diff --git "a/1B/20250802/trainer_state.json" "b/1B/20250802/trainer_state.json" new file mode 100644--- /dev/null +++ "b/1B/20250802/trainer_state.json" @@ -0,0 +1,12030 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 2000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 1.6666666666666668e-07, + "loss": 2.0515, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 3.3333333333333335e-07, + "loss": 2.0566, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 5.000000000000001e-07, + "loss": 2.0623, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 6.666666666666667e-07, + "loss": 2.0472, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 8.333333333333333e-07, + "loss": 2.0446, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 1.0000000000000002e-06, + "loss": 2.0509, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 1.1666666666666668e-06, + "loss": 2.0109, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 1.3333333333333334e-06, + "loss": 2.0202, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 1.5e-06, + "loss": 1.9422, + "step": 9 + }, + { + "epoch": 0.01, + "learning_rate": 1.6666666666666667e-06, + "loss": 1.9279, + "step": 10 + }, + { + "epoch": 0.01, + "learning_rate": 1.8333333333333333e-06, + "loss": 1.9032, + "step": 11 + }, + { + "epoch": 0.01, + "learning_rate": 2.0000000000000003e-06, + "loss": 1.7856, + "step": 12 + }, + { + "epoch": 0.01, + "learning_rate": 2.166666666666667e-06, + "loss": 1.7715, + "step": 13 + }, + { + "epoch": 0.01, + "learning_rate": 2.3333333333333336e-06, + "loss": 1.7619, + "step": 14 + }, + { + "epoch": 0.01, + "learning_rate": 2.5e-06, + "loss": 1.6709, + "step": 15 + }, + { + "epoch": 0.01, + "learning_rate": 2.666666666666667e-06, + "loss": 1.6379, + "step": 16 + }, + { + "epoch": 0.01, + "learning_rate": 2.8333333333333335e-06, + "loss": 1.6177, + "step": 17 + }, + { + "epoch": 0.01, + "learning_rate": 3e-06, + "loss": 1.5808, + "step": 18 + }, + { + "epoch": 0.01, + "learning_rate": 3.1666666666666667e-06, + "loss": 1.5683, + "step": 19 + }, + { + "epoch": 0.01, + "learning_rate": 3.3333333333333333e-06, + "loss": 1.5503, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 3.5e-06, + "loss": 1.5162, + "step": 21 + }, + { + "epoch": 0.01, + "learning_rate": 3.6666666666666666e-06, + "loss": 1.5339, + "step": 22 + }, + { + "epoch": 0.01, + "learning_rate": 3.833333333333334e-06, + "loss": 1.4775, + "step": 23 + }, + { + "epoch": 0.01, + "learning_rate": 4.000000000000001e-06, + "loss": 1.4577, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 4.166666666666667e-06, + "loss": 1.4375, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 4.333333333333334e-06, + "loss": 1.3869, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 4.5e-06, + "loss": 1.3853, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 4.666666666666667e-06, + "loss": 1.3675, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 4.833333333333333e-06, + "loss": 1.3401, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 5e-06, + "loss": 1.2995, + "step": 30 + }, + { + "epoch": 0.02, + "learning_rate": 5.1666666666666675e-06, + "loss": 1.2877, + "step": 31 + }, + { + "epoch": 0.02, + "learning_rate": 5.333333333333334e-06, + "loss": 1.2621, + "step": 32 + }, + { + "epoch": 0.02, + "learning_rate": 5.500000000000001e-06, + "loss": 1.2547, + "step": 33 + }, + { + "epoch": 0.02, + "learning_rate": 5.666666666666667e-06, + "loss": 1.223, + "step": 34 + }, + { + "epoch": 0.02, + "learning_rate": 5.833333333333334e-06, + "loss": 1.233, + "step": 35 + }, + { + "epoch": 0.02, + "learning_rate": 6e-06, + "loss": 1.2166, + "step": 36 + }, + { + "epoch": 0.02, + "learning_rate": 6.166666666666667e-06, + "loss": 1.2248, + "step": 37 + }, + { + "epoch": 0.02, + "learning_rate": 6.333333333333333e-06, + "loss": 1.2029, + "step": 38 + }, + { + "epoch": 0.02, + "learning_rate": 6.5000000000000004e-06, + "loss": 1.1829, + "step": 39 + }, + { + "epoch": 0.02, + "learning_rate": 6.666666666666667e-06, + "loss": 1.1727, + "step": 40 + }, + { + "epoch": 0.02, + "learning_rate": 6.833333333333334e-06, + "loss": 1.1787, + "step": 41 + }, + { + "epoch": 0.02, + "learning_rate": 7e-06, + "loss": 1.1532, + "step": 42 + }, + { + "epoch": 0.02, + "learning_rate": 7.166666666666667e-06, + "loss": 1.1585, + "step": 43 + }, + { + "epoch": 0.02, + "learning_rate": 7.333333333333333e-06, + "loss": 1.1418, + "step": 44 + }, + { + "epoch": 0.02, + "learning_rate": 7.500000000000001e-06, + "loss": 1.1418, + "step": 45 + }, + { + "epoch": 0.02, + "learning_rate": 7.666666666666667e-06, + "loss": 1.1256, + "step": 46 + }, + { + "epoch": 0.02, + "learning_rate": 7.833333333333333e-06, + "loss": 1.1125, + "step": 47 + }, + { + "epoch": 0.02, + "learning_rate": 8.000000000000001e-06, + "loss": 1.1149, + "step": 48 + }, + { + "epoch": 0.02, + "learning_rate": 8.166666666666668e-06, + "loss": 1.1131, + "step": 49 + }, + { + "epoch": 0.03, + "learning_rate": 8.333333333333334e-06, + "loss": 1.1002, + "step": 50 + }, + { + "epoch": 0.03, + "learning_rate": 8.5e-06, + "loss": 1.0852, + "step": 51 + }, + { + "epoch": 0.03, + "learning_rate": 8.666666666666668e-06, + "loss": 1.0897, + "step": 52 + }, + { + "epoch": 0.03, + "learning_rate": 8.833333333333334e-06, + "loss": 1.0695, + "step": 53 + }, + { + "epoch": 0.03, + "learning_rate": 9e-06, + "loss": 1.0799, + "step": 54 + }, + { + "epoch": 0.03, + "learning_rate": 9.166666666666666e-06, + "loss": 1.0798, + "step": 55 + }, + { + "epoch": 0.03, + "learning_rate": 9.333333333333334e-06, + "loss": 1.0747, + "step": 56 + }, + { + "epoch": 0.03, + "learning_rate": 9.5e-06, + "loss": 1.0633, + "step": 57 + }, + { + "epoch": 0.03, + "learning_rate": 9.666666666666667e-06, + "loss": 1.0686, + "step": 58 + }, + { + "epoch": 0.03, + "learning_rate": 9.833333333333333e-06, + "loss": 1.0641, + "step": 59 + }, + { + "epoch": 0.03, + "learning_rate": 1e-05, + "loss": 1.0493, + "step": 60 + }, + { + "epoch": 0.03, + "learning_rate": 9.999993444041447e-06, + "loss": 1.0418, + "step": 61 + }, + { + "epoch": 0.03, + "learning_rate": 9.99997377618298e-06, + "loss": 1.0428, + "step": 62 + }, + { + "epoch": 0.03, + "learning_rate": 9.999940996476176e-06, + "loss": 1.0294, + "step": 63 + }, + { + "epoch": 0.03, + "learning_rate": 9.999895105006995e-06, + "loss": 1.0282, + "step": 64 + }, + { + "epoch": 0.03, + "learning_rate": 9.999836101895782e-06, + "loss": 1.0151, + "step": 65 + }, + { + "epoch": 0.03, + "learning_rate": 9.999763987297266e-06, + "loss": 1.0235, + "step": 66 + }, + { + "epoch": 0.03, + "learning_rate": 9.999678761400562e-06, + "loss": 1.0185, + "step": 67 + }, + { + "epoch": 0.03, + "learning_rate": 9.99958042442916e-06, + "loss": 1.0082, + "step": 68 + }, + { + "epoch": 0.03, + "learning_rate": 9.99946897664094e-06, + "loss": 1.0007, + "step": 69 + }, + { + "epoch": 0.04, + "learning_rate": 9.999344418328161e-06, + "loss": 0.9926, + "step": 70 + }, + { + "epoch": 0.04, + "learning_rate": 9.999206749817464e-06, + "loss": 0.984, + "step": 71 + }, + { + "epoch": 0.04, + "learning_rate": 9.999055971469864e-06, + "loss": 0.9843, + "step": 72 + }, + { + "epoch": 0.04, + "learning_rate": 9.998892083680763e-06, + "loss": 0.9904, + "step": 73 + }, + { + "epoch": 0.04, + "learning_rate": 9.998715086879938e-06, + "loss": 1.0037, + "step": 74 + }, + { + "epoch": 0.04, + "learning_rate": 9.99852498153154e-06, + "loss": 0.9654, + "step": 75 + }, + { + "epoch": 0.04, + "learning_rate": 9.998321768134101e-06, + "loss": 0.9702, + "step": 76 + }, + { + "epoch": 0.04, + "learning_rate": 9.998105447220523e-06, + "loss": 0.9762, + "step": 77 + }, + { + "epoch": 0.04, + "learning_rate": 9.997876019358083e-06, + "loss": 0.9678, + "step": 78 + }, + { + "epoch": 0.04, + "learning_rate": 9.997633485148428e-06, + "loss": 0.966, + "step": 79 + }, + { + "epoch": 0.04, + "learning_rate": 9.997377845227577e-06, + "loss": 0.9567, + "step": 80 + }, + { + "epoch": 0.04, + "learning_rate": 9.997109100265912e-06, + "loss": 0.9671, + "step": 81 + }, + { + "epoch": 0.04, + "learning_rate": 9.99682725096819e-06, + "loss": 0.9652, + "step": 82 + }, + { + "epoch": 0.04, + "learning_rate": 9.996532298073526e-06, + "loss": 0.9552, + "step": 83 + }, + { + "epoch": 0.04, + "learning_rate": 9.9962242423554e-06, + "loss": 0.9444, + "step": 84 + }, + { + "epoch": 0.04, + "learning_rate": 9.995903084621651e-06, + "loss": 0.9568, + "step": 85 + }, + { + "epoch": 0.04, + "learning_rate": 9.995568825714479e-06, + "loss": 0.9501, + "step": 86 + }, + { + "epoch": 0.04, + "learning_rate": 9.99522146651044e-06, + "loss": 0.9551, + "step": 87 + }, + { + "epoch": 0.04, + "learning_rate": 9.99486100792044e-06, + "loss": 0.9428, + "step": 88 + }, + { + "epoch": 0.04, + "learning_rate": 9.994487450889741e-06, + "loss": 0.9373, + "step": 89 + }, + { + "epoch": 0.04, + "learning_rate": 9.994100796397954e-06, + "loss": 0.941, + "step": 90 + }, + { + "epoch": 0.05, + "learning_rate": 9.993701045459035e-06, + "loss": 0.9331, + "step": 91 + }, + { + "epoch": 0.05, + "learning_rate": 9.993288199121283e-06, + "loss": 0.9457, + "step": 92 + }, + { + "epoch": 0.05, + "learning_rate": 9.99286225846734e-06, + "loss": 0.9401, + "step": 93 + }, + { + "epoch": 0.05, + "learning_rate": 9.992423224614185e-06, + "loss": 0.9465, + "step": 94 + }, + { + "epoch": 0.05, + "learning_rate": 9.991971098713136e-06, + "loss": 0.9498, + "step": 95 + }, + { + "epoch": 0.05, + "learning_rate": 9.991505881949837e-06, + "loss": 0.9355, + "step": 96 + }, + { + "epoch": 0.05, + "learning_rate": 9.991027575544265e-06, + "loss": 0.939, + "step": 97 + }, + { + "epoch": 0.05, + "learning_rate": 9.990536180750724e-06, + "loss": 0.927, + "step": 98 + }, + { + "epoch": 0.05, + "learning_rate": 9.990031698857842e-06, + "loss": 0.9289, + "step": 99 + }, + { + "epoch": 0.05, + "learning_rate": 9.98951413118856e-06, + "loss": 0.9306, + "step": 100 + }, + { + "epoch": 0.05, + "learning_rate": 9.988983479100138e-06, + "loss": 0.9342, + "step": 101 + }, + { + "epoch": 0.05, + "learning_rate": 9.988439743984155e-06, + "loss": 0.9321, + "step": 102 + }, + { + "epoch": 0.05, + "learning_rate": 9.987882927266487e-06, + "loss": 0.9387, + "step": 103 + }, + { + "epoch": 0.05, + "learning_rate": 9.987313030407325e-06, + "loss": 0.9247, + "step": 104 + }, + { + "epoch": 0.05, + "learning_rate": 9.986730054901153e-06, + "loss": 0.9367, + "step": 105 + }, + { + "epoch": 0.05, + "learning_rate": 9.98613400227676e-06, + "loss": 0.9343, + "step": 106 + }, + { + "epoch": 0.05, + "learning_rate": 9.985524874097224e-06, + "loss": 0.9211, + "step": 107 + }, + { + "epoch": 0.05, + "learning_rate": 9.984902671959911e-06, + "loss": 0.934, + "step": 108 + }, + { + "epoch": 0.05, + "learning_rate": 9.984267397496474e-06, + "loss": 0.9265, + "step": 109 + }, + { + "epoch": 0.06, + "learning_rate": 9.983619052372847e-06, + "loss": 0.9344, + "step": 110 + }, + { + "epoch": 0.06, + "learning_rate": 9.98295763828924e-06, + "loss": 0.9178, + "step": 111 + }, + { + "epoch": 0.06, + "learning_rate": 9.982283156980133e-06, + "loss": 0.9398, + "step": 112 + }, + { + "epoch": 0.06, + "learning_rate": 9.981595610214276e-06, + "loss": 0.9275, + "step": 113 + }, + { + "epoch": 0.06, + "learning_rate": 9.980894999794678e-06, + "loss": 0.9322, + "step": 114 + }, + { + "epoch": 0.06, + "learning_rate": 9.98018132755861e-06, + "loss": 0.9153, + "step": 115 + }, + { + "epoch": 0.06, + "learning_rate": 9.979454595377594e-06, + "loss": 0.9352, + "step": 116 + }, + { + "epoch": 0.06, + "learning_rate": 9.978714805157398e-06, + "loss": 0.9195, + "step": 117 + }, + { + "epoch": 0.06, + "learning_rate": 9.97796195883804e-06, + "loss": 0.9197, + "step": 118 + }, + { + "epoch": 0.06, + "learning_rate": 9.97719605839377e-06, + "loss": 0.9209, + "step": 119 + }, + { + "epoch": 0.06, + "learning_rate": 9.97641710583307e-06, + "loss": 0.9083, + "step": 120 + }, + { + "epoch": 0.06, + "learning_rate": 9.975625103198655e-06, + "loss": 0.9147, + "step": 121 + }, + { + "epoch": 0.06, + "learning_rate": 9.97482005256746e-06, + "loss": 0.9106, + "step": 122 + }, + { + "epoch": 0.06, + "learning_rate": 9.974001956050637e-06, + "loss": 0.9069, + "step": 123 + }, + { + "epoch": 0.06, + "learning_rate": 9.973170815793543e-06, + "loss": 0.9144, + "step": 124 + }, + { + "epoch": 0.06, + "learning_rate": 9.972326633975754e-06, + "loss": 0.9123, + "step": 125 + }, + { + "epoch": 0.06, + "learning_rate": 9.971469412811032e-06, + "loss": 0.9249, + "step": 126 + }, + { + "epoch": 0.06, + "learning_rate": 9.970599154547344e-06, + "loss": 0.915, + "step": 127 + }, + { + "epoch": 0.06, + "learning_rate": 9.969715861466839e-06, + "loss": 0.9113, + "step": 128 + }, + { + "epoch": 0.06, + "learning_rate": 9.968819535885852e-06, + "loss": 0.9144, + "step": 129 + }, + { + "epoch": 0.07, + "learning_rate": 9.96791018015489e-06, + "loss": 0.9105, + "step": 130 + }, + { + "epoch": 0.07, + "learning_rate": 9.966987796658631e-06, + "loss": 0.9102, + "step": 131 + }, + { + "epoch": 0.07, + "learning_rate": 9.966052387815923e-06, + "loss": 0.9188, + "step": 132 + }, + { + "epoch": 0.07, + "learning_rate": 9.965103956079764e-06, + "loss": 0.9123, + "step": 133 + }, + { + "epoch": 0.07, + "learning_rate": 9.964142503937305e-06, + "loss": 0.9217, + "step": 134 + }, + { + "epoch": 0.07, + "learning_rate": 9.963168033909843e-06, + "loss": 0.9212, + "step": 135 + }, + { + "epoch": 0.07, + "learning_rate": 9.962180548552812e-06, + "loss": 0.9254, + "step": 136 + }, + { + "epoch": 0.07, + "learning_rate": 9.961180050455776e-06, + "loss": 0.9122, + "step": 137 + }, + { + "epoch": 0.07, + "learning_rate": 9.96016654224243e-06, + "loss": 0.8962, + "step": 138 + }, + { + "epoch": 0.07, + "learning_rate": 9.959140026570572e-06, + "loss": 0.8944, + "step": 139 + }, + { + "epoch": 0.07, + "learning_rate": 9.958100506132127e-06, + "loss": 0.908, + "step": 140 + }, + { + "epoch": 0.07, + "learning_rate": 9.957047983653112e-06, + "loss": 0.9097, + "step": 141 + }, + { + "epoch": 0.07, + "learning_rate": 9.955982461893648e-06, + "loss": 0.9033, + "step": 142 + }, + { + "epoch": 0.07, + "learning_rate": 9.95490394364794e-06, + "loss": 0.8995, + "step": 143 + }, + { + "epoch": 0.07, + "learning_rate": 9.953812431744274e-06, + "loss": 0.9104, + "step": 144 + }, + { + "epoch": 0.07, + "learning_rate": 9.952707929045018e-06, + "loss": 0.8972, + "step": 145 + }, + { + "epoch": 0.07, + "learning_rate": 9.951590438446597e-06, + "loss": 0.8971, + "step": 146 + }, + { + "epoch": 0.07, + "learning_rate": 9.9504599628795e-06, + "loss": 0.8972, + "step": 147 + }, + { + "epoch": 0.07, + "learning_rate": 9.94931650530827e-06, + "loss": 0.9078, + "step": 148 + }, + { + "epoch": 0.07, + "learning_rate": 9.948160068731492e-06, + "loss": 0.9046, + "step": 149 + }, + { + "epoch": 0.07, + "learning_rate": 9.946990656181782e-06, + "loss": 0.8947, + "step": 150 + }, + { + "epoch": 0.08, + "learning_rate": 9.94580827072579e-06, + "loss": 0.9121, + "step": 151 + }, + { + "epoch": 0.08, + "learning_rate": 9.944612915464183e-06, + "loss": 0.8971, + "step": 152 + }, + { + "epoch": 0.08, + "learning_rate": 9.943404593531642e-06, + "loss": 0.9002, + "step": 153 + }, + { + "epoch": 0.08, + "learning_rate": 9.942183308096853e-06, + "loss": 0.8943, + "step": 154 + }, + { + "epoch": 0.08, + "learning_rate": 9.94094906236249e-06, + "loss": 0.8993, + "step": 155 + }, + { + "epoch": 0.08, + "learning_rate": 9.93970185956522e-06, + "loss": 0.9009, + "step": 156 + }, + { + "epoch": 0.08, + "learning_rate": 9.938441702975689e-06, + "loss": 0.9022, + "step": 157 + }, + { + "epoch": 0.08, + "learning_rate": 9.93716859589851e-06, + "loss": 0.9065, + "step": 158 + }, + { + "epoch": 0.08, + "learning_rate": 9.935882541672255e-06, + "loss": 0.8966, + "step": 159 + }, + { + "epoch": 0.08, + "learning_rate": 9.934583543669454e-06, + "loss": 0.905, + "step": 160 + }, + { + "epoch": 0.08, + "learning_rate": 9.933271605296577e-06, + "loss": 0.9035, + "step": 161 + }, + { + "epoch": 0.08, + "learning_rate": 9.93194672999403e-06, + "loss": 0.8935, + "step": 162 + }, + { + "epoch": 0.08, + "learning_rate": 9.930608921236145e-06, + "loss": 0.8892, + "step": 163 + }, + { + "epoch": 0.08, + "learning_rate": 9.929258182531167e-06, + "loss": 0.9106, + "step": 164 + }, + { + "epoch": 0.08, + "learning_rate": 9.927894517421252e-06, + "loss": 0.9023, + "step": 165 + }, + { + "epoch": 0.08, + "learning_rate": 9.926517929482454e-06, + "loss": 0.8816, + "step": 166 + }, + { + "epoch": 0.08, + "learning_rate": 9.925128422324711e-06, + "loss": 0.8934, + "step": 167 + }, + { + "epoch": 0.08, + "learning_rate": 9.923725999591846e-06, + "loss": 0.8883, + "step": 168 + }, + { + "epoch": 0.08, + "learning_rate": 9.92231066496155e-06, + "loss": 0.8905, + "step": 169 + }, + { + "epoch": 0.09, + "learning_rate": 9.920882422145372e-06, + "loss": 0.8933, + "step": 170 + }, + { + "epoch": 0.09, + "learning_rate": 9.919441274888713e-06, + "loss": 0.9009, + "step": 171 + }, + { + "epoch": 0.09, + "learning_rate": 9.917987226970811e-06, + "loss": 0.8864, + "step": 172 + }, + { + "epoch": 0.09, + "learning_rate": 9.91652028220474e-06, + "loss": 0.8899, + "step": 173 + }, + { + "epoch": 0.09, + "learning_rate": 9.91504044443739e-06, + "loss": 0.8922, + "step": 174 + }, + { + "epoch": 0.09, + "learning_rate": 9.913547717549463e-06, + "loss": 0.885, + "step": 175 + }, + { + "epoch": 0.09, + "learning_rate": 9.912042105455462e-06, + "loss": 0.8833, + "step": 176 + }, + { + "epoch": 0.09, + "learning_rate": 9.910523612103681e-06, + "loss": 0.8799, + "step": 177 + }, + { + "epoch": 0.09, + "learning_rate": 9.908992241476189e-06, + "loss": 0.8855, + "step": 178 + }, + { + "epoch": 0.09, + "learning_rate": 9.907447997588827e-06, + "loss": 0.8794, + "step": 179 + }, + { + "epoch": 0.09, + "learning_rate": 9.905890884491196e-06, + "loss": 0.8879, + "step": 180 + }, + { + "epoch": 0.09, + "learning_rate": 9.904320906266643e-06, + "loss": 0.883, + "step": 181 + }, + { + "epoch": 0.09, + "learning_rate": 9.902738067032254e-06, + "loss": 0.8945, + "step": 182 + }, + { + "epoch": 0.09, + "learning_rate": 9.901142370938837e-06, + "loss": 0.9047, + "step": 183 + }, + { + "epoch": 0.09, + "learning_rate": 9.899533822170922e-06, + "loss": 0.8883, + "step": 184 + }, + { + "epoch": 0.09, + "learning_rate": 9.897912424946741e-06, + "loss": 0.8833, + "step": 185 + }, + { + "epoch": 0.09, + "learning_rate": 9.896278183518216e-06, + "loss": 0.8813, + "step": 186 + }, + { + "epoch": 0.09, + "learning_rate": 9.894631102170959e-06, + "loss": 0.8897, + "step": 187 + }, + { + "epoch": 0.09, + "learning_rate": 9.892971185224244e-06, + "loss": 0.876, + "step": 188 + }, + { + "epoch": 0.09, + "learning_rate": 9.891298437031014e-06, + "loss": 0.8853, + "step": 189 + }, + { + "epoch": 0.1, + "learning_rate": 9.889612861977855e-06, + "loss": 0.901, + "step": 190 + }, + { + "epoch": 0.1, + "learning_rate": 9.887914464484988e-06, + "loss": 0.8839, + "step": 191 + }, + { + "epoch": 0.1, + "learning_rate": 9.886203249006265e-06, + "loss": 0.8868, + "step": 192 + }, + { + "epoch": 0.1, + "learning_rate": 9.88447922002915e-06, + "loss": 0.8829, + "step": 193 + }, + { + "epoch": 0.1, + "learning_rate": 9.882742382074707e-06, + "loss": 0.8673, + "step": 194 + }, + { + "epoch": 0.1, + "learning_rate": 9.88099273969759e-06, + "loss": 0.8664, + "step": 195 + }, + { + "epoch": 0.1, + "learning_rate": 9.879230297486034e-06, + "loss": 0.8856, + "step": 196 + }, + { + "epoch": 0.1, + "learning_rate": 9.877455060061838e-06, + "loss": 0.8779, + "step": 197 + }, + { + "epoch": 0.1, + "learning_rate": 9.875667032080354e-06, + "loss": 0.8784, + "step": 198 + }, + { + "epoch": 0.1, + "learning_rate": 9.873866218230477e-06, + "loss": 0.8854, + "step": 199 + }, + { + "epoch": 0.1, + "learning_rate": 9.872052623234632e-06, + "loss": 0.867, + "step": 200 + }, + { + "epoch": 0.1, + "learning_rate": 9.870226251848759e-06, + "loss": 0.8741, + "step": 201 + }, + { + "epoch": 0.1, + "learning_rate": 9.868387108862307e-06, + "loss": 0.8843, + "step": 202 + }, + { + "epoch": 0.1, + "learning_rate": 9.866535199098212e-06, + "loss": 0.8897, + "step": 203 + }, + { + "epoch": 0.1, + "learning_rate": 9.864670527412891e-06, + "loss": 0.8847, + "step": 204 + }, + { + "epoch": 0.1, + "learning_rate": 9.86279309869623e-06, + "loss": 0.8694, + "step": 205 + }, + { + "epoch": 0.1, + "learning_rate": 9.860902917871566e-06, + "loss": 0.879, + "step": 206 + }, + { + "epoch": 0.1, + "learning_rate": 9.858999989895678e-06, + "loss": 0.8607, + "step": 207 + }, + { + "epoch": 0.1, + "learning_rate": 9.857084319758772e-06, + "loss": 0.8782, + "step": 208 + }, + { + "epoch": 0.1, + "learning_rate": 9.855155912484471e-06, + "loss": 0.8766, + "step": 209 + }, + { + "epoch": 0.1, + "learning_rate": 9.853214773129796e-06, + "loss": 0.8779, + "step": 210 + }, + { + "epoch": 0.11, + "learning_rate": 9.851260906785161e-06, + "loss": 0.8795, + "step": 211 + }, + { + "epoch": 0.11, + "learning_rate": 9.849294318574353e-06, + "loss": 0.876, + "step": 212 + }, + { + "epoch": 0.11, + "learning_rate": 9.847315013654517e-06, + "loss": 0.8622, + "step": 213 + }, + { + "epoch": 0.11, + "learning_rate": 9.845322997216153e-06, + "loss": 0.88, + "step": 214 + }, + { + "epoch": 0.11, + "learning_rate": 9.843318274483089e-06, + "loss": 0.8711, + "step": 215 + }, + { + "epoch": 0.11, + "learning_rate": 9.841300850712479e-06, + "loss": 0.8745, + "step": 216 + }, + { + "epoch": 0.11, + "learning_rate": 9.839270731194782e-06, + "loss": 0.8768, + "step": 217 + }, + { + "epoch": 0.11, + "learning_rate": 9.837227921253747e-06, + "loss": 0.8743, + "step": 218 + }, + { + "epoch": 0.11, + "learning_rate": 9.835172426246407e-06, + "loss": 0.8828, + "step": 219 + }, + { + "epoch": 0.11, + "learning_rate": 9.833104251563058e-06, + "loss": 0.8687, + "step": 220 + }, + { + "epoch": 0.11, + "learning_rate": 9.831023402627244e-06, + "loss": 0.8678, + "step": 221 + }, + { + "epoch": 0.11, + "learning_rate": 9.828929884895753e-06, + "loss": 0.8812, + "step": 222 + }, + { + "epoch": 0.11, + "learning_rate": 9.82682370385859e-06, + "loss": 0.8677, + "step": 223 + }, + { + "epoch": 0.11, + "learning_rate": 9.824704865038967e-06, + "loss": 0.8812, + "step": 224 + }, + { + "epoch": 0.11, + "learning_rate": 9.822573373993296e-06, + "loss": 0.8689, + "step": 225 + }, + { + "epoch": 0.11, + "learning_rate": 9.820429236311158e-06, + "loss": 0.8699, + "step": 226 + }, + { + "epoch": 0.11, + "learning_rate": 9.81827245761531e-06, + "loss": 0.8819, + "step": 227 + }, + { + "epoch": 0.11, + "learning_rate": 9.816103043561648e-06, + "loss": 0.8817, + "step": 228 + }, + { + "epoch": 0.11, + "learning_rate": 9.813920999839211e-06, + "loss": 0.8728, + "step": 229 + }, + { + "epoch": 0.12, + "learning_rate": 9.811726332170153e-06, + "loss": 0.8669, + "step": 230 + }, + { + "epoch": 0.12, + "learning_rate": 9.809519046309733e-06, + "loss": 0.8767, + "step": 231 + }, + { + "epoch": 0.12, + "learning_rate": 9.807299148046301e-06, + "loss": 0.8739, + "step": 232 + }, + { + "epoch": 0.12, + "learning_rate": 9.805066643201283e-06, + "loss": 0.8788, + "step": 233 + }, + { + "epoch": 0.12, + "learning_rate": 9.802821537629162e-06, + "loss": 0.8737, + "step": 234 + }, + { + "epoch": 0.12, + "learning_rate": 9.800563837217465e-06, + "loss": 0.8648, + "step": 235 + }, + { + "epoch": 0.12, + "learning_rate": 9.798293547886748e-06, + "loss": 0.8607, + "step": 236 + }, + { + "epoch": 0.12, + "learning_rate": 9.796010675590582e-06, + "loss": 0.8603, + "step": 237 + }, + { + "epoch": 0.12, + "learning_rate": 9.79371522631553e-06, + "loss": 0.8558, + "step": 238 + }, + { + "epoch": 0.12, + "learning_rate": 9.791407206081144e-06, + "loss": 0.8662, + "step": 239 + }, + { + "epoch": 0.12, + "learning_rate": 9.789086620939936e-06, + "loss": 0.8548, + "step": 240 + }, + { + "epoch": 0.12, + "learning_rate": 9.78675347697737e-06, + "loss": 0.8627, + "step": 241 + }, + { + "epoch": 0.12, + "learning_rate": 9.784407780311845e-06, + "loss": 0.8627, + "step": 242 + }, + { + "epoch": 0.12, + "learning_rate": 9.782049537094676e-06, + "loss": 0.8752, + "step": 243 + }, + { + "epoch": 0.12, + "learning_rate": 9.779678753510082e-06, + "loss": 0.8578, + "step": 244 + }, + { + "epoch": 0.12, + "learning_rate": 9.777295435775165e-06, + "loss": 0.851, + "step": 245 + }, + { + "epoch": 0.12, + "learning_rate": 9.774899590139897e-06, + "loss": 0.8561, + "step": 246 + }, + { + "epoch": 0.12, + "learning_rate": 9.772491222887108e-06, + "loss": 0.8551, + "step": 247 + }, + { + "epoch": 0.12, + "learning_rate": 9.770070340332457e-06, + "loss": 0.8582, + "step": 248 + }, + { + "epoch": 0.12, + "learning_rate": 9.767636948824428e-06, + "loss": 0.8644, + "step": 249 + }, + { + "epoch": 0.12, + "learning_rate": 9.765191054744305e-06, + "loss": 0.8748, + "step": 250 + }, + { + "epoch": 0.13, + "learning_rate": 9.762732664506161e-06, + "loss": 0.8676, + "step": 251 + }, + { + "epoch": 0.13, + "learning_rate": 9.76026178455684e-06, + "loss": 0.8745, + "step": 252 + }, + { + "epoch": 0.13, + "learning_rate": 9.757778421375931e-06, + "loss": 0.8712, + "step": 253 + }, + { + "epoch": 