diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,6544 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.0, + "eval_steps": 500, + "global_step": 1086, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 6.060606060606061e-07, + "loss": 0.7468, + "step": 1 + }, + { + "epoch": 0.01, + "learning_rate": 1.2121212121212122e-06, + "loss": 0.7543, + "step": 2 + }, + { + "epoch": 0.01, + "learning_rate": 1.8181818181818183e-06, + "loss": 0.7848, + "step": 3 + }, + { + "epoch": 0.01, + "learning_rate": 2.4242424242424244e-06, + "loss": 0.7554, + "step": 4 + }, + { + "epoch": 0.01, + "learning_rate": 3.0303030303030305e-06, + "loss": 0.7899, + "step": 5 + }, + { + "epoch": 0.02, + "learning_rate": 3.6363636363636366e-06, + "loss": 0.7236, + "step": 6 + }, + { + "epoch": 0.02, + "learning_rate": 4.242424242424243e-06, + "loss": 0.6904, + "step": 7 + }, + { + "epoch": 0.02, + "learning_rate": 4.848484848484849e-06, + "loss": 0.6955, + "step": 8 + }, + { + "epoch": 0.02, + "learning_rate": 5.4545454545454545e-06, + "loss": 0.6735, + "step": 9 + }, + { + "epoch": 0.03, + "learning_rate": 6.060606060606061e-06, + "loss": 0.7221, + "step": 10 + }, + { + "epoch": 0.03, + "learning_rate": 6.666666666666667e-06, + "loss": 0.6643, + "step": 11 + }, + { + "epoch": 0.03, + "learning_rate": 7.272727272727273e-06, + "loss": 0.67, + "step": 12 + }, + { + "epoch": 0.04, + "learning_rate": 7.87878787878788e-06, + "loss": 0.6701, + "step": 13 + }, + { + "epoch": 0.04, + "learning_rate": 8.484848484848486e-06, + "loss": 0.6776, + "step": 14 + }, + { + "epoch": 0.04, + "learning_rate": 9.090909090909091e-06, + "loss": 0.6976, + "step": 15 + }, + { + "epoch": 0.04, + "learning_rate": 9.696969696969698e-06, + "loss": 0.6557, + "step": 16 + }, + { + "epoch": 0.05, + "learning_rate": 1.0303030303030304e-05, + "loss": 0.6567, + "step": 17 + }, + { + "epoch": 0.05, + "learning_rate": 1.0909090909090909e-05, + "loss": 0.6358, + "step": 18 + }, + { + "epoch": 0.05, + "learning_rate": 1.1515151515151517e-05, + "loss": 0.6595, + "step": 19 + }, + { + "epoch": 0.06, + "learning_rate": 1.2121212121212122e-05, + "loss": 0.6306, + "step": 20 + }, + { + "epoch": 0.06, + "learning_rate": 1.2727272727272728e-05, + "loss": 0.6498, + "step": 21 + }, + { + "epoch": 0.06, + "learning_rate": 1.3333333333333333e-05, + "loss": 0.646, + "step": 22 + }, + { + "epoch": 0.06, + "learning_rate": 1.3939393939393942e-05, + "loss": 0.6837, + "step": 23 + }, + { + "epoch": 0.07, + "learning_rate": 1.4545454545454546e-05, + "loss": 0.6296, + "step": 24 + }, + { + "epoch": 0.07, + "learning_rate": 1.5151515151515153e-05, + "loss": 0.6357, + "step": 25 + }, + { + "epoch": 0.07, + "learning_rate": 1.575757575757576e-05, + "loss": 0.6448, + "step": 26 + }, + { + "epoch": 0.07, + "learning_rate": 1.6363636363636366e-05, + "loss": 0.6318, + "step": 27 + }, + { + "epoch": 0.08, + "learning_rate": 1.6969696969696972e-05, + "loss": 0.6354, + "step": 28 + }, + { + "epoch": 0.08, + "learning_rate": 1.7575757575757576e-05, + "loss": 0.6259, + "step": 29 + }, + { + "epoch": 0.08, + "learning_rate": 1.8181818181818182e-05, + "loss": 0.6216, + "step": 30 + }, + { + "epoch": 0.09, + "learning_rate": 1.8787878787878792e-05, + "loss": 0.6115, + "step": 31 + }, + { + "epoch": 0.09, + "learning_rate": 1.9393939393939395e-05, + "loss": 0.6146, + "step": 32 + }, + { + "epoch": 0.09, + "learning_rate": 2e-05, + "loss": 0.6415, + "step": 33 + }, + { + "epoch": 0.09, + "learning_rate": 1.9999955494602408e-05, + "loss": 0.6416, + "step": 34 + }, + { + "epoch": 0.1, + "learning_rate": 1.999982197880577e-05, + "loss": 0.6113, + "step": 35 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999599453798523e-05, + "loss": 0.6364, + "step": 36 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999287921561385e-05, + "loss": 0.6319, + "step": 37 + }, + { + "epoch": 0.1, + "learning_rate": 1.9998887384867323e-05, + "loss": 0.6109, + "step": 38 + }, + { + "epoch": 0.11, + "learning_rate": 1.9998397847281548e-05, + "loss": 0.6396, + "step": 39 + }, + { + "epoch": 0.11, + "learning_rate": 1.9997819313161476e-05, + "loss": 0.6393, + "step": 40 + }, + { + "epoch": 0.11, + "learning_rate": 1.9997151787656678e-05, + "loss": 0.6061, + "step": 41 + }, + { + "epoch": 0.12, + "learning_rate": 1.9996395276708856e-05, + "loss": 0.5879, + "step": 42 + }, + { + "epoch": 0.12, + "learning_rate": 1.9995549787051772e-05, + "loss": 0.6099, + "step": 43 + }, + { + "epoch": 0.12, + "learning_rate": 1.9994615326211203e-05, + "loss": 0.6371, + "step": 44 + }, + { + "epoch": 0.12, + "learning_rate": 1.9993591902504854e-05, + "loss": 0.6422, + "step": 45 + }, + { + "epoch": 0.13, + "learning_rate": 1.9992479525042305e-05, + "loss": 0.613, + "step": 46 + }, + { + "epoch": 0.13, + "learning_rate": 1.9991278203724908e-05, + "loss": 0.6171, + "step": 47 + }, + { + "epoch": 0.13, + "learning_rate": 1.9989987949245725e-05, + "loss": 0.6178, + "step": 48 + }, + { + "epoch": 0.14, + "learning_rate": 1.9988608773089413e-05, + "loss": 0.6064, + "step": 49 + }, + { + "epoch": 0.14, + "learning_rate": 1.998714068753213e-05, + "loss": 0.6083, + "step": 50 + }, + { + "epoch": 0.14, + "learning_rate": 1.9985583705641418e-05, + "loss": 0.6238, + "step": 51 + }, + { + "epoch": 0.14, + "learning_rate": 1.9983937841276103e-05, + "loss": 0.6101, + "step": 52 + }, + { + "epoch": 0.15, + "learning_rate": 1.9982203109086153e-05, + "loss": 0.6307, + "step": 53 + }, + { + "epoch": 0.15, + "learning_rate": 1.998037952451255e-05, + "loss": 0.6024, + "step": 54 + }, + { + "epoch": 0.15, + "learning_rate": 1.9978467103787176e-05, + "loss": 0.5762, + "step": 55 + }, + { + "epoch": 0.15, + "learning_rate": 1.9976465863932632e-05, + "loss": 0.5982, + "step": 56 + }, + { + "epoch": 0.16, + "learning_rate": 1.9974375822762117e-05, + "loss": 0.5804, + "step": 57 + }, + { + "epoch": 0.16, + "learning_rate": 1.9972196998879254e-05, + "loss": 0.5854, + "step": 58 + }, + { + "epoch": 0.16, + "learning_rate": 1.996992941167792e-05, + "loss": 0.6073, + "step": 59 + }, + { + "epoch": 0.17, + "learning_rate": 1.9967573081342103e-05, + "loss": 0.6606, + "step": 60 + }, + { + "epoch": 0.17, + "learning_rate": 1.9965128028845676e-05, + "loss": 0.5868, + "step": 61 + }, + { + "epoch": 0.17, + "learning_rate": 1.9962594275952246e-05, + "loss": 0.6212, + "step": 62 + }, + { + "epoch": 0.17, + "learning_rate": 1.9959971845214953e-05, + "loss": 0.6308, + "step": 63 + }, + { + "epoch": 0.18, + "learning_rate": 1.995726075997626e-05, + "loss": 0.624, + "step": 64 + }, + { + "epoch": 0.18, + "learning_rate": 1.9954461044367752e-05, + "loss": 0.6143, + "step": 65 + }, + { + "epoch": 0.18, + "learning_rate": 1.9951572723309918e-05, + "loss": 0.6167, + "step": 66 + }, + { + "epoch": 0.19, + "learning_rate": 1.994859582251194e-05, + "loss": 0.5796, + "step": 67 + }, + { + "epoch": 0.19, + "learning_rate": 1.9945530368471444e-05, + "loss": 0.5787, + "step": 68 + }, + { + "epoch": 0.19, + "learning_rate": 1.9942376388474282e-05, + "loss": 0.6278, + "step": 69 + }, + { + "epoch": 0.19, + "learning_rate": 1.9939133910594276e-05, + "loss": 0.5963, + "step": 70 + }, + { + "epoch": 0.2, + "learning_rate": 1.9935802963692988e-05, + "loss": 0.6121, + "step": 71 + }, + { + "epoch": 0.2, + "learning_rate": 1.9932383577419432e-05, + "loss": 0.6191, + "step": 72 + }, + { + "epoch": 0.2, + "learning_rate": 1.992887578220984e-05, + "loss": 0.5994, + "step": 73 + }, + { + "epoch": 0.2, + "learning_rate": 1.9925279609287384e-05, + "loss": 0.5929, + "step": 74 + }, + { + "epoch": 0.21, + "learning_rate": 1.9921595090661872e-05, + "loss": 0.6216, + "step": 75 + }, + { + "epoch": 0.21, + "learning_rate": 1.9917822259129508e-05, + "loss": 0.6072, + "step": 76 + }, + { + "epoch": 0.21, + "learning_rate": 1.991396114827256e-05, + "loss": 0.6063, + "step": 77 + }, + { + "epoch": 0.22, + "learning_rate": 1.9910011792459086e-05, + "loss": 0.6301, + "step": 78 + }, + { + "epoch": 0.22, + "learning_rate": 1.9905974226842614e-05, + "loss": 0.5881, + "step": 79 + }, + { + "epoch": 0.22, + "learning_rate": 1.9901848487361834e-05, + "loss": 0.5886, + "step": 80 + }, + { + "epoch": 0.22, + "learning_rate": 1.989763461074029e-05, + "loss": 0.6074, + "step": 81 + }, + { + "epoch": 0.23, + "learning_rate": 1.989333263448602e-05, + "loss": 0.606, + "step": 82 + }, + { + "epoch": 0.23, + "learning_rate": 1.9888942596891267e-05, + "loss": 0.6321, + "step": 83 + }, + { + "epoch": 0.23, + "learning_rate": 1.9884464537032103e-05, + "loss": 0.5899, + "step": 84 + }, + { + "epoch": 0.23, + "learning_rate": 1.9879898494768093e-05, + "loss": 0.6051, + "step": 85 + }, + { + "epoch": 0.24, + "learning_rate": 1.987524451074194e-05, + "loss": 0.6085, + "step": 86 + }, + { + "epoch": 0.24, + "learning_rate": 1.9870502626379127e-05, + "loss": 0.586, + "step": 87 + }, + { + "epoch": 0.24, + "learning_rate": 1.9865672883887553e-05, + "loss": 0.5848, + "step": 88 + }, + { + "epoch": 0.25, + "learning_rate": 1.9860755326257127e-05, + "loss": 0.5696, + "step": 89 + }, + { + "epoch": 0.25, + "learning_rate": 1.985574999725943e-05, + "loss": 0.6011, + "step": 90 + }, + { + "epoch": 0.25, + "learning_rate": 1.985065694144728e-05, + "loss": 0.6275, + "step": 91 + }, + { + "epoch": 0.25, + "learning_rate": 1.9845476204154387e-05, + "loss": 0.5999, + "step": 92 + }, + { + "epoch": 0.26, + "learning_rate": 1.9840207831494903e-05, + "loss": 0.6029, + "step": 93 + }, + { + "epoch": 0.26, + "learning_rate": 1.9834851870363024e-05, + "loss": 0.5926, + "step": 94 + }, + { + "epoch": 0.26, + "learning_rate": 1.9829408368432592e-05, + "loss": 0.6029, + "step": 95 + }, + { + "epoch": 0.27, + "learning_rate": 1.9823877374156647e-05, + "loss": 0.5967, + "step": 96 + }, + { + "epoch": 0.27, + "learning_rate": 1.9818258936767013e-05, + "loss": 0.588, + "step": 97 + }, + { + "epoch": 0.27, + "learning_rate": 1.9812553106273848e-05, + "loss": 0.5919, + "step": 98 + }, + { + "epoch": 0.27, + "learning_rate": 1.98067599334652e-05, + "loss": 0.6277, + "step": 99 + }, + { + "epoch": 0.28, + "learning_rate": 1.980087946990656e-05, + "loss": 0.6105, + "step": 100 + }, + { + "epoch": 0.28, + "learning_rate": 1.9794911767940405e-05, + "loss": 0.5777, + "step": 101 + }, + { + "epoch": 0.28, + "learning_rate": 1.978885688068572e-05, + "loss": 0.5907, + "step": 102 + }, + { + "epoch": 0.28, + "learning_rate": 1.9782714862037544e-05, + "loss": 0.6131, + "step": 103 + }, + { + "epoch": 0.29, + "learning_rate": 1.977648576666647e-05, + "loss": 0.5816, + "step": 104 + }, + { + "epoch": 0.29, + "learning_rate": 1.977016965001817e-05, + "loss": 0.6135, + "step": 105 + }, + { + "epoch": 0.29, + "learning_rate": 1.9763766568312906e-05, + "loss": 0.578, + "step": 106 + }, + { + "epoch": 0.3, + "learning_rate": 1.9757276578545013e-05, + "loss": 0.5997, + "step": 107 + }, + { + "epoch": 0.3, + "learning_rate": 1.9750699738482403e-05, + "loss": 0.5733, + "step": 108 + }, + { + "epoch": 0.3, + "learning_rate": 1.974403610666606e-05, + "loss": 0.6063, + "step": 109 + }, + { + "epoch": 0.3, + "learning_rate": 1.9737285742409495e-05, + "loss": 0.5773, + "step": 110 + }, + { + "epoch": 0.31, + "learning_rate": 1.973044870579824e-05, + "loss": 0.5972, + "step": 111 + }, + { + "epoch": 0.31, + "learning_rate": 1.97235250576893e-05, + "loss": 0.6071, + "step": 112 + }, + { + "epoch": 0.31, + "learning_rate": 1.971651485971062e-05, + "loss": 0.5858, + "step": 113 + }, + { + "epoch": 0.31, + "learning_rate": 1.9709418174260523e-05, + "loss": 0.6153, + "step": 114 + }, + { + "epoch": 0.32, + "learning_rate": 1.9702235064507175e-05, + "loss": 0.6004, + "step": 115 + }, + { + "epoch": 0.32, + "learning_rate": 1.9694965594388008e-05, + "loss": 0.608, + "step": 116 + }, + { + "epoch": 0.32, + "learning_rate": 1.9687609828609156e-05, + "loss": 0.6, + "step": 117 + }, + { + "epoch": 0.33, + "learning_rate": 1.9680167832644868e-05, + "loss": 0.634, + "step": 118 + }, + { + "epoch": 0.33, + "learning_rate": 1.9672639672736947e-05, + "loss": 0.6051, + "step": 119 + }, + { + "epoch": 0.33, + "learning_rate": 1.966502541589414e-05, + "loss": 0.5959, + "step": 120 + }, + { + "epoch": 0.33, + "learning_rate": 1.9657325129891558e-05, + "loss": 0.5828, + "step": 121 + }, + { + "epoch": 0.34, + "learning_rate": 1.9649538883270053e-05, + "loss": 0.6068, + "step": 122 + }, + { + "epoch": 0.34, + "learning_rate": 1.9641666745335626e-05, + "loss": 0.6166, + "step": 123 + }, + { + "epoch": 0.34, + "learning_rate": 1.9633708786158803e-05, + "loss": 0.5812, + "step": 124 + }, + { + "epoch": 0.35, + "learning_rate": 1.962566507657402e-05, + "loss": 0.6173, + "step": 125 + }, + { + "epoch": 0.35, + "learning_rate": 1.961753568817896e-05, + "loss": 0.5814, + "step": 126 + }, + { + "epoch": 0.35, + "learning_rate": 1.9609320693333967e-05, + "loss": 0.6002, + "step": 127 + }, + { + "epoch": 0.35, + "learning_rate": 1.960102016516136e-05, + "loss": 0.6289, + "step": 128 + }, + { + "epoch": 0.36, + "learning_rate": 1.9592634177544803e-05, + "loss": 0.6091, + "step": 129 + }, + { + "epoch": 0.36, + "learning_rate": 1.9584162805128636e-05, + "loss": 0.6092, + "step": 130 + }, + { + "epoch": 0.36, + "learning_rate": 1.9575606123317215e-05, + "loss": 0.601, + "step": 131 + }, + { + "epoch": 0.36, + "learning_rate": 1.9566964208274254e-05, + "loss": 0.5846, + "step": 132 + }, + { + "epoch": 0.37, + "learning_rate": 1.9558237136922117e-05, + "loss": 0.5726, + "step": 133 + }, + { + "epoch": 0.37, + "learning_rate": 1.954942498694117e-05, + "loss": 0.6019, + "step": 134 + }, + { + "epoch": 0.37, + "learning_rate": 1.9540527836769047e-05, + "loss": 0.5931, + "step": 135 + }, + { + "epoch": 0.38, + "learning_rate": 1.95315457656e-05, + "loss": 0.573, + "step": 136 + }, + { + "epoch": 0.38, + "learning_rate": 1.9522478853384154e-05, + "loss": 0.5933, + "step": 137 + }, + { + "epoch": 0.38, + "learning_rate": 1.951332718082682e-05, + "loss": 0.6012, + "step": 138 + }, + { + "epoch": 0.38, + "learning_rate": 1.950409082938776e-05, + "loss": 0.6078, + "step": 139 + }, + { + "epoch": 0.39, + "learning_rate": 1.949476988128047e-05, + "loss": 0.6186, + "step": 140 + }, + { + "epoch": 0.39, + "learning_rate": 1.9485364419471454e-05, + "loss": 0.5668, + "step": 141 + }, + { + "epoch": 0.39, + "learning_rate": 1.947587452767948e-05, + "loss": 0.5752, + "step": 142 + }, + { + "epoch": 0.4, + "learning_rate": 1.946630029037482e-05, + "loss": 0.5994, + "step": 143 + }, + { + "epoch": 0.4, + "learning_rate": 1.9456641792778527e-05, + "loss": 0.5723, + "step": 144 + }, + { + "epoch": 0.4, + "learning_rate": 1.9446899120861653e-05, + "loss": 0.5882, + "step": 145 + }, + { + "epoch": 0.4, + "learning_rate": 1.94370723613445e-05, + "loss": 0.5831, + "step": 146 + }, + { + "epoch": 0.41, + "learning_rate": 1.9427161601695833e-05, + "loss": 0.5695, + "step": 147 + }, + { + "epoch": 0.41, + "learning_rate": 1.941716693013211e-05, + "loss": 0.5691, + "step": 148 + }, + { + "epoch": 0.41, + "learning_rate": 1.94070884356167e-05, + "loss": 0.5929, + "step": 149 + }, + { + "epoch": 0.41, + "learning_rate": 1.9396926207859085e-05, + "loss": 0.5601, + "step": 150 + }, + { + "epoch": 0.42, + "learning_rate": 1.938668033731406e-05, + "loss": 0.5864, + "step": 151 + }, + { + "epoch": 0.42, + "learning_rate": 1.9376350915180935e-05, + "loss": 0.588, + "step": 152 + }, + { + "epoch": 0.42, + "learning_rate": 1.9365938033402715e-05, + "loss": 0.591, + "step": 153 + }, + { + "epoch": 0.43, + "learning_rate": 1.9355441784665295e-05, + "loss": 0.6012, + "step": 154 + }, + { + "epoch": 0.43, + "learning_rate": 1.9344862262396612e-05, + "loss": 0.5935, + "step": 155 + }, + { + "epoch": 0.43, + "learning_rate": 1.933419956076584e-05, + "loss": 0.5993, + "step": 156 + }, + { + "epoch": 0.43, + "learning_rate": 1.932345377468253e-05, + "loss": 0.6078, + "step": 157 + }, + { + "epoch": 0.44, + "learning_rate": 1.9312624999795784e-05, + "loss": 0.585, + "step": 158 + }, + { + "epoch": 0.44, + "learning_rate": 1.9301713332493386e-05, + "loss": 0.5549, + "step": 159 + }, + { + "epoch": 0.44, + "learning_rate": 1.929071886990095e-05, + "loss": 0.5647, + "step": 160 + }, + { + "epoch": 0.44, + "learning_rate": 1.9279641709881067e-05, + "loss": 0.5995, + "step": 161 + }, + { + "epoch": 0.45, + "learning_rate": 1.926848195103242e-05, + "loss": 0.5751, + "step": 162 + }, + { + "epoch": 0.45, + "learning_rate": 1.9257239692688907e-05, + "loss": 0.59, + "step": 163 + }, + { + "epoch": 0.45, + "learning_rate": 1.9245915034918763e-05, + "loss": 0.5716, + "step": 164 + }, + { + "epoch": 0.46, + "learning_rate": 1.923450807852367e-05, + "loss": 0.5715, + "step": 165 + }, + { + "epoch": 0.46, + "learning_rate": 1.922301892503785e-05, + "loss": 0.6003, + "step": 166 + }, + { + "epoch": 0.46, + "learning_rate": 1.9211447676727174e-05, + "loss": 0.572, + "step": 167 + }, + { + "epoch": 0.46, + "learning_rate": 1.9199794436588244e-05, + "loss": 0.5934, + "step": 168 + }, + { + "epoch": 0.47, + "learning_rate": 1.9188059308347475e-05, + "loss": 0.6141, + "step": 169 + }, + { + "epoch": 0.47, + "learning_rate": 1.9176242396460184e-05, + "loss": 0.5905, + "step": 170 + }, + { + "epoch": 0.47, + "learning_rate": 1.916434380610963e-05, + "loss": 0.5991, + "step": 171 + }, + { + "epoch": 0.48, + "learning_rate": 1.9152363643206126e-05, + "loss": 0.5836, + "step": 172 + }, + { + "epoch": 0.48, + "learning_rate": 1.9140302014386044e-05, + "loss": 0.5794, + "step": 173 + }, + { + "epoch": 0.48, + "learning_rate": 1.912815902701091e-05, + "loss": 0.6077, + "step": 174 + }, + { + "epoch": 0.48, + "learning_rate": 1.911593478916641e-05, + "loss": 0.5837, + "step": 175 + }, + { + "epoch": 0.49, + "learning_rate": 1.9103629409661468e-05, + "loss": 0.579, + "step": 176 + }, + { + "epoch": 0.49, + "learning_rate": 1.909124299802724e-05, + "loss": 0.5888, + "step": 177 + }, + { + "epoch": 0.49, + "learning_rate": 1.9078775664516157e-05, + "loss": 0.5875, + "step": 178 + }, + { + "epoch": 0.49, + "learning_rate": 1.906622752010095e-05, + "loss": 0.6022, + "step": 179 + }, + { + "epoch": 0.5, + "learning_rate": 1.9053598676473656e-05, + "loss": 0.5567, + "step": 180 + }, + { + "epoch": 0.5, + "learning_rate": 1.904088924604461e-05, + "loss": 0.584, + "step": 181 + }, + { + "epoch": 0.5, + "learning_rate": 1.9028099341941457e-05, + "loss": 0.5628, + "step": 182 + }, + { + "epoch": 0.51, + "learning_rate": 1.9015229078008163e-05, + "loss": 0.5586, + "step": 183 + }, + { + "epoch": 0.51, + "learning_rate": 1.900227856880396e-05, + "loss": 0.5892, + "step": 184 + }, + { + "epoch": 0.51, + "learning_rate": 1.898924792960237e-05, + "loss": 0.5874, + "step": 185 + }, + { + "epoch": 0.51, + "learning_rate": 1.8976137276390145e-05, + "loss": 0.6056, + "step": 186 + }, + { + "epoch": 0.52, + "learning_rate": 1.8962946725866246e-05, + "loss": 0.588, + "step": 187 + }, + { + "epoch": 0.52, + "learning_rate": 1.8949676395440818e-05, + "loss": 0.5679, + "step": 188 + }, + { + "epoch": 0.52, + "learning_rate": 1.8936326403234125e-05, + "loss": 0.5755, + "step": 189 + }, + { + "epoch": 0.52, + "learning_rate": 1.892289686807551e-05, + "loss": 0.5997, + "step": 190 + }, + { + "epoch": 0.53, + "learning_rate": 1.8909387909502335e-05, + "loss": 0.6096, + "step": 191 + }, + { + "epoch": 0.53, + "learning_rate": 1.8895799647758912e-05, + "loss": 0.5858, + "step": 192 + }, + { + "epoch": 0.53, + "learning_rate": 1.888213220379544e-05, + "loss": 0.59, + "step": 193 + }, + { + "epoch": 0.54, + "learning_rate": 1.8868385699266928e-05, + "loss": 0.5967, + "step": 194 + }, + { + "epoch": 0.54, + "learning_rate": 1.8854560256532098e-05, + "loss": 0.5666, + "step": 195 + }, + { + "epoch": 0.54, + "learning_rate": 1.8840655998652324e-05, + "loss": 0.5586, + "step": 196 + }, + { + "epoch": 0.54, + "learning_rate": 1.8826673049390508e-05, + "loss": 0.5788, + "step": 197 + }, + { + "epoch": 0.55, + "learning_rate": 1.881261153320999e-05, + "loss": 0.5456, + "step": 198 + }, + { + "epoch": 0.55, + "learning_rate": 1.8798471575273445e-05, + "loss": 0.5741, + "step": 199 + }, + { + "epoch": 0.55, + "learning_rate": 1.8784253301441767e-05, + "loss": 0.5729, + "step": 200 + }, + { + "epoch": 0.56, + "learning_rate": 1.8769956838272937e-05, + "loss": 0.5792, + "step": 201 + }, + { + "epoch": 0.56, + "learning_rate": 1.8755582313020912e-05, + "loss": 0.5823, + "step": 202 + }, + { + "epoch": 0.56, + "learning_rate": 1.8741129853634483e-05, + "loss": 0.6096, + "step": 203 + }, + { + "epoch": 0.56, + "learning_rate": 1.8726599588756144e-05, + "loss": 0.543, + "step": 204 + }, + { + "epoch": 0.57, + "learning_rate": 1.8711991647720936e-05, + "loss": 0.6138, + "step": 205 + }, + { + "epoch": 0.57, + "learning_rate": 1.8697306160555303e-05, + "loss": 0.5741, + "step": 206 + }, + { + "epoch": 0.57, + "learning_rate": 1.868254325797594e-05, + "loss": 0.593, + "step": 207 + }, + { + "epoch": 0.57, + "learning_rate": 1.8667703071388607e-05, + "loss": 0.5786, + "step": 208 + }, + { + "epoch": 0.58, + "learning_rate": 1.8652785732886988e-05, + "loss": 0.563, + "step": 209 + }, + { + "epoch": 0.58, + "learning_rate": 1.8637791375251505e-05, + "loss": 0.6006, + "step": 210 + }, + { + "epoch": 0.58, + "learning_rate": 1.862272013194812e-05, + "loss": 0.5927, + "step": 211 + }, + { + "epoch": 0.59, + "learning_rate": 1.8607572137127175e-05, + "loss": 0.6052, + "step": 212 + }, + { + "epoch": 0.59, + "learning_rate": 1.859234752562217e-05, + "loss": 0.5828, + "step": 213 + }, + { + "epoch": 0.59, + "learning_rate": 1.8577046432948586e-05, + "loss": 0.5507, + "step": 214 + }, + { + "epoch": 0.59, + "learning_rate": 1.8561668995302668e-05, + "loss": 0.5893, + "step": 215 + }, + { + "epoch": 0.6, + "learning_rate": 1.8546215349560204e-05, + "loss": 0.5711, + "step": 216 + }, + { + "epoch": 0.6, + "learning_rate": 1.853068563327533e-05, + "loss": 0.5637, + "step": 217 + }, + { + "epoch": 0.6, + "learning_rate": 1.851507998467929e-05, + "loss": 0.5787, + "step": 218 + }, + { + "epoch": 0.6, + "learning_rate": 1.849939854267919e-05, + "loss": 0.5787, + "step": 219 + }, + { + "epoch": 0.61, + "learning_rate": 1.8483641446856798e-05, + "loss": 0.5654, + "step": 220 + }, + { + "epoch": 0.61, + "learning_rate": 1.8467808837467277e-05, + "loss": 0.5978, + "step": 221 + }, + { + "epoch": 0.61, + "learning_rate": 1.845190085543795e-05, + "loss": 0.5756, + "step": 222 + }, + { + "epoch": 0.62, + "learning_rate": 1.843591764236702e-05, + "loss": 0.632, + "step": 223 + }, + { + "epoch": 0.62, + "learning_rate": 1.841985934052234e-05, + "loss": 0.5594, + "step": 224 + }, + { + "epoch": 0.62, + "learning_rate": 1.840372609284013e-05, + "loss": 0.5717, + "step": 225 + }, + { + "epoch": 0.62, + "learning_rate": 1.8387518042923715e-05, + "loss": 0.5942, + "step": 226 + }, + { + "epoch": 0.63, + "learning_rate": 1.8371235335042236e-05, + "loss": 0.5556, + "step": 227 + }, + { + "epoch": 0.63, + "learning_rate": 1.8354878114129368e-05, + "loss": 0.5739, + "step": 228 + }, + { + "epoch": 0.63, + "learning_rate": 1.833844652578203e-05, + "loss": 0.5416, + "step": 229 + }, + { + "epoch": 0.64, + "learning_rate": 1.832194071625911e-05, + "loss": 0.5592, + "step": 230 + }, + { + "epoch": 0.64, + "learning_rate": 1.8305360832480118e-05, + "loss": 0.5863, + "step": 231 + }, + { + "epoch": 0.64, + "learning_rate": 1.8288707022023926e-05, + "loss": 0.5908, + "step": 232 + }, + { + "epoch": 0.64, + "learning_rate": 1.827197943312742e-05, + "loss": 0.5676, + "step": 233 + }, + { + "epoch": 0.65, + "learning_rate": 1.82551782146842e-05, + "loss": 0.5806, + "step": 234 + }, + { + "epoch": 0.65, + "learning_rate": 1.8238303516243253e-05, + "loss": 0.5638, + "step": 235 + }, + { + "epoch": 0.65, + "learning_rate": 1.8221355488007606e-05, + "loss": 0.5671, + "step": 236 + }, + { + "epoch": 0.65, + "learning_rate": 1.8204334280833005e-05, + "loss": 0.5803, + "step": 237 + }, + { + "epoch": 0.66, + "learning_rate": 1.8187240046226576e-05, + "loss": 0.5743, + "step": 238 + }, + { + "epoch": 0.66, + "learning_rate": 1.817007293634545e-05, + "loss": 0.569, + "step": 239 + }, + { + "epoch": 0.66, + "learning_rate": 1.8152833103995443e-05, + "loss": 0.5674, + "step": 240 + }, + { + "epoch": 0.67, + "learning_rate": 1.8135520702629677e-05, + "loss": 0.5833, + "step": 241 + }, + { + "epoch": 0.67, + "learning_rate": 1.8118135886347207e-05, + "loss": 0.5816, + "step": 242 + }, + { + "epoch": 0.67, + "learning_rate": 1.8100678809891668e-05, + "loss": 0.5639, + "step": 243 + }, + { + "epoch": 0.67, + "learning_rate": 1.8083149628649887e-05, + "loss": 0.5853, + "step": 244 + }, + { + "epoch": 0.68, + "learning_rate": 1.8065548498650495e-05, + "loss": 0.601, + "step": 245 + }, + { + "epoch": 0.68, + "learning_rate": 1.8047875576562556e-05, + "loss": 0.5554, + "step": 246 + }, + { + "epoch": 0.68, + "learning_rate": 1.803013101969415e-05, + "loss": 0.5508, + "step": 247 + }, + { + "epoch": 0.69, + "learning_rate": 1.801231498599099e-05, + "loss": 0.5544, + "step": 248 + }, + { + "epoch": 0.69, + "learning_rate": 1.7994427634035016e-05, + "loss": 0.5735, + "step": 249 + }, + { + "epoch": 0.69, + "learning_rate": 1.7976469123042955e-05, + "loss": 0.559, + "step": 250 + }, + { + "epoch": 0.69, + "learning_rate": 1.7958439612864954e-05, + "loss": 0.6069, + "step": 251 + }, + { + "epoch": 0.7, + "learning_rate": 1.7940339263983112e-05, + "loss": 0.5803, + "step": 252 + }, + { + "epoch": 0.7, + "learning_rate": 1.7922168237510076e-05, + "loss": 0.5735, + "step": 253 + }, + { + "epoch": 0.7, + "learning_rate": 1.7903926695187595e-05, + "loss": 0.6066, + "step": 254 + }, + { + "epoch": 0.7, + "learning_rate": 1.7885614799385086e-05, + "loss": 0.555, + "step": 255 + }, + { + "epoch": 0.71, + "learning_rate": 1.78672327130982e-05, + "loss": 0.5682, + "step": 256 + }, + { + "epoch": 0.71, + "learning_rate": 1.7848780599947334e-05, + "loss": 0.5471, + "step": 257 + }, + { + "epoch": 0.71, + "learning_rate": 1.7830258624176224e-05, + "loss": 0.565, + "step": 258 + }, + { + "epoch": 0.72, + "learning_rate": 1.7811666950650445e-05, + "loss": 0.5991, + "step": 259 + }, + { + "epoch": 0.72, + "learning_rate": 1.7793005744855967e-05, + "loss": 0.5779, + "step": 260 + }, + { + "epoch": 0.72, + "learning_rate": 1.777427517289766e-05, + "loss": 0.5721, + "step": 261 + }, + { + "epoch": 0.72, + "learning_rate": 1.775547540149784e-05, + "loss": 0.5607, + "step": 262 + }, + { + "epoch": 0.73, + "learning_rate": 1.7736606597994763e-05, + "loss": 0.5671, + "step": 263 + }, + { + "epoch": 0.73, + "learning_rate": 1.7717668930341152e-05, + "loss": 0.5918, + "step": 264 + }, + { + "epoch": 0.73, + "learning_rate": 1.769866256710269e-05, + "loss": 0.5635, + "step": 265 + }, + { + "epoch": 0.73, + "learning_rate": 1.767958767745653e-05, + "loss": 0.5632, + "step": 266 + }, + { + "epoch": 0.74, + "learning_rate": 1.766044443118978e-05, + "loss": 0.5837, + "step": 267 + }, + { + "epoch": 0.74, + "learning_rate": 1.7641232998698e-05, + "loss": 0.5674, + "step": 268 + }, + { + "epoch": 0.74, + "learning_rate": 1.7621953550983677e-05, + "loss": 0.5711, + "step": 269 + }, + { + "epoch": 0.75, + "learning_rate": 1.7602606259654704e-05, + "loss": 0.5841, + "step": 270 + }, + { + "epoch": 0.75, + "learning_rate": 1.7583191296922866e-05, + "loss": 0.5553, + "step": 271 + }, + { + "epoch": 0.75, + "learning_rate": 1.7563708835602286e-05, + "loss": 0.5483, + "step": 272 + }, + { + "epoch": 0.75, + "learning_rate": 1.7544159049107902e-05, + "loss": 0.5745, + "step": 273 + }, + { + "epoch": 0.76, + "learning_rate": 1.7524542111453923e-05, + "loss": 0.5507, + "step": 274 + }, + { + "epoch": 0.76, + "learning_rate": 1.7504858197252263e-05, + "loss": 0.5859, + "step": 275 + }, + { + "epoch": 0.76, + "learning_rate": 1.7485107481711014e-05, + "loss": 0.5756, + "step": 276 + }, + { + "epoch": 0.77, + "learning_rate": 1.746529014063286e-05, + "loss": 0.58, + "step": 277 + }, + { + "epoch": 0.77, + "learning_rate": 1.7445406350413533e-05, + "loss": 0.5871, + "step": 278 + }, + { + "epoch": 0.77, + "learning_rate": 1.7425456288040236e-05, + "loss": 0.5763, + "step": 279 + }, + { + "epoch": 0.77, + "learning_rate": 1.740544013109005e-05, + "loss": 0.5806, + "step": 280 + }, + { + "epoch": 0.78, + "learning_rate": 1.738535805772838e-05, + "loss": 0.5669, + "step": 281 + }, + { + "epoch": 0.78, + "learning_rate": 1.736521024670737e-05, + "loss": 0.6098, + "step": 282 + }, + { + "epoch": 0.78, + "learning_rate": 1.7344996877364282e-05, + "loss": 0.5752, + "step": 283 + }, + { + "epoch": 0.78, + "learning_rate": 1.732471812961992e-05, + "loss": 0.544, + "step": 284 + }, + { + "epoch": 0.79, + "learning_rate": 1.7304374183977032e-05, + "loss": 0.5334, + "step": 285 + }, + { + "epoch": 0.79, + "learning_rate": 1.72839652215187e-05, + "loss": 0.5391, + "step": 286 + }, + { + "epoch": 0.79, + "learning_rate": 1.7263491423906716e-05, + "loss": 0.5541, + "step": 287 + }, + { + "epoch": 0.8, + "learning_rate": 1.7242952973379983e-05, + "loss": 0.5868, + "step": 288 + }, + { + "epoch": 0.8, + "learning_rate": 1.7222350052752883e-05, + "loss": 0.5443, + "step": 289 + }, + { + "epoch": 0.8, + "learning_rate": 1.720168284541365e-05, + "loss": 0.5885, + "step": 290 + }, + { + "epoch": 0.8, + "learning_rate": 1.7180951535322742e-05, + "loss": 0.5516, + "step": 291 + }, + { + "epoch": 0.81, + "learning_rate": 1.7160156307011197e-05, + "loss": 0.5732, + "step": 292 + }, + { + "epoch": 0.81, + "learning_rate": 1.7139297345578992e-05, + "loss": 0.5804, + "step": 293 + }, + { + "epoch": 0.81, + "learning_rate": 1.7118374836693407e-05, + "loss": 0.5837, + "step": 294 + }, + { + "epoch": 0.81, + "learning_rate": 1.7097388966587355e-05, + "loss": 0.5721, + "step": 295 + }, + { + "epoch": 0.82, + "learning_rate": 1.7076339922057736e-05, + "loss": 0.5694, + "step": 296 + }, + { + "epoch": 0.82, + "learning_rate": 1.705522789046377e-05, + "loss": 0.5661, + "step": 297 + }, + { + "epoch": 0.82, + "learning_rate": 1.7034053059725325e-05, + "loss": 0.5817, + "step": 298 + }, + { + "epoch": 0.83, + "learning_rate": 1.7012815618321256e-05, + "loss": 0.5695, + "step": 299 + }, + { + "epoch": 0.83, + "learning_rate": 1.6991515755287715e-05, + "loss": 0.583, + "step": 300 + }, + { + "epoch": 0.83, + "learning_rate": 1.697015366021648e-05, + "loss": 0.598, + "step": 301 + }, + { + "epoch": 0.83, + "learning_rate": 1.694872952325326e-05, + "loss": 0.542, + "step": 302 + }, + { + "epoch": 0.84, + "learning_rate": 1.6927243535095995e-05, + "loss": 0.5527, + "step": 303 + }, + { + "epoch": 0.84, + "learning_rate": 1.690569588699318e-05, + "loss": 0.5398, + "step": 304 + }, + { + "epoch": 0.84, + "learning_rate": 1.6884086770742138e-05, + "loss": 0.5721, + "step": 305 + }, + { + "epoch": 0.85, + "learning_rate": 1.686241637868734e-05, + "loss": 0.5677, + "step": 306 + }, + { + "epoch": 0.85, + "learning_rate": 1.6840684903718658e-05, + "loss": 0.5662, + "step": 307 + }, + { + "epoch": 0.85, + "learning_rate": 1.681889253926969e-05, + "loss": 0.5613, + "step": 308 + }, + { + "epoch": 0.85, + "learning_rate": 1.6797039479315994e-05, + "loss": 0.5582, + "step": 309 + }, + { + "epoch": 0.86, + "learning_rate": 1.67751259183734e-05, + "loss": 0.5778, + "step": 310 + }, + { + "epoch": 0.86, + "learning_rate": 1.675315205149626e-05, + "loss": 0.5823, + "step": 311 + }, + { + "epoch": 0.86, + "learning_rate": 1.67311180742757e-05, + "loss": 0.5737, + "step": 312 + }, + { + "epoch": 0.86, + "learning_rate": 1.6709024182837917e-05, + "loss": 0.5577, + "step": 313 + }, + { + "epoch": 0.87, + "learning_rate": 1.6686870573842388e-05, + "loss": 0.5767, + "step": 314 + }, + { + "epoch": 0.87, + "learning_rate": 1.6664657444480145e-05, + "loss": 0.5516, + "step": 315 + }, + { + "epoch": 0.87, + "learning_rate": 1.6642384992472026e-05, + "loss": 0.5617, + "step": 316 + }, + { + "epoch": 0.88, + "learning_rate": 1.6620053416066892e-05, + "loss": 0.5553, + "step": 317 + }, + { + "epoch": 0.88, + "learning_rate": 1.6597662914039885e-05, + "loss": 0.542, + "step": 318 + }, + { + "epoch": 0.88, + "learning_rate": 1.657521368569064e-05, + "loss": 0.5736, + "step": 319 + }, + { + "epoch": 0.88, + "learning_rate": 1.6552705930841523e-05, + "loss": 0.5953, + "step": 320 + }, + { + "epoch": 0.89, + "learning_rate": 1.653013984983585e-05, + "loss": 0.5712, + "step": 321 + }, + { + "epoch": 0.89, + "learning_rate": 1.6507515643536113e-05, + "loss": 0.5722, + "step": 322 + }, + { + "epoch": 0.89, + "learning_rate": 1.6484833513322155e-05, + "loss": 0.5616, + "step": 323 + }, + { + "epoch": 0.9, + "learning_rate": 1.6462093661089432e-05, + "loss": 0.5646, + "step": 324 + }, + { + "epoch": 0.9, + "learning_rate": 1.643929628924717e-05, + "loss": 0.572, + "step": 325 + }, + { + "epoch": 0.9, + "learning_rate": 1.6416441600716593e-05, + "loss": 0.5912, + "step": 326 + }, + { + "epoch": 0.9, + "learning_rate": 1.6393529798929103e-05, + "loss": 0.5722, + "step": 327 + }, + { + "epoch": 0.91, + "learning_rate": 1.637056108782446e-05, + "loss": 0.5787, + "step": 328 + }, + { + "epoch": 0.91, + "learning_rate": 1.6347535671848998e-05, + "loss": 0.5789, + "step": 329 + }, + { + "epoch": 0.91, + "learning_rate": 1.6324453755953772e-05, + "loss": 0.5521, + "step": 330 + }, + { + "epoch": 0.91, + "learning_rate": 1.6301315545592753e-05, + "loss": 0.5546, + "step": 331 + }, + { + "epoch": 0.92, + "learning_rate": 1.627812124672099e-05, + "loss": 0.5657, + "step": 332 + }, + { + "epoch": 0.92, + "learning_rate": 1.6254871065792776e-05, + "loss": 0.5581, + "step": 333 + }, + { + "epoch": 0.92, + "learning_rate": 1.623156520975983e-05, + "loss": 0.5759, + "step": 334 + }, + { + "epoch": 0.93, + "learning_rate": 1.620820388606942e-05, + "loss": 0.5368, + "step": 335 + }, + { + "epoch": 0.93, + "learning_rate": 1.618478730266255e-05, + "loss": 0.5714, + "step": 336 + }, + { + "epoch": 0.93, + "learning_rate": 1.6161315667972095e-05, + "loss": 0.5804, + "step": 337 + }, + { + "epoch": 0.93, + "learning_rate": 1.6137789190920938e-05, + "loss": 0.5604, + "step": 338 + }, + { + "epoch": 0.94, + "learning_rate": 1.6114208080920125e-05, + "loss": 0.5542, + "step": 339 + }, + { + "epoch": 0.94, + "learning_rate": 1.6090572547866983e-05, + "loss": 0.5492, + "step": 340 + }, + { + "epoch": 0.94, + "learning_rate": 1.606688280214328e-05, + "loss": 0.5766, + "step": 341 + }, + { + "epoch": 0.94, + "learning_rate": 1.6043139054613326e-05, + "loss": 0.5604, + "step": 342 + }, + { + "epoch": 0.95, + "learning_rate": 1.60193415166221e-05, + "loss": 0.5355, + "step": 343 + }, + { + "epoch": 0.95, + "learning_rate": 1.599549039999338e-05, + "loss": 0.5473, + "step": 344 + }, + { + "epoch": 0.95, + "learning_rate": 1.5971585917027864e-05, + "loss": 0.5665, + "step": 345 + }, + { + "epoch": 0.96, + "learning_rate": 1.594762828050124e-05, + "loss": 0.5532, + "step": 346 + }, + { + "epoch": 0.96, + "learning_rate": 1.5923617703662346e-05, + "loss": 0.5699, + "step": 347 + }, + { + "epoch": 0.96, + "learning_rate": 1.5899554400231233e-05, + "loss": 0.574, + "step": 348 + }, + { + "epoch": 0.96, + "learning_rate": 1.587543858439727e-05, + "loss": 0.5763, + "step": 349 + }, + { + "epoch": 0.97, + "learning_rate": 1.585127047081727e-05, + "loss": 0.5694, + "step": 350 + }, + { + "epoch": 0.97, + "learning_rate": 1.5827050274613512e-05, + "loss": 0.5707, + "step": 351 + }, + { + "epoch": 0.97, + "learning_rate": 1.580277821137191e-05, + "loss": 0.5679, + "step": 352 + }, + { + "epoch": 0.98, + "learning_rate": 1.577845449714001e-05, + "loss": 0.5722, + "step": 353 + }, + { + "epoch": 0.98, + "learning_rate": 1.5754079348425137e-05, + "loss": 0.5476, + "step": 354 + }, + { + "epoch": 0.98, + "learning_rate": 1.5729652982192428e-05, + "loss": 0.5583, + "step": 355 + }, + { + "epoch": 0.98, + "learning_rate": 1.5705175615862906e-05, + "loss": 0.5941, + "step": 356 + }, + { + "epoch": 0.99, + "learning_rate": 1.568064746731156e-05, + "loss": 0.5828, + "step": 357 + }, + { + "epoch": 0.99, + "learning_rate": 1.5656068754865388e-05, + "loss": 0.5647, + "step": 358 + }, + { + "epoch": 0.99, + "learning_rate": 1.5631439697301464e-05, + "loss": 0.5693, + "step": 359 + }, + { + "epoch": 0.99, + "learning_rate": 1.560676051384499e-05, + "loss": 0.5682, + "step": 360 + }, + { + "epoch": 1.0, + "learning_rate": 1.558203142416734e-05, + "loss": 0.5573, + "step": 361 + }, + { + "epoch": 1.0, + "learning_rate": 1.5557252648384103e-05, + "loss": 0.5404, + "step": 362 + }, + { + "epoch": 1.0, + "learning_rate": 1.553242440705314e-05, + "loss": 0.3841, + "step": 363 + }, + { + "epoch": 1.01, + "learning_rate": 1.5507546921172595e-05, + "loss": 0.3967, + "step": 364 + }, + { + "epoch": 1.01, + "learning_rate": 1.548262041217895e-05, + "loss": 0.3613, + "step": 365 + }, + { + "epoch": 1.01, + "learning_rate": 1.5457645101945046e-05, + "loss": 0.3973, + "step": 366 + }, + { + "epoch": 1.01, + "learning_rate": 1.5432621212778105e-05, + "loss": 0.3661, + "step": 367 + }, + { + "epoch": 1.02, + "learning_rate": 1.5407548967417755e-05, + "loss": 0.3624, + "step": 368 + }, + { + "epoch": 1.02, + "learning_rate": 1.538242858903404e-05, + "loss": 0.3701, + "step": 369 + }, + { + "epoch": 1.02, + "learning_rate": 1.5357260301225448e-05, + "loss": 0.382, + "step": 370 + }, + { + "epoch": 1.02, + "learning_rate": 1.5332044328016916e-05, + "loss": 0.3836, + "step": 371 + }, + { + "epoch": 1.03, + "learning_rate": 1.530678089385782e-05, + "loss": 0.3734, + "step": 372 + }, + { + "epoch": 1.03, + "learning_rate": 1.5281470223619995e-05, + "loss": 0.3927, + "step": 373 + }, + { + "epoch": 1.03, + "learning_rate": 1.525611254259574e-05, + "loss": 0.3981, + "step": 374 + }, + { + "epoch": 1.04, + "learning_rate": 1.5230708076495777e-05, + "loss": 0.3578, + "step": 375 + }, + { + "epoch": 1.04, + "learning_rate": 1.5205257051447291e-05, + "loss": 0.3893, + "step": 376 + }, + { + "epoch": 1.04, + "learning_rate": 1.5179759693991869e-05, + "loss": 0.3726, + "step": 377 + }, + { + "epoch": 1.04, + "learning_rate": 1.5154216231083522e-05, + "loss": 0.367, + "step": 378 + }, + { + "epoch": 1.05, + "learning_rate": 1.5128626890086647e-05, + "loss": 0.3768, + "step": 379 + }, + { + "epoch": 1.05, + "learning_rate": 1.5102991898774e-05, + "loss": 0.3667, + "step": 380 + }, + { + "epoch": 1.05, + "learning_rate": 1.507731148532468e-05, + "loss": 0.3372, + "step": 381 + }, + { + "epoch": 1.06, + "learning_rate": 1.505158587832208e-05, + "loss": 0.3377, + "step": 382 + }, + { + "epoch": 1.06, + "learning_rate": 1.5025815306751888e-05, + "loss": 0.3908, + "step": 383 + }, + { + "epoch": 1.06, + "learning_rate": 1.5000000000000002e-05, + "loss": 0.3642, + "step": 384 + }, + { + "epoch": 1.06, + "learning_rate": 1.497414018785052e-05, + "loss": 0.3626, + "step": 385 + }, + { + "epoch": 1.07, + "learning_rate": 1.4948236100483688e-05, + "loss": 0.373, + "step": 386 + }, + { + "epoch": 1.07, + "learning_rate": 1.492228796847385e-05, + "loss": 0.3765, + "step": 387 + }, + { + "epoch": 1.07, + "learning_rate": 1.4896296022787386e-05, + "loss": 0.3767, + "step": 388 + }, + { + "epoch": 1.07, + "learning_rate": 1.4870260494780679e-05, + "loss": 0.3589, + "step": 389 + }, + { + "epoch": 1.08, + "learning_rate": 1.4844181616198028e-05, + "loss": 0.3722, + "step": 390 + }, + { + "epoch": 1.08, + "learning_rate": 1.4818059619169606e-05, + "loss": 0.3806, + "step": 391 + }, + { + "epoch": 1.08, + "learning_rate": 1.479189473620939e-05, + "loss": 0.3662, + "step": 392 + }, + { + "epoch": 1.09, + "learning_rate": 1.4765687200213079e-05, + "loss": 0.3588, + "step": 393 + }, + { + "epoch": 1.09, + "learning_rate": 1.4739437244456039e-05, + "loss": 0.3673, + "step": 394 + }, + { + "epoch": 1.09, + "learning_rate": 1.4713145102591209e-05, + "loss": 0.3733, + "step": 395 + }, + { + "epoch": 1.09, + "learning_rate": 1.4686811008647037e-05, + "loss": 0.3506, + "step": 396 + }, + { + "epoch": 1.1, + "learning_rate": 1.4660435197025391e-05, + "loss": 0.3537, + "step": 397 + }, + { + "epoch": 1.1, + "learning_rate": 1.463401790249946e-05, + "loss": 0.3642, + "step": 398 + }, + { + "epoch": 1.1, + "learning_rate": 1.4607559360211688e-05, + "loss": 0.37, + "step": 399 + }, + { + "epoch": 1.1, + "learning_rate": 1.4581059805671662e-05, + "loss": 0.3789, + "step": 400 + }, + { + "epoch": 1.11, + "learning_rate": 1.4554519474754025e-05, + "loss": 0.3633, + "step": 401 + }, + { + "epoch": 1.11, + "learning_rate": 1.4527938603696376e-05, + "loss": 0.353, + "step": 402 + }, + { + "epoch": 1.11, + "learning_rate": 1.4501317429097155e-05, + "loss": 0.3657, + "step": 403 + }, + { + "epoch": 1.12, + "learning_rate": 1.4474656187913558e-05, + "loss": 0.3749, + "step": 404 + }, + { + "epoch": 1.12, + "learning_rate": 1.4447955117459414e-05, + "loss": 0.3729, + "step": 405 + }, + { + "epoch": 1.12, + "learning_rate": 1.4421214455403071e-05, + "loss": 0.368, + "step": 406 + }, + { + "epoch": 1.12, + "learning_rate": 1.4394434439765295e-05, + "loss": 0.3695, + "step": 407 + }, + { + "epoch": 1.13, + "learning_rate": 1.436761530891713e-05, + "loss": 0.3527, + "step": 408 + }, + { + "epoch": 1.13, + "learning_rate": 1.4340757301577787e-05, + "loss": 0.3662, + "step": 409 + }, + { + "epoch": 1.13, + "learning_rate": 1.4313860656812537e-05, + "loss": 0.3699, + "step": 410 + }, + { + "epoch": 1.14, + "learning_rate": 1.4286925614030542e-05, + "loss": 0.3728, + "step": 411 + }, + { + "epoch": 1.14, + "learning_rate": 1.425995241298277e-05, + "loss": 0.3927, + "step": 412 + }, + { + "epoch": 1.14, + "learning_rate": 1.423294129375982e-05, + "loss": 0.3617, + "step": 413 + }, + { + "epoch": 1.14, + "learning_rate": 1.4205892496789816e-05, + "loss": 0.3785, + "step": 414 + }, + { + "epoch": 1.15, + "learning_rate": 1.4178806262836252e-05, + "loss": 0.378, + "step": 415 + }, + { + "epoch": 1.15, + "learning_rate": 1.4151682832995846e-05, + "loss": 0.3728, + "step": 416 + }, + { + "epoch": 1.15, + "learning_rate": 1.4124522448696407e-05, + "loss": 0.3805, + "step": 417 + }, + { + "epoch": 1.15, + "learning_rate": 1.4097325351694674e-05, + "loss": 0.3701, + "step": 418 + }, + { + "epoch": 1.16, + "learning_rate": 1.407009178407417e-05, + "loss": 0.3797, + "step": 419 + }, + { + "epoch": 1.16, + "learning_rate": 1.404282198824305e-05, + "loss": 0.3732, + "step": 420 + }, + { + "epoch": 1.16, + "learning_rate": 1.4015516206931932e-05, + "loss": 0.3713, + "step": 421 + }, + { + "epoch": 1.17, + "learning_rate": 1.3988174683191744e-05, + "loss": 0.3615, + "step": 422 + }, + { + "epoch": 1.17, + "learning_rate": 1.396079766039157e-05, + "loss": 0.3651, + "step": 423 + }, + { + "epoch": 1.17, + "learning_rate": 1.393338538221646e-05, + "loss": 0.3725, + "step": 424 + }, + { + "epoch": 1.17, + "learning_rate": 1.3905938092665283e-05, + "loss": 0.3889, + "step": 425 + }, + { + "epoch": 1.18, + "learning_rate": 1.387845603604855e-05, + "loss": 0.3567, + "step": 426 + }, + { + "epoch": 1.18, + "learning_rate": 1.385093945698623e-05, + "loss": 0.3966, + "step": 427 + }, + { + "epoch": 1.18, + "learning_rate": 1.382338860040558e-05, + "loss": 0.3757, + "step": 428 + }, + { + "epoch": 1.19, + "learning_rate": 1.3795803711538966e-05, + "loss": 0.3588, + "step": 429 + }, + { + "epoch": 1.19, + "learning_rate": 1.3768185035921677e-05, + "loss": 0.3555, + "step": 430 + }, + { + "epoch": 1.19, + "learning_rate": 1.374053281938974e-05, + "loss": 0.3723, + "step": 431 + }, + { + "epoch": 1.19, + "learning_rate": 1.3712847308077737e-05, + "loss": 0.3679, + "step": 432 + }, + { + "epoch": 1.2, + "learning_rate": 1.3685128748416603e-05, + "loss": 0.3496, + "step": 433 + }, + { + "epoch": 1.2, + "learning_rate": 1.3657377387131443e-05, + "loss": 0.3468, + "step": 434 + }, + { + "epoch": 1.2, + "learning_rate": 1.3629593471239328e-05, + "loss": 0.3759, + "step": 435 + }, + { + "epoch": 1.2, + "learning_rate": 1.3601777248047105e-05, + "loss": 0.3776, + "step": 436 + }, + { + "epoch": 1.21, + "learning_rate": 1.3573928965149188e-05, + "loss": 0.3797, + "step": 437 + }, + { + "epoch": 1.21, + "learning_rate": 1.3546048870425356e-05, + "loss": 0.3842, + "step": 438 + }, + { + "epoch": 1.21, + "learning_rate": 1.3518137212038554e-05, + "loss": 0.3429, + "step": 439 + }, + { + "epoch": 1.22, + "learning_rate": 1.3490194238432665e-05, + "loss": 0.3625, + "step": 440 + }, + { + "epoch": 1.22, + "learning_rate": 1.346222019833033e-05, + "loss": 0.3915, + "step": 441 + }, + { + "epoch": 1.22, + "learning_rate": 1.3434215340730692e-05, + "loss": 0.3763, + "step": 442 + }, + { + "epoch": 1.22, + "learning_rate": 1.340617991490722e-05, + "loss": 0.3835, + "step": 443 + }, + { + "epoch": 1.23, + "learning_rate": 1.3378114170405473e-05, + "loss": 0.3642, + "step": 444 + }, + { + "epoch": 1.23, + "learning_rate": 1.335001835704087e-05, + "loss": 0.3768, + "step": 445 + }, + { + "epoch": 1.23, + "learning_rate": 1.3321892724896483e-05, + "loss": 0.3579, + "step": 446 + }, + { + "epoch": 1.23, + "learning_rate": 1.3293737524320798e-05, + "loss": 0.3911, + "step": 447 + }, + { + "epoch": 1.24, + "learning_rate": 1.3265553005925494e-05, + "loss": 0.3634, + "step": 448 + }, + { + "epoch": 1.24, + "learning_rate": 1.3237339420583213e-05, + "loss": 0.3706, + "step": 449 + }, + { + "epoch": 1.24, + "learning_rate": 1.3209097019425317e-05, + "loss": 0.3438, + "step": 450 + }, + { + "epoch": 1.25, + "learning_rate": 1.3180826053839668e-05, + "loss": 0.3613, + "step": 451 + }, + { + "epoch": 1.25, + "learning_rate": 1.315252677546838e-05, + "loss": 0.3611, + "step": 452 + }, + { + "epoch": 1.25, + "learning_rate": 1.3124199436205575e-05, + "loss": 0.3731, + "step": 453 + }, + { + "epoch": 1.25, + "learning_rate": 1.309584428819516e-05, + "loss": 0.3602, + "step": 454 + }, + { + "epoch": 1.26, + "learning_rate": 1.3067461583828553e-05, + "loss": 0.3541, + "step": 455 + }, + { + "epoch": 1.26, + "learning_rate": 1.303905157574247e-05, + "loss": 0.3681, + "step": 456 + }, + { + "epoch": 1.26, + "learning_rate": 1.3010614516816652e-05, + "loss": 0.3884, + "step": 457 + }, + { + "epoch": 1.27, + "learning_rate": 1.2982150660171613e-05, + "loss": 0.3739, + "step": 458 + }, + { + "epoch": 1.27, + "learning_rate": 1.2953660259166413e-05, + "loss": 0.3745, + "step": 459 + }, + { + "epoch": 1.27, + "learning_rate": 1.2925143567396374e-05, + "loss": 0.3525, + "step": 460 + }, + { + "epoch": 1.27, + "learning_rate": 1.2896600838690838e-05, + "loss": 0.3991, + "step": 461 + }, + { + "epoch": 1.28, + "learning_rate": 1.2868032327110904e-05, + "loss": 0.3769, + "step": 462 + }, + { + "epoch": 1.28, + "learning_rate": 1.2839438286947163e-05, + "loss": 0.3871, + "step": 463 + }, + { + "epoch": 1.28, + "learning_rate": 1.2810818972717438e-05, + "loss": 0.3711, + "step": 464 + }, + { + "epoch": 1.28, + "learning_rate": 1.2782174639164528e-05, + "loss": 0.366, + "step": 465 + }, + { + "epoch": 1.29, + "learning_rate": 1.2753505541253917e-05, + "loss": 0.3688, + "step": 466 + }, + { + "epoch": 1.29, + "learning_rate": 1.272481193417153e-05, + "loss": 0.3839, + "step": 467 + }, + { + "epoch": 1.29, + "learning_rate": 1.269609407332144e-05, + "loss": 0.3831, + "step": 468 + }, + { + "epoch": 1.3, + "learning_rate": 1.2667352214323614e-05, + "loss": 0.3902, + "step": 469 + }, + { + "epoch": 1.3, + "learning_rate": 1.2638586613011625e-05, + "loss": 0.3719, + "step": 470 + }, + { + "epoch": 1.3, + "learning_rate": 1.2609797525430374e-05, + "loss": 0.3711, + "step": 471 + }, + { + "epoch": 1.3, + "learning_rate": 1.258098520783382e-05, + "loss": 0.3709, + "step": 472 + }, + { + "epoch": 1.31, + "learning_rate": 1.2552149916682695e-05, + "loss": 0.3957, + "step": 473 + }, + { + "epoch": 1.31, + "learning_rate": 1.2523291908642219e-05, + "loss": 0.3679, + "step": 474 + }, + { + "epoch": 1.31, + "learning_rate": 1.2494411440579814e-05, + "loss": 0.3723, + "step": 475 + }, + { + "epoch": 1.31, + "learning_rate": 1.2465508769562824e-05, + "loss": 0.3823, + "step": 476 + }, + { + "epoch": 1.32, + "learning_rate": 1.243658415285622e-05, + "loss": 0.3715, + "step": 477 + }, + { + "epoch": 1.32, + "learning_rate": 1.240763784792032e-05, + "loss": 0.3638, + "step": 478 + }, + { + "epoch": 1.32, + "learning_rate": 1.2378670112408482e-05, + "loss": 0.3618, + "step": 479 + }, + { + "epoch": 1.33, + "learning_rate": 1.2349681204164823e-05, + "loss": 0.3665, + "step": 480 + }, + { + "epoch": 1.33, + "learning_rate": 1.2320671381221923e-05, + "loss": 0.3723, + "step": 481 + }, + { + "epoch": 1.33, + "learning_rate": 1.229164090179852e-05, + "loss": 0.3785, + "step": 482 + }, + { + "epoch": 1.33, + "learning_rate": 1.2262590024297226e-05, + "loss": 0.3561, + "step": 483 + }, + { + "epoch": 1.34, + "learning_rate": 1.2233519007302201e-05, + "loss": 0.3552, + "step": 484 + }, + { + "epoch": 1.34, + "learning_rate": 1.2204428109576888e-05, + "loss": 0.3798, + "step": 485 + }, + { + "epoch": 1.34, + "learning_rate": 1.2175317590061676e-05, + "loss": 0.3712, + "step": 486 + }, + { + "epoch": 1.35, + "learning_rate": 1.2146187707871617e-05, + "loss": 0.3617, + "step": 487 + }, + { + "epoch": 1.35, + "learning_rate": 1.211703872229411e-05, + "loss": 0.3623, + "step": 488 + }, + { + "epoch": 1.35, + "learning_rate": 1.2087870892786588e-05, + "loss": 0.3896, + "step": 489 + }, + { + "epoch": 1.35, + "learning_rate": 1.2058684478974226e-05, + "loss": 0.3755, + "step": 490 + }, + { + "epoch": 1.36, + "learning_rate": 1.2029479740647613e-05, + "loss": 0.378, + "step": 491 + }, + { + "epoch": 1.36, + "learning_rate": 1.2000256937760446e-05, + "loss": 0.3861, + "step": 492 + }, + { + "epoch": 1.36, + "learning_rate": 1.1971016330427217e-05, + "loss": 0.3755, + "step": 493 + }, + { + "epoch": 1.36, + "learning_rate": 1.1941758178920899e-05, + "loss": 0.3651, + "step": 494 + }, + { + "epoch": 1.37, + "learning_rate": 1.1912482743670624e-05, + "loss": 0.3527, + "step": 495 + }, + { + "epoch": 1.37, + "learning_rate": 1.188319028525937e-05, + "loss": 0.3736, + "step": 496 + }, + { + "epoch": 1.37, + "learning_rate": 1.1853881064421634e-05, + "loss": 0.3706, + "step": 497 + }, + { + "epoch": 1.38, + "learning_rate": 1.1824555342041129e-05, + "loss": 0.3642, + "step": 498 + }, + { + "epoch": 1.38, + "learning_rate": 1.1795213379148436e-05, + "loss": 0.3746, + "step": 499 + }, + { + "epoch": 1.38, + "learning_rate": 1.17658554369187e-05, + "loss": 0.3695, + "step": 500 + }, + { + "epoch": 1.38, + "learning_rate": 1.1736481776669307e-05, + "loss": 0.3776, + "step": 501 + }, + { + "epoch": 1.39, + "learning_rate": 1.1707092659857531e-05, + "loss": 0.3835, + "step": 502 + }, + { + "epoch": 1.39, + "learning_rate": 1.1677688348078244e-05, + "loss": 0.3601, + "step": 503 + }, + { + "epoch": 1.39, + "learning_rate": 1.1648269103061567e-05, + "loss": 0.3816, + "step": 504 + }, + { + "epoch": 1.4, + "learning_rate": 1.1618835186670532e-05, + "loss": 0.3655, + "step": 505 + }, + { + "epoch": 1.4, + "learning_rate": 1.1589386860898773e-05, + "loss": 0.3838, + "step": 506 + }, + { + "epoch": 1.4, + "learning_rate": 1.155992438786818e-05, + "loss": 0.3729, + "step": 507 + }, + { + "epoch": 1.4, + "learning_rate": 1.1530448029826566e-05, + "loss": 0.3459, + "step": 508 + }, + { + "epoch": 1.41, + "learning_rate": 1.1500958049145342e-05, + "loss": 0.3848, + "step": 509 + }, + { + "epoch": 1.41, + "learning_rate": 1.1471454708317163e-05, + "loss": 0.3574, + "step": 510 + }, + { + "epoch": 1.41, + "learning_rate": 1.1441938269953619e-05, + "loss": 0.3762, + "step": 511 + }, + { + "epoch": 1.41, + "learning_rate": 1.1412408996782871e-05, + "loss": 0.36, + "step": 512 + }, + { + "epoch": 1.42, + "learning_rate": 1.1382867151647333e-05, + "loss": 0.3817, + "step": 513 + }, + { + "epoch": 1.42, + "learning_rate": 1.1353312997501313e-05, + "loss": 0.3557, + "step": 514 + }, + { + "epoch": 1.42, + "learning_rate": 1.1323746797408687e-05, + "loss": 0.3541, + "step": 515 + }, + { + "epoch": 1.43, + "learning_rate": 1.1294168814540554e-05, + "loss": 0.3618, + "step": 516 + }, + { + "epoch": 1.43, + "learning_rate": 1.1264579312172896e-05, + "loss": 0.3815, + "step": 517 + }, + { + "epoch": 1.43, + "learning_rate": 1.123497855368422e-05, + "loss": 0.3815, + "step": 518 + }, + { + "epoch": 1.43, + "learning_rate": 1.1205366802553231e-05, + "loss": 0.3814, + "step": 519 + }, + { + "epoch": 1.44, + "learning_rate": 1.1175744322356488e-05, + "loss": 0.3881, + "step": 520 + }, + { + "epoch": 1.44, + "learning_rate": 1.1146111376766033e-05, + "loss": 0.3601, + "step": 521 + }, + { + "epoch": 1.44, + "learning_rate": 1.1116468229547079e-05, + "loss": 0.3655, + "step": 522 + }, + { + "epoch": 1.44, + "learning_rate": 1.1086815144555633e-05, + "loss": 0.3659, + "step": 523 + }, + { + "epoch": 1.45, + "learning_rate": 1.105715238573616e-05, + "loss": 0.3724, + "step": 524 + }, + { + "epoch": 1.45, + "learning_rate": 1.1027480217119245e-05, + "loss": 0.3842, + "step": 525 + }, + { + "epoch": 1.45, + "learning_rate": 1.0997798902819208e-05, + "loss": 0.3529, + "step": 526 + }, + { + "epoch": 1.46, + "learning_rate": 1.0968108707031792e-05, + "loss": 0.3669, + "step": 527 + }, + { + "epoch": 1.46, + "learning_rate": 1.0938409894031793e-05, + "loss": 0.3791, + "step": 528 + }, + { + "epoch": 1.46, + "learning_rate": 1.0908702728170706e-05, + "loss": 0.3616, + "step": 529 + }, + { + "epoch": 1.46, + "learning_rate": 1.0878987473874381e-05, + "loss": 0.3622, + "step": 530 + }, + { + "epoch": 1.47, + "learning_rate": 1.084926439564065e-05, + "loss": 0.359, + "step": 531 + }, + { + "epoch": 1.47, + "learning_rate": 1.0819533758037002e-05, + "loss": 0.3835, + "step": 532 + }, + { + "epoch": 1.47, + "learning_rate": 1.0789795825698206e-05, + "loss": 0.3724, + "step": 533 + }, + { + "epoch": 1.48, + "learning_rate": 1.0760050863323961e-05, + "loss": 0.3876, + "step": 534 + }, + { + "epoch": 1.48, + "learning_rate": 1.0730299135676545e-05, + "loss": 0.3643, + "step": 535 + }, + { + "epoch": 1.48, + "learning_rate": 1.0700540907578447e-05, + "loss": 0.3728, + "step": 536 + }, + { + "epoch": 1.48, + "learning_rate": 1.0670776443910024e-05, + "loss": 0.3879, + "step": 537 + }, + { + "epoch": 1.49, + "learning_rate": 1.0641006009607137e-05, + "loss": 0.3653, + "step": 538 + }, + { + "epoch": 1.49, + "learning_rate": 1.0611229869658785e-05, + "loss": 0.3573, + "step": 539 + }, + { + "epoch": 1.49, + "learning_rate": 1.0581448289104759e-05, + "loss": 0.3778, + "step": 540 + }, + { + "epoch": 1.49, + "learning_rate": 1.0551661533033274e-05, + "loss": 0.3645, + "step": 541 + }, + { + "epoch": 1.5, + "learning_rate": 1.052186986657862e-05, + "loss": 0.3689, + "step": 542 + }, + { + "epoch": 1.5, + "learning_rate": 1.0492073554918782e-05, + "loss": 0.3755, + "step": 543 + }, + { + "epoch": 1.5, + "learning_rate": 1.0462272863273105e-05, + "loss": 0.3854, + "step": 544 + }, + { + "epoch": 1.51, + "learning_rate": 1.0432468056899909e-05, + "loss": 0.3588, + "step": 545 + }, + { + "epoch": 1.51, + "learning_rate": 1.0402659401094154e-05, + "loss": 0.3766, + "step": 546 + }, + { + "epoch": 1.51, + "learning_rate": 1.0372847161185047e-05, + "loss": 0.366, + "step": 547 + }, + { + "epoch": 1.51, + "learning_rate": 1.0343031602533713e-05, + "loss": 0.3857, + "step": 548 + }, + { + "epoch": 1.52, + "learning_rate": 1.0313212990530804e-05, + "loss": 0.3709, + "step": 549 + }, + { + "epoch": 1.52, + "learning_rate": 1.028339159059416e-05, + "loss": 0.3844, + "step": 550 + }, + { + "epoch": 1.52, + "learning_rate": 1.0253567668166436e-05, + "loss": 0.3667, + "step": 551 + }, + { + "epoch": 1.52, + "learning_rate": 1.0223741488712732e-05, + "loss": 0.3599, + "step": 552 + }, + { + "epoch": 1.53, + "learning_rate": 1.0193913317718245e-05, + "loss": 0.4021, + "step": 553 + }, + { + "epoch": 1.53, + "learning_rate": 1.0164083420685898e-05, + "loss": 0.3895, + "step": 554 + }, + { + "epoch": 1.53, + "learning_rate": 1.0134252063133976e-05, + "loss": 0.3554, + "step": 555 + }, + { + "epoch": 1.54, + "learning_rate": 1.0104419510593764e-05, + "loss": 0.3687, + "step": 556 + }, + { + "epoch": 1.54, + "learning_rate": 1.0074586028607184e-05, + "loss": 0.3595, + "step": 557 + }, + { + "epoch": 1.54, + "learning_rate": 1.0044751882724436e-05, + "loss": 0.3596, + "step": 558 + }, + { + "epoch": 1.54, + "learning_rate": 1.0014917338501618e-05, + "loss": 0.376, + "step": 559 + }, + { + "epoch": 1.55, + "learning_rate": 9.985082661498384e-06, + "loss": 0.3869, + "step": 560 + }, + { + "epoch": 1.55, + "learning_rate": 9.955248117275566e-06, + "loss": 0.3608, + "step": 561 + }, + { + "epoch": 1.55, + "learning_rate": 9.925413971392816e-06, + "loss": 0.3611, + "step": 562 + }, + { + "epoch": 1.56, + "learning_rate": 9.89558048940624e-06, + "loss": 0.3865, + "step": 563 + }, + { + "epoch": 1.56, + "learning_rate": 9.865747936866027e-06, + "loss": 0.345, + "step": 564 + }, + { + "epoch": 1.56, + "learning_rate": 9.835916579314105e-06, + "loss": 0.3651, + "step": 565 + }, + { + "epoch": 1.56, + "learning_rate": 9.806086682281759e-06, + "loss": 0.3669, + "step": 566 + }, + { + "epoch": 1.57, + "learning_rate": 9.776258511287271e-06, + "loss": 0.3631, + "step": 567 + }, + { + "epoch": 1.57, + "learning_rate": 9.746432331833568e-06, + "loss": 0.3675, + "step": 568 + }, + { + "epoch": 1.57, + "learning_rate": 9.716608409405843e-06, + "loss": 0.3678, + "step": 569 + }, + { + "epoch": 1.57, + "learning_rate": 9.6867870094692e-06, + "loss": 0.3642, + "step": 570 + }, + { + "epoch": 1.58, + "learning_rate": 9.65696839746629e-06, + "loss": 0.3542, + "step": 571 + }, + { + "epoch": 1.58, + "learning_rate": 9.627152838814954e-06, + "loss": 0.3592, + "step": 572 + }, + { + "epoch": 1.58, + "learning_rate": 9.597340598905851e-06, + "loss": 0.3719, + "step": 573 + }, + { + "epoch": 1.59, + "learning_rate": 9.567531943100093e-06, + "loss": 0.3701, + "step": 574 + }, + { + "epoch": 1.59, + "learning_rate": 9.537727136726899e-06, + "loss": 0.3874, + "step": 575 + }, + { + "epoch": 1.59, + "learning_rate": 9.50792644508122e-06, + "loss": 0.3636, + "step": 576 + }, + { + "epoch": 1.59, + "learning_rate": 9.478130133421381e-06, + "loss": 0.3749, + "step": 577 + }, + { + "epoch": 1.6, + "learning_rate": 9.448338466966727e-06, + "loss": 0.351, + "step": 578 + }, + { + "epoch": 1.6, + "learning_rate": 9.418551710895243e-06, + "loss": 0.3623, + "step": 579 + }, + { + "epoch": 1.6, + "learning_rate": 9.388770130341217e-06, + "loss": 0.3531, + "step": 580 + }, + { + "epoch": 1.6, + "learning_rate": 9.358993990392864e-06, + "loss": 0.3644, + "step": 581 + }, + { + "epoch": 1.61, + "learning_rate": 9.329223556089976e-06, + "loss": 0.3581, + "step": 582 + }, + { + "epoch": 1.61, + "learning_rate": 9.299459092421558e-06, + "loss": 0.3524, + "step": 583 + }, + { + "epoch": 1.61, + "learning_rate": 9.269700864323462e-06, + "loss": 0.3537, + "step": 584 + }, + { + "epoch": 1.62, + "learning_rate": 9.239949136676042e-06, + "loss": 0.3397, + "step": 585 + }, + { + "epoch": 1.62, + "learning_rate": 9.210204174301797e-06, + "loss": 0.3755, + "step": 586 + }, + { + "epoch": 1.62, + "learning_rate": 9.180466241963e-06, + "loss": 0.3735, + "step": 587 + }, + { + "epoch": 1.62, + "learning_rate": 9.15073560435935e-06, + "loss": 0.3342, + "step": 588 + }, + { + "epoch": 1.63, + "learning_rate": 9.121012526125625e-06, + "loss": 0.3677, + "step": 589 + }, + { + "epoch": 1.63, + "learning_rate": 9.091297271829296e-06, + "loss": 0.3452, + "step": 590 + }, + { + "epoch": 1.63, + "learning_rate": 9.061590105968208e-06, + "loss": 0.3471, + "step": 591 + }, + { + "epoch": 1.64, + "learning_rate": 9.03189129296821e-06, + "loss": 0.3572, + "step": 592 + }, + { + "epoch": 1.64, + "learning_rate": 9.002201097180796e-06, + "loss": 0.3559, + "step": 593 + }, + { + "epoch": 1.64, + "learning_rate": 8.97251978288076e-06, + "loss": 0.3595, + "step": 594 + }, + { + "epoch": 1.64, + "learning_rate": 8.942847614263842e-06, + "loss": 0.3808, + "step": 595 + }, + { + "epoch": 1.65, + "learning_rate": 8.91318485544437e-06, + "loss": 0.3558, + "step": 596 + }, + { + "epoch": 1.65, + "learning_rate": 8.883531770452924e-06, + "loss": 0.3632, + "step": 597 + }, + { + "epoch": 1.65, + "learning_rate": 8.853888623233967e-06, + "loss": 0.3592, + "step": 598 + }, + { + "epoch": 1.65, + "learning_rate": 8.824255677643518e-06, + "loss": 0.3785, + "step": 599 + }, + { + "epoch": 1.66, + "learning_rate": 8.79463319744677e-06, + "loss": 0.3601, + "step": 600 + }, + { + "epoch": 1.66, + "learning_rate": 8.765021446315784e-06, + "loss": 0.3609, + "step": 601 + }, + { + "epoch": 1.66, + "learning_rate": 8.735420687827107e-06, + "loss": 0.336, + "step": 602 + }, + { + "epoch": 1.67, + "learning_rate": 8.705831185459446e-06, + "loss": 0.3749, + "step": 603 + }, + { + "epoch": 1.67, + "learning_rate": 8.676253202591318e-06, + "loss": 0.3816, + "step": 604 + }, + { + "epoch": 1.67, + "learning_rate": 8.646687002498692e-06, + "loss": 0.3731, + "step": 605 + }, + { + "epoch": 1.67, + "learning_rate": 8.617132848352672e-06, + "loss": 0.3894, + "step": 606 + }, + { + "epoch": 1.68, + "learning_rate": 8.58759100321713e-06, + "loss": 0.3695, + "step": 607 + }, + { + "epoch": 1.68, + "learning_rate": 8.558061730046385e-06, + "loss": 0.38, + "step": 608 + }, + { + "epoch": 1.68, + "learning_rate": 8.528545291682839e-06, + "loss": 0.3665, + "step": 609 + }, + { + "epoch": 1.69, + "learning_rate": 8.499041950854665e-06, + "loss": 0.3779, + "step": 610 + }, + { + "epoch": 1.69, + "learning_rate": 8.469551970173437e-06, + "loss": 0.3664, + "step": 611 + }, + { + "epoch": 1.69, + "learning_rate": 8.440075612131823e-06, + "loss": 0.3528, + "step": 612 + }, + { + "epoch": 1.69, + "learning_rate": 8.410613139101229e-06, + "loss": 0.3897, + "step": 613 + }, + { + "epoch": 1.7, + "learning_rate": 8.38116481332947e-06, + "loss": 0.3561, + "step": 614 + }, + { + "epoch": 1.7, + "learning_rate": 8.351730896938438e-06, + "loss": 0.3549, + "step": 615 + }, + { + "epoch": 1.7, + "learning_rate": 8.322311651921759e-06, + "loss": 0.3662, + "step": 616 + }, + { + "epoch": 1.7, + "learning_rate": 8.292907340142472e-06, + "loss": 0.3593, + "step": 617 + }, + { + "epoch": 1.71, + "learning_rate": 8.263518223330698e-06, + "loss": 0.3719, + "step": 618 + }, + { + "epoch": 1.71, + "learning_rate": 8.2341445630813e-06, + "loss": 0.3702, + "step": 619 + }, + { + "epoch": 1.71, + "learning_rate": 8.204786620851569e-06, + "loss": 0.3527, + "step": 620 + }, + { + "epoch": 1.72, + "learning_rate": 8.175444657958875e-06, + "loss": 0.36, + "step": 621 + }, + { + "epoch": 1.72, + "learning_rate": 8.146118935578367e-06, + "loss": 0.3684, + "step": 622 + }, + { + "epoch": 1.72, + "learning_rate": 8.116809714740634e-06, + "loss": 0.3731, + "step": 623 + }, + { + "epoch": 1.72, + "learning_rate": 8.087517256329376e-06, + "loss": 0.3632, + "step": 624 + }, + { + "epoch": 1.73, + "learning_rate": 8.058241821079106e-06, + "loss": 0.3903, + "step": 625 + }, + { + "epoch": 1.73, + "learning_rate": 8.028983669572786e-06, + "loss": 0.3502, + "step": 626 + }, + { + "epoch": 1.73, + "learning_rate": 7.999743062239557e-06, + "loss": 0.3556, + "step": 627 + }, + { + "epoch": 1.73, + "learning_rate": 7.97052025935239e-06, + "loss": 0.3632, + "step": 628 + }, + { + "epoch": 1.74, + "learning_rate": 7.941315521025776e-06, + "loss": 0.3486, + "step": 629 + }, + { + "epoch": 1.74, + "learning_rate": 7.912129107213417e-06, + "loss": 0.3796, + "step": 630 + }, + { + "epoch": 1.74, + "learning_rate": 7.882961277705897e-06, + "loss": 0.3785, + "step": 631 + }, + { + "epoch": 1.75, + "learning_rate": 7.853812292128386e-06, + "loss": 0.3523, + "step": 632 + }, + { + "epoch": 1.75, + "learning_rate": 7.824682409938328e-06, + "loss": 0.3475, + "step": 633 + }, + { + "epoch": 1.75, + "learning_rate": 7.795571890423116e-06, + "loss": 0.3608, + "step": 634 + }, + { + "epoch": 1.75, + "learning_rate": 7.766480992697802e-06, + "loss": 0.3741, + "step": 635 + }, + { + "epoch": 1.76, + "learning_rate": 7.73740997570278e-06, + "loss": 0.3508, + "step": 636 + }, + { + "epoch": 1.76, + "learning_rate": 7.708359098201483e-06, + "loss": 0.358, + "step": 637 + }, + { + "epoch": 1.76, + "learning_rate": 7.67932861877808e-06, + "loss": 0.3719, + "step": 638 + }, + { + "epoch": 1.77, + "learning_rate": 7.650318795835179e-06, + "loss": 0.4074, + "step": 639 + }, + { + "epoch": 1.77, + "learning_rate": 7.621329887591519e-06, + "loss": 0.3753, + "step": 640 + }, + { + "epoch": 1.77, + "learning_rate": 7.592362152079684e-06, + "loss": 0.3655, + "step": 641 + }, + { + "epoch": 1.77, + "learning_rate": 7.563415847143782e-06, + "loss": 0.36, + "step": 642 + }, + { + "epoch": 1.78, + "learning_rate": 7.5344912304371785e-06, + "loss": 0.377, + "step": 643 + }, + { + "epoch": 1.78, + "learning_rate": 7.505588559420188e-06, + "loss": 0.3507, + "step": 644 + }, + { + "epoch": 1.78, + "learning_rate": 7.476708091357783e-06, + "loss": 0.3477, + "step": 645 + }, + { + "epoch": 1.78, + "learning_rate": 7.447850083317308e-06, + "loss": 0.3449, + "step": 646 + }, + { + "epoch": 1.79, + "learning_rate": 7.419014792166182e-06, + "loss": 0.3621, + "step": 647 + }, + { + "epoch": 1.79, + "learning_rate": 7.39020247456963e-06, + "loss": 0.3528, + "step": 648 + }, + { + "epoch": 1.79, + "learning_rate": 7.361413386988379e-06, + "loss": 0.3636, + "step": 649 + }, + { + "epoch": 1.8, + "learning_rate": 7.332647785676388e-06, + "loss": 0.382, + "step": 650 + }, + { + "epoch": 1.8, + "learning_rate": 7.303905926678565e-06, + "loss": 0.3727, + "step": 651 + }, + { + "epoch": 1.8, + "learning_rate": 7.275188065828476e-06, + "loss": 0.3747, + "step": 652 + }, + { + "epoch": 1.8, + "learning_rate": 7.246494458746085e-06, + "loss": 0.3647, + "step": 653 + }, + { + "epoch": 1.81, + "learning_rate": 7.217825360835475e-06, + "loss": 0.3822, + "step": 654 + }, + { + "epoch": 1.81, + "learning_rate": 7.189181027282561e-06, + "loss": 0.3632, + "step": 655 + }, + { + "epoch": 1.81, + "learning_rate": 7.160561713052843e-06, + "loss": 0.3586, + "step": 656 + }, + { + "epoch": 1.81, + "learning_rate": 7.131967672889101e-06, + "loss": 0.374, + "step": 657 + }, + { + "epoch": 1.82, + "learning_rate": 7.103399161309165e-06, + "loss": 0.3574, + "step": 658 + }, + { + "epoch": 1.82, + "learning_rate": 7.074856432603628e-06, + "loss": 0.3624, + "step": 659 + }, + { + "epoch": 1.82, + "learning_rate": 7.04633974083359e-06, + "loss": 0.3573, + "step": 660 + }, + { + "epoch": 1.83, + "learning_rate": 7.017849339828388e-06, + "loss": 0.3515, + "step": 661 + }, + { + "epoch": 1.83, + "learning_rate": 6.989385483183355e-06, + "loss": 0.3655, + "step": 662 + }, + { + "epoch": 1.83, + "learning_rate": 6.960948424257532e-06, + "loss": 0.3645, + "step": 663 + }, + { + "epoch": 1.83, + "learning_rate": 6.9325384161714485e-06, + "loss": 0.358, + "step": 664 + }, + { + "epoch": 1.84, + "learning_rate": 6.904155711804843e-06, + "loss": 0.3885, + "step": 665 + }, + { + "epoch": 1.84, + "learning_rate": 6.8758005637944245e-06, + "loss": 0.3531, + "step": 666 + }, + { + "epoch": 1.84, + "learning_rate": 6.8474732245316245e-06, + "loss": 0.3602, + "step": 667 + }, + { + "epoch": 1.85, + "learning_rate": 6.819173946160336e-06, + "loss": 0.3647, + "step": 668 + }, + { + "epoch": 1.85, + "learning_rate": 6.7909029805746855e-06, + "loss": 0.3486, + "step": 669 + }, + { + "epoch": 1.85, + "learning_rate": 6.762660579416791e-06, + "loss": 0.3629, + "step": 670 + }, + { + "epoch": 1.85, + "learning_rate": 6.734446994074507e-06, + "loss": 0.3513, + "step": 671 + }, + { + "epoch": 1.86, + "learning_rate": 6.706262475679205e-06, + "loss": 0.3663, + "step": 672 + }, + { + "epoch": 1.86, + "learning_rate": 6.678107275103519e-06, + "loss": 0.3781, + "step": 673 + }, + { + "epoch": 1.86, + "learning_rate": 6.649981642959133e-06, + "loss": 0.3477, + "step": 674 + }, + { + "epoch": 1.86, + "learning_rate": 6.62188582959453e-06, + "loss": 0.3521, + "step": 675 + }, + { + "epoch": 1.87, + "learning_rate": 6.593820085092782e-06, + "loss": 0.374, + "step": 676 + }, + { + "epoch": 1.87, + "learning_rate": 6.565784659269314e-06, + "loss": 0.3693, + "step": 677 + }, + { + "epoch": 1.87, + "learning_rate": 6.537779801669677e-06, + "loss": 0.3716, + "step": 678 + }, + { + "epoch": 1.88, + "learning_rate": 6.509805761567336e-06, + "loss": 0.3757, + "step": 679 + }, + { + "epoch": 1.88, + "learning_rate": 6.481862787961448e-06, + "loss": 0.3731, + "step": 680 + }, + { + "epoch": 1.88, + "learning_rate": 6.453951129574644e-06, + "loss": 0.3586, + "step": 681 + }, + { + "epoch": 1.88, + "learning_rate": 6.4260710348508115e-06, + "loss": 0.3442, + "step": 682 + }, + { + "epoch": 1.89, + "learning_rate": 6.3982227519528986e-06, + "loss": 0.3531, + "step": 683 + }, + { + "epoch": 1.89, + "learning_rate": 6.370406528760675e-06, + "loss": 0.347, + "step": 684 + }, + { + "epoch": 1.89, + "learning_rate": 6.34262261286856e-06, + "loss": 0.3709, + "step": 685 + }, + { + "epoch": 1.9, + "learning_rate": 6.3148712515833985e-06, + "loss": 0.3621, + "step": 686 + }, + { + "epoch": 1.9, + "learning_rate": 6.287152691922264e-06, + "loss": 0.3637, + "step": 687 + }, + { + "epoch": 1.9, + "learning_rate": 6.259467180610262e-06, + "loss": 0.3662, + "step": 688 + }, + { + "epoch": 1.9, + "learning_rate": 6.231814964078327e-06, + "loss": 0.3664, + "step": 689 + }, + { + "epoch": 1.91, + "learning_rate": 6.204196288461037e-06, + "loss": 0.357, + "step": 690 + }, + { + "epoch": 1.91, + "learning_rate": 6.176611399594422e-06, + "loss": 0.3548, + "step": 691 + }, + { + "epoch": 1.91, + "learning_rate": 6.149060543013772e-06, + "loss": 0.3525, + "step": 692 + }, + { + "epoch": 1.91, + "learning_rate": 6.121543963951453e-06, + "loss": 0.3715, + "step": 693 + }, + { + "epoch": 1.92, + "learning_rate": 6.094061907334718e-06, + "loss": 0.374, + "step": 694 + }, + { + "epoch": 1.92, + "learning_rate": 6.066614617783542e-06, + "loss": 0.3788, + "step": 695 + }, + { + "epoch": 1.92, + "learning_rate": 6.039202339608432e-06, + "loss": 0.3699, + "step": 696 + }, + { + "epoch": 1.93, + "learning_rate": 6.0118253168082555e-06, + "loss": 0.3657, + "step": 697 + }, + { + "epoch": 1.93, + "learning_rate": 5.984483793068072e-06, + "loss": 0.3583, + "step": 698 + }, + { + "epoch": 1.93, + "learning_rate": 5.957178011756952e-06, + "loss": 0.3758, + "step": 699 + }, + { + "epoch": 1.93, + "learning_rate": 5.92990821592583e-06, + "loss": 0.3538, + "step": 700 + }, + { + "epoch": 1.94, + "learning_rate": 5.902674648305329e-06, + "loss": 0.3587, + "step": 701 + }, + { + "epoch": 1.94, + "learning_rate": 5.875477551303596e-06, + "loss": 0.3666, + "step": 702 + }, + { + "epoch": 1.94, + "learning_rate": 5.848317167004159e-06, + "loss": 0.3548, + "step": 703 + }, + { + "epoch": 1.94, + "learning_rate": 5.8211937371637525e-06, + "loss": 0.375, + "step": 704 + }, + { + "epoch": 1.95, + "learning_rate": 5.794107503210187e-06, + "loss": 0.3574, + "step": 705 + }, + { + "epoch": 1.95, + "learning_rate": 5.767058706240183e-06, + "loss": 0.3744, + "step": 706 + }, + { + "epoch": 1.95, + "learning_rate": 5.740047587017232e-06, + "loss": 0.3681, + "step": 707 + }, + { + "epoch": 1.96, + "learning_rate": 5.713074385969457e-06, + "loss": 0.3551, + "step": 708 + }, + { + "epoch": 1.96, + "learning_rate": 5.686139343187468e-06, + "loss": 0.3486, + "step": 709 + }, + { + "epoch": 1.96, + "learning_rate": 5.659242698422213e-06, + "loss": 0.3761, + "step": 710 + }, + { + "epoch": 1.96, + "learning_rate": 5.632384691082874e-06, + "loss": 0.3496, + "step": 711 + }, + { + "epoch": 1.97, + "learning_rate": 5.605565560234707e-06, + "loss": 0.3514, + "step": 712 + }, + { + "epoch": 1.97, + "learning_rate": 5.578785544596928e-06, + "loss": 0.3481, + "step": 713 + }, + { + "epoch": 1.97, + "learning_rate": 5.55204488254059e-06, + "loss": 0.3694, + "step": 714 + }, + { + "epoch": 1.98, + "learning_rate": 5.525343812086445e-06, + "loss": 0.3715, + "step": 715 + }, + { + "epoch": 1.98, + "learning_rate": 5.498682570902849e-06, + "loss": 0.3674, + "step": 716 + }, + { + "epoch": 1.98, + "learning_rate": 5.47206139630363e-06, + "loss": 0.3527, + "step": 717 + }, + { + "epoch": 1.98, + "learning_rate": 5.445480525245976e-06, + "loss": 0.3754, + "step": 718 + }, + { + "epoch": 1.99, + "learning_rate": 5.418940194328344e-06, + "loss": 0.366, + "step": 719 + }, + { + "epoch": 1.99, + "learning_rate": 5.3924406397883174e-06, + "loss": 0.3668, + "step": 720 + }, + { + "epoch": 1.99, + "learning_rate": 5.365982097500545e-06, + "loss": 0.354, + "step": 721 + }, + { + "epoch": 1.99, + "learning_rate": 5.339564802974615e-06, + "loss": 0.3738, + "step": 722 + }, + { + "epoch": 2.0, + "learning_rate": 5.313188991352964e-06, + "loss": 0.3561, + "step": 723 + }, + { + "epoch": 2.0, + "learning_rate": 5.286854897408793e-06, + "loss": 0.3586, + "step": 724 + }, + { + "epoch": 2.0, + "learning_rate": 5.2605627555439635e-06, + "loss": 0.2377, + "step": 725 + }, + { + "epoch": 2.01, + "learning_rate": 5.234312799786921e-06, + "loss": 0.2292, + "step": 726 + }, + { + "epoch": 2.01, + "learning_rate": 5.208105263790611e-06, + "loss": 0.2117, + "step": 727 + }, + { + "epoch": 2.01, + "learning_rate": 5.181940380830393e-06, + "loss": 0.2141, + "step": 728 + }, + { + "epoch": 2.01, + "learning_rate": 5.155818383801976e-06, + "loss": 0.2237, + "step": 729 + }, + { + "epoch": 2.02, + "learning_rate": 5.129739505219325e-06, + "loss": 0.2236, + "step": 730 + }, + { + "epoch": 2.02, + "learning_rate": 5.103703977212615e-06, + "loss": 0.2053, + "step": 731 + }, + { + "epoch": 2.02, + "learning_rate": 5.077712031526153e-06, + "loss": 0.2234, + "step": 732 + }, + { + "epoch": 2.02, + "learning_rate": 5.051763899516313e-06, + "loss": 0.2308, + "step": 733 + }, + { + "epoch": 2.03, + "learning_rate": 5.025859812149481e-06, + "loss": 0.2188, + "step": 734 + }, + { + "epoch": 2.03, + "learning_rate": 5.000000000000003e-06, + "loss": 0.2197, + "step": 735 + }, + { + "epoch": 2.03, + "learning_rate": 4.9741846932481154e-06, + "loss": 0.2091, + "step": 736 + }, + { + "epoch": 2.04, + "learning_rate": 4.94841412167792e-06, + "loss": 0.224, + "step": 737 + }, + { + "epoch": 2.04, + "learning_rate": 4.922688514675325e-06, + "loss": 0.2023, + "step": 738 + }, + { + "epoch": 2.04, + "learning_rate": 4.8970081012260014e-06, + "loss": 0.2062, + "step": 739 + }, + { + "epoch": 2.04, + "learning_rate": 4.8713731099133576e-06, + "loss": 0.2181, + "step": 740 + }, + { + "epoch": 2.05, + "learning_rate": 4.845783768916482e-06, + "loss": 0.223, + "step": 741 + }, + { + "epoch": 2.05, + "learning_rate": 4.820240306008136e-06, + "loss": 0.2088, + "step": 742 + }, + { + "epoch": 2.05, + "learning_rate": 4.794742948552716e-06, + "loss": 0.2118, + "step": 743 + }, + { + "epoch": 2.06, + "learning_rate": 4.769291923504226e-06, + "loss": 0.1877, + "step": 744 + }, + { + "epoch": 2.06, + "learning_rate": 4.743887457404268e-06, + "loss": 0.2117, + "step": 745 + }, + { + "epoch": 2.06, + "learning_rate": 4.718529776380009e-06, + "loss": 0.2046, + "step": 746 + }, + { + "epoch": 2.06, + "learning_rate": 4.693219106142186e-06, + "loss": 0.2045, + "step": 747 + }, + { + "epoch": 2.07, + "learning_rate": 4.66795567198309e-06, + "loss": 0.2031, + "step": 748 + }, + { + "epoch": 2.07, + "learning_rate": 4.642739698774555e-06, + "loss": 0.2075, + "step": 749 + }, + { + "epoch": 2.07, + "learning_rate": 4.617571410965964e-06, + "loss": 0.2085, + "step": 750 + }, + { + "epoch": 2.07, + "learning_rate": 4.59245103258225e-06, + "loss": 0.2185, + "step": 751 + }, + { + "epoch": 2.08, + "learning_rate": 4.567378787221896e-06, + "loss": 0.2095, + "step": 752 + }, + { + "epoch": 2.08, + "learning_rate": 4.542354898054953e-06, + "loss": 0.2002, + "step": 753 + }, + { + "epoch": 2.08, + "learning_rate": 4.517379587821049e-06, + "loss": 0.2133, + "step": 754 + }, + { + "epoch": 2.09, + "learning_rate": 4.492453078827409e-06, + "loss": 0.2211, + "step": 755 + }, + { + "epoch": 2.09, + "learning_rate": 4.467575592946865e-06, + "loss": 0.2032, + "step": 756 + }, + { + "epoch": 2.09, + "learning_rate": 4.442747351615899e-06, + "loss": 0.2272, + "step": 757 + }, + { + "epoch": 2.09, + "learning_rate": 4.417968575832664e-06, + "loss": 0.2108, + "step": 758 + }, + { + "epoch": 2.1, + "learning_rate": 4.393239486155011e-06, + "loss": 0.2128, + "step": 759 + }, + { + "epoch": 2.1, + "learning_rate": 4.3685603026985356e-06, + "loss": 0.2137, + "step": 760 + }, + { + "epoch": 2.1, + "learning_rate": 4.343931245134616e-06, + "loss": 0.2043, + "step": 761 + }, + { + "epoch": 2.1, + "learning_rate": 4.319352532688444e-06, + "loss": 0.2334, + "step": 762 + }, + { + "epoch": 2.11, + "learning_rate": 4.294824384137096e-06, + "loss": 0.2026, + "step": 763 + }, + { + "epoch": 2.11, + "learning_rate": 4.270347017807575e-06, + "loss": 0.2238, + "step": 764 + }, + { + "epoch": 2.11, + "learning_rate": 4.245920651574864e-06, + "loss": 0.2203, + "step": 765 + }, + { + "epoch": 2.12, + "learning_rate": 4.221545502859994e-06, + "loss": 0.2158, + "step": 766 + }, + { + "epoch": 2.12, + "learning_rate": 4.197221788628096e-06, + "loss": 0.2122, + "step": 767 + }, + { + "epoch": 2.12, + "learning_rate": 4.172949725386488e-06, + "loss": 0.2159, + "step": 768 + }, + { + "epoch": 2.12, + "learning_rate": 4.148729529182736e-06, + "loss": 0.2009, + "step": 769 + }, + { + "epoch": 2.13, + "learning_rate": 4.124561415602729e-06, + "loss": 0.2157, + "step": 770 + }, + { + "epoch": 2.13, + "learning_rate": 4.100445599768774e-06, + "loss": 0.2038, + "step": 771 + }, + { + "epoch": 2.13, + "learning_rate": 4.0763822963376585e-06, + "loss": 0.2241, + "step": 772 + }, + { + "epoch": 2.14, + "learning_rate": 4.0523717194987634e-06, + "loss": 0.204, + "step": 773 + }, + { + "epoch": 2.14, + "learning_rate": 4.028414082972141e-06, + "loss": 0.2032, + "step": 774 + }, + { + "epoch": 2.14, + "learning_rate": 4.004509600006618e-06, + "loss": 0.2168, + "step": 775 + }, + { + "epoch": 2.14, + "learning_rate": 3.980658483377903e-06, + "loss": 0.2236, + "step": 776 + }, + { + "epoch": 2.15, + "learning_rate": 3.956860945386677e-06, + "loss": 0.2009, + "step": 777 + }, + { + "epoch": 2.15, + "learning_rate": 3.9331171978567206e-06, + "loss": 0.1957, + "step": 778 + }, + { + "epoch": 2.15, + "learning_rate": 3.909427452133017e-06, + "loss": 0.2151, + "step": 779 + }, + { + "epoch": 2.15, + "learning_rate": 3.885791919079878e-06, + "loss": 0.209, + "step": 780 + }, + { + "epoch": 2.16, + "learning_rate": 3.862210809079061e-06, + "loss": 0.2104, + "step": 781 + }, + { + "epoch": 2.16, + "learning_rate": 3.838684332027908e-06, + "loss": 0.2049, + "step": 782 + }, + { + "epoch": 2.16, + "learning_rate": 3.815212697337451e-06, + "loss": 0.2045, + "step": 783 + }, + { + "epoch": 2.17, + "learning_rate": 3.7917961139305835e-06, + "loss": 0.2135, + "step": 784 + }, + { + "epoch": 2.17, + "learning_rate": 3.7684347902401753e-06, + "loss": 0.2193, + "step": 785 + }, + { + "epoch": 2.17, + "learning_rate": 3.745128934207225e-06, + "loss": 0.2092, + "step": 786 + }, + { + "epoch": 2.17, + "learning_rate": 3.7218787532790167e-06, + "loss": 0.2122, + "step": 787 + }, + { + "epoch": 2.18, + "learning_rate": 3.6986844544072496e-06, + "loss": 0.2306, + "step": 788 + }, + { + "epoch": 2.18, + "learning_rate": 3.6755462440462288e-06, + "loss": 0.2156, + "step": 789 + }, + { + "epoch": 2.18, + "learning_rate": 3.6524643281510018e-06, + "loss": 0.2118, + "step": 790 + }, + { + "epoch": 2.19, + "learning_rate": 3.6294389121755404e-06, + "loss": 0.2066, + "step": 791 + }, + { + "epoch": 2.19, + "learning_rate": 3.606470201070904e-06, + "loss": 0.2072, + "step": 792 + }, + { + "epoch": 2.19, + "learning_rate": 3.58355839928341e-06, + "loss": 0.2063, + "step": 793 + }, + { + "epoch": 2.19, + "learning_rate": 3.560703710752833e-06, + "loss": 0.218, + "step": 794 + }, + { + "epoch": 2.2, + "learning_rate": 3.5379063389105727e-06, + "loss": 0.2176, + "step": 795 + }, + { + "epoch": 2.2, + "learning_rate": 3.515166486677848e-06, + "loss": 0.213, + "step": 796 + }, + { + "epoch": 2.2, + "learning_rate": 3.4924843564638946e-06, + "loss": 0.2186, + "step": 797 + }, + { + "epoch": 2.2, + "learning_rate": 3.4698601501641517e-06, + "loss": 0.2201, + "step": 798 + }, + { + "epoch": 2.21, + "learning_rate": 3.447294069158481e-06, + "loss": 0.2075, + "step": 799 + }, + { + "epoch": 2.21, + "learning_rate": 3.424786314309365e-06, + "loss": 0.2041, + "step": 800 + }, + { + "epoch": 2.21, + "learning_rate": 3.4023370859601192e-06, + "loss": 0.2091, + "step": 801 + }, + { + "epoch": 2.22, + "learning_rate": 3.3799465839331103e-06, + "loss": 0.2237, + "step": 802 + }, + { + "epoch": 2.22, + "learning_rate": 3.3576150075279757e-06, + "loss": 0.2098, + "step": 803 + }, + { + "epoch": 2.22, + "learning_rate": 3.335342555519855e-06, + "loss": 0.1901, + "step": 804 + }, + { + "epoch": 2.22, + "learning_rate": 3.313129426157613e-06, + "loss": 0.1949, + "step": 805 + }, + { + "epoch": 2.23, + "learning_rate": 3.290975817162082e-06, + "loss": 0.2193, + "step": 806 + }, + { + "epoch": 2.23, + "learning_rate": 3.2688819257242963e-06, + "loss": 0.2073, + "step": 807 + }, + { + "epoch": 2.23, + "learning_rate": 3.246847948503744e-06, + "loss": 0.195, + "step": 808 + }, + { + "epoch": 2.23, + "learning_rate": 3.2248740816266012e-06, + "loss": 0.2088, + "step": 809 + }, + { + "epoch": 2.24, + "learning_rate": 3.2029605206840088e-06, + "loss": 0.2114, + "step": 810 + }, + { + "epoch": 2.24, + "learning_rate": 3.181107460730314e-06, + "loss": 0.2148, + "step": 811 + }, + { + "epoch": 2.24, + "learning_rate": 3.1593150962813425e-06, + "loss": 0.217, + "step": 812 + }, + { + "epoch": 2.25, + "learning_rate": 3.1375836213126653e-06, + "loss": 0.2092, + "step": 813 + }, + { + "epoch": 2.25, + "learning_rate": 3.115913229257864e-06, + "loss": 0.2159, + "step": 814 + }, + { + "epoch": 2.25, + "learning_rate": 3.0943041130068243e-06, + "loss": 0.216, + "step": 815 + }, + { + "epoch": 2.25, + "learning_rate": 3.0727564649040066e-06, + "loss": 0.2258, + "step": 816 + }, + { + "epoch": 2.26, + "learning_rate": 3.0512704767467417e-06, + "loss": 0.1863, + "step": 817 + }, + { + "epoch": 2.26, + "learning_rate": 3.0298463397835223e-06, + "loss": 0.2179, + "step": 818 + }, + { + "epoch": 2.26, + "learning_rate": 3.008484244712286e-06, + "loss": 0.1884, + "step": 819 + }, + { + "epoch": 2.27, + "learning_rate": 2.987184381678747e-06, + "loss": 0.214, + "step": 820 + }, + { + "epoch": 2.27, + "learning_rate": 2.965946940274678e-06, + "loss": 0.1999, + "step": 821 + }, + { + "epoch": 2.27, + "learning_rate": 2.9447721095362325e-06, + "loss": 0.2018, + "step": 822 + }, + { + "epoch": 2.27, + "learning_rate": 2.9236600779422674e-06, + "loss": 0.2079, + "step": 823 + }, + { + "epoch": 2.28, + "learning_rate": 2.902611033412648e-06, + "loss": 0.2203, + "step": 824 + }, + { + "epoch": 2.28, + "learning_rate": 2.8816251633065963e-06, + "loss": 0.2093, + "step": 825 + }, + { + "epoch": 2.28, + "learning_rate": 2.8607026544210115e-06, + "loss": 0.2058, + "step": 826 + }, + { + "epoch": 2.28, + "learning_rate": 2.8398436929888085e-06, + "loss": 0.2076, + "step": 827 + }, + { + "epoch": 2.29, + "learning_rate": 2.819048464677261e-06, + "loss": 0.208, + "step": 828 + }, + { + "epoch": 2.29, + "learning_rate": 2.798317154586352e-06, + "loss": 0.1956, + "step": 829 + }, + { + "epoch": 2.29, + "learning_rate": 2.7776499472471184e-06, + "loss": 0.2107, + "step": 830 + }, + { + "epoch": 2.3, + "learning_rate": 2.7570470266200177e-06, + "loss": 0.2141, + "step": 831 + }, + { + "epoch": 2.3, + "learning_rate": 2.736508576093285e-06, + "loss": 0.2141, + "step": 832 + }, + { + "epoch": 2.3, + "learning_rate": 2.716034778481301e-06, + "loss": 0.2197, + "step": 833 + }, + { + "epoch": 2.3, + "learning_rate": 2.69562581602297e-06, + "loss": 0.2077, + "step": 834 + }, + { + "epoch": 2.31, + "learning_rate": 2.675281870380082e-06, + "loss": 0.2023, + "step": 835 + }, + { + "epoch": 2.31, + "learning_rate": 2.65500312263572e-06, + "loss": 0.203, + "step": 836 + }, + { + "epoch": 2.31, + "learning_rate": 2.6347897532926293e-06, + "loss": 0.2251, + "step": 837 + }, + { + "epoch": 2.31, + "learning_rate": 2.6146419422716174e-06, + "loss": 0.2172, + "step": 838 + }, + { + "epoch": 2.32, + "learning_rate": 2.594559868909956e-06, + "loss": 0.2092, + "step": 839 + }, + { + "epoch": 2.32, + "learning_rate": 2.5745437119597704e-06, + "loss": 0.2122, + "step": 840 + }, + { + "epoch": 2.32, + "learning_rate": 2.554593649586469e-06, + "loss": 0.205, + "step": 841 + }, + { + "epoch": 2.33, + "learning_rate": 2.5347098593671417e-06, + "loss": 0.1979, + "step": 842 + }, + { + "epoch": 2.33, + "learning_rate": 2.514892518288988e-06, + "loss": 0.2135, + "step": 843 + }, + { + "epoch": 2.33, + "learning_rate": 2.49514180274774e-06, + "loss": 0.2108, + "step": 844 + }, + { + "epoch": 2.33, + "learning_rate": 2.4754578885460813e-06, + "loss": 0.2084, + "step": 845 + }, + { + "epoch": 2.34, + "learning_rate": 2.455840950892099e-06, + "loss": 0.2069, + "step": 846 + }, + { + "epoch": 2.34, + "learning_rate": 2.436291164397715e-06, + "loss": 0.2034, + "step": 847 + }, + { + "epoch": 2.34, + "learning_rate": 2.416808703077135e-06, + "loss": 0.2168, + "step": 848 + }, + { + "epoch": 2.35, + "learning_rate": 2.3973937403452983e-06, + "loss": 0.2091, + "step": 849 + }, + { + "epoch": 2.35, + "learning_rate": 2.3780464490163267e-06, + "loss": 0.2042, + "step": 850 + }, + { + "epoch": 2.35, + "learning_rate": 2.3587670013020026e-06, + "loss": 0.2047, + "step": 851 + }, + { + "epoch": 2.35, + "learning_rate": 2.339555568810221e-06, + "loss": 0.2086, + "step": 852 + }, + { + "epoch": 2.36, + "learning_rate": 2.3204123225434714e-06, + "loss": 0.2015, + "step": 853 + }, + { + "epoch": 2.36, + "learning_rate": 2.3013374328973113e-06, + "loss": 0.2081, + "step": 854 + }, + { + "epoch": 2.36, + "learning_rate": 2.28233106965885e-06, + "loss": 0.2055, + "step": 855 + }, + { + "epoch": 2.36, + "learning_rate": 2.2633934020052383e-06, + "loss": 0.2047, + "step": 856 + }, + { + "epoch": 2.37, + "learning_rate": 2.2445245985021613e-06, + "loss": 0.2157, + "step": 857 + }, + { + "epoch": 2.37, + "learning_rate": 2.2257248271023424e-06, + "loss": 0.2085, + "step": 858 + }, + { + "epoch": 2.37, + "learning_rate": 2.206994255144036e-06, + "loss": 0.2021, + "step": 859 + }, + { + "epoch": 2.38, + "learning_rate": 2.188333049349556e-06, + "loss": 0.2264, + "step": 860 + }, + { + "epoch": 2.38, + "learning_rate": 2.1697413758237785e-06, + "loss": 0.218, + "step": 861 + }, + { + "epoch": 2.38, + "learning_rate": 2.1512194000526676e-06, + "loss": 0.2069, + "step": 862 + }, + { + "epoch": 2.38, + "learning_rate": 2.1327672869018036e-06, + "loss": 0.1998, + "step": 863 + }, + { + "epoch": 2.39, + "learning_rate": 2.114385200614912e-06, + "loss": 0.2074, + "step": 864 + }, + { + "epoch": 2.39, + "learning_rate": 2.0960733048124082e-06, + "loss": 0.2001, + "step": 865 + }, + { + "epoch": 2.39, + "learning_rate": 2.077831762489927e-06, + "loss": 0.2143, + "step": 866 + }, + { + "epoch": 2.4, + "learning_rate": 2.0596607360168897e-06, + "loss": 0.2186, + "step": 867 + }, + { + "epoch": 2.4, + "learning_rate": 2.0415603871350476e-06, + "loss": 0.2068, + "step": 868 + }, + { + "epoch": 2.4, + "learning_rate": 2.023530876957045e-06, + "loss": 0.211, + "step": 869 + }, + { + "epoch": 2.4, + "learning_rate": 2.0055723659649907e-06, + "loss": 0.204, + "step": 870 + }, + { + "epoch": 2.41, + "learning_rate": 1.987685014009011e-06, + "loss": 0.2119, + "step": 871 + }, + { + "epoch": 2.41, + "learning_rate": 1.9698689803058523e-06, + "loss": 0.1991, + "step": 872 + }, + { + "epoch": 2.41, + "learning_rate": 1.952124423437447e-06, + "loss": 0.2133, + "step": 873 + }, + { + "epoch": 2.41, + "learning_rate": 1.934451501349507e-06, + "loss": 0.215, + "step": 874 + }, + { + "epoch": 2.42, + "learning_rate": 1.9168503713501184e-06, + "loss": 0.2058, + "step": 875 + }, + { + "epoch": 2.42, + "learning_rate": 1.8993211901083353e-06, + "loss": 0.203, + "step": 876 + }, + { + "epoch": 2.42, + "learning_rate": 1.8818641136527959e-06, + "loss": 0.2132, + "step": 877 + }, + { + "epoch": 2.43, + "learning_rate": 1.8644792973703252e-06, + "loss": 0.2112, + "step": 878 + }, + { + "epoch": 2.43, + "learning_rate": 1.8471668960045575e-06, + "loss": 0.2036, + "step": 879 + }, + { + "epoch": 2.43, + "learning_rate": 1.8299270636545518e-06, + "loss": 0.2042, + "step": 880 + }, + { + "epoch": 2.43, + "learning_rate": 1.8127599537734297e-06, + "loss": 0.1876, + "step": 881 + }, + { + "epoch": 2.44, + "learning_rate": 1.7956657191669969e-06, + "loss": 0.2145, + "step": 882 + }, + { + "epoch": 2.44, + "learning_rate": 1.7786445119923967e-06, + "loss": 0.203, + "step": 883 + }, + { + "epoch": 2.44, + "learning_rate": 1.7616964837567497e-06, + "loss": 0.2054, + "step": 884 + }, + { + "epoch": 2.44, + "learning_rate": 1.7448217853158e-06, + "loss": 0.2125, + "step": 885 + }, + { + "epoch": 2.45, + "learning_rate": 1.7280205668725814e-06, + "loss": 0.2167, + "step": 886 + }, + { + "epoch": 2.45, + "learning_rate": 1.7112929779760768e-06, + "loss": 0.2062, + "step": 887 + }, + { + "epoch": 2.45, + "learning_rate": 1.6946391675198838e-06, + "loss": 0.2024, + "step": 888 + }, + { + "epoch": 2.46, + "learning_rate": 1.6780592837408926e-06, + "loss": 0.2113, + "step": 889 + }, + { + "epoch": 2.46, + "learning_rate": 1.6615534742179684e-06, + "loss": 0.206, + "step": 890 + }, + { + "epoch": 2.46, + "learning_rate": 1.6451218858706374e-06, + "loss": 0.2166, + "step": 891 + }, + { + "epoch": 2.46, + "learning_rate": 1.6287646649577672e-06, + "loss": 0.2073, + "step": 892 + }, + { + "epoch": 2.47, + "learning_rate": 1.6124819570762862e-06, + "loss": 0.2009, + "step": 893 + }, + { + "epoch": 2.47, + "learning_rate": 1.5962739071598709e-06, + "loss": 0.2003, + "step": 894 + }, + { + "epoch": 2.47, + "learning_rate": 1.5801406594776625e-06, + "loss": 0.2164, + "step": 895 + }, + { + "epoch": 2.48, + "learning_rate": 1.5640823576329844e-06, + "loss": 0.218, + "step": 896 + }, + { + "epoch": 2.48, + "learning_rate": 1.5480991445620541e-06, + "loss": 0.2209, + "step": 897 + }, + { + "epoch": 2.48, + "learning_rate": 1.5321911625327224e-06, + "loss": 0.1961, + "step": 898 + }, + { + "epoch": 2.48, + "learning_rate": 1.5163585531432046e-06, + "loss": 0.2148, + "step": 899 + }, + { + "epoch": 2.49, + "learning_rate": 1.500601457320814e-06, + "loss": 0.2102, + "step": 900 + }, + { + "epoch": 2.49, + "learning_rate": 1.4849200153207176e-06, + "loss": 0.2132, + "step": 901 + }, + { + "epoch": 2.49, + "learning_rate": 1.4693143667246713e-06, + "loss": 0.2135, + "step": 902 + }, + { + "epoch": 2.49, + "learning_rate": 1.453784650439798e-06, + "loss": 0.2001, + "step": 903 + }, + { + "epoch": 2.5, + "learning_rate": 1.4383310046973365e-06, + "loss": 0.2126, + "step": 904 + }, + { + "epoch": 2.5, + "learning_rate": 1.4229535670514162e-06, + "loss": 0.1928, + "step": 905 + }, + { + "epoch": 2.5, + "learning_rate": 1.407652474377832e-06, + "loss": 0.2168, + "step": 906 + }, + { + "epoch": 2.51, + "learning_rate": 1.3924278628728305e-06, + "loss": 0.2055, + "step": 907 + }, + { + "epoch": 2.51, + "learning_rate": 1.3772798680518828e-06, + "loss": 0.2018, + "step": 908 + }, + { + "epoch": 2.51, + "learning_rate": 1.3622086247484989e-06, + "loss": 0.2123, + "step": 909 + }, + { + "epoch": 2.51, + "learning_rate": 1.3472142671130139e-06, + "loss": 0.1973, + "step": 910 + }, + { + "epoch": 2.52, + "learning_rate": 1.3322969286113973e-06, + "loss": 0.2237, + "step": 911 + }, + { + "epoch": 2.52, + "learning_rate": 1.3174567420240647e-06, + "loss": 0.2202, + "step": 912 + }, + { + "epoch": 2.52, + "learning_rate": 1.3026938394446976e-06, + "loss": 0.2175, + "step": 913 + }, + { + "epoch": 2.52, + "learning_rate": 1.2880083522790654e-06, + "loss": 0.2101, + "step": 914 + }, + { + "epoch": 2.53, + "learning_rate": 1.273400411243857e-06, + "loss": 0.2067, + "step": 915 + }, + { + "epoch": 2.53, + "learning_rate": 1.2588701463655172e-06, + "loss": 0.2163, + "step": 916 + }, + { + "epoch": 2.53, + "learning_rate": 1.2444176869790925e-06, + "loss": 0.2074, + "step": 917 + }, + { + "epoch": 2.54, + "learning_rate": 1.2300431617270669e-06, + "loss": 0.2046, + "step": 918 + }, + { + "epoch": 2.54, + "learning_rate": 1.2157466985582367e-06, + "loss": 0.2107, + "step": 919 + }, + { + "epoch": 2.54, + "learning_rate": 1.2015284247265567e-06, + "loss": 0.2218, + "step": 920 + }, + { + "epoch": 2.54, + "learning_rate": 1.1873884667900125e-06, + "loss": 0.205, + "step": 921 + }, + { + "epoch": 2.55, + "learning_rate": 1.1733269506094957e-06, + "loss": 0.21, + "step": 922 + }, + { + "epoch": 2.55, + "learning_rate": 1.1593440013476775e-06, + "loss": 0.2147, + "step": 923 + }, + { + "epoch": 2.55, + "learning_rate": 1.1454397434679022e-06, + "loss": 0.2157, + "step": 924 + }, + { + "epoch": 2.56, + "learning_rate": 1.1316143007330739e-06, + "loss": 0.2109, + "step": 925 + }, + { + "epoch": 2.56, + "learning_rate": 1.1178677962045604e-06, + "loss": 0.2158, + "step": 926 + }, + { + "epoch": 2.56, + "learning_rate": 1.1042003522410882e-06, + "loss": 0.2149, + "step": 927 + }, + { + "epoch": 2.56, + "learning_rate": 1.090612090497668e-06, + "loss": 0.2054, + "step": 928 + }, + { + "epoch": 2.57, + "learning_rate": 1.077103131924493e-06, + "loss": 0.2122, + "step": 929 + }, + { + "epoch": 2.57, + "learning_rate": 1.0636735967658785e-06, + "loss": 0.213, + "step": 930 + }, + { + "epoch": 2.57, + "learning_rate": 1.0503236045591857e-06, + "loss": 0.2051, + "step": 931 + }, + { + "epoch": 2.57, + "learning_rate": 1.037053274133758e-06, + "loss": 0.198, + "step": 932 + }, + { + "epoch": 2.58, + "learning_rate": 1.0238627236098619e-06, + "loss": 0.2066, + "step": 933 + }, + { + "epoch": 2.58, + "learning_rate": 1.0107520703976325e-06, + "loss": 0.212, + "step": 934 + }, + { + "epoch": 2.58, + "learning_rate": 9.977214311960404e-07, + "loss": 0.2104, + "step": 935 + }, + { + "epoch": 2.59, + "learning_rate": 9.8477092199184e-07, + "loss": 0.1995, + "step": 936 + }, + { + "epoch": 2.59, + "learning_rate": 9.719006580585444e-07, + "loss": 0.2121, + "step": 937 + }, + { + "epoch": 2.59, + "learning_rate": 9.591107539553945e-07, + "loss": 0.2092, + "step": 938 + }, + { + "epoch": 2.59, + "learning_rate": 9.464013235263458e-07, + "loss": 0.2011, + "step": 939 + }, + { + "epoch": 2.6, + "learning_rate": 9.337724798990489e-07, + "loss": 0.1923, + "step": 940 + }, + { + "epoch": 2.6, + "learning_rate": 9.212243354838435e-07, + "loss": 0.2009, + "step": 941 + }, + { + "epoch": 2.6, + "learning_rate": 9.08757001972762e-07, + "loss": 0.2085, + "step": 942 + }, + { + "epoch": 2.6, + "learning_rate": 8.963705903385344e-07, + "loss": 0.2063, + "step": 943 + }, + { + "epoch": 2.61, + "learning_rate": 8.8406521083359e-07, + "loss": 0.2023, + "step": 944 + }, + { + "epoch": 2.61, + "learning_rate": 8.71840972989092e-07, + "loss": 0.201, + "step": 945 + }, + { + "epoch": 2.61, + "learning_rate": 8.596979856139553e-07, + "loss": 0.2025, + "step": 946 + }, + { + "epoch": 2.62, + "learning_rate": 8.476363567938751e-07, + "loss": 0.2015, + "step": 947 + }, + { + "epoch": 2.62, + "learning_rate": 8.356561938903707e-07, + "loss": 0.2111, + "step": 948 + }, + { + "epoch": 2.62, + "learning_rate": 8.237576035398198e-07, + "loss": 0.1969, + "step": 949 + }, + { + "epoch": 2.62, + "learning_rate": 8.119406916525252e-07, + "loss": 0.224, + "step": 950 + }, + { + "epoch": 2.63, + "learning_rate": 8.002055634117578e-07, + "loss": 0.211, + "step": 951 + }, + { + "epoch": 2.63, + "learning_rate": 7.885523232728287e-07, + "loss": 0.2029, + "step": 952 + }, + { + "epoch": 2.63, + "learning_rate": 7.769810749621532e-07, + "loss": 0.1962, + "step": 953 + }, + { + "epoch": 2.64, + "learning_rate": 7.654919214763357e-07, + "loss": 0.2137, + "step": 954 + }, + { + "epoch": 2.64, + "learning_rate": 7.540849650812409e-07, + "loss": 0.2189, + "step": 955 + }, + { + "epoch": 2.64, + "learning_rate": 7.427603073110967e-07, + "loss": 0.199, + "step": 956 + }, + { + "epoch": 2.64, + "learning_rate": 7.315180489675822e-07, + "loss": 0.2082, + "step": 957 + }, + { + "epoch": 2.65, + "learning_rate": 7.203582901189332e-07, + "loss": 0.1972, + "step": 958 + }, + { + "epoch": 2.65, + "learning_rate": 7.092811300990521e-07, + "loss": 0.2113, + "step": 959 + }, + { + "epoch": 2.65, + "learning_rate": 6.98286667506618e-07, + "loss": 0.2164, + "step": 960 + }, + { + "epoch": 2.65, + "learning_rate": 6.87375000204219e-07, + "loss": 0.2203, + "step": 961 + }, + { + "epoch": 2.66, + "learning_rate": 6.765462253174715e-07, + "loss": 0.2231, + "step": 962 + }, + { + "epoch": 2.66, + "learning_rate": 6.658004392341633e-07, + "loss": 0.1949, + "step": 963 + }, + { + "epoch": 2.66, + "learning_rate": 6.551377376033896e-07, + "loss": 0.1995, + "step": 964 + }, + { + "epoch": 2.67, + "learning_rate": 6.445582153347074e-07, + "loss": 0.2068, + "step": 965 + }, + { + "epoch": 2.67, + "learning_rate": 6.340619665972847e-07, + "loss": 0.2132, + "step": 966 + }, + { + "epoch": 2.67, + "learning_rate": 6.236490848190657e-07, + "loss": 0.2218, + "step": 967 + }, + { + "epoch": 2.67, + "learning_rate": 6.133196626859406e-07, + "loss": 0.1993, + "step": 968 + }, + { + "epoch": 2.68, + "learning_rate": 6.030737921409169e-07, + "loss": 0.2027, + "step": 969 + }, + { + "epoch": 2.68, + "learning_rate": 5.929115643833005e-07, + "loss": 0.2108, + "step": 970 + }, + { + "epoch": 2.68, + "learning_rate": 5.828330698678908e-07, + "loss": 0.2094, + "step": 971 + }, + { + "epoch": 2.69, + "learning_rate": 5.728383983041696e-07, + "loss": 0.2108, + "step": 972 + }, + { + "epoch": 2.69, + "learning_rate": 5.629276386555016e-07, + "loss": 0.2078, + "step": 973 + }, + { + "epoch": 2.69, + "learning_rate": 5.531008791383485e-07, + "loss": 0.2077, + "step": 974 + }, + { + "epoch": 2.69, + "learning_rate": 5.43358207221476e-07, + "loss": 0.1993, + "step": 975 + }, + { + "epoch": 2.7, + "learning_rate": 5.336997096251816e-07, + "loss": 0.1934, + "step": 976 + }, + { + "epoch": 2.7, + "learning_rate": 5.241254723205225e-07, + "loss": 0.2026, + "step": 977 + }, + { + "epoch": 2.7, + "learning_rate": 5.146355805285452e-07, + "loss": 0.2125, + "step": 978 + }, + { + "epoch": 2.7, + "learning_rate": 5.052301187195296e-07, + "loss": 0.2046, + "step": 979 + }, + { + "epoch": 2.71, + "learning_rate": 4.959091706122431e-07, + "loss": 0.2029, + "step": 980 + }, + { + "epoch": 2.71, + "learning_rate": 4.866728191731829e-07, + "loss": 0.1976, + "step": 981 + }, + { + "epoch": 2.71, + "learning_rate": 4.775211466158469e-07, + "loss": 0.2035, + "step": 982 + }, + { + "epoch": 2.72, + "learning_rate": 4.6845423440000315e-07, + "loss": 0.1887, + "step": 983 + }, + { + "epoch": 2.72, + "learning_rate": 4.594721632309551e-07, + "loss": 0.2134, + "step": 984 + }, + { + "epoch": 2.72, + "learning_rate": 4.505750130588371e-07, + "loss": 0.2085, + "step": 985 + }, + { + "epoch": 2.72, + "learning_rate": 4.4176286307788475e-07, + "loss": 0.2059, + "step": 986 + }, + { + "epoch": 2.73, + "learning_rate": 4.3303579172574884e-07, + "loss": 0.208, + "step": 987 + }, + { + "epoch": 2.73, + "learning_rate": 4.243938766827849e-07, + "loss": 0.2023, + "step": 988 + }, + { + "epoch": 2.73, + "learning_rate": 4.1583719487136575e-07, + "loss": 0.1943, + "step": 989 + }, + { + "epoch": 2.73, + "learning_rate": 4.0736582245519795e-07, + "loss": 0.199, + "step": 990 + }, + { + "epoch": 2.74, + "learning_rate": 3.9897983483863866e-07, + "loss": 0.2023, + "step": 991 + }, + { + "epoch": 2.74, + "learning_rate": 3.9067930666603304e-07, + "loss": 0.2193, + "step": 992 + }, + { + "epoch": 2.74, + "learning_rate": 3.824643118210403e-07, + "loss": 0.2184, + "step": 993 + }, + { + "epoch": 2.75, + "learning_rate": 3.743349234259841e-07, + "loss": 0.1987, + "step": 994 + }, + { + "epoch": 2.75, + "learning_rate": 3.662912138411967e-07, + "loss": 0.2166, + "step": 995 + }, + { + "epoch": 2.75, + "learning_rate": 3.5833325466437697e-07, + "loss": 0.2128, + "step": 996 + }, + { + "epoch": 2.75, + "learning_rate": 3.5046111672995097e-07, + "loss": 0.2143, + "step": 997 + }, + { + "epoch": 2.76, + "learning_rate": 3.426748701084448e-07, + "loss": 0.2111, + "step": 998 + }, + { + "epoch": 2.76, + "learning_rate": 3.349745841058605e-07, + "loss": 0.2187, + "step": 999 + }, + { + "epoch": 2.76, + "learning_rate": 3.2736032726305546e-07, + "loss": 0.2042, + "step": 1000 + }, + { + "epoch": 2.77, + "learning_rate": 3.198321673551341e-07, + "loss": 0.2043, + "step": 1001 + }, + { + "epoch": 2.77, + "learning_rate": 3.1239017139084725e-07, + "loss": 0.196, + "step": 1002 + }, + { + "epoch": 2.77, + "learning_rate": 3.050344056119925e-07, + "loss": 0.2067, + "step": 1003 + }, + { + "epoch": 2.77, + "learning_rate": 2.977649354928258e-07, + "loss": 0.2104, + "step": 1004 + }, + { + "epoch": 2.78, + "learning_rate": 2.905818257394799e-07, + "loss": 0.207, + "step": 1005 + }, + { + "epoch": 2.78, + "learning_rate": 2.834851402893857e-07, + "loss": 0.1951, + "step": 1006 + }, + { + "epoch": 2.78, + "learning_rate": 2.764749423107027e-07, + "loss": 0.1985, + "step": 1007 + }, + { + "epoch": 2.78, + "learning_rate": 2.6955129420176193e-07, + "loss": 0.2044, + "step": 1008 + }, + { + "epoch": 2.79, + "learning_rate": 2.627142575905062e-07, + "loss": 0.2083, + "step": 1009 + }, + { + "epoch": 2.79, + "learning_rate": 2.559638933339414e-07, + "loss": 0.2098, + "step": 1010 + }, + { + "epoch": 2.79, + "learning_rate": 2.493002615175977e-07, + "loss": 0.2041, + "step": 1011 + }, + { + "epoch": 2.8, + "learning_rate": 2.4272342145499006e-07, + "loss": 0.2159, + "step": 1012 + }, + { + "epoch": 2.8, + "learning_rate": 2.3623343168709624e-07, + "loss": 0.1974, + "step": 1013 + }, + { + "epoch": 2.8, + "learning_rate": 2.2983034998182997e-07, + "loss": 0.2098, + "step": 1014 + }, + { + "epoch": 2.8, + "learning_rate": 2.235142333335316e-07, + "loss": 0.193, + "step": 1015 + }, + { + "epoch": 2.81, + "learning_rate": 2.1728513796245855e-07, + "loss": 0.2025, + "step": 1016 + }, + { + "epoch": 2.81, + "learning_rate": 2.11143119314281e-07, + "loss": 0.2063, + "step": 1017 + }, + { + "epoch": 2.81, + "learning_rate": 2.0508823205959815e-07, + "loss": 0.2191, + "step": 1018 + }, + { + "epoch": 2.81, + "learning_rate": 1.991205300934429e-07, + "loss": 0.2038, + "step": 1019 + }, + { + "epoch": 2.82, + "learning_rate": 1.9324006653480332e-07, + "loss": 0.2147, + "step": 1020 + }, + { + "epoch": 2.82, + "learning_rate": 1.874468937261531e-07, + "loss": 0.2003, + "step": 1021 + }, + { + "epoch": 2.82, + "learning_rate": 1.8174106323298634e-07, + "loss": 0.2085, + "step": 1022 + }, + { + "epoch": 2.83, + "learning_rate": 1.761226258433524e-07, + "loss": 0.2071, + "step": 1023 + }, + { + "epoch": 2.83, + "learning_rate": 1.7059163156740943e-07, + "loss": 0.2045, + "step": 1024 + }, + { + "epoch": 2.83, + "learning_rate": 1.6514812963697723e-07, + "loss": 0.1973, + "step": 1025 + }, + { + "epoch": 2.83, + "learning_rate": 1.5979216850509848e-07, + "loss": 0.2033, + "step": 1026 + }, + { + "epoch": 2.84, + "learning_rate": 1.545237958456125e-07, + "loss": 0.2017, + "step": 1027 + }, + { + "epoch": 2.84, + "learning_rate": 1.4934305855271892e-07, + "loss": 0.2188, + "step": 1028 + }, + { + "epoch": 2.84, + "learning_rate": 1.4425000274057577e-07, + "loss": 0.2063, + "step": 1029 + }, + { + "epoch": 2.85, + "learning_rate": 1.3924467374287432e-07, + "loss": 0.2151, + "step": 1030 + }, + { + "epoch": 2.85, + "learning_rate": 1.343271161124493e-07, + "loss": 0.2166, + "step": 1031 + }, + { + "epoch": 2.85, + "learning_rate": 1.2949737362087156e-07, + "loss": 0.2095, + "step": 1032 + }, + { + "epoch": 2.85, + "learning_rate": 1.247554892580616e-07, + "loss": 0.2165, + "step": 1033 + }, + { + "epoch": 2.86, + "learning_rate": 1.201015052319099e-07, + "loss": 0.2222, + "step": 1034 + }, + { + "epoch": 2.86, + "learning_rate": 1.1553546296789952e-07, + "loss": 0.22, + "step": 1035 + }, + { + "epoch": 2.86, + "learning_rate": 1.1105740310873414e-07, + "loss": 0.2047, + "step": 1036 + }, + { + "epoch": 2.86, + "learning_rate": 1.066673655139816e-07, + "loss": 0.2112, + "step": 1037 + }, + { + "epoch": 2.87, + "learning_rate": 1.0236538925971429e-07, + "loss": 0.2146, + "step": 1038 + }, + { + "epoch": 2.87, + "learning_rate": 9.815151263816714e-08, + "loss": 0.214, + "step": 1039 + }, + { + "epoch": 2.87, + "learning_rate": 9.402577315738904e-08, + "loss": 0.2114, + "step": 1040 + }, + { + "epoch": 2.88, + "learning_rate": 8.99882075409153e-08, + "loss": 0.2129, + "step": 1041 + }, + { + "epoch": 2.88, + "learning_rate": 8.603885172744131e-08, + "loss": 0.1971, + "step": 1042 + }, + { + "epoch": 2.88, + "learning_rate": 8.217774087049268e-08, + "loss": 0.2054, + "step": 1043 + }, + { + "epoch": 2.88, + "learning_rate": 7.840490933812783e-08, + "loss": 0.197, + "step": 1044 + }, + { + "epoch": 2.89, + "learning_rate": 7.472039071261927e-08, + "loss": 0.2009, + "step": 1045 + }, + { + "epoch": 2.89, + "learning_rate": 7.112421779015944e-08, + "loss": 0.22, + "step": 1046 + }, + { + "epoch": 2.89, + "learning_rate": 6.761642258056977e-08, + "loss": 0.2093, + "step": 1047 + }, + { + "epoch": 2.9, + "learning_rate": 6.419703630701546e-08, + "loss": 0.2009, + "step": 1048 + }, + { + "epoch": 2.9, + "learning_rate": 6.086608940572447e-08, + "loss": 0.2121, + "step": 1049 + }, + { + "epoch": 2.9, + "learning_rate": 5.7623611525721155e-08, + "loss": 0.2113, + "step": 1050 + }, + { + "epoch": 2.9, + "learning_rate": 5.446963152855644e-08, + "loss": 0.2117, + "step": 1051 + }, + { + "epoch": 2.91, + "learning_rate": 5.140417748806026e-08, + "loss": 0.1995, + "step": 1052 + }, + { + "epoch": 2.91, + "learning_rate": 4.8427276690081735e-08, + "loss": 0.1929, + "step": 1053 + }, + { + "epoch": 2.91, + "learning_rate": 4.553895563225053e-08, + "loss": 0.2024, + "step": 1054 + }, + { + "epoch": 2.91, + "learning_rate": 4.2739240023742526e-08, + "loss": 0.1983, + "step": 1055 + }, + { + "epoch": 2.92, + "learning_rate": 4.002815478505007e-08, + "loss": 0.2105, + "step": 1056 + }, + { + "epoch": 2.92, + "learning_rate": 3.7405724047756554e-08, + "loss": 0.1979, + "step": 1057 + }, + { + "epoch": 2.92, + "learning_rate": 3.487197115432883e-08, + "loss": 0.2052, + "step": 1058 + }, + { + "epoch": 2.93, + "learning_rate": 3.242691865790071e-08, + "loss": 0.2053, + "step": 1059 + }, + { + "epoch": 2.93, + "learning_rate": 3.0070588322079765e-08, + "loss": 0.2026, + "step": 1060 + }, + { + "epoch": 2.93, + "learning_rate": 2.780300112074974e-08, + "loss": 0.2049, + "step": 1061 + }, + { + "epoch": 2.93, + "learning_rate": 2.5624177237884017e-08, + "loss": 0.2184, + "step": 1062 + }, + { + "epoch": 2.94, + "learning_rate": 2.3534136067369094e-08, + "loss": 0.2051, + "step": 1063 + }, + { + "epoch": 2.94, + "learning_rate": 2.1532896212825837e-08, + "loss": 0.2046, + "step": 1064 + }, + { + "epoch": 2.94, + "learning_rate": 1.962047548744961e-08, + "loss": 0.2134, + "step": 1065 + }, + { + "epoch": 2.94, + "learning_rate": 1.7796890913850395e-08, + "loss": 0.1919, + "step": 1066 + }, + { + "epoch": 2.95, + "learning_rate": 1.606215872389738e-08, + "loss": 0.2097, + "step": 1067 + }, + { + "epoch": 2.95, + "learning_rate": 1.4416294358582383e-08, + "loss": 0.2103, + "step": 1068 + }, + { + "epoch": 2.95, + "learning_rate": 1.2859312467872197e-08, + "loss": 0.2087, + "step": 1069 + }, + { + "epoch": 2.96, + "learning_rate": 1.1391226910588693e-08, + "loss": 0.2145, + "step": 1070 + }, + { + "epoch": 2.96, + "learning_rate": 1.0012050754277802e-08, + "loss": 0.209, + "step": 1071 + }, + { + "epoch": 2.96, + "learning_rate": 8.721796275095173e-09, + "loss": 0.2114, + "step": 1072 + }, + { + "epoch": 2.96, + "learning_rate": 7.520474957699586e-09, + "loss": 0.2224, + "step": 1073 + }, + { + "epoch": 2.97, + "learning_rate": 6.40809749514637e-09, + "loss": 0.2072, + "step": 1074 + }, + { + "epoch": 2.97, + "learning_rate": 5.384673788797479e-09, + "loss": 0.2242, + "step": 1075 + }, + { + "epoch": 2.97, + "learning_rate": 4.450212948227117e-09, + "loss": 0.2183, + "step": 1076 + }, + { + "epoch": 2.98, + "learning_rate": 3.6047232911462506e-09, + "loss": 0.2179, + "step": 1077 + }, + { + "epoch": 2.98, + "learning_rate": 2.8482123433248853e-09, + "loss": 0.2012, + "step": 1078 + }, + { + "epoch": 2.98, + "learning_rate": 2.180686838527679e-09, + "loss": 0.1969, + "step": 1079 + }, + { + "epoch": 2.98, + "learning_rate": 1.6021527184528761e-09, + "loss": 0.1997, + "step": 1080 + }, + { + "epoch": 2.99, + "learning_rate": 1.1126151326779077e-09, + "loss": 0.2175, + "step": 1081 + }, + { + "epoch": 2.99, + "learning_rate": 7.120784386160928e-10, + "loss": 0.2035, + "step": 1082 + }, + { + "epoch": 2.99, + "learning_rate": 4.005462014766703e-10, + "loss": 0.2045, + "step": 1083 + }, + { + "epoch": 2.99, + "learning_rate": 1.7802119423149244e-10, + "loss": 0.2136, + "step": 1084 + }, + { + "epoch": 3.0, + "learning_rate": 4.450539759393024e-11, + "loss": 0.2111, + "step": 1085 + }, + { + "epoch": 3.0, + "learning_rate": 0.0, + "loss": 0.2032, + "step": 1086 + }, + { + "epoch": 3.0, + "step": 1086, + "total_flos": 2.877522978659107e+18, + "train_loss": 0.38975011184125535, + "train_runtime": 36926.9258, + "train_samples_per_second": 3.764, + "train_steps_per_second": 0.029 + } + ], + "logging_steps": 1.0, + "max_steps": 1086, + "num_train_epochs": 3, + "save_steps": 2000, + "total_flos": 2.877522978659107e+18, + "trial_name": null, + "trial_params": null +}