad_norm": 2.3205803892513632, + "learning_rate": 0.0007209499528730138, + "loss": 3.1508, + "step": 815 + }, + { + "epoch": 0.37, + "grad_norm": 1.9234703308090473, + "learning_rate": 0.0007202831502891294, + "loss": 3.0858, + "step": 816 + }, + { + "epoch": 0.37, + "grad_norm": 2.727929060292976, + "learning_rate": 0.0007196158612185375, + "loss": 3.2121, + "step": 817 + }, + { + "epoch": 0.38, + "grad_norm": 1.725379772522385, + "learning_rate": 0.0007189480871349201, + "loss": 3.12, + "step": 818 + }, + { + "epoch": 0.38, + "grad_norm": 1.7202311465482414, + "learning_rate": 0.0007182798295130299, + "loss": 3.092, + "step": 819 + }, + { + "epoch": 0.38, + "grad_norm": 1.9479313497985353, + "learning_rate": 0.0007176110898286878, + "loss": 3.1203, + "step": 820 + }, + { + "epoch": 0.38, + "grad_norm": 1.691145081758446, + "learning_rate": 0.0007169418695587791, + "loss": 3.0941, + "step": 821 + }, + { + "epoch": 0.38, + "grad_norm": 1.7293499367792555, + "learning_rate": 0.0007162721701812506, + "loss": 3.1087, + "step": 822 + }, + { + "epoch": 0.38, + "grad_norm": 1.494160183158333, + "learning_rate": 0.0007156019931751072, + "loss": 2.99, + "step": 823 + }, + { + "epoch": 0.38, + "grad_norm": 1.5784100303938573, + "learning_rate": 0.0007149313400204082, + "loss": 3.1292, + "step": 824 + }, + { + "epoch": 0.38, + "grad_norm": 1.615411957145368, + "learning_rate": 0.0007142602121982653, + "loss": 3.1937, + "step": 825 + }, + { + "epoch": 0.38, + "grad_norm": 2.695059468275302, + "learning_rate": 0.0007135886111908379, + "loss": 3.1782, + "step": 826 + }, + { + "epoch": 0.38, + "grad_norm": 1.7501834160188223, + "learning_rate": 0.0007129165384813303, + "loss": 3.1567, + "step": 827 + }, + { + "epoch": 0.38, + "grad_norm": 2.9922249593968737, + "learning_rate": 0.0007122439955539888, + "loss": 3.2571, + "step": 828 + }, + { + "epoch": 0.38, + "grad_norm": 1.6839999480207588, + "learning_rate": 0.0007115709838940983, + "loss": 3.2879, + "step": 829 + }, + { + "epoch": 0.38, + "grad_norm": 2.314396109142333, + "learning_rate": 0.0007108975049879785, + "loss": 3.1627, + "step": 830 + }, + { + "epoch": 0.38, + "grad_norm": 1.4530195195606805, + "learning_rate": 0.0007102235603229814, + "loss": 3.1881, + "step": 831 + }, + { + "epoch": 0.38, + "grad_norm": 1.6990194610140126, + "learning_rate": 0.000709549151387487, + "loss": 3.2108, + "step": 832 + }, + { + "epoch": 0.38, + "grad_norm": 1.7786590279134915, + "learning_rate": 0.0007088742796709013, + "loss": 3.1522, + "step": 833 + }, + { + "epoch": 0.38, + "grad_norm": 2.2299109153663377, + "learning_rate": 0.000708198946663652, + "loss": 3.1791, + "step": 834 + }, + { + "epoch": 0.38, + "grad_norm": 1.961723249979613, + "learning_rate": 0.0007075231538571856, + "loss": 3.1425, + "step": 835 + }, + { + "epoch": 0.38, + "grad_norm": 2.3144761522834507, + "learning_rate": 0.0007068469027439641, + "loss": 3.2021, + "step": 836 + }, + { + "epoch": 0.38, + "grad_norm": 1.5319554644192204, + "learning_rate": 0.0007061701948174613, + "loss": 3.1403, + "step": 837 + }, + { + "epoch": 0.38, + "grad_norm": 2.0200450871503266, + "learning_rate": 0.0007054930315721606, + "loss": 3.0059, + "step": 838 + }, + { + "epoch": 0.38, + "grad_norm": 1.5717293908755845, + "learning_rate": 0.0007048154145035501, + "loss": 3.0885, + "step": 839 + }, + { + "epoch": 0.39, + "grad_norm": 2.1054133592596465, + "learning_rate": 0.0007041373451081207, + "loss": 3.1079, + "step": 840 + }, + { + "epoch": 0.39, + "grad_norm": 1.5818256296936288, + "learning_rate": 0.0007034588248833621, + "loss": 3.1456, + "step": 841 + }, + { + "epoch": 0.39, + "grad_norm": 2.140130063920986, + "learning_rate": 0.0007027798553277595, + "loss": 3.2052, + "step": 842 + }, + { + "epoch": 0.39, + "grad_norm": 1.5938038309913194, + "learning_rate": 0.0007021004379407909, + "loss": 3.197, + "step": 843 + }, + { + "epoch": 0.39, + "grad_norm": 2.54717164790457, + "learning_rate": 0.0007014205742229227, + "loss": 3.0764, + "step": 844 + }, + { + "epoch": 0.39, + "grad_norm": 1.8064533316138534, + "learning_rate": 0.0007007402656756072, + "loss": 3.0927, + "step": 845 + }, + { + "epoch": 0.39, + "grad_norm": 2.6922913237044352, + "learning_rate": 0.0007000595138012797, + "loss": 3.2371, + "step": 846 + }, + { + "epoch": 0.39, + "grad_norm": 1.6995912563505757, + "learning_rate": 0.0006993783201033535, + "loss": 3.1469, + "step": 847 + }, + { + "epoch": 0.39, + "grad_norm": 2.115797610710769, + "learning_rate": 0.0006986966860862182, + "loss": 3.1794, + "step": 848 + }, + { + "epoch": 0.39, + "grad_norm": 2.2175464886064544, + "learning_rate": 0.000698014613255236, + "loss": 3.0583, + "step": 849 + }, + { + "epoch": 0.39, + "grad_norm": 1.5009707658820797, + "learning_rate": 0.0006973321031167382, + "loss": 3.0539, + "step": 850 + }, + { + "epoch": 0.39, + "grad_norm": 2.611655013160259, + "learning_rate": 0.0006966491571780216, + "loss": 3.2693, + "step": 851 + }, + { + "epoch": 0.39, + "grad_norm": 1.671576066184977, + "learning_rate": 0.0006959657769473453, + "loss": 3.0357, + "step": 852 + }, + { + "epoch": 0.39, + "grad_norm": 1.8996039366411634, + "learning_rate": 0.000695281963933928, + "loss": 3.1822, + "step": 853 + }, + { + "epoch": 0.39, + "grad_norm": 2.1909698335652337, + "learning_rate": 0.0006945977196479438, + "loss": 3.1551, + "step": 854 + }, + { + "epoch": 0.39, + "grad_norm": 1.6469937577448077, + "learning_rate": 0.0006939130456005196, + "loss": 3.2247, + "step": 855 + }, + { + "epoch": 0.39, + "grad_norm": 2.222440492509311, + "learning_rate": 0.0006932279433037311, + "loss": 3.1467, + "step": 856 + }, + { + "epoch": 0.39, + "grad_norm": 1.7020179777112021, + "learning_rate": 0.0006925424142705997, + "loss": 3.1853, + "step": 857 + }, + { + "epoch": 0.39, + "grad_norm": 1.7344365527808279, + "learning_rate": 0.0006918564600150896, + "loss": 3.1706, + "step": 858 + }, + { + "epoch": 0.39, + "grad_norm": 2.2915749503824463, + "learning_rate": 0.0006911700820521042, + "loss": 3.1909, + "step": 859 + }, + { + "epoch": 0.39, + "grad_norm": 1.5171973417767473, + "learning_rate": 0.0006904832818974818, + "loss": 3.1013, + "step": 860 + }, + { + "epoch": 0.39, + "grad_norm": 2.335634544970706, + "learning_rate": 0.0006897960610679939, + "loss": 3.2227, + "step": 861 + }, + { + "epoch": 0.4, + "grad_norm": 1.671179365255327, + "learning_rate": 0.0006891084210813407, + "loss": 3.1887, + "step": 862 + }, + { + "epoch": 0.4, + "grad_norm": 1.7122844801890789, + "learning_rate": 0.0006884203634561483, + "loss": 3.13, + "step": 863 + }, + { + "epoch": 0.4, + "grad_norm": 2.125326897029215, + "learning_rate": 0.0006877318897119651, + "loss": 3.2115, + "step": 864 + }, + { + "epoch": 0.4, + "grad_norm": 1.6326034857487297, + "learning_rate": 0.0006870430013692579, + "loss": 3.1472, + "step": 865 + }, + { + "epoch": 0.4, + "grad_norm": 2.2523480564280853, + "learning_rate": 0.0006863536999494101, + "loss": 3.1074, + "step": 866 + }, + { + "epoch": 0.4, + "grad_norm": 1.5676535947764079, + "learning_rate": 0.0006856639869747167, + "loss": 3.1672, + "step": 867 + }, + { + "epoch": 0.4, + "grad_norm": 2.4392167024591687, + "learning_rate": 0.0006849738639683818, + "loss": 3.146, + "step": 868 + }, + { + "epoch": 0.4, + "grad_norm": 1.5301561136740458, + "learning_rate": 0.000684283332454515, + "loss": 3.1624, + "step": 869 + }, + { + "epoch": 0.4, + "grad_norm": 2.241397181613629, + "learning_rate": 0.0006835923939581281, + "loss": 3.0948, + "step": 870 + }, + { + "epoch": 0.4, + "grad_norm": 1.5374893695614553, + "learning_rate": 0.0006829010500051318, + "loss": 3.177, + "step": 871 + }, + { + "epoch": 0.4, + "grad_norm": 2.0045552507315185, + "learning_rate": 0.0006822093021223321, + "loss": 3.1742, + "step": 872 + }, + { + "epoch": 0.4, + "grad_norm": 2.016328053106204, + "learning_rate": 0.0006815171518374268, + "loss": 3.1629, + "step": 873 + }, + { + "epoch": 0.4, + "grad_norm": 1.6118614535838869, + "learning_rate": 0.0006808246006790031, + "loss": 3.0884, + "step": 874 + }, + { + "epoch": 0.4, + "grad_norm": 1.9352563515412222, + "learning_rate": 0.0006801316501765329, + "loss": 3.1638, + "step": 875 + }, + { + "epoch": 0.4, + "grad_norm": 1.507732992864948, + "learning_rate": 0.0006794383018603704, + "loss": 3.2171, + "step": 876 + }, + { + "epoch": 0.4, + "grad_norm": 1.7053826621791635, + "learning_rate": 0.0006787445572617481, + "loss": 3.1901, + "step": 877 + }, + { + "epoch": 0.4, + "grad_norm": 1.6974441072640574, + "learning_rate": 0.0006780504179127734, + "loss": 3.1393, + "step": 878 + }, + { + "epoch": 0.4, + "grad_norm": 1.6305201411754326, + "learning_rate": 0.0006773558853464265, + "loss": 3.0911, + "step": 879 + }, + { + "epoch": 0.4, + "grad_norm": 2.4933171271709322, + "learning_rate": 0.000676660961096555, + "loss": 3.0986, + "step": 880 + }, + { + "epoch": 0.4, + "grad_norm": 1.945266796007687, + "learning_rate": 0.000675965646697872, + "loss": 3.2514, + "step": 881 + }, + { + "epoch": 0.4, + "grad_norm": 2.119107579581053, + "learning_rate": 0.0006752699436859519, + "loss": 3.1317, + "step": 882 + }, + { + "epoch": 0.4, + "grad_norm": 1.4381609049088484, + "learning_rate": 0.0006745738535972279, + "loss": 3.0758, + "step": 883 + }, + { + "epoch": 0.41, + "grad_norm": 3.0947640238615595, + "learning_rate": 0.0006738773779689874, + "loss": 3.161, + "step": 884 + }, + { + "epoch": 0.41, + "grad_norm": 1.550179984749495, + "learning_rate": 0.0006731805183393696, + "loss": 3.1112, + "step": 885 + }, + { + "epoch": 0.41, + "grad_norm": 2.709025785785192, + "learning_rate": 0.0006724832762473618, + "loss": 3.0612, + "step": 886 + }, + { + "epoch": 0.41, + "grad_norm": 1.9234652471189986, + "learning_rate": 0.0006717856532327956, + "loss": 3.1251, + "step": 887 + }, + { + "epoch": 0.41, + "grad_norm": 2.721677627894101, + "learning_rate": 0.0006710876508363444, + "loss": 3.1774, + "step": 888 + }, + { + "epoch": 0.41, + "grad_norm": 2.240685500173532, + "learning_rate": 0.0006703892705995189, + "loss": 3.2334, + "step": 889 + }, + { + "epoch": 0.41, + "grad_norm": 1.920671251562104, + "learning_rate": 0.0006696905140646647, + "loss": 3.2522, + "step": 890 + }, + { + "epoch": 0.41, + "grad_norm": 2.68428397171846, + "learning_rate": 0.0006689913827749581, + "loss": 3.1461, + "step": 891 + }, + { + "epoch": 0.41, + "grad_norm": 1.4918247941583043, + "learning_rate": 0.0006682918782744032, + "loss": 3.1372, + "step": 892 + }, + { + "epoch": 0.41, + "grad_norm": 2.6333684087004166, + "learning_rate": 0.0006675920021078282, + "loss": 3.033, + "step": 893 + }, + { + "epoch": 0.41, + "grad_norm": 1.9805189873163929, + "learning_rate": 0.0006668917558208823, + "loss": 3.2289, + "step": 894 + }, + { + "epoch": 0.41, + "grad_norm": 1.6319258281375724, + "learning_rate": 0.0006661911409600321, + "loss": 3.1462, + "step": 895 + }, + { + "epoch": 0.41, + "grad_norm": 2.6183120312350097, + "learning_rate": 0.0006654901590725577, + "loss": 3.1364, + "step": 896 + }, + { + "epoch": 0.41, + "grad_norm": 1.9074885807555102, + "learning_rate": 0.0006647888117065507, + "loss": 3.2026, + "step": 897 + }, + { + "epoch": 0.41, + "grad_norm": 2.659892577934357, + "learning_rate": 0.0006640871004109086, + "loss": 3.1069, + "step": 898 + }, + { + "epoch": 0.41, + "grad_norm": 2.1786669979190987, + "learning_rate": 0.000663385026735334, + "loss": 2.9962, + "step": 899 + }, + { + "epoch": 0.41, + "grad_norm": 1.5170011534376997, + "learning_rate": 0.0006626825922303285, + "loss": 3.2195, + "step": 900 + }, + { + "epoch": 0.41, + "grad_norm": 2.5191128038511814, + "learning_rate": 0.0006619797984471915, + "loss": 3.1443, + "step": 901 + }, + { + "epoch": 0.41, + "grad_norm": 1.6542627279948923, + "learning_rate": 0.0006612766469380158, + "loss": 3.1775, + "step": 902 + }, + { + "epoch": 0.41, + "grad_norm": 2.0371797612885456, + "learning_rate": 0.0006605731392556833, + "loss": 3.2764, + "step": 903 + }, + { + "epoch": 0.41, + "grad_norm": 1.7613978531119094, + "learning_rate": 0.0006598692769538637, + "loss": 3.1164, + "step": 904 + }, + { + "epoch": 0.42, + "grad_norm": 1.5559821311280055, + "learning_rate": 0.0006591650615870091, + "loss": 3.1462, + "step": 905 + }, + { + "epoch": 0.42, + "grad_norm": 1.8181226273009328, + "learning_rate": 0.0006584604947103514, + "loss": 3.14, + "step": 906 + }, + { + "epoch": 0.42, + "grad_norm": 1.7438167381202476, + "learning_rate": 0.0006577555778798993, + "loss": 3.114, + "step": 907 + }, + { + "epoch": 0.42, + "grad_norm": 1.4717798800125022, + "learning_rate": 0.0006570503126524336, + "loss": 3.096, + "step": 908 + }, + { + "epoch": 0.42, + "grad_norm": 2.4213514679430177, + "learning_rate": 0.0006563447005855054, + "loss": 3.1452, + "step": 909 + }, + { + "epoch": 0.42, + "grad_norm": 1.5427617777425804, + "learning_rate": 0.000655638743237431, + "loss": 3.1416, + "step": 910 + }, + { + "epoch": 0.42, + "grad_norm": 1.8891332428432026, + "learning_rate": 0.0006549324421672894, + "loss": 3.1786, + "step": 911 + }, + { + "epoch": 0.42, + "grad_norm": 1.4991314983700288, + "learning_rate": 0.0006542257989349194, + "loss": 3.0642, + "step": 912 + }, + { + "epoch": 0.42, + "grad_norm": 1.738894542830529, + "learning_rate": 0.0006535188151009142, + "loss": 3.1494, + "step": 913 + }, + { + "epoch": 0.42, + "grad_norm": 1.5242211867828066, + "learning_rate": 0.0006528114922266204, + "loss": 3.1716, + "step": 914 + }, + { + "epoch": 0.42, + "grad_norm": 1.5369598444884751, + "learning_rate": 0.0006521038318741327, + "loss": 3.1655, + "step": 915 + }, + { + "epoch": 0.42, + "grad_norm": 1.7318457702461243, + "learning_rate": 0.0006513958356062912, + "loss": 3.1392, + "step": 916 + }, + { + "epoch": 0.42, + "grad_norm": 1.5963680861544027, + "learning_rate": 0.0006506875049866781, + "loss": 3.0891, + "step": 917 + }, + { + "epoch": 0.42, + "grad_norm": 1.638510479560546, + "learning_rate": 0.0006499788415796137, + "loss": 3.1322, + "step": 918 + }, + { + "epoch": 0.42, + "grad_norm": 1.96922010526347, + "learning_rate": 0.0006492698469501532, + "loss": 3.0388, + "step": 919 + }, + { + "epoch": 0.42, + "grad_norm": 1.5683219005595723, + "learning_rate": 0.0006485605226640837, + "loss": 3.1309, + "step": 920 + }, + { + "epoch": 0.42, + "grad_norm": 1.9824509108382127, + "learning_rate": 0.00064785087028792, + "loss": 3.1795, + "step": 921 + }, + { + "epoch": 0.42, + "grad_norm": 1.8473396692225412, + "learning_rate": 0.0006471408913889019, + "loss": 3.0265, + "step": 922 + }, + { + "epoch": 0.42, + "grad_norm": 1.6387952697145323, + "learning_rate": 0.0006464305875349892, + "loss": 3.0574, + "step": 923 + }, + { + "epoch": 0.42, + "grad_norm": 1.9062867721962635, + "learning_rate": 0.000645719960294861, + "loss": 3.0083, + "step": 924 + }, + { + "epoch": 0.42, + "grad_norm": 1.5735644513195686, + "learning_rate": 0.0006450090112379092, + "loss": 3.083, + "step": 925 + }, + { + "epoch": 0.42, + "grad_norm": 1.7523861997174695, + "learning_rate": 0.0006442977419342371, + "loss": 3.0017, + "step": 926 + }, + { + "epoch": 0.43, + "grad_norm": 1.5351321040768353, + "learning_rate": 0.000643586153954655, + "loss": 3.1136, + "step": 927 + }, + { + "epoch": 0.43, + "grad_norm": 1.719082332479609, + "learning_rate": 0.0006428742488706772, + "loss": 3.0544, + "step": 928 + }, + { + "epoch": 0.43, + "grad_norm": 1.7579345600403649, + "learning_rate": 0.0006421620282545182, + "loss": 3.0673, + "step": 929 + }, + { + "epoch": 0.43, + "grad_norm": 1.720079553140734, + "learning_rate": 0.0006414494936790892, + "loss": 3.1394, + "step": 930 + }, + { + "epoch": 0.43, + "grad_norm": 2.1118202830892305, + "learning_rate": 0.0006407366467179951, + "loss": 3.0982, + "step": 931 + }, + { + "epoch": 0.43, + "grad_norm": 2.1444454535591038, + "learning_rate": 0.0006400234889455301, + "loss": 3.2082, + "step": 932 + }, + { + "epoch": 0.43, + "grad_norm": 1.9783242716828728, + "learning_rate": 0.0006393100219366755, + "loss": 3.1895, + "step": 933 + }, + { + "epoch": 0.43, + "grad_norm": 2.494946305470995, + "learning_rate": 0.0006385962472670953, + "loss": 3.1251, + "step": 934 + }, + { + "epoch": 0.43, + "grad_norm": 1.5785660797617074, + "learning_rate": 0.0006378821665131328, + "loss": 3.0398, + "step": 935 + }, + { + "epoch": 0.43, + "grad_norm": 1.884995993758215, + "learning_rate": 0.0006371677812518072, + "loss": 3.1574, + "step": 936 + }, + { + "epoch": 0.43, + "grad_norm": 1.7705203325294778, + "learning_rate": 0.0006364530930608107, + "loss": 3.041, + "step": 937 + }, + { + "epoch": 0.43, + "grad_norm": 1.9662112156798564, + "learning_rate": 0.0006357381035185038, + "loss": 3.0917, + "step": 938 + }, + { + "epoch": 0.43, + "grad_norm": 2.065390893460396, + "learning_rate": 0.0006350228142039131, + "loss": 3.1093, + "step": 939 + }, + { + "epoch": 0.43, + "grad_norm": 1.6306583763461684, + "learning_rate": 0.000634307226696727, + "loss": 3.0046, + "step": 940 + }, + { + "epoch": 0.43, + "grad_norm": 1.8130980953010158, + "learning_rate": 0.0006335913425772926, + "loss": 3.1791, + "step": 941 + }, + { + "epoch": 0.43, + "grad_norm": 1.6410035677974113, + "learning_rate": 0.0006328751634266117, + "loss": 3.0174, + "step": 942 + }, + { + "epoch": 0.43, + "grad_norm": 1.6439640052695121, + "learning_rate": 0.0006321586908263382, + "loss": 3.0572, + "step": 943 + }, + { + "epoch": 0.43, + "grad_norm": 1.4285895717652652, + "learning_rate": 0.0006314419263587732, + "loss": 3.1676, + "step": 944 + }, + { + "epoch": 0.43, + "grad_norm": 1.4169738286027103, + "learning_rate": 0.0006307248716068637, + "loss": 3.0629, + "step": 945 + }, + { + "epoch": 0.43, + "grad_norm": 1.4865580608245732, + "learning_rate": 0.0006300075281541964, + "loss": 3.0446, + "step": 946 + }, + { + "epoch": 0.43, + "grad_norm": 1.7651335382219715, + "learning_rate": 0.0006292898975849966, + "loss": 3.2305, + "step": 947 + }, + { + "epoch": 0.43, + "grad_norm": 1.455113947615389, + "learning_rate": 0.000628571981484123, + "loss": 3.0558, + "step": 948 + }, + { + "epoch": 0.44, + "grad_norm": 1.4843742795025654, + "learning_rate": 0.0006278537814370654, + "loss": 3.1837, + "step": 949 + }, + { + "epoch": 0.44, + "grad_norm": 1.635140708611304, + "learning_rate": 0.0006271352990299406, + "loss": 3.1889, + "step": 950 + }, + { + "epoch": 0.44, + "grad_norm": 1.51307415674298, + "learning_rate": 0.0006264165358494885, + "loss": 3.1108, + "step": 951 + }, + { + "epoch": 0.44, + "grad_norm": 1.9528921117650087, + "learning_rate": 0.0006256974934830694, + "loss": 3.2093, + "step": 952 + }, + { + "epoch": 0.44, + "grad_norm": 1.6480265072989657, + "learning_rate": 0.0006249781735186606, + "loss": 3.17, + "step": 953 + }, + { + "epoch": 0.44, + "grad_norm": 1.592791193496641, + "learning_rate": 0.0006242585775448518, + "loss": 3.178, + "step": 954 + }, + { + "epoch": 0.44, + "grad_norm": 1.5290344128848277, + "learning_rate": 0.0006235387071508427, + "loss": 3.0545, + "step": 955 + }, + { + "epoch": 0.44, + "grad_norm": 1.7210559965244077, + "learning_rate": 0.0006228185639264384, + "loss": 3.1445, + "step": 956 + }, + { + "epoch": 0.44, + "grad_norm": 1.7383195583268876, + "learning_rate": 0.0006220981494620475, + "loss": 3.1198, + "step": 957 + }, + { + "epoch": 0.44, + "grad_norm": 1.594894219734358, + "learning_rate": 0.000621377465348677, + "loss": 3.1547, + "step": 958 + }, + { + "epoch": 0.44, + "grad_norm": 2.2721387123948587, + "learning_rate": 0.0006206565131779293, + "loss": 3.0625, + "step": 959 + }, + { + "epoch": 0.44, + "grad_norm": 1.4824928556581032, + "learning_rate": 0.0006199352945419994, + "loss": 3.1238, + "step": 960 + }, + { + "epoch": 0.44, + "grad_norm": 2.0462460317578377, + "learning_rate": 0.00061921381103367, + "loss": 3.1682, + "step": 961 + }, + { + "epoch": 0.44, + "grad_norm": 1.6215343589165414, + "learning_rate": 0.0006184920642463094, + "loss": 3.2052, + "step": 962 + }, + { + "epoch": 0.44, + "grad_norm": 1.981994930642667, + "learning_rate": 0.0006177700557738672, + "loss": 3.1501, + "step": 963 + }, + { + "epoch": 0.44, + "grad_norm": 1.5683578531926254, + "learning_rate": 0.0006170477872108706, + "loss": 2.9721, + "step": 964 + }, + { + "epoch": 0.44, + "grad_norm": 1.663885628633806, + "learning_rate": 0.0006163252601524216, + "loss": 3.1027, + "step": 965 + }, + { + "epoch": 0.44, + "grad_norm": 1.959929720419253, + "learning_rate": 0.0006156024761941925, + "loss": 3.122, + "step": 966 + }, + { + "epoch": 0.44, + "grad_norm": 1.3223120127297205, + "learning_rate": 0.000614879436932424, + "loss": 3.1132, + "step": 967 + }, + { + "epoch": 0.44, + "grad_norm": 1.4051183896731336, + "learning_rate": 0.0006141561439639196, + "loss": 3.0307, + "step": 968 + }, + { + "epoch": 0.44, + "grad_norm": 1.636899807326773, + "learning_rate": 0.0006134325988860433, + "loss": 3.0695, + "step": 969 + }, + { + "epoch": 0.44, + "grad_norm": 1.5255815059056335, + "learning_rate": 0.0006127088032967165, + "loss": 3.0094, + "step": 970 + }, + { + "epoch": 0.45, + "grad_norm": 1.631453548330054, + "learning_rate": 0.0006119847587944131, + "loss": 3.0507, + "step": 971 + }, + { + "epoch": 0.45, + "grad_norm": 1.632622304723368, + "learning_rate": 0.0006112604669781572, + "loss": 3.0651, + "step": 972 + }, + { + "epoch": 0.45, + "grad_norm": 1.3540179822684577, + "learning_rate": 0.0006105359294475188, + "loss": 3.191, + "step": 973 + }, + { + "epoch": 0.45, + "grad_norm": 1.7232828676923142, + "learning_rate": 0.0006098111478026107, + "loss": 3.1302, + "step": 974 + }, + { + "epoch": 0.45, + "grad_norm": 1.6504747062127119, + "learning_rate": 0.0006090861236440848, + "loss": 3.1304, + "step": 975 + }, + { + "epoch": 0.45, + "grad_norm": 1.6560376278858822, + "learning_rate": 0.0006083608585731282, + "loss": 3.0731, + "step": 976 + }, + { + "epoch": 0.45, + "grad_norm": 2.125335924655279, + "learning_rate": 0.0006076353541914609, + "loss": 3.0767, + "step": 977 + }, + { + "epoch": 0.45, + "grad_norm": 1.6960124972972803, + "learning_rate": 0.0006069096121013307, + "loss": 3.1393, + "step": 978 + }, + { + "epoch": 0.45, + "grad_norm": 1.7448803200148488, + "learning_rate": 0.0006061836339055105, + "loss": 3.0839, + "step": 979 + }, + { + "epoch": 0.45, + "grad_norm": 1.823775001237499, + "learning_rate": 0.0006054574212072948, + "loss": 3.1362, + "step": 980 + }, + { + "epoch": 0.45, + "grad_norm": 1.678772930904242, + "learning_rate": 0.0006047309756104958, + "loss": 3.0376, + "step": 981 + }, + { + "epoch": 0.45, + "grad_norm": 1.559641643967172, + "learning_rate": 0.00060400429871944, + "loss": 3.1428, + "step": 982 + }, + { + "epoch": 0.45, + "grad_norm": 1.6052175217845739, + "learning_rate": 0.0006032773921389654, + "loss": 3.0462, + "step": 983 + }, + { + "epoch": 0.45, + "grad_norm": 1.7891246881032654, + "learning_rate": 0.0006025502574744162, + "loss": 3.0993, + "step": 984 + }, + { + "epoch": 0.45, + "grad_norm": 1.5283861242088674, + "learning_rate": 0.000601822896331641, + "loss": 3.0301, + "step": 985 + }, + { + "epoch": 0.45, + "grad_norm": 1.7820176671834704, + "learning_rate": 0.0006010953103169883, + "loss": 2.9828, + "step": 986 + }, + { + "epoch": 0.45, + "grad_norm": 1.6249676554868204, + "learning_rate": 0.0006003675010373034, + "loss": 3.0792, + "step": 987 + }, + { + "epoch": 