0.13, + "learning_rate": 9.755282581475769e-06, + "loss": 0.8756, + "step": 254 + }, + { + "epoch": 0.13, + "learning_rate": 9.752774271401403e-06, + "loss": 0.8694, + "step": 255 + }, + { + "epoch": 0.13, + "learning_rate": 9.75025349773058e-06, + "loss": 0.8409, + "step": 256 + }, + { + "epoch": 0.13, + "learning_rate": 9.74772026707374e-06, + "loss": 0.862, + "step": 257 + }, + { + "epoch": 0.13, + "learning_rate": 9.745174586073982e-06, + "loss": 0.8625, + "step": 258 + }, + { + "epoch": 0.13, + "learning_rate": 9.742616461407059e-06, + "loss": 0.86, + "step": 259 + }, + { + "epoch": 0.13, + "learning_rate": 9.740045899781353e-06, + "loss": 0.8584, + "step": 260 + }, + { + "epoch": 0.13, + "learning_rate": 9.737462907937864e-06, + "loss": 0.8663, + "step": 261 + }, + { + "epoch": 0.13, + "learning_rate": 9.734867492650187e-06, + "loss": 0.8564, + "step": 262 + }, + { + "epoch": 0.13, + "learning_rate": 9.732259660724494e-06, + "loss": 0.8579, + "step": 263 + }, + { + "epoch": 0.13, + "learning_rate": 9.729639418999524e-06, + "loss": 0.867, + "step": 264 + }, + { + "epoch": 0.13, + "learning_rate": 9.727006774346551e-06, + "loss": 0.8584, + "step": 265 + }, + { + "epoch": 0.13, + "learning_rate": 9.724361733669383e-06, + "loss": 0.8601, + "step": 266 + }, + { + "epoch": 0.13, + "learning_rate": 9.721704303904325e-06, + "loss": 0.8609, + "step": 267 + }, + { + "epoch": 0.13, + "learning_rate": 9.719034492020183e-06, + "loss": 0.8597, + "step": 268 + }, + { + "epoch": 0.13, + "learning_rate": 9.716352305018224e-06, + "loss": 0.8654, + "step": 269 + }, + { + "epoch": 0.14, + "learning_rate": 9.713657749932172e-06, + "loss": 0.8596, + "step": 270 + }, + { + "epoch": 0.14, + "learning_rate": 9.710950833828182e-06, + "loss": 0.8716, + "step": 271 + }, + { + "epoch": 0.14, + "learning_rate": 9.708231563804828e-06, + "loss": 0.8497, + "step": 272 + }, + { + "epoch": 0.14, + "learning_rate": 9.705499946993078e-06, + "loss": 0.8633, + "step": 273 + }, + { + "epoch": 0.14, + "learning_rate": 9.702755990556277e-06, + "loss": 0.876, + "step": 274 + }, + { + "epoch": 0.14, + "learning_rate": 9.699999701690133e-06, + "loss": 0.8614, + "step": 275 + }, + { + "epoch": 0.14, + "learning_rate": 9.697231087622691e-06, + "loss": 0.8611, + "step": 276 + }, + { + "epoch": 0.14, + "learning_rate": 9.694450155614318e-06, + "loss": 0.8597, + "step": 277 + }, + { + "epoch": 0.14, + "learning_rate": 9.691656912957686e-06, + "loss": 0.8523, + "step": 278 + }, + { + "epoch": 0.14, + "learning_rate": 9.688851366977747e-06, + "loss": 0.8591, + "step": 279 + }, + { + "epoch": 0.14, + "learning_rate": 9.68603352503172e-06, + "loss": 0.8516, + "step": 280 + }, + { + "epoch": 0.14, + "learning_rate": 9.683203394509064e-06, + "loss": 0.868, + "step": 281 + }, + { + "epoch": 0.14, + "learning_rate": 9.680360982831467e-06, + "loss": 0.8545, + "step": 282 + }, + { + "epoch": 0.14, + "learning_rate": 9.677506297452823e-06, + "loss": 0.8581, + "step": 283 + }, + { + "epoch": 0.14, + "learning_rate": 9.674639345859213e-06, + "loss": 0.8421, + "step": 284 + }, + { + "epoch": 0.14, + "learning_rate": 9.671760135568882e-06, + "loss": 0.8557, + "step": 285 + }, + { + "epoch": 0.14, + "learning_rate": 9.668868674132224e-06, + "loss": 0.8584, + "step": 286 + }, + { + "epoch": 0.14, + "learning_rate": 9.665964969131757e-06, + "loss": 0.8686, + "step": 287 + }, + { + "epoch": 0.14, + "learning_rate": 9.663049028182112e-06, + "loss": 0.8564, + "step": 288 + }, + { + "epoch": 0.14, + "learning_rate": 9.660120858930003e-06, + "loss": 0.8649, + "step": 289 + }, + { + "epoch": 0.14, + "learning_rate": 9.657180469054213e-06, + "loss": 0.8621, + "step": 290 + }, + { + "epoch": 0.15, + "learning_rate": 9.65422786626557e-06, + "loss": 0.8415, + "step": 291 + }, + { + "epoch": 0.15, + "learning_rate": 9.651263058306932e-06, + "loss": 0.8641, + "step": 292 + }, + { + "epoch": 0.15, + "learning_rate": 9.648286052953161e-06, + "loss": 0.8508, + "step": 293 + }, + { + "epoch": 0.15, + "learning_rate": 9.645296858011109e-06, + "loss": 0.843, + "step": 294 + }, + { + "epoch": 0.15, + "learning_rate": 9.64229548131959e-06, + "loss": 0.87, + "step": 295 + }, + { + "epoch": 0.15, + "learning_rate": 9.639281930749363e-06, + "loss": 0.8579, + "step": 296 + }, + { + "epoch": 0.15, + "learning_rate": 9.636256214203115e-06, + "loss": 0.8479, + "step": 297 + }, + { + "epoch": 0.15, + "learning_rate": 9.633218339615433e-06, + "loss": 0.851, + "step": 298 + }, + { + "epoch": 0.15, + "learning_rate": 9.63016831495279e-06, + "loss": 0.8631, + "step": 299 + }, + { + "epoch": 0.15, + "learning_rate": 9.627106148213521e-06, + "loss": 0.8479, + "step": 300 + }, + { + "epoch": 0.15, + "learning_rate": 9.624031847427801e-06, + "loss": 0.858, + "step": 301 + }, + { + "epoch": 0.15, + "learning_rate": 9.620945420657625e-06, + "loss": 0.8503, + "step": 302 + }, + { + "epoch": 0.15, + "learning_rate": 9.617846875996785e-06, + "loss": 0.8606, + "step": 303 + }, + { + "epoch": 0.15, + "learning_rate": 9.61473622157086e-06, + "loss": 0.8515, + "step": 304 + }, + { + "epoch": 0.15, + "learning_rate": 9.61161346553717e-06, + "loss": 0.8512, + "step": 305 + }, + { + "epoch": 0.15, + "learning_rate": 9.608478616084784e-06, + "loss": 0.8455, + "step": 306 + }, + { + "epoch": 0.15, + "learning_rate": 9.605331681434478e-06, + "loss": 0.8509, + "step": 307 + }, + { + "epoch": 0.15, + "learning_rate": 9.602172669838721e-06, + "loss": 0.8527, + "step": 308 + }, + { + "epoch": 0.15, + "learning_rate": 9.599001589581654e-06, + "loss": 0.851, + "step": 309 + }, + { + "epoch": 0.15, + "learning_rate": 9.595818448979061e-06, + "loss": 0.846, + "step": 310 + }, + { + "epoch": 0.16, + "learning_rate": 9.592623256378364e-06, + "loss": 0.8567, + "step": 311 + }, + { + "epoch": 0.16, + "learning_rate": 9.589416020158577e-06, + "loss": 0.8448, + "step": 312 + }, + { + "epoch": 0.16, + "learning_rate": 9.586196748730305e-06, + "loss": 0.8355, + "step": 313 + }, + { + "epoch": 0.16, + "learning_rate": 9.582965450535716e-06, + "loss": 0.8503, + "step": 314 + }, + { + "epoch": 0.16, + "learning_rate": 9.579722134048506e-06, + "loss": 0.8477, + "step": 315 + }, + { + "epoch": 0.16, + "learning_rate": 9.5764668077739e-06, + "loss": 0.8355, + "step": 316 + }, + { + "epoch": 0.16, + "learning_rate": 9.573199480248607e-06, + "loss": 0.8441, + "step": 317 + }, + { + "epoch": 0.16, + "learning_rate": 9.569920160040815e-06, + "loss": 0.8411, + "step": 318 + }, + { + "epoch": 0.16, + "learning_rate": 9.566628855750159e-06, + "loss": 0.8501, + "step": 319 + }, + { + "epoch": 0.16, + "learning_rate": 9.563325576007702e-06, + "loss": 0.8509, + "step": 320 + }, + { + "epoch": 0.16, + "learning_rate": 9.560010329475907e-06, + "loss": 0.8432, + "step": 321 + }, + { + "epoch": 0.16, + "learning_rate": 9.556683124848624e-06, + "loss": 0.8429, + "step": 322 + }, + { + "epoch": 0.16, + "learning_rate": 9.55334397085106e-06, + "loss": 0.8501, + "step": 323 + }, + { + "epoch": 0.16, + "learning_rate": 9.549992876239753e-06, + "loss": 0.8449, + "step": 324 + }, + { + "epoch": 0.16, + "learning_rate": 9.546629849802562e-06, + "loss": 0.8502, + "step": 325 + }, + { + "epoch": 0.16, + "learning_rate": 9.54325490035863e-06, + "loss": 0.8548, + "step": 326 + }, + { + "epoch": 0.16, + "learning_rate": 9.539868036758368e-06, + "loss": 0.8563, + "step": 327 + }, + { + "epoch": 0.16, + "learning_rate": 9.536469267883432e-06, + "loss": 0.8571, + "step": 328 + }, + { + "epoch": 0.16, + "learning_rate": 9.533058602646697e-06, + "loss": 0.8358, + "step": 329 + }, + { + "epoch": 0.17, + "learning_rate": 9.529636049992235e-06, + "loss": 0.8501, + "step": 330 + }, + { + "epoch": 0.17, + "learning_rate": 9.52620161889529e-06, + "loss": 0.8445, + "step": 331 + }, + { + "epoch": 0.17, + "learning_rate": 9.52275531836226e-06, + "loss": 0.8362, + "step": 332 + }, + { + "epoch": 0.17, + "learning_rate": 9.519297157430664e-06, + "loss": 0.8482, + "step": 333 + }, + { + "epoch": 0.17, + "learning_rate": 9.515827145169128e-06, + "loss": 0.8529, + "step": 334 + }, + { + "epoch": 0.17, + "learning_rate": 9.51234529067735e-06, + "loss": 0.8363, + "step": 335 + }, + { + "epoch": 0.17, + "learning_rate": 9.508851603086094e-06, + "loss": 0.8338, + "step": 336 + }, + { + "epoch": 0.17, + "learning_rate": 9.505346091557143e-06, + "loss": 0.8391, + "step": 337 + }, + { + "epoch": 0.17, + "learning_rate": 9.501828765283295e-06, + "loss": 0.8203, + "step": 338 + }, + { + "epoch": 0.17, + "learning_rate": 9.498299633488329e-06, + "loss": 0.8498, + "step": 339 + }, + { + "epoch": 0.17, + "learning_rate": 9.494758705426978e-06, + "loss": 0.8525, + "step": 340 + }, + { + "epoch": 0.17, + "learning_rate": 9.491205990384915e-06, + "loss": 0.8402, + "step": 341 + }, + { + "epoch": 0.17, + "learning_rate": 9.487641497678724e-06, + "loss": 0.8412, + "step": 342 + }, + { + "epoch": 0.17, + "learning_rate": 9.484065236655866e-06, + "loss": 0.8445, + "step": 343 + }, + { + "epoch": 0.17, + "learning_rate": 9.480477216694674e-06, + "loss": 0.8439, + "step": 344 + }, + { + "epoch": 0.17, + "learning_rate": 9.476877447204308e-06, + "loss": 0.8345, + "step": 345 + }, + { + "epoch": 0.17, + "learning_rate": 9.473265937624748e-06, + "loss": 0.8438, + "step": 346 + }, + { + "epoch": 0.17, + "learning_rate": 9.46964269742675e-06, + "loss": 0.8547, + "step": 347 + }, + { + "epoch": 0.17, + "learning_rate": 9.466007736111846e-06, + "loss": 0.8452, + "step": 348 + }, + { + "epoch": 0.17, + "learning_rate": 9.462361063212295e-06, + "loss": 0.8472, + "step": 349 + }, + { + "epoch": 0.17, + "learning_rate": 9.458702688291072e-06, + "loss": 0.8433, + "step": 350 + }, + { + "epoch": 0.18, + "learning_rate": 9.45503262094184e-06, + "loss": 0.8525, + "step": 351 + }, + { + "epoch": 0.18, + "learning_rate": 9.451350870788922e-06, + "loss": 0.8442, + "step": 352 + }, + { + "epoch": 0.18, + "learning_rate": 9.447657447487276e-06, + "loss": 0.8444, + "step": 353 + }, + { + "epoch": 0.18, + "learning_rate": 9.443952360722477e-06, + "loss": 0.8365, + "step": 354 + }, + { + "epoch": 0.18, + "learning_rate": 9.440235620210682e-06, + "loss": 0.8424, + "step": 355 + }, + { + "epoch": 0.18, + "learning_rate": 9.436507235698613e-06, + "loss": 0.8489, + "step": 356 + }, + { + "epoch": 0.18, + "learning_rate": 9.432767216963517e-06, + "loss": 0.8455, + "step": 357 + }, + { + "epoch": 0.18, + "learning_rate": 9.429015573813163e-06, + "loss": 0.8558, + "step": 358 + }, + { + "epoch": 0.18, + "learning_rate": 9.425252316085796e-06, + "loss": 0.8453, + "step": 359 + }, + { + "epoch": 0.18, + "learning_rate": 9.421477453650118e-06, + "loss": 0.8383, + "step": 360 + }, + { + "epoch": 0.18, + "learning_rate": 9.41769099640527e-06, + "loss": 0.8481, + "step": 361 + }, + { + "epoch": 0.18, + "learning_rate": 9.413892954280793e-06, + "loss": 0.8452, + "step": 362 + }, + { + "epoch": 0.18, + "learning_rate": 9.410083337236608e-06, + "loss": 0.8284, + "step": 363 + }, + { + "epoch": 0.18, + "learning_rate": 9.406262155262995e-06, + "loss": 0.8386, + "step": 364 + }, + { + "epoch": 0.18, + "learning_rate": 9.402429418380555e-06, + "loss": 0.8372, + "step": 365 + }, + { + "epoch": 0.18, + "learning_rate": 9.398585136640195e-06, + "loss": 0.8399, + "step": 366 + }, + { + "epoch": 0.18, + "learning_rate": 9.394729320123096e-06, + "loss": 0.8366, + "step": 367 + }, + { + "epoch": 0.18, + "learning_rate": 9.390861978940687e-06, + "loss": 0.8347, + "step": 368 + }, + { + "epoch": 0.18, + "learning_rate": 9.386983123234619e-06, + "loss": 0.8462, + "step": 369 + }, + { + "epoch": 0.18, + "learning_rate": 9.38309276317674e-06, + "loss": 0.8301, + "step": 370 + }, + { + "epoch": 0.19, + "learning_rate": 9.379190908969063e-06, + "loss": 0.8342, + "step": 371 + }, + { + "epoch": 0.19, + "learning_rate": 9.37527757084375e-06, + "loss": 0.8317, + "step": 372 + }, + { + "epoch": 0.19, + "learning_rate": 9.37135275906307e-06, + "loss": 0.8389, + "step": 373 + }, + { + "epoch": 0.19, + "learning_rate": 9.367416483919387e-06, + "loss": 0.8377, + "step": 374 + }, + { + "epoch": 0.19, + "learning_rate": 9.363468755735123e-06, + "loss": 0.8394, + "step": 375 + }, + { + "epoch": 0.19, + "learning_rate": 9.359509584862735e-06, + "loss": 0.839, + "step": 376 + }, + { + "epoch": 0.19, + "learning_rate": 9.355538981684688e-06, + "loss": 0.8372, + "step": 377 + }, + { + "epoch": 0.19, + "learning_rate": 9.351556956613423e-06, + "loss": 0.8437, + "step": 378 + }, + { + "epoch": 0.19, + "learning_rate": 9.347563520091339e-06, + "loss": 0.8348, + "step": 379 + }, + { + "epoch": 0.19, + "learning_rate": 9.343558682590757e-06, + "loss": 0.8472, + "step": 380 + }, + { + "epoch": 0.19, + "learning_rate": 9.339542454613895e-06, + "loss": 0.8233, + "step": 381 + }, + { + "epoch": 0.19, + "learning_rate": 9.335514846692846e-06, + "loss": 0.8381, + "step": 382 + }, + { + "epoch": 0.19, + "learning_rate": 9.331475869389539e-06, + "loss": 0.8411, + "step": 383 + }, + { + "epoch": 0.19, + "learning_rate": 9.327425533295725e-06, + "loss": 0.8354, + "step": 384 + }, + { + "epoch": 0.19, + "learning_rate": 9.323363849032933e-06, + "loss": 0.8366, + "step": 385 + }, + { + "epoch": 0.19, + "learning_rate": 9.31929082725246e-06, + "loss": 0.849, + "step": 386 + }, + { + "epoch": 0.19, + "learning_rate": 9.31520647863533e-06, + "loss": 0.8483, + "step": 387 + }, + { + "epoch": 0.19, + "learning_rate": 9.31111081389227e-06, + "loss": 0.8395, + "step": 388 + }, + { + "epoch": 0.19, + "learning_rate": 9.307003843763687e-06, + "loss": 0.8337, + "step": 389 + }, + { + "epoch": 0.2, + "learning_rate": 9.302885579019626e-06, + "loss": 0.8352, + "step": 390 + }, + { + "epoch": 0.2, + "learning_rate": 9.298756030459762e-06, + "loss": 0.8542, + "step": 391 + }, + { + "epoch": 0.2, + "learning_rate": 9.29461520891335e-06, + "loss": 0.8448, + "step": 392 + }, + { + "epoch": 0.2, + "learning_rate": 9.290463125239212e-06, + "loss": 0.8261, + "step": 393 + }, + { + "epoch": 0.2, + "learning_rate": 9.286299790325708e-06, + "loss": 0.8372, + "step": 394 + }, + { + "epoch": 0.2, + "learning_rate": 9.282125215090694e-06, + "loss": 0.8238, + "step": 395 + }, + { + "epoch": 0.2, + "learning_rate": 9.277939410481507e-06, + "loss": 0.8328, + "step": 396 + }, + { + "epoch": 0.2, + "learning_rate": 9.273742387474933e-06, + "loss": 0.8243, + "step": 397 + }, + { + "epoch": 0.2, + "learning_rate": 9.269534157077177e-06, + "loss": 0.832, + "step": 398 + }, + { + "epoch": 0.2, + "learning_rate": 9.265314730323829e-06, + "loss": 0.8434, + "step": 399 + }, + { + "epoch": 0.2, + "learning_rate": 9.261084118279846e-06, + "loss": 0.8209, + "step": 400 + }, + { + "epoch": 0.2, + "learning_rate": 9.256842332039516e-06, + "loss": 0.8427, + "step": 401 + }, + { + "epoch": 0.2, + "learning_rate": 9.252589382726426e-06, + "loss": 0.8452, + "step": 402 + }, + { + "epoch": 0.2, + "learning_rate": 9.248325281493444e-06, + "loss": 0.8184, + "step": 403 + }, + { + "epoch": 0.2, + "learning_rate": 9.244050039522673e-06, + "loss": 0.8384, + "step": 404 + }, + { + "epoch": 0.2, + "learning_rate": 9.23976366802544e-06, + "loss": 0.8282, + "step": 405 + }, + { + "epoch": 0.2, + "learning_rate": 9.235466178242255e-06, + "loss": 0.8382, + "step": 406 + }, + { + "epoch": 0.2, + "learning_rate": 9.231157581442781e-06, + "loss": 0.8307, + "step": 407 + }, + { + "epoch": 0.2, + "learning_rate": 9.226837888925813e-06, + "loss": 0.8301, + "step": 408 + }, + { + "epoch": 0.2, + "learning_rate": 9.222507112019243e-06, + "loss": 0.8342, + "step": 409 + }, + { + "epoch": 0.2, + "learning_rate": 9.218165262080024e-06, + "loss": 0.8264, + "step": 410 + }, + { + "epoch": 0.21, + "learning_rate": 9.213812350494154e-06, + "loss": 0.8432, + "step": 411 + }, + { + "epoch": 0.21, + "learning_rate": 9.209448388676636e-06, + "loss": 0.8252, + "step": 412 + }, + { + "epoch": 0.21, + "learning_rate": 9.20507338807145e-06, + "loss": 0.8435, + "step": 413 + }, + { + "epoch": 0.21, + "learning_rate": 9.200687360151527e-06, + "loss": 0.8294, + "step": 414 + }, + { + "epoch": 0.21, + "learning_rate": 9.196290316418712e-06, + "loss": 0.8278, + "step": 415 + }, + { + "epoch": 0.21, + "learning_rate": 9.191882268403743e-06, + "loss": 0.8134, + "step": 416 + }, + { + "epoch": 0.21, + "learning_rate": 9.187463227666205e-06, + "loss": 0.8245, + "step": 417 + }, + { + "epoch": 0.21, + "learning_rate": 9.183033205794525e-06, + "loss": 0.8378, + "step": 418 + }, + { + "epoch": 0.21, + "learning_rate": 9.178592214405915e-06, + "loss": 0.8381, + "step": 419 + }, + { + "epoch": 0.21, + "learning_rate": 9.174140265146356e-06, + "loss": 0.8459, + "step": 420 + }, + { + "epoch": 0.21, + "learning_rate": 9.169677369690569e-06, + "loss": 0.8304, + "step": 421 + }, + { + "epoch": 0.21, + "learning_rate": 9.165203539741976e-06, + "loss": 0.8292, + "step": 422 + }, + { + "epoch": 0.21, + "learning_rate": 9.160718787032673e-06, + "loss": 0.8273, + "step": 423 + }, + { + "epoch": 0.21, + "learning_rate": 9.156223123323405e-06, + "loss": 0.8453, + "step": 424 + }, + { + "epoch": 0.21, + "learning_rate": 9.151716560403521e-06, + "loss": 0.8373, + "step": 425 + }, + { + "epoch": 0.21, + "learning_rate": 9.14719911009096e-06, + "loss": 0.8323, + "step": 426 + }, + { + "epoch": 0.21, + "learning_rate": 9.142670784232208e-06, + "loss": 0.8303, + "step": 427 + }, + { + "epoch": 0.21, + "learning_rate": 9.13813159470227e-06, + "loss": 0.8238, + "step": 428 + }, + { + "epoch": 0.21, + "learning_rate": 9.133581553404644e-06, + "loss": 0.8234, + "step": 429 + }, + { + "epoch": 0.21, + "learning_rate": 9.129020672271283e-06, + "loss": 0.8263, + "step": 430 + }, + { + "epoch": 0.22, + "learning_rate": 9.124448963262564e-06, + "loss": 0.818, + "step": 431 + }, + { + "epoch": 0.22, + "learning_rate": 9.119866438367263e-06, + "loss": 0.8333, + "step": 432 + }, + { + "epoch": 0.22, + "learning_rate": 9.115273109602516e-06, + "loss": 0.8437, + "step": 433 + }, + { + "epoch": 0.22, + "learning_rate": 9.11066898901379e-06, + "loss": 0.8318, + "step": 434 + }, + { + "epoch": 0.22, + "learning_rate": 9.106054088674861e-06, + "loss": 0.837, + "step": 435 + }, + { + "epoch": 0.22, + "learning_rate": 9.101428420687759e-06, + "loss": 0.8285, + "step": 436 + }, + { + "epoch": 0.22, + "learning_rate": 9.096791997182766e-06, + "loss": 0.8318, + "step": 437 + }, + { + "epoch": 0.22, + "learning_rate": 9.092144830318357e-06, + "loss": 0.8341, + "step": 438 + }, + { + "epoch": 0.22, + "learning_rate": 9.08748693228119e-06, + "loss": 0.8329, + "step": 439 + }, + { + "epoch": 0.22, + "learning_rate": 9.082818315286054e-06, + "loss": 0.8332, + "step": 440 + }, + { + "epoch": 0.22, + "learning_rate": 9.07813899157586e-06, + "loss": 0.8409, + "step": 441 + }, + { + "epoch": 0.22, + "learning_rate": 9.073448973421581e-06, + "loss": 0.8408, + "step": 442 + }, + { + "epoch": 0.22, + "learning_rate": 9.06874827312225e-06, + "loss": 0.8351, + "step": 443 + }, + { + "epoch": 0.22, + "learning_rate": 9.0640369030049e-06, + "loss": 0.817, + "step": 444 + }, + { + "epoch": 0.22, + "learning_rate": 9.059314875424553e-06, + "loss": 0.8363, + "step": 445 + }, + { + "epoch": 0.22, + "learning_rate": 9.054582202764175e-06, + "loss": 0.8313, + "step": 446 + }, + { + "epoch": 0.22, + "learning_rate": 9.049838897434648e-06, + "loss": 0.8353, + "step": 447 + }, + { + "epoch": 0.22, + "learning_rate": 9.045084971874738e-06, + "loss": 0.8252, + "step": 448 + }, + { + "epoch": 0.22, + "learning_rate": 9.04032043855106e-06, + "loss": 0.8236, + "step": 449 + }, + { + "epoch": 0.23, + "learning_rate": 9.035545309958048e-06, + "loss": 0.828, + "step": 450 + }, + { + "epoch": 0.23, + "learning_rate": 9.030759598617918e-06, + "loss": 0.8328, + "step": 451 + }, + { + "epoch": 0.23, + "learning_rate": 9.025963317080641e-06, + "loss": 0.8357, + "step": 452 + }, + { + "epoch": 0.23, + "learning_rate": 9.02115647792391e-06, + "loss": 0.8334, + "step": 453 + }, + { + "epoch": 0.23, + "learning_rate": 9.016339093753093e-06, + "loss": 0.8406, + "step": 454 + }, + { + "epoch": 0.23, + "learning_rate": 9.011511177201226e-06, + "loss": 0.8306, + "step": 455 + }, + { + "epoch": 0.23, + "learning_rate": 9.006672740928952e-06, + "loss": 0.8288, + "step": 456 + }, + { + "epoch": 0.23, + "learning_rate": 9.001823797624508e-06, + "loss": 0.8467, + "step": 457 + }, + { + "epoch": 0.23, + "learning_rate": 8.99696436000368e-06, + "loss": 0.8177, + "step": 458 + }, + { + "epoch": 0.23, + "learning_rate": 8.992094440809781e-06, + "loss": 0.824, + "step": 459 + }, + { + "epoch": 0.23, + "learning_rate": 8.987214052813605e-06, + "loss": 0.8147, + "step": 460 + }, + { + "epoch": 0.23, + "learning_rate": 8.9823232088134e-06, + "loss": 0.8235, + "step": 461 + }, + { + "epoch": 0.23, + "learning_rate": 8.977421921634833e-06, + "loss": 0.8244, + "step": 462 + }, + { + "epoch": 0.23, + "learning_rate": 8.97251020413096e-06, + "loss": 0.829, + "step": 463 + }, + { + "epoch": 0.23, + "learning_rate": 8.967588069182184e-06, + "loss": 0.834, + "step": 464 + }, + { + "epoch": 0.23, + "learning_rate": 8.962655529696236e-06, + "loss": 0.8226, + "step": 465 + }, + { + "epoch": 0.23, + "learning_rate": 8.957712598608123e-06, + "loss": 0.8284, + "step": 466 + }, + { + "epoch": 0.23, + "learning_rate": 8.952759288880103e-06, + "loss": 0.819, + "step": 467 + }, + { + "epoch": 0.23, + "learning_rate": 8.947795613501658e-06, + "loss": 0.8338, + "step": 468 + }, + { + "epoch": 0.23, + "learning_rate": 8.942821585489445e-06, + "loss": 0.8314, + "step": 469 + }, + { + "epoch": 0.23, + "learning_rate": 8.937837217887273e-06, + "loss": 0.8247, + "step": 470 + }, + { + "epoch": 0.24, + "learning_rate": 8.932842523766066e-06, + "loss": 0.8284, + "step": 471 + }, + { + "epoch": 0.24, + "learning_rate": 8.927837516223824e-06, + "loss": 0.8235, + "step": 472 + }, + { + "epoch": 0.24, + "learning_rate": 8.9228222083856e-06, + "loss": 0.8333, + "step": 473 + }, + { + "epoch": 0.24, + "learning_rate": 8.917796613403451e-06, + "loss": 0.8307, + "step": 474 + }, + { + "epoch": 0.24, + "learning_rate": 8.912760744456416e-06, + "loss": 0.8249, + "step": 475 + }, + { + "epoch": 0.24, + "learning_rate": 8.907714614750473e-06, + "loss": 0.8304, + "step": 476 + }, + { + "epoch": 0.24, + "learning_rate": 8.902658237518508e-06, + "loss": 0.8158, + "step": 477 + }, + { + "epoch": 0.24, + "learning_rate": 8.897591626020284e-06, + "loss": 0.8324, + "step": 478 + }, + { + "epoch": 0.24, + "learning_rate": 8.892514793542396e-06, + "loss": 0.8169, + "step": 479 + }, + { + "epoch": 0.24, + "learning_rate": 8.887427753398249e-06, + "loss": 0.8193, + "step": 480 + }, + { + "epoch": 0.24, + "learning_rate": 8.882330518928006e-06, + "loss": 0.8223, + "step": 481 + }, + { + "epoch": 0.24, + "learning_rate": 8.877223103498576e-06, + "loss": 0.8302, + "step": 482 + }, + { + "epoch": 0.24, + "learning_rate": 8.87210552050356e-06, + "loss": 0.8278, + "step": 483 + }, + { + "epoch": 0.24, + "learning_rate": 8.866977783363219e-06, + "loss": 0.8275, + "step": 484 + }, + { + "epoch": 0.24, + "learning_rate": 8.861839905524452e-06, + "loss": 0.8334, + "step": 485 + }, + { + "epoch": 0.24, + "learning_rate": 8.85669190046074e-06, + "loss": 0.8354, + "step": 486 + }, + { + "epoch": 0.24, + "learning_rate": 8.851533781672126e-06, + "loss": 0.8188, + "step": 487 + }, + { + "epoch": 0.24, + "learning_rate": 8.846365562685178e-06, + "loss": 0.8344, + "step": 488 + }, + { + "epoch": 0.24, + "learning_rate": 8.841187257052945e-06, + "loss": 0.8335, + "step": 489 + }, + { + "epoch": 0.24, + "learning_rate": 8.83599887835493e-06, + "loss": 0.8304, + "step": 490 + }, + { + "epoch": 0.25, + "learning_rate": 8.830800440197056e-06, + "loss": 0.8276, + "step": 491 + }, + { + "epoch": 0.25, + "learning_rate": 8.825591956211614e-06, + "loss": 0.8249, + "step": 492 + }, + { + "epoch": 0.25, + "learning_rate": 8.820373440057252e-06, + "loss": 0.8272, + "step": 493 + }, + { + "epoch": 0.25, + "learning_rate": 8.815144905418918e-06, + "loss": 0.8334, + "step": 494 + }, + { + "epoch": 0.25, + "learning_rate": 8.809906366007832e-06, + "loss": 0.8337, + "step": 495 + }, + { + "epoch": 0.25, + "learning_rate": 8.804657835561456e-06, + "loss": 0.8246, + "step": 496 + }, + { + "epoch": 0.25, + "learning_rate": 8.79939932784345e-06, + "loss": 0.8273, + "step": 497 + }, + { + "epoch": 0.25, + "learning_rate": 8.794130856643635e-06, + "loss": 0.8283, + "step": 498 + }, + { + "epoch": 0.25, + "learning_rate": 8.788852435777962e-06, + "loss": 0.8273, + "step": 499 + }, + { + "epoch": 0.25, + "learning_rate": 8.783564079088478e-06, + "loss": 0.8262, + "step": 500 + }, + { + "epoch": 0.25, + "learning_rate": 8.778265800443277e-06, + "loss": 0.8288, + "step": 501 + }, + { + "epoch": 0.25, + "learning_rate": 8.772957613736483e-06, + "loss": 0.8148, + "step": 502 + }, + { + "epoch": 0.25, + "learning_rate": 8.76763953288819e-06, + "loss": 0.8302, + "step": 503 + }, + { + "epoch": 0.25, + "learning_rate": 8.762311571844453e-06, + "loss": 0.8407, + "step": 504 + }, + { + "epoch": 0.25, + "learning_rate": 8.756973744577221e-06, + "loss": 0.8348, + "step": 505 + }, + { + "epoch": 0.25, + "learning_rate": 8.751626065084328e-06, + "loss": 