diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,13384 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.0, + "eval_steps": 500, + "global_step": 2226, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 7.462686567164179e-08, + "loss": 0.5746, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 1.4925373134328358e-07, + "loss": 0.5563, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 2.2388059701492537e-07, + "loss": 0.5234, + "step": 3 + }, + { + "epoch": 0.01, + "learning_rate": 2.9850746268656716e-07, + "loss": 0.5693, + "step": 4 + }, + { + "epoch": 0.01, + "learning_rate": 3.7313432835820895e-07, + "loss": 0.6562, + "step": 5 + }, + { + "epoch": 0.01, + "learning_rate": 4.4776119402985074e-07, + "loss": 0.5955, + "step": 6 + }, + { + "epoch": 0.01, + "learning_rate": 5.223880597014925e-07, + "loss": 0.5937, + "step": 7 + }, + { + "epoch": 0.01, + "learning_rate": 5.970149253731343e-07, + "loss": 0.5821, + "step": 8 + }, + { + "epoch": 0.01, + "learning_rate": 6.716417910447762e-07, + "loss": 0.55, + "step": 9 + }, + { + "epoch": 0.01, + "learning_rate": 7.462686567164179e-07, + "loss": 0.5693, + "step": 10 + }, + { + "epoch": 0.01, + "learning_rate": 8.208955223880598e-07, + "loss": 0.5531, + "step": 11 + }, + { + "epoch": 0.02, + "learning_rate": 8.955223880597015e-07, + "loss": 0.5315, + "step": 12 + }, + { + "epoch": 0.02, + "learning_rate": 9.701492537313434e-07, + "loss": 0.6685, + "step": 13 + }, + { + "epoch": 0.02, + "learning_rate": 1.044776119402985e-06, + "loss": 0.5379, + "step": 14 + }, + { + "epoch": 0.02, + "learning_rate": 1.119402985074627e-06, + "loss": 0.5377, + "step": 15 + }, + { + "epoch": 0.02, + "learning_rate": 1.1940298507462686e-06, + "loss": 0.5466, + "step": 16 + }, + { + "epoch": 0.02, + "learning_rate": 1.2686567164179105e-06, + "loss": 0.6086, + "step": 17 + }, + { + "epoch": 0.02, + "learning_rate": 1.3432835820895524e-06, + "loss": 0.5131, + "step": 18 + }, + { + "epoch": 0.03, + "learning_rate": 1.417910447761194e-06, + "loss": 0.5263, + "step": 19 + }, + { + "epoch": 0.03, + "learning_rate": 1.4925373134328358e-06, + "loss": 0.5474, + "step": 20 + }, + { + "epoch": 0.03, + "learning_rate": 1.5671641791044779e-06, + "loss": 0.5592, + "step": 21 + }, + { + "epoch": 0.03, + "learning_rate": 1.6417910447761196e-06, + "loss": 0.5207, + "step": 22 + }, + { + "epoch": 0.03, + "learning_rate": 1.7164179104477613e-06, + "loss": 0.6188, + "step": 23 + }, + { + "epoch": 0.03, + "learning_rate": 1.791044776119403e-06, + "loss": 0.5437, + "step": 24 + }, + { + "epoch": 0.03, + "learning_rate": 1.865671641791045e-06, + "loss": 0.5401, + "step": 25 + }, + { + "epoch": 0.04, + "learning_rate": 1.9402985074626867e-06, + "loss": 0.5536, + "step": 26 + }, + { + "epoch": 0.04, + "learning_rate": 2.0149253731343284e-06, + "loss": 0.4906, + "step": 27 + }, + { + "epoch": 0.04, + "learning_rate": 2.08955223880597e-06, + "loss": 0.5343, + "step": 28 + }, + { + "epoch": 0.04, + "learning_rate": 2.1641791044776118e-06, + "loss": 0.5978, + "step": 29 + }, + { + "epoch": 0.04, + "learning_rate": 2.238805970149254e-06, + "loss": 0.6082, + "step": 30 + }, + { + "epoch": 0.04, + "learning_rate": 2.3134328358208956e-06, + "loss": 0.5125, + "step": 31 + }, + { + "epoch": 0.04, + "learning_rate": 2.3880597014925373e-06, + "loss": 0.5909, + "step": 32 + }, + { + "epoch": 0.04, + "learning_rate": 2.4626865671641794e-06, + "loss": 0.5582, + "step": 33 + }, + { + "epoch": 0.05, + "learning_rate": 2.537313432835821e-06, + "loss": 0.4967, + "step": 34 + }, + { + "epoch": 0.05, + "learning_rate": 2.6119402985074627e-06, + "loss": 0.5364, + "step": 35 + }, + { + "epoch": 0.05, + "learning_rate": 2.686567164179105e-06, + "loss": 0.5001, + "step": 36 + }, + { + "epoch": 0.05, + "learning_rate": 2.7611940298507465e-06, + "loss": 0.5366, + "step": 37 + }, + { + "epoch": 0.05, + "learning_rate": 2.835820895522388e-06, + "loss": 0.5289, + "step": 38 + }, + { + "epoch": 0.05, + "learning_rate": 2.9104477611940303e-06, + "loss": 0.6304, + "step": 39 + }, + { + "epoch": 0.05, + "learning_rate": 2.9850746268656716e-06, + "loss": 0.52, + "step": 40 + }, + { + "epoch": 0.06, + "learning_rate": 3.0597014925373137e-06, + "loss": 0.6579, + "step": 41 + }, + { + "epoch": 0.06, + "learning_rate": 3.1343283582089558e-06, + "loss": 0.526, + "step": 42 + }, + { + "epoch": 0.06, + "learning_rate": 3.208955223880597e-06, + "loss": 0.5378, + "step": 43 + }, + { + "epoch": 0.06, + "learning_rate": 3.283582089552239e-06, + "loss": 0.5495, + "step": 44 + }, + { + "epoch": 0.06, + "learning_rate": 3.3582089552238813e-06, + "loss": 0.5973, + "step": 45 + }, + { + "epoch": 0.06, + "learning_rate": 3.4328358208955225e-06, + "loss": 0.5147, + "step": 46 + }, + { + "epoch": 0.06, + "learning_rate": 3.5074626865671646e-06, + "loss": 0.618, + "step": 47 + }, + { + "epoch": 0.06, + "learning_rate": 3.582089552238806e-06, + "loss": 0.513, + "step": 48 + }, + { + "epoch": 0.07, + "learning_rate": 3.656716417910448e-06, + "loss": 0.5607, + "step": 49 + }, + { + "epoch": 0.07, + "learning_rate": 3.73134328358209e-06, + "loss": 0.5156, + "step": 50 + }, + { + "epoch": 0.07, + "learning_rate": 3.8059701492537314e-06, + "loss": 0.5287, + "step": 51 + }, + { + "epoch": 0.07, + "learning_rate": 3.8805970149253735e-06, + "loss": 0.4949, + "step": 52 + }, + { + "epoch": 0.07, + "learning_rate": 3.955223880597015e-06, + "loss": 0.5251, + "step": 53 + }, + { + "epoch": 0.07, + "learning_rate": 4.029850746268657e-06, + "loss": 0.4939, + "step": 54 + }, + { + "epoch": 0.07, + "learning_rate": 4.104477611940299e-06, + "loss": 0.461, + "step": 55 + }, + { + "epoch": 0.08, + "learning_rate": 4.17910447761194e-06, + "loss": 0.5094, + "step": 56 + }, + { + "epoch": 0.08, + "learning_rate": 4.253731343283583e-06, + "loss": 0.5773, + "step": 57 + }, + { + "epoch": 0.08, + "learning_rate": 4.3283582089552236e-06, + "loss": 0.4971, + "step": 58 + }, + { + "epoch": 0.08, + "learning_rate": 4.402985074626866e-06, + "loss": 0.5334, + "step": 59 + }, + { + "epoch": 0.08, + "learning_rate": 4.477611940298508e-06, + "loss": 0.578, + "step": 60 + }, + { + "epoch": 0.08, + "learning_rate": 4.5522388059701495e-06, + "loss": 0.505, + "step": 61 + }, + { + "epoch": 0.08, + "learning_rate": 4.626865671641791e-06, + "loss": 0.5981, + "step": 62 + }, + { + "epoch": 0.08, + "learning_rate": 4.701492537313434e-06, + "loss": 0.5687, + "step": 63 + }, + { + "epoch": 0.09, + "learning_rate": 4.7761194029850745e-06, + "loss": 0.5443, + "step": 64 + }, + { + "epoch": 0.09, + "learning_rate": 4.850746268656717e-06, + "loss": 0.5075, + "step": 65 + }, + { + "epoch": 0.09, + "learning_rate": 4.925373134328359e-06, + "loss": 0.5551, + "step": 66 + }, + { + "epoch": 0.09, + "learning_rate": 5e-06, + "loss": 0.5841, + "step": 67 + }, + { + "epoch": 0.09, + "learning_rate": 4.999997353301952e-06, + "loss": 0.5453, + "step": 68 + }, + { + "epoch": 0.09, + "learning_rate": 4.999989413213412e-06, + "loss": 0.5669, + "step": 69 + }, + { + "epoch": 0.09, + "learning_rate": 4.999976179751192e-06, + "loss": 0.5445, + "step": 70 + }, + { + "epoch": 0.1, + "learning_rate": 4.999957652943311e-06, + "loss": 0.5597, + "step": 71 + }, + { + "epoch": 0.1, + "learning_rate": 4.999933832828997e-06, + "loss": 0.5592, + "step": 72 + }, + { + "epoch": 0.1, + "learning_rate": 4.999904719458687e-06, + "loss": 0.5577, + "step": 73 + }, + { + "epoch": 0.1, + "learning_rate": 4.999870312894024e-06, + "loss": 0.5079, + "step": 74 + }, + { + "epoch": 0.1, + "learning_rate": 4.9998306132078584e-06, + "loss": 0.5734, + "step": 75 + }, + { + "epoch": 0.1, + "learning_rate": 4.999785620484249e-06, + "loss": 0.5483, + "step": 76 + }, + { + "epoch": 0.1, + "learning_rate": 4.999735334818462e-06, + "loss": 0.5429, + "step": 77 + }, + { + "epoch": 0.11, + "learning_rate": 4.9996797563169695e-06, + "loss": 0.5539, + "step": 78 + }, + { + "epoch": 0.11, + "learning_rate": 4.999618885097451e-06, + "loss": 0.5115, + "step": 79 + }, + { + "epoch": 0.11, + "learning_rate": 4.999552721288794e-06, + "loss": 0.4557, + "step": 80 + }, + { + "epoch": 0.11, + "learning_rate": 4.99948126503109e-06, + "loss": 0.4786, + "step": 81 + }, + { + "epoch": 0.11, + "learning_rate": 4.999404516475637e-06, + "loss": 0.5593, + "step": 82 + }, + { + "epoch": 0.11, + "learning_rate": 4.99932247578494e-06, + "loss": 0.5443, + "step": 83 + }, + { + "epoch": 0.11, + "learning_rate": 4.999235143132708e-06, + "loss": 0.5478, + "step": 84 + }, + { + "epoch": 0.11, + "learning_rate": 4.999142518703857e-06, + "loss": 0.5329, + "step": 85 + }, + { + "epoch": 0.12, + "learning_rate": 4.999044602694504e-06, + "loss": 0.5116, + "step": 86 + }, + { + "epoch": 0.12, + "learning_rate": 4.998941395311973e-06, + "loss": 0.5474, + "step": 87 + }, + { + "epoch": 0.12, + "learning_rate": 4.998832896774791e-06, + "loss": 0.553, + "step": 88 + }, + { + "epoch": 0.12, + "learning_rate": 4.99871910731269e-06, + "loss": 0.5355, + "step": 89 + }, + { + "epoch": 0.12, + "learning_rate": 4.998600027166601e-06, + "loss": 0.5736, + "step": 90 + }, + { + "epoch": 0.12, + "learning_rate": 4.99847565658866e-06, + "loss": 0.5525, + "step": 91 + }, + { + "epoch": 0.12, + "learning_rate": 4.998345995842204e-06, + "loss": 0.5204, + "step": 92 + }, + { + "epoch": 0.13, + "learning_rate": 4.998211045201771e-06, + "loss": 0.5399, + "step": 93 + }, + { + "epoch": 0.13, + "learning_rate": 4.998070804953101e-06, + "loss": 0.5194, + "step": 94 + }, + { + "epoch": 0.13, + "learning_rate": 4.997925275393132e-06, + "loss": 0.5212, + "step": 95 + }, + { + "epoch": 0.13, + "learning_rate": 4.997774456830002e-06, + "loss": 0.5042, + "step": 96 + }, + { + "epoch": 0.13, + "learning_rate": 4.997618349583049e-06, + "loss": 0.516, + "step": 97 + }, + { + "epoch": 0.13, + "learning_rate": 4.9974569539828064e-06, + "loss": 0.4844, + "step": 98 + }, + { + "epoch": 0.13, + "learning_rate": 4.997290270371008e-06, + "loss": 0.4646, + "step": 99 + }, + { + "epoch": 0.13, + "learning_rate": 4.997118299100582e-06, + "loss": 0.5359, + "step": 100 + }, + { + "epoch": 0.14, + "learning_rate": 4.996941040535654e-06, + "loss": 0.5367, + "step": 101 + }, + { + "epoch": 0.14, + "learning_rate": 4.996758495051542e-06, + "loss": 0.5138, + "step": 102 + }, + { + "epoch": 0.14, + "learning_rate": 4.996570663034764e-06, + "loss": 0.5252, + "step": 103 + }, + { + "epoch": 0.14, + "learning_rate": 4.9963775448830225e-06, + "loss": 0.558, + "step": 104 + }, + { + "epoch": 0.14, + "learning_rate": 4.996179141005222e-06, + "loss": 0.5573, + "step": 105 + }, + { + "epoch": 0.14, + "learning_rate": 4.9959754518214535e-06, + "loss": 0.5484, + "step": 106 + }, + { + "epoch": 0.14, + "learning_rate": 4.995766477762999e-06, + "loss": 0.4973, + "step": 107 + }, + { + "epoch": 0.15, + "learning_rate": 4.995552219272333e-06, + "loss": 0.5533, + "step": 108 + }, + { + "epoch": 0.15, + "learning_rate": 4.995332676803117e-06, + "loss": 0.5338, + "step": 109 + }, + { + "epoch": 0.15, + "learning_rate": 4.995107850820199e-06, + "loss": 0.5268, + "step": 110 + }, + { + "epoch": 0.15, + "learning_rate": 4.994877741799619e-06, + "loss": 0.5625, + "step": 111 + }, + { + "epoch": 0.15, + "learning_rate": 4.994642350228601e-06, + "loss": 0.5735, + "step": 112 + }, + { + "epoch": 0.15, + "learning_rate": 4.99440167660555e-06, + "loss": 0.4276, + "step": 113 + }, + { + "epoch": 0.15, + "learning_rate": 4.99415572144006e-06, + "loss": 0.4949, + "step": 114 + }, + { + "epoch": 0.15, + "learning_rate": 4.993904485252907e-06, + "loss": 0.554, + "step": 115 + }, + { + "epoch": 0.16, + "learning_rate": 4.993647968576047e-06, + "loss": 0.5642, + "step": 116 + }, + { + "epoch": 0.16, + "learning_rate": 4.9933861719526176e-06, + "loss": 0.5177, + "step": 117 + }, + { + "epoch": 0.16, + "learning_rate": 4.993119095936937e-06, + "loss": 0.552, + "step": 118 + }, + { + "epoch": 0.16, + "learning_rate": 4.9928467410945e-06, + "loss": 0.517, + "step": 119 + }, + { + "epoch": 0.16, + "learning_rate": 4.992569108001981e-06, + "loss": 0.4957, + "step": 120 + }, + { + "epoch": 0.16, + "learning_rate": 4.9922861972472255e-06, + "loss": 0.5348, + "step": 121 + }, + { + "epoch": 0.16, + "learning_rate": 4.991998009429261e-06, + "loss": 0.5567, + "step": 122 + }, + { + "epoch": 0.17, + "learning_rate": 4.9917045451582815e-06, + "loss": 0.5445, + "step": 123 + }, + { + "epoch": 0.17, + "learning_rate": 4.991405805055658e-06, + "loss": 0.4995, + "step": 124 + }, + { + "epoch": 0.17, + "learning_rate": 4.991101789753928e-06, + "loss": 0.5186, + "step": 125 + }, + { + "epoch": 0.17, + "learning_rate": 4.9907924998968035e-06, + "loss": 0.4919, + "step": 126 + }, + { + "epoch": 0.17, + "learning_rate": 4.990477936139159e-06, + "loss": 0.5523, + "step": 127 + }, + { + "epoch": 0.17, + "learning_rate": 4.990158099147043e-06, + "loss": 0.5073, + "step": 128 + }, + { + "epoch": 0.17, + "learning_rate": 4.989832989597661e-06, + "loss": 0.5429, + "step": 129 + }, + { + "epoch": 0.18, + "learning_rate": 4.9895026081793884e-06, + "loss": 0.4917, + "step": 130 + }, + { + "epoch": 0.18, + "learning_rate": 4.98916695559176e-06, + "loss": 0.5218, + "step": 131 + }, + { + "epoch": 0.18, + "learning_rate": 4.988826032545474e-06, + "loss": 0.503, + "step": 132 + }, + { + "epoch": 0.18, + "learning_rate": 4.9884798397623856e-06, + "loss": 0.4618, + "step": 133 + }, + { + "epoch": 0.18, + "learning_rate": 4.98812837797551e-06, + "loss": 0.5062, + "step": 134 + }, + { + "epoch": 0.18, + "learning_rate": 4.987771647929017e-06, + "loss": 0.5306, + "step": 135 + }, + { + "epoch": 0.18, + "learning_rate": 4.987409650378232e-06, + "loss": 0.5686, + "step": 136 + }, + { + "epoch": 0.18, + "learning_rate": 4.987042386089633e-06, + "loss": 0.5552, + "step": 137 + }, + { + "epoch": 0.19, + "learning_rate": 4.986669855840852e-06, + "loss": 0.4931, + "step": 138 + }, + { + "epoch": 0.19, + "learning_rate": 4.9862920604206675e-06, + "loss": 0.4899, + "step": 139 + }, + { + "epoch": 0.19, + "learning_rate": 4.985909000629009e-06, + "loss": 0.6321, + "step": 140 + }, + { + "epoch": 0.19, + "learning_rate": 4.98552067727695e-06, + "loss": 0.5138, + "step": 141 + }, + { + "epoch": 0.19, + "learning_rate": 4.98512709118671e-06, + "loss": 0.5003, + "step": 142 + }, + { + "epoch": 0.19, + "learning_rate": 4.984728243191653e-06, + "loss": 0.4638, + "step": 143 + }, + { + "epoch": 0.19, + "learning_rate": 4.984324134136284e-06, + "loss": 0.5191, + "step": 144 + }, + { + "epoch": 0.2, + "learning_rate": 4.983914764876245e-06, + "loss": 0.4831, + "step": 145 + }, + { + "epoch": 0.2, + "learning_rate": 4.9835001362783175e-06, + "loss": 0.5658, + "step": 146 + }, + { + "epoch": 0.2, + "learning_rate": 4.98308024922042e-06, + "loss": 0.5205, + "step": 147 + }, + { + "epoch": 0.2, + "learning_rate": 4.982655104591604e-06, + "loss": 0.5304, + "step": 148 + }, + { + "epoch": 0.2, + "learning_rate": 4.982224703292051e-06, + "loss": 0.5112, + "step": 149 + }, + { + "epoch": 0.2, + "learning_rate": 4.981789046233076e-06, + "loss": 0.4539, + "step": 150 + }, + { + "epoch": 0.2, + "learning_rate": 4.981348134337123e-06, + "loss": 0.5505, + "step": 151 + }, + { + "epoch": 0.2, + "learning_rate": 4.980901968537758e-06, + "loss": 0.5984, + "step": 152 + }, + { + "epoch": 0.21, + "learning_rate": 4.980450549779675e-06, + "loss": 0.6137, + "step": 153 + }, + { + "epoch": 0.21, + "learning_rate": 4.979993879018688e-06, + "loss": 0.5253, + "step": 154 + }, + { + "epoch": 0.21, + "learning_rate": 4.9795319572217356e-06, + "loss": 0.5017, + "step": 155 + }, + { + "epoch": 0.21, + "learning_rate": 4.9790647853668686e-06, + "loss": 0.52, + "step": 156 + }, + { + "epoch": 0.21, + "learning_rate": 4.978592364443259e-06, + "loss": 0.5936, + "step": 157 + }, + { + "epoch": 0.21, + "learning_rate": 4.978114695451192e-06, + "loss": 0.5472, + "step": 158 + }, + { + "epoch": 0.21, + "learning_rate": 4.977631779402061e-06, + "loss": 0.5609, + "step": 159 + }, + { + "epoch": 0.22, + "learning_rate": 4.977143617318376e-06, + "loss": 0.584, + "step": 160 + }, + { + "epoch": 0.22, + "learning_rate": 4.976650210233749e-06, + "loss": 0.5283, + "step": 161 + }, + { + "epoch": 0.22, + "learning_rate": 4.9761515591929e-06, + "loss": 0.4813, + "step": 162 + }, + { + "epoch": 0.22, + "learning_rate": 4.975647665251652e-06, + "loss": 0.459, + "step": 163 + }, + { + "epoch": 0.22, + "learning_rate": 4.975138529476929e-06, + "loss": 0.5084, + "step": 164 + }, + { + "epoch": 0.22, + "learning_rate": 4.974624152946755e-06, + "loss": 0.5433, + "step": 165 + }, + { + "epoch": 0.22, + "learning_rate": 4.9741045367502475e-06, + "loss": 0.5097, + "step": 166 + }, + { + "epoch": 0.23, + "learning_rate": 4.973579681987622e-06, + "loss": 0.435, + "step": 167 + }, + { + "epoch": 0.23, + "learning_rate": 4.973049589770183e-06, + "loss": 0.6184, + "step": 168 + }, + { + "epoch": 0.23, + "learning_rate": 4.972514261220327e-06, + "loss": 0.5697, + "step": 169 + }, + { + "epoch": 0.23, + "learning_rate": 4.971973697471535e-06, + "loss": 0.5885, + "step": 170 + }, + { + "epoch": 0.23, + "learning_rate": 4.971427899668376e-06, + "loss": 0.5446, + "step": 171 + }, + { + "epoch": 0.23, + "learning_rate": 4.970876868966497e-06, + "loss": 0.5209, + "step": 172 + }, + { + "epoch": 0.23, + "learning_rate": 4.97032060653263e-06, + "loss": 0.5864, + "step": 173 + }, + { + "epoch": 0.23, + "learning_rate": 4.969759113544581e-06, + "loss": 0.5319, + "step": 174 + }, + { + "epoch": 0.24, + "learning_rate": 4.969192391191231e-06, + "loss": 0.4437, + "step": 175 + }, + { + "epoch": 0.24, + "learning_rate": 4.9686204406725355e-06, + "loss": 0.5243, + "step": 176 + }, + { + "epoch": 0.24, + "learning_rate": 4.968043263199518e-06, + "loss": 0.5033, + "step": 177 + }, + { + "epoch": 0.24, + "learning_rate": 4.967460859994272e-06, + "loss": 0.5162, + "step": 178 + }, + { + "epoch": 0.24, + "learning_rate": 4.966873232289951e-06, + "loss": 0.4903, + "step": 179 + }, + { + "epoch": 0.24, + "learning_rate": 4.966280381330775e-06, + "loss": 0.5356, + "step": 180 + }, + { + "epoch": 0.24, + "learning_rate": 4.965682308372022e-06, + "loss": 0.5133, + "step": 181 + }, + { + "epoch": 0.25, + "learning_rate": 4.965079014680027e-06, + "loss": 0.4729, + "step": 182 + }, + { + "epoch": 0.25, + "learning_rate": 4.964470501532179e-06, + "loss": 0.5374, + "step": 183 + }, + { + "epoch": 0.25, + "learning_rate": 4.963856770216917e-06, + "loss": 0.6039, + "step": 184 + }, + { + "epoch": 0.25, + "learning_rate": 4.963237822033733e-06, + "loss": 0.5685, + "step": 185 + }, + { + "epoch": 0.25, + "learning_rate": 4.962613658293158e-06, + "loss": 0.4789, + "step": 186 + }, + { + "epoch": 0.25, + "learning_rate": 4.961984280316775e-06, + "loss": 0.5543, + "step": 187 + }, + { + "epoch": 0.25, + "learning_rate": 4.961349689437199e-06, + "loss": 0.6216, + "step": 188 + }, + { + "epoch": 0.25, + "learning_rate": 4.96070988699809e-06, + "loss": 0.4967, + "step": 189 + }, + { + "epoch": 0.26, + "learning_rate": 4.960064874354136e-06, + "loss": 0.5186, + "step": 190 + }, + { + "epoch": 0.26, + "learning_rate": 4.9594146528710596e-06, + "loss": 0.4681, + "step": 191 + }, + { + "epoch": 0.26, + "learning_rate": 4.9587592239256154e-06, + "loss": 0.5497, + "step": 192 + }, + { + "epoch": 0.26, + "learning_rate": 4.95809858890558e-06, + "loss": 0.5499, + "step": 193 + }, + { + "epoch": 0.26, + "learning_rate": 4.957432749209755e-06, + "loss": 0.5455, + "step": 194 + }, + { + "epoch": 0.26, + "learning_rate": 4.956761706247961e-06, + "loss": 0.5794, + "step": 195 + }, + { + "epoch": 0.26, + "learning_rate": 4.956085461441037e-06, + "loss": 0.5314, + "step": 196 + }, + { + "epoch": 0.27, + "learning_rate": 4.955404016220835e-06, + "loss": 0.5151, + "step": 197 + }, + { + "epoch": 0.27, + "learning_rate": 4.95471737203022e-06, + "loss": 0.4959, + "step": 198 + }, + { + "epoch": 0.27, + "learning_rate": 4.954025530323063e-06, + "loss": 0.4965, + "step": 199 + }, + { + "epoch": 0.27, + "learning_rate": 4.953328492564241e-06, + "loss": 0.5467, + "step": 200 + }, + { + "epoch": 0.27, + "learning_rate": 4.952626260229633e-06, + "loss": 0.5663, + "step": 201 + }, + { + "epoch": 0.27, + "learning_rate": 4.951918834806116e-06, + "loss": 0.5098, + "step": 202 + }, + { + "epoch": 0.27, + "learning_rate": 4.9512062177915634e-06, + "loss": 0.507, + "step": 203 + }, + { + "epoch": 0.27, + "learning_rate": 4.950488410694842e-06, + "loss": 0.5754, + "step": 204 + }, + { + "epoch": 0.28, + "learning_rate": 4.949765415035805e-06, + "loss": 0.4892, + "step": 205 + }, + { + "epoch": 0.28, + "learning_rate": 4.949037232345294e-06, + "loss": 0.5933, + "step": 206 + }, + { + "epoch": 0.28, + "learning_rate": 4.948303864165133e-06, + "loss": 0.5541, + "step": 207 + }, + { + "epoch": 0.28, + "learning_rate": 4.947565312048125e-06, + "loss": 0.5233, + "step": 208 + }, + { + "epoch": 0.28, + "learning_rate": 4.94682157755805e-06, + "loss": 0.5368, + "step": 209 + }, + { + "epoch": 0.28, + "learning_rate": 4.946072662269661e-06, + "loss": 0.5542, + "step": 210 + }, + { + "epoch": 0.28, + "learning_rate": 4.945318567768677e-06, + "loss": 0.519, + "step": 211 + }, + { + "epoch": 0.29, + "learning_rate": 4.9445592956517905e-06, + "loss": 0.5666, + "step": 212 + }, + { + "epoch": 0.29, + "learning_rate": 4.943794847526651e-06, + "loss": 0.5615, + "step": 213 + }, + { + "epoch": 0.29, + "learning_rate": 4.943025225011869e-06, + "loss": 0.5277, + "step": 214 + }, + { + "epoch": 0.29, + "learning_rate": 4.942250429737011e-06, + "loss": 0.5708, + "step": 215 + }, + { + "epoch": 0.29, + "learning_rate": 4.941470463342596e-06, + "loss": 0.5419, + "step": 216 + }, + { + "epoch": 0.29, + "learning_rate": 4.940685327480094e-06, + "loss": 0.4864, + "step": 217 + }, + { + "epoch": 0.29, + "learning_rate": 4.939895023811918e-06, + "loss": 0.5163, + "step": 218 + }, + { + "epoch": 0.3, + "learning_rate": 4.939099554011424e-06, + "loss": 0.5586, + "step": 219 + }, + { + "epoch": 0.3, + "learning_rate": 4.938298919762907e-06, + "loss": 0.5232, + "step": 220 + }, + { + "epoch": 0.3, + "learning_rate": 4.937493122761596e-06, + "loss": 0.4874, + "step": 221 + }, + { + "epoch": 0.3, + "learning_rate": 4.936682164713654e-06, + "loss": 0.5323, + "step": 222 + }, + { + "epoch": 0.3, + "learning_rate": 4.935866047336168e-06, + "loss": 0.5735, + "step": 223 + }, + { + "epoch": 0.3, + "learning_rate": 4.935044772357152e-06, + "loss": 0.5134, + "step": 224 + }, + { + "epoch": 0.3, + "learning_rate": 4.934218341515538e-06, + "loss": 0.5982, + "step": 225 + }, + { + "epoch": 0.3, + "learning_rate": 4.933386756561178e-06, + "loss": 0.5394, + "step": 226 + }, + { + "epoch": 0.31, + "learning_rate": 4.932550019254835e-06, + "loss": 0.4743, + "step": 227 + }, + { + "epoch": 0.31, + "learning_rate": 4.931708131368181e-06, + "loss": 0.5365, + "step": 228 + }, + { + "epoch": 0.31, + "learning_rate": 4.9308610946837955e-06, + "loss": 0.5594, + "step": 229 + }, + { + "epoch": 0.31, + "learning_rate": 4.930008910995158e-06, + "loss": 0.5561, + "step": 230 + }, + { + "epoch": 0.31, + "learning_rate": 4.9291515821066475e-06, + "loss": 0.5249, + "step": 231 + }, + { + "epoch": 0.31, + "learning_rate": 4.928289109833536e-06, + "loss": 0.5482, + "step": 232 + }, + { + "epoch": 0.31, + "learning_rate": 4.927421496001988e-06, + "loss": 0.5029, + "step": 233 + }, + { + "epoch": 0.32, + "learning_rate": 4.92654874244905e-06, + "loss": 0.4803, + "step": 234 + }, + { + "epoch": 0.32, + "learning_rate": 4.925670851022656e-06, + "loss": 0.5222, + "step": 235 + }, + { + "epoch": 0.32, + "learning_rate": 4.924787823581616e-06, + "loss": 0.4805, + "step": 236 + }, + { + "epoch": 0.32, + "learning_rate": 4.923899661995617e-06, + "loss": 0.5791, + "step": 237 + }, + { + "epoch": 0.32, + "learning_rate": 4.923006368145215e-06, + "loss": 0.562, + "step": 238 + }, + { + "epoch": 0.32, + "learning_rate": 4.9221079439218314e-06, + "loss": 0.557, + "step": 239 + }, + { + "epoch": 0.32, + "learning_rate": 4.921204391227754e-06, + "loss": 0.5093, + "step": 240 + }, + { + "epoch": 0.32, + "learning_rate": 4.920295711976129e-06, + "loss": 0.4553, + "step": 241 + }, + { + "epoch": 0.33, + "learning_rate": 4.9193819080909534e-06, + "loss": 0.5354, + "step": 242 + }, + { + "epoch": 0.33, + "learning_rate": 4.918462981507079e-06, + "loss": 0.5808, + "step": 243 + }, + { + "epoch": 0.33, + "learning_rate": 4.917538934170202e-06, + "loss": 0.5937, + "step": 244 + }, + { + "epoch": 0.33, + "learning_rate": 4.9166097680368615e-06, + "loss": 0.6118, + "step": 245 + }, + { + "epoch": 0.33, + "learning_rate": 4.915675485074438e-06, + "loss": 0.4395, + "step": 246 + }, + { + "epoch": 0.33, + "learning_rate": 4.91473608726114e-06, + "loss": 0.4861, + "step": 247 + }, + { + "epoch": 0.33, + "learning_rate": 4.913791576586012e-06, + "loss": 0.5149, + "step": 248 + }, + { + "epoch": 0.34, + "learning_rate": 4.91284195504892e-06, + "loss": 0.556, + "step": 249 + }, + { + "epoch": 0.34, + "learning_rate": 4.911887224660553e-06, + "loss": 0.5868, + "step": 250 + }, + { + "epoch": 0.34, + "learning_rate": 4.91092738744242e-06, + "loss": 0.5053, + "step": 251 + }, + { + "epoch": 0.34, + "learning_rate": 4.9099624454268365e-06, + "loss": 0.552, + "step": 252 + }, + { + "epoch": 0.34, + "learning_rate": 4.908992400656934e-06, + "loss": 0.4794, + "step": 253 + }, + { + "epoch": 0.34, + "learning_rate": 4.908017255186644e-06, + "loss": 0.5208, + "step": 254 + }, + { + "epoch": 0.34, + "learning_rate": 4.907037011080697e-06, + "loss": 0.4868, + "step": 255 + }, + { + "epoch": 0.35, + "learning_rate": 4.906051670414623e-06, + "loss": 0.4389, + "step": 256 + }, + { + "epoch": 0.35, + "learning_rate": 4.905061235274743e-06, + "loss": 0.5738, + "step": 257 + }, + { + "epoch": 0.35, + "learning_rate": 4.904065707758159e-06, + "loss": 0.4955, + "step": 258 + }, + { + "epoch": 0.35, + "learning_rate": 4.9030650899727636e-06, + "loss": 0.5531, + "step": 259 + }, + { + "epoch": 0.35, + "learning_rate": 4.902059384037221e-06, + "loss": 0.5618, + "step": 260 + }, + { + "epoch": 0.35, + "learning_rate": 4.9010485920809715e-06, + "loss": 0.5535, + "step": 261 + }, + { + "epoch": 0.35, + "learning_rate": 4.900032716244225e-06, + "loss": 0.4947, + "step": 262 + }, + { + "epoch": 0.35, + "learning_rate": 4.899011758677954e-06, + "loss": 0.5387, + "step": 263 + }, + { + "epoch": 0.36, + "learning_rate": 4.897985721543891e-06, + "loss": 0.5411, + "step": 264 + }, + { + "epoch": 0.36, + "learning_rate": 4.896954607014526e-06, + "loss": 0.5035, + "step": 265 + }, + { + "epoch": 0.36, + "learning_rate": 4.8959184172730955e-06, + "loss": 0.4818, + "step": 266 + }, + { + "epoch": 0.36, + "learning_rate": 4.894877154513588e-06, + "loss": 0.5676, + "step": 267 + }, + { + "epoch": 0.36, + "learning_rate": 4.893830820940727e-06, + "loss": 0.4875, + "step": 268 + }, + { + "epoch": 0.36, + "learning_rate": 4.892779418769977e-06, + "loss": 0.6056, + "step": 269 + }, + { + "epoch": 0.36, + "learning_rate": 4.891722950227534e-06, + "loss": 0.5422, + "step": 270 + }, + { + "epoch": 0.37, + "learning_rate": 4.8906614175503196e-06, + "loss": 0.5259, + "step": 271 + }, + { + "epoch": 0.37, + "learning_rate": 4.889594822985978e-06, + "loss": 0.5166, + "step": 272 + }, + { + "epoch": 0.37, + "learning_rate": 4.8885231687928746e-06, + "loss": 0.5648, + "step": 273 + }, + { + "epoch": 0.37, + "learning_rate": 4.887446457240083e-06, + "loss": 0.5206, + "step": 274 + }, + { + "epoch": 0.37, + "learning_rate": 4.8863646906073895e-06, + "loss": 0.5211, + "step": 275 + }, + { + "epoch": 0.37, + "learning_rate": 4.885277871185281e-06, + "loss": 0.4943, + "step": 276 + }, + { + "epoch": 0.37, + "learning_rate": 4.884186001274944e-06, + "loss": 0.5368, + "step": 277 + }, + { + "epoch": 0.37, + "learning_rate": 4.8830890831882575e-06, + "loss": 0.533, + "step": 278 + }, + { + "epoch": 0.38, + "learning_rate": 4.881987119247791e-06, + "loss": 0.5403, + "step": 279 + }, + { + "epoch": 0.38, + "learning_rate": 4.8808801117867976e-06, + "loss": 0.5344, + "step": 280 + }, + { + "epoch": 0.38, + "learning_rate": 4.879768063149208e-06, + "loss": 0.5257, + "step": 281 + }, + { + "epoch": 0.38, + "learning_rate": 4.878650975689628e-06, + "loss": 0.486, + "step": 282 + }, + { + "epoch": 0.38, + "learning_rate": 4.8775288517733335e-06, + "loss": 0.5114, + "step": 283 + }, + { + "epoch": 0.38, + "learning_rate": 4.876401693776261e-06, + "loss": 0.5056, + "step": 284 + }, + { + "epoch": 0.38, + "learning_rate": 4.875269504085009e-06, + "loss": 0.5148, + "step": 285 + }, + { + "epoch": 0.39, + "learning_rate": 4.874132285096828e-06, + "loss": 0.5135, + "step": 286 + }, + { + "epoch": 0.39, + "learning_rate": 4.87299003921962e-06, + "loss": 0.5218, + "step": 287 + }, + { + "epoch": 0.39, + "learning_rate": 4.871842768871928e-06, + "loss": 0.5313, + "step": 288 + }, + { + "epoch": 0.39, + "learning_rate": 4.8706904764829345e-06, + "loss": 0.4881, + "step": 289 + }, + { + "epoch": 0.39, + "learning_rate": 4.869533164492456e-06, + "loss": 0.5691, + "step": 290 + }, + { + "epoch": 0.39, + "learning_rate": 4.868370835350935e-06, + "loss": 0.5511, + "step": 291 + }, + { + "epoch": 0.39, + "learning_rate": 4.867203491519441e-06, + "loss": 0.5613, + "step": 292 + }, + { + "epoch": 0.39, + "learning_rate": 4.866031135469657e-06, + "loss": 0.5309, + "step": 293 + }, + { + "epoch": 0.4, + "learning_rate": 4.864853769683885e-06, + "loss": 0.5041, + "step": 294 + }, + { + "epoch": 0.4, + "learning_rate": 4.863671396655026e-06, + "loss": 0.5221, + "step": 295 + }, + { + "epoch": 0.4, + "learning_rate": 4.862484018886591e-06, + "loss": 0.5318, + "step": 296 + }, + { + "epoch": 0.4, + "learning_rate": 4.861291638892682e-06, + "loss": 0.5488, + "step": 297 + }, + { + "epoch": 0.4, + "learning_rate": 4.8600942591979955e-06, + "loss": 0.5112, + "step": 298 + }, + { + "epoch": 0.4, + "learning_rate": 4.858891882337814e-06, + "loss": 0.5081, + "step": 299 + }, + { + "epoch": 0.4, + "learning_rate": 4.8576845108579995e-06, + "loss": 0.4924, + "step": 300 + }, + { + "epoch": 0.41, + "learning_rate": 4.85647214731499e-06, + "loss": 0.4718, + "step": 301 + }, + { + "epoch": 0.41, + "learning_rate": 4.855254794275796e-06, + "loss": 0.5159, + "step": 302 + }, + { + "epoch": 0.41, + "learning_rate": 4.854032454317987e-06, + "loss": 0.5074, + "step": 303 + }, + { + "epoch": 0.41, + "learning_rate": 4.852805130029696e-06, + "loss": 0.482, + "step": 304 + }, + { + "epoch": 0.41, + "learning_rate": 4.85157282400961e-06, + "loss": 0.5039, + "step": 305 + }, + { + "epoch": 0.41, + "learning_rate": 4.850335538866961e-06, + "loss": 0.5249, + "step": 306 + }, + { + "epoch": 0.41, + "learning_rate": 4.849093277221525e-06, + "loss": 0.5028, + "step": 307 + }, + { + "epoch": 0.42, + "learning_rate": 4.847846041703616e-06, + "loss": 0.5295, + "step": 308 + }, + { + "epoch": 0.42, + "learning_rate": 4.846593834954078e-06, + "loss": 0.5411, + "step": 309 + }, + { + "epoch": 0.42, + "learning_rate": 4.845336659624282e-06, + "loss": 0.4965, + "step": 310 + }, + { + "epoch": 0.42, + "learning_rate": 4.844074518376118e-06, + "loss": 0.5169, + "step": 311 + }, + { + "epoch": 0.42, + "learning_rate": 4.842807413881993e-06, + "loss": 0.4977, + "step": 312 + }, + { + "epoch": 0.42, + "learning_rate": 4.84153534882482e-06, + "loss": 0.556, + "step": 313 + }, + { + "epoch": 0.42, + "learning_rate": 4.840258325898017e-06, + "loss": 0.4888, + "step": 314 + }, + { + "epoch": 0.42, + "learning_rate": 4.8389763478055e-06, + "loss": 0.5433, + "step": 315 + }, + { + "epoch": 0.43, + "learning_rate": 4.837689417261674e-06, + "loss": 0.5878, + "step": 316 + }, + { + "epoch": 0.43, + "learning_rate": 4.8363975369914355e-06, + "loss": 0.5414, + "step": 317 + }, + { + "epoch": 0.43, + "learning_rate": 4.835100709730155e-06, + "loss": 0.5576, + "step": 318 + }, + { + "epoch": 0.43, + "learning_rate": 4.833798938223682e-06, + "loss": 0.6145, + "step": 319 + }, + { + "epoch": 0.43, + "learning_rate": 4.832492225228334e-06, + "loss": 0.5864, + "step": 320 + }, + { + "epoch": 0.43, + "learning_rate": 4.83118057351089e-06, + "loss": 0.5238, + "step": 321 + }, + { + "epoch": 0.43, + "learning_rate": 4.829863985848587e-06, + "loss": 0.5218, + "step": 322 + }, + { + "epoch": 0.44, + "learning_rate": 4.828542465029112e-06, + "loss": 0.495, + "step": 323 + }, + { + "epoch": 0.44, + "learning_rate": 4.827216013850601e-06, + "loss": 0.5773, + "step": 324 + }, + { + "epoch": 0.44, + "learning_rate": 4.825884635121624e-06, + "loss": 0.5257, + "step": 325 + }, + { + "epoch": 0.44, + "learning_rate": 4.824548331661187e-06, + "loss": 0.5573, + "step": 326 + }, + { + "epoch": 0.44, + "learning_rate": 4.823207106298725e-06, + "loss": 0.4756, + "step": 327 + }, + { + "epoch": 0.44, + "learning_rate": 4.821860961874093e-06, + "loss": 0.54, + "step": 328 + }, + { + "epoch": 0.44, + "learning_rate": 4.820509901237559e-06, + "loss": 0.5573, + "step": 329 + }, + { + "epoch": 0.44, + "learning_rate": 4.819153927249804e-06, + "loss": 0.5494, + "step": 330 + }, + { + "epoch": 0.45, + "learning_rate": 4.817793042781911e-06, + "loss": 0.5983, + "step": 331 + }, + { + "epoch": 0.45, + "learning_rate": 4.8164272507153605e-06, + "loss": 0.4835, + "step": 332 + }, + { + "epoch": 0.45, + "learning_rate": 4.815056553942024e-06, + "loss": 0.5209, + "step": 333 + }, + { + "epoch": 0.45, + "learning_rate": 4.813680955364156e-06, + "loss": 0.4946, + "step": 334 + }, + { + "epoch": 0.45, + "learning_rate": 4.812300457894395e-06, + "loss": 0.4776, + "step": 335 + }, + { + "epoch": 0.45, + "learning_rate": 4.810915064455746e-06, + "loss": 0.5378, + "step": 336 + }, + { + "epoch": 0.45, + "learning_rate": 4.809524777981584e-06, + "loss": 0.5233, + "step": 337 + }, + { + "epoch": 0.46, + "learning_rate": 4.808129601415645e-06, + "loss": 0.4825, + "step": 338 + }, + { + "epoch": 0.46, + "learning_rate": 4.806729537712017e-06, + "loss": 0.5809, + "step": 339 + }, + { + "epoch": 0.46, + "learning_rate": 4.805324589835138e-06, + "loss": 0.5946, + "step": 340 + }, + { + "epoch": 0.46, + "learning_rate": 4.8039147607597835e-06, + "loss": 0.5406, + "step": 341 + }, + { + "epoch": 0.46, + "learning_rate": 4.80250005347107e-06, + "loss": 0.554, + "step": 342 + }, + { + "epoch": 0.46, + "learning_rate": 4.801080470964438e-06, + "loss": 0.5326, + "step": 343 + }, + { + "epoch": 0.46, + "learning_rate": 4.799656016245653e-06, + "loss": 0.5392, + "step": 344 + }, + { + "epoch": 0.46, + "learning_rate": 4.798226692330797e-06, + "loss": 0.6099, + "step": 345 + }, + { + "epoch": 0.47, + "learning_rate": 4.79679250224626e-06, + "loss": 0.6073, + "step": 346 + }, + { + "epoch": 0.47, + "learning_rate": 4.795353449028737e-06, + "loss": 0.6278, + "step": 347 + }, + { + "epoch": 0.47, + "learning_rate": 4.793909535725219e-06, + "loss": 0.5365, + "step": 348 + }, + { + "epoch": 0.47, + "learning_rate": 4.792460765392989e-06, + "loss": 0.4515, + "step": 349 + }, + { + "epoch": 0.47, + "learning_rate": 4.791007141099611e-06, + "loss": 0.5216, + "step": 350 + }, + { + "epoch": 0.47, + "learning_rate": 4.789548665922932e-06, + "loss": 0.4858, + "step": 351 + }, + { + "epoch": 0.47, + "learning_rate": 4.788085342951063e-06, + "loss": 0.4463, + "step": 352 + }, + { + "epoch": 0.48, + "learning_rate": 4.786617175282387e-06, + "loss": 0.5681, + "step": 353 + }, + { + "epoch": 0.48, + "learning_rate": 4.785144166025537e-06, + "loss": 0.5732, + "step": 354 + }, + { + "epoch": 0.48, + "learning_rate": 4.7836663182994054e-06, + "loss": 0.523, + "step": 355 + }, + { + "epoch": 0.48, + "learning_rate": 4.7821836352331235e-06, + "loss": 0.6516, + "step": 356 + }, + { + "epoch": 0.48, + "learning_rate": 4.780696119966064e-06, + "loss": 0.5406, + "step": 357 + }, + { + "epoch": 0.48, + "learning_rate": 4.779203775647828e-06, + "loss": 0.4733, + "step": 358 + }, + { + "epoch": 0.48, + "learning_rate": 4.777706605438246e-06, + "loss": 0.5067, + "step": 359 + }, + { + "epoch": 0.49, + "learning_rate": 4.776204612507361e-06, + "loss": 0.5161, + "step": 360 + }, + { + "epoch": 0.49, + "learning_rate": 4.774697800035433e-06, + "loss": 0.5342, + "step": 361 + }, + { + "epoch": 0.49, + "learning_rate": 4.773186171212922e-06, + "loss": 0.6001, + "step": 362 + }, + { + "epoch": 0.49, + "learning_rate": 4.77166972924049e-06, + "loss": 0.5104, + "step": 363 + }, + { + "epoch": 0.49, + "learning_rate": 4.7701484773289874e-06, + "loss": 0.4769, + "step": 364 + }, + { + "epoch": 0.49, + "learning_rate": 4.768622418699449e-06, + "loss": 0.4861, + "step": 365 + }, + { + "epoch": 0.49, + "learning_rate": 4.767091556583089e-06, + "loss": 0.5359, + "step": 366 + }, + { + "epoch": 0.49, + "learning_rate": 4.765555894221291e-06, + "loss": 0.5706, + "step": 367 + }, + { + "epoch": 0.5, + "learning_rate": 4.764015434865601e-06, + "loss": 0.6097, + "step": 368 + }, + { + "epoch": 0.5, + "learning_rate": 4.762470181777726e-06, + "loss": 0.5049, + "step": 369 + }, + { + "epoch": 0.5, + "learning_rate": 4.76092013822952e-06, + "loss": 0.5335, + "step": 370 + }, + { + "epoch": 0.5, + "learning_rate": 4.759365307502981e-06, + "loss": 0.4969, + "step": 371 + }, + { + "epoch": 0.5, + "learning_rate": 4.757805692890241e-06, + "loss": 0.5203, + "step": 372 + }, + { + "epoch": 0.5, + "learning_rate": 4.7562412976935655e-06, + "loss": 0.5114, + "step": 373 + }, + { + "epoch": 0.5, + "learning_rate": 4.7546721252253395e-06, + "loss": 0.5516, + "step": 374 + }, + { + "epoch": 0.51, + "learning_rate": 4.753098178808063e-06, + "loss": 0.452, + "step": 375 + }, + { + "epoch": 0.51, + "learning_rate": 4.751519461774344e-06, + "loss": 0.5832, + "step": 376 + }, + { + "epoch": 0.51, + "learning_rate": 4.7499359774668935e-06, + "loss": 0.5283, + "step": 377 + }, + { + "epoch": 0.51, + "learning_rate": 4.748347729238515e-06, + "loss": 0.517, + "step": 378 + }, + { + "epoch": 0.51, + "learning_rate": 4.746754720452099e-06, + "loss": 0.4886, + "step": 379 + }, + { + "epoch": 0.51, + "learning_rate": 4.745156954480617e-06, + "loss": 0.5206, + "step": 380 + }, + { + "epoch": 0.51, + "learning_rate": 4.743554434707111e-06, + "loss": 0.4833, + "step": 381 + }, + { + "epoch": 0.51, + "learning_rate": 4.741947164524691e-06, + "loss": 0.4636, + "step": 382 + }, + { + "epoch": 0.52, + "learning_rate": 4.7403351473365235e-06, + "loss": 0.5564, + "step": 383 + }, + { + "epoch": 0.52, + "learning_rate": 4.738718386555826e-06, + "loss": 0.531, + "step": 384 + }, + { + "epoch": 0.52, + "learning_rate": 4.737096885605862e-06, + "loss": 0.5505, + "step": 385 + }, + { + "epoch": 0.52, + "learning_rate": 4.735470647919928e-06, + "loss": 0.5142, + "step": 386 + }, + { + "epoch": 0.52, + "learning_rate": 4.733839676941355e-06, + "loss": 0.4376, + "step": 387 + }, + { + "epoch": 0.52, + "learning_rate": 4.732203976123492e-06, + "loss": 0.573, + "step": 388 + }, + { + "epoch": 0.52, + "learning_rate": 4.730563548929703e-06, + "loss": 0.5381, + "step": 389 + }, + { + "epoch": 0.53, + "learning_rate": 4.728918398833361e-06, + "loss": 0.4666, + "step": 390 + }, + { + "epoch": 0.53, + "learning_rate": 4.727268529317839e-06, + "loss": 0.4646, + "step": 391 + }, + { + "epoch": 0.53, + "learning_rate": 4.725613943876502e-06, + "loss": 0.6322, + "step": 392 + }, + { + "epoch": 0.53, + "learning_rate": 4.723954646012699e-06, + "loss": 0.5905, + "step": 393 + }, + { + "epoch": 0.53, + "learning_rate": 4.7222906392397596e-06, + "loss": 0.5548, + "step": 394 + }, + { + "epoch": 0.53, + "learning_rate": 4.720621927080982e-06, + "loss": 0.5315, + "step": 395 + }, + { + "epoch": 0.53, + "learning_rate": 4.718948513069629e-06, + "loss": 0.4865, + "step": 396 + }, + { + "epoch": 0.54, + "learning_rate": 4.717270400748917e-06, + "loss": 0.5468, + "step": 397 + }, + { + "epoch": 0.54, + "learning_rate": 4.715587593672012e-06, + "loss": 0.5978, + "step": 398 + }, + { + "epoch": 0.54, + "learning_rate": 4.713900095402019e-06, + "loss": 0.4834, + "step": 399 + }, + { + "epoch": 0.54, + "learning_rate": 4.7122079095119765e-06, + "loss": 0.5655, + "step": 400 + }, + { + "epoch": 0.54, + "learning_rate": 4.710511039584849e-06, + "loss": 0.5385, + "step": 401 + }, + { + "epoch": 0.54, + "learning_rate": 4.708809489213519e-06, + "loss": 0.5549, + "step": 402 + }, + { + "epoch": 0.54, + "learning_rate": 4.707103262000778e-06, + "loss": 0.5244, + "step": 403 + }, + { + "epoch": 0.54, + "learning_rate": 4.70539236155932e-06, + "loss": 0.5174, + "step": 404 + }, + { + "epoch": 0.55, + "learning_rate": 4.7036767915117355e-06, + "loss": 0.5293, + "step": 405 + }, + { + "epoch": 0.55, + "learning_rate": 4.7019565554905e-06, + "loss": 0.4721, + "step": 406 + }, + { + "epoch": 0.55, + "learning_rate": 4.700231657137971e-06, + "loss": 0.5781, + "step": 407 + }, + { + "epoch": 0.55, + "learning_rate": 4.698502100106376e-06, + "loss": 0.538, + "step": 408 + }, + { + "epoch": 0.55, + "learning_rate": 4.6967678880578075e-06, + "loss": 0.5557, + "step": 409 + }, + { + "epoch": 0.55, + "learning_rate": 4.695029024664214e-06, + "loss": 0.5119, + "step": 410 + }, + { + "epoch": 0.55, + "learning_rate": 4.693285513607392e-06, + "loss": 0.6091, + "step": 411 + }, + { + "epoch": 0.56, + "learning_rate": 4.691537358578979e-06, + "loss": 0.5572, + "step": 412 + }, + { + "epoch": 0.56, + "learning_rate": 4.689784563280447e-06, + "loss": 0.4871, + "step": 413 + }, + { + "epoch": 0.56, + "learning_rate": 4.688027131423092e-06, + "loss": 0.5147, + "step": 414 + }, + { + "epoch": 0.56, + "learning_rate": 4.686265066728026e-06, + "loss": 0.6003, + "step": 415 + }, + { + "epoch": 0.56, + "learning_rate": 4.684498372926172e-06, + "loss": 0.4887, + "step": 416 + }, + { + "epoch": 0.56, + "learning_rate": 4.6827270537582544e-06, + "loss": 0.4499, + "step": 417 + }, + { + "epoch": 0.56, + "learning_rate": 4.680951112974791e-06, + "loss": 0.5854, + "step": 418 + }, + { + "epoch": 0.56, + "learning_rate": 4.679170554336085e-06, + "loss": 0.5084, + "step": 419 + }, + { + "epoch": 0.57, + "learning_rate": 4.677385381612215e-06, + "loss": 0.5376, + "step": 420 + }, + { + "epoch": 0.57, + "learning_rate": 4.675595598583035e-06, + "loss": 0.4751, + "step": 421 + }, + { + "epoch": 0.57, + "learning_rate": 4.673801209038154e-06, + "loss": 0.5306, + "step": 422 + }, + { + "epoch": 0.57, + "learning_rate": 4.672002216776941e-06, + "loss": 0.4664, + "step": 423 + }, + { + "epoch": 0.57, + "learning_rate": 4.670198625608504e-06, + "loss": 0.5748, + "step": 424 + }, + { + "epoch": 0.57, + "learning_rate": 4.6683904393516955e-06, + "loss": 0.5191, + "step": 425 + }, + { + "epoch": 0.57, + "learning_rate": 4.666577661835092e-06, + "loss": 0.5322, + "step": 426 + }, + { + "epoch": 0.58, + "learning_rate": 4.664760296896993e-06, + "loss": 0.4798, + "step": 427 + }, + { + "epoch": 0.58, + "learning_rate": 4.6629383483854115e-06, + "loss": 0.6247, + "step": 428 + }, + { + "epoch": 0.58, + "learning_rate": 4.661111820158068e-06, + "loss": 0.4303, + "step": 429 + }, + { + "epoch": 0.58, + "learning_rate": 4.6592807160823735e-06, + "loss": 0.6311, + "step": 430 + }, + { + "epoch": 0.58, + "learning_rate": 4.657445040035434e-06, + "loss": 0.5763, + "step": 431 + }, + { + "epoch": 0.58, + "learning_rate": 4.655604795904034e-06, + "loss": 0.5389, + "step": 432 + }, + { + "epoch": 0.58, + "learning_rate": 4.65375998758463e-06, + "loss": 0.4794, + "step": 433 + }, + { + "epoch": 0.58, + "learning_rate": 4.6519106189833405e-06, + "loss": 0.5716, + "step": 434 + }, + { + "epoch": 0.59, + "learning_rate": 4.650056694015943e-06, + "loss": 0.4862, + "step": 435 + }, + { + "epoch": 0.59, + "learning_rate": 4.6481982166078615e-06, + "loss": 0.47, + "step": 436 + }, + { + "epoch": 0.59, + "learning_rate": 4.646335190694159e-06, + "loss": 0.4629, + "step": 437 + }, + { + "epoch": 0.59, + "learning_rate": 4.644467620219527e-06, + "loss": 0.5563, + "step": 438 + }, + { + "epoch": 0.59, + "learning_rate": 4.642595509138285e-06, + "loss": 0.5663, + "step": 439 + }, + { + "epoch": 0.59, + "learning_rate": 4.640718861414361e-06, + "loss": 0.5049, + "step": 440 + }, + { + "epoch": 0.59, + "learning_rate": 4.63883768102129e-06, + "loss": 0.4795, + "step": 441 + }, + { + "epoch": 0.6, + "learning_rate": 4.6369519719422075e-06, + "loss": 0.5486, + "step": 442 + }, + { + "epoch": 0.6, + "learning_rate": 4.635061738169835e-06, + "loss": 0.5587, + "step": 443 + }, + { + "epoch": 0.6, + "learning_rate": 4.633166983706474e-06, + "loss": 0.5877, + "step": 444 + }, + { + "epoch": 0.6, + "learning_rate": 4.631267712563998e-06, + "loss": 0.5305, + "step": 445 + }, + { + "epoch": 0.6, + "learning_rate": 4.629363928763848e-06, + "loss": 0.4611, + "step": 446 + }, + { + "epoch": 0.6, + "learning_rate": 4.627455636337014e-06, + "loss": 0.5355, + "step": 447 + }, + { + "epoch": 0.6, + "learning_rate": 4.625542839324036e-06, + "loss": 0.4917, + "step": 448 + }, + { + "epoch": 0.61, + "learning_rate": 4.6236255417749906e-06, + "loss": 0.5147, + "step": 449 + }, + { + "epoch": 0.61, + "learning_rate": 4.621703747749484e-06, + "loss": 0.5936, + "step": 450 + }, + { + "epoch": 0.61, + "learning_rate": 4.619777461316643e-06, + "loss": 0.6031, + "step": 451 + }, + { + "epoch": 0.61, + "learning_rate": 4.617846686555107e-06, + "loss": 0.5428, + "step": 452 + }, + { + "epoch": 0.61, + "learning_rate": 4.615911427553017e-06, + "loss": 0.5444, + "step": 453 + }, + { + "epoch": 0.61, + "learning_rate": 4.613971688408011e-06, + "loss": 0.5021, + "step": 454 + }, + { + "epoch": 0.61, + "learning_rate": 4.612027473227212e-06, + "loss": 0.562, + "step": 455 + }, + { + "epoch": 0.61, + "learning_rate": 4.61007878612722e-06, + "loss": 0.5617, + "step": 456 + }, + { + "epoch": 0.62, + "learning_rate": 4.608125631234104e-06, + "loss": 0.5132, + "step": 457 + }, + { + "epoch": 0.62, + "learning_rate": 4.606168012683394e-06, + "loss": 0.5331, + "step": 458 + }, + { + "epoch": 0.62, + "learning_rate": 4.604205934620069e-06, + "loss": 0.5435, + "step": 459 + }, + { + "epoch": 0.62, + "learning_rate": 4.602239401198552e-06, + "loss": 0.4702, + "step": 460 + }, + { + "epoch": 0.62, + "learning_rate": 4.6002684165827e-06, + "loss": 0.5081, + "step": 461 + }, + { + "epoch": 0.62, + "learning_rate": 4.5982929849457915e-06, + "loss": 0.5246, + "step": 462 + }, + { + "epoch": 0.62, + "learning_rate": 4.596313110470525e-06, + "loss": 0.5206, + "step": 463 + }, + { + "epoch": 0.63, + "learning_rate": 4.594328797349005e-06, + "loss": 0.473, + "step": 464 + }, + { + "epoch": 0.63, + "learning_rate": 4.592340049782732e-06, + "loss": 0.523, + "step": 465 + }, + { + "epoch": 0.63, + "learning_rate": 4.590346871982599e-06, + "loss": 0.5828, + "step": 466 + }, + { + "epoch": 0.63, + "learning_rate": 4.588349268168878e-06, + "loss": 0.472, + "step": 467 + }, + { + "epoch": 0.63, + "learning_rate": 4.58634724257121e-06, + "loss": 0.5539, + "step": 468 + }, + { + "epoch": 0.63, + "learning_rate": 4.5843407994286035e-06, + "loss": 0.477, + "step": 469 + }, + { + "epoch": 0.63, + "learning_rate": 4.5823299429894155e-06, + "loss": 0.464, + "step": 470 + }, + { + "epoch": 0.63, + "learning_rate": 4.580314677511352e-06, + "loss": 0.5313, + "step": 471 + }, + { + "epoch": 0.64, + "learning_rate": 4.57829500726145e-06, + "loss": 0.5443, + "step": 472 + }, + { + "epoch": 0.64, + "learning_rate": 4.576270936516078e-06, + "loss": 0.4738, + "step": 473 + }, + { + "epoch": 0.64, + "learning_rate": 4.574242469560917e-06, + "loss": 0.5028, + "step": 474 + }, + { + "epoch": 0.64, + "learning_rate": 4.5722096106909595e-06, + "loss": 0.5409, + "step": 475 + }, + { + "epoch": 0.64, + "learning_rate": 4.570172364210497e-06, + "loss": 0.5066, + "step": 476 + }, + { + "epoch": 0.64, + "learning_rate": 4.56813073443311e-06, + "loss": 0.5283, + "step": 477 + }, + { + "epoch": 0.64, + "learning_rate": 4.5660847256816605e-06, + "loss": 0.579, + "step": 478 + }, + { + "epoch": 0.65, + "learning_rate": 4.564034342288282e-06, + "loss": 0.5257, + "step": 479 + }, + { + "epoch": 0.65, + "learning_rate": 4.561979588594372e-06, + "loss": 0.5128, + "step": 480 + }, + { + "epoch": 0.65, + "learning_rate": 4.55992046895058e-06, + "loss": 0.48, + "step": 481 + }, + { + "epoch": 0.65, + "learning_rate": 4.5578569877168e-06, + "loss": 0.5702, + "step": 482 + }, + { + "epoch": 0.65, + "learning_rate": 4.555789149262162e-06, + "loss": 0.5667, + "step": 483 + }, + { + "epoch": 0.65, + "learning_rate": 4.553716957965021e-06, + "loss": 0.4946, + "step": 484 + }, + { + "epoch": 0.65, + "learning_rate": 4.551640418212948e-06, + "loss": 0.5107, + "step": 485 + }, + { + "epoch": 0.65, + "learning_rate": 4.549559534402723e-06, + "loss": 0.479, + "step": 486 + }, + { + "epoch": 0.66, + "learning_rate": 4.547474310940324e-06, + "loss": 0.5146, + "step": 487 + }, + { + "epoch": 0.66, + "learning_rate": 4.545384752240913e-06, + "loss": 0.4706, + "step": 488 + }, + { + "epoch": 0.66, + "learning_rate": 4.543290862728838e-06, + "loss": 0.5903, + "step": 489 + }, + { + "epoch": 0.66, + "learning_rate": 4.541192646837613e-06, + "loss": 0.563, + "step": 490 + }, + { + "epoch": 0.66, + "learning_rate": 4.539090109009912e-06, + "loss": 0.4912, + "step": 491 + }, + { + "epoch": 0.66, + "learning_rate": 4.536983253697561e-06, + "loss": 0.5583, + "step": 492 + }, + { + "epoch": 0.66, + "learning_rate": 4.5348720853615304e-06, + "loss": 0.5759, + "step": 493 + }, + { + "epoch": 0.67, + "learning_rate": 4.532756608471917e-06, + "loss": 0.5443, + "step": 494 + }, + { + "epoch": 0.67, + "learning_rate": 4.530636827507946e-06, + "loss": 0.4323, + "step": 495 + }, + { + "epoch": 0.67, + "learning_rate": 4.528512746957953e-06, + "loss": 0.5323, + "step": 496 + }, + { + "epoch": 0.67, + "learning_rate": 4.526384371319377e-06, + "loss": 0.5063, + "step": 497 + }, + { + "epoch": 0.67, + "learning_rate": 4.524251705098752e-06, + "loss": 0.4548, + "step": 498 + }, + { + "epoch": 0.67, + "learning_rate": 4.5221147528116986e-06, + "loss": 0.5014, + "step": 499 + }, + { + "epoch": 0.67, + "learning_rate": 4.5199735189829095e-06, + "loss": 0.5034, + "step": 500 + }, + { + "epoch": 0.68, + "learning_rate": 4.517828008146145e-06, + "loss": 0.4641, + "step": 501 + }, + { + "epoch": 0.68, + "learning_rate": 4.515678224844219e-06, + "loss": 0.5038, + "step": 502 + }, + { + "epoch": 0.68, + "learning_rate": 4.513524173628994e-06, + "loss": 0.4718, + "step": 503 + }, + { + "epoch": 0.68, + "learning_rate": 4.51136585906137e-06, + "loss": 0.4941, + "step": 504 + }, + { + "epoch": 0.68, + "learning_rate": 4.50920328571127e-06, + "loss": 0.5409, + "step": 505 + }, + { + "epoch": 0.68, + "learning_rate": 4.50703645815764e-06, + "loss": 0.4947, + "step": 506 + }, + { + "epoch": 0.68, + "learning_rate": 4.504865380988428e-06, + "loss": 0.458, + "step": 507 + }, + { + "epoch": 0.68, + "learning_rate": 4.502690058800583e-06, + "loss": 0.5038, + "step": 508 + }, + { + "epoch": 0.69, + "learning_rate": 4.500510496200043e-06, + "loss": 0.5554, + "step": 509 + }, + { + "epoch": 0.69, + "learning_rate": 4.498326697801723e-06, + "loss": 0.5488, + "step": 510 + }, + { + "epoch": 0.69, + "learning_rate": 4.4961386682295045e-06, + "loss": 0.4492, + "step": 511 + }, + { + "epoch": 0.69, + "learning_rate": 4.493946412116235e-06, + "loss": 0.5448, + "step": 512 + }, + { + "epoch": 0.69, + "learning_rate": 4.491749934103702e-06, + "loss": 0.5203, + "step": 513 + }, + { + "epoch": 0.69, + "learning_rate": 4.4895492388426394e-06, + "loss": 0.5076, + "step": 514 + }, + { + "epoch": 0.69, + "learning_rate": 4.487344330992706e-06, + "loss": 0.5069, + "step": 515 + }, + { + "epoch": 0.7, + "learning_rate": 4.485135215222485e-06, + "loss": 0.5581, + "step": 516 + }, + { + "epoch": 0.7, + "learning_rate": 4.482921896209463e-06, + "loss": 0.5024, + "step": 517 + }, + { + "epoch": 0.7, + "learning_rate": 4.480704378640031e-06, + "loss": 0.4799, + "step": 518 + }, + { + "epoch": 0.7, + "learning_rate": 4.478482667209471e-06, + "loss": 0.5166, + "step": 519 + }, + { + "epoch": 0.7, + "learning_rate": 4.476256766621937e-06, + "loss": 0.5382, + "step": 520 + }, + { + "epoch": 0.7, + "learning_rate": 4.474026681590464e-06, + "loss": 0.4518, + "step": 521 + }, + { + "epoch": 0.7, + "learning_rate": 4.471792416836938e-06, + "loss": 0.5875, + "step": 522 + }, + { + "epoch": 0.7, + "learning_rate": 4.4695539770920985e-06, + "loss": 0.4648, + "step": 523 + }, + { + "epoch": 0.71, + "learning_rate": 4.467311367095526e-06, + "loss": 0.48, + "step": 524 + }, + { + "epoch": 0.71, + "learning_rate": 4.465064591595629e-06, + "loss": 0.5639, + "step": 525 + }, + { + "epoch": 0.71, + "learning_rate": 4.462813655349637e-06, + "loss": 0.4964, + "step": 526 + }, + { + "epoch": 0.71, + "learning_rate": 4.4605585631235896e-06, + "loss": 0.4855, + "step": 527 + }, + { + "epoch": 0.71, + "learning_rate": 4.458299319692323e-06, + "loss": 0.5257, + "step": 528 + }, + { + "epoch": 0.71, + "learning_rate": 4.456035929839468e-06, + "loss": 0.5084, + "step": 529 + }, + { + "epoch": 0.71, + "learning_rate": 4.45376839835743e-06, + "loss": 0.5513, + "step": 530 + }, + { + "epoch": 0.72, + "learning_rate": 4.451496730047387e-06, + "loss": 0.5127, + "step": 531 + }, + { + "epoch": 0.72, + "learning_rate": 4.449220929719274e-06, + "loss": 0.4924, + "step": 532 + }, + { + "epoch": 0.72, + "learning_rate": 4.4469410021917784e-06, + "loss": 0.4309, + "step": 533 + }, + { + "epoch": 0.72, + "learning_rate": 4.444656952292321e-06, + "loss": 0.5109, + "step": 534 + }, + { + "epoch": 0.72, + "learning_rate": 4.442368784857057e-06, + "loss": 0.6275, + "step": 535 + }, + { + "epoch": 0.72, + "learning_rate": 4.440076504730855e-06, + "loss": 0.4627, + "step": 536 + }, + { + "epoch": 0.72, + "learning_rate": 4.4377801167672945e-06, + "loss": 0.5138, + "step": 537 + }, + { + "epoch": 0.73, + "learning_rate": 4.435479625828652e-06, + "loss": 0.5262, + "step": 538 + }, + { + "epoch": 0.73, + "learning_rate": 4.4331750367858906e-06, + "loss": 0.4794, + "step": 539 + }, + { + "epoch": 0.73, + "learning_rate": 4.430866354518653e-06, + "loss": 0.4742, + "step": 540 + }, + { + "epoch": 0.73, + "learning_rate": 4.428553583915245e-06, + "loss": 0.457, + "step": 541 + }, + { + "epoch": 0.73, + "learning_rate": 4.426236729872633e-06, + "loss": 0.5422, + "step": 542 + }, + { + "epoch": 0.73, + "learning_rate": 4.423915797296426e-06, + "loss": 0.4505, + "step": 543 + }, + { + "epoch": 0.73, + "learning_rate": 4.421590791100869e-06, + "loss": 0.4995, + "step": 544 + }, + { + "epoch": 0.73, + "learning_rate": 4.419261716208837e-06, + "loss": 0.5333, + "step": 545 + }, + { + "epoch": 0.74, + "learning_rate": 4.416928577551813e-06, + "loss": 0.6147, + "step": 546 + }, + { + "epoch": 0.74, + "learning_rate": 4.414591380069892e-06, + "loss": 0.5793, + "step": 547 + }, + { + "epoch": 0.74, + "learning_rate": 4.412250128711754e-06, + "loss": 0.4945, + "step": 548 + }, + { + "epoch": 0.74, + "learning_rate": 4.409904828434669e-06, + "loss": 0.4933, + "step": 549 + }, + { + "epoch": 0.74, + "learning_rate": 4.4075554842044795e-06, + "loss": 0.4903, + "step": 550 + }, + { + "epoch": 0.74, + "learning_rate": 4.405202100995588e-06, + "loss": 0.5373, + "step": 551 + }, + { + "epoch": 0.74, + "learning_rate": 4.402844683790953e-06, + "loss": 0.5091, + "step": 552 + }, + { + "epoch": 0.75, + "learning_rate": 4.400483237582067e-06, + "loss": 0.5361, + "step": 553 + }, + { + "epoch": 0.75, + "learning_rate": 4.3981177673689625e-06, + "loss": 0.5354, + "step": 554 + }, + { + "epoch": 0.75, + "learning_rate": 4.395748278160184e-06, + "loss": 0.5201, + "step": 555 + }, + { + "epoch": 0.75, + "learning_rate": 4.393374774972793e-06, + "loss": 0.5476, + "step": 556 + }, + { + "epoch": 0.75, + "learning_rate": 4.390997262832345e-06, + "loss": 0.59, + "step": 557 + }, + { + "epoch": 0.75, + "learning_rate": 4.3886157467728845e-06, + "loss": 0.5464, + "step": 558 + }, + { + "epoch": 0.75, + "learning_rate": 4.386230231836936e-06, + "loss": 0.4834, + "step": 559 + }, + { + "epoch": 0.75, + "learning_rate": 4.383840723075488e-06, + "loss": 0.5043, + "step": 560 + }, + { + "epoch": 0.76, + "learning_rate": 4.38144722554799e-06, + "loss": 0.5101, + "step": 561 + }, + { + "epoch": 0.76, + "learning_rate": 4.3790497443223316e-06, + "loss": 0.5189, + "step": 562 + }, + { + "epoch": 0.76, + "learning_rate": 4.376648284474841e-06, + "loss": 0.4929, + "step": 563 + }, + { + "epoch": 0.76, + "learning_rate": 4.374242851090269e-06, + "loss": 0.4697, + "step": 564 + }, + { + "epoch": 0.76, + "learning_rate": 4.37183344926178e-06, + "loss": 0.4997, + "step": 565 + }, + { + "epoch": 0.76, + "learning_rate": 4.369420084090942e-06, + "loss": 0.5881, + "step": 566 + }, + { + "epoch": 0.76, + "learning_rate": 4.367002760687713e-06, + "loss": 0.5454, + "step": 567 + }, + { + "epoch": 0.77, + "learning_rate": 4.364581484170435e-06, + "loss": 0.5724, + "step": 568 + }, + { + "epoch": 0.77, + "learning_rate": 4.362156259665817e-06, + "loss": 0.5561, + "step": 569 + }, + { + "epoch": 0.77, + "learning_rate": 4.3597270923089286e-06, + "loss": 0.4545, + "step": 570 + }, + { + "epoch": 0.77, + "learning_rate": 4.357293987243188e-06, + "loss": 0.5614, + "step": 571 + }, + { + "epoch": 0.77, + "learning_rate": 4.354856949620351e-06, + "loss": 0.4979, + "step": 572 + }, + { + "epoch": 0.77, + "learning_rate": 4.3524159846004985e-06, + "loss": 0.5188, + "step": 573 + }, + { + "epoch": 0.77, + "learning_rate": 4.349971097352031e-06, + "loss": 0.4835, + "step": 574 + }, + { + "epoch": 0.77, + "learning_rate": 4.3475222930516484e-06, + "loss": 0.5257, + "step": 575 + }, + { + "epoch": 0.78, + "learning_rate": 4.345069576884348e-06, + "loss": 0.5585, + "step": 576 + }, + { + "epoch": 0.78, + "learning_rate": 4.34261295404341e-06, + "loss": 0.5092, + "step": 577 + }, + { + "epoch": 0.78, + "learning_rate": 4.340152429730384e-06, + "loss": 0.5737, + "step": 578 + }, + { + "epoch": 0.78, + "learning_rate": 4.337688009155084e-06, + "loss": 0.4709, + "step": 579 + }, + { + "epoch": 0.78, + "learning_rate": 4.33521969753557e-06, + "loss": 0.5048, + "step": 580 + }, + { + "epoch": 0.78, + "learning_rate": 4.332747500098143e-06, + "loss": 0.4783, + "step": 581 + }, + { + "epoch": 0.78, + "learning_rate": 4.3302714220773305e-06, + "loss": 0.4646, + "step": 582 + }, + { + "epoch": 0.79, + "learning_rate": 4.327791468715878e-06, + "loss": 0.572, + "step": 583 + }, + { + "epoch": 0.79, + "learning_rate": 4.3253076452647355e-06, + "loss": 0.4973, + "step": 584 + }, + { + "epoch": 0.79, + "learning_rate": 4.322819956983047e-06, + "loss": 0.4625, + "step": 585 + }, + { + "epoch": 0.79, + "learning_rate": 4.320328409138141e-06, + "loss": 0.5317, + "step": 586 + }, + { + "epoch": 0.79, + "learning_rate": 4.317833007005517e-06, + "loss": 0.5315, + "step": 587 + }, + { + "epoch": 0.79, + "learning_rate": 4.315333755868836e-06, + "loss": 0.5021, + "step": 588 + }, + { + "epoch": 0.79, + "learning_rate": 4.3128306610199076e-06, + "loss": 0.5682, + "step": 589 + }, + { + "epoch": 0.8, + "learning_rate": 4.310323727758682e-06, + "loss": 0.4739, + "step": 590 + }, + { + "epoch": 0.8, + "learning_rate": 4.3078129613932354e-06, + "loss": 0.4761, + "step": 591 + }, + { + "epoch": 0.8, + "learning_rate": 4.305298367239758e-06, + "loss": 0.507, + "step": 592 + }, + { + "epoch": 0.8, + "learning_rate": 4.302779950622551e-06, + "loss": 0.5251, + "step": 593 + }, + { + "epoch": 0.8, + "learning_rate": 4.300257716874001e-06, + "loss": 0.5477, + "step": 594 + }, + { + "epoch": 0.8, + "learning_rate": 4.297731671334584e-06, + "loss": 0.4808, + "step": 595 + }, + { + "epoch": 0.8, + "learning_rate": 4.2952018193528425e-06, + "loss": 0.4764, + "step": 596 + }, + { + "epoch": 0.8, + "learning_rate": 4.2926681662853785e-06, + "loss": 0.4673, + "step": 597 + }, + { + "epoch": 0.81, + "learning_rate": 4.290130717496847e-06, + "loss": 0.4791, + "step": 598 + }, + { + "epoch": 0.81, + "learning_rate": 4.2875894783599335e-06, + "loss": 0.4691, + "step": 599 + }, + { + "epoch": 0.81, + "learning_rate": 4.2850444542553535e-06, + "loss": 0.5597, + "step": 600 + }, + { + "epoch": 0.81, + "learning_rate": 4.2824956505718355e-06, + "loss": 0.4911, + "step": 601 + }, + { + "epoch": 0.81, + "learning_rate": 4.279943072706109e-06, + "loss": 0.5685, + "step": 602 + }, + { + "epoch": 0.81, + "learning_rate": 4.2773867260629e-06, + "loss": 0.4593, + "step": 603 + }, + { + "epoch": 0.81, + "learning_rate": 4.274826616054906e-06, + "loss": 0.4983, + "step": 604 + }, + { + "epoch": 0.82, + "learning_rate": 4.2722627481028e-06, + "loss": 0.5314, + "step": 605 + }, + { + "epoch": 0.82, + "learning_rate": 4.269695127635209e-06, + "loss": 0.5165, + "step": 606 + }, + { + "epoch": 0.82, + "learning_rate": 4.267123760088706e-06, + "loss": 0.5543, + "step": 607 + }, + { + "epoch": 0.82, + "learning_rate": 4.264548650907798e-06, + "loss": 0.4761, + "step": 608 + }, + { + "epoch": 0.82, + "learning_rate": 4.261969805544914e-06, + "loss": 0.4658, + "step": 609 + }, + { + "epoch": 0.82, + "learning_rate": 4.259387229460393e-06, + "loss": 0.5404, + "step": 610 + }, + { + "epoch": 0.82, + "learning_rate": 4.2568009281224755e-06, + "loss": 0.513, + "step": 611 + }, + { + "epoch": 0.82, + "learning_rate": 4.2542109070072884e-06, + "loss": 0.4678, + "step": 612 + }, + { + "epoch": 0.83, + "learning_rate": 4.251617171598834e-06, + "loss": 0.4367, + "step": 613 + }, + { + "epoch": 0.83, + "learning_rate": 4.24901972738898e-06, + "loss": 0.5344, + "step": 614 + }, + { + "epoch": 0.83, + "learning_rate": 4.2464185798774485e-06, + "loss": 0.5308, + "step": 615 + }, + { + "epoch": 0.83, + "learning_rate": 4.243813734571798e-06, + "loss": 0.4791, + "step": 616 + }, + { + "epoch": 0.83, + "learning_rate": 4.241205196987422e-06, + "loss": 0.5168, + "step": 617 + }, + { + "epoch": 0.83, + "learning_rate": 4.2385929726475295e-06, + "loss": 0.5626, + "step": 618 + }, + { + "epoch": 0.83, + "learning_rate": 4.235977067083134e-06, + "loss": 0.5298, + "step": 619 + }, + { + "epoch": 0.84, + "learning_rate": 4.233357485833048e-06, + "loss": 0.4914, + "step": 620 + }, + { + "epoch": 0.84, + "learning_rate": 4.230734234443861e-06, + "loss": 0.5275, + "step": 621 + }, + { + "epoch": 0.84, + "learning_rate": 4.228107318469938e-06, + "loss": 0.4542, + "step": 622 + }, + { + "epoch": 0.84, + "learning_rate": 4.225476743473403e-06, + "loss": 0.5132, + "step": 623 + }, + { + "epoch": 0.84, + "learning_rate": 4.222842515024123e-06, + "loss": 0.6063, + "step": 624 + }, + { + "epoch": 0.84, + "learning_rate": 4.220204638699707e-06, + "loss": 0.472, + "step": 625 + }, + { + "epoch": 0.84, + "learning_rate": 4.217563120085483e-06, + "loss": 0.5014, + "step": 626 + }, + { + "epoch": 0.85, + "learning_rate": 4.214917964774493e-06, + "loss": 0.5832, + "step": 627 + }, + { + "epoch": 0.85, + "learning_rate": 4.2122691783674786e-06, + "loss": 0.5557, + "step": 628 + }, + { + "epoch": 0.85, + "learning_rate": 4.209616766472869e-06, + "loss": 0.4941, + "step": 629 + }, + { + "epoch": 0.85, + "learning_rate": 4.206960734706774e-06, + "loss": 0.4953, + "step": 630 + }, + { + "epoch": 0.85, + "learning_rate": 4.204301088692964e-06, + "loss": 0.461, + "step": 631 + }, + { + "epoch": 0.85, + "learning_rate": 4.20163783406286e-06, + "loss": 0.5275, + "step": 632 + }, + { + "epoch": 0.85, + "learning_rate": 4.19897097645553e-06, + "loss": 0.527, + "step": 633 + }, + { + "epoch": 0.85, + "learning_rate": 4.1963005215176655e-06, + "loss": 0.5451, + "step": 634 + }, + { + "epoch": 0.86, + "learning_rate": 4.193626474903578e-06, + "loss": 0.5317, + "step": 635 + }, + { + "epoch": 0.86, + "learning_rate": 4.190948842275182e-06, + "loss": 0.5781, + "step": 636 + }, + { + "epoch": 0.86, + "learning_rate": 4.188267629301986e-06, + "loss": 0.5642, + "step": 637 + }, + { + "epoch": 0.86, + "learning_rate": 4.185582841661079e-06, + "loss": 0.4805, + "step": 638 + }, + { + "epoch": 0.86, + "learning_rate": 4.182894485037117e-06, + "loss": 0.5258, + "step": 639 + }, + { + "epoch": 0.86, + "learning_rate": 4.180202565122318e-06, + "loss": 0.4035, + "step": 640 + }, + { + "epoch": 0.86, + "learning_rate": 4.177507087616438e-06, + "loss": 0.5531, + "step": 641 + }, + { + "epoch": 0.87, + "learning_rate": 4.174808058226771e-06, + "loss": 0.4824, + "step": 642 + }, + { + "epoch": 0.87, + "learning_rate": 4.172105482668127e-06, + "loss": 0.5191, + "step": 643 + }, + { + "epoch": 0.87, + "learning_rate": 4.169399366662831e-06, + "loss": 0.4657, + "step": 644 + }, + { + "epoch": 0.87, + "learning_rate": 4.166689715940699e-06, + "loss": 0.4518, + "step": 645 + }, + { + "epoch": 0.87, + "learning_rate": 4.163976536239032e-06, + "loss": 0.5025, + "step": 646 + }, + { + "epoch": 0.87, + "learning_rate": 4.161259833302605e-06, + "loss": 0.5374, + "step": 647 + }, + { + "epoch": 0.87, + "learning_rate": 4.15853961288365e-06, + "loss": 0.5026, + "step": 648 + }, + { + "epoch": 0.87, + "learning_rate": 4.155815880741851e-06, + "loss": 0.501, + "step": 649 + }, + { + "epoch": 0.88, + "learning_rate": 4.153088642644325e-06, + "loss": 0.4475, + "step": 650 + }, + { + "epoch": 0.88, + "learning_rate": 4.150357904365611e-06, + "loss": 0.5427, + "step": 651 + }, + { + "epoch": 0.88, + "learning_rate": 4.147623671687662e-06, + "loss": 0.6856, + "step": 652 + }, + { + "epoch": 0.88, + "learning_rate": 4.1448859503998275e-06, + "loss": 0.5408, + "step": 653 + }, + { + "epoch": 0.88, + "learning_rate": 4.142144746298846e-06, + "loss": 0.5569, + "step": 654 + }, + { + "epoch": 0.88, + "learning_rate": 4.1394000651888285e-06, + "loss": 0.4926, + "step": 655 + }, + { + "epoch": 0.88, + "learning_rate": 4.13665191288125e-06, + "loss": 0.5471, + "step": 656 + }, + { + "epoch": 0.89, + "learning_rate": 4.133900295194931e-06, + "loss": 0.5638, + "step": 657 + }, + { + "epoch": 0.89, + "learning_rate": 4.131145217956036e-06, + "loss": 0.5402, + "step": 658 + }, + { + "epoch": 0.89, + "learning_rate": 4.128386686998048e-06, + "loss": 0.4983, + "step": 659 + }, + { + "epoch": 0.89, + "learning_rate": 4.125624708161768e-06, + "loss": 0.5068, + "step": 660 + }, + { + "epoch": 0.89, + "learning_rate": 4.122859287295294e-06, + "loss": 0.5193, + "step": 661 + }, + { + "epoch": 0.89, + "learning_rate": 4.120090430254013e-06, + "loss": 0.5137, + "step": 662 + }, + { + "epoch": 0.89, + "learning_rate": 4.1173181429005895e-06, + "loss": 0.5371, + "step": 663 + }, + { + "epoch": 0.89, + "learning_rate": 4.114542431104948e-06, + "loss": 0.553, + "step": 664 + }, + { + "epoch": 0.9, + "learning_rate": 4.111763300744265e-06, + "loss": 0.4669, + "step": 665 + }, + { + "epoch": 0.9, + "learning_rate": 4.108980757702956e-06, + "loss": 0.5006, + "step": 666 + }, + { + "epoch": 0.9, + "learning_rate": 4.106194807872663e-06, + "loss": 0.5834, + "step": 667 + }, + { + "epoch": 0.9, + "learning_rate": 4.10340545715224e-06, + "loss": 0.5696, + "step": 668 + }, + { + "epoch": 0.9, + "learning_rate": 4.100612711447741e-06, + "loss": 0.5247, + "step": 669 + }, + { + "epoch": 0.9, + "learning_rate": 4.097816576672412e-06, + "loss": 0.5, + "step": 670 + }, + { + "epoch": 0.9, + "learning_rate": 4.09501705874667e-06, + "loss": 0.5305, + "step": 671 + }, + { + "epoch": 0.91, + "learning_rate": 4.0922141635981e-06, + "loss": 0.5026, + "step": 672 + }, + { + "epoch": 0.91, + "learning_rate": 4.089407897161434e-06, + "loss": 0.5385, + "step": 673 + }, + { + "epoch": 0.91, + "learning_rate": 4.086598265378545e-06, + "loss": 0.49, + "step": 674 + }, + { + "epoch": 0.91, + "learning_rate": 4.0837852741984305e-06, + "loss": 0.508, + "step": 675 + }, + { + "epoch": 0.91, + "learning_rate": 4.0809689295772e-06, + "loss": 0.4668, + "step": 676 + }, + { + "epoch": 0.91, + "learning_rate": 4.078149237478066e-06, + "loss": 0.5324, + "step": 677 + }, + { + "epoch": 0.91, + "learning_rate": 4.075326203871327e-06, + "loss": 0.523, + "step": 678 + }, + { + "epoch": 0.92, + "learning_rate": 4.072499834734357e-06, + "loss": 0.5059, + "step": 679 + }, + { + "epoch": 0.92, + "learning_rate": 4.069670136051591e-06, + "loss": 0.5377, + "step": 680 + }, + { + "epoch": 0.92, + "learning_rate": 4.066837113814518e-06, + "loss": 0.48, + "step": 681 + }, + { + "epoch": 0.92, + "learning_rate": 4.06400077402166e-06, + "loss": 0.4983, + "step": 682 + }, + { + "epoch": 0.92, + "learning_rate": 4.061161122678566e-06, + "loss": 0.5555, + "step": 683 + }, + { + "epoch": 0.92, + "learning_rate": 4.058318165797794e-06, + "loss": 0.5126, + "step": 684 + }, + { + "epoch": 0.92, + "learning_rate": 4.055471909398904e-06, + "loss": 0.5603, + "step": 685 + }, + { + "epoch": 0.92, + "learning_rate": 4.052622359508441e-06, + "loss": 0.5314, + "step": 686 + }, + { + "epoch": 0.93, + "learning_rate": 4.049769522159923e-06, + "loss": 0.5451, + "step": 687 + }, + { + "epoch": 0.93, + "learning_rate": 4.04691340339383e-06, + "loss": 0.5341, + "step": 688 + }, + { + "epoch": 0.93, + "learning_rate": 4.044054009257588e-06, + "loss": 0.5765, + "step": 689 + }, + { + "epoch": 0.93, + "learning_rate": 4.04119134580556e-06, + "loss": 0.4899, + "step": 690 + }, + { + "epoch": 0.93, + "learning_rate": 4.038325419099032e-06, + "loss": 0.5901, + "step": 691 + }, + { + "epoch": 0.93, + "learning_rate": 4.035456235206195e-06, + "loss": 0.4371, + "step": 692 + }, + { + "epoch": 0.93, + "learning_rate": 4.0325838002021425e-06, + "loss": 0.5538, + "step": 693 + }, + { + "epoch": 0.94, + "learning_rate": 4.029708120168847e-06, + "loss": 0.5521, + "step": 694 + }, + { + "epoch": 0.94, + "learning_rate": 4.026829201195155e-06, + "loss": 0.502, + "step": 695 + }, + { + "epoch": 0.94, + "learning_rate": 4.02394704937677e-06, + "loss": 0.5453, + "step": 696 + }, + { + "epoch": 0.94, + "learning_rate": 4.0210616708162395e-06, + "loss": 0.5061, + "step": 697 + }, + { + "epoch": 0.94, + "learning_rate": 4.018173071622946e-06, + "loss": 0.5343, + "step": 698 + }, + { + "epoch": 0.94, + "learning_rate": 4.0152812579130875e-06, + "loss": 0.5113, + "step": 699 + }, + { + "epoch": 0.94, + "learning_rate": 4.012386235809671e-06, + "loss": 0.472, + "step": 700 + }, + { + "epoch": 0.94, + "learning_rate": 4.009488011442495e-06, + "loss": 0.4411, + "step": 701 + }, + { + "epoch": 0.95, + "learning_rate": 4.006586590948141e-06, + "loss": 0.54, + "step": 702 + }, + { + "epoch": 0.95, + "learning_rate": 4.003681980469956e-06, + "loss": 0.4894, + "step": 703 + }, + { + "epoch": 0.95, + "learning_rate": 4.0007741861580395e-06, + "loss": 0.495, + "step": 704 + }, + { + "epoch": 0.95, + "learning_rate": 3.9978632141692355e-06, + "loss": 0.4665, + "step": 705 + }, + { + "epoch": 0.95, + "learning_rate": 3.994949070667116e-06, + "loss": 0.5458, + "step": 706 + }, + { + "epoch": 0.95, + "learning_rate": 3.992031761821967e-06, + "loss": 0.4883, + "step": 707 + }, + { + "epoch": 0.95, + "learning_rate": 3.9891112938107755e-06, + "loss": 0.5272, + "step": 708 + }, + { + "epoch": 0.96, + "learning_rate": 3.98618767281722e-06, + "loss": 0.5475, + "step": 709 + }, + { + "epoch": 0.96, + "learning_rate": 3.983260905031656e-06, + "loss": 0.5598, + "step": 710 + }, + { + "epoch": 0.96, + "learning_rate": 3.980330996651097e-06, + "loss": 0.5533, + "step": 711 + }, + { + "epoch": 0.96, + "learning_rate": 3.977397953879211e-06, + "loss": 0.4704, + "step": 712 + }, + { + "epoch": 0.96, + "learning_rate": 3.974461782926299e-06, + "loss": 0.513, + "step": 713 + }, + { + "epoch": 0.96, + "learning_rate": 3.9715224900092895e-06, + "loss": 0.5386, + "step": 714 + }, + { + "epoch": 0.96, + "learning_rate": 3.968580081351718e-06, + "loss": 0.4684, + "step": 715 + }, + { + "epoch": 0.96, + "learning_rate": 3.96563456318372e-06, + "loss": 0.5623, + "step": 716 + }, + { + "epoch": 0.97, + "learning_rate": 3.96268594174201e-06, + "loss": 0.4761, + "step": 717 + }, + { + "epoch": 0.97, + "learning_rate": 3.959734223269879e-06, + "loss": 0.5068, + "step": 718 + }, + { + "epoch": 0.97, + "learning_rate": 3.956779414017173e-06, + "loss": 0.4606, + "step": 719 + }, + { + "epoch": 0.97, + "learning_rate": 3.953821520240281e-06, + "loss": 0.437, + "step": 720 + }, + { + "epoch": 0.97, + "learning_rate": 3.950860548202125e-06, + "loss": 0.5357, + "step": 721 + }, + { + "epoch": 0.97, + "learning_rate": 3.947896504172144e-06, + "loss": 0.5151, + "step": 722 + }, + { + "epoch": 0.97, + "learning_rate": 3.944929394426283e-06, + "loss": 0.4744, + "step": 723 + }, + { + "epoch": 0.98, + "learning_rate": 3.941959225246975e-06, + "loss": 0.4975, + "step": 724 + }, + { + "epoch": 0.98, + "learning_rate": 3.938986002923133e-06, + "loss": 0.4644, + "step": 725 + }, + { + "epoch": 0.98, + "learning_rate": 3.9360097337501355e-06, + "loss": 0.5044, + "step": 726 + }, + { + "epoch": 0.98, + "learning_rate": 3.93303042402981e-06, + "loss": 0.5773, + "step": 727 + }, + { + "epoch": 0.98, + "learning_rate": 3.930048080070424e-06, + "loss": 0.5591, + "step": 728 + }, + { + "epoch": 0.98, + "learning_rate": 3.927062708186667e-06, + "loss": 0.471, + "step": 729 + }, + { + "epoch": 0.98, + "learning_rate": 3.924074314699643e-06, + "loss": 0.4669, + "step": 730 + }, + { + "epoch": 0.99, + "learning_rate": 3.921082905936852e-06, + "loss": 0.5756, + "step": 731 + }, + { + "epoch": 0.99, + "learning_rate": 3.918088488232178e-06, + "loss": 0.4963, + "step": 732 + }, + { + "epoch": 0.99, + "learning_rate": 3.915091067925878e-06, + "loss": 0.5545, + "step": 733 + }, + { + "epoch": 0.99, + "learning_rate": 3.912090651364563e-06, + "loss": 0.5855, + "step": 734 + }, + { + "epoch": 0.99, + "learning_rate": 3.909087244901192e-06, + "loss": 0.4998, + "step": 735 + }, + { + "epoch": 0.99, + "learning_rate": 3.906080854895051e-06, + "loss": 0.4788, + "step": 736 + }, + { + "epoch": 0.99, + "learning_rate": 3.903071487711748e-06, + "loss": 0.4316, + "step": 737 + }, + { + "epoch": 0.99, + "learning_rate": 3.90005914972319e-06, + "loss": 0.4865, + "step": 738 + }, + { + "epoch": 1.0, + "learning_rate": 3.897043847307578e-06, + "loss": 0.5425, + "step": 739 + }, + { + "epoch": 1.0, + "learning_rate": 3.894025586849386e-06, + "loss": 0.4511, + "step": 740 + }, + { + "epoch": 1.0, + "learning_rate": 3.891004374739354e-06, + "loss": 0.4712, + "step": 741 + }, + { + "epoch": 1.0, + "learning_rate": 3.887980217374472e-06, + "loss": 0.603, + "step": 742 + }, + { + "epoch": 1.0, + "learning_rate": 3.884953121157964e-06, + "loss": 0.4998, + "step": 743 + }, + { + "epoch": 1.0, + "learning_rate": 3.881923092499278e-06, + "loss": 0.4928, + "step": 744 + }, + { + "epoch": 1.0, + "learning_rate": 3.87889013781407e-06, + "loss": 0.4413, + "step": 745 + }, + { + "epoch": 1.01, + "learning_rate": 3.875854263524193e-06, + "loss": 0.4966, + "step": 746 + }, + { + "epoch": 1.01, + "learning_rate": 3.872815476057682e-06, + "loss": 0.5753, + "step": 747 + }, + { + "epoch": 1.01, + "learning_rate": 3.869773781848737e-06, + "loss": 0.5217, + "step": 748 + }, + { + "epoch": 1.01, + "learning_rate": 3.866729187337717e-06, + "loss": 0.5191, + "step": 749 + }, + { + "epoch": 1.01, + "learning_rate": 3.8636816989711185e-06, + "loss": 0.5053, + "step": 750 + }, + { + "epoch": 1.01, + "learning_rate": 3.860631323201568e-06, + "loss": 0.4619, + "step": 751 + }, + { + "epoch": 1.01, + "learning_rate": 3.857578066487803e-06, + "loss": 0.503, + "step": 752 + }, + { + "epoch": 1.01, + "learning_rate": 3.854521935294663e-06, + "loss": 0.4818, + "step": 753 + }, + { + "epoch": 1.02, + "learning_rate": 3.8514629360930725e-06, + "loss": 0.4546, + "step": 754 + }, + { + "epoch": 1.02, + "learning_rate": 3.8484010753600306e-06, + "loss": 0.5969, + "step": 755 + }, + { + "epoch": 1.02, + "learning_rate": 3.8453363595785935e-06, + "loss": 0.4704, + "step": 756 + }, + { + "epoch": 1.02, + "learning_rate": 3.842268795237863e-06, + "loss": 0.4648, + "step": 757 + }, + { + "epoch": 1.02, + "learning_rate": 3.839198388832972e-06, + "loss": 0.4715, + "step": 758 + }, + { + "epoch": 1.02, + "learning_rate": 3.8361251468650705e-06, + "loss": 0.5271, + "step": 759 + }, + { + "epoch": 1.02, + "learning_rate": 3.833049075841316e-06, + "loss": 0.4372, + "step": 760 + }, + { + "epoch": 1.03, + "learning_rate": 3.8299701822748506e-06, + "loss": 0.4547, + "step": 761 + }, + { + "epoch": 1.03, + "learning_rate": 3.826888472684798e-06, + "loss": 0.4752, + "step": 762 + }, + { + "epoch": 1.03, + "learning_rate": 3.823803953596239e-06, + "loss": 0.4841, + "step": 763 + }, + { + "epoch": 1.03, + "learning_rate": 3.820716631540209e-06, + "loss": 0.4473, + "step": 764 + }, + { + "epoch": 1.03, + "learning_rate": 3.817626513053674e-06, + "loss": 0.5383, + "step": 765 + }, + { + "epoch": 1.03, + "learning_rate": 3.8145336046795233e-06, + "loss": 0.4638, + "step": 766 + }, + { + "epoch": 1.03, + "learning_rate": 3.8114379129665526e-06, + "loss": 0.4462, + "step": 767 + }, + { + "epoch": 1.04, + "learning_rate": 3.8083394444694493e-06, + "loss": 0.4681, + "step": 768 + }, + { + "epoch": 1.04, + "learning_rate": 3.8052382057487826e-06, + "loss": 0.4197, + "step": 769 + }, + { + "epoch": 1.04, + "learning_rate": 3.8021342033709874e-06, + "loss": 0.4545, + "step": 770 + }, + { + "epoch": 1.04, + "learning_rate": 3.7990274439083485e-06, + "loss": 0.5121, + "step": 771 + }, + { + "epoch": 1.04, + "learning_rate": 3.795917933938989e-06, + "loss": 0.5121, + "step": 772 + }, + { + "epoch": 1.04, + "learning_rate": 3.792805680046856e-06, + "loss": 0.4319, + "step": 773 + }, + { + "epoch": 1.04, + "learning_rate": 3.789690688821708e-06, + "loss": 0.4989, + "step": 774 + }, + { + "epoch": 1.04, + "learning_rate": 3.7865729668590967e-06, + "loss": 0.467, + "step": 775 + }, + { + "epoch": 1.05, + "learning_rate": 3.7834525207603573e-06, + "loss": 0.4139, + "step": 776 + }, + { + "epoch": 1.05, + "learning_rate": 3.780329357132592e-06, + "loss": 0.4453, + "step": 777 + }, + { + "epoch": 1.05, + "learning_rate": 3.777203482588659e-06, + "loss": 0.3997, + "step": 778 + }, + { + "epoch": 1.05, + "learning_rate": 3.7740749037471548e-06, + "loss": 0.4441, + "step": 779 + }, + { + "epoch": 1.05, + "learning_rate": 3.7709436272324006e-06, + "loss": 0.4382, + "step": 780 + }, + { + "epoch": 1.05, + "learning_rate": 3.7678096596744328e-06, + "loss": 0.536, + "step": 781 + }, + { + "epoch": 1.05, + "learning_rate": 3.7646730077089845e-06, + "loss": 0.4248, + "step": 782 + }, + { + "epoch": 1.06, + "learning_rate": 3.76153367797747e-06, + "loss": 0.5552, + "step": 783 + }, + { + "epoch": 1.06, + "learning_rate": 3.7583916771269784e-06, + "loss": 0.4176, + "step": 784 + }, + { + "epoch": 1.06, + "learning_rate": 3.7552470118102493e-06, + "loss": 0.4387, + "step": 785 + }, + { + "epoch": 1.06, + "learning_rate": 3.7520996886856674e-06, + "loss": 0.4453, + "step": 786 + }, + { + "epoch": 1.06, + "learning_rate": 3.748949714417245e-06, + "loss": 0.4903, + "step": 787 + }, + { + "epoch": 1.06, + "learning_rate": 3.745797095674604e-06, + "loss": 0.3974, + "step": 788 + }, + { + "epoch": 1.06, + "learning_rate": 3.7426418391329704e-06, + "loss": 0.4955, + "step": 789 + }, + { + "epoch": 1.06, + "learning_rate": 3.739483951473153e-06, + "loss": 0.4009, + "step": 790 + }, + { + "epoch": 1.07, + "learning_rate": 3.7363234393815313e-06, + "loss": 0.4433, + "step": 791 + }, + { + "epoch": 1.07, + "learning_rate": 3.733160309550042e-06, + "loss": 0.3972, + "step": 792 + }, + { + "epoch": 1.07, + "learning_rate": 3.7299945686761657e-06, + "loss": 0.4135, + "step": 793 + }, + { + "epoch": 1.07, + "learning_rate": 3.7268262234629094e-06, + "loss": 0.3777, + "step": 794 + }, + { + "epoch": 1.07, + "learning_rate": 3.723655280618797e-06, + "loss": 0.4034, + "step": 795 + }, + { + "epoch": 1.07, + "learning_rate": 3.7204817468578503e-06, + "loss": 0.3701, + "step": 796 + }, + { + "epoch": 1.07, + "learning_rate": 3.7173056288995774e-06, + "loss": 0.3354, + "step": 797 + }, + { + "epoch": 1.08, + "learning_rate": 3.7141269334689593e-06, + "loss": 0.3903, + "step": 798 + }, + { + "epoch": 1.08, + "learning_rate": 3.7109456672964332e-06, + "loss": 0.4464, + "step": 799 + }, + { + "epoch": 1.08, + "learning_rate": 3.70776183711788e-06, + "loss": 0.3638, + "step": 800 + }, + { + "epoch": 1.08, + "learning_rate": 3.704575449674609e-06, + "loss": 0.4045, + "step": 801 + }, + { + "epoch": 1.08, + "learning_rate": 3.7013865117133446e-06, + "loss": 0.4445, + "step": 802 + }, + { + "epoch": 1.08, + "learning_rate": 3.6981950299862124e-06, + "loss": 0.3799, + "step": 803 + }, + { + "epoch": 1.08, + "learning_rate": 3.695001011250722e-06, + "loss": 0.4623, + "step": 804 + }, + { + "epoch": 1.08, + "learning_rate": 3.691804462269756e-06, + "loss": 0.4263, + "step": 805 + }, + { + "epoch": 1.09, + "learning_rate": 3.6886053898115555e-06, + "loss": 0.414, + "step": 806 + }, + { + "epoch": 1.09, + "learning_rate": 3.6854038006497028e-06, + "loss": 0.3713, + "step": 807 + }, + { + "epoch": 1.09, + "learning_rate": 3.6821997015631094e-06, + "loss": 0.4204, + "step": 808 + }, + { + "epoch": 1.09, + "learning_rate": 3.6789930993360018e-06, + "loss": 0.4487, + "step": 809 + }, + { + "epoch": 1.09, + "learning_rate": 3.6757840007579065e-06, + "loss": 0.4154, + "step": 810 + }, + { + "epoch": 1.09, + "learning_rate": 3.6725724126236357e-06, + "loss": 0.4268, + "step": 811 + }, + { + "epoch": 1.09, + "learning_rate": 3.6693583417332717e-06, + "loss": 0.4104, + "step": 812 + }, + { + "epoch": 1.1, + "learning_rate": 3.666141794892155e-06, + "loss": 0.425, + "step": 813 + }, + { + "epoch": 1.1, + "learning_rate": 3.662922778910869e-06, + "loss": 0.4182, + "step": 814 + }, + { + "epoch": 1.1, + "learning_rate": 3.659701300605224e-06, + "loss": 0.4188, + "step": 815 + }, + { + "epoch": 1.1, + "learning_rate": 3.6564773667962435e-06, + "loss": 0.3846, + "step": 816 + }, + { + "epoch": 1.1, + "learning_rate": 3.653250984310151e-06, + "loss": 0.4325, + "step": 817 + }, + { + "epoch": 1.1, + "learning_rate": 3.650022159978356e-06, + "loss": 0.4135, + "step": 818 + }, + { + "epoch": 1.1, + "learning_rate": 3.646790900637436e-06, + "loss": 0.3912, + "step": 819 + }, + { + "epoch": 1.11, + "learning_rate": 3.6435572131291245e-06, + "loss": 0.416, + "step": 820 + }, + { + "epoch": 1.11, + "learning_rate": 3.6403211043002986e-06, + "loss": 0.3823, + "step": 821 + }, + { + "epoch": 1.11, + "learning_rate": 3.6370825810029596e-06, + "loss": 0.3379, + "step": 822 + }, + { + "epoch": 1.11, + "learning_rate": 3.633841650094223e-06, + "loss": 0.3583, + "step": 823 + }, + { + "epoch": 1.11, + "learning_rate": 3.6305983184363004e-06, + "loss": 0.4235, + "step": 824 + }, + { + "epoch": 1.11, + "learning_rate": 3.627352592896487e-06, + "loss": 0.4098, + "step": 825 + }, + { + "epoch": 1.11, + "learning_rate": 3.6241044803471483e-06, + "loss": 0.4204, + "step": 826 + }, + { + "epoch": 1.11, + "learning_rate": 3.6208539876657022e-06, + "loss": 0.402, + "step": 827 + }, + { + "epoch": 1.12, + "learning_rate": 3.6176011217346067e-06, + "loss": 0.3911, + "step": 828 + }, + { + "epoch": 1.12, + "learning_rate": 3.6143458894413463e-06, + "loss": 0.4182, + "step": 829 + }, + { + "epoch": 1.12, + "learning_rate": 3.6110882976784122e-06, + "loss": 0.4267, + "step": 830 + }, + { + "epoch": 1.12, + "learning_rate": 3.6078283533432955e-06, + "loss": 0.4102, + "step": 831 + }, + { + "epoch": 1.12, + "learning_rate": 3.604566063338467e-06, + "loss": 0.436, + "step": 832 + }, + { + "epoch": 1.12, + "learning_rate": 3.6013014345713627e-06, + "loss": 0.4105, + "step": 833 + }, + { + "epoch": 1.12, + "learning_rate": 3.5980344739543733e-06, + "loss": 0.3958, + "step": 834 + }, + { + "epoch": 1.13, + "learning_rate": 3.594765188404824e-06, + "loss": 0.4052, + "step": 835 + }, + { + "epoch": 1.13, + "learning_rate": 3.5914935848449656e-06, + "loss": 0.4012, + "step": 836 + }, + { + "epoch": 1.13, + "learning_rate": 3.588219670201954e-06, + "loss": 0.3986, + "step": 837 + }, + { + "epoch": 1.13, + "learning_rate": 3.584943451407841e-06, + "loss": 0.3805, + "step": 838 + }, + { + "epoch": 1.13, + "learning_rate": 3.581664935399556e-06, + "loss": 0.3848, + "step": 839 + }, + { + "epoch": 1.13, + "learning_rate": 3.5783841291188923e-06, + "loss": 0.3709, + "step": 840 + }, + { + "epoch": 1.13, + "learning_rate": 3.5751010395124926e-06, + "loss": 0.3399, + "step": 841 + }, + { + "epoch": 1.13, + "learning_rate": 3.571815673531835e-06, + "loss": 0.4081, + "step": 842 + }, + { + "epoch": 1.14, + "learning_rate": 3.5685280381332168e-06, + "loss": 0.407, + "step": 843 + }, + { + "epoch": 1.14, + "learning_rate": 3.565238140277739e-06, + "loss": 0.3964, + "step": 844 + }, + { + "epoch": 1.14, + "learning_rate": 3.5619459869312965e-06, + "loss": 0.3937, + "step": 845 + }, + { + "epoch": 1.14, + "learning_rate": 3.5586515850645582e-06, + "loss": 0.4349, + "step": 846 + }, + { + "epoch": 1.14, + "learning_rate": 3.555354941652952e-06, + "loss": 0.4278, + "step": 847 + }, + { + "epoch": 1.14, + "learning_rate": 3.552056063676655e-06, + "loss": 0.4247, + "step": 848 + }, + { + "epoch": 1.14, + "learning_rate": 3.5487549581205727e-06, + "loss": 0.3806, + "step": 849 + }, + { + "epoch": 1.15, + "learning_rate": 3.5454516319743303e-06, + "loss": 0.418, + "step": 850 + }, + { + "epoch": 1.15, + "learning_rate": 3.5421460922322537e-06, + "loss": 0.4092, + "step": 851 + }, + { + "epoch": 1.15, + "learning_rate": 3.5388383458933538e-06, + "loss": 0.3935, + "step": 852 + }, + { + "epoch": 1.15, + "learning_rate": 3.535528399961316e-06, + "loss": 0.4339, + "step": 853 + }, + { + "epoch": 1.15, + "learning_rate": 3.532216261444483e-06, + "loss": 0.4388, + "step": 854 + }, + { + "epoch": 1.15, + "learning_rate": 3.5289019373558376e-06, + "loss": 0.3174, + "step": 855 + }, + { + "epoch": 1.15, + "learning_rate": 3.525585434712993e-06, + "loss": 0.3684, + "step": 856 + }, + { + "epoch": 1.15, + "learning_rate": 3.5222667605381732e-06, + "loss": 0.4296, + "step": 857 + }, + { + "epoch": 1.16, + "learning_rate": 3.5189459218582027e-06, + "loss": 0.4424, + "step": 858 + }, + { + "epoch": 1.16, + "learning_rate": 3.5156229257044857e-06, + "loss": 0.4011, + "step": 859 + }, + { + "epoch": 1.16, + "learning_rate": 3.5122977791129962e-06, + "loss": 0.4191, + "step": 860 + }, + { + "epoch": 1.16, + "learning_rate": 3.508970489124262e-06, + "loss": 0.3932, + "step": 861 + }, + { + "epoch": 1.16, + "learning_rate": 3.505641062783349e-06, + "loss": 0.3653, + "step": 862 + }, + { + "epoch": 1.16, + "learning_rate": 3.502309507139845e-06, + "loss": 0.4049, + "step": 863 + }, + { + "epoch": 1.16, + "learning_rate": 3.4989758292478484e-06, + "loss": 0.4254, + "step": 864 + }, + { + "epoch": 1.17, + "learning_rate": 3.4956400361659494e-06, + "loss": 0.4182, + "step": 865 + }, + { + "epoch": 1.17, + "learning_rate": 3.4923021349572183e-06, + "loss": 0.3768, + "step": 866 + }, + { + "epoch": 1.17, + "learning_rate": 3.488962132689188e-06, + "loss": 0.3987, + "step": 867 + }, + { + "epoch": 1.17, + "learning_rate": 3.485620036433841e-06, + "loss": 0.3644, + "step": 868 + }, + { + "epoch": 1.17, + "learning_rate": 3.4822758532675926e-06, + "loss": 0.4168, + "step": 869 + }, + { + "epoch": 1.17, + "learning_rate": 3.4789295902712774e-06, + "loss": 0.3768, + "step": 870 + }, + { + "epoch": 1.17, + "learning_rate": 3.4755812545301336e-06, + "loss": 0.4152, + "step": 871 + }, + { + "epoch": 1.18, + "learning_rate": 3.4722308531337884e-06, + "loss": 0.3689, + "step": 872 + }, + { + "epoch": 1.18, + "learning_rate": 3.4688783931762415e-06, + "loss": 0.4055, + "step": 873 + }, + { + "epoch": 1.18, + "learning_rate": 3.465523881755853e-06, + "loss": 0.3715, + "step": 874 + }, + { + "epoch": 1.18, + "learning_rate": 3.4621673259753263e-06, + "loss": 0.3467, + "step": 875 + }, + { + "epoch": 1.18, + "learning_rate": 3.4588087329416924e-06, + "loss": 0.3866, + "step": 876 + }, + { + "epoch": 1.18, + "learning_rate": 3.4554481097662962e-06, + "loss": 0.4011, + "step": 877 + }, + { + "epoch": 1.18, + "learning_rate": 3.452085463564783e-06, + "loss": 0.439, + "step": 878 + }, + { + "epoch": 1.18, + "learning_rate": 3.4487208014570794e-06, + "loss": 0.4307, + "step": 879 + }, + { + "epoch": 1.19, + "learning_rate": 3.4453541305673815e-06, + "loss": 0.3748, + "step": 880 + }, + { + "epoch": 1.19, + "learning_rate": 3.441985458024137e-06, + "loss": 0.3609, + "step": 881 + }, + { + "epoch": 1.19, + "learning_rate": 3.4386147909600344e-06, + "loss": 0.4899, + "step": 882 + }, + { + "epoch": 1.19, + "learning_rate": 3.4352421365119837e-06, + "loss": 0.3872, + "step": 883 + }, + { + "epoch": 1.19, + "learning_rate": 3.431867501821103e-06, + "loss": 0.3813, + "step": 884 + }, + { + "epoch": 1.19, + "learning_rate": 3.428490894032703e-06, + "loss": 0.3465, + "step": 885 + }, + { + "epoch": 1.19, + "learning_rate": 3.425112320296274e-06, + "loss": 0.398, + "step": 886 + }, + { + "epoch": 1.2, + "learning_rate": 3.4217317877654675e-06, + "loss": 0.3709, + "step": 887 + }, + { + "epoch": 1.2, + "learning_rate": 3.4183493035980825e-06, + "loss": 0.4364, + "step": 888 + }, + { + "epoch": 1.2, + "learning_rate": 3.414964874956049e-06, + "loss": 0.3903, + "step": 889 + }, + { + "epoch": 1.2, + "learning_rate": 3.411578509005417e-06, + "loss": 0.4077, + "step": 890 + }, + { + "epoch": 1.2, + "learning_rate": 3.408190212916337e-06, + "loss": 0.3901, + "step": 891 + }, + { + "epoch": 1.2, + "learning_rate": 3.404799993863045e-06, + "loss": 0.3278, + "step": 892 + }, + { + "epoch": 1.2, + "learning_rate": 3.4014078590238507e-06, + "loss": 0.4237, + "step": 893 + }, + { + "epoch": 1.2, + "learning_rate": 3.3980138155811202e-06, + "loss": 0.4693, + "step": 894 + }, + { + "epoch": 1.21, + "learning_rate": 3.3946178707212595e-06, + "loss": 0.4773, + "step": 895 + }, + { + "epoch": 1.21, + "learning_rate": 3.391220031634701e-06, + "loss": 0.3988, + "step": 896 + }, + { + "epoch": 1.21, + "learning_rate": 3.3878203055158874e-06, + "loss": 0.3852, + "step": 897 + }, + { + "epoch": 1.21, + "learning_rate": 3.384418699563259e-06, + "loss": 0.3935, + "step": 898 + }, + { + "epoch": 1.21, + "learning_rate": 3.3810152209792324e-06, + "loss": 0.4663, + "step": 899 + }, + { + "epoch": 1.21, + "learning_rate": 3.3776098769701944e-06, + "loss": 0.4223, + "step": 900 + }, + { + "epoch": 1.21, + "learning_rate": 3.3742026747464774e-06, + "loss": 0.4439, + "step": 901 + }, + { + "epoch": 1.22, + "learning_rate": 3.3707936215223496e-06, + "loss": 0.4533, + "step": 902 + }, + { + "epoch": 1.22, + "learning_rate": 3.3673827245159995e-06, + "loss": 0.4089, + "step": 903 + }, + { + "epoch": 1.22, + "learning_rate": 3.363969990949518e-06, + "loss": 0.363, + "step": 904 + }, + { + "epoch": 1.22, + "learning_rate": 3.3605554280488862e-06, + "loss": 0.3493, + "step": 905 + }, + { + "epoch": 1.22, + "learning_rate": 3.3571390430439566e-06, + "loss": 0.3911, + "step": 906 + }, + { + "epoch": 1.22, + "learning_rate": 3.353720843168441e-06, + "loss": 0.411, + "step": 907 + }, + { + "epoch": 1.22, + "learning_rate": 3.3503008356598942e-06, + "loss": 0.3866, + "step": 908 + }, + { + "epoch": 1.23, + "learning_rate": 3.3468790277596974e-06, + "loss": 0.3243, + "step": 909 + }, + { + "epoch": 1.23, + "learning_rate": 3.343455426713045e-06, + "loss": 0.499, + "step": 910 + }, + { + "epoch": 1.23, + "learning_rate": 3.3400300397689276e-06, + "loss": 0.4441, + "step": 911 + }, + { + "epoch": 1.23, + "learning_rate": 3.336602874180117e-06, + "loss": 0.4469, + "step": 912 + }, + { + "epoch": 1.23, + "learning_rate": 3.33317393720315e-06, + "loss": 0.4159, + "step": 913 + }, + { + "epoch": 1.23, + "learning_rate": 3.3297432360983174e-06, + "loss": 0.3918, + "step": 914 + }, + { + "epoch": 1.23, + "learning_rate": 3.3263107781296424e-06, + "loss": 0.456, + "step": 915 + }, + { + "epoch": 1.23, + "learning_rate": 3.3228765705648675e-06, + "loss": 0.404, + "step": 916 + }, + { + "epoch": 1.24, + "learning_rate": 3.319440620675442e-06, + "loss": 0.3319, + "step": 917 + }, + { + "epoch": 1.24, + "learning_rate": 3.3160029357365043e-06, + "loss": 0.3963, + "step": 918 + }, + { + "epoch": 1.24, + "learning_rate": 3.3125635230268643e-06, + "loss": 0.3832, + "step": 919 + }, + { + "epoch": 1.24, + "learning_rate": 3.309122389828992e-06, + "loss": 0.3919, + "step": 920 + }, + { + "epoch": 1.24, + "learning_rate": 3.3056795434289997e-06, + "loss": 0.3684, + "step": 921 + }, + { + "epoch": 1.24, + "learning_rate": 3.3022349911166274e-06, + "loss": 0.4114, + "step": 922 + }, + { + "epoch": 1.24, + "learning_rate": 3.298788740185227e-06, + "loss": 0.3874, + "step": 923 + }, + { + "epoch": 1.25, + "learning_rate": 3.2953407979317474e-06, + "loss": 0.3541, + "step": 924 + }, + { + "epoch": 1.25, + "learning_rate": 3.291891171656717e-06, + "loss": 0.4106, + "step": 925 + }, + { + "epoch": 1.25, + "learning_rate": 3.2884398686642326e-06, + "loss": 0.4754, + "step": 926 + }, + { + "epoch": 1.25, + "learning_rate": 3.2849868962619392e-06, + "loss": 0.4365, + "step": 927 + }, + { + "epoch": 1.25, + "learning_rate": 3.281532261761016e-06, + "loss": 0.3648, + "step": 928 + }, + { + "epoch": 1.25, + "learning_rate": 3.2780759724761635e-06, + "loss": 0.4344, + "step": 929 + }, + { + "epoch": 1.25, + "learning_rate": 3.274618035725585e-06, + "loss": 0.4936, + "step": 930 + }, + { + "epoch": 1.25, + "learning_rate": 3.271158458830973e-06, + "loss": 0.3744, + "step": 931 + }, + { + "epoch": 1.26, + "learning_rate": 3.2676972491174895e-06, + "loss": 0.3979, + "step": 932 + }, + { + "epoch": 1.26, + "learning_rate": 3.2642344139137578e-06, + "loss": 0.3436, + "step": 933 + }, + { + "epoch": 1.26, + "learning_rate": 3.2607699605518408e-06, + "loss": 0.4244, + "step": 934 + }, + { + "epoch": 1.26, + "learning_rate": 3.2573038963672276e-06, + "loss": 0.4269, + "step": 935 + }, + { + "epoch": 1.26, + "learning_rate": 3.2538362286988193e-06, + "loss": 0.4259, + "step": 936 + }, + { + "epoch": 1.26, + "learning_rate": 3.2503669648889114e-06, + "loss": 0.45, + "step": 937 + }, + { + "epoch": 1.26, + "learning_rate": 3.2468961122831776e-06, + "loss": 0.4119, + "step": 938 + }, + { + "epoch": 1.27, + "learning_rate": 3.2434236782306584e-06, + "loss": 0.394, + "step": 939 + }, + { + "epoch": 1.27, + "learning_rate": 3.2399496700837407e-06, + "loss": 0.3718, + "step": 940 + }, + { + "epoch": 1.27, + "learning_rate": 3.236474095198144e-06, + "loss": 0.3788, + "step": 941 + }, + { + "epoch": 1.27, + "learning_rate": 3.2329969609329083e-06, + "loss": 0.4235, + "step": 942 + }, + { + "epoch": 1.27, + "learning_rate": 3.229518274650371e-06, + "loss": 0.4401, + "step": 943 + }, + { + "epoch": 1.27, + "learning_rate": 3.2260380437161597e-06, + "loss": 0.3919, + "step": 944 + }, + { + "epoch": 1.27, + "learning_rate": 3.222556275499169e-06, + "loss": 0.3888, + "step": 945 + }, + { + "epoch": 1.27, + "learning_rate": 3.2190729773715518e-06, + "loss": 0.4534, + "step": 946 + }, + { + "epoch": 1.28, + "learning_rate": 3.2155881567086976e-06, + "loss": 0.376, + "step": 947 + }, + { + "epoch": 1.28, + "learning_rate": 3.212101820889222e-06, + "loss": 0.4602, + "step": 948 + }, + { + "epoch": 1.28, + "learning_rate": 3.208613977294945e-06, + "loss": 0.4367, + "step": 949 + }, + { + "epoch": 1.28, + "learning_rate": 3.2051246333108856e-06, + "loss": 0.3934, + "step": 950 + }, + { + "epoch": 1.28, + "learning_rate": 3.201633796325233e-06, + "loss": 0.4122, + "step": 951 + }, + { + "epoch": 1.28, + "learning_rate": 3.198141473729341e-06, + "loss": 0.4317, + "step": 952 + }, + { + "epoch": 1.28, + "learning_rate": 3.1946476729177077e-06, + "loss": 0.4058, + "step": 953 + }, + { + "epoch": 1.29, + "learning_rate": 3.1911524012879637e-06, + "loss": 0.4371, + "step": 954 + }, + { + "epoch": 1.29, + "learning_rate": 3.187655666240849e-06, + "loss": 0.4447, + "step": 955 + }, + { + "epoch": 1.29, + "learning_rate": 3.184157475180208e-06, + "loss": 0.4101, + "step": 956 + }, + { + "epoch": 1.29, + "learning_rate": 3.1806578355129627e-06, + "loss": 0.4483, + "step": 957 + }, + { + "epoch": 1.29, + "learning_rate": 3.1771567546491054e-06, + "loss": 0.4193, + "step": 958 + }, + { + "epoch": 1.29, + "learning_rate": 3.17365424000168e-06, + "loss": 0.3753, + "step": 959 + }, + { + "epoch": 1.29, + "learning_rate": 3.1701502989867655e-06, + "loss": 0.3974, + "step": 960 + }, + { + "epoch": 1.3, + "learning_rate": 3.166644939023459e-06, + "loss": 0.4374, + "step": 961 + }, + { + "epoch": 1.3, + "learning_rate": 3.163138167533866e-06, + "loss": 0.4031, + "step": 962 + }, + { + "epoch": 1.3, + "learning_rate": 3.1596299919430783e-06, + "loss": 0.3672, + "step": 963 + }, + { + "epoch": 1.3, + "learning_rate": 3.156120419679161e-06, + "loss": 0.4182, + "step": 964 + }, + { + "epoch": 1.3, + "learning_rate": 3.152609458173136e-06, + "loss": 0.4499, + "step": 965 + }, + { + "epoch": 1.3, + "learning_rate": 3.1490971148589676e-06, + "loss": 0.3923, + "step": 966 + }, + { + "epoch": 1.3, + "learning_rate": 3.1455833971735463e-06, + "loss": 0.4879, + "step": 967 + }, + { + "epoch": 1.3, + "learning_rate": 3.1420683125566703e-06, + "loss": 0.4144, + "step": 968 + }, + { + "epoch": 1.31, + "learning_rate": 3.138551868451035e-06, + "loss": 0.3619, + "step": 969 + }, + { + "epoch": 1.31, + "learning_rate": 3.1350340723022133e-06, + "loss": 0.4176, + "step": 970 + }, + { + "epoch": 1.31, + "learning_rate": 3.1315149315586386e-06, + "loss": 0.4323, + "step": 971 + }, + { + "epoch": 1.31, + "learning_rate": 3.127994453671595e-06, + "loss": 0.4299, + "step": 972 + }, + { + "epoch": 1.31, + "learning_rate": 3.124472646095196e-06, + "loss": 0.4096, + "step": 973 + }, + { + "epoch": 1.31, + "learning_rate": 3.1209495162863697e-06, + "loss": 0.4267, + "step": 974 + }, + { + "epoch": 1.31, + "learning_rate": 3.1174250717048453e-06, + "loss": 0.3962, + "step": 975 + }, + { + "epoch": 1.32, + "learning_rate": 3.1138993198131357e-06, + "loss": 0.3731, + "step": 976 + }, + { + "epoch": 1.32, + "learning_rate": 3.11037226807652e-06, + "loss": 0.403, + "step": 977 + }, + { + "epoch": 1.32, + "learning_rate": 3.1068439239630327e-06, + "loss": 0.359, + "step": 978 + }, + { + "epoch": 1.32, + "learning_rate": 3.1033142949434418e-06, + "loss": 0.4534, + "step": 979 + }, + { + "epoch": 1.32, + "learning_rate": 3.0997833884912374e-06, + "loss": 0.4404, + "step": 980 + }, + { + "epoch": 1.32, + "learning_rate": 3.0962512120826136e-06, + "loss": 0.4327, + "step": 981 + }, + { + "epoch": 1.32, + "learning_rate": 3.0927177731964554e-06, + "loss": 0.3879, + "step": 982 + }, + { + "epoch": 1.32, + "learning_rate": 3.089183079314318e-06, + "loss": 0.3424, + "step": 983 + }, + { + "epoch": 1.33, + "learning_rate": 3.0856471379204156e-06, + "loss": 0.4227, + "step": 984 + }, + { + "epoch": 1.33, + "learning_rate": 3.082109956501604e-06, + "loss": 0.475, + "step": 985 + }, + { + "epoch": 1.33, + "learning_rate": 3.078571542547364e-06, + "loss": 0.4696, + "step": 986 + }, + { + "epoch": 1.33, + "learning_rate": 3.0750319035497854e-06, + "loss": 0.48, + "step": 987 + }, + { + "epoch": 1.33, + "learning_rate": 3.071491047003554e-06, + "loss": 0.327, + "step": 988 + }, + { + "epoch": 1.33, + "learning_rate": 3.0679489804059313e-06, + "loss": 0.3765, + "step": 989 + }, + { + "epoch": 1.33, + "learning_rate": 3.064405711256743e-06, + "loss": 0.4014, + "step": 990 + }, + { + "epoch": 1.34, + "learning_rate": 3.060861247058359e-06, + "loss": 0.4458, + "step": 991 + }, + { + "epoch": 1.34, + "learning_rate": 3.05731559531568e-06, + "loss": 0.4585, + "step": 992 + }, + { + "epoch": 1.34, + "learning_rate": 3.053768763536123e-06, + "loss": 0.3862, + "step": 993 + }, + { + "epoch": 1.34, + "learning_rate": 3.0502207592296015e-06, + "loss": 0.431, + "step": 994 + }, + { + "epoch": 1.34, + "learning_rate": 3.046671589908512e-06, + "loss": 0.3699, + "step": 995 + }, + { + "epoch": 1.34, + "learning_rate": 3.0431212630877195e-06, + "loss": 0.3996, + "step": 996 + }, + { + "epoch": 1.34, + "learning_rate": 3.0395697862845357e-06, + "loss": 0.3751, + "step": 997 + }, + { + "epoch": 1.35, + "learning_rate": 3.0360171670187134e-06, + "loss": 0.3314, + "step": 998 + }, + { + "epoch": 1.35, + "learning_rate": 3.0324634128124185e-06, + "loss": 0.4531, + "step": 999 + }, + { + "epoch": 1.35, + "learning_rate": 3.0289085311902237e-06, + "loss": 0.3757, + "step": 1000 + }, + { + "epoch": 1.35, + "learning_rate": 3.0253525296790866e-06, + "loss": 0.439, + "step": 1001 + }, + { + "epoch": 1.35, + "learning_rate": 3.0217954158083384e-06, + "loss": 0.4312, + "step": 1002 + }, + { + "epoch": 1.35, + "learning_rate": 3.018237197109663e-06, + "loss": 0.4235, + "step": 1003 + }, + { + "epoch": 1.35, + "learning_rate": 3.0146778811170848e-06, + "loss": 0.3692, + "step": 1004 + }, + { + "epoch": 1.35, + "learning_rate": 3.011117475366952e-06, + "loss": 0.4252, + "step": 1005 + }, + { + "epoch": 1.36, + "learning_rate": 3.00755598739792e-06, + "loss": 0.4235, + "step": 1006 + }, + { + "epoch": 1.36, + "learning_rate": 3.0039934247509343e-06, + "loss": 0.386, + "step": 1007 + }, + { + "epoch": 1.36, + "learning_rate": 3.000429794969219e-06, + "loss": 0.375, + "step": 1008 + }, + { + "epoch": 1.36, + "learning_rate": 2.9968651055982534e-06, + "loss": 0.4404, + "step": 1009 + }, + { + "epoch": 1.36, + "learning_rate": 2.9932993641857637e-06, + "loss": 0.3707, + "step": 1010 + }, + { + "epoch": 1.36, + "learning_rate": 2.9897325782817034e-06, + "loss": 0.475, + "step": 1011 + }, + { + "epoch": 1.36, + "learning_rate": 2.9861647554382354e-06, + "loss": 0.4131, + "step": 1012 + }, + { + "epoch": 1.37, + "learning_rate": 2.9825959032097195e-06, + "loss": 0.4099, + "step": 1013 + }, + { + "epoch": 1.37, + "learning_rate": 2.9790260291526964e-06, + "loss": 0.3929, + "step": 1014 + }, + { + "epoch": 1.37, + "learning_rate": 2.9754551408258673e-06, + "loss": 0.4376, + "step": 1015 + }, + { + "epoch": 1.37, + "learning_rate": 2.9718832457900848e-06, + "loss": 0.4015, + "step": 1016 + }, + { + "epoch": 1.37, + "learning_rate": 2.9683103516083285e-06, + "loss": 0.4047, + "step": 1017 + }, + { + "epoch": 1.37, + "learning_rate": 2.964736465845698e-06, + "loss": 0.3839, + "step": 1018 + }, + { + "epoch": 1.37, + "learning_rate": 2.96116159606939e-06, + "loss": 0.4193, + "step": 1019 + }, + { + "epoch": 1.37, + "learning_rate": 2.9575857498486852e-06, + "loss": 0.4085, + "step": 1020 + }, + { + "epoch": 1.38, + "learning_rate": 2.9540089347549313e-06, + "loss": 0.4278, + "step": 1021 + }, + { + "epoch": 1.38, + "learning_rate": 2.950431158361528e-06, + "loss": 0.4162, + "step": 1022 + }, + { + "epoch": 1.38, + "learning_rate": 2.946852428243911e-06, + "loss": 0.4088, + "step": 1023 + }, + { + "epoch": 1.38, + "learning_rate": 2.9432727519795345e-06, + "loss": 0.3716, + "step": 1024 + }, + { + "epoch": 1.38, + "learning_rate": 2.939692137147855e-06, + "loss": 0.394, + "step": 1025 + }, + { + "epoch": 1.38, + "learning_rate": 2.9361105913303197e-06, + "loss": 0.3924, + "step": 1026 + }, + { + "epoch": 1.38, + "learning_rate": 2.932528122110343e-06, + "loss": 0.3909, + "step": 1027 + }, + { + "epoch": 1.39, + "learning_rate": 2.9289447370732976e-06, + "loss": 0.3922, + "step": 1028 + }, + { + "epoch": 1.39, + "learning_rate": 2.9253604438064924e-06, + "loss": 0.4055, + "step": 1029 + }, + { + "epoch": 1.39, + "learning_rate": 2.9217752498991636e-06, + "loss": 0.4172, + "step": 1030 + }, + { + "epoch": 1.39, + "learning_rate": 2.9181891629424497e-06, + "loss": 0.3786, + "step": 1031 + }, + { + "epoch": 1.39, + "learning_rate": 2.9146021905293826e-06, + "loss": 0.4439, + "step": 1032 + }, + { + "epoch": 1.39, + "learning_rate": 2.9110143402548685e-06, + "loss": 0.4267, + "step": 1033 + }, + { + "epoch": 1.39, + "learning_rate": 2.907425619715673e-06, + "loss": 0.4472, + "step": 1034 + }, + { + "epoch": 1.39, + "learning_rate": 2.9038360365104033e-06, + "loss": 0.4188, + "step": 1035 + }, + { + "epoch": 1.4, + "learning_rate": 2.9002455982394946e-06, + "loss": 0.3939, + "step": 1036 + }, + { + "epoch": 1.4, + "learning_rate": 2.89665431250519e-06, + "loss": 0.4062, + "step": 1037 + }, + { + "epoch": 1.4, + "learning_rate": 2.8930621869115304e-06, + "loss": 0.4093, + "step": 1038 + }, + { + "epoch": 1.4, + "learning_rate": 2.8894692290643323e-06, + "loss": 0.4207, + "step": 1039 + }, + { + "epoch": 1.4, + "learning_rate": 2.8858754465711753e-06, + "loss": 0.385, + "step": 1040 + }, + { + "epoch": 1.4, + "learning_rate": 2.8822808470413856e-06, + "loss": 0.3943, + "step": 1041 + }, + { + "epoch": 1.4, + "learning_rate": 2.8786854380860174e-06, + "loss": 0.377, + "step": 1042 + }, + { + "epoch": 1.41, + "learning_rate": 2.8750892273178425e-06, + "loss": 0.3593, + "step": 1043 + }, + { + "epoch": 1.41, + "learning_rate": 2.871492222351327e-06, + "loss": 0.4061, + "step": 1044 + }, + { + "epoch": 1.41, + "learning_rate": 2.8678944308026192e-06, + "loss": 0.3848, + "step": 1045 + }, + { + "epoch": 1.41, + "learning_rate": 2.864295860289534e-06, + "loss": 0.3726, + "step": 1046 + }, + { + "epoch": 1.41, + "learning_rate": 2.8606965184315348e-06, + "loss": 0.3888, + "step": 1047 + }, + { + "epoch": 1.41, + "learning_rate": 2.857096412849719e-06, + "loss": 0.4101, + "step": 1048 + }, + { + "epoch": 1.41, + "learning_rate": 2.8534955511667994e-06, + "loss": 0.3902, + "step": 1049 + }, + { + "epoch": 1.42, + "learning_rate": 2.8498939410070926e-06, + "loss": 0.4192, + "step": 1050 + }, + { + "epoch": 1.42, + "learning_rate": 2.8462915899964966e-06, + "loss": 0.4115, + "step": 1051 + }, + { + "epoch": 1.42, + "learning_rate": 2.8426885057624805e-06, + "loss": 0.3845, + "step": 1052 + }, + { + "epoch": 1.42, + "learning_rate": 2.839084695934064e-06, + "loss": 0.4047, + "step": 1053 + }, + { + "epoch": 1.42, + "learning_rate": 2.8354801681418063e-06, + "loss": 0.3784, + "step": 1054 + }, + { + "epoch": 1.42, + "learning_rate": 2.8318749300177833e-06, + "loss": 0.4388, + "step": 1055 + }, + { + "epoch": 1.42, + "learning_rate": 2.828268989195577e-06, + "loss": 0.3811, + "step": 1056 + }, + { + "epoch": 1.42, + "learning_rate": 2.824662353310256e-06, + "loss": 0.4292, + "step": 1057 + }, + { + "epoch": 1.43, + "learning_rate": 2.8210550299983615e-06, + "loss": 0.4674, + "step": 1058 + }, + { + "epoch": 1.43, + "learning_rate": 2.8174470268978897e-06, + "loss": 0.4187, + "step": 1059 + }, + { + "epoch": 1.43, + "learning_rate": 2.8138383516482775e-06, + "loss": 0.4406, + "step": 1060 + }, + { + "epoch": 1.43, + "learning_rate": 2.8102290118903825e-06, + "loss": 0.4855, + "step": 1061 + }, + { + "epoch": 1.43, + "learning_rate": 2.8066190152664715e-06, + "loss": 0.4593, + "step": 1062 + }, + { + "epoch": 1.43, + "learning_rate": 2.803008369420201e-06, + "loss": 0.4173, + "step": 1063 + }, + { + "epoch": 1.43, + "learning_rate": 2.799397081996603e-06, + "loss": 0.4081, + "step": 1064 + }, + { + "epoch": 1.44, + "learning_rate": 2.795785160642066e-06, + "loss": 0.3876, + "step": 1065 + }, + { + "epoch": 1.44, + "learning_rate": 2.7921726130043243e-06, + "loss": 0.4663, + "step": 1066 + }, + { + "epoch": 1.44, + "learning_rate": 2.7885594467324344e-06, + "loss": 0.4132, + "step": 1067 + }, + { + "epoch": 1.44, + "learning_rate": 2.784945669476765e-06, + "loss": 0.4451, + "step": 1068 + }, + { + "epoch": 1.44, + "learning_rate": 2.7813312888889775e-06, + "loss": 0.3737, + "step": 1069 + }, + { + "epoch": 1.44, + "learning_rate": 2.777716312622012e-06, + "loss": 0.4197, + "step": 1070 + }, + { + "epoch": 1.44, + "learning_rate": 2.774100748330068e-06, + "loss": 0.4422, + "step": 1071 + }, + { + "epoch": 1.44, + "learning_rate": 2.7704846036685925e-06, + "loss": 0.434, + "step": 1072 + }, + { + "epoch": 1.45, + "learning_rate": 2.766867886294257e-06, + "loss": 0.4828, + "step": 1073 + }, + { + "epoch": 1.45, + "learning_rate": 2.763250603864952e-06, + "loss": 0.3787, + "step": 1074 + }, + { + "epoch": 1.45, + "learning_rate": 2.759632764039759e-06, + "loss": 0.4108, + "step": 1075 + }, + { + "epoch": 1.45, + "learning_rate": 2.7560143744789423e-06, + "loss": 0.3808, + "step": 1076 + }, + { + "epoch": 1.45, + "learning_rate": 2.7523954428439293e-06, + "loss": 0.37, + "step": 1077 + }, + { + "epoch": 1.45, + "learning_rate": 2.7487759767972955e-06, + "loss": 0.4202, + "step": 1078 + }, + { + "epoch": 1.45, + "learning_rate": 2.745155984002748e-06, + "loss": 0.4104, + "step": 1079 + }, + { + "epoch": 1.46, + "learning_rate": 2.741535472125109e-06, + "loss": 0.364, + "step": 1080 + }, + { + "epoch": 1.46, + "learning_rate": 2.7379144488303e-06, + "loss": 0.4608, + "step": 1081 + }, + { + "epoch": 1.46, + "learning_rate": 2.7342929217853248e-06, + "loss": 0.479, + "step": 1082 + }, + { + "epoch": 1.46, + "learning_rate": 2.730670898658255e-06, + "loss": 0.43, + "step": 1083 + }, + { + "epoch": 1.46, + "learning_rate": 2.7270483871182117e-06, + "loss": 0.4367, + "step": 1084 + }, + { + "epoch": 1.46, + "learning_rate": 2.723425394835349e-06, + "loss": 0.4218, + "step": 1085 + }, + { + "epoch": 1.46, + "learning_rate": 2.719801929480842e-06, + "loss": 0.4312, + "step": 1086 + }, + { + "epoch": 1.46, + "learning_rate": 2.7161779987268643e-06, + "loss": 0.4948, + "step": 1087 + }, + { + "epoch": 1.47, + "learning_rate": 2.712553610246578e-06, + "loss": 0.4831, + "step": 1088 + }, + { + "epoch": 1.47, + "learning_rate": 2.7089287717141092e-06, + "loss": 0.5051, + "step": 1089 + }, + { + "epoch": 1.47, + "learning_rate": 2.7053034908045444e-06, + "loss": 0.4264, + "step": 1090 + }, + { + "epoch": 1.47, + "learning_rate": 2.7016777751939005e-06, + "loss": 0.3511, + "step": 1091 + }, + { + "epoch": 1.47, + "learning_rate": 2.698051632559117e-06, + "loss": 0.4062, + "step": 1092 + }, + { + "epoch": 1.47, + "learning_rate": 2.694425070578038e-06, + "loss": 0.3755, + "step": 1093 + }, + { + "epoch": 1.47, + "learning_rate": 2.6907980969293955e-06, + "loss": 0.3366, + "step": 1094 + }, + { + "epoch": 1.48, + "learning_rate": 2.6871707192927927e-06, + "loss": 0.4446, + "step": 1095 + }, + { + "epoch": 1.48, + "learning_rate": 2.683542945348687e-06, + "loss": 0.4657, + "step": 1096 + }, + { + "epoch": 1.48, + "learning_rate": 2.679914782778378e-06, + "loss": 0.4108, + "step": 1097 + }, + { + "epoch": 1.48, + "learning_rate": 2.676286239263985e-06, + "loss": 0.5277, + "step": 1098 + }, + { + "epoch": 1.48, + "learning_rate": 2.6726573224884363e-06, + "loss": 0.4344, + "step": 1099 + }, + { + "epoch": 1.48, + "learning_rate": 2.6690280401354485e-06, + "loss": 0.3716, + "step": 1100 + }, + { + "epoch": 1.48, + "learning_rate": 2.6653983998895126e-06, + "loss": 0.3997, + "step": 1101 + }, + { + "epoch": 1.49, + "learning_rate": 2.6617684094358803e-06, + "loss": 0.4, + "step": 1102 + }, + { + "epoch": 1.49, + "learning_rate": 2.6581380764605408e-06, + "loss": 0.4252, + "step": 1103 + }, + { + "epoch": 1.49, + "learning_rate": 2.654507408650211e-06, + "loss": 0.4862, + "step": 1104 + }, + { + "epoch": 1.49, + "learning_rate": 2.650876413692315e-06, + "loss": 0.4055, + "step": 1105 + }, + { + "epoch": 1.49, + "learning_rate": 2.6472450992749715e-06, + "loss": 0.3804, + "step": 1106 + }, + { + "epoch": 1.49, + "learning_rate": 2.643613473086975e-06, + "loss": 0.3843, + "step": 1107 + }, + { + "epoch": 1.49, + "learning_rate": 2.639981542817779e-06, + "loss": 0.4221, + "step": 1108 + }, + { + "epoch": 1.49, + "learning_rate": 2.6363493161574815e-06, + "loss": 0.4529, + "step": 1109 + }, + { + "epoch": 1.5, + "learning_rate": 2.6327168007968096e-06, + "loss": 0.4893, + "step": 1110 + }, + { + "epoch": 1.5, + "learning_rate": 2.6290840044270994e-06, + "loss": 0.3949, + "step": 1111 + }, + { + "epoch": 1.5, + "learning_rate": 2.6254509347402833e-06, + "loss": 0.4231, + "step": 1112 + }, + { + "epoch": 1.5, + "learning_rate": 2.621817599428872e-06, + "loss": 0.3819, + "step": 1113 + }, + { + "epoch": 1.5, + "learning_rate": 2.6181840061859377e-06, + "loss": 0.4096, + "step": 1114 + }, + { + "epoch": 1.5, + "learning_rate": 2.6145501627051018e-06, + "loss": 0.4165, + "step": 1115 + }, + { + "epoch": 1.5, + "learning_rate": 2.610916076680512e-06, + "loss": 0.4412, + "step": 1116 + }, + { + "epoch": 1.51, + "learning_rate": 2.6072817558068302e-06, + "loss": 0.3469, + "step": 1117 + }, + { + "epoch": 1.51, + "learning_rate": 2.6036472077792184e-06, + "loss": 0.4681, + "step": 1118 + }, + { + "epoch": 1.51, + "learning_rate": 2.600012440293317e-06, + "loss": 0.4266, + "step": 1119 + }, + { + "epoch": 1.51, + "learning_rate": 2.5963774610452304e-06, + "loss": 0.4038, + "step": 1120 + }, + { + "epoch": 1.51, + "learning_rate": 2.592742277731513e-06, + "loss": 0.3893, + "step": 1121 + }, + { + "epoch": 1.51, + "learning_rate": 2.589106898049152e-06, + "loss": 0.406, + "step": 1122 + }, + { + "epoch": 1.51, + "learning_rate": 2.5854713296955484e-06, + "loss": 0.3781, + "step": 1123 + }, + { + "epoch": 1.51, + "learning_rate": 2.581835580368504e-06, + "loss": 0.3608, + "step": 1124 + }, + { + "epoch": 1.52, + "learning_rate": 2.5781996577662024e-06, + "loss": 0.4497, + "step": 1125 + }, + { + "epoch": 1.52, + "learning_rate": 2.5745635695871956e-06, + "loss": 0.4248, + "step": 1126 + }, + { + "epoch": 1.52, + "learning_rate": 2.5709273235303857e-06, + "loss": 0.4386, + "step": 1127 + }, + { + "epoch": 1.52, + "learning_rate": 2.5672909272950086e-06, + "loss": 0.4046, + "step": 1128 + }, + { + "epoch": 1.52, + "learning_rate": 2.5636543885806185e-06, + "loss": 0.3336, + "step": 1129 + }, + { + "epoch": 1.52, + "learning_rate": 2.560017715087072e-06, + "loss": 0.4674, + "step": 1130 + }, + { + "epoch": 1.52, + "learning_rate": 2.55638091451451e-06, + "loss": 0.4277, + "step": 1131 + }, + { + "epoch": 1.53, + "learning_rate": 2.5527439945633433e-06, + "loss": 0.3593, + "step": 1132 + }, + { + "epoch": 1.53, + "learning_rate": 2.5491069629342336e-06, + "loss": 0.353, + "step": 1133 + }, + { + "epoch": 1.53, + "learning_rate": 2.545469827328082e-06, + "loss": 0.5072, + "step": 1134 + }, + { + "epoch": 1.53, + "learning_rate": 2.5418325954460083e-06, + "loss": 0.4768, + "step": 1135 + }, + { + "epoch": 1.53, + "learning_rate": 2.538195274989335e-06, + "loss": 0.4497, + "step": 1136 + }, + { + "epoch": 1.53, + "learning_rate": 2.5345578736595738e-06, + "loss": 0.4261, + "step": 1137 + }, + { + "epoch": 1.53, + "learning_rate": 2.5309203991584076e-06, + "loss": 0.3889, + "step": 1138 + }, + { + "epoch": 1.54, + "learning_rate": 2.5272828591876734e-06, + "loss": 0.4262, + "step": 1139 + }, + { + "epoch": 1.54, + "learning_rate": 2.523645261449347e-06, + "loss": 0.4846, + "step": 1140 + }, + { + "epoch": 1.54, + "learning_rate": 2.5200076136455263e-06, + "loss": 0.3799, + "step": 1141 + }, + { + "epoch": 1.54, + "learning_rate": 2.5163699234784165e-06, + "loss": 0.4588, + "step": 1142 + }, + { + "epoch": 1.54, + "learning_rate": 2.512732198650311e-06, + "loss": 0.4282, + "step": 1143 + }, + { + "epoch": 1.54, + "learning_rate": 2.509094446863577e-06, + "loss": 0.4461, + "step": 1144 + }, + { + "epoch": 1.54, + "learning_rate": 2.5054566758206395e-06, + "loss": 0.416, + "step": 1145 + }, + { + "epoch": 1.54, + "learning_rate": 2.501818893223963e-06, + "loss": 0.413, + "step": 1146 + }, + { + "epoch": 1.55, + "learning_rate": 2.4981811067760375e-06, + "loss": 0.422, + "step": 1147 + }, + { + "epoch": 1.55, + "learning_rate": 2.4945433241793614e-06, + "loss": 0.3697, + "step": 1148 + }, + { + "epoch": 1.55, + "learning_rate": 2.490905553136424e-06, + "loss": 0.4615, + "step": 1149 + }, + { + "epoch": 1.55, + "learning_rate": 2.4872678013496902e-06, + "loss": 0.4238, + "step": 1150 + }, + { + "epoch": 1.55, + "learning_rate": 2.4836300765215843e-06, + "loss": 0.4407, + "step": 1151 + }, + { + "epoch": 1.55, + "learning_rate": 2.479992386354474e-06, + "loss": 0.3983, + "step": 1152 + }, + { + "epoch": 1.55, + "learning_rate": 2.4763547385506536e-06, + "loss": 0.4927, + "step": 1153 + }, + { + "epoch": 1.56, + "learning_rate": 2.4727171408123274e-06, + "loss": 0.4457, + "step": 1154 + }, + { + "epoch": 1.56, + "learning_rate": 2.4690796008415928e-06, + "loss": 0.3895, + "step": 1155 + }, + { + "epoch": 1.56, + "learning_rate": 2.4654421263404266e-06, + "loss": 0.4091, + "step": 1156 + }, + { + "epoch": 1.56, + "learning_rate": 2.4618047250106662e-06, + "loss": 0.4862, + "step": 1157 + }, + { + "epoch": 1.56, + "learning_rate": 2.458167404553993e-06, + "loss": 0.387, + "step": 1158 + }, + { + "epoch": 1.56, + "learning_rate": 2.454530172671918e-06, + "loss": 0.3472, + "step": 1159 + }, + { + "epoch": 1.56, + "learning_rate": 2.4508930370657668e-06, + "loss": 0.4825, + "step": 1160 + }, + { + "epoch": 1.56, + "learning_rate": 2.4472560054366576e-06, + "loss": 0.4096, + "step": 1161 + }, + { + "epoch": 1.57, + "learning_rate": 2.4436190854854904e-06, + "loss": 0.4362, + "step": 1162 + }, + { + "epoch": 1.57, + "learning_rate": 2.4399822849129288e-06, + "loss": 0.3659, + "step": 1163 + }, + { + "epoch": 1.57, + "learning_rate": 2.436345611419382e-06, + "loss": 0.4241, + "step": 1164 + }, + { + "epoch": 1.57, + "learning_rate": 2.4327090727049926e-06, + "loss": 0.3588, + "step": 1165 + }, + { + "epoch": 1.57, + "learning_rate": 2.4290726764696156e-06, + "loss": 0.4625, + "step": 1166 + }, + { + "epoch": 1.57, + "learning_rate": 2.425436430412805e-06, + "loss": 0.414, + "step": 1167 + }, + { + "epoch": 1.57, + "learning_rate": 2.421800342233798e-06, + "loss": 0.4241, + "step": 1168 + }, + { + "epoch": 1.58, + "learning_rate": 2.4181644196314967e-06, + "loss": 0.3791, + "step": 1169 + }, + { + "epoch": 1.58, + "learning_rate": 2.414528670304452e-06, + "loss": 0.5043, + "step": 1170 + }, + { + "epoch": 1.58, + "learning_rate": 2.410893101950848e-06, + "loss": 0.332, + "step": 1171 + }, + { + "epoch": 1.58, + "learning_rate": 2.4072577222684874e-06, + "loss": 0.5211, + "step": 1172 + }, + { + "epoch": 1.58, + "learning_rate": 2.403622538954771e-06, + "loss": 0.4665, + "step": 1173 + }, + { + "epoch": 1.58, + "learning_rate": 2.3999875597066844e-06, + "loss": 0.4306, + "step": 1174 + }, + { + "epoch": 1.58, + "learning_rate": 2.3963527922207816e-06, + "loss": 0.3741, + "step": 1175 + }, + { + "epoch": 1.58, + "learning_rate": 2.3927182441931698e-06, + "loss": 0.4534, + "step": 1176 + }, + { + "epoch": 1.59, + "learning_rate": 2.389083923319489e-06, + "loss": 0.3852, + "step": 1177 + }, + { + "epoch": 1.59, + "learning_rate": 2.385449837294899e-06, + "loss": 0.365, + "step": 1178 + }, + { + "epoch": 1.59, + "learning_rate": 2.3818159938140627e-06, + "loss": 0.3592, + "step": 1179 + }, + { + "epoch": 1.59, + "learning_rate": 2.378182400571129e-06, + "loss": 0.4439, + "step": 1180 + }, + { + "epoch": 1.59, + "learning_rate": 2.3745490652597175e-06, + "loss": 0.4488, + "step": 1181 + }, + { + "epoch": 1.59, + "learning_rate": 2.3709159955729015e-06, + "loss": 0.3963, + "step": 1182 + }, + { + "epoch": 1.59, + "learning_rate": 2.367283199203191e-06, + "loss": 0.3779, + "step": 1183 + }, + { + "epoch": 1.6, + "learning_rate": 2.363650683842519e-06, + "loss": 0.4369, + "step": 1184 + }, + { + "epoch": 1.6, + "learning_rate": 2.3600184571822216e-06, + "loss": 0.4515, + "step": 1185 + }, + { + "epoch": 1.6, + "learning_rate": 2.3563865269130258e-06, + "loss": 0.4741, + "step": 1186 + }, + { + "epoch": 1.6, + "learning_rate": 2.3527549007250293e-06, + "loss": 0.4242, + "step": 1187 + }, + { + "epoch": 1.6, + "learning_rate": 2.349123586307686e-06, + "loss": 0.3653, + "step": 1188 + }, + { + "epoch": 1.6, + "learning_rate": 2.3454925913497905e-06, + "loss": 0.4264, + "step": 1189 + }, + { + "epoch": 1.6, + "learning_rate": 2.34186192353946e-06, + "loss": 0.3889, + "step": 1190 + }, + { + "epoch": 1.61, + "learning_rate": 2.3382315905641196e-06, + "loss": 0.4111, + "step": 1191 + }, + { + "epoch": 1.61, + "learning_rate": 2.334601600110487e-06, + "loss": 0.4824, + "step": 1192 + }, + { + "epoch": 1.61, + "learning_rate": 2.3309719598645524e-06, + "loss": 0.4968, + "step": 1193 + }, + { + "epoch": 1.61, + "learning_rate": 2.3273426775115645e-06, + "loss": 0.4278, + "step": 1194 + }, + { + "epoch": 1.61, + "learning_rate": 2.323713760736016e-06, + "loss": 0.4424, + "step": 1195 + }, + { + "epoch": 1.61, + "learning_rate": 2.320085217221623e-06, + "loss": 0.3973, + "step": 1196 + }, + { + "epoch": 1.61, + "learning_rate": 2.3164570546513137e-06, + "loss": 0.453, + "step": 1197 + }, + { + "epoch": 1.61, + "learning_rate": 2.312829280707209e-06, + "loss": 0.4567, + "step": 1198 + }, + { + "epoch": 1.62, + "learning_rate": 2.309201903070605e-06, + "loss": 0.4091, + "step": 1199 + }, + { + "epoch": 1.62, + "learning_rate": 2.305574929421962e-06, + "loss": 0.4302, + "step": 1200 + }, + { + "epoch": 1.62, + "learning_rate": 2.3019483674408833e-06, + "loss": 0.4339, + "step": 1201 + }, + { + "epoch": 1.62, + "learning_rate": 2.2983222248061003e-06, + "loss": 0.3715, + "step": 1202 + }, + { + "epoch": 1.62, + "learning_rate": 2.2946965091954564e-06, + "loss": 0.4068, + "step": 1203 + }, + { + "epoch": 1.62, + "learning_rate": 2.291071228285891e-06, + "loss": 0.411, + "step": 1204 + }, + { + "epoch": 1.62, + "learning_rate": 2.287446389753424e-06, + "loss": 0.4175, + "step": 1205 + }, + { + "epoch": 1.63, + "learning_rate": 2.2838220012731365e-06, + "loss": 0.3615, + "step": 1206 + }, + { + "epoch": 1.63, + "learning_rate": 2.280198070519158e-06, + "loss": 0.4215, + "step": 1207 + }, + { + "epoch": 1.63, + "learning_rate": 2.276574605164651e-06, + "loss": 0.4622, + "step": 1208 + }, + { + "epoch": 1.63, + "learning_rate": 2.272951612881789e-06, + "loss": 0.3757, + "step": 1209 + }, + { + "epoch": 1.63, + "learning_rate": 2.269329101341745e-06, + "loss": 0.4465, + "step": 1210 + }, + { + "epoch": 1.63, + "learning_rate": 2.2657070782146756e-06, + "loss": 0.3708, + "step": 1211 + }, + { + "epoch": 1.63, + "learning_rate": 2.262085551169701e-06, + "loss": 0.3627, + "step": 1212 + }, + { + "epoch": 1.63, + "learning_rate": 2.2584645278748917e-06, + "loss": 0.4254, + "step": 1213 + }, + { + "epoch": 1.64, + "learning_rate": 2.2548440159972526e-06, + "loss": 0.4433, + "step": 1214 + }, + { + "epoch": 1.64, + "learning_rate": 2.251224023202705e-06, + "loss": 0.3699, + "step": 1215 + }, + { + "epoch": 1.64, + "learning_rate": 2.247604557156071e-06, + "loss": 0.3932, + "step": 1216 + }, + { + "epoch": 1.64, + "learning_rate": 2.2439856255210585e-06, + "loss": 0.4346, + "step": 1217 + }, + { + "epoch": 1.64, + "learning_rate": 2.240367235960242e-06, + "loss": 0.414, + "step": 1218 + }, + { + "epoch": 1.64, + "learning_rate": 2.2367493961350485e-06, + "loss": 0.4211, + "step": 1219 + }, + { + "epoch": 1.64, + "learning_rate": 2.2331321137057434e-06, + "loss": 0.4693, + "step": 1220 + }, + { + "epoch": 1.65, + "learning_rate": 2.229515396331409e-06, + "loss": 0.4148, + "step": 1221 + }, + { + "epoch": 1.65, + "learning_rate": 2.225899251669933e-06, + "loss": 0.4088, + "step": 1222 + }, + { + "epoch": 1.65, + "learning_rate": 2.222283687377989e-06, + "loss": 0.3872, + "step": 1223 + }, + { + "epoch": 1.65, + "learning_rate": 2.218668711111023e-06, + "loss": 0.4684, + "step": 1224 + }, + { + "epoch": 1.65, + "learning_rate": 2.2150543305232354e-06, + "loss": 0.4707, + "step": 1225 + }, + { + "epoch": 1.65, + "learning_rate": 2.2114405532675664e-06, + "loss": 0.3964, + "step": 1226 + }, + { + "epoch": 1.65, + "learning_rate": 2.2078273869956765e-06, + "loss": 0.4141, + "step": 1227 + }, + { + "epoch": 1.65, + "learning_rate": 2.2042148393579343e-06, + "loss": 0.3828, + "step": 1228 + }, + { + "epoch": 1.66, + "learning_rate": 2.2006029180033982e-06, + "loss": 0.4107, + "step": 1229 + }, + { + "epoch": 1.66, + "learning_rate": 2.1969916305798e-06, + "loss": 0.3754, + "step": 1230 + }, + { + "epoch": 1.66, + "learning_rate": 2.193380984733529e-06, + "loss": 0.4916, + "step": 1231 + }, + { + "epoch": 1.66, + "learning_rate": 2.189770988109618e-06, + "loss": 0.4562, + "step": 1232 + }, + { + "epoch": 1.66, + "learning_rate": 2.1861616483517234e-06, + "loss": 0.3988, + "step": 1233 + }, + { + "epoch": 1.66, + "learning_rate": 2.1825529731021107e-06, + "loss": 0.4626, + "step": 1234 + }, + { + "epoch": 1.66, + "learning_rate": 2.1789449700016397e-06, + "loss": 0.4739, + "step": 1235 + }, + { + "epoch": 1.67, + "learning_rate": 2.1753376466897454e-06, + "loss": 0.4394, + "step": 1236 + }, + { + "epoch": 1.67, + "learning_rate": 2.171731010804424e-06, + "loss": 0.3347, + "step": 1237 + }, + { + "epoch": 1.67, + "learning_rate": 2.168125069982218e-06, + "loss": 0.4316, + "step": 1238 + }, + { + "epoch": 1.67, + "learning_rate": 2.164519831858194e-06, + "loss": 0.4066, + "step": 1239 + }, + { + "epoch": 1.67, + "learning_rate": 2.160915304065936e-06, + "loss": 0.3585, + "step": 1240 + }, + { + "epoch": 1.67, + "learning_rate": 2.1573114942375204e-06, + "loss": 0.4023, + "step": 1241 + }, + { + "epoch": 1.67, + "learning_rate": 2.153708410003504e-06, + "loss": 0.4024, + "step": 1242 + }, + { + "epoch": 1.68, + "learning_rate": 2.1501060589929087e-06, + "loss": 0.3712, + "step": 1243 + }, + { + "epoch": 1.68, + "learning_rate": 2.146504448833201e-06, + "loss": 0.4084, + "step": 1244 + }, + { + "epoch": 1.68, + "learning_rate": 2.142903587150282e-06, + "loss": 0.3694, + "step": 1245 + }, + { + "epoch": 1.68, + "learning_rate": 2.1393034815684656e-06, + "loss": 0.3919, + "step": 1246 + }, + { + "epoch": 1.68, + "learning_rate": 2.1357041397104663e-06, + "loss": 0.445, + "step": 1247 + }, + { + "epoch": 1.68, + "learning_rate": 2.132105569197381e-06, + "loss": 0.3966, + "step": 1248 + }, + { + "epoch": 1.68, + "learning_rate": 2.1285077776486737e-06, + "loss": 0.363, + "step": 1249 + }, + { + "epoch": 1.68, + "learning_rate": 2.124910772682158e-06, + "loss": 0.407, + "step": 1250 + }, + { + "epoch": 1.69, + "learning_rate": 2.121314561913983e-06, + "loss": 0.4606, + "step": 1251 + }, + { + "epoch": 1.69, + "learning_rate": 2.1177191529586156e-06, + "loss": 0.4511, + "step": 1252 + }, + { + "epoch": 1.69, + "learning_rate": 2.114124553428826e-06, + "loss": 0.3506, + "step": 1253 + }, + { + "epoch": 1.69, + "learning_rate": 2.110530770935669e-06, + "loss": 0.4422, + "step": 1254 + }, + { + "epoch": 1.69, + "learning_rate": 2.1069378130884704e-06, + "loss": 0.4193, + "step": 1255 + }, + { + "epoch": 1.69, + "learning_rate": 2.103345687494811e-06, + "loss": 0.4005, + "step": 1256 + }, + { + "epoch": 1.69, + "learning_rate": 2.0997544017605063e-06, + "loss": 0.4031, + "step": 1257 + }, + { + "epoch": 1.7, + "learning_rate": 2.096163963489597e-06, + "loss": 0.4561, + "step": 1258 + }, + { + "epoch": 1.7, + "learning_rate": 2.092574380284328e-06, + "loss": 0.4033, + "step": 1259 + }, + { + "epoch": 1.7, + "learning_rate": 2.0889856597451323e-06, + "loss": 0.3817, + "step": 1260 + }, + { + "epoch": 1.7, + "learning_rate": 2.0853978094706187e-06, + "loss": 0.4174, + "step": 1261 + }, + { + "epoch": 1.7, + "learning_rate": 2.081810837057552e-06, + "loss": 0.4343, + "step": 1262 + }, + { + "epoch": 1.7, + "learning_rate": 2.078224750100837e-06, + "loss": 0.3591, + "step": 1263 + }, + { + "epoch": 1.7, + "learning_rate": 2.074639556193507e-06, + "loss": 0.485, + "step": 1264 + }, + { + "epoch": 1.7, + "learning_rate": 2.0710552629267033e-06, + "loss": 0.37, + "step": 1265 + }, + { + "epoch": 1.71, + "learning_rate": 2.067471877889658e-06, + "loss": 0.382, + "step": 1266 + }, + { + "epoch": 1.71, + "learning_rate": 2.0638894086696816e-06, + "loss": 0.4614, + "step": 1267 + }, + { + "epoch": 1.71, + "learning_rate": 2.0603078628521456e-06, + "loss": 0.3991, + "step": 1268 + }, + { + "epoch": 1.71, + "learning_rate": 2.056727248020467e-06, + "loss": 0.3902, + "step": 1269 + }, + { + "epoch": 1.71, + "learning_rate": 2.05314757175609e-06, + "loss": 0.4208, + "step": 1270 + }, + { + "epoch": 1.71, + "learning_rate": 2.049568841638472e-06, + "loss": 0.4055, + "step": 1271 + }, + { + "epoch": 1.71, + "learning_rate": 2.045991065245069e-06, + "loss": 0.4541, + "step": 1272 + }, + { + "epoch": 1.72, + "learning_rate": 2.0424142501513156e-06, + "loss": 0.4102, + "step": 1273 + }, + { + "epoch": 1.72, + "learning_rate": 2.0388384039306105e-06, + "loss": 0.3933, + "step": 1274 + }, + { + "epoch": 1.72, + "learning_rate": 2.0352635341543026e-06, + "loss": 0.3368, + "step": 1275 + }, + { + "epoch": 1.72, + "learning_rate": 2.0316896483916724e-06, + "loss": 0.4141, + "step": 1276 + }, + { + "epoch": 1.72, + "learning_rate": 2.028116754209917e-06, + "loss": 0.5264, + "step": 1277 + }, + { + "epoch": 1.72, + "learning_rate": 2.024544859174134e-06, + "loss": 0.3612, + "step": 1278 + }, + { + "epoch": 1.72, + "learning_rate": 2.020973970847304e-06, + "loss": 0.4167, + "step": 1279 + }, + { + "epoch": 1.73, + "learning_rate": 2.017404096790281e-06, + "loss": 0.4225, + "step": 1280 + }, + { + "epoch": 1.73, + "learning_rate": 2.0138352445617654e-06, + "loss": 0.384, + "step": 1281 + }, + { + "epoch": 1.73, + "learning_rate": 2.0102674217182974e-06, + "loss": 0.377, + "step": 1282 + }, + { + "epoch": 1.73, + "learning_rate": 2.0067006358142367e-06, + "loss": 0.3634, + "step": 1283 + }, + { + "epoch": 1.73, + "learning_rate": 2.0031348944017474e-06, + "loss": 0.4366, + "step": 1284 + }, + { + "epoch": 1.73, + "learning_rate": 1.9995702050307817e-06, + "loss": 0.3645, + "step": 1285 + }, + { + "epoch": 1.73, + "learning_rate": 1.996006575249066e-06, + "loss": 0.4019, + "step": 1286 + }, + { + "epoch": 1.73, + "learning_rate": 1.9924440126020805e-06, + "loss": 0.4324, + "step": 1287 + }, + { + "epoch": 1.74, + "learning_rate": 1.9888825246330486e-06, + "loss": 0.5074, + "step": 1288 + }, + { + "epoch": 1.74, + "learning_rate": 1.985322118882916e-06, + "loss": 0.4765, + "step": 1289 + }, + { + "epoch": 1.74, + "learning_rate": 1.981762802890338e-06, + "loss": 0.4017, + "step": 1290 + }, + { + "epoch": 1.74, + "learning_rate": 1.9782045841916625e-06, + "loss": 0.3928, + "step": 1291 + }, + { + "epoch": 1.74, + "learning_rate": 1.974647470320914e-06, + "loss": 0.3942, + "step": 1292 + }, + { + "epoch": 1.74, + "learning_rate": 1.9710914688097775e-06, + "loss": 0.4327, + "step": 1293 + }, + { + "epoch": 1.74, + "learning_rate": 1.9675365871875827e-06, + "loss": 0.4184, + "step": 1294 + }, + { + "epoch": 1.75, + "learning_rate": 1.963982832981287e-06, + "loss": 0.4365, + "step": 1295 + }, + { + "epoch": 1.75, + "learning_rate": 1.960430213715464e-06, + "loss": 0.4373, + "step": 1296 + }, + { + "epoch": 1.75, + "learning_rate": 1.9568787369122814e-06, + "loss": 0.4307, + "step": 1297 + }, + { + "epoch": 1.75, + "learning_rate": 1.9533284100914884e-06, + "loss": 0.4458, + "step": 1298 + }, + { + "epoch": 1.75, + "learning_rate": 1.9497792407703994e-06, + "loss": 0.4884, + "step": 1299 + }, + { + "epoch": 1.75, + "learning_rate": 1.946231236463878e-06, + "loss": 0.4509, + "step": 1300 + }, + { + "epoch": 1.75, + "learning_rate": 1.9426844046843207e-06, + "loss": 0.3945, + "step": 1301 + }, + { + "epoch": 1.75, + "learning_rate": 1.9391387529416425e-06, + "loss": 0.4128, + "step": 1302 + }, + { + "epoch": 1.76, + "learning_rate": 1.935594288743257e-06, + "loss": 0.4168, + "step": 1303 + }, + { + "epoch": 1.76, + "learning_rate": 1.9320510195940687e-06, + "loss": 0.4243, + "step": 1304 + }, + { + "epoch": 1.76, + "learning_rate": 1.9285089529964467e-06, + "loss": 0.3979, + "step": 1305 + }, + { + "epoch": 1.76, + "learning_rate": 1.924968096450215e-06, + "loss": 0.3824, + "step": 1306 + }, + { + "epoch": 1.76, + "learning_rate": 1.921428457452637e-06, + "loss": 0.4088, + "step": 1307 + }, + { + "epoch": 1.76, + "learning_rate": 1.917890043498397e-06, + "loss": 0.4867, + "step": 1308 + }, + { + "epoch": 1.76, + "learning_rate": 1.9143528620795852e-06, + "loss": 0.4444, + "step": 1309 + }, + { + "epoch": 1.77, + "learning_rate": 1.9108169206856833e-06, + "loss": 0.47, + "step": 1310 + }, + { + "epoch": 1.77, + "learning_rate": 1.907282226803545e-06, + "loss": 0.4627, + "step": 1311 + }, + { + "epoch": 1.77, + "learning_rate": 1.9037487879173866e-06, + "loss": 0.3662, + "step": 1312 + }, + { + "epoch": 1.77, + "learning_rate": 1.9002166115087634e-06, + "loss": 0.4637, + "step": 1313 + }, + { + "epoch": 1.77, + "learning_rate": 1.896685705056559e-06, + "loss": 0.3989, + "step": 1314 + }, + { + "epoch": 1.77, + "learning_rate": 1.8931560760369682e-06, + "loss": 0.426, + "step": 1315 + }, + { + "epoch": 1.77, + "learning_rate": 1.8896277319234806e-06, + "loss": 0.3929, + "step": 1316 + }, + { + "epoch": 1.77, + "learning_rate": 1.8861006801868656e-06, + "loss": 0.4239, + "step": 1317 + }, + { + "epoch": 1.78, + "learning_rate": 1.8825749282951553e-06, + "loss": 0.46, + "step": 1318 + }, + { + "epoch": 1.78, + "learning_rate": 1.8790504837136305e-06, + "loss": 0.4207, + "step": 1319 + }, + { + "epoch": 1.78, + "learning_rate": 1.8755273539048047e-06, + "loss": 0.4829, + "step": 1320 + }, + { + "epoch": 1.78, + "learning_rate": 1.8720055463284053e-06, + "loss": 0.3799, + "step": 1321 + }, + { + "epoch": 1.78, + "learning_rate": 1.8684850684413622e-06, + "loss": 0.4128, + "step": 1322 + }, + { + "epoch": 1.78, + "learning_rate": 1.8649659276977878e-06, + "loss": 0.3837, + "step": 1323 + }, + { + "epoch": 1.78, + "learning_rate": 1.8614481315489655e-06, + "loss": 0.3744, + "step": 1324 + }, + { + "epoch": 1.79, + "learning_rate": 1.8579316874433306e-06, + "loss": 0.4701, + "step": 1325 + }, + { + "epoch": 1.79, + "learning_rate": 1.8544166028264548e-06, + "loss": 0.4017, + "step": 1326 + }, + { + "epoch": 1.79, + "learning_rate": 1.850902885141033e-06, + "loss": 0.3803, + "step": 1327 + }, + { + "epoch": 1.79, + "learning_rate": 1.8473905418268649e-06, + "loss": 0.4432, + "step": 1328 + }, + { + "epoch": 1.79, + "learning_rate": 1.8438795803208394e-06, + "loss": 0.4347, + "step": 1329 + }, + { + "epoch": 1.79, + "learning_rate": 1.840370008056922e-06, + "loss": 0.4086, + "step": 1330 + }, + { + "epoch": 1.79, + "learning_rate": 1.8368618324661345e-06, + "loss": 0.4637, + "step": 1331 + }, + { + "epoch": 1.8, + "learning_rate": 1.8333550609765417e-06, + "loss": 0.3766, + "step": 1332 + }, + { + "epoch": 1.8, + "learning_rate": 1.829849701013236e-06, + "loss": 0.3864, + "step": 1333 + }, + { + "epoch": 1.8, + "learning_rate": 1.826345759998321e-06, + "loss": 0.4131, + "step": 1334 + }, + { + "epoch": 1.8, + "learning_rate": 1.8228432453508942e-06, + "loss": 0.4322, + "step": 1335 + }, + { + "epoch": 1.8, + "learning_rate": 1.819342164487038e-06, + "loss": 0.4596, + "step": 1336 + }, + { + "epoch": 1.8, + "learning_rate": 1.8158425248197931e-06, + "loss": 0.3874, + "step": 1337 + }, + { + "epoch": 1.8, + "learning_rate": 1.8123443337591511e-06, + "loss": 0.3889, + "step": 1338 + }, + { + "epoch": 1.8, + "learning_rate": 1.8088475987120373e-06, + "loss": 0.3754, + "step": 1339 + }, + { + "epoch": 1.81, + "learning_rate": 1.805352327082293e-06, + "loss": 0.3932, + "step": 1340 + }, + { + "epoch": 1.81, + "learning_rate": 1.80185852627066e-06, + "loss": 0.3814, + "step": 1341 + }, + { + "epoch": 1.81, + "learning_rate": 1.7983662036747682e-06, + "loss": 0.4636, + "step": 1342 + }, + { + "epoch": 1.81, + "learning_rate": 1.7948753666891144e-06, + "loss": 0.4085, + "step": 1343 + }, + { + "epoch": 1.81, + "learning_rate": 1.7913860227050544e-06, + "loss": 0.4775, + "step": 1344 + }, + { + "epoch": 1.81, + "learning_rate": 1.7878981791107791e-06, + "loss": 0.3651, + "step": 1345 + }, + { + "epoch": 1.81, + "learning_rate": 1.784411843291303e-06, + "loss": 0.4041, + "step": 1346 + }, + { + "epoch": 1.82, + "learning_rate": 1.7809270226284493e-06, + "loss": 0.4344, + "step": 1347 + }, + { + "epoch": 1.82, + "learning_rate": 1.7774437245008319e-06, + "loss": 0.4183, + "step": 1348 + }, + { + "epoch": 1.82, + "learning_rate": 1.7739619562838417e-06, + "loss": 0.4672, + "step": 1349 + }, + { + "epoch": 1.82, + "learning_rate": 1.77048172534963e-06, + "loss": 0.3933, + "step": 1350 + }, + { + "epoch": 1.82, + "learning_rate": 1.7670030390670923e-06, + "loss": 0.3767, + "step": 1351 + }, + { + "epoch": 1.82, + "learning_rate": 1.7635259048018561e-06, + "loss": 0.4458, + "step": 1352 + }, + { + "epoch": 1.82, + "learning_rate": 1.7600503299162603e-06, + "loss": 0.4179, + "step": 1353 + }, + { + "epoch": 1.82, + "learning_rate": 1.7565763217693427e-06, + "loss": 0.3832, + "step": 1354 + }, + { + "epoch": 1.83, + "learning_rate": 1.7531038877168232e-06, + "loss": 0.3545, + "step": 1355 + }, + { + "epoch": 1.83, + "learning_rate": 1.7496330351110892e-06, + "loss": 0.4366, + "step": 1356 + }, + { + "epoch": 1.83, + "learning_rate": 1.746163771301181e-06, + "loss": 0.4393, + "step": 1357 + }, + { + "epoch": 1.83, + "learning_rate": 1.742696103632773e-06, + "loss": 0.3883, + "step": 1358 + }, + { + "epoch": 1.83, + "learning_rate": 1.7392300394481599e-06, + "loss": 0.4283, + "step": 1359 + }, + { + "epoch": 1.83, + "learning_rate": 1.735765586086243e-06, + "loss": 0.4691, + "step": 1360 + }, + { + "epoch": 1.83, + "learning_rate": 1.7323027508825113e-06, + "loss": 0.4393, + "step": 1361 + }, + { + "epoch": 1.84, + "learning_rate": 1.7288415411690279e-06, + "loss": 0.3994, + "step": 1362 + }, + { + "epoch": 1.84, + "learning_rate": 1.7253819642744152e-06, + "loss": 0.4374, + "step": 1363 + }, + { + "epoch": 1.84, + "learning_rate": 1.721924027523837e-06, + "loss": 0.3741, + "step": 1364 + }, + { + "epoch": 1.84, + "learning_rate": 1.718467738238985e-06, + "loss": 0.4234, + "step": 1365 + }, + { + "epoch": 1.84, + "learning_rate": 1.7150131037380625e-06, + "loss": 0.5094, + "step": 1366 + }, + { + "epoch": 1.84, + "learning_rate": 1.7115601313357676e-06, + "loss": 0.385, + "step": 1367 + }, + { + "epoch": 1.84, + "learning_rate": 1.708108828343283e-06, + "loss": 0.4159, + "step": 1368 + }, + { + "epoch": 1.85, + "learning_rate": 1.7046592020682535e-06, + "loss": 0.489, + "step": 1369 + }, + { + "epoch": 1.85, + "learning_rate": 1.7012112598147735e-06, + "loss": 0.4706, + "step": 1370 + }, + { + "epoch": 1.85, + "learning_rate": 1.6977650088833734e-06, + "loss": 0.4072, + "step": 1371 + }, + { + "epoch": 1.85, + "learning_rate": 1.6943204565710013e-06, + "loss": 0.4062, + "step": 1372 + }, + { + "epoch": 1.85, + "learning_rate": 1.6908776101710093e-06, + "loss": 0.3712, + "step": 1373 + }, + { + "epoch": 1.85, + "learning_rate": 1.6874364769731372e-06, + "loss": 0.4434, + "step": 1374 + }, + { + "epoch": 1.85, + "learning_rate": 1.683997064263496e-06, + "loss": 0.4429, + "step": 1375 + }, + { + "epoch": 1.85, + "learning_rate": 1.680559379324558e-06, + "loss": 0.454, + "step": 1376 + }, + { + "epoch": 1.86, + "learning_rate": 1.6771234294351329e-06, + "loss": 0.4432, + "step": 1377 + }, + { + "epoch": 1.86, + "learning_rate": 1.6736892218703587e-06, + "loss": 0.4827, + "step": 1378 + }, + { + "epoch": 1.86, + "learning_rate": 1.6702567639016832e-06, + "loss": 0.4776, + "step": 1379 + }, + { + "epoch": 1.86, + "learning_rate": 1.6668260627968502e-06, + "loss": 0.3981, + "step": 1380 + }, + { + "epoch": 1.86, + "learning_rate": 1.6633971258198844e-06, + "loss": 0.4341, + "step": 1381 + }, + { + "epoch": 1.86, + "learning_rate": 1.6599699602310734e-06, + "loss": 0.33, + "step": 1382 + }, + { + "epoch": 1.86, + "learning_rate": 1.656544573286955e-06, + "loss": 0.4647, + "step": 1383 + }, + { + "epoch": 1.87, + "learning_rate": 1.653120972240303e-06, + "loss": 0.3995, + "step": 1384 + }, + { + "epoch": 1.87, + "learning_rate": 1.6496991643401064e-06, + "loss": 0.4336, + "step": 1385 + }, + { + "epoch": 1.87, + "learning_rate": 1.6462791568315598e-06, + "loss": 0.3827, + "step": 1386 + }, + { + "epoch": 1.87, + "learning_rate": 1.6428609569560444e-06, + "loss": 0.3673, + "step": 1387 + }, + { + "epoch": 1.87, + "learning_rate": 1.6394445719511148e-06, + "loss": 0.4206, + "step": 1388 + }, + { + "epoch": 1.87, + "learning_rate": 1.6360300090504827e-06, + "loss": 0.4567, + "step": 1389 + }, + { + "epoch": 1.87, + "learning_rate": 1.6326172754840011e-06, + "loss": 0.4162, + "step": 1390 + }, + { + "epoch": 1.87, + "learning_rate": 1.6292063784776508e-06, + "loss": 0.4132, + "step": 1391 + }, + { + "epoch": 1.88, + "learning_rate": 1.625797325253523e-06, + "loss": 0.3652, + "step": 1392 + }, + { + "epoch": 1.88, + "learning_rate": 1.6223901230298062e-06, + "loss": 0.4532, + "step": 1393 + }, + { + "epoch": 1.88, + "learning_rate": 1.618984779020768e-06, + "loss": 0.5863, + "step": 1394 + }, + { + "epoch": 1.88, + "learning_rate": 1.615581300436742e-06, + "loss": 0.4569, + "step": 1395 + }, + { + "epoch": 1.88, + "learning_rate": 1.612179694484113e-06, + "loss": 0.459, + "step": 1396 + }, + { + "epoch": 1.88, + "learning_rate": 1.6087799683653e-06, + "loss": 0.4132, + "step": 1397 + }, + { + "epoch": 1.88, + "learning_rate": 1.6053821292787414e-06, + "loss": 0.4546, + "step": 1398 + }, + { + "epoch": 1.89, + "learning_rate": 1.60198618441888e-06, + "loss": 0.4687, + "step": 1399 + }, + { + "epoch": 1.89, + "learning_rate": 1.598592140976149e-06, + "loss": 0.4461, + "step": 1400 + }, + { + "epoch": 1.89, + "learning_rate": 1.5952000061369555e-06, + "loss": 0.4115, + "step": 1401 + }, + { + "epoch": 1.89, + "learning_rate": 1.5918097870836642e-06, + "loss": 0.417, + "step": 1402 + }, + { + "epoch": 1.89, + "learning_rate": 1.588421490994584e-06, + "loss": 0.434, + "step": 1403 + }, + { + "epoch": 1.89, + "learning_rate": 1.5850351250439518e-06, + "loss": 0.431, + "step": 1404 + }, + { + "epoch": 1.89, + "learning_rate": 1.581650696401919e-06, + "loss": 0.448, + "step": 1405 + }, + { + "epoch": 1.89, + "learning_rate": 1.5782682122345333e-06, + "loss": 0.4634, + "step": 1406 + }, + { + "epoch": 1.9, + "learning_rate": 1.5748876797037258e-06, + "loss": 0.3814, + "step": 1407 + }, + { + "epoch": 1.9, + "learning_rate": 1.571509105967297e-06, + "loss": 0.4155, + "step": 1408 + }, + { + "epoch": 1.9, + "learning_rate": 1.5681324981788978e-06, + "loss": 0.4973, + "step": 1409 + }, + { + "epoch": 1.9, + "learning_rate": 1.5647578634880174e-06, + "loss": 0.4755, + "step": 1410 + }, + { + "epoch": 1.9, + "learning_rate": 1.5613852090399666e-06, + "loss": 0.4382, + "step": 1411 + }, + { + "epoch": 1.9, + "learning_rate": 1.5580145419758642e-06, + "loss": 0.4123, + "step": 1412 + }, + { + "epoch": 1.9, + "learning_rate": 1.55464586943262e-06, + "loss": 0.4475, + "step": 1413 + }, + { + "epoch": 1.91, + "learning_rate": 1.5512791985429214e-06, + "loss": 0.416, + "step": 1414 + }, + { + "epoch": 1.91, + "learning_rate": 1.5479145364352166e-06, + "loss": 0.4547, + "step": 1415 + }, + { + "epoch": 1.91, + "learning_rate": 1.5445518902337036e-06, + "loss": 0.401, + "step": 1416 + }, + { + "epoch": 1.91, + "learning_rate": 1.5411912670583084e-06, + "loss": 0.424, + "step": 1417 + }, + { + "epoch": 1.91, + "learning_rate": 1.5378326740246746e-06, + "loss": 0.3881, + "step": 1418 + }, + { + "epoch": 1.91, + "learning_rate": 1.5344761182441476e-06, + "loss": 0.4433, + "step": 1419 + }, + { + "epoch": 1.91, + "learning_rate": 1.5311216068237595e-06, + "loss": 0.4391, + "step": 1420 + }, + { + "epoch": 1.92, + "learning_rate": 1.5277691468662128e-06, + "loss": 0.4222, + "step": 1421 + }, + { + "epoch": 1.92, + "learning_rate": 1.5244187454698673e-06, + "loss": 0.4441, + "step": 1422 + }, + { + "epoch": 1.92, + "learning_rate": 1.5210704097287226e-06, + "loss": 0.392, + "step": 1423 + }, + { + "epoch": 1.92, + "learning_rate": 1.5177241467324078e-06, + "loss": 0.4134, + "step": 1424 + }, + { + "epoch": 1.92, + "learning_rate": 1.5143799635661593e-06, + "loss": 0.4725, + "step": 1425 + }, + { + "epoch": 1.92, + "learning_rate": 1.5110378673108124e-06, + "loss": 0.432, + "step": 1426 + }, + { + "epoch": 1.92, + "learning_rate": 1.5076978650427825e-06, + "loss": 0.4734, + "step": 1427 + }, + { + "epoch": 1.92, + "learning_rate": 1.5043599638340512e-06, + "loss": 0.4391, + "step": 1428 + }, + { + "epoch": 1.93, + "learning_rate": 1.5010241707521529e-06, + "loss": 0.4646, + "step": 1429 + }, + { + "epoch": 1.93, + "learning_rate": 1.497690492860156e-06, + "loss": 0.4466, + "step": 1430 + }, + { + "epoch": 1.93, + "learning_rate": 1.4943589372166516e-06, + "loss": 0.4918, + "step": 1431 + }, + { + "epoch": 1.93, + "learning_rate": 1.4910295108757384e-06, + "loss": 0.4104, + "step": 1432 + }, + { + "epoch": 1.93, + "learning_rate": 1.487702220887004e-06, + "loss": 0.507, + "step": 1433 + }, + { + "epoch": 1.93, + "learning_rate": 1.484377074295515e-06, + "loss": 0.3549, + "step": 1434 + }, + { + "epoch": 1.93, + "learning_rate": 1.4810540781417981e-06, + "loss": 0.4701, + "step": 1435 + }, + { + "epoch": 1.94, + "learning_rate": 1.4777332394618272e-06, + "loss": 0.4723, + "step": 1436 + }, + { + "epoch": 1.94, + "learning_rate": 1.4744145652870078e-06, + "loss": 0.4215, + "step": 1437 + }, + { + "epoch": 1.94, + "learning_rate": 1.4710980626441634e-06, + "loss": 0.4522, + "step": 1438 + }, + { + "epoch": 1.94, + "learning_rate": 1.4677837385555177e-06, + "loss": 0.4207, + "step": 1439 + }, + { + "epoch": 1.94, + "learning_rate": 1.464471600038684e-06, + "loss": 0.4506, + "step": 1440 + }, + { + "epoch": 1.94, + "learning_rate": 1.4611616541066464e-06, + "loss": 0.4295, + "step": 1441 + }, + { + "epoch": 1.94, + "learning_rate": 1.4578539077677469e-06, + "loss": 0.3924, + "step": 1442 + }, + { + "epoch": 1.94, + "learning_rate": 1.4545483680256705e-06, + "loss": 0.3635, + "step": 1443 + }, + { + "epoch": 1.95, + "learning_rate": 1.451245041879428e-06, + "loss": 0.4573, + "step": 1444 + }, + { + "epoch": 1.95, + "learning_rate": 1.447943936323346e-06, + "loss": 0.4079, + "step": 1445 + }, + { + "epoch": 1.95, + "learning_rate": 1.4446450583470492e-06, + "loss": 0.4148, + "step": 1446 + }, + { + "epoch": 1.95, + "learning_rate": 1.4413484149354428e-06, + "loss": 0.3857, + "step": 1447 + }, + { + "epoch": 1.95, + "learning_rate": 1.4380540130687033e-06, + "loss": 0.4654, + "step": 1448 + }, + { + "epoch": 1.95, + "learning_rate": 1.4347618597222619e-06, + "loss": 0.4099, + "step": 1449 + }, + { + "epoch": 1.95, + "learning_rate": 1.4314719618667843e-06, + "loss": 0.4465, + "step": 1450 + }, + { + "epoch": 1.96, + "learning_rate": 1.4281843264681655e-06, + "loss": 0.4699, + "step": 1451 + }, + { + "epoch": 1.96, + "learning_rate": 1.4248989604875083e-06, + "loss": 0.477, + "step": 1452 + }, + { + "epoch": 1.96, + "learning_rate": 1.4216158708811085e-06, + "loss": 0.468, + "step": 1453 + }, + { + "epoch": 1.96, + "learning_rate": 1.4183350646004451e-06, + "loss": 0.391, + "step": 1454 + }, + { + "epoch": 1.96, + "learning_rate": 1.4150565485921586e-06, + "loss": 0.431, + "step": 1455 + }, + { + "epoch": 1.96, + "learning_rate": 1.4117803297980464e-06, + "loss": 0.4602, + "step": 1456 + }, + { + "epoch": 1.96, + "learning_rate": 1.4085064151550348e-06, + "loss": 0.3924, + "step": 1457 + }, + { + "epoch": 1.96, + "learning_rate": 1.4052348115951765e-06, + "loss": 0.4824, + "step": 1458 + }, + { + "epoch": 1.97, + "learning_rate": 1.401965526045627e-06, + "loss": 0.4009, + "step": 1459 + }, + { + "epoch": 1.97, + "learning_rate": 1.3986985654286379e-06, + "loss": 0.43, + "step": 1460 + }, + { + "epoch": 1.97, + "learning_rate": 1.3954339366615335e-06, + "loss": 0.383, + "step": 1461 + }, + { + "epoch": 1.97, + "learning_rate": 1.3921716466567053e-06, + "loss": 0.363, + "step": 1462 + }, + { + "epoch": 1.97, + "learning_rate": 1.3889117023215875e-06, + "loss": 0.4622, + "step": 1463 + }, + { + "epoch": 1.97, + "learning_rate": 1.3856541105586545e-06, + "loss": 0.4295, + "step": 1464 + }, + { + "epoch": 1.97, + "learning_rate": 1.382398878265393e-06, + "loss": 0.3964, + "step": 1465 + }, + { + "epoch": 1.98, + "learning_rate": 1.3791460123342986e-06, + "loss": 0.4217, + "step": 1466 + }, + { + "epoch": 1.98, + "learning_rate": 1.3758955196528523e-06, + "loss": 0.3871, + "step": 1467 + }, + { + "epoch": 1.98, + "learning_rate": 1.3726474071035145e-06, + "loss": 0.4316, + "step": 1468 + }, + { + "epoch": 1.98, + "learning_rate": 1.3694016815637013e-06, + "loss": 0.4941, + "step": 1469 + }, + { + "epoch": 1.98, + "learning_rate": 1.366158349905779e-06, + "loss": 0.4727, + "step": 1470 + }, + { + "epoch": 1.98, + "learning_rate": 1.3629174189970408e-06, + "loss": 0.3933, + "step": 1471 + }, + { + "epoch": 1.98, + "learning_rate": 1.3596788956997022e-06, + "loss": 0.3921, + "step": 1472 + }, + { + "epoch": 1.99, + "learning_rate": 1.3564427868708757e-06, + "loss": 0.4915, + "step": 1473 + }, + { + "epoch": 1.99, + "learning_rate": 1.3532090993625654e-06, + "loss": 0.4235, + "step": 1474 + }, + { + "epoch": 1.99, + "learning_rate": 1.3499778400216447e-06, + "loss": 0.4763, + "step": 1475 + }, + { + "epoch": 1.99, + "learning_rate": 1.3467490156898499e-06, + "loss": 0.5063, + "step": 1476 + }, + { + "epoch": 1.99, + "learning_rate": 1.3435226332037576e-06, + "loss": 0.4183, + "step": 1477 + }, + { + "epoch": 1.99, + "learning_rate": 1.340298699394777e-06, + "loss": 0.4074, + "step": 1478 + }, + { + "epoch": 1.99, + "learning_rate": 1.337077221089131e-06, + "loss": 0.3596, + "step": 1479 + }, + { + "epoch": 1.99, + "learning_rate": 1.3338582051078455e-06, + "loss": 0.4126, + "step": 1480 + }, + { + "epoch": 2.0, + "learning_rate": 1.3306416582667287e-06, + "loss": 0.4672, + "step": 1481 + }, + { + "epoch": 2.0, + "learning_rate": 1.3274275873763655e-06, + "loss": 0.3739, + "step": 1482 + }, + { + "epoch": 2.0, + "learning_rate": 1.3242159992420942e-06, + "loss": 0.3943, + "step": 1483 + }, + { + "epoch": 2.0, + "learning_rate": 1.3210069006639986e-06, + "loss": 0.5189, + "step": 1484 + }, + { + "epoch": 2.0, + "learning_rate": 1.3178002984368917e-06, + "loss": 0.415, + "step": 1485 + }, + { + "epoch": 2.0, + "learning_rate": 1.314596199350298e-06, + "loss": 0.4155, + "step": 1486 + }, + { + "epoch": 2.0, + "learning_rate": 1.3113946101884445e-06, + "loss": 0.3763, + "step": 1487 + }, + { + "epoch": 2.01, + "learning_rate": 1.3081955377302434e-06, + "loss": 0.4214, + "step": 1488 + }, + { + "epoch": 2.01, + "learning_rate": 1.3049989887492787e-06, + "loss": 0.4952, + "step": 1489 + }, + { + "epoch": 2.01, + "learning_rate": 1.301804970013788e-06, + "loss": 0.4453, + "step": 1490 + }, + { + "epoch": 2.01, + "learning_rate": 1.2986134882866558e-06, + "loss": 0.4399, + "step": 1491 + }, + { + "epoch": 2.01, + "learning_rate": 1.2954245503253915e-06, + "loss": 0.4269, + "step": 1492 + }, + { + "epoch": 2.01, + "learning_rate": 1.2922381628821213e-06, + "loss": 0.3877, + "step": 1493 + }, + { + "epoch": 2.01, + "learning_rate": 1.2890543327035674e-06, + "loss": 0.4278, + "step": 1494 + }, + { + "epoch": 2.01, + "learning_rate": 1.285873066531041e-06, + "loss": 0.4079, + "step": 1495 + }, + { + "epoch": 2.02, + "learning_rate": 1.2826943711004221e-06, + "loss": 0.3837, + "step": 1496 + }, + { + "epoch": 2.02, + "learning_rate": 1.2795182531421502e-06, + "loss": 0.5166, + "step": 1497 + }, + { + "epoch": 2.02, + "learning_rate": 1.2763447193812032e-06, + "loss": 0.3971, + "step": 1498 + }, + { + "epoch": 2.02, + "learning_rate": 1.273173776537091e-06, + "loss": 0.398, + "step": 1499 + }, + { + "epoch": 2.02, + "learning_rate": 1.2700054313238353e-06, + "loss": 0.3977, + "step": 1500 + }, + { + "epoch": 2.02, + "learning_rate": 1.2668396904499594e-06, + "loss": 0.447, + "step": 1501 + }, + { + "epoch": 2.02, + "learning_rate": 1.26367656061847e-06, + "loss": 0.3649, + "step": 1502 + }, + { + "epoch": 2.03, + "learning_rate": 1.260516048526848e-06, + "loss": 0.3801, + "step": 1503 + }, + { + "epoch": 2.03, + "learning_rate": 1.25735816086703e-06, + "loss": 0.4001, + "step": 1504 + }, + { + "epoch": 2.03, + "learning_rate": 1.2542029043253968e-06, + "loss": 0.4116, + "step": 1505 + }, + { + "epoch": 2.03, + "learning_rate": 1.251050285582756e-06, + "loss": 0.3741, + "step": 1506 + }, + { + "epoch": 2.03, + "learning_rate": 1.2479003113143332e-06, + "loss": 0.4671, + "step": 1507 + }, + { + "epoch": 2.03, + "learning_rate": 1.2447529881897513e-06, + "loss": 0.3871, + "step": 1508 + }, + { + "epoch": 2.03, + "learning_rate": 1.2416083228730231e-06, + "loss": 0.3727, + "step": 1509 + }, + { + "epoch": 2.04, + "learning_rate": 1.2384663220225303e-06, + "loss": 0.3971, + "step": 1510 + }, + { + "epoch": 2.04, + "learning_rate": 1.2353269922910163e-06, + "loss": 0.3569, + "step": 1511 + }, + { + "epoch": 2.04, + "learning_rate": 1.2321903403255672e-06, + "loss": 0.3828, + "step": 1512 + }, + { + "epoch": 2.04, + "learning_rate": 1.2290563727676003e-06, + "loss": 0.4368, + "step": 1513 + }, + { + "epoch": 2.04, + "learning_rate": 1.2259250962528463e-06, + "loss": 0.4355, + "step": 1514 + }, + { + "epoch": 2.04, + "learning_rate": 1.222796517411342e-06, + "loss": 0.3636, + "step": 1515 + }, + { + "epoch": 2.04, + "learning_rate": 1.2196706428674085e-06, + "loss": 0.425, + "step": 1516 + }, + { + "epoch": 2.04, + "learning_rate": 1.2165474792396433e-06, + "loss": 0.3949, + "step": 1517 + }, + { + "epoch": 2.05, + "learning_rate": 1.2134270331409046e-06, + "loss": 0.351, + "step": 1518 + }, + { + "epoch": 2.05, + "learning_rate": 1.2103093111782927e-06, + "loss": 0.3733, + "step": 1519 + }, + { + "epoch": 2.05, + "learning_rate": 1.2071943199531438e-06, + "loss": 0.3345, + "step": 1520 + }, + { + "epoch": 2.05, + "learning_rate": 1.2040820660610111e-06, + "loss": 0.3752, + "step": 1521 + }, + { + "epoch": 2.05, + "learning_rate": 1.2009725560916523e-06, + "loss": 0.3712, + "step": 1522 + }, + { + "epoch": 2.05, + "learning_rate": 1.197865796629013e-06, + "loss": 0.4647, + "step": 1523 + }, + { + "epoch": 2.05, + "learning_rate": 1.194761794251218e-06, + "loss": 0.3601, + "step": 1524 + }, + { + "epoch": 2.06, + "learning_rate": 1.1916605555305513e-06, + "loss": 0.4835, + "step": 1525 + }, + { + "epoch": 2.06, + "learning_rate": 1.1885620870334489e-06, + "loss": 0.3474, + "step": 1526 + }, + { + "epoch": 2.06, + "learning_rate": 1.1854663953204763e-06, + "loss": 0.3765, + "step": 1527 + }, + { + "epoch": 2.06, + "learning_rate": 1.1823734869463258e-06, + "loss": 0.3766, + "step": 1528 + }, + { + "epoch": 2.06, + "learning_rate": 1.1792833684597908e-06, + "loss": 0.4251, + "step": 1529 + }, + { + "epoch": 2.06, + "learning_rate": 1.176196046403761e-06, + "loss": 0.3361, + "step": 1530 + }, + { + "epoch": 2.06, + "learning_rate": 1.173111527315203e-06, + "loss": 0.4284, + "step": 1531 + }, + { + "epoch": 2.06, + "learning_rate": 1.17002981772515e-06, + "loss": 0.3411, + "step": 1532 + }, + { + "epoch": 2.07, + "learning_rate": 1.166950924158685e-06, + "loss": 0.3789, + "step": 1533 + }, + { + "epoch": 2.07, + "learning_rate": 1.1638748531349304e-06, + "loss": 0.3356, + "step": 1534 + }, + { + "epoch": 2.07, + "learning_rate": 1.1608016111670283e-06, + "loss": 0.3515, + "step": 1535 + }, + { + "epoch": 2.07, + "learning_rate": 1.1577312047621379e-06, + "loss": 0.3193, + "step": 1536 + }, + { + "epoch": 2.07, + "learning_rate": 1.1546636404214065e-06, + "loss": 0.3463, + "step": 1537 + }, + { + "epoch": 2.07, + "learning_rate": 1.1515989246399698e-06, + "loss": 0.3104, + "step": 1538 + }, + { + "epoch": 2.07, + "learning_rate": 1.1485370639069277e-06, + "loss": 0.2797, + "step": 1539 + }, + { + "epoch": 2.08, + "learning_rate": 1.1454780647053384e-06, + "loss": 0.3332, + "step": 1540 + }, + { + "epoch": 2.08, + "learning_rate": 1.1424219335121984e-06, + "loss": 0.3863, + "step": 1541 + }, + { + "epoch": 2.08, + "learning_rate": 1.1393686767984337e-06, + "loss": 0.3056, + "step": 1542 + }, + { + "epoch": 2.08, + "learning_rate": 1.1363183010288817e-06, + "loss": 0.3442, + "step": 1543 + }, + { + "epoch": 2.08, + "learning_rate": 1.133270812662284e-06, + "loss": 0.3813, + "step": 1544 + }, + { + "epoch": 2.08, + "learning_rate": 1.1302262181512632e-06, + "loss": 0.3242, + "step": 1545 + }, + { + "epoch": 2.08, + "learning_rate": 1.1271845239423196e-06, + "loss": 0.4025, + "step": 1546 + }, + { + "epoch": 2.08, + "learning_rate": 1.1241457364758075e-06, + "loss": 0.3632, + "step": 1547 + }, + { + "epoch": 2.09, + "learning_rate": 1.1211098621859315e-06, + "loss": 0.3579, + "step": 1548 + }, + { + "epoch": 2.09, + "learning_rate": 1.1180769075007237e-06, + "loss": 0.317, + "step": 1549 + }, + { + "epoch": 2.09, + "learning_rate": 1.1150468788420369e-06, + "loss": 0.361, + "step": 1550 + }, + { + "epoch": 2.09, + "learning_rate": 1.1120197826255282e-06, + "loss": 0.389, + "step": 1551 + }, + { + "epoch": 2.09, + "learning_rate": 1.1089956252606464e-06, + "loss": 0.3603, + "step": 1552 + }, + { + "epoch": 2.09, + "learning_rate": 1.1059744131506144e-06, + "loss": 0.3659, + "step": 1553 + }, + { + "epoch": 2.09, + "learning_rate": 1.1029561526924232e-06, + "loss": 0.3563, + "step": 1554 + }, + { + "epoch": 2.1, + "learning_rate": 1.0999408502768102e-06, + "loss": 0.3663, + "step": 1555 + }, + { + "epoch": 2.1, + "learning_rate": 1.0969285122882522e-06, + "loss": 0.3586, + "step": 1556 + }, + { + "epoch": 2.1, + "learning_rate": 1.0939191451049494e-06, + "loss": 0.3603, + "step": 1557 + }, + { + "epoch": 2.1, + "learning_rate": 1.0909127550988092e-06, + "loss": 0.3339, + "step": 1558 + }, + { + "epoch": 2.1, + "learning_rate": 1.0879093486354376e-06, + "loss": 0.37, + "step": 1559 + }, + { + "epoch": 2.1, + "learning_rate": 1.0849089320741224e-06, + "loss": 0.3526, + "step": 1560 + }, + { + "epoch": 2.1, + "learning_rate": 1.081911511767822e-06, + "loss": 0.3319, + "step": 1561 + }, + { + "epoch": 2.11, + "learning_rate": 1.078917094063148e-06, + "loss": 0.3549, + "step": 1562 + }, + { + "epoch": 2.11, + "learning_rate": 1.0759256853003577e-06, + "loss": 0.3266, + "step": 1563 + }, + { + "epoch": 2.11, + "learning_rate": 1.0729372918133335e-06, + "loss": 0.287, + "step": 1564 + }, + { + "epoch": 2.11, + "learning_rate": 1.0699519199295779e-06, + "loss": 0.3062, + "step": 1565 + }, + { + "epoch": 2.11, + "learning_rate": 1.066969575970191e-06, + "loss": 0.3652, + "step": 1566 + }, + { + "epoch": 2.11, + "learning_rate": 1.0639902662498656e-06, + "loss": 0.3548, + "step": 1567 + }, + { + "epoch": 2.11, + "learning_rate": 1.0610139970768671e-06, + "loss": 0.3658, + "step": 1568 + }, + { + "epoch": 2.11, + "learning_rate": 1.058040774753026e-06, + "loss": 0.3492, + "step": 1569 + }, + { + "epoch": 2.12, + "learning_rate": 1.0550706055737175e-06, + "loss": 0.3395, + "step": 1570 + }, + { + "epoch": 2.12, + "learning_rate": 1.052103495827856e-06, + "loss": 0.3607, + "step": 1571 + }, + { + "epoch": 2.12, + "learning_rate": 1.0491394517978753e-06, + "loss": 0.37, + "step": 1572 + }, + { + "epoch": 2.12, + "learning_rate": 1.0461784797597202e-06, + "loss": 0.3543, + "step": 1573 + }, + { + "epoch": 2.12, + "learning_rate": 1.0432205859828283e-06, + "loss": 0.3774, + "step": 1574 + }, + { + "epoch": 2.12, + "learning_rate": 1.0402657767301214e-06, + "loss": 0.3533, + "step": 1575 + }, + { + "epoch": 2.12, + "learning_rate": 1.0373140582579901e-06, + "loss": 0.3465, + "step": 1576 + }, + { + "epoch": 2.13, + "learning_rate": 1.0343654368162814e-06, + "loss": 0.3519, + "step": 1577 + }, + { + "epoch": 2.13, + "learning_rate": 1.031419918648282e-06, + "loss": 0.35, + "step": 1578 + }, + { + "epoch": 2.13, + "learning_rate": 1.0284775099907116e-06, + "loss": 0.3454, + "step": 1579 + }, + { + "epoch": 2.13, + "learning_rate": 1.0255382170737016e-06, + "loss": 0.3256, + "step": 1580 + }, + { + "epoch": 2.13, + "learning_rate": 1.022602046120791e-06, + "loss": 0.3334, + "step": 1581 + }, + { + "epoch": 2.13, + "learning_rate": 1.0196690033489044e-06, + "loss": 0.3217, + "step": 1582 + }, + { + "epoch": 2.13, + "learning_rate": 1.016739094968345e-06, + "loss": 0.2911, + "step": 1583 + }, + { + "epoch": 2.13, + "learning_rate": 1.0138123271827796e-06, + "loss": 0.353, + "step": 1584 + }, + { + "epoch": 2.14, + "learning_rate": 1.0108887061892253e-06, + "loss": 0.3536, + "step": 1585 + }, + { + "epoch": 2.14, + "learning_rate": 1.007968238178034e-06, + "loss": 0.3455, + "step": 1586 + }, + { + "epoch": 2.14, + "learning_rate": 1.0050509293328847e-06, + "loss": 0.3399, + "step": 1587 + }, + { + "epoch": 2.14, + "learning_rate": 1.0021367858307649e-06, + "loss": 0.3804, + "step": 1588 + }, + { + "epoch": 2.14, + "learning_rate": 9.992258138419612e-07, + "loss": 0.3714, + "step": 1589 + }, + { + "epoch": 2.14, + "learning_rate": 9.963180195300456e-07, + "loss": 0.3689, + "step": 1590 + }, + { + "epoch": 2.14, + "learning_rate": 9.934134090518593e-07, + "loss": 0.331, + "step": 1591 + }, + { + "epoch": 2.15, + "learning_rate": 9.905119885575048e-07, + "loss": 0.3614, + "step": 1592 + }, + { + "epoch": 2.15, + "learning_rate": 9.876137641903292e-07, + "loss": 0.3573, + "step": 1593 + }, + { + "epoch": 2.15, + "learning_rate": 9.84718742086913e-07, + "loss": 0.3363, + "step": 1594 + }, + { + "epoch": 2.15, + "learning_rate": 9.818269283770543e-07, + "loss": 0.3807, + "step": 1595 + }, + { + "epoch": 2.15, + "learning_rate": 9.78938329183761e-07, + "loss": 0.3817, + "step": 1596 + }, + { + "epoch": 2.15, + "learning_rate": 9.760529506232306e-07, + "loss": 0.2725, + "step": 1597 + }, + { + "epoch": 2.15, + "learning_rate": 9.73170798804846e-07, + "loss": 0.3185, + "step": 1598 + }, + { + "epoch": 2.15, + "learning_rate": 9.702918798311531e-07, + "loss": 0.374, + "step": 1599 + }, + { + "epoch": 2.16, + "learning_rate": 9.674161997978585e-07, + "loss": 0.3901, + "step": 1600 + }, + { + "epoch": 2.16, + "learning_rate": 9.645437647938052e-07, + "loss": 0.3532, + "step": 1601 + }, + { + "epoch": 2.16, + "learning_rate": 9.616745809009692e-07, + "loss": 0.366, + "step": 1602 + }, + { + "epoch": 2.16, + "learning_rate": 9.588086541944399e-07, + "loss": 0.3428, + "step": 1603 + }, + { + "epoch": 2.16, + "learning_rate": 9.559459907424127e-07, + "loss": 0.3116, + "step": 1604 + }, + { + "epoch": 2.16, + "learning_rate": 9.530865966061709e-07, + "loss": 0.3538, + "step": 1605 + }, + { + "epoch": 2.16, + "learning_rate": 9.502304778400778e-07, + "loss": 0.3742, + "step": 1606 + }, + { + "epoch": 2.17, + "learning_rate": 9.473776404915589e-07, + "loss": 0.3639, + "step": 1607 + }, + { + "epoch": 2.17, + "learning_rate": 9.445280906010965e-07, + "loss": 0.3308, + "step": 1608 + }, + { + "epoch": 2.17, + "learning_rate": 9.41681834202206e-07, + "loss": 0.3458, + "step": 1609 + }, + { + "epoch": 2.17, + "learning_rate": 9.388388773214349e-07, + "loss": 0.3155, + "step": 1610 + }, + { + "epoch": 2.17, + "learning_rate": 9.359992259783402e-07, + "loss": 0.3611, + "step": 1611 + }, + { + "epoch": 2.17, + "learning_rate": 9.331628861854827e-07, + "loss": 0.3256, + "step": 1612 + }, + { + "epoch": 2.17, + "learning_rate": 9.30329863948409e-07, + "loss": 0.3581, + "step": 1613 + }, + { + "epoch": 2.18, + "learning_rate": 9.275001652656445e-07, + "loss": 0.3184, + "step": 1614 + }, + { + "epoch": 2.18, + "learning_rate": 9.246737961286731e-07, + "loss": 0.3584, + "step": 1615 + }, + { + "epoch": 2.18, + "learning_rate": 9.218507625219344e-07, + "loss": 0.3198, + "step": 1616 + }, + { + "epoch": 2.18, + "learning_rate": 9.190310704228004e-07, + "loss": 0.2998, + "step": 1617 + }, + { + "epoch": 2.18, + "learning_rate": 9.162147258015707e-07, + "loss": 0.3359, + "step": 1618 + }, + { + "epoch": 2.18, + "learning_rate": 9.134017346214557e-07, + "loss": 0.3488, + "step": 1619 + }, + { + "epoch": 2.18, + "learning_rate": 9.105921028385672e-07, + "loss": 0.3836, + "step": 1620 + }, + { + "epoch": 2.18, + "learning_rate": 9.077858364019012e-07, + "loss": 0.3782, + "step": 1621 + }, + { + "epoch": 2.19, + "learning_rate": 9.049829412533304e-07, + "loss": 0.3257, + "step": 1622 + }, + { + "epoch": 2.19, + "learning_rate": 9.021834233275883e-07, + "loss": 0.3094, + "step": 1623 + }, + { + "epoch": 2.19, + "learning_rate": 8.993872885522592e-07, + "loss": 0.4357, + "step": 1624 + }, + { + "epoch": 2.19, + "learning_rate": 8.965945428477605e-07, + "loss": 0.3376, + "step": 1625 + }, + { + "epoch": 2.19, + "learning_rate": 8.938051921273366e-07, + "loss": 0.3303, + "step": 1626 + }, + { + "epoch": 2.19, + "learning_rate": 8.910192422970442e-07, + "loss": 0.3009, + "step": 1627 + }, + { + "epoch": 2.19, + "learning_rate": 8.882366992557356e-07, + "loss": 0.3453, + "step": 1628 + }, + { + "epoch": 2.2, + "learning_rate": 8.854575688950534e-07, + "loss": 0.3274, + "step": 1629 + }, + { + "epoch": 2.2, + "learning_rate": 8.826818570994114e-07, + "loss": 0.3814, + "step": 1630 + }, + { + "epoch": 2.2, + "learning_rate": 8.799095697459869e-07, + "loss": 0.338, + "step": 1631 + }, + { + "epoch": 2.2, + "learning_rate": 8.771407127047063e-07, + "loss": 0.3598, + "step": 1632 + }, + { + "epoch": 2.2, + "learning_rate": 8.743752918382328e-07, + "loss": 0.3387, + "step": 1633 + }, + { + "epoch": 2.2, + "learning_rate": 8.716133130019522e-07, + "loss": 0.2798, + "step": 1634 + }, + { + "epoch": 2.2, + "learning_rate": 8.688547820439652e-07, + "loss": 0.3711, + "step": 1635 + }, + { + "epoch": 2.2, + "learning_rate": 8.660997048050693e-07, + "loss": 0.415, + "step": 1636 + }, + { + "epoch": 2.21, + "learning_rate": 8.633480871187516e-07, + "loss": 0.4176, + "step": 1637 + }, + { + "epoch": 2.21, + "learning_rate": 8.60599934811172e-07, + "loss": 0.3457, + "step": 1638 + }, + { + "epoch": 2.21, + "learning_rate": 8.578552537011545e-07, + "loss": 0.3382, + "step": 1639 + }, + { + "epoch": 2.21, + "learning_rate": 8.551140496001728e-07, + "loss": 0.3403, + "step": 1640 + }, + { + "epoch": 2.21, + "learning_rate": 8.523763283123393e-07, + "loss": 0.41, + "step": 1641 + }, + { + "epoch": 2.21, + "learning_rate": 8.496420956343898e-07, + "loss": 0.3707, + "step": 1642 + }, + { + "epoch": 2.21, + "learning_rate": 8.469113573556764e-07, + "loss": 0.3905, + "step": 1643 + }, + { + "epoch": 2.22, + "learning_rate": 8.441841192581493e-07, + "loss": 0.3992, + "step": 1644 + }, + { + "epoch": 2.22, + "learning_rate": 8.41460387116351e-07, + "loss": 0.3567, + "step": 1645 + }, + { + "epoch": 2.22, + "learning_rate": 8.387401666973966e-07, + "loss": 0.3141, + "step": 1646 + }, + { + "epoch": 2.22, + "learning_rate": 8.360234637609688e-07, + "loss": 0.3038, + "step": 1647 + }, + { + "epoch": 2.22, + "learning_rate": 8.333102840593016e-07, + "loss": 0.343, + "step": 1648 + }, + { + "epoch": 2.22, + "learning_rate": 8.306006333371694e-07, + "loss": 0.3606, + "step": 1649 + }, + { + "epoch": 2.22, + "learning_rate": 8.278945173318729e-07, + "loss": 0.3351, + "step": 1650 + }, + { + "epoch": 2.23, + "learning_rate": 8.25191941773231e-07, + "loss": 0.2797, + "step": 1651 + }, + { + "epoch": 2.23, + "learning_rate": 8.224929123835632e-07, + "loss": 0.4494, + "step": 1652 + }, + { + "epoch": 2.23, + "learning_rate": 8.197974348776838e-07, + "loss": 0.3939, + "step": 1653 + }, + { + "epoch": 2.23, + "learning_rate": 8.171055149628834e-07, + "loss": 0.39, + "step": 1654 + }, + { + "epoch": 2.23, + "learning_rate": 8.144171583389218e-07, + "loss": 0.3693, + "step": 1655 + }, + { + "epoch": 2.23, + "learning_rate": 8.11732370698014e-07, + "loss": 0.3414, + "step": 1656 + }, + { + "epoch": 2.23, + "learning_rate": 8.090511577248183e-07, + "loss": 0.405, + "step": 1657 + }, + { + "epoch": 2.23, + "learning_rate": 8.063735250964222e-07, + "loss": 0.355, + "step": 1658 + }, + { + "epoch": 2.24, + "learning_rate": 8.036994784823343e-07, + "loss": 0.2873, + "step": 1659 + }, + { + "epoch": 2.24, + "learning_rate": 8.010290235444706e-07, + "loss": 0.3461, + "step": 1660 + }, + { + "epoch": 2.24, + "learning_rate": 7.983621659371401e-07, + "loss": 0.3377, + "step": 1661 + }, + { + "epoch": 2.24, + "learning_rate": 7.956989113070376e-07, + "loss": 0.3438, + "step": 1662 + }, + { + "epoch": 2.24, + "learning_rate": 7.930392652932262e-07, + "loss": 0.3228, + "step": 1663 + }, + { + "epoch": 2.24, + "learning_rate": 7.903832335271306e-07, + "loss": 0.3615, + "step": 1664 + }, + { + "epoch": 2.24, + "learning_rate": 7.877308216325222e-07, + "loss": 0.341, + "step": 1665 + }, + { + "epoch": 2.25, + "learning_rate": 7.850820352255081e-07, + "loss": 0.3088, + "step": 1666 + }, + { + "epoch": 2.25, + "learning_rate": 7.824368799145176e-07, + "loss": 0.3612, + "step": 1667 + }, + { + "epoch": 2.25, + "learning_rate": 7.797953613002937e-07, + "loss": 0.4216, + "step": 1668 + }, + { + "epoch": 2.25, + "learning_rate": 7.77157484975877e-07, + "loss": 0.3849, + "step": 1669 + }, + { + "epoch": 2.25, + "learning_rate": 7.745232565265984e-07, + "loss": 0.3215, + "step": 1670 + }, + { + "epoch": 2.25, + "learning_rate": 7.718926815300611e-07, + "loss": 0.3857, + "step": 1671 + }, + { + "epoch": 2.25, + "learning_rate": 7.692657655561392e-07, + "loss": 0.4363, + "step": 1672 + }, + { + "epoch": 2.25, + "learning_rate": 7.666425141669526e-07, + "loss": 0.3265, + "step": 1673 + }, + { + "epoch": 2.26, + "learning_rate": 7.640229329168663e-07, + "loss": 0.35, + "step": 1674 + }, + { + "epoch": 2.26, + "learning_rate": 7.614070273524713e-07, + "loss": 0.2949, + "step": 1675 + }, + { + "epoch": 2.26, + "learning_rate": 7.587948030125789e-07, + "loss": 0.3765, + "step": 1676 + }, + { + "epoch": 2.26, + "learning_rate": 7.561862654282026e-07, + "loss": 0.3786, + "step": 1677 + }, + { + "epoch": 2.26, + "learning_rate": 7.535814201225533e-07, + "loss": 0.3785, + "step": 1678 + }, + { + "epoch": 2.26, + "learning_rate": 7.509802726110196e-07, + "loss": 0.401, + "step": 1679 + }, + { + "epoch": 2.26, + "learning_rate": 7.483828284011665e-07, + "loss": 0.3658, + "step": 1680 + }, + { + "epoch": 2.27, + "learning_rate": 7.45789092992712e-07, + "loss": 0.3481, + "step": 1681 + }, + { + "epoch": 2.27, + "learning_rate": 7.43199071877525e-07, + "loss": 0.3239, + "step": 1682 + }, + { + "epoch": 2.27, + "learning_rate": 7.406127705396074e-07, + "loss": 0.3339, + "step": 1683 + }, + { + "epoch": 2.27, + "learning_rate": 7.380301944550872e-07, + "loss": 0.3779, + "step": 1684 + }, + { + "epoch": 2.27, + "learning_rate": 7.354513490922024e-07, + "loss": 0.3913, + "step": 1685 + }, + { + "epoch": 2.27, + "learning_rate": 7.328762399112949e-07, + "loss": 0.3437, + "step": 1686 + }, + { + "epoch": 2.27, + "learning_rate": 7.30304872364791e-07, + "loss": 0.3455, + "step": 1687 + }, + { + "epoch": 2.27, + "learning_rate": 7.277372518972007e-07, + "loss": 0.406, + "step": 1688 + }, + { + "epoch": 2.28, + "learning_rate": 7.251733839450944e-07, + "loss": 0.3332, + "step": 1689 + }, + { + "epoch": 2.28, + "learning_rate": 7.226132739371014e-07, + "loss": 0.4082, + "step": 1690 + }, + { + "epoch": 2.28, + "learning_rate": 7.200569272938906e-07, + "loss": 0.3885, + "step": 1691 + }, + { + "epoch": 2.28, + "learning_rate": 7.17504349428165e-07, + "loss": 0.3434, + "step": 1692 + }, + { + "epoch": 2.28, + "learning_rate": 7.149555457446472e-07, + "loss": 0.3673, + "step": 1693 + }, + { + "epoch": 2.28, + "learning_rate": 7.124105216400673e-07, + "loss": 0.3855, + "step": 1694 + }, + { + "epoch": 2.28, + "learning_rate": 7.098692825031539e-07, + "loss": 0.3622, + "step": 1695 + }, + { + "epoch": 2.29, + "learning_rate": 7.073318337146217e-07, + "loss": 0.3895, + "step": 1696 + }, + { + "epoch": 2.29, + "learning_rate": 7.047981806471585e-07, + "loss": 0.3974, + "step": 1697 + }, + { + "epoch": 2.29, + "learning_rate": 7.022683286654161e-07, + "loss": 0.3628, + "step": 1698 + }, + { + "epoch": 2.29, + "learning_rate": 6.997422831259992e-07, + "loss": 0.3997, + "step": 1699 + }, + { + "epoch": 2.29, + "learning_rate": 6.972200493774495e-07, + "loss": 0.3719, + "step": 1700 + }, + { + "epoch": 2.29, + "learning_rate": 6.947016327602421e-07, + "loss": 0.3296, + "step": 1701 + }, + { + "epoch": 2.29, + "learning_rate": 6.921870386067656e-07, + "loss": 0.3511, + "step": 1702 + }, + { + "epoch": 2.3, + "learning_rate": 6.896762722413184e-07, + "loss": 0.3936, + "step": 1703 + }, + { + "epoch": 2.3, + "learning_rate": 6.871693389800924e-07, + "loss": 0.3607, + "step": 1704 + }, + { + "epoch": 2.3, + "learning_rate": 6.84666244131165e-07, + "loss": 0.3215, + "step": 1705 + }, + { + "epoch": 2.3, + "learning_rate": 6.821669929944835e-07, + "loss": 0.3693, + "step": 1706 + }, + { + "epoch": 2.3, + "learning_rate": 6.7967159086186e-07, + "loss": 0.4036, + "step": 1707 + }, + { + "epoch": 2.3, + "learning_rate": 6.771800430169537e-07, + "loss": 0.347, + "step": 1708 + }, + { + "epoch": 2.3, + "learning_rate": 6.746923547352658e-07, + "loss": 0.4449, + "step": 1709 + }, + { + "epoch": 2.3, + "learning_rate": 6.722085312841228e-07, + "loss": 0.3668, + "step": 1710 + }, + { + "epoch": 2.31, + "learning_rate": 6.697285779226701e-07, + "loss": 0.3229, + "step": 1711 + }, + { + "epoch": 2.31, + "learning_rate": 6.672524999018576e-07, + "loss": 0.3719, + "step": 1712 + }, + { + "epoch": 2.31, + "learning_rate": 6.647803024644309e-07, + "loss": 0.382, + "step": 1713 + }, + { + "epoch": 2.31, + "learning_rate": 6.623119908449163e-07, + "loss": 0.382, + "step": 1714 + }, + { + "epoch": 2.31, + "learning_rate": 6.598475702696161e-07, + "loss": 0.3658, + "step": 1715 + }, + { + "epoch": 2.31, + "learning_rate": 6.573870459565907e-07, + "loss": 0.3827, + "step": 1716 + }, + { + "epoch": 2.31, + "learning_rate": 6.549304231156528e-07, + "loss": 0.3564, + "step": 1717 + }, + { + "epoch": 2.32, + "learning_rate": 6.524777069483526e-07, + "loss": 0.332, + "step": 1718 + }, + { + "epoch": 2.32, + "learning_rate": 6.5002890264797e-07, + "loss": 0.3576, + "step": 1719 + }, + { + "epoch": 2.32, + "learning_rate": 6.475840153995014e-07, + "loss": 0.317, + "step": 1720 + }, + { + "epoch": 2.32, + "learning_rate": 6.451430503796499e-07, + "loss": 0.4071, + "step": 1721 + }, + { + "epoch": 2.32, + "learning_rate": 6.427060127568124e-07, + "loss": 0.395, + "step": 1722 + }, + { + "epoch": 2.32, + "learning_rate": 6.402729076910722e-07, + "loss": 0.3871, + "step": 1723 + }, + { + "epoch": 2.32, + "learning_rate": 6.378437403341836e-07, + "loss": 0.346, + "step": 1724 + }, + { + "epoch": 2.32, + "learning_rate": 6.354185158295659e-07, + "loss": 0.3018, + "step": 1725 + }, + { + "epoch": 2.33, + "learning_rate": 6.329972393122874e-07, + "loss": 0.38, + "step": 1726 + }, + { + "epoch": 2.33, + "learning_rate": 6.305799159090589e-07, + "loss": 0.4256, + "step": 1727 + }, + { + "epoch": 2.33, + "learning_rate": 6.281665507382203e-07, + "loss": 0.4232, + "step": 1728 + }, + { + "epoch": 2.33, + "learning_rate": 6.257571489097322e-07, + "loss": 0.4309, + "step": 1729 + }, + { + "epoch": 2.33, + "learning_rate": 6.233517155251598e-07, + "loss": 0.2881, + "step": 1730 + }, + { + "epoch": 2.33, + "learning_rate": 6.209502556776683e-07, + "loss": 0.3349, + "step": 1731 + }, + { + "epoch": 2.33, + "learning_rate": 6.185527744520107e-07, + "loss": 0.3587, + "step": 1732 + }, + { + "epoch": 2.34, + "learning_rate": 6.161592769245115e-07, + "loss": 0.4002, + "step": 1733 + }, + { + "epoch": 2.34, + "learning_rate": 6.13769768163065e-07, + "loss": 0.4099, + "step": 1734 + }, + { + "epoch": 2.34, + "learning_rate": 6.11384253227116e-07, + "loss": 0.3449, + "step": 1735 + }, + { + "epoch": 2.34, + "learning_rate": 6.090027371676558e-07, + "loss": 0.3859, + "step": 1736 + }, + { + "epoch": 2.34, + "learning_rate": 6.06625225027207e-07, + "loss": 0.3292, + "step": 1737 + }, + { + "epoch": 2.34, + "learning_rate": 6.042517218398161e-07, + "loss": 0.355, + "step": 1738 + }, + { + "epoch": 2.34, + "learning_rate": 6.018822326310386e-07, + "loss": 0.3319, + "step": 1739 + }, + { + "epoch": 2.35, + "learning_rate": 5.995167624179338e-07, + "loss": 0.2942, + "step": 1740 + }, + { + "epoch": 2.35, + "learning_rate": 5.971553162090485e-07, + "loss": 0.409, + "step": 1741 + }, + { + "epoch": 2.35, + "learning_rate": 5.947978990044123e-07, + "loss": 0.3369, + "step": 1742 + }, + { + "epoch": 2.35, + "learning_rate": 5.924445157955206e-07, + "loss": 0.3959, + "step": 1743 + }, + { + "epoch": 2.35, + "learning_rate": 5.900951715653313e-07, + "loss": 0.3846, + "step": 1744 + }, + { + "epoch": 2.35, + "learning_rate": 5.877498712882471e-07, + "loss": 0.3781, + "step": 1745 + }, + { + "epoch": 2.35, + "learning_rate": 5.854086199301098e-07, + "loss": 0.3276, + "step": 1746 + }, + { + "epoch": 2.35, + "learning_rate": 5.830714224481868e-07, + "loss": 0.3868, + "step": 1747 + }, + { + "epoch": 2.36, + "learning_rate": 5.80738283791164e-07, + "loss": 0.3827, + "step": 1748 + }, + { + "epoch": 2.36, + "learning_rate": 5.784092088991314e-07, + "loss": 0.3435, + "step": 1749 + }, + { + "epoch": 2.36, + "learning_rate": 5.760842027035762e-07, + "loss": 0.3353, + "step": 1750 + }, + { + "epoch": 2.36, + "learning_rate": 5.737632701273679e-07, + "loss": 0.3951, + "step": 1751 + }, + { + "epoch": 2.36, + "learning_rate": 5.714464160847558e-07, + "loss": 0.328, + "step": 1752 + }, + { + "epoch": 2.36, + "learning_rate": 5.691336454813479e-07, + "loss": 0.4287, + "step": 1753 + }, + { + "epoch": 2.36, + "learning_rate": 5.668249632141099e-07, + "loss": 0.3691, + "step": 1754 + }, + { + "epoch": 2.37, + "learning_rate": 5.645203741713487e-07, + "loss": 0.3695, + "step": 1755 + }, + { + "epoch": 2.37, + "learning_rate": 5.622198832327063e-07, + "loss": 0.3495, + "step": 1756 + }, + { + "epoch": 2.37, + "learning_rate": 5.599234952691457e-07, + "loss": 0.3923, + "step": 1757 + }, + { + "epoch": 2.37, + "learning_rate": 5.576312151429444e-07, + "loss": 0.3619, + "step": 1758 + }, + { + "epoch": 2.37, + "learning_rate": 5.553430477076791e-07, + "loss": 0.364, + "step": 1759 + }, + { + "epoch": 2.37, + "learning_rate": 5.530589978082229e-07, + "loss": 0.345, + "step": 1760 + }, + { + "epoch": 2.37, + "learning_rate": 5.507790702807264e-07, + "loss": 0.3778, + "step": 1761 + }, + { + "epoch": 2.37, + "learning_rate": 5.485032699526147e-07, + "loss": 0.3686, + "step": 1762 + }, + { + "epoch": 2.38, + "learning_rate": 5.462316016425712e-07, + "loss": 0.388, + "step": 1763 + }, + { + "epoch": 2.38, + "learning_rate": 5.439640701605331e-07, + "loss": 0.3754, + "step": 1764 + }, + { + "epoch": 2.38, + "learning_rate": 5.417006803076777e-07, + "loss": 0.3674, + "step": 1765 + }, + { + "epoch": 2.38, + "learning_rate": 5.394414368764112e-07, + "loss": 0.3332, + "step": 1766 + }, + { + "epoch": 2.38, + "learning_rate": 5.371863446503628e-07, + "loss": 0.3527, + "step": 1767 + }, + { + "epoch": 2.38, + "learning_rate": 5.349354084043712e-07, + "loss": 0.3528, + "step": 1768 + }, + { + "epoch": 2.38, + "learning_rate": 5.326886329044742e-07, + "loss": 0.3483, + "step": 1769 + }, + { + "epoch": 2.39, + "learning_rate": 5.304460229079014e-07, + "loss": 0.3501, + "step": 1770 + }, + { + "epoch": 2.39, + "learning_rate": 5.282075831630631e-07, + "loss": 0.365, + "step": 1771 + }, + { + "epoch": 2.39, + "learning_rate": 5.259733184095367e-07, + "loss": 0.3764, + "step": 1772 + }, + { + "epoch": 2.39, + "learning_rate": 5.237432333780632e-07, + "loss": 0.3403, + "step": 1773 + }, + { + "epoch": 2.39, + "learning_rate": 5.215173327905304e-07, + "loss": 0.4016, + "step": 1774 + }, + { + "epoch": 2.39, + "learning_rate": 5.192956213599684e-07, + "loss": 0.3859, + "step": 1775 + }, + { + "epoch": 2.39, + "learning_rate": 5.170781037905368e-07, + "loss": 0.4071, + "step": 1776 + }, + { + "epoch": 2.39, + "learning_rate": 5.14864784777516e-07, + "loss": 0.378, + "step": 1777 + }, + { + "epoch": 2.4, + "learning_rate": 5.126556690072937e-07, + "loss": 0.3549, + "step": 1778 + }, + { + "epoch": 2.4, + "learning_rate": 5.104507611573614e-07, + "loss": 0.365, + "step": 1779 + }, + { + "epoch": 2.4, + "learning_rate": 5.082500658962986e-07, + "loss": 0.3694, + "step": 1780 + }, + { + "epoch": 2.4, + "learning_rate": 5.060535878837666e-07, + "loss": 0.3774, + "step": 1781 + }, + { + "epoch": 2.4, + "learning_rate": 5.038613317704954e-07, + "loss": 0.3449, + "step": 1782 + }, + { + "epoch": 2.4, + "learning_rate": 5.016733021982781e-07, + "loss": 0.3561, + "step": 1783 + }, + { + "epoch": 2.4, + "learning_rate": 4.994895037999573e-07, + "loss": 0.3399, + "step": 1784 + }, + { + "epoch": 2.41, + "learning_rate": 4.973099411994175e-07, + "loss": 0.3225, + "step": 1785 + }, + { + "epoch": 2.41, + "learning_rate": 4.951346190115727e-07, + "loss": 0.3684, + "step": 1786 + }, + { + "epoch": 2.41, + "learning_rate": 4.929635418423612e-07, + "loss": 0.3434, + "step": 1787 + }, + { + "epoch": 2.41, + "learning_rate": 4.907967142887302e-07, + "loss": 0.3362, + "step": 1788 + }, + { + "epoch": 2.41, + "learning_rate": 4.886341409386313e-07, + "loss": 0.3527, + "step": 1789 + }, + { + "epoch": 2.41, + "learning_rate": 4.864758263710065e-07, + "loss": 0.3712, + "step": 1790 + }, + { + "epoch": 2.41, + "learning_rate": 4.843217751557819e-07, + "loss": 0.3525, + "step": 1791 + }, + { + "epoch": 2.42, + "learning_rate": 4.821719918538562e-07, + "loss": 0.3817, + "step": 1792 + }, + { + "epoch": 2.42, + "learning_rate": 4.800264810170913e-07, + "loss": 0.3691, + "step": 1793 + }, + { + "epoch": 2.42, + "learning_rate": 4.77885247188302e-07, + "loss": 0.3489, + "step": 1794 + }, + { + "epoch": 2.42, + "learning_rate": 4.7574829490124873e-07, + "loss": 0.3668, + "step": 1795 + }, + { + "epoch": 2.42, + "learning_rate": 4.7361562868062427e-07, + "loss": 0.3385, + "step": 1796 + }, + { + "epoch": 2.42, + "learning_rate": 4.714872530420481e-07, + "loss": 0.3991, + "step": 1797 + }, + { + "epoch": 2.42, + "learning_rate": 4.6936317249205497e-07, + "loss": 0.3461, + "step": 1798 + }, + { + "epoch": 2.42, + "learning_rate": 4.6724339152808355e-07, + "loss": 0.3906, + "step": 1799 + }, + { + "epoch": 2.43, + "learning_rate": 4.6512791463847045e-07, + "loss": 0.4263, + "step": 1800 + }, + { + "epoch": 2.43, + "learning_rate": 4.6301674630243934e-07, + "loss": 0.3781, + "step": 1801 + }, + { + "epoch": 2.43, + "learning_rate": 4.6090989099008886e-07, + "loss": 0.402, + "step": 1802 + }, + { + "epoch": 2.43, + "learning_rate": 4.5880735316238765e-07, + "loss": 0.4427, + "step": 1803 + }, + { + "epoch": 2.43, + "learning_rate": 4.567091372711624e-07, + "loss": 0.418, + "step": 1804 + }, + { + "epoch": 2.43, + "learning_rate": 4.5461524775908705e-07, + "loss": 0.3799, + "step": 1805 + }, + { + "epoch": 2.43, + "learning_rate": 4.525256890596774e-07, + "loss": 0.3682, + "step": 1806 + }, + { + "epoch": 2.44, + "learning_rate": 4.504404655972772e-07, + "loss": 0.3509, + "step": 1807 + }, + { + "epoch": 2.44, + "learning_rate": 4.483595817870523e-07, + "loss": 0.4271, + "step": 1808 + }, + { + "epoch": 2.44, + "learning_rate": 4.462830420349798e-07, + "loss": 0.3745, + "step": 1809 + }, + { + "epoch": 2.44, + "learning_rate": 4.4421085073783896e-07, + "loss": 0.4069, + "step": 1810 + }, + { + "epoch": 2.44, + "learning_rate": 4.4214301228320074e-07, + "loss": 0.3394, + "step": 1811 + }, + { + "epoch": 2.44, + "learning_rate": 4.400795310494213e-07, + "loss": 0.3804, + "step": 1812 + }, + { + "epoch": 2.44, + "learning_rate": 4.3802041140562884e-07, + "loss": 0.4051, + "step": 1813 + }, + { + "epoch": 2.44, + "learning_rate": 4.359656577117188e-07, + "loss": 0.396, + "step": 1814 + }, + { + "epoch": 2.45, + "learning_rate": 4.339152743183397e-07, + "loss": 0.4453, + "step": 1815 + }, + { + "epoch": 2.45, + "learning_rate": 4.3186926556689045e-07, + "loss": 0.3429, + "step": 1816 + }, + { + "epoch": 2.45, + "learning_rate": 4.2982763578950287e-07, + "loss": 0.3735, + "step": 1817 + }, + { + "epoch": 2.45, + "learning_rate": 4.277903893090407e-07, + "loss": 0.3439, + "step": 1818 + }, + { + "epoch": 2.45, + "learning_rate": 4.257575304390832e-07, + "loss": 0.3357, + "step": 1819 + }, + { + "epoch": 2.45, + "learning_rate": 4.237290634839231e-07, + "loss": 0.3814, + "step": 1820 + }, + { + "epoch": 2.45, + "learning_rate": 4.2170499273855024e-07, + "loss": 0.3745, + "step": 1821 + }, + { + "epoch": 2.46, + "learning_rate": 4.1968532248864933e-07, + "loss": 0.3279, + "step": 1822 + }, + { + "epoch": 2.46, + "learning_rate": 4.1767005701058463e-07, + "loss": 0.4221, + "step": 1823 + }, + { + "epoch": 2.46, + "learning_rate": 4.156592005713975e-07, + "loss": 0.442, + "step": 1824 + }, + { + "epoch": 2.46, + "learning_rate": 4.136527574287902e-07, + "loss": 0.395, + "step": 1825 + }, + { + "epoch": 2.46, + "learning_rate": 4.116507318311233e-07, + "loss": 0.3972, + "step": 1826 + }, + { + "epoch": 2.46, + "learning_rate": 4.0965312801740127e-07, + "loss": 0.3872, + "step": 1827 + }, + { + "epoch": 2.46, + "learning_rate": 4.0765995021726847e-07, + "loss": 0.395, + "step": 1828 + }, + { + "epoch": 2.46, + "learning_rate": 4.05671202650996e-07, + "loss": 0.4575, + "step": 1829 + }, + { + "epoch": 2.47, + "learning_rate": 4.0368688952947545e-07, + "loss": 0.4439, + "step": 1830 + }, + { + "epoch": 2.47, + "learning_rate": 4.0170701505420904e-07, + "loss": 0.4654, + "step": 1831 + }, + { + "epoch": 2.47, + "learning_rate": 3.9973158341730155e-07, + "loss": 0.3934, + "step": 1832 + }, + { + "epoch": 2.47, + "learning_rate": 3.9776059880144853e-07, + "loss": 0.3172, + "step": 1833 + }, + { + "epoch": 2.47, + "learning_rate": 3.957940653799319e-07, + "loss": 0.3686, + "step": 1834 + }, + { + "epoch": 2.47, + "learning_rate": 3.938319873166066e-07, + "loss": 0.3386, + "step": 1835 + }, + { + "epoch": 2.47, + "learning_rate": 3.91874368765896e-07, + "loss": 0.3039, + "step": 1836 + }, + { + "epoch": 2.48, + "learning_rate": 3.899212138727806e-07, + "loss": 0.4061, + "step": 1837 + }, + { + "epoch": 2.48, + "learning_rate": 3.879725267727885e-07, + "loss": 0.4291, + "step": 1838 + }, + { + "epoch": 2.48, + "learning_rate": 3.860283115919894e-07, + "loss": 0.3754, + "step": 1839 + }, + { + "epoch": 2.48, + "learning_rate": 3.840885724469837e-07, + "loss": 0.4884, + "step": 1840 + }, + { + "epoch": 2.48, + "learning_rate": 3.82153313444894e-07, + "loss": 0.4018, + "step": 1841 + }, + { + "epoch": 2.48, + "learning_rate": 3.8022253868335743e-07, + "loss": 0.3385, + "step": 1842 + }, + { + "epoch": 2.48, + "learning_rate": 3.782962522505168e-07, + "loss": 0.3645, + "step": 1843 + }, + { + "epoch": 2.49, + "learning_rate": 3.7637445822501007e-07, + "loss": 0.3661, + "step": 1844 + }, + { + "epoch": 2.49, + "learning_rate": 3.7445716067596506e-07, + "loss": 0.3924, + "step": 1845 + }, + { + "epoch": 2.49, + "learning_rate": 3.7254436366298663e-07, + "loss": 0.4486, + "step": 1846 + }, + { + "epoch": 2.49, + "learning_rate": 3.706360712361526e-07, + "loss": 0.3704, + "step": 1847 + }, + { + "epoch": 2.49, + "learning_rate": 3.6873228743600135e-07, + "loss": 0.3495, + "step": 1848 + }, + { + "epoch": 2.49, + "learning_rate": 3.6683301629352714e-07, + "loss": 0.3517, + "step": 1849 + }, + { + "epoch": 2.49, + "learning_rate": 3.6493826183016585e-07, + "loss": 0.389, + "step": 1850 + }, + { + "epoch": 2.49, + "learning_rate": 3.6304802805779306e-07, + "loss": 0.4144, + "step": 1851 + }, + { + "epoch": 2.5, + "learning_rate": 3.611623189787103e-07, + "loss": 0.4518, + "step": 1852 + }, + { + "epoch": 2.5, + "learning_rate": 3.592811385856404e-07, + "loss": 0.3614, + "step": 1853 + }, + { + "epoch": 2.5, + "learning_rate": 3.574044908617161e-07, + "loss": 0.3866, + "step": 1854 + }, + { + "epoch": 2.5, + "learning_rate": 3.55532379780473e-07, + "loss": 0.3452, + "step": 1855 + }, + { + "epoch": 2.5, + "learning_rate": 3.536648093058417e-07, + "loss": 0.3752, + "step": 1856 + }, + { + "epoch": 2.5, + "learning_rate": 3.5180178339213917e-07, + "loss": 0.3841, + "step": 1857 + }, + { + "epoch": 2.5, + "learning_rate": 3.4994330598405735e-07, + "loss": 0.4059, + "step": 1858 + }, + { + "epoch": 2.51, + "learning_rate": 3.480893810166605e-07, + "loss": 0.3153, + "step": 1859 + }, + { + "epoch": 2.51, + "learning_rate": 3.4624001241537114e-07, + "loss": 0.4322, + "step": 1860 + }, + { + "epoch": 2.51, + "learning_rate": 3.4439520409596667e-07, + "loss": 0.3945, + "step": 1861 + }, + { + "epoch": 2.51, + "learning_rate": 3.425549599645661e-07, + "loss": 0.3706, + "step": 1862 + }, + { + "epoch": 2.51, + "learning_rate": 3.4071928391762683e-07, + "loss": 0.3544, + "step": 1863 + }, + { + "epoch": 2.51, + "learning_rate": 3.38888179841933e-07, + "loss": 0.3723, + "step": 1864 + }, + { + "epoch": 2.51, + "learning_rate": 3.370616516145886e-07, + "loss": 0.3467, + "step": 1865 + }, + { + "epoch": 2.51, + "learning_rate": 3.352397031030075e-07, + "loss": 0.3303, + "step": 1866 + }, + { + "epoch": 2.52, + "learning_rate": 3.3342233816490904e-07, + "loss": 0.4165, + "step": 1867 + }, + { + "epoch": 2.52, + "learning_rate": 3.3160956064830497e-07, + "loss": 0.3932, + "step": 1868 + }, + { + "epoch": 2.52, + "learning_rate": 3.298013743914957e-07, + "loss": 0.4045, + "step": 1869 + }, + { + "epoch": 2.52, + "learning_rate": 3.279977832230602e-07, + "loss": 0.3705, + "step": 1870 + }, + { + "epoch": 2.52, + "learning_rate": 3.2619879096184636e-07, + "loss": 0.3026, + "step": 1871 + }, + { + "epoch": 2.52, + "learning_rate": 3.244044014169659e-07, + "loss": 0.4336, + "step": 1872 + }, + { + "epoch": 2.52, + "learning_rate": 3.226146183877857e-07, + "loss": 0.3923, + "step": 1873 + }, + { + "epoch": 2.53, + "learning_rate": 3.2082944566391633e-07, + "loss": 0.3253, + "step": 1874 + }, + { + "epoch": 2.53, + "learning_rate": 3.1904888702520926e-07, + "loss": 0.3206, + "step": 1875 + }, + { + "epoch": 2.53, + "learning_rate": 3.1727294624174593e-07, + "loss": 0.47, + "step": 1876 + }, + { + "epoch": 2.53, + "learning_rate": 3.1550162707382814e-07, + "loss": 0.4428, + "step": 1877 + }, + { + "epoch": 2.53, + "learning_rate": 3.137349332719747e-07, + "loss": 0.4179, + "step": 1878 + }, + { + "epoch": 2.53, + "learning_rate": 3.11972868576908e-07, + "loss": 0.3939, + "step": 1879 + }, + { + "epoch": 2.53, + "learning_rate": 3.1021543671955284e-07, + "loss": 0.3587, + "step": 1880 + }, + { + "epoch": 2.54, + "learning_rate": 3.0846264142102095e-07, + "loss": 0.3903, + "step": 1881 + }, + { + "epoch": 2.54, + "learning_rate": 3.0671448639260887e-07, + "loss": 0.4498, + "step": 1882 + }, + { + "epoch": 2.54, + "learning_rate": 3.0497097533578657e-07, + "loss": 0.3518, + "step": 1883 + }, + { + "epoch": 2.54, + "learning_rate": 3.03232111942193e-07, + "loss": 0.4268, + "step": 1884 + }, + { + "epoch": 2.54, + "learning_rate": 3.014978998936241e-07, + "loss": 0.3963, + "step": 1885 + }, + { + "epoch": 2.54, + "learning_rate": 2.997683428620296e-07, + "loss": 0.4135, + "step": 1886 + }, + { + "epoch": 2.54, + "learning_rate": 2.9804344450949983e-07, + "loss": 0.3845, + "step": 1887 + }, + { + "epoch": 2.54, + "learning_rate": 2.963232084882653e-07, + "loss": 0.3831, + "step": 1888 + }, + { + "epoch": 2.55, + "learning_rate": 2.946076384406804e-07, + "loss": 0.3915, + "step": 1889 + }, + { + "epoch": 2.55, + "learning_rate": 2.9289673799922286e-07, + "loss": 0.3414, + "step": 1890 + }, + { + "epoch": 2.55, + "learning_rate": 2.911905107864815e-07, + "loss": 0.4264, + "step": 1891 + }, + { + "epoch": 2.55, + "learning_rate": 2.8948896041515157e-07, + "loss": 0.3921, + "step": 1892 + }, + { + "epoch": 2.55, + "learning_rate": 2.8779209048802435e-07, + "loss": 0.407, + "step": 1893 + }, + { + "epoch": 2.55, + "learning_rate": 2.8609990459798257e-07, + "loss": 0.3727, + "step": 1894 + }, + { + "epoch": 2.55, + "learning_rate": 2.844124063279885e-07, + "loss": 0.4595, + "step": 1895 + }, + { + "epoch": 2.56, + "learning_rate": 2.827295992510834e-07, + "loss": 0.4142, + "step": 1896 + }, + { + "epoch": 2.56, + "learning_rate": 2.810514869303713e-07, + "loss": 0.3604, + "step": 1897 + }, + { + "epoch": 2.56, + "learning_rate": 2.7937807291901846e-07, + "loss": 0.3777, + "step": 1898 + }, + { + "epoch": 2.56, + "learning_rate": 2.777093607602413e-07, + "loss": 0.4519, + "step": 1899 + }, + { + "epoch": 2.56, + "learning_rate": 2.760453539873023e-07, + "loss": 0.3582, + "step": 1900 + }, + { + "epoch": 2.56, + "learning_rate": 2.7438605612349957e-07, + "loss": 0.3191, + "step": 1901 + }, + { + "epoch": 2.56, + "learning_rate": 2.7273147068216155e-07, + "loss": 0.4515, + "step": 1902 + }, + { + "epoch": 2.56, + "learning_rate": 2.7108160116663896e-07, + "loss": 0.3795, + "step": 1903 + }, + { + "epoch": 2.57, + "learning_rate": 2.694364510702974e-07, + "loss": 0.405, + "step": 1904 + }, + { + "epoch": 2.57, + "learning_rate": 2.6779602387650845e-07, + "loss": 0.3336, + "step": 1905 + }, + { + "epoch": 2.57, + "learning_rate": 2.661603230586451e-07, + "loss": 0.3941, + "step": 1906 + }, + { + "epoch": 2.57, + "learning_rate": 2.645293520800718e-07, + "loss": 0.3283, + "step": 1907 + }, + { + "epoch": 2.57, + "learning_rate": 2.629031143941388e-07, + "loss": 0.4321, + "step": 1908 + }, + { + "epoch": 2.57, + "learning_rate": 2.612816134441748e-07, + "loss": 0.3828, + "step": 1909 + }, + { + "epoch": 2.57, + "learning_rate": 2.5966485266347737e-07, + "loss": 0.3941, + "step": 1910 + }, + { + "epoch": 2.58, + "learning_rate": 2.580528354753095e-07, + "loss": 0.3525, + "step": 1911 + }, + { + "epoch": 2.58, + "learning_rate": 2.5644556529288907e-07, + "loss": 0.4706, + "step": 1912 + }, + { + "epoch": 2.58, + "learning_rate": 2.548430455193837e-07, + "loss": 0.3056, + "step": 1913 + }, + { + "epoch": 2.58, + "learning_rate": 2.53245279547901e-07, + "loss": 0.4896, + "step": 1914 + }, + { + "epoch": 2.58, + "learning_rate": 2.516522707614857e-07, + "loss": 0.4352, + "step": 1915 + }, + { + "epoch": 2.58, + "learning_rate": 2.500640225331069e-07, + "loss": 0.403, + "step": 1916 + }, + { + "epoch": 2.58, + "learning_rate": 2.484805382256567e-07, + "loss": 0.3451, + "step": 1917 + }, + { + "epoch": 2.58, + "learning_rate": 2.46901821191938e-07, + "loss": 0.4208, + "step": 1918 + }, + { + "epoch": 2.59, + "learning_rate": 2.45327874774661e-07, + "loss": 0.3569, + "step": 1919 + }, + { + "epoch": 2.59, + "learning_rate": 2.437587023064342e-07, + "loss": 0.3364, + "step": 1920 + }, + { + "epoch": 2.59, + "learning_rate": 2.4219430710975904e-07, + "loss": 0.3312, + "step": 1921 + }, + { + "epoch": 2.59, + "learning_rate": 2.406346924970196e-07, + "loss": 0.4133, + "step": 1922 + }, + { + "epoch": 2.59, + "learning_rate": 2.3907986177048035e-07, + "loss": 0.4163, + "step": 1923 + }, + { + "epoch": 2.59, + "learning_rate": 2.3752981822227406e-07, + "loss": 0.3683, + "step": 1924 + }, + { + "epoch": 2.59, + "learning_rate": 2.359845651343995e-07, + "loss": 0.3504, + "step": 1925 + }, + { + "epoch": 2.6, + "learning_rate": 2.344441057787103e-07, + "loss": 0.4074, + "step": 1926 + }, + { + "epoch": 2.6, + "learning_rate": 2.3290844341691182e-07, + "loss": 0.4227, + "step": 1927 + }, + { + "epoch": 2.6, + "learning_rate": 2.3137758130055144e-07, + "loss": 0.4429, + "step": 1928 + }, + { + "epoch": 2.6, + "learning_rate": 2.2985152267101352e-07, + "loss": 0.397, + "step": 1929 + }, + { + "epoch": 2.6, + "learning_rate": 2.283302707595103e-07, + "loss": 0.3385, + "step": 1930 + }, + { + "epoch": 2.6, + "learning_rate": 2.268138287870783e-07, + "loss": 0.3978, + "step": 1931 + }, + { + "epoch": 2.6, + "learning_rate": 2.2530219996456798e-07, + "loss": 0.3628, + "step": 1932 + }, + { + "epoch": 2.61, + "learning_rate": 2.237953874926399e-07, + "loss": 0.3827, + "step": 1933 + }, + { + "epoch": 2.61, + "learning_rate": 2.222933945617553e-07, + "loss": 0.4517, + "step": 1934 + }, + { + "epoch": 2.61, + "learning_rate": 2.2079622435217246e-07, + "loss": 0.4673, + "step": 1935 + }, + { + "epoch": 2.61, + "learning_rate": 2.19303880033937e-07, + "loss": 0.3978, + "step": 1936 + }, + { + "epoch": 2.61, + "learning_rate": 2.1781636476687713e-07, + "loss": 0.4155, + "step": 1937 + }, + { + "epoch": 2.61, + "learning_rate": 2.163336817005951e-07, + "loss": 0.3685, + "step": 1938 + }, + { + "epoch": 2.61, + "learning_rate": 2.1485583397446358e-07, + "loss": 0.4242, + "step": 1939 + }, + { + "epoch": 2.61, + "learning_rate": 2.1338282471761451e-07, + "loss": 0.4287, + "step": 1940 + }, + { + "epoch": 2.62, + "learning_rate": 2.119146570489372e-07, + "loss": 0.3813, + "step": 1941 + }, + { + "epoch": 2.62, + "learning_rate": 2.1045133407706947e-07, + "loss": 0.402, + "step": 1942 + }, + { + "epoch": 2.62, + "learning_rate": 2.0899285890038923e-07, + "loss": 0.4047, + "step": 1943 + }, + { + "epoch": 2.62, + "learning_rate": 2.075392346070121e-07, + "loss": 0.3444, + "step": 1944 + }, + { + "epoch": 2.62, + "learning_rate": 2.0609046427478157e-07, + "loss": 0.3794, + "step": 1945 + }, + { + "epoch": 2.62, + "learning_rate": 2.046465509712639e-07, + "loss": 0.3824, + "step": 1946 + }, + { + "epoch": 2.62, + "learning_rate": 2.0320749775374072e-07, + "loss": 0.3906, + "step": 1947 + }, + { + "epoch": 2.63, + "learning_rate": 2.0177330766920382e-07, + "loss": 0.3336, + "step": 1948 + }, + { + "epoch": 2.63, + "learning_rate": 2.0034398375434722e-07, + "loss": 0.3944, + "step": 1949 + }, + { + "epoch": 2.63, + "learning_rate": 1.9891952903556278e-07, + "loss": 0.4302, + "step": 1950 + }, + { + "epoch": 2.63, + "learning_rate": 1.974999465289304e-07, + "loss": 0.3494, + "step": 1951 + }, + { + "epoch": 2.63, + "learning_rate": 1.9608523924021684e-07, + "loss": 0.42, + "step": 1952 + }, + { + "epoch": 2.63, + "learning_rate": 1.946754101648629e-07, + "loss": 0.344, + "step": 1953 + }, + { + "epoch": 2.63, + "learning_rate": 1.9327046228798357e-07, + "loss": 0.3371, + "step": 1954 + }, + { + "epoch": 2.63, + "learning_rate": 1.9187039858435564e-07, + "loss": 0.399, + "step": 1955 + }, + { + "epoch": 2.64, + "learning_rate": 1.9047522201841667e-07, + "loss": 0.4178, + "step": 1956 + }, + { + "epoch": 2.64, + "learning_rate": 1.8908493554425533e-07, + "loss": 0.344, + "step": 1957 + }, + { + "epoch": 2.64, + "learning_rate": 1.8769954210560659e-07, + "loss": 0.3646, + "step": 1958 + }, + { + "epoch": 2.64, + "learning_rate": 1.8631904463584372e-07, + "loss": 0.4049, + "step": 1959 + }, + { + "epoch": 2.64, + "learning_rate": 1.8494344605797688e-07, + "loss": 0.3885, + "step": 1960 + }, + { + "epoch": 2.64, + "learning_rate": 1.8357274928463953e-07, + "loss": 0.3951, + "step": 1961 + }, + { + "epoch": 2.64, + "learning_rate": 1.822069572180893e-07, + "loss": 0.4425, + "step": 1962 + }, + { + "epoch": 2.65, + "learning_rate": 1.8084607275019622e-07, + "loss": 0.3866, + "step": 1963 + }, + { + "epoch": 2.65, + "learning_rate": 1.794900987624418e-07, + "loss": 0.3821, + "step": 1964 + }, + { + "epoch": 2.65, + "learning_rate": 1.781390381259082e-07, + "loss": 0.3626, + "step": 1965 + }, + { + "epoch": 2.65, + "learning_rate": 1.7679289370127528e-07, + "loss": 0.4425, + "step": 1966 + }, + { + "epoch": 2.65, + "learning_rate": 1.7545166833881272e-07, + "loss": 0.4459, + "step": 1967 + }, + { + "epoch": 2.65, + "learning_rate": 1.7411536487837694e-07, + "loss": 0.3715, + "step": 1968 + }, + { + "epoch": 2.65, + "learning_rate": 1.7278398614939961e-07, + "loss": 0.388, + "step": 1969 + }, + { + "epoch": 2.65, + "learning_rate": 1.7145753497088801e-07, + "loss": 0.3575, + "step": 1970 + }, + { + "epoch": 2.66, + "learning_rate": 1.7013601415141384e-07, + "loss": 0.3864, + "step": 1971 + }, + { + "epoch": 2.66, + "learning_rate": 1.6881942648911077e-07, + "loss": 0.3511, + "step": 1972 + }, + { + "epoch": 2.66, + "learning_rate": 1.6750777477166662e-07, + "loss": 0.4654, + "step": 1973 + }, + { + "epoch": 2.66, + "learning_rate": 1.6620106177631822e-07, + "loss": 0.43, + "step": 1974 + }, + { + "epoch": 2.66, + "learning_rate": 1.6489929026984542e-07, + "loss": 0.375, + "step": 1975 + }, + { + "epoch": 2.66, + "learning_rate": 1.636024630085656e-07, + "loss": 0.4397, + "step": 1976 + }, + { + "epoch": 2.66, + "learning_rate": 1.6231058273832616e-07, + "loss": 0.448, + "step": 1977 + }, + { + "epoch": 2.67, + "learning_rate": 1.6102365219450132e-07, + "loss": 0.4155, + "step": 1978 + }, + { + "epoch": 2.67, + "learning_rate": 1.597416741019836e-07, + "loss": 0.3109, + "step": 1979 + }, + { + "epoch": 2.67, + "learning_rate": 1.5846465117518027e-07, + "loss": 0.4055, + "step": 1980 + }, + { + "epoch": 2.67, + "learning_rate": 1.5719258611800763e-07, + "loss": 0.384, + "step": 1981 + }, + { + "epoch": 2.67, + "learning_rate": 1.55925481623882e-07, + "loss": 0.3356, + "step": 1982 + }, + { + "epoch": 2.67, + "learning_rate": 1.5466334037571833e-07, + "loss": 0.3783, + "step": 1983 + }, + { + "epoch": 2.67, + "learning_rate": 1.5340616504592203e-07, + "loss": 0.3798, + "step": 1984 + }, + { + "epoch": 2.68, + "learning_rate": 1.5215395829638462e-07, + "loss": 0.3489, + "step": 1985 + }, + { + "epoch": 2.68, + "learning_rate": 1.5090672277847523e-07, + "loss": 0.3831, + "step": 1986 + }, + { + "epoch": 2.68, + "learning_rate": 1.4966446113303972e-07, + "loss": 0.3455, + "step": 1987 + }, + { + "epoch": 2.68, + "learning_rate": 1.4842717599039048e-07, + "loss": 0.3687, + "step": 1988 + }, + { + "epoch": 2.68, + "learning_rate": 1.4719486997030408e-07, + "loss": 0.4184, + "step": 1989 + }, + { + "epoch": 2.68, + "learning_rate": 1.4596754568201366e-07, + "loss": 0.3735, + "step": 1990 + }, + { + "epoch": 2.68, + "learning_rate": 1.4474520572420493e-07, + "loss": 0.3399, + "step": 1991 + }, + { + "epoch": 2.68, + "learning_rate": 1.435278526850098e-07, + "loss": 0.384, + "step": 1992 + }, + { + "epoch": 2.69, + "learning_rate": 1.4231548914200117e-07, + "loss": 0.4378, + "step": 1993 + }, + { + "epoch": 2.69, + "learning_rate": 1.4110811766218674e-07, + "loss": 0.4281, + "step": 1994 + }, + { + "epoch": 2.69, + "learning_rate": 1.399057408020052e-07, + "loss": 0.3294, + "step": 1995 + }, + { + "epoch": 2.69, + "learning_rate": 1.387083611073184e-07, + "loss": 0.4189, + "step": 1996 + }, + { + "epoch": 2.69, + "learning_rate": 1.375159811134097e-07, + "loss": 0.396, + "step": 1997 + }, + { + "epoch": 2.69, + "learning_rate": 1.3632860334497372e-07, + "loss": 0.3769, + "step": 1998 + }, + { + "epoch": 2.69, + "learning_rate": 1.351462303161155e-07, + "loss": 0.3803, + "step": 1999 + }, + { + "epoch": 2.7, + "learning_rate": 1.339688645303422e-07, + "loss": 0.4327, + "step": 2000 + }, + { + "epoch": 2.7, + "learning_rate": 1.3279650848055992e-07, + "loss": 0.3809, + "step": 2001 + }, + { + "epoch": 2.7, + "learning_rate": 1.3162916464906555e-07, + "loss": 0.3602, + "step": 2002 + }, + { + "epoch": 2.7, + "learning_rate": 1.304668355075453e-07, + "loss": 0.3946, + "step": 2003 + }, + { + "epoch": 2.7, + "learning_rate": 1.2930952351706605e-07, + "loss": 0.411, + "step": 2004 + }, + { + "epoch": 2.7, + "learning_rate": 1.2815723112807264e-07, + "loss": 0.3373, + "step": 2005 + }, + { + "epoch": 2.7, + "learning_rate": 1.2700996078038015e-07, + "loss": 0.4618, + "step": 2006 + }, + { + "epoch": 2.7, + "learning_rate": 1.2586771490317174e-07, + "loss": 0.349, + "step": 2007 + }, + { + "epoch": 2.71, + "learning_rate": 1.2473049591499143e-07, + "loss": 0.3604, + "step": 2008 + }, + { + "epoch": 2.71, + "learning_rate": 1.2359830622373975e-07, + "loss": 0.4377, + "step": 2009 + }, + { + "epoch": 2.71, + "learning_rate": 1.2247114822666717e-07, + "loss": 0.3781, + "step": 2010 + }, + { + "epoch": 2.71, + "learning_rate": 1.213490243103721e-07, + "loss": 0.3691, + "step": 2011 + }, + { + "epoch": 2.71, + "learning_rate": 1.202319368507923e-07, + "loss": 0.3982, + "step": 2012 + }, + { + "epoch": 2.71, + "learning_rate": 1.1911988821320275e-07, + "loss": 0.384, + "step": 2013 + }, + { + "epoch": 2.71, + "learning_rate": 1.1801288075220934e-07, + "loss": 0.4327, + "step": 2014 + }, + { + "epoch": 2.72, + "learning_rate": 1.16910916811743e-07, + "loss": 0.3874, + "step": 2015 + }, + { + "epoch": 2.72, + "learning_rate": 1.1581399872505672e-07, + "loss": 0.3721, + "step": 2016 + }, + { + "epoch": 2.72, + "learning_rate": 1.1472212881471905e-07, + "loss": 0.3162, + "step": 2017 + }, + { + "epoch": 2.72, + "learning_rate": 1.136353093926107e-07, + "loss": 0.3934, + "step": 2018 + }, + { + "epoch": 2.72, + "learning_rate": 1.1255354275991698e-07, + "loss": 0.5036, + "step": 2019 + }, + { + "epoch": 2.72, + "learning_rate": 1.1147683120712627e-07, + "loss": 0.34, + "step": 2020 + }, + { + "epoch": 2.72, + "learning_rate": 1.1040517701402215e-07, + "loss": 0.3963, + "step": 2021 + }, + { + "epoch": 2.73, + "learning_rate": 1.0933858244968148e-07, + "loss": 0.4018, + "step": 2022 + }, + { + "epoch": 2.73, + "learning_rate": 1.0827704977246639e-07, + "loss": 0.3637, + "step": 2023 + }, + { + "epoch": 2.73, + "learning_rate": 1.072205812300231e-07, + "loss": 0.3571, + "step": 2024 + }, + { + "epoch": 2.73, + "learning_rate": 1.0616917905927337e-07, + "loss": 0.3427, + "step": 2025 + }, + { + "epoch": 2.73, + "learning_rate": 1.0512284548641283e-07, + "loss": 0.4141, + "step": 2026 + }, + { + "epoch": 2.73, + "learning_rate": 1.0408158272690455e-07, + "loss": 0.3455, + "step": 2027 + }, + { + "epoch": 2.73, + "learning_rate": 1.0304539298547523e-07, + "loss": 0.382, + "step": 2028 + }, + { + "epoch": 2.73, + "learning_rate": 1.0201427845610957e-07, + "loss": 0.4102, + "step": 2029 + }, + { + "epoch": 2.74, + "learning_rate": 1.0098824132204726e-07, + "loss": 0.4832, + "step": 2030 + }, + { + "epoch": 2.74, + "learning_rate": 9.996728375577553e-08, + "loss": 0.4556, + "step": 2031 + }, + { + "epoch": 2.74, + "learning_rate": 9.895140791902874e-08, + "loss": 0.383, + "step": 2032 + }, + { + "epoch": 2.74, + "learning_rate": 9.794061596277965e-08, + "loss": 0.3717, + "step": 2033 + }, + { + "epoch": 2.74, + "learning_rate": 9.693491002723737e-08, + "loss": 0.3736, + "step": 2034 + }, + { + "epoch": 2.74, + "learning_rate": 9.593429224184103e-08, + "loss": 0.412, + "step": 2035 + }, + { + "epoch": 2.74, + "learning_rate": 9.493876472525837e-08, + "loss": 0.3973, + "step": 2036 + }, + { + "epoch": 2.75, + "learning_rate": 9.394832958537714e-08, + "loss": 0.4164, + "step": 2037 + }, + { + "epoch": 2.75, + "learning_rate": 9.2962988919304e-08, + "loss": 0.4163, + "step": 2038 + }, + { + "epoch": 2.75, + "learning_rate": 9.198274481335728e-08, + "loss": 0.4123, + "step": 2039 + }, + { + "epoch": 2.75, + "learning_rate": 9.100759934306674e-08, + "loss": 0.4254, + "step": 2040 + }, + { + "epoch": 2.75, + "learning_rate": 9.003755457316354e-08, + "loss": 0.467, + "step": 2041 + }, + { + "epoch": 2.75, + "learning_rate": 8.907261255758109e-08, + "loss": 0.4308, + "step": 2042 + }, + { + "epoch": 2.75, + "learning_rate": 8.811277533944673e-08, + "loss": 0.3757, + "step": 2043 + }, + { + "epoch": 2.75, + "learning_rate": 8.71580449510806e-08, + "loss": 0.3939, + "step": 2044 + }, + { + "epoch": 2.76, + "learning_rate": 8.620842341398844e-08, + "loss": 0.3974, + "step": 2045 + }, + { + "epoch": 2.76, + "learning_rate": 8.526391273885992e-08, + "loss": 0.4051, + "step": 2046 + }, + { + "epoch": 2.76, + "learning_rate": 8.432451492556254e-08, + "loss": 0.3779, + "step": 2047 + }, + { + "epoch": 2.76, + "learning_rate": 8.339023196313828e-08, + "loss": 0.3671, + "step": 2048 + }, + { + "epoch": 2.76, + "learning_rate": 8.246106582979891e-08, + "loss": 0.3906, + "step": 2049 + }, + { + "epoch": 2.76, + "learning_rate": 8.153701849292206e-08, + "loss": 0.4664, + "step": 2050 + }, + { + "epoch": 2.76, + "learning_rate": 8.061809190904768e-08, + "loss": 0.4236, + "step": 2051 + }, + { + "epoch": 2.77, + "learning_rate": 7.970428802387215e-08, + "loss": 0.4497, + "step": 2052 + }, + { + "epoch": 2.77, + "learning_rate": 7.879560877224607e-08, + "loss": 0.4444, + "step": 2053 + }, + { + "epoch": 2.77, + "learning_rate": 7.78920560781693e-08, + "loss": 0.3488, + "step": 2054 + }, + { + "epoch": 2.77, + "learning_rate": 7.69936318547862e-08, + "loss": 0.4435, + "step": 2055 + }, + { + "epoch": 2.77, + "learning_rate": 7.610033800438343e-08, + "loss": 0.3796, + "step": 2056 + }, + { + "epoch": 2.77, + "learning_rate": 7.521217641838441e-08, + "loss": 0.408, + "step": 2057 + }, + { + "epoch": 2.77, + "learning_rate": 7.432914897734483e-08, + "loss": 0.3746, + "step": 2058 + }, + { + "epoch": 2.77, + "learning_rate": 7.345125755095106e-08, + "loss": 0.4036, + "step": 2059 + }, + { + "epoch": 2.78, + "learning_rate": 7.257850399801342e-08, + "loss": 0.4409, + "step": 2060 + }, + { + "epoch": 2.78, + "learning_rate": 7.171089016646426e-08, + "loss": 0.4041, + "step": 2061 + }, + { + "epoch": 2.78, + "learning_rate": 7.0848417893353e-08, + "loss": 0.4634, + "step": 2062 + }, + { + "epoch": 2.78, + "learning_rate": 6.99910890048422e-08, + "loss": 0.363, + "step": 2063 + }, + { + "epoch": 2.78, + "learning_rate": 6.913890531620504e-08, + "loss": 0.3951, + "step": 2064 + }, + { + "epoch": 2.78, + "learning_rate": 6.829186863181958e-08, + "loss": 0.3652, + "step": 2065 + }, + { + "epoch": 2.78, + "learning_rate": 6.74499807451659e-08, + "loss": 0.3567, + "step": 2066 + }, + { + "epoch": 2.79, + "learning_rate": 6.66132434388228e-08, + "loss": 0.4512, + "step": 2067 + }, + { + "epoch": 2.79, + "learning_rate": 6.578165848446283e-08, + "loss": 0.3853, + "step": 2068 + }, + { + "epoch": 2.79, + "learning_rate": 6.495522764284945e-08, + "loss": 0.3633, + "step": 2069 + }, + { + "epoch": 2.79, + "learning_rate": 6.413395266383266e-08, + "loss": 0.4264, + "step": 2070 + }, + { + "epoch": 2.79, + "learning_rate": 6.331783528634644e-08, + "loss": 0.4159, + "step": 2071 + }, + { + "epoch": 2.79, + "learning_rate": 6.250687723840382e-08, + "loss": 0.3907, + "step": 2072 + }, + { + "epoch": 2.79, + "learning_rate": 6.170108023709349e-08, + "loss": 0.4451, + "step": 2073 + }, + { + "epoch": 2.8, + "learning_rate": 6.090044598857648e-08, + "loss": 0.3583, + "step": 2074 + }, + { + "epoch": 2.8, + "learning_rate": 6.010497618808258e-08, + "loss": 0.3693, + "step": 2075 + }, + { + "epoch": 2.8, + "learning_rate": 5.931467251990647e-08, + "loss": 0.3947, + "step": 2076 + }, + { + "epoch": 2.8, + "learning_rate": 5.852953665740429e-08, + "loss": 0.4163, + "step": 2077 + }, + { + "epoch": 2.8, + "learning_rate": 5.774957026298961e-08, + "loss": 0.4435, + "step": 2078 + }, + { + "epoch": 2.8, + "learning_rate": 5.697477498813164e-08, + "loss": 0.3707, + "step": 2079 + }, + { + "epoch": 2.8, + "learning_rate": 5.6205152473349237e-08, + "loss": 0.3735, + "step": 2080 + }, + { + "epoch": 2.8, + "learning_rate": 5.544070434820942e-08, + "loss": 0.3579, + "step": 2081 + }, + { + "epoch": 2.81, + "learning_rate": 5.468143223132244e-08, + "loss": 0.378, + "step": 2082 + }, + { + "epoch": 2.81, + "learning_rate": 5.392733773034009e-08, + "loss": 0.3652, + "step": 2083 + }, + { + "epoch": 2.81, + "learning_rate": 5.317842244195043e-08, + "loss": 0.447, + "step": 2084 + }, + { + "epoch": 2.81, + "learning_rate": 5.2434687951875286e-08, + "loss": 0.3933, + "step": 2085 + }, + { + "epoch": 2.81, + "learning_rate": 5.169613583486749e-08, + "loss": 0.4602, + "step": 2086 + }, + { + "epoch": 2.81, + "learning_rate": 5.096276765470643e-08, + "loss": 0.3483, + "step": 2087 + }, + { + "epoch": 2.81, + "learning_rate": 5.023458496419553e-08, + "loss": 0.387, + "step": 2088 + }, + { + "epoch": 2.82, + "learning_rate": 4.9511589305158705e-08, + "loss": 0.4173, + "step": 2089 + }, + { + "epoch": 2.82, + "learning_rate": 4.8793782208436667e-08, + "loss": 0.4008, + "step": 2090 + }, + { + "epoch": 2.82, + "learning_rate": 4.808116519388451e-08, + "loss": 0.4512, + "step": 2091 + }, + { + "epoch": 2.82, + "learning_rate": 4.737373977036774e-08, + "loss": 0.378, + "step": 2092 + }, + { + "epoch": 2.82, + "learning_rate": 4.66715074357596e-08, + "loss": 0.3606, + "step": 2093 + }, + { + "epoch": 2.82, + "learning_rate": 4.597446967693764e-08, + "loss": 0.4281, + "step": 2094 + }, + { + "epoch": 2.82, + "learning_rate": 4.528262796978017e-08, + "loss": 0.4019, + "step": 2095 + }, + { + "epoch": 2.82, + "learning_rate": 4.459598377916513e-08, + "loss": 0.3681, + "step": 2096 + }, + { + "epoch": 2.83, + "learning_rate": 4.391453855896344e-08, + "loss": 0.3394, + "step": 2097 + }, + { + "epoch": 2.83, + "learning_rate": 4.323829375203953e-08, + "loss": 0.4193, + "step": 2098 + }, + { + "epoch": 2.83, + "learning_rate": 4.256725079024554e-08, + "loss": 0.4238, + "step": 2099 + }, + { + "epoch": 2.83, + "learning_rate": 4.190141109442048e-08, + "loss": 0.3726, + "step": 2100 + }, + { + "epoch": 2.83, + "learning_rate": 4.1240776074384925e-08, + "loss": 0.4131, + "step": 2101 + }, + { + "epoch": 2.83, + "learning_rate": 4.05853471289408e-08, + "loss": 0.454, + "step": 2102 + }, + { + "epoch": 2.83, + "learning_rate": 3.993512564586521e-08, + "loss": 0.4243, + "step": 2103 + }, + { + "epoch": 2.84, + "learning_rate": 3.929011300191105e-08, + "loss": 0.3849, + "step": 2104 + }, + { + "epoch": 2.84, + "learning_rate": 3.865031056280083e-08, + "loss": 0.4222, + "step": 2105 + }, + { + "epoch": 2.84, + "learning_rate": 3.801571968322565e-08, + "loss": 0.3595, + "step": 2106 + }, + { + "epoch": 2.84, + "learning_rate": 3.73863417068418e-08, + "loss": 0.4077, + "step": 2107 + }, + { + "epoch": 2.84, + "learning_rate": 3.6762177966268295e-08, + "loss": 0.4935, + "step": 2108 + }, + { + "epoch": 2.84, + "learning_rate": 3.614322978308299e-08, + "loss": 0.37, + "step": 2109 + }, + { + "epoch": 2.84, + "learning_rate": 3.552949846782172e-08, + "loss": 0.4008, + "step": 2110 + }, + { + "epoch": 2.85, + "learning_rate": 3.4920985319973066e-08, + "loss": 0.4721, + "step": 2111 + }, + { + "epoch": 2.85, + "learning_rate": 3.4317691627978045e-08, + "loss": 0.4568, + "step": 2112 + }, + { + "epoch": 2.85, + "learning_rate": 3.371961866922513e-08, + "loss": 0.3928, + "step": 2113 + }, + { + "epoch": 2.85, + "learning_rate": 3.312676771004969e-08, + "loss": 0.3913, + "step": 2114 + }, + { + "epoch": 2.85, + "learning_rate": 3.2539140005728996e-08, + "loss": 0.3548, + "step": 2115 + }, + { + "epoch": 2.85, + "learning_rate": 3.195673680048222e-08, + "loss": 0.4286, + "step": 2116 + }, + { + "epoch": 2.85, + "learning_rate": 3.137955932746517e-08, + "loss": 0.4293, + "step": 2117 + }, + { + "epoch": 2.85, + "learning_rate": 3.0807608808769704e-08, + "loss": 0.4393, + "step": 2118 + }, + { + "epoch": 2.86, + "learning_rate": 3.024088645541989e-08, + "loss": 0.4279, + "step": 2119 + }, + { + "epoch": 2.86, + "learning_rate": 2.967939346737059e-08, + "loss": 0.4665, + "step": 2120 + }, + { + "epoch": 2.86, + "learning_rate": 2.9123131033503006e-08, + "loss": 0.4639, + "step": 2121 + }, + { + "epoch": 2.86, + "learning_rate": 2.857210033162472e-08, + "loss": 0.3849, + "step": 2122 + }, + { + "epoch": 2.86, + "learning_rate": 2.8026302528464944e-08, + "loss": 0.4199, + "step": 2123 + }, + { + "epoch": 2.86, + "learning_rate": 2.7485738779673143e-08, + "loss": 0.3177, + "step": 2124 + }, + { + "epoch": 2.86, + "learning_rate": 2.6950410229816815e-08, + "loss": 0.4504, + "step": 2125 + }, + { + "epoch": 2.87, + "learning_rate": 2.6420318012378155e-08, + "loss": 0.3864, + "step": 2126 + }, + { + "epoch": 2.87, + "learning_rate": 2.5895463249752674e-08, + "loss": 0.4191, + "step": 2127 + }, + { + "epoch": 2.87, + "learning_rate": 2.5375847053245582e-08, + "loss": 0.3691, + "step": 2128 + }, + { + "epoch": 2.87, + "learning_rate": 2.486147052307125e-08, + "loss": 0.3535, + "step": 2129 + }, + { + "epoch": 2.87, + "learning_rate": 2.4352334748348473e-08, + "loss": 0.4071, + "step": 2130 + }, + { + "epoch": 2.87, + "learning_rate": 2.384844080710047e-08, + "loss": 0.4438, + "step": 2131 + }, + { + "epoch": 2.87, + "learning_rate": 2.3349789766251573e-08, + "loss": 0.4033, + "step": 2132 + }, + { + "epoch": 2.87, + "learning_rate": 2.2856382681624435e-08, + "loss": 0.4, + "step": 2133 + }, + { + "epoch": 2.88, + "learning_rate": 2.2368220597938917e-08, + "loss": 0.3528, + "step": 2134 + }, + { + "epoch": 2.88, + "learning_rate": 2.188530454880905e-08, + "loss": 0.4389, + "step": 2135 + }, + { + "epoch": 2.88, + "learning_rate": 2.140763555674108e-08, + "loss": 0.5686, + "step": 2136 + }, + { + "epoch": 2.88, + "learning_rate": 2.093521463313153e-08, + "loss": 0.4433, + "step": 2137 + }, + { + "epoch": 2.88, + "learning_rate": 2.0468042778264975e-08, + "loss": 0.4439, + "step": 2138 + }, + { + "epoch": 2.88, + "learning_rate": 2.000612098131183e-08, + "loss": 0.4029, + "step": 2139 + }, + { + "epoch": 2.88, + "learning_rate": 1.954945022032584e-08, + "loss": 0.4409, + "step": 2140 + }, + { + "epoch": 2.89, + "learning_rate": 1.9098031462242704e-08, + "loss": 0.4548, + "step": 2141 + }, + { + "epoch": 2.89, + "learning_rate": 1.8651865662877576e-08, + "loss": 0.432, + "step": 2142 + }, + { + "epoch": 2.89, + "learning_rate": 1.8210953766923666e-08, + "loss": 0.3979, + "step": 2143 + }, + { + "epoch": 2.89, + "learning_rate": 1.7775296707949198e-08, + "loss": 0.4035, + "step": 2144 + }, + { + "epoch": 2.89, + "learning_rate": 1.7344895408396843e-08, + "loss": 0.4214, + "step": 2145 + }, + { + "epoch": 2.89, + "learning_rate": 1.6919750779580135e-08, + "loss": 0.4192, + "step": 2146 + }, + { + "epoch": 2.89, + "learning_rate": 1.6499863721682608e-08, + "loss": 0.4353, + "step": 2147 + }, + { + "epoch": 2.89, + "learning_rate": 1.6085235123755593e-08, + "loss": 0.4507, + "step": 2148 + }, + { + "epoch": 2.9, + "learning_rate": 1.5675865863716556e-08, + "loss": 0.3691, + "step": 2149 + }, + { + "epoch": 2.9, + "learning_rate": 1.527175680834686e-08, + "loss": 0.4019, + "step": 2150 + }, + { + "epoch": 2.9, + "learning_rate": 1.48729088132904e-08, + "loss": 0.4848, + "step": 2151 + }, + { + "epoch": 2.9, + "learning_rate": 1.447932272305108e-08, + "loss": 0.462, + "step": 2152 + }, + { + "epoch": 2.9, + "learning_rate": 1.4090999370992008e-08, + "loss": 0.4259, + "step": 2153 + }, + { + "epoch": 2.9, + "learning_rate": 1.3707939579332697e-08, + "loss": 0.4002, + "step": 2154 + }, + { + "epoch": 2.9, + "learning_rate": 1.333014415914824e-08, + "loss": 0.4353, + "step": 2155 + }, + { + "epoch": 2.91, + "learning_rate": 1.2957613910366817e-08, + "loss": 0.4033, + "step": 2156 + }, + { + "epoch": 2.91, + "learning_rate": 1.2590349621768582e-08, + "loss": 0.4429, + "step": 2157 + }, + { + "epoch": 2.91, + "learning_rate": 1.2228352070983719e-08, + "loss": 0.3881, + "step": 2158 + }, + { + "epoch": 2.91, + "learning_rate": 1.1871622024490493e-08, + "loss": 0.4118, + "step": 2159 + }, + { + "epoch": 2.91, + "learning_rate": 1.152016023761443e-08, + "loss": 0.3769, + "step": 2160 + }, + { + "epoch": 2.91, + "learning_rate": 1.117396745452609e-08, + "loss": 0.4302, + "step": 2161 + }, + { + "epoch": 2.91, + "learning_rate": 1.0833044408239957e-08, + "loss": 0.4266, + "step": 2162 + }, + { + "epoch": 2.92, + "learning_rate": 1.0497391820612213e-08, + "loss": 0.4099, + "step": 2163 + }, + { + "epoch": 2.92, + "learning_rate": 1.016701040233936e-08, + "loss": 0.4311, + "step": 2164 + }, + { + "epoch": 2.92, + "learning_rate": 9.841900852957664e-09, + "loss": 0.3809, + "step": 2165 + }, + { + "epoch": 2.92, + "learning_rate": 9.52206386084037e-09, + "loss": 0.4021, + "step": 2166 + }, + { + "epoch": 2.92, + "learning_rate": 9.207500103197154e-09, + "loss": 0.4613, + "step": 2167 + }, + { + "epoch": 2.92, + "learning_rate": 8.89821024607218e-09, + "loss": 0.421, + "step": 2168 + }, + { + "epoch": 2.92, + "learning_rate": 8.594194944342716e-09, + "loss": 0.4613, + "step": 2169 + }, + { + "epoch": 2.92, + "learning_rate": 8.295454841718565e-09, + "loss": 0.4266, + "step": 2170 + }, + { + "epoch": 2.93, + "learning_rate": 8.001990570739305e-09, + "loss": 0.4547, + "step": 2171 + }, + { + "epoch": 2.93, + "learning_rate": 7.713802752774279e-09, + "loss": 0.4345, + "step": 2172 + }, + { + "epoch": 2.93, + "learning_rate": 7.430891998019829e-09, + "loss": 0.4792, + "step": 2173 + }, + { + "epoch": 2.93, + "learning_rate": 7.153258905500115e-09, + "loss": 0.3994, + "step": 2174 + }, + { + "epoch": 2.93, + "learning_rate": 6.880904063063243e-09, + "loss": 0.4958, + "step": 2175 + }, + { + "epoch": 2.93, + "learning_rate": 6.613828047382642e-09, + "loss": 0.3446, + "step": 2176 + }, + { + "epoch": 2.93, + "learning_rate": 6.352031423953464e-09, + "loss": 0.4592, + "step": 2177 + }, + { + "epoch": 2.94, + "learning_rate": 6.095514747093689e-09, + "loss": 0.462, + "step": 2178 + }, + { + "epoch": 2.94, + "learning_rate": 5.844278559940242e-09, + "loss": 0.4107, + "step": 2179 + }, + { + "epoch": 2.94, + "learning_rate": 5.598323394450656e-09, + "loss": 0.4398, + "step": 2180 + }, + { + "epoch": 2.94, + "learning_rate": 5.357649771400019e-09, + "loss": 0.41, + "step": 2181 + }, + { + "epoch": 2.94, + "learning_rate": 5.122258200380703e-09, + "loss": 0.439, + "step": 2182 + }, + { + "epoch": 2.94, + "learning_rate": 4.892149179800965e-09, + "loss": 0.4193, + "step": 2183 + }, + { + "epoch": 2.94, + "learning_rate": 4.667323196884122e-09, + "loss": 0.3818, + "step": 2184 + }, + { + "epoch": 2.94, + "learning_rate": 4.4477807276677166e-09, + "loss": 0.3532, + "step": 2185 + }, + { + "epoch": 2.95, + "learning_rate": 4.2335222370012975e-09, + "loss": 0.4463, + "step": 2186 + }, + { + "epoch": 2.95, + "learning_rate": 4.02454817854725e-09, + "loss": 0.3973, + "step": 2187 + }, + { + "epoch": 2.95, + "learning_rate": 3.820858994778298e-09, + "loss": 0.4045, + "step": 2188 + }, + { + "epoch": 2.95, + "learning_rate": 3.6224551169777857e-09, + "loss": 0.3752, + "step": 2189 + }, + { + "epoch": 2.95, + "learning_rate": 3.429336965237451e-09, + "loss": 0.4554, + "step": 2190 + }, + { + "epoch": 2.95, + "learning_rate": 3.241504948457985e-09, + "loss": 0.3996, + "step": 2191 + }, + { + "epoch": 2.95, + "learning_rate": 3.0589594643468114e-09, + "loss": 0.4364, + "step": 2192 + }, + { + "epoch": 2.96, + "learning_rate": 2.8817008994183605e-09, + "loss": 0.4608, + "step": 2193 + }, + { + "epoch": 2.96, + "learning_rate": 2.709729628992408e-09, + "loss": 0.4668, + "step": 2194 + }, + { + "epoch": 2.96, + "learning_rate": 2.543046017194073e-09, + "loss": 0.4571, + "step": 2195 + }, + { + "epoch": 2.96, + "learning_rate": 2.381650416951875e-09, + "loss": 0.3813, + "step": 2196 + }, + { + "epoch": 2.96, + "learning_rate": 2.22554316999829e-09, + "loss": 0.4207, + "step": 2197 + }, + { + "epoch": 2.96, + "learning_rate": 2.074724606868639e-09, + "loss": 0.4508, + "step": 2198 + }, + { + "epoch": 2.96, + "learning_rate": 1.9291950468994235e-09, + "loss": 0.3823, + "step": 2199 + }, + { + "epoch": 2.96, + "learning_rate": 1.7889547982288814e-09, + "loss": 0.4723, + "step": 2200 + }, + { + "epoch": 2.97, + "learning_rate": 1.6540041577964295e-09, + "loss": 0.3912, + "step": 2201 + }, + { + "epoch": 2.97, + "learning_rate": 1.5243434113404454e-09, + "loss": 0.4202, + "step": 2202 + }, + { + "epoch": 2.97, + "learning_rate": 1.3999728333993768e-09, + "loss": 0.3735, + "step": 2203 + }, + { + "epoch": 2.97, + "learning_rate": 1.2808926873103533e-09, + "loss": 0.3546, + "step": 2204 + }, + { + "epoch": 2.97, + "learning_rate": 1.1671032252086323e-09, + "loss": 0.4547, + "step": 2205 + }, + { + "epoch": 2.97, + "learning_rate": 1.0586046880273205e-09, + "loss": 0.4189, + "step": 2206 + }, + { + "epoch": 2.97, + "learning_rate": 9.55397305496819e-10, + "loss": 0.3879, + "step": 2207 + }, + { + "epoch": 2.98, + "learning_rate": 8.574812961439915e-10, + "loss": 0.4131, + "step": 2208 + }, + { + "epoch": 2.98, + "learning_rate": 7.648568672921631e-10, + "loss": 0.3784, + "step": 2209 + }, + { + "epoch": 2.98, + "learning_rate": 6.775242150605655e-10, + "loss": 0.4237, + "step": 2210 + }, + { + "epoch": 2.98, + "learning_rate": 5.954835243635049e-10, + "loss": 0.485, + "step": 2211 + }, + { + "epoch": 2.98, + "learning_rate": 5.187349689106392e-10, + "loss": 0.4628, + "step": 2212 + }, + { + "epoch": 2.98, + "learning_rate": 4.472787112064225e-10, + "loss": 0.3842, + "step": 2213 + }, + { + "epoch": 2.98, + "learning_rate": 3.8111490254899573e-10, + "loss": 0.383, + "step": 2214 + }, + { + "epoch": 2.99, + "learning_rate": 3.202436830310185e-10, + "loss": 0.4817, + "step": 2215 + }, + { + "epoch": 2.99, + "learning_rate": 2.6466518153855926e-10, + "loss": 0.4141, + "step": 2216 + }, + { + "epoch": 2.99, + "learning_rate": 2.1437951575137284e-10, + "loss": 0.4678, + "step": 2217 + }, + { + "epoch": 2.99, + "learning_rate": 1.6938679214206776e-10, + "loss": 0.4977, + "step": 2218 + }, + { + "epoch": 2.99, + "learning_rate": 1.2968710597666135e-10, + "loss": 0.4091, + "step": 2219 + }, + { + "epoch": 2.99, + "learning_rate": 9.528054131346943e-11, + "loss": 0.3985, + "step": 2220 + }, + { + "epoch": 2.99, + "learning_rate": 6.616717100366155e-11, + "loss": 0.3509, + "step": 2221 + }, + { + "epoch": 2.99, + "learning_rate": 4.2347056690150714e-11, + "loss": 0.4045, + "step": 2222 + }, + { + "epoch": 3.0, + "learning_rate": 2.3820248809258707e-11, + "loss": 0.459, + "step": 2223 + }, + { + "epoch": 3.0, + "learning_rate": 1.0586786588495656e-11, + "loss": 0.3658, + "step": 2224 + }, + { + "epoch": 3.0, + "learning_rate": 2.6466980482253713e-12, + "loss": 0.3869, + "step": 2225 + }, + { + "epoch": 3.0, + "learning_rate": 0.0, + "loss": 0.5107, + "step": 2226 + }, + { + "epoch": 3.0, + "step": 2226, + "total_flos": 3.1693469351569e+18, + "train_loss": 0.44384249142452287, + "train_runtime": 25124.4427, + "train_samples_per_second": 11.339, + "train_steps_per_second": 0.089 + } + ], + "logging_steps": 1.0, + "max_steps": 2226, + "num_train_epochs": 3, + "save_steps": 10000.0, + "total_flos": 3.1693469351569e+18, + "trial_name": null, + "trial_params": null +}