diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,44688 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 7443, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 4.4642857142857145e-08, + "loss": 0.8204, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 8.928571428571429e-08, + "loss": 0.7793, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 1.3392857142857142e-07, + "loss": 0.7679, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 1.7857142857142858e-07, + "loss": 0.7806, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 2.2321428571428574e-07, + "loss": 0.7884, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 2.6785714285714284e-07, + "loss": 0.7391, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 3.125e-07, + "loss": 0.798, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 3.5714285714285716e-07, + "loss": 0.7675, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 4.0178571428571434e-07, + "loss": 0.745, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 4.4642857142857147e-07, + "loss": 0.7889, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 4.910714285714286e-07, + "loss": 0.794, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 5.357142857142857e-07, + "loss": 0.7309, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 5.80357142857143e-07, + "loss": 0.7461, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 6.25e-07, + "loss": 0.74, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 6.696428571428571e-07, + "loss": 0.7599, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 7.142857142857143e-07, + "loss": 0.8024, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 7.589285714285714e-07, + "loss": 0.7293, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 8.035714285714287e-07, + "loss": 0.7355, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 8.482142857142859e-07, + "loss": 0.7258, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 8.928571428571429e-07, + "loss": 0.7464, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 9.375000000000001e-07, + "loss": 0.7395, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 9.821428571428572e-07, + "loss": 0.7119, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 1.0267857142857143e-06, + "loss": 0.7256, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 1.0714285714285714e-06, + "loss": 0.7241, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 1.1160714285714287e-06, + "loss": 0.6701, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 1.160714285714286e-06, + "loss": 0.675, + "step": 26 + }, + { + "epoch": 0.0, + "learning_rate": 1.205357142857143e-06, + "loss": 0.7088, + "step": 27 + }, + { + "epoch": 0.0, + "learning_rate": 1.25e-06, + "loss": 0.6507, + "step": 28 + }, + { + "epoch": 0.0, + "learning_rate": 1.2946428571428574e-06, + "loss": 0.6665, + "step": 29 + }, + { + "epoch": 0.0, + "learning_rate": 1.3392857142857143e-06, + "loss": 0.6215, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 1.3839285714285715e-06, + "loss": 0.6604, + "step": 31 + }, + { + "epoch": 0.0, + "learning_rate": 1.4285714285714286e-06, + "loss": 0.6653, + "step": 32 + }, + { + "epoch": 0.0, + "learning_rate": 1.473214285714286e-06, + "loss": 0.6836, + "step": 33 + }, + { + "epoch": 0.0, + "learning_rate": 1.5178571428571428e-06, + "loss": 0.6433, + "step": 34 + }, + { + "epoch": 0.0, + "learning_rate": 1.5625e-06, + "loss": 0.6355, + "step": 35 + }, + { + "epoch": 0.0, + "learning_rate": 1.6071428571428574e-06, + "loss": 0.653, + "step": 36 + }, + { + "epoch": 0.0, + "learning_rate": 1.6517857142857144e-06, + "loss": 0.6319, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 1.6964285714285717e-06, + "loss": 0.6226, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 1.7410714285714286e-06, + "loss": 0.6446, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 1.7857142857142859e-06, + "loss": 0.6524, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 1.830357142857143e-06, + "loss": 0.6848, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 1.8750000000000003e-06, + "loss": 0.6368, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 1.9196428571428573e-06, + "loss": 0.6255, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 1.9642857142857144e-06, + "loss": 0.6428, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 2.0089285714285715e-06, + "loss": 0.6491, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 2.0535714285714286e-06, + "loss": 0.6408, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 2.098214285714286e-06, + "loss": 0.6573, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 2.1428571428571427e-06, + "loss": 0.6572, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 2.1875000000000002e-06, + "loss": 0.6719, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 2.2321428571428573e-06, + "loss": 0.6805, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 2.2767857142857144e-06, + "loss": 0.6371, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 2.321428571428572e-06, + "loss": 0.6244, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 2.3660714285714285e-06, + "loss": 0.6209, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 2.410714285714286e-06, + "loss": 0.6495, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 2.455357142857143e-06, + "loss": 0.6547, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 2.5e-06, + "loss": 0.6159, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 2.5446428571428573e-06, + "loss": 0.6511, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 2.5892857142857148e-06, + "loss": 0.6225, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 2.633928571428572e-06, + "loss": 0.6084, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 2.6785714285714285e-06, + "loss": 0.6242, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 2.7232142857142856e-06, + "loss": 0.6061, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 2.767857142857143e-06, + "loss": 0.675, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 2.8125e-06, + "loss": 0.6191, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 2.8571428571428573e-06, + "loss": 0.6324, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 2.9017857142857148e-06, + "loss": 0.6425, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 2.946428571428572e-06, + "loss": 0.6411, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 2.991071428571429e-06, + "loss": 0.585, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 3.0357142857142856e-06, + "loss": 0.6187, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 3.080357142857143e-06, + "loss": 0.6544, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 3.125e-06, + "loss": 0.5815, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 3.1696428571428572e-06, + "loss": 0.6249, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 3.2142857142857147e-06, + "loss": 0.5971, + "step": 72 + }, + { + "epoch": 0.01, + "learning_rate": 3.258928571428572e-06, + "loss": 0.5942, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 3.303571428571429e-06, + "loss": 0.6196, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 3.3482142857142855e-06, + "loss": 0.6471, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 3.3928571428571435e-06, + "loss": 0.6238, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 3.4375e-06, + "loss": 0.6134, + "step": 77 + }, + { + "epoch": 0.01, + "learning_rate": 3.482142857142857e-06, + "loss": 0.5863, + "step": 78 + }, + { + "epoch": 0.01, + "learning_rate": 3.5267857142857147e-06, + "loss": 0.6514, + "step": 79 + }, + { + "epoch": 0.01, + "learning_rate": 3.5714285714285718e-06, + "loss": 0.6058, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 3.616071428571429e-06, + "loss": 0.6138, + "step": 81 + }, + { + "epoch": 0.01, + "learning_rate": 3.660714285714286e-06, + "loss": 0.57, + "step": 82 + }, + { + "epoch": 0.01, + "learning_rate": 3.7053571428571434e-06, + "loss": 0.6429, + "step": 83 + }, + { + "epoch": 0.01, + "learning_rate": 3.7500000000000005e-06, + "loss": 0.6476, + "step": 84 + }, + { + "epoch": 0.01, + "learning_rate": 3.794642857142857e-06, + "loss": 0.6098, + "step": 85 + }, + { + "epoch": 0.01, + "learning_rate": 3.839285714285715e-06, + "loss": 0.5443, + "step": 86 + }, + { + "epoch": 0.01, + "learning_rate": 3.883928571428572e-06, + "loss": 0.5932, + "step": 87 + }, + { + "epoch": 0.01, + "learning_rate": 3.928571428571429e-06, + "loss": 0.6126, + "step": 88 + }, + { + "epoch": 0.01, + "learning_rate": 3.9732142857142855e-06, + "loss": 0.6173, + "step": 89 + }, + { + "epoch": 0.01, + "learning_rate": 4.017857142857143e-06, + "loss": 0.5957, + "step": 90 + }, + { + "epoch": 0.01, + "learning_rate": 4.0625000000000005e-06, + "loss": 0.6224, + "step": 91 + }, + { + "epoch": 0.01, + "learning_rate": 4.107142857142857e-06, + "loss": 0.6218, + "step": 92 + }, + { + "epoch": 0.01, + "learning_rate": 4.151785714285715e-06, + "loss": 0.6219, + "step": 93 + }, + { + "epoch": 0.01, + "learning_rate": 4.196428571428572e-06, + "loss": 0.6359, + "step": 94 + }, + { + "epoch": 0.01, + "learning_rate": 4.241071428571429e-06, + "loss": 0.5867, + "step": 95 + }, + { + "epoch": 0.01, + "learning_rate": 4.2857142857142855e-06, + "loss": 0.5896, + "step": 96 + }, + { + "epoch": 0.01, + "learning_rate": 4.330357142857143e-06, + "loss": 0.5976, + "step": 97 + }, + { + "epoch": 0.01, + "learning_rate": 4.3750000000000005e-06, + "loss": 0.5983, + "step": 98 + }, + { + "epoch": 0.01, + "learning_rate": 4.419642857142857e-06, + "loss": 0.5824, + "step": 99 + }, + { + "epoch": 0.01, + "learning_rate": 4.464285714285715e-06, + "loss": 0.5838, + "step": 100 + }, + { + "epoch": 0.01, + "learning_rate": 4.508928571428572e-06, + "loss": 0.5653, + "step": 101 + }, + { + "epoch": 0.01, + "learning_rate": 4.553571428571429e-06, + "loss": 0.5493, + "step": 102 + }, + { + "epoch": 0.01, + "learning_rate": 4.5982142857142854e-06, + "loss": 0.5768, + "step": 103 + }, + { + "epoch": 0.01, + "learning_rate": 4.642857142857144e-06, + "loss": 0.5643, + "step": 104 + }, + { + "epoch": 0.01, + "learning_rate": 4.6875000000000004e-06, + "loss": 0.5798, + "step": 105 + }, + { + "epoch": 0.01, + "learning_rate": 4.732142857142857e-06, + "loss": 0.6051, + "step": 106 + }, + { + "epoch": 0.01, + "learning_rate": 4.776785714285715e-06, + "loss": 0.5454, + "step": 107 + }, + { + "epoch": 0.01, + "learning_rate": 4.821428571428572e-06, + "loss": 0.5933, + "step": 108 + }, + { + "epoch": 0.01, + "learning_rate": 4.866071428571429e-06, + "loss": 0.5633, + "step": 109 + }, + { + "epoch": 0.01, + "learning_rate": 4.910714285714286e-06, + "loss": 0.5907, + "step": 110 + }, + { + "epoch": 0.01, + "learning_rate": 4.955357142857144e-06, + "loss": 0.5521, + "step": 111 + }, + { + "epoch": 0.02, + "learning_rate": 5e-06, + "loss": 0.5709, + "step": 112 + }, + { + "epoch": 0.02, + "learning_rate": 5.044642857142857e-06, + "loss": 0.5419, + "step": 113 + }, + { + "epoch": 0.02, + "learning_rate": 5.0892857142857146e-06, + "loss": 0.5927, + "step": 114 + }, + { + "epoch": 0.02, + "learning_rate": 5.133928571428571e-06, + "loss": 0.5579, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 5.1785714285714296e-06, + "loss": 0.5833, + "step": 116 + }, + { + "epoch": 0.02, + "learning_rate": 5.223214285714286e-06, + "loss": 0.5368, + "step": 117 + }, + { + "epoch": 0.02, + "learning_rate": 5.267857142857144e-06, + "loss": 0.528, + "step": 118 + }, + { + "epoch": 0.02, + "learning_rate": 5.3125e-06, + "loss": 0.5922, + "step": 119 + }, + { + "epoch": 0.02, + "learning_rate": 5.357142857142857e-06, + "loss": 0.6125, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 5.4017857142857145e-06, + "loss": 0.5547, + "step": 121 + }, + { + "epoch": 0.02, + "learning_rate": 5.446428571428571e-06, + "loss": 0.555, + "step": 122 + }, + { + "epoch": 0.02, + "learning_rate": 5.4910714285714295e-06, + "loss": 0.5522, + "step": 123 + }, + { + "epoch": 0.02, + "learning_rate": 5.535714285714286e-06, + "loss": 0.5435, + "step": 124 + }, + { + "epoch": 0.02, + "learning_rate": 5.580357142857144e-06, + "loss": 0.5315, + "step": 125 + }, + { + "epoch": 0.02, + "learning_rate": 5.625e-06, + "loss": 0.5583, + "step": 126 + }, + { + "epoch": 0.02, + "learning_rate": 5.669642857142858e-06, + "loss": 0.5276, + "step": 127 + }, + { + "epoch": 0.02, + "learning_rate": 5.7142857142857145e-06, + "loss": 0.5575, + "step": 128 + }, + { + "epoch": 0.02, + "learning_rate": 5.758928571428571e-06, + "loss": 0.5789, + "step": 129 + }, + { + "epoch": 0.02, + "learning_rate": 5.8035714285714295e-06, + "loss": 0.566, + "step": 130 + }, + { + "epoch": 0.02, + "learning_rate": 5.848214285714286e-06, + "loss": 0.5605, + "step": 131 + }, + { + "epoch": 0.02, + "learning_rate": 5.892857142857144e-06, + "loss": 0.5839, + "step": 132 + }, + { + "epoch": 0.02, + "learning_rate": 5.9375e-06, + "loss": 0.55, + "step": 133 + }, + { + "epoch": 0.02, + "learning_rate": 5.982142857142858e-06, + "loss": 0.5959, + "step": 134 + }, + { + "epoch": 0.02, + "learning_rate": 6.0267857142857145e-06, + "loss": 0.5604, + "step": 135 + }, + { + "epoch": 0.02, + "learning_rate": 6.071428571428571e-06, + "loss": 0.5803, + "step": 136 + }, + { + "epoch": 0.02, + "learning_rate": 6.1160714285714295e-06, + "loss": 0.5211, + "step": 137 + }, + { + "epoch": 0.02, + "learning_rate": 6.160714285714286e-06, + "loss": 0.5008, + "step": 138 + }, + { + "epoch": 0.02, + "learning_rate": 6.205357142857144e-06, + "loss": 0.6093, + "step": 139 + }, + { + "epoch": 0.02, + "learning_rate": 6.25e-06, + "loss": 0.5309, + "step": 140 + }, + { + "epoch": 0.02, + "learning_rate": 6.294642857142858e-06, + "loss": 0.5883, + "step": 141 + }, + { + "epoch": 0.02, + "learning_rate": 6.3392857142857145e-06, + "loss": 0.5639, + "step": 142 + }, + { + "epoch": 0.02, + "learning_rate": 6.383928571428571e-06, + "loss": 0.5472, + "step": 143 + }, + { + "epoch": 0.02, + "learning_rate": 6.4285714285714295e-06, + "loss": 0.5342, + "step": 144 + }, + { + "epoch": 0.02, + "learning_rate": 6.473214285714287e-06, + "loss": 0.5617, + "step": 145 + }, + { + "epoch": 0.02, + "learning_rate": 6.517857142857144e-06, + "loss": 0.5503, + "step": 146 + }, + { + "epoch": 0.02, + "learning_rate": 6.5625e-06, + "loss": 0.5394, + "step": 147 + }, + { + "epoch": 0.02, + "learning_rate": 6.607142857142858e-06, + "loss": 0.5491, + "step": 148 + }, + { + "epoch": 0.02, + "learning_rate": 6.6517857142857144e-06, + "loss": 0.515, + "step": 149 + }, + { + "epoch": 0.02, + "learning_rate": 6.696428571428571e-06, + "loss": 0.5832, + "step": 150 + }, + { + "epoch": 0.02, + "learning_rate": 6.7410714285714294e-06, + "loss": 0.5492, + "step": 151 + }, + { + "epoch": 0.02, + "learning_rate": 6.785714285714287e-06, + "loss": 0.5173, + "step": 152 + }, + { + "epoch": 0.02, + "learning_rate": 6.830357142857144e-06, + "loss": 0.558, + "step": 153 + }, + { + "epoch": 0.02, + "learning_rate": 6.875e-06, + "loss": 0.564, + "step": 154 + }, + { + "epoch": 0.02, + "learning_rate": 6.919642857142858e-06, + "loss": 0.561, + "step": 155 + }, + { + "epoch": 0.02, + "learning_rate": 6.964285714285714e-06, + "loss": 0.5411, + "step": 156 + }, + { + "epoch": 0.02, + "learning_rate": 7.008928571428572e-06, + "loss": 0.5422, + "step": 157 + }, + { + "epoch": 0.02, + "learning_rate": 7.053571428571429e-06, + "loss": 0.5611, + "step": 158 + }, + { + "epoch": 0.02, + "learning_rate": 7.098214285714287e-06, + "loss": 0.5072, + "step": 159 + }, + { + "epoch": 0.02, + "learning_rate": 7.1428571428571436e-06, + "loss": 0.5524, + "step": 160 + }, + { + "epoch": 0.02, + "learning_rate": 7.1875e-06, + "loss": 0.5506, + "step": 161 + }, + { + "epoch": 0.02, + "learning_rate": 7.232142857142858e-06, + "loss": 0.5407, + "step": 162 + }, + { + "epoch": 0.02, + "learning_rate": 7.276785714285714e-06, + "loss": 0.5204, + "step": 163 + }, + { + "epoch": 0.02, + "learning_rate": 7.321428571428572e-06, + "loss": 0.5563, + "step": 164 + }, + { + "epoch": 0.02, + "learning_rate": 7.366071428571429e-06, + "loss": 0.5685, + "step": 165 + }, + { + "epoch": 0.02, + "learning_rate": 7.410714285714287e-06, + "loss": 0.5519, + "step": 166 + }, + { + "epoch": 0.02, + "learning_rate": 7.4553571428571435e-06, + "loss": 0.5555, + "step": 167 + }, + { + "epoch": 0.02, + "learning_rate": 7.500000000000001e-06, + "loss": 0.5298, + "step": 168 + }, + { + "epoch": 0.02, + "learning_rate": 7.544642857142858e-06, + "loss": 0.5154, + "step": 169 + }, + { + "epoch": 0.02, + "learning_rate": 7.589285714285714e-06, + "loss": 0.505, + "step": 170 + }, + { + "epoch": 0.02, + "learning_rate": 7.633928571428572e-06, + "loss": 0.511, + "step": 171 + }, + { + "epoch": 0.02, + "learning_rate": 7.67857142857143e-06, + "loss": 0.5271, + "step": 172 + }, + { + "epoch": 0.02, + "learning_rate": 7.723214285714287e-06, + "loss": 0.5428, + "step": 173 + }, + { + "epoch": 0.02, + "learning_rate": 7.767857142857144e-06, + "loss": 0.5204, + "step": 174 + }, + { + "epoch": 0.02, + "learning_rate": 7.8125e-06, + "loss": 0.5461, + "step": 175 + }, + { + "epoch": 0.02, + "learning_rate": 7.857142857142858e-06, + "loss": 0.5131, + "step": 176 + }, + { + "epoch": 0.02, + "learning_rate": 7.901785714285715e-06, + "loss": 0.5456, + "step": 177 + }, + { + "epoch": 0.02, + "learning_rate": 7.946428571428571e-06, + "loss": 0.5532, + "step": 178 + }, + { + "epoch": 0.02, + "learning_rate": 7.99107142857143e-06, + "loss": 0.5339, + "step": 179 + }, + { + "epoch": 0.02, + "learning_rate": 8.035714285714286e-06, + "loss": 0.5163, + "step": 180 + }, + { + "epoch": 0.02, + "learning_rate": 8.080357142857143e-06, + "loss": 0.5709, + "step": 181 + }, + { + "epoch": 0.02, + "learning_rate": 8.125000000000001e-06, + "loss": 0.5288, + "step": 182 + }, + { + "epoch": 0.02, + "learning_rate": 8.169642857142858e-06, + "loss": 0.4962, + "step": 183 + }, + { + "epoch": 0.02, + "learning_rate": 8.214285714285714e-06, + "loss": 0.5211, + "step": 184 + }, + { + "epoch": 0.02, + "learning_rate": 8.258928571428572e-06, + "loss": 0.4981, + "step": 185 + }, + { + "epoch": 0.02, + "learning_rate": 8.30357142857143e-06, + "loss": 0.4781, + "step": 186 + }, + { + "epoch": 0.03, + "learning_rate": 8.348214285714287e-06, + "loss": 0.5622, + "step": 187 + }, + { + "epoch": 0.03, + "learning_rate": 8.392857142857144e-06, + "loss": 0.5303, + "step": 188 + }, + { + "epoch": 0.03, + "learning_rate": 8.4375e-06, + "loss": 0.5355, + "step": 189 + }, + { + "epoch": 0.03, + "learning_rate": 8.482142857142858e-06, + "loss": 0.5287, + "step": 190 + }, + { + "epoch": 0.03, + "learning_rate": 8.526785714285715e-06, + "loss": 0.546, + "step": 191 + }, + { + "epoch": 0.03, + "learning_rate": 8.571428571428571e-06, + "loss": 0.5642, + "step": 192 + }, + { + "epoch": 0.03, + "learning_rate": 8.61607142857143e-06, + "loss": 0.5316, + "step": 193 + }, + { + "epoch": 0.03, + "learning_rate": 8.660714285714286e-06, + "loss": 0.5387, + "step": 194 + }, + { + "epoch": 0.03, + "learning_rate": 8.705357142857143e-06, + "loss": 0.5282, + "step": 195 + }, + { + "epoch": 0.03, + "learning_rate": 8.750000000000001e-06, + "loss": 0.5572, + "step": 196 + }, + { + "epoch": 0.03, + "learning_rate": 8.794642857142858e-06, + "loss": 0.5696, + "step": 197 + }, + { + "epoch": 0.03, + "learning_rate": 8.839285714285714e-06, + "loss": 0.5055, + "step": 198 + }, + { + "epoch": 0.03, + "learning_rate": 8.883928571428572e-06, + "loss": 0.5287, + "step": 199 + }, + { + "epoch": 0.03, + "learning_rate": 8.92857142857143e-06, + "loss": 0.5058, + "step": 200 + }, + { + "epoch": 0.03, + "learning_rate": 8.973214285714287e-06, + "loss": 0.5489, + "step": 201 + }, + { + "epoch": 0.03, + "learning_rate": 9.017857142857144e-06, + "loss": 0.5192, + "step": 202 + }, + { + "epoch": 0.03, + "learning_rate": 9.0625e-06, + "loss": 0.4852, + "step": 203 + }, + { + "epoch": 0.03, + "learning_rate": 9.107142857142858e-06, + "loss": 0.5376, + "step": 204 + }, + { + "epoch": 0.03, + "learning_rate": 9.151785714285715e-06, + "loss": 0.4967, + "step": 205 + }, + { + "epoch": 0.03, + "learning_rate": 9.196428571428571e-06, + "loss": 0.5439, + "step": 206 + }, + { + "epoch": 0.03, + "learning_rate": 9.24107142857143e-06, + "loss": 0.5504, + "step": 207 + }, + { + "epoch": 0.03, + "learning_rate": 9.285714285714288e-06, + "loss": 0.5283, + "step": 208 + }, + { + "epoch": 0.03, + "learning_rate": 9.330357142857143e-06, + "loss": 0.5504, + "step": 209 + }, + { + "epoch": 0.03, + "learning_rate": 9.375000000000001e-06, + "loss": 0.5196, + "step": 210 + }, + { + "epoch": 0.03, + "learning_rate": 9.419642857142858e-06, + "loss": 0.55, + "step": 211 + }, + { + "epoch": 0.03, + "learning_rate": 9.464285714285714e-06, + "loss": 0.5194, + "step": 212 + }, + { + "epoch": 0.03, + "learning_rate": 9.508928571428572e-06, + "loss": 0.562, + "step": 213 + }, + { + "epoch": 0.03, + "learning_rate": 9.55357142857143e-06, + "loss": 0.5501, + "step": 214 + }, + { + "epoch": 0.03, + "learning_rate": 9.598214285714287e-06, + "loss": 0.527, + "step": 215 + }, + { + "epoch": 0.03, + "learning_rate": 9.642857142857144e-06, + "loss": 0.5362, + "step": 216 + }, + { + "epoch": 0.03, + "learning_rate": 9.6875e-06, + "loss": 0.5389, + "step": 217 + }, + { + "epoch": 0.03, + "learning_rate": 9.732142857142858e-06, + "loss": 0.5363, + "step": 218 + }, + { + "epoch": 0.03, + "learning_rate": 9.776785714285715e-06, + "loss": 0.5403, + "step": 219 + }, + { + "epoch": 0.03, + "learning_rate": 9.821428571428573e-06, + "loss": 0.5213, + "step": 220 + }, + { + "epoch": 0.03, + "learning_rate": 9.86607142857143e-06, + "loss": 0.5253, + "step": 221 + }, + { + "epoch": 0.03, + "learning_rate": 9.910714285714288e-06, + "loss": 0.5313, + "step": 222 + }, + { + "epoch": 0.03, + "learning_rate": 9.955357142857143e-06, + "loss": 0.5105, + "step": 223 + }, + { + "epoch": 0.03, + "learning_rate": 1e-05, + "loss": 0.5085, + "step": 224 + }, + { + "epoch": 0.03, + "learning_rate": 9.999999526537418e-06, + "loss": 0.5588, + "step": 225 + }, + { + "epoch": 0.03, + "learning_rate": 9.999998106149756e-06, + "loss": 0.5523, + "step": 226 + }, + { + "epoch": 0.03, + "learning_rate": 9.999995738837287e-06, + "loss": 0.5198, + "step": 227 + }, + { + "epoch": 0.03, + "learning_rate": 9.999992424600458e-06, + "loss": 0.5052, + "step": 228 + }, + { + "epoch": 0.03, + "learning_rate": 9.999988163439896e-06, + "loss": 0.5336, + "step": 229 + }, + { + "epoch": 0.03, + "learning_rate": 9.99998295535641e-06, + "loss": 0.5344, + "step": 230 + }, + { + "epoch": 0.03, + "learning_rate": 9.999976800350983e-06, + "loss": 0.5216, + "step": 231 + }, + { + "epoch": 0.03, + "learning_rate": 9.999969698424784e-06, + "loss": 0.5375, + "step": 232 + }, + { + "epoch": 0.03, + "learning_rate": 9.999961649579155e-06, + "loss": 0.5504, + "step": 233 + }, + { + "epoch": 0.03, + "learning_rate": 9.999952653815622e-06, + "loss": 0.5155, + "step": 234 + }, + { + "epoch": 0.03, + "learning_rate": 9.99994271113589e-06, + "loss": 0.5396, + "step": 235 + }, + { + "epoch": 0.03, + "learning_rate": 9.99993182154184e-06, + "loss": 0.5297, + "step": 236 + }, + { + "epoch": 0.03, + "learning_rate": 9.999919985035534e-06, + "loss": 0.5501, + "step": 237 + }, + { + "epoch": 0.03, + "learning_rate": 9.999907201619217e-06, + "loss": 0.5451, + "step": 238 + }, + { + "epoch": 0.03, + "learning_rate": 9.999893471295305e-06, + "loss": 0.5374, + "step": 239 + }, + { + "epoch": 0.03, + "learning_rate": 9.999878794066402e-06, + "loss": 0.5353, + "step": 240 + }, + { + "epoch": 0.03, + "learning_rate": 9.999863169935286e-06, + "loss": 0.5058, + "step": 241 + }, + { + "epoch": 0.03, + "learning_rate": 9.999846598904918e-06, + "loss": 0.5158, + "step": 242 + }, + { + "epoch": 0.03, + "learning_rate": 9.999829080978433e-06, + "loss": 0.5177, + "step": 243 + }, + { + "epoch": 0.03, + "learning_rate": 9.999810616159151e-06, + "loss": 0.5366, + "step": 244 + }, + { + "epoch": 0.03, + "learning_rate": 9.99979120445057e-06, + "loss": 0.539, + "step": 245 + }, + { + "epoch": 0.03, + "learning_rate": 9.999770845856363e-06, + "loss": 0.5275, + "step": 246 + }, + { + "epoch": 0.03, + "learning_rate": 9.999749540380385e-06, + "loss": 0.5153, + "step": 247 + }, + { + "epoch": 0.03, + "learning_rate": 9.999727288026677e-06, + "loss": 0.5367, + "step": 248 + }, + { + "epoch": 0.03, + "learning_rate": 9.999704088799449e-06, + "loss": 0.5486, + "step": 249 + }, + { + "epoch": 0.03, + "learning_rate": 9.999679942703094e-06, + "loss": 0.5476, + "step": 250 + }, + { + "epoch": 0.03, + "learning_rate": 9.999654849742187e-06, + "loss": 0.55, + "step": 251 + }, + { + "epoch": 0.03, + "learning_rate": 9.999628809921478e-06, + "loss": 0.5601, + "step": 252 + }, + { + "epoch": 0.03, + "learning_rate": 9.9996018232459e-06, + "loss": 0.5112, + "step": 253 + }, + { + "epoch": 0.03, + "learning_rate": 9.999573889720565e-06, + "loss": 0.5459, + "step": 254 + }, + { + "epoch": 0.03, + "learning_rate": 9.999545009350759e-06, + "loss": 0.4988, + "step": 255 + }, + { + "epoch": 0.03, + "learning_rate": 9.999515182141956e-06, + "loss": 0.5341, + "step": 256 + }, + { + "epoch": 0.03, + "learning_rate": 9.999484408099804e-06, + "loss": 0.544, + "step": 257 + }, + { + "epoch": 0.03, + "learning_rate": 9.99945268723013e-06, + "loss": 0.509, + "step": 258 + }, + { + "epoch": 0.03, + "learning_rate": 9.999420019538942e-06, + "loss": 0.5515, + "step": 259 + }, + { + "epoch": 0.03, + "learning_rate": 9.999386405032425e-06, + "loss": 0.5518, + "step": 260 + }, + { + "epoch": 0.04, + "learning_rate": 9.999351843716948e-06, + "loss": 0.5239, + "step": 261 + }, + { + "epoch": 0.04, + "learning_rate": 9.999316335599055e-06, + "loss": 0.5329, + "step": 262 + }, + { + "epoch": 0.04, + "learning_rate": 9.999279880685472e-06, + "loss": 0.5482, + "step": 263 + }, + { + "epoch": 0.04, + "learning_rate": 9.999242478983097e-06, + "loss": 0.5085, + "step": 264 + }, + { + "epoch": 0.04, + "learning_rate": 9.999204130499022e-06, + "loss": 0.512, + "step": 265 + }, + { + "epoch": 0.04, + "learning_rate": 9.999164835240504e-06, + "loss": 0.5247, + "step": 266 + }, + { + "epoch": 0.04, + "learning_rate": 9.999124593214989e-06, + "loss": 0.5314, + "step": 267 + }, + { + "epoch": 0.04, + "learning_rate": 9.999083404430095e-06, + "loss": 0.5248, + "step": 268 + }, + { + "epoch": 0.04, + "learning_rate": 9.999041268893622e-06, + "loss": 0.5316, + "step": 269 + }, + { + "epoch": 0.04, + "learning_rate": 9.998998186613552e-06, + "loss": 0.5149, + "step": 270 + }, + { + "epoch": 0.04, + "learning_rate": 9.998954157598043e-06, + "loss": 0.4907, + "step": 271 + }, + { + "epoch": 0.04, + "learning_rate": 9.998909181855434e-06, + "loss": 0.5211, + "step": 272 + }, + { + "epoch": 0.04, + "learning_rate": 9.998863259394244e-06, + "loss": 0.4968, + "step": 273 + }, + { + "epoch": 0.04, + "learning_rate": 9.998816390223168e-06, + "loss": 0.5275, + "step": 274 + }, + { + "epoch": 0.04, + "learning_rate": 9.99876857435108e-06, + "loss": 0.51, + "step": 275 + }, + { + "epoch": 0.04, + "learning_rate": 9.998719811787042e-06, + "loss": 0.5149, + "step": 276 + }, + { + "epoch": 0.04, + "learning_rate": 9.998670102540285e-06, + "loss": 0.5351, + "step": 277 + }, + { + "epoch": 0.04, + "learning_rate": 9.998619446620222e-06, + "loss": 0.5374, + "step": 278 + }, + { + "epoch": 0.04, + "learning_rate": 9.998567844036449e-06, + "loss": 0.5364, + "step": 279 + }, + { + "epoch": 0.04, + "learning_rate": 9.998515294798738e-06, + "loss": 0.534, + "step": 280 + }, + { + "epoch": 0.04, + "learning_rate": 9.99846179891704e-06, + "loss": 0.5393, + "step": 281 + }, + { + "epoch": 0.04, + "learning_rate": 9.998407356401488e-06, + "loss": 0.5565, + "step": 282 + }, + { + "epoch": 0.04, + "learning_rate": 9.998351967262391e-06, + "loss": 0.5321, + "step": 283 + }, + { + "epoch": 0.04, + "learning_rate": 9.998295631510242e-06, + "loss": 0.5525, + "step": 284 + }, + { + "epoch": 0.04, + "learning_rate": 9.998238349155706e-06, + "loss": 0.5332, + "step": 285 + }, + { + "epoch": 0.04, + "learning_rate": 9.998180120209632e-06, + "loss": 0.5462, + "step": 286 + }, + { + "epoch": 0.04, + "learning_rate": 9.998120944683052e-06, + "loss": 0.4955, + "step": 287 + }, + { + "epoch": 0.04, + "learning_rate": 9.998060822587167e-06, + "loss": 0.4783, + "step": 288 + }, + { + "epoch": 0.04, + "learning_rate": 9.997999753933368e-06, + "loss": 0.5355, + "step": 289 + }, + { + "epoch": 0.04, + "learning_rate": 9.997937738733218e-06, + "loss": 0.5115, + "step": 290 + }, + { + "epoch": 0.04, + "learning_rate": 9.997874776998463e-06, + "loss": 0.4971, + "step": 291 + }, + { + "epoch": 0.04, + "learning_rate": 9.997810868741024e-06, + "loss": 0.5348, + "step": 292 + }, + { + "epoch": 0.04, + "learning_rate": 9.997746013973008e-06, + "loss": 0.5623, + "step": 293 + }, + { + "epoch": 0.04, + "learning_rate": 9.997680212706698e-06, + "loss": 0.5572, + "step": 294 + }, + { + "epoch": 0.04, + "learning_rate": 9.997613464954551e-06, + "loss": 0.5273, + "step": 295 + }, + { + "epoch": 0.04, + "learning_rate": 9.997545770729213e-06, + "loss": 0.5472, + "step": 296 + }, + { + "epoch": 0.04, + "learning_rate": 9.9974771300435e-06, + "loss": 0.5459, + "step": 297 + }, + { + "epoch": 0.04, + "learning_rate": 9.997407542910415e-06, + "loss": 0.5024, + "step": 298 + }, + { + "epoch": 0.04, + "learning_rate": 9.997337009343137e-06, + "loss": 0.504, + "step": 299 + }, + { + "epoch": 0.04, + "learning_rate": 9.99726552935502e-06, + "loss": 0.5348, + "step": 300 + }, + { + "epoch": 0.04, + "learning_rate": 9.997193102959607e-06, + "loss": 0.5336, + "step": 301 + }, + { + "epoch": 0.04, + "learning_rate": 9.997119730170608e-06, + "loss": 0.5787, + "step": 302 + }, + { + "epoch": 0.04, + "learning_rate": 9.997045411001923e-06, + "loss": 0.5095, + "step": 303 + }, + { + "epoch": 0.04, + "learning_rate": 9.996970145467626e-06, + "loss": 0.5423, + "step": 304 + }, + { + "epoch": 0.04, + "learning_rate": 9.99689393358197e-06, + "loss": 0.5351, + "step": 305 + }, + { + "epoch": 0.04, + "learning_rate": 9.996816775359392e-06, + "loss": 0.5426, + "step": 306 + }, + { + "epoch": 0.04, + "learning_rate": 9.9967386708145e-06, + "loss": 0.5169, + "step": 307 + }, + { + "epoch": 0.04, + "learning_rate": 9.996659619962088e-06, + "loss": 0.5169, + "step": 308 + }, + { + "epoch": 0.04, + "learning_rate": 9.996579622817127e-06, + "loss": 0.4865, + "step": 309 + }, + { + "epoch": 0.04, + "learning_rate": 9.996498679394769e-06, + "loss": 0.5336, + "step": 310 + }, + { + "epoch": 0.04, + "learning_rate": 9.99641678971034e-06, + "loss": 0.5382, + "step": 311 + }, + { + "epoch": 0.04, + "learning_rate": 9.99633395377935e-06, + "loss": 0.5241, + "step": 312 + }, + { + "epoch": 0.04, + "learning_rate": 9.996250171617487e-06, + "loss": 0.5132, + "step": 313 + }, + { + "epoch": 0.04, + "learning_rate": 9.996165443240619e-06, + "loss": 0.5039, + "step": 314 + }, + { + "epoch": 0.04, + "learning_rate": 9.996079768664791e-06, + "loss": 0.5098, + "step": 315 + }, + { + "epoch": 0.04, + "learning_rate": 9.99599314790623e-06, + "loss": 0.5078, + "step": 316 + }, + { + "epoch": 0.04, + "learning_rate": 9.995905580981339e-06, + "loss": 0.5161, + "step": 317 + }, + { + "epoch": 0.04, + "learning_rate": 9.995817067906704e-06, + "loss": 0.5399, + "step": 318 + }, + { + "epoch": 0.04, + "learning_rate": 9.995727608699084e-06, + "loss": 0.5322, + "step": 319 + }, + { + "epoch": 0.04, + "learning_rate": 9.995637203375425e-06, + "loss": 0.5396, + "step": 320 + }, + { + "epoch": 0.04, + "learning_rate": 9.995545851952848e-06, + "loss": 0.5015, + "step": 321 + }, + { + "epoch": 0.04, + "learning_rate": 9.995453554448652e-06, + "loss": 0.4874, + "step": 322 + }, + { + "epoch": 0.04, + "learning_rate": 9.995360310880319e-06, + "loss": 0.5631, + "step": 323 + }, + { + "epoch": 0.04, + "learning_rate": 9.995266121265507e-06, + "loss": 0.5373, + "step": 324 + }, + { + "epoch": 0.04, + "learning_rate": 9.995170985622052e-06, + "loss": 0.5442, + "step": 325 + }, + { + "epoch": 0.04, + "learning_rate": 9.995074903967974e-06, + "loss": 0.5285, + "step": 326 + }, + { + "epoch": 0.04, + "learning_rate": 9.994977876321468e-06, + "loss": 0.525, + "step": 327 + }, + { + "epoch": 0.04, + "learning_rate": 9.99487990270091e-06, + "loss": 0.5198, + "step": 328 + }, + { + "epoch": 0.04, + "learning_rate": 9.994780983124855e-06, + "loss": 0.5123, + "step": 329 + }, + { + "epoch": 0.04, + "learning_rate": 9.994681117612037e-06, + "loss": 0.5449, + "step": 330 + }, + { + "epoch": 0.04, + "learning_rate": 9.994580306181368e-06, + "loss": 0.5338, + "step": 331 + }, + { + "epoch": 0.04, + "learning_rate": 9.994478548851941e-06, + "loss": 0.5246, + "step": 332 + }, + { + "epoch": 0.04, + "learning_rate": 9.994375845643026e-06, + "loss": 0.5315, + "step": 333 + }, + { + "epoch": 0.04, + "learning_rate": 9.994272196574077e-06, + "loss": 0.5535, + "step": 334 + }, + { + "epoch": 0.05, + "learning_rate": 9.994167601664719e-06, + "loss": 0.5401, + "step": 335 + }, + { + "epoch": 0.05, + "learning_rate": 9.994062060934763e-06, + "loss": 0.4832, + "step": 336 + }, + { + "epoch": 0.05, + "learning_rate": 9.993955574404197e-06, + "loss": 0.5694, + "step": 337 + }, + { + "epoch": 0.05, + "learning_rate": 9.99384814209319e-06, + "loss": 0.5409, + "step": 338 + }, + { + "epoch": 0.05, + "learning_rate": 9.993739764022084e-06, + "loss": 0.5088, + "step": 339 + }, + { + "epoch": 0.05, + "learning_rate": 9.993630440211404e-06, + "loss": 0.5416, + "step": 340 + }, + { + "epoch": 0.05, + "learning_rate": 9.993520170681858e-06, + "loss": 0.5249, + "step": 341 + }, + { + "epoch": 0.05, + "learning_rate": 9.993408955454328e-06, + "loss": 0.5006, + "step": 342 + }, + { + "epoch": 0.05, + "learning_rate": 9.993296794549877e-06, + "loss": 0.5174, + "step": 343 + }, + { + "epoch": 0.05, + "learning_rate": 9.993183687989743e-06, + "loss": 0.5443, + "step": 344 + }, + { + "epoch": 0.05, + "learning_rate": 9.993069635795352e-06, + "loss": 0.5277, + "step": 345 + }, + { + "epoch": 0.05, + "learning_rate": 9.992954637988299e-06, + "loss": 0.5148, + "step": 346 + }, + { + "epoch": 0.05, + "learning_rate": 9.992838694590365e-06, + "loss": 0.5492, + "step": 347 + }, + { + "epoch": 0.05, + "learning_rate": 9.99272180562351e-06, + "loss": 0.5226, + "step": 348 + }, + { + "epoch": 0.05, + "learning_rate": 9.992603971109869e-06, + "loss": 0.5008, + "step": 349 + }, + { + "epoch": 0.05, + "learning_rate": 9.992485191071756e-06, + "loss": 0.5425, + "step": 350 + }, + { + "epoch": 0.05, + "learning_rate": 9.99236546553167e-06, + "loss": 0.5176, + "step": 351 + }, + { + "epoch": 0.05, + "learning_rate": 9.992244794512282e-06, + "loss": 0.5045, + "step": 352 + }, + { + "epoch": 0.05, + "learning_rate": 9.992123178036447e-06, + "loss": 0.5346, + "step": 353 + }, + { + "epoch": 0.05, + "learning_rate": 9.9920006161272e-06, + "loss": 0.5227, + "step": 354 + }, + { + "epoch": 0.05, + "learning_rate": 9.991877108807745e-06, + "loss": 0.5195, + "step": 355 + }, + { + "epoch": 0.05, + "learning_rate": 9.99175265610148e-06, + "loss": 0.5162, + "step": 356 + }, + { + "epoch": 0.05, + "learning_rate": 9.991627258031972e-06, + "loss": 0.5206, + "step": 357 + }, + { + "epoch": 0.05, + "learning_rate": 9.991500914622967e-06, + "loss": 0.5015, + "step": 358 + }, + { + "epoch": 0.05, + "learning_rate": 9.991373625898395e-06, + "loss": 0.5118, + "step": 359 + }, + { + "epoch": 0.05, + "learning_rate": 9.991245391882363e-06, + "loss": 0.4963, + "step": 360 + }, + { + "epoch": 0.05, + "learning_rate": 9.991116212599155e-06, + "loss": 0.5138, + "step": 361 + }, + { + "epoch": 0.05, + "learning_rate": 9.990986088073235e-06, + "loss": 0.4976, + "step": 362 + }, + { + "epoch": 0.05, + "learning_rate": 9.99085501832925e-06, + "loss": 0.5029, + "step": 363 + }, + { + "epoch": 0.05, + "learning_rate": 9.99072300339202e-06, + "loss": 0.5145, + "step": 364 + }, + { + "epoch": 0.05, + "learning_rate": 9.990590043286546e-06, + "loss": 0.5072, + "step": 365 + }, + { + "epoch": 0.05, + "learning_rate": 9.990456138038012e-06, + "loss": 0.5301, + "step": 366 + }, + { + "epoch": 0.05, + "learning_rate": 9.990321287671773e-06, + "loss": 0.514, + "step": 367 + }, + { + "epoch": 0.05, + "learning_rate": 9.990185492213373e-06, + "loss": 0.5266, + "step": 368 + }, + { + "epoch": 0.05, + "learning_rate": 9.990048751688526e-06, + "loss": 0.5409, + "step": 369 + }, + { + "epoch": 0.05, + "learning_rate": 9.989911066123128e-06, + "loss": 0.4929, + "step": 370 + }, + { + "epoch": 0.05, + "learning_rate": 9.989772435543256e-06, + "loss": 0.5312, + "step": 371 + }, + { + "epoch": 0.05, + "learning_rate": 9.989632859975166e-06, + "loss": 0.4995, + "step": 372 + }, + { + "epoch": 0.05, + "learning_rate": 9.98949233944529e-06, + "loss": 0.5145, + "step": 373 + }, + { + "epoch": 0.05, + "learning_rate": 9.98935087398024e-06, + "loss": 0.5155, + "step": 374 + }, + { + "epoch": 0.05, + "learning_rate": 9.989208463606808e-06, + "loss": 0.4963, + "step": 375 + }, + { + "epoch": 0.05, + "learning_rate": 9.989065108351965e-06, + "loss": 0.4975, + "step": 376 + }, + { + "epoch": 0.05, + "learning_rate": 9.988920808242858e-06, + "loss": 0.5197, + "step": 377 + }, + { + "epoch": 0.05, + "learning_rate": 9.988775563306819e-06, + "loss": 0.5269, + "step": 378 + }, + { + "epoch": 0.05, + "learning_rate": 9.988629373571353e-06, + "loss": 0.4847, + "step": 379 + }, + { + "epoch": 0.05, + "learning_rate": 9.988482239064146e-06, + "loss": 0.4989, + "step": 380 + }, + { + "epoch": 0.05, + "learning_rate": 9.988334159813064e-06, + "loss": 0.5296, + "step": 381 + }, + { + "epoch": 0.05, + "learning_rate": 9.988185135846149e-06, + "loss": 0.5055, + "step": 382 + }, + { + "epoch": 0.05, + "learning_rate": 9.988035167191626e-06, + "loss": 0.5413, + "step": 383 + }, + { + "epoch": 0.05, + "learning_rate": 9.987884253877898e-06, + "loss": 0.4835, + "step": 384 + }, + { + "epoch": 0.05, + "learning_rate": 9.98773239593354e-06, + "loss": 0.5429, + "step": 385 + }, + { + "epoch": 0.05, + "learning_rate": 9.98757959338732e-06, + "loss": 0.5337, + "step": 386 + }, + { + "epoch": 0.05, + "learning_rate": 9.987425846268168e-06, + "loss": 0.5427, + "step": 387 + }, + { + "epoch": 0.05, + "learning_rate": 9.987271154605208e-06, + "loss": 0.518, + "step": 388 + }, + { + "epoch": 0.05, + "learning_rate": 9.987115518427734e-06, + "loss": 0.5389, + "step": 389 + }, + { + "epoch": 0.05, + "learning_rate": 9.98695893776522e-06, + "loss": 0.5378, + "step": 390 + }, + { + "epoch": 0.05, + "learning_rate": 9.98680141264732e-06, + "loss": 0.5416, + "step": 391 + }, + { + "epoch": 0.05, + "learning_rate": 9.98664294310387e-06, + "loss": 0.5363, + "step": 392 + }, + { + "epoch": 0.05, + "learning_rate": 9.986483529164877e-06, + "loss": 0.5106, + "step": 393 + }, + { + "epoch": 0.05, + "learning_rate": 9.986323170860538e-06, + "loss": 0.5226, + "step": 394 + }, + { + "epoch": 0.05, + "learning_rate": 9.986161868221215e-06, + "loss": 0.5194, + "step": 395 + }, + { + "epoch": 0.05, + "learning_rate": 9.985999621277462e-06, + "loss": 0.5597, + "step": 396 + }, + { + "epoch": 0.05, + "learning_rate": 9.985836430060003e-06, + "loss": 0.4986, + "step": 397 + }, + { + "epoch": 0.05, + "learning_rate": 9.985672294599745e-06, + "loss": 0.5282, + "step": 398 + }, + { + "epoch": 0.05, + "learning_rate": 9.985507214927773e-06, + "loss": 0.5359, + "step": 399 + }, + { + "epoch": 0.05, + "learning_rate": 9.98534119107535e-06, + "loss": 0.4943, + "step": 400 + }, + { + "epoch": 0.05, + "learning_rate": 9.98517422307392e-06, + "loss": 0.5558, + "step": 401 + }, + { + "epoch": 0.05, + "learning_rate": 9.985006310955104e-06, + "loss": 0.5015, + "step": 402 + }, + { + "epoch": 0.05, + "learning_rate": 9.9848374547507e-06, + "loss": 0.532, + "step": 403 + }, + { + "epoch": 0.05, + "learning_rate": 9.984667654492688e-06, + "loss": 0.542, + "step": 404 + }, + { + "epoch": 0.05, + "learning_rate": 9.984496910213226e-06, + "loss": 0.5173, + "step": 405 + }, + { + "epoch": 0.05, + "learning_rate": 9.98432522194465e-06, + "loss": 0.5063, + "step": 406 + }, + { + "epoch": 0.05, + "learning_rate": 9.984152589719476e-06, + "loss": 0.5206, + "step": 407 + }, + { + "epoch": 0.05, + "learning_rate": 9.983979013570397e-06, + "loss": 0.522, + "step": 408 + }, + { + "epoch": 0.05, + "learning_rate": 9.983804493530286e-06, + "loss": 0.5007, + "step": 409 + }, + { + "epoch": 0.06, + "learning_rate": 9.983629029632194e-06, + "loss": 0.5446, + "step": 410 + }, + { + "epoch": 0.06, + "learning_rate": 9.983452621909353e-06, + "loss": 0.5225, + "step": 411 + }, + { + "epoch": 0.06, + "learning_rate": 9.983275270395168e-06, + "loss": 0.5257, + "step": 412 + }, + { + "epoch": 0.06, + "learning_rate": 9.983096975123231e-06, + "loss": 0.5203, + "step": 413 + }, + { + "epoch": 0.06, + "learning_rate": 9.982917736127307e-06, + "loss": 0.4946, + "step": 414 + }, + { + "epoch": 0.06, + "learning_rate": 9.982737553441341e-06, + "loss": 0.5251, + "step": 415 + }, + { + "epoch": 0.06, + "learning_rate": 9.982556427099456e-06, + "loss": 0.5351, + "step": 416 + }, + { + "epoch": 0.06, + "learning_rate": 9.982374357135957e-06, + "loss": 0.5391, + "step": 417 + }, + { + "epoch": 0.06, + "learning_rate": 9.982191343585323e-06, + "loss": 0.5252, + "step": 418 + }, + { + "epoch": 0.06, + "learning_rate": 9.982007386482216e-06, + "loss": 0.5475, + "step": 419 + }, + { + "epoch": 0.06, + "learning_rate": 9.981822485861471e-06, + "loss": 0.5242, + "step": 420 + }, + { + "epoch": 0.06, + "learning_rate": 9.98163664175811e-06, + "loss": 0.5209, + "step": 421 + }, + { + "epoch": 0.06, + "learning_rate": 9.981449854207328e-06, + "loss": 0.5103, + "step": 422 + }, + { + "epoch": 0.06, + "learning_rate": 9.981262123244496e-06, + "loss": 0.5363, + "step": 423 + }, + { + "epoch": 0.06, + "learning_rate": 9.981073448905174e-06, + "loss": 0.5197, + "step": 424 + }, + { + "epoch": 0.06, + "learning_rate": 9.98088383122509e-06, + "loss": 0.514, + "step": 425 + }, + { + "epoch": 0.06, + "learning_rate": 9.980693270240153e-06, + "loss": 0.5526, + "step": 426 + }, + { + "epoch": 0.06, + "learning_rate": 9.980501765986455e-06, + "loss": 0.501, + "step": 427 + }, + { + "epoch": 0.06, + "learning_rate": 9.980309318500265e-06, + "loss": 0.5352, + "step": 428 + }, + { + "epoch": 0.06, + "learning_rate": 9.980115927818026e-06, + "loss": 0.4911, + "step": 429 + }, + { + "epoch": 0.06, + "learning_rate": 9.979921593976367e-06, + "loss": 0.5083, + "step": 430 + }, + { + "epoch": 0.06, + "learning_rate": 9.97972631701209e-06, + "loss": 0.5179, + "step": 431 + }, + { + "epoch": 0.06, + "learning_rate": 9.97953009696218e-06, + "loss": 0.5276, + "step": 432 + }, + { + "epoch": 0.06, + "learning_rate": 9.979332933863794e-06, + "loss": 0.5007, + "step": 433 + }, + { + "epoch": 0.06, + "learning_rate": 9.979134827754276e-06, + "loss": 0.5159, + "step": 434 + }, + { + "epoch": 0.06, + "learning_rate": 9.97893577867114e-06, + "loss": 0.504, + "step": 435 + }, + { + "epoch": 0.06, + "learning_rate": 9.978735786652086e-06, + "loss": 0.4944, + "step": 436 + }, + { + "epoch": 0.06, + "learning_rate": 9.978534851734989e-06, + "loss": 0.5247, + "step": 437 + }, + { + "epoch": 0.06, + "learning_rate": 9.978332973957904e-06, + "loss": 0.5176, + "step": 438 + }, + { + "epoch": 0.06, + "learning_rate": 9.97813015335906e-06, + "loss": 0.4897, + "step": 439 + }, + { + "epoch": 0.06, + "learning_rate": 9.97792638997687e-06, + "loss": 0.5034, + "step": 440 + }, + { + "epoch": 0.06, + "learning_rate": 9.977721683849927e-06, + "loss": 0.4855, + "step": 441 + }, + { + "epoch": 0.06, + "learning_rate": 9.977516035016997e-06, + "loss": 0.4879, + "step": 442 + }, + { + "epoch": 0.06, + "learning_rate": 9.977309443517024e-06, + "loss": 0.5283, + "step": 443 + }, + { + "epoch": 0.06, + "learning_rate": 9.977101909389137e-06, + "loss": 0.5392, + "step": 444 + }, + { + "epoch": 0.06, + "learning_rate": 9.976893432672637e-06, + "loss": 0.5016, + "step": 445 + }, + { + "epoch": 0.06, + "learning_rate": 9.97668401340701e-06, + "loss": 0.5171, + "step": 446 + }, + { + "epoch": 0.06, + "learning_rate": 9.976473651631912e-06, + "loss": 0.5217, + "step": 447 + }, + { + "epoch": 0.06, + "learning_rate": 9.97626234738719e-06, + "loss": 0.5378, + "step": 448 + }, + { + "epoch": 0.06, + "learning_rate": 9.976050100712854e-06, + "loss": 0.4999, + "step": 449 + }, + { + "epoch": 0.06, + "learning_rate": 9.975836911649102e-06, + "loss": 0.5166, + "step": 450 + }, + { + "epoch": 0.06, + "learning_rate": 9.975622780236312e-06, + "loss": 0.54, + "step": 451 + }, + { + "epoch": 0.06, + "learning_rate": 9.975407706515035e-06, + "loss": 0.5352, + "step": 452 + }, + { + "epoch": 0.06, + "learning_rate": 9.975191690526005e-06, + "loss": 0.5589, + "step": 453 + }, + { + "epoch": 0.06, + "learning_rate": 9.974974732310128e-06, + "loss": 0.4924, + "step": 454 + }, + { + "epoch": 0.06, + "learning_rate": 9.974756831908496e-06, + "loss": 0.5133, + "step": 455 + }, + { + "epoch": 0.06, + "learning_rate": 9.974537989362376e-06, + "loss": 0.5241, + "step": 456 + }, + { + "epoch": 0.06, + "learning_rate": 9.974318204713211e-06, + "loss": 0.5013, + "step": 457 + }, + { + "epoch": 0.06, + "learning_rate": 9.974097478002629e-06, + "loss": 0.5011, + "step": 458 + }, + { + "epoch": 0.06, + "learning_rate": 9.973875809272428e-06, + "loss": 0.5132, + "step": 459 + }, + { + "epoch": 0.06, + "learning_rate": 9.97365319856459e-06, + "loss": 0.5002, + "step": 460 + }, + { + "epoch": 0.06, + "learning_rate": 9.973429645921277e-06, + "loss": 0.498, + "step": 461 + }, + { + "epoch": 0.06, + "learning_rate": 9.973205151384823e-06, + "loss": 0.5146, + "step": 462 + }, + { + "epoch": 0.06, + "learning_rate": 9.972979714997746e-06, + "loss": 0.5104, + "step": 463 + }, + { + "epoch": 0.06, + "learning_rate": 9.972753336802738e-06, + "loss": 0.523, + "step": 464 + }, + { + "epoch": 0.06, + "learning_rate": 9.972526016842673e-06, + "loss": 0.5135, + "step": 465 + }, + { + "epoch": 0.06, + "learning_rate": 9.972297755160604e-06, + "loss": 0.5162, + "step": 466 + }, + { + "epoch": 0.06, + "learning_rate": 9.972068551799759e-06, + "loss": 0.5077, + "step": 467 + }, + { + "epoch": 0.06, + "learning_rate": 9.971838406803543e-06, + "loss": 0.5423, + "step": 468 + }, + { + "epoch": 0.06, + "learning_rate": 9.971607320215546e-06, + "loss": 0.4948, + "step": 469 + }, + { + "epoch": 0.06, + "learning_rate": 9.97137529207953e-06, + "loss": 0.556, + "step": 470 + }, + { + "epoch": 0.06, + "learning_rate": 9.971142322439437e-06, + "loss": 0.5019, + "step": 471 + }, + { + "epoch": 0.06, + "learning_rate": 9.97090841133939e-06, + "loss": 0.5163, + "step": 472 + }, + { + "epoch": 0.06, + "learning_rate": 9.970673558823689e-06, + "loss": 0.527, + "step": 473 + }, + { + "epoch": 0.06, + "learning_rate": 9.970437764936806e-06, + "loss": 0.5215, + "step": 474 + }, + { + "epoch": 0.06, + "learning_rate": 9.970201029723405e-06, + "loss": 0.5273, + "step": 475 + }, + { + "epoch": 0.06, + "learning_rate": 9.969963353228314e-06, + "loss": 0.5026, + "step": 476 + }, + { + "epoch": 0.06, + "learning_rate": 9.969724735496546e-06, + "loss": 0.5166, + "step": 477 + }, + { + "epoch": 0.06, + "learning_rate": 9.969485176573295e-06, + "loss": 0.5264, + "step": 478 + }, + { + "epoch": 0.06, + "learning_rate": 9.969244676503929e-06, + "loss": 0.5045, + "step": 479 + }, + { + "epoch": 0.06, + "learning_rate": 9.96900323533399e-06, + "loss": 0.5258, + "step": 480 + }, + { + "epoch": 0.06, + "learning_rate": 9.96876085310921e-06, + "loss": 0.5178, + "step": 481 + }, + { + "epoch": 0.06, + "learning_rate": 9.96851752987549e-06, + "loss": 0.5044, + "step": 482 + }, + { + "epoch": 0.06, + "learning_rate": 9.96827326567891e-06, + "loss": 0.5375, + "step": 483 + }, + { + "epoch": 0.07, + "learning_rate": 9.968028060565732e-06, + "loss": 0.5407, + "step": 484 + }, + { + "epoch": 0.07, + "learning_rate": 9.967781914582394e-06, + "loss": 0.499, + "step": 485 + }, + { + "epoch": 0.07, + "learning_rate": 9.967534827775513e-06, + "loss": 0.5443, + "step": 486 + }, + { + "epoch": 0.07, + "learning_rate": 9.967286800191882e-06, + "loss": 0.5327, + "step": 487 + }, + { + "epoch": 0.07, + "learning_rate": 9.967037831878473e-06, + "loss": 0.5057, + "step": 488 + }, + { + "epoch": 0.07, + "learning_rate": 9.966787922882439e-06, + "loss": 0.5325, + "step": 489 + }, + { + "epoch": 0.07, + "learning_rate": 9.96653707325111e-06, + "loss": 0.5131, + "step": 490 + }, + { + "epoch": 0.07, + "learning_rate": 9.966285283031989e-06, + "loss": 0.5123, + "step": 491 + }, + { + "epoch": 0.07, + "learning_rate": 9.966032552272764e-06, + "loss": 0.5341, + "step": 492 + }, + { + "epoch": 0.07, + "learning_rate": 9.9657788810213e-06, + "loss": 0.4847, + "step": 493 + }, + { + "epoch": 0.07, + "learning_rate": 9.965524269325635e-06, + "loss": 0.4996, + "step": 494 + }, + { + "epoch": 0.07, + "learning_rate": 9.965268717233991e-06, + "loss": 0.5178, + "step": 495 + }, + { + "epoch": 0.07, + "learning_rate": 9.965012224794765e-06, + "loss": 0.5019, + "step": 496 + }, + { + "epoch": 0.07, + "learning_rate": 9.964754792056534e-06, + "loss": 0.5488, + "step": 497 + }, + { + "epoch": 0.07, + "learning_rate": 9.96449641906805e-06, + "loss": 0.4908, + "step": 498 + }, + { + "epoch": 0.07, + "learning_rate": 9.964237105878246e-06, + "loss": 0.5032, + "step": 499 + }, + { + "epoch": 0.07, + "learning_rate": 9.96397685253623e-06, + "loss": 0.5092, + "step": 500 + }, + { + "epoch": 0.07, + "learning_rate": 9.963715659091293e-06, + "loss": 0.5459, + "step": 501 + }, + { + "epoch": 0.07, + "learning_rate": 9.9634535255929e-06, + "loss": 0.5058, + "step": 502 + }, + { + "epoch": 0.07, + "learning_rate": 9.963190452090697e-06, + "loss": 0.5317, + "step": 503 + }, + { + "epoch": 0.07, + "learning_rate": 9.962926438634501e-06, + "loss": 0.5479, + "step": 504 + }, + { + "epoch": 0.07, + "learning_rate": 9.962661485274319e-06, + "loss": 0.4985, + "step": 505 + }, + { + "epoch": 0.07, + "learning_rate": 9.962395592060324e-06, + "loss": 0.5065, + "step": 506 + }, + { + "epoch": 0.07, + "learning_rate": 9.962128759042876e-06, + "loss": 0.538, + "step": 507 + }, + { + "epoch": 0.07, + "learning_rate": 9.961860986272505e-06, + "loss": 0.5285, + "step": 508 + }, + { + "epoch": 0.07, + "learning_rate": 9.961592273799925e-06, + "loss": 0.5098, + "step": 509 + }, + { + "epoch": 0.07, + "learning_rate": 9.961322621676026e-06, + "loss": 0.5357, + "step": 510 + }, + { + "epoch": 0.07, + "learning_rate": 9.961052029951878e-06, + "loss": 0.5131, + "step": 511 + }, + { + "epoch": 0.07, + "learning_rate": 9.960780498678726e-06, + "loss": 0.5482, + "step": 512 + }, + { + "epoch": 0.07, + "learning_rate": 9.960508027907993e-06, + "loss": 0.4984, + "step": 513 + }, + { + "epoch": 0.07, + "learning_rate": 9.96023461769128e-06, + "loss": 0.4993, + "step": 514 + }, + { + "epoch": 0.07, + "learning_rate": 9.959960268080371e-06, + "loss": 0.493, + "step": 515 + }, + { + "epoch": 0.07, + "learning_rate": 9.959684979127217e-06, + "loss": 0.5378, + "step": 516 + }, + { + "epoch": 0.07, + "learning_rate": 9.95940875088396e-06, + "loss": 0.5046, + "step": 517 + }, + { + "epoch": 0.07, + "learning_rate": 9.959131583402912e-06, + "loss": 0.5376, + "step": 518 + }, + { + "epoch": 0.07, + "learning_rate": 9.958853476736562e-06, + "loss": 0.5235, + "step": 519 + }, + { + "epoch": 0.07, + "learning_rate": 9.95857443093758e-06, + "loss": 0.5329, + "step": 520 + }, + { + "epoch": 0.07, + "learning_rate": 9.958294446058815e-06, + "loss": 0.4949, + "step": 521 + }, + { + "epoch": 0.07, + "learning_rate": 9.95801352215329e-06, + "loss": 0.5334, + "step": 522 + }, + { + "epoch": 0.07, + "learning_rate": 9.957731659274208e-06, + "loss": 0.531, + "step": 523 + }, + { + "epoch": 0.07, + "learning_rate": 9.957448857474951e-06, + "loss": 0.5397, + "step": 524 + }, + { + "epoch": 0.07, + "learning_rate": 9.957165116809077e-06, + "loss": 0.5148, + "step": 525 + }, + { + "epoch": 0.07, + "learning_rate": 9.95688043733032e-06, + "loss": 0.5291, + "step": 526 + }, + { + "epoch": 0.07, + "learning_rate": 9.956594819092597e-06, + "loss": 0.5058, + "step": 527 + }, + { + "epoch": 0.07, + "learning_rate": 9.956308262149999e-06, + "loss": 0.5094, + "step": 528 + }, + { + "epoch": 0.07, + "learning_rate": 9.956020766556793e-06, + "loss": 0.5283, + "step": 529 + }, + { + "epoch": 0.07, + "learning_rate": 9.955732332367429e-06, + "loss": 0.5169, + "step": 530 + }, + { + "epoch": 0.07, + "learning_rate": 9.955442959636533e-06, + "loss": 0.5472, + "step": 531 + }, + { + "epoch": 0.07, + "learning_rate": 9.955152648418906e-06, + "loss": 0.4867, + "step": 532 + }, + { + "epoch": 0.07, + "learning_rate": 9.954861398769529e-06, + "loss": 0.4893, + "step": 533 + }, + { + "epoch": 0.07, + "learning_rate": 9.95456921074356e-06, + "loss": 0.5062, + "step": 534 + }, + { + "epoch": 0.07, + "learning_rate": 9.954276084396337e-06, + "loss": 0.5159, + "step": 535 + }, + { + "epoch": 0.07, + "learning_rate": 9.95398201978337e-06, + "loss": 0.5357, + "step": 536 + }, + { + "epoch": 0.07, + "learning_rate": 9.953687016960355e-06, + "loss": 0.4952, + "step": 537 + }, + { + "epoch": 0.07, + "learning_rate": 9.953391075983157e-06, + "loss": 0.5074, + "step": 538 + }, + { + "epoch": 0.07, + "learning_rate": 9.953094196907825e-06, + "loss": 0.4949, + "step": 539 + }, + { + "epoch": 0.07, + "learning_rate": 9.952796379790583e-06, + "loss": 0.4908, + "step": 540 + }, + { + "epoch": 0.07, + "learning_rate": 9.952497624687834e-06, + "loss": 0.4993, + "step": 541 + }, + { + "epoch": 0.07, + "learning_rate": 9.952197931656156e-06, + "loss": 0.5058, + "step": 542 + }, + { + "epoch": 0.07, + "learning_rate": 9.951897300752306e-06, + "loss": 0.4999, + "step": 543 + }, + { + "epoch": 0.07, + "learning_rate": 9.951595732033223e-06, + "loss": 0.5341, + "step": 544 + }, + { + "epoch": 0.07, + "learning_rate": 9.951293225556016e-06, + "loss": 0.5486, + "step": 545 + }, + { + "epoch": 0.07, + "learning_rate": 9.950989781377975e-06, + "loss": 0.5262, + "step": 546 + }, + { + "epoch": 0.07, + "learning_rate": 9.95068539955657e-06, + "loss": 0.5025, + "step": 547 + }, + { + "epoch": 0.07, + "learning_rate": 9.950380080149443e-06, + "loss": 0.488, + "step": 548 + }, + { + "epoch": 0.07, + "learning_rate": 9.95007382321442e-06, + "loss": 0.5621, + "step": 549 + }, + { + "epoch": 0.07, + "learning_rate": 9.949766628809502e-06, + "loss": 0.547, + "step": 550 + }, + { + "epoch": 0.07, + "learning_rate": 9.949458496992865e-06, + "loss": 0.5227, + "step": 551 + }, + { + "epoch": 0.07, + "learning_rate": 9.949149427822865e-06, + "loss": 0.4902, + "step": 552 + }, + { + "epoch": 0.07, + "learning_rate": 9.948839421358036e-06, + "loss": 0.5035, + "step": 553 + }, + { + "epoch": 0.07, + "learning_rate": 9.948528477657086e-06, + "loss": 0.5229, + "step": 554 + }, + { + "epoch": 0.07, + "learning_rate": 9.948216596778906e-06, + "loss": 0.4994, + "step": 555 + }, + { + "epoch": 0.07, + "learning_rate": 9.947903778782561e-06, + "loss": 0.5129, + "step": 556 + }, + { + "epoch": 0.07, + "learning_rate": 9.947590023727292e-06, + "loss": 0.4664, + "step": 557 + }, + { + "epoch": 0.07, + "learning_rate": 9.947275331672522e-06, + "loss": 0.5145, + "step": 558 + }, + { + "epoch": 0.08, + "learning_rate": 9.946959702677848e-06, + "loss": 0.5224, + "step": 559 + }, + { + "epoch": 0.08, + "learning_rate": 9.946643136803046e-06, + "loss": 0.513, + "step": 560 + }, + { + "epoch": 0.08, + "learning_rate": 9.946325634108067e-06, + "loss": 0.5024, + "step": 561 + }, + { + "epoch": 0.08, + "learning_rate": 9.946007194653044e-06, + "loss": 0.4979, + "step": 562 + }, + { + "epoch": 0.08, + "learning_rate": 9.945687818498282e-06, + "loss": 0.5015, + "step": 563 + }, + { + "epoch": 0.08, + "learning_rate": 9.945367505704268e-06, + "loss": 0.4787, + "step": 564 + }, + { + "epoch": 0.08, + "learning_rate": 9.945046256331663e-06, + "loss": 0.5374, + "step": 565 + }, + { + "epoch": 0.08, + "learning_rate": 9.944724070441307e-06, + "loss": 0.5029, + "step": 566 + }, + { + "epoch": 0.08, + "learning_rate": 9.94440094809422e-06, + "loss": 0.4981, + "step": 567 + }, + { + "epoch": 0.08, + "learning_rate": 9.944076889351592e-06, + "loss": 0.5222, + "step": 568 + }, + { + "epoch": 0.08, + "learning_rate": 9.943751894274798e-06, + "loss": 0.5125, + "step": 569 + }, + { + "epoch": 0.08, + "learning_rate": 9.943425962925386e-06, + "loss": 0.5227, + "step": 570 + }, + { + "epoch": 0.08, + "learning_rate": 9.943099095365083e-06, + "loss": 0.5363, + "step": 571 + }, + { + "epoch": 0.08, + "learning_rate": 9.942771291655792e-06, + "loss": 0.5024, + "step": 572 + }, + { + "epoch": 0.08, + "learning_rate": 9.942442551859595e-06, + "loss": 0.5137, + "step": 573 + }, + { + "epoch": 0.08, + "learning_rate": 9.94211287603875e-06, + "loss": 0.5181, + "step": 574 + }, + { + "epoch": 0.08, + "learning_rate": 9.941782264255695e-06, + "loss": 0.5342, + "step": 575 + }, + { + "epoch": 0.08, + "learning_rate": 9.941450716573037e-06, + "loss": 0.4624, + "step": 576 + }, + { + "epoch": 0.08, + "learning_rate": 9.941118233053573e-06, + "loss": 0.5152, + "step": 577 + }, + { + "epoch": 0.08, + "learning_rate": 9.940784813760268e-06, + "loss": 0.4913, + "step": 578 + }, + { + "epoch": 0.08, + "learning_rate": 9.940450458756264e-06, + "loss": 0.5198, + "step": 579 + }, + { + "epoch": 0.08, + "learning_rate": 9.940115168104885e-06, + "loss": 0.5244, + "step": 580 + }, + { + "epoch": 0.08, + "learning_rate": 9.939778941869628e-06, + "loss": 0.5152, + "step": 581 + }, + { + "epoch": 0.08, + "learning_rate": 9.939441780114174e-06, + "loss": 0.5114, + "step": 582 + }, + { + "epoch": 0.08, + "learning_rate": 9.939103682902373e-06, + "loss": 0.4818, + "step": 583 + }, + { + "epoch": 0.08, + "learning_rate": 9.938764650298255e-06, + "loss": 0.5125, + "step": 584 + }, + { + "epoch": 0.08, + "learning_rate": 9.938424682366027e-06, + "loss": 0.494, + "step": 585 + }, + { + "epoch": 0.08, + "learning_rate": 9.93808377917008e-06, + "loss": 0.5464, + "step": 586 + }, + { + "epoch": 0.08, + "learning_rate": 9.937741940774968e-06, + "loss": 0.4941, + "step": 587 + }, + { + "epoch": 0.08, + "learning_rate": 9.937399167245435e-06, + "loss": 0.5267, + "step": 588 + }, + { + "epoch": 0.08, + "learning_rate": 9.937055458646395e-06, + "loss": 0.5047, + "step": 589 + }, + { + "epoch": 0.08, + "learning_rate": 9.936710815042942e-06, + "loss": 0.5058, + "step": 590 + }, + { + "epoch": 0.08, + "learning_rate": 9.936365236500347e-06, + "loss": 0.4923, + "step": 591 + }, + { + "epoch": 0.08, + "learning_rate": 9.936018723084057e-06, + "loss": 0.5195, + "step": 592 + }, + { + "epoch": 0.08, + "learning_rate": 9.935671274859695e-06, + "loss": 0.5079, + "step": 593 + }, + { + "epoch": 0.08, + "learning_rate": 9.935322891893064e-06, + "loss": 0.5195, + "step": 594 + }, + { + "epoch": 0.08, + "learning_rate": 9.934973574250142e-06, + "loss": 0.5361, + "step": 595 + }, + { + "epoch": 0.08, + "learning_rate": 9.934623321997087e-06, + "loss": 0.5023, + "step": 596 + }, + { + "epoch": 0.08, + "learning_rate": 9.934272135200227e-06, + "loss": 0.5375, + "step": 597 + }, + { + "epoch": 0.08, + "learning_rate": 9.933920013926075e-06, + "loss": 0.4938, + "step": 598 + }, + { + "epoch": 0.08, + "learning_rate": 9.933566958241315e-06, + "loss": 0.5347, + "step": 599 + }, + { + "epoch": 0.08, + "learning_rate": 9.933212968212812e-06, + "loss": 0.5231, + "step": 600 + }, + { + "epoch": 0.08, + "learning_rate": 9.932858043907607e-06, + "loss": 0.5527, + "step": 601 + }, + { + "epoch": 0.08, + "learning_rate": 9.932502185392916e-06, + "loss": 0.4958, + "step": 602 + }, + { + "epoch": 0.08, + "learning_rate": 9.932145392736134e-06, + "loss": 0.5171, + "step": 603 + }, + { + "epoch": 0.08, + "learning_rate": 9.931787666004832e-06, + "loss": 0.5085, + "step": 604 + }, + { + "epoch": 0.08, + "learning_rate": 9.931429005266756e-06, + "loss": 0.5289, + "step": 605 + }, + { + "epoch": 0.08, + "learning_rate": 9.931069410589837e-06, + "loss": 0.5378, + "step": 606 + }, + { + "epoch": 0.08, + "learning_rate": 9.93070888204217e-06, + "loss": 0.5425, + "step": 607 + }, + { + "epoch": 0.08, + "learning_rate": 9.93034741969204e-06, + "loss": 0.5164, + "step": 608 + }, + { + "epoch": 0.08, + "learning_rate": 9.929985023607895e-06, + "loss": 0.5171, + "step": 609 + }, + { + "epoch": 0.08, + "learning_rate": 9.929621693858373e-06, + "loss": 0.4822, + "step": 610 + }, + { + "epoch": 0.08, + "learning_rate": 9.929257430512282e-06, + "loss": 0.5146, + "step": 611 + }, + { + "epoch": 0.08, + "learning_rate": 9.928892233638608e-06, + "loss": 0.5573, + "step": 612 + }, + { + "epoch": 0.08, + "learning_rate": 9.928526103306514e-06, + "loss": 0.4846, + "step": 613 + }, + { + "epoch": 0.08, + "learning_rate": 9.928159039585338e-06, + "loss": 0.5056, + "step": 614 + }, + { + "epoch": 0.08, + "learning_rate": 9.927791042544599e-06, + "loss": 0.5118, + "step": 615 + }, + { + "epoch": 0.08, + "learning_rate": 9.927422112253988e-06, + "loss": 0.5032, + "step": 616 + }, + { + "epoch": 0.08, + "learning_rate": 9.927052248783376e-06, + "loss": 0.4779, + "step": 617 + }, + { + "epoch": 0.08, + "learning_rate": 9.926681452202809e-06, + "loss": 0.4934, + "step": 618 + }, + { + "epoch": 0.08, + "learning_rate": 9.92630972258251e-06, + "loss": 0.515, + "step": 619 + }, + { + "epoch": 0.08, + "learning_rate": 9.925937059992881e-06, + "loss": 0.4918, + "step": 620 + }, + { + "epoch": 0.08, + "learning_rate": 9.925563464504497e-06, + "loss": 0.4747, + "step": 621 + }, + { + "epoch": 0.08, + "learning_rate": 9.92518893618811e-06, + "loss": 0.4986, + "step": 622 + }, + { + "epoch": 0.08, + "learning_rate": 9.924813475114654e-06, + "loss": 0.5245, + "step": 623 + }, + { + "epoch": 0.08, + "learning_rate": 9.924437081355232e-06, + "loss": 0.4706, + "step": 624 + }, + { + "epoch": 0.08, + "learning_rate": 9.924059754981128e-06, + "loss": 0.5001, + "step": 625 + }, + { + "epoch": 0.08, + "learning_rate": 9.923681496063805e-06, + "loss": 0.5214, + "step": 626 + }, + { + "epoch": 0.08, + "learning_rate": 9.923302304674896e-06, + "loss": 0.5429, + "step": 627 + }, + { + "epoch": 0.08, + "learning_rate": 9.922922180886217e-06, + "loss": 0.5182, + "step": 628 + }, + { + "epoch": 0.08, + "learning_rate": 9.922541124769753e-06, + "loss": 0.5447, + "step": 629 + }, + { + "epoch": 0.08, + "learning_rate": 9.922159136397677e-06, + "loss": 0.5015, + "step": 630 + }, + { + "epoch": 0.08, + "learning_rate": 9.921776215842326e-06, + "loss": 0.5031, + "step": 631 + }, + { + "epoch": 0.08, + "learning_rate": 9.921392363176223e-06, + "loss": 0.4941, + "step": 632 + }, + { + "epoch": 0.09, + "learning_rate": 9.921007578472064e-06, + "loss": 0.5202, + "step": 633 + }, + { + "epoch": 0.09, + "learning_rate": 9.920621861802719e-06, + "loss": 0.5064, + "step": 634 + }, + { + "epoch": 0.09, + "learning_rate": 9.920235213241238e-06, + "loss": 0.5197, + "step": 635 + }, + { + "epoch": 0.09, + "learning_rate": 9.91984763286085e-06, + "loss": 0.4909, + "step": 636 + }, + { + "epoch": 0.09, + "learning_rate": 9.919459120734948e-06, + "loss": 0.5184, + "step": 637 + }, + { + "epoch": 0.09, + "learning_rate": 9.91906967693712e-06, + "loss": 0.5188, + "step": 638 + }, + { + "epoch": 0.09, + "learning_rate": 9.918679301541115e-06, + "loss": 0.483, + "step": 639 + }, + { + "epoch": 0.09, + "learning_rate": 9.918287994620868e-06, + "loss": 0.4883, + "step": 640 + }, + { + "epoch": 0.09, + "learning_rate": 9.917895756250484e-06, + "loss": 0.5051, + "step": 641 + }, + { + "epoch": 0.09, + "learning_rate": 9.917502586504246e-06, + "loss": 0.4994, + "step": 642 + }, + { + "epoch": 0.09, + "learning_rate": 9.917108485456619e-06, + "loss": 0.4958, + "step": 643 + }, + { + "epoch": 0.09, + "learning_rate": 9.916713453182236e-06, + "loss": 0.5155, + "step": 644 + }, + { + "epoch": 0.09, + "learning_rate": 9.91631748975591e-06, + "loss": 0.4985, + "step": 645 + }, + { + "epoch": 0.09, + "learning_rate": 9.915920595252635e-06, + "loss": 0.5344, + "step": 646 + }, + { + "epoch": 0.09, + "learning_rate": 9.915522769747573e-06, + "loss": 0.4986, + "step": 647 + }, + { + "epoch": 0.09, + "learning_rate": 9.915124013316066e-06, + "loss": 0.5052, + "step": 648 + }, + { + "epoch": 0.09, + "learning_rate": 9.914724326033633e-06, + "loss": 0.5259, + "step": 649 + }, + { + "epoch": 0.09, + "learning_rate": 9.91432370797597e-06, + "loss": 0.4855, + "step": 650 + }, + { + "epoch": 0.09, + "learning_rate": 9.913922159218947e-06, + "loss": 0.5064, + "step": 651 + }, + { + "epoch": 0.09, + "learning_rate": 9.913519679838613e-06, + "loss": 0.5272, + "step": 652 + }, + { + "epoch": 0.09, + "learning_rate": 9.91311626991119e-06, + "loss": 0.5228, + "step": 653 + }, + { + "epoch": 0.09, + "learning_rate": 9.912711929513076e-06, + "loss": 0.5068, + "step": 654 + }, + { + "epoch": 0.09, + "learning_rate": 9.912306658720851e-06, + "loss": 0.5504, + "step": 655 + }, + { + "epoch": 0.09, + "learning_rate": 9.911900457611265e-06, + "loss": 0.5058, + "step": 656 + }, + { + "epoch": 0.09, + "learning_rate": 9.911493326261246e-06, + "loss": 0.523, + "step": 657 + }, + { + "epoch": 0.09, + "learning_rate": 9.9110852647479e-06, + "loss": 0.5336, + "step": 658 + }, + { + "epoch": 0.09, + "learning_rate": 9.910676273148507e-06, + "loss": 0.5218, + "step": 659 + }, + { + "epoch": 0.09, + "learning_rate": 9.910266351540524e-06, + "loss": 0.5028, + "step": 660 + }, + { + "epoch": 0.09, + "learning_rate": 9.909855500001584e-06, + "loss": 0.5057, + "step": 661 + }, + { + "epoch": 0.09, + "learning_rate": 9.909443718609494e-06, + "loss": 0.512, + "step": 662 + }, + { + "epoch": 0.09, + "learning_rate": 9.909031007442244e-06, + "loss": 0.5261, + "step": 663 + }, + { + "epoch": 0.09, + "learning_rate": 9.908617366577992e-06, + "loss": 0.5041, + "step": 664 + }, + { + "epoch": 0.09, + "learning_rate": 9.908202796095076e-06, + "loss": 0.4613, + "step": 665 + }, + { + "epoch": 0.09, + "learning_rate": 9.90778729607201e-06, + "loss": 0.5138, + "step": 666 + }, + { + "epoch": 0.09, + "learning_rate": 9.90737086658748e-06, + "loss": 0.5189, + "step": 667 + }, + { + "epoch": 0.09, + "learning_rate": 9.906953507720358e-06, + "loss": 0.4945, + "step": 668 + }, + { + "epoch": 0.09, + "learning_rate": 9.90653521954968e-06, + "loss": 0.5356, + "step": 669 + }, + { + "epoch": 0.09, + "learning_rate": 9.906116002154666e-06, + "loss": 0.4662, + "step": 670 + }, + { + "epoch": 0.09, + "learning_rate": 9.90569585561471e-06, + "loss": 0.4747, + "step": 671 + }, + { + "epoch": 0.09, + "learning_rate": 9.905274780009379e-06, + "loss": 0.5253, + "step": 672 + }, + { + "epoch": 0.09, + "learning_rate": 9.90485277541842e-06, + "loss": 0.5274, + "step": 673 + }, + { + "epoch": 0.09, + "learning_rate": 9.904429841921755e-06, + "loss": 0.4961, + "step": 674 + }, + { + "epoch": 0.09, + "learning_rate": 9.904005979599481e-06, + "loss": 0.5098, + "step": 675 + }, + { + "epoch": 0.09, + "learning_rate": 9.903581188531868e-06, + "loss": 0.5377, + "step": 676 + }, + { + "epoch": 0.09, + "learning_rate": 9.90315546879937e-06, + "loss": 0.5238, + "step": 677 + }, + { + "epoch": 0.09, + "learning_rate": 9.90272882048261e-06, + "loss": 0.51, + "step": 678 + }, + { + "epoch": 0.09, + "learning_rate": 9.902301243662386e-06, + "loss": 0.5004, + "step": 679 + }, + { + "epoch": 0.09, + "learning_rate": 9.90187273841968e-06, + "loss": 0.4935, + "step": 680 + }, + { + "epoch": 0.09, + "learning_rate": 9.90144330483564e-06, + "loss": 0.501, + "step": 681 + }, + { + "epoch": 0.09, + "learning_rate": 9.901012942991597e-06, + "loss": 0.5263, + "step": 682 + }, + { + "epoch": 0.09, + "learning_rate": 9.900581652969055e-06, + "loss": 0.5395, + "step": 683 + }, + { + "epoch": 0.09, + "learning_rate": 9.90014943484969e-06, + "loss": 0.5232, + "step": 684 + }, + { + "epoch": 0.09, + "learning_rate": 9.899716288715363e-06, + "loss": 0.5417, + "step": 685 + }, + { + "epoch": 0.09, + "learning_rate": 9.8992822146481e-06, + "loss": 0.5335, + "step": 686 + }, + { + "epoch": 0.09, + "learning_rate": 9.898847212730113e-06, + "loss": 0.5264, + "step": 687 + }, + { + "epoch": 0.09, + "learning_rate": 9.898411283043784e-06, + "loss": 0.5083, + "step": 688 + }, + { + "epoch": 0.09, + "learning_rate": 9.89797442567167e-06, + "loss": 0.5087, + "step": 689 + }, + { + "epoch": 0.09, + "learning_rate": 9.897536640696505e-06, + "loss": 0.5747, + "step": 690 + }, + { + "epoch": 0.09, + "learning_rate": 9.8970979282012e-06, + "loss": 0.4871, + "step": 691 + }, + { + "epoch": 0.09, + "learning_rate": 9.89665828826884e-06, + "loss": 0.5121, + "step": 692 + }, + { + "epoch": 0.09, + "learning_rate": 9.896217720982686e-06, + "loss": 0.5111, + "step": 693 + }, + { + "epoch": 0.09, + "learning_rate": 9.895776226426176e-06, + "loss": 0.4903, + "step": 694 + }, + { + "epoch": 0.09, + "learning_rate": 9.895333804682923e-06, + "loss": 0.53, + "step": 695 + }, + { + "epoch": 0.09, + "learning_rate": 9.894890455836712e-06, + "loss": 0.4994, + "step": 696 + }, + { + "epoch": 0.09, + "learning_rate": 9.894446179971508e-06, + "loss": 0.488, + "step": 697 + }, + { + "epoch": 0.09, + "learning_rate": 9.894000977171452e-06, + "loss": 0.4932, + "step": 698 + }, + { + "epoch": 0.09, + "learning_rate": 9.893554847520857e-06, + "loss": 0.5332, + "step": 699 + }, + { + "epoch": 0.09, + "learning_rate": 9.893107791104213e-06, + "loss": 0.525, + "step": 700 + }, + { + "epoch": 0.09, + "learning_rate": 9.892659808006188e-06, + "loss": 0.5148, + "step": 701 + }, + { + "epoch": 0.09, + "learning_rate": 9.892210898311621e-06, + "loss": 0.4877, + "step": 702 + }, + { + "epoch": 0.09, + "learning_rate": 9.891761062105529e-06, + "loss": 0.5439, + "step": 703 + }, + { + "epoch": 0.09, + "learning_rate": 9.891310299473105e-06, + "loss": 0.5252, + "step": 704 + }, + { + "epoch": 0.09, + "learning_rate": 9.890858610499717e-06, + "loss": 0.4776, + "step": 705 + }, + { + "epoch": 0.09, + "learning_rate": 9.890405995270907e-06, + "loss": 0.5307, + "step": 706 + }, + { + "epoch": 0.09, + "learning_rate": 9.889952453872395e-06, + "loss": 0.4785, + "step": 707 + }, + { + "epoch": 0.1, + "learning_rate": 9.889497986390073e-06, + "loss": 0.4928, + "step": 708 + }, + { + "epoch": 0.1, + "learning_rate": 9.889042592910013e-06, + "loss": 0.5162, + "step": 709 + }, + { + "epoch": 0.1, + "learning_rate": 9.888586273518457e-06, + "loss": 0.4819, + "step": 710 + }, + { + "epoch": 0.1, + "learning_rate": 9.888129028301828e-06, + "loss": 0.4947, + "step": 711 + }, + { + "epoch": 0.1, + "learning_rate": 9.887670857346717e-06, + "loss": 0.5082, + "step": 712 + }, + { + "epoch": 0.1, + "learning_rate": 9.887211760739898e-06, + "loss": 0.5169, + "step": 713 + }, + { + "epoch": 0.1, + "learning_rate": 9.886751738568318e-06, + "loss": 0.523, + "step": 714 + }, + { + "epoch": 0.1, + "learning_rate": 9.886290790919095e-06, + "loss": 0.4946, + "step": 715 + }, + { + "epoch": 0.1, + "learning_rate": 9.88582891787953e-06, + "loss": 0.5083, + "step": 716 + }, + { + "epoch": 0.1, + "learning_rate": 9.885366119537088e-06, + "loss": 0.5025, + "step": 717 + }, + { + "epoch": 0.1, + "learning_rate": 9.884902395979424e-06, + "loss": 0.5152, + "step": 718 + }, + { + "epoch": 0.1, + "learning_rate": 9.884437747294353e-06, + "loss": 0.5119, + "step": 719 + }, + { + "epoch": 0.1, + "learning_rate": 9.883972173569877e-06, + "loss": 0.4882, + "step": 720 + }, + { + "epoch": 0.1, + "learning_rate": 9.88350567489417e-06, + "loss": 0.5281, + "step": 721 + }, + { + "epoch": 0.1, + "learning_rate": 9.883038251355576e-06, + "loss": 0.4761, + "step": 722 + }, + { + "epoch": 0.1, + "learning_rate": 9.88256990304262e-06, + "loss": 0.5102, + "step": 723 + }, + { + "epoch": 0.1, + "learning_rate": 9.882100630044e-06, + "loss": 0.4869, + "step": 724 + }, + { + "epoch": 0.1, + "learning_rate": 9.881630432448588e-06, + "loss": 0.4885, + "step": 725 + }, + { + "epoch": 0.1, + "learning_rate": 9.881159310345434e-06, + "loss": 0.5403, + "step": 726 + }, + { + "epoch": 0.1, + "learning_rate": 9.880687263823761e-06, + "loss": 0.5083, + "step": 727 + }, + { + "epoch": 0.1, + "learning_rate": 9.880214292972968e-06, + "loss": 0.4703, + "step": 728 + }, + { + "epoch": 0.1, + "learning_rate": 9.879740397882626e-06, + "loss": 0.4891, + "step": 729 + }, + { + "epoch": 0.1, + "learning_rate": 9.879265578642489e-06, + "loss": 0.5203, + "step": 730 + }, + { + "epoch": 0.1, + "learning_rate": 9.878789835342476e-06, + "loss": 0.5182, + "step": 731 + }, + { + "epoch": 0.1, + "learning_rate": 9.878313168072686e-06, + "loss": 0.524, + "step": 732 + }, + { + "epoch": 0.1, + "learning_rate": 9.877835576923393e-06, + "loss": 0.5008, + "step": 733 + }, + { + "epoch": 0.1, + "learning_rate": 9.877357061985048e-06, + "loss": 0.52, + "step": 734 + }, + { + "epoch": 0.1, + "learning_rate": 9.876877623348272e-06, + "loss": 0.5059, + "step": 735 + }, + { + "epoch": 0.1, + "learning_rate": 9.876397261103865e-06, + "loss": 0.5186, + "step": 736 + }, + { + "epoch": 0.1, + "learning_rate": 9.8759159753428e-06, + "loss": 0.5283, + "step": 737 + }, + { + "epoch": 0.1, + "learning_rate": 9.875433766156224e-06, + "loss": 0.5195, + "step": 738 + }, + { + "epoch": 0.1, + "learning_rate": 9.87495063363546e-06, + "loss": 0.5105, + "step": 739 + }, + { + "epoch": 0.1, + "learning_rate": 9.874466577872011e-06, + "loss": 0.5398, + "step": 740 + }, + { + "epoch": 0.1, + "learning_rate": 9.873981598957543e-06, + "loss": 0.483, + "step": 741 + }, + { + "epoch": 0.1, + "learning_rate": 9.87349569698391e-06, + "loss": 0.4986, + "step": 742 + }, + { + "epoch": 0.1, + "learning_rate": 9.87300887204313e-06, + "loss": 0.4893, + "step": 743 + }, + { + "epoch": 0.1, + "learning_rate": 9.8725211242274e-06, + "loss": 0.5135, + "step": 744 + }, + { + "epoch": 0.1, + "learning_rate": 9.872032453629097e-06, + "loss": 0.4967, + "step": 745 + }, + { + "epoch": 0.1, + "learning_rate": 9.871542860340763e-06, + "loss": 0.4964, + "step": 746 + }, + { + "epoch": 0.1, + "learning_rate": 9.871052344455123e-06, + "loss": 0.4996, + "step": 747 + }, + { + "epoch": 0.1, + "learning_rate": 9.870560906065073e-06, + "loss": 0.5086, + "step": 748 + }, + { + "epoch": 0.1, + "learning_rate": 9.870068545263682e-06, + "loss": 0.5079, + "step": 749 + }, + { + "epoch": 0.1, + "learning_rate": 9.869575262144196e-06, + "loss": 0.5213, + "step": 750 + }, + { + "epoch": 0.1, + "learning_rate": 9.869081056800035e-06, + "loss": 0.5293, + "step": 751 + }, + { + "epoch": 0.1, + "learning_rate": 9.868585929324798e-06, + "loss": 0.5352, + "step": 752 + }, + { + "epoch": 0.1, + "learning_rate": 9.868089879812251e-06, + "loss": 0.5459, + "step": 753 + }, + { + "epoch": 0.1, + "learning_rate": 9.86759290835634e-06, + "loss": 0.5417, + "step": 754 + }, + { + "epoch": 0.1, + "learning_rate": 9.867095015051183e-06, + "loss": 0.5246, + "step": 755 + }, + { + "epoch": 0.1, + "learning_rate": 9.866596199991074e-06, + "loss": 0.5201, + "step": 756 + }, + { + "epoch": 0.1, + "learning_rate": 9.866096463270482e-06, + "loss": 0.5278, + "step": 757 + }, + { + "epoch": 0.1, + "learning_rate": 9.865595804984047e-06, + "loss": 0.539, + "step": 758 + }, + { + "epoch": 0.1, + "learning_rate": 9.865094225226588e-06, + "loss": 0.5061, + "step": 759 + }, + { + "epoch": 0.1, + "learning_rate": 9.864591724093097e-06, + "loss": 0.5177, + "step": 760 + }, + { + "epoch": 0.1, + "learning_rate": 9.864088301678741e-06, + "loss": 0.5272, + "step": 761 + }, + { + "epoch": 0.1, + "learning_rate": 9.863583958078858e-06, + "loss": 0.5178, + "step": 762 + }, + { + "epoch": 0.1, + "learning_rate": 9.863078693388965e-06, + "loss": 0.5187, + "step": 763 + }, + { + "epoch": 0.1, + "learning_rate": 9.862572507704751e-06, + "loss": 0.5095, + "step": 764 + }, + { + "epoch": 0.1, + "learning_rate": 9.86206540112208e-06, + "loss": 0.5172, + "step": 765 + }, + { + "epoch": 0.1, + "learning_rate": 9.861557373736992e-06, + "loss": 0.4867, + "step": 766 + }, + { + "epoch": 0.1, + "learning_rate": 9.861048425645697e-06, + "loss": 0.5014, + "step": 767 + }, + { + "epoch": 0.1, + "learning_rate": 9.860538556944584e-06, + "loss": 0.502, + "step": 768 + }, + { + "epoch": 0.1, + "learning_rate": 9.860027767730214e-06, + "loss": 0.5399, + "step": 769 + }, + { + "epoch": 0.1, + "learning_rate": 9.859516058099323e-06, + "loss": 0.534, + "step": 770 + }, + { + "epoch": 0.1, + "learning_rate": 9.85900342814882e-06, + "loss": 0.5193, + "step": 771 + }, + { + "epoch": 0.1, + "learning_rate": 9.858489877975791e-06, + "loss": 0.5313, + "step": 772 + }, + { + "epoch": 0.1, + "learning_rate": 9.857975407677494e-06, + "loss": 0.5189, + "step": 773 + }, + { + "epoch": 0.1, + "learning_rate": 9.85746001735136e-06, + "loss": 0.4946, + "step": 774 + }, + { + "epoch": 0.1, + "learning_rate": 9.856943707095003e-06, + "loss": 0.5142, + "step": 775 + }, + { + "epoch": 0.1, + "learning_rate": 9.856426477006196e-06, + "loss": 0.496, + "step": 776 + }, + { + "epoch": 0.1, + "learning_rate": 9.8559083271829e-06, + "loss": 0.4958, + "step": 777 + }, + { + "epoch": 0.1, + "learning_rate": 9.855389257723242e-06, + "loss": 0.545, + "step": 778 + }, + { + "epoch": 0.1, + "learning_rate": 9.854869268725529e-06, + "loss": 0.4867, + "step": 779 + }, + { + "epoch": 0.1, + "learning_rate": 9.854348360288237e-06, + "loss": 0.5289, + "step": 780 + }, + { + "epoch": 0.1, + "learning_rate": 9.853826532510017e-06, + "loss": 0.4768, + "step": 781 + }, + { + "epoch": 0.11, + "learning_rate": 9.8533037854897e-06, + "loss": 0.4774, + "step": 782 + }, + { + "epoch": 0.11, + "learning_rate": 9.85278011932628e-06, + "loss": 0.5121, + "step": 783 + }, + { + "epoch": 0.11, + "learning_rate": 9.852255534118935e-06, + "loss": 0.4759, + "step": 784 + }, + { + "epoch": 0.11, + "learning_rate": 9.851730029967016e-06, + "loss": 0.4902, + "step": 785 + }, + { + "epoch": 0.11, + "learning_rate": 9.851203606970042e-06, + "loss": 0.5193, + "step": 786 + }, + { + "epoch": 0.11, + "learning_rate": 9.85067626522771e-06, + "loss": 0.5132, + "step": 787 + }, + { + "epoch": 0.11, + "learning_rate": 9.85014800483989e-06, + "loss": 0.5383, + "step": 788 + }, + { + "epoch": 0.11, + "learning_rate": 9.849618825906632e-06, + "loss": 0.4957, + "step": 789 + }, + { + "epoch": 0.11, + "learning_rate": 9.84908872852815e-06, + "loss": 0.5023, + "step": 790 + }, + { + "epoch": 0.11, + "learning_rate": 9.848557712804834e-06, + "loss": 0.5024, + "step": 791 + }, + { + "epoch": 0.11, + "learning_rate": 9.848025778837255e-06, + "loss": 0.5074, + "step": 792 + }, + { + "epoch": 0.11, + "learning_rate": 9.847492926726152e-06, + "loss": 0.5119, + "step": 793 + }, + { + "epoch": 0.11, + "learning_rate": 9.84695915657244e-06, + "loss": 0.5058, + "step": 794 + }, + { + "epoch": 0.11, + "learning_rate": 9.846424468477204e-06, + "loss": 0.4931, + "step": 795 + }, + { + "epoch": 0.11, + "learning_rate": 9.845888862541711e-06, + "loss": 0.5192, + "step": 796 + }, + { + "epoch": 0.11, + "learning_rate": 9.845352338867393e-06, + "loss": 0.4897, + "step": 797 + }, + { + "epoch": 0.11, + "learning_rate": 9.844814897555858e-06, + "loss": 0.5172, + "step": 798 + }, + { + "epoch": 0.11, + "learning_rate": 9.844276538708895e-06, + "loss": 0.5129, + "step": 799 + }, + { + "epoch": 0.11, + "learning_rate": 9.843737262428457e-06, + "loss": 0.5017, + "step": 800 + }, + { + "epoch": 0.11, + "learning_rate": 9.843197068816674e-06, + "loss": 0.4863, + "step": 801 + }, + { + "epoch": 0.11, + "learning_rate": 9.842655957975856e-06, + "loss": 0.5389, + "step": 802 + }, + { + "epoch": 0.11, + "learning_rate": 9.842113930008473e-06, + "loss": 0.5013, + "step": 803 + }, + { + "epoch": 0.11, + "learning_rate": 9.841570985017183e-06, + "loss": 0.5081, + "step": 804 + }, + { + "epoch": 0.11, + "learning_rate": 9.841027123104812e-06, + "loss": 0.544, + "step": 805 + }, + { + "epoch": 0.11, + "learning_rate": 9.840482344374356e-06, + "loss": 0.4725, + "step": 806 + }, + { + "epoch": 0.11, + "learning_rate": 9.83993664892899e-06, + "loss": 0.5026, + "step": 807 + }, + { + "epoch": 0.11, + "learning_rate": 9.839390036872061e-06, + "loss": 0.5332, + "step": 808 + }, + { + "epoch": 0.11, + "learning_rate": 9.838842508307085e-06, + "loss": 0.5197, + "step": 809 + }, + { + "epoch": 0.11, + "learning_rate": 9.838294063337762e-06, + "loss": 0.5183, + "step": 810 + }, + { + "epoch": 0.11, + "learning_rate": 9.837744702067955e-06, + "loss": 0.51, + "step": 811 + }, + { + "epoch": 0.11, + "learning_rate": 9.837194424601706e-06, + "loss": 0.5071, + "step": 812 + }, + { + "epoch": 0.11, + "learning_rate": 9.83664323104323e-06, + "loss": 0.5231, + "step": 813 + }, + { + "epoch": 0.11, + "learning_rate": 9.836091121496913e-06, + "loss": 0.5199, + "step": 814 + }, + { + "epoch": 0.11, + "learning_rate": 9.835538096067317e-06, + "loss": 0.5043, + "step": 815 + }, + { + "epoch": 0.11, + "learning_rate": 9.83498415485918e-06, + "loss": 0.4934, + "step": 816 + }, + { + "epoch": 0.11, + "learning_rate": 9.834429297977403e-06, + "loss": 0.4682, + "step": 817 + }, + { + "epoch": 0.11, + "learning_rate": 9.833873525527074e-06, + "loss": 0.5061, + "step": 818 + }, + { + "epoch": 0.11, + "learning_rate": 9.833316837613446e-06, + "loss": 0.5207, + "step": 819 + }, + { + "epoch": 0.11, + "learning_rate": 9.832759234341946e-06, + "loss": 0.5156, + "step": 820 + }, + { + "epoch": 0.11, + "learning_rate": 9.83220071581818e-06, + "loss": 0.4773, + "step": 821 + }, + { + "epoch": 0.11, + "learning_rate": 9.831641282147916e-06, + "loss": 0.5097, + "step": 822 + }, + { + "epoch": 0.11, + "learning_rate": 9.83108093343711e-06, + "loss": 0.5232, + "step": 823 + }, + { + "epoch": 0.11, + "learning_rate": 9.830519669791878e-06, + "loss": 0.4836, + "step": 824 + }, + { + "epoch": 0.11, + "learning_rate": 9.829957491318517e-06, + "loss": 0.5132, + "step": 825 + }, + { + "epoch": 0.11, + "learning_rate": 9.829394398123495e-06, + "loss": 0.4819, + "step": 826 + }, + { + "epoch": 0.11, + "learning_rate": 9.828830390313455e-06, + "loss": 0.4931, + "step": 827 + }, + { + "epoch": 0.11, + "learning_rate": 9.828265467995208e-06, + "loss": 0.4806, + "step": 828 + }, + { + "epoch": 0.11, + "learning_rate": 9.827699631275744e-06, + "loss": 0.4678, + "step": 829 + }, + { + "epoch": 0.11, + "learning_rate": 9.827132880262226e-06, + "loss": 0.5295, + "step": 830 + }, + { + "epoch": 0.11, + "learning_rate": 9.826565215061985e-06, + "loss": 0.5298, + "step": 831 + }, + { + "epoch": 0.11, + "learning_rate": 9.82599663578253e-06, + "loss": 0.5174, + "step": 832 + }, + { + "epoch": 0.11, + "learning_rate": 9.82542714253154e-06, + "loss": 0.5134, + "step": 833 + }, + { + "epoch": 0.11, + "learning_rate": 9.82485673541687e-06, + "loss": 0.4966, + "step": 834 + }, + { + "epoch": 0.11, + "learning_rate": 9.824285414546546e-06, + "loss": 0.465, + "step": 835 + }, + { + "epoch": 0.11, + "learning_rate": 9.823713180028768e-06, + "loss": 0.4909, + "step": 836 + }, + { + "epoch": 0.11, + "learning_rate": 9.823140031971908e-06, + "loss": 0.4905, + "step": 837 + }, + { + "epoch": 0.11, + "learning_rate": 9.822565970484512e-06, + "loss": 0.5268, + "step": 838 + }, + { + "epoch": 0.11, + "learning_rate": 9.821990995675296e-06, + "loss": 0.5169, + "step": 839 + }, + { + "epoch": 0.11, + "learning_rate": 9.821415107653158e-06, + "loss": 0.5031, + "step": 840 + }, + { + "epoch": 0.11, + "learning_rate": 9.820838306527156e-06, + "loss": 0.5081, + "step": 841 + }, + { + "epoch": 0.11, + "learning_rate": 9.820260592406533e-06, + "loss": 0.4645, + "step": 842 + }, + { + "epoch": 0.11, + "learning_rate": 9.819681965400694e-06, + "loss": 0.5078, + "step": 843 + }, + { + "epoch": 0.11, + "learning_rate": 9.819102425619225e-06, + "loss": 0.5093, + "step": 844 + }, + { + "epoch": 0.11, + "learning_rate": 9.818521973171884e-06, + "loss": 0.5132, + "step": 845 + }, + { + "epoch": 0.11, + "learning_rate": 9.817940608168596e-06, + "loss": 0.4692, + "step": 846 + }, + { + "epoch": 0.11, + "learning_rate": 9.817358330719466e-06, + "loss": 0.5099, + "step": 847 + }, + { + "epoch": 0.11, + "learning_rate": 9.816775140934768e-06, + "loss": 0.4818, + "step": 848 + }, + { + "epoch": 0.11, + "learning_rate": 9.816191038924948e-06, + "loss": 0.5028, + "step": 849 + }, + { + "epoch": 0.11, + "learning_rate": 9.815606024800628e-06, + "loss": 0.4981, + "step": 850 + }, + { + "epoch": 0.11, + "learning_rate": 9.815020098672599e-06, + "loss": 0.4918, + "step": 851 + }, + { + "epoch": 0.11, + "learning_rate": 9.814433260651829e-06, + "loss": 0.4952, + "step": 852 + }, + { + "epoch": 0.11, + "learning_rate": 9.813845510849454e-06, + "loss": 0.4947, + "step": 853 + }, + { + "epoch": 0.11, + "learning_rate": 9.813256849376787e-06, + "loss": 0.521, + "step": 854 + }, + { + "epoch": 0.11, + "learning_rate": 9.812667276345312e-06, + "loss": 0.5001, + "step": 855 + }, + { + "epoch": 0.12, + "learning_rate": 9.81207679186668e-06, + "loss": 0.5326, + "step": 856 + }, + { + "epoch": 0.12, + "learning_rate": 9.811485396052726e-06, + "loss": 0.4849, + "step": 857 + }, + { + "epoch": 0.12, + "learning_rate": 9.810893089015452e-06, + "loss": 0.5002, + "step": 858 + }, + { + "epoch": 0.12, + "learning_rate": 9.810299870867027e-06, + "loss": 0.5168, + "step": 859 + }, + { + "epoch": 0.12, + "learning_rate": 9.8097057417198e-06, + "loss": 0.5214, + "step": 860 + }, + { + "epoch": 0.12, + "learning_rate": 9.809110701686291e-06, + "loss": 0.52, + "step": 861 + }, + { + "epoch": 0.12, + "learning_rate": 9.808514750879193e-06, + "loss": 0.5332, + "step": 862 + }, + { + "epoch": 0.12, + "learning_rate": 9.807917889411366e-06, + "loss": 0.4703, + "step": 863 + }, + { + "epoch": 0.12, + "learning_rate": 9.807320117395849e-06, + "loss": 0.4909, + "step": 864 + }, + { + "epoch": 0.12, + "learning_rate": 9.806721434945851e-06, + "loss": 0.5002, + "step": 865 + }, + { + "epoch": 0.12, + "learning_rate": 9.806121842174754e-06, + "loss": 0.5084, + "step": 866 + }, + { + "epoch": 0.12, + "learning_rate": 9.805521339196111e-06, + "loss": 0.5092, + "step": 867 + }, + { + "epoch": 0.12, + "learning_rate": 9.804919926123648e-06, + "loss": 0.5324, + "step": 868 + }, + { + "epoch": 0.12, + "learning_rate": 9.804317603071265e-06, + "loss": 0.5018, + "step": 869 + }, + { + "epoch": 0.12, + "learning_rate": 9.803714370153033e-06, + "loss": 0.4894, + "step": 870 + }, + { + "epoch": 0.12, + "learning_rate": 9.803110227483192e-06, + "loss": 0.5147, + "step": 871 + }, + { + "epoch": 0.12, + "learning_rate": 9.802505175176163e-06, + "loss": 0.4956, + "step": 872 + }, + { + "epoch": 0.12, + "learning_rate": 9.801899213346528e-06, + "loss": 0.4927, + "step": 873 + }, + { + "epoch": 0.12, + "learning_rate": 9.801292342109052e-06, + "loss": 0.5188, + "step": 874 + }, + { + "epoch": 0.12, + "learning_rate": 9.800684561578664e-06, + "loss": 0.4949, + "step": 875 + }, + { + "epoch": 0.12, + "learning_rate": 9.800075871870472e-06, + "loss": 0.5392, + "step": 876 + }, + { + "epoch": 0.12, + "learning_rate": 9.79946627309975e-06, + "loss": 0.499, + "step": 877 + }, + { + "epoch": 0.12, + "learning_rate": 9.798855765381945e-06, + "loss": 0.5106, + "step": 878 + }, + { + "epoch": 0.12, + "learning_rate": 9.798244348832683e-06, + "loss": 0.4977, + "step": 879 + }, + { + "epoch": 0.12, + "learning_rate": 9.797632023567753e-06, + "loss": 0.47, + "step": 880 + }, + { + "epoch": 0.12, + "learning_rate": 9.797018789703124e-06, + "loss": 0.5118, + "step": 881 + }, + { + "epoch": 0.12, + "learning_rate": 9.796404647354931e-06, + "loss": 0.5013, + "step": 882 + }, + { + "epoch": 0.12, + "learning_rate": 9.795789596639483e-06, + "loss": 0.5094, + "step": 883 + }, + { + "epoch": 0.12, + "learning_rate": 9.79517363767326e-06, + "loss": 0.4718, + "step": 884 + }, + { + "epoch": 0.12, + "learning_rate": 9.79455677057292e-06, + "loss": 0.5021, + "step": 885 + }, + { + "epoch": 0.12, + "learning_rate": 9.793938995455285e-06, + "loss": 0.5211, + "step": 886 + }, + { + "epoch": 0.12, + "learning_rate": 9.793320312437353e-06, + "loss": 0.4925, + "step": 887 + }, + { + "epoch": 0.12, + "learning_rate": 9.792700721636294e-06, + "loss": 0.5244, + "step": 888 + }, + { + "epoch": 0.12, + "learning_rate": 9.792080223169449e-06, + "loss": 0.4804, + "step": 889 + }, + { + "epoch": 0.12, + "learning_rate": 9.791458817154329e-06, + "loss": 0.5367, + "step": 890 + }, + { + "epoch": 0.12, + "learning_rate": 9.790836503708623e-06, + "loss": 0.5387, + "step": 891 + }, + { + "epoch": 0.12, + "learning_rate": 9.790213282950184e-06, + "loss": 0.476, + "step": 892 + }, + { + "epoch": 0.12, + "learning_rate": 9.789589154997043e-06, + "loss": 0.5321, + "step": 893 + }, + { + "epoch": 0.12, + "learning_rate": 9.7889641199674e-06, + "loss": 0.5061, + "step": 894 + }, + { + "epoch": 0.12, + "learning_rate": 9.788338177979626e-06, + "loss": 0.4997, + "step": 895 + }, + { + "epoch": 0.12, + "learning_rate": 9.787711329152268e-06, + "loss": 0.5257, + "step": 896 + }, + { + "epoch": 0.12, + "learning_rate": 9.787083573604039e-06, + "loss": 0.503, + "step": 897 + }, + { + "epoch": 0.12, + "learning_rate": 9.786454911453827e-06, + "loss": 0.516, + "step": 898 + }, + { + "epoch": 0.12, + "learning_rate": 9.785825342820692e-06, + "loss": 0.4924, + "step": 899 + }, + { + "epoch": 0.12, + "learning_rate": 9.785194867823867e-06, + "loss": 0.4903, + "step": 900 + }, + { + "epoch": 0.12, + "learning_rate": 9.784563486582747e-06, + "loss": 0.4989, + "step": 901 + }, + { + "epoch": 0.12, + "learning_rate": 9.783931199216916e-06, + "loss": 0.5289, + "step": 902 + }, + { + "epoch": 0.12, + "learning_rate": 9.78329800584611e-06, + "loss": 0.5052, + "step": 903 + }, + { + "epoch": 0.12, + "learning_rate": 9.782663906590255e-06, + "loss": 0.4881, + "step": 904 + }, + { + "epoch": 0.12, + "learning_rate": 9.782028901569437e-06, + "loss": 0.4898, + "step": 905 + }, + { + "epoch": 0.12, + "learning_rate": 9.781392990903915e-06, + "loss": 0.5265, + "step": 906 + }, + { + "epoch": 0.12, + "learning_rate": 9.780756174714119e-06, + "loss": 0.5119, + "step": 907 + }, + { + "epoch": 0.12, + "learning_rate": 9.780118453120659e-06, + "loss": 0.5107, + "step": 908 + }, + { + "epoch": 0.12, + "learning_rate": 9.779479826244302e-06, + "loss": 0.471, + "step": 909 + }, + { + "epoch": 0.12, + "learning_rate": 9.778840294206003e-06, + "loss": 0.4877, + "step": 910 + }, + { + "epoch": 0.12, + "learning_rate": 9.77819985712687e-06, + "loss": 0.506, + "step": 911 + }, + { + "epoch": 0.12, + "learning_rate": 9.7775585151282e-06, + "loss": 0.5197, + "step": 912 + }, + { + "epoch": 0.12, + "learning_rate": 9.776916268331452e-06, + "loss": 0.4622, + "step": 913 + }, + { + "epoch": 0.12, + "learning_rate": 9.776273116858255e-06, + "loss": 0.5049, + "step": 914 + }, + { + "epoch": 0.12, + "learning_rate": 9.775629060830416e-06, + "loss": 0.5275, + "step": 915 + }, + { + "epoch": 0.12, + "learning_rate": 9.774984100369906e-06, + "loss": 0.5267, + "step": 916 + }, + { + "epoch": 0.12, + "learning_rate": 9.774338235598875e-06, + "loss": 0.4952, + "step": 917 + }, + { + "epoch": 0.12, + "learning_rate": 9.773691466639636e-06, + "loss": 0.4894, + "step": 918 + }, + { + "epoch": 0.12, + "learning_rate": 9.773043793614678e-06, + "loss": 0.5356, + "step": 919 + }, + { + "epoch": 0.12, + "learning_rate": 9.772395216646663e-06, + "loss": 0.5209, + "step": 920 + }, + { + "epoch": 0.12, + "learning_rate": 9.77174573585842e-06, + "loss": 0.4937, + "step": 921 + }, + { + "epoch": 0.12, + "learning_rate": 9.771095351372953e-06, + "loss": 0.4759, + "step": 922 + }, + { + "epoch": 0.12, + "learning_rate": 9.770444063313432e-06, + "loss": 0.5115, + "step": 923 + }, + { + "epoch": 0.12, + "learning_rate": 9.769791871803202e-06, + "loss": 0.5202, + "step": 924 + }, + { + "epoch": 0.12, + "learning_rate": 9.76913877696578e-06, + "loss": 0.4996, + "step": 925 + }, + { + "epoch": 0.12, + "learning_rate": 9.768484778924852e-06, + "loss": 0.4991, + "step": 926 + }, + { + "epoch": 0.12, + "learning_rate": 9.767829877804273e-06, + "loss": 0.4957, + "step": 927 + }, + { + "epoch": 0.12, + "learning_rate": 9.767174073728075e-06, + "loss": 0.4943, + "step": 928 + }, + { + "epoch": 0.12, + "learning_rate": 9.766517366820456e-06, + "loss": 0.5363, + "step": 929 + }, + { + "epoch": 0.12, + "learning_rate": 9.765859757205785e-06, + "loss": 0.5222, + "step": 930 + }, + { + "epoch": 0.13, + "learning_rate": 9.765201245008604e-06, + "loss": 0.5389, + "step": 931 + }, + { + "epoch": 0.13, + "learning_rate": 9.764541830353627e-06, + "loss": 0.4983, + "step": 932 + }, + { + "epoch": 0.13, + "learning_rate": 9.763881513365735e-06, + "loss": 0.5098, + "step": 933 + }, + { + "epoch": 0.13, + "learning_rate": 9.763220294169987e-06, + "loss": 0.4775, + "step": 934 + }, + { + "epoch": 0.13, + "learning_rate": 9.7625581728916e-06, + "loss": 0.5262, + "step": 935 + }, + { + "epoch": 0.13, + "learning_rate": 9.761895149655977e-06, + "loss": 0.4805, + "step": 936 + }, + { + "epoch": 0.13, + "learning_rate": 9.76123122458868e-06, + "loss": 0.4856, + "step": 937 + }, + { + "epoch": 0.13, + "learning_rate": 9.760566397815449e-06, + "loss": 0.5082, + "step": 938 + }, + { + "epoch": 0.13, + "learning_rate": 9.759900669462193e-06, + "loss": 0.4937, + "step": 939 + }, + { + "epoch": 0.13, + "learning_rate": 9.75923403965499e-06, + "loss": 0.5165, + "step": 940 + }, + { + "epoch": 0.13, + "learning_rate": 9.758566508520088e-06, + "loss": 0.465, + "step": 941 + }, + { + "epoch": 0.13, + "learning_rate": 9.75789807618391e-06, + "loss": 0.4891, + "step": 942 + }, + { + "epoch": 0.13, + "learning_rate": 9.757228742773044e-06, + "loss": 0.5345, + "step": 943 + }, + { + "epoch": 0.13, + "learning_rate": 9.756558508414255e-06, + "loss": 0.4804, + "step": 944 + }, + { + "epoch": 0.13, + "learning_rate": 9.755887373234474e-06, + "loss": 0.5094, + "step": 945 + }, + { + "epoch": 0.13, + "learning_rate": 9.755215337360802e-06, + "loss": 0.5136, + "step": 946 + }, + { + "epoch": 0.13, + "learning_rate": 9.754542400920517e-06, + "loss": 0.5049, + "step": 947 + }, + { + "epoch": 0.13, + "learning_rate": 9.75386856404106e-06, + "loss": 0.4644, + "step": 948 + }, + { + "epoch": 0.13, + "learning_rate": 9.753193826850045e-06, + "loss": 0.5157, + "step": 949 + }, + { + "epoch": 0.13, + "learning_rate": 9.752518189475258e-06, + "loss": 0.499, + "step": 950 + }, + { + "epoch": 0.13, + "learning_rate": 9.751841652044656e-06, + "loss": 0.486, + "step": 951 + }, + { + "epoch": 0.13, + "learning_rate": 9.751164214686364e-06, + "loss": 0.5306, + "step": 952 + }, + { + "epoch": 0.13, + "learning_rate": 9.750485877528678e-06, + "loss": 0.4898, + "step": 953 + }, + { + "epoch": 0.13, + "learning_rate": 9.749806640700066e-06, + "loss": 0.4857, + "step": 954 + }, + { + "epoch": 0.13, + "learning_rate": 9.749126504329162e-06, + "loss": 0.4848, + "step": 955 + }, + { + "epoch": 0.13, + "learning_rate": 9.74844546854478e-06, + "loss": 0.4786, + "step": 956 + }, + { + "epoch": 0.13, + "learning_rate": 9.747763533475893e-06, + "loss": 0.5206, + "step": 957 + }, + { + "epoch": 0.13, + "learning_rate": 9.74708069925165e-06, + "loss": 0.5126, + "step": 958 + }, + { + "epoch": 0.13, + "learning_rate": 9.74639696600137e-06, + "loss": 0.4925, + "step": 959 + }, + { + "epoch": 0.13, + "learning_rate": 9.745712333854543e-06, + "loss": 0.5298, + "step": 960 + }, + { + "epoch": 0.13, + "learning_rate": 9.745026802940827e-06, + "loss": 0.5193, + "step": 961 + }, + { + "epoch": 0.13, + "learning_rate": 9.74434037339005e-06, + "loss": 0.4935, + "step": 962 + }, + { + "epoch": 0.13, + "learning_rate": 9.743653045332213e-06, + "loss": 0.4738, + "step": 963 + }, + { + "epoch": 0.13, + "learning_rate": 9.742964818897487e-06, + "loss": 0.4941, + "step": 964 + }, + { + "epoch": 0.13, + "learning_rate": 9.74227569421621e-06, + "loss": 0.5154, + "step": 965 + }, + { + "epoch": 0.13, + "learning_rate": 9.741585671418891e-06, + "loss": 0.5076, + "step": 966 + }, + { + "epoch": 0.13, + "learning_rate": 9.740894750636212e-06, + "loss": 0.4724, + "step": 967 + }, + { + "epoch": 0.13, + "learning_rate": 9.740202931999023e-06, + "loss": 0.4892, + "step": 968 + }, + { + "epoch": 0.13, + "learning_rate": 9.739510215638342e-06, + "loss": 0.5385, + "step": 969 + }, + { + "epoch": 0.13, + "learning_rate": 9.73881660168536e-06, + "loss": 0.5084, + "step": 970 + }, + { + "epoch": 0.13, + "learning_rate": 9.73812209027144e-06, + "loss": 0.5136, + "step": 971 + }, + { + "epoch": 0.13, + "learning_rate": 9.737426681528107e-06, + "loss": 0.5058, + "step": 972 + }, + { + "epoch": 0.13, + "learning_rate": 9.736730375587065e-06, + "loss": 0.5047, + "step": 973 + }, + { + "epoch": 0.13, + "learning_rate": 9.736033172580181e-06, + "loss": 0.5391, + "step": 974 + }, + { + "epoch": 0.13, + "learning_rate": 9.735335072639498e-06, + "loss": 0.5045, + "step": 975 + }, + { + "epoch": 0.13, + "learning_rate": 9.734636075897223e-06, + "loss": 0.483, + "step": 976 + }, + { + "epoch": 0.13, + "learning_rate": 9.733936182485739e-06, + "loss": 0.5059, + "step": 977 + }, + { + "epoch": 0.13, + "learning_rate": 9.73323539253759e-06, + "loss": 0.4734, + "step": 978 + }, + { + "epoch": 0.13, + "learning_rate": 9.732533706185499e-06, + "loss": 0.5199, + "step": 979 + }, + { + "epoch": 0.13, + "learning_rate": 9.731831123562355e-06, + "loss": 0.5051, + "step": 980 + }, + { + "epoch": 0.13, + "learning_rate": 9.731127644801215e-06, + "loss": 0.5112, + "step": 981 + }, + { + "epoch": 0.13, + "learning_rate": 9.730423270035307e-06, + "loss": 0.481, + "step": 982 + }, + { + "epoch": 0.13, + "learning_rate": 9.72971799939803e-06, + "loss": 0.5187, + "step": 983 + }, + { + "epoch": 0.13, + "learning_rate": 9.729011833022952e-06, + "loss": 0.4979, + "step": 984 + }, + { + "epoch": 0.13, + "learning_rate": 9.728304771043811e-06, + "loss": 0.5054, + "step": 985 + }, + { + "epoch": 0.13, + "learning_rate": 9.727596813594511e-06, + "loss": 0.486, + "step": 986 + }, + { + "epoch": 0.13, + "learning_rate": 9.726887960809131e-06, + "loss": 0.5009, + "step": 987 + }, + { + "epoch": 0.13, + "learning_rate": 9.726178212821917e-06, + "loss": 0.5139, + "step": 988 + }, + { + "epoch": 0.13, + "learning_rate": 9.725467569767285e-06, + "loss": 0.5117, + "step": 989 + }, + { + "epoch": 0.13, + "learning_rate": 9.724756031779819e-06, + "loss": 0.5394, + "step": 990 + }, + { + "epoch": 0.13, + "learning_rate": 9.724043598994273e-06, + "loss": 0.5045, + "step": 991 + }, + { + "epoch": 0.13, + "learning_rate": 9.723330271545574e-06, + "loss": 0.4903, + "step": 992 + }, + { + "epoch": 0.13, + "learning_rate": 9.722616049568811e-06, + "loss": 0.5077, + "step": 993 + }, + { + "epoch": 0.13, + "learning_rate": 9.721900933199253e-06, + "loss": 0.5096, + "step": 994 + }, + { + "epoch": 0.13, + "learning_rate": 9.721184922572327e-06, + "loss": 0.5151, + "step": 995 + }, + { + "epoch": 0.13, + "learning_rate": 9.720468017823637e-06, + "loss": 0.4868, + "step": 996 + }, + { + "epoch": 0.13, + "learning_rate": 9.719750219088954e-06, + "loss": 0.5165, + "step": 997 + }, + { + "epoch": 0.13, + "learning_rate": 9.719031526504217e-06, + "loss": 0.5134, + "step": 998 + }, + { + "epoch": 0.13, + "learning_rate": 9.718311940205538e-06, + "loss": 0.5131, + "step": 999 + }, + { + "epoch": 0.13, + "learning_rate": 9.717591460329195e-06, + "loss": 0.5028, + "step": 1000 + }, + { + "epoch": 0.13, + "learning_rate": 9.716870087011634e-06, + "loss": 0.5095, + "step": 1001 + }, + { + "epoch": 0.13, + "learning_rate": 9.716147820389474e-06, + "loss": 0.5202, + "step": 1002 + }, + { + "epoch": 0.13, + "learning_rate": 9.715424660599502e-06, + "loss": 0.5545, + "step": 1003 + }, + { + "epoch": 0.13, + "learning_rate": 9.714700607778673e-06, + "loss": 0.5113, + "step": 1004 + }, + { + "epoch": 0.14, + "learning_rate": 9.713975662064112e-06, + "loss": 0.5039, + "step": 1005 + }, + { + "epoch": 0.14, + "learning_rate": 9.713249823593112e-06, + "loss": 0.4981, + "step": 1006 + }, + { + "epoch": 0.14, + "learning_rate": 9.712523092503139e-06, + "loss": 0.5224, + "step": 1007 + }, + { + "epoch": 0.14, + "learning_rate": 9.71179546893182e-06, + "loss": 0.4967, + "step": 1008 + }, + { + "epoch": 0.14, + "learning_rate": 9.71106695301696e-06, + "loss": 0.5295, + "step": 1009 + }, + { + "epoch": 0.14, + "learning_rate": 9.710337544896526e-06, + "loss": 0.5221, + "step": 1010 + }, + { + "epoch": 0.14, + "learning_rate": 9.70960724470866e-06, + "loss": 0.4918, + "step": 1011 + }, + { + "epoch": 0.14, + "learning_rate": 9.70887605259167e-06, + "loss": 0.4811, + "step": 1012 + }, + { + "epoch": 0.14, + "learning_rate": 9.70814396868403e-06, + "loss": 0.5152, + "step": 1013 + }, + { + "epoch": 0.14, + "learning_rate": 9.707410993124386e-06, + "loss": 0.5016, + "step": 1014 + }, + { + "epoch": 0.14, + "learning_rate": 9.706677126051555e-06, + "loss": 0.4777, + "step": 1015 + }, + { + "epoch": 0.14, + "learning_rate": 9.705942367604521e-06, + "loss": 0.509, + "step": 1016 + }, + { + "epoch": 0.14, + "learning_rate": 9.705206717922434e-06, + "loss": 0.4862, + "step": 1017 + }, + { + "epoch": 0.14, + "learning_rate": 9.704470177144611e-06, + "loss": 0.5098, + "step": 1018 + }, + { + "epoch": 0.14, + "learning_rate": 9.70373274541055e-06, + "loss": 0.4833, + "step": 1019 + }, + { + "epoch": 0.14, + "learning_rate": 9.702994422859907e-06, + "loss": 0.4992, + "step": 1020 + }, + { + "epoch": 0.14, + "learning_rate": 9.702255209632505e-06, + "loss": 0.5006, + "step": 1021 + }, + { + "epoch": 0.14, + "learning_rate": 9.701515105868344e-06, + "loss": 0.4777, + "step": 1022 + }, + { + "epoch": 0.14, + "learning_rate": 9.700774111707589e-06, + "loss": 0.5308, + "step": 1023 + }, + { + "epoch": 0.14, + "learning_rate": 9.70003222729057e-06, + "loss": 0.5101, + "step": 1024 + }, + { + "epoch": 0.14, + "learning_rate": 9.699289452757791e-06, + "loss": 0.4759, + "step": 1025 + }, + { + "epoch": 0.14, + "learning_rate": 9.698545788249923e-06, + "loss": 0.5391, + "step": 1026 + }, + { + "epoch": 0.14, + "learning_rate": 9.697801233907804e-06, + "loss": 0.4971, + "step": 1027 + }, + { + "epoch": 0.14, + "learning_rate": 9.697055789872441e-06, + "loss": 0.5465, + "step": 1028 + }, + { + "epoch": 0.14, + "learning_rate": 9.696309456285009e-06, + "loss": 0.4717, + "step": 1029 + }, + { + "epoch": 0.14, + "learning_rate": 9.695562233286855e-06, + "loss": 0.5239, + "step": 1030 + }, + { + "epoch": 0.14, + "learning_rate": 9.694814121019491e-06, + "loss": 0.4923, + "step": 1031 + }, + { + "epoch": 0.14, + "learning_rate": 9.694065119624596e-06, + "loss": 0.5221, + "step": 1032 + }, + { + "epoch": 0.14, + "learning_rate": 9.693315229244023e-06, + "loss": 0.5326, + "step": 1033 + }, + { + "epoch": 0.14, + "learning_rate": 9.692564450019788e-06, + "loss": 0.4689, + "step": 1034 + }, + { + "epoch": 0.14, + "learning_rate": 9.691812782094076e-06, + "loss": 0.5322, + "step": 1035 + }, + { + "epoch": 0.14, + "learning_rate": 9.691060225609245e-06, + "loss": 0.5083, + "step": 1036 + }, + { + "epoch": 0.14, + "learning_rate": 9.690306780707817e-06, + "loss": 0.5027, + "step": 1037 + }, + { + "epoch": 0.14, + "learning_rate": 9.689552447532483e-06, + "loss": 0.5269, + "step": 1038 + }, + { + "epoch": 0.14, + "learning_rate": 9.688797226226101e-06, + "loss": 0.4936, + "step": 1039 + }, + { + "epoch": 0.14, + "learning_rate": 9.6880411169317e-06, + "loss": 0.5065, + "step": 1040 + }, + { + "epoch": 0.14, + "learning_rate": 9.687284119792476e-06, + "loss": 0.5175, + "step": 1041 + }, + { + "epoch": 0.14, + "learning_rate": 9.686526234951792e-06, + "loss": 0.4625, + "step": 1042 + }, + { + "epoch": 0.14, + "learning_rate": 9.685767462553179e-06, + "loss": 0.4647, + "step": 1043 + }, + { + "epoch": 0.14, + "learning_rate": 9.685007802740341e-06, + "loss": 0.4923, + "step": 1044 + }, + { + "epoch": 0.14, + "learning_rate": 9.684247255657142e-06, + "loss": 0.524, + "step": 1045 + }, + { + "epoch": 0.14, + "learning_rate": 9.68348582144762e-06, + "loss": 0.5085, + "step": 1046 + }, + { + "epoch": 0.14, + "learning_rate": 9.682723500255979e-06, + "loss": 0.5306, + "step": 1047 + }, + { + "epoch": 0.14, + "learning_rate": 9.681960292226593e-06, + "loss": 0.4568, + "step": 1048 + }, + { + "epoch": 0.14, + "learning_rate": 9.681196197504e-06, + "loss": 0.509, + "step": 1049 + }, + { + "epoch": 0.14, + "learning_rate": 9.680431216232908e-06, + "loss": 0.4866, + "step": 1050 + }, + { + "epoch": 0.14, + "learning_rate": 9.679665348558194e-06, + "loss": 0.4988, + "step": 1051 + }, + { + "epoch": 0.14, + "learning_rate": 9.6788985946249e-06, + "loss": 0.4907, + "step": 1052 + }, + { + "epoch": 0.14, + "learning_rate": 9.678130954578242e-06, + "loss": 0.4939, + "step": 1053 + }, + { + "epoch": 0.14, + "learning_rate": 9.677362428563597e-06, + "loss": 0.5128, + "step": 1054 + }, + { + "epoch": 0.14, + "learning_rate": 9.67659301672651e-06, + "loss": 0.4866, + "step": 1055 + }, + { + "epoch": 0.14, + "learning_rate": 9.675822719212699e-06, + "loss": 0.488, + "step": 1056 + }, + { + "epoch": 0.14, + "learning_rate": 9.675051536168047e-06, + "loss": 0.5219, + "step": 1057 + }, + { + "epoch": 0.14, + "learning_rate": 9.674279467738603e-06, + "loss": 0.4477, + "step": 1058 + }, + { + "epoch": 0.14, + "learning_rate": 9.673506514070585e-06, + "loss": 0.5046, + "step": 1059 + }, + { + "epoch": 0.14, + "learning_rate": 9.67273267531038e-06, + "loss": 0.5061, + "step": 1060 + }, + { + "epoch": 0.14, + "learning_rate": 9.671957951604542e-06, + "loss": 0.5013, + "step": 1061 + }, + { + "epoch": 0.14, + "learning_rate": 9.671182343099791e-06, + "loss": 0.4775, + "step": 1062 + }, + { + "epoch": 0.14, + "learning_rate": 9.670405849943017e-06, + "loss": 0.518, + "step": 1063 + }, + { + "epoch": 0.14, + "learning_rate": 9.669628472281273e-06, + "loss": 0.4943, + "step": 1064 + }, + { + "epoch": 0.14, + "learning_rate": 9.668850210261783e-06, + "loss": 0.5264, + "step": 1065 + }, + { + "epoch": 0.14, + "learning_rate": 9.668071064031944e-06, + "loss": 0.5013, + "step": 1066 + }, + { + "epoch": 0.14, + "learning_rate": 9.66729103373931e-06, + "loss": 0.5316, + "step": 1067 + }, + { + "epoch": 0.14, + "learning_rate": 9.666510119531606e-06, + "loss": 0.4786, + "step": 1068 + }, + { + "epoch": 0.14, + "learning_rate": 9.665728321556727e-06, + "loss": 0.4875, + "step": 1069 + }, + { + "epoch": 0.14, + "learning_rate": 9.664945639962736e-06, + "loss": 0.5309, + "step": 1070 + }, + { + "epoch": 0.14, + "learning_rate": 9.664162074897857e-06, + "loss": 0.4922, + "step": 1071 + }, + { + "epoch": 0.14, + "learning_rate": 9.663377626510488e-06, + "loss": 0.5126, + "step": 1072 + }, + { + "epoch": 0.14, + "learning_rate": 9.662592294949191e-06, + "loss": 0.5181, + "step": 1073 + }, + { + "epoch": 0.14, + "learning_rate": 9.661806080362697e-06, + "loss": 0.5352, + "step": 1074 + }, + { + "epoch": 0.14, + "learning_rate": 9.661018982899904e-06, + "loss": 0.5192, + "step": 1075 + }, + { + "epoch": 0.14, + "learning_rate": 9.660231002709873e-06, + "loss": 0.4761, + "step": 1076 + }, + { + "epoch": 0.14, + "learning_rate": 9.65944213994184e-06, + "loss": 0.5253, + "step": 1077 + }, + { + "epoch": 0.14, + "learning_rate": 9.6586523947452e-06, + "loss": 0.5046, + "step": 1078 + }, + { + "epoch": 0.14, + "learning_rate": 9.657861767269521e-06, + "loss": 0.4769, + "step": 1079 + }, + { + "epoch": 0.15, + "learning_rate": 9.657070257664537e-06, + "loss": 0.5299, + "step": 1080 + }, + { + "epoch": 0.15, + "learning_rate": 9.656277866080143e-06, + "loss": 0.4725, + "step": 1081 + }, + { + "epoch": 0.15, + "learning_rate": 9.655484592666413e-06, + "loss": 0.5289, + "step": 1082 + }, + { + "epoch": 0.15, + "learning_rate": 9.654690437573577e-06, + "loss": 0.5085, + "step": 1083 + }, + { + "epoch": 0.15, + "learning_rate": 9.653895400952037e-06, + "loss": 0.4848, + "step": 1084 + }, + { + "epoch": 0.15, + "learning_rate": 9.65309948295236e-06, + "loss": 0.4979, + "step": 1085 + }, + { + "epoch": 0.15, + "learning_rate": 9.652302683725283e-06, + "loss": 0.5104, + "step": 1086 + }, + { + "epoch": 0.15, + "learning_rate": 9.651505003421706e-06, + "loss": 0.4939, + "step": 1087 + }, + { + "epoch": 0.15, + "learning_rate": 9.650706442192698e-06, + "loss": 0.4838, + "step": 1088 + }, + { + "epoch": 0.15, + "learning_rate": 9.649907000189496e-06, + "loss": 0.4943, + "step": 1089 + }, + { + "epoch": 0.15, + "learning_rate": 9.649106677563503e-06, + "loss": 0.5, + "step": 1090 + }, + { + "epoch": 0.15, + "learning_rate": 9.648305474466284e-06, + "loss": 0.5002, + "step": 1091 + }, + { + "epoch": 0.15, + "learning_rate": 9.647503391049579e-06, + "loss": 0.5043, + "step": 1092 + }, + { + "epoch": 0.15, + "learning_rate": 9.646700427465287e-06, + "loss": 0.492, + "step": 1093 + }, + { + "epoch": 0.15, + "learning_rate": 9.645896583865482e-06, + "loss": 0.4885, + "step": 1094 + }, + { + "epoch": 0.15, + "learning_rate": 9.645091860402396e-06, + "loss": 0.4974, + "step": 1095 + }, + { + "epoch": 0.15, + "learning_rate": 9.644286257228433e-06, + "loss": 0.5237, + "step": 1096 + }, + { + "epoch": 0.15, + "learning_rate": 9.64347977449616e-06, + "loss": 0.4764, + "step": 1097 + }, + { + "epoch": 0.15, + "learning_rate": 9.642672412358317e-06, + "loss": 0.4559, + "step": 1098 + }, + { + "epoch": 0.15, + "learning_rate": 9.641864170967803e-06, + "loss": 0.5137, + "step": 1099 + }, + { + "epoch": 0.15, + "learning_rate": 9.641055050477689e-06, + "loss": 0.5179, + "step": 1100 + }, + { + "epoch": 0.15, + "learning_rate": 9.640245051041209e-06, + "loss": 0.5217, + "step": 1101 + }, + { + "epoch": 0.15, + "learning_rate": 9.639434172811763e-06, + "loss": 0.5108, + "step": 1102 + }, + { + "epoch": 0.15, + "learning_rate": 9.638622415942923e-06, + "loss": 0.5069, + "step": 1103 + }, + { + "epoch": 0.15, + "learning_rate": 9.637809780588423e-06, + "loss": 0.5033, + "step": 1104 + }, + { + "epoch": 0.15, + "learning_rate": 9.63699626690216e-06, + "loss": 0.5172, + "step": 1105 + }, + { + "epoch": 0.15, + "learning_rate": 9.636181875038205e-06, + "loss": 0.5139, + "step": 1106 + }, + { + "epoch": 0.15, + "learning_rate": 9.635366605150791e-06, + "loss": 0.6141, + "step": 1107 + }, + { + "epoch": 0.15, + "learning_rate": 9.634550457394318e-06, + "loss": 0.5143, + "step": 1108 + }, + { + "epoch": 0.15, + "learning_rate": 9.633733431923351e-06, + "loss": 0.5175, + "step": 1109 + }, + { + "epoch": 0.15, + "learning_rate": 9.632915528892624e-06, + "loss": 0.4938, + "step": 1110 + }, + { + "epoch": 0.15, + "learning_rate": 9.632096748457035e-06, + "loss": 0.5134, + "step": 1111 + }, + { + "epoch": 0.15, + "learning_rate": 9.631277090771646e-06, + "loss": 0.5282, + "step": 1112 + }, + { + "epoch": 0.15, + "learning_rate": 9.630456555991691e-06, + "loss": 0.5235, + "step": 1113 + }, + { + "epoch": 0.15, + "learning_rate": 9.629635144272568e-06, + "loss": 0.5126, + "step": 1114 + }, + { + "epoch": 0.15, + "learning_rate": 9.628812855769838e-06, + "loss": 0.4916, + "step": 1115 + }, + { + "epoch": 0.15, + "learning_rate": 9.62798969063923e-06, + "loss": 0.4795, + "step": 1116 + }, + { + "epoch": 0.15, + "learning_rate": 9.62716564903664e-06, + "loss": 0.4999, + "step": 1117 + }, + { + "epoch": 0.15, + "learning_rate": 9.62634073111813e-06, + "loss": 0.5093, + "step": 1118 + }, + { + "epoch": 0.15, + "learning_rate": 9.625514937039926e-06, + "loss": 0.4946, + "step": 1119 + }, + { + "epoch": 0.15, + "learning_rate": 9.62468826695842e-06, + "loss": 0.4981, + "step": 1120 + }, + { + "epoch": 0.15, + "learning_rate": 9.623860721030174e-06, + "loss": 0.4814, + "step": 1121 + }, + { + "epoch": 0.15, + "learning_rate": 9.623032299411908e-06, + "loss": 0.512, + "step": 1122 + }, + { + "epoch": 0.15, + "learning_rate": 9.622203002260516e-06, + "loss": 0.4897, + "step": 1123 + }, + { + "epoch": 0.15, + "learning_rate": 9.621372829733056e-06, + "loss": 0.5106, + "step": 1124 + }, + { + "epoch": 0.15, + "learning_rate": 9.620541781986747e-06, + "loss": 0.4968, + "step": 1125 + }, + { + "epoch": 0.15, + "learning_rate": 9.619709859178978e-06, + "loss": 0.5272, + "step": 1126 + }, + { + "epoch": 0.15, + "learning_rate": 9.618877061467305e-06, + "loss": 0.4883, + "step": 1127 + }, + { + "epoch": 0.15, + "learning_rate": 9.618043389009443e-06, + "loss": 0.4893, + "step": 1128 + }, + { + "epoch": 0.15, + "learning_rate": 9.617208841963279e-06, + "loss": 0.5128, + "step": 1129 + }, + { + "epoch": 0.15, + "learning_rate": 9.616373420486867e-06, + "loss": 0.5, + "step": 1130 + }, + { + "epoch": 0.15, + "learning_rate": 9.615537124738418e-06, + "loss": 0.5321, + "step": 1131 + }, + { + "epoch": 0.15, + "learning_rate": 9.614699954876317e-06, + "loss": 0.5159, + "step": 1132 + }, + { + "epoch": 0.15, + "learning_rate": 9.613861911059112e-06, + "loss": 0.5298, + "step": 1133 + }, + { + "epoch": 0.15, + "learning_rate": 9.613022993445514e-06, + "loss": 0.488, + "step": 1134 + }, + { + "epoch": 0.15, + "learning_rate": 9.6121832021944e-06, + "loss": 0.5319, + "step": 1135 + }, + { + "epoch": 0.15, + "learning_rate": 9.61134253746482e-06, + "loss": 0.5468, + "step": 1136 + }, + { + "epoch": 0.15, + "learning_rate": 9.610500999415978e-06, + "loss": 0.4562, + "step": 1137 + }, + { + "epoch": 0.15, + "learning_rate": 9.609658588207248e-06, + "loss": 0.5169, + "step": 1138 + }, + { + "epoch": 0.15, + "learning_rate": 9.608815303998176e-06, + "loss": 0.5371, + "step": 1139 + }, + { + "epoch": 0.15, + "learning_rate": 9.60797114694846e-06, + "loss": 0.5034, + "step": 1140 + }, + { + "epoch": 0.15, + "learning_rate": 9.607126117217977e-06, + "loss": 0.4987, + "step": 1141 + }, + { + "epoch": 0.15, + "learning_rate": 9.606280214966759e-06, + "loss": 0.4988, + "step": 1142 + }, + { + "epoch": 0.15, + "learning_rate": 9.605433440355009e-06, + "loss": 0.4832, + "step": 1143 + }, + { + "epoch": 0.15, + "learning_rate": 9.604585793543093e-06, + "loss": 0.5243, + "step": 1144 + }, + { + "epoch": 0.15, + "learning_rate": 9.603737274691543e-06, + "loss": 0.4622, + "step": 1145 + }, + { + "epoch": 0.15, + "learning_rate": 9.602887883961056e-06, + "loss": 0.5017, + "step": 1146 + }, + { + "epoch": 0.15, + "learning_rate": 9.602037621512492e-06, + "loss": 0.5069, + "step": 1147 + }, + { + "epoch": 0.15, + "learning_rate": 9.60118648750688e-06, + "loss": 0.4967, + "step": 1148 + }, + { + "epoch": 0.15, + "learning_rate": 9.60033448210541e-06, + "loss": 0.4853, + "step": 1149 + }, + { + "epoch": 0.15, + "learning_rate": 9.599481605469444e-06, + "loss": 0.5233, + "step": 1150 + }, + { + "epoch": 0.15, + "learning_rate": 9.598627857760496e-06, + "loss": 0.4919, + "step": 1151 + }, + { + "epoch": 0.15, + "learning_rate": 9.59777323914026e-06, + "loss": 0.4924, + "step": 1152 + }, + { + "epoch": 0.15, + "learning_rate": 9.596917749770584e-06, + "loss": 0.5148, + "step": 1153 + }, + { + "epoch": 0.16, + "learning_rate": 9.596061389813486e-06, + "loss": 0.5437, + "step": 1154 + }, + { + "epoch": 0.16, + "learning_rate": 9.59520415943115e-06, + "loss": 0.4976, + "step": 1155 + }, + { + "epoch": 0.16, + "learning_rate": 9.594346058785921e-06, + "loss": 0.4901, + "step": 1156 + }, + { + "epoch": 0.16, + "learning_rate": 9.59348708804031e-06, + "loss": 0.5108, + "step": 1157 + }, + { + "epoch": 0.16, + "learning_rate": 9.592627247356991e-06, + "loss": 0.5171, + "step": 1158 + }, + { + "epoch": 0.16, + "learning_rate": 9.59176653689881e-06, + "loss": 0.4943, + "step": 1159 + }, + { + "epoch": 0.16, + "learning_rate": 9.590904956828769e-06, + "loss": 0.489, + "step": 1160 + }, + { + "epoch": 0.16, + "learning_rate": 9.590042507310038e-06, + "loss": 0.4914, + "step": 1161 + }, + { + "epoch": 0.16, + "learning_rate": 9.589179188505955e-06, + "loss": 0.4973, + "step": 1162 + }, + { + "epoch": 0.16, + "learning_rate": 9.588315000580018e-06, + "loss": 0.4916, + "step": 1163 + }, + { + "epoch": 0.16, + "learning_rate": 9.58744994369589e-06, + "loss": 0.5204, + "step": 1164 + }, + { + "epoch": 0.16, + "learning_rate": 9.586584018017402e-06, + "loss": 0.5122, + "step": 1165 + }, + { + "epoch": 0.16, + "learning_rate": 9.585717223708545e-06, + "loss": 0.4958, + "step": 1166 + }, + { + "epoch": 0.16, + "learning_rate": 9.58484956093348e-06, + "loss": 0.498, + "step": 1167 + }, + { + "epoch": 0.16, + "learning_rate": 9.583981029856529e-06, + "loss": 0.4793, + "step": 1168 + }, + { + "epoch": 0.16, + "learning_rate": 9.583111630642177e-06, + "loss": 0.4715, + "step": 1169 + }, + { + "epoch": 0.16, + "learning_rate": 9.582241363455073e-06, + "loss": 0.4886, + "step": 1170 + }, + { + "epoch": 0.16, + "learning_rate": 9.581370228460038e-06, + "loss": 0.4866, + "step": 1171 + }, + { + "epoch": 0.16, + "learning_rate": 9.580498225822049e-06, + "loss": 0.511, + "step": 1172 + }, + { + "epoch": 0.16, + "learning_rate": 9.579625355706249e-06, + "loss": 0.5317, + "step": 1173 + }, + { + "epoch": 0.16, + "learning_rate": 9.578751618277949e-06, + "loss": 0.4588, + "step": 1174 + }, + { + "epoch": 0.16, + "learning_rate": 9.577877013702619e-06, + "loss": 0.4781, + "step": 1175 + }, + { + "epoch": 0.16, + "learning_rate": 9.5770015421459e-06, + "loss": 0.4762, + "step": 1176 + }, + { + "epoch": 0.16, + "learning_rate": 9.576125203773589e-06, + "loss": 0.4796, + "step": 1177 + }, + { + "epoch": 0.16, + "learning_rate": 9.575247998751655e-06, + "loss": 0.5369, + "step": 1178 + }, + { + "epoch": 0.16, + "learning_rate": 9.574369927246225e-06, + "loss": 0.5061, + "step": 1179 + }, + { + "epoch": 0.16, + "learning_rate": 9.573490989423595e-06, + "loss": 0.5076, + "step": 1180 + }, + { + "epoch": 0.16, + "learning_rate": 9.57261118545022e-06, + "loss": 0.5152, + "step": 1181 + }, + { + "epoch": 0.16, + "learning_rate": 9.571730515492722e-06, + "loss": 0.5239, + "step": 1182 + }, + { + "epoch": 0.16, + "learning_rate": 9.57084897971789e-06, + "loss": 0.5164, + "step": 1183 + }, + { + "epoch": 0.16, + "learning_rate": 9.56996657829267e-06, + "loss": 0.4563, + "step": 1184 + }, + { + "epoch": 0.16, + "learning_rate": 9.569083311384177e-06, + "loss": 0.5066, + "step": 1185 + }, + { + "epoch": 0.16, + "learning_rate": 9.568199179159688e-06, + "loss": 0.511, + "step": 1186 + }, + { + "epoch": 0.16, + "learning_rate": 9.567314181786644e-06, + "loss": 0.4948, + "step": 1187 + }, + { + "epoch": 0.16, + "learning_rate": 9.566428319432652e-06, + "loss": 0.5169, + "step": 1188 + }, + { + "epoch": 0.16, + "learning_rate": 9.56554159226548e-06, + "loss": 0.4806, + "step": 1189 + }, + { + "epoch": 0.16, + "learning_rate": 9.56465400045306e-06, + "loss": 0.5103, + "step": 1190 + }, + { + "epoch": 0.16, + "learning_rate": 9.563765544163492e-06, + "loss": 0.534, + "step": 1191 + }, + { + "epoch": 0.16, + "learning_rate": 9.562876223565031e-06, + "loss": 0.4979, + "step": 1192 + }, + { + "epoch": 0.16, + "learning_rate": 9.561986038826106e-06, + "loss": 0.5073, + "step": 1193 + }, + { + "epoch": 0.16, + "learning_rate": 9.561094990115302e-06, + "loss": 0.481, + "step": 1194 + }, + { + "epoch": 0.16, + "learning_rate": 9.560203077601371e-06, + "loss": 0.535, + "step": 1195 + }, + { + "epoch": 0.16, + "learning_rate": 9.559310301453228e-06, + "loss": 0.4692, + "step": 1196 + }, + { + "epoch": 0.16, + "learning_rate": 9.558416661839951e-06, + "loss": 0.4941, + "step": 1197 + }, + { + "epoch": 0.16, + "learning_rate": 9.557522158930784e-06, + "loss": 0.5147, + "step": 1198 + }, + { + "epoch": 0.16, + "learning_rate": 9.556626792895127e-06, + "loss": 0.474, + "step": 1199 + }, + { + "epoch": 0.16, + "learning_rate": 9.555730563902555e-06, + "loss": 0.5089, + "step": 1200 + }, + { + "epoch": 0.16, + "learning_rate": 9.554833472122798e-06, + "loss": 0.5232, + "step": 1201 + }, + { + "epoch": 0.16, + "learning_rate": 9.553935517725749e-06, + "loss": 0.4955, + "step": 1202 + }, + { + "epoch": 0.16, + "learning_rate": 9.553036700881473e-06, + "loss": 0.502, + "step": 1203 + }, + { + "epoch": 0.16, + "learning_rate": 9.552137021760189e-06, + "loss": 0.4958, + "step": 1204 + }, + { + "epoch": 0.16, + "learning_rate": 9.551236480532282e-06, + "loss": 0.5153, + "step": 1205 + }, + { + "epoch": 0.16, + "learning_rate": 9.550335077368303e-06, + "loss": 0.5213, + "step": 1206 + }, + { + "epoch": 0.16, + "learning_rate": 9.549432812438961e-06, + "loss": 0.5028, + "step": 1207 + }, + { + "epoch": 0.16, + "learning_rate": 9.548529685915135e-06, + "loss": 0.4799, + "step": 1208 + }, + { + "epoch": 0.16, + "learning_rate": 9.547625697967862e-06, + "loss": 0.4918, + "step": 1209 + }, + { + "epoch": 0.16, + "learning_rate": 9.546720848768346e-06, + "loss": 0.5209, + "step": 1210 + }, + { + "epoch": 0.16, + "learning_rate": 9.54581513848795e-06, + "loss": 0.5071, + "step": 1211 + }, + { + "epoch": 0.16, + "learning_rate": 9.544908567298201e-06, + "loss": 0.4958, + "step": 1212 + }, + { + "epoch": 0.16, + "learning_rate": 9.544001135370791e-06, + "loss": 0.4639, + "step": 1213 + }, + { + "epoch": 0.16, + "learning_rate": 9.543092842877575e-06, + "loss": 0.5067, + "step": 1214 + }, + { + "epoch": 0.16, + "learning_rate": 9.542183689990567e-06, + "loss": 0.4915, + "step": 1215 + }, + { + "epoch": 0.16, + "learning_rate": 9.541273676881952e-06, + "loss": 0.4789, + "step": 1216 + }, + { + "epoch": 0.16, + "learning_rate": 9.540362803724068e-06, + "loss": 0.487, + "step": 1217 + }, + { + "epoch": 0.16, + "learning_rate": 9.539451070689424e-06, + "loss": 0.4892, + "step": 1218 + }, + { + "epoch": 0.16, + "learning_rate": 9.538538477950686e-06, + "loss": 0.4747, + "step": 1219 + }, + { + "epoch": 0.16, + "learning_rate": 9.537625025680687e-06, + "loss": 0.5321, + "step": 1220 + }, + { + "epoch": 0.16, + "learning_rate": 9.536710714052422e-06, + "loss": 0.5278, + "step": 1221 + }, + { + "epoch": 0.16, + "learning_rate": 9.535795543239045e-06, + "loss": 0.5031, + "step": 1222 + }, + { + "epoch": 0.16, + "learning_rate": 9.53487951341388e-06, + "loss": 0.49, + "step": 1223 + }, + { + "epoch": 0.16, + "learning_rate": 9.533962624750406e-06, + "loss": 0.4541, + "step": 1224 + }, + { + "epoch": 0.16, + "learning_rate": 9.533044877422267e-06, + "loss": 0.4585, + "step": 1225 + }, + { + "epoch": 0.16, + "learning_rate": 9.532126271603275e-06, + "loss": 0.522, + "step": 1226 + }, + { + "epoch": 0.16, + "learning_rate": 9.531206807467395e-06, + "loss": 0.5049, + "step": 1227 + }, + { + "epoch": 0.16, + "learning_rate": 9.530286485188764e-06, + "loss": 0.5061, + "step": 1228 + }, + { + "epoch": 0.17, + "learning_rate": 9.529365304941676e-06, + "loss": 0.4902, + "step": 1229 + }, + { + "epoch": 0.17, + "learning_rate": 9.528443266900586e-06, + "loss": 0.5154, + "step": 1230 + }, + { + "epoch": 0.17, + "learning_rate": 9.52752037124012e-06, + "loss": 0.522, + "step": 1231 + }, + { + "epoch": 0.17, + "learning_rate": 9.526596618135055e-06, + "loss": 0.4991, + "step": 1232 + }, + { + "epoch": 0.17, + "learning_rate": 9.525672007760337e-06, + "loss": 0.4821, + "step": 1233 + }, + { + "epoch": 0.17, + "learning_rate": 9.524746540291076e-06, + "loss": 0.4969, + "step": 1234 + }, + { + "epoch": 0.17, + "learning_rate": 9.523820215902542e-06, + "loss": 0.5205, + "step": 1235 + }, + { + "epoch": 0.17, + "learning_rate": 9.522893034770165e-06, + "loss": 0.5031, + "step": 1236 + }, + { + "epoch": 0.17, + "learning_rate": 9.521964997069538e-06, + "loss": 0.4851, + "step": 1237 + }, + { + "epoch": 0.17, + "learning_rate": 9.521036102976417e-06, + "loss": 0.4873, + "step": 1238 + }, + { + "epoch": 0.17, + "learning_rate": 9.520106352666727e-06, + "loss": 0.493, + "step": 1239 + }, + { + "epoch": 0.17, + "learning_rate": 9.51917574631654e-06, + "loss": 0.4823, + "step": 1240 + }, + { + "epoch": 0.17, + "learning_rate": 9.518244284102108e-06, + "loss": 0.5096, + "step": 1241 + }, + { + "epoch": 0.17, + "learning_rate": 9.517311966199827e-06, + "loss": 0.4932, + "step": 1242 + }, + { + "epoch": 0.17, + "learning_rate": 9.51637879278627e-06, + "loss": 0.4899, + "step": 1243 + }, + { + "epoch": 0.17, + "learning_rate": 9.515444764038165e-06, + "loss": 0.4627, + "step": 1244 + }, + { + "epoch": 0.17, + "learning_rate": 9.514509880132401e-06, + "loss": 0.5111, + "step": 1245 + }, + { + "epoch": 0.17, + "learning_rate": 9.513574141246034e-06, + "loss": 0.4717, + "step": 1246 + }, + { + "epoch": 0.17, + "learning_rate": 9.512637547556275e-06, + "loss": 0.4671, + "step": 1247 + }, + { + "epoch": 0.17, + "learning_rate": 9.511700099240507e-06, + "loss": 0.496, + "step": 1248 + }, + { + "epoch": 0.17, + "learning_rate": 9.510761796476263e-06, + "loss": 0.5362, + "step": 1249 + }, + { + "epoch": 0.17, + "learning_rate": 9.509822639441247e-06, + "loss": 0.4927, + "step": 1250 + }, + { + "epoch": 0.17, + "learning_rate": 9.508882628313316e-06, + "loss": 0.4922, + "step": 1251 + }, + { + "epoch": 0.17, + "learning_rate": 9.507941763270501e-06, + "loss": 0.5035, + "step": 1252 + }, + { + "epoch": 0.17, + "learning_rate": 9.507000044490984e-06, + "loss": 0.5028, + "step": 1253 + }, + { + "epoch": 0.17, + "learning_rate": 9.506057472153112e-06, + "loss": 0.5011, + "step": 1254 + }, + { + "epoch": 0.17, + "learning_rate": 9.505114046435395e-06, + "loss": 0.5127, + "step": 1255 + }, + { + "epoch": 0.17, + "learning_rate": 9.504169767516504e-06, + "loss": 0.4774, + "step": 1256 + }, + { + "epoch": 0.17, + "learning_rate": 9.503224635575273e-06, + "loss": 0.479, + "step": 1257 + }, + { + "epoch": 0.17, + "learning_rate": 9.502278650790692e-06, + "loss": 0.5037, + "step": 1258 + }, + { + "epoch": 0.17, + "learning_rate": 9.501331813341918e-06, + "loss": 0.474, + "step": 1259 + }, + { + "epoch": 0.17, + "learning_rate": 9.50038412340827e-06, + "loss": 0.4732, + "step": 1260 + }, + { + "epoch": 0.17, + "learning_rate": 9.499435581169222e-06, + "loss": 0.4879, + "step": 1261 + }, + { + "epoch": 0.17, + "learning_rate": 9.498486186804418e-06, + "loss": 0.5179, + "step": 1262 + }, + { + "epoch": 0.17, + "learning_rate": 9.497535940493656e-06, + "loss": 0.4802, + "step": 1263 + }, + { + "epoch": 0.17, + "learning_rate": 9.4965848424169e-06, + "loss": 0.5395, + "step": 1264 + }, + { + "epoch": 0.17, + "learning_rate": 9.495632892754275e-06, + "loss": 0.5301, + "step": 1265 + }, + { + "epoch": 0.17, + "learning_rate": 9.494680091686061e-06, + "loss": 0.5404, + "step": 1266 + }, + { + "epoch": 0.17, + "learning_rate": 9.493726439392712e-06, + "loss": 0.4749, + "step": 1267 + }, + { + "epoch": 0.17, + "learning_rate": 9.492771936054828e-06, + "loss": 0.5136, + "step": 1268 + }, + { + "epoch": 0.17, + "learning_rate": 9.491816581853181e-06, + "loss": 0.5102, + "step": 1269 + }, + { + "epoch": 0.17, + "learning_rate": 9.4908603769687e-06, + "loss": 0.5307, + "step": 1270 + }, + { + "epoch": 0.17, + "learning_rate": 9.48990332158248e-06, + "loss": 0.4912, + "step": 1271 + }, + { + "epoch": 0.17, + "learning_rate": 9.488945415875765e-06, + "loss": 0.5173, + "step": 1272 + }, + { + "epoch": 0.17, + "learning_rate": 9.487986660029975e-06, + "loss": 0.5184, + "step": 1273 + }, + { + "epoch": 0.17, + "learning_rate": 9.487027054226681e-06, + "loss": 0.504, + "step": 1274 + }, + { + "epoch": 0.17, + "learning_rate": 9.486066598647618e-06, + "loss": 0.5041, + "step": 1275 + }, + { + "epoch": 0.17, + "learning_rate": 9.485105293474682e-06, + "loss": 0.5334, + "step": 1276 + }, + { + "epoch": 0.17, + "learning_rate": 9.484143138889931e-06, + "loss": 0.4866, + "step": 1277 + }, + { + "epoch": 0.17, + "learning_rate": 9.48318013507558e-06, + "loss": 0.491, + "step": 1278 + }, + { + "epoch": 0.17, + "learning_rate": 9.482216282214011e-06, + "loss": 0.48, + "step": 1279 + }, + { + "epoch": 0.17, + "learning_rate": 9.481251580487762e-06, + "loss": 0.5151, + "step": 1280 + }, + { + "epoch": 0.17, + "learning_rate": 9.480286030079532e-06, + "loss": 0.4927, + "step": 1281 + }, + { + "epoch": 0.17, + "learning_rate": 9.479319631172184e-06, + "loss": 0.548, + "step": 1282 + }, + { + "epoch": 0.17, + "learning_rate": 9.478352383948735e-06, + "loss": 0.5228, + "step": 1283 + }, + { + "epoch": 0.17, + "learning_rate": 9.477384288592371e-06, + "loss": 0.5309, + "step": 1284 + }, + { + "epoch": 0.17, + "learning_rate": 9.476415345286436e-06, + "loss": 0.5014, + "step": 1285 + }, + { + "epoch": 0.17, + "learning_rate": 9.475445554214429e-06, + "loss": 0.5211, + "step": 1286 + }, + { + "epoch": 0.17, + "learning_rate": 9.474474915560016e-06, + "loss": 0.5225, + "step": 1287 + }, + { + "epoch": 0.17, + "learning_rate": 9.473503429507024e-06, + "loss": 0.5076, + "step": 1288 + }, + { + "epoch": 0.17, + "learning_rate": 9.472531096239434e-06, + "loss": 0.4998, + "step": 1289 + }, + { + "epoch": 0.17, + "learning_rate": 9.471557915941393e-06, + "loss": 0.4958, + "step": 1290 + }, + { + "epoch": 0.17, + "learning_rate": 9.470583888797207e-06, + "loss": 0.471, + "step": 1291 + }, + { + "epoch": 0.17, + "learning_rate": 9.469609014991341e-06, + "loss": 0.5208, + "step": 1292 + }, + { + "epoch": 0.17, + "learning_rate": 9.468633294708422e-06, + "loss": 0.4993, + "step": 1293 + }, + { + "epoch": 0.17, + "learning_rate": 9.467656728133239e-06, + "loss": 0.4867, + "step": 1294 + }, + { + "epoch": 0.17, + "learning_rate": 9.466679315450736e-06, + "loss": 0.4856, + "step": 1295 + }, + { + "epoch": 0.17, + "learning_rate": 9.465701056846022e-06, + "loss": 0.4955, + "step": 1296 + }, + { + "epoch": 0.17, + "learning_rate": 9.464721952504363e-06, + "loss": 0.5044, + "step": 1297 + }, + { + "epoch": 0.17, + "learning_rate": 9.46374200261119e-06, + "loss": 0.5083, + "step": 1298 + }, + { + "epoch": 0.17, + "learning_rate": 9.462761207352087e-06, + "loss": 0.5111, + "step": 1299 + }, + { + "epoch": 0.17, + "learning_rate": 9.461779566912805e-06, + "loss": 0.5077, + "step": 1300 + }, + { + "epoch": 0.17, + "learning_rate": 9.46079708147925e-06, + "loss": 0.4749, + "step": 1301 + }, + { + "epoch": 0.17, + "learning_rate": 9.45981375123749e-06, + "loss": 0.4989, + "step": 1302 + }, + { + "epoch": 0.18, + "learning_rate": 9.458829576373753e-06, + "loss": 0.5039, + "step": 1303 + }, + { + "epoch": 0.18, + "learning_rate": 9.45784455707443e-06, + "loss": 0.5157, + "step": 1304 + }, + { + "epoch": 0.18, + "learning_rate": 9.456858693526065e-06, + "loss": 0.5234, + "step": 1305 + }, + { + "epoch": 0.18, + "learning_rate": 9.455871985915367e-06, + "loss": 0.5107, + "step": 1306 + }, + { + "epoch": 0.18, + "learning_rate": 9.454884434429205e-06, + "loss": 0.5032, + "step": 1307 + }, + { + "epoch": 0.18, + "learning_rate": 9.453896039254607e-06, + "loss": 0.5286, + "step": 1308 + }, + { + "epoch": 0.18, + "learning_rate": 9.452906800578755e-06, + "loss": 0.4829, + "step": 1309 + }, + { + "epoch": 0.18, + "learning_rate": 9.451916718589002e-06, + "loss": 0.4971, + "step": 1310 + }, + { + "epoch": 0.18, + "learning_rate": 9.450925793472853e-06, + "loss": 0.5361, + "step": 1311 + }, + { + "epoch": 0.18, + "learning_rate": 9.449934025417974e-06, + "loss": 0.4569, + "step": 1312 + }, + { + "epoch": 0.18, + "learning_rate": 9.448941414612191e-06, + "loss": 0.5177, + "step": 1313 + }, + { + "epoch": 0.18, + "learning_rate": 9.447947961243489e-06, + "loss": 0.5232, + "step": 1314 + }, + { + "epoch": 0.18, + "learning_rate": 9.446953665500013e-06, + "loss": 0.4788, + "step": 1315 + }, + { + "epoch": 0.18, + "learning_rate": 9.445958527570069e-06, + "loss": 0.4896, + "step": 1316 + }, + { + "epoch": 0.18, + "learning_rate": 9.44496254764212e-06, + "loss": 0.4922, + "step": 1317 + }, + { + "epoch": 0.18, + "learning_rate": 9.443965725904792e-06, + "loss": 0.5178, + "step": 1318 + }, + { + "epoch": 0.18, + "learning_rate": 9.442968062546864e-06, + "loss": 0.4525, + "step": 1319 + }, + { + "epoch": 0.18, + "learning_rate": 9.441969557757285e-06, + "loss": 0.5226, + "step": 1320 + }, + { + "epoch": 0.18, + "learning_rate": 9.44097021172515e-06, + "loss": 0.4682, + "step": 1321 + }, + { + "epoch": 0.18, + "learning_rate": 9.439970024639723e-06, + "loss": 0.5075, + "step": 1322 + }, + { + "epoch": 0.18, + "learning_rate": 9.438968996690425e-06, + "loss": 0.5093, + "step": 1323 + }, + { + "epoch": 0.18, + "learning_rate": 9.437967128066836e-06, + "loss": 0.4893, + "step": 1324 + }, + { + "epoch": 0.18, + "learning_rate": 9.436964418958692e-06, + "loss": 0.5083, + "step": 1325 + }, + { + "epoch": 0.18, + "learning_rate": 9.435960869555895e-06, + "loss": 0.5051, + "step": 1326 + }, + { + "epoch": 0.18, + "learning_rate": 9.434956480048501e-06, + "loss": 0.4693, + "step": 1327 + }, + { + "epoch": 0.18, + "learning_rate": 9.433951250626725e-06, + "loss": 0.4776, + "step": 1328 + }, + { + "epoch": 0.18, + "learning_rate": 9.432945181480943e-06, + "loss": 0.5016, + "step": 1329 + }, + { + "epoch": 0.18, + "learning_rate": 9.43193827280169e-06, + "loss": 0.5021, + "step": 1330 + }, + { + "epoch": 0.18, + "learning_rate": 9.43093052477966e-06, + "loss": 0.4733, + "step": 1331 + }, + { + "epoch": 0.18, + "learning_rate": 9.429921937605704e-06, + "loss": 0.4735, + "step": 1332 + }, + { + "epoch": 0.18, + "learning_rate": 9.428912511470833e-06, + "loss": 0.5372, + "step": 1333 + }, + { + "epoch": 0.18, + "learning_rate": 9.427902246566218e-06, + "loss": 0.4921, + "step": 1334 + }, + { + "epoch": 0.18, + "learning_rate": 9.426891143083189e-06, + "loss": 0.4889, + "step": 1335 + }, + { + "epoch": 0.18, + "learning_rate": 9.425879201213232e-06, + "loss": 0.5025, + "step": 1336 + }, + { + "epoch": 0.18, + "learning_rate": 9.424866421147996e-06, + "loss": 0.5019, + "step": 1337 + }, + { + "epoch": 0.18, + "learning_rate": 9.423852803079283e-06, + "loss": 0.4878, + "step": 1338 + }, + { + "epoch": 0.18, + "learning_rate": 9.42283834719906e-06, + "loss": 0.5191, + "step": 1339 + }, + { + "epoch": 0.18, + "learning_rate": 9.421823053699449e-06, + "loss": 0.5308, + "step": 1340 + }, + { + "epoch": 0.18, + "learning_rate": 9.420806922772732e-06, + "loss": 0.5507, + "step": 1341 + }, + { + "epoch": 0.18, + "learning_rate": 9.419789954611347e-06, + "loss": 0.5287, + "step": 1342 + }, + { + "epoch": 0.18, + "learning_rate": 9.418772149407895e-06, + "loss": 0.4742, + "step": 1343 + }, + { + "epoch": 0.18, + "learning_rate": 9.41775350735513e-06, + "loss": 0.4853, + "step": 1344 + }, + { + "epoch": 0.18, + "learning_rate": 9.41673402864597e-06, + "loss": 0.474, + "step": 1345 + }, + { + "epoch": 0.18, + "learning_rate": 9.41571371347349e-06, + "loss": 0.5053, + "step": 1346 + }, + { + "epoch": 0.18, + "learning_rate": 9.414692562030919e-06, + "loss": 0.5096, + "step": 1347 + }, + { + "epoch": 0.18, + "learning_rate": 9.41367057451165e-06, + "loss": 0.5015, + "step": 1348 + }, + { + "epoch": 0.18, + "learning_rate": 9.412647751109231e-06, + "loss": 0.503, + "step": 1349 + }, + { + "epoch": 0.18, + "learning_rate": 9.411624092017372e-06, + "loss": 0.5237, + "step": 1350 + }, + { + "epoch": 0.18, + "learning_rate": 9.410599597429937e-06, + "loss": 0.5209, + "step": 1351 + }, + { + "epoch": 0.18, + "learning_rate": 9.409574267540948e-06, + "loss": 0.5197, + "step": 1352 + }, + { + "epoch": 0.18, + "learning_rate": 9.40854810254459e-06, + "loss": 0.4986, + "step": 1353 + }, + { + "epoch": 0.18, + "learning_rate": 9.407521102635203e-06, + "loss": 0.4791, + "step": 1354 + }, + { + "epoch": 0.18, + "learning_rate": 9.406493268007284e-06, + "loss": 0.4961, + "step": 1355 + }, + { + "epoch": 0.18, + "learning_rate": 9.40546459885549e-06, + "loss": 0.5149, + "step": 1356 + }, + { + "epoch": 0.18, + "learning_rate": 9.404435095374636e-06, + "loss": 0.4844, + "step": 1357 + }, + { + "epoch": 0.18, + "learning_rate": 9.403404757759696e-06, + "loss": 0.4931, + "step": 1358 + }, + { + "epoch": 0.18, + "learning_rate": 9.402373586205795e-06, + "loss": 0.5225, + "step": 1359 + }, + { + "epoch": 0.18, + "learning_rate": 9.401341580908227e-06, + "loss": 0.5404, + "step": 1360 + }, + { + "epoch": 0.18, + "learning_rate": 9.400308742062438e-06, + "loss": 0.5105, + "step": 1361 + }, + { + "epoch": 0.18, + "learning_rate": 9.39927506986403e-06, + "loss": 0.4858, + "step": 1362 + }, + { + "epoch": 0.18, + "learning_rate": 9.398240564508766e-06, + "loss": 0.53, + "step": 1363 + }, + { + "epoch": 0.18, + "learning_rate": 9.397205226192565e-06, + "loss": 0.5078, + "step": 1364 + }, + { + "epoch": 0.18, + "learning_rate": 9.396169055111506e-06, + "loss": 0.5368, + "step": 1365 + }, + { + "epoch": 0.18, + "learning_rate": 9.395132051461824e-06, + "loss": 0.5219, + "step": 1366 + }, + { + "epoch": 0.18, + "learning_rate": 9.39409421543991e-06, + "loss": 0.5235, + "step": 1367 + }, + { + "epoch": 0.18, + "learning_rate": 9.393055547242317e-06, + "loss": 0.5133, + "step": 1368 + }, + { + "epoch": 0.18, + "learning_rate": 9.392016047065753e-06, + "loss": 0.4744, + "step": 1369 + }, + { + "epoch": 0.18, + "learning_rate": 9.390975715107083e-06, + "loss": 0.4867, + "step": 1370 + }, + { + "epoch": 0.18, + "learning_rate": 9.38993455156333e-06, + "loss": 0.5134, + "step": 1371 + }, + { + "epoch": 0.18, + "learning_rate": 9.388892556631675e-06, + "loss": 0.4798, + "step": 1372 + }, + { + "epoch": 0.18, + "learning_rate": 9.387849730509458e-06, + "loss": 0.5035, + "step": 1373 + }, + { + "epoch": 0.18, + "learning_rate": 9.386806073394171e-06, + "loss": 0.4922, + "step": 1374 + }, + { + "epoch": 0.18, + "learning_rate": 9.38576158548347e-06, + "loss": 0.5045, + "step": 1375 + }, + { + "epoch": 0.18, + "learning_rate": 9.384716266975165e-06, + "loss": 0.5366, + "step": 1376 + }, + { + "epoch": 0.19, + "learning_rate": 9.383670118067224e-06, + "loss": 0.473, + "step": 1377 + }, + { + "epoch": 0.19, + "learning_rate": 9.382623138957771e-06, + "loss": 0.4988, + "step": 1378 + }, + { + "epoch": 0.19, + "learning_rate": 9.381575329845087e-06, + "loss": 0.459, + "step": 1379 + }, + { + "epoch": 0.19, + "learning_rate": 9.380526690927613e-06, + "loss": 0.5133, + "step": 1380 + }, + { + "epoch": 0.19, + "learning_rate": 9.379477222403946e-06, + "loss": 0.5259, + "step": 1381 + }, + { + "epoch": 0.19, + "learning_rate": 9.378426924472839e-06, + "loss": 0.4836, + "step": 1382 + }, + { + "epoch": 0.19, + "learning_rate": 9.377375797333202e-06, + "loss": 0.5157, + "step": 1383 + }, + { + "epoch": 0.19, + "learning_rate": 9.376323841184103e-06, + "loss": 0.486, + "step": 1384 + }, + { + "epoch": 0.19, + "learning_rate": 9.375271056224769e-06, + "loss": 0.5066, + "step": 1385 + }, + { + "epoch": 0.19, + "learning_rate": 9.374217442654579e-06, + "loss": 0.4913, + "step": 1386 + }, + { + "epoch": 0.19, + "learning_rate": 9.373163000673072e-06, + "loss": 0.5136, + "step": 1387 + }, + { + "epoch": 0.19, + "learning_rate": 9.372107730479944e-06, + "loss": 0.4952, + "step": 1388 + }, + { + "epoch": 0.19, + "learning_rate": 9.371051632275048e-06, + "loss": 0.5012, + "step": 1389 + }, + { + "epoch": 0.19, + "learning_rate": 9.369994706258393e-06, + "loss": 0.5226, + "step": 1390 + }, + { + "epoch": 0.19, + "learning_rate": 9.36893695263014e-06, + "loss": 0.5046, + "step": 1391 + }, + { + "epoch": 0.19, + "learning_rate": 9.367878371590622e-06, + "loss": 0.5218, + "step": 1392 + }, + { + "epoch": 0.19, + "learning_rate": 9.36681896334031e-06, + "loss": 0.4892, + "step": 1393 + }, + { + "epoch": 0.19, + "learning_rate": 9.365758728079844e-06, + "loss": 0.5025, + "step": 1394 + }, + { + "epoch": 0.19, + "learning_rate": 9.364697666010013e-06, + "loss": 0.4728, + "step": 1395 + }, + { + "epoch": 0.19, + "learning_rate": 9.36363577733177e-06, + "loss": 0.5159, + "step": 1396 + }, + { + "epoch": 0.19, + "learning_rate": 9.36257306224622e-06, + "loss": 0.4756, + "step": 1397 + }, + { + "epoch": 0.19, + "learning_rate": 9.361509520954625e-06, + "loss": 0.527, + "step": 1398 + }, + { + "epoch": 0.19, + "learning_rate": 9.360445153658405e-06, + "loss": 0.5373, + "step": 1399 + }, + { + "epoch": 0.19, + "learning_rate": 9.35937996055913e-06, + "loss": 0.5354, + "step": 1400 + }, + { + "epoch": 0.19, + "learning_rate": 9.358313941858537e-06, + "loss": 0.5164, + "step": 1401 + }, + { + "epoch": 0.19, + "learning_rate": 9.357247097758515e-06, + "loss": 0.5287, + "step": 1402 + }, + { + "epoch": 0.19, + "learning_rate": 9.356179428461103e-06, + "loss": 0.4991, + "step": 1403 + }, + { + "epoch": 0.19, + "learning_rate": 9.355110934168506e-06, + "loss": 0.5296, + "step": 1404 + }, + { + "epoch": 0.19, + "learning_rate": 9.354041615083077e-06, + "loss": 0.5079, + "step": 1405 + }, + { + "epoch": 0.19, + "learning_rate": 9.352971471407333e-06, + "loss": 0.5157, + "step": 1406 + }, + { + "epoch": 0.19, + "learning_rate": 9.351900503343941e-06, + "loss": 0.516, + "step": 1407 + }, + { + "epoch": 0.19, + "learning_rate": 9.350828711095728e-06, + "loss": 0.4996, + "step": 1408 + }, + { + "epoch": 0.19, + "learning_rate": 9.349756094865672e-06, + "loss": 0.5598, + "step": 1409 + }, + { + "epoch": 0.19, + "learning_rate": 9.348682654856913e-06, + "loss": 0.472, + "step": 1410 + }, + { + "epoch": 0.19, + "learning_rate": 9.347608391272745e-06, + "loss": 0.498, + "step": 1411 + }, + { + "epoch": 0.19, + "learning_rate": 9.346533304316617e-06, + "loss": 0.5285, + "step": 1412 + }, + { + "epoch": 0.19, + "learning_rate": 9.345457394192132e-06, + "loss": 0.515, + "step": 1413 + }, + { + "epoch": 0.19, + "learning_rate": 9.344380661103056e-06, + "loss": 0.5196, + "step": 1414 + }, + { + "epoch": 0.19, + "learning_rate": 9.3433031052533e-06, + "loss": 0.4919, + "step": 1415 + }, + { + "epoch": 0.19, + "learning_rate": 9.342224726846943e-06, + "loss": 0.5178, + "step": 1416 + }, + { + "epoch": 0.19, + "learning_rate": 9.34114552608821e-06, + "loss": 0.4903, + "step": 1417 + }, + { + "epoch": 0.19, + "learning_rate": 9.340065503181487e-06, + "loss": 0.5261, + "step": 1418 + }, + { + "epoch": 0.19, + "learning_rate": 9.338984658331314e-06, + "loss": 0.5301, + "step": 1419 + }, + { + "epoch": 0.19, + "learning_rate": 9.337902991742385e-06, + "loss": 0.5102, + "step": 1420 + }, + { + "epoch": 0.19, + "learning_rate": 9.336820503619554e-06, + "loss": 0.4877, + "step": 1421 + }, + { + "epoch": 0.19, + "learning_rate": 9.335737194167826e-06, + "loss": 0.4939, + "step": 1422 + }, + { + "epoch": 0.19, + "learning_rate": 9.334653063592366e-06, + "loss": 0.491, + "step": 1423 + }, + { + "epoch": 0.19, + "learning_rate": 9.33356811209849e-06, + "loss": 0.5088, + "step": 1424 + }, + { + "epoch": 0.19, + "learning_rate": 9.332482339891674e-06, + "loss": 0.5166, + "step": 1425 + }, + { + "epoch": 0.19, + "learning_rate": 9.331395747177542e-06, + "loss": 0.5036, + "step": 1426 + }, + { + "epoch": 0.19, + "learning_rate": 9.330308334161883e-06, + "loss": 0.4912, + "step": 1427 + }, + { + "epoch": 0.19, + "learning_rate": 9.329220101050636e-06, + "loss": 0.5181, + "step": 1428 + }, + { + "epoch": 0.19, + "learning_rate": 9.328131048049895e-06, + "loss": 0.4983, + "step": 1429 + }, + { + "epoch": 0.19, + "learning_rate": 9.327041175365911e-06, + "loss": 0.5394, + "step": 1430 + }, + { + "epoch": 0.19, + "learning_rate": 9.32595048320509e-06, + "loss": 0.4872, + "step": 1431 + }, + { + "epoch": 0.19, + "learning_rate": 9.324858971773991e-06, + "loss": 0.4952, + "step": 1432 + }, + { + "epoch": 0.19, + "learning_rate": 9.323766641279333e-06, + "loss": 0.4749, + "step": 1433 + }, + { + "epoch": 0.19, + "learning_rate": 9.322673491927983e-06, + "loss": 0.5093, + "step": 1434 + }, + { + "epoch": 0.19, + "learning_rate": 9.321579523926971e-06, + "loss": 0.4944, + "step": 1435 + }, + { + "epoch": 0.19, + "learning_rate": 9.320484737483475e-06, + "loss": 0.506, + "step": 1436 + }, + { + "epoch": 0.19, + "learning_rate": 9.319389132804835e-06, + "loss": 0.4863, + "step": 1437 + }, + { + "epoch": 0.19, + "learning_rate": 9.318292710098538e-06, + "loss": 0.5148, + "step": 1438 + }, + { + "epoch": 0.19, + "learning_rate": 9.31719546957223e-06, + "loss": 0.4637, + "step": 1439 + }, + { + "epoch": 0.19, + "learning_rate": 9.316097411433717e-06, + "loss": 0.5011, + "step": 1440 + }, + { + "epoch": 0.19, + "learning_rate": 9.31499853589095e-06, + "loss": 0.4876, + "step": 1441 + }, + { + "epoch": 0.19, + "learning_rate": 9.31389884315204e-06, + "loss": 0.4985, + "step": 1442 + }, + { + "epoch": 0.19, + "learning_rate": 9.312798333425256e-06, + "loss": 0.5158, + "step": 1443 + }, + { + "epoch": 0.19, + "learning_rate": 9.311697006919013e-06, + "loss": 0.5149, + "step": 1444 + }, + { + "epoch": 0.19, + "learning_rate": 9.310594863841891e-06, + "loss": 0.4611, + "step": 1445 + }, + { + "epoch": 0.19, + "learning_rate": 9.309491904402614e-06, + "loss": 0.482, + "step": 1446 + }, + { + "epoch": 0.19, + "learning_rate": 9.308388128810072e-06, + "loss": 0.5145, + "step": 1447 + }, + { + "epoch": 0.19, + "learning_rate": 9.307283537273297e-06, + "loss": 0.4787, + "step": 1448 + }, + { + "epoch": 0.19, + "learning_rate": 9.306178130001486e-06, + "loss": 0.497, + "step": 1449 + }, + { + "epoch": 0.19, + "learning_rate": 9.305071907203987e-06, + "loss": 0.4879, + "step": 1450 + }, + { + "epoch": 0.19, + "learning_rate": 9.303964869090301e-06, + "loss": 0.4656, + "step": 1451 + }, + { + "epoch": 0.2, + "learning_rate": 9.302857015870083e-06, + "loss": 0.5128, + "step": 1452 + }, + { + "epoch": 0.2, + "learning_rate": 9.301748347753147e-06, + "loss": 0.489, + "step": 1453 + }, + { + "epoch": 0.2, + "learning_rate": 9.300638864949455e-06, + "loss": 0.4901, + "step": 1454 + }, + { + "epoch": 0.2, + "learning_rate": 9.29952856766913e-06, + "loss": 0.5265, + "step": 1455 + }, + { + "epoch": 0.2, + "learning_rate": 9.298417456122442e-06, + "loss": 0.481, + "step": 1456 + }, + { + "epoch": 0.2, + "learning_rate": 9.297305530519818e-06, + "loss": 0.5169, + "step": 1457 + }, + { + "epoch": 0.2, + "learning_rate": 9.296192791071846e-06, + "loss": 0.5074, + "step": 1458 + }, + { + "epoch": 0.2, + "learning_rate": 9.295079237989258e-06, + "loss": 0.4891, + "step": 1459 + }, + { + "epoch": 0.2, + "learning_rate": 9.293964871482944e-06, + "loss": 0.5274, + "step": 1460 + }, + { + "epoch": 0.2, + "learning_rate": 9.292849691763952e-06, + "loss": 0.4639, + "step": 1461 + }, + { + "epoch": 0.2, + "learning_rate": 9.291733699043476e-06, + "loss": 0.4921, + "step": 1462 + }, + { + "epoch": 0.2, + "learning_rate": 9.290616893532868e-06, + "loss": 0.4692, + "step": 1463 + }, + { + "epoch": 0.2, + "learning_rate": 9.28949927544364e-06, + "loss": 0.514, + "step": 1464 + }, + { + "epoch": 0.2, + "learning_rate": 9.288380844987445e-06, + "loss": 0.4968, + "step": 1465 + }, + { + "epoch": 0.2, + "learning_rate": 9.287261602376102e-06, + "loss": 0.5085, + "step": 1466 + }, + { + "epoch": 0.2, + "learning_rate": 9.286141547821577e-06, + "loss": 0.5311, + "step": 1467 + }, + { + "epoch": 0.2, + "learning_rate": 9.28502068153599e-06, + "loss": 0.4692, + "step": 1468 + }, + { + "epoch": 0.2, + "learning_rate": 9.28389900373162e-06, + "loss": 0.4628, + "step": 1469 + }, + { + "epoch": 0.2, + "learning_rate": 9.282776514620894e-06, + "loss": 0.4677, + "step": 1470 + }, + { + "epoch": 0.2, + "learning_rate": 9.281653214416395e-06, + "loss": 0.4882, + "step": 1471 + }, + { + "epoch": 0.2, + "learning_rate": 9.280529103330857e-06, + "loss": 0.5136, + "step": 1472 + }, + { + "epoch": 0.2, + "learning_rate": 9.279404181577174e-06, + "loss": 0.4966, + "step": 1473 + }, + { + "epoch": 0.2, + "learning_rate": 9.278278449368387e-06, + "loss": 0.4602, + "step": 1474 + }, + { + "epoch": 0.2, + "learning_rate": 9.277151906917691e-06, + "loss": 0.4922, + "step": 1475 + }, + { + "epoch": 0.2, + "learning_rate": 9.27602455443844e-06, + "loss": 0.5106, + "step": 1476 + }, + { + "epoch": 0.2, + "learning_rate": 9.274896392144134e-06, + "loss": 0.4822, + "step": 1477 + }, + { + "epoch": 0.2, + "learning_rate": 9.273767420248435e-06, + "loss": 0.4944, + "step": 1478 + }, + { + "epoch": 0.2, + "learning_rate": 9.272637638965148e-06, + "loss": 0.504, + "step": 1479 + }, + { + "epoch": 0.2, + "learning_rate": 9.271507048508239e-06, + "loss": 0.4977, + "step": 1480 + }, + { + "epoch": 0.2, + "learning_rate": 9.270375649091825e-06, + "loss": 0.51, + "step": 1481 + }, + { + "epoch": 0.2, + "learning_rate": 9.269243440930177e-06, + "loss": 0.4882, + "step": 1482 + }, + { + "epoch": 0.2, + "learning_rate": 9.268110424237716e-06, + "loss": 0.5383, + "step": 1483 + }, + { + "epoch": 0.2, + "learning_rate": 9.26697659922902e-06, + "loss": 0.5345, + "step": 1484 + }, + { + "epoch": 0.2, + "learning_rate": 9.265841966118818e-06, + "loss": 0.5261, + "step": 1485 + }, + { + "epoch": 0.2, + "learning_rate": 9.264706525121993e-06, + "loss": 0.5279, + "step": 1486 + }, + { + "epoch": 0.2, + "learning_rate": 9.263570276453582e-06, + "loss": 0.5218, + "step": 1487 + }, + { + "epoch": 0.2, + "learning_rate": 9.262433220328768e-06, + "loss": 0.5107, + "step": 1488 + }, + { + "epoch": 0.2, + "learning_rate": 9.2612953569629e-06, + "loss": 0.4963, + "step": 1489 + }, + { + "epoch": 0.2, + "learning_rate": 9.260156686571466e-06, + "loss": 0.4876, + "step": 1490 + }, + { + "epoch": 0.2, + "learning_rate": 9.259017209370116e-06, + "loss": 0.5137, + "step": 1491 + }, + { + "epoch": 0.2, + "learning_rate": 9.257876925574649e-06, + "loss": 0.5061, + "step": 1492 + }, + { + "epoch": 0.2, + "learning_rate": 9.256735835401021e-06, + "loss": 0.4645, + "step": 1493 + }, + { + "epoch": 0.2, + "learning_rate": 9.255593939065331e-06, + "loss": 0.506, + "step": 1494 + }, + { + "epoch": 0.2, + "learning_rate": 9.254451236783844e-06, + "loss": 0.5633, + "step": 1495 + }, + { + "epoch": 0.2, + "learning_rate": 9.253307728772964e-06, + "loss": 0.4635, + "step": 1496 + }, + { + "epoch": 0.2, + "learning_rate": 9.25216341524926e-06, + "loss": 0.5111, + "step": 1497 + }, + { + "epoch": 0.2, + "learning_rate": 9.251018296429443e-06, + "loss": 0.5159, + "step": 1498 + }, + { + "epoch": 0.2, + "learning_rate": 9.249872372530387e-06, + "loss": 0.4793, + "step": 1499 + }, + { + "epoch": 0.2, + "learning_rate": 9.248725643769108e-06, + "loss": 0.4935, + "step": 1500 + }, + { + "epoch": 0.2, + "learning_rate": 9.24757811036278e-06, + "loss": 0.4805, + "step": 1501 + }, + { + "epoch": 0.2, + "learning_rate": 9.246429772528732e-06, + "loss": 0.5018, + "step": 1502 + }, + { + "epoch": 0.2, + "learning_rate": 9.245280630484439e-06, + "loss": 0.5255, + "step": 1503 + }, + { + "epoch": 0.2, + "learning_rate": 9.244130684447532e-06, + "loss": 0.4977, + "step": 1504 + }, + { + "epoch": 0.2, + "learning_rate": 9.242979934635792e-06, + "loss": 0.5235, + "step": 1505 + }, + { + "epoch": 0.2, + "learning_rate": 9.241828381267156e-06, + "loss": 0.4574, + "step": 1506 + }, + { + "epoch": 0.2, + "learning_rate": 9.240676024559712e-06, + "loss": 0.4518, + "step": 1507 + }, + { + "epoch": 0.2, + "learning_rate": 9.239522864731696e-06, + "loss": 0.505, + "step": 1508 + }, + { + "epoch": 0.2, + "learning_rate": 9.2383689020015e-06, + "loss": 0.5248, + "step": 1509 + }, + { + "epoch": 0.2, + "learning_rate": 9.23721413658767e-06, + "loss": 0.521, + "step": 1510 + }, + { + "epoch": 0.2, + "learning_rate": 9.236058568708896e-06, + "loss": 0.5078, + "step": 1511 + }, + { + "epoch": 0.2, + "learning_rate": 9.234902198584031e-06, + "loss": 0.522, + "step": 1512 + }, + { + "epoch": 0.2, + "learning_rate": 9.23374502643207e-06, + "loss": 0.4914, + "step": 1513 + }, + { + "epoch": 0.2, + "learning_rate": 9.232587052472166e-06, + "loss": 0.467, + "step": 1514 + }, + { + "epoch": 0.2, + "learning_rate": 9.231428276923622e-06, + "loss": 0.495, + "step": 1515 + }, + { + "epoch": 0.2, + "learning_rate": 9.230268700005893e-06, + "loss": 0.4858, + "step": 1516 + }, + { + "epoch": 0.2, + "learning_rate": 9.229108321938585e-06, + "loss": 0.5448, + "step": 1517 + }, + { + "epoch": 0.2, + "learning_rate": 9.227947142941454e-06, + "loss": 0.4823, + "step": 1518 + }, + { + "epoch": 0.2, + "learning_rate": 9.226785163234413e-06, + "loss": 0.5011, + "step": 1519 + }, + { + "epoch": 0.2, + "learning_rate": 9.225622383037523e-06, + "loss": 0.5264, + "step": 1520 + }, + { + "epoch": 0.2, + "learning_rate": 9.224458802570998e-06, + "loss": 0.5074, + "step": 1521 + }, + { + "epoch": 0.2, + "learning_rate": 9.2232944220552e-06, + "loss": 0.5203, + "step": 1522 + }, + { + "epoch": 0.2, + "learning_rate": 9.222129241710647e-06, + "loss": 0.4701, + "step": 1523 + }, + { + "epoch": 0.2, + "learning_rate": 9.220963261758006e-06, + "loss": 0.527, + "step": 1524 + }, + { + "epoch": 0.2, + "learning_rate": 9.219796482418098e-06, + "loss": 0.5117, + "step": 1525 + }, + { + "epoch": 0.21, + "learning_rate": 9.218628903911892e-06, + "loss": 0.5457, + "step": 1526 + }, + { + "epoch": 0.21, + "learning_rate": 9.21746052646051e-06, + "loss": 0.4999, + "step": 1527 + }, + { + "epoch": 0.21, + "learning_rate": 9.216291350285224e-06, + "loss": 0.5099, + "step": 1528 + }, + { + "epoch": 0.21, + "learning_rate": 9.21512137560746e-06, + "loss": 0.5067, + "step": 1529 + }, + { + "epoch": 0.21, + "learning_rate": 9.213950602648795e-06, + "loss": 0.478, + "step": 1530 + }, + { + "epoch": 0.21, + "learning_rate": 9.212779031630953e-06, + "loss": 0.4721, + "step": 1531 + }, + { + "epoch": 0.21, + "learning_rate": 9.211606662775813e-06, + "loss": 0.4935, + "step": 1532 + }, + { + "epoch": 0.21, + "learning_rate": 9.210433496305406e-06, + "loss": 0.4756, + "step": 1533 + }, + { + "epoch": 0.21, + "learning_rate": 9.20925953244191e-06, + "loss": 0.5099, + "step": 1534 + }, + { + "epoch": 0.21, + "learning_rate": 9.208084771407656e-06, + "loss": 0.4829, + "step": 1535 + }, + { + "epoch": 0.21, + "learning_rate": 9.206909213425128e-06, + "loss": 0.4859, + "step": 1536 + }, + { + "epoch": 0.21, + "learning_rate": 9.205732858716957e-06, + "loss": 0.4932, + "step": 1537 + }, + { + "epoch": 0.21, + "learning_rate": 9.20455570750593e-06, + "loss": 0.5187, + "step": 1538 + }, + { + "epoch": 0.21, + "learning_rate": 9.203377760014977e-06, + "loss": 0.5117, + "step": 1539 + }, + { + "epoch": 0.21, + "learning_rate": 9.202199016467188e-06, + "loss": 0.5204, + "step": 1540 + }, + { + "epoch": 0.21, + "learning_rate": 9.201019477085798e-06, + "loss": 0.5039, + "step": 1541 + }, + { + "epoch": 0.21, + "learning_rate": 9.199839142094193e-06, + "loss": 0.5127, + "step": 1542 + }, + { + "epoch": 0.21, + "learning_rate": 9.198658011715913e-06, + "loss": 0.4978, + "step": 1543 + }, + { + "epoch": 0.21, + "learning_rate": 9.197476086174644e-06, + "loss": 0.4997, + "step": 1544 + }, + { + "epoch": 0.21, + "learning_rate": 9.196293365694226e-06, + "loss": 0.4802, + "step": 1545 + }, + { + "epoch": 0.21, + "learning_rate": 9.19510985049865e-06, + "loss": 0.5042, + "step": 1546 + }, + { + "epoch": 0.21, + "learning_rate": 9.193925540812055e-06, + "loss": 0.5218, + "step": 1547 + }, + { + "epoch": 0.21, + "learning_rate": 9.192740436858729e-06, + "loss": 0.4848, + "step": 1548 + }, + { + "epoch": 0.21, + "learning_rate": 9.191554538863116e-06, + "loss": 0.4776, + "step": 1549 + }, + { + "epoch": 0.21, + "learning_rate": 9.190367847049809e-06, + "loss": 0.5223, + "step": 1550 + }, + { + "epoch": 0.21, + "learning_rate": 9.189180361643546e-06, + "loss": 0.5007, + "step": 1551 + }, + { + "epoch": 0.21, + "learning_rate": 9.18799208286922e-06, + "loss": 0.4855, + "step": 1552 + }, + { + "epoch": 0.21, + "learning_rate": 9.186803010951873e-06, + "loss": 0.5193, + "step": 1553 + }, + { + "epoch": 0.21, + "learning_rate": 9.185613146116698e-06, + "loss": 0.4692, + "step": 1554 + }, + { + "epoch": 0.21, + "learning_rate": 9.184422488589038e-06, + "loss": 0.443, + "step": 1555 + }, + { + "epoch": 0.21, + "learning_rate": 9.183231038594384e-06, + "loss": 0.4968, + "step": 1556 + }, + { + "epoch": 0.21, + "learning_rate": 9.182038796358381e-06, + "loss": 0.4751, + "step": 1557 + }, + { + "epoch": 0.21, + "learning_rate": 9.180845762106822e-06, + "loss": 0.5048, + "step": 1558 + }, + { + "epoch": 0.21, + "learning_rate": 9.179651936065646e-06, + "loss": 0.4811, + "step": 1559 + }, + { + "epoch": 0.21, + "learning_rate": 9.17845731846095e-06, + "loss": 0.4722, + "step": 1560 + }, + { + "epoch": 0.21, + "learning_rate": 9.177261909518975e-06, + "loss": 0.4921, + "step": 1561 + }, + { + "epoch": 0.21, + "learning_rate": 9.176065709466114e-06, + "loss": 0.4894, + "step": 1562 + }, + { + "epoch": 0.21, + "learning_rate": 9.174868718528908e-06, + "loss": 0.4755, + "step": 1563 + }, + { + "epoch": 0.21, + "learning_rate": 9.17367093693405e-06, + "loss": 0.5286, + "step": 1564 + }, + { + "epoch": 0.21, + "learning_rate": 9.172472364908384e-06, + "loss": 0.4909, + "step": 1565 + }, + { + "epoch": 0.21, + "learning_rate": 9.171273002678898e-06, + "loss": 0.4756, + "step": 1566 + }, + { + "epoch": 0.21, + "learning_rate": 9.170072850472737e-06, + "loss": 0.5229, + "step": 1567 + }, + { + "epoch": 0.21, + "learning_rate": 9.168871908517189e-06, + "loss": 0.4899, + "step": 1568 + }, + { + "epoch": 0.21, + "learning_rate": 9.167670177039693e-06, + "loss": 0.5216, + "step": 1569 + }, + { + "epoch": 0.21, + "learning_rate": 9.166467656267845e-06, + "loss": 0.5073, + "step": 1570 + }, + { + "epoch": 0.21, + "learning_rate": 9.165264346429379e-06, + "loss": 0.5027, + "step": 1571 + }, + { + "epoch": 0.21, + "learning_rate": 9.164060247752185e-06, + "loss": 0.4966, + "step": 1572 + }, + { + "epoch": 0.21, + "learning_rate": 9.162855360464302e-06, + "loss": 0.4655, + "step": 1573 + }, + { + "epoch": 0.21, + "learning_rate": 9.161649684793918e-06, + "loss": 0.5001, + "step": 1574 + }, + { + "epoch": 0.21, + "learning_rate": 9.160443220969368e-06, + "loss": 0.4736, + "step": 1575 + }, + { + "epoch": 0.21, + "learning_rate": 9.159235969219142e-06, + "loss": 0.448, + "step": 1576 + }, + { + "epoch": 0.21, + "learning_rate": 9.158027929771871e-06, + "loss": 0.4776, + "step": 1577 + }, + { + "epoch": 0.21, + "learning_rate": 9.156819102856343e-06, + "loss": 0.4872, + "step": 1578 + }, + { + "epoch": 0.21, + "learning_rate": 9.155609488701489e-06, + "loss": 0.5203, + "step": 1579 + }, + { + "epoch": 0.21, + "learning_rate": 9.154399087536394e-06, + "loss": 0.4931, + "step": 1580 + }, + { + "epoch": 0.21, + "learning_rate": 9.15318789959029e-06, + "loss": 0.5072, + "step": 1581 + }, + { + "epoch": 0.21, + "learning_rate": 9.151975925092556e-06, + "loss": 0.461, + "step": 1582 + }, + { + "epoch": 0.21, + "learning_rate": 9.150763164272722e-06, + "loss": 0.5367, + "step": 1583 + }, + { + "epoch": 0.21, + "learning_rate": 9.149549617360467e-06, + "loss": 0.4938, + "step": 1584 + }, + { + "epoch": 0.21, + "learning_rate": 9.14833528458562e-06, + "loss": 0.5434, + "step": 1585 + }, + { + "epoch": 0.21, + "learning_rate": 9.147120166178156e-06, + "loss": 0.5008, + "step": 1586 + }, + { + "epoch": 0.21, + "learning_rate": 9.145904262368202e-06, + "loss": 0.5027, + "step": 1587 + }, + { + "epoch": 0.21, + "learning_rate": 9.144687573386028e-06, + "loss": 0.5047, + "step": 1588 + }, + { + "epoch": 0.21, + "learning_rate": 9.143470099462062e-06, + "loss": 0.4985, + "step": 1589 + }, + { + "epoch": 0.21, + "learning_rate": 9.142251840826872e-06, + "loss": 0.5122, + "step": 1590 + }, + { + "epoch": 0.21, + "learning_rate": 9.14103279771118e-06, + "loss": 0.5031, + "step": 1591 + }, + { + "epoch": 0.21, + "learning_rate": 9.139812970345852e-06, + "loss": 0.5125, + "step": 1592 + }, + { + "epoch": 0.21, + "learning_rate": 9.138592358961905e-06, + "loss": 0.4786, + "step": 1593 + }, + { + "epoch": 0.21, + "learning_rate": 9.137370963790508e-06, + "loss": 0.4803, + "step": 1594 + }, + { + "epoch": 0.21, + "learning_rate": 9.13614878506297e-06, + "loss": 0.4852, + "step": 1595 + }, + { + "epoch": 0.21, + "learning_rate": 9.134925823010759e-06, + "loss": 0.5109, + "step": 1596 + }, + { + "epoch": 0.21, + "learning_rate": 9.133702077865481e-06, + "loss": 0.5196, + "step": 1597 + }, + { + "epoch": 0.21, + "learning_rate": 9.132477549858898e-06, + "loss": 0.4963, + "step": 1598 + }, + { + "epoch": 0.21, + "learning_rate": 9.131252239222916e-06, + "loss": 0.5095, + "step": 1599 + }, + { + "epoch": 0.21, + "learning_rate": 9.13002614618959e-06, + "loss": 0.4925, + "step": 1600 + }, + { + "epoch": 0.22, + "learning_rate": 9.128799270991126e-06, + "loss": 0.4617, + "step": 1601 + }, + { + "epoch": 0.22, + "learning_rate": 9.127571613859872e-06, + "loss": 0.4913, + "step": 1602 + }, + { + "epoch": 0.22, + "learning_rate": 9.126343175028332e-06, + "loss": 0.4759, + "step": 1603 + }, + { + "epoch": 0.22, + "learning_rate": 9.12511395472915e-06, + "loss": 0.534, + "step": 1604 + }, + { + "epoch": 0.22, + "learning_rate": 9.123883953195125e-06, + "loss": 0.4784, + "step": 1605 + }, + { + "epoch": 0.22, + "learning_rate": 9.122653170659198e-06, + "loss": 0.4856, + "step": 1606 + }, + { + "epoch": 0.22, + "learning_rate": 9.121421607354464e-06, + "loss": 0.5103, + "step": 1607 + }, + { + "epoch": 0.22, + "learning_rate": 9.12018926351416e-06, + "loss": 0.4992, + "step": 1608 + }, + { + "epoch": 0.22, + "learning_rate": 9.118956139371677e-06, + "loss": 0.4922, + "step": 1609 + }, + { + "epoch": 0.22, + "learning_rate": 9.117722235160547e-06, + "loss": 0.5207, + "step": 1610 + }, + { + "epoch": 0.22, + "learning_rate": 9.116487551114453e-06, + "loss": 0.5089, + "step": 1611 + }, + { + "epoch": 0.22, + "learning_rate": 9.115252087467229e-06, + "loss": 0.5355, + "step": 1612 + }, + { + "epoch": 0.22, + "learning_rate": 9.114015844452848e-06, + "loss": 0.4634, + "step": 1613 + }, + { + "epoch": 0.22, + "learning_rate": 9.11277882230544e-06, + "loss": 0.5045, + "step": 1614 + }, + { + "epoch": 0.22, + "learning_rate": 9.111541021259276e-06, + "loss": 0.4909, + "step": 1615 + }, + { + "epoch": 0.22, + "learning_rate": 9.110302441548779e-06, + "loss": 0.4663, + "step": 1616 + }, + { + "epoch": 0.22, + "learning_rate": 9.109063083408518e-06, + "loss": 0.4946, + "step": 1617 + }, + { + "epoch": 0.22, + "learning_rate": 9.107822947073206e-06, + "loss": 0.5325, + "step": 1618 + }, + { + "epoch": 0.22, + "learning_rate": 9.10658203277771e-06, + "loss": 0.4837, + "step": 1619 + }, + { + "epoch": 0.22, + "learning_rate": 9.105340340757037e-06, + "loss": 0.4907, + "step": 1620 + }, + { + "epoch": 0.22, + "learning_rate": 9.104097871246346e-06, + "loss": 0.5082, + "step": 1621 + }, + { + "epoch": 0.22, + "learning_rate": 9.102854624480944e-06, + "loss": 0.5006, + "step": 1622 + }, + { + "epoch": 0.22, + "learning_rate": 9.10161060069628e-06, + "loss": 0.4811, + "step": 1623 + }, + { + "epoch": 0.22, + "learning_rate": 9.100365800127957e-06, + "loss": 0.5095, + "step": 1624 + }, + { + "epoch": 0.22, + "learning_rate": 9.099120223011719e-06, + "loss": 0.511, + "step": 1625 + }, + { + "epoch": 0.22, + "learning_rate": 9.09787386958346e-06, + "loss": 0.5394, + "step": 1626 + }, + { + "epoch": 0.22, + "learning_rate": 9.096626740079223e-06, + "loss": 0.5327, + "step": 1627 + }, + { + "epoch": 0.22, + "learning_rate": 9.095378834735194e-06, + "loss": 0.5091, + "step": 1628 + }, + { + "epoch": 0.22, + "learning_rate": 9.094130153787705e-06, + "loss": 0.5087, + "step": 1629 + }, + { + "epoch": 0.22, + "learning_rate": 9.092880697473244e-06, + "loss": 0.5189, + "step": 1630 + }, + { + "epoch": 0.22, + "learning_rate": 9.091630466028432e-06, + "loss": 0.5153, + "step": 1631 + }, + { + "epoch": 0.22, + "learning_rate": 9.090379459690048e-06, + "loss": 0.5009, + "step": 1632 + }, + { + "epoch": 0.22, + "learning_rate": 9.089127678695015e-06, + "loss": 0.482, + "step": 1633 + }, + { + "epoch": 0.22, + "learning_rate": 9.087875123280399e-06, + "loss": 0.4943, + "step": 1634 + }, + { + "epoch": 0.22, + "learning_rate": 9.086621793683415e-06, + "loss": 0.4844, + "step": 1635 + }, + { + "epoch": 0.22, + "learning_rate": 9.085367690141426e-06, + "loss": 0.4907, + "step": 1636 + }, + { + "epoch": 0.22, + "learning_rate": 9.084112812891944e-06, + "loss": 0.5032, + "step": 1637 + }, + { + "epoch": 0.22, + "learning_rate": 9.082857162172616e-06, + "loss": 0.534, + "step": 1638 + }, + { + "epoch": 0.22, + "learning_rate": 9.08160073822125e-06, + "loss": 0.5107, + "step": 1639 + }, + { + "epoch": 0.22, + "learning_rate": 9.080343541275793e-06, + "loss": 0.4766, + "step": 1640 + }, + { + "epoch": 0.22, + "learning_rate": 9.079085571574336e-06, + "loss": 0.5157, + "step": 1641 + }, + { + "epoch": 0.22, + "learning_rate": 9.077826829355123e-06, + "loss": 0.4962, + "step": 1642 + }, + { + "epoch": 0.22, + "learning_rate": 9.07656731485654e-06, + "loss": 0.5078, + "step": 1643 + }, + { + "epoch": 0.22, + "learning_rate": 9.075307028317118e-06, + "loss": 0.5036, + "step": 1644 + }, + { + "epoch": 0.22, + "learning_rate": 9.074045969975539e-06, + "loss": 0.4834, + "step": 1645 + }, + { + "epoch": 0.22, + "learning_rate": 9.072784140070628e-06, + "loss": 0.5438, + "step": 1646 + }, + { + "epoch": 0.22, + "learning_rate": 9.071521538841356e-06, + "loss": 0.4699, + "step": 1647 + }, + { + "epoch": 0.22, + "learning_rate": 9.070258166526844e-06, + "loss": 0.5241, + "step": 1648 + }, + { + "epoch": 0.22, + "learning_rate": 9.06899402336635e-06, + "loss": 0.4893, + "step": 1649 + }, + { + "epoch": 0.22, + "learning_rate": 9.067729109599288e-06, + "loss": 0.5151, + "step": 1650 + }, + { + "epoch": 0.22, + "learning_rate": 9.066463425465213e-06, + "loss": 0.4851, + "step": 1651 + }, + { + "epoch": 0.22, + "learning_rate": 9.065196971203827e-06, + "loss": 0.4836, + "step": 1652 + }, + { + "epoch": 0.22, + "learning_rate": 9.063929747054976e-06, + "loss": 0.5112, + "step": 1653 + }, + { + "epoch": 0.22, + "learning_rate": 9.062661753258652e-06, + "loss": 0.4765, + "step": 1654 + }, + { + "epoch": 0.22, + "learning_rate": 9.061392990054998e-06, + "loss": 0.5212, + "step": 1655 + }, + { + "epoch": 0.22, + "learning_rate": 9.060123457684298e-06, + "loss": 0.5115, + "step": 1656 + }, + { + "epoch": 0.22, + "learning_rate": 9.05885315638698e-06, + "loss": 0.5195, + "step": 1657 + }, + { + "epoch": 0.22, + "learning_rate": 9.05758208640362e-06, + "loss": 0.5213, + "step": 1658 + }, + { + "epoch": 0.22, + "learning_rate": 9.056310247974944e-06, + "loss": 0.5073, + "step": 1659 + }, + { + "epoch": 0.22, + "learning_rate": 9.055037641341814e-06, + "loss": 0.5045, + "step": 1660 + }, + { + "epoch": 0.22, + "learning_rate": 9.053764266745247e-06, + "loss": 0.4895, + "step": 1661 + }, + { + "epoch": 0.22, + "learning_rate": 9.052490124426397e-06, + "loss": 0.517, + "step": 1662 + }, + { + "epoch": 0.22, + "learning_rate": 9.05121521462657e-06, + "loss": 0.4789, + "step": 1663 + }, + { + "epoch": 0.22, + "learning_rate": 9.049939537587213e-06, + "loss": 0.562, + "step": 1664 + }, + { + "epoch": 0.22, + "learning_rate": 9.048663093549923e-06, + "loss": 0.5177, + "step": 1665 + }, + { + "epoch": 0.22, + "learning_rate": 9.047385882756436e-06, + "loss": 0.5168, + "step": 1666 + }, + { + "epoch": 0.22, + "learning_rate": 9.04610790544864e-06, + "loss": 0.4718, + "step": 1667 + }, + { + "epoch": 0.22, + "learning_rate": 9.044829161868563e-06, + "loss": 0.5166, + "step": 1668 + }, + { + "epoch": 0.22, + "learning_rate": 9.043549652258378e-06, + "loss": 0.5035, + "step": 1669 + }, + { + "epoch": 0.22, + "learning_rate": 9.042269376860408e-06, + "loss": 0.5033, + "step": 1670 + }, + { + "epoch": 0.22, + "learning_rate": 9.040988335917118e-06, + "loss": 0.5325, + "step": 1671 + }, + { + "epoch": 0.22, + "learning_rate": 9.039706529671117e-06, + "loss": 0.5165, + "step": 1672 + }, + { + "epoch": 0.22, + "learning_rate": 9.03842395836516e-06, + "loss": 0.4823, + "step": 1673 + }, + { + "epoch": 0.22, + "learning_rate": 9.037140622242146e-06, + "loss": 0.547, + "step": 1674 + }, + { + "epoch": 0.23, + "learning_rate": 9.03585652154512e-06, + "loss": 0.4985, + "step": 1675 + }, + { + "epoch": 0.23, + "learning_rate": 9.034571656517272e-06, + "loss": 0.4775, + "step": 1676 + }, + { + "epoch": 0.23, + "learning_rate": 9.033286027401938e-06, + "loss": 0.4753, + "step": 1677 + }, + { + "epoch": 0.23, + "learning_rate": 9.031999634442592e-06, + "loss": 0.5382, + "step": 1678 + }, + { + "epoch": 0.23, + "learning_rate": 9.03071247788286e-06, + "loss": 0.4951, + "step": 1679 + }, + { + "epoch": 0.23, + "learning_rate": 9.029424557966514e-06, + "loss": 0.4852, + "step": 1680 + }, + { + "epoch": 0.23, + "learning_rate": 9.028135874937463e-06, + "loss": 0.4967, + "step": 1681 + }, + { + "epoch": 0.23, + "learning_rate": 9.026846429039763e-06, + "loss": 0.516, + "step": 1682 + }, + { + "epoch": 0.23, + "learning_rate": 9.025556220517618e-06, + "loss": 0.4923, + "step": 1683 + }, + { + "epoch": 0.23, + "learning_rate": 9.024265249615373e-06, + "loss": 0.5352, + "step": 1684 + }, + { + "epoch": 0.23, + "learning_rate": 9.02297351657752e-06, + "loss": 0.5086, + "step": 1685 + }, + { + "epoch": 0.23, + "learning_rate": 9.021681021648693e-06, + "loss": 0.4979, + "step": 1686 + }, + { + "epoch": 0.23, + "learning_rate": 9.020387765073672e-06, + "loss": 0.4776, + "step": 1687 + }, + { + "epoch": 0.23, + "learning_rate": 9.019093747097378e-06, + "loss": 0.5183, + "step": 1688 + }, + { + "epoch": 0.23, + "learning_rate": 9.017798967964883e-06, + "loss": 0.526, + "step": 1689 + }, + { + "epoch": 0.23, + "learning_rate": 9.016503427921395e-06, + "loss": 0.4755, + "step": 1690 + }, + { + "epoch": 0.23, + "learning_rate": 9.01520712721227e-06, + "loss": 0.4833, + "step": 1691 + }, + { + "epoch": 0.23, + "learning_rate": 9.013910066083011e-06, + "loss": 0.4785, + "step": 1692 + }, + { + "epoch": 0.23, + "learning_rate": 9.012612244779259e-06, + "loss": 0.4693, + "step": 1693 + }, + { + "epoch": 0.23, + "learning_rate": 9.011313663546802e-06, + "loss": 0.5092, + "step": 1694 + }, + { + "epoch": 0.23, + "learning_rate": 9.010014322631575e-06, + "loss": 0.4786, + "step": 1695 + }, + { + "epoch": 0.23, + "learning_rate": 9.008714222279649e-06, + "loss": 0.4975, + "step": 1696 + }, + { + "epoch": 0.23, + "learning_rate": 9.007413362737247e-06, + "loss": 0.5164, + "step": 1697 + }, + { + "epoch": 0.23, + "learning_rate": 9.006111744250732e-06, + "loss": 0.4582, + "step": 1698 + }, + { + "epoch": 0.23, + "learning_rate": 9.00480936706661e-06, + "loss": 0.5023, + "step": 1699 + }, + { + "epoch": 0.23, + "learning_rate": 9.003506231431533e-06, + "loss": 0.5174, + "step": 1700 + }, + { + "epoch": 0.23, + "learning_rate": 9.002202337592293e-06, + "loss": 0.4608, + "step": 1701 + }, + { + "epoch": 0.23, + "learning_rate": 9.00089768579583e-06, + "loss": 0.4645, + "step": 1702 + }, + { + "epoch": 0.23, + "learning_rate": 8.999592276289226e-06, + "loss": 0.4994, + "step": 1703 + }, + { + "epoch": 0.23, + "learning_rate": 8.998286109319707e-06, + "loss": 0.5031, + "step": 1704 + }, + { + "epoch": 0.23, + "learning_rate": 8.996979185134636e-06, + "loss": 0.4689, + "step": 1705 + }, + { + "epoch": 0.23, + "learning_rate": 8.99567150398153e-06, + "loss": 0.4717, + "step": 1706 + }, + { + "epoch": 0.23, + "learning_rate": 8.994363066108044e-06, + "loss": 0.5035, + "step": 1707 + }, + { + "epoch": 0.23, + "learning_rate": 8.993053871761973e-06, + "loss": 0.4529, + "step": 1708 + }, + { + "epoch": 0.23, + "learning_rate": 8.991743921191261e-06, + "loss": 0.5067, + "step": 1709 + }, + { + "epoch": 0.23, + "learning_rate": 8.990433214643995e-06, + "loss": 0.4944, + "step": 1710 + }, + { + "epoch": 0.23, + "learning_rate": 8.989121752368399e-06, + "loss": 0.5294, + "step": 1711 + }, + { + "epoch": 0.23, + "learning_rate": 8.987809534612848e-06, + "loss": 0.5041, + "step": 1712 + }, + { + "epoch": 0.23, + "learning_rate": 8.986496561625855e-06, + "loss": 0.5038, + "step": 1713 + }, + { + "epoch": 0.23, + "learning_rate": 8.985182833656077e-06, + "loss": 0.5036, + "step": 1714 + }, + { + "epoch": 0.23, + "learning_rate": 8.983868350952316e-06, + "loss": 0.4623, + "step": 1715 + }, + { + "epoch": 0.23, + "learning_rate": 8.982553113763512e-06, + "loss": 0.4727, + "step": 1716 + }, + { + "epoch": 0.23, + "learning_rate": 8.981237122338755e-06, + "loss": 0.5037, + "step": 1717 + }, + { + "epoch": 0.23, + "learning_rate": 8.979920376927273e-06, + "loss": 0.5044, + "step": 1718 + }, + { + "epoch": 0.23, + "learning_rate": 8.978602877778437e-06, + "loss": 0.4859, + "step": 1719 + }, + { + "epoch": 0.23, + "learning_rate": 8.977284625141763e-06, + "loss": 0.5286, + "step": 1720 + }, + { + "epoch": 0.23, + "learning_rate": 8.975965619266907e-06, + "loss": 0.5091, + "step": 1721 + }, + { + "epoch": 0.23, + "learning_rate": 8.974645860403667e-06, + "loss": 0.5122, + "step": 1722 + }, + { + "epoch": 0.23, + "learning_rate": 8.97332534880199e-06, + "loss": 0.4879, + "step": 1723 + }, + { + "epoch": 0.23, + "learning_rate": 8.972004084711959e-06, + "loss": 0.4987, + "step": 1724 + }, + { + "epoch": 0.23, + "learning_rate": 8.9706820683838e-06, + "loss": 0.5155, + "step": 1725 + }, + { + "epoch": 0.23, + "learning_rate": 8.969359300067888e-06, + "loss": 0.4834, + "step": 1726 + }, + { + "epoch": 0.23, + "learning_rate": 8.96803578001473e-06, + "loss": 0.4851, + "step": 1727 + }, + { + "epoch": 0.23, + "learning_rate": 8.966711508474983e-06, + "loss": 0.545, + "step": 1728 + }, + { + "epoch": 0.23, + "learning_rate": 8.965386485699445e-06, + "loss": 0.5005, + "step": 1729 + }, + { + "epoch": 0.23, + "learning_rate": 8.964060711939056e-06, + "loss": 0.5155, + "step": 1730 + }, + { + "epoch": 0.23, + "learning_rate": 8.962734187444894e-06, + "loss": 0.508, + "step": 1731 + }, + { + "epoch": 0.23, + "learning_rate": 8.961406912468189e-06, + "loss": 0.5151, + "step": 1732 + }, + { + "epoch": 0.23, + "learning_rate": 8.960078887260301e-06, + "loss": 0.4736, + "step": 1733 + }, + { + "epoch": 0.23, + "learning_rate": 8.958750112072741e-06, + "loss": 0.4903, + "step": 1734 + }, + { + "epoch": 0.23, + "learning_rate": 8.957420587157159e-06, + "loss": 0.486, + "step": 1735 + }, + { + "epoch": 0.23, + "learning_rate": 8.956090312765347e-06, + "loss": 0.5385, + "step": 1736 + }, + { + "epoch": 0.23, + "learning_rate": 8.954759289149239e-06, + "loss": 0.534, + "step": 1737 + }, + { + "epoch": 0.23, + "learning_rate": 8.95342751656091e-06, + "loss": 0.4956, + "step": 1738 + }, + { + "epoch": 0.23, + "learning_rate": 8.95209499525258e-06, + "loss": 0.5, + "step": 1739 + }, + { + "epoch": 0.23, + "learning_rate": 8.950761725476607e-06, + "loss": 0.4866, + "step": 1740 + }, + { + "epoch": 0.23, + "learning_rate": 8.949427707485492e-06, + "loss": 0.5164, + "step": 1741 + }, + { + "epoch": 0.23, + "learning_rate": 8.94809294153188e-06, + "loss": 0.5354, + "step": 1742 + }, + { + "epoch": 0.23, + "learning_rate": 8.946757427868554e-06, + "loss": 0.4984, + "step": 1743 + }, + { + "epoch": 0.23, + "learning_rate": 8.945421166748437e-06, + "loss": 0.4946, + "step": 1744 + }, + { + "epoch": 0.23, + "learning_rate": 8.944084158424605e-06, + "loss": 0.5029, + "step": 1745 + }, + { + "epoch": 0.23, + "learning_rate": 8.94274640315026e-06, + "loss": 0.4862, + "step": 1746 + }, + { + "epoch": 0.23, + "learning_rate": 8.941407901178757e-06, + "loss": 0.4835, + "step": 1747 + }, + { + "epoch": 0.23, + "learning_rate": 8.940068652763588e-06, + "loss": 0.493, + "step": 1748 + }, + { + "epoch": 0.23, + "learning_rate": 8.938728658158384e-06, + "loss": 0.5303, + "step": 1749 + }, + { + "epoch": 0.24, + "learning_rate": 8.937387917616922e-06, + "loss": 0.4944, + "step": 1750 + }, + { + "epoch": 0.24, + "learning_rate": 8.936046431393117e-06, + "loss": 0.5131, + "step": 1751 + }, + { + "epoch": 0.24, + "learning_rate": 8.934704199741028e-06, + "loss": 0.5299, + "step": 1752 + }, + { + "epoch": 0.24, + "learning_rate": 8.933361222914853e-06, + "loss": 0.5278, + "step": 1753 + }, + { + "epoch": 0.24, + "learning_rate": 8.93201750116893e-06, + "loss": 0.4859, + "step": 1754 + }, + { + "epoch": 0.24, + "learning_rate": 8.930673034757741e-06, + "loss": 0.5088, + "step": 1755 + }, + { + "epoch": 0.24, + "learning_rate": 8.929327823935909e-06, + "loss": 0.4984, + "step": 1756 + }, + { + "epoch": 0.24, + "learning_rate": 8.927981868958198e-06, + "loss": 0.4925, + "step": 1757 + }, + { + "epoch": 0.24, + "learning_rate": 8.926635170079506e-06, + "loss": 0.4761, + "step": 1758 + }, + { + "epoch": 0.24, + "learning_rate": 8.925287727554883e-06, + "loss": 0.4854, + "step": 1759 + }, + { + "epoch": 0.24, + "learning_rate": 8.92393954163951e-06, + "loss": 0.4778, + "step": 1760 + }, + { + "epoch": 0.24, + "learning_rate": 8.922590612588718e-06, + "loss": 0.5065, + "step": 1761 + }, + { + "epoch": 0.24, + "learning_rate": 8.921240940657972e-06, + "loss": 0.4927, + "step": 1762 + }, + { + "epoch": 0.24, + "learning_rate": 8.919890526102879e-06, + "loss": 0.4441, + "step": 1763 + }, + { + "epoch": 0.24, + "learning_rate": 8.918539369179186e-06, + "loss": 0.4983, + "step": 1764 + }, + { + "epoch": 0.24, + "learning_rate": 8.917187470142786e-06, + "loss": 0.4882, + "step": 1765 + }, + { + "epoch": 0.24, + "learning_rate": 8.915834829249706e-06, + "loss": 0.4953, + "step": 1766 + }, + { + "epoch": 0.24, + "learning_rate": 8.914481446756114e-06, + "loss": 0.4972, + "step": 1767 + }, + { + "epoch": 0.24, + "learning_rate": 8.913127322918323e-06, + "loss": 0.4904, + "step": 1768 + }, + { + "epoch": 0.24, + "learning_rate": 8.911772457992785e-06, + "loss": 0.4667, + "step": 1769 + }, + { + "epoch": 0.24, + "learning_rate": 8.910416852236088e-06, + "loss": 0.4798, + "step": 1770 + }, + { + "epoch": 0.24, + "learning_rate": 8.909060505904964e-06, + "loss": 0.4828, + "step": 1771 + }, + { + "epoch": 0.24, + "learning_rate": 8.907703419256287e-06, + "loss": 0.5276, + "step": 1772 + }, + { + "epoch": 0.24, + "learning_rate": 8.906345592547068e-06, + "loss": 0.5177, + "step": 1773 + }, + { + "epoch": 0.24, + "learning_rate": 8.904987026034457e-06, + "loss": 0.4829, + "step": 1774 + }, + { + "epoch": 0.24, + "learning_rate": 8.903627719975746e-06, + "loss": 0.4994, + "step": 1775 + }, + { + "epoch": 0.24, + "learning_rate": 8.90226767462837e-06, + "loss": 0.5017, + "step": 1776 + }, + { + "epoch": 0.24, + "learning_rate": 8.900906890249903e-06, + "loss": 0.4811, + "step": 1777 + }, + { + "epoch": 0.24, + "learning_rate": 8.89954536709805e-06, + "loss": 0.496, + "step": 1778 + }, + { + "epoch": 0.24, + "learning_rate": 8.89818310543067e-06, + "loss": 0.505, + "step": 1779 + }, + { + "epoch": 0.24, + "learning_rate": 8.896820105505752e-06, + "loss": 0.4579, + "step": 1780 + }, + { + "epoch": 0.24, + "learning_rate": 8.895456367581428e-06, + "loss": 0.4993, + "step": 1781 + }, + { + "epoch": 0.24, + "learning_rate": 8.894091891915968e-06, + "loss": 0.4969, + "step": 1782 + }, + { + "epoch": 0.24, + "learning_rate": 8.892726678767787e-06, + "loss": 0.4902, + "step": 1783 + }, + { + "epoch": 0.24, + "learning_rate": 8.891360728395432e-06, + "loss": 0.514, + "step": 1784 + }, + { + "epoch": 0.24, + "learning_rate": 8.889994041057598e-06, + "loss": 0.4813, + "step": 1785 + }, + { + "epoch": 0.24, + "learning_rate": 8.888626617013111e-06, + "loss": 0.5426, + "step": 1786 + }, + { + "epoch": 0.24, + "learning_rate": 8.887258456520942e-06, + "loss": 0.4949, + "step": 1787 + }, + { + "epoch": 0.24, + "learning_rate": 8.885889559840201e-06, + "loss": 0.4902, + "step": 1788 + }, + { + "epoch": 0.24, + "learning_rate": 8.884519927230135e-06, + "loss": 0.5204, + "step": 1789 + }, + { + "epoch": 0.24, + "learning_rate": 8.883149558950132e-06, + "loss": 0.4722, + "step": 1790 + }, + { + "epoch": 0.24, + "learning_rate": 8.881778455259721e-06, + "loss": 0.5192, + "step": 1791 + }, + { + "epoch": 0.24, + "learning_rate": 8.88040661641857e-06, + "loss": 0.4979, + "step": 1792 + }, + { + "epoch": 0.24, + "learning_rate": 8.87903404268648e-06, + "loss": 0.4866, + "step": 1793 + }, + { + "epoch": 0.24, + "learning_rate": 8.877660734323398e-06, + "loss": 0.499, + "step": 1794 + }, + { + "epoch": 0.24, + "learning_rate": 8.876286691589408e-06, + "loss": 0.4957, + "step": 1795 + }, + { + "epoch": 0.24, + "learning_rate": 8.874911914744734e-06, + "loss": 0.5041, + "step": 1796 + }, + { + "epoch": 0.24, + "learning_rate": 8.873536404049738e-06, + "loss": 0.5047, + "step": 1797 + }, + { + "epoch": 0.24, + "learning_rate": 8.87216015976492e-06, + "loss": 0.4984, + "step": 1798 + }, + { + "epoch": 0.24, + "learning_rate": 8.870783182150922e-06, + "loss": 0.4934, + "step": 1799 + }, + { + "epoch": 0.24, + "learning_rate": 8.86940547146852e-06, + "loss": 0.4861, + "step": 1800 + }, + { + "epoch": 0.24, + "learning_rate": 8.868027027978634e-06, + "loss": 0.5016, + "step": 1801 + }, + { + "epoch": 0.24, + "learning_rate": 8.86664785194232e-06, + "loss": 0.4904, + "step": 1802 + }, + { + "epoch": 0.24, + "learning_rate": 8.865267943620774e-06, + "loss": 0.4936, + "step": 1803 + }, + { + "epoch": 0.24, + "learning_rate": 8.86388730327533e-06, + "loss": 0.4932, + "step": 1804 + }, + { + "epoch": 0.24, + "learning_rate": 8.862505931167458e-06, + "loss": 0.5281, + "step": 1805 + }, + { + "epoch": 0.24, + "learning_rate": 8.861123827558772e-06, + "loss": 0.5197, + "step": 1806 + }, + { + "epoch": 0.24, + "learning_rate": 8.859740992711022e-06, + "loss": 0.5046, + "step": 1807 + }, + { + "epoch": 0.24, + "learning_rate": 8.858357426886093e-06, + "loss": 0.5213, + "step": 1808 + }, + { + "epoch": 0.24, + "learning_rate": 8.856973130346015e-06, + "loss": 0.4588, + "step": 1809 + }, + { + "epoch": 0.24, + "learning_rate": 8.855588103352952e-06, + "loss": 0.499, + "step": 1810 + }, + { + "epoch": 0.24, + "learning_rate": 8.854202346169207e-06, + "loss": 0.4803, + "step": 1811 + }, + { + "epoch": 0.24, + "learning_rate": 8.852815859057222e-06, + "loss": 0.5219, + "step": 1812 + }, + { + "epoch": 0.24, + "learning_rate": 8.851428642279576e-06, + "loss": 0.4963, + "step": 1813 + }, + { + "epoch": 0.24, + "learning_rate": 8.850040696098989e-06, + "loss": 0.4973, + "step": 1814 + }, + { + "epoch": 0.24, + "learning_rate": 8.848652020778315e-06, + "loss": 0.5068, + "step": 1815 + }, + { + "epoch": 0.24, + "learning_rate": 8.847262616580551e-06, + "loss": 0.5155, + "step": 1816 + }, + { + "epoch": 0.24, + "learning_rate": 8.845872483768827e-06, + "loss": 0.4747, + "step": 1817 + }, + { + "epoch": 0.24, + "learning_rate": 8.844481622606414e-06, + "loss": 0.4965, + "step": 1818 + }, + { + "epoch": 0.24, + "learning_rate": 8.843090033356721e-06, + "loss": 0.5044, + "step": 1819 + }, + { + "epoch": 0.24, + "learning_rate": 8.841697716283292e-06, + "loss": 0.499, + "step": 1820 + }, + { + "epoch": 0.24, + "learning_rate": 8.840304671649814e-06, + "loss": 0.4867, + "step": 1821 + }, + { + "epoch": 0.24, + "learning_rate": 8.838910899720108e-06, + "loss": 0.4875, + "step": 1822 + }, + { + "epoch": 0.24, + "learning_rate": 8.83751640075813e-06, + "loss": 0.4965, + "step": 1823 + }, + { + "epoch": 0.25, + "learning_rate": 8.836121175027984e-06, + "loss": 0.511, + "step": 1824 + }, + { + "epoch": 0.25, + "learning_rate": 8.834725222793899e-06, + "loss": 0.5114, + "step": 1825 + }, + { + "epoch": 0.25, + "learning_rate": 8.83332854432025e-06, + "loss": 0.5102, + "step": 1826 + }, + { + "epoch": 0.25, + "learning_rate": 8.831931139871547e-06, + "loss": 0.4854, + "step": 1827 + }, + { + "epoch": 0.25, + "learning_rate": 8.830533009712437e-06, + "loss": 0.4614, + "step": 1828 + }, + { + "epoch": 0.25, + "learning_rate": 8.829134154107704e-06, + "loss": 0.499, + "step": 1829 + }, + { + "epoch": 0.25, + "learning_rate": 8.827734573322272e-06, + "loss": 0.5159, + "step": 1830 + }, + { + "epoch": 0.25, + "learning_rate": 8.8263342676212e-06, + "loss": 0.4898, + "step": 1831 + }, + { + "epoch": 0.25, + "learning_rate": 8.824933237269684e-06, + "loss": 0.4739, + "step": 1832 + }, + { + "epoch": 0.25, + "learning_rate": 8.82353148253306e-06, + "loss": 0.5066, + "step": 1833 + }, + { + "epoch": 0.25, + "learning_rate": 8.822129003676798e-06, + "loss": 0.5079, + "step": 1834 + }, + { + "epoch": 0.25, + "learning_rate": 8.820725800966508e-06, + "loss": 0.4902, + "step": 1835 + }, + { + "epoch": 0.25, + "learning_rate": 8.819321874667932e-06, + "loss": 0.515, + "step": 1836 + }, + { + "epoch": 0.25, + "learning_rate": 8.817917225046956e-06, + "loss": 0.4814, + "step": 1837 + }, + { + "epoch": 0.25, + "learning_rate": 8.8165118523696e-06, + "loss": 0.5103, + "step": 1838 + }, + { + "epoch": 0.25, + "learning_rate": 8.81510575690202e-06, + "loss": 0.5055, + "step": 1839 + }, + { + "epoch": 0.25, + "learning_rate": 8.813698938910507e-06, + "loss": 0.4969, + "step": 1840 + }, + { + "epoch": 0.25, + "learning_rate": 8.812291398661494e-06, + "loss": 0.4925, + "step": 1841 + }, + { + "epoch": 0.25, + "learning_rate": 8.810883136421547e-06, + "loss": 0.4884, + "step": 1842 + }, + { + "epoch": 0.25, + "learning_rate": 8.809474152457369e-06, + "loss": 0.528, + "step": 1843 + }, + { + "epoch": 0.25, + "learning_rate": 8.808064447035803e-06, + "loss": 0.513, + "step": 1844 + }, + { + "epoch": 0.25, + "learning_rate": 8.806654020423822e-06, + "loss": 0.4787, + "step": 1845 + }, + { + "epoch": 0.25, + "learning_rate": 8.805242872888545e-06, + "loss": 0.4702, + "step": 1846 + }, + { + "epoch": 0.25, + "learning_rate": 8.803831004697216e-06, + "loss": 0.5181, + "step": 1847 + }, + { + "epoch": 0.25, + "learning_rate": 8.802418416117227e-06, + "loss": 0.4838, + "step": 1848 + }, + { + "epoch": 0.25, + "learning_rate": 8.801005107416098e-06, + "loss": 0.4704, + "step": 1849 + }, + { + "epoch": 0.25, + "learning_rate": 8.799591078861491e-06, + "loss": 0.4815, + "step": 1850 + }, + { + "epoch": 0.25, + "learning_rate": 8.798176330721201e-06, + "loss": 0.4961, + "step": 1851 + }, + { + "epoch": 0.25, + "learning_rate": 8.79676086326316e-06, + "loss": 0.5088, + "step": 1852 + }, + { + "epoch": 0.25, + "learning_rate": 8.795344676755436e-06, + "loss": 0.4741, + "step": 1853 + }, + { + "epoch": 0.25, + "learning_rate": 8.79392777146623e-06, + "loss": 0.4754, + "step": 1854 + }, + { + "epoch": 0.25, + "learning_rate": 8.79251014766389e-06, + "loss": 0.4844, + "step": 1855 + }, + { + "epoch": 0.25, + "learning_rate": 8.791091805616888e-06, + "loss": 0.5122, + "step": 1856 + }, + { + "epoch": 0.25, + "learning_rate": 8.789672745593838e-06, + "loss": 0.4995, + "step": 1857 + }, + { + "epoch": 0.25, + "learning_rate": 8.788252967863487e-06, + "loss": 0.496, + "step": 1858 + }, + { + "epoch": 0.25, + "learning_rate": 8.786832472694723e-06, + "loss": 0.5045, + "step": 1859 + }, + { + "epoch": 0.25, + "learning_rate": 8.785411260356565e-06, + "loss": 0.5069, + "step": 1860 + }, + { + "epoch": 0.25, + "learning_rate": 8.783989331118167e-06, + "loss": 0.5241, + "step": 1861 + }, + { + "epoch": 0.25, + "learning_rate": 8.782566685248824e-06, + "loss": 0.5283, + "step": 1862 + }, + { + "epoch": 0.25, + "learning_rate": 8.781143323017962e-06, + "loss": 0.4668, + "step": 1863 + }, + { + "epoch": 0.25, + "learning_rate": 8.779719244695145e-06, + "loss": 0.511, + "step": 1864 + }, + { + "epoch": 0.25, + "learning_rate": 8.778294450550076e-06, + "loss": 0.4982, + "step": 1865 + }, + { + "epoch": 0.25, + "learning_rate": 8.776868940852583e-06, + "loss": 0.5075, + "step": 1866 + }, + { + "epoch": 0.25, + "learning_rate": 8.77544271587264e-06, + "loss": 0.5093, + "step": 1867 + }, + { + "epoch": 0.25, + "learning_rate": 8.774015775880354e-06, + "loss": 0.47, + "step": 1868 + }, + { + "epoch": 0.25, + "learning_rate": 8.772588121145962e-06, + "loss": 0.5008, + "step": 1869 + }, + { + "epoch": 0.25, + "learning_rate": 8.771159751939844e-06, + "loss": 0.4989, + "step": 1870 + }, + { + "epoch": 0.25, + "learning_rate": 8.769730668532508e-06, + "loss": 0.5273, + "step": 1871 + }, + { + "epoch": 0.25, + "learning_rate": 8.768300871194607e-06, + "loss": 0.4798, + "step": 1872 + }, + { + "epoch": 0.25, + "learning_rate": 8.766870360196917e-06, + "loss": 0.5058, + "step": 1873 + }, + { + "epoch": 0.25, + "learning_rate": 8.765439135810358e-06, + "loss": 0.4884, + "step": 1874 + }, + { + "epoch": 0.25, + "learning_rate": 8.764007198305983e-06, + "loss": 0.4753, + "step": 1875 + }, + { + "epoch": 0.25, + "learning_rate": 8.762574547954979e-06, + "loss": 0.501, + "step": 1876 + }, + { + "epoch": 0.25, + "learning_rate": 8.76114118502867e-06, + "loss": 0.5073, + "step": 1877 + }, + { + "epoch": 0.25, + "learning_rate": 8.75970710979851e-06, + "loss": 0.5096, + "step": 1878 + }, + { + "epoch": 0.25, + "learning_rate": 