0.8247, + "step": 506 + }, + { + "epoch": 0.25, + "learning_rate": 8.74626854738944e-06, + "loss": 0.8035, + "step": 507 + }, + { + "epoch": 0.25, + "learning_rate": 8.74090120554202e-06, + "loss": 0.8266, + "step": 508 + }, + { + "epoch": 0.25, + "learning_rate": 8.7355240536173e-06, + "loss": 0.8215, + "step": 509 + }, + { + "epoch": 0.26, + "learning_rate": 8.730137105716231e-06, + "loss": 0.8099, + "step": 510 + }, + { + "epoch": 0.26, + "learning_rate": 8.724740375965458e-06, + "loss": 0.8095, + "step": 511 + }, + { + "epoch": 0.26, + "learning_rate": 8.719333878517274e-06, + "loss": 0.8232, + "step": 512 + }, + { + "epoch": 0.26, + "learning_rate": 8.713917627549587e-06, + "loss": 0.8075, + "step": 513 + }, + { + "epoch": 0.26, + "learning_rate": 8.708491637265888e-06, + "loss": 0.813, + "step": 514 + }, + { + "epoch": 0.26, + "learning_rate": 8.7030559218952e-06, + "loss": 0.823, + "step": 515 + }, + { + "epoch": 0.26, + "learning_rate": 8.697610495692055e-06, + "loss": 0.8292, + "step": 516 + }, + { + "epoch": 0.26, + "learning_rate": 8.692155372936448e-06, + "loss": 0.8294, + "step": 517 + }, + { + "epoch": 0.26, + "learning_rate": 8.686690567933803e-06, + "loss": 0.8236, + "step": 518 + }, + { + "epoch": 0.26, + "learning_rate": 8.681216095014931e-06, + "loss": 0.8191, + "step": 519 + }, + { + "epoch": 0.26, + "learning_rate": 8.675731968536004e-06, + "loss": 0.8139, + "step": 520 + }, + { + "epoch": 0.26, + "learning_rate": 8.6702382028785e-06, + "loss": 0.8147, + "step": 521 + }, + { + "epoch": 0.26, + "learning_rate": 8.66473481244918e-06, + "loss": 0.8085, + "step": 522 + }, + { + "epoch": 0.26, + "learning_rate": 8.659221811680046e-06, + "loss": 0.824, + "step": 523 + }, + { + "epoch": 0.26, + "learning_rate": 8.653699215028298e-06, + "loss": 0.8235, + "step": 524 + }, + { + "epoch": 0.26, + "learning_rate": 8.648167036976303e-06, + "loss": 0.8245, + "step": 525 + }, + { + "epoch": 0.26, + "learning_rate": 8.64262529203155e-06, + "loss": 0.823, + "step": 526 + }, + { + "epoch": 0.26, + "learning_rate": 8.637073994726623e-06, + "loss": 0.8183, + "step": 527 + }, + { + "epoch": 0.26, + "learning_rate": 8.63151315961915e-06, + "loss": 0.8111, + "step": 528 + }, + { + "epoch": 0.26, + "learning_rate": 8.625942801291774e-06, + "loss": 0.8175, + "step": 529 + }, + { + "epoch": 0.27, + "learning_rate": 8.620362934352109e-06, + "loss": 0.8213, + "step": 530 + }, + { + "epoch": 0.27, + "learning_rate": 8.614773573432705e-06, + "loss": 0.8089, + "step": 531 + }, + { + "epoch": 0.27, + "learning_rate": 8.609174733191012e-06, + "loss": 0.8231, + "step": 532 + }, + { + "epoch": 0.27, + "learning_rate": 8.603566428309334e-06, + "loss": 0.8217, + "step": 533 + }, + { + "epoch": 0.27, + "learning_rate": 8.597948673494794e-06, + "loss": 0.8147, + "step": 534 + }, + { + "epoch": 0.27, + "learning_rate": 8.592321483479305e-06, + "loss": 0.8223, + "step": 535 + }, + { + "epoch": 0.27, + "learning_rate": 8.586684873019513e-06, + "loss": 0.8131, + "step": 536 + }, + { + "epoch": 0.27, + "learning_rate": 8.581038856896773e-06, + "loss": 0.8274, + "step": 537 + }, + { + "epoch": 0.27, + "learning_rate": 8.575383449917103e-06, + "loss": 0.8223, + "step": 538 + }, + { + "epoch": 0.27, + "learning_rate": 8.569718666911152e-06, + "loss": 0.8151, + "step": 539 + }, + { + "epoch": 0.27, + "learning_rate": 8.564044522734147e-06, + "loss": 0.8212, + "step": 540 + }, + { + "epoch": 0.27, + "learning_rate": 8.558361032265875e-06, + "loss": 0.8206, + "step": 541 + }, + { + "epoch": 0.27, + "learning_rate": 8.552668210410624e-06, + "loss": 0.8214, + "step": 542 + }, + { + "epoch": 0.27, + "learning_rate": 8.546966072097156e-06, + "loss": 0.8245, + "step": 543 + }, + { + "epoch": 0.27, + "learning_rate": 8.541254632278667e-06, + "loss": 0.8184, + "step": 544 + }, + { + "epoch": 0.27, + "learning_rate": 8.535533905932739e-06, + "loss": 0.8188, + "step": 545 + }, + { + "epoch": 0.27, + "learning_rate": 8.52980390806131e-06, + "loss": 0.8187, + "step": 546 + }, + { + "epoch": 0.27, + "learning_rate": 8.524064653690633e-06, + "loss": 0.8224, + "step": 547 + }, + { + "epoch": 0.27, + "learning_rate": 8.518316157871232e-06, + "loss": 0.8223, + "step": 548 + }, + { + "epoch": 0.27, + "learning_rate": 8.512558435677868e-06, + "loss": 0.8125, + "step": 549 + }, + { + "epoch": 0.28, + "learning_rate": 8.506791502209497e-06, + "loss": 0.8275, + "step": 550 + }, + { + "epoch": 0.28, + "learning_rate": 8.501015372589227e-06, + "loss": 0.8206, + "step": 551 + }, + { + "epoch": 0.28, + "learning_rate": 8.495230061964289e-06, + "loss": 0.8176, + "step": 552 + }, + { + "epoch": 0.28, + "learning_rate": 8.489435585505981e-06, + "loss": 0.8193, + "step": 553 + }, + { + "epoch": 0.28, + "learning_rate": 8.483631958409644e-06, + "loss": 0.819, + "step": 554 + }, + { + "epoch": 0.28, + "learning_rate": 8.477819195894615e-06, + "loss": 0.8179, + "step": 555 + }, + { + "epoch": 0.28, + "learning_rate": 8.471997313204183e-06, + "loss": 0.8053, + "step": 556 + }, + { + "epoch": 0.28, + "learning_rate": 8.466166325605557e-06, + "loss": 0.8265, + "step": 557 + }, + { + "epoch": 0.28, + "learning_rate": 8.460326248389825e-06, + "loss": 0.8287, + "step": 558 + }, + { + "epoch": 0.28, + "learning_rate": 8.454477096871908e-06, + "loss": 0.8248, + "step": 559 + }, + { + "epoch": 0.28, + "learning_rate": 8.448618886390523e-06, + "loss": 0.8071, + "step": 560 + }, + { + "epoch": 0.28, + "learning_rate": 8.442751632308141e-06, + "loss": 0.8246, + "step": 561 + }, + { + "epoch": 0.28, + "learning_rate": 8.436875350010958e-06, + "loss": 0.8199, + "step": 562 + }, + { + "epoch": 0.28, + "learning_rate": 8.430990054908835e-06, + "loss": 0.8242, + "step": 563 + }, + { + "epoch": 0.28, + "learning_rate": 8.425095762435274e-06, + "loss": 0.8314, + "step": 564 + }, + { + "epoch": 0.28, + "learning_rate": 8.419192488047369e-06, + "loss": 0.8142, + "step": 565 + }, + { + "epoch": 0.28, + "learning_rate": 8.41328024722577e-06, + "loss": 0.8101, + "step": 566 + }, + { + "epoch": 0.28, + "learning_rate": 8.407359055474637e-06, + "loss": 0.8157, + "step": 567 + }, + { + "epoch": 0.28, + "learning_rate": 8.401428928321607e-06, + "loss": 0.8164, + "step": 568 + }, + { + "epoch": 0.28, + "learning_rate": 8.395489881317749e-06, + "loss": 0.82, + "step": 569 + }, + { + "epoch": 0.28, + "learning_rate": 8.389541930037516e-06, + "loss": 0.8295, + "step": 570 + }, + { + "epoch": 0.29, + "learning_rate": 8.383585090078721e-06, + "loss": 0.8181, + "step": 571 + }, + { + "epoch": 0.29, + "learning_rate": 8.377619377062483e-06, + "loss": 0.8126, + "step": 572 + }, + { + "epoch": 0.29, + "learning_rate": 8.371644806633186e-06, + "loss": 0.8125, + "step": 573 + }, + { + "epoch": 0.29, + "learning_rate": 8.365661394458446e-06, + "loss": 0.8077, + "step": 574 + }, + { + "epoch": 0.29, + "learning_rate": 8.359669156229062e-06, + "loss": 0.8166, + "step": 575 + }, + { + "epoch": 0.29, + "learning_rate": 8.353668107658984e-06, + "loss": 0.8216, + "step": 576 + }, + { + "epoch": 0.29, + "learning_rate": 8.347658264485258e-06, + "loss": 0.8176, + "step": 577 + }, + { + "epoch": 0.29, + "learning_rate": 8.341639642468002e-06, + "loss": 0.8092, + "step": 578 + }, + { + "epoch": 0.29, + "learning_rate": 8.335612257390346e-06, + "loss": 0.8227, + "step": 579 + }, + { + "epoch": 0.29, + "learning_rate": 8.329576125058406e-06, + "loss": 0.8252, + "step": 580 + }, + { + "epoch": 0.29, + "learning_rate": 8.323531261301237e-06, + "loss": 0.8102, + "step": 581 + }, + { + "epoch": 0.29, + "learning_rate": 8.317477681970786e-06, + "loss": 0.8124, + "step": 582 + }, + { + "epoch": 0.29, + "learning_rate": 8.311415402941865e-06, + "loss": 0.8098, + "step": 583 + }, + { + "epoch": 0.29, + "learning_rate": 8.305344440112089e-06, + "loss": 0.8146, + "step": 584 + }, + { + "epoch": 0.29, + "learning_rate": 8.29926480940185e-06, + "loss": 0.8225, + "step": 585 + }, + { + "epoch": 0.29, + "learning_rate": 8.293176526754274e-06, + "loss": 0.811, + "step": 586 + }, + { + "epoch": 0.29, + "learning_rate": 8.28707960813517e-06, + "loss": 0.8035, + "step": 587 + }, + { + "epoch": 0.29, + "learning_rate": 8.280974069532999e-06, + "loss": 0.8207, + "step": 588 + }, + { + "epoch": 0.29, + "learning_rate": 8.27485992695882e-06, + "loss": 0.8244, + "step": 589 + }, + { + "epoch": 0.29, + "learning_rate": 8.268737196446264e-06, + "loss": 0.8218, + "step": 590 + }, + { + "epoch": 0.3, + "learning_rate": 8.262605894051473e-06, + "loss": 0.819, + "step": 591 + }, + { + "epoch": 0.3, + "learning_rate": 8.256466035853077e-06, + "loss": 0.8157, + "step": 592 + }, + { + "epoch": 0.3, + "learning_rate": 8.250317637952137e-06, + "loss": 0.8141, + "step": 593 + }, + { + "epoch": 0.3, + "learning_rate": 8.244160716472109e-06, + "loss": 0.8158, + "step": 594 + }, + { + "epoch": 0.3, + "learning_rate": 8.237995287558801e-06, + "loss": 0.826, + "step": 595 + }, + { + "epoch": 0.3, + "learning_rate": 8.231821367380335e-06, + "loss": 0.8084, + "step": 596 + }, + { + "epoch": 0.3, + "learning_rate": 8.225638972127093e-06, + "loss": 0.8002, + "step": 597 + }, + { + "epoch": 0.3, + "learning_rate": 8.219448118011687e-06, + "loss": 0.8144, + "step": 598 + }, + { + "epoch": 0.3, + "learning_rate": 8.213248821268913e-06, + "loss": 0.8034, + "step": 599 + }, + { + "epoch": 0.3, + "learning_rate": 8.207041098155701e-06, + "loss": 0.8174, + "step": 600 + }, + { + "epoch": 0.3, + "learning_rate": 8.20082496495108e-06, + "loss": 0.809, + "step": 601 + }, + { + "epoch": 0.3, + "learning_rate": 8.19460043795614e-06, + "loss": 0.8169, + "step": 602 + }, + { + "epoch": 0.3, + "learning_rate": 8.18836753349397e-06, + "loss": 0.814, + "step": 603 + }, + { + "epoch": 0.3, + "learning_rate": 8.182126267909642e-06, + "loss": 0.8296, + "step": 604 + }, + { + "epoch": 0.3, + "learning_rate": 8.175876657570142e-06, + "loss": 0.8133, + "step": 605 + }, + { + "epoch": 0.3, + "learning_rate": 8.16961871886435e-06, + "loss": 0.8099, + "step": 606 + }, + { + "epoch": 0.3, + "learning_rate": 8.163352468202977e-06, + "loss": 0.8129, + "step": 607 + }, + { + "epoch": 0.3, + "learning_rate": 8.157077922018537e-06, + "loss": 0.8018, + "step": 608 + }, + { + "epoch": 0.3, + "learning_rate": 8.150795096765293e-06, + "loss": 0.8137, + "step": 609 + }, + { + "epoch": 0.3, + "learning_rate": 8.144504008919224e-06, + "loss": 0.8274, + "step": 610 + }, + { + "epoch": 0.31, + "learning_rate": 8.138204674977972e-06, + "loss": 0.8027, + "step": 611 + }, + { + "epoch": 0.31, + "learning_rate": 8.13189711146081e-06, + "loss": 0.8232, + "step": 612 + }, + { + "epoch": 0.31, + "learning_rate": 8.125581334908586e-06, + "loss": 0.8148, + "step": 613 + }, + { + "epoch": 0.31, + "learning_rate": 8.119257361883686e-06, + "loss": 0.8091, + "step": 614 + }, + { + "epoch": 0.31, + "learning_rate": 8.112925208969996e-06, + "loss": 0.8233, + "step": 615 + }, + { + "epoch": 0.31, + "learning_rate": 8.106584892772844e-06, + "loss": 0.8203, + "step": 616 + }, + { + "epoch": 0.31, + "learning_rate": 8.100236429918973e-06, + "loss": 0.8273, + "step": 617 + }, + { + "epoch": 0.31, + "learning_rate": 8.093879837056486e-06, + "loss": 0.8167, + "step": 618 + }, + { + "epoch": 0.31, + "learning_rate": 8.087515130854808e-06, + "loss": 0.8027, + "step": 619 + }, + { + "epoch": 0.31, + "learning_rate": 8.081142328004638e-06, + "loss": 0.806, + "step": 620 + }, + { + "epoch": 0.31, + "learning_rate": 8.074761445217908e-06, + "loss": 0.8025, + "step": 621 + }, + { + "epoch": 0.31, + "learning_rate": 8.068372499227738e-06, + "loss": 0.8184, + "step": 622 + }, + { + "epoch": 0.31, + "learning_rate": 8.061975506788398e-06, + "loss": 0.806, + "step": 623 + }, + { + "epoch": 0.31, + "learning_rate": 8.055570484675252e-06, + "loss": 0.8146, + "step": 624 + }, + { + "epoch": 0.31, + "learning_rate": 8.049157449684723e-06, + "loss": 0.8259, + "step": 625 + }, + { + "epoch": 0.31, + "learning_rate": 8.042736418634252e-06, + "loss": 0.8209, + "step": 626 + }, + { + "epoch": 0.31, + "learning_rate": 8.03630740836224e-06, + "loss": 0.8178, + "step": 627 + }, + { + "epoch": 0.31, + "learning_rate": 8.029870435728018e-06, + "loss": 0.8086, + "step": 628 + }, + { + "epoch": 0.31, + "learning_rate": 8.023425517611797e-06, + "loss": 0.8079, + "step": 629 + }, + { + "epoch": 0.32, + "learning_rate": 8.016972670914624e-06, + "loss": 0.8251, + "step": 630 + }, + { + "epoch": 0.32, + "learning_rate": 8.010511912558336e-06, + "loss": 0.8147, + "step": 631 + }, + { + "epoch": 0.32, + "learning_rate": 8.004043259485519e-06, + "loss": 0.818, + "step": 632 + }, + { + "epoch": 0.32, + "learning_rate": 7.99756672865946e-06, + "loss": 0.813, + "step": 633 + }, + { + "epoch": 0.32, + "learning_rate": 7.99108233706411e-06, + "loss": 0.8104, + "step": 634 + }, + { + "epoch": 0.32, + "learning_rate": 7.984590101704026e-06, + "loss": 0.8268, + "step": 635 + }, + { + "epoch": 0.32, + "learning_rate": 7.978090039604342e-06, + "loss": 0.8178, + "step": 636 + }, + { + "epoch": 0.32, + "learning_rate": 7.971582167810709e-06, + "loss": 0.826, + "step": 637 + }, + { + "epoch": 0.32, + "learning_rate": 7.965066503389264e-06, + "loss": 0.8034, + "step": 638 + }, + { + "epoch": 0.32, + "learning_rate": 7.95854306342658e-06, + "loss": 0.8226, + "step": 639 + }, + { + "epoch": 0.32, + "learning_rate": 7.952011865029614e-06, + "loss": 0.8078, + "step": 640 + }, + { + "epoch": 0.32, + "learning_rate": 7.945472925325674e-06, + "loss": 0.8239, + "step": 641 + }, + { + "epoch": 0.32, + "learning_rate": 7.938926261462366e-06, + "loss": 0.8236, + "step": 642 + }, + { + "epoch": 0.32, + "learning_rate": 7.932371890607556e-06, + "loss": 0.8086, + "step": 643 + }, + { + "epoch": 0.32, + "learning_rate": 7.925809829949312e-06, + "loss": 0.8172, + "step": 644 + }, + { + "epoch": 0.32, + "learning_rate": 7.919240096695877e-06, + "loss": 0.8234, + "step": 645 + }, + { + "epoch": 0.32, + "learning_rate": 7.91266270807561e-06, + "loss": 0.816, + "step": 646 + }, + { + "epoch": 0.32, + "learning_rate": 7.906077681336947e-06, + "loss": 0.8269, + "step": 647 + }, + { + "epoch": 0.32, + "learning_rate": 7.89948503374835e-06, + "loss": 0.8171, + "step": 648 + }, + { + "epoch": 0.32, + "learning_rate": 7.892884782598272e-06, + "loss": 0.8127, + "step": 649 + }, + { + "epoch": 0.33, + "learning_rate": 7.886276945195098e-06, + "loss": 0.814, + "step": 650 + }, + { + "epoch": 0.33, + "learning_rate": 7.879661538867116e-06, + "loss": 0.8145, + "step": 651 + }, + { + "epoch": 0.33, + "learning_rate": 7.873038580962453e-06, + "loss": 0.8078, + "step": 652 + }, + { + "epoch": 0.33, + "learning_rate": 7.866408088849048e-06, + "loss": 0.8139, + "step": 653 + }, + { + "epoch": 0.33, + "learning_rate": 7.859770079914592e-06, + "loss": 0.8091, + "step": 654 + }, + { + "epoch": 0.33, + "learning_rate": 7.853124571566491e-06, + "loss": 0.7965, + "step": 655 + }, + { + "epoch": 0.33, + "learning_rate": 7.846471581231814e-06, + "loss": 0.8176, + "step": 656 + }, + { + "epoch": 0.33, + "learning_rate": 7.839811126357254e-06, + "loss": 0.819, + "step": 657 + }, + { + "epoch": 0.33, + "learning_rate": 7.833143224409076e-06, + "loss": 0.8161, + "step": 658 + }, + { + "epoch": 0.33, + "learning_rate": 7.826467892873074e-06, + "loss": 0.8125, + "step": 659 + }, + { + "epoch": 0.33, + "learning_rate": 7.819785149254534e-06, + "loss": 0.8094, + "step": 660 + }, + { + "epoch": 0.33, + "learning_rate": 7.813095011078164e-06, + "loss": 0.7998, + "step": 661 + }, + { + "epoch": 0.33, + "learning_rate": 7.806397495888074e-06, + "loss": 0.812, + "step": 662 + }, + { + "epoch": 0.33, + "learning_rate": 7.799692621247718e-06, + "loss": 0.8151, + "step": 663 + }, + { + "epoch": 0.33, + "learning_rate": 7.792980404739849e-06, + "loss": 0.8164, + "step": 664 + }, + { + "epoch": 0.33, + "learning_rate": 7.786260863966468e-06, + "loss": 0.8084, + "step": 665 + }, + { + "epoch": 0.33, + "learning_rate": 7.779534016548791e-06, + "loss": 0.8124, + "step": 666 + }, + { + "epoch": 0.33, + "learning_rate": 7.77279988012719e-06, + "loss": 0.8054, + "step": 667 + }, + { + "epoch": 0.33, + "learning_rate": 7.766058472361154e-06, + "loss": 0.807, + "step": 668 + }, + { + "epoch": 0.33, + "learning_rate": 7.759309810929237e-06, + "loss": 0.8046, + "step": 669 + }, + { + "epoch": 0.34, + "learning_rate": 7.752553913529019e-06, + "loss": 0.796, + "step": 670 + }, + { + "epoch": 0.34, + "learning_rate": 7.745790797877051e-06, + "loss": 0.813, + "step": 671 + }, + { + "epoch": 0.34, + "learning_rate": 7.739020481708816e-06, + "loss": 0.8103, + "step": 672 + }, + { + "epoch": 0.34, + "learning_rate": 7.73224298277868e-06, + "loss": 0.806, + "step": 673 + }, + { + "epoch": 0.34, + "learning_rate": 7.725458318859842e-06, + "loss": 0.8146, + "step": 674 + }, + { + "epoch": 0.34, + "learning_rate": 7.718666507744293e-06, + "loss": 0.8078, + "step": 675 + }, + { + "epoch": 0.34, + "learning_rate": 7.711867567242769e-06, + "loss": 0.8125, + "step": 676 + }, + { + "epoch": 0.34, + "learning_rate": 7.705061515184693e-06, + "loss": 0.8055, + "step": 677 + }, + { + "epoch": 0.34, + "learning_rate": 7.698248369418146e-06, + "loss": 0.8228, + "step": 678 + }, + { + "epoch": 0.34, + "learning_rate": 7.691428147809811e-06, + "loss": 0.8121, + "step": 679 + }, + { + "epoch": 0.34, + "learning_rate": 7.68460086824492e-06, + "loss": 0.8135, + "step": 680 + }, + { + "epoch": 0.34, + "learning_rate": 7.67776654862722e-06, + "loss": 0.8106, + "step": 681 + }, + { + "epoch": 0.34, + "learning_rate": 7.670925206878917e-06, + "loss": 0.8084, + "step": 682 + }, + { + "epoch": 0.34, + "learning_rate": 7.66407686094063e-06, + "loss": 0.81, + "step": 683 + }, + { + "epoch": 0.34, + "learning_rate": 7.657221528771352e-06, + "loss": 0.8119, + "step": 684 + }, + { + "epoch": 0.34, + "learning_rate": 7.65035922834839e-06, + "loss": 0.8088, + "step": 685 + }, + { + "epoch": 0.34, + "learning_rate": 7.643489977667327e-06, + "loss": 0.8125, + "step": 686 + }, + { + "epoch": 0.34, + "learning_rate": 7.636613794741973e-06, + "loss": 0.8167, + "step": 687 + }, + { + "epoch": 0.34, + "learning_rate": 7.629730697604314e-06, + "loss": 0.8071, + "step": 688 + }, + { + "epoch": 0.34, + "learning_rate": 7.622840704304473e-06, + "loss": 0.7975, + "step": 689 + }, + { + "epoch": 0.34, + "learning_rate": 7.61594383291065e-06, + "loss": 0.8026, + "step": 690 + }, + { + "epoch": 0.35, + "learning_rate": 7.6090401015090905e-06, + "loss": 0.8034, + "step": 691 + }, + { + "epoch": 0.35, + "learning_rate": 7.602129528204023e-06, + "loss": 0.8177, + "step": 692 + }, + { + "epoch": 0.35, + "learning_rate": 7.5952121311176205e-06, + "loss": 0.7963, + "step": 693 + }, + { + "epoch": 0.35, + "learning_rate": 7.588287928389952e-06, + "loss": 0.8128, + "step": 694 + }, + { + "epoch": 0.35, + "learning_rate": 7.58135693817893e-06, + "loss": 0.8067, + "step": 695 + }, + { + "epoch": 0.35, + "learning_rate": 7.574419178660269e-06, + "loss": 0.8062, + "step": 696 + }, + { + "epoch": 0.35, + "learning_rate": 7.567474668027433e-06, + "loss": 0.8006, + "step": 697 + }, + { + "epoch": 0.35, + "learning_rate": 7.560523424491595e-06, + "loss": 0.8063, + "step": 698 + }, + { + "epoch": 0.35, + "learning_rate": 7.553565466281576e-06, + "loss": 0.8057, + "step": 699 + }, + { + "epoch": 0.35, + "learning_rate": 7.546600811643816e-06, + "loss": 0.8076, + "step": 700 + }, + { + "epoch": 0.35, + "learning_rate": 7.539629478842305e-06, + "loss": 0.808, + "step": 701 + }, + { + "epoch": 0.35, + "learning_rate": 7.532651486158554e-06, + "loss": 0.8062, + "step": 702 + }, + { + "epoch": 0.35, + "learning_rate": 7.525666851891534e-06, + "loss": 0.8034, + "step": 703 + }, + { + "epoch": 0.35, + "learning_rate": 7.5186755943576324e-06, + "loss": 0.8034, + "step": 704 + }, + { + "epoch": 0.35, + "learning_rate": 7.5116777318906105e-06, + "loss": 0.7973, + "step": 705 + }, + { + "epoch": 0.35, + "learning_rate": 7.504673282841544e-06, + "loss": 0.8034, + "step": 706 + }, + { + "epoch": 0.35, + "learning_rate": 7.4976622655787844e-06, + "loss": 0.7987, + "step": 707 + }, + { + "epoch": 0.35, + "learning_rate": 7.490644698487909e-06, + "loss": 0.8042, + "step": 708 + }, + { + "epoch": 0.35, + "learning_rate": 7.483620599971666e-06, + "loss": 0.8118, + "step": 709 + }, + { + "epoch": 0.35, + "learning_rate": 7.476589988449939e-06, + "loss": 0.8089, + "step": 710 + }, + { + "epoch": 0.36, + "learning_rate": 7.4695528823596845e-06, + "loss": 0.8026, + "step": 711 + }, + { + "epoch": 0.36, + "learning_rate": 7.462509300154892e-06, + "loss": 0.8051, + "step": 712 + }, + { + "epoch": 0.36, + "learning_rate": 7.455459260306537e-06, + "loss": 0.798, + "step": 713 + }, + { + "epoch": 0.36, + "learning_rate": 7.448402781302526e-06, + "loss": 0.8097, + "step": 714 + }, + { + "epoch": 0.36, + "learning_rate": 7.441339881647654e-06, + "loss": 0.7969, + "step": 715 + }, + { + "epoch": 0.36, + "learning_rate": 7.434270579863549e-06, + "loss": 0.8211, + "step": 716 + }, + { + "epoch": 0.36, + "learning_rate": 7.427194894488633e-06, + "loss": 0.8177, + "step": 717 + }, + { + "epoch": 0.36, + "learning_rate": 7.420112844078066e-06, + "loss": 0.803, + "step": 718 + }, + { + "epoch": 0.36, + "learning_rate": 7.413024447203698e-06, + "loss": 0.8087, + "step": 719 + }, + { + "epoch": 0.36, + "learning_rate": 7.405929722454026e-06, + "loss": 0.8217, + "step": 720 + }, + { + "epoch": 0.36, + "learning_rate": 7.398828688434137e-06, + "loss": 0.8081, + "step": 721 + }, + { + "epoch": 0.36, + "learning_rate": 7.391721363765664e-06, + "loss": 0.7995, + "step": 722 + }, + { + "epoch": 0.36, + "learning_rate": 7.384607767086738e-06, + "loss": 0.8084, + "step": 723 + }, + { + "epoch": 0.36, + "learning_rate": 7.3774879170519386e-06, + "loss": 0.8088, + "step": 724 + }, + { + "epoch": 0.36, + "learning_rate": 7.370361832332241e-06, + "loss": 0.8086, + "step": 725 + }, + { + "epoch": 0.36, + "learning_rate": 7.363229531614973e-06, + "loss": 0.7998, + "step": 726 + }, + { + "epoch": 0.36, + "learning_rate": 7.356091033603758e-06, + "loss": 0.8128, + "step": 727 + }, + { + "epoch": 0.36, + "learning_rate": 7.348946357018479e-06, + "loss": 0.804, + "step": 728 + }, + { + "epoch": 0.36, + "learning_rate": 7.341795520595216e-06, + "loss": 0.8099, + "step": 729 + }, + { + "epoch": 0.36, + "learning_rate": 7.334638543086203e-06, + "loss": 0.8055, + "step": 730 + }, + { + "epoch": 0.37, + "learning_rate": 7.327475443259781e-06, + "loss": 0.8046, + "step": 731 + }, + { + "epoch": 0.37, + "learning_rate": 7.320306239900343e-06, + "loss": 0.809, + "step": 732 + }, + { + "epoch": 0.37, + "learning_rate": 7.313130951808289e-06, + "loss": 0.8133, + "step": 733 + }, + { + "epoch": 0.37, + "learning_rate": 7.305949597799976e-06, + "loss": 0.8005, + "step": 734 + }, + { + "epoch": 0.37, + "learning_rate": 7.298762196707668e-06, + "loss": 0.8111, + "step": 735 + }, + { + "epoch": 0.37, + "learning_rate": 7.291568767379484e-06, + "loss": 0.8099, + "step": 736 + }, + { + "epoch": 0.37, + "learning_rate": 7.2843693286793575e-06, + "loss": 0.7913, + "step": 737 + }, + { + "epoch": 0.37, + "learning_rate": 7.277163899486975e-06, + "loss": 0.806, + "step": 738 + }, + { + "epoch": 0.37, + "learning_rate": 7.269952498697734e-06, + "loss": 0.8056, + "step": 739 + }, + { + "epoch": 0.37, + "learning_rate": 7.262735145222696e-06, + "loss": 0.8121, + "step": 740 + }, + { + "epoch": 0.37, + "learning_rate": 7.255511857988524e-06, + "loss": 0.7992, + "step": 741 + }, + { + "epoch": 0.37, + "learning_rate": 7.248282655937451e-06, + "loss": 0.8027, + "step": 742 + }, + { + "epoch": 0.37, + "learning_rate": 7.241047558027211e-06, + "loss": 0.8003, + "step": 743 + }, + { + "epoch": 0.37, + "learning_rate": 7.233806583231012e-06, + "loss": 0.7989, + "step": 744 + }, + { + "epoch": 0.37, + "learning_rate": 7.226559750537462e-06, + "loss": 0.7992, + "step": 745 + }, + { + "epoch": 0.37, + "learning_rate": 7.219307078950536e-06, + "loss": 0.8089, + "step": 746 + }, + { + "epoch": 0.37, + "learning_rate": 7.212048587489519e-06, + "loss": 0.8, + "step": 747 + }, + { + "epoch": 0.37, + "learning_rate": 7.204784295188959e-06, + "loss": 0.8074, + "step": 748 + }, + { + "epoch": 0.37, + "learning_rate": 7.197514221098616e-06, + "loss": 0.8118, + "step": 749 + }, + { + "epoch": 0.38, + "learning_rate": 7.190238384283413e-06, + "loss": 0.8163, + "step": 750 + }, + { + "epoch": 0.38, + "learning_rate": 7.182956803823381e-06, + "loss": 0.7944, + "step": 751 + }, + { + "epoch": 0.38, + "learning_rate": 7.1756694988136165e-06, + "loss": 0.8025, + "step": 752 + }, + { + "epoch": 0.38, + "learning_rate": 7.16837648836423e-06, + "loss": 0.8023, + "step": 753 + }, + { + "epoch": 0.38, + "learning_rate": 7.161077791600288e-06, + "loss": 0.8051, + "step": 754 + }, + { + "epoch": 0.38, + "learning_rate": 7.1537734276617744e-06, + "loss": 0.8027, + "step": 755 + }, + { + "epoch": 0.38, + "learning_rate": 7.14646341570353e-06, + "loss": 0.795, + "step": 756 + }, + { + "epoch": 0.38, + "learning_rate": 7.1391477748952095e-06, + "loss": 0.8173, + "step": 757 + }, + { + "epoch": 0.38, + "learning_rate": 7.1318265244212305e-06, + "loss": 0.8145, + "step": 758 + }, + { + "epoch": 0.38, + "learning_rate": 7.124499683480715e-06, + "loss": 0.809, + "step": 759 + }, + { + "epoch": 0.38, + "learning_rate": 7.117167271287453e-06, + "loss": 0.8142, + "step": 760 + }, + { + "epoch": 0.38, + "learning_rate": 7.109829307069837e-06, + "loss": 0.8041, + "step": 761 + }, + { + "epoch": 0.38, + "learning_rate": 7.102485810070824e-06, + "loss": 0.8091, + "step": 762 + }, + { + "epoch": 0.38, + "learning_rate": 7.095136799547881e-06, + "loss": 0.8022, + "step": 763 + }, + { + "epoch": 0.38, + "learning_rate": 7.0877822947729265e-06, + "loss": 0.8046, + "step": 764 + }, + { + "epoch": 0.38, + "learning_rate": 7.080422315032298e-06, + "loss": 0.8086, + "step": 765 + }, + { + "epoch": 0.38, + "learning_rate": 7.073056879626681e-06, + "loss": 0.8147, + "step": 766 + }, + { + "epoch": 0.38, + "learning_rate": 7.065686007871071e-06, + "loss": 0.7925, + "step": 767 + }, + { + "epoch": 0.38, + "learning_rate": 7.05830971909472e-06, + "loss": 0.8004, + "step": 768 + }, + { + "epoch": 0.38, + "learning_rate": 7.050928032641087e-06, + "loss": 0.8064, + "step": 769 + }, + { + "epoch": 0.39, + "learning_rate": 7.043540967867782e-06, + "loss": 0.8014, + "step": 770 + }, + { + "epoch": 0.39, + "learning_rate": 7.036148544146522e-06, + "loss": 0.794, + "step": 771 + }, + { + "epoch": 0.39, + "learning_rate": 7.028750780863078e-06, + "loss": 0.8123, + "step": 772 + }, + { + "epoch": 0.39, + "learning_rate": 7.021347697417218e-06, + "loss": 0.7975, + "step": 773 + }, + { + "epoch": 0.39, + "learning_rate": 7.013939313222669e-06, + "loss": 0.8077, + "step": 774 + }, + { + "epoch": 0.39, + "learning_rate": 7.006525647707054e-06, + "loss": 0.8018, + "step": 775 + }, + { + "epoch": 0.39, + "learning_rate": 6.999106720311846e-06, + "loss": 0.8007, + "step": 776 + }, + { + "epoch": 0.39, + "learning_rate": 6.991682550492317e-06, + "loss": 0.7955, + "step": 777 + }, + { + "epoch": 0.39, + "learning_rate": 6.9842531577174865e-06, + "loss": 0.7969, + "step": 778 + }, + { + "epoch": 0.39, + "learning_rate": 6.976818561470073e-06, + "loss": 0.8038, + "step": 779 + }, + { + "epoch": 0.39, + "learning_rate": 6.969378781246436e-06, + "loss": 0.8078, + "step": 780 + }, + { + "epoch": 0.39, + "learning_rate": 6.961933836556533e-06, + "loss": 0.8035, + "step": 781 + }, + { + "epoch": 0.39, + "learning_rate": 6.954483746923865e-06, + "loss": 0.8083, + "step": 782 + }, + { + "epoch": 0.39, + "learning_rate": 6.9470285318854205e-06, + "loss": 0.7981, + "step": 783 + }, + { + "epoch": 0.39, + "learning_rate": 6.939568210991633e-06, + "loss": 0.7997, + "step": 784 + }, + { + "epoch": 0.39, + "learning_rate": 6.932102803806324e-06, + "loss": 0.8138, + "step": 785 + }, + { + "epoch": 0.39, + "learning_rate": 6.924632329906657e-06, + "loss": 0.8021, + "step": 786 + }, + { + "epoch": 0.39, + "learning_rate": 6.917156808883073e-06, + "loss": 0.7938, + "step": 787 + }, + { + "epoch": 0.39, + "learning_rate": 6.9096762603392595e-06, + "loss": 0.7931, + "step": 788 + }, + { + "epoch": 0.39, + "learning_rate": 6.90219070389208e-06, + "loss": 0.8024, + "step": 789 + }, + { + "epoch": 0.4, + "learning_rate": 6.894700159171535e-06, + "loss": 0.801, + "step": 790 + }, + { + "epoch": 0.4, + "learning_rate": 6.8872046458207035e-06, + "loss": 0.799, + "step": 791 + }, + { + "epoch": 0.4, + "learning_rate": 6.8797041834956955e-06, + "loss": 0.7893, + "step": 792 + }, + { + "epoch": 0.4, + "learning_rate": 6.872198791865602e-06, + "loss": 0.8057, + "step": 793 + }, + { + "epoch": 0.4, + "learning_rate": 6.8646884906124345e-06, + "loss": 0.801, + "step": 794 + }, + { + "epoch": 0.4, + "learning_rate": 6.857173299431084e-06, + "loss": 0.8151, + "step": 795 + }, + { + "epoch": 0.4, + "learning_rate": 6.849653238029261e-06, + "loss": 0.8069, + "step": 796 + }, + { + "epoch": 0.4, + "learning_rate": 6.842128326127453e-06, + "loss": 0.7955, + "step": 797 + }, + { + "epoch": 0.4, + "learning_rate": 6.834598583458862e-06, + "loss": 0.8062, + "step": 798 + }, + { + "epoch": 0.4, + "learning_rate": 6.82706402976936e-06, + "loss": 0.809, + "step": 799 + }, + { + "epoch": 0.4, + "learning_rate": 6.819524684817439e-06, + "loss": 0.8039, + "step": 800 + }, + { + "epoch": 0.4, + "learning_rate": 6.811980568374148e-06, + "loss": 0.7905, + "step": 801 + }, + { + "epoch": 0.4, + "learning_rate": 6.804431700223057e-06, + "loss": 0.8031, + "step": 802 + }, + { + "epoch": 0.4, + "learning_rate": 6.7968781001601865e-06, + "loss": 0.8106, + "step": 803 + }, + { + "epoch": 0.4, + "learning_rate": 6.78931978799398e-06, + "loss": 0.8006, + "step": 804 + }, + { + "epoch": 0.4, + "learning_rate": 6.781756783545225e-06, + "loss": 0.7955, + "step": 805 + }, + { + "epoch": 0.4, + "learning_rate": 6.774189106647021e-06, + "loss": 0.8091, + "step": 806 + }, + { + "epoch": 0.4, + "learning_rate": 6.766616777144716e-06, + "loss": 0.8155, + "step": 807 + }, + { + "epoch": 0.4, + "learning_rate": 6.7590398148958625e-06, + "loss": 0.8036, + "step": 808 + }, + { + "epoch": 0.4, + "learning_rate": 6.751458239770163e-06, + "loss": 0.7991, + "step": 809 + }, + { + "epoch": 0.41, + "learning_rate": 6.743872071649411e-06, + "loss": 0.8115, + "step": 810 + }, + { + "epoch": 0.41, + "learning_rate": 6.736281330427451e-06, + "loss": 0.809, + "step": 811 + }, + { + "epoch": 0.41, + "learning_rate": 6.728686036010115e-06, + "loss": 0.8038, + "step": 812 + }, + { + "epoch": 0.41, + "learning_rate": 6.721086208315177e-06, + "loss": 0.7955, + "step": 813 + }, + { + "epoch": 0.41, + "learning_rate": 6.7134818672723005e-06, + "loss": 0.8003, + "step": 814 + }, + { + "epoch": 0.41, + "learning_rate": 6.705873032822981e-06, + "loss": 0.8018, + "step": 815 + }, + { + "epoch": 0.41, + "learning_rate": 6.698259724920503e-06, + "loss": 0.8017, + "step": 816 + }, + { + "epoch": 0.41, + "learning_rate": 6.690641963529876e-06, + "loss": 0.8104, + "step": 817 + }, + { + "epoch": 0.41, + "learning_rate": 6.6830197686277945e-06, + "loss": 0.8045, + "step": 818 + }, + { + "epoch": 0.41, + "learning_rate": 6.675393160202572e-06, + "loss": 0.7986, + "step": 819 + }, + { + "epoch": 0.41, + "learning_rate": 6.667762158254104e-06, + "loss": 0.7983, + "step": 820 + }, + { + "epoch": 0.41, + "learning_rate": 6.660126782793801e-06, + "loss": 0.8022, + "step": 821 + }, + { + "epoch": 0.41, + "learning_rate": 6.652487053844544e-06, + "loss": 0.8083, + "step": 822 + }, + { + "epoch": 0.41, + "learning_rate": 6.644842991440635e-06, + "loss": 0.7947, + "step": 823 + }, + { + "epoch": 0.41, + "learning_rate": 6.637194615627733e-06, + "loss": 0.7961, + "step": 824 + }, + { + "epoch": 0.41, + "learning_rate": 6.629541946462816e-06, + "loss": 0.7984, + "step": 825 + }, + { + "epoch": 0.41, + "learning_rate": 6.621885004014113e-06, + "loss": 0.7936, + "step": 826 + }, + { + "epoch": 0.41, + "learning_rate": 6.614223808361064e-06, + "loss": 0.8031, + "step": 827 + }, + { + "epoch": 0.41, + "learning_rate": 6.6065583795942625e-06, + "loss": 0.8074, + "step": 828 + }, + { + "epoch": 0.41, + "learning_rate": 6.5988887378154e-06, + "loss": 0.8096, + "step": 829 + }, + { + "epoch": 0.41, + "learning_rate": 6.591214903137221e-06, + "loss": 0.8074, + "step": 830 + }, + { + "epoch": 0.42, + "learning_rate": 6.583536895683458e-06, + "loss": 0.8067, + "step": 831 + }, + { + "epoch": 0.42, + "learning_rate": 6.5758547355887944e-06, + "loss": 0.8052, + "step": 832 + }, + { + "epoch": 0.42, + "learning_rate": 6.5681684429987956e-06, + "loss": 0.8064, + "step": 833 + }, + { + "epoch": 0.42, + "learning_rate": 6.560478038069873e-06, + "loss": 0.7982, + "step": 834 + }, + { + "epoch": 0.42, + "learning_rate": 6.552783540969212e-06, + "loss": 0.7903, + "step": 835 + }, + { + "epoch": 0.42, + "learning_rate": 6.545084971874738e-06, + "loss": 0.8151, + "step": 836 + }, + { + "epoch": 0.42, + "learning_rate": 6.537382350975048e-06, + "loss": 0.7999, + "step": 837 + }, + { + "epoch": 0.42, + "learning_rate": 6.52967569846937e-06, + "loss": 0.8051, + "step": 838 + }, + { + "epoch": 0.42, + "learning_rate": 6.521965034567499e-06, + "loss": 0.8023, + "step": 839 + }, + { + "epoch": 0.42, + "learning_rate": 6.514250379489754e-06, + "loss": 0.8165, + "step": 840 + }, + { + "epoch": 0.42, + "learning_rate": 6.506531753466919e-06, + "loss": 0.812, + "step": 841 + }, + { + "epoch": 0.42, + "learning_rate": 6.49880917674019e-06, + "loss": 0.8103, + "step": 842 + }, + { + "epoch": 0.42, + "learning_rate": 6.491082669561124e-06, + "loss": 0.8152, + "step": 843 + }, + { + "epoch": 0.42, + "learning_rate": 6.483352252191585e-06, + "loss": 0.8092, + "step": 844 + }, + { + "epoch": 0.42, + "learning_rate": 6.475617944903693e-06, + "loss": 0.7955, + "step": 845 + }, + { + "epoch": 0.42, + "learning_rate": 6.467879767979764e-06, + "loss": 0.798, + "step": 846 + }, + { + "epoch": 0.42, + "learning_rate": 6.460137741712269e-06, + "loss": 0.8028, + "step": 847 + }, + { + "epoch": 0.42, + "learning_rate": 6.452391886403767e-06, + "loss": 0.804, + "step": 848 + }, + { + "epoch": 0.42, + "learning_rate": 6.444642222366861e-06, + "loss": 0.7862, + "step": 849 + }, + { + "epoch": 0.42, + "learning_rate": 6.436888769924142e-06, + "loss": 0.8147, + "step": 850 + }, + { + "epoch": 0.43, + "learning_rate": 6.429131549408133e-06, + "loss": 0.7977, + "step": 851 + }, + { + "epoch": 0.43, + "learning_rate": 6.421370581161244e-06, + "loss": 0.799, + "step": 852 + }, + { + "epoch": 0.43, + "learning_rate": 6.413605885535705e-06, + "loss": 0.7918, + "step": 853 + }, + { + "epoch": 0.43, + "learning_rate": 6.405837482893529e-06, + "loss": 0.8058, + "step": 854 + }, + { + "epoch": 0.43, + "learning_rate": 6.398065393606445e-06, + "loss": 0.8037, + "step": 855 + }, + { + "epoch": 0.43, + "learning_rate": 6.390289638055851e-06, + "loss": 0.7918, + "step": 856 + }, + { + "epoch": 0.43, + "learning_rate": 6.38251023663276e-06, + "loss": 0.7958, + "step": 857 + }, + { + "epoch": 0.43, + "learning_rate": 6.374727209737743e-06, + "loss": 0.8038, + "step": 858 + }, + { + "epoch": 0.43, + "learning_rate": 6.366940577780885e-06, + "loss": 0.8059, + "step": 859 + }, + { + "epoch": 0.43, + "learning_rate": 6.3591503611817155e-06, + "loss": 0.8031, + "step": 860 + }, + { + "epoch": 0.43, + "learning_rate": 6.351356580369172e-06, + "loss": 0.7965, + "step": 861 + }, + { + "epoch": 0.43, + "learning_rate": 6.343559255781538e-06, + "loss": 0.8096, + "step": 862 + }, + { + "epoch": 0.43, + "learning_rate": 6.335758407866383e-06, + "loss": 0.8012, + "step": 863 + }, + { + "epoch": 0.43, + "learning_rate": 6.3279540570805265e-06, + "loss": 0.8032, + "step": 864 + }, + { + "epoch": 0.43, + "learning_rate": 6.320146223889966e-06, + "loss": 0.8011, + "step": 865 + }, + { + "epoch": 0.43, + "learning_rate": 6.3123349287698345e-06, + "loss": 0.8027, + "step": 866 + }, + { + "epoch": 0.43, + "learning_rate": 6.304520192204342e-06, + "loss": 0.8102, + "step": 867 + }, + { + "epoch": 0.43, + "learning_rate": 6.296702034686726e-06, + "loss": 0.8027, + "step": 868 + }, + { + "epoch": 0.43, + "learning_rate": 6.288880476719191e-06, + "loss": 0.7901, + "step": 869 + }, + { + "epoch": 0.43, + "learning_rate": 6.281055538812861e-06, + "loss": 0.7991, + "step": 870 + }, + { + "epoch": 0.44, + "learning_rate": 6.273227241487727e-06, + "loss": 0.8016, + "step": 871 + }, + { + "epoch": 0.44, + "learning_rate": 6.265395605272581e-06, + "loss": 0.7965, + "step": 872 + }, + { + "epoch": 0.44, + "learning_rate": 6.25756065070498e-06, + "loss": 0.8045, + "step": 873 + }, + { + "epoch": 0.44, + "learning_rate": 6.249722398331177e-06, + "loss": 0.8015, + "step": 874 + }, + { + "epoch": 0.44, + "learning_rate": 6.241880868706075e-06, + "loss": 0.7877, + "step": 875 + }, + { + "epoch": 0.44, + "learning_rate": 6.234036082393171e-06, + "loss": 0.8067, + "step": 876 + }, + { + "epoch": 0.44, + "learning_rate": 6.226188059964504e-06, + "loss": 0.8101, + "step": 877 + }, + { + "epoch": 0.44, + "learning_rate": 6.218336822000598e-06, + "loss": 0.8088, + "step": 878 + }, + { + "epoch": 0.44, + "learning_rate": 6.210482389090408e-06, + "loss": 0.7931, + "step": 879 + }, + { + "epoch": 0.44, + "learning_rate": 6.202624781831269e-06, + "loss": 0.8028, + "step": 880 + }, + { + "epoch": 0.44, + "learning_rate": 6.194764020828839e-06, + "loss": 0.7985, + "step": 881 + }, + { + "epoch": 0.44, + "learning_rate": 6.18690012669705e-06, + "loss": 0.7843, + "step": 882 + }, + { + "epoch": 0.44, + "learning_rate": 6.179033120058046e-06, + "loss": 0.7974, + "step": 883 + }, + { + "epoch": 0.44, + "learning_rate": 6.171163021542134e-06, + "loss": 0.8004, + "step": 884 + }, + { + "epoch": 0.44, + "learning_rate": 6.163289851787732e-06, + "loss": 0.8095, + "step": 885 + }, + { + "epoch": 0.44, + "learning_rate": 6.155413631441307e-06, + "loss": 0.8092, + "step": 886 + }, + { + "epoch": 0.44, + "learning_rate": 6.1475343811573305e-06, + "loss": 0.7904, + "step": 887 + }, + { + "epoch": 0.44, + "learning_rate": 6.139652121598219e-06, + "loss": 0.7946, + "step": 888 + }, + { + "epoch": 0.44, + "learning_rate": 6.131766873434276e-06, + "loss": 0.7843, + "step": 889 + }, + { + "epoch": 0.45, + "learning_rate": 6.123878657343648e-06, + "loss": 0.8045, + "step": 890 + }, + { + "epoch": 0.45, + "learning_rate": 6.115987494012261e-06, + "loss": 0.8088, + "step": 891 + }, + { + "epoch": 0.45, + "learning_rate": 6.108093404133772e-06, + "loss": 0.8046, + "step": 892 + }, + { + "epoch": 0.45, + "learning_rate": 6.100196408409511e-06, + "loss": 0.7992, + "step": 893 + }, + { + "epoch": 0.45, + "learning_rate": 6.092296527548427e-06, + "loss": 0.8063, + "step": 894 + }, + { + "epoch": 0.45, + "learning_rate": 6.084393782267039e-06, + "loss": 0.8051, + "step": 895 + }, + { + "epoch": 0.45, + "learning_rate": 6.076488193289375e-06, + "loss": 0.801, + "step": 896 + }, + { + "epoch": 0.45, + "learning_rate": 6.068579781346919e-06, + "loss": 0.806, + "step": 897 + }, + { + "epoch": 0.45, + "learning_rate": 6.060668567178561e-06, + "loss": 0.8107, + "step": 898 + }, + { + "epoch": 0.45, + "learning_rate": 6.052754571530536e-06, + "loss": 0.7979, + "step": 899 + }, + { + "epoch": 0.45, + "learning_rate": 6.044837815156377e-06, + "loss": 0.7933, + "step": 900 + }, + { + "epoch": 0.45, + "learning_rate": 6.036918318816853e-06, + "loss": 0.8064, + "step": 901 + }, + { + "epoch": 0.45, + "learning_rate": 6.028996103279918e-06, + "loss": 0.8012, + "step": 902 + }, + { + "epoch": 0.45, + "learning_rate": 6.021071189320665e-06, + "loss": 0.795, + "step": 903 + }, + { + "epoch": 0.45, + "learning_rate": 6.013143597721252e-06, + "loss": 0.7915, + "step": 904 + }, + { + "epoch": 0.45, + "learning_rate": 6.005213349270864e-06, + "loss": 0.8013, + "step": 905 + }, + { + "epoch": 0.45, + "learning_rate": 5.997280464765655e-06, + "loss": 0.817, + "step": 906 + }, + { + "epoch": 0.45, + "learning_rate": 5.98934496500869e-06, + "loss": 0.7893, + "step": 907 + }, + { + "epoch": 0.45, + "learning_rate": 5.981406870809889e-06, + "loss": 0.7918, + "step": 908 + }, + { + "epoch": 0.45, + "learning_rate": 5.97346620298598e-06, + "loss": 0.7996, + "step": 909 + }, + { + "epoch": 0.46, + "learning_rate": 5.965522982360441e-06, + "loss": 0.7955, + "step": 910 + }, + { + "epoch": 0.46, + "learning_rate": 5.957577229763438e-06, + "loss": 0.7983, + "step": 911 + }, + { + "epoch": 0.46, + "learning_rate": 5.949628966031785e-06, + "loss": 0.7995, + "step": 912 + }, + { + "epoch": 0.46, + "learning_rate": 5.941678212008875e-06, + "loss": 0.8007, + "step": 913 + }, + { + "epoch": 0.46, + "learning_rate": 5.933724988544632e-06, + "loss": 0.7905, + "step": 914 + }, + { + "epoch": 0.46, + "learning_rate": 5.925769316495461e-06, + "loss": 0.7931, + "step": 915 + }, + { + "epoch": 0.46, + "learning_rate": 5.9178112167241805e-06, + "loss": 0.7902, + "step": 916 + }, + { + "epoch": 0.46, + "learning_rate": 5.909850710099985e-06, + "loss": 0.7933, + "step": 917 + }, + { + "epoch": 0.46, + "learning_rate": 5.9018878174983674e-06, + "loss": 0.7962, + "step": 918 + }, + { + "epoch": 0.46, + "learning_rate": 5.893922559801092e-06, + "loss": 0.7993, + "step": 919 + }, + { + "epoch": 0.46, + "learning_rate": 5.885954957896115e-06, + "loss": 0.7864, + "step": 920 + }, + { + "epoch": 0.46, + "learning_rate": 5.8779850326775436e-06, + "loss": 0.7913, + "step": 921 + }, + { + "epoch": 0.46, + "learning_rate": 5.87001280504558e-06, + "loss": 0.8036, + "step": 922 + }, + { + "epoch": 0.46, + "learning_rate": 5.8620382959064596e-06, + "loss": 0.787, + "step": 923 + }, + { + "epoch": 0.46, + "learning_rate": 5.854061526172402e-06, + "loss": 0.8044, + "step": 924 + }, + { + "epoch": 0.46, + "learning_rate": 5.846082516761558e-06, + "loss": 0.7853, + "step": 925 + }, + { + "epoch": 0.46, + "learning_rate": 5.838101288597951e-06, + "loss": 0.8018, + "step": 926 + }, + { + "epoch": 0.46, + "learning_rate": 5.830117862611417e-06, + "loss": 0.8068, + "step": 927 + }, + { + "epoch": 0.46, + "learning_rate": 5.822132259737565e-06, + "loss": 0.7991, + "step": 928 + }, + { + "epoch": 0.46, + "learning_rate": 5.814144500917703e-06, + "loss": 0.7922, + "step": 929 + }, + { + "epoch": 0.47, + "learning_rate": 5.806154607098799e-06, + "loss": 0.7981, + "step": 930 + }, + { + "epoch": 0.47, + "learning_rate": 5.7981625992334205e-06, + "loss": 0.7954, + "step": 931 + }, + { + "epoch": 0.47, + "learning_rate": 5.7901684982796716e-06, + "loss": 0.8054, + "step": 932 + }, + { + "epoch": 0.47, + "learning_rate": 5.782172325201155e-06, + "loss": 0.7831, + "step": 933 + }, + { + "epoch": 0.47, + "learning_rate": 5.774174100966899e-06, + "loss": 0.805, + "step": 934 + }, + { + "epoch": 0.47, + "learning_rate": 5.766173846551316e-06, + "loss": 0.7958, + "step": 935 + }, + { + "epoch": 0.47, + "learning_rate": 5.75817158293414e-06, + "loss": 0.788, + "step": 936 + }, + { + "epoch": 0.47, + "learning_rate": 5.750167331100375e-06, + "loss": 0.7905, + "step": 937 + }, + { + "epoch": 0.47, + "learning_rate": 5.742161112040237e-06, + "loss": 0.7906, + "step": 938 + }, + { + "epoch": 0.47, + "learning_rate": 5.734152946749102e-06, + "loss": 0.8046, + "step": 939 + }, + { + "epoch": 0.47, + "learning_rate": 5.726142856227453e-06, + "loss": 0.7968, + "step": 940 + }, + { + "epoch": 0.47, + "learning_rate": 5.7181308614808136e-06, + "loss": 0.793, + "step": 941 + }, + { + "epoch": 0.47, + "learning_rate": 5.7101169835197115e-06, + "loss": 0.8038, + "step": 942 + }, + { + "epoch": 0.47, + "learning_rate": 5.702101243359602e-06, + "loss": 0.7881, + "step": 943 + }, + { + "epoch": 0.47, + "learning_rate": 5.694083662020835e-06, + "loss": 0.7976, + "step": 944 + }, + { + "epoch": 0.47, + "learning_rate": 5.686064260528577e-06, + "loss": 0.7892, + "step": 945 + }, + { + "epoch": 0.47, + "learning_rate": 5.678043059912776e-06, + "loss": 0.7861, + "step": 946 + }, + { + "epoch": 0.47, + "learning_rate": 5.6700200812080984e-06, + "loss": 0.7892, + "step": 947 + }, + { + "epoch": 0.47, + "learning_rate": 5.661995345453867e-06, + "loss": 0.8029, + "step": 948 + }, + { + "epoch": 0.47, + "learning_rate": 5.653968873694017e-06, + "loss": 0.782, + "step": 949 + }, + { + "epoch": 0.47, + "learning_rate": 5.645940686977033e-06, + "loss": 0.7925, + "step": 950 + }, + { + "epoch": 0.48, + "learning_rate": 5.6379108063559015e-06, + "loss": 0.7915, + "step": 951 + }, + { + "epoch": 0.48, + "learning_rate": 5.629879252888046e-06, + "loss": 0.8032, + "step": 952 + }, + { + "epoch": 0.48, + "learning_rate": 5.621846047635282e-06, + "loss": 0.7939, + "step": 953 + }, + { + "epoch": 0.48, + "learning_rate": 5.613811211663751e-06, + "loss": 0.7964, + "step": 954 + }, + { + "epoch": 0.48, + "learning_rate": 5.6057747660438745e-06, + "loss": 0.7951, + "step": 955 + }, + { + "epoch": 0.48, + "learning_rate": 5.597736731850295e-06, + "loss": 0.793, + "step": 956 + }, + { + "epoch": 0.48, + "learning_rate": 5.589697130161819e-06, + "loss": 0.7921, + "step": 957 + }, + { + "epoch": 0.48, + "learning_rate": 5.581655982061367e-06, + "loss": 0.7786, + "step": 958 + }, + { + "epoch": 0.48, + "learning_rate": 5.57361330863591e-06, + "loss": 0.7925, + "step": 959 + }, + { + "epoch": 0.48, + "learning_rate": 5.5655691309764225e-06, + "loss": 0.797, + "step": 960 + }, + { + "epoch": 0.48, + "learning_rate": 5.557523470177821e-06, + "loss": 0.7994, + "step": 961 + }, + { + "epoch": 0.48, + "learning_rate": 5.549476347338915e-06, + "loss": 0.7956, + "step": 962 + }, + { + "epoch": 0.48, + "learning_rate": 5.5414277835623465e-06, + "loss": 0.801, + "step": 963 + }, + { + "epoch": 0.48, + "learning_rate": 5.533377799954532e-06, + "loss": 0.8043, + "step": 964 + }, + { + "epoch": 0.48, + "learning_rate": 5.52532641762562e-06, + "loss": 0.7994, + "step": 965 + }, + { + "epoch": 0.48, + "learning_rate": 5.517273657689419e-06, + "loss": 0.7992, + "step": 966 + }, + { + "epoch": 0.48, + "learning_rate": 5.509219541263355e-06, + "loss": 0.8041, + "step": 967 + }, + { + "epoch": 0.48, + "learning_rate": 5.501164089468406e-06, + "loss": 0.8005, + "step": 968 + }, + { + "epoch": 0.48, + "learning_rate": 5.493107323429057e-06, + "loss": 0.8075, + "step": 969 + }, + { + "epoch": 0.48, + "learning_rate": 5.485049264273241e-06, + "loss": 0.8074, + "step": 970 + }, + { + "epoch": 0.49, + "learning_rate": 5.476989933132274e-06, + "loss": 0.799, + "step": 971 + }, + { + "epoch": 0.49, + "learning_rate": 5.4689293511408155e-06, + "loss": 0.8019, + "step": 972 + }, + { + "epoch": 0.49, + "learning_rate": 5.460867539436799e-06, + "loss": 0.789, + "step": 973 + }, + { + "epoch": 0.49, + "learning_rate": 5.45280451916139e-06, + "loss": 0.7902, + "step": 974 + }, + { + "epoch": 0.49, + "learning_rate": 5.444740311458915e-06, + "loss": 0.7939, + "step": 975 + }, + { + "epoch": 0.49, + "learning_rate": 5.43667493747682e-06, + "loss": 0.7935, + "step": 976 + }, + { + "epoch": 0.49, + "learning_rate": 5.428608418365611e-06, + "loss": 0.8011, + "step": 977 + }, + { + "epoch": 0.49, + "learning_rate": 5.4205407752787884e-06, + "loss": 0.8028, + "step": 978 + }, + { + "epoch": 0.49, + "learning_rate": 5.412472029372812e-06, + "loss": 0.8042, + "step": 979 + }, + { + "epoch": 0.49, + "learning_rate": 5.404402201807022e-06, + "loss": 0.789, + "step": 980 + }, + { + "epoch": 0.49, + "learning_rate": 5.396331313743603e-06, + "loss": 0.7917, + "step": 981 + }, + { + "epoch": 0.49, + "learning_rate": 5.388259386347518e-06, + "loss": 0.7991, + "step": 982 + }, + { + "epoch": 0.49, + "learning_rate": 5.380186440786452e-06, + "loss": 0.8002, + "step": 983 + }, + { + "epoch": 0.49, + "learning_rate": 5.372112498230771e-06, + "loss": 0.7824, + "step": 984 + }, + { + "epoch": 0.49, + "learning_rate": 5.364037579853441e-06, + "loss": 0.7994, + "step": 985 + }, + { + "epoch": 0.49, + "learning_rate": 5.355961706829997e-06, + "loss": 0.8024, + "step": 986 + }, + { + "epoch": 0.49, + "learning_rate": 5.347884900338475e-06, + "loss": 0.7999, + "step": 987 + }, + { + "epoch": 0.49, + "learning_rate": 5.339807181559359e-06, + "loss": 0.8051, + "step": 988 + }, + { + "epoch": 0.49, + "learning_rate": 5.331728571675522e-06, + "loss": 0.7973, + "step": 989 + }, + { + "epoch": 0.49, + "learning_rate": 5.323649091872179e-06, + "loss": 0.7908, + "step": 990 + }, + { + "epoch": 0.5, + "learning_rate": 5.315568763336823e-06, + "loss": 0.79, + "step": 991 + }, + { + "epoch": 0.5, + "learning_rate": 5.307487607259175e-06, + "loss": 0.7912, + "step": 992 + }, + { + "epoch": 0.5, + "learning_rate": 5.299405644831122e-06, + "loss": 0.7973, + "step": 993 + }, + { + "epoch": 0.5, + "learning_rate": 5.291322897246669e-06, + "loss": 0.7882, + "step": 994 + }, + { + "epoch": 0.5, + "learning_rate": 5.283239385701882e-06, + "loss": 0.8051, + "step": 995 + }, + { + "epoch": 0.5, + "learning_rate": 5.275155131394825e-06, + "loss": 0.8001, + "step": 996 + }, + { + "epoch": 0.5, + "learning_rate": 5.267070155525513e-06, + "loss": 0.7981, + "step": 997 + }, + { + "epoch": 0.5, + "learning_rate": 5.258984479295853e-06, + "loss": 0.776, + "step": 998 + }, + { + "epoch": 0.5, + "learning_rate": 5.250898123909588e-06, + "loss": 0.7869, + "step": 999 + }, + { + "epoch": 0.5, + "learning_rate": 5.242811110572243e-06, + "loss": 0.7871, + "step": 1000 + }, + { + "epoch": 0.5, + "learning_rate": 5.234723460491065e-06, + "loss": 0.7965, + "step": 1001 + }, + { + "epoch": 0.5, + "learning_rate": 5.226635194874978e-06, + "loss": 0.7996, + "step": 1002 + }, + { + "epoch": 0.5, + "learning_rate": 5.218546334934513e-06, + "loss": 0.805, + "step": 1003 + }, + { + "epoch": 0.5, + "learning_rate": 5.210456901881761e-06, + "loss": 0.7967, + "step": 1004 + }, + { + "epoch": 0.5, + "learning_rate": 5.202366916930319e-06, + "loss": 0.7816, + "step": 1005 + }, + { + "epoch": 0.5, + "learning_rate": 5.194276401295231e-06, + "loss": 0.7863, + "step": 1006 + }, + { + "epoch": 0.5, + "learning_rate": 5.186185376192927e-06, + "loss": 0.7987, + "step": 1007 + }, + { + "epoch": 0.5, + "learning_rate": 5.1780938628411795e-06, + "loss": 0.7951, + "step": 1008 + }, + { + "epoch": 0.5, + "learning_rate": 5.170001882459039e-06, + "loss": 0.7848, + "step": 1009 + }, + { + "epoch": 0.51, + "learning_rate": 5.161909456266781e-06, + "loss": 0.8035, + "step": 