0.45, + "grad_norm": 1.8115016275995162, + "learning_rate": 0.0005996394700999246, + "loss": 3.1556, + "step": 988 + }, + { + "epoch": 0.45, + "grad_norm": 1.5465818939745644, + "learning_rate": 0.0005989112191126794, + "loss": 3.0141, + "step": 989 + }, + { + "epoch": 0.45, + "grad_norm": 1.6464982691357528, + "learning_rate": 0.0005981827496838822, + "loss": 3.0247, + "step": 990 + }, + { + "epoch": 0.45, + "grad_norm": 1.5307343046917956, + "learning_rate": 0.0005974540634223286, + "loss": 3.0853, + "step": 991 + }, + { + "epoch": 0.45, + "grad_norm": 2.4576044959693344, + "learning_rate": 0.0005967251619372939, + "loss": 3.0957, + "step": 992 + }, + { + "epoch": 0.46, + "grad_norm": 1.6853949495434328, + "learning_rate": 0.0005959960468385284, + "loss": 3.1857, + "step": 993 + }, + { + "epoch": 0.46, + "grad_norm": 2.373781380190026, + "learning_rate": 0.0005952667197362542, + "loss": 3.072, + "step": 994 + }, + { + "epoch": 0.46, + "grad_norm": 1.6188017661833256, + "learning_rate": 0.0005945371822411621, + "loss": 3.0767, + "step": 995 + }, + { + "epoch": 0.46, + "grad_norm": 2.3618284968444687, + "learning_rate": 0.0005938074359644063, + "loss": 2.9975, + "step": 996 + }, + { + "epoch": 0.46, + "grad_norm": 1.5920516106529974, + "learning_rate": 0.0005930774825176034, + "loss": 3.0952, + "step": 997 + }, + { + "epoch": 0.46, + "grad_norm": 1.5500000806719112, + "learning_rate": 0.0005923473235128268, + "loss": 3.0843, + "step": 998 + }, + { + "epoch": 0.46, + "grad_norm": 1.7944877508500965, + "learning_rate": 0.0005916169605626042, + "loss": 3.0787, + "step": 999 + }, + { + "epoch": 0.46, + "grad_norm": 1.3173809165478791, + "learning_rate": 0.0005908863952799134, + "loss": 3.0289, + "step": 1000 + }, + { + "epoch": 0.46, + "grad_norm": 1.6180414779254642, + "learning_rate": 0.0005901556292781793, + "loss": 3.0748, + "step": 1001 + }, + { + "epoch": 0.46, + "grad_norm": 1.5097031879160119, + "learning_rate": 0.0005894246641712698, + "loss": 3.0799, + "step": 1002 + }, + { + "epoch": 0.46, + "grad_norm": 1.4430414773533038, + "learning_rate": 0.0005886935015734931, + "loss": 3.0999, + "step": 1003 + }, + { + "epoch": 0.46, + "grad_norm": 1.4174478971331803, + "learning_rate": 0.0005879621430995928, + "loss": 2.9652, + "step": 1004 + }, + { + "epoch": 0.46, + "grad_norm": 1.4438100822292805, + "learning_rate": 0.0005872305903647455, + "loss": 3.1088, + "step": 1005 + }, + { + "epoch": 0.46, + "grad_norm": 1.7715615914302942, + "learning_rate": 0.0005864988449845569, + "loss": 3.0441, + "step": 1006 + }, + { + "epoch": 0.46, + "grad_norm": 1.5916123171184997, + "learning_rate": 0.0005857669085750578, + "loss": 3.0716, + "step": 1007 + }, + { + "epoch": 0.46, + "grad_norm": 1.7611158850293018, + "learning_rate": 0.0005850347827527013, + "loss": 3.1794, + "step": 1008 + }, + { + "epoch": 0.46, + "grad_norm": 1.405938268929194, + "learning_rate": 0.0005843024691343584, + "loss": 2.9934, + "step": 1009 + }, + { + "epoch": 0.46, + "grad_norm": 1.7486616137078383, + "learning_rate": 0.000583569969337315, + "loss": 3.0912, + "step": 1010 + }, + { + "epoch": 0.46, + "grad_norm": 1.5709743824771876, + "learning_rate": 0.0005828372849792686, + "loss": 3.0674, + "step": 1011 + }, + { + "epoch": 0.46, + "grad_norm": 1.6795218259166356, + "learning_rate": 0.0005821044176783234, + "loss": 3.0798, + "step": 1012 + }, + { + "epoch": 0.46, + "grad_norm": 1.9889296995871746, + "learning_rate": 0.0005813713690529886, + "loss": 3.0986, + "step": 1013 + }, + { + "epoch": 0.47, + "grad_norm": 1.3953708361209776, + "learning_rate": 0.0005806381407221729, + "loss": 3.0715, + "step": 1014 + }, + { + "epoch": 0.47, + "grad_norm": 1.5104829748772381, + "learning_rate": 0.0005799047343051826, + "loss": 2.9986, + "step": 1015 + }, + { + "epoch": 0.47, + "grad_norm": 1.8339895736964142, + "learning_rate": 0.0005791711514217171, + "loss": 3.1442, + "step": 1016 + }, + { + "epoch": 0.47, + "grad_norm": 1.4666978569221596, + "learning_rate": 0.0005784373936918654, + "loss": 3.1672, + "step": 1017 + }, + { + "epoch": 0.47, + "grad_norm": 1.664495164642137, + "learning_rate": 0.0005777034627361025, + "loss": 3.1268, + "step": 1018 + }, + { + "epoch": 0.47, + "grad_norm": 1.6002886053224428, + "learning_rate": 0.0005769693601752864, + "loss": 3.0416, + "step": 1019 + }, + { + "epoch": 0.47, + "grad_norm": 1.821279284455168, + "learning_rate": 0.0005762350876306537, + "loss": 3.1373, + "step": 1020 + }, + { + "epoch": 0.47, + "grad_norm": 1.474291038435249, + "learning_rate": 0.0005755006467238168, + "loss": 3.1159, + "step": 1021 + }, + { + "epoch": 0.47, + "grad_norm": 1.5445152792323649, + "learning_rate": 0.0005747660390767593, + "loss": 3.0323, + "step": 1022 + }, + { + "epoch": 0.47, + "grad_norm": 1.729812929414656, + "learning_rate": 0.0005740312663118338, + "loss": 2.9677, + "step": 1023 + }, + { + "epoch": 0.47, + "grad_norm": 1.6811567249783201, + "learning_rate": 0.0005732963300517568, + "loss": 3.0533, + "step": 1024 + }, + { + "epoch": 0.47, + "grad_norm": 2.0238696858058285, + "learning_rate": 0.0005725612319196064, + "loss": 3.1486, + "step": 1025 + }, + { + "epoch": 0.47, + "grad_norm": 1.521413342002447, + "learning_rate": 0.000571825973538818, + "loss": 3.0169, + "step": 1026 + }, + { + "epoch": 0.47, + "grad_norm": 1.4330102908350244, + "learning_rate": 0.0005710905565331811, + "loss": 3.0009, + "step": 1027 + }, + { + "epoch": 0.47, + "grad_norm": 1.530448086678303, + "learning_rate": 0.0005703549825268353, + "loss": 3.1431, + "step": 1028 + }, + { + "epoch": 0.47, + "grad_norm": 1.5980601810937363, + "learning_rate": 0.0005696192531442667, + "loss": 3.0197, + "step": 1029 + }, + { + "epoch": 0.47, + "grad_norm": 1.50379172505528, + "learning_rate": 0.000568883370010305, + "loss": 3.1797, + "step": 1030 + }, + { + "epoch": 0.47, + "grad_norm": 1.9114627908293103, + "learning_rate": 0.0005681473347501192, + "loss": 3.3599, + "step": 1031 + }, + { + "epoch": 0.47, + "grad_norm": 1.9884145443802999, + "learning_rate": 0.0005674111489892144, + "loss": 3.0187, + "step": 1032 + }, + { + "epoch": 0.47, + "grad_norm": 1.6010203342765796, + "learning_rate": 0.0005666748143534282, + "loss": 3.1435, + "step": 1033 + }, + { + "epoch": 0.47, + "grad_norm": 2.049366942440454, + "learning_rate": 0.0005659383324689266, + "loss": 3.1004, + "step": 1034 + }, + { + "epoch": 0.47, + "grad_norm": 1.4928429102724736, + "learning_rate": 0.0005652017049622007, + "loss": 3.0358, + "step": 1035 + }, + { + "epoch": 0.48, + "grad_norm": 1.7799921475814307, + "learning_rate": 0.0005644649334600641, + "loss": 3.0611, + "step": 1036 + }, + { + "epoch": 0.48, + "grad_norm": 1.5031946411478314, + "learning_rate": 0.0005637280195896474, + "loss": 3.12, + "step": 1037 + }, + { + "epoch": 0.48, + "grad_norm": 1.529574308629453, + "learning_rate": 0.0005629909649783961, + "loss": 3.115, + "step": 1038 + }, + { + "epoch": 0.48, + "grad_norm": 1.515826992281273, + "learning_rate": 0.0005622537712540664, + "loss": 3.2531, + "step": 1039 + }, + { + "epoch": 0.48, + "grad_norm": 1.510270771059459, + "learning_rate": 0.0005615164400447218, + "loss": 3.0194, + "step": 1040 + }, + { + "epoch": 0.48, + "grad_norm": 1.676269456356913, + "learning_rate": 0.0005607789729787294, + "loss": 3.1531, + "step": 1041 + }, + { + "epoch": 0.48, + "grad_norm": 1.6816849615405338, + "learning_rate": 0.0005600413716847564, + "loss": 3.0335, + "step": 1042 + }, + { + "epoch": 0.48, + "grad_norm": 1.797188990035947, + "learning_rate": 0.000559303637791766, + "loss": 3.0253, + "step": 1043 + }, + { + "epoch": 0.48, + "grad_norm": 1.7598841198837727, + "learning_rate": 0.0005585657729290151, + "loss": 2.9959, + "step": 1044 + }, + { + "epoch": 0.48, + "grad_norm": 1.7333653178358168, + "learning_rate": 0.000557827778726049, + "loss": 3.0496, + "step": 1045 + }, + { + "epoch": 0.48, + "grad_norm": 1.733489768146429, + "learning_rate": 0.0005570896568126993, + "loss": 3.0292, + "step": 1046 + }, + { + "epoch": 0.48, + "grad_norm": 1.6275088648233207, + "learning_rate": 0.0005563514088190788, + "loss": 3.042, + "step": 1047 + }, + { + "epoch": 0.48, + "grad_norm": 1.4379147392448015, + "learning_rate": 0.0005556130363755798, + "loss": 2.9933, + "step": 1048 + }, + { + "epoch": 0.48, + "grad_norm": 1.8808732465036653, + "learning_rate": 0.0005548745411128688, + "loss": 3.0133, + "step": 1049 + }, + { + "epoch": 0.48, + "grad_norm": 1.6036772164116793, + "learning_rate": 0.0005541359246618835, + "loss": 2.956, + "step": 1050 + }, + { + "epoch": 0.48, + "grad_norm": 2.1113643687930175, + "learning_rate": 0.0005533971886538293, + "loss": 3.0923, + "step": 1051 + }, + { + "epoch": 0.48, + "grad_norm": 1.610831377410517, + "learning_rate": 0.000552658334720176, + "loss": 3.1338, + "step": 1052 + }, + { + "epoch": 0.48, + "grad_norm": 2.1562387797596796, + "learning_rate": 0.0005519193644926535, + "loss": 2.9616, + "step": 1053 + }, + { + "epoch": 0.48, + "grad_norm": 1.6397687234314386, + "learning_rate": 0.0005511802796032485, + "loss": 3.0314, + "step": 1054 + }, + { + "epoch": 0.48, + "grad_norm": 1.6581431381678504, + "learning_rate": 0.0005504410816842009, + "loss": 3.0468, + "step": 1055 + }, + { + "epoch": 0.48, + "grad_norm": 1.4484465975015097, + "learning_rate": 0.0005497017723680009, + "loss": 2.9329, + "step": 1056 + }, + { + "epoch": 0.48, + "grad_norm": 1.5771768944761748, + "learning_rate": 0.0005489623532873836, + "loss": 2.9937, + "step": 1057 + }, + { + "epoch": 0.49, + "grad_norm": 1.7644562357353, + "learning_rate": 0.0005482228260753273, + "loss": 3.0765, + "step": 1058 + }, + { + "epoch": 0.49, + "grad_norm": 2.022210352700627, + "learning_rate": 0.0005474831923650488, + "loss": 3.0367, + "step": 1059 + }, + { + "epoch": 0.49, + "grad_norm": 1.7576307744216477, + "learning_rate": 0.00054674345379, + "loss": 2.9924, + "step": 1060 + }, + { + "epoch": 0.49, + "grad_norm": 1.7882630720184136, + "learning_rate": 0.000546003611983865, + "loss": 3.0832, + "step": 1061 + }, + { + "epoch": 0.49, + "grad_norm": 1.6513630089965947, + "learning_rate": 0.0005452636685805552, + "loss": 3.0131, + "step": 1062 + }, + { + "epoch": 0.49, + "grad_norm": 1.890105403333004, + "learning_rate": 0.0005445236252142066, + "loss": 3.2069, + "step": 1063 + }, + { + "epoch": 0.49, + "grad_norm": 1.5853479043805085, + "learning_rate": 0.000543783483519176, + "loss": 3.1166, + "step": 1064 + }, + { + "epoch": 0.49, + "grad_norm": 1.9110528729610718, + "learning_rate": 0.0005430432451300374, + "loss": 3.0564, + "step": 1065 + }, + { + "epoch": 0.49, + "grad_norm": 1.62719239810702, + "learning_rate": 0.0005423029116815781, + "loss": 2.988, + "step": 1066 + }, + { + "epoch": 0.49, + "grad_norm": 1.8775236877784311, + "learning_rate": 0.0005415624848087959, + "loss": 3.0686, + "step": 1067 + }, + { + "epoch": 0.49, + "grad_norm": 1.7305959933411597, + "learning_rate": 0.000540821966146894, + "loss": 3.2194, + "step": 1068 + }, + { + "epoch": 0.49, + "grad_norm": 1.5758028813485496, + "learning_rate": 0.0005400813573312793, + "loss": 3.0141, + "step": 1069 + }, + { + "epoch": 0.49, + "grad_norm": 2.017917266136407, + "learning_rate": 0.0005393406599975572, + "loss": 3.0566, + "step": 1070 + }, + { + "epoch": 0.49, + "grad_norm": 1.6982718931964749, + "learning_rate": 0.0005385998757815287, + "loss": 3.0699, + "step": 1071 + }, + { + "epoch": 0.49, + "grad_norm": 1.704767650658607, + "learning_rate": 0.0005378590063191867, + "loss": 3.0128, + "step": 1072 + }, + { + "epoch": 0.49, + "grad_norm": 1.567632191306601, + "learning_rate": 0.0005371180532467124, + "loss": 3.0679, + "step": 1073 + }, + { + "epoch": 0.49, + "grad_norm": 1.5536589405314187, + "learning_rate": 0.000536377018200472, + "loss": 3.0486, + "step": 1074 + }, + { + "epoch": 0.49, + "grad_norm": 1.9989108926344465, + "learning_rate": 0.0005356359028170118, + "loss": 3.1187, + "step": 1075 + }, + { + "epoch": 0.49, + "grad_norm": 1.9549660125035337, + "learning_rate": 0.0005348947087330564, + "loss": 3.0829, + "step": 1076 + }, + { + "epoch": 0.49, + "grad_norm": 1.5974730691530121, + "learning_rate": 0.0005341534375855037, + "loss": 3.1013, + "step": 1077 + }, + { + "epoch": 0.49, + "grad_norm": 1.7143110237539536, + "learning_rate": 0.0005334120910114222, + "loss": 3.1159, + "step": 1078 + }, + { + "epoch": 0.49, + "grad_norm": 1.6023727649393982, + "learning_rate": 0.0005326706706480467, + "loss": 3.049, + "step": 1079 + }, + { + "epoch": 0.5, + "grad_norm": 1.543338713225148, + "learning_rate": 0.0005319291781327749, + "loss": 3.0376, + "step": 1080 + }, + { + "epoch": 0.5, + "grad_norm": 1.5682137491435042, + "learning_rate": 0.0005311876151031642, + "loss": 3.1099, + "step": 1081 + }, + { + "epoch": 0.5, + "grad_norm": 1.6347900552912664, + "learning_rate": 0.0005304459831969274, + "loss": 3.0345, + "step": 1082 + }, + { + "epoch": 0.5, + "grad_norm": 1.844568032830322, + "learning_rate": 0.0005297042840519294, + "loss": 2.9695, + "step": 1083 + }, + { + "epoch": 0.5, + "grad_norm": 1.8684926359284066, + "learning_rate": 0.0005289625193061838, + "loss": 3.0113, + "step": 1084 + }, + { + "epoch": 0.5, + "grad_norm": 1.541879978138572, + "learning_rate": 0.0005282206905978489, + "loss": 2.9901, + "step": 1085 + }, + { + "epoch": 0.5, + "grad_norm": 1.483795338242328, + "learning_rate": 0.0005274787995652246, + "loss": 3.0657, + "step": 1086 + }, + { + "epoch": 0.5, + "grad_norm": 1.5485115756630823, + "learning_rate": 0.000526736847846748, + "loss": 2.9852, + "step": 1087 + }, + { + "epoch": 0.5, + "grad_norm": 1.4940518322972816, + "learning_rate": 0.0005259948370809901, + "loss": 3.124, + "step": 1088 + }, + { + "epoch": 0.5, + "grad_norm": 1.7665054252460908, + "learning_rate": 0.0005252527689066533, + "loss": 3.1042, + "step": 1089 + }, + { + "epoch": 0.5, + "grad_norm": 1.687434024230023, + "learning_rate": 0.0005245106449625654, + "loss": 3.0004, + "step": 1090 + }, + { + "epoch": 0.5, + "grad_norm": 1.7945626846387766, + "learning_rate": 0.0005237684668876785, + "loss": 3.0434, + "step": 1091 + }, + { + "epoch": 0.5, + "grad_norm": 1.7311279901005807, + "learning_rate": 0.0005230262363210637, + "loss": 3.1468, + "step": 1092 + }, + { + "epoch": 0.5, + "grad_norm": 1.5564805550527365, + "learning_rate": 0.0005222839549019079, + "loss": 3.1809, + "step": 1093 + }, + { + "epoch": 0.5, + "grad_norm": 1.5679756674435326, + "learning_rate": 0.0005215416242695108, + "loss": 2.9572, + "step": 1094 + }, + { + "epoch": 0.5, + "grad_norm": 1.6416091554322378, + "learning_rate": 0.0005207992460632804, + "loss": 3.0508, + "step": 1095 + }, + { + "epoch": 0.5, + "grad_norm": 1.7264235216587265, + "learning_rate": 0.0005200568219227299, + "loss": 2.8953, + "step": 1096 + }, + { + "epoch": 0.5, + "grad_norm": 1.8789977422277748, + "learning_rate": 0.000519314353487474, + "loss": 3.0946, + "step": 1097 + }, + { + "epoch": 0.5, + "grad_norm": 1.9371897678058017, + "learning_rate": 0.0005185718423972251, + "loss": 3.0032, + "step": 1098 + }, + { + "epoch": 0.5, + "grad_norm": 1.4420060941429707, + "learning_rate": 0.0005178292902917898, + "loss": 3.0823, + "step": 1099 + }, + { + "epoch": 0.5, + "grad_norm": 2.045578178848679, + "learning_rate": 0.0005170866988110656, + "loss": 3.0502, + "step": 1100 + }, + { + "epoch": 0.5, + "grad_norm": 2.029378989444008, + "learning_rate": 0.0005163440695950362, + "loss": 2.9769, + "step": 1101 + }, + { + "epoch": 0.51, + "grad_norm": 2.2571799944673256, + "learning_rate": 0.0005156014042837695, + "loss": 3.0894, + "step": 1102 + }, + { + "epoch": 0.51, + "grad_norm": 1.6771210450999576, + "learning_rate": 0.0005148587045174128, + "loss": 3.1038, + "step": 1103 + }, + { + "epoch": 0.51, + "grad_norm": 1.6715665442398364, + "learning_rate": 0.0005141159719361891, + "loss": 3.0437, + "step": 1104 + }, + { + "epoch": 0.51, + "grad_norm": 1.491821388959583, + "learning_rate": 0.0005133732081803945, + "loss": 3.017, + "step": 1105 + }, + { + "epoch": 0.51, + "grad_norm": 1.4868987802801903, + "learning_rate": 0.0005126304148903936, + "loss": 2.8768, + "step": 1106 + }, + { + "epoch": 0.51, + "grad_norm": 1.7495082719565467, + "learning_rate": 0.0005118875937066161, + "loss": 3.0833, + "step": 1107 + }, + { + "epoch": 0.51, + "grad_norm": 1.6371233260748879, + "learning_rate": 0.0005111447462695537, + "loss": 3.0977, + "step": 1108 + }, + { + "epoch": 0.51, + "grad_norm": 1.645672539324122, + "learning_rate": 0.0005104018742197557, + "loss": 3.0169, + "step": 1109 + }, + { + "epoch": 0.51, + "grad_norm": 1.3479628803053947, + "learning_rate": 0.0005096589791978261, + "loss": 2.9704, + "step": 1110 + }, + { + "epoch": 0.51, + "grad_norm": 1.6315804151701494, + "learning_rate": 0.0005089160628444192, + "loss": 3.0905, + "step": 1111 + }, + { + "epoch": 0.51, + "grad_norm": 1.405280201111046, + "learning_rate": 0.0005081731268002371, + "loss": 3.0804, + "step": 1112 + }, + { + "epoch": 0.51, + "grad_norm": 1.5395488316691566, + "learning_rate": 0.0005074301727060243, + "loss": 2.9697, + "step": 1113 + }, + { + "epoch": 0.51, + "grad_norm": 1.6716335219734644, + "learning_rate": 0.0005066872022025663, + "loss": 2.9523, + "step": 1114 + }, + { + "epoch": 0.51, + "grad_norm": 1.4515349752737148, + "learning_rate": 0.0005059442169306844, + "loss": 3.1051, + "step": 1115 + }, + { + "epoch": 0.51, + "grad_norm": 1.531394074306441, + "learning_rate": 0.0005052012185312321, + "loss": 3.0116, + "step": 1116 + }, + { + "epoch": 0.51, + "grad_norm": 1.6372659490458108, + "learning_rate": 0.0005044582086450925, + "loss": 3.0477, + "step": 1117 + }, + { + "epoch": 0.51, + "grad_norm": 1.5878159758671422, + "learning_rate": 0.0005037151889131737, + "loss": 3.0607, + "step": 1118 + }, + { + "epoch": 0.51, + "grad_norm": 1.5835344868203487, + "learning_rate": 0.0005029721609764059, + "loss": 2.9643, + "step": 1119 + }, + { + "epoch": 0.51, + "grad_norm": 1.6283472496692226, + "learning_rate": 0.000502229126475737, + "loss": 3.0833, + "step": 1120 + }, + { + "epoch": 0.51, + "grad_norm": 1.8811066054378953, + "learning_rate": 0.0005014860870521293, + "loss": 2.9336, + "step": 1121 + }, + { + "epoch": 0.51, + "grad_norm": 1.5582938358216303, + "learning_rate": 0.0005007430443465569, + "loss": 3.0907, + "step": 1122 + }, + { + "epoch": 0.52, + "grad_norm": 1.5369336091305894, + "learning_rate": 0.0005, + "loss": 3.0583, + "step": 1123 + }, + { + "epoch": 0.52, + "grad_norm": 1.7842334085362441, + "learning_rate": 0.0004992569556534432, + "loss": 3.1529, + "step": 1124 + }, + { + "epoch": 0.52, + "grad_norm": 1.7680287250574065, + "learning_rate": 0.0004985139129478707, + "loss": 3.0098, + "step": 1125 + }, + { + "epoch": 0.52, + "grad_norm": 2.4547851974362698, + "learning_rate": 0.0004977708735242633, + "loss": 3.0157, + "step": 1126 + }, + { + "epoch": 0.52, + "grad_norm": 1.4755813135176297, + "learning_rate": 0.0004970278390235942, + "loss": 3.0078, + "step": 1127 + }, + { + "epoch": 0.52, + "grad_norm": 1.735181138834567, + "learning_rate": 0.0004962848110868262, + "loss": 2.9656, + "step": 1128 + }, + { + "epoch": 0.52, + "grad_norm": 2.488642179332836, + "learning_rate": 0.0004955417913549074, + "loss": 3.0486, + "step": 1129 + }, + { + "epoch": 0.52, + "grad_norm": 2.120588433987515, + "learning_rate": 0.0004947987814687679, + "loss": 3.1748, + "step": 1130 + }, + { + "epoch": 0.52, + "grad_norm": 2.1818728106192715, + "learning_rate": 0.0004940557830693157, + "loss": 2.9357, + "step": 1131 + }, + { + "epoch": 0.52, + "grad_norm": 1.4440983457026166, + "learning_rate": 0.0004933127977974338, + "loss": 2.953, + "step": 1132 + }, + { + "epoch": 0.52, + "grad_norm": 1.919224367829811, + "learning_rate": 0.0004925698272939757, + "loss": 2.9689, + "step": 1133 + }, + { + "epoch": 0.52, + "grad_norm": 2.4096963073328626, + "learning_rate": 0.0004918268731997632, + "loss": 3.03, + "step": 1134 + }, + { + "epoch": 0.52, + "grad_norm": 1.6637093396049603, + "learning_rate": 0.0004910839371555809, + "loss": 2.9366, + "step": 1135 + }, + { + "epoch": 0.52, + "grad_norm": 2.317346093741528, + "learning_rate": 0.0004903410208021739, + "loss": 2.9321, + "step": 1136 + }, + { + "epoch": 0.52, + "grad_norm": 1.6607256453502948, + "learning_rate": 0.0004895981257802443, + "loss": 3.0095, + "step": 1137 + }, + { + "epoch": 0.52, + "grad_norm": 1.6544388130520578, + "learning_rate": 0.0004888552537304463, + "loss": 2.9836, + "step": 1138 + }, + { + "epoch": 0.52, + "grad_norm": 2.6493646401160458, + "learning_rate": 0.00048811240629338394, + "loss": 2.9619, + "step": 1139 + }, + { + "epoch": 0.52, + "grad_norm": 1.5189343066080112, + "learning_rate": 0.00048736958510960663, + "loss": 2.9618, + "step": 1140 + }, + { + "epoch": 0.52, + "grad_norm": 1.7580444077588147, + "learning_rate": 0.00048662679181960564, + "loss": 3.0465, + "step": 1141 + }, + { + "epoch": 0.52, + "grad_norm": 1.8437702373570144, + "learning_rate": 0.00048588402806381094, + "loss": 3.0599, + "step": 1142 + }, + { + "epoch": 0.52, + "grad_norm": 1.6284216550066812, + "learning_rate": 0.0004851412954825874, + "loss": 3.01, + "step": 1143 + }, + { + "epoch": 0.52, + "grad_norm": 2.198600527171034, + "learning_rate": 0.00048439859571623034, + "loss": 3.0224, + "step": 1144 + }, + { + "epoch": 0.53, + "grad_norm": 1.464107229084171, + "learning_rate": 0.00048365593040496373, + "loss": 3.0229, + "step": 1145 + }, + { + "epoch": 0.53, + "grad_norm": 1.621463143320934, + "learning_rate": 0.00048291330118893443, + "loss": 2.9357, + "step": 1146 + }, + { + "epoch": 0.53, + "grad_norm": 1.606816732582293, + "learning_rate": 0.0004821707097082102, + "loss": 2.9572, + "step": 1147 + }, + { + "epoch": 0.53, + "grad_norm": 1.7663878269138789, + "learning_rate": 0.0004814281576027749, + "loss": 3.1086, + "step": 1148 + }, + { + "epoch": 0.53, + "grad_norm": 1.355913234706931, + "learning_rate": 0.000480685646512526, + "loss": 3.0016, + "step": 1149 + }, + { + "epoch": 0.53, + "grad_norm": 1.5211172275739253, + "learning_rate": 0.00047994317807727025, + "loss": 3.0977, + "step": 1150 + }, + { + "epoch": 0.53, + "grad_norm": 1.6495566173133192, + "learning_rate": 0.00047920075393671974, + "loss": 2.9887, + "step": 1151 + }, + { + "epoch": 0.53, + "grad_norm": 1.6860997683939116, + "learning_rate": 0.0004784583757304893, + "loss": 3.0615, + "step": 1152 + }, + { + "epoch": 0.53, + "grad_norm": 1.556717252061209, + "learning_rate": 0.00047771604509809214, + "loss": 2.9943, + "step": 1153 + }, + { + "epoch": 0.53, + "grad_norm": 1.7491867177374498, + "learning_rate": 0.0004769737636789364, + "loss": 2.9604, + "step": 1154 + }, + { + "epoch": 0.53, + "grad_norm": 1.7797004566252992, + "learning_rate": 0.00047623153311232157, + "loss": 2.9024, + "step": 1155 + }, + { + "epoch": 0.53, + "grad_norm": 1.3869200426238193, + "learning_rate": 0.0004754893550374346, + "loss": 2.9039, + "step": 1156 + }, + { + "epoch": 0.53, + "grad_norm": 1.907173321142219, + "learning_rate": 0.00047474723109334685, + "loss": 2.992, + "step": 1157 + }, + { + "epoch": 0.53, + "grad_norm": 1.514488641187699, + "learning_rate": 0.00047400516291900993, + "loss": 3.021, + "step": 1158 + }, + { + "epoch": 0.53, + "grad_norm": 1.6257818855220496, + "learning_rate": 