8.758272322536095e-06, + "loss": 0.4837, + "step": 1879 + }, + { + "epoch": 0.25, + "learning_rate": 8.756836823513149e-06, + "loss": 0.4884, + "step": 1880 + }, + { + "epoch": 0.25, + "learning_rate": 8.755400613001534e-06, + "loss": 0.5146, + "step": 1881 + }, + { + "epoch": 0.25, + "learning_rate": 8.753963691273253e-06, + "loss": 0.4802, + "step": 1882 + }, + { + "epoch": 0.25, + "learning_rate": 8.75252605860043e-06, + "loss": 0.4658, + "step": 1883 + }, + { + "epoch": 0.25, + "learning_rate": 8.751087715255333e-06, + "loss": 0.503, + "step": 1884 + }, + { + "epoch": 0.25, + "learning_rate": 8.749648661510366e-06, + "loss": 0.483, + "step": 1885 + }, + { + "epoch": 0.25, + "learning_rate": 8.748208897638062e-06, + "loss": 0.502, + "step": 1886 + }, + { + "epoch": 0.25, + "learning_rate": 8.746768423911089e-06, + "loss": 0.4938, + "step": 1887 + }, + { + "epoch": 0.25, + "learning_rate": 8.745327240602254e-06, + "loss": 0.4769, + "step": 1888 + }, + { + "epoch": 0.25, + "learning_rate": 8.743885347984494e-06, + "loss": 0.5177, + "step": 1889 + }, + { + "epoch": 0.25, + "learning_rate": 8.742442746330882e-06, + "loss": 0.4703, + "step": 1890 + }, + { + "epoch": 0.25, + "learning_rate": 8.740999435914626e-06, + "loss": 0.4864, + "step": 1891 + }, + { + "epoch": 0.25, + "learning_rate": 8.739555417009067e-06, + "loss": 0.4702, + "step": 1892 + }, + { + "epoch": 0.25, + "learning_rate": 8.73811068988768e-06, + "loss": 0.5062, + "step": 1893 + }, + { + "epoch": 0.25, + "learning_rate": 8.736665254824075e-06, + "loss": 0.5148, + "step": 1894 + }, + { + "epoch": 0.25, + "learning_rate": 8.735219112091996e-06, + "loss": 0.5013, + "step": 1895 + }, + { + "epoch": 0.25, + "learning_rate": 8.733772261965321e-06, + "loss": 0.4886, + "step": 1896 + }, + { + "epoch": 0.25, + "learning_rate": 8.73232470471806e-06, + "loss": 0.4982, + "step": 1897 + }, + { + "epoch": 0.26, + "learning_rate": 8.730876440624361e-06, + "loss": 0.4967, + "step": 1898 + }, + { + "epoch": 0.26, + "learning_rate": 8.729427469958503e-06, + "loss": 0.4785, + "step": 1899 + }, + { + "epoch": 0.26, + "learning_rate": 8.727977792994899e-06, + "loss": 0.471, + "step": 1900 + }, + { + "epoch": 0.26, + "learning_rate": 8.726527410008096e-06, + "loss": 0.4919, + "step": 1901 + }, + { + "epoch": 0.26, + "learning_rate": 8.725076321272775e-06, + "loss": 0.5073, + "step": 1902 + }, + { + "epoch": 0.26, + "learning_rate": 8.72362452706375e-06, + "loss": 0.4938, + "step": 1903 + }, + { + "epoch": 0.26, + "learning_rate": 8.72217202765597e-06, + "loss": 0.5084, + "step": 1904 + }, + { + "epoch": 0.26, + "learning_rate": 8.720718823324517e-06, + "loss": 0.4916, + "step": 1905 + }, + { + "epoch": 0.26, + "learning_rate": 8.719264914344604e-06, + "loss": 0.5023, + "step": 1906 + }, + { + "epoch": 0.26, + "learning_rate": 8.717810300991581e-06, + "loss": 0.5193, + "step": 1907 + }, + { + "epoch": 0.26, + "learning_rate": 8.716354983540929e-06, + "loss": 0.4888, + "step": 1908 + }, + { + "epoch": 0.26, + "learning_rate": 8.714898962268266e-06, + "loss": 0.5091, + "step": 1909 + }, + { + "epoch": 0.26, + "learning_rate": 8.713442237449338e-06, + "loss": 0.4635, + "step": 1910 + }, + { + "epoch": 0.26, + "learning_rate": 8.711984809360027e-06, + "loss": 0.494, + "step": 1911 + }, + { + "epoch": 0.26, + "learning_rate": 8.710526678276349e-06, + "loss": 0.5205, + "step": 1912 + }, + { + "epoch": 0.26, + "learning_rate": 8.709067844474454e-06, + "loss": 0.526, + "step": 1913 + }, + { + "epoch": 0.26, + "learning_rate": 8.707608308230622e-06, + "loss": 0.4954, + "step": 1914 + }, + { + "epoch": 0.26, + "learning_rate": 8.706148069821264e-06, + "loss": 0.486, + "step": 1915 + }, + { + "epoch": 0.26, + "learning_rate": 8.704687129522931e-06, + "loss": 0.4929, + "step": 1916 + }, + { + "epoch": 0.26, + "learning_rate": 8.7032254876123e-06, + "loss": 0.4713, + "step": 1917 + }, + { + "epoch": 0.26, + "learning_rate": 8.70176314436619e-06, + "loss": 0.478, + "step": 1918 + }, + { + "epoch": 0.26, + "learning_rate": 8.700300100061542e-06, + "loss": 0.48, + "step": 1919 + }, + { + "epoch": 0.26, + "learning_rate": 8.698836354975436e-06, + "loss": 0.493, + "step": 1920 + }, + { + "epoch": 0.26, + "learning_rate": 8.697371909385082e-06, + "loss": 0.4837, + "step": 1921 + }, + { + "epoch": 0.26, + "learning_rate": 8.695906763567826e-06, + "loss": 0.5049, + "step": 1922 + }, + { + "epoch": 0.26, + "learning_rate": 8.694440917801144e-06, + "loss": 0.4899, + "step": 1923 + }, + { + "epoch": 0.26, + "learning_rate": 8.692974372362646e-06, + "loss": 0.4787, + "step": 1924 + }, + { + "epoch": 0.26, + "learning_rate": 8.691507127530072e-06, + "loss": 0.4798, + "step": 1925 + }, + { + "epoch": 0.26, + "learning_rate": 8.690039183581298e-06, + "loss": 0.4781, + "step": 1926 + }, + { + "epoch": 0.26, + "learning_rate": 8.68857054079433e-06, + "loss": 0.5054, + "step": 1927 + }, + { + "epoch": 0.26, + "learning_rate": 8.687101199447307e-06, + "loss": 0.5413, + "step": 1928 + }, + { + "epoch": 0.26, + "learning_rate": 8.6856311598185e-06, + "loss": 0.5119, + "step": 1929 + }, + { + "epoch": 0.26, + "learning_rate": 8.684160422186311e-06, + "loss": 0.4923, + "step": 1930 + }, + { + "epoch": 0.26, + "learning_rate": 8.68268898682928e-06, + "loss": 0.5081, + "step": 1931 + }, + { + "epoch": 0.26, + "learning_rate": 8.681216854026071e-06, + "loss": 0.4751, + "step": 1932 + }, + { + "epoch": 0.26, + "learning_rate": 8.679744024055485e-06, + "loss": 0.5107, + "step": 1933 + }, + { + "epoch": 0.26, + "learning_rate": 8.678270497196455e-06, + "loss": 0.4937, + "step": 1934 + }, + { + "epoch": 0.26, + "learning_rate": 8.676796273728043e-06, + "loss": 0.4948, + "step": 1935 + }, + { + "epoch": 0.26, + "learning_rate": 8.675321353929446e-06, + "loss": 0.4929, + "step": 1936 + }, + { + "epoch": 0.26, + "learning_rate": 8.673845738079992e-06, + "loss": 0.4801, + "step": 1937 + }, + { + "epoch": 0.26, + "learning_rate": 8.67236942645914e-06, + "loss": 0.5169, + "step": 1938 + }, + { + "epoch": 0.26, + "learning_rate": 8.670892419346481e-06, + "loss": 0.4785, + "step": 1939 + }, + { + "epoch": 0.26, + "learning_rate": 8.669414717021739e-06, + "loss": 0.4859, + "step": 1940 + }, + { + "epoch": 0.26, + "learning_rate": 8.667936319764767e-06, + "loss": 0.4883, + "step": 1941 + }, + { + "epoch": 0.26, + "learning_rate": 8.666457227855554e-06, + "loss": 0.4822, + "step": 1942 + }, + { + "epoch": 0.26, + "learning_rate": 8.664977441574216e-06, + "loss": 0.5097, + "step": 1943 + }, + { + "epoch": 0.26, + "learning_rate": 8.663496961201003e-06, + "loss": 0.4588, + "step": 1944 + }, + { + "epoch": 0.26, + "learning_rate": 8.662015787016294e-06, + "loss": 0.502, + "step": 1945 + }, + { + "epoch": 0.26, + "learning_rate": 8.660533919300604e-06, + "loss": 0.4865, + "step": 1946 + }, + { + "epoch": 0.26, + "learning_rate": 8.659051358334575e-06, + "loss": 0.4869, + "step": 1947 + }, + { + "epoch": 0.26, + "learning_rate": 8.657568104398983e-06, + "loss": 0.5124, + "step": 1948 + }, + { + "epoch": 0.26, + "learning_rate": 8.656084157774734e-06, + "loss": 0.4892, + "step": 1949 + }, + { + "epoch": 0.26, + "learning_rate": 8.654599518742863e-06, + "loss": 0.5197, + "step": 1950 + }, + { + "epoch": 0.26, + "learning_rate": 8.653114187584542e-06, + "loss": 0.4765, + "step": 1951 + }, + { + "epoch": 0.26, + "learning_rate": 8.651628164581067e-06, + "loss": 0.497, + "step": 1952 + }, + { + "epoch": 0.26, + "learning_rate": 8.650141450013869e-06, + "loss": 0.4943, + "step": 1953 + }, + { + "epoch": 0.26, + "learning_rate": 8.648654044164513e-06, + "loss": 0.4861, + "step": 1954 + }, + { + "epoch": 0.26, + "learning_rate": 8.647165947314686e-06, + "loss": 0.5076, + "step": 1955 + }, + { + "epoch": 0.26, + "learning_rate": 8.645677159746216e-06, + "loss": 0.4832, + "step": 1956 + }, + { + "epoch": 0.26, + "learning_rate": 8.644187681741056e-06, + "loss": 0.4983, + "step": 1957 + }, + { + "epoch": 0.26, + "learning_rate": 8.642697513581288e-06, + "loss": 0.4658, + "step": 1958 + }, + { + "epoch": 0.26, + "learning_rate": 8.641206655549133e-06, + "loss": 0.4975, + "step": 1959 + }, + { + "epoch": 0.26, + "learning_rate": 8.639715107926931e-06, + "loss": 0.4946, + "step": 1960 + }, + { + "epoch": 0.26, + "learning_rate": 8.638222870997161e-06, + "loss": 0.4902, + "step": 1961 + }, + { + "epoch": 0.26, + "learning_rate": 8.636729945042434e-06, + "loss": 0.4947, + "step": 1962 + }, + { + "epoch": 0.26, + "learning_rate": 8.635236330345482e-06, + "loss": 0.5133, + "step": 1963 + }, + { + "epoch": 0.26, + "learning_rate": 8.633742027189178e-06, + "loss": 0.5043, + "step": 1964 + }, + { + "epoch": 0.26, + "learning_rate": 8.632247035856518e-06, + "loss": 0.4985, + "step": 1965 + }, + { + "epoch": 0.26, + "learning_rate": 8.630751356630634e-06, + "loss": 0.4979, + "step": 1966 + }, + { + "epoch": 0.26, + "learning_rate": 8.62925498979478e-06, + "loss": 0.5054, + "step": 1967 + }, + { + "epoch": 0.26, + "learning_rate": 8.627757935632348e-06, + "loss": 0.4682, + "step": 1968 + }, + { + "epoch": 0.26, + "learning_rate": 8.626260194426862e-06, + "loss": 0.4888, + "step": 1969 + }, + { + "epoch": 0.26, + "learning_rate": 8.624761766461965e-06, + "loss": 0.5011, + "step": 1970 + }, + { + "epoch": 0.26, + "learning_rate": 8.62326265202144e-06, + "loss": 0.4946, + "step": 1971 + }, + { + "epoch": 0.26, + "learning_rate": 8.621762851389196e-06, + "loss": 0.4957, + "step": 1972 + }, + { + "epoch": 0.27, + "learning_rate": 8.620262364849275e-06, + "loss": 0.4818, + "step": 1973 + }, + { + "epoch": 0.27, + "learning_rate": 8.618761192685843e-06, + "loss": 0.5183, + "step": 1974 + }, + { + "epoch": 0.27, + "learning_rate": 8.617259335183203e-06, + "loss": 0.5154, + "step": 1975 + }, + { + "epoch": 0.27, + "learning_rate": 8.615756792625783e-06, + "loss": 0.5184, + "step": 1976 + }, + { + "epoch": 0.27, + "learning_rate": 8.61425356529814e-06, + "loss": 0.5058, + "step": 1977 + }, + { + "epoch": 0.27, + "learning_rate": 8.612749653484969e-06, + "loss": 0.469, + "step": 1978 + }, + { + "epoch": 0.27, + "learning_rate": 8.61124505747108e-06, + "loss": 0.4884, + "step": 1979 + }, + { + "epoch": 0.27, + "learning_rate": 8.609739777541427e-06, + "loss": 0.489, + "step": 1980 + }, + { + "epoch": 0.27, + "learning_rate": 8.608233813981087e-06, + "loss": 0.5402, + "step": 1981 + }, + { + "epoch": 0.27, + "learning_rate": 8.606727167075262e-06, + "loss": 0.511, + "step": 1982 + }, + { + "epoch": 0.27, + "learning_rate": 8.605219837109296e-06, + "loss": 0.4727, + "step": 1983 + }, + { + "epoch": 0.27, + "learning_rate": 8.603711824368648e-06, + "loss": 0.4629, + "step": 1984 + }, + { + "epoch": 0.27, + "learning_rate": 8.602203129138914e-06, + "loss": 0.5005, + "step": 1985 + }, + { + "epoch": 0.27, + "learning_rate": 8.600693751705824e-06, + "loss": 0.5093, + "step": 1986 + }, + { + "epoch": 0.27, + "learning_rate": 8.599183692355226e-06, + "loss": 0.4981, + "step": 1987 + }, + { + "epoch": 0.27, + "learning_rate": 8.597672951373104e-06, + "loss": 0.4608, + "step": 1988 + }, + { + "epoch": 0.27, + "learning_rate": 8.59616152904557e-06, + "loss": 0.4644, + "step": 1989 + }, + { + "epoch": 0.27, + "learning_rate": 8.594649425658865e-06, + "loss": 0.4983, + "step": 1990 + }, + { + "epoch": 0.27, + "learning_rate": 8.593136641499358e-06, + "loss": 0.4725, + "step": 1991 + }, + { + "epoch": 0.27, + "learning_rate": 8.591623176853548e-06, + "loss": 0.4979, + "step": 1992 + }, + { + "epoch": 0.27, + "learning_rate": 8.590109032008063e-06, + "loss": 0.4939, + "step": 1993 + }, + { + "epoch": 0.27, + "learning_rate": 8.588594207249658e-06, + "loss": 0.4805, + "step": 1994 + }, + { + "epoch": 0.27, + "learning_rate": 8.58707870286522e-06, + "loss": 0.5176, + "step": 1995 + }, + { + "epoch": 0.27, + "learning_rate": 8.585562519141764e-06, + "loss": 0.4799, + "step": 1996 + }, + { + "epoch": 0.27, + "learning_rate": 8.584045656366426e-06, + "loss": 0.4645, + "step": 1997 + }, + { + "epoch": 0.27, + "learning_rate": 8.582528114826484e-06, + "loss": 0.4702, + "step": 1998 + }, + { + "epoch": 0.27, + "learning_rate": 8.581009894809337e-06, + "loss": 0.4861, + "step": 1999 + }, + { + "epoch": 0.27, + "learning_rate": 8.579490996602509e-06, + "loss": 0.467, + "step": 2000 + }, + { + "epoch": 0.27, + "learning_rate": 8.577971420493661e-06, + "loss": 0.5035, + "step": 2001 + }, + { + "epoch": 0.27, + "learning_rate": 8.576451166770575e-06, + "loss": 0.4847, + "step": 2002 + }, + { + "epoch": 0.27, + "learning_rate": 8.574930235721163e-06, + "loss": 0.4668, + "step": 2003 + }, + { + "epoch": 0.27, + "learning_rate": 8.573408627633472e-06, + "loss": 0.4629, + "step": 2004 + }, + { + "epoch": 0.27, + "learning_rate": 8.571886342795667e-06, + "loss": 0.5059, + "step": 2005 + }, + { + "epoch": 0.27, + "learning_rate": 8.570363381496047e-06, + "loss": 0.5141, + "step": 2006 + }, + { + "epoch": 0.27, + "learning_rate": 8.568839744023041e-06, + "loss": 0.4563, + "step": 2007 + }, + { + "epoch": 0.27, + "learning_rate": 8.567315430665199e-06, + "loss": 0.4839, + "step": 2008 + }, + { + "epoch": 0.27, + "learning_rate": 8.565790441711207e-06, + "loss": 0.5049, + "step": 2009 + }, + { + "epoch": 0.27, + "learning_rate": 8.564264777449872e-06, + "loss": 0.5152, + "step": 2010 + }, + { + "epoch": 0.27, + "learning_rate": 8.562738438170131e-06, + "loss": 0.4777, + "step": 2011 + }, + { + "epoch": 0.27, + "learning_rate": 8.561211424161053e-06, + "loss": 0.5018, + "step": 2012 + }, + { + "epoch": 0.27, + "learning_rate": 8.559683735711832e-06, + "loss": 0.4932, + "step": 2013 + }, + { + "epoch": 0.27, + "learning_rate": 8.558155373111787e-06, + "loss": 0.4889, + "step": 2014 + }, + { + "epoch": 0.27, + "learning_rate": 8.556626336650366e-06, + "loss": 0.5004, + "step": 2015 + }, + { + "epoch": 0.27, + "learning_rate": 8.55509662661715e-06, + "loss": 0.5037, + "step": 2016 + }, + { + "epoch": 0.27, + "learning_rate": 8.55356624330184e-06, + "loss": 0.489, + "step": 2017 + }, + { + "epoch": 0.27, + "learning_rate": 8.552035186994268e-06, + "loss": 0.4923, + "step": 2018 + }, + { + "epoch": 0.27, + "learning_rate": 8.550503457984391e-06, + "loss": 0.4668, + "step": 2019 + }, + { + "epoch": 0.27, + "learning_rate": 8.5489710565623e-06, + "loss": 0.4732, + "step": 2020 + }, + { + "epoch": 0.27, + "learning_rate": 8.547437983018207e-06, + "loss": 0.5022, + "step": 2021 + }, + { + "epoch": 0.27, + "learning_rate": 8.545904237642456e-06, + "loss": 0.4723, + "step": 2022 + }, + { + "epoch": 0.27, + "learning_rate": 8.544369820725508e-06, + "loss": 0.4839, + "step": 2023 + }, + { + "epoch": 0.27, + "learning_rate": 8.542834732557964e-06, + "loss": 0.5159, + "step": 2024 + }, + { + "epoch": 0.27, + "learning_rate": 8.541298973430548e-06, + "loss": 0.5301, + "step": 2025 + }, + { + "epoch": 0.27, + "learning_rate": 8.539762543634104e-06, + "loss": 0.4897, + "step": 2026 + }, + { + "epoch": 0.27, + "learning_rate": 8.538225443459616e-06, + "loss": 0.5045, + "step": 2027 + }, + { + "epoch": 0.27, + "learning_rate": 8.536687673198182e-06, + "loss": 0.5026, + "step": 2028 + }, + { + "epoch": 0.27, + "learning_rate": 8.535149233141036e-06, + "loss": 0.4641, + "step": 2029 + }, + { + "epoch": 0.27, + "learning_rate": 8.533610123579532e-06, + "loss": 0.4886, + "step": 2030 + }, + { + "epoch": 0.27, + "learning_rate": 8.532070344805158e-06, + "loss": 0.4955, + "step": 2031 + }, + { + "epoch": 0.27, + "learning_rate": 8.530529897109525e-06, + "loss": 0.4878, + "step": 2032 + }, + { + "epoch": 0.27, + "learning_rate": 8.528988780784369e-06, + "loss": 0.5018, + "step": 2033 + }, + { + "epoch": 0.27, + "learning_rate": 8.527446996121554e-06, + "loss": 0.4974, + "step": 2034 + }, + { + "epoch": 0.27, + "learning_rate": 8.525904543413073e-06, + "loss": 0.4868, + "step": 2035 + }, + { + "epoch": 0.27, + "learning_rate": 8.524361422951041e-06, + "loss": 0.5053, + "step": 2036 + }, + { + "epoch": 0.27, + "learning_rate": 8.522817635027704e-06, + "loss": 0.4865, + "step": 2037 + }, + { + "epoch": 0.27, + "learning_rate": 8.52127317993543e-06, + "loss": 0.456, + "step": 2038 + }, + { + "epoch": 0.27, + "learning_rate": 8.519728057966719e-06, + "loss": 0.4942, + "step": 2039 + }, + { + "epoch": 0.27, + "learning_rate": 8.51818226941419e-06, + "loss": 0.4841, + "step": 2040 + }, + { + "epoch": 0.27, + "learning_rate": 8.516635814570596e-06, + "loss": 0.4924, + "step": 2041 + }, + { + "epoch": 0.27, + "learning_rate": 8.515088693728811e-06, + "loss": 0.5137, + "step": 2042 + }, + { + "epoch": 0.27, + "learning_rate": 8.513540907181836e-06, + "loss": 0.5086, + "step": 2043 + }, + { + "epoch": 0.27, + "learning_rate": 8.5119924552228e-06, + "loss": 0.5011, + "step": 2044 + }, + { + "epoch": 0.27, + "learning_rate": 8.510443338144953e-06, + "loss": 0.5321, + "step": 2045 + }, + { + "epoch": 0.27, + "learning_rate": 8.508893556241678e-06, + "loss": 0.5158, + "step": 2046 + }, + { + "epoch": 0.28, + "learning_rate": 8.507343109806482e-06, + "loss": 0.4995, + "step": 2047 + }, + { + "epoch": 0.28, + "learning_rate": 8.50579199913299e-06, + "loss": 0.4516, + "step": 2048 + }, + { + "epoch": 0.28, + "learning_rate": 8.504240224514965e-06, + "loss": 0.5207, + "step": 2049 + }, + { + "epoch": 0.28, + "learning_rate": 8.502687786246289e-06, + "loss": 0.4837, + "step": 2050 + }, + { + "epoch": 0.28, + "learning_rate": 8.501134684620966e-06, + "loss": 0.4914, + "step": 2051 + }, + { + "epoch": 0.28, + "learning_rate": 8.499580919933137e-06, + "loss": 0.4877, + "step": 2052 + }, + { + "epoch": 0.28, + "learning_rate": 8.498026492477058e-06, + "loss": 0.5009, + "step": 2053 + }, + { + "epoch": 0.28, + "learning_rate": 8.496471402547116e-06, + "loss": 0.4487, + "step": 2054 + }, + { + "epoch": 0.28, + "learning_rate": 8.494915650437818e-06, + "loss": 0.5015, + "step": 2055 + }, + { + "epoch": 0.28, + "learning_rate": 8.493359236443803e-06, + "loss": 0.5009, + "step": 2056 + }, + { + "epoch": 0.28, + "learning_rate": 8.491802160859835e-06, + "loss": 0.5225, + "step": 2057 + }, + { + "epoch": 0.28, + "learning_rate": 8.490244423980796e-06, + "loss": 0.4834, + "step": 2058 + }, + { + "epoch": 0.28, + "learning_rate": 8.4886860261017e-06, + "loss": 0.4675, + "step": 2059 + }, + { + "epoch": 0.28, + "learning_rate": 8.487126967517685e-06, + "loss": 0.4754, + "step": 2060 + }, + { + "epoch": 0.28, + "learning_rate": 8.485567248524012e-06, + "loss": 0.5355, + "step": 2061 + }, + { + "epoch": 0.28, + "learning_rate": 8.484006869416071e-06, + "loss": 0.4913, + "step": 2062 + }, + { + "epoch": 0.28, + "learning_rate": 8.48244583048937e-06, + "loss": 0.4924, + "step": 2063 + }, + { + "epoch": 0.28, + "learning_rate": 8.480884132039551e-06, + "loss": 0.5085, + "step": 2064 + }, + { + "epoch": 0.28, + "learning_rate": 8.479321774362373e-06, + "loss": 0.5002, + "step": 2065 + }, + { + "epoch": 0.28, + "learning_rate": 8.477758757753727e-06, + "loss": 0.4849, + "step": 2066 + }, + { + "epoch": 0.28, + "learning_rate": 8.47619508250962e-06, + "loss": 0.4901, + "step": 2067 + }, + { + "epoch": 0.28, + "learning_rate": 8.474630748926192e-06, + "loss": 0.4969, + "step": 2068 + }, + { + "epoch": 0.28, + "learning_rate": 8.473065757299703e-06, + "loss": 0.4978, + "step": 2069 + }, + { + "epoch": 0.28, + "learning_rate": 8.47150010792654e-06, + "loss": 0.5074, + "step": 2070 + }, + { + "epoch": 0.28, + "learning_rate": 8.469933801103211e-06, + "loss": 0.4688, + "step": 2071 + }, + { + "epoch": 0.28, + "learning_rate": 8.468366837126355e-06, + "loss": 0.459, + "step": 2072 + }, + { + "epoch": 0.28, + "learning_rate": 8.466799216292732e-06, + "loss": 0.4976, + "step": 2073 + }, + { + "epoch": 0.28, + "learning_rate": 8.46523093889922e-06, + "loss": 0.4944, + "step": 2074 + }, + { + "epoch": 0.28, + "learning_rate": 8.463662005242833e-06, + "loss": 0.4676, + "step": 2075 + }, + { + "epoch": 0.28, + "learning_rate": 8.462092415620701e-06, + "loss": 0.4719, + "step": 2076 + }, + { + "epoch": 0.28, + "learning_rate": 8.46052217033008e-06, + "loss": 0.4993, + "step": 2077 + }, + { + "epoch": 0.28, + "learning_rate": 8.458951269668352e-06, + "loss": 0.4838, + "step": 2078 + }, + { + "epoch": 0.28, + "learning_rate": 8.457379713933025e-06, + "loss": 0.4497, + "step": 2079 + }, + { + "epoch": 0.28, + "learning_rate": 8.455807503421722e-06, + "loss": 0.501, + "step": 2080 + }, + { + "epoch": 0.28, + "learning_rate": 8.454234638432201e-06, + "loss": 0.4982, + "step": 2081 + }, + { + "epoch": 0.28, + "learning_rate": 8.452661119262338e-06, + "loss": 0.482, + "step": 2082 + }, + { + "epoch": 0.28, + "learning_rate": 8.451086946210134e-06, + "loss": 0.4917, + "step": 2083 + }, + { + "epoch": 0.28, + "learning_rate": 8.449512119573712e-06, + "loss": 0.4958, + "step": 2084 + }, + { + "epoch": 0.28, + "learning_rate": 8.447936639651322e-06, + "loss": 0.5198, + "step": 2085 + }, + { + "epoch": 0.28, + "learning_rate": 8.446360506741338e-06, + "loss": 0.5091, + "step": 2086 + }, + { + "epoch": 0.28, + "learning_rate": 8.444783721142253e-06, + "loss": 0.4921, + "step": 2087 + }, + { + "epoch": 0.28, + "learning_rate": 8.443206283152688e-06, + "loss": 0.4719, + "step": 2088 + }, + { + "epoch": 0.28, + "learning_rate": 8.441628193071384e-06, + "loss": 0.4869, + "step": 2089 + }, + { + "epoch": 0.28, + "learning_rate": 8.440049451197212e-06, + "loss": 0.4673, + "step": 2090 + }, + { + "epoch": 0.28, + "learning_rate": 8.43847005782916e-06, + "loss": 0.4917, + "step": 2091 + }, + { + "epoch": 0.28, + "learning_rate": 8.436890013266342e-06, + "loss": 0.4824, + "step": 2092 + }, + { + "epoch": 0.28, + "learning_rate": 8.435309317807992e-06, + "loss": 0.4719, + "step": 2093 + }, + { + "epoch": 0.28, + "learning_rate": 8.43372797175347e-06, + "loss": 0.4808, + "step": 2094 + }, + { + "epoch": 0.28, + "learning_rate": 8.432145975402266e-06, + "loss": 0.4778, + "step": 2095 + }, + { + "epoch": 0.28, + "learning_rate": 8.43056332905398e-06, + "loss": 0.481, + "step": 2096 + }, + { + "epoch": 0.28, + "learning_rate": 8.42898003300834e-06, + "loss": 0.5107, + "step": 2097 + }, + { + "epoch": 0.28, + "learning_rate": 8.427396087565208e-06, + "loss": 0.5169, + "step": 2098 + }, + { + "epoch": 0.28, + "learning_rate": 8.42581149302455e-06, + "loss": 0.498, + "step": 2099 + }, + { + "epoch": 0.28, + "learning_rate": 8.424226249686467e-06, + "loss": 0.5103, + "step": 2100 + }, + { + "epoch": 0.28, + "learning_rate": 8.422640357851182e-06, + "loss": 0.4782, + "step": 2101 + }, + { + "epoch": 0.28, + "learning_rate": 8.42105381781904e-06, + "loss": 0.525, + "step": 2102 + }, + { + "epoch": 0.28, + "learning_rate": 8.419466629890505e-06, + "loss": 0.4944, + "step": 2103 + }, + { + "epoch": 0.28, + "learning_rate": 8.417878794366168e-06, + "loss": 0.4979, + "step": 2104 + }, + { + "epoch": 0.28, + "learning_rate": 8.416290311546741e-06, + "loss": 0.4746, + "step": 2105 + }, + { + "epoch": 0.28, + "learning_rate": 8.41470118173306e-06, + "loss": 0.5148, + "step": 2106 + }, + { + "epoch": 0.28, + "learning_rate": 8.413111405226082e-06, + "loss": 0.4859, + "step": 2107 + }, + { + "epoch": 0.28, + "learning_rate": 8.411520982326886e-06, + "loss": 0.4877, + "step": 2108 + }, + { + "epoch": 0.28, + "learning_rate": 8.409929913336675e-06, + "loss": 0.507, + "step": 2109 + }, + { + "epoch": 0.28, + "learning_rate": 8.408338198556772e-06, + "loss": 0.4705, + "step": 2110 + }, + { + "epoch": 0.28, + "learning_rate": 8.406745838288628e-06, + "loss": 0.4859, + "step": 2111 + }, + { + "epoch": 0.28, + "learning_rate": 8.405152832833808e-06, + "loss": 0.4966, + "step": 2112 + }, + { + "epoch": 0.28, + "learning_rate": 8.403559182494004e-06, + "loss": 0.4893, + "step": 2113 + }, + { + "epoch": 0.28, + "learning_rate": 8.401964887571033e-06, + "loss": 0.5173, + "step": 2114 + }, + { + "epoch": 0.28, + "learning_rate": 8.400369948366826e-06, + "loss": 0.5105, + "step": 2115 + }, + { + "epoch": 0.28, + "learning_rate": 8.398774365183443e-06, + "loss": 0.5189, + "step": 2116 + }, + { + "epoch": 0.28, + "learning_rate": 8.397178138323063e-06, + "loss": 0.4584, + "step": 2117 + }, + { + "epoch": 0.28, + "learning_rate": 8.395581268087989e-06, + "loss": 0.4601, + "step": 2118 + }, + { + "epoch": 0.28, + "learning_rate": 8.393983754780644e-06, + "loss": 0.5169, + "step": 2119 + }, + { + "epoch": 0.28, + "learning_rate": 8.39238559870357e-06, + "loss": 0.5127, + "step": 2120 + }, + { + "epoch": 0.28, + "learning_rate": 8.390786800159436e-06, + "loss": 0.4814, + "step": 2121 + }, + { + "epoch": 0.29, + "learning_rate": 8.389187359451032e-06, + "loss": 0.4907, + "step": 2122 + }, + { + "epoch": 0.29, + "learning_rate": 8.387587276881266e-06, + "loss": 0.4907, + "step": 2123 + }, + { + "epoch": 0.29, + "learning_rate": 8.38598655275317e-06, + "loss": 0.472, + "step": 2124 + }, + { + "epoch": 0.29, + "learning_rate": 8.384385187369898e-06, + "loss": 0.488, + "step": 2125 + }, + { + "epoch": 0.29, + "learning_rate": 8.382783181034724e-06, + "loss": 0.4649, + "step": 2126 + }, + { + "epoch": 0.29, + "learning_rate": 8.381180534051045e-06, + "loss": 0.5218, + "step": 2127 + }, + { + "epoch": 0.29, + "learning_rate": 8.379577246722377e-06, + "loss": 0.4794, + "step": 2128 + }, + { + "epoch": 0.29, + "learning_rate": 8.377973319352358e-06, + "loss": 0.4857, + "step": 2129 + }, + { + "epoch": 0.29, + "learning_rate": 8.37636875224475e-06, + "loss": 0.5018, + "step": 2130 + }, + { + "epoch": 0.29, + "learning_rate": 8.374763545703433e-06, + "loss": 0.4987, + "step": 2131 + }, + { + "epoch": 0.29, + "learning_rate": 8.373157700032411e-06, + "loss": 0.4927, + "step": 2132 + }, + { + "epoch": 0.29, + "learning_rate": 8.371551215535803e-06, + "loss": 0.4833, + "step": 2133 + }, + { + "epoch": 0.29, + "learning_rate": 8.369944092517856e-06, + "loss": 0.5036, + "step": 2134 + }, + { + "epoch": 0.29, + "learning_rate": 8.368336331282935e-06, + "loss": 0.5008, + "step": 2135 + }, + { + "epoch": 0.29, + "learning_rate": 8.366727932135523e-06, + "loss": 0.4717, + "step": 2136 + }, + { + "epoch": 0.29, + "learning_rate": 8.36511889538023e-06, + "loss": 0.5014, + "step": 2137 + }, + { + "epoch": 0.29, + "learning_rate": 8.363509221321786e-06, + "loss": 0.5042, + "step": 2138 + }, + { + "epoch": 0.29, + "learning_rate": 8.361898910265032e-06, + "loss": 0.5041, + "step": 2139 + }, + { + "epoch": 0.29, + "learning_rate": 8.36028796251494e-06, + "loss": 0.4813, + "step": 2140 + }, + { + "epoch": 0.29, + "learning_rate": 8.358676378376605e-06, + "loss": 0.5371, + "step": 2141 + }, + { + "epoch": 0.29, + "learning_rate": 8.357064158155227e-06, + "loss": 0.5122, + "step": 2142 + }, + { + "epoch": 0.29, + "learning_rate": 8.355451302156143e-06, + "loss": 0.5346, + "step": 2143 + }, + { + "epoch": 0.29, + "learning_rate": 8.353837810684803e-06, + "loss": 0.5074, + "step": 2144 + }, + { + "epoch": 0.29, + "learning_rate": 8.352223684046775e-06, + "loss": 0.4826, + "step": 2145 + }, + { + "epoch": 0.29, + "learning_rate": 8.350608922547753e-06, + "loss": 0.4956, + "step": 2146 + }, + { + "epoch": 0.29, + "learning_rate": 8.348993526493549e-06, + "loss": 0.4848, + "step": 2147 + }, + { + "epoch": 0.29, + "learning_rate": 8.347377496190094e-06, + "loss": 0.483, + "step": 2148 + }, + { + "epoch": 0.29, + "learning_rate": 8.34576083194344e-06, + "loss": 0.511, + "step": 2149 + }, + { + "epoch": 0.29, + "learning_rate": 8.344143534059758e-06, + "loss": 0.5144, + "step": 2150 + }, + { + "epoch": 0.29, + "learning_rate": 8.342525602845343e-06, + "loss": 0.5002, + "step": 2151 + }, + { + "epoch": 0.29, + "learning_rate": 8.340907038606602e-06, + "loss": 0.5181, + "step": 2152 + }, + { + "epoch": 0.29, + "learning_rate": 8.339287841650073e-06, + "loss": 0.4552, + "step": 2153 + }, + { + "epoch": 0.29, + "learning_rate": 8.337668012282404e-06, + "loss": 0.4842, + "step": 2154 + }, + { + "epoch": 0.29, + "learning_rate": 8.336047550810365e-06, + "loss": 0.4898, + "step": 2155 + }, + { + "epoch": 0.29, + "learning_rate": 8.334426457540852e-06, + "loss": 0.5213, + "step": 2156 + }, + { + "epoch": 0.29, + "learning_rate": 8.332804732780871e-06, + "loss": 0.4859, + "step": 2157 + }, + { + "epoch": 0.29, + "learning_rate": 8.331182376837555e-06, + "loss": 0.4962, + "step": 2158 + }, + { + "epoch": 0.29, + "learning_rate": 8.329559390018152e-06, + "loss": 0.4995, + "step": 2159 + }, + { + "epoch": 0.29, + "learning_rate": 8.327935772630033e-06, + "loss": 0.4752, + "step": 2160 + }, + { + "epoch": 0.29, + "learning_rate": 8.326311524980687e-06, + "loss": 0.5117, + "step": 2161 + }, + { + "epoch": 0.29, + "learning_rate": 8.324686647377722e-06, + "loss": 0.4752, + "step": 2162 + }, + { + "epoch": 0.29, + "learning_rate": 8.323061140128865e-06, + "loss": 0.4836, + "step": 2163 + }, + { + "epoch": 0.29, + "learning_rate": 8.321435003541965e-06, + "loss": 0.482, + "step": 2164 + }, + { + "epoch": 0.29, + "learning_rate": 8.319808237924982e-06, + "loss": 0.5075, + "step": 2165 + }, + { + "epoch": 0.29, + "learning_rate": 8.318180843586007e-06, + "loss": 0.4928, + "step": 2166 + }, + { + "epoch": 0.29, + "learning_rate": 8.316552820833242e-06, + "loss": 0.4788, + "step": 2167 + }, + { + "epoch": 0.29, + "learning_rate": 8.314924169975009e-06, + "loss": 0.47, + "step": 2168 + }, + { + "epoch": 0.29, + "learning_rate": 8.313294891319752e-06, + "loss": 0.508, + "step": 2169 + }, + { + "epoch": 0.29, + "learning_rate": 8.311664985176034e-06, + "loss": 0.4892, + "step": 2170 + }, + { + "epoch": 0.29, + "learning_rate": 8.310034451852529e-06, + "loss": 0.5304, + "step": 2171 + }, + { + "epoch": 0.29, + "learning_rate": 8.30840329165804e-06, + "loss": 0.4894, + "step": 2172 + }, + { + "epoch": 0.29, + "learning_rate": 8.306771504901482e-06, + "loss": 0.5108, + "step": 2173 + }, + { + "epoch": 0.29, + "learning_rate": 8.305139091891893e-06, + "loss": 0.4848, + "step": 2174 + }, + { + "epoch": 0.29, + "learning_rate": 8.303506052938427e-06, + "loss": 0.4873, + "step": 2175 + }, + { + "epoch": 0.29, + "learning_rate": 8.301872388350355e-06, + "loss": 0.4909, + "step": 2176 + }, + { + "epoch": 0.29, + "learning_rate": 8.300238098437071e-06, + "loss": 0.4885, + "step": 2177 + }, + { + "epoch": 0.29, + "learning_rate": 8.298603183508084e-06, + "loss": 0.5109, + "step": 2178 + }, + { + "epoch": 0.29, + "learning_rate": 8.296967643873023e-06, + "loss": 0.5219, + "step": 2179 + }, + { + "epoch": 0.29, + "learning_rate": 8.295331479841637e-06, + "loss": 0.4812, + "step": 2180 + }, + { + "epoch": 0.29, + "learning_rate": 8.293694691723786e-06, + "loss": 0.4827, + "step": 2181 + }, + { + "epoch": 0.29, + "learning_rate": 8.292057279829457e-06, + "loss": 0.4763, + "step": 2182 + }, + { + "epoch": 0.29, + "learning_rate": 8.29041924446875e-06, + "loss": 0.5264, + "step": 2183 + }, + { + "epoch": 0.29, + "learning_rate": 8.288780585951885e-06, + "loss": 0.4849, + "step": 2184 + }, + { + "epoch": 0.29, + "learning_rate": 8.287141304589197e-06, + "loss": 0.4968, + "step": 2185 + }, + { + "epoch": 0.29, + "learning_rate": 8.285501400691145e-06, + "loss": 0.5068, + "step": 2186 + }, + { + "epoch": 0.29, + "learning_rate": 8.283860874568299e-06, + "loss": 0.5037, + "step": 2187 + }, + { + "epoch": 0.29, + "learning_rate": 8.282219726531354e-06, + "loss": 0.5019, + "step": 2188 + }, + { + "epoch": 0.29, + "learning_rate": 8.280577956891113e-06, + "loss": 0.4988, + "step": 2189 + }, + { + "epoch": 0.29, + "learning_rate": 8.278935565958508e-06, + "loss": 0.5008, + "step": 2190 + }, + { + "epoch": 0.29, + "learning_rate": 8.27729255404458e-06, + "loss": 0.4859, + "step": 2191 + }, + { + "epoch": 0.29, + "learning_rate": 8.275648921460493e-06, + "loss": 0.474, + "step": 2192 + }, + { + "epoch": 0.29, + "learning_rate": 8.274004668517526e-06, + "loss": 0.5065, + "step": 2193 + }, + { + "epoch": 0.29, + "learning_rate": 8.272359795527074e-06, + "loss": 0.4816, + "step": 2194 + }, + { + "epoch": 0.29, + "learning_rate": 8.270714302800655e-06, + "loss": 0.52, + "step": 2195 + }, + { + "epoch": 0.3, + "learning_rate": 8.269068190649899e-06, + "loss": 0.4902, + "step": 2196 + }, + { + "epoch": 0.3, + "learning_rate": 8.267421459386551e-06, + "loss": 0.5129, + "step": 2197 + }, + { + "epoch": 0.3, + "learning_rate": 8.265774109322484e-06, + "loss": 0.5186, + "step": 2198 + }, + { + "epoch": 0.3, + "learning_rate": 8.264126140769675e-06, + "loss": 0.4992, + "step": 2199 + }, + { + "epoch": 0.3, + "learning_rate": 8.262477554040232e-06, + "loss": 0.4752, + "step": 2200 + }, + { + "epoch": 0.3, + "learning_rate": 8.260828349446363e-06, + "loss": 0.499, + "step": 2201 + }, + { + "epoch": 0.3, + "learning_rate": 8.259178527300412e-06, + "loss": 0.485, + "step": 2202 + }, + { + "epoch": 0.3, + "learning_rate": 8.257528087914825e-06, + "loss": 0.4867, + "step": 2203 + }, + { + "epoch": 0.3, + "learning_rate": 8.255877031602173e-06, + "loss": 0.5179, + "step": 2204 + }, + { + "epoch": 0.3, + "learning_rate": 8.25422535867514e-06, + "loss": 0.4998, + "step": 2205 + }, + { + "epoch": 0.3, + "learning_rate": 8.25257306944653e-06, + "loss": 0.4583, + "step": 2206 + }, + { + "epoch": 0.3, + "learning_rate": 8.250920164229259e-06, + "loss": 0.5036, + "step": 2207 + }, + { + "epoch": 0.3, + "learning_rate": 8.249266643336366e-06, + "loss": 0.4799, + "step": 2208 + }, + { + "epoch": 0.3, + "learning_rate": 8.247612507081e-06, + "loss": 0.4957, + "step": 2209 + }, + { + "epoch": 0.3, + "learning_rate": 8.24595775577643e-06, + "loss": 0.5127, + "step": 2210 + }, + { + "epoch": 0.3, + "learning_rate": 8.244302389736043e-06, + "loss": 0.5001, + "step": 2211 + }, + { + "epoch": 0.3, + "learning_rate": 8.24264640927334e-06, + "loss": 0.5018, + "step": 2212 + }, + { + "epoch": 0.3, + "learning_rate": 8.240989814701938e-06, + "loss": 0.4797, + "step": 2213 + }, + { + "epoch": 0.3, + "learning_rate": 8.23933260633557e-06, + "loss": 0.518, + "step": 2214 + }, + { + "epoch": 0.3, + "learning_rate": 8.23767478448809e-06, + "loss": 0.4552, + "step": 2215 + }, + { + "epoch": 0.3, + "learning_rate": 8.236016349473464e-06, + "loss": 0.5088, + "step": 2216 + }, + { + "epoch": 0.3, + "learning_rate": 8.23435730160577e-06, + "loss": 0.4799, + "step": 2217 + }, + { + "epoch": 0.3, + "learning_rate": 8.232697641199211e-06, + "loss": 0.4867, + "step": 2218 + }, + { + "epoch": 0.3, + "learning_rate": 8.231037368568104e-06, + "loss": 0.5083, + "step": 2219 + }, + { + "epoch": 0.3, + "learning_rate": 8.229376484026875e-06, + "loss": 0.4813, + "step": 2220 + }, + { + "epoch": 0.3, + "learning_rate": 8.227714987890074e-06, + "loss": 0.5021, + "step": 2221 + }, + { + "epoch": 0.3, + "learning_rate": 8.22605288047236e-06, + "loss": 0.519, + "step": 2222 + }, + { + "epoch": 0.3, + "learning_rate": 8.224390162088516e-06, + "loss": 0.4941, + "step": 2223 + }, + { + "epoch": 0.3, + "learning_rate": 8.222726833053432e-06, + "loss": 0.4429, + "step": 2224 + }, + { + "epoch": 0.3, + "learning_rate": 8.221062893682117e-06, + "loss": 0.4852, + "step": 2225 + }, + { + "epoch": 0.3, + "learning_rate": 8.219398344289702e-06, + "loss": 0.4931, + "step": 2226 + }, + { + "epoch": 0.3, + "learning_rate": 8.21773318519142e-06, + "loss": 0.4696, + "step": 2227 + }, + { + "epoch": 0.3, + "learning_rate": 8.216067416702636e-06, + "loss": 0.5268, + "step": 2228 + }, + { + "epoch": 0.3, + "learning_rate": 8.214401039138812e-06, + "loss": 0.5218, + "step": 2229 + }, + { + "epoch": 0.3, + "learning_rate": 8.212734052815543e-06, + "loss": 0.5138, + "step": 2230 + }, + { + "epoch": 0.3, + "learning_rate": 8.211066458048528e-06, + "loss": 0.5256, + "step": 2231 + }, + { + "epoch": 0.3, + "learning_rate": 8.209398255153584e-06, + "loss": 0.5179, + "step": 2232 + }, + { + "epoch": 0.3, + "learning_rate": 8.207729444446645e-06, + "loss": 0.5125, + "step": 2233 + }, + { + "epoch": 0.3, + "learning_rate": 8.206060026243755e-06, + "loss": 0.4716, + "step": 2234 + }, + { + "epoch": 0.3, + "learning_rate": 8.204390000861082e-06, + "loss": 0.4981, + "step": 2235 + }, + { + "epoch": 0.3, + "learning_rate": 8.202719368614902e-06, + "loss": 0.4861, + "step": 2236 + }, + { + "epoch": 0.3, + "learning_rate": 8.201048129821605e-06, + "loss": 0.5056, + "step": 2237 + }, + { + "epoch": 0.3, + "learning_rate": 8.199376284797704e-06, + "loss": 0.5126, + "step": 2238 + }, + { + "epoch": 0.3, + "learning_rate": 8.197703833859817e-06, + "loss": 0.4556, + "step": 2239 + }, + { + "epoch": 0.3, + "learning_rate": 8.196030777324681e-06, + "loss": 0.4969, + "step": 2240 + }, + { + "epoch": 0.3, + "learning_rate": 8.194357115509153e-06, + "loss": 0.4912, + "step": 2241 + }, + { + "epoch": 0.3, + "learning_rate": 8.192682848730194e-06, + "loss": 0.4831, + "step": 2242 + }, + { + "epoch": 0.3, + "learning_rate": 8.191007977304887e-06, + "loss": 0.5016, + "step": 2243 + }, + { + "epoch": 0.3, + "learning_rate": 8.189332501550428e-06, + "loss": 0.4787, + "step": 2244 + }, + { + "epoch": 0.3, + "learning_rate": 8.187656421784126e-06, + "loss": 0.4967, + "step": 2245 + }, + { + "epoch": 0.3, + "learning_rate": 8.185979738323406e-06, + "loss": 0.5061, + "step": 2246 + }, + { + "epoch": 0.3, + "learning_rate": 8.184302451485808e-06, + "loss": 0.5072, + "step": 2247 + }, + { + "epoch": 0.3, + "learning_rate": 8.182624561588983e-06, + "loss": 0.4999, + "step": 2248 + }, + { + "epoch": 0.3, + "learning_rate": 8.180946068950698e-06, + "loss": 0.5248, + "step": 2249 + }, + { + "epoch": 0.3, + "learning_rate": 8.179266973888837e-06, + "loss": 0.4728, + "step": 2250 + }, + { + "epoch": 0.3, + "learning_rate": 8.177587276721392e-06, + "loss": 0.5002, + "step": 2251 + }, + { + "epoch": 0.3, + "learning_rate": 8.175906977766476e-06, + "loss": 0.5066, + "step": 2252 + }, + { + "epoch": 0.3, + "learning_rate": 8.17422607734231e-06, + "loss": 0.4825, + "step": 2253 + }, + { + "epoch": 0.3, + "learning_rate": 8.172544575767235e-06, + "loss": 0.5005, + "step": 2254 + }, + { + "epoch": 0.3, + "learning_rate": 8.170862473359698e-06, + "loss": 0.4717, + "step": 2255 + }, + { + "epoch": 0.3, + "learning_rate": 8.169179770438264e-06, + "loss": 0.5238, + "step": 2256 + }, + { + "epoch": 0.3, + "learning_rate": 8.167496467321614e-06, + "loss": 0.5262, + "step": 2257 + }, + { + "epoch": 0.3, + "learning_rate": 8.16581256432854e-06, + "loss": 0.4626, + "step": 2258 + }, + { + "epoch": 0.3, + "learning_rate": 8.164128061777947e-06, + "loss": 0.4967, + "step": 2259 + }, + { + "epoch": 0.3, + "learning_rate": 8.162442959988856e-06, + "loss": 0.5058, + "step": 2260 + }, + { + "epoch": 0.3, + "learning_rate": 8.160757259280401e-06, + "loss": 0.5045, + "step": 2261 + }, + { + "epoch": 0.3, + "learning_rate": 8.159070959971824e-06, + "loss": 0.4852, + "step": 2262 + }, + { + "epoch": 0.3, + "learning_rate": 8.15738406238249e-06, + "loss": 0.4863, + "step": 2263 + }, + { + "epoch": 0.3, + "learning_rate": 8.155696566831868e-06, + "loss": 0.4934, + "step": 2264 + }, + { + "epoch": 0.3, + "learning_rate": 8.154008473639547e-06, + "loss": 0.4642, + "step": 2265 + }, + { + "epoch": 0.3, + "learning_rate": 8.152319783125225e-06, + "loss": 0.4938, + "step": 2266 + }, + { + "epoch": 0.3, + "learning_rate": 8.150630495608717e-06, + "loss": 0.4935, + "step": 2267 + }, + { + "epoch": 0.3, + "learning_rate": 8.148940611409947e-06, + "loss": 0.5085, + "step": 2268 + }, + { + "epoch": 0.3, + "learning_rate": 8.147250130848954e-06, + "loss": 0.4833, + "step": 2269 + }, + { + "epoch": 0.3, + "learning_rate": 8.145559054245889e-06, + "loss": 0.4884, + "step": 2270 + }, + { + "epoch": 0.31, + "learning_rate": 8.143867381921018e-06, + "loss": 0.5039, + "step": 2271 + }, + { + "epoch": 0.31, + "learning_rate": 8.142175114194717e-06, + "loss": 0.5012, + "step": 2272 + }, + { + "epoch": 0.31, + "learning_rate": 8.140482251387478e-06, + "loss": 0.5097, + "step": 2273 + }, + { + "epoch": 0.31, + "learning_rate": 8.138788793819903e-06, + "loss": 0.5112, + "step": 2274 + }, + { + "epoch": 0.31, + "learning_rate": 8.137094741812708e-06, + "loss": 0.5009, + "step": 2275 + }, + { + "epoch": 0.31, + "learning_rate": 8.135400095686719e-06, + "loss": 0.481, + "step": 2276 + }, + { + "epoch": 0.31, + "learning_rate": 8.133704855762878e-06, + "loss": 0.4856, + "step": 2277 + }, + { + "epoch": 0.31, + "learning_rate": 8.13200902236224e-06, + "loss": 0.4884, + "step": 2278 + }, + { + "epoch": 0.31, + "learning_rate": 8.130312595805967e-06, + "loss": 0.4873, + "step": 2279 + }, + { + "epoch": 0.31, + "learning_rate": 8.12861557641534e-06, + "loss": 0.5266, + "step": 2280 + }, + { + "epoch": 0.31, + "learning_rate": 8.126917964511746e-06, + "loss": 0.504, + "step": 2281 + }, + { + "epoch": 0.31, + "learning_rate": 8.125219760416688e-06, + "loss": 0.4987, + "step": 2282 + }, + { + "epoch": 0.31, + "learning_rate": 8.123520964451782e-06, + "loss": 0.5039, + "step": 2283 + }, + { + "epoch": 0.31, + "learning_rate": 8.121821576938755e-06, + "loss": 0.4857, + "step": 2284 + }, + { + "epoch": 0.31, + "learning_rate": 8.120121598199444e-06, + "loss": 0.476, + "step": 2285 + }, + { + "epoch": 0.31, + "learning_rate": 8.118421028555799e-06, + "loss": 0.5169, + "step": 2286 + }, + { + "epoch": 0.31, + "learning_rate": 8.116719868329885e-06, + "loss": 0.4822, + "step": 2287 + }, + { + "epoch": 0.31, + "learning_rate": 8.115018117843874e-06, + "loss": 0.5113, + "step": 2288 + }, + { + "epoch": 0.31, + "learning_rate": 8.11331577742005e-06, + "loss": 0.5055, + "step": 2289 + }, + { + "epoch": 0.31, + "learning_rate": 8.111612847380817e-06, + "loss": 0.5197, + "step": 2290 + }, + { + "epoch": 0.31, + "learning_rate": 8.109909328048679e-06, + "loss": 0.5123, + "step": 2291 + }, + { + "epoch": 0.31, + "learning_rate": 8.108205219746259e-06, + "loss": 0.4868, + "step": 2292 + }, + { + "epoch": 0.31, + "learning_rate": 8.10650052279629e-06, + "loss": 0.4985, + "step": 2293 + }, + { + "epoch": 0.31, + "learning_rate": 8.104795237521617e-06, + "loss": 0.5273, + "step": 2294 + }, + { + "epoch": 0.31, + "learning_rate": 8.103089364245191e-06, + "loss": 0.4665, + "step": 2295 + }, + { + "epoch": 0.31, + "learning_rate": 8.101382903290085e-06, + "loss": 0.4591, + "step": 2296 + }, + { + "epoch": 0.31, + "learning_rate": 8.099675854979475e-06, + "loss": 0.5326, + "step": 2297 + }, + { + "epoch": 0.31, + "learning_rate": 8.097968219636646e-06, + "loss": 0.489, + "step": 2298 + }, + { + "epoch": 0.31, + "learning_rate": 8.096259997585004e-06, + "loss": 0.5103, + "step": 2299 + }, + { + "epoch": 0.31, + "learning_rate": 8.094551189148059e-06, + "loss": 0.468, + "step": 2300 + }, + { + "epoch": 0.31, + "learning_rate": 8.092841794649435e-06, + "loss": 0.5126, + "step": 2301 + }, + { + "epoch": 0.31, + "learning_rate": 8.09113181441286e-06, + "loss": 0.4946, + "step": 2302 + }, + { + "epoch": 0.31, + "learning_rate": 8.089421248762187e-06, + "loss": 0.5208, + "step": 2303 + }, + { + "epoch": 0.31, + "learning_rate": 8.087710098021368e-06, + "loss": 0.4994, + "step": 2304 + }, + { + "epoch": 0.31, + "learning_rate": 8.085998362514467e-06, + "loss": 0.49, + "step": 2305 + }, + { + "epoch": 0.31, + "learning_rate": 8.084286042565664e-06, + "loss": 0.5046, + "step": 2306 + }, + { + "epoch": 0.31, + "learning_rate": 8.082573138499246e-06, + "loss": 0.5343, + "step": 2307 + }, + { + "epoch": 0.31, + "learning_rate": 8.080859650639609e-06, + "loss": 0.5089, + "step": 2308 + }, + { + "epoch": 0.31, + "learning_rate": 8.079145579311266e-06, + "loss": 0.4995, + "step": 2309 + }, + { + "epoch": 0.31, + "learning_rate": 8.077430924838834e-06, + "loss": 0.5243, + "step": 2310 + }, + { + "epoch": 0.31, + "learning_rate": 8.075715687547044e-06, + "loss": 0.471, + "step": 2311 + }, + { + "epoch": 0.31, + "learning_rate": 8.073999867760736e-06, + "loss": 0.4839, + "step": 2312 + }, + { + "epoch": 0.31, + "learning_rate": 8.072283465804859e-06, + "loss": 0.5243, + "step": 2313 + }, + { + "epoch": 0.31, + "learning_rate": 8.070566482004475e-06, + "loss": 0.5178, + "step": 2314 + }, + { + "epoch": 0.31, + "learning_rate": 8.068848916684757e-06, + "loss": 0.4866, + "step": 2315 + }, + { + "epoch": 0.31, + "learning_rate": 8.067130770170984e-06, + "loss": 0.496, + "step": 2316 + }, + { + "epoch": 0.31, + "learning_rate": 8.065412042788545e-06, + "loss": 0.5029, + "step": 2317 + }, + { + "epoch": 0.31, + "learning_rate": 8.063692734862948e-06, + "loss": 0.4915, + "step": 2318 + }, + { + "epoch": 0.31, + "learning_rate": 8.061972846719796e-06, + "loss": 0.4931, + "step": 2319 + }, + { + "epoch": 0.31, + "learning_rate": 8.060252378684817e-06, + "loss": 0.5209, + "step": 2320 + }, + { + "epoch": 0.31, + "learning_rate": 8.058531331083838e-06, + "loss": 0.4907, + "step": 2321 + }, + { + "epoch": 0.31, + "learning_rate": 8.056809704242801e-06, + "loss": 0.518, + "step": 2322 + }, + { + "epoch": 0.31, + "learning_rate": 8.055087498487756e-06, + "loss": 0.4777, + "step": 2323 + }, + { + "epoch": 0.31, + "learning_rate": 8.053364714144862e-06, + "loss": 0.499, + "step": 2324 + }, + { + "epoch": 0.31, + "learning_rate": 8.05164135154039e-06, + "loss": 0.4645, + "step": 2325 + }, + { + "epoch": 0.31, + "learning_rate": 8.04991741100072e-06, + "loss": 0.4829, + "step": 2326 + }, + { + "epoch": 0.31, + "learning_rate": 8.048192892852337e-06, + "loss": 0.4851, + "step": 2327 + }, + { + "epoch": 0.31, + "learning_rate": 8.046467797421843e-06, + "loss": 0.5106, + "step": 2328 + }, + { + "epoch": 0.31, + "learning_rate": 8.044742125035942e-06, + "loss": 0.4639, + "step": 2329 + }, + { + "epoch": 0.31, + "learning_rate": 8.043015876021454e-06, + "loss": 0.5059, + "step": 2330 + }, + { + "epoch": 0.31, + "learning_rate": 8.041289050705302e-06, + "loss": 0.4821, + "step": 2331 + }, + { + "epoch": 0.31, + "learning_rate": 8.03956164941452e-06, + "loss": 0.4737, + "step": 2332 + }, + { + "epoch": 0.31, + "learning_rate": 8.037833672476253e-06, + "loss": 0.4704, + "step": 2333 + }, + { + "epoch": 0.31, + "learning_rate": 8.036105120217756e-06, + "loss": 0.4886, + "step": 2334 + }, + { + "epoch": 0.31, + "learning_rate": 8.03437599296639e-06, + "loss": 0.4908, + "step": 2335 + }, + { + "epoch": 0.31, + "learning_rate": 8.032646291049624e-06, + "loss": 0.5158, + "step": 2336 + }, + { + "epoch": 0.31, + "learning_rate": 8.030916014795038e-06, + "loss": 0.5019, + "step": 2337 + }, + { + "epoch": 0.31, + "learning_rate": 8.029185164530322e-06, + "loss": 0.4814, + "step": 2338 + }, + { + "epoch": 0.31, + "learning_rate": 8.027453740583275e-06, + "loss": 0.4914, + "step": 2339 + }, + { + "epoch": 0.31, + "learning_rate": 8.025721743281798e-06, + "loss": 0.4929, + "step": 2340 + }, + { + "epoch": 0.31, + "learning_rate": 8.023989172953907e-06, + "loss": 0.5069, + "step": 2341 + }, + { + "epoch": 0.31, + "learning_rate": 8.022256029927726e-06, + "loss": 0.4852, + "step": 2342 + }, + { + "epoch": 0.31, + "learning_rate": 8.020522314531484e-06, + "loss": 0.4819, + "step": 2343 + }, + { + "epoch": 0.31, + "learning_rate": 8.018788027093525e-06, + "loss": 0.4828, + "step": 2344 + }, + { + "epoch": 0.32, + "learning_rate": 8.017053167942294e-06, + "loss": 0.4956, + "step": 2345 + }, + { + "epoch": 0.32, + "learning_rate": 8.01531773740635e-06, + "loss": 0.4842, + "step": 2346 + }, + { + "epoch": 0.32, + "learning_rate": 8.01358173581435e-06, + "loss": 0.4698, + "step": 2347 + }, + { + "epoch": 0.32, + "learning_rate": 8.011845163495079e-06, + "loss": 0.4864, + "step": 2348 + }, + { + "epoch": 0.32, + "learning_rate": 8.010108020777406e-06, + "loss": 0.5051, + "step": 2349 + }, + { + "epoch": 0.32, + "learning_rate": 8.008370307990327e-06, + "loss": 0.4981, + "step": 2350 + }, + { + "epoch": 0.32, + "learning_rate": 8.006632025462937e-06, + "loss": 0.4913, + "step": 2351 + }, + { + "epoch": 0.32, + "learning_rate": 8.004893173524438e-06, + "loss": 0.4542, + "step": 2352 + }, + { + "epoch": 0.32, + "learning_rate": 8.003153752504146e-06, + "loss": 0.4826, + "step": 2353 + }, + { + "epoch": 0.32, + "learning_rate": 8.001413762731483e-06, + "loss": 0.4775, + "step": 2354 + }, + { + "epoch": 0.32, + "learning_rate": 7.999673204535972e-06, + "loss": 0.4806, + "step": 2355 + }, + { + "epoch": 0.32, + "learning_rate": 7.99793207824725e-06, + "loss": 0.5266, + "step": 2356 + }, + { + "epoch": 0.32, + "learning_rate": 7.996190384195062e-06, + "loss": 0.502, + "step": 2357 + }, + { + "epoch": 0.32, + "learning_rate": 7.994448122709259e-06, + "loss": 0.4951, + "step": 2358 + }, + { + "epoch": 0.32, + "learning_rate": 7.992705294119796e-06, + "loss": 0.4798, + "step": 2359 + }, + { + "epoch": 0.32, + "learning_rate": 7.990961898756743e-06, + "loss": 0.504, + "step": 2360 + }, + { + "epoch": 0.32, + "learning_rate": 7.989217936950271e-06, + "loss": 0.501, + "step": 2361 + }, + { + "epoch": 0.32, + "learning_rate": 7.987473409030659e-06, + "loss": 0.5101, + "step": 2362 + }, + { + "epoch": 0.32, + "learning_rate": 7.985728315328296e-06, + "loss": 0.5109, + "step": 2363 + }, + { + "epoch": 0.32, + "learning_rate": 7.983982656173676e-06, + "loss": 0.4744, + "step": 2364 + }, + { + "epoch": 0.32, + "learning_rate": 7.982236431897402e-06, + "loss": 0.534, + "step": 2365 + }, + { + "epoch": 0.32, + "learning_rate": 7.98048964283018e-06, + "loss": 0.4763, + "step": 2366 + }, + { + "epoch": 0.32, + "learning_rate": 7.978742289302828e-06, + "loss": 0.4601, + "step": 2367 + }, + { + "epoch": 0.32, + "learning_rate": 7.976994371646268e-06, + "loss": 0.4806, + "step": 2368 + }, + { + "epoch": 0.32, + "learning_rate": 7.97524589019153e-06, + "loss": 0.4917, + "step": 2369 + }, + { + "epoch": 0.32, + "learning_rate": 7.973496845269748e-06, + "loss": 0.4698, + "step": 2370 + }, + { + "epoch": 0.32, + "learning_rate": 7.971747237212169e-06, + "loss": 0.4908, + "step": 2371 + }, + { + "epoch": 0.32, + "learning_rate": 7.969997066350139e-06, + "loss": 0.4764, + "step": 2372 + }, + { + "epoch": 0.32, + "learning_rate": 7.968246333015115e-06, + "loss": 0.4688, + "step": 2373 + }, + { + "epoch": 0.32, + "learning_rate": 7.966495037538663e-06, + "loss": 0.4993, + "step": 2374 + }, + { + "epoch": 0.32, + "learning_rate": 7.964743180252446e-06, + "loss": 0.5056, + "step": 2375 + }, + { + "epoch": 0.32, + "learning_rate": 7.962990761488243e-06, + "loss": 0.5218, + "step": 2376 + }, + { + "epoch": 0.32, + "learning_rate": 7.961237781577935e-06, + "loss": 0.4968, + "step": 2377 + }, + { + "epoch": 0.32, + "learning_rate": 7.959484240853512e-06, + "loss": 0.5153, + "step": 2378 + }, + { + "epoch": 0.32, + "learning_rate": 7.957730139647068e-06, + "loss": 0.4997, + "step": 2379 + }, + { + "epoch": 0.32, + "learning_rate": 7.9559754782908e-06, + "loss": 0.4939, + "step": 2380 + }, + { + "epoch": 0.32, + "learning_rate": 7.95422025711702e-06, + "loss": 0.4691, + "step": 2381 + }, + { + "epoch": 0.32, + "learning_rate": 7.952464476458137e-06, + "loss": 0.4939, + "step": 2382 + }, + { + "epoch": 0.32, + "learning_rate": 7.95070813664667e-06, + "loss": 0.4858, + "step": 2383 + }, + { + "epoch": 0.32, + "learning_rate": 7.948951238015244e-06, + "loss": 0.4709, + "step": 2384 + }, + { + "epoch": 0.32, + "learning_rate": 7.94719378089659e-06, + "loss": 0.4986, + "step": 2385 + }, + { + "epoch": 0.32, + "learning_rate": 7.945435765623543e-06, + "loss": 0.4794, + "step": 2386 + }, + { + "epoch": 0.32, + "learning_rate": 7.943677192529044e-06, + "loss": 0.495, + "step": 2387 + }, + { + "epoch": 0.32, + "learning_rate": 7.941918061946144e-06, + "loss": 0.4954, + "step": 2388 + }, + { + "epoch": 0.32, + "learning_rate": 7.940158374207991e-06, + "loss": 0.4673, + "step": 2389 + }, + { + "epoch": 0.32, + "learning_rate": 7.938398129647847e-06, + "loss": 0.4705, + "step": 2390 + }, + { + "epoch": 0.32, + "learning_rate": 7.936637328599075e-06, + "loss": 0.4965, + "step": 2391 + }, + { + "epoch": 0.32, + "learning_rate": 7.934875971395147e-06, + "loss": 0.524, + "step": 2392 + }, + { + "epoch": 0.32, + "learning_rate": 7.93311405836963e-06, + "loss": 0.4878, + "step": 2393 + }, + { + "epoch": 0.32, + "learning_rate": 7.931351589856212e-06, + "loss": 0.509, + "step": 2394 + }, + { + "epoch": 0.32, + "learning_rate": 7.929588566188675e-06, + "loss": 0.4791, + "step": 2395 + }, + { + "epoch": 0.32, + "learning_rate": 7.92782498770091e-06, + "loss": 0.4917, + "step": 2396 + }, + { + "epoch": 0.32, + "learning_rate": 7.926060854726911e-06, + "loss": 0.5021, + "step": 2397 + }, + { + "epoch": 0.32, + "learning_rate": 7.92429616760078e-06, + "loss": 0.4775, + "step": 2398 + }, + { + "epoch": 0.32, + "learning_rate": 7.92253092665672e-06, + "loss": 0.4901, + "step": 2399 + }, + { + "epoch": 0.32, + "learning_rate": 7.920765132229044e-06, + "loss": 0.4874, + "step": 2400 + }, + { + "epoch": 0.32, + "learning_rate": 7.918998784652165e-06, + "loss": 0.5074, + "step": 2401 + }, + { + "epoch": 0.32, + "learning_rate": 7.917231884260605e-06, + "loss": 0.5032, + "step": 2402 + }, + { + "epoch": 0.32, + "learning_rate": 7.915464431388986e-06, + "loss": 0.4779, + "step": 2403 + }, + { + "epoch": 0.32, + "learning_rate": 7.91369642637204e-06, + "loss": 0.509, + "step": 2404 + }, + { + "epoch": 0.32, + "learning_rate": 7.911927869544598e-06, + "loss": 0.4697, + "step": 2405 + }, + { + "epoch": 0.32, + "learning_rate": 7.910158761241597e-06, + "loss": 0.4983, + "step": 2406 + }, + { + "epoch": 0.32, + "learning_rate": 7.908389101798083e-06, + "loss": 0.4664, + "step": 2407 + }, + { + "epoch": 0.32, + "learning_rate": 7.906618891549203e-06, + "loss": 0.4841, + "step": 2408 + }, + { + "epoch": 0.32, + "learning_rate": 7.904848130830207e-06, + "loss": 0.4775, + "step": 2409 + }, + { + "epoch": 0.32, + "learning_rate": 7.90307681997645e-06, + "loss": 0.4991, + "step": 2410 + }, + { + "epoch": 0.32, + "learning_rate": 7.901304959323393e-06, + "loss": 0.5236, + "step": 2411 + }, + { + "epoch": 0.32, + "learning_rate": 7.899532549206599e-06, + "loss": 0.4783, + "step": 2412 + }, + { + "epoch": 0.32, + "learning_rate": 7.897759589961735e-06, + "loss": 0.4783, + "step": 2413 + }, + { + "epoch": 0.32, + "learning_rate": 7.895986081924576e-06, + "loss": 0.5108, + "step": 2414 + }, + { + "epoch": 0.32, + "learning_rate": 7.894212025430996e-06, + "loss": 0.4938, + "step": 2415 + }, + { + "epoch": 0.32, + "learning_rate": 7.892437420816973e-06, + "loss": 0.4737, + "step": 2416 + }, + { + "epoch": 0.32, + "learning_rate": 7.890662268418595e-06, + "loss": 0.4729, + "step": 2417 + }, + { + "epoch": 0.32, + "learning_rate": 7.888886568572045e-06, + "loss": 0.4919, + "step": 2418 + }, + { + "epoch": 0.33, + "learning_rate": 7.887110321613616e-06, + "loss": 0.4569, + "step": 2419 + }, + { + "epoch": 0.33, + "learning_rate": 7.885333527879702e-06, + "loss": 0.4771, + "step": 2420 + }, + { + "epoch": 0.33, + "learning_rate": 7.883556187706802e-06, + "loss": 0.5046, + "step": 2421 + }, + { + "epoch": 0.33, + "learning_rate": 7.881778301431517e-06, + "loss": 0.4872, + "step": 2422 + }, + { + "epoch": 0.33, + "learning_rate": 7.879999869390553e-06, + "loss": 0.4922, + "step": 2423 + }, + { + "epoch": 0.33, + "learning_rate": 7.878220891920716e-06, + "loss": 0.48, + "step": 2424 + }, + { + "epoch": 0.33, + "learning_rate": 7.876441369358918e-06, + "loss": 0.4792, + "step": 2425 + }, + { + "epoch": 0.33, + "learning_rate": 7.874661302042179e-06, + "loss": 0.4991, + "step": 2426 + }, + { + "epoch": 0.33, + "learning_rate": 7.87288069030761e-06, + "loss": 0.5377, + "step": 2427 + }, + { + "epoch": 0.33, + "learning_rate": 7.871099534492437e-06, + "loss": 0.4888, + "step": 2428 + }, + { + "epoch": 0.33, + "learning_rate": 7.869317834933982e-06, + "loss": 0.4548, + "step": 2429 + }, + { + "epoch": 0.33, + "learning_rate": 7.867535591969675e-06, + "loss": 0.5004, + "step": 2430 + }, + { + "epoch": 0.33, + "learning_rate": 7.865752805937042e-06, + "loss": 0.5137, + "step": 2431 + }, + { + "epoch": 0.33, + "learning_rate": 7.863969477173717e-06, + "loss": 0.4959, + "step": 2432 + }, + { + "epoch": 0.33, + "learning_rate": 7.862185606017438e-06, + "loss": 0.5158, + "step": 2433 + }, + { + "epoch": 0.33, + "learning_rate": 7.860401192806044e-06, + "loss": 0.4957, + "step": 2434 + }, + { + "epoch": 0.33, + "learning_rate": 7.858616237877472e-06, + "loss": 0.4723, + "step": 2435 + }, + { + "epoch": 0.33, + "learning_rate": 7.85683074156977e-06, + "loss": 0.4472, + "step": 2436 + }, + { + "epoch": 0.33, + "learning_rate": 7.855044704221082e-06, + "loss": 0.5023, + "step": 2437 + }, + { + "epoch": 0.33, + "learning_rate": 7.853258126169655e-06, + "loss": 0.4649, + "step": 2438 + }, + { + "epoch": 0.33, + "learning_rate": 7.851471007753846e-06, + "loss": 0.5043, + "step": 2439 + }, + { + "epoch": 0.33, + "learning_rate": 7.849683349312105e-06, + "loss": 0.4945, + "step": 2440 + }, + { + "epoch": 0.33, + "learning_rate": 7.847895151182985e-06, + "loss": 0.5002, + "step": 2441 + }, + { + "epoch": 0.33, + "learning_rate": 7.84610641370515e-06, + "loss": 0.4701, + "step": 2442 + }, + { + "epoch": 0.33, + "learning_rate": 7.844317137217354e-06, + "loss": 0.4946, + "step": 2443 + }, + { + "epoch": 0.33, + "learning_rate": 7.842527322058463e-06, + "loss": 0.5095, + "step": 2444 + }, + { + "epoch": 0.33, + "learning_rate": 7.84073696856744e-06, + "loss": 0.5034, + "step": 2445 + }, + { + "epoch": 0.33, + "learning_rate": 7.838946077083349e-06, + "loss": 0.4793, + "step": 2446 + }, + { + "epoch": 0.33, + "learning_rate": 7.837154647945364e-06, + "loss": 0.4676, + "step": 2447 + }, + { + "epoch": 0.33, + "learning_rate": 7.835362681492749e-06, + "loss": 0.5164, + "step": 2448 + }, + { + "epoch": 0.33, + "learning_rate": 7.833570178064878e-06, + "loss": 0.5048, + "step": 2449 + }, + { + "epoch": 0.33, + "learning_rate": 7.831777138001224e-06, + "loss": 0.503, + "step": 2450 + }, + { + "epoch": 0.33, + "learning_rate": 7.829983561641364e-06, + "loss": 0.5012, + "step": 2451 + }, + { + "epoch": 0.33, + "learning_rate": 7.82818944932497e-06, + "loss": 0.5087, + "step": 2452 + }, + { + "epoch": 0.33, + "learning_rate": 7.826394801391824e-06, + "loss": 0.5064, + "step": 2453 + }, + { + "epoch": 0.33, + "learning_rate": 7.824599618181804e-06, + "loss": 0.5161, + "step": 2454 + }, + { + "epoch": 0.33, + "learning_rate": 7.822803900034893e-06, + "loss": 0.4718, + "step": 2455 + }, + { + "epoch": 0.33, + "learning_rate": 7.821007647291168e-06, + "loss": 0.4799, + "step": 2456 + }, + { + "epoch": 0.33, + "learning_rate": 7.819210860290817e-06, + "loss": 0.506, + "step": 2457 + }, + { + "epoch": 0.33, + "learning_rate": 7.817413539374121e-06, + "loss": 0.4879, + "step": 2458 + }, + { + "epoch": 0.33, + "learning_rate": 7.81561568488147e-06, + "loss": 0.4988, + "step": 2459 + }, + { + "epoch": 0.33, + "learning_rate": 7.813817297153347e-06, + "loss": 0.5012, + "step": 2460 + }, + { + "epoch": 0.33, + "learning_rate": 7.812018376530341e-06, + "loss": 0.476, + "step": 2461 + }, + { + "epoch": 0.33, + "learning_rate": 7.810218923353143e-06, + "loss": 0.5007, + "step": 2462 + }, + { + "epoch": 0.33, + "learning_rate": 7.808418937962538e-06, + "loss": 0.5014, + "step": 2463 + }, + { + "epoch": 0.33, + "learning_rate": 7.806618420699418e-06, + "loss": 0.5214, + "step": 2464 + }, + { + "epoch": 0.33, + "learning_rate": 7.804817371904778e-06, + "loss": 0.486, + "step": 2465 + }, + { + "epoch": 0.33, + "learning_rate": 7.803015791919704e-06, + "loss": 0.4974, + "step": 2466 + }, + { + "epoch": 0.33, + "learning_rate": 7.801213681085391e-06, + "loss": 0.4774, + "step": 2467 + }, + { + "epoch": 0.33, + "learning_rate": 7.799411039743132e-06, + "loss": 0.5032, + "step": 2468 + }, + { + "epoch": 0.33, + "learning_rate": 7.79760786823432e-06, + "loss": 0.4766, + "step": 2469 + }, + { + "epoch": 0.33, + "learning_rate": 7.795804166900448e-06, + "loss": 0.479, + "step": 2470 + }, + { + "epoch": 0.33, + "learning_rate": 7.793999936083108e-06, + "loss": 0.5023, + "step": 2471 + }, + { + "epoch": 0.33, + "learning_rate": 7.792195176123999e-06, + "loss": 0.492, + "step": 2472 + }, + { + "epoch": 0.33, + "learning_rate": 7.790389887364913e-06, + "loss": 0.5003, + "step": 2473 + }, + { + "epoch": 0.33, + "learning_rate": 7.788584070147745e-06, + "loss": 0.4889, + "step": 2474 + }, + { + "epoch": 0.33, + "learning_rate": 7.786777724814489e-06, + "loss": 0.4931, + "step": 2475 + }, + { + "epoch": 0.33, + "learning_rate": 7.784970851707241e-06, + "loss": 0.4899, + "step": 2476 + }, + { + "epoch": 0.33, + "learning_rate": 7.783163451168195e-06, + "loss": 0.4852, + "step": 2477 + }, + { + "epoch": 0.33, + "learning_rate": 7.781355523539647e-06, + "loss": 0.496, + "step": 2478 + }, + { + "epoch": 0.33, + "learning_rate": 7.779547069163988e-06, + "loss": 0.4788, + "step": 2479 + }, + { + "epoch": 0.33, + "learning_rate": 7.777738088383718e-06, + "loss": 0.4774, + "step": 2480 + }, + { + "epoch": 0.33, + "learning_rate": 7.775928581541423e-06, + "loss": 0.5068, + "step": 2481 + }, + { + "epoch": 0.33, + "learning_rate": 7.774118548979803e-06, + "loss": 0.5317, + "step": 2482 + }, + { + "epoch": 0.33, + "learning_rate": 7.77230799104165e-06, + "loss": 0.5004, + "step": 2483 + }, + { + "epoch": 0.33, + "learning_rate": 7.770496908069854e-06, + "loss": 0.4954, + "step": 2484 + }, + { + "epoch": 0.33, + "learning_rate": 7.768685300407409e-06, + "loss": 0.5091, + "step": 2485 + }, + { + "epoch": 0.33, + "learning_rate": 7.766873168397403e-06, + "loss": 0.488, + "step": 2486 + }, + { + "epoch": 0.33, + "learning_rate": 7.765060512383034e-06, + "loss": 0.4843, + "step": 2487 + }, + { + "epoch": 0.33, + "learning_rate": 7.763247332707585e-06, + "loss": 0.4974, + "step": 2488 + }, + { + "epoch": 0.33, + "learning_rate": 7.761433629714448e-06, + "loss": 0.4662, + "step": 2489 + }, + { + "epoch": 0.33, + "learning_rate": 7.759619403747112e-06, + "loss": 0.5285, + "step": 2490 + }, + { + "epoch": 0.33, + "learning_rate": 7.757804655149161e-06, + "loss": 0.4932, + "step": 2491 + }, + { + "epoch": 0.33, + "learning_rate": 7.755989384264284e-06, + "loss": 0.4809, + "step": 2492 + }, + { + "epoch": 0.33, + "learning_rate": 7.754173591436267e-06, + "loss": 0.5207, + "step": 2493 + }, + { + "epoch": 0.34, + "learning_rate": 7.75235727700899e-06, + "loss": 0.488, + "step": 2494 + }, + { + "epoch": 0.34, + "learning_rate": 7.75054044132644e-06, + "loss": 0.5072, + "step": 2495 + }, + { + "epoch": 0.34, + "learning_rate": 7.748723084732694e-06, + "loss": 0.4713, + "step": 2496 + }, + { + "epoch": 0.34, + "learning_rate": 7.746905207571936e-06, + "loss": 0.5122, + "step": 2497 + }, + { + "epoch": 0.34, + "learning_rate": 7.745086810188445e-06, + "loss": 0.4669, + "step": 2498 + }, + { + "epoch": 0.34, + "learning_rate": 7.743267892926596e-06, + "loss": 0.4768, + "step": 2499 + }, + { + "epoch": 0.34, + "learning_rate": 7.741448456130864e-06, + "loss": 0.5019, + "step": 2500 + }, + { + "epoch": 0.34, + "learning_rate": 7.739628500145826e-06, + "loss": 0.497, + "step": 2501 + }, + { + "epoch": 0.34, + "learning_rate": 7.737808025316154e-06, + "loss": 0.497, + "step": 2502 + }, + { + "epoch": 0.34, + "learning_rate": 7.735987031986613e-06, + "loss": 0.5052, + "step": 2503 + }, + { + "epoch": 0.34, + "learning_rate": 7.734165520502082e-06, + "loss": 0.4939, + "step": 2504 + }, + { + "epoch": 0.34, + "learning_rate": 7.73234349120752e-06, + "loss": 0.4917, + "step": 2505 + }, + { + "epoch": 0.34, + "learning_rate": 7.730520944447994e-06, + "loss": 0.4758, + "step": 2506 + }, + { + "epoch": 0.34, + "learning_rate": 7.72869788056867e-06, + "loss": 0.4853, + "step": 2507 + }, + { + "epoch": 0.34, + "learning_rate": 7.726874299914805e-06, + "loss": 0.4678, + "step": 2508 + }, + { + "epoch": 0.34, + "learning_rate": 7.72505020283176e-06, + "loss": 0.4728, + "step": 2509 + }, + { + "epoch": 0.34, + "learning_rate": 7.72322558966499e-06, + "loss": 0.4761, + "step": 2510 + }, + { + "epoch": 0.34, + "learning_rate": 7.721400460760052e-06, + "loss": 0.4568, + "step": 2511 + }, + { + "epoch": 0.34, + "learning_rate": 7.719574816462597e-06, + "loss": 0.479, + "step": 2512 + }, + { + "epoch": 0.34, + "learning_rate": 7.717748657118374e-06, + "loss": 0.5086, + "step": 2513 + }, + { + "epoch": 0.34, + "learning_rate": 7.715921983073231e-06, + "loss": 0.5089, + "step": 2514 + }, + { + "epoch": 0.34, + "learning_rate": 7.714094794673112e-06, + "loss": 0.5122, + "step": 2515 + }, + { + "epoch": 0.34, + "learning_rate": 7.71226709226406e-06, + "loss": 0.5041, + "step": 2516 + }, + { + "epoch": 0.34, + "learning_rate": 7.710438876192215e-06, + "loss": 0.4945, + "step": 2517 + }, + { + "epoch": 0.34, + "learning_rate": 7.708610146803812e-06, + "loss": 0.5252, + "step": 2518 + }, + { + "epoch": 0.34, + "learning_rate": 7.706780904445185e-06, + "loss": 0.4786, + "step": 2519 + }, + { + "epoch": 0.34, + "learning_rate": 7.704951149462768e-06, + "loss": 0.4779, + "step": 2520 + }, + { + "epoch": 0.34, + "learning_rate": 7.703120882203086e-06, + "loss": 0.4922, + "step": 2521 + }, + { + "epoch": 0.34, + "learning_rate": 7.701290103012765e-06, + "loss": 0.537, + "step": 2522 + }, + { + "epoch": 0.34, + "learning_rate": 7.699458812238528e-06, + "loss": 0.4873, + "step": 2523 + }, + { + "epoch": 0.34, + "learning_rate": 7.697627010227194e-06, + "loss": 0.4955, + "step": 2524 + }, + { + "epoch": 0.34, + "learning_rate": 7.695794697325678e-06, + "loss": 0.477, + "step": 2525 + }, + { + "epoch": 0.34, + "learning_rate": 7.693961873880993e-06, + "loss": 0.4657, + "step": 2526 + }, + { + "epoch": 0.34, + "learning_rate": 7.692128540240248e-06, + "loss": 0.501, + "step": 2527 + }, + { + "epoch": 0.34, + "learning_rate": 7.690294696750651e-06, + "loss": 0.4687, + "step": 2528 + }, + { + "epoch": 0.34, + "learning_rate": 7.688460343759502e-06, + "loss": 0.5239, + "step": 2529 + }, + { + "epoch": 0.34, + "learning_rate": 7.686625481614201e-06, + "loss": 0.4889, + "step": 2530 + }, + { + "epoch": 0.34, + "learning_rate": 7.684790110662243e-06, + "loss": 0.5037, + "step": 2531 + }, + { + "epoch": 0.34, + "learning_rate": 7.682954231251221e-06, + "loss": 0.5099, + "step": 2532 + }, + { + "epoch": 0.34, + "learning_rate": 7.681117843728822e-06, + "loss": 0.4652, + "step": 2533 + }, + { + "epoch": 0.34, + "learning_rate": 7.679280948442832e-06, + "loss": 0.4894, + "step": 2534 + }, + { + "epoch": 0.34, + "learning_rate": 7.677443545741127e-06, + "loss": 0.4911, + "step": 2535 + }, + { + "epoch": 0.34, + "learning_rate": 7.675605635971688e-06, + "loss": 0.4735, + "step": 2536 + }, + { + "epoch": 0.34, + "learning_rate": 7.673767219482588e-06, + "loss": 0.4505, + "step": 2537 + }, + { + "epoch": 0.34, + "learning_rate": 7.671928296621992e-06, + "loss": 0.4647, + "step": 2538 + }, + { + "epoch": 0.34, + "learning_rate": 7.670088867738166e-06, + "loss": 0.5169, + "step": 2539 + }, + { + "epoch": 0.34, + "learning_rate": 7.668248933179471e-06, + "loss": 0.4902, + "step": 2540 + }, + { + "epoch": 0.34, + "learning_rate": 7.666408493294364e-06, + "loss": 0.4917, + "step": 2541 + }, + { + "epoch": 0.34, + "learning_rate": 7.664567548431393e-06, + "loss": 0.4871, + "step": 2542 + }, + { + "epoch": 0.34, + "learning_rate": 7.662726098939211e-06, + "loss": 0.4774, + "step": 2543 + }, + { + "epoch": 0.34, + "learning_rate": 7.660884145166556e-06, + "loss": 0.4763, + "step": 2544 + }, + { + "epoch": 0.34, + "learning_rate": 7.659041687462268e-06, + "loss": 0.4817, + "step": 2545 + }, + { + "epoch": 0.34, + "learning_rate": 7.657198726175279e-06, + "loss": 0.4436, + "step": 2546 + }, + { + "epoch": 0.34, + "learning_rate": 7.655355261654625e-06, + "loss": 0.4917, + "step": 2547 + }, + { + "epoch": 0.34, + "learning_rate": 7.653511294249423e-06, + "loss": 0.4938, + "step": 2548 + }, + { + "epoch": 0.34, + "learning_rate": 7.651666824308895e-06, + "loss": 0.4923, + "step": 2549 + }, + { + "epoch": 0.34, + "learning_rate": 7.64982185218236e-06, + "loss": 0.5017, + "step": 2550 + }, + { + "epoch": 0.34, + "learning_rate": 7.647976378219223e-06, + "loss": 0.5111, + "step": 2551 + }, + { + "epoch": 0.34, + "learning_rate": 7.646130402768991e-06, + "loss": 0.5189, + "step": 2552 + }, + { + "epoch": 0.34, + "learning_rate": 7.644283926181265e-06, + "loss": 0.4814, + "step": 2553 + }, + { + "epoch": 0.34, + "learning_rate": 7.64243694880574e-06, + "loss": 0.5259, + "step": 2554 + }, + { + "epoch": 0.34, + "learning_rate": 7.640589470992204e-06, + "loss": 0.4661, + "step": 2555 + }, + { + "epoch": 0.34, + "learning_rate": 7.638741493090543e-06, + "loss": 0.4893, + "step": 2556 + }, + { + "epoch": 0.34, + "learning_rate": 7.636893015450735e-06, + "loss": 0.4919, + "step": 2557 + }, + { + "epoch": 0.34, + "learning_rate": 7.635044038422857e-06, + "loss": 0.4753, + "step": 2558 + }, + { + "epoch": 0.34, + "learning_rate": 7.633194562357076e-06, + "loss": 0.4848, + "step": 2559 + }, + { + "epoch": 0.34, + "learning_rate": 7.631344587603653e-06, + "loss": 0.4823, + "step": 2560 + }, + { + "epoch": 0.34, + "learning_rate": 7.629494114512948e-06, + "loss": 0.4959, + "step": 2561 + }, + { + "epoch": 0.34, + "learning_rate": 7.627643143435412e-06, + "loss": 0.4526, + "step": 2562 + }, + { + "epoch": 0.34, + "learning_rate": 7.6257916747215924e-06, + "loss": 0.4573, + "step": 2563 + }, + { + "epoch": 0.34, + "learning_rate": 7.623939708722129e-06, + "loss": 0.4873, + "step": 2564 + }, + { + "epoch": 0.34, + "learning_rate": 7.622087245787755e-06, + "loss": 0.5207, + "step": 2565 + }, + { + "epoch": 0.34, + "learning_rate": 7.620234286269301e-06, + "loss": 0.4539, + "step": 2566 + }, + { + "epoch": 0.34, + "learning_rate": 7.618380830517689e-06, + "loss": 0.5031, + "step": 2567 + }, + { + "epoch": 0.35, + "learning_rate": 7.616526878883937e-06, + "loss": 0.4265, + "step": 2568 + }, + { + "epoch": 0.35, + "learning_rate": 7.614672431719152e-06, + "loss": 0.4644, + "step": 2569 + }, + { + "epoch": 0.35, + "learning_rate": 7.612817489374544e-06, + "loss": 0.4727, + "step": 2570 + }, + { + "epoch": 0.35, + "learning_rate": 7.610962052201407e-06, + "loss": 0.453, + "step": 2571 + }, + { + "epoch": 0.35, + "learning_rate": 7.609106120551134e-06, + "loss": 0.471, + "step": 2572 + }, + { + "epoch": 0.35, + "learning_rate": 7.607249694775212e-06, + "loss": 0.461, + "step": 2573 + }, + { + "epoch": 0.35, + "learning_rate": 7.60539277522522e-06, + "loss": 0.5018, + "step": 2574 + }, + { + "epoch": 0.35, + "learning_rate": 7.603535362252829e-06, + "loss": 0.4931, + "step": 2575 + }, + { + "epoch": 0.35, + "learning_rate": 7.6016774562098075e-06, + "loss": 0.4835, + "step": 2576 + }, + { + "epoch": 0.35, + "learning_rate": 7.599819057448013e-06, + "loss": 0.5095, + "step": 2577 + }, + { + "epoch": 0.35, + "learning_rate": 7.597960166319399e-06, + "loss": 0.5092, + "step": 2578 + }, + { + "epoch": 0.35, + "learning_rate": 7.596100783176015e-06, + "loss": 0.509, + "step": 2579 + }, + { + "epoch": 0.35, + "learning_rate": 7.594240908369994e-06, + "loss": 0.4765, + "step": 2580 + }, + { + "epoch": 0.35, + "learning_rate": 7.592380542253572e-06, + "loss": 0.4715, + "step": 2581 + }, + { + "epoch": 0.35, + "learning_rate": 7.590519685179078e-06, + "loss": 0.4772, + "step": 2582 + }, + { + "epoch": 0.35, + "learning_rate": 7.588658337498924e-06, + "loss": 0.495, + "step": 2583 + }, + { + "epoch": 0.35, + "learning_rate": 7.586796499565625e-06, + "loss": 0.4987, + "step": 2584 + }, + { + "epoch": 0.35, + "learning_rate": 7.5849341717317835e-06, + "loss": 0.4652, + "step": 2585 + }, + { + "epoch": 0.35, + "learning_rate": 7.5830713543501e-06, + "loss": 0.4804, + "step": 2586 + }, + { + "epoch": 0.35, + "learning_rate": 7.5812080477733585e-06, + "loss": 0.5087, + "step": 2587 + }, + { + "epoch": 0.35, + "learning_rate": 7.579344252354446e-06, + "loss": 0.4732, + "step": 2588 + }, + { + "epoch": 0.35, + "learning_rate": 7.577479968446337e-06, + "loss": 0.4628, + "step": 2589 + }, + { + "epoch": 0.35, + "learning_rate": 7.575615196402097e-06, + "loss": 0.4993, + "step": 2590 + }, + { + "epoch": 0.35, + "learning_rate": 7.573749936574888e-06, + "loss": 0.5048, + "step": 2591 + }, + { + "epoch": 0.35, + "learning_rate": 7.57188418931796e-06, + "loss": 0.4651, + "step": 2592 + }, + { + "epoch": 0.35, + "learning_rate": 7.570017954984659e-06, + "loss": 0.5156, + "step": 2593 + }, + { + "epoch": 0.35, + "learning_rate": 7.568151233928422e-06, + "loss": 0.5021, + "step": 2594 + }, + { + "epoch": 0.35, + "learning_rate": 7.5662840265027794e-06, + "loss": 0.469, + "step": 2595 + }, + { + "epoch": 0.35, + "learning_rate": 7.564416333061349e-06, + "loss": 0.5127, + "step": 2596 + }, + { + "epoch": 0.35, + "learning_rate": 7.562548153957845e-06, + "loss": 0.4597, + "step": 2597 + }, + { + "epoch": 0.35, + "learning_rate": 7.5606794895460744e-06, + "loss": 0.4939, + "step": 2598 + }, + { + "epoch": 0.35, + "learning_rate": 7.558810340179932e-06, + "loss": 0.5069, + "step": 2599 + }, + { + "epoch": 0.35, + "learning_rate": 7.55694070621341e-06, + "loss": 0.5011, + "step": 2600 + }, + { + "epoch": 0.35, + "learning_rate": 7.555070588000585e-06, + "loss": 0.4746, + "step": 2601 + }, + { + "epoch": 0.35, + "learning_rate": 7.553199985895632e-06, + "loss": 0.489, + "step": 2602 + }, + { + "epoch": 0.35, + "learning_rate": 7.551328900252814e-06, + "loss": 0.496, + "step": 2603 + }, + { + "epoch": 0.35, + "learning_rate": 7.549457331426486e-06, + "loss": 0.4621, + "step": 2604 + }, + { + "epoch": 0.35, + "learning_rate": 7.547585279771098e-06, + "loss": 0.5236, + "step": 2605 + }, + { + "epoch": 0.35, + "learning_rate": 7.545712745641187e-06, + "loss": 0.5005, + "step": 2606 + }, + { + "epoch": 0.35, + "learning_rate": 7.543839729391383e-06, + "loss": 0.4994, + "step": 2607 + }, + { + "epoch": 0.35, + "learning_rate": 7.541966231376403e-06, + "loss": 0.4864, + "step": 2608 + }, + { + "epoch": 0.35, + "learning_rate": 7.5400922519510655e-06, + "loss": 0.4673, + "step": 2609 + }, + { + "epoch": 0.35, + "learning_rate": 7.5382177914702735e-06, + "loss": 0.4866, + "step": 2610 + }, + { + "epoch": 0.35, + "learning_rate": 7.536342850289018e-06, + "loss": 0.5065, + "step": 2611 + }, + { + "epoch": 0.35, + "learning_rate": 7.5344674287623886e-06, + "loss": 0.4775, + "step": 2612 + }, + { + "epoch": 0.35, + "learning_rate": 7.532591527245561e-06, + "loss": 0.4747, + "step": 2613 + }, + { + "epoch": 0.35, + "learning_rate": 7.530715146093799e-06, + "loss": 0.4905, + "step": 2614 + }, + { + "epoch": 0.35, + "learning_rate": 7.5288382856624675e-06, + "loss": 0.5099, + "step": 2615 + }, + { + "epoch": 0.35, + "learning_rate": 7.5269609463070135e-06, + "loss": 0.4949, + "step": 2616 + }, + { + "epoch": 0.35, + "learning_rate": 7.525083128382974e-06, + "loss": 0.4908, + "step": 2617 + }, + { + "epoch": 0.35, + "learning_rate": 7.523204832245983e-06, + "loss": 0.4807, + "step": 2618 + }, + { + "epoch": 0.35, + "learning_rate": 7.52132605825176e-06, + "loss": 0.4765, + "step": 2619 + }, + { + "epoch": 0.35, + "learning_rate": 7.519446806756117e-06, + "loss": 0.5246, + "step": 2620 + }, + { + "epoch": 0.35, + "learning_rate": 7.517567078114957e-06, + "loss": 0.5095, + "step": 2621 + }, + { + "epoch": 0.35, + "learning_rate": 7.515686872684271e-06, + "loss": 0.4884, + "step": 2622 + }, + { + "epoch": 0.35, + "learning_rate": 7.513806190820143e-06, + "loss": 0.5037, + "step": 2623 + }, + { + "epoch": 0.35, + "learning_rate": 7.511925032878746e-06, + "loss": 0.4769, + "step": 2624 + }, + { + "epoch": 0.35, + "learning_rate": 7.510043399216342e-06, + "loss": 0.4866, + "step": 2625 + }, + { + "epoch": 0.35, + "learning_rate": 7.508161290189287e-06, + "loss": 0.4996, + "step": 2626 + }, + { + "epoch": 0.35, + "learning_rate": 7.5062787061540195e-06, + "loss": 0.4734, + "step": 2627 + }, + { + "epoch": 0.35, + "learning_rate": 7.504395647467077e-06, + "loss": 0.4878, + "step": 2628 + }, + { + "epoch": 0.35, + "learning_rate": 7.502512114485081e-06, + "loss": 0.4969, + "step": 2629 + }, + { + "epoch": 0.35, + "learning_rate": 7.500628107564743e-06, + "loss": 0.5043, + "step": 2630 + }, + { + "epoch": 0.35, + "learning_rate": 7.49874362706287e-06, + "loss": 0.4761, + "step": 2631 + }, + { + "epoch": 0.35, + "learning_rate": 7.496858673336349e-06, + "loss": 0.5028, + "step": 2632 + }, + { + "epoch": 0.35, + "learning_rate": 7.494973246742168e-06, + "loss": 0.4783, + "step": 2633 + }, + { + "epoch": 0.35, + "learning_rate": 7.4930873476373925e-06, + "loss": 0.5162, + "step": 2634 + }, + { + "epoch": 0.35, + "learning_rate": 7.491200976379186e-06, + "loss": 0.5091, + "step": 2635 + }, + { + "epoch": 0.35, + "learning_rate": 7.489314133324801e-06, + "loss": 0.4927, + "step": 2636 + }, + { + "epoch": 0.35, + "learning_rate": 7.487426818831576e-06, + "loss": 0.4974, + "step": 2637 + }, + { + "epoch": 0.35, + "learning_rate": 7.4855390332569375e-06, + "loss": 0.4968, + "step": 2638 + }, + { + "epoch": 0.35, + "learning_rate": 7.483650776958409e-06, + "loss": 0.4727, + "step": 2639 + }, + { + "epoch": 0.35, + "learning_rate": 7.481762050293593e-06, + "loss": 0.4778, + "step": 2640 + }, + { + "epoch": 0.35, + "learning_rate": 7.479872853620189e-06, + "loss": 0.5042, + "step": 2641 + }, + { + "epoch": 0.35, + "learning_rate": 7.477983187295982e-06, + "loss": 0.4743, + "step": 2642 + }, + { + "epoch": 0.36, + "learning_rate": 7.476093051678846e-06, + "loss": 0.5101, + "step": 2643 + }, + { + "epoch": 0.36, + "learning_rate": 7.4742024471267445e-06, + "loss": 0.4687, + "step": 2644 + }, + { + "epoch": 0.36, + "learning_rate": 7.47231137399773e-06, + "loss": 0.4488, + "step": 2645 + }, + { + "epoch": 0.36, + "learning_rate": 7.470419832649944e-06, + "loss": 0.4709, + "step": 2646 + }, + { + "epoch": 0.36, + "learning_rate": 7.4685278234416146e-06, + "loss": 0.512, + "step": 2647 + }, + { + "epoch": 0.36, + "learning_rate": 7.4666353467310605e-06, + "loss": 0.4765, + "step": 2648 + }, + { + "epoch": 0.36, + "learning_rate": 7.46474240287669e-06, + "loss": 0.4812, + "step": 2649 + }, + { + "epoch": 0.36, + "learning_rate": 7.462848992236996e-06, + "loss": 0.5011, + "step": 2650 + }, + { + "epoch": 0.36, + "learning_rate": 7.460955115170564e-06, + "loss": 0.4651, + "step": 2651 + }, + { + "epoch": 0.36, + "learning_rate": 7.459060772036066e-06, + "loss": 0.5075, + "step": 2652 + }, + { + "epoch": 0.36, + "learning_rate": 7.45716596319226e-06, + "loss": 0.4955, + "step": 2653 + }, + { + "epoch": 0.36, + "learning_rate": 7.455270688997996e-06, + "loss": 0.502, + "step": 2654 + }, + { + "epoch": 0.36, + "learning_rate": 7.4533749498122124e-06, + "loss": 0.4834, + "step": 2655 + }, + { + "epoch": 0.36, + "learning_rate": 7.45147874599393e-06, + "loss": 0.5186, + "step": 2656 + }, + { + "epoch": 0.36, + "learning_rate": 7.4495820779022645e-06, + "loss": 0.493, + "step": 2657 + }, + { + "epoch": 0.36, + "learning_rate": 7.447684945896414e-06, + "loss": 0.4641, + "step": 2658 + }, + { + "epoch": 0.36, + "learning_rate": 7.445787350335669e-06, + "loss": 0.4614, + "step": 2659 + }, + { + "epoch": 0.36, + "learning_rate": 7.443889291579405e-06, + "loss": 0.5186, + "step": 2660 + }, + { + "epoch": 0.36, + "learning_rate": 7.441990769987086e-06, + "loss": 0.4785, + "step": 2661 + }, + { + "epoch": 0.36, + "learning_rate": 7.4400917859182645e-06, + "loss": 0.4691, + "step": 2662 + }, + { + "epoch": 0.36, + "learning_rate": 7.438192339732576e-06, + "loss": 0.4727, + "step": 2663 + }, + { + "epoch": 0.36, + "learning_rate": 7.436292431789752e-06, + "loss": 0.479, + "step": 2664 + }, + { + "epoch": 0.36, + "learning_rate": 7.434392062449604e-06, + "loss": 0.4651, + "step": 2665 + }, + { + "epoch": 0.36, + "learning_rate": 7.4324912320720325e-06, + "loss": 0.4831, + "step": 2666 + }, + { + "epoch": 0.36, + "learning_rate": 7.43058994101703e-06, + "loss": 0.5149, + "step": 2667 + }, + { + "epoch": 0.36, + "learning_rate": 7.428688189644668e-06, + "loss": 0.4841, + "step": 2668 + }, + { + "epoch": 0.36, + "learning_rate": 7.426785978315113e-06, + "loss": 0.4895, + "step": 2669 + }, + { + "epoch": 0.36, + "learning_rate": 7.424883307388615e-06, + "loss": 0.5055, + "step": 2670 + }, + { + "epoch": 0.36, + "learning_rate": 7.422980177225512e-06, + "loss": 0.5041, + "step": 2671 + }, + { + "epoch": 0.36, + "learning_rate": 7.421076588186225e-06, + "loss": 0.5195, + "step": 2672 + }, + { + "epoch": 0.36, + "learning_rate": 7.419172540631267e-06, + "loss": 0.5152, + "step": 2673 + }, + { + "epoch": 0.36, + "learning_rate": 7.417268034921238e-06, + "loss": 0.502, + "step": 2674 + }, + { + "epoch": 0.36, + "learning_rate": 7.415363071416821e-06, + "loss": 0.4881, + "step": 2675 + }, + { + "epoch": 0.36, + "learning_rate": 7.413457650478787e-06, + "loss": 0.4988, + "step": 2676 + }, + { + "epoch": 0.36, + "learning_rate": 7.411551772467998e-06, + "loss": 0.488, + "step": 2677 + }, + { + "epoch": 0.36, + "learning_rate": 7.409645437745393e-06, + "loss": 0.4822, + "step": 2678 + }, + { + "epoch": 0.36, + "learning_rate": 7.407738646672007e-06, + "loss": 0.5142, + "step": 2679 + }, + { + "epoch": 0.36, + "learning_rate": 7.405831399608958e-06, + "loss": 0.4942, + "step": 2680 + }, + { + "epoch": 0.36, + "learning_rate": 7.403923696917448e-06, + "loss": 0.4852, + "step": 2681 + }, + { + "epoch": 0.36, + "learning_rate": 7.402015538958769e-06, + "loss": 0.4733, + "step": 2682 + }, + { + "epoch": 0.36, + "learning_rate": 7.400106926094297e-06, + "loss": 0.481, + "step": 2683 + }, + { + "epoch": 0.36, + "learning_rate": 7.398197858685494e-06, + "loss": 0.4983, + "step": 2684 + }, + { + "epoch": 0.36, + "learning_rate": 7.39628833709391e-06, + "loss": 0.4979, + "step": 2685 + }, + { + "epoch": 0.36, + "learning_rate": 7.3943783616811784e-06, + "loss": 0.5144, + "step": 2686 + }, + { + "epoch": 0.36, + "learning_rate": 7.392467932809021e-06, + "loss": 0.5058, + "step": 2687 + }, + { + "epoch": 0.36, + "learning_rate": 7.390557050839244e-06, + "loss": 0.4611, + "step": 2688 + }, + { + "epoch": 0.36, + "learning_rate": 7.388645716133741e-06, + "loss": 0.4884, + "step": 2689 + }, + { + "epoch": 0.36, + "learning_rate": 7.3867339290544884e-06, + "loss": 0.5136, + "step": 2690 + }, + { + "epoch": 0.36, + "learning_rate": 7.384821689963552e-06, + "loss": 0.4905, + "step": 2691 + }, + { + "epoch": 0.36, + "learning_rate": 7.382908999223078e-06, + "loss": 0.4986, + "step": 2692 + }, + { + "epoch": 0.36, + "learning_rate": 7.380995857195305e-06, + "loss": 0.4772, + "step": 2693 + }, + { + "epoch": 0.36, + "learning_rate": 7.3790822642425515e-06, + "loss": 0.4858, + "step": 2694 + }, + { + "epoch": 0.36, + "learning_rate": 7.377168220727224e-06, + "loss": 0.4895, + "step": 2695 + }, + { + "epoch": 0.36, + "learning_rate": 7.375253727011814e-06, + "loss": 0.489, + "step": 2696 + }, + { + "epoch": 0.36, + "learning_rate": 7.373338783458899e-06, + "loss": 0.4899, + "step": 2697 + }, + { + "epoch": 0.36, + "learning_rate": 7.371423390431139e-06, + "loss": 0.5233, + "step": 2698 + }, + { + "epoch": 0.36, + "learning_rate": 7.369507548291277e-06, + "loss": 0.4999, + "step": 2699 + }, + { + "epoch": 0.36, + "learning_rate": 7.367591257402151e-06, + "loss": 0.487, + "step": 2700 + }, + { + "epoch": 0.36, + "learning_rate": 7.365674518126678e-06, + "loss": 0.4803, + "step": 2701 + }, + { + "epoch": 0.36, + "learning_rate": 7.363757330827854e-06, + "loss": 0.4425, + "step": 2702 + }, + { + "epoch": 0.36, + "learning_rate": 7.361839695868771e-06, + "loss": 0.4877, + "step": 2703 + }, + { + "epoch": 0.36, + "learning_rate": 7.359921613612597e-06, + "loss": 0.4954, + "step": 2704 + }, + { + "epoch": 0.36, + "learning_rate": 7.358003084422589e-06, + "loss": 0.5015, + "step": 2705 + }, + { + "epoch": 0.36, + "learning_rate": 7.356084108662089e-06, + "loss": 0.4662, + "step": 2706 + }, + { + "epoch": 0.36, + "learning_rate": 7.354164686694523e-06, + "loss": 0.5061, + "step": 2707 + }, + { + "epoch": 0.36, + "learning_rate": 7.352244818883396e-06, + "loss": 0.5022, + "step": 2708 + }, + { + "epoch": 0.36, + "learning_rate": 7.350324505592308e-06, + "loss": 0.4847, + "step": 2709 + }, + { + "epoch": 0.36, + "learning_rate": 7.3484037471849335e-06, + "loss": 0.4942, + "step": 2710 + }, + { + "epoch": 0.36, + "learning_rate": 7.3464825440250375e-06, + "loss": 0.503, + "step": 2711 + }, + { + "epoch": 0.36, + "learning_rate": 7.344560896476465e-06, + "loss": 0.4646, + "step": 2712 + }, + { + "epoch": 0.36, + "learning_rate": 7.34263880490315e-06, + "loss": 0.5337, + "step": 2713 + }, + { + "epoch": 0.36, + "learning_rate": 7.340716269669107e-06, + "loss": 0.4884, + "step": 2714 + }, + { + "epoch": 0.36, + "learning_rate": 7.338793291138434e-06, + "loss": 0.5001, + "step": 2715 + }, + { + "epoch": 0.36, + "learning_rate": 7.336869869675317e-06, + "loss": 0.502, + "step": 2716 + }, + { + "epoch": 0.37, + "learning_rate": 7.33494600564402e-06, + "loss": 0.4763, + "step": 2717 + }, + { + "epoch": 0.37, + "learning_rate": 7.333021699408897e-06, + "loss": 0.5287, + "step": 2718 + }, + { + "epoch": 0.37, + "learning_rate": 7.331096951334381e-06, + "loss": 0.4834, + "step": 2719 + }, + { + "epoch": 0.37, + "learning_rate": 7.32917176178499e-06, + "loss": 0.4887, + "step": 2720 + }, + { + "epoch": 0.37, + "learning_rate": 7.327246131125328e-06, + "loss": 0.4696, + "step": 2721 + }, + { + "epoch": 0.37, + "learning_rate": 7.3253200597200805e-06, + "loss": 0.5018, + "step": 2722 + }, + { + "epoch": 0.37, + "learning_rate": 7.323393547934014e-06, + "loss": 0.5052, + "step": 2723 + }, + { + "epoch": 0.37, + "learning_rate": 7.321466596131985e-06, + "loss": 0.4971, + "step": 2724 + }, + { + "epoch": 0.37, + "learning_rate": 7.319539204678925e-06, + "loss": 0.5297, + "step": 2725 + }, + { + "epoch": 0.37, + "learning_rate": 7.317611373939856e-06, + "loss": 0.496, + "step": 2726 + }, + { + "epoch": 0.37, + "learning_rate": 7.315683104279881e-06, + "loss": 0.4884, + "step": 2727 + }, + { + "epoch": 0.37, + "learning_rate": 7.313754396064181e-06, + "loss": 0.4995, + "step": 2728 + }, + { + "epoch": 0.37, + "learning_rate": 7.311825249658029e-06, + "loss": 0.501, + "step": 2729 + }, + { + "epoch": 0.37, + "learning_rate": 7.309895665426775e-06, + "loss": 0.4746, + "step": 2730 + }, + { + "epoch": 0.37, + "learning_rate": 7.307965643735852e-06, + "loss": 0.4719, + "step": 2731 + }, + { + "epoch": 0.37, + "learning_rate": 7.306035184950779e-06, + "loss": 0.4648, + "step": 2732 + }, + { + "epoch": 0.37, + "learning_rate": 7.304104289437157e-06, + "loss": 0.5107, + "step": 2733 + }, + { + "epoch": 0.37, + "learning_rate": 7.302172957560666e-06, + "loss": 0.4756, + "step": 2734 + }, + { + "epoch": 0.37, + "learning_rate": 7.300241189687072e-06, + "loss": 0.4934, + "step": 2735 + }, + { + "epoch": 0.37, + "learning_rate": 7.298308986182224e-06, + "loss": 0.5016, + "step": 2736 + }, + { + "epoch": 0.37, + "learning_rate": 7.296376347412053e-06, + "loss": 0.508, + "step": 2737 + }, + { + "epoch": 0.37, + "learning_rate": 7.294443273742569e-06, + "loss": 0.4861, + "step": 2738 + }, + { + "epoch": 0.37, + "learning_rate": 7.292509765539869e-06, + "loss": 0.488, + "step": 2739 + }, + { + "epoch": 0.37, + "learning_rate": 7.290575823170132e-06, + "loss": 0.4951, + "step": 2740 + }, + { + "epoch": 0.37, + "learning_rate": 7.288641446999614e-06, + "loss": 0.5212, + "step": 2741 + }, + { + "epoch": 0.37, + "learning_rate": 7.28670663739466e-06, + "loss": 0.4838, + "step": 2742 + }, + { + "epoch": 0.37, + "learning_rate": 7.284771394721694e-06, + "loss": 0.5004, + "step": 2743 + }, + { + "epoch": 0.37, + "learning_rate": 7.282835719347219e-06, + "loss": 0.5182, + "step": 2744 + }, + { + "epoch": 0.37, + "learning_rate": 7.280899611637827e-06, + "loss": 0.4897, + "step": 2745 + }, + { + "epoch": 0.37, + "learning_rate": 7.278963071960185e-06, + "loss": 0.4649, + "step": 2746 + }, + { + "epoch": 0.37, + "learning_rate": 7.277026100681046e-06, + "loss": 0.4961, + "step": 2747 + }, + { + "epoch": 0.37, + "learning_rate": 7.275088698167242e-06, + "loss": 0.483, + "step": 2748 + }, + { + "epoch": 0.37, + "learning_rate": 7.27315086478569e-06, + "loss": 0.4962, + "step": 2749 + }, + { + "epoch": 0.37, + "learning_rate": 7.271212600903384e-06, + "loss": 0.4999, + "step": 2750 + }, + { + "epoch": 0.37, + "learning_rate": 7.269273906887405e-06, + "loss": 0.5188, + "step": 2751 + }, + { + "epoch": 0.37, + "learning_rate": 7.267334783104911e-06, + "loss": 0.4852, + "step": 2752 + }, + { + "epoch": 0.37, + "learning_rate": 7.265395229923143e-06, + "loss": 0.5111, + "step": 2753 + }, + { + "epoch": 0.37, + "learning_rate": 7.263455247709423e-06, + "loss": 0.4536, + "step": 2754 + }, + { + "epoch": 0.37, + "learning_rate": 7.261514836831157e-06, + "loss": 0.5172, + "step": 2755 + }, + { + "epoch": 0.37, + "learning_rate": 7.2595739976558275e-06, + "loss": 0.5147, + "step": 2756 + }, + { + "epoch": 0.37, + "learning_rate": 7.2576327305510006e-06, + "loss": 0.4717, + "step": 2757 + }, + { + "epoch": 0.37, + "learning_rate": 7.255691035884323e-06, + "loss": 0.4817, + "step": 2758 + }, + { + "epoch": 0.37, + "learning_rate": 7.253748914023524e-06, + "loss": 0.4837, + "step": 2759 + }, + { + "epoch": 0.37, + "learning_rate": 7.251806365336411e-06, + "loss": 0.4876, + "step": 2760 + }, + { + "epoch": 0.37, + "learning_rate": 7.249863390190876e-06, + "loss": 0.4903, + "step": 2761 + }, + { + "epoch": 0.37, + "learning_rate": 7.247919988954885e-06, + "loss": 0.4803, + "step": 2762 + }, + { + "epoch": 0.37, + "learning_rate": 7.245976161996495e-06, + "loss": 0.5131, + "step": 2763 + }, + { + "epoch": 0.37, + "learning_rate": 7.244031909683832e-06, + "loss": 0.4805, + "step": 2764 + }, + { + "epoch": 0.37, + "learning_rate": 7.242087232385111e-06, + "loss": 0.4782, + "step": 2765 + }, + { + "epoch": 0.37, + "learning_rate": 7.240142130468626e-06, + "loss": 0.472, + "step": 2766 + }, + { + "epoch": 0.37, + "learning_rate": 7.238196604302748e-06, + "loss": 0.4651, + "step": 2767 + }, + { + "epoch": 0.37, + "learning_rate": 7.23625065425593e-06, + "loss": 0.4973, + "step": 2768 + }, + { + "epoch": 0.37, + "learning_rate": 7.234304280696709e-06, + "loss": 0.4852, + "step": 2769 + }, + { + "epoch": 0.37, + "learning_rate": 7.232357483993696e-06, + "loss": 0.503, + "step": 2770 + }, + { + "epoch": 0.37, + "learning_rate": 7.230410264515586e-06, + "loss": 0.5052, + "step": 2771 + }, + { + "epoch": 0.37, + "learning_rate": 7.228462622631155e-06, + "loss": 0.4858, + "step": 2772 + }, + { + "epoch": 0.37, + "learning_rate": 7.226514558709254e-06, + "loss": 0.4677, + "step": 2773 + }, + { + "epoch": 0.37, + "learning_rate": 7.224566073118821e-06, + "loss": 0.5251, + "step": 2774 + }, + { + "epoch": 0.37, + "learning_rate": 7.2226171662288665e-06, + "loss": 0.5114, + "step": 2775 + }, + { + "epoch": 0.37, + "learning_rate": 7.220667838408487e-06, + "loss": 0.4883, + "step": 2776 + }, + { + "epoch": 0.37, + "learning_rate": 7.218718090026853e-06, + "loss": 0.4812, + "step": 2777 + }, + { + "epoch": 0.37, + "learning_rate": 7.21676792145322e-06, + "loss": 0.4832, + "step": 2778 + }, + { + "epoch": 0.37, + "learning_rate": 7.214817333056921e-06, + "loss": 0.4959, + "step": 2779 + }, + { + "epoch": 0.37, + "learning_rate": 7.212866325207366e-06, + "loss": 0.5027, + "step": 2780 + }, + { + "epoch": 0.37, + "learning_rate": 7.2109148982740485e-06, + "loss": 0.4999, + "step": 2781 + }, + { + "epoch": 0.37, + "learning_rate": 7.208963052626539e-06, + "loss": 0.4756, + "step": 2782 + }, + { + "epoch": 0.37, + "learning_rate": 7.207010788634489e-06, + "loss": 0.5106, + "step": 2783 + }, + { + "epoch": 0.37, + "learning_rate": 7.205058106667626e-06, + "loss": 0.4892, + "step": 2784 + }, + { + "epoch": 0.37, + "learning_rate": 7.203105007095761e-06, + "loss": 0.4813, + "step": 2785 + }, + { + "epoch": 0.37, + "learning_rate": 7.2011514902887796e-06, + "loss": 0.4796, + "step": 2786 + }, + { + "epoch": 0.37, + "learning_rate": 7.199197556616648e-06, + "loss": 0.5329, + "step": 2787 + }, + { + "epoch": 0.37, + "learning_rate": 7.197243206449417e-06, + "loss": 0.511, + "step": 2788 + }, + { + "epoch": 0.37, + "learning_rate": 7.195288440157207e-06, + "loss": 0.5312, + "step": 2789 + }, + { + "epoch": 0.37, + "learning_rate": 7.19333325811022e-06, + "loss": 0.4874, + "step": 2790 + }, + { + "epoch": 0.37, + "learning_rate": 7.191377660678743e-06, + "loss": 0.4701, + "step": 2791 + }, + { + "epoch": 0.38, + "learning_rate": 7.189421648233134e-06, + "loss": 0.4751, + "step": 2792 + }, + { + "epoch": 0.38, + "learning_rate": 7.187465221143832e-06, + "loss": 0.4991, + "step": 2793 + }, + { + "epoch": 0.38, + "learning_rate": 7.185508379781358e-06, + "loss": 0.5108, + "step": 2794 + }, + { + "epoch": 0.38, + "learning_rate": 7.183551124516305e-06, + "loss": 0.4957, + "step": 2795 + }, + { + "epoch": 0.38, + "learning_rate": 7.181593455719349e-06, + "loss": 0.476, + "step": 2796 + }, + { + "epoch": 0.38, + "learning_rate": 7.179635373761245e-06, + "loss": 0.4974, + "step": 2797 + }, + { + "epoch": 0.38, + "learning_rate": 7.177676879012821e-06, + "loss": 0.4891, + "step": 2798 + }, + { + "epoch": 0.38, + "learning_rate": 7.17571797184499e-06, + "loss": 0.4915, + "step": 2799 + }, + { + "epoch": 0.38, + "learning_rate": 7.173758652628738e-06, + "loss": 0.4636, + "step": 2800 + }, + { + "epoch": 0.38, + "learning_rate": 7.171798921735132e-06, + "loss": 0.4843, + "step": 2801 + }, + { + "epoch": 0.38, + "learning_rate": 7.169838779535313e-06, + "loss": 0.4407, + "step": 2802 + }, + { + "epoch": 0.38, + "learning_rate": 7.167878226400504e-06, + "loss": 0.499, + "step": 2803 + }, + { + "epoch": 0.38, + "learning_rate": 7.165917262702006e-06, + "loss": 0.4867, + "step": 2804 + }, + { + "epoch": 0.38, + "learning_rate": 7.163955888811194e-06, + "loss": 0.4976, + "step": 2805 + }, + { + "epoch": 0.38, + "learning_rate": 7.161994105099523e-06, + "loss": 0.5079, + "step": 2806 + }, + { + "epoch": 0.38, + "learning_rate": 7.160031911938527e-06, + "loss": 0.4808, + "step": 2807 + }, + { + "epoch": 0.38, + "learning_rate": 7.158069309699816e-06, + "loss": 0.504, + "step": 2808 + }, + { + "epoch": 0.38, + "learning_rate": 7.1561062987550746e-06, + "loss": 0.5192, + "step": 2809 + }, + { + "epoch": 0.38, + "learning_rate": 