1010 + }, + { + "epoch": 0.51, + "learning_rate": 5.1538166054858485e-06, + "loss": 0.782, + "step": 1011 + }, + { + "epoch": 0.51, + "learning_rate": 5.145723351338799e-06, + "loss": 0.8002, + "step": 1012 + }, + { + "epoch": 0.51, + "learning_rate": 5.137629715049251e-06, + "loss": 0.797, + "step": 1013 + }, + { + "epoch": 0.51, + "learning_rate": 5.129535717841818e-06, + "loss": 0.7976, + "step": 1014 + }, + { + "epoch": 0.51, + "learning_rate": 5.121441380942066e-06, + "loss": 0.8054, + "step": 1015 + }, + { + "epoch": 0.51, + "learning_rate": 5.11334672557645e-06, + "loss": 0.801, + "step": 1016 + }, + { + "epoch": 0.51, + "learning_rate": 5.105251772972261e-06, + "loss": 0.7874, + "step": 1017 + }, + { + "epoch": 0.51, + "learning_rate": 5.097156544357567e-06, + "loss": 0.7917, + "step": 1018 + }, + { + "epoch": 0.51, + "learning_rate": 5.089061060961162e-06, + "loss": 0.8093, + "step": 1019 + }, + { + "epoch": 0.51, + "learning_rate": 5.080965344012509e-06, + "loss": 0.7819, + "step": 1020 + }, + { + "epoch": 0.51, + "learning_rate": 5.072869414741677e-06, + "loss": 0.7834, + "step": 1021 + }, + { + "epoch": 0.51, + "learning_rate": 5.064773294379302e-06, + "loss": 0.7793, + "step": 1022 + }, + { + "epoch": 0.51, + "learning_rate": 5.0566770041565124e-06, + "loss": 0.798, + "step": 1023 + }, + { + "epoch": 0.51, + "learning_rate": 5.048580565304887e-06, + "loss": 0.7848, + "step": 1024 + }, + { + "epoch": 0.51, + "learning_rate": 5.040483999056393e-06, + "loss": 0.7959, + "step": 1025 + }, + { + "epoch": 0.51, + "learning_rate": 5.032387326643331e-06, + "loss": 0.7923, + "step": 1026 + }, + { + "epoch": 0.51, + "learning_rate": 5.024290569298281e-06, + "loss": 0.7826, + "step": 1027 + }, + { + "epoch": 0.51, + "learning_rate": 5.016193748254045e-06, + "loss": 0.8006, + "step": 1028 + }, + { + "epoch": 0.51, + "learning_rate": 5.00809688474359e-06, + "loss": 0.7941, + "step": 1029 + }, + { + "epoch": 0.52, + "learning_rate": 5e-06, + "loss": 0.7951, + "step": 1030 + }, + { + "epoch": 0.52, + "learning_rate": 4.99190311525641e-06, + "loss": 0.7794, + "step": 1031 + }, + { + "epoch": 0.52, + "learning_rate": 4.983806251745958e-06, + "loss": 0.7902, + "step": 1032 + }, + { + "epoch": 0.52, + "learning_rate": 4.97570943070172e-06, + "loss": 0.7942, + "step": 1033 + }, + { + "epoch": 0.52, + "learning_rate": 4.9676126733566705e-06, + "loss": 0.8032, + "step": 1034 + }, + { + "epoch": 0.52, + "learning_rate": 4.9595160009436075e-06, + "loss": 0.802, + "step": 1035 + }, + { + "epoch": 0.52, + "learning_rate": 4.951419434695115e-06, + "loss": 0.792, + "step": 1036 + }, + { + "epoch": 0.52, + "learning_rate": 4.943322995843488e-06, + "loss": 0.7967, + "step": 1037 + }, + { + "epoch": 0.52, + "learning_rate": 4.935226705620699e-06, + "loss": 0.7949, + "step": 1038 + }, + { + "epoch": 0.52, + "learning_rate": 4.927130585258324e-06, + "loss": 0.8017, + "step": 1039 + }, + { + "epoch": 0.52, + "learning_rate": 4.919034655987493e-06, + "loss": 0.793, + "step": 1040 + }, + { + "epoch": 0.52, + "learning_rate": 4.910938939038839e-06, + "loss": 0.7864, + "step": 1041 + }, + { + "epoch": 0.52, + "learning_rate": 4.9028434556424335e-06, + "loss": 0.7924, + "step": 1042 + }, + { + "epoch": 0.52, + "learning_rate": 4.894748227027741e-06, + "loss": 0.8013, + "step": 1043 + }, + { + "epoch": 0.52, + "learning_rate": 4.886653274423551e-06, + "loss": 0.787, + "step": 1044 + }, + { + "epoch": 0.52, + "learning_rate": 4.8785586190579355e-06, + "loss": 0.7918, + "step": 1045 + }, + { + "epoch": 0.52, + "learning_rate": 4.870464282158184e-06, + "loss": 0.7873, + "step": 1046 + }, + { + "epoch": 0.52, + "learning_rate": 4.862370284950752e-06, + "loss": 0.7992, + "step": 1047 + }, + { + "epoch": 0.52, + "learning_rate": 4.8542766486612035e-06, + "loss": 0.7756, + "step": 1048 + }, + { + "epoch": 0.52, + "learning_rate": 4.846183394514154e-06, + "loss": 0.7918, + "step": 1049 + }, + { + "epoch": 0.53, + "learning_rate": 4.838090543733222e-06, + "loss": 0.7986, + "step": 1050 + }, + { + "epoch": 0.53, + "learning_rate": 4.829998117540963e-06, + "loss": 0.7937, + "step": 1051 + }, + { + "epoch": 0.53, + "learning_rate": 4.821906137158822e-06, + "loss": 0.7963, + "step": 1052 + }, + { + "epoch": 0.53, + "learning_rate": 4.813814623807076e-06, + "loss": 0.7978, + "step": 1053 + }, + { + "epoch": 0.53, + "learning_rate": 4.805723598704772e-06, + "loss": 0.782, + "step": 1054 + }, + { + "epoch": 0.53, + "learning_rate": 4.797633083069683e-06, + "loss": 0.7878, + "step": 1055 + }, + { + "epoch": 0.53, + "learning_rate": 4.7895430981182415e-06, + "loss": 0.7949, + "step": 1056 + }, + { + "epoch": 0.53, + "learning_rate": 4.781453665065491e-06, + "loss": 0.7882, + "step": 1057 + }, + { + "epoch": 0.53, + "learning_rate": 4.773364805125025e-06, + "loss": 0.7912, + "step": 1058 + }, + { + "epoch": 0.53, + "learning_rate": 4.765276539508936e-06, + "loss": 0.7878, + "step": 1059 + }, + { + "epoch": 0.53, + "learning_rate": 4.757188889427761e-06, + "loss": 0.8024, + "step": 1060 + }, + { + "epoch": 0.53, + "learning_rate": 4.749101876090414e-06, + "loss": 0.7922, + "step": 1061 + }, + { + "epoch": 0.53, + "learning_rate": 4.741015520704148e-06, + "loss": 0.7993, + "step": 1062 + }, + { + "epoch": 0.53, + "learning_rate": 4.732929844474489e-06, + "loss": 0.7865, + "step": 1063 + }, + { + "epoch": 0.53, + "learning_rate": 4.724844868605176e-06, + "loss": 0.7978, + "step": 1064 + }, + { + "epoch": 0.53, + "learning_rate": 4.716760614298118e-06, + "loss": 0.788, + "step": 1065 + }, + { + "epoch": 0.53, + "learning_rate": 4.708677102753331e-06, + "loss": 0.7953, + "step": 1066 + }, + { + "epoch": 0.53, + "learning_rate": 4.700594355168878e-06, + "loss": 0.8057, + "step": 1067 + }, + { + "epoch": 0.53, + "learning_rate": 4.6925123927408265e-06, + "loss": 0.7909, + "step": 1068 + }, + { + "epoch": 0.53, + "learning_rate": 4.6844312366631775e-06, + "loss": 0.7896, + "step": 1069 + }, + { + "epoch": 0.54, + "learning_rate": 4.6763509081278215e-06, + "loss": 0.802, + "step": 1070 + }, + { + "epoch": 0.54, + "learning_rate": 4.668271428324479e-06, + "loss": 0.7821, + "step": 1071 + }, + { + "epoch": 0.54, + "learning_rate": 4.660192818440642e-06, + "loss": 0.7827, + "step": 1072 + }, + { + "epoch": 0.54, + "learning_rate": 4.652115099661525e-06, + "loss": 0.7894, + "step": 1073 + }, + { + "epoch": 0.54, + "learning_rate": 4.644038293170003e-06, + "loss": 0.796, + "step": 1074 + }, + { + "epoch": 0.54, + "learning_rate": 4.63596242014656e-06, + "loss": 0.7898, + "step": 1075 + }, + { + "epoch": 0.54, + "learning_rate": 4.627887501769231e-06, + "loss": 0.7989, + "step": 1076 + }, + { + "epoch": 0.54, + "learning_rate": 4.619813559213549e-06, + "loss": 0.8079, + "step": 1077 + }, + { + "epoch": 0.54, + "learning_rate": 4.611740613652485e-06, + "loss": 0.7829, + "step": 1078 + }, + { + "epoch": 0.54, + "learning_rate": 4.603668686256398e-06, + "loss": 0.7925, + "step": 1079 + }, + { + "epoch": 0.54, + "learning_rate": 4.59559779819298e-06, + "loss": 0.7851, + "step": 1080 + }, + { + "epoch": 0.54, + "learning_rate": 4.58752797062719e-06, + "loss": 0.8047, + "step": 1081 + }, + { + "epoch": 0.54, + "learning_rate": 4.579459224721212e-06, + "loss": 0.7769, + "step": 1082 + }, + { + "epoch": 0.54, + "learning_rate": 4.571391581634391e-06, + "loss": 0.7994, + "step": 1083 + }, + { + "epoch": 0.54, + "learning_rate": 4.5633250625231806e-06, + "loss": 0.7893, + "step": 1084 + }, + { + "epoch": 0.54, + "learning_rate": 4.555259688541087e-06, + "loss": 0.7982, + "step": 1085 + }, + { + "epoch": 0.54, + "learning_rate": 4.547195480838612e-06, + "loss": 0.7999, + "step": 1086 + }, + { + "epoch": 0.54, + "learning_rate": 4.539132460563202e-06, + "loss": 0.7734, + "step": 1087 + }, + { + "epoch": 0.54, + "learning_rate": 4.531070648859186e-06, + "loss": 0.7963, + "step": 1088 + }, + { + "epoch": 0.54, + "learning_rate": 4.523010066867727e-06, + "loss": 0.8027, + "step": 1089 + }, + { + "epoch": 0.55, + "learning_rate": 4.51495073572676e-06, + "loss": 0.7986, + "step": 1090 + }, + { + "epoch": 0.55, + "learning_rate": 4.5068926765709435e-06, + "loss": 0.7755, + "step": 1091 + }, + { + "epoch": 0.55, + "learning_rate": 4.498835910531595e-06, + "loss": 0.7901, + "step": 1092 + }, + { + "epoch": 0.55, + "learning_rate": 4.490780458736646e-06, + "loss": 0.7991, + "step": 1093 + }, + { + "epoch": 0.55, + "learning_rate": 4.482726342310582e-06, + "loss": 0.7979, + "step": 1094 + }, + { + "epoch": 0.55, + "learning_rate": 4.474673582374381e-06, + "loss": 0.7879, + "step": 1095 + }, + { + "epoch": 0.55, + "learning_rate": 4.4666222000454685e-06, + "loss": 0.7827, + "step": 1096 + }, + { + "epoch": 0.55, + "learning_rate": 4.458572216437655e-06, + "loss": 0.7989, + "step": 1097 + }, + { + "epoch": 0.55, + "learning_rate": 4.450523652661086e-06, + "loss": 0.791, + "step": 1098 + }, + { + "epoch": 0.55, + "learning_rate": 4.44247652982218e-06, + "loss": 0.7966, + "step": 1099 + }, + { + "epoch": 0.55, + "learning_rate": 4.434430869023579e-06, + "loss": 0.7984, + "step": 1100 + }, + { + "epoch": 0.55, + "learning_rate": 4.426386691364092e-06, + "loss": 0.7983, + "step": 1101 + }, + { + "epoch": 0.55, + "learning_rate": 4.418344017938634e-06, + "loss": 0.8067, + "step": 1102 + }, + { + "epoch": 0.55, + "learning_rate": 4.4103028698381815e-06, + "loss": 0.7854, + "step": 1103 + }, + { + "epoch": 0.55, + "learning_rate": 4.402263268149707e-06, + "loss": 0.7937, + "step": 1104 + }, + { + "epoch": 0.55, + "learning_rate": 4.394225233956127e-06, + "loss": 0.7874, + "step": 1105 + }, + { + "epoch": 0.55, + "learning_rate": 4.386188788336251e-06, + "loss": 0.8001, + "step": 1106 + }, + { + "epoch": 0.55, + "learning_rate": 4.37815395236472e-06, + "loss": 0.7931, + "step": 1107 + }, + { + "epoch": 0.55, + "learning_rate": 4.370120747111956e-06, + "loss": 0.7955, + "step": 1108 + }, + { + "epoch": 0.55, + "learning_rate": 4.362089193644101e-06, + "loss": 0.794, + "step": 1109 + }, + { + "epoch": 0.56, + "learning_rate": 4.3540593130229695e-06, + "loss": 0.7894, + "step": 1110 + }, + { + "epoch": 0.56, + "learning_rate": 4.3460311263059864e-06, + "loss": 0.7915, + "step": 1111 + }, + { + "epoch": 0.56, + "learning_rate": 4.338004654546136e-06, + "loss": 0.7898, + "step": 1112 + }, + { + "epoch": 0.56, + "learning_rate": 4.329979918791904e-06, + "loss": 0.7969, + "step": 1113 + }, + { + "epoch": 0.56, + "learning_rate": 4.3219569400872244e-06, + "loss": 0.7888, + "step": 1114 + }, + { + "epoch": 0.56, + "learning_rate": 4.313935739471425e-06, + "loss": 0.7912, + "step": 1115 + }, + { + "epoch": 0.56, + "learning_rate": 4.3059163379791676e-06, + "loss": 0.7831, + "step": 1116 + }, + { + "epoch": 0.56, + "learning_rate": 4.297898756640399e-06, + "loss": 0.794, + "step": 1117 + }, + { + "epoch": 0.56, + "learning_rate": 4.289883016480291e-06, + "loss": 0.7816, + "step": 1118 + }, + { + "epoch": 0.56, + "learning_rate": 4.281869138519188e-06, + "loss": 0.7904, + "step": 1119 + }, + { + "epoch": 0.56, + "learning_rate": 4.27385714377255e-06, + "loss": 0.7961, + "step": 1120 + }, + { + "epoch": 0.56, + "learning_rate": 4.265847053250898e-06, + "loss": 0.7905, + "step": 1121 + }, + { + "epoch": 0.56, + "learning_rate": 4.257838887959764e-06, + "loss": 0.7941, + "step": 1122 + }, + { + "epoch": 0.56, + "learning_rate": 4.249832668899627e-06, + "loss": 0.79, + "step": 1123 + }, + { + "epoch": 0.56, + "learning_rate": 4.24182841706586e-06, + "loss": 0.7837, + "step": 1124 + }, + { + "epoch": 0.56, + "learning_rate": 4.233826153448685e-06, + "loss": 0.7918, + "step": 1125 + }, + { + "epoch": 0.56, + "learning_rate": 4.2258258990331015e-06, + "loss": 0.7826, + "step": 1126 + }, + { + "epoch": 0.56, + "learning_rate": 4.217827674798845e-06, + "loss": 0.7955, + "step": 1127 + }, + { + "epoch": 0.56, + "learning_rate": 4.209831501720328e-06, + "loss": 0.7918, + "step": 1128 + }, + { + "epoch": 0.56, + "learning_rate": 4.20183740076658e-06, + "loss": 0.7952, + "step": 1129 + }, + { + "epoch": 0.56, + "learning_rate": 4.1938453929012014e-06, + "loss": 0.7858, + "step": 1130 + }, + { + "epoch": 0.57, + "learning_rate": 4.185855499082297e-06, + "loss": 0.7921, + "step": 1131 + }, + { + "epoch": 0.57, + "learning_rate": 4.177867740262437e-06, + "loss": 0.7943, + "step": 1132 + }, + { + "epoch": 0.57, + "learning_rate": 4.169882137388583e-06, + "loss": 0.781, + "step": 1133 + }, + { + "epoch": 0.57, + "learning_rate": 4.16189871140205e-06, + "loss": 0.7975, + "step": 1134 + }, + { + "epoch": 0.57, + "learning_rate": 4.1539174832384425e-06, + "loss": 0.7832, + "step": 1135 + }, + { + "epoch": 0.57, + "learning_rate": 4.145938473827598e-06, + "loss": 0.7875, + "step": 1136 + }, + { + "epoch": 0.57, + "learning_rate": 4.137961704093543e-06, + "loss": 0.7849, + "step": 1137 + }, + { + "epoch": 0.57, + "learning_rate": 4.129987194954421e-06, + "loss": 0.7929, + "step": 1138 + }, + { + "epoch": 0.57, + "learning_rate": 4.122014967322458e-06, + "loss": 0.7947, + "step": 1139 + }, + { + "epoch": 0.57, + "learning_rate": 4.1140450421038865e-06, + "loss": 0.7917, + "step": 1140 + }, + { + "epoch": 0.57, + "learning_rate": 4.106077440198909e-06, + "loss": 0.7961, + "step": 1141 + }, + { + "epoch": 0.57, + "learning_rate": 4.098112182501633e-06, + "loss": 0.7913, + "step": 1142 + }, + { + "epoch": 0.57, + "learning_rate": 4.090149289900017e-06, + "loss": 0.794, + "step": 1143 + }, + { + "epoch": 0.57, + "learning_rate": 4.08218878327582e-06, + "loss": 0.789, + "step": 1144 + }, + { + "epoch": 0.57, + "learning_rate": 4.074230683504541e-06, + "loss": 0.7774, + "step": 1145 + }, + { + "epoch": 0.57, + "learning_rate": 4.066275011455369e-06, + "loss": 0.7805, + "step": 1146 + }, + { + "epoch": 0.57, + "learning_rate": 4.058321787991127e-06, + "loss": 0.7888, + "step": 1147 + }, + { + "epoch": 0.57, + "learning_rate": 4.050371033968216e-06, + "loss": 0.794, + "step": 1148 + }, + { + "epoch": 0.57, + "learning_rate": 4.0424227702365634e-06, + "loss": 0.7909, + "step": 1149 + }, + { + "epoch": 0.57, + "learning_rate": 4.034477017639561e-06, + "loss": 0.788, + "step": 1150 + }, + { + "epoch": 0.58, + "learning_rate": 4.026533797014022e-06, + "loss": 0.7847, + "step": 1151 + }, + { + "epoch": 0.58, + "learning_rate": 4.018593129190113e-06, + "loss": 0.7767, + "step": 1152 + }, + { + "epoch": 0.58, + "learning_rate": 4.010655034991312e-06, + "loss": 0.7878, + "step": 1153 + }, + { + "epoch": 0.58, + "learning_rate": 4.002719535234346e-06, + "loss": 0.8035, + "step": 1154 + }, + { + "epoch": 0.58, + "learning_rate": 3.994786650729137e-06, + "loss": 0.7951, + "step": 1155 + }, + { + "epoch": 0.58, + "learning_rate": 3.98685640227875e-06, + "loss": 0.7891, + "step": 1156 + }, + { + "epoch": 0.58, + "learning_rate": 3.978928810679337e-06, + "loss": 0.7826, + "step": 1157 + }, + { + "epoch": 0.58, + "learning_rate": 3.9710038967200825e-06, + "loss": 0.809, + "step": 1158 + }, + { + "epoch": 0.58, + "learning_rate": 3.96308168118315e-06, + "loss": 0.7932, + "step": 1159 + }, + { + "epoch": 0.58, + "learning_rate": 3.955162184843625e-06, + "loss": 0.7922, + "step": 1160 + }, + { + "epoch": 0.58, + "learning_rate": 3.947245428469466e-06, + "loss": 0.7951, + "step": 1161 + }, + { + "epoch": 0.58, + "learning_rate": 3.93933143282144e-06, + "loss": 0.7829, + "step": 1162 + }, + { + "epoch": 0.58, + "learning_rate": 3.931420218653082e-06, + "loss": 0.7782, + "step": 1163 + }, + { + "epoch": 0.58, + "learning_rate": 3.9235118067106255e-06, + "loss": 0.786, + "step": 1164 + }, + { + "epoch": 0.58, + "learning_rate": 3.9156062177329624e-06, + "loss": 0.785, + "step": 1165 + }, + { + "epoch": 0.58, + "learning_rate": 3.907703472451574e-06, + "loss": 0.7973, + "step": 1166 + }, + { + "epoch": 0.58, + "learning_rate": 3.899803591590491e-06, + "loss": 0.8005, + "step": 1167 + }, + { + "epoch": 0.58, + "learning_rate": 3.89190659586623e-06, + "loss": 0.7849, + "step": 1168 + }, + { + "epoch": 0.58, + "learning_rate": 3.884012505987741e-06, + "loss": 0.7842, + "step": 1169 + }, + { + "epoch": 0.58, + "learning_rate": 3.8761213426563546e-06, + "loss": 0.7651, + "step": 1170 + }, + { + "epoch": 0.59, + "learning_rate": 3.8682331265657254e-06, + "loss": 0.7865, + "step": 1171 + }, + { + "epoch": 0.59, + "learning_rate": 3.8603478784017845e-06, + "loss": 0.7927, + "step": 1172 + }, + { + "epoch": 0.59, + "learning_rate": 3.852465618842671e-06, + "loss": 0.7782, + "step": 1173 + }, + { + "epoch": 0.59, + "learning_rate": 3.8445863685586946e-06, + "loss": 0.787, + "step": 1174 + }, + { + "epoch": 0.59, + "learning_rate": 3.836710148212271e-06, + "loss": 0.7933, + "step": 1175 + }, + { + "epoch": 0.59, + "learning_rate": 3.828836978457868e-06, + "loss": 0.7922, + "step": 1176 + }, + { + "epoch": 0.59, + "learning_rate": 3.820966879941957e-06, + "loss": 0.7859, + "step": 1177 + }, + { + "epoch": 0.59, + "learning_rate": 3.8130998733029517e-06, + "loss": 0.7917, + "step": 1178 + }, + { + "epoch": 0.59, + "learning_rate": 3.805235979171163e-06, + "loss": 0.7781, + "step": 1179 + }, + { + "epoch": 0.59, + "learning_rate": 3.7973752181687336e-06, + "loss": 0.7856, + "step": 1180 + }, + { + "epoch": 0.59, + "learning_rate": 3.789517610909594e-06, + "loss": 0.7967, + "step": 1181 + }, + { + "epoch": 0.59, + "learning_rate": 3.7816631779994018e-06, + "loss": 0.7911, + "step": 1182 + }, + { + "epoch": 0.59, + "learning_rate": 3.773811940035496e-06, + "loss": 0.7891, + "step": 1183 + }, + { + "epoch": 0.59, + "learning_rate": 3.7659639176068287e-06, + "loss": 0.7916, + "step": 1184 + }, + { + "epoch": 0.59, + "learning_rate": 3.7581191312939256e-06, + "loss": 0.7854, + "step": 1185 + }, + { + "epoch": 0.59, + "learning_rate": 3.7502776016688234e-06, + "loss": 0.7999, + "step": 1186 + }, + { + "epoch": 0.59, + "learning_rate": 3.74243934929502e-06, + "loss": 0.782, + "step": 1187 + }, + { + "epoch": 0.59, + "learning_rate": 3.734604394727419e-06, + "loss": 0.7952, + "step": 1188 + }, + { + "epoch": 0.59, + "learning_rate": 3.7267727585122738e-06, + "loss": 0.786, + "step": 1189 + }, + { + "epoch": 0.59, + "learning_rate": 3.7189444611871383e-06, + "loss": 0.7914, + "step": 1190 + }, + { + "epoch": 0.6, + "learning_rate": 3.7111195232808093e-06, + "loss": 0.7856, + "step": 1191 + }, + { + "epoch": 0.6, + "learning_rate": 3.703297965313275e-06, + "loss": 0.7854, + "step": 1192 + }, + { + "epoch": 0.6, + "learning_rate": 3.6954798077956576e-06, + "loss": 0.7914, + "step": 1193 + }, + { + "epoch": 0.6, + "learning_rate": 3.6876650712301654e-06, + "loss": 0.7997, + "step": 1194 + }, + { + "epoch": 0.6, + "learning_rate": 3.679853776110035e-06, + "loss": 0.7941, + "step": 1195 + }, + { + "epoch": 0.6, + "learning_rate": 3.6720459429194743e-06, + "loss": 0.7978, + "step": 1196 + }, + { + "epoch": 0.6, + "learning_rate": 3.664241592133618e-06, + "loss": 0.7916, + "step": 1197 + }, + { + "epoch": 0.6, + "learning_rate": 3.656440744218464e-06, + "loss": 0.7953, + "step": 1198 + }, + { + "epoch": 0.6, + "learning_rate": 3.6486434196308296e-06, + "loss": 0.786, + "step": 1199 + }, + { + "epoch": 0.6, + "learning_rate": 3.6408496388182857e-06, + "loss": 0.7778, + "step": 1200 + }, + { + "epoch": 0.6, + "learning_rate": 3.6330594222191172e-06, + "loss": 0.7874, + "step": 1201 + }, + { + "epoch": 0.6, + "learning_rate": 3.6252727902622575e-06, + "loss": 0.7982, + "step": 1202 + }, + { + "epoch": 0.6, + "learning_rate": 3.617489763367241e-06, + "loss": 0.7849, + "step": 1203 + }, + { + "epoch": 0.6, + "learning_rate": 3.6097103619441505e-06, + "loss": 0.7812, + "step": 1204 + }, + { + "epoch": 0.6, + "learning_rate": 3.601934606393556e-06, + "loss": 0.7961, + "step": 1205 + }, + { + "epoch": 0.6, + "learning_rate": 3.594162517106472e-06, + "loss": 0.7845, + "step": 1206 + }, + { + "epoch": 0.6, + "learning_rate": 3.5863941144642957e-06, + "loss": 0.7867, + "step": 1207 + }, + { + "epoch": 0.6, + "learning_rate": 3.578629418838757e-06, + "loss": 0.788, + "step": 1208 + }, + { + "epoch": 0.6, + "learning_rate": 3.5708684505918678e-06, + "loss": 0.7847, + "step": 1209 + }, + { + "epoch": 0.6, + "learning_rate": 3.5631112300758595e-06, + "loss": 0.7746, + "step": 1210 + }, + { + "epoch": 0.61, + "learning_rate": 3.5553577776331405e-06, + "loss": 0.786, + "step": 1211 + }, + { + "epoch": 0.61, + "learning_rate": 3.5476081135962335e-06, + "loss": 0.7925, + "step": 1212 + }, + { + "epoch": 0.61, + "learning_rate": 3.5398622582877327e-06, + "loss": 0.7787, + "step": 1213 + }, + { + "epoch": 0.61, + "learning_rate": 3.532120232020236e-06, + "loss": 0.778, + "step": 1214 + }, + { + "epoch": 0.61, + "learning_rate": 3.524382055096309e-06, + "loss": 0.7879, + "step": 1215 + }, + { + "epoch": 0.61, + "learning_rate": 3.516647747808417e-06, + "loss": 0.7852, + "step": 1216 + }, + { + "epoch": 0.61, + "learning_rate": 3.508917330438878e-06, + "loss": 0.7797, + "step": 1217 + }, + { + "epoch": 0.61, + "learning_rate": 3.5011908232598124e-06, + "loss": 0.7964, + "step": 1218 + }, + { + "epoch": 0.61, + "learning_rate": 3.4934682465330826e-06, + "loss": 0.7882, + "step": 1219 + }, + { + "epoch": 0.61, + "learning_rate": 3.4857496205102475e-06, + "loss": 0.7815, + "step": 1220 + }, + { + "epoch": 0.61, + "learning_rate": 3.4780349654325023e-06, + "loss": 0.775, + "step": 1221 + }, + { + "epoch": 0.61, + "learning_rate": 3.4703243015306314e-06, + "loss": 0.8014, + "step": 1222 + }, + { + "epoch": 0.61, + "learning_rate": 3.462617649024953e-06, + "loss": 0.7995, + "step": 1223 + }, + { + "epoch": 0.61, + "learning_rate": 3.4549150281252635e-06, + "loss": 0.7865, + "step": 1224 + }, + { + "epoch": 0.61, + "learning_rate": 3.4472164590307895e-06, + "loss": 0.7832, + "step": 1225 + }, + { + "epoch": 0.61, + "learning_rate": 3.4395219619301288e-06, + "loss": 0.7763, + "step": 1226 + }, + { + "epoch": 0.61, + "learning_rate": 3.4318315570012057e-06, + "loss": 0.7818, + "step": 1227 + }, + { + "epoch": 0.61, + "learning_rate": 3.4241452644112085e-06, + "loss": 0.7914, + "step": 1228 + }, + { + "epoch": 0.61, + "learning_rate": 3.4164631043165432e-06, + "loss": 0.7891, + "step": 1229 + }, + { + "epoch": 0.61, + "learning_rate": 3.4087850968627823e-06, + "loss": 0.7858, + "step": 1230 + }, + { + "epoch": 0.62, + "learning_rate": 3.401111262184601e-06, + "loss": 0.7898, + "step": 1231 + }, + { + "epoch": 0.62, + "learning_rate": 3.3934416204057396e-06, + "loss": 0.7873, + "step": 1232 + }, + { + "epoch": 0.62, + "learning_rate": 3.3857761916389377e-06, + "loss": 0.799, + "step": 1233 + }, + { + "epoch": 0.62, + "learning_rate": 3.3781149959858894e-06, + "loss": 0.7907, + "step": 1234 + }, + { + "epoch": 0.62, + "learning_rate": 3.370458053537186e-06, + "loss": 0.7941, + "step": 1235 + }, + { + "epoch": 0.62, + "learning_rate": 3.3628053843722674e-06, + "loss": 0.7922, + "step": 1236 + }, + { + "epoch": 0.62, + "learning_rate": 3.355157008559367e-06, + "loss": 0.7855, + "step": 1237 + }, + { + "epoch": 0.62, + "learning_rate": 3.3475129461554567e-06, + "loss": 0.7756, + "step": 1238 + }, + { + "epoch": 0.62, + "learning_rate": 3.3398732172062023e-06, + "loss": 0.7799, + "step": 1239 + }, + { + "epoch": 0.62, + "learning_rate": 3.3322378417458985e-06, + "loss": 0.7929, + "step": 1240 + }, + { + "epoch": 0.62, + "learning_rate": 3.3246068397974297e-06, + "loss": 0.8017, + "step": 1241 + }, + { + "epoch": 0.62, + "learning_rate": 3.3169802313722076e-06, + "loss": 0.7901, + "step": 1242 + }, + { + "epoch": 0.62, + "learning_rate": 3.309358036470124e-06, + "loss": 0.7856, + "step": 1243 + }, + { + "epoch": 0.62, + "learning_rate": 3.3017402750794976e-06, + "loss": 0.7825, + "step": 1244 + }, + { + "epoch": 0.62, + "learning_rate": 3.2941269671770193e-06, + "loss": 0.7848, + "step": 1245 + }, + { + "epoch": 0.62, + "learning_rate": 3.2865181327277007e-06, + "loss": 0.7859, + "step": 1246 + }, + { + "epoch": 0.62, + "learning_rate": 3.2789137916848242e-06, + "loss": 0.79, + "step": 1247 + }, + { + "epoch": 0.62, + "learning_rate": 3.271313963989886e-06, + "loss": 0.793, + "step": 1248 + }, + { + "epoch": 0.62, + "learning_rate": 3.2637186695725486e-06, + "loss": 0.7893, + "step": 1249 + }, + { + "epoch": 0.62, + "learning_rate": 3.2561279283505888e-06, + "loss": 0.7865, + "step": 1250 + }, + { + "epoch": 0.63, + "learning_rate": 3.248541760229837e-06, + "loss": 0.7942, + "step": 1251 + }, + { + "epoch": 0.63, + "learning_rate": 3.240960185104137e-06, + "loss": 0.7806, + "step": 1252 + }, + { + "epoch": 0.63, + "learning_rate": 3.233383222855284e-06, + "loss": 0.7834, + "step": 1253 + }, + { + "epoch": 0.63, + "learning_rate": 3.2258108933529808e-06, + "loss": 0.7723, + "step": 1254 + }, + { + "epoch": 0.63, + "learning_rate": 3.218243216454775e-06, + "loss": 0.7843, + "step": 1255 + }, + { + "epoch": 0.63, + "learning_rate": 3.2106802120060197e-06, + "loss": 0.7862, + "step": 1256 + }, + { + "epoch": 0.63, + "learning_rate": 3.2031218998398126e-06, + "loss": 0.7802, + "step": 1257 + }, + { + "epoch": 0.63, + "learning_rate": 3.195568299776945e-06, + "loss": 0.7827, + "step": 1258 + }, + { + "epoch": 0.63, + "learning_rate": 3.188019431625853e-06, + "loss": 0.7859, + "step": 1259 + }, + { + "epoch": 0.63, + "learning_rate": 3.180475315182563e-06, + "loss": 0.7814, + "step": 1260 + }, + { + "epoch": 0.63, + "learning_rate": 3.172935970230641e-06, + "loss": 0.7958, + "step": 1261 + }, + { + "epoch": 0.63, + "learning_rate": 3.16540141654114e-06, + "loss": 0.7704, + "step": 1262 + }, + { + "epoch": 0.63, + "learning_rate": 3.157871673872549e-06, + "loss": 0.7914, + "step": 1263 + }, + { + "epoch": 0.63, + "learning_rate": 3.1503467619707407e-06, + "loss": 0.7856, + "step": 1264 + }, + { + "epoch": 0.63, + "learning_rate": 3.1428267005689182e-06, + "loss": 0.7969, + "step": 1265 + }, + { + "epoch": 0.63, + "learning_rate": 3.1353115093875676e-06, + "loss": 0.7891, + "step": 1266 + }, + { + "epoch": 0.63, + "learning_rate": 3.1278012081343996e-06, + "loss": 0.7836, + "step": 1267 + }, + { + "epoch": 0.63, + "learning_rate": 3.1202958165043053e-06, + "loss": 0.7878, + "step": 1268 + }, + { + "epoch": 0.63, + "learning_rate": 3.112795354179298e-06, + "loss": 0.7989, + "step": 1269 + }, + { + "epoch": 0.64, + "learning_rate": 3.1052998408284664e-06, + "loss": 0.7945, + "step": 1270 + }, + { + "epoch": 0.64, + "learning_rate": 3.0978092961079222e-06, + "loss": 0.7847, + "step": 1271 + }, + { + "epoch": 0.64, + "learning_rate": 3.090323739660742e-06, + "loss": 0.7943, + "step": 1272 + }, + { + "epoch": 0.64, + "learning_rate": 3.082843191116928e-06, + "loss": 0.7787, + "step": 1273 + }, + { + "epoch": 0.64, + "learning_rate": 3.0753676700933444e-06, + "loss": 0.7702, + "step": 1274 + }, + { + "epoch": 0.64, + "learning_rate": 3.0678971961936765e-06, + "loss": 0.7849, + "step": 1275 + }, + { + "epoch": 0.64, + "learning_rate": 3.060431789008368e-06, + "loss": 0.7869, + "step": 1276 + }, + { + "epoch": 0.64, + "learning_rate": 3.0529714681145808e-06, + "loss": 0.7889, + "step": 1277 + }, + { + "epoch": 0.64, + "learning_rate": 3.045516253076137e-06, + "loss": 0.7923, + "step": 1278 + }, + { + "epoch": 0.64, + "learning_rate": 3.038066163443467e-06, + "loss": 0.8045, + "step": 1279 + }, + { + "epoch": 0.64, + "learning_rate": 3.0306212187535653e-06, + "loss": 0.7849, + "step": 1280 + }, + { + "epoch": 0.64, + "learning_rate": 3.0231814385299287e-06, + "loss": 0.7857, + "step": 1281 + }, + { + "epoch": 0.64, + "learning_rate": 3.0157468422825148e-06, + "loss": 0.7881, + "step": 1282 + }, + { + "epoch": 0.64, + "learning_rate": 3.0083174495076846e-06, + "loss": 0.7819, + "step": 1283 + }, + { + "epoch": 0.64, + "learning_rate": 3.000893279688155e-06, + "loss": 0.7956, + "step": 1284 + }, + { + "epoch": 0.64, + "learning_rate": 2.9934743522929476e-06, + "loss": 0.776, + "step": 1285 + }, + { + "epoch": 0.64, + "learning_rate": 2.9860606867773323e-06, + "loss": 0.7868, + "step": 1286 + }, + { + "epoch": 0.64, + "learning_rate": 2.9786523025827836e-06, + "loss": 0.7688, + "step": 1287 + }, + { + "epoch": 0.64, + "learning_rate": 2.9712492191369245e-06, + "loss": 0.79, + "step": 1288 + }, + { + "epoch": 0.64, + "learning_rate": 2.9638514558534804e-06, + "loss": 0.778, + "step": 1289 + }, + { + "epoch": 0.65, + "learning_rate": 2.9564590321322206e-06, + "loss": 0.7781, + "step": 1290 + }, + { + "epoch": 0.65, + "learning_rate": 2.9490719673589153e-06, + "loss": 0.7748, + "step": 1291 + }, + { + "epoch": 0.65, + "learning_rate": 2.9416902809052817e-06, + "loss": 0.7913, + "step": 1292 + }, + { + "epoch": 0.65, + "learning_rate": 2.934313992128931e-06, + "loss": 0.7875, + "step": 1293 + }, + { + "epoch": 0.65, + "learning_rate": 2.9269431203733213e-06, + "loss": 0.7815, + "step": 1294 + }, + { + "epoch": 0.65, + "learning_rate": 2.9195776849677037e-06, + "loss": 0.7921, + "step": 1295 + }, + { + "epoch": 0.65, + "learning_rate": 2.912217705227075e-06, + "loss": 0.7809, + "step": 1296 + }, + { + "epoch": 0.65, + "learning_rate": 2.904863200452121e-06, + "loss": 0.7918, + "step": 1297 + }, + { + "epoch": 0.65, + "learning_rate": 2.8975141899291777e-06, + "loss": 0.7879, + "step": 1298 + }, + { + "epoch": 0.65, + "learning_rate": 2.8901706929301666e-06, + "loss": 0.7837, + "step": 1299 + }, + { + "epoch": 0.65, + "learning_rate": 2.882832728712551e-06, + "loss": 0.7828, + "step": 1300 + }, + { + "epoch": 0.65, + "learning_rate": 2.8755003165192864e-06, + "loss": 0.7868, + "step": 1301 + }, + { + "epoch": 0.65, + "learning_rate": 2.868173475578772e-06, + "loss": 0.7771, + "step": 1302 + }, + { + "epoch": 0.65, + "learning_rate": 2.8608522251047905e-06, + "loss": 0.7889, + "step": 1303 + }, + { + "epoch": 0.65, + "learning_rate": 2.8535365842964713e-06, + "loss": 0.7901, + "step": 1304 + }, + { + "epoch": 0.65, + "learning_rate": 2.8462265723382255e-06, + "loss": 0.7892, + "step": 1305 + }, + { + "epoch": 0.65, + "learning_rate": 2.838922208399712e-06, + "loss": 0.7936, + "step": 1306 + }, + { + "epoch": 0.65, + "learning_rate": 2.8316235116357715e-06, + "loss": 0.7882, + "step": 1307 + }, + { + "epoch": 0.65, + "learning_rate": 2.8243305011863843e-06, + "loss": 0.7948, + "step": 1308 + }, + { + "epoch": 0.65, + "learning_rate": 2.81704319617662e-06, + "loss": 0.778, + "step": 1309 + }, + { + "epoch": 0.66, + "learning_rate": 2.8097616157165886e-06, + "loss": 0.7764, + "step": 1310 + }, + { + "epoch": 0.66, + "learning_rate": 2.8024857789013847e-06, + "loss": 0.7886, + "step": 1311 + }, + { + "epoch": 0.66, + "learning_rate": 2.7952157048110406e-06, + "loss": 0.7783, + "step": 1312 + }, + { + "epoch": 0.66, + "learning_rate": 2.787951412510481e-06, + "loss": 0.787, + "step": 1313 + }, + { + "epoch": 0.66, + "learning_rate": 2.780692921049465e-06, + "loss": 0.7907, + "step": 1314 + }, + { + "epoch": 0.66, + "learning_rate": 2.7734402494625395e-06, + "loss": 0.7807, + "step": 1315 + }, + { + "epoch": 0.66, + "learning_rate": 2.7661934167689887e-06, + "loss": 0.7886, + "step": 1316 + }, + { + "epoch": 0.66, + "learning_rate": 2.7589524419727885e-06, + "loss": 0.7963, + "step": 1317 + }, + { + "epoch": 0.66, + "learning_rate": 2.751717344062552e-06, + "loss": 0.7848, + "step": 1318 + }, + { + "epoch": 0.66, + "learning_rate": 2.7444881420114766e-06, + "loss": 0.7859, + "step": 1319 + }, + { + "epoch": 0.66, + "learning_rate": 2.7372648547773063e-06, + "loss": 0.7945, + "step": 1320 + }, + { + "epoch": 0.66, + "learning_rate": 2.7300475013022666e-06, + "loss": 0.7893, + "step": 1321 + }, + { + "epoch": 0.66, + "learning_rate": 2.722836100513027e-06, + "loss": 0.7871, + "step": 1322 + }, + { + "epoch": 0.66, + "learning_rate": 2.7156306713206433e-06, + "loss": 0.7945, + "step": 1323 + }, + { + "epoch": 0.66, + "learning_rate": 2.7084312326205164e-06, + "loss": 0.787, + "step": 1324 + }, + { + "epoch": 0.66, + "learning_rate": 2.701237803292335e-06, + "loss": 0.7932, + "step": 1325 + }, + { + "epoch": 0.66, + "learning_rate": 2.6940504022000248e-06, + "loss": 0.7822, + "step": 1326 + }, + { + "epoch": 0.66, + "learning_rate": 2.6868690481917115e-06, + "loss": 0.7812, + "step": 1327 + }, + { + "epoch": 0.66, + "learning_rate": 2.6796937600996587e-06, + "loss": 0.7818, + "step": 1328 + }, + { + "epoch": 0.66, + "learning_rate": 2.6725245567402208e-06, + "loss": 0.7767, + "step": 1329 + }, + { + "epoch": 0.67, + "learning_rate": 2.665361456913797e-06, + "loss": 0.7847, + "step": 1330 + }, + { + "epoch": 0.67, + "learning_rate": 2.6582044794047853e-06, + "loss": 0.7874, + "step": 1331 + }, + { + "epoch": 0.67, + "learning_rate": 2.6510536429815224e-06, + "loss": 0.7874, + "step": 1332 + }, + { + "epoch": 0.67, + "learning_rate": 2.6439089663962424e-06, + "loss": 0.7783, + "step": 1333 + }, + { + "epoch": 0.67, + "learning_rate": 2.6367704683850293e-06, + "loss": 0.7787, + "step": 1334 + }, + { + "epoch": 0.67, + "learning_rate": 2.629638167667761e-06, + "loss": 0.7893, + "step": 1335 + }, + { + "epoch": 0.67, + "learning_rate": 2.622512082948063e-06, + "loss": 0.7771, + "step": 1336 + }, + { + "epoch": 0.67, + "learning_rate": 2.6153922329132618e-06, + "loss": 0.7893, + "step": 1337 + }, + { + "epoch": 0.67, + "learning_rate": 2.6082786362343377e-06, + "loss": 0.7775, + "step": 1338 + }, + { + "epoch": 0.67, + "learning_rate": 2.6011713115658654e-06, + "loss": 0.7788, + "step": 1339 + }, + { + "epoch": 0.67, + "learning_rate": 2.594070277545975e-06, + "loss": 0.7719, + "step": 1340 + }, + { + "epoch": 0.67, + "learning_rate": 2.5869755527963027e-06, + "loss": 0.7848, + "step": 1341 + }, + { + "epoch": 0.67, + "learning_rate": 2.5798871559219362e-06, + "loss": 0.7872, + "step": 1342 + }, + { + "epoch": 0.67, + "learning_rate": 2.572805105511369e-06, + "loss": 0.7865, + "step": 1343 + }, + { + "epoch": 0.67, + "learning_rate": 2.5657294201364526e-06, + "loss": 0.7697, + "step": 1344 + }, + { + "epoch": 0.67, + "learning_rate": 2.5586601183523485e-06, + "loss": 0.7716, + "step": 1345 + }, + { + "epoch": 0.67, + "learning_rate": 2.551597218697476e-06, + "loss": 0.7864, + "step": 1346 + }, + { + "epoch": 0.67, + "learning_rate": 2.544540739693464e-06, + "loss": 0.7834, + "step": 1347 + }, + { + "epoch": 0.67, + "learning_rate": 2.5374906998451094e-06, + "loss": 0.7795, + "step": 1348 + }, + { + "epoch": 0.67, + "learning_rate": 2.5304471176403184e-06, + "loss": 0.7814, + "step": 1349 + }, + { + "epoch": 0.68, + "learning_rate": 2.5234100115500643e-06, + "loss": 0.7839, + "step": 1350 + }, + { + "epoch": 0.68, + "learning_rate": 2.516379400028335e-06, + "loss": 0.7824, + "step": 1351 + }, + { + "epoch": 0.68, + "learning_rate": 2.5093553015120937e-06, + "loss": 0.7856, + "step": 1352 + }, + { + "epoch": 0.68, + "learning_rate": 2.502337734421218e-06, + "loss": 0.7881, + "step": 1353 + }, + { + "epoch": 0.68, + "learning_rate": 2.4953267171584573e-06, + "loss": 0.7861, + "step": 1354 + }, + { + "epoch": 0.68, + "learning_rate": 2.4883222681093916e-06, + "loss": 0.7884, + "step": 1355 + }, + { + "epoch": 0.68, + "learning_rate": 2.4813244056423692e-06, + "loss": 0.7989, + "step": 1356 + }, + { + "epoch": 0.68, + "learning_rate": 2.474333148108469e-06, + "loss": 0.8008, + "step": 1357 + }, + { + "epoch": 0.68, + "learning_rate": 2.467348513841447e-06, + "loss": 0.7887, + "step": 1358 + }, + { + "epoch": 0.68, + "learning_rate": 2.4603705211576962e-06, + "loss": 0.7894, + "step": 1359 + }, + { + "epoch": 0.68, + "learning_rate": 2.4533991883561868e-06, + "loss": 0.7888, + "step": 1360 + }, + { + "epoch": 0.68, + "learning_rate": 2.4464345337184248e-06, + "loss": 0.7838, + "step": 1361 + }, + { + "epoch": 0.68, + "learning_rate": 2.439476575508408e-06, + "loss": 0.7651, + "step": 1362 + }, + { + "epoch": 0.68, + "learning_rate": 2.4325253319725693e-06, + "loss": 0.7818, + "step": 1363 + }, + { + "epoch": 0.68, + "learning_rate": 2.425580821339733e-06, + "loss": 0.7822, + "step": 1364 + }, + { + "epoch": 0.68, + "learning_rate": 2.4186430618210704e-06, + "loss": 0.7906, + "step": 1365 + }, + { + "epoch": 0.68, + "learning_rate": 2.4117120716100484e-06, + "loss": 0.7785, + "step": 1366 + }, + { + "epoch": 0.68, + "learning_rate": 2.4047878688823795e-06, + "loss": 0.7846, + "step": 1367 + }, + { + "epoch": 0.68, + "learning_rate": 2.3978704717959777e-06, + "loss": 0.7658, + "step": 1368 + }, + { + "epoch": 0.68, + "learning_rate": 2.390959898490909e-06, + "loss": 0.7909, + "step": 1369 + }, + { + "epoch": 0.69, + "learning_rate": 2.38405616708935e-06, + "loss": 0.776, + "step": 1370 + }, + { + "epoch": 0.69, + "learning_rate": 2.3771592956955285e-06, + "loss": 0.7987, + "step": 1371 + }, + { + "epoch": 0.69, + "learning_rate": 2.3702693023956853e-06, + "loss": 0.7826, + "step": 1372 + }, + { + "epoch": 0.69, + "learning_rate": 2.3633862052580273e-06, + "loss": 0.7853, + "step": 1373 + }, + { + "epoch": 0.69, + "learning_rate": 2.356510022332674e-06, + "loss": 0.7854, + "step": 1374 + }, + { + "epoch": 0.69, + "learning_rate": 2.349640771651611e-06, + "loss": 0.7785, + "step": 1375 + }, + { + "epoch": 0.69, + "learning_rate": 2.342778471228648e-06, + "loss": 0.7761, + "step": 1376 + }, + { + "epoch": 0.69, + "learning_rate": 2.33592313905937e-06, + "loss": 0.7807, + "step": 1377 + }, + { + "epoch": 0.69, + "learning_rate": 2.329074793121085e-06, + "loss": 0.7769, + "step": 1378 + }, + { + "epoch": 0.69, + "learning_rate": 2.3222334513727808e-06, + "loss": 0.7921, + "step": 1379 + }, + { + "epoch": 0.69, + "learning_rate": 2.315399131755081e-06, + "loss": 0.7717, + "step": 1380 + }, + { + "epoch": 0.69, + "learning_rate": 2.308571852190191e-06, + "loss": 0.7904, + "step": 1381 + }, + { + "epoch": 0.69, + "learning_rate": 2.301751630581855e-06, + "loss": 0.775, + "step": 1382 + }, + { + "epoch": 0.69, + "learning_rate": 2.294938484815308e-06, + "loss": 0.7884, + "step": 1383 + }, + { + "epoch": 0.69, + "learning_rate": 2.2881324327572336e-06, + "loss": 0.7844, + "step": 1384 + }, + { + "epoch": 0.69, + "learning_rate": 2.281333492255708e-06, + "loss": 0.7786, + "step": 1385 + }, + { + "epoch": 0.69, + "learning_rate": 2.274541681140159e-06, + "loss": 0.7946, + "step": 1386 + }, + { + "epoch": 0.69, + "learning_rate": 2.267757017221322e-06, + "loss": 0.7834, + "step": 1387 + }, + { + "epoch": 0.69, + "learning_rate": 2.260979518291186e-06, + "loss": 0.7796, + "step": 1388 + }, + { + "epoch": 0.69, + "learning_rate": 2.2542092021229516e-06, + "loss": 0.7906, + "step": 1389 + }, + { + "epoch": 0.69, + "learning_rate": 2.2474460864709825e-06, + "loss": 0.8012, + "step": 1390 + }, + { + "epoch": 0.7, + "learning_rate": 2.240690189070764e-06, + "loss": 0.7786, + "step": 1391 + }, + { + "epoch": 0.7, + "learning_rate": 2.233941527638848e-06, + "loss": 0.7934, + "step": 1392 + }, + { + "epoch": 0.7, + "learning_rate": 2.2272001198728096e-06, + "loss": 0.7785, + "step": 1393 + }, + { + "epoch": 0.7, + "learning_rate": 2.2204659834512095e-06, + "loss": 0.7929, + "step": 1394 + }, + { + "epoch": 0.7, + "learning_rate": 2.213739136033533e-06, + "loss": 0.7915, + "step": 1395 + }, + { + "epoch": 0.7, + "learning_rate": 2.207019595260154e-06, + "loss": 0.7902, + "step": 1396 + }, + { + "epoch": 0.7, + "learning_rate": 2.2003073787522824e-06, + "loss": 0.776, + "step": 1397 + }, + { + "epoch": 0.7, + "learning_rate": 2.1936025041119268e-06, + "loss": 0.7839, + "step": 1398 + }, + { + "epoch": 0.7, + "learning_rate": 2.186904988921838e-06, + "loss": 0.7804, + "step": 1399 + }, + { + "epoch": 0.7, + "learning_rate": 2.1802148507454675e-06, + "loss": 0.7836, + "step": 1400 + }, + { + "epoch": 0.7, + "learning_rate": 2.173532107126925e-06, + "loss": 0.7805, + "step": 1401 + }, + { + "epoch": 0.7, + "learning_rate": 2.1668567755909257e-06, + "loss": 0.7939, + "step": 1402 + }, + { + "epoch": 0.7, + "learning_rate": 2.1601888736427484e-06, + "loss": 0.7811, + "step": 1403 + }, + { + "epoch": 0.7, + "learning_rate": 2.1535284187681866e-06, + "loss": 0.7713, + "step": 1404 + }, + { + "epoch": 0.7, + "learning_rate": 2.1468754284335097e-06, + "loss": 0.7757, + "step": 1405 + }, + { + "epoch": 0.7, + "learning_rate": 2.140229920085409e-06, + "loss": 0.7758, + "step": 1406 + }, + { + "epoch": 0.7, + "learning_rate": 2.1335919111509516e-06, + "loss": 0.7796, + "step": 1407 + }, + { + "epoch": 0.7, + "learning_rate": 2.1269614190375477e-06, + "loss": 0.7743, + "step": 1408 + }, + { + "epoch": 0.7, + "learning_rate": 2.120338461132887e-06, + "loss": 0.7852, + "step": 1409 + }, + { + "epoch": 0.7, + "learning_rate": 2.1137230548049042e-06, + "loss": 0.7918, + "step": 1410 + }, + { + "epoch": 0.71, + "learning_rate": 2.10711521740173e-06, + "loss": 0.7708, + "step": 1411 + }, + { + "epoch": 0.71, + "learning_rate": 2.1005149662516517e-06, + "loss": 0.7974, + "step": 1412 + }, + { + "epoch": 0.71, + "learning_rate": 2.093922318663055e-06, + "loss": 0.793, + "step": 1413 + }, + { + "epoch": 0.71, + "learning_rate": 2.08733729192439e-06, + "loss": 0.7728, + "step": 1414 + }, + { + "epoch": 0.71, + "learning_rate": 2.0807599033041238e-06, + "loss": 0.7812, + "step": 1415 + }, + { + "epoch": 0.71, + "learning_rate": 2.07419017005069e-06, + "loss": 0.7846, + "step": 1416 + }, + { + "epoch": 0.71, + "learning_rate": 2.067628109392448e-06, + "loss": 0.7732, + "step": 1417 + }, + { + "epoch": 0.71, + "learning_rate": 2.061073738537635e-06, + "loss": 0.7877, + "step": 1418 + }, + { + "epoch": 0.71, + "learning_rate": 2.0545270746743277e-06, + "loss": 0.7789, + "step": 1419 + }, + { + "epoch": 0.71, + "learning_rate": 2.0479881349703885e-06, + "loss": 0.7687, + "step": 1420 + }, + { + "epoch": 0.71, + "learning_rate": 2.041456936573421e-06, + "loss": 0.7835, + "step": 1421 + }, + { + "epoch": 0.71, + "learning_rate": 2.0349334966107363e-06, + "loss": 0.7874, + "step": 1422 + }, + { + "epoch": 0.71, + "learning_rate": 2.0284178321892926e-06, + "loss": 0.7674, + "step": 1423 + }, + { + "epoch": 0.71, + "learning_rate": 2.021909960395661e-06, + "loss": 0.7863, + "step": 1424 + }, + { + "epoch": 0.71, + "learning_rate": 2.015409898295975e-06, + "loss": 0.7811, + "step": 1425 + }, + { + "epoch": 0.71, + "learning_rate": 2.0089176629358904e-06, + "loss": 0.7831, + "step": 1426 + }, + { + "epoch": 0.71, + "learning_rate": 2.0024332713405396e-06, + "loss": 0.7756, + "step": 1427 + }, + { + "epoch": 0.71, + "learning_rate": 1.9959567405144825e-06, + "loss": 0.7825, + "step": 1428 + }, + { + "epoch": 0.71, + "learning_rate": 1.9894880874416644e-06, + "loss": 0.7786, + "step": 1429 + }, + { + "epoch": 0.71, + "learning_rate": 1.983027329085377e-06, + "loss": 0.771, + "step": 1430 + }, + { + "epoch": 0.72, + "learning_rate": 1.976574482388204e-06, + "loss": 0.7749, + "step": 1431 + }, + { + "epoch": 0.72, + "learning_rate": 1.9701295642719836e-06, + "loss": 0.7825, + "step": 1432 + }, + { + "epoch": 0.72, + "learning_rate": 1.963692591637761e-06, + "loss": 0.7767, + "step": 1433 + }, + { + "epoch": 0.72, + "learning_rate": 1.957263581365749e-06, + "loss": 0.7849, + "step": 1434 + }, + { + "epoch": 0.72, + "learning_rate": 1.950842550315277e-06, + "loss": 0.7721, + "step": 1435 + }, + { + "epoch": 0.72, + "learning_rate": 1.944429515324749e-06, + "loss": 0.7769, + "step": 1436 + }, + { + "epoch": 0.72, + "learning_rate": 1.9380244932116034e-06, + "loss": 0.7752, + "step": 1437 + }, + { + "epoch": 0.72, + "learning_rate": 1.931627500772263e-06, + "loss": 0.7807, + "step": 1438 + }, + { + "epoch": 0.72, + "learning_rate": 1.9252385547820953e-06, + "loss": 0.777, + "step": 1439 + }, + { + "epoch": 0.72, + "learning_rate": 1.9188576719953635e-06, + "loss": 0.7777, + "step": 1440 + }, + { + "epoch": 0.72, + "learning_rate": 1.912484869145193e-06, + "loss": 0.7755, + "step": 1441 + }, + { + "epoch": 0.72, + "learning_rate": 1.906120162943515e-06, + "loss": 0.79, + "step": 1442 + }, + { + "epoch": 0.72, + "learning_rate": 1.8997635700810274e-06, + "loss": 0.7775, + "step": 1443 + }, + { + "epoch": 0.72, + "learning_rate": 1.8934151072271573e-06, + "loss": 0.774, + "step": 1444 + }, + { + "epoch": 0.72, + "learning_rate": 1.8870747910300064e-06, + "loss": 0.7744, + "step": 1445 + }, + { + "epoch": 0.72, + "learning_rate": 1.8807426381163151e-06, + "loss": 0.7813, + "step": 1446 + }, + { + "epoch": 0.72, + "learning_rate": 1.8744186650914148e-06, + "loss": 0.783, + "step": 1447 + }, + { + "epoch": 0.72, + "learning_rate": 1.8681028885391905e-06, + "loss": 0.7965, + "step": 1448 + }, + { + "epoch": 0.72, + "learning_rate": 1.8617953250220288e-06, + "loss": 0.7863, + "step": 1449 + }, + { + "epoch": 0.72, + "learning_rate": 1.8554959910807773e-06, + "loss": 0.7755, + "step": 1450 + }, + { + "epoch": 0.73, + "learning_rate": 1.8492049032347087e-06, + "loss": 0.7715, + "step": 1451 + }, + { + "epoch": 0.73, + "learning_rate": 1.8429220779814654e-06, + "loss": 0.7813, + "step": 1452 + }, + { + "epoch": 0.73, + "learning_rate": 1.8366475317970244e-06, + "loss": 0.7771, + "step": 1453 + }, + { + "epoch": 0.73, + "learning_rate": 1.8303812811356503e-06, + "loss": 0.7739, + "step": 1454 + }, + { + "epoch": 0.73, + "learning_rate": 1.8241233424298582e-06, + "loss": 0.781, + "step": 1455 + }, + { + "epoch": 0.73, + "learning_rate": 1.81787373209036e-06, + "loss": 0.766, + "step": 1456 + }, + { + "epoch": 0.73, + "learning_rate": 1.8116324665060304e-06, + "loss": 0.7804, + "step": 1457 + }, + { + "epoch": 0.73, + "learning_rate": 1.8053995620438625e-06, + "loss": 0.7872, + "step": 1458 + }, + { + "epoch": 0.73, + "learning_rate": 1.7991750350489213e-06, + "loss": 0.781, + "step": 1459 + }, + { + "epoch": 0.73, + "learning_rate": 1.7929589018443016e-06, + "loss": 0.7834, + "step": 1460 + }, + { + "epoch": 0.73, + "learning_rate": 1.7867511787310882e-06, + "loss": 0.7857, + "step": 1461 + }, + { + "epoch": 0.73, + "learning_rate": 1.7805518819883134e-06, + "loss": 0.7789, + "step": 1462 + }, + { + "epoch": 0.73, + "learning_rate": 1.774361027872909e-06, + "loss": 0.7979, + "step": 1463 + }, + { + "epoch": 0.73, + "learning_rate": 1.7681786326196665e-06, + "loss": 0.7811, + "step": 1464 + }, + { + "epoch": 0.73, + "learning_rate": 1.7620047124412e-06, + "loss": 0.7893, + "step": 1465 + }, + { + "epoch": 0.73, + "learning_rate": 1.755839283527893e-06, + "loss": 0.7955, + "step": 1466 + }, + { + "epoch": 0.73, + "learning_rate": 1.7496823620478653e-06, + "loss": 0.7788, + "step": 1467 + }, + { + "epoch": 0.73, + "learning_rate": 1.743533964146924e-06, + "loss": 0.7803, + "step": 1468 + }, + { + "epoch": 0.73, + "learning_rate": 1.7373941059485282e-06, + "loss": 0.7857, + "step": 1469 + }, + { + "epoch": 0.73, + "learning_rate": 1.7312628035537388e-06, + "loss": 0.7859, + "step": 1470 + }, + { + "epoch": 0.74, + "learning_rate": 1.7251400730411804e-06, + "loss": 0.7741, + "step": 1471 + }, + { + "epoch": 0.74, + "learning_rate": 1.7190259304670038e-06, + "loss": 0.7839, + "step": 1472 + }, + { + "epoch": 0.74, + "learning_rate": 1.7129203918648318e-06, + "loss": 0.7694, + "step": 1473 + }, + { + "epoch": 0.74, + "learning_rate": 1.706823473245729e-06, + "loss": 0.7774, + "step": 1474 + }, + { + "epoch": 0.74, + "learning_rate": 1.7007351905981512e-06, + "loss": 0.7918, + "step": 1475 + }, + { + "epoch": 0.74, + "learning_rate": 1.6946555598879138e-06, + "loss": 0.7712, + "step": 1476 + }, + { + "epoch": 0.74, + "learning_rate": 1.6885845970581377e-06, + "loss": 0.7822, + "step": 1477 + }, + { + "epoch": 0.74, + "learning_rate": 1.6825223180292138e-06, + "loss": 0.781, + "step": 1478 + }, + { + "epoch": 0.74, + "learning_rate": 1.676468738698765e-06, + "loss": 0.7822, + "step": 1479 + }, + { + "epoch": 0.74, + "learning_rate": 1.6704238749415958e-06, + "loss": 0.7771, + "step": 1480 + }, + { + "epoch": 0.74, + "learning_rate": 1.6643877426096572e-06, + "loss": 0.7737, + "step": 1481 + }, + { + "epoch": 0.74, + "learning_rate": 1.6583603575320002e-06, + "loss": 0.7777, + "step": 1482 + }, + { + "epoch": 0.74, + "learning_rate": 1.6523417355147425e-06, + "loss": 0.7884, + "step": 1483 + }, + { + "epoch": 0.74, + "learning_rate": 1.6463318923410183e-06, + "loss": 0.78, + "step": 1484 + }, + { + "epoch": 0.74, + "learning_rate": 1.640330843770938e-06, + "loss": 0.7829, + "step": 1485 + }, + { + "epoch": 0.74, + "learning_rate": 1.6343386055415545e-06, + "loss": 0.7908, + "step": 1486 + }, + { + "epoch": 0.74, + "learning_rate": 1.6283551933668145e-06, + "loss": 0.7803, + "step": 1487 + }, + { + "epoch": 0.74, + "learning_rate": 1.6223806229375182e-06, + "loss": 0.7884, + "step": 1488 + }, + { + "epoch": 0.74, + "learning_rate": 1.6164149099212778e-06, + "loss": 0.7755, + "step": 1489 + }, + { + "epoch": 0.74, + "learning_rate": 1.6104580699624839e-06, + "loss": 0.7694, + "step": 1490 + }, + { + "epoch": 0.75, + "learning_rate": 1.6045101186822526e-06, + "loss": 0.7883, + "step": 1491 + }, + { + "epoch": 0.75, + "learning_rate": 1.5985710716783936e-06, + "loss": 0.7867, + "step": 1492 + }, + { + "epoch": 0.75, + "learning_rate": 1.5926409445253627e-06, + "loss": 0.7729, + "step": 1493 + }, + { + "epoch": 0.75, + "learning_rate": 1.5867197527742312e-06, + "loss": 0.7765, + "step": 1494 + }, + { + "epoch": 0.75, + "learning_rate": 1.5808075119526323e-06, + "loss": 0.7719, + "step": 1495 + }, + { + "epoch": 0.75, + "learning_rate": 1.5749042375647261e-06, + "loss": 0.7856, + "step": 1496 + }, + { + "epoch": 0.75, + "learning_rate": 1.5690099450911656e-06, + "loss": 0.7737, + "step": 1497 + }, + { + "epoch": 0.75, + "learning_rate": 1.563124649989043e-06, + "loss": 0.7706, + "step": 1498 + }, + { + "epoch": 0.75, + "learning_rate": 1.5572483676918598e-06, + "loss": 0.7668, + "step": 1499 + }, + { + "epoch": 0.75, + "learning_rate": 1.5513811136094786e-06, + "loss": 0.7737, + "step": 1500 + }, + { + "epoch": 0.75, + "learning_rate": 1.5455229031280932e-06, + "loss": 0.7782, + "step": 1501 + }, + { + "epoch": 0.75, + "learning_rate": 1.5396737516101757e-06, + "loss": 0.768, + "step": 1502 + }, + { + "epoch": 0.75, + "learning_rate": 1.5338336743944427e-06, + "loss": 0.7769, + "step": 1503 + }, + { + "epoch": 0.75, + "learning_rate": 1.5280026867958186e-06, + "loss": 0.7781, + "step": 1504 + }, + { + "epoch": 0.75, + "learning_rate": 1.5221808041053877e-06, + "loss": 0.7793, + "step": 1505 + }, + { + "epoch": 0.75, + "learning_rate": 1.516368041590358e-06, + "loss": 0.7871, + "step": 1506 + }, + { + "epoch": 0.75, + "learning_rate": 1.5105644144940202e-06, + "loss": 0.7795, + "step": 