0.0004732631521532522, + "loss": 3.0884, + "step": 1159 + }, + { + "epoch": 0.53, + "grad_norm": 1.7855815609634822, + "learning_rate": 0.0004725212004347755, + "loss": 2.9267, + "step": 1160 + }, + { + "epoch": 0.53, + "grad_norm": 1.458193308764067, + "learning_rate": 0.00047177930940215095, + "loss": 2.9718, + "step": 1161 + }, + { + "epoch": 0.53, + "grad_norm": 1.5479570889579872, + "learning_rate": 0.00047103748069381624, + "loss": 2.9869, + "step": 1162 + }, + { + "epoch": 0.53, + "grad_norm": 1.5198250072628372, + "learning_rate": 0.0004702957159480707, + "loss": 3.0798, + "step": 1163 + }, + { + "epoch": 0.53, + "grad_norm": 1.4075677725665527, + "learning_rate": 0.00046955401680307267, + "loss": 3.1509, + "step": 1164 + }, + { + "epoch": 0.53, + "grad_norm": 1.6728164256044225, + "learning_rate": 0.0004688123848968359, + "loss": 3.0287, + "step": 1165 + }, + { + "epoch": 0.53, + "grad_norm": 1.410832730190197, + "learning_rate": 0.00046807082186722516, + "loss": 3.0103, + "step": 1166 + }, + { + "epoch": 0.54, + "grad_norm": 1.496727823682135, + "learning_rate": 0.0004673293293519535, + "loss": 2.9473, + "step": 1167 + }, + { + "epoch": 0.54, + "grad_norm": 1.6362572836501736, + "learning_rate": 0.00046658790898857806, + "loss": 3.1274, + "step": 1168 + }, + { + "epoch": 0.54, + "grad_norm": 1.4180529041689665, + "learning_rate": 0.0004658465624144963, + "loss": 2.9134, + "step": 1169 + }, + { + "epoch": 0.54, + "grad_norm": 1.6614867073062518, + "learning_rate": 0.0004651052912669438, + "loss": 3.0455, + "step": 1170 + }, + { + "epoch": 0.54, + "grad_norm": 1.4634470110764943, + "learning_rate": 0.0004643640971829883, + "loss": 2.884, + "step": 1171 + }, + { + "epoch": 0.54, + "grad_norm": 1.5404314616954158, + "learning_rate": 0.0004636229817995281, + "loss": 3.0164, + "step": 1172 + }, + { + "epoch": 0.54, + "grad_norm": 1.6047243607738835, + "learning_rate": 0.0004628819467532876, + "loss": 2.9016, + "step": 1173 + }, + { + "epoch": 0.54, + "grad_norm": 1.4775830589302195, + "learning_rate": 0.00046214099368081335, + "loss": 3.0596, + "step": 1174 + }, + { + "epoch": 0.54, + "grad_norm": 1.6278791099587122, + "learning_rate": 0.0004614001242184714, + "loss": 2.896, + "step": 1175 + }, + { + "epoch": 0.54, + "grad_norm": 2.036904714572199, + "learning_rate": 0.000460659340002443, + "loss": 3.0239, + "step": 1176 + }, + { + "epoch": 0.54, + "grad_norm": 1.5413537311127568, + "learning_rate": 0.00045991864266872073, + "loss": 2.9587, + "step": 1177 + }, + { + "epoch": 0.54, + "grad_norm": 2.0113468432088113, + "learning_rate": 0.00045917803385310595, + "loss": 3.0564, + "step": 1178 + }, + { + "epoch": 0.54, + "grad_norm": 2.02012514313468, + "learning_rate": 0.00045843751519120417, + "loss": 3.0323, + "step": 1179 + }, + { + "epoch": 0.54, + "grad_norm": 2.049386544043595, + "learning_rate": 0.00045769708831842193, + "loss": 3.0427, + "step": 1180 + }, + { + "epoch": 0.54, + "grad_norm": 2.1141906074267256, + "learning_rate": 0.00045695675486996266, + "loss": 3.0087, + "step": 1181 + }, + { + "epoch": 0.54, + "grad_norm": 1.5843015219149599, + "learning_rate": 0.00045621651648082405, + "loss": 2.8822, + "step": 1182 + }, + { + "epoch": 0.54, + "grad_norm": 2.1116606968272507, + "learning_rate": 0.00045547637478579356, + "loss": 2.8727, + "step": 1183 + }, + { + "epoch": 0.54, + "grad_norm": 1.5962946132849856, + "learning_rate": 0.0004547363314194449, + "loss": 3.0659, + "step": 1184 + }, + { + "epoch": 0.54, + "grad_norm": 1.5310349912980679, + "learning_rate": 0.000453996388016135, + "loss": 3.0868, + "step": 1185 + }, + { + "epoch": 0.54, + "grad_norm": 1.820218813878498, + "learning_rate": 0.0004532565462099999, + "loss": 2.9762, + "step": 1186 + }, + { + "epoch": 0.54, + "grad_norm": 1.6115825222831512, + "learning_rate": 0.0004525168076349513, + "loss": 3.0294, + "step": 1187 + }, + { + "epoch": 0.54, + "grad_norm": 1.728187198730813, + "learning_rate": 0.0004517771739246729, + "loss": 3.0554, + "step": 1188 + }, + { + "epoch": 0.55, + "grad_norm": 2.1984739975284517, + "learning_rate": 0.0004510376467126165, + "loss": 2.9963, + "step": 1189 + }, + { + "epoch": 0.55, + "grad_norm": 1.4987481717699322, + "learning_rate": 0.0004502982276319992, + "loss": 2.9112, + "step": 1190 + }, + { + "epoch": 0.55, + "grad_norm": 1.6088313062522037, + "learning_rate": 0.0004495589183157991, + "loss": 2.916, + "step": 1191 + }, + { + "epoch": 0.55, + "grad_norm": 1.7757728360588503, + "learning_rate": 0.0004488197203967517, + "loss": 2.9988, + "step": 1192 + }, + { + "epoch": 0.55, + "grad_norm": 1.5729560485248986, + "learning_rate": 0.0004480806355073467, + "loss": 3.0106, + "step": 1193 + }, + { + "epoch": 0.55, + "grad_norm": 1.5887834924525823, + "learning_rate": 0.000447341665279824, + "loss": 2.9749, + "step": 1194 + }, + { + "epoch": 0.55, + "grad_norm": 1.5483785908590972, + "learning_rate": 0.0004466028113461708, + "loss": 2.9645, + "step": 1195 + }, + { + "epoch": 0.55, + "grad_norm": 1.7983589689991573, + "learning_rate": 0.0004458640753381167, + "loss": 3.0036, + "step": 1196 + }, + { + "epoch": 0.55, + "grad_norm": 1.559138476081008, + "learning_rate": 0.0004451254588871313, + "loss": 3.0643, + "step": 1197 + }, + { + "epoch": 0.55, + "grad_norm": 1.7490827549498031, + "learning_rate": 0.0004443869636244203, + "loss": 2.9993, + "step": 1198 + }, + { + "epoch": 0.55, + "grad_norm": 1.7360113178112446, + "learning_rate": 0.0004436485911809212, + "loss": 2.9288, + "step": 1199 + }, + { + "epoch": 0.55, + "grad_norm": 1.5011914495677197, + "learning_rate": 0.00044291034318730087, + "loss": 2.9985, + "step": 1200 + }, + { + "epoch": 0.55, + "grad_norm": 1.5383022534862532, + "learning_rate": 0.0004421722212739511, + "loss": 3.0061, + "step": 1201 + }, + { + "epoch": 0.55, + "grad_norm": 1.636927057324379, + "learning_rate": 0.0004414342270709848, + "loss": 2.9521, + "step": 1202 + }, + { + "epoch": 0.55, + "grad_norm": 1.6182247495417805, + "learning_rate": 0.00044069636220823397, + "loss": 2.9825, + "step": 1203 + }, + { + "epoch": 0.55, + "grad_norm": 1.635510514586777, + "learning_rate": 0.0004399586283152437, + "loss": 3.0663, + "step": 1204 + }, + { + "epoch": 0.55, + "grad_norm": 1.5849604088910123, + "learning_rate": 0.0004392210270212706, + "loss": 3.0214, + "step": 1205 + }, + { + "epoch": 0.55, + "grad_norm": 1.5443005375422927, + "learning_rate": 0.00043848355995527825, + "loss": 2.9564, + "step": 1206 + }, + { + "epoch": 0.55, + "grad_norm": 1.6150165149225972, + "learning_rate": 0.00043774622874593374, + "loss": 2.9766, + "step": 1207 + }, + { + "epoch": 0.55, + "grad_norm": 2.363017519543566, + "learning_rate": 0.000437009035021604, + "loss": 2.9776, + "step": 1208 + }, + { + "epoch": 0.55, + "grad_norm": 1.5139227258822547, + "learning_rate": 0.00043627198041035274, + "loss": 2.9989, + "step": 1209 + }, + { + "epoch": 0.55, + "grad_norm": 2.0382271199612543, + "learning_rate": 0.00043553506653993597, + "loss": 3.0294, + "step": 1210 + }, + { + "epoch": 0.56, + "grad_norm": 2.189013324857636, + "learning_rate": 0.0004347982950377992, + "loss": 2.9811, + "step": 1211 + }, + { + "epoch": 0.56, + "grad_norm": 1.621451121098076, + "learning_rate": 0.0004340616675310735, + "loss": 3.0056, + "step": 1212 + }, + { + "epoch": 0.56, + "grad_norm": 3.1564056415907262, + "learning_rate": 0.00043332518564657193, + "loss": 2.9133, + "step": 1213 + }, + { + "epoch": 0.56, + "grad_norm": 1.8635010156079654, + "learning_rate": 0.0004325888510107856, + "loss": 3.2171, + "step": 1214 + }, + { + "epoch": 0.56, + "grad_norm": 2.3751064993462023, + "learning_rate": 0.0004318526652498809, + "loss": 3.0365, + "step": 1215 + }, + { + "epoch": 0.56, + "grad_norm": 2.755445646159852, + "learning_rate": 0.00043111662998969523, + "loss": 3.1027, + "step": 1216 + }, + { + "epoch": 0.56, + "grad_norm": 1.5116546398054544, + "learning_rate": 0.0004303807468557335, + "loss": 3.1306, + "step": 1217 + }, + { + "epoch": 0.56, + "grad_norm": 2.214801181871165, + "learning_rate": 0.0004296450174731648, + "loss": 2.9493, + "step": 1218 + }, + { + "epoch": 0.56, + "grad_norm": 2.559843751673804, + "learning_rate": 0.0004289094434668188, + "loss": 2.9991, + "step": 1219 + }, + { + "epoch": 0.56, + "grad_norm": 1.5561033301023033, + "learning_rate": 0.00042817402646118185, + "loss": 3.0336, + "step": 1220 + }, + { + "epoch": 0.56, + "grad_norm": 2.466822071470893, + "learning_rate": 0.0004274387680803936, + "loss": 3.087, + "step": 1221 + }, + { + "epoch": 0.56, + "grad_norm": 2.0270625411318655, + "learning_rate": 0.00042670366994824327, + "loss": 2.9511, + "step": 1222 + }, + { + "epoch": 0.56, + "grad_norm": 1.571792833540858, + "learning_rate": 0.0004259687336881663, + "loss": 2.9273, + "step": 1223 + }, + { + "epoch": 0.56, + "grad_norm": 2.313258224714201, + "learning_rate": 0.0004252339609232408, + "loss": 3.0359, + "step": 1224 + }, + { + "epoch": 0.56, + "grad_norm": 1.4779593141762266, + "learning_rate": 0.0004244993532761834, + "loss": 3.0196, + "step": 1225 + }, + { + "epoch": 0.56, + "grad_norm": 1.7523876860304117, + "learning_rate": 0.00042376491236934634, + "loss": 3.0577, + "step": 1226 + }, + { + "epoch": 0.56, + "grad_norm": 1.7938024918042585, + "learning_rate": 0.0004230306398247136, + "loss": 2.84, + "step": 1227 + }, + { + "epoch": 0.56, + "grad_norm": 1.4368394776082039, + "learning_rate": 0.0004222965372638976, + "loss": 3.0424, + "step": 1228 + }, + { + "epoch": 0.56, + "grad_norm": 1.820752044135207, + "learning_rate": 0.0004215626063081348, + "loss": 3.1341, + "step": 1229 + }, + { + "epoch": 0.56, + "grad_norm": 1.513896054097871, + "learning_rate": 0.000420828848578283, + "loss": 2.9865, + "step": 1230 + }, + { + "epoch": 0.56, + "grad_norm": 1.523493576649948, + "learning_rate": 0.0004200952656948175, + "loss": 3.1191, + "step": 1231 + }, + { + "epoch": 0.57, + "grad_norm": 1.5873711238812442, + "learning_rate": 0.0004193618592778272, + "loss": 3.0334, + "step": 1232 + }, + { + "epoch": 0.57, + "grad_norm": 1.6419885433871533, + "learning_rate": 0.0004186286309470116, + "loss": 3.0018, + "step": 1233 + }, + { + "epoch": 0.57, + "grad_norm": 1.4165506383468591, + "learning_rate": 0.0004178955823216767, + "loss": 3.0308, + "step": 1234 + }, + { + "epoch": 0.57, + "grad_norm": 2.2531595646535587, + "learning_rate": 0.00041716271502073137, + "loss": 3.0897, + "step": 1235 + }, + { + "epoch": 0.57, + "grad_norm": 1.6598582383465785, + "learning_rate": 0.000416430030662685, + "loss": 2.8866, + "step": 1236 + }, + { + "epoch": 0.57, + "grad_norm": 1.572860841848263, + "learning_rate": 0.00041569753086564173, + "loss": 2.9265, + "step": 1237 + }, + { + "epoch": 0.57, + "grad_norm": 1.5549817506099015, + "learning_rate": 0.0004149652172472988, + "loss": 3.0615, + "step": 1238 + }, + { + "epoch": 0.57, + "grad_norm": 1.5429361334226948, + "learning_rate": 0.00041423309142494234, + "loss": 2.9804, + "step": 1239 + }, + { + "epoch": 0.57, + "grad_norm": 1.545358959110009, + "learning_rate": 0.0004135011550154433, + "loss": 2.9774, + "step": 1240 + }, + { + "epoch": 0.57, + "grad_norm": 1.5539719074870866, + "learning_rate": 0.0004127694096352546, + "loss": 3.0414, + "step": 1241 + }, + { + "epoch": 0.57, + "grad_norm": 1.517086142819113, + "learning_rate": 0.00041203785690040743, + "loss": 2.9761, + "step": 1242 + }, + { + "epoch": 0.57, + "grad_norm": 1.499789686284178, + "learning_rate": 0.00041130649842650694, + "loss": 2.98, + "step": 1243 + }, + { + "epoch": 0.57, + "grad_norm": 1.5788668006056907, + "learning_rate": 0.00041057533582873016, + "loss": 3.1147, + "step": 1244 + }, + { + "epoch": 0.57, + "grad_norm": 1.446205727755795, + "learning_rate": 0.0004098443707218208, + "loss": 3.0966, + "step": 1245 + }, + { + "epoch": 0.57, + "grad_norm": 1.5506954703185012, + "learning_rate": 0.00040911360472008673, + "loss": 3.1149, + "step": 1246 + }, + { + "epoch": 0.57, + "grad_norm": 1.638591431441541, + "learning_rate": 0.0004083830394373959, + "loss": 2.9825, + "step": 1247 + }, + { + "epoch": 0.57, + "grad_norm": 1.6011656506655851, + "learning_rate": 0.00040765267648717324, + "loss": 3.0413, + "step": 1248 + }, + { + "epoch": 0.57, + "grad_norm": 1.836421468278804, + "learning_rate": 0.00040692251748239677, + "loss": 2.9357, + "step": 1249 + }, + { + "epoch": 0.57, + "grad_norm": 1.655146834662203, + "learning_rate": 0.00040619256403559383, + "loss": 2.8718, + "step": 1250 + }, + { + "epoch": 0.57, + "grad_norm": 1.5875293341807613, + "learning_rate": 0.000405462817758838, + "loss": 2.9972, + "step": 1251 + }, + { + "epoch": 0.57, + "grad_norm": 1.5371012558925563, + "learning_rate": 0.0004047332802637457, + "loss": 2.9606, + "step": 1252 + }, + { + "epoch": 0.57, + "grad_norm": 1.5253654236132752, + "learning_rate": 0.00040400395316147157, + "loss": 2.9263, + "step": 1253 + }, + { + "epoch": 0.58, + "grad_norm": 1.883704005320784, + "learning_rate": 0.00040327483806270627, + "loss": 3.1026, + "step": 1254 + }, + { + "epoch": 0.58, + "grad_norm": 1.9306523246636023, + "learning_rate": 0.0004025459365776715, + "loss": 2.9742, + "step": 1255 + }, + { + "epoch": 0.58, + "grad_norm": 1.726222676254312, + "learning_rate": 0.00040181725031611794, + "loss": 3.0259, + "step": 1256 + }, + { + "epoch": 0.58, + "grad_norm": 1.6403526611017167, + "learning_rate": 0.0004010887808873206, + "loss": 2.8751, + "step": 1257 + }, + { + "epoch": 0.58, + "grad_norm": 2.4296113006521627, + "learning_rate": 0.00040036052990007553, + "loss": 2.9387, + "step": 1258 + }, + { + "epoch": 0.58, + "grad_norm": 1.5646632099181292, + "learning_rate": 0.0003996324989626967, + "loss": 2.9707, + "step": 1259 + }, + { + "epoch": 0.58, + "grad_norm": 1.7321542303206343, + "learning_rate": 0.00039890468968301166, + "loss": 2.9433, + "step": 1260 + }, + { + "epoch": 0.58, + "grad_norm": 1.4857292421694133, + "learning_rate": 0.0003981771036683591, + "loss": 3.0651, + "step": 1261 + }, + { + "epoch": 0.58, + "grad_norm": 1.5250657822149811, + "learning_rate": 0.00039744974252558385, + "loss": 2.9565, + "step": 1262 + }, + { + "epoch": 0.58, + "grad_norm": 1.625665568528434, + "learning_rate": 0.00039672260786103463, + "loss": 3.0203, + "step": 1263 + }, + { + "epoch": 0.58, + "grad_norm": 1.659861490683107, + "learning_rate": 0.00039599570128055994, + "loss": 3.0157, + "step": 1264 + }, + { + "epoch": 0.58, + "grad_norm": 1.5952716206792026, + "learning_rate": 0.0003952690243895044, + "loss": 2.9629, + "step": 1265 + }, + { + "epoch": 0.58, + "grad_norm": 1.6635549516681594, + "learning_rate": 0.0003945425787927054, + "loss": 3.083, + "step": 1266 + }, + { + "epoch": 0.58, + "grad_norm": 1.7673069802841315, + "learning_rate": 0.00039381636609448975, + "loss": 2.8468, + "step": 1267 + }, + { + "epoch": 0.58, + "grad_norm": 1.4932682765961776, + "learning_rate": 0.0003930903878986693, + "loss": 2.9866, + "step": 1268 + }, + { + "epoch": 0.58, + "grad_norm": 1.716526170608899, + "learning_rate": 0.00039236464580853916, + "loss": 3.0973, + "step": 1269 + }, + { + "epoch": 0.58, + "grad_norm": 1.5542101920678129, + "learning_rate": 0.0003916391414268718, + "loss": 2.9661, + "step": 1270 + }, + { + "epoch": 0.58, + "grad_norm": 1.5648791898551646, + "learning_rate": 0.00039091387635591536, + "loss": 3.0613, + "step": 1271 + }, + { + "epoch": 0.58, + "grad_norm": 1.5476762507365098, + "learning_rate": 0.0003901888521973894, + "loss": 2.8803, + "step": 1272 + }, + { + "epoch": 0.58, + "grad_norm": 1.661835549080649, + "learning_rate": 0.0003894640705524813, + "loss": 2.9866, + "step": 1273 + }, + { + "epoch": 0.58, + "grad_norm": 1.6593827070939977, + "learning_rate": 0.00038873953302184284, + "loss": 2.8358, + "step": 1274 + }, + { + "epoch": 0.58, + "grad_norm": 1.5871060145184717, + "learning_rate": 0.000388015241205587, + "loss": 2.9009, + "step": 1275 + }, + { + "epoch": 0.59, + "grad_norm": 1.490173165824435, + "learning_rate": 0.00038729119670328355, + "loss": 2.9798, + "step": 1276 + }, + { + "epoch": 0.59, + "grad_norm": 1.4912982935845387, + "learning_rate": 0.00038656740111395665, + "loss": 3.0522, + "step": 1277 + }, + { + "epoch": 0.59, + "grad_norm": 1.6584222508647164, + "learning_rate": 0.00038584385603608053, + "loss": 3.0475, + "step": 1278 + }, + { + "epoch": 0.59, + "grad_norm": 1.6516157378386456, + "learning_rate": 0.00038512056306757615, + "loss": 3.0463, + "step": 1279 + }, + { + "epoch": 0.59, + "grad_norm": 1.534083974152629, + "learning_rate": 0.0003843975238058075, + "loss": 2.9437, + "step": 1280 + }, + { + "epoch": 0.59, + "grad_norm": 1.6660749506182209, + "learning_rate": 0.00038367473984757863, + "loss": 2.9927, + "step": 1281 + }, + { + "epoch": 0.59, + "grad_norm": 1.4586533971323798, + "learning_rate": 0.0003829522127891296, + "loss": 3.0398, + "step": 1282 + }, + { + "epoch": 0.59, + "grad_norm": 1.8139189336204646, + "learning_rate": 0.0003822299442261329, + "loss": 2.85, + "step": 1283 + }, + { + "epoch": 0.59, + "grad_norm": 1.6586465726775685, + "learning_rate": 0.00038150793575369063, + "loss": 2.9749, + "step": 1284 + }, + { + "epoch": 0.59, + "grad_norm": 1.6334899861704983, + "learning_rate": 0.0003807861889663299, + "loss": 2.9696, + "step": 1285 + }, + { + "epoch": 0.59, + "grad_norm": 1.6631642798338515, + "learning_rate": 0.0003800647054580006, + "loss": 2.921, + "step": 1286 + }, + { + "epoch": 0.59, + "grad_norm": 1.8664620762604884, + "learning_rate": 0.00037934348682207064, + "loss": 3.0129, + "step": 1287 + }, + { + "epoch": 0.59, + "grad_norm": 1.7933699150769544, + "learning_rate": 0.00037862253465132306, + "loss": 2.9144, + "step": 1288 + }, + { + "epoch": 0.59, + "grad_norm": 2.287265736625869, + "learning_rate": 0.00037790185053795245, + "loss": 3.0468, + "step": 1289 + }, + { + "epoch": 0.59, + "grad_norm": 1.5363067452235106, + "learning_rate": 0.0003771814360735616, + "loss": 3.0109, + "step": 1290 + }, + { + "epoch": 0.59, + "grad_norm": 1.9754591170454587, + "learning_rate": 0.00037646129284915755, + "loss": 2.986, + "step": 1291 + }, + { + "epoch": 0.59, + "grad_norm": 2.0894795022649313, + "learning_rate": 0.00037574142245514825, + "loss": 2.9644, + "step": 1292 + }, + { + "epoch": 0.59, + "grad_norm": 1.5268157208560573, + "learning_rate": 0.0003750218264813393, + "loss": 3.0396, + "step": 1293 + }, + { + "epoch": 0.59, + "grad_norm": 1.7221522490356287, + "learning_rate": 0.0003743025065169305, + "loss": 2.9825, + "step": 1294 + }, + { + "epoch": 0.59, + "grad_norm": 1.8713708663882545, + "learning_rate": 0.0003735834641505116, + "loss": 3.0782, + "step": 1295 + }, + { + "epoch": 0.59, + "grad_norm": 1.5656292438381014, + "learning_rate": 0.00037286470097005954, + "loss": 2.8478, + "step": 1296 + }, + { + "epoch": 0.59, + "grad_norm": 2.036431621990092, + "learning_rate": 0.0003721462185629347, + "loss": 2.892, + "step": 1297 + }, + { + "epoch": 0.6, + "grad_norm": 2.1440045537351455, + "learning_rate": 0.00037142801851587707, + "loss": 3.0166, + "step": 1298 + }, + { + "epoch": 0.6, + "grad_norm": 1.6676813721419121, + "learning_rate": 0.00037071010241500357, + "loss": 2.9821, + "step": 1299 + }, + { + "epoch": 0.6, + "grad_norm": 2.2298626075202046, + "learning_rate": 0.00036999247184580383, + "loss": 2.9086, + "step": 1300 + }, + { + "epoch": 0.6, + "grad_norm": 1.5885499233956155, + "learning_rate": 0.00036927512839313636, + "loss": 2.9613, + "step": 1301 + }, + { + "epoch": 0.6, + "grad_norm": 1.8897665521195117, + "learning_rate": 0.0003685580736412268, + "loss": 2.9471, + "step": 1302 + }, + { + "epoch": 0.6, + "grad_norm": 1.7685415184926847, + "learning_rate": 0.000367841309173662, + "loss": 2.87, + "step": 1303 + }, + { + "epoch": 0.6, + "grad_norm": 1.440855612373281, + "learning_rate": 0.0003671248365733883, + "loss": 2.8656, + "step": 1304 + }, + { + "epoch": 0.6, + "grad_norm": 1.7070814556786251, + "learning_rate": 0.0003664086574227075, + "loss": 2.8701, + "step": 1305 + }, + { + "epoch": 0.6, + "grad_norm": 1.6594698215645276, + "learning_rate": 0.000365692773303273, + "loss": 2.9218, + "step": 1306 + }, + { + "epoch": 0.6, + "grad_norm": 1.456954608244558, + "learning_rate": 0.00036497718579608696, + "loss": 2.9079, + "step": 1307 + }, + { + "epoch": 0.6, + "grad_norm": 1.543641004888524, + "learning_rate": 0.0003642618964814964, + "loss": 2.9145, + "step": 1308 + }, + { + "epoch": 0.6, + "grad_norm": 1.6385807219146835, + "learning_rate": 0.00036354690693918946, + "loss": 3.0383, + "step": 1309 + }, + { + "epoch": 0.6, + "grad_norm": 1.363843341801638, + "learning_rate": 0.00036283221874819284, + "loss": 2.9691, + "step": 1310 + }, + { + "epoch": 0.6, + "grad_norm": 1.7778994375954826, + "learning_rate": 0.0003621178334868672, + "loss": 3.0771, + "step": 1311 + }, + { + "epoch": 0.6, + "grad_norm": 1.6116218858580673, + "learning_rate": 0.00036140375273290476, + "loss": 3.0035, + "step": 1312 + }, + { + "epoch": 0.6, + "grad_norm": 1.4842572952635982, + "learning_rate": 0.0003606899780633245, + "loss": 2.8582, + "step": 1313 + }, + { + "epoch": 0.6, + "grad_norm": 1.5426528925715866, + "learning_rate": 0.0003599765110544699, + "loss": 2.8221, + "step": 1314 + }, + { + "epoch": 0.6, + "grad_norm": 1.63532641531039, + "learning_rate": 0.0003592633532820052, + "loss": 2.8954, + "step": 1315 + }, + { + "epoch": 0.6, + "grad_norm": 1.5644021047339576, + "learning_rate": 0.0003585505063209109, + "loss": 3.04, + "step": 1316 + }, + { + "epoch": 0.6, + "grad_norm": 1.610797969390034, + "learning_rate": 0.00035783797174548194, + "loss": 2.9842, + "step": 1317 + }, + { + "epoch": 0.6, + "grad_norm": 1.5528087416672856, + "learning_rate": 0.00035712575112932277, + "loss": 2.8262, + "step": 1318 + }, + { + "epoch": 0.6, + "grad_norm": 1.9597800410614374, + "learning_rate": 0.000356413846045345, + "loss": 2.9859, + "step": 1319 + }, + { + "epoch": 0.61, + "grad_norm": 1.9222960672724123, + "learning_rate": 0.000355702258065763, + "loss": 2.9636, + "step": 1320 + }, + { + "epoch": 0.61, + "grad_norm": 1.8647036890088053, + "learning_rate": 0.0003549909887620909, + "loss": 2.9303, + "step": 1321 + }, + { + "epoch": 0.61, + "grad_norm": 1.7040987269256869, + "learning_rate": 0.00035428003970513914, + "loss": 2.9671, + "step": 1322 + }, + { + "epoch": 0.61, + "grad_norm": 1.4619722341828134, + "learning_rate": 0.00035356941246501085, + "loss": 2.9843, + "step": 1323 + }, + { + "epoch": 0.61, + "grad_norm": 1.9539383623194002, + "learning_rate": 0.0003528591086110984, + "loss": 2.982, + "step": 1324 + }, + { + "epoch": 0.61, + "grad_norm": 1.528471682237156, + "learning_rate": 0.00035214912971208, + "loss": 2.9192, + "step": 1325 + }, + { + "epoch": 0.61, + "grad_norm": 1.7156291941383408, + "learning_rate": 0.0003514394773359163, + "loss": 2.7977, + "step": 1326 + }, + { + "epoch": 0.61, + "grad_norm": 1.5332308243919623, + "learning_rate": 0.0003507301530498469, + "loss": 2.9665, + "step": 1327 + }, + { + "epoch": 0.61, + "grad_norm": 1.540612198436645, + "learning_rate": 0.00035002115842038646, + "loss": 2.9738, + "step": 1328 + }, + { + "epoch": 0.61, + "grad_norm": 1.4659289146055459, + "learning_rate": 0.00034931249501332195, + "loss": 2.9281, + "step": 1329 + }, + { + "epoch": 0.61, + "grad_norm": 1.6850936261894143, + "learning_rate": 