diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,8170 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.9988925802879294, + "global_step": 1353, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 9.992609016999261e-05, + "loss": 1.0451, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 9.985218033998522e-05, + "loss": 3.8431, + "step": 2 + }, + { + "epoch": 0.01, + "learning_rate": 9.977827050997783e-05, + "loss": 4.1686, + "step": 3 + }, + { + "epoch": 0.01, + "learning_rate": 9.970436067997045e-05, + "loss": 4.1879, + "step": 4 + }, + { + "epoch": 0.01, + "learning_rate": 9.963045084996306e-05, + "loss": 4.633, + "step": 5 + }, + { + "epoch": 0.01, + "learning_rate": 9.955654101995566e-05, + "loss": 3.4155, + "step": 6 + }, + { + "epoch": 0.02, + "learning_rate": 9.948263118994827e-05, + "loss": 3.3784, + "step": 7 + }, + { + "epoch": 0.02, + "learning_rate": 9.940872135994088e-05, + "loss": 3.3627, + "step": 8 + }, + { + "epoch": 0.02, + "learning_rate": 9.933481152993348e-05, + "loss": 3.2365, + "step": 9 + }, + { + "epoch": 0.02, + "learning_rate": 9.926090169992609e-05, + "loss": 3.5945, + "step": 10 + }, + { + "epoch": 0.02, + "learning_rate": 9.91869918699187e-05, + "loss": 3.4429, + "step": 11 + }, + { + "epoch": 0.03, + "learning_rate": 9.911308203991131e-05, + "loss": 3.1824, + "step": 12 + }, + { + "epoch": 0.03, + "learning_rate": 9.903917220990391e-05, + "loss": 3.2093, + "step": 13 + }, + { + "epoch": 0.03, + "learning_rate": 9.896526237989652e-05, + "loss": 3.1471, + "step": 14 + }, + { + "epoch": 0.03, + "learning_rate": 9.889135254988914e-05, + "loss": 3.0478, + "step": 15 + }, + { + "epoch": 0.04, + "learning_rate": 9.881744271988175e-05, + "loss": 2.9833, + "step": 16 + }, + { + "epoch": 0.04, + "learning_rate": 9.874353288987436e-05, + "loss": 2.9323, + "step": 17 + }, + { + "epoch": 0.04, + "learning_rate": 9.866962305986696e-05, + "loss": 2.9048, + "step": 18 + }, + { + "epoch": 0.04, + "learning_rate": 9.859571322985957e-05, + "loss": 2.8425, + "step": 19 + }, + { + "epoch": 0.04, + "learning_rate": 9.852180339985218e-05, + "loss": 2.7644, + "step": 20 + }, + { + "epoch": 0.05, + "learning_rate": 9.84478935698448e-05, + "loss": 2.7183, + "step": 21 + }, + { + "epoch": 0.05, + "learning_rate": 9.837398373983741e-05, + "loss": 2.636, + "step": 22 + }, + { + "epoch": 0.05, + "learning_rate": 9.830007390983002e-05, + "loss": 2.5524, + "step": 23 + }, + { + "epoch": 0.05, + "learning_rate": 9.822616407982262e-05, + "loss": 2.4676, + "step": 24 + }, + { + "epoch": 0.06, + "learning_rate": 9.815225424981523e-05, + "loss": 2.3894, + "step": 25 + }, + { + "epoch": 0.06, + "learning_rate": 9.807834441980784e-05, + "loss": 2.3208, + "step": 26 + }, + { + "epoch": 0.06, + "learning_rate": 9.800443458980046e-05, + "loss": 2.2373, + "step": 27 + }, + { + "epoch": 0.06, + "learning_rate": 9.793052475979305e-05, + "loss": 2.1539, + "step": 28 + }, + { + "epoch": 0.06, + "learning_rate": 9.785661492978566e-05, + "loss": 2.068, + "step": 29 + }, + { + "epoch": 0.07, + "learning_rate": 9.778270509977827e-05, + "loss": 2.0042, + "step": 30 + }, + { + "epoch": 0.07, + "learning_rate": 9.770879526977087e-05, + "loss": 1.9648, + "step": 31 + }, + { + "epoch": 0.07, + "learning_rate": 9.76348854397635e-05, + "loss": 1.8853, + "step": 32 + }, + { + "epoch": 0.07, + "learning_rate": 9.75609756097561e-05, + "loss": 1.8292, + "step": 33 + }, + { + "epoch": 0.08, + "learning_rate": 9.748706577974871e-05, + "loss": 1.7822, + "step": 34 + }, + { + "epoch": 0.08, + "learning_rate": 9.741315594974132e-05, + "loss": 1.7378, + "step": 35 + }, + { + "epoch": 0.08, + "learning_rate": 9.733924611973393e-05, + "loss": 1.6707, + "step": 36 + }, + { + "epoch": 0.08, + "learning_rate": 9.726533628972653e-05, + "loss": 1.6189, + "step": 37 + }, + { + "epoch": 0.08, + "learning_rate": 9.719142645971915e-05, + "loss": 1.5756, + "step": 38 + }, + { + "epoch": 0.09, + "learning_rate": 9.711751662971176e-05, + "loss": 1.5198, + "step": 39 + }, + { + "epoch": 0.09, + "learning_rate": 9.704360679970437e-05, + "loss": 1.4909, + "step": 40 + }, + { + "epoch": 0.09, + "learning_rate": 9.696969696969698e-05, + "loss": 1.4441, + "step": 41 + }, + { + "epoch": 0.09, + "learning_rate": 9.689578713968958e-05, + "loss": 1.4154, + "step": 42 + }, + { + "epoch": 0.1, + "learning_rate": 9.682187730968219e-05, + "loss": 1.3827, + "step": 43 + }, + { + "epoch": 0.1, + "learning_rate": 9.674796747967481e-05, + "loss": 1.3536, + "step": 44 + }, + { + "epoch": 0.1, + "learning_rate": 9.667405764966742e-05, + "loss": 1.3125, + "step": 45 + }, + { + "epoch": 0.1, + "learning_rate": 9.660014781966001e-05, + "loss": 1.2792, + "step": 46 + }, + { + "epoch": 0.1, + "learning_rate": 9.652623798965262e-05, + "loss": 1.264, + "step": 47 + }, + { + "epoch": 0.11, + "learning_rate": 9.645232815964523e-05, + "loss": 1.2366, + "step": 48 + }, + { + "epoch": 0.11, + "learning_rate": 9.637841832963785e-05, + "loss": 1.2136, + "step": 49 + }, + { + "epoch": 0.11, + "learning_rate": 9.630450849963046e-05, + "loss": 1.2248, + "step": 50 + }, + { + "epoch": 0.11, + "learning_rate": 9.623059866962306e-05, + "loss": 1.2063, + "step": 51 + }, + { + "epoch": 0.12, + "learning_rate": 9.615668883961567e-05, + "loss": 1.2254, + "step": 52 + }, + { + "epoch": 0.12, + "learning_rate": 9.608277900960828e-05, + "loss": 1.1853, + "step": 53 + }, + { + "epoch": 0.12, + "learning_rate": 9.600886917960089e-05, + "loss": 1.1918, + "step": 54 + }, + { + "epoch": 0.12, + "learning_rate": 9.59349593495935e-05, + "loss": 1.1578, + "step": 55 + }, + { + "epoch": 0.12, + "learning_rate": 9.586104951958611e-05, + "loss": 1.1771, + "step": 56 + }, + { + "epoch": 0.13, + "learning_rate": 9.578713968957872e-05, + "loss": 1.1823, + "step": 57 + }, + { + "epoch": 0.13, + "learning_rate": 9.571322985957133e-05, + "loss": 1.1658, + "step": 58 + }, + { + "epoch": 0.13, + "learning_rate": 9.563932002956394e-05, + "loss": 1.1454, + "step": 59 + }, + { + "epoch": 0.13, + "learning_rate": 9.556541019955654e-05, + "loss": 1.1488, + "step": 60 + }, + { + "epoch": 0.14, + "learning_rate": 9.549150036954916e-05, + "loss": 1.1033, + "step": 61 + }, + { + "epoch": 0.14, + "learning_rate": 9.541759053954177e-05, + "loss": 1.1537, + "step": 62 + }, + { + "epoch": 0.14, + "learning_rate": 9.534368070953438e-05, + "loss": 1.1373, + "step": 63 + }, + { + "epoch": 0.14, + "learning_rate": 9.526977087952697e-05, + "loss": 1.1266, + "step": 64 + }, + { + "epoch": 0.14, + "learning_rate": 9.519586104951958e-05, + "loss": 1.1476, + "step": 65 + }, + { + "epoch": 0.15, + "learning_rate": 9.51219512195122e-05, + "loss": 1.124, + "step": 66 + }, + { + "epoch": 0.15, + "learning_rate": 9.504804138950481e-05, + "loss": 1.1024, + "step": 67 + }, + { + "epoch": 0.15, + "learning_rate": 9.497413155949742e-05, + "loss": 1.1007, + "step": 68 + }, + { + "epoch": 0.15, + "learning_rate": 9.490022172949002e-05, + "loss": 1.1147, + "step": 69 + }, + { + "epoch": 0.16, + "learning_rate": 9.482631189948263e-05, + "loss": 1.122, + "step": 70 + }, + { + "epoch": 0.16, + "learning_rate": 9.475240206947524e-05, + "loss": 1.1051, + "step": 71 + }, + { + "epoch": 0.16, + "learning_rate": 9.467849223946786e-05, + "loss": 1.1096, + "step": 72 + }, + { + "epoch": 0.16, + "learning_rate": 9.460458240946047e-05, + "loss": 1.1002, + "step": 73 + }, + { + "epoch": 0.16, + "learning_rate": 9.453067257945307e-05, + "loss": 1.0841, + "step": 74 + }, + { + "epoch": 0.17, + "learning_rate": 9.445676274944568e-05, + "loss": 1.0895, + "step": 75 + }, + { + "epoch": 0.17, + "learning_rate": 9.438285291943829e-05, + "loss": 1.0664, + "step": 76 + }, + { + "epoch": 0.17, + "learning_rate": 9.43089430894309e-05, + "loss": 1.1017, + "step": 77 + }, + { + "epoch": 0.17, + "learning_rate": 9.423503325942352e-05, + "loss": 1.085, + "step": 78 + }, + { + "epoch": 0.17, + "learning_rate": 9.416112342941612e-05, + "loss": 1.0883, + "step": 79 + }, + { + "epoch": 0.18, + "learning_rate": 9.408721359940873e-05, + "loss": 1.0971, + "step": 80 + }, + { + "epoch": 0.18, + "learning_rate": 9.401330376940134e-05, + "loss": 1.0812, + "step": 81 + }, + { + "epoch": 0.18, + "learning_rate": 9.393939393939395e-05, + "loss": 1.0899, + "step": 82 + }, + { + "epoch": 0.18, + "learning_rate": 9.386548410938655e-05, + "loss": 1.0572, + "step": 83 + }, + { + "epoch": 0.19, + "learning_rate": 9.379157427937916e-05, + "loss": 1.0804, + "step": 84 + }, + { + "epoch": 0.19, + "learning_rate": 9.371766444937177e-05, + "loss": 1.0625, + "step": 85 + }, + { + "epoch": 0.19, + "learning_rate": 9.364375461936438e-05, + "loss": 1.0475, + "step": 86 + }, + { + "epoch": 0.19, + "learning_rate": 9.356984478935698e-05, + "loss": 1.0685, + "step": 87 + }, + { + "epoch": 0.19, + "learning_rate": 9.349593495934959e-05, + "loss": 1.0713, + "step": 88 + }, + { + "epoch": 0.2, + "learning_rate": 9.342202512934221e-05, + "loss": 1.0734, + "step": 89 + }, + { + "epoch": 0.2, + "learning_rate": 9.334811529933482e-05, + "loss": 1.0612, + "step": 90 + }, + { + "epoch": 0.2, + "learning_rate": 9.327420546932743e-05, + "loss": 1.0677, + "step": 91 + }, + { + "epoch": 0.2, + "learning_rate": 9.320029563932003e-05, + "loss": 1.045, + "step": 92 + }, + { + "epoch": 0.21, + "learning_rate": 9.312638580931264e-05, + "loss": 1.0542, + "step": 93 + }, + { + "epoch": 0.21, + "learning_rate": 9.305247597930525e-05, + "loss": 1.0559, + "step": 94 + }, + { + "epoch": 0.21, + "learning_rate": 9.297856614929787e-05, + "loss": 1.0632, + "step": 95 + }, + { + "epoch": 0.21, + "learning_rate": 9.290465631929048e-05, + "loss": 1.0478, + "step": 96 + }, + { + "epoch": 0.21, + "learning_rate": 9.283074648928308e-05, + "loss": 1.0505, + "step": 97 + }, + { + "epoch": 0.22, + "learning_rate": 9.275683665927569e-05, + "loss": 1.0342, + "step": 98 + }, + { + "epoch": 0.22, + "learning_rate": 9.26829268292683e-05, + "loss": 1.045, + "step": 99 + }, + { + "epoch": 0.22, + "learning_rate": 9.26090169992609e-05, + "loss": 1.0467, + "step": 100 + }, + { + "epoch": 0.22, + "learning_rate": 9.253510716925351e-05, + "loss": 1.0632, + "step": 101 + }, + { + "epoch": 0.23, + "learning_rate": 9.246119733924612e-05, + "loss": 1.065, + "step": 102 + }, + { + "epoch": 0.23, + "learning_rate": 9.238728750923873e-05, + "loss": 1.0673, + "step": 103 + }, + { + "epoch": 0.23, + "learning_rate": 9.231337767923134e-05, + "loss": 1.0433, + "step": 104 + }, + { + "epoch": 0.23, + "learning_rate": 9.223946784922394e-05, + "loss": 1.0589, + "step": 105 + }, + { + "epoch": 0.23, + "learning_rate": 9.216555801921656e-05, + "loss": 1.0636, + "step": 106 + }, + { + "epoch": 0.24, + "learning_rate": 9.209164818920917e-05, + "loss": 1.0308, + "step": 107 + }, + { + "epoch": 0.24, + "learning_rate": 9.201773835920178e-05, + "loss": 1.0593, + "step": 108 + }, + { + "epoch": 0.24, + "learning_rate": 9.194382852919439e-05, + "loss": 1.0585, + "step": 109 + }, + { + "epoch": 0.24, + "learning_rate": 9.1869918699187e-05, + "loss": 1.0257, + "step": 110 + }, + { + "epoch": 0.25, + "learning_rate": 9.17960088691796e-05, + "loss": 1.0379, + "step": 111 + }, + { + "epoch": 0.25, + "learning_rate": 9.172209903917222e-05, + "loss": 1.0441, + "step": 112 + }, + { + "epoch": 0.25, + "learning_rate": 9.164818920916483e-05, + "loss": 1.0517, + "step": 113 + }, + { + "epoch": 0.25, + "learning_rate": 9.157427937915744e-05, + "loss": 1.0289, + "step": 114 + }, + { + "epoch": 0.25, + "learning_rate": 9.150036954915004e-05, + "loss": 1.0441, + "step": 115 + }, + { + "epoch": 0.26, + "learning_rate": 9.142645971914265e-05, + "loss": 1.0235, + "step": 116 + }, + { + "epoch": 0.26, + "learning_rate": 9.135254988913526e-05, + "loss": 1.0419, + "step": 117 + }, + { + "epoch": 0.26, + "learning_rate": 9.127864005912788e-05, + "loss": 1.049, + "step": 118 + }, + { + "epoch": 0.26, + "learning_rate": 9.120473022912047e-05, + "loss": 1.0248, + "step": 119 + }, + { + "epoch": 0.27, + "learning_rate": 9.113082039911308e-05, + "loss": 1.0314, + "step": 120 + }, + { + "epoch": 0.27, + "learning_rate": 9.105691056910569e-05, + "loss": 1.0316, + "step": 121 + }, + { + "epoch": 0.27, + "learning_rate": 9.09830007390983e-05, + "loss": 1.038, + "step": 122 + }, + { + "epoch": 0.27, + "learning_rate": 9.090909090909092e-05, + "loss": 1.0373, + "step": 123 + }, + { + "epoch": 0.27, + "learning_rate": 9.083518107908352e-05, + "loss": 1.0313, + "step": 124 + }, + { + "epoch": 0.28, + "learning_rate": 9.076127124907613e-05, + "loss": 1.0317, + "step": 125 + }, + { + "epoch": 0.28, + "learning_rate": 9.068736141906874e-05, + "loss": 1.0202, + "step": 126 + }, + { + "epoch": 0.28, + "learning_rate": 9.061345158906135e-05, + "loss": 1.0621, + "step": 127 + }, + { + "epoch": 0.28, + "learning_rate": 9.053954175905395e-05, + "loss": 1.0052, + "step": 128 + }, + { + "epoch": 0.29, + "learning_rate": 9.046563192904656e-05, + "loss": 1.023, + "step": 129 + }, + { + "epoch": 0.29, + "learning_rate": 9.039172209903918e-05, + "loss": 1.0052, + "step": 130 + }, + { + "epoch": 0.29, + "learning_rate": 9.031781226903179e-05, + "loss": 1.0358, + "step": 131 + }, + { + "epoch": 0.29, + "learning_rate": 9.02439024390244e-05, + "loss": 1.0257, + "step": 132 + }, + { + "epoch": 0.29, + "learning_rate": 9.0169992609017e-05, + "loss": 1.0233, + "step": 133 + }, + { + "epoch": 0.3, + "learning_rate": 9.009608277900961e-05, + "loss": 1.0122, + "step": 134 + }, + { + "epoch": 0.3, + "learning_rate": 9.002217294900222e-05, + "loss": 0.9906, + "step": 135 + }, + { + "epoch": 0.3, + "learning_rate": 8.994826311899484e-05, + "loss": 1.0247, + "step": 136 + }, + { + "epoch": 0.3, + "learning_rate": 8.987435328898745e-05, + "loss": 1.0287, + "step": 137 + }, + { + "epoch": 0.31, + "learning_rate": 8.980044345898004e-05, + "loss": 1.0192, + "step": 138 + }, + { + "epoch": 0.31, + "learning_rate": 8.972653362897265e-05, + "loss": 1.007, + "step": 139 + }, + { + "epoch": 0.31, + "learning_rate": 8.965262379896526e-05, + "loss": 1.0074, + "step": 140 + }, + { + "epoch": 0.31, + "learning_rate": 8.957871396895788e-05, + "loss": 1.0187, + "step": 141 + }, + { + "epoch": 0.31, + "learning_rate": 8.950480413895048e-05, + "loss": 1.0192, + "step": 142 + }, + { + "epoch": 0.32, + "learning_rate": 8.943089430894309e-05, + "loss": 1.0086, + "step": 143 + }, + { + "epoch": 0.32, + "learning_rate": 8.93569844789357e-05, + "loss": 0.9988, + "step": 144 + }, + { + "epoch": 0.32, + "learning_rate": 8.928307464892831e-05, + "loss": 1.0108, + "step": 145 + }, + { + "epoch": 0.32, + "learning_rate": 8.920916481892091e-05, + "loss": 1.0013, + "step": 146 + }, + { + "epoch": 0.33, + "learning_rate": 8.913525498891354e-05, + "loss": 1.0042, + "step": 147 + }, + { + "epoch": 0.33, + "learning_rate": 8.906134515890614e-05, + "loss": 0.993, + "step": 148 + }, + { + "epoch": 0.33, + "learning_rate": 8.898743532889875e-05, + "loss": 1.0033, + "step": 149 + }, + { + "epoch": 0.33, + "learning_rate": 8.891352549889136e-05, + "loss": 1.0007, + "step": 150 + }, + { + "epoch": 0.33, + "learning_rate": 8.883961566888396e-05, + "loss": 0.9968, + "step": 151 + }, + { + "epoch": 0.34, + "learning_rate": 8.876570583887657e-05, + "loss": 1.0201, + "step": 152 + }, + { + "epoch": 0.34, + "learning_rate": 8.869179600886919e-05, + "loss": 1.0137, + "step": 153 + }, + { + "epoch": 0.34, + "learning_rate": 8.86178861788618e-05, + "loss": 1.0233, + "step": 154 + }, + { + "epoch": 0.34, + "learning_rate": 8.854397634885441e-05, + "loss": 0.9938, + "step": 155 + }, + { + "epoch": 0.35, + "learning_rate": 8.8470066518847e-05, + "loss": 0.988, + "step": 156 + }, + { + "epoch": 0.35, + "learning_rate": 8.839615668883961e-05, + "loss": 0.9947, + "step": 157 + }, + { + "epoch": 0.35, + "learning_rate": 8.832224685883223e-05, + "loss": 0.9819, + "step": 158 + }, + { + "epoch": 0.35, + "learning_rate": 8.824833702882484e-05, + "loss": 0.9967, + "step": 159 + }, + { + "epoch": 0.35, + "learning_rate": 8.817442719881744e-05, + "loss": 1.0239, + "step": 160 + }, + { + "epoch": 0.36, + "learning_rate": 8.810051736881005e-05, + "loss": 0.9696, + "step": 161 + }, + { + "epoch": 0.36, + "learning_rate": 8.802660753880266e-05, + "loss": 0.9997, + "step": 162 + }, + { + "epoch": 0.36, + "learning_rate": 8.795269770879527e-05, + "loss": 0.9927, + "step": 163 + }, + { + "epoch": 0.36, + "learning_rate": 8.787878787878789e-05, + "loss": 0.9806, + "step": 164 + }, + { + "epoch": 0.37, + "learning_rate": 8.78048780487805e-05, + "loss": 0.9724, + "step": 165 + }, + { + "epoch": 0.37, + "learning_rate": 8.77309682187731e-05, + "loss": 1.0076, + "step": 166 + }, + { + "epoch": 0.37, + "learning_rate": 8.765705838876571e-05, + "loss": 0.9766, + "step": 167 + }, + { + "epoch": 0.37, + "learning_rate": 8.758314855875832e-05, + "loss": 1.027, + "step": 168 + }, + { + "epoch": 0.37, + "learning_rate": 8.750923872875092e-05, + "loss": 0.9988, + "step": 169 + }, + { + "epoch": 0.38, + "learning_rate": 8.743532889874355e-05, + "loss": 0.9907, + "step": 170 + }, + { + "epoch": 0.38, + "learning_rate": 8.736141906873615e-05, + "loss": 