1507 + }, + { + "epoch": 0.75, + "learning_rate": 1.5047699380357134e-06, + "loss": 0.791, + "step": 1508 + }, + { + "epoch": 0.75, + "learning_rate": 1.498984627410774e-06, + "loss": 0.778, + "step": 1509 + }, + { + "epoch": 0.76, + "learning_rate": 1.4932084977905043e-06, + "loss": 0.7817, + "step": 1510 + }, + { + "epoch": 0.76, + "learning_rate": 1.487441564322133e-06, + "loss": 0.7627, + "step": 1511 + }, + { + "epoch": 0.76, + "learning_rate": 1.4816838421287693e-06, + "loss": 0.7888, + "step": 1512 + }, + { + "epoch": 0.76, + "learning_rate": 1.4759353463093695e-06, + "loss": 0.788, + "step": 1513 + }, + { + "epoch": 0.76, + "learning_rate": 1.470196091938691e-06, + "loss": 0.7739, + "step": 1514 + }, + { + "epoch": 0.76, + "learning_rate": 1.4644660940672628e-06, + "loss": 0.7897, + "step": 1515 + }, + { + "epoch": 0.76, + "learning_rate": 1.4587453677213348e-06, + "loss": 0.7854, + "step": 1516 + }, + { + "epoch": 0.76, + "learning_rate": 1.4530339279028438e-06, + "loss": 0.7838, + "step": 1517 + }, + { + "epoch": 0.76, + "learning_rate": 1.4473317895893773e-06, + "loss": 0.781, + "step": 1518 + }, + { + "epoch": 0.76, + "learning_rate": 1.441638967734127e-06, + "loss": 0.7835, + "step": 1519 + }, + { + "epoch": 0.76, + "learning_rate": 1.4359554772658551e-06, + "loss": 0.7717, + "step": 1520 + }, + { + "epoch": 0.76, + "learning_rate": 1.4302813330888498e-06, + "loss": 0.7726, + "step": 1521 + }, + { + "epoch": 0.76, + "learning_rate": 1.4246165500828974e-06, + "loss": 0.7816, + "step": 1522 + }, + { + "epoch": 0.76, + "learning_rate": 1.4189611431032286e-06, + "loss": 0.7787, + "step": 1523 + }, + { + "epoch": 0.76, + "learning_rate": 1.4133151269804873e-06, + "loss": 0.7752, + "step": 1524 + }, + { + "epoch": 0.76, + "learning_rate": 1.4076785165206962e-06, + "loss": 0.7813, + "step": 1525 + }, + { + "epoch": 0.76, + "learning_rate": 1.4020513265052072e-06, + "loss": 0.7759, + "step": 1526 + }, + { + "epoch": 0.76, + "learning_rate": 1.3964335716906696e-06, + "loss": 0.7644, + "step": 1527 + }, + { + "epoch": 0.76, + "learning_rate": 1.39082526680899e-06, + "loss": 0.7837, + "step": 1528 + }, + { + "epoch": 0.76, + "learning_rate": 1.3852264265672965e-06, + "loss": 0.7711, + "step": 1529 + }, + { + "epoch": 0.77, + "learning_rate": 1.3796370656478936e-06, + "loss": 0.7796, + "step": 1530 + }, + { + "epoch": 0.77, + "learning_rate": 1.3740571987082274e-06, + "loss": 0.7772, + "step": 1531 + }, + { + "epoch": 0.77, + "learning_rate": 1.368486840380851e-06, + "loss": 0.7844, + "step": 1532 + }, + { + "epoch": 0.77, + "learning_rate": 1.3629260052733783e-06, + "loss": 0.7759, + "step": 1533 + }, + { + "epoch": 0.77, + "learning_rate": 1.357374707968452e-06, + "loss": 0.7854, + "step": 1534 + }, + { + "epoch": 0.77, + "learning_rate": 1.3518329630236987e-06, + "loss": 0.7837, + "step": 1535 + }, + { + "epoch": 0.77, + "learning_rate": 1.3463007849717035e-06, + "loss": 0.7819, + "step": 1536 + }, + { + "epoch": 0.77, + "learning_rate": 1.3407781883199561e-06, + "loss": 0.7899, + "step": 1537 + }, + { + "epoch": 0.77, + "learning_rate": 1.3352651875508204e-06, + "loss": 0.7772, + "step": 1538 + }, + { + "epoch": 0.77, + "learning_rate": 1.3297617971215022e-06, + "loss": 0.7821, + "step": 1539 + }, + { + "epoch": 0.77, + "learning_rate": 1.3242680314639995e-06, + "loss": 0.7921, + "step": 1540 + }, + { + "epoch": 0.77, + "learning_rate": 1.3187839049850714e-06, + "loss": 0.7823, + "step": 1541 + }, + { + "epoch": 0.77, + "learning_rate": 1.3133094320662e-06, + "loss": 0.7816, + "step": 1542 + }, + { + "epoch": 0.77, + "learning_rate": 1.3078446270635541e-06, + "loss": 0.768, + "step": 1543 + }, + { + "epoch": 0.77, + "learning_rate": 1.3023895043079476e-06, + "loss": 0.7868, + "step": 1544 + }, + { + "epoch": 0.77, + "learning_rate": 1.2969440781048015e-06, + "loss": 0.7772, + "step": 1545 + }, + { + "epoch": 0.77, + "learning_rate": 1.291508362734113e-06, + "loss": 0.7858, + "step": 1546 + }, + { + "epoch": 0.77, + "learning_rate": 1.2860823724504134e-06, + "loss": 0.7876, + "step": 1547 + }, + { + "epoch": 0.77, + "learning_rate": 1.2806661214827286e-06, + "loss": 0.7792, + "step": 1548 + }, + { + "epoch": 0.77, + "learning_rate": 1.2752596240345432e-06, + "loss": 0.7756, + "step": 1549 + }, + { + "epoch": 0.78, + "learning_rate": 1.2698628942837698e-06, + "loss": 0.785, + "step": 1550 + }, + { + "epoch": 0.78, + "learning_rate": 1.264475946382701e-06, + "loss": 0.7921, + "step": 1551 + }, + { + "epoch": 0.78, + "learning_rate": 1.2590987944579808e-06, + "loss": 0.7972, + "step": 1552 + }, + { + "epoch": 0.78, + "learning_rate": 1.253731452610561e-06, + "loss": 0.7826, + "step": 1553 + }, + { + "epoch": 0.78, + "learning_rate": 1.2483739349156726e-06, + "loss": 0.7709, + "step": 1554 + }, + { + "epoch": 0.78, + "learning_rate": 1.24302625542278e-06, + "loss": 0.7857, + "step": 1555 + }, + { + "epoch": 0.78, + "learning_rate": 1.2376884281555485e-06, + "loss": 0.7863, + "step": 1556 + }, + { + "epoch": 0.78, + "learning_rate": 1.2323604671118095e-06, + "loss": 0.7813, + "step": 1557 + }, + { + "epoch": 0.78, + "learning_rate": 1.2270423862635188e-06, + "loss": 0.7733, + "step": 1558 + }, + { + "epoch": 0.78, + "learning_rate": 1.2217341995567238e-06, + "loss": 0.7625, + "step": 1559 + }, + { + "epoch": 0.78, + "learning_rate": 1.2164359209115235e-06, + "loss": 0.7815, + "step": 1560 + }, + { + "epoch": 0.78, + "learning_rate": 1.2111475642220388e-06, + "loss": 0.779, + "step": 1561 + }, + { + "epoch": 0.78, + "learning_rate": 1.2058691433563675e-06, + "loss": 0.795, + "step": 1562 + }, + { + "epoch": 0.78, + "learning_rate": 1.200600672156551e-06, + "loss": 0.7813, + "step": 1563 + }, + { + "epoch": 0.78, + "learning_rate": 1.1953421644385444e-06, + "loss": 0.7796, + "step": 1564 + }, + { + "epoch": 0.78, + "learning_rate": 1.1900936339921692e-06, + "loss": 0.7821, + "step": 1565 + }, + { + "epoch": 0.78, + "learning_rate": 1.184855094581085e-06, + "loss": 0.7746, + "step": 1566 + }, + { + "epoch": 0.78, + "learning_rate": 1.1796265599427487e-06, + "loss": 0.7854, + "step": 1567 + }, + { + "epoch": 0.78, + "learning_rate": 1.1744080437883859e-06, + "loss": 0.7886, + "step": 1568 + }, + { + "epoch": 0.78, + "learning_rate": 1.1691995598029459e-06, + "loss": 0.7804, + "step": 1569 + }, + { + "epoch": 0.79, + "learning_rate": 1.164001121645069e-06, + "loss": 0.7623, + "step": 1570 + }, + { + "epoch": 0.79, + "learning_rate": 1.1588127429470564e-06, + "loss": 0.7816, + "step": 1571 + }, + { + "epoch": 0.79, + "learning_rate": 1.1536344373148245e-06, + "loss": 0.7772, + "step": 1572 + }, + { + "epoch": 0.79, + "learning_rate": 1.148466218327876e-06, + "loss": 0.7763, + "step": 1573 + }, + { + "epoch": 0.79, + "learning_rate": 1.1433080995392614e-06, + "loss": 0.7852, + "step": 1574 + }, + { + "epoch": 0.79, + "learning_rate": 1.1381600944755493e-06, + "loss": 0.7831, + "step": 1575 + }, + { + "epoch": 0.79, + "learning_rate": 1.133022216636781e-06, + "loss": 0.783, + "step": 1576 + }, + { + "epoch": 0.79, + "learning_rate": 1.1278944794964407e-06, + "loss": 0.7818, + "step": 1577 + }, + { + "epoch": 0.79, + "learning_rate": 1.1227768965014246e-06, + "loss": 0.7689, + "step": 1578 + }, + { + "epoch": 0.79, + "learning_rate": 1.117669481071995e-06, + "loss": 0.782, + "step": 1579 + }, + { + "epoch": 0.79, + "learning_rate": 1.1125722466017547e-06, + "loss": 0.7706, + "step": 1580 + }, + { + "epoch": 0.79, + "learning_rate": 1.1074852064576041e-06, + "loss": 0.7787, + "step": 1581 + }, + { + "epoch": 0.79, + "learning_rate": 1.102408373979717e-06, + "loss": 0.7788, + "step": 1582 + }, + { + "epoch": 0.79, + "learning_rate": 1.097341762481493e-06, + "loss": 0.7833, + "step": 1583 + }, + { + "epoch": 0.79, + "learning_rate": 1.092285385249528e-06, + "loss": 0.787, + "step": 1584 + }, + { + "epoch": 0.79, + "learning_rate": 1.0872392555435857e-06, + "loss": 0.7761, + "step": 1585 + }, + { + "epoch": 0.79, + "learning_rate": 1.0822033865965503e-06, + "loss": 0.7747, + "step": 1586 + }, + { + "epoch": 0.79, + "learning_rate": 1.0771777916144028e-06, + "loss": 0.794, + "step": 1587 + }, + { + "epoch": 0.79, + "learning_rate": 1.0721624837761768e-06, + "loss": 0.7747, + "step": 1588 + }, + { + "epoch": 0.79, + "learning_rate": 1.0671574762339366e-06, + "loss": 0.7883, + "step": 1589 + }, + { + "epoch": 0.8, + "learning_rate": 1.062162782112729e-06, + "loss": 0.7928, + "step": 1590 + }, + { + "epoch": 0.8, + "learning_rate": 1.0571784145105557e-06, + "loss": 0.779, + "step": 1591 + }, + { + "epoch": 0.8, + "learning_rate": 1.0522043864983428e-06, + "loss": 0.781, + "step": 1592 + }, + { + "epoch": 0.8, + "learning_rate": 1.0472407111198974e-06, + "loss": 0.7771, + "step": 1593 + }, + { + "epoch": 0.8, + "learning_rate": 1.0422874013918793e-06, + "loss": 0.7869, + "step": 1594 + }, + { + "epoch": 0.8, + "learning_rate": 1.0373444703037644e-06, + "loss": 0.779, + "step": 1595 + }, + { + "epoch": 0.8, + "learning_rate": 1.0324119308178166e-06, + "loss": 0.7874, + "step": 1596 + }, + { + "epoch": 0.8, + "learning_rate": 1.0274897958690434e-06, + "loss": 0.7762, + "step": 1597 + }, + { + "epoch": 0.8, + "learning_rate": 1.0225780783651689e-06, + "loss": 0.7783, + "step": 1598 + }, + { + "epoch": 0.8, + "learning_rate": 1.0176767911866026e-06, + "loss": 0.777, + "step": 1599 + }, + { + "epoch": 0.8, + "learning_rate": 1.012785947186397e-06, + "loss": 0.7855, + "step": 1600 + }, + { + "epoch": 0.8, + "learning_rate": 1.0079055591902204e-06, + "loss": 0.7797, + "step": 1601 + }, + { + "epoch": 0.8, + "learning_rate": 1.0030356399963204e-06, + "loss": 0.7844, + "step": 1602 + }, + { + "epoch": 0.8, + "learning_rate": 9.981762023754949e-07, + "loss": 0.7978, + "step": 1603 + }, + { + "epoch": 0.8, + "learning_rate": 9.933272590710508e-07, + "loss": 0.782, + "step": 1604 + }, + { + "epoch": 0.8, + "learning_rate": 9.88488822798776e-07, + "loss": 0.7841, + "step": 1605 + }, + { + "epoch": 0.8, + "learning_rate": 9.836609062469066e-07, + "loss": 0.7782, + "step": 1606 + }, + { + "epoch": 0.8, + "learning_rate": 9.788435220760917e-07, + "loss": 0.7768, + "step": 1607 + }, + { + "epoch": 0.8, + "learning_rate": 9.740366829193587e-07, + "loss": 0.7843, + "step": 1608 + }, + { + "epoch": 0.8, + "learning_rate": 9.692404013820833e-07, + "loss": 0.7821, + "step": 1609 + }, + { + "epoch": 0.81, + "learning_rate": 9.644546900419533e-07, + "loss": 0.7754, + "step": 1610 + }, + { + "epoch": 0.81, + "learning_rate": 9.596795614489408e-07, + "loss": 0.7668, + "step": 1611 + }, + { + "epoch": 0.81, + "learning_rate": 9.549150281252633e-07, + "loss": 0.7791, + "step": 1612 + }, + { + "epoch": 0.81, + "learning_rate": 9.501611025653523e-07, + "loss": 0.7763, + "step": 1613 + }, + { + "epoch": 0.81, + "learning_rate": 9.454177972358258e-07, + "loss": 0.7893, + "step": 1614 + }, + { + "epoch": 0.81, + "learning_rate": 9.406851245754478e-07, + "loss": 0.791, + "step": 1615 + }, + { + "epoch": 0.81, + "learning_rate": 9.359630969951012e-07, + "loss": 0.7808, + "step": 1616 + }, + { + "epoch": 0.81, + "learning_rate": 9.31251726877751e-07, + "loss": 0.7944, + "step": 1617 + }, + { + "epoch": 0.81, + "learning_rate": 9.265510265784189e-07, + "loss": 0.7761, + "step": 1618 + }, + { + "epoch": 0.81, + "learning_rate": 9.218610084241419e-07, + "loss": 0.7793, + "step": 1619 + }, + { + "epoch": 0.81, + "learning_rate": 9.171816847139447e-07, + "loss": 0.7851, + "step": 1620 + }, + { + "epoch": 0.81, + "learning_rate": 9.12513067718811e-07, + "loss": 0.786, + "step": 1621 + }, + { + "epoch": 0.81, + "learning_rate": 9.078551696816434e-07, + "loss": 0.7664, + "step": 1622 + }, + { + "epoch": 0.81, + "learning_rate": 9.032080028172357e-07, + "loss": 0.7798, + "step": 1623 + }, + { + "epoch": 0.81, + "learning_rate": 8.985715793122407e-07, + "loss": 0.7897, + "step": 1624 + }, + { + "epoch": 0.81, + "learning_rate": 8.939459113251408e-07, + "loss": 0.7796, + "step": 1625 + }, + { + "epoch": 0.81, + "learning_rate": 8.893310109862102e-07, + "loss": 0.7762, + "step": 1626 + }, + { + "epoch": 0.81, + "learning_rate": 8.847268903974854e-07, + "loss": 0.7721, + "step": 1627 + }, + { + "epoch": 0.81, + "learning_rate": 8.801335616327378e-07, + "loss": 0.79, + "step": 1628 + }, + { + "epoch": 0.81, + "learning_rate": 8.755510367374365e-07, + "loss": 0.7873, + "step": 1629 + }, + { + "epoch": 0.81, + "learning_rate": 8.709793277287182e-07, + "loss": 0.7849, + "step": 1630 + }, + { + "epoch": 0.82, + "learning_rate": 8.664184465953557e-07, + "loss": 0.7819, + "step": 1631 + }, + { + "epoch": 0.82, + "learning_rate": 8.618684052977305e-07, + "loss": 0.7824, + "step": 1632 + }, + { + "epoch": 0.82, + "learning_rate": 8.573292157677943e-07, + "loss": 0.7814, + "step": 1633 + }, + { + "epoch": 0.82, + "learning_rate": 8.528008899090412e-07, + "loss": 0.7659, + "step": 1634 + }, + { + "epoch": 0.82, + "learning_rate": 8.4828343959648e-07, + "loss": 0.7818, + "step": 1635 + }, + { + "epoch": 0.82, + "learning_rate": 8.437768766765975e-07, + "loss": 0.7692, + "step": 1636 + }, + { + "epoch": 0.82, + "learning_rate": 8.392812129673278e-07, + "loss": 0.7725, + "step": 1637 + }, + { + "epoch": 0.82, + "learning_rate": 8.347964602580245e-07, + "loss": 0.7927, + "step": 1638 + }, + { + "epoch": 0.82, + "learning_rate": 8.30322630309432e-07, + "loss": 0.7813, + "step": 1639 + }, + { + "epoch": 0.82, + "learning_rate": 8.258597348536452e-07, + "loss": 0.7818, + "step": 1640 + }, + { + "epoch": 0.82, + "learning_rate": 8.214077855940861e-07, + "loss": 0.7851, + "step": 1641 + }, + { + "epoch": 0.82, + "learning_rate": 8.16966794205476e-07, + "loss": 0.7685, + "step": 1642 + }, + { + "epoch": 0.82, + "learning_rate": 8.125367723337957e-07, + "loss": 0.7797, + "step": 1643 + }, + { + "epoch": 0.82, + "learning_rate": 8.081177315962601e-07, + "loss": 0.7764, + "step": 1644 + }, + { + "epoch": 0.82, + "learning_rate": 8.037096835812885e-07, + "loss": 0.7781, + "step": 1645 + }, + { + "epoch": 0.82, + "learning_rate": 7.993126398484741e-07, + "loss": 0.7829, + "step": 1646 + }, + { + "epoch": 0.82, + "learning_rate": 7.949266119285515e-07, + "loss": 0.7807, + "step": 1647 + }, + { + "epoch": 0.82, + "learning_rate": 7.905516113233652e-07, + "loss": 0.7883, + "step": 1648 + }, + { + "epoch": 0.82, + "learning_rate": 7.861876495058474e-07, + "loss": 0.7917, + "step": 1649 + }, + { + "epoch": 0.82, + "learning_rate": 7.818347379199781e-07, + "loss": 0.8002, + "step": 1650 + }, + { + "epoch": 0.83, + "learning_rate": 7.774928879807598e-07, + "loss": 0.7701, + "step": 1651 + }, + { + "epoch": 0.83, + "learning_rate": 7.731621110741871e-07, + "loss": 0.7768, + "step": 1652 + }, + { + "epoch": 0.83, + "learning_rate": 7.688424185572202e-07, + "loss": 0.7739, + "step": 1653 + }, + { + "epoch": 0.83, + "learning_rate": 7.645338217577474e-07, + "loss": 0.7795, + "step": 1654 + }, + { + "epoch": 0.83, + "learning_rate": 7.60236331974561e-07, + "loss": 0.7869, + "step": 1655 + }, + { + "epoch": 0.83, + "learning_rate": 7.55949960477328e-07, + "loss": 0.7642, + "step": 1656 + }, + { + "epoch": 0.83, + "learning_rate": 7.516747185065581e-07, + "loss": 0.7796, + "step": 1657 + }, + { + "epoch": 0.83, + "learning_rate": 7.474106172735746e-07, + "loss": 0.7773, + "step": 1658 + }, + { + "epoch": 0.83, + "learning_rate": 7.431576679604846e-07, + "loss": 0.7775, + "step": 1659 + }, + { + "epoch": 0.83, + "learning_rate": 7.389158817201541e-07, + "loss": 0.7871, + "step": 1660 + }, + { + "epoch": 0.83, + "learning_rate": 7.346852696761725e-07, + "loss": 0.7832, + "step": 1661 + }, + { + "epoch": 0.83, + "learning_rate": 7.304658429228245e-07, + "loss": 0.7741, + "step": 1662 + }, + { + "epoch": 0.83, + "learning_rate": 7.262576125250681e-07, + "loss": 0.776, + "step": 1663 + }, + { + "epoch": 0.83, + "learning_rate": 7.220605895184946e-07, + "loss": 0.7727, + "step": 1664 + }, + { + "epoch": 0.83, + "learning_rate": 7.178747849093093e-07, + "loss": 0.7654, + "step": 1665 + }, + { + "epoch": 0.83, + "learning_rate": 7.13700209674294e-07, + "loss": 0.773, + "step": 1666 + }, + { + "epoch": 0.83, + "learning_rate": 7.095368747607873e-07, + "loss": 0.7704, + "step": 1667 + }, + { + "epoch": 0.83, + "learning_rate": 7.053847910866513e-07, + "loss": 0.785, + "step": 1668 + }, + { + "epoch": 0.83, + "learning_rate": 7.012439695402395e-07, + "loss": 0.7778, + "step": 1669 + }, + { + "epoch": 0.83, + "learning_rate": 6.971144209803738e-07, + "loss": 0.7808, + "step": 1670 + }, + { + "epoch": 0.84, + "learning_rate": 6.929961562363141e-07, + "loss": 0.7758, + "step": 1671 + }, + { + "epoch": 0.84, + "learning_rate": 6.888891861077301e-07, + "loss": 0.7839, + "step": 1672 + }, + { + "epoch": 0.84, + "learning_rate": 6.847935213646705e-07, + "loss": 0.7727, + "step": 1673 + }, + { + "epoch": 0.84, + "learning_rate": 6.807091727475412e-07, + "loss": 0.776, + "step": 1674 + }, + { + "epoch": 0.84, + "learning_rate": 6.766361509670688e-07, + "loss": 0.7793, + "step": 1675 + }, + { + "epoch": 0.84, + "learning_rate": 6.725744667042778e-07, + "loss": 0.7744, + "step": 1676 + }, + { + "epoch": 0.84, + "learning_rate": 6.685241306104612e-07, + "loss": 0.7777, + "step": 1677 + }, + { + "epoch": 0.84, + "learning_rate": 6.644851533071556e-07, + "loss": 0.7816, + "step": 1678 + }, + { + "epoch": 0.84, + "learning_rate": 6.604575453861062e-07, + "loss": 0.7815, + "step": 1679 + }, + { + "epoch": 0.84, + "learning_rate": 6.564413174092443e-07, + "loss": 0.7808, + "step": 1680 + }, + { + "epoch": 0.84, + "learning_rate": 6.524364799086624e-07, + "loss": 0.7712, + "step": 1681 + }, + { + "epoch": 0.84, + "learning_rate": 6.484430433865785e-07, + "loss": 0.7955, + "step": 1682 + }, + { + "epoch": 0.84, + "learning_rate": 6.444610183153138e-07, + "loss": 0.7725, + "step": 1683 + }, + { + "epoch": 0.84, + "learning_rate": 6.404904151372649e-07, + "loss": 0.7778, + "step": 1684 + }, + { + "epoch": 0.84, + "learning_rate": 6.365312442648768e-07, + "loss": 0.7609, + "step": 1685 + }, + { + "epoch": 0.84, + "learning_rate": 6.325835160806132e-07, + "loss": 0.7805, + "step": 1686 + }, + { + "epoch": 0.84, + "learning_rate": 6.286472409369293e-07, + "loss": 0.7716, + "step": 1687 + }, + { + "epoch": 0.84, + "learning_rate": 6.24722429156251e-07, + "loss": 0.7771, + "step": 1688 + }, + { + "epoch": 0.84, + "learning_rate": 6.208090910309372e-07, + "loss": 0.7845, + "step": 1689 + }, + { + "epoch": 0.84, + "learning_rate": 6.16907236823262e-07, + "loss": 0.7816, + "step": 1690 + }, + { + "epoch": 0.85, + "learning_rate": 6.130168767653815e-07, + "loss": 0.7876, + "step": 1691 + }, + { + "epoch": 0.85, + "learning_rate": 6.091380210593145e-07, + "loss": 0.7793, + "step": 1692 + }, + { + "epoch": 0.85, + "learning_rate": 6.052706798769054e-07, + "loss": 0.7671, + "step": 1693 + }, + { + "epoch": 0.85, + "learning_rate": 6.014148633598055e-07, + "loss": 0.7771, + "step": 1694 + }, + { + "epoch": 0.85, + "learning_rate": 5.97570581619446e-07, + "loss": 0.7774, + "step": 1695 + }, + { + "epoch": 0.85, + "learning_rate": 5.937378447370068e-07, + "loss": 0.7873, + "step": 1696 + }, + { + "epoch": 0.85, + "learning_rate": 5.899166627633928e-07, + "loss": 0.7873, + "step": 1697 + }, + { + "epoch": 0.85, + "learning_rate": 5.861070457192081e-07, + "loss": 0.7805, + "step": 1698 + }, + { + "epoch": 0.85, + "learning_rate": 5.823090035947304e-07, + "loss": 0.7832, + "step": 1699 + }, + { + "epoch": 0.85, + "learning_rate": 5.785225463498828e-07, + "loss": 0.7872, + "step": 1700 + }, + { + "epoch": 0.85, + "learning_rate": 5.747476839142052e-07, + "loss": 0.7666, + "step": 1701 + }, + { + "epoch": 0.85, + "learning_rate": 5.709844261868381e-07, + "loss": 0.7719, + "step": 1702 + }, + { + "epoch": 0.85, + "learning_rate": 5.672327830364838e-07, + "loss": 0.7911, + "step": 1703 + }, + { + "epoch": 0.85, + "learning_rate": 5.634927643013899e-07, + "loss": 0.7846, + "step": 1704 + }, + { + "epoch": 0.85, + "learning_rate": 5.597643797893176e-07, + "loss": 0.7722, + "step": 1705 + }, + { + "epoch": 0.85, + "learning_rate": 5.560476392775239e-07, + "loss": 0.7935, + "step": 1706 + }, + { + "epoch": 0.85, + "learning_rate": 5.523425525127252e-07, + "loss": 0.7791, + "step": 1707 + }, + { + "epoch": 0.85, + "learning_rate": 5.486491292110796e-07, + "loss": 0.7752, + "step": 1708 + }, + { + "epoch": 0.85, + "learning_rate": 5.449673790581611e-07, + "loss": 0.7725, + "step": 1709 + }, + { + "epoch": 0.85, + "learning_rate": 5.412973117089288e-07, + "loss": 0.7765, + "step": 1710 + }, + { + "epoch": 0.86, + "learning_rate": 5.376389367877061e-07, + "loss": 0.7666, + "step": 1711 + }, + { + "epoch": 0.86, + "learning_rate": 5.339922638881545e-07, + "loss": 0.7712, + "step": 1712 + }, + { + "epoch": 0.86, + "learning_rate": 5.303573025732506e-07, + "loss": 0.7746, + "step": 1713 + }, + { + "epoch": 0.86, + "learning_rate": 5.267340623752554e-07, + "loss": 0.7877, + "step": 1714 + }, + { + "epoch": 0.86, + "learning_rate": 5.231225527956924e-07, + "loss": 0.7847, + "step": 1715 + }, + { + "epoch": 0.86, + "learning_rate": 5.195227833053273e-07, + "loss": 0.7853, + "step": 1716 + }, + { + "epoch": 0.86, + "learning_rate": 5.159347633441348e-07, + "loss": 0.7775, + "step": 1717 + }, + { + "epoch": 0.86, + "learning_rate": 5.123585023212785e-07, + "loss": 0.7795, + "step": 1718 + }, + { + "epoch": 0.86, + "learning_rate": 5.087940096150857e-07, + "loss": 0.7847, + "step": 1719 + }, + { + "epoch": 0.86, + "learning_rate": 5.05241294573024e-07, + "loss": 0.7824, + "step": 1720 + }, + { + "epoch": 0.86, + "learning_rate": 5.017003665116743e-07, + "loss": 0.7818, + "step": 1721 + }, + { + "epoch": 0.86, + "learning_rate": 4.981712347167061e-07, + "loss": 0.7793, + "step": 1722 + }, + { + "epoch": 0.86, + "learning_rate": 4.946539084428587e-07, + "loss": 0.7864, + "step": 1723 + }, + { + "epoch": 0.86, + "learning_rate": 4.911483969139086e-07, + "loss": 0.7734, + "step": 1724 + }, + { + "epoch": 0.86, + "learning_rate": 4.876547093226514e-07, + "loss": 0.7706, + "step": 1725 + }, + { + "epoch": 0.86, + "learning_rate": 4.841728548308744e-07, + "loss": 0.7799, + "step": 1726 + }, + { + "epoch": 0.86, + "learning_rate": 4.807028425693372e-07, + "loss": 0.7784, + "step": 1727 + }, + { + "epoch": 0.86, + "learning_rate": 4.772446816377408e-07, + "loss": 0.7896, + "step": 1728 + }, + { + "epoch": 0.86, + "learning_rate": 4.7379838110471034e-07, + "loss": 0.7763, + "step": 1729 + }, + { + "epoch": 0.86, + "learning_rate": 4.7036395000776556e-07, + "loss": 0.7878, + "step": 1730 + }, + { + "epoch": 0.87, + "learning_rate": 4.669413973533038e-07, + "loss": 0.7761, + "step": 1731 + }, + { + "epoch": 0.87, + "learning_rate": 4.6353073211656886e-07, + "loss": 0.7722, + "step": 1732 + }, + { + "epoch": 0.87, + "learning_rate": 4.6013196324163346e-07, + "loss": 0.7723, + "step": 1733 + }, + { + "epoch": 0.87, + "learning_rate": 4.5674509964137136e-07, + "loss": 0.7814, + "step": 1734 + }, + { + "epoch": 0.87, + "learning_rate": 4.5337015019743915e-07, + "loss": 0.7734, + "step": 1735 + }, + { + "epoch": 0.87, + "learning_rate": 4.5000712376024826e-07, + "loss": 0.7812, + "step": 1736 + }, + { + "epoch": 0.87, + "learning_rate": 4.4665602914894137e-07, + "loss": 0.7628, + "step": 1737 + }, + { + "epoch": 0.87, + "learning_rate": 4.4331687515137614e-07, + "loss": 0.7798, + "step": 1738 + }, + { + "epoch": 0.87, + "learning_rate": 4.3998967052409357e-07, + "loss": 0.779, + "step": 1739 + }, + { + "epoch": 0.87, + "learning_rate": 4.3667442399229985e-07, + "loss": 0.7969, + "step": 1740 + }, + { + "epoch": 0.87, + "learning_rate": 4.3337114424984115e-07, + "loss": 0.7699, + "step": 1741 + }, + { + "epoch": 0.87, + "learning_rate": 4.30079839959186e-07, + "loss": 0.7746, + "step": 1742 + }, + { + "epoch": 0.87, + "learning_rate": 4.2680051975139526e-07, + "loss": 0.7815, + "step": 1743 + }, + { + "epoch": 0.87, + "learning_rate": 4.2353319222610265e-07, + "loss": 0.7892, + "step": 1744 + }, + { + "epoch": 0.87, + "learning_rate": 4.2027786595149555e-07, + "loss": 0.7847, + "step": 1745 + }, + { + "epoch": 0.87, + "learning_rate": 4.1703454946428635e-07, + "loss": 0.7746, + "step": 1746 + }, + { + "epoch": 0.87, + "learning_rate": 4.1380325126969545e-07, + "loss": 0.7818, + "step": 1747 + }, + { + "epoch": 0.87, + "learning_rate": 4.1058397984142405e-07, + "loss": 0.7781, + "step": 1748 + }, + { + "epoch": 0.87, + "learning_rate": 4.0737674362163804e-07, + "loss": 0.7751, + "step": 1749 + }, + { + "epoch": 0.88, + "learning_rate": 4.041815510209396e-07, + "loss": 0.7701, + "step": 1750 + }, + { + "epoch": 0.88, + "learning_rate": 4.009984104183479e-07, + "loss": 0.7634, + "step": 1751 + }, + { + "epoch": 0.88, + "learning_rate": 3.9782733016128006e-07, + "loss": 0.7837, + "step": 1752 + }, + { + "epoch": 0.88, + "learning_rate": 3.9466831856552315e-07, + "loss": 0.7763, + "step": 1753 + }, + { + "epoch": 0.88, + "learning_rate": 3.9152138391521766e-07, + "loss": 0.7728, + "step": 1754 + }, + { + "epoch": 0.88, + "learning_rate": 3.883865344628307e-07, + "loss": 0.7746, + "step": 1755 + }, + { + "epoch": 0.88, + "learning_rate": 3.852637784291424e-07, + "loss": 0.7781, + "step": 1756 + }, + { + "epoch": 0.88, + "learning_rate": 3.8215312400321504e-07, + "loss": 0.7773, + "step": 1757 + }, + { + "epoch": 0.88, + "learning_rate": 3.790545793423761e-07, + "loss": 0.7724, + "step": 1758 + }, + { + "epoch": 0.88, + "learning_rate": 3.759681525721998e-07, + "loss": 0.7784, + "step": 1759 + }, + { + "epoch": 0.88, + "learning_rate": 3.728938517864794e-07, + "loss": 0.7777, + "step": 1760 + }, + { + "epoch": 0.88, + "learning_rate": 3.6983168504721e-07, + "loss": 0.7722, + "step": 1761 + }, + { + "epoch": 0.88, + "learning_rate": 3.667816603845681e-07, + "loss": 0.7686, + "step": 1762 + }, + { + "epoch": 0.88, + "learning_rate": 3.637437857968873e-07, + "loss": 0.7832, + "step": 1763 + }, + { + "epoch": 0.88, + "learning_rate": 3.60718069250639e-07, + "loss": 0.7754, + "step": 1764 + }, + { + "epoch": 0.88, + "learning_rate": 3.577045186804118e-07, + "loss": 0.7818, + "step": 1765 + }, + { + "epoch": 0.88, + "learning_rate": 3.547031419888919e-07, + "loss": 0.7773, + "step": 1766 + }, + { + "epoch": 0.88, + "learning_rate": 3.517139470468395e-07, + "loss": 0.7734, + "step": 1767 + }, + { + "epoch": 0.88, + "learning_rate": 3.4873694169306915e-07, + "loss": 0.7843, + "step": 1768 + }, + { + "epoch": 0.88, + "learning_rate": 3.4577213373443163e-07, + "loss": 0.7891, + "step": 1769 + }, + { + "epoch": 0.89, + "learning_rate": 3.4281953094578877e-07, + "loss": 0.7779, + "step": 1770 + }, + { + "epoch": 0.89, + "learning_rate": 3.3987914106999865e-07, + "loss": 0.7689, + "step": 1771 + }, + { + "epoch": 0.89, + "learning_rate": 3.369509718178887e-07, + "loss": 0.7704, + "step": 1772 + }, + { + "epoch": 0.89, + "learning_rate": 3.3403503086824383e-07, + "loss": 0.7816, + "step": 1773 + }, + { + "epoch": 0.89, + "learning_rate": 3.3113132586777786e-07, + "loss": 0.7815, + "step": 1774 + }, + { + "epoch": 0.89, + "learning_rate": 3.2823986443111856e-07, + "loss": 0.7778, + "step": 1775 + }, + { + "epoch": 0.89, + "learning_rate": 3.2536065414078724e-07, + "loss": 0.7801, + "step": 1776 + }, + { + "epoch": 0.89, + "learning_rate": 3.2249370254717747e-07, + "loss": 0.7855, + "step": 1777 + }, + { + "epoch": 0.89, + "learning_rate": 3.196390171685343e-07, + "loss": 0.7744, + "step": 1778 + }, + { + "epoch": 0.89, + "learning_rate": 3.167966054909377e-07, + "loss": 0.7669, + "step": 1779 + }, + { + "epoch": 0.89, + "learning_rate": 3.1396647496828245e-07, + "loss": 0.7955, + "step": 1780 + }, + { + "epoch": 0.89, + "learning_rate": 3.111486330222541e-07, + "loss": 0.7777, + "step": 1781 + }, + { + "epoch": 0.89, + "learning_rate": 3.0834308704231485e-07, + "loss": 0.7897, + "step": 1782 + }, + { + "epoch": 0.89, + "learning_rate": 3.05549844385683e-07, + "loss": 0.77, + "step": 1783 + }, + { + "epoch": 0.89, + "learning_rate": 3.0276891237731085e-07, + "loss": 0.7847, + "step": 1784 + }, + { + "epoch": 0.89, + "learning_rate": 3.0000029830986933e-07, + "loss": 0.7912, + "step": 1785 + }, + { + "epoch": 0.89, + "learning_rate": 2.97244009443724e-07, + "loss": 0.7789, + "step": 1786 + }, + { + "epoch": 0.89, + "learning_rate": 2.945000530069242e-07, + "loss": 0.7926, + "step": 1787 + }, + { + "epoch": 0.89, + "learning_rate": 2.917684361951728e-07, + "loss": 0.7734, + "step": 1788 + }, + { + "epoch": 0.89, + "learning_rate": 2.890491661718187e-07, + "loss": 0.7795, + "step": 1789 + }, + { + "epoch": 0.9, + "learning_rate": 2.8634225006782867e-07, + "loss": 0.7925, + "step": 1790 + }, + { + "epoch": 0.9, + "learning_rate": 2.836476949817762e-07, + "loss": 0.78, + "step": 1791 + }, + { + "epoch": 0.9, + "learning_rate": 2.809655079798179e-07, + "loss": 0.7773, + "step": 1792 + }, + { + "epoch": 0.9, + "learning_rate": 2.7829569609567566e-07, + "loss": 0.7784, + "step": 1793 + }, + { + "epoch": 0.9, + "learning_rate": 2.75638266330619e-07, + "loss": 0.787, + "step": 1794 + }, + { + "epoch": 0.9, + "learning_rate": 2.7299322565344956e-07, + "loss": 0.7622, + "step": 1795 + }, + { + "epoch": 0.9, + "learning_rate": 2.7036058100047723e-07, + "loss": 0.7755, + "step": 1796 + }, + { + "epoch": 0.9, + "learning_rate": 2.6774033927550567e-07, + "loss": 0.7726, + "step": 1797 + }, + { + "epoch": 0.9, + "learning_rate": 2.65132507349814e-07, + "loss": 0.7738, + "step": 1798 + }, + { + "epoch": 0.9, + "learning_rate": 2.6253709206213676e-07, + "loss": 0.7722, + "step": 1799 + }, + { + "epoch": 0.9, + "learning_rate": 2.599541002186479e-07, + "loss": 0.779, + "step": 1800 + }, + { + "epoch": 0.9, + "learning_rate": 2.573835385929424e-07, + "loss": 0.7811, + "step": 1801 + }, + { + "epoch": 0.9, + "learning_rate": 2.5482541392601924e-07, + "loss": 0.7742, + "step": 1802 + }, + { + "epoch": 0.9, + "learning_rate": 2.522797329262616e-07, + "loss": 0.772, + "step": 1803 + }, + { + "epoch": 0.9, + "learning_rate": 2.497465022694207e-07, + "loss": 0.776, + "step": 1804 + }, + { + "epoch": 0.9, + "learning_rate": 2.4722572859859907e-07, + "loss": 0.7933, + "step": 1805 + }, + { + "epoch": 0.9, + "learning_rate": 2.447174185242324e-07, + "loss": 0.7831, + "step": 1806 + }, + { + "epoch": 0.9, + "learning_rate": 2.422215786240706e-07, + "loss": 0.7863, + "step": 1807 + }, + { + "epoch": 0.9, + "learning_rate": 2.397382154431621e-07, + "loss": 0.7807, + "step": 1808 + }, + { + "epoch": 0.9, + "learning_rate": 2.372673354938393e-07, + "loss": 0.787, + "step": 1809 + }, + { + "epoch": 0.91, + "learning_rate": 2.3480894525569564e-07, + "loss": 0.7748, + "step": 1810 + }, + { + "epoch": 0.91, + "learning_rate": 2.3236305117557257e-07, + "loss": 0.7707, + "step": 1811 + }, + { + "epoch": 0.91, + "learning_rate": 2.2992965966754378e-07, + "loss": 0.7805, + "step": 1812 + }, + { + "epoch": 0.91, + "learning_rate": 2.275087771128931e-07, + "loss": 0.7832, + "step": 1813 + }, + { + "epoch": 0.91, + "learning_rate": 2.251004098601034e-07, + "loss": 0.7813, + "step": 1814 + }, + { + "epoch": 0.91, + "learning_rate": 2.2270456422483655e-07, + "loss": 0.7792, + "step": 1815 + }, + { + "epoch": 0.91, + "learning_rate": 2.2032124648992015e-07, + "loss": 0.7807, + "step": 1816 + }, + { + "epoch": 0.91, + "learning_rate": 2.1795046290532528e-07, + "loss": 0.782, + "step": 1817 + }, + { + "epoch": 0.91, + "learning_rate": 2.1559221968815547e-07, + "loss": 0.7722, + "step": 1818 + }, + { + "epoch": 0.91, + "learning_rate": 2.132465230226305e-07, + "loss": 0.7747, + "step": 1819 + }, + { + "epoch": 0.91, + "learning_rate": 2.109133790600648e-07, + "loss": 0.7887, + "step": 1820 + }, + { + "epoch": 0.91, + "learning_rate": 2.08592793918857e-07, + "loss": 0.7707, + "step": 1821 + }, + { + "epoch": 0.91, + "learning_rate": 2.062847736844703e-07, + "loss": 0.7614, + "step": 1822 + }, + { + "epoch": 0.91, + "learning_rate": 2.0398932440941989e-07, + "loss": 0.785, + "step": 1823 + }, + { + "epoch": 0.91, + "learning_rate": 2.0170645211325335e-07, + "loss": 0.7809, + "step": 1824 + }, + { + "epoch": 0.91, + "learning_rate": 1.994361627825364e-07, + "loss": 0.7986, + "step": 1825 + }, + { + "epoch": 0.91, + "learning_rate": 1.9717846237084005e-07, + "loss": 0.776, + "step": 1826 + }, + { + "epoch": 0.91, + "learning_rate": 1.9493335679871883e-07, + "loss": 0.7705, + "step": 1827 + }, + { + "epoch": 0.91, + "learning_rate": 1.9270085195370048e-07, + "loss": 0.7749, + "step": 1828 + }, + { + "epoch": 0.91, + "learning_rate": 1.9048095369026908e-07, + "loss": 0.7744, + "step": 1829 + }, + { + "epoch": 0.92, + "learning_rate": 1.8827366782984913e-07, + "loss": 0.7894, + "step": 1830 + }, + { + "epoch": 0.92, + "learning_rate": 1.860790001607904e-07, + "loss": 0.7724, + "step": 1831 + }, + { + "epoch": 0.92, + "learning_rate": 1.838969564383525e-07, + "loss": 0.7821, + "step": 1832 + }, + { + "epoch": 0.92, + "learning_rate": 1.8172754238469148e-07, + "loss": 0.7627, + "step": 1833 + }, + { + "epoch": 0.92, + "learning_rate": 1.7957076368884274e-07, + "loss": 0.7693, + "step": 1834 + }, + { + "epoch": 0.92, + "learning_rate": 1.7742662600670645e-07, + "loss": 0.7677, + "step": 1835 + }, + { + "epoch": 0.92, + "learning_rate": 1.7529513496103322e-07, + "loss": 0.7786, + "step": 1836 + }, + { + "epoch": 0.92, + "learning_rate": 1.7317629614141128e-07, + "loss": 0.7868, + "step": 1837 + }, + { + "epoch": 0.92, + "learning_rate": 1.7107011510424766e-07, + "loss": 0.7796, + "step": 1838 + }, + { + "epoch": 0.92, + "learning_rate": 1.689765973727564e-07, + "loss": 0.7787, + "step": 1839 + }, + { + "epoch": 0.92, + "learning_rate": 1.6689574843694433e-07, + "loss": 0.7829, + "step": 1840 + }, + { + "epoch": 0.92, + "learning_rate": 1.6482757375359482e-07, + "loss": 0.7782, + "step": 1841 + }, + { + "epoch": 0.92, + "learning_rate": 1.6277207874625444e-07, + "loss": 0.786, + "step": 1842 + }, + { + "epoch": 0.92, + "learning_rate": 1.6072926880521922e-07, + "loss": 0.7836, + "step": 1843 + }, + { + "epoch": 0.92, + "learning_rate": 1.5869914928752117e-07, + "loss": 0.7757, + "step": 1844 + }, + { + "epoch": 0.92, + "learning_rate": 1.5668172551691174e-07, + "loss": 0.7685, + "step": 1845 + }, + { + "epoch": 0.92, + "learning_rate": 1.546770027838479e-07, + "loss": 0.7786, + "step": 1846 + }, + { + "epoch": 0.92, + "learning_rate": 1.526849863454838e-07, + "loss": 0.7872, + "step": 1847 + }, + { + "epoch": 0.92, + "learning_rate": 1.5070568142564912e-07, + "loss": 0.7695, + "step": 1848 + }, + { + "epoch": 0.92, + "learning_rate": 1.4873909321483915e-07, + "loss": 0.7744, + "step": 1849 + }, + { + "epoch": 0.93, + "learning_rate": 1.4678522687020414e-07, + "loss": 0.7791, + "step": 1850 + }, + { + "epoch": 0.93, + "learning_rate": 1.4484408751552992e-07, + "loss": 0.7836, + "step": 1851 + }, + { + "epoch": 0.93, + "learning_rate": 1.4291568024122848e-07, + "loss": 0.7707, + "step": 1852 + }, + { + "epoch": 0.93, + "learning_rate": 1.4100001010432295e-07, + "loss": 0.7822, + "step": 1853 + }, + { + "epoch": 0.93, + "learning_rate": 1.390970821284343e-07, + "loss": 0.7877, + "step": 1854 + }, + { + "epoch": 0.93, + "learning_rate": 1.3720690130377024e-07, + "loss": 0.7752, + "step": 1855 + }, + { + "epoch": 0.93, + "learning_rate": 1.3532947258710905e-07, + "loss": 0.7804, + "step": 1856 + }, + { + "epoch": 0.93, + "learning_rate": 1.334648009017886e-07, + "loss": 0.7805, + "step": 1857 + }, + { + "epoch": 0.93, + "learning_rate": 1.3161289113769405e-07, + "loss": 0.7706, + "step": 1858 + }, + { + "epoch": 0.93, + "learning_rate": 1.2977374815124178e-07, + "loss": 0.7703, + "step": 1859 + }, + { + "epoch": 0.93, + "learning_rate": 1.2794737676536993e-07, + "loss": 0.7859, + "step": 1860 + }, + { + "epoch": 0.93, + "learning_rate": 1.2613378176952462e-07, + "loss": 0.7795, + "step": 1861 + }, + { + "epoch": 0.93, + "learning_rate": 1.2433296791964754e-07, + "loss": 0.7829, + "step": 1862 + }, + { + "epoch": 0.93, + "learning_rate": 1.225449399381634e-07, + "loss": 0.771, + "step": 1863 + }, + { + "epoch": 0.93, + "learning_rate": 1.2076970251396593e-07, + "loss": 0.7826, + "step": 1864 + }, + { + "epoch": 0.93, + "learning_rate": 1.1900726030241005e-07, + "loss": 0.7703, + "step": 1865 + }, + { + "epoch": 0.93, + "learning_rate": 1.1725761792529378e-07, + "loss": 0.7788, + "step": 1866 + }, + { + "epoch": 0.93, + "learning_rate": 1.1552077997085021e-07, + "loss": 0.7809, + "step": 1867 + }, + { + "epoch": 0.93, + "learning_rate": 1.1379675099373489e-07, + "loss": 0.7742, + "step": 1868 + }, + { + "epoch": 0.93, + "learning_rate": 1.12085535515013e-07, + "loss": 0.7752, + "step": 1869 + }, + { + "epoch": 0.94, + "learning_rate": 1.1038713802214718e-07, + "loss": 0.7722, + "step": 1870 + }, + { + "epoch": 0.94, + "learning_rate": 1.0870156296898637e-07, + "loss": 0.7781, + "step": 1871 + }, + { + "epoch": 0.94, + "learning_rate": 1.0702881477575589e-07, + "loss": 0.7942, + "step": 1872 + }, + { + "epoch": 0.94, + "learning_rate": 1.0536889782904236e-07, + "loss": 0.7662, + "step": 1873 + }, + { + "epoch": 0.94, + "learning_rate": 1.0372181648178436e-07, + "loss": 0.7849, + "step": 1874 + }, + { + "epoch": 0.94, + "learning_rate": 1.0208757505326016e-07, + "loss": 0.776, + "step": 1875 + }, + { + "epoch": 0.94, + "learning_rate": 1.004661778290783e-07, + "loss": 0.7763, + "step": 1876 + }, + { + "epoch": 0.94, + "learning_rate": 9.88576290611637e-08, + "loss": 0.7605, + "step": 1877 + }, + { + "epoch": 0.94, + "learning_rate": 9.726193296774767e-08, + "loss": 0.7744, + "step": 1878 + }, + { + "epoch": 0.94, + "learning_rate": 9.567909373335794e-08, + "loss": 0.7754, + "step": 1879 + }, + { + "epoch": 0.94, + "learning_rate": 9.410911550880474e-08, + "loss": 0.7735, + "step": 1880 + }, + { + "epoch": 0.94, + "learning_rate": 9.255200241117424e-08, + "loss": 0.7669, + "step": 1881 + }, + { + "epoch": 0.94, + "learning_rate": 9.100775852381227e-08, + "loss": 0.774, + "step": 1882 + }, + { + "epoch": 0.94, + "learning_rate": 8.947638789632007e-08, + "loss": 0.7846, + "step": 1883 + }, + { + "epoch": 0.94, + "learning_rate": 8.795789454453862e-08, + "loss": 0.7785, + "step": 1884 + }, + { + "epoch": 0.94, + "learning_rate": 8.645228245053761e-08, + "loss": 0.7809, + "step": 1885 + }, + { + "epoch": 0.94, + "learning_rate": 8.495955556261204e-08, + "loss": 0.7847, + "step": 1886 + }, + { + "epoch": 0.94, + "learning_rate": 8.347971779526232e-08, + "loss": 0.7803, + "step": 1887 + }, + { + "epoch": 0.94, + "learning_rate": 8.201277302919086e-08, + "loss": 0.7729, + "step": 1888 + }, + { + "epoch": 0.94, + "learning_rate": 8.055872511128936e-08, + "loss": 0.7819, + "step": 1889 + }, + { + "epoch": 0.94, + "learning_rate": 7.911757785462882e-08, + "loss": 0.7796, + "step": 1890 + }, + { + "epoch": 0.95, + "learning_rate": 7.768933503845056e-08, + "loss": 0.7804, + "step": 1891 + }, + { + "epoch": 0.95, + "learning_rate": 7.627400040815414e-08, + "loss": 0.7822, + "step": 1892 + }, + { + "epoch": 0.95, + "learning_rate": 7.487157767529008e-08, + "loss": 0.7828, + "step": 1893 + }, + { + "epoch": 0.95, + "learning_rate": 7.34820705175482e-08, + "loss": 0.7732, + "step": 1894 + }, + { + "epoch": 0.95, + "learning_rate": 7.210548257874927e-08, + "loss": 0.7856, + "step": 1895 + }, + { + "epoch": 0.95, + "learning_rate": 7.074181746883402e-08, + "loss": 0.7561, + "step": 1896 + }, + { + "epoch": 0.95, + "learning_rate": 6.939107876385632e-08, + "loss": 0.7729, + "step": 1897 + }, + { + "epoch": 0.95, + "learning_rate": 6.805327000596995e-08, + "loss": 0.7828, + "step": 1898 + }, + { + "epoch": 0.95, + "learning_rate": 6.672839470342308e-08, + "loss": 0.7873, + "step": 1899 + }, + { + "epoch": 0.95, + "learning_rate": 6.54164563305465e-08, + "loss": 0.7641, + "step": 1900 + }, + { + "epoch": 0.95, + "learning_rate": 6.411745832774596e-08, + "loss": 0.7709, + "step": 1901 + }, + { + "epoch": 0.95, + "learning_rate": 6.283140410149213e-08, + "loss": 0.7681, + "step": 1902 + }, + { + "epoch": 0.95, + "learning_rate": 6.15582970243117e-08, + "loss": 0.7813, + "step": 1903 + }, + { + "epoch": 0.95, + "learning_rate": 6.029814043478022e-08, + "loss": 0.7802, + "step": 1904 + }, + { + "epoch": 0.95, + "learning_rate": 5.905093763751091e-08, + "loss": 0.7721, + "step": 1905 + }, + { + "epoch": 0.95, + "learning_rate": 5.781669190314809e-08, + "loss": 0.7849, + "step": 1906 + }, + { + "epoch": 0.95, + "learning_rate": 5.6595406468357705e-08, + "loss": 0.7766, + "step": 1907 + }, + { + "epoch": 0.95, + "learning_rate": 5.538708453581787e-08, + "loss": 0.7714, + "step": 1908 + }, + { + "epoch": 0.95, + "learning_rate": 5.4191729274212235e-08, + "loss": 0.7673, + "step": 1909 + }, + { + "epoch": 0.95, + "learning_rate": 5.3009343818219985e-08, + "loss": 0.7735, + "step": 1910 + }, + { + "epoch": 0.96, + "learning_rate": 5.183993126850972e-08, + "loss": 0.7701, + "step": 1911 + }, + { + "epoch": 0.96, + "learning_rate": 5.068349469173006e-08, + "loss": 0.7708, + "step": 1912 + }, + { + "epoch": 0.96, + "learning_rate": 4.954003712050015e-08, + "loss": 0.7782, + "step": 1913 + }, + { + "epoch": 0.96, + "learning_rate": 4.840956155340415e-08, + "loss": 0.7849, + "step": 1914 + }, + { + "epoch": 0.96, + "learning_rate": 4.729207095498345e-08, + "loss": 0.7799, + "step": 1915 + }, + { + "epoch": 0.96, + "learning_rate": 4.618756825572612e-08, + "loss": 0.7709, + "step": 1916 + }, + { + "epoch": 0.96, + "learning_rate": 4.5096056352061377e-08, + "loss": 0.7786, + "step": 1917 + }, + { + "epoch": 0.96, + "learning_rate": 4.40175381063529e-08, + "loss": 0.7809, + "step": 1918 + }, + { + "epoch": 0.96, + "learning_rate": 4.295201634688828e-08, + "loss": 0.7939, + "step": 1919 + }, + { + "epoch": 0.96, + "learning_rate": 4.189949386787462e-08, + "loss": 0.7827, + "step": 1920 + }, + { + "epoch": 0.96, + "learning_rate": 4.085997342942849e-08, + "loss": 0.7682, + "step": 1921 + }, + { + "epoch": 0.96, + "learning_rate": 3.9833457757572636e-08, + "loss": 0.7704, + "step": 1922 + }, + { + "epoch": 0.96, + "learning_rate": 3.8819949544223744e-08, + "loss": 0.7661, + "step": 1923 + }, + { + "epoch": 0.96, + "learning_rate": 3.781945144718912e-08, + "loss": 0.7681, + "step": 1924 + }, + { + "epoch": 0.96, + "learning_rate": 3.683196609015782e-08, + "loss": 0.7721, + "step": 1925 + }, + { + "epoch": 0.96, + "learning_rate": 3.585749606269562e-08, + "loss": 0.7776, + "step": 1926 + }, + { + "epoch": 0.96, + "learning_rate": 3.489604392023727e-08, + "loss": 0.7688, + "step": 1927 + }, + { + "epoch": 0.96, + "learning_rate": 3.394761218407705e-08, + "loss": 0.773, + "step": 1928 + }, + { + "epoch": 0.96, + "learning_rate": 3.301220334136879e-08, + "loss": 0.7911, + "step": 1929 + }, + { + "epoch": 0.96, + "learning_rate": 3.2089819845111946e-08, + "loss": 0.773, + "step": 1930 + }, + { + "epoch": 0.97, + "learning_rate": 3.1180464114149437e-08, + "loss": 0.7976, + "step": 1931 + }, + { + "epoch": 0.97, + "learning_rate": 3.0284138533160924e-08, + "loss": 0.7709, + "step": 1932 + }, + { + "epoch": 0.97, + "learning_rate": 2.9400845452656756e-08, + "loss": 0.7849, + "step": 1933 + }, + { + "epoch": 0.97, + "learning_rate": 2.8530587188968508e-08, + "loss": 0.7729, + "step": 1934 + }, + { + "epoch": 0.97, + "learning_rate": 2.767336602424786e-08, + "loss": 0.7792, + "step": 1935 + }, + { + "epoch": 0.97, + "learning_rate": 2.6829184206457194e-08, + "loss": 0.7685, + "step": 1936 + }, + { + "epoch": 0.97, + "learning_rate": 2.599804394936567e-08, + "loss": 0.7795, + "step": 1937 + }, + { + "epoch": 0.97, + "learning_rate": 2.5179947432540376e-08, + "loss": 0.7831, + "step": 1938 + }, + { + "epoch": 0.97, + "learning_rate": 2.437489680134464e-08, + "loss": 0.7828, + "step": 1939 + }, + { + "epoch": 0.97, + "learning_rate": 2.358289416693027e-08, + "loss": 0.7704, + "step": 1940 + }, + { + "epoch": 0.97, + "learning_rate": 2.280394160623145e-08, + "loss": 0.7786, + "step": 1941 + }, + { + "epoch": 0.97, + "learning_rate": 2.2038041161960288e-08, + "loss": 0.7805, + "step": 1942 + }, + { + "epoch": 0.97, + "learning_rate": 2.128519484260183e-08, + "loss": 0.7707, + "step": 1943 + }, + { + "epoch": 0.97, + "learning_rate": 2.0545404622407396e-08, + "loss": 0.7866, + "step": 1944 + }, + { + "epoch": 0.97, + "learning_rate": 1.981867244139124e-08, + "loss": 0.7878, + "step": 1945 + }, + { + "epoch": 0.97, + "learning_rate": 1.91050002053228e-08, + "loss": 0.7802, + "step": 1946 + }, + { + "epoch": 0.97, + "learning_rate": 1.840438978572556e-08, + "loss": 0.7756, + "step": 1947 + }, + { + "epoch": 0.97, + "learning_rate": 1.7716843019867646e-08, + "loss": 0.7806, + "step": 1948 + }, + { + "epoch": 0.97, + "learning_rate": 1.704236171076068e-08, + "loss": 0.7773, + "step": 1949 + }, + { + "epoch": 0.97, + "learning_rate": 1.6380947627153143e-08, + "loss": 0.7765, + "step": 1950 + }, + { + "epoch": 0.98, + "learning_rate": 1.5732602503526483e-08, + "loss": 0.7767, + "step": 1951 + }, + { + "epoch": 0.98, + "learning_rate": 1.509732804009012e-08, + "loss": 0.7564, + "step": 1952 + }, + { + "epoch": 0.98, + "learning_rate": 1.4475125902776999e-08, + "loss": 0.7724, + "step": 1953 + }, + { + "epoch": 0.98, + "learning_rate": 1.386599772324082e-08, + "loss": 0.7573, + "step": 1954 + }, + { + "epoch": 0.98, + "learning_rate": 1.3269945098847714e-08, + "loss": 0.7772, + "step": 1955 + }, + { + "epoch": 0.98, + "learning_rate": 1.268696959267679e-08, + "loss": 0.7786, + "step": 1956 + }, + { + "epoch": 0.98, + "learning_rate": 1.2117072733514035e-08, + "loss": 0.7869, + "step": 1957 + }, + { + "epoch": 0.98, + "learning_rate": 1.156025601584676e-08, + "loss": 0.7848, + "step": 1958 + }, + { + "epoch": 0.98, + "learning_rate": 1.1016520899861938e-08, + "loss": 0.7808, + "step": 1959 + }, + { + "epoch": 0.98, + "learning_rate": 1.0485868811441757e-08, + "loss": 0.786, + "step": 1960 + }, + { + "epoch": 0.98, + "learning_rate": 9.968301142159188e-09, + "loss": 0.7876, + "step": 1961 + }, + { + "epoch": 0.98, + "learning_rate": 9.463819249275751e-09, + "loss": 0.7762, + "step": 1962 + }, + { + "epoch": 0.98, + "learning_rate": 8.972424455735429e-09, + "loss": 0.7752, + "step": 1963 + }, + { + "epoch": 0.98, + "learning_rate": 8.494118050164646e-09, + "loss": 0.7794, + "step": 1964 + }, + { + "epoch": 0.98, + "learning_rate": 8.02890128686562e-09, + "loss": 0.7827, + "step": 1965 + }, + { + "epoch": 0.98, + "learning_rate": 7.576775385815249e-09, + "loss": 0.7828, + "step": 1966 + }, + { + "epoch": 0.98, + "learning_rate": 7.137741532660669e-09, + "loss": 0.7769, + "step": 1967 + }, + { + "epoch": 0.98, + "learning_rate": 6.711800878718144e-09, + "loss": 0.7725, + "step": 1968 + }, + { + "epoch": 0.98, + "learning_rate": 6.298954540965851e-09, + "loss": 0.7793, + "step": 1969 + }, + { + "epoch": 0.98, + "learning_rate": 5.899203602046655e-09, + "loss": 0.7727, + "step": 1970 + }, + { + "epoch": 0.99, + "learning_rate": 5.512549110259225e-09, + "loss": 0.7853, + "step": 1971 + }, + { + "epoch": 0.99, + "learning_rate": 5.138992079561367e-09, + "loss": 0.773, + "step": 1972 + }, + { + "epoch": 0.99, + "learning_rate": 4.778533489561699e-09, + "loss": 0.7947, + "step": 1973 + }, + { + "epoch": 0.99, + "learning_rate": 4.431174285521866e-09, + "loss": 0.7799, + "step": 1974 + }, + { + "epoch": 0.99, + "learning_rate": 4.096915378349886e-09, + "loss": 0.7837, + "step": 1975 + }, + { + "epoch": 0.99, + "learning_rate": 3.775757644601808e-09, + "loss": 0.7731, + "step": 1976 + }, + { + "epoch": 0.99, + "learning_rate": 3.4677019264750534e-09, + "loss": 0.776, + "step": 1977 + }, + { + "epoch": 0.99, + "learning_rate": 3.1727490318111953e-09, + "loss": 0.7807, + "step": 1978 + }, + { + "epoch": 0.99, + "learning_rate": 2.8908997340887367e-09, + "loss": 0.7676, + "step": 1979 + }, + { + "epoch": 0.99, + "learning_rate": 2.6221547724253337e-09, + "loss": 0.769, + "step": 1980 + }, + { + "epoch": 0.99, + "learning_rate": 2.366514851573354e-09, + "loss": 0.7667, + "step": 1981 + }, + { + "epoch": 0.99, + "learning_rate": 2.1239806419176556e-09, + "loss": 0.7728, + "step": 1982 + }, + { + "epoch": 0.99, + "learning_rate": 1.8945527794772543e-09, + "loss": 0.7774, + "step": 1983 + }, + { + "epoch": 0.99, + "learning_rate": 1.6782318658992159e-09, + "loss": 0.7879, + "step": 1984 + }, + { + "epoch": 0.99, + "learning_rate": 1.4750184684597657e-09, + "loss": 0.7758, + "step": 1985 + }, + { + "epoch": 0.99, + "learning_rate": 1.2849131200631804e-09, + "loss": 0.7757, + "step": 1986 + }, + { + "epoch": 0.99, + "learning_rate": 1.1079163192373455e-09, + "loss": 0.7791, + "step": 1987 + }, + { + "epoch": 0.99, + "learning_rate": 9.440285301370865e-10, + "loss": 0.784, + "step": 1988 + }, + { + "epoch": 0.99, + "learning_rate": 7.932501825380634e-10, + "loss": 0.773, + "step": 1989 + }, + { + "epoch": 0.99, + "learning_rate": 6.555816718389896e-10, + "loss": 0.779, + "step": 1990 + }, + { + "epoch": 1.0, + "learning_rate": 5.31023359060523e-10, + "loss": 0.766, + "step": 1991 + }, + { + "epoch": 1.0, + "learning_rate": 4.1957557084082447e-10, + "loss": 0.785, + "step": 1992 + }, + { + "epoch": 1.0, + "learning_rate": 3.2123859943944404e-10, + "loss": 0.783, + "step": 1993 + }, + { + "epoch": 1.0, + "learning_rate": 2.360127027339898e-10, + "loss": 0.7789, + "step": 1994 + }, + { + "epoch": 1.0, + "learning_rate": 1.6389810421846286e-10, + "loss": 0.7775, + "step": 1995 + }, + { + "epoch": 1.0, + "learning_rate": 1.0489499300603279e-10, + "loss": 0.7692, + "step": 1996 + }, + { + "epoch": 1.0, + "learning_rate": 5.900352382515184e-11, + "loss": 0.7737, + "step": 1997 + }, + { + "epoch": 1.0, + "learning_rate": 2.622381702066523e-11, + "loss": 0.7709, + "step": 1998 + }, + { + "epoch": 1.0, + "learning_rate": 6.55595855325597e-12, + "loss": 0.785, + "step": 1999 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 0.777, + "step": 2000 + }, + { + "epoch": 1.0, + "step": 2000, + "total_flos": 7.1263985286089015e+19, + "train_loss": 0.8273731040954589, + "train_runtime": 16224.5195, + "train_samples_per_second": 15.779, + "train_steps_per_second": 0.123 + } + ], + "logging_steps": 1.0, + "max_steps": 2000, + "num_input_tokens_seen": 0, + "num_train_epochs": 9223372036854775807, + "save_steps": 1000, + "total_flos": 7.1263985286089015e+19, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}