0.00034860416439370885, + "loss": 3.0519, + "step": 1330 + }, + { + "epoch": 0.61, + "grad_norm": 1.8797337661701188, + "learning_rate": 0.0003478961681258674, + "loss": 3.0646, + "step": 1331 + }, + { + "epoch": 0.61, + "grad_norm": 1.4648717669206888, + "learning_rate": 0.0003471885077733796, + "loss": 2.925, + "step": 1332 + }, + { + "epoch": 0.61, + "grad_norm": 1.6354797709221596, + "learning_rate": 0.0003464811848990859, + "loss": 3.0124, + "step": 1333 + }, + { + "epoch": 0.61, + "grad_norm": 1.5551901779814556, + "learning_rate": 0.00034577420106508063, + "loss": 3.0355, + "step": 1334 + }, + { + "epoch": 0.61, + "grad_norm": 1.5133625026038877, + "learning_rate": 0.0003450675578327105, + "loss": 2.9584, + "step": 1335 + }, + { + "epoch": 0.61, + "grad_norm": 1.6455830168416097, + "learning_rate": 0.000344361256762569, + "loss": 2.9426, + "step": 1336 + }, + { + "epoch": 0.61, + "grad_norm": 1.5014164409602608, + "learning_rate": 0.00034365529941449456, + "loss": 2.8835, + "step": 1337 + }, + { + "epoch": 0.61, + "grad_norm": 1.6352725536463528, + "learning_rate": 0.0003429496873475664, + "loss": 2.9254, + "step": 1338 + }, + { + "epoch": 0.61, + "grad_norm": 1.5131511549339582, + "learning_rate": 0.0003422444221201009, + "loss": 2.8863, + "step": 1339 + }, + { + "epoch": 0.61, + "grad_norm": 1.4432721743941979, + "learning_rate": 0.0003415395052896487, + "loss": 2.948, + "step": 1340 + }, + { + "epoch": 0.62, + "grad_norm": 1.5537354789342548, + "learning_rate": 0.0003408349384129912, + "loss": 3.0789, + "step": 1341 + }, + { + "epoch": 0.62, + "grad_norm": 1.6114474091637936, + "learning_rate": 0.00034013072304613643, + "loss": 3.0046, + "step": 1342 + }, + { + "epoch": 0.62, + "grad_norm": 1.5534392450026369, + "learning_rate": 0.00033942686074431674, + "loss": 2.976, + "step": 1343 + }, + { + "epoch": 0.62, + "grad_norm": 1.3939135222354884, + "learning_rate": 0.0003387233530619843, + "loss": 2.9227, + "step": 1344 + }, + { + "epoch": 0.62, + "grad_norm": 1.427272688826071, + "learning_rate": 0.0003380202015528084, + "loss": 3.0878, + "step": 1345 + }, + { + "epoch": 0.62, + "grad_norm": 1.4662350248532068, + "learning_rate": 0.0003373174077696715, + "loss": 2.9893, + "step": 1346 + }, + { + "epoch": 0.62, + "grad_norm": 1.4835062752038195, + "learning_rate": 0.0003366149732646661, + "loss": 2.926, + "step": 1347 + }, + { + "epoch": 0.62, + "grad_norm": 2.084737483749785, + "learning_rate": 0.00033591289958909143, + "loss": 2.8884, + "step": 1348 + }, + { + "epoch": 0.62, + "grad_norm": 1.779542080235675, + "learning_rate": 0.00033521118829344954, + "loss": 2.906, + "step": 1349 + }, + { + "epoch": 0.62, + "grad_norm": 1.7150134923851612, + "learning_rate": 0.0003345098409274423, + "loss": 3.0901, + "step": 1350 + }, + { + "epoch": 0.62, + "grad_norm": 1.3484655062880324, + "learning_rate": 0.00033380885903996796, + "loss": 2.9031, + "step": 1351 + }, + { + "epoch": 0.62, + "grad_norm": 1.5089062674724676, + "learning_rate": 0.00033310824417911766, + "loss": 2.9589, + "step": 1352 + }, + { + "epoch": 0.62, + "grad_norm": 1.6899640394809492, + "learning_rate": 0.00033240799789217184, + "loss": 3.0385, + "step": 1353 + }, + { + "epoch": 0.62, + "grad_norm": 1.5780168088710897, + "learning_rate": 0.00033170812172559694, + "loss": 2.9076, + "step": 1354 + }, + { + "epoch": 0.62, + "grad_norm": 1.5147803672292959, + "learning_rate": 0.000331008617225042, + "loss": 2.8964, + "step": 1355 + }, + { + "epoch": 0.62, + "grad_norm": 2.121543233288114, + "learning_rate": 0.0003303094859353355, + "loss": 2.979, + "step": 1356 + }, + { + "epoch": 0.62, + "grad_norm": 1.6656366010172299, + "learning_rate": 0.0003296107294004812, + "loss": 2.8862, + "step": 1357 + }, + { + "epoch": 0.62, + "grad_norm": 1.8767046389451991, + "learning_rate": 0.0003289123491636559, + "loss": 3.0106, + "step": 1358 + }, + { + "epoch": 0.62, + "grad_norm": 2.398157974096869, + "learning_rate": 0.00032821434676720443, + "loss": 3.0338, + "step": 1359 + }, + { + "epoch": 0.62, + "grad_norm": 1.5528537563609524, + "learning_rate": 0.00032751672375263836, + "loss": 2.9697, + "step": 1360 + }, + { + "epoch": 0.62, + "grad_norm": 2.0877681486701634, + "learning_rate": 0.0003268194816606305, + "loss": 2.9726, + "step": 1361 + }, + { + "epoch": 0.62, + "grad_norm": 2.710821630701027, + "learning_rate": 0.00032612262203101267, + "loss": 3.0052, + "step": 1362 + }, + { + "epoch": 0.63, + "grad_norm": 1.458382348822902, + "learning_rate": 0.00032542614640277225, + "loss": 2.8586, + "step": 1363 + }, + { + "epoch": 0.63, + "grad_norm": 2.0331627958576415, + "learning_rate": 0.0003247300563140481, + "loss": 2.8776, + "step": 1364 + }, + { + "epoch": 0.63, + "grad_norm": 2.143906633779722, + "learning_rate": 0.00032403435330212807, + "loss": 2.9577, + "step": 1365 + }, + { + "epoch": 0.63, + "grad_norm": 1.629450064586538, + "learning_rate": 0.00032333903890344515, + "loss": 2.9096, + "step": 1366 + }, + { + "epoch": 0.63, + "grad_norm": 1.5246477729689838, + "learning_rate": 0.00032264411465357333, + "loss": 2.957, + "step": 1367 + }, + { + "epoch": 0.63, + "grad_norm": 2.0637951937991454, + "learning_rate": 0.00032194958208722654, + "loss": 2.9039, + "step": 1368 + }, + { + "epoch": 0.63, + "grad_norm": 1.474378694886027, + "learning_rate": 0.00032125544273825204, + "loss": 2.8452, + "step": 1369 + }, + { + "epoch": 0.63, + "grad_norm": 1.4930776724703856, + "learning_rate": 0.0003205616981396297, + "loss": 3.0294, + "step": 1370 + }, + { + "epoch": 0.63, + "grad_norm": 1.9301379475938192, + "learning_rate": 0.00031986834982346713, + "loss": 2.9364, + "step": 1371 + }, + { + "epoch": 0.63, + "grad_norm": 1.746140145065674, + "learning_rate": 0.00031917539932099694, + "loss": 2.8717, + "step": 1372 + }, + { + "epoch": 0.63, + "grad_norm": 1.5767281709349625, + "learning_rate": 0.00031848284816257336, + "loss": 3.0257, + "step": 1373 + }, + { + "epoch": 0.63, + "grad_norm": 1.4435235721039854, + "learning_rate": 0.0003177906978776682, + "loss": 2.8976, + "step": 1374 + }, + { + "epoch": 0.63, + "grad_norm": 1.5650872205708277, + "learning_rate": 0.0003170989499948683, + "loss": 3.0314, + "step": 1375 + }, + { + "epoch": 0.63, + "grad_norm": 1.692640348238247, + "learning_rate": 0.0003164076060418719, + "loss": 3.0032, + "step": 1376 + }, + { + "epoch": 0.63, + "grad_norm": 1.4813268378755282, + "learning_rate": 0.000315716667545485, + "loss": 2.8071, + "step": 1377 + }, + { + "epoch": 0.63, + "grad_norm": 1.8352471119976326, + "learning_rate": 0.00031502613603161836, + "loss": 3.0435, + "step": 1378 + }, + { + "epoch": 0.63, + "grad_norm": 1.7266068717679979, + "learning_rate": 0.00031433601302528335, + "loss": 2.9802, + "step": 1379 + }, + { + "epoch": 0.63, + "grad_norm": 1.613266958345568, + "learning_rate": 0.00031364630005058995, + "loss": 2.8918, + "step": 1380 + }, + { + "epoch": 0.63, + "grad_norm": 1.8913328037088564, + "learning_rate": 0.0003129569986307422, + "loss": 3.0171, + "step": 1381 + }, + { + "epoch": 0.63, + "grad_norm": 1.474795949421643, + "learning_rate": 0.00031226811028803515, + "loss": 2.9633, + "step": 1382 + }, + { + "epoch": 0.63, + "grad_norm": 1.474364597263621, + "learning_rate": 0.00031157963654385173, + "loss": 2.9756, + "step": 1383 + }, + { + "epoch": 0.63, + "grad_norm": 1.5872630914320038, + "learning_rate": 0.0003108915789186592, + "loss": 2.9909, + "step": 1384 + }, + { + "epoch": 0.64, + "grad_norm": 1.597351900905089, + "learning_rate": 0.00031020393893200604, + "loss": 2.9626, + "step": 1385 + }, + { + "epoch": 0.64, + "grad_norm": 1.5795043278020011, + "learning_rate": 0.00030951671810251823, + "loss": 2.9844, + "step": 1386 + }, + { + "epoch": 0.64, + "grad_norm": 1.6023672983895467, + "learning_rate": 0.0003088299179478959, + "loss": 2.9619, + "step": 1387 + }, + { + "epoch": 0.64, + "grad_norm": 1.728788232012061, + "learning_rate": 0.0003081435399849104, + "loss": 3.012, + "step": 1388 + }, + { + "epoch": 0.64, + "grad_norm": 1.6388999334322343, + "learning_rate": 0.0003074575857294004, + "loss": 2.9612, + "step": 1389 + }, + { + "epoch": 0.64, + "grad_norm": 1.7054539291425803, + "learning_rate": 0.0003067720566962691, + "loss": 2.9113, + "step": 1390 + }, + { + "epoch": 0.64, + "grad_norm": 1.5946881973675533, + "learning_rate": 0.0003060869543994806, + "loss": 3.0111, + "step": 1391 + }, + { + "epoch": 0.64, + "grad_norm": 1.579112833044184, + "learning_rate": 0.0003054022803520562, + "loss": 2.9519, + "step": 1392 + }, + { + "epoch": 0.64, + "grad_norm": 1.8493733018688614, + "learning_rate": 0.0003047180360660721, + "loss": 2.9692, + "step": 1393 + }, + { + "epoch": 0.64, + "grad_norm": 1.5703491498427762, + "learning_rate": 0.00030403422305265475, + "loss": 2.8615, + "step": 1394 + }, + { + "epoch": 0.64, + "grad_norm": 1.5359553555036418, + "learning_rate": 0.0003033508428219785, + "loss": 2.944, + "step": 1395 + }, + { + "epoch": 0.64, + "grad_norm": 1.5693689190684206, + "learning_rate": 0.00030266789688326184, + "loss": 3.0675, + "step": 1396 + }, + { + "epoch": 0.64, + "grad_norm": 1.4972113372051779, + "learning_rate": 0.00030198538674476393, + "loss": 2.9578, + "step": 1397 + }, + { + "epoch": 0.64, + "grad_norm": 1.4942093248936732, + "learning_rate": 0.00030130331391378185, + "loss": 2.9145, + "step": 1398 + }, + { + "epoch": 0.64, + "grad_norm": 1.5233922296164328, + "learning_rate": 0.0003006216798966468, + "loss": 2.9536, + "step": 1399 + }, + { + "epoch": 0.64, + "grad_norm": 1.4624160784368594, + "learning_rate": 0.00029994048619872034, + "loss": 2.895, + "step": 1400 + }, + { + "epoch": 0.64, + "grad_norm": 1.7047015688672538, + "learning_rate": 0.0002992597343243927, + "loss": 2.9253, + "step": 1401 + }, + { + "epoch": 0.64, + "grad_norm": 1.632639380465163, + "learning_rate": 0.0002985794257770773, + "loss": 3.0136, + "step": 1402 + }, + { + "epoch": 0.64, + "grad_norm": 1.7443137682087528, + "learning_rate": 0.0002978995620592092, + "loss": 3.0467, + "step": 1403 + }, + { + "epoch": 0.64, + "grad_norm": 1.621061096602618, + "learning_rate": 0.0002972201446722405, + "loss": 2.9708, + "step": 1404 + }, + { + "epoch": 0.64, + "grad_norm": 1.7682695158903525, + "learning_rate": 0.00029654117511663803, + "loss": 2.976, + "step": 1405 + }, + { + "epoch": 0.64, + "grad_norm": 1.7474219703074103, + "learning_rate": 0.0002958626548918795, + "loss": 2.8493, + "step": 1406 + }, + { + "epoch": 0.65, + "grad_norm": 1.463330577686259, + "learning_rate": 0.00029518458549645014, + "loss": 3.0763, + "step": 1407 + }, + { + "epoch": 0.65, + "grad_norm": 1.467232757494785, + "learning_rate": 0.00029450696842783954, + "loss": 2.8993, + "step": 1408 + }, + { + "epoch": 0.65, + "grad_norm": 1.891397178120462, + "learning_rate": 0.00029382980518253865, + "loss": 2.951, + "step": 1409 + }, + { + "epoch": 0.65, + "grad_norm": 1.7599168039403779, + "learning_rate": 0.00029315309725603595, + "loss": 3.0634, + "step": 1410 + }, + { + "epoch": 0.65, + "grad_norm": 1.5185068157165313, + "learning_rate": 0.00029247684614281446, + "loss": 2.919, + "step": 1411 + }, + { + "epoch": 0.65, + "grad_norm": 1.8253371419114437, + "learning_rate": 0.0002918010533363481, + "loss": 2.9206, + "step": 1412 + }, + { + "epoch": 0.65, + "grad_norm": 1.8422968224779241, + "learning_rate": 0.0002911257203290987, + "loss": 2.8432, + "step": 1413 + }, + { + "epoch": 0.65, + "grad_norm": 1.6496202528819097, + "learning_rate": 0.00029045084861251314, + "loss": 3.0623, + "step": 1414 + }, + { + "epoch": 0.65, + "grad_norm": 2.012893809877519, + "learning_rate": 0.00028977643967701897, + "loss": 2.9576, + "step": 1415 + }, + { + "epoch": 0.65, + "grad_norm": 1.9168883504738665, + "learning_rate": 0.00028910249501202156, + "loss": 2.9358, + "step": 1416 + }, + { + "epoch": 0.65, + "grad_norm": 1.9423610968115808, + "learning_rate": 0.00028842901610590165, + "loss": 2.9877, + "step": 1417 + }, + { + "epoch": 0.65, + "grad_norm": 1.9506877231917894, + "learning_rate": 0.00028775600444601123, + "loss": 2.9764, + "step": 1418 + }, + { + "epoch": 0.65, + "grad_norm": 2.3334004225026237, + "learning_rate": 0.00028708346151866973, + "loss": 2.9201, + "step": 1419 + }, + { + "epoch": 0.65, + "grad_norm": 1.6154873122732294, + "learning_rate": 0.0002864113888091622, + "loss": 2.9686, + "step": 1420 + }, + { + "epoch": 0.65, + "grad_norm": 1.9663132163825408, + "learning_rate": 0.0002857397878017348, + "loss": 2.9562, + "step": 1421 + }, + { + "epoch": 0.65, + "grad_norm": 2.0519938815976517, + "learning_rate": 0.00028506865997959173, + "loss": 2.9478, + "step": 1422 + }, + { + "epoch": 0.65, + "grad_norm": 1.5177169988656318, + "learning_rate": 0.000284398006824893, + "loss": 3.0404, + "step": 1423 + }, + { + "epoch": 0.65, + "grad_norm": 1.787514007695418, + "learning_rate": 0.00028372782981874963, + "loss": 2.9171, + "step": 1424 + }, + { + "epoch": 0.65, + "grad_norm": 1.6430796364440303, + "learning_rate": 0.00028305813044122096, + "loss": 2.8965, + "step": 1425 + }, + { + "epoch": 0.65, + "grad_norm": 1.6845035085775544, + "learning_rate": 0.0002823889101713122, + "loss": 2.993, + "step": 1426 + }, + { + "epoch": 0.65, + "grad_norm": 1.4029502775942215, + "learning_rate": 0.0002817201704869701, + "loss": 3.0604, + "step": 1427 + }, + { + "epoch": 0.65, + "grad_norm": 1.6964297995620303, + "learning_rate": 0.00028105191286508, + "loss": 3.061, + "step": 1428 + }, + { + "epoch": 0.66, + "grad_norm": 1.772940096598246, + "learning_rate": 0.00028038413878146245, + "loss": 2.9677, + "step": 1429 + }, + { + "epoch": 0.66, + "grad_norm": 1.6742471399529648, + "learning_rate": 0.00027971684971087073, + "loss": 2.8788, + "step": 1430 + }, + { + "epoch": 0.66, + "grad_norm": 1.7972572418251187, + "learning_rate": 0.00027905004712698643, + "loss": 2.8768, + "step": 1431 + }, + { + "epoch": 0.66, + "grad_norm": 1.7839159080981906, + "learning_rate": 0.0002783837325024167, + "loss": 2.9872, + "step": 1432 + }, + { + "epoch": 0.66, + "grad_norm": 1.3925395735571318, + "learning_rate": 0.00027771790730869153, + "loss": 2.9968, + "step": 1433 + }, + { + "epoch": 0.66, + "grad_norm": 1.7008308304617028, + "learning_rate": 0.0002770525730162599, + "loss": 2.9314, + "step": 1434 + }, + { + "epoch": 0.66, + "grad_norm": 1.580406122805253, + "learning_rate": 0.00027638773109448645, + "loss": 2.9094, + "step": 1435 + }, + { + "epoch": 0.66, + "grad_norm": 1.7109514587578447, + "learning_rate": 0.00027572338301164824, + "loss": 3.0569, + "step": 1436 + }, + { + "epoch": 0.66, + "grad_norm": 1.575838054738935, + "learning_rate": 0.0002750595302349324, + "loss": 2.88, + "step": 1437 + }, + { + "epoch": 0.66, + "grad_norm": 1.64111912579196, + "learning_rate": 0.00027439617423043145, + "loss": 2.9151, + "step": 1438 + }, + { + "epoch": 0.66, + "grad_norm": 1.5836007325082615, + "learning_rate": 0.00027373331646314114, + "loss": 2.909, + "step": 1439 + }, + { + "epoch": 0.66, + "grad_norm": 1.9386809311449786, + "learning_rate": 0.0002730709583969572, + "loss": 2.8861, + "step": 1440 + }, + { + "epoch": 0.66, + "grad_norm": 1.4726818380073057, + "learning_rate": 0.0002724091014946711, + "loss": 3.0225, + "step": 1441 + }, + { + "epoch": 0.66, + "grad_norm": 1.9487696453081842, + "learning_rate": 0.00027174774721796824, + "loss": 2.9398, + "step": 1442 + }, + { + "epoch": 0.66, + "grad_norm": 2.1348471927367507, + "learning_rate": 0.0002710868970274232, + "loss": 2.9258, + "step": 1443 + }, + { + "epoch": 0.66, + "grad_norm": 1.48227765469923, + "learning_rate": 0.0002704265523824982, + "loss": 2.9098, + "step": 1444 + }, + { + "epoch": 0.66, + "grad_norm": 1.812636894124514, + "learning_rate": 0.00026976671474153826, + "loss": 2.9432, + "step": 1445 + }, + { + "epoch": 0.66, + "grad_norm": 1.7325772817498266, + "learning_rate": 0.00026910738556176886, + "loss": 2.9392, + "step": 1446 + }, + { + "epoch": 0.66, + "grad_norm": 1.6434455055710229, + "learning_rate": 0.0002684485662992929, + "loss": 2.9974, + "step": 1447 + }, + { + "epoch": 0.66, + "grad_norm": 1.3998785135292606, + "learning_rate": 0.0002677902584090869, + "loss": 2.9936, + "step": 1448 + }, + { + "epoch": 0.66, + "grad_norm": 2.2857011146047195, + "learning_rate": 0.00026713246334499774, + "loss": 2.8716, + "step": 1449 + }, + { + "epoch": 0.67, + "grad_norm": 1.6837911593026704, + "learning_rate": 0.00026647518255974023, + "loss": 2.9168, + "step": 1450 + }, + { + "epoch": 0.67, + "grad_norm": 1.4851466251187184, + "learning_rate": 0.0002658184175048934, + "loss": 2.9192, + "step": 1451 + }, + { + "epoch": 0.67, + "grad_norm": 1.6057931670418535, + "learning_rate": 0.00026516216963089694, + "loss": 2.9781, + "step": 1452 + }, + { + "epoch": 0.67, + "grad_norm": 1.7460870575144598, + "learning_rate": 0.0002645064403870488, + "loss": 3.0093, + "step": 1453 + }, + { + "epoch": 0.67, + "grad_norm": 1.6472092669898926, + "learning_rate": 0.0002638512312215011, + "loss": 2.9784, + "step": 1454 + }, + { + "epoch": 0.67, + "grad_norm": 1.463279415653525, + "learning_rate": 0.0002631965435812575, + "loss": 2.9109, + "step": 1455 + }, + { + "epoch": 0.67, + "grad_norm": 1.764635506677426, + "learning_rate": 0.00026254237891217046, + "loss": 2.9248, + "step": 1456 + }, + { + "epoch": 0.67, + "grad_norm": 2.0090179436877946, + "learning_rate": 0.0002618887386589367, + "loss": 2.9407, + "step": 1457 + }, + { + "epoch": 0.67, + "grad_norm": 1.5349764154897843, + "learning_rate": 0.0002612356242650949, + "loss": 2.8539, + "step": 1458 + }, + { + "epoch": 0.67, + "grad_norm": 1.6188750989189098, + "learning_rate": 0.0002605830371730229, + "loss": 2.8285, + "step": 1459 + }, + { + "epoch": 0.67, + "grad_norm": 1.631474483328909, + "learning_rate": 0.0002599309788239339, + "loss": 2.983, + "step": 1460 + }, + { + "epoch": 0.67, + "grad_norm": 2.495424074144567, + "learning_rate": 0.00025927945065787306, + "loss": 2.9395, + "step": 1461 + }, + { + "epoch": 0.67, + "grad_norm": 1.7756282704604038, + "learning_rate": 0.0002586284541137145, + "loss": 2.9565, + "step": 1462 + }, + { + "epoch": 0.67, + "grad_norm": 2.173073229337383, + "learning_rate": 0.00025797799062915905, + "loss": 2.964, + "step": 1463 + }, + { + "epoch": 0.67, + "grad_norm": 2.6011925175193404, + "learning_rate": 0.00025732806164072966, + "loss": 2.9618, + "step": 1464 + }, + { + "epoch": 0.67, + "grad_norm": 2.077744695541047, + "learning_rate": 0.00025667866858376874, + "loss": 3.0181, + "step": 1465 + }, + { + "epoch": 0.67, + "grad_norm": 1.815296462224908, + "learning_rate": 0.0002560298128924358, + "loss": 2.913, + "step": 1466 + }, + { + "epoch": 0.67, + "grad_norm": 1.8858103703148215, + "learning_rate": 0.0002553814959997032, + "loss": 3.0468, + "step": 1467 + }, + { + "epoch": 0.67, + "grad_norm": 2.3420019008631696, + "learning_rate": 0.00025473371933735334, + "loss": 2.8835, + "step": 1468 + }, + { + "epoch": 0.67, + "grad_norm": 1.6778825385242786, + "learning_rate": 0.00025408648433597534, + "loss": 2.9263, + "step": 1469 + }, + { + "epoch": 0.67, + "grad_norm": 2.4118021309265316, + "learning_rate": 0.00025343979242496283, + "loss": 2.823, + "step": 1470 + }, + { + "epoch": 0.67, + "grad_norm": 2.0497359073704535, + "learning_rate": 0.00025279364503250925, + "loss": 2.9324, + "step": 1471 + }, + { + "epoch": 0.68, + "grad_norm": 1.5800702916609484, + "learning_rate": 0.0002521480435856056, + "loss": 2.9229, + "step": 1472 + }, + { + "epoch": 0.68, + "grad_norm": 1.4982796189809016, + "learning_rate": 0.0002515029895100378, + "loss": 2.8332, + "step": 1473 + }, + { + "epoch": 0.68, + "grad_norm": 2.2057197050565596, + "learning_rate": 0.0002508584842303822, + "loss": 3.0021, + "step": 1474 + }, + { + "epoch": 0.68, + "grad_norm": 1.8114638268662162, + "learning_rate": 0.0002502145291700038, + "loss": 2.8443, + "step": 1475 + }, + { + "epoch": 0.68, + "grad_norm": 1.5099089213027126, + "learning_rate": 0.0002495711257510517, + "loss": 2.936, + "step": 1476 + }, + { + "epoch": 0.68, + "grad_norm": 1.976124566157622, + "learning_rate": 0.0002489282753944575, + "loss": 2.9514, + "step": 1477 + }, + { + "epoch": 0.68, + "grad_norm": 1.6141570147523714, + "learning_rate": 0.00024828597951993093, + "loss": 2.8578, + "step": 1478 + }, + { + "epoch": 0.68, + "grad_norm": 1.6434832273580102, + "learning_rate": 0.00024764423954595706, + "loss": 2.9379, + "step": 1479 + }, + { + "epoch": 0.68, + "grad_norm": 1.5204860209520548, + "learning_rate": 0.0002470030568897938, + "loss": 2.8826, + "step": 1480 + }, + { + "epoch": 0.68, + "grad_norm": 1.5979289471209772, + "learning_rate": 0.00024636243296746773, + "loss": 2.9543, + "step": 1481 + }, + { + "epoch": 0.68, + "grad_norm": 1.588733270048087, + "learning_rate": 0.0002457223691937716, + "loss": 2.9174, + "step": 1482 + }, + { + "epoch": 0.68, + "grad_norm": 1.5100541831476932, + "learning_rate": 0.0002450828669822613, + "loss": 2.8684, + "step": 1483 + }, + { + "epoch": 0.68, + "grad_norm": 1.5086001868370686, + "learning_rate": 0.00024444392774525253, + "loss": 2.8994, + "step": 1484 + }, + { + "epoch": 0.68, + "grad_norm": 1.450782648551871, + "learning_rate": 0.00024380555289381733, + "loss": 3.0069, + "step": 1485 + }, + { + "epoch": 0.68, + "grad_norm": 1.4447054638513908, + "learning_rate": 0.00024316774383778184, + "loss": 2.8727, + "step": 1486 + }, + { + "epoch": 0.68, + "grad_norm": 1.4898841541000822, + "learning_rate": 0.0002425305019857222, + "loss": 2.8744, + "step": 1487 + }, + { + "epoch": 0.68, + "grad_norm": 1.6993199675387893, + "learning_rate": 0.00024189382874496184, + "loss": 3.0014, + "step": 1488 + }, + { + "epoch": 0.68, + "grad_norm": 1.650859869626695, + "learning_rate": 0.00024125772552156916, + "loss": 3.0137, + "step": 1489 + }, + { + "epoch": 0.68, + "grad_norm": 1.4260351249485441, + "learning_rate": 0.00024062219372035292, + "loss": 2.9275, + "step": 1490 + }, + { + "epoch": 0.68, + "grad_norm": 1.4587359361733256, + "learning_rate": 0.00023998723474486007, + "loss": 2.9233, + "step": 1491 + }, + { + "epoch": 0.68, + "grad_norm": 1.5967972434990227, + "learning_rate": 0.00023935284999737272, + "loss": 2.9578, + "step": 1492 + }, + { + "epoch": 0.68, + "grad_norm": 1.5140567377845602, + "learning_rate": 0.00023871904087890505, + "loss": 2.9578, + "step": 1493 + }, + { + "epoch": 0.69, + "grad_norm": 1.4890697612198782, + "learning_rate": 0.00023808580878919945, + "loss": 2.9735, + "step": 1494 + }, + { + "epoch": 0.69, + "grad_norm": 1.517471960823647, + "learning_rate": 0.00023745315512672398, + "loss": 2.9365, + "step": 1495 + }, + { + "epoch": 0.69, + "grad_norm": 1.4814341341178476, + "learning_rate": 0.0002368210812886698, + "loss": 2.8808, + "step": 1496 + }, + { + "epoch": 0.69, + "grad_norm": 1.450001509621225, + "learning_rate": 0.0002361895886709471, + "loss": 3.0162, + "step": 1497 + }, + { + "epoch": 0.69, + "grad_norm": 1.651193932871942, + "learning_rate": 0.0002355586786681823, + "loss": 2.9472, + "step": 1498 + }, + { + "epoch": 0.69, + "grad_norm": 1.5500637448824848, + "learning_rate": 0.00023492835267371575, + "loss": 2.8926, + "step": 1499 + }, + { + "epoch": 0.69, + "grad_norm": 1.569200226775873, + "learning_rate": 0.0002342986120795978, + "loss": 2.9428, + "step": 1500 + }, + { + "epoch": 0.69, + "grad_norm": 1.437968889664695, + "learning_rate": 0.0002336694582765857, + "loss": 2.8881, + "step": 1501 + }, + { + "epoch": 0.69, + "grad_norm": 1.5552014979087858, + "learning_rate": 0.00023304089265414085, + "loss": 2.9632, + "step": 1502 + }, + { + "epoch": 0.69, + "grad_norm": 1.4052475836841227, + "learning_rate": 0.00023241291660042613, + "loss": 2.9597, + "step": 1503 + }, + { + "epoch": 0.69, + "grad_norm": 1.752966646231565, + "learning_rate": 0.00023178553150230186, + "loss": 2.9798, + "step": 1504 + }, + { + "epoch": 0.69, + "grad_norm": 1.4240897380123736, + "learning_rate": 0.00023115873874532324, + "loss": 2.8939, + "step": 1505 + }, + { + "epoch": 0.69, + "grad_norm": 1.688427991877061, + "learning_rate": 0.00023053253971373796, + "loss": 3.0191, + "step": 1506 + }, + { + "epoch": 0.69, + "grad_norm": 1.745064967939218, + "learning_rate": 0.00022990693579048166, + "loss": 2.8252, + "step": 1507 + }, + { + "epoch": 0.69, + "grad_norm": 1.6130176231790239, + "learning_rate": 0.00022928192835717644, + "loss": 2.9054, + "step": 1508 + }, + { + "epoch": 0.69, + "grad_norm": 1.604152498608473, + "learning_rate": 0.00022865751879412634, + "loss": 2.9609, + "step": 1509 + }, + { + "epoch": 0.69, + "grad_norm": 1.9597197585371093, + "learning_rate": 0.00022803370848031585, + "loss": 2.9919, + "step": 1510 + }, + { + "epoch": 0.69, + "grad_norm": 1.4874356965176743, + "learning_rate": 0.00022741049879340542, + "loss": 2.9606, + "step": 1511 + }, + { + "epoch": 0.69, + "grad_norm": 1.744576593036428, + "learning_rate": 0.00022678789110972897, + "loss": 2.7889, + "step": 1512 + }, + { + "epoch": 0.69, + "grad_norm": 2.166068197922419, + "learning_rate": 0.00022616588680429155, + "loss": 2.9004, + "step": 1513 + }, + { + "epoch": 0.69, + "grad_norm": 1.578302224919738, + "learning_rate": 0.00022554448725076526, + "loss": 3.0183, + "step": 1514 + }, + { + "epoch": 0.69, + "grad_norm": 1.5961367770030592, + "learning_rate": 0.0002249236938214863, + "loss": 2.9501, + "step": 1515 + }, + { + "epoch": 0.7, + "grad_norm": 1.832155566828616, + "learning_rate": 0.00022430350788745296, + "loss": 2.9671, + "step": 1516 + }, + { + "epoch": 0.7, + "grad_norm": 1.6432574971173606, + "learning_rate": 0.00022368393081832166, + "loss": 3.0415, + "step": 1517 + }, + { + "epoch": 0.7, + "grad_norm": 1.4825851650348905, + "learning_rate": 0.00022306496398240383, + "loss": 2.9573, + "step": 1518 + }, + { + "epoch": 0.7, + "grad_norm": 1.8309804675550556, + "learning_rate": 0.00022244660874666373, + "loss": 2.8755, + "step": 1519 + }, + { + "epoch": 0.7, + "grad_norm": 1.5143518258849638, + "learning_rate": 0.00022182886647671452, + "loss": 2.9055, + "step": 1520 + }, + { + "epoch": 0.7, + "grad_norm": 1.6717227252189408, + "learning_rate": 0.0002212117385368157, + "loss": 2.8681, + "step": 1521 + }, + { + "epoch": 0.7, + "grad_norm": 1.6492430589357554, + "learning_rate": 0.00022059522628987038, + "loss": 2.8652, + "step": 1522 + }, + { + "epoch": 0.7, + "grad_norm": 1.7461307117025051, + "learning_rate": 0.00021997933109742162, + "loss": 2.9148, + "step": 1523 + }, + { + "epoch": 0.7, + "grad_norm": 1.5238307246788927, + "learning_rate": 0.00021936405431964969, + "loss": 2.9439, + "step": 1524 + }, + { + "epoch": 0.7, + "grad_norm": 1.606684000169697, + "learning_rate": 0.00021874939731536926, + "loss": 2.8118, + "step": 1525 + }, + { + "epoch": 0.7, + "grad_norm": 1.6469402909653346, + "learning_rate": 0.00021813536144202656, + "loss": 2.8216, + "step": 1526 + }, + { + "epoch": 0.7, + "grad_norm": 1.4473613107756589, + "learning_rate": 0.00021752194805569553, + "loss": 2.8592, + "step": 1527 + }, + { + "epoch": 0.7, + "grad_norm": 1.9210256471384464, + "learning_rate": 0.0002169091585110754, + "loss": 2.8887, + "step": 1528 + }, + { + "epoch": 0.7, + "grad_norm": 1.6824266702541943, + "learning_rate": 0.00021629699416148828, + "loss": 2.8762, + "step": 1529 + }, + { + "epoch": 0.7, + "grad_norm": 1.5276484237437646, + "learning_rate": 0.000215685456358875, + "loss": 3.0055, + "step": 1530 + }, + { + "epoch": 0.7, + "grad_norm": 1.650967430573702, + "learning_rate": 0.00021507454645379258, + "loss": 2.9529, + "step": 1531 + }, + { + "epoch": 0.7, + "grad_norm": 1.467836797235011, + "learning_rate": 0.00021446426579541184, + "loss": 2.9541, + "step": 1532 + }, + { + "epoch": 0.7, + "grad_norm": 1.5184403000546254, + "learning_rate": 0.00021385461573151387, + "loss": 2.9063, + "step": 1533 + }, + { + "epoch": 0.7, + "grad_norm": 1.4755613221120354, + "learning_rate": 0.00021324559760848677, + "loss": 2.9334, + "step": 1534 + }, + { + "epoch": 0.7, + "grad_norm": 1.8435316952699927, + "learning_rate": 0.00021263721277132303, + "loss": 2.9096, + "step": 1535 + }, + { + "epoch": 0.7, + "grad_norm": 1.5528816049942322, + "learning_rate": 0.0002120294625636171, + "loss": 2.9324, + "step": 1536 + }, + { + "epoch": 0.7, + "grad_norm": 1.8022472109399794, + "learning_rate": 0.0002114223483275613, + "loss": 2.8272, + "step": 1537 + }, + { + "epoch": 0.71, + "grad_norm": 1.6607380397507938, + "learning_rate": 0.0002108158714039435, + "loss": 2.9731, + "step": 1538 + }, + { + "epoch": 0.71, + "grad_norm": 1.6280258291651917, + "learning_rate": 0.00021021003313214455, + "loss": 3.0223, + "step": 1539 + }, + { + "epoch": 0.71, + "grad_norm": 1.4846970176346543, + "learning_rate": 0.00020960483485013432, + "loss": 2.9022, + "step": 1540 + }, + { + "epoch": 0.71, + "grad_norm": 1.627720605792389, + "learning_rate": 0.0002090002778944694, + "loss": 2.9267, + "step": 1541 + }, + { + "epoch": 0.71, + "grad_norm": 1.4616844668619664, + "learning_rate": 0.00020839636360029025, + "loss": 2.9249, + "step": 1542 + }, + { + "epoch": 0.71, + "grad_norm": 2.000394979488673, + "learning_rate": 0.00020779309330131818, + "loss": 2.9365, + "step": 1543 + }, + { + "epoch": 0.71, + "grad_norm": 1.563939551361803, + "learning_rate": 0.00020719046832985184, + "loss": 2.9283, + "step": 1544 + }, + { + "epoch": 0.71, + "grad_norm": 1.575648692892011, + "learning_rate": 0.0002065884900167646, + "loss": 2.8973, + "step": 1545 + }, + { + "epoch": 0.71, + "grad_norm": 1.7836966390021012, + "learning_rate": 0.0002059871596915024, + "loss": 2.9627, + "step": 1546 + }, + { + "epoch": 0.71, + "grad_norm": 1.5091666644804809, + "learning_rate": 0.0002053864786820795, + "loss": 3.0173, + "step": 1547 + }, + { + "epoch": 0.71, + "grad_norm": 1.5042713191277945, + "learning_rate": 0.00020478644831507627, + "loss": 2.7886, + "step": 1548 + }, + { + "epoch": 0.71, + "grad_norm": 1.3850664676755933, + "learning_rate": 0.00020418706991563634, + "loss": 2.935, + "step": 1549 + }, + { + "epoch": 0.71, + "grad_norm": 1.5453125689425402, + "learning_rate": 0.00020358834480746363, + "loss": 2.9125, + "step": 1550 + }, + { + "epoch": 0.71, + "grad_norm": 1.709324975485777, + "learning_rate": 0.0002029902743128188, + "loss": 2.9848, + "step": 1551 + }, + { + "epoch": 0.71, + "grad_norm": 1.4631976550816435, + "learning_rate": 0.0002023928597525174, + "loss": 2.9102, + "step": 1552 + }, + { + "epoch": 0.71, + "grad_norm": 1.6145948870160833, + "learning_rate": 0.00020179610244592595, + "loss": 2.9375, + "step": 1553 + }, + { + "epoch": 0.71, + "grad_norm": 1.4586780223654032, + "learning_rate": 0.00020120000371095937, + "loss": 2.8557, + "step": 1554 + }, + { + "epoch": 0.71, + "grad_norm": 1.5939331562291752, + "learning_rate": 0.0002006045648640787, + "loss": 2.8535, + "step": 1555 + }, + { + "epoch": 0.71, + "grad_norm": 1.4288314650899843, + "learning_rate": 0.00020000978722028713, + "loss": 2.9021, + "step": 1556 + }, + { + "epoch": 0.71, + "grad_norm": 1.910083420323651, + "learning_rate": 0.00019941567209312767, + "loss": 3.052, + "step": 1557 + }, + { + "epoch": 0.71, + "grad_norm": 1.4932168198758526, + "learning_rate": 0.00019882222079468036, + "loss": 2.9266, + "step": 1558 + }, + { + "epoch": 0.72, + "grad_norm": 1.8962489584561792, + "learning_rate": 0.0001982294346355595, + "loss": 2.8418, + "step": 1559 + }, + { + "epoch": 0.72, + "grad_norm": 1.6523693164888842, + "learning_rate": 0.00019763731492490976, + "loss": 2.9588, + "step": 1560 + }, + { + "epoch": 0.72, + "grad_norm": 1.4595715914312297, + "learning_rate": 0.00019704586297040422, + "loss": 2.8439, + "step": 1561 + }, + { + "epoch": 0.72, + "grad_norm": 1.5774161399172488, + "learning_rate": 0.0001964550800782417, + "loss": 2.9274, + "step": 1562 + }, + { + "epoch": 0.72, + "grad_norm": 1.7287881607374254, + "learning_rate": 0.00019586496755314288, + "loss": 2.8835, + "step": 1563 + }, + { + "epoch": 0.72, + "grad_norm": 1.5696691326363457, + "learning_rate": 0.00019527552669834798, + "loss": 2.8207, + "step": 1564 + }, + { + "epoch": 0.72, + "grad_norm": 1.389051887615987, + "learning_rate": 0.0001946867588156142, + "loss": 2.8989, + "step": 1565 + }, + { + "epoch": 0.72, + "grad_norm": 1.5107964847271647, + "learning_rate": 0.00019409866520521258, + "loss": 2.8306, + "step": 1566 + }, + { + "epoch": 0.72, + "grad_norm": 2.1157399283355014, + "learning_rate": 0.00019351124716592455, + "loss": 2.9169, + "step": 1567 + }, + { + "epoch": 0.72, + "grad_norm": 1.7481227025648727, + "learning_rate": 0.0001929245059950397, + "loss": 2.8405, + "step": 1568 + }, + { + "epoch": 0.72, + "grad_norm": 1.5780464703416155, + "learning_rate": 0.0001923384429883533, + "loss": 2.9657, + "step": 1569 + }, + { + "epoch": 0.72, + "grad_norm": 1.7998906124677252, + "learning_rate": 0.00019175305944016237, + "loss": 2.8179, + "step": 1570 + }, + { + "epoch": 0.72, + "grad_norm": 1.5225235916594257, + "learning_rate": 0.00019116835664326326, + "loss": 2.9237, + "step": 1571 + }, + { + "epoch": 0.72, + "grad_norm": 1.695880977798995, + "learning_rate": 0.0001905843358889497, + "loss": 2.9431, + "step": 1572 + }, + { + "epoch": 0.72, + "grad_norm": 1.8030127938241327, + "learning_rate": 0.00019000099846700836, + "loss": 2.9851, + "step": 1573 + }, + { + "epoch": 0.72, + "grad_norm": 2.111696332321112, + "learning_rate": 0.00018941834566571692, + "loss": 2.8494, + "step": 1574 + }, + { + "epoch": 0.72, + "grad_norm": 1.4777502826776756, + "learning_rate": 0.00018883637877184145, + "loss": 2.8052, + "step": 1575 + }, + { + "epoch": 0.72, + "grad_norm": 1.5340450874789968, + "learning_rate": 0.00018825509907063325, + "loss": 2.9251, + "step": 1576 + }, + { + "epoch": 0.72, + "grad_norm": 1.6177474500874722, + "learning_rate": 0.00018767450784582557, + "loss": 2.9518, + "step": 1577 + }, + { + "epoch": 0.72, + "grad_norm": 2.1832012551531763, + "learning_rate": 0.00018709460637963122, + "loss": 2.9006, + "step": 1578 + }, + { + "epoch": 0.72, + "grad_norm": 1.532182723676707, + "learning_rate": 0.00018651539595274013, + "loss": 2.8299, + "step": 1579 + }, + { + "epoch": 0.72, + "grad_norm": 1.7411982492102012, + "learning_rate": 0.00018593687784431578, + "loss": 2.9114, + "step": 1580 + }, + { + "epoch": 0.73, + "grad_norm": 1.575710696257478, + "learning_rate": 0.00018535905333199248, + "loss": 2.8119, + "step": 1581 + }, + { + "epoch": 0.73, + "grad_norm": 1.5345858883161672, + "learning_rate": 0.0001847819236918733, + "loss": 2.874, + "step": 1582 + }, + { + "epoch": 0.73, + "grad_norm": 1.7507909903485182, + "learning_rate": 0.00018420549019852655, + "loss": 2.9765, + "step": 1583 + }, + { + "epoch": 0.73, + "grad_norm": 1.614853851938068, + "learning_rate": 0.00018362975412498266, + "loss": 2.9586, + "step": 1584 + }, + { + "epoch": 0.73, + "grad_norm": 1.7071210344986194, + "learning_rate": 0.00018305471674273261, + "loss": 2.8786, + "step": 1585 + }, + { + "epoch": 0.73, + "grad_norm": 1.523657578901562, + "learning_rate": 0.0001824803793217237, + "loss": 2.8041, + "step": 1586 + }, + { + "epoch": 0.73, + "grad_norm": 1.728578902872943, + "learning_rate": 0.00018190674313035737, + "loss": 2.9156, + "step": 1587 + }, + { + "epoch": 0.73, + "grad_norm": 1.6171334879023633, + "learning_rate": 0.00018133380943548716, + "loss": 2.8948, + "step": 1588 + }, + { + "epoch": 0.73, + "grad_norm": 2.32734164031763, + "learning_rate": 0.00018076157950241452, + "loss": 2.9072, + "step": 1589 + }, + { + "epoch": 0.73, + "grad_norm": 1.437750324550463, + "learning_rate": 0.00018019005459488652, + "loss": 2.9262, + "step": 1590 + }, + { + "epoch": 0.73, + "grad_norm": 2.0576421421126807, + "learning_rate": 0.00017961923597509388, + "loss": 3.0327, + "step": 1591 + }, + { + "epoch": 0.73, + "grad_norm": 1.7597478662949821, + "learning_rate": 0.00017904912490366722, + "loss": 2.9316, + "step": 1592 + }, + { + "epoch": 0.73, + "grad_norm": 1.4829153680635956, + "learning_rate": 0.00017847972263967433, + "loss": 3.0064, + "step": 1593 + }, + { + "epoch": 0.73, + "grad_norm": 1.5011810954688871, + "learning_rate": 0.0001779110304406177, + "loss": 2.9352, + "step": 1594 + }, + { + "epoch": 0.73, + "grad_norm": 1.7309444313142408, + "learning_rate": 0.000177343049562432, + "loss": 2.8138, + "step": 1595 + }, + { + "epoch": 0.73, + "grad_norm": 1.861315362155302, + "learning_rate": 0.0001767757812594807, + "loss": 2.9014, + "step": 1596 + }, + { + "epoch": 0.73, + "grad_norm": 1.5750567234687645, + "learning_rate": 0.0001762092267845534, + "loss": 2.8707, + "step": 1597 + }, + { + "epoch": 0.73, + "grad_norm": 1.6217684758113966, + "learning_rate": 0.00017564338738886365, + "loss": 2.8933, + "step": 1598 + }, + { + "epoch": 0.73, + "grad_norm": 1.7280969565460895, + "learning_rate": 0.0001750782643220457, + "loss": 3.0143, + "step": 1599 + }, + { + "epoch": 0.73, + "grad_norm": 1.5857575509252646, + "learning_rate": 0.00017451385883215166, + "loss": 3.0419, + "step": 1600 + }, + { + "epoch": 0.73, + "grad_norm": 1.6638601047633876, + "learning_rate": 0.00017395017216564863, + "loss": 2.789, + "step": 1601 + }, + { + "epoch": 0.73, + "grad_norm": 1.3841660994377334, + "learning_rate": 0.00017338720556741687, + "loss": 2.915, + "step": 1602 + }, + { + "epoch": 0.74, + "grad_norm": 1.7239488480074179, + "learning_rate": 0.00017282496028074606, + "loss": 3.0139, + "step": 1603 + }, + { + "epoch": 0.74, + "grad_norm": 1.586758145914941, + "learning_rate": 0.00017226343754733254, + "loss": 2.8973, + "step": 1604 + }, + { + "epoch": 0.74, + "grad_norm": 1.3966059783732871, + "learning_rate": 0.00017170263860727769, + "loss": 2.9135, + "step": 1605 + }, + { + "epoch": 0.74, + "grad_norm": 1.5532350617147523, + "learning_rate": 0.0001711425646990838, + "loss": 2.8298, + "step": 1606 + }, + { + "epoch": 0.74, + "grad_norm": 1.4590370493934266, + "learning_rate": 0.00017058321705965202, + "loss": 2.9054, + "step": 1607 + }, + { + "epoch": 0.74, + "grad_norm": 1.6112303189506407, + "learning_rate": 0.0001700245969242798, + "loss": 2.9216, + "step": 1608 + }, + { + "epoch": 0.74, + "grad_norm": 1.5009635877418905, + "learning_rate": 0.00016946670552665804, + "loss": 2.8847, + "step": 1609 + }, + { + "epoch": 0.74, + "grad_norm": 1.6609446837121848, + "learning_rate": 0.00016890954409886795, + "loss": 2.8736, + "step": 1610 + }, + { + "epoch": 0.74, + "grad_norm": 1.519152944517092, + "learning_rate": 0.00016835311387137836, + "loss": 2.8795, + "step": 1611 + }, + { + "epoch": 0.74, + "grad_norm": 1.5909878593499307, + "learning_rate": 0.0001677974160730441, + "loss": 2.9307, + "step": 1612 + }, + { + "epoch": 0.74, + "grad_norm": 1.5276057630215325, + "learning_rate": 0.00016724245193110176, + "loss": 2.9395, + "step": 1613 + }, + { + "epoch": 0.74, + "grad_norm": 1.7070727050989027, + "learning_rate": 0.00016668822267116784, + "loss": 2.9137, + "step": 1614 + }, + { + "epoch": 0.74, + "grad_norm": 1.5827009712747229, + "learning_rate": 0.00016613472951723597, + "loss": 2.899, + "step": 1615 + }, + { + "epoch": 0.74, + "grad_norm": 1.47808418583521, + "learning_rate": 0.00016558197369167434, + "loss": 2.8818, + "step": 1616 + }, + { + "epoch": 0.74, + "grad_norm": 1.7738888909045838, + "learning_rate": 0.00016502995641522216, + "loss": 2.9539, + "step": 1617 + }, + { + "epoch": 0.74, + "grad_norm": 1.5086267462756844, + "learning_rate": 0.00016447867890698843, + "loss": 2.9097, + "step": 1618 + }, + { + "epoch": 0.74, + "grad_norm": 1.643142335490357, + "learning_rate": 0.00016392814238444753, + "loss": 2.9378, + "step": 1619 + }, + { + "epoch": 0.74, + "grad_norm": 1.559455600665628, + "learning_rate": 0.00016337834806343782, + "loss": 2.9154, + "step": 1620 + }, + { + "epoch": 0.74, + "grad_norm": 1.6358421942624877, + "learning_rate": 0.0001628292971581588, + "loss": 2.8887, + "step": 1621 + }, + { + "epoch": 0.74, + "grad_norm": 1.6446261862061582, + "learning_rate": 0.00016228099088116772, + "loss": 2.9826, + "step": 1622 + }, + { + "epoch": 0.74, + "grad_norm": 1.5204528148467293, + "learning_rate": 0.00016173343044337734, + "loss": 2.9719, + "step": 1623 + }, + { + "epoch": 0.74, + "grad_norm": 1.433630866245793, + "learning_rate": 0.00016118661705405356, + "loss": 2.8579, + "step": 1624 + }, + { + "epoch": 0.75, + "grad_norm": 1.6375924863070221, + "learning_rate": 0.00016064055192081255, + "loss": 2.9417, + "step": 1625 + }, + { + "epoch": 0.75, + "grad_norm": 1.679973279026685, + "learning_rate": 0.00016009523624961757, + "loss": 2.8753, + "step": 1626 + }, + { + "epoch": 0.75, + "grad_norm": 1.483922092710041, + "learning_rate": 0.00015955067124477678, + "loss": 2.8357, + "step": 1627 + }, + { + "epoch": 0.75, + "grad_norm": 1.5670847713738632, + "learning_rate": 0.000159006858108941, + "loss": 2.9255, + "step": 1628 + }, + { + "epoch": 0.75, + "grad_norm": 1.5438434444322824, + "learning_rate": 0.00015846379804310002, + "loss": 2.847, + "step": 1629 + }, + { + "epoch": 0.75, + "grad_norm": 1.519205816778686, + "learning_rate": 0.00015792149224658054, + "loss": 2.7868, + "step": 1630 + }, + { + "epoch": 0.75, + "grad_norm": 1.5657500381818303, + "learning_rate": 0.00015737994191704385, + "loss": 2.9517, + "step": 1631 + }, + { + "epoch": 0.75, + "grad_norm": 1.4748546401143636, + "learning_rate": 0.0001568391482504829, + "loss": 2.8237, + "step": 1632 + }, + { + "epoch": 0.75, + "grad_norm": 1.6265381687914875, + "learning_rate": 0.00015629911244121903, + "loss": 2.8586, + "step": 1633 + }, + { + "epoch": 0.75, + "grad_norm": 1.7721597604931751, + "learning_rate": 0.0001557598356819, + "loss": 3.0244, + "step": 1634 + }, + { + "epoch": 0.75, + "grad_norm": 1.545613028964107, + "learning_rate": 0.00015522131916349786, + "loss": 2.8882, + "step": 1635 + }, + { + "epoch": 0.75, + "grad_norm": 1.6877204259992578, + "learning_rate": 0.00015468356407530493, + "loss": 2.9623, + "step": 1636 + }, + { + "epoch": 0.75, + "grad_norm": 1.798094377562649, + "learning_rate": 0.00015414657160493217, + "loss": 2.9509, + "step": 1637 + }, + { + "epoch": 0.75, + "grad_norm": 1.6644244676181663, + "learning_rate": 0.00015361034293830673, + "loss": 2.8928, + "step": 1638 + }, + { + "epoch": 0.75, + "grad_norm": 1.4621880593737615, + "learning_rate": 0.00015307487925966844, + "loss": 2.9008, + "step": 1639 + }, + { + "epoch": 0.75, + "grad_norm": 1.358337526288481, + "learning_rate": 0.00015254018175156776, + "loss": 2.9265, + "step": 1640 + }, + { + "epoch": 0.75, + "grad_norm": 1.4840529064077292, + "learning_rate": 0.0001520062515948632, + "loss": 2.971, + "step": 1641 + }, + { + "epoch": 0.75, + "grad_norm": 1.5610152977931466, + "learning_rate": 0.0001514730899687189, + "loss": 2.802, + "step": 1642 + }, + { + "epoch": 0.75, + "grad_norm": 1.6841632970142366, + "learning_rate": 0.00015094069805060122, + "loss": 2.8862, + "step": 1643 + }, + { + "epoch": 0.75, + "grad_norm": 1.6855813547037304, + "learning_rate": 0.00015040907701627666, + "loss": 2.8757, + "step": 1644 + }, + { + "epoch": 0.75, + "grad_norm": 1.8803335736362743, + "learning_rate": 0.00014987822803980976, + "loss": 2.7767, + "step": 1645 + }, + { + "epoch": 0.75, + "grad_norm": 1.3900473671360671, + "learning_rate": 0.00014934815229355965, + "loss": 2.9385, + "step": 1646 + }, + { + "epoch": 0.76, + "grad_norm": 1.6285585480877767, + "learning_rate": 0.00014881885094817748, + "loss": 2.9041, + "step": 1647 + }, + { + "epoch": 0.76, + "grad_norm": 1.5059411693406595, + "learning_rate": 0.00014829032517260488, + "loss": 2.9726, + "step": 1648 + }, + { + "epoch": 0.76, + "grad_norm": 1.8445417361533605, + "learning_rate": 0.0001477625761340704, + "loss": 2.9602, + "step": 1649 + }, + { + "epoch": 0.76, + "grad_norm": 1.4517945894574233, + "learning_rate": 0.0001472356049980868, + "loss": 2.921, + "step": 1650 + }, + { + "epoch": 0.76, + "grad_norm": 1.4265980897705626, + "learning_rate": 0.00014670941292844954, + "loss": 2.875, + "step": 1651 + }, + { + "epoch": 0.76, + "grad_norm": 1.5326766220182233, + "learning_rate": 0.00014618400108723295, + "loss": 2.8267, + "step": 1652 + }, + { + "epoch": 0.76, + "grad_norm": 1.5068664458405445, + "learning_rate": 0.00014565937063478862, + "loss": 2.7897, + "step": 1653 + }, + { + "epoch": 0.76, + "grad_norm": 1.58435539745169, + "learning_rate": 0.00014513552272974207, + "loss": 2.8901, + "step": 1654 + }, + { + "epoch": 0.76, + "grad_norm": 1.5665403237314484, + "learning_rate": 0.0001446124585289913, + "loss": 2.8437, + "step": 1655 + }, + { + "epoch": 0.76, + "grad_norm": 1.586843478226266, + "learning_rate": 0.00014409017918770266, + "loss": 2.8545, + "step": 1656 + }, + { + "epoch": 0.76, + "grad_norm": 1.7496592215711018, + "learning_rate": 0.00014356868585930994, + "loss": 2.9694, + "step": 1657 + }, + { + "epoch": 0.76, + "grad_norm": 1.3959892592018024, + "learning_rate": 0.00014304797969551077, + "loss": 2.8241, + "step": 1658 + }, + { + "epoch": 0.76, + "grad_norm": 1.6125474060568383, + "learning_rate": 0.00014252806184626417, + "loss": 3.1002, + "step": 1659 + }, + { + "epoch": 0.76, + "grad_norm": 1.5450364026306962, + "learning_rate": 0.00014200893345978817, + "loss": 2.992, + "step": 1660 + }, + { + "epoch": 0.76, + "grad_norm": 1.5224512872551674, + "learning_rate": 0.00014149059568255778, + "loss": 2.9441, + "step": 1661 + }, + { + "epoch": 0.76, + "grad_norm": 1.5244098666709878, + "learning_rate": 0.00014097304965930157, + "loss": 2.8768, + "step": 1662 + }, + { + "epoch": 0.76, + "grad_norm": 1.4027130207903098, + "learning_rate": 0.00014045629653299953, + "loss": 3.0016, + "step": 1663 + }, + { + "epoch": 0.76, + "grad_norm": 1.7625494342293935, + "learning_rate": 0.00013994033744488076, + "loss": 2.9396, + "step": 1664 + }, + { + "epoch": 0.76, + "grad_norm": 1.683836826538522, + "learning_rate": 0.00013942517353442092, + "loss": 2.8211, + "step": 1665 + }, + { + "epoch": 0.76, + "grad_norm": 1.5839915076311049, + "learning_rate": 0.0001389108059393391, + "loss": 2.9157, + "step": 1666 + }, + { + "epoch": 0.76, + "grad_norm": 1.6747591079529167, + "learning_rate": 0.00013839723579559581, + "loss": 2.9708, + "step": 1667 + }, + { + "epoch": 0.77, + "grad_norm": 1.41812529521965, + "learning_rate": 0.00013788446423739103, + "loss": 2.8943, + "step": 1668 + }, + { + "epoch": 0.77, + "grad_norm": 1.580058782406527, + "learning_rate": 0.00013737249239716042, + "loss": 2.9412, + "step": 1669 + }, + { + "epoch": 0.77, + "grad_norm": 1.5134875188574084, + "learning_rate": 0.00013686132140557355, + "loss": 2.9541, + "step": 1670 + }, + { + "epoch": 0.77, + "grad_norm": 1.3745378742669694, + "learning_rate": 0.00013635095239153188, + "loss": 2.9256, + "step": 1671 + }, + { + "epoch": 0.77, + "grad_norm": 1.487168866451424, + "learning_rate": 0.00013584138648216527, + "loss": 2.9117, + "step": 1672 + }, + { + "epoch": 0.77, + "grad_norm": 1.7386917322542212, + "learning_rate": 0.0001353326248028298, + "loss": 2.9746, + "step": 1673 + }, + { + "epoch": 0.77, + "grad_norm": 1.5601361451958473, + "learning_rate": 0.00013482466847710594, + "loss": 2.9341, + "step": 1674 + }, + { + "epoch": 0.77, + "grad_norm": 1.5061068243284967, + "learning_rate": 0.00013431751862679554, + "loss": 2.9249, + "step": 1675 + }, + { + "epoch": 0.77, + "grad_norm": 1.513311050371285, + "learning_rate": 0.00013381117637191887, + "loss": 2.7799, + "step": 1676 + }, + { + "epoch": 0.77, + "grad_norm": 1.5111148602147533, + "learning_rate": 0.00013330564283071293, + "loss": 2.8092, + "step": 1677 + }, + { + "epoch": 0.77, + "grad_norm": 1.6107214341801916, + "learning_rate": 0.000132800919119629, + "loss": 2.8755, + "step": 1678 + }, + { + "epoch": 0.77, + "grad_norm": 1.509441281914715, + "learning_rate": 0.00013229700635332948, + "loss": 2.8738, + "step": 1679 + }, + { + "epoch": 0.77, + "grad_norm": 1.6536222625564403, + "learning_rate": 0.00013179390564468585, + "loss": 2.9368, + "step": 1680 + }, + { + "epoch": 0.77, + "grad_norm": 1.511809290433128, + "learning_rate": 0.00013129161810477641, + "loss": 2.9024, + "step": 1681 + }, + { + "epoch": 0.77, + "grad_norm": 1.5402014064134297, + "learning_rate": 0.0001307901448428837, + "loss": 2.8821, + "step": 1682 + }, + { + "epoch": 0.77, + "grad_norm": 1.5663699439805387, + "learning_rate": 0.0001302894869664916, + "loss": 2.9421, + "step": 1683 + }, + { + "epoch": 0.77, + "grad_norm": 1.576602894458502, + "learning_rate": 0.00012978964558128336, + "loss": 2.8685, + "step": 1684 + }, + { + "epoch": 0.77, + "grad_norm": 1.5108807180744428, + "learning_rate": 0.00012929062179113925, + "loss": 2.8077, + "step": 1685 + }, + { + "epoch": 0.77, + "grad_norm": 1.4045332348248678, + "learning_rate": 0.00012879241669813368, + "loss": 2.8314, + "step": 1686 + }, + { + "epoch": 0.77, + "grad_norm": 1.7210562594102605, + "learning_rate": 0.00012829503140253295, + "loss": 3.0356, + "step": 1687 + }, + { + "epoch": 0.77, + "grad_norm": 1.4940881488895021, + "learning_rate": 0.0001277984670027933, + "loss": 2.9574, + "step": 1688 + }, + { + "epoch": 0.77, + "grad_norm": 1.635521301159955, + "learning_rate": 0.00012730272459555737, + "loss": 2.9551, + "step": 1689 + }, + { + "epoch": 0.78, + "grad_norm": 1.3472973823519743, + "learning_rate": 0.00012680780527565312, + "loss": 2.8083, + "step": 1690 + }, + { + "epoch": 0.78, + "grad_norm": 1.5619240834880797, + "learning_rate": 0.0001263137101360905, + "loss": 2.7986, + "step": 1691 + }, + { + "epoch": 0.78, + "grad_norm": 1.529823045395325, + "learning_rate": 0.00012582044026805922, + "loss": 2.8773, + "step": 1692 + }, + { + "epoch": 0.78, + "grad_norm": 1.6592609098529698, + "learning_rate": 0.00012532799676092627, + "loss": 2.8762, + "step": 1693 + }, + { + "epoch": 0.78, + "grad_norm": 1.419089692060868, + "learning_rate": 0.00012483638070223414, + "loss": 2.9733, + "step": 1694 + }, + { + "epoch": 0.78, + "grad_norm": 1.6183634427750329, + "learning_rate": 0.00012434559317769752, + "loss": 2.9078, + "step": 1695 + }, + { + "epoch": 0.78, + "grad_norm": 1.516269599222086, + "learning_rate": 0.0001238556352712012, + "loss": 2.8798, + "step": 1696 + }, + { + "epoch": 0.78, + "grad_norm": 1.597625436196857, + "learning_rate": 0.00012336650806479827, + "loss": 2.9309, + "step": 1697 + }, + { + "epoch": 0.78, + "grad_norm": 1.478555242564991, + "learning_rate": 0.00012287821263870708, + "loss": 2.9219, + "step": 1698 + }, + { + "epoch": 0.78, + "grad_norm": 1.4110940840225143, + "learning_rate": 0.00012239075007130885, + "loss": 2.9342, + "step": 1699 + }, + { + "epoch": 0.78, + "grad_norm": 1.921132590916206, + "learning_rate": 0.00012190412143914536, + "loss": 2.7877, + "step": 1700 + }, + { + "epoch": 0.78, + "grad_norm": 1.5330436055352636, + "learning_rate": 0.0001214183278169172, + "loss": 2.7852, + "step": 1701 + }, + { + "epoch": 0.78, + "grad_norm": 1.539547454393412, + "learning_rate": 0.00012093337027748042, + "loss": 3.0024, + "step": 1702 + }, + { + "epoch": 0.78, + "grad_norm": 1.6121432009990502, + "learning_rate": 0.00012044924989184459, + "loss": 2.8892, + "step": 1703 + }, + { + "epoch": 0.78, + "grad_norm": 1.5427779147110452, + "learning_rate": 0.0001199659677291709, + "loss": 2.8706, + "step": 1704 + }, + { + "epoch": 0.78, + "grad_norm": 1.5452542751091647, + "learning_rate": 0.00011948352485676895, + "loss": 2.8838, + "step": 1705 + }, + { + "epoch": 0.78, + "grad_norm": 1.662179469165797, + "learning_rate": 0.00011900192234009477, + "loss": 2.9066, + "step": 1706 + }, + { + "epoch": 0.78, + "grad_norm": 1.6371713518535134, + "learning_rate": 0.00011852116124274875, + "loss": 2.8313, + "step": 1707 + }, + { + "epoch": 0.78, + "grad_norm": 1.4986332253826837, + "learning_rate": 0.00011804124262647314, + "loss": 2.8912, + "step": 1708 + }, + { + "epoch": 0.78, + "grad_norm": 1.7907160981281278, + "learning_rate": 0.00011756216755114929, + "loss": 2.815, + "step": 1709 + }, + { + "epoch": 0.78, + "grad_norm": 1.4984846145176856, + "learning_rate": 0.00011708393707479548, + "loss": 3.0168, + "step": 1710 + }, + { + "epoch": 0.78, + "grad_norm": 1.4514266005027268, + "learning_rate": 0.00011660655225356531, + "loss": 2.8368, + "step": 1711 + }, + { + "epoch": 0.79, + "grad_norm": 1.3877687990874763, + "learning_rate": 0.0001161300141417444, + "loss": 2.8961, + "step": 1712 + }, + { + "epoch": 0.79, + "grad_norm": 1.8380167903296862, + "learning_rate": 0.00011565432379174823, + "loss": 2.9601, + "step": 1713 + }, + { + "epoch": 0.79, + "grad_norm": 1.5126775314023262, + "learning_rate": 0.00011517948225412056, + "loss": 2.9045, + "step": 1714 + }, + { + "epoch": 0.79, + "grad_norm": 1.527232630994529, + "learning_rate": 0.00011470549057753032, + "loss": 2.9585, + "step": 1715 + }, + { + "epoch": 0.79, + "grad_norm": 1.5798740086888097, + "learning_rate": 0.00011423234980876957, + "loss": 2.9607, + "step": 1716 + }, + { + "epoch": 0.79, + "grad_norm": 1.4461310825360298, + "learning_rate": 0.00011376006099275099, + "loss": 2.8605, + "step": 1717 + }, + { + "epoch": 0.79, + "grad_norm": 1.499385623515957, + "learning_rate": 0.00011328862517250609, + "loss": 2.9519, + "step": 1718 + }, + { + "epoch": 0.79, + "grad_norm": 1.9586181778001877, + "learning_rate": 0.00011281804338918239, + "loss": 2.8806, + "step": 1719 + }, + { + "epoch": 0.79, + "grad_norm": 1.709820096488973, + "learning_rate": 0.00011234831668204115, + "loss": 2.8707, + "step": 1720 + }, + { + "epoch": 0.79, + "grad_norm": 1.6331323045655075, + "learning_rate": 0.00011187944608845569, + "loss": 2.872, + "step": 1721 + }, + { + "epoch": 0.79, + "grad_norm": 1.8863662970276862, + "learning_rate": 0.00011141143264390801, + "loss": 2.8942, + "step": 1722 + }, + { + "epoch": 0.79, + "grad_norm": 1.445568514081014, + "learning_rate": 0.0001109442773819877, + "loss": 2.8552, + "step": 1723 + }, + { + "epoch": 0.79, + "grad_norm": 1.592066482222681, + "learning_rate": 0.0001104779813343889, + "loss": 2.8929, + "step": 1724 + }, + { + "epoch": 0.79, + "grad_norm": 1.5415136031664014, + "learning_rate": 0.00011001254553090812, + "loss": 2.9044, + "step": 1725 + }, + { + "epoch": 0.79, + "grad_norm": 1.6010988799443686, + "learning_rate": 0.00010954797099944186, + "loss": 2.9785, + "step": 1726 + }, + { + "epoch": 0.79, + "grad_norm": 1.548698993031613, + "learning_rate": 0.0001090842587659851, + "loss": 2.8443, + "step": 1727 + }, + { + "epoch": 0.79, + "grad_norm": 1.6164203368317187, + "learning_rate": 0.00010862140985462804, + "loss": 2.9396, + "step": 1728 + }, + { + "epoch": 0.79, + "grad_norm": 1.9225816880260593, + "learning_rate": 0.00010815942528755418, + "loss": 2.8465, + "step": 1729 + }, + { + "epoch": 0.79, + "grad_norm": 1.695252599829415, + "learning_rate": 0.00010769830608503844, + "loss": 2.9456, + "step": 1730 + }, + { + "epoch": 0.79, + "grad_norm": 1.5419947754298884, + "learning_rate": 0.00010723805326544473, + "loss": 2.8972, + "step": 1731 + }, + { + "epoch": 0.79, + "grad_norm": 1.6999706416241236, + "learning_rate": 0.00010677866784522316, + "loss": 2.937, + "step": 1732 + }, + { + "epoch": 0.79, + "grad_norm": 1.87491038759697, + "learning_rate": 0.00010632015083890839, + "loss": 2.8191, + "step": 1733 + }, + { + "epoch": 0.8, + "grad_norm": 1.8629223548362634, + "learning_rate": 0.00010586250325911745, + "loss": 3.0387, + "step": 1734 + }, + { + "epoch": 0.8, + "grad_norm": 1.5335312884310106, + "learning_rate": 0.00010540572611654697, + "loss": 2.9246, + "step": 1735 + }, + { + "epoch": 0.8, + "grad_norm": 1.752769651710078, + "learning_rate": 0.00010494982041997126, + "loss": 2.9615, + "step": 1736 + }, + { + "epoch": 0.8, + "grad_norm": 2.1028067970488884, + "learning_rate": 0.0001044947871762405, + "loss": 2.9539, + "step": 1737 + }, + { + "epoch": 0.8, + "grad_norm": 1.6767359413207843, + "learning_rate": 0.00010404062739027753, + "loss": 2.9569, + "step": 1738 + }, + { + "epoch": 0.8, + "grad_norm": 1.583568345217933, + "learning_rate": 0.00010358734206507641, + "loss": 2.9653, + "step": 1739 + }, + { + "epoch": 0.8, + "grad_norm": 1.514755687555455, + "learning_rate": 0.00010313493220170017, + "loss": 2.8421, + "step": 1740 + }, + { + "epoch": 0.8, + "grad_norm": 1.6080656389959587, + "learning_rate": 0.00010268339879927836, + "loss": 2.8244, + "step": 1741 + }, + { + "epoch": 0.8, + "grad_norm": 1.614028777725661, + "learning_rate": 0.00010223274285500466, + "loss": 2.8707, + "step": 1742 + }, + { + "epoch": 0.8, + "grad_norm": 1.8260915989587525, + "learning_rate": 0.00010178296536413495, + "loss": 2.9182, + "step": 1743 + }, + { + "epoch": 0.8, + "grad_norm": 1.6750020476693457, + "learning_rate": 0.00010133406731998546, + "loss": 2.8792, + "step": 1744 + }, + { + "epoch": 0.8, + "grad_norm": 1.5352557401713172, + "learning_rate": 0.00010088604971392979, + "loss": 2.8707, + "step": 1745 + }, + { + "epoch": 0.8, + "grad_norm": 1.7243450429274425, + "learning_rate": 0.0001004389135353972, + "loss": 2.8954, + "step": 1746 + }, + { + "epoch": 0.8, + "grad_norm": 1.7043794793147335, + "learning_rate": 9.999265977187049e-05, + "loss": 2.9321, + "step": 1747 + }, + { + "epoch": 0.8, + "grad_norm": 1.6714793126213972, + "learning_rate": 9.95472894088838e-05, + "loss": 2.9256, + "step": 1748 + }, + { + "epoch": 0.8, + "grad_norm": 1.5300341619993458, + "learning_rate": 9.910280343001993e-05, + "loss": 2.8286, + "step": 1749 + }, + { + "epoch": 0.8, + "grad_norm": 1.3575088995880071, + "learning_rate": 9.865920281690866e-05, + "loss": 2.862, + "step": 1750 + }, + { + "epoch": 0.8, + "grad_norm": 1.5453272322241085, + "learning_rate": 9.821648854922482e-05, + "loss": 2.8941, + "step": 1751 + }, + { + "epoch": 0.8, + "grad_norm": 1.750629370964988, + "learning_rate": 9.77746616046854e-05, + "loss": 2.8958, + "step": 1752 + }, + { + "epoch": 0.8, + "grad_norm": 1.4757326829297304, + "learning_rate": 9.733372295904774e-05, + "loss": 3.0011, + "step": 1753 + }, + { + "epoch": 0.8, + "grad_norm": 1.6956442097159874, + "learning_rate": 9.68936735861079e-05, + "loss": 2.9447, + "step": 1754 + }, + { + "epoch": 0.8, + "grad_norm": 1.580154417548426, + "learning_rate": 9.645451445769737e-05, + "loss": 3.089, + "step": 1755 + }, + { + "epoch": 0.81, + "grad_norm": 1.6635383634424994, + "learning_rate": 9.601624654368196e-05, + "loss": 2.8492, + "step": 1756 + }, + { + "epoch": 0.81, + "grad_norm": 1.5738361122052533, + "learning_rate": 9.557887081195938e-05, + "loss": 2.8009, + "step": 1757 + }, + { + "epoch": 0.81, + "grad_norm": 1.8646360887831783, + "learning_rate": 9.514238822845667e-05, + "loss": 3.0324, + "step": 1758 + }, + { + "epoch": 0.81, + "grad_norm": 1.586247013285444, + "learning_rate": 9.470679975712837e-05, + "loss": 2.8533, + "step": 1759 + }, + { + "epoch": 0.81, + "grad_norm": 1.613815399473487, + "learning_rate": 9.427210635995481e-05, + "loss": 2.8503, + "step": 1760 + }, + { + "epoch": 0.81, + "grad_norm": 1.7137368654002059, + "learning_rate": 9.383830899693923e-05, + "loss": 2.867, + "step": 1761 + }, + { + "epoch": 0.81, + "grad_norm": 1.5334860183348806, + "learning_rate": 9.340540862610591e-05, + "loss": 2.8407, + "step": 1762 + }, + { + "epoch": 0.81, + "grad_norm": 1.601787332688766, + "learning_rate": 9.297340620349854e-05, + "loss": 2.9719, + "step": 1763 + }, + { + "epoch": 0.81, + "grad_norm": 1.5250007401888728, + "learning_rate": 9.25423026831777e-05, + "loss": 2.9208, + "step": 1764 + }, + { + "epoch": 0.81, + "grad_norm": 1.3900540110200232, + "learning_rate": 9.211209901721846e-05, + "loss": 2.8442, + "step": 1765 + }, + { + "epoch": 0.81, + "grad_norm": 1.6844990110018245, + "learning_rate": 9.168279615570863e-05, + "loss": 2.8239, + "step": 1766 + }, + { + "epoch": 0.81, + "grad_norm": 1.4587256157588673, + "learning_rate": 9.125439504674699e-05, + "loss": 2.9497, + "step": 1767 + }, + { + "epoch": 0.81, + "grad_norm": 1.3959046856506658, + "learning_rate": 9.082689663644057e-05, + "loss": 2.8657, + "step": 1768 + }, + { + "epoch": 0.81, + "grad_norm": 1.5826517891517, + "learning_rate": 9.040030186890264e-05, + "loss": 2.8274, + "step": 1769 + }, + { + "epoch": 0.81, + "grad_norm": 1.4781139148736993, + "learning_rate": 8.997461168625138e-05, + "loss": 2.9306, + "step": 1770 + }, + { + "epoch": 0.81, + "grad_norm": 1.6190752880979076, + "learning_rate": 8.954982702860664e-05, + "loss": 2.9977, + "step": 1771 + }, + { + "epoch": 0.81, + "grad_norm": 1.4755709140197775, + "learning_rate": 8.912594883408865e-05, + "loss": 2.8362, + "step": 1772 + }, + { + "epoch": 0.81, + "grad_norm": 1.5890228290030042, + "learning_rate": 8.870297803881589e-05, + "loss": 2.9632, + "step": 1773 + }, + { + "epoch": 0.81, + "grad_norm": 1.6943884902662936, + "learning_rate": 8.828091557690287e-05, + "loss": 2.876, + "step": 1774 + }, + { + "epoch": 0.81, + "grad_norm": 1.4856510369826468, + "learning_rate": 8.785976238045801e-05, + "loss": 2.8697, + "step": 1775 + }, + { + "epoch": 0.81, + "grad_norm": 1.5433221480253105, + "learning_rate": 8.743951937958144e-05, + "loss": 2.7984, + "step": 1776 + }, + { + "epoch": 0.82, + "grad_norm": 1.5224457354670955, + "learning_rate": 8.702018750236357e-05, + "loss": 2.9615, + "step": 1777 + }, + { + "epoch": 0.82, + "grad_norm": 1.5597501652803716, + "learning_rate": 8.660176767488237e-05, + "loss": 2.931, + "step": 1778 + }, + { + "epoch": 0.82, + "grad_norm": 1.5722093616683257, + "learning_rate": 8.618426082120146e-05, + "loss": 2.8732, + "step": 1779 + }, + { + "epoch": 0.82, + "grad_norm": 1.51975880899728, + "learning_rate": 8.576766786336854e-05, + "loss": 2.8118, + "step": 1780 + }, + { + "epoch": 0.82, + "grad_norm": 1.512074761380704, + "learning_rate": 8.535198972141294e-05, + "loss": 2.8316, + "step": 1781 + }, + { + "epoch": 0.82, + "grad_norm": 1.4959274026481508, + "learning_rate": 8.493722731334347e-05, + "loss": 2.8902, + "step": 1782 + }, + { + "epoch": 0.82, + "grad_norm": 1.6555416336207913, + "learning_rate": 8.452338155514644e-05, + "loss": 2.9818, + "step": 1783 + }, + { + "epoch": 0.82, + "grad_norm": 1.5901052154532949, + "learning_rate": 8.411045336078426e-05, + "loss": 2.9397, + "step": 1784 + }, + { + "epoch": 0.82, + "grad_norm": 1.5764190413410712, + "learning_rate": 8.369844364219264e-05, + "loss": 2.9789, + "step": 1785 + }, + { + "epoch": 0.82, + "grad_norm": 1.5951642266867696, + "learning_rate": 8.328735330927873e-05, + "loss": 2.9014, + "step": 1786 + }, + { + "epoch": 0.82, + "grad_norm": 1.4422853720723146, + "learning_rate": 8.287718326991961e-05, + "loss": 2.8608, + "step": 1787 + }, + { + "epoch": 0.82, + "grad_norm": 1.4343996398897358, + "learning_rate": 8.246793442995954e-05, + "loss": 2.9919, + "step": 1788 + }, + { + "epoch": 0.82, + "grad_norm": 1.5862216339296258, + "learning_rate": 8.205960769320875e-05, + "loss": 2.898, + "step": 1789 + }, + { + "epoch": 0.82, + "grad_norm": 1.4328021282398504, + "learning_rate": 8.165220396144085e-05, + "loss": 2.8186, + "step": 1790 + }, + { + "epoch": 0.82, + "grad_norm": 1.916942656429615, + "learning_rate": 8.12457241343909e-05, + "loss": 3.0028, + "step": 1791 + }, + { + "epoch": 0.82, + "grad_norm": 1.4553769353501413, + "learning_rate": 8.084016910975367e-05, + "loss": 2.8874, + "step": 1792 + }, + { + "epoch": 0.82, + "grad_norm": 1.4799805568806625, + "learning_rate": 8.043553978318169e-05, + "loss": 2.8345, + "step": 1793 + }, + { + "epoch": 0.82, + "grad_norm": 1.5837950018161324, + "learning_rate": 8.003183704828281e-05, + "loss": 2.8932, + "step": 1794 + }, + { + "epoch": 0.82, + "grad_norm": 1.5443321586115653, + "learning_rate": 7.962906179661872e-05, + "loss": 2.927, + "step": 1795 + }, + { + "epoch": 0.82, + "grad_norm": 1.5221482226062086, + "learning_rate": 7.922721491770296e-05, + "loss": 2.881, + "step": 1796 + }, + { + "epoch": 0.82, + "grad_norm": 1.7582933354007764, + "learning_rate": 7.882629729899832e-05, + "loss": 2.9287, + "step": 1797 + }, + { + "epoch": 0.82, + "grad_norm": 1.5589560707685162, + "learning_rate": 7.842630982591598e-05, + "loss": 2.8217, + "step": 1798 + }, + { + "epoch": 0.83, + "grad_norm": 1.604478320749652, + "learning_rate": 7.802725338181232e-05, + "loss": 2.8382, + "step": 1799 + }, + { + "epoch": 0.83, + "grad_norm": 1.86252010602163, + "learning_rate": 7.762912884798812e-05, + "loss": 2.911, + "step": 1800 + }, + { + "epoch": 0.83, + "grad_norm": 1.6849111218115989, + "learning_rate": 7.723193710368564e-05, + "loss": 2.9376, + "step": 1801 + }, + { + "epoch": 0.83, + "grad_norm": 1.4083371334004482, + "learning_rate": 7.683567902608729e-05, + "loss": 2.7512, + "step": 1802 + }, + { + "epoch": 0.83, + "grad_norm": 1.4270790964847921, + "learning_rate": 7.644035549031364e-05, + "loss": 2.9882, + "step": 1803 + }, + { + "epoch": 0.83, + "grad_norm": 1.4720457988638307, + "learning_rate": 7.604596736942115e-05, + "loss": 2.8556, + "step": 1804 + }, + { + "epoch": 0.83, + "grad_norm": 1.6295745081018895, + "learning_rate": 7.56525155344004e-05, + "loss": 2.8981, + "step": 1805 + }, + { + "epoch": 0.83, + "grad_norm": 1.482797567407719, + "learning_rate": 7.52600008541745e-05, + "loss": 2.8622, + "step": 1806 + }, + { + "epoch": 0.83, + "grad_norm": 1.5472292629387696, + "learning_rate": 7.486842419559681e-05, + "loss": 2.9227, + "step": 1807 + }, + { + "epoch": 0.83, + "grad_norm": 1.499925742939567, + "learning_rate": 7.447778642344898e-05, + "loss": 2.8359, + "step": 1808 + }, + { + "epoch": 0.83, + "grad_norm": 1.6402100687282821, + "learning_rate": 7.408808840043912e-05, + "loss": 2.8942, + "step": 1809 + }, + { + "epoch": 0.83, + "grad_norm": 1.522510041279581, + "learning_rate": 7.369933098720021e-05, + "loss": 2.8899, + "step": 1810 + }, + { + "epoch": 0.83, + "grad_norm": 1.4620778048315748, + "learning_rate": 7.331151504228767e-05, + "loss": 2.8613, + "step": 1811 + }, + { + "epoch": 0.83, + "grad_norm": 1.498677822478166, + "learning_rate": 7.292464142217775e-05, + "loss": 2.8878, + "step": 1812 + }, + { + "epoch": 0.83, + "grad_norm": 1.535613202371982, + "learning_rate": 7.25387109812658e-05, + "loss": 2.8274, + "step": 1813 + }, + { + "epoch": 0.83, + "grad_norm": 1.4909453128339663, + "learning_rate": 7.215372457186415e-05, + "loss": 2.8555, + "step": 1814 + }, + { + "epoch": 0.83, + "grad_norm": 1.5201709298426886, + "learning_rate": 7.176968304420007e-05, + "loss": 2.9086, + "step": 1815 + }, + { + "epoch": 0.83, + "grad_norm": 1.656264295835627, + "learning_rate": 7.138658724641417e-05, + "loss": 2.8703, + "step": 1816 + }, + { + "epoch": 0.83, + "grad_norm": 1.59601993654129, + "learning_rate": 7.10044380245587e-05, + "loss": 2.8112, + "step": 1817 + }, + { + "epoch": 0.83, + "grad_norm": 1.7250745754176193, + "learning_rate": 7.062323622259515e-05, + "loss": 2.8181, + "step": 1818 + }, + { + "epoch": 0.83, + "grad_norm": 1.4668213758759916, + "learning_rate": 7.024298268239265e-05, + "loss": 2.8121, + "step": 1819 + }, + { + "epoch": 0.83, + "grad_norm": 1.4748749603744966, + "learning_rate": 6.986367824372647e-05, + "loss": 2.8769, + "step": 1820 + }, + { + "epoch": 0.84, + "grad_norm": 1.494189055651729, + "learning_rate": 6.948532374427541e-05, + "loss": 2.9045, + "step": 1821 + }, + { + "epoch": 0.84, + "grad_norm": 1.5153048261701998, + "learning_rate": 6.910792001962063e-05, + "loss": 2.9405, + "step": 1822 + }, + { + "epoch": 0.84, + "grad_norm": 1.7762403318426678, + "learning_rate": 6.873146790324358e-05, + "loss": 2.9055, + "step": 1823 + }, + { + "epoch": 0.84, + "grad_norm": 1.6758371577436613, + "learning_rate": 6.83559682265239e-05, + "loss": 2.9042, + "step": 1824 + }, + { + "epoch": 0.84, + "grad_norm": 1.4786961518349315, + "learning_rate": 6.798142181873784e-05, + "loss": 2.8226, + "step": 1825 + }, + { + "epoch": 0.84, + "grad_norm": 1.629376345340511, + "learning_rate": 6.760782950705662e-05, + "loss": 2.9135, + "step": 1826 + }, + { + "epoch": 0.84, + "grad_norm": 1.4432958040428752, + "learning_rate": 6.723519211654422e-05, + "loss": 2.8737, + "step": 1827 + }, + { + "epoch": 0.84, + "grad_norm": 1.6741254058441817, + "learning_rate": 6.686351047015554e-05, + "loss": 2.8852, + "step": 1828 + }, + { + "epoch": 0.84, + "grad_norm": 1.5973863740397851, + "learning_rate": 6.649278538873515e-05, + "loss": 2.762, + "step": 1829 + }, + { + "epoch": 0.84, + "grad_norm": 1.752194994052514, + "learning_rate": 6.612301769101465e-05, + "loss": 2.9257, + "step": 1830 + }, + { + "epoch": 0.84, + "grad_norm": 1.6075070947743555, + "learning_rate": 6.575420819361177e-05, + "loss": 3.033, + "step": 1831 + }, + { + "epoch": 0.84, + "grad_norm": 1.5822134977214013, + "learning_rate": 6.538635771102757e-05, + "loss": 2.7738, + "step": 1832 + }, + { + "epoch": 0.84, + "grad_norm": 1.556733784583965, + "learning_rate": 6.501946705564566e-05, + "loss": 2.976, + "step": 1833 + }, + { + "epoch": 0.84, + "grad_norm": 1.7001810851066954, + "learning_rate": 6.465353703772959e-05, + "loss": 2.7998, + "step": 1834 + }, + { + "epoch": 0.84, + "grad_norm": 1.6492738212971598, + "learning_rate": 6.428856846542136e-05, + "loss": 2.9037, + "step": 1835 + }, + { + "epoch": 0.84, + "grad_norm": 1.5094249447202255, + "learning_rate": 6.392456214473996e-05, + "loss": 2.8655, + "step": 1836 + }, + { + "epoch": 0.84, + "grad_norm": 1.4686601097895335, + "learning_rate": 6.3561518879579e-05, + "loss": 2.8018, + "step": 1837 + }, + { + "epoch": 0.84, + "grad_norm": 1.6531922117325164, + "learning_rate": 6.31994394717052e-05, + "loss": 2.8126, + "step": 1838 + }, + { + "epoch": 0.84, + "grad_norm": 1.5296319490719477, + "learning_rate": 6.283832472075685e-05, + "loss": 2.8901, + "step": 1839 + }, + { + "epoch": 0.84, + "grad_norm": 1.84921694223044, + "learning_rate": 6.247817542424178e-05, + "loss": 2.9112, + "step": 1840 + }, + { + "epoch": 0.84, + "grad_norm": 1.4810860342576364, + "learning_rate": 6.211899237753559e-05, + "loss": 2.8711, + "step": 1841 + }, + { + "epoch": 0.84, + "grad_norm": 1.5411639902023009, + "learning_rate": 6.176077637387984e-05, + "loss": 2.8673, + "step": 1842 + }, + { + "epoch": 0.85, + "grad_norm": 1.557524200649555, + "learning_rate": 6.140352820438066e-05, + "loss": 2.7863, + "step": 1843 + }, + { + "epoch": 0.85, + "grad_norm": 1.4569316982027463, + "learning_rate": 6.104724865800665e-05, + "loss": 2.8116, + "step": 1844 + }, + { + "epoch": 0.85, + "grad_norm": 1.5223772558892077, + "learning_rate": 6.069193852158711e-05, + "loss": 2.8607, + "step": 1845 + }, + { + "epoch": 0.85, + "grad_norm": 1.517418969764908, + "learning_rate": 6.0337598579810584e-05, + "loss": 2.8424, + "step": 1846 + }, + { + "epoch": 0.85, + "grad_norm": 1.476092469710869, + "learning_rate": 5.9984229615223096e-05, + "loss": 2.8002, + "step": 1847 + }, + { + "epoch": 0.85, + "grad_norm": 1.4433105903349785, + "learning_rate": 5.963183240822606e-05, + "loss": 2.8389, + "step": 1848 + }, + { + "epoch": 0.85, + "grad_norm": 1.6227524752055447, + "learning_rate": 5.9280407737074825e-05, + "loss": 2.8017, + "step": 1849 + }, + { + "epoch": 0.85, + "grad_norm": 1.6486016784230564, + "learning_rate": 5.8929956377877125e-05, + "loss": 2.8678, + "step": 1850 + }, + { + "epoch": 0.85, + "grad_norm": 1.7070901937002474, + "learning_rate": 5.8580479104591075e-05, + "loss": 2.8817, + "step": 1851 + }, + { + "epoch": 0.85, + "grad_norm": 1.50319688780993, + "learning_rate": 5.823197668902341e-05, + "loss": 2.8681, + "step": 1852 + }, + { + "epoch": 0.85, + "grad_norm": 1.5415952198177345, + "learning_rate": 5.78844499008282e-05, + "loss": 2.8225, + "step": 1853 + }, + { + "epoch": 0.85, + "grad_norm": 1.4689243324365235, + "learning_rate": 5.753789950750454e-05, + "loss": 2.8637, + "step": 1854 + }, + { + "epoch": 0.85, + "grad_norm": 1.5731608084272992, + "learning_rate": 5.719232627439558e-05, + "loss": 2.8949, + "step": 1855 + }, + { + "epoch": 0.85, + "grad_norm": 1.8251546849420626, + "learning_rate": 5.6847730964686315e-05, + "loss": 2.7629, + "step": 1856 + }, + { + "epoch": 0.85, + "grad_norm": 1.4153011515317018, + "learning_rate": 5.650411433940189e-05, + "loss": 2.9016, + "step": 1857 + }, + { + "epoch": 0.85, + "grad_norm": 1.6414133740035526, + "learning_rate": 5.61614771574061e-05, + "loss": 2.8179, + "step": 1858 + }, + { + "epoch": 0.85, + "grad_norm": 1.4252898078090077, + "learning_rate": 5.581982017539988e-05, + "loss": 2.7409, + "step": 1859 + }, + { + "epoch": 0.85, + "grad_norm": 1.639276747299036, + "learning_rate": 5.5479144147919216e-05, + "loss": 2.8191, + "step": 1860 + }, + { + "epoch": 0.85, + "grad_norm": 1.541247695456947, + "learning_rate": 5.51394498273336e-05, + "loss": 2.8638, + "step": 1861 + }, + { + "epoch": 0.85, + "grad_norm": 1.53610585145542, + "learning_rate": 5.480073796384494e-05, + "loss": 3.003, + "step": 1862 + }, + { + "epoch": 0.85, + "grad_norm": 1.8138312126123657, + "learning_rate": 5.446300930548492e-05, + "loss": 3.0234, + "step": 1863 + }, + { + "epoch": 0.85, + "grad_norm": 1.4772925447902598, + "learning_rate": 5.412626459811415e-05, + "loss": 2.7702, + "step": 1864 + }, + { + "epoch": 0.86, + "grad_norm": 1.7512370125433259, + "learning_rate": 5.3790504585419954e-05, + "loss": 2.8575, + "step": 1865 + }, + { + "epoch": 0.86, + "grad_norm": 1.5368114321265638, + "learning_rate": 5.345573000891541e-05, + "loss": 2.7417, + "step": 1866 + }, + { + "epoch": 0.86, + "grad_norm": 1.6230339112708894, + "learning_rate": 5.312194160793693e-05, + "loss": 2.8127, + "step": 1867 + }, + { + "epoch": 0.86, + "grad_norm": 1.4613110317547824, + "learning_rate": 5.278914011964303e-05, + "loss": 2.9001, + "step": 1868 + }, + { + "epoch": 0.86, + "grad_norm": 1.5618183234348069, + "learning_rate": 5.2457326279013006e-05, + "loss": 2.9038, + "step": 1869 + }, + { + "epoch": 0.86, + "grad_norm": 1.413146477749218, + "learning_rate": 5.2126500818844514e-05, + "loss": 3.0586, + "step": 1870 + }, + { + "epoch": 0.86, + "grad_norm": 1.4989489102698013, + "learning_rate": 5.1796664469752566e-05, + "loss": 2.9331, + "step": 1871 + }, + { + "epoch": 0.86, + "grad_norm": 1.4093705683081048, + "learning_rate": 5.1467817960167975e-05, + "loss": 2.8642, + "step": 1872 + }, + { + "epoch": 0.86, + "grad_norm": 1.4148995528934127, + "learning_rate": 5.113996201633536e-05, + "loss": 2.9434, + "step": 1873 + }, + { + "epoch": 0.86, + "grad_norm": 1.4801907749319303, + "learning_rate": 5.0813097362311765e-05, + "loss": 2.8668, + "step": 1874 + }, + { + "epoch": 0.86, + "grad_norm": 1.4634891540791295, + "learning_rate": 5.048722471996475e-05, + "loss": 2.7984, + "step": 1875 + }, + { + "epoch": 0.86, + "grad_norm": 1.7444522716248454, + "learning_rate": 5.016234480897158e-05, + "loss": 2.9055, + "step": 1876 + }, + { + "epoch": 0.86, + "grad_norm": 1.577587245942577, + "learning_rate": 4.9838458346816664e-05, + "loss": 2.8187, + "step": 1877 + }, + { + "epoch": 0.86, + "grad_norm": 1.3948486769620996, + "learning_rate": 4.9515566048790485e-05, + "loss": 2.8439, + "step": 1878 + }, + { + "epoch": 0.86, + "grad_norm": 1.6049171128436577, + "learning_rate": 4.9193668627988074e-05, + "loss": 2.8086, + "step": 1879 + }, + { + "epoch": 0.86, + "grad_norm": 1.3448340431392578, + "learning_rate": 4.887276679530744e-05, + "loss": 2.8375, + "step": 1880 + }, + { + "epoch": 0.86, + "grad_norm": 1.4165474865728367, + "learning_rate": 4.855286125944752e-05, + "loss": 2.8546, + "step": 1881 + }, + { + "epoch": 0.86, + "grad_norm": 1.4808983108650835, + "learning_rate": 4.8233952726907224e-05, + "loss": 2.9539, + "step": 1882 + }, + { + "epoch": 0.86, + "grad_norm": 1.7205035863913096, + "learning_rate": 4.7916041901983565e-05, + "loss": 2.899, + "step": 1883 + }, + { + "epoch": 0.86, + "grad_norm": 1.5726145137994478, + "learning_rate": 4.7599129486770145e-05, + "loss": 2.8537, + "step": 1884 + }, + { + "epoch": 0.86, + "grad_norm": 1.6294004036349703, + "learning_rate": 4.728321618115555e-05, + "loss": 2.823, + "step": 1885 + }, + { + "epoch": 0.87, + "grad_norm": 1.7174207138593391, + "learning_rate": 4.696830268282204e-05, + "loss": 2.8472, + "step": 1886 + }, + { + "epoch": 0.87, + "grad_norm": 1.4887318047028357, + "learning_rate": 4.665438968724361e-05, + "loss": 2.9178, + "step": 1887 + }, + { + "epoch": 0.87, + "grad_norm": 1.762551472676163, + "learning_rate": 4.634147788768489e-05, + "loss": 2.8688, + "step": 1888 + }, + { + "epoch": 0.87, + "grad_norm": 1.568662368646745, + "learning_rate": 4.6029567975199414e-05, + "loss": 2.963, + "step": 1889 + }, + { + "epoch": 0.87, + "grad_norm": 1.627716399498809, + "learning_rate": 4.571866063862795e-05, + "loss": 2.8779, + "step": 1890 + }, + { + "epoch": 0.87, + "grad_norm": 1.6283660983674033, + "learning_rate": 4.540875656459703e-05, + "loss": 3.0344, + "step": 1891 + }, + { + "epoch": 0.87, + "grad_norm": 1.433438226855833, + "learning_rate": 4.509985643751785e-05, + "loss": 2.8518, + "step": 1892 + }, + { + "epoch": 0.87, + "grad_norm": 1.6750444348323519, + "learning_rate": 4.479196093958421e-05, + "loss": 2.8586, + "step": 1893 + }, + { + "epoch": 0.87, + "grad_norm": 1.8632111929048816, + "learning_rate": 4.4485070750771187e-05, + "loss": 2.9819, + "step": 1894 + }, + { + "epoch": 0.87, + "grad_norm": 1.754871370851778, + "learning_rate": 4.417918654883363e-05, + "loss": 2.8565, + "step": 1895 + }, + { + "epoch": 0.87, + "grad_norm": 1.7795978374284736, + "learning_rate": 4.3874309009305e-05, + "loss": 2.8643, + "step": 1896 + }, + { + "epoch": 0.87, + "grad_norm": 1.689065454302286, + "learning_rate": 4.357043880549538e-05, + "loss": 3.0176, + "step": 1897 + }, + { + "epoch": 0.87, + "grad_norm": 1.569837511850935, + "learning_rate": 4.326757660849012e-05, + "loss": 2.9608, + "step": 1898 + }, + { + "epoch": 0.87, + "grad_norm": 1.512823988192231, + "learning_rate": 4.2965723087148635e-05, + "loss": 2.9018, + "step": 1899 + }, + { + "epoch": 0.87, + "grad_norm": 1.674394260776728, + "learning_rate": 4.266487890810256e-05, + "loss": 2.837, + "step": 1900 + }, + { + "epoch": 0.87, + "grad_norm": 1.651298085123302, + "learning_rate": 4.2365044735754365e-05, + "loss": 2.7942, + "step": 1901 + }, + { + "epoch": 0.87, + "grad_norm": 1.7036648094975293, + "learning_rate": 4.2066221232276266e-05, + "loss": 2.8339, + "step": 1902 + }, + { + "epoch": 0.87, + "grad_norm": 1.4514830661132014, + "learning_rate": 4.176840905760815e-05, + "loss": 2.8008, + "step": 1903 + }, + { + "epoch": 0.87, + "grad_norm": 1.5864857015502518, + "learning_rate": 4.1471608869456443e-05, + "loss": 2.7599, + "step": 1904 + }, + { + "epoch": 0.87, + "grad_norm": 1.4303070669298903, + "learning_rate": 4.117582132329284e-05, + "loss": 2.9616, + "step": 1905 + }, + { + "epoch": 0.87, + "grad_norm": 1.4500413183702718, + "learning_rate": 4.088104707235263e-05, + "loss": 2.8833, + "step": 1906 + }, + { + "epoch": 0.87, + "grad_norm": 1.502405318668058, + "learning_rate": 4.058728676763313e-05, + "loss": 2.9672, + "step": 1907 + }, + { + "epoch": 0.88, + "grad_norm": 1.5564876329609305, + "learning_rate": 4.0294541057892375e-05, + "loss": 2.8747, + "step": 1908 + }, + { + "epoch": 0.88, + "grad_norm": 1.4639933889950005, + "learning_rate": 4.000281058964794e-05, + "loss": 2.8516, + "step": 1909 + }, + { + "epoch": 0.88, + "grad_norm": 1.499868969921477, + "learning_rate": 3.971209600717507e-05, + "loss": 2.7715, + "step": 1910 + }, + { + "epoch": 0.88, + "grad_norm": 1.5111586814901425, + "learning_rate": 3.9422397952505465e-05, + "loss": 2.7541, + "step": 1911 + }, + { + "epoch": 0.88, + "grad_norm": 1.5944294250275566, + "learning_rate": 3.913371706542596e-05, + "loss": 2.9425, + "step": 1912 + }, + { + "epoch": 0.88, + "grad_norm": 1.5580275423783787, + "learning_rate": 3.884605398347707e-05, + "loss": 2.7524, + "step": 1913 + }, + { + "epoch": 0.88, + "grad_norm": 1.683905020645839, + "learning_rate": 3.8559409341951456e-05, + "loss": 2.9666, + "step": 1914 + }, + { + "epoch": 0.88, + "grad_norm": 1.6377212468045117, + "learning_rate": 3.8273783773892404e-05, + "loss": 2.9577, + "step": 1915 + }, + { + "epoch": 0.88, + "grad_norm": 1.5323690846454083, + "learning_rate": 3.798917791009293e-05, + "loss": 2.8446, + "step": 1916 + }, + { + "epoch": 0.88, + "grad_norm": 1.4311362470289313, + "learning_rate": 3.770559237909393e-05, + "loss": 2.8404, + "step": 1917 + }, + { + "epoch": 0.88, + "grad_norm": 1.5328544761255127, + "learning_rate": 3.742302780718288e-05, + "loss": 2.8188, + "step": 1918 + }, + { + "epoch": 0.88, + "grad_norm": 1.4663454718230928, + "learning_rate": 3.7141484818392635e-05, + "loss": 2.7942, + "step": 1919 + }, + { + "epoch": 0.88, + "grad_norm": 1.6400701608398311, + "learning_rate": 3.686096403449973e-05, + "loss": 2.8692, + "step": 1920 + }, + { + "epoch": 0.88, + "grad_norm": 1.5102343229227375, + "learning_rate": 3.658146607502344e-05, + "loss": 2.8692, + "step": 1921 + }, + { + "epoch": 0.88, + "grad_norm": 1.4036744441877635, + "learning_rate": 3.630299155722411e-05, + "loss": 2.9044, + "step": 1922 + }, + { + "epoch": 0.88, + "grad_norm": 1.4959073188378265, + "learning_rate": 3.6025541096101676e-05, + "loss": 2.8899, + "step": 1923 + }, + { + "epoch": 0.88, + "grad_norm": 1.5376951244806973, + "learning_rate": 3.574911530439473e-05, + "loss": 2.9399, + "step": 1924 + }, + { + "epoch": 0.88, + "grad_norm": 1.4364576078878546, + "learning_rate": 3.5473714792578606e-05, + "loss": 2.939, + "step": 1925 + }, + { + "epoch": 0.88, + "grad_norm": 1.5555068532045278, + "learning_rate": 3.519934016886478e-05, + "loss": 2.9731, + "step": 1926 + }, + { + "epoch": 0.88, + "grad_norm": 1.5503484858841499, + "learning_rate": 3.4925992039198776e-05, + "loss": 2.9722, + "step": 1927 + }, + { + "epoch": 0.88, + "grad_norm": 1.571635720170499, + "learning_rate": 3.465367100725908e-05, + "loss": 2.925, + "step": 1928 + }, + { + "epoch": 0.88, + "grad_norm": 1.5269373291040813, + "learning_rate": 3.438237767445618e-05, + "loss": 2.7766, + "step": 1929 + }, + { + "epoch": 0.89, + "grad_norm": 1.5464844702339466, + "learning_rate": 3.4112112639930804e-05, + "loss": 2.9233, + "step": 1930 + }, + { + "epoch": 0.89, + "grad_norm": 1.7451535915348053, + "learning_rate": 3.3842876500552564e-05, + "loss": 2.8883, + "step": 1931 + }, + { + "epoch": 0.89, + "grad_norm": 1.4665119144304581, + "learning_rate": 3.357466985091906e-05, + "loss": 2.9739, + "step": 1932 + }, + { + "epoch": 0.89, + "grad_norm": 1.384489384330484, + "learning_rate": 3.330749328335414e-05, + "loss": 2.8155, + "step": 1933 + }, + { + "epoch": 0.89, + "grad_norm": 1.6795591162836185, + "learning_rate": 3.304134738790659e-05, + "loss": 2.8918, + "step": 1934 + }, + { + "epoch": 0.89, + "grad_norm": 1.4402140556573797, + "learning_rate": 3.277623275234953e-05, + "loss": 2.834, + "step": 1935 + }, + { + "epoch": 0.89, + "grad_norm": 1.4529663494166023, + "learning_rate": 3.2512149962177994e-05, + "loss": 2.9157, + "step": 1936 + }, + { + "epoch": 0.89, + "grad_norm": 1.590567862847257, + "learning_rate": 3.224909960060851e-05, + "loss": 2.8381, + "step": 1937 + }, + { + "epoch": 0.89, + "grad_norm": 1.4714345724483815, + "learning_rate": 3.198708224857755e-05, + "loss": 2.8784, + "step": 1938 + }, + { + "epoch": 0.89, + "grad_norm": 1.4726849731668494, + "learning_rate": 3.172609848474023e-05, + "loss": 2.8212, + "step": 1939 + }, + { + "epoch": 0.89, + "grad_norm": 1.4060337482477416, + "learning_rate": 3.1466148885468895e-05, + "loss": 2.8775, + "step": 1940 + }, + { + "epoch": 0.89, + "grad_norm": 1.4875144255791442, + "learning_rate": 3.120723402485198e-05, + "loss": 2.9733, + "step": 1941 + }, + { + "epoch": 0.89, + "grad_norm": 1.4970631190152253, + "learning_rate": 3.094935447469294e-05, + "loss": 2.8211, + "step": 1942 + }, + { + "epoch": 0.89, + "grad_norm": 1.5005998991667864, + "learning_rate": 3.069251080450863e-05, + "loss": 2.862, + "step": 1943 + }, + { + "epoch": 0.89, + "grad_norm": 1.464965848145526, + "learning_rate": 3.0436703581528113e-05, + "loss": 2.8855, + "step": 1944 + }, + { + "epoch": 0.89, + "grad_norm": 1.5335386551872414, + "learning_rate": 3.0181933370691694e-05, + "loss": 2.9302, + "step": 1945 + }, + { + "epoch": 0.89, + "grad_norm": 1.484008739331667, + "learning_rate": 2.9928200734649523e-05, + "loss": 2.8072, + "step": 1946 + }, + { + "epoch": 0.89, + "grad_norm": 1.5358441924359179, + "learning_rate": 2.9675506233760142e-05, + "loss": 2.8687, + "step": 1947 + }, + { + "epoch": 0.89, + "grad_norm": 1.5973523042482358, + "learning_rate": 2.942385042608925e-05, + "loss": 2.8793, + "step": 1948 + }, + { + "epoch": 0.89, + "grad_norm": 1.582223534483645, + "learning_rate": 2.9173233867409054e-05, + "loss": 2.9423, + "step": 1949 + }, + { + "epoch": 0.89, + "grad_norm": 1.4678066550787998, + "learning_rate": 2.892365711119638e-05, + "loss": 2.9109, + "step": 1950 + }, + { + "epoch": 0.89, + "grad_norm": 1.4347146695874915, + "learning_rate": 2.8675120708631596e-05, + "loss": 2.8819, + "step": 1951 + }, + { + "epoch": 0.9, + "grad_norm": 1.6025566848049118, + "learning_rate": 2.8427625208597764e-05, + "loss": 2.8904, + "step": 1952 + }, + { + "epoch": 0.9, + "grad_norm": 1.4909591674742582, + "learning_rate": 2.8181171157678874e-05, + "loss": 2.8805, + "step": 1953 + }, + { + "epoch": 0.9, + "grad_norm": 1.47832464221613, + "learning_rate": 2.7935759100159053e-05, + "loss": 2.8914, + "step": 1954 + }, + { + "epoch": 0.9, + "grad_norm": 1.6972196717084973, + "learning_rate": 2.7691389578021365e-05, + "loss": 2.9087, + "step": 1955 + }, + { + "epoch": 0.9, + "grad_norm": 1.5757128569203995, + "learning_rate": 2.7448063130946223e-05, + "loss": 2.8744, + "step": 1956 + }, + { + "epoch": 0.9, + "grad_norm": 1.5538214364837772, + "learning_rate": 2.7205780296310544e-05, + "loss": 2.8828, + "step": 1957 + }, + { + "epoch": 0.9, + "grad_norm": 1.4731770562511992, + "learning_rate": 2.6964541609186378e-05, + "loss": 2.8521, + "step": 1958 + }, + { + "epoch": 0.9, + "grad_norm": 1.4665879583042831, + "learning_rate": 2.6724347602340104e-05, + "loss": 2.7618, + "step": 1959 + }, + { + "epoch": 0.9, + "grad_norm": 1.4815390477016337, + "learning_rate": 2.6485198806230682e-05, + "loss": 2.8734, + "step": 1960 + }, + { + "epoch": 0.9, + "grad_norm": 1.4349096382687316, + "learning_rate": 2.6247095749008797e-05, + "loss": 2.9209, + "step": 1961 + }, + { + "epoch": 0.9, + "grad_norm": 1.7833695769984879, + "learning_rate": 2.6010038956515826e-05, + "loss": 2.9418, + "step": 1962 + }, + { + "epoch": 0.9, + "grad_norm": 1.6296732463605148, + "learning_rate": 2.5774028952282423e-05, + "loss": 2.8611, + "step": 1963 + }, + { + "epoch": 0.9, + "grad_norm": 1.5831547685757865, + "learning_rate": 2.5539066257527277e-05, + "loss": 2.9252, + "step": 1964 + }, + { + "epoch": 0.9, + "grad_norm": 1.469656350932715, + "learning_rate": 2.530515139115652e-05, + "loss": 2.8771, + "step": 1965 + }, + { + "epoch": 0.9, + "grad_norm": 1.4787897090913968, + "learning_rate": 2.5072284869761874e-05, + "loss": 2.887, + "step": 1966 + }, + { + "epoch": 0.9, + "grad_norm": 1.484189165325405, + "learning_rate": 2.4840467207619786e-05, + "loss": 2.8504, + "step": 1967 + }, + { + "epoch": 0.9, + "grad_norm": 1.5294827175806416, + "learning_rate": 2.460969891669068e-05, + "loss": 2.9081, + "step": 1968 + }, + { + "epoch": 0.9, + "grad_norm": 1.6027837273608372, + "learning_rate": 2.4379980506617272e-05, + "loss": 2.8572, + "step": 1969 + }, + { + "epoch": 0.9, + "grad_norm": 1.5673656830612, + "learning_rate": 2.4151312484723464e-05, + "loss": 2.8468, + "step": 1970 + }, + { + "epoch": 0.9, + "grad_norm": 1.4731562037011865, + "learning_rate": 2.3923695356013798e-05, + "loss": 2.8148, + "step": 1971 + }, + { + "epoch": 0.9, + "grad_norm": 1.5578472190648955, + "learning_rate": 2.3697129623171833e-05, + "loss": 2.8224, + "step": 1972 + }, + { + "epoch": 0.9, + "grad_norm": 1.4660743943581256, + "learning_rate": 2.3471615786559042e-05, + "loss": 2.9389, + "step": 1973 + }, + { + "epoch": 0.91, + "grad_norm": 1.5079763677086122, + "learning_rate": 2.3247154344213818e-05, + "loss": 2.8485, + "step": 1974 + }, + { + "epoch": 0.91, + "grad_norm": 1.5041664589213408, + "learning_rate": 2.3023745791850625e-05, + "loss": 2.8479, + "step": 1975 + }, + { + "epoch": 0.91, + "grad_norm": 1.5604549841682265, + "learning_rate": 2.2801390622858354e-05, + "loss": 2.9428, + "step": 1976 + }, + { + "epoch": 0.91, + "grad_norm": 1.4072160826426907, + "learning_rate": 2.2580089328299746e-05, + "loss": 2.8331, + "step": 1977 + }, + { + "epoch": 0.91, + "grad_norm": 1.6438604681318603, + "learning_rate": 2.235984239690997e-05, + "loss": 2.9018, + "step": 1978 + }, + { + "epoch": 0.91, + "grad_norm": 1.4320500088021482, + "learning_rate": 2.2140650315095934e-05, + "loss": 2.7994, + "step": 1979 + }, + { + "epoch": 0.91, + "grad_norm": 1.534064340755125, + "learning_rate": 2.192251356693459e-05, + "loss": 2.9454, + "step": 1980 + }, + { + "epoch": 0.91, + "grad_norm": 1.4072471487692266, + "learning_rate": 2.170543263417246e-05, + "loss": 2.9149, + "step": 1981 + }, + { + "epoch": 0.91, + "grad_norm": 1.4874578196742538, + "learning_rate": 2.1489407996224286e-05, + "loss": 2.9319, + "step": 1982 + }, + { + "epoch": 0.91, + "grad_norm": 1.8273672893919206, + "learning_rate": 2.127444013017199e-05, + "loss": 2.9181, + "step": 1983 + }, + { + "epoch": 0.91, + "grad_norm": 1.3942046266177364, + "learning_rate": 2.1060529510763648e-05, + "loss": 2.8285, + "step": 1984 + }, + { + "epoch": 0.91, + "grad_norm": 1.4930103108346384, + "learning_rate": 2.084767661041259e-05, + "loss": 2.9399, + "step": 1985 + }, + { + "epoch": 0.91, + "grad_norm": 1.614343291849434, + "learning_rate": 2.063588189919596e-05, + "loss": 2.8734, + "step": 1986 + }, + { + "epoch": 0.91, + "grad_norm": 1.8127584809648278, + "learning_rate": 2.0425145844854275e-05, + "loss": 2.9724, + "step": 1987 + }, + { + "epoch": 0.91, + "grad_norm": 1.8037086954329054, + "learning_rate": 2.0215468912789693e-05, + "loss": 2.8721, + "step": 1988 + }, + { + "epoch": 0.91, + "grad_norm": 1.7497334435742615, + "learning_rate": 2.0006851566065575e-05, + "loss": 2.9059, + "step": 1989 + }, + { + "epoch": 0.91, + "grad_norm": 1.7026835928865063, + "learning_rate": 1.9799294265405166e-05, + "loss": 2.7976, + "step": 1990 + }, + { + "epoch": 0.91, + "grad_norm": 1.5717010758013226, + "learning_rate": 1.9592797469190572e-05, + "loss": 2.9775, + "step": 1991 + }, + { + "epoch": 0.91, + "grad_norm": 1.5991540332869905, + "learning_rate": 1.938736163346194e-05, + "loss": 2.8874, + "step": 1992 + }, + { + "epoch": 0.91, + "grad_norm": 1.5637072959436045, + "learning_rate": 1.9182987211916246e-05, + "loss": 2.8109, + "step": 1993 + }, + { + "epoch": 0.91, + "grad_norm": 1.5745896865194786, + "learning_rate": 1.8979674655906332e-05, + "loss": 2.9609, + "step": 1994 + }, + { + "epoch": 0.92, + "grad_norm": 1.5539240823916454, + "learning_rate": 1.8777424414440024e-05, + "loss": 2.828, + "step": 1995 + }, + { + "epoch": 0.92, + "grad_norm": 1.4025417579911514, + "learning_rate": 1.8576236934179202e-05, + "loss": 2.9362, + "step": 1996 + }, + { + "epoch": 0.92, + "grad_norm": 1.5050863593089898, + "learning_rate": 1.8376112659438393e-05, + "loss": 2.9596, + "step": 1997 + }, + { + "epoch": 0.92, + "grad_norm": 1.4799545771805533, + "learning_rate": 1.8177052032184282e-05, + "loss": 2.8515, + "step": 1998 + }, + { + "epoch": 0.92, + "grad_norm": 1.6370075649842235, + "learning_rate": 1.7979055492034435e-05, + "loss": 2.9223, + "step": 1999 + }, + { + "epoch": 0.92, + "grad_norm": 1.7332140982857032, + "learning_rate": 1.7782123476256407e-05, + "loss": 2.9252, + "step": 2000 + }, + { + "epoch": 0.92, + "grad_norm": 1.5388126458604086, + "learning_rate": 1.7586256419766965e-05, + "loss": 2.9439, + "step": 2001 + }, + { + "epoch": 0.92, + "grad_norm": 1.4693043476586793, + "learning_rate": 1.7391454755130766e-05, + "loss": 2.7673, + "step": 2002 + }, + { + "epoch": 0.92, + "grad_norm": 1.5355137938875654, + "learning_rate": 1.7197718912559557e-05, + "loss": 2.8348, + "step": 2003 + }, + { + "epoch": 0.92, + "grad_norm": 1.4118626295927916, + "learning_rate": 1.700504931991148e-05, + "loss": 2.8659, + "step": 2004 + }, + { + "epoch": 0.92, + "grad_norm": 1.5051451372854154, + "learning_rate": 1.681344640268978e-05, + "loss": 2.8737, + "step": 2005 + }, + { + "epoch": 0.92, + "grad_norm": 1.47400337301359, + "learning_rate": 1.6622910584041974e-05, + "loss": 2.9754, + "step": 2006 + }, + { + "epoch": 0.92, + "grad_norm": 1.5012463101060307, + "learning_rate": 1.6433442284758903e-05, + "loss": 2.8863, + "step": 2007 + }, + { + "epoch": 0.92, + "grad_norm": 1.4198639382717881, + "learning_rate": 1.624504192327392e-05, + "loss": 2.7836, + "step": 2008 + }, + { + "epoch": 0.92, + "grad_norm": 1.5954261264842526, + "learning_rate": 1.6057709915661856e-05, + "loss": 2.8596, + "step": 2009 + }, + { + "epoch": 0.92, + "grad_norm": 1.6481036916953042, + "learning_rate": 1.5871446675638057e-05, + "loss": 2.8829, + "step": 2010 + }, + { + "epoch": 0.92, + "grad_norm": 1.5339498346494753, + "learning_rate": 1.5686252614557638e-05, + "loss": 2.7937, + "step": 2011 + }, + { + "epoch": 0.92, + "grad_norm": 1.393557889800209, + "learning_rate": 1.5502128141414497e-05, + "loss": 2.9023, + "step": 2012 + }, + { + "epoch": 0.92, + "grad_norm": 1.88986773515513, + "learning_rate": 1.5319073662840188e-05, + "loss": 2.7743, + "step": 2013 + }, + { + "epoch": 0.92, + "grad_norm": 1.5966387010924286, + "learning_rate": 1.5137089583103391e-05, + "loss": 2.9486, + "step": 2014 + }, + { + "epoch": 0.92, + "grad_norm": 1.3994100632865987, + "learning_rate": 1.4956176304108893e-05, + "loss": 2.9123, + "step": 2015 + }, + { + "epoch": 0.92, + "grad_norm": 1.4978715254602573, + "learning_rate": 1.4776334225396481e-05, + "loss": 2.9195, + "step": 2016 + }, + { + "epoch": 0.93, + "grad_norm": 1.4385628066120812, + "learning_rate": 1.4597563744140397e-05, + "loss": 2.8311, + "step": 2017 + }, + { + "epoch": 0.93, + "grad_norm": 1.5471527050455438, + "learning_rate": 1.4419865255148269e-05, + "loss": 2.9322, + "step": 2018 + }, + { + "epoch": 0.93, + "grad_norm": 1.8327583444194242, + "learning_rate": 1.4243239150860122e-05, + "loss": 2.7309, + "step": 2019 + }, + { + "epoch": 0.93, + "grad_norm": 1.8850396573787256, + "learning_rate": 1.4067685821347932e-05, + "loss": 2.8314, + "step": 2020 + }, + { + "epoch": 0.93, + "grad_norm": 1.4936714332986873, + "learning_rate": 1.389320565431429e-05, + "loss": 2.8937, + "step": 2021 + }, + { + "epoch": 0.93, + "grad_norm": 1.4956226151967322, + "learning_rate": 1.3719799035091851e-05, + "loss": 2.7761, + "step": 2022 + }, + { + "epoch": 0.93, + "grad_norm": 1.6033053339187568, + "learning_rate": 1.3547466346642278e-05, + "loss": 2.854, + "step": 2023 + }, + { + "epoch": 0.93, + "grad_norm": 1.4776702601067804, + "learning_rate": 1.3376207969555577e-05, + "loss": 2.8748, + "step": 2024 + }, + { + "epoch": 0.93, + "grad_norm": 1.6799425520501161, + "learning_rate": 1.32060242820492e-05, + "loss": 2.8671, + "step": 2025 + }, + { + "epoch": 0.93, + "grad_norm": 1.5885598073189569, + "learning_rate": 1.3036915659967118e-05, + "loss": 2.8139, + "step": 2026 + }, + { + "epoch": 0.93, + "grad_norm": 1.4171086120023548, + "learning_rate": 1.2868882476779087e-05, + "loss": 2.8508, + "step": 2027 + }, + { + "epoch": 0.93, + "grad_norm": 1.5168505214152104, + "learning_rate": 1.2701925103579815e-05, + "loss": 2.8751, + "step": 2028 + }, + { + "epoch": 0.93, + "grad_norm": 1.4437626793992913, + "learning_rate": 1.2536043909088191e-05, + "loss": 2.9438, + "step": 2029 + }, + { + "epoch": 0.93, + "grad_norm": 1.814281030396273, + "learning_rate": 1.2371239259646228e-05, + "loss": 2.9143, + "step": 2030 + }, + { + "epoch": 0.93, + "grad_norm": 1.6619546796392395, + "learning_rate": 1.2207511519218672e-05, + "loss": 2.9273, + "step": 2031 + }, + { + "epoch": 0.93, + "grad_norm": 1.8887156476744498, + "learning_rate": 1.2044861049391676e-05, + "loss": 2.8618, + "step": 2032 + }, + { + "epoch": 0.93, + "grad_norm": 1.4588444357105845, + "learning_rate": 1.1883288209372512e-05, + "loss": 2.8062, + "step": 2033 + }, + { + "epoch": 0.93, + "grad_norm": 1.578319729400997, + "learning_rate": 1.1722793355988471e-05, + "loss": 2.9831, + "step": 2034 + }, + { + "epoch": 0.93, + "grad_norm": 1.5420847883700262, + "learning_rate": 1.1563376843686135e-05, + "loss": 2.9085, + "step": 2035 + }, + { + "epoch": 0.93, + "grad_norm": 1.5679244156550947, + "learning_rate": 1.140503902453055e-05, + "loss": 2.7953, + "step": 2036 + }, + { + "epoch": 0.93, + "grad_norm": 1.8364615041958108, + "learning_rate": 1.1247780248204665e-05, + "loss": 2.8381, + "step": 2037 + }, + { + "epoch": 0.93, + "grad_norm": 1.4897926606454344, + "learning_rate": 1.1091600862008333e-05, + "loss": 2.8884, + "step": 2038 + }, + { + "epoch": 0.94, + "grad_norm": 1.5848765946736403, + "learning_rate": 1.0936501210857652e-05, + "loss": 2.8648, + "step": 2039 + }, + { + "epoch": 0.94, + "grad_norm": 1.6175298730592484, + "learning_rate": 1.0782481637284013e-05, + "loss": 2.9331, + "step": 2040 + }, + { + "epoch": 0.94, + "grad_norm": 1.4917936375091316, + "learning_rate": 1.0629542481433663e-05, + "loss": 2.8692, + "step": 2041 + }, + { + "epoch": 0.94, + "grad_norm": 1.436200854069479, + "learning_rate": 1.0477684081066751e-05, + "loss": 2.9199, + "step": 2042 + }, + { + "epoch": 0.94, + "grad_norm": 1.7438399043286865, + "learning_rate": 1.0326906771556566e-05, + "loss": 2.9482, + "step": 2043 + }, + { + "epoch": 0.94, + "grad_norm": 1.435118602016525, + "learning_rate": 1.017721088588891e-05, + "loss": 2.8844, + "step": 2044 + }, + { + "epoch": 0.94, + "grad_norm": 1.4950453406702178, + "learning_rate": 1.0028596754661334e-05, + "loss": 2.8055, + "step": 2045 + }, + { + "epoch": 0.94, + "grad_norm": 1.5750797839944721, + "learning_rate": 9.881064706082298e-06, + "loss": 2.845, + "step": 2046 + }, + { + "epoch": 0.94, + "grad_norm": 1.7260328791785635, + "learning_rate": 9.734615065970454e-06, + "loss": 2.7853, + "step": 2047 + }, + { + "epoch": 0.94, + "grad_norm": 1.600488879331733, + "learning_rate": 9.58924815775425e-06, + "loss": 2.911, + "step": 2048 + }, + { + "epoch": 0.94, + "grad_norm": 1.4719363724111145, + "learning_rate": 9.444964302470715e-06, + "loss": 2.8467, + "step": 2049 + }, + { + "epoch": 0.94, + "grad_norm": 1.6641142813161849, + "learning_rate": 9.301763818765018e-06, + "loss": 2.8522, + "step": 2050 + }, + { + "epoch": 0.94, + "grad_norm": 1.5297354713655371, + "learning_rate": 9.15964702288996e-06, + "loss": 2.9144, + "step": 2051 + }, + { + "epoch": 0.94, + "grad_norm": 1.6465906424541557, + "learning_rate": 9.018614228704925e-06, + "loss": 2.7477, + "step": 2052 + }, + { + "epoch": 0.94, + "grad_norm": 1.4029411802728182, + "learning_rate": 8.878665747675152e-06, + "loss": 2.8064, + "step": 2053 + }, + { + "epoch": 0.94, + "grad_norm": 1.4713897874510444, + "learning_rate": 8.739801888871469e-06, + "loss": 2.8162, + "step": 2054 + }, + { + "epoch": 0.94, + "grad_norm": 1.3862184812122866, + "learning_rate": 8.602022958969336e-06, + "loss": 2.8841, + "step": 2055 + }, + { + "epoch": 0.94, + "grad_norm": 1.3425302286773029, + "learning_rate": 8.465329262248078e-06, + "loss": 2.8259, + "step": 2056 + }, + { + "epoch": 0.94, + "grad_norm": 1.481598435000286, + "learning_rate": 8.32972110059027e-06, + "loss": 2.8877, + "step": 2057 + }, + { + "epoch": 0.94, + "grad_norm": 1.4197574402815962, + "learning_rate": 8.195198773481406e-06, + "loss": 2.9348, + "step": 2058 + }, + { + "epoch": 0.94, + "grad_norm": 1.7481587577918951, + "learning_rate": 8.061762578008613e-06, + "loss": 2.925, + "step": 2059 + }, + { + "epoch": 0.94, + "grad_norm": 1.4797379243106081, + "learning_rate": 7.929412808860559e-06, + "loss": 2.8116, + "step": 2060 + }, + { + "epoch": 0.95, + "grad_norm": 1.6512173363065439, + "learning_rate": 7.79814975832649e-06, + "loss": 2.9112, + "step": 2061 + }, + { + "epoch": 0.95, + "grad_norm": 1.6550133641278555, + "learning_rate": 7.667973716295851e-06, + "loss": 2.9183, + "step": 2062 + }, + { + "epoch": 0.95, + "grad_norm": 1.3795522268718496, + "learning_rate": 7.5388849702571205e-06, + "loss": 2.8346, + "step": 2063 + }, + { + "epoch": 0.95, + "grad_norm": 1.491178519659264, + "learning_rate": 7.4108838052979185e-06, + "loss": 2.8363, + "step": 2064 + }, + { + "epoch": 0.95, + "grad_norm": 1.4271778359926224, + "learning_rate": 7.283970504103732e-06, + "loss": 2.7577, + "step": 2065 + }, + { + "epoch": 0.95, + "grad_norm": 1.4932681485251926, + "learning_rate": 7.1581453469575785e-06, + "loss": 2.7733, + "step": 2066 + }, + { + "epoch": 0.95, + "grad_norm": 1.553765796592862, + "learning_rate": 7.033408611739456e-06, + "loss": 2.8634, + "step": 2067 + }, + { + "epoch": 0.95, + "grad_norm": 1.5887782617601862, + "learning_rate": 6.909760573925561e-06, + "loss": 2.9104, + "step": 2068 + }, + { + "epoch": 0.95, + "grad_norm": 1.560370878264193, + "learning_rate": 6.787201506587626e-06, + "loss": 2.8573, + "step": 2069 + }, + { + "epoch": 0.95, + "grad_norm": 1.5179770132768409, + "learning_rate": 6.66573168039264e-06, + "loss": 2.9291, + "step": 2070 + }, + { + "epoch": 0.95, + "grad_norm": 1.473788361267198, + "learning_rate": 6.545351363601959e-06, + "loss": 2.9331, + "step": 2071 + }, + { + "epoch": 0.95, + "grad_norm": 1.511427342947344, + "learning_rate": 6.426060822070812e-06, + "loss": 2.8179, + "step": 2072 + }, + { + "epoch": 0.95, + "grad_norm": 1.479821614829401, + "learning_rate": 6.3078603192475716e-06, + "loss": 2.9935, + "step": 2073 + }, + { + "epoch": 0.95, + "grad_norm": 1.5714443834065885, + "learning_rate": 6.1907501161735934e-06, + "loss": 2.8862, + "step": 2074 + }, + { + "epoch": 0.95, + "grad_norm": 1.618277096754612, + "learning_rate": 6.074730471482049e-06, + "loss": 2.8478, + "step": 2075 + }, + { + "epoch": 0.95, + "grad_norm": 1.4486934298729226, + "learning_rate": 5.959801641397755e-06, + "loss": 2.8357, + "step": 2076 + }, + { + "epoch": 0.95, + "grad_norm": 1.5097582741040247, + "learning_rate": 5.845963879736627e-06, + "loss": 2.7522, + "step": 2077 + }, + { + "epoch": 0.95, + "grad_norm": 1.5372374982287638, + "learning_rate": 5.733217437904892e-06, + "loss": 2.8364, + "step": 2078 + }, + { + "epoch": 0.95, + "grad_norm": 1.524030997769299, + "learning_rate": 5.621562564898597e-06, + "loss": 2.9527, + "step": 2079 + }, + { + "epoch": 0.95, + "grad_norm": 1.4651782369634005, + "learning_rate": 5.51099950730316e-06, + "loss": 2.8722, + "step": 2080 + }, + { + "epoch": 0.95, + "grad_norm": 1.5372217167793154, + "learning_rate": 5.401528509292763e-06, + "loss": 2.9598, + "step": 2081 + }, + { + "epoch": 0.95, + "grad_norm": 1.4960171509913391, + "learning_rate": 5.2931498126298495e-06, + "loss": 2.9297, + "step": 2082 + }, + { + "epoch": 0.96, + "grad_norm": 1.5128630932867422, + "learning_rate": 5.1858636566645135e-06, + "loss": 2.8304, + "step": 2083 + }, + { + "epoch": 0.96, + "grad_norm": 1.604338333171454, + "learning_rate": 5.0796702783340035e-06, + "loss": 2.7825, + "step": 2084 + }, + { + "epoch": 0.96, + "grad_norm": 1.5131272598202807, + "learning_rate": 4.97456991216233e-06, + "loss": 2.803, + "step": 2085 + }, + { + "epoch": 0.96, + "grad_norm": 1.660000980221689, + "learning_rate": 4.870562790259325e-06, + "loss": 2.8959, + "step": 2086 + }, + { + "epoch": 0.96, + "grad_norm": 1.5885865533449666, + "learning_rate": 4.7676491423208625e-06, + "loss": 2.8071, + "step": 2087 + }, + { + "epoch": 0.96, + "grad_norm": 1.5040679344943872, + "learning_rate": 4.66582919562758e-06, + "loss": 2.8891, + "step": 2088 + }, + { + "epoch": 0.96, + "grad_norm": 1.5658836249701653, + "learning_rate": 4.5651031750448825e-06, + "loss": 2.9697, + "step": 2089 + }, + { + "epoch": 0.96, + "grad_norm": 1.4210956827895254, + "learning_rate": 4.465471303022217e-06, + "loss": 2.7792, + "step": 2090 + }, + { + "epoch": 0.96, + "grad_norm": 1.436851691896154, + "learning_rate": 4.366933799592743e-06, + "loss": 2.9187, + "step": 2091 + }, + { + "epoch": 0.96, + "grad_norm": 1.5112751874572803, + "learning_rate": 4.269490882372551e-06, + "loss": 2.8447, + "step": 2092 + }, + { + "epoch": 0.96, + "grad_norm": 1.4293935828070912, + "learning_rate": 4.1731427665606115e-06, + "loss": 2.8681, + "step": 2093 + }, + { + "epoch": 0.96, + "grad_norm": 1.5166164993582885, + "learning_rate": 4.077889664937884e-06, + "loss": 2.8435, + "step": 2094 + }, + { + "epoch": 0.96, + "grad_norm": 1.437581977955914, + "learning_rate": 3.983731787867207e-06, + "loss": 2.756, + "step": 2095 + }, + { + "epoch": 0.96, + "grad_norm": 1.6880841284557726, + "learning_rate": 3.890669343292464e-06, + "loss": 2.8628, + "step": 2096 + }, + { + "epoch": 0.96, + "grad_norm": 1.448538016950513, + "learning_rate": 3.7987025367384743e-06, + "loss": 2.918, + "step": 2097 + }, + { + "epoch": 0.96, + "grad_norm": 1.5265747055521879, + "learning_rate": 3.707831571310327e-06, + "loss": 2.8671, + "step": 2098 + }, + { + "epoch": 0.96, + "grad_norm": 1.3846339627503044, + "learning_rate": 3.6180566476929912e-06, + "loss": 2.8209, + "step": 2099 + }, + { + "epoch": 0.96, + "grad_norm": 1.3486140408773666, + "learning_rate": 3.529377964150815e-06, + "loss": 2.8314, + "step": 2100 + }, + { + "epoch": 0.96, + "grad_norm": 1.4442875050263744, + "learning_rate": 3.441795716527307e-06, + "loss": 2.9235, + "step": 2101 + }, + { + "epoch": 0.96, + "grad_norm": 1.8003966359703822, + "learning_rate": 3.355310098244302e-06, + "loss": 2.9187, + "step": 2102 + }, + { + "epoch": 0.96, + "grad_norm": 1.550264867272245, + "learning_rate": 3.269921300301959e-06, + "loss": 2.8438, + "step": 2103 + }, + { + "epoch": 0.97, + "grad_norm": 1.442644788224796, + "learning_rate": 3.1856295112780988e-06, + "loss": 2.8719, + "step": 2104 + }, + { + "epoch": 0.97, + "grad_norm": 1.4437986486097043, + "learning_rate": 3.102434917327812e-06, + "loss": 2.9403, + "step": 2105 + }, + { + "epoch": 0.97, + "grad_norm": 1.4977996226139574, + "learning_rate": 3.0203377021831292e-06, + "loss": 2.9147, + "step": 2106 + }, + { + "epoch": 0.97, + "grad_norm": 1.479035525193425, + "learning_rate": 2.939338047152573e-06, + "loss": 2.7613, + "step": 2107 + }, + { + "epoch": 0.97, + "grad_norm": 1.487584478944744, + "learning_rate": 2.8594361311206073e-06, + "loss": 2.8024, + "step": 2108 + }, + { + "epoch": 0.97, + "grad_norm": 1.405440574505884, + "learning_rate": 2.7806321305475225e-06, + "loss": 2.8191, + "step": 2109 + }, + { + "epoch": 0.97, + "grad_norm": 1.4683203952694448, + "learning_rate": 2.7029262194688818e-06, + "loss": 2.7873, + "step": 2110 + }, + { + "epoch": 0.97, + "grad_norm": 1.5206005184996711, + "learning_rate": 2.626318569495134e-06, + "loss": 2.852, + "step": 2111 + }, + { + "epoch": 0.97, + "grad_norm": 1.5338481062188865, + "learning_rate": 2.550809349811334e-06, + "loss": 2.8735, + "step": 2112 + }, + { + "epoch": 0.97, + "grad_norm": 1.463823059198892, + "learning_rate": 2.476398727176532e-06, + "loss": 2.8412, + "step": 2113 + }, + { + "epoch": 0.97, + "grad_norm": 1.4923051774213183, + "learning_rate": 2.4030868659237204e-06, + "loss": 2.9158, + "step": 2114 + }, + { + "epoch": 0.97, + "grad_norm": 1.461734723295787, + "learning_rate": 2.3308739279593317e-06, + "loss": 2.8733, + "step": 2115 + }, + { + "epoch": 0.97, + "grad_norm": 1.4811685403745933, + "learning_rate": 2.2597600727626845e-06, + "loss": 2.8369, + "step": 2116 + }, + { + "epoch": 0.97, + "grad_norm": 1.4690245644078024, + "learning_rate": 2.1897454573860387e-06, + "loss": 2.8863, + "step": 2117 + }, + { + "epoch": 0.97, + "grad_norm": 1.4439631572852036, + "learning_rate": 2.1208302364538746e-06, + "loss": 2.7857, + "step": 2118 + }, + { + "epoch": 0.97, + "grad_norm": 1.4504883799468544, + "learning_rate": 2.0530145621627804e-06, + "loss": 2.8481, + "step": 2119 + }, + { + "epoch": 0.97, + "grad_norm": 1.5712846977520416, + "learning_rate": 1.9862985842810653e-06, + "loss": 2.9003, + "step": 2120 + }, + { + "epoch": 0.97, + "grad_norm": 1.4618001006324173, + "learning_rate": 1.920682450148259e-06, + "loss": 2.9018, + "step": 2121 + }, + { + "epoch": 0.97, + "grad_norm": 1.44200793447349, + "learning_rate": 1.856166304675111e-06, + "loss": 2.9493, + "step": 2122 + }, + { + "epoch": 0.97, + "grad_norm": 1.5588902481169093, + "learning_rate": 1.792750290342926e-06, + "loss": 2.862, + "step": 2123 + }, + { + "epoch": 0.97, + "grad_norm": 1.4422826940992963, + "learning_rate": 1.7304345472035632e-06, + "loss": 2.8537, + "step": 2124 + }, + { + "epoch": 0.97, + "grad_norm": 1.4151754371460405, + "learning_rate": 1.6692192128788253e-06, + "loss": 2.9006, + "step": 2125 + }, + { + "epoch": 0.98, + "grad_norm": 1.476028730444538, + "learning_rate": 1.6091044225604035e-06, + "loss": 2.8356, + "step": 2126 + }, + { + "epoch": 0.98, + "grad_norm": 1.4983546242197796, + "learning_rate": 1.5500903090094888e-06, + "loss": 2.8427, + "step": 2127 + }, + { + "epoch": 0.98, + "grad_norm": 1.4813560149575726, + "learning_rate": 1.492177002556383e-06, + "loss": 2.856, + "step": 2128 + }, + { + "epoch": 0.98, + "grad_norm": 1.634182601651669, + "learning_rate": 1.4353646311004443e-06, + "loss": 2.805, + "step": 2129 + }, + { + "epoch": 0.98, + "grad_norm": 1.4930452452819154, + "learning_rate": 1.3796533201094752e-06, + "loss": 2.8237, + "step": 2130 + }, + { + "epoch": 0.98, + "grad_norm": 1.5137816665481156, + "learning_rate": 1.3250431926197793e-06, + "loss": 2.9058, + "step": 2131 + }, + { + "epoch": 0.98, + "grad_norm": 1.4520051467762336, + "learning_rate": 1.2715343692356607e-06, + "loss": 2.9287, + "step": 2132 + }, + { + "epoch": 0.98, + "grad_norm": 1.428375214692525, + "learning_rate": 1.2191269681292582e-06, + "loss": 2.9125, + "step": 2133 + }, + { + "epoch": 0.98, + "grad_norm": 1.5745104543064323, + "learning_rate": 1.1678211050402676e-06, + "loss": 2.9409, + "step": 2134 + }, + { + "epoch": 0.98, + "grad_norm": 1.4779719142655328, + "learning_rate": 1.117616893275719e-06, + "loss": 2.9152, + "step": 2135 + }, + { + "epoch": 0.98, + "grad_norm": 1.408013776591615, + "learning_rate": 1.068514443709534e-06, + "loss": 2.7898, + "step": 2136 + }, + { + "epoch": 0.98, + "grad_norm": 1.4896026925751995, + "learning_rate": 1.0205138647826905e-06, + "loss": 2.838, + "step": 2137 + }, + { + "epoch": 0.98, + "grad_norm": 1.588359791836602, + "learning_rate": 9.73615262502503e-07, + "loss": 2.9336, + "step": 2138 + }, + { + "epoch": 0.98, + "grad_norm": 1.4092096302161734, + "learning_rate": 9.278187404426763e-07, + "loss": 2.9494, + "step": 2139 + }, + { + "epoch": 0.98, + "grad_norm": 1.5171615535631873, + "learning_rate": 8.831243997431404e-07, + "loss": 2.9468, + "step": 2140 + }, + { + "epoch": 0.98, + "grad_norm": 1.4902087158541766, + "learning_rate": 8.395323391094944e-07, + "loss": 2.8707, + "step": 2141 + }, + { + "epoch": 0.98, + "grad_norm": 1.6089502941755045, + "learning_rate": 7.970426548131183e-07, + "loss": 2.8516, + "step": 2142 + }, + { + "epoch": 0.98, + "grad_norm": 1.4652701502600067, + "learning_rate": 7.556554406908389e-07, + "loss": 2.7547, + "step": 2143 + }, + { + "epoch": 0.98, + "grad_norm": 1.7666860159180373, + "learning_rate": 7.153707881446536e-07, + "loss": 2.9179, + "step": 2144 + }, + { + "epoch": 0.98, + "grad_norm": 1.5241929339734375, + "learning_rate": 6.761887861417293e-07, + "loss": 2.8455, + "step": 2145 + }, + { + "epoch": 0.98, + "grad_norm": 1.4792571324403863, + "learning_rate": 6.381095212139032e-07, + "loss": 2.7573, + "step": 2146 + }, + { + "epoch": 0.98, + "grad_norm": 1.4904795297151339, + "learning_rate": 6.011330774577384e-07, + "loss": 2.8708, + "step": 2147 + }, + { + "epoch": 0.99, + "grad_norm": 1.5429832752666304, + "learning_rate": 5.652595365343016e-07, + "loss": 2.8457, + "step": 2148 + }, + { + "epoch": 0.99, + "grad_norm": 1.512697187082373, + "learning_rate": 5.304889776688859e-07, + "loss": 2.9566, + "step": 2149 + }, + { + "epoch": 0.99, + "grad_norm": 1.4164801983368362, + "learning_rate": 4.968214776508994e-07, + "loss": 2.8511, + "step": 2150 + }, + { + "epoch": 0.99, + "grad_norm": 1.4372895358872773, + "learning_rate": 4.6425711083375454e-07, + "loss": 2.8223, + "step": 2151 + }, + { + "epoch": 0.99, + "grad_norm": 1.461005951519057, + "learning_rate": 4.3279594913447906e-07, + "loss": 2.8496, + "step": 2152 + }, + { + "epoch": 0.99, + "grad_norm": 1.4842996707075866, + "learning_rate": 4.02438062033883e-07, + "loss": 2.7794, + "step": 2153 + }, + { + "epoch": 0.99, + "grad_norm": 1.5132708745253738, + "learning_rate": 3.7318351657616987e-07, + "loss": 2.8632, + "step": 2154 + }, + { + "epoch": 0.99, + "grad_norm": 1.4461415333412584, + "learning_rate": 3.4503237736882573e-07, + "loss": 2.8995, + "step": 2155 + }, + { + "epoch": 0.99, + "grad_norm": 1.5163029207171845, + "learning_rate": 3.179847065825081e-07, + "loss": 2.8205, + "step": 2156 + }, + { + "epoch": 0.99, + "grad_norm": 1.477348603008028, + "learning_rate": 2.9204056395104594e-07, + "loss": 2.832, + "step": 2157 + }, + { + "epoch": 0.99, + "grad_norm": 1.5989019391969521, + "learning_rate": 2.672000067709956e-07, + "loss": 2.7874, + "step": 2158 + }, + { + "epoch": 0.99, + "grad_norm": 1.4883205932371564, + "learning_rate": 2.4346308990175204e-07, + "loss": 2.8548, + "step": 2159 + }, + { + "epoch": 0.99, + "grad_norm": 1.4558890244291165, + "learning_rate": 2.208298657653818e-07, + "loss": 2.8863, + "step": 2160 + }, + { + "epoch": 0.99, + "grad_norm": 1.5205397869093804, + "learning_rate": 1.9930038434645692e-07, + "loss": 2.8617, + "step": 2161 + }, + { + "epoch": 0.99, + "grad_norm": 1.6158444752737502, + "learning_rate": 1.7887469319205484e-07, + "loss": 2.859, + "step": 2162 + }, + { + "epoch": 0.99, + "grad_norm": 1.48694798147771, + "learning_rate": 1.5955283741142523e-07, + "loss": 2.908, + "step": 2163 + }, + { + "epoch": 0.99, + "grad_norm": 1.4668354199254765, + "learning_rate": 1.4133485967615655e-07, + "loss": 2.8105, + "step": 2164 + }, + { + "epoch": 0.99, + "grad_norm": 1.591717419275098, + "learning_rate": 1.2422080021995407e-07, + "loss": 2.9679, + "step": 2165 + }, + { + "epoch": 0.99, + "grad_norm": 1.5638799798970995, + "learning_rate": 1.082106968385288e-07, + "loss": 2.8005, + "step": 2166 + }, + { + "epoch": 0.99, + "grad_norm": 1.4497120087338233, + "learning_rate": 9.330458488959748e-08, + "loss": 2.9536, + "step": 2167 + }, + { + "epoch": 0.99, + "grad_norm": 1.5329852679877578, + "learning_rate": 7.950249729271608e-08, + "loss": 2.8174, + "step": 2168 + }, + { + "epoch": 0.99, + "grad_norm": 1.6244331251030222, + "learning_rate": 6.680446452922429e-08, + "loss": 2.8932, + "step": 2169 + }, + { + "epoch": 1.0, + "grad_norm": 1.5140721728212518, + "learning_rate": 5.521051464230098e-08, + "loss": 2.8334, + "step": 2170 + }, + { + "epoch": 1.0, + "grad_norm": 1.6405194772419227, + "learning_rate": 4.4720673236631206e-08, + "loss": 2.9845, + "step": 2171 + }, + { + "epoch": 1.0, + "grad_norm": 1.5907867078086944, + "learning_rate": 3.53349634786837e-08, + "loss": 2.7952, + "step": 2172 + }, + { + "epoch": 1.0, + "grad_norm": 1.44673487807436, + "learning_rate": 2.7053406096433365e-08, + "loss": 2.964, + "step": 2173 + }, + { + "epoch": 1.0, + "grad_norm": 1.4715881735561782, + "learning_rate": 1.987601937930572e-08, + "loss": 2.8704, + "step": 2174 + }, + { + "epoch": 1.0, + "grad_norm": 1.4083924002869224, + "learning_rate": 1.3802819178398984e-08, + "loss": 2.8862, + "step": 2175 + }, + { + "epoch": 1.0, + "grad_norm": 1.636655594988435, + "learning_rate": 8.833818906039959e-09, + "loss": 2.7875, + "step": 2176 + }, + { + "epoch": 1.0, + "grad_norm": 1.4534222518680877, + "learning_rate": 4.969029536061598e-09, + "loss": 2.8833, + "step": 2177 + }, + { + "epoch": 1.0, + "grad_norm": 1.4654478883568558, + "learning_rate": 2.2084596038030037e-09, + "loss": 2.8866, + "step": 2178 + }, + { + "epoch": 1.0, + "grad_norm": 1.52024890564369, + "learning_rate": 5.521152057763601e-10, + "loss": 2.964, + "step": 2179 + }, + { + "epoch": 1.0, + "grad_norm": 1.4923017296492271, + "learning_rate": 0.0, + "loss": 2.8003, + "step": 2180 + }, + { + "epoch": 1.0, + "step": 2180, + "total_flos": 280522689478656.0, + "train_loss": 3.333065954698335, + "train_runtime": 6070.2935, + "train_samples_per_second": 91.944, + "train_steps_per_second": 0.359 + } + ], + "logging_steps": 1.0, + "max_steps": 2180, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 24000, + "total_flos": 280522689478656.0, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +}