diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,31213 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "global_step": 5198, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 1.282051282051282e-06, + "loss": 0.9911, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 2.564102564102564e-06, + "loss": 1.3057, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 3.846153846153847e-06, + "loss": 1.3057, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 5.128205128205128e-06, + "loss": 1.2979, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 6.41025641025641e-06, + "loss": 1.3423, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 7.692307692307694e-06, + "loss": 1.3032, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 8.974358974358976e-06, + "loss": 1.2786, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 1.0256410256410256e-05, + "loss": 1.2852, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 1.153846153846154e-05, + "loss": 1.2168, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 1.282051282051282e-05, + "loss": 1.2642, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 1.4102564102564104e-05, + "loss": 1.1765, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 1.5384615384615387e-05, + "loss": 1.2004, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 1.6666666666666667e-05, + "loss": 1.1538, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 1.794871794871795e-05, + "loss": 1.1597, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 1.923076923076923e-05, + "loss": 1.0989, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 2.0512820512820512e-05, + "loss": 1.1257, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 2.1794871794871795e-05, + "loss": 1.1636, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 2.307692307692308e-05, + "loss": 1.0798, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 2.435897435897436e-05, + "loss": 1.0796, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 2.564102564102564e-05, + "loss": 1.1372, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 2.6923076923076923e-05, + "loss": 1.0229, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 2.8205128205128207e-05, + "loss": 1.1206, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 2.948717948717949e-05, + "loss": 1.0796, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 3.0769230769230774e-05, + "loss": 1.001, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 3.205128205128206e-05, + "loss": 1.1108, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 3.3333333333333335e-05, + "loss": 1.0603, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 3.461538461538462e-05, + "loss": 1.0583, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 3.58974358974359e-05, + "loss": 1.0632, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 3.717948717948718e-05, + "loss": 1.0579, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 3.846153846153846e-05, + "loss": 1.0059, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 3.974358974358974e-05, + "loss": 1.0317, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 4.1025641025641023e-05, + "loss": 1.0796, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 4.230769230769231e-05, + "loss": 1.0, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 4.358974358974359e-05, + "loss": 1.0261, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 4.4871794871794874e-05, + "loss": 1.0081, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 4.615384615384616e-05, + "loss": 0.989, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 4.7435897435897435e-05, + "loss": 1.0193, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 4.871794871794872e-05, + "loss": 0.3206, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 5e-05, + "loss": 1.0166, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 5.128205128205128e-05, + "loss": 1.0398, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 5.256410256410257e-05, + "loss": 1.0105, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 5.384615384615385e-05, + "loss": 1.0217, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 5.512820512820514e-05, + "loss": 1.053, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 5.6410256410256414e-05, + "loss": 0.9395, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 5.769230769230769e-05, + "loss": 1.0188, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 5.897435897435898e-05, + "loss": 1.0288, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 6.025641025641026e-05, + "loss": 0.99, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 6.153846153846155e-05, + "loss": 0.9556, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 6.282051282051282e-05, + "loss": 0.979, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 6.410256410256412e-05, + "loss": 0.9739, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 6.538461538461539e-05, + "loss": 0.9648, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 6.666666666666667e-05, + "loss": 1.0012, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 6.794871794871795e-05, + "loss": 1.0083, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 6.923076923076924e-05, + "loss": 0.9692, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 7.051282051282052e-05, + "loss": 0.9604, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 7.17948717948718e-05, + "loss": 0.9893, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 7.307692307692307e-05, + "loss": 0.3201, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 7.435897435897436e-05, + "loss": 0.9736, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 7.564102564102564e-05, + "loss": 0.9995, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 7.692307692307693e-05, + "loss": 1.0271, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 7.820512820512821e-05, + "loss": 0.9863, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 7.948717948717948e-05, + "loss": 0.967, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 8.076923076923078e-05, + "loss": 0.9482, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 8.205128205128205e-05, + "loss": 0.9287, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 8.333333333333334e-05, + "loss": 0.9961, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 8.461538461538461e-05, + "loss": 0.97, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 8.58974358974359e-05, + "loss": 0.9419, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 8.717948717948718e-05, + "loss": 0.8909, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 8.846153846153847e-05, + "loss": 0.9736, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 8.974358974358975e-05, + "loss": 0.9631, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 9.102564102564103e-05, + "loss": 0.9502, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 9.230769230769232e-05, + "loss": 0.9346, + "step": 72 + }, + { + "epoch": 0.01, + "learning_rate": 9.35897435897436e-05, + "loss": 0.8926, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 9.487179487179487e-05, + "loss": 0.9878, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 9.615384615384617e-05, + "loss": 0.936, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 9.743589743589744e-05, + "loss": 0.9268, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 9.871794871794872e-05, + "loss": 0.9359, + "step": 77 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001, + "loss": 0.9084, + "step": 78 + }, + { + "epoch": 0.02, + "learning_rate": 0.00010128205128205129, + "loss": 0.9607, + "step": 79 + }, + { + "epoch": 0.02, + "learning_rate": 0.00010256410256410256, + "loss": 1.0171, + "step": 80 + }, + { + "epoch": 0.02, + "learning_rate": 0.00010384615384615386, + "loss": 0.9541, + "step": 81 + }, + { + "epoch": 0.02, + "learning_rate": 0.00010512820512820514, + "loss": 0.9966, + "step": 82 + }, + { + "epoch": 0.02, + "learning_rate": 0.00010641025641025641, + "loss": 1.0237, + "step": 83 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001076923076923077, + "loss": 1.0005, + "step": 84 + }, + { + "epoch": 0.02, + "learning_rate": 0.00010897435897435896, + "loss": 0.9644, + "step": 85 + }, + { + "epoch": 0.02, + "learning_rate": 0.00011025641025641027, + "loss": 0.9412, + "step": 86 + }, + { + "epoch": 0.02, + "learning_rate": 0.00011153846153846154, + "loss": 0.9492, + "step": 87 + }, + { + "epoch": 0.02, + "learning_rate": 0.00011282051282051283, + "loss": 1.0034, + "step": 88 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001141025641025641, + "loss": 0.9585, + "step": 89 + }, + { + "epoch": 0.02, + "learning_rate": 0.00011538461538461538, + "loss": 0.2935, + "step": 90 + }, + { + "epoch": 0.02, + "learning_rate": 0.00011666666666666668, + "loss": 0.9119, + "step": 91 + }, + { + "epoch": 0.02, + "learning_rate": 0.00011794871794871796, + "loss": 0.9658, + "step": 92 + }, + { + "epoch": 0.02, + "learning_rate": 0.00011923076923076923, + "loss": 0.9883, + "step": 93 + }, + { + "epoch": 0.02, + "learning_rate": 0.00012051282051282052, + "loss": 0.9814, + "step": 94 + }, + { + "epoch": 0.02, + "learning_rate": 0.00012179487179487179, + "loss": 0.9363, + "step": 95 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001230769230769231, + "loss": 0.3049, + "step": 96 + }, + { + "epoch": 0.02, + "learning_rate": 0.00012435897435897437, + "loss": 0.9514, + "step": 97 + }, + { + "epoch": 0.02, + "learning_rate": 0.00012564102564102564, + "loss": 0.9421, + "step": 98 + }, + { + "epoch": 0.02, + "learning_rate": 0.00012692307692307693, + "loss": 0.9761, + "step": 99 + }, + { + "epoch": 0.02, + "learning_rate": 0.00012820512820512823, + "loss": 0.8861, + "step": 100 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001294871794871795, + "loss": 0.2889, + "step": 101 + }, + { + "epoch": 0.02, + "learning_rate": 0.00013076923076923077, + "loss": 0.9326, + "step": 102 + }, + { + "epoch": 0.02, + "learning_rate": 0.00013205128205128204, + "loss": 1.0322, + "step": 103 + }, + { + "epoch": 0.02, + "learning_rate": 0.00013333333333333334, + "loss": 0.9812, + "step": 104 + }, + { + "epoch": 0.02, + "learning_rate": 0.00013461538461538464, + "loss": 0.9231, + "step": 105 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001358974358974359, + "loss": 0.2635, + "step": 106 + }, + { + "epoch": 0.02, + "learning_rate": 0.00013717948717948718, + "loss": 0.9312, + "step": 107 + }, + { + "epoch": 0.02, + "learning_rate": 0.00013846153846153847, + "loss": 1.01, + "step": 108 + }, + { + "epoch": 0.02, + "learning_rate": 0.00013974358974358974, + "loss": 0.9314, + "step": 109 + }, + { + "epoch": 0.02, + "learning_rate": 0.00014102564102564104, + "loss": 0.9646, + "step": 110 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001423076923076923, + "loss": 0.9473, + "step": 111 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001435897435897436, + "loss": 0.9421, + "step": 112 + }, + { + "epoch": 0.02, + "learning_rate": 0.00014487179487179488, + "loss": 1.0051, + "step": 113 + }, + { + "epoch": 0.02, + "learning_rate": 0.00014615384615384615, + "loss": 0.9463, + "step": 114 + }, + { + "epoch": 0.02, + "learning_rate": 0.00014743589743589745, + "loss": 0.9583, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 0.00014871794871794872, + "loss": 0.967, + "step": 116 + }, + { + "epoch": 0.02, + "learning_rate": 0.00015000000000000001, + "loss": 0.2896, + "step": 117 + }, + { + "epoch": 0.02, + "learning_rate": 0.00015128205128205128, + "loss": 0.9856, + "step": 118 + }, + { + "epoch": 0.02, + "learning_rate": 0.00015256410256410255, + "loss": 0.9418, + "step": 119 + }, + { + "epoch": 0.02, + "learning_rate": 0.00015384615384615385, + "loss": 1.0398, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 0.00015512820512820515, + "loss": 0.9056, + "step": 121 + }, + { + "epoch": 0.02, + "learning_rate": 0.00015641025641025642, + "loss": 0.9714, + "step": 122 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001576923076923077, + "loss": 1.0107, + "step": 123 + }, + { + "epoch": 0.02, + "learning_rate": 0.00015897435897435896, + "loss": 0.8979, + "step": 124 + }, + { + "epoch": 0.02, + "learning_rate": 0.00016025641025641028, + "loss": 0.9434, + "step": 125 + }, + { + "epoch": 0.02, + "learning_rate": 0.00016153846153846155, + "loss": 0.947, + "step": 126 + }, + { + "epoch": 0.02, + "learning_rate": 0.00016282051282051282, + "loss": 0.9348, + "step": 127 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001641025641025641, + "loss": 0.9946, + "step": 128 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001653846153846154, + "loss": 0.8452, + "step": 129 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001666666666666667, + "loss": 0.9248, + "step": 130 + }, + { + "epoch": 0.03, + "learning_rate": 0.00016794871794871796, + "loss": 0.9482, + "step": 131 + }, + { + "epoch": 0.03, + "learning_rate": 0.00016923076923076923, + "loss": 0.9539, + "step": 132 + }, + { + "epoch": 0.03, + "learning_rate": 0.00017051282051282053, + "loss": 0.8955, + "step": 133 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001717948717948718, + "loss": 0.9031, + "step": 134 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001730769230769231, + "loss": 0.9282, + "step": 135 + }, + { + "epoch": 0.03, + "learning_rate": 0.00017435897435897436, + "loss": 0.9341, + "step": 136 + }, + { + "epoch": 0.03, + "learning_rate": 0.00017564102564102566, + "loss": 0.905, + "step": 137 + }, + { + "epoch": 0.03, + "learning_rate": 0.00017692307692307693, + "loss": 0.9768, + "step": 138 + }, + { + "epoch": 0.03, + "learning_rate": 0.00017820512820512823, + "loss": 0.9822, + "step": 139 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001794871794871795, + "loss": 0.8977, + "step": 140 + }, + { + "epoch": 0.03, + "learning_rate": 0.00018076923076923077, + "loss": 0.9932, + "step": 141 + }, + { + "epoch": 0.03, + "learning_rate": 0.00018205128205128207, + "loss": 0.9468, + "step": 142 + }, + { + "epoch": 0.03, + "learning_rate": 0.00018333333333333334, + "loss": 0.9482, + "step": 143 + }, + { + "epoch": 0.03, + "learning_rate": 0.00018461538461538463, + "loss": 0.9897, + "step": 144 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001858974358974359, + "loss": 0.9683, + "step": 145 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001871794871794872, + "loss": 0.9407, + "step": 146 + }, + { + "epoch": 0.03, + "learning_rate": 0.00018846153846153847, + "loss": 0.9431, + "step": 147 + }, + { + "epoch": 0.03, + "learning_rate": 0.00018974358974358974, + "loss": 0.9031, + "step": 148 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019102564102564104, + "loss": 0.9187, + "step": 149 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019230769230769233, + "loss": 0.9221, + "step": 150 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001935897435897436, + "loss": 0.9373, + "step": 151 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019487179487179487, + "loss": 0.9734, + "step": 152 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019615384615384615, + "loss": 0.279, + "step": 153 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019743589743589744, + "loss": 0.9597, + "step": 154 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019871794871794874, + "loss": 0.8979, + "step": 155 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8833, + "step": 156 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999998058827846, + "loss": 1.0046, + "step": 157 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999992235312134, + "loss": 0.9485, + "step": 158 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999982529455128, + "loss": 0.9712, + "step": 159 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999968941260594, + "loss": 0.9333, + "step": 160 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999951470733808, + "loss": 0.9351, + "step": 161 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001999993011788155, + "loss": 0.9385, + "step": 162 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999904882712116, + "loss": 0.9622, + "step": 163 + }, + { + "epoch": 0.03, + "learning_rate": 0.000199998757652353, + "loss": 0.9269, + "step": 164 + }, + { + "epoch": 0.03, + "learning_rate": 0.000199998427654624, + "loss": 0.3242, + "step": 165 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001999980588340624, + "loss": 0.9358, + "step": 166 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001999976511908113, + "loss": 0.947, + "step": 167 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999720472502902, + "loss": 0.9563, + "step": 168 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999671943688883, + "loss": 0.9199, + "step": 169 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999619532657916, + "loss": 0.9216, + "step": 170 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999563239430352, + "loss": 0.9082, + "step": 171 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999503064028042, + "loss": 0.8121, + "step": 172 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001999943900647435, + "loss": 0.9695, + "step": 173 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999371066794147, + "loss": 0.9285, + "step": 174 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999299245013804, + "loss": 0.9438, + "step": 175 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001999922354116121, + "loss": 0.9358, + "step": 176 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001999914395526575, + "loss": 0.9241, + "step": 177 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001999906048735833, + "loss": 0.9148, + "step": 178 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019998973137471353, + "loss": 0.8811, + "step": 179 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019998881905638726, + "loss": 0.9421, + "step": 180 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001999878679189587, + "loss": 0.2761, + "step": 181 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019998687796279717, + "loss": 0.9131, + "step": 182 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019998584918828695, + "loss": 0.9875, + "step": 183 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019998478159582748, + "loss": 0.8845, + "step": 184 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019998367518583317, + "loss": 0.9155, + "step": 185 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019998252995873366, + "loss": 0.969, + "step": 186 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999813459149735, + "loss": 0.9573, + "step": 187 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999801230550124, + "loss": 0.3327, + "step": 188 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019997886137932512, + "loss": 0.9065, + "step": 189 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019997756088840148, + "loss": 0.8701, + "step": 190 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019997622158274636, + "loss": 0.2866, + "step": 191 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019997484346287973, + "loss": 0.9377, + "step": 192 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019997342652933666, + "loss": 0.9258, + "step": 193 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019997197078266724, + "loss": 1.0151, + "step": 194 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019997047622343658, + "loss": 0.9512, + "step": 195 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019996894285222497, + "loss": 0.8955, + "step": 196 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019996737066962775, + "loss": 0.9612, + "step": 197 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019996575967625523, + "loss": 0.9817, + "step": 198 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999641098727329, + "loss": 0.9448, + "step": 199 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019996242125970126, + "loss": 0.8928, + "step": 200 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019996069383781587, + "loss": 0.9072, + "step": 201 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019995892760774737, + "loss": 0.9883, + "step": 202 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999571225701815, + "loss": 0.9705, + "step": 203 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019995527872581902, + "loss": 0.9417, + "step": 204 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019995339607537579, + "loss": 0.8994, + "step": 205 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019995147461958267, + "loss": 0.3016, + "step": 206 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999495143591857, + "loss": 0.9155, + "step": 207 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999475152949459, + "loss": 0.9224, + "step": 208 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019994547742763934, + "loss": 0.9155, + "step": 209 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019994340075805725, + "loss": 0.9629, + "step": 210 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019994128528700583, + "loss": 0.9463, + "step": 211 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019993913101530635, + "loss": 0.9382, + "step": 212 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019993693794379525, + "loss": 0.8479, + "step": 213 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999347060733239, + "loss": 0.8938, + "step": 214 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019993243540475877, + "loss": 0.9324, + "step": 215 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019993012593898146, + "loss": 0.929, + "step": 216 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019992777767688854, + "loss": 0.9507, + "step": 217 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019992539061939175, + "loss": 0.2731, + "step": 218 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019992296476741776, + "loss": 0.2989, + "step": 219 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019992050012190843, + "loss": 0.9783, + "step": 220 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019991799668382058, + "loss": 0.2691, + "step": 221 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019991545445412613, + "loss": 0.8954, + "step": 222 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999128734338121, + "loss": 0.9231, + "step": 223 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019991025362388044, + "loss": 0.9924, + "step": 224 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019990759502534834, + "loss": 0.9756, + "step": 225 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019990489763924797, + "loss": 0.9124, + "step": 226 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019990216146662646, + "loss": 0.2668, + "step": 227 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019989938650854616, + "loss": 0.8877, + "step": 228 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019989657276608437, + "loss": 0.9661, + "step": 229 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019989372024033352, + "loss": 0.8909, + "step": 230 + }, + { + "epoch": 0.04, + "learning_rate": 0.000199890828932401, + "loss": 0.8787, + "step": 231 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019988789884340936, + "loss": 0.9041, + "step": 232 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019988492997449615, + "loss": 0.9189, + "step": 233 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019988192232681397, + "loss": 0.9385, + "step": 234 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019987887590153055, + "loss": 0.9155, + "step": 235 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019987579069982855, + "loss": 0.9202, + "step": 236 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019987266672290575, + "loss": 0.9717, + "step": 237 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019986950397197503, + "loss": 0.9509, + "step": 238 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019986630244826426, + "loss": 0.9622, + "step": 239 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019986306215301637, + "loss": 0.9265, + "step": 240 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019985978308748937, + "loss": 0.9668, + "step": 241 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019985646525295632, + "loss": 0.9453, + "step": 242 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001998531086507053, + "loss": 0.8621, + "step": 243 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019984971328203946, + "loss": 0.887, + "step": 244 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019984627914827697, + "loss": 0.918, + "step": 245 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019984280625075113, + "loss": 0.9229, + "step": 246 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001998392945908102, + "loss": 0.9832, + "step": 247 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019983574416981755, + "loss": 0.9089, + "step": 248 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019983215498915158, + "loss": 0.9111, + "step": 249 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001998285270502057, + "loss": 0.8679, + "step": 250 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019982486035438846, + "loss": 0.8566, + "step": 251 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019982115490312332, + "loss": 0.3115, + "step": 252 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001998174106978489, + "loss": 0.9272, + "step": 253 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019981362774001887, + "loss": 0.9312, + "step": 254 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019980980603110185, + "loss": 0.916, + "step": 255 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019980594557258155, + "loss": 0.9451, + "step": 256 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019980204636595682, + "loss": 0.8926, + "step": 257 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019979810841274132, + "loss": 0.8425, + "step": 258 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019979413171446403, + "loss": 0.9263, + "step": 259 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019979011627266883, + "loss": 0.9692, + "step": 260 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019978606208891458, + "loss": 0.916, + "step": 261 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001997819691647753, + "loss": 0.9194, + "step": 262 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019977783750183998, + "loss": 0.7986, + "step": 263 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019977366710171272, + "loss": 0.9453, + "step": 264 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019976945796601258, + "loss": 0.9231, + "step": 265 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019976521009637364, + "loss": 0.9114, + "step": 266 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001997609234944452, + "loss": 0.917, + "step": 267 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019975659816189137, + "loss": 0.9189, + "step": 268 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001997522341003914, + "loss": 1.002, + "step": 269 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019974783131163957, + "loss": 0.8383, + "step": 270 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019974338979734523, + "loss": 0.9153, + "step": 271 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019973890955923268, + "loss": 0.9324, + "step": 272 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019973439059904133, + "loss": 0.9473, + "step": 273 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019972983291852563, + "loss": 0.9465, + "step": 274 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019972523651945497, + "loss": 0.9299, + "step": 275 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019972060140361383, + "loss": 0.9521, + "step": 276 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019971592757280177, + "loss": 0.916, + "step": 277 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001997112150288333, + "loss": 0.9607, + "step": 278 + }, + { + "epoch": 0.05, + "learning_rate": 0.000199706463773538, + "loss": 0.9417, + "step": 279 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001997016738087605, + "loss": 0.9414, + "step": 280 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019969684513636033, + "loss": 0.9453, + "step": 281 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019969197775821225, + "loss": 0.9053, + "step": 282 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019968707167620592, + "loss": 0.9067, + "step": 283 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019968212689224602, + "loss": 0.8933, + "step": 284 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019967714340825233, + "loss": 0.9597, + "step": 285 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019967212122615956, + "loss": 0.8433, + "step": 286 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019966706034791752, + "loss": 0.897, + "step": 287 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019966196077549105, + "loss": 0.833, + "step": 288 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001996568225108599, + "loss": 0.8732, + "step": 289 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019965164555601898, + "loss": 0.938, + "step": 290 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019964642991297815, + "loss": 0.9111, + "step": 291 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001996411755837623, + "loss": 0.9495, + "step": 292 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019963588257041135, + "loss": 0.8972, + "step": 293 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019963055087498022, + "loss": 0.887, + "step": 294 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019962518049953886, + "loss": 0.9553, + "step": 295 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019961977144617224, + "loss": 0.8906, + "step": 296 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001996143237169803, + "loss": 0.9443, + "step": 297 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019960883731407812, + "loss": 0.314, + "step": 298 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019960331223959564, + "loss": 0.9031, + "step": 299 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001995977484956779, + "loss": 0.9324, + "step": 300 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019959214608448496, + "loss": 0.8633, + "step": 301 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019958650500819184, + "loss": 0.9441, + "step": 302 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001995808252689886, + "loss": 0.9751, + "step": 303 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019957510686908033, + "loss": 0.8794, + "step": 304 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019956934981068712, + "loss": 0.8608, + "step": 305 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019956355409604402, + "loss": 0.9194, + "step": 306 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019955771972740116, + "loss": 0.866, + "step": 307 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001995518467070236, + "loss": 0.9438, + "step": 308 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019954593503719153, + "loss": 0.8555, + "step": 309 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019953998472019995, + "loss": 0.9121, + "step": 310 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001995339957583591, + "loss": 0.9248, + "step": 311 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019952796815399403, + "loss": 0.8989, + "step": 312 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019952190190944484, + "loss": 0.8491, + "step": 313 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019951579702706668, + "loss": 0.9358, + "step": 314 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019950965350922975, + "loss": 0.9697, + "step": 315 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019950347135831907, + "loss": 0.8517, + "step": 316 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001994972505767348, + "loss": 0.9263, + "step": 317 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019949099116689208, + "loss": 0.9241, + "step": 318 + }, + { + "epoch": 0.06, + "learning_rate": 0.000199484693131221, + "loss": 0.9119, + "step": 319 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019947835647216668, + "loss": 0.9045, + "step": 320 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019947198119218924, + "loss": 0.896, + "step": 321 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001994655672937638, + "loss": 0.8889, + "step": 322 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019945911477938042, + "loss": 0.2776, + "step": 323 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001994526236515442, + "loss": 0.9895, + "step": 324 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019944609391277528, + "loss": 0.9255, + "step": 325 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001994395255656086, + "loss": 0.9658, + "step": 326 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019943291861259431, + "loss": 0.8491, + "step": 327 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019942627305629746, + "loss": 0.9607, + "step": 328 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019941958889929806, + "loss": 0.9033, + "step": 329 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001994128661441911, + "loss": 0.8882, + "step": 330 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019940610479358669, + "loss": 0.8464, + "step": 331 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019939930485010968, + "loss": 0.9331, + "step": 332 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019939246631640013, + "loss": 0.9185, + "step": 333 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019938558919511298, + "loss": 0.8958, + "step": 334 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019937867348891815, + "loss": 0.8589, + "step": 335 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019937171920050056, + "loss": 0.9194, + "step": 336 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019936472633256012, + "loss": 0.9211, + "step": 337 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019935769488781168, + "loss": 0.8997, + "step": 338 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001993506248689851, + "loss": 0.9136, + "step": 339 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001993435162788252, + "loss": 0.9336, + "step": 340 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001993363691200918, + "loss": 0.895, + "step": 341 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019932918339555963, + "loss": 0.9387, + "step": 342 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019932195910801848, + "loss": 0.8525, + "step": 343 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019931469626027304, + "loss": 0.9592, + "step": 344 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019930739485514302, + "loss": 0.8782, + "step": 345 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019930005489546306, + "loss": 0.8682, + "step": 346 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019929267638408278, + "loss": 0.9072, + "step": 347 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019928525932386677, + "loss": 0.9475, + "step": 348 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019927780371769462, + "loss": 0.8984, + "step": 349 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019927030956846083, + "loss": 0.912, + "step": 350 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001992627768790749, + "loss": 0.8569, + "step": 351 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019925520565246122, + "loss": 0.9143, + "step": 352 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001992475958915593, + "loss": 0.3037, + "step": 353 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019923994759932343, + "loss": 0.8801, + "step": 354 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019923226077872298, + "loss": 0.97, + "step": 355 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001992245354327422, + "loss": 0.8887, + "step": 356 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019921677156438045, + "loss": 0.9031, + "step": 357 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019920896917665178, + "loss": 0.8975, + "step": 358 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001992011282725854, + "loss": 0.9578, + "step": 359 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019919324885522545, + "loss": 0.9612, + "step": 360 + }, + { + "epoch": 0.07, + "learning_rate": 0.000199185330927631, + "loss": 0.9155, + "step": 361 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019917737449287598, + "loss": 0.9084, + "step": 362 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019916937955404942, + "loss": 0.8813, + "step": 363 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019916134611425523, + "loss": 0.8828, + "step": 364 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019915327417661225, + "loss": 0.9014, + "step": 365 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019914516374425429, + "loss": 0.8719, + "step": 366 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019913701482033008, + "loss": 0.9233, + "step": 367 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019912882740800333, + "loss": 0.8855, + "step": 368 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001991206015104527, + "loss": 0.8965, + "step": 369 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001991123371308717, + "loss": 0.9089, + "step": 370 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019910403427246895, + "loss": 0.9546, + "step": 371 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001990956929384678, + "loss": 0.9199, + "step": 372 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001990873131321067, + "loss": 0.9067, + "step": 373 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019907889485663895, + "loss": 0.8865, + "step": 374 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019907043811533283, + "loss": 0.9202, + "step": 375 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019906194291147156, + "loss": 0.8845, + "step": 376 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019905340924835323, + "loss": 0.8867, + "step": 377 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019904483712929094, + "loss": 0.9412, + "step": 378 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019903622655761266, + "loss": 0.8591, + "step": 379 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001990275775366613, + "loss": 0.9077, + "step": 380 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019901889006979472, + "loss": 0.8979, + "step": 381 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001990101641603857, + "loss": 0.9138, + "step": 382 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019900139981182194, + "loss": 0.8848, + "step": 383 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019899259702750604, + "loss": 0.8813, + "step": 384 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019898375581085557, + "loss": 0.8862, + "step": 385 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019897487616530297, + "loss": 0.9031, + "step": 386 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019896595809429566, + "loss": 0.9258, + "step": 387 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001989570016012959, + "loss": 0.9084, + "step": 388 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019894800668978095, + "loss": 0.8884, + "step": 389 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001989389733632429, + "loss": 0.9243, + "step": 390 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019892990162518882, + "loss": 0.9348, + "step": 391 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019892079147914072, + "loss": 0.9243, + "step": 392 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019891164292863537, + "loss": 0.9343, + "step": 393 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019890245597722463, + "loss": 0.8966, + "step": 394 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019889323062847515, + "loss": 0.9424, + "step": 395 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001988839668859686, + "loss": 0.9041, + "step": 396 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019887466475330138, + "loss": 0.9358, + "step": 397 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019886532423408495, + "loss": 0.8796, + "step": 398 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019885594533194562, + "loss": 0.9397, + "step": 399 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019884652805052464, + "loss": 0.9268, + "step": 400 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019883707239347803, + "loss": 0.8513, + "step": 401 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001988275783644769, + "loss": 0.8855, + "step": 402 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001988180459672071, + "loss": 0.895, + "step": 403 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019880847520536946, + "loss": 0.9417, + "step": 404 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019879886608267967, + "loss": 0.9067, + "step": 405 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001987892186028683, + "loss": 0.938, + "step": 406 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019877953276968086, + "loss": 0.9353, + "step": 407 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019876980858687775, + "loss": 0.8748, + "step": 408 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019876004605823419, + "loss": 0.8679, + "step": 409 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001987502451875403, + "loss": 0.2799, + "step": 410 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001987404059786012, + "loss": 0.289, + "step": 411 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019873052843523677, + "loss": 0.8762, + "step": 412 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001987206125612818, + "loss": 0.9111, + "step": 413 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019871065836058596, + "loss": 0.9058, + "step": 414 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019870066583701387, + "loss": 0.9092, + "step": 415 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019869063499444495, + "loss": 0.855, + "step": 416 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019868056583677345, + "loss": 0.9392, + "step": 417 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019867045836790867, + "loss": 0.9333, + "step": 418 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019866031259177462, + "loss": 0.8779, + "step": 419 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019865012851231023, + "loss": 0.9309, + "step": 420 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019863990613346933, + "loss": 0.9219, + "step": 421 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001986296454592206, + "loss": 0.9312, + "step": 422 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019861934649354762, + "loss": 0.9087, + "step": 423 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019860900924044872, + "loss": 0.9385, + "step": 424 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019859863370393725, + "loss": 0.8926, + "step": 425 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019858821988804132, + "loss": 0.8113, + "step": 426 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019857776779680394, + "loss": 0.9358, + "step": 427 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019856727743428296, + "loss": 0.887, + "step": 428 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019855674880455112, + "loss": 0.9102, + "step": 429 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019854618191169599, + "loss": 0.8877, + "step": 430 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019853557675982, + "loss": 0.9578, + "step": 431 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001985249333530404, + "loss": 0.9041, + "step": 432 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019851425169548938, + "loss": 0.8508, + "step": 433 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001985035317913139, + "loss": 0.8428, + "step": 434 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001984927736446758, + "loss": 0.3389, + "step": 435 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001984819772597518, + "loss": 0.3084, + "step": 436 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019847114264073338, + "loss": 0.8809, + "step": 437 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001984602697918269, + "loss": 0.9092, + "step": 438 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001984493587172536, + "loss": 0.9248, + "step": 439 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019843840942124956, + "loss": 0.8965, + "step": 440 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019842742190806566, + "loss": 0.8606, + "step": 441 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019841639618196758, + "loss": 0.9517, + "step": 442 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019840533224723593, + "loss": 0.8877, + "step": 443 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019839423010816615, + "loss": 0.9128, + "step": 444 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001983830897690684, + "loss": 0.908, + "step": 445 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019837191123426776, + "loss": 0.9297, + "step": 446 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019836069450810418, + "loss": 0.9121, + "step": 447 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001983494395949323, + "loss": 0.9331, + "step": 448 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001983381464991217, + "loss": 0.9141, + "step": 449 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019832681522505676, + "loss": 0.9043, + "step": 450 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019831544577713663, + "loss": 0.8525, + "step": 451 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001983040381597754, + "loss": 0.9585, + "step": 452 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019829259237740177, + "loss": 0.9253, + "step": 453 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019828110843445954, + "loss": 0.8291, + "step": 454 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019826958633540706, + "loss": 0.864, + "step": 455 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019825802608471765, + "loss": 0.8962, + "step": 456 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001982464276868794, + "loss": 0.8533, + "step": 457 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001982347911463952, + "loss": 0.9326, + "step": 458 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019822311646778277, + "loss": 0.9263, + "step": 459 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019821140365557457, + "loss": 0.8862, + "step": 460 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019819965271431796, + "loss": 0.8906, + "step": 461 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019818786364857505, + "loss": 0.8521, + "step": 462 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019817603646292276, + "loss": 0.8979, + "step": 463 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019816417116195285, + "loss": 0.9126, + "step": 464 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001981522677502718, + "loss": 0.859, + "step": 465 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019814032623250092, + "loss": 0.9004, + "step": 466 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001981283466132763, + "loss": 0.9695, + "step": 467 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019811632889724887, + "loss": 0.8478, + "step": 468 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019810427308908436, + "loss": 0.8408, + "step": 469 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019809217919346315, + "loss": 0.8328, + "step": 470 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001980800472150806, + "loss": 0.8301, + "step": 471 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019806787715864673, + "loss": 0.9663, + "step": 472 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019805566902888634, + "loss": 0.9055, + "step": 473 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019804342283053915, + "loss": 0.9392, + "step": 474 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019803113856835938, + "loss": 0.9172, + "step": 475 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019801881624711637, + "loss": 0.9683, + "step": 476 + }, + { + "epoch": 0.09, + "learning_rate": 0.000198006455871594, + "loss": 0.9082, + "step": 477 + }, + { + "epoch": 0.09, + "learning_rate": 0.000197994057446591, + "loss": 0.9014, + "step": 478 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019798162097692089, + "loss": 0.844, + "step": 479 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019796914646741186, + "loss": 0.8979, + "step": 480 + }, + { + "epoch": 0.09, + "learning_rate": 0.000197956633922907, + "loss": 0.8506, + "step": 481 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019794408334826414, + "loss": 0.8776, + "step": 482 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001979314947483558, + "loss": 0.8352, + "step": 483 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001979188681280693, + "loss": 0.9214, + "step": 484 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019790620349230674, + "loss": 0.9463, + "step": 485 + }, + { + "epoch": 0.09, + "learning_rate": 0.000197893500845985, + "loss": 0.8682, + "step": 486 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019788076019403565, + "loss": 0.8999, + "step": 487 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019786798154140507, + "loss": 0.8364, + "step": 488 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019785516489305435, + "loss": 0.9453, + "step": 489 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019784231025395937, + "loss": 0.395, + "step": 490 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019782941762911074, + "loss": 0.9045, + "step": 491 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019781648702351382, + "loss": 0.9019, + "step": 492 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001978035184421887, + "loss": 0.9182, + "step": 493 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001977905118901703, + "loss": 0.9197, + "step": 494 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019777746737250807, + "loss": 0.8865, + "step": 495 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001977643848942665, + "loss": 0.8723, + "step": 496 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019775126446052458, + "loss": 0.3273, + "step": 497 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001977381060763761, + "loss": 0.8708, + "step": 498 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019772490974692962, + "loss": 0.8721, + "step": 499 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019771167547730844, + "loss": 0.8936, + "step": 500 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001976984032726505, + "loss": 0.9412, + "step": 501 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001976850931381086, + "loss": 0.9299, + "step": 502 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019767174507885008, + "loss": 0.9163, + "step": 503 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019765835910005722, + "loss": 0.8875, + "step": 504 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019764493520692687, + "loss": 0.8464, + "step": 505 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019763147340467067, + "loss": 0.853, + "step": 506 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019761797369851497, + "loss": 0.9778, + "step": 507 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019760443609370074, + "loss": 0.8367, + "step": 508 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019759086059548383, + "loss": 0.8718, + "step": 509 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019757724720913467, + "loss": 0.8755, + "step": 510 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019756359593993845, + "loss": 0.9292, + "step": 511 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001975499067931951, + "loss": 0.8811, + "step": 512 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001975361797742192, + "loss": 0.3101, + "step": 513 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019752241488834002, + "loss": 0.947, + "step": 514 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001975086121409016, + "loss": 0.9167, + "step": 515 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001974947715372626, + "loss": 0.9021, + "step": 516 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019748089308279648, + "loss": 0.8361, + "step": 517 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001974669767828913, + "loss": 0.8503, + "step": 518 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001974530226429498, + "loss": 0.8882, + "step": 519 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019743903066838953, + "loss": 0.8999, + "step": 520 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019742500086464263, + "loss": 0.8962, + "step": 521 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019741093323715595, + "loss": 0.9241, + "step": 522 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019739682779139106, + "loss": 0.3688, + "step": 523 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001973826845328241, + "loss": 0.9177, + "step": 524 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001973685034669461, + "loss": 0.8789, + "step": 525 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019735428459926249, + "loss": 0.9102, + "step": 526 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001973400279352936, + "loss": 0.9148, + "step": 527 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019732573348057436, + "loss": 0.8635, + "step": 528 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019731140124065437, + "loss": 0.8542, + "step": 529 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019729703122109787, + "loss": 0.938, + "step": 530 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019728262342748383, + "loss": 0.8928, + "step": 531 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019726817786540584, + "loss": 0.8386, + "step": 532 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019725369454047214, + "loss": 0.9136, + "step": 533 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019723917345830568, + "loss": 0.8992, + "step": 534 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019722461462454404, + "loss": 0.9404, + "step": 535 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019721001804483948, + "loss": 0.8589, + "step": 536 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019719538372485885, + "loss": 0.8921, + "step": 537 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019718071167028375, + "loss": 0.9631, + "step": 538 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019716600188681037, + "loss": 0.8569, + "step": 539 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019715125438014947, + "loss": 0.8831, + "step": 540 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019713646915602663, + "loss": 0.8987, + "step": 541 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019712164622018197, + "loss": 0.9204, + "step": 542 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019710678557837024, + "loss": 0.8647, + "step": 543 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019709188723636086, + "loss": 0.8503, + "step": 544 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019707695119993793, + "loss": 0.8987, + "step": 545 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019706197747490001, + "loss": 0.8782, + "step": 546 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019704696606706053, + "loss": 0.8743, + "step": 547 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019703191698224742, + "loss": 0.8623, + "step": 548 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001970168302263032, + "loss": 0.9177, + "step": 549 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019700170580508512, + "loss": 0.9138, + "step": 550 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019698654372446493, + "loss": 0.9297, + "step": 551 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001969713439903292, + "loss": 0.9153, + "step": 552 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019695610660857887, + "loss": 0.8796, + "step": 553 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019694083158512964, + "loss": 0.8894, + "step": 554 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019692551892591185, + "loss": 0.9272, + "step": 555 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019691016863687035, + "loss": 0.9231, + "step": 556 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019689478072396467, + "loss": 0.9248, + "step": 557 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019687935519316897, + "loss": 0.8452, + "step": 558 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019686389205047188, + "loss": 0.8677, + "step": 559 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001968483913018768, + "loss": 0.8682, + "step": 560 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001968328529534016, + "loss": 0.9131, + "step": 561 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019681727701107885, + "loss": 0.8431, + "step": 562 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019680166348095564, + "loss": 0.8701, + "step": 563 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019678601236909371, + "loss": 0.8575, + "step": 564 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019677032368156931, + "loss": 0.8516, + "step": 565 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019675459742447338, + "loss": 0.8704, + "step": 566 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019673883360391136, + "loss": 0.8801, + "step": 567 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019672303222600333, + "loss": 0.9387, + "step": 568 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019670719329688388, + "loss": 0.9016, + "step": 569 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001966913168227023, + "loss": 0.9346, + "step": 570 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019667540280962235, + "loss": 0.8096, + "step": 571 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001966594512638224, + "loss": 0.8234, + "step": 572 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001966434621914954, + "loss": 0.9094, + "step": 573 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001966274355988488, + "loss": 0.8857, + "step": 574 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019661137149210473, + "loss": 0.8481, + "step": 575 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019659526987749986, + "loss": 0.8904, + "step": 576 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019657913076128532, + "loss": 0.3234, + "step": 577 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001965629541497269, + "loss": 0.3547, + "step": 578 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019654674004910492, + "loss": 0.8792, + "step": 579 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019653048846571426, + "loss": 0.8748, + "step": 580 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019651419940586436, + "loss": 0.9282, + "step": 581 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019649787287587912, + "loss": 0.8821, + "step": 582 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019648150888209714, + "loss": 0.9197, + "step": 583 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019646510743087143, + "loss": 0.9214, + "step": 584 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019644866852856966, + "loss": 0.9382, + "step": 585 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019643219218157392, + "loss": 0.8728, + "step": 586 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019641567839628093, + "loss": 0.8884, + "step": 587 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001963991271791019, + "loss": 0.8987, + "step": 588 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019638253853646257, + "loss": 0.8979, + "step": 589 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019636591247480323, + "loss": 0.8469, + "step": 590 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019634924900057866, + "loss": 0.9065, + "step": 591 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001963325481202583, + "loss": 0.3423, + "step": 592 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001963158098403259, + "loss": 0.8816, + "step": 593 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019629903416727986, + "loss": 0.8619, + "step": 594 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001962822211076331, + "loss": 0.8503, + "step": 595 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019626537066791297, + "loss": 0.8447, + "step": 596 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019624848285466147, + "loss": 0.8896, + "step": 597 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019623155767443498, + "loss": 0.8535, + "step": 598 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019621459513380444, + "loss": 0.8662, + "step": 599 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019619759523935532, + "loss": 0.8684, + "step": 600 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019618055799768756, + "loss": 0.9297, + "step": 601 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019616348341541557, + "loss": 0.8193, + "step": 602 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019614637149916836, + "loss": 0.8699, + "step": 603 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019612922225558925, + "loss": 0.8719, + "step": 604 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019611203569133627, + "loss": 0.8955, + "step": 605 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019609481181308177, + "loss": 0.8882, + "step": 606 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019607755062751273, + "loss": 0.9277, + "step": 607 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019606025214133046, + "loss": 0.8838, + "step": 608 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019604291636125085, + "loss": 0.3339, + "step": 609 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019602554329400428, + "loss": 0.3107, + "step": 610 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019600813294633554, + "loss": 0.8386, + "step": 611 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019599068532500394, + "loss": 0.8208, + "step": 612 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019597320043678322, + "loss": 0.8516, + "step": 613 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019595567828846163, + "loss": 0.9041, + "step": 614 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001959381188868419, + "loss": 0.8672, + "step": 615 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019592052223874117, + "loss": 0.8799, + "step": 616 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019590288835099107, + "loss": 0.8711, + "step": 617 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019588521723043766, + "loss": 0.8872, + "step": 618 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001958675088839415, + "loss": 0.8708, + "step": 619 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019584976331837758, + "loss": 0.8865, + "step": 620 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019583198054063533, + "loss": 0.8674, + "step": 621 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019581416055761865, + "loss": 0.896, + "step": 622 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019579630337624587, + "loss": 0.8794, + "step": 623 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019577840900344976, + "loss": 0.9524, + "step": 624 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019576047744617752, + "loss": 0.9121, + "step": 625 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001957425087113908, + "loss": 0.8872, + "step": 626 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001957245028060657, + "loss": 0.8026, + "step": 627 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001957064597371927, + "loss": 0.9185, + "step": 628 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019568837951177676, + "loss": 0.8564, + "step": 629 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019567026213683725, + "loss": 0.8691, + "step": 630 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019565210761940798, + "loss": 0.885, + "step": 631 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019563391596653712, + "loss": 0.9006, + "step": 632 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001956156871852873, + "loss": 0.9097, + "step": 633 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019559742128273558, + "loss": 0.9075, + "step": 634 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019557911826597338, + "loss": 0.8894, + "step": 635 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001955607781421066, + "loss": 0.8484, + "step": 636 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019554240091825548, + "loss": 0.8652, + "step": 637 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001955239866015547, + "loss": 0.8694, + "step": 638 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019550553519915337, + "loss": 0.8037, + "step": 639 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019548704671821493, + "loss": 0.8599, + "step": 640 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001954685211659172, + "loss": 0.8967, + "step": 641 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019544995854945248, + "loss": 0.8542, + "step": 642 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001954313588760274, + "loss": 0.896, + "step": 643 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019541272215286304, + "loss": 0.8867, + "step": 644 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019539404838719477, + "loss": 0.8203, + "step": 645 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001953753375862724, + "loss": 0.8501, + "step": 646 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001953565897573601, + "loss": 0.8301, + "step": 647 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019533780490773643, + "loss": 0.8965, + "step": 648 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019531898304469433, + "loss": 0.8472, + "step": 649 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001953001241755411, + "loss": 0.7828, + "step": 650 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001952812283075984, + "loss": 0.8533, + "step": 651 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019526229544820217, + "loss": 0.8994, + "step": 652 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019524332560470292, + "loss": 0.8818, + "step": 653 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019522431878446535, + "loss": 0.9468, + "step": 654 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019520527499486856, + "loss": 0.8687, + "step": 655 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019518619424330598, + "loss": 0.9468, + "step": 656 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019516707653718544, + "loss": 0.3445, + "step": 657 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019514792188392912, + "loss": 0.8647, + "step": 658 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019512873029097345, + "loss": 0.825, + "step": 659 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019510950176576932, + "loss": 0.8733, + "step": 660 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001950902363157819, + "loss": 0.8599, + "step": 661 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019507093394849066, + "loss": 0.8724, + "step": 662 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001950515946713895, + "loss": 0.821, + "step": 663 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019503221849198656, + "loss": 0.9004, + "step": 664 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019501280541780433, + "loss": 0.8464, + "step": 665 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019499335545637966, + "loss": 0.8735, + "step": 666 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001949738686152637, + "loss": 0.8718, + "step": 667 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019495434490202188, + "loss": 0.9221, + "step": 668 + }, + { + "epoch": 0.13, + "learning_rate": 0.000194934784324234, + "loss": 0.8342, + "step": 669 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019491518688949416, + "loss": 0.9189, + "step": 670 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019489555260541073, + "loss": 0.8093, + "step": 671 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001948758814796064, + "loss": 0.8364, + "step": 672 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019485617351971827, + "loss": 0.9026, + "step": 673 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019483642873339751, + "loss": 0.3491, + "step": 674 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019481664712830984, + "loss": 0.8035, + "step": 675 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019479682871213514, + "loss": 0.8469, + "step": 676 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019477697349256756, + "loss": 0.3552, + "step": 677 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001947570814773156, + "loss": 0.8887, + "step": 678 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019473715267410207, + "loss": 0.854, + "step": 679 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019471718709066394, + "loss": 0.3251, + "step": 680 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019469718473475256, + "loss": 0.9128, + "step": 681 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019467714561413358, + "loss": 0.9216, + "step": 682 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019465706973658683, + "loss": 0.918, + "step": 683 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019463695710990645, + "loss": 0.9199, + "step": 684 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019461680774190092, + "loss": 0.8918, + "step": 685 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019459662164039284, + "loss": 0.8757, + "step": 686 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019457639881321917, + "loss": 0.8926, + "step": 687 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019455613926823114, + "loss": 0.8824, + "step": 688 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001945358430132942, + "loss": 0.9067, + "step": 689 + }, + { + "epoch": 0.13, + "learning_rate": 0.000194515510056288, + "loss": 0.875, + "step": 690 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019449514040510655, + "loss": 0.9199, + "step": 691 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019447473406765804, + "loss": 0.3142, + "step": 692 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019445429105186487, + "loss": 0.8701, + "step": 693 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001944338113656638, + "loss": 0.8606, + "step": 694 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019441329501700567, + "loss": 0.8633, + "step": 695 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019439274201385568, + "loss": 0.8582, + "step": 696 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001943721523641932, + "loss": 0.8606, + "step": 697 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019435152607601188, + "loss": 0.8806, + "step": 698 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001943308631573195, + "loss": 0.874, + "step": 699 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019431016361613814, + "loss": 0.8782, + "step": 700 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019428942746050406, + "loss": 0.8723, + "step": 701 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019426865469846774, + "loss": 0.8926, + "step": 702 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019424784533809392, + "loss": 0.301, + "step": 703 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019422699938746152, + "loss": 0.8911, + "step": 704 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019420611685466358, + "loss": 0.8943, + "step": 705 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019418519774780748, + "loss": 0.9265, + "step": 706 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019416424207501474, + "loss": 0.8665, + "step": 707 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019414324984442103, + "loss": 0.8574, + "step": 708 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001941222210641763, + "loss": 0.8486, + "step": 709 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019410115574244462, + "loss": 0.7953, + "step": 710 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019408005388740432, + "loss": 0.8788, + "step": 711 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019405891550724778, + "loss": 0.8668, + "step": 712 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019403774061018173, + "loss": 0.8916, + "step": 713 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019401652920442692, + "loss": 0.8938, + "step": 714 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019399528129821842, + "loss": 0.8743, + "step": 715 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001939739968998054, + "loss": 0.9658, + "step": 716 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001939526760174511, + "loss": 0.8777, + "step": 717 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001939313186594331, + "loss": 0.9163, + "step": 718 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019390992483404306, + "loss": 0.9253, + "step": 719 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001938884945495868, + "loss": 0.8262, + "step": 720 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019386702781438425, + "loss": 0.8896, + "step": 721 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001938455246367696, + "loss": 0.8843, + "step": 722 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019382398502509107, + "loss": 0.9314, + "step": 723 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001938024089877111, + "loss": 0.8396, + "step": 724 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019378079653300625, + "loss": 0.8723, + "step": 725 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001937591476693672, + "loss": 0.8821, + "step": 726 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019373746240519883, + "loss": 0.8547, + "step": 727 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019371574074892006, + "loss": 0.9102, + "step": 728 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019369398270896403, + "loss": 0.8933, + "step": 729 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001936721882937779, + "loss": 0.8582, + "step": 730 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001936503575118231, + "loss": 0.2961, + "step": 731 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019362849037157497, + "loss": 0.8706, + "step": 732 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001936065868815232, + "loss": 0.8848, + "step": 733 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019358464705017143, + "loss": 0.9031, + "step": 734 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019356267088603744, + "loss": 0.838, + "step": 735 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019354065839765315, + "loss": 0.8955, + "step": 736 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001935186095935646, + "loss": 0.8159, + "step": 737 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019349652448233187, + "loss": 0.8953, + "step": 738 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019347440307252911, + "loss": 0.8442, + "step": 739 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001934522453727447, + "loss": 0.8892, + "step": 740 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019343005139158096, + "loss": 0.8689, + "step": 741 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019340782113765439, + "loss": 0.856, + "step": 742 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019338555461959552, + "loss": 0.8787, + "step": 743 + }, + { + "epoch": 0.14, + "learning_rate": 0.000193363251846049, + "loss": 0.8784, + "step": 744 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019334091282567352, + "loss": 0.8801, + "step": 745 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019331853756714184, + "loss": 0.8684, + "step": 746 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019329612607914086, + "loss": 0.9033, + "step": 747 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019327367837037142, + "loss": 0.8723, + "step": 748 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019325119444954855, + "loss": 0.3126, + "step": 749 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019322867432540125, + "loss": 0.2981, + "step": 750 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019320611800667265, + "loss": 0.8894, + "step": 751 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019318352550211986, + "loss": 0.8948, + "step": 752 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019316089682051404, + "loss": 0.8817, + "step": 753 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019313823197064043, + "loss": 0.8129, + "step": 754 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019311553096129836, + "loss": 0.8826, + "step": 755 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001930927938013011, + "loss": 0.8748, + "step": 756 + }, + { + "epoch": 0.15, + "learning_rate": 0.000193070020499476, + "loss": 0.8887, + "step": 757 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019304721106466448, + "loss": 0.9619, + "step": 758 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019302436550572188, + "loss": 0.9275, + "step": 759 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019300148383151767, + "loss": 0.8779, + "step": 760 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019297856605093533, + "loss": 0.9075, + "step": 761 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019295561217287226, + "loss": 0.8528, + "step": 762 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019293262220624002, + "loss": 0.8435, + "step": 763 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019290959615996407, + "loss": 0.9114, + "step": 764 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001928865340429839, + "loss": 0.8718, + "step": 765 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019286343586425307, + "loss": 0.8973, + "step": 766 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019284030163273905, + "loss": 0.8192, + "step": 767 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019281713135742333, + "loss": 0.8766, + "step": 768 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019279392504730145, + "loss": 0.8734, + "step": 769 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019277068271138288, + "loss": 0.8475, + "step": 770 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019274740435869106, + "loss": 0.938, + "step": 771 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001927240899982635, + "loss": 0.8523, + "step": 772 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019270073963915162, + "loss": 0.8643, + "step": 773 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019267735329042086, + "loss": 0.887, + "step": 774 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019265393096115055, + "loss": 0.9155, + "step": 775 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019263047266043407, + "loss": 0.8655, + "step": 776 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019260697839737875, + "loss": 0.8381, + "step": 777 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019258344818110588, + "loss": 0.8882, + "step": 778 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019255988202075065, + "loss": 0.8262, + "step": 779 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001925362799254623, + "loss": 0.9011, + "step": 780 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019251264190440397, + "loss": 0.8242, + "step": 781 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019248896796675275, + "loss": 0.8799, + "step": 782 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001924652581216997, + "loss": 0.8369, + "step": 783 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019244151237844974, + "loss": 0.885, + "step": 784 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019241773074622182, + "loss": 0.8689, + "step": 785 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019239391323424881, + "loss": 0.8521, + "step": 786 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019237005985177748, + "loss": 0.9075, + "step": 787 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019234617060806848, + "loss": 0.7673, + "step": 788 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001923222455123965, + "loss": 0.8029, + "step": 789 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019229828457405007, + "loss": 0.3447, + "step": 790 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019227428780233165, + "loss": 0.896, + "step": 791 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019225025520655758, + "loss": 0.3647, + "step": 792 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001922261867960582, + "loss": 0.9297, + "step": 793 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019220208258017763, + "loss": 0.3006, + "step": 794 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019217794256827403, + "loss": 0.8767, + "step": 795 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001921537667697193, + "loss": 0.8745, + "step": 796 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001921295551938994, + "loss": 0.8955, + "step": 797 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019210530785021405, + "loss": 0.8984, + "step": 798 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001920810247480769, + "loss": 0.9084, + "step": 799 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001920567058969155, + "loss": 0.8145, + "step": 800 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001920323513061713, + "loss": 0.895, + "step": 801 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019200796098529956, + "loss": 0.8307, + "step": 802 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019198353494376938, + "loss": 0.8142, + "step": 803 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019195907319106392, + "loss": 0.833, + "step": 804 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019193457573667995, + "loss": 0.8848, + "step": 805 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001919100425901283, + "loss": 0.813, + "step": 806 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019188547376093354, + "loss": 0.7932, + "step": 807 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001918608692586342, + "loss": 0.9404, + "step": 808 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001918362290927825, + "loss": 0.8708, + "step": 809 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001918115532729447, + "loss": 0.848, + "step": 810 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019178684180870073, + "loss": 0.8762, + "step": 811 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019176209470964445, + "loss": 0.8423, + "step": 812 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019173731198538353, + "loss": 0.8867, + "step": 813 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019171249364553954, + "loss": 0.8196, + "step": 814 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019168763969974772, + "loss": 0.8721, + "step": 815 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001916627501576573, + "loss": 0.8857, + "step": 816 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001916378250289312, + "loss": 0.8474, + "step": 817 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019161286432324624, + "loss": 0.9119, + "step": 818 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019158786805029306, + "loss": 0.885, + "step": 819 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019156283621977603, + "loss": 0.8904, + "step": 820 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019153776884141336, + "loss": 0.8667, + "step": 821 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019151266592493712, + "loss": 0.8486, + "step": 822 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019148752748009306, + "loss": 0.8323, + "step": 823 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001914623535166408, + "loss": 0.8857, + "step": 824 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019143714404435381, + "loss": 0.9167, + "step": 825 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019141189907301921, + "loss": 0.8994, + "step": 826 + }, + { + "epoch": 0.16, + "learning_rate": 0.000191386618612438, + "loss": 0.9216, + "step": 827 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019136130267242488, + "loss": 0.8408, + "step": 828 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019133595126280846, + "loss": 0.8806, + "step": 829 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019131056439343093, + "loss": 0.8413, + "step": 830 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001912851420741484, + "loss": 0.8564, + "step": 831 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019125968431483065, + "loss": 0.8411, + "step": 832 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001912341911253613, + "loss": 0.8042, + "step": 833 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001912086625156377, + "loss": 0.8894, + "step": 834 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019118309849557087, + "loss": 0.9348, + "step": 835 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001911574990750857, + "loss": 0.8279, + "step": 836 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019113186426412073, + "loss": 0.8867, + "step": 837 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001911061940726283, + "loss": 0.8723, + "step": 838 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019108048851057446, + "loss": 0.3297, + "step": 839 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019105474758793895, + "loss": 0.8997, + "step": 840 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019102897131471536, + "loss": 0.8672, + "step": 841 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019100315970091086, + "loss": 0.9012, + "step": 842 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019097731275654643, + "loss": 0.8467, + "step": 843 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019095143049165678, + "loss": 0.8691, + "step": 844 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019092551291629027, + "loss": 0.8557, + "step": 845 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019089956004050894, + "loss": 0.8823, + "step": 846 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019087357187438868, + "loss": 0.3196, + "step": 847 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001908475484280189, + "loss": 0.3181, + "step": 848 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001908214897115029, + "loss": 0.9148, + "step": 849 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019079539573495748, + "loss": 0.8867, + "step": 850 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001907692665085133, + "loss": 0.8398, + "step": 851 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019074310204231457, + "loss": 0.9031, + "step": 852 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001907169023465192, + "loss": 0.8928, + "step": 853 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019069066743129893, + "loss": 0.9058, + "step": 854 + }, + { + "epoch": 0.16, + "learning_rate": 0.000190664397306839, + "loss": 0.7695, + "step": 855 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019063809198333832, + "loss": 0.8542, + "step": 856 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001906117514710096, + "loss": 0.8391, + "step": 857 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019058537578007907, + "loss": 0.8674, + "step": 858 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019055896492078676, + "loss": 0.9148, + "step": 859 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001905325189033862, + "loss": 0.8706, + "step": 860 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019050603773814468, + "loss": 0.8462, + "step": 861 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001904795214353431, + "loss": 0.8792, + "step": 862 + }, + { + "epoch": 0.17, + "learning_rate": 0.000190452970005276, + "loss": 0.9458, + "step": 863 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019042638345825156, + "loss": 0.8374, + "step": 864 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019039976180459158, + "loss": 0.9075, + "step": 865 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019037310505463153, + "loss": 0.873, + "step": 866 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019034641321872045, + "loss": 0.2896, + "step": 867 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019031968630722103, + "loss": 0.886, + "step": 868 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001902929243305096, + "loss": 0.8884, + "step": 869 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019026612729897607, + "loss": 0.8555, + "step": 870 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019023929522302396, + "loss": 0.8552, + "step": 871 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019021242811307043, + "loss": 0.8431, + "step": 872 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001901855259795462, + "loss": 0.8264, + "step": 873 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019015858883289556, + "loss": 0.7719, + "step": 874 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019013161668357653, + "loss": 0.8505, + "step": 875 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019010460954206056, + "loss": 0.8462, + "step": 876 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019007756741883282, + "loss": 0.8289, + "step": 877 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001900504903243919, + "loss": 0.8572, + "step": 878 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019002337826925012, + "loss": 0.8713, + "step": 879 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001899962312639333, + "loss": 0.8721, + "step": 880 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018996904931898082, + "loss": 0.8557, + "step": 881 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001899418324449457, + "loss": 0.3129, + "step": 882 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018991458065239445, + "loss": 0.8203, + "step": 883 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001898872939519071, + "loss": 0.884, + "step": 884 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018985997235407734, + "loss": 0.8923, + "step": 885 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018983261586951237, + "loss": 0.8801, + "step": 886 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018980522450883286, + "loss": 0.9131, + "step": 887 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018977779828267311, + "loss": 0.8335, + "step": 888 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018975033720168094, + "loss": 0.9009, + "step": 889 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018972284127651768, + "loss": 0.8179, + "step": 890 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018969531051785818, + "loss": 0.8572, + "step": 891 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018966774493639084, + "loss": 0.8733, + "step": 892 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018964014454281758, + "loss": 0.8884, + "step": 893 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018961250934785377, + "loss": 0.937, + "step": 894 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018958483936222842, + "loss": 0.7991, + "step": 895 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001895571345966839, + "loss": 0.8396, + "step": 896 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001895293950619762, + "loss": 0.8354, + "step": 897 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018950162076887477, + "loss": 0.3253, + "step": 898 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018947381172816248, + "loss": 0.8453, + "step": 899 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018944596795063582, + "loss": 0.8447, + "step": 900 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001894180894471047, + "loss": 0.8718, + "step": 901 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018939017622839253, + "loss": 0.8748, + "step": 902 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001893622283053361, + "loss": 0.8657, + "step": 903 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018933424568878584, + "loss": 0.8508, + "step": 904 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018930622838960555, + "loss": 0.8521, + "step": 905 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018927817641867245, + "loss": 0.9143, + "step": 906 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018925008978687736, + "loss": 0.8809, + "step": 907 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018922196850512446, + "loss": 0.823, + "step": 908 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018919381258433133, + "loss": 0.3397, + "step": 909 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018916562203542917, + "loss": 0.9004, + "step": 910 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018913739686936246, + "loss": 0.8792, + "step": 911 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018910913709708918, + "loss": 0.8668, + "step": 912 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018908084272958078, + "loss": 0.9001, + "step": 913 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018905251377782206, + "loss": 0.8523, + "step": 914 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018902415025281134, + "loss": 0.8384, + "step": 915 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018899575216556032, + "loss": 0.9016, + "step": 916 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018896731952709408, + "loss": 0.8569, + "step": 917 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018893885234845116, + "loss": 0.8358, + "step": 918 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001889103506406835, + "loss": 0.8884, + "step": 919 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018888181441485647, + "loss": 0.8569, + "step": 920 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001888532436820488, + "loss": 0.8696, + "step": 921 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001888246384533526, + "loss": 0.7944, + "step": 922 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018879599873987345, + "loss": 0.814, + "step": 923 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018876732455273024, + "loss": 0.8318, + "step": 924 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018873861590305526, + "loss": 0.8335, + "step": 925 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018870987280199426, + "loss": 0.8706, + "step": 926 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018868109526070628, + "loss": 0.347, + "step": 927 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018865228329036372, + "loss": 0.8943, + "step": 928 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001886234369021524, + "loss": 0.8378, + "step": 929 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001885945561072715, + "loss": 0.9043, + "step": 930 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001885656409169335, + "loss": 0.8595, + "step": 931 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001885366913423643, + "loss": 0.8389, + "step": 932 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001885077073948031, + "loss": 0.8916, + "step": 933 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001884786890855025, + "loss": 0.907, + "step": 934 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018844963642572837, + "loss": 0.8076, + "step": 935 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018842054942675996, + "loss": 0.8345, + "step": 936 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018839142809988987, + "loss": 0.8772, + "step": 937 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018836227245642398, + "loss": 0.8004, + "step": 938 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018833308250768154, + "loss": 0.7991, + "step": 939 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018830385826499506, + "loss": 0.8479, + "step": 940 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001882745997397104, + "loss": 0.8408, + "step": 941 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018824530694318674, + "loss": 0.8533, + "step": 942 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018821597988679658, + "loss": 0.8555, + "step": 943 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001881866185819256, + "loss": 0.8657, + "step": 944 + }, + { + "epoch": 0.18, + "learning_rate": 0.000188157223039973, + "loss": 0.9204, + "step": 945 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018812779327235103, + "loss": 0.8745, + "step": 946 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001880983292904854, + "loss": 0.3369, + "step": 947 + }, + { + "epoch": 0.18, + "learning_rate": 0.000188068831105815, + "loss": 0.8706, + "step": 948 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018803929872979213, + "loss": 0.8667, + "step": 949 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018800973217388215, + "loss": 0.8818, + "step": 950 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001879801314495639, + "loss": 0.8633, + "step": 951 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018795049656832936, + "loss": 0.8735, + "step": 952 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018792082754168386, + "loss": 0.8992, + "step": 953 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018789112438114588, + "loss": 0.8132, + "step": 954 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018786138709824725, + "loss": 0.8047, + "step": 955 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018783161570453297, + "loss": 0.7689, + "step": 956 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001878018102115614, + "loss": 0.8376, + "step": 957 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018777197063090393, + "loss": 0.8518, + "step": 958 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001877420969741454, + "loss": 0.8362, + "step": 959 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001877121892528838, + "loss": 0.8425, + "step": 960 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001876822474787303, + "loss": 0.8638, + "step": 961 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018765227166330935, + "loss": 0.855, + "step": 962 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018762226181825856, + "loss": 0.8633, + "step": 963 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001875922179552288, + "loss": 0.8606, + "step": 964 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018756214008588417, + "loss": 0.9187, + "step": 965 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001875320282219019, + "loss": 0.8906, + "step": 966 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018750188237497245, + "loss": 0.8562, + "step": 967 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001874717025567995, + "loss": 0.8645, + "step": 968 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018744148877909987, + "loss": 0.8054, + "step": 969 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001874112410536036, + "loss": 0.9092, + "step": 970 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001873809593920539, + "loss": 0.9153, + "step": 971 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018735064380620716, + "loss": 0.8057, + "step": 972 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001873202943078329, + "loss": 0.8997, + "step": 973 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018728991090871387, + "loss": 0.3295, + "step": 974 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018725949362064594, + "loss": 0.8445, + "step": 975 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018722904245543816, + "loss": 0.8547, + "step": 976 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001871985574249127, + "loss": 0.9456, + "step": 977 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018716803854090493, + "loss": 0.8616, + "step": 978 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018713748581526332, + "loss": 0.8311, + "step": 979 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018710689925984948, + "loss": 0.8268, + "step": 980 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018707627888653815, + "loss": 0.8362, + "step": 981 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018704562470721727, + "loss": 0.8364, + "step": 982 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018701493673378778, + "loss": 0.8372, + "step": 983 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018698421497816386, + "loss": 0.8398, + "step": 984 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001869534594522727, + "loss": 0.8691, + "step": 985 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018692267016805471, + "loss": 0.8596, + "step": 986 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018689184713746332, + "loss": 0.9143, + "step": 987 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001868609903724651, + "loss": 0.9194, + "step": 988 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001868300998850397, + "loss": 0.8386, + "step": 989 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001867991756871799, + "loss": 0.8752, + "step": 990 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001867682177908915, + "loss": 0.8582, + "step": 991 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001867372262081934, + "loss": 0.9255, + "step": 992 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018670620095111767, + "loss": 0.8196, + "step": 993 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018667514203170936, + "loss": 0.8721, + "step": 994 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018664404946202657, + "loss": 0.7776, + "step": 995 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018661292325414057, + "loss": 0.9241, + "step": 996 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018658176342013557, + "loss": 0.8298, + "step": 997 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001865505699721089, + "loss": 0.8745, + "step": 998 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018651934292217097, + "loss": 0.8303, + "step": 999 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018648808228244516, + "loss": 0.8281, + "step": 1000 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018645678806506795, + "loss": 0.8479, + "step": 1001 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001864254602821888, + "loss": 0.8354, + "step": 1002 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018639409894597025, + "loss": 0.3209, + "step": 1003 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018636270406858786, + "loss": 0.8975, + "step": 1004 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018633127566223021, + "loss": 0.8076, + "step": 1005 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018629981373909885, + "loss": 0.8794, + "step": 1006 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018626831831140844, + "loss": 0.9111, + "step": 1007 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001862367893913865, + "loss": 0.8625, + "step": 1008 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018620522699127373, + "loss": 0.8633, + "step": 1009 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018617363112332375, + "loss": 0.9016, + "step": 1010 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018614200179980307, + "loss": 0.8506, + "step": 1011 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018611033903299134, + "loss": 0.8818, + "step": 1012 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018607864283518114, + "loss": 0.8794, + "step": 1013 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018604691321867805, + "loss": 0.3715, + "step": 1014 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018601515019580053, + "loss": 0.8038, + "step": 1015 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018598335377888013, + "loss": 0.9119, + "step": 1016 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001859515239802613, + "loss": 0.8792, + "step": 1017 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018591966081230144, + "loss": 0.9065, + "step": 1018 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018588776428737097, + "loss": 0.8535, + "step": 1019 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001858558344178532, + "loss": 0.8708, + "step": 1020 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018582387121614437, + "loss": 0.8794, + "step": 1021 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018579187469465377, + "loss": 0.9058, + "step": 1022 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001857598448658035, + "loss": 0.8562, + "step": 1023 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001857277817420287, + "loss": 0.89, + "step": 1024 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018569568533577727, + "loss": 0.8718, + "step": 1025 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018566355565951024, + "loss": 0.936, + "step": 1026 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001856313927257014, + "loss": 0.8317, + "step": 1027 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018559919654683756, + "loss": 0.8573, + "step": 1028 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018556696713541832, + "loss": 0.9429, + "step": 1029 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001855347045039563, + "loss": 0.8875, + "step": 1030 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018550240866497695, + "loss": 0.8992, + "step": 1031 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001854700796310186, + "loss": 0.8721, + "step": 1032 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018543771741463255, + "loss": 0.9055, + "step": 1033 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018540532202838286, + "loss": 0.9172, + "step": 1034 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018537289348484657, + "loss": 0.9241, + "step": 1035 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018534043179661356, + "loss": 0.8596, + "step": 1036 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018530793697628658, + "loss": 0.8687, + "step": 1037 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018527540903648122, + "loss": 0.823, + "step": 1038 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018524284798982594, + "loss": 0.8982, + "step": 1039 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018521025384896208, + "loss": 0.8752, + "step": 1040 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001851776266265438, + "loss": 0.8601, + "step": 1041 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018514496633523813, + "loss": 0.9609, + "step": 1042 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001851122729877249, + "loss": 0.8867, + "step": 1043 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018507954659669677, + "loss": 0.8586, + "step": 1044 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001850467871748593, + "loss": 0.8311, + "step": 1045 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001850139947349308, + "loss": 0.8186, + "step": 1046 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001849811692896424, + "loss": 0.9144, + "step": 1047 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001849483108517381, + "loss": 0.3151, + "step": 1048 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001849154194339747, + "loss": 0.7812, + "step": 1049 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018488249504912174, + "loss": 0.8494, + "step": 1050 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018484953770996163, + "loss": 0.855, + "step": 1051 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018481654742928948, + "loss": 0.9014, + "step": 1052 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018478352421991335, + "loss": 0.9075, + "step": 1053 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001847504680946539, + "loss": 0.8296, + "step": 1054 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001847173790663447, + "loss": 0.3206, + "step": 1055 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018468425714783204, + "loss": 0.8943, + "step": 1056 + }, + { + "epoch": 0.2, + "learning_rate": 0.000184651102351975, + "loss": 0.7976, + "step": 1057 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001846179146916454, + "loss": 0.8799, + "step": 1058 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018458469417972784, + "loss": 0.8866, + "step": 1059 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018455144082911966, + "loss": 0.8457, + "step": 1060 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018451815465273094, + "loss": 0.8799, + "step": 1061 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018448483566348457, + "loss": 0.8894, + "step": 1062 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018445148387431605, + "loss": 0.9099, + "step": 1063 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001844180992981738, + "loss": 0.3201, + "step": 1064 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018438468194801875, + "loss": 0.3289, + "step": 1065 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018435123183682475, + "loss": 0.8718, + "step": 1066 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018431774897757826, + "loss": 0.8977, + "step": 1067 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018428423338327844, + "loss": 0.8416, + "step": 1068 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018425068506693727, + "loss": 0.8501, + "step": 1069 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018421710404157928, + "loss": 0.8555, + "step": 1070 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018418349032024183, + "loss": 0.8557, + "step": 1071 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001841498439159749, + "loss": 0.8564, + "step": 1072 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018411616484184125, + "loss": 0.7893, + "step": 1073 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018408245311091616, + "loss": 0.8918, + "step": 1074 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018404870873628775, + "loss": 0.9067, + "step": 1075 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018401493173105673, + "loss": 0.8794, + "step": 1076 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001839811221083365, + "loss": 0.8098, + "step": 1077 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018394727988125308, + "loss": 0.9221, + "step": 1078 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018391340506294522, + "loss": 0.8242, + "step": 1079 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018387949766656434, + "loss": 0.8936, + "step": 1080 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018384555770527435, + "loss": 0.8477, + "step": 1081 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018381158519225203, + "loss": 0.8994, + "step": 1082 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001837775801406866, + "loss": 0.8796, + "step": 1083 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018374354256378, + "loss": 0.8452, + "step": 1084 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001837094724747468, + "loss": 0.8345, + "step": 1085 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001836753698868142, + "loss": 0.8503, + "step": 1086 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018364123481322197, + "loss": 0.8376, + "step": 1087 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018360706726722252, + "loss": 0.8877, + "step": 1088 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001835728672620809, + "loss": 0.8682, + "step": 1089 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001835386348110747, + "loss": 0.7688, + "step": 1090 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018350436992749418, + "loss": 0.8665, + "step": 1091 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018347007262464206, + "loss": 0.8416, + "step": 1092 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018343574291583383, + "loss": 0.8175, + "step": 1093 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001834013808143974, + "loss": 0.886, + "step": 1094 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018336698633367337, + "loss": 0.8467, + "step": 1095 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018333255948701482, + "loss": 0.835, + "step": 1096 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018329810028778747, + "loss": 0.8186, + "step": 1097 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001832636087493695, + "loss": 0.8267, + "step": 1098 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001832290848851518, + "loss": 0.8628, + "step": 1099 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001831945287085377, + "loss": 0.9224, + "step": 1100 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018315994023294306, + "loss": 0.8579, + "step": 1101 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018312531947179634, + "loss": 0.9265, + "step": 1102 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018309066643853853, + "loss": 0.8613, + "step": 1103 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018305598114662312, + "loss": 0.8389, + "step": 1104 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018302126360951611, + "loss": 0.8784, + "step": 1105 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018298651384069604, + "loss": 0.8618, + "step": 1106 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018295173185365403, + "loss": 0.8997, + "step": 1107 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018291691766189358, + "loss": 0.8511, + "step": 1108 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001828820712789308, + "loss": 0.9185, + "step": 1109 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001828471927182942, + "loss": 0.8589, + "step": 1110 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001828122819935249, + "loss": 0.793, + "step": 1111 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001827773391181764, + "loss": 0.8462, + "step": 1112 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001827423641058148, + "loss": 0.3491, + "step": 1113 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018270735697001848, + "loss": 0.8774, + "step": 1114 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018267231772437853, + "loss": 0.8586, + "step": 1115 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018263724638249834, + "loss": 0.8506, + "step": 1116 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018260214295799383, + "loss": 0.3105, + "step": 1117 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001825670074644933, + "loss": 0.3307, + "step": 1118 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018253183991563768, + "loss": 0.8256, + "step": 1119 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001824966403250801, + "loss": 0.3347, + "step": 1120 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018246140870648633, + "loss": 0.8303, + "step": 1121 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018242614507353445, + "loss": 0.9053, + "step": 1122 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018239084943991505, + "loss": 0.8718, + "step": 1123 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018235552181933108, + "loss": 0.7654, + "step": 1124 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018232016222549796, + "loss": 0.8114, + "step": 1125 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001822847706721435, + "loss": 0.8784, + "step": 1126 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018224934717300792, + "loss": 0.8311, + "step": 1127 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018221389174184386, + "loss": 0.8525, + "step": 1128 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018217840439241633, + "loss": 0.7943, + "step": 1129 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018214288513850266, + "loss": 0.8892, + "step": 1130 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018210733399389277, + "loss": 0.3983, + "step": 1131 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018207175097238878, + "loss": 0.8591, + "step": 1132 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018203613608780523, + "loss": 0.3376, + "step": 1133 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018200048935396908, + "loss": 0.9041, + "step": 1134 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018196481078471962, + "loss": 0.788, + "step": 1135 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018192910039390844, + "loss": 0.8749, + "step": 1136 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001818933581953996, + "loss": 0.8601, + "step": 1137 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018185758420306947, + "loss": 0.8289, + "step": 1138 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001818217784308067, + "loss": 0.8206, + "step": 1139 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001817859408925123, + "loss": 0.8928, + "step": 1140 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018175007160209968, + "loss": 0.865, + "step": 1141 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018171417057349457, + "loss": 0.8596, + "step": 1142 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018167823782063488, + "loss": 0.8422, + "step": 1143 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018164227335747105, + "loss": 0.33, + "step": 1144 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018160627719796568, + "loss": 0.8085, + "step": 1145 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001815702493560937, + "loss": 0.8889, + "step": 1146 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018153418984584238, + "loss": 0.8818, + "step": 1147 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018149809868121125, + "loss": 0.8689, + "step": 1148 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018146197587621217, + "loss": 0.8357, + "step": 1149 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001814258214448692, + "loss": 0.3439, + "step": 1150 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001813896354012188, + "loss": 0.8875, + "step": 1151 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001813534177593096, + "loss": 0.7953, + "step": 1152 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018131716853320254, + "loss": 0.3434, + "step": 1153 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018128088773697085, + "loss": 0.9155, + "step": 1154 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018124457538469996, + "loss": 0.8882, + "step": 1155 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018120823149048754, + "loss": 0.8606, + "step": 1156 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018117185606844358, + "loss": 0.8513, + "step": 1157 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018113544913269026, + "loss": 0.9155, + "step": 1158 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018109901069736202, + "loss": 0.821, + "step": 1159 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018106254077660552, + "loss": 0.8242, + "step": 1160 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001810260393845796, + "loss": 0.9084, + "step": 1161 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001809895065354554, + "loss": 0.3105, + "step": 1162 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018095294224341622, + "loss": 0.3075, + "step": 1163 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018091634652265753, + "loss": 0.9058, + "step": 1164 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018087971938738714, + "loss": 0.8657, + "step": 1165 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018084306085182488, + "loss": 0.8616, + "step": 1166 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018080637093020288, + "loss": 0.8882, + "step": 1167 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001807696496367655, + "loss": 0.8235, + "step": 1168 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018073289698576913, + "loss": 0.8774, + "step": 1169 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018069611299148237, + "loss": 0.3415, + "step": 1170 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018065929766818617, + "loss": 0.8855, + "step": 1171 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001806224510301734, + "loss": 0.9326, + "step": 1172 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018058557309174925, + "loss": 0.8169, + "step": 1173 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018054866386723096, + "loss": 0.8008, + "step": 1174 + }, + { + "epoch": 0.23, + "learning_rate": 0.000180511723370948, + "loss": 0.8074, + "step": 1175 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001804747516172419, + "loss": 0.3314, + "step": 1176 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018043774862046643, + "loss": 0.811, + "step": 1177 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001804007143949874, + "loss": 0.8547, + "step": 1178 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018036364895518273, + "loss": 0.863, + "step": 1179 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018032655231544253, + "loss": 0.8862, + "step": 1180 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018028942449016904, + "loss": 0.8169, + "step": 1181 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018025226549377648, + "loss": 0.8728, + "step": 1182 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001802150753406913, + "loss": 0.8911, + "step": 1183 + }, + { + "epoch": 0.23, + "learning_rate": 0.000180177854045352, + "loss": 0.8467, + "step": 1184 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018014060162220913, + "loss": 0.3282, + "step": 1185 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001801033180857254, + "loss": 0.8428, + "step": 1186 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018006600345037556, + "loss": 0.8997, + "step": 1187 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018002865773064644, + "loss": 0.8059, + "step": 1188 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017999128094103688, + "loss": 0.8828, + "step": 1189 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017995387309605788, + "loss": 0.8293, + "step": 1190 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001799164342102325, + "loss": 0.8821, + "step": 1191 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001798789642980957, + "loss": 0.8406, + "step": 1192 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017984146337419467, + "loss": 0.822, + "step": 1193 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017980393145308857, + "loss": 0.8447, + "step": 1194 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017976636854934852, + "loss": 0.8779, + "step": 1195 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017972877467755776, + "loss": 0.8411, + "step": 1196 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017969114985231152, + "loss": 0.8499, + "step": 1197 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017965349408821709, + "loss": 0.8146, + "step": 1198 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017961580739989365, + "loss": 0.835, + "step": 1199 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001795780898019726, + "loss": 0.8562, + "step": 1200 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017954034130909707, + "loss": 0.8594, + "step": 1201 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017950256193592244, + "loss": 0.7659, + "step": 1202 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017946475169711588, + "loss": 0.3369, + "step": 1203 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017942691060735666, + "loss": 0.8447, + "step": 1204 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017938903868133598, + "loss": 0.8239, + "step": 1205 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017935113593375707, + "loss": 0.897, + "step": 1206 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017931320237933503, + "loss": 0.8879, + "step": 1207 + }, + { + "epoch": 0.23, + "learning_rate": 0.000179275238032797, + "loss": 0.8776, + "step": 1208 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017923724290888206, + "loss": 0.8574, + "step": 1209 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017919921702234118, + "loss": 0.886, + "step": 1210 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001791611603879374, + "loss": 0.8604, + "step": 1211 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017912307302044548, + "loss": 0.8376, + "step": 1212 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017908495493465236, + "loss": 0.9238, + "step": 1213 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017904680614535675, + "loss": 0.8198, + "step": 1214 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017900862666736934, + "loss": 0.8032, + "step": 1215 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001789704165155127, + "loss": 0.8267, + "step": 1216 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017893217570462134, + "loss": 0.3302, + "step": 1217 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017889390424954166, + "loss": 0.9395, + "step": 1218 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017885560216513197, + "loss": 0.8069, + "step": 1219 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017881726946626243, + "loss": 0.8162, + "step": 1220 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017877890616781512, + "loss": 0.8711, + "step": 1221 + }, + { + "epoch": 0.24, + "learning_rate": 0.000178740512284684, + "loss": 0.8259, + "step": 1222 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001787020878317749, + "loss": 0.8374, + "step": 1223 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017866363282400554, + "loss": 0.8169, + "step": 1224 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017862514727630543, + "loss": 0.8367, + "step": 1225 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017858663120361596, + "loss": 0.3323, + "step": 1226 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017854808462089048, + "loss": 0.8027, + "step": 1227 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017850950754309407, + "loss": 0.3328, + "step": 1228 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017847089998520365, + "loss": 0.8408, + "step": 1229 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017843226196220802, + "loss": 0.9275, + "step": 1230 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001783935934891078, + "loss": 0.9175, + "step": 1231 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017835489458091543, + "loss": 0.8357, + "step": 1232 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017831616525265513, + "loss": 0.8488, + "step": 1233 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017827740551936295, + "loss": 0.8442, + "step": 1234 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017823861539608684, + "loss": 0.8409, + "step": 1235 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017819979489788637, + "loss": 0.8533, + "step": 1236 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017816094403983298, + "loss": 0.7969, + "step": 1237 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017812206283701002, + "loss": 0.845, + "step": 1238 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017808315130451243, + "loss": 0.8785, + "step": 1239 + }, + { + "epoch": 0.24, + "learning_rate": 0.000178044209457447, + "loss": 0.8677, + "step": 1240 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017800523731093234, + "loss": 0.8738, + "step": 1241 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017796623488009874, + "loss": 0.8003, + "step": 1242 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017792720218008827, + "loss": 0.3282, + "step": 1243 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017788813922605488, + "loss": 0.8159, + "step": 1244 + }, + { + "epoch": 0.24, + "learning_rate": 0.000177849046033164, + "loss": 0.7977, + "step": 1245 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017780992261659306, + "loss": 0.8672, + "step": 1246 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017777076899153112, + "loss": 0.865, + "step": 1247 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017773158517317888, + "loss": 0.8291, + "step": 1248 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017769237117674892, + "loss": 0.8362, + "step": 1249 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017765312701746545, + "loss": 0.8931, + "step": 1250 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017761385271056437, + "loss": 0.8223, + "step": 1251 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001775745482712934, + "loss": 0.8505, + "step": 1252 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017753521371491175, + "loss": 0.9131, + "step": 1253 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017749584905669058, + "loss": 0.8071, + "step": 1254 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017745645431191252, + "loss": 0.8271, + "step": 1255 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017741702949587194, + "loss": 0.31, + "step": 1256 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017737757462387506, + "loss": 0.8391, + "step": 1257 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017733808971123947, + "loss": 0.8562, + "step": 1258 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017729857477329463, + "loss": 0.8247, + "step": 1259 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017725902982538162, + "loss": 0.8499, + "step": 1260 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001772194548828531, + "loss": 0.8503, + "step": 1261 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017717984996107344, + "loss": 0.8752, + "step": 1262 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017714021507541866, + "loss": 0.8743, + "step": 1263 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017710055024127637, + "loss": 0.8495, + "step": 1264 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017706085547404584, + "loss": 0.8582, + "step": 1265 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001770211307891379, + "loss": 0.8535, + "step": 1266 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001769813762019751, + "loss": 0.8639, + "step": 1267 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017694159172799152, + "loss": 0.9346, + "step": 1268 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017690177738263283, + "loss": 0.8313, + "step": 1269 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017686193318135635, + "loss": 0.7771, + "step": 1270 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017682205913963103, + "loss": 0.8879, + "step": 1271 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017678215527293722, + "loss": 0.3329, + "step": 1272 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017674222159676708, + "loss": 0.8623, + "step": 1273 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001767022581266242, + "loss": 0.8401, + "step": 1274 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001766622648780238, + "loss": 0.8296, + "step": 1275 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017662224186649258, + "loss": 0.8643, + "step": 1276 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017658218910756893, + "loss": 0.8352, + "step": 1277 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017654210661680262, + "loss": 0.7949, + "step": 1278 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001765019944097551, + "loss": 0.8345, + "step": 1279 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017646185250199935, + "loss": 0.835, + "step": 1280 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017642168090911973, + "loss": 0.8232, + "step": 1281 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017638147964671238, + "loss": 0.823, + "step": 1282 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001763412487303847, + "loss": 0.8796, + "step": 1283 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017630098817575577, + "loss": 0.8572, + "step": 1284 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001762606979984561, + "loss": 0.8401, + "step": 1285 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017622037821412776, + "loss": 0.8672, + "step": 1286 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017618002883842423, + "loss": 0.8586, + "step": 1287 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017613964988701057, + "loss": 0.8696, + "step": 1288 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017609924137556324, + "loss": 0.8578, + "step": 1289 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017605880331977023, + "loss": 0.3367, + "step": 1290 + }, + { + "epoch": 0.25, + "learning_rate": 0.000176018335735331, + "loss": 0.8315, + "step": 1291 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017597783863795643, + "loss": 0.875, + "step": 1292 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017593731204336893, + "loss": 0.8667, + "step": 1293 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001758967559673023, + "loss": 0.9111, + "step": 1294 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001758561704255018, + "loss": 0.342, + "step": 1295 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017581555543372412, + "loss": 0.8447, + "step": 1296 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017577491100773744, + "loss": 0.9001, + "step": 1297 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017573423716332127, + "loss": 0.9087, + "step": 1298 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017569353391626663, + "loss": 0.3333, + "step": 1299 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017565280128237595, + "loss": 0.885, + "step": 1300 + }, + { + "epoch": 0.25, + "learning_rate": 0.000175612039277463, + "loss": 0.8151, + "step": 1301 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017557124791735298, + "loss": 0.3467, + "step": 1302 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017553042721788254, + "loss": 0.8628, + "step": 1303 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017548957719489968, + "loss": 0.8118, + "step": 1304 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017544869786426372, + "loss": 0.8882, + "step": 1305 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017540778924184553, + "loss": 0.8208, + "step": 1306 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017536685134352716, + "loss": 0.8738, + "step": 1307 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017532588418520215, + "loss": 0.82, + "step": 1308 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017528488778277535, + "loss": 0.3329, + "step": 1309 + }, + { + "epoch": 0.25, + "learning_rate": 0.000175243862152163, + "loss": 0.9182, + "step": 1310 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001752028073092926, + "loss": 0.8298, + "step": 1311 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001751617232701031, + "loss": 0.8558, + "step": 1312 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001751206100505448, + "loss": 0.8447, + "step": 1313 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017507946766657912, + "loss": 0.7933, + "step": 1314 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017503829613417905, + "loss": 0.8342, + "step": 1315 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001749970954693288, + "loss": 0.8503, + "step": 1316 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017495586568802384, + "loss": 0.8525, + "step": 1317 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017491460680627103, + "loss": 0.885, + "step": 1318 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017487331884008845, + "loss": 0.8372, + "step": 1319 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017483200180550554, + "loss": 0.8877, + "step": 1320 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017479065571856302, + "loss": 0.866, + "step": 1321 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001747492805953128, + "loss": 0.8372, + "step": 1322 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017470787645181815, + "loss": 0.8328, + "step": 1323 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017466644330415364, + "loss": 0.8755, + "step": 1324 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017462498116840495, + "loss": 0.3289, + "step": 1325 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017458349006066917, + "loss": 0.8076, + "step": 1326 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017454196999705456, + "loss": 0.8113, + "step": 1327 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017450042099368066, + "loss": 0.8041, + "step": 1328 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001744588430666782, + "loss": 0.8979, + "step": 1329 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017441723623218915, + "loss": 0.8364, + "step": 1330 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017437560050636677, + "loss": 0.8298, + "step": 1331 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001743339359053754, + "loss": 0.9358, + "step": 1332 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017429224244539077, + "loss": 0.8123, + "step": 1333 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017425052014259963, + "loss": 0.8187, + "step": 1334 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017420876901320007, + "loss": 0.8992, + "step": 1335 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017416698907340126, + "loss": 0.866, + "step": 1336 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017412518033942372, + "loss": 0.8608, + "step": 1337 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001740833428274989, + "loss": 0.8838, + "step": 1338 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017404147655386963, + "loss": 0.8334, + "step": 1339 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001739995815347899, + "loss": 0.8442, + "step": 1340 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001739576577865247, + "loss": 0.8337, + "step": 1341 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001739157053253503, + "loss": 0.8831, + "step": 1342 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001738737241675541, + "loss": 0.8394, + "step": 1343 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017383171432943466, + "loss": 0.8315, + "step": 1344 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017378967582730158, + "loss": 0.855, + "step": 1345 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017374760867747572, + "loss": 0.8372, + "step": 1346 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017370551289628896, + "loss": 0.8962, + "step": 1347 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017366338850008432, + "loss": 0.8508, + "step": 1348 + }, + { + "epoch": 0.26, + "learning_rate": 0.000173621235505216, + "loss": 0.8347, + "step": 1349 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017357905392804916, + "loss": 0.8152, + "step": 1350 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001735368437849602, + "loss": 0.8789, + "step": 1351 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017349460509233654, + "loss": 0.8411, + "step": 1352 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001734523378665767, + "loss": 0.3187, + "step": 1353 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017341004212409025, + "loss": 0.8384, + "step": 1354 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017336771788129785, + "loss": 0.8582, + "step": 1355 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017332536515463125, + "loss": 0.9089, + "step": 1356 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017328298396053325, + "loss": 0.9456, + "step": 1357 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017324057431545765, + "loss": 0.9128, + "step": 1358 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017319813623586935, + "loss": 0.8601, + "step": 1359 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001731556697382443, + "loss": 0.885, + "step": 1360 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017311317483906943, + "loss": 0.8804, + "step": 1361 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017307065155484273, + "loss": 0.823, + "step": 1362 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017302809990207317, + "loss": 0.8611, + "step": 1363 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017298551989728084, + "loss": 0.8618, + "step": 1364 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001729429115569967, + "loss": 0.8318, + "step": 1365 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017290027489776278, + "loss": 0.8538, + "step": 1366 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017285760993613215, + "loss": 0.8821, + "step": 1367 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017281491668866874, + "loss": 0.7874, + "step": 1368 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001727721951719476, + "loss": 0.8938, + "step": 1369 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001727294454025547, + "loss": 0.8313, + "step": 1370 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001726866673970869, + "loss": 0.8475, + "step": 1371 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017264386117215216, + "loss": 0.8787, + "step": 1372 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017260102674436932, + "loss": 0.8757, + "step": 1373 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001725581641303682, + "loss": 0.8064, + "step": 1374 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017251527334678944, + "loss": 0.3466, + "step": 1375 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017247235441028485, + "loss": 0.9045, + "step": 1376 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017242940733751695, + "loss": 0.3324, + "step": 1377 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017238643214515932, + "loss": 0.8635, + "step": 1378 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017234342884989642, + "loss": 0.8508, + "step": 1379 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017230039746842353, + "loss": 0.8906, + "step": 1380 + }, + { + "epoch": 0.27, + "learning_rate": 0.000172257338017447, + "loss": 0.895, + "step": 1381 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017221425051368395, + "loss": 0.8794, + "step": 1382 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017217113497386242, + "loss": 0.7888, + "step": 1383 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001721279914147214, + "loss": 0.826, + "step": 1384 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017208481985301065, + "loss": 0.875, + "step": 1385 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017204162030549092, + "loss": 0.8477, + "step": 1386 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017199839278893368, + "loss": 0.8618, + "step": 1387 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001719551373201214, + "loss": 0.8367, + "step": 1388 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017191185391584733, + "loss": 0.8613, + "step": 1389 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017186854259291557, + "loss": 0.8115, + "step": 1390 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017182520336814106, + "loss": 0.3361, + "step": 1391 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017178183625834957, + "loss": 0.8359, + "step": 1392 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017173844128037775, + "loss": 0.7809, + "step": 1393 + }, + { + "epoch": 0.27, + "learning_rate": 0.000171695018451073, + "loss": 0.8584, + "step": 1394 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017165156778729354, + "loss": 0.3596, + "step": 1395 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017160808930590844, + "loss": 0.8481, + "step": 1396 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017156458302379753, + "loss": 0.9138, + "step": 1397 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017152104895785147, + "loss": 0.309, + "step": 1398 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017147748712497164, + "loss": 0.8525, + "step": 1399 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017143389754207026, + "loss": 0.8711, + "step": 1400 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017139028022607032, + "loss": 0.8318, + "step": 1401 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017134663519390557, + "loss": 0.8667, + "step": 1402 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017130296246252046, + "loss": 0.8442, + "step": 1403 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017125926204887034, + "loss": 0.8025, + "step": 1404 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017121553396992113, + "loss": 0.8586, + "step": 1405 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017117177824264962, + "loss": 0.8257, + "step": 1406 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017112799488404326, + "loss": 0.8188, + "step": 1407 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017108418391110033, + "loss": 0.843, + "step": 1408 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017104034534082968, + "loss": 0.8364, + "step": 1409 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017099647919025096, + "loss": 0.8417, + "step": 1410 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017095258547639454, + "loss": 0.8591, + "step": 1411 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001709086642163015, + "loss": 0.8691, + "step": 1412 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017086471542702354, + "loss": 0.8218, + "step": 1413 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017082073912562309, + "loss": 0.8538, + "step": 1414 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001707767353291733, + "loss": 0.3314, + "step": 1415 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017073270405475795, + "loss": 0.8704, + "step": 1416 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017068864531947147, + "loss": 0.842, + "step": 1417 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017064455914041896, + "loss": 0.8135, + "step": 1418 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017060044553471627, + "loss": 0.8439, + "step": 1419 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001705563045194898, + "loss": 0.822, + "step": 1420 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017051213611187654, + "loss": 0.7996, + "step": 1421 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001704679403290243, + "loss": 0.3026, + "step": 1422 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001704237171880913, + "loss": 0.8184, + "step": 1423 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017037946670624653, + "loss": 0.8279, + "step": 1424 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017033518890066955, + "loss": 0.8406, + "step": 1425 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017029088378855053, + "loss": 0.3511, + "step": 1426 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017024655138709024, + "loss": 0.3484, + "step": 1427 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017020219171350002, + "loss": 0.865, + "step": 1428 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017015780478500187, + "loss": 0.8486, + "step": 1429 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001701133906188283, + "loss": 0.8263, + "step": 1430 + }, + { + "epoch": 0.28, + "learning_rate": 0.00017006894923222242, + "loss": 0.8596, + "step": 1431 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001700244806424379, + "loss": 0.9243, + "step": 1432 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016997998486673895, + "loss": 0.8547, + "step": 1433 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016993546192240041, + "loss": 0.8525, + "step": 1434 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016989091182670763, + "loss": 0.8176, + "step": 1435 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016984633459695645, + "loss": 0.8162, + "step": 1436 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016980173025045328, + "loss": 0.8364, + "step": 1437 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001697570988045151, + "loss": 0.936, + "step": 1438 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016971244027646937, + "loss": 0.3392, + "step": 1439 + }, + { + "epoch": 0.28, + "learning_rate": 0.000169667754683654, + "loss": 0.8806, + "step": 1440 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001696230420434176, + "loss": 0.3613, + "step": 1441 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016957830237311904, + "loss": 0.8721, + "step": 1442 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016953353569012784, + "loss": 0.9243, + "step": 1443 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016948874201182403, + "loss": 0.809, + "step": 1444 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016944392135559796, + "loss": 0.863, + "step": 1445 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016939907373885062, + "loss": 0.9246, + "step": 1446 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016935419917899335, + "loss": 0.8525, + "step": 1447 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016930929769344805, + "loss": 0.8982, + "step": 1448 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016926436929964699, + "loss": 0.863, + "step": 1449 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001692194140150329, + "loss": 0.8733, + "step": 1450 + }, + { + "epoch": 0.28, + "learning_rate": 0.000169174431857059, + "loss": 0.9146, + "step": 1451 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016912942284318894, + "loss": 0.8684, + "step": 1452 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016908438699089672, + "loss": 0.8562, + "step": 1453 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001690393243176668, + "loss": 0.8784, + "step": 1454 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016899423484099412, + "loss": 0.8082, + "step": 1455 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016894911857838393, + "loss": 0.9141, + "step": 1456 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016890397554735192, + "loss": 0.8687, + "step": 1457 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016885880576542417, + "loss": 0.8075, + "step": 1458 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016881360925013713, + "loss": 0.7521, + "step": 1459 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016876838601903767, + "loss": 0.856, + "step": 1460 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016872313608968294, + "loss": 0.8112, + "step": 1461 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016867785947964064, + "loss": 0.7866, + "step": 1462 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016863255620648863, + "loss": 0.8689, + "step": 1463 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001685872262878152, + "loss": 0.8293, + "step": 1464 + }, + { + "epoch": 0.28, + "learning_rate": 0.000168541869741219, + "loss": 0.8489, + "step": 1465 + }, + { + "epoch": 0.28, + "learning_rate": 0.000168496486584309, + "loss": 0.9233, + "step": 1466 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016845107683470452, + "loss": 0.885, + "step": 1467 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016840564051003514, + "loss": 0.3306, + "step": 1468 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016836017762794086, + "loss": 0.8245, + "step": 1469 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001683146882060719, + "loss": 0.3431, + "step": 1470 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016826917226208887, + "loss": 0.8105, + "step": 1471 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016822362981366257, + "loss": 0.9136, + "step": 1472 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016817806087847417, + "loss": 0.7979, + "step": 1473 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001681324654742151, + "loss": 0.7703, + "step": 1474 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016808684361858703, + "loss": 0.7828, + "step": 1475 + }, + { + "epoch": 0.28, + "learning_rate": 0.000168041195329302, + "loss": 0.8767, + "step": 1476 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016799552062408225, + "loss": 0.8564, + "step": 1477 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016794981952066018, + "loss": 0.8779, + "step": 1478 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001679040920367786, + "loss": 0.8562, + "step": 1479 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001678583381901905, + "loss": 0.3502, + "step": 1480 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001678125579986591, + "loss": 0.8525, + "step": 1481 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001677667514799578, + "loss": 0.8501, + "step": 1482 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001677209186518703, + "loss": 0.8293, + "step": 1483 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016767505953219048, + "loss": 0.853, + "step": 1484 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016762917413872246, + "loss": 0.8569, + "step": 1485 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016758326248928049, + "loss": 0.7998, + "step": 1486 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016753732460168905, + "loss": 0.8567, + "step": 1487 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001674913604937828, + "loss": 0.7898, + "step": 1488 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001674453701834066, + "loss": 0.8164, + "step": 1489 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016739935368841554, + "loss": 0.8784, + "step": 1490 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016735331102667473, + "loss": 0.8303, + "step": 1491 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016730724221605952, + "loss": 0.8699, + "step": 1492 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016726114727445544, + "loss": 0.8865, + "step": 1493 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016721502621975813, + "loss": 0.8623, + "step": 1494 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016716887906987333, + "loss": 0.8019, + "step": 1495 + }, + { + "epoch": 0.29, + "learning_rate": 0.000167122705842717, + "loss": 0.897, + "step": 1496 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016707650655621516, + "loss": 0.844, + "step": 1497 + }, + { + "epoch": 0.29, + "learning_rate": 0.000167030281228304, + "loss": 0.8328, + "step": 1498 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016698402987692966, + "loss": 0.3353, + "step": 1499 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016693775252004867, + "loss": 0.7937, + "step": 1500 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001668914491756274, + "loss": 0.855, + "step": 1501 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001668451198616424, + "loss": 0.8257, + "step": 1502 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016679876459608034, + "loss": 0.8401, + "step": 1503 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016675238339693791, + "loss": 0.8591, + "step": 1504 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016670597628222188, + "loss": 0.8516, + "step": 1505 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001666595432699491, + "loss": 0.8782, + "step": 1506 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001666130843781465, + "loss": 0.7686, + "step": 1507 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016656659962485098, + "loss": 0.8906, + "step": 1508 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001665200890281095, + "loss": 0.8293, + "step": 1509 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016647355260597914, + "loss": 0.7587, + "step": 1510 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016642699037652692, + "loss": 0.8557, + "step": 1511 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016638040235782982, + "loss": 0.8219, + "step": 1512 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016633378856797503, + "loss": 0.7852, + "step": 1513 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016628714902505956, + "loss": 0.8567, + "step": 1514 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016624048374719053, + "loss": 0.8562, + "step": 1515 + }, + { + "epoch": 0.29, + "learning_rate": 0.000166193792752485, + "loss": 0.908, + "step": 1516 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016614707605906996, + "loss": 0.8555, + "step": 1517 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001661003336850825, + "loss": 0.906, + "step": 1518 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016605356564866958, + "loss": 0.873, + "step": 1519 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016600677196798821, + "loss": 0.8438, + "step": 1520 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016595995266120527, + "loss": 0.905, + "step": 1521 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016591310774649766, + "loss": 0.8953, + "step": 1522 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016586623724205215, + "loss": 0.8677, + "step": 1523 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016581934116606552, + "loss": 0.8904, + "step": 1524 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016577241953674439, + "loss": 0.8521, + "step": 1525 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001657254723723054, + "loss": 0.8127, + "step": 1526 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016567849969097503, + "loss": 0.8604, + "step": 1527 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001656315015109897, + "loss": 0.8535, + "step": 1528 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016558447785059577, + "loss": 0.8938, + "step": 1529 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016553742872804937, + "loss": 0.8037, + "step": 1530 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016549035416161664, + "loss": 0.8298, + "step": 1531 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001654432541695735, + "loss": 0.8037, + "step": 1532 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016539612877020582, + "loss": 0.8774, + "step": 1533 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016534897798180928, + "loss": 0.8713, + "step": 1534 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016530180182268946, + "loss": 0.336, + "step": 1535 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016525460031116177, + "loss": 0.873, + "step": 1536 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016520737346555149, + "loss": 0.9092, + "step": 1537 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016516012130419366, + "loss": 0.8569, + "step": 1538 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016511284384543317, + "loss": 0.8152, + "step": 1539 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016506554110762482, + "loss": 0.8057, + "step": 1540 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016501821310913316, + "loss": 0.3331, + "step": 1541 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016497085986833253, + "loss": 0.8396, + "step": 1542 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016492348140360706, + "loss": 0.8818, + "step": 1543 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016487607773335073, + "loss": 0.3272, + "step": 1544 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001648286488759673, + "loss": 0.832, + "step": 1545 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016478119484987025, + "loss": 0.8811, + "step": 1546 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016473371567348285, + "loss": 0.8611, + "step": 1547 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016468621136523823, + "loss": 0.823, + "step": 1548 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001646386819435791, + "loss": 0.8691, + "step": 1549 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016459112742695807, + "loss": 0.8247, + "step": 1550 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016454354783383747, + "loss": 0.8002, + "step": 1551 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016449594318268927, + "loss": 0.8828, + "step": 1552 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016444831349199528, + "loss": 0.7981, + "step": 1553 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016440065878024697, + "loss": 0.8291, + "step": 1554 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016435297906594555, + "loss": 0.8706, + "step": 1555 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016430527436760191, + "loss": 0.8875, + "step": 1556 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016425754470373666, + "loss": 0.8241, + "step": 1557 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001642097900928801, + "loss": 0.8369, + "step": 1558 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016416201055357224, + "loss": 0.7839, + "step": 1559 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001641142061043627, + "loss": 0.832, + "step": 1560 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016406637676381083, + "loss": 0.854, + "step": 1561 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016401852255048564, + "loss": 0.8635, + "step": 1562 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016397064348296577, + "loss": 0.8723, + "step": 1563 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016392273957983956, + "loss": 0.8699, + "step": 1564 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001638748108597049, + "loss": 0.8611, + "step": 1565 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016382685734116933, + "loss": 0.894, + "step": 1566 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016377887904285018, + "loss": 0.9021, + "step": 1567 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016373087598337422, + "loss": 0.8948, + "step": 1568 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016368284818137787, + "loss": 0.8057, + "step": 1569 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016363479565550718, + "loss": 0.9226, + "step": 1570 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001635867184244178, + "loss": 0.7943, + "step": 1571 + }, + { + "epoch": 0.3, + "learning_rate": 0.000163538616506775, + "loss": 0.8936, + "step": 1572 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016349048992125357, + "loss": 0.8838, + "step": 1573 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016344233868653788, + "loss": 0.8002, + "step": 1574 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016339416282132196, + "loss": 0.7946, + "step": 1575 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001633459623443093, + "loss": 0.8237, + "step": 1576 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016329773727421297, + "loss": 0.8677, + "step": 1577 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016324948762975566, + "loss": 0.8667, + "step": 1578 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001632012134296695, + "loss": 0.8206, + "step": 1579 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001631529146926962, + "loss": 0.8545, + "step": 1580 + }, + { + "epoch": 0.3, + "learning_rate": 0.000163104591437587, + "loss": 0.8933, + "step": 1581 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016305624368310263, + "loss": 0.8572, + "step": 1582 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001630078714480134, + "loss": 0.8728, + "step": 1583 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016295947475109904, + "loss": 0.8391, + "step": 1584 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001629110536111488, + "loss": 0.368, + "step": 1585 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001628626080469615, + "loss": 0.8997, + "step": 1586 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001628141380773453, + "loss": 0.8503, + "step": 1587 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016276564372111796, + "loss": 0.3329, + "step": 1588 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016271712499710663, + "loss": 0.9131, + "step": 1589 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016266858192414798, + "loss": 0.3538, + "step": 1590 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016262001452108807, + "loss": 0.7963, + "step": 1591 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016257142280678245, + "loss": 0.8755, + "step": 1592 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016252280680009612, + "loss": 0.885, + "step": 1593 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016247416651990343, + "loss": 0.855, + "step": 1594 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001624255019850883, + "loss": 0.8586, + "step": 1595 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016237681321454387, + "loss": 0.842, + "step": 1596 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001623281002271729, + "loss": 0.96, + "step": 1597 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001622793630418874, + "loss": 0.8314, + "step": 1598 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001622306016776088, + "loss": 0.3307, + "step": 1599 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016218181615326795, + "loss": 0.875, + "step": 1600 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016213300648780513, + "loss": 0.8816, + "step": 1601 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001620841727001699, + "loss": 0.8245, + "step": 1602 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016203531480932115, + "loss": 0.8577, + "step": 1603 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016198643283422729, + "loss": 0.7977, + "step": 1604 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016193752679386593, + "loss": 0.825, + "step": 1605 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001618885967072241, + "loss": 0.7946, + "step": 1606 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016183964259329815, + "loss": 0.767, + "step": 1607 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016179066447109377, + "loss": 0.8406, + "step": 1608 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016174166235962586, + "loss": 0.843, + "step": 1609 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016169263627791887, + "loss": 0.8101, + "step": 1610 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001616435862450063, + "loss": 0.8572, + "step": 1611 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001615945122799311, + "loss": 0.8862, + "step": 1612 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016154541440174548, + "loss": 0.8735, + "step": 1613 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001614962926295109, + "loss": 0.8083, + "step": 1614 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016144714698229816, + "loss": 0.8801, + "step": 1615 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016139797747918725, + "loss": 0.8362, + "step": 1616 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001613487841392675, + "loss": 0.908, + "step": 1617 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016129956698163745, + "loss": 0.8716, + "step": 1618 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001612503260254049, + "loss": 0.8489, + "step": 1619 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016120106128968687, + "loss": 0.8418, + "step": 1620 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016115177279360965, + "loss": 0.755, + "step": 1621 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016110246055630868, + "loss": 0.8018, + "step": 1622 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016105312459692873, + "loss": 0.8347, + "step": 1623 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016100376493462368, + "loss": 0.8689, + "step": 1624 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016095438158855667, + "loss": 0.8479, + "step": 1625 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016090497457789998, + "loss": 0.8936, + "step": 1626 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016085554392183517, + "loss": 0.8547, + "step": 1627 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016080608963955288, + "loss": 0.8447, + "step": 1628 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016075661175025298, + "loss": 0.8469, + "step": 1629 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016070711027314446, + "loss": 0.8124, + "step": 1630 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016065758522744558, + "loss": 0.8145, + "step": 1631 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001606080366323836, + "loss": 0.8984, + "step": 1632 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016055846450719496, + "loss": 0.8154, + "step": 1633 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016050886887112532, + "loss": 0.8567, + "step": 1634 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016045924974342942, + "loss": 0.8147, + "step": 1635 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001604096071433711, + "loss": 0.9336, + "step": 1636 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016035994109022333, + "loss": 0.8447, + "step": 1637 + }, + { + "epoch": 0.32, + "learning_rate": 0.00016031025160326813, + "loss": 0.886, + "step": 1638 + }, + { + "epoch": 0.32, + "learning_rate": 0.00016026053870179675, + "loss": 0.8757, + "step": 1639 + }, + { + "epoch": 0.32, + "learning_rate": 0.00016021080240510944, + "loss": 0.906, + "step": 1640 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001601610427325155, + "loss": 0.8359, + "step": 1641 + }, + { + "epoch": 0.32, + "learning_rate": 0.00016011125970333333, + "loss": 0.3237, + "step": 1642 + }, + { + "epoch": 0.32, + "learning_rate": 0.00016006145333689049, + "loss": 0.7959, + "step": 1643 + }, + { + "epoch": 0.32, + "learning_rate": 0.00016001162365252347, + "loss": 0.7878, + "step": 1644 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015996177066957787, + "loss": 0.9263, + "step": 1645 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001599118944074084, + "loss": 0.8398, + "step": 1646 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015986199488537866, + "loss": 0.8093, + "step": 1647 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001598120721228614, + "loss": 0.8401, + "step": 1648 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015976212613923836, + "loss": 0.8926, + "step": 1649 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015971215695390027, + "loss": 0.8623, + "step": 1650 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015966216458624692, + "loss": 0.8171, + "step": 1651 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015961214905568704, + "loss": 0.8652, + "step": 1652 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001595621103816384, + "loss": 0.8743, + "step": 1653 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015951204858352772, + "loss": 0.8413, + "step": 1654 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001594619636807907, + "loss": 0.8381, + "step": 1655 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015941185569287204, + "loss": 0.8154, + "step": 1656 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015936172463922542, + "loss": 0.8691, + "step": 1657 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001593115705393134, + "loss": 0.8494, + "step": 1658 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015926139341260756, + "loss": 0.812, + "step": 1659 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015921119327858834, + "loss": 0.8892, + "step": 1660 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015916097015674518, + "loss": 0.8389, + "step": 1661 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015911072406657646, + "loss": 0.8682, + "step": 1662 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001590604550275894, + "loss": 0.8088, + "step": 1663 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001590101630593002, + "loss": 0.7888, + "step": 1664 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001589598481812339, + "loss": 0.8643, + "step": 1665 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001589095104129245, + "loss": 0.832, + "step": 1666 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015885914977391486, + "loss": 0.3516, + "step": 1667 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015880876628375666, + "loss": 0.8347, + "step": 1668 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015875835996201058, + "loss": 0.8223, + "step": 1669 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015870793082824604, + "loss": 0.8381, + "step": 1670 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015865747890204138, + "loss": 0.895, + "step": 1671 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015860700420298378, + "loss": 0.8054, + "step": 1672 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015855650675066925, + "loss": 0.8389, + "step": 1673 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015850598656470263, + "loss": 0.8716, + "step": 1674 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001584554436646976, + "loss": 0.8638, + "step": 1675 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015840487807027665, + "loss": 0.8279, + "step": 1676 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015835428980107112, + "loss": 0.8699, + "step": 1677 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001583036788767211, + "loss": 0.8582, + "step": 1678 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001582530453168755, + "loss": 0.8989, + "step": 1679 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015820238914119195, + "loss": 0.8584, + "step": 1680 + }, + { + "epoch": 0.32, + "learning_rate": 0.000158151710369337, + "loss": 0.8484, + "step": 1681 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015810100902098582, + "loss": 0.8381, + "step": 1682 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001580502851158225, + "loss": 0.3417, + "step": 1683 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015799953867353975, + "loss": 0.863, + "step": 1684 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001579487697138391, + "loss": 0.7969, + "step": 1685 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015789797825643085, + "loss": 0.8999, + "step": 1686 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015784716432103393, + "loss": 0.8528, + "step": 1687 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015779632792737607, + "loss": 0.8374, + "step": 1688 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015774546909519375, + "loss": 0.8174, + "step": 1689 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015769458784423206, + "loss": 0.3434, + "step": 1690 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001576436841942449, + "loss": 0.8936, + "step": 1691 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001575927581649948, + "loss": 0.8804, + "step": 1692 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015754180977625303, + "loss": 0.864, + "step": 1693 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015749083904779946, + "loss": 0.8735, + "step": 1694 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015743984599942272, + "loss": 0.8208, + "step": 1695 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015738883065092004, + "loss": 0.8282, + "step": 1696 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015733779302209736, + "loss": 0.8696, + "step": 1697 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001572867331327692, + "loss": 0.8816, + "step": 1698 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015723565100275884, + "loss": 0.7905, + "step": 1699 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015718454665189806, + "loss": 0.916, + "step": 1700 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015713342010002733, + "loss": 0.8682, + "step": 1701 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015708227136699575, + "loss": 0.8218, + "step": 1702 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015703110047266106, + "loss": 0.3376, + "step": 1703 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001569799074368895, + "loss": 0.3558, + "step": 1704 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015692869227955603, + "loss": 0.796, + "step": 1705 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015687745502054407, + "loss": 0.8787, + "step": 1706 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015682619567974576, + "loss": 0.8083, + "step": 1707 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015677491427706168, + "loss": 0.8218, + "step": 1708 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015672361083240107, + "loss": 0.8376, + "step": 1709 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015667228536568167, + "loss": 0.8115, + "step": 1710 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015662093789682978, + "loss": 0.7827, + "step": 1711 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001565695684457803, + "loss": 0.8014, + "step": 1712 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015651817703247667, + "loss": 0.7896, + "step": 1713 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015646676367687067, + "loss": 0.8469, + "step": 1714 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001564153283989228, + "loss": 0.8613, + "step": 1715 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015636387121860206, + "loss": 0.8442, + "step": 1716 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015631239215588578, + "loss": 0.8486, + "step": 1717 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015626089123076, + "loss": 0.8522, + "step": 1718 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015620936846321917, + "loss": 0.8926, + "step": 1719 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001561578238732661, + "loss": 0.8325, + "step": 1720 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015610625748091228, + "loss": 0.8672, + "step": 1721 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015605466930617746, + "loss": 0.8579, + "step": 1722 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015600305936909004, + "loss": 0.8524, + "step": 1723 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015595142768968668, + "loss": 0.842, + "step": 1724 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015589977428801267, + "loss": 0.8391, + "step": 1725 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015584809918412157, + "loss": 0.804, + "step": 1726 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015579640239807548, + "loss": 0.8745, + "step": 1727 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015574468394994486, + "loss": 0.8326, + "step": 1728 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015569294385980856, + "loss": 0.8506, + "step": 1729 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001556411821477539, + "loss": 0.9011, + "step": 1730 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015558939883387655, + "loss": 0.8335, + "step": 1731 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015553759393828058, + "loss": 0.8972, + "step": 1732 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015548576748107838, + "loss": 0.8181, + "step": 1733 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015543391948239088, + "loss": 0.8267, + "step": 1734 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015538204996234716, + "loss": 0.8086, + "step": 1735 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001553301589410848, + "loss": 0.7678, + "step": 1736 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015527824643874966, + "loss": 0.8418, + "step": 1737 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015522631247549598, + "loss": 0.8389, + "step": 1738 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015517435707148626, + "loss": 0.7937, + "step": 1739 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015512238024689142, + "loss": 0.8635, + "step": 1740 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001550703820218907, + "loss": 0.8914, + "step": 1741 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001550183624166715, + "loss": 0.8394, + "step": 1742 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001549663214514297, + "loss": 0.8662, + "step": 1743 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015491425914636935, + "loss": 0.865, + "step": 1744 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015486217552170283, + "loss": 0.8811, + "step": 1745 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015481007059765082, + "loss": 0.8796, + "step": 1746 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015475794439444226, + "loss": 0.8323, + "step": 1747 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015470579693231432, + "loss": 0.8354, + "step": 1748 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015465362823151245, + "loss": 0.7885, + "step": 1749 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015460143831229025, + "loss": 0.8145, + "step": 1750 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015454922719490978, + "loss": 0.8352, + "step": 1751 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001544969948996411, + "loss": 0.8123, + "step": 1752 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001544447414467626, + "loss": 0.8711, + "step": 1753 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015439246685656092, + "loss": 0.8152, + "step": 1754 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001543401711493308, + "loss": 0.3445, + "step": 1755 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015428785434537526, + "loss": 0.3306, + "step": 1756 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015423551646500546, + "loss": 0.8853, + "step": 1757 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001541831575285408, + "loss": 0.8254, + "step": 1758 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015413077755630877, + "loss": 0.865, + "step": 1759 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001540783765686452, + "loss": 0.3312, + "step": 1760 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001540259545858938, + "loss": 0.8256, + "step": 1761 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001539735116284067, + "loss": 0.8081, + "step": 1762 + }, + { + "epoch": 0.34, + "learning_rate": 0.000153921047716544, + "loss": 0.8406, + "step": 1763 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015386856287067402, + "loss": 0.8491, + "step": 1764 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015381605711117316, + "loss": 0.8777, + "step": 1765 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015376353045842603, + "loss": 0.8442, + "step": 1766 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015371098293282524, + "loss": 0.8137, + "step": 1767 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015365841455477157, + "loss": 0.8955, + "step": 1768 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001536058253446738, + "loss": 0.8542, + "step": 1769 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015355321532294896, + "loss": 0.8317, + "step": 1770 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015350058451002205, + "loss": 0.8748, + "step": 1771 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015344793292632614, + "loss": 0.876, + "step": 1772 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001533952605923024, + "loss": 0.8472, + "step": 1773 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015334256752840006, + "loss": 0.8379, + "step": 1774 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015328985375507638, + "loss": 0.8375, + "step": 1775 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001532371192927966, + "loss": 0.8281, + "step": 1776 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015318436416203413, + "loss": 0.8782, + "step": 1777 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001531315883832703, + "loss": 0.8092, + "step": 1778 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001530787919769945, + "loss": 0.8228, + "step": 1779 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015302597496370408, + "loss": 0.821, + "step": 1780 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015297313736390447, + "loss": 0.8274, + "step": 1781 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015292027919810896, + "loss": 0.3448, + "step": 1782 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015286740048683898, + "loss": 0.8682, + "step": 1783 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001528145012506239, + "loss": 0.8008, + "step": 1784 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015276158151000094, + "loss": 0.7966, + "step": 1785 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015270864128551543, + "loss": 0.8804, + "step": 1786 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015265568059772054, + "loss": 0.7603, + "step": 1787 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015260269946717746, + "loss": 0.8729, + "step": 1788 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015254969791445526, + "loss": 0.8464, + "step": 1789 + }, + { + "epoch": 0.34, + "learning_rate": 0.000152496675960131, + "loss": 0.8328, + "step": 1790 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015244363362478967, + "loss": 0.8401, + "step": 1791 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015239057092902405, + "loss": 0.8638, + "step": 1792 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015233748789343488, + "loss": 0.7992, + "step": 1793 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015228438453863095, + "loss": 0.9008, + "step": 1794 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001522312608852287, + "loss": 0.8064, + "step": 1795 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015217811695385263, + "loss": 0.8784, + "step": 1796 + }, + { + "epoch": 0.35, + "learning_rate": 0.000152124952765135, + "loss": 0.7964, + "step": 1797 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015207176833971598, + "loss": 0.8933, + "step": 1798 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001520185636982436, + "loss": 0.8608, + "step": 1799 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015196533886137377, + "loss": 0.8297, + "step": 1800 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015191209384977014, + "loss": 0.8267, + "step": 1801 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001518588286841043, + "loss": 0.8652, + "step": 1802 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015180554338505565, + "loss": 0.7744, + "step": 1803 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001517522379733113, + "loss": 0.8813, + "step": 1804 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001516989124695663, + "loss": 0.7716, + "step": 1805 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015164556689452346, + "loss": 0.8198, + "step": 1806 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001515922012688933, + "loss": 0.822, + "step": 1807 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015153881561339426, + "loss": 0.8394, + "step": 1808 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001514854099487524, + "loss": 0.8561, + "step": 1809 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001514319842957018, + "loss": 0.826, + "step": 1810 + }, + { + "epoch": 0.35, + "learning_rate": 0.000151378538674984, + "loss": 0.3392, + "step": 1811 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015132507310734847, + "loss": 0.8376, + "step": 1812 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001512715876135524, + "loss": 0.3523, + "step": 1813 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001512180822143607, + "loss": 0.8347, + "step": 1814 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015116455693054594, + "loss": 0.8167, + "step": 1815 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015111101178288857, + "loss": 0.8259, + "step": 1816 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001510574467921766, + "loss": 0.8433, + "step": 1817 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015100386197920584, + "loss": 0.7966, + "step": 1818 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015095025736477978, + "loss": 0.8704, + "step": 1819 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001508966329697095, + "loss": 0.7302, + "step": 1820 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015084298881481387, + "loss": 0.8596, + "step": 1821 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015078932492091943, + "loss": 0.3295, + "step": 1822 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001507356413088603, + "loss": 0.7815, + "step": 1823 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015068193799947839, + "loss": 0.8025, + "step": 1824 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015062821501362307, + "loss": 0.8186, + "step": 1825 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001505744723721515, + "loss": 0.8152, + "step": 1826 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015052071009592844, + "loss": 0.8708, + "step": 1827 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015046692820582625, + "loss": 0.3392, + "step": 1828 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001504131267227249, + "loss": 0.8779, + "step": 1829 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015035930566751197, + "loss": 0.9062, + "step": 1830 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015030546506108268, + "loss": 0.8058, + "step": 1831 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015025160492433977, + "loss": 0.8071, + "step": 1832 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001501977252781936, + "loss": 0.8071, + "step": 1833 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015014382614356213, + "loss": 0.8242, + "step": 1834 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015008990754137086, + "loss": 0.9441, + "step": 1835 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015003596949255283, + "loss": 0.8193, + "step": 1836 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014998201201804867, + "loss": 0.8389, + "step": 1837 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001499280351388065, + "loss": 0.327, + "step": 1838 + }, + { + "epoch": 0.35, + "learning_rate": 0.000149874038875782, + "loss": 0.8745, + "step": 1839 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001498200232499384, + "loss": 0.8101, + "step": 1840 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001497659882822464, + "loss": 0.8752, + "step": 1841 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001497119339936843, + "loss": 0.8567, + "step": 1842 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001496578604052378, + "loss": 0.8357, + "step": 1843 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001496037675379001, + "loss": 0.7692, + "step": 1844 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014954965541267193, + "loss": 0.8955, + "step": 1845 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001494955240505615, + "loss": 0.8691, + "step": 1846 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001494413734725844, + "loss": 0.8708, + "step": 1847 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014938720369976386, + "loss": 0.8098, + "step": 1848 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014933301475313036, + "loss": 0.8059, + "step": 1849 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014927880665372196, + "loss": 0.8506, + "step": 1850 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001492245794225841, + "loss": 0.3572, + "step": 1851 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014917033308076965, + "loss": 0.8328, + "step": 1852 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014911606764933893, + "loss": 0.8118, + "step": 1853 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001490617831493596, + "loss": 0.8289, + "step": 1854 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014900747960190682, + "loss": 0.7942, + "step": 1855 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001489531570280631, + "loss": 0.8301, + "step": 1856 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001488988154489183, + "loss": 0.7629, + "step": 1857 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001488444548855697, + "loss": 0.8174, + "step": 1858 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014879007535912198, + "loss": 0.7986, + "step": 1859 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014873567689068707, + "loss": 0.7742, + "step": 1860 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014868125950138442, + "loss": 0.8389, + "step": 1861 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014862682321234062, + "loss": 0.8097, + "step": 1862 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014857236804468983, + "loss": 0.8296, + "step": 1863 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014851789401957338, + "loss": 0.8669, + "step": 1864 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014846340115813993, + "loss": 0.7573, + "step": 1865 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014840888948154549, + "loss": 0.8542, + "step": 1866 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001483543590109534, + "loss": 0.8357, + "step": 1867 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014829980976753426, + "loss": 0.8098, + "step": 1868 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014824524177246598, + "loss": 0.8472, + "step": 1869 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014819065504693364, + "loss": 0.8024, + "step": 1870 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014813604961212983, + "loss": 0.8689, + "step": 1871 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014808142548925418, + "loss": 0.8304, + "step": 1872 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014802678269951365, + "loss": 0.7888, + "step": 1873 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014797212126412243, + "loss": 0.8582, + "step": 1874 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014791744120430203, + "loss": 0.8374, + "step": 1875 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001478627425412811, + "loss": 0.7881, + "step": 1876 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014780802529629558, + "loss": 0.8767, + "step": 1877 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014775328949058854, + "loss": 0.8149, + "step": 1878 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014769853514541036, + "loss": 0.8525, + "step": 1879 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001476437622820185, + "loss": 0.8796, + "step": 1880 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001475889709216777, + "loss": 0.8079, + "step": 1881 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014753416108565984, + "loss": 0.844, + "step": 1882 + }, + { + "epoch": 0.36, + "learning_rate": 0.000147479332795244, + "loss": 0.7815, + "step": 1883 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014742448607171644, + "loss": 0.8591, + "step": 1884 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001473696209363705, + "loss": 0.8341, + "step": 1885 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014731473741050671, + "loss": 0.8713, + "step": 1886 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014725983551543278, + "loss": 0.8594, + "step": 1887 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001472049152724635, + "loss": 0.8258, + "step": 1888 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014714997670292078, + "loss": 0.8381, + "step": 1889 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014709501982813368, + "loss": 0.8325, + "step": 1890 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001470400446694384, + "loss": 0.8401, + "step": 1891 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014698505124817812, + "loss": 0.3611, + "step": 1892 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014693003958570318, + "loss": 0.7971, + "step": 1893 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014687500970337103, + "loss": 0.8206, + "step": 1894 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014681996162254618, + "loss": 0.8494, + "step": 1895 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014676489536460014, + "loss": 0.8616, + "step": 1896 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001467098109509116, + "loss": 0.8015, + "step": 1897 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014665470840286615, + "loss": 0.8259, + "step": 1898 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014659958774185654, + "loss": 0.8127, + "step": 1899 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001465444489892825, + "loss": 0.8704, + "step": 1900 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014648929216655077, + "loss": 0.8782, + "step": 1901 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014643411729507516, + "loss": 0.8491, + "step": 1902 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014637892439627642, + "loss": 0.8591, + "step": 1903 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001463237134915824, + "loss": 0.8125, + "step": 1904 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001462684846024278, + "loss": 0.8689, + "step": 1905 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014621323775025445, + "loss": 0.8469, + "step": 1906 + }, + { + "epoch": 0.37, + "learning_rate": 0.000146157972956511, + "loss": 0.8235, + "step": 1907 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014610269024265316, + "loss": 0.8601, + "step": 1908 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014604738963014364, + "loss": 0.3474, + "step": 1909 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014599207114045202, + "loss": 0.8752, + "step": 1910 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014593673479505482, + "loss": 0.8572, + "step": 1911 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001458813806154355, + "loss": 0.3195, + "step": 1912 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014582600862308447, + "loss": 0.771, + "step": 1913 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014577061883949913, + "loss": 0.8909, + "step": 1914 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014571521128618357, + "loss": 0.8494, + "step": 1915 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014565978598464894, + "loss": 0.8682, + "step": 1916 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014560434295641337, + "loss": 0.7775, + "step": 1917 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001455488822230016, + "loss": 0.855, + "step": 1918 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014549340380594545, + "loss": 0.8076, + "step": 1919 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014543790772678357, + "loss": 0.8236, + "step": 1920 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014538239400706146, + "loss": 0.8186, + "step": 1921 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014532686266833142, + "loss": 0.8479, + "step": 1922 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014527131373215263, + "loss": 0.8271, + "step": 1923 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014521574722009114, + "loss": 0.8945, + "step": 1924 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014516016315371975, + "loss": 0.8239, + "step": 1925 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014510456155461806, + "loss": 0.8469, + "step": 1926 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014504894244437265, + "loss": 0.7749, + "step": 1927 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014499330584457666, + "loss": 0.9028, + "step": 1928 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014493765177683016, + "loss": 0.8042, + "step": 1929 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014488198026274006, + "loss": 0.8884, + "step": 1930 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014482629132391985, + "loss": 0.8167, + "step": 1931 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014477058498198992, + "loss": 0.8638, + "step": 1932 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014471486125857742, + "loss": 0.7859, + "step": 1933 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001446591201753162, + "loss": 0.8638, + "step": 1934 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001446033617538469, + "loss": 0.843, + "step": 1935 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014454758601581676, + "loss": 0.3323, + "step": 1936 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014449179298287997, + "loss": 0.8923, + "step": 1937 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014443598267669723, + "loss": 0.827, + "step": 1938 + }, + { + "epoch": 0.37, + "learning_rate": 0.000144380155118936, + "loss": 0.8931, + "step": 1939 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014432431033127056, + "loss": 0.8469, + "step": 1940 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001442684483353817, + "loss": 0.8101, + "step": 1941 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014421256915295695, + "loss": 0.7865, + "step": 1942 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014415667280569063, + "loss": 0.7971, + "step": 1943 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014410075931528356, + "loss": 0.8242, + "step": 1944 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014404482870344323, + "loss": 0.8158, + "step": 1945 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014398888099188394, + "loss": 0.8344, + "step": 1946 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014393291620232645, + "loss": 0.8879, + "step": 1947 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014387693435649826, + "loss": 0.8357, + "step": 1948 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014382093547613337, + "loss": 0.802, + "step": 1949 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014376491958297262, + "loss": 0.8843, + "step": 1950 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014370888669876317, + "loss": 0.3348, + "step": 1951 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014365283684525894, + "loss": 0.8577, + "step": 1952 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014359677004422046, + "loss": 0.8413, + "step": 1953 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014354068631741476, + "loss": 0.8484, + "step": 1954 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014348458568661548, + "loss": 0.7869, + "step": 1955 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001434284681736028, + "loss": 0.8518, + "step": 1956 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014337233380016352, + "loss": 0.8604, + "step": 1957 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001433161825880909, + "loss": 0.3306, + "step": 1958 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014326001455918478, + "loss": 0.9314, + "step": 1959 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001432038297352515, + "loss": 0.8455, + "step": 1960 + }, + { + "epoch": 0.38, + "learning_rate": 0.000143147628138104, + "loss": 0.8252, + "step": 1961 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001430914097895616, + "loss": 0.8274, + "step": 1962 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001430351747114503, + "loss": 0.7769, + "step": 1963 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001429789229256024, + "loss": 0.8396, + "step": 1964 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001429226544538568, + "loss": 0.8379, + "step": 1965 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014286636931805887, + "loss": 0.8381, + "step": 1966 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014281006754006045, + "loss": 0.8179, + "step": 1967 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001427537491417198, + "loss": 0.3367, + "step": 1968 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001426974141449017, + "loss": 0.793, + "step": 1969 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014264106257147732, + "loss": 0.8167, + "step": 1970 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014258469444332423, + "loss": 0.8479, + "step": 1971 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014252830978232656, + "loss": 0.3184, + "step": 1972 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014247190861037474, + "loss": 0.8579, + "step": 1973 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014241549094936567, + "loss": 0.8186, + "step": 1974 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014235905682120255, + "loss": 0.8557, + "step": 1975 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014230260624779512, + "loss": 0.7821, + "step": 1976 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014224613925105947, + "loss": 0.8574, + "step": 1977 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014218965585291793, + "loss": 0.8843, + "step": 1978 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014213315607529938, + "loss": 0.7719, + "step": 1979 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014207663994013895, + "loss": 0.885, + "step": 1980 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014202010746937815, + "loss": 0.8608, + "step": 1981 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014196355868496485, + "loss": 0.8162, + "step": 1982 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014190699360885323, + "loss": 0.8511, + "step": 1983 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014185041226300374, + "loss": 0.8691, + "step": 1984 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001417938146693833, + "loss": 0.8104, + "step": 1985 + }, + { + "epoch": 0.38, + "learning_rate": 0.000141737200849965, + "loss": 0.8584, + "step": 1986 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014168057082672826, + "loss": 0.8784, + "step": 1987 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014162392462165884, + "loss": 0.9036, + "step": 1988 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014156726225674873, + "loss": 0.7913, + "step": 1989 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001415105837539962, + "loss": 0.8596, + "step": 1990 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001414538891354058, + "loss": 0.8142, + "step": 1991 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014139717842298835, + "loss": 0.7592, + "step": 1992 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014134045163876087, + "loss": 0.361, + "step": 1993 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014128370880474666, + "loss": 0.8445, + "step": 1994 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001412269499429753, + "loss": 0.8413, + "step": 1995 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014117017507548244, + "loss": 0.8552, + "step": 1996 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014111338422431014, + "loss": 0.8473, + "step": 1997 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014105657741150647, + "loss": 0.845, + "step": 1998 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014099975465912582, + "loss": 0.3361, + "step": 1999 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014094291598922877, + "loss": 0.8584, + "step": 2000 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014088606142388202, + "loss": 0.8574, + "step": 2001 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014082919098515846, + "loss": 0.834, + "step": 2002 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001407723046951372, + "loss": 0.305, + "step": 2003 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001407154025759034, + "loss": 0.8435, + "step": 2004 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014065848464954846, + "loss": 0.8577, + "step": 2005 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014060155093816986, + "loss": 0.3557, + "step": 2006 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014054460146387124, + "loss": 0.8267, + "step": 2007 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014048763624876235, + "loss": 0.8315, + "step": 2008 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014043065531495902, + "loss": 0.8575, + "step": 2009 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014037365868458326, + "loss": 0.3496, + "step": 2010 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014031664637976306, + "loss": 0.834, + "step": 2011 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001402596184226326, + "loss": 0.7703, + "step": 2012 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014020257483533208, + "loss": 0.8558, + "step": 2013 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001401455156400078, + "loss": 0.8406, + "step": 2014 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001400884408588121, + "loss": 0.8433, + "step": 2015 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001400313505139034, + "loss": 0.7922, + "step": 2016 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013997424462744605, + "loss": 0.8262, + "step": 2017 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013991712322161063, + "loss": 0.8723, + "step": 2018 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013985998631857357, + "loss": 0.8699, + "step": 2019 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001398028339405174, + "loss": 0.8369, + "step": 2020 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013974566610963068, + "loss": 0.7894, + "step": 2021 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013968848284810786, + "loss": 0.8645, + "step": 2022 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001396312841781495, + "loss": 0.7937, + "step": 2023 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013957407012196203, + "loss": 0.8055, + "step": 2024 + }, + { + "epoch": 0.39, + "learning_rate": 0.000139516840701758, + "loss": 0.8396, + "step": 2025 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001394595959397558, + "loss": 0.7555, + "step": 2026 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013940233585817984, + "loss": 0.8601, + "step": 2027 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001393450604792604, + "loss": 0.8313, + "step": 2028 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013928776982523384, + "loss": 0.8048, + "step": 2029 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013923046391834228, + "loss": 0.8176, + "step": 2030 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001391731427808339, + "loss": 0.8369, + "step": 2031 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001391158064349627, + "loss": 0.9043, + "step": 2032 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013905845490298866, + "loss": 0.835, + "step": 2033 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001390010882071776, + "loss": 0.8716, + "step": 2034 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013894370636980126, + "loss": 0.7408, + "step": 2035 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013888630941313727, + "loss": 0.8195, + "step": 2036 + }, + { + "epoch": 0.39, + "learning_rate": 0.000138828897359469, + "loss": 0.906, + "step": 2037 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001387714702310859, + "loss": 0.8075, + "step": 2038 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013871402805028314, + "loss": 0.8169, + "step": 2039 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013865657083936164, + "loss": 0.3643, + "step": 2040 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013859909862062842, + "loss": 0.8613, + "step": 2041 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001385416114163961, + "loss": 0.2872, + "step": 2042 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001384841092489832, + "loss": 0.8767, + "step": 2043 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013842659214071404, + "loss": 0.8435, + "step": 2044 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013836906011391878, + "loss": 0.8325, + "step": 2045 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013831151319093323, + "loss": 0.8635, + "step": 2046 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001382539513940992, + "loss": 0.7883, + "step": 2047 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001381963747457641, + "loss": 0.8596, + "step": 2048 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001381387832682812, + "loss": 0.7998, + "step": 2049 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013808117698400947, + "loss": 0.8923, + "step": 2050 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013802355591531365, + "loss": 0.8313, + "step": 2051 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013796592008456427, + "loss": 0.8787, + "step": 2052 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013790826951413747, + "loss": 0.8152, + "step": 2053 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013785060422641526, + "loss": 0.3541, + "step": 2054 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001377929242437852, + "loss": 0.8398, + "step": 2055 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013773522958864076, + "loss": 0.8438, + "step": 2056 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001376775202833809, + "loss": 0.8464, + "step": 2057 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001376197963504104, + "loss": 0.8052, + "step": 2058 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013756205781213963, + "loss": 0.3188, + "step": 2059 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013750430469098478, + "loss": 0.8257, + "step": 2060 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013744653700936753, + "loss": 0.8477, + "step": 2061 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013738875478971525, + "loss": 0.8467, + "step": 2062 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013733095805446106, + "loss": 0.865, + "step": 2063 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001372731468260436, + "loss": 0.8259, + "step": 2064 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001372153211269072, + "loss": 0.8389, + "step": 2065 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013715748097950175, + "loss": 0.8263, + "step": 2066 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013709962640628284, + "loss": 0.8425, + "step": 2067 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013704175742971158, + "loss": 0.8323, + "step": 2068 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001369838740722547, + "loss": 0.8254, + "step": 2069 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001369259763563845, + "loss": 0.802, + "step": 2070 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001368680643045789, + "loss": 0.3277, + "step": 2071 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001368101379393213, + "loss": 0.3408, + "step": 2072 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013675219728310077, + "loss": 0.8477, + "step": 2073 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013669424235841185, + "loss": 0.7795, + "step": 2074 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013663627318775457, + "loss": 0.8474, + "step": 2075 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013657828979363467, + "loss": 0.8301, + "step": 2076 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013652029219856322, + "loss": 0.8076, + "step": 2077 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013646228042505694, + "loss": 0.7883, + "step": 2078 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001364042544956379, + "loss": 0.8464, + "step": 2079 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013634621443283387, + "loss": 0.8713, + "step": 2080 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013628816025917798, + "loss": 0.8259, + "step": 2081 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013623009199720883, + "loss": 0.771, + "step": 2082 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013617200966947052, + "loss": 0.8442, + "step": 2083 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013611391329851263, + "loss": 0.7952, + "step": 2084 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013605580290689014, + "loss": 0.8269, + "step": 2085 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013599767851716352, + "loss": 0.8308, + "step": 2086 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013593954015189867, + "loss": 0.8374, + "step": 2087 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001358813878336669, + "loss": 0.8591, + "step": 2088 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013582322158504494, + "loss": 0.8579, + "step": 2089 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013576504142861495, + "loss": 0.8311, + "step": 2090 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013570684738696445, + "loss": 0.8362, + "step": 2091 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001356486394826863, + "loss": 0.8486, + "step": 2092 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013559041773837898, + "loss": 0.8787, + "step": 2093 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013553218217664603, + "loss": 0.8745, + "step": 2094 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013547393282009655, + "loss": 0.8059, + "step": 2095 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013541566969134497, + "loss": 0.863, + "step": 2096 + }, + { + "epoch": 0.4, + "learning_rate": 0.000135357392813011, + "loss": 0.8326, + "step": 2097 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013529910220771977, + "loss": 0.7942, + "step": 2098 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013524079789810163, + "loss": 0.8489, + "step": 2099 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013518247990679241, + "loss": 0.8789, + "step": 2100 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013512414825643312, + "loss": 0.8511, + "step": 2101 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001350658029696701, + "loss": 0.7913, + "step": 2102 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013500744406915504, + "loss": 0.7944, + "step": 2103 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013494907157754485, + "loss": 0.8029, + "step": 2104 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001348906855175017, + "loss": 0.9084, + "step": 2105 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013483228591169315, + "loss": 0.9109, + "step": 2106 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001347738727827919, + "loss": 0.8046, + "step": 2107 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001347154461534759, + "loss": 0.8232, + "step": 2108 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013465700604642846, + "loss": 0.8032, + "step": 2109 + }, + { + "epoch": 0.41, + "learning_rate": 0.000134598552484338, + "loss": 0.8744, + "step": 2110 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013454008548989817, + "loss": 0.8077, + "step": 2111 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001344816050858079, + "loss": 0.7959, + "step": 2112 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013442311129477133, + "loss": 0.8459, + "step": 2113 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001343646041394977, + "loss": 0.356, + "step": 2114 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013430608364270157, + "loss": 0.8618, + "step": 2115 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013424754982710254, + "loss": 0.8098, + "step": 2116 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001341890027154255, + "loss": 0.3601, + "step": 2117 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013413044233040043, + "loss": 0.8655, + "step": 2118 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013407186869476254, + "loss": 0.8186, + "step": 2119 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013401328183125207, + "loss": 0.765, + "step": 2120 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001339546817626145, + "loss": 0.8118, + "step": 2121 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013389606851160036, + "loss": 0.8596, + "step": 2122 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013383744210096536, + "loss": 0.8738, + "step": 2123 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013377880255347027, + "loss": 0.7893, + "step": 2124 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013372014989188099, + "loss": 0.8513, + "step": 2125 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001336614841389685, + "loss": 0.811, + "step": 2126 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013360280531750886, + "loss": 0.3475, + "step": 2127 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013354411345028325, + "loss": 0.8712, + "step": 2128 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001334854085600778, + "loss": 0.7888, + "step": 2129 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013342669066968385, + "loss": 0.8633, + "step": 2130 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001333679598018976, + "loss": 0.9006, + "step": 2131 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013330921597952056, + "loss": 0.8386, + "step": 2132 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013325045922535895, + "loss": 0.8433, + "step": 2133 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013319168956222422, + "loss": 0.8684, + "step": 2134 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001331329070129328, + "loss": 0.8149, + "step": 2135 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013307411160030607, + "loss": 0.8586, + "step": 2136 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013301530334717046, + "loss": 0.834, + "step": 2137 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001329564822763573, + "loss": 0.8557, + "step": 2138 + }, + { + "epoch": 0.41, + "learning_rate": 0.000132897648410703, + "loss": 0.8816, + "step": 2139 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013283880177304892, + "loss": 0.8408, + "step": 2140 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001327799423862413, + "loss": 0.8125, + "step": 2141 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013272107027313142, + "loss": 0.8501, + "step": 2142 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013266218545657541, + "loss": 0.8564, + "step": 2143 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001326032879594344, + "loss": 0.8462, + "step": 2144 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013254437780457447, + "loss": 0.748, + "step": 2145 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013248545501486653, + "loss": 0.8208, + "step": 2146 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013242651961318646, + "loss": 0.8232, + "step": 2147 + }, + { + "epoch": 0.41, + "learning_rate": 0.000132367571622415, + "loss": 0.8503, + "step": 2148 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013230861106543776, + "loss": 0.9006, + "step": 2149 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001322496379651453, + "loss": 0.8215, + "step": 2150 + }, + { + "epoch": 0.41, + "learning_rate": 0.000132190652344433, + "loss": 0.8484, + "step": 2151 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001321316542262011, + "loss": 0.7915, + "step": 2152 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001320726436333547, + "loss": 0.8669, + "step": 2153 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013201362058880376, + "loss": 0.8206, + "step": 2154 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013195458511546307, + "loss": 0.8447, + "step": 2155 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013189553723625216, + "loss": 0.785, + "step": 2156 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001318364769740955, + "loss": 0.8267, + "step": 2157 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013177740435192233, + "loss": 0.8566, + "step": 2158 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013171831939266668, + "loss": 0.8342, + "step": 2159 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013165922211926732, + "loss": 0.764, + "step": 2160 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001316001125546679, + "loss": 0.8423, + "step": 2161 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013154099072181676, + "loss": 0.9121, + "step": 2162 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013148185664366702, + "loss": 0.856, + "step": 2163 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001314227103431766, + "loss": 0.821, + "step": 2164 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001313635518433081, + "loss": 0.8135, + "step": 2165 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013130438116702888, + "loss": 0.8145, + "step": 2166 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013124519833731106, + "loss": 0.771, + "step": 2167 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013118600337713146, + "loss": 0.8308, + "step": 2168 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013112679630947156, + "loss": 0.845, + "step": 2169 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013106757715731758, + "loss": 0.8391, + "step": 2170 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001310083459436605, + "loss": 0.8054, + "step": 2171 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013094910269149587, + "loss": 0.7778, + "step": 2172 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013088984742382396, + "loss": 0.8232, + "step": 2173 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001308305801636497, + "loss": 0.8362, + "step": 2174 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013077130093398274, + "loss": 0.8381, + "step": 2175 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013071200975783723, + "loss": 0.7882, + "step": 2176 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013065270665823205, + "loss": 0.7905, + "step": 2177 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013059339165819083, + "loss": 0.8325, + "step": 2178 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013053406478074156, + "loss": 0.8843, + "step": 2179 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013047472604891703, + "loss": 0.7971, + "step": 2180 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013041537548575457, + "loss": 0.866, + "step": 2181 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013035601311429612, + "loss": 0.8101, + "step": 2182 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013029663895758813, + "loss": 0.8457, + "step": 2183 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001302372530386818, + "loss": 0.8511, + "step": 2184 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013017785538063276, + "loss": 0.8625, + "step": 2185 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001301184460065012, + "loss": 0.8108, + "step": 2186 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001300590249393519, + "loss": 0.8615, + "step": 2187 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012999959220225414, + "loss": 0.8492, + "step": 2188 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012994014781828178, + "loss": 0.8713, + "step": 2189 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012988069181051314, + "loss": 0.8193, + "step": 2190 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012982122420203114, + "loss": 0.8195, + "step": 2191 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012976174501592313, + "loss": 0.7969, + "step": 2192 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012970225427528097, + "loss": 0.832, + "step": 2193 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012964275200320105, + "loss": 0.7812, + "step": 2194 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012958323822278412, + "loss": 0.8225, + "step": 2195 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012952371295713556, + "loss": 0.8538, + "step": 2196 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012946417622936512, + "loss": 0.8354, + "step": 2197 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012940462806258695, + "loss": 0.8623, + "step": 2198 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012934506847991976, + "loss": 0.3492, + "step": 2199 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001292854975044866, + "loss": 0.8308, + "step": 2200 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012922591515941498, + "loss": 0.356, + "step": 2201 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012916632146783684, + "loss": 0.7644, + "step": 2202 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001291067164528884, + "loss": 0.8379, + "step": 2203 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012904710013771054, + "loss": 0.7808, + "step": 2204 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012898747254544825, + "loss": 0.8037, + "step": 2205 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012892783369925105, + "loss": 0.8523, + "step": 2206 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012886818362227282, + "loss": 0.8181, + "step": 2207 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012880852233767174, + "loss": 0.338, + "step": 2208 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001287488498686104, + "loss": 0.8057, + "step": 2209 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001286891662382556, + "loss": 0.812, + "step": 2210 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012862947146977875, + "loss": 0.8101, + "step": 2211 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001285697655863553, + "loss": 0.3361, + "step": 2212 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012851004861116517, + "loss": 0.8386, + "step": 2213 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012845032056739257, + "loss": 0.77, + "step": 2214 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012839058147822593, + "loss": 0.8269, + "step": 2215 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012833083136685802, + "loss": 0.8159, + "step": 2216 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012827107025648594, + "loss": 0.7803, + "step": 2217 + }, + { + "epoch": 0.43, + "learning_rate": 0.000128211298170311, + "loss": 0.8, + "step": 2218 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012815151513153873, + "loss": 0.8538, + "step": 2219 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012809172116337903, + "loss": 0.8872, + "step": 2220 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012803191628904593, + "loss": 0.8398, + "step": 2221 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001279721005317578, + "loss": 0.854, + "step": 2222 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012791227391473705, + "loss": 0.3381, + "step": 2223 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001278524364612106, + "loss": 0.8303, + "step": 2224 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001277925881944093, + "loss": 0.8782, + "step": 2225 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012773272913756833, + "loss": 0.8059, + "step": 2226 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012767285931392704, + "loss": 0.8154, + "step": 2227 + }, + { + "epoch": 0.43, + "learning_rate": 0.000127612978746729, + "loss": 0.8108, + "step": 2228 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001275530874592218, + "loss": 0.8472, + "step": 2229 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001274931854746574, + "loss": 0.7534, + "step": 2230 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001274332728162918, + "loss": 0.7935, + "step": 2231 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001273733495073851, + "loss": 0.811, + "step": 2232 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012731341557120168, + "loss": 0.8245, + "step": 2233 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012725347103100987, + "loss": 0.8118, + "step": 2234 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001271935159100823, + "loss": 0.816, + "step": 2235 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012713355023169547, + "loss": 0.8669, + "step": 2236 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012707357401913022, + "loss": 0.8865, + "step": 2237 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001270135872956714, + "loss": 0.8262, + "step": 2238 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012695359008460785, + "loss": 0.8726, + "step": 2239 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012689358240923262, + "loss": 0.7993, + "step": 2240 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012683356429284273, + "loss": 0.8156, + "step": 2241 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012677353575873924, + "loss": 0.8323, + "step": 2242 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012671349683022735, + "loss": 0.7817, + "step": 2243 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001266534475306162, + "loss": 0.8125, + "step": 2244 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012659338788321905, + "loss": 0.8052, + "step": 2245 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012653331791135308, + "loss": 0.7941, + "step": 2246 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001264732376383395, + "loss": 0.7827, + "step": 2247 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001264131470875036, + "loss": 0.8137, + "step": 2248 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012635304628217452, + "loss": 0.8502, + "step": 2249 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012629293524568555, + "loss": 0.7737, + "step": 2250 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012623281400137384, + "loss": 0.8862, + "step": 2251 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001261726825725805, + "loss": 0.8235, + "step": 2252 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001261125409826506, + "loss": 0.3362, + "step": 2253 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012605238925493325, + "loss": 0.7839, + "step": 2254 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012599222741278135, + "loss": 0.8512, + "step": 2255 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012593205547955185, + "loss": 0.8125, + "step": 2256 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012587187347860553, + "loss": 0.8264, + "step": 2257 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012581168143330714, + "loss": 0.8851, + "step": 2258 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001257514793670253, + "loss": 0.8145, + "step": 2259 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012569126730313255, + "loss": 0.8879, + "step": 2260 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012563104526500522, + "loss": 0.8254, + "step": 2261 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001255708132760236, + "loss": 0.8704, + "step": 2262 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012551057135957186, + "loss": 0.853, + "step": 2263 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012545031953903796, + "loss": 0.3281, + "step": 2264 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001253900578378137, + "loss": 0.8435, + "step": 2265 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012532978627929485, + "loss": 0.8551, + "step": 2266 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012526950488688082, + "loss": 0.772, + "step": 2267 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001252092136839749, + "loss": 0.8284, + "step": 2268 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012514891269398427, + "loss": 0.8784, + "step": 2269 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012508860194031986, + "loss": 0.8181, + "step": 2270 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012502828144639628, + "loss": 0.8357, + "step": 2271 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001249679512356322, + "loss": 0.8668, + "step": 2272 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001249076113314497, + "loss": 0.8582, + "step": 2273 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001248472617572749, + "loss": 0.8809, + "step": 2274 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012478690253653755, + "loss": 0.7847, + "step": 2275 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012472653369267122, + "loss": 0.7952, + "step": 2276 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012466615524911315, + "loss": 0.8081, + "step": 2277 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001246057672293043, + "loss": 0.8181, + "step": 2278 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012454536965668948, + "loss": 0.8035, + "step": 2279 + }, + { + "epoch": 0.44, + "learning_rate": 0.000124484962554717, + "loss": 0.8596, + "step": 2280 + }, + { + "epoch": 0.44, + "learning_rate": 0.000124424545946839, + "loss": 0.8396, + "step": 2281 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012436411985651132, + "loss": 0.8373, + "step": 2282 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001243036843071934, + "loss": 0.9062, + "step": 2283 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001242432393223485, + "loss": 0.8511, + "step": 2284 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001241827849254433, + "loss": 0.7755, + "step": 2285 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001241223211399484, + "loss": 0.8137, + "step": 2286 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012406184798933786, + "loss": 0.8975, + "step": 2287 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012400136549708946, + "loss": 0.8403, + "step": 2288 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012394087368668459, + "loss": 0.8345, + "step": 2289 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012388037258160824, + "loss": 0.8267, + "step": 2290 + }, + { + "epoch": 0.44, + "learning_rate": 0.000123819862205349, + "loss": 0.8129, + "step": 2291 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012375934258139915, + "loss": 0.8308, + "step": 2292 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012369881373325447, + "loss": 0.7938, + "step": 2293 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001236382756844143, + "loss": 0.8451, + "step": 2294 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012357772845838157, + "loss": 0.822, + "step": 2295 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012351717207866291, + "loss": 0.762, + "step": 2296 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001234566065687683, + "loss": 0.8225, + "step": 2297 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001233960319522114, + "loss": 0.798, + "step": 2298 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012333544825250938, + "loss": 0.3303, + "step": 2299 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012327485549318284, + "loss": 0.8894, + "step": 2300 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012321425369775602, + "loss": 0.8345, + "step": 2301 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012315364288975663, + "loss": 0.865, + "step": 2302 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012309302309271587, + "loss": 0.8765, + "step": 2303 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012303239433016842, + "loss": 0.8818, + "step": 2304 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012297175662565247, + "loss": 0.8003, + "step": 2305 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001229111100027097, + "loss": 0.8574, + "step": 2306 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012285045448488511, + "loss": 0.8484, + "step": 2307 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012278979009572736, + "loss": 0.8445, + "step": 2308 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001227291168587884, + "loss": 0.7954, + "step": 2309 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001226684347976237, + "loss": 0.7924, + "step": 2310 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001226077439357921, + "loss": 0.8127, + "step": 2311 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012254704429685593, + "loss": 0.7769, + "step": 2312 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012248633590438083, + "loss": 0.7953, + "step": 2313 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012242561878193588, + "loss": 0.8606, + "step": 2314 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012236489295309362, + "loss": 0.8247, + "step": 2315 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012230415844142984, + "loss": 0.3474, + "step": 2316 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001222434152705238, + "loss": 0.8174, + "step": 2317 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001221826634639581, + "loss": 0.8542, + "step": 2318 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001221219030453187, + "loss": 0.8608, + "step": 2319 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012206113403819479, + "loss": 0.8384, + "step": 2320 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012200035646617911, + "loss": 0.8625, + "step": 2321 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012193957035286755, + "loss": 0.8345, + "step": 2322 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012187877572185937, + "loss": 0.8115, + "step": 2323 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012181797259675714, + "loss": 0.812, + "step": 2324 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012175716100116676, + "loss": 0.897, + "step": 2325 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012169634095869735, + "loss": 0.8643, + "step": 2326 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012163551249296133, + "loss": 0.8574, + "step": 2327 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012157467562757443, + "loss": 0.7834, + "step": 2328 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012151383038615563, + "loss": 0.7854, + "step": 2329 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001214529767923271, + "loss": 0.8157, + "step": 2330 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012139211486971436, + "loss": 0.8254, + "step": 2331 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001213312446419461, + "loss": 0.8665, + "step": 2332 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012127036613265417, + "loss": 0.7888, + "step": 2333 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012120947936547376, + "loss": 0.8159, + "step": 2334 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012114858436404321, + "loss": 0.8103, + "step": 2335 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012108768115200404, + "loss": 0.811, + "step": 2336 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012102676975300094, + "loss": 0.2989, + "step": 2337 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001209658501906819, + "loss": 0.8059, + "step": 2338 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012090492248869793, + "loss": 0.7126, + "step": 2339 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012084398667070325, + "loss": 0.8323, + "step": 2340 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012078304276035526, + "loss": 0.7893, + "step": 2341 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012072209078131451, + "loss": 0.8721, + "step": 2342 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001206611307572446, + "loss": 0.3482, + "step": 2343 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001206001627118124, + "loss": 0.855, + "step": 2344 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012053918666868776, + "loss": 0.8682, + "step": 2345 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012047820265154361, + "loss": 0.8423, + "step": 2346 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012041721068405613, + "loss": 0.848, + "step": 2347 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012035621078990449, + "loss": 0.8633, + "step": 2348 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012029520299277095, + "loss": 0.78, + "step": 2349 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012023418731634077, + "loss": 0.8682, + "step": 2350 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012017316378430243, + "loss": 0.8069, + "step": 2351 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012011213242034733, + "loss": 0.8147, + "step": 2352 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012005109324816992, + "loss": 0.814, + "step": 2353 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011999004629146775, + "loss": 0.8196, + "step": 2354 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011992899157394133, + "loss": 0.8032, + "step": 2355 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011986792911929419, + "loss": 0.8557, + "step": 2356 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011980685895123289, + "loss": 0.8264, + "step": 2357 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011974578109346702, + "loss": 0.8264, + "step": 2358 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011968469556970905, + "loss": 0.7554, + "step": 2359 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011962360240367445, + "loss": 0.8354, + "step": 2360 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011956250161908178, + "loss": 0.8242, + "step": 2361 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001195013932396524, + "loss": 0.8867, + "step": 2362 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011944027728911071, + "loss": 0.8806, + "step": 2363 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011937915379118405, + "loss": 0.3563, + "step": 2364 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011931802276960265, + "loss": 0.7782, + "step": 2365 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011925688424809964, + "loss": 0.8486, + "step": 2366 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011919573825041115, + "loss": 0.8376, + "step": 2367 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011913458480027613, + "loss": 0.7607, + "step": 2368 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011907342392143645, + "loss": 0.7949, + "step": 2369 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011901225563763693, + "loss": 0.8035, + "step": 2370 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011895107997262515, + "loss": 0.8345, + "step": 2371 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011888989695015165, + "loss": 0.79, + "step": 2372 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011882870659396968, + "loss": 0.7781, + "step": 2373 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011876750892783557, + "loss": 0.8079, + "step": 2374 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011870630397550831, + "loss": 0.8474, + "step": 2375 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011864509176074974, + "loss": 0.7903, + "step": 2376 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001185838723073246, + "loss": 0.8079, + "step": 2377 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011852264563900038, + "loss": 0.8109, + "step": 2378 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011846141177954733, + "loss": 0.3349, + "step": 2379 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011840017075273861, + "loss": 0.8528, + "step": 2380 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011833892258235007, + "loss": 0.8323, + "step": 2381 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011827766729216035, + "loss": 0.8184, + "step": 2382 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011821640490595084, + "loss": 0.8516, + "step": 2383 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011815513544750579, + "loss": 0.3232, + "step": 2384 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011809385894061205, + "loss": 0.8044, + "step": 2385 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011803257540905925, + "loss": 0.8296, + "step": 2386 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011797128487663981, + "loss": 0.813, + "step": 2387 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011790998736714883, + "loss": 0.7776, + "step": 2388 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011784868290438404, + "loss": 0.8237, + "step": 2389 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011778737151214605, + "loss": 0.7983, + "step": 2390 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011772605321423799, + "loss": 0.8411, + "step": 2391 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011766472803446575, + "loss": 0.7719, + "step": 2392 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011760339599663787, + "loss": 0.8442, + "step": 2393 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011754205712456557, + "loss": 0.7798, + "step": 2394 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011748071144206266, + "loss": 0.7862, + "step": 2395 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011741935897294571, + "loss": 0.8088, + "step": 2396 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011735799974103388, + "loss": 0.3134, + "step": 2397 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011729663377014888, + "loss": 0.8594, + "step": 2398 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011723526108411509, + "loss": 0.7874, + "step": 2399 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011717388170675954, + "loss": 0.8596, + "step": 2400 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011711249566191178, + "loss": 0.8257, + "step": 2401 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011705110297340397, + "loss": 0.7814, + "step": 2402 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011698970366507096, + "loss": 0.8667, + "step": 2403 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011692829776074998, + "loss": 0.7827, + "step": 2404 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011686688528428098, + "loss": 0.8011, + "step": 2405 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011680546625950635, + "loss": 0.8285, + "step": 2406 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001167440407102711, + "loss": 0.798, + "step": 2407 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011668260866042271, + "loss": 0.8384, + "step": 2408 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011662117013381126, + "loss": 0.8033, + "step": 2409 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011655972515428928, + "loss": 0.8806, + "step": 2410 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001164982737457118, + "loss": 0.7687, + "step": 2411 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011643681593193643, + "loss": 0.3312, + "step": 2412 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011637535173682316, + "loss": 0.8239, + "step": 2413 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011631388118423456, + "loss": 0.8361, + "step": 2414 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011625240429803552, + "loss": 0.7681, + "step": 2415 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001161909211020936, + "loss": 0.8328, + "step": 2416 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011612943162027863, + "loss": 0.8726, + "step": 2417 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011606793587646294, + "loss": 0.79, + "step": 2418 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001160064338945213, + "loss": 0.795, + "step": 2419 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011594492569833094, + "loss": 0.8362, + "step": 2420 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011588341131177136, + "loss": 0.8486, + "step": 2421 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011582189075872468, + "loss": 0.824, + "step": 2422 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011576036406307522, + "loss": 0.8033, + "step": 2423 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011569883124870979, + "loss": 0.7979, + "step": 2424 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011563729233951756, + "loss": 0.8228, + "step": 2425 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011557574735939004, + "loss": 0.8362, + "step": 2426 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011551419633222108, + "loss": 0.8152, + "step": 2427 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011545263928190693, + "loss": 0.8596, + "step": 2428 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011539107623234617, + "loss": 0.8561, + "step": 2429 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001153295072074397, + "loss": 0.3407, + "step": 2430 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011526793223109071, + "loss": 0.8318, + "step": 2431 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011520635132720474, + "loss": 0.8318, + "step": 2432 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001151447645196896, + "loss": 0.8555, + "step": 2433 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011508317183245545, + "loss": 0.8008, + "step": 2434 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011502157328941465, + "loss": 0.8848, + "step": 2435 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011495996891448189, + "loss": 0.7833, + "step": 2436 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011489835873157413, + "loss": 0.8135, + "step": 2437 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011483674276461052, + "loss": 0.7982, + "step": 2438 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011477512103751253, + "loss": 0.8025, + "step": 2439 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011471349357420384, + "loss": 0.8105, + "step": 2440 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011465186039861033, + "loss": 0.3341, + "step": 2441 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011459022153466015, + "loss": 0.8247, + "step": 2442 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011452857700628361, + "loss": 0.8044, + "step": 2443 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011446692683741325, + "loss": 0.7686, + "step": 2444 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011440527105198378, + "loss": 0.8533, + "step": 2445 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001143436096739321, + "loss": 0.8457, + "step": 2446 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011428194272719728, + "loss": 0.8004, + "step": 2447 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011422027023572051, + "loss": 0.3713, + "step": 2448 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011415859222344525, + "loss": 0.8384, + "step": 2449 + }, + { + "epoch": 0.47, + "learning_rate": 0.000114096908714317, + "loss": 0.8464, + "step": 2450 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011403521973228341, + "loss": 0.8406, + "step": 2451 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011397352530129429, + "loss": 0.7727, + "step": 2452 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001139118254453015, + "loss": 0.8774, + "step": 2453 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011385012018825907, + "loss": 0.761, + "step": 2454 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011378840955412313, + "loss": 0.7937, + "step": 2455 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011372669356685183, + "loss": 0.8191, + "step": 2456 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011366497225040548, + "loss": 0.8774, + "step": 2457 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011360324562874643, + "loss": 0.7606, + "step": 2458 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011354151372583901, + "loss": 0.863, + "step": 2459 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011347977656564975, + "loss": 0.3307, + "step": 2460 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011341803417214705, + "loss": 0.8547, + "step": 2461 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011335628656930152, + "loss": 0.7856, + "step": 2462 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001132945337810857, + "loss": 0.79, + "step": 2463 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011323277583147409, + "loss": 0.7687, + "step": 2464 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011317101274444328, + "loss": 0.8259, + "step": 2465 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011310924454397187, + "loss": 0.7782, + "step": 2466 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011304747125404031, + "loss": 0.8643, + "step": 2467 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011298569289863119, + "loss": 0.8181, + "step": 2468 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011292390950172899, + "loss": 0.7871, + "step": 2469 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011286212108732015, + "loss": 0.8218, + "step": 2470 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011280032767939301, + "loss": 0.8467, + "step": 2471 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011273852930193798, + "loss": 0.7996, + "step": 2472 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011267672597894725, + "loss": 0.8491, + "step": 2473 + }, + { + "epoch": 0.48, + "learning_rate": 0.000112614917734415, + "loss": 0.8638, + "step": 2474 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011255310459233737, + "loss": 0.7771, + "step": 2475 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011249128657671233, + "loss": 0.8394, + "step": 2476 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011242946371153972, + "loss": 0.8069, + "step": 2477 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011236763602082137, + "loss": 0.7932, + "step": 2478 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011230580352856088, + "loss": 0.8177, + "step": 2479 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011224396625876375, + "loss": 0.7819, + "step": 2480 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011218212423543734, + "loss": 0.7925, + "step": 2481 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011212027748259086, + "loss": 0.8472, + "step": 2482 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011205842602423537, + "loss": 0.7493, + "step": 2483 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011199656988438372, + "loss": 0.7264, + "step": 2484 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011193470908705055, + "loss": 0.7551, + "step": 2485 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011187284365625242, + "loss": 0.894, + "step": 2486 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011181097361600755, + "loss": 0.7778, + "step": 2487 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011174909899033607, + "loss": 0.8488, + "step": 2488 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011168721980325987, + "loss": 0.8777, + "step": 2489 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001116253360788025, + "loss": 0.7961, + "step": 2490 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011156344784098942, + "loss": 0.8284, + "step": 2491 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011150155511384773, + "loss": 0.8318, + "step": 2492 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011143965792140632, + "loss": 0.8018, + "step": 2493 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011137775628769584, + "loss": 0.8188, + "step": 2494 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011131585023674861, + "loss": 0.8406, + "step": 2495 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011125393979259872, + "loss": 0.8567, + "step": 2496 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011119202497928192, + "loss": 0.8391, + "step": 2497 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011113010582083567, + "loss": 0.7773, + "step": 2498 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011106818234129912, + "loss": 0.8558, + "step": 2499 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011100625456471307, + "loss": 0.7842, + "step": 2500 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011094432251512005, + "loss": 0.8347, + "step": 2501 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011088238621656421, + "loss": 0.7705, + "step": 2502 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011082044569309137, + "loss": 0.8345, + "step": 2503 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011075850096874893, + "loss": 0.7283, + "step": 2504 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011069655206758602, + "loss": 0.8196, + "step": 2505 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011063459901365325, + "loss": 0.814, + "step": 2506 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011057264183100302, + "loss": 0.3365, + "step": 2507 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001105106805436892, + "loss": 0.8115, + "step": 2508 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011044871517576729, + "loss": 0.7693, + "step": 2509 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011038674575129441, + "loss": 0.8875, + "step": 2510 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001103247722943292, + "loss": 0.8281, + "step": 2511 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011026279482893187, + "loss": 0.8867, + "step": 2512 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011020081337916424, + "loss": 0.8523, + "step": 2513 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011013882796908963, + "loss": 0.8354, + "step": 2514 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011007683862277292, + "loss": 0.823, + "step": 2515 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011001484536428051, + "loss": 0.8479, + "step": 2516 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010995284821768028, + "loss": 0.8055, + "step": 2517 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001098908472070417, + "loss": 0.7622, + "step": 2518 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010982884235643567, + "loss": 0.8364, + "step": 2519 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010976683368993464, + "loss": 0.884, + "step": 2520 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010970482123161248, + "loss": 0.8236, + "step": 2521 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010964280500554458, + "loss": 0.7214, + "step": 2522 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010958078503580775, + "loss": 0.8367, + "step": 2523 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010951876134648032, + "loss": 0.7404, + "step": 2524 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010945673396164198, + "loss": 0.8162, + "step": 2525 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010939470290537388, + "loss": 0.7957, + "step": 2526 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010933266820175867, + "loss": 0.8718, + "step": 2527 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010927062987488035, + "loss": 0.8511, + "step": 2528 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010920858794882429, + "loss": 0.8679, + "step": 2529 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010914654244767734, + "loss": 0.8728, + "step": 2530 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010908449339552768, + "loss": 0.8225, + "step": 2531 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010902244081646489, + "loss": 0.8521, + "step": 2532 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010896038473457993, + "loss": 0.8345, + "step": 2533 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010889832517396509, + "loss": 0.8438, + "step": 2534 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010883626215871408, + "loss": 0.8638, + "step": 2535 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010877419571292182, + "loss": 0.8455, + "step": 2536 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010871212586068469, + "loss": 0.7852, + "step": 2537 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010865005262610033, + "loss": 0.7971, + "step": 2538 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010858797603326769, + "loss": 0.8477, + "step": 2539 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001085258961062871, + "loss": 0.8047, + "step": 2540 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010846381286926006, + "loss": 0.7844, + "step": 2541 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010840172634628946, + "loss": 0.8625, + "step": 2542 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010833963656147943, + "loss": 0.8186, + "step": 2543 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010827754353893532, + "loss": 0.8452, + "step": 2544 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010821544730276378, + "loss": 0.8789, + "step": 2545 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010815334787707276, + "loss": 0.8513, + "step": 2546 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010809124528597139, + "loss": 0.8369, + "step": 2547 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010802913955356997, + "loss": 0.7983, + "step": 2548 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010796703070398015, + "loss": 0.834, + "step": 2549 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001079049187613147, + "loss": 0.7771, + "step": 2550 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001078428037496876, + "loss": 0.8281, + "step": 2551 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010778068569321403, + "loss": 0.821, + "step": 2552 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001077185646160104, + "loss": 0.845, + "step": 2553 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010765644054219421, + "loss": 0.7493, + "step": 2554 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001075943134958842, + "loss": 0.8445, + "step": 2555 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010753218350120022, + "loss": 0.8435, + "step": 2556 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010747005058226324, + "loss": 0.8306, + "step": 2557 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010740791476319543, + "loss": 0.3339, + "step": 2558 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010734577606812007, + "loss": 0.834, + "step": 2559 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010728363452116148, + "loss": 0.7964, + "step": 2560 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010722149014644522, + "loss": 0.844, + "step": 2561 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010715934296809782, + "loss": 0.791, + "step": 2562 + }, + { + "epoch": 0.49, + "learning_rate": 0.000107097193010247, + "loss": 0.821, + "step": 2563 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010703504029702148, + "loss": 0.7301, + "step": 2564 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010697288485255106, + "loss": 0.8291, + "step": 2565 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010691072670096669, + "loss": 0.7717, + "step": 2566 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010684856586640026, + "loss": 0.7856, + "step": 2567 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010678640237298476, + "loss": 0.8787, + "step": 2568 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010672423624485421, + "loss": 0.8262, + "step": 2569 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010666206750614362, + "loss": 0.8811, + "step": 2570 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010659989618098905, + "loss": 0.8323, + "step": 2571 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010653772229352749, + "loss": 0.8091, + "step": 2572 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010647554586789708, + "loss": 0.833, + "step": 2573 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001064133669282368, + "loss": 0.8022, + "step": 2574 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010635118549868668, + "loss": 0.8074, + "step": 2575 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010628900160338764, + "loss": 0.8025, + "step": 2576 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010622681526648167, + "loss": 0.7849, + "step": 2577 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010616462651211157, + "loss": 0.8811, + "step": 2578 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010610243536442124, + "loss": 0.8176, + "step": 2579 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010604024184755539, + "loss": 0.8003, + "step": 2580 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010597804598565968, + "loss": 0.761, + "step": 2581 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010591584780288068, + "loss": 0.7692, + "step": 2582 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010585364732336587, + "loss": 0.8107, + "step": 2583 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010579144457126364, + "loss": 0.7734, + "step": 2584 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010572923957072321, + "loss": 0.8367, + "step": 2585 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001056670323458947, + "loss": 0.8276, + "step": 2586 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010560482292092913, + "loss": 0.835, + "step": 2587 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010554261131997834, + "loss": 0.7952, + "step": 2588 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010548039756719497, + "loss": 0.8311, + "step": 2589 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001054181816867326, + "loss": 0.7817, + "step": 2590 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001053559637027455, + "loss": 0.7791, + "step": 2591 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010529374363938889, + "loss": 0.8033, + "step": 2592 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010523152152081874, + "loss": 0.8853, + "step": 2593 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010516929737119181, + "loss": 0.7621, + "step": 2594 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010510707121466567, + "loss": 0.8425, + "step": 2595 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010504484307539863, + "loss": 0.8586, + "step": 2596 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010498261297754983, + "loss": 0.8625, + "step": 2597 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010492038094527907, + "loss": 0.7994, + "step": 2598 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010485814700274706, + "loss": 0.8064, + "step": 2599 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001047959111741151, + "loss": 0.771, + "step": 2600 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010473367348354527, + "loss": 0.8345, + "step": 2601 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010467143395520043, + "loss": 0.8328, + "step": 2602 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001046091926132441, + "loss": 0.3247, + "step": 2603 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010454694948184045, + "loss": 0.8909, + "step": 2604 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010448470458515449, + "loss": 0.8113, + "step": 2605 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010442245794735179, + "loss": 0.7842, + "step": 2606 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010436020959259862, + "loss": 0.8418, + "step": 2607 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010429795954506203, + "loss": 0.8367, + "step": 2608 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001042357078289095, + "loss": 0.8154, + "step": 2609 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010417345446830937, + "loss": 0.8984, + "step": 2610 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010411119948743051, + "loss": 0.7295, + "step": 2611 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010404894291044246, + "loss": 0.8025, + "step": 2612 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010398668476151538, + "loss": 0.8076, + "step": 2613 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010392442506481999, + "loss": 0.7653, + "step": 2614 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001038621638445277, + "loss": 0.8193, + "step": 2615 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010379990112481039, + "loss": 0.3253, + "step": 2616 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010373763692984062, + "loss": 0.8513, + "step": 2617 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010367537128379154, + "loss": 0.7816, + "step": 2618 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010361310421083676, + "loss": 0.8801, + "step": 2619 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010355083573515051, + "loss": 0.8921, + "step": 2620 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010348856588090763, + "loss": 0.7732, + "step": 2621 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010342629467228331, + "loss": 0.7358, + "step": 2622 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010336402213345344, + "loss": 0.8057, + "step": 2623 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010330174828859433, + "loss": 0.834, + "step": 2624 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010323947316188288, + "loss": 0.8157, + "step": 2625 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001031771967774964, + "loss": 0.8162, + "step": 2626 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010311491915961271, + "loss": 0.8157, + "step": 2627 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001030526403324102, + "loss": 0.338, + "step": 2628 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001029903603200676, + "loss": 0.7952, + "step": 2629 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010292807914676412, + "loss": 0.7974, + "step": 2630 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010286579683667952, + "loss": 0.3013, + "step": 2631 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010280351341399392, + "loss": 0.764, + "step": 2632 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001027412289028879, + "loss": 0.8623, + "step": 2633 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010267894332754242, + "loss": 0.7902, + "step": 2634 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010261665671213891, + "loss": 0.7738, + "step": 2635 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010255436908085919, + "loss": 0.8035, + "step": 2636 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010249208045788538, + "loss": 0.7822, + "step": 2637 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010242979086740019, + "loss": 0.8519, + "step": 2638 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010236750033358648, + "loss": 0.8044, + "step": 2639 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010230520888062764, + "loss": 0.8057, + "step": 2640 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010224291653270738, + "loss": 0.7749, + "step": 2641 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010218062331400969, + "loss": 0.8982, + "step": 2642 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010211832924871889, + "loss": 0.8176, + "step": 2643 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010205603436101978, + "loss": 0.8788, + "step": 2644 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010199373867509734, + "loss": 0.7942, + "step": 2645 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001019314422151369, + "loss": 0.8096, + "step": 2646 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010186914500532407, + "loss": 0.7729, + "step": 2647 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010180684706984483, + "loss": 0.8469, + "step": 2648 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010174454843288532, + "loss": 0.781, + "step": 2649 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010168224911863205, + "loss": 0.793, + "step": 2650 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010161994915127173, + "loss": 0.7957, + "step": 2651 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010155764855499139, + "loss": 0.8037, + "step": 2652 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010149534735397823, + "loss": 0.8071, + "step": 2653 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001014330455724198, + "loss": 0.8284, + "step": 2654 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010137074323450371, + "loss": 0.8164, + "step": 2655 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010130844036441786, + "loss": 0.311, + "step": 2656 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010124613698635043, + "loss": 0.7266, + "step": 2657 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010118383312448974, + "loss": 0.8489, + "step": 2658 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010112152880302426, + "loss": 0.7993, + "step": 2659 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010105922404614265, + "loss": 0.3258, + "step": 2660 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010099691887803384, + "loss": 0.8435, + "step": 2661 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010093461332288679, + "loss": 0.7903, + "step": 2662 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010087230740489064, + "loss": 0.3539, + "step": 2663 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010081000114823474, + "loss": 0.8025, + "step": 2664 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001007476945771085, + "loss": 0.7487, + "step": 2665 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010068538771570148, + "loss": 0.8494, + "step": 2666 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010062308058820335, + "loss": 0.7961, + "step": 2667 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010056077321880393, + "loss": 0.8635, + "step": 2668 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010049846563169296, + "loss": 0.7915, + "step": 2669 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010043615785106051, + "loss": 0.833, + "step": 2670 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010037384990109657, + "loss": 0.7996, + "step": 2671 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010031154180599122, + "loss": 0.8445, + "step": 2672 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001002492335899346, + "loss": 0.345, + "step": 2673 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010018692527711695, + "loss": 0.7868, + "step": 2674 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010012461689172845, + "loss": 0.812, + "step": 2675 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010006230845795936, + "loss": 0.8433, + "step": 2676 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001, + "loss": 0.8665, + "step": 2677 + }, + { + "epoch": 0.52, + "learning_rate": 9.993769154204063e-05, + "loss": 0.7955, + "step": 2678 + }, + { + "epoch": 0.52, + "learning_rate": 9.987538310827159e-05, + "loss": 0.8311, + "step": 2679 + }, + { + "epoch": 0.52, + "learning_rate": 9.981307472288309e-05, + "loss": 0.7637, + "step": 2680 + }, + { + "epoch": 0.52, + "learning_rate": 9.975076641006542e-05, + "loss": 0.793, + "step": 2681 + }, + { + "epoch": 0.52, + "learning_rate": 9.968845819400883e-05, + "loss": 0.8843, + "step": 2682 + }, + { + "epoch": 0.52, + "learning_rate": 9.962615009890346e-05, + "loss": 0.7678, + "step": 2683 + }, + { + "epoch": 0.52, + "learning_rate": 9.956384214893949e-05, + "loss": 0.9084, + "step": 2684 + }, + { + "epoch": 0.52, + "learning_rate": 9.950153436830706e-05, + "loss": 0.8079, + "step": 2685 + }, + { + "epoch": 0.52, + "learning_rate": 9.94392267811961e-05, + "loss": 0.8296, + "step": 2686 + }, + { + "epoch": 0.52, + "learning_rate": 9.937691941179665e-05, + "loss": 0.8564, + "step": 2687 + }, + { + "epoch": 0.52, + "learning_rate": 9.931461228429854e-05, + "loss": 0.793, + "step": 2688 + }, + { + "epoch": 0.52, + "learning_rate": 9.925230542289152e-05, + "loss": 0.8406, + "step": 2689 + }, + { + "epoch": 0.52, + "learning_rate": 9.91899988517653e-05, + "loss": 0.801, + "step": 2690 + }, + { + "epoch": 0.52, + "learning_rate": 9.912769259510938e-05, + "loss": 0.8547, + "step": 2691 + }, + { + "epoch": 0.52, + "learning_rate": 9.906538667711322e-05, + "loss": 0.7979, + "step": 2692 + }, + { + "epoch": 0.52, + "learning_rate": 9.900308112196619e-05, + "loss": 0.8337, + "step": 2693 + }, + { + "epoch": 0.52, + "learning_rate": 9.894077595385737e-05, + "loss": 0.8286, + "step": 2694 + }, + { + "epoch": 0.52, + "learning_rate": 9.887847119697578e-05, + "loss": 0.7719, + "step": 2695 + }, + { + "epoch": 0.52, + "learning_rate": 9.88161668755103e-05, + "loss": 0.8104, + "step": 2696 + }, + { + "epoch": 0.52, + "learning_rate": 9.875386301364958e-05, + "loss": 0.7427, + "step": 2697 + }, + { + "epoch": 0.52, + "learning_rate": 9.869155963558215e-05, + "loss": 0.7124, + "step": 2698 + }, + { + "epoch": 0.52, + "learning_rate": 9.862925676549635e-05, + "loss": 0.8372, + "step": 2699 + }, + { + "epoch": 0.52, + "learning_rate": 9.856695442758023e-05, + "loss": 0.8113, + "step": 2700 + }, + { + "epoch": 0.52, + "learning_rate": 9.850465264602176e-05, + "loss": 0.866, + "step": 2701 + }, + { + "epoch": 0.52, + "learning_rate": 9.844235144500864e-05, + "loss": 0.8547, + "step": 2702 + }, + { + "epoch": 0.52, + "learning_rate": 9.83800508487283e-05, + "loss": 0.8108, + "step": 2703 + }, + { + "epoch": 0.52, + "learning_rate": 9.831775088136796e-05, + "loss": 0.7964, + "step": 2704 + }, + { + "epoch": 0.52, + "learning_rate": 9.825545156711472e-05, + "loss": 0.8098, + "step": 2705 + }, + { + "epoch": 0.52, + "learning_rate": 9.819315293015518e-05, + "loss": 0.8081, + "step": 2706 + }, + { + "epoch": 0.52, + "learning_rate": 9.813085499467594e-05, + "loss": 0.8506, + "step": 2707 + }, + { + "epoch": 0.52, + "learning_rate": 9.806855778486315e-05, + "loss": 0.8376, + "step": 2708 + }, + { + "epoch": 0.52, + "learning_rate": 9.800626132490269e-05, + "loss": 0.7772, + "step": 2709 + }, + { + "epoch": 0.52, + "learning_rate": 9.794396563898022e-05, + "loss": 0.8169, + "step": 2710 + }, + { + "epoch": 0.52, + "learning_rate": 9.788167075128113e-05, + "loss": 0.8191, + "step": 2711 + }, + { + "epoch": 0.52, + "learning_rate": 9.781937668599035e-05, + "loss": 0.8291, + "step": 2712 + }, + { + "epoch": 0.52, + "learning_rate": 9.775708346729263e-05, + "loss": 0.8225, + "step": 2713 + }, + { + "epoch": 0.52, + "learning_rate": 9.769479111937238e-05, + "loss": 0.7744, + "step": 2714 + }, + { + "epoch": 0.52, + "learning_rate": 9.763249966641353e-05, + "loss": 0.7983, + "step": 2715 + }, + { + "epoch": 0.52, + "learning_rate": 9.757020913259987e-05, + "loss": 0.8066, + "step": 2716 + }, + { + "epoch": 0.52, + "learning_rate": 9.750791954211464e-05, + "loss": 0.7733, + "step": 2717 + }, + { + "epoch": 0.52, + "learning_rate": 9.744563091914085e-05, + "loss": 0.8093, + "step": 2718 + }, + { + "epoch": 0.52, + "learning_rate": 9.738334328786112e-05, + "loss": 0.8145, + "step": 2719 + }, + { + "epoch": 0.52, + "learning_rate": 9.732105667245759e-05, + "loss": 0.8342, + "step": 2720 + }, + { + "epoch": 0.52, + "learning_rate": 9.725877109711212e-05, + "loss": 0.7781, + "step": 2721 + }, + { + "epoch": 0.52, + "learning_rate": 9.71964865860061e-05, + "loss": 0.856, + "step": 2722 + }, + { + "epoch": 0.52, + "learning_rate": 9.713420316332049e-05, + "loss": 0.814, + "step": 2723 + }, + { + "epoch": 0.52, + "learning_rate": 9.707192085323589e-05, + "loss": 0.801, + "step": 2724 + }, + { + "epoch": 0.52, + "learning_rate": 9.700963967993246e-05, + "loss": 0.7689, + "step": 2725 + }, + { + "epoch": 0.52, + "learning_rate": 9.694735966758982e-05, + "loss": 0.7859, + "step": 2726 + }, + { + "epoch": 0.52, + "learning_rate": 9.688508084038729e-05, + "loss": 0.8472, + "step": 2727 + }, + { + "epoch": 0.52, + "learning_rate": 9.682280322250366e-05, + "loss": 0.8445, + "step": 2728 + }, + { + "epoch": 0.53, + "learning_rate": 9.676052683811715e-05, + "loss": 0.793, + "step": 2729 + }, + { + "epoch": 0.53, + "learning_rate": 9.669825171140568e-05, + "loss": 0.8689, + "step": 2730 + }, + { + "epoch": 0.53, + "learning_rate": 9.66359778665466e-05, + "loss": 0.7959, + "step": 2731 + }, + { + "epoch": 0.53, + "learning_rate": 9.657370532771671e-05, + "loss": 0.8589, + "step": 2732 + }, + { + "epoch": 0.53, + "learning_rate": 9.65114341190924e-05, + "loss": 0.8054, + "step": 2733 + }, + { + "epoch": 0.53, + "learning_rate": 9.64491642648495e-05, + "loss": 0.8394, + "step": 2734 + }, + { + "epoch": 0.53, + "learning_rate": 9.638689578916326e-05, + "loss": 0.813, + "step": 2735 + }, + { + "epoch": 0.53, + "learning_rate": 9.632462871620847e-05, + "loss": 0.7928, + "step": 2736 + }, + { + "epoch": 0.53, + "learning_rate": 9.62623630701594e-05, + "loss": 0.7727, + "step": 2737 + }, + { + "epoch": 0.53, + "learning_rate": 9.620009887518963e-05, + "loss": 0.7666, + "step": 2738 + }, + { + "epoch": 0.53, + "learning_rate": 9.613783615547233e-05, + "loss": 0.7891, + "step": 2739 + }, + { + "epoch": 0.53, + "learning_rate": 9.607557493518005e-05, + "loss": 0.7998, + "step": 2740 + }, + { + "epoch": 0.53, + "learning_rate": 9.601331523848464e-05, + "loss": 0.8167, + "step": 2741 + }, + { + "epoch": 0.53, + "learning_rate": 9.595105708955757e-05, + "loss": 0.7889, + "step": 2742 + }, + { + "epoch": 0.53, + "learning_rate": 9.588880051256951e-05, + "loss": 0.3776, + "step": 2743 + }, + { + "epoch": 0.53, + "learning_rate": 9.582654553169064e-05, + "loss": 0.8181, + "step": 2744 + }, + { + "epoch": 0.53, + "learning_rate": 9.576429217109053e-05, + "loss": 0.8506, + "step": 2745 + }, + { + "epoch": 0.53, + "learning_rate": 9.5702040454938e-05, + "loss": 0.8079, + "step": 2746 + }, + { + "epoch": 0.53, + "learning_rate": 9.563979040740138e-05, + "loss": 0.8083, + "step": 2747 + }, + { + "epoch": 0.53, + "learning_rate": 9.557754205264826e-05, + "loss": 0.8181, + "step": 2748 + }, + { + "epoch": 0.53, + "learning_rate": 9.551529541484554e-05, + "loss": 0.8389, + "step": 2749 + }, + { + "epoch": 0.53, + "learning_rate": 9.545305051815956e-05, + "loss": 0.8447, + "step": 2750 + }, + { + "epoch": 0.53, + "learning_rate": 9.539080738675597e-05, + "loss": 0.7444, + "step": 2751 + }, + { + "epoch": 0.53, + "learning_rate": 9.53285660447996e-05, + "loss": 0.8433, + "step": 2752 + }, + { + "epoch": 0.53, + "learning_rate": 9.526632651645475e-05, + "loss": 0.7803, + "step": 2753 + }, + { + "epoch": 0.53, + "learning_rate": 9.520408882588497e-05, + "loss": 0.7653, + "step": 2754 + }, + { + "epoch": 0.53, + "learning_rate": 9.514185299725298e-05, + "loss": 0.8621, + "step": 2755 + }, + { + "epoch": 0.53, + "learning_rate": 9.507961905472093e-05, + "loss": 0.8806, + "step": 2756 + }, + { + "epoch": 0.53, + "learning_rate": 9.501738702245022e-05, + "loss": 0.8611, + "step": 2757 + }, + { + "epoch": 0.53, + "learning_rate": 9.495515692460138e-05, + "loss": 0.7715, + "step": 2758 + }, + { + "epoch": 0.53, + "learning_rate": 9.489292878533434e-05, + "loss": 0.7966, + "step": 2759 + }, + { + "epoch": 0.53, + "learning_rate": 9.483070262880822e-05, + "loss": 0.824, + "step": 2760 + }, + { + "epoch": 0.53, + "learning_rate": 9.476847847918127e-05, + "loss": 0.7729, + "step": 2761 + }, + { + "epoch": 0.53, + "learning_rate": 9.47062563606111e-05, + "loss": 0.3372, + "step": 2762 + }, + { + "epoch": 0.53, + "learning_rate": 9.464403629725453e-05, + "loss": 0.8401, + "step": 2763 + }, + { + "epoch": 0.53, + "learning_rate": 9.458181831326743e-05, + "loss": 0.8635, + "step": 2764 + }, + { + "epoch": 0.53, + "learning_rate": 9.451960243280506e-05, + "loss": 0.7461, + "step": 2765 + }, + { + "epoch": 0.53, + "learning_rate": 9.44573886800217e-05, + "loss": 0.8157, + "step": 2766 + }, + { + "epoch": 0.53, + "learning_rate": 9.439517707907088e-05, + "loss": 0.7892, + "step": 2767 + }, + { + "epoch": 0.53, + "learning_rate": 9.433296765410534e-05, + "loss": 0.8579, + "step": 2768 + }, + { + "epoch": 0.53, + "learning_rate": 9.427076042927683e-05, + "loss": 0.7959, + "step": 2769 + }, + { + "epoch": 0.53, + "learning_rate": 9.420855542873637e-05, + "loss": 0.8291, + "step": 2770 + }, + { + "epoch": 0.53, + "learning_rate": 9.414635267663417e-05, + "loss": 0.8105, + "step": 2771 + }, + { + "epoch": 0.53, + "learning_rate": 9.408415219711934e-05, + "loss": 0.8184, + "step": 2772 + }, + { + "epoch": 0.53, + "learning_rate": 9.402195401434036e-05, + "loss": 0.803, + "step": 2773 + }, + { + "epoch": 0.53, + "learning_rate": 9.395975815244466e-05, + "loss": 0.8613, + "step": 2774 + }, + { + "epoch": 0.53, + "learning_rate": 9.389756463557878e-05, + "loss": 0.8743, + "step": 2775 + }, + { + "epoch": 0.53, + "learning_rate": 9.383537348788843e-05, + "loss": 0.3419, + "step": 2776 + }, + { + "epoch": 0.53, + "learning_rate": 9.377318473351838e-05, + "loss": 0.7804, + "step": 2777 + }, + { + "epoch": 0.53, + "learning_rate": 9.371099839661238e-05, + "loss": 0.757, + "step": 2778 + }, + { + "epoch": 0.53, + "learning_rate": 9.364881450131336e-05, + "loss": 0.824, + "step": 2779 + }, + { + "epoch": 0.53, + "learning_rate": 9.358663307176323e-05, + "loss": 0.8232, + "step": 2780 + }, + { + "epoch": 0.54, + "learning_rate": 9.352445413210293e-05, + "loss": 0.8518, + "step": 2781 + }, + { + "epoch": 0.54, + "learning_rate": 9.34622777064725e-05, + "loss": 0.7908, + "step": 2782 + }, + { + "epoch": 0.54, + "learning_rate": 9.340010381901101e-05, + "loss": 0.8279, + "step": 2783 + }, + { + "epoch": 0.54, + "learning_rate": 9.33379324938564e-05, + "loss": 0.7896, + "step": 2784 + }, + { + "epoch": 0.54, + "learning_rate": 9.327576375514581e-05, + "loss": 0.8259, + "step": 2785 + }, + { + "epoch": 0.54, + "learning_rate": 9.321359762701526e-05, + "loss": 0.8104, + "step": 2786 + }, + { + "epoch": 0.54, + "learning_rate": 9.315143413359976e-05, + "loss": 0.77, + "step": 2787 + }, + { + "epoch": 0.54, + "learning_rate": 9.308927329903332e-05, + "loss": 0.8079, + "step": 2788 + }, + { + "epoch": 0.54, + "learning_rate": 9.302711514744896e-05, + "loss": 0.8442, + "step": 2789 + }, + { + "epoch": 0.54, + "learning_rate": 9.296495970297854e-05, + "loss": 0.844, + "step": 2790 + }, + { + "epoch": 0.54, + "learning_rate": 9.290280698975306e-05, + "loss": 0.7987, + "step": 2791 + }, + { + "epoch": 0.54, + "learning_rate": 9.28406570319022e-05, + "loss": 0.8599, + "step": 2792 + }, + { + "epoch": 0.54, + "learning_rate": 9.27785098535548e-05, + "loss": 0.7904, + "step": 2793 + }, + { + "epoch": 0.54, + "learning_rate": 9.271636547883856e-05, + "loss": 0.8274, + "step": 2794 + }, + { + "epoch": 0.54, + "learning_rate": 9.265422393187997e-05, + "loss": 0.8237, + "step": 2795 + }, + { + "epoch": 0.54, + "learning_rate": 9.259208523680458e-05, + "loss": 0.7808, + "step": 2796 + }, + { + "epoch": 0.54, + "learning_rate": 9.252994941773678e-05, + "loss": 0.8206, + "step": 2797 + }, + { + "epoch": 0.54, + "learning_rate": 9.24678164987998e-05, + "loss": 0.8345, + "step": 2798 + }, + { + "epoch": 0.54, + "learning_rate": 9.240568650411581e-05, + "loss": 0.8013, + "step": 2799 + }, + { + "epoch": 0.54, + "learning_rate": 9.234355945780581e-05, + "loss": 0.8113, + "step": 2800 + }, + { + "epoch": 0.54, + "learning_rate": 9.228143538398962e-05, + "loss": 0.7683, + "step": 2801 + }, + { + "epoch": 0.54, + "learning_rate": 9.221931430678598e-05, + "loss": 0.8381, + "step": 2802 + }, + { + "epoch": 0.54, + "learning_rate": 9.215719625031245e-05, + "loss": 0.8032, + "step": 2803 + }, + { + "epoch": 0.54, + "learning_rate": 9.209508123868533e-05, + "loss": 0.8149, + "step": 2804 + }, + { + "epoch": 0.54, + "learning_rate": 9.203296929601986e-05, + "loss": 0.837, + "step": 2805 + }, + { + "epoch": 0.54, + "learning_rate": 9.197086044643004e-05, + "loss": 0.7983, + "step": 2806 + }, + { + "epoch": 0.54, + "learning_rate": 9.190875471402865e-05, + "loss": 0.3377, + "step": 2807 + }, + { + "epoch": 0.54, + "learning_rate": 9.184665212292722e-05, + "loss": 0.7748, + "step": 2808 + }, + { + "epoch": 0.54, + "learning_rate": 9.178455269723623e-05, + "loss": 0.7957, + "step": 2809 + }, + { + "epoch": 0.54, + "learning_rate": 9.172245646106469e-05, + "loss": 0.8176, + "step": 2810 + }, + { + "epoch": 0.54, + "learning_rate": 9.16603634385206e-05, + "loss": 0.8222, + "step": 2811 + }, + { + "epoch": 0.54, + "learning_rate": 9.159827365371056e-05, + "loss": 0.7942, + "step": 2812 + }, + { + "epoch": 0.54, + "learning_rate": 9.153618713073995e-05, + "loss": 0.7971, + "step": 2813 + }, + { + "epoch": 0.54, + "learning_rate": 9.14741038937129e-05, + "loss": 0.7489, + "step": 2814 + }, + { + "epoch": 0.54, + "learning_rate": 9.141202396673232e-05, + "loss": 0.7994, + "step": 2815 + }, + { + "epoch": 0.54, + "learning_rate": 9.134994737389969e-05, + "loss": 0.8679, + "step": 2816 + }, + { + "epoch": 0.54, + "learning_rate": 9.128787413931536e-05, + "loss": 0.8013, + "step": 2817 + }, + { + "epoch": 0.54, + "learning_rate": 9.12258042870782e-05, + "loss": 0.8423, + "step": 2818 + }, + { + "epoch": 0.54, + "learning_rate": 9.116373784128596e-05, + "loss": 0.7629, + "step": 2819 + }, + { + "epoch": 0.54, + "learning_rate": 9.110167482603494e-05, + "loss": 0.7777, + "step": 2820 + }, + { + "epoch": 0.54, + "learning_rate": 9.10396152654201e-05, + "loss": 0.8263, + "step": 2821 + }, + { + "epoch": 0.54, + "learning_rate": 9.097755918353512e-05, + "loss": 0.8237, + "step": 2822 + }, + { + "epoch": 0.54, + "learning_rate": 9.091550660447235e-05, + "loss": 0.8831, + "step": 2823 + }, + { + "epoch": 0.54, + "learning_rate": 9.085345755232268e-05, + "loss": 0.8733, + "step": 2824 + }, + { + "epoch": 0.54, + "learning_rate": 9.079141205117572e-05, + "loss": 0.8701, + "step": 2825 + }, + { + "epoch": 0.54, + "learning_rate": 9.072937012511969e-05, + "loss": 0.3157, + "step": 2826 + }, + { + "epoch": 0.54, + "learning_rate": 9.066733179824134e-05, + "loss": 0.7686, + "step": 2827 + }, + { + "epoch": 0.54, + "learning_rate": 9.060529709462611e-05, + "loss": 0.7104, + "step": 2828 + }, + { + "epoch": 0.54, + "learning_rate": 9.054326603835807e-05, + "loss": 0.832, + "step": 2829 + }, + { + "epoch": 0.54, + "learning_rate": 9.04812386535197e-05, + "loss": 0.7343, + "step": 2830 + }, + { + "epoch": 0.54, + "learning_rate": 9.041921496419226e-05, + "loss": 0.7891, + "step": 2831 + }, + { + "epoch": 0.54, + "learning_rate": 9.035719499445544e-05, + "loss": 0.7703, + "step": 2832 + }, + { + "epoch": 0.55, + "learning_rate": 9.029517876838755e-05, + "loss": 0.8062, + "step": 2833 + }, + { + "epoch": 0.55, + "learning_rate": 9.023316631006537e-05, + "loss": 0.856, + "step": 2834 + }, + { + "epoch": 0.55, + "learning_rate": 9.017115764356435e-05, + "loss": 0.8064, + "step": 2835 + }, + { + "epoch": 0.55, + "learning_rate": 9.010915279295831e-05, + "loss": 0.7983, + "step": 2836 + }, + { + "epoch": 0.55, + "learning_rate": 9.004715178231975e-05, + "loss": 0.8046, + "step": 2837 + }, + { + "epoch": 0.55, + "learning_rate": 8.998515463571953e-05, + "loss": 0.8259, + "step": 2838 + }, + { + "epoch": 0.55, + "learning_rate": 8.99231613772271e-05, + "loss": 0.8242, + "step": 2839 + }, + { + "epoch": 0.55, + "learning_rate": 8.986117203091042e-05, + "loss": 0.7822, + "step": 2840 + }, + { + "epoch": 0.55, + "learning_rate": 8.97991866208358e-05, + "loss": 0.8389, + "step": 2841 + }, + { + "epoch": 0.55, + "learning_rate": 8.973720517106814e-05, + "loss": 0.8726, + "step": 2842 + }, + { + "epoch": 0.55, + "learning_rate": 8.967522770567084e-05, + "loss": 0.8306, + "step": 2843 + }, + { + "epoch": 0.55, + "learning_rate": 8.961325424870561e-05, + "loss": 0.8247, + "step": 2844 + }, + { + "epoch": 0.55, + "learning_rate": 8.955128482423272e-05, + "loss": 0.7822, + "step": 2845 + }, + { + "epoch": 0.55, + "learning_rate": 8.948931945631082e-05, + "loss": 0.8005, + "step": 2846 + }, + { + "epoch": 0.55, + "learning_rate": 8.9427358168997e-05, + "loss": 0.8208, + "step": 2847 + }, + { + "epoch": 0.55, + "learning_rate": 8.936540098634674e-05, + "loss": 0.7893, + "step": 2848 + }, + { + "epoch": 0.55, + "learning_rate": 8.930344793241403e-05, + "loss": 0.8052, + "step": 2849 + }, + { + "epoch": 0.55, + "learning_rate": 8.924149903125108e-05, + "loss": 0.7864, + "step": 2850 + }, + { + "epoch": 0.55, + "learning_rate": 8.917955430690865e-05, + "loss": 0.8154, + "step": 2851 + }, + { + "epoch": 0.55, + "learning_rate": 8.91176137834358e-05, + "loss": 0.8123, + "step": 2852 + }, + { + "epoch": 0.55, + "learning_rate": 8.905567748487996e-05, + "loss": 0.8213, + "step": 2853 + }, + { + "epoch": 0.55, + "learning_rate": 8.899374543528694e-05, + "loss": 0.8069, + "step": 2854 + }, + { + "epoch": 0.55, + "learning_rate": 8.893181765870094e-05, + "loss": 0.7783, + "step": 2855 + }, + { + "epoch": 0.55, + "learning_rate": 8.886989417916435e-05, + "loss": 0.8162, + "step": 2856 + }, + { + "epoch": 0.55, + "learning_rate": 8.880797502071809e-05, + "loss": 0.7838, + "step": 2857 + }, + { + "epoch": 0.55, + "learning_rate": 8.87460602074013e-05, + "loss": 0.8164, + "step": 2858 + }, + { + "epoch": 0.55, + "learning_rate": 8.86841497632514e-05, + "loss": 0.7761, + "step": 2859 + }, + { + "epoch": 0.55, + "learning_rate": 8.862224371230417e-05, + "loss": 0.3472, + "step": 2860 + }, + { + "epoch": 0.55, + "learning_rate": 8.85603420785937e-05, + "loss": 0.8789, + "step": 2861 + }, + { + "epoch": 0.55, + "learning_rate": 8.84984448861523e-05, + "loss": 0.7568, + "step": 2862 + }, + { + "epoch": 0.55, + "learning_rate": 8.843655215901059e-05, + "loss": 0.8176, + "step": 2863 + }, + { + "epoch": 0.55, + "learning_rate": 8.837466392119752e-05, + "loss": 0.7905, + "step": 2864 + }, + { + "epoch": 0.55, + "learning_rate": 8.831278019674016e-05, + "loss": 0.8223, + "step": 2865 + }, + { + "epoch": 0.55, + "learning_rate": 8.825090100966395e-05, + "loss": 0.7705, + "step": 2866 + }, + { + "epoch": 0.55, + "learning_rate": 8.818902638399246e-05, + "loss": 0.8531, + "step": 2867 + }, + { + "epoch": 0.55, + "learning_rate": 8.81271563437476e-05, + "loss": 0.834, + "step": 2868 + }, + { + "epoch": 0.55, + "learning_rate": 8.806529091294948e-05, + "loss": 0.8135, + "step": 2869 + }, + { + "epoch": 0.55, + "learning_rate": 8.800343011561632e-05, + "loss": 0.7896, + "step": 2870 + }, + { + "epoch": 0.55, + "learning_rate": 8.794157397576464e-05, + "loss": 0.8083, + "step": 2871 + }, + { + "epoch": 0.55, + "learning_rate": 8.787972251740915e-05, + "loss": 0.8016, + "step": 2872 + }, + { + "epoch": 0.55, + "learning_rate": 8.781787576456268e-05, + "loss": 0.851, + "step": 2873 + }, + { + "epoch": 0.55, + "learning_rate": 8.775603374123626e-05, + "loss": 0.7703, + "step": 2874 + }, + { + "epoch": 0.55, + "learning_rate": 8.769419647143917e-05, + "loss": 0.8225, + "step": 2875 + }, + { + "epoch": 0.55, + "learning_rate": 8.763236397917864e-05, + "loss": 0.8582, + "step": 2876 + }, + { + "epoch": 0.55, + "learning_rate": 8.757053628846029e-05, + "loss": 0.8162, + "step": 2877 + }, + { + "epoch": 0.55, + "learning_rate": 8.750871342328771e-05, + "loss": 0.8086, + "step": 2878 + }, + { + "epoch": 0.55, + "learning_rate": 8.744689540766264e-05, + "loss": 0.8008, + "step": 2879 + }, + { + "epoch": 0.55, + "learning_rate": 8.7385082265585e-05, + "loss": 0.791, + "step": 2880 + }, + { + "epoch": 0.55, + "learning_rate": 8.732327402105279e-05, + "loss": 0.8557, + "step": 2881 + }, + { + "epoch": 0.55, + "learning_rate": 8.726147069806205e-05, + "loss": 0.7949, + "step": 2882 + }, + { + "epoch": 0.55, + "learning_rate": 8.719967232060697e-05, + "loss": 0.7843, + "step": 2883 + }, + { + "epoch": 0.55, + "learning_rate": 8.713787891267989e-05, + "loss": 0.8384, + "step": 2884 + }, + { + "epoch": 0.56, + "learning_rate": 8.707609049827102e-05, + "loss": 0.8635, + "step": 2885 + }, + { + "epoch": 0.56, + "learning_rate": 8.70143071013688e-05, + "loss": 0.7388, + "step": 2886 + }, + { + "epoch": 0.56, + "learning_rate": 8.695252874595971e-05, + "loss": 0.8176, + "step": 2887 + }, + { + "epoch": 0.56, + "learning_rate": 8.689075545602815e-05, + "loss": 0.8584, + "step": 2888 + }, + { + "epoch": 0.56, + "learning_rate": 8.68289872555567e-05, + "loss": 0.8354, + "step": 2889 + }, + { + "epoch": 0.56, + "learning_rate": 8.676722416852594e-05, + "loss": 0.8154, + "step": 2890 + }, + { + "epoch": 0.56, + "learning_rate": 8.670546621891434e-05, + "loss": 0.8118, + "step": 2891 + }, + { + "epoch": 0.56, + "learning_rate": 8.664371343069849e-05, + "loss": 0.8064, + "step": 2892 + }, + { + "epoch": 0.56, + "learning_rate": 8.658196582785296e-05, + "loss": 0.8237, + "step": 2893 + }, + { + "epoch": 0.56, + "learning_rate": 8.652022343435028e-05, + "loss": 0.8672, + "step": 2894 + }, + { + "epoch": 0.56, + "learning_rate": 8.645848627416103e-05, + "loss": 0.7422, + "step": 2895 + }, + { + "epoch": 0.56, + "learning_rate": 8.63967543712536e-05, + "loss": 0.8499, + "step": 2896 + }, + { + "epoch": 0.56, + "learning_rate": 8.633502774959453e-05, + "loss": 0.7869, + "step": 2897 + }, + { + "epoch": 0.56, + "learning_rate": 8.627330643314818e-05, + "loss": 0.7874, + "step": 2898 + }, + { + "epoch": 0.56, + "learning_rate": 8.62115904458769e-05, + "loss": 0.7584, + "step": 2899 + }, + { + "epoch": 0.56, + "learning_rate": 8.614987981174094e-05, + "loss": 0.8198, + "step": 2900 + }, + { + "epoch": 0.56, + "learning_rate": 8.608817455469854e-05, + "loss": 0.8223, + "step": 2901 + }, + { + "epoch": 0.56, + "learning_rate": 8.602647469870574e-05, + "loss": 0.7988, + "step": 2902 + }, + { + "epoch": 0.56, + "learning_rate": 8.596478026771659e-05, + "loss": 0.7445, + "step": 2903 + }, + { + "epoch": 0.56, + "learning_rate": 8.590309128568303e-05, + "loss": 0.8452, + "step": 2904 + }, + { + "epoch": 0.56, + "learning_rate": 8.584140777655476e-05, + "loss": 0.3152, + "step": 2905 + }, + { + "epoch": 0.56, + "learning_rate": 8.577972976427949e-05, + "loss": 0.8152, + "step": 2906 + }, + { + "epoch": 0.56, + "learning_rate": 8.571805727280277e-05, + "loss": 0.8021, + "step": 2907 + }, + { + "epoch": 0.56, + "learning_rate": 8.565639032606794e-05, + "loss": 0.8564, + "step": 2908 + }, + { + "epoch": 0.56, + "learning_rate": 8.559472894801623e-05, + "loss": 0.8516, + "step": 2909 + }, + { + "epoch": 0.56, + "learning_rate": 8.553307316258677e-05, + "loss": 0.8938, + "step": 2910 + }, + { + "epoch": 0.56, + "learning_rate": 8.547142299371641e-05, + "loss": 0.8025, + "step": 2911 + }, + { + "epoch": 0.56, + "learning_rate": 8.540977846533985e-05, + "loss": 0.8667, + "step": 2912 + }, + { + "epoch": 0.56, + "learning_rate": 8.534813960138969e-05, + "loss": 0.8591, + "step": 2913 + }, + { + "epoch": 0.56, + "learning_rate": 8.528650642579617e-05, + "loss": 0.7961, + "step": 2914 + }, + { + "epoch": 0.56, + "learning_rate": 8.522487896248749e-05, + "loss": 0.7917, + "step": 2915 + }, + { + "epoch": 0.56, + "learning_rate": 8.51632572353895e-05, + "loss": 0.8369, + "step": 2916 + }, + { + "epoch": 0.56, + "learning_rate": 8.51016412684259e-05, + "loss": 0.7856, + "step": 2917 + }, + { + "epoch": 0.56, + "learning_rate": 8.504003108551814e-05, + "loss": 0.8059, + "step": 2918 + }, + { + "epoch": 0.56, + "learning_rate": 8.497842671058538e-05, + "loss": 0.7988, + "step": 2919 + }, + { + "epoch": 0.56, + "learning_rate": 8.491682816754456e-05, + "loss": 0.8284, + "step": 2920 + }, + { + "epoch": 0.56, + "learning_rate": 8.485523548031042e-05, + "loss": 0.8303, + "step": 2921 + }, + { + "epoch": 0.56, + "learning_rate": 8.479364867279529e-05, + "loss": 0.7605, + "step": 2922 + }, + { + "epoch": 0.56, + "learning_rate": 8.47320677689093e-05, + "loss": 0.8098, + "step": 2923 + }, + { + "epoch": 0.56, + "learning_rate": 8.467049279256033e-05, + "loss": 0.8167, + "step": 2924 + }, + { + "epoch": 0.56, + "learning_rate": 8.460892376765386e-05, + "loss": 0.8608, + "step": 2925 + }, + { + "epoch": 0.56, + "learning_rate": 8.454736071809308e-05, + "loss": 0.8453, + "step": 2926 + }, + { + "epoch": 0.56, + "learning_rate": 8.448580366777897e-05, + "loss": 0.8298, + "step": 2927 + }, + { + "epoch": 0.56, + "learning_rate": 8.442425264061e-05, + "loss": 0.8213, + "step": 2928 + }, + { + "epoch": 0.56, + "learning_rate": 8.436270766048245e-05, + "loss": 0.7625, + "step": 2929 + }, + { + "epoch": 0.56, + "learning_rate": 8.430116875129022e-05, + "loss": 0.8232, + "step": 2930 + }, + { + "epoch": 0.56, + "learning_rate": 8.42396359369248e-05, + "loss": 0.7957, + "step": 2931 + }, + { + "epoch": 0.56, + "learning_rate": 8.417810924127533e-05, + "loss": 0.8018, + "step": 2932 + }, + { + "epoch": 0.56, + "learning_rate": 8.411658868822866e-05, + "loss": 0.8481, + "step": 2933 + }, + { + "epoch": 0.56, + "learning_rate": 8.40550743016691e-05, + "loss": 0.7639, + "step": 2934 + }, + { + "epoch": 0.56, + "learning_rate": 8.399356610547869e-05, + "loss": 0.8022, + "step": 2935 + }, + { + "epoch": 0.56, + "learning_rate": 8.39320641235371e-05, + "loss": 0.8379, + "step": 2936 + }, + { + "epoch": 0.57, + "learning_rate": 8.38705683797214e-05, + "loss": 0.8745, + "step": 2937 + }, + { + "epoch": 0.57, + "learning_rate": 8.380907889790641e-05, + "loss": 0.8267, + "step": 2938 + }, + { + "epoch": 0.57, + "learning_rate": 8.374759570196449e-05, + "loss": 0.8604, + "step": 2939 + }, + { + "epoch": 0.57, + "learning_rate": 8.368611881576547e-05, + "loss": 0.8562, + "step": 2940 + }, + { + "epoch": 0.57, + "learning_rate": 8.362464826317686e-05, + "loss": 0.8176, + "step": 2941 + }, + { + "epoch": 0.57, + "learning_rate": 8.356318406806358e-05, + "loss": 0.8064, + "step": 2942 + }, + { + "epoch": 0.57, + "learning_rate": 8.35017262542882e-05, + "loss": 0.9089, + "step": 2943 + }, + { + "epoch": 0.57, + "learning_rate": 8.344027484571075e-05, + "loss": 0.7338, + "step": 2944 + }, + { + "epoch": 0.57, + "learning_rate": 8.337882986618876e-05, + "loss": 0.8354, + "step": 2945 + }, + { + "epoch": 0.57, + "learning_rate": 8.331739133957728e-05, + "loss": 0.3323, + "step": 2946 + }, + { + "epoch": 0.57, + "learning_rate": 8.325595928972894e-05, + "loss": 0.8462, + "step": 2947 + }, + { + "epoch": 0.57, + "learning_rate": 8.319453374049366e-05, + "loss": 0.8228, + "step": 2948 + }, + { + "epoch": 0.57, + "learning_rate": 8.313311471571901e-05, + "loss": 0.8354, + "step": 2949 + }, + { + "epoch": 0.57, + "learning_rate": 8.307170223925003e-05, + "loss": 0.8069, + "step": 2950 + }, + { + "epoch": 0.57, + "learning_rate": 8.301029633492905e-05, + "loss": 0.8467, + "step": 2951 + }, + { + "epoch": 0.57, + "learning_rate": 8.294889702659602e-05, + "loss": 0.3367, + "step": 2952 + }, + { + "epoch": 0.57, + "learning_rate": 8.288750433808827e-05, + "loss": 0.7742, + "step": 2953 + }, + { + "epoch": 0.57, + "learning_rate": 8.28261182932405e-05, + "loss": 0.811, + "step": 2954 + }, + { + "epoch": 0.57, + "learning_rate": 8.276473891588492e-05, + "loss": 0.8369, + "step": 2955 + }, + { + "epoch": 0.57, + "learning_rate": 8.270336622985116e-05, + "loss": 0.7793, + "step": 2956 + }, + { + "epoch": 0.57, + "learning_rate": 8.264200025896616e-05, + "loss": 0.8574, + "step": 2957 + }, + { + "epoch": 0.57, + "learning_rate": 8.258064102705427e-05, + "loss": 0.8151, + "step": 2958 + }, + { + "epoch": 0.57, + "learning_rate": 8.251928855793735e-05, + "loss": 0.8513, + "step": 2959 + }, + { + "epoch": 0.57, + "learning_rate": 8.245794287543447e-05, + "loss": 0.8071, + "step": 2960 + }, + { + "epoch": 0.57, + "learning_rate": 8.239660400336214e-05, + "loss": 0.8098, + "step": 2961 + }, + { + "epoch": 0.57, + "learning_rate": 8.233527196553427e-05, + "loss": 0.7753, + "step": 2962 + }, + { + "epoch": 0.57, + "learning_rate": 8.227394678576203e-05, + "loss": 0.8599, + "step": 2963 + }, + { + "epoch": 0.57, + "learning_rate": 8.221262848785395e-05, + "loss": 0.8031, + "step": 2964 + }, + { + "epoch": 0.57, + "learning_rate": 8.215131709561598e-05, + "loss": 0.7847, + "step": 2965 + }, + { + "epoch": 0.57, + "learning_rate": 8.20900126328512e-05, + "loss": 0.822, + "step": 2966 + }, + { + "epoch": 0.57, + "learning_rate": 8.202871512336024e-05, + "loss": 0.7075, + "step": 2967 + }, + { + "epoch": 0.57, + "learning_rate": 8.196742459094077e-05, + "loss": 0.7661, + "step": 2968 + }, + { + "epoch": 0.57, + "learning_rate": 8.190614105938796e-05, + "loss": 0.8008, + "step": 2969 + }, + { + "epoch": 0.57, + "learning_rate": 8.184486455249424e-05, + "loss": 0.7948, + "step": 2970 + }, + { + "epoch": 0.57, + "learning_rate": 8.178359509404917e-05, + "loss": 0.8114, + "step": 2971 + }, + { + "epoch": 0.57, + "learning_rate": 8.172233270783966e-05, + "loss": 0.8066, + "step": 2972 + }, + { + "epoch": 0.57, + "learning_rate": 8.166107741764997e-05, + "loss": 0.774, + "step": 2973 + }, + { + "epoch": 0.57, + "learning_rate": 8.159982924726141e-05, + "loss": 0.7817, + "step": 2974 + }, + { + "epoch": 0.57, + "learning_rate": 8.153858822045266e-05, + "loss": 0.7839, + "step": 2975 + }, + { + "epoch": 0.57, + "learning_rate": 8.147735436099967e-05, + "loss": 0.8145, + "step": 2976 + }, + { + "epoch": 0.57, + "learning_rate": 8.141612769267544e-05, + "loss": 0.8352, + "step": 2977 + }, + { + "epoch": 0.57, + "learning_rate": 8.135490823925027e-05, + "loss": 0.7856, + "step": 2978 + }, + { + "epoch": 0.57, + "learning_rate": 8.129369602449175e-05, + "loss": 0.7625, + "step": 2979 + }, + { + "epoch": 0.57, + "learning_rate": 8.123249107216446e-05, + "loss": 0.7618, + "step": 2980 + }, + { + "epoch": 0.57, + "learning_rate": 8.117129340603032e-05, + "loss": 0.7839, + "step": 2981 + }, + { + "epoch": 0.57, + "learning_rate": 8.111010304984841e-05, + "loss": 0.7896, + "step": 2982 + }, + { + "epoch": 0.57, + "learning_rate": 8.104892002737487e-05, + "loss": 0.7781, + "step": 2983 + }, + { + "epoch": 0.57, + "learning_rate": 8.098774436236308e-05, + "loss": 0.7886, + "step": 2984 + }, + { + "epoch": 0.57, + "learning_rate": 8.092657607856356e-05, + "loss": 0.7698, + "step": 2985 + }, + { + "epoch": 0.57, + "learning_rate": 8.086541519972388e-05, + "loss": 0.7661, + "step": 2986 + }, + { + "epoch": 0.57, + "learning_rate": 8.080426174958886e-05, + "loss": 0.8301, + "step": 2987 + }, + { + "epoch": 0.57, + "learning_rate": 8.074311575190038e-05, + "loss": 0.7725, + "step": 2988 + }, + { + "epoch": 0.58, + "learning_rate": 8.068197723039737e-05, + "loss": 0.3463, + "step": 2989 + }, + { + "epoch": 0.58, + "learning_rate": 8.062084620881597e-05, + "loss": 0.801, + "step": 2990 + }, + { + "epoch": 0.58, + "learning_rate": 8.055972271088932e-05, + "loss": 0.7964, + "step": 2991 + }, + { + "epoch": 0.58, + "learning_rate": 8.049860676034761e-05, + "loss": 0.7988, + "step": 2992 + }, + { + "epoch": 0.58, + "learning_rate": 8.043749838091827e-05, + "loss": 0.8057, + "step": 2993 + }, + { + "epoch": 0.58, + "learning_rate": 8.037639759632556e-05, + "loss": 0.8434, + "step": 2994 + }, + { + "epoch": 0.58, + "learning_rate": 8.031530443029099e-05, + "loss": 0.7588, + "step": 2995 + }, + { + "epoch": 0.58, + "learning_rate": 8.025421890653302e-05, + "loss": 0.7729, + "step": 2996 + }, + { + "epoch": 0.58, + "learning_rate": 8.019314104876712e-05, + "loss": 0.8464, + "step": 2997 + }, + { + "epoch": 0.58, + "learning_rate": 8.013207088070582e-05, + "loss": 0.7458, + "step": 2998 + }, + { + "epoch": 0.58, + "learning_rate": 8.007100842605872e-05, + "loss": 0.8433, + "step": 2999 + }, + { + "epoch": 0.58, + "learning_rate": 8.000995370853227e-05, + "loss": 0.8486, + "step": 3000 + }, + { + "epoch": 0.58, + "learning_rate": 7.994890675183008e-05, + "loss": 0.8337, + "step": 3001 + }, + { + "epoch": 0.58, + "learning_rate": 7.98878675796527e-05, + "loss": 0.8127, + "step": 3002 + }, + { + "epoch": 0.58, + "learning_rate": 7.98268362156976e-05, + "loss": 0.8235, + "step": 3003 + }, + { + "epoch": 0.58, + "learning_rate": 7.976581268365923e-05, + "loss": 0.8097, + "step": 3004 + }, + { + "epoch": 0.58, + "learning_rate": 7.97047970072291e-05, + "loss": 0.7689, + "step": 3005 + }, + { + "epoch": 0.58, + "learning_rate": 7.964378921009552e-05, + "loss": 0.843, + "step": 3006 + }, + { + "epoch": 0.58, + "learning_rate": 7.958278931594385e-05, + "loss": 0.8076, + "step": 3007 + }, + { + "epoch": 0.58, + "learning_rate": 7.952179734845641e-05, + "loss": 0.3355, + "step": 3008 + }, + { + "epoch": 0.58, + "learning_rate": 7.946081333131227e-05, + "loss": 0.7607, + "step": 3009 + }, + { + "epoch": 0.58, + "learning_rate": 7.93998372881876e-05, + "loss": 0.8376, + "step": 3010 + }, + { + "epoch": 0.58, + "learning_rate": 7.93388692427554e-05, + "loss": 0.7894, + "step": 3011 + }, + { + "epoch": 0.58, + "learning_rate": 7.92779092186855e-05, + "loss": 0.7186, + "step": 3012 + }, + { + "epoch": 0.58, + "learning_rate": 7.921695723964472e-05, + "loss": 0.7717, + "step": 3013 + }, + { + "epoch": 0.58, + "learning_rate": 7.915601332929679e-05, + "loss": 0.8708, + "step": 3014 + }, + { + "epoch": 0.58, + "learning_rate": 7.909507751130209e-05, + "loss": 0.764, + "step": 3015 + }, + { + "epoch": 0.58, + "learning_rate": 7.903414980931814e-05, + "loss": 0.8141, + "step": 3016 + }, + { + "epoch": 0.58, + "learning_rate": 7.897323024699907e-05, + "loss": 0.7651, + "step": 3017 + }, + { + "epoch": 0.58, + "learning_rate": 7.891231884799599e-05, + "loss": 0.7858, + "step": 3018 + }, + { + "epoch": 0.58, + "learning_rate": 7.885141563595684e-05, + "loss": 0.7874, + "step": 3019 + }, + { + "epoch": 0.58, + "learning_rate": 7.879052063452625e-05, + "loss": 0.7888, + "step": 3020 + }, + { + "epoch": 0.58, + "learning_rate": 7.872963386734583e-05, + "loss": 0.7687, + "step": 3021 + }, + { + "epoch": 0.58, + "learning_rate": 7.866875535805394e-05, + "loss": 0.8203, + "step": 3022 + }, + { + "epoch": 0.58, + "learning_rate": 7.860788513028565e-05, + "loss": 0.8171, + "step": 3023 + }, + { + "epoch": 0.58, + "learning_rate": 7.854702320767289e-05, + "loss": 0.8335, + "step": 3024 + }, + { + "epoch": 0.58, + "learning_rate": 7.848616961384442e-05, + "loss": 0.8254, + "step": 3025 + }, + { + "epoch": 0.58, + "learning_rate": 7.842532437242559e-05, + "loss": 0.8635, + "step": 3026 + }, + { + "epoch": 0.58, + "learning_rate": 7.836448750703868e-05, + "loss": 0.7957, + "step": 3027 + }, + { + "epoch": 0.58, + "learning_rate": 7.83036590413027e-05, + "loss": 0.7915, + "step": 3028 + }, + { + "epoch": 0.58, + "learning_rate": 7.824283899883326e-05, + "loss": 0.8523, + "step": 3029 + }, + { + "epoch": 0.58, + "learning_rate": 7.818202740324286e-05, + "loss": 0.78, + "step": 3030 + }, + { + "epoch": 0.58, + "learning_rate": 7.812122427814068e-05, + "loss": 0.8101, + "step": 3031 + }, + { + "epoch": 0.58, + "learning_rate": 7.806042964713247e-05, + "loss": 0.8149, + "step": 3032 + }, + { + "epoch": 0.58, + "learning_rate": 7.799964353382089e-05, + "loss": 0.7886, + "step": 3033 + }, + { + "epoch": 0.58, + "learning_rate": 7.793886596180522e-05, + "loss": 0.7692, + "step": 3034 + }, + { + "epoch": 0.58, + "learning_rate": 7.787809695468133e-05, + "loss": 0.7874, + "step": 3035 + }, + { + "epoch": 0.58, + "learning_rate": 7.78173365360419e-05, + "loss": 0.3358, + "step": 3036 + }, + { + "epoch": 0.58, + "learning_rate": 7.775658472947623e-05, + "loss": 0.8318, + "step": 3037 + }, + { + "epoch": 0.58, + "learning_rate": 7.769584155857018e-05, + "loss": 0.8137, + "step": 3038 + }, + { + "epoch": 0.58, + "learning_rate": 7.763510704690644e-05, + "loss": 0.8282, + "step": 3039 + }, + { + "epoch": 0.58, + "learning_rate": 7.757438121806414e-05, + "loss": 0.7969, + "step": 3040 + }, + { + "epoch": 0.59, + "learning_rate": 7.75136640956192e-05, + "loss": 0.8198, + "step": 3041 + }, + { + "epoch": 0.59, + "learning_rate": 7.745295570314411e-05, + "loss": 0.7634, + "step": 3042 + }, + { + "epoch": 0.59, + "learning_rate": 7.739225606420793e-05, + "loss": 0.8293, + "step": 3043 + }, + { + "epoch": 0.59, + "learning_rate": 7.733156520237632e-05, + "loss": 0.8169, + "step": 3044 + }, + { + "epoch": 0.59, + "learning_rate": 7.727088314121165e-05, + "loss": 0.8345, + "step": 3045 + }, + { + "epoch": 0.59, + "learning_rate": 7.721020990427268e-05, + "loss": 0.79, + "step": 3046 + }, + { + "epoch": 0.59, + "learning_rate": 7.71495455151149e-05, + "loss": 0.8286, + "step": 3047 + }, + { + "epoch": 0.59, + "learning_rate": 7.708888999729036e-05, + "loss": 0.8123, + "step": 3048 + }, + { + "epoch": 0.59, + "learning_rate": 7.702824337434755e-05, + "loss": 0.8052, + "step": 3049 + }, + { + "epoch": 0.59, + "learning_rate": 7.696760566983159e-05, + "loss": 0.3393, + "step": 3050 + }, + { + "epoch": 0.59, + "learning_rate": 7.690697690728416e-05, + "loss": 0.8279, + "step": 3051 + }, + { + "epoch": 0.59, + "learning_rate": 7.68463571102434e-05, + "loss": 0.7869, + "step": 3052 + }, + { + "epoch": 0.59, + "learning_rate": 7.6785746302244e-05, + "loss": 0.7595, + "step": 3053 + }, + { + "epoch": 0.59, + "learning_rate": 7.67251445068172e-05, + "loss": 0.7864, + "step": 3054 + }, + { + "epoch": 0.59, + "learning_rate": 7.666455174749066e-05, + "loss": 0.8101, + "step": 3055 + }, + { + "epoch": 0.59, + "learning_rate": 7.66039680477886e-05, + "loss": 0.775, + "step": 3056 + }, + { + "epoch": 0.59, + "learning_rate": 7.654339343123173e-05, + "loss": 0.7842, + "step": 3057 + }, + { + "epoch": 0.59, + "learning_rate": 7.648282792133711e-05, + "loss": 0.7727, + "step": 3058 + }, + { + "epoch": 0.59, + "learning_rate": 7.642227154161841e-05, + "loss": 0.7535, + "step": 3059 + }, + { + "epoch": 0.59, + "learning_rate": 7.636172431558575e-05, + "loss": 0.8418, + "step": 3060 + }, + { + "epoch": 0.59, + "learning_rate": 7.630118626674556e-05, + "loss": 0.8685, + "step": 3061 + }, + { + "epoch": 0.59, + "learning_rate": 7.624065741860084e-05, + "loss": 0.3328, + "step": 3062 + }, + { + "epoch": 0.59, + "learning_rate": 7.618013779465101e-05, + "loss": 0.3403, + "step": 3063 + }, + { + "epoch": 0.59, + "learning_rate": 7.611962741839178e-05, + "loss": 0.7957, + "step": 3064 + }, + { + "epoch": 0.59, + "learning_rate": 7.605912631331546e-05, + "loss": 0.8207, + "step": 3065 + }, + { + "epoch": 0.59, + "learning_rate": 7.599863450291055e-05, + "loss": 0.7935, + "step": 3066 + }, + { + "epoch": 0.59, + "learning_rate": 7.593815201066215e-05, + "loss": 0.8311, + "step": 3067 + }, + { + "epoch": 0.59, + "learning_rate": 7.587767886005163e-05, + "loss": 0.7787, + "step": 3068 + }, + { + "epoch": 0.59, + "learning_rate": 7.581721507455673e-05, + "loss": 0.8357, + "step": 3069 + }, + { + "epoch": 0.59, + "learning_rate": 7.575676067765154e-05, + "loss": 0.8345, + "step": 3070 + }, + { + "epoch": 0.59, + "learning_rate": 7.569631569280661e-05, + "loss": 0.8145, + "step": 3071 + }, + { + "epoch": 0.59, + "learning_rate": 7.56358801434887e-05, + "loss": 0.8077, + "step": 3072 + }, + { + "epoch": 0.59, + "learning_rate": 7.5575454053161e-05, + "loss": 0.8538, + "step": 3073 + }, + { + "epoch": 0.59, + "learning_rate": 7.551503744528304e-05, + "loss": 0.8362, + "step": 3074 + }, + { + "epoch": 0.59, + "learning_rate": 7.545463034331053e-05, + "loss": 0.7629, + "step": 3075 + }, + { + "epoch": 0.59, + "learning_rate": 7.539423277069568e-05, + "loss": 0.8138, + "step": 3076 + }, + { + "epoch": 0.59, + "learning_rate": 7.53338447508869e-05, + "loss": 0.3488, + "step": 3077 + }, + { + "epoch": 0.59, + "learning_rate": 7.52734663073288e-05, + "loss": 0.783, + "step": 3078 + }, + { + "epoch": 0.59, + "learning_rate": 7.521309746346246e-05, + "loss": 0.7664, + "step": 3079 + }, + { + "epoch": 0.59, + "learning_rate": 7.515273824272514e-05, + "loss": 0.8499, + "step": 3080 + }, + { + "epoch": 0.59, + "learning_rate": 7.509238866855033e-05, + "loss": 0.8313, + "step": 3081 + }, + { + "epoch": 0.59, + "learning_rate": 7.503204876436785e-05, + "loss": 0.3486, + "step": 3082 + }, + { + "epoch": 0.59, + "learning_rate": 7.497171855360371e-05, + "loss": 0.8191, + "step": 3083 + }, + { + "epoch": 0.59, + "learning_rate": 7.491139805968018e-05, + "loss": 0.8127, + "step": 3084 + }, + { + "epoch": 0.59, + "learning_rate": 7.485108730601571e-05, + "loss": 0.7799, + "step": 3085 + }, + { + "epoch": 0.59, + "learning_rate": 7.479078631602512e-05, + "loss": 0.7786, + "step": 3086 + }, + { + "epoch": 0.59, + "learning_rate": 7.47304951131192e-05, + "loss": 0.8301, + "step": 3087 + }, + { + "epoch": 0.59, + "learning_rate": 7.467021372070516e-05, + "loss": 0.8301, + "step": 3088 + }, + { + "epoch": 0.59, + "learning_rate": 7.46099421621863e-05, + "loss": 0.3638, + "step": 3089 + }, + { + "epoch": 0.59, + "learning_rate": 7.454968046096204e-05, + "loss": 0.3172, + "step": 3090 + }, + { + "epoch": 0.59, + "learning_rate": 7.448942864042818e-05, + "loss": 0.8486, + "step": 3091 + }, + { + "epoch": 0.59, + "learning_rate": 7.442918672397642e-05, + "loss": 0.3624, + "step": 3092 + }, + { + "epoch": 0.6, + "learning_rate": 7.43689547349948e-05, + "loss": 0.8325, + "step": 3093 + }, + { + "epoch": 0.6, + "learning_rate": 7.43087326968675e-05, + "loss": 0.8052, + "step": 3094 + }, + { + "epoch": 0.6, + "learning_rate": 7.424852063297469e-05, + "loss": 0.7961, + "step": 3095 + }, + { + "epoch": 0.6, + "learning_rate": 7.418831856669286e-05, + "loss": 0.8142, + "step": 3096 + }, + { + "epoch": 0.6, + "learning_rate": 7.41281265213945e-05, + "loss": 0.8083, + "step": 3097 + }, + { + "epoch": 0.6, + "learning_rate": 7.406794452044816e-05, + "loss": 0.8293, + "step": 3098 + }, + { + "epoch": 0.6, + "learning_rate": 7.400777258721865e-05, + "loss": 0.8462, + "step": 3099 + }, + { + "epoch": 0.6, + "learning_rate": 7.394761074506679e-05, + "loss": 0.8281, + "step": 3100 + }, + { + "epoch": 0.6, + "learning_rate": 7.38874590173494e-05, + "loss": 0.8772, + "step": 3101 + }, + { + "epoch": 0.6, + "learning_rate": 7.382731742741952e-05, + "loss": 0.8033, + "step": 3102 + }, + { + "epoch": 0.6, + "learning_rate": 7.376718599862621e-05, + "loss": 0.7976, + "step": 3103 + }, + { + "epoch": 0.6, + "learning_rate": 7.370706475431446e-05, + "loss": 0.814, + "step": 3104 + }, + { + "epoch": 0.6, + "learning_rate": 7.364695371782546e-05, + "loss": 0.8578, + "step": 3105 + }, + { + "epoch": 0.6, + "learning_rate": 7.358685291249644e-05, + "loss": 0.7974, + "step": 3106 + }, + { + "epoch": 0.6, + "learning_rate": 7.352676236166051e-05, + "loss": 0.863, + "step": 3107 + }, + { + "epoch": 0.6, + "learning_rate": 7.346668208864695e-05, + "loss": 0.7808, + "step": 3108 + }, + { + "epoch": 0.6, + "learning_rate": 7.340661211678099e-05, + "loss": 0.8865, + "step": 3109 + }, + { + "epoch": 0.6, + "learning_rate": 7.33465524693838e-05, + "loss": 0.75, + "step": 3110 + }, + { + "epoch": 0.6, + "learning_rate": 7.328650316977264e-05, + "loss": 0.7783, + "step": 3111 + }, + { + "epoch": 0.6, + "learning_rate": 7.322646424126078e-05, + "loss": 0.8049, + "step": 3112 + }, + { + "epoch": 0.6, + "learning_rate": 7.31664357071573e-05, + "loss": 0.7971, + "step": 3113 + }, + { + "epoch": 0.6, + "learning_rate": 7.310641759076741e-05, + "loss": 0.814, + "step": 3114 + }, + { + "epoch": 0.6, + "learning_rate": 7.304640991539215e-05, + "loss": 0.7686, + "step": 3115 + }, + { + "epoch": 0.6, + "learning_rate": 7.298641270432862e-05, + "loss": 0.7981, + "step": 3116 + }, + { + "epoch": 0.6, + "learning_rate": 7.292642598086981e-05, + "loss": 0.8184, + "step": 3117 + }, + { + "epoch": 0.6, + "learning_rate": 7.286644976830457e-05, + "loss": 0.8152, + "step": 3118 + }, + { + "epoch": 0.6, + "learning_rate": 7.280648408991775e-05, + "loss": 0.787, + "step": 3119 + }, + { + "epoch": 0.6, + "learning_rate": 7.274652896899015e-05, + "loss": 0.7659, + "step": 3120 + }, + { + "epoch": 0.6, + "learning_rate": 7.268658442879833e-05, + "loss": 0.8752, + "step": 3121 + }, + { + "epoch": 0.6, + "learning_rate": 7.262665049261488e-05, + "loss": 0.7778, + "step": 3122 + }, + { + "epoch": 0.6, + "learning_rate": 7.256672718370824e-05, + "loss": 0.853, + "step": 3123 + }, + { + "epoch": 0.6, + "learning_rate": 7.25068145253426e-05, + "loss": 0.7911, + "step": 3124 + }, + { + "epoch": 0.6, + "learning_rate": 7.244691254077819e-05, + "loss": 0.8374, + "step": 3125 + }, + { + "epoch": 0.6, + "learning_rate": 7.238702125327106e-05, + "loss": 0.7715, + "step": 3126 + }, + { + "epoch": 0.6, + "learning_rate": 7.232714068607295e-05, + "loss": 0.8242, + "step": 3127 + }, + { + "epoch": 0.6, + "learning_rate": 7.226727086243168e-05, + "loss": 0.3315, + "step": 3128 + }, + { + "epoch": 0.6, + "learning_rate": 7.220741180559073e-05, + "loss": 0.7721, + "step": 3129 + }, + { + "epoch": 0.6, + "learning_rate": 7.214756353878942e-05, + "loss": 0.8413, + "step": 3130 + }, + { + "epoch": 0.6, + "learning_rate": 7.208772608526293e-05, + "loss": 0.7676, + "step": 3131 + }, + { + "epoch": 0.6, + "learning_rate": 7.202789946824227e-05, + "loss": 0.811, + "step": 3132 + }, + { + "epoch": 0.6, + "learning_rate": 7.196808371095408e-05, + "loss": 0.8374, + "step": 3133 + }, + { + "epoch": 0.6, + "learning_rate": 7.190827883662099e-05, + "loss": 0.7914, + "step": 3134 + }, + { + "epoch": 0.6, + "learning_rate": 7.184848486846128e-05, + "loss": 0.8225, + "step": 3135 + }, + { + "epoch": 0.6, + "learning_rate": 7.178870182968903e-05, + "loss": 0.8518, + "step": 3136 + }, + { + "epoch": 0.6, + "learning_rate": 7.172892974351406e-05, + "loss": 0.8354, + "step": 3137 + }, + { + "epoch": 0.6, + "learning_rate": 7.166916863314199e-05, + "loss": 0.8403, + "step": 3138 + }, + { + "epoch": 0.6, + "learning_rate": 7.160941852177409e-05, + "loss": 0.8391, + "step": 3139 + }, + { + "epoch": 0.6, + "learning_rate": 7.154967943260748e-05, + "loss": 0.7656, + "step": 3140 + }, + { + "epoch": 0.6, + "learning_rate": 7.148995138883483e-05, + "loss": 0.772, + "step": 3141 + }, + { + "epoch": 0.6, + "learning_rate": 7.143023441364472e-05, + "loss": 0.7578, + "step": 3142 + }, + { + "epoch": 0.6, + "learning_rate": 7.13705285302213e-05, + "loss": 0.7874, + "step": 3143 + }, + { + "epoch": 0.6, + "learning_rate": 7.131083376174441e-05, + "loss": 0.8315, + "step": 3144 + }, + { + "epoch": 0.61, + "learning_rate": 7.125115013138966e-05, + "loss": 0.8101, + "step": 3145 + }, + { + "epoch": 0.61, + "learning_rate": 7.119147766232833e-05, + "loss": 0.7838, + "step": 3146 + }, + { + "epoch": 0.61, + "learning_rate": 7.113181637772721e-05, + "loss": 0.8215, + "step": 3147 + }, + { + "epoch": 0.61, + "learning_rate": 7.107216630074896e-05, + "loss": 0.8534, + "step": 3148 + }, + { + "epoch": 0.61, + "learning_rate": 7.101252745455179e-05, + "loss": 0.7322, + "step": 3149 + }, + { + "epoch": 0.61, + "learning_rate": 7.09528998622895e-05, + "loss": 0.8584, + "step": 3150 + }, + { + "epoch": 0.61, + "learning_rate": 7.089328354711159e-05, + "loss": 0.8091, + "step": 3151 + }, + { + "epoch": 0.61, + "learning_rate": 7.083367853216323e-05, + "loss": 0.8477, + "step": 3152 + }, + { + "epoch": 0.61, + "learning_rate": 7.077408484058505e-05, + "loss": 0.8317, + "step": 3153 + }, + { + "epoch": 0.61, + "learning_rate": 7.071450249551341e-05, + "loss": 0.8232, + "step": 3154 + }, + { + "epoch": 0.61, + "learning_rate": 7.065493152008026e-05, + "loss": 0.8009, + "step": 3155 + }, + { + "epoch": 0.61, + "learning_rate": 7.059537193741306e-05, + "loss": 0.7874, + "step": 3156 + }, + { + "epoch": 0.61, + "learning_rate": 7.053582377063489e-05, + "loss": 0.8142, + "step": 3157 + }, + { + "epoch": 0.61, + "learning_rate": 7.047628704286446e-05, + "loss": 0.811, + "step": 3158 + }, + { + "epoch": 0.61, + "learning_rate": 7.041676177721588e-05, + "loss": 0.822, + "step": 3159 + }, + { + "epoch": 0.61, + "learning_rate": 7.035724799679898e-05, + "loss": 0.8199, + "step": 3160 + }, + { + "epoch": 0.61, + "learning_rate": 7.029774572471903e-05, + "loss": 0.7812, + "step": 3161 + }, + { + "epoch": 0.61, + "learning_rate": 7.023825498407689e-05, + "loss": 0.7781, + "step": 3162 + }, + { + "epoch": 0.61, + "learning_rate": 7.017877579796885e-05, + "loss": 0.8555, + "step": 3163 + }, + { + "epoch": 0.61, + "learning_rate": 7.011930818948688e-05, + "loss": 0.78, + "step": 3164 + }, + { + "epoch": 0.61, + "learning_rate": 7.005985218171825e-05, + "loss": 0.3374, + "step": 3165 + }, + { + "epoch": 0.61, + "learning_rate": 7.000040779774591e-05, + "loss": 0.7898, + "step": 3166 + }, + { + "epoch": 0.61, + "learning_rate": 6.994097506064812e-05, + "loss": 0.8467, + "step": 3167 + }, + { + "epoch": 0.61, + "learning_rate": 6.988155399349881e-05, + "loss": 0.8257, + "step": 3168 + }, + { + "epoch": 0.61, + "learning_rate": 6.982214461936727e-05, + "loss": 0.3435, + "step": 3169 + }, + { + "epoch": 0.61, + "learning_rate": 6.97627469613182e-05, + "loss": 0.7913, + "step": 3170 + }, + { + "epoch": 0.61, + "learning_rate": 6.970336104241186e-05, + "loss": 0.8066, + "step": 3171 + }, + { + "epoch": 0.61, + "learning_rate": 6.964398688570395e-05, + "loss": 0.7913, + "step": 3172 + }, + { + "epoch": 0.61, + "learning_rate": 6.958462451424547e-05, + "loss": 0.8286, + "step": 3173 + }, + { + "epoch": 0.61, + "learning_rate": 6.952527395108302e-05, + "loss": 0.332, + "step": 3174 + }, + { + "epoch": 0.61, + "learning_rate": 6.946593521925851e-05, + "loss": 0.8438, + "step": 3175 + }, + { + "epoch": 0.61, + "learning_rate": 6.940660834180921e-05, + "loss": 0.7498, + "step": 3176 + }, + { + "epoch": 0.61, + "learning_rate": 6.934729334176792e-05, + "loss": 0.845, + "step": 3177 + }, + { + "epoch": 0.61, + "learning_rate": 6.928799024216282e-05, + "loss": 0.7954, + "step": 3178 + }, + { + "epoch": 0.61, + "learning_rate": 6.92286990660173e-05, + "loss": 0.7277, + "step": 3179 + }, + { + "epoch": 0.61, + "learning_rate": 6.91694198363503e-05, + "loss": 0.8054, + "step": 3180 + }, + { + "epoch": 0.61, + "learning_rate": 6.911015257617605e-05, + "loss": 0.7396, + "step": 3181 + }, + { + "epoch": 0.61, + "learning_rate": 6.905089730850416e-05, + "loss": 0.7993, + "step": 3182 + }, + { + "epoch": 0.61, + "learning_rate": 6.89916540563395e-05, + "loss": 0.7701, + "step": 3183 + }, + { + "epoch": 0.61, + "learning_rate": 6.893242284268244e-05, + "loss": 0.8196, + "step": 3184 + }, + { + "epoch": 0.61, + "learning_rate": 6.887320369052848e-05, + "loss": 0.825, + "step": 3185 + }, + { + "epoch": 0.61, + "learning_rate": 6.881399662286858e-05, + "loss": 0.8364, + "step": 3186 + }, + { + "epoch": 0.61, + "learning_rate": 6.875480166268896e-05, + "loss": 0.8362, + "step": 3187 + }, + { + "epoch": 0.61, + "learning_rate": 6.869561883297116e-05, + "loss": 0.7727, + "step": 3188 + }, + { + "epoch": 0.61, + "learning_rate": 6.863644815669197e-05, + "loss": 0.7775, + "step": 3189 + }, + { + "epoch": 0.61, + "learning_rate": 6.857728965682345e-05, + "loss": 0.8218, + "step": 3190 + }, + { + "epoch": 0.61, + "learning_rate": 6.851814335633297e-05, + "loss": 0.8376, + "step": 3191 + }, + { + "epoch": 0.61, + "learning_rate": 6.845900927818327e-05, + "loss": 0.7728, + "step": 3192 + }, + { + "epoch": 0.61, + "learning_rate": 6.839988744533211e-05, + "loss": 0.8096, + "step": 3193 + }, + { + "epoch": 0.61, + "learning_rate": 6.834077788073267e-05, + "loss": 0.3231, + "step": 3194 + }, + { + "epoch": 0.61, + "learning_rate": 6.828168060733337e-05, + "loss": 0.8157, + "step": 3195 + }, + { + "epoch": 0.61, + "learning_rate": 6.822259564807768e-05, + "loss": 0.8489, + "step": 3196 + }, + { + "epoch": 0.62, + "learning_rate": 6.816352302590449e-05, + "loss": 0.8301, + "step": 3197 + }, + { + "epoch": 0.62, + "learning_rate": 6.810446276374789e-05, + "loss": 0.7749, + "step": 3198 + }, + { + "epoch": 0.62, + "learning_rate": 6.804541488453697e-05, + "loss": 0.8269, + "step": 3199 + }, + { + "epoch": 0.62, + "learning_rate": 6.798637941119625e-05, + "loss": 0.3475, + "step": 3200 + }, + { + "epoch": 0.62, + "learning_rate": 6.792735636664532e-05, + "loss": 0.8264, + "step": 3201 + }, + { + "epoch": 0.62, + "learning_rate": 6.786834577379892e-05, + "loss": 0.8132, + "step": 3202 + }, + { + "epoch": 0.62, + "learning_rate": 6.780934765556701e-05, + "loss": 0.8284, + "step": 3203 + }, + { + "epoch": 0.62, + "learning_rate": 6.775036203485473e-05, + "loss": 0.8254, + "step": 3204 + }, + { + "epoch": 0.62, + "learning_rate": 6.769138893456225e-05, + "loss": 0.7977, + "step": 3205 + }, + { + "epoch": 0.62, + "learning_rate": 6.763242837758504e-05, + "loss": 0.8088, + "step": 3206 + }, + { + "epoch": 0.62, + "learning_rate": 6.757348038681357e-05, + "loss": 0.8003, + "step": 3207 + }, + { + "epoch": 0.62, + "learning_rate": 6.751454498513348e-05, + "loss": 0.8303, + "step": 3208 + }, + { + "epoch": 0.62, + "learning_rate": 6.745562219542554e-05, + "loss": 0.7236, + "step": 3209 + }, + { + "epoch": 0.62, + "learning_rate": 6.739671204056562e-05, + "loss": 0.7881, + "step": 3210 + }, + { + "epoch": 0.62, + "learning_rate": 6.733781454342462e-05, + "loss": 0.7401, + "step": 3211 + }, + { + "epoch": 0.62, + "learning_rate": 6.72789297268686e-05, + "loss": 0.7871, + "step": 3212 + }, + { + "epoch": 0.62, + "learning_rate": 6.722005761375873e-05, + "loss": 0.7905, + "step": 3213 + }, + { + "epoch": 0.62, + "learning_rate": 6.71611982269511e-05, + "loss": 0.7988, + "step": 3214 + }, + { + "epoch": 0.62, + "learning_rate": 6.710235158929703e-05, + "loss": 0.8523, + "step": 3215 + }, + { + "epoch": 0.62, + "learning_rate": 6.704351772364274e-05, + "loss": 0.8276, + "step": 3216 + }, + { + "epoch": 0.62, + "learning_rate": 6.698469665282957e-05, + "loss": 0.8284, + "step": 3217 + }, + { + "epoch": 0.62, + "learning_rate": 6.692588839969397e-05, + "loss": 0.7614, + "step": 3218 + }, + { + "epoch": 0.62, + "learning_rate": 6.686709298706722e-05, + "loss": 0.7993, + "step": 3219 + }, + { + "epoch": 0.62, + "learning_rate": 6.680831043777579e-05, + "loss": 0.7861, + "step": 3220 + }, + { + "epoch": 0.62, + "learning_rate": 6.674954077464107e-05, + "loss": 0.7881, + "step": 3221 + }, + { + "epoch": 0.62, + "learning_rate": 6.669078402047948e-05, + "loss": 0.7917, + "step": 3222 + }, + { + "epoch": 0.62, + "learning_rate": 6.663204019810237e-05, + "loss": 0.7346, + "step": 3223 + }, + { + "epoch": 0.62, + "learning_rate": 6.657330933031619e-05, + "loss": 0.7638, + "step": 3224 + }, + { + "epoch": 0.62, + "learning_rate": 6.65145914399222e-05, + "loss": 0.8135, + "step": 3225 + }, + { + "epoch": 0.62, + "learning_rate": 6.645588654971678e-05, + "loss": 0.327, + "step": 3226 + }, + { + "epoch": 0.62, + "learning_rate": 6.639719468249115e-05, + "loss": 0.8096, + "step": 3227 + }, + { + "epoch": 0.62, + "learning_rate": 6.633851586103153e-05, + "loss": 0.8259, + "step": 3228 + }, + { + "epoch": 0.62, + "learning_rate": 6.627985010811902e-05, + "loss": 0.8091, + "step": 3229 + }, + { + "epoch": 0.62, + "learning_rate": 6.622119744652978e-05, + "loss": 0.8018, + "step": 3230 + }, + { + "epoch": 0.62, + "learning_rate": 6.616255789903466e-05, + "loss": 0.7822, + "step": 3231 + }, + { + "epoch": 0.62, + "learning_rate": 6.610393148839964e-05, + "loss": 0.8076, + "step": 3232 + }, + { + "epoch": 0.62, + "learning_rate": 6.604531823738552e-05, + "loss": 0.8062, + "step": 3233 + }, + { + "epoch": 0.62, + "learning_rate": 6.598671816874794e-05, + "loss": 0.8809, + "step": 3234 + }, + { + "epoch": 0.62, + "learning_rate": 6.592813130523746e-05, + "loss": 0.8889, + "step": 3235 + }, + { + "epoch": 0.62, + "learning_rate": 6.586955766959957e-05, + "loss": 0.8132, + "step": 3236 + }, + { + "epoch": 0.62, + "learning_rate": 6.581099728457451e-05, + "loss": 0.8406, + "step": 3237 + }, + { + "epoch": 0.62, + "learning_rate": 6.575245017289746e-05, + "loss": 0.8359, + "step": 3238 + }, + { + "epoch": 0.62, + "learning_rate": 6.569391635729847e-05, + "loss": 0.7628, + "step": 3239 + }, + { + "epoch": 0.62, + "learning_rate": 6.563539586050233e-05, + "loss": 0.7832, + "step": 3240 + }, + { + "epoch": 0.62, + "learning_rate": 6.557688870522871e-05, + "loss": 0.8198, + "step": 3241 + }, + { + "epoch": 0.62, + "learning_rate": 6.551839491419213e-05, + "loss": 0.8208, + "step": 3242 + }, + { + "epoch": 0.62, + "learning_rate": 6.545991451010185e-05, + "loss": 0.792, + "step": 3243 + }, + { + "epoch": 0.62, + "learning_rate": 6.540144751566207e-05, + "loss": 0.8032, + "step": 3244 + }, + { + "epoch": 0.62, + "learning_rate": 6.534299395357155e-05, + "loss": 0.8164, + "step": 3245 + }, + { + "epoch": 0.62, + "learning_rate": 6.52845538465241e-05, + "loss": 0.8477, + "step": 3246 + }, + { + "epoch": 0.62, + "learning_rate": 6.522612721720814e-05, + "loss": 0.7446, + "step": 3247 + }, + { + "epoch": 0.62, + "learning_rate": 6.516771408830686e-05, + "loss": 0.7695, + "step": 3248 + }, + { + "epoch": 0.63, + "learning_rate": 6.51093144824983e-05, + "loss": 0.8547, + "step": 3249 + }, + { + "epoch": 0.63, + "learning_rate": 6.505092842245519e-05, + "loss": 0.7905, + "step": 3250 + }, + { + "epoch": 0.63, + "learning_rate": 6.499255593084498e-05, + "loss": 0.7554, + "step": 3251 + }, + { + "epoch": 0.63, + "learning_rate": 6.49341970303299e-05, + "loss": 0.7741, + "step": 3252 + }, + { + "epoch": 0.63, + "learning_rate": 6.48758517435669e-05, + "loss": 0.8533, + "step": 3253 + }, + { + "epoch": 0.63, + "learning_rate": 6.481752009320761e-05, + "loss": 0.3131, + "step": 3254 + }, + { + "epoch": 0.63, + "learning_rate": 6.475920210189836e-05, + "loss": 0.8574, + "step": 3255 + }, + { + "epoch": 0.63, + "learning_rate": 6.470089779228028e-05, + "loss": 0.7675, + "step": 3256 + }, + { + "epoch": 0.63, + "learning_rate": 6.464260718698902e-05, + "loss": 0.8046, + "step": 3257 + }, + { + "epoch": 0.63, + "learning_rate": 6.458433030865502e-05, + "loss": 0.7617, + "step": 3258 + }, + { + "epoch": 0.63, + "learning_rate": 6.452606717990346e-05, + "loss": 0.8, + "step": 3259 + }, + { + "epoch": 0.63, + "learning_rate": 6.4467817823354e-05, + "loss": 0.8357, + "step": 3260 + }, + { + "epoch": 0.63, + "learning_rate": 6.440958226162104e-05, + "loss": 0.8076, + "step": 3261 + }, + { + "epoch": 0.63, + "learning_rate": 6.43513605173137e-05, + "loss": 0.8444, + "step": 3262 + }, + { + "epoch": 0.63, + "learning_rate": 6.429315261303559e-05, + "loss": 0.823, + "step": 3263 + }, + { + "epoch": 0.63, + "learning_rate": 6.423495857138509e-05, + "loss": 0.8517, + "step": 3264 + }, + { + "epoch": 0.63, + "learning_rate": 6.417677841495507e-05, + "loss": 0.713, + "step": 3265 + }, + { + "epoch": 0.63, + "learning_rate": 6.411861216633313e-05, + "loss": 0.8694, + "step": 3266 + }, + { + "epoch": 0.63, + "learning_rate": 6.406045984810135e-05, + "loss": 0.8088, + "step": 3267 + }, + { + "epoch": 0.63, + "learning_rate": 6.400232148283651e-05, + "loss": 0.765, + "step": 3268 + }, + { + "epoch": 0.63, + "learning_rate": 6.394419709310988e-05, + "loss": 0.3539, + "step": 3269 + }, + { + "epoch": 0.63, + "learning_rate": 6.388608670148741e-05, + "loss": 0.7845, + "step": 3270 + }, + { + "epoch": 0.63, + "learning_rate": 6.38279903305295e-05, + "loss": 0.7749, + "step": 3271 + }, + { + "epoch": 0.63, + "learning_rate": 6.376990800279119e-05, + "loss": 0.8098, + "step": 3272 + }, + { + "epoch": 0.63, + "learning_rate": 6.371183974082203e-05, + "loss": 0.8335, + "step": 3273 + }, + { + "epoch": 0.63, + "learning_rate": 6.365378556716612e-05, + "loss": 0.7711, + "step": 3274 + }, + { + "epoch": 0.63, + "learning_rate": 6.359574550436208e-05, + "loss": 0.7974, + "step": 3275 + }, + { + "epoch": 0.63, + "learning_rate": 6.35377195749431e-05, + "loss": 0.8081, + "step": 3276 + }, + { + "epoch": 0.63, + "learning_rate": 6.347970780143678e-05, + "loss": 0.8315, + "step": 3277 + }, + { + "epoch": 0.63, + "learning_rate": 6.342171020636533e-05, + "loss": 0.8262, + "step": 3278 + }, + { + "epoch": 0.63, + "learning_rate": 6.336372681224542e-05, + "loss": 0.7516, + "step": 3279 + }, + { + "epoch": 0.63, + "learning_rate": 6.33057576415882e-05, + "loss": 0.8867, + "step": 3280 + }, + { + "epoch": 0.63, + "learning_rate": 6.324780271689923e-05, + "loss": 0.7634, + "step": 3281 + }, + { + "epoch": 0.63, + "learning_rate": 6.318986206067872e-05, + "loss": 0.8271, + "step": 3282 + }, + { + "epoch": 0.63, + "learning_rate": 6.313193569542113e-05, + "loss": 0.8696, + "step": 3283 + }, + { + "epoch": 0.63, + "learning_rate": 6.30740236436155e-05, + "loss": 0.7838, + "step": 3284 + }, + { + "epoch": 0.63, + "learning_rate": 6.301612592774533e-05, + "loss": 0.8306, + "step": 3285 + }, + { + "epoch": 0.63, + "learning_rate": 6.295824257028844e-05, + "loss": 0.8511, + "step": 3286 + }, + { + "epoch": 0.63, + "learning_rate": 6.290037359371717e-05, + "loss": 0.7854, + "step": 3287 + }, + { + "epoch": 0.63, + "learning_rate": 6.284251902049827e-05, + "loss": 0.7781, + "step": 3288 + }, + { + "epoch": 0.63, + "learning_rate": 6.278467887309283e-05, + "loss": 0.8, + "step": 3289 + }, + { + "epoch": 0.63, + "learning_rate": 6.272685317395643e-05, + "loss": 0.8105, + "step": 3290 + }, + { + "epoch": 0.63, + "learning_rate": 6.266904194553895e-05, + "loss": 0.8085, + "step": 3291 + }, + { + "epoch": 0.63, + "learning_rate": 6.261124521028476e-05, + "loss": 0.8306, + "step": 3292 + }, + { + "epoch": 0.63, + "learning_rate": 6.255346299063252e-05, + "loss": 0.7292, + "step": 3293 + }, + { + "epoch": 0.63, + "learning_rate": 6.249569530901524e-05, + "loss": 0.8063, + "step": 3294 + }, + { + "epoch": 0.63, + "learning_rate": 6.243794218786035e-05, + "loss": 0.8101, + "step": 3295 + }, + { + "epoch": 0.63, + "learning_rate": 6.238020364958965e-05, + "loss": 0.8381, + "step": 3296 + }, + { + "epoch": 0.63, + "learning_rate": 6.232247971661912e-05, + "loss": 0.8113, + "step": 3297 + }, + { + "epoch": 0.63, + "learning_rate": 6.226477041135926e-05, + "loss": 0.781, + "step": 3298 + }, + { + "epoch": 0.63, + "learning_rate": 6.22070757562148e-05, + "loss": 0.8428, + "step": 3299 + }, + { + "epoch": 0.63, + "learning_rate": 6.214939577358478e-05, + "loss": 0.8213, + "step": 3300 + }, + { + "epoch": 0.64, + "learning_rate": 6.209173048586253e-05, + "loss": 0.8367, + "step": 3301 + }, + { + "epoch": 0.64, + "learning_rate": 6.203407991543577e-05, + "loss": 0.7905, + "step": 3302 + }, + { + "epoch": 0.64, + "learning_rate": 6.197644408468635e-05, + "loss": 0.8116, + "step": 3303 + }, + { + "epoch": 0.64, + "learning_rate": 6.191882301599052e-05, + "loss": 0.8108, + "step": 3304 + }, + { + "epoch": 0.64, + "learning_rate": 6.186121673171882e-05, + "loss": 0.7993, + "step": 3305 + }, + { + "epoch": 0.64, + "learning_rate": 6.180362525423591e-05, + "loss": 0.7976, + "step": 3306 + }, + { + "epoch": 0.64, + "learning_rate": 6.174604860590081e-05, + "loss": 0.7852, + "step": 3307 + }, + { + "epoch": 0.64, + "learning_rate": 6.168848680906678e-05, + "loss": 0.7954, + "step": 3308 + }, + { + "epoch": 0.64, + "learning_rate": 6.163093988608127e-05, + "loss": 0.8269, + "step": 3309 + }, + { + "epoch": 0.64, + "learning_rate": 6.157340785928595e-05, + "loss": 0.799, + "step": 3310 + }, + { + "epoch": 0.64, + "learning_rate": 6.151589075101682e-05, + "loss": 0.8286, + "step": 3311 + }, + { + "epoch": 0.64, + "learning_rate": 6.145838858360391e-05, + "loss": 0.8381, + "step": 3312 + }, + { + "epoch": 0.64, + "learning_rate": 6.140090137937158e-05, + "loss": 0.7998, + "step": 3313 + }, + { + "epoch": 0.64, + "learning_rate": 6.134342916063838e-05, + "loss": 0.8481, + "step": 3314 + }, + { + "epoch": 0.64, + "learning_rate": 6.12859719497169e-05, + "loss": 0.3369, + "step": 3315 + }, + { + "epoch": 0.64, + "learning_rate": 6.122852976891414e-05, + "loss": 0.8257, + "step": 3316 + }, + { + "epoch": 0.64, + "learning_rate": 6.1171102640531e-05, + "loss": 0.7776, + "step": 3317 + }, + { + "epoch": 0.64, + "learning_rate": 6.111369058686276e-05, + "loss": 0.8003, + "step": 3318 + }, + { + "epoch": 0.64, + "learning_rate": 6.105629363019875e-05, + "loss": 0.8059, + "step": 3319 + }, + { + "epoch": 0.64, + "learning_rate": 6.099891179282241e-05, + "loss": 0.75, + "step": 3320 + }, + { + "epoch": 0.64, + "learning_rate": 6.094154509701133e-05, + "loss": 0.7511, + "step": 3321 + }, + { + "epoch": 0.64, + "learning_rate": 6.088419356503732e-05, + "loss": 0.8748, + "step": 3322 + }, + { + "epoch": 0.64, + "learning_rate": 6.0826857219166124e-05, + "loss": 0.7039, + "step": 3323 + }, + { + "epoch": 0.64, + "learning_rate": 6.0769536081657717e-05, + "loss": 0.7795, + "step": 3324 + }, + { + "epoch": 0.64, + "learning_rate": 6.0712230174766194e-05, + "loss": 0.8167, + "step": 3325 + }, + { + "epoch": 0.64, + "learning_rate": 6.065493952073961e-05, + "loss": 0.8333, + "step": 3326 + }, + { + "epoch": 0.64, + "learning_rate": 6.0597664141820176e-05, + "loss": 0.7678, + "step": 3327 + }, + { + "epoch": 0.64, + "learning_rate": 6.0540404060244214e-05, + "loss": 0.8357, + "step": 3328 + }, + { + "epoch": 0.64, + "learning_rate": 6.0483159298242e-05, + "loss": 0.8706, + "step": 3329 + }, + { + "epoch": 0.64, + "learning_rate": 6.042592987803796e-05, + "loss": 0.7595, + "step": 3330 + }, + { + "epoch": 0.64, + "learning_rate": 6.036871582185054e-05, + "loss": 0.8467, + "step": 3331 + }, + { + "epoch": 0.64, + "learning_rate": 6.031151715189217e-05, + "loss": 0.7441, + "step": 3332 + }, + { + "epoch": 0.64, + "learning_rate": 6.025433389036934e-05, + "loss": 0.7737, + "step": 3333 + }, + { + "epoch": 0.64, + "learning_rate": 6.019716605948261e-05, + "loss": 0.7871, + "step": 3334 + }, + { + "epoch": 0.64, + "learning_rate": 6.014001368142643e-05, + "loss": 0.8013, + "step": 3335 + }, + { + "epoch": 0.64, + "learning_rate": 6.0082876778389365e-05, + "loss": 0.7844, + "step": 3336 + }, + { + "epoch": 0.64, + "learning_rate": 6.002575537255395e-05, + "loss": 0.7378, + "step": 3337 + }, + { + "epoch": 0.64, + "learning_rate": 5.996864948609662e-05, + "loss": 0.7958, + "step": 3338 + }, + { + "epoch": 0.64, + "learning_rate": 5.991155914118792e-05, + "loss": 0.7446, + "step": 3339 + }, + { + "epoch": 0.64, + "learning_rate": 5.985448435999224e-05, + "loss": 0.3378, + "step": 3340 + }, + { + "epoch": 0.64, + "learning_rate": 5.979742516466793e-05, + "loss": 0.7759, + "step": 3341 + }, + { + "epoch": 0.64, + "learning_rate": 5.9740381577367455e-05, + "loss": 0.7737, + "step": 3342 + }, + { + "epoch": 0.64, + "learning_rate": 5.968335362023697e-05, + "loss": 0.8464, + "step": 3343 + }, + { + "epoch": 0.64, + "learning_rate": 5.9626341315416754e-05, + "loss": 0.7766, + "step": 3344 + }, + { + "epoch": 0.64, + "learning_rate": 5.9569344685041006e-05, + "loss": 0.7893, + "step": 3345 + }, + { + "epoch": 0.64, + "learning_rate": 5.9512363751237677e-05, + "loss": 0.7708, + "step": 3346 + }, + { + "epoch": 0.64, + "learning_rate": 5.945539853612876e-05, + "loss": 0.3372, + "step": 3347 + }, + { + "epoch": 0.64, + "learning_rate": 5.9398449061830164e-05, + "loss": 0.689, + "step": 3348 + }, + { + "epoch": 0.64, + "learning_rate": 5.934151535045156e-05, + "loss": 0.787, + "step": 3349 + }, + { + "epoch": 0.64, + "learning_rate": 5.92845974240966e-05, + "loss": 0.8621, + "step": 3350 + }, + { + "epoch": 0.64, + "learning_rate": 5.9227695304862826e-05, + "loss": 0.7854, + "step": 3351 + }, + { + "epoch": 0.64, + "learning_rate": 5.917080901484155e-05, + "loss": 0.7612, + "step": 3352 + }, + { + "epoch": 0.65, + "learning_rate": 5.9113938576118e-05, + "loss": 0.8184, + "step": 3353 + }, + { + "epoch": 0.65, + "learning_rate": 5.905708401077128e-05, + "loss": 0.7969, + "step": 3354 + }, + { + "epoch": 0.65, + "learning_rate": 5.900024534087421e-05, + "loss": 0.8013, + "step": 3355 + }, + { + "epoch": 0.65, + "learning_rate": 5.8943422588493544e-05, + "loss": 0.8311, + "step": 3356 + }, + { + "epoch": 0.65, + "learning_rate": 5.8886615775689904e-05, + "loss": 0.7776, + "step": 3357 + }, + { + "epoch": 0.65, + "learning_rate": 5.882982492451757e-05, + "loss": 0.8118, + "step": 3358 + }, + { + "epoch": 0.65, + "learning_rate": 5.8773050057024716e-05, + "loss": 0.3308, + "step": 3359 + }, + { + "epoch": 0.65, + "learning_rate": 5.871629119525335e-05, + "loss": 0.7847, + "step": 3360 + }, + { + "epoch": 0.65, + "learning_rate": 5.865954836123915e-05, + "loss": 0.7532, + "step": 3361 + }, + { + "epoch": 0.65, + "learning_rate": 5.860282157701167e-05, + "loss": 0.8181, + "step": 3362 + }, + { + "epoch": 0.65, + "learning_rate": 5.854611086459423e-05, + "loss": 0.8198, + "step": 3363 + }, + { + "epoch": 0.65, + "learning_rate": 5.848941624600381e-05, + "loss": 0.8171, + "step": 3364 + }, + { + "epoch": 0.65, + "learning_rate": 5.843273774325131e-05, + "loss": 0.8049, + "step": 3365 + }, + { + "epoch": 0.65, + "learning_rate": 5.837607537834119e-05, + "loss": 0.3507, + "step": 3366 + }, + { + "epoch": 0.65, + "learning_rate": 5.8319429173271725e-05, + "loss": 0.8308, + "step": 3367 + }, + { + "epoch": 0.65, + "learning_rate": 5.826279915003503e-05, + "loss": 0.8101, + "step": 3368 + }, + { + "epoch": 0.65, + "learning_rate": 5.820618533061672e-05, + "loss": 0.8157, + "step": 3369 + }, + { + "epoch": 0.65, + "learning_rate": 5.8149587736996246e-05, + "loss": 0.8152, + "step": 3370 + }, + { + "epoch": 0.65, + "learning_rate": 5.809300639114683e-05, + "loss": 0.3632, + "step": 3371 + }, + { + "epoch": 0.65, + "learning_rate": 5.803644131503516e-05, + "loss": 0.8, + "step": 3372 + }, + { + "epoch": 0.65, + "learning_rate": 5.797989253062186e-05, + "loss": 0.8164, + "step": 3373 + }, + { + "epoch": 0.65, + "learning_rate": 5.792336005986105e-05, + "loss": 0.8452, + "step": 3374 + }, + { + "epoch": 0.65, + "learning_rate": 5.7866843924700634e-05, + "loss": 0.8457, + "step": 3375 + }, + { + "epoch": 0.65, + "learning_rate": 5.7810344147082086e-05, + "loss": 0.7988, + "step": 3376 + }, + { + "epoch": 0.65, + "learning_rate": 5.775386074894058e-05, + "loss": 0.8159, + "step": 3377 + }, + { + "epoch": 0.65, + "learning_rate": 5.7697393752204887e-05, + "loss": 0.3552, + "step": 3378 + }, + { + "epoch": 0.65, + "learning_rate": 5.7640943178797444e-05, + "loss": 0.8035, + "step": 3379 + }, + { + "epoch": 0.65, + "learning_rate": 5.758450905063439e-05, + "loss": 0.8198, + "step": 3380 + }, + { + "epoch": 0.65, + "learning_rate": 5.7528091389625247e-05, + "loss": 0.7469, + "step": 3381 + }, + { + "epoch": 0.65, + "learning_rate": 5.747169021767343e-05, + "loss": 0.8335, + "step": 3382 + }, + { + "epoch": 0.65, + "learning_rate": 5.7415305556675805e-05, + "loss": 0.7778, + "step": 3383 + }, + { + "epoch": 0.65, + "learning_rate": 5.7358937428522694e-05, + "loss": 0.803, + "step": 3384 + }, + { + "epoch": 0.65, + "learning_rate": 5.7302585855098315e-05, + "loss": 0.8511, + "step": 3385 + }, + { + "epoch": 0.65, + "learning_rate": 5.7246250858280214e-05, + "loss": 0.8264, + "step": 3386 + }, + { + "epoch": 0.65, + "learning_rate": 5.7189932459939575e-05, + "loss": 0.8389, + "step": 3387 + }, + { + "epoch": 0.65, + "learning_rate": 5.713363068194115e-05, + "loss": 0.7954, + "step": 3388 + }, + { + "epoch": 0.65, + "learning_rate": 5.7077345546143235e-05, + "loss": 0.8499, + "step": 3389 + }, + { + "epoch": 0.65, + "learning_rate": 5.7021077074397654e-05, + "loss": 0.856, + "step": 3390 + }, + { + "epoch": 0.65, + "learning_rate": 5.696482528854974e-05, + "loss": 0.7329, + "step": 3391 + }, + { + "epoch": 0.65, + "learning_rate": 5.6908590210438416e-05, + "loss": 0.7413, + "step": 3392 + }, + { + "epoch": 0.65, + "learning_rate": 5.6852371861896e-05, + "loss": 0.7815, + "step": 3393 + }, + { + "epoch": 0.65, + "learning_rate": 5.6796170264748525e-05, + "loss": 0.7517, + "step": 3394 + }, + { + "epoch": 0.65, + "learning_rate": 5.6739985440815266e-05, + "loss": 0.8113, + "step": 3395 + }, + { + "epoch": 0.65, + "learning_rate": 5.6683817411909114e-05, + "loss": 0.7874, + "step": 3396 + }, + { + "epoch": 0.65, + "learning_rate": 5.6627666199836526e-05, + "loss": 0.3403, + "step": 3397 + }, + { + "epoch": 0.65, + "learning_rate": 5.657153182639721e-05, + "loss": 0.8228, + "step": 3398 + }, + { + "epoch": 0.65, + "learning_rate": 5.651541431338454e-05, + "loss": 0.3475, + "step": 3399 + }, + { + "epoch": 0.65, + "learning_rate": 5.645931368258527e-05, + "loss": 0.8679, + "step": 3400 + }, + { + "epoch": 0.65, + "learning_rate": 5.640322995577958e-05, + "loss": 0.7303, + "step": 3401 + }, + { + "epoch": 0.65, + "learning_rate": 5.634716315474109e-05, + "loss": 0.8079, + "step": 3402 + }, + { + "epoch": 0.65, + "learning_rate": 5.629111330123689e-05, + "loss": 0.8157, + "step": 3403 + }, + { + "epoch": 0.65, + "learning_rate": 5.623508041702743e-05, + "loss": 0.8013, + "step": 3404 + }, + { + "epoch": 0.66, + "learning_rate": 5.617906452386659e-05, + "loss": 0.8308, + "step": 3405 + }, + { + "epoch": 0.66, + "learning_rate": 5.612306564350178e-05, + "loss": 0.3469, + "step": 3406 + }, + { + "epoch": 0.66, + "learning_rate": 5.6067083797673536e-05, + "loss": 0.3132, + "step": 3407 + }, + { + "epoch": 0.66, + "learning_rate": 5.601111900811606e-05, + "loss": 0.8174, + "step": 3408 + }, + { + "epoch": 0.66, + "learning_rate": 5.595517129655681e-05, + "loss": 0.3109, + "step": 3409 + }, + { + "epoch": 0.66, + "learning_rate": 5.589924068471648e-05, + "loss": 0.7463, + "step": 3410 + }, + { + "epoch": 0.66, + "learning_rate": 5.5843327194309394e-05, + "loss": 0.7589, + "step": 3411 + }, + { + "epoch": 0.66, + "learning_rate": 5.578743084704305e-05, + "loss": 0.8185, + "step": 3412 + }, + { + "epoch": 0.66, + "learning_rate": 5.573155166461833e-05, + "loss": 0.7625, + "step": 3413 + }, + { + "epoch": 0.66, + "learning_rate": 5.567568966872947e-05, + "loss": 0.8115, + "step": 3414 + }, + { + "epoch": 0.66, + "learning_rate": 5.5619844881064e-05, + "loss": 0.7498, + "step": 3415 + }, + { + "epoch": 0.66, + "learning_rate": 5.556401732330281e-05, + "loss": 0.8384, + "step": 3416 + }, + { + "epoch": 0.66, + "learning_rate": 5.550820701712007e-05, + "loss": 0.8308, + "step": 3417 + }, + { + "epoch": 0.66, + "learning_rate": 5.545241398418326e-05, + "loss": 0.6696, + "step": 3418 + }, + { + "epoch": 0.66, + "learning_rate": 5.539663824615312e-05, + "loss": 0.7742, + "step": 3419 + }, + { + "epoch": 0.66, + "learning_rate": 5.5340879824683834e-05, + "loss": 0.7761, + "step": 3420 + }, + { + "epoch": 0.66, + "learning_rate": 5.528513874142262e-05, + "loss": 0.7264, + "step": 3421 + }, + { + "epoch": 0.66, + "learning_rate": 5.522941501801008e-05, + "loss": 0.7625, + "step": 3422 + }, + { + "epoch": 0.66, + "learning_rate": 5.51737086760802e-05, + "loss": 0.328, + "step": 3423 + }, + { + "epoch": 0.66, + "learning_rate": 5.5118019737259966e-05, + "loss": 0.8601, + "step": 3424 + }, + { + "epoch": 0.66, + "learning_rate": 5.5062348223169825e-05, + "loss": 0.7659, + "step": 3425 + }, + { + "epoch": 0.66, + "learning_rate": 5.5006694155423356e-05, + "loss": 0.7107, + "step": 3426 + }, + { + "epoch": 0.66, + "learning_rate": 5.495105755562738e-05, + "loss": 0.77, + "step": 3427 + }, + { + "epoch": 0.66, + "learning_rate": 5.489543844538194e-05, + "loss": 0.7213, + "step": 3428 + }, + { + "epoch": 0.66, + "learning_rate": 5.48398368462803e-05, + "loss": 0.7942, + "step": 3429 + }, + { + "epoch": 0.66, + "learning_rate": 5.4784252779908905e-05, + "loss": 0.3656, + "step": 3430 + }, + { + "epoch": 0.66, + "learning_rate": 5.4728686267847354e-05, + "loss": 0.7949, + "step": 3431 + }, + { + "epoch": 0.66, + "learning_rate": 5.467313733166862e-05, + "loss": 0.7893, + "step": 3432 + }, + { + "epoch": 0.66, + "learning_rate": 5.461760599293855e-05, + "loss": 0.8054, + "step": 3433 + }, + { + "epoch": 0.66, + "learning_rate": 5.456209227321642e-05, + "loss": 0.8577, + "step": 3434 + }, + { + "epoch": 0.66, + "learning_rate": 5.4506596194054584e-05, + "loss": 0.854, + "step": 3435 + }, + { + "epoch": 0.66, + "learning_rate": 5.445111777699842e-05, + "loss": 0.864, + "step": 3436 + }, + { + "epoch": 0.66, + "learning_rate": 5.439565704358667e-05, + "loss": 0.8621, + "step": 3437 + }, + { + "epoch": 0.66, + "learning_rate": 5.4340214015351046e-05, + "loss": 0.8489, + "step": 3438 + }, + { + "epoch": 0.66, + "learning_rate": 5.428478871381646e-05, + "loss": 0.7759, + "step": 3439 + }, + { + "epoch": 0.66, + "learning_rate": 5.422938116050091e-05, + "loss": 0.8081, + "step": 3440 + }, + { + "epoch": 0.66, + "learning_rate": 5.417399137691552e-05, + "loss": 0.8557, + "step": 3441 + }, + { + "epoch": 0.66, + "learning_rate": 5.411861938456453e-05, + "loss": 0.795, + "step": 3442 + }, + { + "epoch": 0.66, + "learning_rate": 5.4063265204945224e-05, + "loss": 0.7903, + "step": 3443 + }, + { + "epoch": 0.66, + "learning_rate": 5.400792885954802e-05, + "loss": 0.8853, + "step": 3444 + }, + { + "epoch": 0.66, + "learning_rate": 5.395261036985635e-05, + "loss": 0.7859, + "step": 3445 + }, + { + "epoch": 0.66, + "learning_rate": 5.389730975734686e-05, + "loss": 0.7721, + "step": 3446 + }, + { + "epoch": 0.66, + "learning_rate": 5.384202704348902e-05, + "loss": 0.7266, + "step": 3447 + }, + { + "epoch": 0.66, + "learning_rate": 5.378676224974557e-05, + "loss": 0.8159, + "step": 3448 + }, + { + "epoch": 0.66, + "learning_rate": 5.373151539757224e-05, + "loss": 0.749, + "step": 3449 + }, + { + "epoch": 0.66, + "learning_rate": 5.36762865084176e-05, + "loss": 0.8149, + "step": 3450 + }, + { + "epoch": 0.66, + "learning_rate": 5.362107560372358e-05, + "loss": 0.7676, + "step": 3451 + }, + { + "epoch": 0.66, + "learning_rate": 5.356588270492487e-05, + "loss": 0.8389, + "step": 3452 + }, + { + "epoch": 0.66, + "learning_rate": 5.351070783344926e-05, + "loss": 0.7065, + "step": 3453 + }, + { + "epoch": 0.66, + "learning_rate": 5.3455551010717545e-05, + "loss": 0.7841, + "step": 3454 + }, + { + "epoch": 0.66, + "learning_rate": 5.340041225814349e-05, + "loss": 0.7964, + "step": 3455 + }, + { + "epoch": 0.66, + "learning_rate": 5.334529159713388e-05, + "loss": 0.8413, + "step": 3456 + }, + { + "epoch": 0.67, + "learning_rate": 5.3290189049088416e-05, + "loss": 0.7651, + "step": 3457 + }, + { + "epoch": 0.67, + "learning_rate": 5.323510463539989e-05, + "loss": 0.8074, + "step": 3458 + }, + { + "epoch": 0.67, + "learning_rate": 5.3180038377453826e-05, + "loss": 0.7885, + "step": 3459 + }, + { + "epoch": 0.67, + "learning_rate": 5.3124990296628976e-05, + "loss": 0.7859, + "step": 3460 + }, + { + "epoch": 0.67, + "learning_rate": 5.306996041429687e-05, + "loss": 0.8069, + "step": 3461 + }, + { + "epoch": 0.67, + "learning_rate": 5.3014948751821915e-05, + "loss": 0.7283, + "step": 3462 + }, + { + "epoch": 0.67, + "learning_rate": 5.295995533056162e-05, + "loss": 0.823, + "step": 3463 + }, + { + "epoch": 0.67, + "learning_rate": 5.290498017186631e-05, + "loss": 0.8394, + "step": 3464 + }, + { + "epoch": 0.67, + "learning_rate": 5.285002329707923e-05, + "loss": 0.8315, + "step": 3465 + }, + { + "epoch": 0.67, + "learning_rate": 5.2795084727536536e-05, + "loss": 0.8101, + "step": 3466 + }, + { + "epoch": 0.67, + "learning_rate": 5.274016448456724e-05, + "loss": 0.8206, + "step": 3467 + }, + { + "epoch": 0.67, + "learning_rate": 5.268526258949331e-05, + "loss": 0.3004, + "step": 3468 + }, + { + "epoch": 0.67, + "learning_rate": 5.2630379063629534e-05, + "loss": 0.8237, + "step": 3469 + }, + { + "epoch": 0.67, + "learning_rate": 5.2575513928283594e-05, + "loss": 0.8171, + "step": 3470 + }, + { + "epoch": 0.67, + "learning_rate": 5.252066720475597e-05, + "loss": 0.8284, + "step": 3471 + }, + { + "epoch": 0.67, + "learning_rate": 5.246583891434018e-05, + "loss": 0.7896, + "step": 3472 + }, + { + "epoch": 0.67, + "learning_rate": 5.2411029078322314e-05, + "loss": 0.761, + "step": 3473 + }, + { + "epoch": 0.67, + "learning_rate": 5.235623771798151e-05, + "loss": 0.7817, + "step": 3474 + }, + { + "epoch": 0.67, + "learning_rate": 5.2301464854589696e-05, + "loss": 0.3381, + "step": 3475 + }, + { + "epoch": 0.67, + "learning_rate": 5.224671050941146e-05, + "loss": 0.7438, + "step": 3476 + }, + { + "epoch": 0.67, + "learning_rate": 5.219197470370443e-05, + "loss": 0.8096, + "step": 3477 + }, + { + "epoch": 0.67, + "learning_rate": 5.2137257458718894e-05, + "loss": 0.7522, + "step": 3478 + }, + { + "epoch": 0.67, + "learning_rate": 5.208255879569799e-05, + "loss": 0.783, + "step": 3479 + }, + { + "epoch": 0.67, + "learning_rate": 5.20278787358776e-05, + "loss": 0.7935, + "step": 3480 + }, + { + "epoch": 0.67, + "learning_rate": 5.197321730048641e-05, + "loss": 0.8132, + "step": 3481 + }, + { + "epoch": 0.67, + "learning_rate": 5.191857451074587e-05, + "loss": 0.7401, + "step": 3482 + }, + { + "epoch": 0.67, + "learning_rate": 5.1863950387870176e-05, + "loss": 0.8389, + "step": 3483 + }, + { + "epoch": 0.67, + "learning_rate": 5.1809344953066374e-05, + "loss": 0.7761, + "step": 3484 + }, + { + "epoch": 0.67, + "learning_rate": 5.175475822753404e-05, + "loss": 0.8115, + "step": 3485 + }, + { + "epoch": 0.67, + "learning_rate": 5.170019023246574e-05, + "loss": 0.8376, + "step": 3486 + }, + { + "epoch": 0.67, + "learning_rate": 5.1645640989046595e-05, + "loss": 0.8459, + "step": 3487 + }, + { + "epoch": 0.67, + "learning_rate": 5.159111051845451e-05, + "loss": 0.7555, + "step": 3488 + }, + { + "epoch": 0.67, + "learning_rate": 5.153659884186013e-05, + "loss": 0.7744, + "step": 3489 + }, + { + "epoch": 0.67, + "learning_rate": 5.1482105980426643e-05, + "loss": 0.764, + "step": 3490 + }, + { + "epoch": 0.67, + "learning_rate": 5.142763195531017e-05, + "loss": 0.7816, + "step": 3491 + }, + { + "epoch": 0.67, + "learning_rate": 5.1373176787659386e-05, + "loss": 0.7616, + "step": 3492 + }, + { + "epoch": 0.67, + "learning_rate": 5.1318740498615624e-05, + "loss": 0.8574, + "step": 3493 + }, + { + "epoch": 0.67, + "learning_rate": 5.126432310931295e-05, + "loss": 0.8237, + "step": 3494 + }, + { + "epoch": 0.67, + "learning_rate": 5.120992464087807e-05, + "loss": 0.8091, + "step": 3495 + }, + { + "epoch": 0.67, + "learning_rate": 5.115554511443033e-05, + "loss": 0.7441, + "step": 3496 + }, + { + "epoch": 0.67, + "learning_rate": 5.11011845510817e-05, + "loss": 0.8086, + "step": 3497 + }, + { + "epoch": 0.67, + "learning_rate": 5.1046842971936936e-05, + "loss": 0.7969, + "step": 3498 + }, + { + "epoch": 0.67, + "learning_rate": 5.099252039809317e-05, + "loss": 0.8, + "step": 3499 + }, + { + "epoch": 0.67, + "learning_rate": 5.0938216850640396e-05, + "loss": 0.8425, + "step": 3500 + }, + { + "epoch": 0.67, + "learning_rate": 5.0883932350661134e-05, + "loss": 0.8228, + "step": 3501 + }, + { + "epoch": 0.67, + "learning_rate": 5.082966691923037e-05, + "loss": 0.8223, + "step": 3502 + }, + { + "epoch": 0.67, + "learning_rate": 5.077542057741592e-05, + "loss": 0.7205, + "step": 3503 + }, + { + "epoch": 0.67, + "learning_rate": 5.072119334627806e-05, + "loss": 0.8088, + "step": 3504 + }, + { + "epoch": 0.67, + "learning_rate": 5.066698524686966e-05, + "loss": 0.8049, + "step": 3505 + }, + { + "epoch": 0.67, + "learning_rate": 5.0612796300236175e-05, + "loss": 0.8667, + "step": 3506 + }, + { + "epoch": 0.67, + "learning_rate": 5.055862652741562e-05, + "loss": 0.8, + "step": 3507 + }, + { + "epoch": 0.67, + "learning_rate": 5.0504475949438555e-05, + "loss": 0.7828, + "step": 3508 + }, + { + "epoch": 0.68, + "learning_rate": 5.045034458732808e-05, + "loss": 0.8105, + "step": 3509 + }, + { + "epoch": 0.68, + "learning_rate": 5.039623246209995e-05, + "loss": 0.7601, + "step": 3510 + }, + { + "epoch": 0.68, + "learning_rate": 5.0342139594762216e-05, + "loss": 0.8035, + "step": 3511 + }, + { + "epoch": 0.68, + "learning_rate": 5.028806600631569e-05, + "loss": 0.7817, + "step": 3512 + }, + { + "epoch": 0.68, + "learning_rate": 5.023401171775357e-05, + "loss": 0.3508, + "step": 3513 + }, + { + "epoch": 0.68, + "learning_rate": 5.0179976750061605e-05, + "loss": 0.8037, + "step": 3514 + }, + { + "epoch": 0.68, + "learning_rate": 5.012596112421806e-05, + "loss": 0.7976, + "step": 3515 + }, + { + "epoch": 0.68, + "learning_rate": 5.007196486119354e-05, + "loss": 0.8557, + "step": 3516 + }, + { + "epoch": 0.68, + "learning_rate": 5.001798798195136e-05, + "loss": 0.7518, + "step": 3517 + }, + { + "epoch": 0.68, + "learning_rate": 4.996403050744719e-05, + "loss": 0.7959, + "step": 3518 + }, + { + "epoch": 0.68, + "learning_rate": 4.991009245862917e-05, + "loss": 0.7809, + "step": 3519 + }, + { + "epoch": 0.68, + "learning_rate": 4.985617385643789e-05, + "loss": 0.7572, + "step": 3520 + }, + { + "epoch": 0.68, + "learning_rate": 4.980227472180643e-05, + "loss": 0.7706, + "step": 3521 + }, + { + "epoch": 0.68, + "learning_rate": 4.974839507566027e-05, + "loss": 0.7434, + "step": 3522 + }, + { + "epoch": 0.68, + "learning_rate": 4.969453493891732e-05, + "loss": 0.3005, + "step": 3523 + }, + { + "epoch": 0.68, + "learning_rate": 4.964069433248807e-05, + "loss": 0.8916, + "step": 3524 + }, + { + "epoch": 0.68, + "learning_rate": 4.95868732772751e-05, + "loss": 0.8718, + "step": 3525 + }, + { + "epoch": 0.68, + "learning_rate": 4.953307179417376e-05, + "loss": 0.7507, + "step": 3526 + }, + { + "epoch": 0.68, + "learning_rate": 4.947928990407156e-05, + "loss": 0.7791, + "step": 3527 + }, + { + "epoch": 0.68, + "learning_rate": 4.94255276278485e-05, + "loss": 0.7795, + "step": 3528 + }, + { + "epoch": 0.68, + "learning_rate": 4.937178498637696e-05, + "loss": 0.7949, + "step": 3529 + }, + { + "epoch": 0.68, + "learning_rate": 4.9318062000521644e-05, + "loss": 0.7346, + "step": 3530 + }, + { + "epoch": 0.68, + "learning_rate": 4.926435869113971e-05, + "loss": 0.7234, + "step": 3531 + }, + { + "epoch": 0.68, + "learning_rate": 4.9210675079080607e-05, + "loss": 0.7721, + "step": 3532 + }, + { + "epoch": 0.68, + "learning_rate": 4.915701118518615e-05, + "loss": 0.783, + "step": 3533 + }, + { + "epoch": 0.68, + "learning_rate": 4.9103367030290547e-05, + "loss": 0.7852, + "step": 3534 + }, + { + "epoch": 0.68, + "learning_rate": 4.9049742635220243e-05, + "loss": 0.3293, + "step": 3535 + }, + { + "epoch": 0.68, + "learning_rate": 4.899613802079419e-05, + "loss": 0.7898, + "step": 3536 + }, + { + "epoch": 0.68, + "learning_rate": 4.8942553207823395e-05, + "loss": 0.7262, + "step": 3537 + }, + { + "epoch": 0.68, + "learning_rate": 4.8888988217111444e-05, + "loss": 0.7957, + "step": 3538 + }, + { + "epoch": 0.68, + "learning_rate": 4.883544306945407e-05, + "loss": 0.8149, + "step": 3539 + }, + { + "epoch": 0.68, + "learning_rate": 4.878191778563934e-05, + "loss": 0.7578, + "step": 3540 + }, + { + "epoch": 0.68, + "learning_rate": 4.8728412386447654e-05, + "loss": 0.7876, + "step": 3541 + }, + { + "epoch": 0.68, + "learning_rate": 4.867492689265154e-05, + "loss": 0.7762, + "step": 3542 + }, + { + "epoch": 0.68, + "learning_rate": 4.862146132501602e-05, + "loss": 0.6918, + "step": 3543 + }, + { + "epoch": 0.68, + "learning_rate": 4.856801570429822e-05, + "loss": 0.2961, + "step": 3544 + }, + { + "epoch": 0.68, + "learning_rate": 4.851459005124759e-05, + "loss": 0.8079, + "step": 3545 + }, + { + "epoch": 0.68, + "learning_rate": 4.8461184386605785e-05, + "loss": 0.7942, + "step": 3546 + }, + { + "epoch": 0.68, + "learning_rate": 4.8407798731106746e-05, + "loss": 0.7671, + "step": 3547 + }, + { + "epoch": 0.68, + "learning_rate": 4.8354433105476604e-05, + "loss": 0.349, + "step": 3548 + }, + { + "epoch": 0.68, + "learning_rate": 4.83010875304337e-05, + "loss": 0.7587, + "step": 3549 + }, + { + "epoch": 0.68, + "learning_rate": 4.8247762026688746e-05, + "loss": 0.7847, + "step": 3550 + }, + { + "epoch": 0.68, + "learning_rate": 4.8194456614944375e-05, + "loss": 0.8125, + "step": 3551 + }, + { + "epoch": 0.68, + "learning_rate": 4.814117131589569e-05, + "loss": 0.7283, + "step": 3552 + }, + { + "epoch": 0.68, + "learning_rate": 4.8087906150229866e-05, + "loss": 0.8352, + "step": 3553 + }, + { + "epoch": 0.68, + "learning_rate": 4.8034661138626255e-05, + "loss": 0.7183, + "step": 3554 + }, + { + "epoch": 0.68, + "learning_rate": 4.798143630175642e-05, + "loss": 0.8359, + "step": 3555 + }, + { + "epoch": 0.68, + "learning_rate": 4.7928231660284054e-05, + "loss": 0.8301, + "step": 3556 + }, + { + "epoch": 0.68, + "learning_rate": 4.7875047234865045e-05, + "loss": 0.843, + "step": 3557 + }, + { + "epoch": 0.68, + "learning_rate": 4.782188304614741e-05, + "loss": 0.7881, + "step": 3558 + }, + { + "epoch": 0.68, + "learning_rate": 4.776873911477132e-05, + "loss": 0.7815, + "step": 3559 + }, + { + "epoch": 0.68, + "learning_rate": 4.771561546136908e-05, + "loss": 0.7986, + "step": 3560 + }, + { + "epoch": 0.69, + "learning_rate": 4.766251210656509e-05, + "loss": 0.8237, + "step": 3561 + }, + { + "epoch": 0.69, + "learning_rate": 4.7609429070976006e-05, + "loss": 0.7786, + "step": 3562 + }, + { + "epoch": 0.69, + "learning_rate": 4.7556366375210345e-05, + "loss": 0.7876, + "step": 3563 + }, + { + "epoch": 0.69, + "learning_rate": 4.750332403986901e-05, + "loss": 0.7343, + "step": 3564 + }, + { + "epoch": 0.69, + "learning_rate": 4.745030208554473e-05, + "loss": 0.8125, + "step": 3565 + }, + { + "epoch": 0.69, + "learning_rate": 4.739730053282255e-05, + "loss": 0.7614, + "step": 3566 + }, + { + "epoch": 0.69, + "learning_rate": 4.734431940227951e-05, + "loss": 0.7654, + "step": 3567 + }, + { + "epoch": 0.69, + "learning_rate": 4.729135871448459e-05, + "loss": 0.8274, + "step": 3568 + }, + { + "epoch": 0.69, + "learning_rate": 4.723841848999907e-05, + "loss": 0.7825, + "step": 3569 + }, + { + "epoch": 0.69, + "learning_rate": 4.7185498749376125e-05, + "loss": 0.8169, + "step": 3570 + }, + { + "epoch": 0.69, + "learning_rate": 4.713259951316103e-05, + "loss": 0.8445, + "step": 3571 + }, + { + "epoch": 0.69, + "learning_rate": 4.7079720801891055e-05, + "loss": 0.7751, + "step": 3572 + }, + { + "epoch": 0.69, + "learning_rate": 4.702686263609559e-05, + "loss": 0.3225, + "step": 3573 + }, + { + "epoch": 0.69, + "learning_rate": 4.6974025036295954e-05, + "loss": 0.7805, + "step": 3574 + }, + { + "epoch": 0.69, + "learning_rate": 4.6921208023005505e-05, + "loss": 0.8311, + "step": 3575 + }, + { + "epoch": 0.69, + "learning_rate": 4.6868411616729734e-05, + "loss": 0.7386, + "step": 3576 + }, + { + "epoch": 0.69, + "learning_rate": 4.681563583796587e-05, + "loss": 0.7859, + "step": 3577 + }, + { + "epoch": 0.69, + "learning_rate": 4.6762880707203404e-05, + "loss": 0.7897, + "step": 3578 + }, + { + "epoch": 0.69, + "learning_rate": 4.671014624492365e-05, + "loss": 0.7422, + "step": 3579 + }, + { + "epoch": 0.69, + "learning_rate": 4.665743247159995e-05, + "loss": 0.756, + "step": 3580 + }, + { + "epoch": 0.69, + "learning_rate": 4.660473940769761e-05, + "loss": 0.781, + "step": 3581 + }, + { + "epoch": 0.69, + "learning_rate": 4.6552067073673876e-05, + "loss": 0.8604, + "step": 3582 + }, + { + "epoch": 0.69, + "learning_rate": 4.649941548997797e-05, + "loss": 0.7399, + "step": 3583 + }, + { + "epoch": 0.69, + "learning_rate": 4.644678467705101e-05, + "loss": 0.7784, + "step": 3584 + }, + { + "epoch": 0.69, + "learning_rate": 4.6394174655326216e-05, + "loss": 0.8074, + "step": 3585 + }, + { + "epoch": 0.69, + "learning_rate": 4.6341585445228485e-05, + "loss": 0.3293, + "step": 3586 + }, + { + "epoch": 0.69, + "learning_rate": 4.628901706717476e-05, + "loss": 0.7361, + "step": 3587 + }, + { + "epoch": 0.69, + "learning_rate": 4.623646954157399e-05, + "loss": 0.7925, + "step": 3588 + }, + { + "epoch": 0.69, + "learning_rate": 4.618394288882681e-05, + "loss": 0.3269, + "step": 3589 + }, + { + "epoch": 0.69, + "learning_rate": 4.6131437129326025e-05, + "loss": 0.8069, + "step": 3590 + }, + { + "epoch": 0.69, + "learning_rate": 4.6078952283456024e-05, + "loss": 0.8174, + "step": 3591 + }, + { + "epoch": 0.69, + "learning_rate": 4.6026488371593325e-05, + "loss": 0.8528, + "step": 3592 + }, + { + "epoch": 0.69, + "learning_rate": 4.5974045414106216e-05, + "loss": 0.801, + "step": 3593 + }, + { + "epoch": 0.69, + "learning_rate": 4.592162343135483e-05, + "loss": 0.7761, + "step": 3594 + }, + { + "epoch": 0.69, + "learning_rate": 4.586922244369122e-05, + "loss": 0.8142, + "step": 3595 + }, + { + "epoch": 0.69, + "learning_rate": 4.581684247145922e-05, + "loss": 0.7815, + "step": 3596 + }, + { + "epoch": 0.69, + "learning_rate": 4.576448353499456e-05, + "loss": 0.7145, + "step": 3597 + }, + { + "epoch": 0.69, + "learning_rate": 4.5712145654624774e-05, + "loss": 0.811, + "step": 3598 + }, + { + "epoch": 0.69, + "learning_rate": 4.565982885066923e-05, + "loss": 0.7922, + "step": 3599 + }, + { + "epoch": 0.69, + "learning_rate": 4.560753314343912e-05, + "loss": 0.7656, + "step": 3600 + }, + { + "epoch": 0.69, + "learning_rate": 4.555525855323738e-05, + "loss": 0.7797, + "step": 3601 + }, + { + "epoch": 0.69, + "learning_rate": 4.5503005100358945e-05, + "loss": 0.3674, + "step": 3602 + }, + { + "epoch": 0.69, + "learning_rate": 4.5450772805090226e-05, + "loss": 0.8466, + "step": 3603 + }, + { + "epoch": 0.69, + "learning_rate": 4.539856168770974e-05, + "loss": 0.8416, + "step": 3604 + }, + { + "epoch": 0.69, + "learning_rate": 4.5346371768487586e-05, + "loss": 0.8052, + "step": 3605 + }, + { + "epoch": 0.69, + "learning_rate": 4.529420306768569e-05, + "loss": 0.7734, + "step": 3606 + }, + { + "epoch": 0.69, + "learning_rate": 4.524205560555774e-05, + "loss": 0.7782, + "step": 3607 + }, + { + "epoch": 0.69, + "learning_rate": 4.518992940234917e-05, + "loss": 0.7759, + "step": 3608 + }, + { + "epoch": 0.69, + "learning_rate": 4.5137824478297177e-05, + "loss": 0.7562, + "step": 3609 + }, + { + "epoch": 0.69, + "learning_rate": 4.508574085363064e-05, + "loss": 0.7908, + "step": 3610 + }, + { + "epoch": 0.69, + "learning_rate": 4.5033678548570346e-05, + "loss": 0.825, + "step": 3611 + }, + { + "epoch": 0.69, + "learning_rate": 4.498163758332853e-05, + "loss": 0.8208, + "step": 3612 + }, + { + "epoch": 0.7, + "learning_rate": 4.4929617978109315e-05, + "loss": 0.8083, + "step": 3613 + }, + { + "epoch": 0.7, + "learning_rate": 4.48776197531086e-05, + "loss": 0.7915, + "step": 3614 + }, + { + "epoch": 0.7, + "learning_rate": 4.4825642928513744e-05, + "loss": 0.7809, + "step": 3615 + }, + { + "epoch": 0.7, + "learning_rate": 4.4773687524504084e-05, + "loss": 0.8428, + "step": 3616 + }, + { + "epoch": 0.7, + "learning_rate": 4.4721753561250354e-05, + "loss": 0.7969, + "step": 3617 + }, + { + "epoch": 0.7, + "learning_rate": 4.466984105891521e-05, + "loss": 0.8184, + "step": 3618 + }, + { + "epoch": 0.7, + "learning_rate": 4.4617950037652846e-05, + "loss": 0.7548, + "step": 3619 + }, + { + "epoch": 0.7, + "learning_rate": 4.4566080517609134e-05, + "loss": 0.3434, + "step": 3620 + }, + { + "epoch": 0.7, + "learning_rate": 4.4514232518921605e-05, + "loss": 0.8218, + "step": 3621 + }, + { + "epoch": 0.7, + "learning_rate": 4.4462406061719455e-05, + "loss": 0.8246, + "step": 3622 + }, + { + "epoch": 0.7, + "learning_rate": 4.441060116612348e-05, + "loss": 0.7739, + "step": 3623 + }, + { + "epoch": 0.7, + "learning_rate": 4.435881785224613e-05, + "loss": 0.8125, + "step": 3624 + }, + { + "epoch": 0.7, + "learning_rate": 4.430705614019147e-05, + "loss": 0.8535, + "step": 3625 + }, + { + "epoch": 0.7, + "learning_rate": 4.425531605005518e-05, + "loss": 0.7415, + "step": 3626 + }, + { + "epoch": 0.7, + "learning_rate": 4.420359760192452e-05, + "loss": 0.7572, + "step": 3627 + }, + { + "epoch": 0.7, + "learning_rate": 4.415190081587845e-05, + "loss": 0.3195, + "step": 3628 + }, + { + "epoch": 0.7, + "learning_rate": 4.4100225711987344e-05, + "loss": 0.8136, + "step": 3629 + }, + { + "epoch": 0.7, + "learning_rate": 4.404857231031332e-05, + "loss": 0.694, + "step": 3630 + }, + { + "epoch": 0.7, + "learning_rate": 4.3996940630909985e-05, + "loss": 0.7788, + "step": 3631 + }, + { + "epoch": 0.7, + "learning_rate": 4.394533069382255e-05, + "loss": 0.8401, + "step": 3632 + }, + { + "epoch": 0.7, + "learning_rate": 4.3893742519087754e-05, + "loss": 0.7618, + "step": 3633 + }, + { + "epoch": 0.7, + "learning_rate": 4.3842176126733916e-05, + "loss": 0.3618, + "step": 3634 + }, + { + "epoch": 0.7, + "learning_rate": 4.379063153678087e-05, + "loss": 0.8555, + "step": 3635 + }, + { + "epoch": 0.7, + "learning_rate": 4.373910876923997e-05, + "loss": 0.8228, + "step": 3636 + }, + { + "epoch": 0.7, + "learning_rate": 4.368760784411423e-05, + "loss": 0.7651, + "step": 3637 + }, + { + "epoch": 0.7, + "learning_rate": 4.363612878139799e-05, + "loss": 0.856, + "step": 3638 + }, + { + "epoch": 0.7, + "learning_rate": 4.358467160107722e-05, + "loss": 0.8, + "step": 3639 + }, + { + "epoch": 0.7, + "learning_rate": 4.353323632312938e-05, + "loss": 0.7671, + "step": 3640 + }, + { + "epoch": 0.7, + "learning_rate": 4.348182296752336e-05, + "loss": 0.7249, + "step": 3641 + }, + { + "epoch": 0.7, + "learning_rate": 4.343043155421971e-05, + "loss": 0.7617, + "step": 3642 + }, + { + "epoch": 0.7, + "learning_rate": 4.337906210317021e-05, + "loss": 0.7888, + "step": 3643 + }, + { + "epoch": 0.7, + "learning_rate": 4.332771463431836e-05, + "loss": 0.8015, + "step": 3644 + }, + { + "epoch": 0.7, + "learning_rate": 4.3276389167598975e-05, + "loss": 0.802, + "step": 3645 + }, + { + "epoch": 0.7, + "learning_rate": 4.322508572293835e-05, + "loss": 0.7756, + "step": 3646 + }, + { + "epoch": 0.7, + "learning_rate": 4.3173804320254275e-05, + "loss": 0.8127, + "step": 3647 + }, + { + "epoch": 0.7, + "learning_rate": 4.312254497945595e-05, + "loss": 0.7896, + "step": 3648 + }, + { + "epoch": 0.7, + "learning_rate": 4.307130772044401e-05, + "loss": 0.7791, + "step": 3649 + }, + { + "epoch": 0.7, + "learning_rate": 4.302009256311048e-05, + "loss": 0.7441, + "step": 3650 + }, + { + "epoch": 0.7, + "learning_rate": 4.296889952733898e-05, + "loss": 0.8652, + "step": 3651 + }, + { + "epoch": 0.7, + "learning_rate": 4.291772863300427e-05, + "loss": 0.7404, + "step": 3652 + }, + { + "epoch": 0.7, + "learning_rate": 4.286657989997268e-05, + "loss": 0.7683, + "step": 3653 + }, + { + "epoch": 0.7, + "learning_rate": 4.281545334810201e-05, + "loss": 0.7812, + "step": 3654 + }, + { + "epoch": 0.7, + "learning_rate": 4.276434899724119e-05, + "loss": 0.3401, + "step": 3655 + }, + { + "epoch": 0.7, + "learning_rate": 4.2713266867230804e-05, + "loss": 0.8135, + "step": 3656 + }, + { + "epoch": 0.7, + "learning_rate": 4.2662206977902664e-05, + "loss": 0.7719, + "step": 3657 + }, + { + "epoch": 0.7, + "learning_rate": 4.261116934907998e-05, + "loss": 0.7881, + "step": 3658 + }, + { + "epoch": 0.7, + "learning_rate": 4.2560154000577304e-05, + "loss": 0.7903, + "step": 3659 + }, + { + "epoch": 0.7, + "learning_rate": 4.250916095220056e-05, + "loss": 0.7751, + "step": 3660 + }, + { + "epoch": 0.7, + "learning_rate": 4.2458190223747e-05, + "loss": 0.3473, + "step": 3661 + }, + { + "epoch": 0.7, + "learning_rate": 4.2407241835005176e-05, + "loss": 0.7725, + "step": 3662 + }, + { + "epoch": 0.7, + "learning_rate": 4.235631580575513e-05, + "loss": 0.7881, + "step": 3663 + }, + { + "epoch": 0.7, + "learning_rate": 4.230541215576798e-05, + "loss": 0.7939, + "step": 3664 + }, + { + "epoch": 0.71, + "learning_rate": 4.225453090480631e-05, + "loss": 0.7469, + "step": 3665 + }, + { + "epoch": 0.71, + "learning_rate": 4.220367207262398e-05, + "loss": 0.767, + "step": 3666 + }, + { + "epoch": 0.71, + "learning_rate": 4.2152835678966096e-05, + "loss": 0.7341, + "step": 3667 + }, + { + "epoch": 0.71, + "learning_rate": 4.210202174356922e-05, + "loss": 0.843, + "step": 3668 + }, + { + "epoch": 0.71, + "learning_rate": 4.20512302861609e-05, + "loss": 0.8132, + "step": 3669 + }, + { + "epoch": 0.71, + "learning_rate": 4.200046132646027e-05, + "loss": 0.7761, + "step": 3670 + }, + { + "epoch": 0.71, + "learning_rate": 4.1949714884177525e-05, + "loss": 0.761, + "step": 3671 + }, + { + "epoch": 0.71, + "learning_rate": 4.1898990979014205e-05, + "loss": 0.7521, + "step": 3672 + }, + { + "epoch": 0.71, + "learning_rate": 4.184828963066305e-05, + "loss": 0.6649, + "step": 3673 + }, + { + "epoch": 0.71, + "learning_rate": 4.179761085880809e-05, + "loss": 0.751, + "step": 3674 + }, + { + "epoch": 0.71, + "learning_rate": 4.174695468312456e-05, + "loss": 0.3344, + "step": 3675 + }, + { + "epoch": 0.71, + "learning_rate": 4.16963211232789e-05, + "loss": 0.7927, + "step": 3676 + }, + { + "epoch": 0.71, + "learning_rate": 4.16457101989289e-05, + "loss": 0.75, + "step": 3677 + }, + { + "epoch": 0.71, + "learning_rate": 4.159512192972337e-05, + "loss": 0.7491, + "step": 3678 + }, + { + "epoch": 0.71, + "learning_rate": 4.15445563353024e-05, + "loss": 0.8333, + "step": 3679 + }, + { + "epoch": 0.71, + "learning_rate": 4.1494013435297416e-05, + "loss": 0.8083, + "step": 3680 + }, + { + "epoch": 0.71, + "learning_rate": 4.1443493249330766e-05, + "loss": 0.7395, + "step": 3681 + }, + { + "epoch": 0.71, + "learning_rate": 4.139299579701623e-05, + "loss": 0.7588, + "step": 3682 + }, + { + "epoch": 0.71, + "learning_rate": 4.134252109795863e-05, + "loss": 0.7233, + "step": 3683 + }, + { + "epoch": 0.71, + "learning_rate": 4.129206917175397e-05, + "loss": 0.8445, + "step": 3684 + }, + { + "epoch": 0.71, + "learning_rate": 4.124164003798944e-05, + "loss": 0.8044, + "step": 3685 + }, + { + "epoch": 0.71, + "learning_rate": 4.119123371624335e-05, + "loss": 0.7625, + "step": 3686 + }, + { + "epoch": 0.71, + "learning_rate": 4.114085022608517e-05, + "loss": 0.7474, + "step": 3687 + }, + { + "epoch": 0.71, + "learning_rate": 4.109048958707552e-05, + "loss": 0.8196, + "step": 3688 + }, + { + "epoch": 0.71, + "learning_rate": 4.104015181876612e-05, + "loss": 0.73, + "step": 3689 + }, + { + "epoch": 0.71, + "learning_rate": 4.09898369406998e-05, + "loss": 0.752, + "step": 3690 + }, + { + "epoch": 0.71, + "learning_rate": 4.093954497241064e-05, + "loss": 0.8125, + "step": 3691 + }, + { + "epoch": 0.71, + "learning_rate": 4.088927593342358e-05, + "loss": 0.8059, + "step": 3692 + }, + { + "epoch": 0.71, + "learning_rate": 4.0839029843254814e-05, + "loss": 0.8232, + "step": 3693 + }, + { + "epoch": 0.71, + "learning_rate": 4.078880672141171e-05, + "loss": 0.8325, + "step": 3694 + }, + { + "epoch": 0.71, + "learning_rate": 4.073860658739246e-05, + "loss": 0.7148, + "step": 3695 + }, + { + "epoch": 0.71, + "learning_rate": 4.0688429460686605e-05, + "loss": 0.7881, + "step": 3696 + }, + { + "epoch": 0.71, + "learning_rate": 4.0638275360774594e-05, + "loss": 0.8438, + "step": 3697 + }, + { + "epoch": 0.71, + "learning_rate": 4.058814430712796e-05, + "loss": 0.74, + "step": 3698 + }, + { + "epoch": 0.71, + "learning_rate": 4.053803631920933e-05, + "loss": 0.8328, + "step": 3699 + }, + { + "epoch": 0.71, + "learning_rate": 4.0487951416472326e-05, + "loss": 0.7649, + "step": 3700 + }, + { + "epoch": 0.71, + "learning_rate": 4.0437889618361635e-05, + "loss": 0.7639, + "step": 3701 + }, + { + "epoch": 0.71, + "learning_rate": 4.0387850944312957e-05, + "loss": 0.7827, + "step": 3702 + }, + { + "epoch": 0.71, + "learning_rate": 4.033783541375311e-05, + "loss": 0.8157, + "step": 3703 + }, + { + "epoch": 0.71, + "learning_rate": 4.028784304609976e-05, + "loss": 0.8025, + "step": 3704 + }, + { + "epoch": 0.71, + "learning_rate": 4.0237873860761646e-05, + "loss": 0.8252, + "step": 3705 + }, + { + "epoch": 0.71, + "learning_rate": 4.018792787713864e-05, + "loss": 0.7584, + "step": 3706 + }, + { + "epoch": 0.71, + "learning_rate": 4.013800511462135e-05, + "loss": 0.7906, + "step": 3707 + }, + { + "epoch": 0.71, + "learning_rate": 4.0088105592591616e-05, + "loss": 0.7993, + "step": 3708 + }, + { + "epoch": 0.71, + "learning_rate": 4.003822933042213e-05, + "loss": 0.7588, + "step": 3709 + }, + { + "epoch": 0.71, + "learning_rate": 3.998837634747655e-05, + "loss": 0.7578, + "step": 3710 + }, + { + "epoch": 0.71, + "learning_rate": 3.9938546663109544e-05, + "loss": 0.7861, + "step": 3711 + }, + { + "epoch": 0.71, + "learning_rate": 3.9888740296666696e-05, + "loss": 0.8328, + "step": 3712 + }, + { + "epoch": 0.71, + "learning_rate": 3.983895726748455e-05, + "loss": 0.7777, + "step": 3713 + }, + { + "epoch": 0.71, + "learning_rate": 3.9789197594890606e-05, + "loss": 0.7682, + "step": 3714 + }, + { + "epoch": 0.71, + "learning_rate": 3.973946129820326e-05, + "loss": 0.8248, + "step": 3715 + }, + { + "epoch": 0.71, + "learning_rate": 3.9689748396731854e-05, + "loss": 0.8116, + "step": 3716 + }, + { + "epoch": 0.72, + "learning_rate": 3.964005890977672e-05, + "loss": 0.8623, + "step": 3717 + }, + { + "epoch": 0.72, + "learning_rate": 3.959039285662894e-05, + "loss": 0.7888, + "step": 3718 + }, + { + "epoch": 0.72, + "learning_rate": 3.954075025657058e-05, + "loss": 0.7709, + "step": 3719 + }, + { + "epoch": 0.72, + "learning_rate": 3.949113112887471e-05, + "loss": 0.8604, + "step": 3720 + }, + { + "epoch": 0.72, + "learning_rate": 3.944153549280506e-05, + "loss": 0.7736, + "step": 3721 + }, + { + "epoch": 0.72, + "learning_rate": 3.939196336761645e-05, + "loss": 0.8071, + "step": 3722 + }, + { + "epoch": 0.72, + "learning_rate": 3.934241477255445e-05, + "loss": 0.8325, + "step": 3723 + }, + { + "epoch": 0.72, + "learning_rate": 3.929288972685554e-05, + "loss": 0.8387, + "step": 3724 + }, + { + "epoch": 0.72, + "learning_rate": 3.9243388249747046e-05, + "loss": 0.8328, + "step": 3725 + }, + { + "epoch": 0.72, + "learning_rate": 3.919391036044715e-05, + "loss": 0.8159, + "step": 3726 + }, + { + "epoch": 0.72, + "learning_rate": 3.914445607816486e-05, + "loss": 0.7507, + "step": 3727 + }, + { + "epoch": 0.72, + "learning_rate": 3.9095025422100003e-05, + "loss": 0.7678, + "step": 3728 + }, + { + "epoch": 0.72, + "learning_rate": 3.9045618411443374e-05, + "loss": 0.785, + "step": 3729 + }, + { + "epoch": 0.72, + "learning_rate": 3.8996235065376354e-05, + "loss": 0.7827, + "step": 3730 + }, + { + "epoch": 0.72, + "learning_rate": 3.894687540307127e-05, + "loss": 0.7507, + "step": 3731 + }, + { + "epoch": 0.72, + "learning_rate": 3.889753944369135e-05, + "loss": 0.3478, + "step": 3732 + }, + { + "epoch": 0.72, + "learning_rate": 3.8848227206390364e-05, + "loss": 0.8014, + "step": 3733 + }, + { + "epoch": 0.72, + "learning_rate": 3.879893871031314e-05, + "loss": 0.8052, + "step": 3734 + }, + { + "epoch": 0.72, + "learning_rate": 3.8749673974595105e-05, + "loss": 0.8245, + "step": 3735 + }, + { + "epoch": 0.72, + "learning_rate": 3.870043301836256e-05, + "loss": 0.8252, + "step": 3736 + }, + { + "epoch": 0.72, + "learning_rate": 3.865121586073251e-05, + "loss": 0.7776, + "step": 3737 + }, + { + "epoch": 0.72, + "learning_rate": 3.8602022520812764e-05, + "loss": 0.73, + "step": 3738 + }, + { + "epoch": 0.72, + "learning_rate": 3.855285301770187e-05, + "loss": 0.7737, + "step": 3739 + }, + { + "epoch": 0.72, + "learning_rate": 3.850370737048913e-05, + "loss": 0.7697, + "step": 3740 + }, + { + "epoch": 0.72, + "learning_rate": 3.845458559825457e-05, + "loss": 0.8789, + "step": 3741 + }, + { + "epoch": 0.72, + "learning_rate": 3.840548772006891e-05, + "loss": 0.7629, + "step": 3742 + }, + { + "epoch": 0.72, + "learning_rate": 3.835641375499375e-05, + "loss": 0.8188, + "step": 3743 + }, + { + "epoch": 0.72, + "learning_rate": 3.830736372208118e-05, + "loss": 0.8354, + "step": 3744 + }, + { + "epoch": 0.72, + "learning_rate": 3.825833764037412e-05, + "loss": 0.8066, + "step": 3745 + }, + { + "epoch": 0.72, + "learning_rate": 3.820933552890629e-05, + "loss": 0.7527, + "step": 3746 + }, + { + "epoch": 0.72, + "learning_rate": 3.816035740670185e-05, + "loss": 0.3556, + "step": 3747 + }, + { + "epoch": 0.72, + "learning_rate": 3.8111403292775905e-05, + "loss": 0.7974, + "step": 3748 + }, + { + "epoch": 0.72, + "learning_rate": 3.8062473206134083e-05, + "loss": 0.8062, + "step": 3749 + }, + { + "epoch": 0.72, + "learning_rate": 3.801356716577273e-05, + "loss": 0.7852, + "step": 3750 + }, + { + "epoch": 0.72, + "learning_rate": 3.796468519067887e-05, + "loss": 0.8137, + "step": 3751 + }, + { + "epoch": 0.72, + "learning_rate": 3.7915827299830155e-05, + "loss": 0.7847, + "step": 3752 + }, + { + "epoch": 0.72, + "learning_rate": 3.786699351219489e-05, + "loss": 0.7753, + "step": 3753 + }, + { + "epoch": 0.72, + "learning_rate": 3.7818183846732024e-05, + "loss": 0.8015, + "step": 3754 + }, + { + "epoch": 0.72, + "learning_rate": 3.776939832239125e-05, + "loss": 0.7566, + "step": 3755 + }, + { + "epoch": 0.72, + "learning_rate": 3.772063695811262e-05, + "loss": 0.8333, + "step": 3756 + }, + { + "epoch": 0.72, + "learning_rate": 3.767189977282711e-05, + "loss": 0.8462, + "step": 3757 + }, + { + "epoch": 0.72, + "learning_rate": 3.762318678545616e-05, + "loss": 0.8052, + "step": 3758 + }, + { + "epoch": 0.72, + "learning_rate": 3.7574498014911716e-05, + "loss": 0.8389, + "step": 3759 + }, + { + "epoch": 0.72, + "learning_rate": 3.752583348009657e-05, + "loss": 0.7826, + "step": 3760 + }, + { + "epoch": 0.72, + "learning_rate": 3.7477193199903904e-05, + "loss": 0.325, + "step": 3761 + }, + { + "epoch": 0.72, + "learning_rate": 3.742857719321756e-05, + "loss": 0.7955, + "step": 3762 + }, + { + "epoch": 0.72, + "learning_rate": 3.737998547891195e-05, + "loss": 0.8015, + "step": 3763 + }, + { + "epoch": 0.72, + "learning_rate": 3.7331418075852053e-05, + "loss": 0.7917, + "step": 3764 + }, + { + "epoch": 0.72, + "learning_rate": 3.728287500289339e-05, + "loss": 0.8162, + "step": 3765 + }, + { + "epoch": 0.72, + "learning_rate": 3.723435627888208e-05, + "loss": 0.8149, + "step": 3766 + }, + { + "epoch": 0.72, + "learning_rate": 3.718586192265473e-05, + "loss": 0.7804, + "step": 3767 + }, + { + "epoch": 0.72, + "learning_rate": 3.7137391953038514e-05, + "loss": 0.8235, + "step": 3768 + }, + { + "epoch": 0.73, + "learning_rate": 3.708894638885122e-05, + "loss": 0.8362, + "step": 3769 + }, + { + "epoch": 0.73, + "learning_rate": 3.7040525248901005e-05, + "loss": 0.3303, + "step": 3770 + }, + { + "epoch": 0.73, + "learning_rate": 3.6992128551986616e-05, + "loss": 0.7864, + "step": 3771 + }, + { + "epoch": 0.73, + "learning_rate": 3.6943756316897404e-05, + "loss": 0.7798, + "step": 3772 + }, + { + "epoch": 0.73, + "learning_rate": 3.6895408562413025e-05, + "loss": 0.7625, + "step": 3773 + }, + { + "epoch": 0.73, + "learning_rate": 3.684708530730382e-05, + "loss": 0.7681, + "step": 3774 + }, + { + "epoch": 0.73, + "learning_rate": 3.6798786570330525e-05, + "loss": 0.7933, + "step": 3775 + }, + { + "epoch": 0.73, + "learning_rate": 3.675051237024436e-05, + "loss": 0.7412, + "step": 3776 + }, + { + "epoch": 0.73, + "learning_rate": 3.670226272578704e-05, + "loss": 0.7869, + "step": 3777 + }, + { + "epoch": 0.73, + "learning_rate": 3.665403765569073e-05, + "loss": 0.8413, + "step": 3778 + }, + { + "epoch": 0.73, + "learning_rate": 3.660583717867807e-05, + "loss": 0.8447, + "step": 3779 + }, + { + "epoch": 0.73, + "learning_rate": 3.655766131346211e-05, + "loss": 0.7822, + "step": 3780 + }, + { + "epoch": 0.73, + "learning_rate": 3.650951007874648e-05, + "loss": 0.8062, + "step": 3781 + }, + { + "epoch": 0.73, + "learning_rate": 3.646138349322501e-05, + "loss": 0.7612, + "step": 3782 + }, + { + "epoch": 0.73, + "learning_rate": 3.641328157558219e-05, + "loss": 0.8435, + "step": 3783 + }, + { + "epoch": 0.73, + "learning_rate": 3.6365204344492867e-05, + "loss": 0.7539, + "step": 3784 + }, + { + "epoch": 0.73, + "learning_rate": 3.631715181862215e-05, + "loss": 0.809, + "step": 3785 + }, + { + "epoch": 0.73, + "learning_rate": 3.62691240166258e-05, + "loss": 0.7959, + "step": 3786 + }, + { + "epoch": 0.73, + "learning_rate": 3.6221120957149825e-05, + "loss": 0.7864, + "step": 3787 + }, + { + "epoch": 0.73, + "learning_rate": 3.617314265883066e-05, + "loss": 0.8665, + "step": 3788 + }, + { + "epoch": 0.73, + "learning_rate": 3.6125189140295145e-05, + "loss": 0.7888, + "step": 3789 + }, + { + "epoch": 0.73, + "learning_rate": 3.607726042016049e-05, + "loss": 0.8225, + "step": 3790 + }, + { + "epoch": 0.73, + "learning_rate": 3.602935651703424e-05, + "loss": 0.863, + "step": 3791 + }, + { + "epoch": 0.73, + "learning_rate": 3.598147744951438e-05, + "loss": 0.7775, + "step": 3792 + }, + { + "epoch": 0.73, + "learning_rate": 3.5933623236189195e-05, + "loss": 0.7878, + "step": 3793 + }, + { + "epoch": 0.73, + "learning_rate": 3.58857938956373e-05, + "loss": 0.7419, + "step": 3794 + }, + { + "epoch": 0.73, + "learning_rate": 3.58379894464278e-05, + "loss": 0.8379, + "step": 3795 + }, + { + "epoch": 0.73, + "learning_rate": 3.57902099071199e-05, + "loss": 0.8293, + "step": 3796 + }, + { + "epoch": 0.73, + "learning_rate": 3.574245529626334e-05, + "loss": 0.7756, + "step": 3797 + }, + { + "epoch": 0.73, + "learning_rate": 3.569472563239814e-05, + "loss": 0.7899, + "step": 3798 + }, + { + "epoch": 0.73, + "learning_rate": 3.5647020934054464e-05, + "loss": 0.7639, + "step": 3799 + }, + { + "epoch": 0.73, + "learning_rate": 3.559934121975304e-05, + "loss": 0.8069, + "step": 3800 + }, + { + "epoch": 0.73, + "learning_rate": 3.555168650800473e-05, + "loss": 0.8169, + "step": 3801 + }, + { + "epoch": 0.73, + "learning_rate": 3.5504056817310735e-05, + "loss": 0.8186, + "step": 3802 + }, + { + "epoch": 0.73, + "learning_rate": 3.5456452166162545e-05, + "loss": 0.8577, + "step": 3803 + }, + { + "epoch": 0.73, + "learning_rate": 3.540887257304193e-05, + "loss": 0.7952, + "step": 3804 + }, + { + "epoch": 0.73, + "learning_rate": 3.5361318056420925e-05, + "loss": 0.8264, + "step": 3805 + }, + { + "epoch": 0.73, + "learning_rate": 3.531378863476178e-05, + "loss": 0.7561, + "step": 3806 + }, + { + "epoch": 0.73, + "learning_rate": 3.526628432651716e-05, + "loss": 0.7186, + "step": 3807 + }, + { + "epoch": 0.73, + "learning_rate": 3.5218805150129755e-05, + "loss": 0.7703, + "step": 3808 + }, + { + "epoch": 0.73, + "learning_rate": 3.51713511240327e-05, + "loss": 0.7865, + "step": 3809 + }, + { + "epoch": 0.73, + "learning_rate": 3.5123922266649303e-05, + "loss": 0.3479, + "step": 3810 + }, + { + "epoch": 0.73, + "learning_rate": 3.507651859639295e-05, + "loss": 0.7542, + "step": 3811 + }, + { + "epoch": 0.73, + "learning_rate": 3.502914013166749e-05, + "loss": 0.7957, + "step": 3812 + }, + { + "epoch": 0.73, + "learning_rate": 3.4981786890866854e-05, + "loss": 0.7944, + "step": 3813 + }, + { + "epoch": 0.73, + "learning_rate": 3.493445889237518e-05, + "loss": 0.7998, + "step": 3814 + }, + { + "epoch": 0.73, + "learning_rate": 3.488715615456685e-05, + "loss": 0.3229, + "step": 3815 + }, + { + "epoch": 0.73, + "learning_rate": 3.483987869580638e-05, + "loss": 0.7241, + "step": 3816 + }, + { + "epoch": 0.73, + "learning_rate": 3.4792626534448544e-05, + "loss": 0.7753, + "step": 3817 + }, + { + "epoch": 0.73, + "learning_rate": 3.474539968883824e-05, + "loss": 0.7622, + "step": 3818 + }, + { + "epoch": 0.73, + "learning_rate": 3.469819817731056e-05, + "loss": 0.7881, + "step": 3819 + }, + { + "epoch": 0.73, + "learning_rate": 3.4651022018190715e-05, + "loss": 0.8186, + "step": 3820 + }, + { + "epoch": 0.74, + "learning_rate": 3.460387122979423e-05, + "loss": 0.3469, + "step": 3821 + }, + { + "epoch": 0.74, + "learning_rate": 3.455674583042652e-05, + "loss": 0.7561, + "step": 3822 + }, + { + "epoch": 0.74, + "learning_rate": 3.450964583838339e-05, + "loss": 0.3403, + "step": 3823 + }, + { + "epoch": 0.74, + "learning_rate": 3.446257127195067e-05, + "loss": 0.7275, + "step": 3824 + }, + { + "epoch": 0.74, + "learning_rate": 3.4415522149404235e-05, + "loss": 0.7017, + "step": 3825 + }, + { + "epoch": 0.74, + "learning_rate": 3.4368498489010283e-05, + "loss": 0.7632, + "step": 3826 + }, + { + "epoch": 0.74, + "learning_rate": 3.432150030902497e-05, + "loss": 0.8445, + "step": 3827 + }, + { + "epoch": 0.74, + "learning_rate": 3.427452762769462e-05, + "loss": 0.7966, + "step": 3828 + }, + { + "epoch": 0.74, + "learning_rate": 3.422758046325562e-05, + "loss": 0.8223, + "step": 3829 + }, + { + "epoch": 0.74, + "learning_rate": 3.418065883393452e-05, + "loss": 0.7671, + "step": 3830 + }, + { + "epoch": 0.74, + "learning_rate": 3.4133762757947874e-05, + "loss": 0.7549, + "step": 3831 + }, + { + "epoch": 0.74, + "learning_rate": 3.408689225350234e-05, + "loss": 0.8218, + "step": 3832 + }, + { + "epoch": 0.74, + "learning_rate": 3.4040047338794756e-05, + "loss": 0.8011, + "step": 3833 + }, + { + "epoch": 0.74, + "learning_rate": 3.399322803201178e-05, + "loss": 0.8369, + "step": 3834 + }, + { + "epoch": 0.74, + "learning_rate": 3.394643435133041e-05, + "loss": 0.8064, + "step": 3835 + }, + { + "epoch": 0.74, + "learning_rate": 3.389966631491751e-05, + "loss": 0.7979, + "step": 3836 + }, + { + "epoch": 0.74, + "learning_rate": 3.385292394093006e-05, + "loss": 0.8479, + "step": 3837 + }, + { + "epoch": 0.74, + "learning_rate": 3.380620724751506e-05, + "loss": 0.801, + "step": 3838 + }, + { + "epoch": 0.74, + "learning_rate": 3.3759516252809477e-05, + "loss": 0.7764, + "step": 3839 + }, + { + "epoch": 0.74, + "learning_rate": 3.3712850974940435e-05, + "loss": 0.7949, + "step": 3840 + }, + { + "epoch": 0.74, + "learning_rate": 3.366621143202498e-05, + "loss": 0.7239, + "step": 3841 + }, + { + "epoch": 0.74, + "learning_rate": 3.361959764217017e-05, + "loss": 0.7479, + "step": 3842 + }, + { + "epoch": 0.74, + "learning_rate": 3.3573009623473126e-05, + "loss": 0.7849, + "step": 3843 + }, + { + "epoch": 0.74, + "learning_rate": 3.352644739402089e-05, + "loss": 0.7152, + "step": 3844 + }, + { + "epoch": 0.74, + "learning_rate": 3.3479910971890515e-05, + "loss": 0.7844, + "step": 3845 + }, + { + "epoch": 0.74, + "learning_rate": 3.3433400375149026e-05, + "loss": 0.8616, + "step": 3846 + }, + { + "epoch": 0.74, + "learning_rate": 3.338691562185353e-05, + "loss": 0.7787, + "step": 3847 + }, + { + "epoch": 0.74, + "learning_rate": 3.3340456730050884e-05, + "loss": 0.7495, + "step": 3848 + }, + { + "epoch": 0.74, + "learning_rate": 3.3294023717778125e-05, + "loss": 0.7976, + "step": 3849 + }, + { + "epoch": 0.74, + "learning_rate": 3.324761660306215e-05, + "loss": 0.8191, + "step": 3850 + }, + { + "epoch": 0.74, + "learning_rate": 3.320123540391968e-05, + "loss": 0.7802, + "step": 3851 + }, + { + "epoch": 0.74, + "learning_rate": 3.315488013835762e-05, + "loss": 0.7584, + "step": 3852 + }, + { + "epoch": 0.74, + "learning_rate": 3.310855082437263e-05, + "loss": 0.8386, + "step": 3853 + }, + { + "epoch": 0.74, + "learning_rate": 3.306224747995136e-05, + "loss": 0.8191, + "step": 3854 + }, + { + "epoch": 0.74, + "learning_rate": 3.301597012307034e-05, + "loss": 0.823, + "step": 3855 + }, + { + "epoch": 0.74, + "learning_rate": 3.296971877169605e-05, + "loss": 0.7522, + "step": 3856 + }, + { + "epoch": 0.74, + "learning_rate": 3.292349344378486e-05, + "loss": 0.8303, + "step": 3857 + }, + { + "epoch": 0.74, + "learning_rate": 3.287729415728298e-05, + "loss": 0.8181, + "step": 3858 + }, + { + "epoch": 0.74, + "learning_rate": 3.283112093012669e-05, + "loss": 0.7727, + "step": 3859 + }, + { + "epoch": 0.74, + "learning_rate": 3.278497378024187e-05, + "loss": 0.8088, + "step": 3860 + }, + { + "epoch": 0.74, + "learning_rate": 3.2738852725544544e-05, + "loss": 0.7822, + "step": 3861 + }, + { + "epoch": 0.74, + "learning_rate": 3.269275778394047e-05, + "loss": 0.8035, + "step": 3862 + }, + { + "epoch": 0.74, + "learning_rate": 3.264668897332527e-05, + "loss": 0.7737, + "step": 3863 + }, + { + "epoch": 0.74, + "learning_rate": 3.260064631158449e-05, + "loss": 0.7671, + "step": 3864 + }, + { + "epoch": 0.74, + "learning_rate": 3.2554629816593376e-05, + "loss": 0.7469, + "step": 3865 + }, + { + "epoch": 0.74, + "learning_rate": 3.250863950621721e-05, + "loss": 0.7948, + "step": 3866 + }, + { + "epoch": 0.74, + "learning_rate": 3.2462675398310984e-05, + "loss": 0.7432, + "step": 3867 + }, + { + "epoch": 0.74, + "learning_rate": 3.2416737510719544e-05, + "loss": 0.782, + "step": 3868 + }, + { + "epoch": 0.74, + "learning_rate": 3.237082586127757e-05, + "loss": 0.761, + "step": 3869 + }, + { + "epoch": 0.74, + "learning_rate": 3.232494046780953e-05, + "loss": 0.8191, + "step": 3870 + }, + { + "epoch": 0.74, + "learning_rate": 3.227908134812972e-05, + "loss": 0.7759, + "step": 3871 + }, + { + "epoch": 0.74, + "learning_rate": 3.223324852004219e-05, + "loss": 0.7373, + "step": 3872 + }, + { + "epoch": 0.75, + "learning_rate": 3.218744200134094e-05, + "loss": 0.8196, + "step": 3873 + }, + { + "epoch": 0.75, + "learning_rate": 3.21416618098095e-05, + "loss": 0.769, + "step": 3874 + }, + { + "epoch": 0.75, + "learning_rate": 3.2095907963221396e-05, + "loss": 0.791, + "step": 3875 + }, + { + "epoch": 0.75, + "learning_rate": 3.205018047933987e-05, + "loss": 0.3274, + "step": 3876 + }, + { + "epoch": 0.75, + "learning_rate": 3.200447937591779e-05, + "loss": 0.7615, + "step": 3877 + }, + { + "epoch": 0.75, + "learning_rate": 3.195880467069801e-05, + "loss": 0.7787, + "step": 3878 + }, + { + "epoch": 0.75, + "learning_rate": 3.191315638141297e-05, + "loss": 0.3394, + "step": 3879 + }, + { + "epoch": 0.75, + "learning_rate": 3.1867534525784934e-05, + "loss": 0.7842, + "step": 3880 + }, + { + "epoch": 0.75, + "learning_rate": 3.182193912152586e-05, + "loss": 0.3347, + "step": 3881 + }, + { + "epoch": 0.75, + "learning_rate": 3.177637018633746e-05, + "loss": 0.7915, + "step": 3882 + }, + { + "epoch": 0.75, + "learning_rate": 3.173082773791116e-05, + "loss": 0.8684, + "step": 3883 + }, + { + "epoch": 0.75, + "learning_rate": 3.168531179392808e-05, + "loss": 0.7976, + "step": 3884 + }, + { + "epoch": 0.75, + "learning_rate": 3.163982237205917e-05, + "loss": 0.7598, + "step": 3885 + }, + { + "epoch": 0.75, + "learning_rate": 3.159435948996485e-05, + "loss": 0.8118, + "step": 3886 + }, + { + "epoch": 0.75, + "learning_rate": 3.154892316529549e-05, + "loss": 0.7734, + "step": 3887 + }, + { + "epoch": 0.75, + "learning_rate": 3.150351341569101e-05, + "loss": 0.7681, + "step": 3888 + }, + { + "epoch": 0.75, + "learning_rate": 3.1458130258781005e-05, + "loss": 0.3416, + "step": 3889 + }, + { + "epoch": 0.75, + "learning_rate": 3.141277371218484e-05, + "loss": 0.8271, + "step": 3890 + }, + { + "epoch": 0.75, + "learning_rate": 3.1367443793511386e-05, + "loss": 0.8108, + "step": 3891 + }, + { + "epoch": 0.75, + "learning_rate": 3.132214052035937e-05, + "loss": 0.348, + "step": 3892 + }, + { + "epoch": 0.75, + "learning_rate": 3.127686391031705e-05, + "loss": 0.7533, + "step": 3893 + }, + { + "epoch": 0.75, + "learning_rate": 3.123161398096237e-05, + "loss": 0.8197, + "step": 3894 + }, + { + "epoch": 0.75, + "learning_rate": 3.11863907498629e-05, + "loss": 0.8035, + "step": 3895 + }, + { + "epoch": 0.75, + "learning_rate": 3.114119423457588e-05, + "loss": 0.7976, + "step": 3896 + }, + { + "epoch": 0.75, + "learning_rate": 3.109602445264812e-05, + "loss": 0.7515, + "step": 3897 + }, + { + "epoch": 0.75, + "learning_rate": 3.1050881421616076e-05, + "loss": 0.8569, + "step": 3898 + }, + { + "epoch": 0.75, + "learning_rate": 3.1005765159005904e-05, + "loss": 0.7942, + "step": 3899 + }, + { + "epoch": 0.75, + "learning_rate": 3.0960675682333186e-05, + "loss": 0.8035, + "step": 3900 + }, + { + "epoch": 0.75, + "learning_rate": 3.0915613009103295e-05, + "loss": 0.7701, + "step": 3901 + }, + { + "epoch": 0.75, + "learning_rate": 3.087057715681107e-05, + "loss": 0.7903, + "step": 3902 + }, + { + "epoch": 0.75, + "learning_rate": 3.0825568142940995e-05, + "loss": 0.7639, + "step": 3903 + }, + { + "epoch": 0.75, + "learning_rate": 3.078058598496711e-05, + "loss": 0.7491, + "step": 3904 + }, + { + "epoch": 0.75, + "learning_rate": 3.0735630700353044e-05, + "loss": 0.7798, + "step": 3905 + }, + { + "epoch": 0.75, + "learning_rate": 3.069070230655198e-05, + "loss": 0.7659, + "step": 3906 + }, + { + "epoch": 0.75, + "learning_rate": 3.0645800821006665e-05, + "loss": 0.7326, + "step": 3907 + }, + { + "epoch": 0.75, + "learning_rate": 3.060092626114941e-05, + "loss": 0.7275, + "step": 3908 + }, + { + "epoch": 0.75, + "learning_rate": 3.055607864440206e-05, + "loss": 0.7772, + "step": 3909 + }, + { + "epoch": 0.75, + "learning_rate": 3.0511257988175978e-05, + "loss": 0.7869, + "step": 3910 + }, + { + "epoch": 0.75, + "learning_rate": 3.0466464309872166e-05, + "loss": 0.8169, + "step": 3911 + }, + { + "epoch": 0.75, + "learning_rate": 3.0421697626880962e-05, + "loss": 0.7957, + "step": 3912 + }, + { + "epoch": 0.75, + "learning_rate": 3.0376957956582452e-05, + "loss": 0.7606, + "step": 3913 + }, + { + "epoch": 0.75, + "learning_rate": 3.0332245316345996e-05, + "loss": 0.3403, + "step": 3914 + }, + { + "epoch": 0.75, + "learning_rate": 3.0287559723530667e-05, + "loss": 0.7551, + "step": 3915 + }, + { + "epoch": 0.75, + "learning_rate": 3.0242901195484953e-05, + "loss": 0.8462, + "step": 3916 + }, + { + "epoch": 0.75, + "learning_rate": 3.0198269749546737e-05, + "loss": 0.7445, + "step": 3917 + }, + { + "epoch": 0.75, + "learning_rate": 3.0153665403043586e-05, + "loss": 0.7617, + "step": 3918 + }, + { + "epoch": 0.75, + "learning_rate": 3.01090881732924e-05, + "loss": 0.7777, + "step": 3919 + }, + { + "epoch": 0.75, + "learning_rate": 3.0064538077599603e-05, + "loss": 0.7858, + "step": 3920 + }, + { + "epoch": 0.75, + "learning_rate": 3.002001513326107e-05, + "loss": 0.8179, + "step": 3921 + }, + { + "epoch": 0.75, + "learning_rate": 2.9975519357562155e-05, + "loss": 0.7974, + "step": 3922 + }, + { + "epoch": 0.75, + "learning_rate": 2.9931050767777625e-05, + "loss": 0.8516, + "step": 3923 + }, + { + "epoch": 0.75, + "learning_rate": 2.9886609381171705e-05, + "loss": 0.8196, + "step": 3924 + }, + { + "epoch": 0.76, + "learning_rate": 2.9842195214998158e-05, + "loss": 0.8027, + "step": 3925 + }, + { + "epoch": 0.76, + "learning_rate": 2.9797808286499973e-05, + "loss": 0.7878, + "step": 3926 + }, + { + "epoch": 0.76, + "learning_rate": 2.9753448612909775e-05, + "loss": 0.8348, + "step": 3927 + }, + { + "epoch": 0.76, + "learning_rate": 2.9709116211449483e-05, + "loss": 0.7346, + "step": 3928 + }, + { + "epoch": 0.76, + "learning_rate": 2.966481109933047e-05, + "loss": 0.7551, + "step": 3929 + }, + { + "epoch": 0.76, + "learning_rate": 2.9620533293753495e-05, + "loss": 0.7607, + "step": 3930 + }, + { + "epoch": 0.76, + "learning_rate": 2.9576282811908728e-05, + "loss": 0.8269, + "step": 3931 + }, + { + "epoch": 0.76, + "learning_rate": 2.9532059670975732e-05, + "loss": 0.7668, + "step": 3932 + }, + { + "epoch": 0.76, + "learning_rate": 2.9487863888123456e-05, + "loss": 0.7986, + "step": 3933 + }, + { + "epoch": 0.76, + "learning_rate": 2.9443695480510224e-05, + "loss": 0.7579, + "step": 3934 + }, + { + "epoch": 0.76, + "learning_rate": 2.939955446528374e-05, + "loss": 0.7993, + "step": 3935 + }, + { + "epoch": 0.76, + "learning_rate": 2.9355440859581018e-05, + "loss": 0.739, + "step": 3936 + }, + { + "epoch": 0.76, + "learning_rate": 2.931135468052858e-05, + "loss": 0.7646, + "step": 3937 + }, + { + "epoch": 0.76, + "learning_rate": 2.9267295945242067e-05, + "loss": 0.3557, + "step": 3938 + }, + { + "epoch": 0.76, + "learning_rate": 2.9223264670826743e-05, + "loss": 0.775, + "step": 3939 + }, + { + "epoch": 0.76, + "learning_rate": 2.9179260874376913e-05, + "loss": 0.8459, + "step": 3940 + }, + { + "epoch": 0.76, + "learning_rate": 2.9135284572976486e-05, + "loss": 0.8051, + "step": 3941 + }, + { + "epoch": 0.76, + "learning_rate": 2.9091335783698515e-05, + "loss": 0.7463, + "step": 3942 + }, + { + "epoch": 0.76, + "learning_rate": 2.9047414523605465e-05, + "loss": 0.3217, + "step": 3943 + }, + { + "epoch": 0.76, + "learning_rate": 2.9003520809749053e-05, + "loss": 0.822, + "step": 3944 + }, + { + "epoch": 0.76, + "learning_rate": 2.8959654659170354e-05, + "loss": 0.8132, + "step": 3945 + }, + { + "epoch": 0.76, + "learning_rate": 2.8915816088899695e-05, + "loss": 0.7988, + "step": 3946 + }, + { + "epoch": 0.76, + "learning_rate": 2.8872005115956745e-05, + "loss": 0.7576, + "step": 3947 + }, + { + "epoch": 0.76, + "learning_rate": 2.8828221757350404e-05, + "loss": 0.792, + "step": 3948 + }, + { + "epoch": 0.76, + "learning_rate": 2.8784466030078905e-05, + "loss": 0.8174, + "step": 3949 + }, + { + "epoch": 0.76, + "learning_rate": 2.874073795112967e-05, + "loss": 0.7681, + "step": 3950 + }, + { + "epoch": 0.76, + "learning_rate": 2.8697037537479564e-05, + "loss": 0.8041, + "step": 3951 + }, + { + "epoch": 0.76, + "learning_rate": 2.8653364806094453e-05, + "loss": 0.8125, + "step": 3952 + }, + { + "epoch": 0.76, + "learning_rate": 2.86097197739297e-05, + "loss": 0.3467, + "step": 3953 + }, + { + "epoch": 0.76, + "learning_rate": 2.8566102457929755e-05, + "loss": 0.7778, + "step": 3954 + }, + { + "epoch": 0.76, + "learning_rate": 2.8522512875028395e-05, + "loss": 0.7449, + "step": 3955 + }, + { + "epoch": 0.76, + "learning_rate": 2.847895104214856e-05, + "loss": 0.8357, + "step": 3956 + }, + { + "epoch": 0.76, + "learning_rate": 2.843541697620249e-05, + "loss": 0.8237, + "step": 3957 + }, + { + "epoch": 0.76, + "learning_rate": 2.8391910694091583e-05, + "loss": 0.7964, + "step": 3958 + }, + { + "epoch": 0.76, + "learning_rate": 2.8348432212706445e-05, + "loss": 0.8267, + "step": 3959 + }, + { + "epoch": 0.76, + "learning_rate": 2.8304981548927022e-05, + "loss": 0.7927, + "step": 3960 + }, + { + "epoch": 0.76, + "learning_rate": 2.826155871962227e-05, + "loss": 0.262, + "step": 3961 + }, + { + "epoch": 0.76, + "learning_rate": 2.8218163741650416e-05, + "loss": 0.8208, + "step": 3962 + }, + { + "epoch": 0.76, + "learning_rate": 2.8174796631858978e-05, + "loss": 0.8213, + "step": 3963 + }, + { + "epoch": 0.76, + "learning_rate": 2.813145740708445e-05, + "loss": 0.8127, + "step": 3964 + }, + { + "epoch": 0.76, + "learning_rate": 2.8088146084152712e-05, + "loss": 0.7351, + "step": 3965 + }, + { + "epoch": 0.76, + "learning_rate": 2.8044862679878604e-05, + "loss": 0.8403, + "step": 3966 + }, + { + "epoch": 0.76, + "learning_rate": 2.800160721106633e-05, + "loss": 0.7375, + "step": 3967 + }, + { + "epoch": 0.76, + "learning_rate": 2.7958379694509106e-05, + "loss": 0.7988, + "step": 3968 + }, + { + "epoch": 0.76, + "learning_rate": 2.791518014698935e-05, + "loss": 0.7728, + "step": 3969 + }, + { + "epoch": 0.76, + "learning_rate": 2.787200858527862e-05, + "loss": 0.7478, + "step": 3970 + }, + { + "epoch": 0.76, + "learning_rate": 2.7828865026137585e-05, + "loss": 0.8306, + "step": 3971 + }, + { + "epoch": 0.76, + "learning_rate": 2.778574948631608e-05, + "loss": 0.8174, + "step": 3972 + }, + { + "epoch": 0.76, + "learning_rate": 2.774266198255303e-05, + "loss": 0.7712, + "step": 3973 + }, + { + "epoch": 0.76, + "learning_rate": 2.7699602531576496e-05, + "loss": 0.7827, + "step": 3974 + }, + { + "epoch": 0.76, + "learning_rate": 2.765657115010364e-05, + "loss": 0.8164, + "step": 3975 + }, + { + "epoch": 0.76, + "learning_rate": 2.7613567854840683e-05, + "loss": 0.8477, + "step": 3976 + }, + { + "epoch": 0.77, + "learning_rate": 2.7570592662483087e-05, + "loss": 0.8174, + "step": 3977 + }, + { + "epoch": 0.77, + "learning_rate": 2.7527645589715167e-05, + "loss": 0.792, + "step": 3978 + }, + { + "epoch": 0.77, + "learning_rate": 2.7484726653210558e-05, + "loss": 0.7583, + "step": 3979 + }, + { + "epoch": 0.77, + "learning_rate": 2.744183586963185e-05, + "loss": 0.8245, + "step": 3980 + }, + { + "epoch": 0.77, + "learning_rate": 2.739897325563069e-05, + "loss": 0.8235, + "step": 3981 + }, + { + "epoch": 0.77, + "learning_rate": 2.7356138827847855e-05, + "loss": 0.8108, + "step": 3982 + }, + { + "epoch": 0.77, + "learning_rate": 2.731333260291311e-05, + "loss": 0.7365, + "step": 3983 + }, + { + "epoch": 0.77, + "learning_rate": 2.7270554597445342e-05, + "loss": 0.7795, + "step": 3984 + }, + { + "epoch": 0.77, + "learning_rate": 2.7227804828052384e-05, + "loss": 0.3428, + "step": 3985 + }, + { + "epoch": 0.77, + "learning_rate": 2.718508331133128e-05, + "loss": 0.7889, + "step": 3986 + }, + { + "epoch": 0.77, + "learning_rate": 2.7142390063867896e-05, + "loss": 0.7965, + "step": 3987 + }, + { + "epoch": 0.77, + "learning_rate": 2.709972510223725e-05, + "loss": 0.7521, + "step": 3988 + }, + { + "epoch": 0.77, + "learning_rate": 2.7057088443003343e-05, + "loss": 0.7317, + "step": 3989 + }, + { + "epoch": 0.77, + "learning_rate": 2.7014480102719176e-05, + "loss": 0.7311, + "step": 3990 + }, + { + "epoch": 0.77, + "learning_rate": 2.697190009792685e-05, + "loss": 0.8467, + "step": 3991 + }, + { + "epoch": 0.77, + "learning_rate": 2.692934844515729e-05, + "loss": 0.73, + "step": 3992 + }, + { + "epoch": 0.77, + "learning_rate": 2.6886825160930585e-05, + "loss": 0.8274, + "step": 3993 + }, + { + "epoch": 0.77, + "learning_rate": 2.6844330261755714e-05, + "loss": 0.7837, + "step": 3994 + }, + { + "epoch": 0.77, + "learning_rate": 2.6801863764130652e-05, + "loss": 0.7654, + "step": 3995 + }, + { + "epoch": 0.77, + "learning_rate": 2.675942568454236e-05, + "loss": 0.7695, + "step": 3996 + }, + { + "epoch": 0.77, + "learning_rate": 2.671701603946678e-05, + "loss": 0.7981, + "step": 3997 + }, + { + "epoch": 0.77, + "learning_rate": 2.667463484536876e-05, + "loss": 0.7938, + "step": 3998 + }, + { + "epoch": 0.77, + "learning_rate": 2.6632282118702147e-05, + "loss": 0.8099, + "step": 3999 + }, + { + "epoch": 0.77, + "learning_rate": 2.6589957875909798e-05, + "loss": 0.7422, + "step": 4000 + }, + { + "epoch": 0.77, + "learning_rate": 2.6547662133423345e-05, + "loss": 0.7444, + "step": 4001 + }, + { + "epoch": 0.77, + "learning_rate": 2.650539490766346e-05, + "loss": 0.7493, + "step": 4002 + }, + { + "epoch": 0.77, + "learning_rate": 2.646315621503983e-05, + "loss": 0.7522, + "step": 4003 + }, + { + "epoch": 0.77, + "learning_rate": 2.6420946071950847e-05, + "loss": 0.7585, + "step": 4004 + }, + { + "epoch": 0.77, + "learning_rate": 2.6378764494784024e-05, + "loss": 0.7894, + "step": 4005 + }, + { + "epoch": 0.77, + "learning_rate": 2.6336611499915686e-05, + "loss": 0.7874, + "step": 4006 + }, + { + "epoch": 0.77, + "learning_rate": 2.6294487103711065e-05, + "loss": 0.7877, + "step": 4007 + }, + { + "epoch": 0.77, + "learning_rate": 2.6252391322524293e-05, + "loss": 0.8115, + "step": 4008 + }, + { + "epoch": 0.77, + "learning_rate": 2.621032417269843e-05, + "loss": 0.8267, + "step": 4009 + }, + { + "epoch": 0.77, + "learning_rate": 2.6168285670565373e-05, + "loss": 0.7656, + "step": 4010 + }, + { + "epoch": 0.77, + "learning_rate": 2.612627583244589e-05, + "loss": 0.8042, + "step": 4011 + }, + { + "epoch": 0.77, + "learning_rate": 2.6084294674649735e-05, + "loss": 0.7045, + "step": 4012 + }, + { + "epoch": 0.77, + "learning_rate": 2.6042342213475347e-05, + "loss": 0.8347, + "step": 4013 + }, + { + "epoch": 0.77, + "learning_rate": 2.600041846521014e-05, + "loss": 0.7849, + "step": 4014 + }, + { + "epoch": 0.77, + "learning_rate": 2.5958523446130378e-05, + "loss": 0.8137, + "step": 4015 + }, + { + "epoch": 0.77, + "learning_rate": 2.5916657172501103e-05, + "loss": 0.8064, + "step": 4016 + }, + { + "epoch": 0.77, + "learning_rate": 2.5874819660576334e-05, + "loss": 0.7654, + "step": 4017 + }, + { + "epoch": 0.77, + "learning_rate": 2.5833010926598722e-05, + "loss": 0.751, + "step": 4018 + }, + { + "epoch": 0.77, + "learning_rate": 2.579123098679994e-05, + "loss": 0.7878, + "step": 4019 + }, + { + "epoch": 0.77, + "learning_rate": 2.5749479857400384e-05, + "loss": 0.8181, + "step": 4020 + }, + { + "epoch": 0.77, + "learning_rate": 2.5707757554609246e-05, + "loss": 0.8074, + "step": 4021 + }, + { + "epoch": 0.77, + "learning_rate": 2.5666064094624598e-05, + "loss": 0.8281, + "step": 4022 + }, + { + "epoch": 0.77, + "learning_rate": 2.5624399493633257e-05, + "loss": 0.7969, + "step": 4023 + }, + { + "epoch": 0.77, + "learning_rate": 2.5582763767810857e-05, + "loss": 0.8372, + "step": 4024 + }, + { + "epoch": 0.77, + "learning_rate": 2.5541156933321798e-05, + "loss": 0.7705, + "step": 4025 + }, + { + "epoch": 0.77, + "learning_rate": 2.5499579006319362e-05, + "loss": 0.8008, + "step": 4026 + }, + { + "epoch": 0.77, + "learning_rate": 2.5458030002945453e-05, + "loss": 0.8333, + "step": 4027 + }, + { + "epoch": 0.77, + "learning_rate": 2.5416509939330835e-05, + "loss": 0.803, + "step": 4028 + }, + { + "epoch": 0.78, + "learning_rate": 2.5375018831595087e-05, + "loss": 0.3419, + "step": 4029 + }, + { + "epoch": 0.78, + "learning_rate": 2.5333556695846383e-05, + "loss": 0.8081, + "step": 4030 + }, + { + "epoch": 0.78, + "learning_rate": 2.5292123548181845e-05, + "loss": 0.7728, + "step": 4031 + }, + { + "epoch": 0.78, + "learning_rate": 2.5250719404687216e-05, + "loss": 0.7682, + "step": 4032 + }, + { + "epoch": 0.78, + "learning_rate": 2.520934428143701e-05, + "loss": 0.7947, + "step": 4033 + }, + { + "epoch": 0.78, + "learning_rate": 2.516799819449447e-05, + "loss": 0.3488, + "step": 4034 + }, + { + "epoch": 0.78, + "learning_rate": 2.512668115991156e-05, + "loss": 0.7654, + "step": 4035 + }, + { + "epoch": 0.78, + "learning_rate": 2.5085393193729e-05, + "loss": 0.7869, + "step": 4036 + }, + { + "epoch": 0.78, + "learning_rate": 2.5044134311976152e-05, + "loss": 0.8323, + "step": 4037 + }, + { + "epoch": 0.78, + "learning_rate": 2.5002904530671236e-05, + "loss": 0.7495, + "step": 4038 + }, + { + "epoch": 0.78, + "learning_rate": 2.4961703865820975e-05, + "loss": 0.8212, + "step": 4039 + }, + { + "epoch": 0.78, + "learning_rate": 2.492053233342091e-05, + "loss": 0.7988, + "step": 4040 + }, + { + "epoch": 0.78, + "learning_rate": 2.4879389949455268e-05, + "loss": 0.7996, + "step": 4041 + }, + { + "epoch": 0.78, + "learning_rate": 2.483827672989688e-05, + "loss": 0.7598, + "step": 4042 + }, + { + "epoch": 0.78, + "learning_rate": 2.4797192690707428e-05, + "loss": 0.3484, + "step": 4043 + }, + { + "epoch": 0.78, + "learning_rate": 2.4756137847837025e-05, + "loss": 0.7678, + "step": 4044 + }, + { + "epoch": 0.78, + "learning_rate": 2.4715112217224655e-05, + "loss": 0.7524, + "step": 4045 + }, + { + "epoch": 0.78, + "learning_rate": 2.467411581479786e-05, + "loss": 0.8474, + "step": 4046 + }, + { + "epoch": 0.78, + "learning_rate": 2.463314865647286e-05, + "loss": 0.7673, + "step": 4047 + }, + { + "epoch": 0.78, + "learning_rate": 2.45922107581545e-05, + "loss": 0.8052, + "step": 4048 + }, + { + "epoch": 0.78, + "learning_rate": 2.4551302135736286e-05, + "loss": 0.8047, + "step": 4049 + }, + { + "epoch": 0.78, + "learning_rate": 2.4510422805100363e-05, + "loss": 0.7647, + "step": 4050 + }, + { + "epoch": 0.78, + "learning_rate": 2.4469572782117457e-05, + "loss": 0.7866, + "step": 4051 + }, + { + "epoch": 0.78, + "learning_rate": 2.4428752082647045e-05, + "loss": 0.7471, + "step": 4052 + }, + { + "epoch": 0.78, + "learning_rate": 2.438796072253704e-05, + "loss": 0.7214, + "step": 4053 + }, + { + "epoch": 0.78, + "learning_rate": 2.4347198717624054e-05, + "loss": 0.7659, + "step": 4054 + }, + { + "epoch": 0.78, + "learning_rate": 2.4306466083733393e-05, + "loss": 0.8052, + "step": 4055 + }, + { + "epoch": 0.78, + "learning_rate": 2.426576283667873e-05, + "loss": 0.7424, + "step": 4056 + }, + { + "epoch": 0.78, + "learning_rate": 2.422508899226258e-05, + "loss": 0.8096, + "step": 4057 + }, + { + "epoch": 0.78, + "learning_rate": 2.4184444566275886e-05, + "loss": 0.8286, + "step": 4058 + }, + { + "epoch": 0.78, + "learning_rate": 2.4143829574498223e-05, + "loss": 0.7756, + "step": 4059 + }, + { + "epoch": 0.78, + "learning_rate": 2.4103244032697715e-05, + "loss": 0.3234, + "step": 4060 + }, + { + "epoch": 0.78, + "learning_rate": 2.406268795663108e-05, + "loss": 0.781, + "step": 4061 + }, + { + "epoch": 0.78, + "learning_rate": 2.402216136204357e-05, + "loss": 0.8202, + "step": 4062 + }, + { + "epoch": 0.78, + "learning_rate": 2.3981664264669023e-05, + "loss": 0.8135, + "step": 4063 + }, + { + "epoch": 0.78, + "learning_rate": 2.3941196680229794e-05, + "loss": 0.7476, + "step": 4064 + }, + { + "epoch": 0.78, + "learning_rate": 2.390075862443677e-05, + "loss": 0.7827, + "step": 4065 + }, + { + "epoch": 0.78, + "learning_rate": 2.386035011298947e-05, + "loss": 0.7922, + "step": 4066 + }, + { + "epoch": 0.78, + "learning_rate": 2.3819971161575803e-05, + "loss": 0.7888, + "step": 4067 + }, + { + "epoch": 0.78, + "learning_rate": 2.377962178587225e-05, + "loss": 0.8171, + "step": 4068 + }, + { + "epoch": 0.78, + "learning_rate": 2.3739302001543918e-05, + "loss": 0.7466, + "step": 4069 + }, + { + "epoch": 0.78, + "learning_rate": 2.3699011824244232e-05, + "loss": 0.8716, + "step": 4070 + }, + { + "epoch": 0.78, + "learning_rate": 2.365875126961531e-05, + "loss": 0.7661, + "step": 4071 + }, + { + "epoch": 0.78, + "learning_rate": 2.3618520353287643e-05, + "loss": 0.8274, + "step": 4072 + }, + { + "epoch": 0.78, + "learning_rate": 2.357831909088026e-05, + "loss": 0.8279, + "step": 4073 + }, + { + "epoch": 0.78, + "learning_rate": 2.3538147498000695e-05, + "loss": 0.8145, + "step": 4074 + }, + { + "epoch": 0.78, + "learning_rate": 2.349800559024492e-05, + "loss": 0.7959, + "step": 4075 + }, + { + "epoch": 0.78, + "learning_rate": 2.3457893383197416e-05, + "loss": 0.8286, + "step": 4076 + }, + { + "epoch": 0.78, + "learning_rate": 2.3417810892431103e-05, + "loss": 0.7856, + "step": 4077 + }, + { + "epoch": 0.78, + "learning_rate": 2.3377758133507456e-05, + "loss": 0.811, + "step": 4078 + }, + { + "epoch": 0.78, + "learning_rate": 2.3337735121976245e-05, + "loss": 0.8169, + "step": 4079 + }, + { + "epoch": 0.78, + "learning_rate": 2.3297741873375802e-05, + "loss": 0.7904, + "step": 4080 + }, + { + "epoch": 0.79, + "learning_rate": 2.3257778403232954e-05, + "loss": 0.7969, + "step": 4081 + }, + { + "epoch": 0.79, + "learning_rate": 2.321784472706279e-05, + "loss": 0.7499, + "step": 4082 + }, + { + "epoch": 0.79, + "learning_rate": 2.3177940860369007e-05, + "loss": 0.8149, + "step": 4083 + }, + { + "epoch": 0.79, + "learning_rate": 2.3138066818643644e-05, + "loss": 0.7944, + "step": 4084 + }, + { + "epoch": 0.79, + "learning_rate": 2.3098222617367182e-05, + "loss": 0.7744, + "step": 4085 + }, + { + "epoch": 0.79, + "learning_rate": 2.30584082720085e-05, + "loss": 0.8313, + "step": 4086 + }, + { + "epoch": 0.79, + "learning_rate": 2.3018623798024918e-05, + "loss": 0.7936, + "step": 4087 + }, + { + "epoch": 0.79, + "learning_rate": 2.297886921086211e-05, + "loss": 0.7795, + "step": 4088 + }, + { + "epoch": 0.79, + "learning_rate": 2.293914452595419e-05, + "loss": 0.7456, + "step": 4089 + }, + { + "epoch": 0.79, + "learning_rate": 2.2899449758723657e-05, + "loss": 0.8225, + "step": 4090 + }, + { + "epoch": 0.79, + "learning_rate": 2.285978492458134e-05, + "loss": 0.7037, + "step": 4091 + }, + { + "epoch": 0.79, + "learning_rate": 2.282015003892659e-05, + "loss": 0.8298, + "step": 4092 + }, + { + "epoch": 0.79, + "learning_rate": 2.2780545117146947e-05, + "loss": 0.7715, + "step": 4093 + }, + { + "epoch": 0.79, + "learning_rate": 2.2740970174618403e-05, + "loss": 0.813, + "step": 4094 + }, + { + "epoch": 0.79, + "learning_rate": 2.2701425226705408e-05, + "loss": 0.7609, + "step": 4095 + }, + { + "epoch": 0.79, + "learning_rate": 2.2661910288760547e-05, + "loss": 0.7825, + "step": 4096 + }, + { + "epoch": 0.79, + "learning_rate": 2.2622425376124967e-05, + "loss": 0.8054, + "step": 4097 + }, + { + "epoch": 0.79, + "learning_rate": 2.2582970504128042e-05, + "loss": 0.8513, + "step": 4098 + }, + { + "epoch": 0.79, + "learning_rate": 2.2543545688087518e-05, + "loss": 0.6781, + "step": 4099 + }, + { + "epoch": 0.79, + "learning_rate": 2.2504150943309453e-05, + "loss": 0.7791, + "step": 4100 + }, + { + "epoch": 0.79, + "learning_rate": 2.2464786285088268e-05, + "loss": 0.8184, + "step": 4101 + }, + { + "epoch": 0.79, + "learning_rate": 2.242545172870665e-05, + "loss": 0.7585, + "step": 4102 + }, + { + "epoch": 0.79, + "learning_rate": 2.238614728943561e-05, + "loss": 0.7764, + "step": 4103 + }, + { + "epoch": 0.79, + "learning_rate": 2.2346872982534584e-05, + "loss": 0.7239, + "step": 4104 + }, + { + "epoch": 0.79, + "learning_rate": 2.230762882325108e-05, + "loss": 0.7195, + "step": 4105 + }, + { + "epoch": 0.79, + "learning_rate": 2.2268414826821115e-05, + "loss": 0.7775, + "step": 4106 + }, + { + "epoch": 0.79, + "learning_rate": 2.2229231008468932e-05, + "loss": 0.8403, + "step": 4107 + }, + { + "epoch": 0.79, + "learning_rate": 2.2190077383406936e-05, + "loss": 0.769, + "step": 4108 + }, + { + "epoch": 0.79, + "learning_rate": 2.2150953966835996e-05, + "loss": 0.7991, + "step": 4109 + }, + { + "epoch": 0.79, + "learning_rate": 2.211186077394516e-05, + "loss": 0.7844, + "step": 4110 + }, + { + "epoch": 0.79, + "learning_rate": 2.2072797819911726e-05, + "loss": 0.8518, + "step": 4111 + }, + { + "epoch": 0.79, + "learning_rate": 2.2033765119901295e-05, + "loss": 0.735, + "step": 4112 + }, + { + "epoch": 0.79, + "learning_rate": 2.1994762689067704e-05, + "loss": 0.7367, + "step": 4113 + }, + { + "epoch": 0.79, + "learning_rate": 2.1955790542553033e-05, + "loss": 0.8083, + "step": 4114 + }, + { + "epoch": 0.79, + "learning_rate": 2.1916848695487614e-05, + "loss": 0.8196, + "step": 4115 + }, + { + "epoch": 0.79, + "learning_rate": 2.1877937162990014e-05, + "loss": 0.7614, + "step": 4116 + }, + { + "epoch": 0.79, + "learning_rate": 2.1839055960166997e-05, + "loss": 0.822, + "step": 4117 + }, + { + "epoch": 0.79, + "learning_rate": 2.180020510211367e-05, + "loss": 0.8301, + "step": 4118 + }, + { + "epoch": 0.79, + "learning_rate": 2.1761384603913205e-05, + "loss": 0.7737, + "step": 4119 + }, + { + "epoch": 0.79, + "learning_rate": 2.1722594480637036e-05, + "loss": 0.8164, + "step": 4120 + }, + { + "epoch": 0.79, + "learning_rate": 2.168383474734491e-05, + "loss": 0.7681, + "step": 4121 + }, + { + "epoch": 0.79, + "learning_rate": 2.1645105419084588e-05, + "loss": 0.7698, + "step": 4122 + }, + { + "epoch": 0.79, + "learning_rate": 2.1606406510892208e-05, + "loss": 0.8313, + "step": 4123 + }, + { + "epoch": 0.79, + "learning_rate": 2.1567738037791995e-05, + "loss": 0.3322, + "step": 4124 + }, + { + "epoch": 0.79, + "learning_rate": 2.152910001479638e-05, + "loss": 0.7347, + "step": 4125 + }, + { + "epoch": 0.79, + "learning_rate": 2.1490492456905965e-05, + "loss": 0.7297, + "step": 4126 + }, + { + "epoch": 0.79, + "learning_rate": 2.1451915379109543e-05, + "loss": 0.7915, + "step": 4127 + }, + { + "epoch": 0.79, + "learning_rate": 2.141336879638406e-05, + "loss": 0.8186, + "step": 4128 + }, + { + "epoch": 0.79, + "learning_rate": 2.1374852723694592e-05, + "loss": 0.7866, + "step": 4129 + }, + { + "epoch": 0.79, + "learning_rate": 2.1336367175994508e-05, + "loss": 0.791, + "step": 4130 + }, + { + "epoch": 0.79, + "learning_rate": 2.1297912168225088e-05, + "loss": 0.7451, + "step": 4131 + }, + { + "epoch": 0.79, + "learning_rate": 2.1259487715315997e-05, + "loss": 0.7347, + "step": 4132 + }, + { + "epoch": 0.8, + "learning_rate": 2.12210938321849e-05, + "loss": 0.7362, + "step": 4133 + }, + { + "epoch": 0.8, + "learning_rate": 2.1182730533737573e-05, + "loss": 0.7731, + "step": 4134 + }, + { + "epoch": 0.8, + "learning_rate": 2.1144397834868035e-05, + "loss": 0.7664, + "step": 4135 + }, + { + "epoch": 0.8, + "learning_rate": 2.110609575045833e-05, + "loss": 0.7825, + "step": 4136 + }, + { + "epoch": 0.8, + "learning_rate": 2.1067824295378658e-05, + "loss": 0.7993, + "step": 4137 + }, + { + "epoch": 0.8, + "learning_rate": 2.1029583484487314e-05, + "loss": 0.8137, + "step": 4138 + }, + { + "epoch": 0.8, + "learning_rate": 2.0991373332630682e-05, + "loss": 0.7991, + "step": 4139 + }, + { + "epoch": 0.8, + "learning_rate": 2.0953193854643273e-05, + "loss": 0.7998, + "step": 4140 + }, + { + "epoch": 0.8, + "learning_rate": 2.0915045065347672e-05, + "loss": 0.7797, + "step": 4141 + }, + { + "epoch": 0.8, + "learning_rate": 2.0876926979554546e-05, + "loss": 0.8218, + "step": 4142 + }, + { + "epoch": 0.8, + "learning_rate": 2.0838839612062634e-05, + "loss": 0.7776, + "step": 4143 + }, + { + "epoch": 0.8, + "learning_rate": 2.0800782977658838e-05, + "loss": 0.7815, + "step": 4144 + }, + { + "epoch": 0.8, + "learning_rate": 2.0762757091117936e-05, + "loss": 0.8364, + "step": 4145 + }, + { + "epoch": 0.8, + "learning_rate": 2.0724761967202987e-05, + "loss": 0.7798, + "step": 4146 + }, + { + "epoch": 0.8, + "learning_rate": 2.068679762066499e-05, + "loss": 0.7523, + "step": 4147 + }, + { + "epoch": 0.8, + "learning_rate": 2.0648864066242933e-05, + "loss": 0.8448, + "step": 4148 + }, + { + "epoch": 0.8, + "learning_rate": 2.0610961318664013e-05, + "loss": 0.3409, + "step": 4149 + }, + { + "epoch": 0.8, + "learning_rate": 2.0573089392643364e-05, + "loss": 0.8013, + "step": 4150 + }, + { + "epoch": 0.8, + "learning_rate": 2.0535248302884146e-05, + "loss": 0.8296, + "step": 4151 + }, + { + "epoch": 0.8, + "learning_rate": 2.04974380640776e-05, + "loss": 0.7114, + "step": 4152 + }, + { + "epoch": 0.8, + "learning_rate": 2.045965869090295e-05, + "loss": 0.7861, + "step": 4153 + }, + { + "epoch": 0.8, + "learning_rate": 2.042191019802745e-05, + "loss": 0.8042, + "step": 4154 + }, + { + "epoch": 0.8, + "learning_rate": 2.0384192600106335e-05, + "loss": 0.7996, + "step": 4155 + }, + { + "epoch": 0.8, + "learning_rate": 2.0346505911782954e-05, + "loss": 0.8184, + "step": 4156 + }, + { + "epoch": 0.8, + "learning_rate": 2.0308850147688486e-05, + "loss": 0.7458, + "step": 4157 + }, + { + "epoch": 0.8, + "learning_rate": 2.0271225322442256e-05, + "loss": 0.7853, + "step": 4158 + }, + { + "epoch": 0.8, + "learning_rate": 2.0233631450651523e-05, + "loss": 0.812, + "step": 4159 + }, + { + "epoch": 0.8, + "learning_rate": 2.019606854691145e-05, + "loss": 0.7871, + "step": 4160 + }, + { + "epoch": 0.8, + "learning_rate": 2.0158536625805325e-05, + "loss": 0.8162, + "step": 4161 + }, + { + "epoch": 0.8, + "learning_rate": 2.01210357019043e-05, + "loss": 0.7527, + "step": 4162 + }, + { + "epoch": 0.8, + "learning_rate": 2.0083565789767523e-05, + "loss": 0.8018, + "step": 4163 + }, + { + "epoch": 0.8, + "learning_rate": 2.004612690394212e-05, + "loss": 0.7954, + "step": 4164 + }, + { + "epoch": 0.8, + "learning_rate": 2.0008719058963145e-05, + "loss": 0.7911, + "step": 4165 + }, + { + "epoch": 0.8, + "learning_rate": 1.997134226935361e-05, + "loss": 0.7913, + "step": 4166 + }, + { + "epoch": 0.8, + "learning_rate": 1.993399654962447e-05, + "loss": 0.8374, + "step": 4167 + }, + { + "epoch": 0.8, + "learning_rate": 1.9896681914274617e-05, + "loss": 0.8521, + "step": 4168 + }, + { + "epoch": 0.8, + "learning_rate": 1.9859398377790873e-05, + "loss": 0.8496, + "step": 4169 + }, + { + "epoch": 0.8, + "learning_rate": 1.982214595464804e-05, + "loss": 0.8191, + "step": 4170 + }, + { + "epoch": 0.8, + "learning_rate": 1.97849246593087e-05, + "loss": 0.8301, + "step": 4171 + }, + { + "epoch": 0.8, + "learning_rate": 1.9747734506223525e-05, + "loss": 0.821, + "step": 4172 + }, + { + "epoch": 0.8, + "learning_rate": 1.9710575509831007e-05, + "loss": 0.8274, + "step": 4173 + }, + { + "epoch": 0.8, + "learning_rate": 1.9673447684557468e-05, + "loss": 0.7419, + "step": 4174 + }, + { + "epoch": 0.8, + "learning_rate": 1.9636351044817292e-05, + "loss": 0.7482, + "step": 4175 + }, + { + "epoch": 0.8, + "learning_rate": 1.9599285605012642e-05, + "loss": 0.8086, + "step": 4176 + }, + { + "epoch": 0.8, + "learning_rate": 1.956225137953359e-05, + "loss": 0.3358, + "step": 4177 + }, + { + "epoch": 0.8, + "learning_rate": 1.952524838275811e-05, + "loss": 0.8403, + "step": 4178 + }, + { + "epoch": 0.8, + "learning_rate": 1.9488276629052026e-05, + "loss": 0.8157, + "step": 4179 + }, + { + "epoch": 0.8, + "learning_rate": 1.945133613276907e-05, + "loss": 0.7957, + "step": 4180 + }, + { + "epoch": 0.8, + "learning_rate": 1.941442690825076e-05, + "loss": 0.7974, + "step": 4181 + }, + { + "epoch": 0.8, + "learning_rate": 1.9377548969826633e-05, + "loss": 0.7993, + "step": 4182 + }, + { + "epoch": 0.8, + "learning_rate": 1.9340702331813842e-05, + "loss": 0.7197, + "step": 4183 + }, + { + "epoch": 0.8, + "learning_rate": 1.930388700851762e-05, + "loss": 0.8503, + "step": 4184 + }, + { + "epoch": 0.81, + "learning_rate": 1.9267103014230935e-05, + "loss": 0.7886, + "step": 4185 + }, + { + "epoch": 0.81, + "learning_rate": 1.9230350363234516e-05, + "loss": 0.7103, + "step": 4186 + }, + { + "epoch": 0.81, + "learning_rate": 1.9193629069797102e-05, + "loss": 0.7435, + "step": 4187 + }, + { + "epoch": 0.81, + "learning_rate": 1.9156939148175125e-05, + "loss": 0.7529, + "step": 4188 + }, + { + "epoch": 0.81, + "learning_rate": 1.912028061261287e-05, + "loss": 0.772, + "step": 4189 + }, + { + "epoch": 0.81, + "learning_rate": 1.9083653477342466e-05, + "loss": 0.74, + "step": 4190 + }, + { + "epoch": 0.81, + "learning_rate": 1.904705775658381e-05, + "loss": 0.6899, + "step": 4191 + }, + { + "epoch": 0.81, + "learning_rate": 1.901049346454462e-05, + "loss": 0.8416, + "step": 4192 + }, + { + "epoch": 0.81, + "learning_rate": 1.8973960615420416e-05, + "loss": 0.72, + "step": 4193 + }, + { + "epoch": 0.81, + "learning_rate": 1.8937459223394515e-05, + "loss": 0.3183, + "step": 4194 + }, + { + "epoch": 0.81, + "learning_rate": 1.8900989302637985e-05, + "loss": 0.7041, + "step": 4195 + }, + { + "epoch": 0.81, + "learning_rate": 1.8864550867309773e-05, + "loss": 0.7466, + "step": 4196 + }, + { + "epoch": 0.81, + "learning_rate": 1.8828143931556442e-05, + "loss": 0.7578, + "step": 4197 + }, + { + "epoch": 0.81, + "learning_rate": 1.8791768509512487e-05, + "loss": 0.8394, + "step": 4198 + }, + { + "epoch": 0.81, + "learning_rate": 1.875542461530011e-05, + "loss": 0.7996, + "step": 4199 + }, + { + "epoch": 0.81, + "learning_rate": 1.871911226302917e-05, + "loss": 0.7947, + "step": 4200 + }, + { + "epoch": 0.81, + "learning_rate": 1.8682831466797467e-05, + "loss": 0.8284, + "step": 4201 + }, + { + "epoch": 0.81, + "learning_rate": 1.8646582240690412e-05, + "loss": 0.7688, + "step": 4202 + }, + { + "epoch": 0.81, + "learning_rate": 1.8610364598781226e-05, + "loss": 0.8196, + "step": 4203 + }, + { + "epoch": 0.81, + "learning_rate": 1.8574178555130817e-05, + "loss": 0.7294, + "step": 4204 + }, + { + "epoch": 0.81, + "learning_rate": 1.8538024123787868e-05, + "loss": 0.7742, + "step": 4205 + }, + { + "epoch": 0.81, + "learning_rate": 1.8501901318788774e-05, + "loss": 0.7531, + "step": 4206 + }, + { + "epoch": 0.81, + "learning_rate": 1.8465810154157624e-05, + "loss": 0.7194, + "step": 4207 + }, + { + "epoch": 0.81, + "learning_rate": 1.842975064390633e-05, + "loss": 0.7891, + "step": 4208 + }, + { + "epoch": 0.81, + "learning_rate": 1.839372280203433e-05, + "loss": 0.7379, + "step": 4209 + }, + { + "epoch": 0.81, + "learning_rate": 1.835772664252895e-05, + "loss": 0.7751, + "step": 4210 + }, + { + "epoch": 0.81, + "learning_rate": 1.832176217936511e-05, + "loss": 0.7888, + "step": 4211 + }, + { + "epoch": 0.81, + "learning_rate": 1.8285829426505453e-05, + "loss": 0.7396, + "step": 4212 + }, + { + "epoch": 0.81, + "learning_rate": 1.824992839790035e-05, + "loss": 0.7869, + "step": 4213 + }, + { + "epoch": 0.81, + "learning_rate": 1.8214059107487726e-05, + "loss": 0.7737, + "step": 4214 + }, + { + "epoch": 0.81, + "learning_rate": 1.8178221569193343e-05, + "loss": 0.8008, + "step": 4215 + }, + { + "epoch": 0.81, + "learning_rate": 1.8142415796930568e-05, + "loss": 0.8137, + "step": 4216 + }, + { + "epoch": 0.81, + "learning_rate": 1.810664180460041e-05, + "loss": 0.8152, + "step": 4217 + }, + { + "epoch": 0.81, + "learning_rate": 1.8070899606091583e-05, + "loss": 0.7974, + "step": 4218 + }, + { + "epoch": 0.81, + "learning_rate": 1.8035189215280423e-05, + "loss": 0.7849, + "step": 4219 + }, + { + "epoch": 0.81, + "learning_rate": 1.7999510646030948e-05, + "loss": 0.7877, + "step": 4220 + }, + { + "epoch": 0.81, + "learning_rate": 1.7963863912194766e-05, + "loss": 0.7612, + "step": 4221 + }, + { + "epoch": 0.81, + "learning_rate": 1.7928249027611254e-05, + "loss": 0.7539, + "step": 4222 + }, + { + "epoch": 0.81, + "learning_rate": 1.789266600610724e-05, + "loss": 0.7135, + "step": 4223 + }, + { + "epoch": 0.81, + "learning_rate": 1.7857114861497336e-05, + "loss": 0.7856, + "step": 4224 + }, + { + "epoch": 0.81, + "learning_rate": 1.782159560758373e-05, + "loss": 0.799, + "step": 4225 + }, + { + "epoch": 0.81, + "learning_rate": 1.7786108258156155e-05, + "loss": 0.7833, + "step": 4226 + }, + { + "epoch": 0.81, + "learning_rate": 1.7750652826992075e-05, + "loss": 0.7515, + "step": 4227 + }, + { + "epoch": 0.81, + "learning_rate": 1.7715229327856498e-05, + "loss": 0.802, + "step": 4228 + }, + { + "epoch": 0.81, + "learning_rate": 1.767983777450205e-05, + "loss": 0.7336, + "step": 4229 + }, + { + "epoch": 0.81, + "learning_rate": 1.7644478180668943e-05, + "loss": 0.793, + "step": 4230 + }, + { + "epoch": 0.81, + "learning_rate": 1.7609150560084985e-05, + "loss": 0.7979, + "step": 4231 + }, + { + "epoch": 0.81, + "learning_rate": 1.757385492646558e-05, + "loss": 0.7433, + "step": 4232 + }, + { + "epoch": 0.81, + "learning_rate": 1.7538591293513685e-05, + "loss": 0.724, + "step": 4233 + }, + { + "epoch": 0.81, + "learning_rate": 1.750335967491993e-05, + "loss": 0.8102, + "step": 4234 + }, + { + "epoch": 0.81, + "learning_rate": 1.746816008436234e-05, + "loss": 0.7869, + "step": 4235 + }, + { + "epoch": 0.81, + "learning_rate": 1.7432992535506686e-05, + "loss": 0.75, + "step": 4236 + }, + { + "epoch": 0.82, + "learning_rate": 1.7397857042006194e-05, + "loss": 0.7758, + "step": 4237 + }, + { + "epoch": 0.82, + "learning_rate": 1.736275361750167e-05, + "loss": 0.8079, + "step": 4238 + }, + { + "epoch": 0.82, + "learning_rate": 1.7327682275621503e-05, + "loss": 0.8328, + "step": 4239 + }, + { + "epoch": 0.82, + "learning_rate": 1.7292643029981526e-05, + "loss": 0.8173, + "step": 4240 + }, + { + "epoch": 0.82, + "learning_rate": 1.725763589418523e-05, + "loss": 0.8027, + "step": 4241 + }, + { + "epoch": 0.82, + "learning_rate": 1.7222660881823593e-05, + "loss": 0.7592, + "step": 4242 + }, + { + "epoch": 0.82, + "learning_rate": 1.7187718006475117e-05, + "loss": 0.7898, + "step": 4243 + }, + { + "epoch": 0.82, + "learning_rate": 1.7152807281705806e-05, + "loss": 0.7428, + "step": 4244 + }, + { + "epoch": 0.82, + "learning_rate": 1.7117928721069232e-05, + "loss": 0.7776, + "step": 4245 + }, + { + "epoch": 0.82, + "learning_rate": 1.7083082338106438e-05, + "loss": 0.8125, + "step": 4246 + }, + { + "epoch": 0.82, + "learning_rate": 1.7048268146345968e-05, + "loss": 0.731, + "step": 4247 + }, + { + "epoch": 0.82, + "learning_rate": 1.701348615930397e-05, + "loss": 0.7812, + "step": 4248 + }, + { + "epoch": 0.82, + "learning_rate": 1.6978736390483895e-05, + "loss": 0.7781, + "step": 4249 + }, + { + "epoch": 0.82, + "learning_rate": 1.6944018853376897e-05, + "loss": 0.6844, + "step": 4250 + }, + { + "epoch": 0.82, + "learning_rate": 1.6909333561461472e-05, + "loss": 0.7266, + "step": 4251 + }, + { + "epoch": 0.82, + "learning_rate": 1.6874680528203656e-05, + "loss": 0.8328, + "step": 4252 + }, + { + "epoch": 0.82, + "learning_rate": 1.684005976705695e-05, + "loss": 0.7825, + "step": 4253 + }, + { + "epoch": 0.82, + "learning_rate": 1.6805471291462317e-05, + "loss": 0.7859, + "step": 4254 + }, + { + "epoch": 0.82, + "learning_rate": 1.6770915114848194e-05, + "loss": 0.8337, + "step": 4255 + }, + { + "epoch": 0.82, + "learning_rate": 1.67363912506305e-05, + "loss": 0.7578, + "step": 4256 + }, + { + "epoch": 0.82, + "learning_rate": 1.6701899712212564e-05, + "loss": 0.8123, + "step": 4257 + }, + { + "epoch": 0.82, + "learning_rate": 1.66674405129852e-05, + "loss": 0.8245, + "step": 4258 + }, + { + "epoch": 0.82, + "learning_rate": 1.6633013666326637e-05, + "loss": 0.8054, + "step": 4259 + }, + { + "epoch": 0.82, + "learning_rate": 1.6598619185602614e-05, + "loss": 0.7242, + "step": 4260 + }, + { + "epoch": 0.82, + "learning_rate": 1.656425708416617e-05, + "loss": 0.3147, + "step": 4261 + }, + { + "epoch": 0.82, + "learning_rate": 1.6529927375357958e-05, + "loss": 0.7808, + "step": 4262 + }, + { + "epoch": 0.82, + "learning_rate": 1.649563007250584e-05, + "loss": 0.7841, + "step": 4263 + }, + { + "epoch": 0.82, + "learning_rate": 1.6461365188925304e-05, + "loss": 0.7759, + "step": 4264 + }, + { + "epoch": 0.82, + "learning_rate": 1.6427132737919137e-05, + "loss": 0.7959, + "step": 4265 + }, + { + "epoch": 0.82, + "learning_rate": 1.6392932732777487e-05, + "loss": 0.7979, + "step": 4266 + }, + { + "epoch": 0.82, + "learning_rate": 1.6358765186778057e-05, + "loss": 0.8049, + "step": 4267 + }, + { + "epoch": 0.82, + "learning_rate": 1.6324630113185836e-05, + "loss": 0.7747, + "step": 4268 + }, + { + "epoch": 0.82, + "learning_rate": 1.6290527525253228e-05, + "loss": 0.7754, + "step": 4269 + }, + { + "epoch": 0.82, + "learning_rate": 1.6256457436220028e-05, + "loss": 0.8408, + "step": 4270 + }, + { + "epoch": 0.82, + "learning_rate": 1.6222419859313442e-05, + "loss": 0.8108, + "step": 4271 + }, + { + "epoch": 0.82, + "learning_rate": 1.6188414807747997e-05, + "loss": 0.8232, + "step": 4272 + }, + { + "epoch": 0.82, + "learning_rate": 1.6154442294725636e-05, + "loss": 0.7842, + "step": 4273 + }, + { + "epoch": 0.82, + "learning_rate": 1.6120502333435693e-05, + "loss": 0.2976, + "step": 4274 + }, + { + "epoch": 0.82, + "learning_rate": 1.6086594937054765e-05, + "loss": 0.75, + "step": 4275 + }, + { + "epoch": 0.82, + "learning_rate": 1.6052720118746922e-05, + "loss": 0.8025, + "step": 4276 + }, + { + "epoch": 0.82, + "learning_rate": 1.601887789166352e-05, + "loss": 0.7607, + "step": 4277 + }, + { + "epoch": 0.82, + "learning_rate": 1.598506826894328e-05, + "loss": 0.727, + "step": 4278 + }, + { + "epoch": 0.82, + "learning_rate": 1.5951291263712252e-05, + "loss": 0.7888, + "step": 4279 + }, + { + "epoch": 0.82, + "learning_rate": 1.5917546889083834e-05, + "loss": 0.7939, + "step": 4280 + }, + { + "epoch": 0.82, + "learning_rate": 1.5883835158158765e-05, + "loss": 0.7588, + "step": 4281 + }, + { + "epoch": 0.82, + "learning_rate": 1.585015608402509e-05, + "loss": 0.8127, + "step": 4282 + }, + { + "epoch": 0.82, + "learning_rate": 1.5816509679758185e-05, + "loss": 0.8391, + "step": 4283 + }, + { + "epoch": 0.82, + "learning_rate": 1.578289595842074e-05, + "loss": 0.7561, + "step": 4284 + }, + { + "epoch": 0.82, + "learning_rate": 1.5749314933062753e-05, + "loss": 0.8359, + "step": 4285 + }, + { + "epoch": 0.82, + "learning_rate": 1.5715766616721582e-05, + "loss": 0.7595, + "step": 4286 + }, + { + "epoch": 0.82, + "learning_rate": 1.5682251022421758e-05, + "loss": 0.7908, + "step": 4287 + }, + { + "epoch": 0.82, + "learning_rate": 1.5648768163175277e-05, + "loss": 0.7489, + "step": 4288 + }, + { + "epoch": 0.83, + "learning_rate": 1.561531805198124e-05, + "loss": 0.32, + "step": 4289 + }, + { + "epoch": 0.83, + "learning_rate": 1.5581900701826225e-05, + "loss": 0.7666, + "step": 4290 + }, + { + "epoch": 0.83, + "learning_rate": 1.5548516125683978e-05, + "loss": 0.7837, + "step": 4291 + }, + { + "epoch": 0.83, + "learning_rate": 1.5515164336515465e-05, + "loss": 0.8071, + "step": 4292 + }, + { + "epoch": 0.83, + "learning_rate": 1.5481845347269076e-05, + "loss": 0.7856, + "step": 4293 + }, + { + "epoch": 0.83, + "learning_rate": 1.5448559170880374e-05, + "loss": 0.8024, + "step": 4294 + }, + { + "epoch": 0.83, + "learning_rate": 1.5415305820272197e-05, + "loss": 0.8091, + "step": 4295 + }, + { + "epoch": 0.83, + "learning_rate": 1.538208530835463e-05, + "loss": 0.7733, + "step": 4296 + }, + { + "epoch": 0.83, + "learning_rate": 1.534889764802503e-05, + "loss": 0.8044, + "step": 4297 + }, + { + "epoch": 0.83, + "learning_rate": 1.531574285216799e-05, + "loss": 0.7625, + "step": 4298 + }, + { + "epoch": 0.83, + "learning_rate": 1.528262093365531e-05, + "loss": 0.8259, + "step": 4299 + }, + { + "epoch": 0.83, + "learning_rate": 1.5249531905346138e-05, + "loss": 0.8308, + "step": 4300 + }, + { + "epoch": 0.83, + "learning_rate": 1.5216475780086669e-05, + "loss": 0.8063, + "step": 4301 + }, + { + "epoch": 0.83, + "learning_rate": 1.5183452570710522e-05, + "loss": 0.7267, + "step": 4302 + }, + { + "epoch": 0.83, + "learning_rate": 1.5150462290038392e-05, + "loss": 0.3555, + "step": 4303 + }, + { + "epoch": 0.83, + "learning_rate": 1.511750495087827e-05, + "loss": 0.8003, + "step": 4304 + }, + { + "epoch": 0.83, + "learning_rate": 1.5084580566025308e-05, + "loss": 0.8682, + "step": 4305 + }, + { + "epoch": 0.83, + "learning_rate": 1.5051689148261894e-05, + "loss": 0.8215, + "step": 4306 + }, + { + "epoch": 0.83, + "learning_rate": 1.5018830710357611e-05, + "loss": 0.6802, + "step": 4307 + }, + { + "epoch": 0.83, + "learning_rate": 1.4986005265069204e-05, + "loss": 0.8081, + "step": 4308 + }, + { + "epoch": 0.83, + "learning_rate": 1.4953212825140727e-05, + "loss": 0.7892, + "step": 4309 + }, + { + "epoch": 0.83, + "learning_rate": 1.4920453403303247e-05, + "loss": 0.7202, + "step": 4310 + }, + { + "epoch": 0.83, + "learning_rate": 1.488772701227511e-05, + "loss": 0.3535, + "step": 4311 + }, + { + "epoch": 0.83, + "learning_rate": 1.4855033664761897e-05, + "loss": 0.6409, + "step": 4312 + }, + { + "epoch": 0.83, + "learning_rate": 1.48223733734562e-05, + "loss": 0.7869, + "step": 4313 + }, + { + "epoch": 0.83, + "learning_rate": 1.4789746151037942e-05, + "loss": 0.7622, + "step": 4314 + }, + { + "epoch": 0.83, + "learning_rate": 1.4757152010174069e-05, + "loss": 0.335, + "step": 4315 + }, + { + "epoch": 0.83, + "learning_rate": 1.4724590963518803e-05, + "loss": 0.7651, + "step": 4316 + }, + { + "epoch": 0.83, + "learning_rate": 1.4692063023713443e-05, + "loss": 0.7526, + "step": 4317 + }, + { + "epoch": 0.83, + "learning_rate": 1.4659568203386465e-05, + "loss": 0.7637, + "step": 4318 + }, + { + "epoch": 0.83, + "learning_rate": 1.4627106515153455e-05, + "loss": 0.781, + "step": 4319 + }, + { + "epoch": 0.83, + "learning_rate": 1.4594677971617177e-05, + "loss": 0.8107, + "step": 4320 + }, + { + "epoch": 0.83, + "learning_rate": 1.4562282585367492e-05, + "loss": 0.7881, + "step": 4321 + }, + { + "epoch": 0.83, + "learning_rate": 1.452992036898142e-05, + "loss": 0.7522, + "step": 4322 + }, + { + "epoch": 0.83, + "learning_rate": 1.4497591335023086e-05, + "loss": 0.7407, + "step": 4323 + }, + { + "epoch": 0.83, + "learning_rate": 1.4465295496043729e-05, + "loss": 0.7854, + "step": 4324 + }, + { + "epoch": 0.83, + "learning_rate": 1.4433032864581686e-05, + "loss": 0.8269, + "step": 4325 + }, + { + "epoch": 0.83, + "learning_rate": 1.4400803453162482e-05, + "loss": 0.7318, + "step": 4326 + }, + { + "epoch": 0.83, + "learning_rate": 1.4368607274298595e-05, + "loss": 0.8132, + "step": 4327 + }, + { + "epoch": 0.83, + "learning_rate": 1.4336444340489775e-05, + "loss": 0.3181, + "step": 4328 + }, + { + "epoch": 0.83, + "learning_rate": 1.4304314664222728e-05, + "loss": 0.7727, + "step": 4329 + }, + { + "epoch": 0.83, + "learning_rate": 1.4272218257971326e-05, + "loss": 0.8044, + "step": 4330 + }, + { + "epoch": 0.83, + "learning_rate": 1.4240155134196499e-05, + "loss": 0.7952, + "step": 4331 + }, + { + "epoch": 0.83, + "learning_rate": 1.4208125305346232e-05, + "loss": 0.7385, + "step": 4332 + }, + { + "epoch": 0.83, + "learning_rate": 1.4176128783855636e-05, + "loss": 0.7737, + "step": 4333 + }, + { + "epoch": 0.83, + "learning_rate": 1.4144165582146817e-05, + "loss": 0.7832, + "step": 4334 + }, + { + "epoch": 0.83, + "learning_rate": 1.4112235712629064e-05, + "loss": 0.761, + "step": 4335 + }, + { + "epoch": 0.83, + "learning_rate": 1.40803391876986e-05, + "loss": 0.6969, + "step": 4336 + }, + { + "epoch": 0.83, + "learning_rate": 1.4048476019738755e-05, + "loss": 0.7847, + "step": 4337 + }, + { + "epoch": 0.83, + "learning_rate": 1.401664622111991e-05, + "loss": 0.7537, + "step": 4338 + }, + { + "epoch": 0.83, + "learning_rate": 1.3984849804199485e-05, + "loss": 0.7639, + "step": 4339 + }, + { + "epoch": 0.83, + "learning_rate": 1.3953086781321988e-05, + "loss": 0.8201, + "step": 4340 + }, + { + "epoch": 0.84, + "learning_rate": 1.3921357164818848e-05, + "loss": 0.799, + "step": 4341 + }, + { + "epoch": 0.84, + "learning_rate": 1.3889660967008655e-05, + "loss": 0.7844, + "step": 4342 + }, + { + "epoch": 0.84, + "learning_rate": 1.3857998200196941e-05, + "loss": 0.7808, + "step": 4343 + }, + { + "epoch": 0.84, + "learning_rate": 1.3826368876676278e-05, + "loss": 0.7739, + "step": 4344 + }, + { + "epoch": 0.84, + "learning_rate": 1.3794773008726259e-05, + "loss": 0.7869, + "step": 4345 + }, + { + "epoch": 0.84, + "learning_rate": 1.3763210608613498e-05, + "loss": 0.7761, + "step": 4346 + }, + { + "epoch": 0.84, + "learning_rate": 1.3731681688591591e-05, + "loss": 0.7446, + "step": 4347 + }, + { + "epoch": 0.84, + "learning_rate": 1.370018626090116e-05, + "loss": 0.75, + "step": 4348 + }, + { + "epoch": 0.84, + "learning_rate": 1.3668724337769823e-05, + "loss": 0.7341, + "step": 4349 + }, + { + "epoch": 0.84, + "learning_rate": 1.3637295931412152e-05, + "loss": 0.7869, + "step": 4350 + }, + { + "epoch": 0.84, + "learning_rate": 1.3605901054029746e-05, + "loss": 0.7729, + "step": 4351 + }, + { + "epoch": 0.84, + "learning_rate": 1.357453971781123e-05, + "loss": 0.7578, + "step": 4352 + }, + { + "epoch": 0.84, + "learning_rate": 1.3543211934932065e-05, + "loss": 0.8312, + "step": 4353 + }, + { + "epoch": 0.84, + "learning_rate": 1.3511917717554846e-05, + "loss": 0.7786, + "step": 4354 + }, + { + "epoch": 0.84, + "learning_rate": 1.348065707782904e-05, + "loss": 0.7054, + "step": 4355 + }, + { + "epoch": 0.84, + "learning_rate": 1.3449430027891097e-05, + "loss": 0.7255, + "step": 4356 + }, + { + "epoch": 0.84, + "learning_rate": 1.341823657986445e-05, + "loss": 0.7964, + "step": 4357 + }, + { + "epoch": 0.84, + "learning_rate": 1.338707674585945e-05, + "loss": 0.8162, + "step": 4358 + }, + { + "epoch": 0.84, + "learning_rate": 1.335595053797344e-05, + "loss": 0.8071, + "step": 4359 + }, + { + "epoch": 0.84, + "learning_rate": 1.332485796829065e-05, + "loss": 0.7834, + "step": 4360 + }, + { + "epoch": 0.84, + "learning_rate": 1.329379904888235e-05, + "loss": 0.8198, + "step": 4361 + }, + { + "epoch": 0.84, + "learning_rate": 1.3262773791806615e-05, + "loss": 0.7202, + "step": 4362 + }, + { + "epoch": 0.84, + "learning_rate": 1.3231782209108545e-05, + "loss": 0.8145, + "step": 4363 + }, + { + "epoch": 0.84, + "learning_rate": 1.3200824312820136e-05, + "loss": 0.7357, + "step": 4364 + }, + { + "epoch": 0.84, + "learning_rate": 1.3169900114960298e-05, + "loss": 0.7106, + "step": 4365 + }, + { + "epoch": 0.84, + "learning_rate": 1.3139009627534927e-05, + "loss": 0.7977, + "step": 4366 + }, + { + "epoch": 0.84, + "learning_rate": 1.3108152862536682e-05, + "loss": 0.8545, + "step": 4367 + }, + { + "epoch": 0.84, + "learning_rate": 1.3077329831945295e-05, + "loss": 0.7905, + "step": 4368 + }, + { + "epoch": 0.84, + "learning_rate": 1.3046540547727303e-05, + "loss": 0.7461, + "step": 4369 + }, + { + "epoch": 0.84, + "learning_rate": 1.3015785021836158e-05, + "loss": 0.7749, + "step": 4370 + }, + { + "epoch": 0.84, + "learning_rate": 1.2985063266212227e-05, + "loss": 0.7692, + "step": 4371 + }, + { + "epoch": 0.84, + "learning_rate": 1.295437529278275e-05, + "loss": 0.7552, + "step": 4372 + }, + { + "epoch": 0.84, + "learning_rate": 1.2923721113461851e-05, + "loss": 0.8066, + "step": 4373 + }, + { + "epoch": 0.84, + "learning_rate": 1.289310074015052e-05, + "loss": 0.7061, + "step": 4374 + }, + { + "epoch": 0.84, + "learning_rate": 1.2862514184736696e-05, + "loss": 0.7766, + "step": 4375 + }, + { + "epoch": 0.84, + "learning_rate": 1.2831961459095088e-05, + "loss": 0.7842, + "step": 4376 + }, + { + "epoch": 0.84, + "learning_rate": 1.2801442575087298e-05, + "loss": 0.7837, + "step": 4377 + }, + { + "epoch": 0.84, + "learning_rate": 1.2770957544561869e-05, + "loss": 0.7817, + "step": 4378 + }, + { + "epoch": 0.84, + "learning_rate": 1.2740506379354077e-05, + "loss": 0.7793, + "step": 4379 + }, + { + "epoch": 0.84, + "learning_rate": 1.2710089091286149e-05, + "loss": 0.7581, + "step": 4380 + }, + { + "epoch": 0.84, + "learning_rate": 1.267970569216712e-05, + "loss": 0.7651, + "step": 4381 + }, + { + "epoch": 0.84, + "learning_rate": 1.2649356193792872e-05, + "loss": 0.8281, + "step": 4382 + }, + { + "epoch": 0.84, + "learning_rate": 1.2619040607946119e-05, + "loss": 0.7913, + "step": 4383 + }, + { + "epoch": 0.84, + "learning_rate": 1.2588758946396418e-05, + "loss": 0.3526, + "step": 4384 + }, + { + "epoch": 0.84, + "learning_rate": 1.2558511220900138e-05, + "loss": 0.7686, + "step": 4385 + }, + { + "epoch": 0.84, + "learning_rate": 1.2528297443200488e-05, + "loss": 0.7959, + "step": 4386 + }, + { + "epoch": 0.84, + "learning_rate": 1.2498117625027561e-05, + "loss": 0.7908, + "step": 4387 + }, + { + "epoch": 0.84, + "learning_rate": 1.246797177809812e-05, + "loss": 0.7562, + "step": 4388 + }, + { + "epoch": 0.84, + "learning_rate": 1.2437859914115845e-05, + "loss": 0.7552, + "step": 4389 + }, + { + "epoch": 0.84, + "learning_rate": 1.2407782044771221e-05, + "loss": 0.7446, + "step": 4390 + }, + { + "epoch": 0.84, + "learning_rate": 1.237773818174146e-05, + "loss": 0.7405, + "step": 4391 + }, + { + "epoch": 0.84, + "learning_rate": 1.2347728336690701e-05, + "loss": 0.8118, + "step": 4392 + }, + { + "epoch": 0.85, + "learning_rate": 1.2317752521269722e-05, + "loss": 0.7507, + "step": 4393 + }, + { + "epoch": 0.85, + "learning_rate": 1.2287810747116224e-05, + "loss": 0.7151, + "step": 4394 + }, + { + "epoch": 0.85, + "learning_rate": 1.2257903025854612e-05, + "loss": 0.7986, + "step": 4395 + }, + { + "epoch": 0.85, + "learning_rate": 1.2228029369096094e-05, + "loss": 0.3524, + "step": 4396 + }, + { + "epoch": 0.85, + "learning_rate": 1.2198189788438651e-05, + "loss": 0.7202, + "step": 4397 + }, + { + "epoch": 0.85, + "learning_rate": 1.2168384295467038e-05, + "loss": 0.7498, + "step": 4398 + }, + { + "epoch": 0.85, + "learning_rate": 1.2138612901752777e-05, + "loss": 0.7668, + "step": 4399 + }, + { + "epoch": 0.85, + "learning_rate": 1.2108875618854121e-05, + "loss": 0.7045, + "step": 4400 + }, + { + "epoch": 0.85, + "learning_rate": 1.2079172458316168e-05, + "loss": 0.8176, + "step": 4401 + }, + { + "epoch": 0.85, + "learning_rate": 1.204950343167065e-05, + "loss": 0.8164, + "step": 4402 + }, + { + "epoch": 0.85, + "learning_rate": 1.2019868550436098e-05, + "loss": 0.3388, + "step": 4403 + }, + { + "epoch": 0.85, + "learning_rate": 1.1990267826117873e-05, + "loss": 0.7415, + "step": 4404 + }, + { + "epoch": 0.85, + "learning_rate": 1.1960701270207886e-05, + "loss": 0.7749, + "step": 4405 + }, + { + "epoch": 0.85, + "learning_rate": 1.1931168894184974e-05, + "loss": 0.7306, + "step": 4406 + }, + { + "epoch": 0.85, + "learning_rate": 1.19016707095146e-05, + "loss": 0.7487, + "step": 4407 + }, + { + "epoch": 0.85, + "learning_rate": 1.1872206727648972e-05, + "loss": 0.7981, + "step": 4408 + }, + { + "epoch": 0.85, + "learning_rate": 1.1842776960027013e-05, + "loss": 0.3087, + "step": 4409 + }, + { + "epoch": 0.85, + "learning_rate": 1.1813381418074388e-05, + "loss": 0.3427, + "step": 4410 + }, + { + "epoch": 0.85, + "learning_rate": 1.1784020113203454e-05, + "loss": 0.764, + "step": 4411 + }, + { + "epoch": 0.85, + "learning_rate": 1.175469305681327e-05, + "loss": 0.8457, + "step": 4412 + }, + { + "epoch": 0.85, + "learning_rate": 1.1725400260289621e-05, + "loss": 0.7843, + "step": 4413 + }, + { + "epoch": 0.85, + "learning_rate": 1.1696141735004939e-05, + "loss": 0.7506, + "step": 4414 + }, + { + "epoch": 0.85, + "learning_rate": 1.1666917492318485e-05, + "loss": 0.761, + "step": 4415 + }, + { + "epoch": 0.85, + "learning_rate": 1.1637727543576027e-05, + "loss": 0.7091, + "step": 4416 + }, + { + "epoch": 0.85, + "learning_rate": 1.160857190011012e-05, + "loss": 0.8002, + "step": 4417 + }, + { + "epoch": 0.85, + "learning_rate": 1.1579450573240058e-05, + "loss": 0.7839, + "step": 4418 + }, + { + "epoch": 0.85, + "learning_rate": 1.1550363574271639e-05, + "loss": 0.7869, + "step": 4419 + }, + { + "epoch": 0.85, + "learning_rate": 1.1521310914497519e-05, + "loss": 0.7493, + "step": 4420 + }, + { + "epoch": 0.85, + "learning_rate": 1.1492292605196907e-05, + "loss": 0.7908, + "step": 4421 + }, + { + "epoch": 0.85, + "learning_rate": 1.1463308657635719e-05, + "loss": 0.8169, + "step": 4422 + }, + { + "epoch": 0.85, + "learning_rate": 1.1434359083066515e-05, + "loss": 0.7795, + "step": 4423 + }, + { + "epoch": 0.85, + "learning_rate": 1.1405443892728528e-05, + "loss": 0.7944, + "step": 4424 + }, + { + "epoch": 0.85, + "learning_rate": 1.1376563097847614e-05, + "loss": 0.7615, + "step": 4425 + }, + { + "epoch": 0.85, + "learning_rate": 1.134771670963628e-05, + "loss": 0.7622, + "step": 4426 + }, + { + "epoch": 0.85, + "learning_rate": 1.1318904739293745e-05, + "loss": 0.771, + "step": 4427 + }, + { + "epoch": 0.85, + "learning_rate": 1.1290127198005752e-05, + "loss": 0.8018, + "step": 4428 + }, + { + "epoch": 0.85, + "learning_rate": 1.1261384096944727e-05, + "loss": 0.7234, + "step": 4429 + }, + { + "epoch": 0.85, + "learning_rate": 1.1232675447269803e-05, + "loss": 0.7551, + "step": 4430 + }, + { + "epoch": 0.85, + "learning_rate": 1.1204001260126574e-05, + "loss": 0.8152, + "step": 4431 + }, + { + "epoch": 0.85, + "learning_rate": 1.1175361546647412e-05, + "loss": 0.776, + "step": 4432 + }, + { + "epoch": 0.85, + "learning_rate": 1.1146756317951224e-05, + "loss": 0.7993, + "step": 4433 + }, + { + "epoch": 0.85, + "learning_rate": 1.1118185585143537e-05, + "loss": 0.8242, + "step": 4434 + }, + { + "epoch": 0.85, + "learning_rate": 1.1089649359316501e-05, + "loss": 0.759, + "step": 4435 + }, + { + "epoch": 0.85, + "learning_rate": 1.1061147651548853e-05, + "loss": 0.8242, + "step": 4436 + }, + { + "epoch": 0.85, + "learning_rate": 1.1032680472905932e-05, + "loss": 0.8384, + "step": 4437 + }, + { + "epoch": 0.85, + "learning_rate": 1.1004247834439696e-05, + "loss": 0.7522, + "step": 4438 + }, + { + "epoch": 0.85, + "learning_rate": 1.097584974718866e-05, + "loss": 0.3083, + "step": 4439 + }, + { + "epoch": 0.85, + "learning_rate": 1.0947486222177928e-05, + "loss": 0.7615, + "step": 4440 + }, + { + "epoch": 0.85, + "learning_rate": 1.0919157270419256e-05, + "loss": 0.3311, + "step": 4441 + }, + { + "epoch": 0.85, + "learning_rate": 1.0890862902910847e-05, + "loss": 0.7368, + "step": 4442 + }, + { + "epoch": 0.85, + "learning_rate": 1.0862603130637561e-05, + "loss": 0.7578, + "step": 4443 + }, + { + "epoch": 0.85, + "learning_rate": 1.0834377964570864e-05, + "loss": 0.8049, + "step": 4444 + }, + { + "epoch": 0.86, + "learning_rate": 1.0806187415668667e-05, + "loss": 0.7689, + "step": 4445 + }, + { + "epoch": 0.86, + "learning_rate": 1.0778031494875573e-05, + "loss": 0.8291, + "step": 4446 + }, + { + "epoch": 0.86, + "learning_rate": 1.0749910213122649e-05, + "loss": 0.7532, + "step": 4447 + }, + { + "epoch": 0.86, + "learning_rate": 1.072182358132755e-05, + "loss": 0.8252, + "step": 4448 + }, + { + "epoch": 0.86, + "learning_rate": 1.0693771610394476e-05, + "loss": 0.7283, + "step": 4449 + }, + { + "epoch": 0.86, + "learning_rate": 1.0665754311214172e-05, + "loss": 0.7886, + "step": 4450 + }, + { + "epoch": 0.86, + "learning_rate": 1.0637771694663901e-05, + "loss": 0.7578, + "step": 4451 + }, + { + "epoch": 0.86, + "learning_rate": 1.0609823771607485e-05, + "loss": 0.803, + "step": 4452 + }, + { + "epoch": 0.86, + "learning_rate": 1.0581910552895302e-05, + "loss": 0.8477, + "step": 4453 + }, + { + "epoch": 0.86, + "learning_rate": 1.055403204936416e-05, + "loss": 0.7466, + "step": 4454 + }, + { + "epoch": 0.86, + "learning_rate": 1.0526188271837511e-05, + "loss": 0.8123, + "step": 4455 + }, + { + "epoch": 0.86, + "learning_rate": 1.0498379231125278e-05, + "loss": 0.7988, + "step": 4456 + }, + { + "epoch": 0.86, + "learning_rate": 1.0470604938023808e-05, + "loss": 0.7147, + "step": 4457 + }, + { + "epoch": 0.86, + "learning_rate": 1.0442865403316116e-05, + "loss": 0.7856, + "step": 4458 + }, + { + "epoch": 0.86, + "learning_rate": 1.0415160637771603e-05, + "loss": 0.7488, + "step": 4459 + }, + { + "epoch": 0.86, + "learning_rate": 1.0387490652146237e-05, + "loss": 0.762, + "step": 4460 + }, + { + "epoch": 0.86, + "learning_rate": 1.0359855457182454e-05, + "loss": 0.7842, + "step": 4461 + }, + { + "epoch": 0.86, + "learning_rate": 1.0332255063609175e-05, + "loss": 0.7979, + "step": 4462 + }, + { + "epoch": 0.86, + "learning_rate": 1.0304689482141838e-05, + "loss": 0.79, + "step": 4463 + }, + { + "epoch": 0.86, + "learning_rate": 1.0277158723482339e-05, + "loss": 0.7632, + "step": 4464 + }, + { + "epoch": 0.86, + "learning_rate": 1.024966279831907e-05, + "loss": 0.8223, + "step": 4465 + }, + { + "epoch": 0.86, + "learning_rate": 1.0222201717326885e-05, + "loss": 0.3219, + "step": 4466 + }, + { + "epoch": 0.86, + "learning_rate": 1.0194775491167163e-05, + "loss": 0.7981, + "step": 4467 + }, + { + "epoch": 0.86, + "learning_rate": 1.0167384130487667e-05, + "loss": 0.8192, + "step": 4468 + }, + { + "epoch": 0.86, + "learning_rate": 1.0140027645922657e-05, + "loss": 0.8669, + "step": 4469 + }, + { + "epoch": 0.86, + "learning_rate": 1.0112706048092923e-05, + "loss": 0.7808, + "step": 4470 + }, + { + "epoch": 0.86, + "learning_rate": 1.0085419347605574e-05, + "loss": 0.8054, + "step": 4471 + }, + { + "epoch": 0.86, + "learning_rate": 1.0058167555054298e-05, + "loss": 0.7107, + "step": 4472 + }, + { + "epoch": 0.86, + "learning_rate": 1.003095068101917e-05, + "loss": 0.7448, + "step": 4473 + }, + { + "epoch": 0.86, + "learning_rate": 1.0003768736066722e-05, + "loss": 0.7783, + "step": 4474 + }, + { + "epoch": 0.86, + "learning_rate": 9.97662173074989e-06, + "loss": 0.7949, + "step": 4475 + }, + { + "epoch": 0.86, + "learning_rate": 9.949509675608115e-06, + "loss": 0.8013, + "step": 4476 + }, + { + "epoch": 0.86, + "learning_rate": 9.922432581167207e-06, + "loss": 0.7205, + "step": 4477 + }, + { + "epoch": 0.86, + "learning_rate": 9.895390457939413e-06, + "loss": 0.7418, + "step": 4478 + }, + { + "epoch": 0.86, + "learning_rate": 9.86838331642348e-06, + "loss": 0.8577, + "step": 4479 + }, + { + "epoch": 0.86, + "learning_rate": 9.84141116710442e-06, + "loss": 0.7704, + "step": 4480 + }, + { + "epoch": 0.86, + "learning_rate": 9.814474020453822e-06, + "loss": 0.7988, + "step": 4481 + }, + { + "epoch": 0.86, + "learning_rate": 9.787571886929603e-06, + "loss": 0.8398, + "step": 4482 + }, + { + "epoch": 0.86, + "learning_rate": 9.760704776976049e-06, + "loss": 0.765, + "step": 4483 + }, + { + "epoch": 0.86, + "learning_rate": 9.733872701023939e-06, + "loss": 0.7759, + "step": 4484 + }, + { + "epoch": 0.86, + "learning_rate": 9.707075669490407e-06, + "loss": 0.8267, + "step": 4485 + }, + { + "epoch": 0.86, + "learning_rate": 9.680313692778974e-06, + "loss": 0.8201, + "step": 4486 + }, + { + "epoch": 0.86, + "learning_rate": 9.653586781279567e-06, + "loss": 0.7376, + "step": 4487 + }, + { + "epoch": 0.86, + "learning_rate": 9.626894945368491e-06, + "loss": 0.7394, + "step": 4488 + }, + { + "epoch": 0.86, + "learning_rate": 9.600238195408428e-06, + "loss": 0.821, + "step": 4489 + }, + { + "epoch": 0.86, + "learning_rate": 9.573616541748464e-06, + "loss": 0.7483, + "step": 4490 + }, + { + "epoch": 0.86, + "learning_rate": 9.547029994724022e-06, + "loss": 0.7825, + "step": 4491 + }, + { + "epoch": 0.86, + "learning_rate": 9.520478564656899e-06, + "loss": 0.7587, + "step": 4492 + }, + { + "epoch": 0.86, + "learning_rate": 9.493962261855349e-06, + "loss": 0.8071, + "step": 4493 + }, + { + "epoch": 0.86, + "learning_rate": 9.467481096613828e-06, + "loss": 0.3455, + "step": 4494 + }, + { + "epoch": 0.86, + "learning_rate": 9.441035079213267e-06, + "loss": 0.7484, + "step": 4495 + }, + { + "epoch": 0.86, + "learning_rate": 9.414624219920953e-06, + "loss": 0.8197, + "step": 4496 + }, + { + "epoch": 0.87, + "learning_rate": 9.388248528990428e-06, + "loss": 0.802, + "step": 4497 + }, + { + "epoch": 0.87, + "learning_rate": 9.361908016661702e-06, + "loss": 0.7419, + "step": 4498 + }, + { + "epoch": 0.87, + "learning_rate": 9.335602693161038e-06, + "loss": 0.8132, + "step": 4499 + }, + { + "epoch": 0.87, + "learning_rate": 9.309332568701079e-06, + "loss": 0.769, + "step": 4500 + }, + { + "epoch": 0.87, + "learning_rate": 9.283097653480789e-06, + "loss": 0.7462, + "step": 4501 + }, + { + "epoch": 0.87, + "learning_rate": 9.256897957685462e-06, + "loss": 0.7539, + "step": 4502 + }, + { + "epoch": 0.87, + "learning_rate": 9.23073349148672e-06, + "loss": 0.7788, + "step": 4503 + }, + { + "epoch": 0.87, + "learning_rate": 9.204604265042505e-06, + "loss": 0.7947, + "step": 4504 + }, + { + "epoch": 0.87, + "learning_rate": 9.178510288497122e-06, + "loss": 0.7648, + "step": 4505 + }, + { + "epoch": 0.87, + "learning_rate": 9.15245157198108e-06, + "loss": 0.8047, + "step": 4506 + }, + { + "epoch": 0.87, + "learning_rate": 9.126428125611342e-06, + "loss": 0.7848, + "step": 4507 + }, + { + "epoch": 0.87, + "learning_rate": 9.10043995949108e-06, + "loss": 0.3264, + "step": 4508 + }, + { + "epoch": 0.87, + "learning_rate": 9.07448708370976e-06, + "loss": 0.7969, + "step": 4509 + }, + { + "epoch": 0.87, + "learning_rate": 9.04856950834323e-06, + "loss": 0.7373, + "step": 4510 + }, + { + "epoch": 0.87, + "learning_rate": 9.022687243453554e-06, + "loss": 0.7377, + "step": 4511 + }, + { + "epoch": 0.87, + "learning_rate": 8.996840299089149e-06, + "loss": 0.7805, + "step": 4512 + }, + { + "epoch": 0.87, + "learning_rate": 8.971028685284655e-06, + "loss": 0.8047, + "step": 4513 + }, + { + "epoch": 0.87, + "learning_rate": 8.945252412061055e-06, + "loss": 0.7386, + "step": 4514 + }, + { + "epoch": 0.87, + "learning_rate": 8.91951148942557e-06, + "loss": 0.8218, + "step": 4515 + }, + { + "epoch": 0.87, + "learning_rate": 8.893805927371723e-06, + "loss": 0.7781, + "step": 4516 + }, + { + "epoch": 0.87, + "learning_rate": 8.86813573587929e-06, + "loss": 0.7234, + "step": 4517 + }, + { + "epoch": 0.87, + "learning_rate": 8.842500924914298e-06, + "loss": 0.7461, + "step": 4518 + }, + { + "epoch": 0.87, + "learning_rate": 8.816901504429143e-06, + "loss": 0.7644, + "step": 4519 + }, + { + "epoch": 0.87, + "learning_rate": 8.791337484362306e-06, + "loss": 0.7496, + "step": 4520 + }, + { + "epoch": 0.87, + "learning_rate": 8.765808874638681e-06, + "loss": 0.708, + "step": 4521 + }, + { + "epoch": 0.87, + "learning_rate": 8.740315685169365e-06, + "loss": 0.7319, + "step": 4522 + }, + { + "epoch": 0.87, + "learning_rate": 8.714857925851615e-06, + "loss": 0.7576, + "step": 4523 + }, + { + "epoch": 0.87, + "learning_rate": 8.689435606569085e-06, + "loss": 0.7776, + "step": 4524 + }, + { + "epoch": 0.87, + "learning_rate": 8.664048737191566e-06, + "loss": 0.793, + "step": 4525 + }, + { + "epoch": 0.87, + "learning_rate": 8.638697327575108e-06, + "loss": 0.7642, + "step": 4526 + }, + { + "epoch": 0.87, + "learning_rate": 8.613381387562015e-06, + "loss": 0.7407, + "step": 4527 + }, + { + "epoch": 0.87, + "learning_rate": 8.588100926980802e-06, + "loss": 0.7993, + "step": 4528 + }, + { + "epoch": 0.87, + "learning_rate": 8.56285595564621e-06, + "loss": 0.745, + "step": 4529 + }, + { + "epoch": 0.87, + "learning_rate": 8.537646483359186e-06, + "loss": 0.7762, + "step": 4530 + }, + { + "epoch": 0.87, + "learning_rate": 8.512472519906978e-06, + "loss": 0.7452, + "step": 4531 + }, + { + "epoch": 0.87, + "learning_rate": 8.487334075062913e-06, + "loss": 0.7571, + "step": 4532 + }, + { + "epoch": 0.87, + "learning_rate": 8.462231158586653e-06, + "loss": 0.8105, + "step": 4533 + }, + { + "epoch": 0.87, + "learning_rate": 8.437163780224011e-06, + "loss": 0.7367, + "step": 4534 + }, + { + "epoch": 0.87, + "learning_rate": 8.41213194970696e-06, + "loss": 0.8618, + "step": 4535 + }, + { + "epoch": 0.87, + "learning_rate": 8.387135676753755e-06, + "loss": 0.7753, + "step": 4536 + }, + { + "epoch": 0.87, + "learning_rate": 8.362174971068803e-06, + "loss": 0.7225, + "step": 4537 + }, + { + "epoch": 0.87, + "learning_rate": 8.33724984234272e-06, + "loss": 0.7915, + "step": 4538 + }, + { + "epoch": 0.87, + "learning_rate": 8.312360300252286e-06, + "loss": 0.7771, + "step": 4539 + }, + { + "epoch": 0.87, + "learning_rate": 8.287506354460484e-06, + "loss": 0.7949, + "step": 4540 + }, + { + "epoch": 0.87, + "learning_rate": 8.26268801461646e-06, + "loss": 0.7825, + "step": 4541 + }, + { + "epoch": 0.87, + "learning_rate": 8.237905290355564e-06, + "loss": 0.7937, + "step": 4542 + }, + { + "epoch": 0.87, + "learning_rate": 8.213158191299297e-06, + "loss": 0.7776, + "step": 4543 + }, + { + "epoch": 0.87, + "learning_rate": 8.18844672705531e-06, + "loss": 0.8062, + "step": 4544 + }, + { + "epoch": 0.87, + "learning_rate": 8.163770907217505e-06, + "loss": 0.7307, + "step": 4545 + }, + { + "epoch": 0.87, + "learning_rate": 8.13913074136582e-06, + "loss": 0.7646, + "step": 4546 + }, + { + "epoch": 0.87, + "learning_rate": 8.114526239066455e-06, + "loss": 0.7107, + "step": 4547 + }, + { + "epoch": 0.87, + "learning_rate": 8.08995740987173e-06, + "loss": 0.7983, + "step": 4548 + }, + { + "epoch": 0.88, + "learning_rate": 8.065424263320054e-06, + "loss": 0.7571, + "step": 4549 + }, + { + "epoch": 0.88, + "learning_rate": 8.040926808936111e-06, + "loss": 0.8142, + "step": 4550 + }, + { + "epoch": 0.88, + "learning_rate": 8.016465056230615e-06, + "loss": 0.7915, + "step": 4551 + }, + { + "epoch": 0.88, + "learning_rate": 7.99203901470047e-06, + "loss": 0.823, + "step": 4552 + }, + { + "epoch": 0.88, + "learning_rate": 7.967648693828712e-06, + "loss": 0.731, + "step": 4553 + }, + { + "epoch": 0.88, + "learning_rate": 7.943294103084487e-06, + "loss": 0.7266, + "step": 4554 + }, + { + "epoch": 0.88, + "learning_rate": 7.918975251923099e-06, + "loss": 0.8115, + "step": 4555 + }, + { + "epoch": 0.88, + "learning_rate": 7.894692149785954e-06, + "loss": 0.7729, + "step": 4556 + }, + { + "epoch": 0.88, + "learning_rate": 7.87044480610062e-06, + "loss": 0.772, + "step": 4557 + }, + { + "epoch": 0.88, + "learning_rate": 7.846233230280697e-06, + "loss": 0.814, + "step": 4558 + }, + { + "epoch": 0.88, + "learning_rate": 7.822057431725993e-06, + "loss": 0.7683, + "step": 4559 + }, + { + "epoch": 0.88, + "learning_rate": 7.797917419822375e-06, + "loss": 0.7664, + "step": 4560 + }, + { + "epoch": 0.88, + "learning_rate": 7.773813203941826e-06, + "loss": 0.7852, + "step": 4561 + }, + { + "epoch": 0.88, + "learning_rate": 7.749744793442448e-06, + "loss": 0.802, + "step": 4562 + }, + { + "epoch": 0.88, + "learning_rate": 7.725712197668378e-06, + "loss": 0.709, + "step": 4563 + }, + { + "epoch": 0.88, + "learning_rate": 7.70171542594995e-06, + "loss": 0.7339, + "step": 4564 + }, + { + "epoch": 0.88, + "learning_rate": 7.677754487603517e-06, + "loss": 0.811, + "step": 4565 + }, + { + "epoch": 0.88, + "learning_rate": 7.653829391931534e-06, + "loss": 0.8171, + "step": 4566 + }, + { + "epoch": 0.88, + "learning_rate": 7.629940148222559e-06, + "loss": 0.7976, + "step": 4567 + }, + { + "epoch": 0.88, + "learning_rate": 7.606086765751208e-06, + "loss": 0.7964, + "step": 4568 + }, + { + "epoch": 0.88, + "learning_rate": 7.582269253778185e-06, + "loss": 0.3368, + "step": 4569 + }, + { + "epoch": 0.88, + "learning_rate": 7.5584876215502695e-06, + "loss": 0.7795, + "step": 4570 + }, + { + "epoch": 0.88, + "learning_rate": 7.534741878300333e-06, + "loss": 0.7898, + "step": 4571 + }, + { + "epoch": 0.88, + "learning_rate": 7.511032033247256e-06, + "loss": 0.8081, + "step": 4572 + }, + { + "epoch": 0.88, + "learning_rate": 7.487358095596031e-06, + "loss": 0.8264, + "step": 4573 + }, + { + "epoch": 0.88, + "learning_rate": 7.463720074537728e-06, + "loss": 0.7793, + "step": 4574 + }, + { + "epoch": 0.88, + "learning_rate": 7.440117979249362e-06, + "loss": 0.7545, + "step": 4575 + }, + { + "epoch": 0.88, + "learning_rate": 7.416551818894157e-06, + "loss": 0.7615, + "step": 4576 + }, + { + "epoch": 0.88, + "learning_rate": 7.393021602621264e-06, + "loss": 0.7864, + "step": 4577 + }, + { + "epoch": 0.88, + "learning_rate": 7.3695273395659515e-06, + "loss": 0.7694, + "step": 4578 + }, + { + "epoch": 0.88, + "learning_rate": 7.346069038849468e-06, + "loss": 0.8049, + "step": 4579 + }, + { + "epoch": 0.88, + "learning_rate": 7.322646709579173e-06, + "loss": 0.7684, + "step": 4580 + }, + { + "epoch": 0.88, + "learning_rate": 7.299260360848381e-06, + "loss": 0.7485, + "step": 4581 + }, + { + "epoch": 0.88, + "learning_rate": 7.275910001736497e-06, + "loss": 0.7576, + "step": 4582 + }, + { + "epoch": 0.88, + "learning_rate": 7.2525956413089565e-06, + "loss": 0.8342, + "step": 4583 + }, + { + "epoch": 0.88, + "learning_rate": 7.2293172886171435e-06, + "loss": 0.7864, + "step": 4584 + }, + { + "epoch": 0.88, + "learning_rate": 7.206074952698561e-06, + "loss": 0.73, + "step": 4585 + }, + { + "epoch": 0.88, + "learning_rate": 7.1828686425766785e-06, + "loss": 0.7749, + "step": 4586 + }, + { + "epoch": 0.88, + "learning_rate": 7.15969836726097e-06, + "loss": 0.8145, + "step": 4587 + }, + { + "epoch": 0.88, + "learning_rate": 7.136564135746959e-06, + "loss": 0.8464, + "step": 4588 + }, + { + "epoch": 0.88, + "learning_rate": 7.113465957016097e-06, + "loss": 0.8286, + "step": 4589 + }, + { + "epoch": 0.88, + "learning_rate": 7.090403840035942e-06, + "loss": 0.7991, + "step": 4590 + }, + { + "epoch": 0.88, + "learning_rate": 7.067377793759999e-06, + "loss": 0.8081, + "step": 4591 + }, + { + "epoch": 0.88, + "learning_rate": 7.044387827127752e-06, + "loss": 0.7856, + "step": 4592 + }, + { + "epoch": 0.88, + "learning_rate": 7.0214339490647045e-06, + "loss": 0.7349, + "step": 4593 + }, + { + "epoch": 0.88, + "learning_rate": 6.99851616848235e-06, + "loss": 0.7383, + "step": 4594 + }, + { + "epoch": 0.88, + "learning_rate": 6.975634494278149e-06, + "loss": 0.7727, + "step": 4595 + }, + { + "epoch": 0.88, + "learning_rate": 6.952788935335541e-06, + "loss": 0.7837, + "step": 4596 + }, + { + "epoch": 0.88, + "learning_rate": 6.92997950052402e-06, + "loss": 0.8169, + "step": 4597 + }, + { + "epoch": 0.88, + "learning_rate": 6.907206198698913e-06, + "loss": 0.7615, + "step": 4598 + }, + { + "epoch": 0.88, + "learning_rate": 6.884469038701646e-06, + "loss": 0.7111, + "step": 4599 + }, + { + "epoch": 0.88, + "learning_rate": 6.861768029359594e-06, + "loss": 0.7769, + "step": 4600 + }, + { + "epoch": 0.89, + "learning_rate": 6.839103179485995e-06, + "loss": 0.7751, + "step": 4601 + }, + { + "epoch": 0.89, + "learning_rate": 6.8164744978801765e-06, + "loss": 0.7847, + "step": 4602 + }, + { + "epoch": 0.89, + "learning_rate": 6.793881993327367e-06, + "loss": 0.3654, + "step": 4603 + }, + { + "epoch": 0.89, + "learning_rate": 6.771325674598749e-06, + "loss": 0.7515, + "step": 4604 + }, + { + "epoch": 0.89, + "learning_rate": 6.748805550451454e-06, + "loss": 0.7769, + "step": 4605 + }, + { + "epoch": 0.89, + "learning_rate": 6.726321629628585e-06, + "loss": 0.7976, + "step": 4606 + }, + { + "epoch": 0.89, + "learning_rate": 6.7038739208591605e-06, + "loss": 0.7784, + "step": 4607 + }, + { + "epoch": 0.89, + "learning_rate": 6.681462432858154e-06, + "loss": 0.7815, + "step": 4608 + }, + { + "epoch": 0.89, + "learning_rate": 6.659087174326506e-06, + "loss": 0.7739, + "step": 4609 + }, + { + "epoch": 0.89, + "learning_rate": 6.636748153951e-06, + "loss": 0.6846, + "step": 4610 + }, + { + "epoch": 0.89, + "learning_rate": 6.614445380404477e-06, + "loss": 0.7903, + "step": 4611 + }, + { + "epoch": 0.89, + "learning_rate": 6.5921788623456216e-06, + "loss": 0.7742, + "step": 4612 + }, + { + "epoch": 0.89, + "learning_rate": 6.569948608419041e-06, + "loss": 0.7812, + "step": 4613 + }, + { + "epoch": 0.89, + "learning_rate": 6.547754627255331e-06, + "loss": 0.6932, + "step": 4614 + }, + { + "epoch": 0.89, + "learning_rate": 6.5255969274708896e-06, + "loss": 0.7206, + "step": 4615 + }, + { + "epoch": 0.89, + "learning_rate": 6.503475517668167e-06, + "loss": 0.7928, + "step": 4616 + }, + { + "epoch": 0.89, + "learning_rate": 6.481390406435417e-06, + "loss": 0.7852, + "step": 4617 + }, + { + "epoch": 0.89, + "learning_rate": 6.4593416023468575e-06, + "loss": 0.7405, + "step": 4618 + }, + { + "epoch": 0.89, + "learning_rate": 6.437329113962576e-06, + "loss": 0.7266, + "step": 4619 + }, + { + "epoch": 0.89, + "learning_rate": 6.4153529498286014e-06, + "loss": 0.7476, + "step": 4620 + }, + { + "epoch": 0.89, + "learning_rate": 6.393413118476821e-06, + "loss": 0.7944, + "step": 4621 + }, + { + "epoch": 0.89, + "learning_rate": 6.3715096284250205e-06, + "loss": 0.7537, + "step": 4622 + }, + { + "epoch": 0.89, + "learning_rate": 6.349642488176944e-06, + "loss": 0.8088, + "step": 4623 + }, + { + "epoch": 0.89, + "learning_rate": 6.327811706222098e-06, + "loss": 0.7468, + "step": 4624 + }, + { + "epoch": 0.89, + "learning_rate": 6.3060172910359815e-06, + "loss": 0.7888, + "step": 4625 + }, + { + "epoch": 0.89, + "learning_rate": 6.284259251079938e-06, + "loss": 0.77, + "step": 4626 + }, + { + "epoch": 0.89, + "learning_rate": 6.262537594801177e-06, + "loss": 0.7981, + "step": 4627 + }, + { + "epoch": 0.89, + "learning_rate": 6.240852330632796e-06, + "loss": 0.8088, + "step": 4628 + }, + { + "epoch": 0.89, + "learning_rate": 6.219203466993761e-06, + "loss": 0.7566, + "step": 4629 + }, + { + "epoch": 0.89, + "learning_rate": 6.197591012288917e-06, + "loss": 0.7559, + "step": 4630 + }, + { + "epoch": 0.89, + "learning_rate": 6.17601497490895e-06, + "loss": 0.327, + "step": 4631 + }, + { + "epoch": 0.89, + "learning_rate": 6.1544753632304165e-06, + "loss": 0.7954, + "step": 4632 + }, + { + "epoch": 0.89, + "learning_rate": 6.132972185615749e-06, + "loss": 0.7605, + "step": 4633 + }, + { + "epoch": 0.89, + "learning_rate": 6.111505450413202e-06, + "loss": 0.7878, + "step": 4634 + }, + { + "epoch": 0.89, + "learning_rate": 6.090075165956943e-06, + "loss": 0.8472, + "step": 4635 + }, + { + "epoch": 0.89, + "learning_rate": 6.068681340566895e-06, + "loss": 0.7593, + "step": 4636 + }, + { + "epoch": 0.89, + "learning_rate": 6.0473239825489244e-06, + "loss": 0.3577, + "step": 4637 + }, + { + "epoch": 0.89, + "learning_rate": 6.026003100194632e-06, + "loss": 0.7754, + "step": 4638 + }, + { + "epoch": 0.89, + "learning_rate": 6.004718701781575e-06, + "loss": 0.7612, + "step": 4639 + }, + { + "epoch": 0.89, + "learning_rate": 5.983470795573088e-06, + "loss": 0.7749, + "step": 4640 + }, + { + "epoch": 0.89, + "learning_rate": 5.962259389818292e-06, + "loss": 0.7812, + "step": 4641 + }, + { + "epoch": 0.89, + "learning_rate": 5.941084492752235e-06, + "loss": 0.7568, + "step": 4642 + }, + { + "epoch": 0.89, + "learning_rate": 5.91994611259572e-06, + "loss": 0.7727, + "step": 4643 + }, + { + "epoch": 0.89, + "learning_rate": 5.898844257555391e-06, + "loss": 0.748, + "step": 4644 + }, + { + "epoch": 0.89, + "learning_rate": 5.877778935823719e-06, + "loss": 0.7429, + "step": 4645 + }, + { + "epoch": 0.89, + "learning_rate": 5.856750155578983e-06, + "loss": 0.7354, + "step": 4646 + }, + { + "epoch": 0.89, + "learning_rate": 5.835757924985286e-06, + "loss": 0.7437, + "step": 4647 + }, + { + "epoch": 0.89, + "learning_rate": 5.8148022521925195e-06, + "loss": 0.7659, + "step": 4648 + }, + { + "epoch": 0.89, + "learning_rate": 5.793883145336443e-06, + "loss": 0.7704, + "step": 4649 + }, + { + "epoch": 0.89, + "learning_rate": 5.773000612538504e-06, + "loss": 0.7341, + "step": 4650 + }, + { + "epoch": 0.89, + "learning_rate": 5.752154661906084e-06, + "loss": 0.7478, + "step": 4651 + }, + { + "epoch": 0.89, + "learning_rate": 5.731345301532265e-06, + "loss": 0.7958, + "step": 4652 + }, + { + "epoch": 0.9, + "learning_rate": 5.710572539495962e-06, + "loss": 0.7898, + "step": 4653 + }, + { + "epoch": 0.9, + "learning_rate": 5.689836383861879e-06, + "loss": 0.8379, + "step": 4654 + }, + { + "epoch": 0.9, + "learning_rate": 5.6691368426805114e-06, + "loss": 0.8046, + "step": 4655 + }, + { + "epoch": 0.9, + "learning_rate": 5.648473923988129e-06, + "loss": 0.8228, + "step": 4656 + }, + { + "epoch": 0.9, + "learning_rate": 5.627847635806771e-06, + "loss": 0.7977, + "step": 4657 + }, + { + "epoch": 0.9, + "learning_rate": 5.607257986144321e-06, + "loss": 0.7683, + "step": 4658 + }, + { + "epoch": 0.9, + "learning_rate": 5.5867049829943395e-06, + "loss": 0.8079, + "step": 4659 + }, + { + "epoch": 0.9, + "learning_rate": 5.566188634336211e-06, + "loss": 0.7593, + "step": 4660 + }, + { + "epoch": 0.9, + "learning_rate": 5.545708948135142e-06, + "loss": 0.7566, + "step": 4661 + }, + { + "epoch": 0.9, + "learning_rate": 5.525265932341983e-06, + "loss": 0.3291, + "step": 4662 + }, + { + "epoch": 0.9, + "learning_rate": 5.504859594893474e-06, + "loss": 0.8025, + "step": 4663 + }, + { + "epoch": 0.9, + "learning_rate": 5.484489943712012e-06, + "loss": 0.7993, + "step": 4664 + }, + { + "epoch": 0.9, + "learning_rate": 5.464156986705826e-06, + "loss": 0.7981, + "step": 4665 + }, + { + "epoch": 0.9, + "learning_rate": 5.443860731768868e-06, + "loss": 0.7957, + "step": 4666 + }, + { + "epoch": 0.9, + "learning_rate": 5.4236011867808355e-06, + "loss": 0.769, + "step": 4667 + }, + { + "epoch": 0.9, + "learning_rate": 5.403378359607181e-06, + "loss": 0.8003, + "step": 4668 + }, + { + "epoch": 0.9, + "learning_rate": 5.383192258099112e-06, + "loss": 0.8091, + "step": 4669 + }, + { + "epoch": 0.9, + "learning_rate": 5.36304289009355e-06, + "loss": 0.7163, + "step": 4670 + }, + { + "epoch": 0.9, + "learning_rate": 5.342930263413193e-06, + "loss": 0.7603, + "step": 4671 + }, + { + "epoch": 0.9, + "learning_rate": 5.322854385866438e-06, + "loss": 0.7562, + "step": 4672 + }, + { + "epoch": 0.9, + "learning_rate": 5.3028152652474514e-06, + "loss": 0.8313, + "step": 4673 + }, + { + "epoch": 0.9, + "learning_rate": 5.282812909336077e-06, + "loss": 0.7097, + "step": 4674 + }, + { + "epoch": 0.9, + "learning_rate": 5.262847325897968e-06, + "loss": 0.7324, + "step": 4675 + }, + { + "epoch": 0.9, + "learning_rate": 5.242918522684393e-06, + "loss": 0.7766, + "step": 4676 + }, + { + "epoch": 0.9, + "learning_rate": 5.223026507432449e-06, + "loss": 0.8008, + "step": 4677 + }, + { + "epoch": 0.9, + "learning_rate": 5.203171287864872e-06, + "loss": 0.7158, + "step": 4678 + }, + { + "epoch": 0.9, + "learning_rate": 5.183352871690162e-06, + "loss": 0.7524, + "step": 4679 + }, + { + "epoch": 0.9, + "learning_rate": 5.163571266602485e-06, + "loss": 0.7294, + "step": 4680 + }, + { + "epoch": 0.9, + "learning_rate": 5.143826480281777e-06, + "loss": 0.8212, + "step": 4681 + }, + { + "epoch": 0.9, + "learning_rate": 5.124118520393606e-06, + "loss": 0.7896, + "step": 4682 + }, + { + "epoch": 0.9, + "learning_rate": 5.104447394589296e-06, + "loss": 0.7261, + "step": 4683 + }, + { + "epoch": 0.9, + "learning_rate": 5.0848131105058704e-06, + "loss": 0.7137, + "step": 4684 + }, + { + "epoch": 0.9, + "learning_rate": 5.0652156757660215e-06, + "loss": 0.3505, + "step": 4685 + }, + { + "epoch": 0.9, + "learning_rate": 5.045655097978131e-06, + "loss": 0.7944, + "step": 4686 + }, + { + "epoch": 0.9, + "learning_rate": 5.026131384736321e-06, + "loss": 0.3222, + "step": 4687 + }, + { + "epoch": 0.9, + "learning_rate": 5.006644543620342e-06, + "loss": 0.7357, + "step": 4688 + }, + { + "epoch": 0.9, + "learning_rate": 4.987194582195687e-06, + "loss": 0.803, + "step": 4689 + }, + { + "epoch": 0.9, + "learning_rate": 4.967781508013458e-06, + "loss": 0.7467, + "step": 4690 + }, + { + "epoch": 0.9, + "learning_rate": 4.9484053286105055e-06, + "loss": 0.3115, + "step": 4691 + }, + { + "epoch": 0.9, + "learning_rate": 4.929066051509346e-06, + "loss": 0.7791, + "step": 4692 + }, + { + "epoch": 0.9, + "learning_rate": 4.909763684218116e-06, + "loss": 0.7321, + "step": 4693 + }, + { + "epoch": 0.9, + "learning_rate": 4.89049823423069e-06, + "loss": 0.7837, + "step": 4694 + }, + { + "epoch": 0.9, + "learning_rate": 4.87126970902656e-06, + "loss": 0.7516, + "step": 4695 + }, + { + "epoch": 0.9, + "learning_rate": 4.852078116070902e-06, + "loss": 0.764, + "step": 4696 + }, + { + "epoch": 0.9, + "learning_rate": 4.832923462814565e-06, + "loss": 0.7484, + "step": 4697 + }, + { + "epoch": 0.9, + "learning_rate": 4.813805756694034e-06, + "loss": 0.7488, + "step": 4698 + }, + { + "epoch": 0.9, + "learning_rate": 4.794725005131462e-06, + "loss": 0.7523, + "step": 4699 + }, + { + "epoch": 0.9, + "learning_rate": 4.775681215534656e-06, + "loss": 0.7932, + "step": 4700 + }, + { + "epoch": 0.9, + "learning_rate": 4.756674395297089e-06, + "loss": 0.7593, + "step": 4701 + }, + { + "epoch": 0.9, + "learning_rate": 4.737704551797817e-06, + "loss": 0.7988, + "step": 4702 + }, + { + "epoch": 0.9, + "learning_rate": 4.718771692401636e-06, + "loss": 0.3347, + "step": 4703 + }, + { + "epoch": 0.9, + "learning_rate": 4.699875824458899e-06, + "loss": 0.8103, + "step": 4704 + }, + { + "epoch": 0.91, + "learning_rate": 4.6810169553056615e-06, + "loss": 0.8154, + "step": 4705 + }, + { + "epoch": 0.91, + "learning_rate": 4.662195092263566e-06, + "loss": 0.7192, + "step": 4706 + }, + { + "epoch": 0.91, + "learning_rate": 4.643410242639911e-06, + "loss": 0.3193, + "step": 4707 + }, + { + "epoch": 0.91, + "learning_rate": 4.624662413727621e-06, + "loss": 0.7522, + "step": 4708 + }, + { + "epoch": 0.91, + "learning_rate": 4.605951612805237e-06, + "loss": 0.7646, + "step": 4709 + }, + { + "epoch": 0.91, + "learning_rate": 4.587277847136984e-06, + "loss": 0.751, + "step": 4710 + }, + { + "epoch": 0.91, + "learning_rate": 4.5686411239726055e-06, + "loss": 0.3192, + "step": 4711 + }, + { + "epoch": 0.91, + "learning_rate": 4.550041450547548e-06, + "loss": 0.8076, + "step": 4712 + }, + { + "epoch": 0.91, + "learning_rate": 4.531478834082836e-06, + "loss": 0.7906, + "step": 4713 + }, + { + "epoch": 0.91, + "learning_rate": 4.512953281785104e-06, + "loss": 0.8567, + "step": 4714 + }, + { + "epoch": 0.91, + "learning_rate": 4.494464800846654e-06, + "loss": 0.7441, + "step": 4715 + }, + { + "epoch": 0.91, + "learning_rate": 4.476013398445289e-06, + "loss": 0.7891, + "step": 4716 + }, + { + "epoch": 0.91, + "learning_rate": 4.457599081744523e-06, + "loss": 0.7875, + "step": 4717 + }, + { + "epoch": 0.91, + "learning_rate": 4.439221857893416e-06, + "loss": 0.3007, + "step": 4718 + }, + { + "epoch": 0.91, + "learning_rate": 4.420881734026639e-06, + "loss": 0.8203, + "step": 4719 + }, + { + "epoch": 0.91, + "learning_rate": 4.402578717264449e-06, + "loss": 0.7461, + "step": 4720 + }, + { + "epoch": 0.91, + "learning_rate": 4.384312814712721e-06, + "loss": 0.8293, + "step": 4721 + }, + { + "epoch": 0.91, + "learning_rate": 4.366084033462914e-06, + "loss": 0.7151, + "step": 4722 + }, + { + "epoch": 0.91, + "learning_rate": 4.347892380592034e-06, + "loss": 0.6963, + "step": 4723 + }, + { + "epoch": 0.91, + "learning_rate": 4.329737863162752e-06, + "loss": 0.8589, + "step": 4724 + }, + { + "epoch": 0.91, + "learning_rate": 4.311620488223256e-06, + "loss": 0.7609, + "step": 4725 + }, + { + "epoch": 0.91, + "learning_rate": 4.293540262807317e-06, + "loss": 0.7478, + "step": 4726 + }, + { + "epoch": 0.91, + "learning_rate": 4.27549719393433e-06, + "loss": 0.7583, + "step": 4727 + }, + { + "epoch": 0.91, + "learning_rate": 4.257491288609217e-06, + "loss": 0.7488, + "step": 4728 + }, + { + "epoch": 0.91, + "learning_rate": 4.239522553822495e-06, + "loss": 0.8088, + "step": 4729 + }, + { + "epoch": 0.91, + "learning_rate": 4.221590996550251e-06, + "loss": 0.7671, + "step": 4730 + }, + { + "epoch": 0.91, + "learning_rate": 4.203696623754138e-06, + "loss": 0.7493, + "step": 4731 + }, + { + "epoch": 0.91, + "learning_rate": 4.185839442381357e-06, + "loss": 0.8271, + "step": 4732 + }, + { + "epoch": 0.91, + "learning_rate": 4.168019459364669e-06, + "loss": 0.7935, + "step": 4733 + }, + { + "epoch": 0.91, + "learning_rate": 4.150236681622433e-06, + "loss": 0.7269, + "step": 4734 + }, + { + "epoch": 0.91, + "learning_rate": 4.132491116058501e-06, + "loss": 0.7533, + "step": 4735 + }, + { + "epoch": 0.91, + "learning_rate": 4.114782769562364e-06, + "loss": 0.7957, + "step": 4736 + }, + { + "epoch": 0.91, + "learning_rate": 4.097111649008967e-06, + "loss": 0.7844, + "step": 4737 + }, + { + "epoch": 0.91, + "learning_rate": 4.079477761258854e-06, + "loss": 0.8202, + "step": 4738 + }, + { + "epoch": 0.91, + "learning_rate": 4.061881113158117e-06, + "loss": 0.3165, + "step": 4739 + }, + { + "epoch": 0.91, + "learning_rate": 4.044321711538368e-06, + "loss": 0.7317, + "step": 4740 + }, + { + "epoch": 0.91, + "learning_rate": 4.0267995632168094e-06, + "loss": 0.8085, + "step": 4741 + }, + { + "epoch": 0.91, + "learning_rate": 4.00931467499609e-06, + "loss": 0.7573, + "step": 4742 + }, + { + "epoch": 0.91, + "learning_rate": 3.9918670536644775e-06, + "loss": 0.7765, + "step": 4743 + }, + { + "epoch": 0.91, + "learning_rate": 3.974456705995733e-06, + "loss": 0.6978, + "step": 4744 + }, + { + "epoch": 0.91, + "learning_rate": 3.957083638749148e-06, + "loss": 0.7759, + "step": 4745 + }, + { + "epoch": 0.91, + "learning_rate": 3.939747858669551e-06, + "loss": 0.7434, + "step": 4746 + }, + { + "epoch": 0.91, + "learning_rate": 3.922449372487291e-06, + "loss": 0.7998, + "step": 4747 + }, + { + "epoch": 0.91, + "learning_rate": 3.905188186918229e-06, + "loss": 0.7941, + "step": 4748 + }, + { + "epoch": 0.91, + "learning_rate": 3.887964308663739e-06, + "loss": 0.7115, + "step": 4749 + }, + { + "epoch": 0.91, + "learning_rate": 3.8707777444107695e-06, + "loss": 0.7767, + "step": 4750 + }, + { + "epoch": 0.91, + "learning_rate": 3.853628500831685e-06, + "loss": 0.8064, + "step": 4751 + }, + { + "epoch": 0.91, + "learning_rate": 3.836516584584426e-06, + "loss": 0.8076, + "step": 4752 + }, + { + "epoch": 0.91, + "learning_rate": 3.819442002312457e-06, + "loss": 0.7815, + "step": 4753 + }, + { + "epoch": 0.91, + "learning_rate": 3.8024047606446735e-06, + "loss": 0.3605, + "step": 4754 + }, + { + "epoch": 0.91, + "learning_rate": 3.7854048661955522e-06, + "loss": 0.7485, + "step": 4755 + }, + { + "epoch": 0.91, + "learning_rate": 3.7684423255650357e-06, + "loss": 0.7461, + "step": 4756 + }, + { + "epoch": 0.92, + "learning_rate": 3.7515171453385458e-06, + "loss": 0.7854, + "step": 4757 + }, + { + "epoch": 0.92, + "learning_rate": 3.7346293320870363e-06, + "loss": 0.8237, + "step": 4758 + }, + { + "epoch": 0.92, + "learning_rate": 3.717778892366941e-06, + "loss": 0.7278, + "step": 4759 + }, + { + "epoch": 0.92, + "learning_rate": 3.700965832720171e-06, + "loss": 0.7532, + "step": 4760 + }, + { + "epoch": 0.92, + "learning_rate": 3.684190159674117e-06, + "loss": 0.8022, + "step": 4761 + }, + { + "epoch": 0.92, + "learning_rate": 3.6674518797417235e-06, + "loss": 0.7511, + "step": 4762 + }, + { + "epoch": 0.92, + "learning_rate": 3.650750999421315e-06, + "loss": 0.8369, + "step": 4763 + }, + { + "epoch": 0.92, + "learning_rate": 3.634087525196794e-06, + "loss": 0.7317, + "step": 4764 + }, + { + "epoch": 0.92, + "learning_rate": 3.6174614635374637e-06, + "loss": 0.7472, + "step": 4765 + }, + { + "epoch": 0.92, + "learning_rate": 3.6008728208981156e-06, + "loss": 0.7646, + "step": 4766 + }, + { + "epoch": 0.92, + "learning_rate": 3.5843216037190876e-06, + "loss": 0.7837, + "step": 4767 + }, + { + "epoch": 0.92, + "learning_rate": 3.567807818426083e-06, + "loss": 0.8169, + "step": 4768 + }, + { + "epoch": 0.92, + "learning_rate": 3.5513314714303526e-06, + "loss": 0.7822, + "step": 4769 + }, + { + "epoch": 0.92, + "learning_rate": 3.534892569128567e-06, + "loss": 0.714, + "step": 4770 + }, + { + "epoch": 0.92, + "learning_rate": 3.518491117902878e-06, + "loss": 0.7319, + "step": 4771 + }, + { + "epoch": 0.92, + "learning_rate": 3.5021271241208907e-06, + "loss": 0.8315, + "step": 4772 + }, + { + "epoch": 0.92, + "learning_rate": 3.48580059413568e-06, + "loss": 0.8074, + "step": 4773 + }, + { + "epoch": 0.92, + "learning_rate": 3.469511534285752e-06, + "loss": 0.7098, + "step": 4774 + }, + { + "epoch": 0.92, + "learning_rate": 3.4532599508950824e-06, + "loss": 0.7993, + "step": 4775 + }, + { + "epoch": 0.92, + "learning_rate": 3.437045850273113e-06, + "loss": 0.7542, + "step": 4776 + }, + { + "epoch": 0.92, + "learning_rate": 3.420869238714708e-06, + "loss": 0.7675, + "step": 4777 + }, + { + "epoch": 0.92, + "learning_rate": 3.4047301225001547e-06, + "loss": 0.7708, + "step": 4778 + }, + { + "epoch": 0.92, + "learning_rate": 3.388628507895275e-06, + "loss": 0.7292, + "step": 4779 + }, + { + "epoch": 0.92, + "learning_rate": 3.3725644011512124e-06, + "loss": 0.7742, + "step": 4780 + }, + { + "epoch": 0.92, + "learning_rate": 3.3565378085046337e-06, + "loss": 0.738, + "step": 4781 + }, + { + "epoch": 0.92, + "learning_rate": 3.340548736177618e-06, + "loss": 0.7732, + "step": 4782 + }, + { + "epoch": 0.92, + "learning_rate": 3.324597190377665e-06, + "loss": 0.7723, + "step": 4783 + }, + { + "epoch": 0.92, + "learning_rate": 3.308683177297711e-06, + "loss": 0.7573, + "step": 4784 + }, + { + "epoch": 0.92, + "learning_rate": 3.2928067031161247e-06, + "loss": 0.7134, + "step": 4785 + }, + { + "epoch": 0.92, + "learning_rate": 3.2769677739966973e-06, + "loss": 0.7183, + "step": 4786 + }, + { + "epoch": 0.92, + "learning_rate": 3.2611663960886664e-06, + "loss": 0.7651, + "step": 4787 + }, + { + "epoch": 0.92, + "learning_rate": 3.245402575526646e-06, + "loss": 0.7722, + "step": 4788 + }, + { + "epoch": 0.92, + "learning_rate": 3.229676318430697e-06, + "loss": 0.7524, + "step": 4789 + }, + { + "epoch": 0.92, + "learning_rate": 3.2139876309063234e-06, + "loss": 0.7358, + "step": 4790 + }, + { + "epoch": 0.92, + "learning_rate": 3.198336519044376e-06, + "loss": 0.7051, + "step": 4791 + }, + { + "epoch": 0.92, + "learning_rate": 3.1827229889211606e-06, + "loss": 0.8203, + "step": 4792 + }, + { + "epoch": 0.92, + "learning_rate": 3.1671470465984177e-06, + "loss": 0.7444, + "step": 4793 + }, + { + "epoch": 0.92, + "learning_rate": 3.151608698123232e-06, + "loss": 0.7588, + "step": 4794 + }, + { + "epoch": 0.92, + "learning_rate": 3.1361079495281444e-06, + "loss": 0.7803, + "step": 4795 + }, + { + "epoch": 0.92, + "learning_rate": 3.1206448068310633e-06, + "loss": 0.79, + "step": 4796 + }, + { + "epoch": 0.92, + "learning_rate": 3.1052192760353314e-06, + "loss": 0.7769, + "step": 4797 + }, + { + "epoch": 0.92, + "learning_rate": 3.0898313631296583e-06, + "loss": 0.7432, + "step": 4798 + }, + { + "epoch": 0.92, + "learning_rate": 3.074481074088165e-06, + "loss": 0.7822, + "step": 4799 + }, + { + "epoch": 0.92, + "learning_rate": 3.0591684148703614e-06, + "loss": 0.8225, + "step": 4800 + }, + { + "epoch": 0.92, + "learning_rate": 3.0438933914211486e-06, + "loss": 0.7916, + "step": 4801 + }, + { + "epoch": 0.92, + "learning_rate": 3.028656009670827e-06, + "loss": 0.8271, + "step": 4802 + }, + { + "epoch": 0.92, + "learning_rate": 3.0134562755350537e-06, + "loss": 0.7156, + "step": 4803 + }, + { + "epoch": 0.92, + "learning_rate": 2.998294194914897e-06, + "loss": 0.7883, + "step": 4804 + }, + { + "epoch": 0.92, + "learning_rate": 2.9831697736968146e-06, + "loss": 0.7769, + "step": 4805 + }, + { + "epoch": 0.92, + "learning_rate": 2.9680830177525986e-06, + "loss": 0.7465, + "step": 4806 + }, + { + "epoch": 0.92, + "learning_rate": 2.953033932939464e-06, + "loss": 0.7715, + "step": 4807 + }, + { + "epoch": 0.92, + "learning_rate": 2.9380225250999816e-06, + "loss": 0.8057, + "step": 4808 + }, + { + "epoch": 0.93, + "learning_rate": 2.9230488000621004e-06, + "loss": 0.3185, + "step": 4809 + }, + { + "epoch": 0.93, + "learning_rate": 2.908112763639137e-06, + "loss": 0.8359, + "step": 4810 + }, + { + "epoch": 0.93, + "learning_rate": 2.893214421629764e-06, + "loss": 0.7834, + "step": 4811 + }, + { + "epoch": 0.93, + "learning_rate": 2.8783537798180437e-06, + "loss": 0.7416, + "step": 4812 + }, + { + "epoch": 0.93, + "learning_rate": 2.863530843973372e-06, + "loss": 0.7313, + "step": 4813 + }, + { + "epoch": 0.93, + "learning_rate": 2.848745619850546e-06, + "loss": 0.7388, + "step": 4814 + }, + { + "epoch": 0.93, + "learning_rate": 2.833998113189662e-06, + "loss": 0.7828, + "step": 4815 + }, + { + "epoch": 0.93, + "learning_rate": 2.819288329716263e-06, + "loss": 0.7798, + "step": 4816 + }, + { + "epoch": 0.93, + "learning_rate": 2.8046162751411475e-06, + "loss": 0.7898, + "step": 4817 + }, + { + "epoch": 0.93, + "learning_rate": 2.7899819551605257e-06, + "loss": 0.7639, + "step": 4818 + }, + { + "epoch": 0.93, + "learning_rate": 2.7753853754559635e-06, + "loss": 0.7728, + "step": 4819 + }, + { + "epoch": 0.93, + "learning_rate": 2.760826541694328e-06, + "loss": 0.7827, + "step": 4820 + }, + { + "epoch": 0.93, + "learning_rate": 2.746305459527876e-06, + "loss": 0.7937, + "step": 4821 + }, + { + "epoch": 0.93, + "learning_rate": 2.7318221345941863e-06, + "loss": 0.7727, + "step": 4822 + }, + { + "epoch": 0.93, + "learning_rate": 2.7173765725161837e-06, + "loss": 0.8175, + "step": 4823 + }, + { + "epoch": 0.93, + "learning_rate": 2.7029687789021373e-06, + "loss": 0.3259, + "step": 4824 + }, + { + "epoch": 0.93, + "learning_rate": 2.6885987593456507e-06, + "loss": 0.757, + "step": 4825 + }, + { + "epoch": 0.93, + "learning_rate": 2.67426651942565e-06, + "loss": 0.7632, + "step": 4826 + }, + { + "epoch": 0.93, + "learning_rate": 2.6599720647064062e-06, + "loss": 0.7896, + "step": 4827 + }, + { + "epoch": 0.93, + "learning_rate": 2.645715400737536e-06, + "loss": 0.7876, + "step": 4828 + }, + { + "epoch": 0.93, + "learning_rate": 2.631496533053934e-06, + "loss": 0.8101, + "step": 4829 + }, + { + "epoch": 0.93, + "learning_rate": 2.617315467175885e-06, + "loss": 0.7378, + "step": 4830 + }, + { + "epoch": 0.93, + "learning_rate": 2.6031722086089615e-06, + "loss": 0.7374, + "step": 4831 + }, + { + "epoch": 0.93, + "learning_rate": 2.589066762844039e-06, + "loss": 0.7668, + "step": 4832 + }, + { + "epoch": 0.93, + "learning_rate": 2.57499913535737e-06, + "loss": 0.8062, + "step": 4833 + }, + { + "epoch": 0.93, + "learning_rate": 2.5609693316104744e-06, + "loss": 0.6937, + "step": 4834 + }, + { + "epoch": 0.93, + "learning_rate": 2.5469773570502065e-06, + "loss": 0.7837, + "step": 4835 + }, + { + "epoch": 0.93, + "learning_rate": 2.5330232171087433e-06, + "loss": 0.7537, + "step": 4836 + }, + { + "epoch": 0.93, + "learning_rate": 2.5191069172035396e-06, + "loss": 0.7612, + "step": 4837 + }, + { + "epoch": 0.93, + "learning_rate": 2.5052284627374077e-06, + "loss": 0.8152, + "step": 4838 + }, + { + "epoch": 0.93, + "learning_rate": 2.491387859098426e-06, + "loss": 0.755, + "step": 4839 + }, + { + "epoch": 0.93, + "learning_rate": 2.4775851116599967e-06, + "loss": 0.77, + "step": 4840 + }, + { + "epoch": 0.93, + "learning_rate": 2.4638202257808107e-06, + "loss": 0.7656, + "step": 4841 + }, + { + "epoch": 0.93, + "learning_rate": 2.4500932068049043e-06, + "loss": 0.8064, + "step": 4842 + }, + { + "epoch": 0.93, + "learning_rate": 2.436404060061548e-06, + "loss": 0.3203, + "step": 4843 + }, + { + "epoch": 0.93, + "learning_rate": 2.4227527908653458e-06, + "loss": 0.7363, + "step": 4844 + }, + { + "epoch": 0.93, + "learning_rate": 2.409139404516203e-06, + "loss": 0.8271, + "step": 4845 + }, + { + "epoch": 0.93, + "learning_rate": 2.3955639062992696e-06, + "loss": 0.8127, + "step": 4846 + }, + { + "epoch": 0.93, + "learning_rate": 2.382026301485074e-06, + "loss": 0.7266, + "step": 4847 + }, + { + "epoch": 0.93, + "learning_rate": 2.3685265953293343e-06, + "loss": 0.7786, + "step": 4848 + }, + { + "epoch": 0.93, + "learning_rate": 2.3550647930731364e-06, + "loss": 0.785, + "step": 4849 + }, + { + "epoch": 0.93, + "learning_rate": 2.3416408999427875e-06, + "loss": 0.7524, + "step": 4850 + }, + { + "epoch": 0.93, + "learning_rate": 2.3282549211499304e-06, + "loss": 0.7482, + "step": 4851 + }, + { + "epoch": 0.93, + "learning_rate": 2.3149068618914415e-06, + "loss": 0.8003, + "step": 4852 + }, + { + "epoch": 0.93, + "learning_rate": 2.3015967273494864e-06, + "loss": 0.3594, + "step": 4853 + }, + { + "epoch": 0.93, + "learning_rate": 2.288324522691565e-06, + "loss": 0.856, + "step": 4854 + }, + { + "epoch": 0.93, + "learning_rate": 2.2750902530703666e-06, + "loss": 0.7183, + "step": 4855 + }, + { + "epoch": 0.93, + "learning_rate": 2.2618939236238923e-06, + "loss": 0.792, + "step": 4856 + }, + { + "epoch": 0.93, + "learning_rate": 2.248735539475433e-06, + "loss": 0.8008, + "step": 4857 + }, + { + "epoch": 0.93, + "learning_rate": 2.2356151057334906e-06, + "loss": 0.7932, + "step": 4858 + }, + { + "epoch": 0.93, + "learning_rate": 2.2225326274919133e-06, + "loss": 0.7955, + "step": 4859 + }, + { + "epoch": 0.93, + "learning_rate": 2.209488109829727e-06, + "loss": 0.7915, + "step": 4860 + }, + { + "epoch": 0.94, + "learning_rate": 2.196481557811303e-06, + "loss": 0.7262, + "step": 4861 + }, + { + "epoch": 0.94, + "learning_rate": 2.1835129764861906e-06, + "loss": 0.7334, + "step": 4862 + }, + { + "epoch": 0.94, + "learning_rate": 2.1705823708892734e-06, + "loss": 0.8, + "step": 4863 + }, + { + "epoch": 0.94, + "learning_rate": 2.1576897460406474e-06, + "loss": 0.7725, + "step": 4864 + }, + { + "epoch": 0.94, + "learning_rate": 2.144835106945664e-06, + "loss": 0.7323, + "step": 4865 + }, + { + "epoch": 0.94, + "learning_rate": 2.1320184585949533e-06, + "loss": 0.7437, + "step": 4866 + }, + { + "epoch": 0.94, + "learning_rate": 2.119239805964357e-06, + "loss": 0.7925, + "step": 4867 + }, + { + "epoch": 0.94, + "learning_rate": 2.106499154015018e-06, + "loss": 0.76, + "step": 4868 + }, + { + "epoch": 0.94, + "learning_rate": 2.0937965076932574e-06, + "loss": 0.825, + "step": 4869 + }, + { + "epoch": 0.94, + "learning_rate": 2.0811318719307193e-06, + "loss": 0.7781, + "step": 4870 + }, + { + "epoch": 0.94, + "learning_rate": 2.068505251644237e-06, + "loss": 0.7937, + "step": 4871 + }, + { + "epoch": 0.94, + "learning_rate": 2.0559166517358785e-06, + "loss": 0.7815, + "step": 4872 + }, + { + "epoch": 0.94, + "learning_rate": 2.0433660770930007e-06, + "loss": 0.7634, + "step": 4873 + }, + { + "epoch": 0.94, + "learning_rate": 2.030853532588162e-06, + "loss": 0.7856, + "step": 4874 + }, + { + "epoch": 0.94, + "learning_rate": 2.0183790230791534e-06, + "loss": 0.7695, + "step": 4875 + }, + { + "epoch": 0.94, + "learning_rate": 2.0059425534090125e-06, + "loss": 0.8491, + "step": 4876 + }, + { + "epoch": 0.94, + "learning_rate": 1.993544128406e-06, + "loss": 0.8118, + "step": 4877 + }, + { + "epoch": 0.94, + "learning_rate": 1.981183752883631e-06, + "loss": 0.8308, + "step": 4878 + }, + { + "epoch": 0.94, + "learning_rate": 1.9688614316406007e-06, + "loss": 0.7734, + "step": 4879 + }, + { + "epoch": 0.94, + "learning_rate": 1.9565771694608936e-06, + "loss": 0.6978, + "step": 4880 + }, + { + "epoch": 0.94, + "learning_rate": 1.944330971113639e-06, + "loss": 0.363, + "step": 4881 + }, + { + "epoch": 0.94, + "learning_rate": 1.9321228413532787e-06, + "loss": 0.8005, + "step": 4882 + }, + { + "epoch": 0.94, + "learning_rate": 1.91995278491941e-06, + "loss": 0.7277, + "step": 4883 + }, + { + "epoch": 0.94, + "learning_rate": 1.907820806536842e-06, + "loss": 0.8083, + "step": 4884 + }, + { + "epoch": 0.94, + "learning_rate": 1.8957269109156628e-06, + "loss": 0.8164, + "step": 4885 + }, + { + "epoch": 0.94, + "learning_rate": 1.8836711027511277e-06, + "loss": 0.7203, + "step": 4886 + }, + { + "epoch": 0.94, + "learning_rate": 1.8716533867237152e-06, + "loss": 0.3091, + "step": 4887 + }, + { + "epoch": 0.94, + "learning_rate": 1.859673767499115e-06, + "loss": 0.7646, + "step": 4888 + }, + { + "epoch": 0.94, + "learning_rate": 1.8477322497282178e-06, + "loss": 0.6858, + "step": 4889 + }, + { + "epoch": 0.94, + "learning_rate": 1.83582883804716e-06, + "loss": 0.8034, + "step": 4890 + }, + { + "epoch": 0.94, + "learning_rate": 1.8239635370772223e-06, + "loss": 0.3502, + "step": 4891 + }, + { + "epoch": 0.94, + "learning_rate": 1.8121363514249535e-06, + "loss": 0.3442, + "step": 4892 + }, + { + "epoch": 0.94, + "learning_rate": 1.8003472856820469e-06, + "loss": 0.7848, + "step": 4893 + }, + { + "epoch": 0.94, + "learning_rate": 1.7885963444254528e-06, + "loss": 0.7715, + "step": 4894 + }, + { + "epoch": 0.94, + "learning_rate": 1.776883532217255e-06, + "loss": 0.7678, + "step": 4895 + }, + { + "epoch": 0.94, + "learning_rate": 1.7652088536048051e-06, + "loss": 0.7974, + "step": 4896 + }, + { + "epoch": 0.94, + "learning_rate": 1.7535723131206106e-06, + "loss": 0.3055, + "step": 4897 + }, + { + "epoch": 0.94, + "learning_rate": 1.7419739152823467e-06, + "loss": 0.7295, + "step": 4898 + }, + { + "epoch": 0.94, + "learning_rate": 1.7304136645929447e-06, + "loss": 0.7551, + "step": 4899 + }, + { + "epoch": 0.94, + "learning_rate": 1.7188915655404813e-06, + "loss": 0.7927, + "step": 4900 + }, + { + "epoch": 0.94, + "learning_rate": 1.7074076225982228e-06, + "loss": 0.8125, + "step": 4901 + }, + { + "epoch": 0.94, + "learning_rate": 1.6959618402246357e-06, + "loss": 0.7336, + "step": 4902 + }, + { + "epoch": 0.94, + "learning_rate": 1.684554222863377e-06, + "loss": 0.804, + "step": 4903 + }, + { + "epoch": 0.94, + "learning_rate": 1.6731847749432705e-06, + "loss": 0.7582, + "step": 4904 + }, + { + "epoch": 0.94, + "learning_rate": 1.6618535008783075e-06, + "loss": 0.769, + "step": 4905 + }, + { + "epoch": 0.94, + "learning_rate": 1.650560405067725e-06, + "loss": 0.7876, + "step": 4906 + }, + { + "epoch": 0.94, + "learning_rate": 1.6393054918958373e-06, + "loss": 0.8491, + "step": 4907 + }, + { + "epoch": 0.94, + "learning_rate": 1.6280887657322275e-06, + "loss": 0.7571, + "step": 4908 + }, + { + "epoch": 0.94, + "learning_rate": 1.616910230931612e-06, + "loss": 0.802, + "step": 4909 + }, + { + "epoch": 0.94, + "learning_rate": 1.6057698918338526e-06, + "loss": 0.7867, + "step": 4910 + }, + { + "epoch": 0.94, + "learning_rate": 1.5946677527640564e-06, + "loss": 0.8186, + "step": 4911 + }, + { + "epoch": 0.94, + "learning_rate": 1.5836038180324198e-06, + "loss": 0.7908, + "step": 4912 + }, + { + "epoch": 0.95, + "learning_rate": 1.5725780919343625e-06, + "loss": 0.7471, + "step": 4913 + }, + { + "epoch": 0.95, + "learning_rate": 1.561590578750438e-06, + "loss": 0.7795, + "step": 4914 + }, + { + "epoch": 0.95, + "learning_rate": 1.55064128274639e-06, + "loss": 0.7302, + "step": 4915 + }, + { + "epoch": 0.95, + "learning_rate": 1.5397302081731068e-06, + "loss": 0.8416, + "step": 4916 + }, + { + "epoch": 0.95, + "learning_rate": 1.5288573592666444e-06, + "loss": 0.7063, + "step": 4917 + }, + { + "epoch": 0.95, + "learning_rate": 1.518022740248215e-06, + "loss": 0.7438, + "step": 4918 + }, + { + "epoch": 0.95, + "learning_rate": 1.5072263553241872e-06, + "loss": 0.7585, + "step": 4919 + }, + { + "epoch": 0.95, + "learning_rate": 1.4964682086861082e-06, + "loss": 0.7733, + "step": 4920 + }, + { + "epoch": 0.95, + "learning_rate": 1.4857483045106257e-06, + "loss": 0.7578, + "step": 4921 + }, + { + "epoch": 0.95, + "learning_rate": 1.4750666469596108e-06, + "loss": 0.7932, + "step": 4922 + }, + { + "epoch": 0.95, + "learning_rate": 1.464423240180035e-06, + "loss": 0.824, + "step": 4923 + }, + { + "epoch": 0.95, + "learning_rate": 1.4538180883040265e-06, + "loss": 0.7715, + "step": 4924 + }, + { + "epoch": 0.95, + "learning_rate": 1.4432511954488914e-06, + "loss": 0.8032, + "step": 4925 + }, + { + "epoch": 0.95, + "learning_rate": 1.4327225657170484e-06, + "loss": 0.7703, + "step": 4926 + }, + { + "epoch": 0.95, + "learning_rate": 1.4222322031960722e-06, + "loss": 0.7767, + "step": 4927 + }, + { + "epoch": 0.95, + "learning_rate": 1.4117801119586938e-06, + "loss": 0.7961, + "step": 4928 + }, + { + "epoch": 0.95, + "learning_rate": 1.401366296062756e-06, + "loss": 0.3162, + "step": 4929 + }, + { + "epoch": 0.95, + "learning_rate": 1.3909907595512805e-06, + "loss": 0.8164, + "step": 4930 + }, + { + "epoch": 0.95, + "learning_rate": 1.3806535064524006e-06, + "loss": 0.79, + "step": 4931 + }, + { + "epoch": 0.95, + "learning_rate": 1.370354540779395e-06, + "loss": 0.7949, + "step": 4932 + }, + { + "epoch": 0.95, + "learning_rate": 1.360093866530665e-06, + "loss": 0.7827, + "step": 4933 + }, + { + "epoch": 0.95, + "learning_rate": 1.34987148768978e-06, + "loss": 0.7805, + "step": 4934 + }, + { + "epoch": 0.95, + "learning_rate": 1.3396874082253986e-06, + "loss": 0.7886, + "step": 4935 + }, + { + "epoch": 0.95, + "learning_rate": 1.3295416320913357e-06, + "loss": 0.7864, + "step": 4936 + }, + { + "epoch": 0.95, + "learning_rate": 1.3194341632265516e-06, + "loss": 0.7627, + "step": 4937 + }, + { + "epoch": 0.95, + "learning_rate": 1.3093650055550854e-06, + "loss": 0.7413, + "step": 4938 + }, + { + "epoch": 0.95, + "learning_rate": 1.2993341629861433e-06, + "loss": 0.7388, + "step": 4939 + }, + { + "epoch": 0.95, + "learning_rate": 1.2893416394140323e-06, + "loss": 0.8047, + "step": 4940 + }, + { + "epoch": 0.95, + "learning_rate": 1.279387438718216e-06, + "loss": 0.7896, + "step": 4941 + }, + { + "epoch": 0.95, + "learning_rate": 1.269471564763247e-06, + "loss": 0.7996, + "step": 4942 + }, + { + "epoch": 0.95, + "learning_rate": 1.2595940213988022e-06, + "loss": 0.7534, + "step": 4943 + }, + { + "epoch": 0.95, + "learning_rate": 1.2497548124597024e-06, + "loss": 0.7705, + "step": 4944 + }, + { + "epoch": 0.95, + "learning_rate": 1.2399539417658369e-06, + "loss": 0.8572, + "step": 4945 + }, + { + "epoch": 0.95, + "learning_rate": 1.2301914131222726e-06, + "loss": 0.7443, + "step": 4946 + }, + { + "epoch": 0.95, + "learning_rate": 1.2204672303191334e-06, + "loss": 0.7747, + "step": 4947 + }, + { + "epoch": 0.95, + "learning_rate": 1.2107813971317105e-06, + "loss": 0.7909, + "step": 4948 + }, + { + "epoch": 0.95, + "learning_rate": 1.2011339173203628e-06, + "loss": 0.8037, + "step": 4949 + }, + { + "epoch": 0.95, + "learning_rate": 1.1915247946305496e-06, + "loss": 0.7764, + "step": 4950 + }, + { + "epoch": 0.95, + "learning_rate": 1.181954032792909e-06, + "loss": 0.7407, + "step": 4951 + }, + { + "epoch": 0.95, + "learning_rate": 1.1724216355231022e-06, + "loss": 0.7969, + "step": 4952 + }, + { + "epoch": 0.95, + "learning_rate": 1.1629276065219575e-06, + "loss": 0.7339, + "step": 4953 + }, + { + "epoch": 0.95, + "learning_rate": 1.153471949475382e-06, + "loss": 0.7917, + "step": 4954 + }, + { + "epoch": 0.95, + "learning_rate": 1.1440546680543728e-06, + "loss": 0.7761, + "step": 4955 + }, + { + "epoch": 0.95, + "learning_rate": 1.1346757659150497e-06, + "loss": 0.8241, + "step": 4956 + }, + { + "epoch": 0.95, + "learning_rate": 1.1253352466986334e-06, + "loss": 0.7612, + "step": 4957 + }, + { + "epoch": 0.95, + "learning_rate": 1.1160331140314339e-06, + "loss": 0.8105, + "step": 4958 + }, + { + "epoch": 0.95, + "learning_rate": 1.1067693715248406e-06, + "loss": 0.7444, + "step": 4959 + }, + { + "epoch": 0.95, + "learning_rate": 1.0975440227753764e-06, + "loss": 0.7988, + "step": 4960 + }, + { + "epoch": 0.95, + "learning_rate": 1.0883570713646319e-06, + "loss": 0.7896, + "step": 4961 + }, + { + "epoch": 0.95, + "learning_rate": 1.0792085208593094e-06, + "loss": 0.6929, + "step": 4962 + }, + { + "epoch": 0.95, + "learning_rate": 1.0700983748111793e-06, + "loss": 0.7942, + "step": 4963 + }, + { + "epoch": 0.95, + "learning_rate": 1.0610266367571009e-06, + "loss": 0.7446, + "step": 4964 + }, + { + "epoch": 0.96, + "learning_rate": 1.0519933102190683e-06, + "loss": 0.7535, + "step": 4965 + }, + { + "epoch": 0.96, + "learning_rate": 1.0429983987041092e-06, + "loss": 0.719, + "step": 4966 + }, + { + "epoch": 0.96, + "learning_rate": 1.0340419057043526e-06, + "loss": 0.7585, + "step": 4967 + }, + { + "epoch": 0.96, + "learning_rate": 1.0251238346970393e-06, + "loss": 0.7617, + "step": 4968 + }, + { + "epoch": 0.96, + "learning_rate": 1.0162441891444441e-06, + "loss": 0.7574, + "step": 4969 + }, + { + "epoch": 0.96, + "learning_rate": 1.007402972493976e-06, + "loss": 0.7583, + "step": 4970 + }, + { + "epoch": 0.96, + "learning_rate": 9.986001881780782e-07, + "loss": 0.812, + "step": 4971 + }, + { + "epoch": 0.96, + "learning_rate": 9.898358396143171e-07, + "loss": 0.7446, + "step": 4972 + }, + { + "epoch": 0.96, + "learning_rate": 9.811099302052929e-07, + "loss": 0.7612, + "step": 4973 + }, + { + "epoch": 0.96, + "learning_rate": 9.72422463338718e-07, + "loss": 0.793, + "step": 4974 + }, + { + "epoch": 0.96, + "learning_rate": 9.637734423873613e-07, + "loss": 0.3362, + "step": 4975 + }, + { + "epoch": 0.96, + "learning_rate": 9.551628707090809e-07, + "loss": 0.8008, + "step": 4976 + }, + { + "epoch": 0.96, + "learning_rate": 9.465907516467698e-07, + "loss": 0.824, + "step": 4977 + }, + { + "epoch": 0.96, + "learning_rate": 9.380570885284545e-07, + "loss": 0.7659, + "step": 4978 + }, + { + "epoch": 0.96, + "learning_rate": 9.295618846671738e-07, + "loss": 0.7849, + "step": 4979 + }, + { + "epoch": 0.96, + "learning_rate": 9.211051433610674e-07, + "loss": 0.7959, + "step": 4980 + }, + { + "epoch": 0.96, + "learning_rate": 9.126868678933198e-07, + "loss": 0.8083, + "step": 4981 + }, + { + "epoch": 0.96, + "learning_rate": 9.043070615322169e-07, + "loss": 0.812, + "step": 4982 + }, + { + "epoch": 0.96, + "learning_rate": 8.959657275310674e-07, + "loss": 0.7434, + "step": 4983 + }, + { + "epoch": 0.96, + "learning_rate": 8.876628691282918e-07, + "loss": 0.7783, + "step": 4984 + }, + { + "epoch": 0.96, + "learning_rate": 8.793984895473117e-07, + "loss": 0.7729, + "step": 4985 + }, + { + "epoch": 0.96, + "learning_rate": 8.711725919966718e-07, + "loss": 0.8236, + "step": 4986 + }, + { + "epoch": 0.96, + "learning_rate": 8.629851796699284e-07, + "loss": 0.3015, + "step": 4987 + }, + { + "epoch": 0.96, + "learning_rate": 8.548362557457279e-07, + "loss": 0.8218, + "step": 4988 + }, + { + "epoch": 0.96, + "learning_rate": 8.467258233877728e-07, + "loss": 0.6875, + "step": 4989 + }, + { + "epoch": 0.96, + "learning_rate": 8.386538857447779e-07, + "loss": 0.7365, + "step": 4990 + }, + { + "epoch": 0.96, + "learning_rate": 8.306204459505806e-07, + "loss": 0.8003, + "step": 4991 + }, + { + "epoch": 0.96, + "learning_rate": 8.226255071240308e-07, + "loss": 0.7781, + "step": 4992 + }, + { + "epoch": 0.96, + "learning_rate": 8.146690723690342e-07, + "loss": 0.7781, + "step": 4993 + }, + { + "epoch": 0.96, + "learning_rate": 8.067511447745535e-07, + "loss": 0.7944, + "step": 4994 + }, + { + "epoch": 0.96, + "learning_rate": 7.988717274146074e-07, + "loss": 0.7506, + "step": 4995 + }, + { + "epoch": 0.96, + "learning_rate": 7.910308233482488e-07, + "loss": 0.3518, + "step": 4996 + }, + { + "epoch": 0.96, + "learning_rate": 7.832284356195762e-07, + "loss": 0.7903, + "step": 4997 + }, + { + "epoch": 0.96, + "learning_rate": 7.754645672577776e-07, + "loss": 0.7714, + "step": 4998 + }, + { + "epoch": 0.96, + "learning_rate": 7.677392212770196e-07, + "loss": 0.7996, + "step": 4999 + }, + { + "epoch": 0.96, + "learning_rate": 7.600524006765808e-07, + "loss": 0.7844, + "step": 5000 + }, + { + "epoch": 0.96, + "learning_rate": 7.524041084407185e-07, + "loss": 0.7544, + "step": 5001 + }, + { + "epoch": 0.96, + "learning_rate": 7.447943475387797e-07, + "loss": 0.7932, + "step": 5002 + }, + { + "epoch": 0.96, + "learning_rate": 7.372231209251346e-07, + "loss": 0.7565, + "step": 5003 + }, + { + "epoch": 0.96, + "learning_rate": 7.296904315391873e-07, + "loss": 0.7271, + "step": 5004 + }, + { + "epoch": 0.96, + "learning_rate": 7.221962823053874e-07, + "loss": 0.7595, + "step": 5005 + }, + { + "epoch": 0.96, + "learning_rate": 7.147406761332298e-07, + "loss": 0.7903, + "step": 5006 + }, + { + "epoch": 0.96, + "learning_rate": 7.073236159172325e-07, + "loss": 0.7686, + "step": 5007 + }, + { + "epoch": 0.96, + "learning_rate": 6.999451045369587e-07, + "loss": 0.7595, + "step": 5008 + }, + { + "epoch": 0.96, + "learning_rate": 6.926051448569948e-07, + "loss": 0.8274, + "step": 5009 + }, + { + "epoch": 0.96, + "learning_rate": 6.853037397269724e-07, + "loss": 0.7412, + "step": 5010 + }, + { + "epoch": 0.96, + "learning_rate": 6.78040891981524e-07, + "loss": 0.8953, + "step": 5011 + }, + { + "epoch": 0.96, + "learning_rate": 6.70816604440383e-07, + "loss": 0.7743, + "step": 5012 + }, + { + "epoch": 0.96, + "learning_rate": 6.63630879908217e-07, + "loss": 0.7891, + "step": 5013 + }, + { + "epoch": 0.96, + "learning_rate": 6.564837211748054e-07, + "loss": 0.7927, + "step": 5014 + }, + { + "epoch": 0.96, + "learning_rate": 6.493751310149176e-07, + "loss": 0.3232, + "step": 5015 + }, + { + "epoch": 0.96, + "learning_rate": 6.42305112188335e-07, + "loss": 0.7947, + "step": 5016 + }, + { + "epoch": 0.97, + "learning_rate": 6.352736674398951e-07, + "loss": 0.7703, + "step": 5017 + }, + { + "epoch": 0.97, + "learning_rate": 6.282807994994478e-07, + "loss": 0.8503, + "step": 5018 + }, + { + "epoch": 0.97, + "learning_rate": 6.213265110818655e-07, + "loss": 0.7615, + "step": 5019 + }, + { + "epoch": 0.97, + "learning_rate": 6.144108048870333e-07, + "loss": 0.7607, + "step": 5020 + }, + { + "epoch": 0.97, + "learning_rate": 6.075336835998812e-07, + "loss": 0.7568, + "step": 5021 + }, + { + "epoch": 0.97, + "learning_rate": 6.00695149890329e-07, + "loss": 0.7855, + "step": 5022 + }, + { + "epoch": 0.97, + "learning_rate": 5.938952064133418e-07, + "loss": 0.7756, + "step": 5023 + }, + { + "epoch": 0.97, + "learning_rate": 5.871338558088857e-07, + "loss": 0.759, + "step": 5024 + }, + { + "epoch": 0.97, + "learning_rate": 5.804111007019497e-07, + "loss": 0.7369, + "step": 5025 + }, + { + "epoch": 0.97, + "learning_rate": 5.737269437025461e-07, + "loss": 0.825, + "step": 5026 + }, + { + "epoch": 0.97, + "learning_rate": 5.67081387405688e-07, + "loss": 0.7999, + "step": 5027 + }, + { + "epoch": 0.97, + "learning_rate": 5.604744343914115e-07, + "loss": 0.7811, + "step": 5028 + }, + { + "epoch": 0.97, + "learning_rate": 5.539060872247537e-07, + "loss": 0.739, + "step": 5029 + }, + { + "epoch": 0.97, + "learning_rate": 5.47376348455797e-07, + "loss": 0.7898, + "step": 5030 + }, + { + "epoch": 0.97, + "learning_rate": 5.408852206195913e-07, + "loss": 0.738, + "step": 5031 + }, + { + "epoch": 0.97, + "learning_rate": 5.344327062362098e-07, + "loss": 0.7876, + "step": 5032 + }, + { + "epoch": 0.97, + "learning_rate": 5.280188078107595e-07, + "loss": 0.2898, + "step": 5033 + }, + { + "epoch": 0.97, + "learning_rate": 5.216435278333376e-07, + "loss": 0.7687, + "step": 5034 + }, + { + "epoch": 0.97, + "learning_rate": 5.153068687790197e-07, + "loss": 0.729, + "step": 5035 + }, + { + "epoch": 0.97, + "learning_rate": 5.09008833107949e-07, + "loss": 0.7676, + "step": 5036 + }, + { + "epoch": 0.97, + "learning_rate": 5.027494232652142e-07, + "loss": 0.7593, + "step": 5037 + }, + { + "epoch": 0.97, + "learning_rate": 4.9652864168096e-07, + "loss": 0.7854, + "step": 5038 + }, + { + "epoch": 0.97, + "learning_rate": 4.90346490770277e-07, + "loss": 0.7485, + "step": 5039 + }, + { + "epoch": 0.97, + "learning_rate": 4.84202972933312e-07, + "loss": 0.7298, + "step": 5040 + }, + { + "epoch": 0.97, + "learning_rate": 4.78098090555179e-07, + "loss": 0.7773, + "step": 5041 + }, + { + "epoch": 0.97, + "learning_rate": 4.720318460060047e-07, + "loss": 0.7908, + "step": 5042 + }, + { + "epoch": 0.97, + "learning_rate": 4.6600424164091605e-07, + "loss": 0.7733, + "step": 5043 + }, + { + "epoch": 0.97, + "learning_rate": 4.6001527980004124e-07, + "loss": 0.7854, + "step": 5044 + }, + { + "epoch": 0.97, + "learning_rate": 4.54064962808487e-07, + "loss": 0.7905, + "step": 5045 + }, + { + "epoch": 0.97, + "learning_rate": 4.481532929763943e-07, + "loss": 0.8137, + "step": 5046 + }, + { + "epoch": 0.97, + "learning_rate": 4.422802725988606e-07, + "loss": 0.7915, + "step": 5047 + }, + { + "epoch": 0.97, + "learning_rate": 4.364459039559843e-07, + "loss": 0.801, + "step": 5048 + }, + { + "epoch": 0.97, + "learning_rate": 4.306501893128978e-07, + "loss": 0.7812, + "step": 5049 + }, + { + "epoch": 0.97, + "learning_rate": 4.2489313091967906e-07, + "loss": 0.7605, + "step": 5050 + }, + { + "epoch": 0.97, + "learning_rate": 4.191747310114069e-07, + "loss": 0.793, + "step": 5051 + }, + { + "epoch": 0.97, + "learning_rate": 4.134949918081832e-07, + "loss": 0.7595, + "step": 5052 + }, + { + "epoch": 0.97, + "learning_rate": 4.0785391551506623e-07, + "loss": 0.8259, + "step": 5053 + }, + { + "epoch": 0.97, + "learning_rate": 4.0225150432211535e-07, + "loss": 0.7874, + "step": 5054 + }, + { + "epoch": 0.97, + "learning_rate": 3.9668776040437947e-07, + "loss": 0.7982, + "step": 5055 + }, + { + "epoch": 0.97, + "learning_rate": 3.9116268592189755e-07, + "loss": 0.7437, + "step": 5056 + }, + { + "epoch": 0.97, + "learning_rate": 3.8567628301969803e-07, + "loss": 0.7675, + "step": 5057 + }, + { + "epoch": 0.97, + "learning_rate": 3.8022855382777724e-07, + "loss": 0.8167, + "step": 5058 + }, + { + "epoch": 0.97, + "learning_rate": 3.7481950046115433e-07, + "loss": 0.7798, + "step": 5059 + }, + { + "epoch": 0.97, + "learning_rate": 3.69449125019794e-07, + "loss": 0.741, + "step": 5060 + }, + { + "epoch": 0.97, + "learning_rate": 3.641174295886618e-07, + "loss": 0.6854, + "step": 5061 + }, + { + "epoch": 0.97, + "learning_rate": 3.588244162377019e-07, + "loss": 0.7747, + "step": 5062 + }, + { + "epoch": 0.97, + "learning_rate": 3.5357008702185944e-07, + "loss": 0.8237, + "step": 5063 + }, + { + "epoch": 0.97, + "learning_rate": 3.483544439810249e-07, + "loss": 0.8171, + "step": 5064 + }, + { + "epoch": 0.97, + "learning_rate": 3.431774891401118e-07, + "loss": 0.7871, + "step": 5065 + }, + { + "epoch": 0.97, + "learning_rate": 3.380392245089792e-07, + "loss": 0.7646, + "step": 5066 + }, + { + "epoch": 0.97, + "learning_rate": 3.329396520824757e-07, + "loss": 0.8236, + "step": 5067 + }, + { + "epoch": 0.97, + "learning_rate": 3.2787877384045096e-07, + "loss": 0.7371, + "step": 5068 + }, + { + "epoch": 0.98, + "learning_rate": 3.228565917476889e-07, + "loss": 0.7847, + "step": 5069 + }, + { + "epoch": 0.98, + "learning_rate": 3.178731077539743e-07, + "loss": 0.8145, + "step": 5070 + }, + { + "epoch": 0.98, + "learning_rate": 3.1292832379409274e-07, + "loss": 0.7772, + "step": 5071 + }, + { + "epoch": 0.98, + "learning_rate": 3.080222417877421e-07, + "loss": 0.7791, + "step": 5072 + }, + { + "epoch": 0.98, + "learning_rate": 3.031548636396764e-07, + "loss": 0.8108, + "step": 5073 + }, + { + "epoch": 0.98, + "learning_rate": 2.9832619123953965e-07, + "loss": 0.8098, + "step": 5074 + }, + { + "epoch": 0.98, + "learning_rate": 2.9353622646199897e-07, + "loss": 0.7391, + "step": 5075 + }, + { + "epoch": 0.98, + "learning_rate": 2.8878497116671123e-07, + "loss": 0.7959, + "step": 5076 + }, + { + "epoch": 0.98, + "learning_rate": 2.8407242719823424e-07, + "loss": 0.7771, + "step": 5077 + }, + { + "epoch": 0.98, + "learning_rate": 2.793985963861712e-07, + "loss": 0.351, + "step": 5078 + }, + { + "epoch": 0.98, + "learning_rate": 2.747634805450483e-07, + "loss": 0.7949, + "step": 5079 + }, + { + "epoch": 0.98, + "learning_rate": 2.7016708147439286e-07, + "loss": 0.7883, + "step": 5080 + }, + { + "epoch": 0.98, + "learning_rate": 2.656094009586663e-07, + "loss": 0.7489, + "step": 5081 + }, + { + "epoch": 0.98, + "learning_rate": 2.6109044076733093e-07, + "loss": 0.7673, + "step": 5082 + }, + { + "epoch": 0.98, + "learning_rate": 2.5661020265479454e-07, + "loss": 0.7681, + "step": 5083 + }, + { + "epoch": 0.98, + "learning_rate": 2.521686883604324e-07, + "loss": 0.8162, + "step": 5084 + }, + { + "epoch": 0.98, + "learning_rate": 2.4776589960862075e-07, + "loss": 0.8252, + "step": 5085 + }, + { + "epoch": 0.98, + "learning_rate": 2.434018381086589e-07, + "loss": 0.8325, + "step": 5086 + }, + { + "epoch": 0.98, + "learning_rate": 2.3907650555481385e-07, + "loss": 0.7354, + "step": 5087 + }, + { + "epoch": 0.98, + "learning_rate": 2.3478990362634234e-07, + "loss": 0.7427, + "step": 5088 + }, + { + "epoch": 0.98, + "learning_rate": 2.3054203398743534e-07, + "loss": 0.7188, + "step": 5089 + }, + { + "epoch": 0.98, + "learning_rate": 2.2633289828729586e-07, + "loss": 0.7954, + "step": 5090 + }, + { + "epoch": 0.98, + "learning_rate": 2.221624981600168e-07, + "loss": 0.7649, + "step": 5091 + }, + { + "epoch": 0.98, + "learning_rate": 2.1803083522471402e-07, + "loss": 0.772, + "step": 5092 + }, + { + "epoch": 0.98, + "learning_rate": 2.139379110854267e-07, + "loss": 0.7266, + "step": 5093 + }, + { + "epoch": 0.98, + "learning_rate": 2.0988372733118379e-07, + "loss": 0.7632, + "step": 5094 + }, + { + "epoch": 0.98, + "learning_rate": 2.058682855359595e-07, + "loss": 0.8076, + "step": 5095 + }, + { + "epoch": 0.98, + "learning_rate": 2.0189158725867352e-07, + "loss": 0.7664, + "step": 5096 + }, + { + "epoch": 0.98, + "learning_rate": 1.979536340432131e-07, + "loss": 0.7479, + "step": 5097 + }, + { + "epoch": 0.98, + "learning_rate": 1.9405442741844416e-07, + "loss": 0.8477, + "step": 5098 + }, + { + "epoch": 0.98, + "learning_rate": 1.9019396889816688e-07, + "loss": 0.8186, + "step": 5099 + }, + { + "epoch": 0.98, + "learning_rate": 1.8637225998114906e-07, + "loss": 0.7863, + "step": 5100 + }, + { + "epoch": 0.98, + "learning_rate": 1.825893021510927e-07, + "loss": 0.7959, + "step": 5101 + }, + { + "epoch": 0.98, + "learning_rate": 1.788450968766897e-07, + "loss": 0.7582, + "step": 5102 + }, + { + "epoch": 0.98, + "learning_rate": 1.7513964561156615e-07, + "loss": 0.821, + "step": 5103 + }, + { + "epoch": 0.98, + "learning_rate": 1.7147294979429352e-07, + "loss": 0.814, + "step": 5104 + }, + { + "epoch": 0.98, + "learning_rate": 1.6784501084843308e-07, + "loss": 0.8638, + "step": 5105 + }, + { + "epoch": 0.98, + "learning_rate": 1.6425583018244706e-07, + "loss": 0.738, + "step": 5106 + }, + { + "epoch": 0.98, + "learning_rate": 1.607054091897986e-07, + "loss": 0.7537, + "step": 5107 + }, + { + "epoch": 0.98, + "learning_rate": 1.57193749248874e-07, + "loss": 0.832, + "step": 5108 + }, + { + "epoch": 0.98, + "learning_rate": 1.5372085172302708e-07, + "loss": 0.73, + "step": 5109 + }, + { + "epoch": 0.98, + "learning_rate": 1.5028671796055715e-07, + "loss": 0.804, + "step": 5110 + }, + { + "epoch": 0.98, + "learning_rate": 1.4689134929470882e-07, + "loss": 0.7308, + "step": 5111 + }, + { + "epoch": 0.98, + "learning_rate": 1.4353474704368319e-07, + "loss": 0.8572, + "step": 5112 + }, + { + "epoch": 0.98, + "learning_rate": 1.4021691251062673e-07, + "loss": 0.7903, + "step": 5113 + }, + { + "epoch": 0.98, + "learning_rate": 1.3693784698363133e-07, + "loss": 0.7272, + "step": 5114 + }, + { + "epoch": 0.98, + "learning_rate": 1.3369755173575637e-07, + "loss": 0.7817, + "step": 5115 + }, + { + "epoch": 0.98, + "learning_rate": 1.304960280249845e-07, + "loss": 0.3546, + "step": 5116 + }, + { + "epoch": 0.98, + "learning_rate": 1.273332770942659e-07, + "loss": 0.7861, + "step": 5117 + }, + { + "epoch": 0.98, + "learning_rate": 1.2420930017148502e-07, + "loss": 0.77, + "step": 5118 + }, + { + "epoch": 0.98, + "learning_rate": 1.211240984694717e-07, + "loss": 0.7538, + "step": 5119 + }, + { + "epoch": 0.98, + "learning_rate": 1.1807767318602336e-07, + "loss": 0.7761, + "step": 5120 + }, + { + "epoch": 0.99, + "learning_rate": 1.1507002550386059e-07, + "loss": 0.8149, + "step": 5121 + }, + { + "epoch": 0.99, + "learning_rate": 1.1210115659063825e-07, + "loss": 0.7407, + "step": 5122 + }, + { + "epoch": 0.99, + "learning_rate": 1.0917106759900097e-07, + "loss": 0.7404, + "step": 5123 + }, + { + "epoch": 0.99, + "learning_rate": 1.062797596664944e-07, + "loss": 0.7399, + "step": 5124 + }, + { + "epoch": 0.99, + "learning_rate": 1.034272339156206e-07, + "loss": 0.6935, + "step": 5125 + }, + { + "epoch": 0.99, + "learning_rate": 1.0061349145383813e-07, + "loss": 0.7927, + "step": 5126 + }, + { + "epoch": 0.99, + "learning_rate": 9.783853337353988e-08, + "loss": 0.8289, + "step": 5127 + }, + { + "epoch": 0.99, + "learning_rate": 9.510236075205292e-08, + "loss": 0.7766, + "step": 5128 + }, + { + "epoch": 0.99, + "learning_rate": 9.240497465164976e-08, + "loss": 0.822, + "step": 5129 + }, + { + "epoch": 0.99, + "learning_rate": 8.974637611955938e-08, + "loss": 0.7966, + "step": 5130 + }, + { + "epoch": 0.99, + "learning_rate": 8.712656618793391e-08, + "loss": 0.7544, + "step": 5131 + }, + { + "epoch": 0.99, + "learning_rate": 8.454554587388197e-08, + "loss": 0.7823, + "step": 5132 + }, + { + "epoch": 0.99, + "learning_rate": 8.200331617943536e-08, + "loss": 0.7822, + "step": 5133 + }, + { + "epoch": 0.99, + "learning_rate": 7.949987809158233e-08, + "loss": 0.8135, + "step": 5134 + }, + { + "epoch": 0.99, + "learning_rate": 7.703523258223432e-08, + "loss": 0.7562, + "step": 5135 + }, + { + "epoch": 0.99, + "learning_rate": 7.460938060825929e-08, + "loss": 0.8303, + "step": 5136 + }, + { + "epoch": 0.99, + "learning_rate": 7.222232311145937e-08, + "loss": 0.8352, + "step": 5137 + }, + { + "epoch": 0.99, + "learning_rate": 6.987406101855998e-08, + "loss": 0.7671, + "step": 5138 + }, + { + "epoch": 0.99, + "learning_rate": 6.756459524125402e-08, + "loss": 0.7756, + "step": 5139 + }, + { + "epoch": 0.99, + "learning_rate": 6.529392667613543e-08, + "loss": 0.8792, + "step": 5140 + }, + { + "epoch": 0.99, + "learning_rate": 6.306205620477678e-08, + "loss": 0.7581, + "step": 5141 + }, + { + "epoch": 0.99, + "learning_rate": 6.086898469365165e-08, + "loss": 0.7618, + "step": 5142 + }, + { + "epoch": 0.99, + "learning_rate": 5.8714712994190067e-08, + "loss": 0.8088, + "step": 5143 + }, + { + "epoch": 0.99, + "learning_rate": 5.659924194276745e-08, + "loss": 0.8022, + "step": 5144 + }, + { + "epoch": 0.99, + "learning_rate": 5.4522572360660164e-08, + "loss": 0.7935, + "step": 5145 + }, + { + "epoch": 0.99, + "learning_rate": 5.2484705054123286e-08, + "loss": 0.8179, + "step": 5146 + }, + { + "epoch": 0.99, + "learning_rate": 5.048564081431284e-08, + "loss": 0.722, + "step": 5147 + }, + { + "epoch": 0.99, + "learning_rate": 4.8525380417330236e-08, + "loss": 0.7791, + "step": 5148 + }, + { + "epoch": 0.99, + "learning_rate": 4.6603924624244456e-08, + "loss": 0.7379, + "step": 5149 + }, + { + "epoch": 0.99, + "learning_rate": 4.472127418099214e-08, + "loss": 0.7762, + "step": 5150 + }, + { + "epoch": 0.99, + "learning_rate": 4.287742981851084e-08, + "loss": 0.8005, + "step": 5151 + }, + { + "epoch": 0.99, + "learning_rate": 4.1072392252639036e-08, + "loss": 0.7008, + "step": 5152 + }, + { + "epoch": 0.99, + "learning_rate": 3.930616218414951e-08, + "loss": 0.7061, + "step": 5153 + }, + { + "epoch": 0.99, + "learning_rate": 3.7578740298749306e-08, + "loss": 0.7952, + "step": 5154 + }, + { + "epoch": 0.99, + "learning_rate": 3.5890127267090846e-08, + "loss": 0.7709, + "step": 5155 + }, + { + "epoch": 0.99, + "learning_rate": 3.424032374476083e-08, + "loss": 0.7842, + "step": 5156 + }, + { + "epoch": 0.99, + "learning_rate": 3.262933037224691e-08, + "loss": 0.7879, + "step": 5157 + }, + { + "epoch": 0.99, + "learning_rate": 3.105714777501545e-08, + "loss": 0.7466, + "step": 5158 + }, + { + "epoch": 0.99, + "learning_rate": 2.9523776563422644e-08, + "loss": 0.7349, + "step": 5159 + }, + { + "epoch": 0.99, + "learning_rate": 2.8029217332781188e-08, + "loss": 0.7905, + "step": 5160 + }, + { + "epoch": 0.99, + "learning_rate": 2.657347066333804e-08, + "loss": 0.7834, + "step": 5161 + }, + { + "epoch": 0.99, + "learning_rate": 2.5156537120263335e-08, + "loss": 0.6881, + "step": 5162 + }, + { + "epoch": 0.99, + "learning_rate": 2.3778417253650376e-08, + "loss": 0.7864, + "step": 5163 + }, + { + "epoch": 0.99, + "learning_rate": 2.243911159853784e-08, + "loss": 0.8149, + "step": 5164 + }, + { + "epoch": 0.99, + "learning_rate": 2.113862067488759e-08, + "loss": 0.3363, + "step": 5165 + }, + { + "epoch": 0.99, + "learning_rate": 1.9876944987606838e-08, + "loss": 0.7488, + "step": 5166 + }, + { + "epoch": 0.99, + "learning_rate": 1.8654085026503787e-08, + "loss": 0.8252, + "step": 5167 + }, + { + "epoch": 0.99, + "learning_rate": 1.747004126635421e-08, + "loss": 0.7893, + "step": 5168 + }, + { + "epoch": 0.99, + "learning_rate": 1.6324814166823744e-08, + "loss": 0.7454, + "step": 5169 + }, + { + "epoch": 0.99, + "learning_rate": 1.5218404172545608e-08, + "loss": 0.7368, + "step": 5170 + }, + { + "epoch": 0.99, + "learning_rate": 1.415081171305399e-08, + "loss": 0.7542, + "step": 5171 + }, + { + "epoch": 0.99, + "learning_rate": 1.3122037202828452e-08, + "loss": 0.7573, + "step": 5172 + }, + { + "epoch": 1.0, + "learning_rate": 1.2132081041282827e-08, + "loss": 0.7577, + "step": 5173 + }, + { + "epoch": 1.0, + "learning_rate": 1.1180943612754124e-08, + "loss": 0.8025, + "step": 5174 + }, + { + "epoch": 1.0, + "learning_rate": 1.0268625286491418e-08, + "loss": 0.746, + "step": 5175 + }, + { + "epoch": 1.0, + "learning_rate": 9.39512641668916e-09, + "loss": 0.7583, + "step": 5176 + }, + { + "epoch": 1.0, + "learning_rate": 8.560447342487176e-09, + "loss": 0.7324, + "step": 5177 + }, + { + "epoch": 1.0, + "learning_rate": 7.76458838791516e-09, + "loss": 0.7781, + "step": 5178 + }, + { + "epoch": 1.0, + "learning_rate": 7.0075498619703865e-09, + "loss": 0.7657, + "step": 5179 + }, + { + "epoch": 1.0, + "learning_rate": 6.28933205855109e-09, + "loss": 0.7903, + "step": 5180 + }, + { + "epoch": 1.0, + "learning_rate": 5.609935256500886e-09, + "loss": 0.7367, + "step": 5181 + }, + { + "epoch": 1.0, + "learning_rate": 4.9693597195865634e-09, + "loss": 0.7969, + "step": 5182 + }, + { + "epoch": 1.0, + "learning_rate": 4.367605696486976e-09, + "loss": 0.8192, + "step": 5183 + }, + { + "epoch": 1.0, + "learning_rate": 3.8046734208374565e-09, + "loss": 0.8357, + "step": 5184 + }, + { + "epoch": 1.0, + "learning_rate": 3.2805631111743062e-09, + "loss": 0.783, + "step": 5185 + }, + { + "epoch": 1.0, + "learning_rate": 2.7952749710014047e-09, + "loss": 0.7573, + "step": 5186 + }, + { + "epoch": 1.0, + "learning_rate": 2.348809188690293e-09, + "loss": 0.8369, + "step": 5187 + }, + { + "epoch": 1.0, + "learning_rate": 1.941165937602296e-09, + "loss": 0.7666, + "step": 5188 + }, + { + "epoch": 1.0, + "learning_rate": 1.5723453759886041e-09, + "loss": 0.77, + "step": 5189 + }, + { + "epoch": 1.0, + "learning_rate": 1.2423476470346806e-09, + "loss": 0.7549, + "step": 5190 + }, + { + "epoch": 1.0, + "learning_rate": 9.511728788602625e-10, + "loss": 0.8169, + "step": 5191 + }, + { + "epoch": 1.0, + "learning_rate": 6.988211845082582e-10, + "loss": 0.3004, + "step": 5192 + }, + { + "epoch": 1.0, + "learning_rate": 4.852926619447473e-10, + "loss": 0.8069, + "step": 5193 + }, + { + "epoch": 1.0, + "learning_rate": 3.1058739408118544e-10, + "loss": 0.8689, + "step": 5194 + }, + { + "epoch": 1.0, + "learning_rate": 1.7470544874109706e-10, + "loss": 0.7932, + "step": 5195 + }, + { + "epoch": 1.0, + "learning_rate": 7.764687866007592e-11, + "loss": 0.7651, + "step": 5196 + }, + { + "epoch": 1.0, + "learning_rate": 1.941172155239812e-11, + "loss": 0.8051, + "step": 5197 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 0.5033, + "step": 5198 + }, + { + "epoch": 1.0, + "step": 5198, + "total_flos": 7567157260779520.0, + "train_loss": 0.7976963913592067, + "train_runtime": 39477.0228, + "train_samples_per_second": 16.853, + "train_steps_per_second": 0.132 + } + ], + "max_steps": 5198, + "num_train_epochs": 1, + "total_flos": 7567157260779520.0, + "trial_name": null, + "trial_params": null +}