0.9686, + "step": 171 + }, + { + "epoch": 0.38, + "learning_rate": 8.728750923872876e-05, + "loss": 0.9985, + "step": 172 + }, + { + "epoch": 0.38, + "learning_rate": 8.721359940872137e-05, + "loss": 0.9995, + "step": 173 + }, + { + "epoch": 0.39, + "learning_rate": 8.713968957871396e-05, + "loss": 0.9907, + "step": 174 + }, + { + "epoch": 0.39, + "learning_rate": 8.706577974870658e-05, + "loss": 1.0031, + "step": 175 + }, + { + "epoch": 0.39, + "learning_rate": 8.699186991869919e-05, + "loss": 0.9838, + "step": 176 + }, + { + "epoch": 0.39, + "learning_rate": 8.69179600886918e-05, + "loss": 1.0116, + "step": 177 + }, + { + "epoch": 0.39, + "learning_rate": 8.68440502586844e-05, + "loss": 0.9775, + "step": 178 + }, + { + "epoch": 0.4, + "learning_rate": 8.677014042867701e-05, + "loss": 0.9743, + "step": 179 + }, + { + "epoch": 0.4, + "learning_rate": 8.669623059866962e-05, + "loss": 0.9861, + "step": 180 + }, + { + "epoch": 0.4, + "learning_rate": 8.662232076866224e-05, + "loss": 0.9761, + "step": 181 + }, + { + "epoch": 0.4, + "learning_rate": 8.654841093865485e-05, + "loss": 0.9742, + "step": 182 + }, + { + "epoch": 0.41, + "learning_rate": 8.647450110864746e-05, + "loss": 0.9878, + "step": 183 + }, + { + "epoch": 0.41, + "learning_rate": 8.640059127864006e-05, + "loss": 0.9682, + "step": 184 + }, + { + "epoch": 0.41, + "learning_rate": 8.632668144863267e-05, + "loss": 0.9822, + "step": 185 + }, + { + "epoch": 0.41, + "learning_rate": 8.625277161862528e-05, + "loss": 0.9825, + "step": 186 + }, + { + "epoch": 0.41, + "learning_rate": 8.61788617886179e-05, + "loss": 0.9977, + "step": 187 + }, + { + "epoch": 0.42, + "learning_rate": 8.61049519586105e-05, + "loss": 0.9965, + "step": 188 + }, + { + "epoch": 0.42, + "learning_rate": 8.603104212860311e-05, + "loss": 0.9943, + "step": 189 + }, + { + "epoch": 0.42, + "learning_rate": 8.595713229859572e-05, + "loss": 0.9714, + "step": 190 + }, + { + "epoch": 0.42, + "learning_rate": 8.588322246858833e-05, + "loss": 0.9891, + "step": 191 + }, + { + "epoch": 0.43, + "learning_rate": 8.580931263858094e-05, + "loss": 0.9951, + "step": 192 + }, + { + "epoch": 0.43, + "learning_rate": 8.573540280857354e-05, + "loss": 1.0029, + "step": 193 + }, + { + "epoch": 0.43, + "learning_rate": 8.566149297856615e-05, + "loss": 0.9935, + "step": 194 + }, + { + "epoch": 0.43, + "learning_rate": 8.558758314855876e-05, + "loss": 0.9812, + "step": 195 + }, + { + "epoch": 0.43, + "learning_rate": 8.551367331855137e-05, + "loss": 0.979, + "step": 196 + }, + { + "epoch": 0.44, + "learning_rate": 8.543976348854397e-05, + "loss": 0.971, + "step": 197 + }, + { + "epoch": 0.44, + "learning_rate": 8.53658536585366e-05, + "loss": 0.9928, + "step": 198 + }, + { + "epoch": 0.44, + "learning_rate": 8.52919438285292e-05, + "loss": 0.9819, + "step": 199 + }, + { + "epoch": 0.44, + "learning_rate": 8.521803399852181e-05, + "loss": 0.9603, + "step": 200 + }, + { + "epoch": 0.45, + "learning_rate": 8.514412416851442e-05, + "loss": 0.9798, + "step": 201 + }, + { + "epoch": 0.45, + "learning_rate": 8.507021433850702e-05, + "loss": 0.9626, + "step": 202 + }, + { + "epoch": 0.45, + "learning_rate": 8.499630450849963e-05, + "loss": 0.9701, + "step": 203 + }, + { + "epoch": 0.45, + "learning_rate": 8.492239467849225e-05, + "loss": 0.9601, + "step": 204 + }, + { + "epoch": 0.45, + "learning_rate": 8.484848484848486e-05, + "loss": 0.9801, + "step": 205 + }, + { + "epoch": 0.46, + "learning_rate": 8.477457501847747e-05, + "loss": 0.9757, + "step": 206 + }, + { + "epoch": 0.46, + "learning_rate": 8.470066518847007e-05, + "loss": 0.9777, + "step": 207 + }, + { + "epoch": 0.46, + "learning_rate": 8.462675535846268e-05, + "loss": 0.9564, + "step": 208 + }, + { + "epoch": 0.46, + "learning_rate": 8.455284552845529e-05, + "loss": 0.9692, + "step": 209 + }, + { + "epoch": 0.47, + "learning_rate": 8.447893569844791e-05, + "loss": 0.9658, + "step": 210 + }, + { + "epoch": 0.47, + "learning_rate": 8.44050258684405e-05, + "loss": 0.9849, + "step": 211 + }, + { + "epoch": 0.47, + "learning_rate": 8.433111603843311e-05, + "loss": 0.9817, + "step": 212 + }, + { + "epoch": 0.47, + "learning_rate": 8.425720620842572e-05, + "loss": 0.9945, + "step": 213 + }, + { + "epoch": 0.47, + "learning_rate": 8.418329637841833e-05, + "loss": 0.9493, + "step": 214 + }, + { + "epoch": 0.48, + "learning_rate": 8.410938654841095e-05, + "loss": 0.9654, + "step": 215 + }, + { + "epoch": 0.48, + "learning_rate": 8.403547671840355e-05, + "loss": 0.973, + "step": 216 + }, + { + "epoch": 0.48, + "learning_rate": 8.396156688839616e-05, + "loss": 0.9676, + "step": 217 + }, + { + "epoch": 0.48, + "learning_rate": 8.388765705838877e-05, + "loss": 0.9553, + "step": 218 + }, + { + "epoch": 0.49, + "learning_rate": 8.381374722838138e-05, + "loss": 0.9632, + "step": 219 + }, + { + "epoch": 0.49, + "learning_rate": 8.373983739837398e-05, + "loss": 0.9514, + "step": 220 + }, + { + "epoch": 0.49, + "learning_rate": 8.36659275683666e-05, + "loss": 0.9498, + "step": 221 + }, + { + "epoch": 0.49, + "learning_rate": 8.359201773835921e-05, + "loss": 0.9451, + "step": 222 + }, + { + "epoch": 0.49, + "learning_rate": 8.351810790835182e-05, + "loss": 0.9893, + "step": 223 + }, + { + "epoch": 0.5, + "learning_rate": 8.344419807834443e-05, + "loss": 0.9861, + "step": 224 + }, + { + "epoch": 0.5, + "learning_rate": 8.337028824833703e-05, + "loss": 0.94, + "step": 225 + }, + { + "epoch": 0.5, + "learning_rate": 8.329637841832964e-05, + "loss": 0.9659, + "step": 226 + }, + { + "epoch": 0.5, + "learning_rate": 8.322246858832226e-05, + "loss": 0.9403, + "step": 227 + }, + { + "epoch": 0.5, + "learning_rate": 8.314855875831487e-05, + "loss": 0.9683, + "step": 228 + }, + { + "epoch": 0.51, + "learning_rate": 8.307464892830746e-05, + "loss": 0.9597, + "step": 229 + }, + { + "epoch": 0.51, + "learning_rate": 8.300073909830007e-05, + "loss": 0.926, + "step": 230 + }, + { + "epoch": 0.51, + "learning_rate": 8.292682926829268e-05, + "loss": 0.9518, + "step": 231 + }, + { + "epoch": 0.51, + "learning_rate": 8.28529194382853e-05, + "loss": 0.9683, + "step": 232 + }, + { + "epoch": 0.52, + "learning_rate": 8.27790096082779e-05, + "loss": 0.9516, + "step": 233 + }, + { + "epoch": 0.52, + "learning_rate": 8.270509977827051e-05, + "loss": 0.9467, + "step": 234 + }, + { + "epoch": 0.52, + "learning_rate": 8.263118994826312e-05, + "loss": 0.9752, + "step": 235 + }, + { + "epoch": 0.52, + "learning_rate": 8.255728011825573e-05, + "loss": 0.9506, + "step": 236 + }, + { + "epoch": 0.52, + "learning_rate": 8.248337028824834e-05, + "loss": 0.9516, + "step": 237 + }, + { + "epoch": 0.53, + "learning_rate": 8.240946045824096e-05, + "loss": 0.9787, + "step": 238 + }, + { + "epoch": 0.53, + "learning_rate": 8.233555062823356e-05, + "loss": 0.9477, + "step": 239 + }, + { + "epoch": 0.53, + "learning_rate": 8.226164079822617e-05, + "loss": 0.9686, + "step": 240 + }, + { + "epoch": 0.53, + "learning_rate": 8.218773096821878e-05, + "loss": 0.9642, + "step": 241 + }, + { + "epoch": 0.54, + "learning_rate": 8.211382113821139e-05, + "loss": 0.9792, + "step": 242 + }, + { + "epoch": 0.54, + "learning_rate": 8.2039911308204e-05, + "loss": 0.9794, + "step": 243 + }, + { + "epoch": 0.54, + "learning_rate": 8.19660014781966e-05, + "loss": 0.9446, + "step": 244 + }, + { + "epoch": 0.54, + "learning_rate": 8.189209164818922e-05, + "loss": 0.9402, + "step": 245 + }, + { + "epoch": 0.54, + "learning_rate": 8.181818181818183e-05, + "loss": 0.9475, + "step": 246 + }, + { + "epoch": 0.55, + "learning_rate": 8.174427198817442e-05, + "loss": 0.9269, + "step": 247 + }, + { + "epoch": 0.55, + "learning_rate": 8.167036215816703e-05, + "loss": 0.9432, + "step": 248 + }, + { + "epoch": 0.55, + "learning_rate": 8.159645232815965e-05, + "loss": 0.9557, + "step": 249 + }, + { + "epoch": 0.55, + "learning_rate": 8.152254249815226e-05, + "loss": 0.9549, + "step": 250 + }, + { + "epoch": 0.56, + "learning_rate": 8.144863266814487e-05, + "loss": 0.9571, + "step": 251 + }, + { + "epoch": 0.56, + "learning_rate": 8.137472283813747e-05, + "loss": 0.9229, + "step": 252 + }, + { + "epoch": 0.56, + "learning_rate": 8.130081300813008e-05, + "loss": 0.9485, + "step": 253 + }, + { + "epoch": 0.56, + "learning_rate": 8.122690317812269e-05, + "loss": 0.936, + "step": 254 + }, + { + "epoch": 0.56, + "learning_rate": 8.11529933481153e-05, + "loss": 0.9451, + "step": 255 + }, + { + "epoch": 0.57, + "learning_rate": 8.107908351810792e-05, + "loss": 0.9275, + "step": 256 + }, + { + "epoch": 0.57, + "learning_rate": 8.100517368810052e-05, + "loss": 0.9603, + "step": 257 + }, + { + "epoch": 0.57, + "learning_rate": 8.093126385809313e-05, + "loss": 0.9744, + "step": 258 + }, + { + "epoch": 0.57, + "learning_rate": 8.085735402808574e-05, + "loss": 0.9491, + "step": 259 + }, + { + "epoch": 0.58, + "learning_rate": 8.078344419807835e-05, + "loss": 0.9197, + "step": 260 + }, + { + "epoch": 0.58, + "learning_rate": 8.070953436807095e-05, + "loss": 0.9557, + "step": 261 + }, + { + "epoch": 0.58, + "learning_rate": 8.063562453806357e-05, + "loss": 0.957, + "step": 262 + }, + { + "epoch": 0.58, + "learning_rate": 8.056171470805618e-05, + "loss": 0.9301, + "step": 263 + }, + { + "epoch": 0.58, + "learning_rate": 8.048780487804879e-05, + "loss": 0.9392, + "step": 264 + }, + { + "epoch": 0.59, + "learning_rate": 8.04138950480414e-05, + "loss": 0.9258, + "step": 265 + }, + { + "epoch": 0.59, + "learning_rate": 8.033998521803399e-05, + "loss": 0.934, + "step": 266 + }, + { + "epoch": 0.59, + "learning_rate": 8.026607538802661e-05, + "loss": 0.9387, + "step": 267 + }, + { + "epoch": 0.59, + "learning_rate": 8.019216555801922e-05, + "loss": 0.9501, + "step": 268 + }, + { + "epoch": 0.6, + "learning_rate": 8.011825572801183e-05, + "loss": 0.9392, + "step": 269 + }, + { + "epoch": 0.6, + "learning_rate": 8.004434589800443e-05, + "loss": 0.9384, + "step": 270 + }, + { + "epoch": 0.6, + "learning_rate": 7.997043606799704e-05, + "loss": 0.9287, + "step": 271 + }, + { + "epoch": 0.6, + "learning_rate": 7.989652623798965e-05, + "loss": 0.9518, + "step": 272 + }, + { + "epoch": 0.6, + "learning_rate": 7.982261640798227e-05, + "loss": 0.9368, + "step": 273 + }, + { + "epoch": 0.61, + "learning_rate": 7.974870657797488e-05, + "loss": 0.9392, + "step": 274 + }, + { + "epoch": 0.61, + "learning_rate": 7.967479674796748e-05, + "loss": 0.948, + "step": 275 + }, + { + "epoch": 0.61, + "learning_rate": 7.960088691796009e-05, + "loss": 0.9303, + "step": 276 + }, + { + "epoch": 0.61, + "learning_rate": 7.95269770879527e-05, + "loss": 0.8942, + "step": 277 + }, + { + "epoch": 0.62, + "learning_rate": 7.94530672579453e-05, + "loss": 0.9253, + "step": 278 + }, + { + "epoch": 0.62, + "learning_rate": 7.937915742793793e-05, + "loss": 0.9061, + "step": 279 + }, + { + "epoch": 0.62, + "learning_rate": 7.930524759793053e-05, + "loss": 0.9449, + "step": 280 + }, + { + "epoch": 0.62, + "learning_rate": 7.923133776792314e-05, + "loss": 0.9148, + "step": 281 + }, + { + "epoch": 0.62, + "learning_rate": 7.915742793791575e-05, + "loss": 0.9449, + "step": 282 + }, + { + "epoch": 0.63, + "learning_rate": 7.908351810790836e-05, + "loss": 0.9259, + "step": 283 + }, + { + "epoch": 0.63, + "learning_rate": 7.900960827790096e-05, + "loss": 0.9166, + "step": 284 + }, + { + "epoch": 0.63, + "learning_rate": 7.893569844789357e-05, + "loss": 0.9077, + "step": 285 + }, + { + "epoch": 0.63, + "learning_rate": 7.886178861788618e-05, + "loss": 0.9183, + "step": 286 + }, + { + "epoch": 0.64, + "learning_rate": 7.878787878787879e-05, + "loss": 0.9027, + "step": 287 + }, + { + "epoch": 0.64, + "learning_rate": 7.87139689578714e-05, + "loss": 0.9168, + "step": 288 + }, + { + "epoch": 0.64, + "learning_rate": 7.8640059127864e-05, + "loss": 0.9315, + "step": 289 + }, + { + "epoch": 0.64, + "learning_rate": 7.856614929785662e-05, + "loss": 0.9241, + "step": 290 + }, + { + "epoch": 0.64, + "learning_rate": 7.849223946784923e-05, + "loss": 0.9114, + "step": 291 + }, + { + "epoch": 0.65, + "learning_rate": 7.841832963784184e-05, + "loss": 0.9422, + "step": 292 + }, + { + "epoch": 0.65, + "learning_rate": 7.834441980783444e-05, + "loss": 0.9066, + "step": 293 + }, + { + "epoch": 0.65, + "learning_rate": 7.827050997782705e-05, + "loss": 0.9089, + "step": 294 + }, + { + "epoch": 0.65, + "learning_rate": 7.819660014781966e-05, + "loss": 0.9189, + "step": 295 + }, + { + "epoch": 0.66, + "learning_rate": 7.812269031781228e-05, + "loss": 0.8879, + "step": 296 + }, + { + "epoch": 0.66, + "learning_rate": 7.804878048780489e-05, + "loss": 0.8975, + "step": 297 + }, + { + "epoch": 0.66, + "learning_rate": 7.79748706577975e-05, + "loss": 0.9212, + "step": 298 + }, + { + "epoch": 0.66, + "learning_rate": 7.79009608277901e-05, + "loss": 0.8963, + "step": 299 + }, + { + "epoch": 0.66, + "learning_rate": 7.782705099778271e-05, + "loss": 0.9264, + "step": 300 + }, + { + "epoch": 0.67, + "learning_rate": 7.775314116777532e-05, + "loss": 0.9348, + "step": 301 + }, + { + "epoch": 0.67, + "learning_rate": 7.767923133776792e-05, + "loss": 0.9171, + "step": 302 + }, + { + "epoch": 0.67, + "learning_rate": 7.760532150776053e-05, + "loss": 0.9223, + "step": 303 + }, + { + "epoch": 0.67, + "learning_rate": 7.753141167775314e-05, + "loss": 0.902, + "step": 304 + }, + { + "epoch": 0.68, + "learning_rate": 7.745750184774575e-05, + "loss": 0.9099, + "step": 305 + }, + { + "epoch": 0.68, + "learning_rate": 7.738359201773835e-05, + "loss": 0.9211, + "step": 306 + }, + { + "epoch": 0.68, + "learning_rate": 7.730968218773098e-05, + "loss": 0.9131, + "step": 307 + }, + { + "epoch": 0.68, + "learning_rate": 7.723577235772358e-05, + "loss": 0.9035, + "step": 308 + }, + { + "epoch": 0.68, + "learning_rate": 7.716186252771619e-05, + "loss": 0.9464, + "step": 309 + }, + { + "epoch": 0.69, + "learning_rate": 7.70879526977088e-05, + "loss": 0.925, + "step": 310 + }, + { + "epoch": 0.69, + "learning_rate": 7.70140428677014e-05, + "loss": 0.9286, + "step": 311 + }, + { + "epoch": 0.69, + "learning_rate": 7.694013303769401e-05, + "loss": 0.9381, + "step": 312 + }, + { + "epoch": 0.69, + "learning_rate": 7.686622320768663e-05, + "loss": 0.9158, + "step": 313 + }, + { + "epoch": 0.7, + "learning_rate": 7.679231337767924e-05, + "loss": 0.9184, + "step": 314 + }, + { + "epoch": 0.7, + "learning_rate": 7.671840354767185e-05, + "loss": 0.9114, + "step": 315 + }, + { + "epoch": 0.7, + "learning_rate": 7.664449371766446e-05, + "loss": 0.8987, + "step": 316 + }, + { + "epoch": 0.7, + "learning_rate": 7.657058388765706e-05, + "loss": 0.9153, + "step": 317 + }, + { + "epoch": 0.7, + "learning_rate": 7.649667405764967e-05, + "loss": 0.9236, + "step": 318 + }, + { + "epoch": 0.71, + "learning_rate": 7.642276422764229e-05, + "loss": 0.9105, + "step": 319 + }, + { + "epoch": 0.71, + "learning_rate": 7.634885439763488e-05, + "loss": 0.9024, + "step": 320 + }, + { + "epoch": 0.71, + "learning_rate": 7.627494456762749e-05, + "loss": 0.9225, + "step": 321 + }, + { + "epoch": 0.71, + "learning_rate": 7.62010347376201e-05, + "loss": 0.8984, + "step": 322 + }, + { + "epoch": 0.72, + "learning_rate": 7.612712490761271e-05, + "loss": 0.9116, + "step": 323 + }, + { + "epoch": 0.72, + "learning_rate": 7.605321507760533e-05, + "loss": 0.8936, + "step": 324 + }, + { + "epoch": 0.72, + "learning_rate": 7.597930524759794e-05, + "loss": 0.9155, + "step": 325 + }, + { + "epoch": 0.72, + "learning_rate": 7.590539541759054e-05, + "loss": 0.9079, + "step": 326 + }, + { + "epoch": 0.72, + "learning_rate": 7.583148558758315e-05, + "loss": 0.8987, + "step": 327 + }, + { + "epoch": 0.73, + "learning_rate": 7.575757575757576e-05, + "loss": 0.9167, + "step": 328 + }, + { + "epoch": 0.73, + "learning_rate": 7.568366592756836e-05, + "loss": 0.897, + "step": 329 + }, + { + "epoch": 0.73, + "learning_rate": 7.560975609756099e-05, + "loss": 0.8923, + "step": 330 + }, + { + "epoch": 0.73, + "learning_rate": 7.55358462675536e-05, + "loss": 0.8807, + "step": 331 + }, + { + "epoch": 0.74, + "learning_rate": 7.54619364375462e-05, + "loss": 0.8959, + "step": 332 + }, + { + "epoch": 0.74, + "learning_rate": 7.538802660753881e-05, + "loss": 0.8835, + "step": 333 + }, + { + "epoch": 0.74, + "learning_rate": 7.531411677753142e-05, + "loss": 0.9158, + "step": 334 + }, + { + "epoch": 0.74, + "learning_rate": 7.524020694752402e-05, + "loss": 0.9144, + "step": 335 + }, + { + "epoch": 0.74, + "learning_rate": 7.516629711751664e-05, + "loss": 0.8882, + "step": 336 + }, + { + "epoch": 0.75, + "learning_rate": 7.509238728750925e-05, + "loss": 0.9033, + "step": 337 + }, + { + "epoch": 0.75, + "learning_rate": 7.501847745750186e-05, + "loss": 0.9014, + "step": 338 + }, + { + "epoch": 0.75, + "learning_rate": 7.494456762749445e-05, + "loss": 0.8739, + "step": 339 + }, + { + "epoch": 0.75, + "learning_rate": 7.487065779748706e-05, + "loss": 0.8935, + "step": 340 + }, + { + "epoch": 0.76, + "learning_rate": 7.479674796747968e-05, + "loss": 0.8744, + "step": 341 + }, + { + "epoch": 0.76, + "learning_rate": 7.472283813747229e-05, + "loss": 0.8975, + "step": 342 + }, + { + "epoch": 0.76, + "learning_rate": 7.46489283074649e-05, + "loss": 0.8932, + "step": 343 + }, + { + "epoch": 0.76, + "learning_rate": 7.45750184774575e-05, + "loss": 0.9007, + "step": 344 + }, + { + "epoch": 0.76, + "learning_rate": 7.450110864745011e-05, + "loss": 0.8956, + "step": 345 + }, + { + "epoch": 0.77, + "learning_rate": 7.442719881744272e-05, + "loss": 0.9183, + "step": 346 + }, + { + "epoch": 0.77, + "learning_rate": 7.435328898743534e-05, + "loss": 0.9186, + "step": 347 + }, + { + "epoch": 0.77, + "learning_rate": 7.427937915742795e-05, + "loss": 0.9008, + "step": 348 + }, + { + "epoch": 0.77, + "learning_rate": 7.420546932742055e-05, + "loss": 0.9091, + "step": 349 + }, + { + "epoch": 0.78, + "learning_rate": 7.413155949741316e-05, + "loss": 0.8968, + "step": 350 + }, + { + "epoch": 0.78, + "learning_rate": 7.405764966740577e-05, + "loss": 0.8865, + "step": 351 + }, + { + "epoch": 0.78, + "learning_rate": 7.398373983739838e-05, + "loss": 0.8842, + "step": 352 + }, + { + "epoch": 0.78, + "learning_rate": 7.3909830007391e-05, + "loss": 0.8815, + "step": 353 + }, + { + "epoch": 0.78, + "learning_rate": 7.38359201773836e-05, + "loss": 0.8858, + "step": 354 + }, + { + "epoch": 0.79, + "learning_rate": 7.376201034737621e-05, + "loss": 0.8848, + "step": 355 + }, + { + "epoch": 0.79, + "learning_rate": 7.368810051736882e-05, + "loss": 0.8863, + "step": 356 + }, + { + "epoch": 0.79, + "learning_rate": 7.361419068736141e-05, + "loss": 0.8966, + "step": 357 + }, + { + "epoch": 0.79, + "learning_rate": 7.354028085735403e-05, + "loss": 0.8848, + "step": 358 + }, + { + "epoch": 0.8, + "learning_rate": 7.346637102734664e-05, + "loss": 0.8607, + "step": 359 + }, + { + "epoch": 0.8, + "learning_rate": 7.339246119733925e-05, + "loss": 0.8998, + "step": 360 + }, + { + "epoch": 0.8, + "learning_rate": 7.331855136733186e-05, + "loss": 0.8809, + "step": 361 + }, + { + "epoch": 0.8, + "learning_rate": 7.324464153732446e-05, + "loss": 0.8668, + "step": 362 + }, + { + "epoch": 0.8, + "learning_rate": 7.317073170731707e-05, + "loss": 0.8717, + "step": 363 + }, + { + "epoch": 0.81, + "learning_rate": 7.309682187730969e-05, + "loss": 0.8684, + "step": 364 + }, + { + "epoch": 0.81, + "learning_rate": 7.30229120473023e-05, + "loss": 0.896, + "step": 365 + }, + { + "epoch": 0.81, + "learning_rate": 7.29490022172949e-05, + "loss": 0.8838, + "step": 366 + }, + { + "epoch": 0.81, + "learning_rate": 7.287509238728751e-05, + "loss": 0.8756, + "step": 367 + }, + { + "epoch": 0.82, + "learning_rate": 7.280118255728012e-05, + "loss": 0.8886, + "step": 368 + }, + { + "epoch": 0.82, + "learning_rate": 7.272727272727273e-05, + "loss": 0.9048, + "step": 369 + }, + { + "epoch": 0.82, + "learning_rate": 7.265336289726534e-05, + "loss": 0.899, + "step": 370 + }, + { + "epoch": 0.82, + "learning_rate": 7.257945306725796e-05, + "loss": 0.8528, + "step": 371 + }, + { + "epoch": 0.82, + "learning_rate": 7.250554323725056e-05, + "loss": 0.8946, + "step": 372 + }, + { + "epoch": 0.83, + "learning_rate": 7.243163340724317e-05, + "loss": 0.8688, + "step": 373 + }, + { + "epoch": 0.83, + "learning_rate": 7.235772357723578e-05, + "loss": 0.8938, + "step": 374 + }, + { + "epoch": 0.83, + "learning_rate": 7.228381374722837e-05, + "loss": 0.881, + "step": 375 + }, + { + "epoch": 0.83, + "learning_rate": 7.2209903917221e-05, + "loss": 0.888, + "step": 376 + }, + { + "epoch": 0.83, + "learning_rate": 7.21359940872136e-05, + "loss": 0.8929, + "step": 377 + }, + { + "epoch": 0.84, + "learning_rate": 7.206208425720621e-05, + "loss": 0.8655, + "step": 378 + }, + { + "epoch": 0.84, + "learning_rate": 7.198817442719882e-05, + "loss": 0.8491, + "step": 379 + }, + { + "epoch": 0.84, + "learning_rate": 7.191426459719142e-05, + "loss": 0.8847, + "step": 380 + }, + { + "epoch": 0.84, + "learning_rate": 7.184035476718403e-05, + "loss": 0.8766, + "step": 381 + }, + { + "epoch": 0.85, + "learning_rate": 7.176644493717665e-05, + "loss": 0.8869, + "step": 382 + }, + { + "epoch": 0.85, + "learning_rate": 7.169253510716926e-05, + "loss": 0.8822, + "step": 383 + }, + { + "epoch": 0.85, + "learning_rate": 7.161862527716187e-05, + "loss": 0.8764, + "step": 384 + }, + { + "epoch": 0.85, + "learning_rate": 7.154471544715447e-05, + "loss": 0.8828, + "step": 385 + }, + { + "epoch": 0.85, + "learning_rate": 7.147080561714708e-05, + "loss": 0.8862, + "step": 386 + }, + { + "epoch": 0.86, + "learning_rate": 7.139689578713969e-05, + "loss": 0.8785, + "step": 387 + }, + { + "epoch": 0.86, + "learning_rate": 7.132298595713231e-05, + "loss": 0.8772, + "step": 388 + }, + { + "epoch": 0.86, + "learning_rate": 7.124907612712492e-05, + "loss": 0.8598, + "step": 389 + }, + { + "epoch": 0.86, + "learning_rate": 7.117516629711752e-05, + "loss": 0.8865, + "step": 390 + }, + { + "epoch": 0.87, + "learning_rate": 7.110125646711013e-05, + "loss": 0.8658, + "step": 391 + }, + { + "epoch": 0.87, + "learning_rate": 7.102734663710274e-05, + "loss": 0.8777, + "step": 392 + }, + { + "epoch": 0.87, + "learning_rate": 7.095343680709535e-05, + "loss": 0.8555, + "step": 393 + }, + { + "epoch": 0.87, + "learning_rate": 7.087952697708795e-05, + "loss": 0.8594, + "step": 394 + }, + { + "epoch": 0.87, + "learning_rate": 7.080561714708056e-05, + "loss": 0.8785, + "step": 395 + }, + { + "epoch": 0.88, + "learning_rate": 7.073170731707317e-05, + "loss": 0.8549, + "step": 396 + }, + { + "epoch": 0.88, + "learning_rate": 7.065779748706578e-05, + "loss": 0.8745, + "step": 397 + }, + { + "epoch": 0.88, + "learning_rate": 7.058388765705838e-05, + "loss": 0.8816, + "step": 398 + }, + { + "epoch": 0.88, + "learning_rate": 7.0509977827051e-05, + "loss": 0.8734, + "step": 399 + }, + { + "epoch": 0.89, + "learning_rate": 7.043606799704361e-05, + "loss": 0.859, + "step": 400 + }, + { + "epoch": 0.89, + "learning_rate": 7.036215816703622e-05, + "loss": 0.8587, + "step": 401 + }, + { + "epoch": 0.89, + "learning_rate": 7.028824833702883e-05, + "loss": 0.8539, + "step": 402 + }, + { + "epoch": 0.89, + "learning_rate": 7.021433850702143e-05, + "loss": 0.8734, + "step": 403 + }, + { + "epoch": 0.89, + "learning_rate": 7.014042867701404e-05, + "loss": 0.8576, + "step": 404 + }, + { + "epoch": 0.9, + "learning_rate": 7.006651884700666e-05, + "loss": 0.8494, + "step": 405 + }, + { + "epoch": 0.9, + "learning_rate": 6.999260901699927e-05, + "loss": 0.887, + "step": 406 + }, + { + "epoch": 0.9, + "learning_rate": 6.991869918699188e-05, + "loss": 0.8724, + "step": 407 + }, + { + "epoch": 0.9, + "learning_rate": 6.984478935698448e-05, + "loss": 0.8618, + "step": 408 + }, + { + "epoch": 0.91, + "learning_rate": 6.977087952697709e-05, + "loss": 0.8801, + "step": 409 + }, + { + "epoch": 0.91, + "learning_rate": 6.96969696969697e-05, + "loss": 0.858, + "step": 410 + }, + { + "epoch": 0.91, + "learning_rate": 6.962305986696232e-05, + "loss": 0.8715, + "step": 411 + }, + { + "epoch": 0.91, + "learning_rate": 6.954915003695491e-05, + "loss": 0.8698, + "step": 412 + }, + { + "epoch": 0.91, + "learning_rate": 6.947524020694752e-05, + "loss": 0.8644, + "step": 413 + }, + { + "epoch": 0.92, + "learning_rate": 6.940133037694013e-05, + "loss": 0.8688, + "step": 414 + }, + { + "epoch": 0.92, + "learning_rate": 6.932742054693274e-05, + "loss": 0.8771, + "step": 415 + }, + { + "epoch": 0.92, + "learning_rate": 6.925351071692536e-05, + "loss": 0.8753, + "step": 416 + }, + { + "epoch": 0.92, + "learning_rate": 6.917960088691796e-05, + "loss": 0.8978, + "step": 417 + }, + { + "epoch": 0.93, + "learning_rate": 6.910569105691057e-05, + "loss": 0.8655, + "step": 418 + }, + { + "epoch": 0.93, + "learning_rate": 6.903178122690318e-05, + "loss": 0.8651, + "step": 419 + }, + { + "epoch": 0.93, + "learning_rate": 6.895787139689579e-05, + "loss": 0.8668, + "step": 420 + }, + { + "epoch": 0.93, + "learning_rate": 6.88839615668884e-05, + "loss": 0.8648, + "step": 421 + }, + { + "epoch": 0.93, + "learning_rate": 6.881005173688101e-05, + "loss": 0.843, + "step": 422 + }, + { + "epoch": 0.94, + "learning_rate": 6.873614190687362e-05, + "loss": 0.8458, + "step": 423 + }, + { + "epoch": 0.94, + "learning_rate": 6.866223207686623e-05, + "loss": 0.8617, + "step": 424 + }, + { + "epoch": 0.94, + "learning_rate": 6.858832224685884e-05, + "loss": 0.8539, + "step": 425 + }, + { + "epoch": 0.94, + "learning_rate": 6.851441241685144e-05, + "loss": 0.8422, + "step": 426 + }, + { + "epoch": 0.95, + "learning_rate": 6.844050258684405e-05, + "loss": 0.8718, + "step": 427 + }, + { + "epoch": 0.95, + "learning_rate": 6.836659275683667e-05, + "loss": 0.8288, + "step": 428 + }, + { + "epoch": 0.95, + "learning_rate": 6.829268292682928e-05, + "loss": 0.8255, + "step": 429 + }, + { + "epoch": 0.95, + "learning_rate": 6.821877309682187e-05, + "loss": 0.8324, + "step": 430 + }, + { + "epoch": 0.95, + "learning_rate": 6.814486326681448e-05, + "loss": 0.844, + "step": 431 + }, + { + "epoch": 0.96, + "learning_rate": 6.807095343680709e-05, + "loss": 0.8382, + "step": 432 + }, + { + "epoch": 0.96, + "learning_rate": 6.799704360679971e-05, + "loss": 0.8692, + "step": 433 + }, + { + "epoch": 0.96, + "learning_rate": 6.792313377679232e-05, + "loss": 0.8357, + "step": 434 + }, + { + "epoch": 0.96, + "learning_rate": 6.784922394678492e-05, + "loss": 0.8666, + "step": 435 + }, + { + "epoch": 0.97, + "learning_rate": 6.777531411677753e-05, + "loss": 0.8681, + "step": 436 + }, + { + "epoch": 0.97, + "learning_rate": 6.770140428677014e-05, + "loss": 0.8415, + "step": 437 + }, + { + "epoch": 0.97, + "learning_rate": 6.762749445676275e-05, + "loss": 0.8398, + "step": 438 + }, + { + "epoch": 0.97, + "learning_rate": 6.755358462675537e-05, + "loss": 0.8264, + "step": 439 + }, + { + "epoch": 0.97, + "learning_rate": 6.747967479674798e-05, + "loss": 0.8649, + "step": 440 + }, + { + "epoch": 0.98, + "learning_rate": 6.740576496674058e-05, + "loss": 0.8357, + "step": 441 + }, + { + "epoch": 0.98, + "learning_rate": 6.733185513673319e-05, + "loss": 0.8502, + "step": 442 + }, + { + "epoch": 0.98, + "learning_rate": 6.72579453067258e-05, + "loss": 0.8603, + "step": 443 + }, + { + "epoch": 0.98, + "learning_rate": 6.71840354767184e-05, + "loss": 0.8323, + "step": 444 + }, + { + "epoch": 0.99, + "learning_rate": 6.711012564671103e-05, + "loss": 0.8238, + "step": 445 + }, + { + "epoch": 0.99, + "learning_rate": 6.703621581670363e-05, + "loss": 0.8522, + "step": 446 + }, + { + "epoch": 0.99, + "learning_rate": 6.696230598669624e-05, + "loss": 0.8351, + "step": 447 + }, + { + "epoch": 0.99, + "learning_rate": 6.688839615668883e-05, + "loss": 0.832, + "step": 448 + }, + { + "epoch": 0.99, + "learning_rate": 6.681448632668144e-05, + "loss": 0.8478, + "step": 449 + }, + { + "epoch": 1.0, + "learning_rate": 6.674057649667406e-05, + "loss": 0.8497, + "step": 450 + }, + { + "epoch": 1.0, + "learning_rate": 6.666666666666667e-05, + "loss": 0.8427, + "step": 451 + }, + { + "epoch": 1.0, + "eval_loss": 1.0878102779388428, + "eval_runtime": 495.5202, + "eval_samples_per_second": 32.168, + "eval_steps_per_second": 0.505, + "eval_wer": 0.8091472356907791, + "step": 451 + }, + { + "epoch": 1.0, + "learning_rate": 6.659275683665928e-05, + "loss": 1.2494, + "step": 452 + }, + { + "epoch": 1.0, + "learning_rate": 6.651884700665188e-05, + "loss": 0.8478, + "step": 453 + }, + { + "epoch": 1.01, + "learning_rate": 6.644493717664449e-05, + "loss": 0.8247, + "step": 454 + }, + { + "epoch": 1.01, + "learning_rate": 6.63710273466371e-05, + "loss": 0.8202, + "step": 455 + }, + { + "epoch": 1.01, + "learning_rate": 6.629711751662972e-05, + "loss": 0.8152, + "step": 456 + }, + { + "epoch": 1.01, + "learning_rate": 6.622320768662233e-05, + "loss": 0.8248, + "step": 457 + }, + { + "epoch": 1.02, + "learning_rate": 6.614929785661494e-05, + "loss": 0.8315, + "step": 458 + }, + { + "epoch": 1.02, + "learning_rate": 6.607538802660754e-05, + "loss": 0.8001, + "step": 459 + }, + { + "epoch": 1.02, + "learning_rate": 6.600147819660015e-05, + "loss": 0.841, + "step": 460 + }, + { + "epoch": 1.02, + "learning_rate": 6.592756836659276e-05, + "loss": 0.8395, + "step": 461 + }, + { + "epoch": 1.02, + "learning_rate": 6.585365853658538e-05, + "loss": 0.8209, + "step": 462 + }, + { + "epoch": 1.03, + "learning_rate": 6.577974870657799e-05, + "loss": 0.8413, + "step": 463 + }, + { + "epoch": 1.03, + "learning_rate": 6.570583887657059e-05, + "loss": 0.8145, + "step": 464 + }, + { + "epoch": 1.03, + "learning_rate": 6.56319290465632e-05, + "loss": 0.8217, + "step": 465 + }, + { + "epoch": 1.03, + "learning_rate": 6.555801921655581e-05, + "loss": 0.8535, + "step": 466 + }, + { + "epoch": 1.04, + "learning_rate": 6.548410938654842e-05, + "loss": 0.8173, + "step": 467 + }, + { + "epoch": 1.04, + "learning_rate": 6.541019955654102e-05, + "loss": 0.8303, + "step": 468 + }, + { + "epoch": 1.04, + "learning_rate": 6.533628972653363e-05, + "loss": 0.8416, + "step": 469 + }, + { + "epoch": 1.04, + "learning_rate": 6.526237989652624e-05, + "loss": 0.8218, + "step": 470 + }, + { + "epoch": 1.04, + "learning_rate": 6.518847006651884e-05, + "loss": 0.8257, + "step": 471 + }, + { + "epoch": 1.05, + "learning_rate": 6.511456023651145e-05, + "loss": 0.8319, + "step": 472 + }, + { + "epoch": 1.05, + "learning_rate": 6.504065040650407e-05, + "loss": 0.8535, + "step": 473 + }, + { + "epoch": 1.05, + "learning_rate": 6.496674057649668e-05, + "loss": 0.8369, + "step": 474 + }, + { + "epoch": 1.05, + "learning_rate": 6.489283074648929e-05, + "loss": 0.8115, + "step": 475 + }, + { + "epoch": 1.06, + "learning_rate": 6.48189209164819e-05, + "loss": 0.8091, + "step": 476 + }, + { + "epoch": 1.06, + "learning_rate": 6.47450110864745e-05, + "loss": 0.8345, + "step": 477 + }, + { + "epoch": 1.06, + "learning_rate": 6.467110125646711e-05, + "loss": 0.8542, + "step": 478 + }, + { + "epoch": 1.06, + "learning_rate": 6.459719142645973e-05, + "loss": 0.8158, + "step": 479 + }, + { + "epoch": 1.06, + "learning_rate": 6.452328159645234e-05, + "loss": 0.829, + "step": 480 + }, + { + "epoch": 1.07, + "learning_rate": 6.444937176644495e-05, + "loss": 0.8146, + "step": 481 + }, + { + "epoch": 1.07, + "learning_rate": 6.437546193643755e-05, + "loss": 0.8232, + "step": 482 + }, + { + "epoch": 1.07, + "learning_rate": 6.430155210643016e-05, + "loss": 0.8075, + "step": 483 + }, + { + "epoch": 1.07, + "learning_rate": 6.422764227642277e-05, + "loss": 0.8333, + "step": 484 + }, + { + "epoch": 1.08, + "learning_rate": 6.415373244641538e-05, + "loss": 0.8112, + "step": 485 + }, + { + "epoch": 1.08, + "learning_rate": 6.407982261640798e-05, + "loss": 0.809, + "step": 486 + }, + { + "epoch": 1.08, + "learning_rate": 6.400591278640059e-05, + "loss": 0.7983, + "step": 487 + }, + { + "epoch": 1.08, + "learning_rate": 6.39320029563932e-05, + "loss": 0.7997, + "step": 488 + }, + { + "epoch": 1.08, + "learning_rate": 6.38580931263858e-05, + "loss": 0.8087, + "step": 489 + }, + { + "epoch": 1.09, + "learning_rate": 6.378418329637843e-05, + "loss": 0.8165, + "step": 490 + }, + { + "epoch": 1.09, + "learning_rate": 6.371027346637103e-05, + "loss": 0.795, + "step": 491 + }, + { + "epoch": 1.09, + "learning_rate": 6.363636363636364e-05, + "loss": 0.8302, + "step": 492 + }, + { + "epoch": 1.09, + "learning_rate": 6.356245380635625e-05, + "loss": 0.7928, + "step": 493 + }, + { + "epoch": 1.1, + "learning_rate": 6.348854397634886e-05, + "loss": 0.822, + "step": 494 + }, + { + "epoch": 1.1, + "learning_rate": 6.341463414634146e-05, + "loss": 0.8243, + "step": 495 + }, + { + "epoch": 1.1, + "learning_rate": 6.334072431633407e-05, + "loss": 0.8252, + "step": 496 + }, + { + "epoch": 1.1, + "learning_rate": 6.326681448632669e-05, + "loss": 0.8079, + "step": 497 + }, + { + "epoch": 1.1, + "learning_rate": 6.31929046563193e-05, + "loss": 0.8181, + "step": 498 + }, + { + "epoch": 1.11, + "learning_rate": 6.31189948263119e-05, + "loss": 0.8216, + "step": 499 + }, + { + "epoch": 1.11, + "learning_rate": 6.304508499630451e-05, + "loss": 0.8127, + "step": 500 + }, + { + "epoch": 1.11, + "learning_rate": 6.297117516629712e-05, + "loss": 0.7971, + "step": 501 + }, + { + "epoch": 1.11, + "learning_rate": 6.289726533628973e-05, + "loss": 0.8005, + "step": 502 + }, + { + "epoch": 1.12, + "learning_rate": 6.282335550628234e-05, + "loss": 0.8065, + "step": 503 + }, + { + "epoch": 1.12, + "learning_rate": 6.274944567627494e-05, + "loss": 0.7944, + "step": 504 + }, + { + "epoch": 1.12, + "learning_rate": 6.267553584626755e-05, + "loss": 0.8219, + "step": 505 + }, + { + "epoch": 1.12, + "learning_rate": 6.260162601626016e-05, + "loss": 0.8399, + "step": 506 + }, + { + "epoch": 1.12, + "learning_rate": 6.252771618625277e-05, + "loss": 0.7951, + "step": 507 + }, + { + "epoch": 1.13, + "learning_rate": 6.245380635624539e-05, + "loss": 0.8164, + "step": 508 + }, + { + "epoch": 1.13, + "learning_rate": 6.2379896526238e-05, + "loss": 0.8104, + "step": 509 + }, + { + "epoch": 1.13, + "learning_rate": 6.23059866962306e-05, + "loss": 0.8094, + "step": 510 + }, + { + "epoch": 1.13, + "learning_rate": 6.223207686622321e-05, + "loss": 0.8018, + "step": 511 + }, + { + "epoch": 1.14, + "learning_rate": 6.215816703621582e-05, + "loss": 0.7701, + "step": 512 + }, + { + "epoch": 1.14, + "learning_rate": 6.208425720620842e-05, + "loss": 0.83, + "step": 513 + }, + { + "epoch": 1.14, + "learning_rate": 6.201034737620104e-05, + "loss": 0.7991, + "step": 514 + }, + { + "epoch": 1.14, + "learning_rate": 6.193643754619365e-05, + "loss": 0.8105, + "step": 515 + }, + { + "epoch": 1.14, + "learning_rate": 6.186252771618626e-05, + "loss": 0.8116, + "step": 516 + }, + { + "epoch": 1.15, + "learning_rate": 6.178861788617887e-05, + "loss": 0.8091, + "step": 517 + }, + { + "epoch": 1.15, + "learning_rate": 6.171470805617147e-05, + "loss": 0.8257, + "step": 518 + }, + { + "epoch": 1.15, + "learning_rate": 6.164079822616408e-05, + "loss": 0.804, + "step": 519 + }, + { + "epoch": 1.15, + "learning_rate": 6.15668883961567e-05, + "loss": 0.8073, + "step": 520 + }, + { + "epoch": 1.16, + "learning_rate": 6.149297856614931e-05, + "loss": 0.8012, + "step": 521 + }, + { + "epoch": 1.16, + "learning_rate": 6.14190687361419e-05, + "loss": 0.7969, + "step": 522 + }, + { + "epoch": 1.16, + "learning_rate": 6.134515890613451e-05, + "loss": 0.8234, + "step": 523 + }, + { + "epoch": 1.16, + "learning_rate": 6.127124907612712e-05, + "loss": 0.8076, + "step": 524 + }, + { + "epoch": 1.16, + "learning_rate": 6.119733924611974e-05, + "loss": 0.7882, + "step": 525 + }, + { + "epoch": 1.17, + "learning_rate": 6.112342941611235e-05, + "loss": 0.7898, + "step": 526 + }, + { + "epoch": 1.17, + "learning_rate": 6.104951958610495e-05, + "loss": 0.8098, + "step": 527 + }, + { + "epoch": 1.17, + "learning_rate": 6.097560975609756e-05, + "loss": 0.8245, + "step": 528 + }, + { + "epoch": 1.17, + "learning_rate": 6.0901699926090175e-05, + "loss": 0.8084, + "step": 529 + }, + { + "epoch": 1.17, + "learning_rate": 6.082779009608278e-05, + "loss": 0.7964, + "step": 530 + }, + { + "epoch": 1.18, + "learning_rate": 6.075388026607539e-05, + "loss": 0.7949, + "step": 531 + }, + { + "epoch": 1.18, + "learning_rate": 6.0679970436068004e-05, + "loss": 0.8092, + "step": 532 + }, + { + "epoch": 1.18, + "learning_rate": 6.060606060606061e-05, + "loss": 0.8034, + "step": 533 + }, + { + "epoch": 1.18, + "learning_rate": 6.053215077605322e-05, + "loss": 0.8043, + "step": 534 + }, + { + "epoch": 1.19, + "learning_rate": 6.045824094604583e-05, + "loss": 0.8164, + "step": 535 + }, + { + "epoch": 1.19, + "learning_rate": 6.038433111603844e-05, + "loss": 0.8083, + "step": 536 + }, + { + "epoch": 1.19, + "learning_rate": 6.031042128603105e-05, + "loss": 0.7934, + "step": 537 + }, + { + "epoch": 1.19, + "learning_rate": 6.023651145602366e-05, + "loss": 0.7929, + "step": 538 + }, + { + "epoch": 1.19, + "learning_rate": 6.016260162601627e-05, + "loss": 0.8063, + "step": 539 + }, + { + "epoch": 1.2, + "learning_rate": 6.008869179600887e-05, + "loss": 0.7816, + "step": 540 + }, + { + "epoch": 1.2, + "learning_rate": 6.001478196600148e-05, + "loss": 0.7975, + "step": 541 + }, + { + "epoch": 1.2, + "learning_rate": 5.9940872135994085e-05, + "loss": 0.788, + "step": 542 + }, + { + "epoch": 1.2, + "learning_rate": 5.98669623059867e-05, + "loss": 0.776, + "step": 543 + }, + { + "epoch": 1.21, + "learning_rate": 5.9793052475979306e-05, + "loss": 0.7878, + "step": 544 + }, + { + "epoch": 1.21, + "learning_rate": 5.9719142645971914e-05, + "loss": 0.8016, + "step": 545 + }, + { + "epoch": 1.21, + "learning_rate": 5.964523281596453e-05, + "loss": 0.8124, + "step": 546 + }, + { + "epoch": 1.21, + "learning_rate": 5.9571322985957135e-05, + "loss": 0.7717, + "step": 547 + }, + { + "epoch": 1.21, + "learning_rate": 5.949741315594974e-05, + "loss": 0.8093, + "step": 548 + }, + { + "epoch": 1.22, + "learning_rate": 5.942350332594236e-05, + "loss": 0.8056, + "step": 549 + }, + { + "epoch": 1.22, + "learning_rate": 5.9349593495934964e-05, + "loss": 0.8196, + "step": 550 + }, + { + "epoch": 1.22, + "learning_rate": 5.927568366592757e-05, + "loss": 0.8077, + "step": 551 + }, + { + "epoch": 1.22, + "learning_rate": 5.920177383592018e-05, + "loss": 0.7827, + "step": 552 + }, + { + "epoch": 1.23, + "learning_rate": 5.912786400591279e-05, + "loss": 0.8, + "step": 553 + }, + { + "epoch": 1.23, + "learning_rate": 5.90539541759054e-05, + "loss": 0.7841, + "step": 554 + }, + { + "epoch": 1.23, + "learning_rate": 5.898004434589801e-05, + "loss": 0.7795, + "step": 555 + }, + { + "epoch": 1.23, + "learning_rate": 5.890613451589062e-05, + "loss": 0.7767, + "step": 556 + }, + { + "epoch": 1.23, + "learning_rate": 5.883222468588323e-05, + "loss": 0.8054, + "step": 557 + }, + { + "epoch": 1.24, + "learning_rate": 5.875831485587583e-05, + "loss": 0.7823, + "step": 558 + }, + { + "epoch": 1.24, + "learning_rate": 5.868440502586844e-05, + "loss": 0.8048, + "step": 559 + }, + { + "epoch": 1.24, + "learning_rate": 5.8610495195861045e-05, + "loss": 0.7906, + "step": 560 + }, + { + "epoch": 1.24, + "learning_rate": 5.853658536585366e-05, + "loss": 0.7659, + "step": 561 + }, + { + "epoch": 1.25, + "learning_rate": 5.8462675535846266e-05, + "loss": 0.7845, + "step": 562 + }, + { + "epoch": 1.25, + "learning_rate": 5.8388765705838874e-05, + "loss": 0.7897, + "step": 563 + }, + { + "epoch": 1.25, + "learning_rate": 5.831485587583149e-05, + "loss": 0.7927, + "step": 564 + }, + { + "epoch": 1.25, + "learning_rate": 5.8240946045824095e-05, + "loss": 0.7902, + "step": 565 + }, + { + "epoch": 1.25, + "learning_rate": 5.81670362158167e-05, + "loss": 0.7968, + "step": 566 + }, + { + "epoch": 1.26, + "learning_rate": 5.809312638580932e-05, + "loss": 0.7839, + "step": 567 + }, + { + "epoch": 1.26, + "learning_rate": 5.8019216555801924e-05, + "loss": 0.8069, + "step": 568 + }, + { + "epoch": 1.26, + "learning_rate": 5.794530672579453e-05, + "loss": 0.8002, + "step": 569 + }, + { + "epoch": 1.26, + "learning_rate": 5.7871396895787146e-05, + "loss": 0.7777, + "step": 570 + }, + { + "epoch": 1.27, + "learning_rate": 5.779748706577975e-05, + "loss": 0.7824, + "step": 571 + }, + { + "epoch": 1.27, + "learning_rate": 5.772357723577236e-05, + "loss": 0.7936, + "step": 572 + }, + { + "epoch": 1.27, + "learning_rate": 5.7649667405764975e-05, + "loss": 0.7865, + "step": 573 + }, + { + "epoch": 1.27, + "learning_rate": 5.757575757575758e-05, + "loss": 0.7916, + "step": 574 + }, + { + "epoch": 1.27, + "learning_rate": 5.750184774575019e-05, + "loss": 0.7948, + "step": 575 + }, + { + "epoch": 1.28, + "learning_rate": 5.742793791574279e-05, + "loss": 0.7801, + "step": 576 + }, + { + "epoch": 1.28, + "learning_rate": 5.73540280857354e-05, + "loss": 0.816, + "step": 577 + }, + { + "epoch": 1.28, + "learning_rate": 5.728011825572801e-05, + "loss": 0.7687, + "step": 578 + }, + { + "epoch": 1.28, + "learning_rate": 5.720620842572062e-05, + "loss": 0.7912, + "step": 579 + }, + { + "epoch": 1.29, + "learning_rate": 5.7132298595713227e-05, + "loss": 0.7725, + "step": 580 + }, + { + "epoch": 1.29, + "learning_rate": 5.705838876570584e-05, + "loss": 0.7681, + "step": 581 + }, + { + "epoch": 1.29, + "learning_rate": 5.698447893569845e-05, + "loss": 0.7738, + "step": 582 + }, + { + "epoch": 1.29, + "learning_rate": 5.6910569105691056e-05, + "loss": 0.7931, + "step": 583 + }, + { + "epoch": 1.29, + "learning_rate": 5.683665927568367e-05, + "loss": 0.7802, + "step": 584 + }, + { + "epoch": 1.3, + "learning_rate": 5.676274944567628e-05, + "loss": 0.7733, + "step": 585 + }, + { + "epoch": 1.3, + "learning_rate": 5.6688839615668884e-05, + "loss": 0.8044, + "step": 586 + }, + { + "epoch": 1.3, + "learning_rate": 5.66149297856615e-05, + "loss": 0.7887, + "step": 587 + }, + { + "epoch": 1.3, + "learning_rate": 5.6541019955654106e-05, + "loss": 0.7773, + "step": 588 + }, + { + "epoch": 1.31, + "learning_rate": 5.6467110125646713e-05, + "loss": 0.7839, + "step": 589 + }, + { + "epoch": 1.31, + "learning_rate": 5.639320029563933e-05, + "loss": 0.7642, + "step": 590 + }, + { + "epoch": 1.31, + "learning_rate": 5.6319290465631935e-05, + "loss": 0.7783, + "step": 591 + }, + { + "epoch": 1.31, + "learning_rate": 5.624538063562454e-05, + "loss": 0.7861, + "step": 592 + }, + { + "epoch": 1.31, + "learning_rate": 5.6171470805617157e-05, + "loss": 0.7671, + "step": 593 + }, + { + "epoch": 1.32, + "learning_rate": 5.6097560975609764e-05, + "loss": 0.7749, + "step": 594 + }, + { + "epoch": 1.32, + "learning_rate": 5.6023651145602365e-05, + "loss": 0.7714, + "step": 595 + }, + { + "epoch": 1.32, + "learning_rate": 5.594974131559497e-05, + "loss": 0.7685, + "step": 596 + }, + { + "epoch": 1.32, + "learning_rate": 5.587583148558758e-05, + "loss": 0.7936, + "step": 597 + }, + { + "epoch": 1.33, + "learning_rate": 5.5801921655580193e-05, + "loss": 0.7746, + "step": 598 + }, + { + "epoch": 1.33, + "learning_rate": 5.57280118255728e-05, + "loss": 0.7715, + "step": 599 + }, + { + "epoch": 1.33, + "learning_rate": 5.565410199556541e-05, + "loss": 0.7538, + "step": 600 + }, + { + "epoch": 1.33, + "learning_rate": 5.558019216555802e-05, + "loss": 0.7734, + "step": 601 + }, + { + "epoch": 1.33, + "learning_rate": 5.550628233555063e-05, + "loss": 0.7725, + "step": 602 + }, + { + "epoch": 1.34, + "learning_rate": 5.543237250554324e-05, + "loss": 0.7751, + "step": 603 + }, + { + "epoch": 1.34, + "learning_rate": 5.535846267553585e-05, + "loss": 0.7659, + "step": 604 + }, + { + "epoch": 1.34, + "learning_rate": 5.528455284552846e-05, + "loss": 0.7691, + "step": 605 + }, + { + "epoch": 1.34, + "learning_rate": 5.5210643015521066e-05, + "loss": 0.7951, + "step": 606 + }, + { + "epoch": 1.35, + "learning_rate": 5.513673318551368e-05, + "loss": 0.765, + "step": 607 + }, + { + "epoch": 1.35, + "learning_rate": 5.506282335550629e-05, + "loss": 0.8091, + "step": 608 + }, + { + "epoch": 1.35, + "learning_rate": 5.4988913525498895e-05, + "loss": 0.7571, + "step": 609 + }, + { + "epoch": 1.35, + "learning_rate": 5.491500369549151e-05, + "loss": 0.7798, + "step": 610 + }, + { + "epoch": 1.35, + "learning_rate": 5.484109386548412e-05, + "loss": 0.7893, + "step": 611 + }, + { + "epoch": 1.36, + "learning_rate": 5.4767184035476724e-05, + "loss": 0.7676, + "step": 612 + }, + { + "epoch": 1.36, + "learning_rate": 5.4693274205469325e-05, + "loss": 0.7782, + "step": 613 + }, + { + "epoch": 1.36, + "learning_rate": 5.461936437546193e-05, + "loss": 0.8033, + "step": 614 + }, + { + "epoch": 1.36, + "learning_rate": 5.4545454545454546e-05, + "loss": 0.7911, + "step": 615 + }, + { + "epoch": 1.37, + "learning_rate": 5.4471544715447154e-05, + "loss": 0.7983, + "step": 616 + }, + { + "epoch": 1.37, + "learning_rate": 5.439763488543976e-05, + "loss": 0.7728, + "step": 617 + }, + { + "epoch": 1.37, + "learning_rate": 5.4323725055432375e-05, + "loss": 0.7699, + "step": 618 + }, + { + "epoch": 1.37, + "learning_rate": 5.424981522542498e-05, + "loss": 0.781, + "step": 619 + }, + { + "epoch": 1.37, + "learning_rate": 5.417590539541759e-05, + "loss": 0.7795, + "step": 620 + }, + { + "epoch": 1.38, + "learning_rate": 5.4101995565410204e-05, + "loss": 0.7683, + "step": 621 + }, + { + "epoch": 1.38, + "learning_rate": 5.402808573540281e-05, + "loss": 0.7791, + "step": 622 + }, + { + "epoch": 1.38, + "learning_rate": 5.395417590539542e-05, + "loss": 0.7517, + "step": 623 + }, + { + "epoch": 1.38, + "learning_rate": 5.388026607538803e-05, + "loss": 0.7678, + "step": 624 + }, + { + "epoch": 1.39, + "learning_rate": 5.380635624538064e-05, + "loss": 0.7713, + "step": 625 + }, + { + "epoch": 1.39, + "learning_rate": 5.373244641537325e-05, + "loss": 0.7628, + "step": 626 + }, + { + "epoch": 1.39, + "learning_rate": 5.365853658536586e-05, + "loss": 0.7781, + "step": 627 + }, + { + "epoch": 1.39, + "learning_rate": 5.358462675535847e-05, + "loss": 0.7694, + "step": 628 + }, + { + "epoch": 1.39, + "learning_rate": 5.351071692535108e-05, + "loss": 0.7674, + "step": 629 + }, + { + "epoch": 1.4, + "learning_rate": 5.343680709534369e-05, + "loss": 0.7817, + "step": 630 + }, + { + "epoch": 1.4, + "learning_rate": 5.3362897265336285e-05, + "loss": 0.7805, + "step": 631 + }, + { + "epoch": 1.4, + "learning_rate": 5.32889874353289e-05, + "loss": 0.8098, + "step": 632 + }, + { + "epoch": 1.4, + "learning_rate": 5.3215077605321506e-05, + "loss": 0.7793, + "step": 633 + }, + { + "epoch": 1.41, + "learning_rate": 5.3141167775314114e-05, + "loss": 0.7673, + "step": 634 + }, + { + "epoch": 1.41, + "learning_rate": 5.306725794530673e-05, + "loss": 0.7774, + "step": 635 + }, + { + "epoch": 1.41, + "learning_rate": 5.2993348115299335e-05, + "loss": 0.7772, + "step": 636 + }, + { + "epoch": 1.41, + "learning_rate": 5.291943828529194e-05, + "loss": 0.7819, + "step": 637 + }, + { + "epoch": 1.41, + "learning_rate": 5.284552845528456e-05, + "loss": 0.7578, + "step": 638 + }, + { + "epoch": 1.42, + "learning_rate": 5.2771618625277164e-05, + "loss": 0.7764, + "step": 639 + }, + { + "epoch": 1.42, + "learning_rate": 5.269770879526977e-05, + "loss": 0.7864, + "step": 640 + }, + { + "epoch": 1.42, + "learning_rate": 5.2623798965262386e-05, + "loss": 0.7743, + "step": 641 + }, + { + "epoch": 1.42, + "learning_rate": 5.254988913525499e-05, + "loss": 0.7832, + "step": 642 + }, + { + "epoch": 1.43, + "learning_rate": 5.24759793052476e-05, + "loss": 0.798, + "step": 643 + }, + { + "epoch": 1.43, + "learning_rate": 5.2402069475240215e-05, + "loss": 0.7582, + "step": 644 + }, + { + "epoch": 1.43, + "learning_rate": 5.232815964523282e-05, + "loss": 0.7563, + "step": 645 + }, + { + "epoch": 1.43, + "learning_rate": 5.225424981522543e-05, + "loss": 0.7762, + "step": 646 + }, + { + "epoch": 1.43, + "learning_rate": 5.2180339985218044e-05, + "loss": 0.7704, + "step": 647 + }, + { + "epoch": 1.44, + "learning_rate": 5.210643015521065e-05, + "loss": 0.7543, + "step": 648 + }, + { + "epoch": 1.44, + "learning_rate": 5.203252032520326e-05, + "loss": 0.7913, + "step": 649 + }, + { + "epoch": 1.44, + "learning_rate": 5.195861049519586e-05, + "loss": 0.7785, + "step": 650 + }, + { + "epoch": 1.44, + "learning_rate": 5.1884700665188466e-05, + "loss": 0.7571, + "step": 651 + }, + { + "epoch": 1.45, + "learning_rate": 5.181079083518108e-05, + "loss": 0.7639, + "step": 652 + }, + { + "epoch": 1.45, + "learning_rate": 5.173688100517369e-05, + "loss": 0.7585, + "step": 653 + }, + { + "epoch": 1.45, + "learning_rate": 5.1662971175166295e-05, + "loss": 0.7729, + "step": 654 + }, + { + "epoch": 1.45, + "learning_rate": 5.158906134515891e-05, + "loss": 0.7575, + "step": 655 + }, + { + "epoch": 1.45, + "learning_rate": 5.151515151515152e-05, + "loss": 0.7638, + "step": 656 + }, + { + "epoch": 1.46, + "learning_rate": 5.1441241685144124e-05, + "loss": 0.7424, + "step": 657 + }, + { + "epoch": 1.46, + "learning_rate": 5.136733185513674e-05, + "loss": 0.7697, + "step": 658 + }, + { + "epoch": 1.46, + "learning_rate": 5.1293422025129346e-05, + "loss": 0.7543, + "step": 659 + }, + { + "epoch": 1.46, + "learning_rate": 5.121951219512195e-05, + "loss": 0.7695, + "step": 660 + }, + { + "epoch": 1.47, + "learning_rate": 5.114560236511457e-05, + "loss": 0.7577, + "step": 661 + }, + { + "epoch": 1.47, + "learning_rate": 5.1071692535107175e-05, + "loss": 0.7481, + "step": 662 + }, + { + "epoch": 1.47, + "learning_rate": 5.099778270509978e-05, + "loss": 0.7727, + "step": 663 + }, + { + "epoch": 1.47, + "learning_rate": 5.0923872875092396e-05, + "loss": 0.7656, + "step": 664 + }, + { + "epoch": 1.47, + "learning_rate": 5.0849963045085004e-05, + "loss": 0.7512, + "step": 665 + }, + { + "epoch": 1.48, + "learning_rate": 5.077605321507761e-05, + "loss": 0.7747, + "step": 666 + }, + { + "epoch": 1.48, + "learning_rate": 5.0702143385070225e-05, + "loss": 0.7426, + "step": 667 + }, + { + "epoch": 1.48, + "learning_rate": 5.062823355506282e-05, + "loss": 0.7453, + "step": 668 + }, + { + "epoch": 1.48, + "learning_rate": 5.0554323725055433e-05, + "loss": 0.768, + "step": 669 + }, + { + "epoch": 1.49, + "learning_rate": 5.048041389504804e-05, + "loss": 0.7675, + "step": 670 + }, + { + "epoch": 1.49, + "learning_rate": 5.040650406504065e-05, + "loss": 0.744, + "step": 671 + }, + { + "epoch": 1.49, + "learning_rate": 5.033259423503326e-05, + "loss": 0.7919, + "step": 672 + }, + { + "epoch": 1.49, + "learning_rate": 5.025868440502587e-05, + "loss": 0.775, + "step": 673 + }, + { + "epoch": 1.49, + "learning_rate": 5.018477457501848e-05, + "loss": 0.7365, + "step": 674 + }, + { + "epoch": 1.5, + "learning_rate": 5.011086474501109e-05, + "loss": 0.7503, + "step": 675 + }, + { + "epoch": 1.5, + "learning_rate": 5.00369549150037e-05, + "loss": 0.7614, + "step": 676 + }, + { + "epoch": 1.5, + "learning_rate": 4.9963045084996306e-05, + "loss": 0.7528, + "step": 677 + }, + { + "epoch": 1.5, + "learning_rate": 4.9889135254988913e-05, + "loss": 0.7555, + "step": 678 + }, + { + "epoch": 1.5, + "learning_rate": 4.981522542498153e-05, + "loss": 0.7599, + "step": 679 + }, + { + "epoch": 1.51, + "learning_rate": 4.9741315594974135e-05, + "loss": 0.7662, + "step": 680 + }, + { + "epoch": 1.51, + "learning_rate": 4.966740576496674e-05, + "loss": 0.7538, + "step": 681 + }, + { + "epoch": 1.51, + "learning_rate": 4.959349593495935e-05, + "loss": 0.7613, + "step": 682 + }, + { + "epoch": 1.51, + "learning_rate": 4.951958610495196e-05, + "loss": 0.7519, + "step": 683 + }, + { + "epoch": 1.52, + "learning_rate": 4.944567627494457e-05, + "loss": 0.7604, + "step": 684 + }, + { + "epoch": 1.52, + "learning_rate": 4.937176644493718e-05, + "loss": 0.7641, + "step": 685 + }, + { + "epoch": 1.52, + "learning_rate": 4.9297856614929786e-05, + "loss": 0.7631, + "step": 686 + }, + { + "epoch": 1.52, + "learning_rate": 4.92239467849224e-05, + "loss": 0.7621, + "step": 687 + }, + { + "epoch": 1.52, + "learning_rate": 4.915003695491501e-05, + "loss": 0.7388, + "step": 688 + }, + { + "epoch": 1.53, + "learning_rate": 4.9076127124907615e-05, + "loss": 0.7679, + "step": 689 + }, + { + "epoch": 1.53, + "learning_rate": 4.900221729490023e-05, + "loss": 0.767, + "step": 690 + }, + { + "epoch": 1.53, + "learning_rate": 4.892830746489283e-05, + "loss": 0.7847, + "step": 691 + }, + { + "epoch": 1.53, + "learning_rate": 4.885439763488544e-05, + "loss": 0.764, + "step": 692 + }, + { + "epoch": 1.54, + "learning_rate": 4.878048780487805e-05, + "loss": 0.7496, + "step": 693 + }, + { + "epoch": 1.54, + "learning_rate": 4.870657797487066e-05, + "loss": 0.7661, + "step": 694 + }, + { + "epoch": 1.54, + "learning_rate": 4.8632668144863266e-05, + "loss": 0.7493, + "step": 695 + }, + { + "epoch": 1.54, + "learning_rate": 4.855875831485588e-05, + "loss": 0.7536, + "step": 696 + }, + { + "epoch": 1.54, + "learning_rate": 4.848484848484849e-05, + "loss": 0.766, + "step": 697 + }, + { + "epoch": 1.55, + "learning_rate": 4.8410938654841095e-05, + "loss": 0.7424, + "step": 698 + }, + { + "epoch": 1.55, + "learning_rate": 4.833702882483371e-05, + "loss": 0.7463, + "step": 699 + }, + { + "epoch": 1.55, + "learning_rate": 4.826311899482631e-05, + "loss": 0.7571, + "step": 700 + }, + { + "epoch": 1.55, + "learning_rate": 4.8189209164818924e-05, + "loss": 0.766, + "step": 701 + }, + { + "epoch": 1.56, + "learning_rate": 4.811529933481153e-05, + "loss": 0.7507, + "step": 702 + }, + { + "epoch": 1.56, + "learning_rate": 4.804138950480414e-05, + "loss": 0.7552, + "step": 703 + }, + { + "epoch": 1.56, + "learning_rate": 4.796747967479675e-05, + "loss": 0.7316, + "step": 704 + }, + { + "epoch": 1.56, + "learning_rate": 4.789356984478936e-05, + "loss": 0.7738, + "step": 705 + }, + { + "epoch": 1.56, + "learning_rate": 4.781966001478197e-05, + "loss": 0.7618, + "step": 706 + }, + { + "epoch": 1.57, + "learning_rate": 4.774575018477458e-05, + "loss": 0.767, + "step": 707 + }, + { + "epoch": 1.57, + "learning_rate": 4.767184035476719e-05, + "loss": 0.7355, + "step": 708 + }, + { + "epoch": 1.57, + "learning_rate": 4.759793052475979e-05, + "loss": 0.7526, + "step": 709 + }, + { + "epoch": 1.57, + "learning_rate": 4.7524020694752404e-05, + "loss": 0.764, + "step": 710 + }, + { + "epoch": 1.58, + "learning_rate": 4.745011086474501e-05, + "loss": 0.7423, + "step": 711 + }, + { + "epoch": 1.58, + "learning_rate": 4.737620103473762e-05, + "loss": 0.7532, + "step": 712 + }, + { + "epoch": 1.58, + "learning_rate": 4.730229120473023e-05, + "loss": 0.7528, + "step": 713 + }, + { + "epoch": 1.58, + "learning_rate": 4.722838137472284e-05, + "loss": 0.7486, + "step": 714 + }, + { + "epoch": 1.58, + "learning_rate": 4.715447154471545e-05, + "loss": 0.7676, + "step": 715 + }, + { + "epoch": 1.59, + "learning_rate": 4.708056171470806e-05, + "loss": 0.7437, + "step": 716 + }, + { + "epoch": 1.59, + "learning_rate": 4.700665188470067e-05, + "loss": 0.7566, + "step": 717 + }, + { + "epoch": 1.59, + "learning_rate": 4.693274205469328e-05, + "loss": 0.7216, + "step": 718 + }, + { + "epoch": 1.59, + "learning_rate": 4.6858832224685884e-05, + "loss": 0.7254, + "step": 719 + }, + { + "epoch": 1.6, + "learning_rate": 4.678492239467849e-05, + "loss": 0.738, + "step": 720 + }, + { + "epoch": 1.6, + "learning_rate": 4.6711012564671106e-05, + "loss": 0.7499, + "step": 721 + }, + { + "epoch": 1.6, + "learning_rate": 4.663710273466371e-05, + "loss": 0.7488, + "step": 722 + }, + { + "epoch": 1.6, + "learning_rate": 4.656319290465632e-05, + "loss": 0.7425, + "step": 723 + }, + { + "epoch": 1.6, + "learning_rate": 4.6489283074648935e-05, + "loss": 0.7574, + "step": 724 + }, + { + "epoch": 1.61, + "learning_rate": 4.641537324464154e-05, + "loss": 0.7394, + "step": 725 + }, + { + "epoch": 1.61, + "learning_rate": 4.634146341463415e-05, + "loss": 0.742, + "step": 726 + }, + { + "epoch": 1.61, + "learning_rate": 4.626755358462676e-05, + "loss": 0.7651, + "step": 727 + }, + { + "epoch": 1.61, + "learning_rate": 4.6193643754619364e-05, + "loss": 0.7553, + "step": 728 + }, + { + "epoch": 1.62, + "learning_rate": 4.611973392461197e-05, + "loss": 0.7625, + "step": 729 + }, + { + "epoch": 1.62, + "learning_rate": 4.6045824094604586e-05, + "loss": 0.7604, + "step": 730 + }, + { + "epoch": 1.62, + "learning_rate": 4.597191426459719e-05, + "loss": 0.7457, + "step": 731 + }, + { + "epoch": 1.62, + "learning_rate": 4.58980044345898e-05, + "loss": 0.7268, + "step": 732 + }, + { + "epoch": 1.62, + "learning_rate": 4.5824094604582415e-05, + "loss": 0.7469, + "step": 733 + }, + { + "epoch": 1.63, + "learning_rate": 4.575018477457502e-05, + "loss": 0.7533, + "step": 734 + }, + { + "epoch": 1.63, + "learning_rate": 4.567627494456763e-05, + "loss": 0.7617, + "step": 735 + }, + { + "epoch": 1.63, + "learning_rate": 4.560236511456024e-05, + "loss": 0.7178, + "step": 736 + }, + { + "epoch": 1.63, + "learning_rate": 4.5528455284552844e-05, + "loss": 0.7467, + "step": 737 + }, + { + "epoch": 1.64, + "learning_rate": 4.545454545454546e-05, + "loss": 0.7467, + "step": 738 + }, + { + "epoch": 1.64, + "learning_rate": 4.5380635624538066e-05, + "loss": 0.7378, + "step": 739 + }, + { + "epoch": 1.64, + "learning_rate": 4.530672579453067e-05, + "loss": 0.7443, + "step": 740 + }, + { + "epoch": 1.64, + "learning_rate": 4.523281596452328e-05, + "loss": 0.7225, + "step": 741 + }, + { + "epoch": 1.64, + "learning_rate": 4.5158906134515895e-05, + "loss": 0.7489, + "step": 742 + }, + { + "epoch": 1.65, + "learning_rate": 4.50849963045085e-05, + "loss": 0.7266, + "step": 743 + }, + { + "epoch": 1.65, + "learning_rate": 4.501108647450111e-05, + "loss": 0.7338, + "step": 744 + }, + { + "epoch": 1.65, + "learning_rate": 4.4937176644493724e-05, + "loss": 0.7421, + "step": 745 + }, + { + "epoch": 1.65, + "learning_rate": 4.4863266814486324e-05, + "loss": 0.7834, + "step": 746 + }, + { + "epoch": 1.66, + "learning_rate": 4.478935698447894e-05, + "loss": 0.7429, + "step": 747 + }, + { + "epoch": 1.66, + "learning_rate": 4.4715447154471546e-05, + "loss": 0.7463, + "step": 748 + }, + { + "epoch": 1.66, + "learning_rate": 4.4641537324464153e-05, + "loss": 0.756, + "step": 749 + }, + { + "epoch": 1.66, + "learning_rate": 4.456762749445677e-05, + "loss": 0.7413, + "step": 750 + }, + { + "epoch": 1.66, + "learning_rate": 4.4493717664449375e-05, + "loss": 0.741, + "step": 751 + }, + { + "epoch": 1.67, + "learning_rate": 4.441980783444198e-05, + "loss": 0.732, + "step": 752 + }, + { + "epoch": 1.67, + "learning_rate": 4.4345898004434597e-05, + "loss": 0.7492, + "step": 753 + }, + { + "epoch": 1.67, + "learning_rate": 4.4271988174427204e-05, + "loss": 0.732, + "step": 754 + }, + { + "epoch": 1.67, + "learning_rate": 4.4198078344419805e-05, + "loss": 0.7372, + "step": 755 + }, + { + "epoch": 1.68, + "learning_rate": 4.412416851441242e-05, + "loss": 0.7509, + "step": 756 + }, + { + "epoch": 1.68, + "learning_rate": 4.4050258684405026e-05, + "loss": 0.7464, + "step": 757 + }, + { + "epoch": 1.68, + "learning_rate": 4.3976348854397633e-05, + "loss": 0.7616, + "step": 758 + }, + { + "epoch": 1.68, + "learning_rate": 4.390243902439025e-05, + "loss": 0.7608, + "step": 759 + }, + { + "epoch": 1.68, + "learning_rate": 4.3828529194382855e-05, + "loss": 0.7267, + "step": 760 + }, + { + "epoch": 1.69, + "learning_rate": 4.375461936437546e-05, + "loss": 0.7436, + "step": 761 + }, + { + "epoch": 1.69, + "learning_rate": 4.3680709534368077e-05, + "loss": 0.7399, + "step": 762 + }, + { + "epoch": 1.69, + "learning_rate": 4.3606799704360684e-05, + "loss": 0.7488, + "step": 763 + }, + { + "epoch": 1.69, + "learning_rate": 4.353288987435329e-05, + "loss": 0.7485, + "step": 764 + }, + { + "epoch": 1.7, + "learning_rate": 4.34589800443459e-05, + "loss": 0.7381, + "step": 765 + }, + { + "epoch": 1.7, + "learning_rate": 4.3385070214338506e-05, + "loss": 0.7301, + "step": 766 + }, + { + "epoch": 1.7, + "learning_rate": 4.331116038433112e-05, + "loss": 0.7208, + "step": 767 + }, + { + "epoch": 1.7, + "learning_rate": 4.323725055432373e-05, + "loss": 0.7487, + "step": 768 + }, + { + "epoch": 1.7, + "learning_rate": 4.3163340724316335e-05, + "loss": 0.7508, + "step": 769 + }, + { + "epoch": 1.71, + "learning_rate": 4.308943089430895e-05, + "loss": 0.7316, + "step": 770 + }, + { + "epoch": 1.71, + "learning_rate": 4.301552106430156e-05, + "loss": 0.7223, + "step": 771 + }, + { + "epoch": 1.71, + "learning_rate": 4.2941611234294164e-05, + "loss": 0.7169, + "step": 772 + }, + { + "epoch": 1.71, + "learning_rate": 4.286770140428677e-05, + "loss": 0.7277, + "step": 773 + }, + { + "epoch": 1.72, + "learning_rate": 4.279379157427938e-05, + "loss": 0.7399, + "step": 774 + }, + { + "epoch": 1.72, + "learning_rate": 4.2719881744271986e-05, + "loss": 0.7319, + "step": 775 + }, + { + "epoch": 1.72, + "learning_rate": 4.26459719142646e-05, + "loss": 0.7416, + "step": 776 + }, + { + "epoch": 1.72, + "learning_rate": 4.257206208425721e-05, + "loss": 0.7469, + "step": 777 + }, + { + "epoch": 1.72, + "learning_rate": 4.2498152254249815e-05, + "loss": 0.7492, + "step": 778 + }, + { + "epoch": 1.73, + "learning_rate": 4.242424242424243e-05, + "loss": 0.7424, + "step": 779 + }, + { + "epoch": 1.73, + "learning_rate": 4.235033259423504e-05, + "loss": 0.7508, + "step": 780 + }, + { + "epoch": 1.73, + "learning_rate": 4.2276422764227644e-05, + "loss": 0.7464, + "step": 781 + }, + { + "epoch": 1.73, + "learning_rate": 4.220251293422025e-05, + "loss": 0.7392, + "step": 782 + }, + { + "epoch": 1.74, + "learning_rate": 4.212860310421286e-05, + "loss": 0.728, + "step": 783 + }, + { + "epoch": 1.74, + "learning_rate": 4.205469327420547e-05, + "loss": 0.7462, + "step": 784 + }, + { + "epoch": 1.74, + "learning_rate": 4.198078344419808e-05, + "loss": 0.7317, + "step": 785 + }, + { + "epoch": 1.74, + "learning_rate": 4.190687361419069e-05, + "loss": 0.7147, + "step": 786 + }, + { + "epoch": 1.74, + "learning_rate": 4.18329637841833e-05, + "loss": 0.7281, + "step": 787 + }, + { + "epoch": 1.75, + "learning_rate": 4.175905395417591e-05, + "loss": 0.7549, + "step": 788 + }, + { + "epoch": 1.75, + "learning_rate": 4.168514412416852e-05, + "loss": 0.7376, + "step": 789 + }, + { + "epoch": 1.75, + "learning_rate": 4.161123429416113e-05, + "loss": 0.732, + "step": 790 + }, + { + "epoch": 1.75, + "learning_rate": 4.153732446415373e-05, + "loss": 0.7325, + "step": 791 + }, + { + "epoch": 1.76, + "learning_rate": 4.146341463414634e-05, + "loss": 0.7463, + "step": 792 + }, + { + "epoch": 1.76, + "learning_rate": 4.138950480413895e-05, + "loss": 0.7079, + "step": 793 + }, + { + "epoch": 1.76, + "learning_rate": 4.131559497413156e-05, + "loss": 0.7501, + "step": 794 + }, + { + "epoch": 1.76, + "learning_rate": 4.124168514412417e-05, + "loss": 0.7268, + "step": 795 + }, + { + "epoch": 1.76, + "learning_rate": 4.116777531411678e-05, + "loss": 0.7256, + "step": 796 + }, + { + "epoch": 1.77, + "learning_rate": 4.109386548410939e-05, + "loss": 0.7266, + "step": 797 + }, + { + "epoch": 1.77, + "learning_rate": 4.1019955654102e-05, + "loss": 0.7419, + "step": 798 + }, + { + "epoch": 1.77, + "learning_rate": 4.094604582409461e-05, + "loss": 0.7396, + "step": 799 + }, + { + "epoch": 1.77, + "learning_rate": 4.087213599408721e-05, + "loss": 0.7292, + "step": 800 + }, + { + "epoch": 1.78, + "learning_rate": 4.0798226164079826e-05, + "loss": 0.7492, + "step": 801 + }, + { + "epoch": 1.78, + "learning_rate": 4.072431633407243e-05, + "loss": 0.763, + "step": 802 + }, + { + "epoch": 1.78, + "learning_rate": 4.065040650406504e-05, + "loss": 0.7275, + "step": 803 + }, + { + "epoch": 1.78, + "learning_rate": 4.057649667405765e-05, + "loss": 0.7356, + "step": 804 + }, + { + "epoch": 1.78, + "learning_rate": 4.050258684405026e-05, + "loss": 0.7444, + "step": 805 + }, + { + "epoch": 1.79, + "learning_rate": 4.042867701404287e-05, + "loss": 0.7407, + "step": 806 + }, + { + "epoch": 1.79, + "learning_rate": 4.035476718403548e-05, + "loss": 0.7187, + "step": 807 + }, + { + "epoch": 1.79, + "learning_rate": 4.028085735402809e-05, + "loss": 0.733, + "step": 808 + }, + { + "epoch": 1.79, + "learning_rate": 4.02069475240207e-05, + "loss": 0.748, + "step": 809 + }, + { + "epoch": 1.8, + "learning_rate": 4.0133037694013306e-05, + "loss": 0.7165, + "step": 810 + }, + { + "epoch": 1.8, + "learning_rate": 4.005912786400591e-05, + "loss": 0.7189, + "step": 811 + }, + { + "epoch": 1.8, + "learning_rate": 3.998521803399852e-05, + "loss": 0.7429, + "step": 812 + }, + { + "epoch": 1.8, + "learning_rate": 3.9911308203991135e-05, + "loss": 0.7397, + "step": 813 + }, + { + "epoch": 1.8, + "learning_rate": 3.983739837398374e-05, + "loss": 0.73, + "step": 814 + }, + { + "epoch": 1.81, + "learning_rate": 3.976348854397635e-05, + "loss": 0.7173, + "step": 815 + }, + { + "epoch": 1.81, + "learning_rate": 3.9689578713968964e-05, + "loss": 0.7395, + "step": 816 + }, + { + "epoch": 1.81, + "learning_rate": 3.961566888396157e-05, + "loss": 0.7353, + "step": 817 + }, + { + "epoch": 1.81, + "learning_rate": 3.954175905395418e-05, + "loss": 0.7266, + "step": 818 + }, + { + "epoch": 1.82, + "learning_rate": 3.9467849223946786e-05, + "loss": 0.7284, + "step": 819 + }, + { + "epoch": 1.82, + "learning_rate": 3.939393939393939e-05, + "loss": 0.7332, + "step": 820 + }, + { + "epoch": 1.82, + "learning_rate": 3.9320029563932e-05, + "loss": 0.7368, + "step": 821 + }, + { + "epoch": 1.82, + "learning_rate": 3.9246119733924615e-05, + "loss": 0.7192, + "step": 822 + }, + { + "epoch": 1.82, + "learning_rate": 3.917220990391722e-05, + "loss": 0.7302, + "step": 823 + }, + { + "epoch": 1.83, + "learning_rate": 3.909830007390983e-05, + "loss": 0.7396, + "step": 824 + }, + { + "epoch": 1.83, + "learning_rate": 3.9024390243902444e-05, + "loss": 0.7018, + "step": 825 + }, + { + "epoch": 1.83, + "learning_rate": 3.895048041389505e-05, + "loss": 0.7351, + "step": 826 + }, + { + "epoch": 1.83, + "learning_rate": 3.887657058388766e-05, + "loss": 0.7156, + "step": 827 + }, + { + "epoch": 1.83, + "learning_rate": 3.8802660753880266e-05, + "loss": 0.7216, + "step": 828 + }, + { + "epoch": 1.84, + "learning_rate": 3.8728750923872873e-05, + "loss": 0.7245, + "step": 829 + }, + { + "epoch": 1.84, + "learning_rate": 3.865484109386549e-05, + "loss": 0.7329, + "step": 830 + }, + { + "epoch": 1.84, + "learning_rate": 3.8580931263858095e-05, + "loss": 0.749, + "step": 831 + }, + { + "epoch": 1.84, + "learning_rate": 3.85070214338507e-05, + "loss": 0.728, + "step": 832 + }, + { + "epoch": 1.85, + "learning_rate": 3.8433111603843317e-05, + "loss": 0.7243, + "step": 833 + }, + { + "epoch": 1.85, + "learning_rate": 3.8359201773835924e-05, + "loss": 0.7189, + "step": 834 + }, + { + "epoch": 1.85, + "learning_rate": 3.828529194382853e-05, + "loss": 0.7448, + "step": 835 + }, + { + "epoch": 1.85, + "learning_rate": 3.8211382113821145e-05, + "loss": 0.7482, + "step": 836 + }, + { + "epoch": 1.85, + "learning_rate": 3.8137472283813746e-05, + "loss": 0.7251, + "step": 837 + }, + { + "epoch": 1.86, + "learning_rate": 3.8063562453806354e-05, + "loss": 0.725, + "step": 838 + }, + { + "epoch": 1.86, + "learning_rate": 3.798965262379897e-05, + "loss": 0.7204, + "step": 839 + }, + { + "epoch": 1.86, + "learning_rate": 3.7915742793791575e-05, + "loss": 0.7288, + "step": 840 + }, + { + "epoch": 1.86, + "learning_rate": 3.784183296378418e-05, + "loss": 0.7148, + "step": 841 + }, + { + "epoch": 1.87, + "learning_rate": 3.77679231337768e-05, + "loss": 0.712, + "step": 842 + }, + { + "epoch": 1.87, + "learning_rate": 3.7694013303769404e-05, + "loss": 0.7438, + "step": 843 + }, + { + "epoch": 1.87, + "learning_rate": 3.762010347376201e-05, + "loss": 0.7395, + "step": 844 + }, + { + "epoch": 1.87, + "learning_rate": 3.7546193643754626e-05, + "loss": 0.724, + "step": 845 + }, + { + "epoch": 1.87, + "learning_rate": 3.7472283813747226e-05, + "loss": 0.7187, + "step": 846 + }, + { + "epoch": 1.88, + "learning_rate": 3.739837398373984e-05, + "loss": 0.7038, + "step": 847 + }, + { + "epoch": 1.88, + "learning_rate": 3.732446415373245e-05, + "loss": 0.7227, + "step": 848 + }, + { + "epoch": 1.88, + "learning_rate": 3.7250554323725055e-05, + "loss": 0.7374, + "step": 849 + }, + { + "epoch": 1.88, + "learning_rate": 3.717664449371767e-05, + "loss": 0.7137, + "step": 850 + }, + { + "epoch": 1.89, + "learning_rate": 3.710273466371028e-05, + "loss": 0.7398, + "step": 851 + }, + { + "epoch": 1.89, + "learning_rate": 3.7028824833702884e-05, + "loss": 0.7397, + "step": 852 + }, + { + "epoch": 1.89, + "learning_rate": 3.69549150036955e-05, + "loss": 0.7227, + "step": 853 + }, + { + "epoch": 1.89, + "learning_rate": 3.6881005173688106e-05, + "loss": 0.7066, + "step": 854 + }, + { + "epoch": 1.89, + "learning_rate": 3.6807095343680706e-05, + "loss": 0.716, + "step": 855 + }, + { + "epoch": 1.9, + "learning_rate": 3.673318551367332e-05, + "loss": 0.7131, + "step": 856 + }, + { + "epoch": 1.9, + "learning_rate": 3.665927568366593e-05, + "loss": 0.7509, + "step": 857 + }, + { + "epoch": 1.9, + "learning_rate": 3.6585365853658535e-05, + "loss": 0.7182, + "step": 858 + }, + { + "epoch": 1.9, + "learning_rate": 3.651145602365115e-05, + "loss": 0.718, + "step": 859 + }, + { + "epoch": 1.91, + "learning_rate": 3.643754619364376e-05, + "loss": 0.7071, + "step": 860 + }, + { + "epoch": 1.91, + "learning_rate": 3.6363636363636364e-05, + "loss": 0.7157, + "step": 861 + }, + { + "epoch": 1.91, + "learning_rate": 3.628972653362898e-05, + "loss": 0.7303, + "step": 862 + }, + { + "epoch": 1.91, + "learning_rate": 3.6215816703621586e-05, + "loss": 0.7242, + "step": 863 + }, + { + "epoch": 1.91, + "learning_rate": 3.6141906873614186e-05, + "loss": 0.7404, + "step": 864 + }, + { + "epoch": 1.92, + "learning_rate": 3.60679970436068e-05, + "loss": 0.7306, + "step": 865 + }, + { + "epoch": 1.92, + "learning_rate": 3.599408721359941e-05, + "loss": 0.712, + "step": 866 + }, + { + "epoch": 1.92, + "learning_rate": 3.5920177383592015e-05, + "loss": 0.7281, + "step": 867 + }, + { + "epoch": 1.92, + "learning_rate": 3.584626755358463e-05, + "loss": 0.7122, + "step": 868 + }, + { + "epoch": 1.93, + "learning_rate": 3.577235772357724e-05, + "loss": 0.7151, + "step": 869 + }, + { + "epoch": 1.93, + "learning_rate": 3.5698447893569844e-05, + "loss": 0.7353, + "step": 870 + }, + { + "epoch": 1.93, + "learning_rate": 3.562453806356246e-05, + "loss": 0.7313, + "step": 871 + }, + { + "epoch": 1.93, + "learning_rate": 3.5550628233555066e-05, + "loss": 0.7078, + "step": 872 + }, + { + "epoch": 1.93, + "learning_rate": 3.547671840354767e-05, + "loss": 0.7207, + "step": 873 + }, + { + "epoch": 1.94, + "learning_rate": 3.540280857354028e-05, + "loss": 0.7238, + "step": 874 + }, + { + "epoch": 1.94, + "learning_rate": 3.532889874353289e-05, + "loss": 0.7269, + "step": 875 + }, + { + "epoch": 1.94, + "learning_rate": 3.52549889135255e-05, + "loss": 0.6943, + "step": 876 + }, + { + "epoch": 1.94, + "learning_rate": 3.518107908351811e-05, + "loss": 0.6894, + "step": 877 + }, + { + "epoch": 1.95, + "learning_rate": 3.510716925351072e-05, + "loss": 0.7088, + "step": 878 + }, + { + "epoch": 1.95, + "learning_rate": 3.503325942350333e-05, + "loss": 0.7372, + "step": 879 + }, + { + "epoch": 1.95, + "learning_rate": 3.495934959349594e-05, + "loss": 0.7253, + "step": 880 + }, + { + "epoch": 1.95, + "learning_rate": 3.4885439763488546e-05, + "loss": 0.7108, + "step": 881 + }, + { + "epoch": 1.95, + "learning_rate": 3.481152993348116e-05, + "loss": 0.7275, + "step": 882 + }, + { + "epoch": 1.96, + "learning_rate": 3.473762010347376e-05, + "loss": 0.7266, + "step": 883 + }, + { + "epoch": 1.96, + "learning_rate": 3.466371027346637e-05, + "loss": 0.7009, + "step": 884 + }, + { + "epoch": 1.96, + "learning_rate": 3.458980044345898e-05, + "loss": 0.7173, + "step": 885 + }, + { + "epoch": 1.96, + "learning_rate": 3.451589061345159e-05, + "loss": 0.724, + "step": 886 + }, + { + "epoch": 1.97, + "learning_rate": 3.44419807834442e-05, + "loss": 0.7069, + "step": 887 + }, + { + "epoch": 1.97, + "learning_rate": 3.436807095343681e-05, + "loss": 0.7026, + "step": 888 + }, + { + "epoch": 1.97, + "learning_rate": 3.429416112342942e-05, + "loss": 0.7246, + "step": 889 + }, + { + "epoch": 1.97, + "learning_rate": 3.4220251293422026e-05, + "loss": 0.7173, + "step": 890 + }, + { + "epoch": 1.97, + "learning_rate": 3.414634146341464e-05, + "loss": 0.7221, + "step": 891 + }, + { + "epoch": 1.98, + "learning_rate": 3.407243163340724e-05, + "loss": 0.7281, + "step": 892 + }, + { + "epoch": 1.98, + "learning_rate": 3.3998521803399855e-05, + "loss": 0.7093, + "step": 893 + }, + { + "epoch": 1.98, + "learning_rate": 3.392461197339246e-05, + "loss": 0.7146, + "step": 894 + }, + { + "epoch": 1.98, + "learning_rate": 3.385070214338507e-05, + "loss": 0.7276, + "step": 895 + }, + { + "epoch": 1.99, + "learning_rate": 3.3776792313377684e-05, + "loss": 0.7234, + "step": 896 + }, + { + "epoch": 1.99, + "learning_rate": 3.370288248337029e-05, + "loss": 0.7139, + "step": 897 + }, + { + "epoch": 1.99, + "learning_rate": 3.36289726533629e-05, + "loss": 0.7339, + "step": 898 + }, + { + "epoch": 1.99, + "learning_rate": 3.355506282335551e-05, + "loss": 0.7225, + "step": 899 + }, + { + "epoch": 1.99, + "learning_rate": 3.348115299334812e-05, + "loss": 0.7219, + "step": 900 + }, + { + "epoch": 2.0, + "learning_rate": 3.340724316334072e-05, + "loss": 0.7195, + "step": 901 + }, + { + "epoch": 2.0, + "learning_rate": 3.3333333333333335e-05, + "loss": 0.722, + "step": 902 + }, + { + "epoch": 2.0, + "eval_loss": 0.9731828570365906, + "eval_runtime": 496.0356, + "eval_samples_per_second": 32.135, + "eval_steps_per_second": 0.504, + "eval_wer": 0.759285117848898, + "step": 902 + }, + { + "epoch": 2.0, + "learning_rate": 3.325942350332594e-05, + "loss": 1.0519, + "step": 903 + }, + { + "epoch": 2.0, + "learning_rate": 3.318551367331855e-05, + "loss": 0.7017, + "step": 904 + }, + { + "epoch": 2.01, + "learning_rate": 3.3111603843311164e-05, + "loss": 0.6736, + "step": 905 + }, + { + "epoch": 2.01, + "learning_rate": 3.303769401330377e-05, + "loss": 0.7095, + "step": 906 + }, + { + "epoch": 2.01, + "learning_rate": 3.296378418329638e-05, + "loss": 0.708, + "step": 907 + }, + { + "epoch": 2.01, + "learning_rate": 3.288987435328899e-05, + "loss": 0.6951, + "step": 908 + }, + { + "epoch": 2.02, + "learning_rate": 3.28159645232816e-05, + "loss": 0.6904, + "step": 909 + }, + { + "epoch": 2.02, + "learning_rate": 3.274205469327421e-05, + "loss": 0.7247, + "step": 910 + }, + { + "epoch": 2.02, + "learning_rate": 3.2668144863266815e-05, + "loss": 0.6902, + "step": 911 + }, + { + "epoch": 2.02, + "learning_rate": 3.259423503325942e-05, + "loss": 0.6871, + "step": 912 + }, + { + "epoch": 2.02, + "learning_rate": 3.2520325203252037e-05, + "loss": 0.6836, + "step": 913 + }, + { + "epoch": 2.03, + "learning_rate": 3.2446415373244644e-05, + "loss": 0.7123, + "step": 914 + }, + { + "epoch": 2.03, + "learning_rate": 3.237250554323725e-05, + "loss": 0.6875, + "step": 915 + }, + { + "epoch": 2.03, + "learning_rate": 3.2298595713229866e-05, + "loss": 0.6848, + "step": 916 + }, + { + "epoch": 2.03, + "learning_rate": 3.222468588322247e-05, + "loss": 0.7001, + "step": 917 + }, + { + "epoch": 2.04, + "learning_rate": 3.215077605321508e-05, + "loss": 0.7013, + "step": 918 + }, + { + "epoch": 2.04, + "learning_rate": 3.207686622320769e-05, + "loss": 0.687, + "step": 919 + }, + { + "epoch": 2.04, + "learning_rate": 3.2002956393200295e-05, + "loss": 0.7157, + "step": 920 + }, + { + "epoch": 2.04, + "learning_rate": 3.19290465631929e-05, + "loss": 0.7039, + "step": 921 + }, + { + "epoch": 2.04, + "learning_rate": 3.185513673318552e-05, + "loss": 0.6905, + "step": 922 + }, + { + "epoch": 2.05, + "learning_rate": 3.1781226903178124e-05, + "loss": 0.7005, + "step": 923 + }, + { + "epoch": 2.05, + "learning_rate": 3.170731707317073e-05, + "loss": 0.6968, + "step": 924 + }, + { + "epoch": 2.05, + "learning_rate": 3.1633407243163346e-05, + "loss": 0.7053, + "step": 925 + }, + { + "epoch": 2.05, + "learning_rate": 3.155949741315595e-05, + "loss": 0.7216, + "step": 926 + }, + { + "epoch": 2.06, + "learning_rate": 3.148558758314856e-05, + "loss": 0.7071, + "step": 927 + }, + { + "epoch": 2.06, + "learning_rate": 3.141167775314117e-05, + "loss": 0.6974, + "step": 928 + }, + { + "epoch": 2.06, + "learning_rate": 3.1337767923133775e-05, + "loss": 0.7182, + "step": 929 + }, + { + "epoch": 2.06, + "learning_rate": 3.126385809312638e-05, + "loss": 0.697, + "step": 930 + }, + { + "epoch": 2.06, + "learning_rate": 3.1189948263119e-05, + "loss": 0.6993, + "step": 931 + }, + { + "epoch": 2.07, + "learning_rate": 3.1116038433111604e-05, + "loss": 0.7236, + "step": 932 + }, + { + "epoch": 2.07, + "learning_rate": 3.104212860310421e-05, + "loss": 0.7066, + "step": 933 + }, + { + "epoch": 2.07, + "learning_rate": 3.0968218773096826e-05, + "loss": 0.6842, + "step": 934 + }, + { + "epoch": 2.07, + "learning_rate": 3.089430894308943e-05, + "loss": 0.7084, + "step": 935 + }, + { + "epoch": 2.08, + "learning_rate": 3.082039911308204e-05, + "loss": 0.6936, + "step": 936 + }, + { + "epoch": 2.08, + "learning_rate": 3.0746489283074655e-05, + "loss": 0.6903, + "step": 937 + }, + { + "epoch": 2.08, + "learning_rate": 3.0672579453067255e-05, + "loss": 0.6785, + "step": 938 + }, + { + "epoch": 2.08, + "learning_rate": 3.059866962305987e-05, + "loss": 0.6824, + "step": 939 + }, + { + "epoch": 2.08, + "learning_rate": 3.052475979305248e-05, + "loss": 0.703, + "step": 940 + }, + { + "epoch": 2.09, + "learning_rate": 3.0450849963045088e-05, + "loss": 0.716, + "step": 941 + }, + { + "epoch": 2.09, + "learning_rate": 3.0376940133037695e-05, + "loss": 0.7118, + "step": 942 + }, + { + "epoch": 2.09, + "learning_rate": 3.0303030303030306e-05, + "loss": 0.6825, + "step": 943 + }, + { + "epoch": 2.09, + "learning_rate": 3.0229120473022916e-05, + "loss": 0.679, + "step": 944 + }, + { + "epoch": 2.1, + "learning_rate": 3.0155210643015524e-05, + "loss": 0.6908, + "step": 945 + }, + { + "epoch": 2.1, + "learning_rate": 3.0081300813008135e-05, + "loss": 0.6697, + "step": 946 + }, + { + "epoch": 2.1, + "learning_rate": 3.000739098300074e-05, + "loss": 0.6667, + "step": 947 + }, + { + "epoch": 2.1, + "learning_rate": 2.993348115299335e-05, + "loss": 0.6857, + "step": 948 + }, + { + "epoch": 2.1, + "learning_rate": 2.9859571322985957e-05, + "loss": 0.6816, + "step": 949 + }, + { + "epoch": 2.11, + "learning_rate": 2.9785661492978568e-05, + "loss": 0.7112, + "step": 950 + }, + { + "epoch": 2.11, + "learning_rate": 2.971175166297118e-05, + "loss": 0.6764, + "step": 951 + }, + { + "epoch": 2.11, + "learning_rate": 2.9637841832963786e-05, + "loss": 0.6962, + "step": 952 + }, + { + "epoch": 2.11, + "learning_rate": 2.9563932002956397e-05, + "loss": 0.6609, + "step": 953 + }, + { + "epoch": 2.12, + "learning_rate": 2.9490022172949004e-05, + "loss": 0.6981, + "step": 954 + }, + { + "epoch": 2.12, + "learning_rate": 2.9416112342941615e-05, + "loss": 0.6815, + "step": 955 + }, + { + "epoch": 2.12, + "learning_rate": 2.934220251293422e-05, + "loss": 0.7157, + "step": 956 + }, + { + "epoch": 2.12, + "learning_rate": 2.926829268292683e-05, + "loss": 0.6793, + "step": 957 + }, + { + "epoch": 2.12, + "learning_rate": 2.9194382852919437e-05, + "loss": 0.7055, + "step": 958 + }, + { + "epoch": 2.13, + "learning_rate": 2.9120473022912048e-05, + "loss": 0.7082, + "step": 959 + }, + { + "epoch": 2.13, + "learning_rate": 2.904656319290466e-05, + "loss": 0.7065, + "step": 960 + }, + { + "epoch": 2.13, + "learning_rate": 2.8972653362897266e-05, + "loss": 0.6811, + "step": 961 + }, + { + "epoch": 2.13, + "learning_rate": 2.8898743532889877e-05, + "loss": 0.7102, + "step": 962 + }, + { + "epoch": 2.14, + "learning_rate": 2.8824833702882487e-05, + "loss": 0.702, + "step": 963 + }, + { + "epoch": 2.14, + "learning_rate": 2.8750923872875095e-05, + "loss": 0.6983, + "step": 964 + }, + { + "epoch": 2.14, + "learning_rate": 2.86770140428677e-05, + "loss": 0.7045, + "step": 965 + }, + { + "epoch": 2.14, + "learning_rate": 2.860310421286031e-05, + "loss": 0.6894, + "step": 966 + }, + { + "epoch": 2.14, + "learning_rate": 2.852919438285292e-05, + "loss": 0.6839, + "step": 967 + }, + { + "epoch": 2.15, + "learning_rate": 2.8455284552845528e-05, + "loss": 0.6913, + "step": 968 + }, + { + "epoch": 2.15, + "learning_rate": 2.838137472283814e-05, + "loss": 0.6855, + "step": 969 + }, + { + "epoch": 2.15, + "learning_rate": 2.830746489283075e-05, + "loss": 0.6843, + "step": 970 + }, + { + "epoch": 2.15, + "learning_rate": 2.8233555062823357e-05, + "loss": 0.7058, + "step": 971 + }, + { + "epoch": 2.16, + "learning_rate": 2.8159645232815967e-05, + "loss": 0.6956, + "step": 972 + }, + { + "epoch": 2.16, + "learning_rate": 2.8085735402808578e-05, + "loss": 0.6816, + "step": 973 + }, + { + "epoch": 2.16, + "learning_rate": 2.8011825572801182e-05, + "loss": 0.6936, + "step": 974 + }, + { + "epoch": 2.16, + "learning_rate": 2.793791574279379e-05, + "loss": 0.6835, + "step": 975 + }, + { + "epoch": 2.16, + "learning_rate": 2.78640059127864e-05, + "loss": 0.6878, + "step": 976 + }, + { + "epoch": 2.17, + "learning_rate": 2.779009608277901e-05, + "loss": 0.6746, + "step": 977 + }, + { + "epoch": 2.17, + "learning_rate": 2.771618625277162e-05, + "loss": 0.6847, + "step": 978 + }, + { + "epoch": 2.17, + "learning_rate": 2.764227642276423e-05, + "loss": 0.6737, + "step": 979 + }, + { + "epoch": 2.17, + "learning_rate": 2.756836659275684e-05, + "loss": 0.671, + "step": 980 + }, + { + "epoch": 2.17, + "learning_rate": 2.7494456762749448e-05, + "loss": 0.6814, + "step": 981 + }, + { + "epoch": 2.18, + "learning_rate": 2.742054693274206e-05, + "loss": 0.6643, + "step": 982 + }, + { + "epoch": 2.18, + "learning_rate": 2.7346637102734662e-05, + "loss": 0.6995, + "step": 983 + }, + { + "epoch": 2.18, + "learning_rate": 2.7272727272727273e-05, + "loss": 0.6728, + "step": 984 + }, + { + "epoch": 2.18, + "learning_rate": 2.719881744271988e-05, + "loss": 0.6869, + "step": 985 + }, + { + "epoch": 2.19, + "learning_rate": 2.712490761271249e-05, + "loss": 0.6819, + "step": 986 + }, + { + "epoch": 2.19, + "learning_rate": 2.7050997782705102e-05, + "loss": 0.7077, + "step": 987 + }, + { + "epoch": 2.19, + "learning_rate": 2.697708795269771e-05, + "loss": 0.6763, + "step": 988 + }, + { + "epoch": 2.19, + "learning_rate": 2.690317812269032e-05, + "loss": 0.6853, + "step": 989 + }, + { + "epoch": 2.19, + "learning_rate": 2.682926829268293e-05, + "loss": 0.6945, + "step": 990 + }, + { + "epoch": 2.2, + "learning_rate": 2.675535846267554e-05, + "loss": 0.6916, + "step": 991 + }, + { + "epoch": 2.2, + "learning_rate": 2.6681448632668142e-05, + "loss": 0.6738, + "step": 992 + }, + { + "epoch": 2.2, + "learning_rate": 2.6607538802660753e-05, + "loss": 0.6954, + "step": 993 + }, + { + "epoch": 2.2, + "learning_rate": 2.6533628972653364e-05, + "loss": 0.6868, + "step": 994 + }, + { + "epoch": 2.21, + "learning_rate": 2.645971914264597e-05, + "loss": 0.7037, + "step": 995 + }, + { + "epoch": 2.21, + "learning_rate": 2.6385809312638582e-05, + "loss": 0.7072, + "step": 996 + }, + { + "epoch": 2.21, + "learning_rate": 2.6311899482631193e-05, + "loss": 0.6908, + "step": 997 + }, + { + "epoch": 2.21, + "learning_rate": 2.62379896526238e-05, + "loss": 0.696, + "step": 998 + }, + { + "epoch": 2.21, + "learning_rate": 2.616407982261641e-05, + "loss": 0.7197, + "step": 999 + }, + { + "epoch": 2.22, + "learning_rate": 2.6090169992609022e-05, + "loss": 0.6981, + "step": 1000 + }, + { + "epoch": 2.22, + "learning_rate": 2.601626016260163e-05, + "loss": 0.694, + "step": 1001 + }, + { + "epoch": 2.22, + "learning_rate": 2.5942350332594233e-05, + "loss": 0.683, + "step": 1002 + }, + { + "epoch": 2.22, + "learning_rate": 2.5868440502586844e-05, + "loss": 0.6763, + "step": 1003 + }, + { + "epoch": 2.23, + "learning_rate": 2.5794530672579455e-05, + "loss": 0.6886, + "step": 1004 + }, + { + "epoch": 2.23, + "learning_rate": 2.5720620842572062e-05, + "loss": 0.6846, + "step": 1005 + }, + { + "epoch": 2.23, + "learning_rate": 2.5646711012564673e-05, + "loss": 0.6944, + "step": 1006 + }, + { + "epoch": 2.23, + "learning_rate": 2.5572801182557284e-05, + "loss": 0.6795, + "step": 1007 + }, + { + "epoch": 2.23, + "learning_rate": 2.549889135254989e-05, + "loss": 0.6966, + "step": 1008 + }, + { + "epoch": 2.24, + "learning_rate": 2.5424981522542502e-05, + "loss": 0.6799, + "step": 1009 + }, + { + "epoch": 2.24, + "learning_rate": 2.5351071692535113e-05, + "loss": 0.691, + "step": 1010 + }, + { + "epoch": 2.24, + "learning_rate": 2.5277161862527717e-05, + "loss": 0.6688, + "step": 1011 + }, + { + "epoch": 2.24, + "learning_rate": 2.5203252032520324e-05, + "loss": 0.678, + "step": 1012 + }, + { + "epoch": 2.25, + "learning_rate": 2.5129342202512935e-05, + "loss": 0.6805, + "step": 1013 + }, + { + "epoch": 2.25, + "learning_rate": 2.5055432372505546e-05, + "loss": 0.7044, + "step": 1014 + }, + { + "epoch": 2.25, + "learning_rate": 2.4981522542498153e-05, + "loss": 0.6733, + "step": 1015 + }, + { + "epoch": 2.25, + "learning_rate": 2.4907612712490764e-05, + "loss": 0.6841, + "step": 1016 + }, + { + "epoch": 2.25, + "learning_rate": 2.483370288248337e-05, + "loss": 0.6786, + "step": 1017 + }, + { + "epoch": 2.26, + "learning_rate": 2.475979305247598e-05, + "loss": 0.708, + "step": 1018 + }, + { + "epoch": 2.26, + "learning_rate": 2.468588322246859e-05, + "loss": 0.6829, + "step": 1019 + }, + { + "epoch": 2.26, + "learning_rate": 2.46119733924612e-05, + "loss": 0.6921, + "step": 1020 + }, + { + "epoch": 2.26, + "learning_rate": 2.4538063562453808e-05, + "loss": 0.6985, + "step": 1021 + }, + { + "epoch": 2.27, + "learning_rate": 2.4464153732446415e-05, + "loss": 0.6591, + "step": 1022 + }, + { + "epoch": 2.27, + "learning_rate": 2.4390243902439026e-05, + "loss": 0.6993, + "step": 1023 + }, + { + "epoch": 2.27, + "learning_rate": 2.4316334072431633e-05, + "loss": 0.6744, + "step": 1024 + }, + { + "epoch": 2.27, + "learning_rate": 2.4242424242424244e-05, + "loss": 0.6983, + "step": 1025 + }, + { + "epoch": 2.27, + "learning_rate": 2.4168514412416855e-05, + "loss": 0.6673, + "step": 1026 + }, + { + "epoch": 2.28, + "learning_rate": 2.4094604582409462e-05, + "loss": 0.7011, + "step": 1027 + }, + { + "epoch": 2.28, + "learning_rate": 2.402069475240207e-05, + "loss": 0.664, + "step": 1028 + }, + { + "epoch": 2.28, + "learning_rate": 2.394678492239468e-05, + "loss": 0.7047, + "step": 1029 + }, + { + "epoch": 2.28, + "learning_rate": 2.387287509238729e-05, + "loss": 0.6832, + "step": 1030 + }, + { + "epoch": 2.29, + "learning_rate": 2.3798965262379895e-05, + "loss": 0.6799, + "step": 1031 + }, + { + "epoch": 2.29, + "learning_rate": 2.3725055432372506e-05, + "loss": 0.682, + "step": 1032 + }, + { + "epoch": 2.29, + "learning_rate": 2.3651145602365117e-05, + "loss": 0.6876, + "step": 1033 + }, + { + "epoch": 2.29, + "learning_rate": 2.3577235772357724e-05, + "loss": 0.693, + "step": 1034 + }, + { + "epoch": 2.29, + "learning_rate": 2.3503325942350335e-05, + "loss": 0.6904, + "step": 1035 + }, + { + "epoch": 2.3, + "learning_rate": 2.3429416112342942e-05, + "loss": 0.6727, + "step": 1036 + }, + { + "epoch": 2.3, + "learning_rate": 2.3355506282335553e-05, + "loss": 0.6891, + "step": 1037 + }, + { + "epoch": 2.3, + "learning_rate": 2.328159645232816e-05, + "loss": 0.6876, + "step": 1038 + }, + { + "epoch": 2.3, + "learning_rate": 2.320768662232077e-05, + "loss": 0.6763, + "step": 1039 + }, + { + "epoch": 2.31, + "learning_rate": 2.313377679231338e-05, + "loss": 0.6906, + "step": 1040 + }, + { + "epoch": 2.31, + "learning_rate": 2.3059866962305986e-05, + "loss": 0.6795, + "step": 1041 + }, + { + "epoch": 2.31, + "learning_rate": 2.2985957132298597e-05, + "loss": 0.6989, + "step": 1042 + }, + { + "epoch": 2.31, + "learning_rate": 2.2912047302291207e-05, + "loss": 0.6771, + "step": 1043 + }, + { + "epoch": 2.31, + "learning_rate": 2.2838137472283815e-05, + "loss": 0.6918, + "step": 1044 + }, + { + "epoch": 2.32, + "learning_rate": 2.2764227642276422e-05, + "loss": 0.7107, + "step": 1045 + }, + { + "epoch": 2.32, + "learning_rate": 2.2690317812269033e-05, + "loss": 0.6802, + "step": 1046 + }, + { + "epoch": 2.32, + "learning_rate": 2.261640798226164e-05, + "loss": 0.6642, + "step": 1047 + }, + { + "epoch": 2.32, + "learning_rate": 2.254249815225425e-05, + "loss": 0.7026, + "step": 1048 + }, + { + "epoch": 2.33, + "learning_rate": 2.2468588322246862e-05, + "loss": 0.6709, + "step": 1049 + }, + { + "epoch": 2.33, + "learning_rate": 2.239467849223947e-05, + "loss": 0.682, + "step": 1050 + }, + { + "epoch": 2.33, + "learning_rate": 2.2320768662232077e-05, + "loss": 0.6742, + "step": 1051 + }, + { + "epoch": 2.33, + "learning_rate": 2.2246858832224687e-05, + "loss": 0.6839, + "step": 1052 + }, + { + "epoch": 2.33, + "learning_rate": 2.2172949002217298e-05, + "loss": 0.6488, + "step": 1053 + }, + { + "epoch": 2.34, + "learning_rate": 2.2099039172209902e-05, + "loss": 0.6798, + "step": 1054 + }, + { + "epoch": 2.34, + "learning_rate": 2.2025129342202513e-05, + "loss": 0.6986, + "step": 1055 + }, + { + "epoch": 2.34, + "learning_rate": 2.1951219512195124e-05, + "loss": 0.6986, + "step": 1056 + }, + { + "epoch": 2.34, + "learning_rate": 2.187730968218773e-05, + "loss": 0.6855, + "step": 1057 + }, + { + "epoch": 2.35, + "learning_rate": 2.1803399852180342e-05, + "loss": 0.6851, + "step": 1058 + }, + { + "epoch": 2.35, + "learning_rate": 2.172949002217295e-05, + "loss": 0.6652, + "step": 1059 + }, + { + "epoch": 2.35, + "learning_rate": 2.165558019216556e-05, + "loss": 0.7077, + "step": 1060 + }, + { + "epoch": 2.35, + "learning_rate": 2.1581670362158168e-05, + "loss": 0.6852, + "step": 1061 + }, + { + "epoch": 2.35, + "learning_rate": 2.150776053215078e-05, + "loss": 0.6733, + "step": 1062 + }, + { + "epoch": 2.36, + "learning_rate": 2.1433850702143386e-05, + "loss": 0.6794, + "step": 1063 + }, + { + "epoch": 2.36, + "learning_rate": 2.1359940872135993e-05, + "loss": 0.6964, + "step": 1064 + }, + { + "epoch": 2.36, + "learning_rate": 2.1286031042128604e-05, + "loss": 0.6756, + "step": 1065 + }, + { + "epoch": 2.36, + "learning_rate": 2.1212121212121215e-05, + "loss": 0.6911, + "step": 1066 + }, + { + "epoch": 2.37, + "learning_rate": 2.1138211382113822e-05, + "loss": 0.6606, + "step": 1067 + }, + { + "epoch": 2.37, + "learning_rate": 2.106430155210643e-05, + "loss": 0.697, + "step": 1068 + }, + { + "epoch": 2.37, + "learning_rate": 2.099039172209904e-05, + "loss": 0.6772, + "step": 1069 + }, + { + "epoch": 2.37, + "learning_rate": 2.091648189209165e-05, + "loss": 0.6729, + "step": 1070 + }, + { + "epoch": 2.37, + "learning_rate": 2.084257206208426e-05, + "loss": 0.6738, + "step": 1071 + }, + { + "epoch": 2.38, + "learning_rate": 2.0768662232076866e-05, + "loss": 0.6862, + "step": 1072 + }, + { + "epoch": 2.38, + "learning_rate": 2.0694752402069477e-05, + "loss": 0.6868, + "step": 1073 + }, + { + "epoch": 2.38, + "learning_rate": 2.0620842572062084e-05, + "loss": 0.6785, + "step": 1074 + }, + { + "epoch": 2.38, + "learning_rate": 2.0546932742054695e-05, + "loss": 0.6605, + "step": 1075 + }, + { + "epoch": 2.39, + "learning_rate": 2.0473022912047306e-05, + "loss": 0.6947, + "step": 1076 + }, + { + "epoch": 2.39, + "learning_rate": 2.0399113082039913e-05, + "loss": 0.6816, + "step": 1077 + }, + { + "epoch": 2.39, + "learning_rate": 2.032520325203252e-05, + "loss": 0.6899, + "step": 1078 + }, + { + "epoch": 2.39, + "learning_rate": 2.025129342202513e-05, + "loss": 0.7032, + "step": 1079 + }, + { + "epoch": 2.39, + "learning_rate": 2.017738359201774e-05, + "loss": 0.6956, + "step": 1080 + }, + { + "epoch": 2.4, + "learning_rate": 2.010347376201035e-05, + "loss": 0.6768, + "step": 1081 + }, + { + "epoch": 2.4, + "learning_rate": 2.0029563932002957e-05, + "loss": 0.668, + "step": 1082 + }, + { + "epoch": 2.4, + "learning_rate": 1.9955654101995567e-05, + "loss": 0.6736, + "step": 1083 + }, + { + "epoch": 2.4, + "learning_rate": 1.9881744271988175e-05, + "loss": 0.6682, + "step": 1084 + }, + { + "epoch": 2.41, + "learning_rate": 1.9807834441980786e-05, + "loss": 0.6657, + "step": 1085 + }, + { + "epoch": 2.41, + "learning_rate": 1.9733924611973393e-05, + "loss": 0.6675, + "step": 1086 + }, + { + "epoch": 2.41, + "learning_rate": 1.9660014781966e-05, + "loss": 0.6985, + "step": 1087 + }, + { + "epoch": 2.41, + "learning_rate": 1.958610495195861e-05, + "loss": 0.7021, + "step": 1088 + }, + { + "epoch": 2.41, + "learning_rate": 1.9512195121951222e-05, + "loss": 0.6778, + "step": 1089 + }, + { + "epoch": 2.42, + "learning_rate": 1.943828529194383e-05, + "loss": 0.6738, + "step": 1090 + }, + { + "epoch": 2.42, + "learning_rate": 1.9364375461936437e-05, + "loss": 0.6746, + "step": 1091 + }, + { + "epoch": 2.42, + "learning_rate": 1.9290465631929047e-05, + "loss": 0.6873, + "step": 1092 + }, + { + "epoch": 2.42, + "learning_rate": 1.9216555801921658e-05, + "loss": 0.6645, + "step": 1093 + }, + { + "epoch": 2.43, + "learning_rate": 1.9142645971914266e-05, + "loss": 0.6711, + "step": 1094 + }, + { + "epoch": 2.43, + "learning_rate": 1.9068736141906873e-05, + "loss": 0.6691, + "step": 1095 + }, + { + "epoch": 2.43, + "learning_rate": 1.8994826311899484e-05, + "loss": 0.6787, + "step": 1096 + }, + { + "epoch": 2.43, + "learning_rate": 1.892091648189209e-05, + "loss": 0.6857, + "step": 1097 + }, + { + "epoch": 2.43, + "learning_rate": 1.8847006651884702e-05, + "loss": 0.6755, + "step": 1098 + }, + { + "epoch": 2.44, + "learning_rate": 1.8773096821877313e-05, + "loss": 0.663, + "step": 1099 + }, + { + "epoch": 2.44, + "learning_rate": 1.869918699186992e-05, + "loss": 0.6645, + "step": 1100 + }, + { + "epoch": 2.44, + "learning_rate": 1.8625277161862528e-05, + "loss": 0.6679, + "step": 1101 + }, + { + "epoch": 2.44, + "learning_rate": 1.855136733185514e-05, + "loss": 0.6962, + "step": 1102 + }, + { + "epoch": 2.45, + "learning_rate": 1.847745750184775e-05, + "loss": 0.6929, + "step": 1103 + }, + { + "epoch": 2.45, + "learning_rate": 1.8403547671840353e-05, + "loss": 0.6926, + "step": 1104 + }, + { + "epoch": 2.45, + "learning_rate": 1.8329637841832964e-05, + "loss": 0.6826, + "step": 1105 + }, + { + "epoch": 2.45, + "learning_rate": 1.8255728011825575e-05, + "loss": 0.705, + "step": 1106 + }, + { + "epoch": 2.45, + "learning_rate": 1.8181818181818182e-05, + "loss": 0.6744, + "step": 1107 + }, + { + "epoch": 2.46, + "learning_rate": 1.8107908351810793e-05, + "loss": 0.6711, + "step": 1108 + }, + { + "epoch": 2.46, + "learning_rate": 1.80339985218034e-05, + "loss": 0.6847, + "step": 1109 + }, + { + "epoch": 2.46, + "learning_rate": 1.7960088691796008e-05, + "loss": 0.6809, + "step": 1110 + }, + { + "epoch": 2.46, + "learning_rate": 1.788617886178862e-05, + "loss": 0.6777, + "step": 1111 + }, + { + "epoch": 2.47, + "learning_rate": 1.781226903178123e-05, + "loss": 0.6767, + "step": 1112 + }, + { + "epoch": 2.47, + "learning_rate": 1.7738359201773837e-05, + "loss": 0.6831, + "step": 1113 + }, + { + "epoch": 2.47, + "learning_rate": 1.7664449371766444e-05, + "loss": 0.6916, + "step": 1114 + }, + { + "epoch": 2.47, + "learning_rate": 1.7590539541759055e-05, + "loss": 0.6577, + "step": 1115 + }, + { + "epoch": 2.47, + "learning_rate": 1.7516629711751666e-05, + "loss": 0.6701, + "step": 1116 + }, + { + "epoch": 2.48, + "learning_rate": 1.7442719881744273e-05, + "loss": 0.6852, + "step": 1117 + }, + { + "epoch": 2.48, + "learning_rate": 1.736881005173688e-05, + "loss": 0.6649, + "step": 1118 + }, + { + "epoch": 2.48, + "learning_rate": 1.729490022172949e-05, + "loss": 0.6762, + "step": 1119 + }, + { + "epoch": 2.48, + "learning_rate": 1.72209903917221e-05, + "loss": 0.6953, + "step": 1120 + }, + { + "epoch": 2.49, + "learning_rate": 1.714708056171471e-05, + "loss": 0.6744, + "step": 1121 + }, + { + "epoch": 2.49, + "learning_rate": 1.707317073170732e-05, + "loss": 0.676, + "step": 1122 + }, + { + "epoch": 2.49, + "learning_rate": 1.6999260901699927e-05, + "loss": 0.6721, + "step": 1123 + }, + { + "epoch": 2.49, + "learning_rate": 1.6925351071692535e-05, + "loss": 0.685, + "step": 1124 + }, + { + "epoch": 2.49, + "learning_rate": 1.6851441241685146e-05, + "loss": 0.667, + "step": 1125 + }, + { + "epoch": 2.5, + "learning_rate": 1.6777531411677756e-05, + "loss": 0.6826, + "step": 1126 + }, + { + "epoch": 2.5, + "learning_rate": 1.670362158167036e-05, + "loss": 0.6829, + "step": 1127 + }, + { + "epoch": 2.5, + "learning_rate": 1.662971175166297e-05, + "loss": 0.6797, + "step": 1128 + }, + { + "epoch": 2.5, + "learning_rate": 1.6555801921655582e-05, + "loss": 0.6575, + "step": 1129 + }, + { + "epoch": 2.5, + "learning_rate": 1.648189209164819e-05, + "loss": 0.6719, + "step": 1130 + }, + { + "epoch": 2.51, + "learning_rate": 1.64079822616408e-05, + "loss": 0.6692, + "step": 1131 + }, + { + "epoch": 2.51, + "learning_rate": 1.6334072431633408e-05, + "loss": 0.6697, + "step": 1132 + }, + { + "epoch": 2.51, + "learning_rate": 1.6260162601626018e-05, + "loss": 0.6964, + "step": 1133 + }, + { + "epoch": 2.51, + "learning_rate": 1.6186252771618626e-05, + "loss": 0.6702, + "step": 1134 + }, + { + "epoch": 2.52, + "learning_rate": 1.6112342941611236e-05, + "loss": 0.6784, + "step": 1135 + }, + { + "epoch": 2.52, + "learning_rate": 1.6038433111603844e-05, + "loss": 0.6816, + "step": 1136 + }, + { + "epoch": 2.52, + "learning_rate": 1.596452328159645e-05, + "loss": 0.6664, + "step": 1137 + }, + { + "epoch": 2.52, + "learning_rate": 1.5890613451589062e-05, + "loss": 0.6691, + "step": 1138 + }, + { + "epoch": 2.52, + "learning_rate": 1.5816703621581673e-05, + "loss": 0.6831, + "step": 1139 + }, + { + "epoch": 2.53, + "learning_rate": 1.574279379157428e-05, + "loss": 0.6566, + "step": 1140 + }, + { + "epoch": 2.53, + "learning_rate": 1.5668883961566888e-05, + "loss": 0.6607, + "step": 1141 + }, + { + "epoch": 2.53, + "learning_rate": 1.55949741315595e-05, + "loss": 0.6579, + "step": 1142 + }, + { + "epoch": 2.53, + "learning_rate": 1.5521064301552106e-05, + "loss": 0.6688, + "step": 1143 + }, + { + "epoch": 2.54, + "learning_rate": 1.5447154471544717e-05, + "loss": 0.6875, + "step": 1144 + }, + { + "epoch": 2.54, + "learning_rate": 1.5373244641537327e-05, + "loss": 0.6742, + "step": 1145 + }, + { + "epoch": 2.54, + "learning_rate": 1.5299334811529935e-05, + "loss": 0.6736, + "step": 1146 + }, + { + "epoch": 2.54, + "learning_rate": 1.5225424981522544e-05, + "loss": 0.6678, + "step": 1147 + }, + { + "epoch": 2.54, + "learning_rate": 1.5151515151515153e-05, + "loss": 0.6667, + "step": 1148 + }, + { + "epoch": 2.55, + "learning_rate": 1.5077605321507762e-05, + "loss": 0.6491, + "step": 1149 + }, + { + "epoch": 2.55, + "learning_rate": 1.500369549150037e-05, + "loss": 0.6505, + "step": 1150 + }, + { + "epoch": 2.55, + "learning_rate": 1.4929785661492978e-05, + "loss": 0.6771, + "step": 1151 + }, + { + "epoch": 2.55, + "learning_rate": 1.485587583148559e-05, + "loss": 0.6634, + "step": 1152 + }, + { + "epoch": 2.56, + "learning_rate": 1.4781966001478198e-05, + "loss": 0.6712, + "step": 1153 + }, + { + "epoch": 2.56, + "learning_rate": 1.4708056171470807e-05, + "loss": 0.6646, + "step": 1154 + }, + { + "epoch": 2.56, + "learning_rate": 1.4634146341463415e-05, + "loss": 0.6992, + "step": 1155 + }, + { + "epoch": 2.56, + "learning_rate": 1.4560236511456024e-05, + "loss": 0.6795, + "step": 1156 + }, + { + "epoch": 2.56, + "learning_rate": 1.4486326681448633e-05, + "loss": 0.6809, + "step": 1157 + }, + { + "epoch": 2.57, + "learning_rate": 1.4412416851441244e-05, + "loss": 0.6687, + "step": 1158 + }, + { + "epoch": 2.57, + "learning_rate": 1.433850702143385e-05, + "loss": 0.6707, + "step": 1159 + }, + { + "epoch": 2.57, + "learning_rate": 1.426459719142646e-05, + "loss": 0.6802, + "step": 1160 + }, + { + "epoch": 2.57, + "learning_rate": 1.419068736141907e-05, + "loss": 0.6624, + "step": 1161 + }, + { + "epoch": 2.58, + "learning_rate": 1.4116777531411678e-05, + "loss": 0.6985, + "step": 1162 + }, + { + "epoch": 2.58, + "learning_rate": 1.4042867701404289e-05, + "loss": 0.6808, + "step": 1163 + }, + { + "epoch": 2.58, + "learning_rate": 1.3968957871396895e-05, + "loss": 0.6802, + "step": 1164 + }, + { + "epoch": 2.58, + "learning_rate": 1.3895048041389506e-05, + "loss": 0.6685, + "step": 1165 + }, + { + "epoch": 2.58, + "learning_rate": 1.3821138211382115e-05, + "loss": 0.6702, + "step": 1166 + }, + { + "epoch": 2.59, + "learning_rate": 1.3747228381374724e-05, + "loss": 0.6664, + "step": 1167 + }, + { + "epoch": 2.59, + "learning_rate": 1.3673318551367331e-05, + "loss": 0.6597, + "step": 1168 + }, + { + "epoch": 2.59, + "learning_rate": 1.359940872135994e-05, + "loss": 0.6818, + "step": 1169 + }, + { + "epoch": 2.59, + "learning_rate": 1.3525498891352551e-05, + "loss": 0.6685, + "step": 1170 + }, + { + "epoch": 2.6, + "learning_rate": 1.345158906134516e-05, + "loss": 0.666, + "step": 1171 + }, + { + "epoch": 2.6, + "learning_rate": 1.337767923133777e-05, + "loss": 0.6882, + "step": 1172 + }, + { + "epoch": 2.6, + "learning_rate": 1.3303769401330377e-05, + "loss": 0.6702, + "step": 1173 + }, + { + "epoch": 2.6, + "learning_rate": 1.3229859571322986e-05, + "loss": 0.6771, + "step": 1174 + }, + { + "epoch": 2.6, + "learning_rate": 1.3155949741315596e-05, + "loss": 0.6715, + "step": 1175 + }, + { + "epoch": 2.61, + "learning_rate": 1.3082039911308206e-05, + "loss": 0.6538, + "step": 1176 + }, + { + "epoch": 2.61, + "learning_rate": 1.3008130081300815e-05, + "loss": 0.6619, + "step": 1177 + }, + { + "epoch": 2.61, + "learning_rate": 1.2934220251293422e-05, + "loss": 0.6735, + "step": 1178 + }, + { + "epoch": 2.61, + "learning_rate": 1.2860310421286031e-05, + "loss": 0.6693, + "step": 1179 + }, + { + "epoch": 2.62, + "learning_rate": 1.2786400591278642e-05, + "loss": 0.6474, + "step": 1180 + }, + { + "epoch": 2.62, + "learning_rate": 1.2712490761271251e-05, + "loss": 0.677, + "step": 1181 + }, + { + "epoch": 2.62, + "learning_rate": 1.2638580931263858e-05, + "loss": 0.6817, + "step": 1182 + }, + { + "epoch": 2.62, + "learning_rate": 1.2564671101256467e-05, + "loss": 0.6704, + "step": 1183 + }, + { + "epoch": 2.62, + "learning_rate": 1.2490761271249077e-05, + "loss": 0.6464, + "step": 1184 + }, + { + "epoch": 2.63, + "learning_rate": 1.2416851441241686e-05, + "loss": 0.6844, + "step": 1185 + }, + { + "epoch": 2.63, + "learning_rate": 1.2342941611234295e-05, + "loss": 0.681, + "step": 1186 + }, + { + "epoch": 2.63, + "learning_rate": 1.2269031781226904e-05, + "loss": 0.6782, + "step": 1187 + }, + { + "epoch": 2.63, + "learning_rate": 1.2195121951219513e-05, + "loss": 0.6781, + "step": 1188 + }, + { + "epoch": 2.64, + "learning_rate": 1.2121212121212122e-05, + "loss": 0.6817, + "step": 1189 + }, + { + "epoch": 2.64, + "learning_rate": 1.2047302291204731e-05, + "loss": 0.6717, + "step": 1190 + }, + { + "epoch": 2.64, + "learning_rate": 1.197339246119734e-05, + "loss": 0.6704, + "step": 1191 + }, + { + "epoch": 2.64, + "learning_rate": 1.1899482631189948e-05, + "loss": 0.6675, + "step": 1192 + }, + { + "epoch": 2.64, + "learning_rate": 1.1825572801182558e-05, + "loss": 0.6586, + "step": 1193 + }, + { + "epoch": 2.65, + "learning_rate": 1.1751662971175167e-05, + "loss": 0.6592, + "step": 1194 + }, + { + "epoch": 2.65, + "learning_rate": 1.1677753141167776e-05, + "loss": 0.6789, + "step": 1195 + }, + { + "epoch": 2.65, + "learning_rate": 1.1603843311160386e-05, + "loss": 0.6721, + "step": 1196 + }, + { + "epoch": 2.65, + "learning_rate": 1.1529933481152993e-05, + "loss": 0.6675, + "step": 1197 + }, + { + "epoch": 2.66, + "learning_rate": 1.1456023651145604e-05, + "loss": 0.681, + "step": 1198 + }, + { + "epoch": 2.66, + "learning_rate": 1.1382113821138211e-05, + "loss": 0.6711, + "step": 1199 + }, + { + "epoch": 2.66, + "learning_rate": 1.130820399113082e-05, + "loss": 0.6575, + "step": 1200 + }, + { + "epoch": 2.66, + "learning_rate": 1.1234294161123431e-05, + "loss": 0.6553, + "step": 1201 + }, + { + "epoch": 2.66, + "learning_rate": 1.1160384331116038e-05, + "loss": 0.6562, + "step": 1202 + }, + { + "epoch": 2.67, + "learning_rate": 1.1086474501108649e-05, + "loss": 0.6706, + "step": 1203 + }, + { + "epoch": 2.67, + "learning_rate": 1.1012564671101257e-05, + "loss": 0.6772, + "step": 1204 + }, + { + "epoch": 2.67, + "learning_rate": 1.0938654841093866e-05, + "loss": 0.6671, + "step": 1205 + }, + { + "epoch": 2.67, + "learning_rate": 1.0864745011086475e-05, + "loss": 0.6989, + "step": 1206 + }, + { + "epoch": 2.68, + "learning_rate": 1.0790835181079084e-05, + "loss": 0.6861, + "step": 1207 + }, + { + "epoch": 2.68, + "learning_rate": 1.0716925351071693e-05, + "loss": 0.6777, + "step": 1208 + }, + { + "epoch": 2.68, + "learning_rate": 1.0643015521064302e-05, + "loss": 0.6616, + "step": 1209 + }, + { + "epoch": 2.68, + "learning_rate": 1.0569105691056911e-05, + "loss": 0.6805, + "step": 1210 + }, + { + "epoch": 2.68, + "learning_rate": 1.049519586104952e-05, + "loss": 0.6628, + "step": 1211 + }, + { + "epoch": 2.69, + "learning_rate": 1.042128603104213e-05, + "loss": 0.6901, + "step": 1212 + }, + { + "epoch": 2.69, + "learning_rate": 1.0347376201034738e-05, + "loss": 0.672, + "step": 1213 + }, + { + "epoch": 2.69, + "learning_rate": 1.0273466371027347e-05, + "loss": 0.6681, + "step": 1214 + }, + { + "epoch": 2.69, + "learning_rate": 1.0199556541019956e-05, + "loss": 0.6732, + "step": 1215 + }, + { + "epoch": 2.7, + "learning_rate": 1.0125646711012566e-05, + "loss": 0.6462, + "step": 1216 + }, + { + "epoch": 2.7, + "learning_rate": 1.0051736881005175e-05, + "loss": 0.676, + "step": 1217 + }, + { + "epoch": 2.7, + "learning_rate": 9.977827050997784e-06, + "loss": 0.6782, + "step": 1218 + }, + { + "epoch": 2.7, + "learning_rate": 9.903917220990393e-06, + "loss": 0.662, + "step": 1219 + }, + { + "epoch": 2.7, + "learning_rate": 9.830007390983e-06, + "loss": 0.6705, + "step": 1220 + }, + { + "epoch": 2.71, + "learning_rate": 9.756097560975611e-06, + "loss": 0.6712, + "step": 1221 + }, + { + "epoch": 2.71, + "learning_rate": 9.682187730968218e-06, + "loss": 0.6842, + "step": 1222 + }, + { + "epoch": 2.71, + "learning_rate": 9.608277900960829e-06, + "loss": 0.6746, + "step": 1223 + }, + { + "epoch": 2.71, + "learning_rate": 9.534368070953437e-06, + "loss": 0.6728, + "step": 1224 + }, + { + "epoch": 2.72, + "learning_rate": 9.460458240946046e-06, + "loss": 0.6767, + "step": 1225 + }, + { + "epoch": 2.72, + "learning_rate": 9.386548410938656e-06, + "loss": 0.6552, + "step": 1226 + }, + { + "epoch": 2.72, + "learning_rate": 9.312638580931264e-06, + "loss": 0.6695, + "step": 1227 + }, + { + "epoch": 2.72, + "learning_rate": 9.238728750923875e-06, + "loss": 0.6678, + "step": 1228 + }, + { + "epoch": 2.72, + "learning_rate": 9.164818920916482e-06, + "loss": 0.6719, + "step": 1229 + }, + { + "epoch": 2.73, + "learning_rate": 9.090909090909091e-06, + "loss": 0.6748, + "step": 1230 + }, + { + "epoch": 2.73, + "learning_rate": 9.0169992609017e-06, + "loss": 0.6622, + "step": 1231 + }, + { + "epoch": 2.73, + "learning_rate": 8.94308943089431e-06, + "loss": 0.6618, + "step": 1232 + }, + { + "epoch": 2.73, + "learning_rate": 8.869179600886918e-06, + "loss": 0.6543, + "step": 1233 + }, + { + "epoch": 2.74, + "learning_rate": 8.795269770879527e-06, + "loss": 0.6822, + "step": 1234 + }, + { + "epoch": 2.74, + "learning_rate": 8.721359940872136e-06, + "loss": 0.6577, + "step": 1235 + }, + { + "epoch": 2.74, + "learning_rate": 8.647450110864746e-06, + "loss": 0.6678, + "step": 1236 + }, + { + "epoch": 2.74, + "learning_rate": 8.573540280857355e-06, + "loss": 0.6461, + "step": 1237 + }, + { + "epoch": 2.74, + "learning_rate": 8.499630450849964e-06, + "loss": 0.66, + "step": 1238 + }, + { + "epoch": 2.75, + "learning_rate": 8.425720620842573e-06, + "loss": 0.6593, + "step": 1239 + }, + { + "epoch": 2.75, + "learning_rate": 8.35181079083518e-06, + "loss": 0.6586, + "step": 1240 + }, + { + "epoch": 2.75, + "learning_rate": 8.277900960827791e-06, + "loss": 0.6745, + "step": 1241 + }, + { + "epoch": 2.75, + "learning_rate": 8.2039911308204e-06, + "loss": 0.6506, + "step": 1242 + }, + { + "epoch": 2.76, + "learning_rate": 8.130081300813009e-06, + "loss": 0.6529, + "step": 1243 + }, + { + "epoch": 2.76, + "learning_rate": 8.056171470805618e-06, + "loss": 0.6779, + "step": 1244 + }, + { + "epoch": 2.76, + "learning_rate": 7.982261640798226e-06, + "loss": 0.64, + "step": 1245 + }, + { + "epoch": 2.76, + "learning_rate": 7.908351810790836e-06, + "loss": 0.6603, + "step": 1246 + }, + { + "epoch": 2.76, + "learning_rate": 7.834441980783444e-06, + "loss": 0.6954, + "step": 1247 + }, + { + "epoch": 2.77, + "learning_rate": 7.760532150776053e-06, + "loss": 0.6671, + "step": 1248 + }, + { + "epoch": 2.77, + "learning_rate": 7.686622320768664e-06, + "loss": 0.6412, + "step": 1249 + }, + { + "epoch": 2.77, + "learning_rate": 7.612712490761272e-06, + "loss": 0.6763, + "step": 1250 + }, + { + "epoch": 2.77, + "learning_rate": 7.538802660753881e-06, + "loss": 0.6633, + "step": 1251 + }, + { + "epoch": 2.78, + "learning_rate": 7.464892830746489e-06, + "loss": 0.6496, + "step": 1252 + }, + { + "epoch": 2.78, + "learning_rate": 7.390983000739099e-06, + "loss": 0.6481, + "step": 1253 + }, + { + "epoch": 2.78, + "learning_rate": 7.317073170731707e-06, + "loss": 0.6718, + "step": 1254 + }, + { + "epoch": 2.78, + "learning_rate": 7.2431633407243165e-06, + "loss": 0.6738, + "step": 1255 + }, + { + "epoch": 2.78, + "learning_rate": 7.169253510716925e-06, + "loss": 0.6692, + "step": 1256 + }, + { + "epoch": 2.79, + "learning_rate": 7.095343680709535e-06, + "loss": 0.6662, + "step": 1257 + }, + { + "epoch": 2.79, + "learning_rate": 7.0214338507021446e-06, + "loss": 0.657, + "step": 1258 + }, + { + "epoch": 2.79, + "learning_rate": 6.947524020694753e-06, + "loss": 0.646, + "step": 1259 + }, + { + "epoch": 2.79, + "learning_rate": 6.873614190687362e-06, + "loss": 0.6506, + "step": 1260 + }, + { + "epoch": 2.8, + "learning_rate": 6.79970436067997e-06, + "loss": 0.6588, + "step": 1261 + }, + { + "epoch": 2.8, + "learning_rate": 6.72579453067258e-06, + "loss": 0.6906, + "step": 1262 + }, + { + "epoch": 2.8, + "learning_rate": 6.651884700665188e-06, + "loss": 0.6626, + "step": 1263 + }, + { + "epoch": 2.8, + "learning_rate": 6.577974870657798e-06, + "loss": 0.6795, + "step": 1264 + }, + { + "epoch": 2.8, + "learning_rate": 6.504065040650407e-06, + "loss": 0.6471, + "step": 1265 + }, + { + "epoch": 2.81, + "learning_rate": 6.4301552106430155e-06, + "loss": 0.6757, + "step": 1266 + }, + { + "epoch": 2.81, + "learning_rate": 6.3562453806356255e-06, + "loss": 0.6755, + "step": 1267 + }, + { + "epoch": 2.81, + "learning_rate": 6.282335550628234e-06, + "loss": 0.6802, + "step": 1268 + }, + { + "epoch": 2.81, + "learning_rate": 6.208425720620843e-06, + "loss": 0.6751, + "step": 1269 + }, + { + "epoch": 2.82, + "learning_rate": 6.134515890613452e-06, + "loss": 0.6675, + "step": 1270 + }, + { + "epoch": 2.82, + "learning_rate": 6.060606060606061e-06, + "loss": 0.6663, + "step": 1271 + }, + { + "epoch": 2.82, + "learning_rate": 5.98669623059867e-06, + "loss": 0.6613, + "step": 1272 + }, + { + "epoch": 2.82, + "learning_rate": 5.912786400591279e-06, + "loss": 0.6713, + "step": 1273 + }, + { + "epoch": 2.82, + "learning_rate": 5.838876570583888e-06, + "loss": 0.6596, + "step": 1274 + }, + { + "epoch": 2.83, + "learning_rate": 5.7649667405764965e-06, + "loss": 0.6543, + "step": 1275 + }, + { + "epoch": 2.83, + "learning_rate": 5.6910569105691056e-06, + "loss": 0.6693, + "step": 1276 + }, + { + "epoch": 2.83, + "learning_rate": 5.6171470805617155e-06, + "loss": 0.6677, + "step": 1277 + }, + { + "epoch": 2.83, + "learning_rate": 5.5432372505543246e-06, + "loss": 0.6807, + "step": 1278 + }, + { + "epoch": 2.83, + "learning_rate": 5.469327420546933e-06, + "loss": 0.669, + "step": 1279 + }, + { + "epoch": 2.84, + "learning_rate": 5.395417590539542e-06, + "loss": 0.6806, + "step": 1280 + }, + { + "epoch": 2.84, + "learning_rate": 5.321507760532151e-06, + "loss": 0.6572, + "step": 1281 + }, + { + "epoch": 2.84, + "learning_rate": 5.24759793052476e-06, + "loss": 0.659, + "step": 1282 + }, + { + "epoch": 2.84, + "learning_rate": 5.173688100517369e-06, + "loss": 0.6614, + "step": 1283 + }, + { + "epoch": 2.85, + "learning_rate": 5.099778270509978e-06, + "loss": 0.6713, + "step": 1284 + }, + { + "epoch": 2.85, + "learning_rate": 5.025868440502587e-06, + "loss": 0.6608, + "step": 1285 + }, + { + "epoch": 2.85, + "learning_rate": 4.951958610495196e-06, + "loss": 0.6597, + "step": 1286 + }, + { + "epoch": 2.85, + "learning_rate": 4.8780487804878055e-06, + "loss": 0.661, + "step": 1287 + }, + { + "epoch": 2.85, + "learning_rate": 4.8041389504804146e-06, + "loss": 0.6631, + "step": 1288 + }, + { + "epoch": 2.86, + "learning_rate": 4.730229120473023e-06, + "loss": 0.6812, + "step": 1289 + }, + { + "epoch": 2.86, + "learning_rate": 4.656319290465632e-06, + "loss": 0.6611, + "step": 1290 + }, + { + "epoch": 2.86, + "learning_rate": 4.582409460458241e-06, + "loss": 0.6804, + "step": 1291 + }, + { + "epoch": 2.86, + "learning_rate": 4.50849963045085e-06, + "loss": 0.6655, + "step": 1292 + }, + { + "epoch": 2.87, + "learning_rate": 4.434589800443459e-06, + "loss": 0.6634, + "step": 1293 + }, + { + "epoch": 2.87, + "learning_rate": 4.360679970436068e-06, + "loss": 0.6642, + "step": 1294 + }, + { + "epoch": 2.87, + "learning_rate": 4.286770140428677e-06, + "loss": 0.6826, + "step": 1295 + }, + { + "epoch": 2.87, + "learning_rate": 4.212860310421286e-06, + "loss": 0.6986, + "step": 1296 + }, + { + "epoch": 2.87, + "learning_rate": 4.1389504804138955e-06, + "loss": 0.6538, + "step": 1297 + }, + { + "epoch": 2.88, + "learning_rate": 4.0650406504065046e-06, + "loss": 0.6831, + "step": 1298 + }, + { + "epoch": 2.88, + "learning_rate": 3.991130820399113e-06, + "loss": 0.6597, + "step": 1299 + }, + { + "epoch": 2.88, + "learning_rate": 3.917220990391722e-06, + "loss": 0.6864, + "step": 1300 + }, + { + "epoch": 2.88, + "learning_rate": 3.843311160384332e-06, + "loss": 0.6499, + "step": 1301 + }, + { + "epoch": 2.89, + "learning_rate": 3.7694013303769405e-06, + "loss": 0.6661, + "step": 1302 + }, + { + "epoch": 2.89, + "learning_rate": 3.6954915003695496e-06, + "loss": 0.6762, + "step": 1303 + }, + { + "epoch": 2.89, + "learning_rate": 3.6215816703621582e-06, + "loss": 0.6672, + "step": 1304 + }, + { + "epoch": 2.89, + "learning_rate": 3.5476718403547673e-06, + "loss": 0.6606, + "step": 1305 + }, + { + "epoch": 2.89, + "learning_rate": 3.4737620103473764e-06, + "loss": 0.6557, + "step": 1306 + }, + { + "epoch": 2.9, + "learning_rate": 3.399852180339985e-06, + "loss": 0.6763, + "step": 1307 + }, + { + "epoch": 2.9, + "learning_rate": 3.325942350332594e-06, + "loss": 0.6542, + "step": 1308 + }, + { + "epoch": 2.9, + "learning_rate": 3.2520325203252037e-06, + "loss": 0.6592, + "step": 1309 + }, + { + "epoch": 2.9, + "learning_rate": 3.1781226903178127e-06, + "loss": 0.6636, + "step": 1310 + }, + { + "epoch": 2.91, + "learning_rate": 3.1042128603104214e-06, + "loss": 0.6487, + "step": 1311 + }, + { + "epoch": 2.91, + "learning_rate": 3.0303030303030305e-06, + "loss": 0.6763, + "step": 1312 + }, + { + "epoch": 2.91, + "learning_rate": 2.9563932002956396e-06, + "loss": 0.6617, + "step": 1313 + }, + { + "epoch": 2.91, + "learning_rate": 2.8824833702882482e-06, + "loss": 0.6683, + "step": 1314 + }, + { + "epoch": 2.91, + "learning_rate": 2.8085735402808577e-06, + "loss": 0.6658, + "step": 1315 + }, + { + "epoch": 2.92, + "learning_rate": 2.7346637102734664e-06, + "loss": 0.6639, + "step": 1316 + }, + { + "epoch": 2.92, + "learning_rate": 2.6607538802660755e-06, + "loss": 0.6671, + "step": 1317 + }, + { + "epoch": 2.92, + "learning_rate": 2.5868440502586846e-06, + "loss": 0.67, + "step": 1318 + }, + { + "epoch": 2.92, + "learning_rate": 2.5129342202512937e-06, + "loss": 0.6904, + "step": 1319 + }, + { + "epoch": 2.93, + "learning_rate": 2.4390243902439027e-06, + "loss": 0.6444, + "step": 1320 + }, + { + "epoch": 2.93, + "learning_rate": 2.3651145602365114e-06, + "loss": 0.6626, + "step": 1321 + }, + { + "epoch": 2.93, + "learning_rate": 2.2912047302291205e-06, + "loss": 0.6861, + "step": 1322 + }, + { + "epoch": 2.93, + "learning_rate": 2.2172949002217296e-06, + "loss": 0.6626, + "step": 1323 + }, + { + "epoch": 2.93, + "learning_rate": 2.1433850702143387e-06, + "loss": 0.6687, + "step": 1324 + }, + { + "epoch": 2.94, + "learning_rate": 2.0694752402069477e-06, + "loss": 0.6723, + "step": 1325 + }, + { + "epoch": 2.94, + "learning_rate": 1.9955654101995564e-06, + "loss": 0.6842, + "step": 1326 + }, + { + "epoch": 2.94, + "learning_rate": 1.921655580192166e-06, + "loss": 0.6391, + "step": 1327 + }, + { + "epoch": 2.94, + "learning_rate": 1.8477457501847748e-06, + "loss": 0.6612, + "step": 1328 + }, + { + "epoch": 2.95, + "learning_rate": 1.7738359201773837e-06, + "loss": 0.6542, + "step": 1329 + }, + { + "epoch": 2.95, + "learning_rate": 1.6999260901699925e-06, + "loss": 0.671, + "step": 1330 + }, + { + "epoch": 2.95, + "learning_rate": 1.6260162601626018e-06, + "loss": 0.6669, + "step": 1331 + }, + { + "epoch": 2.95, + "learning_rate": 1.5521064301552107e-06, + "loss": 0.6671, + "step": 1332 + }, + { + "epoch": 2.95, + "learning_rate": 1.4781966001478198e-06, + "loss": 0.6375, + "step": 1333 + }, + { + "epoch": 2.96, + "learning_rate": 1.4042867701404289e-06, + "loss": 0.6593, + "step": 1334 + }, + { + "epoch": 2.96, + "learning_rate": 1.3303769401330377e-06, + "loss": 0.6719, + "step": 1335 + }, + { + "epoch": 2.96, + "learning_rate": 1.2564671101256468e-06, + "loss": 0.6673, + "step": 1336 + }, + { + "epoch": 2.96, + "learning_rate": 1.1825572801182557e-06, + "loss": 0.6624, + "step": 1337 + }, + { + "epoch": 2.97, + "learning_rate": 1.1086474501108648e-06, + "loss": 0.6479, + "step": 1338 + }, + { + "epoch": 2.97, + "learning_rate": 1.0347376201034739e-06, + "loss": 0.668, + "step": 1339 + }, + { + "epoch": 2.97, + "learning_rate": 9.60827790096083e-07, + "loss": 0.6592, + "step": 1340 + }, + { + "epoch": 2.97, + "learning_rate": 8.869179600886918e-07, + "loss": 0.658, + "step": 1341 + }, + { + "epoch": 2.97, + "learning_rate": 8.130081300813009e-07, + "loss": 0.6538, + "step": 1342 + }, + { + "epoch": 2.98, + "learning_rate": 7.390983000739099e-07, + "loss": 0.6621, + "step": 1343 + }, + { + "epoch": 2.98, + "learning_rate": 6.651884700665189e-07, + "loss": 0.6663, + "step": 1344 + }, + { + "epoch": 2.98, + "learning_rate": 5.912786400591279e-07, + "loss": 0.6573, + "step": 1345 + }, + { + "epoch": 2.98, + "learning_rate": 5.173688100517369e-07, + "loss": 0.6785, + "step": 1346 + }, + { + "epoch": 2.99, + "learning_rate": 4.434589800443459e-07, + "loss": 0.6408, + "step": 1347 + }, + { + "epoch": 2.99, + "learning_rate": 3.6954915003695495e-07, + "loss": 0.663, + "step": 1348 + }, + { + "epoch": 2.99, + "learning_rate": 2.956393200295639e-07, + "loss": 0.6562, + "step": 1349 + }, + { + "epoch": 2.99, + "learning_rate": 2.2172949002217296e-07, + "loss": 0.6537, + "step": 1350 + }, + { + "epoch": 2.99, + "learning_rate": 1.4781966001478196e-07, + "loss": 0.664, + "step": 1351 + }, + { + "epoch": 3.0, + "learning_rate": 7.390983000739098e-08, + "loss": 0.6657, + "step": 1352 + }, + { + "epoch": 3.0, + "learning_rate": 0.0, + "loss": 0.6589, + "step": 1353 + }, + { + "epoch": 3.0, + "eval_loss": 0.9302364587783813, + "eval_runtime": 496.1152, + "eval_samples_per_second": 32.13, + "eval_steps_per_second": 0.504, + "eval_wer": 0.7427813602969554, + "step": 1353 + }, + { + "epoch": 3.0, + "step": 1353, + "total_flos": 6.225660003734846e+19, + "train_loss": 0.8526812995792933, + "train_runtime": 42752.8496, + "train_samples_per_second": 32.442, + "train_steps_per_second": 0.032 + } + ], + "max_steps": 1353, + "num_train_epochs": 3, + "total_flos": 6.225660003734846e+19, + "trial_name": null, + "trial_params": null +}