7.1541428794760715e-06, + "loss": 0.5025, + "step": 2810 + }, + { + "epoch": 0.38, + "learning_rate": 7.1521790522346465e-06, + "loss": 0.4826, + "step": 2811 + }, + { + "epoch": 0.38, + "learning_rate": 7.15021481740272e-06, + "loss": 0.529, + "step": 2812 + }, + { + "epoch": 0.38, + "learning_rate": 7.1482501753522895e-06, + "loss": 0.5351, + "step": 2813 + }, + { + "epoch": 0.38, + "learning_rate": 7.146285126455425e-06, + "loss": 0.4597, + "step": 2814 + }, + { + "epoch": 0.38, + "learning_rate": 7.144319671084283e-06, + "loss": 0.4901, + "step": 2815 + }, + { + "epoch": 0.38, + "learning_rate": 7.142353809611087e-06, + "loss": 0.4917, + "step": 2816 + }, + { + "epoch": 0.38, + "learning_rate": 7.140387542408142e-06, + "loss": 0.4978, + "step": 2817 + }, + { + "epoch": 0.38, + "learning_rate": 7.138420869847833e-06, + "loss": 0.5073, + "step": 2818 + }, + { + "epoch": 0.38, + "learning_rate": 7.1364537923026155e-06, + "loss": 0.4724, + "step": 2819 + }, + { + "epoch": 0.38, + "learning_rate": 7.1344863101450245e-06, + "loss": 0.4824, + "step": 2820 + }, + { + "epoch": 0.38, + "learning_rate": 7.132518423747673e-06, + "loss": 0.472, + "step": 2821 + }, + { + "epoch": 0.38, + "learning_rate": 7.130550133483249e-06, + "loss": 0.4876, + "step": 2822 + }, + { + "epoch": 0.38, + "learning_rate": 7.1285814397245155e-06, + "loss": 0.4933, + "step": 2823 + }, + { + "epoch": 0.38, + "learning_rate": 7.126612342844315e-06, + "loss": 0.4896, + "step": 2824 + }, + { + "epoch": 0.38, + "learning_rate": 7.124642843215566e-06, + "loss": 0.4918, + "step": 2825 + }, + { + "epoch": 0.38, + "learning_rate": 7.12267294121126e-06, + "loss": 0.4902, + "step": 2826 + }, + { + "epoch": 0.38, + "learning_rate": 7.120702637204468e-06, + "loss": 0.4578, + "step": 2827 + }, + { + "epoch": 0.38, + "learning_rate": 7.118731931568339e-06, + "loss": 0.4919, + "step": 2828 + }, + { + "epoch": 0.38, + "learning_rate": 7.116760824676088e-06, + "loss": 0.4843, + "step": 2829 + }, + { + "epoch": 0.38, + "learning_rate": 7.114789316901021e-06, + "loss": 0.4839, + "step": 2830 + }, + { + "epoch": 0.38, + "learning_rate": 7.112817408616508e-06, + "loss": 0.4739, + "step": 2831 + }, + { + "epoch": 0.38, + "learning_rate": 7.110845100195997e-06, + "loss": 0.5041, + "step": 2832 + }, + { + "epoch": 0.38, + "learning_rate": 7.1088723920130185e-06, + "loss": 0.4812, + "step": 2833 + }, + { + "epoch": 0.38, + "learning_rate": 7.106899284441171e-06, + "loss": 0.4825, + "step": 2834 + }, + { + "epoch": 0.38, + "learning_rate": 7.104925777854131e-06, + "loss": 0.5132, + "step": 2835 + }, + { + "epoch": 0.38, + "learning_rate": 7.1029518726256544e-06, + "loss": 0.4836, + "step": 2836 + }, + { + "epoch": 0.38, + "learning_rate": 7.100977569129566e-06, + "loss": 0.4917, + "step": 2837 + }, + { + "epoch": 0.38, + "learning_rate": 7.09900286773977e-06, + "loss": 0.5015, + "step": 2838 + }, + { + "epoch": 0.38, + "learning_rate": 7.097027768830247e-06, + "loss": 0.4835, + "step": 2839 + }, + { + "epoch": 0.38, + "learning_rate": 7.095052272775049e-06, + "loss": 0.4792, + "step": 2840 + }, + { + "epoch": 0.38, + "learning_rate": 7.093076379948306e-06, + "loss": 0.4865, + "step": 2841 + }, + { + "epoch": 0.38, + "learning_rate": 7.091100090724223e-06, + "loss": 0.5083, + "step": 2842 + }, + { + "epoch": 0.38, + "learning_rate": 7.089123405477081e-06, + "loss": 0.497, + "step": 2843 + }, + { + "epoch": 0.38, + "learning_rate": 7.087146324581231e-06, + "loss": 0.4931, + "step": 2844 + }, + { + "epoch": 0.38, + "learning_rate": 7.085168848411105e-06, + "loss": 0.5127, + "step": 2845 + }, + { + "epoch": 0.38, + "learning_rate": 7.083190977341208e-06, + "loss": 0.4947, + "step": 2846 + }, + { + "epoch": 0.38, + "learning_rate": 7.081212711746117e-06, + "loss": 0.4922, + "step": 2847 + }, + { + "epoch": 0.38, + "learning_rate": 7.079234052000487e-06, + "loss": 0.5046, + "step": 2848 + }, + { + "epoch": 0.38, + "learning_rate": 7.077254998479048e-06, + "loss": 0.467, + "step": 2849 + }, + { + "epoch": 0.38, + "learning_rate": 7.0752755515566e-06, + "loss": 0.5009, + "step": 2850 + }, + { + "epoch": 0.38, + "learning_rate": 7.073295711608025e-06, + "loss": 0.5038, + "step": 2851 + }, + { + "epoch": 0.38, + "learning_rate": 7.071315479008269e-06, + "loss": 0.5108, + "step": 2852 + }, + { + "epoch": 0.38, + "learning_rate": 7.069334854132364e-06, + "loss": 0.4807, + "step": 2853 + }, + { + "epoch": 0.38, + "learning_rate": 7.067353837355409e-06, + "loss": 0.4822, + "step": 2854 + }, + { + "epoch": 0.38, + "learning_rate": 7.065372429052576e-06, + "loss": 0.4915, + "step": 2855 + }, + { + "epoch": 0.38, + "learning_rate": 7.063390629599117e-06, + "loss": 0.5117, + "step": 2856 + }, + { + "epoch": 0.38, + "learning_rate": 7.061408439370356e-06, + "loss": 0.4985, + "step": 2857 + }, + { + "epoch": 0.38, + "learning_rate": 7.059425858741688e-06, + "loss": 0.4951, + "step": 2858 + }, + { + "epoch": 0.38, + "learning_rate": 7.057442888088586e-06, + "loss": 0.4861, + "step": 2859 + }, + { + "epoch": 0.38, + "learning_rate": 7.055459527786594e-06, + "loss": 0.4969, + "step": 2860 + }, + { + "epoch": 0.38, + "learning_rate": 7.053475778211328e-06, + "loss": 0.4873, + "step": 2861 + }, + { + "epoch": 0.38, + "learning_rate": 7.051491639738485e-06, + "loss": 0.4831, + "step": 2862 + }, + { + "epoch": 0.38, + "learning_rate": 7.04950711274383e-06, + "loss": 0.4568, + "step": 2863 + }, + { + "epoch": 0.38, + "learning_rate": 7.047522197603202e-06, + "loss": 0.5056, + "step": 2864 + }, + { + "epoch": 0.38, + "learning_rate": 7.045536894692512e-06, + "loss": 0.5284, + "step": 2865 + }, + { + "epoch": 0.39, + "learning_rate": 7.043551204387751e-06, + "loss": 0.4928, + "step": 2866 + }, + { + "epoch": 0.39, + "learning_rate": 7.041565127064976e-06, + "loss": 0.4967, + "step": 2867 + }, + { + "epoch": 0.39, + "learning_rate": 7.03957866310032e-06, + "loss": 0.489, + "step": 2868 + }, + { + "epoch": 0.39, + "learning_rate": 7.037591812869992e-06, + "loss": 0.5158, + "step": 2869 + }, + { + "epoch": 0.39, + "learning_rate": 7.035604576750271e-06, + "loss": 0.493, + "step": 2870 + }, + { + "epoch": 0.39, + "learning_rate": 7.0336169551175085e-06, + "loss": 0.5008, + "step": 2871 + }, + { + "epoch": 0.39, + "learning_rate": 7.031628948348131e-06, + "loss": 0.5144, + "step": 2872 + }, + { + "epoch": 0.39, + "learning_rate": 7.029640556818638e-06, + "loss": 0.4986, + "step": 2873 + }, + { + "epoch": 0.39, + "learning_rate": 7.027651780905598e-06, + "loss": 0.4659, + "step": 2874 + }, + { + "epoch": 0.39, + "learning_rate": 7.025662620985661e-06, + "loss": 0.4897, + "step": 2875 + }, + { + "epoch": 0.39, + "learning_rate": 7.023673077435539e-06, + "loss": 0.4995, + "step": 2876 + }, + { + "epoch": 0.39, + "learning_rate": 7.021683150632024e-06, + "loss": 0.52, + "step": 2877 + }, + { + "epoch": 0.39, + "learning_rate": 7.019692840951977e-06, + "loss": 0.4792, + "step": 2878 + }, + { + "epoch": 0.39, + "learning_rate": 7.017702148772335e-06, + "loss": 0.4884, + "step": 2879 + }, + { + "epoch": 0.39, + "learning_rate": 7.015711074470104e-06, + "loss": 0.5156, + "step": 2880 + }, + { + "epoch": 0.39, + "learning_rate": 7.013719618422363e-06, + "loss": 0.4977, + "step": 2881 + }, + { + "epoch": 0.39, + "learning_rate": 7.0117277810062655e-06, + "loss": 0.4602, + "step": 2882 + }, + { + "epoch": 0.39, + "learning_rate": 7.009735562599035e-06, + "loss": 0.4689, + "step": 2883 + }, + { + "epoch": 0.39, + "learning_rate": 7.007742963577967e-06, + "loss": 0.4908, + "step": 2884 + }, + { + "epoch": 0.39, + "learning_rate": 7.005749984320432e-06, + "loss": 0.461, + "step": 2885 + }, + { + "epoch": 0.39, + "learning_rate": 7.003756625203868e-06, + "loss": 0.4829, + "step": 2886 + }, + { + "epoch": 0.39, + "learning_rate": 7.001762886605789e-06, + "loss": 0.5019, + "step": 2887 + }, + { + "epoch": 0.39, + "learning_rate": 6.9997687689037804e-06, + "loss": 0.5075, + "step": 2888 + }, + { + "epoch": 0.39, + "learning_rate": 6.997774272475495e-06, + "loss": 0.4887, + "step": 2889 + }, + { + "epoch": 0.39, + "learning_rate": 6.995779397698663e-06, + "loss": 0.4838, + "step": 2890 + }, + { + "epoch": 0.39, + "learning_rate": 6.993784144951082e-06, + "loss": 0.4623, + "step": 2891 + }, + { + "epoch": 0.39, + "learning_rate": 6.9917885146106245e-06, + "loss": 0.502, + "step": 2892 + }, + { + "epoch": 0.39, + "learning_rate": 6.989792507055233e-06, + "loss": 0.471, + "step": 2893 + }, + { + "epoch": 0.39, + "learning_rate": 6.9877961226629205e-06, + "loss": 0.4544, + "step": 2894 + }, + { + "epoch": 0.39, + "learning_rate": 6.985799361811773e-06, + "loss": 0.4584, + "step": 2895 + }, + { + "epoch": 0.39, + "learning_rate": 6.983802224879949e-06, + "loss": 0.4942, + "step": 2896 + }, + { + "epoch": 0.39, + "learning_rate": 6.9818047122456725e-06, + "loss": 0.5004, + "step": 2897 + }, + { + "epoch": 0.39, + "learning_rate": 6.979806824287243e-06, + "loss": 0.4984, + "step": 2898 + }, + { + "epoch": 0.39, + "learning_rate": 6.977808561383035e-06, + "loss": 0.4789, + "step": 2899 + }, + { + "epoch": 0.39, + "learning_rate": 6.975809923911484e-06, + "loss": 0.5126, + "step": 2900 + }, + { + "epoch": 0.39, + "learning_rate": 6.973810912251105e-06, + "loss": 0.4683, + "step": 2901 + }, + { + "epoch": 0.39, + "learning_rate": 6.971811526780482e-06, + "loss": 0.4821, + "step": 2902 + }, + { + "epoch": 0.39, + "learning_rate": 6.969811767878266e-06, + "loss": 0.5013, + "step": 2903 + }, + { + "epoch": 0.39, + "learning_rate": 6.967811635923183e-06, + "loss": 0.4783, + "step": 2904 + }, + { + "epoch": 0.39, + "learning_rate": 6.965811131294027e-06, + "loss": 0.4885, + "step": 2905 + }, + { + "epoch": 0.39, + "learning_rate": 6.963810254369665e-06, + "loss": 0.4922, + "step": 2906 + }, + { + "epoch": 0.39, + "learning_rate": 6.961809005529031e-06, + "loss": 0.4876, + "step": 2907 + }, + { + "epoch": 0.39, + "learning_rate": 6.9598073851511325e-06, + "loss": 0.4928, + "step": 2908 + }, + { + "epoch": 0.39, + "learning_rate": 6.957805393615049e-06, + "loss": 0.4932, + "step": 2909 + }, + { + "epoch": 0.39, + "learning_rate": 6.955803031299925e-06, + "loss": 0.4792, + "step": 2910 + }, + { + "epoch": 0.39, + "learning_rate": 6.953800298584977e-06, + "loss": 0.4782, + "step": 2911 + }, + { + "epoch": 0.39, + "learning_rate": 6.951797195849497e-06, + "loss": 0.4389, + "step": 2912 + }, + { + "epoch": 0.39, + "learning_rate": 6.949793723472838e-06, + "loss": 0.4621, + "step": 2913 + }, + { + "epoch": 0.39, + "learning_rate": 6.947789881834428e-06, + "loss": 0.4898, + "step": 2914 + }, + { + "epoch": 0.39, + "learning_rate": 6.94578567131377e-06, + "loss": 0.4842, + "step": 2915 + }, + { + "epoch": 0.39, + "learning_rate": 6.943781092290425e-06, + "loss": 0.4762, + "step": 2916 + }, + { + "epoch": 0.39, + "learning_rate": 6.941776145144032e-06, + "loss": 0.5151, + "step": 2917 + }, + { + "epoch": 0.39, + "learning_rate": 6.939770830254301e-06, + "loss": 0.478, + "step": 2918 + }, + { + "epoch": 0.39, + "learning_rate": 6.9377651480010055e-06, + "loss": 0.4937, + "step": 2919 + }, + { + "epoch": 0.39, + "learning_rate": 6.935759098763993e-06, + "loss": 0.476, + "step": 2920 + }, + { + "epoch": 0.39, + "learning_rate": 6.933752682923179e-06, + "loss": 0.497, + "step": 2921 + }, + { + "epoch": 0.39, + "learning_rate": 6.9317459008585485e-06, + "loss": 0.4926, + "step": 2922 + }, + { + "epoch": 0.39, + "learning_rate": 6.929738752950155e-06, + "loss": 0.4793, + "step": 2923 + }, + { + "epoch": 0.39, + "learning_rate": 6.927731239578125e-06, + "loss": 0.5098, + "step": 2924 + }, + { + "epoch": 0.39, + "learning_rate": 6.9257233611226495e-06, + "loss": 0.4777, + "step": 2925 + }, + { + "epoch": 0.39, + "learning_rate": 6.9237151179639895e-06, + "loss": 0.4729, + "step": 2926 + }, + { + "epoch": 0.39, + "learning_rate": 6.921706510482479e-06, + "loss": 0.4882, + "step": 2927 + }, + { + "epoch": 0.39, + "learning_rate": 6.919697539058516e-06, + "loss": 0.4744, + "step": 2928 + }, + { + "epoch": 0.39, + "learning_rate": 6.917688204072571e-06, + "loss": 0.4767, + "step": 2929 + }, + { + "epoch": 0.39, + "learning_rate": 6.915678505905181e-06, + "loss": 0.4373, + "step": 2930 + }, + { + "epoch": 0.39, + "learning_rate": 6.913668444936954e-06, + "loss": 0.4779, + "step": 2931 + }, + { + "epoch": 0.39, + "learning_rate": 6.911658021548564e-06, + "loss": 0.4602, + "step": 2932 + }, + { + "epoch": 0.39, + "learning_rate": 6.909647236120754e-06, + "loss": 0.4776, + "step": 2933 + }, + { + "epoch": 0.39, + "learning_rate": 6.907636089034342e-06, + "loss": 0.4958, + "step": 2934 + }, + { + "epoch": 0.39, + "learning_rate": 6.905624580670202e-06, + "loss": 0.5092, + "step": 2935 + }, + { + "epoch": 0.39, + "learning_rate": 6.903612711409289e-06, + "loss": 0.5016, + "step": 2936 + }, + { + "epoch": 0.39, + "learning_rate": 6.901600481632619e-06, + "loss": 0.4854, + "step": 2937 + }, + { + "epoch": 0.39, + "learning_rate": 6.8995878917212776e-06, + "loss": 0.4512, + "step": 2938 + }, + { + "epoch": 0.39, + "learning_rate": 6.89757494205642e-06, + "loss": 0.4819, + "step": 2939 + }, + { + "epoch": 0.4, + "learning_rate": 6.895561633019269e-06, + "loss": 0.494, + "step": 2940 + }, + { + "epoch": 0.4, + "learning_rate": 6.893547964991114e-06, + "loss": 0.4554, + "step": 2941 + }, + { + "epoch": 0.4, + "learning_rate": 6.891533938353316e-06, + "loss": 0.5121, + "step": 2942 + }, + { + "epoch": 0.4, + "learning_rate": 6.889519553487298e-06, + "loss": 0.5154, + "step": 2943 + }, + { + "epoch": 0.4, + "learning_rate": 6.8875048107745566e-06, + "loss": 0.4896, + "step": 2944 + }, + { + "epoch": 0.4, + "learning_rate": 6.885489710596655e-06, + "loss": 0.4961, + "step": 2945 + }, + { + "epoch": 0.4, + "learning_rate": 6.883474253335221e-06, + "loss": 0.4905, + "step": 2946 + }, + { + "epoch": 0.4, + "learning_rate": 6.881458439371951e-06, + "loss": 0.4692, + "step": 2947 + }, + { + "epoch": 0.4, + "learning_rate": 6.879442269088613e-06, + "loss": 0.4837, + "step": 2948 + }, + { + "epoch": 0.4, + "learning_rate": 6.877425742867037e-06, + "loss": 0.4637, + "step": 2949 + }, + { + "epoch": 0.4, + "learning_rate": 6.875408861089125e-06, + "loss": 0.4838, + "step": 2950 + }, + { + "epoch": 0.4, + "learning_rate": 6.8733916241368435e-06, + "loss": 0.5119, + "step": 2951 + }, + { + "epoch": 0.4, + "learning_rate": 6.871374032392226e-06, + "loss": 0.4566, + "step": 2952 + }, + { + "epoch": 0.4, + "learning_rate": 6.869356086237374e-06, + "loss": 0.5044, + "step": 2953 + }, + { + "epoch": 0.4, + "learning_rate": 6.867337786054459e-06, + "loss": 0.5089, + "step": 2954 + }, + { + "epoch": 0.4, + "learning_rate": 6.865319132225714e-06, + "loss": 0.4864, + "step": 2955 + }, + { + "epoch": 0.4, + "learning_rate": 6.863300125133442e-06, + "loss": 0.5041, + "step": 2956 + }, + { + "epoch": 0.4, + "learning_rate": 6.861280765160016e-06, + "loss": 0.5185, + "step": 2957 + }, + { + "epoch": 0.4, + "learning_rate": 6.859261052687869e-06, + "loss": 0.4628, + "step": 2958 + }, + { + "epoch": 0.4, + "learning_rate": 6.857240988099503e-06, + "loss": 0.4816, + "step": 2959 + }, + { + "epoch": 0.4, + "learning_rate": 6.855220571777493e-06, + "loss": 0.4939, + "step": 2960 + }, + { + "epoch": 0.4, + "learning_rate": 6.8531998041044735e-06, + "loss": 0.4713, + "step": 2961 + }, + { + "epoch": 0.4, + "learning_rate": 6.851178685463144e-06, + "loss": 0.4896, + "step": 2962 + }, + { + "epoch": 0.4, + "learning_rate": 6.849157216236279e-06, + "loss": 0.4922, + "step": 2963 + }, + { + "epoch": 0.4, + "learning_rate": 6.847135396806714e-06, + "loss": 0.4665, + "step": 2964 + }, + { + "epoch": 0.4, + "learning_rate": 6.845113227557348e-06, + "loss": 0.501, + "step": 2965 + }, + { + "epoch": 0.4, + "learning_rate": 6.843090708871154e-06, + "loss": 0.5065, + "step": 2966 + }, + { + "epoch": 0.4, + "learning_rate": 6.841067841131165e-06, + "loss": 0.4598, + "step": 2967 + }, + { + "epoch": 0.4, + "learning_rate": 6.839044624720479e-06, + "loss": 0.516, + "step": 2968 + }, + { + "epoch": 0.4, + "learning_rate": 6.8370210600222665e-06, + "loss": 0.5007, + "step": 2969 + }, + { + "epoch": 0.4, + "learning_rate": 6.83499714741976e-06, + "loss": 0.479, + "step": 2970 + }, + { + "epoch": 0.4, + "learning_rate": 6.832972887296255e-06, + "loss": 0.4969, + "step": 2971 + }, + { + "epoch": 0.4, + "learning_rate": 6.830948280035119e-06, + "loss": 0.4771, + "step": 2972 + }, + { + "epoch": 0.4, + "learning_rate": 6.828923326019784e-06, + "loss": 0.468, + "step": 2973 + }, + { + "epoch": 0.4, + "learning_rate": 6.826898025633741e-06, + "loss": 0.4729, + "step": 2974 + }, + { + "epoch": 0.4, + "learning_rate": 6.824872379260556e-06, + "loss": 0.4666, + "step": 2975 + }, + { + "epoch": 0.4, + "learning_rate": 6.822846387283856e-06, + "loss": 0.5228, + "step": 2976 + }, + { + "epoch": 0.4, + "learning_rate": 6.820820050087329e-06, + "loss": 0.4788, + "step": 2977 + }, + { + "epoch": 0.4, + "learning_rate": 6.818793368054737e-06, + "loss": 0.446, + "step": 2978 + }, + { + "epoch": 0.4, + "learning_rate": 6.8167663415699035e-06, + "loss": 0.502, + "step": 2979 + }, + { + "epoch": 0.4, + "learning_rate": 6.814738971016715e-06, + "loss": 0.496, + "step": 2980 + }, + { + "epoch": 0.4, + "learning_rate": 6.812711256779126e-06, + "loss": 0.4958, + "step": 2981 + }, + { + "epoch": 0.4, + "learning_rate": 6.810683199241154e-06, + "loss": 0.5046, + "step": 2982 + }, + { + "epoch": 0.4, + "learning_rate": 6.808654798786884e-06, + "loss": 0.4862, + "step": 2983 + }, + { + "epoch": 0.4, + "learning_rate": 6.806626055800465e-06, + "loss": 0.4758, + "step": 2984 + }, + { + "epoch": 0.4, + "learning_rate": 6.80459697066611e-06, + "loss": 0.4739, + "step": 2985 + }, + { + "epoch": 0.4, + "learning_rate": 6.8025675437680975e-06, + "loss": 0.5164, + "step": 2986 + }, + { + "epoch": 0.4, + "learning_rate": 6.80053777549077e-06, + "loss": 0.498, + "step": 2987 + }, + { + "epoch": 0.4, + "learning_rate": 6.798507666218536e-06, + "loss": 0.5124, + "step": 2988 + }, + { + "epoch": 0.4, + "learning_rate": 6.796477216335868e-06, + "loss": 0.4874, + "step": 2989 + }, + { + "epoch": 0.4, + "learning_rate": 6.7944464262273015e-06, + "loss": 0.5182, + "step": 2990 + }, + { + "epoch": 0.4, + "learning_rate": 6.792415296277439e-06, + "loss": 0.452, + "step": 2991 + }, + { + "epoch": 0.4, + "learning_rate": 6.790383826870945e-06, + "loss": 0.499, + "step": 2992 + }, + { + "epoch": 0.4, + "learning_rate": 6.788352018392552e-06, + "loss": 0.4905, + "step": 2993 + }, + { + "epoch": 0.4, + "learning_rate": 6.786319871227052e-06, + "loss": 0.4916, + "step": 2994 + }, + { + "epoch": 0.4, + "learning_rate": 6.784287385759301e-06, + "loss": 0.4872, + "step": 2995 + }, + { + "epoch": 0.4, + "learning_rate": 6.782254562374226e-06, + "loss": 0.474, + "step": 2996 + }, + { + "epoch": 0.4, + "learning_rate": 6.780221401456812e-06, + "loss": 0.5107, + "step": 2997 + }, + { + "epoch": 0.4, + "learning_rate": 6.778187903392106e-06, + "loss": 0.507, + "step": 2998 + }, + { + "epoch": 0.4, + "learning_rate": 6.776154068565226e-06, + "loss": 0.4846, + "step": 2999 + }, + { + "epoch": 0.4, + "learning_rate": 6.774119897361349e-06, + "loss": 0.466, + "step": 3000 + }, + { + "epoch": 0.4, + "learning_rate": 6.772085390165712e-06, + "loss": 0.5184, + "step": 3001 + }, + { + "epoch": 0.4, + "learning_rate": 6.770050547363629e-06, + "loss": 0.4716, + "step": 3002 + }, + { + "epoch": 0.4, + "learning_rate": 6.768015369340462e-06, + "loss": 0.4943, + "step": 3003 + }, + { + "epoch": 0.4, + "learning_rate": 6.765979856481644e-06, + "loss": 0.4772, + "step": 3004 + }, + { + "epoch": 0.4, + "learning_rate": 6.763944009172674e-06, + "loss": 0.4942, + "step": 3005 + }, + { + "epoch": 0.4, + "learning_rate": 6.761907827799108e-06, + "loss": 0.4667, + "step": 3006 + }, + { + "epoch": 0.4, + "learning_rate": 6.7598713127465685e-06, + "loss": 0.5037, + "step": 3007 + }, + { + "epoch": 0.4, + "learning_rate": 6.757834464400742e-06, + "loss": 0.4964, + "step": 3008 + }, + { + "epoch": 0.4, + "learning_rate": 6.755797283147378e-06, + "loss": 0.512, + "step": 3009 + }, + { + "epoch": 0.4, + "learning_rate": 6.753759769372286e-06, + "loss": 0.486, + "step": 3010 + }, + { + "epoch": 0.4, + "learning_rate": 6.751721923461341e-06, + "loss": 0.4623, + "step": 3011 + }, + { + "epoch": 0.4, + "learning_rate": 6.7496837458004814e-06, + "loss": 0.5156, + "step": 3012 + }, + { + "epoch": 0.4, + "learning_rate": 6.747645236775706e-06, + "loss": 0.4835, + "step": 3013 + }, + { + "epoch": 0.4, + "learning_rate": 6.74560639677308e-06, + "loss": 0.4897, + "step": 3014 + }, + { + "epoch": 0.41, + "learning_rate": 6.743567226178729e-06, + "loss": 0.4679, + "step": 3015 + }, + { + "epoch": 0.41, + "learning_rate": 6.74152772537884e-06, + "loss": 0.5021, + "step": 3016 + }, + { + "epoch": 0.41, + "learning_rate": 6.739487894759664e-06, + "loss": 0.4151, + "step": 3017 + }, + { + "epoch": 0.41, + "learning_rate": 6.737447734707516e-06, + "loss": 0.5246, + "step": 3018 + }, + { + "epoch": 0.41, + "learning_rate": 6.735407245608769e-06, + "loss": 0.4773, + "step": 3019 + }, + { + "epoch": 0.41, + "learning_rate": 6.7333664278498655e-06, + "loss": 0.4835, + "step": 3020 + }, + { + "epoch": 0.41, + "learning_rate": 6.7313252818173e-06, + "loss": 0.5012, + "step": 3021 + }, + { + "epoch": 0.41, + "learning_rate": 6.729283807897639e-06, + "loss": 0.4597, + "step": 3022 + }, + { + "epoch": 0.41, + "learning_rate": 6.727242006477509e-06, + "loss": 0.4707, + "step": 3023 + }, + { + "epoch": 0.41, + "learning_rate": 6.725199877943591e-06, + "loss": 0.5002, + "step": 3024 + }, + { + "epoch": 0.41, + "learning_rate": 6.723157422682637e-06, + "loss": 0.4992, + "step": 3025 + }, + { + "epoch": 0.41, + "learning_rate": 6.721114641081459e-06, + "loss": 0.493, + "step": 3026 + }, + { + "epoch": 0.41, + "learning_rate": 6.719071533526924e-06, + "loss": 0.5114, + "step": 3027 + }, + { + "epoch": 0.41, + "learning_rate": 6.71702810040597e-06, + "loss": 0.4794, + "step": 3028 + }, + { + "epoch": 0.41, + "learning_rate": 6.714984342105594e-06, + "loss": 0.4676, + "step": 3029 + }, + { + "epoch": 0.41, + "learning_rate": 6.712940259012849e-06, + "loss": 0.5108, + "step": 3030 + }, + { + "epoch": 0.41, + "learning_rate": 6.710895851514856e-06, + "loss": 0.5052, + "step": 3031 + }, + { + "epoch": 0.41, + "learning_rate": 6.708851119998796e-06, + "loss": 0.5079, + "step": 3032 + }, + { + "epoch": 0.41, + "learning_rate": 6.706806064851909e-06, + "loss": 0.5197, + "step": 3033 + }, + { + "epoch": 0.41, + "learning_rate": 6.704760686461498e-06, + "loss": 0.4881, + "step": 3034 + }, + { + "epoch": 0.41, + "learning_rate": 6.702714985214927e-06, + "loss": 0.4974, + "step": 3035 + }, + { + "epoch": 0.41, + "learning_rate": 6.700668961499624e-06, + "loss": 0.5164, + "step": 3036 + }, + { + "epoch": 0.41, + "learning_rate": 6.69862261570307e-06, + "loss": 0.4573, + "step": 3037 + }, + { + "epoch": 0.41, + "learning_rate": 6.696575948212815e-06, + "loss": 0.511, + "step": 3038 + }, + { + "epoch": 0.41, + "learning_rate": 6.694528959416471e-06, + "loss": 0.4562, + "step": 3039 + }, + { + "epoch": 0.41, + "learning_rate": 6.6924816497016996e-06, + "loss": 0.4578, + "step": 3040 + }, + { + "epoch": 0.41, + "learning_rate": 6.690434019456236e-06, + "loss": 0.5037, + "step": 3041 + }, + { + "epoch": 0.41, + "learning_rate": 6.688386069067869e-06, + "loss": 0.4899, + "step": 3042 + }, + { + "epoch": 0.41, + "learning_rate": 6.686337798924451e-06, + "loss": 0.5142, + "step": 3043 + }, + { + "epoch": 0.41, + "learning_rate": 6.68428920941389e-06, + "loss": 0.4931, + "step": 3044 + }, + { + "epoch": 0.41, + "learning_rate": 6.682240300924163e-06, + "loss": 0.506, + "step": 3045 + }, + { + "epoch": 0.41, + "learning_rate": 6.680191073843299e-06, + "loss": 0.5025, + "step": 3046 + }, + { + "epoch": 0.41, + "learning_rate": 6.678141528559393e-06, + "loss": 0.4859, + "step": 3047 + }, + { + "epoch": 0.41, + "learning_rate": 6.676091665460599e-06, + "loss": 0.4565, + "step": 3048 + }, + { + "epoch": 0.41, + "learning_rate": 6.674041484935128e-06, + "loss": 0.48, + "step": 3049 + }, + { + "epoch": 0.41, + "learning_rate": 6.671990987371253e-06, + "loss": 0.4838, + "step": 3050 + }, + { + "epoch": 0.41, + "learning_rate": 6.6699401731573095e-06, + "loss": 0.4795, + "step": 3051 + }, + { + "epoch": 0.41, + "learning_rate": 6.667889042681691e-06, + "loss": 0.4858, + "step": 3052 + }, + { + "epoch": 0.41, + "learning_rate": 6.66583759633285e-06, + "loss": 0.507, + "step": 3053 + }, + { + "epoch": 0.41, + "learning_rate": 6.663785834499301e-06, + "loss": 0.4822, + "step": 3054 + }, + { + "epoch": 0.41, + "learning_rate": 6.661733757569616e-06, + "loss": 0.4867, + "step": 3055 + }, + { + "epoch": 0.41, + "learning_rate": 6.659681365932427e-06, + "loss": 0.4971, + "step": 3056 + }, + { + "epoch": 0.41, + "learning_rate": 6.6576286599764286e-06, + "loss": 0.4908, + "step": 3057 + }, + { + "epoch": 0.41, + "learning_rate": 6.655575640090371e-06, + "loss": 0.4825, + "step": 3058 + }, + { + "epoch": 0.41, + "learning_rate": 6.6535223066630635e-06, + "loss": 0.5121, + "step": 3059 + }, + { + "epoch": 0.41, + "learning_rate": 6.65146866008338e-06, + "loss": 0.4834, + "step": 3060 + }, + { + "epoch": 0.41, + "learning_rate": 6.649414700740249e-06, + "loss": 0.4612, + "step": 3061 + }, + { + "epoch": 0.41, + "learning_rate": 6.647360429022659e-06, + "loss": 0.506, + "step": 3062 + }, + { + "epoch": 0.41, + "learning_rate": 6.64530584531966e-06, + "loss": 0.5147, + "step": 3063 + }, + { + "epoch": 0.41, + "learning_rate": 6.643250950020358e-06, + "loss": 0.4941, + "step": 3064 + }, + { + "epoch": 0.41, + "learning_rate": 6.64119574351392e-06, + "loss": 0.5053, + "step": 3065 + }, + { + "epoch": 0.41, + "learning_rate": 6.639140226189571e-06, + "loss": 0.5172, + "step": 3066 + }, + { + "epoch": 0.41, + "learning_rate": 6.637084398436597e-06, + "loss": 0.5051, + "step": 3067 + }, + { + "epoch": 0.41, + "learning_rate": 6.635028260644338e-06, + "loss": 0.4999, + "step": 3068 + }, + { + "epoch": 0.41, + "learning_rate": 6.632971813202197e-06, + "loss": 0.4775, + "step": 3069 + }, + { + "epoch": 0.41, + "learning_rate": 6.630915056499636e-06, + "loss": 0.4793, + "step": 3070 + }, + { + "epoch": 0.41, + "learning_rate": 6.628857990926172e-06, + "loss": 0.4878, + "step": 3071 + }, + { + "epoch": 0.41, + "learning_rate": 6.626800616871383e-06, + "loss": 0.4639, + "step": 3072 + }, + { + "epoch": 0.41, + "learning_rate": 6.624742934724904e-06, + "loss": 0.4873, + "step": 3073 + }, + { + "epoch": 0.41, + "learning_rate": 6.62268494487643e-06, + "loss": 0.4469, + "step": 3074 + }, + { + "epoch": 0.41, + "learning_rate": 6.6206266477157144e-06, + "loss": 0.4631, + "step": 3075 + }, + { + "epoch": 0.41, + "learning_rate": 6.6185680436325674e-06, + "loss": 0.4776, + "step": 3076 + }, + { + "epoch": 0.41, + "learning_rate": 6.616509133016855e-06, + "loss": 0.4865, + "step": 3077 + }, + { + "epoch": 0.41, + "learning_rate": 6.614449916258509e-06, + "loss": 0.4769, + "step": 3078 + }, + { + "epoch": 0.41, + "learning_rate": 6.61239039374751e-06, + "loss": 0.4792, + "step": 3079 + }, + { + "epoch": 0.41, + "learning_rate": 6.610330565873903e-06, + "loss": 0.4587, + "step": 3080 + }, + { + "epoch": 0.41, + "learning_rate": 6.608270433027789e-06, + "loss": 0.4723, + "step": 3081 + }, + { + "epoch": 0.41, + "learning_rate": 6.606209995599324e-06, + "loss": 0.5062, + "step": 3082 + }, + { + "epoch": 0.41, + "learning_rate": 6.604149253978724e-06, + "loss": 0.4894, + "step": 3083 + }, + { + "epoch": 0.41, + "learning_rate": 6.602088208556268e-06, + "loss": 0.4844, + "step": 3084 + }, + { + "epoch": 0.41, + "learning_rate": 6.600026859722281e-06, + "loss": 0.4636, + "step": 3085 + }, + { + "epoch": 0.41, + "learning_rate": 6.5979652078671515e-06, + "loss": 0.5245, + "step": 3086 + }, + { + "epoch": 0.41, + "learning_rate": 6.5959032533813305e-06, + "loss": 0.4347, + "step": 3087 + }, + { + "epoch": 0.41, + "learning_rate": 6.593840996655318e-06, + "loss": 0.47, + "step": 3088 + }, + { + "epoch": 0.42, + "learning_rate": 6.591778438079674e-06, + "loss": 0.4829, + "step": 3089 + }, + { + "epoch": 0.42, + "learning_rate": 6.589715578045018e-06, + "loss": 0.4741, + "step": 3090 + }, + { + "epoch": 0.42, + "learning_rate": 6.587652416942025e-06, + "loss": 0.5028, + "step": 3091 + }, + { + "epoch": 0.42, + "learning_rate": 6.585588955161424e-06, + "loss": 0.4743, + "step": 3092 + }, + { + "epoch": 0.42, + "learning_rate": 6.583525193094007e-06, + "loss": 0.4925, + "step": 3093 + }, + { + "epoch": 0.42, + "learning_rate": 6.581461131130619e-06, + "loss": 0.4982, + "step": 3094 + }, + { + "epoch": 0.42, + "learning_rate": 6.579396769662161e-06, + "loss": 0.4917, + "step": 3095 + }, + { + "epoch": 0.42, + "learning_rate": 6.577332109079593e-06, + "loss": 0.4679, + "step": 3096 + }, + { + "epoch": 0.42, + "learning_rate": 6.575267149773932e-06, + "loss": 0.4952, + "step": 3097 + }, + { + "epoch": 0.42, + "learning_rate": 6.5732018921362475e-06, + "loss": 0.513, + "step": 3098 + }, + { + "epoch": 0.42, + "learning_rate": 6.5711363365576706e-06, + "loss": 0.4955, + "step": 3099 + }, + { + "epoch": 0.42, + "learning_rate": 6.569070483429387e-06, + "loss": 0.4864, + "step": 3100 + }, + { + "epoch": 0.42, + "learning_rate": 6.567004333142636e-06, + "loss": 0.4744, + "step": 3101 + }, + { + "epoch": 0.42, + "learning_rate": 6.564937886088718e-06, + "loss": 0.4755, + "step": 3102 + }, + { + "epoch": 0.42, + "learning_rate": 6.5628711426589866e-06, + "loss": 0.4868, + "step": 3103 + }, + { + "epoch": 0.42, + "learning_rate": 6.56080410324485e-06, + "loss": 0.4929, + "step": 3104 + }, + { + "epoch": 0.42, + "learning_rate": 6.5587367682377765e-06, + "loss": 0.4669, + "step": 3105 + }, + { + "epoch": 0.42, + "learning_rate": 6.5566691380292895e-06, + "loss": 0.4418, + "step": 3106 + }, + { + "epoch": 0.42, + "learning_rate": 6.554601213010965e-06, + "loss": 0.5054, + "step": 3107 + }, + { + "epoch": 0.42, + "learning_rate": 6.5525329935744375e-06, + "loss": 0.4618, + "step": 3108 + }, + { + "epoch": 0.42, + "learning_rate": 6.550464480111397e-06, + "loss": 0.4805, + "step": 3109 + }, + { + "epoch": 0.42, + "learning_rate": 6.54839567301359e-06, + "loss": 0.4711, + "step": 3110 + }, + { + "epoch": 0.42, + "learning_rate": 6.546326572672817e-06, + "loss": 0.471, + "step": 3111 + }, + { + "epoch": 0.42, + "learning_rate": 6.5442571794809326e-06, + "loss": 0.4626, + "step": 3112 + }, + { + "epoch": 0.42, + "learning_rate": 6.542187493829851e-06, + "loss": 0.4919, + "step": 3113 + }, + { + "epoch": 0.42, + "learning_rate": 6.540117516111541e-06, + "loss": 0.4944, + "step": 3114 + }, + { + "epoch": 0.42, + "learning_rate": 6.538047246718023e-06, + "loss": 0.4624, + "step": 3115 + }, + { + "epoch": 0.42, + "learning_rate": 6.535976686041374e-06, + "loss": 0.4976, + "step": 3116 + }, + { + "epoch": 0.42, + "learning_rate": 6.533905834473732e-06, + "loss": 0.4909, + "step": 3117 + }, + { + "epoch": 0.42, + "learning_rate": 6.53183469240728e-06, + "loss": 0.501, + "step": 3118 + }, + { + "epoch": 0.42, + "learning_rate": 6.529763260234265e-06, + "loss": 0.4893, + "step": 3119 + }, + { + "epoch": 0.42, + "learning_rate": 6.527691538346983e-06, + "loss": 0.5017, + "step": 3120 + }, + { + "epoch": 0.42, + "learning_rate": 6.525619527137789e-06, + "loss": 0.4784, + "step": 3121 + }, + { + "epoch": 0.42, + "learning_rate": 6.5235472269990875e-06, + "loss": 0.4824, + "step": 3122 + }, + { + "epoch": 0.42, + "learning_rate": 6.521474638323346e-06, + "loss": 0.5263, + "step": 3123 + }, + { + "epoch": 0.42, + "learning_rate": 6.519401761503079e-06, + "loss": 0.47, + "step": 3124 + }, + { + "epoch": 0.42, + "learning_rate": 6.517328596930856e-06, + "loss": 0.4793, + "step": 3125 + }, + { + "epoch": 0.42, + "learning_rate": 6.515255144999309e-06, + "loss": 0.4795, + "step": 3126 + }, + { + "epoch": 0.42, + "learning_rate": 6.513181406101116e-06, + "loss": 0.5189, + "step": 3127 + }, + { + "epoch": 0.42, + "learning_rate": 6.5111073806290095e-06, + "loss": 0.4716, + "step": 3128 + }, + { + "epoch": 0.42, + "learning_rate": 6.509033068975782e-06, + "loss": 0.4812, + "step": 3129 + }, + { + "epoch": 0.42, + "learning_rate": 6.506958471534277e-06, + "loss": 0.4895, + "step": 3130 + }, + { + "epoch": 0.42, + "learning_rate": 6.5048835886973905e-06, + "loss": 0.5027, + "step": 3131 + }, + { + "epoch": 0.42, + "learning_rate": 6.502808420858075e-06, + "loss": 0.4657, + "step": 3132 + }, + { + "epoch": 0.42, + "learning_rate": 6.500732968409339e-06, + "loss": 0.5217, + "step": 3133 + }, + { + "epoch": 0.42, + "learning_rate": 6.4986572317442376e-06, + "loss": 0.4911, + "step": 3134 + }, + { + "epoch": 0.42, + "learning_rate": 6.4965812112558864e-06, + "loss": 0.5014, + "step": 3135 + }, + { + "epoch": 0.42, + "learning_rate": 6.494504907337453e-06, + "loss": 0.5061, + "step": 3136 + }, + { + "epoch": 0.42, + "learning_rate": 6.4924283203821585e-06, + "loss": 0.4989, + "step": 3137 + }, + { + "epoch": 0.42, + "learning_rate": 6.490351450783275e-06, + "loss": 0.4771, + "step": 3138 + }, + { + "epoch": 0.42, + "learning_rate": 6.488274298934134e-06, + "loss": 0.4887, + "step": 3139 + }, + { + "epoch": 0.42, + "learning_rate": 6.486196865228113e-06, + "loss": 0.4663, + "step": 3140 + }, + { + "epoch": 0.42, + "learning_rate": 6.48411915005865e-06, + "loss": 0.5136, + "step": 3141 + }, + { + "epoch": 0.42, + "learning_rate": 6.482041153819233e-06, + "loss": 0.444, + "step": 3142 + }, + { + "epoch": 0.42, + "learning_rate": 6.4799628769034015e-06, + "loss": 0.4843, + "step": 3143 + }, + { + "epoch": 0.42, + "learning_rate": 6.4778843197047516e-06, + "loss": 0.4724, + "step": 3144 + }, + { + "epoch": 0.42, + "learning_rate": 6.475805482616931e-06, + "loss": 0.5154, + "step": 3145 + }, + { + "epoch": 0.42, + "learning_rate": 6.473726366033638e-06, + "loss": 0.4815, + "step": 3146 + }, + { + "epoch": 0.42, + "learning_rate": 6.471646970348629e-06, + "loss": 0.4993, + "step": 3147 + }, + { + "epoch": 0.42, + "learning_rate": 6.46956729595571e-06, + "loss": 0.4881, + "step": 3148 + }, + { + "epoch": 0.42, + "learning_rate": 6.467487343248739e-06, + "loss": 0.4647, + "step": 3149 + }, + { + "epoch": 0.42, + "learning_rate": 6.4654071126216285e-06, + "loss": 0.4725, + "step": 3150 + }, + { + "epoch": 0.42, + "learning_rate": 6.463326604468343e-06, + "loss": 0.4856, + "step": 3151 + }, + { + "epoch": 0.42, + "learning_rate": 6.4612458191828985e-06, + "loss": 0.4903, + "step": 3152 + }, + { + "epoch": 0.42, + "learning_rate": 6.4591647571593674e-06, + "loss": 0.4583, + "step": 3153 + }, + { + "epoch": 0.42, + "learning_rate": 6.457083418791869e-06, + "loss": 0.5329, + "step": 3154 + }, + { + "epoch": 0.42, + "learning_rate": 6.455001804474578e-06, + "loss": 0.4514, + "step": 3155 + }, + { + "epoch": 0.42, + "learning_rate": 6.452919914601724e-06, + "loss": 0.4963, + "step": 3156 + }, + { + "epoch": 0.42, + "learning_rate": 6.450837749567581e-06, + "loss": 0.4863, + "step": 3157 + }, + { + "epoch": 0.42, + "learning_rate": 6.448755309766483e-06, + "loss": 0.4913, + "step": 3158 + }, + { + "epoch": 0.42, + "learning_rate": 6.446672595592813e-06, + "loss": 0.4922, + "step": 3159 + }, + { + "epoch": 0.42, + "learning_rate": 6.444589607441006e-06, + "loss": 0.4972, + "step": 3160 + }, + { + "epoch": 0.42, + "learning_rate": 6.442506345705546e-06, + "loss": 0.508, + "step": 3161 + }, + { + "epoch": 0.42, + "learning_rate": 6.440422810780974e-06, + "loss": 0.5163, + "step": 3162 + }, + { + "epoch": 0.42, + "learning_rate": 6.438339003061881e-06, + "loss": 0.5245, + "step": 3163 + }, + { + "epoch": 0.43, + "learning_rate": 6.436254922942906e-06, + "loss": 0.4961, + "step": 3164 + }, + { + "epoch": 0.43, + "learning_rate": 6.434170570818745e-06, + "loss": 0.4891, + "step": 3165 + }, + { + "epoch": 0.43, + "learning_rate": 6.432085947084143e-06, + "loss": 0.4411, + "step": 3166 + }, + { + "epoch": 0.43, + "learning_rate": 6.430001052133896e-06, + "loss": 0.5122, + "step": 3167 + }, + { + "epoch": 0.43, + "learning_rate": 6.427915886362852e-06, + "loss": 0.4856, + "step": 3168 + }, + { + "epoch": 0.43, + "learning_rate": 6.4258304501659105e-06, + "loss": 0.5211, + "step": 3169 + }, + { + "epoch": 0.43, + "learning_rate": 6.423744743938021e-06, + "loss": 0.4815, + "step": 3170 + }, + { + "epoch": 0.43, + "learning_rate": 6.421658768074185e-06, + "loss": 0.4746, + "step": 3171 + }, + { + "epoch": 0.43, + "learning_rate": 6.4195725229694576e-06, + "loss": 0.5001, + "step": 3172 + }, + { + "epoch": 0.43, + "learning_rate": 6.417486009018938e-06, + "loss": 0.4894, + "step": 3173 + }, + { + "epoch": 0.43, + "learning_rate": 6.415399226617784e-06, + "loss": 0.5012, + "step": 3174 + }, + { + "epoch": 0.43, + "learning_rate": 6.413312176161202e-06, + "loss": 0.4837, + "step": 3175 + }, + { + "epoch": 0.43, + "learning_rate": 6.4112248580444445e-06, + "loss": 0.4737, + "step": 3176 + }, + { + "epoch": 0.43, + "learning_rate": 6.40913727266282e-06, + "loss": 0.4974, + "step": 3177 + }, + { + "epoch": 0.43, + "learning_rate": 6.407049420411688e-06, + "loss": 0.4926, + "step": 3178 + }, + { + "epoch": 0.43, + "learning_rate": 6.404961301686452e-06, + "loss": 0.4635, + "step": 3179 + }, + { + "epoch": 0.43, + "learning_rate": 6.402872916882573e-06, + "loss": 0.4994, + "step": 3180 + }, + { + "epoch": 0.43, + "learning_rate": 6.400784266395562e-06, + "loss": 0.5061, + "step": 3181 + }, + { + "epoch": 0.43, + "learning_rate": 6.398695350620974e-06, + "loss": 0.5024, + "step": 3182 + }, + { + "epoch": 0.43, + "learning_rate": 6.39660616995442e-06, + "loss": 0.4897, + "step": 3183 + }, + { + "epoch": 0.43, + "learning_rate": 6.394516724791562e-06, + "loss": 0.5042, + "step": 3184 + }, + { + "epoch": 0.43, + "learning_rate": 6.392427015528107e-06, + "loss": 0.4933, + "step": 3185 + }, + { + "epoch": 0.43, + "learning_rate": 6.390337042559814e-06, + "loss": 0.4757, + "step": 3186 + }, + { + "epoch": 0.43, + "learning_rate": 6.388246806282495e-06, + "loss": 0.4391, + "step": 3187 + }, + { + "epoch": 0.43, + "learning_rate": 6.386156307092007e-06, + "loss": 0.4707, + "step": 3188 + }, + { + "epoch": 0.43, + "learning_rate": 6.38406554538426e-06, + "loss": 0.4826, + "step": 3189 + }, + { + "epoch": 0.43, + "learning_rate": 6.381974521555214e-06, + "loss": 0.4518, + "step": 3190 + }, + { + "epoch": 0.43, + "learning_rate": 6.379883236000879e-06, + "loss": 0.4701, + "step": 3191 + }, + { + "epoch": 0.43, + "learning_rate": 6.377791689117309e-06, + "loss": 0.5167, + "step": 3192 + }, + { + "epoch": 0.43, + "learning_rate": 6.375699881300614e-06, + "loss": 0.4791, + "step": 3193 + }, + { + "epoch": 0.43, + "learning_rate": 6.373607812946952e-06, + "loss": 0.5212, + "step": 3194 + }, + { + "epoch": 0.43, + "learning_rate": 6.371515484452527e-06, + "loss": 0.4962, + "step": 3195 + }, + { + "epoch": 0.43, + "learning_rate": 6.3694228962135976e-06, + "loss": 0.4651, + "step": 3196 + }, + { + "epoch": 0.43, + "learning_rate": 6.367330048626467e-06, + "loss": 0.4691, + "step": 3197 + }, + { + "epoch": 0.43, + "learning_rate": 6.365236942087489e-06, + "loss": 0.486, + "step": 3198 + }, + { + "epoch": 0.43, + "learning_rate": 6.363143576993067e-06, + "loss": 0.4872, + "step": 3199 + }, + { + "epoch": 0.43, + "learning_rate": 6.361049953739653e-06, + "loss": 0.4962, + "step": 3200 + }, + { + "epoch": 0.43, + "learning_rate": 6.3589560727237485e-06, + "loss": 0.4915, + "step": 3201 + }, + { + "epoch": 0.43, + "learning_rate": 6.356861934341903e-06, + "loss": 0.4665, + "step": 3202 + }, + { + "epoch": 0.43, + "learning_rate": 6.354767538990715e-06, + "loss": 0.4966, + "step": 3203 + }, + { + "epoch": 0.43, + "learning_rate": 6.352672887066831e-06, + "loss": 0.4773, + "step": 3204 + }, + { + "epoch": 0.43, + "learning_rate": 6.350577978966947e-06, + "loss": 0.4864, + "step": 3205 + }, + { + "epoch": 0.43, + "learning_rate": 6.348482815087806e-06, + "loss": 0.4978, + "step": 3206 + }, + { + "epoch": 0.43, + "learning_rate": 6.346387395826204e-06, + "loss": 0.4761, + "step": 3207 + }, + { + "epoch": 0.43, + "learning_rate": 6.344291721578979e-06, + "loss": 0.4847, + "step": 3208 + }, + { + "epoch": 0.43, + "learning_rate": 6.342195792743022e-06, + "loss": 0.4795, + "step": 3209 + }, + { + "epoch": 0.43, + "learning_rate": 6.340099609715269e-06, + "loss": 0.4667, + "step": 3210 + }, + { + "epoch": 0.43, + "learning_rate": 6.3380031728927086e-06, + "loss": 0.4631, + "step": 3211 + }, + { + "epoch": 0.43, + "learning_rate": 6.335906482672369e-06, + "loss": 0.4637, + "step": 3212 + }, + { + "epoch": 0.43, + "learning_rate": 6.333809539451339e-06, + "loss": 0.4633, + "step": 3213 + }, + { + "epoch": 0.43, + "learning_rate": 6.331712343626744e-06, + "loss": 0.5021, + "step": 3214 + }, + { + "epoch": 0.43, + "learning_rate": 6.329614895595761e-06, + "loss": 0.497, + "step": 3215 + }, + { + "epoch": 0.43, + "learning_rate": 6.327517195755617e-06, + "loss": 0.4704, + "step": 3216 + }, + { + "epoch": 0.43, + "learning_rate": 6.325419244503585e-06, + "loss": 0.4756, + "step": 3217 + }, + { + "epoch": 0.43, + "learning_rate": 6.323321042236986e-06, + "loss": 0.4966, + "step": 3218 + }, + { + "epoch": 0.43, + "learning_rate": 6.321222589353185e-06, + "loss": 0.4591, + "step": 3219 + }, + { + "epoch": 0.43, + "learning_rate": 6.319123886249602e-06, + "loss": 0.4758, + "step": 3220 + }, + { + "epoch": 0.43, + "learning_rate": 6.317024933323697e-06, + "loss": 0.4856, + "step": 3221 + }, + { + "epoch": 0.43, + "learning_rate": 6.314925730972979e-06, + "loss": 0.4819, + "step": 3222 + }, + { + "epoch": 0.43, + "learning_rate": 6.31282627959501e-06, + "loss": 0.4931, + "step": 3223 + }, + { + "epoch": 0.43, + "learning_rate": 6.310726579587393e-06, + "loss": 0.498, + "step": 3224 + }, + { + "epoch": 0.43, + "learning_rate": 6.308626631347776e-06, + "loss": 0.4875, + "step": 3225 + }, + { + "epoch": 0.43, + "learning_rate": 6.306526435273862e-06, + "loss": 0.481, + "step": 3226 + }, + { + "epoch": 0.43, + "learning_rate": 6.304425991763396e-06, + "loss": 0.4983, + "step": 3227 + }, + { + "epoch": 0.43, + "learning_rate": 6.30232530121417e-06, + "loss": 0.5001, + "step": 3228 + }, + { + "epoch": 0.43, + "learning_rate": 6.300224364024021e-06, + "loss": 0.4537, + "step": 3229 + }, + { + "epoch": 0.43, + "learning_rate": 6.298123180590841e-06, + "loss": 0.4738, + "step": 3230 + }, + { + "epoch": 0.43, + "learning_rate": 6.296021751312556e-06, + "loss": 0.5225, + "step": 3231 + }, + { + "epoch": 0.43, + "learning_rate": 6.29392007658715e-06, + "loss": 0.4931, + "step": 3232 + }, + { + "epoch": 0.43, + "learning_rate": 6.291818156812647e-06, + "loss": 0.4687, + "step": 3233 + }, + { + "epoch": 0.43, + "learning_rate": 6.2897159923871174e-06, + "loss": 0.497, + "step": 3234 + }, + { + "epoch": 0.43, + "learning_rate": 6.287613583708682e-06, + "loss": 0.4689, + "step": 3235 + }, + { + "epoch": 0.43, + "learning_rate": 6.285510931175508e-06, + "loss": 0.5051, + "step": 3236 + }, + { + "epoch": 0.43, + "learning_rate": 6.2834080351858e-06, + "loss": 0.4917, + "step": 3237 + }, + { + "epoch": 0.44, + "learning_rate": 6.281304896137821e-06, + "loss": 0.4609, + "step": 3238 + }, + { + "epoch": 0.44, + "learning_rate": 6.279201514429869e-06, + "loss": 0.4716, + "step": 3239 + }, + { + "epoch": 0.44, + "learning_rate": 6.2770978904602965e-06, + "loss": 0.468, + "step": 3240 + }, + { + "epoch": 0.44, + "learning_rate": 6.274994024627498e-06, + "loss": 0.4828, + "step": 3241 + }, + { + "epoch": 0.44, + "learning_rate": 6.272889917329912e-06, + "loss": 0.4739, + "step": 3242 + }, + { + "epoch": 0.44, + "learning_rate": 6.270785568966027e-06, + "loss": 0.4728, + "step": 3243 + }, + { + "epoch": 0.44, + "learning_rate": 6.268680979934376e-06, + "loss": 0.4693, + "step": 3244 + }, + { + "epoch": 0.44, + "learning_rate": 6.266576150633534e-06, + "loss": 0.4495, + "step": 3245 + }, + { + "epoch": 0.44, + "learning_rate": 6.264471081462125e-06, + "loss": 0.5069, + "step": 3246 + }, + { + "epoch": 0.44, + "learning_rate": 6.2623657728188194e-06, + "loss": 0.4823, + "step": 3247 + }, + { + "epoch": 0.44, + "learning_rate": 6.260260225102328e-06, + "loss": 0.4727, + "step": 3248 + }, + { + "epoch": 0.44, + "learning_rate": 6.2581544387114126e-06, + "loss": 0.4617, + "step": 3249 + }, + { + "epoch": 0.44, + "learning_rate": 6.256048414044877e-06, + "loss": 0.4889, + "step": 3250 + }, + { + "epoch": 0.44, + "learning_rate": 6.253942151501571e-06, + "loss": 0.5017, + "step": 3251 + }, + { + "epoch": 0.44, + "learning_rate": 6.251835651480387e-06, + "loss": 0.5023, + "step": 3252 + }, + { + "epoch": 0.44, + "learning_rate": 6.249728914380267e-06, + "loss": 0.4857, + "step": 3253 + }, + { + "epoch": 0.44, + "learning_rate": 6.247621940600196e-06, + "loss": 0.4953, + "step": 3254 + }, + { + "epoch": 0.44, + "learning_rate": 6.2455147305392e-06, + "loss": 0.4693, + "step": 3255 + }, + { + "epoch": 0.44, + "learning_rate": 6.243407284596357e-06, + "loss": 0.478, + "step": 3256 + }, + { + "epoch": 0.44, + "learning_rate": 6.241299603170784e-06, + "loss": 0.4837, + "step": 3257 + }, + { + "epoch": 0.44, + "learning_rate": 6.239191686661642e-06, + "loss": 0.4569, + "step": 3258 + }, + { + "epoch": 0.44, + "learning_rate": 6.2370835354681425e-06, + "loss": 0.4839, + "step": 3259 + }, + { + "epoch": 0.44, + "learning_rate": 6.234975149989537e-06, + "loss": 0.4678, + "step": 3260 + }, + { + "epoch": 0.44, + "learning_rate": 6.232866530625119e-06, + "loss": 0.4586, + "step": 3261 + }, + { + "epoch": 0.44, + "learning_rate": 6.230757677774235e-06, + "loss": 0.4604, + "step": 3262 + }, + { + "epoch": 0.44, + "learning_rate": 6.228648591836266e-06, + "loss": 0.4903, + "step": 3263 + }, + { + "epoch": 0.44, + "learning_rate": 6.226539273210642e-06, + "loss": 0.484, + "step": 3264 + }, + { + "epoch": 0.44, + "learning_rate": 6.224429722296836e-06, + "loss": 0.4673, + "step": 3265 + }, + { + "epoch": 0.44, + "learning_rate": 6.2223199394943675e-06, + "loss": 0.4628, + "step": 3266 + }, + { + "epoch": 0.44, + "learning_rate": 6.220209925202796e-06, + "loss": 0.5215, + "step": 3267 + }, + { + "epoch": 0.44, + "learning_rate": 6.218099679821726e-06, + "loss": 0.492, + "step": 3268 + }, + { + "epoch": 0.44, + "learning_rate": 6.215989203750809e-06, + "loss": 0.48, + "step": 3269 + }, + { + "epoch": 0.44, + "learning_rate": 6.213878497389734e-06, + "loss": 0.5097, + "step": 3270 + }, + { + "epoch": 0.44, + "learning_rate": 6.211767561138241e-06, + "loss": 0.4702, + "step": 3271 + }, + { + "epoch": 0.44, + "learning_rate": 6.2096563953961085e-06, + "loss": 0.4817, + "step": 3272 + }, + { + "epoch": 0.44, + "learning_rate": 6.2075450005631575e-06, + "loss": 0.4706, + "step": 3273 + }, + { + "epoch": 0.44, + "learning_rate": 6.205433377039256e-06, + "loss": 0.4943, + "step": 3274 + }, + { + "epoch": 0.44, + "learning_rate": 6.203321525224316e-06, + "loss": 0.4834, + "step": 3275 + }, + { + "epoch": 0.44, + "learning_rate": 6.201209445518288e-06, + "loss": 0.4825, + "step": 3276 + }, + { + "epoch": 0.44, + "learning_rate": 6.199097138321169e-06, + "loss": 0.4449, + "step": 3277 + }, + { + "epoch": 0.44, + "learning_rate": 6.196984604032998e-06, + "loss": 0.4692, + "step": 3278 + }, + { + "epoch": 0.44, + "learning_rate": 6.194871843053857e-06, + "loss": 0.4895, + "step": 3279 + }, + { + "epoch": 0.44, + "learning_rate": 6.192758855783874e-06, + "loss": 0.496, + "step": 3280 + }, + { + "epoch": 0.44, + "learning_rate": 6.1906456426232145e-06, + "loss": 0.4549, + "step": 3281 + }, + { + "epoch": 0.44, + "learning_rate": 6.188532203972088e-06, + "loss": 0.4846, + "step": 3282 + }, + { + "epoch": 0.44, + "learning_rate": 6.1864185402307535e-06, + "loss": 0.5138, + "step": 3283 + }, + { + "epoch": 0.44, + "learning_rate": 6.184304651799502e-06, + "loss": 0.4803, + "step": 3284 + }, + { + "epoch": 0.44, + "learning_rate": 6.182190539078675e-06, + "loss": 0.5088, + "step": 3285 + }, + { + "epoch": 0.44, + "learning_rate": 6.180076202468654e-06, + "loss": 0.4749, + "step": 3286 + }, + { + "epoch": 0.44, + "learning_rate": 6.1779616423698615e-06, + "loss": 0.4667, + "step": 3287 + }, + { + "epoch": 0.44, + "learning_rate": 6.1758468591827635e-06, + "loss": 0.4897, + "step": 3288 + }, + { + "epoch": 0.44, + "learning_rate": 6.17373185330787e-06, + "loss": 0.5068, + "step": 3289 + }, + { + "epoch": 0.44, + "learning_rate": 6.171616625145731e-06, + "loss": 0.4982, + "step": 3290 + }, + { + "epoch": 0.44, + "learning_rate": 6.169501175096936e-06, + "loss": 0.4535, + "step": 3291 + }, + { + "epoch": 0.44, + "learning_rate": 6.1673855035621225e-06, + "loss": 0.4966, + "step": 3292 + }, + { + "epoch": 0.44, + "learning_rate": 6.165269610941967e-06, + "loss": 0.459, + "step": 3293 + }, + { + "epoch": 0.44, + "learning_rate": 6.163153497637186e-06, + "loss": 0.4739, + "step": 3294 + }, + { + "epoch": 0.44, + "learning_rate": 6.161037164048542e-06, + "loss": 0.4694, + "step": 3295 + }, + { + "epoch": 0.44, + "learning_rate": 6.158920610576836e-06, + "loss": 0.471, + "step": 3296 + }, + { + "epoch": 0.44, + "learning_rate": 6.156803837622911e-06, + "loss": 0.4976, + "step": 3297 + }, + { + "epoch": 0.44, + "learning_rate": 6.154686845587653e-06, + "loss": 0.5117, + "step": 3298 + }, + { + "epoch": 0.44, + "learning_rate": 6.152569634871987e-06, + "loss": 0.5202, + "step": 3299 + }, + { + "epoch": 0.44, + "learning_rate": 6.150452205876885e-06, + "loss": 0.502, + "step": 3300 + }, + { + "epoch": 0.44, + "learning_rate": 6.148334559003351e-06, + "loss": 0.4751, + "step": 3301 + }, + { + "epoch": 0.44, + "learning_rate": 6.1462166946524385e-06, + "loss": 0.4874, + "step": 3302 + }, + { + "epoch": 0.44, + "learning_rate": 6.144098613225239e-06, + "loss": 0.4825, + "step": 3303 + }, + { + "epoch": 0.44, + "learning_rate": 6.1419803151228855e-06, + "loss": 0.4789, + "step": 3304 + }, + { + "epoch": 0.44, + "learning_rate": 6.139861800746553e-06, + "loss": 0.4541, + "step": 3305 + }, + { + "epoch": 0.44, + "learning_rate": 6.137743070497454e-06, + "loss": 0.5027, + "step": 3306 + }, + { + "epoch": 0.44, + "learning_rate": 6.135624124776845e-06, + "loss": 0.5026, + "step": 3307 + }, + { + "epoch": 0.44, + "learning_rate": 6.133504963986025e-06, + "loss": 0.4923, + "step": 3308 + }, + { + "epoch": 0.44, + "learning_rate": 6.131385588526329e-06, + "loss": 0.5194, + "step": 3309 + }, + { + "epoch": 0.44, + "learning_rate": 6.1292659987991345e-06, + "loss": 0.49, + "step": 3310 + }, + { + "epoch": 0.44, + "learning_rate": 6.127146195205862e-06, + "loss": 0.4868, + "step": 3311 + }, + { + "epoch": 0.44, + "learning_rate": 6.1250261781479696e-06, + "loss": 0.5161, + "step": 3312 + }, + { + "epoch": 0.45, + "learning_rate": 6.122905948026956e-06, + "loss": 0.4926, + "step": 3313 + }, + { + "epoch": 0.45, + "learning_rate": 6.120785505244363e-06, + "loss": 0.4895, + "step": 3314 + }, + { + "epoch": 0.45, + "learning_rate": 6.118664850201769e-06, + "loss": 0.4958, + "step": 3315 + }, + { + "epoch": 0.45, + "learning_rate": 6.116543983300796e-06, + "loss": 0.4792, + "step": 3316 + }, + { + "epoch": 0.45, + "learning_rate": 6.114422904943103e-06, + "loss": 0.4881, + "step": 3317 + }, + { + "epoch": 0.45, + "learning_rate": 6.11230161553039e-06, + "loss": 0.494, + "step": 3318 + }, + { + "epoch": 0.45, + "learning_rate": 6.110180115464399e-06, + "loss": 0.4823, + "step": 3319 + }, + { + "epoch": 0.45, + "learning_rate": 6.108058405146908e-06, + "loss": 0.5304, + "step": 3320 + }, + { + "epoch": 0.45, + "learning_rate": 6.105936484979742e-06, + "loss": 0.4828, + "step": 3321 + }, + { + "epoch": 0.45, + "learning_rate": 6.1038143553647565e-06, + "loss": 0.492, + "step": 3322 + }, + { + "epoch": 0.45, + "learning_rate": 6.1016920167038516e-06, + "loss": 0.5097, + "step": 3323 + }, + { + "epoch": 0.45, + "learning_rate": 6.099569469398968e-06, + "loss": 0.4531, + "step": 3324 + }, + { + "epoch": 0.45, + "learning_rate": 6.0974467138520844e-06, + "loss": 0.4712, + "step": 3325 + }, + { + "epoch": 0.45, + "learning_rate": 6.095323750465217e-06, + "loss": 0.4729, + "step": 3326 + }, + { + "epoch": 0.45, + "learning_rate": 6.0932005796404256e-06, + "loss": 0.4639, + "step": 3327 + }, + { + "epoch": 0.45, + "learning_rate": 6.0910772017798046e-06, + "loss": 0.4789, + "step": 3328 + }, + { + "epoch": 0.45, + "learning_rate": 6.088953617285493e-06, + "loss": 0.4723, + "step": 3329 + }, + { + "epoch": 0.45, + "learning_rate": 6.086829826559663e-06, + "loss": 0.4646, + "step": 3330 + }, + { + "epoch": 0.45, + "learning_rate": 6.084705830004529e-06, + "loss": 0.4988, + "step": 3331 + }, + { + "epoch": 0.45, + "learning_rate": 6.082581628022347e-06, + "loss": 0.4921, + "step": 3332 + }, + { + "epoch": 0.45, + "learning_rate": 6.080457221015407e-06, + "loss": 0.4585, + "step": 3333 + }, + { + "epoch": 0.45, + "learning_rate": 6.078332609386039e-06, + "loss": 0.4858, + "step": 3334 + }, + { + "epoch": 0.45, + "learning_rate": 6.076207793536615e-06, + "loss": 0.4499, + "step": 3335 + }, + { + "epoch": 0.45, + "learning_rate": 6.07408277386954e-06, + "loss": 0.4697, + "step": 3336 + }, + { + "epoch": 0.45, + "learning_rate": 6.0719575507872655e-06, + "loss": 0.4487, + "step": 3337 + }, + { + "epoch": 0.45, + "learning_rate": 6.069832124692274e-06, + "loss": 0.5265, + "step": 3338 + }, + { + "epoch": 0.45, + "learning_rate": 6.067706495987089e-06, + "loss": 0.48, + "step": 3339 + }, + { + "epoch": 0.45, + "learning_rate": 6.065580665074273e-06, + "loss": 0.4778, + "step": 3340 + }, + { + "epoch": 0.45, + "learning_rate": 6.063454632356428e-06, + "loss": 0.4993, + "step": 3341 + }, + { + "epoch": 0.45, + "learning_rate": 6.0613283982361915e-06, + "loss": 0.469, + "step": 3342 + }, + { + "epoch": 0.45, + "learning_rate": 6.059201963116242e-06, + "loss": 0.5223, + "step": 3343 + }, + { + "epoch": 0.45, + "learning_rate": 6.057075327399292e-06, + "loss": 0.5052, + "step": 3344 + }, + { + "epoch": 0.45, + "learning_rate": 6.054948491488098e-06, + "loss": 0.4832, + "step": 3345 + }, + { + "epoch": 0.45, + "learning_rate": 6.052821455785445e-06, + "loss": 0.5057, + "step": 3346 + }, + { + "epoch": 0.45, + "learning_rate": 6.050694220694167e-06, + "loss": 0.494, + "step": 3347 + }, + { + "epoch": 0.45, + "learning_rate": 6.048566786617131e-06, + "loss": 0.4933, + "step": 3348 + }, + { + "epoch": 0.45, + "learning_rate": 6.046439153957236e-06, + "loss": 0.4901, + "step": 3349 + }, + { + "epoch": 0.45, + "learning_rate": 6.044311323117429e-06, + "loss": 0.4996, + "step": 3350 + }, + { + "epoch": 0.45, + "learning_rate": 6.042183294500686e-06, + "loss": 0.4749, + "step": 3351 + }, + { + "epoch": 0.45, + "learning_rate": 6.040055068510026e-06, + "loss": 0.4531, + "step": 3352 + }, + { + "epoch": 0.45, + "learning_rate": 6.037926645548501e-06, + "loss": 0.4611, + "step": 3353 + }, + { + "epoch": 0.45, + "learning_rate": 6.035798026019204e-06, + "loss": 0.5043, + "step": 3354 + }, + { + "epoch": 0.45, + "learning_rate": 6.0336692103252635e-06, + "loss": 0.4871, + "step": 3355 + }, + { + "epoch": 0.45, + "learning_rate": 6.0315401988698445e-06, + "loss": 0.4829, + "step": 3356 + }, + { + "epoch": 0.45, + "learning_rate": 6.029410992056151e-06, + "loss": 0.4836, + "step": 3357 + }, + { + "epoch": 0.45, + "learning_rate": 6.027281590287421e-06, + "loss": 0.4635, + "step": 3358 + }, + { + "epoch": 0.45, + "learning_rate": 6.025151993966935e-06, + "loss": 0.4821, + "step": 3359 + }, + { + "epoch": 0.45, + "learning_rate": 6.023022203498004e-06, + "loss": 0.4682, + "step": 3360 + }, + { + "epoch": 0.45, + "learning_rate": 6.020892219283977e-06, + "loss": 0.446, + "step": 3361 + }, + { + "epoch": 0.45, + "learning_rate": 6.018762041728243e-06, + "loss": 0.5007, + "step": 3362 + }, + { + "epoch": 0.45, + "learning_rate": 6.016631671234228e-06, + "loss": 0.491, + "step": 3363 + }, + { + "epoch": 0.45, + "learning_rate": 6.0145011082053885e-06, + "loss": 0.4984, + "step": 3364 + }, + { + "epoch": 0.45, + "learning_rate": 6.012370353045223e-06, + "loss": 0.4661, + "step": 3365 + }, + { + "epoch": 0.45, + "learning_rate": 6.010239406157263e-06, + "loss": 0.4711, + "step": 3366 + }, + { + "epoch": 0.45, + "learning_rate": 6.008108267945081e-06, + "loss": 0.5132, + "step": 3367 + }, + { + "epoch": 0.45, + "learning_rate": 6.0059769388122815e-06, + "loss": 0.4694, + "step": 3368 + }, + { + "epoch": 0.45, + "learning_rate": 6.003845419162504e-06, + "loss": 0.5017, + "step": 3369 + }, + { + "epoch": 0.45, + "learning_rate": 6.001713709399428e-06, + "loss": 0.508, + "step": 3370 + }, + { + "epoch": 0.45, + "learning_rate": 5.99958180992677e-06, + "loss": 0.5013, + "step": 3371 + }, + { + "epoch": 0.45, + "learning_rate": 5.997449721148276e-06, + "loss": 0.4873, + "step": 3372 + }, + { + "epoch": 0.45, + "learning_rate": 5.995317443467733e-06, + "loss": 0.4859, + "step": 3373 + }, + { + "epoch": 0.45, + "learning_rate": 5.993184977288964e-06, + "loss": 0.4656, + "step": 3374 + }, + { + "epoch": 0.45, + "learning_rate": 5.9910523230158235e-06, + "loss": 0.5167, + "step": 3375 + }, + { + "epoch": 0.45, + "learning_rate": 5.988919481052205e-06, + "loss": 0.4846, + "step": 3376 + }, + { + "epoch": 0.45, + "learning_rate": 5.98678645180204e-06, + "loss": 0.4682, + "step": 3377 + }, + { + "epoch": 0.45, + "learning_rate": 5.98465323566929e-06, + "loss": 0.4895, + "step": 3378 + }, + { + "epoch": 0.45, + "learning_rate": 5.982519833057952e-06, + "loss": 0.4808, + "step": 3379 + }, + { + "epoch": 0.45, + "learning_rate": 5.980386244372063e-06, + "loss": 0.5202, + "step": 3380 + }, + { + "epoch": 0.45, + "learning_rate": 5.978252470015694e-06, + "loss": 0.465, + "step": 3381 + }, + { + "epoch": 0.45, + "learning_rate": 5.976118510392945e-06, + "loss": 0.4975, + "step": 3382 + }, + { + "epoch": 0.45, + "learning_rate": 5.973984365907962e-06, + "loss": 0.4859, + "step": 3383 + }, + { + "epoch": 0.45, + "learning_rate": 5.971850036964917e-06, + "loss": 0.5071, + "step": 3384 + }, + { + "epoch": 0.45, + "learning_rate": 5.969715523968018e-06, + "loss": 0.473, + "step": 3385 + }, + { + "epoch": 0.45, + "learning_rate": 5.967580827321515e-06, + "loss": 0.498, + "step": 3386 + }, + { + "epoch": 0.46, + "learning_rate": 5.965445947429684e-06, + "loss": 0.472, + "step": 3387 + }, + { + "epoch": 0.46, + "learning_rate": 5.963310884696839e-06, + "loss": 0.4633, + "step": 3388 + }, + { + "epoch": 0.46, + "learning_rate": 5.961175639527331e-06, + "loss": 0.4976, + "step": 3389 + }, + { + "epoch": 0.46, + "learning_rate": 5.959040212325542e-06, + "loss": 0.4856, + "step": 3390 + }, + { + "epoch": 0.46, + "learning_rate": 5.95690460349589e-06, + "loss": 0.4985, + "step": 3391 + }, + { + "epoch": 0.46, + "learning_rate": 5.954768813442828e-06, + "loss": 0.4831, + "step": 3392 + }, + { + "epoch": 0.46, + "learning_rate": 5.9526328425708425e-06, + "loss": 0.4867, + "step": 3393 + }, + { + "epoch": 0.46, + "learning_rate": 5.950496691284454e-06, + "loss": 0.4582, + "step": 3394 + }, + { + "epoch": 0.46, + "learning_rate": 5.948360359988218e-06, + "loss": 0.458, + "step": 3395 + }, + { + "epoch": 0.46, + "learning_rate": 5.946223849086724e-06, + "loss": 0.4735, + "step": 3396 + }, + { + "epoch": 0.46, + "learning_rate": 5.944087158984594e-06, + "loss": 0.506, + "step": 3397 + }, + { + "epoch": 0.46, + "learning_rate": 5.941950290086485e-06, + "loss": 0.4959, + "step": 3398 + }, + { + "epoch": 0.46, + "learning_rate": 5.939813242797091e-06, + "loss": 0.4983, + "step": 3399 + }, + { + "epoch": 0.46, + "learning_rate": 5.937676017521133e-06, + "loss": 0.4666, + "step": 3400 + }, + { + "epoch": 0.46, + "learning_rate": 5.935538614663372e-06, + "loss": 0.5114, + "step": 3401 + }, + { + "epoch": 0.46, + "learning_rate": 5.933401034628598e-06, + "loss": 0.5156, + "step": 3402 + }, + { + "epoch": 0.46, + "learning_rate": 5.93126327782164e-06, + "loss": 0.4897, + "step": 3403 + }, + { + "epoch": 0.46, + "learning_rate": 5.929125344647354e-06, + "loss": 0.4988, + "step": 3404 + }, + { + "epoch": 0.46, + "learning_rate": 5.926987235510633e-06, + "loss": 0.4892, + "step": 3405 + }, + { + "epoch": 0.46, + "learning_rate": 5.924848950816403e-06, + "loss": 0.4848, + "step": 3406 + }, + { + "epoch": 0.46, + "learning_rate": 5.922710490969625e-06, + "loss": 0.4735, + "step": 3407 + }, + { + "epoch": 0.46, + "learning_rate": 5.920571856375288e-06, + "loss": 0.4684, + "step": 3408 + }, + { + "epoch": 0.46, + "learning_rate": 5.91843304743842e-06, + "loss": 0.4755, + "step": 3409 + }, + { + "epoch": 0.46, + "learning_rate": 5.91629406456408e-06, + "loss": 0.4584, + "step": 3410 + }, + { + "epoch": 0.46, + "learning_rate": 5.914154908157355e-06, + "loss": 0.4675, + "step": 3411 + }, + { + "epoch": 0.46, + "learning_rate": 5.912015578623375e-06, + "loss": 0.5059, + "step": 3412 + }, + { + "epoch": 0.46, + "learning_rate": 5.909876076367294e-06, + "loss": 0.5019, + "step": 3413 + }, + { + "epoch": 0.46, + "learning_rate": 5.9077364017943005e-06, + "loss": 0.4787, + "step": 3414 + }, + { + "epoch": 0.46, + "learning_rate": 5.905596555309619e-06, + "loss": 0.4946, + "step": 3415 + }, + { + "epoch": 0.46, + "learning_rate": 5.9034565373185035e-06, + "loss": 0.4949, + "step": 3416 + }, + { + "epoch": 0.46, + "learning_rate": 5.901316348226243e-06, + "loss": 0.467, + "step": 3417 + }, + { + "epoch": 0.46, + "learning_rate": 5.8991759884381514e-06, + "loss": 0.4748, + "step": 3418 + }, + { + "epoch": 0.46, + "learning_rate": 5.897035458359589e-06, + "loss": 0.5293, + "step": 3419 + }, + { + "epoch": 0.46, + "learning_rate": 5.894894758395936e-06, + "loss": 0.502, + "step": 3420 + }, + { + "epoch": 0.46, + "learning_rate": 5.892753888952608e-06, + "loss": 0.4367, + "step": 3421 + }, + { + "epoch": 0.46, + "learning_rate": 5.890612850435055e-06, + "loss": 0.4996, + "step": 3422 + }, + { + "epoch": 0.46, + "learning_rate": 5.8884716432487585e-06, + "loss": 0.4301, + "step": 3423 + }, + { + "epoch": 0.46, + "learning_rate": 5.8863302677992294e-06, + "loss": 0.4799, + "step": 3424 + }, + { + "epoch": 0.46, + "learning_rate": 5.884188724492012e-06, + "loss": 0.4715, + "step": 3425 + }, + { + "epoch": 0.46, + "learning_rate": 5.882047013732687e-06, + "loss": 0.4716, + "step": 3426 + }, + { + "epoch": 0.46, + "learning_rate": 5.8799051359268555e-06, + "loss": 0.4478, + "step": 3427 + }, + { + "epoch": 0.46, + "learning_rate": 5.877763091480161e-06, + "loss": 0.5173, + "step": 3428 + }, + { + "epoch": 0.46, + "learning_rate": 5.875620880798275e-06, + "loss": 0.4913, + "step": 3429 + }, + { + "epoch": 0.46, + "learning_rate": 5.873478504286899e-06, + "loss": 0.4815, + "step": 3430 + }, + { + "epoch": 0.46, + "learning_rate": 5.871335962351767e-06, + "loss": 0.5022, + "step": 3431 + }, + { + "epoch": 0.46, + "learning_rate": 5.869193255398645e-06, + "loss": 0.4753, + "step": 3432 + }, + { + "epoch": 0.46, + "learning_rate": 5.867050383833328e-06, + "loss": 0.4807, + "step": 3433 + }, + { + "epoch": 0.46, + "learning_rate": 5.864907348061646e-06, + "loss": 0.4959, + "step": 3434 + }, + { + "epoch": 0.46, + "learning_rate": 5.862764148489458e-06, + "loss": 0.4963, + "step": 3435 + }, + { + "epoch": 0.46, + "learning_rate": 5.860620785522651e-06, + "loss": 0.5082, + "step": 3436 + }, + { + "epoch": 0.46, + "learning_rate": 5.858477259567149e-06, + "loss": 0.4773, + "step": 3437 + }, + { + "epoch": 0.46, + "learning_rate": 5.8563335710289025e-06, + "loss": 0.4906, + "step": 3438 + }, + { + "epoch": 0.46, + "learning_rate": 5.854189720313894e-06, + "loss": 0.4927, + "step": 3439 + }, + { + "epoch": 0.46, + "learning_rate": 5.8520457078281356e-06, + "loss": 0.5161, + "step": 3440 + }, + { + "epoch": 0.46, + "learning_rate": 5.849901533977674e-06, + "loss": 0.4364, + "step": 3441 + }, + { + "epoch": 0.46, + "learning_rate": 5.847757199168581e-06, + "loss": 0.4759, + "step": 3442 + }, + { + "epoch": 0.46, + "learning_rate": 5.8456127038069645e-06, + "loss": 0.5042, + "step": 3443 + }, + { + "epoch": 0.46, + "learning_rate": 5.8434680482989545e-06, + "loss": 0.4789, + "step": 3444 + }, + { + "epoch": 0.46, + "learning_rate": 5.841323233050722e-06, + "loss": 0.5075, + "step": 3445 + }, + { + "epoch": 0.46, + "learning_rate": 5.8391782584684605e-06, + "loss": 0.471, + "step": 3446 + }, + { + "epoch": 0.46, + "learning_rate": 5.837033124958397e-06, + "loss": 0.4594, + "step": 3447 + }, + { + "epoch": 0.46, + "learning_rate": 5.834887832926788e-06, + "loss": 0.4531, + "step": 3448 + }, + { + "epoch": 0.46, + "learning_rate": 5.8327423827799165e-06, + "loss": 0.4738, + "step": 3449 + }, + { + "epoch": 0.46, + "learning_rate": 5.830596774924101e-06, + "loss": 0.4484, + "step": 3450 + }, + { + "epoch": 0.46, + "learning_rate": 5.82845100976569e-06, + "loss": 0.4782, + "step": 3451 + }, + { + "epoch": 0.46, + "learning_rate": 5.826305087711055e-06, + "loss": 0.4813, + "step": 3452 + }, + { + "epoch": 0.46, + "learning_rate": 5.824159009166604e-06, + "loss": 0.4894, + "step": 3453 + }, + { + "epoch": 0.46, + "learning_rate": 5.822012774538771e-06, + "loss": 0.4967, + "step": 3454 + }, + { + "epoch": 0.46, + "learning_rate": 5.819866384234021e-06, + "loss": 0.4759, + "step": 3455 + }, + { + "epoch": 0.46, + "learning_rate": 5.81771983865885e-06, + "loss": 0.4779, + "step": 3456 + }, + { + "epoch": 0.46, + "learning_rate": 5.815573138219779e-06, + "loss": 0.4717, + "step": 3457 + }, + { + "epoch": 0.46, + "learning_rate": 5.8134262833233614e-06, + "loss": 0.4785, + "step": 3458 + }, + { + "epoch": 0.46, + "learning_rate": 5.811279274376181e-06, + "loss": 0.512, + "step": 3459 + }, + { + "epoch": 0.46, + "learning_rate": 5.809132111784847e-06, + "loss": 0.46, + "step": 3460 + }, + { + "epoch": 0.47, + "learning_rate": 5.806984795956001e-06, + "loss": 0.4601, + "step": 3461 + }, + { + "epoch": 0.47, + "learning_rate": 5.8048373272963144e-06, + "loss": 0.4998, + "step": 3462 + }, + { + "epoch": 0.47, + "learning_rate": 5.802689706212481e-06, + "loss": 0.5102, + "step": 3463 + }, + { + "epoch": 0.47, + "learning_rate": 5.8005419331112325e-06, + "loss": 0.5195, + "step": 3464 + }, + { + "epoch": 0.47, + "learning_rate": 5.798394008399323e-06, + "loss": 0.5079, + "step": 3465 + }, + { + "epoch": 0.47, + "learning_rate": 5.796245932483537e-06, + "loss": 0.4763, + "step": 3466 + }, + { + "epoch": 0.47, + "learning_rate": 5.79409770577069e-06, + "loss": 0.4684, + "step": 3467 + }, + { + "epoch": 0.47, + "learning_rate": 5.791949328667621e-06, + "loss": 0.5075, + "step": 3468 + }, + { + "epoch": 0.47, + "learning_rate": 5.789800801581202e-06, + "loss": 0.4742, + "step": 3469 + }, + { + "epoch": 0.47, + "learning_rate": 5.787652124918331e-06, + "loss": 0.4801, + "step": 3470 + }, + { + "epoch": 0.47, + "learning_rate": 5.785503299085938e-06, + "loss": 0.5036, + "step": 3471 + }, + { + "epoch": 0.47, + "learning_rate": 5.783354324490976e-06, + "loss": 0.4682, + "step": 3472 + }, + { + "epoch": 0.47, + "learning_rate": 5.781205201540428e-06, + "loss": 0.4696, + "step": 3473 + }, + { + "epoch": 0.47, + "learning_rate": 5.779055930641308e-06, + "loss": 0.5183, + "step": 3474 + }, + { + "epoch": 0.47, + "learning_rate": 5.776906512200654e-06, + "loss": 0.5162, + "step": 3475 + }, + { + "epoch": 0.47, + "learning_rate": 5.774756946625533e-06, + "loss": 0.4764, + "step": 3476 + }, + { + "epoch": 0.47, + "learning_rate": 5.772607234323043e-06, + "loss": 0.4838, + "step": 3477 + }, + { + "epoch": 0.47, + "learning_rate": 5.770457375700307e-06, + "loss": 0.468, + "step": 3478 + }, + { + "epoch": 0.47, + "learning_rate": 5.768307371164472e-06, + "loss": 0.4889, + "step": 3479 + }, + { + "epoch": 0.47, + "learning_rate": 5.766157221122724e-06, + "loss": 0.4508, + "step": 3480 + }, + { + "epoch": 0.47, + "learning_rate": 5.764006925982263e-06, + "loss": 0.4947, + "step": 3481 + }, + { + "epoch": 0.47, + "learning_rate": 5.761856486150324e-06, + "loss": 0.498, + "step": 3482 + }, + { + "epoch": 0.47, + "learning_rate": 5.75970590203417e-06, + "loss": 0.4469, + "step": 3483 + }, + { + "epoch": 0.47, + "learning_rate": 5.757555174041089e-06, + "loss": 0.497, + "step": 3484 + }, + { + "epoch": 0.47, + "learning_rate": 5.7554043025783945e-06, + "loss": 0.4916, + "step": 3485 + }, + { + "epoch": 0.47, + "learning_rate": 5.753253288053431e-06, + "loss": 0.4668, + "step": 3486 + }, + { + "epoch": 0.47, + "learning_rate": 5.75110213087357e-06, + "loss": 0.4656, + "step": 3487 + }, + { + "epoch": 0.47, + "learning_rate": 5.748950831446205e-06, + "loss": 0.5056, + "step": 3488 + }, + { + "epoch": 0.47, + "learning_rate": 5.746799390178763e-06, + "loss": 0.4873, + "step": 3489 + }, + { + "epoch": 0.47, + "learning_rate": 5.744647807478693e-06, + "loss": 0.481, + "step": 3490 + }, + { + "epoch": 0.47, + "learning_rate": 5.742496083753474e-06, + "loss": 0.4657, + "step": 3491 + }, + { + "epoch": 0.47, + "learning_rate": 5.740344219410607e-06, + "loss": 0.4498, + "step": 3492 + }, + { + "epoch": 0.47, + "learning_rate": 5.738192214857629e-06, + "loss": 0.4626, + "step": 3493 + }, + { + "epoch": 0.47, + "learning_rate": 5.73604007050209e-06, + "loss": 0.4928, + "step": 3494 + }, + { + "epoch": 0.47, + "learning_rate": 5.733887786751581e-06, + "loss": 0.4784, + "step": 3495 + }, + { + "epoch": 0.47, + "learning_rate": 5.731735364013706e-06, + "loss": 0.4951, + "step": 3496 + }, + { + "epoch": 0.47, + "learning_rate": 5.729582802696106e-06, + "loss": 0.4986, + "step": 3497 + }, + { + "epoch": 0.47, + "learning_rate": 5.727430103206443e-06, + "loss": 0.4944, + "step": 3498 + }, + { + "epoch": 0.47, + "learning_rate": 5.725277265952405e-06, + "loss": 0.4663, + "step": 3499 + }, + { + "epoch": 0.47, + "learning_rate": 5.723124291341707e-06, + "loss": 0.496, + "step": 3500 + }, + { + "epoch": 0.47, + "learning_rate": 5.720971179782092e-06, + "loss": 0.4791, + "step": 3501 + }, + { + "epoch": 0.47, + "learning_rate": 5.718817931681326e-06, + "loss": 0.4742, + "step": 3502 + }, + { + "epoch": 0.47, + "learning_rate": 5.716664547447201e-06, + "loss": 0.4819, + "step": 3503 + }, + { + "epoch": 0.47, + "learning_rate": 5.714511027487538e-06, + "loss": 0.5132, + "step": 3504 + }, + { + "epoch": 0.47, + "learning_rate": 5.71235737221018e-06, + "loss": 0.4747, + "step": 3505 + }, + { + "epoch": 0.47, + "learning_rate": 5.7102035820229966e-06, + "loss": 0.4821, + "step": 3506 + }, + { + "epoch": 0.47, + "learning_rate": 5.708049657333885e-06, + "loss": 0.4892, + "step": 3507 + }, + { + "epoch": 0.47, + "learning_rate": 5.705895598550765e-06, + "loss": 0.51, + "step": 3508 + }, + { + "epoch": 0.47, + "learning_rate": 5.703741406081582e-06, + "loss": 0.4727, + "step": 3509 + }, + { + "epoch": 0.47, + "learning_rate": 5.701587080334311e-06, + "loss": 0.479, + "step": 3510 + }, + { + "epoch": 0.47, + "learning_rate": 5.699432621716947e-06, + "loss": 0.4869, + "step": 3511 + }, + { + "epoch": 0.47, + "learning_rate": 5.697278030637512e-06, + "loss": 0.5123, + "step": 3512 + }, + { + "epoch": 0.47, + "learning_rate": 5.695123307504055e-06, + "loss": 0.4843, + "step": 3513 + }, + { + "epoch": 0.47, + "learning_rate": 5.692968452724647e-06, + "loss": 0.4977, + "step": 3514 + }, + { + "epoch": 0.47, + "learning_rate": 5.690813466707384e-06, + "loss": 0.5083, + "step": 3515 + }, + { + "epoch": 0.47, + "learning_rate": 5.68865834986039e-06, + "loss": 0.5061, + "step": 3516 + }, + { + "epoch": 0.47, + "learning_rate": 5.686503102591813e-06, + "loss": 0.4737, + "step": 3517 + }, + { + "epoch": 0.47, + "learning_rate": 5.68434772530982e-06, + "loss": 0.4609, + "step": 3518 + }, + { + "epoch": 0.47, + "learning_rate": 5.682192218422613e-06, + "loss": 0.4866, + "step": 3519 + }, + { + "epoch": 0.47, + "learning_rate": 5.68003658233841e-06, + "loss": 0.508, + "step": 3520 + }, + { + "epoch": 0.47, + "learning_rate": 5.677880817465454e-06, + "loss": 0.5229, + "step": 3521 + }, + { + "epoch": 0.47, + "learning_rate": 5.675724924212018e-06, + "loss": 0.5033, + "step": 3522 + }, + { + "epoch": 0.47, + "learning_rate": 5.673568902986395e-06, + "loss": 0.4828, + "step": 3523 + }, + { + "epoch": 0.47, + "learning_rate": 5.671412754196902e-06, + "loss": 0.5015, + "step": 3524 + }, + { + "epoch": 0.47, + "learning_rate": 5.669256478251881e-06, + "loss": 0.5105, + "step": 3525 + }, + { + "epoch": 0.47, + "learning_rate": 5.6671000755597015e-06, + "loss": 0.4679, + "step": 3526 + }, + { + "epoch": 0.47, + "learning_rate": 5.664943546528752e-06, + "loss": 0.4656, + "step": 3527 + }, + { + "epoch": 0.47, + "learning_rate": 5.662786891567445e-06, + "loss": 0.4845, + "step": 3528 + }, + { + "epoch": 0.47, + "learning_rate": 5.660630111084222e-06, + "loss": 0.4258, + "step": 3529 + }, + { + "epoch": 0.47, + "learning_rate": 5.658473205487542e-06, + "loss": 0.4853, + "step": 3530 + }, + { + "epoch": 0.47, + "learning_rate": 5.656316175185893e-06, + "loss": 0.4554, + "step": 3531 + }, + { + "epoch": 0.47, + "learning_rate": 5.654159020587784e-06, + "loss": 0.4957, + "step": 3532 + }, + { + "epoch": 0.47, + "learning_rate": 5.652001742101745e-06, + "loss": 0.4936, + "step": 3533 + }, + { + "epoch": 0.47, + "learning_rate": 5.649844340136336e-06, + "loss": 0.515, + "step": 3534 + }, + { + "epoch": 0.47, + "learning_rate": 5.647686815100134e-06, + "loss": 0.4879, + "step": 3535 + }, + { + "epoch": 0.48, + "learning_rate": 5.645529167401742e-06, + "loss": 0.4779, + "step": 3536 + }, + { + "epoch": 0.48, + "learning_rate": 5.643371397449789e-06, + "loss": 0.4829, + "step": 3537 + }, + { + "epoch": 0.48, + "learning_rate": 5.6412135056529214e-06, + "loss": 0.4913, + "step": 3538 + }, + { + "epoch": 0.48, + "learning_rate": 5.639055492419812e-06, + "loss": 0.5006, + "step": 3539 + }, + { + "epoch": 0.48, + "learning_rate": 5.636897358159159e-06, + "loss": 0.4985, + "step": 3540 + }, + { + "epoch": 0.48, + "learning_rate": 5.634739103279676e-06, + "loss": 0.4207, + "step": 3541 + }, + { + "epoch": 0.48, + "learning_rate": 5.632580728190108e-06, + "loss": 0.4829, + "step": 3542 + }, + { + "epoch": 0.48, + "learning_rate": 5.630422233299218e-06, + "loss": 0.4917, + "step": 3543 + }, + { + "epoch": 0.48, + "learning_rate": 5.6282636190157915e-06, + "loss": 0.4602, + "step": 3544 + }, + { + "epoch": 0.48, + "learning_rate": 5.626104885748637e-06, + "loss": 0.5011, + "step": 3545 + }, + { + "epoch": 0.48, + "learning_rate": 5.623946033906591e-06, + "loss": 0.5072, + "step": 3546 + }, + { + "epoch": 0.48, + "learning_rate": 5.621787063898504e-06, + "loss": 0.4835, + "step": 3547 + }, + { + "epoch": 0.48, + "learning_rate": 5.61962797613325e-06, + "loss": 0.4801, + "step": 3548 + }, + { + "epoch": 0.48, + "learning_rate": 5.617468771019734e-06, + "loss": 0.4808, + "step": 3549 + }, + { + "epoch": 0.48, + "learning_rate": 5.615309448966874e-06, + "loss": 0.513, + "step": 3550 + }, + { + "epoch": 0.48, + "learning_rate": 5.613150010383613e-06, + "loss": 0.4806, + "step": 3551 + }, + { + "epoch": 0.48, + "learning_rate": 5.610990455678916e-06, + "loss": 0.5114, + "step": 3552 + }, + { + "epoch": 0.48, + "learning_rate": 5.608830785261773e-06, + "loss": 0.4962, + "step": 3553 + }, + { + "epoch": 0.48, + "learning_rate": 5.606670999541189e-06, + "loss": 0.4777, + "step": 3554 + }, + { + "epoch": 0.48, + "learning_rate": 5.604511098926199e-06, + "loss": 0.4895, + "step": 3555 + }, + { + "epoch": 0.48, + "learning_rate": 5.602351083825854e-06, + "loss": 0.4815, + "step": 3556 + }, + { + "epoch": 0.48, + "learning_rate": 5.600190954649228e-06, + "loss": 0.4855, + "step": 3557 + }, + { + "epoch": 0.48, + "learning_rate": 5.598030711805419e-06, + "loss": 0.4815, + "step": 3558 + }, + { + "epoch": 0.48, + "learning_rate": 5.595870355703544e-06, + "loss": 0.4722, + "step": 3559 + }, + { + "epoch": 0.48, + "learning_rate": 5.593709886752742e-06, + "loss": 0.4889, + "step": 3560 + }, + { + "epoch": 0.48, + "learning_rate": 5.591549305362172e-06, + "loss": 0.4913, + "step": 3561 + }, + { + "epoch": 0.48, + "learning_rate": 5.589388611941018e-06, + "loss": 0.5174, + "step": 3562 + }, + { + "epoch": 0.48, + "learning_rate": 5.587227806898481e-06, + "loss": 0.4842, + "step": 3563 + }, + { + "epoch": 0.48, + "learning_rate": 5.585066890643787e-06, + "loss": 0.4623, + "step": 3564 + }, + { + "epoch": 0.48, + "learning_rate": 5.58290586358618e-06, + "loss": 0.4697, + "step": 3565 + }, + { + "epoch": 0.48, + "learning_rate": 5.580744726134927e-06, + "loss": 0.4534, + "step": 3566 + }, + { + "epoch": 0.48, + "learning_rate": 5.578583478699313e-06, + "loss": 0.4723, + "step": 3567 + }, + { + "epoch": 0.48, + "learning_rate": 5.576422121688649e-06, + "loss": 0.4558, + "step": 3568 + }, + { + "epoch": 0.48, + "learning_rate": 5.574260655512262e-06, + "loss": 0.4806, + "step": 3569 + }, + { + "epoch": 0.48, + "learning_rate": 5.5720990805795014e-06, + "loss": 0.4632, + "step": 3570 + }, + { + "epoch": 0.48, + "learning_rate": 5.5699373972997385e-06, + "loss": 0.5207, + "step": 3571 + }, + { + "epoch": 0.48, + "learning_rate": 5.567775606082362e-06, + "loss": 0.4405, + "step": 3572 + }, + { + "epoch": 0.48, + "learning_rate": 5.565613707336783e-06, + "loss": 0.5195, + "step": 3573 + }, + { + "epoch": 0.48, + "learning_rate": 5.563451701472433e-06, + "loss": 0.5244, + "step": 3574 + }, + { + "epoch": 0.48, + "learning_rate": 5.561289588898764e-06, + "loss": 0.5131, + "step": 3575 + }, + { + "epoch": 0.48, + "learning_rate": 5.5591273700252465e-06, + "loss": 0.4632, + "step": 3576 + }, + { + "epoch": 0.48, + "learning_rate": 5.5569650452613745e-06, + "loss": 0.4815, + "step": 3577 + }, + { + "epoch": 0.48, + "learning_rate": 5.554802615016659e-06, + "loss": 0.4819, + "step": 3578 + }, + { + "epoch": 0.48, + "learning_rate": 5.552640079700631e-06, + "loss": 0.4912, + "step": 3579 + }, + { + "epoch": 0.48, + "learning_rate": 5.550477439722842e-06, + "loss": 0.4884, + "step": 3580 + }, + { + "epoch": 0.48, + "learning_rate": 5.548314695492867e-06, + "loss": 0.4739, + "step": 3581 + }, + { + "epoch": 0.48, + "learning_rate": 5.546151847420293e-06, + "loss": 0.4777, + "step": 3582 + }, + { + "epoch": 0.48, + "learning_rate": 5.5439888959147344e-06, + "loss": 0.5139, + "step": 3583 + }, + { + "epoch": 0.48, + "learning_rate": 5.54182584138582e-06, + "loss": 0.5045, + "step": 3584 + }, + { + "epoch": 0.48, + "learning_rate": 5.539662684243201e-06, + "loss": 0.5085, + "step": 3585 + }, + { + "epoch": 0.48, + "learning_rate": 5.5374994248965475e-06, + "loss": 0.4586, + "step": 3586 + }, + { + "epoch": 0.48, + "learning_rate": 5.535336063755545e-06, + "loss": 0.4663, + "step": 3587 + }, + { + "epoch": 0.48, + "learning_rate": 5.533172601229906e-06, + "loss": 0.4995, + "step": 3588 + }, + { + "epoch": 0.48, + "learning_rate": 5.531009037729356e-06, + "loss": 0.494, + "step": 3589 + }, + { + "epoch": 0.48, + "learning_rate": 5.528845373663641e-06, + "loss": 0.4807, + "step": 3590 + }, + { + "epoch": 0.48, + "learning_rate": 5.526681609442527e-06, + "loss": 0.5064, + "step": 3591 + }, + { + "epoch": 0.48, + "learning_rate": 5.524517745475799e-06, + "loss": 0.4676, + "step": 3592 + }, + { + "epoch": 0.48, + "learning_rate": 5.522353782173261e-06, + "loss": 0.4893, + "step": 3593 + }, + { + "epoch": 0.48, + "learning_rate": 5.520189719944733e-06, + "loss": 0.4593, + "step": 3594 + }, + { + "epoch": 0.48, + "learning_rate": 5.518025559200059e-06, + "loss": 0.4743, + "step": 3595 + }, + { + "epoch": 0.48, + "learning_rate": 5.515861300349097e-06, + "loss": 0.5078, + "step": 3596 + }, + { + "epoch": 0.48, + "learning_rate": 5.513696943801724e-06, + "loss": 0.504, + "step": 3597 + }, + { + "epoch": 0.48, + "learning_rate": 5.51153248996784e-06, + "loss": 0.5043, + "step": 3598 + }, + { + "epoch": 0.48, + "learning_rate": 5.509367939257357e-06, + "loss": 0.472, + "step": 3599 + }, + { + "epoch": 0.48, + "learning_rate": 5.50720329208021e-06, + "loss": 0.486, + "step": 3600 + }, + { + "epoch": 0.48, + "learning_rate": 5.5050385488463505e-06, + "loss": 0.4967, + "step": 3601 + }, + { + "epoch": 0.48, + "learning_rate": 5.50287370996575e-06, + "loss": 0.4833, + "step": 3602 + }, + { + "epoch": 0.48, + "learning_rate": 5.500708775848392e-06, + "loss": 0.4794, + "step": 3603 + }, + { + "epoch": 0.48, + "learning_rate": 5.498543746904289e-06, + "loss": 0.49, + "step": 3604 + }, + { + "epoch": 0.48, + "learning_rate": 5.496378623543461e-06, + "loss": 0.4606, + "step": 3605 + }, + { + "epoch": 0.48, + "learning_rate": 5.494213406175949e-06, + "loss": 0.4876, + "step": 3606 + }, + { + "epoch": 0.48, + "learning_rate": 5.492048095211817e-06, + "loss": 0.4954, + "step": 3607 + }, + { + "epoch": 0.48, + "learning_rate": 5.489882691061139e-06, + "loss": 0.4801, + "step": 3608 + }, + { + "epoch": 0.48, + "learning_rate": 5.487717194134011e-06, + "loss": 0.4648, + "step": 3609 + }, + { + "epoch": 0.49, + "learning_rate": 5.485551604840546e-06, + "loss": 0.4855, + "step": 3610 + }, + { + "epoch": 0.49, + "learning_rate": 5.483385923590875e-06, + "loss": 0.4821, + "step": 3611 + }, + { + "epoch": 0.49, + "learning_rate": 5.4812201507951435e-06, + "loss": 0.5279, + "step": 3612 + }, + { + "epoch": 0.49, + "learning_rate": 5.479054286863518e-06, + "loss": 0.4786, + "step": 3613 + }, + { + "epoch": 0.49, + "learning_rate": 5.47688833220618e-06, + "loss": 0.4748, + "step": 3614 + }, + { + "epoch": 0.49, + "learning_rate": 5.474722287233329e-06, + "loss": 0.4929, + "step": 3615 + }, + { + "epoch": 0.49, + "learning_rate": 5.472556152355183e-06, + "loss": 0.5024, + "step": 3616 + }, + { + "epoch": 0.49, + "learning_rate": 5.470389927981975e-06, + "loss": 0.494, + "step": 3617 + }, + { + "epoch": 0.49, + "learning_rate": 5.468223614523953e-06, + "loss": 0.5138, + "step": 3618 + }, + { + "epoch": 0.49, + "learning_rate": 5.466057212391385e-06, + "loss": 0.4925, + "step": 3619 + }, + { + "epoch": 0.49, + "learning_rate": 5.463890721994559e-06, + "loss": 0.5159, + "step": 3620 + }, + { + "epoch": 0.49, + "learning_rate": 5.461724143743772e-06, + "loss": 0.4437, + "step": 3621 + }, + { + "epoch": 0.49, + "learning_rate": 5.459557478049343e-06, + "loss": 0.4894, + "step": 3622 + }, + { + "epoch": 0.49, + "learning_rate": 5.4573907253216055e-06, + "loss": 0.4747, + "step": 3623 + }, + { + "epoch": 0.49, + "learning_rate": 5.45522388597091e-06, + "loss": 0.4871, + "step": 3624 + }, + { + "epoch": 0.49, + "learning_rate": 5.453056960407624e-06, + "loss": 0.4549, + "step": 3625 + }, + { + "epoch": 0.49, + "learning_rate": 5.450889949042129e-06, + "loss": 0.4877, + "step": 3626 + }, + { + "epoch": 0.49, + "learning_rate": 5.448722852284827e-06, + "loss": 0.5061, + "step": 3627 + }, + { + "epoch": 0.49, + "learning_rate": 5.446555670546133e-06, + "loss": 0.4849, + "step": 3628 + }, + { + "epoch": 0.49, + "learning_rate": 5.444388404236478e-06, + "loss": 0.4965, + "step": 3629 + }, + { + "epoch": 0.49, + "learning_rate": 5.44222105376631e-06, + "loss": 0.4793, + "step": 3630 + }, + { + "epoch": 0.49, + "learning_rate": 5.440053619546094e-06, + "loss": 0.4892, + "step": 3631 + }, + { + "epoch": 0.49, + "learning_rate": 5.4378861019863075e-06, + "loss": 0.5036, + "step": 3632 + }, + { + "epoch": 0.49, + "learning_rate": 5.435718501497447e-06, + "loss": 0.504, + "step": 3633 + }, + { + "epoch": 0.49, + "learning_rate": 5.433550818490023e-06, + "loss": 0.4892, + "step": 3634 + }, + { + "epoch": 0.49, + "learning_rate": 5.431383053374565e-06, + "loss": 0.4942, + "step": 3635 + }, + { + "epoch": 0.49, + "learning_rate": 5.42921520656161e-06, + "loss": 0.4588, + "step": 3636 + }, + { + "epoch": 0.49, + "learning_rate": 5.4270472784617215e-06, + "loss": 0.4803, + "step": 3637 + }, + { + "epoch": 0.49, + "learning_rate": 5.424879269485469e-06, + "loss": 0.467, + "step": 3638 + }, + { + "epoch": 0.49, + "learning_rate": 5.422711180043439e-06, + "loss": 0.4715, + "step": 3639 + }, + { + "epoch": 0.49, + "learning_rate": 5.420543010546242e-06, + "loss": 0.4951, + "step": 3640 + }, + { + "epoch": 0.49, + "learning_rate": 5.418374761404492e-06, + "loss": 0.4734, + "step": 3641 + }, + { + "epoch": 0.49, + "learning_rate": 5.416206433028822e-06, + "loss": 0.4809, + "step": 3642 + }, + { + "epoch": 0.49, + "learning_rate": 5.414038025829884e-06, + "loss": 0.455, + "step": 3643 + }, + { + "epoch": 0.49, + "learning_rate": 5.411869540218342e-06, + "loss": 0.4977, + "step": 3644 + }, + { + "epoch": 0.49, + "learning_rate": 5.409700976604871e-06, + "loss": 0.4726, + "step": 3645 + }, + { + "epoch": 0.49, + "learning_rate": 5.407532335400168e-06, + "loss": 0.4734, + "step": 3646 + }, + { + "epoch": 0.49, + "learning_rate": 5.40536361701494e-06, + "loss": 0.4909, + "step": 3647 + }, + { + "epoch": 0.49, + "learning_rate": 5.40319482185991e-06, + "loss": 0.4905, + "step": 3648 + }, + { + "epoch": 0.49, + "learning_rate": 5.401025950345815e-06, + "loss": 0.4722, + "step": 3649 + }, + { + "epoch": 0.49, + "learning_rate": 5.398857002883408e-06, + "loss": 0.4776, + "step": 3650 + }, + { + "epoch": 0.49, + "learning_rate": 5.396687979883453e-06, + "loss": 0.5048, + "step": 3651 + }, + { + "epoch": 0.49, + "learning_rate": 5.394518881756731e-06, + "loss": 0.4856, + "step": 3652 + }, + { + "epoch": 0.49, + "learning_rate": 5.392349708914039e-06, + "loss": 0.4888, + "step": 3653 + }, + { + "epoch": 0.49, + "learning_rate": 5.390180461766183e-06, + "loss": 0.4557, + "step": 3654 + }, + { + "epoch": 0.49, + "learning_rate": 5.388011140723988e-06, + "loss": 0.5177, + "step": 3655 + }, + { + "epoch": 0.49, + "learning_rate": 5.385841746198289e-06, + "loss": 0.5258, + "step": 3656 + }, + { + "epoch": 0.49, + "learning_rate": 5.383672278599939e-06, + "loss": 0.448, + "step": 3657 + }, + { + "epoch": 0.49, + "learning_rate": 5.381502738339801e-06, + "loss": 0.4816, + "step": 3658 + }, + { + "epoch": 0.49, + "learning_rate": 5.379333125828757e-06, + "loss": 0.4515, + "step": 3659 + }, + { + "epoch": 0.49, + "learning_rate": 5.377163441477692e-06, + "loss": 0.5108, + "step": 3660 + }, + { + "epoch": 0.49, + "learning_rate": 5.374993685697519e-06, + "loss": 0.4855, + "step": 3661 + }, + { + "epoch": 0.49, + "learning_rate": 5.372823858899153e-06, + "loss": 0.4809, + "step": 3662 + }, + { + "epoch": 0.49, + "learning_rate": 5.370653961493528e-06, + "loss": 0.4692, + "step": 3663 + }, + { + "epoch": 0.49, + "learning_rate": 5.368483993891591e-06, + "loss": 0.4845, + "step": 3664 + }, + { + "epoch": 0.49, + "learning_rate": 5.3663139565043e-06, + "loss": 0.4781, + "step": 3665 + }, + { + "epoch": 0.49, + "learning_rate": 5.364143849742628e-06, + "loss": 0.4584, + "step": 3666 + }, + { + "epoch": 0.49, + "learning_rate": 5.361973674017561e-06, + "loss": 0.4611, + "step": 3667 + }, + { + "epoch": 0.49, + "learning_rate": 5.359803429740097e-06, + "loss": 0.4663, + "step": 3668 + }, + { + "epoch": 0.49, + "learning_rate": 5.357633117321249e-06, + "loss": 0.4569, + "step": 3669 + }, + { + "epoch": 0.49, + "learning_rate": 5.355462737172041e-06, + "loss": 0.4654, + "step": 3670 + }, + { + "epoch": 0.49, + "learning_rate": 5.353292289703511e-06, + "loss": 0.5074, + "step": 3671 + }, + { + "epoch": 0.49, + "learning_rate": 5.3511217753267084e-06, + "loss": 0.4981, + "step": 3672 + }, + { + "epoch": 0.49, + "learning_rate": 5.348951194452698e-06, + "loss": 0.4864, + "step": 3673 + }, + { + "epoch": 0.49, + "learning_rate": 5.346780547492554e-06, + "loss": 0.5096, + "step": 3674 + }, + { + "epoch": 0.49, + "learning_rate": 5.344609834857362e-06, + "loss": 0.492, + "step": 3675 + }, + { + "epoch": 0.49, + "learning_rate": 5.3424390569582264e-06, + "loss": 0.4529, + "step": 3676 + }, + { + "epoch": 0.49, + "learning_rate": 5.340268214206259e-06, + "loss": 0.5138, + "step": 3677 + }, + { + "epoch": 0.49, + "learning_rate": 5.338097307012584e-06, + "loss": 0.5152, + "step": 3678 + }, + { + "epoch": 0.49, + "learning_rate": 5.335926335788338e-06, + "loss": 0.5071, + "step": 3679 + }, + { + "epoch": 0.49, + "learning_rate": 5.333755300944674e-06, + "loss": 0.4591, + "step": 3680 + }, + { + "epoch": 0.49, + "learning_rate": 5.33158420289275e-06, + "loss": 0.4971, + "step": 3681 + }, + { + "epoch": 0.49, + "learning_rate": 5.32941304204374e-06, + "loss": 0.4813, + "step": 3682 + }, + { + "epoch": 0.49, + "learning_rate": 5.327241818808831e-06, + "loss": 0.4948, + "step": 3683 + }, + { + "epoch": 0.49, + "learning_rate": 5.325070533599219e-06, + "loss": 0.4807, + "step": 3684 + }, + { + "epoch": 0.5, + "learning_rate": 5.322899186826113e-06, + "loss": 0.4614, + "step": 3685 + }, + { + "epoch": 0.5, + "learning_rate": 5.3207277789007335e-06, + "loss": 0.4725, + "step": 3686 + }, + { + "epoch": 0.5, + "learning_rate": 5.318556310234313e-06, + "loss": 0.5059, + "step": 3687 + }, + { + "epoch": 0.5, + "learning_rate": 5.316384781238094e-06, + "loss": 0.4735, + "step": 3688 + }, + { + "epoch": 0.5, + "learning_rate": 5.314213192323336e-06, + "loss": 0.4855, + "step": 3689 + }, + { + "epoch": 0.5, + "learning_rate": 5.312041543901299e-06, + "loss": 0.4709, + "step": 3690 + }, + { + "epoch": 0.5, + "learning_rate": 5.309869836383264e-06, + "loss": 0.4936, + "step": 3691 + }, + { + "epoch": 0.5, + "learning_rate": 5.3076980701805205e-06, + "loss": 0.4845, + "step": 3692 + }, + { + "epoch": 0.5, + "learning_rate": 5.305526245704368e-06, + "loss": 0.4896, + "step": 3693 + }, + { + "epoch": 0.5, + "learning_rate": 5.303354363366115e-06, + "loss": 0.4717, + "step": 3694 + }, + { + "epoch": 0.5, + "learning_rate": 5.301182423577089e-06, + "loss": 0.4893, + "step": 3695 + }, + { + "epoch": 0.5, + "learning_rate": 5.299010426748618e-06, + "loss": 0.504, + "step": 3696 + }, + { + "epoch": 0.5, + "learning_rate": 5.296838373292047e-06, + "loss": 0.5112, + "step": 3697 + }, + { + "epoch": 0.5, + "learning_rate": 5.294666263618732e-06, + "loss": 0.4714, + "step": 3698 + }, + { + "epoch": 0.5, + "learning_rate": 5.292494098140035e-06, + "loss": 0.4786, + "step": 3699 + }, + { + "epoch": 0.5, + "learning_rate": 5.290321877267336e-06, + "loss": 0.4732, + "step": 3700 + }, + { + "epoch": 0.5, + "learning_rate": 5.2881496014120155e-06, + "loss": 0.4734, + "step": 3701 + }, + { + "epoch": 0.5, + "learning_rate": 5.285977270985475e-06, + "loss": 0.4658, + "step": 3702 + }, + { + "epoch": 0.5, + "learning_rate": 5.28380488639912e-06, + "loss": 0.5057, + "step": 3703 + }, + { + "epoch": 0.5, + "learning_rate": 5.2816324480643655e-06, + "loss": 0.4941, + "step": 3704 + }, + { + "epoch": 0.5, + "learning_rate": 5.279459956392643e-06, + "loss": 0.4813, + "step": 3705 + }, + { + "epoch": 0.5, + "learning_rate": 5.277287411795384e-06, + "loss": 0.5211, + "step": 3706 + }, + { + "epoch": 0.5, + "learning_rate": 5.275114814684041e-06, + "loss": 0.5008, + "step": 3707 + }, + { + "epoch": 0.5, + "learning_rate": 5.27294216547007e-06, + "loss": 0.4693, + "step": 3708 + }, + { + "epoch": 0.5, + "learning_rate": 5.270769464564937e-06, + "loss": 0.4795, + "step": 3709 + }, + { + "epoch": 0.5, + "learning_rate": 5.268596712380119e-06, + "loss": 0.5058, + "step": 3710 + }, + { + "epoch": 0.5, + "learning_rate": 5.266423909327107e-06, + "loss": 0.4913, + "step": 3711 + }, + { + "epoch": 0.5, + "learning_rate": 5.264251055817391e-06, + "loss": 0.4773, + "step": 3712 + }, + { + "epoch": 0.5, + "learning_rate": 5.262078152262481e-06, + "loss": 0.4941, + "step": 3713 + }, + { + "epoch": 0.5, + "learning_rate": 5.259905199073891e-06, + "loss": 0.4756, + "step": 3714 + }, + { + "epoch": 0.5, + "learning_rate": 5.2577321966631455e-06, + "loss": 0.4711, + "step": 3715 + }, + { + "epoch": 0.5, + "learning_rate": 5.255559145441781e-06, + "loss": 0.4795, + "step": 3716 + }, + { + "epoch": 0.5, + "learning_rate": 5.253386045821338e-06, + "loss": 0.4958, + "step": 3717 + }, + { + "epoch": 0.5, + "learning_rate": 5.25121289821337e-06, + "loss": 0.4675, + "step": 3718 + }, + { + "epoch": 0.5, + "learning_rate": 5.24903970302944e-06, + "loss": 0.4868, + "step": 3719 + }, + { + "epoch": 0.5, + "learning_rate": 5.246866460681118e-06, + "loss": 0.495, + "step": 3720 + }, + { + "epoch": 0.5, + "learning_rate": 5.244693171579981e-06, + "loss": 0.4474, + "step": 3721 + }, + { + "epoch": 0.5, + "learning_rate": 5.242519836137621e-06, + "loss": 0.4959, + "step": 3722 + }, + { + "epoch": 0.5, + "learning_rate": 5.240346454765634e-06, + "loss": 0.5095, + "step": 3723 + }, + { + "epoch": 0.5, + "learning_rate": 5.238173027875625e-06, + "loss": 0.5012, + "step": 3724 + }, + { + "epoch": 0.5, + "learning_rate": 5.23599955587921e-06, + "loss": 0.473, + "step": 3725 + }, + { + "epoch": 0.5, + "learning_rate": 5.233826039188009e-06, + "loss": 0.4743, + "step": 3726 + }, + { + "epoch": 0.5, + "learning_rate": 5.2316524782136565e-06, + "loss": 0.4711, + "step": 3727 + }, + { + "epoch": 0.5, + "learning_rate": 5.229478873367794e-06, + "loss": 0.4734, + "step": 3728 + }, + { + "epoch": 0.5, + "learning_rate": 5.227305225062065e-06, + "loss": 0.478, + "step": 3729 + }, + { + "epoch": 0.5, + "learning_rate": 5.225131533708129e-06, + "loss": 0.4707, + "step": 3730 + }, + { + "epoch": 0.5, + "learning_rate": 5.222957799717651e-06, + "loss": 0.4391, + "step": 3731 + }, + { + "epoch": 0.5, + "learning_rate": 5.220784023502302e-06, + "loss": 0.4842, + "step": 3732 + }, + { + "epoch": 0.5, + "learning_rate": 5.218610205473762e-06, + "loss": 0.4644, + "step": 3733 + }, + { + "epoch": 0.5, + "learning_rate": 5.216436346043721e-06, + "loss": 0.4949, + "step": 3734 + }, + { + "epoch": 0.5, + "learning_rate": 5.214262445623879e-06, + "loss": 0.5057, + "step": 3735 + }, + { + "epoch": 0.5, + "learning_rate": 5.212088504625931e-06, + "loss": 0.4828, + "step": 3736 + }, + { + "epoch": 0.5, + "learning_rate": 5.209914523461599e-06, + "loss": 0.4606, + "step": 3737 + }, + { + "epoch": 0.5, + "learning_rate": 5.2077405025425965e-06, + "loss": 0.4894, + "step": 3738 + }, + { + "epoch": 0.5, + "learning_rate": 5.2055664422806515e-06, + "loss": 0.4505, + "step": 3739 + }, + { + "epoch": 0.5, + "learning_rate": 5.203392343087499e-06, + "loss": 0.4836, + "step": 3740 + }, + { + "epoch": 0.5, + "learning_rate": 5.201218205374882e-06, + "loss": 0.4921, + "step": 3741 + }, + { + "epoch": 0.5, + "learning_rate": 5.1990440295545474e-06, + "loss": 0.4984, + "step": 3742 + }, + { + "epoch": 0.5, + "learning_rate": 5.196869816038253e-06, + "loss": 0.4751, + "step": 3743 + }, + { + "epoch": 0.5, + "learning_rate": 5.194695565237762e-06, + "loss": 0.4732, + "step": 3744 + }, + { + "epoch": 0.5, + "learning_rate": 5.192521277564844e-06, + "loss": 0.4886, + "step": 3745 + }, + { + "epoch": 0.5, + "learning_rate": 5.1903469534312775e-06, + "loss": 0.4491, + "step": 3746 + }, + { + "epoch": 0.5, + "learning_rate": 5.188172593248848e-06, + "loss": 0.4936, + "step": 3747 + }, + { + "epoch": 0.5, + "learning_rate": 5.185998197429345e-06, + "loss": 0.4546, + "step": 3748 + }, + { + "epoch": 0.5, + "learning_rate": 5.183823766384566e-06, + "loss": 0.4783, + "step": 3749 + }, + { + "epoch": 0.5, + "learning_rate": 5.181649300526319e-06, + "loss": 0.5045, + "step": 3750 + }, + { + "epoch": 0.5, + "learning_rate": 5.1794748002664115e-06, + "loss": 0.523, + "step": 3751 + }, + { + "epoch": 0.5, + "learning_rate": 5.177300266016665e-06, + "loss": 0.5299, + "step": 3752 + }, + { + "epoch": 0.5, + "learning_rate": 5.1751256981889e-06, + "loss": 0.4975, + "step": 3753 + }, + { + "epoch": 0.5, + "learning_rate": 5.172951097194948e-06, + "loss": 0.5009, + "step": 3754 + }, + { + "epoch": 0.5, + "learning_rate": 5.1707764634466485e-06, + "loss": 0.4941, + "step": 3755 + }, + { + "epoch": 0.5, + "learning_rate": 5.168601797355842e-06, + "loss": 0.4708, + "step": 3756 + }, + { + "epoch": 0.5, + "learning_rate": 5.166427099334378e-06, + "loss": 0.5043, + "step": 3757 + }, + { + "epoch": 0.5, + "learning_rate": 5.164252369794114e-06, + "loss": 0.4654, + "step": 3758 + }, + { + "epoch": 0.51, + "learning_rate": 5.162077609146907e-06, + "loss": 0.4886, + "step": 3759 + }, + { + "epoch": 0.51, + "learning_rate": 5.159902817804627e-06, + "loss": 0.4874, + "step": 3760 + }, + { + "epoch": 0.51, + "learning_rate": 5.157727996179148e-06, + "loss": 0.4863, + "step": 3761 + }, + { + "epoch": 0.51, + "learning_rate": 5.155553144682347e-06, + "loss": 0.5069, + "step": 3762 + }, + { + "epoch": 0.51, + "learning_rate": 5.153378263726107e-06, + "loss": 0.4804, + "step": 3763 + }, + { + "epoch": 0.51, + "learning_rate": 5.1512033537223214e-06, + "loss": 0.4594, + "step": 3764 + }, + { + "epoch": 0.51, + "learning_rate": 5.149028415082883e-06, + "loss": 0.4774, + "step": 3765 + }, + { + "epoch": 0.51, + "learning_rate": 5.146853448219692e-06, + "loss": 0.4542, + "step": 3766 + }, + { + "epoch": 0.51, + "learning_rate": 5.144678453544657e-06, + "loss": 0.4969, + "step": 3767 + }, + { + "epoch": 0.51, + "learning_rate": 5.142503431469689e-06, + "loss": 0.4687, + "step": 3768 + }, + { + "epoch": 0.51, + "learning_rate": 5.140328382406701e-06, + "loss": 0.4825, + "step": 3769 + }, + { + "epoch": 0.51, + "learning_rate": 5.138153306767619e-06, + "loss": 0.4994, + "step": 3770 + }, + { + "epoch": 0.51, + "learning_rate": 5.1359782049643705e-06, + "loss": 0.4874, + "step": 3771 + }, + { + "epoch": 0.51, + "learning_rate": 5.133803077408881e-06, + "loss": 0.4694, + "step": 3772 + }, + { + "epoch": 0.51, + "learning_rate": 5.131627924513094e-06, + "loss": 0.4727, + "step": 3773 + }, + { + "epoch": 0.51, + "learning_rate": 5.129452746688949e-06, + "loss": 0.4867, + "step": 3774 + }, + { + "epoch": 0.51, + "learning_rate": 5.127277544348388e-06, + "loss": 0.4683, + "step": 3775 + }, + { + "epoch": 0.51, + "learning_rate": 5.1251023179033675e-06, + "loss": 0.4685, + "step": 3776 + }, + { + "epoch": 0.51, + "learning_rate": 5.12292706776584e-06, + "loss": 0.5251, + "step": 3777 + }, + { + "epoch": 0.51, + "learning_rate": 5.120751794347766e-06, + "loss": 0.5063, + "step": 3778 + }, + { + "epoch": 0.51, + "learning_rate": 5.118576498061109e-06, + "loss": 0.479, + "step": 3779 + }, + { + "epoch": 0.51, + "learning_rate": 5.116401179317838e-06, + "loss": 0.4959, + "step": 3780 + }, + { + "epoch": 0.51, + "learning_rate": 5.114225838529925e-06, + "loss": 0.45, + "step": 3781 + }, + { + "epoch": 0.51, + "learning_rate": 5.112050476109347e-06, + "loss": 0.5039, + "step": 3782 + }, + { + "epoch": 0.51, + "learning_rate": 5.109875092468088e-06, + "loss": 0.4986, + "step": 3783 + }, + { + "epoch": 0.51, + "learning_rate": 5.10769968801813e-06, + "loss": 0.5098, + "step": 3784 + }, + { + "epoch": 0.51, + "learning_rate": 5.105524263171463e-06, + "loss": 0.4862, + "step": 3785 + }, + { + "epoch": 0.51, + "learning_rate": 5.10334881834008e-06, + "loss": 0.4684, + "step": 3786 + }, + { + "epoch": 0.51, + "learning_rate": 5.101173353935978e-06, + "loss": 0.4819, + "step": 3787 + }, + { + "epoch": 0.51, + "learning_rate": 5.098997870371155e-06, + "loss": 0.4704, + "step": 3788 + }, + { + "epoch": 0.51, + "learning_rate": 5.09682236805762e-06, + "loss": 0.4573, + "step": 3789 + }, + { + "epoch": 0.51, + "learning_rate": 5.094646847407375e-06, + "loss": 0.4939, + "step": 3790 + }, + { + "epoch": 0.51, + "learning_rate": 5.0924713088324365e-06, + "loss": 0.4885, + "step": 3791 + }, + { + "epoch": 0.51, + "learning_rate": 5.090295752744813e-06, + "loss": 0.5, + "step": 3792 + }, + { + "epoch": 0.51, + "learning_rate": 5.088120179556526e-06, + "loss": 0.4625, + "step": 3793 + }, + { + "epoch": 0.51, + "learning_rate": 5.085944589679598e-06, + "loss": 0.4647, + "step": 3794 + }, + { + "epoch": 0.51, + "learning_rate": 5.083768983526048e-06, + "loss": 0.4749, + "step": 3795 + }, + { + "epoch": 0.51, + "learning_rate": 5.081593361507909e-06, + "loss": 0.5125, + "step": 3796 + }, + { + "epoch": 0.51, + "learning_rate": 5.079417724037208e-06, + "loss": 0.5011, + "step": 3797 + }, + { + "epoch": 0.51, + "learning_rate": 5.077242071525977e-06, + "loss": 0.4575, + "step": 3798 + }, + { + "epoch": 0.51, + "learning_rate": 5.075066404386254e-06, + "loss": 0.4982, + "step": 3799 + }, + { + "epoch": 0.51, + "learning_rate": 5.0728907230300795e-06, + "loss": 0.4951, + "step": 3800 + }, + { + "epoch": 0.51, + "learning_rate": 5.07071502786949e-06, + "loss": 0.5007, + "step": 3801 + }, + { + "epoch": 0.51, + "learning_rate": 5.068539319316534e-06, + "loss": 0.4645, + "step": 3802 + }, + { + "epoch": 0.51, + "learning_rate": 5.0663635977832584e-06, + "loss": 0.4919, + "step": 3803 + }, + { + "epoch": 0.51, + "learning_rate": 5.06418786368171e-06, + "loss": 0.4849, + "step": 3804 + }, + { + "epoch": 0.51, + "learning_rate": 5.062012117423938e-06, + "loss": 0.4758, + "step": 3805 + }, + { + "epoch": 0.51, + "learning_rate": 5.0598363594220025e-06, + "loss": 0.5098, + "step": 3806 + }, + { + "epoch": 0.51, + "learning_rate": 5.057660590087955e-06, + "loss": 0.493, + "step": 3807 + }, + { + "epoch": 0.51, + "learning_rate": 5.0554848098338535e-06, + "loss": 0.4805, + "step": 3808 + }, + { + "epoch": 0.51, + "learning_rate": 5.053309019071761e-06, + "loss": 0.4851, + "step": 3809 + }, + { + "epoch": 0.51, + "learning_rate": 5.0511332182137376e-06, + "loss": 0.5035, + "step": 3810 + }, + { + "epoch": 0.51, + "learning_rate": 5.0489574076718475e-06, + "loss": 0.4951, + "step": 3811 + }, + { + "epoch": 0.51, + "learning_rate": 5.046781587858157e-06, + "loss": 0.4816, + "step": 3812 + }, + { + "epoch": 0.51, + "learning_rate": 5.0446057591847355e-06, + "loss": 0.4822, + "step": 3813 + }, + { + "epoch": 0.51, + "learning_rate": 5.0424299220636496e-06, + "loss": 0.4929, + "step": 3814 + }, + { + "epoch": 0.51, + "learning_rate": 5.04025407690697e-06, + "loss": 0.4865, + "step": 3815 + }, + { + "epoch": 0.51, + "learning_rate": 5.038078224126774e-06, + "loss": 0.485, + "step": 3816 + }, + { + "epoch": 0.51, + "learning_rate": 5.03590236413513e-06, + "loss": 0.493, + "step": 3817 + }, + { + "epoch": 0.51, + "learning_rate": 5.033726497344116e-06, + "loss": 0.4666, + "step": 3818 + }, + { + "epoch": 0.51, + "learning_rate": 5.031550624165808e-06, + "loss": 0.4738, + "step": 3819 + }, + { + "epoch": 0.51, + "learning_rate": 5.029374745012284e-06, + "loss": 0.4924, + "step": 3820 + }, + { + "epoch": 0.51, + "learning_rate": 5.027198860295623e-06, + "loss": 0.4741, + "step": 3821 + }, + { + "epoch": 0.51, + "learning_rate": 5.025022970427906e-06, + "loss": 0.4711, + "step": 3822 + }, + { + "epoch": 0.51, + "learning_rate": 5.022847075821212e-06, + "loss": 0.4915, + "step": 3823 + }, + { + "epoch": 0.51, + "learning_rate": 5.020671176887624e-06, + "loss": 0.4485, + "step": 3824 + }, + { + "epoch": 0.51, + "learning_rate": 5.018495274039224e-06, + "loss": 0.4551, + "step": 3825 + }, + { + "epoch": 0.51, + "learning_rate": 5.016319367688096e-06, + "loss": 0.4883, + "step": 3826 + }, + { + "epoch": 0.51, + "learning_rate": 5.014143458246325e-06, + "loss": 0.4564, + "step": 3827 + }, + { + "epoch": 0.51, + "learning_rate": 5.011967546125993e-06, + "loss": 0.5212, + "step": 3828 + }, + { + "epoch": 0.51, + "learning_rate": 5.009791631739188e-06, + "loss": 0.4626, + "step": 3829 + }, + { + "epoch": 0.51, + "learning_rate": 5.007615715497996e-06, + "loss": 0.4617, + "step": 3830 + }, + { + "epoch": 0.51, + "learning_rate": 5.005439797814498e-06, + "loss": 0.4849, + "step": 3831 + }, + { + "epoch": 0.51, + "learning_rate": 5.003263879100786e-06, + "loss": 0.4792, + "step": 3832 + }, + { + "epoch": 0.51, + "learning_rate": 5.001087959768944e-06, + "loss": 0.4547, + "step": 3833 + }, + { + "epoch": 0.52, + "learning_rate": 4.998912040231057e-06, + "loss": 0.4875, + "step": 3834 + }, + { + "epoch": 0.52, + "learning_rate": 4.996736120899216e-06, + "loss": 0.4694, + "step": 3835 + }, + { + "epoch": 0.52, + "learning_rate": 4.9945602021855034e-06, + "loss": 0.4896, + "step": 3836 + }, + { + "epoch": 0.52, + "learning_rate": 4.992384284502007e-06, + "loss": 0.485, + "step": 3837 + }, + { + "epoch": 0.52, + "learning_rate": 4.990208368260813e-06, + "loss": 0.5023, + "step": 3838 + }, + { + "epoch": 0.52, + "learning_rate": 4.988032453874008e-06, + "loss": 0.4978, + "step": 3839 + }, + { + "epoch": 0.52, + "learning_rate": 4.985856541753676e-06, + "loss": 0.5018, + "step": 3840 + }, + { + "epoch": 0.52, + "learning_rate": 4.983680632311905e-06, + "loss": 0.4794, + "step": 3841 + }, + { + "epoch": 0.52, + "learning_rate": 4.9815047259607765e-06, + "loss": 0.4711, + "step": 3842 + }, + { + "epoch": 0.52, + "learning_rate": 4.979328823112377e-06, + "loss": 0.4664, + "step": 3843 + }, + { + "epoch": 0.52, + "learning_rate": 4.9771529241787895e-06, + "loss": 0.5131, + "step": 3844 + }, + { + "epoch": 0.52, + "learning_rate": 4.974977029572095e-06, + "loss": 0.4902, + "step": 3845 + }, + { + "epoch": 0.52, + "learning_rate": 4.9728011397043766e-06, + "loss": 0.5058, + "step": 3846 + }, + { + "epoch": 0.52, + "learning_rate": 4.970625254987717e-06, + "loss": 0.4551, + "step": 3847 + }, + { + "epoch": 0.52, + "learning_rate": 4.9684493758341926e-06, + "loss": 0.4773, + "step": 3848 + }, + { + "epoch": 0.52, + "learning_rate": 4.966273502655885e-06, + "loss": 0.4734, + "step": 3849 + }, + { + "epoch": 0.52, + "learning_rate": 4.964097635864871e-06, + "loss": 0.5109, + "step": 3850 + }, + { + "epoch": 0.52, + "learning_rate": 4.961921775873227e-06, + "loss": 0.4706, + "step": 3851 + }, + { + "epoch": 0.52, + "learning_rate": 4.95974592309303e-06, + "loss": 0.4824, + "step": 3852 + }, + { + "epoch": 0.52, + "learning_rate": 4.957570077936352e-06, + "loss": 0.4695, + "step": 3853 + }, + { + "epoch": 0.52, + "learning_rate": 4.955394240815266e-06, + "loss": 0.477, + "step": 3854 + }, + { + "epoch": 0.52, + "learning_rate": 4.953218412141843e-06, + "loss": 0.4341, + "step": 3855 + }, + { + "epoch": 0.52, + "learning_rate": 4.951042592328153e-06, + "loss": 0.4937, + "step": 3856 + }, + { + "epoch": 0.52, + "learning_rate": 4.948866781786263e-06, + "loss": 0.4921, + "step": 3857 + }, + { + "epoch": 0.52, + "learning_rate": 4.94669098092824e-06, + "loss": 0.4821, + "step": 3858 + }, + { + "epoch": 0.52, + "learning_rate": 4.944515190166147e-06, + "loss": 0.4622, + "step": 3859 + }, + { + "epoch": 0.52, + "learning_rate": 4.942339409912046e-06, + "loss": 0.4909, + "step": 3860 + }, + { + "epoch": 0.52, + "learning_rate": 4.940163640578e-06, + "loss": 0.4543, + "step": 3861 + }, + { + "epoch": 0.52, + "learning_rate": 4.937987882576063e-06, + "loss": 0.4732, + "step": 3862 + }, + { + "epoch": 0.52, + "learning_rate": 4.9358121363182915e-06, + "loss": 0.4497, + "step": 3863 + }, + { + "epoch": 0.52, + "learning_rate": 4.933636402216744e-06, + "loss": 0.4566, + "step": 3864 + }, + { + "epoch": 0.52, + "learning_rate": 4.931460680683467e-06, + "loss": 0.5074, + "step": 3865 + }, + { + "epoch": 0.52, + "learning_rate": 4.92928497213051e-06, + "loss": 0.4965, + "step": 3866 + }, + { + "epoch": 0.52, + "learning_rate": 4.927109276969924e-06, + "loss": 0.4761, + "step": 3867 + }, + { + "epoch": 0.52, + "learning_rate": 4.9249335956137474e-06, + "loss": 0.5075, + "step": 3868 + }, + { + "epoch": 0.52, + "learning_rate": 4.922757928474024e-06, + "loss": 0.4815, + "step": 3869 + }, + { + "epoch": 0.52, + "learning_rate": 4.920582275962795e-06, + "loss": 0.5217, + "step": 3870 + }, + { + "epoch": 0.52, + "learning_rate": 4.918406638492093e-06, + "loss": 0.4896, + "step": 3871 + }, + { + "epoch": 0.52, + "learning_rate": 4.916231016473952e-06, + "loss": 0.4725, + "step": 3872 + }, + { + "epoch": 0.52, + "learning_rate": 4.9140554103204045e-06, + "loss": 0.4951, + "step": 3873 + }, + { + "epoch": 0.52, + "learning_rate": 4.911879820443475e-06, + "loss": 0.4548, + "step": 3874 + }, + { + "epoch": 0.52, + "learning_rate": 4.909704247255187e-06, + "loss": 0.474, + "step": 3875 + }, + { + "epoch": 0.52, + "learning_rate": 4.907528691167567e-06, + "loss": 0.4513, + "step": 3876 + }, + { + "epoch": 0.52, + "learning_rate": 4.9053531525926266e-06, + "loss": 0.449, + "step": 3877 + }, + { + "epoch": 0.52, + "learning_rate": 4.903177631942381e-06, + "loss": 0.4956, + "step": 3878 + }, + { + "epoch": 0.52, + "learning_rate": 4.9010021296288455e-06, + "loss": 0.4919, + "step": 3879 + }, + { + "epoch": 0.52, + "learning_rate": 4.898826646064024e-06, + "loss": 0.4757, + "step": 3880 + }, + { + "epoch": 0.52, + "learning_rate": 4.89665118165992e-06, + "loss": 0.4814, + "step": 3881 + }, + { + "epoch": 0.52, + "learning_rate": 4.894475736828539e-06, + "loss": 0.5274, + "step": 3882 + }, + { + "epoch": 0.52, + "learning_rate": 4.892300311981871e-06, + "loss": 0.4697, + "step": 3883 + }, + { + "epoch": 0.52, + "learning_rate": 4.890124907531913e-06, + "loss": 0.4692, + "step": 3884 + }, + { + "epoch": 0.52, + "learning_rate": 4.887949523890654e-06, + "loss": 0.4728, + "step": 3885 + }, + { + "epoch": 0.52, + "learning_rate": 4.885774161470077e-06, + "loss": 0.4946, + "step": 3886 + }, + { + "epoch": 0.52, + "learning_rate": 4.883598820682165e-06, + "loss": 0.493, + "step": 3887 + }, + { + "epoch": 0.52, + "learning_rate": 4.881423501938894e-06, + "loss": 0.4659, + "step": 3888 + }, + { + "epoch": 0.52, + "learning_rate": 4.879248205652236e-06, + "loss": 0.5037, + "step": 3889 + }, + { + "epoch": 0.52, + "learning_rate": 4.877072932234162e-06, + "loss": 0.4889, + "step": 3890 + }, + { + "epoch": 0.52, + "learning_rate": 4.874897682096634e-06, + "loss": 0.464, + "step": 3891 + }, + { + "epoch": 0.52, + "learning_rate": 4.872722455651612e-06, + "loss": 0.4752, + "step": 3892 + }, + { + "epoch": 0.52, + "learning_rate": 4.870547253311054e-06, + "loss": 0.47, + "step": 3893 + }, + { + "epoch": 0.52, + "learning_rate": 4.868372075486907e-06, + "loss": 0.4797, + "step": 3894 + }, + { + "epoch": 0.52, + "learning_rate": 4.8661969225911195e-06, + "loss": 0.4972, + "step": 3895 + }, + { + "epoch": 0.52, + "learning_rate": 4.864021795035633e-06, + "loss": 0.4247, + "step": 3896 + }, + { + "epoch": 0.52, + "learning_rate": 4.861846693232382e-06, + "loss": 0.4728, + "step": 3897 + }, + { + "epoch": 0.52, + "learning_rate": 4.8596716175933e-06, + "loss": 0.5154, + "step": 3898 + }, + { + "epoch": 0.52, + "learning_rate": 4.8574965685303145e-06, + "loss": 0.4751, + "step": 3899 + }, + { + "epoch": 0.52, + "learning_rate": 4.8553215464553445e-06, + "loss": 0.4571, + "step": 3900 + }, + { + "epoch": 0.52, + "learning_rate": 4.853146551780309e-06, + "loss": 0.4911, + "step": 3901 + }, + { + "epoch": 0.52, + "learning_rate": 4.85097158491712e-06, + "loss": 0.4926, + "step": 3902 + }, + { + "epoch": 0.52, + "learning_rate": 4.84879664627768e-06, + "loss": 0.4832, + "step": 3903 + }, + { + "epoch": 0.52, + "learning_rate": 4.846621736273894e-06, + "loss": 0.4798, + "step": 3904 + }, + { + "epoch": 0.52, + "learning_rate": 4.844446855317655e-06, + "loss": 0.4907, + "step": 3905 + }, + { + "epoch": 0.52, + "learning_rate": 4.842272003820852e-06, + "loss": 0.4731, + "step": 3906 + }, + { + "epoch": 0.52, + "learning_rate": 4.840097182195373e-06, + "loss": 0.4967, + "step": 3907 + }, + { + "epoch": 0.53, + "learning_rate": 4.837922390853094e-06, + "loss": 0.4683, + "step": 3908 + }, + { + "epoch": 0.53, + "learning_rate": 4.835747630205888e-06, + "loss": 0.496, + "step": 3909 + }, + { + "epoch": 0.53, + "learning_rate": 4.833572900665622e-06, + "loss": 0.4844, + "step": 3910 + }, + { + "epoch": 0.53, + "learning_rate": 4.831398202644159e-06, + "loss": 0.4968, + "step": 3911 + }, + { + "epoch": 0.53, + "learning_rate": 4.829223536553353e-06, + "loss": 0.4462, + "step": 3912 + }, + { + "epoch": 0.53, + "learning_rate": 4.827048902805054e-06, + "loss": 0.4973, + "step": 3913 + }, + { + "epoch": 0.53, + "learning_rate": 4.824874301811102e-06, + "loss": 0.4961, + "step": 3914 + }, + { + "epoch": 0.53, + "learning_rate": 4.822699733983337e-06, + "loss": 0.4856, + "step": 3915 + }, + { + "epoch": 0.53, + "learning_rate": 4.820525199733591e-06, + "loss": 0.4429, + "step": 3916 + }, + { + "epoch": 0.53, + "learning_rate": 4.818350699473682e-06, + "loss": 0.5009, + "step": 3917 + }, + { + "epoch": 0.53, + "learning_rate": 4.816176233615434e-06, + "loss": 0.4902, + "step": 3918 + }, + { + "epoch": 0.53, + "learning_rate": 4.814001802570658e-06, + "loss": 0.4933, + "step": 3919 + }, + { + "epoch": 0.53, + "learning_rate": 4.811827406751153e-06, + "loss": 0.4315, + "step": 3920 + }, + { + "epoch": 0.53, + "learning_rate": 4.809653046568723e-06, + "loss": 0.4826, + "step": 3921 + }, + { + "epoch": 0.53, + "learning_rate": 4.807478722435159e-06, + "loss": 0.4954, + "step": 3922 + }, + { + "epoch": 0.53, + "learning_rate": 4.80530443476224e-06, + "loss": 0.5198, + "step": 3923 + }, + { + "epoch": 0.53, + "learning_rate": 4.803130183961748e-06, + "loss": 0.4813, + "step": 3924 + }, + { + "epoch": 0.53, + "learning_rate": 4.800955970445456e-06, + "loss": 0.4942, + "step": 3925 + }, + { + "epoch": 0.53, + "learning_rate": 4.798781794625119e-06, + "loss": 0.454, + "step": 3926 + }, + { + "epoch": 0.53, + "learning_rate": 4.796607656912501e-06, + "loss": 0.4083, + "step": 3927 + }, + { + "epoch": 0.53, + "learning_rate": 4.794433557719351e-06, + "loss": 0.4857, + "step": 3928 + }, + { + "epoch": 0.53, + "learning_rate": 4.792259497457404e-06, + "loss": 0.4899, + "step": 3929 + }, + { + "epoch": 0.53, + "learning_rate": 4.790085476538402e-06, + "loss": 0.4789, + "step": 3930 + }, + { + "epoch": 0.53, + "learning_rate": 4.7879114953740695e-06, + "loss": 0.48, + "step": 3931 + }, + { + "epoch": 0.53, + "learning_rate": 4.785737554376123e-06, + "loss": 0.4885, + "step": 3932 + }, + { + "epoch": 0.53, + "learning_rate": 4.783563653956278e-06, + "loss": 0.4498, + "step": 3933 + }, + { + "epoch": 0.53, + "learning_rate": 4.78138979452624e-06, + "loss": 0.4843, + "step": 3934 + }, + { + "epoch": 0.53, + "learning_rate": 4.779215976497699e-06, + "loss": 0.4881, + "step": 3935 + }, + { + "epoch": 0.53, + "learning_rate": 4.77704220028235e-06, + "loss": 0.5043, + "step": 3936 + }, + { + "epoch": 0.53, + "learning_rate": 4.774868466291873e-06, + "loss": 0.4907, + "step": 3937 + }, + { + "epoch": 0.53, + "learning_rate": 4.7726947749379365e-06, + "loss": 0.5072, + "step": 3938 + }, + { + "epoch": 0.53, + "learning_rate": 4.7705211266322085e-06, + "loss": 0.4949, + "step": 3939 + }, + { + "epoch": 0.53, + "learning_rate": 4.768347521786344e-06, + "loss": 0.4834, + "step": 3940 + }, + { + "epoch": 0.53, + "learning_rate": 4.766173960811993e-06, + "loss": 0.4948, + "step": 3941 + }, + { + "epoch": 0.53, + "learning_rate": 4.764000444120794e-06, + "loss": 0.4981, + "step": 3942 + }, + { + "epoch": 0.53, + "learning_rate": 4.761826972124377e-06, + "loss": 0.4658, + "step": 3943 + }, + { + "epoch": 0.53, + "learning_rate": 4.759653545234368e-06, + "loss": 0.4772, + "step": 3944 + }, + { + "epoch": 0.53, + "learning_rate": 4.757480163862381e-06, + "loss": 0.4906, + "step": 3945 + }, + { + "epoch": 0.53, + "learning_rate": 4.75530682842002e-06, + "loss": 0.4653, + "step": 3946 + }, + { + "epoch": 0.53, + "learning_rate": 4.753133539318883e-06, + "loss": 0.4905, + "step": 3947 + }, + { + "epoch": 0.53, + "learning_rate": 4.7509602969705616e-06, + "loss": 0.5446, + "step": 3948 + }, + { + "epoch": 0.53, + "learning_rate": 4.748787101786631e-06, + "loss": 0.4651, + "step": 3949 + }, + { + "epoch": 0.53, + "learning_rate": 4.746613954178663e-06, + "loss": 0.4563, + "step": 3950 + }, + { + "epoch": 0.53, + "learning_rate": 4.744440854558221e-06, + "loss": 0.4805, + "step": 3951 + }, + { + "epoch": 0.53, + "learning_rate": 4.742267803336855e-06, + "loss": 0.4946, + "step": 3952 + }, + { + "epoch": 0.53, + "learning_rate": 4.740094800926111e-06, + "loss": 0.485, + "step": 3953 + }, + { + "epoch": 0.53, + "learning_rate": 4.737921847737521e-06, + "loss": 0.4738, + "step": 3954 + }, + { + "epoch": 0.53, + "learning_rate": 4.735748944182611e-06, + "loss": 0.4521, + "step": 3955 + }, + { + "epoch": 0.53, + "learning_rate": 4.733576090672895e-06, + "loss": 0.4761, + "step": 3956 + }, + { + "epoch": 0.53, + "learning_rate": 4.7314032876198815e-06, + "loss": 0.485, + "step": 3957 + }, + { + "epoch": 0.53, + "learning_rate": 4.729230535435064e-06, + "loss": 0.4758, + "step": 3958 + }, + { + "epoch": 0.53, + "learning_rate": 4.727057834529931e-06, + "loss": 0.4682, + "step": 3959 + }, + { + "epoch": 0.53, + "learning_rate": 4.7248851853159605e-06, + "loss": 0.4717, + "step": 3960 + }, + { + "epoch": 0.53, + "learning_rate": 4.722712588204617e-06, + "loss": 0.4659, + "step": 3961 + }, + { + "epoch": 0.53, + "learning_rate": 4.72054004360736e-06, + "loss": 0.4792, + "step": 3962 + }, + { + "epoch": 0.53, + "learning_rate": 4.718367551935635e-06, + "loss": 0.5004, + "step": 3963 + }, + { + "epoch": 0.53, + "learning_rate": 4.716195113600881e-06, + "loss": 0.4493, + "step": 3964 + }, + { + "epoch": 0.53, + "learning_rate": 4.7140227290145265e-06, + "loss": 0.4822, + "step": 3965 + }, + { + "epoch": 0.53, + "learning_rate": 4.711850398587985e-06, + "loss": 0.4554, + "step": 3966 + }, + { + "epoch": 0.53, + "learning_rate": 4.709678122732666e-06, + "loss": 0.4635, + "step": 3967 + }, + { + "epoch": 0.53, + "learning_rate": 4.707505901859966e-06, + "loss": 0.4637, + "step": 3968 + }, + { + "epoch": 0.53, + "learning_rate": 4.70533373638127e-06, + "loss": 0.5122, + "step": 3969 + }, + { + "epoch": 0.53, + "learning_rate": 4.703161626707953e-06, + "loss": 0.4653, + "step": 3970 + }, + { + "epoch": 0.53, + "learning_rate": 4.700989573251384e-06, + "loss": 0.498, + "step": 3971 + }, + { + "epoch": 0.53, + "learning_rate": 4.6988175764229126e-06, + "loss": 0.4954, + "step": 3972 + }, + { + "epoch": 0.53, + "learning_rate": 4.696645636633885e-06, + "loss": 0.4946, + "step": 3973 + }, + { + "epoch": 0.53, + "learning_rate": 4.694473754295634e-06, + "loss": 0.4536, + "step": 3974 + }, + { + "epoch": 0.53, + "learning_rate": 4.69230192981948e-06, + "loss": 0.4853, + "step": 3975 + }, + { + "epoch": 0.53, + "learning_rate": 4.690130163616737e-06, + "loss": 0.4805, + "step": 3976 + }, + { + "epoch": 0.53, + "learning_rate": 4.687958456098703e-06, + "loss": 0.476, + "step": 3977 + }, + { + "epoch": 0.53, + "learning_rate": 4.685786807676667e-06, + "loss": 0.4896, + "step": 3978 + }, + { + "epoch": 0.53, + "learning_rate": 4.683615218761906e-06, + "loss": 0.487, + "step": 3979 + }, + { + "epoch": 0.53, + "learning_rate": 4.681443689765688e-06, + "loss": 0.4929, + "step": 3980 + }, + { + "epoch": 0.53, + "learning_rate": 4.679272221099268e-06, + "loss": 0.499, + "step": 3981 + }, + { + "epoch": 0.53, + "learning_rate": 4.677100813173888e-06, + "loss": 0.4825, + "step": 3982 + }, + { + "epoch": 0.54, + "learning_rate": 4.674929466400783e-06, + "loss": 0.4628, + "step": 3983 + }, + { + "epoch": 0.54, + "learning_rate": 4.6727581811911705e-06, + "loss": 0.4786, + "step": 3984 + }, + { + "epoch": 0.54, + "learning_rate": 4.670586957956261e-06, + "loss": 0.4897, + "step": 3985 + }, + { + "epoch": 0.54, + "learning_rate": 4.668415797107252e-06, + "loss": 0.5053, + "step": 3986 + }, + { + "epoch": 0.54, + "learning_rate": 4.666244699055327e-06, + "loss": 0.4901, + "step": 3987 + }, + { + "epoch": 0.54, + "learning_rate": 4.664073664211664e-06, + "loss": 0.4747, + "step": 3988 + }, + { + "epoch": 0.54, + "learning_rate": 4.661902692987418e-06, + "loss": 0.4584, + "step": 3989 + }, + { + "epoch": 0.54, + "learning_rate": 4.659731785793743e-06, + "loss": 0.4897, + "step": 3990 + }, + { + "epoch": 0.54, + "learning_rate": 4.657560943041776e-06, + "loss": 0.4737, + "step": 3991 + }, + { + "epoch": 0.54, + "learning_rate": 4.65539016514264e-06, + "loss": 0.4707, + "step": 3992 + }, + { + "epoch": 0.54, + "learning_rate": 4.653219452507448e-06, + "loss": 0.4877, + "step": 3993 + }, + { + "epoch": 0.54, + "learning_rate": 4.651048805547304e-06, + "loss": 0.4871, + "step": 3994 + }, + { + "epoch": 0.54, + "learning_rate": 4.648878224673292e-06, + "loss": 0.4692, + "step": 3995 + }, + { + "epoch": 0.54, + "learning_rate": 4.646707710296489e-06, + "loss": 0.4973, + "step": 3996 + }, + { + "epoch": 0.54, + "learning_rate": 4.64453726282796e-06, + "loss": 0.4944, + "step": 3997 + }, + { + "epoch": 0.54, + "learning_rate": 4.642366882678752e-06, + "loss": 0.4687, + "step": 3998 + }, + { + "epoch": 0.54, + "learning_rate": 4.640196570259903e-06, + "loss": 0.4867, + "step": 3999 + }, + { + "epoch": 0.54, + "learning_rate": 4.638026325982441e-06, + "loss": 0.493, + "step": 4000 + }, + { + "epoch": 0.54, + "learning_rate": 4.635856150257374e-06, + "loss": 0.4535, + "step": 4001 + }, + { + "epoch": 0.54, + "learning_rate": 4.6336860434957e-06, + "loss": 0.4563, + "step": 4002 + }, + { + "epoch": 0.54, + "learning_rate": 4.631516006108411e-06, + "loss": 0.5008, + "step": 4003 + }, + { + "epoch": 0.54, + "learning_rate": 4.629346038506473e-06, + "loss": 0.4901, + "step": 4004 + }, + { + "epoch": 0.54, + "learning_rate": 4.627176141100847e-06, + "loss": 0.4863, + "step": 4005 + }, + { + "epoch": 0.54, + "learning_rate": 4.6250063143024835e-06, + "loss": 0.4513, + "step": 4006 + }, + { + "epoch": 0.54, + "learning_rate": 4.622836558522309e-06, + "loss": 0.4644, + "step": 4007 + }, + { + "epoch": 0.54, + "learning_rate": 4.620666874171244e-06, + "loss": 0.4928, + "step": 4008 + }, + { + "epoch": 0.54, + "learning_rate": 4.6184972616602e-06, + "loss": 0.4608, + "step": 4009 + }, + { + "epoch": 0.54, + "learning_rate": 4.616327721400062e-06, + "loss": 0.4366, + "step": 4010 + }, + { + "epoch": 0.54, + "learning_rate": 4.614158253801711e-06, + "loss": 0.4814, + "step": 4011 + }, + { + "epoch": 0.54, + "learning_rate": 4.6119888592760146e-06, + "loss": 0.4752, + "step": 4012 + }, + { + "epoch": 0.54, + "learning_rate": 4.609819538233818e-06, + "loss": 0.4374, + "step": 4013 + }, + { + "epoch": 0.54, + "learning_rate": 4.607650291085964e-06, + "loss": 0.51, + "step": 4014 + }, + { + "epoch": 0.54, + "learning_rate": 4.605481118243271e-06, + "loss": 0.482, + "step": 4015 + }, + { + "epoch": 0.54, + "learning_rate": 4.60331202011655e-06, + "loss": 0.4734, + "step": 4016 + }, + { + "epoch": 0.54, + "learning_rate": 4.601142997116595e-06, + "loss": 0.4749, + "step": 4017 + }, + { + "epoch": 0.54, + "learning_rate": 4.598974049654187e-06, + "loss": 0.4664, + "step": 4018 + }, + { + "epoch": 0.54, + "learning_rate": 4.596805178140091e-06, + "loss": 0.4596, + "step": 4019 + }, + { + "epoch": 0.54, + "learning_rate": 4.594636382985061e-06, + "loss": 0.4687, + "step": 4020 + }, + { + "epoch": 0.54, + "learning_rate": 4.592467664599833e-06, + "loss": 0.4633, + "step": 4021 + }, + { + "epoch": 0.54, + "learning_rate": 4.59029902339513e-06, + "loss": 0.468, + "step": 4022 + }, + { + "epoch": 0.54, + "learning_rate": 4.5881304597816604e-06, + "loss": 0.4822, + "step": 4023 + }, + { + "epoch": 0.54, + "learning_rate": 4.5859619741701165e-06, + "loss": 0.4874, + "step": 4024 + }, + { + "epoch": 0.54, + "learning_rate": 4.583793566971179e-06, + "loss": 0.5059, + "step": 4025 + }, + { + "epoch": 0.54, + "learning_rate": 4.5816252385955105e-06, + "loss": 0.4557, + "step": 4026 + }, + { + "epoch": 0.54, + "learning_rate": 4.5794569894537595e-06, + "loss": 0.5076, + "step": 4027 + }, + { + "epoch": 0.54, + "learning_rate": 4.577288819956561e-06, + "loss": 0.4605, + "step": 4028 + }, + { + "epoch": 0.54, + "learning_rate": 4.575120730514534e-06, + "loss": 0.484, + "step": 4029 + }, + { + "epoch": 0.54, + "learning_rate": 4.572952721538281e-06, + "loss": 0.4722, + "step": 4030 + }, + { + "epoch": 0.54, + "learning_rate": 4.57078479343839e-06, + "loss": 0.4883, + "step": 4031 + }, + { + "epoch": 0.54, + "learning_rate": 4.568616946625437e-06, + "loss": 0.4777, + "step": 4032 + }, + { + "epoch": 0.54, + "learning_rate": 4.566449181509978e-06, + "loss": 0.5003, + "step": 4033 + }, + { + "epoch": 0.54, + "learning_rate": 4.564281498502554e-06, + "loss": 0.432, + "step": 4034 + }, + { + "epoch": 0.54, + "learning_rate": 4.562113898013695e-06, + "loss": 0.4756, + "step": 4035 + }, + { + "epoch": 0.54, + "learning_rate": 4.559946380453908e-06, + "loss": 0.4561, + "step": 4036 + }, + { + "epoch": 0.54, + "learning_rate": 4.557778946233691e-06, + "loss": 0.48, + "step": 4037 + }, + { + "epoch": 0.54, + "learning_rate": 4.555611595763524e-06, + "loss": 0.4806, + "step": 4038 + }, + { + "epoch": 0.54, + "learning_rate": 4.553444329453868e-06, + "loss": 0.4823, + "step": 4039 + }, + { + "epoch": 0.54, + "learning_rate": 4.551277147715175e-06, + "loss": 0.4694, + "step": 4040 + }, + { + "epoch": 0.54, + "learning_rate": 4.549110050957872e-06, + "loss": 0.4493, + "step": 4041 + }, + { + "epoch": 0.54, + "learning_rate": 4.546943039592377e-06, + "loss": 0.4842, + "step": 4042 + }, + { + "epoch": 0.54, + "learning_rate": 4.544776114029093e-06, + "loss": 0.4715, + "step": 4043 + }, + { + "epoch": 0.54, + "learning_rate": 4.542609274678396e-06, + "loss": 0.4687, + "step": 4044 + }, + { + "epoch": 0.54, + "learning_rate": 4.540442521950658e-06, + "loss": 0.5115, + "step": 4045 + }, + { + "epoch": 0.54, + "learning_rate": 4.538275856256231e-06, + "loss": 0.5054, + "step": 4046 + }, + { + "epoch": 0.54, + "learning_rate": 4.536109278005442e-06, + "loss": 0.5047, + "step": 4047 + }, + { + "epoch": 0.54, + "learning_rate": 4.5339427876086146e-06, + "loss": 0.4761, + "step": 4048 + }, + { + "epoch": 0.54, + "learning_rate": 4.53177638547605e-06, + "loss": 0.5004, + "step": 4049 + }, + { + "epoch": 0.54, + "learning_rate": 4.529610072018027e-06, + "loss": 0.4741, + "step": 4050 + }, + { + "epoch": 0.54, + "learning_rate": 4.527443847644818e-06, + "loss": 0.4724, + "step": 4051 + }, + { + "epoch": 0.54, + "learning_rate": 4.5252777127666725e-06, + "loss": 0.4939, + "step": 4052 + }, + { + "epoch": 0.54, + "learning_rate": 4.523111667793821e-06, + "loss": 0.4485, + "step": 4053 + }, + { + "epoch": 0.54, + "learning_rate": 4.520945713136483e-06, + "loss": 0.4768, + "step": 4054 + }, + { + "epoch": 0.54, + "learning_rate": 4.518779849204859e-06, + "loss": 0.4727, + "step": 4055 + }, + { + "epoch": 0.54, + "learning_rate": 4.516614076409126e-06, + "loss": 0.5082, + "step": 4056 + }, + { + "epoch": 0.55, + "learning_rate": 4.514448395159455e-06, + "loss": 0.4786, + "step": 4057 + }, + { + "epoch": 0.55, + "learning_rate": 4.512282805865991e-06, + "loss": 0.5029, + "step": 4058 + }, + { + "epoch": 0.55, + "learning_rate": 4.510117308938861e-06, + "loss": 0.4993, + "step": 4059 + }, + { + "epoch": 0.55, + "learning_rate": 4.5079519047881835e-06, + "loss": 0.445, + "step": 4060 + }, + { + "epoch": 0.55, + "learning_rate": 4.505786593824052e-06, + "loss": 0.4722, + "step": 4061 + }, + { + "epoch": 0.55, + "learning_rate": 4.50362137645654e-06, + "loss": 0.4318, + "step": 4062 + }, + { + "epoch": 0.55, + "learning_rate": 4.501456253095711e-06, + "loss": 0.5144, + "step": 4063 + }, + { + "epoch": 0.55, + "learning_rate": 4.4992912241516085e-06, + "loss": 0.4394, + "step": 4064 + }, + { + "epoch": 0.55, + "learning_rate": 4.4971262900342514e-06, + "loss": 0.4813, + "step": 4065 + }, + { + "epoch": 0.55, + "learning_rate": 4.494961451153652e-06, + "loss": 0.5111, + "step": 4066 + }, + { + "epoch": 0.55, + "learning_rate": 4.492796707919792e-06, + "loss": 0.4839, + "step": 4067 + }, + { + "epoch": 0.55, + "learning_rate": 4.490632060742644e-06, + "loss": 0.4614, + "step": 4068 + }, + { + "epoch": 0.55, + "learning_rate": 4.488467510032163e-06, + "loss": 0.4308, + "step": 4069 + }, + { + "epoch": 0.55, + "learning_rate": 4.4863030561982775e-06, + "loss": 0.4643, + "step": 4070 + }, + { + "epoch": 0.55, + "learning_rate": 4.484138699650905e-06, + "loss": 0.4758, + "step": 4071 + }, + { + "epoch": 0.55, + "learning_rate": 4.481974440799943e-06, + "loss": 0.4668, + "step": 4072 + }, + { + "epoch": 0.55, + "learning_rate": 4.479810280055269e-06, + "loss": 0.4723, + "step": 4073 + }, + { + "epoch": 0.55, + "learning_rate": 4.477646217826741e-06, + "loss": 0.4869, + "step": 4074 + }, + { + "epoch": 0.55, + "learning_rate": 4.475482254524203e-06, + "loss": 0.4715, + "step": 4075 + }, + { + "epoch": 0.55, + "learning_rate": 4.473318390557475e-06, + "loss": 0.4568, + "step": 4076 + }, + { + "epoch": 0.55, + "learning_rate": 4.471154626336361e-06, + "loss": 0.4747, + "step": 4077 + }, + { + "epoch": 0.55, + "learning_rate": 4.4689909622706464e-06, + "loss": 0.4757, + "step": 4078 + }, + { + "epoch": 0.55, + "learning_rate": 4.466827398770096e-06, + "loss": 0.4601, + "step": 4079 + }, + { + "epoch": 0.55, + "learning_rate": 4.464663936244456e-06, + "loss": 0.4626, + "step": 4080 + }, + { + "epoch": 0.55, + "learning_rate": 4.462500575103456e-06, + "loss": 0.4733, + "step": 4081 + }, + { + "epoch": 0.55, + "learning_rate": 4.4603373157568005e-06, + "loss": 0.4969, + "step": 4082 + }, + { + "epoch": 0.55, + "learning_rate": 4.458174158614181e-06, + "loss": 0.4976, + "step": 4083 + }, + { + "epoch": 0.55, + "learning_rate": 4.456011104085267e-06, + "loss": 0.4776, + "step": 4084 + }, + { + "epoch": 0.55, + "learning_rate": 4.4538481525797074e-06, + "loss": 0.4993, + "step": 4085 + }, + { + "epoch": 0.55, + "learning_rate": 4.451685304507134e-06, + "loss": 0.4762, + "step": 4086 + }, + { + "epoch": 0.55, + "learning_rate": 4.4495225602771585e-06, + "loss": 0.4959, + "step": 4087 + }, + { + "epoch": 0.55, + "learning_rate": 4.4473599202993705e-06, + "loss": 0.5135, + "step": 4088 + }, + { + "epoch": 0.55, + "learning_rate": 4.445197384983343e-06, + "loss": 0.5122, + "step": 4089 + }, + { + "epoch": 0.55, + "learning_rate": 4.443034954738627e-06, + "loss": 0.453, + "step": 4090 + }, + { + "epoch": 0.55, + "learning_rate": 4.440872629974754e-06, + "loss": 0.5147, + "step": 4091 + }, + { + "epoch": 0.55, + "learning_rate": 4.438710411101238e-06, + "loss": 0.4984, + "step": 4092 + }, + { + "epoch": 0.55, + "learning_rate": 4.436548298527569e-06, + "loss": 0.5161, + "step": 4093 + }, + { + "epoch": 0.55, + "learning_rate": 4.434386292663218e-06, + "loss": 0.4509, + "step": 4094 + }, + { + "epoch": 0.55, + "learning_rate": 4.43222439391764e-06, + "loss": 0.4702, + "step": 4095 + }, + { + "epoch": 0.55, + "learning_rate": 4.430062602700263e-06, + "loss": 0.4738, + "step": 4096 + }, + { + "epoch": 0.55, + "learning_rate": 4.4279009194204985e-06, + "loss": 0.49, + "step": 4097 + }, + { + "epoch": 0.55, + "learning_rate": 4.425739344487739e-06, + "loss": 0.5122, + "step": 4098 + }, + { + "epoch": 0.55, + "learning_rate": 4.423577878311351e-06, + "loss": 0.4906, + "step": 4099 + }, + { + "epoch": 0.55, + "learning_rate": 4.421416521300687e-06, + "loss": 0.4637, + "step": 4100 + }, + { + "epoch": 0.55, + "learning_rate": 4.419255273865075e-06, + "loss": 0.4668, + "step": 4101 + }, + { + "epoch": 0.55, + "learning_rate": 4.417094136413822e-06, + "loss": 0.4859, + "step": 4102 + }, + { + "epoch": 0.55, + "learning_rate": 4.414933109356214e-06, + "loss": 0.4658, + "step": 4103 + }, + { + "epoch": 0.55, + "learning_rate": 4.412772193101521e-06, + "loss": 0.4839, + "step": 4104 + }, + { + "epoch": 0.55, + "learning_rate": 4.410611388058984e-06, + "loss": 0.4922, + "step": 4105 + }, + { + "epoch": 0.55, + "learning_rate": 4.408450694637829e-06, + "loss": 0.458, + "step": 4106 + }, + { + "epoch": 0.55, + "learning_rate": 4.4062901132472604e-06, + "loss": 0.4926, + "step": 4107 + }, + { + "epoch": 0.55, + "learning_rate": 4.404129644296457e-06, + "loss": 0.4614, + "step": 4108 + }, + { + "epoch": 0.55, + "learning_rate": 4.401969288194581e-06, + "loss": 0.4787, + "step": 4109 + }, + { + "epoch": 0.55, + "learning_rate": 4.399809045350773e-06, + "loss": 0.4815, + "step": 4110 + }, + { + "epoch": 0.55, + "learning_rate": 4.397648916174147e-06, + "loss": 0.4778, + "step": 4111 + }, + { + "epoch": 0.55, + "learning_rate": 4.395488901073802e-06, + "loss": 0.472, + "step": 4112 + }, + { + "epoch": 0.55, + "learning_rate": 4.393329000458812e-06, + "loss": 0.4584, + "step": 4113 + }, + { + "epoch": 0.55, + "learning_rate": 4.391169214738229e-06, + "loss": 0.4487, + "step": 4114 + }, + { + "epoch": 0.55, + "learning_rate": 4.389009544321084e-06, + "loss": 0.475, + "step": 4115 + }, + { + "epoch": 0.55, + "learning_rate": 4.3868499896163885e-06, + "loss": 0.4757, + "step": 4116 + }, + { + "epoch": 0.55, + "learning_rate": 4.3846905510331265e-06, + "loss": 0.4359, + "step": 4117 + }, + { + "epoch": 0.55, + "learning_rate": 4.382531228980268e-06, + "loss": 0.4709, + "step": 4118 + }, + { + "epoch": 0.55, + "learning_rate": 4.3803720238667505e-06, + "loss": 0.5215, + "step": 4119 + }, + { + "epoch": 0.55, + "learning_rate": 4.378212936101498e-06, + "loss": 0.4747, + "step": 4120 + }, + { + "epoch": 0.55, + "learning_rate": 4.376053966093411e-06, + "loss": 0.5014, + "step": 4121 + }, + { + "epoch": 0.55, + "learning_rate": 4.373895114251363e-06, + "loss": 0.4678, + "step": 4122 + }, + { + "epoch": 0.55, + "learning_rate": 4.371736380984209e-06, + "loss": 0.5127, + "step": 4123 + }, + { + "epoch": 0.55, + "learning_rate": 4.369577766700785e-06, + "loss": 0.503, + "step": 4124 + }, + { + "epoch": 0.55, + "learning_rate": 4.367419271809894e-06, + "loss": 0.5063, + "step": 4125 + }, + { + "epoch": 0.55, + "learning_rate": 4.365260896720324e-06, + "loss": 0.4843, + "step": 4126 + }, + { + "epoch": 0.55, + "learning_rate": 4.363102641840844e-06, + "loss": 0.4765, + "step": 4127 + }, + { + "epoch": 0.55, + "learning_rate": 4.3609445075801894e-06, + "loss": 0.5106, + "step": 4128 + }, + { + "epoch": 0.55, + "learning_rate": 4.358786494347079e-06, + "loss": 0.4983, + "step": 4129 + }, + { + "epoch": 0.55, + "learning_rate": 4.356628602550213e-06, + "loss": 0.4365, + "step": 4130 + }, + { + "epoch": 0.56, + "learning_rate": 4.354470832598259e-06, + "loss": 0.4816, + "step": 4131 + }, + { + "epoch": 0.56, + "learning_rate": 4.352313184899867e-06, + "loss": 0.445, + "step": 4132 + }, + { + "epoch": 0.56, + "learning_rate": 4.350155659863667e-06, + "loss": 0.4829, + "step": 4133 + }, + { + "epoch": 0.56, + "learning_rate": 4.347998257898256e-06, + "loss": 0.4588, + "step": 4134 + }, + { + "epoch": 0.56, + "learning_rate": 4.345840979412217e-06, + "loss": 0.5022, + "step": 4135 + }, + { + "epoch": 0.56, + "learning_rate": 4.343683824814109e-06, + "loss": 0.5017, + "step": 4136 + }, + { + "epoch": 0.56, + "learning_rate": 4.341526794512459e-06, + "loss": 0.4832, + "step": 4137 + }, + { + "epoch": 0.56, + "learning_rate": 4.3393698889157785e-06, + "loss": 0.4758, + "step": 4138 + }, + { + "epoch": 0.56, + "learning_rate": 4.337213108432556e-06, + "loss": 0.4975, + "step": 4139 + }, + { + "epoch": 0.56, + "learning_rate": 4.33505645347125e-06, + "loss": 0.4964, + "step": 4140 + }, + { + "epoch": 0.56, + "learning_rate": 4.332899924440298e-06, + "loss": 0.5239, + "step": 4141 + }, + { + "epoch": 0.56, + "learning_rate": 4.3307435217481195e-06, + "loss": 0.4702, + "step": 4142 + }, + { + "epoch": 0.56, + "learning_rate": 4.3285872458031e-06, + "loss": 0.4721, + "step": 4143 + }, + { + "epoch": 0.56, + "learning_rate": 4.326431097013608e-06, + "loss": 0.4714, + "step": 4144 + }, + { + "epoch": 0.56, + "learning_rate": 4.3242750757879835e-06, + "loss": 0.46, + "step": 4145 + }, + { + "epoch": 0.56, + "learning_rate": 4.322119182534547e-06, + "loss": 0.4426, + "step": 4146 + }, + { + "epoch": 0.56, + "learning_rate": 4.319963417661593e-06, + "loss": 0.4965, + "step": 4147 + }, + { + "epoch": 0.56, + "learning_rate": 4.317807781577388e-06, + "loss": 0.487, + "step": 4148 + }, + { + "epoch": 0.56, + "learning_rate": 4.3156522746901806e-06, + "loss": 0.4856, + "step": 4149 + }, + { + "epoch": 0.56, + "learning_rate": 4.313496897408189e-06, + "loss": 0.4929, + "step": 4150 + }, + { + "epoch": 0.56, + "learning_rate": 4.311341650139611e-06, + "loss": 0.4859, + "step": 4151 + }, + { + "epoch": 0.56, + "learning_rate": 4.309186533292617e-06, + "loss": 0.495, + "step": 4152 + }, + { + "epoch": 0.56, + "learning_rate": 4.307031547275356e-06, + "loss": 0.4553, + "step": 4153 + }, + { + "epoch": 0.56, + "learning_rate": 4.304876692495947e-06, + "loss": 0.4702, + "step": 4154 + }, + { + "epoch": 0.56, + "learning_rate": 4.3027219693624885e-06, + "loss": 0.4843, + "step": 4155 + }, + { + "epoch": 0.56, + "learning_rate": 4.300567378283055e-06, + "loss": 0.4456, + "step": 4156 + }, + { + "epoch": 0.56, + "learning_rate": 4.29841291966569e-06, + "loss": 0.4851, + "step": 4157 + }, + { + "epoch": 0.56, + "learning_rate": 4.296258593918419e-06, + "loss": 0.5071, + "step": 4158 + }, + { + "epoch": 0.56, + "learning_rate": 4.294104401449237e-06, + "loss": 0.5006, + "step": 4159 + }, + { + "epoch": 0.56, + "learning_rate": 4.291950342666117e-06, + "loss": 0.4423, + "step": 4160 + }, + { + "epoch": 0.56, + "learning_rate": 4.289796417977004e-06, + "loss": 0.5123, + "step": 4161 + }, + { + "epoch": 0.56, + "learning_rate": 4.287642627789822e-06, + "loss": 0.4582, + "step": 4162 + }, + { + "epoch": 0.56, + "learning_rate": 4.2854889725124635e-06, + "loss": 0.4719, + "step": 4163 + }, + { + "epoch": 0.56, + "learning_rate": 4.2833354525527995e-06, + "loss": 0.4313, + "step": 4164 + }, + { + "epoch": 0.56, + "learning_rate": 4.281182068318675e-06, + "loss": 0.4505, + "step": 4165 + }, + { + "epoch": 0.56, + "learning_rate": 4.2790288202179085e-06, + "loss": 0.4735, + "step": 4166 + }, + { + "epoch": 0.56, + "learning_rate": 4.276875708658294e-06, + "loss": 0.4838, + "step": 4167 + }, + { + "epoch": 0.56, + "learning_rate": 4.274722734047597e-06, + "loss": 0.4746, + "step": 4168 + }, + { + "epoch": 0.56, + "learning_rate": 4.272569896793558e-06, + "loss": 0.5076, + "step": 4169 + }, + { + "epoch": 0.56, + "learning_rate": 4.270417197303895e-06, + "loss": 0.4752, + "step": 4170 + }, + { + "epoch": 0.56, + "learning_rate": 4.268264635986295e-06, + "loss": 0.4792, + "step": 4171 + }, + { + "epoch": 0.56, + "learning_rate": 4.26611221324842e-06, + "loss": 0.4626, + "step": 4172 + }, + { + "epoch": 0.56, + "learning_rate": 4.263959929497911e-06, + "loss": 0.4679, + "step": 4173 + }, + { + "epoch": 0.56, + "learning_rate": 4.261807785142373e-06, + "loss": 0.4807, + "step": 4174 + }, + { + "epoch": 0.56, + "learning_rate": 4.259655780589392e-06, + "loss": 0.499, + "step": 4175 + }, + { + "epoch": 0.56, + "learning_rate": 4.2575039162465295e-06, + "loss": 0.4743, + "step": 4176 + }, + { + "epoch": 0.56, + "learning_rate": 4.2553521925213074e-06, + "loss": 0.4883, + "step": 4177 + }, + { + "epoch": 0.56, + "learning_rate": 4.253200609821238e-06, + "loss": 0.4688, + "step": 4178 + }, + { + "epoch": 0.56, + "learning_rate": 4.251049168553797e-06, + "loss": 0.4874, + "step": 4179 + }, + { + "epoch": 0.56, + "learning_rate": 4.248897869126431e-06, + "loss": 0.4918, + "step": 4180 + }, + { + "epoch": 0.56, + "learning_rate": 4.246746711946569e-06, + "loss": 0.4913, + "step": 4181 + }, + { + "epoch": 0.56, + "learning_rate": 4.244595697421608e-06, + "loss": 0.504, + "step": 4182 + }, + { + "epoch": 0.56, + "learning_rate": 4.242444825958912e-06, + "loss": 0.4861, + "step": 4183 + }, + { + "epoch": 0.56, + "learning_rate": 4.24029409796583e-06, + "loss": 0.4845, + "step": 4184 + }, + { + "epoch": 0.56, + "learning_rate": 4.238143513849678e-06, + "loss": 0.4858, + "step": 4185 + }, + { + "epoch": 0.56, + "learning_rate": 4.235993074017738e-06, + "loss": 0.4715, + "step": 4186 + }, + { + "epoch": 0.56, + "learning_rate": 4.233842778877277e-06, + "loss": 0.4693, + "step": 4187 + }, + { + "epoch": 0.56, + "learning_rate": 4.231692628835529e-06, + "loss": 0.4573, + "step": 4188 + }, + { + "epoch": 0.56, + "learning_rate": 4.229542624299694e-06, + "loss": 0.4776, + "step": 4189 + }, + { + "epoch": 0.56, + "learning_rate": 4.227392765676957e-06, + "loss": 0.4495, + "step": 4190 + }, + { + "epoch": 0.56, + "learning_rate": 4.225243053374469e-06, + "loss": 0.4951, + "step": 4191 + }, + { + "epoch": 0.56, + "learning_rate": 4.223093487799348e-06, + "loss": 0.4845, + "step": 4192 + }, + { + "epoch": 0.56, + "learning_rate": 4.220944069358693e-06, + "loss": 0.5019, + "step": 4193 + }, + { + "epoch": 0.56, + "learning_rate": 4.218794798459575e-06, + "loss": 0.4771, + "step": 4194 + }, + { + "epoch": 0.56, + "learning_rate": 4.2166456755090255e-06, + "loss": 0.4725, + "step": 4195 + }, + { + "epoch": 0.56, + "learning_rate": 4.214496700914065e-06, + "loss": 0.4502, + "step": 4196 + }, + { + "epoch": 0.56, + "learning_rate": 4.2123478750816705e-06, + "loss": 0.4815, + "step": 4197 + }, + { + "epoch": 0.56, + "learning_rate": 4.2101991984188e-06, + "loss": 0.5149, + "step": 4198 + }, + { + "epoch": 0.56, + "learning_rate": 4.208050671332382e-06, + "loss": 0.4584, + "step": 4199 + }, + { + "epoch": 0.56, + "learning_rate": 4.205902294229313e-06, + "loss": 0.4522, + "step": 4200 + }, + { + "epoch": 0.56, + "learning_rate": 4.203754067516464e-06, + "loss": 0.5109, + "step": 4201 + }, + { + "epoch": 0.56, + "learning_rate": 4.201605991600679e-06, + "loss": 0.4741, + "step": 4202 + }, + { + "epoch": 0.56, + "learning_rate": 4.199458066888769e-06, + "loss": 0.4809, + "step": 4203 + }, + { + "epoch": 0.56, + "learning_rate": 4.19731029378752e-06, + "loss": 0.4953, + "step": 4204 + }, + { + "epoch": 0.56, + "learning_rate": 4.195162672703689e-06, + "loss": 0.4739, + "step": 4205 + }, + { + "epoch": 0.57, + "learning_rate": 4.193015204044e-06, + "loss": 0.4836, + "step": 4206 + }, + { + "epoch": 0.57, + "learning_rate": 4.190867888215154e-06, + "loss": 0.5039, + "step": 4207 + }, + { + "epoch": 0.57, + "learning_rate": 4.188720725623822e-06, + "loss": 0.4889, + "step": 4208 + }, + { + "epoch": 0.57, + "learning_rate": 4.18657371667664e-06, + "loss": 0.472, + "step": 4209 + }, + { + "epoch": 0.57, + "learning_rate": 4.184426861780223e-06, + "loss": 0.4291, + "step": 4210 + }, + { + "epoch": 0.57, + "learning_rate": 4.182280161341152e-06, + "loss": 0.4669, + "step": 4211 + }, + { + "epoch": 0.57, + "learning_rate": 4.18013361576598e-06, + "loss": 0.4792, + "step": 4212 + }, + { + "epoch": 0.57, + "learning_rate": 4.17798722546123e-06, + "loss": 0.514, + "step": 4213 + }, + { + "epoch": 0.57, + "learning_rate": 4.175840990833398e-06, + "loss": 0.4793, + "step": 4214 + }, + { + "epoch": 0.57, + "learning_rate": 4.173694912288946e-06, + "loss": 0.4696, + "step": 4215 + }, + { + "epoch": 0.57, + "learning_rate": 4.171548990234311e-06, + "loss": 0.4756, + "step": 4216 + }, + { + "epoch": 0.57, + "learning_rate": 4.1694032250759e-06, + "loss": 0.4819, + "step": 4217 + }, + { + "epoch": 0.57, + "learning_rate": 4.167257617220085e-06, + "loss": 0.4933, + "step": 4218 + }, + { + "epoch": 0.57, + "learning_rate": 4.165112167073215e-06, + "loss": 0.4918, + "step": 4219 + }, + { + "epoch": 0.57, + "learning_rate": 4.1629668750416046e-06, + "loss": 0.4362, + "step": 4220 + }, + { + "epoch": 0.57, + "learning_rate": 4.16082174153154e-06, + "loss": 0.4839, + "step": 4221 + }, + { + "epoch": 0.57, + "learning_rate": 4.1586767669492794e-06, + "loss": 0.4447, + "step": 4222 + }, + { + "epoch": 0.57, + "learning_rate": 4.156531951701046e-06, + "loss": 0.4747, + "step": 4223 + }, + { + "epoch": 0.57, + "learning_rate": 4.154387296193037e-06, + "loss": 0.4545, + "step": 4224 + }, + { + "epoch": 0.57, + "learning_rate": 4.15224280083142e-06, + "loss": 0.4767, + "step": 4225 + }, + { + "epoch": 0.57, + "learning_rate": 4.150098466022327e-06, + "loss": 0.4582, + "step": 4226 + }, + { + "epoch": 0.57, + "learning_rate": 4.147954292171864e-06, + "loss": 0.5026, + "step": 4227 + }, + { + "epoch": 0.57, + "learning_rate": 4.145810279686108e-06, + "loss": 0.4984, + "step": 4228 + }, + { + "epoch": 0.57, + "learning_rate": 4.143666428971098e-06, + "loss": 0.486, + "step": 4229 + }, + { + "epoch": 0.57, + "learning_rate": 4.141522740432852e-06, + "loss": 0.4687, + "step": 4230 + }, + { + "epoch": 0.57, + "learning_rate": 4.1393792144773496e-06, + "loss": 0.496, + "step": 4231 + }, + { + "epoch": 0.57, + "learning_rate": 4.137235851510544e-06, + "loss": 0.4624, + "step": 4232 + }, + { + "epoch": 0.57, + "learning_rate": 4.135092651938354e-06, + "loss": 0.4743, + "step": 4233 + }, + { + "epoch": 0.57, + "learning_rate": 4.132949616166673e-06, + "loss": 0.485, + "step": 4234 + }, + { + "epoch": 0.57, + "learning_rate": 4.130806744601356e-06, + "loss": 0.5068, + "step": 4235 + }, + { + "epoch": 0.57, + "learning_rate": 4.128664037648233e-06, + "loss": 0.4798, + "step": 4236 + }, + { + "epoch": 0.57, + "learning_rate": 4.126521495713103e-06, + "loss": 0.4827, + "step": 4237 + }, + { + "epoch": 0.57, + "learning_rate": 4.124379119201726e-06, + "loss": 0.4723, + "step": 4238 + }, + { + "epoch": 0.57, + "learning_rate": 4.122236908519839e-06, + "loss": 0.4509, + "step": 4239 + }, + { + "epoch": 0.57, + "learning_rate": 4.120094864073146e-06, + "loss": 0.4907, + "step": 4240 + }, + { + "epoch": 0.57, + "learning_rate": 4.117952986267315e-06, + "loss": 0.4719, + "step": 4241 + }, + { + "epoch": 0.57, + "learning_rate": 4.115811275507987e-06, + "loss": 0.4707, + "step": 4242 + }, + { + "epoch": 0.57, + "learning_rate": 4.113669732200772e-06, + "loss": 0.4662, + "step": 4243 + }, + { + "epoch": 0.57, + "learning_rate": 4.111528356751242e-06, + "loss": 0.4992, + "step": 4244 + }, + { + "epoch": 0.57, + "learning_rate": 4.109387149564947e-06, + "loss": 0.4574, + "step": 4245 + }, + { + "epoch": 0.57, + "learning_rate": 4.1072461110473935e-06, + "loss": 0.4787, + "step": 4246 + }, + { + "epoch": 0.57, + "learning_rate": 4.1051052416040655e-06, + "loss": 0.4922, + "step": 4247 + }, + { + "epoch": 0.57, + "learning_rate": 4.102964541640413e-06, + "loss": 0.4597, + "step": 4248 + }, + { + "epoch": 0.57, + "learning_rate": 4.100824011561849e-06, + "loss": 0.4968, + "step": 4249 + }, + { + "epoch": 0.57, + "learning_rate": 4.098683651773759e-06, + "loss": 0.5024, + "step": 4250 + }, + { + "epoch": 0.57, + "learning_rate": 4.096543462681499e-06, + "loss": 0.4733, + "step": 4251 + }, + { + "epoch": 0.57, + "learning_rate": 4.094403444690383e-06, + "loss": 0.4747, + "step": 4252 + }, + { + "epoch": 0.57, + "learning_rate": 4.0922635982057e-06, + "loss": 0.4734, + "step": 4253 + }, + { + "epoch": 0.57, + "learning_rate": 4.090123923632709e-06, + "loss": 0.4944, + "step": 4254 + }, + { + "epoch": 0.57, + "learning_rate": 4.087984421376627e-06, + "loss": 0.4988, + "step": 4255 + }, + { + "epoch": 0.57, + "learning_rate": 4.085845091842644e-06, + "loss": 0.4858, + "step": 4256 + }, + { + "epoch": 0.57, + "learning_rate": 4.0837059354359225e-06, + "loss": 0.48, + "step": 4257 + }, + { + "epoch": 0.57, + "learning_rate": 4.0815669525615816e-06, + "loss": 0.4661, + "step": 4258 + }, + { + "epoch": 0.57, + "learning_rate": 4.079428143624712e-06, + "loss": 0.4754, + "step": 4259 + }, + { + "epoch": 0.57, + "learning_rate": 4.077289509030378e-06, + "loss": 0.4827, + "step": 4260 + }, + { + "epoch": 0.57, + "learning_rate": 4.075151049183599e-06, + "loss": 0.436, + "step": 4261 + }, + { + "epoch": 0.57, + "learning_rate": 4.073012764489368e-06, + "loss": 0.4649, + "step": 4262 + }, + { + "epoch": 0.57, + "learning_rate": 4.070874655352649e-06, + "loss": 0.5109, + "step": 4263 + }, + { + "epoch": 0.57, + "learning_rate": 4.068736722178363e-06, + "loss": 0.4843, + "step": 4264 + }, + { + "epoch": 0.57, + "learning_rate": 4.066598965371402e-06, + "loss": 0.4507, + "step": 4265 + }, + { + "epoch": 0.57, + "learning_rate": 4.06446138533663e-06, + "loss": 0.507, + "step": 4266 + }, + { + "epoch": 0.57, + "learning_rate": 4.062323982478868e-06, + "loss": 0.454, + "step": 4267 + }, + { + "epoch": 0.57, + "learning_rate": 4.060186757202909e-06, + "loss": 0.466, + "step": 4268 + }, + { + "epoch": 0.57, + "learning_rate": 4.0580497099135155e-06, + "loss": 0.457, + "step": 4269 + }, + { + "epoch": 0.57, + "learning_rate": 4.055912841015407e-06, + "loss": 0.4833, + "step": 4270 + }, + { + "epoch": 0.57, + "learning_rate": 4.053776150913279e-06, + "loss": 0.4711, + "step": 4271 + }, + { + "epoch": 0.57, + "learning_rate": 4.051639640011783e-06, + "loss": 0.4662, + "step": 4272 + }, + { + "epoch": 0.57, + "learning_rate": 4.049503308715547e-06, + "loss": 0.4995, + "step": 4273 + }, + { + "epoch": 0.57, + "learning_rate": 4.047367157429159e-06, + "loss": 0.4874, + "step": 4274 + }, + { + "epoch": 0.57, + "learning_rate": 4.045231186557173e-06, + "loss": 0.4645, + "step": 4275 + }, + { + "epoch": 0.57, + "learning_rate": 4.043095396504111e-06, + "loss": 0.4767, + "step": 4276 + }, + { + "epoch": 0.57, + "learning_rate": 4.04095978767446e-06, + "loss": 0.5075, + "step": 4277 + }, + { + "epoch": 0.57, + "learning_rate": 4.03882436047267e-06, + "loss": 0.4857, + "step": 4278 + }, + { + "epoch": 0.57, + "learning_rate": 4.036689115303162e-06, + "loss": 0.4487, + "step": 4279 + }, + { + "epoch": 0.58, + "learning_rate": 4.034554052570318e-06, + "loss": 0.4628, + "step": 4280 + }, + { + "epoch": 0.58, + "learning_rate": 4.032419172678486e-06, + "loss": 0.4858, + "step": 4281 + }, + { + "epoch": 0.58, + "learning_rate": 4.030284476031982e-06, + "loss": 0.5062, + "step": 4282 + }, + { + "epoch": 0.58, + "learning_rate": 4.0281499630350855e-06, + "loss": 0.4564, + "step": 4283 + }, + { + "epoch": 0.58, + "learning_rate": 4.026015634092039e-06, + "loss": 0.497, + "step": 4284 + }, + { + "epoch": 0.58, + "learning_rate": 4.023881489607056e-06, + "loss": 0.5275, + "step": 4285 + }, + { + "epoch": 0.58, + "learning_rate": 4.021747529984309e-06, + "loss": 0.4763, + "step": 4286 + }, + { + "epoch": 0.58, + "learning_rate": 4.019613755627938e-06, + "loss": 0.4454, + "step": 4287 + }, + { + "epoch": 0.58, + "learning_rate": 4.017480166942049e-06, + "loss": 0.4594, + "step": 4288 + }, + { + "epoch": 0.58, + "learning_rate": 4.015346764330712e-06, + "loss": 0.4604, + "step": 4289 + }, + { + "epoch": 0.58, + "learning_rate": 4.0132135481979605e-06, + "loss": 0.4999, + "step": 4290 + }, + { + "epoch": 0.58, + "learning_rate": 4.011080518947795e-06, + "loss": 0.4701, + "step": 4291 + }, + { + "epoch": 0.58, + "learning_rate": 4.008947676984178e-06, + "loss": 0.4489, + "step": 4292 + }, + { + "epoch": 0.58, + "learning_rate": 4.0068150227110375e-06, + "loss": 0.4539, + "step": 4293 + }, + { + "epoch": 0.58, + "learning_rate": 4.004682556532267e-06, + "loss": 0.4634, + "step": 4294 + }, + { + "epoch": 0.58, + "learning_rate": 4.002550278851725e-06, + "loss": 0.4619, + "step": 4295 + }, + { + "epoch": 0.58, + "learning_rate": 4.000418190073231e-06, + "loss": 0.4408, + "step": 4296 + }, + { + "epoch": 0.58, + "learning_rate": 3.998286290600573e-06, + "loss": 0.4878, + "step": 4297 + }, + { + "epoch": 0.58, + "learning_rate": 3.996154580837497e-06, + "loss": 0.4413, + "step": 4298 + }, + { + "epoch": 0.58, + "learning_rate": 3.994023061187721e-06, + "loss": 0.5042, + "step": 4299 + }, + { + "epoch": 0.58, + "learning_rate": 3.991891732054921e-06, + "loss": 0.4475, + "step": 4300 + }, + { + "epoch": 0.58, + "learning_rate": 3.989760593842738e-06, + "loss": 0.4739, + "step": 4301 + }, + { + "epoch": 0.58, + "learning_rate": 3.987629646954779e-06, + "loss": 0.4664, + "step": 4302 + }, + { + "epoch": 0.58, + "learning_rate": 3.985498891794615e-06, + "loss": 0.4728, + "step": 4303 + }, + { + "epoch": 0.58, + "learning_rate": 3.983368328765774e-06, + "loss": 0.4905, + "step": 4304 + }, + { + "epoch": 0.58, + "learning_rate": 3.981237958271757e-06, + "loss": 0.4672, + "step": 4305 + }, + { + "epoch": 0.58, + "learning_rate": 3.979107780716025e-06, + "loss": 0.4272, + "step": 4306 + }, + { + "epoch": 0.58, + "learning_rate": 3.976977796501999e-06, + "loss": 0.4888, + "step": 4307 + }, + { + "epoch": 0.58, + "learning_rate": 3.974848006033066e-06, + "loss": 0.5214, + "step": 4308 + }, + { + "epoch": 0.58, + "learning_rate": 3.97271840971258e-06, + "loss": 0.4922, + "step": 4309 + }, + { + "epoch": 0.58, + "learning_rate": 3.97058900794385e-06, + "loss": 0.4955, + "step": 4310 + }, + { + "epoch": 0.58, + "learning_rate": 3.968459801130156e-06, + "loss": 0.4463, + "step": 4311 + }, + { + "epoch": 0.58, + "learning_rate": 3.966330789674739e-06, + "loss": 0.4824, + "step": 4312 + }, + { + "epoch": 0.58, + "learning_rate": 3.964201973980797e-06, + "loss": 0.4908, + "step": 4313 + }, + { + "epoch": 0.58, + "learning_rate": 3.9620733544515e-06, + "loss": 0.5033, + "step": 4314 + }, + { + "epoch": 0.58, + "learning_rate": 3.959944931489977e-06, + "loss": 0.4713, + "step": 4315 + }, + { + "epoch": 0.58, + "learning_rate": 3.9578167054993145e-06, + "loss": 0.458, + "step": 4316 + }, + { + "epoch": 0.58, + "learning_rate": 3.955688676882572e-06, + "loss": 0.492, + "step": 4317 + }, + { + "epoch": 0.58, + "learning_rate": 3.953560846042765e-06, + "loss": 0.4661, + "step": 4318 + }, + { + "epoch": 0.58, + "learning_rate": 3.95143321338287e-06, + "loss": 0.4648, + "step": 4319 + }, + { + "epoch": 0.58, + "learning_rate": 3.949305779305833e-06, + "loss": 0.4651, + "step": 4320 + }, + { + "epoch": 0.58, + "learning_rate": 3.947178544214557e-06, + "loss": 0.4514, + "step": 4321 + }, + { + "epoch": 0.58, + "learning_rate": 3.945051508511904e-06, + "loss": 0.464, + "step": 4322 + }, + { + "epoch": 0.58, + "learning_rate": 3.94292467260071e-06, + "loss": 0.4648, + "step": 4323 + }, + { + "epoch": 0.58, + "learning_rate": 3.940798036883761e-06, + "loss": 0.4787, + "step": 4324 + }, + { + "epoch": 0.58, + "learning_rate": 3.938671601763809e-06, + "loss": 0.4949, + "step": 4325 + }, + { + "epoch": 0.58, + "learning_rate": 3.936545367643574e-06, + "loss": 0.4342, + "step": 4326 + }, + { + "epoch": 0.58, + "learning_rate": 3.934419334925729e-06, + "loss": 0.4862, + "step": 4327 + }, + { + "epoch": 0.58, + "learning_rate": 3.932293504012913e-06, + "loss": 0.5081, + "step": 4328 + }, + { + "epoch": 0.58, + "learning_rate": 3.9301678753077285e-06, + "loss": 0.4801, + "step": 4329 + }, + { + "epoch": 0.58, + "learning_rate": 3.928042449212736e-06, + "loss": 0.4624, + "step": 4330 + }, + { + "epoch": 0.58, + "learning_rate": 3.9259172261304604e-06, + "loss": 0.4549, + "step": 4331 + }, + { + "epoch": 0.58, + "learning_rate": 3.9237922064633875e-06, + "loss": 0.4809, + "step": 4332 + }, + { + "epoch": 0.58, + "learning_rate": 3.921667390613962e-06, + "loss": 0.4713, + "step": 4333 + }, + { + "epoch": 0.58, + "learning_rate": 3.919542778984595e-06, + "loss": 0.4626, + "step": 4334 + }, + { + "epoch": 0.58, + "learning_rate": 3.9174183719776545e-06, + "loss": 0.4876, + "step": 4335 + }, + { + "epoch": 0.58, + "learning_rate": 3.915294169995472e-06, + "loss": 0.4713, + "step": 4336 + }, + { + "epoch": 0.58, + "learning_rate": 3.913170173440339e-06, + "loss": 0.4958, + "step": 4337 + }, + { + "epoch": 0.58, + "learning_rate": 3.91104638271451e-06, + "loss": 0.4835, + "step": 4338 + }, + { + "epoch": 0.58, + "learning_rate": 3.908922798220196e-06, + "loss": 0.4515, + "step": 4339 + }, + { + "epoch": 0.58, + "learning_rate": 3.906799420359576e-06, + "loss": 0.4672, + "step": 4340 + }, + { + "epoch": 0.58, + "learning_rate": 3.904676249534784e-06, + "loss": 0.4536, + "step": 4341 + }, + { + "epoch": 0.58, + "learning_rate": 3.902553286147917e-06, + "loss": 0.4701, + "step": 4342 + }, + { + "epoch": 0.58, + "learning_rate": 3.900430530601033e-06, + "loss": 0.4929, + "step": 4343 + }, + { + "epoch": 0.58, + "learning_rate": 3.89830798329615e-06, + "loss": 0.4984, + "step": 4344 + }, + { + "epoch": 0.58, + "learning_rate": 3.896185644635245e-06, + "loss": 0.4666, + "step": 4345 + }, + { + "epoch": 0.58, + "learning_rate": 3.89406351502026e-06, + "loss": 0.4626, + "step": 4346 + }, + { + "epoch": 0.58, + "learning_rate": 3.8919415948530925e-06, + "loss": 0.4937, + "step": 4347 + }, + { + "epoch": 0.58, + "learning_rate": 3.889819884535603e-06, + "loss": 0.4992, + "step": 4348 + }, + { + "epoch": 0.58, + "learning_rate": 3.887698384469613e-06, + "loss": 0.4584, + "step": 4349 + }, + { + "epoch": 0.58, + "learning_rate": 3.8855770950569e-06, + "loss": 0.4577, + "step": 4350 + }, + { + "epoch": 0.58, + "learning_rate": 3.883456016699206e-06, + "loss": 0.4637, + "step": 4351 + }, + { + "epoch": 0.58, + "learning_rate": 3.881335149798233e-06, + "loss": 0.4662, + "step": 4352 + }, + { + "epoch": 0.58, + "learning_rate": 3.8792144947556384e-06, + "loss": 0.4621, + "step": 4353 + }, + { + "epoch": 0.58, + "learning_rate": 3.877094051973045e-06, + "loss": 0.4936, + "step": 4354 + }, + { + "epoch": 0.59, + "learning_rate": 3.874973821852032e-06, + "loss": 0.4897, + "step": 4355 + }, + { + "epoch": 0.59, + "learning_rate": 3.8728538047941395e-06, + "loss": 0.4796, + "step": 4356 + }, + { + "epoch": 0.59, + "learning_rate": 3.870734001200866e-06, + "loss": 0.4541, + "step": 4357 + }, + { + "epoch": 0.59, + "learning_rate": 3.868614411473673e-06, + "loss": 0.4586, + "step": 4358 + }, + { + "epoch": 0.59, + "learning_rate": 3.866495036013976e-06, + "loss": 0.4737, + "step": 4359 + }, + { + "epoch": 0.59, + "learning_rate": 3.8643758752231555e-06, + "loss": 0.4588, + "step": 4360 + }, + { + "epoch": 0.59, + "learning_rate": 3.862256929502547e-06, + "loss": 0.4901, + "step": 4361 + }, + { + "epoch": 0.59, + "learning_rate": 3.860138199253449e-06, + "loss": 0.4578, + "step": 4362 + }, + { + "epoch": 0.59, + "learning_rate": 3.8580196848771145e-06, + "loss": 0.4875, + "step": 4363 + }, + { + "epoch": 0.59, + "learning_rate": 3.855901386774763e-06, + "loss": 0.4609, + "step": 4364 + }, + { + "epoch": 0.59, + "learning_rate": 3.853783305347562e-06, + "loss": 0.4739, + "step": 4365 + }, + { + "epoch": 0.59, + "learning_rate": 3.85166544099665e-06, + "loss": 0.469, + "step": 4366 + }, + { + "epoch": 0.59, + "learning_rate": 3.849547794123118e-06, + "loss": 0.4742, + "step": 4367 + }, + { + "epoch": 0.59, + "learning_rate": 3.8474303651280135e-06, + "loss": 0.4742, + "step": 4368 + }, + { + "epoch": 0.59, + "learning_rate": 3.845313154412348e-06, + "loss": 0.4785, + "step": 4369 + }, + { + "epoch": 0.59, + "learning_rate": 3.84319616237709e-06, + "loss": 0.4703, + "step": 4370 + }, + { + "epoch": 0.59, + "learning_rate": 3.841079389423165e-06, + "loss": 0.4855, + "step": 4371 + }, + { + "epoch": 0.59, + "learning_rate": 3.8389628359514585e-06, + "loss": 0.4391, + "step": 4372 + }, + { + "epoch": 0.59, + "learning_rate": 3.8368465023628145e-06, + "loss": 0.4631, + "step": 4373 + }, + { + "epoch": 0.59, + "learning_rate": 3.834730389058034e-06, + "loss": 0.4897, + "step": 4374 + }, + { + "epoch": 0.59, + "learning_rate": 3.83261449643788e-06, + "loss": 0.4427, + "step": 4375 + }, + { + "epoch": 0.59, + "learning_rate": 3.830498824903066e-06, + "loss": 0.5111, + "step": 4376 + }, + { + "epoch": 0.59, + "learning_rate": 3.8283833748542705e-06, + "loss": 0.4557, + "step": 4377 + }, + { + "epoch": 0.59, + "learning_rate": 3.826268146692132e-06, + "loss": 0.4709, + "step": 4378 + }, + { + "epoch": 0.59, + "learning_rate": 3.824153140817238e-06, + "loss": 0.4689, + "step": 4379 + }, + { + "epoch": 0.59, + "learning_rate": 3.822038357630139e-06, + "loss": 0.4558, + "step": 4380 + }, + { + "epoch": 0.59, + "learning_rate": 3.819923797531348e-06, + "loss": 0.5041, + "step": 4381 + }, + { + "epoch": 0.59, + "learning_rate": 3.817809460921326e-06, + "loss": 0.4666, + "step": 4382 + }, + { + "epoch": 0.59, + "learning_rate": 3.815695348200498e-06, + "loss": 0.4322, + "step": 4383 + }, + { + "epoch": 0.59, + "learning_rate": 3.813581459769249e-06, + "loss": 0.4676, + "step": 4384 + }, + { + "epoch": 0.59, + "learning_rate": 3.811467796027913e-06, + "loss": 0.4924, + "step": 4385 + }, + { + "epoch": 0.59, + "learning_rate": 3.8093543573767868e-06, + "loss": 0.4715, + "step": 4386 + }, + { + "epoch": 0.59, + "learning_rate": 3.8072411442161284e-06, + "loss": 0.4671, + "step": 4387 + }, + { + "epoch": 0.59, + "learning_rate": 3.805128156946144e-06, + "loss": 0.4703, + "step": 4388 + }, + { + "epoch": 0.59, + "learning_rate": 3.8030153959670023e-06, + "loss": 0.4742, + "step": 4389 + }, + { + "epoch": 0.59, + "learning_rate": 3.8009028616788334e-06, + "loss": 0.4665, + "step": 4390 + }, + { + "epoch": 0.59, + "learning_rate": 3.7987905544817138e-06, + "loss": 0.4996, + "step": 4391 + }, + { + "epoch": 0.59, + "learning_rate": 3.796678474775684e-06, + "loss": 0.5088, + "step": 4392 + }, + { + "epoch": 0.59, + "learning_rate": 3.794566622960745e-06, + "loss": 0.4455, + "step": 4393 + }, + { + "epoch": 0.59, + "learning_rate": 3.7924549994368437e-06, + "loss": 0.4699, + "step": 4394 + }, + { + "epoch": 0.59, + "learning_rate": 3.7903436046038923e-06, + "loss": 0.4793, + "step": 4395 + }, + { + "epoch": 0.59, + "learning_rate": 3.7882324388617596e-06, + "loss": 0.4666, + "step": 4396 + }, + { + "epoch": 0.59, + "learning_rate": 3.786121502610266e-06, + "loss": 0.4559, + "step": 4397 + }, + { + "epoch": 0.59, + "learning_rate": 3.784010796249191e-06, + "loss": 0.4861, + "step": 4398 + }, + { + "epoch": 0.59, + "learning_rate": 3.781900320178275e-06, + "loss": 0.4958, + "step": 4399 + }, + { + "epoch": 0.59, + "learning_rate": 3.7797900747972054e-06, + "loss": 0.4978, + "step": 4400 + }, + { + "epoch": 0.59, + "learning_rate": 3.7776800605056346e-06, + "loss": 0.4899, + "step": 4401 + }, + { + "epoch": 0.59, + "learning_rate": 3.775570277703165e-06, + "loss": 0.4989, + "step": 4402 + }, + { + "epoch": 0.59, + "learning_rate": 3.7734607267893597e-06, + "loss": 0.4858, + "step": 4403 + }, + { + "epoch": 0.59, + "learning_rate": 3.7713514081637365e-06, + "loss": 0.477, + "step": 4404 + }, + { + "epoch": 0.59, + "learning_rate": 3.7692423222257667e-06, + "loss": 0.4625, + "step": 4405 + }, + { + "epoch": 0.59, + "learning_rate": 3.7671334693748808e-06, + "loss": 0.4497, + "step": 4406 + }, + { + "epoch": 0.59, + "learning_rate": 3.765024850010465e-06, + "loss": 0.4649, + "step": 4407 + }, + { + "epoch": 0.59, + "learning_rate": 3.7629164645318584e-06, + "loss": 0.4854, + "step": 4408 + }, + { + "epoch": 0.59, + "learning_rate": 3.7608083133383584e-06, + "loss": 0.4783, + "step": 4409 + }, + { + "epoch": 0.59, + "learning_rate": 3.7587003968292184e-06, + "loss": 0.4808, + "step": 4410 + }, + { + "epoch": 0.59, + "learning_rate": 3.756592715403644e-06, + "loss": 0.4819, + "step": 4411 + }, + { + "epoch": 0.59, + "learning_rate": 3.7544852694608004e-06, + "loss": 0.4996, + "step": 4412 + }, + { + "epoch": 0.59, + "learning_rate": 3.752378059399806e-06, + "loss": 0.4816, + "step": 4413 + }, + { + "epoch": 0.59, + "learning_rate": 3.7502710856197337e-06, + "loss": 0.4845, + "step": 4414 + }, + { + "epoch": 0.59, + "learning_rate": 3.748164348519614e-06, + "loss": 0.4731, + "step": 4415 + }, + { + "epoch": 0.59, + "learning_rate": 3.746057848498432e-06, + "loss": 0.5104, + "step": 4416 + }, + { + "epoch": 0.59, + "learning_rate": 3.7439515859551246e-06, + "loss": 0.475, + "step": 4417 + }, + { + "epoch": 0.59, + "learning_rate": 3.7418455612885883e-06, + "loss": 0.4936, + "step": 4418 + }, + { + "epoch": 0.59, + "learning_rate": 3.7397397748976737e-06, + "loss": 0.4763, + "step": 4419 + }, + { + "epoch": 0.59, + "learning_rate": 3.7376342271811826e-06, + "loss": 0.4788, + "step": 4420 + }, + { + "epoch": 0.59, + "learning_rate": 3.735528918537876e-06, + "loss": 0.4707, + "step": 4421 + }, + { + "epoch": 0.59, + "learning_rate": 3.7334238493664677e-06, + "loss": 0.4603, + "step": 4422 + }, + { + "epoch": 0.59, + "learning_rate": 3.7313190200656257e-06, + "loss": 0.4813, + "step": 4423 + }, + { + "epoch": 0.59, + "learning_rate": 3.729214431033973e-06, + "loss": 0.4431, + "step": 4424 + }, + { + "epoch": 0.59, + "learning_rate": 3.727110082670089e-06, + "loss": 0.4536, + "step": 4425 + }, + { + "epoch": 0.59, + "learning_rate": 3.725005975372503e-06, + "loss": 0.4975, + "step": 4426 + }, + { + "epoch": 0.59, + "learning_rate": 3.722902109539705e-06, + "loss": 0.4661, + "step": 4427 + }, + { + "epoch": 0.59, + "learning_rate": 3.720798485570132e-06, + "loss": 0.4932, + "step": 4428 + }, + { + "epoch": 0.6, + "learning_rate": 3.718695103862181e-06, + "loss": 0.474, + "step": 4429 + }, + { + "epoch": 0.6, + "learning_rate": 3.7165919648142013e-06, + "loss": 0.4683, + "step": 4430 + }, + { + "epoch": 0.6, + "learning_rate": 3.7144890688244937e-06, + "loss": 0.499, + "step": 4431 + }, + { + "epoch": 0.6, + "learning_rate": 3.712386416291317e-06, + "loss": 0.4804, + "step": 4432 + }, + { + "epoch": 0.6, + "learning_rate": 3.7102840076128842e-06, + "loss": 0.4627, + "step": 4433 + }, + { + "epoch": 0.6, + "learning_rate": 3.708181843187355e-06, + "loss": 0.4786, + "step": 4434 + }, + { + "epoch": 0.6, + "learning_rate": 3.7060799234128507e-06, + "loss": 0.4747, + "step": 4435 + }, + { + "epoch": 0.6, + "learning_rate": 3.7039782486874463e-06, + "loss": 0.4734, + "step": 4436 + }, + { + "epoch": 0.6, + "learning_rate": 3.701876819409161e-06, + "loss": 0.5061, + "step": 4437 + }, + { + "epoch": 0.6, + "learning_rate": 3.6997756359759784e-06, + "loss": 0.4842, + "step": 4438 + }, + { + "epoch": 0.6, + "learning_rate": 3.6976746987858332e-06, + "loss": 0.4887, + "step": 4439 + }, + { + "epoch": 0.6, + "learning_rate": 3.6955740082366047e-06, + "loss": 0.4617, + "step": 4440 + }, + { + "epoch": 0.6, + "learning_rate": 3.6934735647261377e-06, + "loss": 0.4582, + "step": 4441 + }, + { + "epoch": 0.6, + "learning_rate": 3.691373368652226e-06, + "loss": 0.4686, + "step": 4442 + }, + { + "epoch": 0.6, + "learning_rate": 3.689273420412609e-06, + "loss": 0.4999, + "step": 4443 + }, + { + "epoch": 0.6, + "learning_rate": 3.6871737204049897e-06, + "loss": 0.4651, + "step": 4444 + }, + { + "epoch": 0.6, + "learning_rate": 3.6850742690270214e-06, + "loss": 0.4873, + "step": 4445 + }, + { + "epoch": 0.6, + "learning_rate": 3.6829750666763043e-06, + "loss": 0.4906, + "step": 4446 + }, + { + "epoch": 0.6, + "learning_rate": 3.6808761137503986e-06, + "loss": 0.507, + "step": 4447 + }, + { + "epoch": 0.6, + "learning_rate": 3.6787774106468162e-06, + "loss": 0.4921, + "step": 4448 + }, + { + "epoch": 0.6, + "learning_rate": 3.6766789577630146e-06, + "loss": 0.471, + "step": 4449 + }, + { + "epoch": 0.6, + "learning_rate": 3.6745807554964148e-06, + "loss": 0.4781, + "step": 4450 + }, + { + "epoch": 0.6, + "learning_rate": 3.6724828042443845e-06, + "loss": 0.4643, + "step": 4451 + }, + { + "epoch": 0.6, + "learning_rate": 3.6703851044042395e-06, + "loss": 0.4984, + "step": 4452 + }, + { + "epoch": 0.6, + "learning_rate": 3.668287656373259e-06, + "loss": 0.4755, + "step": 4453 + }, + { + "epoch": 0.6, + "learning_rate": 3.6661904605486633e-06, + "loss": 0.4829, + "step": 4454 + }, + { + "epoch": 0.6, + "learning_rate": 3.6640935173276314e-06, + "loss": 0.4672, + "step": 4455 + }, + { + "epoch": 0.6, + "learning_rate": 3.661996827107295e-06, + "loss": 0.4636, + "step": 4456 + }, + { + "epoch": 0.6, + "learning_rate": 3.659900390284733e-06, + "loss": 0.4785, + "step": 4457 + }, + { + "epoch": 0.6, + "learning_rate": 3.6578042072569797e-06, + "loss": 0.4661, + "step": 4458 + }, + { + "epoch": 0.6, + "learning_rate": 3.655708278421023e-06, + "loss": 0.4982, + "step": 4459 + }, + { + "epoch": 0.6, + "learning_rate": 3.653612604173798e-06, + "loss": 0.4712, + "step": 4460 + }, + { + "epoch": 0.6, + "learning_rate": 3.651517184912195e-06, + "loss": 0.4595, + "step": 4461 + }, + { + "epoch": 0.6, + "learning_rate": 3.6494220210330554e-06, + "loss": 0.4254, + "step": 4462 + }, + { + "epoch": 0.6, + "learning_rate": 3.647327112933171e-06, + "loss": 0.5013, + "step": 4463 + }, + { + "epoch": 0.6, + "learning_rate": 3.645232461009287e-06, + "loss": 0.4681, + "step": 4464 + }, + { + "epoch": 0.6, + "learning_rate": 3.643138065658099e-06, + "loss": 0.4647, + "step": 4465 + }, + { + "epoch": 0.6, + "learning_rate": 3.6410439272762528e-06, + "loss": 0.4703, + "step": 4466 + }, + { + "epoch": 0.6, + "learning_rate": 3.638950046260348e-06, + "loss": 0.4903, + "step": 4467 + }, + { + "epoch": 0.6, + "learning_rate": 3.636856423006935e-06, + "loss": 0.4907, + "step": 4468 + }, + { + "epoch": 0.6, + "learning_rate": 3.6347630579125125e-06, + "loss": 0.4505, + "step": 4469 + }, + { + "epoch": 0.6, + "learning_rate": 3.6326699513735342e-06, + "loss": 0.4624, + "step": 4470 + }, + { + "epoch": 0.6, + "learning_rate": 3.6305771037864045e-06, + "loss": 0.5045, + "step": 4471 + }, + { + "epoch": 0.6, + "learning_rate": 3.628484515547474e-06, + "loss": 0.4999, + "step": 4472 + }, + { + "epoch": 0.6, + "learning_rate": 3.6263921870530495e-06, + "loss": 0.5033, + "step": 4473 + }, + { + "epoch": 0.6, + "learning_rate": 3.6243001186993875e-06, + "loss": 0.4864, + "step": 4474 + }, + { + "epoch": 0.6, + "learning_rate": 3.6222083108826927e-06, + "loss": 0.4952, + "step": 4475 + }, + { + "epoch": 0.6, + "learning_rate": 3.6201167639991243e-06, + "loss": 0.4996, + "step": 4476 + }, + { + "epoch": 0.6, + "learning_rate": 3.6180254784447865e-06, + "loss": 0.4585, + "step": 4477 + }, + { + "epoch": 0.6, + "learning_rate": 3.615934454615741e-06, + "loss": 0.5067, + "step": 4478 + }, + { + "epoch": 0.6, + "learning_rate": 3.6138436929079957e-06, + "loss": 0.4524, + "step": 4479 + }, + { + "epoch": 0.6, + "learning_rate": 3.611753193717508e-06, + "loss": 0.4428, + "step": 4480 + }, + { + "epoch": 0.6, + "learning_rate": 3.609662957440187e-06, + "loss": 0.4588, + "step": 4481 + }, + { + "epoch": 0.6, + "learning_rate": 3.6075729844718954e-06, + "loss": 0.4571, + "step": 4482 + }, + { + "epoch": 0.6, + "learning_rate": 3.605483275208439e-06, + "loss": 0.4779, + "step": 4483 + }, + { + "epoch": 0.6, + "learning_rate": 3.6033938300455796e-06, + "loss": 0.4978, + "step": 4484 + }, + { + "epoch": 0.6, + "learning_rate": 3.6013046493790273e-06, + "loss": 0.5048, + "step": 4485 + }, + { + "epoch": 0.6, + "learning_rate": 3.5992157336044397e-06, + "loss": 0.4893, + "step": 4486 + }, + { + "epoch": 0.6, + "learning_rate": 3.5971270831174266e-06, + "loss": 0.4813, + "step": 4487 + }, + { + "epoch": 0.6, + "learning_rate": 3.59503869831355e-06, + "loss": 0.458, + "step": 4488 + }, + { + "epoch": 0.6, + "learning_rate": 3.5929505795883145e-06, + "loss": 0.4432, + "step": 4489 + }, + { + "epoch": 0.6, + "learning_rate": 3.5908627273371803e-06, + "loss": 0.4599, + "step": 4490 + }, + { + "epoch": 0.6, + "learning_rate": 3.588775141955557e-06, + "loss": 0.4948, + "step": 4491 + }, + { + "epoch": 0.6, + "learning_rate": 3.5866878238387997e-06, + "loss": 0.4352, + "step": 4492 + }, + { + "epoch": 0.6, + "learning_rate": 3.5846007733822165e-06, + "loss": 0.4748, + "step": 4493 + }, + { + "epoch": 0.6, + "learning_rate": 3.582513990981063e-06, + "loss": 0.4762, + "step": 4494 + }, + { + "epoch": 0.6, + "learning_rate": 3.5804274770305445e-06, + "loss": 0.4523, + "step": 4495 + }, + { + "epoch": 0.6, + "learning_rate": 3.5783412319258153e-06, + "loss": 0.4831, + "step": 4496 + }, + { + "epoch": 0.6, + "learning_rate": 3.5762552560619806e-06, + "loss": 0.454, + "step": 4497 + }, + { + "epoch": 0.6, + "learning_rate": 3.574169549834091e-06, + "loss": 0.4795, + "step": 4498 + }, + { + "epoch": 0.6, + "learning_rate": 3.5720841136371487e-06, + "loss": 0.4774, + "step": 4499 + }, + { + "epoch": 0.6, + "learning_rate": 3.569998947866105e-06, + "loss": 0.4663, + "step": 4500 + }, + { + "epoch": 0.6, + "learning_rate": 3.5679140529158572e-06, + "loss": 0.4977, + "step": 4501 + }, + { + "epoch": 0.6, + "learning_rate": 3.5658294291812567e-06, + "loss": 0.4789, + "step": 4502 + }, + { + "epoch": 0.6, + "learning_rate": 3.563745077057095e-06, + "loss": 0.4948, + "step": 4503 + }, + { + "epoch": 0.61, + "learning_rate": 3.5616609969381204e-06, + "loss": 0.468, + "step": 4504 + }, + { + "epoch": 0.61, + "learning_rate": 3.559577189219028e-06, + "loss": 0.4662, + "step": 4505 + }, + { + "epoch": 0.61, + "learning_rate": 3.557493654294455e-06, + "loss": 0.4687, + "step": 4506 + }, + { + "epoch": 0.61, + "learning_rate": 3.5554103925589955e-06, + "loss": 0.4833, + "step": 4507 + }, + { + "epoch": 0.61, + "learning_rate": 3.5533274044071885e-06, + "loss": 0.4876, + "step": 4508 + }, + { + "epoch": 0.61, + "learning_rate": 3.5512446902335178e-06, + "loss": 0.5004, + "step": 4509 + }, + { + "epoch": 0.61, + "learning_rate": 3.5491622504324187e-06, + "loss": 0.4886, + "step": 4510 + }, + { + "epoch": 0.61, + "learning_rate": 3.547080085398279e-06, + "loss": 0.4653, + "step": 4511 + }, + { + "epoch": 0.61, + "learning_rate": 3.5449981955254233e-06, + "loss": 0.4672, + "step": 4512 + }, + { + "epoch": 0.61, + "learning_rate": 3.542916581208131e-06, + "loss": 0.4545, + "step": 4513 + }, + { + "epoch": 0.61, + "learning_rate": 3.540835242840635e-06, + "loss": 0.4537, + "step": 4514 + }, + { + "epoch": 0.61, + "learning_rate": 3.5387541808171027e-06, + "loss": 0.4844, + "step": 4515 + }, + { + "epoch": 0.61, + "learning_rate": 3.5366733955316577e-06, + "loss": 0.438, + "step": 4516 + }, + { + "epoch": 0.61, + "learning_rate": 3.534592887378374e-06, + "loss": 0.5008, + "step": 4517 + }, + { + "epoch": 0.61, + "learning_rate": 3.532512656751263e-06, + "loss": 0.4757, + "step": 4518 + }, + { + "epoch": 0.61, + "learning_rate": 3.5304327040442902e-06, + "loss": 0.4954, + "step": 4519 + }, + { + "epoch": 0.61, + "learning_rate": 3.5283530296513723e-06, + "loss": 0.468, + "step": 4520 + }, + { + "epoch": 0.61, + "learning_rate": 3.5262736339663634e-06, + "loss": 0.4608, + "step": 4521 + }, + { + "epoch": 0.61, + "learning_rate": 3.5241945173830698e-06, + "loss": 0.478, + "step": 4522 + }, + { + "epoch": 0.61, + "learning_rate": 3.5221156802952505e-06, + "loss": 0.4665, + "step": 4523 + }, + { + "epoch": 0.61, + "learning_rate": 3.5200371230966e-06, + "loss": 0.4948, + "step": 4524 + }, + { + "epoch": 0.61, + "learning_rate": 3.5179588461807675e-06, + "loss": 0.4727, + "step": 4525 + }, + { + "epoch": 0.61, + "learning_rate": 3.5158808499413517e-06, + "loss": 0.5003, + "step": 4526 + }, + { + "epoch": 0.61, + "learning_rate": 3.5138031347718883e-06, + "loss": 0.4731, + "step": 4527 + }, + { + "epoch": 0.61, + "learning_rate": 3.511725701065869e-06, + "loss": 0.481, + "step": 4528 + }, + { + "epoch": 0.61, + "learning_rate": 3.5096485492167266e-06, + "loss": 0.4764, + "step": 4529 + }, + { + "epoch": 0.61, + "learning_rate": 3.507571679617844e-06, + "loss": 0.4725, + "step": 4530 + }, + { + "epoch": 0.61, + "learning_rate": 3.5054950926625485e-06, + "loss": 0.4814, + "step": 4531 + }, + { + "epoch": 0.61, + "learning_rate": 3.5034187887441152e-06, + "loss": 0.4566, + "step": 4532 + }, + { + "epoch": 0.61, + "learning_rate": 3.5013427682557633e-06, + "loss": 0.4906, + "step": 4533 + }, + { + "epoch": 0.61, + "learning_rate": 3.499267031590663e-06, + "loss": 0.514, + "step": 4534 + }, + { + "epoch": 0.61, + "learning_rate": 3.4971915791419252e-06, + "loss": 0.4512, + "step": 4535 + }, + { + "epoch": 0.61, + "learning_rate": 3.4951164113026103e-06, + "loss": 0.4717, + "step": 4536 + }, + { + "epoch": 0.61, + "learning_rate": 3.4930415284657247e-06, + "loss": 0.4809, + "step": 4537 + }, + { + "epoch": 0.61, + "learning_rate": 3.490966931024219e-06, + "loss": 0.4612, + "step": 4538 + }, + { + "epoch": 0.61, + "learning_rate": 3.4888926193709917e-06, + "loss": 0.4876, + "step": 4539 + }, + { + "epoch": 0.61, + "learning_rate": 3.486818593898887e-06, + "loss": 0.4647, + "step": 4540 + }, + { + "epoch": 0.61, + "learning_rate": 3.4847448550006925e-06, + "loss": 0.4769, + "step": 4541 + }, + { + "epoch": 0.61, + "learning_rate": 3.482671403069144e-06, + "loss": 0.4623, + "step": 4542 + }, + { + "epoch": 0.61, + "learning_rate": 3.4805982384969232e-06, + "loss": 0.4626, + "step": 4543 + }, + { + "epoch": 0.61, + "learning_rate": 3.4785253616766555e-06, + "loss": 0.4997, + "step": 4544 + }, + { + "epoch": 0.61, + "learning_rate": 3.4764527730009124e-06, + "loss": 0.4844, + "step": 4545 + }, + { + "epoch": 0.61, + "learning_rate": 3.474380472862213e-06, + "loss": 0.468, + "step": 4546 + }, + { + "epoch": 0.61, + "learning_rate": 3.4723084616530182e-06, + "loss": 0.4771, + "step": 4547 + }, + { + "epoch": 0.61, + "learning_rate": 3.4702367397657366e-06, + "loss": 0.4464, + "step": 4548 + }, + { + "epoch": 0.61, + "learning_rate": 3.468165307592721e-06, + "loss": 0.4707, + "step": 4549 + }, + { + "epoch": 0.61, + "learning_rate": 3.4660941655262697e-06, + "loss": 0.4865, + "step": 4550 + }, + { + "epoch": 0.61, + "learning_rate": 3.464023313958626e-06, + "loss": 0.4568, + "step": 4551 + }, + { + "epoch": 0.61, + "learning_rate": 3.461952753281979e-06, + "loss": 0.471, + "step": 4552 + }, + { + "epoch": 0.61, + "learning_rate": 3.4598824838884603e-06, + "loss": 0.4694, + "step": 4553 + }, + { + "epoch": 0.61, + "learning_rate": 3.45781250617015e-06, + "loss": 0.475, + "step": 4554 + }, + { + "epoch": 0.61, + "learning_rate": 3.455742820519069e-06, + "loss": 0.4646, + "step": 4555 + }, + { + "epoch": 0.61, + "learning_rate": 3.453673427327185e-06, + "loss": 0.4924, + "step": 4556 + }, + { + "epoch": 0.61, + "learning_rate": 3.4516043269864117e-06, + "loss": 0.4867, + "step": 4557 + }, + { + "epoch": 0.61, + "learning_rate": 3.449535519888604e-06, + "loss": 0.486, + "step": 4558 + }, + { + "epoch": 0.61, + "learning_rate": 3.4474670064255633e-06, + "loss": 0.5068, + "step": 4559 + }, + { + "epoch": 0.61, + "learning_rate": 3.445398786989038e-06, + "loss": 0.483, + "step": 4560 + }, + { + "epoch": 0.61, + "learning_rate": 3.4433308619707118e-06, + "loss": 0.4675, + "step": 4561 + }, + { + "epoch": 0.61, + "learning_rate": 3.441263231762224e-06, + "loss": 0.4787, + "step": 4562 + }, + { + "epoch": 0.61, + "learning_rate": 3.4391958967551527e-06, + "loss": 0.4693, + "step": 4563 + }, + { + "epoch": 0.61, + "learning_rate": 3.4371288573410155e-06, + "loss": 0.4745, + "step": 4564 + }, + { + "epoch": 0.61, + "learning_rate": 3.4350621139112826e-06, + "loss": 0.4587, + "step": 4565 + }, + { + "epoch": 0.61, + "learning_rate": 3.432995666857366e-06, + "loss": 0.4887, + "step": 4566 + }, + { + "epoch": 0.61, + "learning_rate": 3.4309295165706147e-06, + "loss": 0.4588, + "step": 4567 + }, + { + "epoch": 0.61, + "learning_rate": 3.42886366344233e-06, + "loss": 0.4828, + "step": 4568 + }, + { + "epoch": 0.61, + "learning_rate": 3.4267981078637546e-06, + "loss": 0.4774, + "step": 4569 + }, + { + "epoch": 0.61, + "learning_rate": 3.4247328502260697e-06, + "loss": 0.4649, + "step": 4570 + }, + { + "epoch": 0.61, + "learning_rate": 3.422667890920407e-06, + "loss": 0.4631, + "step": 4571 + }, + { + "epoch": 0.61, + "learning_rate": 3.420603230337841e-06, + "loss": 0.4652, + "step": 4572 + }, + { + "epoch": 0.61, + "learning_rate": 3.4185388688693823e-06, + "loss": 0.4635, + "step": 4573 + }, + { + "epoch": 0.61, + "learning_rate": 3.416474806905993e-06, + "loss": 0.4706, + "step": 4574 + }, + { + "epoch": 0.61, + "learning_rate": 3.414411044838577e-06, + "loss": 0.4417, + "step": 4575 + }, + { + "epoch": 0.61, + "learning_rate": 3.4123475830579763e-06, + "loss": 0.5018, + "step": 4576 + }, + { + "epoch": 0.61, + "learning_rate": 3.4102844219549817e-06, + "loss": 0.4919, + "step": 4577 + }, + { + "epoch": 0.62, + "learning_rate": 3.4082215619203276e-06, + "loss": 0.4802, + "step": 4578 + }, + { + "epoch": 0.62, + "learning_rate": 3.4061590033446833e-06, + "loss": 0.4675, + "step": 4579 + }, + { + "epoch": 0.62, + "learning_rate": 3.404096746618672e-06, + "loss": 0.5005, + "step": 4580 + }, + { + "epoch": 0.62, + "learning_rate": 3.40203479213285e-06, + "loss": 0.4917, + "step": 4581 + }, + { + "epoch": 0.62, + "learning_rate": 3.39997314027772e-06, + "loss": 0.4757, + "step": 4582 + }, + { + "epoch": 0.62, + "learning_rate": 3.3979117914437354e-06, + "loss": 0.4729, + "step": 4583 + }, + { + "epoch": 0.62, + "learning_rate": 3.3958507460212764e-06, + "loss": 0.4121, + "step": 4584 + }, + { + "epoch": 0.62, + "learning_rate": 3.3937900044006777e-06, + "loss": 0.4492, + "step": 4585 + }, + { + "epoch": 0.62, + "learning_rate": 3.3917295669722138e-06, + "loss": 0.491, + "step": 4586 + }, + { + "epoch": 0.62, + "learning_rate": 3.3896694341260984e-06, + "loss": 0.4853, + "step": 4587 + }, + { + "epoch": 0.62, + "learning_rate": 3.387609606252491e-06, + "loss": 0.4854, + "step": 4588 + }, + { + "epoch": 0.62, + "learning_rate": 3.3855500837414936e-06, + "loss": 0.4569, + "step": 4589 + }, + { + "epoch": 0.62, + "learning_rate": 3.3834908669831456e-06, + "loss": 0.5035, + "step": 4590 + }, + { + "epoch": 0.62, + "learning_rate": 3.3814319563674347e-06, + "loss": 0.4821, + "step": 4591 + }, + { + "epoch": 0.62, + "learning_rate": 3.3793733522842877e-06, + "loss": 0.4703, + "step": 4592 + }, + { + "epoch": 0.62, + "learning_rate": 3.377315055123571e-06, + "loss": 0.4564, + "step": 4593 + }, + { + "epoch": 0.62, + "learning_rate": 3.3752570652750978e-06, + "loss": 0.4782, + "step": 4594 + }, + { + "epoch": 0.62, + "learning_rate": 3.3731993831286196e-06, + "loss": 0.4645, + "step": 4595 + }, + { + "epoch": 0.62, + "learning_rate": 3.37114200907383e-06, + "loss": 0.4746, + "step": 4596 + }, + { + "epoch": 0.62, + "learning_rate": 3.369084943500366e-06, + "loss": 0.4838, + "step": 4597 + }, + { + "epoch": 0.62, + "learning_rate": 3.3670281867978043e-06, + "loss": 0.4881, + "step": 4598 + }, + { + "epoch": 0.62, + "learning_rate": 3.3649717393556637e-06, + "loss": 0.4914, + "step": 4599 + }, + { + "epoch": 0.62, + "learning_rate": 3.3629156015634046e-06, + "loss": 0.4883, + "step": 4600 + }, + { + "epoch": 0.62, + "learning_rate": 3.3608597738104305e-06, + "loss": 0.4967, + "step": 4601 + }, + { + "epoch": 0.62, + "learning_rate": 3.3588042564860814e-06, + "loss": 0.4792, + "step": 4602 + }, + { + "epoch": 0.62, + "learning_rate": 3.356749049979643e-06, + "loss": 0.4967, + "step": 4603 + }, + { + "epoch": 0.62, + "learning_rate": 3.354694154680342e-06, + "loss": 0.5018, + "step": 4604 + }, + { + "epoch": 0.62, + "learning_rate": 3.3526395709773423e-06, + "loss": 0.4854, + "step": 4605 + }, + { + "epoch": 0.62, + "learning_rate": 3.350585299259753e-06, + "loss": 0.4475, + "step": 4606 + }, + { + "epoch": 0.62, + "learning_rate": 3.348531339916622e-06, + "loss": 0.4962, + "step": 4607 + }, + { + "epoch": 0.62, + "learning_rate": 3.346477693336938e-06, + "loss": 0.4628, + "step": 4608 + }, + { + "epoch": 0.62, + "learning_rate": 3.344424359909632e-06, + "loss": 0.4749, + "step": 4609 + }, + { + "epoch": 0.62, + "learning_rate": 3.342371340023573e-06, + "loss": 0.4532, + "step": 4610 + }, + { + "epoch": 0.62, + "learning_rate": 3.340318634067573e-06, + "loss": 0.4883, + "step": 4611 + }, + { + "epoch": 0.62, + "learning_rate": 3.338266242430386e-06, + "loss": 0.4814, + "step": 4612 + }, + { + "epoch": 0.62, + "learning_rate": 3.3362141655006998e-06, + "loss": 0.4468, + "step": 4613 + }, + { + "epoch": 0.62, + "learning_rate": 3.33416240366715e-06, + "loss": 0.4679, + "step": 4614 + }, + { + "epoch": 0.62, + "learning_rate": 3.3321109573183096e-06, + "loss": 0.4769, + "step": 4615 + }, + { + "epoch": 0.62, + "learning_rate": 3.330059826842691e-06, + "loss": 0.4485, + "step": 4616 + }, + { + "epoch": 0.62, + "learning_rate": 3.3280090126287477e-06, + "loss": 0.4759, + "step": 4617 + }, + { + "epoch": 0.62, + "learning_rate": 3.3259585150648742e-06, + "loss": 0.4729, + "step": 4618 + }, + { + "epoch": 0.62, + "learning_rate": 3.323908334539403e-06, + "loss": 0.4608, + "step": 4619 + }, + { + "epoch": 0.62, + "learning_rate": 3.3218584714406068e-06, + "loss": 0.4685, + "step": 4620 + }, + { + "epoch": 0.62, + "learning_rate": 3.3198089261567015e-06, + "loss": 0.4805, + "step": 4621 + }, + { + "epoch": 0.62, + "learning_rate": 3.3177596990758377e-06, + "loss": 0.4637, + "step": 4622 + }, + { + "epoch": 0.62, + "learning_rate": 3.3157107905861098e-06, + "loss": 0.4832, + "step": 4623 + }, + { + "epoch": 0.62, + "learning_rate": 3.3136622010755517e-06, + "loss": 0.4546, + "step": 4624 + }, + { + "epoch": 0.62, + "learning_rate": 3.3116139309321315e-06, + "loss": 0.4466, + "step": 4625 + }, + { + "epoch": 0.62, + "learning_rate": 3.309565980543764e-06, + "loss": 0.4904, + "step": 4626 + }, + { + "epoch": 0.62, + "learning_rate": 3.3075183502983017e-06, + "loss": 0.4784, + "step": 4627 + }, + { + "epoch": 0.62, + "learning_rate": 3.305471040583531e-06, + "loss": 0.4775, + "step": 4628 + }, + { + "epoch": 0.62, + "learning_rate": 3.3034240517871847e-06, + "loss": 0.489, + "step": 4629 + }, + { + "epoch": 0.62, + "learning_rate": 3.3013773842969316e-06, + "loss": 0.4586, + "step": 4630 + }, + { + "epoch": 0.62, + "learning_rate": 3.2993310385003784e-06, + "loss": 0.4613, + "step": 4631 + }, + { + "epoch": 0.62, + "learning_rate": 3.2972850147850753e-06, + "loss": 0.4876, + "step": 4632 + }, + { + "epoch": 0.62, + "learning_rate": 3.2952393135385037e-06, + "loss": 0.5115, + "step": 4633 + }, + { + "epoch": 0.62, + "learning_rate": 3.2931939351480925e-06, + "loss": 0.4921, + "step": 4634 + }, + { + "epoch": 0.62, + "learning_rate": 3.291148880001207e-06, + "loss": 0.4584, + "step": 4635 + }, + { + "epoch": 0.62, + "learning_rate": 3.289104148485146e-06, + "loss": 0.4867, + "step": 4636 + }, + { + "epoch": 0.62, + "learning_rate": 3.287059740987152e-06, + "loss": 0.4693, + "step": 4637 + }, + { + "epoch": 0.62, + "learning_rate": 3.2850156578944094e-06, + "loss": 0.4699, + "step": 4638 + }, + { + "epoch": 0.62, + "learning_rate": 3.2829718995940305e-06, + "loss": 0.4518, + "step": 4639 + }, + { + "epoch": 0.62, + "learning_rate": 3.2809284664730763e-06, + "loss": 0.4608, + "step": 4640 + }, + { + "epoch": 0.62, + "learning_rate": 3.2788853589185442e-06, + "loss": 0.4571, + "step": 4641 + }, + { + "epoch": 0.62, + "learning_rate": 3.276842577317364e-06, + "loss": 0.4898, + "step": 4642 + }, + { + "epoch": 0.62, + "learning_rate": 3.274800122056409e-06, + "loss": 0.4672, + "step": 4643 + }, + { + "epoch": 0.62, + "learning_rate": 3.2727579935224933e-06, + "loss": 0.4396, + "step": 4644 + }, + { + "epoch": 0.62, + "learning_rate": 3.270716192102361e-06, + "loss": 0.4645, + "step": 4645 + }, + { + "epoch": 0.62, + "learning_rate": 3.2686747181826996e-06, + "loss": 0.4844, + "step": 4646 + }, + { + "epoch": 0.62, + "learning_rate": 3.2666335721501374e-06, + "loss": 0.4648, + "step": 4647 + }, + { + "epoch": 0.62, + "learning_rate": 3.2645927543912316e-06, + "loss": 0.4977, + "step": 4648 + }, + { + "epoch": 0.62, + "learning_rate": 3.2625522652924846e-06, + "loss": 0.4559, + "step": 4649 + }, + { + "epoch": 0.62, + "learning_rate": 3.2605121052403377e-06, + "loss": 0.5029, + "step": 4650 + }, + { + "epoch": 0.62, + "learning_rate": 3.2584722746211617e-06, + "loss": 0.4837, + "step": 4651 + }, + { + "epoch": 0.63, + "learning_rate": 3.256432773821271e-06, + "loss": 0.4852, + "step": 4652 + }, + { + "epoch": 0.63, + "learning_rate": 3.254393603226921e-06, + "loss": 0.4544, + "step": 4653 + }, + { + "epoch": 0.63, + "learning_rate": 3.2523547632242946e-06, + "loss": 0.4723, + "step": 4654 + }, + { + "epoch": 0.63, + "learning_rate": 3.2503162541995194e-06, + "loss": 0.4663, + "step": 4655 + }, + { + "epoch": 0.63, + "learning_rate": 3.2482780765386613e-06, + "loss": 0.4741, + "step": 4656 + }, + { + "epoch": 0.63, + "learning_rate": 3.2462402306277158e-06, + "loss": 0.4853, + "step": 4657 + }, + { + "epoch": 0.63, + "learning_rate": 3.2442027168526245e-06, + "loss": 0.4577, + "step": 4658 + }, + { + "epoch": 0.63, + "learning_rate": 3.2421655355992585e-06, + "loss": 0.4856, + "step": 4659 + }, + { + "epoch": 0.63, + "learning_rate": 3.240128687253432e-06, + "loss": 0.4487, + "step": 4660 + }, + { + "epoch": 0.63, + "learning_rate": 3.238092172200894e-06, + "loss": 0.4839, + "step": 4661 + }, + { + "epoch": 0.63, + "learning_rate": 3.236055990827328e-06, + "loss": 0.4733, + "step": 4662 + }, + { + "epoch": 0.63, + "learning_rate": 3.234020143518356e-06, + "loss": 0.475, + "step": 4663 + }, + { + "epoch": 0.63, + "learning_rate": 3.2319846306595406e-06, + "loss": 0.503, + "step": 4664 + }, + { + "epoch": 0.63, + "learning_rate": 3.229949452636373e-06, + "loss": 0.4851, + "step": 4665 + }, + { + "epoch": 0.63, + "learning_rate": 3.2279146098342872e-06, + "loss": 0.4695, + "step": 4666 + }, + { + "epoch": 0.63, + "learning_rate": 3.2258801026386543e-06, + "loss": 0.4804, + "step": 4667 + }, + { + "epoch": 0.63, + "learning_rate": 3.223845931434776e-06, + "loss": 0.4864, + "step": 4668 + }, + { + "epoch": 0.63, + "learning_rate": 3.221812096607895e-06, + "loss": 0.4546, + "step": 4669 + }, + { + "epoch": 0.63, + "learning_rate": 3.2197785985431905e-06, + "loss": 0.4987, + "step": 4670 + }, + { + "epoch": 0.63, + "learning_rate": 3.217745437625775e-06, + "loss": 0.4726, + "step": 4671 + }, + { + "epoch": 0.63, + "learning_rate": 3.215712614240699e-06, + "loss": 0.4679, + "step": 4672 + }, + { + "epoch": 0.63, + "learning_rate": 3.2136801287729503e-06, + "loss": 0.4817, + "step": 4673 + }, + { + "epoch": 0.63, + "learning_rate": 3.211647981607449e-06, + "loss": 0.4663, + "step": 4674 + }, + { + "epoch": 0.63, + "learning_rate": 3.2096161731290546e-06, + "loss": 0.4801, + "step": 4675 + }, + { + "epoch": 0.63, + "learning_rate": 3.207584703722562e-06, + "loss": 0.4309, + "step": 4676 + }, + { + "epoch": 0.63, + "learning_rate": 3.2055535737726993e-06, + "loss": 0.4826, + "step": 4677 + }, + { + "epoch": 0.63, + "learning_rate": 3.203522783664133e-06, + "loss": 0.524, + "step": 4678 + }, + { + "epoch": 0.63, + "learning_rate": 3.201492333781465e-06, + "loss": 0.4934, + "step": 4679 + }, + { + "epoch": 0.63, + "learning_rate": 3.199462224509231e-06, + "loss": 0.4763, + "step": 4680 + }, + { + "epoch": 0.63, + "learning_rate": 3.1974324562319037e-06, + "loss": 0.4763, + "step": 4681 + }, + { + "epoch": 0.63, + "learning_rate": 3.1954030293338917e-06, + "loss": 0.5018, + "step": 4682 + }, + { + "epoch": 0.63, + "learning_rate": 3.193373944199536e-06, + "loss": 0.4607, + "step": 4683 + }, + { + "epoch": 0.63, + "learning_rate": 3.1913452012131175e-06, + "loss": 0.4403, + "step": 4684 + }, + { + "epoch": 0.63, + "learning_rate": 3.189316800758848e-06, + "loss": 0.4798, + "step": 4685 + }, + { + "epoch": 0.63, + "learning_rate": 3.187288743220876e-06, + "loss": 0.4711, + "step": 4686 + }, + { + "epoch": 0.63, + "learning_rate": 3.1852610289832874e-06, + "loss": 0.4528, + "step": 4687 + }, + { + "epoch": 0.63, + "learning_rate": 3.183233658430098e-06, + "loss": 0.4267, + "step": 4688 + }, + { + "epoch": 0.63, + "learning_rate": 3.1812066319452627e-06, + "loss": 0.4788, + "step": 4689 + }, + { + "epoch": 0.63, + "learning_rate": 3.179179949912673e-06, + "loss": 0.445, + "step": 4690 + }, + { + "epoch": 0.63, + "learning_rate": 3.177153612716146e-06, + "loss": 0.4427, + "step": 4691 + }, + { + "epoch": 0.63, + "learning_rate": 3.1751276207394442e-06, + "loss": 0.4772, + "step": 4692 + }, + { + "epoch": 0.63, + "learning_rate": 3.1731019743662603e-06, + "loss": 0.4282, + "step": 4693 + }, + { + "epoch": 0.63, + "learning_rate": 3.1710766739802174e-06, + "loss": 0.4625, + "step": 4694 + }, + { + "epoch": 0.63, + "learning_rate": 3.169051719964881e-06, + "loss": 0.4626, + "step": 4695 + }, + { + "epoch": 0.63, + "learning_rate": 3.167027112703747e-06, + "loss": 0.5125, + "step": 4696 + }, + { + "epoch": 0.63, + "learning_rate": 3.1650028525802425e-06, + "loss": 0.4985, + "step": 4697 + }, + { + "epoch": 0.63, + "learning_rate": 3.1629789399777343e-06, + "loss": 0.4952, + "step": 4698 + }, + { + "epoch": 0.63, + "learning_rate": 3.160955375279523e-06, + "loss": 0.4969, + "step": 4699 + }, + { + "epoch": 0.63, + "learning_rate": 3.158932158868837e-06, + "loss": 0.4574, + "step": 4700 + }, + { + "epoch": 0.63, + "learning_rate": 3.1569092911288457e-06, + "loss": 0.4521, + "step": 4701 + }, + { + "epoch": 0.63, + "learning_rate": 3.1548867724426526e-06, + "loss": 0.4567, + "step": 4702 + }, + { + "epoch": 0.63, + "learning_rate": 3.1528646031932865e-06, + "loss": 0.4632, + "step": 4703 + }, + { + "epoch": 0.63, + "learning_rate": 3.15084278376372e-06, + "loss": 0.4585, + "step": 4704 + }, + { + "epoch": 0.63, + "learning_rate": 3.1488213145368574e-06, + "loss": 0.4631, + "step": 4705 + }, + { + "epoch": 0.63, + "learning_rate": 3.1468001958955286e-06, + "loss": 0.4789, + "step": 4706 + }, + { + "epoch": 0.63, + "learning_rate": 3.14477942822251e-06, + "loss": 0.4673, + "step": 4707 + }, + { + "epoch": 0.63, + "learning_rate": 3.1427590119004984e-06, + "loss": 0.4664, + "step": 4708 + }, + { + "epoch": 0.63, + "learning_rate": 3.140738947312133e-06, + "loss": 0.4846, + "step": 4709 + }, + { + "epoch": 0.63, + "learning_rate": 3.1387192348399876e-06, + "loss": 0.5049, + "step": 4710 + }, + { + "epoch": 0.63, + "learning_rate": 3.136699874866559e-06, + "loss": 0.4818, + "step": 4711 + }, + { + "epoch": 0.63, + "learning_rate": 3.1346808677742868e-06, + "loss": 0.4785, + "step": 4712 + }, + { + "epoch": 0.63, + "learning_rate": 3.132662213945543e-06, + "loss": 0.4901, + "step": 4713 + }, + { + "epoch": 0.63, + "learning_rate": 3.130643913762627e-06, + "loss": 0.4626, + "step": 4714 + }, + { + "epoch": 0.63, + "learning_rate": 3.1286259676077756e-06, + "loss": 0.477, + "step": 4715 + }, + { + "epoch": 0.63, + "learning_rate": 3.1266083758631594e-06, + "loss": 0.4846, + "step": 4716 + }, + { + "epoch": 0.63, + "learning_rate": 3.1245911389108763e-06, + "loss": 0.4721, + "step": 4717 + }, + { + "epoch": 0.63, + "learning_rate": 3.1225742571329643e-06, + "loss": 0.483, + "step": 4718 + }, + { + "epoch": 0.63, + "learning_rate": 3.1205577309113892e-06, + "loss": 0.499, + "step": 4719 + }, + { + "epoch": 0.63, + "learning_rate": 3.1185415606280506e-06, + "loss": 0.4654, + "step": 4720 + }, + { + "epoch": 0.63, + "learning_rate": 3.1165257466647813e-06, + "loss": 0.451, + "step": 4721 + }, + { + "epoch": 0.63, + "learning_rate": 3.1145102894033473e-06, + "loss": 0.421, + "step": 4722 + }, + { + "epoch": 0.63, + "learning_rate": 3.1124951892254447e-06, + "loss": 0.4655, + "step": 4723 + }, + { + "epoch": 0.63, + "learning_rate": 3.1104804465127032e-06, + "loss": 0.4886, + "step": 4724 + }, + { + "epoch": 0.63, + "learning_rate": 3.1084660616466868e-06, + "loss": 0.5001, + "step": 4725 + }, + { + "epoch": 0.63, + "learning_rate": 3.106452035008887e-06, + "loss": 0.4947, + "step": 4726 + }, + { + "epoch": 0.64, + "learning_rate": 3.104438366980732e-06, + "loss": 0.4472, + "step": 4727 + }, + { + "epoch": 0.64, + "learning_rate": 3.1024250579435823e-06, + "loss": 0.4722, + "step": 4728 + }, + { + "epoch": 0.64, + "learning_rate": 3.100412108278724e-06, + "loss": 0.456, + "step": 4729 + }, + { + "epoch": 0.64, + "learning_rate": 3.0983995183673828e-06, + "loss": 0.4999, + "step": 4730 + }, + { + "epoch": 0.64, + "learning_rate": 3.0963872885907133e-06, + "loss": 0.4957, + "step": 4731 + }, + { + "epoch": 0.64, + "learning_rate": 3.0943754193297993e-06, + "loss": 0.4531, + "step": 4732 + }, + { + "epoch": 0.64, + "learning_rate": 3.092363910965661e-06, + "loss": 0.4725, + "step": 4733 + }, + { + "epoch": 0.64, + "learning_rate": 3.090352763879247e-06, + "loss": 0.4838, + "step": 4734 + }, + { + "epoch": 0.64, + "learning_rate": 3.088341978451438e-06, + "loss": 0.4691, + "step": 4735 + }, + { + "epoch": 0.64, + "learning_rate": 3.0863315550630487e-06, + "loss": 0.4408, + "step": 4736 + }, + { + "epoch": 0.64, + "learning_rate": 3.0843214940948208e-06, + "loss": 0.4626, + "step": 4737 + }, + { + "epoch": 0.64, + "learning_rate": 3.08231179592743e-06, + "loss": 0.4881, + "step": 4738 + }, + { + "epoch": 0.64, + "learning_rate": 3.0803024609414856e-06, + "loss": 0.4641, + "step": 4739 + }, + { + "epoch": 0.64, + "learning_rate": 3.078293489517522e-06, + "loss": 0.4648, + "step": 4740 + }, + { + "epoch": 0.64, + "learning_rate": 3.0762848820360113e-06, + "loss": 0.4856, + "step": 4741 + }, + { + "epoch": 0.64, + "learning_rate": 3.0742766388773526e-06, + "loss": 0.4789, + "step": 4742 + }, + { + "epoch": 0.64, + "learning_rate": 3.0722687604218757e-06, + "loss": 0.4752, + "step": 4743 + }, + { + "epoch": 0.64, + "learning_rate": 3.070261247049845e-06, + "loss": 0.4735, + "step": 4744 + }, + { + "epoch": 0.64, + "learning_rate": 3.068254099141453e-06, + "loss": 0.4778, + "step": 4745 + }, + { + "epoch": 0.64, + "learning_rate": 3.066247317076822e-06, + "loss": 0.4642, + "step": 4746 + }, + { + "epoch": 0.64, + "learning_rate": 3.0642409012360074e-06, + "loss": 0.4492, + "step": 4747 + }, + { + "epoch": 0.64, + "learning_rate": 3.0622348519989957e-06, + "loss": 0.4591, + "step": 4748 + }, + { + "epoch": 0.64, + "learning_rate": 3.0602291697457e-06, + "loss": 0.4661, + "step": 4749 + }, + { + "epoch": 0.64, + "learning_rate": 3.0582238548559684e-06, + "loss": 0.4826, + "step": 4750 + }, + { + "epoch": 0.64, + "learning_rate": 3.056218907709577e-06, + "loss": 0.4254, + "step": 4751 + }, + { + "epoch": 0.64, + "learning_rate": 3.0542143286862324e-06, + "loss": 0.4784, + "step": 4752 + }, + { + "epoch": 0.64, + "learning_rate": 3.0522101181655715e-06, + "loss": 0.4697, + "step": 4753 + }, + { + "epoch": 0.64, + "learning_rate": 3.0502062765271644e-06, + "loss": 0.4641, + "step": 4754 + }, + { + "epoch": 0.64, + "learning_rate": 3.0482028041505054e-06, + "loss": 0.4678, + "step": 4755 + }, + { + "epoch": 0.64, + "learning_rate": 3.046199701415023e-06, + "loss": 0.4738, + "step": 4756 + }, + { + "epoch": 0.64, + "learning_rate": 3.044196968700077e-06, + "loss": 0.4493, + "step": 4757 + }, + { + "epoch": 0.64, + "learning_rate": 3.0421946063849515e-06, + "loss": 0.4652, + "step": 4758 + }, + { + "epoch": 0.64, + "learning_rate": 3.040192614848869e-06, + "loss": 0.5046, + "step": 4759 + }, + { + "epoch": 0.64, + "learning_rate": 3.0381909944709708e-06, + "loss": 0.4858, + "step": 4760 + }, + { + "epoch": 0.64, + "learning_rate": 3.0361897456303367e-06, + "loss": 0.4535, + "step": 4761 + }, + { + "epoch": 0.64, + "learning_rate": 3.034188868705976e-06, + "loss": 0.4814, + "step": 4762 + }, + { + "epoch": 0.64, + "learning_rate": 3.032188364076819e-06, + "loss": 0.4602, + "step": 4763 + }, + { + "epoch": 0.64, + "learning_rate": 3.0301882321217346e-06, + "loss": 0.4618, + "step": 4764 + }, + { + "epoch": 0.64, + "learning_rate": 3.0281884732195205e-06, + "loss": 0.4806, + "step": 4765 + }, + { + "epoch": 0.64, + "learning_rate": 3.0261890877488964e-06, + "loss": 0.4868, + "step": 4766 + }, + { + "epoch": 0.64, + "learning_rate": 3.0241900760885164e-06, + "loss": 0.4824, + "step": 4767 + }, + { + "epoch": 0.64, + "learning_rate": 3.0221914386169683e-06, + "loss": 0.5062, + "step": 4768 + }, + { + "epoch": 0.64, + "learning_rate": 3.0201931757127577e-06, + "loss": 0.5189, + "step": 4769 + }, + { + "epoch": 0.64, + "learning_rate": 3.0181952877543287e-06, + "loss": 0.4598, + "step": 4770 + }, + { + "epoch": 0.64, + "learning_rate": 3.016197775120054e-06, + "loss": 0.4764, + "step": 4771 + }, + { + "epoch": 0.64, + "learning_rate": 3.0142006381882275e-06, + "loss": 0.4526, + "step": 4772 + }, + { + "epoch": 0.64, + "learning_rate": 3.0122038773370794e-06, + "loss": 0.4744, + "step": 4773 + }, + { + "epoch": 0.64, + "learning_rate": 3.0102074929447688e-06, + "loss": 0.4614, + "step": 4774 + }, + { + "epoch": 0.64, + "learning_rate": 3.0082114853893767e-06, + "loss": 0.442, + "step": 4775 + }, + { + "epoch": 0.64, + "learning_rate": 3.0062158550489184e-06, + "loss": 0.4779, + "step": 4776 + }, + { + "epoch": 0.64, + "learning_rate": 3.00422060230134e-06, + "loss": 0.4379, + "step": 4777 + }, + { + "epoch": 0.64, + "learning_rate": 3.002225727524507e-06, + "loss": 0.5106, + "step": 4778 + }, + { + "epoch": 0.64, + "learning_rate": 3.00023123109622e-06, + "loss": 0.4972, + "step": 4779 + }, + { + "epoch": 0.64, + "learning_rate": 2.998237113394212e-06, + "loss": 0.4772, + "step": 4780 + }, + { + "epoch": 0.64, + "learning_rate": 2.996243374796133e-06, + "loss": 0.4685, + "step": 4781 + }, + { + "epoch": 0.64, + "learning_rate": 2.9942500156795677e-06, + "loss": 0.503, + "step": 4782 + }, + { + "epoch": 0.64, + "learning_rate": 2.992257036422034e-06, + "loss": 0.4635, + "step": 4783 + }, + { + "epoch": 0.64, + "learning_rate": 2.990264437400966e-06, + "loss": 0.4818, + "step": 4784 + }, + { + "epoch": 0.64, + "learning_rate": 2.988272218993736e-06, + "loss": 0.468, + "step": 4785 + }, + { + "epoch": 0.64, + "learning_rate": 2.9862803815776388e-06, + "loss": 0.4983, + "step": 4786 + }, + { + "epoch": 0.64, + "learning_rate": 2.984288925529898e-06, + "loss": 0.4963, + "step": 4787 + }, + { + "epoch": 0.64, + "learning_rate": 2.982297851227667e-06, + "loss": 0.4811, + "step": 4788 + }, + { + "epoch": 0.64, + "learning_rate": 2.980307159048024e-06, + "loss": 0.4795, + "step": 4789 + }, + { + "epoch": 0.64, + "learning_rate": 2.9783168493679777e-06, + "loss": 0.4806, + "step": 4790 + }, + { + "epoch": 0.64, + "learning_rate": 2.976326922564463e-06, + "loss": 0.469, + "step": 4791 + }, + { + "epoch": 0.64, + "learning_rate": 2.974337379014341e-06, + "loss": 0.4709, + "step": 4792 + }, + { + "epoch": 0.64, + "learning_rate": 2.972348219094402e-06, + "loss": 0.4935, + "step": 4793 + }, + { + "epoch": 0.64, + "learning_rate": 2.970359443181364e-06, + "loss": 0.4845, + "step": 4794 + }, + { + "epoch": 0.64, + "learning_rate": 2.9683710516518706e-06, + "loss": 0.4756, + "step": 4795 + }, + { + "epoch": 0.64, + "learning_rate": 2.9663830448824927e-06, + "loss": 0.4778, + "step": 4796 + }, + { + "epoch": 0.64, + "learning_rate": 2.9643954232497307e-06, + "loss": 0.4521, + "step": 4797 + }, + { + "epoch": 0.64, + "learning_rate": 2.9624081871300093e-06, + "loss": 0.4918, + "step": 4798 + }, + { + "epoch": 0.64, + "learning_rate": 2.9604213368996802e-06, + "loss": 0.4964, + "step": 4799 + }, + { + "epoch": 0.64, + "learning_rate": 2.9584348729350263e-06, + "loss": 0.4604, + "step": 4800 + }, + { + "epoch": 0.65, + "learning_rate": 2.9564487956122514e-06, + "loss": 0.4872, + "step": 4801 + }, + { + "epoch": 0.65, + "learning_rate": 2.954463105307489e-06, + "loss": 0.4755, + "step": 4802 + }, + { + "epoch": 0.65, + "learning_rate": 2.952477802396801e-06, + "loss": 0.4766, + "step": 4803 + }, + { + "epoch": 0.65, + "learning_rate": 2.9504928872561717e-06, + "loss": 0.496, + "step": 4804 + }, + { + "epoch": 0.65, + "learning_rate": 2.948508360261515e-06, + "loss": 0.4854, + "step": 4805 + }, + { + "epoch": 0.65, + "learning_rate": 2.946524221788673e-06, + "loss": 0.5181, + "step": 4806 + }, + { + "epoch": 0.65, + "learning_rate": 2.9445404722134085e-06, + "loss": 0.5047, + "step": 4807 + }, + { + "epoch": 0.65, + "learning_rate": 2.942557111911415e-06, + "loss": 0.4786, + "step": 4808 + }, + { + "epoch": 0.65, + "learning_rate": 2.9405741412583132e-06, + "loss": 0.5068, + "step": 4809 + }, + { + "epoch": 0.65, + "learning_rate": 2.9385915606296445e-06, + "loss": 0.4552, + "step": 4810 + }, + { + "epoch": 0.65, + "learning_rate": 2.9366093704008836e-06, + "loss": 0.4831, + "step": 4811 + }, + { + "epoch": 0.65, + "learning_rate": 2.9346275709474255e-06, + "loss": 0.5078, + "step": 4812 + }, + { + "epoch": 0.65, + "learning_rate": 2.9326461626445934e-06, + "loss": 0.4705, + "step": 4813 + }, + { + "epoch": 0.65, + "learning_rate": 2.9306651458676377e-06, + "loss": 0.4921, + "step": 4814 + }, + { + "epoch": 0.65, + "learning_rate": 2.9286845209917313e-06, + "loss": 0.4447, + "step": 4815 + }, + { + "epoch": 0.65, + "learning_rate": 2.9267042883919774e-06, + "loss": 0.45, + "step": 4816 + }, + { + "epoch": 0.65, + "learning_rate": 2.9247244484434013e-06, + "loss": 0.483, + "step": 4817 + }, + { + "epoch": 0.65, + "learning_rate": 2.9227450015209537e-06, + "loss": 0.4977, + "step": 4818 + }, + { + "epoch": 0.65, + "learning_rate": 2.920765947999513e-06, + "loss": 0.4699, + "step": 4819 + }, + { + "epoch": 0.65, + "learning_rate": 2.9187872882538854e-06, + "loss": 0.4757, + "step": 4820 + }, + { + "epoch": 0.65, + "learning_rate": 2.9168090226587944e-06, + "loss": 0.4714, + "step": 4821 + }, + { + "epoch": 0.65, + "learning_rate": 2.914831151588896e-06, + "loss": 0.4917, + "step": 4822 + }, + { + "epoch": 0.65, + "learning_rate": 2.9128536754187704e-06, + "loss": 0.4548, + "step": 4823 + }, + { + "epoch": 0.65, + "learning_rate": 2.9108765945229213e-06, + "loss": 0.5199, + "step": 4824 + }, + { + "epoch": 0.65, + "learning_rate": 2.9088999092757776e-06, + "loss": 0.4459, + "step": 4825 + }, + { + "epoch": 0.65, + "learning_rate": 2.906923620051696e-06, + "loss": 0.4904, + "step": 4826 + }, + { + "epoch": 0.65, + "learning_rate": 2.9049477272249533e-06, + "loss": 0.4641, + "step": 4827 + }, + { + "epoch": 0.65, + "learning_rate": 2.902972231169755e-06, + "loss": 0.4285, + "step": 4828 + }, + { + "epoch": 0.65, + "learning_rate": 2.900997132260231e-06, + "loss": 0.4968, + "step": 4829 + }, + { + "epoch": 0.65, + "learning_rate": 2.899022430870435e-06, + "loss": 0.4543, + "step": 4830 + }, + { + "epoch": 0.65, + "learning_rate": 2.897048127374347e-06, + "loss": 0.4843, + "step": 4831 + }, + { + "epoch": 0.65, + "learning_rate": 2.8950742221458704e-06, + "loss": 0.4429, + "step": 4832 + }, + { + "epoch": 0.65, + "learning_rate": 2.893100715558831e-06, + "loss": 0.4765, + "step": 4833 + }, + { + "epoch": 0.65, + "learning_rate": 2.891127607986983e-06, + "loss": 0.5, + "step": 4834 + }, + { + "epoch": 0.65, + "learning_rate": 2.8891548998040035e-06, + "loss": 0.5003, + "step": 4835 + }, + { + "epoch": 0.65, + "learning_rate": 2.887182591383494e-06, + "loss": 0.4963, + "step": 4836 + }, + { + "epoch": 0.65, + "learning_rate": 2.885210683098982e-06, + "loss": 0.4345, + "step": 4837 + }, + { + "epoch": 0.65, + "learning_rate": 2.883239175323913e-06, + "loss": 0.4359, + "step": 4838 + }, + { + "epoch": 0.65, + "learning_rate": 2.881268068431664e-06, + "loss": 0.4918, + "step": 4839 + }, + { + "epoch": 0.65, + "learning_rate": 2.879297362795532e-06, + "loss": 0.4502, + "step": 4840 + }, + { + "epoch": 0.65, + "learning_rate": 2.8773270587887402e-06, + "loss": 0.473, + "step": 4841 + }, + { + "epoch": 0.65, + "learning_rate": 2.8753571567844347e-06, + "loss": 0.4716, + "step": 4842 + }, + { + "epoch": 0.65, + "learning_rate": 2.8733876571556867e-06, + "loss": 0.4998, + "step": 4843 + }, + { + "epoch": 0.65, + "learning_rate": 2.871418560275486e-06, + "loss": 0.4503, + "step": 4844 + }, + { + "epoch": 0.65, + "learning_rate": 2.869449866516753e-06, + "loss": 0.4953, + "step": 4845 + }, + { + "epoch": 0.65, + "learning_rate": 2.867481576252328e-06, + "loss": 0.4542, + "step": 4846 + }, + { + "epoch": 0.65, + "learning_rate": 2.8655136898549763e-06, + "loss": 0.4653, + "step": 4847 + }, + { + "epoch": 0.65, + "learning_rate": 2.8635462076973853e-06, + "loss": 0.4562, + "step": 4848 + }, + { + "epoch": 0.65, + "learning_rate": 2.8615791301521688e-06, + "loss": 0.4746, + "step": 4849 + }, + { + "epoch": 0.65, + "learning_rate": 2.8596124575918586e-06, + "loss": 0.4811, + "step": 4850 + }, + { + "epoch": 0.65, + "learning_rate": 2.8576461903889148e-06, + "loss": 0.4767, + "step": 4851 + }, + { + "epoch": 0.65, + "learning_rate": 2.8556803289157187e-06, + "loss": 0.4756, + "step": 4852 + }, + { + "epoch": 0.65, + "learning_rate": 2.8537148735445752e-06, + "loss": 0.4811, + "step": 4853 + }, + { + "epoch": 0.65, + "learning_rate": 2.8517498246477117e-06, + "loss": 0.4752, + "step": 4854 + }, + { + "epoch": 0.65, + "learning_rate": 2.8497851825972815e-06, + "loss": 0.4678, + "step": 4855 + }, + { + "epoch": 0.65, + "learning_rate": 2.847820947765355e-06, + "loss": 0.4707, + "step": 4856 + }, + { + "epoch": 0.65, + "learning_rate": 2.8458571205239293e-06, + "loss": 0.4775, + "step": 4857 + }, + { + "epoch": 0.65, + "learning_rate": 2.8438937012449275e-06, + "loss": 0.4791, + "step": 4858 + }, + { + "epoch": 0.65, + "learning_rate": 2.8419306903001855e-06, + "loss": 0.4758, + "step": 4859 + }, + { + "epoch": 0.65, + "learning_rate": 2.8399680880614728e-06, + "loss": 0.4682, + "step": 4860 + }, + { + "epoch": 0.65, + "learning_rate": 2.8380058949004784e-06, + "loss": 0.4814, + "step": 4861 + }, + { + "epoch": 0.65, + "learning_rate": 2.8360441111888084e-06, + "loss": 0.4769, + "step": 4862 + }, + { + "epoch": 0.65, + "learning_rate": 2.8340827372979973e-06, + "loss": 0.4823, + "step": 4863 + }, + { + "epoch": 0.65, + "learning_rate": 2.8321217735994986e-06, + "loss": 0.4538, + "step": 4864 + }, + { + "epoch": 0.65, + "learning_rate": 2.8301612204646877e-06, + "loss": 0.4725, + "step": 4865 + }, + { + "epoch": 0.65, + "learning_rate": 2.8282010782648704e-06, + "loss": 0.4843, + "step": 4866 + }, + { + "epoch": 0.65, + "learning_rate": 2.826241347371263e-06, + "loss": 0.478, + "step": 4867 + }, + { + "epoch": 0.65, + "learning_rate": 2.8242820281550102e-06, + "loss": 0.4687, + "step": 4868 + }, + { + "epoch": 0.65, + "learning_rate": 2.8223231209871806e-06, + "loss": 0.4931, + "step": 4869 + }, + { + "epoch": 0.65, + "learning_rate": 2.8203646262387573e-06, + "loss": 0.5087, + "step": 4870 + }, + { + "epoch": 0.65, + "learning_rate": 2.8184065442806504e-06, + "loss": 0.4778, + "step": 4871 + }, + { + "epoch": 0.65, + "learning_rate": 2.8164488754836967e-06, + "loss": 0.4658, + "step": 4872 + }, + { + "epoch": 0.65, + "learning_rate": 2.8144916202186433e-06, + "loss": 0.5046, + "step": 4873 + }, + { + "epoch": 0.65, + "learning_rate": 2.812534778856168e-06, + "loss": 0.468, + "step": 4874 + }, + { + "epoch": 0.65, + "learning_rate": 2.8105783517668682e-06, + "loss": 0.4409, + "step": 4875 + }, + { + "epoch": 0.66, + "learning_rate": 2.808622339321259e-06, + "loss": 0.4704, + "step": 4876 + }, + { + "epoch": 0.66, + "learning_rate": 2.806666741889779e-06, + "loss": 0.4845, + "step": 4877 + }, + { + "epoch": 0.66, + "learning_rate": 2.8047115598427954e-06, + "loss": 0.4529, + "step": 4878 + }, + { + "epoch": 0.66, + "learning_rate": 2.8027567935505845e-06, + "loss": 0.4727, + "step": 4879 + }, + { + "epoch": 0.66, + "learning_rate": 2.8008024433833514e-06, + "loss": 0.468, + "step": 4880 + }, + { + "epoch": 0.66, + "learning_rate": 2.7988485097112234e-06, + "loss": 0.4861, + "step": 4881 + }, + { + "epoch": 0.66, + "learning_rate": 2.7968949929042414e-06, + "loss": 0.467, + "step": 4882 + }, + { + "epoch": 0.66, + "learning_rate": 2.7949418933323757e-06, + "loss": 0.496, + "step": 4883 + }, + { + "epoch": 0.66, + "learning_rate": 2.792989211365512e-06, + "loss": 0.4524, + "step": 4884 + }, + { + "epoch": 0.66, + "learning_rate": 2.791036947373461e-06, + "loss": 0.4565, + "step": 4885 + }, + { + "epoch": 0.66, + "learning_rate": 2.789085101725952e-06, + "loss": 0.4757, + "step": 4886 + }, + { + "epoch": 0.66, + "learning_rate": 2.787133674792636e-06, + "loss": 0.5051, + "step": 4887 + }, + { + "epoch": 0.66, + "learning_rate": 2.7851826669430814e-06, + "loss": 0.5012, + "step": 4888 + }, + { + "epoch": 0.66, + "learning_rate": 2.7832320785467814e-06, + "loss": 0.4847, + "step": 4889 + }, + { + "epoch": 0.66, + "learning_rate": 2.781281909973148e-06, + "loss": 0.4632, + "step": 4890 + }, + { + "epoch": 0.66, + "learning_rate": 2.7793321615915143e-06, + "loss": 0.4823, + "step": 4891 + }, + { + "epoch": 0.66, + "learning_rate": 2.777382833771135e-06, + "loss": 0.4768, + "step": 4892 + }, + { + "epoch": 0.66, + "learning_rate": 2.775433926881181e-06, + "loss": 0.4608, + "step": 4893 + }, + { + "epoch": 0.66, + "learning_rate": 2.7734854412907464e-06, + "loss": 0.4882, + "step": 4894 + }, + { + "epoch": 0.66, + "learning_rate": 2.771537377368846e-06, + "loss": 0.4698, + "step": 4895 + }, + { + "epoch": 0.66, + "learning_rate": 2.7695897354844138e-06, + "loss": 0.4534, + "step": 4896 + }, + { + "epoch": 0.66, + "learning_rate": 2.767642516006304e-06, + "loss": 0.498, + "step": 4897 + }, + { + "epoch": 0.66, + "learning_rate": 2.765695719303293e-06, + "loss": 0.489, + "step": 4898 + }, + { + "epoch": 0.66, + "learning_rate": 2.763749345744071e-06, + "loss": 0.4597, + "step": 4899 + }, + { + "epoch": 0.66, + "learning_rate": 2.761803395697254e-06, + "loss": 0.4721, + "step": 4900 + }, + { + "epoch": 0.66, + "learning_rate": 2.7598578695313755e-06, + "loss": 0.4999, + "step": 4901 + }, + { + "epoch": 0.66, + "learning_rate": 2.7579127676148893e-06, + "loss": 0.4578, + "step": 4902 + }, + { + "epoch": 0.66, + "learning_rate": 2.755968090316168e-06, + "loss": 0.4912, + "step": 4903 + }, + { + "epoch": 0.66, + "learning_rate": 2.7540238380035077e-06, + "loss": 0.4766, + "step": 4904 + }, + { + "epoch": 0.66, + "learning_rate": 2.752080011045115e-06, + "loss": 0.4872, + "step": 4905 + }, + { + "epoch": 0.66, + "learning_rate": 2.7501366098091255e-06, + "loss": 0.4877, + "step": 4906 + }, + { + "epoch": 0.66, + "learning_rate": 2.748193634663589e-06, + "loss": 0.4615, + "step": 4907 + }, + { + "epoch": 0.66, + "learning_rate": 2.746251085976476e-06, + "loss": 0.4861, + "step": 4908 + }, + { + "epoch": 0.66, + "learning_rate": 2.7443089641156764e-06, + "loss": 0.4534, + "step": 4909 + }, + { + "epoch": 0.66, + "learning_rate": 2.742367269449001e-06, + "loss": 0.4641, + "step": 4910 + }, + { + "epoch": 0.66, + "learning_rate": 2.740426002344174e-06, + "loss": 0.4345, + "step": 4911 + }, + { + "epoch": 0.66, + "learning_rate": 2.7384851631688435e-06, + "loss": 0.487, + "step": 4912 + }, + { + "epoch": 0.66, + "learning_rate": 2.7365447522905765e-06, + "loss": 0.4858, + "step": 4913 + }, + { + "epoch": 0.66, + "learning_rate": 2.7346047700768574e-06, + "loss": 0.4845, + "step": 4914 + }, + { + "epoch": 0.66, + "learning_rate": 2.7326652168950908e-06, + "loss": 0.4677, + "step": 4915 + }, + { + "epoch": 0.66, + "learning_rate": 2.7307260931125966e-06, + "loss": 0.4464, + "step": 4916 + }, + { + "epoch": 0.66, + "learning_rate": 2.728787399096616e-06, + "loss": 0.494, + "step": 4917 + }, + { + "epoch": 0.66, + "learning_rate": 2.7268491352143132e-06, + "loss": 0.4577, + "step": 4918 + }, + { + "epoch": 0.66, + "learning_rate": 2.7249113018327577e-06, + "loss": 0.4687, + "step": 4919 + }, + { + "epoch": 0.66, + "learning_rate": 2.7229738993189544e-06, + "loss": 0.4736, + "step": 4920 + }, + { + "epoch": 0.66, + "learning_rate": 2.7210369280398165e-06, + "loss": 0.4843, + "step": 4921 + }, + { + "epoch": 0.66, + "learning_rate": 2.719100388362174e-06, + "loss": 0.4765, + "step": 4922 + }, + { + "epoch": 0.66, + "learning_rate": 2.717164280652781e-06, + "loss": 0.4958, + "step": 4923 + }, + { + "epoch": 0.66, + "learning_rate": 2.7152286052783094e-06, + "loss": 0.4423, + "step": 4924 + }, + { + "epoch": 0.66, + "learning_rate": 2.7132933626053403e-06, + "loss": 0.4913, + "step": 4925 + }, + { + "epoch": 0.66, + "learning_rate": 2.711358553000386e-06, + "loss": 0.4684, + "step": 4926 + }, + { + "epoch": 0.66, + "learning_rate": 2.7094241768298702e-06, + "loss": 0.4795, + "step": 4927 + }, + { + "epoch": 0.66, + "learning_rate": 2.707490234460132e-06, + "loss": 0.4959, + "step": 4928 + }, + { + "epoch": 0.66, + "learning_rate": 2.7055567262574323e-06, + "loss": 0.4652, + "step": 4929 + }, + { + "epoch": 0.66, + "learning_rate": 2.70362365258795e-06, + "loss": 0.4987, + "step": 4930 + }, + { + "epoch": 0.66, + "learning_rate": 2.7016910138177754e-06, + "loss": 0.4682, + "step": 4931 + }, + { + "epoch": 0.66, + "learning_rate": 2.6997588103129273e-06, + "loss": 0.4813, + "step": 4932 + }, + { + "epoch": 0.66, + "learning_rate": 2.6978270424393355e-06, + "loss": 0.4781, + "step": 4933 + }, + { + "epoch": 0.66, + "learning_rate": 2.6958957105628443e-06, + "loss": 0.5024, + "step": 4934 + }, + { + "epoch": 0.66, + "learning_rate": 2.6939648150492206e-06, + "loss": 0.4996, + "step": 4935 + }, + { + "epoch": 0.66, + "learning_rate": 2.6920343562641493e-06, + "loss": 0.4842, + "step": 4936 + }, + { + "epoch": 0.66, + "learning_rate": 2.690104334573227e-06, + "loss": 0.4533, + "step": 4937 + }, + { + "epoch": 0.66, + "learning_rate": 2.688174750341971e-06, + "loss": 0.5215, + "step": 4938 + }, + { + "epoch": 0.66, + "learning_rate": 2.68624560393582e-06, + "loss": 0.4634, + "step": 4939 + }, + { + "epoch": 0.66, + "learning_rate": 2.6843168957201214e-06, + "loss": 0.4634, + "step": 4940 + }, + { + "epoch": 0.66, + "learning_rate": 2.682388626060146e-06, + "loss": 0.483, + "step": 4941 + }, + { + "epoch": 0.66, + "learning_rate": 2.680460795321077e-06, + "loss": 0.4697, + "step": 4942 + }, + { + "epoch": 0.66, + "learning_rate": 2.6785334038680178e-06, + "loss": 0.4476, + "step": 4943 + }, + { + "epoch": 0.66, + "learning_rate": 2.6766064520659873e-06, + "loss": 0.4472, + "step": 4944 + }, + { + "epoch": 0.66, + "learning_rate": 2.6746799402799207e-06, + "loss": 0.4576, + "step": 4945 + }, + { + "epoch": 0.66, + "learning_rate": 2.6727538688746725e-06, + "loss": 0.4636, + "step": 4946 + }, + { + "epoch": 0.66, + "learning_rate": 2.6708282382150118e-06, + "loss": 0.4348, + "step": 4947 + }, + { + "epoch": 0.66, + "learning_rate": 2.6689030486656214e-06, + "loss": 0.4653, + "step": 4948 + }, + { + "epoch": 0.66, + "learning_rate": 2.666978300591105e-06, + "loss": 0.4713, + "step": 4949 + }, + { + "epoch": 0.67, + "learning_rate": 2.665053994355981e-06, + "loss": 0.4658, + "step": 4950 + }, + { + "epoch": 0.67, + "learning_rate": 2.6631301303246845e-06, + "loss": 0.481, + "step": 4951 + }, + { + "epoch": 0.67, + "learning_rate": 2.661206708861566e-06, + "loss": 0.4985, + "step": 4952 + }, + { + "epoch": 0.67, + "learning_rate": 2.659283730330895e-06, + "loss": 0.4563, + "step": 4953 + }, + { + "epoch": 0.67, + "learning_rate": 2.6573611950968516e-06, + "loss": 0.5041, + "step": 4954 + }, + { + "epoch": 0.67, + "learning_rate": 2.655439103523536e-06, + "loss": 0.4791, + "step": 4955 + }, + { + "epoch": 0.67, + "learning_rate": 2.6535174559749646e-06, + "loss": 0.4487, + "step": 4956 + }, + { + "epoch": 0.67, + "learning_rate": 2.6515962528150673e-06, + "loss": 0.4546, + "step": 4957 + }, + { + "epoch": 0.67, + "learning_rate": 2.649675494407693e-06, + "loss": 0.4529, + "step": 4958 + }, + { + "epoch": 0.67, + "learning_rate": 2.6477551811166058e-06, + "loss": 0.4857, + "step": 4959 + }, + { + "epoch": 0.67, + "learning_rate": 2.6458353133054797e-06, + "loss": 0.485, + "step": 4960 + }, + { + "epoch": 0.67, + "learning_rate": 2.6439158913379115e-06, + "loss": 0.4545, + "step": 4961 + }, + { + "epoch": 0.67, + "learning_rate": 2.641996915577411e-06, + "loss": 0.4532, + "step": 4962 + }, + { + "epoch": 0.67, + "learning_rate": 2.6400783863874037e-06, + "loss": 0.4811, + "step": 4963 + }, + { + "epoch": 0.67, + "learning_rate": 2.638160304131232e-06, + "loss": 0.4346, + "step": 4964 + }, + { + "epoch": 0.67, + "learning_rate": 2.6362426691721475e-06, + "loss": 0.5144, + "step": 4965 + }, + { + "epoch": 0.67, + "learning_rate": 2.6343254818733243e-06, + "loss": 0.4563, + "step": 4966 + }, + { + "epoch": 0.67, + "learning_rate": 2.6324087425978496e-06, + "loss": 0.4606, + "step": 4967 + }, + { + "epoch": 0.67, + "learning_rate": 2.6304924517087238e-06, + "loss": 0.475, + "step": 4968 + }, + { + "epoch": 0.67, + "learning_rate": 2.628576609568864e-06, + "loss": 0.4599, + "step": 4969 + }, + { + "epoch": 0.67, + "learning_rate": 2.626661216541104e-06, + "loss": 0.4482, + "step": 4970 + }, + { + "epoch": 0.67, + "learning_rate": 2.624746272988187e-06, + "loss": 0.482, + "step": 4971 + }, + { + "epoch": 0.67, + "learning_rate": 2.6228317792727762e-06, + "loss": 0.4924, + "step": 4972 + }, + { + "epoch": 0.67, + "learning_rate": 2.620917735757449e-06, + "loss": 0.485, + "step": 4973 + }, + { + "epoch": 0.67, + "learning_rate": 2.619004142804695e-06, + "loss": 0.4602, + "step": 4974 + }, + { + "epoch": 0.67, + "learning_rate": 2.617091000776922e-06, + "loss": 0.4408, + "step": 4975 + }, + { + "epoch": 0.67, + "learning_rate": 2.6151783100364506e-06, + "loss": 0.485, + "step": 4976 + }, + { + "epoch": 0.67, + "learning_rate": 2.6132660709455136e-06, + "loss": 0.4701, + "step": 4977 + }, + { + "epoch": 0.67, + "learning_rate": 2.611354283866261e-06, + "loss": 0.4652, + "step": 4978 + }, + { + "epoch": 0.67, + "learning_rate": 2.6094429491607565e-06, + "loss": 0.493, + "step": 4979 + }, + { + "epoch": 0.67, + "learning_rate": 2.6075320671909797e-06, + "loss": 0.4912, + "step": 4980 + }, + { + "epoch": 0.67, + "learning_rate": 2.605621638318823e-06, + "loss": 0.4515, + "step": 4981 + }, + { + "epoch": 0.67, + "learning_rate": 2.6037116629060926e-06, + "loss": 0.4228, + "step": 4982 + }, + { + "epoch": 0.67, + "learning_rate": 2.601802141314508e-06, + "loss": 0.4781, + "step": 4983 + }, + { + "epoch": 0.67, + "learning_rate": 2.599893073905705e-06, + "loss": 0.4962, + "step": 4984 + }, + { + "epoch": 0.67, + "learning_rate": 2.597984461041232e-06, + "loss": 0.5098, + "step": 4985 + }, + { + "epoch": 0.67, + "learning_rate": 2.596076303082552e-06, + "loss": 0.465, + "step": 4986 + }, + { + "epoch": 0.67, + "learning_rate": 2.5941686003910426e-06, + "loss": 0.481, + "step": 4987 + }, + { + "epoch": 0.67, + "learning_rate": 2.5922613533279945e-06, + "loss": 0.4674, + "step": 4988 + }, + { + "epoch": 0.67, + "learning_rate": 2.5903545622546083e-06, + "loss": 0.4806, + "step": 4989 + }, + { + "epoch": 0.67, + "learning_rate": 2.588448227532006e-06, + "loss": 0.4648, + "step": 4990 + }, + { + "epoch": 0.67, + "learning_rate": 2.586542349521215e-06, + "loss": 0.4519, + "step": 4991 + }, + { + "epoch": 0.67, + "learning_rate": 2.5846369285831796e-06, + "loss": 0.4539, + "step": 4992 + }, + { + "epoch": 0.67, + "learning_rate": 2.582731965078764e-06, + "loss": 0.4379, + "step": 4993 + }, + { + "epoch": 0.67, + "learning_rate": 2.5808274593687343e-06, + "loss": 0.4582, + "step": 4994 + }, + { + "epoch": 0.67, + "learning_rate": 2.5789234118137775e-06, + "loss": 0.4536, + "step": 4995 + }, + { + "epoch": 0.67, + "learning_rate": 2.5770198227744924e-06, + "loss": 0.4553, + "step": 4996 + }, + { + "epoch": 0.67, + "learning_rate": 2.575116692611387e-06, + "loss": 0.4586, + "step": 4997 + }, + { + "epoch": 0.67, + "learning_rate": 2.573214021684887e-06, + "loss": 0.4654, + "step": 4998 + }, + { + "epoch": 0.67, + "learning_rate": 2.571311810355333e-06, + "loss": 0.4931, + "step": 4999 + }, + { + "epoch": 0.67, + "learning_rate": 2.5694100589829718e-06, + "loss": 0.5083, + "step": 5000 + }, + { + "epoch": 0.67, + "learning_rate": 2.5675087679279675e-06, + "loss": 0.4828, + "step": 5001 + }, + { + "epoch": 0.67, + "learning_rate": 2.565607937550399e-06, + "loss": 0.5049, + "step": 5002 + }, + { + "epoch": 0.67, + "learning_rate": 2.56370756821025e-06, + "loss": 0.4542, + "step": 5003 + }, + { + "epoch": 0.67, + "learning_rate": 2.561807660267423e-06, + "loss": 0.4625, + "step": 5004 + }, + { + "epoch": 0.67, + "learning_rate": 2.5599082140817376e-06, + "loss": 0.4495, + "step": 5005 + }, + { + "epoch": 0.67, + "learning_rate": 2.5580092300129144e-06, + "loss": 0.4817, + "step": 5006 + }, + { + "epoch": 0.67, + "learning_rate": 2.556110708420595e-06, + "loss": 0.506, + "step": 5007 + }, + { + "epoch": 0.67, + "learning_rate": 2.5542126496643327e-06, + "loss": 0.4319, + "step": 5008 + }, + { + "epoch": 0.67, + "learning_rate": 2.5523150541035878e-06, + "loss": 0.4817, + "step": 5009 + }, + { + "epoch": 0.67, + "learning_rate": 2.5504179220977376e-06, + "loss": 0.4689, + "step": 5010 + }, + { + "epoch": 0.67, + "learning_rate": 2.548521254006071e-06, + "loss": 0.4666, + "step": 5011 + }, + { + "epoch": 0.67, + "learning_rate": 2.5466250501877897e-06, + "loss": 0.4663, + "step": 5012 + }, + { + "epoch": 0.67, + "learning_rate": 2.544729311002004e-06, + "loss": 0.4437, + "step": 5013 + }, + { + "epoch": 0.67, + "learning_rate": 2.5428340368077427e-06, + "loss": 0.4923, + "step": 5014 + }, + { + "epoch": 0.67, + "learning_rate": 2.540939227963937e-06, + "loss": 0.4581, + "step": 5015 + }, + { + "epoch": 0.67, + "learning_rate": 2.5390448848294375e-06, + "loss": 0.4732, + "step": 5016 + }, + { + "epoch": 0.67, + "learning_rate": 2.537151007763005e-06, + "loss": 0.4573, + "step": 5017 + }, + { + "epoch": 0.67, + "learning_rate": 2.5352575971233114e-06, + "loss": 0.4878, + "step": 5018 + }, + { + "epoch": 0.67, + "learning_rate": 2.5333646532689416e-06, + "loss": 0.515, + "step": 5019 + }, + { + "epoch": 0.67, + "learning_rate": 2.5314721765583884e-06, + "loss": 0.4968, + "step": 5020 + }, + { + "epoch": 0.67, + "learning_rate": 2.5295801673500584e-06, + "loss": 0.4875, + "step": 5021 + }, + { + "epoch": 0.67, + "learning_rate": 2.5276886260022713e-06, + "loss": 0.4898, + "step": 5022 + }, + { + "epoch": 0.67, + "learning_rate": 2.5257975528732563e-06, + "loss": 0.5119, + "step": 5023 + }, + { + "epoch": 0.67, + "learning_rate": 2.523906948321155e-06, + "loss": 0.4858, + "step": 5024 + }, + { + "epoch": 0.68, + "learning_rate": 2.52201681270402e-06, + "loss": 0.4555, + "step": 5025 + }, + { + "epoch": 0.68, + "learning_rate": 2.5201271463798128e-06, + "loss": 0.4952, + "step": 5026 + }, + { + "epoch": 0.68, + "learning_rate": 2.518237949706408e-06, + "loss": 0.4364, + "step": 5027 + }, + { + "epoch": 0.68, + "learning_rate": 2.5163492230415926e-06, + "loss": 0.4597, + "step": 5028 + }, + { + "epoch": 0.68, + "learning_rate": 2.5144609667430625e-06, + "loss": 0.4641, + "step": 5029 + }, + { + "epoch": 0.68, + "learning_rate": 2.512573181168425e-06, + "loss": 0.4573, + "step": 5030 + }, + { + "epoch": 0.68, + "learning_rate": 2.510685866675201e-06, + "loss": 0.4634, + "step": 5031 + }, + { + "epoch": 0.68, + "learning_rate": 2.508799023620815e-06, + "loss": 0.4609, + "step": 5032 + }, + { + "epoch": 0.68, + "learning_rate": 2.506912652362609e-06, + "loss": 0.4627, + "step": 5033 + }, + { + "epoch": 0.68, + "learning_rate": 2.5050267532578344e-06, + "loss": 0.4793, + "step": 5034 + }, + { + "epoch": 0.68, + "learning_rate": 2.5031413266636507e-06, + "loss": 0.4938, + "step": 5035 + }, + { + "epoch": 0.68, + "learning_rate": 2.501256372937131e-06, + "loss": 0.4788, + "step": 5036 + }, + { + "epoch": 0.68, + "learning_rate": 2.499371892435258e-06, + "loss": 0.4475, + "step": 5037 + }, + { + "epoch": 0.68, + "learning_rate": 2.497487885514921e-06, + "loss": 0.4722, + "step": 5038 + }, + { + "epoch": 0.68, + "learning_rate": 2.4956043525329243e-06, + "loss": 0.5056, + "step": 5039 + }, + { + "epoch": 0.68, + "learning_rate": 2.493721293845981e-06, + "loss": 0.4458, + "step": 5040 + }, + { + "epoch": 0.68, + "learning_rate": 2.4918387098107144e-06, + "loss": 0.4693, + "step": 5041 + }, + { + "epoch": 0.68, + "learning_rate": 2.4899566007836596e-06, + "loss": 0.4756, + "step": 5042 + }, + { + "epoch": 0.68, + "learning_rate": 2.488074967121255e-06, + "loss": 0.4572, + "step": 5043 + }, + { + "epoch": 0.68, + "learning_rate": 2.4861938091798576e-06, + "loss": 0.4941, + "step": 5044 + }, + { + "epoch": 0.68, + "learning_rate": 2.484313127315731e-06, + "loss": 0.4504, + "step": 5045 + }, + { + "epoch": 0.68, + "learning_rate": 2.4824329218850436e-06, + "loss": 0.453, + "step": 5046 + }, + { + "epoch": 0.68, + "learning_rate": 2.480553193243883e-06, + "loss": 0.516, + "step": 5047 + }, + { + "epoch": 0.68, + "learning_rate": 2.478673941748242e-06, + "loss": 0.4707, + "step": 5048 + }, + { + "epoch": 0.68, + "learning_rate": 2.476795167754019e-06, + "loss": 0.4416, + "step": 5049 + }, + { + "epoch": 0.68, + "learning_rate": 2.4749168716170276e-06, + "loss": 0.4856, + "step": 5050 + }, + { + "epoch": 0.68, + "learning_rate": 2.4730390536929907e-06, + "loss": 0.4563, + "step": 5051 + }, + { + "epoch": 0.68, + "learning_rate": 2.471161714337533e-06, + "loss": 0.4756, + "step": 5052 + }, + { + "epoch": 0.68, + "learning_rate": 2.4692848539062e-06, + "loss": 0.4742, + "step": 5053 + }, + { + "epoch": 0.68, + "learning_rate": 2.4674084727544418e-06, + "loss": 0.4808, + "step": 5054 + }, + { + "epoch": 0.68, + "learning_rate": 2.465532571237613e-06, + "loss": 0.5048, + "step": 5055 + }, + { + "epoch": 0.68, + "learning_rate": 2.463657149710983e-06, + "loss": 0.4773, + "step": 5056 + }, + { + "epoch": 0.68, + "learning_rate": 2.46178220852973e-06, + "loss": 0.4763, + "step": 5057 + }, + { + "epoch": 0.68, + "learning_rate": 2.459907748048934e-06, + "loss": 0.4625, + "step": 5058 + }, + { + "epoch": 0.68, + "learning_rate": 2.4580337686235968e-06, + "loss": 0.4417, + "step": 5059 + }, + { + "epoch": 0.68, + "learning_rate": 2.4561602706086207e-06, + "loss": 0.4694, + "step": 5060 + }, + { + "epoch": 0.68, + "learning_rate": 2.4542872543588147e-06, + "loss": 0.5034, + "step": 5061 + }, + { + "epoch": 0.68, + "learning_rate": 2.4524147202289022e-06, + "loss": 0.4703, + "step": 5062 + }, + { + "epoch": 0.68, + "learning_rate": 2.4505426685735153e-06, + "loss": 0.4671, + "step": 5063 + }, + { + "epoch": 0.68, + "learning_rate": 2.448671099747188e-06, + "loss": 0.4523, + "step": 5064 + }, + { + "epoch": 0.68, + "learning_rate": 2.446800014104368e-06, + "loss": 0.4961, + "step": 5065 + }, + { + "epoch": 0.68, + "learning_rate": 2.4449294119994164e-06, + "loss": 0.4643, + "step": 5066 + }, + { + "epoch": 0.68, + "learning_rate": 2.4430592937865916e-06, + "loss": 0.458, + "step": 5067 + }, + { + "epoch": 0.68, + "learning_rate": 2.44118965982007e-06, + "loss": 0.4637, + "step": 5068 + }, + { + "epoch": 0.68, + "learning_rate": 2.439320510453928e-06, + "loss": 0.4449, + "step": 5069 + }, + { + "epoch": 0.68, + "learning_rate": 2.4374518460421564e-06, + "loss": 0.4775, + "step": 5070 + }, + { + "epoch": 0.68, + "learning_rate": 2.4355836669386534e-06, + "loss": 0.4316, + "step": 5071 + }, + { + "epoch": 0.68, + "learning_rate": 2.4337159734972226e-06, + "loss": 0.474, + "step": 5072 + }, + { + "epoch": 0.68, + "learning_rate": 2.4318487660715783e-06, + "loss": 0.4685, + "step": 5073 + }, + { + "epoch": 0.68, + "learning_rate": 2.4299820450153427e-06, + "loss": 0.4547, + "step": 5074 + }, + { + "epoch": 0.68, + "learning_rate": 2.428115810682042e-06, + "loss": 0.4631, + "step": 5075 + }, + { + "epoch": 0.68, + "learning_rate": 2.426250063425114e-06, + "loss": 0.4575, + "step": 5076 + }, + { + "epoch": 0.68, + "learning_rate": 2.424384803597904e-06, + "loss": 0.4601, + "step": 5077 + }, + { + "epoch": 0.68, + "learning_rate": 2.422520031553664e-06, + "loss": 0.4729, + "step": 5078 + }, + { + "epoch": 0.68, + "learning_rate": 2.420655747645554e-06, + "loss": 0.4837, + "step": 5079 + }, + { + "epoch": 0.68, + "learning_rate": 2.4187919522266436e-06, + "loss": 0.4886, + "step": 5080 + }, + { + "epoch": 0.68, + "learning_rate": 2.416928645649903e-06, + "loss": 0.4495, + "step": 5081 + }, + { + "epoch": 0.68, + "learning_rate": 2.4150658282682177e-06, + "loss": 0.4781, + "step": 5082 + }, + { + "epoch": 0.68, + "learning_rate": 2.4132035004343763e-06, + "loss": 0.4643, + "step": 5083 + }, + { + "epoch": 0.68, + "learning_rate": 2.411341662501077e-06, + "loss": 0.4581, + "step": 5084 + }, + { + "epoch": 0.68, + "learning_rate": 2.4094803148209235e-06, + "loss": 0.4621, + "step": 5085 + }, + { + "epoch": 0.68, + "learning_rate": 2.4076194577464285e-06, + "loss": 0.4548, + "step": 5086 + }, + { + "epoch": 0.68, + "learning_rate": 2.4057590916300073e-06, + "loss": 0.4768, + "step": 5087 + }, + { + "epoch": 0.68, + "learning_rate": 2.4038992168239874e-06, + "loss": 0.4813, + "step": 5088 + }, + { + "epoch": 0.68, + "learning_rate": 2.402039833680601e-06, + "loss": 0.4714, + "step": 5089 + }, + { + "epoch": 0.68, + "learning_rate": 2.4001809425519877e-06, + "loss": 0.4442, + "step": 5090 + }, + { + "epoch": 0.68, + "learning_rate": 2.398322543790193e-06, + "loss": 0.4639, + "step": 5091 + }, + { + "epoch": 0.68, + "learning_rate": 2.396464637747173e-06, + "loss": 0.4508, + "step": 5092 + }, + { + "epoch": 0.68, + "learning_rate": 2.394607224774782e-06, + "loss": 0.4521, + "step": 5093 + }, + { + "epoch": 0.68, + "learning_rate": 2.3927503052247892e-06, + "loss": 0.4905, + "step": 5094 + }, + { + "epoch": 0.68, + "learning_rate": 2.3908938794488662e-06, + "loss": 0.4907, + "step": 5095 + }, + { + "epoch": 0.68, + "learning_rate": 2.3890379477985937e-06, + "loss": 0.4841, + "step": 5096 + }, + { + "epoch": 0.68, + "learning_rate": 2.3871825106254585e-06, + "loss": 0.4989, + "step": 5097 + }, + { + "epoch": 0.68, + "learning_rate": 2.385327568280849e-06, + "loss": 0.4695, + "step": 5098 + }, + { + "epoch": 0.69, + "learning_rate": 2.383473121116065e-06, + "loss": 0.4727, + "step": 5099 + }, + { + "epoch": 0.69, + "learning_rate": 2.3816191694823113e-06, + "loss": 0.4734, + "step": 5100 + }, + { + "epoch": 0.69, + "learning_rate": 2.3797657137306994e-06, + "loss": 0.4733, + "step": 5101 + }, + { + "epoch": 0.69, + "learning_rate": 2.377912754212245e-06, + "loss": 0.4773, + "step": 5102 + }, + { + "epoch": 0.69, + "learning_rate": 2.376060291277873e-06, + "loss": 0.476, + "step": 5103 + }, + { + "epoch": 0.69, + "learning_rate": 2.374208325278409e-06, + "loss": 0.4694, + "step": 5104 + }, + { + "epoch": 0.69, + "learning_rate": 2.3723568565645882e-06, + "loss": 0.457, + "step": 5105 + }, + { + "epoch": 0.69, + "learning_rate": 2.370505885487053e-06, + "loss": 0.4649, + "step": 5106 + }, + { + "epoch": 0.69, + "learning_rate": 2.368655412396348e-06, + "loss": 0.4711, + "step": 5107 + }, + { + "epoch": 0.69, + "learning_rate": 2.366805437642925e-06, + "loss": 0.4663, + "step": 5108 + }, + { + "epoch": 0.69, + "learning_rate": 2.364955961577145e-06, + "loss": 0.4514, + "step": 5109 + }, + { + "epoch": 0.69, + "learning_rate": 2.363106984549266e-06, + "loss": 0.4989, + "step": 5110 + }, + { + "epoch": 0.69, + "learning_rate": 2.361258506909459e-06, + "loss": 0.4776, + "step": 5111 + }, + { + "epoch": 0.69, + "learning_rate": 2.359410529007797e-06, + "loss": 0.5112, + "step": 5112 + }, + { + "epoch": 0.69, + "learning_rate": 2.3575630511942615e-06, + "loss": 0.45, + "step": 5113 + }, + { + "epoch": 0.69, + "learning_rate": 2.355716073818735e-06, + "loss": 0.481, + "step": 5114 + }, + { + "epoch": 0.69, + "learning_rate": 2.3538695972310106e-06, + "loss": 0.5126, + "step": 5115 + }, + { + "epoch": 0.69, + "learning_rate": 2.3520236217807786e-06, + "loss": 0.4526, + "step": 5116 + }, + { + "epoch": 0.69, + "learning_rate": 2.3501781478176417e-06, + "loss": 0.4742, + "step": 5117 + }, + { + "epoch": 0.69, + "learning_rate": 2.3483331756911067e-06, + "loss": 0.5092, + "step": 5118 + }, + { + "epoch": 0.69, + "learning_rate": 2.3464887057505782e-06, + "loss": 0.4551, + "step": 5119 + }, + { + "epoch": 0.69, + "learning_rate": 2.3446447383453784e-06, + "loss": 0.473, + "step": 5120 + }, + { + "epoch": 0.69, + "learning_rate": 2.3428012738247218e-06, + "loss": 0.4659, + "step": 5121 + }, + { + "epoch": 0.69, + "learning_rate": 2.3409583125377343e-06, + "loss": 0.4572, + "step": 5122 + }, + { + "epoch": 0.69, + "learning_rate": 2.339115854833448e-06, + "loss": 0.4681, + "step": 5123 + }, + { + "epoch": 0.69, + "learning_rate": 2.3372739010607925e-06, + "loss": 0.479, + "step": 5124 + }, + { + "epoch": 0.69, + "learning_rate": 2.3354324515686062e-06, + "loss": 0.4804, + "step": 5125 + }, + { + "epoch": 0.69, + "learning_rate": 2.333591506705638e-06, + "loss": 0.4731, + "step": 5126 + }, + { + "epoch": 0.69, + "learning_rate": 2.3317510668205297e-06, + "loss": 0.4829, + "step": 5127 + }, + { + "epoch": 0.69, + "learning_rate": 2.3299111322618345e-06, + "loss": 0.4604, + "step": 5128 + }, + { + "epoch": 0.69, + "learning_rate": 2.32807170337801e-06, + "loss": 0.474, + "step": 5129 + }, + { + "epoch": 0.69, + "learning_rate": 2.3262327805174145e-06, + "loss": 0.4767, + "step": 5130 + }, + { + "epoch": 0.69, + "learning_rate": 2.324394364028311e-06, + "loss": 0.4608, + "step": 5131 + }, + { + "epoch": 0.69, + "learning_rate": 2.3225564542588734e-06, + "loss": 0.4774, + "step": 5132 + }, + { + "epoch": 0.69, + "learning_rate": 2.3207190515571696e-06, + "loss": 0.4508, + "step": 5133 + }, + { + "epoch": 0.69, + "learning_rate": 2.3188821562711785e-06, + "loss": 0.456, + "step": 5134 + }, + { + "epoch": 0.69, + "learning_rate": 2.3170457687487805e-06, + "loss": 0.4567, + "step": 5135 + }, + { + "epoch": 0.69, + "learning_rate": 2.3152098893377583e-06, + "loss": 0.4757, + "step": 5136 + }, + { + "epoch": 0.69, + "learning_rate": 2.3133745183857988e-06, + "loss": 0.48, + "step": 5137 + }, + { + "epoch": 0.69, + "learning_rate": 2.311539656240499e-06, + "loss": 0.4841, + "step": 5138 + }, + { + "epoch": 0.69, + "learning_rate": 2.30970530324935e-06, + "loss": 0.4779, + "step": 5139 + }, + { + "epoch": 0.69, + "learning_rate": 2.307871459759752e-06, + "loss": 0.4504, + "step": 5140 + }, + { + "epoch": 0.69, + "learning_rate": 2.3060381261190095e-06, + "loss": 0.462, + "step": 5141 + }, + { + "epoch": 0.69, + "learning_rate": 2.3042053026743245e-06, + "loss": 0.5248, + "step": 5142 + }, + { + "epoch": 0.69, + "learning_rate": 2.3023729897728082e-06, + "loss": 0.4795, + "step": 5143 + }, + { + "epoch": 0.69, + "learning_rate": 2.3005411877614736e-06, + "loss": 0.4851, + "step": 5144 + }, + { + "epoch": 0.69, + "learning_rate": 2.2987098969872364e-06, + "loss": 0.4502, + "step": 5145 + }, + { + "epoch": 0.69, + "learning_rate": 2.296879117796917e-06, + "loss": 0.4449, + "step": 5146 + }, + { + "epoch": 0.69, + "learning_rate": 2.295048850537235e-06, + "loss": 0.4758, + "step": 5147 + }, + { + "epoch": 0.69, + "learning_rate": 2.293219095554816e-06, + "loss": 0.4553, + "step": 5148 + }, + { + "epoch": 0.69, + "learning_rate": 2.29138985319619e-06, + "loss": 0.4566, + "step": 5149 + }, + { + "epoch": 0.69, + "learning_rate": 2.2895611238077863e-06, + "loss": 0.4643, + "step": 5150 + }, + { + "epoch": 0.69, + "learning_rate": 2.28773290773594e-06, + "loss": 0.4659, + "step": 5151 + }, + { + "epoch": 0.69, + "learning_rate": 2.28590520532689e-06, + "loss": 0.4703, + "step": 5152 + }, + { + "epoch": 0.69, + "learning_rate": 2.2840780169267707e-06, + "loss": 0.458, + "step": 5153 + }, + { + "epoch": 0.69, + "learning_rate": 2.2822513428816275e-06, + "loss": 0.4762, + "step": 5154 + }, + { + "epoch": 0.69, + "learning_rate": 2.280425183537404e-06, + "loss": 0.4885, + "step": 5155 + }, + { + "epoch": 0.69, + "learning_rate": 2.2785995392399486e-06, + "loss": 0.4753, + "step": 5156 + }, + { + "epoch": 0.69, + "learning_rate": 2.2767744103350097e-06, + "loss": 0.4364, + "step": 5157 + }, + { + "epoch": 0.69, + "learning_rate": 2.274949797168243e-06, + "loss": 0.4766, + "step": 5158 + }, + { + "epoch": 0.69, + "learning_rate": 2.2731257000851975e-06, + "loss": 0.5096, + "step": 5159 + }, + { + "epoch": 0.69, + "learning_rate": 2.2713021194313324e-06, + "loss": 0.4587, + "step": 5160 + }, + { + "epoch": 0.69, + "learning_rate": 2.2694790555520063e-06, + "loss": 0.4487, + "step": 5161 + }, + { + "epoch": 0.69, + "learning_rate": 2.2676565087924807e-06, + "loss": 0.4696, + "step": 5162 + }, + { + "epoch": 0.69, + "learning_rate": 2.265834479497919e-06, + "loss": 0.4678, + "step": 5163 + }, + { + "epoch": 0.69, + "learning_rate": 2.2640129680133872e-06, + "loss": 0.4769, + "step": 5164 + }, + { + "epoch": 0.69, + "learning_rate": 2.2621919746838487e-06, + "loss": 0.4727, + "step": 5165 + }, + { + "epoch": 0.69, + "learning_rate": 2.260371499854175e-06, + "loss": 0.4698, + "step": 5166 + }, + { + "epoch": 0.69, + "learning_rate": 2.2585515438691362e-06, + "loss": 0.4708, + "step": 5167 + }, + { + "epoch": 0.69, + "learning_rate": 2.2567321070734048e-06, + "loss": 0.4928, + "step": 5168 + }, + { + "epoch": 0.69, + "learning_rate": 2.254913189811555e-06, + "loss": 0.4776, + "step": 5169 + }, + { + "epoch": 0.69, + "learning_rate": 2.253094792428065e-06, + "loss": 0.444, + "step": 5170 + }, + { + "epoch": 0.69, + "learning_rate": 2.251276915267307e-06, + "loss": 0.4629, + "step": 5171 + }, + { + "epoch": 0.69, + "learning_rate": 2.249459558673564e-06, + "loss": 0.5114, + "step": 5172 + }, + { + "epoch": 0.7, + "learning_rate": 2.247642722991011e-06, + "loss": 0.4581, + "step": 5173 + }, + { + "epoch": 0.7, + "learning_rate": 2.2458264085637346e-06, + "loss": 0.4817, + "step": 5174 + }, + { + "epoch": 0.7, + "learning_rate": 2.2440106157357172e-06, + "loss": 0.4949, + "step": 5175 + }, + { + "epoch": 0.7, + "learning_rate": 2.2421953448508403e-06, + "loss": 0.4823, + "step": 5176 + }, + { + "epoch": 0.7, + "learning_rate": 2.2403805962528894e-06, + "loss": 0.4536, + "step": 5177 + }, + { + "epoch": 0.7, + "learning_rate": 2.238566370285554e-06, + "loss": 0.4702, + "step": 5178 + }, + { + "epoch": 0.7, + "learning_rate": 2.2367526672924155e-06, + "loss": 0.4729, + "step": 5179 + }, + { + "epoch": 0.7, + "learning_rate": 2.2349394876169667e-06, + "loss": 0.4601, + "step": 5180 + }, + { + "epoch": 0.7, + "learning_rate": 2.2331268316025973e-06, + "loss": 0.4422, + "step": 5181 + }, + { + "epoch": 0.7, + "learning_rate": 2.2313146995925933e-06, + "loss": 0.5247, + "step": 5182 + }, + { + "epoch": 0.7, + "learning_rate": 2.229503091930148e-06, + "loss": 0.4514, + "step": 5183 + }, + { + "epoch": 0.7, + "learning_rate": 2.2276920089583535e-06, + "loss": 0.5013, + "step": 5184 + }, + { + "epoch": 0.7, + "learning_rate": 2.225881451020197e-06, + "loss": 0.4604, + "step": 5185 + }, + { + "epoch": 0.7, + "learning_rate": 2.2240714184585767e-06, + "loss": 0.4765, + "step": 5186 + }, + { + "epoch": 0.7, + "learning_rate": 2.2222619116162854e-06, + "loss": 0.4608, + "step": 5187 + }, + { + "epoch": 0.7, + "learning_rate": 2.2204529308360125e-06, + "loss": 0.4579, + "step": 5188 + }, + { + "epoch": 0.7, + "learning_rate": 2.218644476460354e-06, + "loss": 0.493, + "step": 5189 + }, + { + "epoch": 0.7, + "learning_rate": 2.2168365488318072e-06, + "loss": 0.4678, + "step": 5190 + }, + { + "epoch": 0.7, + "learning_rate": 2.215029148292759e-06, + "loss": 0.4467, + "step": 5191 + }, + { + "epoch": 0.7, + "learning_rate": 2.213222275185511e-06, + "loss": 0.4898, + "step": 5192 + }, + { + "epoch": 0.7, + "learning_rate": 2.211415929852257e-06, + "loss": 0.4743, + "step": 5193 + }, + { + "epoch": 0.7, + "learning_rate": 2.209610112635088e-06, + "loss": 0.4429, + "step": 5194 + }, + { + "epoch": 0.7, + "learning_rate": 2.207804823876002e-06, + "loss": 0.4663, + "step": 5195 + }, + { + "epoch": 0.7, + "learning_rate": 2.2060000639168937e-06, + "loss": 0.4508, + "step": 5196 + }, + { + "epoch": 0.7, + "learning_rate": 2.2041958330995556e-06, + "loss": 0.4839, + "step": 5197 + }, + { + "epoch": 0.7, + "learning_rate": 2.202392131765683e-06, + "loss": 0.4632, + "step": 5198 + }, + { + "epoch": 0.7, + "learning_rate": 2.20058896025687e-06, + "loss": 0.4915, + "step": 5199 + }, + { + "epoch": 0.7, + "learning_rate": 2.19878631891461e-06, + "loss": 0.4916, + "step": 5200 + }, + { + "epoch": 0.7, + "learning_rate": 2.1969842080802977e-06, + "loss": 0.458, + "step": 5201 + }, + { + "epoch": 0.7, + "learning_rate": 2.195182628095224e-06, + "loss": 0.4908, + "step": 5202 + }, + { + "epoch": 0.7, + "learning_rate": 2.1933815793005817e-06, + "loss": 0.4816, + "step": 5203 + }, + { + "epoch": 0.7, + "learning_rate": 2.1915810620374626e-06, + "loss": 0.4962, + "step": 5204 + }, + { + "epoch": 0.7, + "learning_rate": 2.1897810766468585e-06, + "loss": 0.4528, + "step": 5205 + }, + { + "epoch": 0.7, + "learning_rate": 2.187981623469659e-06, + "loss": 0.4866, + "step": 5206 + }, + { + "epoch": 0.7, + "learning_rate": 2.186182702846655e-06, + "loss": 0.4824, + "step": 5207 + }, + { + "epoch": 0.7, + "learning_rate": 2.1843843151185323e-06, + "loss": 0.4791, + "step": 5208 + }, + { + "epoch": 0.7, + "learning_rate": 2.18258646062588e-06, + "loss": 0.4845, + "step": 5209 + }, + { + "epoch": 0.7, + "learning_rate": 2.180789139709185e-06, + "loss": 0.4663, + "step": 5210 + }, + { + "epoch": 0.7, + "learning_rate": 2.1789923527088336e-06, + "loss": 0.4541, + "step": 5211 + }, + { + "epoch": 0.7, + "learning_rate": 2.1771960999651094e-06, + "loss": 0.4691, + "step": 5212 + }, + { + "epoch": 0.7, + "learning_rate": 2.1754003818181974e-06, + "loss": 0.4399, + "step": 5213 + }, + { + "epoch": 0.7, + "learning_rate": 2.1736051986081767e-06, + "loss": 0.4575, + "step": 5214 + }, + { + "epoch": 0.7, + "learning_rate": 2.1718105506750307e-06, + "loss": 0.4774, + "step": 5215 + }, + { + "epoch": 0.7, + "learning_rate": 2.1700164383586377e-06, + "loss": 0.4443, + "step": 5216 + }, + { + "epoch": 0.7, + "learning_rate": 2.168222861998776e-06, + "loss": 0.4688, + "step": 5217 + }, + { + "epoch": 0.7, + "learning_rate": 2.166429821935122e-06, + "loss": 0.4826, + "step": 5218 + }, + { + "epoch": 0.7, + "learning_rate": 2.164637318507253e-06, + "loss": 0.4669, + "step": 5219 + }, + { + "epoch": 0.7, + "learning_rate": 2.1628453520546383e-06, + "loss": 0.5002, + "step": 5220 + }, + { + "epoch": 0.7, + "learning_rate": 2.161053922916651e-06, + "loss": 0.4485, + "step": 5221 + }, + { + "epoch": 0.7, + "learning_rate": 2.159263031432562e-06, + "loss": 0.4916, + "step": 5222 + }, + { + "epoch": 0.7, + "learning_rate": 2.1574726779415385e-06, + "loss": 0.4541, + "step": 5223 + }, + { + "epoch": 0.7, + "learning_rate": 2.1556828627826485e-06, + "loss": 0.4909, + "step": 5224 + }, + { + "epoch": 0.7, + "learning_rate": 2.153893586294853e-06, + "loss": 0.4902, + "step": 5225 + }, + { + "epoch": 0.7, + "learning_rate": 2.1521048488170153e-06, + "loss": 0.4403, + "step": 5226 + }, + { + "epoch": 0.7, + "learning_rate": 2.1503166506878962e-06, + "loss": 0.4723, + "step": 5227 + }, + { + "epoch": 0.7, + "learning_rate": 2.1485289922461537e-06, + "loss": 0.4525, + "step": 5228 + }, + { + "epoch": 0.7, + "learning_rate": 2.146741873830343e-06, + "loss": 0.4983, + "step": 5229 + }, + { + "epoch": 0.7, + "learning_rate": 2.14495529577892e-06, + "loss": 0.4833, + "step": 5230 + }, + { + "epoch": 0.7, + "learning_rate": 2.1431692584302315e-06, + "loss": 0.4939, + "step": 5231 + }, + { + "epoch": 0.7, + "learning_rate": 2.1413837621225285e-06, + "loss": 0.4816, + "step": 5232 + }, + { + "epoch": 0.7, + "learning_rate": 2.1395988071939577e-06, + "loss": 0.4754, + "step": 5233 + }, + { + "epoch": 0.7, + "learning_rate": 2.1378143939825617e-06, + "loss": 0.4511, + "step": 5234 + }, + { + "epoch": 0.7, + "learning_rate": 2.1360305228262827e-06, + "loss": 0.4654, + "step": 5235 + }, + { + "epoch": 0.7, + "learning_rate": 2.134247194062961e-06, + "loss": 0.4937, + "step": 5236 + }, + { + "epoch": 0.7, + "learning_rate": 2.132464408030328e-06, + "loss": 0.4795, + "step": 5237 + }, + { + "epoch": 0.7, + "learning_rate": 2.130682165066019e-06, + "loss": 0.4787, + "step": 5238 + }, + { + "epoch": 0.7, + "learning_rate": 2.128900465507564e-06, + "loss": 0.4555, + "step": 5239 + }, + { + "epoch": 0.7, + "learning_rate": 2.1271193096923897e-06, + "loss": 0.4761, + "step": 5240 + }, + { + "epoch": 0.7, + "learning_rate": 2.1253386979578218e-06, + "loss": 0.4297, + "step": 5241 + }, + { + "epoch": 0.7, + "learning_rate": 2.1235586306410823e-06, + "loss": 0.4946, + "step": 5242 + }, + { + "epoch": 0.7, + "learning_rate": 2.1217791080792854e-06, + "loss": 0.4535, + "step": 5243 + }, + { + "epoch": 0.7, + "learning_rate": 2.1200001306094485e-06, + "loss": 0.4837, + "step": 5244 + }, + { + "epoch": 0.7, + "learning_rate": 2.118221698568485e-06, + "loss": 0.4838, + "step": 5245 + }, + { + "epoch": 0.7, + "learning_rate": 2.1164438122931978e-06, + "loss": 0.4614, + "step": 5246 + }, + { + "epoch": 0.7, + "learning_rate": 2.114666472120299e-06, + "loss": 0.4601, + "step": 5247 + }, + { + "epoch": 0.71, + "learning_rate": 2.112889678386385e-06, + "loss": 0.4339, + "step": 5248 + }, + { + "epoch": 0.71, + "learning_rate": 2.111113431427956e-06, + "loss": 0.4682, + "step": 5249 + }, + { + "epoch": 0.71, + "learning_rate": 2.1093377315814077e-06, + "loss": 0.4775, + "step": 5250 + }, + { + "epoch": 0.71, + "learning_rate": 2.1075625791830284e-06, + "loss": 0.4697, + "step": 5251 + }, + { + "epoch": 0.71, + "learning_rate": 2.1057879745690046e-06, + "loss": 0.4551, + "step": 5252 + }, + { + "epoch": 0.71, + "learning_rate": 2.1040139180754253e-06, + "loss": 0.4726, + "step": 5253 + }, + { + "epoch": 0.71, + "learning_rate": 2.1022404100382654e-06, + "loss": 0.4635, + "step": 5254 + }, + { + "epoch": 0.71, + "learning_rate": 2.1004674507934026e-06, + "loss": 0.4856, + "step": 5255 + }, + { + "epoch": 0.71, + "learning_rate": 2.09869504067661e-06, + "loss": 0.456, + "step": 5256 + }, + { + "epoch": 0.71, + "learning_rate": 2.096923180023552e-06, + "loss": 0.4682, + "step": 5257 + }, + { + "epoch": 0.71, + "learning_rate": 2.095151869169793e-06, + "loss": 0.4786, + "step": 5258 + }, + { + "epoch": 0.71, + "learning_rate": 2.0933811084507975e-06, + "loss": 0.481, + "step": 5259 + }, + { + "epoch": 0.71, + "learning_rate": 2.091610898201917e-06, + "loss": 0.495, + "step": 5260 + }, + { + "epoch": 0.71, + "learning_rate": 2.0898412387584034e-06, + "loss": 0.477, + "step": 5261 + }, + { + "epoch": 0.71, + "learning_rate": 2.0880721304554054e-06, + "loss": 0.4562, + "step": 5262 + }, + { + "epoch": 0.71, + "learning_rate": 2.0863035736279623e-06, + "loss": 0.4779, + "step": 5263 + }, + { + "epoch": 0.71, + "learning_rate": 2.084535568611013e-06, + "loss": 0.4576, + "step": 5264 + }, + { + "epoch": 0.71, + "learning_rate": 2.0827681157393965e-06, + "loss": 0.4666, + "step": 5265 + }, + { + "epoch": 0.71, + "learning_rate": 2.0810012153478353e-06, + "loss": 0.4502, + "step": 5266 + }, + { + "epoch": 0.71, + "learning_rate": 2.0792348677709566e-06, + "loss": 0.4466, + "step": 5267 + }, + { + "epoch": 0.71, + "learning_rate": 2.0774690733432825e-06, + "loss": 0.4749, + "step": 5268 + }, + { + "epoch": 0.71, + "learning_rate": 2.075703832399223e-06, + "loss": 0.4922, + "step": 5269 + }, + { + "epoch": 0.71, + "learning_rate": 2.0739391452730912e-06, + "loss": 0.4893, + "step": 5270 + }, + { + "epoch": 0.71, + "learning_rate": 2.072175012299092e-06, + "loss": 0.4557, + "step": 5271 + }, + { + "epoch": 0.71, + "learning_rate": 2.070411433811326e-06, + "loss": 0.4987, + "step": 5272 + }, + { + "epoch": 0.71, + "learning_rate": 2.0686484101437902e-06, + "loss": 0.4624, + "step": 5273 + }, + { + "epoch": 0.71, + "learning_rate": 2.0668859416303714e-06, + "loss": 0.4794, + "step": 5274 + }, + { + "epoch": 0.71, + "learning_rate": 2.0651240286048568e-06, + "loss": 0.4594, + "step": 5275 + }, + { + "epoch": 0.71, + "learning_rate": 2.063362671400926e-06, + "loss": 0.4713, + "step": 5276 + }, + { + "epoch": 0.71, + "learning_rate": 2.061601870352154e-06, + "loss": 0.4717, + "step": 5277 + }, + { + "epoch": 0.71, + "learning_rate": 2.0598416257920095e-06, + "loss": 0.505, + "step": 5278 + }, + { + "epoch": 0.71, + "learning_rate": 2.058081938053859e-06, + "loss": 0.4647, + "step": 5279 + }, + { + "epoch": 0.71, + "learning_rate": 2.0563228074709575e-06, + "loss": 0.485, + "step": 5280 + }, + { + "epoch": 0.71, + "learning_rate": 2.054564234376459e-06, + "loss": 0.4837, + "step": 5281 + }, + { + "epoch": 0.71, + "learning_rate": 2.0528062191034116e-06, + "loss": 0.4596, + "step": 5282 + }, + { + "epoch": 0.71, + "learning_rate": 2.0510487619847564e-06, + "loss": 0.4952, + "step": 5283 + }, + { + "epoch": 0.71, + "learning_rate": 2.0492918633533303e-06, + "loss": 0.5019, + "step": 5284 + }, + { + "epoch": 0.71, + "learning_rate": 2.0475355235418653e-06, + "loss": 0.4824, + "step": 5285 + }, + { + "epoch": 0.71, + "learning_rate": 2.045779742882982e-06, + "loss": 0.488, + "step": 5286 + }, + { + "epoch": 0.71, + "learning_rate": 2.0440245217092e-06, + "loss": 0.4385, + "step": 5287 + }, + { + "epoch": 0.71, + "learning_rate": 2.042269860352934e-06, + "loss": 0.4605, + "step": 5288 + }, + { + "epoch": 0.71, + "learning_rate": 2.0405157591464887e-06, + "loss": 0.4743, + "step": 5289 + }, + { + "epoch": 0.71, + "learning_rate": 2.0387622184220653e-06, + "loss": 0.4347, + "step": 5290 + }, + { + "epoch": 0.71, + "learning_rate": 2.0370092385117595e-06, + "loss": 0.4513, + "step": 5291 + }, + { + "epoch": 0.71, + "learning_rate": 2.035256819747557e-06, + "loss": 0.4475, + "step": 5292 + }, + { + "epoch": 0.71, + "learning_rate": 2.03350496246134e-06, + "loss": 0.462, + "step": 5293 + }, + { + "epoch": 0.71, + "learning_rate": 2.0317536669848855e-06, + "loss": 0.5181, + "step": 5294 + }, + { + "epoch": 0.71, + "learning_rate": 2.030002933649862e-06, + "loss": 0.4729, + "step": 5295 + }, + { + "epoch": 0.71, + "learning_rate": 2.0282527627878314e-06, + "loss": 0.4462, + "step": 5296 + }, + { + "epoch": 0.71, + "learning_rate": 2.0265031547302527e-06, + "loss": 0.4305, + "step": 5297 + }, + { + "epoch": 0.71, + "learning_rate": 2.0247541098084717e-06, + "loss": 0.4572, + "step": 5298 + }, + { + "epoch": 0.71, + "learning_rate": 2.0230056283537345e-06, + "loss": 0.4738, + "step": 5299 + }, + { + "epoch": 0.71, + "learning_rate": 2.0212577106971726e-06, + "loss": 0.4739, + "step": 5300 + }, + { + "epoch": 0.71, + "learning_rate": 2.0195103571698205e-06, + "loss": 0.4469, + "step": 5301 + }, + { + "epoch": 0.71, + "learning_rate": 2.017763568102601e-06, + "loss": 0.4726, + "step": 5302 + }, + { + "epoch": 0.71, + "learning_rate": 2.0160173438263257e-06, + "loss": 0.4888, + "step": 5303 + }, + { + "epoch": 0.71, + "learning_rate": 2.0142716846717053e-06, + "loss": 0.4471, + "step": 5304 + }, + { + "epoch": 0.71, + "learning_rate": 2.0125265909693436e-06, + "loss": 0.4626, + "step": 5305 + }, + { + "epoch": 0.71, + "learning_rate": 2.01078206304973e-06, + "loss": 0.4525, + "step": 5306 + }, + { + "epoch": 0.71, + "learning_rate": 2.009038101243257e-06, + "loss": 0.4547, + "step": 5307 + }, + { + "epoch": 0.71, + "learning_rate": 2.0072947058802044e-06, + "loss": 0.4568, + "step": 5308 + }, + { + "epoch": 0.71, + "learning_rate": 2.005551877290743e-06, + "loss": 0.4632, + "step": 5309 + }, + { + "epoch": 0.71, + "learning_rate": 2.0038096158049384e-06, + "loss": 0.4628, + "step": 5310 + }, + { + "epoch": 0.71, + "learning_rate": 2.002067921752752e-06, + "loss": 0.4509, + "step": 5311 + }, + { + "epoch": 0.71, + "learning_rate": 2.0003267954640293e-06, + "loss": 0.4899, + "step": 5312 + }, + { + "epoch": 0.71, + "learning_rate": 1.9985862372685185e-06, + "loss": 0.473, + "step": 5313 + }, + { + "epoch": 0.71, + "learning_rate": 1.9968462474958546e-06, + "loss": 0.4539, + "step": 5314 + }, + { + "epoch": 0.71, + "learning_rate": 1.995106826475563e-06, + "loss": 0.5062, + "step": 5315 + }, + { + "epoch": 0.71, + "learning_rate": 1.993367974537065e-06, + "loss": 0.4578, + "step": 5316 + }, + { + "epoch": 0.71, + "learning_rate": 1.9916296920096763e-06, + "loss": 0.4565, + "step": 5317 + }, + { + "epoch": 0.71, + "learning_rate": 1.9898919792225948e-06, + "loss": 0.4573, + "step": 5318 + }, + { + "epoch": 0.71, + "learning_rate": 1.988154836504923e-06, + "loss": 0.4703, + "step": 5319 + }, + { + "epoch": 0.71, + "learning_rate": 1.98641826418565e-06, + "loss": 0.4618, + "step": 5320 + }, + { + "epoch": 0.71, + "learning_rate": 1.984682262593653e-06, + "loss": 0.4655, + "step": 5321 + }, + { + "epoch": 0.72, + "learning_rate": 1.982946832057707e-06, + "loss": 0.4519, + "step": 5322 + }, + { + "epoch": 0.72, + "learning_rate": 1.9812119729064764e-06, + "loss": 0.476, + "step": 5323 + }, + { + "epoch": 0.72, + "learning_rate": 1.9794776854685165e-06, + "loss": 0.4774, + "step": 5324 + }, + { + "epoch": 0.72, + "learning_rate": 1.9777439700722762e-06, + "loss": 0.4767, + "step": 5325 + }, + { + "epoch": 0.72, + "learning_rate": 1.976010827046095e-06, + "loss": 0.4428, + "step": 5326 + }, + { + "epoch": 0.72, + "learning_rate": 1.974278256718204e-06, + "loss": 0.4393, + "step": 5327 + }, + { + "epoch": 0.72, + "learning_rate": 1.9725462594167283e-06, + "loss": 0.4652, + "step": 5328 + }, + { + "epoch": 0.72, + "learning_rate": 1.970814835469679e-06, + "loss": 0.4625, + "step": 5329 + }, + { + "epoch": 0.72, + "learning_rate": 1.9690839852049627e-06, + "loss": 0.4632, + "step": 5330 + }, + { + "epoch": 0.72, + "learning_rate": 1.9673537089503775e-06, + "loss": 0.484, + "step": 5331 + }, + { + "epoch": 0.72, + "learning_rate": 1.9656240070336114e-06, + "loss": 0.4604, + "step": 5332 + }, + { + "epoch": 0.72, + "learning_rate": 1.963894879782244e-06, + "loss": 0.4366, + "step": 5333 + }, + { + "epoch": 0.72, + "learning_rate": 1.962166327523748e-06, + "loss": 0.4504, + "step": 5334 + }, + { + "epoch": 0.72, + "learning_rate": 1.9604383505854818e-06, + "loss": 0.4559, + "step": 5335 + }, + { + "epoch": 0.72, + "learning_rate": 1.9587109492947003e-06, + "loss": 0.4559, + "step": 5336 + }, + { + "epoch": 0.72, + "learning_rate": 1.9569841239785477e-06, + "loss": 0.4941, + "step": 5337 + }, + { + "epoch": 0.72, + "learning_rate": 1.9552578749640578e-06, + "loss": 0.474, + "step": 5338 + }, + { + "epoch": 0.72, + "learning_rate": 1.9535322025781573e-06, + "loss": 0.4603, + "step": 5339 + }, + { + "epoch": 0.72, + "learning_rate": 1.9518071071476643e-06, + "loss": 0.4674, + "step": 5340 + }, + { + "epoch": 0.72, + "learning_rate": 1.9500825889992817e-06, + "loss": 0.4732, + "step": 5341 + }, + { + "epoch": 0.72, + "learning_rate": 1.948358648459611e-06, + "loss": 0.4731, + "step": 5342 + }, + { + "epoch": 0.72, + "learning_rate": 1.9466352858551383e-06, + "loss": 0.4707, + "step": 5343 + }, + { + "epoch": 0.72, + "learning_rate": 1.944912501512245e-06, + "loss": 0.4709, + "step": 5344 + }, + { + "epoch": 0.72, + "learning_rate": 1.9431902957571995e-06, + "loss": 0.486, + "step": 5345 + }, + { + "epoch": 0.72, + "learning_rate": 1.9414686689161638e-06, + "loss": 0.5071, + "step": 5346 + }, + { + "epoch": 0.72, + "learning_rate": 1.9397476213151844e-06, + "loss": 0.4872, + "step": 5347 + }, + { + "epoch": 0.72, + "learning_rate": 1.938027153280204e-06, + "loss": 0.4971, + "step": 5348 + }, + { + "epoch": 0.72, + "learning_rate": 1.936307265137054e-06, + "loss": 0.4674, + "step": 5349 + }, + { + "epoch": 0.72, + "learning_rate": 1.9345879572114545e-06, + "loss": 0.4772, + "step": 5350 + }, + { + "epoch": 0.72, + "learning_rate": 1.9328692298290193e-06, + "loss": 0.4829, + "step": 5351 + }, + { + "epoch": 0.72, + "learning_rate": 1.9311510833152453e-06, + "loss": 0.4888, + "step": 5352 + }, + { + "epoch": 0.72, + "learning_rate": 1.929433517995526e-06, + "loss": 0.4595, + "step": 5353 + }, + { + "epoch": 0.72, + "learning_rate": 1.9277165341951422e-06, + "loss": 0.4775, + "step": 5354 + }, + { + "epoch": 0.72, + "learning_rate": 1.9260001322392655e-06, + "loss": 0.501, + "step": 5355 + }, + { + "epoch": 0.72, + "learning_rate": 1.924284312452957e-06, + "loss": 0.486, + "step": 5356 + }, + { + "epoch": 0.72, + "learning_rate": 1.9225690751611677e-06, + "loss": 0.4764, + "step": 5357 + }, + { + "epoch": 0.72, + "learning_rate": 1.920854420688736e-06, + "loss": 0.4629, + "step": 5358 + }, + { + "epoch": 0.72, + "learning_rate": 1.9191403493603923e-06, + "loss": 0.5125, + "step": 5359 + }, + { + "epoch": 0.72, + "learning_rate": 1.917426861500756e-06, + "loss": 0.476, + "step": 5360 + }, + { + "epoch": 0.72, + "learning_rate": 1.915713957434337e-06, + "loss": 0.4636, + "step": 5361 + }, + { + "epoch": 0.72, + "learning_rate": 1.914001637485533e-06, + "loss": 0.4677, + "step": 5362 + }, + { + "epoch": 0.72, + "learning_rate": 1.912289901978634e-06, + "loss": 0.4511, + "step": 5363 + }, + { + "epoch": 0.72, + "learning_rate": 1.910578751237814e-06, + "loss": 0.447, + "step": 5364 + }, + { + "epoch": 0.72, + "learning_rate": 1.9088681855871393e-06, + "loss": 0.4634, + "step": 5365 + }, + { + "epoch": 0.72, + "learning_rate": 1.907158205350567e-06, + "loss": 0.4216, + "step": 5366 + }, + { + "epoch": 0.72, + "learning_rate": 1.9054488108519415e-06, + "loss": 0.4671, + "step": 5367 + }, + { + "epoch": 0.72, + "learning_rate": 1.903740002414996e-06, + "loss": 0.4813, + "step": 5368 + }, + { + "epoch": 0.72, + "learning_rate": 1.9020317803633554e-06, + "loss": 0.4617, + "step": 5369 + }, + { + "epoch": 0.72, + "learning_rate": 1.900324145020528e-06, + "loss": 0.4723, + "step": 5370 + }, + { + "epoch": 0.72, + "learning_rate": 1.898617096709916e-06, + "loss": 0.4963, + "step": 5371 + }, + { + "epoch": 0.72, + "learning_rate": 1.8969106357548084e-06, + "loss": 0.4863, + "step": 5372 + }, + { + "epoch": 0.72, + "learning_rate": 1.8952047624783843e-06, + "loss": 0.4636, + "step": 5373 + }, + { + "epoch": 0.72, + "learning_rate": 1.8934994772037096e-06, + "loss": 0.4678, + "step": 5374 + }, + { + "epoch": 0.72, + "learning_rate": 1.8917947802537422e-06, + "loss": 0.4714, + "step": 5375 + }, + { + "epoch": 0.72, + "learning_rate": 1.8900906719513222e-06, + "loss": 0.4897, + "step": 5376 + }, + { + "epoch": 0.72, + "learning_rate": 1.8883871526191861e-06, + "loss": 0.4854, + "step": 5377 + }, + { + "epoch": 0.72, + "learning_rate": 1.8866842225799514e-06, + "loss": 0.4585, + "step": 5378 + }, + { + "epoch": 0.72, + "learning_rate": 1.8849818821561277e-06, + "loss": 0.4603, + "step": 5379 + }, + { + "epoch": 0.72, + "learning_rate": 1.883280131670117e-06, + "loss": 0.4621, + "step": 5380 + }, + { + "epoch": 0.72, + "learning_rate": 1.8815789714442018e-06, + "loss": 0.4803, + "step": 5381 + }, + { + "epoch": 0.72, + "learning_rate": 1.8798784018005572e-06, + "loss": 0.5054, + "step": 5382 + }, + { + "epoch": 0.72, + "learning_rate": 1.878178423061247e-06, + "loss": 0.5, + "step": 5383 + }, + { + "epoch": 0.72, + "learning_rate": 1.8764790355482192e-06, + "loss": 0.4402, + "step": 5384 + }, + { + "epoch": 0.72, + "learning_rate": 1.8747802395833114e-06, + "loss": 0.4807, + "step": 5385 + }, + { + "epoch": 0.72, + "learning_rate": 1.8730820354882561e-06, + "loss": 0.4408, + "step": 5386 + }, + { + "epoch": 0.72, + "learning_rate": 1.8713844235846623e-06, + "loss": 0.4357, + "step": 5387 + }, + { + "epoch": 0.72, + "learning_rate": 1.8696874041940338e-06, + "loss": 0.4756, + "step": 5388 + }, + { + "epoch": 0.72, + "learning_rate": 1.867990977637763e-06, + "loss": 0.4603, + "step": 5389 + }, + { + "epoch": 0.72, + "learning_rate": 1.8662951442371235e-06, + "loss": 0.4828, + "step": 5390 + }, + { + "epoch": 0.72, + "learning_rate": 1.8645999043132813e-06, + "loss": 0.4739, + "step": 5391 + }, + { + "epoch": 0.72, + "learning_rate": 1.8629052581872942e-06, + "loss": 0.4479, + "step": 5392 + }, + { + "epoch": 0.72, + "learning_rate": 1.861211206180098e-06, + "loss": 0.4506, + "step": 5393 + }, + { + "epoch": 0.72, + "learning_rate": 1.859517748612522e-06, + "loss": 0.4636, + "step": 5394 + }, + { + "epoch": 0.72, + "learning_rate": 1.8578248858052844e-06, + "loss": 0.4844, + "step": 5395 + }, + { + "epoch": 0.72, + "learning_rate": 1.856132618078984e-06, + "loss": 0.4643, + "step": 5396 + }, + { + "epoch": 0.73, + "learning_rate": 1.8544409457541106e-06, + "loss": 0.4563, + "step": 5397 + }, + { + "epoch": 0.73, + "learning_rate": 1.8527498691510476e-06, + "loss": 0.4531, + "step": 5398 + }, + { + "epoch": 0.73, + "learning_rate": 1.8510593885900542e-06, + "loss": 0.4908, + "step": 5399 + }, + { + "epoch": 0.73, + "learning_rate": 1.8493695043912834e-06, + "loss": 0.4746, + "step": 5400 + }, + { + "epoch": 0.73, + "learning_rate": 1.8476802168747766e-06, + "loss": 0.5005, + "step": 5401 + }, + { + "epoch": 0.73, + "learning_rate": 1.845991526360455e-06, + "loss": 0.4852, + "step": 5402 + }, + { + "epoch": 0.73, + "learning_rate": 1.8443034331681336e-06, + "loss": 0.4836, + "step": 5403 + }, + { + "epoch": 0.73, + "learning_rate": 1.8426159376175118e-06, + "loss": 0.4731, + "step": 5404 + }, + { + "epoch": 0.73, + "learning_rate": 1.8409290400281765e-06, + "loss": 0.4691, + "step": 5405 + }, + { + "epoch": 0.73, + "learning_rate": 1.8392427407196016e-06, + "loss": 0.4563, + "step": 5406 + }, + { + "epoch": 0.73, + "learning_rate": 1.8375570400111448e-06, + "loss": 0.4905, + "step": 5407 + }, + { + "epoch": 0.73, + "learning_rate": 1.8358719382220536e-06, + "loss": 0.4859, + "step": 5408 + }, + { + "epoch": 0.73, + "learning_rate": 1.8341874356714612e-06, + "loss": 0.4635, + "step": 5409 + }, + { + "epoch": 0.73, + "learning_rate": 1.832503532678387e-06, + "loss": 0.4772, + "step": 5410 + }, + { + "epoch": 0.73, + "learning_rate": 1.8308202295617367e-06, + "loss": 0.4526, + "step": 5411 + }, + { + "epoch": 0.73, + "learning_rate": 1.829137526640305e-06, + "loss": 0.475, + "step": 5412 + }, + { + "epoch": 0.73, + "learning_rate": 1.8274554242327674e-06, + "loss": 0.447, + "step": 5413 + }, + { + "epoch": 0.73, + "learning_rate": 1.8257739226576898e-06, + "loss": 0.4356, + "step": 5414 + }, + { + "epoch": 0.73, + "learning_rate": 1.824093022233524e-06, + "loss": 0.473, + "step": 5415 + }, + { + "epoch": 0.73, + "learning_rate": 1.8224127232786076e-06, + "loss": 0.4474, + "step": 5416 + }, + { + "epoch": 0.73, + "learning_rate": 1.820733026111164e-06, + "loss": 0.4449, + "step": 5417 + }, + { + "epoch": 0.73, + "learning_rate": 1.8190539310493038e-06, + "loss": 0.5066, + "step": 5418 + }, + { + "epoch": 0.73, + "learning_rate": 1.8173754384110194e-06, + "loss": 0.4822, + "step": 5419 + }, + { + "epoch": 0.73, + "learning_rate": 1.8156975485141937e-06, + "loss": 0.4677, + "step": 5420 + }, + { + "epoch": 0.73, + "learning_rate": 1.8140202616765945e-06, + "loss": 0.4519, + "step": 5421 + }, + { + "epoch": 0.73, + "learning_rate": 1.812343578215875e-06, + "loss": 0.4758, + "step": 5422 + }, + { + "epoch": 0.73, + "learning_rate": 1.8106674984495726e-06, + "loss": 0.473, + "step": 5423 + }, + { + "epoch": 0.73, + "learning_rate": 1.8089920226951147e-06, + "loss": 0.4561, + "step": 5424 + }, + { + "epoch": 0.73, + "learning_rate": 1.8073171512698074e-06, + "loss": 0.4889, + "step": 5425 + }, + { + "epoch": 0.73, + "learning_rate": 1.805642884490848e-06, + "loss": 0.4374, + "step": 5426 + }, + { + "epoch": 0.73, + "learning_rate": 1.803969222675318e-06, + "loss": 0.4755, + "step": 5427 + }, + { + "epoch": 0.73, + "learning_rate": 1.8022961661401833e-06, + "loss": 0.4619, + "step": 5428 + }, + { + "epoch": 0.73, + "learning_rate": 1.8006237152022976e-06, + "loss": 0.4763, + "step": 5429 + }, + { + "epoch": 0.73, + "learning_rate": 1.7989518701783953e-06, + "loss": 0.4724, + "step": 5430 + }, + { + "epoch": 0.73, + "learning_rate": 1.7972806313850994e-06, + "loss": 0.4609, + "step": 5431 + }, + { + "epoch": 0.73, + "learning_rate": 1.7956099991389204e-06, + "loss": 0.4699, + "step": 5432 + }, + { + "epoch": 0.73, + "learning_rate": 1.7939399737562451e-06, + "loss": 0.4667, + "step": 5433 + }, + { + "epoch": 0.73, + "learning_rate": 1.7922705555533565e-06, + "loss": 0.4815, + "step": 5434 + }, + { + "epoch": 0.73, + "learning_rate": 1.790601744846418e-06, + "loss": 0.4792, + "step": 5435 + }, + { + "epoch": 0.73, + "learning_rate": 1.7889335419514735e-06, + "loss": 0.4797, + "step": 5436 + }, + { + "epoch": 0.73, + "learning_rate": 1.7872659471844572e-06, + "loss": 0.4537, + "step": 5437 + }, + { + "epoch": 0.73, + "learning_rate": 1.785598960861189e-06, + "loss": 0.4933, + "step": 5438 + }, + { + "epoch": 0.73, + "learning_rate": 1.7839325832973652e-06, + "loss": 0.4759, + "step": 5439 + }, + { + "epoch": 0.73, + "learning_rate": 1.782266814808578e-06, + "loss": 0.4557, + "step": 5440 + }, + { + "epoch": 0.73, + "learning_rate": 1.7806016557103001e-06, + "loss": 0.435, + "step": 5441 + }, + { + "epoch": 0.73, + "learning_rate": 1.778937106317883e-06, + "loss": 0.4886, + "step": 5442 + }, + { + "epoch": 0.73, + "learning_rate": 1.7772731669465699e-06, + "loss": 0.4508, + "step": 5443 + }, + { + "epoch": 0.73, + "learning_rate": 1.7756098379114873e-06, + "loss": 0.4645, + "step": 5444 + }, + { + "epoch": 0.73, + "learning_rate": 1.7739471195276397e-06, + "loss": 0.4872, + "step": 5445 + }, + { + "epoch": 0.73, + "learning_rate": 1.7722850121099267e-06, + "loss": 0.4352, + "step": 5446 + }, + { + "epoch": 0.73, + "learning_rate": 1.7706235159731262e-06, + "loss": 0.461, + "step": 5447 + }, + { + "epoch": 0.73, + "learning_rate": 1.768962631431897e-06, + "loss": 0.463, + "step": 5448 + }, + { + "epoch": 0.73, + "learning_rate": 1.7673023588007882e-06, + "loss": 0.4826, + "step": 5449 + }, + { + "epoch": 0.73, + "learning_rate": 1.7656426983942315e-06, + "loss": 0.47, + "step": 5450 + }, + { + "epoch": 0.73, + "learning_rate": 1.763983650526539e-06, + "loss": 0.462, + "step": 5451 + }, + { + "epoch": 0.73, + "learning_rate": 1.7623252155119113e-06, + "loss": 0.4353, + "step": 5452 + }, + { + "epoch": 0.73, + "learning_rate": 1.7606673936644303e-06, + "loss": 0.4847, + "step": 5453 + }, + { + "epoch": 0.73, + "learning_rate": 1.7590101852980635e-06, + "loss": 0.4396, + "step": 5454 + }, + { + "epoch": 0.73, + "learning_rate": 1.7573535907266625e-06, + "loss": 0.4848, + "step": 5455 + }, + { + "epoch": 0.73, + "learning_rate": 1.7556976102639583e-06, + "loss": 0.4774, + "step": 5456 + }, + { + "epoch": 0.73, + "learning_rate": 1.7540422442235712e-06, + "loss": 0.477, + "step": 5457 + }, + { + "epoch": 0.73, + "learning_rate": 1.7523874929190016e-06, + "loss": 0.4423, + "step": 5458 + }, + { + "epoch": 0.73, + "learning_rate": 1.7507333566636354e-06, + "loss": 0.4469, + "step": 5459 + }, + { + "epoch": 0.73, + "learning_rate": 1.7490798357707406e-06, + "loss": 0.4848, + "step": 5460 + }, + { + "epoch": 0.73, + "learning_rate": 1.747426930553472e-06, + "loss": 0.4772, + "step": 5461 + }, + { + "epoch": 0.73, + "learning_rate": 1.7457746413248612e-06, + "loss": 0.4826, + "step": 5462 + }, + { + "epoch": 0.73, + "learning_rate": 1.7441229683978277e-06, + "loss": 0.4967, + "step": 5463 + }, + { + "epoch": 0.73, + "learning_rate": 1.7424719120851757e-06, + "loss": 0.4735, + "step": 5464 + }, + { + "epoch": 0.73, + "learning_rate": 1.7408214726995892e-06, + "loss": 0.4705, + "step": 5465 + }, + { + "epoch": 0.73, + "learning_rate": 1.7391716505536365e-06, + "loss": 0.4688, + "step": 5466 + }, + { + "epoch": 0.73, + "learning_rate": 1.7375224459597716e-06, + "loss": 0.4724, + "step": 5467 + }, + { + "epoch": 0.73, + "learning_rate": 1.735873859230326e-06, + "loss": 0.4763, + "step": 5468 + }, + { + "epoch": 0.73, + "learning_rate": 1.7342258906775183e-06, + "loss": 0.4452, + "step": 5469 + }, + { + "epoch": 0.73, + "learning_rate": 1.7325785406134499e-06, + "loss": 0.4793, + "step": 5470 + }, + { + "epoch": 0.74, + "learning_rate": 1.7309318093501032e-06, + "loss": 0.4533, + "step": 5471 + }, + { + "epoch": 0.74, + "learning_rate": 1.7292856971993454e-06, + "loss": 0.4866, + "step": 5472 + }, + { + "epoch": 0.74, + "learning_rate": 1.7276402044729262e-06, + "loss": 0.4625, + "step": 5473 + }, + { + "epoch": 0.74, + "learning_rate": 1.725995331482475e-06, + "loss": 0.4999, + "step": 5474 + }, + { + "epoch": 0.74, + "learning_rate": 1.7243510785395074e-06, + "loss": 0.4747, + "step": 5475 + }, + { + "epoch": 0.74, + "learning_rate": 1.7227074459554206e-06, + "loss": 0.4766, + "step": 5476 + }, + { + "epoch": 0.74, + "learning_rate": 1.7210644340414928e-06, + "loss": 0.4557, + "step": 5477 + }, + { + "epoch": 0.74, + "learning_rate": 1.7194220431088887e-06, + "loss": 0.4891, + "step": 5478 + }, + { + "epoch": 0.74, + "learning_rate": 1.7177802734686494e-06, + "loss": 0.4756, + "step": 5479 + }, + { + "epoch": 0.74, + "learning_rate": 1.7161391254317023e-06, + "loss": 0.4237, + "step": 5480 + }, + { + "epoch": 0.74, + "learning_rate": 1.7144985993088563e-06, + "loss": 0.4726, + "step": 5481 + }, + { + "epoch": 0.74, + "learning_rate": 1.7128586954108035e-06, + "loss": 0.459, + "step": 5482 + }, + { + "epoch": 0.74, + "learning_rate": 1.7112194140481159e-06, + "loss": 0.4779, + "step": 5483 + }, + { + "epoch": 0.74, + "learning_rate": 1.7095807555312515e-06, + "loss": 0.467, + "step": 5484 + }, + { + "epoch": 0.74, + "learning_rate": 1.7079427201705439e-06, + "loss": 0.4658, + "step": 5485 + }, + { + "epoch": 0.74, + "learning_rate": 1.7063053082762143e-06, + "loss": 0.4853, + "step": 5486 + }, + { + "epoch": 0.74, + "learning_rate": 1.704668520158364e-06, + "loss": 0.4914, + "step": 5487 + }, + { + "epoch": 0.74, + "learning_rate": 1.7030323561269763e-06, + "loss": 0.4528, + "step": 5488 + }, + { + "epoch": 0.74, + "learning_rate": 1.7013968164919153e-06, + "loss": 0.4362, + "step": 5489 + }, + { + "epoch": 0.74, + "learning_rate": 1.6997619015629307e-06, + "loss": 0.4623, + "step": 5490 + }, + { + "epoch": 0.74, + "learning_rate": 1.698127611649647e-06, + "loss": 0.4968, + "step": 5491 + }, + { + "epoch": 0.74, + "learning_rate": 1.6964939470615754e-06, + "loss": 0.4568, + "step": 5492 + }, + { + "epoch": 0.74, + "learning_rate": 1.6948609081081087e-06, + "loss": 0.485, + "step": 5493 + }, + { + "epoch": 0.74, + "learning_rate": 1.693228495098519e-06, + "loss": 0.458, + "step": 5494 + }, + { + "epoch": 0.74, + "learning_rate": 1.691596708341961e-06, + "loss": 0.4863, + "step": 5495 + }, + { + "epoch": 0.74, + "learning_rate": 1.689965548147473e-06, + "loss": 0.4734, + "step": 5496 + }, + { + "epoch": 0.74, + "learning_rate": 1.6883350148239686e-06, + "loss": 0.4917, + "step": 5497 + }, + { + "epoch": 0.74, + "learning_rate": 1.6867051086802477e-06, + "loss": 0.4612, + "step": 5498 + }, + { + "epoch": 0.74, + "learning_rate": 1.6850758300249908e-06, + "loss": 0.462, + "step": 5499 + }, + { + "epoch": 0.74, + "learning_rate": 1.6834471791667583e-06, + "loss": 0.482, + "step": 5500 + }, + { + "epoch": 0.74, + "learning_rate": 1.681819156413993e-06, + "loss": 0.444, + "step": 5501 + }, + { + "epoch": 0.74, + "learning_rate": 1.6801917620750192e-06, + "loss": 0.4964, + "step": 5502 + }, + { + "epoch": 0.74, + "learning_rate": 1.6785649964580375e-06, + "loss": 0.4557, + "step": 5503 + }, + { + "epoch": 0.74, + "learning_rate": 1.6769388598711368e-06, + "loss": 0.4666, + "step": 5504 + }, + { + "epoch": 0.74, + "learning_rate": 1.6753133526222791e-06, + "loss": 0.4604, + "step": 5505 + }, + { + "epoch": 0.74, + "learning_rate": 1.6736884750193121e-06, + "loss": 0.445, + "step": 5506 + }, + { + "epoch": 0.74, + "learning_rate": 1.6720642273699677e-06, + "loss": 0.4824, + "step": 5507 + }, + { + "epoch": 0.74, + "learning_rate": 1.6704406099818494e-06, + "loss": 0.4676, + "step": 5508 + }, + { + "epoch": 0.74, + "learning_rate": 1.668817623162447e-06, + "loss": 0.4867, + "step": 5509 + }, + { + "epoch": 0.74, + "learning_rate": 1.6671952672191316e-06, + "loss": 0.49, + "step": 5510 + }, + { + "epoch": 0.74, + "learning_rate": 1.6655735424591507e-06, + "loss": 0.4445, + "step": 5511 + }, + { + "epoch": 0.74, + "learning_rate": 1.6639524491896342e-06, + "loss": 0.4725, + "step": 5512 + }, + { + "epoch": 0.74, + "learning_rate": 1.662331987717598e-06, + "loss": 0.4915, + "step": 5513 + }, + { + "epoch": 0.74, + "learning_rate": 1.660712158349928e-06, + "loss": 0.4672, + "step": 5514 + }, + { + "epoch": 0.74, + "learning_rate": 1.6590929613933976e-06, + "loss": 0.4791, + "step": 5515 + }, + { + "epoch": 0.74, + "learning_rate": 1.6574743971546597e-06, + "loss": 0.4738, + "step": 5516 + }, + { + "epoch": 0.74, + "learning_rate": 1.6558564659402437e-06, + "loss": 0.4919, + "step": 5517 + }, + { + "epoch": 0.74, + "learning_rate": 1.6542391680565606e-06, + "loss": 0.4519, + "step": 5518 + }, + { + "epoch": 0.74, + "learning_rate": 1.6526225038099076e-06, + "loss": 0.5007, + "step": 5519 + }, + { + "epoch": 0.74, + "learning_rate": 1.6510064735064525e-06, + "loss": 0.4852, + "step": 5520 + }, + { + "epoch": 0.74, + "learning_rate": 1.6493910774522476e-06, + "loss": 0.4526, + "step": 5521 + }, + { + "epoch": 0.74, + "learning_rate": 1.6477763159532272e-06, + "loss": 0.4728, + "step": 5522 + }, + { + "epoch": 0.74, + "learning_rate": 1.6461621893152002e-06, + "loss": 0.4918, + "step": 5523 + }, + { + "epoch": 0.74, + "learning_rate": 1.6445486978438568e-06, + "loss": 0.4524, + "step": 5524 + }, + { + "epoch": 0.74, + "learning_rate": 1.6429358418447738e-06, + "loss": 0.4951, + "step": 5525 + }, + { + "epoch": 0.74, + "learning_rate": 1.6413236216233975e-06, + "loss": 0.4656, + "step": 5526 + }, + { + "epoch": 0.74, + "learning_rate": 1.6397120374850584e-06, + "loss": 0.4416, + "step": 5527 + }, + { + "epoch": 0.74, + "learning_rate": 1.6381010897349697e-06, + "loss": 0.4683, + "step": 5528 + }, + { + "epoch": 0.74, + "learning_rate": 1.6364907786782165e-06, + "loss": 0.4649, + "step": 5529 + }, + { + "epoch": 0.74, + "learning_rate": 1.6348811046197694e-06, + "loss": 0.4616, + "step": 5530 + }, + { + "epoch": 0.74, + "learning_rate": 1.633272067864477e-06, + "loss": 0.4773, + "step": 5531 + }, + { + "epoch": 0.74, + "learning_rate": 1.6316636687170667e-06, + "loss": 0.4887, + "step": 5532 + }, + { + "epoch": 0.74, + "learning_rate": 1.6300559074821465e-06, + "loss": 0.466, + "step": 5533 + }, + { + "epoch": 0.74, + "learning_rate": 1.628448784464199e-06, + "loss": 0.4727, + "step": 5534 + }, + { + "epoch": 0.74, + "learning_rate": 1.6268422999675914e-06, + "loss": 0.4687, + "step": 5535 + }, + { + "epoch": 0.74, + "learning_rate": 1.6252364542965676e-06, + "loss": 0.4609, + "step": 5536 + }, + { + "epoch": 0.74, + "learning_rate": 1.6236312477552501e-06, + "loss": 0.4656, + "step": 5537 + }, + { + "epoch": 0.74, + "learning_rate": 1.622026680647642e-06, + "loss": 0.4722, + "step": 5538 + }, + { + "epoch": 0.74, + "learning_rate": 1.6204227532776257e-06, + "loss": 0.4633, + "step": 5539 + }, + { + "epoch": 0.74, + "learning_rate": 1.6188194659489575e-06, + "loss": 0.4492, + "step": 5540 + }, + { + "epoch": 0.74, + "learning_rate": 1.6172168189652777e-06, + "loss": 0.488, + "step": 5541 + }, + { + "epoch": 0.74, + "learning_rate": 1.615614812630103e-06, + "loss": 0.4618, + "step": 5542 + }, + { + "epoch": 0.74, + "learning_rate": 1.614013447246831e-06, + "loss": 0.462, + "step": 5543 + }, + { + "epoch": 0.74, + "learning_rate": 1.6124127231187349e-06, + "loss": 0.4368, + "step": 5544 + }, + { + "epoch": 0.74, + "learning_rate": 1.6108126405489705e-06, + "loss": 0.4855, + "step": 5545 + }, + { + "epoch": 0.75, + "learning_rate": 1.6092131998405653e-06, + "loss": 0.4517, + "step": 5546 + }, + { + "epoch": 0.75, + "learning_rate": 1.6076144012964318e-06, + "loss": 0.4901, + "step": 5547 + }, + { + "epoch": 0.75, + "learning_rate": 1.606016245219358e-06, + "loss": 0.4343, + "step": 5548 + }, + { + "epoch": 0.75, + "learning_rate": 1.6044187319120113e-06, + "loss": 0.4455, + "step": 5549 + }, + { + "epoch": 0.75, + "learning_rate": 1.6028218616769364e-06, + "loss": 0.4847, + "step": 5550 + }, + { + "epoch": 0.75, + "learning_rate": 1.6012256348165584e-06, + "loss": 0.4748, + "step": 5551 + }, + { + "epoch": 0.75, + "learning_rate": 1.5996300516331753e-06, + "loss": 0.4392, + "step": 5552 + }, + { + "epoch": 0.75, + "learning_rate": 1.598035112428969e-06, + "loss": 0.4282, + "step": 5553 + }, + { + "epoch": 0.75, + "learning_rate": 1.596440817505996e-06, + "loss": 0.4384, + "step": 5554 + }, + { + "epoch": 0.75, + "learning_rate": 1.594847167166193e-06, + "loss": 0.5078, + "step": 5555 + }, + { + "epoch": 0.75, + "learning_rate": 1.5932541617113744e-06, + "loss": 0.4779, + "step": 5556 + }, + { + "epoch": 0.75, + "learning_rate": 1.5916618014432284e-06, + "loss": 0.4765, + "step": 5557 + }, + { + "epoch": 0.75, + "learning_rate": 1.5900700866633267e-06, + "loss": 0.4869, + "step": 5558 + }, + { + "epoch": 0.75, + "learning_rate": 1.5884790176731163e-06, + "loss": 0.4519, + "step": 5559 + }, + { + "epoch": 0.75, + "learning_rate": 1.5868885947739187e-06, + "loss": 0.4609, + "step": 5560 + }, + { + "epoch": 0.75, + "learning_rate": 1.58529881826694e-06, + "loss": 0.4653, + "step": 5561 + }, + { + "epoch": 0.75, + "learning_rate": 1.58370968845326e-06, + "loss": 0.4799, + "step": 5562 + }, + { + "epoch": 0.75, + "learning_rate": 1.582121205633833e-06, + "loss": 0.4741, + "step": 5563 + }, + { + "epoch": 0.75, + "learning_rate": 1.5805333701094967e-06, + "loss": 0.442, + "step": 5564 + }, + { + "epoch": 0.75, + "learning_rate": 1.5789461821809631e-06, + "loss": 0.4575, + "step": 5565 + }, + { + "epoch": 0.75, + "learning_rate": 1.577359642148818e-06, + "loss": 0.471, + "step": 5566 + }, + { + "epoch": 0.75, + "learning_rate": 1.5757737503135334e-06, + "loss": 0.4299, + "step": 5567 + }, + { + "epoch": 0.75, + "learning_rate": 1.5741885069754526e-06, + "loss": 0.4583, + "step": 5568 + }, + { + "epoch": 0.75, + "learning_rate": 1.5726039124347947e-06, + "loss": 0.5232, + "step": 5569 + }, + { + "epoch": 0.75, + "learning_rate": 1.5710199669916592e-06, + "loss": 0.4667, + "step": 5570 + }, + { + "epoch": 0.75, + "learning_rate": 1.5694366709460236e-06, + "loss": 0.4837, + "step": 5571 + }, + { + "epoch": 0.75, + "learning_rate": 1.5678540245977352e-06, + "loss": 0.4599, + "step": 5572 + }, + { + "epoch": 0.75, + "learning_rate": 1.5662720282465288e-06, + "loss": 0.4867, + "step": 5573 + }, + { + "epoch": 0.75, + "learning_rate": 1.5646906821920104e-06, + "loss": 0.4561, + "step": 5574 + }, + { + "epoch": 0.75, + "learning_rate": 1.5631099867336607e-06, + "loss": 0.471, + "step": 5575 + }, + { + "epoch": 0.75, + "learning_rate": 1.5615299421708412e-06, + "loss": 0.4536, + "step": 5576 + }, + { + "epoch": 0.75, + "learning_rate": 1.55995054880279e-06, + "loss": 0.4533, + "step": 5577 + }, + { + "epoch": 0.75, + "learning_rate": 1.5583718069286151e-06, + "loss": 0.4792, + "step": 5578 + }, + { + "epoch": 0.75, + "learning_rate": 1.556793716847313e-06, + "loss": 0.4723, + "step": 5579 + }, + { + "epoch": 0.75, + "learning_rate": 1.555216278857749e-06, + "loss": 0.4795, + "step": 5580 + }, + { + "epoch": 0.75, + "learning_rate": 1.553639493258664e-06, + "loss": 0.4649, + "step": 5581 + }, + { + "epoch": 0.75, + "learning_rate": 1.55206336034868e-06, + "loss": 0.4777, + "step": 5582 + }, + { + "epoch": 0.75, + "learning_rate": 1.5504878804262902e-06, + "loss": 0.4651, + "step": 5583 + }, + { + "epoch": 0.75, + "learning_rate": 1.5489130537898683e-06, + "loss": 0.4616, + "step": 5584 + }, + { + "epoch": 0.75, + "learning_rate": 1.5473388807376632e-06, + "loss": 0.4971, + "step": 5585 + }, + { + "epoch": 0.75, + "learning_rate": 1.5457653615677991e-06, + "loss": 0.4241, + "step": 5586 + }, + { + "epoch": 0.75, + "learning_rate": 1.544192496578278e-06, + "loss": 0.4496, + "step": 5587 + }, + { + "epoch": 0.75, + "learning_rate": 1.5426202860669776e-06, + "loss": 0.461, + "step": 5588 + }, + { + "epoch": 0.75, + "learning_rate": 1.5410487303316484e-06, + "loss": 0.5144, + "step": 5589 + }, + { + "epoch": 0.75, + "learning_rate": 1.5394778296699215e-06, + "loss": 0.4638, + "step": 5590 + }, + { + "epoch": 0.75, + "learning_rate": 1.5379075843793006e-06, + "loss": 0.4623, + "step": 5591 + }, + { + "epoch": 0.75, + "learning_rate": 1.5363379947571678e-06, + "loss": 0.5175, + "step": 5592 + }, + { + "epoch": 0.75, + "learning_rate": 1.5347690611007798e-06, + "loss": 0.4863, + "step": 5593 + }, + { + "epoch": 0.75, + "learning_rate": 1.5332007837072704e-06, + "loss": 0.4602, + "step": 5594 + }, + { + "epoch": 0.75, + "learning_rate": 1.5316331628736447e-06, + "loss": 0.4885, + "step": 5595 + }, + { + "epoch": 0.75, + "learning_rate": 1.5300661988967885e-06, + "loss": 0.429, + "step": 5596 + }, + { + "epoch": 0.75, + "learning_rate": 1.5284998920734611e-06, + "loss": 0.4588, + "step": 5597 + }, + { + "epoch": 0.75, + "learning_rate": 1.526934242700298e-06, + "loss": 0.4561, + "step": 5598 + }, + { + "epoch": 0.75, + "learning_rate": 1.5253692510738087e-06, + "loss": 0.4814, + "step": 5599 + }, + { + "epoch": 0.75, + "learning_rate": 1.5238049174903824e-06, + "loss": 0.4502, + "step": 5600 + }, + { + "epoch": 0.75, + "learning_rate": 1.5222412422462756e-06, + "loss": 0.4675, + "step": 5601 + }, + { + "epoch": 0.75, + "learning_rate": 1.5206782256376273e-06, + "loss": 0.4534, + "step": 5602 + }, + { + "epoch": 0.75, + "learning_rate": 1.51911586796045e-06, + "loss": 0.4643, + "step": 5603 + }, + { + "epoch": 0.75, + "learning_rate": 1.51755416951063e-06, + "loss": 0.4751, + "step": 5604 + }, + { + "epoch": 0.75, + "learning_rate": 1.5159931305839304e-06, + "loss": 0.5096, + "step": 5605 + }, + { + "epoch": 0.75, + "learning_rate": 1.5144327514759893e-06, + "loss": 0.4631, + "step": 5606 + }, + { + "epoch": 0.75, + "learning_rate": 1.5128730324823166e-06, + "loss": 0.485, + "step": 5607 + }, + { + "epoch": 0.75, + "learning_rate": 1.5113139738983013e-06, + "loss": 0.4923, + "step": 5608 + }, + { + "epoch": 0.75, + "learning_rate": 1.5097555760192056e-06, + "loss": 0.4305, + "step": 5609 + }, + { + "epoch": 0.75, + "learning_rate": 1.5081978391401663e-06, + "loss": 0.472, + "step": 5610 + }, + { + "epoch": 0.75, + "learning_rate": 1.5066407635561981e-06, + "loss": 0.453, + "step": 5611 + }, + { + "epoch": 0.75, + "learning_rate": 1.5050843495621837e-06, + "loss": 0.4637, + "step": 5612 + }, + { + "epoch": 0.75, + "learning_rate": 1.5035285974528869e-06, + "loss": 0.4956, + "step": 5613 + }, + { + "epoch": 0.75, + "learning_rate": 1.501973507522943e-06, + "loss": 0.4796, + "step": 5614 + }, + { + "epoch": 0.75, + "learning_rate": 1.5004190800668633e-06, + "loss": 0.4745, + "step": 5615 + }, + { + "epoch": 0.75, + "learning_rate": 1.4988653153790333e-06, + "loss": 0.465, + "step": 5616 + }, + { + "epoch": 0.75, + "learning_rate": 1.4973122137537145e-06, + "loss": 0.4747, + "step": 5617 + }, + { + "epoch": 0.75, + "learning_rate": 1.4957597754850367e-06, + "loss": 0.4761, + "step": 5618 + }, + { + "epoch": 0.75, + "learning_rate": 1.4942080008670113e-06, + "loss": 0.4955, + "step": 5619 + }, + { + "epoch": 0.76, + "learning_rate": 1.4926568901935212e-06, + "loss": 0.4731, + "step": 5620 + }, + { + "epoch": 0.76, + "learning_rate": 1.4911064437583227e-06, + "loss": 0.4694, + "step": 5621 + }, + { + "epoch": 0.76, + "learning_rate": 1.4895566618550477e-06, + "loss": 0.4828, + "step": 5622 + }, + { + "epoch": 0.76, + "learning_rate": 1.488007544777203e-06, + "loss": 0.4105, + "step": 5623 + }, + { + "epoch": 0.76, + "learning_rate": 1.4864590928181656e-06, + "loss": 0.4612, + "step": 5624 + }, + { + "epoch": 0.76, + "learning_rate": 1.4849113062711896e-06, + "loss": 0.497, + "step": 5625 + }, + { + "epoch": 0.76, + "learning_rate": 1.483364185429404e-06, + "loss": 0.453, + "step": 5626 + }, + { + "epoch": 0.76, + "learning_rate": 1.4818177305858096e-06, + "loss": 0.4845, + "step": 5627 + }, + { + "epoch": 0.76, + "learning_rate": 1.480271942033281e-06, + "loss": 0.444, + "step": 5628 + }, + { + "epoch": 0.76, + "learning_rate": 1.478726820064571e-06, + "loss": 0.452, + "step": 5629 + }, + { + "epoch": 0.76, + "learning_rate": 1.4771823649722977e-06, + "loss": 0.5115, + "step": 5630 + }, + { + "epoch": 0.76, + "learning_rate": 1.4756385770489602e-06, + "loss": 0.4565, + "step": 5631 + }, + { + "epoch": 0.76, + "learning_rate": 1.474095456586928e-06, + "loss": 0.4427, + "step": 5632 + }, + { + "epoch": 0.76, + "learning_rate": 1.4725530038784458e-06, + "loss": 0.46, + "step": 5633 + }, + { + "epoch": 0.76, + "learning_rate": 1.471011219215633e-06, + "loss": 0.4638, + "step": 5634 + }, + { + "epoch": 0.76, + "learning_rate": 1.4694701028904762e-06, + "loss": 0.4439, + "step": 5635 + }, + { + "epoch": 0.76, + "learning_rate": 1.4679296551948418e-06, + "loss": 0.4709, + "step": 5636 + }, + { + "epoch": 0.76, + "learning_rate": 1.4663898764204699e-06, + "loss": 0.4867, + "step": 5637 + }, + { + "epoch": 0.76, + "learning_rate": 1.4648507668589669e-06, + "loss": 0.4614, + "step": 5638 + }, + { + "epoch": 0.76, + "learning_rate": 1.4633123268018184e-06, + "loss": 0.4718, + "step": 5639 + }, + { + "epoch": 0.76, + "learning_rate": 1.4617745565403862e-06, + "loss": 0.4705, + "step": 5640 + }, + { + "epoch": 0.76, + "learning_rate": 1.4602374563658966e-06, + "loss": 0.4813, + "step": 5641 + }, + { + "epoch": 0.76, + "learning_rate": 1.458701026569454e-06, + "loss": 0.4879, + "step": 5642 + }, + { + "epoch": 0.76, + "learning_rate": 1.4571652674420378e-06, + "loss": 0.4627, + "step": 5643 + }, + { + "epoch": 0.76, + "learning_rate": 1.4556301792744941e-06, + "loss": 0.4861, + "step": 5644 + }, + { + "epoch": 0.76, + "learning_rate": 1.4540957623575458e-06, + "loss": 0.4535, + "step": 5645 + }, + { + "epoch": 0.76, + "learning_rate": 1.4525620169817933e-06, + "loss": 0.4656, + "step": 5646 + }, + { + "epoch": 0.76, + "learning_rate": 1.4510289434376994e-06, + "loss": 0.4886, + "step": 5647 + }, + { + "epoch": 0.76, + "learning_rate": 1.4494965420156087e-06, + "loss": 0.476, + "step": 5648 + }, + { + "epoch": 0.76, + "learning_rate": 1.447964813005735e-06, + "loss": 0.4753, + "step": 5649 + }, + { + "epoch": 0.76, + "learning_rate": 1.4464337566981623e-06, + "loss": 0.4734, + "step": 5650 + }, + { + "epoch": 0.76, + "learning_rate": 1.44490337338285e-06, + "loss": 0.4749, + "step": 5651 + }, + { + "epoch": 0.76, + "learning_rate": 1.4433736633496343e-06, + "loss": 0.4765, + "step": 5652 + }, + { + "epoch": 0.76, + "learning_rate": 1.4418446268882146e-06, + "loss": 0.4585, + "step": 5653 + }, + { + "epoch": 0.76, + "learning_rate": 1.440316264288169e-06, + "loss": 0.4625, + "step": 5654 + }, + { + "epoch": 0.76, + "learning_rate": 1.438788575838948e-06, + "loss": 0.4716, + "step": 5655 + }, + { + "epoch": 0.76, + "learning_rate": 1.4372615618298701e-06, + "loss": 0.4764, + "step": 5656 + }, + { + "epoch": 0.76, + "learning_rate": 1.435735222550131e-06, + "loss": 0.4593, + "step": 5657 + }, + { + "epoch": 0.76, + "learning_rate": 1.434209558288795e-06, + "loss": 0.4873, + "step": 5658 + }, + { + "epoch": 0.76, + "learning_rate": 1.4326845693348013e-06, + "loss": 0.4688, + "step": 5659 + }, + { + "epoch": 0.76, + "learning_rate": 1.4311602559769615e-06, + "loss": 0.5018, + "step": 5660 + }, + { + "epoch": 0.76, + "learning_rate": 1.429636618503954e-06, + "loss": 0.4808, + "step": 5661 + }, + { + "epoch": 0.76, + "learning_rate": 1.4281136572043347e-06, + "loss": 0.4565, + "step": 5662 + }, + { + "epoch": 0.76, + "learning_rate": 1.4265913723665299e-06, + "loss": 0.4588, + "step": 5663 + }, + { + "epoch": 0.76, + "learning_rate": 1.4250697642788375e-06, + "loss": 0.4756, + "step": 5664 + }, + { + "epoch": 0.76, + "learning_rate": 1.4235488332294274e-06, + "loss": 0.4427, + "step": 5665 + }, + { + "epoch": 0.76, + "learning_rate": 1.422028579506342e-06, + "loss": 0.4981, + "step": 5666 + }, + { + "epoch": 0.76, + "learning_rate": 1.4205090033974928e-06, + "loss": 0.4671, + "step": 5667 + }, + { + "epoch": 0.76, + "learning_rate": 1.418990105190665e-06, + "loss": 0.4675, + "step": 5668 + }, + { + "epoch": 0.76, + "learning_rate": 1.417471885173516e-06, + "loss": 0.4375, + "step": 5669 + }, + { + "epoch": 0.76, + "learning_rate": 1.4159543436335738e-06, + "loss": 0.4623, + "step": 5670 + }, + { + "epoch": 0.76, + "learning_rate": 1.4144374808582379e-06, + "loss": 0.4889, + "step": 5671 + }, + { + "epoch": 0.76, + "learning_rate": 1.412921297134781e-06, + "loss": 0.4643, + "step": 5672 + }, + { + "epoch": 0.76, + "learning_rate": 1.4114057927503426e-06, + "loss": 0.4455, + "step": 5673 + }, + { + "epoch": 0.76, + "learning_rate": 1.409890967991938e-06, + "loss": 0.4688, + "step": 5674 + }, + { + "epoch": 0.76, + "learning_rate": 1.4083768231464529e-06, + "loss": 0.4722, + "step": 5675 + }, + { + "epoch": 0.76, + "learning_rate": 1.4068633585006425e-06, + "loss": 0.4673, + "step": 5676 + }, + { + "epoch": 0.76, + "learning_rate": 1.4053505743411355e-06, + "loss": 0.4967, + "step": 5677 + }, + { + "epoch": 0.76, + "learning_rate": 1.4038384709544312e-06, + "loss": 0.4577, + "step": 5678 + }, + { + "epoch": 0.76, + "learning_rate": 1.4023270486268969e-06, + "loss": 0.464, + "step": 5679 + }, + { + "epoch": 0.76, + "learning_rate": 1.400816307644775e-06, + "loss": 0.4702, + "step": 5680 + }, + { + "epoch": 0.76, + "learning_rate": 1.3993062482941766e-06, + "loss": 0.4656, + "step": 5681 + }, + { + "epoch": 0.76, + "learning_rate": 1.3977968708610844e-06, + "loss": 0.4418, + "step": 5682 + }, + { + "epoch": 0.76, + "learning_rate": 1.3962881756313528e-06, + "loss": 0.4926, + "step": 5683 + }, + { + "epoch": 0.76, + "learning_rate": 1.3947801628907066e-06, + "loss": 0.4453, + "step": 5684 + }, + { + "epoch": 0.76, + "learning_rate": 1.393272832924738e-06, + "loss": 0.481, + "step": 5685 + }, + { + "epoch": 0.76, + "learning_rate": 1.3917661860189163e-06, + "loss": 0.4749, + "step": 5686 + }, + { + "epoch": 0.76, + "learning_rate": 1.3902602224585732e-06, + "loss": 0.4737, + "step": 5687 + }, + { + "epoch": 0.76, + "learning_rate": 1.3887549425289197e-06, + "loss": 0.4543, + "step": 5688 + }, + { + "epoch": 0.76, + "learning_rate": 1.3872503465150339e-06, + "loss": 0.4754, + "step": 5689 + }, + { + "epoch": 0.76, + "learning_rate": 1.3857464347018602e-06, + "loss": 0.4665, + "step": 5690 + }, + { + "epoch": 0.76, + "learning_rate": 1.3842432073742185e-06, + "loss": 0.4632, + "step": 5691 + }, + { + "epoch": 0.76, + "learning_rate": 1.3827406648167996e-06, + "loss": 0.4592, + "step": 5692 + }, + { + "epoch": 0.76, + "learning_rate": 1.3812388073141576e-06, + "loss": 0.4698, + "step": 5693 + }, + { + "epoch": 0.77, + "learning_rate": 1.3797376351507263e-06, + "loss": 0.4647, + "step": 5694 + }, + { + "epoch": 0.77, + "learning_rate": 1.378237148610806e-06, + "loss": 0.4663, + "step": 5695 + }, + { + "epoch": 0.77, + "learning_rate": 1.3767373479785623e-06, + "loss": 0.4676, + "step": 5696 + }, + { + "epoch": 0.77, + "learning_rate": 1.375238233538037e-06, + "loss": 0.4758, + "step": 5697 + }, + { + "epoch": 0.77, + "learning_rate": 1.373739805573142e-06, + "loss": 0.4596, + "step": 5698 + }, + { + "epoch": 0.77, + "learning_rate": 1.3722420643676516e-06, + "loss": 0.4939, + "step": 5699 + }, + { + "epoch": 0.77, + "learning_rate": 1.3707450102052211e-06, + "loss": 0.4605, + "step": 5700 + }, + { + "epoch": 0.77, + "learning_rate": 1.3692486433693692e-06, + "loss": 0.4633, + "step": 5701 + }, + { + "epoch": 0.77, + "learning_rate": 1.3677529641434828e-06, + "loss": 0.503, + "step": 5702 + }, + { + "epoch": 0.77, + "learning_rate": 1.3662579728108227e-06, + "loss": 0.4934, + "step": 5703 + }, + { + "epoch": 0.77, + "learning_rate": 1.3647636696545192e-06, + "loss": 0.4774, + "step": 5704 + }, + { + "epoch": 0.77, + "learning_rate": 1.3632700549575667e-06, + "loss": 0.477, + "step": 5705 + }, + { + "epoch": 0.77, + "learning_rate": 1.3617771290028382e-06, + "loss": 0.48, + "step": 5706 + }, + { + "epoch": 0.77, + "learning_rate": 1.3602848920730705e-06, + "loss": 0.4637, + "step": 5707 + }, + { + "epoch": 0.77, + "learning_rate": 1.3587933444508689e-06, + "loss": 0.4463, + "step": 5708 + }, + { + "epoch": 0.77, + "learning_rate": 1.3573024864187134e-06, + "loss": 0.4747, + "step": 5709 + }, + { + "epoch": 0.77, + "learning_rate": 1.355812318258946e-06, + "loss": 0.4498, + "step": 5710 + }, + { + "epoch": 0.77, + "learning_rate": 1.354322840253785e-06, + "loss": 0.4609, + "step": 5711 + }, + { + "epoch": 0.77, + "learning_rate": 1.3528340526853145e-06, + "loss": 0.4329, + "step": 5712 + }, + { + "epoch": 0.77, + "learning_rate": 1.3513459558354892e-06, + "loss": 0.4933, + "step": 5713 + }, + { + "epoch": 0.77, + "learning_rate": 1.3498585499861317e-06, + "loss": 0.4544, + "step": 5714 + }, + { + "epoch": 0.77, + "learning_rate": 1.3483718354189356e-06, + "loss": 0.4812, + "step": 5715 + }, + { + "epoch": 0.77, + "learning_rate": 1.3468858124154605e-06, + "loss": 0.473, + "step": 5716 + }, + { + "epoch": 0.77, + "learning_rate": 1.345400481257138e-06, + "loss": 0.477, + "step": 5717 + }, + { + "epoch": 0.77, + "learning_rate": 1.3439158422252674e-06, + "loss": 0.4858, + "step": 5718 + }, + { + "epoch": 0.77, + "learning_rate": 1.342431895601017e-06, + "loss": 0.4676, + "step": 5719 + }, + { + "epoch": 0.77, + "learning_rate": 1.3409486416654243e-06, + "loss": 0.4493, + "step": 5720 + }, + { + "epoch": 0.77, + "learning_rate": 1.339466080699397e-06, + "loss": 0.5007, + "step": 5721 + }, + { + "epoch": 0.77, + "learning_rate": 1.3379842129837066e-06, + "loss": 0.4656, + "step": 5722 + }, + { + "epoch": 0.77, + "learning_rate": 1.3365030387989986e-06, + "loss": 0.4859, + "step": 5723 + }, + { + "epoch": 0.77, + "learning_rate": 1.3350225584257853e-06, + "loss": 0.4464, + "step": 5724 + }, + { + "epoch": 0.77, + "learning_rate": 1.3335427721444466e-06, + "loss": 0.4468, + "step": 5725 + }, + { + "epoch": 0.77, + "learning_rate": 1.3320636802352328e-06, + "loss": 0.4763, + "step": 5726 + }, + { + "epoch": 0.77, + "learning_rate": 1.330585282978263e-06, + "loss": 0.475, + "step": 5727 + }, + { + "epoch": 0.77, + "learning_rate": 1.3291075806535203e-06, + "loss": 0.4406, + "step": 5728 + }, + { + "epoch": 0.77, + "learning_rate": 1.3276305735408613e-06, + "loss": 0.4901, + "step": 5729 + }, + { + "epoch": 0.77, + "learning_rate": 1.326154261920009e-06, + "loss": 0.4716, + "step": 5730 + }, + { + "epoch": 0.77, + "learning_rate": 1.3246786460705547e-06, + "loss": 0.4736, + "step": 5731 + }, + { + "epoch": 0.77, + "learning_rate": 1.3232037262719571e-06, + "loss": 0.4533, + "step": 5732 + }, + { + "epoch": 0.77, + "learning_rate": 1.3217295028035466e-06, + "loss": 0.4409, + "step": 5733 + }, + { + "epoch": 0.77, + "learning_rate": 1.3202559759445156e-06, + "loss": 0.4644, + "step": 5734 + }, + { + "epoch": 0.77, + "learning_rate": 1.3187831459739298e-06, + "loss": 0.5116, + "step": 5735 + }, + { + "epoch": 0.77, + "learning_rate": 1.31731101317072e-06, + "loss": 0.4672, + "step": 5736 + }, + { + "epoch": 0.77, + "learning_rate": 1.3158395778136879e-06, + "loss": 0.4542, + "step": 5737 + }, + { + "epoch": 0.77, + "learning_rate": 1.314368840181502e-06, + "loss": 0.4472, + "step": 5738 + }, + { + "epoch": 0.77, + "learning_rate": 1.3128988005526943e-06, + "loss": 0.4796, + "step": 5739 + }, + { + "epoch": 0.77, + "learning_rate": 1.311429459205671e-06, + "loss": 0.4364, + "step": 5740 + }, + { + "epoch": 0.77, + "learning_rate": 1.3099608164187027e-06, + "loss": 0.4562, + "step": 5741 + }, + { + "epoch": 0.77, + "learning_rate": 1.308492872469928e-06, + "loss": 0.4721, + "step": 5742 + }, + { + "epoch": 0.77, + "learning_rate": 1.307025627637355e-06, + "loss": 0.4537, + "step": 5743 + }, + { + "epoch": 0.77, + "learning_rate": 1.3055590821988573e-06, + "loss": 0.4472, + "step": 5744 + }, + { + "epoch": 0.77, + "learning_rate": 1.3040932364321757e-06, + "loss": 0.4793, + "step": 5745 + }, + { + "epoch": 0.77, + "learning_rate": 1.3026280906149197e-06, + "loss": 0.48, + "step": 5746 + }, + { + "epoch": 0.77, + "learning_rate": 1.3011636450245657e-06, + "loss": 0.4781, + "step": 5747 + }, + { + "epoch": 0.77, + "learning_rate": 1.2996998999384591e-06, + "loss": 0.5289, + "step": 5748 + }, + { + "epoch": 0.77, + "learning_rate": 1.2982368556338105e-06, + "loss": 0.4637, + "step": 5749 + }, + { + "epoch": 0.77, + "learning_rate": 1.2967745123877002e-06, + "loss": 0.4658, + "step": 5750 + }, + { + "epoch": 0.77, + "learning_rate": 1.2953128704770706e-06, + "loss": 0.4796, + "step": 5751 + }, + { + "epoch": 0.77, + "learning_rate": 1.2938519301787372e-06, + "loss": 0.4619, + "step": 5752 + }, + { + "epoch": 0.77, + "learning_rate": 1.29239169176938e-06, + "loss": 0.4855, + "step": 5753 + }, + { + "epoch": 0.77, + "learning_rate": 1.2909321555255461e-06, + "loss": 0.4502, + "step": 5754 + }, + { + "epoch": 0.77, + "learning_rate": 1.2894733217236495e-06, + "loss": 0.4583, + "step": 5755 + }, + { + "epoch": 0.77, + "learning_rate": 1.2880151906399735e-06, + "loss": 0.4072, + "step": 5756 + }, + { + "epoch": 0.77, + "learning_rate": 1.286557762550663e-06, + "loss": 0.4405, + "step": 5757 + }, + { + "epoch": 0.77, + "learning_rate": 1.2851010377317353e-06, + "loss": 0.4637, + "step": 5758 + }, + { + "epoch": 0.77, + "learning_rate": 1.2836450164590714e-06, + "loss": 0.4607, + "step": 5759 + }, + { + "epoch": 0.77, + "learning_rate": 1.2821896990084203e-06, + "loss": 0.4799, + "step": 5760 + }, + { + "epoch": 0.77, + "learning_rate": 1.2807350856553985e-06, + "loss": 0.4554, + "step": 5761 + }, + { + "epoch": 0.77, + "learning_rate": 1.2792811766754854e-06, + "loss": 0.4542, + "step": 5762 + }, + { + "epoch": 0.77, + "learning_rate": 1.2778279723440312e-06, + "loss": 0.4626, + "step": 5763 + }, + { + "epoch": 0.77, + "learning_rate": 1.2763754729362521e-06, + "loss": 0.4472, + "step": 5764 + }, + { + "epoch": 0.77, + "learning_rate": 1.2749236787272267e-06, + "loss": 0.5004, + "step": 5765 + }, + { + "epoch": 0.77, + "learning_rate": 1.2734725899919037e-06, + "loss": 0.4485, + "step": 5766 + }, + { + "epoch": 0.77, + "learning_rate": 1.272022207005102e-06, + "loss": 0.501, + "step": 5767 + }, + { + "epoch": 0.77, + "learning_rate": 1.2705725300414972e-06, + "loss": 0.4524, + "step": 5768 + }, + { + "epoch": 0.78, + "learning_rate": 1.269123559375639e-06, + "loss": 0.4642, + "step": 5769 + }, + { + "epoch": 0.78, + "learning_rate": 1.2676752952819415e-06, + "loss": 0.465, + "step": 5770 + }, + { + "epoch": 0.78, + "learning_rate": 1.266227738034681e-06, + "loss": 0.4732, + "step": 5771 + }, + { + "epoch": 0.78, + "learning_rate": 1.2647808879080042e-06, + "loss": 0.472, + "step": 5772 + }, + { + "epoch": 0.78, + "learning_rate": 1.263334745175926e-06, + "loss": 0.4729, + "step": 5773 + }, + { + "epoch": 0.78, + "learning_rate": 1.261889310112321e-06, + "loss": 0.489, + "step": 5774 + }, + { + "epoch": 0.78, + "learning_rate": 1.260444582990934e-06, + "loss": 0.4422, + "step": 5775 + }, + { + "epoch": 0.78, + "learning_rate": 1.259000564085376e-06, + "loss": 0.491, + "step": 5776 + }, + { + "epoch": 0.78, + "learning_rate": 1.2575572536691195e-06, + "loss": 0.4355, + "step": 5777 + }, + { + "epoch": 0.78, + "learning_rate": 1.256114652015506e-06, + "loss": 0.5042, + "step": 5778 + }, + { + "epoch": 0.78, + "learning_rate": 1.254672759397747e-06, + "loss": 0.4788, + "step": 5779 + }, + { + "epoch": 0.78, + "learning_rate": 1.2532315760889113e-06, + "loss": 0.4509, + "step": 5780 + }, + { + "epoch": 0.78, + "learning_rate": 1.2517911023619394e-06, + "loss": 0.4767, + "step": 5781 + }, + { + "epoch": 0.78, + "learning_rate": 1.2503513384896354e-06, + "loss": 0.4631, + "step": 5782 + }, + { + "epoch": 0.78, + "learning_rate": 1.2489122847446676e-06, + "loss": 0.4809, + "step": 5783 + }, + { + "epoch": 0.78, + "learning_rate": 1.2474739413995702e-06, + "loss": 0.4829, + "step": 5784 + }, + { + "epoch": 0.78, + "learning_rate": 1.246036308726749e-06, + "loss": 0.4499, + "step": 5785 + }, + { + "epoch": 0.78, + "learning_rate": 1.2445993869984657e-06, + "loss": 0.4774, + "step": 5786 + }, + { + "epoch": 0.78, + "learning_rate": 1.243163176486854e-06, + "loss": 0.4923, + "step": 5787 + }, + { + "epoch": 0.78, + "learning_rate": 1.2417276774639081e-06, + "loss": 0.4696, + "step": 5788 + }, + { + "epoch": 0.78, + "learning_rate": 1.240292890201492e-06, + "loss": 0.5015, + "step": 5789 + }, + { + "epoch": 0.78, + "learning_rate": 1.238858814971332e-06, + "loss": 0.4391, + "step": 5790 + }, + { + "epoch": 0.78, + "learning_rate": 1.2374254520450213e-06, + "loss": 0.4369, + "step": 5791 + }, + { + "epoch": 0.78, + "learning_rate": 1.235992801694017e-06, + "loss": 0.4659, + "step": 5792 + }, + { + "epoch": 0.78, + "learning_rate": 1.2345608641896434e-06, + "loss": 0.4548, + "step": 5793 + }, + { + "epoch": 0.78, + "learning_rate": 1.233129639803085e-06, + "loss": 0.4335, + "step": 5794 + }, + { + "epoch": 0.78, + "learning_rate": 1.2316991288053954e-06, + "loss": 0.4626, + "step": 5795 + }, + { + "epoch": 0.78, + "learning_rate": 1.2302693314674924e-06, + "loss": 0.4619, + "step": 5796 + }, + { + "epoch": 0.78, + "learning_rate": 1.2288402480601574e-06, + "loss": 0.4868, + "step": 5797 + }, + { + "epoch": 0.78, + "learning_rate": 1.2274118788540385e-06, + "loss": 0.462, + "step": 5798 + }, + { + "epoch": 0.78, + "learning_rate": 1.2259842241196484e-06, + "loss": 0.4773, + "step": 5799 + }, + { + "epoch": 0.78, + "learning_rate": 1.2245572841273607e-06, + "loss": 0.434, + "step": 5800 + }, + { + "epoch": 0.78, + "learning_rate": 1.2231310591474177e-06, + "loss": 0.4814, + "step": 5801 + }, + { + "epoch": 0.78, + "learning_rate": 1.221705549449926e-06, + "loss": 0.4415, + "step": 5802 + }, + { + "epoch": 0.78, + "learning_rate": 1.220280755304854e-06, + "loss": 0.4542, + "step": 5803 + }, + { + "epoch": 0.78, + "learning_rate": 1.2188566769820382e-06, + "loss": 0.4863, + "step": 5804 + }, + { + "epoch": 0.78, + "learning_rate": 1.217433314751178e-06, + "loss": 0.4678, + "step": 5805 + }, + { + "epoch": 0.78, + "learning_rate": 1.2160106688818346e-06, + "loss": 0.4834, + "step": 5806 + }, + { + "epoch": 0.78, + "learning_rate": 1.2145887396434368e-06, + "loss": 0.4483, + "step": 5807 + }, + { + "epoch": 0.78, + "learning_rate": 1.2131675273052778e-06, + "loss": 0.441, + "step": 5808 + }, + { + "epoch": 0.78, + "learning_rate": 1.2117470321365126e-06, + "loss": 0.4755, + "step": 5809 + }, + { + "epoch": 0.78, + "learning_rate": 1.2103272544061623e-06, + "loss": 0.4536, + "step": 5810 + }, + { + "epoch": 0.78, + "learning_rate": 1.2089081943831133e-06, + "loss": 0.466, + "step": 5811 + }, + { + "epoch": 0.78, + "learning_rate": 1.207489852336111e-06, + "loss": 0.4506, + "step": 5812 + }, + { + "epoch": 0.78, + "learning_rate": 1.2060722285337695e-06, + "loss": 0.4575, + "step": 5813 + }, + { + "epoch": 0.78, + "learning_rate": 1.2046553232445663e-06, + "loss": 0.4895, + "step": 5814 + }, + { + "epoch": 0.78, + "learning_rate": 1.2032391367368406e-06, + "loss": 0.448, + "step": 5815 + }, + { + "epoch": 0.78, + "learning_rate": 1.2018236692788005e-06, + "loss": 0.462, + "step": 5816 + }, + { + "epoch": 0.78, + "learning_rate": 1.2004089211385094e-06, + "loss": 0.4859, + "step": 5817 + }, + { + "epoch": 0.78, + "learning_rate": 1.1989948925839017e-06, + "loss": 0.4625, + "step": 5818 + }, + { + "epoch": 0.78, + "learning_rate": 1.1975815838827754e-06, + "loss": 0.4956, + "step": 5819 + }, + { + "epoch": 0.78, + "learning_rate": 1.1961689953027844e-06, + "loss": 0.5015, + "step": 5820 + }, + { + "epoch": 0.78, + "learning_rate": 1.1947571271114572e-06, + "loss": 0.505, + "step": 5821 + }, + { + "epoch": 0.78, + "learning_rate": 1.1933459795761799e-06, + "loss": 0.4681, + "step": 5822 + }, + { + "epoch": 0.78, + "learning_rate": 1.1919355529641996e-06, + "loss": 0.4888, + "step": 5823 + }, + { + "epoch": 0.78, + "learning_rate": 1.1905258475426323e-06, + "loss": 0.5005, + "step": 5824 + }, + { + "epoch": 0.78, + "learning_rate": 1.1891168635784562e-06, + "loss": 0.489, + "step": 5825 + }, + { + "epoch": 0.78, + "learning_rate": 1.187708601338507e-06, + "loss": 0.4653, + "step": 5826 + }, + { + "epoch": 0.78, + "learning_rate": 1.1863010610894932e-06, + "loss": 0.4606, + "step": 5827 + }, + { + "epoch": 0.78, + "learning_rate": 1.184894243097982e-06, + "loss": 0.4667, + "step": 5828 + }, + { + "epoch": 0.78, + "learning_rate": 1.1834881476304005e-06, + "loss": 0.4638, + "step": 5829 + }, + { + "epoch": 0.78, + "learning_rate": 1.1820827749530438e-06, + "loss": 0.413, + "step": 5830 + }, + { + "epoch": 0.78, + "learning_rate": 1.1806781253320692e-06, + "loss": 0.4487, + "step": 5831 + }, + { + "epoch": 0.78, + "learning_rate": 1.1792741990334934e-06, + "loss": 0.4924, + "step": 5832 + }, + { + "epoch": 0.78, + "learning_rate": 1.1778709963232022e-06, + "loss": 0.4423, + "step": 5833 + }, + { + "epoch": 0.78, + "learning_rate": 1.1764685174669416e-06, + "loss": 0.4354, + "step": 5834 + }, + { + "epoch": 0.78, + "learning_rate": 1.175066762730317e-06, + "loss": 0.4316, + "step": 5835 + }, + { + "epoch": 0.78, + "learning_rate": 1.1736657323788015e-06, + "loss": 0.4732, + "step": 5836 + }, + { + "epoch": 0.78, + "learning_rate": 1.17226542667773e-06, + "loss": 0.4929, + "step": 5837 + }, + { + "epoch": 0.78, + "learning_rate": 1.170865845892296e-06, + "loss": 0.4695, + "step": 5838 + }, + { + "epoch": 0.78, + "learning_rate": 1.169466990287565e-06, + "loss": 0.5035, + "step": 5839 + }, + { + "epoch": 0.78, + "learning_rate": 1.1680688601284544e-06, + "loss": 0.5005, + "step": 5840 + }, + { + "epoch": 0.78, + "learning_rate": 1.166671455679751e-06, + "loss": 0.4439, + "step": 5841 + }, + { + "epoch": 0.78, + "learning_rate": 1.165274777206103e-06, + "loss": 0.4986, + "step": 5842 + }, + { + "epoch": 0.79, + "learning_rate": 1.1638788249720184e-06, + "loss": 0.4918, + "step": 5843 + }, + { + "epoch": 0.79, + "learning_rate": 1.1624835992418705e-06, + "loss": 0.436, + "step": 5844 + }, + { + "epoch": 0.79, + "learning_rate": 1.161089100279894e-06, + "loss": 0.474, + "step": 5845 + }, + { + "epoch": 0.79, + "learning_rate": 1.1596953283501872e-06, + "loss": 0.4549, + "step": 5846 + }, + { + "epoch": 0.79, + "learning_rate": 1.1583022837167086e-06, + "loss": 0.4673, + "step": 5847 + }, + { + "epoch": 0.79, + "learning_rate": 1.156909966643282e-06, + "loss": 0.4916, + "step": 5848 + }, + { + "epoch": 0.79, + "learning_rate": 1.1555183773935879e-06, + "loss": 0.457, + "step": 5849 + }, + { + "epoch": 0.79, + "learning_rate": 1.154127516231175e-06, + "loss": 0.4713, + "step": 5850 + }, + { + "epoch": 0.79, + "learning_rate": 1.1527373834194505e-06, + "loss": 0.4716, + "step": 5851 + }, + { + "epoch": 0.79, + "learning_rate": 1.1513479792216852e-06, + "loss": 0.4688, + "step": 5852 + }, + { + "epoch": 0.79, + "learning_rate": 1.149959303901012e-06, + "loss": 0.4618, + "step": 5853 + }, + { + "epoch": 0.79, + "learning_rate": 1.1485713577204255e-06, + "loss": 0.4946, + "step": 5854 + }, + { + "epoch": 0.79, + "learning_rate": 1.1471841409427797e-06, + "loss": 0.4591, + "step": 5855 + }, + { + "epoch": 0.79, + "learning_rate": 1.1457976538307946e-06, + "loss": 0.4605, + "step": 5856 + }, + { + "epoch": 0.79, + "learning_rate": 1.144411896647049e-06, + "loss": 0.4513, + "step": 5857 + }, + { + "epoch": 0.79, + "learning_rate": 1.1430268696539853e-06, + "loss": 0.4801, + "step": 5858 + }, + { + "epoch": 0.79, + "learning_rate": 1.1416425731139075e-06, + "loss": 0.4817, + "step": 5859 + }, + { + "epoch": 0.79, + "learning_rate": 1.1402590072889807e-06, + "loss": 0.4761, + "step": 5860 + }, + { + "epoch": 0.79, + "learning_rate": 1.1388761724412296e-06, + "loss": 0.445, + "step": 5861 + }, + { + "epoch": 0.79, + "learning_rate": 1.1374940688325432e-06, + "loss": 0.4463, + "step": 5862 + }, + { + "epoch": 0.79, + "learning_rate": 1.1361126967246715e-06, + "loss": 0.4694, + "step": 5863 + }, + { + "epoch": 0.79, + "learning_rate": 1.1347320563792263e-06, + "loss": 0.5065, + "step": 5864 + }, + { + "epoch": 0.79, + "learning_rate": 1.1333521480576815e-06, + "loss": 0.4623, + "step": 5865 + }, + { + "epoch": 0.79, + "learning_rate": 1.1319729720213674e-06, + "loss": 0.4587, + "step": 5866 + }, + { + "epoch": 0.79, + "learning_rate": 1.1305945285314813e-06, + "loss": 0.4747, + "step": 5867 + }, + { + "epoch": 0.79, + "learning_rate": 1.1292168178490798e-06, + "loss": 0.4502, + "step": 5868 + }, + { + "epoch": 0.79, + "learning_rate": 1.1278398402350804e-06, + "loss": 0.4531, + "step": 5869 + }, + { + "epoch": 0.79, + "learning_rate": 1.1264635959502622e-06, + "loss": 0.4725, + "step": 5870 + }, + { + "epoch": 0.79, + "learning_rate": 1.125088085255267e-06, + "loss": 0.4263, + "step": 5871 + }, + { + "epoch": 0.79, + "learning_rate": 1.1237133084105928e-06, + "loss": 0.4498, + "step": 5872 + }, + { + "epoch": 0.79, + "learning_rate": 1.122339265676603e-06, + "loss": 0.4732, + "step": 5873 + }, + { + "epoch": 0.79, + "learning_rate": 1.1209659573135212e-06, + "loss": 0.457, + "step": 5874 + }, + { + "epoch": 0.79, + "learning_rate": 1.119593383581431e-06, + "loss": 0.4713, + "step": 5875 + }, + { + "epoch": 0.79, + "learning_rate": 1.1182215447402777e-06, + "loss": 0.4639, + "step": 5876 + }, + { + "epoch": 0.79, + "learning_rate": 1.1168504410498682e-06, + "loss": 0.5048, + "step": 5877 + }, + { + "epoch": 0.79, + "learning_rate": 1.1154800727698662e-06, + "loss": 0.4551, + "step": 5878 + }, + { + "epoch": 0.79, + "learning_rate": 1.1141104401598008e-06, + "loss": 0.4485, + "step": 5879 + }, + { + "epoch": 0.79, + "learning_rate": 1.112741543479059e-06, + "loss": 0.4698, + "step": 5880 + }, + { + "epoch": 0.79, + "learning_rate": 1.11137338298689e-06, + "loss": 0.4913, + "step": 5881 + }, + { + "epoch": 0.79, + "learning_rate": 1.110005958942403e-06, + "loss": 0.458, + "step": 5882 + }, + { + "epoch": 0.79, + "learning_rate": 1.1086392716045686e-06, + "loss": 0.4719, + "step": 5883 + }, + { + "epoch": 0.79, + "learning_rate": 1.1072733212322146e-06, + "loss": 0.536, + "step": 5884 + }, + { + "epoch": 0.79, + "learning_rate": 1.1059081080840323e-06, + "loss": 0.4424, + "step": 5885 + }, + { + "epoch": 0.79, + "learning_rate": 1.1045436324185733e-06, + "loss": 0.4765, + "step": 5886 + }, + { + "epoch": 0.79, + "learning_rate": 1.103179894494249e-06, + "loss": 0.4657, + "step": 5887 + }, + { + "epoch": 0.79, + "learning_rate": 1.1018168945693303e-06, + "loss": 0.4453, + "step": 5888 + }, + { + "epoch": 0.79, + "learning_rate": 1.1004546329019506e-06, + "loss": 0.4467, + "step": 5889 + }, + { + "epoch": 0.79, + "learning_rate": 1.099093109750099e-06, + "loss": 0.4486, + "step": 5890 + }, + { + "epoch": 0.79, + "learning_rate": 1.097732325371631e-06, + "loss": 0.431, + "step": 5891 + }, + { + "epoch": 0.79, + "learning_rate": 1.0963722800242555e-06, + "loss": 0.485, + "step": 5892 + }, + { + "epoch": 0.79, + "learning_rate": 1.0950129739655446e-06, + "loss": 0.4341, + "step": 5893 + }, + { + "epoch": 0.79, + "learning_rate": 1.0936544074529349e-06, + "loss": 0.478, + "step": 5894 + }, + { + "epoch": 0.79, + "learning_rate": 1.0922965807437142e-06, + "loss": 0.4502, + "step": 5895 + }, + { + "epoch": 0.79, + "learning_rate": 1.0909394940950364e-06, + "loss": 0.4312, + "step": 5896 + }, + { + "epoch": 0.79, + "learning_rate": 1.0895831477639145e-06, + "loss": 0.4439, + "step": 5897 + }, + { + "epoch": 0.79, + "learning_rate": 1.0882275420072175e-06, + "loss": 0.506, + "step": 5898 + }, + { + "epoch": 0.79, + "learning_rate": 1.0868726770816762e-06, + "loss": 0.439, + "step": 5899 + }, + { + "epoch": 0.79, + "learning_rate": 1.0855185532438871e-06, + "loss": 0.4638, + "step": 5900 + }, + { + "epoch": 0.79, + "learning_rate": 1.0841651707502959e-06, + "loss": 0.4667, + "step": 5901 + }, + { + "epoch": 0.79, + "learning_rate": 1.082812529857215e-06, + "loss": 0.4506, + "step": 5902 + }, + { + "epoch": 0.79, + "learning_rate": 1.0814606308208152e-06, + "loss": 0.4355, + "step": 5903 + }, + { + "epoch": 0.79, + "learning_rate": 1.0801094738971235e-06, + "loss": 0.4421, + "step": 5904 + }, + { + "epoch": 0.79, + "learning_rate": 1.0787590593420283e-06, + "loss": 0.4436, + "step": 5905 + }, + { + "epoch": 0.79, + "learning_rate": 1.0774093874112829e-06, + "loss": 0.4759, + "step": 5906 + }, + { + "epoch": 0.79, + "learning_rate": 1.07606045836049e-06, + "loss": 0.461, + "step": 5907 + }, + { + "epoch": 0.79, + "learning_rate": 1.0747122724451187e-06, + "loss": 0.454, + "step": 5908 + }, + { + "epoch": 0.79, + "learning_rate": 1.0733648299204963e-06, + "loss": 0.4735, + "step": 5909 + }, + { + "epoch": 0.79, + "learning_rate": 1.0720181310418048e-06, + "loss": 0.4709, + "step": 5910 + }, + { + "epoch": 0.79, + "learning_rate": 1.0706721760640897e-06, + "loss": 0.4534, + "step": 5911 + }, + { + "epoch": 0.79, + "learning_rate": 1.0693269652422588e-06, + "loss": 0.4884, + "step": 5912 + }, + { + "epoch": 0.79, + "learning_rate": 1.0679824988310704e-06, + "loss": 0.4888, + "step": 5913 + }, + { + "epoch": 0.79, + "learning_rate": 1.0666387770851478e-06, + "loss": 0.4737, + "step": 5914 + }, + { + "epoch": 0.79, + "learning_rate": 1.0652958002589731e-06, + "loss": 0.4717, + "step": 5915 + }, + { + "epoch": 0.79, + "learning_rate": 1.0639535686068837e-06, + "loss": 0.4546, + "step": 5916 + }, + { + "epoch": 0.79, + "learning_rate": 1.0626120823830787e-06, + "loss": 0.4874, + "step": 5917 + }, + { + "epoch": 0.8, + "learning_rate": 1.0612713418416164e-06, + "loss": 0.4789, + "step": 5918 + }, + { + "epoch": 0.8, + "learning_rate": 1.0599313472364125e-06, + "loss": 0.4992, + "step": 5919 + }, + { + "epoch": 0.8, + "learning_rate": 1.058592098821244e-06, + "loss": 0.4686, + "step": 5920 + }, + { + "epoch": 0.8, + "learning_rate": 1.0572535968497405e-06, + "loss": 0.477, + "step": 5921 + }, + { + "epoch": 0.8, + "learning_rate": 1.0559158415753968e-06, + "loss": 0.4843, + "step": 5922 + }, + { + "epoch": 0.8, + "learning_rate": 1.0545788332515627e-06, + "loss": 0.4486, + "step": 5923 + }, + { + "epoch": 0.8, + "learning_rate": 1.0532425721314483e-06, + "loss": 0.4827, + "step": 5924 + }, + { + "epoch": 0.8, + "learning_rate": 1.0519070584681213e-06, + "loss": 0.4948, + "step": 5925 + }, + { + "epoch": 0.8, + "learning_rate": 1.0505722925145096e-06, + "loss": 0.4779, + "step": 5926 + }, + { + "epoch": 0.8, + "learning_rate": 1.0492382745233948e-06, + "loss": 0.5021, + "step": 5927 + }, + { + "epoch": 0.8, + "learning_rate": 1.047905004747421e-06, + "loss": 0.485, + "step": 5928 + }, + { + "epoch": 0.8, + "learning_rate": 1.0465724834390901e-06, + "loss": 0.4848, + "step": 5929 + }, + { + "epoch": 0.8, + "learning_rate": 1.0452407108507616e-06, + "loss": 0.4782, + "step": 5930 + }, + { + "epoch": 0.8, + "learning_rate": 1.0439096872346533e-06, + "loss": 0.4509, + "step": 5931 + }, + { + "epoch": 0.8, + "learning_rate": 1.0425794128428423e-06, + "loss": 0.4476, + "step": 5932 + }, + { + "epoch": 0.8, + "learning_rate": 1.0412498879272598e-06, + "loss": 0.4639, + "step": 5933 + }, + { + "epoch": 0.8, + "learning_rate": 1.0399211127397002e-06, + "loss": 0.4602, + "step": 5934 + }, + { + "epoch": 0.8, + "learning_rate": 1.0385930875318123e-06, + "loss": 0.4893, + "step": 5935 + }, + { + "epoch": 0.8, + "learning_rate": 1.0372658125551054e-06, + "loss": 0.4983, + "step": 5936 + }, + { + "epoch": 0.8, + "learning_rate": 1.0359392880609448e-06, + "loss": 0.4689, + "step": 5937 + }, + { + "epoch": 0.8, + "learning_rate": 1.034613514300556e-06, + "loss": 0.4585, + "step": 5938 + }, + { + "epoch": 0.8, + "learning_rate": 1.033288491525018e-06, + "loss": 0.4504, + "step": 5939 + }, + { + "epoch": 0.8, + "learning_rate": 1.0319642199852714e-06, + "loss": 0.4782, + "step": 5940 + }, + { + "epoch": 0.8, + "learning_rate": 1.0306406999321135e-06, + "loss": 0.4738, + "step": 5941 + }, + { + "epoch": 0.8, + "learning_rate": 1.0293179316161995e-06, + "loss": 0.4451, + "step": 5942 + }, + { + "epoch": 0.8, + "learning_rate": 1.0279959152880431e-06, + "loss": 0.5014, + "step": 5943 + }, + { + "epoch": 0.8, + "learning_rate": 1.0266746511980114e-06, + "loss": 0.4382, + "step": 5944 + }, + { + "epoch": 0.8, + "learning_rate": 1.025354139596334e-06, + "loss": 0.4271, + "step": 5945 + }, + { + "epoch": 0.8, + "learning_rate": 1.0240343807330965e-06, + "loss": 0.4552, + "step": 5946 + }, + { + "epoch": 0.8, + "learning_rate": 1.0227153748582386e-06, + "loss": 0.4785, + "step": 5947 + }, + { + "epoch": 0.8, + "learning_rate": 1.0213971222215629e-06, + "loss": 0.4754, + "step": 5948 + }, + { + "epoch": 0.8, + "learning_rate": 1.0200796230727284e-06, + "loss": 0.4748, + "step": 5949 + }, + { + "epoch": 0.8, + "learning_rate": 1.0187628776612458e-06, + "loss": 0.4888, + "step": 5950 + }, + { + "epoch": 0.8, + "learning_rate": 1.0174468862364885e-06, + "loss": 0.4876, + "step": 5951 + }, + { + "epoch": 0.8, + "learning_rate": 1.016131649047687e-06, + "loss": 0.4825, + "step": 5952 + }, + { + "epoch": 0.8, + "learning_rate": 1.0148171663439233e-06, + "loss": 0.4862, + "step": 5953 + }, + { + "epoch": 0.8, + "learning_rate": 1.0135034383741454e-06, + "loss": 0.4462, + "step": 5954 + }, + { + "epoch": 0.8, + "learning_rate": 1.0121904653871534e-06, + "loss": 0.4741, + "step": 5955 + }, + { + "epoch": 0.8, + "learning_rate": 1.010878247631602e-06, + "loss": 0.4564, + "step": 5956 + }, + { + "epoch": 0.8, + "learning_rate": 1.009566785356007e-06, + "loss": 0.4784, + "step": 5957 + }, + { + "epoch": 0.8, + "learning_rate": 1.0082560788087414e-06, + "loss": 0.4497, + "step": 5958 + }, + { + "epoch": 0.8, + "learning_rate": 1.0069461282380282e-06, + "loss": 0.4391, + "step": 5959 + }, + { + "epoch": 0.8, + "learning_rate": 1.005636933891958e-06, + "loss": 0.4784, + "step": 5960 + }, + { + "epoch": 0.8, + "learning_rate": 1.0043284960184713e-06, + "loss": 0.4847, + "step": 5961 + }, + { + "epoch": 0.8, + "learning_rate": 1.0030208148653647e-06, + "loss": 0.4886, + "step": 5962 + }, + { + "epoch": 0.8, + "learning_rate": 1.0017138906802948e-06, + "loss": 0.4588, + "step": 5963 + }, + { + "epoch": 0.8, + "learning_rate": 1.0004077237107751e-06, + "loss": 0.4551, + "step": 5964 + }, + { + "epoch": 0.8, + "learning_rate": 9.991023142041688e-07, + "loss": 0.4754, + "step": 5965 + }, + { + "epoch": 0.8, + "learning_rate": 9.977976624077074e-07, + "loss": 0.4463, + "step": 5966 + }, + { + "epoch": 0.8, + "learning_rate": 9.964937685684683e-07, + "loss": 0.4756, + "step": 5967 + }, + { + "epoch": 0.8, + "learning_rate": 9.951906329333904e-07, + "loss": 0.4938, + "step": 5968 + }, + { + "epoch": 0.8, + "learning_rate": 9.938882557492697e-07, + "loss": 0.4348, + "step": 5969 + }, + { + "epoch": 0.8, + "learning_rate": 9.92586637262754e-07, + "loss": 0.4842, + "step": 5970 + }, + { + "epoch": 0.8, + "learning_rate": 9.91285777720352e-07, + "loss": 0.4873, + "step": 5971 + }, + { + "epoch": 0.8, + "learning_rate": 9.899856773684268e-07, + "loss": 0.4632, + "step": 5972 + }, + { + "epoch": 0.8, + "learning_rate": 9.886863364531984e-07, + "loss": 0.4813, + "step": 5973 + }, + { + "epoch": 0.8, + "learning_rate": 9.873877552207423e-07, + "loss": 0.4779, + "step": 5974 + }, + { + "epoch": 0.8, + "learning_rate": 9.860899339169915e-07, + "loss": 0.4775, + "step": 5975 + }, + { + "epoch": 0.8, + "learning_rate": 9.84792872787731e-07, + "loss": 0.4958, + "step": 5976 + }, + { + "epoch": 0.8, + "learning_rate": 9.834965720786066e-07, + "loss": 0.4793, + "step": 5977 + }, + { + "epoch": 0.8, + "learning_rate": 9.822010320351182e-07, + "loss": 0.4628, + "step": 5978 + }, + { + "epoch": 0.8, + "learning_rate": 9.80906252902622e-07, + "loss": 0.4705, + "step": 5979 + }, + { + "epoch": 0.8, + "learning_rate": 9.796122349263288e-07, + "loss": 0.4442, + "step": 5980 + }, + { + "epoch": 0.8, + "learning_rate": 9.78318978351308e-07, + "loss": 0.4579, + "step": 5981 + }, + { + "epoch": 0.8, + "learning_rate": 9.770264834224814e-07, + "loss": 0.4608, + "step": 5982 + }, + { + "epoch": 0.8, + "learning_rate": 9.757347503846282e-07, + "loss": 0.4377, + "step": 5983 + }, + { + "epoch": 0.8, + "learning_rate": 9.744437794823836e-07, + "loss": 0.4564, + "step": 5984 + }, + { + "epoch": 0.8, + "learning_rate": 9.731535709602385e-07, + "loss": 0.4394, + "step": 5985 + }, + { + "epoch": 0.8, + "learning_rate": 9.718641250625387e-07, + "loss": 0.4592, + "step": 5986 + }, + { + "epoch": 0.8, + "learning_rate": 9.705754420334874e-07, + "loss": 0.4569, + "step": 5987 + }, + { + "epoch": 0.8, + "learning_rate": 9.6928752211714e-07, + "loss": 0.4625, + "step": 5988 + }, + { + "epoch": 0.8, + "learning_rate": 9.680003655574093e-07, + "loss": 0.4716, + "step": 5989 + }, + { + "epoch": 0.8, + "learning_rate": 9.66713972598064e-07, + "loss": 0.4343, + "step": 5990 + }, + { + "epoch": 0.8, + "learning_rate": 9.654283434827282e-07, + "loss": 0.4737, + "step": 5991 + }, + { + "epoch": 0.81, + "learning_rate": 9.641434784548814e-07, + "loss": 0.4758, + "step": 5992 + }, + { + "epoch": 0.81, + "learning_rate": 9.628593777578559e-07, + "loss": 0.4487, + "step": 5993 + }, + { + "epoch": 0.81, + "learning_rate": 9.61576041634842e-07, + "loss": 0.481, + "step": 5994 + }, + { + "epoch": 0.81, + "learning_rate": 9.602934703288836e-07, + "loss": 0.4795, + "step": 5995 + }, + { + "epoch": 0.81, + "learning_rate": 9.590116640828822e-07, + "loss": 0.4355, + "step": 5996 + }, + { + "epoch": 0.81, + "learning_rate": 9.57730623139591e-07, + "loss": 0.4718, + "step": 5997 + }, + { + "epoch": 0.81, + "learning_rate": 9.564503477416231e-07, + "loss": 0.4409, + "step": 5998 + }, + { + "epoch": 0.81, + "learning_rate": 9.55170838131439e-07, + "loss": 0.456, + "step": 5999 + }, + { + "epoch": 0.81, + "learning_rate": 9.538920945513613e-07, + "loss": 0.4715, + "step": 6000 + }, + { + "epoch": 0.81, + "learning_rate": 9.526141172435644e-07, + "loss": 0.468, + "step": 6001 + }, + { + "epoch": 0.81, + "learning_rate": 9.513369064500783e-07, + "loss": 0.4793, + "step": 6002 + }, + { + "epoch": 0.81, + "learning_rate": 9.500604624127874e-07, + "loss": 0.4886, + "step": 6003 + }, + { + "epoch": 0.81, + "learning_rate": 9.487847853734323e-07, + "loss": 0.4502, + "step": 6004 + }, + { + "epoch": 0.81, + "learning_rate": 9.475098755736051e-07, + "loss": 0.4554, + "step": 6005 + }, + { + "epoch": 0.81, + "learning_rate": 9.462357332547551e-07, + "loss": 0.44, + "step": 6006 + }, + { + "epoch": 0.81, + "learning_rate": 9.449623586581863e-07, + "loss": 0.4701, + "step": 6007 + }, + { + "epoch": 0.81, + "learning_rate": 9.436897520250566e-07, + "loss": 0.4548, + "step": 6008 + }, + { + "epoch": 0.81, + "learning_rate": 9.42417913596379e-07, + "loss": 0.4969, + "step": 6009 + }, + { + "epoch": 0.81, + "learning_rate": 9.411468436130216e-07, + "loss": 0.5093, + "step": 6010 + }, + { + "epoch": 0.81, + "learning_rate": 9.398765423157036e-07, + "loss": 0.4626, + "step": 6011 + }, + { + "epoch": 0.81, + "learning_rate": 9.386070099450017e-07, + "loss": 0.4556, + "step": 6012 + }, + { + "epoch": 0.81, + "learning_rate": 9.373382467413477e-07, + "loss": 0.4426, + "step": 6013 + }, + { + "epoch": 0.81, + "learning_rate": 9.360702529450256e-07, + "loss": 0.4332, + "step": 6014 + }, + { + "epoch": 0.81, + "learning_rate": 9.34803028796174e-07, + "loss": 0.4636, + "step": 6015 + }, + { + "epoch": 0.81, + "learning_rate": 9.33536574534788e-07, + "loss": 0.4436, + "step": 6016 + }, + { + "epoch": 0.81, + "learning_rate": 9.322708904007127e-07, + "loss": 0.4812, + "step": 6017 + }, + { + "epoch": 0.81, + "learning_rate": 9.310059766336515e-07, + "loss": 0.4695, + "step": 6018 + }, + { + "epoch": 0.81, + "learning_rate": 9.297418334731573e-07, + "loss": 0.4799, + "step": 6019 + }, + { + "epoch": 0.81, + "learning_rate": 9.284784611586433e-07, + "loss": 0.4905, + "step": 6020 + }, + { + "epoch": 0.81, + "learning_rate": 9.272158599293729e-07, + "loss": 0.4738, + "step": 6021 + }, + { + "epoch": 0.81, + "learning_rate": 9.259540300244618e-07, + "loss": 0.469, + "step": 6022 + }, + { + "epoch": 0.81, + "learning_rate": 9.246929716828829e-07, + "loss": 0.493, + "step": 6023 + }, + { + "epoch": 0.81, + "learning_rate": 9.234326851434632e-07, + "loss": 0.4715, + "step": 6024 + }, + { + "epoch": 0.81, + "learning_rate": 9.221731706448789e-07, + "loss": 0.4594, + "step": 6025 + }, + { + "epoch": 0.81, + "learning_rate": 9.209144284256643e-07, + "loss": 0.47, + "step": 6026 + }, + { + "epoch": 0.81, + "learning_rate": 9.19656458724209e-07, + "loss": 0.4729, + "step": 6027 + }, + { + "epoch": 0.81, + "learning_rate": 9.183992617787507e-07, + "loss": 0.4784, + "step": 6028 + }, + { + "epoch": 0.81, + "learning_rate": 9.171428378273839e-07, + "loss": 0.4864, + "step": 6029 + }, + { + "epoch": 0.81, + "learning_rate": 9.158871871080594e-07, + "loss": 0.4819, + "step": 6030 + }, + { + "epoch": 0.81, + "learning_rate": 9.146323098585746e-07, + "loss": 0.4666, + "step": 6031 + }, + { + "epoch": 0.81, + "learning_rate": 9.133782063165846e-07, + "loss": 0.4143, + "step": 6032 + }, + { + "epoch": 0.81, + "learning_rate": 9.121248767196028e-07, + "loss": 0.4445, + "step": 6033 + }, + { + "epoch": 0.81, + "learning_rate": 9.108723213049864e-07, + "loss": 0.4698, + "step": 6034 + }, + { + "epoch": 0.81, + "learning_rate": 9.096205403099522e-07, + "loss": 0.4648, + "step": 6035 + }, + { + "epoch": 0.81, + "learning_rate": 9.083695339715698e-07, + "loss": 0.4344, + "step": 6036 + }, + { + "epoch": 0.81, + "learning_rate": 9.071193025267582e-07, + "loss": 0.4371, + "step": 6037 + }, + { + "epoch": 0.81, + "learning_rate": 9.05869846212294e-07, + "loss": 0.4899, + "step": 6038 + }, + { + "epoch": 0.81, + "learning_rate": 9.046211652648074e-07, + "loss": 0.487, + "step": 6039 + }, + { + "epoch": 0.81, + "learning_rate": 9.033732599207773e-07, + "loss": 0.5116, + "step": 6040 + }, + { + "epoch": 0.81, + "learning_rate": 9.021261304165391e-07, + "loss": 0.468, + "step": 6041 + }, + { + "epoch": 0.81, + "learning_rate": 9.008797769882821e-07, + "loss": 0.4934, + "step": 6042 + }, + { + "epoch": 0.81, + "learning_rate": 8.996341998720442e-07, + "loss": 0.4448, + "step": 6043 + }, + { + "epoch": 0.81, + "learning_rate": 8.983893993037201e-07, + "loss": 0.4551, + "step": 6044 + }, + { + "epoch": 0.81, + "learning_rate": 8.971453755190574e-07, + "loss": 0.4518, + "step": 6045 + }, + { + "epoch": 0.81, + "learning_rate": 8.95902128753654e-07, + "loss": 0.4933, + "step": 6046 + }, + { + "epoch": 0.81, + "learning_rate": 8.946596592429646e-07, + "loss": 0.4822, + "step": 6047 + }, + { + "epoch": 0.81, + "learning_rate": 8.93417967222292e-07, + "loss": 0.5035, + "step": 6048 + }, + { + "epoch": 0.81, + "learning_rate": 8.921770529267942e-07, + "loss": 0.4771, + "step": 6049 + }, + { + "epoch": 0.81, + "learning_rate": 8.909369165914833e-07, + "loss": 0.4624, + "step": 6050 + }, + { + "epoch": 0.81, + "learning_rate": 8.896975584512208e-07, + "loss": 0.4626, + "step": 6051 + }, + { + "epoch": 0.81, + "learning_rate": 8.884589787407244e-07, + "loss": 0.4656, + "step": 6052 + }, + { + "epoch": 0.81, + "learning_rate": 8.872211776945622e-07, + "loss": 0.4835, + "step": 6053 + }, + { + "epoch": 0.81, + "learning_rate": 8.859841555471538e-07, + "loss": 0.4674, + "step": 6054 + }, + { + "epoch": 0.81, + "learning_rate": 8.847479125327735e-07, + "loss": 0.4656, + "step": 6055 + }, + { + "epoch": 0.81, + "learning_rate": 8.835124488855479e-07, + "loss": 0.4852, + "step": 6056 + }, + { + "epoch": 0.81, + "learning_rate": 8.822777648394537e-07, + "loss": 0.4908, + "step": 6057 + }, + { + "epoch": 0.81, + "learning_rate": 8.810438606283234e-07, + "loss": 0.4777, + "step": 6058 + }, + { + "epoch": 0.81, + "learning_rate": 8.798107364858399e-07, + "loss": 0.4652, + "step": 6059 + }, + { + "epoch": 0.81, + "learning_rate": 8.785783926455365e-07, + "loss": 0.4722, + "step": 6060 + }, + { + "epoch": 0.81, + "learning_rate": 8.773468293408022e-07, + "loss": 0.5072, + "step": 6061 + }, + { + "epoch": 0.81, + "learning_rate": 8.761160468048763e-07, + "loss": 0.4789, + "step": 6062 + }, + { + "epoch": 0.81, + "learning_rate": 8.748860452708507e-07, + "loss": 0.4601, + "step": 6063 + }, + { + "epoch": 0.81, + "learning_rate": 8.736568249716693e-07, + "loss": 0.4947, + "step": 6064 + }, + { + "epoch": 0.81, + "learning_rate": 8.724283861401295e-07, + "loss": 0.4654, + "step": 6065 + }, + { + "epoch": 0.81, + "learning_rate": 8.712007290088759e-07, + "loss": 0.4766, + "step": 6066 + }, + { + "epoch": 0.82, + "learning_rate": 8.699738538104103e-07, + "loss": 0.4621, + "step": 6067 + }, + { + "epoch": 0.82, + "learning_rate": 8.687477607770844e-07, + "loss": 0.4754, + "step": 6068 + }, + { + "epoch": 0.82, + "learning_rate": 8.675224501411022e-07, + "loss": 0.4551, + "step": 6069 + }, + { + "epoch": 0.82, + "learning_rate": 8.662979221345197e-07, + "loss": 0.4752, + "step": 6070 + }, + { + "epoch": 0.82, + "learning_rate": 8.650741769892424e-07, + "loss": 0.4488, + "step": 6071 + }, + { + "epoch": 0.82, + "learning_rate": 8.638512149370304e-07, + "loss": 0.4365, + "step": 6072 + }, + { + "epoch": 0.82, + "learning_rate": 8.626290362094936e-07, + "loss": 0.4643, + "step": 6073 + }, + { + "epoch": 0.82, + "learning_rate": 8.614076410380956e-07, + "loss": 0.4517, + "step": 6074 + }, + { + "epoch": 0.82, + "learning_rate": 8.601870296541498e-07, + "loss": 0.4739, + "step": 6075 + }, + { + "epoch": 0.82, + "learning_rate": 8.589672022888223e-07, + "loss": 0.4584, + "step": 6076 + }, + { + "epoch": 0.82, + "learning_rate": 8.57748159173129e-07, + "loss": 0.4572, + "step": 6077 + }, + { + "epoch": 0.82, + "learning_rate": 8.565299005379391e-07, + "loss": 0.4629, + "step": 6078 + }, + { + "epoch": 0.82, + "learning_rate": 8.553124266139734e-07, + "loss": 0.4465, + "step": 6079 + }, + { + "epoch": 0.82, + "learning_rate": 8.540957376317993e-07, + "loss": 0.4694, + "step": 6080 + }, + { + "epoch": 0.82, + "learning_rate": 8.528798338218441e-07, + "loss": 0.4857, + "step": 6081 + }, + { + "epoch": 0.82, + "learning_rate": 8.516647154143815e-07, + "loss": 0.4931, + "step": 6082 + }, + { + "epoch": 0.82, + "learning_rate": 8.504503826395344e-07, + "loss": 0.4523, + "step": 6083 + }, + { + "epoch": 0.82, + "learning_rate": 8.492368357272801e-07, + "loss": 0.4739, + "step": 6084 + }, + { + "epoch": 0.82, + "learning_rate": 8.48024074907447e-07, + "loss": 0.4958, + "step": 6085 + }, + { + "epoch": 0.82, + "learning_rate": 8.468121004097113e-07, + "loss": 0.4733, + "step": 6086 + }, + { + "epoch": 0.82, + "learning_rate": 8.45600912463606e-07, + "loss": 0.4851, + "step": 6087 + }, + { + "epoch": 0.82, + "learning_rate": 8.443905112985118e-07, + "loss": 0.4664, + "step": 6088 + }, + { + "epoch": 0.82, + "learning_rate": 8.431808971436578e-07, + "loss": 0.4686, + "step": 6089 + }, + { + "epoch": 0.82, + "learning_rate": 8.419720702281292e-07, + "loss": 0.4362, + "step": 6090 + }, + { + "epoch": 0.82, + "learning_rate": 8.407640307808601e-07, + "loss": 0.4527, + "step": 6091 + }, + { + "epoch": 0.82, + "learning_rate": 8.395567790306314e-07, + "loss": 0.4467, + "step": 6092 + }, + { + "epoch": 0.82, + "learning_rate": 8.383503152060823e-07, + "loss": 0.4862, + "step": 6093 + }, + { + "epoch": 0.82, + "learning_rate": 8.371446395356991e-07, + "loss": 0.4611, + "step": 6094 + }, + { + "epoch": 0.82, + "learning_rate": 8.359397522478163e-07, + "loss": 0.4808, + "step": 6095 + }, + { + "epoch": 0.82, + "learning_rate": 8.347356535706236e-07, + "loss": 0.4677, + "step": 6096 + }, + { + "epoch": 0.82, + "learning_rate": 8.335323437321574e-07, + "loss": 0.4856, + "step": 6097 + }, + { + "epoch": 0.82, + "learning_rate": 8.323298229603072e-07, + "loss": 0.4777, + "step": 6098 + }, + { + "epoch": 0.82, + "learning_rate": 8.311280914828129e-07, + "loss": 0.4399, + "step": 6099 + }, + { + "epoch": 0.82, + "learning_rate": 8.299271495272642e-07, + "loss": 0.5085, + "step": 6100 + }, + { + "epoch": 0.82, + "learning_rate": 8.28726997321102e-07, + "loss": 0.468, + "step": 6101 + }, + { + "epoch": 0.82, + "learning_rate": 8.275276350916178e-07, + "loss": 0.4663, + "step": 6102 + }, + { + "epoch": 0.82, + "learning_rate": 8.263290630659504e-07, + "loss": 0.4687, + "step": 6103 + }, + { + "epoch": 0.82, + "learning_rate": 8.251312814710933e-07, + "loss": 0.4661, + "step": 6104 + }, + { + "epoch": 0.82, + "learning_rate": 8.239342905338877e-07, + "loss": 0.4616, + "step": 6105 + }, + { + "epoch": 0.82, + "learning_rate": 8.227380904810256e-07, + "loss": 0.4737, + "step": 6106 + }, + { + "epoch": 0.82, + "learning_rate": 8.215426815390504e-07, + "loss": 0.4734, + "step": 6107 + }, + { + "epoch": 0.82, + "learning_rate": 8.203480639343552e-07, + "loss": 0.4515, + "step": 6108 + }, + { + "epoch": 0.82, + "learning_rate": 8.191542378931805e-07, + "loss": 0.4707, + "step": 6109 + }, + { + "epoch": 0.82, + "learning_rate": 8.179612036416195e-07, + "loss": 0.4515, + "step": 6110 + }, + { + "epoch": 0.82, + "learning_rate": 8.167689614056162e-07, + "loss": 0.4824, + "step": 6111 + }, + { + "epoch": 0.82, + "learning_rate": 8.155775114109632e-07, + "loss": 0.483, + "step": 6112 + }, + { + "epoch": 0.82, + "learning_rate": 8.143868538833027e-07, + "loss": 0.4192, + "step": 6113 + }, + { + "epoch": 0.82, + "learning_rate": 8.131969890481289e-07, + "loss": 0.4672, + "step": 6114 + }, + { + "epoch": 0.82, + "learning_rate": 8.12007917130782e-07, + "loss": 0.4581, + "step": 6115 + }, + { + "epoch": 0.82, + "learning_rate": 8.108196383564554e-07, + "loss": 0.4418, + "step": 6116 + }, + { + "epoch": 0.82, + "learning_rate": 8.096321529501921e-07, + "loss": 0.4813, + "step": 6117 + }, + { + "epoch": 0.82, + "learning_rate": 8.084454611368831e-07, + "loss": 0.4685, + "step": 6118 + }, + { + "epoch": 0.82, + "learning_rate": 8.072595631412705e-07, + "loss": 0.4758, + "step": 6119 + }, + { + "epoch": 0.82, + "learning_rate": 8.060744591879472e-07, + "loss": 0.4626, + "step": 6120 + }, + { + "epoch": 0.82, + "learning_rate": 8.048901495013511e-07, + "loss": 0.4884, + "step": 6121 + }, + { + "epoch": 0.82, + "learning_rate": 8.037066343057742e-07, + "loss": 0.4775, + "step": 6122 + }, + { + "epoch": 0.82, + "learning_rate": 8.025239138253571e-07, + "loss": 0.484, + "step": 6123 + }, + { + "epoch": 0.82, + "learning_rate": 8.013419882840884e-07, + "loss": 0.4768, + "step": 6124 + }, + { + "epoch": 0.82, + "learning_rate": 8.001608579058084e-07, + "loss": 0.4817, + "step": 6125 + }, + { + "epoch": 0.82, + "learning_rate": 7.989805229142039e-07, + "loss": 0.4542, + "step": 6126 + }, + { + "epoch": 0.82, + "learning_rate": 7.978009835328138e-07, + "loss": 0.4713, + "step": 6127 + }, + { + "epoch": 0.82, + "learning_rate": 7.966222399850243e-07, + "loss": 0.4651, + "step": 6128 + }, + { + "epoch": 0.82, + "learning_rate": 7.954442924940725e-07, + "loss": 0.4641, + "step": 6129 + }, + { + "epoch": 0.82, + "learning_rate": 7.942671412830439e-07, + "loss": 0.4533, + "step": 6130 + }, + { + "epoch": 0.82, + "learning_rate": 7.930907865748744e-07, + "loss": 0.4646, + "step": 6131 + }, + { + "epoch": 0.82, + "learning_rate": 7.919152285923453e-07, + "loss": 0.4648, + "step": 6132 + }, + { + "epoch": 0.82, + "learning_rate": 7.907404675580915e-07, + "loss": 0.4818, + "step": 6133 + }, + { + "epoch": 0.82, + "learning_rate": 7.895665036945955e-07, + "loss": 0.4669, + "step": 6134 + }, + { + "epoch": 0.82, + "learning_rate": 7.88393337224187e-07, + "loss": 0.4905, + "step": 6135 + }, + { + "epoch": 0.82, + "learning_rate": 7.872209683690474e-07, + "loss": 0.4981, + "step": 6136 + }, + { + "epoch": 0.82, + "learning_rate": 7.860493973512068e-07, + "loss": 0.4658, + "step": 6137 + }, + { + "epoch": 0.82, + "learning_rate": 7.848786243925404e-07, + "loss": 0.4793, + "step": 6138 + }, + { + "epoch": 0.82, + "learning_rate": 7.837086497147766e-07, + "loss": 0.4417, + "step": 6139 + }, + { + "epoch": 0.82, + "learning_rate": 7.825394735394914e-07, + "loss": 0.4961, + "step": 6140 + }, + { + "epoch": 0.83, + "learning_rate": 7.813710960881088e-07, + "loss": 0.4825, + "step": 6141 + }, + { + "epoch": 0.83, + "learning_rate": 7.802035175819022e-07, + "loss": 0.4213, + "step": 6142 + }, + { + "epoch": 0.83, + "learning_rate": 7.790367382419944e-07, + "loss": 0.466, + "step": 6143 + }, + { + "epoch": 0.83, + "learning_rate": 7.778707582893541e-07, + "loss": 0.4576, + "step": 6144 + }, + { + "epoch": 0.83, + "learning_rate": 7.767055779448007e-07, + "loss": 0.4675, + "step": 6145 + }, + { + "epoch": 0.83, + "learning_rate": 7.755411974290028e-07, + "loss": 0.4938, + "step": 6146 + }, + { + "epoch": 0.83, + "learning_rate": 7.743776169624767e-07, + "loss": 0.467, + "step": 6147 + }, + { + "epoch": 0.83, + "learning_rate": 7.732148367655879e-07, + "loss": 0.4399, + "step": 6148 + }, + { + "epoch": 0.83, + "learning_rate": 7.720528570585473e-07, + "loss": 0.4242, + "step": 6149 + }, + { + "epoch": 0.83, + "learning_rate": 7.708916780614173e-07, + "loss": 0.4888, + "step": 6150 + }, + { + "epoch": 0.83, + "learning_rate": 7.697312999941098e-07, + "loss": 0.4602, + "step": 6151 + }, + { + "epoch": 0.83, + "learning_rate": 7.685717230763795e-07, + "loss": 0.4677, + "step": 6152 + }, + { + "epoch": 0.83, + "learning_rate": 7.674129475278341e-07, + "loss": 0.456, + "step": 6153 + }, + { + "epoch": 0.83, + "learning_rate": 7.66254973567932e-07, + "loss": 0.4392, + "step": 6154 + }, + { + "epoch": 0.83, + "learning_rate": 7.650978014159711e-07, + "loss": 0.4629, + "step": 6155 + }, + { + "epoch": 0.83, + "learning_rate": 7.639414312911047e-07, + "loss": 0.4717, + "step": 6156 + }, + { + "epoch": 0.83, + "learning_rate": 7.627858634123336e-07, + "loss": 0.4666, + "step": 6157 + }, + { + "epoch": 0.83, + "learning_rate": 7.61631097998502e-07, + "loss": 0.4861, + "step": 6158 + }, + { + "epoch": 0.83, + "learning_rate": 7.604771352683049e-07, + "loss": 0.4545, + "step": 6159 + }, + { + "epoch": 0.83, + "learning_rate": 7.593239754402898e-07, + "loss": 0.4559, + "step": 6160 + }, + { + "epoch": 0.83, + "learning_rate": 7.581716187328442e-07, + "loss": 0.4676, + "step": 6161 + }, + { + "epoch": 0.83, + "learning_rate": 7.570200653642085e-07, + "loss": 0.4828, + "step": 6162 + }, + { + "epoch": 0.83, + "learning_rate": 7.558693155524705e-07, + "loss": 0.4659, + "step": 6163 + }, + { + "epoch": 0.83, + "learning_rate": 7.54719369515563e-07, + "loss": 0.4405, + "step": 6164 + }, + { + "epoch": 0.83, + "learning_rate": 7.53570227471268e-07, + "loss": 0.4494, + "step": 6165 + }, + { + "epoch": 0.83, + "learning_rate": 7.524218896372198e-07, + "loss": 0.4739, + "step": 6166 + }, + { + "epoch": 0.83, + "learning_rate": 7.512743562308928e-07, + "loss": 0.455, + "step": 6167 + }, + { + "epoch": 0.83, + "learning_rate": 7.50127627469614e-07, + "loss": 0.4684, + "step": 6168 + }, + { + "epoch": 0.83, + "learning_rate": 7.489817035705576e-07, + "loss": 0.4556, + "step": 6169 + }, + { + "epoch": 0.83, + "learning_rate": 7.478365847507418e-07, + "loss": 0.4705, + "step": 6170 + }, + { + "epoch": 0.83, + "learning_rate": 7.466922712270358e-07, + "loss": 0.4471, + "step": 6171 + }, + { + "epoch": 0.83, + "learning_rate": 7.455487632161584e-07, + "loss": 0.4868, + "step": 6172 + }, + { + "epoch": 0.83, + "learning_rate": 7.444060609346693e-07, + "loss": 0.4703, + "step": 6173 + }, + { + "epoch": 0.83, + "learning_rate": 7.432641645989819e-07, + "loss": 0.4955, + "step": 6174 + }, + { + "epoch": 0.83, + "learning_rate": 7.421230744253516e-07, + "loss": 0.4551, + "step": 6175 + }, + { + "epoch": 0.83, + "learning_rate": 7.40982790629885e-07, + "loss": 0.4499, + "step": 6176 + }, + { + "epoch": 0.83, + "learning_rate": 7.398433134285349e-07, + "loss": 0.4622, + "step": 6177 + }, + { + "epoch": 0.83, + "learning_rate": 7.387046430371014e-07, + "loss": 0.4673, + "step": 6178 + }, + { + "epoch": 0.83, + "learning_rate": 7.375667796712316e-07, + "loss": 0.5079, + "step": 6179 + }, + { + "epoch": 0.83, + "learning_rate": 7.364297235464207e-07, + "loss": 0.4739, + "step": 6180 + }, + { + "epoch": 0.83, + "learning_rate": 7.352934748780077e-07, + "loss": 0.4772, + "step": 6181 + }, + { + "epoch": 0.83, + "learning_rate": 7.341580338811827e-07, + "loss": 0.4718, + "step": 6182 + }, + { + "epoch": 0.83, + "learning_rate": 7.330234007709808e-07, + "loss": 0.4422, + "step": 6183 + }, + { + "epoch": 0.83, + "learning_rate": 7.318895757622851e-07, + "loss": 0.4775, + "step": 6184 + }, + { + "epoch": 0.83, + "learning_rate": 7.30756559069824e-07, + "loss": 0.4473, + "step": 6185 + }, + { + "epoch": 0.83, + "learning_rate": 7.296243509081763e-07, + "loss": 0.4796, + "step": 6186 + }, + { + "epoch": 0.83, + "learning_rate": 7.284929514917627e-07, + "loss": 0.4454, + "step": 6187 + }, + { + "epoch": 0.83, + "learning_rate": 7.273623610348535e-07, + "loss": 0.4698, + "step": 6188 + }, + { + "epoch": 0.83, + "learning_rate": 7.262325797515668e-07, + "loss": 0.4565, + "step": 6189 + }, + { + "epoch": 0.83, + "learning_rate": 7.25103607855866e-07, + "loss": 0.4702, + "step": 6190 + }, + { + "epoch": 0.83, + "learning_rate": 7.239754455615606e-07, + "loss": 0.4663, + "step": 6191 + }, + { + "epoch": 0.83, + "learning_rate": 7.228480930823101e-07, + "loss": 0.4872, + "step": 6192 + }, + { + "epoch": 0.83, + "learning_rate": 7.217215506316149e-07, + "loss": 0.4236, + "step": 6193 + }, + { + "epoch": 0.83, + "learning_rate": 7.205958184228268e-07, + "loss": 0.4356, + "step": 6194 + }, + { + "epoch": 0.83, + "learning_rate": 7.194708966691427e-07, + "loss": 0.4589, + "step": 6195 + }, + { + "epoch": 0.83, + "learning_rate": 7.183467855836058e-07, + "loss": 0.4731, + "step": 6196 + }, + { + "epoch": 0.83, + "learning_rate": 7.172234853791061e-07, + "loss": 0.462, + "step": 6197 + }, + { + "epoch": 0.83, + "learning_rate": 7.161009962683807e-07, + "loss": 0.44, + "step": 6198 + }, + { + "epoch": 0.83, + "learning_rate": 7.149793184640102e-07, + "loss": 0.4614, + "step": 6199 + }, + { + "epoch": 0.83, + "learning_rate": 7.138584521784247e-07, + "loss": 0.4821, + "step": 6200 + }, + { + "epoch": 0.83, + "learning_rate": 7.127383976238994e-07, + "loss": 0.4754, + "step": 6201 + }, + { + "epoch": 0.83, + "learning_rate": 7.116191550125562e-07, + "loss": 0.473, + "step": 6202 + }, + { + "epoch": 0.83, + "learning_rate": 7.105007245563633e-07, + "loss": 0.4655, + "step": 6203 + }, + { + "epoch": 0.83, + "learning_rate": 7.09383106467133e-07, + "loss": 0.4678, + "step": 6204 + }, + { + "epoch": 0.83, + "learning_rate": 7.082663009565266e-07, + "loss": 0.4744, + "step": 6205 + }, + { + "epoch": 0.83, + "learning_rate": 7.071503082360515e-07, + "loss": 0.4725, + "step": 6206 + }, + { + "epoch": 0.83, + "learning_rate": 7.060351285170559e-07, + "loss": 0.484, + "step": 6207 + }, + { + "epoch": 0.83, + "learning_rate": 7.049207620107423e-07, + "loss": 0.4596, + "step": 6208 + }, + { + "epoch": 0.83, + "learning_rate": 7.03807208928155e-07, + "loss": 0.4722, + "step": 6209 + }, + { + "epoch": 0.83, + "learning_rate": 7.026944694801818e-07, + "loss": 0.4714, + "step": 6210 + }, + { + "epoch": 0.83, + "learning_rate": 7.015825438775603e-07, + "loss": 0.4908, + "step": 6211 + }, + { + "epoch": 0.83, + "learning_rate": 7.004714323308731e-07, + "loss": 0.4792, + "step": 6212 + }, + { + "epoch": 0.83, + "learning_rate": 6.993611350505453e-07, + "loss": 0.4756, + "step": 6213 + }, + { + "epoch": 0.83, + "learning_rate": 6.982516522468536e-07, + "loss": 0.4721, + "step": 6214 + }, + { + "epoch": 0.84, + "learning_rate": 6.971429841299176e-07, + "loss": 0.4583, + "step": 6215 + }, + { + "epoch": 0.84, + "learning_rate": 6.960351309097007e-07, + "loss": 0.4646, + "step": 6216 + }, + { + "epoch": 0.84, + "learning_rate": 6.949280927960139e-07, + "loss": 0.4488, + "step": 6217 + }, + { + "epoch": 0.84, + "learning_rate": 6.938218699985155e-07, + "loss": 0.4816, + "step": 6218 + }, + { + "epoch": 0.84, + "learning_rate": 6.927164627267036e-07, + "loss": 0.4692, + "step": 6219 + }, + { + "epoch": 0.84, + "learning_rate": 6.916118711899295e-07, + "loss": 0.4559, + "step": 6220 + }, + { + "epoch": 0.84, + "learning_rate": 6.905080955973864e-07, + "loss": 0.4682, + "step": 6221 + }, + { + "epoch": 0.84, + "learning_rate": 6.894051361581106e-07, + "loss": 0.4856, + "step": 6222 + }, + { + "epoch": 0.84, + "learning_rate": 6.883029930809876e-07, + "loss": 0.4678, + "step": 6223 + }, + { + "epoch": 0.84, + "learning_rate": 6.87201666574746e-07, + "loss": 0.4555, + "step": 6224 + }, + { + "epoch": 0.84, + "learning_rate": 6.861011568479592e-07, + "loss": 0.4879, + "step": 6225 + }, + { + "epoch": 0.84, + "learning_rate": 6.850014641090513e-07, + "loss": 0.4831, + "step": 6226 + }, + { + "epoch": 0.84, + "learning_rate": 6.839025885662842e-07, + "loss": 0.4815, + "step": 6227 + }, + { + "epoch": 0.84, + "learning_rate": 6.828045304277697e-07, + "loss": 0.4709, + "step": 6228 + }, + { + "epoch": 0.84, + "learning_rate": 6.817072899014648e-07, + "loss": 0.4879, + "step": 6229 + }, + { + "epoch": 0.84, + "learning_rate": 6.806108671951677e-07, + "loss": 0.4582, + "step": 6230 + }, + { + "epoch": 0.84, + "learning_rate": 6.795152625165258e-07, + "loss": 0.4975, + "step": 6231 + }, + { + "epoch": 0.84, + "learning_rate": 6.784204760730306e-07, + "loss": 0.4382, + "step": 6232 + }, + { + "epoch": 0.84, + "learning_rate": 6.773265080720176e-07, + "loss": 0.455, + "step": 6233 + }, + { + "epoch": 0.84, + "learning_rate": 6.762333587206682e-07, + "loss": 0.4468, + "step": 6234 + }, + { + "epoch": 0.84, + "learning_rate": 6.751410282260102e-07, + "loss": 0.4717, + "step": 6235 + }, + { + "epoch": 0.84, + "learning_rate": 6.740495167949118e-07, + "loss": 0.4756, + "step": 6236 + }, + { + "epoch": 0.84, + "learning_rate": 6.729588246340901e-07, + "loss": 0.4853, + "step": 6237 + }, + { + "epoch": 0.84, + "learning_rate": 6.71868951950106e-07, + "loss": 0.4556, + "step": 6238 + }, + { + "epoch": 0.84, + "learning_rate": 6.707798989493647e-07, + "loss": 0.4981, + "step": 6239 + }, + { + "epoch": 0.84, + "learning_rate": 6.696916658381175e-07, + "loss": 0.4685, + "step": 6240 + }, + { + "epoch": 0.84, + "learning_rate": 6.686042528224596e-07, + "loss": 0.4936, + "step": 6241 + }, + { + "epoch": 0.84, + "learning_rate": 6.675176601083288e-07, + "loss": 0.4351, + "step": 6242 + }, + { + "epoch": 0.84, + "learning_rate": 6.664318879015114e-07, + "loss": 0.4403, + "step": 6243 + }, + { + "epoch": 0.84, + "learning_rate": 6.653469364076348e-07, + "loss": 0.4554, + "step": 6244 + }, + { + "epoch": 0.84, + "learning_rate": 6.642628058321743e-07, + "loss": 0.4606, + "step": 6245 + }, + { + "epoch": 0.84, + "learning_rate": 6.631794963804467e-07, + "loss": 0.4838, + "step": 6246 + }, + { + "epoch": 0.84, + "learning_rate": 6.620970082576161e-07, + "loss": 0.4721, + "step": 6247 + }, + { + "epoch": 0.84, + "learning_rate": 6.610153416686877e-07, + "loss": 0.4626, + "step": 6248 + }, + { + "epoch": 0.84, + "learning_rate": 6.59934496818514e-07, + "loss": 0.5113, + "step": 6249 + }, + { + "epoch": 0.84, + "learning_rate": 6.588544739117903e-07, + "loss": 0.4754, + "step": 6250 + }, + { + "epoch": 0.84, + "learning_rate": 6.577752731530573e-07, + "loss": 0.4274, + "step": 6251 + }, + { + "epoch": 0.84, + "learning_rate": 6.566968947467e-07, + "loss": 0.483, + "step": 6252 + }, + { + "epoch": 0.84, + "learning_rate": 6.556193388969456e-07, + "loss": 0.4466, + "step": 6253 + }, + { + "epoch": 0.84, + "learning_rate": 6.54542605807868e-07, + "loss": 0.4643, + "step": 6254 + }, + { + "epoch": 0.84, + "learning_rate": 6.53466695683384e-07, + "loss": 0.4532, + "step": 6255 + }, + { + "epoch": 0.84, + "learning_rate": 6.523916087272552e-07, + "loss": 0.4578, + "step": 6256 + }, + { + "epoch": 0.84, + "learning_rate": 6.513173451430871e-07, + "loss": 0.4465, + "step": 6257 + }, + { + "epoch": 0.84, + "learning_rate": 6.502439051343295e-07, + "loss": 0.4537, + "step": 6258 + }, + { + "epoch": 0.84, + "learning_rate": 6.491712889042745e-07, + "loss": 0.4729, + "step": 6259 + }, + { + "epoch": 0.84, + "learning_rate": 6.4809949665606e-07, + "loss": 0.4614, + "step": 6260 + }, + { + "epoch": 0.84, + "learning_rate": 6.47028528592668e-07, + "loss": 0.485, + "step": 6261 + }, + { + "epoch": 0.84, + "learning_rate": 6.459583849169232e-07, + "loss": 0.4566, + "step": 6262 + }, + { + "epoch": 0.84, + "learning_rate": 6.448890658314955e-07, + "loss": 0.4706, + "step": 6263 + }, + { + "epoch": 0.84, + "learning_rate": 6.438205715388989e-07, + "loss": 0.4509, + "step": 6264 + }, + { + "epoch": 0.84, + "learning_rate": 6.427529022414875e-07, + "loss": 0.4587, + "step": 6265 + }, + { + "epoch": 0.84, + "learning_rate": 6.416860581414636e-07, + "loss": 0.501, + "step": 6266 + }, + { + "epoch": 0.84, + "learning_rate": 6.406200394408707e-07, + "loss": 0.4599, + "step": 6267 + }, + { + "epoch": 0.84, + "learning_rate": 6.395548463415974e-07, + "loss": 0.4566, + "step": 6268 + }, + { + "epoch": 0.84, + "learning_rate": 6.384904790453755e-07, + "loss": 0.4319, + "step": 6269 + }, + { + "epoch": 0.84, + "learning_rate": 6.374269377537812e-07, + "loss": 0.4273, + "step": 6270 + }, + { + "epoch": 0.84, + "learning_rate": 6.363642226682304e-07, + "loss": 0.4674, + "step": 6271 + }, + { + "epoch": 0.84, + "learning_rate": 6.353023339899877e-07, + "loss": 0.4648, + "step": 6272 + }, + { + "epoch": 0.84, + "learning_rate": 6.342412719201579e-07, + "loss": 0.4934, + "step": 6273 + }, + { + "epoch": 0.84, + "learning_rate": 6.331810366596908e-07, + "loss": 0.4622, + "step": 6274 + }, + { + "epoch": 0.84, + "learning_rate": 6.321216284093801e-07, + "loss": 0.4797, + "step": 6275 + }, + { + "epoch": 0.84, + "learning_rate": 6.310630473698598e-07, + "loss": 0.4562, + "step": 6276 + }, + { + "epoch": 0.84, + "learning_rate": 6.300052937416101e-07, + "loss": 0.4407, + "step": 6277 + }, + { + "epoch": 0.84, + "learning_rate": 6.289483677249547e-07, + "loss": 0.4784, + "step": 6278 + }, + { + "epoch": 0.84, + "learning_rate": 6.278922695200573e-07, + "loss": 0.4595, + "step": 6279 + }, + { + "epoch": 0.84, + "learning_rate": 6.268369993269291e-07, + "loss": 0.4679, + "step": 6280 + }, + { + "epoch": 0.84, + "learning_rate": 6.257825573454229e-07, + "loss": 0.4838, + "step": 6281 + }, + { + "epoch": 0.84, + "learning_rate": 6.247289437752324e-07, + "loss": 0.4563, + "step": 6282 + }, + { + "epoch": 0.84, + "learning_rate": 6.236761588158968e-07, + "loss": 0.4676, + "step": 6283 + }, + { + "epoch": 0.84, + "learning_rate": 6.226242026667995e-07, + "loss": 0.475, + "step": 6284 + }, + { + "epoch": 0.84, + "learning_rate": 6.215730755271627e-07, + "loss": 0.484, + "step": 6285 + }, + { + "epoch": 0.84, + "learning_rate": 6.205227775960538e-07, + "loss": 0.4403, + "step": 6286 + }, + { + "epoch": 0.84, + "learning_rate": 6.194733090723876e-07, + "loss": 0.4847, + "step": 6287 + }, + { + "epoch": 0.84, + "learning_rate": 6.184246701549141e-07, + "loss": 0.4804, + "step": 6288 + }, + { + "epoch": 0.84, + "learning_rate": 6.173768610422303e-07, + "loss": 0.4544, + "step": 6289 + }, + { + "epoch": 0.85, + "learning_rate": 6.163298819327779e-07, + "loss": 0.4798, + "step": 6290 + }, + { + "epoch": 0.85, + "learning_rate": 6.152837330248357e-07, + "loss": 0.499, + "step": 6291 + }, + { + "epoch": 0.85, + "learning_rate": 6.142384145165298e-07, + "loss": 0.469, + "step": 6292 + }, + { + "epoch": 0.85, + "learning_rate": 6.131939266058295e-07, + "loss": 0.511, + "step": 6293 + }, + { + "epoch": 0.85, + "learning_rate": 6.121502694905434e-07, + "loss": 0.4541, + "step": 6294 + }, + { + "epoch": 0.85, + "learning_rate": 6.111074433683256e-07, + "loss": 0.4698, + "step": 6295 + }, + { + "epoch": 0.85, + "learning_rate": 6.10065448436672e-07, + "loss": 0.4576, + "step": 6296 + }, + { + "epoch": 0.85, + "learning_rate": 6.09024284892919e-07, + "loss": 0.4369, + "step": 6297 + }, + { + "epoch": 0.85, + "learning_rate": 6.079839529342474e-07, + "loss": 0.4758, + "step": 6298 + }, + { + "epoch": 0.85, + "learning_rate": 6.069444527576834e-07, + "loss": 0.4356, + "step": 6299 + }, + { + "epoch": 0.85, + "learning_rate": 6.059057845600907e-07, + "loss": 0.4635, + "step": 6300 + }, + { + "epoch": 0.85, + "learning_rate": 6.048679485381781e-07, + "loss": 0.4586, + "step": 6301 + }, + { + "epoch": 0.85, + "learning_rate": 6.038309448884955e-07, + "loss": 0.4608, + "step": 6302 + }, + { + "epoch": 0.85, + "learning_rate": 6.027947738074363e-07, + "loss": 0.4507, + "step": 6303 + }, + { + "epoch": 0.85, + "learning_rate": 6.017594354912354e-07, + "loss": 0.4849, + "step": 6304 + }, + { + "epoch": 0.85, + "learning_rate": 6.007249301359707e-07, + "loss": 0.4439, + "step": 6305 + }, + { + "epoch": 0.85, + "learning_rate": 5.996912579375625e-07, + "loss": 0.4551, + "step": 6306 + }, + { + "epoch": 0.85, + "learning_rate": 5.986584190917733e-07, + "loss": 0.4998, + "step": 6307 + }, + { + "epoch": 0.85, + "learning_rate": 5.976264137942056e-07, + "loss": 0.4668, + "step": 6308 + }, + { + "epoch": 0.85, + "learning_rate": 5.965952422403066e-07, + "loss": 0.461, + "step": 6309 + }, + { + "epoch": 0.85, + "learning_rate": 5.955649046253648e-07, + "loss": 0.4658, + "step": 6310 + }, + { + "epoch": 0.85, + "learning_rate": 5.945354011445104e-07, + "loss": 0.4672, + "step": 6311 + }, + { + "epoch": 0.85, + "learning_rate": 5.935067319927162e-07, + "loss": 0.4669, + "step": 6312 + }, + { + "epoch": 0.85, + "learning_rate": 5.924788973647983e-07, + "loss": 0.4826, + "step": 6313 + }, + { + "epoch": 0.85, + "learning_rate": 5.914518974554106e-07, + "loss": 0.4759, + "step": 6314 + }, + { + "epoch": 0.85, + "learning_rate": 5.904257324590523e-07, + "loss": 0.4515, + "step": 6315 + }, + { + "epoch": 0.85, + "learning_rate": 5.89400402570064e-07, + "loss": 0.4792, + "step": 6316 + }, + { + "epoch": 0.85, + "learning_rate": 5.883759079826279e-07, + "loss": 0.4366, + "step": 6317 + }, + { + "epoch": 0.85, + "learning_rate": 5.873522488907679e-07, + "loss": 0.4468, + "step": 6318 + }, + { + "epoch": 0.85, + "learning_rate": 5.863294254883511e-07, + "loss": 0.4534, + "step": 6319 + }, + { + "epoch": 0.85, + "learning_rate": 5.85307437969082e-07, + "loss": 0.4899, + "step": 6320 + }, + { + "epoch": 0.85, + "learning_rate": 5.842862865265114e-07, + "loss": 0.4604, + "step": 6321 + }, + { + "epoch": 0.85, + "learning_rate": 5.8326597135403e-07, + "loss": 0.4815, + "step": 6322 + }, + { + "epoch": 0.85, + "learning_rate": 5.822464926448706e-07, + "loss": 0.4849, + "step": 6323 + }, + { + "epoch": 0.85, + "learning_rate": 5.812278505921065e-07, + "loss": 0.4562, + "step": 6324 + }, + { + "epoch": 0.85, + "learning_rate": 5.802100453886545e-07, + "loss": 0.4843, + "step": 6325 + }, + { + "epoch": 0.85, + "learning_rate": 5.791930772272697e-07, + "loss": 0.4681, + "step": 6326 + }, + { + "epoch": 0.85, + "learning_rate": 5.781769463005516e-07, + "loss": 0.4546, + "step": 6327 + }, + { + "epoch": 0.85, + "learning_rate": 5.771616528009405e-07, + "loss": 0.4688, + "step": 6328 + }, + { + "epoch": 0.85, + "learning_rate": 5.761471969207172e-07, + "loss": 0.4582, + "step": 6329 + }, + { + "epoch": 0.85, + "learning_rate": 5.751335788520062e-07, + "loss": 0.4604, + "step": 6330 + }, + { + "epoch": 0.85, + "learning_rate": 5.741207987867692e-07, + "loss": 0.4578, + "step": 6331 + }, + { + "epoch": 0.85, + "learning_rate": 5.731088569168125e-07, + "loss": 0.4412, + "step": 6332 + }, + { + "epoch": 0.85, + "learning_rate": 5.72097753433784e-07, + "loss": 0.4601, + "step": 6333 + }, + { + "epoch": 0.85, + "learning_rate": 5.710874885291684e-07, + "loss": 0.4791, + "step": 6334 + }, + { + "epoch": 0.85, + "learning_rate": 5.700780623942975e-07, + "loss": 0.4789, + "step": 6335 + }, + { + "epoch": 0.85, + "learning_rate": 5.690694752203419e-07, + "loss": 0.4855, + "step": 6336 + }, + { + "epoch": 0.85, + "learning_rate": 5.680617271983107e-07, + "loss": 0.4456, + "step": 6337 + }, + { + "epoch": 0.85, + "learning_rate": 5.670548185190577e-07, + "loss": 0.4826, + "step": 6338 + }, + { + "epoch": 0.85, + "learning_rate": 5.660487493732769e-07, + "loss": 0.4716, + "step": 6339 + }, + { + "epoch": 0.85, + "learning_rate": 5.650435199514997e-07, + "loss": 0.4568, + "step": 6340 + }, + { + "epoch": 0.85, + "learning_rate": 5.640391304441051e-07, + "loss": 0.4533, + "step": 6341 + }, + { + "epoch": 0.85, + "learning_rate": 5.630355810413085e-07, + "loss": 0.4661, + "step": 6342 + }, + { + "epoch": 0.85, + "learning_rate": 5.620328719331658e-07, + "loss": 0.4413, + "step": 6343 + }, + { + "epoch": 0.85, + "learning_rate": 5.610310033095756e-07, + "loss": 0.4654, + "step": 6344 + }, + { + "epoch": 0.85, + "learning_rate": 5.600299753602789e-07, + "loss": 0.481, + "step": 6345 + }, + { + "epoch": 0.85, + "learning_rate": 5.590297882748513e-07, + "loss": 0.4687, + "step": 6346 + }, + { + "epoch": 0.85, + "learning_rate": 5.580304422427163e-07, + "loss": 0.4394, + "step": 6347 + }, + { + "epoch": 0.85, + "learning_rate": 5.570319374531358e-07, + "loss": 0.4718, + "step": 6348 + }, + { + "epoch": 0.85, + "learning_rate": 5.560342740952097e-07, + "loss": 0.4569, + "step": 6349 + }, + { + "epoch": 0.85, + "learning_rate": 5.550374523578805e-07, + "loss": 0.4505, + "step": 6350 + }, + { + "epoch": 0.85, + "learning_rate": 5.540414724299331e-07, + "loss": 0.4821, + "step": 6351 + }, + { + "epoch": 0.85, + "learning_rate": 5.530463344999875e-07, + "loss": 0.4888, + "step": 6352 + }, + { + "epoch": 0.85, + "learning_rate": 5.520520387565131e-07, + "loss": 0.4633, + "step": 6353 + }, + { + "epoch": 0.85, + "learning_rate": 5.510585853878109e-07, + "loss": 0.4681, + "step": 6354 + }, + { + "epoch": 0.85, + "learning_rate": 5.500659745820269e-07, + "loss": 0.4821, + "step": 6355 + }, + { + "epoch": 0.85, + "learning_rate": 5.490742065271482e-07, + "loss": 0.4661, + "step": 6356 + }, + { + "epoch": 0.85, + "learning_rate": 5.480832814109982e-07, + "loss": 0.447, + "step": 6357 + }, + { + "epoch": 0.85, + "learning_rate": 5.470931994212453e-07, + "loss": 0.4461, + "step": 6358 + }, + { + "epoch": 0.85, + "learning_rate": 5.461039607453949e-07, + "loss": 0.4624, + "step": 6359 + }, + { + "epoch": 0.85, + "learning_rate": 5.451155655707952e-07, + "loss": 0.4584, + "step": 6360 + }, + { + "epoch": 0.85, + "learning_rate": 5.441280140846333e-07, + "loss": 0.4691, + "step": 6361 + }, + { + "epoch": 0.85, + "learning_rate": 5.431413064739366e-07, + "loss": 0.4988, + "step": 6362 + }, + { + "epoch": 0.85, + "learning_rate": 5.421554429255721e-07, + "loss": 0.4333, + "step": 6363 + }, + { + "epoch": 0.86, + "learning_rate": 5.411704236262477e-07, + "loss": 0.4363, + "step": 6364 + }, + { + "epoch": 0.86, + "learning_rate": 5.401862487625115e-07, + "loss": 0.4564, + "step": 6365 + }, + { + "epoch": 0.86, + "learning_rate": 5.39202918520752e-07, + "loss": 0.4824, + "step": 6366 + }, + { + "epoch": 0.86, + "learning_rate": 5.382204330871965e-07, + "loss": 0.4424, + "step": 6367 + }, + { + "epoch": 0.86, + "learning_rate": 5.372387926479145e-07, + "loss": 0.4822, + "step": 6368 + }, + { + "epoch": 0.86, + "learning_rate": 5.362579973888116e-07, + "loss": 0.4574, + "step": 6369 + }, + { + "epoch": 0.86, + "learning_rate": 5.352780474956376e-07, + "loss": 0.4377, + "step": 6370 + }, + { + "epoch": 0.86, + "learning_rate": 5.342989431539791e-07, + "loss": 0.4789, + "step": 6371 + }, + { + "epoch": 0.86, + "learning_rate": 5.33320684549265e-07, + "loss": 0.4359, + "step": 6372 + }, + { + "epoch": 0.86, + "learning_rate": 5.323432718667621e-07, + "loss": 0.4381, + "step": 6373 + }, + { + "epoch": 0.86, + "learning_rate": 5.313667052915788e-07, + "loss": 0.4498, + "step": 6374 + }, + { + "epoch": 0.86, + "learning_rate": 5.303909850086602e-07, + "loss": 0.4941, + "step": 6375 + }, + { + "epoch": 0.86, + "learning_rate": 5.294161112027946e-07, + "loss": 0.4541, + "step": 6376 + }, + { + "epoch": 0.86, + "learning_rate": 5.284420840586085e-07, + "loss": 0.4401, + "step": 6377 + }, + { + "epoch": 0.86, + "learning_rate": 5.274689037605674e-07, + "loss": 0.4866, + "step": 6378 + }, + { + "epoch": 0.86, + "learning_rate": 5.264965704929781e-07, + "loss": 0.4324, + "step": 6379 + }, + { + "epoch": 0.86, + "learning_rate": 5.255250844399845e-07, + "loss": 0.4323, + "step": 6380 + }, + { + "epoch": 0.86, + "learning_rate": 5.245544457855723e-07, + "loss": 0.4797, + "step": 6381 + }, + { + "epoch": 0.86, + "learning_rate": 5.235846547135659e-07, + "loss": 0.4824, + "step": 6382 + }, + { + "epoch": 0.86, + "learning_rate": 5.226157114076291e-07, + "loss": 0.4627, + "step": 6383 + }, + { + "epoch": 0.86, + "learning_rate": 5.216476160512657e-07, + "loss": 0.4492, + "step": 6384 + }, + { + "epoch": 0.86, + "learning_rate": 5.206803688278189e-07, + "loss": 0.4665, + "step": 6385 + }, + { + "epoch": 0.86, + "learning_rate": 5.197139699204689e-07, + "loss": 0.4528, + "step": 6386 + }, + { + "epoch": 0.86, + "learning_rate": 5.187484195122388e-07, + "loss": 0.4745, + "step": 6387 + }, + { + "epoch": 0.86, + "learning_rate": 5.17783717785989e-07, + "loss": 0.4432, + "step": 6388 + }, + { + "epoch": 0.86, + "learning_rate": 5.168198649244199e-07, + "loss": 0.4749, + "step": 6389 + }, + { + "epoch": 0.86, + "learning_rate": 5.1585686111007e-07, + "loss": 0.4413, + "step": 6390 + }, + { + "epoch": 0.86, + "learning_rate": 5.148947065253196e-07, + "loss": 0.4345, + "step": 6391 + }, + { + "epoch": 0.86, + "learning_rate": 5.139334013523839e-07, + "loss": 0.4696, + "step": 6392 + }, + { + "epoch": 0.86, + "learning_rate": 5.129729457733207e-07, + "loss": 0.4571, + "step": 6393 + }, + { + "epoch": 0.86, + "learning_rate": 5.120133399700261e-07, + "loss": 0.4356, + "step": 6394 + }, + { + "epoch": 0.86, + "learning_rate": 5.110545841242353e-07, + "loss": 0.4654, + "step": 6395 + }, + { + "epoch": 0.86, + "learning_rate": 5.10096678417522e-07, + "loss": 0.4701, + "step": 6396 + }, + { + "epoch": 0.86, + "learning_rate": 5.091396230313001e-07, + "loss": 0.484, + "step": 6397 + }, + { + "epoch": 0.86, + "learning_rate": 5.081834181468204e-07, + "loss": 0.4702, + "step": 6398 + }, + { + "epoch": 0.86, + "learning_rate": 5.072280639451732e-07, + "loss": 0.4825, + "step": 6399 + }, + { + "epoch": 0.86, + "learning_rate": 5.0627356060729e-07, + "loss": 0.5063, + "step": 6400 + }, + { + "epoch": 0.86, + "learning_rate": 5.053199083139382e-07, + "loss": 0.4749, + "step": 6401 + }, + { + "epoch": 0.86, + "learning_rate": 5.043671072457263e-07, + "loss": 0.4622, + "step": 6402 + }, + { + "epoch": 0.86, + "learning_rate": 5.034151575831003e-07, + "loss": 0.4504, + "step": 6403 + }, + { + "epoch": 0.86, + "learning_rate": 5.024640595063446e-07, + "loss": 0.4617, + "step": 6404 + }, + { + "epoch": 0.86, + "learning_rate": 5.015138131955838e-07, + "loss": 0.4716, + "step": 6405 + }, + { + "epoch": 0.86, + "learning_rate": 5.005644188307779e-07, + "loss": 0.4406, + "step": 6406 + }, + { + "epoch": 0.86, + "learning_rate": 4.996158765917308e-07, + "loss": 0.4191, + "step": 6407 + }, + { + "epoch": 0.86, + "learning_rate": 4.986681866580829e-07, + "loss": 0.5054, + "step": 6408 + }, + { + "epoch": 0.86, + "learning_rate": 4.977213492093091e-07, + "loss": 0.4614, + "step": 6409 + }, + { + "epoch": 0.86, + "learning_rate": 4.967753644247286e-07, + "loss": 0.4826, + "step": 6410 + }, + { + "epoch": 0.86, + "learning_rate": 4.958302324834968e-07, + "loss": 0.4589, + "step": 6411 + }, + { + "epoch": 0.86, + "learning_rate": 4.948859535646061e-07, + "loss": 0.4932, + "step": 6412 + }, + { + "epoch": 0.86, + "learning_rate": 4.939425278468885e-07, + "loss": 0.4875, + "step": 6413 + }, + { + "epoch": 0.86, + "learning_rate": 4.929999555090176e-07, + "loss": 0.4723, + "step": 6414 + }, + { + "epoch": 0.86, + "learning_rate": 4.920582367295002e-07, + "loss": 0.469, + "step": 6415 + }, + { + "epoch": 0.86, + "learning_rate": 4.911173716866841e-07, + "loss": 0.4419, + "step": 6416 + }, + { + "epoch": 0.86, + "learning_rate": 4.901773605587562e-07, + "loss": 0.4544, + "step": 6417 + }, + { + "epoch": 0.86, + "learning_rate": 4.892382035237387e-07, + "loss": 0.4547, + "step": 6418 + }, + { + "epoch": 0.86, + "learning_rate": 4.882999007594935e-07, + "loss": 0.4862, + "step": 6419 + }, + { + "epoch": 0.86, + "learning_rate": 4.873624524437243e-07, + "loss": 0.4088, + "step": 6420 + }, + { + "epoch": 0.86, + "learning_rate": 4.864258587539672e-07, + "loss": 0.4383, + "step": 6421 + }, + { + "epoch": 0.86, + "learning_rate": 4.854901198675993e-07, + "loss": 0.4585, + "step": 6422 + }, + { + "epoch": 0.86, + "learning_rate": 4.845552359618372e-07, + "loss": 0.4401, + "step": 6423 + }, + { + "epoch": 0.86, + "learning_rate": 4.836212072137314e-07, + "loss": 0.4823, + "step": 6424 + }, + { + "epoch": 0.86, + "learning_rate": 4.826880338001732e-07, + "loss": 0.4706, + "step": 6425 + }, + { + "epoch": 0.86, + "learning_rate": 4.817557158978947e-07, + "loss": 0.4715, + "step": 6426 + }, + { + "epoch": 0.86, + "learning_rate": 4.808242536834601e-07, + "loss": 0.4635, + "step": 6427 + }, + { + "epoch": 0.86, + "learning_rate": 4.798936473332749e-07, + "loss": 0.4776, + "step": 6428 + }, + { + "epoch": 0.86, + "learning_rate": 4.789638970235833e-07, + "loss": 0.4621, + "step": 6429 + }, + { + "epoch": 0.86, + "learning_rate": 4.780350029304642e-07, + "loss": 0.4477, + "step": 6430 + }, + { + "epoch": 0.86, + "learning_rate": 4.771069652298376e-07, + "loss": 0.4808, + "step": 6431 + }, + { + "epoch": 0.86, + "learning_rate": 4.761797840974591e-07, + "loss": 0.441, + "step": 6432 + }, + { + "epoch": 0.86, + "learning_rate": 4.7525345970892367e-07, + "loss": 0.4537, + "step": 6433 + }, + { + "epoch": 0.86, + "learning_rate": 4.743279922396632e-07, + "loss": 0.4547, + "step": 6434 + }, + { + "epoch": 0.86, + "learning_rate": 4.734033818649469e-07, + "loss": 0.4726, + "step": 6435 + }, + { + "epoch": 0.86, + "learning_rate": 4.724796287598821e-07, + "loss": 0.4391, + "step": 6436 + }, + { + "epoch": 0.86, + "learning_rate": 4.7155673309941417e-07, + "loss": 0.4714, + "step": 6437 + }, + { + "epoch": 0.86, + "learning_rate": 4.706346950583257e-07, + "loss": 0.4812, + "step": 6438 + }, + { + "epoch": 0.87, + "learning_rate": 4.6971351481123694e-07, + "loss": 0.4675, + "step": 6439 + }, + { + "epoch": 0.87, + "learning_rate": 4.6879319253260615e-07, + "loss": 0.4437, + "step": 6440 + }, + { + "epoch": 0.87, + "learning_rate": 4.678737283967272e-07, + "loss": 0.4701, + "step": 6441 + }, + { + "epoch": 0.87, + "learning_rate": 4.6695512257773357e-07, + "loss": 0.4829, + "step": 6442 + }, + { + "epoch": 0.87, + "learning_rate": 4.660373752495956e-07, + "loss": 0.4701, + "step": 6443 + }, + { + "epoch": 0.87, + "learning_rate": 4.6512048658612085e-07, + "loss": 0.4897, + "step": 6444 + }, + { + "epoch": 0.87, + "learning_rate": 4.642044567609544e-07, + "loss": 0.4675, + "step": 6445 + }, + { + "epoch": 0.87, + "learning_rate": 4.632892859475796e-07, + "loss": 0.4851, + "step": 6446 + }, + { + "epoch": 0.87, + "learning_rate": 4.6237497431931344e-07, + "loss": 0.4558, + "step": 6447 + }, + { + "epoch": 0.87, + "learning_rate": 4.614615220493146e-07, + "loss": 0.4793, + "step": 6448 + }, + { + "epoch": 0.87, + "learning_rate": 4.605489293105775e-07, + "loss": 0.4628, + "step": 6449 + }, + { + "epoch": 0.87, + "learning_rate": 4.5963719627593273e-07, + "loss": 0.4036, + "step": 6450 + }, + { + "epoch": 0.87, + "learning_rate": 4.587263231180489e-07, + "loss": 0.4556, + "step": 6451 + }, + { + "epoch": 0.87, + "learning_rate": 4.5781631000943347e-07, + "loss": 0.4227, + "step": 6452 + }, + { + "epoch": 0.87, + "learning_rate": 4.5690715712242706e-07, + "loss": 0.4488, + "step": 6453 + }, + { + "epoch": 0.87, + "learning_rate": 4.559988646292102e-07, + "loss": 0.459, + "step": 6454 + }, + { + "epoch": 0.87, + "learning_rate": 4.5509143270180024e-07, + "loss": 0.4875, + "step": 6455 + }, + { + "epoch": 0.87, + "learning_rate": 4.5418486151205144e-07, + "loss": 0.4323, + "step": 6456 + }, + { + "epoch": 0.87, + "learning_rate": 4.5327915123165534e-07, + "loss": 0.462, + "step": 6457 + }, + { + "epoch": 0.87, + "learning_rate": 4.523743020321381e-07, + "loss": 0.4782, + "step": 6458 + }, + { + "epoch": 0.87, + "learning_rate": 4.5147031408486585e-07, + "loss": 0.5007, + "step": 6459 + }, + { + "epoch": 0.87, + "learning_rate": 4.505671875610401e-07, + "loss": 0.4415, + "step": 6460 + }, + { + "epoch": 0.87, + "learning_rate": 4.4966492263169905e-07, + "loss": 0.4653, + "step": 6461 + }, + { + "epoch": 0.87, + "learning_rate": 4.487635194677192e-07, + "loss": 0.4384, + "step": 6462 + }, + { + "epoch": 0.87, + "learning_rate": 4.4786297823981307e-07, + "loss": 0.4771, + "step": 6463 + }, + { + "epoch": 0.87, + "learning_rate": 4.46963299118528e-07, + "loss": 0.4349, + "step": 6464 + }, + { + "epoch": 0.87, + "learning_rate": 4.460644822742505e-07, + "loss": 0.4673, + "step": 6465 + }, + { + "epoch": 0.87, + "learning_rate": 4.451665278772044e-07, + "loss": 0.5107, + "step": 6466 + }, + { + "epoch": 0.87, + "learning_rate": 4.4426943609744586e-07, + "loss": 0.481, + "step": 6467 + }, + { + "epoch": 0.87, + "learning_rate": 4.4337320710487297e-07, + "loss": 0.4661, + "step": 6468 + }, + { + "epoch": 0.87, + "learning_rate": 4.424778410692182e-07, + "loss": 0.4473, + "step": 6469 + }, + { + "epoch": 0.87, + "learning_rate": 4.4158333816004926e-07, + "loss": 0.4659, + "step": 6470 + }, + { + "epoch": 0.87, + "learning_rate": 4.4068969854677234e-07, + "loss": 0.4514, + "step": 6471 + }, + { + "epoch": 0.87, + "learning_rate": 4.397969223986298e-07, + "loss": 0.4645, + "step": 6472 + }, + { + "epoch": 0.87, + "learning_rate": 4.3890500988469754e-07, + "loss": 0.468, + "step": 6473 + }, + { + "epoch": 0.87, + "learning_rate": 4.380139611738937e-07, + "loss": 0.4854, + "step": 6474 + }, + { + "epoch": 0.87, + "learning_rate": 4.3712377643496897e-07, + "loss": 0.4596, + "step": 6475 + }, + { + "epoch": 0.87, + "learning_rate": 4.3623445583650946e-07, + "loss": 0.4673, + "step": 6476 + }, + { + "epoch": 0.87, + "learning_rate": 4.3534599954694e-07, + "loss": 0.4614, + "step": 6477 + }, + { + "epoch": 0.87, + "learning_rate": 4.3445840773452154e-07, + "loss": 0.4426, + "step": 6478 + }, + { + "epoch": 0.87, + "learning_rate": 4.3357168056734843e-07, + "loss": 0.4688, + "step": 6479 + }, + { + "epoch": 0.87, + "learning_rate": 4.3268581821335756e-07, + "loss": 0.4412, + "step": 6480 + }, + { + "epoch": 0.87, + "learning_rate": 4.3180082084031407e-07, + "loss": 0.4858, + "step": 6481 + }, + { + "epoch": 0.87, + "learning_rate": 4.3091668861582503e-07, + "loss": 0.4597, + "step": 6482 + }, + { + "epoch": 0.87, + "learning_rate": 4.300334217073321e-07, + "loss": 0.4439, + "step": 6483 + }, + { + "epoch": 0.87, + "learning_rate": 4.29151020282112e-07, + "loss": 0.5104, + "step": 6484 + }, + { + "epoch": 0.87, + "learning_rate": 4.2826948450727823e-07, + "loss": 0.4452, + "step": 6485 + }, + { + "epoch": 0.87, + "learning_rate": 4.2738881454978066e-07, + "loss": 0.4617, + "step": 6486 + }, + { + "epoch": 0.87, + "learning_rate": 4.265090105764058e-07, + "loss": 0.412, + "step": 6487 + }, + { + "epoch": 0.87, + "learning_rate": 4.2563007275377486e-07, + "loss": 0.4896, + "step": 6488 + }, + { + "epoch": 0.87, + "learning_rate": 4.247520012483458e-07, + "loss": 0.4538, + "step": 6489 + }, + { + "epoch": 0.87, + "learning_rate": 4.2387479622641114e-07, + "loss": 0.4405, + "step": 6490 + }, + { + "epoch": 0.87, + "learning_rate": 4.229984578541013e-07, + "loss": 0.4762, + "step": 6491 + }, + { + "epoch": 0.87, + "learning_rate": 4.2212298629738136e-07, + "loss": 0.4768, + "step": 6492 + }, + { + "epoch": 0.87, + "learning_rate": 4.212483817220525e-07, + "loss": 0.4621, + "step": 6493 + }, + { + "epoch": 0.87, + "learning_rate": 4.203746442937523e-07, + "loss": 0.4906, + "step": 6494 + }, + { + "epoch": 0.87, + "learning_rate": 4.1950177417795336e-07, + "loss": 0.4566, + "step": 6495 + }, + { + "epoch": 0.87, + "learning_rate": 4.1862977153996344e-07, + "loss": 0.4671, + "step": 6496 + }, + { + "epoch": 0.87, + "learning_rate": 4.1775863654492767e-07, + "loss": 0.4849, + "step": 6497 + }, + { + "epoch": 0.87, + "learning_rate": 4.168883693578252e-07, + "loss": 0.4822, + "step": 6498 + }, + { + "epoch": 0.87, + "learning_rate": 4.1601897014347193e-07, + "loss": 0.46, + "step": 6499 + }, + { + "epoch": 0.87, + "learning_rate": 4.15150439066519e-07, + "loss": 0.4694, + "step": 6500 + }, + { + "epoch": 0.87, + "learning_rate": 4.1428277629145476e-07, + "loss": 0.4384, + "step": 6501 + }, + { + "epoch": 0.87, + "learning_rate": 4.134159819825989e-07, + "loss": 0.4866, + "step": 6502 + }, + { + "epoch": 0.87, + "learning_rate": 4.1255005630411073e-07, + "loss": 0.4846, + "step": 6503 + }, + { + "epoch": 0.87, + "learning_rate": 4.116849994199834e-07, + "loss": 0.4792, + "step": 6504 + }, + { + "epoch": 0.87, + "learning_rate": 4.1082081149404594e-07, + "loss": 0.441, + "step": 6505 + }, + { + "epoch": 0.87, + "learning_rate": 4.0995749268996356e-07, + "loss": 0.4651, + "step": 6506 + }, + { + "epoch": 0.87, + "learning_rate": 4.0909504317123316e-07, + "loss": 0.4458, + "step": 6507 + }, + { + "epoch": 0.87, + "learning_rate": 4.082334631011919e-07, + "loss": 0.4742, + "step": 6508 + }, + { + "epoch": 0.87, + "learning_rate": 4.0737275264300934e-07, + "loss": 0.441, + "step": 6509 + }, + { + "epoch": 0.87, + "learning_rate": 4.065129119596922e-07, + "loss": 0.4594, + "step": 6510 + }, + { + "epoch": 0.87, + "learning_rate": 4.0565394121407973e-07, + "loss": 0.5014, + "step": 6511 + }, + { + "epoch": 0.87, + "learning_rate": 4.047958405688507e-07, + "loss": 0.4489, + "step": 6512 + }, + { + "epoch": 0.88, + "learning_rate": 4.0393861018651394e-07, + "loss": 0.4592, + "step": 6513 + }, + { + "epoch": 0.88, + "learning_rate": 4.0308225022941685e-07, + "loss": 0.4818, + "step": 6514 + }, + { + "epoch": 0.88, + "learning_rate": 4.022267608597413e-07, + "loss": 0.4634, + "step": 6515 + }, + { + "epoch": 0.88, + "learning_rate": 4.0137214223950507e-07, + "loss": 0.4786, + "step": 6516 + }, + { + "epoch": 0.88, + "learning_rate": 4.005183945305585e-07, + "loss": 0.4468, + "step": 6517 + }, + { + "epoch": 0.88, + "learning_rate": 3.9966551789459075e-07, + "loss": 0.4518, + "step": 6518 + }, + { + "epoch": 0.88, + "learning_rate": 3.988135124931214e-07, + "loss": 0.4647, + "step": 6519 + }, + { + "epoch": 0.88, + "learning_rate": 3.9796237848750917e-07, + "loss": 0.4433, + "step": 6520 + }, + { + "epoch": 0.88, + "learning_rate": 3.971121160389452e-07, + "loss": 0.4616, + "step": 6521 + }, + { + "epoch": 0.88, + "learning_rate": 3.9626272530845723e-07, + "loss": 0.4484, + "step": 6522 + }, + { + "epoch": 0.88, + "learning_rate": 3.9541420645690665e-07, + "loss": 0.483, + "step": 6523 + }, + { + "epoch": 0.88, + "learning_rate": 3.945665596449916e-07, + "loss": 0.4972, + "step": 6524 + }, + { + "epoch": 0.88, + "learning_rate": 3.9371978503324135e-07, + "loss": 0.4713, + "step": 6525 + }, + { + "epoch": 0.88, + "learning_rate": 3.9287388278202385e-07, + "loss": 0.4383, + "step": 6526 + }, + { + "epoch": 0.88, + "learning_rate": 3.920288530515398e-07, + "loss": 0.4583, + "step": 6527 + }, + { + "epoch": 0.88, + "learning_rate": 3.9118469600182565e-07, + "loss": 0.4695, + "step": 6528 + }, + { + "epoch": 0.88, + "learning_rate": 3.903414117927512e-07, + "loss": 0.5014, + "step": 6529 + }, + { + "epoch": 0.88, + "learning_rate": 3.894990005840238e-07, + "loss": 0.4551, + "step": 6530 + }, + { + "epoch": 0.88, + "learning_rate": 3.8865746253518135e-07, + "loss": 0.4638, + "step": 6531 + }, + { + "epoch": 0.88, + "learning_rate": 3.8781679780560077e-07, + "loss": 0.4817, + "step": 6532 + }, + { + "epoch": 0.88, + "learning_rate": 3.8697700655448755e-07, + "loss": 0.4263, + "step": 6533 + }, + { + "epoch": 0.88, + "learning_rate": 3.8613808894088943e-07, + "loss": 0.4266, + "step": 6534 + }, + { + "epoch": 0.88, + "learning_rate": 3.8530004512368433e-07, + "loss": 0.4851, + "step": 6535 + }, + { + "epoch": 0.88, + "learning_rate": 3.844628752615831e-07, + "loss": 0.4679, + "step": 6536 + }, + { + "epoch": 0.88, + "learning_rate": 3.83626579513135e-07, + "loss": 0.461, + "step": 6537 + }, + { + "epoch": 0.88, + "learning_rate": 3.827911580367216e-07, + "loss": 0.4397, + "step": 6538 + }, + { + "epoch": 0.88, + "learning_rate": 3.819566109905587e-07, + "loss": 0.4578, + "step": 6539 + }, + { + "epoch": 0.88, + "learning_rate": 3.8112293853269646e-07, + "loss": 0.4887, + "step": 6540 + }, + { + "epoch": 0.88, + "learning_rate": 3.802901408210224e-07, + "loss": 0.4589, + "step": 6541 + }, + { + "epoch": 0.88, + "learning_rate": 3.7945821801325334e-07, + "loss": 0.4504, + "step": 6542 + }, + { + "epoch": 0.88, + "learning_rate": 3.786271702669447e-07, + "loss": 0.4437, + "step": 6543 + }, + { + "epoch": 0.88, + "learning_rate": 3.777969977394841e-07, + "loss": 0.4751, + "step": 6544 + }, + { + "epoch": 0.88, + "learning_rate": 3.7696770058809285e-07, + "loss": 0.4908, + "step": 6545 + }, + { + "epoch": 0.88, + "learning_rate": 3.7613927896982706e-07, + "loss": 0.4642, + "step": 6546 + }, + { + "epoch": 0.88, + "learning_rate": 3.7531173304158067e-07, + "loss": 0.4269, + "step": 6547 + }, + { + "epoch": 0.88, + "learning_rate": 3.7448506296007494e-07, + "loss": 0.4664, + "step": 6548 + }, + { + "epoch": 0.88, + "learning_rate": 3.736592688818702e-07, + "loss": 0.4943, + "step": 6549 + }, + { + "epoch": 0.88, + "learning_rate": 3.728343509633603e-07, + "loss": 0.494, + "step": 6550 + }, + { + "epoch": 0.88, + "learning_rate": 3.720103093607702e-07, + "loss": 0.4745, + "step": 6551 + }, + { + "epoch": 0.88, + "learning_rate": 3.7118714423016235e-07, + "loss": 0.4763, + "step": 6552 + }, + { + "epoch": 0.88, + "learning_rate": 3.703648557274325e-07, + "loss": 0.4551, + "step": 6553 + }, + { + "epoch": 0.88, + "learning_rate": 3.69543444008309e-07, + "loss": 0.446, + "step": 6554 + }, + { + "epoch": 0.88, + "learning_rate": 3.6872290922835505e-07, + "loss": 0.5008, + "step": 6555 + }, + { + "epoch": 0.88, + "learning_rate": 3.679032515429681e-07, + "loss": 0.4522, + "step": 6556 + }, + { + "epoch": 0.88, + "learning_rate": 3.670844711073784e-07, + "loss": 0.4809, + "step": 6557 + }, + { + "epoch": 0.88, + "learning_rate": 3.662665680766508e-07, + "loss": 0.4555, + "step": 6558 + }, + { + "epoch": 0.88, + "learning_rate": 3.654495426056837e-07, + "loss": 0.4685, + "step": 6559 + }, + { + "epoch": 0.88, + "learning_rate": 3.646333948492098e-07, + "loss": 0.4688, + "step": 6560 + }, + { + "epoch": 0.88, + "learning_rate": 3.638181249617967e-07, + "loss": 0.4254, + "step": 6561 + }, + { + "epoch": 0.88, + "learning_rate": 3.630037330978414e-07, + "loss": 0.4794, + "step": 6562 + }, + { + "epoch": 0.88, + "learning_rate": 3.621902194115795e-07, + "loss": 0.4576, + "step": 6563 + }, + { + "epoch": 0.88, + "learning_rate": 3.613775840570777e-07, + "loss": 0.4688, + "step": 6564 + }, + { + "epoch": 0.88, + "learning_rate": 3.605658271882373e-07, + "loss": 0.4394, + "step": 6565 + }, + { + "epoch": 0.88, + "learning_rate": 3.5975494895879257e-07, + "loss": 0.4575, + "step": 6566 + }, + { + "epoch": 0.88, + "learning_rate": 3.589449495223124e-07, + "loss": 0.4521, + "step": 6567 + }, + { + "epoch": 0.88, + "learning_rate": 3.581358290321979e-07, + "loss": 0.4364, + "step": 6568 + }, + { + "epoch": 0.88, + "learning_rate": 3.573275876416843e-07, + "loss": 0.4534, + "step": 6569 + }, + { + "epoch": 0.88, + "learning_rate": 3.565202255038402e-07, + "loss": 0.4477, + "step": 6570 + }, + { + "epoch": 0.88, + "learning_rate": 3.55713742771569e-07, + "loss": 0.4799, + "step": 6571 + }, + { + "epoch": 0.88, + "learning_rate": 3.5490813959760506e-07, + "loss": 0.4666, + "step": 6572 + }, + { + "epoch": 0.88, + "learning_rate": 3.541034161345197e-07, + "loss": 0.454, + "step": 6573 + }, + { + "epoch": 0.88, + "learning_rate": 3.5329957253471327e-07, + "loss": 0.4719, + "step": 6574 + }, + { + "epoch": 0.88, + "learning_rate": 3.5249660895042226e-07, + "loss": 0.4771, + "step": 6575 + }, + { + "epoch": 0.88, + "learning_rate": 3.5169452553371673e-07, + "loss": 0.4491, + "step": 6576 + }, + { + "epoch": 0.88, + "learning_rate": 3.5089332243649854e-07, + "loss": 0.4663, + "step": 6577 + }, + { + "epoch": 0.88, + "learning_rate": 3.500929998105035e-07, + "loss": 0.4621, + "step": 6578 + }, + { + "epoch": 0.88, + "learning_rate": 3.4929355780730256e-07, + "loss": 0.4707, + "step": 6579 + }, + { + "epoch": 0.88, + "learning_rate": 3.484949965782952e-07, + "loss": 0.4817, + "step": 6580 + }, + { + "epoch": 0.88, + "learning_rate": 3.476973162747183e-07, + "loss": 0.4662, + "step": 6581 + }, + { + "epoch": 0.88, + "learning_rate": 3.469005170476408e-07, + "loss": 0.4499, + "step": 6582 + }, + { + "epoch": 0.88, + "learning_rate": 3.461045990479645e-07, + "loss": 0.4589, + "step": 6583 + }, + { + "epoch": 0.88, + "learning_rate": 3.453095624264252e-07, + "loss": 0.4707, + "step": 6584 + }, + { + "epoch": 0.88, + "learning_rate": 3.445154073335888e-07, + "loss": 0.4589, + "step": 6585 + }, + { + "epoch": 0.88, + "learning_rate": 3.4372213391985763e-07, + "loss": 0.4499, + "step": 6586 + }, + { + "epoch": 0.88, + "learning_rate": 3.429297423354655e-07, + "loss": 0.446, + "step": 6587 + }, + { + "epoch": 0.89, + "learning_rate": 3.4213823273048006e-07, + "loss": 0.4608, + "step": 6588 + }, + { + "epoch": 0.89, + "learning_rate": 3.413476052548009e-07, + "loss": 0.4782, + "step": 6589 + }, + { + "epoch": 0.89, + "learning_rate": 3.4055786005816215e-07, + "loss": 0.4219, + "step": 6590 + }, + { + "epoch": 0.89, + "learning_rate": 3.3976899729012746e-07, + "loss": 0.4771, + "step": 6591 + }, + { + "epoch": 0.89, + "learning_rate": 3.3898101710009734e-07, + "loss": 0.4935, + "step": 6592 + }, + { + "epoch": 0.89, + "learning_rate": 3.3819391963730406e-07, + "loss": 0.477, + "step": 6593 + }, + { + "epoch": 0.89, + "learning_rate": 3.37407705050809e-07, + "loss": 0.4407, + "step": 6594 + }, + { + "epoch": 0.89, + "learning_rate": 3.3662237348951245e-07, + "loss": 0.4698, + "step": 6595 + }, + { + "epoch": 0.89, + "learning_rate": 3.358379251021443e-07, + "loss": 0.4587, + "step": 6596 + }, + { + "epoch": 0.89, + "learning_rate": 3.3505436003726576e-07, + "loss": 0.4868, + "step": 6597 + }, + { + "epoch": 0.89, + "learning_rate": 3.3427167844327313e-07, + "loss": 0.485, + "step": 6598 + }, + { + "epoch": 0.89, + "learning_rate": 3.334898804683956e-07, + "loss": 0.486, + "step": 6599 + }, + { + "epoch": 0.89, + "learning_rate": 3.3270896626069136e-07, + "loss": 0.4666, + "step": 6600 + }, + { + "epoch": 0.89, + "learning_rate": 3.319289359680561e-07, + "loss": 0.5037, + "step": 6601 + }, + { + "epoch": 0.89, + "learning_rate": 3.31149789738216e-07, + "loss": 0.4333, + "step": 6602 + }, + { + "epoch": 0.89, + "learning_rate": 3.303715277187286e-07, + "loss": 0.4482, + "step": 6603 + }, + { + "epoch": 0.89, + "learning_rate": 3.2959415005698493e-07, + "loss": 0.4814, + "step": 6604 + }, + { + "epoch": 0.89, + "learning_rate": 3.288176569002105e-07, + "loss": 0.4361, + "step": 6605 + }, + { + "epoch": 0.89, + "learning_rate": 3.280420483954583e-07, + "loss": 0.4395, + "step": 6606 + }, + { + "epoch": 0.89, + "learning_rate": 3.2726732468961963e-07, + "loss": 0.4469, + "step": 6607 + }, + { + "epoch": 0.89, + "learning_rate": 3.2649348592941553e-07, + "loss": 0.4686, + "step": 6608 + }, + { + "epoch": 0.89, + "learning_rate": 3.2572053226139824e-07, + "loss": 0.4708, + "step": 6609 + }, + { + "epoch": 0.89, + "learning_rate": 3.24948463831955e-07, + "loss": 0.4389, + "step": 6610 + }, + { + "epoch": 0.89, + "learning_rate": 3.2417728078730226e-07, + "loss": 0.4699, + "step": 6611 + }, + { + "epoch": 0.89, + "learning_rate": 3.234069832734904e-07, + "loss": 0.4837, + "step": 6612 + }, + { + "epoch": 0.89, + "learning_rate": 3.2263757143640494e-07, + "loss": 0.4592, + "step": 6613 + }, + { + "epoch": 0.89, + "learning_rate": 3.2186904542175876e-07, + "loss": 0.4993, + "step": 6614 + }, + { + "epoch": 0.89, + "learning_rate": 3.211014053750994e-07, + "loss": 0.4658, + "step": 6615 + }, + { + "epoch": 0.89, + "learning_rate": 3.2033465144180767e-07, + "loss": 0.4493, + "step": 6616 + }, + { + "epoch": 0.89, + "learning_rate": 3.1956878376709355e-07, + "loss": 0.4707, + "step": 6617 + }, + { + "epoch": 0.89, + "learning_rate": 3.1880380249600216e-07, + "loss": 0.4574, + "step": 6618 + }, + { + "epoch": 0.89, + "learning_rate": 3.180397077734082e-07, + "loss": 0.4685, + "step": 6619 + }, + { + "epoch": 0.89, + "learning_rate": 3.172764997440214e-07, + "loss": 0.4394, + "step": 6620 + }, + { + "epoch": 0.89, + "learning_rate": 3.1651417855238066e-07, + "loss": 0.4969, + "step": 6621 + }, + { + "epoch": 0.89, + "learning_rate": 3.1575274434285983e-07, + "loss": 0.4799, + "step": 6622 + }, + { + "epoch": 0.89, + "learning_rate": 3.149921972596609e-07, + "loss": 0.423, + "step": 6623 + }, + { + "epoch": 0.89, + "learning_rate": 3.142325374468214e-07, + "loss": 0.4814, + "step": 6624 + }, + { + "epoch": 0.89, + "learning_rate": 3.134737650482095e-07, + "loss": 0.4511, + "step": 6625 + }, + { + "epoch": 0.89, + "learning_rate": 3.1271588020752476e-07, + "loss": 0.4458, + "step": 6626 + }, + { + "epoch": 0.89, + "learning_rate": 3.1195888306830015e-07, + "loss": 0.4191, + "step": 6627 + }, + { + "epoch": 0.89, + "learning_rate": 3.1120277377389984e-07, + "loss": 0.4432, + "step": 6628 + }, + { + "epoch": 0.89, + "learning_rate": 3.1044755246751766e-07, + "loss": 0.4524, + "step": 6629 + }, + { + "epoch": 0.89, + "learning_rate": 3.096932192921831e-07, + "loss": 0.4791, + "step": 6630 + }, + { + "epoch": 0.89, + "learning_rate": 3.089397743907546e-07, + "loss": 0.4592, + "step": 6631 + }, + { + "epoch": 0.89, + "learning_rate": 3.081872179059236e-07, + "loss": 0.4965, + "step": 6632 + }, + { + "epoch": 0.89, + "learning_rate": 3.074355499802134e-07, + "loss": 0.4585, + "step": 6633 + }, + { + "epoch": 0.89, + "learning_rate": 3.066847707559789e-07, + "loss": 0.4742, + "step": 6634 + }, + { + "epoch": 0.89, + "learning_rate": 3.0593488037540533e-07, + "loss": 0.467, + "step": 6635 + }, + { + "epoch": 0.89, + "learning_rate": 3.0518587898051065e-07, + "loss": 0.4696, + "step": 6636 + }, + { + "epoch": 0.89, + "learning_rate": 3.0443776671314593e-07, + "loss": 0.4703, + "step": 6637 + }, + { + "epoch": 0.89, + "learning_rate": 3.036905437149912e-07, + "loss": 0.4669, + "step": 6638 + }, + { + "epoch": 0.89, + "learning_rate": 3.0294421012756095e-07, + "loss": 0.4403, + "step": 6639 + }, + { + "epoch": 0.89, + "learning_rate": 3.021987660921971e-07, + "loss": 0.5021, + "step": 6640 + }, + { + "epoch": 0.89, + "learning_rate": 3.014542117500774e-07, + "loss": 0.458, + "step": 6641 + }, + { + "epoch": 0.89, + "learning_rate": 3.007105472422084e-07, + "loss": 0.4293, + "step": 6642 + }, + { + "epoch": 0.89, + "learning_rate": 2.9996777270942966e-07, + "loss": 0.4838, + "step": 6643 + }, + { + "epoch": 0.89, + "learning_rate": 2.992258882924115e-07, + "loss": 0.4899, + "step": 6644 + }, + { + "epoch": 0.89, + "learning_rate": 2.984848941316565e-07, + "loss": 0.4728, + "step": 6645 + }, + { + "epoch": 0.89, + "learning_rate": 2.977447903674957e-07, + "loss": 0.4667, + "step": 6646 + }, + { + "epoch": 0.89, + "learning_rate": 2.9700557714009484e-07, + "loss": 0.4886, + "step": 6647 + }, + { + "epoch": 0.89, + "learning_rate": 2.9626725458945016e-07, + "loss": 0.4534, + "step": 6648 + }, + { + "epoch": 0.89, + "learning_rate": 2.9552982285538823e-07, + "loss": 0.4612, + "step": 6649 + }, + { + "epoch": 0.89, + "learning_rate": 2.947932820775684e-07, + "loss": 0.4713, + "step": 6650 + }, + { + "epoch": 0.89, + "learning_rate": 2.940576323954808e-07, + "loss": 0.4375, + "step": 6651 + }, + { + "epoch": 0.89, + "learning_rate": 2.9332287394844505e-07, + "loss": 0.4511, + "step": 6652 + }, + { + "epoch": 0.89, + "learning_rate": 2.9258900687561374e-07, + "loss": 0.4182, + "step": 6653 + }, + { + "epoch": 0.89, + "learning_rate": 2.9185603131597073e-07, + "loss": 0.4576, + "step": 6654 + }, + { + "epoch": 0.89, + "learning_rate": 2.911239474083311e-07, + "loss": 0.468, + "step": 6655 + }, + { + "epoch": 0.89, + "learning_rate": 2.9039275529133935e-07, + "loss": 0.4447, + "step": 6656 + }, + { + "epoch": 0.89, + "learning_rate": 2.8966245510347436e-07, + "loss": 0.4476, + "step": 6657 + }, + { + "epoch": 0.89, + "learning_rate": 2.8893304698304147e-07, + "loss": 0.4798, + "step": 6658 + }, + { + "epoch": 0.89, + "learning_rate": 2.8820453106818083e-07, + "loss": 0.4663, + "step": 6659 + }, + { + "epoch": 0.89, + "learning_rate": 2.874769074968625e-07, + "loss": 0.4844, + "step": 6660 + }, + { + "epoch": 0.89, + "learning_rate": 2.8675017640688805e-07, + "loss": 0.4347, + "step": 6661 + }, + { + "epoch": 0.9, + "learning_rate": 2.860243379358896e-07, + "loss": 0.4709, + "step": 6662 + }, + { + "epoch": 0.9, + "learning_rate": 2.852993922213282e-07, + "loss": 0.4428, + "step": 6663 + }, + { + "epoch": 0.9, + "learning_rate": 2.845753394004991e-07, + "loss": 0.48, + "step": 6664 + }, + { + "epoch": 0.9, + "learning_rate": 2.838521796105276e-07, + "loss": 0.4631, + "step": 6665 + }, + { + "epoch": 0.9, + "learning_rate": 2.8312991298836746e-07, + "loss": 0.4638, + "step": 6666 + }, + { + "epoch": 0.9, + "learning_rate": 2.8240853967080705e-07, + "loss": 0.4896, + "step": 6667 + }, + { + "epoch": 0.9, + "learning_rate": 2.8168805979446325e-07, + "loss": 0.4481, + "step": 6668 + }, + { + "epoch": 0.9, + "learning_rate": 2.809684734957835e-07, + "loss": 0.4571, + "step": 6669 + }, + { + "epoch": 0.9, + "learning_rate": 2.802497809110472e-07, + "loss": 0.4393, + "step": 6670 + }, + { + "epoch": 0.9, + "learning_rate": 2.795319821763648e-07, + "loss": 0.4315, + "step": 6671 + }, + { + "epoch": 0.9, + "learning_rate": 2.7881507742767433e-07, + "loss": 0.5021, + "step": 6672 + }, + { + "epoch": 0.9, + "learning_rate": 2.780990668007477e-07, + "loss": 0.4359, + "step": 6673 + }, + { + "epoch": 0.9, + "learning_rate": 2.7738395043118873e-07, + "loss": 0.4615, + "step": 6674 + }, + { + "epoch": 0.9, + "learning_rate": 2.766697284544273e-07, + "loss": 0.4663, + "step": 6675 + }, + { + "epoch": 0.9, + "learning_rate": 2.7595640100572696e-07, + "loss": 0.4684, + "step": 6676 + }, + { + "epoch": 0.9, + "learning_rate": 2.752439682201824e-07, + "loss": 0.4574, + "step": 6677 + }, + { + "epoch": 0.9, + "learning_rate": 2.7453243023271625e-07, + "loss": 0.5106, + "step": 6678 + }, + { + "epoch": 0.9, + "learning_rate": 2.738217871780824e-07, + "loss": 0.4817, + "step": 6679 + }, + { + "epoch": 0.9, + "learning_rate": 2.7311203919086927e-07, + "loss": 0.4712, + "step": 6680 + }, + { + "epoch": 0.9, + "learning_rate": 2.724031864054899e-07, + "loss": 0.4709, + "step": 6681 + }, + { + "epoch": 0.9, + "learning_rate": 2.716952289561908e-07, + "loss": 0.4717, + "step": 6682 + }, + { + "epoch": 0.9, + "learning_rate": 2.709881669770492e-07, + "loss": 0.4349, + "step": 6683 + }, + { + "epoch": 0.9, + "learning_rate": 2.702820006019713e-07, + "loss": 0.4732, + "step": 6684 + }, + { + "epoch": 0.9, + "learning_rate": 2.69576729964694e-07, + "loss": 0.4735, + "step": 6685 + }, + { + "epoch": 0.9, + "learning_rate": 2.6887235519878706e-07, + "loss": 0.4708, + "step": 6686 + }, + { + "epoch": 0.9, + "learning_rate": 2.681688764376461e-07, + "loss": 0.4767, + "step": 6687 + }, + { + "epoch": 0.9, + "learning_rate": 2.6746629381450175e-07, + "loss": 0.4662, + "step": 6688 + }, + { + "epoch": 0.9, + "learning_rate": 2.667646074624108e-07, + "loss": 0.4652, + "step": 6689 + }, + { + "epoch": 0.9, + "learning_rate": 2.660638175142627e-07, + "loss": 0.4915, + "step": 6690 + }, + { + "epoch": 0.9, + "learning_rate": 2.653639241027772e-07, + "loss": 0.4656, + "step": 6691 + }, + { + "epoch": 0.9, + "learning_rate": 2.646649273605023e-07, + "loss": 0.4842, + "step": 6692 + }, + { + "epoch": 0.9, + "learning_rate": 2.6396682741981873e-07, + "loss": 0.4622, + "step": 6693 + }, + { + "epoch": 0.9, + "learning_rate": 2.632696244129368e-07, + "loss": 0.4872, + "step": 6694 + }, + { + "epoch": 0.9, + "learning_rate": 2.6257331847189425e-07, + "loss": 0.4699, + "step": 6695 + }, + { + "epoch": 0.9, + "learning_rate": 2.618779097285623e-07, + "loss": 0.4795, + "step": 6696 + }, + { + "epoch": 0.9, + "learning_rate": 2.6118339831464056e-07, + "loss": 0.4442, + "step": 6697 + }, + { + "epoch": 0.9, + "learning_rate": 2.604897843616594e-07, + "loss": 0.4888, + "step": 6698 + }, + { + "epoch": 0.9, + "learning_rate": 2.597970680009787e-07, + "loss": 0.4544, + "step": 6699 + }, + { + "epoch": 0.9, + "learning_rate": 2.5910524936378913e-07, + "loss": 0.4847, + "step": 6700 + }, + { + "epoch": 0.9, + "learning_rate": 2.5841432858111026e-07, + "loss": 0.4617, + "step": 6701 + }, + { + "epoch": 0.9, + "learning_rate": 2.5772430578379194e-07, + "loss": 0.4552, + "step": 6702 + }, + { + "epoch": 0.9, + "learning_rate": 2.5703518110251404e-07, + "loss": 0.4882, + "step": 6703 + }, + { + "epoch": 0.9, + "learning_rate": 2.563469546677871e-07, + "loss": 0.4547, + "step": 6704 + }, + { + "epoch": 0.9, + "learning_rate": 2.5565962660995093e-07, + "loss": 0.4735, + "step": 6705 + }, + { + "epoch": 0.9, + "learning_rate": 2.549731970591751e-07, + "loss": 0.4791, + "step": 6706 + }, + { + "epoch": 0.9, + "learning_rate": 2.542876661454585e-07, + "loss": 0.4725, + "step": 6707 + }, + { + "epoch": 0.9, + "learning_rate": 2.536030339986306e-07, + "loss": 0.4451, + "step": 6708 + }, + { + "epoch": 0.9, + "learning_rate": 2.5291930074835103e-07, + "loss": 0.4503, + "step": 6709 + }, + { + "epoch": 0.9, + "learning_rate": 2.522364665241084e-07, + "loss": 0.464, + "step": 6710 + }, + { + "epoch": 0.9, + "learning_rate": 2.5155453145522147e-07, + "loss": 0.4706, + "step": 6711 + }, + { + "epoch": 0.9, + "learning_rate": 2.5087349567083754e-07, + "loss": 0.4495, + "step": 6712 + }, + { + "epoch": 0.9, + "learning_rate": 2.501933592999356e-07, + "loss": 0.4696, + "step": 6713 + }, + { + "epoch": 0.9, + "learning_rate": 2.495141224713232e-07, + "loss": 0.4656, + "step": 6714 + }, + { + "epoch": 0.9, + "learning_rate": 2.4883578531363693e-07, + "loss": 0.4784, + "step": 6715 + }, + { + "epoch": 0.9, + "learning_rate": 2.4815834795534454e-07, + "loss": 0.4404, + "step": 6716 + }, + { + "epoch": 0.9, + "learning_rate": 2.4748181052474283e-07, + "loss": 0.449, + "step": 6717 + }, + { + "epoch": 0.9, + "learning_rate": 2.468061731499566e-07, + "loss": 0.4746, + "step": 6718 + }, + { + "epoch": 0.9, + "learning_rate": 2.4613143595894226e-07, + "loss": 0.4758, + "step": 6719 + }, + { + "epoch": 0.9, + "learning_rate": 2.45457599079485e-07, + "loss": 0.4777, + "step": 6720 + }, + { + "epoch": 0.9, + "learning_rate": 2.447846626391981e-07, + "loss": 0.4558, + "step": 6721 + }, + { + "epoch": 0.9, + "learning_rate": 2.441126267655275e-07, + "loss": 0.4376, + "step": 6722 + }, + { + "epoch": 0.9, + "learning_rate": 2.434414915857464e-07, + "loss": 0.4924, + "step": 6723 + }, + { + "epoch": 0.9, + "learning_rate": 2.427712572269569e-07, + "loss": 0.4682, + "step": 6724 + }, + { + "epoch": 0.9, + "learning_rate": 2.421019238160921e-07, + "loss": 0.4599, + "step": 6725 + }, + { + "epoch": 0.9, + "learning_rate": 2.414334914799138e-07, + "loss": 0.4619, + "step": 6726 + }, + { + "epoch": 0.9, + "learning_rate": 2.407659603450113e-07, + "loss": 0.456, + "step": 6727 + }, + { + "epoch": 0.9, + "learning_rate": 2.400993305378069e-07, + "loss": 0.4831, + "step": 6728 + }, + { + "epoch": 0.9, + "learning_rate": 2.394336021845511e-07, + "loss": 0.4622, + "step": 6729 + }, + { + "epoch": 0.9, + "learning_rate": 2.387687754113205e-07, + "loss": 0.4729, + "step": 6730 + }, + { + "epoch": 0.9, + "learning_rate": 2.381048503440242e-07, + "loss": 0.4849, + "step": 6731 + }, + { + "epoch": 0.9, + "learning_rate": 2.3744182710840113e-07, + "loss": 0.4311, + "step": 6732 + }, + { + "epoch": 0.9, + "learning_rate": 2.367797058300153e-07, + "loss": 0.4752, + "step": 6733 + }, + { + "epoch": 0.9, + "learning_rate": 2.3611848663426474e-07, + "loss": 0.4456, + "step": 6734 + }, + { + "epoch": 0.9, + "learning_rate": 2.3545816964637425e-07, + "loss": 0.445, + "step": 6735 + }, + { + "epoch": 0.91, + "learning_rate": 2.3479875499139716e-07, + "loss": 0.4494, + "step": 6736 + }, + { + "epoch": 0.91, + "learning_rate": 2.3414024279421743e-07, + "loss": 0.4688, + "step": 6737 + }, + { + "epoch": 0.91, + "learning_rate": 2.3348263317954644e-07, + "loss": 0.4493, + "step": 6738 + }, + { + "epoch": 0.91, + "learning_rate": 2.3282592627192568e-07, + "loss": 0.4573, + "step": 6739 + }, + { + "epoch": 0.91, + "learning_rate": 2.3217012219572789e-07, + "loss": 0.4583, + "step": 6740 + }, + { + "epoch": 0.91, + "learning_rate": 2.3151522107514924e-07, + "loss": 0.4556, + "step": 6741 + }, + { + "epoch": 0.91, + "learning_rate": 2.3086122303422053e-07, + "loss": 0.4703, + "step": 6742 + }, + { + "epoch": 0.91, + "learning_rate": 2.3020812819679882e-07, + "loss": 0.5029, + "step": 6743 + }, + { + "epoch": 0.91, + "learning_rate": 2.2955593668656962e-07, + "loss": 0.4359, + "step": 6744 + }, + { + "epoch": 0.91, + "learning_rate": 2.2890464862704853e-07, + "loss": 0.4529, + "step": 6745 + }, + { + "epoch": 0.91, + "learning_rate": 2.2825426414158024e-07, + "loss": 0.4522, + "step": 6746 + }, + { + "epoch": 0.91, + "learning_rate": 2.2760478335333734e-07, + "loss": 0.4369, + "step": 6747 + }, + { + "epoch": 0.91, + "learning_rate": 2.26956206385322e-07, + "loss": 0.4681, + "step": 6748 + }, + { + "epoch": 0.91, + "learning_rate": 2.2630853336036595e-07, + "loss": 0.4586, + "step": 6749 + }, + { + "epoch": 0.91, + "learning_rate": 2.2566176440112663e-07, + "loss": 0.4707, + "step": 6750 + }, + { + "epoch": 0.91, + "learning_rate": 2.250158996300944e-07, + "loss": 0.442, + "step": 6751 + }, + { + "epoch": 0.91, + "learning_rate": 2.2437093916958474e-07, + "loss": 0.4311, + "step": 6752 + }, + { + "epoch": 0.91, + "learning_rate": 2.2372688314174496e-07, + "loss": 0.4852, + "step": 6753 + }, + { + "epoch": 0.91, + "learning_rate": 2.2308373166854856e-07, + "loss": 0.4309, + "step": 6754 + }, + { + "epoch": 0.91, + "learning_rate": 2.2244148487180038e-07, + "loss": 0.4547, + "step": 6755 + }, + { + "epoch": 0.91, + "learning_rate": 2.218001428731298e-07, + "loss": 0.4944, + "step": 6756 + }, + { + "epoch": 0.91, + "learning_rate": 2.211597057939996e-07, + "loss": 0.4868, + "step": 6757 + }, + { + "epoch": 0.91, + "learning_rate": 2.205201737556978e-07, + "loss": 0.5029, + "step": 6758 + }, + { + "epoch": 0.91, + "learning_rate": 2.198815468793425e-07, + "loss": 0.4589, + "step": 6759 + }, + { + "epoch": 0.91, + "learning_rate": 2.1924382528588085e-07, + "loss": 0.4795, + "step": 6760 + }, + { + "epoch": 0.91, + "learning_rate": 2.1860700909608678e-07, + "loss": 0.4652, + "step": 6761 + }, + { + "epoch": 0.91, + "learning_rate": 2.1797109843056442e-07, + "loss": 0.451, + "step": 6762 + }, + { + "epoch": 0.91, + "learning_rate": 2.173360934097446e-07, + "loss": 0.4823, + "step": 6763 + }, + { + "epoch": 0.91, + "learning_rate": 2.1670199415388893e-07, + "loss": 0.4641, + "step": 6764 + }, + { + "epoch": 0.91, + "learning_rate": 2.160688007830858e-07, + "loss": 0.46, + "step": 6765 + }, + { + "epoch": 0.91, + "learning_rate": 2.1543651341725315e-07, + "loss": 0.4138, + "step": 6766 + }, + { + "epoch": 0.91, + "learning_rate": 2.1480513217613574e-07, + "loss": 0.426, + "step": 6767 + }, + { + "epoch": 0.91, + "learning_rate": 2.141746571793085e-07, + "loss": 0.4981, + "step": 6768 + }, + { + "epoch": 0.91, + "learning_rate": 2.1354508854617317e-07, + "loss": 0.4385, + "step": 6769 + }, + { + "epoch": 0.91, + "learning_rate": 2.1291642639596155e-07, + "loss": 0.4681, + "step": 6770 + }, + { + "epoch": 0.91, + "learning_rate": 2.1228867084773286e-07, + "loss": 0.4695, + "step": 6771 + }, + { + "epoch": 0.91, + "learning_rate": 2.116618220203742e-07, + "loss": 0.4617, + "step": 6772 + }, + { + "epoch": 0.91, + "learning_rate": 2.1103588003260124e-07, + "loss": 0.4866, + "step": 6773 + }, + { + "epoch": 0.91, + "learning_rate": 2.1041084500295793e-07, + "loss": 0.4521, + "step": 6774 + }, + { + "epoch": 0.91, + "learning_rate": 2.097867170498169e-07, + "loss": 0.5021, + "step": 6775 + }, + { + "epoch": 0.91, + "learning_rate": 2.09163496291378e-07, + "loss": 0.4546, + "step": 6776 + }, + { + "epoch": 0.91, + "learning_rate": 2.0854118284567128e-07, + "loss": 0.5051, + "step": 6777 + }, + { + "epoch": 0.91, + "learning_rate": 2.0791977683055242e-07, + "loss": 0.4529, + "step": 6778 + }, + { + "epoch": 0.91, + "learning_rate": 2.0729927836370677e-07, + "loss": 0.4688, + "step": 6779 + }, + { + "epoch": 0.91, + "learning_rate": 2.0667968756264756e-07, + "loss": 0.4657, + "step": 6780 + }, + { + "epoch": 0.91, + "learning_rate": 2.0606100454471534e-07, + "loss": 0.4933, + "step": 6781 + }, + { + "epoch": 0.91, + "learning_rate": 2.054432294270803e-07, + "loss": 0.4884, + "step": 6782 + }, + { + "epoch": 0.91, + "learning_rate": 2.0482636232673936e-07, + "loss": 0.4775, + "step": 6783 + }, + { + "epoch": 0.91, + "learning_rate": 2.0421040336051856e-07, + "loss": 0.4363, + "step": 6784 + }, + { + "epoch": 0.91, + "learning_rate": 2.035953526450707e-07, + "loss": 0.4648, + "step": 6785 + }, + { + "epoch": 0.91, + "learning_rate": 2.0298121029687645e-07, + "loss": 0.4541, + "step": 6786 + }, + { + "epoch": 0.91, + "learning_rate": 2.023679764322467e-07, + "loss": 0.4664, + "step": 6787 + }, + { + "epoch": 0.91, + "learning_rate": 2.0175565116731744e-07, + "loss": 0.4597, + "step": 6788 + }, + { + "epoch": 0.91, + "learning_rate": 2.0114423461805532e-07, + "loss": 0.4636, + "step": 6789 + }, + { + "epoch": 0.91, + "learning_rate": 2.0053372690025219e-07, + "loss": 0.443, + "step": 6790 + }, + { + "epoch": 0.91, + "learning_rate": 1.9992412812952944e-07, + "loss": 0.4872, + "step": 6791 + }, + { + "epoch": 0.91, + "learning_rate": 1.9931543842133693e-07, + "loss": 0.4832, + "step": 6792 + }, + { + "epoch": 0.91, + "learning_rate": 1.9870765789094915e-07, + "loss": 0.4189, + "step": 6793 + }, + { + "epoch": 0.91, + "learning_rate": 1.981007866534723e-07, + "loss": 0.4574, + "step": 6794 + }, + { + "epoch": 0.91, + "learning_rate": 1.9749482482383952e-07, + "loss": 0.451, + "step": 6795 + }, + { + "epoch": 0.91, + "learning_rate": 1.9688977251680895e-07, + "loss": 0.4492, + "step": 6796 + }, + { + "epoch": 0.91, + "learning_rate": 1.9628562984696952e-07, + "loss": 0.4429, + "step": 6797 + }, + { + "epoch": 0.91, + "learning_rate": 1.9568239692873692e-07, + "loss": 0.4741, + "step": 6798 + }, + { + "epoch": 0.91, + "learning_rate": 1.9508007387635363e-07, + "loss": 0.4527, + "step": 6799 + }, + { + "epoch": 0.91, + "learning_rate": 1.944786608038901e-07, + "loss": 0.4715, + "step": 6800 + }, + { + "epoch": 0.91, + "learning_rate": 1.93878157825248e-07, + "loss": 0.4485, + "step": 6801 + }, + { + "epoch": 0.91, + "learning_rate": 1.932785650541502e-07, + "loss": 0.4471, + "step": 6802 + }, + { + "epoch": 0.91, + "learning_rate": 1.926798826041526e-07, + "loss": 0.495, + "step": 6803 + }, + { + "epoch": 0.91, + "learning_rate": 1.9208211058863614e-07, + "loss": 0.4327, + "step": 6804 + }, + { + "epoch": 0.91, + "learning_rate": 1.914852491208097e-07, + "loss": 0.4584, + "step": 6805 + }, + { + "epoch": 0.91, + "learning_rate": 1.9088929831370895e-07, + "loss": 0.4768, + "step": 6806 + }, + { + "epoch": 0.91, + "learning_rate": 1.902942582802003e-07, + "loss": 0.4377, + "step": 6807 + }, + { + "epoch": 0.91, + "learning_rate": 1.897001291329742e-07, + "loss": 0.4731, + "step": 6808 + }, + { + "epoch": 0.91, + "learning_rate": 1.8910691098454948e-07, + "loss": 0.4426, + "step": 6809 + }, + { + "epoch": 0.91, + "learning_rate": 1.8851460394727406e-07, + "loss": 0.4412, + "step": 6810 + }, + { + "epoch": 0.92, + "learning_rate": 1.8792320813332044e-07, + "loss": 0.488, + "step": 6811 + }, + { + "epoch": 0.92, + "learning_rate": 1.8733272365469014e-07, + "loss": 0.4575, + "step": 6812 + }, + { + "epoch": 0.92, + "learning_rate": 1.8674315062321368e-07, + "loss": 0.4679, + "step": 6813 + }, + { + "epoch": 0.92, + "learning_rate": 1.8615448915054622e-07, + "loss": 0.4556, + "step": 6814 + }, + { + "epoch": 0.92, + "learning_rate": 1.8556673934817249e-07, + "loss": 0.4587, + "step": 6815 + }, + { + "epoch": 0.92, + "learning_rate": 1.8497990132740173e-07, + "loss": 0.4332, + "step": 6816 + }, + { + "epoch": 0.92, + "learning_rate": 1.8439397519937342e-07, + "loss": 0.4256, + "step": 6817 + }, + { + "epoch": 0.92, + "learning_rate": 1.8380896107505264e-07, + "loss": 0.4617, + "step": 6818 + }, + { + "epoch": 0.92, + "learning_rate": 1.8322485906523302e-07, + "loss": 0.4497, + "step": 6819 + }, + { + "epoch": 0.92, + "learning_rate": 1.826416692805344e-07, + "loss": 0.4733, + "step": 6820 + }, + { + "epoch": 0.92, + "learning_rate": 1.8205939183140508e-07, + "loss": 0.4399, + "step": 6821 + }, + { + "epoch": 0.92, + "learning_rate": 1.8147802682811798e-07, + "loss": 0.4563, + "step": 6822 + }, + { + "epoch": 0.92, + "learning_rate": 1.808975743807756e-07, + "loss": 0.4713, + "step": 6823 + }, + { + "epoch": 0.92, + "learning_rate": 1.8031803459930718e-07, + "loss": 0.4832, + "step": 6824 + }, + { + "epoch": 0.92, + "learning_rate": 1.797394075934694e-07, + "loss": 0.481, + "step": 6825 + }, + { + "epoch": 0.92, + "learning_rate": 1.7916169347284407e-07, + "loss": 0.4094, + "step": 6826 + }, + { + "epoch": 0.92, + "learning_rate": 1.7858489234684362e-07, + "loss": 0.4561, + "step": 6827 + }, + { + "epoch": 0.92, + "learning_rate": 1.7800900432470402e-07, + "loss": 0.467, + "step": 6828 + }, + { + "epoch": 0.92, + "learning_rate": 1.7743402951548972e-07, + "loss": 0.4675, + "step": 6829 + }, + { + "epoch": 0.92, + "learning_rate": 1.7685996802809357e-07, + "loss": 0.4633, + "step": 6830 + }, + { + "epoch": 0.92, + "learning_rate": 1.762868199712331e-07, + "loss": 0.4463, + "step": 6831 + }, + { + "epoch": 0.92, + "learning_rate": 1.757145854534542e-07, + "loss": 0.4792, + "step": 6832 + }, + { + "epoch": 0.92, + "learning_rate": 1.751432645831308e-07, + "loss": 0.4665, + "step": 6833 + }, + { + "epoch": 0.92, + "learning_rate": 1.7457285746846075e-07, + "loss": 0.4762, + "step": 6834 + }, + { + "epoch": 0.92, + "learning_rate": 1.74003364217471e-07, + "loss": 0.4714, + "step": 6835 + }, + { + "epoch": 0.92, + "learning_rate": 1.734347849380158e-07, + "loss": 0.4433, + "step": 6836 + }, + { + "epoch": 0.92, + "learning_rate": 1.7286711973777458e-07, + "loss": 0.4844, + "step": 6837 + }, + { + "epoch": 0.92, + "learning_rate": 1.7230036872425583e-07, + "loss": 0.4754, + "step": 6838 + }, + { + "epoch": 0.92, + "learning_rate": 1.7173453200479306e-07, + "loss": 0.4506, + "step": 6839 + }, + { + "epoch": 0.92, + "learning_rate": 1.7116960968654728e-07, + "loss": 0.4986, + "step": 6840 + }, + { + "epoch": 0.92, + "learning_rate": 1.7060560187650566e-07, + "loss": 0.4574, + "step": 6841 + }, + { + "epoch": 0.92, + "learning_rate": 1.7004250868148388e-07, + "loss": 0.4395, + "step": 6842 + }, + { + "epoch": 0.92, + "learning_rate": 1.6948033020812326e-07, + "loss": 0.4893, + "step": 6843 + }, + { + "epoch": 0.92, + "learning_rate": 1.6891906656289202e-07, + "loss": 0.4826, + "step": 6844 + }, + { + "epoch": 0.92, + "learning_rate": 1.6835871785208403e-07, + "loss": 0.4647, + "step": 6845 + }, + { + "epoch": 0.92, + "learning_rate": 1.6779928418182156e-07, + "loss": 0.4558, + "step": 6846 + }, + { + "epoch": 0.92, + "learning_rate": 1.672407656580538e-07, + "loss": 0.4734, + "step": 6847 + }, + { + "epoch": 0.92, + "learning_rate": 1.6668316238655446e-07, + "loss": 0.4595, + "step": 6848 + }, + { + "epoch": 0.92, + "learning_rate": 1.661264744729263e-07, + "loss": 0.4529, + "step": 6849 + }, + { + "epoch": 0.92, + "learning_rate": 1.6557070202259773e-07, + "loss": 0.4258, + "step": 6850 + }, + { + "epoch": 0.92, + "learning_rate": 1.6501584514082293e-07, + "loss": 0.499, + "step": 6851 + }, + { + "epoch": 0.92, + "learning_rate": 1.6446190393268336e-07, + "loss": 0.4608, + "step": 6852 + }, + { + "epoch": 0.92, + "learning_rate": 1.6390887850308847e-07, + "loss": 0.4671, + "step": 6853 + }, + { + "epoch": 0.92, + "learning_rate": 1.633567689567711e-07, + "loss": 0.4597, + "step": 6854 + }, + { + "epoch": 0.92, + "learning_rate": 1.6280557539829432e-07, + "loss": 0.4658, + "step": 6855 + }, + { + "epoch": 0.92, + "learning_rate": 1.6225529793204576e-07, + "loss": 0.4803, + "step": 6856 + }, + { + "epoch": 0.92, + "learning_rate": 1.6170593666223867e-07, + "loss": 0.4874, + "step": 6857 + }, + { + "epoch": 0.92, + "learning_rate": 1.6115749169291483e-07, + "loss": 0.4603, + "step": 6858 + }, + { + "epoch": 0.92, + "learning_rate": 1.6060996312794118e-07, + "loss": 0.4647, + "step": 6859 + }, + { + "epoch": 0.92, + "learning_rate": 1.6006335107101034e-07, + "loss": 0.4485, + "step": 6860 + }, + { + "epoch": 0.92, + "learning_rate": 1.5951765562564448e-07, + "loss": 0.4435, + "step": 6861 + }, + { + "epoch": 0.92, + "learning_rate": 1.5897287689518926e-07, + "loss": 0.4882, + "step": 6862 + }, + { + "epoch": 0.92, + "learning_rate": 1.584290149828166e-07, + "loss": 0.465, + "step": 6863 + }, + { + "epoch": 0.92, + "learning_rate": 1.5788606999152745e-07, + "loss": 0.4747, + "step": 6864 + }, + { + "epoch": 0.92, + "learning_rate": 1.5734404202414677e-07, + "loss": 0.479, + "step": 6865 + }, + { + "epoch": 0.92, + "learning_rate": 1.568029311833258e-07, + "loss": 0.4674, + "step": 6866 + }, + { + "epoch": 0.92, + "learning_rate": 1.562627375715442e-07, + "loss": 0.5077, + "step": 6867 + }, + { + "epoch": 0.92, + "learning_rate": 1.5572346129110572e-07, + "loss": 0.441, + "step": 6868 + }, + { + "epoch": 0.92, + "learning_rate": 1.5518510244414143e-07, + "loss": 0.4544, + "step": 6869 + }, + { + "epoch": 0.92, + "learning_rate": 1.5464766113260866e-07, + "loss": 0.4295, + "step": 6870 + }, + { + "epoch": 0.92, + "learning_rate": 1.5411113745828987e-07, + "loss": 0.4633, + "step": 6871 + }, + { + "epoch": 0.92, + "learning_rate": 1.5357553152279492e-07, + "loss": 0.4629, + "step": 6872 + }, + { + "epoch": 0.92, + "learning_rate": 1.53040843427561e-07, + "loss": 0.4515, + "step": 6873 + }, + { + "epoch": 0.92, + "learning_rate": 1.5250707327384816e-07, + "loss": 0.4817, + "step": 6874 + }, + { + "epoch": 0.92, + "learning_rate": 1.5197422116274562e-07, + "loss": 0.474, + "step": 6875 + }, + { + "epoch": 0.92, + "learning_rate": 1.5144228719516708e-07, + "loss": 0.4721, + "step": 6876 + }, + { + "epoch": 0.92, + "learning_rate": 1.5091127147185302e-07, + "loss": 0.4559, + "step": 6877 + }, + { + "epoch": 0.92, + "learning_rate": 1.503811740933697e-07, + "loss": 0.4639, + "step": 6878 + }, + { + "epoch": 0.92, + "learning_rate": 1.4985199516010963e-07, + "loss": 0.4712, + "step": 6879 + }, + { + "epoch": 0.92, + "learning_rate": 1.4932373477229146e-07, + "loss": 0.457, + "step": 6880 + }, + { + "epoch": 0.92, + "learning_rate": 1.487963930299602e-07, + "loss": 0.4788, + "step": 6881 + }, + { + "epoch": 0.92, + "learning_rate": 1.482699700329865e-07, + "loss": 0.4557, + "step": 6882 + }, + { + "epoch": 0.92, + "learning_rate": 1.4774446588106617e-07, + "loss": 0.4634, + "step": 6883 + }, + { + "epoch": 0.92, + "learning_rate": 1.472198806737224e-07, + "loss": 0.49, + "step": 6884 + }, + { + "epoch": 0.93, + "learning_rate": 1.4669621451030346e-07, + "loss": 0.443, + "step": 6885 + }, + { + "epoch": 0.93, + "learning_rate": 1.4617346748998396e-07, + "loss": 0.4133, + "step": 6886 + }, + { + "epoch": 0.93, + "learning_rate": 1.4565163971176467e-07, + "loss": 0.4493, + "step": 6887 + }, + { + "epoch": 0.93, + "learning_rate": 1.4513073127447264e-07, + "loss": 0.4518, + "step": 6888 + }, + { + "epoch": 0.93, + "learning_rate": 1.4461074227675842e-07, + "loss": 0.4695, + "step": 6889 + }, + { + "epoch": 0.93, + "learning_rate": 1.4409167281710102e-07, + "loss": 0.4705, + "step": 6890 + }, + { + "epoch": 0.93, + "learning_rate": 1.43573522993804e-07, + "loss": 0.4642, + "step": 6891 + }, + { + "epoch": 0.93, + "learning_rate": 1.4305629290499833e-07, + "loss": 0.4428, + "step": 6892 + }, + { + "epoch": 0.93, + "learning_rate": 1.42539982648639e-07, + "loss": 0.4674, + "step": 6893 + }, + { + "epoch": 0.93, + "learning_rate": 1.4202459232250722e-07, + "loss": 0.4704, + "step": 6894 + }, + { + "epoch": 0.93, + "learning_rate": 1.415101220242099e-07, + "loss": 0.486, + "step": 6895 + }, + { + "epoch": 0.93, + "learning_rate": 1.4099657185118077e-07, + "loss": 0.4743, + "step": 6896 + }, + { + "epoch": 0.93, + "learning_rate": 1.4048394190067816e-07, + "loss": 0.4707, + "step": 6897 + }, + { + "epoch": 0.93, + "learning_rate": 1.399722322697866e-07, + "loss": 0.4892, + "step": 6898 + }, + { + "epoch": 0.93, + "learning_rate": 1.3946144305541697e-07, + "loss": 0.4481, + "step": 6899 + }, + { + "epoch": 0.93, + "learning_rate": 1.389515743543035e-07, + "loss": 0.4303, + "step": 6900 + }, + { + "epoch": 0.93, + "learning_rate": 1.3844262626300898e-07, + "loss": 0.4624, + "step": 6901 + }, + { + "epoch": 0.93, + "learning_rate": 1.379345988779196e-07, + "loss": 0.4669, + "step": 6902 + }, + { + "epoch": 0.93, + "learning_rate": 1.37427492295249e-07, + "loss": 0.4759, + "step": 6903 + }, + { + "epoch": 0.93, + "learning_rate": 1.369213066110353e-07, + "loss": 0.4493, + "step": 6904 + }, + { + "epoch": 0.93, + "learning_rate": 1.3641604192114244e-07, + "loss": 0.4359, + "step": 6905 + }, + { + "epoch": 0.93, + "learning_rate": 1.3591169832125995e-07, + "loss": 0.5021, + "step": 6906 + }, + { + "epoch": 0.93, + "learning_rate": 1.354082759069031e-07, + "loss": 0.4909, + "step": 6907 + }, + { + "epoch": 0.93, + "learning_rate": 1.3490577477341226e-07, + "loss": 0.4682, + "step": 6908 + }, + { + "epoch": 0.93, + "learning_rate": 1.3440419501595358e-07, + "loss": 0.4672, + "step": 6909 + }, + { + "epoch": 0.93, + "learning_rate": 1.339035367295194e-07, + "loss": 0.4427, + "step": 6910 + }, + { + "epoch": 0.93, + "learning_rate": 1.334038000089266e-07, + "loss": 0.4588, + "step": 6911 + }, + { + "epoch": 0.93, + "learning_rate": 1.3290498494881789e-07, + "loss": 0.4361, + "step": 6912 + }, + { + "epoch": 0.93, + "learning_rate": 1.3240709164366038e-07, + "loss": 0.4591, + "step": 6913 + }, + { + "epoch": 0.93, + "learning_rate": 1.3191012018774928e-07, + "loss": 0.486, + "step": 6914 + }, + { + "epoch": 0.93, + "learning_rate": 1.3141407067520207e-07, + "loss": 0.4525, + "step": 6915 + }, + { + "epoch": 0.93, + "learning_rate": 1.309189431999641e-07, + "loss": 0.4788, + "step": 6916 + }, + { + "epoch": 0.93, + "learning_rate": 1.3042473785580546e-07, + "loss": 0.4489, + "step": 6917 + }, + { + "epoch": 0.93, + "learning_rate": 1.2993145473632008e-07, + "loss": 0.4489, + "step": 6918 + }, + { + "epoch": 0.93, + "learning_rate": 1.294390939349288e-07, + "loss": 0.4497, + "step": 6919 + }, + { + "epoch": 0.93, + "learning_rate": 1.289476555448771e-07, + "loss": 0.4439, + "step": 6920 + }, + { + "epoch": 0.93, + "learning_rate": 1.2845713965923656e-07, + "loss": 0.4534, + "step": 6921 + }, + { + "epoch": 0.93, + "learning_rate": 1.2796754637090402e-07, + "loss": 0.4379, + "step": 6922 + }, + { + "epoch": 0.93, + "learning_rate": 1.2747887577259976e-07, + "loss": 0.4697, + "step": 6923 + }, + { + "epoch": 0.93, + "learning_rate": 1.269911279568714e-07, + "loss": 0.4612, + "step": 6924 + }, + { + "epoch": 0.93, + "learning_rate": 1.265043030160923e-07, + "loss": 0.5029, + "step": 6925 + }, + { + "epoch": 0.93, + "learning_rate": 1.2601840104245756e-07, + "loss": 0.4884, + "step": 6926 + }, + { + "epoch": 0.93, + "learning_rate": 1.2553342212799024e-07, + "loss": 0.4761, + "step": 6927 + }, + { + "epoch": 0.93, + "learning_rate": 1.250493663645397e-07, + "loss": 0.4646, + "step": 6928 + }, + { + "epoch": 0.93, + "learning_rate": 1.2456623384377754e-07, + "loss": 0.4865, + "step": 6929 + }, + { + "epoch": 0.93, + "learning_rate": 1.2408402465720172e-07, + "loss": 0.4446, + "step": 6930 + }, + { + "epoch": 0.93, + "learning_rate": 1.2360273889613637e-07, + "loss": 0.461, + "step": 6931 + }, + { + "epoch": 0.93, + "learning_rate": 1.2312237665172922e-07, + "loss": 0.4852, + "step": 6932 + }, + { + "epoch": 0.93, + "learning_rate": 1.2264293801495297e-07, + "loss": 0.4775, + "step": 6933 + }, + { + "epoch": 0.93, + "learning_rate": 1.221644230766078e-07, + "loss": 0.4753, + "step": 6934 + }, + { + "epoch": 0.93, + "learning_rate": 1.2168683192731568e-07, + "loss": 0.5141, + "step": 6935 + }, + { + "epoch": 0.93, + "learning_rate": 1.212101646575259e-07, + "loss": 0.4425, + "step": 6936 + }, + { + "epoch": 0.93, + "learning_rate": 1.207344213575129e-07, + "loss": 0.4394, + "step": 6937 + }, + { + "epoch": 0.93, + "learning_rate": 1.2025960211737408e-07, + "loss": 0.4822, + "step": 6938 + }, + { + "epoch": 0.93, + "learning_rate": 1.1978570702703306e-07, + "loss": 0.4819, + "step": 6939 + }, + { + "epoch": 0.93, + "learning_rate": 1.1931273617623974e-07, + "loss": 0.4694, + "step": 6940 + }, + { + "epoch": 0.93, + "learning_rate": 1.188406896545663e-07, + "loss": 0.4821, + "step": 6941 + }, + { + "epoch": 0.93, + "learning_rate": 1.1836956755141239e-07, + "loss": 0.4356, + "step": 6942 + }, + { + "epoch": 0.93, + "learning_rate": 1.178993699560016e-07, + "loss": 0.4585, + "step": 6943 + }, + { + "epoch": 0.93, + "learning_rate": 1.1743009695738106e-07, + "loss": 0.4605, + "step": 6944 + }, + { + "epoch": 0.93, + "learning_rate": 1.1696174864442466e-07, + "loss": 0.4715, + "step": 6945 + }, + { + "epoch": 0.93, + "learning_rate": 1.1649432510583092e-07, + "loss": 0.494, + "step": 6946 + }, + { + "epoch": 0.93, + "learning_rate": 1.1602782643012234e-07, + "loss": 0.4753, + "step": 6947 + }, + { + "epoch": 0.93, + "learning_rate": 1.1556225270564769e-07, + "loss": 0.4769, + "step": 6948 + }, + { + "epoch": 0.93, + "learning_rate": 1.1509760402057812e-07, + "loss": 0.4334, + "step": 6949 + }, + { + "epoch": 0.93, + "learning_rate": 1.1463388046291268e-07, + "loss": 0.4791, + "step": 6950 + }, + { + "epoch": 0.93, + "learning_rate": 1.1417108212047223e-07, + "loss": 0.4326, + "step": 6951 + }, + { + "epoch": 0.93, + "learning_rate": 1.1370920908090555e-07, + "loss": 0.4763, + "step": 6952 + }, + { + "epoch": 0.93, + "learning_rate": 1.1324826143168321e-07, + "loss": 0.4645, + "step": 6953 + }, + { + "epoch": 0.93, + "learning_rate": 1.1278823926010263e-07, + "loss": 0.4552, + "step": 6954 + }, + { + "epoch": 0.93, + "learning_rate": 1.123291426532841e-07, + "loss": 0.4932, + "step": 6955 + }, + { + "epoch": 0.93, + "learning_rate": 1.1187097169817418e-07, + "loss": 0.4834, + "step": 6956 + }, + { + "epoch": 0.93, + "learning_rate": 1.1141372648154348e-07, + "loss": 0.4759, + "step": 6957 + }, + { + "epoch": 0.93, + "learning_rate": 1.109574070899877e-07, + "loss": 0.4394, + "step": 6958 + }, + { + "epoch": 0.93, + "learning_rate": 1.1050201360992718e-07, + "loss": 0.4662, + "step": 6959 + }, + { + "epoch": 0.94, + "learning_rate": 1.1004754612760627e-07, + "loss": 0.5053, + "step": 6960 + }, + { + "epoch": 0.94, + "learning_rate": 1.0959400472909332e-07, + "loss": 0.4782, + "step": 6961 + }, + { + "epoch": 0.94, + "learning_rate": 1.0914138950028408e-07, + "loss": 0.4939, + "step": 6962 + }, + { + "epoch": 0.94, + "learning_rate": 1.0868970052689553e-07, + "loss": 0.4232, + "step": 6963 + }, + { + "epoch": 0.94, + "learning_rate": 1.0823893789447148e-07, + "loss": 0.4524, + "step": 6964 + }, + { + "epoch": 0.94, + "learning_rate": 1.0778910168838031e-07, + "loss": 0.4753, + "step": 6965 + }, + { + "epoch": 0.94, + "learning_rate": 1.0734019199381329e-07, + "loss": 0.4292, + "step": 6966 + }, + { + "epoch": 0.94, + "learning_rate": 1.0689220889578744e-07, + "loss": 0.4651, + "step": 6967 + }, + { + "epoch": 0.94, + "learning_rate": 1.0644515247914378e-07, + "loss": 0.4636, + "step": 6968 + }, + { + "epoch": 0.94, + "learning_rate": 1.0599902282854902e-07, + "loss": 0.4521, + "step": 6969 + }, + { + "epoch": 0.94, + "learning_rate": 1.0555382002849223e-07, + "loss": 0.4501, + "step": 6970 + }, + { + "epoch": 0.94, + "learning_rate": 1.0510954416328989e-07, + "loss": 0.4439, + "step": 6971 + }, + { + "epoch": 0.94, + "learning_rate": 1.046661953170791e-07, + "loss": 0.4689, + "step": 6972 + }, + { + "epoch": 0.94, + "learning_rate": 1.0422377357382441e-07, + "loss": 0.4297, + "step": 6973 + }, + { + "epoch": 0.94, + "learning_rate": 1.0378227901731431e-07, + "loss": 0.4717, + "step": 6974 + }, + { + "epoch": 0.94, + "learning_rate": 1.0334171173116081e-07, + "loss": 0.4616, + "step": 6975 + }, + { + "epoch": 0.94, + "learning_rate": 1.0290207179880107e-07, + "loss": 0.438, + "step": 6976 + }, + { + "epoch": 0.94, + "learning_rate": 1.0246335930349627e-07, + "loss": 0.4326, + "step": 6977 + }, + { + "epoch": 0.94, + "learning_rate": 1.0202557432833105e-07, + "loss": 0.4692, + "step": 6978 + }, + { + "epoch": 0.94, + "learning_rate": 1.015887169562163e-07, + "loss": 0.4859, + "step": 6979 + }, + { + "epoch": 0.94, + "learning_rate": 1.0115278726988697e-07, + "loss": 0.455, + "step": 6980 + }, + { + "epoch": 0.94, + "learning_rate": 1.0071778535189925e-07, + "loss": 0.4806, + "step": 6981 + }, + { + "epoch": 0.94, + "learning_rate": 1.0028371128463833e-07, + "loss": 0.4695, + "step": 6982 + }, + { + "epoch": 0.94, + "learning_rate": 9.985056515031066e-08, + "loss": 0.4778, + "step": 6983 + }, + { + "epoch": 0.94, + "learning_rate": 9.941834703094677e-08, + "loss": 0.4608, + "step": 6984 + }, + { + "epoch": 0.94, + "learning_rate": 9.898705700840338e-08, + "loss": 0.4436, + "step": 6985 + }, + { + "epoch": 0.94, + "learning_rate": 9.855669516436017e-08, + "loss": 0.4757, + "step": 6986 + }, + { + "epoch": 0.94, + "learning_rate": 9.812726158032027e-08, + "loss": 0.4588, + "step": 6987 + }, + { + "epoch": 0.94, + "learning_rate": 9.76987563376136e-08, + "loss": 0.4779, + "step": 6988 + }, + { + "epoch": 0.94, + "learning_rate": 9.72711795173914e-08, + "loss": 0.4698, + "step": 6989 + }, + { + "epoch": 0.94, + "learning_rate": 9.684453120063054e-08, + "loss": 0.4557, + "step": 6990 + }, + { + "epoch": 0.94, + "learning_rate": 9.641881146813248e-08, + "loss": 0.4699, + "step": 6991 + }, + { + "epoch": 0.94, + "learning_rate": 9.599402040052163e-08, + "loss": 0.4843, + "step": 6992 + }, + { + "epoch": 0.94, + "learning_rate": 9.557015807824588e-08, + "loss": 0.4613, + "step": 6993 + }, + { + "epoch": 0.94, + "learning_rate": 9.514722458158099e-08, + "loss": 0.5001, + "step": 6994 + }, + { + "epoch": 0.94, + "learning_rate": 9.472521999062234e-08, + "loss": 0.473, + "step": 6995 + }, + { + "epoch": 0.94, + "learning_rate": 9.430414438529156e-08, + "loss": 0.446, + "step": 6996 + }, + { + "epoch": 0.94, + "learning_rate": 9.388399784533541e-08, + "loss": 0.4602, + "step": 6997 + }, + { + "epoch": 0.94, + "learning_rate": 9.346478045032137e-08, + "loss": 0.4752, + "step": 6998 + }, + { + "epoch": 0.94, + "learning_rate": 9.304649227964313e-08, + "loss": 0.4828, + "step": 6999 + }, + { + "epoch": 0.94, + "learning_rate": 9.262913341252011e-08, + "loss": 0.4775, + "step": 7000 + }, + { + "epoch": 0.94, + "learning_rate": 9.221270392799187e-08, + "loss": 0.4487, + "step": 7001 + }, + { + "epoch": 0.94, + "learning_rate": 9.17972039049253e-08, + "loss": 0.4301, + "step": 7002 + }, + { + "epoch": 0.94, + "learning_rate": 9.138263342200915e-08, + "loss": 0.4908, + "step": 7003 + }, + { + "epoch": 0.94, + "learning_rate": 9.096899255775671e-08, + "loss": 0.4701, + "step": 7004 + }, + { + "epoch": 0.94, + "learning_rate": 9.055628139050587e-08, + "loss": 0.4757, + "step": 7005 + }, + { + "epoch": 0.94, + "learning_rate": 9.014449999841745e-08, + "loss": 0.4514, + "step": 7006 + }, + { + "epoch": 0.94, + "learning_rate": 8.973364845947741e-08, + "loss": 0.4512, + "step": 7007 + }, + { + "epoch": 0.94, + "learning_rate": 8.932372685149404e-08, + "loss": 0.4164, + "step": 7008 + }, + { + "epoch": 0.94, + "learning_rate": 8.891473525210082e-08, + "loss": 0.4254, + "step": 7009 + }, + { + "epoch": 0.94, + "learning_rate": 8.850667373875465e-08, + "loss": 0.4831, + "step": 7010 + }, + { + "epoch": 0.94, + "learning_rate": 8.809954238873597e-08, + "loss": 0.4686, + "step": 7011 + }, + { + "epoch": 0.94, + "learning_rate": 8.769334127914975e-08, + "loss": 0.4433, + "step": 7012 + }, + { + "epoch": 0.94, + "learning_rate": 8.728807048692444e-08, + "loss": 0.453, + "step": 7013 + }, + { + "epoch": 0.94, + "learning_rate": 8.688373008881146e-08, + "loss": 0.4599, + "step": 7014 + }, + { + "epoch": 0.94, + "learning_rate": 8.64803201613884e-08, + "loss": 0.4672, + "step": 7015 + }, + { + "epoch": 0.94, + "learning_rate": 8.607784078105308e-08, + "loss": 0.49, + "step": 7016 + }, + { + "epoch": 0.94, + "learning_rate": 8.567629202403061e-08, + "loss": 0.4591, + "step": 7017 + }, + { + "epoch": 0.94, + "learning_rate": 8.527567396636738e-08, + "loss": 0.4603, + "step": 7018 + }, + { + "epoch": 0.94, + "learning_rate": 8.487598668393548e-08, + "loss": 0.4593, + "step": 7019 + }, + { + "epoch": 0.94, + "learning_rate": 8.447723025242882e-08, + "loss": 0.4675, + "step": 7020 + }, + { + "epoch": 0.94, + "learning_rate": 8.407940474736587e-08, + "loss": 0.4403, + "step": 7021 + }, + { + "epoch": 0.94, + "learning_rate": 8.368251024408969e-08, + "loss": 0.469, + "step": 7022 + }, + { + "epoch": 0.94, + "learning_rate": 8.328654681776516e-08, + "loss": 0.4815, + "step": 7023 + }, + { + "epoch": 0.94, + "learning_rate": 8.289151454338229e-08, + "loss": 0.4168, + "step": 7024 + }, + { + "epoch": 0.94, + "learning_rate": 8.249741349575401e-08, + "loss": 0.4438, + "step": 7025 + }, + { + "epoch": 0.94, + "learning_rate": 8.210424374951787e-08, + "loss": 0.4617, + "step": 7026 + }, + { + "epoch": 0.94, + "learning_rate": 8.171200537913371e-08, + "loss": 0.4425, + "step": 7027 + }, + { + "epoch": 0.94, + "learning_rate": 8.132069845888547e-08, + "loss": 0.4027, + "step": 7028 + }, + { + "epoch": 0.94, + "learning_rate": 8.093032306288107e-08, + "loss": 0.4517, + "step": 7029 + }, + { + "epoch": 0.94, + "learning_rate": 8.054087926505194e-08, + "loss": 0.4629, + "step": 7030 + }, + { + "epoch": 0.94, + "learning_rate": 8.015236713915298e-08, + "loss": 0.4632, + "step": 7031 + }, + { + "epoch": 0.94, + "learning_rate": 7.976478675876254e-08, + "loss": 0.4593, + "step": 7032 + }, + { + "epoch": 0.94, + "learning_rate": 7.937813819728191e-08, + "loss": 0.4555, + "step": 7033 + }, + { + "epoch": 0.95, + "learning_rate": 7.899242152793696e-08, + "loss": 0.4552, + "step": 7034 + }, + { + "epoch": 0.95, + "learning_rate": 7.860763682377704e-08, + "loss": 0.4502, + "step": 7035 + }, + { + "epoch": 0.95, + "learning_rate": 7.822378415767384e-08, + "loss": 0.4774, + "step": 7036 + }, + { + "epoch": 0.95, + "learning_rate": 7.784086360232424e-08, + "loss": 0.5157, + "step": 7037 + }, + { + "epoch": 0.95, + "learning_rate": 7.745887523024686e-08, + "loss": 0.4607, + "step": 7038 + }, + { + "epoch": 0.95, + "learning_rate": 7.707781911378498e-08, + "loss": 0.4378, + "step": 7039 + }, + { + "epoch": 0.95, + "learning_rate": 7.669769532510474e-08, + "loss": 0.4615, + "step": 7040 + }, + { + "epoch": 0.95, + "learning_rate": 7.631850393619577e-08, + "loss": 0.48, + "step": 7041 + }, + { + "epoch": 0.95, + "learning_rate": 7.594024501887177e-08, + "loss": 0.4386, + "step": 7042 + }, + { + "epoch": 0.95, + "learning_rate": 7.556291864476873e-08, + "loss": 0.4935, + "step": 7043 + }, + { + "epoch": 0.95, + "learning_rate": 7.518652488534784e-08, + "loss": 0.4552, + "step": 7044 + }, + { + "epoch": 0.95, + "learning_rate": 7.481106381189041e-08, + "loss": 0.4482, + "step": 7045 + }, + { + "epoch": 0.95, + "learning_rate": 7.443653549550512e-08, + "loss": 0.456, + "step": 7046 + }, + { + "epoch": 0.95, + "learning_rate": 7.406294000711967e-08, + "loss": 0.4421, + "step": 7047 + }, + { + "epoch": 0.95, + "learning_rate": 7.369027741749024e-08, + "loss": 0.4661, + "step": 7048 + }, + { + "epoch": 0.95, + "learning_rate": 7.331854779719205e-08, + "loss": 0.4514, + "step": 7049 + }, + { + "epoch": 0.95, + "learning_rate": 7.29477512166249e-08, + "loss": 0.4177, + "step": 7050 + }, + { + "epoch": 0.95, + "learning_rate": 7.25778877460126e-08, + "loss": 0.5033, + "step": 7051 + }, + { + "epoch": 0.95, + "learning_rate": 7.22089574554019e-08, + "loss": 0.4622, + "step": 7052 + }, + { + "epoch": 0.95, + "learning_rate": 7.184096041466194e-08, + "loss": 0.4632, + "step": 7053 + }, + { + "epoch": 0.95, + "learning_rate": 7.147389669348692e-08, + "loss": 0.4679, + "step": 7054 + }, + { + "epoch": 0.95, + "learning_rate": 7.110776636139238e-08, + "loss": 0.5032, + "step": 7055 + }, + { + "epoch": 0.95, + "learning_rate": 7.07425694877184e-08, + "loss": 0.4786, + "step": 7056 + }, + { + "epoch": 0.95, + "learning_rate": 7.037830614162744e-08, + "loss": 0.4597, + "step": 7057 + }, + { + "epoch": 0.95, + "learning_rate": 7.001497639210596e-08, + "loss": 0.4858, + "step": 7058 + }, + { + "epoch": 0.95, + "learning_rate": 6.965258030796284e-08, + "loss": 0.4446, + "step": 7059 + }, + { + "epoch": 0.95, + "learning_rate": 6.929111795782983e-08, + "loss": 0.4712, + "step": 7060 + }, + { + "epoch": 0.95, + "learning_rate": 6.893058941016439e-08, + "loss": 0.4701, + "step": 7061 + }, + { + "epoch": 0.95, + "learning_rate": 6.857099473324302e-08, + "loss": 0.461, + "step": 7062 + }, + { + "epoch": 0.95, + "learning_rate": 6.821233399516902e-08, + "loss": 0.4804, + "step": 7063 + }, + { + "epoch": 0.95, + "learning_rate": 6.785460726386695e-08, + "loss": 0.4345, + "step": 7064 + }, + { + "epoch": 0.95, + "learning_rate": 6.749781460708482e-08, + "loss": 0.4434, + "step": 7065 + }, + { + "epoch": 0.95, + "learning_rate": 6.71419560923936e-08, + "loss": 0.4938, + "step": 7066 + }, + { + "epoch": 0.95, + "learning_rate": 6.678703178718882e-08, + "loss": 0.4587, + "step": 7067 + }, + { + "epoch": 0.95, + "learning_rate": 6.643304175868614e-08, + "loss": 0.4658, + "step": 7068 + }, + { + "epoch": 0.95, + "learning_rate": 6.607998607392641e-08, + "loss": 0.4885, + "step": 7069 + }, + { + "epoch": 0.95, + "learning_rate": 6.572786479977388e-08, + "loss": 0.4305, + "step": 7070 + }, + { + "epoch": 0.95, + "learning_rate": 6.53766780029147e-08, + "loss": 0.4494, + "step": 7071 + }, + { + "epoch": 0.95, + "learning_rate": 6.502642574985784e-08, + "loss": 0.4642, + "step": 7072 + }, + { + "epoch": 0.95, + "learning_rate": 6.467710810693639e-08, + "loss": 0.4695, + "step": 7073 + }, + { + "epoch": 0.95, + "learning_rate": 6.43287251403052e-08, + "loss": 0.4667, + "step": 7074 + }, + { + "epoch": 0.95, + "learning_rate": 6.398127691594424e-08, + "loss": 0.4702, + "step": 7075 + }, + { + "epoch": 0.95, + "learning_rate": 6.36347634996537e-08, + "loss": 0.4714, + "step": 7076 + }, + { + "epoch": 0.95, + "learning_rate": 6.328918495705826e-08, + "loss": 0.4249, + "step": 7077 + }, + { + "epoch": 0.95, + "learning_rate": 6.294454135360562e-08, + "loss": 0.4539, + "step": 7078 + }, + { + "epoch": 0.95, + "learning_rate": 6.260083275456574e-08, + "loss": 0.463, + "step": 7079 + }, + { + "epoch": 0.95, + "learning_rate": 6.225805922503215e-08, + "loss": 0.4766, + "step": 7080 + }, + { + "epoch": 0.95, + "learning_rate": 6.191622082992177e-08, + "loss": 0.4593, + "step": 7081 + }, + { + "epoch": 0.95, + "learning_rate": 6.157531763397228e-08, + "loss": 0.4547, + "step": 7082 + }, + { + "epoch": 0.95, + "learning_rate": 6.123534970174594e-08, + "loss": 0.4692, + "step": 7083 + }, + { + "epoch": 0.95, + "learning_rate": 6.089631709762844e-08, + "loss": 0.4736, + "step": 7084 + }, + { + "epoch": 0.95, + "learning_rate": 6.055821988582677e-08, + "loss": 0.4583, + "step": 7085 + }, + { + "epoch": 0.95, + "learning_rate": 6.022105813037193e-08, + "loss": 0.4472, + "step": 7086 + }, + { + "epoch": 0.95, + "learning_rate": 5.988483189511674e-08, + "loss": 0.4862, + "step": 7087 + }, + { + "epoch": 0.95, + "learning_rate": 5.9549541243738015e-08, + "loss": 0.457, + "step": 7088 + }, + { + "epoch": 0.95, + "learning_rate": 5.9215186239734436e-08, + "loss": 0.4674, + "step": 7089 + }, + { + "epoch": 0.95, + "learning_rate": 5.8881766946427554e-08, + "loss": 0.4351, + "step": 7090 + }, + { + "epoch": 0.95, + "learning_rate": 5.854928342696242e-08, + "loss": 0.4644, + "step": 7091 + }, + { + "epoch": 0.95, + "learning_rate": 5.821773574430645e-08, + "loss": 0.4347, + "step": 7092 + }, + { + "epoch": 0.95, + "learning_rate": 5.788712396125051e-08, + "loss": 0.4393, + "step": 7093 + }, + { + "epoch": 0.95, + "learning_rate": 5.7557448140405645e-08, + "loss": 0.4592, + "step": 7094 + }, + { + "epoch": 0.95, + "learning_rate": 5.7228708344209125e-08, + "loss": 0.4792, + "step": 7095 + }, + { + "epoch": 0.95, + "learning_rate": 5.690090463491838e-08, + "loss": 0.4585, + "step": 7096 + }, + { + "epoch": 0.95, + "learning_rate": 5.657403707461539e-08, + "loss": 0.4438, + "step": 7097 + }, + { + "epoch": 0.95, + "learning_rate": 5.6248105725204005e-08, + "loss": 0.4807, + "step": 7098 + }, + { + "epoch": 0.95, + "learning_rate": 5.592311064840927e-08, + "loss": 0.4873, + "step": 7099 + }, + { + "epoch": 0.95, + "learning_rate": 5.559905190578196e-08, + "loss": 0.4298, + "step": 7100 + }, + { + "epoch": 0.95, + "learning_rate": 5.527592955869354e-08, + "loss": 0.4782, + "step": 7101 + }, + { + "epoch": 0.95, + "learning_rate": 5.495374366833839e-08, + "loss": 0.4615, + "step": 7102 + }, + { + "epoch": 0.95, + "learning_rate": 5.463249429573325e-08, + "loss": 0.4548, + "step": 7103 + }, + { + "epoch": 0.95, + "learning_rate": 5.431218150171891e-08, + "loss": 0.4867, + "step": 7104 + }, + { + "epoch": 0.95, + "learning_rate": 5.399280534695739e-08, + "loss": 0.488, + "step": 7105 + }, + { + "epoch": 0.95, + "learning_rate": 5.367436589193364e-08, + "loss": 0.4749, + "step": 7106 + }, + { + "epoch": 0.95, + "learning_rate": 5.335686319695499e-08, + "loss": 0.469, + "step": 7107 + }, + { + "epoch": 0.95, + "learning_rate": 5.3040297322152215e-08, + "loss": 0.485, + "step": 7108 + }, + { + "epoch": 0.96, + "learning_rate": 5.2724668327478466e-08, + "loss": 0.4608, + "step": 7109 + }, + { + "epoch": 0.96, + "learning_rate": 5.240997627270872e-08, + "loss": 0.4574, + "step": 7110 + }, + { + "epoch": 0.96, + "learning_rate": 5.209622121744029e-08, + "loss": 0.4233, + "step": 7111 + }, + { + "epoch": 0.96, + "learning_rate": 5.178340322109454e-08, + "loss": 0.4641, + "step": 7112 + }, + { + "epoch": 0.96, + "learning_rate": 5.147152234291519e-08, + "loss": 0.4452, + "step": 7113 + }, + { + "epoch": 0.96, + "learning_rate": 5.116057864196555e-08, + "loss": 0.4736, + "step": 7114 + }, + { + "epoch": 0.96, + "learning_rate": 5.085057217713574e-08, + "loss": 0.4603, + "step": 7115 + }, + { + "epoch": 0.96, + "learning_rate": 5.054150300713601e-08, + "loss": 0.4672, + "step": 7116 + }, + { + "epoch": 0.96, + "learning_rate": 5.0233371190498424e-08, + "loss": 0.4108, + "step": 7117 + }, + { + "epoch": 0.96, + "learning_rate": 4.992617678557965e-08, + "loss": 0.469, + "step": 7118 + }, + { + "epoch": 0.96, + "learning_rate": 4.9619919850557585e-08, + "loss": 0.4949, + "step": 7119 + }, + { + "epoch": 0.96, + "learning_rate": 4.9314600443431945e-08, + "loss": 0.4701, + "step": 7120 + }, + { + "epoch": 0.96, + "learning_rate": 4.901021862202593e-08, + "loss": 0.4821, + "step": 7121 + }, + { + "epoch": 0.96, + "learning_rate": 4.8706774443985635e-08, + "loss": 0.4729, + "step": 7122 + }, + { + "epoch": 0.96, + "learning_rate": 4.8404267966777886e-08, + "loss": 0.4597, + "step": 7123 + }, + { + "epoch": 0.96, + "learning_rate": 4.8102699247694064e-08, + "loss": 0.4744, + "step": 7124 + }, + { + "epoch": 0.96, + "learning_rate": 4.780206834384515e-08, + "loss": 0.4476, + "step": 7125 + }, + { + "epoch": 0.96, + "learning_rate": 4.7502375312167284e-08, + "loss": 0.4716, + "step": 7126 + }, + { + "epoch": 0.96, + "learning_rate": 4.720362020941782e-08, + "loss": 0.4332, + "step": 7127 + }, + { + "epoch": 0.96, + "learning_rate": 4.6905803092175406e-08, + "loss": 0.4834, + "step": 7128 + }, + { + "epoch": 0.96, + "learning_rate": 4.6608924016843806e-08, + "loss": 0.4882, + "step": 7129 + }, + { + "epoch": 0.96, + "learning_rate": 4.6312983039646373e-08, + "loss": 0.4487, + "step": 7130 + }, + { + "epoch": 0.96, + "learning_rate": 4.601798021663051e-08, + "loss": 0.4708, + "step": 7131 + }, + { + "epoch": 0.96, + "learning_rate": 4.572391560366429e-08, + "loss": 0.4902, + "step": 7132 + }, + { + "epoch": 0.96, + "learning_rate": 4.5430789256440397e-08, + "loss": 0.4706, + "step": 7133 + }, + { + "epoch": 0.96, + "learning_rate": 4.513860123047164e-08, + "loss": 0.4717, + "step": 7134 + }, + { + "epoch": 0.96, + "learning_rate": 4.484735158109488e-08, + "loss": 0.4369, + "step": 7135 + }, + { + "epoch": 0.96, + "learning_rate": 4.455704036346764e-08, + "loss": 0.4981, + "step": 7136 + }, + { + "epoch": 0.96, + "learning_rate": 4.4267667632570954e-08, + "loss": 0.4651, + "step": 7137 + }, + { + "epoch": 0.96, + "learning_rate": 4.39792334432082e-08, + "loss": 0.4471, + "step": 7138 + }, + { + "epoch": 0.96, + "learning_rate": 4.3691737850002913e-08, + "loss": 0.4104, + "step": 7139 + }, + { + "epoch": 0.96, + "learning_rate": 4.340518090740431e-08, + "loss": 0.4613, + "step": 7140 + }, + { + "epoch": 0.96, + "learning_rate": 4.311956266968065e-08, + "loss": 0.4236, + "step": 7141 + }, + { + "epoch": 0.96, + "learning_rate": 4.283488319092477e-08, + "loss": 0.4594, + "step": 7142 + }, + { + "epoch": 0.96, + "learning_rate": 4.255114252504966e-08, + "loss": 0.4712, + "step": 7143 + }, + { + "epoch": 0.96, + "learning_rate": 4.226834072579233e-08, + "loss": 0.4424, + "step": 7144 + }, + { + "epoch": 0.96, + "learning_rate": 4.1986477846710505e-08, + "loss": 0.4431, + "step": 7145 + }, + { + "epoch": 0.96, + "learning_rate": 4.1705553941185916e-08, + "loss": 0.4564, + "step": 7146 + }, + { + "epoch": 0.96, + "learning_rate": 4.1425569062419904e-08, + "loss": 0.4669, + "step": 7147 + }, + { + "epoch": 0.96, + "learning_rate": 4.1146523263438934e-08, + "loss": 0.4746, + "step": 7148 + }, + { + "epoch": 0.96, + "learning_rate": 4.086841659708907e-08, + "loss": 0.4644, + "step": 7149 + }, + { + "epoch": 0.96, + "learning_rate": 4.059124911603984e-08, + "loss": 0.4746, + "step": 7150 + }, + { + "epoch": 0.96, + "learning_rate": 4.0315020872782604e-08, + "loss": 0.4623, + "step": 7151 + }, + { + "epoch": 0.96, + "learning_rate": 4.003973191963051e-08, + "loss": 0.4548, + "step": 7152 + }, + { + "epoch": 0.96, + "learning_rate": 3.976538230872018e-08, + "loss": 0.4637, + "step": 7153 + }, + { + "epoch": 0.96, + "learning_rate": 3.949197209200839e-08, + "loss": 0.4457, + "step": 7154 + }, + { + "epoch": 0.96, + "learning_rate": 3.921950132127483e-08, + "loss": 0.4732, + "step": 7155 + }, + { + "epoch": 0.96, + "learning_rate": 3.894797004812212e-08, + "loss": 0.4847, + "step": 7156 + }, + { + "epoch": 0.96, + "learning_rate": 3.867737832397411e-08, + "loss": 0.4377, + "step": 7157 + }, + { + "epoch": 0.96, + "learning_rate": 3.840772620007593e-08, + "loss": 0.4649, + "step": 7158 + }, + { + "epoch": 0.96, + "learning_rate": 3.8139013727497284e-08, + "loss": 0.4419, + "step": 7159 + }, + { + "epoch": 0.96, + "learning_rate": 3.787124095712635e-08, + "loss": 0.4395, + "step": 7160 + }, + { + "epoch": 0.96, + "learning_rate": 3.7604407939677015e-08, + "loss": 0.4727, + "step": 7161 + }, + { + "epoch": 0.96, + "learning_rate": 3.7338514725682175e-08, + "loss": 0.4483, + "step": 7162 + }, + { + "epoch": 0.96, + "learning_rate": 3.707356136549878e-08, + "loss": 0.4536, + "step": 7163 + }, + { + "epoch": 0.96, + "learning_rate": 3.680954790930447e-08, + "loss": 0.4816, + "step": 7164 + }, + { + "epoch": 0.96, + "learning_rate": 3.6546474407100354e-08, + "loss": 0.4511, + "step": 7165 + }, + { + "epoch": 0.96, + "learning_rate": 3.628434090870769e-08, + "loss": 0.4789, + "step": 7166 + }, + { + "epoch": 0.96, + "learning_rate": 3.602314746377067e-08, + "loss": 0.4851, + "step": 7167 + }, + { + "epoch": 0.96, + "learning_rate": 3.576289412175582e-08, + "loss": 0.4709, + "step": 7168 + }, + { + "epoch": 0.96, + "learning_rate": 3.55035809319515e-08, + "loss": 0.4545, + "step": 7169 + }, + { + "epoch": 0.96, + "learning_rate": 3.524520794346731e-08, + "loss": 0.456, + "step": 7170 + }, + { + "epoch": 0.96, + "learning_rate": 3.4987775205235216e-08, + "loss": 0.4736, + "step": 7171 + }, + { + "epoch": 0.96, + "learning_rate": 3.4731282766009566e-08, + "loss": 0.4438, + "step": 7172 + }, + { + "epoch": 0.96, + "learning_rate": 3.4475730674365384e-08, + "loss": 0.4389, + "step": 7173 + }, + { + "epoch": 0.96, + "learning_rate": 3.422111897870117e-08, + "loss": 0.465, + "step": 7174 + }, + { + "epoch": 0.96, + "learning_rate": 3.396744772723615e-08, + "loss": 0.4891, + "step": 7175 + }, + { + "epoch": 0.96, + "learning_rate": 3.3714716968011874e-08, + "loss": 0.4615, + "step": 7176 + }, + { + "epoch": 0.96, + "learning_rate": 3.3462926748891736e-08, + "loss": 0.4745, + "step": 7177 + }, + { + "epoch": 0.96, + "learning_rate": 3.321207711756147e-08, + "loss": 0.4792, + "step": 7178 + }, + { + "epoch": 0.96, + "learning_rate": 3.296216812152808e-08, + "loss": 0.4655, + "step": 7179 + }, + { + "epoch": 0.96, + "learning_rate": 3.271319980811982e-08, + "loss": 0.4147, + "step": 7180 + }, + { + "epoch": 0.96, + "learning_rate": 3.2465172224488416e-08, + "loss": 0.4457, + "step": 7181 + }, + { + "epoch": 0.96, + "learning_rate": 3.2218085417606846e-08, + "loss": 0.4471, + "step": 7182 + }, + { + "epoch": 0.97, + "learning_rate": 3.1971939434268796e-08, + "loss": 0.469, + "step": 7183 + }, + { + "epoch": 0.97, + "learning_rate": 3.172673432109086e-08, + "loss": 0.4685, + "step": 7184 + }, + { + "epoch": 0.97, + "learning_rate": 3.1482470124512e-08, + "loss": 0.4627, + "step": 7185 + }, + { + "epoch": 0.97, + "learning_rate": 3.1239146890790775e-08, + "loss": 0.483, + "step": 7186 + }, + { + "epoch": 0.97, + "learning_rate": 3.099676466600976e-08, + "loss": 0.4753, + "step": 7187 + }, + { + "epoch": 0.97, + "learning_rate": 3.0755323496073356e-08, + "loss": 0.4375, + "step": 7188 + }, + { + "epoch": 0.97, + "learning_rate": 3.051482342670553e-08, + "loss": 0.4712, + "step": 7189 + }, + { + "epoch": 0.97, + "learning_rate": 3.027526450345375e-08, + "loss": 0.4653, + "step": 7190 + }, + { + "epoch": 0.97, + "learning_rate": 3.0036646771687275e-08, + "loss": 0.4635, + "step": 7191 + }, + { + "epoch": 0.97, + "learning_rate": 2.979897027659662e-08, + "loss": 0.4623, + "step": 7192 + }, + { + "epoch": 0.97, + "learning_rate": 2.9562235063193557e-08, + "loss": 0.4632, + "step": 7193 + }, + { + "epoch": 0.97, + "learning_rate": 2.9326441176312782e-08, + "loss": 0.4861, + "step": 7194 + }, + { + "epoch": 0.97, + "learning_rate": 2.9091588660610238e-08, + "loss": 0.4701, + "step": 7195 + }, + { + "epoch": 0.97, + "learning_rate": 2.885767756056368e-08, + "loss": 0.4546, + "step": 7196 + }, + { + "epoch": 0.97, + "learning_rate": 2.8624707920471563e-08, + "loss": 0.4419, + "step": 7197 + }, + { + "epoch": 0.97, + "learning_rate": 2.8392679784455257e-08, + "loss": 0.4778, + "step": 7198 + }, + { + "epoch": 0.97, + "learning_rate": 2.8161593196457394e-08, + "loss": 0.4331, + "step": 7199 + }, + { + "epoch": 0.97, + "learning_rate": 2.7931448200242405e-08, + "loss": 0.4857, + "step": 7200 + }, + { + "epoch": 0.97, + "learning_rate": 2.7702244839395986e-08, + "loss": 0.4839, + "step": 7201 + }, + { + "epoch": 0.97, + "learning_rate": 2.747398315732619e-08, + "loss": 0.4633, + "step": 7202 + }, + { + "epoch": 0.97, + "learning_rate": 2.7246663197262324e-08, + "loss": 0.4443, + "step": 7203 + }, + { + "epoch": 0.97, + "learning_rate": 2.7020285002255508e-08, + "loss": 0.4795, + "step": 7204 + }, + { + "epoch": 0.97, + "learning_rate": 2.6794848615178116e-08, + "loss": 0.466, + "step": 7205 + }, + { + "epoch": 0.97, + "learning_rate": 2.6570354078724327e-08, + "loss": 0.4653, + "step": 7206 + }, + { + "epoch": 0.97, + "learning_rate": 2.634680143541013e-08, + "loss": 0.4719, + "step": 7207 + }, + { + "epoch": 0.97, + "learning_rate": 2.6124190727573327e-08, + "loss": 0.46, + "step": 7208 + }, + { + "epoch": 0.97, + "learning_rate": 2.5902521997372977e-08, + "loss": 0.4663, + "step": 7209 + }, + { + "epoch": 0.97, + "learning_rate": 2.568179528678938e-08, + "loss": 0.4471, + "step": 7210 + }, + { + "epoch": 0.97, + "learning_rate": 2.5462010637625213e-08, + "loss": 0.4573, + "step": 7211 + }, + { + "epoch": 0.97, + "learning_rate": 2.52431680915044e-08, + "loss": 0.4271, + "step": 7212 + }, + { + "epoch": 0.97, + "learning_rate": 2.5025267689872677e-08, + "loss": 0.4743, + "step": 7213 + }, + { + "epoch": 0.97, + "learning_rate": 2.480830947399704e-08, + "loss": 0.4664, + "step": 7214 + }, + { + "epoch": 0.97, + "learning_rate": 2.4592293484965167e-08, + "loss": 0.4417, + "step": 7215 + }, + { + "epoch": 0.97, + "learning_rate": 2.4377219763688787e-08, + "loss": 0.4615, + "step": 7216 + }, + { + "epoch": 0.97, + "learning_rate": 2.4163088350898646e-08, + "loss": 0.4402, + "step": 7217 + }, + { + "epoch": 0.97, + "learning_rate": 2.394989928714786e-08, + "loss": 0.445, + "step": 7218 + }, + { + "epoch": 0.97, + "learning_rate": 2.373765261281191e-08, + "loss": 0.4676, + "step": 7219 + }, + { + "epoch": 0.97, + "learning_rate": 2.3526348368087538e-08, + "loss": 0.4691, + "step": 7220 + }, + { + "epoch": 0.97, + "learning_rate": 2.3315986592991614e-08, + "loss": 0.4562, + "step": 7221 + }, + { + "epoch": 0.97, + "learning_rate": 2.3106567327363382e-08, + "loss": 0.4789, + "step": 7222 + }, + { + "epoch": 0.97, + "learning_rate": 2.2898090610864455e-08, + "loss": 0.4412, + "step": 7223 + }, + { + "epoch": 0.97, + "learning_rate": 2.2690556482977133e-08, + "loss": 0.433, + "step": 7224 + }, + { + "epoch": 0.97, + "learning_rate": 2.248396498300498e-08, + "loss": 0.4857, + "step": 7225 + }, + { + "epoch": 0.97, + "learning_rate": 2.2278316150073364e-08, + "loss": 0.4582, + "step": 7226 + }, + { + "epoch": 0.97, + "learning_rate": 2.2073610023129467e-08, + "loss": 0.4509, + "step": 7227 + }, + { + "epoch": 0.97, + "learning_rate": 2.1869846640941163e-08, + "loss": 0.4686, + "step": 7228 + }, + { + "epoch": 0.97, + "learning_rate": 2.166702604209814e-08, + "loss": 0.4888, + "step": 7229 + }, + { + "epoch": 0.97, + "learning_rate": 2.146514826501134e-08, + "loss": 0.4531, + "step": 7230 + }, + { + "epoch": 0.97, + "learning_rate": 2.126421334791462e-08, + "loss": 0.4585, + "step": 7231 + }, + { + "epoch": 0.97, + "learning_rate": 2.106422132886088e-08, + "loss": 0.4605, + "step": 7232 + }, + { + "epoch": 0.97, + "learning_rate": 2.0865172245725373e-08, + "loss": 0.4944, + "step": 7233 + }, + { + "epoch": 0.97, + "learning_rate": 2.0667066136206283e-08, + "loss": 0.4673, + "step": 7234 + }, + { + "epoch": 0.97, + "learning_rate": 2.046990303782137e-08, + "loss": 0.4563, + "step": 7235 + }, + { + "epoch": 0.97, + "learning_rate": 2.027368298790966e-08, + "loss": 0.4405, + "step": 7236 + }, + { + "epoch": 0.97, + "learning_rate": 2.007840602363309e-08, + "loss": 0.4587, + "step": 7237 + }, + { + "epoch": 0.97, + "learning_rate": 1.98840721819743e-08, + "loss": 0.4514, + "step": 7238 + }, + { + "epoch": 0.97, + "learning_rate": 1.969068149973663e-08, + "loss": 0.47, + "step": 7239 + }, + { + "epoch": 0.97, + "learning_rate": 1.949823401354578e-08, + "loss": 0.4664, + "step": 7240 + }, + { + "epoch": 0.97, + "learning_rate": 1.9306729759848152e-08, + "loss": 0.4398, + "step": 7241 + }, + { + "epoch": 0.97, + "learning_rate": 1.9116168774911958e-08, + "loss": 0.4786, + "step": 7242 + }, + { + "epoch": 0.97, + "learning_rate": 1.8926551094826662e-08, + "loss": 0.4654, + "step": 7243 + }, + { + "epoch": 0.97, + "learning_rate": 1.8737876755502983e-08, + "loss": 0.4423, + "step": 7244 + }, + { + "epoch": 0.97, + "learning_rate": 1.855014579267289e-08, + "loss": 0.47, + "step": 7245 + }, + { + "epoch": 0.97, + "learning_rate": 1.8363358241890172e-08, + "loss": 0.4909, + "step": 7246 + }, + { + "epoch": 0.97, + "learning_rate": 1.817751413852875e-08, + "loss": 0.4659, + "step": 7247 + }, + { + "epoch": 0.97, + "learning_rate": 1.7992613517785474e-08, + "loss": 0.4707, + "step": 7248 + }, + { + "epoch": 0.97, + "learning_rate": 1.7808656414677884e-08, + "loss": 0.466, + "step": 7249 + }, + { + "epoch": 0.97, + "learning_rate": 1.7625642864044224e-08, + "loss": 0.469, + "step": 7250 + }, + { + "epoch": 0.97, + "learning_rate": 1.7443572900544548e-08, + "loss": 0.4788, + "step": 7251 + }, + { + "epoch": 0.97, + "learning_rate": 1.7262446558660163e-08, + "loss": 0.4656, + "step": 7252 + }, + { + "epoch": 0.97, + "learning_rate": 1.7082263872693627e-08, + "loss": 0.4795, + "step": 7253 + }, + { + "epoch": 0.97, + "learning_rate": 1.690302487676987e-08, + "loss": 0.4473, + "step": 7254 + }, + { + "epoch": 0.97, + "learning_rate": 1.6724729604832845e-08, + "loss": 0.4233, + "step": 7255 + }, + { + "epoch": 0.97, + "learning_rate": 1.654737809064888e-08, + "loss": 0.4783, + "step": 7256 + }, + { + "epoch": 0.98, + "learning_rate": 1.6370970367807214e-08, + "loss": 0.4651, + "step": 7257 + }, + { + "epoch": 0.98, + "learning_rate": 1.6195506469715017e-08, + "loss": 0.457, + "step": 7258 + }, + { + "epoch": 0.98, + "learning_rate": 1.602098642960348e-08, + "loss": 0.4777, + "step": 7259 + }, + { + "epoch": 0.98, + "learning_rate": 1.58474102805245e-08, + "loss": 0.4415, + "step": 7260 + }, + { + "epoch": 0.98, + "learning_rate": 1.5674778055350114e-08, + "loss": 0.4578, + "step": 7261 + }, + { + "epoch": 0.98, + "learning_rate": 1.550308978677417e-08, + "loss": 0.453, + "step": 7262 + }, + { + "epoch": 0.98, + "learning_rate": 1.533234550731233e-08, + "loss": 0.4623, + "step": 7263 + }, + { + "epoch": 0.98, + "learning_rate": 1.5162545249300387e-08, + "loss": 0.4348, + "step": 7264 + }, + { + "epoch": 0.98, + "learning_rate": 1.499368904489651e-08, + "loss": 0.4649, + "step": 7265 + }, + { + "epoch": 0.98, + "learning_rate": 1.482577692607956e-08, + "loss": 0.4952, + "step": 7266 + }, + { + "epoch": 0.98, + "learning_rate": 1.4658808924649659e-08, + "loss": 0.4767, + "step": 7267 + }, + { + "epoch": 0.98, + "learning_rate": 1.4492785072227621e-08, + "loss": 0.4901, + "step": 7268 + }, + { + "epoch": 0.98, + "learning_rate": 1.4327705400256075e-08, + "loss": 0.4676, + "step": 7269 + }, + { + "epoch": 0.98, + "learning_rate": 1.4163569939998346e-08, + "loss": 0.448, + "step": 7270 + }, + { + "epoch": 0.98, + "learning_rate": 1.400037872254012e-08, + "loss": 0.4429, + "step": 7271 + }, + { + "epoch": 0.98, + "learning_rate": 1.3838131778786123e-08, + "loss": 0.4141, + "step": 7272 + }, + { + "epoch": 0.98, + "learning_rate": 1.3676829139464553e-08, + "loss": 0.455, + "step": 7273 + }, + { + "epoch": 0.98, + "learning_rate": 1.3516470835123197e-08, + "loss": 0.4715, + "step": 7274 + }, + { + "epoch": 0.98, + "learning_rate": 1.3357056896131649e-08, + "loss": 0.4891, + "step": 7275 + }, + { + "epoch": 0.98, + "learning_rate": 1.3198587352680204e-08, + "loss": 0.4579, + "step": 7276 + }, + { + "epoch": 0.98, + "learning_rate": 1.3041062234781521e-08, + "loss": 0.4611, + "step": 7277 + }, + { + "epoch": 0.98, + "learning_rate": 1.2884481572267294e-08, + "loss": 0.4665, + "step": 7278 + }, + { + "epoch": 0.98, + "learning_rate": 1.2728845394792133e-08, + "loss": 0.4716, + "step": 7279 + }, + { + "epoch": 0.98, + "learning_rate": 1.2574153731831907e-08, + "loss": 0.4588, + "step": 7280 + }, + { + "epoch": 0.98, + "learning_rate": 1.2420406612682067e-08, + "loss": 0.4681, + "step": 7281 + }, + { + "epoch": 0.98, + "learning_rate": 1.2267604066459881e-08, + "loss": 0.4776, + "step": 7282 + }, + { + "epoch": 0.98, + "learning_rate": 1.2115746122103867e-08, + "loss": 0.4673, + "step": 7283 + }, + { + "epoch": 0.98, + "learning_rate": 1.196483280837435e-08, + "loss": 0.4831, + "step": 7284 + }, + { + "epoch": 0.98, + "learning_rate": 1.1814864153851802e-08, + "loss": 0.4093, + "step": 7285 + }, + { + "epoch": 0.98, + "learning_rate": 1.1665840186937948e-08, + "loss": 0.4599, + "step": 7286 + }, + { + "epoch": 0.98, + "learning_rate": 1.1517760935855215e-08, + "loss": 0.4515, + "step": 7287 + }, + { + "epoch": 0.98, + "learning_rate": 1.1370626428647835e-08, + "loss": 0.4702, + "step": 7288 + }, + { + "epoch": 0.98, + "learning_rate": 1.122443669318185e-08, + "loss": 0.4584, + "step": 7289 + }, + { + "epoch": 0.98, + "learning_rate": 1.1079191757141783e-08, + "loss": 0.4412, + "step": 7290 + }, + { + "epoch": 0.98, + "learning_rate": 1.0934891648036183e-08, + "loss": 0.4433, + "step": 7291 + }, + { + "epoch": 0.98, + "learning_rate": 1.0791536393192637e-08, + "loss": 0.4653, + "step": 7292 + }, + { + "epoch": 0.98, + "learning_rate": 1.0649126019761092e-08, + "loss": 0.4704, + "step": 7293 + }, + { + "epoch": 0.98, + "learning_rate": 1.0507660554711085e-08, + "loss": 0.4355, + "step": 7294 + }, + { + "epoch": 0.98, + "learning_rate": 1.036714002483452e-08, + "loss": 0.4952, + "step": 7295 + }, + { + "epoch": 0.98, + "learning_rate": 1.0227564456743999e-08, + "loss": 0.4971, + "step": 7296 + }, + { + "epoch": 0.98, + "learning_rate": 1.008893387687282e-08, + "loss": 0.4949, + "step": 7297 + }, + { + "epoch": 0.98, + "learning_rate": 9.951248311475537e-09, + "loss": 0.4983, + "step": 7298 + }, + { + "epoch": 0.98, + "learning_rate": 9.814507786627958e-09, + "loss": 0.4888, + "step": 7299 + }, + { + "epoch": 0.98, + "learning_rate": 9.678712328226592e-09, + "loss": 0.4454, + "step": 7300 + }, + { + "epoch": 0.98, + "learning_rate": 9.543861961989198e-09, + "loss": 0.4683, + "step": 7301 + }, + { + "epoch": 0.98, + "learning_rate": 9.409956713454237e-09, + "loss": 0.4872, + "step": 7302 + }, + { + "epoch": 0.98, + "learning_rate": 9.276996607981426e-09, + "loss": 0.4691, + "step": 7303 + }, + { + "epoch": 0.98, + "learning_rate": 9.144981670751174e-09, + "loss": 0.4493, + "step": 7304 + }, + { + "epoch": 0.98, + "learning_rate": 9.013911926765151e-09, + "loss": 0.4306, + "step": 7305 + }, + { + "epoch": 0.98, + "learning_rate": 8.883787400846277e-09, + "loss": 0.4592, + "step": 7306 + }, + { + "epoch": 0.98, + "learning_rate": 8.754608117638174e-09, + "loss": 0.4919, + "step": 7307 + }, + { + "epoch": 0.98, + "learning_rate": 8.626374101605161e-09, + "loss": 0.4545, + "step": 7308 + }, + { + "epoch": 0.98, + "learning_rate": 8.499085377033922e-09, + "loss": 0.4756, + "step": 7309 + }, + { + "epoch": 0.98, + "learning_rate": 8.372741968029063e-09, + "loss": 0.4736, + "step": 7310 + }, + { + "epoch": 0.98, + "learning_rate": 8.247343898519777e-09, + "loss": 0.4512, + "step": 7311 + }, + { + "epoch": 0.98, + "learning_rate": 8.12289119225429e-09, + "loss": 0.4716, + "step": 7312 + }, + { + "epoch": 0.98, + "learning_rate": 7.999383872801525e-09, + "loss": 0.4637, + "step": 7313 + }, + { + "epoch": 0.98, + "learning_rate": 7.876821963552216e-09, + "loss": 0.4819, + "step": 7314 + }, + { + "epoch": 0.98, + "learning_rate": 7.755205487718353e-09, + "loss": 0.4679, + "step": 7315 + }, + { + "epoch": 0.98, + "learning_rate": 7.634534468330956e-09, + "loss": 0.4465, + "step": 7316 + }, + { + "epoch": 0.98, + "learning_rate": 7.514808928244522e-09, + "loss": 0.474, + "step": 7317 + }, + { + "epoch": 0.98, + "learning_rate": 7.396028890132578e-09, + "loss": 0.4902, + "step": 7318 + }, + { + "epoch": 0.98, + "learning_rate": 7.278194376491021e-09, + "loss": 0.4769, + "step": 7319 + }, + { + "epoch": 0.98, + "learning_rate": 7.161305409634778e-09, + "loss": 0.4589, + "step": 7320 + }, + { + "epoch": 0.98, + "learning_rate": 7.045362011701695e-09, + "loss": 0.4354, + "step": 7321 + }, + { + "epoch": 0.98, + "learning_rate": 6.930364204649764e-09, + "loss": 0.4567, + "step": 7322 + }, + { + "epoch": 0.98, + "learning_rate": 6.8163120102576755e-09, + "loss": 0.4718, + "step": 7323 + }, + { + "epoch": 0.98, + "learning_rate": 6.7032054501253715e-09, + "loss": 0.5038, + "step": 7324 + }, + { + "epoch": 0.98, + "learning_rate": 6.591044545672942e-09, + "loss": 0.4521, + "step": 7325 + }, + { + "epoch": 0.98, + "learning_rate": 6.479829318142284e-09, + "loss": 0.4574, + "step": 7326 + }, + { + "epoch": 0.98, + "learning_rate": 6.369559788596546e-09, + "loss": 0.4275, + "step": 7327 + }, + { + "epoch": 0.98, + "learning_rate": 6.260235977917917e-09, + "loss": 0.4664, + "step": 7328 + }, + { + "epoch": 0.98, + "learning_rate": 6.151857906812053e-09, + "loss": 0.4598, + "step": 7329 + }, + { + "epoch": 0.98, + "learning_rate": 6.044425595803094e-09, + "loss": 0.4634, + "step": 7330 + }, + { + "epoch": 0.98, + "learning_rate": 5.937939065237542e-09, + "loss": 0.4543, + "step": 7331 + }, + { + "epoch": 0.99, + "learning_rate": 5.832398335282041e-09, + "loss": 0.4735, + "step": 7332 + }, + { + "epoch": 0.99, + "learning_rate": 5.727803425924494e-09, + "loss": 0.481, + "step": 7333 + }, + { + "epoch": 0.99, + "learning_rate": 5.624154356974609e-09, + "loss": 0.5327, + "step": 7334 + }, + { + "epoch": 0.99, + "learning_rate": 5.521451148060575e-09, + "loss": 0.4656, + "step": 7335 + }, + { + "epoch": 0.99, + "learning_rate": 5.419693818633498e-09, + "loss": 0.4314, + "step": 7336 + }, + { + "epoch": 0.99, + "learning_rate": 5.318882387964075e-09, + "loss": 0.4555, + "step": 7337 + }, + { + "epoch": 0.99, + "learning_rate": 5.2190168751459216e-09, + "loss": 0.4523, + "step": 7338 + }, + { + "epoch": 0.99, + "learning_rate": 5.120097299090576e-09, + "loss": 0.4268, + "step": 7339 + }, + { + "epoch": 0.99, + "learning_rate": 5.0221236785324975e-09, + "loss": 0.4386, + "step": 7340 + }, + { + "epoch": 0.99, + "learning_rate": 4.925096032026844e-09, + "loss": 0.488, + "step": 7341 + }, + { + "epoch": 0.99, + "learning_rate": 4.82901437794836e-09, + "loss": 0.4719, + "step": 7342 + }, + { + "epoch": 0.99, + "learning_rate": 4.733878734494158e-09, + "loss": 0.4321, + "step": 7343 + }, + { + "epoch": 0.99, + "learning_rate": 4.6396891196809345e-09, + "loss": 0.4479, + "step": 7344 + }, + { + "epoch": 0.99, + "learning_rate": 4.5464455513472005e-09, + "loss": 0.4681, + "step": 7345 + }, + { + "epoch": 0.99, + "learning_rate": 4.4541480471521625e-09, + "loss": 0.4647, + "step": 7346 + }, + { + "epoch": 0.99, + "learning_rate": 4.362796624574617e-09, + "loss": 0.4945, + "step": 7347 + }, + { + "epoch": 0.99, + "learning_rate": 4.272391300916279e-09, + "loss": 0.4903, + "step": 7348 + }, + { + "epoch": 0.99, + "learning_rate": 4.182932093297898e-09, + "loss": 0.4402, + "step": 7349 + }, + { + "epoch": 0.99, + "learning_rate": 4.094419018662032e-09, + "loss": 0.4506, + "step": 7350 + }, + { + "epoch": 0.99, + "learning_rate": 4.00685209377083e-09, + "loss": 0.4294, + "step": 7351 + }, + { + "epoch": 0.99, + "learning_rate": 3.920231335209357e-09, + "loss": 0.4537, + "step": 7352 + }, + { + "epoch": 0.99, + "learning_rate": 3.834556759382268e-09, + "loss": 0.4654, + "step": 7353 + }, + { + "epoch": 0.99, + "learning_rate": 3.749828382513809e-09, + "loss": 0.4927, + "step": 7354 + }, + { + "epoch": 0.99, + "learning_rate": 3.666046220651698e-09, + "loss": 0.4649, + "step": 7355 + }, + { + "epoch": 0.99, + "learning_rate": 3.5832102896621314e-09, + "loss": 0.4742, + "step": 7356 + }, + { + "epoch": 0.99, + "learning_rate": 3.5013206052331162e-09, + "loss": 0.4779, + "step": 7357 + }, + { + "epoch": 0.99, + "learning_rate": 3.420377182873358e-09, + "loss": 0.47, + "step": 7358 + }, + { + "epoch": 0.99, + "learning_rate": 3.340380037912816e-09, + "loss": 0.4528, + "step": 7359 + }, + { + "epoch": 0.99, + "learning_rate": 3.2613291855010385e-09, + "loss": 0.4497, + "step": 7360 + }, + { + "epoch": 0.99, + "learning_rate": 3.1832246406093836e-09, + "loss": 0.456, + "step": 7361 + }, + { + "epoch": 0.99, + "learning_rate": 3.1060664180299072e-09, + "loss": 0.4715, + "step": 7362 + }, + { + "epoch": 0.99, + "learning_rate": 3.02985453237481e-09, + "loss": 0.4821, + "step": 7363 + }, + { + "epoch": 0.99, + "learning_rate": 2.9545889980775453e-09, + "loss": 0.4757, + "step": 7364 + }, + { + "epoch": 0.99, + "learning_rate": 2.8802698293928233e-09, + "loss": 0.463, + "step": 7365 + }, + { + "epoch": 0.99, + "learning_rate": 2.8068970403949402e-09, + "loss": 0.4342, + "step": 7366 + }, + { + "epoch": 0.99, + "learning_rate": 2.7344706449800028e-09, + "loss": 0.4346, + "step": 7367 + }, + { + "epoch": 0.99, + "learning_rate": 2.6629906568642615e-09, + "loss": 0.467, + "step": 7368 + }, + { + "epoch": 0.99, + "learning_rate": 2.5924570895846656e-09, + "loss": 0.5088, + "step": 7369 + }, + { + "epoch": 0.99, + "learning_rate": 2.5228699564999737e-09, + "loss": 0.4879, + "step": 7370 + }, + { + "epoch": 0.99, + "learning_rate": 2.454229270788533e-09, + "loss": 0.4683, + "step": 7371 + }, + { + "epoch": 0.99, + "learning_rate": 2.3865350454493895e-09, + "loss": 0.4659, + "step": 7372 + }, + { + "epoch": 0.99, + "learning_rate": 2.3197872933039546e-09, + "loss": 0.4907, + "step": 7373 + }, + { + "epoch": 0.99, + "learning_rate": 2.2539860269921164e-09, + "loss": 0.4424, + "step": 7374 + }, + { + "epoch": 0.99, + "learning_rate": 2.1891312589766846e-09, + "loss": 0.4565, + "step": 7375 + }, + { + "epoch": 0.99, + "learning_rate": 2.125223001538945e-09, + "loss": 0.4853, + "step": 7376 + }, + { + "epoch": 0.99, + "learning_rate": 2.0622612667831053e-09, + "loss": 0.4643, + "step": 7377 + }, + { + "epoch": 0.99, + "learning_rate": 2.0002460666329606e-09, + "loss": 0.4555, + "step": 7378 + }, + { + "epoch": 0.99, + "learning_rate": 1.9391774128335595e-09, + "loss": 0.4884, + "step": 7379 + }, + { + "epoch": 0.99, + "learning_rate": 1.879055316949541e-09, + "loss": 0.4524, + "step": 7380 + }, + { + "epoch": 0.99, + "learning_rate": 1.8198797903679066e-09, + "loss": 0.4853, + "step": 7381 + }, + { + "epoch": 0.99, + "learning_rate": 1.7616508442952485e-09, + "loss": 0.4885, + "step": 7382 + }, + { + "epoch": 0.99, + "learning_rate": 1.7043684897594115e-09, + "loss": 0.4601, + "step": 7383 + }, + { + "epoch": 0.99, + "learning_rate": 1.64803273760894e-09, + "loss": 0.4942, + "step": 7384 + }, + { + "epoch": 0.99, + "learning_rate": 1.5926435985125222e-09, + "loss": 0.4711, + "step": 7385 + }, + { + "epoch": 0.99, + "learning_rate": 1.5382010829601001e-09, + "loss": 0.4999, + "step": 7386 + }, + { + "epoch": 0.99, + "learning_rate": 1.4847052012628703e-09, + "loss": 0.4592, + "step": 7387 + }, + { + "epoch": 0.99, + "learning_rate": 1.432155963551618e-09, + "loss": 0.4998, + "step": 7388 + }, + { + "epoch": 0.99, + "learning_rate": 1.380553379778382e-09, + "loss": 0.4962, + "step": 7389 + }, + { + "epoch": 0.99, + "learning_rate": 1.329897459716456e-09, + "loss": 0.4822, + "step": 7390 + }, + { + "epoch": 0.99, + "learning_rate": 1.2801882129587218e-09, + "loss": 0.4806, + "step": 7391 + }, + { + "epoch": 0.99, + "learning_rate": 1.2314256489193154e-09, + "loss": 0.4466, + "step": 7392 + }, + { + "epoch": 0.99, + "learning_rate": 1.1836097768336273e-09, + "loss": 0.4231, + "step": 7393 + }, + { + "epoch": 0.99, + "learning_rate": 1.1367406057571917e-09, + "loss": 0.454, + "step": 7394 + }, + { + "epoch": 0.99, + "learning_rate": 1.0908181445662414e-09, + "loss": 0.4781, + "step": 7395 + }, + { + "epoch": 0.99, + "learning_rate": 1.0458424019577085e-09, + "loss": 0.4832, + "step": 7396 + }, + { + "epoch": 0.99, + "learning_rate": 1.001813386448669e-09, + "loss": 0.4457, + "step": 7397 + }, + { + "epoch": 0.99, + "learning_rate": 9.587311063791182e-10, + "loss": 0.4502, + "step": 7398 + }, + { + "epoch": 0.99, + "learning_rate": 9.165955699069751e-10, + "loss": 0.4375, + "step": 7399 + }, + { + "epoch": 0.99, + "learning_rate": 8.754067850119674e-10, + "loss": 0.463, + "step": 7400 + }, + { + "epoch": 0.99, + "learning_rate": 8.351647594956325e-10, + "loss": 0.4657, + "step": 7401 + }, + { + "epoch": 0.99, + "learning_rate": 7.958695009785411e-10, + "loss": 0.4683, + "step": 7402 + }, + { + "epoch": 0.99, + "learning_rate": 7.575210169030733e-10, + "loss": 0.4578, + "step": 7403 + }, + { + "epoch": 0.99, + "learning_rate": 7.20119314531198e-10, + "loss": 0.462, + "step": 7404 + }, + { + "epoch": 0.99, + "learning_rate": 6.836644009461379e-10, + "loss": 0.4504, + "step": 7405 + }, + { + "epoch": 1.0, + "learning_rate": 6.481562830529254e-10, + "loss": 0.4485, + "step": 7406 + }, + { + "epoch": 1.0, + "learning_rate": 6.135949675756259e-10, + "loss": 0.4728, + "step": 7407 + }, + { + "epoch": 1.0, + "learning_rate": 5.799804610595594e-10, + "loss": 0.411, + "step": 7408 + }, + { + "epoch": 1.0, + "learning_rate": 5.473127698707447e-10, + "loss": 0.4761, + "step": 7409 + }, + { + "epoch": 1.0, + "learning_rate": 5.155919001964548e-10, + "loss": 0.4477, + "step": 7410 + }, + { + "epoch": 1.0, + "learning_rate": 4.848178580441065e-10, + "loss": 0.4609, + "step": 7411 + }, + { + "epoch": 1.0, + "learning_rate": 4.5499064924126036e-10, + "loss": 0.4927, + "step": 7412 + }, + { + "epoch": 1.0, + "learning_rate": 4.261102794367311e-10, + "loss": 0.453, + "step": 7413 + }, + { + "epoch": 1.0, + "learning_rate": 3.9817675410058763e-10, + "loss": 0.4551, + "step": 7414 + }, + { + "epoch": 1.0, + "learning_rate": 3.711900785230427e-10, + "loss": 0.467, + "step": 7415 + }, + { + "epoch": 1.0, + "learning_rate": 3.4515025781445276e-10, + "loss": 0.4209, + "step": 7416 + }, + { + "epoch": 1.0, + "learning_rate": 3.200572969069837e-10, + "loss": 0.4313, + "step": 7417 + }, + { + "epoch": 1.0, + "learning_rate": 2.959112005523901e-10, + "loss": 0.4474, + "step": 7418 + }, + { + "epoch": 1.0, + "learning_rate": 2.727119733236805e-10, + "loss": 0.4529, + "step": 7419 + }, + { + "epoch": 1.0, + "learning_rate": 2.5045961961456257e-10, + "loss": 0.4353, + "step": 7420 + }, + { + "epoch": 1.0, + "learning_rate": 2.2915414363888778e-10, + "loss": 0.4393, + "step": 7421 + }, + { + "epoch": 1.0, + "learning_rate": 2.0879554943231682e-10, + "loss": 0.4947, + "step": 7422 + }, + { + "epoch": 1.0, + "learning_rate": 1.8938384084954408e-10, + "loss": 0.4805, + "step": 7423 + }, + { + "epoch": 1.0, + "learning_rate": 1.7091902156762818e-10, + "loss": 0.4594, + "step": 7424 + }, + { + "epoch": 1.0, + "learning_rate": 1.5340109508321654e-10, + "loss": 0.4845, + "step": 7425 + }, + { + "epoch": 1.0, + "learning_rate": 1.368300647142107e-10, + "loss": 0.4634, + "step": 7426 + }, + { + "epoch": 1.0, + "learning_rate": 1.2120593359865595e-10, + "loss": 0.4469, + "step": 7427 + }, + { + "epoch": 1.0, + "learning_rate": 1.0652870469585186e-10, + "loss": 0.4672, + "step": 7428 + }, + { + "epoch": 1.0, + "learning_rate": 9.279838078468661e-11, + "loss": 0.4842, + "step": 7429 + }, + { + "epoch": 1.0, + "learning_rate": 8.001496446641277e-11, + "loss": 0.4595, + "step": 7430 + }, + { + "epoch": 1.0, + "learning_rate": 6.817845816131652e-11, + "loss": 0.4417, + "step": 7431 + }, + { + "epoch": 1.0, + "learning_rate": 5.728886411093815e-11, + "loss": 0.4391, + "step": 7432 + }, + { + "epoch": 1.0, + "learning_rate": 4.734618437862715e-11, + "loss": 0.4808, + "step": 7433 + }, + { + "epoch": 1.0, + "learning_rate": 3.835042084621154e-11, + "loss": 0.4846, + "step": 7434 + }, + { + "epoch": 1.0, + "learning_rate": 3.030157521843879e-11, + "loss": 0.4824, + "step": 7435 + }, + { + "epoch": 1.0, + "learning_rate": 2.3199649018534887e-11, + "loss": 0.4939, + "step": 7436 + }, + { + "epoch": 1.0, + "learning_rate": 1.7044643592090126e-11, + "loss": 0.449, + "step": 7437 + }, + { + "epoch": 1.0, + "learning_rate": 1.1836560104838691e-11, + "loss": 0.4856, + "step": 7438 + }, + { + "epoch": 1.0, + "learning_rate": 7.575399543213734e-12, + "loss": 0.4623, + "step": 7439 + }, + { + "epoch": 1.0, + "learning_rate": 4.261162713792288e-12, + "loss": 0.443, + "step": 7440 + }, + { + "epoch": 1.0, + "learning_rate": 1.8938502444054708e-12, + "loss": 0.4618, + "step": 7441 + }, + { + "epoch": 1.0, + "learning_rate": 4.73462583583384e-13, + "loss": 0.4594, + "step": 7442 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 0.5047, + "step": 7443 + }, + { + "epoch": 1.0, + "step": 7443, + "total_flos": 0.0, + "train_loss": 0.015140367998930135, + "train_runtime": 4068.4255, + "train_samples_per_second": 468.455, + "train_steps_per_second": 1.829 + } + ], + "logging_steps": 1.0, + "max_steps": 7443, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 100, + "total_flos": 0.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +}