diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,31206 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 5196, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 1.282051282051282e-07, + "loss": 2.0289, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 2.564102564102564e-07, + "loss": 2.4079, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 3.846153846153847e-07, + "loss": 2.088, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 5.128205128205128e-07, + "loss": 2.1198, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 6.41025641025641e-07, + "loss": 1.681, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 7.692307692307694e-07, + "loss": 2.2155, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 8.974358974358975e-07, + "loss": 2.0642, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 1.0256410256410257e-06, + "loss": 2.2628, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 1.153846153846154e-06, + "loss": 2.3046, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 1.282051282051282e-06, + "loss": 1.6356, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 1.4102564102564104e-06, + "loss": 1.5188, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 1.5384615384615387e-06, + "loss": 2.076, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 1.6666666666666667e-06, + "loss": 1.9824, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 1.794871794871795e-06, + "loss": 1.9837, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 1.9230769230769234e-06, + "loss": 1.9433, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 2.0512820512820513e-06, + "loss": 1.8512, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 2.1794871794871797e-06, + "loss": 1.8475, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 2.307692307692308e-06, + "loss": 1.7028, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 2.435897435897436e-06, + "loss": 1.6973, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 2.564102564102564e-06, + "loss": 1.6044, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 2.6923076923076923e-06, + "loss": 1.6863, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 2.8205128205128207e-06, + "loss": 1.6615, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 2.948717948717949e-06, + "loss": 1.6563, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 3.0769230769230774e-06, + "loss": 1.451, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 3.205128205128206e-06, + "loss": 1.52, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 3.3333333333333333e-06, + "loss": 1.4187, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 3.4615384615384617e-06, + "loss": 1.285, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 3.58974358974359e-06, + "loss": 1.5586, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 3.7179487179487184e-06, + "loss": 1.4539, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 3.846153846153847e-06, + "loss": 1.3686, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 3.974358974358974e-06, + "loss": 1.3984, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 4.102564102564103e-06, + "loss": 1.3799, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 4.230769230769231e-06, + "loss": 1.3815, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 4.358974358974359e-06, + "loss": 1.3182, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 4.487179487179488e-06, + "loss": 1.2195, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 4.615384615384616e-06, + "loss": 1.1581, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 4.743589743589744e-06, + "loss": 1.3542, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 4.871794871794872e-06, + "loss": 1.3282, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 5e-06, + "loss": 1.255, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 5.128205128205128e-06, + "loss": 1.2622, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 5.256410256410257e-06, + "loss": 1.3536, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 5.384615384615385e-06, + "loss": 1.4133, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 5.512820512820514e-06, + "loss": 1.3722, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 5.641025641025641e-06, + "loss": 1.2925, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 5.769230769230769e-06, + "loss": 1.1946, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 5.897435897435898e-06, + "loss": 1.3762, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 6.025641025641026e-06, + "loss": 1.1833, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 6.153846153846155e-06, + "loss": 1.2521, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 6.282051282051282e-06, + "loss": 1.2318, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 6.410256410256412e-06, + "loss": 1.2775, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 6.538461538461539e-06, + "loss": 1.2034, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 6.666666666666667e-06, + "loss": 1.1371, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 6.794871794871796e-06, + "loss": 1.3038, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 6.923076923076923e-06, + "loss": 1.1845, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 7.051282051282053e-06, + "loss": 1.1447, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 7.17948717948718e-06, + "loss": 1.3128, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 7.307692307692308e-06, + "loss": 1.147, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 7.435897435897437e-06, + "loss": 1.2083, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 7.564102564102564e-06, + "loss": 1.2069, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 7.692307692307694e-06, + "loss": 1.1371, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 7.820512820512822e-06, + "loss": 1.2251, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 7.948717948717949e-06, + "loss": 1.2171, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 8.076923076923077e-06, + "loss": 1.2235, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 8.205128205128205e-06, + "loss": 1.1625, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 8.333333333333334e-06, + "loss": 1.2939, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 8.461538461538462e-06, + "loss": 1.2197, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 8.58974358974359e-06, + "loss": 1.1078, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 8.717948717948719e-06, + "loss": 1.205, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 8.846153846153847e-06, + "loss": 1.1984, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 8.974358974358976e-06, + "loss": 1.22, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 9.102564102564104e-06, + "loss": 1.0869, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 9.230769230769232e-06, + "loss": 1.2522, + "step": 72 + }, + { + "epoch": 0.01, + "learning_rate": 9.358974358974359e-06, + "loss": 1.1288, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 9.487179487179487e-06, + "loss": 1.1874, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 9.615384615384616e-06, + "loss": 1.1303, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 9.743589743589744e-06, + "loss": 1.2019, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 9.871794871794872e-06, + "loss": 1.228, + "step": 77 + }, + { + "epoch": 0.02, + "learning_rate": 1e-05, + "loss": 1.1695, + "step": 78 + }, + { + "epoch": 0.02, + "learning_rate": 1.012820512820513e-05, + "loss": 1.2522, + "step": 79 + }, + { + "epoch": 0.02, + "learning_rate": 1.0256410256410256e-05, + "loss": 1.2162, + "step": 80 + }, + { + "epoch": 0.02, + "learning_rate": 1.0384615384615386e-05, + "loss": 1.1754, + "step": 81 + }, + { + "epoch": 0.02, + "learning_rate": 1.0512820512820514e-05, + "loss": 1.1709, + "step": 82 + }, + { + "epoch": 0.02, + "learning_rate": 1.0641025641025643e-05, + "loss": 1.2332, + "step": 83 + }, + { + "epoch": 0.02, + "learning_rate": 1.076923076923077e-05, + "loss": 1.2114, + "step": 84 + }, + { + "epoch": 0.02, + "learning_rate": 1.0897435897435898e-05, + "loss": 1.1665, + "step": 85 + }, + { + "epoch": 0.02, + "learning_rate": 1.1025641025641028e-05, + "loss": 1.2874, + "step": 86 + }, + { + "epoch": 0.02, + "learning_rate": 1.1153846153846154e-05, + "loss": 1.2571, + "step": 87 + }, + { + "epoch": 0.02, + "learning_rate": 1.1282051282051283e-05, + "loss": 1.1274, + "step": 88 + }, + { + "epoch": 0.02, + "learning_rate": 1.1410256410256411e-05, + "loss": 1.2553, + "step": 89 + }, + { + "epoch": 0.02, + "learning_rate": 1.1538461538461538e-05, + "loss": 1.1493, + "step": 90 + }, + { + "epoch": 0.02, + "learning_rate": 1.1666666666666668e-05, + "loss": 1.1526, + "step": 91 + }, + { + "epoch": 0.02, + "learning_rate": 1.1794871794871796e-05, + "loss": 1.1467, + "step": 92 + }, + { + "epoch": 0.02, + "learning_rate": 1.1923076923076925e-05, + "loss": 1.1728, + "step": 93 + }, + { + "epoch": 0.02, + "learning_rate": 1.2051282051282051e-05, + "loss": 1.1352, + "step": 94 + }, + { + "epoch": 0.02, + "learning_rate": 1.217948717948718e-05, + "loss": 1.0365, + "step": 95 + }, + { + "epoch": 0.02, + "learning_rate": 1.230769230769231e-05, + "loss": 1.2018, + "step": 96 + }, + { + "epoch": 0.02, + "learning_rate": 1.2435897435897436e-05, + "loss": 1.1671, + "step": 97 + }, + { + "epoch": 0.02, + "learning_rate": 1.2564102564102565e-05, + "loss": 1.0772, + "step": 98 + }, + { + "epoch": 0.02, + "learning_rate": 1.2692307692307693e-05, + "loss": 1.1806, + "step": 99 + }, + { + "epoch": 0.02, + "learning_rate": 1.2820512820512823e-05, + "loss": 1.1411, + "step": 100 + }, + { + "epoch": 0.02, + "learning_rate": 1.294871794871795e-05, + "loss": 1.1551, + "step": 101 + }, + { + "epoch": 0.02, + "learning_rate": 1.3076923076923078e-05, + "loss": 1.1134, + "step": 102 + }, + { + "epoch": 0.02, + "learning_rate": 1.3205128205128207e-05, + "loss": 1.1755, + "step": 103 + }, + { + "epoch": 0.02, + "learning_rate": 1.3333333333333333e-05, + "loss": 1.1618, + "step": 104 + }, + { + "epoch": 0.02, + "learning_rate": 1.3461538461538463e-05, + "loss": 1.1969, + "step": 105 + }, + { + "epoch": 0.02, + "learning_rate": 1.3589743589743592e-05, + "loss": 1.0943, + "step": 106 + }, + { + "epoch": 0.02, + "learning_rate": 1.3717948717948718e-05, + "loss": 1.1427, + "step": 107 + }, + { + "epoch": 0.02, + "learning_rate": 1.3846153846153847e-05, + "loss": 1.1351, + "step": 108 + }, + { + "epoch": 0.02, + "learning_rate": 1.3974358974358975e-05, + "loss": 1.1639, + "step": 109 + }, + { + "epoch": 0.02, + "learning_rate": 1.4102564102564105e-05, + "loss": 1.0737, + "step": 110 + }, + { + "epoch": 0.02, + "learning_rate": 1.4230769230769232e-05, + "loss": 1.1136, + "step": 111 + }, + { + "epoch": 0.02, + "learning_rate": 1.435897435897436e-05, + "loss": 1.1477, + "step": 112 + }, + { + "epoch": 0.02, + "learning_rate": 1.4487179487179489e-05, + "loss": 1.1502, + "step": 113 + }, + { + "epoch": 0.02, + "learning_rate": 1.4615384615384615e-05, + "loss": 1.2318, + "step": 114 + }, + { + "epoch": 0.02, + "learning_rate": 1.4743589743589745e-05, + "loss": 1.1135, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 1.4871794871794874e-05, + "loss": 1.0493, + "step": 116 + }, + { + "epoch": 0.02, + "learning_rate": 1.5000000000000002e-05, + "loss": 1.153, + "step": 117 + }, + { + "epoch": 0.02, + "learning_rate": 1.5128205128205129e-05, + "loss": 1.228, + "step": 118 + }, + { + "epoch": 0.02, + "learning_rate": 1.5256410256410257e-05, + "loss": 1.0889, + "step": 119 + }, + { + "epoch": 0.02, + "learning_rate": 1.5384615384615387e-05, + "loss": 1.176, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 1.5512820512820516e-05, + "loss": 1.1382, + "step": 121 + }, + { + "epoch": 0.02, + "learning_rate": 1.5641025641025644e-05, + "loss": 1.1459, + "step": 122 + }, + { + "epoch": 0.02, + "learning_rate": 1.576923076923077e-05, + "loss": 1.0938, + "step": 123 + }, + { + "epoch": 0.02, + "learning_rate": 1.5897435897435897e-05, + "loss": 1.1411, + "step": 124 + }, + { + "epoch": 0.02, + "learning_rate": 1.602564102564103e-05, + "loss": 1.1555, + "step": 125 + }, + { + "epoch": 0.02, + "learning_rate": 1.6153846153846154e-05, + "loss": 1.2071, + "step": 126 + }, + { + "epoch": 0.02, + "learning_rate": 1.6282051282051282e-05, + "loss": 1.202, + "step": 127 + }, + { + "epoch": 0.02, + "learning_rate": 1.641025641025641e-05, + "loss": 1.0986, + "step": 128 + }, + { + "epoch": 0.02, + "learning_rate": 1.653846153846154e-05, + "loss": 1.2085, + "step": 129 + }, + { + "epoch": 0.03, + "learning_rate": 1.6666666666666667e-05, + "loss": 1.1065, + "step": 130 + }, + { + "epoch": 0.03, + "learning_rate": 1.6794871794871796e-05, + "loss": 1.2245, + "step": 131 + }, + { + "epoch": 0.03, + "learning_rate": 1.6923076923076924e-05, + "loss": 1.0971, + "step": 132 + }, + { + "epoch": 0.03, + "learning_rate": 1.7051282051282053e-05, + "loss": 1.0526, + "step": 133 + }, + { + "epoch": 0.03, + "learning_rate": 1.717948717948718e-05, + "loss": 1.1089, + "step": 134 + }, + { + "epoch": 0.03, + "learning_rate": 1.730769230769231e-05, + "loss": 1.0598, + "step": 135 + }, + { + "epoch": 0.03, + "learning_rate": 1.7435897435897438e-05, + "loss": 1.1934, + "step": 136 + }, + { + "epoch": 0.03, + "learning_rate": 1.7564102564102566e-05, + "loss": 1.0332, + "step": 137 + }, + { + "epoch": 0.03, + "learning_rate": 1.7692307692307694e-05, + "loss": 1.072, + "step": 138 + }, + { + "epoch": 0.03, + "learning_rate": 1.7820512820512823e-05, + "loss": 1.0399, + "step": 139 + }, + { + "epoch": 0.03, + "learning_rate": 1.794871794871795e-05, + "loss": 1.106, + "step": 140 + }, + { + "epoch": 0.03, + "learning_rate": 1.807692307692308e-05, + "loss": 1.1862, + "step": 141 + }, + { + "epoch": 0.03, + "learning_rate": 1.8205128205128208e-05, + "loss": 1.1655, + "step": 142 + }, + { + "epoch": 0.03, + "learning_rate": 1.8333333333333333e-05, + "loss": 1.0628, + "step": 143 + }, + { + "epoch": 0.03, + "learning_rate": 1.8461538461538465e-05, + "loss": 1.1456, + "step": 144 + }, + { + "epoch": 0.03, + "learning_rate": 1.8589743589743593e-05, + "loss": 0.9894, + "step": 145 + }, + { + "epoch": 0.03, + "learning_rate": 1.8717948717948718e-05, + "loss": 1.1823, + "step": 146 + }, + { + "epoch": 0.03, + "learning_rate": 1.8846153846153846e-05, + "loss": 1.1815, + "step": 147 + }, + { + "epoch": 0.03, + "learning_rate": 1.8974358974358975e-05, + "loss": 1.1163, + "step": 148 + }, + { + "epoch": 0.03, + "learning_rate": 1.9102564102564106e-05, + "loss": 1.0292, + "step": 149 + }, + { + "epoch": 0.03, + "learning_rate": 1.923076923076923e-05, + "loss": 1.131, + "step": 150 + }, + { + "epoch": 0.03, + "learning_rate": 1.935897435897436e-05, + "loss": 1.0933, + "step": 151 + }, + { + "epoch": 0.03, + "learning_rate": 1.9487179487179488e-05, + "loss": 1.1235, + "step": 152 + }, + { + "epoch": 0.03, + "learning_rate": 1.9615384615384617e-05, + "loss": 1.1528, + "step": 153 + }, + { + "epoch": 0.03, + "learning_rate": 1.9743589743589745e-05, + "loss": 1.1787, + "step": 154 + }, + { + "epoch": 0.03, + "learning_rate": 1.9871794871794873e-05, + "loss": 1.0533, + "step": 155 + }, + { + "epoch": 0.03, + "learning_rate": 2e-05, + "loss": 1.1356, + "step": 156 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999998057286928e-05, + "loss": 1.0116, + "step": 157 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999992229148463e-05, + "loss": 1.1501, + "step": 158 + }, + { + "epoch": 0.03, + "learning_rate": 1.999998251558687e-05, + "loss": 1.1242, + "step": 159 + }, + { + "epoch": 0.03, + "learning_rate": 1.999996891660592e-05, + "loss": 1.155, + "step": 160 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999951432210905e-05, + "loss": 1.1505, + "step": 161 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999930062408612e-05, + "loss": 1.0964, + "step": 162 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999904807207348e-05, + "loss": 1.0453, + "step": 163 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999875666616918e-05, + "loss": 1.0993, + "step": 164 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999842640648656e-05, + "loss": 1.1166, + "step": 165 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999805729315383e-05, + "loss": 1.171, + "step": 166 + }, + { + "epoch": 0.03, + "learning_rate": 1.999976493263145e-05, + "loss": 1.107, + "step": 167 + }, + { + "epoch": 0.03, + "learning_rate": 1.99997202506127e-05, + "loss": 1.1136, + "step": 168 + }, + { + "epoch": 0.03, + "learning_rate": 1.99996716832765e-05, + "loss": 1.119, + "step": 169 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999619230641714e-05, + "loss": 1.1061, + "step": 170 + }, + { + "epoch": 0.03, + "learning_rate": 1.999956289272873e-05, + "loss": 1.1551, + "step": 171 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999502669559432e-05, + "loss": 1.1447, + "step": 172 + }, + { + "epoch": 0.03, + "learning_rate": 1.999943856115722e-05, + "loss": 1.1557, + "step": 173 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999370567547008e-05, + "loss": 1.0576, + "step": 174 + }, + { + "epoch": 0.03, + "learning_rate": 1.999929868875521e-05, + "loss": 1.0175, + "step": 175 + }, + { + "epoch": 0.03, + "learning_rate": 1.999922292480975e-05, + "loss": 1.1381, + "step": 176 + }, + { + "epoch": 0.03, + "learning_rate": 1.999914327574007e-05, + "loss": 1.0923, + "step": 177 + }, + { + "epoch": 0.03, + "learning_rate": 1.999905974157712e-05, + "loss": 1.0264, + "step": 178 + }, + { + "epoch": 0.03, + "learning_rate": 1.9998972322353353e-05, + "loss": 1.1282, + "step": 179 + }, + { + "epoch": 0.03, + "learning_rate": 1.9998881018102735e-05, + "loss": 1.0994, + "step": 180 + }, + { + "epoch": 0.03, + "learning_rate": 1.9998785828860744e-05, + "loss": 1.094, + "step": 181 + }, + { + "epoch": 0.04, + "learning_rate": 1.999868675466436e-05, + "loss": 1.2005, + "step": 182 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998583795552086e-05, + "loss": 1.0558, + "step": 183 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998476951563914e-05, + "loss": 1.0649, + "step": 184 + }, + { + "epoch": 0.04, + "learning_rate": 1.999836622274137e-05, + "loss": 1.095, + "step": 185 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998251609127465e-05, + "loss": 1.1476, + "step": 186 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998133110766744e-05, + "loss": 1.0925, + "step": 187 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998010727705237e-05, + "loss": 1.1708, + "step": 188 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997884459990502e-05, + "loss": 1.098, + "step": 189 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997754307671597e-05, + "loss": 1.1102, + "step": 190 + }, + { + "epoch": 0.04, + "learning_rate": 1.999762027079909e-05, + "loss": 1.03, + "step": 191 + }, + { + "epoch": 0.04, + "learning_rate": 1.999748234942507e-05, + "loss": 1.152, + "step": 192 + }, + { + "epoch": 0.04, + "learning_rate": 1.999734054360311e-05, + "loss": 1.0649, + "step": 193 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997194853388316e-05, + "loss": 1.0604, + "step": 194 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997045278837298e-05, + "loss": 1.0335, + "step": 195 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996891820008165e-05, + "loss": 1.1953, + "step": 196 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996734476960547e-05, + "loss": 1.0993, + "step": 197 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996573249755573e-05, + "loss": 1.1309, + "step": 198 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996408138455896e-05, + "loss": 1.0549, + "step": 199 + }, + { + "epoch": 0.04, + "learning_rate": 1.999623914312566e-05, + "loss": 1.1433, + "step": 200 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996066263830533e-05, + "loss": 1.0418, + "step": 201 + }, + { + "epoch": 0.04, + "learning_rate": 1.999588950063768e-05, + "loss": 1.0035, + "step": 202 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995708853615783e-05, + "loss": 1.1192, + "step": 203 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995524322835035e-05, + "loss": 1.0583, + "step": 204 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995335908367132e-05, + "loss": 1.1182, + "step": 205 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995143610285275e-05, + "loss": 1.0305, + "step": 206 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994947428664194e-05, + "loss": 1.1682, + "step": 207 + }, + { + "epoch": 0.04, + "learning_rate": 1.99947473635801e-05, + "loss": 1.0805, + "step": 208 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994543415110733e-05, + "loss": 1.0574, + "step": 209 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994335583335336e-05, + "loss": 1.1781, + "step": 210 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994123868334655e-05, + "loss": 1.1119, + "step": 211 + }, + { + "epoch": 0.04, + "learning_rate": 1.999390827019096e-05, + "loss": 1.0496, + "step": 212 + }, + { + "epoch": 0.04, + "learning_rate": 1.999368878898801e-05, + "loss": 1.1304, + "step": 213 + }, + { + "epoch": 0.04, + "learning_rate": 1.999346542481109e-05, + "loss": 1.1089, + "step": 214 + }, + { + "epoch": 0.04, + "learning_rate": 1.999323817774698e-05, + "loss": 0.9662, + "step": 215 + }, + { + "epoch": 0.04, + "learning_rate": 1.9993007047883988e-05, + "loss": 1.0536, + "step": 216 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992772035311902e-05, + "loss": 1.0756, + "step": 217 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992533140122044e-05, + "loss": 1.0918, + "step": 218 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992290362407232e-05, + "loss": 1.1096, + "step": 219 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992043702261795e-05, + "loss": 0.9712, + "step": 220 + }, + { + "epoch": 0.04, + "learning_rate": 1.999179315978157e-05, + "loss": 1.1106, + "step": 221 + }, + { + "epoch": 0.04, + "learning_rate": 1.9991538735063906e-05, + "loss": 1.0294, + "step": 222 + }, + { + "epoch": 0.04, + "learning_rate": 1.999128042820766e-05, + "loss": 1.1178, + "step": 223 + }, + { + "epoch": 0.04, + "learning_rate": 1.999101823931319e-05, + "loss": 1.1479, + "step": 224 + }, + { + "epoch": 0.04, + "learning_rate": 1.999075216848237e-05, + "loss": 1.0358, + "step": 225 + }, + { + "epoch": 0.04, + "learning_rate": 1.999048221581858e-05, + "loss": 1.1272, + "step": 226 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990208381426708e-05, + "loss": 1.1467, + "step": 227 + }, + { + "epoch": 0.04, + "learning_rate": 1.9989930665413148e-05, + "loss": 1.0577, + "step": 228 + }, + { + "epoch": 0.04, + "learning_rate": 1.9989649067885808e-05, + "loss": 1.1519, + "step": 229 + }, + { + "epoch": 0.04, + "learning_rate": 1.99893635889541e-05, + "loss": 1.1334, + "step": 230 + }, + { + "epoch": 0.04, + "learning_rate": 1.9989074228728942e-05, + "loss": 1.0791, + "step": 231 + }, + { + "epoch": 0.04, + "learning_rate": 1.998878098732277e-05, + "loss": 1.1218, + "step": 232 + }, + { + "epoch": 0.04, + "learning_rate": 1.998848386484951e-05, + "loss": 1.0754, + "step": 233 + }, + { + "epoch": 0.05, + "learning_rate": 1.9988182861424613e-05, + "loss": 1.1915, + "step": 234 + }, + { + "epoch": 0.05, + "learning_rate": 1.998787797716503e-05, + "loss": 1.0754, + "step": 235 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987569212189224e-05, + "loss": 1.1749, + "step": 236 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987256566617165e-05, + "loss": 1.0293, + "step": 237 + }, + { + "epoch": 0.05, + "learning_rate": 1.9986940040570323e-05, + "loss": 1.0613, + "step": 238 + }, + { + "epoch": 0.05, + "learning_rate": 1.9986619634171682e-05, + "loss": 1.0087, + "step": 239 + }, + { + "epoch": 0.05, + "learning_rate": 1.9986295347545738e-05, + "loss": 1.2106, + "step": 240 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985967180818493e-05, + "loss": 1.0838, + "step": 241 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985635134117445e-05, + "loss": 1.009, + "step": 242 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985299207571614e-05, + "loss": 1.0891, + "step": 243 + }, + { + "epoch": 0.05, + "learning_rate": 1.998495940131152e-05, + "loss": 1.0915, + "step": 244 + }, + { + "epoch": 0.05, + "learning_rate": 1.998461571546919e-05, + "loss": 1.0353, + "step": 245 + }, + { + "epoch": 0.05, + "learning_rate": 1.998426815017817e-05, + "loss": 1.1262, + "step": 246 + }, + { + "epoch": 0.05, + "learning_rate": 1.998391670557349e-05, + "loss": 1.0292, + "step": 247 + }, + { + "epoch": 0.05, + "learning_rate": 1.998356138179171e-05, + "loss": 1.0473, + "step": 248 + }, + { + "epoch": 0.05, + "learning_rate": 1.998320217897089e-05, + "loss": 1.1385, + "step": 249 + }, + { + "epoch": 0.05, + "learning_rate": 1.9982839097250588e-05, + "loss": 1.147, + "step": 250 + }, + { + "epoch": 0.05, + "learning_rate": 1.998247213677188e-05, + "loss": 1.092, + "step": 251 + }, + { + "epoch": 0.05, + "learning_rate": 1.998210129767735e-05, + "loss": 1.1367, + "step": 252 + }, + { + "epoch": 0.05, + "learning_rate": 1.9981726580111087e-05, + "loss": 1.0386, + "step": 253 + }, + { + "epoch": 0.05, + "learning_rate": 1.998134798421867e-05, + "loss": 1.0549, + "step": 254 + }, + { + "epoch": 0.05, + "learning_rate": 1.9980965510147214e-05, + "loss": 1.0956, + "step": 255 + }, + { + "epoch": 0.05, + "learning_rate": 1.9980579158045322e-05, + "loss": 1.1194, + "step": 256 + }, + { + "epoch": 0.05, + "learning_rate": 1.9980188928063103e-05, + "loss": 1.0167, + "step": 257 + }, + { + "epoch": 0.05, + "learning_rate": 1.9979794820352187e-05, + "loss": 1.0148, + "step": 258 + }, + { + "epoch": 0.05, + "learning_rate": 1.9979396835065696e-05, + "loss": 1.0953, + "step": 259 + }, + { + "epoch": 0.05, + "learning_rate": 1.9978994972358265e-05, + "loss": 1.0042, + "step": 260 + }, + { + "epoch": 0.05, + "learning_rate": 1.9978589232386036e-05, + "loss": 1.0701, + "step": 261 + }, + { + "epoch": 0.05, + "learning_rate": 1.9978179615306658e-05, + "loss": 1.0994, + "step": 262 + }, + { + "epoch": 0.05, + "learning_rate": 1.997776612127928e-05, + "loss": 1.1132, + "step": 263 + }, + { + "epoch": 0.05, + "learning_rate": 1.997734875046456e-05, + "loss": 1.0744, + "step": 264 + }, + { + "epoch": 0.05, + "learning_rate": 1.9976927503024677e-05, + "loss": 1.1207, + "step": 265 + }, + { + "epoch": 0.05, + "learning_rate": 1.997650237912329e-05, + "loss": 1.0443, + "step": 266 + }, + { + "epoch": 0.05, + "learning_rate": 1.9976073378925586e-05, + "loss": 0.993, + "step": 267 + }, + { + "epoch": 0.05, + "learning_rate": 1.9975640502598243e-05, + "loss": 1.1176, + "step": 268 + }, + { + "epoch": 0.05, + "learning_rate": 1.997520375030946e-05, + "loss": 1.095, + "step": 269 + }, + { + "epoch": 0.05, + "learning_rate": 1.9974763122228927e-05, + "loss": 1.1047, + "step": 270 + }, + { + "epoch": 0.05, + "learning_rate": 1.997431861852785e-05, + "loss": 1.0224, + "step": 271 + }, + { + "epoch": 0.05, + "learning_rate": 1.9973870239378938e-05, + "loss": 1.0847, + "step": 272 + }, + { + "epoch": 0.05, + "learning_rate": 1.9973417984956404e-05, + "loss": 1.0334, + "step": 273 + }, + { + "epoch": 0.05, + "learning_rate": 1.997296185543597e-05, + "loss": 1.1478, + "step": 274 + }, + { + "epoch": 0.05, + "learning_rate": 1.9972501850994857e-05, + "loss": 1.1012, + "step": 275 + }, + { + "epoch": 0.05, + "learning_rate": 1.9972037971811802e-05, + "loss": 1.0419, + "step": 276 + }, + { + "epoch": 0.05, + "learning_rate": 1.997157021806704e-05, + "loss": 1.1324, + "step": 277 + }, + { + "epoch": 0.05, + "learning_rate": 1.9971098589942314e-05, + "loss": 1.0756, + "step": 278 + }, + { + "epoch": 0.05, + "learning_rate": 1.9970623087620867e-05, + "loss": 1.1234, + "step": 279 + }, + { + "epoch": 0.05, + "learning_rate": 1.997014371128746e-05, + "loss": 1.0965, + "step": 280 + }, + { + "epoch": 0.05, + "learning_rate": 1.996966046112834e-05, + "loss": 1.0907, + "step": 281 + }, + { + "epoch": 0.05, + "learning_rate": 1.9969173337331283e-05, + "loss": 1.0507, + "step": 282 + }, + { + "epoch": 0.05, + "learning_rate": 1.9968682340085546e-05, + "loss": 1.0709, + "step": 283 + }, + { + "epoch": 0.05, + "learning_rate": 1.996818746958191e-05, + "loss": 0.9725, + "step": 284 + }, + { + "epoch": 0.05, + "learning_rate": 1.996768872601265e-05, + "loss": 1.0519, + "step": 285 + }, + { + "epoch": 0.06, + "learning_rate": 1.996718610957155e-05, + "loss": 1.1012, + "step": 286 + }, + { + "epoch": 0.06, + "learning_rate": 1.9966679620453903e-05, + "loss": 1.1617, + "step": 287 + }, + { + "epoch": 0.06, + "learning_rate": 1.9966169258856488e-05, + "loss": 0.9745, + "step": 288 + }, + { + "epoch": 0.06, + "learning_rate": 1.9965655024977617e-05, + "loss": 1.0358, + "step": 289 + }, + { + "epoch": 0.06, + "learning_rate": 1.996513691901708e-05, + "loss": 1.0371, + "step": 290 + }, + { + "epoch": 0.06, + "learning_rate": 1.9964614941176194e-05, + "loss": 1.1543, + "step": 291 + }, + { + "epoch": 0.06, + "learning_rate": 1.996408909165776e-05, + "loss": 1.0849, + "step": 292 + }, + { + "epoch": 0.06, + "learning_rate": 1.99635593706661e-05, + "loss": 1.1629, + "step": 293 + }, + { + "epoch": 0.06, + "learning_rate": 1.996302577840703e-05, + "loss": 1.045, + "step": 294 + }, + { + "epoch": 0.06, + "learning_rate": 1.9962488315087872e-05, + "loss": 1.1542, + "step": 295 + }, + { + "epoch": 0.06, + "learning_rate": 1.9961946980917457e-05, + "loss": 1.0251, + "step": 296 + }, + { + "epoch": 0.06, + "learning_rate": 1.9961401776106113e-05, + "loss": 1.0204, + "step": 297 + }, + { + "epoch": 0.06, + "learning_rate": 1.996085270086568e-05, + "loss": 1.0564, + "step": 298 + }, + { + "epoch": 0.06, + "learning_rate": 1.996029975540949e-05, + "loss": 1.1413, + "step": 299 + }, + { + "epoch": 0.06, + "learning_rate": 1.9959742939952393e-05, + "loss": 1.1091, + "step": 300 + }, + { + "epoch": 0.06, + "learning_rate": 1.995918225471073e-05, + "loss": 0.9396, + "step": 301 + }, + { + "epoch": 0.06, + "learning_rate": 1.9958617699902354e-05, + "loss": 1.1205, + "step": 302 + }, + { + "epoch": 0.06, + "learning_rate": 1.9958049275746617e-05, + "loss": 1.1216, + "step": 303 + }, + { + "epoch": 0.06, + "learning_rate": 1.9957476982464382e-05, + "loss": 1.0588, + "step": 304 + }, + { + "epoch": 0.06, + "learning_rate": 1.9956900820278e-05, + "loss": 1.0826, + "step": 305 + }, + { + "epoch": 0.06, + "learning_rate": 1.9956320789411338e-05, + "loss": 1.0194, + "step": 306 + }, + { + "epoch": 0.06, + "learning_rate": 1.9955736890089768e-05, + "loss": 0.9977, + "step": 307 + }, + { + "epoch": 0.06, + "learning_rate": 1.995514912254015e-05, + "loss": 1.1103, + "step": 308 + }, + { + "epoch": 0.06, + "learning_rate": 1.995455748699087e-05, + "loss": 1.0721, + "step": 309 + }, + { + "epoch": 0.06, + "learning_rate": 1.9953961983671792e-05, + "loss": 1.1268, + "step": 310 + }, + { + "epoch": 0.06, + "learning_rate": 1.9953362612814294e-05, + "loss": 1.0631, + "step": 311 + }, + { + "epoch": 0.06, + "learning_rate": 1.9952759374651266e-05, + "loss": 1.0115, + "step": 312 + }, + { + "epoch": 0.06, + "learning_rate": 1.9952152269417088e-05, + "loss": 1.1039, + "step": 313 + }, + { + "epoch": 0.06, + "learning_rate": 1.9951541297347642e-05, + "loss": 0.9679, + "step": 314 + }, + { + "epoch": 0.06, + "learning_rate": 1.995092645868032e-05, + "loss": 1.1295, + "step": 315 + }, + { + "epoch": 0.06, + "learning_rate": 1.9950307753654016e-05, + "loss": 1.0295, + "step": 316 + }, + { + "epoch": 0.06, + "learning_rate": 1.9949685182509117e-05, + "loss": 1.046, + "step": 317 + }, + { + "epoch": 0.06, + "learning_rate": 1.9949058745487524e-05, + "loss": 1.1198, + "step": 318 + }, + { + "epoch": 0.06, + "learning_rate": 1.9948428442832633e-05, + "loss": 1.0541, + "step": 319 + }, + { + "epoch": 0.06, + "learning_rate": 1.994779427478934e-05, + "loss": 1.1398, + "step": 320 + }, + { + "epoch": 0.06, + "learning_rate": 1.994715624160405e-05, + "loss": 1.0591, + "step": 321 + }, + { + "epoch": 0.06, + "learning_rate": 1.994651434352467e-05, + "loss": 1.0551, + "step": 322 + }, + { + "epoch": 0.06, + "learning_rate": 1.9945868580800593e-05, + "loss": 1.0887, + "step": 323 + }, + { + "epoch": 0.06, + "learning_rate": 1.9945218953682736e-05, + "loss": 1.1275, + "step": 324 + }, + { + "epoch": 0.06, + "learning_rate": 1.9944565462423502e-05, + "loss": 1.1355, + "step": 325 + }, + { + "epoch": 0.06, + "learning_rate": 1.99439081072768e-05, + "loss": 1.0446, + "step": 326 + }, + { + "epoch": 0.06, + "learning_rate": 1.994324688849804e-05, + "loss": 1.0392, + "step": 327 + }, + { + "epoch": 0.06, + "learning_rate": 1.994258180634414e-05, + "loss": 1.003, + "step": 328 + }, + { + "epoch": 0.06, + "learning_rate": 1.9941912861073507e-05, + "loss": 1.0453, + "step": 329 + }, + { + "epoch": 0.06, + "learning_rate": 1.9941240052946055e-05, + "loss": 1.0967, + "step": 330 + }, + { + "epoch": 0.06, + "learning_rate": 1.9940563382223196e-05, + "loss": 1.0703, + "step": 331 + }, + { + "epoch": 0.06, + "learning_rate": 1.9939882849167853e-05, + "loss": 1.0884, + "step": 332 + }, + { + "epoch": 0.06, + "learning_rate": 1.993919845404444e-05, + "loss": 1.0667, + "step": 333 + }, + { + "epoch": 0.06, + "learning_rate": 1.9938510197118868e-05, + "loss": 1.0936, + "step": 334 + }, + { + "epoch": 0.06, + "learning_rate": 1.9937818078658556e-05, + "loss": 1.0925, + "step": 335 + }, + { + "epoch": 0.06, + "learning_rate": 1.9937122098932428e-05, + "loss": 1.0911, + "step": 336 + }, + { + "epoch": 0.06, + "learning_rate": 1.9936422258210894e-05, + "loss": 1.0744, + "step": 337 + }, + { + "epoch": 0.07, + "learning_rate": 1.9935718556765878e-05, + "loss": 1.1138, + "step": 338 + }, + { + "epoch": 0.07, + "learning_rate": 1.993501099487079e-05, + "loss": 0.9918, + "step": 339 + }, + { + "epoch": 0.07, + "learning_rate": 1.9934299572800556e-05, + "loss": 1.1455, + "step": 340 + }, + { + "epoch": 0.07, + "learning_rate": 1.9933584290831593e-05, + "loss": 1.0822, + "step": 341 + }, + { + "epoch": 0.07, + "learning_rate": 1.9932865149241813e-05, + "loss": 1.1087, + "step": 342 + }, + { + "epoch": 0.07, + "learning_rate": 1.9932142148310638e-05, + "loss": 1.0798, + "step": 343 + }, + { + "epoch": 0.07, + "learning_rate": 1.9931415288318985e-05, + "loss": 1.0266, + "step": 344 + }, + { + "epoch": 0.07, + "learning_rate": 1.9930684569549265e-05, + "loss": 1.0844, + "step": 345 + }, + { + "epoch": 0.07, + "learning_rate": 1.9929949992285397e-05, + "loss": 1.0214, + "step": 346 + }, + { + "epoch": 0.07, + "learning_rate": 1.9929211556812794e-05, + "loss": 1.089, + "step": 347 + }, + { + "epoch": 0.07, + "learning_rate": 1.9928469263418376e-05, + "loss": 1.1147, + "step": 348 + }, + { + "epoch": 0.07, + "learning_rate": 1.9927723112390547e-05, + "loss": 1.0873, + "step": 349 + }, + { + "epoch": 0.07, + "learning_rate": 1.992697310401922e-05, + "loss": 0.9786, + "step": 350 + }, + { + "epoch": 0.07, + "learning_rate": 1.992621923859581e-05, + "loss": 1.1397, + "step": 351 + }, + { + "epoch": 0.07, + "learning_rate": 1.9925461516413224e-05, + "loss": 0.9804, + "step": 352 + }, + { + "epoch": 0.07, + "learning_rate": 1.9924699937765863e-05, + "loss": 1.033, + "step": 353 + }, + { + "epoch": 0.07, + "learning_rate": 1.9923934502949645e-05, + "loss": 1.1269, + "step": 354 + }, + { + "epoch": 0.07, + "learning_rate": 1.992316521226196e-05, + "loss": 1.043, + "step": 355 + }, + { + "epoch": 0.07, + "learning_rate": 1.9922392066001724e-05, + "loss": 0.9856, + "step": 356 + }, + { + "epoch": 0.07, + "learning_rate": 1.9921615064469328e-05, + "loss": 1.0583, + "step": 357 + }, + { + "epoch": 0.07, + "learning_rate": 1.992083420796667e-05, + "loss": 1.0081, + "step": 358 + }, + { + "epoch": 0.07, + "learning_rate": 1.9920049496797153e-05, + "loss": 1.1469, + "step": 359 + }, + { + "epoch": 0.07, + "learning_rate": 1.9919260931265666e-05, + "loss": 1.1225, + "step": 360 + }, + { + "epoch": 0.07, + "learning_rate": 1.99184685116786e-05, + "loss": 1.0844, + "step": 361 + }, + { + "epoch": 0.07, + "learning_rate": 1.991767223834384e-05, + "loss": 1.0992, + "step": 362 + }, + { + "epoch": 0.07, + "learning_rate": 1.9916872111570782e-05, + "loss": 1.0955, + "step": 363 + }, + { + "epoch": 0.07, + "learning_rate": 1.9916068131670302e-05, + "loss": 1.0432, + "step": 364 + }, + { + "epoch": 0.07, + "learning_rate": 1.9915260298954786e-05, + "loss": 1.1194, + "step": 365 + }, + { + "epoch": 0.07, + "learning_rate": 1.9914448613738107e-05, + "loss": 1.1146, + "step": 366 + }, + { + "epoch": 0.07, + "learning_rate": 1.9913633076335638e-05, + "loss": 1.1361, + "step": 367 + }, + { + "epoch": 0.07, + "learning_rate": 1.9912813687064255e-05, + "loss": 1.0873, + "step": 368 + }, + { + "epoch": 0.07, + "learning_rate": 1.991199044624232e-05, + "loss": 1.0457, + "step": 369 + }, + { + "epoch": 0.07, + "learning_rate": 1.9911163354189702e-05, + "loss": 1.0928, + "step": 370 + }, + { + "epoch": 0.07, + "learning_rate": 1.991033241122776e-05, + "loss": 1.0763, + "step": 371 + }, + { + "epoch": 0.07, + "learning_rate": 1.990949761767935e-05, + "loss": 1.0927, + "step": 372 + }, + { + "epoch": 0.07, + "learning_rate": 1.9908658973868823e-05, + "loss": 1.0745, + "step": 373 + }, + { + "epoch": 0.07, + "learning_rate": 1.9907816480122032e-05, + "loss": 1.0831, + "step": 374 + }, + { + "epoch": 0.07, + "learning_rate": 1.9906970136766323e-05, + "loss": 1.1519, + "step": 375 + }, + { + "epoch": 0.07, + "learning_rate": 1.9906119944130527e-05, + "loss": 1.0158, + "step": 376 + }, + { + "epoch": 0.07, + "learning_rate": 1.990526590254499e-05, + "loss": 1.0817, + "step": 377 + }, + { + "epoch": 0.07, + "learning_rate": 1.9904408012341542e-05, + "loss": 1.1601, + "step": 378 + }, + { + "epoch": 0.07, + "learning_rate": 1.9903546273853503e-05, + "loss": 1.1029, + "step": 379 + }, + { + "epoch": 0.07, + "learning_rate": 1.9902680687415704e-05, + "loss": 0.9494, + "step": 380 + }, + { + "epoch": 0.07, + "learning_rate": 1.9901811253364458e-05, + "loss": 1.038, + "step": 381 + }, + { + "epoch": 0.07, + "learning_rate": 1.9900937972037577e-05, + "loss": 1.1239, + "step": 382 + }, + { + "epoch": 0.07, + "learning_rate": 1.9900060843774364e-05, + "loss": 1.0337, + "step": 383 + }, + { + "epoch": 0.07, + "learning_rate": 1.989917986891563e-05, + "loss": 0.9066, + "step": 384 + }, + { + "epoch": 0.07, + "learning_rate": 1.9898295047803665e-05, + "loss": 1.1544, + "step": 385 + }, + { + "epoch": 0.07, + "learning_rate": 1.9897406380782262e-05, + "loss": 0.9764, + "step": 386 + }, + { + "epoch": 0.07, + "learning_rate": 1.9896513868196706e-05, + "loss": 1.0702, + "step": 387 + }, + { + "epoch": 0.07, + "learning_rate": 1.9895617510393773e-05, + "loss": 0.968, + "step": 388 + }, + { + "epoch": 0.07, + "learning_rate": 1.9894717307721734e-05, + "loss": 1.1297, + "step": 389 + }, + { + "epoch": 0.08, + "learning_rate": 1.9893813260530368e-05, + "loss": 1.0817, + "step": 390 + }, + { + "epoch": 0.08, + "learning_rate": 1.989290536917093e-05, + "loss": 1.0707, + "step": 391 + }, + { + "epoch": 0.08, + "learning_rate": 1.9891993633996164e-05, + "loss": 1.1196, + "step": 392 + }, + { + "epoch": 0.08, + "learning_rate": 1.9891078055360332e-05, + "loss": 1.1173, + "step": 393 + }, + { + "epoch": 0.08, + "learning_rate": 1.989015863361917e-05, + "loss": 1.0778, + "step": 394 + }, + { + "epoch": 0.08, + "learning_rate": 1.9889235369129913e-05, + "loss": 1.0537, + "step": 395 + }, + { + "epoch": 0.08, + "learning_rate": 1.9888308262251286e-05, + "loss": 0.9878, + "step": 396 + }, + { + "epoch": 0.08, + "learning_rate": 1.9887377313343514e-05, + "loss": 1.0667, + "step": 397 + }, + { + "epoch": 0.08, + "learning_rate": 1.988644252276831e-05, + "loss": 1.0001, + "step": 398 + }, + { + "epoch": 0.08, + "learning_rate": 1.9885503890888874e-05, + "loss": 1.0639, + "step": 399 + }, + { + "epoch": 0.08, + "learning_rate": 1.988456141806991e-05, + "loss": 1.0107, + "step": 400 + }, + { + "epoch": 0.08, + "learning_rate": 1.988361510467761e-05, + "loss": 0.9932, + "step": 401 + }, + { + "epoch": 0.08, + "learning_rate": 1.9882664951079652e-05, + "loss": 1.1224, + "step": 402 + }, + { + "epoch": 0.08, + "learning_rate": 1.988171095764521e-05, + "loss": 1.0936, + "step": 403 + }, + { + "epoch": 0.08, + "learning_rate": 1.9880753124744964e-05, + "loss": 1.0922, + "step": 404 + }, + { + "epoch": 0.08, + "learning_rate": 1.9879791452751055e-05, + "loss": 1.0803, + "step": 405 + }, + { + "epoch": 0.08, + "learning_rate": 1.9878825942037147e-05, + "loss": 1.0377, + "step": 406 + }, + { + "epoch": 0.08, + "learning_rate": 1.987785659297838e-05, + "loss": 1.1566, + "step": 407 + }, + { + "epoch": 0.08, + "learning_rate": 1.9876883405951378e-05, + "loss": 1.1054, + "step": 408 + }, + { + "epoch": 0.08, + "learning_rate": 1.9875906381334277e-05, + "loss": 1.1303, + "step": 409 + }, + { + "epoch": 0.08, + "learning_rate": 1.9874925519506686e-05, + "loss": 1.1254, + "step": 410 + }, + { + "epoch": 0.08, + "learning_rate": 1.9873940820849714e-05, + "loss": 1.0468, + "step": 411 + }, + { + "epoch": 0.08, + "learning_rate": 1.9872952285745958e-05, + "loss": 1.0575, + "step": 412 + }, + { + "epoch": 0.08, + "learning_rate": 1.987195991457951e-05, + "loss": 1.005, + "step": 413 + }, + { + "epoch": 0.08, + "learning_rate": 1.987096370773594e-05, + "loss": 1.02, + "step": 414 + }, + { + "epoch": 0.08, + "learning_rate": 1.9869963665602322e-05, + "loss": 1.1234, + "step": 415 + }, + { + "epoch": 0.08, + "learning_rate": 1.9868959788567213e-05, + "loss": 1.1246, + "step": 416 + }, + { + "epoch": 0.08, + "learning_rate": 1.9867952077020667e-05, + "loss": 1.0605, + "step": 417 + }, + { + "epoch": 0.08, + "learning_rate": 1.9866940531354214e-05, + "loss": 1.0952, + "step": 418 + }, + { + "epoch": 0.08, + "learning_rate": 1.9865925151960893e-05, + "loss": 1.0498, + "step": 419 + }, + { + "epoch": 0.08, + "learning_rate": 1.9864905939235215e-05, + "loss": 1.0751, + "step": 420 + }, + { + "epoch": 0.08, + "learning_rate": 1.9863882893573188e-05, + "loss": 1.0005, + "step": 421 + }, + { + "epoch": 0.08, + "learning_rate": 1.9862856015372315e-05, + "loss": 1.0585, + "step": 422 + }, + { + "epoch": 0.08, + "learning_rate": 1.9861825305031576e-05, + "loss": 1.0886, + "step": 423 + }, + { + "epoch": 0.08, + "learning_rate": 1.9860790762951447e-05, + "loss": 1.0533, + "step": 424 + }, + { + "epoch": 0.08, + "learning_rate": 1.985975238953389e-05, + "loss": 1.128, + "step": 425 + }, + { + "epoch": 0.08, + "learning_rate": 1.985871018518236e-05, + "loss": 1.1347, + "step": 426 + }, + { + "epoch": 0.08, + "learning_rate": 1.9857664150301798e-05, + "loss": 1.0088, + "step": 427 + }, + { + "epoch": 0.08, + "learning_rate": 1.985661428529863e-05, + "loss": 1.1091, + "step": 428 + }, + { + "epoch": 0.08, + "learning_rate": 1.985556059058078e-05, + "loss": 1.0159, + "step": 429 + }, + { + "epoch": 0.08, + "learning_rate": 1.9854503066557646e-05, + "loss": 1.0408, + "step": 430 + }, + { + "epoch": 0.08, + "learning_rate": 1.9853441713640123e-05, + "loss": 1.0792, + "step": 431 + }, + { + "epoch": 0.08, + "learning_rate": 1.9852376532240594e-05, + "loss": 1.0674, + "step": 432 + }, + { + "epoch": 0.08, + "learning_rate": 1.9851307522772926e-05, + "loss": 1.0634, + "step": 433 + }, + { + "epoch": 0.08, + "learning_rate": 1.9850234685652478e-05, + "loss": 1.0816, + "step": 434 + }, + { + "epoch": 0.08, + "learning_rate": 1.9849158021296083e-05, + "loss": 1.0226, + "step": 435 + }, + { + "epoch": 0.08, + "learning_rate": 1.9848077530122083e-05, + "loss": 1.0581, + "step": 436 + }, + { + "epoch": 0.08, + "learning_rate": 1.9846993212550286e-05, + "loss": 1.0245, + "step": 437 + }, + { + "epoch": 0.08, + "learning_rate": 1.9845905069002004e-05, + "loss": 1.0211, + "step": 438 + }, + { + "epoch": 0.08, + "learning_rate": 1.984481309990002e-05, + "loss": 0.9222, + "step": 439 + }, + { + "epoch": 0.08, + "learning_rate": 1.984371730566861e-05, + "loss": 1.0375, + "step": 440 + }, + { + "epoch": 0.08, + "learning_rate": 1.9842617686733546e-05, + "loss": 1.0773, + "step": 441 + }, + { + "epoch": 0.09, + "learning_rate": 1.9841514243522065e-05, + "loss": 1.1042, + "step": 442 + }, + { + "epoch": 0.09, + "learning_rate": 1.984040697646291e-05, + "loss": 1.0718, + "step": 443 + }, + { + "epoch": 0.09, + "learning_rate": 1.98392958859863e-05, + "loss": 1.0367, + "step": 444 + }, + { + "epoch": 0.09, + "learning_rate": 1.9838180972523936e-05, + "loss": 1.1217, + "step": 445 + }, + { + "epoch": 0.09, + "learning_rate": 1.9837062236509013e-05, + "loss": 1.0082, + "step": 446 + }, + { + "epoch": 0.09, + "learning_rate": 1.9835939678376213e-05, + "loss": 0.975, + "step": 447 + }, + { + "epoch": 0.09, + "learning_rate": 1.9834813298561686e-05, + "loss": 1.0262, + "step": 448 + }, + { + "epoch": 0.09, + "learning_rate": 1.9833683097503087e-05, + "loss": 1.0887, + "step": 449 + }, + { + "epoch": 0.09, + "learning_rate": 1.983254907563955e-05, + "loss": 1.0212, + "step": 450 + }, + { + "epoch": 0.09, + "learning_rate": 1.983141123341168e-05, + "loss": 1.1241, + "step": 451 + }, + { + "epoch": 0.09, + "learning_rate": 1.9830269571261585e-05, + "loss": 1.0268, + "step": 452 + }, + { + "epoch": 0.09, + "learning_rate": 1.982912408963285e-05, + "loss": 1.0099, + "step": 453 + }, + { + "epoch": 0.09, + "learning_rate": 1.9827974788970536e-05, + "loss": 0.9479, + "step": 454 + }, + { + "epoch": 0.09, + "learning_rate": 1.9826821669721205e-05, + "loss": 1.2294, + "step": 455 + }, + { + "epoch": 0.09, + "learning_rate": 1.9825664732332886e-05, + "loss": 1.1639, + "step": 456 + }, + { + "epoch": 0.09, + "learning_rate": 1.98245039772551e-05, + "loss": 1.1225, + "step": 457 + }, + { + "epoch": 0.09, + "learning_rate": 1.982333940493885e-05, + "loss": 1.0303, + "step": 458 + }, + { + "epoch": 0.09, + "learning_rate": 1.9822171015836625e-05, + "loss": 1.1159, + "step": 459 + }, + { + "epoch": 0.09, + "learning_rate": 1.982099881040239e-05, + "loss": 0.9701, + "step": 460 + }, + { + "epoch": 0.09, + "learning_rate": 1.9819822789091597e-05, + "loss": 1.0532, + "step": 461 + }, + { + "epoch": 0.09, + "learning_rate": 1.9818642952361188e-05, + "loss": 1.1075, + "step": 462 + }, + { + "epoch": 0.09, + "learning_rate": 1.9817459300669567e-05, + "loss": 0.9985, + "step": 463 + }, + { + "epoch": 0.09, + "learning_rate": 1.9816271834476642e-05, + "loss": 1.0155, + "step": 464 + }, + { + "epoch": 0.09, + "learning_rate": 1.981508055424379e-05, + "loss": 0.9628, + "step": 465 + }, + { + "epoch": 0.09, + "learning_rate": 1.981388546043388e-05, + "loss": 1.1673, + "step": 466 + }, + { + "epoch": 0.09, + "learning_rate": 1.9812686553511246e-05, + "loss": 1.0332, + "step": 467 + }, + { + "epoch": 0.09, + "learning_rate": 1.9811483833941726e-05, + "loss": 0.9622, + "step": 468 + }, + { + "epoch": 0.09, + "learning_rate": 1.9810277302192624e-05, + "loss": 1.075, + "step": 469 + }, + { + "epoch": 0.09, + "learning_rate": 1.9809066958732727e-05, + "loss": 1.0458, + "step": 470 + }, + { + "epoch": 0.09, + "learning_rate": 1.9807852804032306e-05, + "loss": 0.9892, + "step": 471 + }, + { + "epoch": 0.09, + "learning_rate": 1.9806634838563113e-05, + "loss": 1.0218, + "step": 472 + }, + { + "epoch": 0.09, + "learning_rate": 1.9805413062798376e-05, + "loss": 1.0867, + "step": 473 + }, + { + "epoch": 0.09, + "learning_rate": 1.980418747721281e-05, + "loss": 1.1047, + "step": 474 + }, + { + "epoch": 0.09, + "learning_rate": 1.980295808228261e-05, + "loss": 1.0093, + "step": 475 + }, + { + "epoch": 0.09, + "learning_rate": 1.9801724878485438e-05, + "loss": 1.0329, + "step": 476 + }, + { + "epoch": 0.09, + "learning_rate": 1.980048786630046e-05, + "loss": 1.0308, + "step": 477 + }, + { + "epoch": 0.09, + "learning_rate": 1.9799247046208297e-05, + "loss": 1.0347, + "step": 478 + }, + { + "epoch": 0.09, + "learning_rate": 1.9798002418691067e-05, + "loss": 1.0379, + "step": 479 + }, + { + "epoch": 0.09, + "learning_rate": 1.9796753984232357e-05, + "loss": 1.0838, + "step": 480 + }, + { + "epoch": 0.09, + "learning_rate": 1.979550174331724e-05, + "loss": 1.0295, + "step": 481 + }, + { + "epoch": 0.09, + "learning_rate": 1.9794245696432262e-05, + "loss": 1.1662, + "step": 482 + }, + { + "epoch": 0.09, + "learning_rate": 1.979298584406545e-05, + "loss": 1.1114, + "step": 483 + }, + { + "epoch": 0.09, + "learning_rate": 1.9791722186706318e-05, + "loss": 1.1043, + "step": 484 + }, + { + "epoch": 0.09, + "learning_rate": 1.979045472484584e-05, + "loss": 1.0516, + "step": 485 + }, + { + "epoch": 0.09, + "learning_rate": 1.9789183458976485e-05, + "loss": 1.0998, + "step": 486 + }, + { + "epoch": 0.09, + "learning_rate": 1.9787908389592197e-05, + "loss": 1.0253, + "step": 487 + }, + { + "epoch": 0.09, + "learning_rate": 1.9786629517188384e-05, + "loss": 0.9831, + "step": 488 + }, + { + "epoch": 0.09, + "learning_rate": 1.9785346842261957e-05, + "loss": 0.9711, + "step": 489 + }, + { + "epoch": 0.09, + "learning_rate": 1.9784060365311276e-05, + "loss": 0.982, + "step": 490 + }, + { + "epoch": 0.09, + "learning_rate": 1.97827700868362e-05, + "loss": 0.9738, + "step": 491 + }, + { + "epoch": 0.09, + "learning_rate": 1.9781476007338058e-05, + "loss": 1.1219, + "step": 492 + }, + { + "epoch": 0.09, + "learning_rate": 1.978017812731965e-05, + "loss": 0.9597, + "step": 493 + }, + { + "epoch": 0.1, + "learning_rate": 1.9778876447285264e-05, + "loss": 1.0607, + "step": 494 + }, + { + "epoch": 0.1, + "learning_rate": 1.9777570967740648e-05, + "loss": 1.1042, + "step": 495 + }, + { + "epoch": 0.1, + "learning_rate": 1.977626168919305e-05, + "loss": 1.0471, + "step": 496 + }, + { + "epoch": 0.1, + "learning_rate": 1.977494861215117e-05, + "loss": 1.0369, + "step": 497 + }, + { + "epoch": 0.1, + "learning_rate": 1.9773631737125192e-05, + "loss": 1.0469, + "step": 498 + }, + { + "epoch": 0.1, + "learning_rate": 1.977231106462679e-05, + "loss": 1.1467, + "step": 499 + }, + { + "epoch": 0.1, + "learning_rate": 1.9770986595169096e-05, + "loss": 1.0061, + "step": 500 + }, + { + "epoch": 0.1, + "learning_rate": 1.9769658329266718e-05, + "loss": 0.9858, + "step": 501 + }, + { + "epoch": 0.1, + "learning_rate": 1.976832626743575e-05, + "loss": 1.0854, + "step": 502 + }, + { + "epoch": 0.1, + "learning_rate": 1.9766990410193755e-05, + "loss": 1.0341, + "step": 503 + }, + { + "epoch": 0.1, + "learning_rate": 1.9765650758059766e-05, + "loss": 1.0168, + "step": 504 + }, + { + "epoch": 0.1, + "learning_rate": 1.97643073115543e-05, + "loss": 1.0248, + "step": 505 + }, + { + "epoch": 0.1, + "learning_rate": 1.9762960071199334e-05, + "loss": 1.0769, + "step": 506 + }, + { + "epoch": 0.1, + "learning_rate": 1.976160903751834e-05, + "loss": 1.0159, + "step": 507 + }, + { + "epoch": 0.1, + "learning_rate": 1.9760254211036245e-05, + "loss": 1.1261, + "step": 508 + }, + { + "epoch": 0.1, + "learning_rate": 1.9758895592279458e-05, + "loss": 0.9715, + "step": 509 + }, + { + "epoch": 0.1, + "learning_rate": 1.9757533181775865e-05, + "loss": 1.076, + "step": 510 + }, + { + "epoch": 0.1, + "learning_rate": 1.9756166980054812e-05, + "loss": 1.0935, + "step": 511 + }, + { + "epoch": 0.1, + "learning_rate": 1.9754796987647134e-05, + "loss": 1.1104, + "step": 512 + }, + { + "epoch": 0.1, + "learning_rate": 1.9753423205085127e-05, + "loss": 0.9828, + "step": 513 + }, + { + "epoch": 0.1, + "learning_rate": 1.9752045632902567e-05, + "loss": 1.0819, + "step": 514 + }, + { + "epoch": 0.1, + "learning_rate": 1.97506642716347e-05, + "loss": 1.1015, + "step": 515 + }, + { + "epoch": 0.1, + "learning_rate": 1.9749279121818235e-05, + "loss": 1.0494, + "step": 516 + }, + { + "epoch": 0.1, + "learning_rate": 1.9747890183991376e-05, + "loss": 1.0505, + "step": 517 + }, + { + "epoch": 0.1, + "learning_rate": 1.9746497458693776e-05, + "loss": 1.0426, + "step": 518 + }, + { + "epoch": 0.1, + "learning_rate": 1.9745100946466563e-05, + "loss": 0.9941, + "step": 519 + }, + { + "epoch": 0.1, + "learning_rate": 1.9743700647852356e-05, + "loss": 0.9987, + "step": 520 + }, + { + "epoch": 0.1, + "learning_rate": 1.9742296563395218e-05, + "loss": 1.1101, + "step": 521 + }, + { + "epoch": 0.1, + "learning_rate": 1.9740888693640698e-05, + "loss": 1.08, + "step": 522 + }, + { + "epoch": 0.1, + "learning_rate": 1.973947703913582e-05, + "loss": 1.153, + "step": 523 + }, + { + "epoch": 0.1, + "learning_rate": 1.9738061600429062e-05, + "loss": 0.9056, + "step": 524 + }, + { + "epoch": 0.1, + "learning_rate": 1.9736642378070393e-05, + "loss": 1.0709, + "step": 525 + }, + { + "epoch": 0.1, + "learning_rate": 1.9735219372611232e-05, + "loss": 1.0445, + "step": 526 + }, + { + "epoch": 0.1, + "learning_rate": 1.9733792584604487e-05, + "loss": 1.0529, + "step": 527 + }, + { + "epoch": 0.1, + "learning_rate": 1.9732362014604515e-05, + "loss": 1.0599, + "step": 528 + }, + { + "epoch": 0.1, + "learning_rate": 1.973092766316716e-05, + "loss": 1.061, + "step": 529 + }, + { + "epoch": 0.1, + "learning_rate": 1.972948953084973e-05, + "loss": 1.0692, + "step": 530 + }, + { + "epoch": 0.1, + "learning_rate": 1.9728047618210995e-05, + "loss": 1.1257, + "step": 531 + }, + { + "epoch": 0.1, + "learning_rate": 1.9726601925811204e-05, + "loss": 1.0265, + "step": 532 + }, + { + "epoch": 0.1, + "learning_rate": 1.9725152454212068e-05, + "loss": 1.1106, + "step": 533 + }, + { + "epoch": 0.1, + "learning_rate": 1.9723699203976768e-05, + "loss": 1.0881, + "step": 534 + }, + { + "epoch": 0.1, + "learning_rate": 1.9722242175669955e-05, + "loss": 1.1187, + "step": 535 + }, + { + "epoch": 0.1, + "learning_rate": 1.9720781369857747e-05, + "loss": 0.9528, + "step": 536 + }, + { + "epoch": 0.1, + "learning_rate": 1.9719316787107728e-05, + "loss": 1.0499, + "step": 537 + }, + { + "epoch": 0.1, + "learning_rate": 1.9717848427988954e-05, + "loss": 0.9756, + "step": 538 + }, + { + "epoch": 0.1, + "learning_rate": 1.971637629307194e-05, + "loss": 1.0606, + "step": 539 + }, + { + "epoch": 0.1, + "learning_rate": 1.9714900382928674e-05, + "loss": 1.0283, + "step": 540 + }, + { + "epoch": 0.1, + "learning_rate": 1.9713420698132614e-05, + "loss": 1.0953, + "step": 541 + }, + { + "epoch": 0.1, + "learning_rate": 1.971193723925868e-05, + "loss": 1.0145, + "step": 542 + }, + { + "epoch": 0.1, + "learning_rate": 1.9710450006883258e-05, + "loss": 0.9504, + "step": 543 + }, + { + "epoch": 0.1, + "learning_rate": 1.9708959001584197e-05, + "loss": 1.0384, + "step": 544 + }, + { + "epoch": 0.1, + "learning_rate": 1.970746422394082e-05, + "loss": 1.0978, + "step": 545 + }, + { + "epoch": 0.11, + "learning_rate": 1.970596567453391e-05, + "loss": 1.0266, + "step": 546 + }, + { + "epoch": 0.11, + "learning_rate": 1.9704463353945724e-05, + "loss": 1.0707, + "step": 547 + }, + { + "epoch": 0.11, + "learning_rate": 1.9702957262759964e-05, + "loss": 1.0981, + "step": 548 + }, + { + "epoch": 0.11, + "learning_rate": 1.9701447401561826e-05, + "loss": 1.0645, + "step": 549 + }, + { + "epoch": 0.11, + "learning_rate": 1.9699933770937948e-05, + "loss": 1.0988, + "step": 550 + }, + { + "epoch": 0.11, + "learning_rate": 1.9698416371476434e-05, + "loss": 1.0011, + "step": 551 + }, + { + "epoch": 0.11, + "learning_rate": 1.969689520376687e-05, + "loss": 0.9715, + "step": 552 + }, + { + "epoch": 0.11, + "learning_rate": 1.9695370268400288e-05, + "loss": 1.0363, + "step": 553 + }, + { + "epoch": 0.11, + "learning_rate": 1.969384156596919e-05, + "loss": 0.9286, + "step": 554 + }, + { + "epoch": 0.11, + "learning_rate": 1.9692309097067546e-05, + "loss": 1.1085, + "step": 555 + }, + { + "epoch": 0.11, + "learning_rate": 1.969077286229078e-05, + "loss": 1.0344, + "step": 556 + }, + { + "epoch": 0.11, + "learning_rate": 1.968923286223579e-05, + "loss": 1.1147, + "step": 557 + }, + { + "epoch": 0.11, + "learning_rate": 1.9687689097500927e-05, + "loss": 0.9844, + "step": 558 + }, + { + "epoch": 0.11, + "learning_rate": 1.9686141568686015e-05, + "loss": 0.9689, + "step": 559 + }, + { + "epoch": 0.11, + "learning_rate": 1.968459027639233e-05, + "loss": 1.1284, + "step": 560 + }, + { + "epoch": 0.11, + "learning_rate": 1.9683035221222617e-05, + "loss": 1.0451, + "step": 561 + }, + { + "epoch": 0.11, + "learning_rate": 1.968147640378108e-05, + "loss": 1.0343, + "step": 562 + }, + { + "epoch": 0.11, + "learning_rate": 1.9679913824673388e-05, + "loss": 1.002, + "step": 563 + }, + { + "epoch": 0.11, + "learning_rate": 1.9678347484506667e-05, + "loss": 1.1276, + "step": 564 + }, + { + "epoch": 0.11, + "learning_rate": 1.9676777383889506e-05, + "loss": 1.0724, + "step": 565 + }, + { + "epoch": 0.11, + "learning_rate": 1.9675203523431964e-05, + "loss": 1.0067, + "step": 566 + }, + { + "epoch": 0.11, + "learning_rate": 1.9673625903745546e-05, + "loss": 1.0488, + "step": 567 + }, + { + "epoch": 0.11, + "learning_rate": 1.9672044525443222e-05, + "loss": 1.1391, + "step": 568 + }, + { + "epoch": 0.11, + "learning_rate": 1.9670459389139433e-05, + "loss": 0.9735, + "step": 569 + }, + { + "epoch": 0.11, + "learning_rate": 1.9668870495450064e-05, + "loss": 1.0933, + "step": 570 + }, + { + "epoch": 0.11, + "learning_rate": 1.9667277844992476e-05, + "loss": 1.0065, + "step": 571 + }, + { + "epoch": 0.11, + "learning_rate": 1.9665681438385475e-05, + "loss": 1.0071, + "step": 572 + }, + { + "epoch": 0.11, + "learning_rate": 1.9664081276249335e-05, + "loss": 1.0874, + "step": 573 + }, + { + "epoch": 0.11, + "learning_rate": 1.9662477359205786e-05, + "loss": 1.0553, + "step": 574 + }, + { + "epoch": 0.11, + "learning_rate": 1.966086968787802e-05, + "loss": 1.0156, + "step": 575 + }, + { + "epoch": 0.11, + "learning_rate": 1.9659258262890683e-05, + "loss": 1.0033, + "step": 576 + }, + { + "epoch": 0.11, + "learning_rate": 1.965764308486989e-05, + "loss": 1.071, + "step": 577 + }, + { + "epoch": 0.11, + "learning_rate": 1.9656024154443195e-05, + "loss": 0.993, + "step": 578 + }, + { + "epoch": 0.11, + "learning_rate": 1.965440147223963e-05, + "loss": 1.1172, + "step": 579 + }, + { + "epoch": 0.11, + "learning_rate": 1.9652775038889676e-05, + "loss": 1.0653, + "step": 580 + }, + { + "epoch": 0.11, + "learning_rate": 1.9651144855025265e-05, + "loss": 0.9951, + "step": 581 + }, + { + "epoch": 0.11, + "learning_rate": 1.9649510921279803e-05, + "loss": 1.0024, + "step": 582 + }, + { + "epoch": 0.11, + "learning_rate": 1.964787323828813e-05, + "loss": 1.0907, + "step": 583 + }, + { + "epoch": 0.11, + "learning_rate": 1.9646231806686566e-05, + "loss": 1.0386, + "step": 584 + }, + { + "epoch": 0.11, + "learning_rate": 1.9644586627112877e-05, + "loss": 1.0824, + "step": 585 + }, + { + "epoch": 0.11, + "learning_rate": 1.964293770020628e-05, + "loss": 1.0654, + "step": 586 + }, + { + "epoch": 0.11, + "learning_rate": 1.9641285026607453e-05, + "loss": 1.0961, + "step": 587 + }, + { + "epoch": 0.11, + "learning_rate": 1.9639628606958535e-05, + "loss": 0.9718, + "step": 588 + }, + { + "epoch": 0.11, + "learning_rate": 1.9637968441903112e-05, + "loss": 0.9925, + "step": 589 + }, + { + "epoch": 0.11, + "learning_rate": 1.963630453208623e-05, + "loss": 1.0505, + "step": 590 + }, + { + "epoch": 0.11, + "learning_rate": 1.9634636878154393e-05, + "loss": 1.0817, + "step": 591 + }, + { + "epoch": 0.11, + "learning_rate": 1.963296548075555e-05, + "loss": 0.9927, + "step": 592 + }, + { + "epoch": 0.11, + "learning_rate": 1.963129034053911e-05, + "loss": 1.0939, + "step": 593 + }, + { + "epoch": 0.11, + "learning_rate": 1.9629611458155936e-05, + "loss": 1.0764, + "step": 594 + }, + { + "epoch": 0.11, + "learning_rate": 1.962792883425835e-05, + "loss": 1.0518, + "step": 595 + }, + { + "epoch": 0.11, + "learning_rate": 1.962624246950012e-05, + "loss": 1.0686, + "step": 596 + }, + { + "epoch": 0.11, + "learning_rate": 1.9624552364536472e-05, + "loss": 0.9221, + "step": 597 + }, + { + "epoch": 0.12, + "learning_rate": 1.9622858520024087e-05, + "loss": 1.0988, + "step": 598 + }, + { + "epoch": 0.12, + "learning_rate": 1.9621160936621086e-05, + "loss": 1.0581, + "step": 599 + }, + { + "epoch": 0.12, + "learning_rate": 1.961945961498706e-05, + "loss": 1.0358, + "step": 600 + }, + { + "epoch": 0.12, + "learning_rate": 1.9617754555783045e-05, + "loss": 1.0148, + "step": 601 + }, + { + "epoch": 0.12, + "learning_rate": 1.9616045759671524e-05, + "loss": 0.987, + "step": 602 + }, + { + "epoch": 0.12, + "learning_rate": 1.9614333227316443e-05, + "loss": 0.9438, + "step": 603 + }, + { + "epoch": 0.12, + "learning_rate": 1.961261695938319e-05, + "loss": 1.1807, + "step": 604 + }, + { + "epoch": 0.12, + "learning_rate": 1.961089695653861e-05, + "loss": 1.0079, + "step": 605 + }, + { + "epoch": 0.12, + "learning_rate": 1.9609173219450998e-05, + "loss": 0.9564, + "step": 606 + }, + { + "epoch": 0.12, + "learning_rate": 1.9607445748790096e-05, + "loss": 1.0685, + "step": 607 + }, + { + "epoch": 0.12, + "learning_rate": 1.9605714545227105e-05, + "loss": 1.1026, + "step": 608 + }, + { + "epoch": 0.12, + "learning_rate": 1.9603979609434666e-05, + "loss": 1.0698, + "step": 609 + }, + { + "epoch": 0.12, + "learning_rate": 1.960224094208688e-05, + "loss": 0.9435, + "step": 610 + }, + { + "epoch": 0.12, + "learning_rate": 1.960049854385929e-05, + "loss": 1.075, + "step": 611 + }, + { + "epoch": 0.12, + "learning_rate": 1.9598752415428893e-05, + "loss": 1.0923, + "step": 612 + }, + { + "epoch": 0.12, + "learning_rate": 1.9597002557474136e-05, + "loss": 1.0146, + "step": 613 + }, + { + "epoch": 0.12, + "learning_rate": 1.959524897067491e-05, + "loss": 1.0935, + "step": 614 + }, + { + "epoch": 0.12, + "learning_rate": 1.959349165571256e-05, + "loss": 1.0238, + "step": 615 + }, + { + "epoch": 0.12, + "learning_rate": 1.9591730613269878e-05, + "loss": 1.0404, + "step": 616 + }, + { + "epoch": 0.12, + "learning_rate": 1.9589965844031108e-05, + "loss": 0.9817, + "step": 617 + }, + { + "epoch": 0.12, + "learning_rate": 1.958819734868193e-05, + "loss": 0.9663, + "step": 618 + }, + { + "epoch": 0.12, + "learning_rate": 1.9586425127909488e-05, + "loss": 1.0982, + "step": 619 + }, + { + "epoch": 0.12, + "learning_rate": 1.9584649182402358e-05, + "loss": 0.9821, + "step": 620 + }, + { + "epoch": 0.12, + "learning_rate": 1.9582869512850576e-05, + "loss": 1.0419, + "step": 621 + }, + { + "epoch": 0.12, + "learning_rate": 1.9581086119945615e-05, + "loss": 1.037, + "step": 622 + }, + { + "epoch": 0.12, + "learning_rate": 1.9579299004380402e-05, + "loss": 1.0671, + "step": 623 + }, + { + "epoch": 0.12, + "learning_rate": 1.9577508166849308e-05, + "loss": 1.0388, + "step": 624 + }, + { + "epoch": 0.12, + "learning_rate": 1.9575713608048146e-05, + "loss": 0.9971, + "step": 625 + }, + { + "epoch": 0.12, + "learning_rate": 1.957391532867418e-05, + "loss": 0.9842, + "step": 626 + }, + { + "epoch": 0.12, + "learning_rate": 1.9572113329426123e-05, + "loss": 1.0407, + "step": 627 + }, + { + "epoch": 0.12, + "learning_rate": 1.9570307611004124e-05, + "loss": 1.0211, + "step": 628 + }, + { + "epoch": 0.12, + "learning_rate": 1.9568498174109783e-05, + "loss": 1.0812, + "step": 629 + }, + { + "epoch": 0.12, + "learning_rate": 1.956668501944614e-05, + "loss": 1.0898, + "step": 630 + }, + { + "epoch": 0.12, + "learning_rate": 1.956486814771769e-05, + "loss": 0.9731, + "step": 631 + }, + { + "epoch": 0.12, + "learning_rate": 1.9563047559630356e-05, + "loss": 0.9298, + "step": 632 + }, + { + "epoch": 0.12, + "learning_rate": 1.956122325589152e-05, + "loss": 0.8886, + "step": 633 + }, + { + "epoch": 0.12, + "learning_rate": 1.9559395237210002e-05, + "loss": 1.0818, + "step": 634 + }, + { + "epoch": 0.12, + "learning_rate": 1.9557563504296064e-05, + "loss": 1.0562, + "step": 635 + }, + { + "epoch": 0.12, + "learning_rate": 1.955572805786141e-05, + "loss": 1.1054, + "step": 636 + }, + { + "epoch": 0.12, + "learning_rate": 1.955388889861919e-05, + "loss": 1.0302, + "step": 637 + }, + { + "epoch": 0.12, + "learning_rate": 1.9552046027284e-05, + "loss": 1.097, + "step": 638 + }, + { + "epoch": 0.12, + "learning_rate": 1.9550199444571868e-05, + "loss": 1.052, + "step": 639 + }, + { + "epoch": 0.12, + "learning_rate": 1.9548349151200275e-05, + "loss": 1.0788, + "step": 640 + }, + { + "epoch": 0.12, + "learning_rate": 1.9546495147888134e-05, + "loss": 1.0452, + "step": 641 + }, + { + "epoch": 0.12, + "learning_rate": 1.954463743535581e-05, + "loss": 1.0248, + "step": 642 + }, + { + "epoch": 0.12, + "learning_rate": 1.95427760143251e-05, + "loss": 0.9876, + "step": 643 + }, + { + "epoch": 0.12, + "learning_rate": 1.9540910885519243e-05, + "loss": 0.9929, + "step": 644 + }, + { + "epoch": 0.12, + "learning_rate": 1.9539042049662926e-05, + "loss": 1.0199, + "step": 645 + }, + { + "epoch": 0.12, + "learning_rate": 1.953716950748227e-05, + "loss": 0.9978, + "step": 646 + }, + { + "epoch": 0.12, + "learning_rate": 1.953529325970484e-05, + "loss": 1.0226, + "step": 647 + }, + { + "epoch": 0.12, + "learning_rate": 1.953341330705963e-05, + "loss": 1.0055, + "step": 648 + }, + { + "epoch": 0.12, + "learning_rate": 1.9531529650277087e-05, + "loss": 1.0102, + "step": 649 + }, + { + "epoch": 0.13, + "learning_rate": 1.952964229008909e-05, + "loss": 0.9857, + "step": 650 + }, + { + "epoch": 0.13, + "learning_rate": 1.9527751227228964e-05, + "loss": 0.9777, + "step": 651 + }, + { + "epoch": 0.13, + "learning_rate": 1.9525856462431463e-05, + "loss": 1.0524, + "step": 652 + }, + { + "epoch": 0.13, + "learning_rate": 1.9523957996432785e-05, + "loss": 1.0079, + "step": 653 + }, + { + "epoch": 0.13, + "learning_rate": 1.9522055829970564e-05, + "loss": 1.1107, + "step": 654 + }, + { + "epoch": 0.13, + "learning_rate": 1.9520149963783873e-05, + "loss": 1.0203, + "step": 655 + }, + { + "epoch": 0.13, + "learning_rate": 1.9518240398613226e-05, + "loss": 0.999, + "step": 656 + }, + { + "epoch": 0.13, + "learning_rate": 1.9516327135200565e-05, + "loss": 1.008, + "step": 657 + }, + { + "epoch": 0.13, + "learning_rate": 1.951441017428928e-05, + "loss": 0.991, + "step": 658 + }, + { + "epoch": 0.13, + "learning_rate": 1.951248951662418e-05, + "loss": 1.0035, + "step": 659 + }, + { + "epoch": 0.13, + "learning_rate": 1.9510565162951538e-05, + "loss": 1.0079, + "step": 660 + }, + { + "epoch": 0.13, + "learning_rate": 1.9508637114019037e-05, + "loss": 1.0997, + "step": 661 + }, + { + "epoch": 0.13, + "learning_rate": 1.950670537057581e-05, + "loss": 0.9905, + "step": 662 + }, + { + "epoch": 0.13, + "learning_rate": 1.9504769933372424e-05, + "loss": 0.9784, + "step": 663 + }, + { + "epoch": 0.13, + "learning_rate": 1.9502830803160873e-05, + "loss": 1.0601, + "step": 664 + }, + { + "epoch": 0.13, + "learning_rate": 1.9500887980694597e-05, + "loss": 1.0306, + "step": 665 + }, + { + "epoch": 0.13, + "learning_rate": 1.9498941466728462e-05, + "loss": 1.0404, + "step": 666 + }, + { + "epoch": 0.13, + "learning_rate": 1.949699126201877e-05, + "loss": 1.032, + "step": 667 + }, + { + "epoch": 0.13, + "learning_rate": 1.9495037367323264e-05, + "loss": 1.0599, + "step": 668 + }, + { + "epoch": 0.13, + "learning_rate": 1.9493079783401116e-05, + "loss": 1.0579, + "step": 669 + }, + { + "epoch": 0.13, + "learning_rate": 1.949111851101292e-05, + "loss": 1.022, + "step": 670 + }, + { + "epoch": 0.13, + "learning_rate": 1.9489153550920726e-05, + "loss": 1.0967, + "step": 671 + }, + { + "epoch": 0.13, + "learning_rate": 1.9487184903888e-05, + "loss": 1.0826, + "step": 672 + }, + { + "epoch": 0.13, + "learning_rate": 1.9485212570679643e-05, + "loss": 0.992, + "step": 673 + }, + { + "epoch": 0.13, + "learning_rate": 1.9483236552061996e-05, + "loss": 0.9718, + "step": 674 + }, + { + "epoch": 0.13, + "learning_rate": 1.948125684880282e-05, + "loss": 1.0953, + "step": 675 + }, + { + "epoch": 0.13, + "learning_rate": 1.947927346167132e-05, + "loss": 1.0128, + "step": 676 + }, + { + "epoch": 0.13, + "learning_rate": 1.9477286391438122e-05, + "loss": 1.0158, + "step": 677 + }, + { + "epoch": 0.13, + "learning_rate": 1.947529563887529e-05, + "loss": 1.0355, + "step": 678 + }, + { + "epoch": 0.13, + "learning_rate": 1.9473301204756315e-05, + "loss": 1.0383, + "step": 679 + }, + { + "epoch": 0.13, + "learning_rate": 1.947130308985612e-05, + "loss": 1.0664, + "step": 680 + }, + { + "epoch": 0.13, + "learning_rate": 1.946930129495106e-05, + "loss": 0.9714, + "step": 681 + }, + { + "epoch": 0.13, + "learning_rate": 1.9467295820818913e-05, + "loss": 1.0012, + "step": 682 + }, + { + "epoch": 0.13, + "learning_rate": 1.9465286668238895e-05, + "loss": 0.9998, + "step": 683 + }, + { + "epoch": 0.13, + "learning_rate": 1.9463273837991643e-05, + "loss": 1.0038, + "step": 684 + }, + { + "epoch": 0.13, + "learning_rate": 1.9461257330859233e-05, + "loss": 0.9702, + "step": 685 + }, + { + "epoch": 0.13, + "learning_rate": 1.945923714762516e-05, + "loss": 1.0526, + "step": 686 + }, + { + "epoch": 0.13, + "learning_rate": 1.9457213289074353e-05, + "loss": 1.0081, + "step": 687 + }, + { + "epoch": 0.13, + "learning_rate": 1.945518575599317e-05, + "loss": 0.9132, + "step": 688 + }, + { + "epoch": 0.13, + "learning_rate": 1.945315454916939e-05, + "loss": 1.0198, + "step": 689 + }, + { + "epoch": 0.13, + "learning_rate": 1.945111966939222e-05, + "loss": 1.0634, + "step": 690 + }, + { + "epoch": 0.13, + "learning_rate": 1.9449081117452304e-05, + "loss": 0.9693, + "step": 691 + }, + { + "epoch": 0.13, + "learning_rate": 1.9447038894141707e-05, + "loss": 0.9838, + "step": 692 + }, + { + "epoch": 0.13, + "learning_rate": 1.9444993000253912e-05, + "loss": 1.0621, + "step": 693 + }, + { + "epoch": 0.13, + "learning_rate": 1.9442943436583845e-05, + "loss": 1.0415, + "step": 694 + }, + { + "epoch": 0.13, + "learning_rate": 1.9440890203927846e-05, + "loss": 1.0805, + "step": 695 + }, + { + "epoch": 0.13, + "learning_rate": 1.9438833303083677e-05, + "loss": 1.0678, + "step": 696 + }, + { + "epoch": 0.13, + "learning_rate": 1.943677273485054e-05, + "loss": 1.0552, + "step": 697 + }, + { + "epoch": 0.13, + "learning_rate": 1.943470850002905e-05, + "loss": 0.9753, + "step": 698 + }, + { + "epoch": 0.13, + "learning_rate": 1.943264059942125e-05, + "loss": 1.0786, + "step": 699 + }, + { + "epoch": 0.13, + "learning_rate": 1.9430569033830606e-05, + "loss": 1.0137, + "step": 700 + }, + { + "epoch": 0.13, + "learning_rate": 1.9428493804062013e-05, + "loss": 1.0422, + "step": 701 + }, + { + "epoch": 0.14, + "learning_rate": 1.9426414910921785e-05, + "loss": 1.0899, + "step": 702 + }, + { + "epoch": 0.14, + "learning_rate": 1.942433235521766e-05, + "loss": 1.0316, + "step": 703 + }, + { + "epoch": 0.14, + "learning_rate": 1.94222461377588e-05, + "loss": 1.0923, + "step": 704 + }, + { + "epoch": 0.14, + "learning_rate": 1.942015625935579e-05, + "loss": 1.0152, + "step": 705 + }, + { + "epoch": 0.14, + "learning_rate": 1.9418062720820636e-05, + "loss": 1.0557, + "step": 706 + }, + { + "epoch": 0.14, + "learning_rate": 1.9415965522966767e-05, + "loss": 1.041, + "step": 707 + }, + { + "epoch": 0.14, + "learning_rate": 1.9413864666609036e-05, + "loss": 0.9575, + "step": 708 + }, + { + "epoch": 0.14, + "learning_rate": 1.941176015256371e-05, + "loss": 1.0729, + "step": 709 + }, + { + "epoch": 0.14, + "learning_rate": 1.9409651981648486e-05, + "loss": 0.9781, + "step": 710 + }, + { + "epoch": 0.14, + "learning_rate": 1.9407540154682473e-05, + "loss": 1.0689, + "step": 711 + }, + { + "epoch": 0.14, + "learning_rate": 1.9405424672486218e-05, + "loss": 0.9343, + "step": 712 + }, + { + "epoch": 0.14, + "learning_rate": 1.9403305535881664e-05, + "loss": 1.0691, + "step": 713 + }, + { + "epoch": 0.14, + "learning_rate": 1.940118274569219e-05, + "loss": 0.9595, + "step": 714 + }, + { + "epoch": 0.14, + "learning_rate": 1.9399056302742598e-05, + "loss": 1.0359, + "step": 715 + }, + { + "epoch": 0.14, + "learning_rate": 1.9396926207859085e-05, + "loss": 1.0134, + "step": 716 + }, + { + "epoch": 0.14, + "learning_rate": 1.9394792461869296e-05, + "loss": 1.0578, + "step": 717 + }, + { + "epoch": 0.14, + "learning_rate": 1.939265506560228e-05, + "loss": 1.1534, + "step": 718 + }, + { + "epoch": 0.14, + "learning_rate": 1.9390514019888508e-05, + "loss": 1.0244, + "step": 719 + }, + { + "epoch": 0.14, + "learning_rate": 1.9388369325559862e-05, + "loss": 0.97, + "step": 720 + }, + { + "epoch": 0.14, + "learning_rate": 1.9386220983449652e-05, + "loss": 0.9474, + "step": 721 + }, + { + "epoch": 0.14, + "learning_rate": 1.93840689943926e-05, + "loss": 1.037, + "step": 722 + }, + { + "epoch": 0.14, + "learning_rate": 1.9381913359224844e-05, + "loss": 1.0523, + "step": 723 + }, + { + "epoch": 0.14, + "learning_rate": 1.937975407878394e-05, + "loss": 0.9299, + "step": 724 + }, + { + "epoch": 0.14, + "learning_rate": 1.937759115390886e-05, + "loss": 1.0649, + "step": 725 + }, + { + "epoch": 0.14, + "learning_rate": 1.9375424585439994e-05, + "loss": 1.0461, + "step": 726 + }, + { + "epoch": 0.14, + "learning_rate": 1.9373254374219146e-05, + "loss": 1.0588, + "step": 727 + }, + { + "epoch": 0.14, + "learning_rate": 1.9371080521089536e-05, + "loss": 1.0076, + "step": 728 + }, + { + "epoch": 0.14, + "learning_rate": 1.9368903026895795e-05, + "loss": 1.1161, + "step": 729 + }, + { + "epoch": 0.14, + "learning_rate": 1.9366721892483976e-05, + "loss": 0.9928, + "step": 730 + }, + { + "epoch": 0.14, + "learning_rate": 1.9364537118701542e-05, + "loss": 1.0034, + "step": 731 + }, + { + "epoch": 0.14, + "learning_rate": 1.9362348706397374e-05, + "loss": 1.1045, + "step": 732 + }, + { + "epoch": 0.14, + "learning_rate": 1.9360156656421756e-05, + "loss": 1.0424, + "step": 733 + }, + { + "epoch": 0.14, + "learning_rate": 1.9357960969626398e-05, + "loss": 1.0659, + "step": 734 + }, + { + "epoch": 0.14, + "learning_rate": 1.9355761646864417e-05, + "loss": 1.1236, + "step": 735 + }, + { + "epoch": 0.14, + "learning_rate": 1.935355868899034e-05, + "loss": 1.0589, + "step": 736 + }, + { + "epoch": 0.14, + "learning_rate": 1.935135209686012e-05, + "loss": 0.9773, + "step": 737 + }, + { + "epoch": 0.14, + "learning_rate": 1.93491418713311e-05, + "loss": 1.0962, + "step": 738 + }, + { + "epoch": 0.14, + "learning_rate": 1.9346928013262052e-05, + "loss": 0.9671, + "step": 739 + }, + { + "epoch": 0.14, + "learning_rate": 1.9344710523513157e-05, + "loss": 1.0243, + "step": 740 + }, + { + "epoch": 0.14, + "learning_rate": 1.9342489402945997e-05, + "loss": 1.0329, + "step": 741 + }, + { + "epoch": 0.14, + "learning_rate": 1.9340264652423584e-05, + "loss": 1.0285, + "step": 742 + }, + { + "epoch": 0.14, + "learning_rate": 1.9338036272810314e-05, + "loss": 1.0322, + "step": 743 + }, + { + "epoch": 0.14, + "learning_rate": 1.9335804264972018e-05, + "loss": 1.0224, + "step": 744 + }, + { + "epoch": 0.14, + "learning_rate": 1.933356862977592e-05, + "loss": 0.9763, + "step": 745 + }, + { + "epoch": 0.14, + "learning_rate": 1.9331329368090664e-05, + "loss": 1.031, + "step": 746 + }, + { + "epoch": 0.14, + "learning_rate": 1.93290864807863e-05, + "loss": 0.9863, + "step": 747 + }, + { + "epoch": 0.14, + "learning_rate": 1.9326839968734278e-05, + "loss": 1.0357, + "step": 748 + }, + { + "epoch": 0.14, + "learning_rate": 1.9324589832807467e-05, + "loss": 0.9796, + "step": 749 + }, + { + "epoch": 0.14, + "learning_rate": 1.9322336073880143e-05, + "loss": 1.0512, + "step": 750 + }, + { + "epoch": 0.14, + "learning_rate": 1.932007869282799e-05, + "loss": 1.0317, + "step": 751 + }, + { + "epoch": 0.14, + "learning_rate": 1.9317817690528086e-05, + "loss": 1.091, + "step": 752 + }, + { + "epoch": 0.14, + "learning_rate": 1.9315553067858933e-05, + "loss": 1.0212, + "step": 753 + }, + { + "epoch": 0.15, + "learning_rate": 1.931328482570044e-05, + "loss": 1.0434, + "step": 754 + }, + { + "epoch": 0.15, + "learning_rate": 1.93110129649339e-05, + "loss": 1.0757, + "step": 755 + }, + { + "epoch": 0.15, + "learning_rate": 1.9308737486442045e-05, + "loss": 0.9963, + "step": 756 + }, + { + "epoch": 0.15, + "learning_rate": 1.9306458391108984e-05, + "loss": 1.0401, + "step": 757 + }, + { + "epoch": 0.15, + "learning_rate": 1.9304175679820247e-05, + "loss": 0.9988, + "step": 758 + }, + { + "epoch": 0.15, + "learning_rate": 1.9301889353462765e-05, + "loss": 0.985, + "step": 759 + }, + { + "epoch": 0.15, + "learning_rate": 1.929959941292487e-05, + "loss": 1.0676, + "step": 760 + }, + { + "epoch": 0.15, + "learning_rate": 1.9297305859096305e-05, + "loss": 1.0582, + "step": 761 + }, + { + "epoch": 0.15, + "learning_rate": 1.929500869286821e-05, + "loss": 1.1122, + "step": 762 + }, + { + "epoch": 0.15, + "learning_rate": 1.9292707915133134e-05, + "loss": 1.0257, + "step": 763 + }, + { + "epoch": 0.15, + "learning_rate": 1.9290403526785025e-05, + "loss": 1.0419, + "step": 764 + }, + { + "epoch": 0.15, + "learning_rate": 1.9288095528719245e-05, + "loss": 1.1237, + "step": 765 + }, + { + "epoch": 0.15, + "learning_rate": 1.9285783921832537e-05, + "loss": 1.0157, + "step": 766 + }, + { + "epoch": 0.15, + "learning_rate": 1.9283468707023068e-05, + "loss": 1.0298, + "step": 767 + }, + { + "epoch": 0.15, + "learning_rate": 1.928114988519039e-05, + "loss": 1.0864, + "step": 768 + }, + { + "epoch": 0.15, + "learning_rate": 1.9278827457235473e-05, + "loss": 1.0166, + "step": 769 + }, + { + "epoch": 0.15, + "learning_rate": 1.927650142406067e-05, + "loss": 0.9778, + "step": 770 + }, + { + "epoch": 0.15, + "learning_rate": 1.927417178656975e-05, + "loss": 1.039, + "step": 771 + }, + { + "epoch": 0.15, + "learning_rate": 1.9271838545667876e-05, + "loss": 1.0246, + "step": 772 + }, + { + "epoch": 0.15, + "learning_rate": 1.926950170226161e-05, + "loss": 0.867, + "step": 773 + }, + { + "epoch": 0.15, + "learning_rate": 1.9267161257258916e-05, + "loss": 0.9936, + "step": 774 + }, + { + "epoch": 0.15, + "learning_rate": 1.9264817211569154e-05, + "loss": 1.0985, + "step": 775 + }, + { + "epoch": 0.15, + "learning_rate": 1.926246956610309e-05, + "loss": 1.0474, + "step": 776 + }, + { + "epoch": 0.15, + "learning_rate": 1.926011832177288e-05, + "loss": 1.0657, + "step": 777 + }, + { + "epoch": 0.15, + "learning_rate": 1.9257763479492086e-05, + "loss": 1.0601, + "step": 778 + }, + { + "epoch": 0.15, + "learning_rate": 1.9255405040175666e-05, + "loss": 1.1086, + "step": 779 + }, + { + "epoch": 0.15, + "learning_rate": 1.9253043004739967e-05, + "loss": 0.9879, + "step": 780 + }, + { + "epoch": 0.15, + "learning_rate": 1.9250677374102752e-05, + "loss": 1.03, + "step": 781 + }, + { + "epoch": 0.15, + "learning_rate": 1.9248308149183155e-05, + "loss": 1.0481, + "step": 782 + }, + { + "epoch": 0.15, + "learning_rate": 1.9245935330901733e-05, + "loss": 0.9917, + "step": 783 + }, + { + "epoch": 0.15, + "learning_rate": 1.9243558920180417e-05, + "loss": 1.0311, + "step": 784 + }, + { + "epoch": 0.15, + "learning_rate": 1.9241178917942552e-05, + "loss": 1.1058, + "step": 785 + }, + { + "epoch": 0.15, + "learning_rate": 1.9238795325112867e-05, + "loss": 1.0153, + "step": 786 + }, + { + "epoch": 0.15, + "learning_rate": 1.923640814261749e-05, + "loss": 1.0319, + "step": 787 + }, + { + "epoch": 0.15, + "learning_rate": 1.9234017371383946e-05, + "loss": 1.0097, + "step": 788 + }, + { + "epoch": 0.15, + "learning_rate": 1.9231623012341145e-05, + "loss": 1.0444, + "step": 789 + }, + { + "epoch": 0.15, + "learning_rate": 1.92292250664194e-05, + "loss": 1.1062, + "step": 790 + }, + { + "epoch": 0.15, + "learning_rate": 1.9226823534550418e-05, + "loss": 0.9501, + "step": 791 + }, + { + "epoch": 0.15, + "learning_rate": 1.9224418417667295e-05, + "loss": 1.0854, + "step": 792 + }, + { + "epoch": 0.15, + "learning_rate": 1.922200971670452e-05, + "loss": 1.0358, + "step": 793 + }, + { + "epoch": 0.15, + "learning_rate": 1.9219597432597975e-05, + "loss": 1.071, + "step": 794 + }, + { + "epoch": 0.15, + "learning_rate": 1.9217181566284942e-05, + "loss": 0.9867, + "step": 795 + }, + { + "epoch": 0.15, + "learning_rate": 1.921476211870408e-05, + "loss": 1.0585, + "step": 796 + }, + { + "epoch": 0.15, + "learning_rate": 1.921233909079545e-05, + "loss": 0.993, + "step": 797 + }, + { + "epoch": 0.15, + "learning_rate": 1.92099124835005e-05, + "loss": 1.0535, + "step": 798 + }, + { + "epoch": 0.15, + "learning_rate": 1.9207482297762076e-05, + "loss": 0.986, + "step": 799 + }, + { + "epoch": 0.15, + "learning_rate": 1.9205048534524405e-05, + "loss": 1.0851, + "step": 800 + }, + { + "epoch": 0.15, + "learning_rate": 1.9202611194733107e-05, + "loss": 1.1001, + "step": 801 + }, + { + "epoch": 0.15, + "learning_rate": 1.9200170279335194e-05, + "loss": 1.1009, + "step": 802 + }, + { + "epoch": 0.15, + "learning_rate": 1.9197725789279065e-05, + "loss": 1.0763, + "step": 803 + }, + { + "epoch": 0.15, + "learning_rate": 1.919527772551451e-05, + "loss": 0.9907, + "step": 804 + }, + { + "epoch": 0.15, + "learning_rate": 1.91928260889927e-05, + "loss": 1.0361, + "step": 805 + }, + { + "epoch": 0.16, + "learning_rate": 1.9190370880666206e-05, + "loss": 1.0622, + "step": 806 + }, + { + "epoch": 0.16, + "learning_rate": 1.9187912101488986e-05, + "loss": 1.0381, + "step": 807 + }, + { + "epoch": 0.16, + "learning_rate": 1.9185449752416367e-05, + "loss": 1.1185, + "step": 808 + }, + { + "epoch": 0.16, + "learning_rate": 1.9182983834405088e-05, + "loss": 1.0927, + "step": 809 + }, + { + "epoch": 0.16, + "learning_rate": 1.918051434841326e-05, + "loss": 0.9353, + "step": 810 + }, + { + "epoch": 0.16, + "learning_rate": 1.9178041295400383e-05, + "loss": 1.0356, + "step": 811 + }, + { + "epoch": 0.16, + "learning_rate": 1.917556467632734e-05, + "loss": 1.0937, + "step": 812 + }, + { + "epoch": 0.16, + "learning_rate": 1.9173084492156406e-05, + "loss": 0.9938, + "step": 813 + }, + { + "epoch": 0.16, + "learning_rate": 1.917060074385124e-05, + "loss": 0.9115, + "step": 814 + }, + { + "epoch": 0.16, + "learning_rate": 1.9168113432376885e-05, + "loss": 0.9718, + "step": 815 + }, + { + "epoch": 0.16, + "learning_rate": 1.9165622558699763e-05, + "loss": 0.9804, + "step": 816 + }, + { + "epoch": 0.16, + "learning_rate": 1.9163128123787688e-05, + "loss": 1.0454, + "step": 817 + }, + { + "epoch": 0.16, + "learning_rate": 1.916063012860985e-05, + "loss": 1.0387, + "step": 818 + }, + { + "epoch": 0.16, + "learning_rate": 1.9158128574136833e-05, + "loss": 1.0469, + "step": 819 + }, + { + "epoch": 0.16, + "learning_rate": 1.9155623461340594e-05, + "loss": 1.0279, + "step": 820 + }, + { + "epoch": 0.16, + "learning_rate": 1.9153114791194475e-05, + "loss": 1.0126, + "step": 821 + }, + { + "epoch": 0.16, + "learning_rate": 1.91506025646732e-05, + "loss": 1.0949, + "step": 822 + }, + { + "epoch": 0.16, + "learning_rate": 1.914808678275288e-05, + "loss": 1.0559, + "step": 823 + }, + { + "epoch": 0.16, + "learning_rate": 1.9145567446411003e-05, + "loss": 1.0188, + "step": 824 + }, + { + "epoch": 0.16, + "learning_rate": 1.9143044556626437e-05, + "loss": 1.0078, + "step": 825 + }, + { + "epoch": 0.16, + "learning_rate": 1.9140518114379433e-05, + "loss": 0.9998, + "step": 826 + }, + { + "epoch": 0.16, + "learning_rate": 1.913798812065162e-05, + "loss": 1.0401, + "step": 827 + }, + { + "epoch": 0.16, + "learning_rate": 1.913545457642601e-05, + "loss": 1.0064, + "step": 828 + }, + { + "epoch": 0.16, + "learning_rate": 1.913291748268699e-05, + "loss": 1.1325, + "step": 829 + }, + { + "epoch": 0.16, + "learning_rate": 1.9130376840420337e-05, + "loss": 1.0072, + "step": 830 + }, + { + "epoch": 0.16, + "learning_rate": 1.912783265061319e-05, + "loss": 1.0567, + "step": 831 + }, + { + "epoch": 0.16, + "learning_rate": 1.912528491425408e-05, + "loss": 0.9601, + "step": 832 + }, + { + "epoch": 0.16, + "learning_rate": 1.9122733632332907e-05, + "loss": 1.0254, + "step": 833 + }, + { + "epoch": 0.16, + "learning_rate": 1.9120178805840956e-05, + "loss": 1.0784, + "step": 834 + }, + { + "epoch": 0.16, + "learning_rate": 1.911762043577089e-05, + "loss": 1.0402, + "step": 835 + }, + { + "epoch": 0.16, + "learning_rate": 1.9115058523116734e-05, + "loss": 1.0482, + "step": 836 + }, + { + "epoch": 0.16, + "learning_rate": 1.9112493068873907e-05, + "loss": 1.0529, + "step": 837 + }, + { + "epoch": 0.16, + "learning_rate": 1.9109924074039198e-05, + "loss": 1.0015, + "step": 838 + }, + { + "epoch": 0.16, + "learning_rate": 1.910735153961077e-05, + "loss": 1.1011, + "step": 839 + }, + { + "epoch": 0.16, + "learning_rate": 1.9104775466588162e-05, + "loss": 1.0343, + "step": 840 + }, + { + "epoch": 0.16, + "learning_rate": 1.9102195855972287e-05, + "loss": 0.9978, + "step": 841 + }, + { + "epoch": 0.16, + "learning_rate": 1.9099612708765432e-05, + "loss": 1.0553, + "step": 842 + }, + { + "epoch": 0.16, + "learning_rate": 1.9097026025971268e-05, + "loss": 1.0267, + "step": 843 + }, + { + "epoch": 0.16, + "learning_rate": 1.9094435808594823e-05, + "loss": 1.0567, + "step": 844 + }, + { + "epoch": 0.16, + "learning_rate": 1.909184205764251e-05, + "loss": 0.9902, + "step": 845 + }, + { + "epoch": 0.16, + "learning_rate": 1.908924477412211e-05, + "loss": 1.0298, + "step": 846 + }, + { + "epoch": 0.16, + "learning_rate": 1.908664395904278e-05, + "loss": 0.9574, + "step": 847 + }, + { + "epoch": 0.16, + "learning_rate": 1.9084039613415052e-05, + "loss": 0.9699, + "step": 848 + }, + { + "epoch": 0.16, + "learning_rate": 1.9081431738250815e-05, + "loss": 1.0476, + "step": 849 + }, + { + "epoch": 0.16, + "learning_rate": 1.9078820334563346e-05, + "loss": 1.083, + "step": 850 + }, + { + "epoch": 0.16, + "learning_rate": 1.9076205403367287e-05, + "loss": 1.0787, + "step": 851 + }, + { + "epoch": 0.16, + "learning_rate": 1.907358694567865e-05, + "loss": 0.9873, + "step": 852 + }, + { + "epoch": 0.16, + "learning_rate": 1.9070964962514816e-05, + "loss": 0.974, + "step": 853 + }, + { + "epoch": 0.16, + "learning_rate": 1.9068339454894536e-05, + "loss": 0.9912, + "step": 854 + }, + { + "epoch": 0.16, + "learning_rate": 1.9065710423837936e-05, + "loss": 1.0356, + "step": 855 + }, + { + "epoch": 0.16, + "learning_rate": 1.9063077870366504e-05, + "loss": 0.9948, + "step": 856 + }, + { + "epoch": 0.16, + "learning_rate": 1.9060441795503095e-05, + "loss": 1.0874, + "step": 857 + }, + { + "epoch": 0.17, + "learning_rate": 1.9057802200271943e-05, + "loss": 0.931, + "step": 858 + }, + { + "epoch": 0.17, + "learning_rate": 1.9055159085698638e-05, + "loss": 1.0775, + "step": 859 + }, + { + "epoch": 0.17, + "learning_rate": 1.905251245281015e-05, + "loss": 0.9231, + "step": 860 + }, + { + "epoch": 0.17, + "learning_rate": 1.90498623026348e-05, + "loss": 1.0128, + "step": 861 + }, + { + "epoch": 0.17, + "learning_rate": 1.904720863620229e-05, + "loss": 1.0614, + "step": 862 + }, + { + "epoch": 0.17, + "learning_rate": 1.9044551454543683e-05, + "loss": 1.0387, + "step": 863 + }, + { + "epoch": 0.17, + "learning_rate": 1.9041890758691403e-05, + "loss": 1.1105, + "step": 864 + }, + { + "epoch": 0.17, + "learning_rate": 1.9039226549679243e-05, + "loss": 1.0442, + "step": 865 + }, + { + "epoch": 0.17, + "learning_rate": 1.903655882854237e-05, + "loss": 1.1082, + "step": 866 + }, + { + "epoch": 0.17, + "learning_rate": 1.90338875963173e-05, + "loss": 1.0831, + "step": 867 + }, + { + "epoch": 0.17, + "learning_rate": 1.903121285404192e-05, + "loss": 0.9969, + "step": 868 + }, + { + "epoch": 0.17, + "learning_rate": 1.9028534602755485e-05, + "loss": 1.084, + "step": 869 + }, + { + "epoch": 0.17, + "learning_rate": 1.902585284349861e-05, + "loss": 0.9995, + "step": 870 + }, + { + "epoch": 0.17, + "learning_rate": 1.9023167577313267e-05, + "loss": 1.0914, + "step": 871 + }, + { + "epoch": 0.17, + "learning_rate": 1.9020478805242803e-05, + "loss": 1.0162, + "step": 872 + }, + { + "epoch": 0.17, + "learning_rate": 1.901778652833192e-05, + "loss": 0.9863, + "step": 873 + }, + { + "epoch": 0.17, + "learning_rate": 1.901509074762668e-05, + "loss": 1.0466, + "step": 874 + }, + { + "epoch": 0.17, + "learning_rate": 1.901239146417451e-05, + "loss": 1.0204, + "step": 875 + }, + { + "epoch": 0.17, + "learning_rate": 1.900968867902419e-05, + "loss": 1.0097, + "step": 876 + }, + { + "epoch": 0.17, + "learning_rate": 1.9006982393225878e-05, + "loss": 1.0698, + "step": 877 + }, + { + "epoch": 0.17, + "learning_rate": 1.9004272607831077e-05, + "loss": 1.0448, + "step": 878 + }, + { + "epoch": 0.17, + "learning_rate": 1.9001559323892652e-05, + "loss": 1.0215, + "step": 879 + }, + { + "epoch": 0.17, + "learning_rate": 1.8998842542464833e-05, + "loss": 1.0937, + "step": 880 + }, + { + "epoch": 0.17, + "learning_rate": 1.8996122264603202e-05, + "loss": 1.123, + "step": 881 + }, + { + "epoch": 0.17, + "learning_rate": 1.8993398491364702e-05, + "loss": 0.9808, + "step": 882 + }, + { + "epoch": 0.17, + "learning_rate": 1.899067122380764e-05, + "loss": 1.0629, + "step": 883 + }, + { + "epoch": 0.17, + "learning_rate": 1.8987940462991673e-05, + "loss": 1.0455, + "step": 884 + }, + { + "epoch": 0.17, + "learning_rate": 1.8985206209977813e-05, + "loss": 1.0346, + "step": 885 + }, + { + "epoch": 0.17, + "learning_rate": 1.898246846582844e-05, + "loss": 1.0307, + "step": 886 + }, + { + "epoch": 0.17, + "learning_rate": 1.897972723160729e-05, + "loss": 0.9875, + "step": 887 + }, + { + "epoch": 0.17, + "learning_rate": 1.8976982508379436e-05, + "loss": 0.993, + "step": 888 + }, + { + "epoch": 0.17, + "learning_rate": 1.8974234297211327e-05, + "loss": 1.138, + "step": 889 + }, + { + "epoch": 0.17, + "learning_rate": 1.897148259917076e-05, + "loss": 0.9733, + "step": 890 + }, + { + "epoch": 0.17, + "learning_rate": 1.8968727415326885e-05, + "loss": 1.0345, + "step": 891 + }, + { + "epoch": 0.17, + "learning_rate": 1.896596874675021e-05, + "loss": 1.1173, + "step": 892 + }, + { + "epoch": 0.17, + "learning_rate": 1.8963206594512593e-05, + "loss": 1.0368, + "step": 893 + }, + { + "epoch": 0.17, + "learning_rate": 1.8960440959687254e-05, + "loss": 0.955, + "step": 894 + }, + { + "epoch": 0.17, + "learning_rate": 1.8957671843348754e-05, + "loss": 1.0336, + "step": 895 + }, + { + "epoch": 0.17, + "learning_rate": 1.895489924657301e-05, + "loss": 1.0969, + "step": 896 + }, + { + "epoch": 0.17, + "learning_rate": 1.8952123170437304e-05, + "loss": 1.0432, + "step": 897 + }, + { + "epoch": 0.17, + "learning_rate": 1.894934361602025e-05, + "loss": 1.0528, + "step": 898 + }, + { + "epoch": 0.17, + "learning_rate": 1.8946560584401833e-05, + "loss": 0.9974, + "step": 899 + }, + { + "epoch": 0.17, + "learning_rate": 1.8943774076663372e-05, + "loss": 0.9777, + "step": 900 + }, + { + "epoch": 0.17, + "learning_rate": 1.894098409388754e-05, + "loss": 0.9492, + "step": 901 + }, + { + "epoch": 0.17, + "learning_rate": 1.8938190637158377e-05, + "loss": 1.03, + "step": 902 + }, + { + "epoch": 0.17, + "learning_rate": 1.893539370756125e-05, + "loss": 0.9703, + "step": 903 + }, + { + "epoch": 0.17, + "learning_rate": 1.893259330618289e-05, + "loss": 1.0182, + "step": 904 + }, + { + "epoch": 0.17, + "learning_rate": 1.892978943411137e-05, + "loss": 1.0466, + "step": 905 + }, + { + "epoch": 0.17, + "learning_rate": 1.8926982092436117e-05, + "loss": 0.9741, + "step": 906 + }, + { + "epoch": 0.17, + "learning_rate": 1.89241712822479e-05, + "loss": 1.0013, + "step": 907 + }, + { + "epoch": 0.17, + "learning_rate": 1.8921357004638837e-05, + "loss": 1.0423, + "step": 908 + }, + { + "epoch": 0.17, + "learning_rate": 1.8918539260702394e-05, + "loss": 1.0954, + "step": 909 + }, + { + "epoch": 0.18, + "learning_rate": 1.891571805153339e-05, + "loss": 1.0681, + "step": 910 + }, + { + "epoch": 0.18, + "learning_rate": 1.8912893378227984e-05, + "loss": 0.9473, + "step": 911 + }, + { + "epoch": 0.18, + "learning_rate": 1.891006524188368e-05, + "loss": 1.0748, + "step": 912 + }, + { + "epoch": 0.18, + "learning_rate": 1.890723364359933e-05, + "loss": 1.0547, + "step": 913 + }, + { + "epoch": 0.18, + "learning_rate": 1.890439858447513e-05, + "loss": 0.9439, + "step": 914 + }, + { + "epoch": 0.18, + "learning_rate": 1.890156006561262e-05, + "loss": 1.0744, + "step": 915 + }, + { + "epoch": 0.18, + "learning_rate": 1.8898718088114688e-05, + "loss": 1.0715, + "step": 916 + }, + { + "epoch": 0.18, + "learning_rate": 1.8895872653085563e-05, + "loss": 1.0279, + "step": 917 + }, + { + "epoch": 0.18, + "learning_rate": 1.8893023761630816e-05, + "loss": 0.9594, + "step": 918 + }, + { + "epoch": 0.18, + "learning_rate": 1.8890171414857366e-05, + "loss": 0.9722, + "step": 919 + }, + { + "epoch": 0.18, + "learning_rate": 1.888731561387347e-05, + "loss": 1.0753, + "step": 920 + }, + { + "epoch": 0.18, + "learning_rate": 1.8884456359788725e-05, + "loss": 1.0893, + "step": 921 + }, + { + "epoch": 0.18, + "learning_rate": 1.8881593653714075e-05, + "loss": 0.9867, + "step": 922 + }, + { + "epoch": 0.18, + "learning_rate": 1.8878727496761808e-05, + "loss": 1.0298, + "step": 923 + }, + { + "epoch": 0.18, + "learning_rate": 1.8875857890045544e-05, + "loss": 0.996, + "step": 924 + }, + { + "epoch": 0.18, + "learning_rate": 1.8872984834680242e-05, + "loss": 0.9814, + "step": 925 + }, + { + "epoch": 0.18, + "learning_rate": 1.887010833178222e-05, + "loss": 0.9723, + "step": 926 + }, + { + "epoch": 0.18, + "learning_rate": 1.886722838246911e-05, + "loss": 0.9727, + "step": 927 + }, + { + "epoch": 0.18, + "learning_rate": 1.8864344987859898e-05, + "loss": 1.0587, + "step": 928 + }, + { + "epoch": 0.18, + "learning_rate": 1.886145814907491e-05, + "loss": 0.9804, + "step": 929 + }, + { + "epoch": 0.18, + "learning_rate": 1.88585678672358e-05, + "loss": 1.0736, + "step": 930 + }, + { + "epoch": 0.18, + "learning_rate": 1.8855674143465567e-05, + "loss": 0.9921, + "step": 931 + }, + { + "epoch": 0.18, + "learning_rate": 1.885277697888855e-05, + "loss": 1.0089, + "step": 932 + }, + { + "epoch": 0.18, + "learning_rate": 1.884987637463042e-05, + "loss": 1.0633, + "step": 933 + }, + { + "epoch": 0.18, + "learning_rate": 1.8846972331818182e-05, + "loss": 0.9985, + "step": 934 + }, + { + "epoch": 0.18, + "learning_rate": 1.8844064851580182e-05, + "loss": 0.9492, + "step": 935 + }, + { + "epoch": 0.18, + "learning_rate": 1.8841153935046098e-05, + "loss": 1.0588, + "step": 936 + }, + { + "epoch": 0.18, + "learning_rate": 1.8838239583346948e-05, + "loss": 1.0474, + "step": 937 + }, + { + "epoch": 0.18, + "learning_rate": 1.8835321797615083e-05, + "loss": 0.9675, + "step": 938 + }, + { + "epoch": 0.18, + "learning_rate": 1.8832400578984183e-05, + "loss": 1.0451, + "step": 939 + }, + { + "epoch": 0.18, + "learning_rate": 1.8829475928589272e-05, + "loss": 1.0334, + "step": 940 + }, + { + "epoch": 0.18, + "learning_rate": 1.8826547847566692e-05, + "loss": 0.9915, + "step": 941 + }, + { + "epoch": 0.18, + "learning_rate": 1.8823616337054136e-05, + "loss": 1.025, + "step": 942 + }, + { + "epoch": 0.18, + "learning_rate": 1.8820681398190618e-05, + "loss": 1.1253, + "step": 943 + }, + { + "epoch": 0.18, + "learning_rate": 1.8817743032116483e-05, + "loss": 1.0316, + "step": 944 + }, + { + "epoch": 0.18, + "learning_rate": 1.8814801239973413e-05, + "loss": 1.0031, + "step": 945 + }, + { + "epoch": 0.18, + "learning_rate": 1.8811856022904423e-05, + "loss": 1.0215, + "step": 946 + }, + { + "epoch": 0.18, + "learning_rate": 1.880890738205386e-05, + "loss": 1.05, + "step": 947 + }, + { + "epoch": 0.18, + "learning_rate": 1.880595531856738e-05, + "loss": 1.0402, + "step": 948 + }, + { + "epoch": 0.18, + "learning_rate": 1.8802999833592e-05, + "loss": 0.9436, + "step": 949 + }, + { + "epoch": 0.18, + "learning_rate": 1.880004092827605e-05, + "loss": 1.0648, + "step": 950 + }, + { + "epoch": 0.18, + "learning_rate": 1.8797078603769184e-05, + "loss": 1.0693, + "step": 951 + }, + { + "epoch": 0.18, + "learning_rate": 1.87941128612224e-05, + "loss": 1.0072, + "step": 952 + }, + { + "epoch": 0.18, + "learning_rate": 1.8791143701788004e-05, + "loss": 1.0539, + "step": 953 + }, + { + "epoch": 0.18, + "learning_rate": 1.8788171126619653e-05, + "loss": 1.1163, + "step": 954 + }, + { + "epoch": 0.18, + "learning_rate": 1.8785195136872315e-05, + "loss": 1.0671, + "step": 955 + }, + { + "epoch": 0.18, + "learning_rate": 1.8782215733702286e-05, + "loss": 1.003, + "step": 956 + }, + { + "epoch": 0.18, + "learning_rate": 1.8779232918267194e-05, + "loss": 1.0544, + "step": 957 + }, + { + "epoch": 0.18, + "learning_rate": 1.8776246691725988e-05, + "loss": 1.0224, + "step": 958 + }, + { + "epoch": 0.18, + "learning_rate": 1.8773257055238946e-05, + "loss": 1.0034, + "step": 959 + }, + { + "epoch": 0.18, + "learning_rate": 1.8770264009967667e-05, + "loss": 1.0315, + "step": 960 + }, + { + "epoch": 0.18, + "learning_rate": 1.876726755707508e-05, + "loss": 1.0509, + "step": 961 + }, + { + "epoch": 0.19, + "learning_rate": 1.8764267697725432e-05, + "loss": 1.0245, + "step": 962 + }, + { + "epoch": 0.19, + "learning_rate": 1.8761264433084294e-05, + "loss": 1.0178, + "step": 963 + }, + { + "epoch": 0.19, + "learning_rate": 1.8758257764318566e-05, + "loss": 1.0413, + "step": 964 + }, + { + "epoch": 0.19, + "learning_rate": 1.8755247692596467e-05, + "loss": 0.9521, + "step": 965 + }, + { + "epoch": 0.19, + "learning_rate": 1.8752234219087538e-05, + "loss": 0.9541, + "step": 966 + }, + { + "epoch": 0.19, + "learning_rate": 1.874921734496264e-05, + "loss": 0.9361, + "step": 967 + }, + { + "epoch": 0.19, + "learning_rate": 1.874619707139396e-05, + "loss": 1.0566, + "step": 968 + }, + { + "epoch": 0.19, + "learning_rate": 1.8743173399555e-05, + "loss": 0.9892, + "step": 969 + }, + { + "epoch": 0.19, + "learning_rate": 1.8740146330620584e-05, + "loss": 1.0332, + "step": 970 + }, + { + "epoch": 0.19, + "learning_rate": 1.8737115865766865e-05, + "loss": 1.0778, + "step": 971 + }, + { + "epoch": 0.19, + "learning_rate": 1.87340820061713e-05, + "loss": 1.0076, + "step": 972 + }, + { + "epoch": 0.19, + "learning_rate": 1.8731044753012674e-05, + "loss": 1.0864, + "step": 973 + }, + { + "epoch": 0.19, + "learning_rate": 1.872800410747109e-05, + "loss": 1.0973, + "step": 974 + }, + { + "epoch": 0.19, + "learning_rate": 1.8724960070727974e-05, + "loss": 1.058, + "step": 975 + }, + { + "epoch": 0.19, + "learning_rate": 1.8721912643966055e-05, + "loss": 0.9957, + "step": 976 + }, + { + "epoch": 0.19, + "learning_rate": 1.871886182836939e-05, + "loss": 1.0654, + "step": 977 + }, + { + "epoch": 0.19, + "learning_rate": 1.871580762512336e-05, + "loss": 1.0329, + "step": 978 + }, + { + "epoch": 0.19, + "learning_rate": 1.871275003541464e-05, + "loss": 0.9586, + "step": 979 + }, + { + "epoch": 0.19, + "learning_rate": 1.8709689060431242e-05, + "loss": 1.0371, + "step": 980 + }, + { + "epoch": 0.19, + "learning_rate": 1.8706624701362485e-05, + "loss": 1.0639, + "step": 981 + }, + { + "epoch": 0.19, + "learning_rate": 1.8703556959398998e-05, + "loss": 1.0318, + "step": 982 + }, + { + "epoch": 0.19, + "learning_rate": 1.8700485835732735e-05, + "loss": 1.0539, + "step": 983 + }, + { + "epoch": 0.19, + "learning_rate": 1.8697411331556958e-05, + "loss": 1.003, + "step": 984 + }, + { + "epoch": 0.19, + "learning_rate": 1.8694333448066238e-05, + "loss": 1.0673, + "step": 985 + }, + { + "epoch": 0.19, + "learning_rate": 1.8691252186456465e-05, + "loss": 1.0942, + "step": 986 + }, + { + "epoch": 0.19, + "learning_rate": 1.8688167547924846e-05, + "loss": 1.0427, + "step": 987 + }, + { + "epoch": 0.19, + "learning_rate": 1.868507953366989e-05, + "loss": 0.9229, + "step": 988 + }, + { + "epoch": 0.19, + "learning_rate": 1.8681988144891425e-05, + "loss": 1.1077, + "step": 989 + }, + { + "epoch": 0.19, + "learning_rate": 1.8678893382790583e-05, + "loss": 0.9481, + "step": 990 + }, + { + "epoch": 0.19, + "learning_rate": 1.8675795248569816e-05, + "loss": 1.0065, + "step": 991 + }, + { + "epoch": 0.19, + "learning_rate": 1.8672693743432875e-05, + "loss": 1.0148, + "step": 992 + }, + { + "epoch": 0.19, + "learning_rate": 1.8669588868584832e-05, + "loss": 0.9614, + "step": 993 + }, + { + "epoch": 0.19, + "learning_rate": 1.866648062523206e-05, + "loss": 0.8759, + "step": 994 + }, + { + "epoch": 0.19, + "learning_rate": 1.866336901458225e-05, + "loss": 1.1116, + "step": 995 + }, + { + "epoch": 0.19, + "learning_rate": 1.866025403784439e-05, + "loss": 1.0352, + "step": 996 + }, + { + "epoch": 0.19, + "learning_rate": 1.8657135696228777e-05, + "loss": 1.0066, + "step": 997 + }, + { + "epoch": 0.19, + "learning_rate": 1.865401399094703e-05, + "loss": 1.0207, + "step": 998 + }, + { + "epoch": 0.19, + "learning_rate": 1.8650888923212057e-05, + "loss": 0.9178, + "step": 999 + }, + { + "epoch": 0.19, + "learning_rate": 1.8647760494238082e-05, + "loss": 1.0291, + "step": 1000 + }, + { + "epoch": 0.19, + "learning_rate": 1.8644628705240636e-05, + "loss": 1.077, + "step": 1001 + }, + { + "epoch": 0.19, + "learning_rate": 1.864149355743655e-05, + "loss": 1.1242, + "step": 1002 + }, + { + "epoch": 0.19, + "learning_rate": 1.863835505204396e-05, + "loss": 1.0518, + "step": 1003 + }, + { + "epoch": 0.19, + "learning_rate": 1.8635213190282312e-05, + "loss": 1.0275, + "step": 1004 + }, + { + "epoch": 0.19, + "learning_rate": 1.863206797337235e-05, + "loss": 0.9655, + "step": 1005 + }, + { + "epoch": 0.19, + "learning_rate": 1.862891940253613e-05, + "loss": 1.0814, + "step": 1006 + }, + { + "epoch": 0.19, + "learning_rate": 1.8625767478997003e-05, + "loss": 1.0084, + "step": 1007 + }, + { + "epoch": 0.19, + "learning_rate": 1.8622612203979628e-05, + "loss": 0.9727, + "step": 1008 + }, + { + "epoch": 0.19, + "learning_rate": 1.8619453578709957e-05, + "loss": 1.1123, + "step": 1009 + }, + { + "epoch": 0.19, + "learning_rate": 1.861629160441526e-05, + "loss": 0.981, + "step": 1010 + }, + { + "epoch": 0.19, + "learning_rate": 1.8613126282324092e-05, + "loss": 1.0082, + "step": 1011 + }, + { + "epoch": 0.19, + "learning_rate": 1.8609957613666316e-05, + "loss": 1.082, + "step": 1012 + }, + { + "epoch": 0.19, + "learning_rate": 1.8606785599673098e-05, + "loss": 1.1103, + "step": 1013 + }, + { + "epoch": 0.2, + "learning_rate": 1.86036102415769e-05, + "loss": 1.0425, + "step": 1014 + }, + { + "epoch": 0.2, + "learning_rate": 1.860043154061148e-05, + "loss": 0.9938, + "step": 1015 + }, + { + "epoch": 0.2, + "learning_rate": 1.8597249498011906e-05, + "loss": 0.9901, + "step": 1016 + }, + { + "epoch": 0.2, + "learning_rate": 1.8594064115014528e-05, + "loss": 1.1021, + "step": 1017 + }, + { + "epoch": 0.2, + "learning_rate": 1.8590875392857008e-05, + "loss": 0.96, + "step": 1018 + }, + { + "epoch": 0.2, + "learning_rate": 1.8587683332778305e-05, + "loss": 1.0091, + "step": 1019 + }, + { + "epoch": 0.2, + "learning_rate": 1.8584487936018663e-05, + "loss": 1.0503, + "step": 1020 + }, + { + "epoch": 0.2, + "learning_rate": 1.858128920381963e-05, + "loss": 1.0239, + "step": 1021 + }, + { + "epoch": 0.2, + "learning_rate": 1.8578087137424057e-05, + "loss": 1.0529, + "step": 1022 + }, + { + "epoch": 0.2, + "learning_rate": 1.8574881738076076e-05, + "loss": 0.9694, + "step": 1023 + }, + { + "epoch": 0.2, + "learning_rate": 1.8571673007021124e-05, + "loss": 0.9666, + "step": 1024 + }, + { + "epoch": 0.2, + "learning_rate": 1.856846094550593e-05, + "loss": 1.0039, + "step": 1025 + }, + { + "epoch": 0.2, + "learning_rate": 1.8565245554778516e-05, + "loss": 1.0505, + "step": 1026 + }, + { + "epoch": 0.2, + "learning_rate": 1.8562026836088198e-05, + "loss": 0.9668, + "step": 1027 + }, + { + "epoch": 0.2, + "learning_rate": 1.855880479068559e-05, + "loss": 1.1032, + "step": 1028 + }, + { + "epoch": 0.2, + "learning_rate": 1.855557941982258e-05, + "loss": 1.0841, + "step": 1029 + }, + { + "epoch": 0.2, + "learning_rate": 1.8552350724752383e-05, + "loss": 0.9719, + "step": 1030 + }, + { + "epoch": 0.2, + "learning_rate": 1.854911870672947e-05, + "loss": 0.915, + "step": 1031 + }, + { + "epoch": 0.2, + "learning_rate": 1.854588336700962e-05, + "loss": 1.0526, + "step": 1032 + }, + { + "epoch": 0.2, + "learning_rate": 1.85426447068499e-05, + "loss": 1.0277, + "step": 1033 + }, + { + "epoch": 0.2, + "learning_rate": 1.853940272750867e-05, + "loss": 1.0031, + "step": 1034 + }, + { + "epoch": 0.2, + "learning_rate": 1.8536157430245577e-05, + "loss": 0.9957, + "step": 1035 + }, + { + "epoch": 0.2, + "learning_rate": 1.8532908816321557e-05, + "loss": 1.0461, + "step": 1036 + }, + { + "epoch": 0.2, + "learning_rate": 1.8529656886998838e-05, + "loss": 1.0082, + "step": 1037 + }, + { + "epoch": 0.2, + "learning_rate": 1.8526401643540924e-05, + "loss": 1.014, + "step": 1038 + }, + { + "epoch": 0.2, + "learning_rate": 1.8523143087212623e-05, + "loss": 1.0561, + "step": 1039 + }, + { + "epoch": 0.2, + "learning_rate": 1.851988121928002e-05, + "loss": 1.0809, + "step": 1040 + }, + { + "epoch": 0.2, + "learning_rate": 1.8516616041010495e-05, + "loss": 0.965, + "step": 1041 + }, + { + "epoch": 0.2, + "learning_rate": 1.85133475536727e-05, + "loss": 0.9704, + "step": 1042 + }, + { + "epoch": 0.2, + "learning_rate": 1.851007575853659e-05, + "loss": 0.9899, + "step": 1043 + }, + { + "epoch": 0.2, + "learning_rate": 1.8506800656873397e-05, + "loss": 1.0797, + "step": 1044 + }, + { + "epoch": 0.2, + "learning_rate": 1.850352224995563e-05, + "loss": 1.0572, + "step": 1045 + }, + { + "epoch": 0.2, + "learning_rate": 1.8500240539057093e-05, + "loss": 0.914, + "step": 1046 + }, + { + "epoch": 0.2, + "learning_rate": 1.8496955525452877e-05, + "loss": 1.0148, + "step": 1047 + }, + { + "epoch": 0.2, + "learning_rate": 1.8493667210419337e-05, + "loss": 1.0637, + "step": 1048 + }, + { + "epoch": 0.2, + "learning_rate": 1.8490375595234135e-05, + "loss": 1.0228, + "step": 1049 + }, + { + "epoch": 0.2, + "learning_rate": 1.8487080681176195e-05, + "loss": 0.9567, + "step": 1050 + }, + { + "epoch": 0.2, + "learning_rate": 1.848378246952574e-05, + "loss": 0.9905, + "step": 1051 + }, + { + "epoch": 0.2, + "learning_rate": 1.848048096156426e-05, + "loss": 1.0544, + "step": 1052 + }, + { + "epoch": 0.2, + "learning_rate": 1.8477176158574533e-05, + "loss": 1.0252, + "step": 1053 + }, + { + "epoch": 0.2, + "learning_rate": 1.8473868061840617e-05, + "loss": 0.9931, + "step": 1054 + }, + { + "epoch": 0.2, + "learning_rate": 1.847055667264785e-05, + "loss": 0.9612, + "step": 1055 + }, + { + "epoch": 0.2, + "learning_rate": 1.8467241992282842e-05, + "loss": 1.0687, + "step": 1056 + }, + { + "epoch": 0.2, + "learning_rate": 1.8463924022033492e-05, + "loss": 1.0074, + "step": 1057 + }, + { + "epoch": 0.2, + "learning_rate": 1.8460602763188974e-05, + "loss": 0.9763, + "step": 1058 + }, + { + "epoch": 0.2, + "learning_rate": 1.8457278217039735e-05, + "loss": 0.9511, + "step": 1059 + }, + { + "epoch": 0.2, + "learning_rate": 1.8453950384877504e-05, + "loss": 1.0102, + "step": 1060 + }, + { + "epoch": 0.2, + "learning_rate": 1.8450619267995283e-05, + "loss": 0.9508, + "step": 1061 + }, + { + "epoch": 0.2, + "learning_rate": 1.844728486768736e-05, + "loss": 1.0096, + "step": 1062 + }, + { + "epoch": 0.2, + "learning_rate": 1.8443947185249287e-05, + "loss": 0.9392, + "step": 1063 + }, + { + "epoch": 0.2, + "learning_rate": 1.8440606221977893e-05, + "loss": 0.9889, + "step": 1064 + }, + { + "epoch": 0.2, + "learning_rate": 1.8437261979171294e-05, + "loss": 0.9285, + "step": 1065 + }, + { + "epoch": 0.21, + "learning_rate": 1.843391445812886e-05, + "loss": 0.866, + "step": 1066 + }, + { + "epoch": 0.21, + "learning_rate": 1.843056366015125e-05, + "loss": 1.0603, + "step": 1067 + }, + { + "epoch": 0.21, + "learning_rate": 1.8427209586540392e-05, + "loss": 0.9201, + "step": 1068 + }, + { + "epoch": 0.21, + "learning_rate": 1.8423852238599488e-05, + "loss": 0.8888, + "step": 1069 + }, + { + "epoch": 0.21, + "learning_rate": 1.842049161763301e-05, + "loss": 1.0784, + "step": 1070 + }, + { + "epoch": 0.21, + "learning_rate": 1.84171277249467e-05, + "loss": 1.0837, + "step": 1071 + }, + { + "epoch": 0.21, + "learning_rate": 1.841376056184758e-05, + "loss": 0.952, + "step": 1072 + }, + { + "epoch": 0.21, + "learning_rate": 1.8410390129643927e-05, + "loss": 0.9875, + "step": 1073 + }, + { + "epoch": 0.21, + "learning_rate": 1.8407016429645305e-05, + "loss": 0.9524, + "step": 1074 + }, + { + "epoch": 0.21, + "learning_rate": 1.8403639463162536e-05, + "loss": 0.9654, + "step": 1075 + }, + { + "epoch": 0.21, + "learning_rate": 1.8400259231507716e-05, + "loss": 0.975, + "step": 1076 + }, + { + "epoch": 0.21, + "learning_rate": 1.839687573599421e-05, + "loss": 1.0391, + "step": 1077 + }, + { + "epoch": 0.21, + "learning_rate": 1.8393488977936654e-05, + "loss": 1.0461, + "step": 1078 + }, + { + "epoch": 0.21, + "learning_rate": 1.839009895865094e-05, + "loss": 0.9509, + "step": 1079 + }, + { + "epoch": 0.21, + "learning_rate": 1.8386705679454243e-05, + "loss": 1.0689, + "step": 1080 + }, + { + "epoch": 0.21, + "learning_rate": 1.8383309141664992e-05, + "loss": 1.0482, + "step": 1081 + }, + { + "epoch": 0.21, + "learning_rate": 1.837990934660288e-05, + "loss": 1.0283, + "step": 1082 + }, + { + "epoch": 0.21, + "learning_rate": 1.8376506295588887e-05, + "loss": 0.9423, + "step": 1083 + }, + { + "epoch": 0.21, + "learning_rate": 1.8373099989945236e-05, + "loss": 0.9957, + "step": 1084 + }, + { + "epoch": 0.21, + "learning_rate": 1.836969043099542e-05, + "loss": 1.0189, + "step": 1085 + }, + { + "epoch": 0.21, + "learning_rate": 1.83662776200642e-05, + "loss": 1.0091, + "step": 1086 + }, + { + "epoch": 0.21, + "learning_rate": 1.8362861558477597e-05, + "loss": 0.9234, + "step": 1087 + }, + { + "epoch": 0.21, + "learning_rate": 1.8359442247562896e-05, + "loss": 1.0036, + "step": 1088 + }, + { + "epoch": 0.21, + "learning_rate": 1.835601968864865e-05, + "loss": 1.0485, + "step": 1089 + }, + { + "epoch": 0.21, + "learning_rate": 1.8352593883064664e-05, + "loss": 0.9536, + "step": 1090 + }, + { + "epoch": 0.21, + "learning_rate": 1.8349164832142015e-05, + "loss": 1.015, + "step": 1091 + }, + { + "epoch": 0.21, + "learning_rate": 1.834573253721303e-05, + "loss": 1.0367, + "step": 1092 + }, + { + "epoch": 0.21, + "learning_rate": 1.83422969996113e-05, + "loss": 1.0839, + "step": 1093 + }, + { + "epoch": 0.21, + "learning_rate": 1.8338858220671683e-05, + "loss": 0.9549, + "step": 1094 + }, + { + "epoch": 0.21, + "learning_rate": 1.833541620173029e-05, + "loss": 1.0306, + "step": 1095 + }, + { + "epoch": 0.21, + "learning_rate": 1.833197094412449e-05, + "loss": 1.0526, + "step": 1096 + }, + { + "epoch": 0.21, + "learning_rate": 1.8328522449192915e-05, + "loss": 1.048, + "step": 1097 + }, + { + "epoch": 0.21, + "learning_rate": 1.8325070718275452e-05, + "loss": 1.0147, + "step": 1098 + }, + { + "epoch": 0.21, + "learning_rate": 1.8321615752713242e-05, + "loss": 1.0094, + "step": 1099 + }, + { + "epoch": 0.21, + "learning_rate": 1.8318157553848694e-05, + "loss": 0.9985, + "step": 1100 + }, + { + "epoch": 0.21, + "learning_rate": 1.8314696123025456e-05, + "loss": 1.0223, + "step": 1101 + }, + { + "epoch": 0.21, + "learning_rate": 1.8311231461588446e-05, + "loss": 1.0398, + "step": 1102 + }, + { + "epoch": 0.21, + "learning_rate": 1.830776357088383e-05, + "loss": 0.9733, + "step": 1103 + }, + { + "epoch": 0.21, + "learning_rate": 1.8304292452259037e-05, + "loss": 1.1417, + "step": 1104 + }, + { + "epoch": 0.21, + "learning_rate": 1.8300818107062744e-05, + "loss": 1.0315, + "step": 1105 + }, + { + "epoch": 0.21, + "learning_rate": 1.8297340536644877e-05, + "loss": 1.0079, + "step": 1106 + }, + { + "epoch": 0.21, + "learning_rate": 1.8293859742356625e-05, + "loss": 1.0121, + "step": 1107 + }, + { + "epoch": 0.21, + "learning_rate": 1.8290375725550417e-05, + "loss": 1.078, + "step": 1108 + }, + { + "epoch": 0.21, + "learning_rate": 1.8286888487579954e-05, + "loss": 1.0622, + "step": 1109 + }, + { + "epoch": 0.21, + "learning_rate": 1.8283398029800167e-05, + "loss": 0.9702, + "step": 1110 + }, + { + "epoch": 0.21, + "learning_rate": 1.827990435356725e-05, + "loss": 1.0843, + "step": 1111 + }, + { + "epoch": 0.21, + "learning_rate": 1.827640746023865e-05, + "loss": 0.9374, + "step": 1112 + }, + { + "epoch": 0.21, + "learning_rate": 1.827290735117305e-05, + "loss": 1.0663, + "step": 1113 + }, + { + "epoch": 0.21, + "learning_rate": 1.82694040277304e-05, + "loss": 1.0347, + "step": 1114 + }, + { + "epoch": 0.21, + "learning_rate": 1.8265897491271885e-05, + "loss": 0.9365, + "step": 1115 + }, + { + "epoch": 0.21, + "learning_rate": 1.826238774315995e-05, + "loss": 0.9324, + "step": 1116 + }, + { + "epoch": 0.21, + "learning_rate": 1.8258874784758276e-05, + "loss": 1.0345, + "step": 1117 + }, + { + "epoch": 0.22, + "learning_rate": 1.82553586174318e-05, + "loss": 0.9438, + "step": 1118 + }, + { + "epoch": 0.22, + "learning_rate": 1.8251839242546696e-05, + "loss": 0.9695, + "step": 1119 + }, + { + "epoch": 0.22, + "learning_rate": 1.82483166614704e-05, + "loss": 1.022, + "step": 1120 + }, + { + "epoch": 0.22, + "learning_rate": 1.8244790875571582e-05, + "loss": 1.0326, + "step": 1121 + }, + { + "epoch": 0.22, + "learning_rate": 1.8241261886220155e-05, + "loss": 1.0514, + "step": 1122 + }, + { + "epoch": 0.22, + "learning_rate": 1.8237729694787295e-05, + "loss": 0.9911, + "step": 1123 + }, + { + "epoch": 0.22, + "learning_rate": 1.8234194302645393e-05, + "loss": 1.0128, + "step": 1124 + }, + { + "epoch": 0.22, + "learning_rate": 1.8230655711168112e-05, + "loss": 0.9871, + "step": 1125 + }, + { + "epoch": 0.22, + "learning_rate": 1.8227113921730336e-05, + "loss": 0.9231, + "step": 1126 + }, + { + "epoch": 0.22, + "learning_rate": 1.822356893570821e-05, + "loss": 1.0023, + "step": 1127 + }, + { + "epoch": 0.22, + "learning_rate": 1.8220020754479104e-05, + "loss": 0.9409, + "step": 1128 + }, + { + "epoch": 0.22, + "learning_rate": 1.821646937942164e-05, + "loss": 1.0257, + "step": 1129 + }, + { + "epoch": 0.22, + "learning_rate": 1.821291481191568e-05, + "loss": 1.0274, + "step": 1130 + }, + { + "epoch": 0.22, + "learning_rate": 1.8209357053342325e-05, + "loss": 0.9485, + "step": 1131 + }, + { + "epoch": 0.22, + "learning_rate": 1.8205796105083917e-05, + "loss": 0.9885, + "step": 1132 + }, + { + "epoch": 0.22, + "learning_rate": 1.8202231968524033e-05, + "loss": 1.0845, + "step": 1133 + }, + { + "epoch": 0.22, + "learning_rate": 1.8198664645047496e-05, + "loss": 0.9998, + "step": 1134 + }, + { + "epoch": 0.22, + "learning_rate": 1.8195094136040357e-05, + "loss": 1.0237, + "step": 1135 + }, + { + "epoch": 0.22, + "learning_rate": 1.819152044288992e-05, + "loss": 1.0635, + "step": 1136 + }, + { + "epoch": 0.22, + "learning_rate": 1.818794356698471e-05, + "loss": 1.041, + "step": 1137 + }, + { + "epoch": 0.22, + "learning_rate": 1.8184363509714494e-05, + "loss": 1.0044, + "step": 1138 + }, + { + "epoch": 0.22, + "learning_rate": 1.818078027247028e-05, + "loss": 1.0277, + "step": 1139 + }, + { + "epoch": 0.22, + "learning_rate": 1.8177193856644315e-05, + "loss": 0.9567, + "step": 1140 + }, + { + "epoch": 0.22, + "learning_rate": 1.8173604263630066e-05, + "loss": 0.9998, + "step": 1141 + }, + { + "epoch": 0.22, + "learning_rate": 1.8170011494822242e-05, + "loss": 0.9901, + "step": 1142 + }, + { + "epoch": 0.22, + "learning_rate": 1.816641555161679e-05, + "loss": 1.0212, + "step": 1143 + }, + { + "epoch": 0.22, + "learning_rate": 1.8162816435410892e-05, + "loss": 1.0235, + "step": 1144 + }, + { + "epoch": 0.22, + "learning_rate": 1.8159214147602947e-05, + "loss": 1.0201, + "step": 1145 + }, + { + "epoch": 0.22, + "learning_rate": 1.8155608689592604e-05, + "loss": 0.9418, + "step": 1146 + }, + { + "epoch": 0.22, + "learning_rate": 1.8152000062780735e-05, + "loss": 0.965, + "step": 1147 + }, + { + "epoch": 0.22, + "learning_rate": 1.8148388268569453e-05, + "loss": 0.9828, + "step": 1148 + }, + { + "epoch": 0.22, + "learning_rate": 1.814477330836208e-05, + "loss": 0.9913, + "step": 1149 + }, + { + "epoch": 0.22, + "learning_rate": 1.8141155183563195e-05, + "loss": 1.0005, + "step": 1150 + }, + { + "epoch": 0.22, + "learning_rate": 1.8137533895578585e-05, + "loss": 0.9263, + "step": 1151 + }, + { + "epoch": 0.22, + "learning_rate": 1.8133909445815277e-05, + "loss": 1.0054, + "step": 1152 + }, + { + "epoch": 0.22, + "learning_rate": 1.813028183568153e-05, + "loss": 1.0164, + "step": 1153 + }, + { + "epoch": 0.22, + "learning_rate": 1.8126651066586818e-05, + "loss": 1.039, + "step": 1154 + }, + { + "epoch": 0.22, + "learning_rate": 1.8123017139941853e-05, + "loss": 1.0737, + "step": 1155 + }, + { + "epoch": 0.22, + "learning_rate": 1.811938005715857e-05, + "loss": 0.9023, + "step": 1156 + }, + { + "epoch": 0.22, + "learning_rate": 1.8115739819650124e-05, + "loss": 1.0844, + "step": 1157 + }, + { + "epoch": 0.22, + "learning_rate": 1.8112096428830912e-05, + "loss": 0.9967, + "step": 1158 + }, + { + "epoch": 0.22, + "learning_rate": 1.8108449886116543e-05, + "loss": 0.9038, + "step": 1159 + }, + { + "epoch": 0.22, + "learning_rate": 1.8104800192923856e-05, + "loss": 1.0037, + "step": 1160 + }, + { + "epoch": 0.22, + "learning_rate": 1.8101147350670905e-05, + "loss": 1.0019, + "step": 1161 + }, + { + "epoch": 0.22, + "learning_rate": 1.8097491360776987e-05, + "loss": 1.0414, + "step": 1162 + }, + { + "epoch": 0.22, + "learning_rate": 1.8093832224662598e-05, + "loss": 1.0383, + "step": 1163 + }, + { + "epoch": 0.22, + "learning_rate": 1.8090169943749477e-05, + "loss": 0.9136, + "step": 1164 + }, + { + "epoch": 0.22, + "learning_rate": 1.808650451946057e-05, + "loss": 0.9792, + "step": 1165 + }, + { + "epoch": 0.22, + "learning_rate": 1.8082835953220055e-05, + "loss": 0.9787, + "step": 1166 + }, + { + "epoch": 0.22, + "learning_rate": 1.8079164246453322e-05, + "loss": 1.0608, + "step": 1167 + }, + { + "epoch": 0.22, + "learning_rate": 1.8075489400586993e-05, + "loss": 1.0279, + "step": 1168 + }, + { + "epoch": 0.22, + "learning_rate": 1.807181141704889e-05, + "loss": 0.9726, + "step": 1169 + }, + { + "epoch": 0.23, + "learning_rate": 1.806813029726808e-05, + "loss": 1.0131, + "step": 1170 + }, + { + "epoch": 0.23, + "learning_rate": 1.806444604267483e-05, + "loss": 1.0516, + "step": 1171 + }, + { + "epoch": 0.23, + "learning_rate": 1.8060758654700622e-05, + "loss": 1.082, + "step": 1172 + }, + { + "epoch": 0.23, + "learning_rate": 1.8057068134778174e-05, + "loss": 1.0452, + "step": 1173 + }, + { + "epoch": 0.23, + "learning_rate": 1.8053374484341403e-05, + "loss": 0.9489, + "step": 1174 + }, + { + "epoch": 0.23, + "learning_rate": 1.8049677704825455e-05, + "loss": 0.9963, + "step": 1175 + }, + { + "epoch": 0.23, + "learning_rate": 1.8045977797666685e-05, + "loss": 1.0149, + "step": 1176 + }, + { + "epoch": 0.23, + "learning_rate": 1.8042274764302664e-05, + "loss": 0.9563, + "step": 1177 + }, + { + "epoch": 0.23, + "learning_rate": 1.8038568606172172e-05, + "loss": 1.0504, + "step": 1178 + }, + { + "epoch": 0.23, + "learning_rate": 1.803485932471522e-05, + "loss": 0.9948, + "step": 1179 + }, + { + "epoch": 0.23, + "learning_rate": 1.803114692137302e-05, + "loss": 1.0572, + "step": 1180 + }, + { + "epoch": 0.23, + "learning_rate": 1.8027431397587993e-05, + "loss": 1.0167, + "step": 1181 + }, + { + "epoch": 0.23, + "learning_rate": 1.8023712754803783e-05, + "loss": 1.0502, + "step": 1182 + }, + { + "epoch": 0.23, + "learning_rate": 1.8019990994465235e-05, + "loss": 0.9266, + "step": 1183 + }, + { + "epoch": 0.23, + "learning_rate": 1.801626611801842e-05, + "loss": 0.9867, + "step": 1184 + }, + { + "epoch": 0.23, + "learning_rate": 1.801253812691061e-05, + "loss": 1.022, + "step": 1185 + }, + { + "epoch": 0.23, + "learning_rate": 1.8008807022590283e-05, + "loss": 1.0432, + "step": 1186 + }, + { + "epoch": 0.23, + "learning_rate": 1.8005072806507132e-05, + "loss": 0.9918, + "step": 1187 + }, + { + "epoch": 0.23, + "learning_rate": 1.8001335480112067e-05, + "loss": 0.9659, + "step": 1188 + }, + { + "epoch": 0.23, + "learning_rate": 1.799759504485719e-05, + "loss": 0.9932, + "step": 1189 + }, + { + "epoch": 0.23, + "learning_rate": 1.7993851502195822e-05, + "loss": 1.0866, + "step": 1190 + }, + { + "epoch": 0.23, + "learning_rate": 1.7990104853582494e-05, + "loss": 0.9405, + "step": 1191 + }, + { + "epoch": 0.23, + "learning_rate": 1.798635510047293e-05, + "loss": 1.0312, + "step": 1192 + }, + { + "epoch": 0.23, + "learning_rate": 1.7982602244324074e-05, + "loss": 0.9732, + "step": 1193 + }, + { + "epoch": 0.23, + "learning_rate": 1.7978846286594073e-05, + "loss": 1.0748, + "step": 1194 + }, + { + "epoch": 0.23, + "learning_rate": 1.7975087228742272e-05, + "loss": 0.9896, + "step": 1195 + }, + { + "epoch": 0.23, + "learning_rate": 1.7971325072229227e-05, + "loss": 0.989, + "step": 1196 + }, + { + "epoch": 0.23, + "learning_rate": 1.7967559818516697e-05, + "loss": 0.9505, + "step": 1197 + }, + { + "epoch": 0.23, + "learning_rate": 1.7963791469067637e-05, + "loss": 1.0584, + "step": 1198 + }, + { + "epoch": 0.23, + "learning_rate": 1.796002002534622e-05, + "loss": 0.9993, + "step": 1199 + }, + { + "epoch": 0.23, + "learning_rate": 1.795624548881781e-05, + "loss": 1.032, + "step": 1200 + }, + { + "epoch": 0.23, + "learning_rate": 1.7952467860948975e-05, + "loss": 0.917, + "step": 1201 + }, + { + "epoch": 0.23, + "learning_rate": 1.7948687143207485e-05, + "loss": 0.9645, + "step": 1202 + }, + { + "epoch": 0.23, + "learning_rate": 1.7944903337062304e-05, + "loss": 1.0271, + "step": 1203 + }, + { + "epoch": 0.23, + "learning_rate": 1.7941116443983612e-05, + "loss": 1.0234, + "step": 1204 + }, + { + "epoch": 0.23, + "learning_rate": 1.793732646544277e-05, + "loss": 1.0709, + "step": 1205 + }, + { + "epoch": 0.23, + "learning_rate": 1.7933533402912354e-05, + "loss": 1.0475, + "step": 1206 + }, + { + "epoch": 0.23, + "learning_rate": 1.7929737257866123e-05, + "loss": 1.0472, + "step": 1207 + }, + { + "epoch": 0.23, + "learning_rate": 1.7925938031779044e-05, + "loss": 1.0391, + "step": 1208 + }, + { + "epoch": 0.23, + "learning_rate": 1.7922135726127276e-05, + "loss": 1.0164, + "step": 1209 + }, + { + "epoch": 0.23, + "learning_rate": 1.7918330342388183e-05, + "loss": 0.9566, + "step": 1210 + }, + { + "epoch": 0.23, + "learning_rate": 1.791452188204031e-05, + "loss": 1.0344, + "step": 1211 + }, + { + "epoch": 0.23, + "learning_rate": 1.7910710346563417e-05, + "loss": 0.952, + "step": 1212 + }, + { + "epoch": 0.23, + "learning_rate": 1.7906895737438437e-05, + "loss": 0.9378, + "step": 1213 + }, + { + "epoch": 0.23, + "learning_rate": 1.7903078056147515e-05, + "loss": 0.979, + "step": 1214 + }, + { + "epoch": 0.23, + "learning_rate": 1.7899257304173975e-05, + "loss": 1.0333, + "step": 1215 + }, + { + "epoch": 0.23, + "learning_rate": 1.7895433483002356e-05, + "loss": 1.0766, + "step": 1216 + }, + { + "epoch": 0.23, + "learning_rate": 1.7891606594118362e-05, + "loss": 1.0287, + "step": 1217 + }, + { + "epoch": 0.23, + "learning_rate": 1.7887776639008912e-05, + "loss": 1.0705, + "step": 1218 + }, + { + "epoch": 0.23, + "learning_rate": 1.7883943619162102e-05, + "loss": 1.0174, + "step": 1219 + }, + { + "epoch": 0.23, + "learning_rate": 1.788010753606722e-05, + "loss": 0.9506, + "step": 1220 + }, + { + "epoch": 0.23, + "learning_rate": 1.7876268391214756e-05, + "loss": 0.9514, + "step": 1221 + }, + { + "epoch": 0.24, + "learning_rate": 1.7872426186096374e-05, + "loss": 1.0765, + "step": 1222 + }, + { + "epoch": 0.24, + "learning_rate": 1.786858092220494e-05, + "loss": 0.9848, + "step": 1223 + }, + { + "epoch": 0.24, + "learning_rate": 1.78647326010345e-05, + "loss": 1.0528, + "step": 1224 + }, + { + "epoch": 0.24, + "learning_rate": 1.786088122408029e-05, + "loss": 1.1136, + "step": 1225 + }, + { + "epoch": 0.24, + "learning_rate": 1.785702679283874e-05, + "loss": 0.9927, + "step": 1226 + }, + { + "epoch": 0.24, + "learning_rate": 1.785316930880745e-05, + "loss": 1.0321, + "step": 1227 + }, + { + "epoch": 0.24, + "learning_rate": 1.7849308773485226e-05, + "loss": 0.8675, + "step": 1228 + }, + { + "epoch": 0.24, + "learning_rate": 1.7845445188372047e-05, + "loss": 1.0295, + "step": 1229 + }, + { + "epoch": 0.24, + "learning_rate": 1.784157855496908e-05, + "loss": 1.0159, + "step": 1230 + }, + { + "epoch": 0.24, + "learning_rate": 1.7837708874778683e-05, + "loss": 0.9267, + "step": 1231 + }, + { + "epoch": 0.24, + "learning_rate": 1.783383614930438e-05, + "loss": 0.9991, + "step": 1232 + }, + { + "epoch": 0.24, + "learning_rate": 1.78299603800509e-05, + "loss": 0.9446, + "step": 1233 + }, + { + "epoch": 0.24, + "learning_rate": 1.782608156852414e-05, + "loss": 1.0499, + "step": 1234 + }, + { + "epoch": 0.24, + "learning_rate": 1.7822199716231186e-05, + "loss": 0.9703, + "step": 1235 + }, + { + "epoch": 0.24, + "learning_rate": 1.78183148246803e-05, + "loss": 1.0025, + "step": 1236 + }, + { + "epoch": 0.24, + "learning_rate": 1.781442689538093e-05, + "loss": 0.9291, + "step": 1237 + }, + { + "epoch": 0.24, + "learning_rate": 1.7810535929843703e-05, + "loss": 1.0571, + "step": 1238 + }, + { + "epoch": 0.24, + "learning_rate": 1.780664192958042e-05, + "loss": 1.0219, + "step": 1239 + }, + { + "epoch": 0.24, + "learning_rate": 1.780274489610407e-05, + "loss": 0.9728, + "step": 1240 + }, + { + "epoch": 0.24, + "learning_rate": 1.7798844830928818e-05, + "loss": 0.9699, + "step": 1241 + }, + { + "epoch": 0.24, + "learning_rate": 1.7794941735570005e-05, + "loss": 1.0171, + "step": 1242 + }, + { + "epoch": 0.24, + "learning_rate": 1.7791035611544146e-05, + "loss": 0.9267, + "step": 1243 + }, + { + "epoch": 0.24, + "learning_rate": 1.778712646036894e-05, + "loss": 1.036, + "step": 1244 + }, + { + "epoch": 0.24, + "learning_rate": 1.778321428356326e-05, + "loss": 0.9341, + "step": 1245 + }, + { + "epoch": 0.24, + "learning_rate": 1.777929908264715e-05, + "loss": 0.9423, + "step": 1246 + }, + { + "epoch": 0.24, + "learning_rate": 1.7775380859141837e-05, + "loss": 1.0022, + "step": 1247 + }, + { + "epoch": 0.24, + "learning_rate": 1.777145961456971e-05, + "loss": 1.0251, + "step": 1248 + }, + { + "epoch": 0.24, + "learning_rate": 1.7767535350454347e-05, + "loss": 0.961, + "step": 1249 + }, + { + "epoch": 0.24, + "learning_rate": 1.7763608068320487e-05, + "loss": 0.9514, + "step": 1250 + }, + { + "epoch": 0.24, + "learning_rate": 1.775967776969405e-05, + "loss": 1.0036, + "step": 1251 + }, + { + "epoch": 0.24, + "learning_rate": 1.7755744456102123e-05, + "loss": 0.9783, + "step": 1252 + }, + { + "epoch": 0.24, + "learning_rate": 1.7751808129072968e-05, + "loss": 1.0023, + "step": 1253 + }, + { + "epoch": 0.24, + "learning_rate": 1.7747868790136012e-05, + "loss": 1.0463, + "step": 1254 + }, + { + "epoch": 0.24, + "learning_rate": 1.7743926440821857e-05, + "loss": 1.003, + "step": 1255 + }, + { + "epoch": 0.24, + "learning_rate": 1.7739981082662275e-05, + "loss": 1.039, + "step": 1256 + }, + { + "epoch": 0.24, + "learning_rate": 1.7736032717190208e-05, + "loss": 0.9954, + "step": 1257 + }, + { + "epoch": 0.24, + "learning_rate": 1.773208134593976e-05, + "loss": 1.0866, + "step": 1258 + }, + { + "epoch": 0.24, + "learning_rate": 1.772812697044621e-05, + "loss": 1.0709, + "step": 1259 + }, + { + "epoch": 0.24, + "learning_rate": 1.7724169592245996e-05, + "loss": 1.005, + "step": 1260 + }, + { + "epoch": 0.24, + "learning_rate": 1.772020921287674e-05, + "loss": 1.0034, + "step": 1261 + }, + { + "epoch": 0.24, + "learning_rate": 1.7716245833877202e-05, + "loss": 1.0405, + "step": 1262 + }, + { + "epoch": 0.24, + "learning_rate": 1.7712279456787334e-05, + "loss": 1.0276, + "step": 1263 + }, + { + "epoch": 0.24, + "learning_rate": 1.7708310083148242e-05, + "loss": 0.909, + "step": 1264 + }, + { + "epoch": 0.24, + "learning_rate": 1.7704337714502195e-05, + "loss": 0.9553, + "step": 1265 + }, + { + "epoch": 0.24, + "learning_rate": 1.7700362352392632e-05, + "loss": 1.0732, + "step": 1266 + }, + { + "epoch": 0.24, + "learning_rate": 1.769638399836414e-05, + "loss": 1.0016, + "step": 1267 + }, + { + "epoch": 0.24, + "learning_rate": 1.769240265396249e-05, + "loss": 0.9965, + "step": 1268 + }, + { + "epoch": 0.24, + "learning_rate": 1.7688418320734596e-05, + "loss": 0.9978, + "step": 1269 + }, + { + "epoch": 0.24, + "learning_rate": 1.7684431000228548e-05, + "loss": 0.9615, + "step": 1270 + }, + { + "epoch": 0.24, + "learning_rate": 1.7680440693993586e-05, + "loss": 0.9957, + "step": 1271 + }, + { + "epoch": 0.24, + "learning_rate": 1.7676447403580114e-05, + "loss": 0.9656, + "step": 1272 + }, + { + "epoch": 0.24, + "learning_rate": 1.7672451130539697e-05, + "loss": 1.0121, + "step": 1273 + }, + { + "epoch": 0.25, + "learning_rate": 1.7668451876425056e-05, + "loss": 1.0776, + "step": 1274 + }, + { + "epoch": 0.25, + "learning_rate": 1.766444964279007e-05, + "loss": 0.9462, + "step": 1275 + }, + { + "epoch": 0.25, + "learning_rate": 1.766044443118978e-05, + "loss": 1.0394, + "step": 1276 + }, + { + "epoch": 0.25, + "learning_rate": 1.7656436243180385e-05, + "loss": 1.0023, + "step": 1277 + }, + { + "epoch": 0.25, + "learning_rate": 1.765242508031923e-05, + "loss": 1.0027, + "step": 1278 + }, + { + "epoch": 0.25, + "learning_rate": 1.7648410944164823e-05, + "loss": 0.9987, + "step": 1279 + }, + { + "epoch": 0.25, + "learning_rate": 1.7644393836276832e-05, + "loss": 0.9761, + "step": 1280 + }, + { + "epoch": 0.25, + "learning_rate": 1.7640373758216075e-05, + "loss": 0.9881, + "step": 1281 + }, + { + "epoch": 0.25, + "learning_rate": 1.7636350711544518e-05, + "loss": 1.0141, + "step": 1282 + }, + { + "epoch": 0.25, + "learning_rate": 1.7632324697825288e-05, + "loss": 0.9837, + "step": 1283 + }, + { + "epoch": 0.25, + "learning_rate": 1.7628295718622666e-05, + "loss": 0.9495, + "step": 1284 + }, + { + "epoch": 0.25, + "learning_rate": 1.762426377550208e-05, + "loss": 1.019, + "step": 1285 + }, + { + "epoch": 0.25, + "learning_rate": 1.762022887003011e-05, + "loss": 0.9737, + "step": 1286 + }, + { + "epoch": 0.25, + "learning_rate": 1.761619100377449e-05, + "loss": 0.981, + "step": 1287 + }, + { + "epoch": 0.25, + "learning_rate": 1.7612150178304102e-05, + "loss": 0.9838, + "step": 1288 + }, + { + "epoch": 0.25, + "learning_rate": 1.7608106395188983e-05, + "loss": 1.043, + "step": 1289 + }, + { + "epoch": 0.25, + "learning_rate": 1.7604059656000313e-05, + "loss": 1.0401, + "step": 1290 + }, + { + "epoch": 0.25, + "learning_rate": 1.7600009962310417e-05, + "loss": 1.0604, + "step": 1291 + }, + { + "epoch": 0.25, + "learning_rate": 1.7595957315692782e-05, + "loss": 1.006, + "step": 1292 + }, + { + "epoch": 0.25, + "learning_rate": 1.759190171772203e-05, + "loss": 0.9403, + "step": 1293 + }, + { + "epoch": 0.25, + "learning_rate": 1.7587843169973934e-05, + "loss": 1.0104, + "step": 1294 + }, + { + "epoch": 0.25, + "learning_rate": 1.7583781674025415e-05, + "loss": 1.0471, + "step": 1295 + }, + { + "epoch": 0.25, + "learning_rate": 1.757971723145453e-05, + "loss": 0.9714, + "step": 1296 + }, + { + "epoch": 0.25, + "learning_rate": 1.75756498438405e-05, + "loss": 0.9782, + "step": 1297 + }, + { + "epoch": 0.25, + "learning_rate": 1.7571579512763665e-05, + "loss": 0.979, + "step": 1298 + }, + { + "epoch": 0.25, + "learning_rate": 1.756750623980553e-05, + "loss": 1.0365, + "step": 1299 + }, + { + "epoch": 0.25, + "learning_rate": 1.7563430026548737e-05, + "loss": 0.9759, + "step": 1300 + }, + { + "epoch": 0.25, + "learning_rate": 1.7559350874577066e-05, + "loss": 0.8605, + "step": 1301 + }, + { + "epoch": 0.25, + "learning_rate": 1.7555268785475438e-05, + "loss": 0.9821, + "step": 1302 + }, + { + "epoch": 0.25, + "learning_rate": 1.755118376082992e-05, + "loss": 0.978, + "step": 1303 + }, + { + "epoch": 0.25, + "learning_rate": 1.7547095802227723e-05, + "loss": 1.0007, + "step": 1304 + }, + { + "epoch": 0.25, + "learning_rate": 1.7543004911257186e-05, + "loss": 1.1041, + "step": 1305 + }, + { + "epoch": 0.25, + "learning_rate": 1.75389110895078e-05, + "loss": 1.0155, + "step": 1306 + }, + { + "epoch": 0.25, + "learning_rate": 1.7534814338570187e-05, + "loss": 0.9576, + "step": 1307 + }, + { + "epoch": 0.25, + "learning_rate": 1.7530714660036112e-05, + "loss": 0.9829, + "step": 1308 + }, + { + "epoch": 0.25, + "learning_rate": 1.7526612055498468e-05, + "loss": 1.0771, + "step": 1309 + }, + { + "epoch": 0.25, + "learning_rate": 1.7522506526551303e-05, + "loss": 0.9512, + "step": 1310 + }, + { + "epoch": 0.25, + "learning_rate": 1.7518398074789776e-05, + "loss": 1.067, + "step": 1311 + }, + { + "epoch": 0.25, + "learning_rate": 1.7514286701810203e-05, + "loss": 1.0131, + "step": 1312 + }, + { + "epoch": 0.25, + "learning_rate": 1.751017240921003e-05, + "loss": 0.9273, + "step": 1313 + }, + { + "epoch": 0.25, + "learning_rate": 1.7506055198587835e-05, + "loss": 0.9742, + "step": 1314 + }, + { + "epoch": 0.25, + "learning_rate": 1.7501935071543325e-05, + "loss": 1.0179, + "step": 1315 + }, + { + "epoch": 0.25, + "learning_rate": 1.7497812029677344e-05, + "loss": 1.0036, + "step": 1316 + }, + { + "epoch": 0.25, + "learning_rate": 1.7493686074591873e-05, + "loss": 0.9727, + "step": 1317 + }, + { + "epoch": 0.25, + "learning_rate": 1.7489557207890025e-05, + "loss": 0.9713, + "step": 1318 + }, + { + "epoch": 0.25, + "learning_rate": 1.7485425431176032e-05, + "loss": 0.9919, + "step": 1319 + }, + { + "epoch": 0.25, + "learning_rate": 1.748129074605527e-05, + "loss": 0.906, + "step": 1320 + }, + { + "epoch": 0.25, + "learning_rate": 1.7477153154134244e-05, + "loss": 1.0927, + "step": 1321 + }, + { + "epoch": 0.25, + "learning_rate": 1.7473012657020577e-05, + "loss": 0.9422, + "step": 1322 + }, + { + "epoch": 0.25, + "learning_rate": 1.7468869256323036e-05, + "loss": 0.916, + "step": 1323 + }, + { + "epoch": 0.25, + "learning_rate": 1.7464722953651504e-05, + "loss": 0.9882, + "step": 1324 + }, + { + "epoch": 0.26, + "learning_rate": 1.7460573750616996e-05, + "loss": 1.0526, + "step": 1325 + }, + { + "epoch": 0.26, + "learning_rate": 1.7456421648831658e-05, + "loss": 1.0019, + "step": 1326 + }, + { + "epoch": 0.26, + "learning_rate": 1.7452266649908756e-05, + "loss": 1.051, + "step": 1327 + }, + { + "epoch": 0.26, + "learning_rate": 1.7448108755462684e-05, + "loss": 0.9596, + "step": 1328 + }, + { + "epoch": 0.26, + "learning_rate": 1.744394796710896e-05, + "loss": 1.002, + "step": 1329 + }, + { + "epoch": 0.26, + "learning_rate": 1.7439784286464234e-05, + "loss": 1.0365, + "step": 1330 + }, + { + "epoch": 0.26, + "learning_rate": 1.743561771514626e-05, + "loss": 0.993, + "step": 1331 + }, + { + "epoch": 0.26, + "learning_rate": 1.7431448254773943e-05, + "loss": 1.057, + "step": 1332 + }, + { + "epoch": 0.26, + "learning_rate": 1.7427275906967288e-05, + "loss": 1.0909, + "step": 1333 + }, + { + "epoch": 0.26, + "learning_rate": 1.7423100673347435e-05, + "loss": 0.9167, + "step": 1334 + }, + { + "epoch": 0.26, + "learning_rate": 1.741892255553664e-05, + "loss": 1.056, + "step": 1335 + }, + { + "epoch": 0.26, + "learning_rate": 1.741474155515827e-05, + "loss": 1.0124, + "step": 1336 + }, + { + "epoch": 0.26, + "learning_rate": 1.741055767383683e-05, + "loss": 1.0343, + "step": 1337 + }, + { + "epoch": 0.26, + "learning_rate": 1.7406370913197938e-05, + "loss": 0.9847, + "step": 1338 + }, + { + "epoch": 0.26, + "learning_rate": 1.7402181274868323e-05, + "loss": 1.0261, + "step": 1339 + }, + { + "epoch": 0.26, + "learning_rate": 1.7397988760475842e-05, + "loss": 0.944, + "step": 1340 + }, + { + "epoch": 0.26, + "learning_rate": 1.739379337164946e-05, + "loss": 0.9791, + "step": 1341 + }, + { + "epoch": 0.26, + "learning_rate": 1.738959511001928e-05, + "loss": 0.9818, + "step": 1342 + }, + { + "epoch": 0.26, + "learning_rate": 1.7385393977216486e-05, + "loss": 1.0025, + "step": 1343 + }, + { + "epoch": 0.26, + "learning_rate": 1.738118997487341e-05, + "loss": 0.9902, + "step": 1344 + }, + { + "epoch": 0.26, + "learning_rate": 1.7376983104623477e-05, + "loss": 0.9403, + "step": 1345 + }, + { + "epoch": 0.26, + "learning_rate": 1.737277336810124e-05, + "loss": 1.0025, + "step": 1346 + }, + { + "epoch": 0.26, + "learning_rate": 1.7368560766942362e-05, + "loss": 0.9574, + "step": 1347 + }, + { + "epoch": 0.26, + "learning_rate": 1.736434530278362e-05, + "loss": 0.9455, + "step": 1348 + }, + { + "epoch": 0.26, + "learning_rate": 1.73601269772629e-05, + "loss": 1.0238, + "step": 1349 + }, + { + "epoch": 0.26, + "learning_rate": 1.7355905792019195e-05, + "loss": 1.1003, + "step": 1350 + }, + { + "epoch": 0.26, + "learning_rate": 1.7351681748692622e-05, + "loss": 1.0445, + "step": 1351 + }, + { + "epoch": 0.26, + "learning_rate": 1.73474548489244e-05, + "loss": 1.0774, + "step": 1352 + }, + { + "epoch": 0.26, + "learning_rate": 1.7343225094356857e-05, + "loss": 0.976, + "step": 1353 + }, + { + "epoch": 0.26, + "learning_rate": 1.7338992486633438e-05, + "loss": 0.9849, + "step": 1354 + }, + { + "epoch": 0.26, + "learning_rate": 1.733475702739869e-05, + "loss": 1.0545, + "step": 1355 + }, + { + "epoch": 0.26, + "learning_rate": 1.7330518718298263e-05, + "loss": 0.8999, + "step": 1356 + }, + { + "epoch": 0.26, + "learning_rate": 1.732627756097893e-05, + "loss": 0.8893, + "step": 1357 + }, + { + "epoch": 0.26, + "learning_rate": 1.732203355708856e-05, + "loss": 0.9689, + "step": 1358 + }, + { + "epoch": 0.26, + "learning_rate": 1.7317786708276124e-05, + "loss": 1.0443, + "step": 1359 + }, + { + "epoch": 0.26, + "learning_rate": 1.7313537016191706e-05, + "loss": 0.9905, + "step": 1360 + }, + { + "epoch": 0.26, + "learning_rate": 1.7309284482486494e-05, + "loss": 0.9588, + "step": 1361 + }, + { + "epoch": 0.26, + "learning_rate": 1.7305029108812777e-05, + "loss": 1.0329, + "step": 1362 + }, + { + "epoch": 0.26, + "learning_rate": 1.730077089682395e-05, + "loss": 0.9963, + "step": 1363 + }, + { + "epoch": 0.26, + "learning_rate": 1.729650984817451e-05, + "loss": 0.8934, + "step": 1364 + }, + { + "epoch": 0.26, + "learning_rate": 1.7292245964520056e-05, + "loss": 0.9674, + "step": 1365 + }, + { + "epoch": 0.26, + "learning_rate": 1.7287979247517285e-05, + "loss": 1.0742, + "step": 1366 + }, + { + "epoch": 0.26, + "learning_rate": 1.7283709698824004e-05, + "loss": 1.0667, + "step": 1367 + }, + { + "epoch": 0.26, + "learning_rate": 1.727943732009911e-05, + "loss": 1.0033, + "step": 1368 + }, + { + "epoch": 0.26, + "learning_rate": 1.7275162113002607e-05, + "loss": 1.0404, + "step": 1369 + }, + { + "epoch": 0.26, + "learning_rate": 1.7270884079195596e-05, + "loss": 0.9853, + "step": 1370 + }, + { + "epoch": 0.26, + "learning_rate": 1.7266603220340273e-05, + "loss": 0.9539, + "step": 1371 + }, + { + "epoch": 0.26, + "learning_rate": 1.726231953809993e-05, + "loss": 0.9658, + "step": 1372 + }, + { + "epoch": 0.26, + "learning_rate": 1.7258033034138972e-05, + "loss": 0.9334, + "step": 1373 + }, + { + "epoch": 0.26, + "learning_rate": 1.7253743710122877e-05, + "loss": 0.9903, + "step": 1374 + }, + { + "epoch": 0.26, + "learning_rate": 1.7249451567718236e-05, + "loss": 1.0376, + "step": 1375 + }, + { + "epoch": 0.26, + "learning_rate": 1.7245156608592727e-05, + "loss": 1.0642, + "step": 1376 + }, + { + "epoch": 0.27, + "learning_rate": 1.7240858834415126e-05, + "loss": 0.9574, + "step": 1377 + }, + { + "epoch": 0.27, + "learning_rate": 1.7236558246855303e-05, + "loss": 0.9469, + "step": 1378 + }, + { + "epoch": 0.27, + "learning_rate": 1.7232254847584212e-05, + "loss": 0.985, + "step": 1379 + }, + { + "epoch": 0.27, + "learning_rate": 1.7227948638273918e-05, + "loss": 1.063, + "step": 1380 + }, + { + "epoch": 0.27, + "learning_rate": 1.7223639620597556e-05, + "loss": 0.9674, + "step": 1381 + }, + { + "epoch": 0.27, + "learning_rate": 1.721932779622937e-05, + "loss": 0.9774, + "step": 1382 + }, + { + "epoch": 0.27, + "learning_rate": 1.721501316684469e-05, + "loss": 1.0379, + "step": 1383 + }, + { + "epoch": 0.27, + "learning_rate": 1.7210695734119926e-05, + "loss": 1.0101, + "step": 1384 + }, + { + "epoch": 0.27, + "learning_rate": 1.7206375499732586e-05, + "loss": 0.8703, + "step": 1385 + }, + { + "epoch": 0.27, + "learning_rate": 1.7202052465361268e-05, + "loss": 1.0398, + "step": 1386 + }, + { + "epoch": 0.27, + "learning_rate": 1.7197726632685653e-05, + "loss": 1.0319, + "step": 1387 + }, + { + "epoch": 0.27, + "learning_rate": 1.7193398003386514e-05, + "loss": 0.9989, + "step": 1388 + }, + { + "epoch": 0.27, + "learning_rate": 1.7189066579145704e-05, + "loss": 1.0099, + "step": 1389 + }, + { + "epoch": 0.27, + "learning_rate": 1.7184732361646168e-05, + "loss": 1.0726, + "step": 1390 + }, + { + "epoch": 0.27, + "learning_rate": 1.718039535257194e-05, + "loss": 1.0535, + "step": 1391 + }, + { + "epoch": 0.27, + "learning_rate": 1.717605555360812e-05, + "loss": 1.0085, + "step": 1392 + }, + { + "epoch": 0.27, + "learning_rate": 1.7171712966440916e-05, + "loss": 0.9752, + "step": 1393 + }, + { + "epoch": 0.27, + "learning_rate": 1.71673675927576e-05, + "loss": 1.0414, + "step": 1394 + }, + { + "epoch": 0.27, + "learning_rate": 1.7163019434246545e-05, + "loss": 1.007, + "step": 1395 + }, + { + "epoch": 0.27, + "learning_rate": 1.7158668492597186e-05, + "loss": 1.0302, + "step": 1396 + }, + { + "epoch": 0.27, + "learning_rate": 1.7154314769500052e-05, + "loss": 0.9289, + "step": 1397 + }, + { + "epoch": 0.27, + "learning_rate": 1.7149958266646756e-05, + "loss": 1.1066, + "step": 1398 + }, + { + "epoch": 0.27, + "learning_rate": 1.7145598985729976e-05, + "loss": 1.0249, + "step": 1399 + }, + { + "epoch": 0.27, + "learning_rate": 1.7141236928443482e-05, + "loss": 1.0081, + "step": 1400 + }, + { + "epoch": 0.27, + "learning_rate": 1.7136872096482123e-05, + "loss": 1.0116, + "step": 1401 + }, + { + "epoch": 0.27, + "learning_rate": 1.713250449154182e-05, + "loss": 1.0282, + "step": 1402 + }, + { + "epoch": 0.27, + "learning_rate": 1.7128134115319567e-05, + "loss": 0.9218, + "step": 1403 + }, + { + "epoch": 0.27, + "learning_rate": 1.712376096951345e-05, + "loss": 0.9984, + "step": 1404 + }, + { + "epoch": 0.27, + "learning_rate": 1.711938505582262e-05, + "loss": 0.9157, + "step": 1405 + }, + { + "epoch": 0.27, + "learning_rate": 1.7115006375947304e-05, + "loss": 1.042, + "step": 1406 + }, + { + "epoch": 0.27, + "learning_rate": 1.7110624931588805e-05, + "loss": 1.0117, + "step": 1407 + }, + { + "epoch": 0.27, + "learning_rate": 1.7106240724449507e-05, + "loss": 1.0508, + "step": 1408 + }, + { + "epoch": 0.27, + "learning_rate": 1.7101853756232856e-05, + "loss": 1.0247, + "step": 1409 + }, + { + "epoch": 0.27, + "learning_rate": 1.7097464028643376e-05, + "loss": 1.0039, + "step": 1410 + }, + { + "epoch": 0.27, + "learning_rate": 1.7093071543386667e-05, + "loss": 0.9873, + "step": 1411 + }, + { + "epoch": 0.27, + "learning_rate": 1.7088676302169394e-05, + "loss": 1.034, + "step": 1412 + }, + { + "epoch": 0.27, + "learning_rate": 1.7084278306699295e-05, + "loss": 0.9866, + "step": 1413 + }, + { + "epoch": 0.27, + "learning_rate": 1.7079877558685178e-05, + "loss": 0.9557, + "step": 1414 + }, + { + "epoch": 0.27, + "learning_rate": 1.7075474059836923e-05, + "loss": 0.9698, + "step": 1415 + }, + { + "epoch": 0.27, + "learning_rate": 1.7071067811865477e-05, + "loss": 1.0511, + "step": 1416 + }, + { + "epoch": 0.27, + "learning_rate": 1.7066658816482856e-05, + "loss": 0.9886, + "step": 1417 + }, + { + "epoch": 0.27, + "learning_rate": 1.7062247075402137e-05, + "loss": 0.9789, + "step": 1418 + }, + { + "epoch": 0.27, + "learning_rate": 1.705783259033748e-05, + "loss": 0.9728, + "step": 1419 + }, + { + "epoch": 0.27, + "learning_rate": 1.705341536300409e-05, + "loss": 1.0706, + "step": 1420 + }, + { + "epoch": 0.27, + "learning_rate": 1.7048995395118253e-05, + "loss": 1.0361, + "step": 1421 + }, + { + "epoch": 0.27, + "learning_rate": 1.7044572688397316e-05, + "loss": 1.0269, + "step": 1422 + }, + { + "epoch": 0.27, + "learning_rate": 1.7040147244559688e-05, + "loss": 1.1499, + "step": 1423 + }, + { + "epoch": 0.27, + "learning_rate": 1.7035719065324837e-05, + "loss": 1.0525, + "step": 1424 + }, + { + "epoch": 0.27, + "learning_rate": 1.7031288152413304e-05, + "loss": 0.9978, + "step": 1425 + }, + { + "epoch": 0.27, + "learning_rate": 1.7026854507546694e-05, + "loss": 1.015, + "step": 1426 + }, + { + "epoch": 0.27, + "learning_rate": 1.7022418132447656e-05, + "loss": 0.9762, + "step": 1427 + }, + { + "epoch": 0.27, + "learning_rate": 1.7017979028839918e-05, + "loss": 0.9936, + "step": 1428 + }, + { + "epoch": 0.28, + "learning_rate": 1.7013537198448253e-05, + "loss": 0.9737, + "step": 1429 + }, + { + "epoch": 0.28, + "learning_rate": 1.700909264299851e-05, + "loss": 0.9561, + "step": 1430 + }, + { + "epoch": 0.28, + "learning_rate": 1.7004645364217584e-05, + "loss": 1.0525, + "step": 1431 + }, + { + "epoch": 0.28, + "learning_rate": 1.7000195363833434e-05, + "loss": 0.9807, + "step": 1432 + }, + { + "epoch": 0.28, + "learning_rate": 1.6995742643575076e-05, + "loss": 0.9873, + "step": 1433 + }, + { + "epoch": 0.28, + "learning_rate": 1.6991287205172575e-05, + "loss": 1.1182, + "step": 1434 + }, + { + "epoch": 0.28, + "learning_rate": 1.6986829050357068e-05, + "loss": 1.0083, + "step": 1435 + }, + { + "epoch": 0.28, + "learning_rate": 1.698236818086073e-05, + "loss": 1.0573, + "step": 1436 + }, + { + "epoch": 0.28, + "learning_rate": 1.6977904598416803e-05, + "loss": 0.9627, + "step": 1437 + }, + { + "epoch": 0.28, + "learning_rate": 1.697343830475958e-05, + "loss": 1.0232, + "step": 1438 + }, + { + "epoch": 0.28, + "learning_rate": 1.6968969301624402e-05, + "loss": 0.963, + "step": 1439 + }, + { + "epoch": 0.28, + "learning_rate": 1.696449759074767e-05, + "loss": 1.0068, + "step": 1440 + }, + { + "epoch": 0.28, + "learning_rate": 1.6960023173866834e-05, + "loss": 0.9432, + "step": 1441 + }, + { + "epoch": 0.28, + "learning_rate": 1.6955546052720398e-05, + "loss": 1.0784, + "step": 1442 + }, + { + "epoch": 0.28, + "learning_rate": 1.695106622904791e-05, + "loss": 1.0036, + "step": 1443 + }, + { + "epoch": 0.28, + "learning_rate": 1.6946583704589973e-05, + "loss": 1.0444, + "step": 1444 + }, + { + "epoch": 0.28, + "learning_rate": 1.6942098481088245e-05, + "loss": 0.9664, + "step": 1445 + }, + { + "epoch": 0.28, + "learning_rate": 1.693761056028542e-05, + "loss": 0.9602, + "step": 1446 + }, + { + "epoch": 0.28, + "learning_rate": 1.6933119943925243e-05, + "loss": 0.9415, + "step": 1447 + }, + { + "epoch": 0.28, + "learning_rate": 1.692862663375252e-05, + "loss": 1.0005, + "step": 1448 + }, + { + "epoch": 0.28, + "learning_rate": 1.692413063151309e-05, + "loss": 0.9634, + "step": 1449 + }, + { + "epoch": 0.28, + "learning_rate": 1.6919631938953835e-05, + "loss": 0.9074, + "step": 1450 + }, + { + "epoch": 0.28, + "learning_rate": 1.6915130557822698e-05, + "loss": 0.994, + "step": 1451 + }, + { + "epoch": 0.28, + "learning_rate": 1.691062648986865e-05, + "loss": 0.8971, + "step": 1452 + }, + { + "epoch": 0.28, + "learning_rate": 1.690611973684172e-05, + "loss": 0.9235, + "step": 1453 + }, + { + "epoch": 0.28, + "learning_rate": 1.6901610300492963e-05, + "loss": 1.057, + "step": 1454 + }, + { + "epoch": 0.28, + "learning_rate": 1.6897098182574502e-05, + "loss": 0.9458, + "step": 1455 + }, + { + "epoch": 0.28, + "learning_rate": 1.689258338483947e-05, + "loss": 0.9997, + "step": 1456 + }, + { + "epoch": 0.28, + "learning_rate": 1.6888065909042074e-05, + "loss": 1.0355, + "step": 1457 + }, + { + "epoch": 0.28, + "learning_rate": 1.688354575693754e-05, + "loss": 0.9901, + "step": 1458 + }, + { + "epoch": 0.28, + "learning_rate": 1.687902293028214e-05, + "loss": 1.0393, + "step": 1459 + }, + { + "epoch": 0.28, + "learning_rate": 1.6874497430833182e-05, + "loss": 0.9933, + "step": 1460 + }, + { + "epoch": 0.28, + "learning_rate": 1.686996926034902e-05, + "loss": 1.0207, + "step": 1461 + }, + { + "epoch": 0.28, + "learning_rate": 1.6865438420589036e-05, + "loss": 0.9912, + "step": 1462 + }, + { + "epoch": 0.28, + "learning_rate": 1.6860904913313656e-05, + "loss": 1.1197, + "step": 1463 + }, + { + "epoch": 0.28, + "learning_rate": 1.6856368740284342e-05, + "loss": 0.8943, + "step": 1464 + }, + { + "epoch": 0.28, + "learning_rate": 1.685182990326359e-05, + "loss": 0.9688, + "step": 1465 + }, + { + "epoch": 0.28, + "learning_rate": 1.6847288404014937e-05, + "loss": 1.0244, + "step": 1466 + }, + { + "epoch": 0.28, + "learning_rate": 1.684274424430294e-05, + "loss": 0.9604, + "step": 1467 + }, + { + "epoch": 0.28, + "learning_rate": 1.68381974258932e-05, + "loss": 0.934, + "step": 1468 + }, + { + "epoch": 0.28, + "learning_rate": 1.6833647950552357e-05, + "loss": 1.039, + "step": 1469 + }, + { + "epoch": 0.28, + "learning_rate": 1.682909582004807e-05, + "loss": 1.027, + "step": 1470 + }, + { + "epoch": 0.28, + "learning_rate": 1.682454103614904e-05, + "loss": 0.9699, + "step": 1471 + }, + { + "epoch": 0.28, + "learning_rate": 1.6819983600624986e-05, + "loss": 0.9364, + "step": 1472 + }, + { + "epoch": 0.28, + "learning_rate": 1.6815423515246674e-05, + "loss": 1.0408, + "step": 1473 + }, + { + "epoch": 0.28, + "learning_rate": 1.681086078178589e-05, + "loss": 1.0073, + "step": 1474 + }, + { + "epoch": 0.28, + "learning_rate": 1.680629540201545e-05, + "loss": 1.0016, + "step": 1475 + }, + { + "epoch": 0.28, + "learning_rate": 1.6801727377709195e-05, + "loss": 0.8874, + "step": 1476 + }, + { + "epoch": 0.28, + "learning_rate": 1.6797156710642003e-05, + "loss": 0.9393, + "step": 1477 + }, + { + "epoch": 0.28, + "learning_rate": 1.679258340258977e-05, + "loss": 0.9392, + "step": 1478 + }, + { + "epoch": 0.28, + "learning_rate": 1.678800745532942e-05, + "loss": 1.0463, + "step": 1479 + }, + { + "epoch": 0.28, + "learning_rate": 1.6783428870638904e-05, + "loss": 1.03, + "step": 1480 + }, + { + "epoch": 0.29, + "learning_rate": 1.67788476502972e-05, + "loss": 0.9849, + "step": 1481 + }, + { + "epoch": 0.29, + "learning_rate": 1.6774263796084304e-05, + "loss": 1.0972, + "step": 1482 + }, + { + "epoch": 0.29, + "learning_rate": 1.676967730978124e-05, + "loss": 1.0011, + "step": 1483 + }, + { + "epoch": 0.29, + "learning_rate": 1.6765088193170055e-05, + "loss": 1.118, + "step": 1484 + }, + { + "epoch": 0.29, + "learning_rate": 1.676049644803381e-05, + "loss": 0.9277, + "step": 1485 + }, + { + "epoch": 0.29, + "learning_rate": 1.6755902076156606e-05, + "loss": 0.9684, + "step": 1486 + }, + { + "epoch": 0.29, + "learning_rate": 1.6751305079323538e-05, + "loss": 1.0182, + "step": 1487 + }, + { + "epoch": 0.29, + "learning_rate": 1.6746705459320746e-05, + "loss": 0.9227, + "step": 1488 + }, + { + "epoch": 0.29, + "learning_rate": 1.6742103217935372e-05, + "loss": 1.0188, + "step": 1489 + }, + { + "epoch": 0.29, + "learning_rate": 1.6737498356955586e-05, + "loss": 1.0923, + "step": 1490 + }, + { + "epoch": 0.29, + "learning_rate": 1.6732890878170573e-05, + "loss": 1.0863, + "step": 1491 + }, + { + "epoch": 0.29, + "learning_rate": 1.672828078337053e-05, + "loss": 1.0205, + "step": 1492 + }, + { + "epoch": 0.29, + "learning_rate": 1.672366807434668e-05, + "loss": 1.0562, + "step": 1493 + }, + { + "epoch": 0.29, + "learning_rate": 1.6719052752891262e-05, + "loss": 0.9123, + "step": 1494 + }, + { + "epoch": 0.29, + "learning_rate": 1.6714434820797515e-05, + "loss": 0.9695, + "step": 1495 + }, + { + "epoch": 0.29, + "learning_rate": 1.67098142798597e-05, + "loss": 1.037, + "step": 1496 + }, + { + "epoch": 0.29, + "learning_rate": 1.670519113187311e-05, + "loss": 0.9966, + "step": 1497 + }, + { + "epoch": 0.29, + "learning_rate": 1.6700565378634022e-05, + "loss": 1.0623, + "step": 1498 + }, + { + "epoch": 0.29, + "learning_rate": 1.669593702193974e-05, + "loss": 0.9881, + "step": 1499 + }, + { + "epoch": 0.29, + "learning_rate": 1.6691306063588583e-05, + "loss": 0.9443, + "step": 1500 + }, + { + "epoch": 0.29, + "learning_rate": 1.668667250537987e-05, + "loss": 1.0401, + "step": 1501 + }, + { + "epoch": 0.29, + "learning_rate": 1.668203634911394e-05, + "loss": 0.9928, + "step": 1502 + }, + { + "epoch": 0.29, + "learning_rate": 1.6677397596592134e-05, + "loss": 1.0076, + "step": 1503 + }, + { + "epoch": 0.29, + "learning_rate": 1.667275624961681e-05, + "loss": 0.9332, + "step": 1504 + }, + { + "epoch": 0.29, + "learning_rate": 1.666811230999132e-05, + "loss": 1.0204, + "step": 1505 + }, + { + "epoch": 0.29, + "learning_rate": 1.6663465779520042e-05, + "loss": 0.9741, + "step": 1506 + }, + { + "epoch": 0.29, + "learning_rate": 1.6658816660008344e-05, + "loss": 0.9505, + "step": 1507 + }, + { + "epoch": 0.29, + "learning_rate": 1.6654164953262614e-05, + "loss": 1.0733, + "step": 1508 + }, + { + "epoch": 0.29, + "learning_rate": 1.6649510661090233e-05, + "loss": 0.9906, + "step": 1509 + }, + { + "epoch": 0.29, + "learning_rate": 1.6644853785299592e-05, + "loss": 1.0355, + "step": 1510 + }, + { + "epoch": 0.29, + "learning_rate": 1.6640194327700087e-05, + "loss": 1.0534, + "step": 1511 + }, + { + "epoch": 0.29, + "learning_rate": 1.6635532290102114e-05, + "loss": 1.0573, + "step": 1512 + }, + { + "epoch": 0.29, + "learning_rate": 1.6630867674317078e-05, + "loss": 1.0349, + "step": 1513 + }, + { + "epoch": 0.29, + "learning_rate": 1.6626200482157378e-05, + "loss": 0.9924, + "step": 1514 + }, + { + "epoch": 0.29, + "learning_rate": 1.6621530715436413e-05, + "loss": 0.9713, + "step": 1515 + }, + { + "epoch": 0.29, + "learning_rate": 1.6616858375968596e-05, + "loss": 0.8931, + "step": 1516 + }, + { + "epoch": 0.29, + "learning_rate": 1.6612183465569322e-05, + "loss": 0.9721, + "step": 1517 + }, + { + "epoch": 0.29, + "learning_rate": 1.6607505986054998e-05, + "loss": 1.0176, + "step": 1518 + }, + { + "epoch": 0.29, + "learning_rate": 1.660282593924302e-05, + "loss": 0.9881, + "step": 1519 + }, + { + "epoch": 0.29, + "learning_rate": 1.6598143326951784e-05, + "loss": 0.9764, + "step": 1520 + }, + { + "epoch": 0.29, + "learning_rate": 1.659345815100069e-05, + "loss": 1.0316, + "step": 1521 + }, + { + "epoch": 0.29, + "learning_rate": 1.6588770413210126e-05, + "loss": 1.0582, + "step": 1522 + }, + { + "epoch": 0.29, + "learning_rate": 1.6584080115401478e-05, + "loss": 0.971, + "step": 1523 + }, + { + "epoch": 0.29, + "learning_rate": 1.657938725939713e-05, + "loss": 1.002, + "step": 1524 + }, + { + "epoch": 0.29, + "learning_rate": 1.6574691847020446e-05, + "loss": 0.9606, + "step": 1525 + }, + { + "epoch": 0.29, + "learning_rate": 1.6569993880095807e-05, + "loss": 0.944, + "step": 1526 + }, + { + "epoch": 0.29, + "learning_rate": 1.6565293360448565e-05, + "loss": 0.94, + "step": 1527 + }, + { + "epoch": 0.29, + "learning_rate": 1.6560590289905074e-05, + "loss": 1.0121, + "step": 1528 + }, + { + "epoch": 0.29, + "learning_rate": 1.655588467029268e-05, + "loss": 0.9356, + "step": 1529 + }, + { + "epoch": 0.29, + "learning_rate": 1.6551176503439713e-05, + "loss": 0.928, + "step": 1530 + }, + { + "epoch": 0.29, + "learning_rate": 1.6546465791175498e-05, + "loss": 0.9956, + "step": 1531 + }, + { + "epoch": 0.29, + "learning_rate": 1.6541752535330345e-05, + "loss": 0.9686, + "step": 1532 + }, + { + "epoch": 0.3, + "learning_rate": 1.6537036737735563e-05, + "loss": 1.0175, + "step": 1533 + }, + { + "epoch": 0.3, + "learning_rate": 1.6532318400223427e-05, + "loss": 1.0486, + "step": 1534 + }, + { + "epoch": 0.3, + "learning_rate": 1.6527597524627226e-05, + "loss": 1.0578, + "step": 1535 + }, + { + "epoch": 0.3, + "learning_rate": 1.6522874112781213e-05, + "loss": 1.0732, + "step": 1536 + }, + { + "epoch": 0.3, + "learning_rate": 1.6518148166520638e-05, + "loss": 1.0234, + "step": 1537 + }, + { + "epoch": 0.3, + "learning_rate": 1.651341968768173e-05, + "loss": 1.0195, + "step": 1538 + }, + { + "epoch": 0.3, + "learning_rate": 1.6508688678101706e-05, + "loss": 1.0149, + "step": 1539 + }, + { + "epoch": 0.3, + "learning_rate": 1.6503955139618765e-05, + "loss": 0.9831, + "step": 1540 + }, + { + "epoch": 0.3, + "learning_rate": 1.6499219074072087e-05, + "loss": 1.1067, + "step": 1541 + }, + { + "epoch": 0.3, + "learning_rate": 1.6494480483301836e-05, + "loss": 1.0511, + "step": 1542 + }, + { + "epoch": 0.3, + "learning_rate": 1.648973936914916e-05, + "loss": 0.9719, + "step": 1543 + }, + { + "epoch": 0.3, + "learning_rate": 1.6484995733456178e-05, + "loss": 1.0455, + "step": 1544 + }, + { + "epoch": 0.3, + "learning_rate": 1.6480249578066e-05, + "loss": 0.9885, + "step": 1545 + }, + { + "epoch": 0.3, + "learning_rate": 1.6475500904822707e-05, + "loss": 0.8943, + "step": 1546 + }, + { + "epoch": 0.3, + "learning_rate": 1.647074971557136e-05, + "loss": 1.0213, + "step": 1547 + }, + { + "epoch": 0.3, + "learning_rate": 1.6465996012157996e-05, + "loss": 1.0796, + "step": 1548 + }, + { + "epoch": 0.3, + "learning_rate": 1.646123979642964e-05, + "loss": 0.9859, + "step": 1549 + }, + { + "epoch": 0.3, + "learning_rate": 1.6456481070234277e-05, + "loss": 0.9604, + "step": 1550 + }, + { + "epoch": 0.3, + "learning_rate": 1.645171983542088e-05, + "loss": 0.949, + "step": 1551 + }, + { + "epoch": 0.3, + "learning_rate": 1.6446956093839385e-05, + "loss": 0.9894, + "step": 1552 + }, + { + "epoch": 0.3, + "learning_rate": 1.644218984734071e-05, + "loss": 0.912, + "step": 1553 + }, + { + "epoch": 0.3, + "learning_rate": 1.6437421097776754e-05, + "loss": 0.9864, + "step": 1554 + }, + { + "epoch": 0.3, + "learning_rate": 1.643264984700037e-05, + "loss": 0.933, + "step": 1555 + }, + { + "epoch": 0.3, + "learning_rate": 1.6427876096865394e-05, + "loss": 1.0077, + "step": 1556 + }, + { + "epoch": 0.3, + "learning_rate": 1.6423099849226633e-05, + "loss": 1.016, + "step": 1557 + }, + { + "epoch": 0.3, + "learning_rate": 1.6418321105939863e-05, + "loss": 1.0761, + "step": 1558 + }, + { + "epoch": 0.3, + "learning_rate": 1.6413539868861828e-05, + "loss": 1.0041, + "step": 1559 + }, + { + "epoch": 0.3, + "learning_rate": 1.6408756139850243e-05, + "loss": 1.0592, + "step": 1560 + }, + { + "epoch": 0.3, + "learning_rate": 1.640396992076379e-05, + "loss": 1.0246, + "step": 1561 + }, + { + "epoch": 0.3, + "learning_rate": 1.639918121346212e-05, + "loss": 1.0071, + "step": 1562 + }, + { + "epoch": 0.3, + "learning_rate": 1.639439001980585e-05, + "loss": 1.0038, + "step": 1563 + }, + { + "epoch": 0.3, + "learning_rate": 1.638959634165656e-05, + "loss": 0.9659, + "step": 1564 + }, + { + "epoch": 0.3, + "learning_rate": 1.6384800180876804e-05, + "loss": 0.9581, + "step": 1565 + }, + { + "epoch": 0.3, + "learning_rate": 1.6380001539330088e-05, + "loss": 0.9552, + "step": 1566 + }, + { + "epoch": 0.3, + "learning_rate": 1.6375200418880895e-05, + "loss": 1.0819, + "step": 1567 + }, + { + "epoch": 0.3, + "learning_rate": 1.637039682139466e-05, + "loss": 1.0101, + "step": 1568 + }, + { + "epoch": 0.3, + "learning_rate": 1.6365590748737786e-05, + "loss": 0.8905, + "step": 1569 + }, + { + "epoch": 0.3, + "learning_rate": 1.636078220277764e-05, + "loss": 1.054, + "step": 1570 + }, + { + "epoch": 0.3, + "learning_rate": 1.6355971185382547e-05, + "loss": 0.9947, + "step": 1571 + }, + { + "epoch": 0.3, + "learning_rate": 1.635115769842179e-05, + "loss": 0.9991, + "step": 1572 + }, + { + "epoch": 0.3, + "learning_rate": 1.6346341743765616e-05, + "loss": 1.0483, + "step": 1573 + }, + { + "epoch": 0.3, + "learning_rate": 1.634152332328522e-05, + "loss": 1.0172, + "step": 1574 + }, + { + "epoch": 0.3, + "learning_rate": 1.633670243885278e-05, + "loss": 0.9525, + "step": 1575 + }, + { + "epoch": 0.3, + "learning_rate": 1.6331879092341402e-05, + "loss": 1.0983, + "step": 1576 + }, + { + "epoch": 0.3, + "learning_rate": 1.6327053285625164e-05, + "loss": 1.089, + "step": 1577 + }, + { + "epoch": 0.3, + "learning_rate": 1.63222250205791e-05, + "loss": 1.0302, + "step": 1578 + }, + { + "epoch": 0.3, + "learning_rate": 1.6317394299079193e-05, + "loss": 1.0353, + "step": 1579 + }, + { + "epoch": 0.3, + "learning_rate": 1.631256112300239e-05, + "loss": 0.9016, + "step": 1580 + }, + { + "epoch": 0.3, + "learning_rate": 1.6307725494226586e-05, + "loss": 0.9928, + "step": 1581 + }, + { + "epoch": 0.3, + "learning_rate": 1.630288741463062e-05, + "loss": 1.0685, + "step": 1582 + }, + { + "epoch": 0.3, + "learning_rate": 1.62980468860943e-05, + "loss": 1.0281, + "step": 1583 + }, + { + "epoch": 0.3, + "learning_rate": 1.6293203910498375e-05, + "loss": 1.0314, + "step": 1584 + }, + { + "epoch": 0.31, + "learning_rate": 1.628835848972455e-05, + "loss": 1.0377, + "step": 1585 + }, + { + "epoch": 0.31, + "learning_rate": 1.6283510625655474e-05, + "loss": 1.0071, + "step": 1586 + }, + { + "epoch": 0.31, + "learning_rate": 1.627866032017475e-05, + "loss": 0.9874, + "step": 1587 + }, + { + "epoch": 0.31, + "learning_rate": 1.6273807575166927e-05, + "loss": 0.9917, + "step": 1588 + }, + { + "epoch": 0.31, + "learning_rate": 1.6268952392517505e-05, + "loss": 1.0104, + "step": 1589 + }, + { + "epoch": 0.31, + "learning_rate": 1.626409477411293e-05, + "loss": 0.9279, + "step": 1590 + }, + { + "epoch": 0.31, + "learning_rate": 1.6259234721840595e-05, + "loss": 0.9886, + "step": 1591 + }, + { + "epoch": 0.31, + "learning_rate": 1.625437223758883e-05, + "loss": 0.9036, + "step": 1592 + }, + { + "epoch": 0.31, + "learning_rate": 1.6249507323246926e-05, + "loss": 0.9754, + "step": 1593 + }, + { + "epoch": 0.31, + "learning_rate": 1.6244639980705104e-05, + "loss": 0.9245, + "step": 1594 + }, + { + "epoch": 0.31, + "learning_rate": 1.623977021185454e-05, + "loss": 1.0271, + "step": 1595 + }, + { + "epoch": 0.31, + "learning_rate": 1.6234898018587336e-05, + "loss": 1.0049, + "step": 1596 + }, + { + "epoch": 0.31, + "learning_rate": 1.623002340279656e-05, + "loss": 0.9728, + "step": 1597 + }, + { + "epoch": 0.31, + "learning_rate": 1.6225146366376198e-05, + "loss": 0.9715, + "step": 1598 + }, + { + "epoch": 0.31, + "learning_rate": 1.622026691122119e-05, + "loss": 1.0397, + "step": 1599 + }, + { + "epoch": 0.31, + "learning_rate": 1.621538503922741e-05, + "loss": 0.9479, + "step": 1600 + }, + { + "epoch": 0.31, + "learning_rate": 1.6210500752291682e-05, + "loss": 1.0335, + "step": 1601 + }, + { + "epoch": 0.31, + "learning_rate": 1.620561405231175e-05, + "loss": 1.0225, + "step": 1602 + }, + { + "epoch": 0.31, + "learning_rate": 1.6200724941186305e-05, + "loss": 1.021, + "step": 1603 + }, + { + "epoch": 0.31, + "learning_rate": 1.6195833420814983e-05, + "loss": 0.9981, + "step": 1604 + }, + { + "epoch": 0.31, + "learning_rate": 1.6190939493098344e-05, + "loss": 1.0056, + "step": 1605 + }, + { + "epoch": 0.31, + "learning_rate": 1.6186043159937884e-05, + "loss": 0.9169, + "step": 1606 + }, + { + "epoch": 0.31, + "learning_rate": 1.6181144423236038e-05, + "loss": 0.9143, + "step": 1607 + }, + { + "epoch": 0.31, + "learning_rate": 1.617624328489618e-05, + "loss": 1.0271, + "step": 1608 + }, + { + "epoch": 0.31, + "learning_rate": 1.6171339746822606e-05, + "loss": 1.0331, + "step": 1609 + }, + { + "epoch": 0.31, + "learning_rate": 1.616643381092055e-05, + "loss": 0.9472, + "step": 1610 + }, + { + "epoch": 0.31, + "learning_rate": 1.616152547909618e-05, + "loss": 1.0091, + "step": 1611 + }, + { + "epoch": 0.31, + "learning_rate": 1.6156614753256583e-05, + "loss": 1.0837, + "step": 1612 + }, + { + "epoch": 0.31, + "learning_rate": 1.6151701635309797e-05, + "loss": 1.0294, + "step": 1613 + }, + { + "epoch": 0.31, + "learning_rate": 1.6146786127164773e-05, + "loss": 1.1188, + "step": 1614 + }, + { + "epoch": 0.31, + "learning_rate": 1.6141868230731393e-05, + "loss": 0.9284, + "step": 1615 + }, + { + "epoch": 0.31, + "learning_rate": 1.6136947947920477e-05, + "loss": 0.9599, + "step": 1616 + }, + { + "epoch": 0.31, + "learning_rate": 1.6132025280643753e-05, + "loss": 1.0146, + "step": 1617 + }, + { + "epoch": 0.31, + "learning_rate": 1.6127100230813897e-05, + "loss": 0.9419, + "step": 1618 + }, + { + "epoch": 0.31, + "learning_rate": 1.6122172800344494e-05, + "loss": 0.9955, + "step": 1619 + }, + { + "epoch": 0.31, + "learning_rate": 1.6117242991150064e-05, + "loss": 1.0418, + "step": 1620 + }, + { + "epoch": 0.31, + "learning_rate": 1.611231080514605e-05, + "loss": 1.0032, + "step": 1621 + }, + { + "epoch": 0.31, + "learning_rate": 1.610737624424881e-05, + "loss": 0.9799, + "step": 1622 + }, + { + "epoch": 0.31, + "learning_rate": 1.6102439310375637e-05, + "loss": 0.9743, + "step": 1623 + }, + { + "epoch": 0.31, + "learning_rate": 1.609750000544474e-05, + "loss": 0.9226, + "step": 1624 + }, + { + "epoch": 0.31, + "learning_rate": 1.6092558331375245e-05, + "loss": 0.933, + "step": 1625 + }, + { + "epoch": 0.31, + "learning_rate": 1.608761429008721e-05, + "loss": 0.9995, + "step": 1626 + }, + { + "epoch": 0.31, + "learning_rate": 1.6082667883501596e-05, + "loss": 0.946, + "step": 1627 + }, + { + "epoch": 0.31, + "learning_rate": 1.6077719113540303e-05, + "loss": 1.0042, + "step": 1628 + }, + { + "epoch": 0.31, + "learning_rate": 1.607276798212613e-05, + "loss": 0.8939, + "step": 1629 + }, + { + "epoch": 0.31, + "learning_rate": 1.6067814491182806e-05, + "loss": 1.0465, + "step": 1630 + }, + { + "epoch": 0.31, + "learning_rate": 1.606285864263498e-05, + "loss": 0.9793, + "step": 1631 + }, + { + "epoch": 0.31, + "learning_rate": 1.60579004384082e-05, + "loss": 1.0308, + "step": 1632 + }, + { + "epoch": 0.31, + "learning_rate": 1.6052939880428942e-05, + "loss": 0.9591, + "step": 1633 + }, + { + "epoch": 0.31, + "learning_rate": 1.6047976970624603e-05, + "loss": 0.9513, + "step": 1634 + }, + { + "epoch": 0.31, + "learning_rate": 1.6043011710923476e-05, + "loss": 0.9945, + "step": 1635 + }, + { + "epoch": 0.31, + "learning_rate": 1.6038044103254775e-05, + "loss": 0.9444, + "step": 1636 + }, + { + "epoch": 0.32, + "learning_rate": 1.603307414954863e-05, + "loss": 1.046, + "step": 1637 + }, + { + "epoch": 0.32, + "learning_rate": 1.6028101851736083e-05, + "loss": 0.9696, + "step": 1638 + }, + { + "epoch": 0.32, + "learning_rate": 1.6023127211749082e-05, + "loss": 1.046, + "step": 1639 + }, + { + "epoch": 0.32, + "learning_rate": 1.6018150231520486e-05, + "loss": 0.9975, + "step": 1640 + }, + { + "epoch": 0.32, + "learning_rate": 1.601317091298406e-05, + "loss": 0.9563, + "step": 1641 + }, + { + "epoch": 0.32, + "learning_rate": 1.6008189258074483e-05, + "loss": 0.9508, + "step": 1642 + }, + { + "epoch": 0.32, + "learning_rate": 1.600320526872735e-05, + "loss": 0.9186, + "step": 1643 + }, + { + "epoch": 0.32, + "learning_rate": 1.599821894687914e-05, + "loss": 1.0287, + "step": 1644 + }, + { + "epoch": 0.32, + "learning_rate": 1.5993230294467257e-05, + "loss": 0.9892, + "step": 1645 + }, + { + "epoch": 0.32, + "learning_rate": 1.5988239313430004e-05, + "loss": 1.0118, + "step": 1646 + }, + { + "epoch": 0.32, + "learning_rate": 1.5983246005706592e-05, + "loss": 1.088, + "step": 1647 + }, + { + "epoch": 0.32, + "learning_rate": 1.5978250373237132e-05, + "loss": 0.966, + "step": 1648 + }, + { + "epoch": 0.32, + "learning_rate": 1.597325241796264e-05, + "loss": 1.0122, + "step": 1649 + }, + { + "epoch": 0.32, + "learning_rate": 1.5968252141825038e-05, + "loss": 1.0349, + "step": 1650 + }, + { + "epoch": 0.32, + "learning_rate": 1.5963249546767144e-05, + "loss": 1.0481, + "step": 1651 + }, + { + "epoch": 0.32, + "learning_rate": 1.5958244634732673e-05, + "loss": 0.9353, + "step": 1652 + }, + { + "epoch": 0.32, + "learning_rate": 1.595323740766626e-05, + "loss": 1.0164, + "step": 1653 + }, + { + "epoch": 0.32, + "learning_rate": 1.5948227867513416e-05, + "loss": 0.9772, + "step": 1654 + }, + { + "epoch": 0.32, + "learning_rate": 1.5943216016220563e-05, + "loss": 0.9249, + "step": 1655 + }, + { + "epoch": 0.32, + "learning_rate": 1.5938201855735017e-05, + "loss": 0.9607, + "step": 1656 + }, + { + "epoch": 0.32, + "learning_rate": 1.5933185388004998e-05, + "loss": 0.9563, + "step": 1657 + }, + { + "epoch": 0.32, + "learning_rate": 1.5928166614979613e-05, + "loss": 1.0583, + "step": 1658 + }, + { + "epoch": 0.32, + "learning_rate": 1.5923145538608874e-05, + "loss": 0.9783, + "step": 1659 + }, + { + "epoch": 0.32, + "learning_rate": 1.591812216084368e-05, + "loss": 0.948, + "step": 1660 + }, + { + "epoch": 0.32, + "learning_rate": 1.5913096483635827e-05, + "loss": 0.9375, + "step": 1661 + }, + { + "epoch": 0.32, + "learning_rate": 1.5908068508938e-05, + "loss": 1.0674, + "step": 1662 + }, + { + "epoch": 0.32, + "learning_rate": 1.5903038238703795e-05, + "loss": 1.0708, + "step": 1663 + }, + { + "epoch": 0.32, + "learning_rate": 1.5898005674887673e-05, + "loss": 0.9574, + "step": 1664 + }, + { + "epoch": 0.32, + "learning_rate": 1.589297081944501e-05, + "loss": 0.9279, + "step": 1665 + }, + { + "epoch": 0.32, + "learning_rate": 1.5887933674332048e-05, + "loss": 1.0086, + "step": 1666 + }, + { + "epoch": 0.32, + "learning_rate": 1.5882894241505946e-05, + "loss": 1.0118, + "step": 1667 + }, + { + "epoch": 0.32, + "learning_rate": 1.5877852522924733e-05, + "loss": 1.0268, + "step": 1668 + }, + { + "epoch": 0.32, + "learning_rate": 1.5872808520547334e-05, + "loss": 0.9437, + "step": 1669 + }, + { + "epoch": 0.32, + "learning_rate": 1.5867762236333553e-05, + "loss": 0.9836, + "step": 1670 + }, + { + "epoch": 0.32, + "learning_rate": 1.5862713672244092e-05, + "loss": 0.9437, + "step": 1671 + }, + { + "epoch": 0.32, + "learning_rate": 1.585766283024053e-05, + "loss": 0.8404, + "step": 1672 + }, + { + "epoch": 0.32, + "learning_rate": 1.585260971228534e-05, + "loss": 1.0355, + "step": 1673 + }, + { + "epoch": 0.32, + "learning_rate": 1.5847554320341865e-05, + "loss": 1.0274, + "step": 1674 + }, + { + "epoch": 0.32, + "learning_rate": 1.5842496656374347e-05, + "loss": 1.0541, + "step": 1675 + }, + { + "epoch": 0.32, + "learning_rate": 1.5837436722347902e-05, + "loss": 0.8997, + "step": 1676 + }, + { + "epoch": 0.32, + "learning_rate": 1.5832374520228527e-05, + "loss": 1.0021, + "step": 1677 + }, + { + "epoch": 0.32, + "learning_rate": 1.582731005198311e-05, + "loss": 1.0228, + "step": 1678 + }, + { + "epoch": 0.32, + "learning_rate": 1.5822243319579405e-05, + "loss": 0.95, + "step": 1679 + }, + { + "epoch": 0.32, + "learning_rate": 1.581717432498606e-05, + "loss": 1.0008, + "step": 1680 + }, + { + "epoch": 0.32, + "learning_rate": 1.5812103070172592e-05, + "loss": 1.0032, + "step": 1681 + }, + { + "epoch": 0.32, + "learning_rate": 1.5807029557109398e-05, + "loss": 0.9459, + "step": 1682 + }, + { + "epoch": 0.32, + "learning_rate": 1.580195378776776e-05, + "loss": 0.9223, + "step": 1683 + }, + { + "epoch": 0.32, + "learning_rate": 1.5796875764119826e-05, + "loss": 0.9093, + "step": 1684 + }, + { + "epoch": 0.32, + "learning_rate": 1.5791795488138623e-05, + "loss": 0.9366, + "step": 1685 + }, + { + "epoch": 0.32, + "learning_rate": 1.578671296179806e-05, + "loss": 1.012, + "step": 1686 + }, + { + "epoch": 0.32, + "learning_rate": 1.578162818707291e-05, + "loss": 1.0, + "step": 1687 + }, + { + "epoch": 0.32, + "learning_rate": 1.577654116593883e-05, + "loss": 0.9648, + "step": 1688 + }, + { + "epoch": 0.33, + "learning_rate": 1.577145190037234e-05, + "loss": 0.9644, + "step": 1689 + }, + { + "epoch": 0.33, + "learning_rate": 1.5766360392350837e-05, + "loss": 0.9984, + "step": 1690 + }, + { + "epoch": 0.33, + "learning_rate": 1.5761266643852587e-05, + "loss": 1.1088, + "step": 1691 + }, + { + "epoch": 0.33, + "learning_rate": 1.575617065685674e-05, + "loss": 1.0098, + "step": 1692 + }, + { + "epoch": 0.33, + "learning_rate": 1.5751072433343285e-05, + "loss": 0.8995, + "step": 1693 + }, + { + "epoch": 0.33, + "learning_rate": 1.5745971975293114e-05, + "loss": 1.0113, + "step": 1694 + }, + { + "epoch": 0.33, + "learning_rate": 1.574086928468797e-05, + "loss": 0.9852, + "step": 1695 + }, + { + "epoch": 0.33, + "learning_rate": 1.573576436351046e-05, + "loss": 0.9622, + "step": 1696 + }, + { + "epoch": 0.33, + "learning_rate": 1.5730657213744072e-05, + "loss": 0.8862, + "step": 1697 + }, + { + "epoch": 0.33, + "learning_rate": 1.5725547837373142e-05, + "loss": 0.984, + "step": 1698 + }, + { + "epoch": 0.33, + "learning_rate": 1.5720436236382885e-05, + "loss": 1.0192, + "step": 1699 + }, + { + "epoch": 0.33, + "learning_rate": 1.5715322412759374e-05, + "loss": 0.992, + "step": 1700 + }, + { + "epoch": 0.33, + "learning_rate": 1.5710206368489555e-05, + "loss": 0.967, + "step": 1701 + }, + { + "epoch": 0.33, + "learning_rate": 1.5705088105561217e-05, + "loss": 1.0551, + "step": 1702 + }, + { + "epoch": 0.33, + "learning_rate": 1.5699967625963032e-05, + "loss": 0.9266, + "step": 1703 + }, + { + "epoch": 0.33, + "learning_rate": 1.569484493168452e-05, + "loss": 1.0359, + "step": 1704 + }, + { + "epoch": 0.33, + "learning_rate": 1.568972002471607e-05, + "loss": 1.073, + "step": 1705 + }, + { + "epoch": 0.33, + "learning_rate": 1.5684592907048925e-05, + "loss": 1.0026, + "step": 1706 + }, + { + "epoch": 0.33, + "learning_rate": 1.5679463580675187e-05, + "loss": 0.9957, + "step": 1707 + }, + { + "epoch": 0.33, + "learning_rate": 1.567433204758782e-05, + "loss": 0.9937, + "step": 1708 + }, + { + "epoch": 0.33, + "learning_rate": 1.5669198309780644e-05, + "loss": 1.0162, + "step": 1709 + }, + { + "epoch": 0.33, + "learning_rate": 1.566406236924833e-05, + "loss": 0.9682, + "step": 1710 + }, + { + "epoch": 0.33, + "learning_rate": 1.5658924227986415e-05, + "loss": 0.9321, + "step": 1711 + }, + { + "epoch": 0.33, + "learning_rate": 1.5653783887991282e-05, + "loss": 0.9773, + "step": 1712 + }, + { + "epoch": 0.33, + "learning_rate": 1.564864135126018e-05, + "loss": 0.9596, + "step": 1713 + }, + { + "epoch": 0.33, + "learning_rate": 1.564349661979119e-05, + "loss": 1.0049, + "step": 1714 + }, + { + "epoch": 0.33, + "learning_rate": 1.5638349695583276e-05, + "loss": 1.0322, + "step": 1715 + }, + { + "epoch": 0.33, + "learning_rate": 1.563320058063622e-05, + "loss": 0.9596, + "step": 1716 + }, + { + "epoch": 0.33, + "learning_rate": 1.5628049276950687e-05, + "loss": 0.9914, + "step": 1717 + }, + { + "epoch": 0.33, + "learning_rate": 1.5622895786528173e-05, + "loss": 0.9785, + "step": 1718 + }, + { + "epoch": 0.33, + "learning_rate": 1.5617740111371023e-05, + "loss": 0.9314, + "step": 1719 + }, + { + "epoch": 0.33, + "learning_rate": 1.5612582253482444e-05, + "loss": 0.9427, + "step": 1720 + }, + { + "epoch": 0.33, + "learning_rate": 1.560742221486648e-05, + "loss": 1.0081, + "step": 1721 + }, + { + "epoch": 0.33, + "learning_rate": 1.5602259997528028e-05, + "loss": 1.0634, + "step": 1722 + }, + { + "epoch": 0.33, + "learning_rate": 1.5597095603472828e-05, + "loss": 1.051, + "step": 1723 + }, + { + "epoch": 0.33, + "learning_rate": 1.5591929034707468e-05, + "loss": 0.941, + "step": 1724 + }, + { + "epoch": 0.33, + "learning_rate": 1.5586760293239383e-05, + "loss": 1.0976, + "step": 1725 + }, + { + "epoch": 0.33, + "learning_rate": 1.5581589381076843e-05, + "loss": 0.9981, + "step": 1726 + }, + { + "epoch": 0.33, + "learning_rate": 1.557641630022897e-05, + "loss": 0.9409, + "step": 1727 + }, + { + "epoch": 0.33, + "learning_rate": 1.5571241052705724e-05, + "loss": 0.9959, + "step": 1728 + }, + { + "epoch": 0.33, + "learning_rate": 1.5566063640517918e-05, + "loss": 1.0041, + "step": 1729 + }, + { + "epoch": 0.33, + "learning_rate": 1.5560884065677188e-05, + "loss": 1.0361, + "step": 1730 + }, + { + "epoch": 0.33, + "learning_rate": 1.5555702330196024e-05, + "loss": 0.9485, + "step": 1731 + }, + { + "epoch": 0.33, + "learning_rate": 1.5550518436087753e-05, + "loss": 1.0744, + "step": 1732 + }, + { + "epoch": 0.33, + "learning_rate": 1.554533238536653e-05, + "loss": 1.0595, + "step": 1733 + }, + { + "epoch": 0.33, + "learning_rate": 1.5540144180047367e-05, + "loss": 0.903, + "step": 1734 + }, + { + "epoch": 0.33, + "learning_rate": 1.5534953822146097e-05, + "loss": 1.0008, + "step": 1735 + }, + { + "epoch": 0.33, + "learning_rate": 1.5529761313679396e-05, + "loss": 0.9833, + "step": 1736 + }, + { + "epoch": 0.33, + "learning_rate": 1.5524566656664777e-05, + "loss": 0.9537, + "step": 1737 + }, + { + "epoch": 0.33, + "learning_rate": 1.5519369853120584e-05, + "loss": 0.9749, + "step": 1738 + }, + { + "epoch": 0.33, + "learning_rate": 1.5514170905065996e-05, + "loss": 0.9504, + "step": 1739 + }, + { + "epoch": 0.33, + "learning_rate": 1.5508969814521026e-05, + "loss": 1.0005, + "step": 1740 + }, + { + "epoch": 0.34, + "learning_rate": 1.5503766583506522e-05, + "loss": 1.0163, + "step": 1741 + }, + { + "epoch": 0.34, + "learning_rate": 1.549856121404416e-05, + "loss": 1.0103, + "step": 1742 + }, + { + "epoch": 0.34, + "learning_rate": 1.5493353708156442e-05, + "loss": 0.9981, + "step": 1743 + }, + { + "epoch": 0.34, + "learning_rate": 1.548814406786671e-05, + "loss": 1.0456, + "step": 1744 + }, + { + "epoch": 0.34, + "learning_rate": 1.548293229519914e-05, + "loss": 0.9927, + "step": 1745 + }, + { + "epoch": 0.34, + "learning_rate": 1.5477718392178716e-05, + "loss": 0.964, + "step": 1746 + }, + { + "epoch": 0.34, + "learning_rate": 1.5472502360831265e-05, + "loss": 1.0086, + "step": 1747 + }, + { + "epoch": 0.34, + "learning_rate": 1.5467284203183437e-05, + "loss": 0.9516, + "step": 1748 + }, + { + "epoch": 0.34, + "learning_rate": 1.5462063921262708e-05, + "loss": 0.9885, + "step": 1749 + }, + { + "epoch": 0.34, + "learning_rate": 1.5456841517097385e-05, + "loss": 1.0432, + "step": 1750 + }, + { + "epoch": 0.34, + "learning_rate": 1.545161699271659e-05, + "loss": 1.0025, + "step": 1751 + }, + { + "epoch": 0.34, + "learning_rate": 1.5446390350150272e-05, + "loss": 0.9715, + "step": 1752 + }, + { + "epoch": 0.34, + "learning_rate": 1.544116159142921e-05, + "loss": 0.9673, + "step": 1753 + }, + { + "epoch": 0.34, + "learning_rate": 1.5435930718584993e-05, + "loss": 0.9477, + "step": 1754 + }, + { + "epoch": 0.34, + "learning_rate": 1.5430697733650045e-05, + "loss": 1.0362, + "step": 1755 + }, + { + "epoch": 0.34, + "learning_rate": 1.5425462638657597e-05, + "loss": 1.0285, + "step": 1756 + }, + { + "epoch": 0.34, + "learning_rate": 1.542022543564171e-05, + "loss": 0.9502, + "step": 1757 + }, + { + "epoch": 0.34, + "learning_rate": 1.541498612663726e-05, + "loss": 0.93, + "step": 1758 + }, + { + "epoch": 0.34, + "learning_rate": 1.5409744713679942e-05, + "loss": 1.0638, + "step": 1759 + }, + { + "epoch": 0.34, + "learning_rate": 1.5404501198806267e-05, + "loss": 0.9503, + "step": 1760 + }, + { + "epoch": 0.34, + "learning_rate": 1.5399255584053568e-05, + "loss": 0.9788, + "step": 1761 + }, + { + "epoch": 0.34, + "learning_rate": 1.5394007871459983e-05, + "loss": 0.9334, + "step": 1762 + }, + { + "epoch": 0.34, + "learning_rate": 1.538875806306448e-05, + "loss": 0.8527, + "step": 1763 + }, + { + "epoch": 0.34, + "learning_rate": 1.5383506160906826e-05, + "loss": 0.9735, + "step": 1764 + }, + { + "epoch": 0.34, + "learning_rate": 1.5378252167027613e-05, + "loss": 1.0369, + "step": 1765 + }, + { + "epoch": 0.34, + "learning_rate": 1.5372996083468242e-05, + "loss": 1.0214, + "step": 1766 + }, + { + "epoch": 0.34, + "learning_rate": 1.536773791227092e-05, + "loss": 1.0128, + "step": 1767 + }, + { + "epoch": 0.34, + "learning_rate": 1.5362477655478677e-05, + "loss": 0.9894, + "step": 1768 + }, + { + "epoch": 0.34, + "learning_rate": 1.535721531513535e-05, + "loss": 0.9739, + "step": 1769 + }, + { + "epoch": 0.34, + "learning_rate": 1.535195089328557e-05, + "loss": 1.0597, + "step": 1770 + }, + { + "epoch": 0.34, + "learning_rate": 1.5346684391974792e-05, + "loss": 1.0243, + "step": 1771 + }, + { + "epoch": 0.34, + "learning_rate": 1.534141581324929e-05, + "loss": 0.9223, + "step": 1772 + }, + { + "epoch": 0.34, + "learning_rate": 1.533614515915612e-05, + "loss": 0.9878, + "step": 1773 + }, + { + "epoch": 0.34, + "learning_rate": 1.533087243174315e-05, + "loss": 0.9993, + "step": 1774 + }, + { + "epoch": 0.34, + "learning_rate": 1.5325597633059075e-05, + "loss": 1.0044, + "step": 1775 + }, + { + "epoch": 0.34, + "learning_rate": 1.5320320765153367e-05, + "loss": 0.9476, + "step": 1776 + }, + { + "epoch": 0.34, + "learning_rate": 1.5315041830076317e-05, + "loss": 0.9661, + "step": 1777 + }, + { + "epoch": 0.34, + "learning_rate": 1.530976082987902e-05, + "loss": 1.0088, + "step": 1778 + }, + { + "epoch": 0.34, + "learning_rate": 1.5304477766613365e-05, + "loss": 0.9707, + "step": 1779 + }, + { + "epoch": 0.34, + "learning_rate": 1.529919264233205e-05, + "loss": 0.9317, + "step": 1780 + }, + { + "epoch": 0.34, + "learning_rate": 1.529390545908857e-05, + "loss": 0.9478, + "step": 1781 + }, + { + "epoch": 0.34, + "learning_rate": 1.528861621893722e-05, + "loss": 0.9367, + "step": 1782 + }, + { + "epoch": 0.34, + "learning_rate": 1.52833249239331e-05, + "loss": 0.9425, + "step": 1783 + }, + { + "epoch": 0.34, + "learning_rate": 1.527803157613209e-05, + "loss": 0.9653, + "step": 1784 + }, + { + "epoch": 0.34, + "learning_rate": 1.5272736177590902e-05, + "loss": 0.9438, + "step": 1785 + }, + { + "epoch": 0.34, + "learning_rate": 1.526743873036701e-05, + "loss": 0.999, + "step": 1786 + }, + { + "epoch": 0.34, + "learning_rate": 1.5262139236518695e-05, + "loss": 1.0109, + "step": 1787 + }, + { + "epoch": 0.34, + "learning_rate": 1.5256837698105047e-05, + "loss": 1.002, + "step": 1788 + }, + { + "epoch": 0.34, + "learning_rate": 1.5251534117185935e-05, + "loss": 0.9453, + "step": 1789 + }, + { + "epoch": 0.34, + "learning_rate": 1.5246228495822025e-05, + "loss": 1.0966, + "step": 1790 + }, + { + "epoch": 0.34, + "learning_rate": 1.5240920836074777e-05, + "loss": 0.9749, + "step": 1791 + }, + { + "epoch": 0.34, + "learning_rate": 1.5235611140006446e-05, + "loss": 1.0057, + "step": 1792 + }, + { + "epoch": 0.35, + "learning_rate": 1.5230299409680073e-05, + "loss": 0.975, + "step": 1793 + }, + { + "epoch": 0.35, + "learning_rate": 1.5224985647159489e-05, + "loss": 0.9477, + "step": 1794 + }, + { + "epoch": 0.35, + "learning_rate": 1.5219669854509322e-05, + "loss": 1.0125, + "step": 1795 + }, + { + "epoch": 0.35, + "learning_rate": 1.5214352033794981e-05, + "loss": 0.9977, + "step": 1796 + }, + { + "epoch": 0.35, + "learning_rate": 1.5209032187082668e-05, + "loss": 1.0859, + "step": 1797 + }, + { + "epoch": 0.35, + "learning_rate": 1.5203710316439368e-05, + "loss": 0.9126, + "step": 1798 + }, + { + "epoch": 0.35, + "learning_rate": 1.5198386423932856e-05, + "loss": 0.978, + "step": 1799 + }, + { + "epoch": 0.35, + "learning_rate": 1.5193060511631692e-05, + "loss": 1.0016, + "step": 1800 + }, + { + "epoch": 0.35, + "learning_rate": 1.5187732581605217e-05, + "loss": 1.0638, + "step": 1801 + }, + { + "epoch": 0.35, + "learning_rate": 1.518240263592356e-05, + "loss": 0.9414, + "step": 1802 + }, + { + "epoch": 0.35, + "learning_rate": 1.5177070676657632e-05, + "loss": 1.0006, + "step": 1803 + }, + { + "epoch": 0.35, + "learning_rate": 1.5171736705879127e-05, + "loss": 1.061, + "step": 1804 + }, + { + "epoch": 0.35, + "learning_rate": 1.5166400725660522e-05, + "loss": 1.0188, + "step": 1805 + }, + { + "epoch": 0.35, + "learning_rate": 1.5161062738075068e-05, + "loss": 0.8656, + "step": 1806 + }, + { + "epoch": 0.35, + "learning_rate": 1.5155722745196802e-05, + "loss": 1.0591, + "step": 1807 + }, + { + "epoch": 0.35, + "learning_rate": 1.5150380749100545e-05, + "loss": 1.0563, + "step": 1808 + }, + { + "epoch": 0.35, + "learning_rate": 1.514503675186188e-05, + "loss": 0.892, + "step": 1809 + }, + { + "epoch": 0.35, + "learning_rate": 1.5139690755557186e-05, + "loss": 0.9047, + "step": 1810 + }, + { + "epoch": 0.35, + "learning_rate": 1.5134342762263606e-05, + "loss": 0.995, + "step": 1811 + }, + { + "epoch": 0.35, + "learning_rate": 1.5128992774059063e-05, + "loss": 0.9736, + "step": 1812 + }, + { + "epoch": 0.35, + "learning_rate": 1.5123640793022255e-05, + "loss": 1.0044, + "step": 1813 + }, + { + "epoch": 0.35, + "learning_rate": 1.5118286821232661e-05, + "loss": 0.8709, + "step": 1814 + }, + { + "epoch": 0.35, + "learning_rate": 1.511293086077052e-05, + "loss": 0.9028, + "step": 1815 + }, + { + "epoch": 0.35, + "learning_rate": 1.5107572913716859e-05, + "loss": 0.9492, + "step": 1816 + }, + { + "epoch": 0.35, + "learning_rate": 1.510221298215346e-05, + "loss": 0.9946, + "step": 1817 + }, + { + "epoch": 0.35, + "learning_rate": 1.5096851068162885e-05, + "loss": 1.03, + "step": 1818 + }, + { + "epoch": 0.35, + "learning_rate": 1.5091487173828471e-05, + "loss": 0.9856, + "step": 1819 + }, + { + "epoch": 0.35, + "learning_rate": 1.5086121301234318e-05, + "loss": 0.9956, + "step": 1820 + }, + { + "epoch": 0.35, + "learning_rate": 1.5080753452465296e-05, + "loss": 0.9534, + "step": 1821 + }, + { + "epoch": 0.35, + "learning_rate": 1.5075383629607043e-05, + "loss": 1.0015, + "step": 1822 + }, + { + "epoch": 0.35, + "learning_rate": 1.5070011834745963e-05, + "loss": 0.9505, + "step": 1823 + }, + { + "epoch": 0.35, + "learning_rate": 1.5064638069969228e-05, + "loss": 0.9736, + "step": 1824 + }, + { + "epoch": 0.35, + "learning_rate": 1.5059262337364779e-05, + "loss": 1.0078, + "step": 1825 + }, + { + "epoch": 0.35, + "learning_rate": 1.505388463902131e-05, + "loss": 0.937, + "step": 1826 + }, + { + "epoch": 0.35, + "learning_rate": 1.5048504977028289e-05, + "loss": 0.9134, + "step": 1827 + }, + { + "epoch": 0.35, + "learning_rate": 1.5043123353475944e-05, + "loss": 0.9464, + "step": 1828 + }, + { + "epoch": 0.35, + "learning_rate": 1.5037739770455263e-05, + "loss": 0.9632, + "step": 1829 + }, + { + "epoch": 0.35, + "learning_rate": 1.5032354230058004e-05, + "loss": 1.0439, + "step": 1830 + }, + { + "epoch": 0.35, + "learning_rate": 1.502696673437667e-05, + "loss": 0.9679, + "step": 1831 + }, + { + "epoch": 0.35, + "learning_rate": 1.5021577285504538e-05, + "loss": 0.8713, + "step": 1832 + }, + { + "epoch": 0.35, + "learning_rate": 1.5016185885535639e-05, + "loss": 1.0434, + "step": 1833 + }, + { + "epoch": 0.35, + "learning_rate": 1.5010792536564762e-05, + "loss": 0.9716, + "step": 1834 + }, + { + "epoch": 0.35, + "learning_rate": 1.5005397240687447e-05, + "loss": 0.9713, + "step": 1835 + }, + { + "epoch": 0.35, + "learning_rate": 1.5000000000000002e-05, + "loss": 1.0136, + "step": 1836 + }, + { + "epoch": 0.35, + "learning_rate": 1.4994600816599482e-05, + "loss": 0.9719, + "step": 1837 + }, + { + "epoch": 0.35, + "learning_rate": 1.4989199692583705e-05, + "loss": 1.0484, + "step": 1838 + }, + { + "epoch": 0.35, + "learning_rate": 1.498379663005123e-05, + "loss": 1.0345, + "step": 1839 + }, + { + "epoch": 0.35, + "learning_rate": 1.4978391631101383e-05, + "loss": 1.0212, + "step": 1840 + }, + { + "epoch": 0.35, + "learning_rate": 1.4972984697834238e-05, + "loss": 0.9878, + "step": 1841 + }, + { + "epoch": 0.35, + "learning_rate": 1.4967575832350614e-05, + "loss": 0.9405, + "step": 1842 + }, + { + "epoch": 0.35, + "learning_rate": 1.4962165036752085e-05, + "loss": 0.9792, + "step": 1843 + }, + { + "epoch": 0.35, + "learning_rate": 1.4956752313140978e-05, + "loss": 0.9592, + "step": 1844 + }, + { + "epoch": 0.36, + "learning_rate": 1.4951337663620368e-05, + "loss": 0.9967, + "step": 1845 + }, + { + "epoch": 0.36, + "learning_rate": 1.4945921090294076e-05, + "loss": 0.9346, + "step": 1846 + }, + { + "epoch": 0.36, + "learning_rate": 1.494050259526667e-05, + "loss": 0.9394, + "step": 1847 + }, + { + "epoch": 0.36, + "learning_rate": 1.493508218064347e-05, + "loss": 1.034, + "step": 1848 + }, + { + "epoch": 0.36, + "learning_rate": 1.4929659848530537e-05, + "loss": 0.9806, + "step": 1849 + }, + { + "epoch": 0.36, + "learning_rate": 1.4924235601034673e-05, + "loss": 1.0129, + "step": 1850 + }, + { + "epoch": 0.36, + "learning_rate": 1.4918809440263435e-05, + "loss": 1.0062, + "step": 1851 + }, + { + "epoch": 0.36, + "learning_rate": 1.4913381368325115e-05, + "loss": 0.9179, + "step": 1852 + }, + { + "epoch": 0.36, + "learning_rate": 1.4907951387328752e-05, + "loss": 1.0345, + "step": 1853 + }, + { + "epoch": 0.36, + "learning_rate": 1.4902519499384122e-05, + "loss": 0.9936, + "step": 1854 + }, + { + "epoch": 0.36, + "learning_rate": 1.489708570660175e-05, + "loss": 0.9827, + "step": 1855 + }, + { + "epoch": 0.36, + "learning_rate": 1.4891650011092896e-05, + "loss": 0.9941, + "step": 1856 + }, + { + "epoch": 0.36, + "learning_rate": 1.4886212414969551e-05, + "loss": 0.9635, + "step": 1857 + }, + { + "epoch": 0.36, + "learning_rate": 1.488077292034446e-05, + "loss": 1.0539, + "step": 1858 + }, + { + "epoch": 0.36, + "learning_rate": 1.4875331529331097e-05, + "loss": 0.9474, + "step": 1859 + }, + { + "epoch": 0.36, + "learning_rate": 1.4869888244043674e-05, + "loss": 0.9431, + "step": 1860 + }, + { + "epoch": 0.36, + "learning_rate": 1.486444306659714e-05, + "loss": 1.0506, + "step": 1861 + }, + { + "epoch": 0.36, + "learning_rate": 1.4858995999107175e-05, + "loss": 0.9631, + "step": 1862 + }, + { + "epoch": 0.36, + "learning_rate": 1.4853547043690201e-05, + "loss": 0.9805, + "step": 1863 + }, + { + "epoch": 0.36, + "learning_rate": 1.4848096202463373e-05, + "loss": 1.008, + "step": 1864 + }, + { + "epoch": 0.36, + "learning_rate": 1.4842643477544565e-05, + "loss": 0.9386, + "step": 1865 + }, + { + "epoch": 0.36, + "learning_rate": 1.4837188871052399e-05, + "loss": 1.0384, + "step": 1866 + }, + { + "epoch": 0.36, + "learning_rate": 1.4831732385106221e-05, + "loss": 0.9598, + "step": 1867 + }, + { + "epoch": 0.36, + "learning_rate": 1.482627402182611e-05, + "loss": 0.9615, + "step": 1868 + }, + { + "epoch": 0.36, + "learning_rate": 1.482081378333287e-05, + "loss": 0.9312, + "step": 1869 + }, + { + "epoch": 0.36, + "learning_rate": 1.4815351671748039e-05, + "loss": 1.0306, + "step": 1870 + }, + { + "epoch": 0.36, + "learning_rate": 1.4809887689193878e-05, + "loss": 0.9162, + "step": 1871 + }, + { + "epoch": 0.36, + "learning_rate": 1.4804421837793379e-05, + "loss": 0.9758, + "step": 1872 + }, + { + "epoch": 0.36, + "learning_rate": 1.4798954119670254e-05, + "loss": 0.9309, + "step": 1873 + }, + { + "epoch": 0.36, + "learning_rate": 1.479348453694895e-05, + "loss": 0.9546, + "step": 1874 + }, + { + "epoch": 0.36, + "learning_rate": 1.4788013091754629e-05, + "loss": 0.9887, + "step": 1875 + }, + { + "epoch": 0.36, + "learning_rate": 1.4782539786213184e-05, + "loss": 1.0048, + "step": 1876 + }, + { + "epoch": 0.36, + "learning_rate": 1.4777064622451222e-05, + "loss": 0.9412, + "step": 1877 + }, + { + "epoch": 0.36, + "learning_rate": 1.4771587602596085e-05, + "loss": 0.9389, + "step": 1878 + }, + { + "epoch": 0.36, + "learning_rate": 1.4766108728775822e-05, + "loss": 0.9732, + "step": 1879 + }, + { + "epoch": 0.36, + "learning_rate": 1.4760628003119213e-05, + "loss": 1.0075, + "step": 1880 + }, + { + "epoch": 0.36, + "learning_rate": 1.4755145427755755e-05, + "loss": 0.9355, + "step": 1881 + }, + { + "epoch": 0.36, + "learning_rate": 1.4749661004815654e-05, + "loss": 0.9345, + "step": 1882 + }, + { + "epoch": 0.36, + "learning_rate": 1.474417473642985e-05, + "loss": 0.9309, + "step": 1883 + }, + { + "epoch": 0.36, + "learning_rate": 1.4738686624729987e-05, + "loss": 0.9994, + "step": 1884 + }, + { + "epoch": 0.36, + "learning_rate": 1.4733196671848435e-05, + "loss": 0.9825, + "step": 1885 + }, + { + "epoch": 0.36, + "learning_rate": 1.4727704879918272e-05, + "loss": 1.0547, + "step": 1886 + }, + { + "epoch": 0.36, + "learning_rate": 1.4722211251073293e-05, + "loss": 0.9437, + "step": 1887 + }, + { + "epoch": 0.36, + "learning_rate": 1.4716715787448007e-05, + "loss": 0.9557, + "step": 1888 + }, + { + "epoch": 0.36, + "learning_rate": 1.4711218491177636e-05, + "loss": 0.8695, + "step": 1889 + }, + { + "epoch": 0.36, + "learning_rate": 1.4705719364398117e-05, + "loss": 0.9075, + "step": 1890 + }, + { + "epoch": 0.36, + "learning_rate": 1.4700218409246087e-05, + "loss": 0.9343, + "step": 1891 + }, + { + "epoch": 0.36, + "learning_rate": 1.469471562785891e-05, + "loss": 1.0131, + "step": 1892 + }, + { + "epoch": 0.36, + "learning_rate": 1.4689211022374645e-05, + "loss": 0.9919, + "step": 1893 + }, + { + "epoch": 0.36, + "learning_rate": 1.4683704594932072e-05, + "loss": 0.9509, + "step": 1894 + }, + { + "epoch": 0.36, + "learning_rate": 1.4678196347670665e-05, + "loss": 0.979, + "step": 1895 + }, + { + "epoch": 0.36, + "learning_rate": 1.4672686282730622e-05, + "loss": 0.9442, + "step": 1896 + }, + { + "epoch": 0.37, + "learning_rate": 1.4667174402252831e-05, + "loss": 1.0028, + "step": 1897 + }, + { + "epoch": 0.37, + "learning_rate": 1.4661660708378893e-05, + "loss": 1.0746, + "step": 1898 + }, + { + "epoch": 0.37, + "learning_rate": 1.4656145203251116e-05, + "loss": 1.1036, + "step": 1899 + }, + { + "epoch": 0.37, + "learning_rate": 1.4650627889012507e-05, + "loss": 1.0018, + "step": 1900 + }, + { + "epoch": 0.37, + "learning_rate": 1.4645108767806778e-05, + "loss": 0.9223, + "step": 1901 + }, + { + "epoch": 0.37, + "learning_rate": 1.4639587841778342e-05, + "loss": 1.0125, + "step": 1902 + }, + { + "epoch": 0.37, + "learning_rate": 1.4634065113072316e-05, + "loss": 0.9334, + "step": 1903 + }, + { + "epoch": 0.37, + "learning_rate": 1.4628540583834511e-05, + "loss": 0.9684, + "step": 1904 + }, + { + "epoch": 0.37, + "learning_rate": 1.462301425621145e-05, + "loss": 0.9581, + "step": 1905 + }, + { + "epoch": 0.37, + "learning_rate": 1.4617486132350343e-05, + "loss": 0.9632, + "step": 1906 + }, + { + "epoch": 0.37, + "learning_rate": 1.4611956214399097e-05, + "loss": 1.0394, + "step": 1907 + }, + { + "epoch": 0.37, + "learning_rate": 1.4606424504506325e-05, + "loss": 1.0463, + "step": 1908 + }, + { + "epoch": 0.37, + "learning_rate": 1.4600891004821332e-05, + "loss": 1.0525, + "step": 1909 + }, + { + "epoch": 0.37, + "learning_rate": 1.4595355717494118e-05, + "loss": 1.0245, + "step": 1910 + }, + { + "epoch": 0.37, + "learning_rate": 1.4589818644675378e-05, + "loss": 0.9734, + "step": 1911 + }, + { + "epoch": 0.37, + "learning_rate": 1.45842797885165e-05, + "loss": 0.9837, + "step": 1912 + }, + { + "epoch": 0.37, + "learning_rate": 1.4578739151169567e-05, + "loss": 1.033, + "step": 1913 + }, + { + "epoch": 0.37, + "learning_rate": 1.4573196734787357e-05, + "loss": 0.9723, + "step": 1914 + }, + { + "epoch": 0.37, + "learning_rate": 1.4567652541523325e-05, + "loss": 0.964, + "step": 1915 + }, + { + "epoch": 0.37, + "learning_rate": 1.4562106573531632e-05, + "loss": 1.0145, + "step": 1916 + }, + { + "epoch": 0.37, + "learning_rate": 1.4556558832967122e-05, + "loss": 1.006, + "step": 1917 + }, + { + "epoch": 0.37, + "learning_rate": 1.455100932198533e-05, + "loss": 1.1042, + "step": 1918 + }, + { + "epoch": 0.37, + "learning_rate": 1.4545458042742477e-05, + "loss": 0.9456, + "step": 1919 + }, + { + "epoch": 0.37, + "learning_rate": 1.4539904997395468e-05, + "loss": 1.0269, + "step": 1920 + }, + { + "epoch": 0.37, + "learning_rate": 1.4534350188101905e-05, + "loss": 0.8758, + "step": 1921 + }, + { + "epoch": 0.37, + "learning_rate": 1.4528793617020063e-05, + "loss": 0.9583, + "step": 1922 + }, + { + "epoch": 0.37, + "learning_rate": 1.4523235286308907e-05, + "loss": 0.9987, + "step": 1923 + }, + { + "epoch": 0.37, + "learning_rate": 1.4517675198128086e-05, + "loss": 1.0395, + "step": 1924 + }, + { + "epoch": 0.37, + "learning_rate": 1.4512113354637931e-05, + "loss": 0.9669, + "step": 1925 + }, + { + "epoch": 0.37, + "learning_rate": 1.4506549757999456e-05, + "loss": 1.0034, + "step": 1926 + }, + { + "epoch": 0.37, + "learning_rate": 1.4500984410374353e-05, + "loss": 1.0304, + "step": 1927 + }, + { + "epoch": 0.37, + "learning_rate": 1.4495417313924996e-05, + "loss": 1.0354, + "step": 1928 + }, + { + "epoch": 0.37, + "learning_rate": 1.4489848470814447e-05, + "loss": 1.0288, + "step": 1929 + }, + { + "epoch": 0.37, + "learning_rate": 1.4484277883206433e-05, + "loss": 0.9943, + "step": 1930 + }, + { + "epoch": 0.37, + "learning_rate": 1.4478705553265363e-05, + "loss": 0.8914, + "step": 1931 + }, + { + "epoch": 0.37, + "learning_rate": 1.4473131483156326e-05, + "loss": 0.992, + "step": 1932 + }, + { + "epoch": 0.37, + "learning_rate": 1.4467555675045088e-05, + "loss": 0.9975, + "step": 1933 + }, + { + "epoch": 0.37, + "learning_rate": 1.4461978131098089e-05, + "loss": 0.9224, + "step": 1934 + }, + { + "epoch": 0.37, + "learning_rate": 1.4456398853482438e-05, + "loss": 1.0105, + "step": 1935 + }, + { + "epoch": 0.37, + "learning_rate": 1.4450817844365924e-05, + "loss": 1.0492, + "step": 1936 + }, + { + "epoch": 0.37, + "learning_rate": 1.444523510591701e-05, + "loss": 0.9876, + "step": 1937 + }, + { + "epoch": 0.37, + "learning_rate": 1.4439650640304822e-05, + "loss": 0.9768, + "step": 1938 + }, + { + "epoch": 0.37, + "learning_rate": 1.4434064449699168e-05, + "loss": 0.9007, + "step": 1939 + }, + { + "epoch": 0.37, + "learning_rate": 1.4428476536270517e-05, + "loss": 0.9593, + "step": 1940 + }, + { + "epoch": 0.37, + "learning_rate": 1.4422886902190014e-05, + "loss": 0.928, + "step": 1941 + }, + { + "epoch": 0.37, + "learning_rate": 1.4417295549629469e-05, + "loss": 1.0226, + "step": 1942 + }, + { + "epoch": 0.37, + "learning_rate": 1.4411702480761362e-05, + "loss": 0.939, + "step": 1943 + }, + { + "epoch": 0.37, + "learning_rate": 1.4406107697758838e-05, + "loss": 0.9788, + "step": 1944 + }, + { + "epoch": 0.37, + "learning_rate": 1.440051120279571e-05, + "loss": 1.0096, + "step": 1945 + }, + { + "epoch": 0.37, + "learning_rate": 1.4394912998046451e-05, + "loss": 1.0147, + "step": 1946 + }, + { + "epoch": 0.37, + "learning_rate": 1.4389313085686205e-05, + "loss": 0.9683, + "step": 1947 + }, + { + "epoch": 0.37, + "learning_rate": 1.4383711467890776e-05, + "loss": 0.9982, + "step": 1948 + }, + { + "epoch": 0.38, + "learning_rate": 1.4378108146836632e-05, + "loss": 0.9635, + "step": 1949 + }, + { + "epoch": 0.38, + "learning_rate": 1.4372503124700899e-05, + "loss": 0.9683, + "step": 1950 + }, + { + "epoch": 0.38, + "learning_rate": 1.436689640366137e-05, + "loss": 0.9981, + "step": 1951 + }, + { + "epoch": 0.38, + "learning_rate": 1.4361287985896495e-05, + "loss": 0.9939, + "step": 1952 + }, + { + "epoch": 0.38, + "learning_rate": 1.4355677873585383e-05, + "loss": 1.0147, + "step": 1953 + }, + { + "epoch": 0.38, + "learning_rate": 1.43500660689078e-05, + "loss": 1.0273, + "step": 1954 + }, + { + "epoch": 0.38, + "learning_rate": 1.4344452574044173e-05, + "loss": 0.9923, + "step": 1955 + }, + { + "epoch": 0.38, + "learning_rate": 1.4338837391175582e-05, + "loss": 1.021, + "step": 1956 + }, + { + "epoch": 0.38, + "learning_rate": 1.4333220522483768e-05, + "loss": 0.92, + "step": 1957 + }, + { + "epoch": 0.38, + "learning_rate": 1.4327601970151122e-05, + "loss": 1.019, + "step": 1958 + }, + { + "epoch": 0.38, + "learning_rate": 1.432198173636069e-05, + "loss": 0.9686, + "step": 1959 + }, + { + "epoch": 0.38, + "learning_rate": 1.4316359823296174e-05, + "loss": 0.891, + "step": 1960 + }, + { + "epoch": 0.38, + "learning_rate": 1.4310736233141926e-05, + "loss": 1.0277, + "step": 1961 + }, + { + "epoch": 0.38, + "learning_rate": 1.4305110968082953e-05, + "loss": 1.0434, + "step": 1962 + }, + { + "epoch": 0.38, + "learning_rate": 1.4299484030304906e-05, + "loss": 0.9399, + "step": 1963 + }, + { + "epoch": 0.38, + "learning_rate": 1.4293855421994094e-05, + "loss": 1.048, + "step": 1964 + }, + { + "epoch": 0.38, + "learning_rate": 1.4288225145337467e-05, + "loss": 1.1177, + "step": 1965 + }, + { + "epoch": 0.38, + "learning_rate": 1.4282593202522627e-05, + "loss": 0.9884, + "step": 1966 + }, + { + "epoch": 0.38, + "learning_rate": 1.4276959595737832e-05, + "loss": 1.0745, + "step": 1967 + }, + { + "epoch": 0.38, + "learning_rate": 1.4271324327171969e-05, + "loss": 1.0431, + "step": 1968 + }, + { + "epoch": 0.38, + "learning_rate": 1.4265687399014584e-05, + "loss": 0.9651, + "step": 1969 + }, + { + "epoch": 0.38, + "learning_rate": 1.4260048813455867e-05, + "loss": 0.9341, + "step": 1970 + }, + { + "epoch": 0.38, + "learning_rate": 1.4254408572686642e-05, + "loss": 0.9483, + "step": 1971 + }, + { + "epoch": 0.38, + "learning_rate": 1.4248766678898386e-05, + "loss": 0.972, + "step": 1972 + }, + { + "epoch": 0.38, + "learning_rate": 1.4243123134283217e-05, + "loss": 0.9665, + "step": 1973 + }, + { + "epoch": 0.38, + "learning_rate": 1.4237477941033888e-05, + "loss": 1.0035, + "step": 1974 + }, + { + "epoch": 0.38, + "learning_rate": 1.4231831101343802e-05, + "loss": 0.9866, + "step": 1975 + }, + { + "epoch": 0.38, + "learning_rate": 1.4226182617406996e-05, + "loss": 0.9493, + "step": 1976 + }, + { + "epoch": 0.38, + "learning_rate": 1.4220532491418144e-05, + "loss": 0.9845, + "step": 1977 + }, + { + "epoch": 0.38, + "learning_rate": 1.4214880725572563e-05, + "loss": 0.8993, + "step": 1978 + }, + { + "epoch": 0.38, + "learning_rate": 1.4209227322066206e-05, + "loss": 0.9656, + "step": 1979 + }, + { + "epoch": 0.38, + "learning_rate": 1.4203572283095657e-05, + "loss": 0.8845, + "step": 1980 + }, + { + "epoch": 0.38, + "learning_rate": 1.4197915610858143e-05, + "loss": 0.9296, + "step": 1981 + }, + { + "epoch": 0.38, + "learning_rate": 1.419225730755152e-05, + "loss": 1.0749, + "step": 1982 + }, + { + "epoch": 0.38, + "learning_rate": 1.4186597375374283e-05, + "loss": 0.9711, + "step": 1983 + }, + { + "epoch": 0.38, + "learning_rate": 1.4180935816525554e-05, + "loss": 0.9718, + "step": 1984 + }, + { + "epoch": 0.38, + "learning_rate": 1.417527263320509e-05, + "loss": 1.0179, + "step": 1985 + }, + { + "epoch": 0.38, + "learning_rate": 1.4169607827613284e-05, + "loss": 0.9949, + "step": 1986 + }, + { + "epoch": 0.38, + "learning_rate": 1.4163941401951147e-05, + "loss": 1.0117, + "step": 1987 + }, + { + "epoch": 0.38, + "learning_rate": 1.415827335842033e-05, + "loss": 0.9042, + "step": 1988 + }, + { + "epoch": 0.38, + "learning_rate": 1.4152603699223112e-05, + "loss": 0.9517, + "step": 1989 + }, + { + "epoch": 0.38, + "learning_rate": 1.4146932426562391e-05, + "loss": 0.9409, + "step": 1990 + }, + { + "epoch": 0.38, + "learning_rate": 1.4141259542641706e-05, + "loss": 1.0074, + "step": 1991 + }, + { + "epoch": 0.38, + "learning_rate": 1.4135585049665207e-05, + "loss": 0.9546, + "step": 1992 + }, + { + "epoch": 0.38, + "learning_rate": 1.4129908949837684e-05, + "loss": 1.0464, + "step": 1993 + }, + { + "epoch": 0.38, + "learning_rate": 1.4124231245364534e-05, + "loss": 0.8556, + "step": 1994 + }, + { + "epoch": 0.38, + "learning_rate": 1.4118551938451797e-05, + "loss": 1.0418, + "step": 1995 + }, + { + "epoch": 0.38, + "learning_rate": 1.4112871031306118e-05, + "loss": 1.0524, + "step": 1996 + }, + { + "epoch": 0.38, + "learning_rate": 1.4107188526134774e-05, + "loss": 1.0044, + "step": 1997 + }, + { + "epoch": 0.38, + "learning_rate": 1.4101504425145662e-05, + "loss": 0.9543, + "step": 1998 + }, + { + "epoch": 0.38, + "learning_rate": 1.4095818730547297e-05, + "loss": 0.9004, + "step": 1999 + }, + { + "epoch": 0.38, + "learning_rate": 1.4090131444548814e-05, + "loss": 0.9722, + "step": 2000 + }, + { + "epoch": 0.39, + "learning_rate": 1.4084442569359964e-05, + "loss": 1.0769, + "step": 2001 + }, + { + "epoch": 0.39, + "learning_rate": 1.4078752107191118e-05, + "loss": 0.9857, + "step": 2002 + }, + { + "epoch": 0.39, + "learning_rate": 1.4073060060253265e-05, + "loss": 0.9942, + "step": 2003 + }, + { + "epoch": 0.39, + "learning_rate": 1.4067366430758004e-05, + "loss": 0.8919, + "step": 2004 + }, + { + "epoch": 0.39, + "learning_rate": 1.4061671220917557e-05, + "loss": 0.9678, + "step": 2005 + }, + { + "epoch": 0.39, + "learning_rate": 1.4055974432944753e-05, + "loss": 0.9716, + "step": 2006 + }, + { + "epoch": 0.39, + "learning_rate": 1.4050276069053036e-05, + "loss": 0.8618, + "step": 2007 + }, + { + "epoch": 0.39, + "learning_rate": 1.4044576131456466e-05, + "loss": 0.9881, + "step": 2008 + }, + { + "epoch": 0.39, + "learning_rate": 1.4038874622369714e-05, + "loss": 0.9285, + "step": 2009 + }, + { + "epoch": 0.39, + "learning_rate": 1.4033171544008053e-05, + "loss": 0.9638, + "step": 2010 + }, + { + "epoch": 0.39, + "learning_rate": 1.4027466898587375e-05, + "loss": 0.9629, + "step": 2011 + }, + { + "epoch": 0.39, + "learning_rate": 1.4021760688324175e-05, + "loss": 0.9594, + "step": 2012 + }, + { + "epoch": 0.39, + "learning_rate": 1.4016052915435565e-05, + "loss": 1.043, + "step": 2013 + }, + { + "epoch": 0.39, + "learning_rate": 1.4010343582139252e-05, + "loss": 0.9906, + "step": 2014 + }, + { + "epoch": 0.39, + "learning_rate": 1.4004632690653559e-05, + "loss": 1.0011, + "step": 2015 + }, + { + "epoch": 0.39, + "learning_rate": 1.3998920243197408e-05, + "loss": 0.8908, + "step": 2016 + }, + { + "epoch": 0.39, + "learning_rate": 1.3993206241990333e-05, + "loss": 0.9304, + "step": 2017 + }, + { + "epoch": 0.39, + "learning_rate": 1.3987490689252463e-05, + "loss": 1.0195, + "step": 2018 + }, + { + "epoch": 0.39, + "learning_rate": 1.3981773587204535e-05, + "loss": 0.9196, + "step": 2019 + }, + { + "epoch": 0.39, + "learning_rate": 1.3976054938067885e-05, + "loss": 0.9729, + "step": 2020 + }, + { + "epoch": 0.39, + "learning_rate": 1.3970334744064451e-05, + "loss": 0.9435, + "step": 2021 + }, + { + "epoch": 0.39, + "learning_rate": 1.3964613007416777e-05, + "loss": 1.0531, + "step": 2022 + }, + { + "epoch": 0.39, + "learning_rate": 1.3958889730347997e-05, + "loss": 1.0438, + "step": 2023 + }, + { + "epoch": 0.39, + "learning_rate": 1.3953164915081852e-05, + "loss": 0.924, + "step": 2024 + }, + { + "epoch": 0.39, + "learning_rate": 1.3947438563842672e-05, + "loss": 0.9905, + "step": 2025 + }, + { + "epoch": 0.39, + "learning_rate": 1.3941710678855396e-05, + "loss": 1.049, + "step": 2026 + }, + { + "epoch": 0.39, + "learning_rate": 1.3935981262345541e-05, + "loss": 0.9505, + "step": 2027 + }, + { + "epoch": 0.39, + "learning_rate": 1.3930250316539237e-05, + "loss": 0.9838, + "step": 2028 + }, + { + "epoch": 0.39, + "learning_rate": 1.39245178436632e-05, + "loss": 0.9972, + "step": 2029 + }, + { + "epoch": 0.39, + "learning_rate": 1.3918783845944737e-05, + "loss": 1.0094, + "step": 2030 + }, + { + "epoch": 0.39, + "learning_rate": 1.391304832561175e-05, + "loss": 0.9315, + "step": 2031 + }, + { + "epoch": 0.39, + "learning_rate": 1.3907311284892737e-05, + "loss": 1.0174, + "step": 2032 + }, + { + "epoch": 0.39, + "learning_rate": 1.3901572726016782e-05, + "loss": 0.9248, + "step": 2033 + }, + { + "epoch": 0.39, + "learning_rate": 1.389583265121356e-05, + "loss": 0.9293, + "step": 2034 + }, + { + "epoch": 0.39, + "learning_rate": 1.3890091062713332e-05, + "loss": 0.9185, + "step": 2035 + }, + { + "epoch": 0.39, + "learning_rate": 1.3884347962746949e-05, + "loss": 1.1016, + "step": 2036 + }, + { + "epoch": 0.39, + "learning_rate": 1.3878603353545854e-05, + "loss": 0.9362, + "step": 2037 + }, + { + "epoch": 0.39, + "learning_rate": 1.3872857237342067e-05, + "loss": 1.0121, + "step": 2038 + }, + { + "epoch": 0.39, + "learning_rate": 1.3867109616368208e-05, + "loss": 0.9712, + "step": 2039 + }, + { + "epoch": 0.39, + "learning_rate": 1.3861360492857464e-05, + "loss": 0.944, + "step": 2040 + }, + { + "epoch": 0.39, + "learning_rate": 1.3855609869043618e-05, + "loss": 1.0269, + "step": 2041 + }, + { + "epoch": 0.39, + "learning_rate": 1.3849857747161036e-05, + "loss": 0.9819, + "step": 2042 + }, + { + "epoch": 0.39, + "learning_rate": 1.3844104129444655e-05, + "loss": 0.8888, + "step": 2043 + }, + { + "epoch": 0.39, + "learning_rate": 1.3838349018130007e-05, + "loss": 0.92, + "step": 2044 + }, + { + "epoch": 0.39, + "learning_rate": 1.3832592415453193e-05, + "loss": 0.9649, + "step": 2045 + }, + { + "epoch": 0.39, + "learning_rate": 1.3826834323650899e-05, + "loss": 1.0238, + "step": 2046 + }, + { + "epoch": 0.39, + "learning_rate": 1.3821074744960394e-05, + "loss": 1.01, + "step": 2047 + }, + { + "epoch": 0.39, + "learning_rate": 1.3815313681619515e-05, + "loss": 0.9857, + "step": 2048 + }, + { + "epoch": 0.39, + "learning_rate": 1.3809551135866683e-05, + "loss": 0.9781, + "step": 2049 + }, + { + "epoch": 0.39, + "learning_rate": 1.3803787109940891e-05, + "loss": 0.9378, + "step": 2050 + }, + { + "epoch": 0.39, + "learning_rate": 1.3798021606081713e-05, + "loss": 0.9797, + "step": 2051 + }, + { + "epoch": 0.39, + "learning_rate": 1.3792254626529286e-05, + "loss": 1.0847, + "step": 2052 + }, + { + "epoch": 0.4, + "learning_rate": 1.3786486173524331e-05, + "loss": 1.0179, + "step": 2053 + }, + { + "epoch": 0.4, + "learning_rate": 1.378071624930814e-05, + "loss": 0.8932, + "step": 2054 + }, + { + "epoch": 0.4, + "learning_rate": 1.377494485612257e-05, + "loss": 0.8985, + "step": 2055 + }, + { + "epoch": 0.4, + "learning_rate": 1.3769171996210053e-05, + "loss": 0.9356, + "step": 2056 + }, + { + "epoch": 0.4, + "learning_rate": 1.3763397671813597e-05, + "loss": 0.9264, + "step": 2057 + }, + { + "epoch": 0.4, + "learning_rate": 1.3757621885176768e-05, + "loss": 0.898, + "step": 2058 + }, + { + "epoch": 0.4, + "learning_rate": 1.375184463854371e-05, + "loss": 0.9861, + "step": 2059 + }, + { + "epoch": 0.4, + "learning_rate": 1.3746065934159123e-05, + "loss": 1.0162, + "step": 2060 + }, + { + "epoch": 0.4, + "learning_rate": 1.3740285774268282e-05, + "loss": 1.0588, + "step": 2061 + }, + { + "epoch": 0.4, + "learning_rate": 1.3734504161117028e-05, + "loss": 0.9335, + "step": 2062 + }, + { + "epoch": 0.4, + "learning_rate": 1.3728721096951762e-05, + "loss": 1.0169, + "step": 2063 + }, + { + "epoch": 0.4, + "learning_rate": 1.3722936584019453e-05, + "loss": 1.0336, + "step": 2064 + }, + { + "epoch": 0.4, + "learning_rate": 1.3717150624567627e-05, + "loss": 1.0539, + "step": 2065 + }, + { + "epoch": 0.4, + "learning_rate": 1.371136322084438e-05, + "loss": 0.9398, + "step": 2066 + }, + { + "epoch": 0.4, + "learning_rate": 1.3705574375098365e-05, + "loss": 0.9953, + "step": 2067 + }, + { + "epoch": 0.4, + "learning_rate": 1.3699784089578791e-05, + "loss": 0.8781, + "step": 2068 + }, + { + "epoch": 0.4, + "learning_rate": 1.3693992366535433e-05, + "loss": 1.0095, + "step": 2069 + }, + { + "epoch": 0.4, + "learning_rate": 1.3688199208218623e-05, + "loss": 0.9221, + "step": 2070 + }, + { + "epoch": 0.4, + "learning_rate": 1.3682404616879246e-05, + "loss": 1.0284, + "step": 2071 + }, + { + "epoch": 0.4, + "learning_rate": 1.3676608594768754e-05, + "loss": 1.0419, + "step": 2072 + }, + { + "epoch": 0.4, + "learning_rate": 1.3670811144139144e-05, + "loss": 1.0045, + "step": 2073 + }, + { + "epoch": 0.4, + "learning_rate": 1.3665012267242974e-05, + "loss": 1.0171, + "step": 2074 + }, + { + "epoch": 0.4, + "learning_rate": 1.3659211966333357e-05, + "loss": 1.0114, + "step": 2075 + }, + { + "epoch": 0.4, + "learning_rate": 1.3653410243663953e-05, + "loss": 1.0378, + "step": 2076 + }, + { + "epoch": 0.4, + "learning_rate": 1.364760710148898e-05, + "loss": 0.9796, + "step": 2077 + }, + { + "epoch": 0.4, + "learning_rate": 1.3641802542063208e-05, + "loss": 0.9555, + "step": 2078 + }, + { + "epoch": 0.4, + "learning_rate": 1.3635996567641952e-05, + "loss": 0.9222, + "step": 2079 + }, + { + "epoch": 0.4, + "learning_rate": 1.3630189180481083e-05, + "loss": 0.9589, + "step": 2080 + }, + { + "epoch": 0.4, + "learning_rate": 1.3624380382837017e-05, + "loss": 0.9005, + "step": 2081 + }, + { + "epoch": 0.4, + "learning_rate": 1.3618570176966723e-05, + "loss": 1.0095, + "step": 2082 + }, + { + "epoch": 0.4, + "learning_rate": 1.361275856512771e-05, + "loss": 0.9286, + "step": 2083 + }, + { + "epoch": 0.4, + "learning_rate": 1.3606945549578039e-05, + "loss": 0.9572, + "step": 2084 + }, + { + "epoch": 0.4, + "learning_rate": 1.360113113257631e-05, + "loss": 0.992, + "step": 2085 + }, + { + "epoch": 0.4, + "learning_rate": 1.3595315316381676e-05, + "loss": 1.0092, + "step": 2086 + }, + { + "epoch": 0.4, + "learning_rate": 1.3589498103253828e-05, + "loss": 1.0117, + "step": 2087 + }, + { + "epoch": 0.4, + "learning_rate": 1.3583679495453e-05, + "loss": 0.9232, + "step": 2088 + }, + { + "epoch": 0.4, + "learning_rate": 1.3577859495239975e-05, + "loss": 1.0465, + "step": 2089 + }, + { + "epoch": 0.4, + "learning_rate": 1.3572038104876066e-05, + "loss": 0.8761, + "step": 2090 + }, + { + "epoch": 0.4, + "learning_rate": 1.3566215326623131e-05, + "loss": 0.9964, + "step": 2091 + }, + { + "epoch": 0.4, + "learning_rate": 1.356039116274357e-05, + "loss": 0.8943, + "step": 2092 + }, + { + "epoch": 0.4, + "learning_rate": 1.3554565615500313e-05, + "loss": 0.9394, + "step": 2093 + }, + { + "epoch": 0.4, + "learning_rate": 1.3548738687156839e-05, + "loss": 0.9571, + "step": 2094 + }, + { + "epoch": 0.4, + "learning_rate": 1.3542910379977158e-05, + "loss": 1.006, + "step": 2095 + }, + { + "epoch": 0.4, + "learning_rate": 1.3537080696225815e-05, + "loss": 1.0624, + "step": 2096 + }, + { + "epoch": 0.4, + "learning_rate": 1.353124963816789e-05, + "loss": 0.9899, + "step": 2097 + }, + { + "epoch": 0.4, + "learning_rate": 1.3525417208068996e-05, + "loss": 0.8855, + "step": 2098 + }, + { + "epoch": 0.4, + "learning_rate": 1.3519583408195283e-05, + "loss": 1.098, + "step": 2099 + }, + { + "epoch": 0.4, + "learning_rate": 1.3513748240813429e-05, + "loss": 0.9623, + "step": 2100 + }, + { + "epoch": 0.4, + "learning_rate": 1.3507911708190646e-05, + "loss": 0.9784, + "step": 2101 + }, + { + "epoch": 0.4, + "learning_rate": 1.3502073812594677e-05, + "loss": 0.9382, + "step": 2102 + }, + { + "epoch": 0.4, + "learning_rate": 1.349623455629379e-05, + "loss": 0.9036, + "step": 2103 + }, + { + "epoch": 0.4, + "learning_rate": 1.3490393941556787e-05, + "loss": 0.9416, + "step": 2104 + }, + { + "epoch": 0.41, + "learning_rate": 1.3484551970652997e-05, + "loss": 0.9807, + "step": 2105 + }, + { + "epoch": 0.41, + "learning_rate": 1.3478708645852272e-05, + "loss": 0.9794, + "step": 2106 + }, + { + "epoch": 0.41, + "learning_rate": 1.3472863969424998e-05, + "loss": 0.9854, + "step": 2107 + }, + { + "epoch": 0.41, + "learning_rate": 1.3467017943642074e-05, + "loss": 1.0423, + "step": 2108 + }, + { + "epoch": 0.41, + "learning_rate": 1.346117057077493e-05, + "loss": 1.0343, + "step": 2109 + }, + { + "epoch": 0.41, + "learning_rate": 1.3455321853095527e-05, + "loss": 1.0368, + "step": 2110 + }, + { + "epoch": 0.41, + "learning_rate": 1.3449471792876333e-05, + "loss": 0.9235, + "step": 2111 + }, + { + "epoch": 0.41, + "learning_rate": 1.3443620392390352e-05, + "loss": 0.9928, + "step": 2112 + }, + { + "epoch": 0.41, + "learning_rate": 1.3437767653911097e-05, + "loss": 0.9954, + "step": 2113 + }, + { + "epoch": 0.41, + "learning_rate": 1.3431913579712612e-05, + "loss": 0.9347, + "step": 2114 + }, + { + "epoch": 0.41, + "learning_rate": 1.3426058172069451e-05, + "loss": 0.9595, + "step": 2115 + }, + { + "epoch": 0.41, + "learning_rate": 1.342020143325669e-05, + "loss": 0.9568, + "step": 2116 + }, + { + "epoch": 0.41, + "learning_rate": 1.341434336554992e-05, + "loss": 0.986, + "step": 2117 + }, + { + "epoch": 0.41, + "learning_rate": 1.340848397122525e-05, + "loss": 1.0172, + "step": 2118 + }, + { + "epoch": 0.41, + "learning_rate": 1.3402623252559308e-05, + "loss": 1.0289, + "step": 2119 + }, + { + "epoch": 0.41, + "learning_rate": 1.3396761211829229e-05, + "loss": 1.0382, + "step": 2120 + }, + { + "epoch": 0.41, + "learning_rate": 1.3390897851312667e-05, + "loss": 0.9928, + "step": 2121 + }, + { + "epoch": 0.41, + "learning_rate": 1.338503317328779e-05, + "loss": 0.9734, + "step": 2122 + }, + { + "epoch": 0.41, + "learning_rate": 1.3379167180033272e-05, + "loss": 0.984, + "step": 2123 + }, + { + "epoch": 0.41, + "learning_rate": 1.3373299873828303e-05, + "loss": 0.9589, + "step": 2124 + }, + { + "epoch": 0.41, + "learning_rate": 1.336743125695258e-05, + "loss": 0.9676, + "step": 2125 + }, + { + "epoch": 0.41, + "learning_rate": 1.336156133168631e-05, + "loss": 0.9453, + "step": 2126 + }, + { + "epoch": 0.41, + "learning_rate": 1.3355690100310213e-05, + "loss": 1.0124, + "step": 2127 + }, + { + "epoch": 0.41, + "learning_rate": 1.3349817565105507e-05, + "loss": 1.0044, + "step": 2128 + }, + { + "epoch": 0.41, + "learning_rate": 1.334394372835393e-05, + "loss": 1.016, + "step": 2129 + }, + { + "epoch": 0.41, + "learning_rate": 1.333806859233771e-05, + "loss": 0.8242, + "step": 2130 + }, + { + "epoch": 0.41, + "learning_rate": 1.3332192159339595e-05, + "loss": 1.0311, + "step": 2131 + }, + { + "epoch": 0.41, + "learning_rate": 1.3326314431642821e-05, + "loss": 0.9632, + "step": 2132 + }, + { + "epoch": 0.41, + "learning_rate": 1.3320435411531145e-05, + "loss": 1.0056, + "step": 2133 + }, + { + "epoch": 0.41, + "learning_rate": 1.3314555101288808e-05, + "loss": 0.9888, + "step": 2134 + }, + { + "epoch": 0.41, + "learning_rate": 1.3308673503200566e-05, + "loss": 1.0447, + "step": 2135 + }, + { + "epoch": 0.41, + "learning_rate": 1.3302790619551673e-05, + "loss": 0.9819, + "step": 2136 + }, + { + "epoch": 0.41, + "learning_rate": 1.3296906452627874e-05, + "loss": 0.9312, + "step": 2137 + }, + { + "epoch": 0.41, + "learning_rate": 1.3291021004715423e-05, + "loss": 0.8874, + "step": 2138 + }, + { + "epoch": 0.41, + "learning_rate": 1.3285134278101065e-05, + "loss": 0.9833, + "step": 2139 + }, + { + "epoch": 0.41, + "learning_rate": 1.3279246275072046e-05, + "loss": 1.0157, + "step": 2140 + }, + { + "epoch": 0.41, + "learning_rate": 1.3273356997916106e-05, + "loss": 0.9538, + "step": 2141 + }, + { + "epoch": 0.41, + "learning_rate": 1.3267466448921475e-05, + "loss": 0.9133, + "step": 2142 + }, + { + "epoch": 0.41, + "learning_rate": 1.326157463037689e-05, + "loss": 0.9723, + "step": 2143 + }, + { + "epoch": 0.41, + "learning_rate": 1.3255681544571568e-05, + "loss": 1.0411, + "step": 2144 + }, + { + "epoch": 0.41, + "learning_rate": 1.3249787193795227e-05, + "loss": 0.9636, + "step": 2145 + }, + { + "epoch": 0.41, + "learning_rate": 1.3243891580338074e-05, + "loss": 1.0075, + "step": 2146 + }, + { + "epoch": 0.41, + "learning_rate": 1.3237994706490802e-05, + "loss": 0.969, + "step": 2147 + }, + { + "epoch": 0.41, + "learning_rate": 1.3232096574544602e-05, + "loss": 0.9842, + "step": 2148 + }, + { + "epoch": 0.41, + "learning_rate": 1.3226197186791147e-05, + "loss": 0.8739, + "step": 2149 + }, + { + "epoch": 0.41, + "learning_rate": 1.3220296545522601e-05, + "loss": 0.8968, + "step": 2150 + }, + { + "epoch": 0.41, + "learning_rate": 1.3214394653031616e-05, + "loss": 0.9422, + "step": 2151 + }, + { + "epoch": 0.41, + "learning_rate": 1.320849151161133e-05, + "loss": 0.9474, + "step": 2152 + }, + { + "epoch": 0.41, + "learning_rate": 1.320258712355536e-05, + "loss": 0.9517, + "step": 2153 + }, + { + "epoch": 0.41, + "learning_rate": 1.3196681491157816e-05, + "loss": 1.0554, + "step": 2154 + }, + { + "epoch": 0.41, + "learning_rate": 1.3190774616713286e-05, + "loss": 0.9065, + "step": 2155 + }, + { + "epoch": 0.41, + "learning_rate": 1.3184866502516846e-05, + "loss": 0.9822, + "step": 2156 + }, + { + "epoch": 0.42, + "learning_rate": 1.3178957150864047e-05, + "loss": 1.0072, + "step": 2157 + }, + { + "epoch": 0.42, + "learning_rate": 1.3173046564050923e-05, + "loss": 0.9875, + "step": 2158 + }, + { + "epoch": 0.42, + "learning_rate": 1.3167134744373993e-05, + "loss": 1.003, + "step": 2159 + }, + { + "epoch": 0.42, + "learning_rate": 1.3161221694130247e-05, + "loss": 1.0172, + "step": 2160 + }, + { + "epoch": 0.42, + "learning_rate": 1.3155307415617156e-05, + "loss": 0.9938, + "step": 2161 + }, + { + "epoch": 0.42, + "learning_rate": 1.3149391911132674e-05, + "loss": 0.9465, + "step": 2162 + }, + { + "epoch": 0.42, + "learning_rate": 1.3143475182975222e-05, + "loss": 0.9377, + "step": 2163 + }, + { + "epoch": 0.42, + "learning_rate": 1.3137557233443707e-05, + "loss": 0.99, + "step": 2164 + }, + { + "epoch": 0.42, + "learning_rate": 1.3131638064837496e-05, + "loss": 0.9976, + "step": 2165 + }, + { + "epoch": 0.42, + "learning_rate": 1.3125717679456447e-05, + "loss": 1.0841, + "step": 2166 + }, + { + "epoch": 0.42, + "learning_rate": 1.3119796079600875e-05, + "loss": 0.8897, + "step": 2167 + }, + { + "epoch": 0.42, + "learning_rate": 1.3113873267571577e-05, + "loss": 0.9443, + "step": 2168 + }, + { + "epoch": 0.42, + "learning_rate": 1.310794924566982e-05, + "loss": 1.0135, + "step": 2169 + }, + { + "epoch": 0.42, + "learning_rate": 1.3102024016197337e-05, + "loss": 0.9088, + "step": 2170 + }, + { + "epoch": 0.42, + "learning_rate": 1.309609758145633e-05, + "loss": 1.0098, + "step": 2171 + }, + { + "epoch": 0.42, + "learning_rate": 1.3090169943749475e-05, + "loss": 0.9367, + "step": 2172 + }, + { + "epoch": 0.42, + "learning_rate": 1.3084241105379909e-05, + "loss": 0.9736, + "step": 2173 + }, + { + "epoch": 0.42, + "learning_rate": 1.3078311068651241e-05, + "loss": 0.9457, + "step": 2174 + }, + { + "epoch": 0.42, + "learning_rate": 1.307237983586754e-05, + "loss": 0.9422, + "step": 2175 + }, + { + "epoch": 0.42, + "learning_rate": 1.3066447409333345e-05, + "loss": 0.9897, + "step": 2176 + }, + { + "epoch": 0.42, + "learning_rate": 1.3060513791353655e-05, + "loss": 0.9452, + "step": 2177 + }, + { + "epoch": 0.42, + "learning_rate": 1.3054578984233935e-05, + "loss": 1.0254, + "step": 2178 + }, + { + "epoch": 0.42, + "learning_rate": 1.3048642990280109e-05, + "loss": 0.9851, + "step": 2179 + }, + { + "epoch": 0.42, + "learning_rate": 1.3042705811798565e-05, + "loss": 0.9553, + "step": 2180 + }, + { + "epoch": 0.42, + "learning_rate": 1.3036767451096148e-05, + "loss": 0.9233, + "step": 2181 + }, + { + "epoch": 0.42, + "learning_rate": 1.3030827910480167e-05, + "loss": 1.042, + "step": 2182 + }, + { + "epoch": 0.42, + "learning_rate": 1.3024887192258384e-05, + "loss": 0.9372, + "step": 2183 + }, + { + "epoch": 0.42, + "learning_rate": 1.3018945298739022e-05, + "loss": 0.9163, + "step": 2184 + }, + { + "epoch": 0.42, + "learning_rate": 1.301300223223076e-05, + "loss": 0.9177, + "step": 2185 + }, + { + "epoch": 0.42, + "learning_rate": 1.300705799504273e-05, + "loss": 0.959, + "step": 2186 + }, + { + "epoch": 0.42, + "learning_rate": 1.300111258948453e-05, + "loss": 0.9995, + "step": 2187 + }, + { + "epoch": 0.42, + "learning_rate": 1.2995166017866194e-05, + "loss": 1.0312, + "step": 2188 + }, + { + "epoch": 0.42, + "learning_rate": 1.2989218282498222e-05, + "loss": 0.9312, + "step": 2189 + }, + { + "epoch": 0.42, + "learning_rate": 1.2983269385691562e-05, + "loss": 1.0048, + "step": 2190 + }, + { + "epoch": 0.42, + "learning_rate": 1.2977319329757616e-05, + "loss": 0.9622, + "step": 2191 + }, + { + "epoch": 0.42, + "learning_rate": 1.2971368117008232e-05, + "loss": 1.0466, + "step": 2192 + }, + { + "epoch": 0.42, + "learning_rate": 1.296541574975571e-05, + "loss": 0.9721, + "step": 2193 + }, + { + "epoch": 0.42, + "learning_rate": 1.29594622303128e-05, + "loss": 0.9429, + "step": 2194 + }, + { + "epoch": 0.42, + "learning_rate": 1.2953507560992696e-05, + "loss": 0.9182, + "step": 2195 + }, + { + "epoch": 0.42, + "learning_rate": 1.2947551744109044e-05, + "loss": 1.0242, + "step": 2196 + }, + { + "epoch": 0.42, + "learning_rate": 1.2941594781975928e-05, + "loss": 0.9642, + "step": 2197 + }, + { + "epoch": 0.42, + "learning_rate": 1.2935636676907886e-05, + "loss": 0.9399, + "step": 2198 + }, + { + "epoch": 0.42, + "learning_rate": 1.292967743121989e-05, + "loss": 0.9449, + "step": 2199 + }, + { + "epoch": 0.42, + "learning_rate": 1.2923717047227368e-05, + "loss": 0.9841, + "step": 2200 + }, + { + "epoch": 0.42, + "learning_rate": 1.2917755527246179e-05, + "loss": 0.8993, + "step": 2201 + }, + { + "epoch": 0.42, + "learning_rate": 1.2911792873592628e-05, + "loss": 1.0407, + "step": 2202 + }, + { + "epoch": 0.42, + "learning_rate": 1.2905829088583462e-05, + "loss": 1.003, + "step": 2203 + }, + { + "epoch": 0.42, + "learning_rate": 1.2899864174535863e-05, + "loss": 0.9959, + "step": 2204 + }, + { + "epoch": 0.42, + "learning_rate": 1.2893898133767454e-05, + "loss": 0.9452, + "step": 2205 + }, + { + "epoch": 0.42, + "learning_rate": 1.28879309685963e-05, + "loss": 0.9692, + "step": 2206 + }, + { + "epoch": 0.42, + "learning_rate": 1.2881962681340894e-05, + "loss": 0.9888, + "step": 2207 + }, + { + "epoch": 0.42, + "learning_rate": 1.2875993274320173e-05, + "loss": 1.0396, + "step": 2208 + }, + { + "epoch": 0.43, + "learning_rate": 1.2870022749853508e-05, + "loss": 1.0196, + "step": 2209 + }, + { + "epoch": 0.43, + "learning_rate": 1.2864051110260697e-05, + "loss": 0.9623, + "step": 2210 + }, + { + "epoch": 0.43, + "learning_rate": 1.2858078357861979e-05, + "loss": 1.0498, + "step": 2211 + }, + { + "epoch": 0.43, + "learning_rate": 1.2852104494978024e-05, + "loss": 0.9574, + "step": 2212 + }, + { + "epoch": 0.43, + "learning_rate": 1.2846129523929929e-05, + "loss": 0.9386, + "step": 2213 + }, + { + "epoch": 0.43, + "learning_rate": 1.284015344703923e-05, + "loss": 1.0126, + "step": 2214 + }, + { + "epoch": 0.43, + "learning_rate": 1.283417626662788e-05, + "loss": 0.9364, + "step": 2215 + }, + { + "epoch": 0.43, + "learning_rate": 1.2828197985018276e-05, + "loss": 0.9163, + "step": 2216 + }, + { + "epoch": 0.43, + "learning_rate": 1.2822218604533232e-05, + "loss": 0.8718, + "step": 2217 + }, + { + "epoch": 0.43, + "learning_rate": 1.281623812749599e-05, + "loss": 0.9714, + "step": 2218 + }, + { + "epoch": 0.43, + "learning_rate": 1.2810256556230226e-05, + "loss": 0.9508, + "step": 2219 + }, + { + "epoch": 0.43, + "learning_rate": 1.2804273893060028e-05, + "loss": 0.9381, + "step": 2220 + }, + { + "epoch": 0.43, + "learning_rate": 1.2798290140309924e-05, + "loss": 0.9268, + "step": 2221 + }, + { + "epoch": 0.43, + "learning_rate": 1.2792305300304848e-05, + "loss": 1.0558, + "step": 2222 + }, + { + "epoch": 0.43, + "learning_rate": 1.278631937537017e-05, + "loss": 0.906, + "step": 2223 + }, + { + "epoch": 0.43, + "learning_rate": 1.2780332367831678e-05, + "loss": 0.9556, + "step": 2224 + }, + { + "epoch": 0.43, + "learning_rate": 1.2774344280015578e-05, + "loss": 1.0041, + "step": 2225 + }, + { + "epoch": 0.43, + "learning_rate": 1.2768355114248493e-05, + "loss": 0.9233, + "step": 2226 + }, + { + "epoch": 0.43, + "learning_rate": 1.276236487285748e-05, + "loss": 0.9527, + "step": 2227 + }, + { + "epoch": 0.43, + "learning_rate": 1.2756373558169992e-05, + "loss": 0.9528, + "step": 2228 + }, + { + "epoch": 0.43, + "learning_rate": 1.2750381172513918e-05, + "loss": 0.8891, + "step": 2229 + }, + { + "epoch": 0.43, + "learning_rate": 1.274438771821755e-05, + "loss": 0.9754, + "step": 2230 + }, + { + "epoch": 0.43, + "learning_rate": 1.2738393197609602e-05, + "loss": 1.0184, + "step": 2231 + }, + { + "epoch": 0.43, + "learning_rate": 1.2732397613019203e-05, + "loss": 0.9865, + "step": 2232 + }, + { + "epoch": 0.43, + "learning_rate": 1.272640096677589e-05, + "loss": 1.0025, + "step": 2233 + }, + { + "epoch": 0.43, + "learning_rate": 1.2720403261209615e-05, + "loss": 0.9359, + "step": 2234 + }, + { + "epoch": 0.43, + "learning_rate": 1.2714404498650743e-05, + "loss": 0.9142, + "step": 2235 + }, + { + "epoch": 0.43, + "learning_rate": 1.2708404681430054e-05, + "loss": 0.9319, + "step": 2236 + }, + { + "epoch": 0.43, + "learning_rate": 1.2702403811878727e-05, + "loss": 0.9853, + "step": 2237 + }, + { + "epoch": 0.43, + "learning_rate": 1.2696401892328356e-05, + "loss": 0.8735, + "step": 2238 + }, + { + "epoch": 0.43, + "learning_rate": 1.2690398925110943e-05, + "loss": 0.9942, + "step": 2239 + }, + { + "epoch": 0.43, + "learning_rate": 1.2684394912558898e-05, + "loss": 1.0237, + "step": 2240 + }, + { + "epoch": 0.43, + "learning_rate": 1.2678389857005033e-05, + "loss": 0.9938, + "step": 2241 + }, + { + "epoch": 0.43, + "learning_rate": 1.267238376078257e-05, + "loss": 1.004, + "step": 2242 + }, + { + "epoch": 0.43, + "learning_rate": 1.2666376626225131e-05, + "loss": 0.9635, + "step": 2243 + }, + { + "epoch": 0.43, + "learning_rate": 1.2660368455666752e-05, + "loss": 0.9481, + "step": 2244 + }, + { + "epoch": 0.43, + "learning_rate": 1.2654359251441854e-05, + "loss": 0.9823, + "step": 2245 + }, + { + "epoch": 0.43, + "learning_rate": 1.2648349015885272e-05, + "loss": 0.8428, + "step": 2246 + }, + { + "epoch": 0.43, + "learning_rate": 1.2642337751332238e-05, + "loss": 0.9837, + "step": 2247 + }, + { + "epoch": 0.43, + "learning_rate": 1.2636325460118388e-05, + "loss": 0.9636, + "step": 2248 + }, + { + "epoch": 0.43, + "learning_rate": 1.2630312144579748e-05, + "loss": 0.984, + "step": 2249 + }, + { + "epoch": 0.43, + "learning_rate": 1.262429780705275e-05, + "loss": 1.0339, + "step": 2250 + }, + { + "epoch": 0.43, + "learning_rate": 1.2618282449874221e-05, + "loss": 1.0157, + "step": 2251 + }, + { + "epoch": 0.43, + "learning_rate": 1.2612266075381385e-05, + "loss": 0.9665, + "step": 2252 + }, + { + "epoch": 0.43, + "learning_rate": 1.2606248685911856e-05, + "loss": 1.0194, + "step": 2253 + }, + { + "epoch": 0.43, + "learning_rate": 1.2600230283803648e-05, + "loss": 0.9439, + "step": 2254 + }, + { + "epoch": 0.43, + "learning_rate": 1.2594210871395164e-05, + "loss": 0.96, + "step": 2255 + }, + { + "epoch": 0.43, + "learning_rate": 1.2588190451025209e-05, + "loss": 0.8789, + "step": 2256 + }, + { + "epoch": 0.43, + "learning_rate": 1.2582169025032966e-05, + "loss": 0.9252, + "step": 2257 + }, + { + "epoch": 0.43, + "learning_rate": 1.2576146595758019e-05, + "loss": 0.8975, + "step": 2258 + }, + { + "epoch": 0.43, + "learning_rate": 1.2570123165540338e-05, + "loss": 0.9264, + "step": 2259 + }, + { + "epoch": 0.43, + "learning_rate": 1.2564098736720286e-05, + "loss": 0.8677, + "step": 2260 + }, + { + "epoch": 0.44, + "learning_rate": 1.2558073311638604e-05, + "loss": 0.924, + "step": 2261 + }, + { + "epoch": 0.44, + "learning_rate": 1.2552046892636427e-05, + "loss": 1.0275, + "step": 2262 + }, + { + "epoch": 0.44, + "learning_rate": 1.2546019482055276e-05, + "loss": 1.009, + "step": 2263 + }, + { + "epoch": 0.44, + "learning_rate": 1.2539991082237062e-05, + "loss": 0.9736, + "step": 2264 + }, + { + "epoch": 0.44, + "learning_rate": 1.2533961695524071e-05, + "loss": 0.9936, + "step": 2265 + }, + { + "epoch": 0.44, + "learning_rate": 1.2527931324258975e-05, + "loss": 0.967, + "step": 2266 + }, + { + "epoch": 0.44, + "learning_rate": 1.2521899970784834e-05, + "loss": 1.0061, + "step": 2267 + }, + { + "epoch": 0.44, + "learning_rate": 1.2515867637445088e-05, + "loss": 1.0281, + "step": 2268 + }, + { + "epoch": 0.44, + "learning_rate": 1.2509834326583548e-05, + "loss": 1.004, + "step": 2269 + }, + { + "epoch": 0.44, + "learning_rate": 1.2503800040544417e-05, + "loss": 0.9651, + "step": 2270 + }, + { + "epoch": 0.44, + "learning_rate": 1.249776478167227e-05, + "loss": 1.0218, + "step": 2271 + }, + { + "epoch": 0.44, + "learning_rate": 1.2491728552312066e-05, + "loss": 1.0012, + "step": 2272 + }, + { + "epoch": 0.44, + "learning_rate": 1.2485691354809134e-05, + "loss": 0.9676, + "step": 2273 + }, + { + "epoch": 0.44, + "learning_rate": 1.2479653191509182e-05, + "loss": 0.9635, + "step": 2274 + }, + { + "epoch": 0.44, + "learning_rate": 1.2473614064758297e-05, + "loss": 0.9979, + "step": 2275 + }, + { + "epoch": 0.44, + "learning_rate": 1.2467573976902936e-05, + "loss": 0.9467, + "step": 2276 + }, + { + "epoch": 0.44, + "learning_rate": 1.2461532930289932e-05, + "loss": 0.9679, + "step": 2277 + }, + { + "epoch": 0.44, + "learning_rate": 1.2455490927266485e-05, + "loss": 0.9085, + "step": 2278 + }, + { + "epoch": 0.44, + "learning_rate": 1.2449447970180172e-05, + "loss": 0.9731, + "step": 2279 + }, + { + "epoch": 0.44, + "learning_rate": 1.2443404061378941e-05, + "loss": 1.017, + "step": 2280 + }, + { + "epoch": 0.44, + "learning_rate": 1.2437359203211109e-05, + "loss": 1.0058, + "step": 2281 + }, + { + "epoch": 0.44, + "learning_rate": 1.2431313398025356e-05, + "loss": 0.9402, + "step": 2282 + }, + { + "epoch": 0.44, + "learning_rate": 1.242526664817074e-05, + "loss": 0.9429, + "step": 2283 + }, + { + "epoch": 0.44, + "learning_rate": 1.2419218955996677e-05, + "loss": 0.9407, + "step": 2284 + }, + { + "epoch": 0.44, + "learning_rate": 1.2413170323852959e-05, + "loss": 0.9696, + "step": 2285 + }, + { + "epoch": 0.44, + "learning_rate": 1.2407120754089733e-05, + "loss": 0.9577, + "step": 2286 + }, + { + "epoch": 0.44, + "learning_rate": 1.2401070249057514e-05, + "loss": 0.9887, + "step": 2287 + }, + { + "epoch": 0.44, + "learning_rate": 1.239501881110718e-05, + "loss": 0.8806, + "step": 2288 + }, + { + "epoch": 0.44, + "learning_rate": 1.2388966442589978e-05, + "loss": 0.9248, + "step": 2289 + }, + { + "epoch": 0.44, + "learning_rate": 1.2382913145857507e-05, + "loss": 0.9584, + "step": 2290 + }, + { + "epoch": 0.44, + "learning_rate": 1.2376858923261732e-05, + "loss": 0.9392, + "step": 2291 + }, + { + "epoch": 0.44, + "learning_rate": 1.2370803777154976e-05, + "loss": 0.9309, + "step": 2292 + }, + { + "epoch": 0.44, + "learning_rate": 1.2364747709889923e-05, + "loss": 0.9524, + "step": 2293 + }, + { + "epoch": 0.44, + "learning_rate": 1.2358690723819611e-05, + "loss": 1.0313, + "step": 2294 + }, + { + "epoch": 0.44, + "learning_rate": 1.2352632821297437e-05, + "loss": 0.9869, + "step": 2295 + }, + { + "epoch": 0.44, + "learning_rate": 1.2346574004677154e-05, + "loss": 1.0274, + "step": 2296 + }, + { + "epoch": 0.44, + "learning_rate": 1.2340514276312874e-05, + "loss": 0.9022, + "step": 2297 + }, + { + "epoch": 0.44, + "learning_rate": 1.2334453638559057e-05, + "loss": 0.9995, + "step": 2298 + }, + { + "epoch": 0.44, + "learning_rate": 1.2328392093770517e-05, + "loss": 0.991, + "step": 2299 + }, + { + "epoch": 0.44, + "learning_rate": 1.2322329644302426e-05, + "loss": 1.0172, + "step": 2300 + }, + { + "epoch": 0.44, + "learning_rate": 1.2316266292510305e-05, + "loss": 0.8707, + "step": 2301 + }, + { + "epoch": 0.44, + "learning_rate": 1.2310202040750022e-05, + "loss": 1.002, + "step": 2302 + }, + { + "epoch": 0.44, + "learning_rate": 1.2304136891377795e-05, + "loss": 0.9593, + "step": 2303 + }, + { + "epoch": 0.44, + "learning_rate": 1.2298070846750197e-05, + "loss": 1.0212, + "step": 2304 + }, + { + "epoch": 0.44, + "learning_rate": 1.2292003909224144e-05, + "loss": 0.9685, + "step": 2305 + }, + { + "epoch": 0.44, + "learning_rate": 1.2285936081156897e-05, + "loss": 0.9871, + "step": 2306 + }, + { + "epoch": 0.44, + "learning_rate": 1.227986736490607e-05, + "loss": 1.005, + "step": 2307 + }, + { + "epoch": 0.44, + "learning_rate": 1.2273797762829615e-05, + "loss": 0.9712, + "step": 2308 + }, + { + "epoch": 0.44, + "learning_rate": 1.2267727277285832e-05, + "loss": 0.9398, + "step": 2309 + }, + { + "epoch": 0.44, + "learning_rate": 1.2261655910633365e-05, + "loss": 0.9572, + "step": 2310 + }, + { + "epoch": 0.44, + "learning_rate": 1.2255583665231196e-05, + "loss": 0.8921, + "step": 2311 + }, + { + "epoch": 0.44, + "learning_rate": 1.2249510543438652e-05, + "loss": 0.9901, + "step": 2312 + }, + { + "epoch": 0.45, + "learning_rate": 1.22434365476154e-05, + "loss": 0.9442, + "step": 2313 + }, + { + "epoch": 0.45, + "learning_rate": 1.2237361680121445e-05, + "loss": 0.9666, + "step": 2314 + }, + { + "epoch": 0.45, + "learning_rate": 1.2231285943317132e-05, + "loss": 1.002, + "step": 2315 + }, + { + "epoch": 0.45, + "learning_rate": 1.2225209339563144e-05, + "loss": 1.0395, + "step": 2316 + }, + { + "epoch": 0.45, + "learning_rate": 1.2219131871220504e-05, + "loss": 1.0716, + "step": 2317 + }, + { + "epoch": 0.45, + "learning_rate": 1.2213053540650566e-05, + "loss": 0.9355, + "step": 2318 + }, + { + "epoch": 0.45, + "learning_rate": 1.2206974350215016e-05, + "loss": 0.9787, + "step": 2319 + }, + { + "epoch": 0.45, + "learning_rate": 1.2200894302275878e-05, + "loss": 0.9727, + "step": 2320 + }, + { + "epoch": 0.45, + "learning_rate": 1.2194813399195518e-05, + "loss": 0.9909, + "step": 2321 + }, + { + "epoch": 0.45, + "learning_rate": 1.2188731643336615e-05, + "loss": 0.9352, + "step": 2322 + }, + { + "epoch": 0.45, + "learning_rate": 1.2182649037062203e-05, + "loss": 0.9128, + "step": 2323 + }, + { + "epoch": 0.45, + "learning_rate": 1.2176565582735624e-05, + "loss": 0.9179, + "step": 2324 + }, + { + "epoch": 0.45, + "learning_rate": 1.2170481282720563e-05, + "loss": 1.0139, + "step": 2325 + }, + { + "epoch": 0.45, + "learning_rate": 1.2164396139381029e-05, + "loss": 0.9708, + "step": 2326 + }, + { + "epoch": 0.45, + "learning_rate": 1.215831015508136e-05, + "loss": 0.979, + "step": 2327 + }, + { + "epoch": 0.45, + "learning_rate": 1.2152223332186222e-05, + "loss": 0.9958, + "step": 2328 + }, + { + "epoch": 0.45, + "learning_rate": 1.2146135673060599e-05, + "loss": 0.8749, + "step": 2329 + }, + { + "epoch": 0.45, + "learning_rate": 1.2140047180069814e-05, + "loss": 0.8829, + "step": 2330 + }, + { + "epoch": 0.45, + "learning_rate": 1.2133957855579501e-05, + "loss": 0.9934, + "step": 2331 + }, + { + "epoch": 0.45, + "learning_rate": 1.2127867701955622e-05, + "loss": 0.9261, + "step": 2332 + }, + { + "epoch": 0.45, + "learning_rate": 1.2121776721564465e-05, + "loss": 0.9879, + "step": 2333 + }, + { + "epoch": 0.45, + "learning_rate": 1.211568491677263e-05, + "loss": 0.85, + "step": 2334 + }, + { + "epoch": 0.45, + "learning_rate": 1.2109592289947045e-05, + "loss": 0.9875, + "step": 2335 + }, + { + "epoch": 0.45, + "learning_rate": 1.210349884345496e-05, + "loss": 0.9359, + "step": 2336 + }, + { + "epoch": 0.45, + "learning_rate": 1.209740457966393e-05, + "loss": 1.0118, + "step": 2337 + }, + { + "epoch": 0.45, + "learning_rate": 1.2091309500941841e-05, + "loss": 0.9707, + "step": 2338 + }, + { + "epoch": 0.45, + "learning_rate": 1.2085213609656891e-05, + "loss": 0.9851, + "step": 2339 + }, + { + "epoch": 0.45, + "learning_rate": 1.2079116908177592e-05, + "loss": 0.8573, + "step": 2340 + }, + { + "epoch": 0.45, + "learning_rate": 1.2073019398872778e-05, + "loss": 0.9559, + "step": 2341 + }, + { + "epoch": 0.45, + "learning_rate": 1.2066921084111582e-05, + "loss": 0.9488, + "step": 2342 + }, + { + "epoch": 0.45, + "learning_rate": 1.2060821966263465e-05, + "loss": 0.9111, + "step": 2343 + }, + { + "epoch": 0.45, + "learning_rate": 1.2054722047698192e-05, + "loss": 1.0469, + "step": 2344 + }, + { + "epoch": 0.45, + "learning_rate": 1.2048621330785842e-05, + "loss": 0.9261, + "step": 2345 + }, + { + "epoch": 0.45, + "learning_rate": 1.2042519817896805e-05, + "loss": 1.0171, + "step": 2346 + }, + { + "epoch": 0.45, + "learning_rate": 1.2036417511401775e-05, + "loss": 0.9688, + "step": 2347 + }, + { + "epoch": 0.45, + "learning_rate": 1.2030314413671763e-05, + "loss": 0.9314, + "step": 2348 + }, + { + "epoch": 0.45, + "learning_rate": 1.202421052707808e-05, + "loss": 1.0407, + "step": 2349 + }, + { + "epoch": 0.45, + "learning_rate": 1.2018105853992346e-05, + "loss": 1.0235, + "step": 2350 + }, + { + "epoch": 0.45, + "learning_rate": 1.2012000396786485e-05, + "loss": 0.9326, + "step": 2351 + }, + { + "epoch": 0.45, + "learning_rate": 1.200589415783273e-05, + "loss": 0.9813, + "step": 2352 + }, + { + "epoch": 0.45, + "learning_rate": 1.1999787139503614e-05, + "loss": 0.9543, + "step": 2353 + }, + { + "epoch": 0.45, + "learning_rate": 1.1993679344171973e-05, + "loss": 1.0157, + "step": 2354 + }, + { + "epoch": 0.45, + "learning_rate": 1.1987570774210948e-05, + "loss": 1.0901, + "step": 2355 + }, + { + "epoch": 0.45, + "learning_rate": 1.1981461431993978e-05, + "loss": 1.0164, + "step": 2356 + }, + { + "epoch": 0.45, + "learning_rate": 1.1975351319894801e-05, + "loss": 0.9261, + "step": 2357 + }, + { + "epoch": 0.45, + "learning_rate": 1.1969240440287457e-05, + "loss": 0.929, + "step": 2358 + }, + { + "epoch": 0.45, + "learning_rate": 1.1963128795546286e-05, + "loss": 0.9487, + "step": 2359 + }, + { + "epoch": 0.45, + "learning_rate": 1.1957016388045917e-05, + "loss": 0.9195, + "step": 2360 + }, + { + "epoch": 0.45, + "learning_rate": 1.1950903220161286e-05, + "loss": 0.8801, + "step": 2361 + }, + { + "epoch": 0.45, + "learning_rate": 1.1944789294267614e-05, + "loss": 1.0071, + "step": 2362 + }, + { + "epoch": 0.45, + "learning_rate": 1.1938674612740424e-05, + "loss": 0.9616, + "step": 2363 + }, + { + "epoch": 0.45, + "learning_rate": 1.1932559177955533e-05, + "loss": 1.0268, + "step": 2364 + }, + { + "epoch": 0.46, + "learning_rate": 1.1926442992289047e-05, + "loss": 0.903, + "step": 2365 + }, + { + "epoch": 0.46, + "learning_rate": 1.1920326058117364e-05, + "loss": 1.0529, + "step": 2366 + }, + { + "epoch": 0.46, + "learning_rate": 1.1914208377817171e-05, + "loss": 0.9254, + "step": 2367 + }, + { + "epoch": 0.46, + "learning_rate": 1.190808995376545e-05, + "loss": 0.9591, + "step": 2368 + }, + { + "epoch": 0.46, + "learning_rate": 1.190197078833947e-05, + "loss": 0.9576, + "step": 2369 + }, + { + "epoch": 0.46, + "learning_rate": 1.1895850883916786e-05, + "loss": 0.9439, + "step": 2370 + }, + { + "epoch": 0.46, + "learning_rate": 1.1889730242875243e-05, + "loss": 0.9969, + "step": 2371 + }, + { + "epoch": 0.46, + "learning_rate": 1.188360886759297e-05, + "loss": 0.9885, + "step": 2372 + }, + { + "epoch": 0.46, + "learning_rate": 1.1877486760448382e-05, + "loss": 0.9112, + "step": 2373 + }, + { + "epoch": 0.46, + "learning_rate": 1.1871363923820182e-05, + "loss": 0.9724, + "step": 2374 + }, + { + "epoch": 0.46, + "learning_rate": 1.1865240360087349e-05, + "loss": 1.0084, + "step": 2375 + }, + { + "epoch": 0.46, + "learning_rate": 1.1859116071629148e-05, + "loss": 0.998, + "step": 2376 + }, + { + "epoch": 0.46, + "learning_rate": 1.1852991060825128e-05, + "loss": 0.9261, + "step": 2377 + }, + { + "epoch": 0.46, + "learning_rate": 1.1846865330055115e-05, + "loss": 0.9742, + "step": 2378 + }, + { + "epoch": 0.46, + "learning_rate": 1.1840738881699218e-05, + "loss": 0.9785, + "step": 2379 + }, + { + "epoch": 0.46, + "learning_rate": 1.1834611718137825e-05, + "loss": 1.0256, + "step": 2380 + }, + { + "epoch": 0.46, + "learning_rate": 1.1828483841751597e-05, + "loss": 0.9933, + "step": 2381 + }, + { + "epoch": 0.46, + "learning_rate": 1.1822355254921478e-05, + "loss": 0.8681, + "step": 2382 + }, + { + "epoch": 0.46, + "learning_rate": 1.181622596002868e-05, + "loss": 1.022, + "step": 2383 + }, + { + "epoch": 0.46, + "learning_rate": 1.18100959594547e-05, + "loss": 0.9649, + "step": 2384 + }, + { + "epoch": 0.46, + "learning_rate": 1.1803965255581304e-05, + "loss": 0.9498, + "step": 2385 + }, + { + "epoch": 0.46, + "learning_rate": 1.1797833850790527e-05, + "loss": 0.9956, + "step": 2386 + }, + { + "epoch": 0.46, + "learning_rate": 1.179170174746469e-05, + "loss": 0.9847, + "step": 2387 + }, + { + "epoch": 0.46, + "learning_rate": 1.1785568947986368e-05, + "loss": 0.9506, + "step": 2388 + }, + { + "epoch": 0.46, + "learning_rate": 1.177943545473842e-05, + "loss": 0.9233, + "step": 2389 + }, + { + "epoch": 0.46, + "learning_rate": 1.1773301270103968e-05, + "loss": 0.9418, + "step": 2390 + }, + { + "epoch": 0.46, + "learning_rate": 1.1767166396466404e-05, + "loss": 0.9457, + "step": 2391 + }, + { + "epoch": 0.46, + "learning_rate": 1.1761030836209384e-05, + "loss": 0.8994, + "step": 2392 + }, + { + "epoch": 0.46, + "learning_rate": 1.1754894591716841e-05, + "loss": 0.8751, + "step": 2393 + }, + { + "epoch": 0.46, + "learning_rate": 1.1748757665372965e-05, + "loss": 0.968, + "step": 2394 + }, + { + "epoch": 0.46, + "learning_rate": 1.1742620059562211e-05, + "loss": 0.9505, + "step": 2395 + }, + { + "epoch": 0.46, + "learning_rate": 1.1736481776669307e-05, + "loss": 0.977, + "step": 2396 + }, + { + "epoch": 0.46, + "learning_rate": 1.1730342819079229e-05, + "loss": 0.9488, + "step": 2397 + }, + { + "epoch": 0.46, + "learning_rate": 1.1724203189177228e-05, + "loss": 1.0422, + "step": 2398 + }, + { + "epoch": 0.46, + "learning_rate": 1.1718062889348816e-05, + "loss": 1.0432, + "step": 2399 + }, + { + "epoch": 0.46, + "learning_rate": 1.1711921921979754e-05, + "loss": 0.9395, + "step": 2400 + }, + { + "epoch": 0.46, + "learning_rate": 1.1705780289456069e-05, + "loss": 0.8883, + "step": 2401 + }, + { + "epoch": 0.46, + "learning_rate": 1.1699637994164053e-05, + "loss": 0.9868, + "step": 2402 + }, + { + "epoch": 0.46, + "learning_rate": 1.1693495038490247e-05, + "loss": 0.9567, + "step": 2403 + }, + { + "epoch": 0.46, + "learning_rate": 1.1687351424821448e-05, + "loss": 0.8585, + "step": 2404 + }, + { + "epoch": 0.46, + "learning_rate": 1.168120715554472e-05, + "loss": 0.9037, + "step": 2405 + }, + { + "epoch": 0.46, + "learning_rate": 1.1675062233047365e-05, + "loss": 0.8582, + "step": 2406 + }, + { + "epoch": 0.46, + "learning_rate": 1.166891665971695e-05, + "loss": 0.8686, + "step": 2407 + }, + { + "epoch": 0.46, + "learning_rate": 1.1662770437941293e-05, + "loss": 0.9296, + "step": 2408 + }, + { + "epoch": 0.46, + "learning_rate": 1.165662357010846e-05, + "loss": 0.95, + "step": 2409 + }, + { + "epoch": 0.46, + "learning_rate": 1.1650476058606776e-05, + "loss": 0.9872, + "step": 2410 + }, + { + "epoch": 0.46, + "learning_rate": 1.1644327905824808e-05, + "loss": 0.9749, + "step": 2411 + }, + { + "epoch": 0.46, + "learning_rate": 1.1638179114151378e-05, + "loss": 1.005, + "step": 2412 + }, + { + "epoch": 0.46, + "learning_rate": 1.163202968597555e-05, + "loss": 0.9894, + "step": 2413 + }, + { + "epoch": 0.46, + "learning_rate": 1.162587962368664e-05, + "loss": 1.0961, + "step": 2414 + }, + { + "epoch": 0.46, + "learning_rate": 1.161972892967421e-05, + "loss": 0.9433, + "step": 2415 + }, + { + "epoch": 0.46, + "learning_rate": 1.1613577606328068e-05, + "loss": 0.9843, + "step": 2416 + }, + { + "epoch": 0.47, + "learning_rate": 1.1607425656038263e-05, + "loss": 0.9467, + "step": 2417 + }, + { + "epoch": 0.47, + "learning_rate": 1.1601273081195087e-05, + "loss": 0.9989, + "step": 2418 + }, + { + "epoch": 0.47, + "learning_rate": 1.1595119884189085e-05, + "loss": 0.9473, + "step": 2419 + }, + { + "epoch": 0.47, + "learning_rate": 1.1588966067411033e-05, + "loss": 1.0187, + "step": 2420 + }, + { + "epoch": 0.47, + "learning_rate": 1.1582811633251949e-05, + "loss": 0.8856, + "step": 2421 + }, + { + "epoch": 0.47, + "learning_rate": 1.1576656584103097e-05, + "loss": 1.04, + "step": 2422 + }, + { + "epoch": 0.47, + "learning_rate": 1.1570500922355971e-05, + "loss": 0.9232, + "step": 2423 + }, + { + "epoch": 0.47, + "learning_rate": 1.156434465040231e-05, + "loss": 0.9979, + "step": 2424 + }, + { + "epoch": 0.47, + "learning_rate": 1.1558187770634089e-05, + "loss": 0.9758, + "step": 2425 + }, + { + "epoch": 0.47, + "learning_rate": 1.1552030285443516e-05, + "loss": 0.8717, + "step": 2426 + }, + { + "epoch": 0.47, + "learning_rate": 1.1545872197223039e-05, + "loss": 1.0527, + "step": 2427 + }, + { + "epoch": 0.47, + "learning_rate": 1.1539713508365336e-05, + "loss": 0.9208, + "step": 2428 + }, + { + "epoch": 0.47, + "learning_rate": 1.153355422126332e-05, + "loss": 0.9458, + "step": 2429 + }, + { + "epoch": 0.47, + "learning_rate": 1.152739433831014e-05, + "loss": 0.9611, + "step": 2430 + }, + { + "epoch": 0.47, + "learning_rate": 1.1521233861899168e-05, + "loss": 1.0154, + "step": 2431 + }, + { + "epoch": 0.47, + "learning_rate": 1.1515072794424013e-05, + "loss": 0.9556, + "step": 2432 + }, + { + "epoch": 0.47, + "learning_rate": 1.1508911138278516e-05, + "loss": 0.9938, + "step": 2433 + }, + { + "epoch": 0.47, + "learning_rate": 1.1502748895856737e-05, + "loss": 0.9943, + "step": 2434 + }, + { + "epoch": 0.47, + "learning_rate": 1.1496586069552973e-05, + "loss": 0.9884, + "step": 2435 + }, + { + "epoch": 0.47, + "learning_rate": 1.1490422661761744e-05, + "loss": 0.9636, + "step": 2436 + }, + { + "epoch": 0.47, + "learning_rate": 1.14842586748778e-05, + "loss": 1.0228, + "step": 2437 + }, + { + "epoch": 0.47, + "learning_rate": 1.1478094111296109e-05, + "loss": 0.9197, + "step": 2438 + }, + { + "epoch": 0.47, + "learning_rate": 1.1471928973411865e-05, + "loss": 0.9121, + "step": 2439 + }, + { + "epoch": 0.47, + "learning_rate": 1.146576326362049e-05, + "loss": 0.9997, + "step": 2440 + }, + { + "epoch": 0.47, + "learning_rate": 1.1459596984317622e-05, + "loss": 0.9907, + "step": 2441 + }, + { + "epoch": 0.47, + "learning_rate": 1.1453430137899129e-05, + "loss": 0.9576, + "step": 2442 + }, + { + "epoch": 0.47, + "learning_rate": 1.1447262726761088e-05, + "loss": 0.8893, + "step": 2443 + }, + { + "epoch": 0.47, + "learning_rate": 1.1441094753299802e-05, + "loss": 0.943, + "step": 2444 + }, + { + "epoch": 0.47, + "learning_rate": 1.1434926219911792e-05, + "loss": 0.9175, + "step": 2445 + }, + { + "epoch": 0.47, + "learning_rate": 1.1428757128993801e-05, + "loss": 1.011, + "step": 2446 + }, + { + "epoch": 0.47, + "learning_rate": 1.1422587482942778e-05, + "loss": 0.9831, + "step": 2447 + }, + { + "epoch": 0.47, + "learning_rate": 1.1416417284155892e-05, + "loss": 0.9024, + "step": 2448 + }, + { + "epoch": 0.47, + "learning_rate": 1.1410246535030533e-05, + "loss": 0.9432, + "step": 2449 + }, + { + "epoch": 0.47, + "learning_rate": 1.1404075237964296e-05, + "loss": 0.9703, + "step": 2450 + }, + { + "epoch": 0.47, + "learning_rate": 1.1397903395354996e-05, + "loss": 1.0746, + "step": 2451 + }, + { + "epoch": 0.47, + "learning_rate": 1.1391731009600655e-05, + "loss": 1.0029, + "step": 2452 + }, + { + "epoch": 0.47, + "learning_rate": 1.138555808309951e-05, + "loss": 0.919, + "step": 2453 + }, + { + "epoch": 0.47, + "learning_rate": 1.1379384618250002e-05, + "loss": 0.9633, + "step": 2454 + }, + { + "epoch": 0.47, + "learning_rate": 1.1373210617450793e-05, + "loss": 0.9468, + "step": 2455 + }, + { + "epoch": 0.47, + "learning_rate": 1.1367036083100735e-05, + "loss": 0.9668, + "step": 2456 + }, + { + "epoch": 0.47, + "learning_rate": 1.1360861017598905e-05, + "loss": 0.9947, + "step": 2457 + }, + { + "epoch": 0.47, + "learning_rate": 1.1354685423344577e-05, + "loss": 1.0092, + "step": 2458 + }, + { + "epoch": 0.47, + "learning_rate": 1.1348509302737232e-05, + "loss": 0.9841, + "step": 2459 + }, + { + "epoch": 0.47, + "learning_rate": 1.1342332658176556e-05, + "loss": 0.9953, + "step": 2460 + }, + { + "epoch": 0.47, + "learning_rate": 1.1336155492062439e-05, + "loss": 0.917, + "step": 2461 + }, + { + "epoch": 0.47, + "learning_rate": 1.1329977806794976e-05, + "loss": 0.8684, + "step": 2462 + }, + { + "epoch": 0.47, + "learning_rate": 1.1323799604774457e-05, + "loss": 0.9702, + "step": 2463 + }, + { + "epoch": 0.47, + "learning_rate": 1.1317620888401379e-05, + "loss": 1.0047, + "step": 2464 + }, + { + "epoch": 0.47, + "learning_rate": 1.1311441660076433e-05, + "loss": 1.0077, + "step": 2465 + }, + { + "epoch": 0.47, + "learning_rate": 1.130526192220052e-05, + "loss": 0.8574, + "step": 2466 + }, + { + "epoch": 0.47, + "learning_rate": 1.1299081677174721e-05, + "loss": 0.9629, + "step": 2467 + }, + { + "epoch": 0.47, + "learning_rate": 1.1292900927400334e-05, + "loss": 0.9336, + "step": 2468 + }, + { + "epoch": 0.48, + "learning_rate": 1.1286719675278838e-05, + "loss": 0.9438, + "step": 2469 + }, + { + "epoch": 0.48, + "learning_rate": 1.1280537923211919e-05, + "loss": 0.9411, + "step": 2470 + }, + { + "epoch": 0.48, + "learning_rate": 1.1274355673601446e-05, + "loss": 0.9277, + "step": 2471 + }, + { + "epoch": 0.48, + "learning_rate": 1.1268172928849486e-05, + "loss": 0.9391, + "step": 2472 + }, + { + "epoch": 0.48, + "learning_rate": 1.12619896913583e-05, + "loss": 1.0487, + "step": 2473 + }, + { + "epoch": 0.48, + "learning_rate": 1.1255805963530339e-05, + "loss": 0.9579, + "step": 2474 + }, + { + "epoch": 0.48, + "learning_rate": 1.1249621747768247e-05, + "loss": 0.9427, + "step": 2475 + }, + { + "epoch": 0.48, + "learning_rate": 1.1243437046474854e-05, + "loss": 0.9281, + "step": 2476 + }, + { + "epoch": 0.48, + "learning_rate": 1.1237251862053178e-05, + "loss": 0.9826, + "step": 2477 + }, + { + "epoch": 0.48, + "learning_rate": 1.123106619690643e-05, + "loss": 1.0262, + "step": 2478 + }, + { + "epoch": 0.48, + "learning_rate": 1.1224880053438006e-05, + "loss": 0.9945, + "step": 2479 + }, + { + "epoch": 0.48, + "learning_rate": 1.1218693434051475e-05, + "loss": 0.9756, + "step": 2480 + }, + { + "epoch": 0.48, + "learning_rate": 1.1212506341150615e-05, + "loss": 0.9705, + "step": 2481 + }, + { + "epoch": 0.48, + "learning_rate": 1.120631877713937e-05, + "loss": 1.0201, + "step": 2482 + }, + { + "epoch": 0.48, + "learning_rate": 1.1200130744421877e-05, + "loss": 1.0338, + "step": 2483 + }, + { + "epoch": 0.48, + "learning_rate": 1.1193942245402443e-05, + "loss": 0.9452, + "step": 2484 + }, + { + "epoch": 0.48, + "learning_rate": 1.1187753282485569e-05, + "loss": 0.9167, + "step": 2485 + }, + { + "epoch": 0.48, + "learning_rate": 1.118156385807593e-05, + "loss": 0.9596, + "step": 2486 + }, + { + "epoch": 0.48, + "learning_rate": 1.1175373974578378e-05, + "loss": 0.9702, + "step": 2487 + }, + { + "epoch": 0.48, + "learning_rate": 1.1169183634397948e-05, + "loss": 1.0429, + "step": 2488 + }, + { + "epoch": 0.48, + "learning_rate": 1.1162992839939852e-05, + "loss": 0.9752, + "step": 2489 + }, + { + "epoch": 0.48, + "learning_rate": 1.1156801593609479e-05, + "loss": 0.9785, + "step": 2490 + }, + { + "epoch": 0.48, + "learning_rate": 1.1150609897812387e-05, + "loss": 0.9999, + "step": 2491 + }, + { + "epoch": 0.48, + "learning_rate": 1.114441775495432e-05, + "loss": 0.95, + "step": 2492 + }, + { + "epoch": 0.48, + "learning_rate": 1.1138225167441186e-05, + "loss": 0.9521, + "step": 2493 + }, + { + "epoch": 0.48, + "learning_rate": 1.113203213767907e-05, + "loss": 0.9543, + "step": 2494 + }, + { + "epoch": 0.48, + "learning_rate": 1.1125838668074225e-05, + "loss": 0.9576, + "step": 2495 + }, + { + "epoch": 0.48, + "learning_rate": 1.1119644761033079e-05, + "loss": 0.9658, + "step": 2496 + }, + { + "epoch": 0.48, + "learning_rate": 1.1113450418962233e-05, + "loss": 1.0068, + "step": 2497 + }, + { + "epoch": 0.48, + "learning_rate": 1.1107255644268448e-05, + "loss": 0.8946, + "step": 2498 + }, + { + "epoch": 0.48, + "learning_rate": 1.110106043935866e-05, + "loss": 0.9828, + "step": 2499 + }, + { + "epoch": 0.48, + "learning_rate": 1.1094864806639971e-05, + "loss": 0.9584, + "step": 2500 + }, + { + "epoch": 0.48, + "learning_rate": 1.1088668748519646e-05, + "loss": 0.8773, + "step": 2501 + }, + { + "epoch": 0.48, + "learning_rate": 1.1082472267405123e-05, + "loss": 0.9035, + "step": 2502 + }, + { + "epoch": 0.48, + "learning_rate": 1.107627536570399e-05, + "loss": 0.9897, + "step": 2503 + }, + { + "epoch": 0.48, + "learning_rate": 1.1070078045824014e-05, + "loss": 1.0054, + "step": 2504 + }, + { + "epoch": 0.48, + "learning_rate": 1.1063880310173114e-05, + "loss": 0.9507, + "step": 2505 + }, + { + "epoch": 0.48, + "learning_rate": 1.105768216115938e-05, + "loss": 1.0118, + "step": 2506 + }, + { + "epoch": 0.48, + "learning_rate": 1.1051483601191051e-05, + "loss": 0.8707, + "step": 2507 + }, + { + "epoch": 0.48, + "learning_rate": 1.1045284632676535e-05, + "loss": 0.9299, + "step": 2508 + }, + { + "epoch": 0.48, + "learning_rate": 1.1039085258024396e-05, + "loss": 0.9679, + "step": 2509 + }, + { + "epoch": 0.48, + "learning_rate": 1.1032885479643351e-05, + "loss": 1.0162, + "step": 2510 + }, + { + "epoch": 0.48, + "learning_rate": 1.1026685299942286e-05, + "loss": 1.0074, + "step": 2511 + }, + { + "epoch": 0.48, + "learning_rate": 1.1020484721330227e-05, + "loss": 0.9863, + "step": 2512 + }, + { + "epoch": 0.48, + "learning_rate": 1.1014283746216366e-05, + "loss": 0.9205, + "step": 2513 + }, + { + "epoch": 0.48, + "learning_rate": 1.1008082377010045e-05, + "loss": 0.9506, + "step": 2514 + }, + { + "epoch": 0.48, + "learning_rate": 1.1001880616120764e-05, + "loss": 1.0219, + "step": 2515 + }, + { + "epoch": 0.48, + "learning_rate": 1.0995678465958168e-05, + "loss": 1.0758, + "step": 2516 + }, + { + "epoch": 0.48, + "learning_rate": 1.0989475928932057e-05, + "loss": 0.9819, + "step": 2517 + }, + { + "epoch": 0.48, + "learning_rate": 1.098327300745238e-05, + "loss": 0.9826, + "step": 2518 + }, + { + "epoch": 0.48, + "learning_rate": 1.0977069703929242e-05, + "loss": 0.9842, + "step": 2519 + }, + { + "epoch": 0.48, + "learning_rate": 1.0970866020772884e-05, + "loss": 1.0143, + "step": 2520 + }, + { + "epoch": 0.49, + "learning_rate": 1.0964661960393703e-05, + "loss": 0.9762, + "step": 2521 + }, + { + "epoch": 0.49, + "learning_rate": 1.0958457525202241e-05, + "loss": 0.9222, + "step": 2522 + }, + { + "epoch": 0.49, + "learning_rate": 1.0952252717609188e-05, + "loss": 1.0413, + "step": 2523 + }, + { + "epoch": 0.49, + "learning_rate": 1.0946047540025373e-05, + "loss": 0.9197, + "step": 2524 + }, + { + "epoch": 0.49, + "learning_rate": 1.0939841994861773e-05, + "loss": 0.9817, + "step": 2525 + }, + { + "epoch": 0.49, + "learning_rate": 1.0933636084529507e-05, + "loss": 1.0209, + "step": 2526 + }, + { + "epoch": 0.49, + "learning_rate": 1.0927429811439838e-05, + "loss": 0.9748, + "step": 2527 + }, + { + "epoch": 0.49, + "learning_rate": 1.0921223178004163e-05, + "loss": 0.8672, + "step": 2528 + }, + { + "epoch": 0.49, + "learning_rate": 1.0915016186634027e-05, + "loss": 0.9817, + "step": 2529 + }, + { + "epoch": 0.49, + "learning_rate": 1.0908808839741108e-05, + "loss": 0.945, + "step": 2530 + }, + { + "epoch": 0.49, + "learning_rate": 1.0902601139737225e-05, + "loss": 0.9231, + "step": 2531 + }, + { + "epoch": 0.49, + "learning_rate": 1.0896393089034336e-05, + "loss": 1.0096, + "step": 2532 + }, + { + "epoch": 0.49, + "learning_rate": 1.0890184690044534e-05, + "loss": 0.9482, + "step": 2533 + }, + { + "epoch": 0.49, + "learning_rate": 1.0883975945180043e-05, + "loss": 0.8688, + "step": 2534 + }, + { + "epoch": 0.49, + "learning_rate": 1.0877766856853227e-05, + "loss": 0.9239, + "step": 2535 + }, + { + "epoch": 0.49, + "learning_rate": 1.0871557427476585e-05, + "loss": 0.9824, + "step": 2536 + }, + { + "epoch": 0.49, + "learning_rate": 1.0865347659462737e-05, + "loss": 1.0052, + "step": 2537 + }, + { + "epoch": 0.49, + "learning_rate": 1.0859137555224448e-05, + "loss": 0.9793, + "step": 2538 + }, + { + "epoch": 0.49, + "learning_rate": 1.0852927117174607e-05, + "loss": 0.9313, + "step": 2539 + }, + { + "epoch": 0.49, + "learning_rate": 1.0846716347726233e-05, + "loss": 0.9333, + "step": 2540 + }, + { + "epoch": 0.49, + "learning_rate": 1.0840505249292477e-05, + "loss": 0.9385, + "step": 2541 + }, + { + "epoch": 0.49, + "learning_rate": 1.0834293824286612e-05, + "loss": 0.9088, + "step": 2542 + }, + { + "epoch": 0.49, + "learning_rate": 1.0828082075122044e-05, + "loss": 0.9661, + "step": 2543 + }, + { + "epoch": 0.49, + "learning_rate": 1.0821870004212305e-05, + "loss": 0.9116, + "step": 2544 + }, + { + "epoch": 0.49, + "learning_rate": 1.081565761397104e-05, + "loss": 0.9785, + "step": 2545 + }, + { + "epoch": 0.49, + "learning_rate": 1.0809444906812034e-05, + "loss": 1.0163, + "step": 2546 + }, + { + "epoch": 0.49, + "learning_rate": 1.0803231885149191e-05, + "loss": 1.0052, + "step": 2547 + }, + { + "epoch": 0.49, + "learning_rate": 1.0797018551396527e-05, + "loss": 0.9188, + "step": 2548 + }, + { + "epoch": 0.49, + "learning_rate": 1.0790804907968194e-05, + "loss": 0.9635, + "step": 2549 + }, + { + "epoch": 0.49, + "learning_rate": 1.0784590957278452e-05, + "loss": 0.8841, + "step": 2550 + }, + { + "epoch": 0.49, + "learning_rate": 1.0778376701741688e-05, + "loss": 0.9629, + "step": 2551 + }, + { + "epoch": 0.49, + "learning_rate": 1.0772162143772407e-05, + "loss": 0.9791, + "step": 2552 + }, + { + "epoch": 0.49, + "learning_rate": 1.0765947285785228e-05, + "loss": 0.9177, + "step": 2553 + }, + { + "epoch": 0.49, + "learning_rate": 1.0759732130194887e-05, + "loss": 0.9913, + "step": 2554 + }, + { + "epoch": 0.49, + "learning_rate": 1.0753516679416237e-05, + "loss": 1.0194, + "step": 2555 + }, + { + "epoch": 0.49, + "learning_rate": 1.0747300935864245e-05, + "loss": 0.8422, + "step": 2556 + }, + { + "epoch": 0.49, + "learning_rate": 1.0741084901953995e-05, + "loss": 0.9499, + "step": 2557 + }, + { + "epoch": 0.49, + "learning_rate": 1.0734868580100677e-05, + "loss": 0.9744, + "step": 2558 + }, + { + "epoch": 0.49, + "learning_rate": 1.0728651972719603e-05, + "loss": 0.8688, + "step": 2559 + }, + { + "epoch": 0.49, + "learning_rate": 1.0722435082226186e-05, + "loss": 0.8535, + "step": 2560 + }, + { + "epoch": 0.49, + "learning_rate": 1.0716217911035952e-05, + "loss": 0.9907, + "step": 2561 + }, + { + "epoch": 0.49, + "learning_rate": 1.0710000461564535e-05, + "loss": 0.8831, + "step": 2562 + }, + { + "epoch": 0.49, + "learning_rate": 1.0703782736227688e-05, + "loss": 0.882, + "step": 2563 + }, + { + "epoch": 0.49, + "learning_rate": 1.0697564737441254e-05, + "loss": 0.9691, + "step": 2564 + }, + { + "epoch": 0.49, + "learning_rate": 1.0691346467621192e-05, + "loss": 1.0135, + "step": 2565 + }, + { + "epoch": 0.49, + "learning_rate": 1.0685127929183567e-05, + "loss": 0.9058, + "step": 2566 + }, + { + "epoch": 0.49, + "learning_rate": 1.0678909124544548e-05, + "loss": 0.9476, + "step": 2567 + }, + { + "epoch": 0.49, + "learning_rate": 1.0672690056120398e-05, + "loss": 0.9509, + "step": 2568 + }, + { + "epoch": 0.49, + "learning_rate": 1.0666470726327496e-05, + "loss": 0.9762, + "step": 2569 + }, + { + "epoch": 0.49, + "learning_rate": 1.0660251137582316e-05, + "loss": 0.9539, + "step": 2570 + }, + { + "epoch": 0.49, + "learning_rate": 1.0654031292301432e-05, + "loss": 0.9284, + "step": 2571 + }, + { + "epoch": 0.49, + "learning_rate": 1.0647811192901518e-05, + "loss": 1.0188, + "step": 2572 + }, + { + "epoch": 0.5, + "learning_rate": 1.0641590841799352e-05, + "loss": 0.9983, + "step": 2573 + }, + { + "epoch": 0.5, + "learning_rate": 1.0635370241411803e-05, + "loss": 0.9671, + "step": 2574 + }, + { + "epoch": 0.5, + "learning_rate": 1.0629149394155837e-05, + "loss": 1.0871, + "step": 2575 + }, + { + "epoch": 0.5, + "learning_rate": 1.0622928302448523e-05, + "loss": 0.9729, + "step": 2576 + }, + { + "epoch": 0.5, + "learning_rate": 1.0616706968707015e-05, + "loss": 0.9189, + "step": 2577 + }, + { + "epoch": 0.5, + "learning_rate": 1.0610485395348571e-05, + "loss": 0.9481, + "step": 2578 + }, + { + "epoch": 0.5, + "learning_rate": 1.0604263584790534e-05, + "loss": 0.9535, + "step": 2579 + }, + { + "epoch": 0.5, + "learning_rate": 1.0598041539450344e-05, + "loss": 0.9321, + "step": 2580 + }, + { + "epoch": 0.5, + "learning_rate": 1.0591819261745528e-05, + "loss": 0.9534, + "step": 2581 + }, + { + "epoch": 0.5, + "learning_rate": 1.0585596754093712e-05, + "loss": 0.9431, + "step": 2582 + }, + { + "epoch": 0.5, + "learning_rate": 1.0579374018912602e-05, + "loss": 0.8829, + "step": 2583 + }, + { + "epoch": 0.5, + "learning_rate": 1.0573151058619994e-05, + "loss": 1.005, + "step": 2584 + }, + { + "epoch": 0.5, + "learning_rate": 1.0566927875633776e-05, + "loss": 0.9493, + "step": 2585 + }, + { + "epoch": 0.5, + "learning_rate": 1.0560704472371919e-05, + "loss": 0.9584, + "step": 2586 + }, + { + "epoch": 0.5, + "learning_rate": 1.055448085125248e-05, + "loss": 0.9619, + "step": 2587 + }, + { + "epoch": 0.5, + "learning_rate": 1.0548257014693602e-05, + "loss": 0.9481, + "step": 2588 + }, + { + "epoch": 0.5, + "learning_rate": 1.0542032965113508e-05, + "loss": 0.9598, + "step": 2589 + }, + { + "epoch": 0.5, + "learning_rate": 1.053580870493051e-05, + "loss": 0.9233, + "step": 2590 + }, + { + "epoch": 0.5, + "learning_rate": 1.0529584236562995e-05, + "loss": 1.0397, + "step": 2591 + }, + { + "epoch": 0.5, + "learning_rate": 1.0523359562429441e-05, + "loss": 0.9773, + "step": 2592 + }, + { + "epoch": 0.5, + "learning_rate": 1.051713468494839e-05, + "loss": 0.9547, + "step": 2593 + }, + { + "epoch": 0.5, + "learning_rate": 1.0510909606538478e-05, + "loss": 0.9779, + "step": 2594 + }, + { + "epoch": 0.5, + "learning_rate": 1.0504684329618408e-05, + "loss": 0.9997, + "step": 2595 + }, + { + "epoch": 0.5, + "learning_rate": 1.0498458856606972e-05, + "loss": 0.9675, + "step": 2596 + }, + { + "epoch": 0.5, + "learning_rate": 1.049223318992303e-05, + "loss": 0.9135, + "step": 2597 + }, + { + "epoch": 0.5, + "learning_rate": 1.0486007331985516e-05, + "loss": 0.9099, + "step": 2598 + }, + { + "epoch": 0.5, + "learning_rate": 1.047978128521344e-05, + "loss": 0.8909, + "step": 2599 + }, + { + "epoch": 0.5, + "learning_rate": 1.0473555052025893e-05, + "loss": 0.9029, + "step": 2600 + }, + { + "epoch": 0.5, + "learning_rate": 1.0467328634842024e-05, + "loss": 0.9349, + "step": 2601 + }, + { + "epoch": 0.5, + "learning_rate": 1.0461102036081069e-05, + "loss": 0.8972, + "step": 2602 + }, + { + "epoch": 0.5, + "learning_rate": 1.045487525816232e-05, + "loss": 0.983, + "step": 2603 + }, + { + "epoch": 0.5, + "learning_rate": 1.044864830350515e-05, + "loss": 0.866, + "step": 2604 + }, + { + "epoch": 0.5, + "learning_rate": 1.0442421174528997e-05, + "loss": 0.9713, + "step": 2605 + }, + { + "epoch": 0.5, + "learning_rate": 1.0436193873653362e-05, + "loss": 0.9513, + "step": 2606 + }, + { + "epoch": 0.5, + "learning_rate": 1.0429966403297818e-05, + "loss": 0.8879, + "step": 2607 + }, + { + "epoch": 0.5, + "learning_rate": 1.0423738765882006e-05, + "loss": 0.9959, + "step": 2608 + }, + { + "epoch": 0.5, + "learning_rate": 1.0417510963825625e-05, + "loss": 1.0367, + "step": 2609 + }, + { + "epoch": 0.5, + "learning_rate": 1.0411282999548442e-05, + "loss": 0.9724, + "step": 2610 + }, + { + "epoch": 0.5, + "learning_rate": 1.0405054875470287e-05, + "loss": 1.0148, + "step": 2611 + }, + { + "epoch": 0.5, + "learning_rate": 1.039882659401105e-05, + "loss": 0.9376, + "step": 2612 + }, + { + "epoch": 0.5, + "learning_rate": 1.0392598157590687e-05, + "loss": 0.9045, + "step": 2613 + }, + { + "epoch": 0.5, + "learning_rate": 1.0386369568629209e-05, + "loss": 1.0035, + "step": 2614 + }, + { + "epoch": 0.5, + "learning_rate": 1.038014082954669e-05, + "loss": 0.9197, + "step": 2615 + }, + { + "epoch": 0.5, + "learning_rate": 1.037391194276326e-05, + "loss": 1.0102, + "step": 2616 + }, + { + "epoch": 0.5, + "learning_rate": 1.0367682910699104e-05, + "loss": 0.9698, + "step": 2617 + }, + { + "epoch": 0.5, + "learning_rate": 1.0361453735774467e-05, + "loss": 0.9952, + "step": 2618 + }, + { + "epoch": 0.5, + "learning_rate": 1.0355224420409653e-05, + "loss": 1.0302, + "step": 2619 + }, + { + "epoch": 0.5, + "learning_rate": 1.0348994967025012e-05, + "loss": 0.9455, + "step": 2620 + }, + { + "epoch": 0.5, + "learning_rate": 1.0342765378040953e-05, + "loss": 0.9741, + "step": 2621 + }, + { + "epoch": 0.5, + "learning_rate": 1.0336535655877942e-05, + "loss": 0.9631, + "step": 2622 + }, + { + "epoch": 0.5, + "learning_rate": 1.0330305802956484e-05, + "loss": 0.941, + "step": 2623 + }, + { + "epoch": 0.51, + "learning_rate": 1.0324075821697146e-05, + "loss": 0.9575, + "step": 2624 + }, + { + "epoch": 0.51, + "learning_rate": 1.0317845714520543e-05, + "loss": 0.9512, + "step": 2625 + }, + { + "epoch": 0.51, + "learning_rate": 1.0311615483847333e-05, + "loss": 0.9716, + "step": 2626 + }, + { + "epoch": 0.51, + "learning_rate": 1.0305385132098229e-05, + "loss": 0.978, + "step": 2627 + }, + { + "epoch": 0.51, + "learning_rate": 1.0299154661693987e-05, + "loss": 0.9092, + "step": 2628 + }, + { + "epoch": 0.51, + "learning_rate": 1.029292407505541e-05, + "loss": 0.9819, + "step": 2629 + }, + { + "epoch": 0.51, + "learning_rate": 1.0286693374603347e-05, + "loss": 0.9804, + "step": 2630 + }, + { + "epoch": 0.51, + "learning_rate": 1.028046256275869e-05, + "loss": 0.9385, + "step": 2631 + }, + { + "epoch": 0.51, + "learning_rate": 1.0274231641942378e-05, + "loss": 0.9704, + "step": 2632 + }, + { + "epoch": 0.51, + "learning_rate": 1.0268000614575386e-05, + "loss": 1.0089, + "step": 2633 + }, + { + "epoch": 0.51, + "learning_rate": 1.0261769483078734e-05, + "loss": 0.9778, + "step": 2634 + }, + { + "epoch": 0.51, + "learning_rate": 1.0255538249873482e-05, + "loss": 0.9431, + "step": 2635 + }, + { + "epoch": 0.51, + "learning_rate": 1.0249306917380731e-05, + "loss": 0.9458, + "step": 2636 + }, + { + "epoch": 0.51, + "learning_rate": 1.0243075488021617e-05, + "loss": 1.0072, + "step": 2637 + }, + { + "epoch": 0.51, + "learning_rate": 1.0236843964217317e-05, + "loss": 0.9878, + "step": 2638 + }, + { + "epoch": 0.51, + "learning_rate": 1.0230612348389048e-05, + "loss": 0.9748, + "step": 2639 + }, + { + "epoch": 0.51, + "learning_rate": 1.0224380642958052e-05, + "loss": 0.9198, + "step": 2640 + }, + { + "epoch": 0.51, + "learning_rate": 1.0218148850345613e-05, + "loss": 0.9356, + "step": 2641 + }, + { + "epoch": 0.51, + "learning_rate": 1.0211916972973048e-05, + "loss": 1.0643, + "step": 2642 + }, + { + "epoch": 0.51, + "learning_rate": 1.0205685013261712e-05, + "loss": 0.8516, + "step": 2643 + }, + { + "epoch": 0.51, + "learning_rate": 1.0199452973632982e-05, + "loss": 1.0306, + "step": 2644 + }, + { + "epoch": 0.51, + "learning_rate": 1.019322085650827e-05, + "loss": 1.016, + "step": 2645 + }, + { + "epoch": 0.51, + "learning_rate": 1.0186988664309023e-05, + "loss": 0.9847, + "step": 2646 + }, + { + "epoch": 0.51, + "learning_rate": 1.018075639945671e-05, + "loss": 0.9688, + "step": 2647 + }, + { + "epoch": 0.51, + "learning_rate": 1.0174524064372837e-05, + "loss": 1.029, + "step": 2648 + }, + { + "epoch": 0.51, + "learning_rate": 1.0168291661478924e-05, + "loss": 0.9516, + "step": 2649 + }, + { + "epoch": 0.51, + "learning_rate": 1.016205919319653e-05, + "loss": 0.9615, + "step": 2650 + }, + { + "epoch": 0.51, + "learning_rate": 1.0155826661947232e-05, + "loss": 0.9459, + "step": 2651 + }, + { + "epoch": 0.51, + "learning_rate": 1.0149594070152638e-05, + "loss": 0.9557, + "step": 2652 + }, + { + "epoch": 0.51, + "learning_rate": 1.014336142023437e-05, + "loss": 0.871, + "step": 2653 + }, + { + "epoch": 0.51, + "learning_rate": 1.0137128714614082e-05, + "loss": 0.942, + "step": 2654 + }, + { + "epoch": 0.51, + "learning_rate": 1.0130895955713445e-05, + "loss": 1.0125, + "step": 2655 + }, + { + "epoch": 0.51, + "learning_rate": 1.0124663145954152e-05, + "loss": 0.9415, + "step": 2656 + }, + { + "epoch": 0.51, + "learning_rate": 1.0118430287757914e-05, + "loss": 0.9014, + "step": 2657 + }, + { + "epoch": 0.51, + "learning_rate": 1.011219738354646e-05, + "loss": 0.9198, + "step": 2658 + }, + { + "epoch": 0.51, + "learning_rate": 1.0105964435741544e-05, + "loss": 0.9305, + "step": 2659 + }, + { + "epoch": 0.51, + "learning_rate": 1.0099731446764927e-05, + "loss": 1.0141, + "step": 2660 + }, + { + "epoch": 0.51, + "learning_rate": 1.0093498419038394e-05, + "loss": 1.0017, + "step": 2661 + }, + { + "epoch": 0.51, + "learning_rate": 1.008726535498374e-05, + "loss": 0.9863, + "step": 2662 + }, + { + "epoch": 0.51, + "learning_rate": 1.0081032257022776e-05, + "loss": 1.0038, + "step": 2663 + }, + { + "epoch": 0.51, + "learning_rate": 1.007479912757733e-05, + "loss": 1.0283, + "step": 2664 + }, + { + "epoch": 0.51, + "learning_rate": 1.0068565969069236e-05, + "loss": 0.9795, + "step": 2665 + }, + { + "epoch": 0.51, + "learning_rate": 1.0062332783920337e-05, + "loss": 1.0091, + "step": 2666 + }, + { + "epoch": 0.51, + "learning_rate": 1.0056099574552498e-05, + "loss": 0.9816, + "step": 2667 + }, + { + "epoch": 0.51, + "learning_rate": 1.0049866343387582e-05, + "loss": 1.0002, + "step": 2668 + }, + { + "epoch": 0.51, + "learning_rate": 1.0043633092847468e-05, + "loss": 0.9112, + "step": 2669 + }, + { + "epoch": 0.51, + "learning_rate": 1.0037399825354036e-05, + "loss": 0.9167, + "step": 2670 + }, + { + "epoch": 0.51, + "learning_rate": 1.0031166543329179e-05, + "loss": 0.8955, + "step": 2671 + }, + { + "epoch": 0.51, + "learning_rate": 1.0024933249194792e-05, + "loss": 0.9617, + "step": 2672 + }, + { + "epoch": 0.51, + "learning_rate": 1.0018699945372776e-05, + "loss": 0.955, + "step": 2673 + }, + { + "epoch": 0.51, + "learning_rate": 1.0012466634285034e-05, + "loss": 0.9405, + "step": 2674 + }, + { + "epoch": 0.51, + "learning_rate": 1.0006233318353474e-05, + "loss": 0.9463, + "step": 2675 + }, + { + "epoch": 0.52, + "learning_rate": 1e-05, + "loss": 0.9587, + "step": 2676 + }, + { + "epoch": 0.52, + "learning_rate": 9.993766681646531e-06, + "loss": 0.8845, + "step": 2677 + }, + { + "epoch": 0.52, + "learning_rate": 9.987533365714968e-06, + "loss": 0.9573, + "step": 2678 + }, + { + "epoch": 0.52, + "learning_rate": 9.981300054627227e-06, + "loss": 0.9154, + "step": 2679 + }, + { + "epoch": 0.52, + "learning_rate": 9.97506675080521e-06, + "loss": 0.9732, + "step": 2680 + }, + { + "epoch": 0.52, + "learning_rate": 9.968833456670824e-06, + "loss": 0.9113, + "step": 2681 + }, + { + "epoch": 0.52, + "learning_rate": 9.962600174645968e-06, + "loss": 1.0497, + "step": 2682 + }, + { + "epoch": 0.52, + "learning_rate": 9.956366907152536e-06, + "loss": 0.9329, + "step": 2683 + }, + { + "epoch": 0.52, + "learning_rate": 9.950133656612421e-06, + "loss": 0.9944, + "step": 2684 + }, + { + "epoch": 0.52, + "learning_rate": 9.943900425447505e-06, + "loss": 0.9202, + "step": 2685 + }, + { + "epoch": 0.52, + "learning_rate": 9.937667216079665e-06, + "loss": 0.9683, + "step": 2686 + }, + { + "epoch": 0.52, + "learning_rate": 9.931434030930768e-06, + "loss": 0.9505, + "step": 2687 + }, + { + "epoch": 0.52, + "learning_rate": 9.925200872422671e-06, + "loss": 0.9501, + "step": 2688 + }, + { + "epoch": 0.52, + "learning_rate": 9.918967742977226e-06, + "loss": 1.0344, + "step": 2689 + }, + { + "epoch": 0.52, + "learning_rate": 9.912734645016262e-06, + "loss": 1.0075, + "step": 2690 + }, + { + "epoch": 0.52, + "learning_rate": 9.90650158096161e-06, + "loss": 1.0095, + "step": 2691 + }, + { + "epoch": 0.52, + "learning_rate": 9.900268553235077e-06, + "loss": 1.0214, + "step": 2692 + }, + { + "epoch": 0.52, + "learning_rate": 9.89403556425846e-06, + "loss": 0.9935, + "step": 2693 + }, + { + "epoch": 0.52, + "learning_rate": 9.887802616453543e-06, + "loss": 0.9423, + "step": 2694 + }, + { + "epoch": 0.52, + "learning_rate": 9.88156971224209e-06, + "loss": 1.004, + "step": 2695 + }, + { + "epoch": 0.52, + "learning_rate": 9.87533685404585e-06, + "loss": 0.9668, + "step": 2696 + }, + { + "epoch": 0.52, + "learning_rate": 9.869104044286558e-06, + "loss": 0.941, + "step": 2697 + }, + { + "epoch": 0.52, + "learning_rate": 9.862871285385921e-06, + "loss": 0.9018, + "step": 2698 + }, + { + "epoch": 0.52, + "learning_rate": 9.856638579765633e-06, + "loss": 0.9441, + "step": 2699 + }, + { + "epoch": 0.52, + "learning_rate": 9.850405929847367e-06, + "loss": 0.9264, + "step": 2700 + }, + { + "epoch": 0.52, + "learning_rate": 9.844173338052771e-06, + "loss": 0.8888, + "step": 2701 + }, + { + "epoch": 0.52, + "learning_rate": 9.837940806803474e-06, + "loss": 0.9223, + "step": 2702 + }, + { + "epoch": 0.52, + "learning_rate": 9.83170833852108e-06, + "loss": 0.9539, + "step": 2703 + }, + { + "epoch": 0.52, + "learning_rate": 9.825475935627165e-06, + "loss": 0.9104, + "step": 2704 + }, + { + "epoch": 0.52, + "learning_rate": 9.819243600543292e-06, + "loss": 0.9588, + "step": 2705 + }, + { + "epoch": 0.52, + "learning_rate": 9.81301133569098e-06, + "loss": 1.0445, + "step": 2706 + }, + { + "epoch": 0.52, + "learning_rate": 9.806779143491733e-06, + "loss": 0.994, + "step": 2707 + }, + { + "epoch": 0.52, + "learning_rate": 9.800547026367022e-06, + "loss": 1.0295, + "step": 2708 + }, + { + "epoch": 0.52, + "learning_rate": 9.794314986738291e-06, + "loss": 1.0007, + "step": 2709 + }, + { + "epoch": 0.52, + "learning_rate": 9.788083027026953e-06, + "loss": 0.9524, + "step": 2710 + }, + { + "epoch": 0.52, + "learning_rate": 9.78185114965439e-06, + "loss": 0.9463, + "step": 2711 + }, + { + "epoch": 0.52, + "learning_rate": 9.775619357041952e-06, + "loss": 0.9549, + "step": 2712 + }, + { + "epoch": 0.52, + "learning_rate": 9.769387651610955e-06, + "loss": 0.9517, + "step": 2713 + }, + { + "epoch": 0.52, + "learning_rate": 9.763156035782686e-06, + "loss": 0.8795, + "step": 2714 + }, + { + "epoch": 0.52, + "learning_rate": 9.756924511978388e-06, + "loss": 1.0214, + "step": 2715 + }, + { + "epoch": 0.52, + "learning_rate": 9.750693082619274e-06, + "loss": 1.0158, + "step": 2716 + }, + { + "epoch": 0.52, + "learning_rate": 9.744461750126523e-06, + "loss": 0.9407, + "step": 2717 + }, + { + "epoch": 0.52, + "learning_rate": 9.738230516921272e-06, + "loss": 0.9272, + "step": 2718 + }, + { + "epoch": 0.52, + "learning_rate": 9.73199938542462e-06, + "loss": 0.9378, + "step": 2719 + }, + { + "epoch": 0.52, + "learning_rate": 9.725768358057625e-06, + "loss": 0.9669, + "step": 2720 + }, + { + "epoch": 0.52, + "learning_rate": 9.719537437241311e-06, + "loss": 0.9646, + "step": 2721 + }, + { + "epoch": 0.52, + "learning_rate": 9.713306625396658e-06, + "loss": 0.8479, + "step": 2722 + }, + { + "epoch": 0.52, + "learning_rate": 9.707075924944595e-06, + "loss": 0.9293, + "step": 2723 + }, + { + "epoch": 0.52, + "learning_rate": 9.700845338306018e-06, + "loss": 0.9984, + "step": 2724 + }, + { + "epoch": 0.52, + "learning_rate": 9.694614867901776e-06, + "loss": 0.9786, + "step": 2725 + }, + { + "epoch": 0.52, + "learning_rate": 9.68838451615267e-06, + "loss": 0.9621, + "step": 2726 + }, + { + "epoch": 0.52, + "learning_rate": 9.68215428547946e-06, + "loss": 1.0273, + "step": 2727 + }, + { + "epoch": 0.53, + "learning_rate": 9.675924178302857e-06, + "loss": 1.0265, + "step": 2728 + }, + { + "epoch": 0.53, + "learning_rate": 9.66969419704352e-06, + "loss": 1.0313, + "step": 2729 + }, + { + "epoch": 0.53, + "learning_rate": 9.663464344122064e-06, + "loss": 0.9931, + "step": 2730 + }, + { + "epoch": 0.53, + "learning_rate": 9.65723462195905e-06, + "loss": 0.924, + "step": 2731 + }, + { + "epoch": 0.53, + "learning_rate": 9.651005032974994e-06, + "loss": 0.863, + "step": 2732 + }, + { + "epoch": 0.53, + "learning_rate": 9.644775579590352e-06, + "loss": 0.9116, + "step": 2733 + }, + { + "epoch": 0.53, + "learning_rate": 9.638546264225538e-06, + "loss": 0.9537, + "step": 2734 + }, + { + "epoch": 0.53, + "learning_rate": 9.632317089300902e-06, + "loss": 1.0054, + "step": 2735 + }, + { + "epoch": 0.53, + "learning_rate": 9.626088057236745e-06, + "loss": 1.0307, + "step": 2736 + }, + { + "epoch": 0.53, + "learning_rate": 9.619859170453314e-06, + "loss": 0.9407, + "step": 2737 + }, + { + "epoch": 0.53, + "learning_rate": 9.613630431370794e-06, + "loss": 1.0129, + "step": 2738 + }, + { + "epoch": 0.53, + "learning_rate": 9.607401842409318e-06, + "loss": 0.9763, + "step": 2739 + }, + { + "epoch": 0.53, + "learning_rate": 9.601173405988955e-06, + "loss": 0.9313, + "step": 2740 + }, + { + "epoch": 0.53, + "learning_rate": 9.594945124529718e-06, + "loss": 0.9936, + "step": 2741 + }, + { + "epoch": 0.53, + "learning_rate": 9.588717000451563e-06, + "loss": 1.0108, + "step": 2742 + }, + { + "epoch": 0.53, + "learning_rate": 9.58248903617438e-06, + "loss": 1.0007, + "step": 2743 + }, + { + "epoch": 0.53, + "learning_rate": 9.576261234117998e-06, + "loss": 0.9701, + "step": 2744 + }, + { + "epoch": 0.53, + "learning_rate": 9.570033596702185e-06, + "loss": 0.9094, + "step": 2745 + }, + { + "epoch": 0.53, + "learning_rate": 9.563806126346643e-06, + "loss": 0.9512, + "step": 2746 + }, + { + "epoch": 0.53, + "learning_rate": 9.557578825471008e-06, + "loss": 0.9704, + "step": 2747 + }, + { + "epoch": 0.53, + "learning_rate": 9.551351696494854e-06, + "loss": 0.8636, + "step": 2748 + }, + { + "epoch": 0.53, + "learning_rate": 9.545124741837684e-06, + "loss": 0.9417, + "step": 2749 + }, + { + "epoch": 0.53, + "learning_rate": 9.538897963918936e-06, + "loss": 1.0212, + "step": 2750 + }, + { + "epoch": 0.53, + "learning_rate": 9.532671365157979e-06, + "loss": 0.9386, + "step": 2751 + }, + { + "epoch": 0.53, + "learning_rate": 9.526444947974112e-06, + "loss": 0.9521, + "step": 2752 + }, + { + "epoch": 0.53, + "learning_rate": 9.520218714786564e-06, + "loss": 0.8744, + "step": 2753 + }, + { + "epoch": 0.53, + "learning_rate": 9.51399266801449e-06, + "loss": 0.9734, + "step": 2754 + }, + { + "epoch": 0.53, + "learning_rate": 9.507766810076972e-06, + "loss": 0.9525, + "step": 2755 + }, + { + "epoch": 0.53, + "learning_rate": 9.501541143393028e-06, + "loss": 0.8427, + "step": 2756 + }, + { + "epoch": 0.53, + "learning_rate": 9.495315670381592e-06, + "loss": 0.9976, + "step": 2757 + }, + { + "epoch": 0.53, + "learning_rate": 9.489090393461523e-06, + "loss": 0.9971, + "step": 2758 + }, + { + "epoch": 0.53, + "learning_rate": 9.48286531505161e-06, + "loss": 0.9368, + "step": 2759 + }, + { + "epoch": 0.53, + "learning_rate": 9.476640437570562e-06, + "loss": 0.903, + "step": 2760 + }, + { + "epoch": 0.53, + "learning_rate": 9.470415763437003e-06, + "loss": 0.9558, + "step": 2761 + }, + { + "epoch": 0.53, + "learning_rate": 9.46419129506949e-06, + "loss": 0.9152, + "step": 2762 + }, + { + "epoch": 0.53, + "learning_rate": 9.457967034886493e-06, + "loss": 0.9838, + "step": 2763 + }, + { + "epoch": 0.53, + "learning_rate": 9.4517429853064e-06, + "loss": 0.9361, + "step": 2764 + }, + { + "epoch": 0.53, + "learning_rate": 9.44551914874752e-06, + "loss": 0.9686, + "step": 2765 + }, + { + "epoch": 0.53, + "learning_rate": 9.439295527628083e-06, + "loss": 0.962, + "step": 2766 + }, + { + "epoch": 0.53, + "learning_rate": 9.433072124366224e-06, + "loss": 0.9556, + "step": 2767 + }, + { + "epoch": 0.53, + "learning_rate": 9.426848941380007e-06, + "loss": 0.9787, + "step": 2768 + }, + { + "epoch": 0.53, + "learning_rate": 9.4206259810874e-06, + "loss": 0.9212, + "step": 2769 + }, + { + "epoch": 0.53, + "learning_rate": 9.41440324590629e-06, + "loss": 0.8949, + "step": 2770 + }, + { + "epoch": 0.53, + "learning_rate": 9.408180738254472e-06, + "loss": 1.0511, + "step": 2771 + }, + { + "epoch": 0.53, + "learning_rate": 9.401958460549658e-06, + "loss": 0.9718, + "step": 2772 + }, + { + "epoch": 0.53, + "learning_rate": 9.395736415209468e-06, + "loss": 1.0104, + "step": 2773 + }, + { + "epoch": 0.53, + "learning_rate": 9.38951460465143e-06, + "loss": 0.9929, + "step": 2774 + }, + { + "epoch": 0.53, + "learning_rate": 9.383293031292985e-06, + "loss": 0.9776, + "step": 2775 + }, + { + "epoch": 0.53, + "learning_rate": 9.377071697551479e-06, + "loss": 0.8923, + "step": 2776 + }, + { + "epoch": 0.53, + "learning_rate": 9.370850605844165e-06, + "loss": 0.9407, + "step": 2777 + }, + { + "epoch": 0.53, + "learning_rate": 9.364629758588199e-06, + "loss": 0.9643, + "step": 2778 + }, + { + "epoch": 0.53, + "learning_rate": 9.358409158200648e-06, + "loss": 0.9628, + "step": 2779 + }, + { + "epoch": 0.54, + "learning_rate": 9.352188807098482e-06, + "loss": 1.0428, + "step": 2780 + }, + { + "epoch": 0.54, + "learning_rate": 9.34596870769857e-06, + "loss": 0.9725, + "step": 2781 + }, + { + "epoch": 0.54, + "learning_rate": 9.339748862417686e-06, + "loss": 1.0673, + "step": 2782 + }, + { + "epoch": 0.54, + "learning_rate": 9.333529273672505e-06, + "loss": 0.9389, + "step": 2783 + }, + { + "epoch": 0.54, + "learning_rate": 9.327309943879604e-06, + "loss": 0.9593, + "step": 2784 + }, + { + "epoch": 0.54, + "learning_rate": 9.321090875455457e-06, + "loss": 1.0488, + "step": 2785 + }, + { + "epoch": 0.54, + "learning_rate": 9.314872070816435e-06, + "loss": 0.9123, + "step": 2786 + }, + { + "epoch": 0.54, + "learning_rate": 9.308653532378809e-06, + "loss": 0.9715, + "step": 2787 + }, + { + "epoch": 0.54, + "learning_rate": 9.302435262558748e-06, + "loss": 0.9449, + "step": 2788 + }, + { + "epoch": 0.54, + "learning_rate": 9.296217263772313e-06, + "loss": 0.8776, + "step": 2789 + }, + { + "epoch": 0.54, + "learning_rate": 9.289999538435463e-06, + "loss": 0.8941, + "step": 2790 + }, + { + "epoch": 0.54, + "learning_rate": 9.28378208896405e-06, + "loss": 0.9726, + "step": 2791 + }, + { + "epoch": 0.54, + "learning_rate": 9.277564917773816e-06, + "loss": 1.0339, + "step": 2792 + }, + { + "epoch": 0.54, + "learning_rate": 9.2713480272804e-06, + "loss": 0.9318, + "step": 2793 + }, + { + "epoch": 0.54, + "learning_rate": 9.265131419899325e-06, + "loss": 1.0574, + "step": 2794 + }, + { + "epoch": 0.54, + "learning_rate": 9.258915098046008e-06, + "loss": 0.9687, + "step": 2795 + }, + { + "epoch": 0.54, + "learning_rate": 9.252699064135759e-06, + "loss": 0.9764, + "step": 2796 + }, + { + "epoch": 0.54, + "learning_rate": 9.246483320583768e-06, + "loss": 0.947, + "step": 2797 + }, + { + "epoch": 0.54, + "learning_rate": 9.240267869805118e-06, + "loss": 0.9336, + "step": 2798 + }, + { + "epoch": 0.54, + "learning_rate": 9.234052714214777e-06, + "loss": 0.974, + "step": 2799 + }, + { + "epoch": 0.54, + "learning_rate": 9.227837856227594e-06, + "loss": 0.9972, + "step": 2800 + }, + { + "epoch": 0.54, + "learning_rate": 9.221623298258315e-06, + "loss": 0.9403, + "step": 2801 + }, + { + "epoch": 0.54, + "learning_rate": 9.215409042721553e-06, + "loss": 0.9719, + "step": 2802 + }, + { + "epoch": 0.54, + "learning_rate": 9.209195092031811e-06, + "loss": 0.9215, + "step": 2803 + }, + { + "epoch": 0.54, + "learning_rate": 9.202981448603477e-06, + "loss": 0.972, + "step": 2804 + }, + { + "epoch": 0.54, + "learning_rate": 9.196768114850814e-06, + "loss": 0.9663, + "step": 2805 + }, + { + "epoch": 0.54, + "learning_rate": 9.190555093187968e-06, + "loss": 0.9751, + "step": 2806 + }, + { + "epoch": 0.54, + "learning_rate": 9.184342386028963e-06, + "loss": 0.9348, + "step": 2807 + }, + { + "epoch": 0.54, + "learning_rate": 9.178129995787698e-06, + "loss": 0.9192, + "step": 2808 + }, + { + "epoch": 0.54, + "learning_rate": 9.17191792487796e-06, + "loss": 0.9167, + "step": 2809 + }, + { + "epoch": 0.54, + "learning_rate": 9.165706175713391e-06, + "loss": 0.9379, + "step": 2810 + }, + { + "epoch": 0.54, + "learning_rate": 9.159494750707527e-06, + "loss": 1.0124, + "step": 2811 + }, + { + "epoch": 0.54, + "learning_rate": 9.153283652273768e-06, + "loss": 0.9916, + "step": 2812 + }, + { + "epoch": 0.54, + "learning_rate": 9.147072882825394e-06, + "loss": 0.9453, + "step": 2813 + }, + { + "epoch": 0.54, + "learning_rate": 9.140862444775554e-06, + "loss": 0.9239, + "step": 2814 + }, + { + "epoch": 0.54, + "learning_rate": 9.134652340537265e-06, + "loss": 1.0155, + "step": 2815 + }, + { + "epoch": 0.54, + "learning_rate": 9.128442572523418e-06, + "loss": 0.8855, + "step": 2816 + }, + { + "epoch": 0.54, + "learning_rate": 9.122233143146777e-06, + "loss": 0.9304, + "step": 2817 + }, + { + "epoch": 0.54, + "learning_rate": 9.11602405481996e-06, + "loss": 0.9, + "step": 2818 + }, + { + "epoch": 0.54, + "learning_rate": 9.10981530995547e-06, + "loss": 0.9981, + "step": 2819 + }, + { + "epoch": 0.54, + "learning_rate": 9.103606910965666e-06, + "loss": 0.9093, + "step": 2820 + }, + { + "epoch": 0.54, + "learning_rate": 9.097398860262777e-06, + "loss": 0.9774, + "step": 2821 + }, + { + "epoch": 0.54, + "learning_rate": 9.091191160258895e-06, + "loss": 1.0396, + "step": 2822 + }, + { + "epoch": 0.54, + "learning_rate": 9.084983813365977e-06, + "loss": 0.9338, + "step": 2823 + }, + { + "epoch": 0.54, + "learning_rate": 9.078776821995839e-06, + "loss": 0.8939, + "step": 2824 + }, + { + "epoch": 0.54, + "learning_rate": 9.072570188560164e-06, + "loss": 0.9938, + "step": 2825 + }, + { + "epoch": 0.54, + "learning_rate": 9.066363915470494e-06, + "loss": 0.978, + "step": 2826 + }, + { + "epoch": 0.54, + "learning_rate": 9.060158005138229e-06, + "loss": 1.0007, + "step": 2827 + }, + { + "epoch": 0.54, + "learning_rate": 9.05395245997463e-06, + "loss": 0.9482, + "step": 2828 + }, + { + "epoch": 0.54, + "learning_rate": 9.047747282390815e-06, + "loss": 0.8981, + "step": 2829 + }, + { + "epoch": 0.54, + "learning_rate": 9.04154247479776e-06, + "loss": 0.9922, + "step": 2830 + }, + { + "epoch": 0.54, + "learning_rate": 9.0353380396063e-06, + "loss": 0.9742, + "step": 2831 + }, + { + "epoch": 0.55, + "learning_rate": 9.02913397922712e-06, + "loss": 0.974, + "step": 2832 + }, + { + "epoch": 0.55, + "learning_rate": 9.022930296070761e-06, + "loss": 1.0028, + "step": 2833 + }, + { + "epoch": 0.55, + "learning_rate": 9.016726992547621e-06, + "loss": 0.9916, + "step": 2834 + }, + { + "epoch": 0.55, + "learning_rate": 9.010524071067947e-06, + "loss": 0.9723, + "step": 2835 + }, + { + "epoch": 0.55, + "learning_rate": 9.004321534041836e-06, + "loss": 1.0189, + "step": 2836 + }, + { + "epoch": 0.55, + "learning_rate": 8.99811938387924e-06, + "loss": 0.9432, + "step": 2837 + }, + { + "epoch": 0.55, + "learning_rate": 8.991917622989957e-06, + "loss": 0.9738, + "step": 2838 + }, + { + "epoch": 0.55, + "learning_rate": 8.985716253783636e-06, + "loss": 1.0033, + "step": 2839 + }, + { + "epoch": 0.55, + "learning_rate": 8.979515278669776e-06, + "loss": 0.9524, + "step": 2840 + }, + { + "epoch": 0.55, + "learning_rate": 8.973314700057717e-06, + "loss": 0.9996, + "step": 2841 + }, + { + "epoch": 0.55, + "learning_rate": 8.967114520356652e-06, + "loss": 0.9047, + "step": 2842 + }, + { + "epoch": 0.55, + "learning_rate": 8.960914741975608e-06, + "loss": 0.8818, + "step": 2843 + }, + { + "epoch": 0.55, + "learning_rate": 8.954715367323468e-06, + "loss": 0.939, + "step": 2844 + }, + { + "epoch": 0.55, + "learning_rate": 8.948516398808952e-06, + "loss": 0.9969, + "step": 2845 + }, + { + "epoch": 0.55, + "learning_rate": 8.942317838840625e-06, + "loss": 0.9725, + "step": 2846 + }, + { + "epoch": 0.55, + "learning_rate": 8.936119689826888e-06, + "loss": 0.9736, + "step": 2847 + }, + { + "epoch": 0.55, + "learning_rate": 8.92992195417599e-06, + "loss": 0.9807, + "step": 2848 + }, + { + "epoch": 0.55, + "learning_rate": 8.923724634296013e-06, + "loss": 0.8876, + "step": 2849 + }, + { + "epoch": 0.55, + "learning_rate": 8.917527732594882e-06, + "loss": 1.0044, + "step": 2850 + }, + { + "epoch": 0.55, + "learning_rate": 8.911331251480357e-06, + "loss": 0.9208, + "step": 2851 + }, + { + "epoch": 0.55, + "learning_rate": 8.905135193360032e-06, + "loss": 0.9397, + "step": 2852 + }, + { + "epoch": 0.55, + "learning_rate": 8.898939560641342e-06, + "loss": 0.9482, + "step": 2853 + }, + { + "epoch": 0.55, + "learning_rate": 8.892744355731555e-06, + "loss": 0.9686, + "step": 2854 + }, + { + "epoch": 0.55, + "learning_rate": 8.88654958103777e-06, + "loss": 0.949, + "step": 2855 + }, + { + "epoch": 0.55, + "learning_rate": 8.880355238966923e-06, + "loss": 1.0099, + "step": 2856 + }, + { + "epoch": 0.55, + "learning_rate": 8.874161331925778e-06, + "loss": 1.0182, + "step": 2857 + }, + { + "epoch": 0.55, + "learning_rate": 8.867967862320935e-06, + "loss": 0.9719, + "step": 2858 + }, + { + "epoch": 0.55, + "learning_rate": 8.861774832558819e-06, + "loss": 0.9136, + "step": 2859 + }, + { + "epoch": 0.55, + "learning_rate": 8.855582245045682e-06, + "loss": 0.9708, + "step": 2860 + }, + { + "epoch": 0.55, + "learning_rate": 8.849390102187615e-06, + "loss": 0.9414, + "step": 2861 + }, + { + "epoch": 0.55, + "learning_rate": 8.843198406390524e-06, + "loss": 0.93, + "step": 2862 + }, + { + "epoch": 0.55, + "learning_rate": 8.83700716006015e-06, + "loss": 1.0089, + "step": 2863 + }, + { + "epoch": 0.55, + "learning_rate": 8.830816365602053e-06, + "loss": 0.9339, + "step": 2864 + }, + { + "epoch": 0.55, + "learning_rate": 8.824626025421625e-06, + "loss": 0.9548, + "step": 2865 + }, + { + "epoch": 0.55, + "learning_rate": 8.818436141924072e-06, + "loss": 0.8952, + "step": 2866 + }, + { + "epoch": 0.55, + "learning_rate": 8.812246717514434e-06, + "loss": 1.0144, + "step": 2867 + }, + { + "epoch": 0.55, + "learning_rate": 8.806057754597559e-06, + "loss": 0.9091, + "step": 2868 + }, + { + "epoch": 0.55, + "learning_rate": 8.799869255578126e-06, + "loss": 0.901, + "step": 2869 + }, + { + "epoch": 0.55, + "learning_rate": 8.793681222860631e-06, + "loss": 0.9716, + "step": 2870 + }, + { + "epoch": 0.55, + "learning_rate": 8.787493658849387e-06, + "loss": 0.8447, + "step": 2871 + }, + { + "epoch": 0.55, + "learning_rate": 8.781306565948528e-06, + "loss": 1.0097, + "step": 2872 + }, + { + "epoch": 0.55, + "learning_rate": 8.775119946562e-06, + "loss": 0.925, + "step": 2873 + }, + { + "epoch": 0.55, + "learning_rate": 8.768933803093573e-06, + "loss": 0.9375, + "step": 2874 + }, + { + "epoch": 0.55, + "learning_rate": 8.762748137946827e-06, + "loss": 1.0014, + "step": 2875 + }, + { + "epoch": 0.55, + "learning_rate": 8.756562953525151e-06, + "loss": 0.8746, + "step": 2876 + }, + { + "epoch": 0.55, + "learning_rate": 8.750378252231756e-06, + "loss": 0.9093, + "step": 2877 + }, + { + "epoch": 0.55, + "learning_rate": 8.744194036469665e-06, + "loss": 0.8362, + "step": 2878 + }, + { + "epoch": 0.55, + "learning_rate": 8.738010308641705e-06, + "loss": 0.9555, + "step": 2879 + }, + { + "epoch": 0.55, + "learning_rate": 8.731827071150519e-06, + "loss": 0.9589, + "step": 2880 + }, + { + "epoch": 0.55, + "learning_rate": 8.72564432639856e-06, + "loss": 0.9662, + "step": 2881 + }, + { + "epoch": 0.55, + "learning_rate": 8.719462076788085e-06, + "loss": 0.9525, + "step": 2882 + }, + { + "epoch": 0.55, + "learning_rate": 8.713280324721163e-06, + "loss": 0.9964, + "step": 2883 + }, + { + "epoch": 0.56, + "learning_rate": 8.70709907259967e-06, + "loss": 0.9578, + "step": 2884 + }, + { + "epoch": 0.56, + "learning_rate": 8.700918322825282e-06, + "loss": 0.9171, + "step": 2885 + }, + { + "epoch": 0.56, + "learning_rate": 8.694738077799487e-06, + "loss": 0.9396, + "step": 2886 + }, + { + "epoch": 0.56, + "learning_rate": 8.68855833992357e-06, + "loss": 1.0223, + "step": 2887 + }, + { + "epoch": 0.56, + "learning_rate": 8.682379111598626e-06, + "loss": 0.9535, + "step": 2888 + }, + { + "epoch": 0.56, + "learning_rate": 8.676200395225546e-06, + "loss": 0.963, + "step": 2889 + }, + { + "epoch": 0.56, + "learning_rate": 8.670022193205027e-06, + "loss": 0.9092, + "step": 2890 + }, + { + "epoch": 0.56, + "learning_rate": 8.663844507937563e-06, + "loss": 0.883, + "step": 2891 + }, + { + "epoch": 0.56, + "learning_rate": 8.657667341823449e-06, + "loss": 0.9973, + "step": 2892 + }, + { + "epoch": 0.56, + "learning_rate": 8.651490697262773e-06, + "loss": 0.9459, + "step": 2893 + }, + { + "epoch": 0.56, + "learning_rate": 8.645314576655428e-06, + "loss": 0.9827, + "step": 2894 + }, + { + "epoch": 0.56, + "learning_rate": 8.6391389824011e-06, + "loss": 0.8917, + "step": 2895 + }, + { + "epoch": 0.56, + "learning_rate": 8.632963916899268e-06, + "loss": 0.9631, + "step": 2896 + }, + { + "epoch": 0.56, + "learning_rate": 8.626789382549212e-06, + "loss": 1.0595, + "step": 2897 + }, + { + "epoch": 0.56, + "learning_rate": 8.62061538175e-06, + "loss": 0.9533, + "step": 2898 + }, + { + "epoch": 0.56, + "learning_rate": 8.614441916900493e-06, + "loss": 0.9815, + "step": 2899 + }, + { + "epoch": 0.56, + "learning_rate": 8.60826899039935e-06, + "loss": 0.9714, + "step": 2900 + }, + { + "epoch": 0.56, + "learning_rate": 8.602096604645009e-06, + "loss": 0.8409, + "step": 2901 + }, + { + "epoch": 0.56, + "learning_rate": 8.59592476203571e-06, + "loss": 0.898, + "step": 2902 + }, + { + "epoch": 0.56, + "learning_rate": 8.589753464969473e-06, + "loss": 0.8974, + "step": 2903 + }, + { + "epoch": 0.56, + "learning_rate": 8.583582715844113e-06, + "loss": 1.0005, + "step": 2904 + }, + { + "epoch": 0.56, + "learning_rate": 8.577412517057227e-06, + "loss": 0.9679, + "step": 2905 + }, + { + "epoch": 0.56, + "learning_rate": 8.571242871006202e-06, + "loss": 0.9857, + "step": 2906 + }, + { + "epoch": 0.56, + "learning_rate": 8.56507378008821e-06, + "loss": 0.954, + "step": 2907 + }, + { + "epoch": 0.56, + "learning_rate": 8.558905246700202e-06, + "loss": 1.0278, + "step": 2908 + }, + { + "epoch": 0.56, + "learning_rate": 8.552737273238919e-06, + "loss": 0.9157, + "step": 2909 + }, + { + "epoch": 0.56, + "learning_rate": 8.546569862100876e-06, + "loss": 0.9368, + "step": 2910 + }, + { + "epoch": 0.56, + "learning_rate": 8.540403015682382e-06, + "loss": 0.9451, + "step": 2911 + }, + { + "epoch": 0.56, + "learning_rate": 8.534236736379515e-06, + "loss": 1.0065, + "step": 2912 + }, + { + "epoch": 0.56, + "learning_rate": 8.528071026588137e-06, + "loss": 1.0219, + "step": 2913 + }, + { + "epoch": 0.56, + "learning_rate": 8.521905888703894e-06, + "loss": 0.9774, + "step": 2914 + }, + { + "epoch": 0.56, + "learning_rate": 8.515741325122202e-06, + "loss": 0.9744, + "step": 2915 + }, + { + "epoch": 0.56, + "learning_rate": 8.509577338238255e-06, + "loss": 0.9633, + "step": 2916 + }, + { + "epoch": 0.56, + "learning_rate": 8.503413930447027e-06, + "loss": 0.9362, + "step": 2917 + }, + { + "epoch": 0.56, + "learning_rate": 8.497251104143263e-06, + "loss": 1.0565, + "step": 2918 + }, + { + "epoch": 0.56, + "learning_rate": 8.491088861721486e-06, + "loss": 0.9734, + "step": 2919 + }, + { + "epoch": 0.56, + "learning_rate": 8.484927205575985e-06, + "loss": 0.9324, + "step": 2920 + }, + { + "epoch": 0.56, + "learning_rate": 8.478766138100834e-06, + "loss": 0.9982, + "step": 2921 + }, + { + "epoch": 0.56, + "learning_rate": 8.472605661689863e-06, + "loss": 0.8356, + "step": 2922 + }, + { + "epoch": 0.56, + "learning_rate": 8.46644577873668e-06, + "loss": 0.9132, + "step": 2923 + }, + { + "epoch": 0.56, + "learning_rate": 8.460286491634664e-06, + "loss": 0.9543, + "step": 2924 + }, + { + "epoch": 0.56, + "learning_rate": 8.454127802776961e-06, + "loss": 0.9294, + "step": 2925 + }, + { + "epoch": 0.56, + "learning_rate": 8.447969714556484e-06, + "loss": 1.0066, + "step": 2926 + }, + { + "epoch": 0.56, + "learning_rate": 8.441812229365913e-06, + "loss": 0.9329, + "step": 2927 + }, + { + "epoch": 0.56, + "learning_rate": 8.43565534959769e-06, + "loss": 0.9145, + "step": 2928 + }, + { + "epoch": 0.56, + "learning_rate": 8.42949907764403e-06, + "loss": 1.0079, + "step": 2929 + }, + { + "epoch": 0.56, + "learning_rate": 8.423343415896904e-06, + "loss": 0.9907, + "step": 2930 + }, + { + "epoch": 0.56, + "learning_rate": 8.417188366748051e-06, + "loss": 0.9302, + "step": 2931 + }, + { + "epoch": 0.56, + "learning_rate": 8.411033932588969e-06, + "loss": 0.8966, + "step": 2932 + }, + { + "epoch": 0.56, + "learning_rate": 8.404880115810914e-06, + "loss": 0.912, + "step": 2933 + }, + { + "epoch": 0.56, + "learning_rate": 8.398726918804911e-06, + "loss": 0.9243, + "step": 2934 + }, + { + "epoch": 0.56, + "learning_rate": 8.392574343961739e-06, + "loss": 0.9539, + "step": 2935 + }, + { + "epoch": 0.57, + "learning_rate": 8.386422393671934e-06, + "loss": 0.9131, + "step": 2936 + }, + { + "epoch": 0.57, + "learning_rate": 8.380271070325789e-06, + "loss": 0.9877, + "step": 2937 + }, + { + "epoch": 0.57, + "learning_rate": 8.374120376313362e-06, + "loss": 0.9783, + "step": 2938 + }, + { + "epoch": 0.57, + "learning_rate": 8.367970314024451e-06, + "loss": 0.9999, + "step": 2939 + }, + { + "epoch": 0.57, + "learning_rate": 8.361820885848623e-06, + "loss": 0.9142, + "step": 2940 + }, + { + "epoch": 0.57, + "learning_rate": 8.355672094175192e-06, + "loss": 0.9445, + "step": 2941 + }, + { + "epoch": 0.57, + "learning_rate": 8.349523941393224e-06, + "loss": 0.8747, + "step": 2942 + }, + { + "epoch": 0.57, + "learning_rate": 8.343376429891538e-06, + "loss": 0.8676, + "step": 2943 + }, + { + "epoch": 0.57, + "learning_rate": 8.337229562058707e-06, + "loss": 0.8935, + "step": 2944 + }, + { + "epoch": 0.57, + "learning_rate": 8.331083340283051e-06, + "loss": 0.9832, + "step": 2945 + }, + { + "epoch": 0.57, + "learning_rate": 8.324937766952638e-06, + "loss": 0.8733, + "step": 2946 + }, + { + "epoch": 0.57, + "learning_rate": 8.318792844455282e-06, + "loss": 0.9061, + "step": 2947 + }, + { + "epoch": 0.57, + "learning_rate": 8.312648575178552e-06, + "loss": 0.941, + "step": 2948 + }, + { + "epoch": 0.57, + "learning_rate": 8.306504961509755e-06, + "loss": 0.9926, + "step": 2949 + }, + { + "epoch": 0.57, + "learning_rate": 8.300362005835947e-06, + "loss": 0.9115, + "step": 2950 + }, + { + "epoch": 0.57, + "learning_rate": 8.294219710543931e-06, + "loss": 0.9289, + "step": 2951 + }, + { + "epoch": 0.57, + "learning_rate": 8.28807807802025e-06, + "loss": 0.9822, + "step": 2952 + }, + { + "epoch": 0.57, + "learning_rate": 8.281937110651187e-06, + "loss": 0.9354, + "step": 2953 + }, + { + "epoch": 0.57, + "learning_rate": 8.275796810822774e-06, + "loss": 0.898, + "step": 2954 + }, + { + "epoch": 0.57, + "learning_rate": 8.269657180920773e-06, + "loss": 0.9104, + "step": 2955 + }, + { + "epoch": 0.57, + "learning_rate": 8.263518223330698e-06, + "loss": 1.0039, + "step": 2956 + }, + { + "epoch": 0.57, + "learning_rate": 8.25737994043779e-06, + "loss": 0.9373, + "step": 2957 + }, + { + "epoch": 0.57, + "learning_rate": 8.251242334627039e-06, + "loss": 0.9721, + "step": 2958 + }, + { + "epoch": 0.57, + "learning_rate": 8.245105408283162e-06, + "loss": 0.9534, + "step": 2959 + }, + { + "epoch": 0.57, + "learning_rate": 8.238969163790617e-06, + "loss": 0.9353, + "step": 2960 + }, + { + "epoch": 0.57, + "learning_rate": 8.232833603533601e-06, + "loss": 1.0031, + "step": 2961 + }, + { + "epoch": 0.57, + "learning_rate": 8.226698729896036e-06, + "loss": 0.9241, + "step": 2962 + }, + { + "epoch": 0.57, + "learning_rate": 8.220564545261585e-06, + "loss": 0.9355, + "step": 2963 + }, + { + "epoch": 0.57, + "learning_rate": 8.214431052013636e-06, + "loss": 0.9713, + "step": 2964 + }, + { + "epoch": 0.57, + "learning_rate": 8.208298252535314e-06, + "loss": 0.9613, + "step": 2965 + }, + { + "epoch": 0.57, + "learning_rate": 8.202166149209475e-06, + "loss": 0.9704, + "step": 2966 + }, + { + "epoch": 0.57, + "learning_rate": 8.1960347444187e-06, + "loss": 0.9691, + "step": 2967 + }, + { + "epoch": 0.57, + "learning_rate": 8.189904040545302e-06, + "loss": 0.9818, + "step": 2968 + }, + { + "epoch": 0.57, + "learning_rate": 8.183774039971322e-06, + "loss": 0.9166, + "step": 2969 + }, + { + "epoch": 0.57, + "learning_rate": 8.177644745078525e-06, + "loss": 0.973, + "step": 2970 + }, + { + "epoch": 0.57, + "learning_rate": 8.171516158248406e-06, + "loss": 0.9876, + "step": 2971 + }, + { + "epoch": 0.57, + "learning_rate": 8.165388281862177e-06, + "loss": 0.9337, + "step": 2972 + }, + { + "epoch": 0.57, + "learning_rate": 8.159261118300784e-06, + "loss": 1.0155, + "step": 2973 + }, + { + "epoch": 0.57, + "learning_rate": 8.153134669944887e-06, + "loss": 0.9124, + "step": 2974 + }, + { + "epoch": 0.57, + "learning_rate": 8.147008939174875e-06, + "loss": 0.9042, + "step": 2975 + }, + { + "epoch": 0.57, + "learning_rate": 8.140883928370855e-06, + "loss": 0.9922, + "step": 2976 + }, + { + "epoch": 0.57, + "learning_rate": 8.134759639912655e-06, + "loss": 0.9884, + "step": 2977 + }, + { + "epoch": 0.57, + "learning_rate": 8.12863607617982e-06, + "loss": 0.9897, + "step": 2978 + }, + { + "epoch": 0.57, + "learning_rate": 8.12251323955162e-06, + "loss": 0.9688, + "step": 2979 + }, + { + "epoch": 0.57, + "learning_rate": 8.116391132407033e-06, + "loss": 1.0347, + "step": 2980 + }, + { + "epoch": 0.57, + "learning_rate": 8.11026975712476e-06, + "loss": 0.9907, + "step": 2981 + }, + { + "epoch": 0.57, + "learning_rate": 8.104149116083216e-06, + "loss": 0.9033, + "step": 2982 + }, + { + "epoch": 0.57, + "learning_rate": 8.098029211660534e-06, + "loss": 1.0399, + "step": 2983 + }, + { + "epoch": 0.57, + "learning_rate": 8.091910046234552e-06, + "loss": 1.0096, + "step": 2984 + }, + { + "epoch": 0.57, + "learning_rate": 8.085791622182832e-06, + "loss": 1.0017, + "step": 2985 + }, + { + "epoch": 0.57, + "learning_rate": 8.079673941882639e-06, + "loss": 0.9616, + "step": 2986 + }, + { + "epoch": 0.57, + "learning_rate": 8.073557007710957e-06, + "loss": 1.0004, + "step": 2987 + }, + { + "epoch": 0.58, + "learning_rate": 8.06744082204447e-06, + "loss": 0.9267, + "step": 2988 + }, + { + "epoch": 0.58, + "learning_rate": 8.061325387259578e-06, + "loss": 1.013, + "step": 2989 + }, + { + "epoch": 0.58, + "learning_rate": 8.055210705732391e-06, + "loss": 0.8236, + "step": 2990 + }, + { + "epoch": 0.58, + "learning_rate": 8.04909677983872e-06, + "loss": 0.8889, + "step": 2991 + }, + { + "epoch": 0.58, + "learning_rate": 8.042983611954087e-06, + "loss": 0.923, + "step": 2992 + }, + { + "epoch": 0.58, + "learning_rate": 8.036871204453718e-06, + "loss": 0.9664, + "step": 2993 + }, + { + "epoch": 0.58, + "learning_rate": 8.030759559712545e-06, + "loss": 0.9261, + "step": 2994 + }, + { + "epoch": 0.58, + "learning_rate": 8.0246486801052e-06, + "loss": 0.965, + "step": 2995 + }, + { + "epoch": 0.58, + "learning_rate": 8.018538568006027e-06, + "loss": 0.9228, + "step": 2996 + }, + { + "epoch": 0.58, + "learning_rate": 8.012429225789055e-06, + "loss": 0.9239, + "step": 2997 + }, + { + "epoch": 0.58, + "learning_rate": 8.00632065582803e-06, + "loss": 0.9388, + "step": 2998 + }, + { + "epoch": 0.58, + "learning_rate": 8.00021286049639e-06, + "loss": 0.9536, + "step": 2999 + }, + { + "epoch": 0.58, + "learning_rate": 7.994105842167274e-06, + "loss": 1.0632, + "step": 3000 + }, + { + "epoch": 0.58, + "learning_rate": 7.987999603213518e-06, + "loss": 0.8266, + "step": 3001 + }, + { + "epoch": 0.58, + "learning_rate": 7.981894146007658e-06, + "loss": 0.9378, + "step": 3002 + }, + { + "epoch": 0.58, + "learning_rate": 7.975789472921922e-06, + "loss": 0.9375, + "step": 3003 + }, + { + "epoch": 0.58, + "learning_rate": 7.96968558632824e-06, + "loss": 0.9826, + "step": 3004 + }, + { + "epoch": 0.58, + "learning_rate": 7.963582488598227e-06, + "loss": 0.8987, + "step": 3005 + }, + { + "epoch": 0.58, + "learning_rate": 7.957480182103198e-06, + "loss": 0.9408, + "step": 3006 + }, + { + "epoch": 0.58, + "learning_rate": 7.95137866921416e-06, + "loss": 1.0077, + "step": 3007 + }, + { + "epoch": 0.58, + "learning_rate": 7.945277952301811e-06, + "loss": 0.9964, + "step": 3008 + }, + { + "epoch": 0.58, + "learning_rate": 7.939178033736538e-06, + "loss": 1.0228, + "step": 3009 + }, + { + "epoch": 0.58, + "learning_rate": 7.93307891588842e-06, + "loss": 0.9893, + "step": 3010 + }, + { + "epoch": 0.58, + "learning_rate": 7.926980601127225e-06, + "loss": 1.0073, + "step": 3011 + }, + { + "epoch": 0.58, + "learning_rate": 7.92088309182241e-06, + "loss": 0.9823, + "step": 3012 + }, + { + "epoch": 0.58, + "learning_rate": 7.914786390343112e-06, + "loss": 1.0398, + "step": 3013 + }, + { + "epoch": 0.58, + "learning_rate": 7.908690499058162e-06, + "loss": 0.9754, + "step": 3014 + }, + { + "epoch": 0.58, + "learning_rate": 7.902595420336074e-06, + "loss": 0.8603, + "step": 3015 + }, + { + "epoch": 0.58, + "learning_rate": 7.896501156545044e-06, + "loss": 0.8663, + "step": 3016 + }, + { + "epoch": 0.58, + "learning_rate": 7.890407710052957e-06, + "loss": 0.8929, + "step": 3017 + }, + { + "epoch": 0.58, + "learning_rate": 7.884315083227373e-06, + "loss": 0.975, + "step": 3018 + }, + { + "epoch": 0.58, + "learning_rate": 7.878223278435539e-06, + "loss": 0.9739, + "step": 3019 + }, + { + "epoch": 0.58, + "learning_rate": 7.872132298044382e-06, + "loss": 0.9738, + "step": 3020 + }, + { + "epoch": 0.58, + "learning_rate": 7.866042144420502e-06, + "loss": 0.8799, + "step": 3021 + }, + { + "epoch": 0.58, + "learning_rate": 7.859952819930188e-06, + "loss": 0.986, + "step": 3022 + }, + { + "epoch": 0.58, + "learning_rate": 7.853864326939403e-06, + "loss": 0.9553, + "step": 3023 + }, + { + "epoch": 0.58, + "learning_rate": 7.847776667813782e-06, + "loss": 0.9538, + "step": 3024 + }, + { + "epoch": 0.58, + "learning_rate": 7.841689844918643e-06, + "loss": 0.9943, + "step": 3025 + }, + { + "epoch": 0.58, + "learning_rate": 7.835603860618973e-06, + "loss": 1.0417, + "step": 3026 + }, + { + "epoch": 0.58, + "learning_rate": 7.829518717279439e-06, + "loss": 0.9167, + "step": 3027 + }, + { + "epoch": 0.58, + "learning_rate": 7.823434417264378e-06, + "loss": 0.9636, + "step": 3028 + }, + { + "epoch": 0.58, + "learning_rate": 7.817350962937802e-06, + "loss": 0.9233, + "step": 3029 + }, + { + "epoch": 0.58, + "learning_rate": 7.811268356663387e-06, + "loss": 1.0055, + "step": 3030 + }, + { + "epoch": 0.58, + "learning_rate": 7.805186600804489e-06, + "loss": 1.0083, + "step": 3031 + }, + { + "epoch": 0.58, + "learning_rate": 7.799105697724127e-06, + "loss": 1.0196, + "step": 3032 + }, + { + "epoch": 0.58, + "learning_rate": 7.793025649784991e-06, + "loss": 0.8599, + "step": 3033 + }, + { + "epoch": 0.58, + "learning_rate": 7.786946459349441e-06, + "loss": 1.0126, + "step": 3034 + }, + { + "epoch": 0.58, + "learning_rate": 7.780868128779499e-06, + "loss": 0.9827, + "step": 3035 + }, + { + "epoch": 0.58, + "learning_rate": 7.774790660436857e-06, + "loss": 0.9264, + "step": 3036 + }, + { + "epoch": 0.58, + "learning_rate": 7.768714056682873e-06, + "loss": 0.9371, + "step": 3037 + }, + { + "epoch": 0.58, + "learning_rate": 7.76263831987856e-06, + "loss": 0.9947, + "step": 3038 + }, + { + "epoch": 0.58, + "learning_rate": 7.756563452384605e-06, + "loss": 0.9176, + "step": 3039 + }, + { + "epoch": 0.59, + "learning_rate": 7.750489456561351e-06, + "loss": 0.9383, + "step": 3040 + }, + { + "epoch": 0.59, + "learning_rate": 7.744416334768809e-06, + "loss": 0.9592, + "step": 3041 + }, + { + "epoch": 0.59, + "learning_rate": 7.738344089366638e-06, + "loss": 0.9884, + "step": 3042 + }, + { + "epoch": 0.59, + "learning_rate": 7.73227272271417e-06, + "loss": 0.9493, + "step": 3043 + }, + { + "epoch": 0.59, + "learning_rate": 7.726202237170387e-06, + "loss": 0.9712, + "step": 3044 + }, + { + "epoch": 0.59, + "learning_rate": 7.720132635093935e-06, + "loss": 0.9014, + "step": 3045 + }, + { + "epoch": 0.59, + "learning_rate": 7.714063918843106e-06, + "loss": 0.9478, + "step": 3046 + }, + { + "epoch": 0.59, + "learning_rate": 7.70799609077586e-06, + "loss": 0.8245, + "step": 3047 + }, + { + "epoch": 0.59, + "learning_rate": 7.701929153249808e-06, + "loss": 0.8657, + "step": 3048 + }, + { + "epoch": 0.59, + "learning_rate": 7.695863108622208e-06, + "loss": 0.9427, + "step": 3049 + }, + { + "epoch": 0.59, + "learning_rate": 7.689797959249984e-06, + "loss": 0.9393, + "step": 3050 + }, + { + "epoch": 0.59, + "learning_rate": 7.6837337074897e-06, + "loss": 1.0057, + "step": 3051 + }, + { + "epoch": 0.59, + "learning_rate": 7.677670355697577e-06, + "loss": 0.9266, + "step": 3052 + }, + { + "epoch": 0.59, + "learning_rate": 7.671607906229488e-06, + "loss": 0.9588, + "step": 3053 + }, + { + "epoch": 0.59, + "learning_rate": 7.66554636144095e-06, + "loss": 1.0219, + "step": 3054 + }, + { + "epoch": 0.59, + "learning_rate": 7.659485723687131e-06, + "loss": 0.8671, + "step": 3055 + }, + { + "epoch": 0.59, + "learning_rate": 7.653425995322852e-06, + "loss": 1.0004, + "step": 3056 + }, + { + "epoch": 0.59, + "learning_rate": 7.647367178702568e-06, + "loss": 0.9719, + "step": 3057 + }, + { + "epoch": 0.59, + "learning_rate": 7.641309276180394e-06, + "loss": 0.9505, + "step": 3058 + }, + { + "epoch": 0.59, + "learning_rate": 7.635252290110082e-06, + "loss": 0.8941, + "step": 3059 + }, + { + "epoch": 0.59, + "learning_rate": 7.629196222845027e-06, + "loss": 0.9434, + "step": 3060 + }, + { + "epoch": 0.59, + "learning_rate": 7.623141076738271e-06, + "loss": 0.9371, + "step": 3061 + }, + { + "epoch": 0.59, + "learning_rate": 7.617086854142498e-06, + "loss": 0.9226, + "step": 3062 + }, + { + "epoch": 0.59, + "learning_rate": 7.611033557410027e-06, + "loss": 0.8993, + "step": 3063 + }, + { + "epoch": 0.59, + "learning_rate": 7.6049811888928235e-06, + "loss": 0.9597, + "step": 3064 + }, + { + "epoch": 0.59, + "learning_rate": 7.598929750942492e-06, + "loss": 0.9604, + "step": 3065 + }, + { + "epoch": 0.59, + "learning_rate": 7.592879245910273e-06, + "loss": 0.9612, + "step": 3066 + }, + { + "epoch": 0.59, + "learning_rate": 7.586829676147045e-06, + "loss": 0.9382, + "step": 3067 + }, + { + "epoch": 0.59, + "learning_rate": 7.580781044003324e-06, + "loss": 0.9791, + "step": 3068 + }, + { + "epoch": 0.59, + "learning_rate": 7.574733351829263e-06, + "loss": 1.0574, + "step": 3069 + }, + { + "epoch": 0.59, + "learning_rate": 7.5686866019746444e-06, + "loss": 0.8805, + "step": 3070 + }, + { + "epoch": 0.59, + "learning_rate": 7.562640796788893e-06, + "loss": 0.8853, + "step": 3071 + }, + { + "epoch": 0.59, + "learning_rate": 7.556595938621058e-06, + "loss": 0.9537, + "step": 3072 + }, + { + "epoch": 0.59, + "learning_rate": 7.550552029819828e-06, + "loss": 0.9613, + "step": 3073 + }, + { + "epoch": 0.59, + "learning_rate": 7.544509072733515e-06, + "loss": 0.9018, + "step": 3074 + }, + { + "epoch": 0.59, + "learning_rate": 7.53846706971007e-06, + "loss": 0.9586, + "step": 3075 + }, + { + "epoch": 0.59, + "learning_rate": 7.532426023097063e-06, + "loss": 0.9133, + "step": 3076 + }, + { + "epoch": 0.59, + "learning_rate": 7.5263859352417025e-06, + "loss": 0.9424, + "step": 3077 + }, + { + "epoch": 0.59, + "learning_rate": 7.5203468084908185e-06, + "loss": 0.9734, + "step": 3078 + }, + { + "epoch": 0.59, + "learning_rate": 7.514308645190867e-06, + "loss": 0.9237, + "step": 3079 + }, + { + "epoch": 0.59, + "learning_rate": 7.508271447687936e-06, + "loss": 0.9618, + "step": 3080 + }, + { + "epoch": 0.59, + "learning_rate": 7.50223521832773e-06, + "loss": 1.0047, + "step": 3081 + }, + { + "epoch": 0.59, + "learning_rate": 7.496199959455584e-06, + "loss": 0.8726, + "step": 3082 + }, + { + "epoch": 0.59, + "learning_rate": 7.490165673416455e-06, + "loss": 0.961, + "step": 3083 + }, + { + "epoch": 0.59, + "learning_rate": 7.484132362554915e-06, + "loss": 0.9473, + "step": 3084 + }, + { + "epoch": 0.59, + "learning_rate": 7.478100029215166e-06, + "loss": 0.9213, + "step": 3085 + }, + { + "epoch": 0.59, + "learning_rate": 7.472068675741024e-06, + "loss": 0.9191, + "step": 3086 + }, + { + "epoch": 0.59, + "learning_rate": 7.466038304475931e-06, + "loss": 0.9127, + "step": 3087 + }, + { + "epoch": 0.59, + "learning_rate": 7.4600089177629384e-06, + "loss": 1.0199, + "step": 3088 + }, + { + "epoch": 0.59, + "learning_rate": 7.4539805179447234e-06, + "loss": 0.9403, + "step": 3089 + }, + { + "epoch": 0.59, + "learning_rate": 7.447953107363574e-06, + "loss": 0.9518, + "step": 3090 + }, + { + "epoch": 0.59, + "learning_rate": 7.4419266883614e-06, + "loss": 0.9164, + "step": 3091 + }, + { + "epoch": 0.6, + "learning_rate": 7.435901263279717e-06, + "loss": 0.9027, + "step": 3092 + }, + { + "epoch": 0.6, + "learning_rate": 7.429876834459661e-06, + "loss": 0.9218, + "step": 3093 + }, + { + "epoch": 0.6, + "learning_rate": 7.4238534042419805e-06, + "loss": 0.9454, + "step": 3094 + }, + { + "epoch": 0.6, + "learning_rate": 7.417830974967034e-06, + "loss": 0.9619, + "step": 3095 + }, + { + "epoch": 0.6, + "learning_rate": 7.411809548974792e-06, + "loss": 0.88, + "step": 3096 + }, + { + "epoch": 0.6, + "learning_rate": 7.4057891286048356e-06, + "loss": 0.9146, + "step": 3097 + }, + { + "epoch": 0.6, + "learning_rate": 7.399769716196353e-06, + "loss": 0.9836, + "step": 3098 + }, + { + "epoch": 0.6, + "learning_rate": 7.393751314088147e-06, + "loss": 0.9678, + "step": 3099 + }, + { + "epoch": 0.6, + "learning_rate": 7.387733924618617e-06, + "loss": 0.9204, + "step": 3100 + }, + { + "epoch": 0.6, + "learning_rate": 7.38171755012578e-06, + "loss": 0.9335, + "step": 3101 + }, + { + "epoch": 0.6, + "learning_rate": 7.3757021929472495e-06, + "loss": 0.9323, + "step": 3102 + }, + { + "epoch": 0.6, + "learning_rate": 7.3696878554202525e-06, + "loss": 1.02, + "step": 3103 + }, + { + "epoch": 0.6, + "learning_rate": 7.3636745398816135e-06, + "loss": 0.927, + "step": 3104 + }, + { + "epoch": 0.6, + "learning_rate": 7.35766224866776e-06, + "loss": 0.9699, + "step": 3105 + }, + { + "epoch": 0.6, + "learning_rate": 7.3516509841147276e-06, + "loss": 0.9606, + "step": 3106 + }, + { + "epoch": 0.6, + "learning_rate": 7.345640748558146e-06, + "loss": 0.936, + "step": 3107 + }, + { + "epoch": 0.6, + "learning_rate": 7.33963154433325e-06, + "loss": 1.0244, + "step": 3108 + }, + { + "epoch": 0.6, + "learning_rate": 7.333623373774868e-06, + "loss": 0.9403, + "step": 3109 + }, + { + "epoch": 0.6, + "learning_rate": 7.327616239217432e-06, + "loss": 1.0174, + "step": 3110 + }, + { + "epoch": 0.6, + "learning_rate": 7.321610142994971e-06, + "loss": 0.9562, + "step": 3111 + }, + { + "epoch": 0.6, + "learning_rate": 7.315605087441107e-06, + "loss": 0.9808, + "step": 3112 + }, + { + "epoch": 0.6, + "learning_rate": 7.309601074889061e-06, + "loss": 0.9953, + "step": 3113 + }, + { + "epoch": 0.6, + "learning_rate": 7.303598107671648e-06, + "loss": 1.0414, + "step": 3114 + }, + { + "epoch": 0.6, + "learning_rate": 7.297596188121277e-06, + "loss": 0.9951, + "step": 3115 + }, + { + "epoch": 0.6, + "learning_rate": 7.291595318569951e-06, + "loss": 0.9514, + "step": 3116 + }, + { + "epoch": 0.6, + "learning_rate": 7.285595501349259e-06, + "loss": 0.9241, + "step": 3117 + }, + { + "epoch": 0.6, + "learning_rate": 7.279596738790389e-06, + "loss": 0.9167, + "step": 3118 + }, + { + "epoch": 0.6, + "learning_rate": 7.273599033224114e-06, + "loss": 0.8814, + "step": 3119 + }, + { + "epoch": 0.6, + "learning_rate": 7.267602386980801e-06, + "loss": 0.9441, + "step": 3120 + }, + { + "epoch": 0.6, + "learning_rate": 7.2616068023904e-06, + "loss": 0.9717, + "step": 3121 + }, + { + "epoch": 0.6, + "learning_rate": 7.255612281782451e-06, + "loss": 0.8567, + "step": 3122 + }, + { + "epoch": 0.6, + "learning_rate": 7.249618827486083e-06, + "loss": 0.9609, + "step": 3123 + }, + { + "epoch": 0.6, + "learning_rate": 7.243626441830009e-06, + "loss": 0.9913, + "step": 3124 + }, + { + "epoch": 0.6, + "learning_rate": 7.2376351271425235e-06, + "loss": 0.9588, + "step": 3125 + }, + { + "epoch": 0.6, + "learning_rate": 7.2316448857515076e-06, + "loss": 0.9497, + "step": 3126 + }, + { + "epoch": 0.6, + "learning_rate": 7.225655719984426e-06, + "loss": 1.0732, + "step": 3127 + }, + { + "epoch": 0.6, + "learning_rate": 7.219667632168326e-06, + "loss": 0.9219, + "step": 3128 + }, + { + "epoch": 0.6, + "learning_rate": 7.213680624629832e-06, + "loss": 0.9575, + "step": 3129 + }, + { + "epoch": 0.6, + "learning_rate": 7.207694699695155e-06, + "loss": 0.8884, + "step": 3130 + }, + { + "epoch": 0.6, + "learning_rate": 7.201709859690081e-06, + "loss": 0.906, + "step": 3131 + }, + { + "epoch": 0.6, + "learning_rate": 7.1957261069399745e-06, + "loss": 0.9399, + "step": 3132 + }, + { + "epoch": 0.6, + "learning_rate": 7.189743443769778e-06, + "loss": 0.918, + "step": 3133 + }, + { + "epoch": 0.6, + "learning_rate": 7.183761872504011e-06, + "loss": 1.0109, + "step": 3134 + }, + { + "epoch": 0.6, + "learning_rate": 7.1777813954667716e-06, + "loss": 0.9268, + "step": 3135 + }, + { + "epoch": 0.6, + "learning_rate": 7.171802014981726e-06, + "loss": 0.9849, + "step": 3136 + }, + { + "epoch": 0.6, + "learning_rate": 7.1658237333721216e-06, + "loss": 0.9615, + "step": 3137 + }, + { + "epoch": 0.6, + "learning_rate": 7.159846552960774e-06, + "loss": 0.9484, + "step": 3138 + }, + { + "epoch": 0.6, + "learning_rate": 7.153870476070073e-06, + "loss": 0.9208, + "step": 3139 + }, + { + "epoch": 0.6, + "learning_rate": 7.14789550502198e-06, + "loss": 1.0068, + "step": 3140 + }, + { + "epoch": 0.6, + "learning_rate": 7.141921642138025e-06, + "loss": 0.9163, + "step": 3141 + }, + { + "epoch": 0.6, + "learning_rate": 7.135948889739307e-06, + "loss": 1.0154, + "step": 3142 + }, + { + "epoch": 0.6, + "learning_rate": 7.129977250146496e-06, + "loss": 0.9011, + "step": 3143 + }, + { + "epoch": 0.61, + "learning_rate": 7.124006725679828e-06, + "loss": 0.9866, + "step": 3144 + }, + { + "epoch": 0.61, + "learning_rate": 7.118037318659108e-06, + "loss": 0.9337, + "step": 3145 + }, + { + "epoch": 0.61, + "learning_rate": 7.112069031403704e-06, + "loss": 1.0087, + "step": 3146 + }, + { + "epoch": 0.61, + "learning_rate": 7.106101866232546e-06, + "loss": 0.9433, + "step": 3147 + }, + { + "epoch": 0.61, + "learning_rate": 7.100135825464138e-06, + "loss": 0.956, + "step": 3148 + }, + { + "epoch": 0.61, + "learning_rate": 7.094170911416543e-06, + "loss": 0.9514, + "step": 3149 + }, + { + "epoch": 0.61, + "learning_rate": 7.088207126407374e-06, + "loss": 0.9796, + "step": 3150 + }, + { + "epoch": 0.61, + "learning_rate": 7.082244472753823e-06, + "loss": 0.9345, + "step": 3151 + }, + { + "epoch": 0.61, + "learning_rate": 7.076282952772634e-06, + "loss": 0.9384, + "step": 3152 + }, + { + "epoch": 0.61, + "learning_rate": 7.070322568780111e-06, + "loss": 0.9053, + "step": 3153 + }, + { + "epoch": 0.61, + "learning_rate": 7.064363323092117e-06, + "loss": 1.0291, + "step": 3154 + }, + { + "epoch": 0.61, + "learning_rate": 7.058405218024074e-06, + "loss": 0.9443, + "step": 3155 + }, + { + "epoch": 0.61, + "learning_rate": 7.052448255890958e-06, + "loss": 0.9859, + "step": 3156 + }, + { + "epoch": 0.61, + "learning_rate": 7.046492439007306e-06, + "loss": 1.007, + "step": 3157 + }, + { + "epoch": 0.61, + "learning_rate": 7.040537769687204e-06, + "loss": 0.8278, + "step": 3158 + }, + { + "epoch": 0.61, + "learning_rate": 7.034584250244292e-06, + "loss": 1.0064, + "step": 3159 + }, + { + "epoch": 0.61, + "learning_rate": 7.028631882991771e-06, + "loss": 0.9879, + "step": 3160 + }, + { + "epoch": 0.61, + "learning_rate": 7.022680670242387e-06, + "loss": 1.0063, + "step": 3161 + }, + { + "epoch": 0.61, + "learning_rate": 7.01673061430844e-06, + "loss": 0.8859, + "step": 3162 + }, + { + "epoch": 0.61, + "learning_rate": 7.01078171750178e-06, + "loss": 0.9324, + "step": 3163 + }, + { + "epoch": 0.61, + "learning_rate": 7.004833982133808e-06, + "loss": 0.9266, + "step": 3164 + }, + { + "epoch": 0.61, + "learning_rate": 6.998887410515473e-06, + "loss": 0.8411, + "step": 3165 + }, + { + "epoch": 0.61, + "learning_rate": 6.992942004957271e-06, + "loss": 0.9441, + "step": 3166 + }, + { + "epoch": 0.61, + "learning_rate": 6.986997767769243e-06, + "loss": 0.9786, + "step": 3167 + }, + { + "epoch": 0.61, + "learning_rate": 6.981054701260981e-06, + "loss": 0.9268, + "step": 3168 + }, + { + "epoch": 0.61, + "learning_rate": 6.97511280774162e-06, + "loss": 1.0444, + "step": 3169 + }, + { + "epoch": 0.61, + "learning_rate": 6.969172089519836e-06, + "loss": 1.0194, + "step": 3170 + }, + { + "epoch": 0.61, + "learning_rate": 6.963232548903853e-06, + "loss": 0.9361, + "step": 3171 + }, + { + "epoch": 0.61, + "learning_rate": 6.957294188201438e-06, + "loss": 0.9867, + "step": 3172 + }, + { + "epoch": 0.61, + "learning_rate": 6.951357009719893e-06, + "loss": 0.9612, + "step": 3173 + }, + { + "epoch": 0.61, + "learning_rate": 6.9454210157660694e-06, + "loss": 0.953, + "step": 3174 + }, + { + "epoch": 0.61, + "learning_rate": 6.939486208646349e-06, + "loss": 0.957, + "step": 3175 + }, + { + "epoch": 0.61, + "learning_rate": 6.933552590666659e-06, + "loss": 0.9877, + "step": 3176 + }, + { + "epoch": 0.61, + "learning_rate": 6.927620164132463e-06, + "loss": 0.9416, + "step": 3177 + }, + { + "epoch": 0.61, + "learning_rate": 6.921688931348762e-06, + "loss": 0.9224, + "step": 3178 + }, + { + "epoch": 0.61, + "learning_rate": 6.915758894620093e-06, + "loss": 0.9615, + "step": 3179 + }, + { + "epoch": 0.61, + "learning_rate": 6.909830056250527e-06, + "loss": 0.9482, + "step": 3180 + }, + { + "epoch": 0.61, + "learning_rate": 6.903902418543671e-06, + "loss": 0.9423, + "step": 3181 + }, + { + "epoch": 0.61, + "learning_rate": 6.8979759838026676e-06, + "loss": 1.0037, + "step": 3182 + }, + { + "epoch": 0.61, + "learning_rate": 6.892050754330181e-06, + "loss": 0.9607, + "step": 3183 + }, + { + "epoch": 0.61, + "learning_rate": 6.886126732428424e-06, + "loss": 0.9205, + "step": 3184 + }, + { + "epoch": 0.61, + "learning_rate": 6.8802039203991275e-06, + "loss": 0.9187, + "step": 3185 + }, + { + "epoch": 0.61, + "learning_rate": 6.874282320543557e-06, + "loss": 0.8884, + "step": 3186 + }, + { + "epoch": 0.61, + "learning_rate": 6.8683619351625065e-06, + "loss": 1.0201, + "step": 3187 + }, + { + "epoch": 0.61, + "learning_rate": 6.862442766556297e-06, + "loss": 0.9231, + "step": 3188 + }, + { + "epoch": 0.61, + "learning_rate": 6.85652481702478e-06, + "loss": 1.0045, + "step": 3189 + }, + { + "epoch": 0.61, + "learning_rate": 6.850608088867332e-06, + "loss": 0.9486, + "step": 3190 + }, + { + "epoch": 0.61, + "learning_rate": 6.844692584382848e-06, + "loss": 1.0449, + "step": 3191 + }, + { + "epoch": 0.61, + "learning_rate": 6.83877830586976e-06, + "loss": 1.0081, + "step": 3192 + }, + { + "epoch": 0.61, + "learning_rate": 6.832865255626013e-06, + "loss": 0.8793, + "step": 3193 + }, + { + "epoch": 0.61, + "learning_rate": 6.826953435949081e-06, + "loss": 0.9451, + "step": 3194 + }, + { + "epoch": 0.61, + "learning_rate": 6.821042849135957e-06, + "loss": 0.9493, + "step": 3195 + }, + { + "epoch": 0.62, + "learning_rate": 6.815133497483157e-06, + "loss": 0.9512, + "step": 3196 + }, + { + "epoch": 0.62, + "learning_rate": 6.809225383286715e-06, + "loss": 0.9316, + "step": 3197 + }, + { + "epoch": 0.62, + "learning_rate": 6.8033185088421874e-06, + "loss": 0.8932, + "step": 3198 + }, + { + "epoch": 0.62, + "learning_rate": 6.797412876444645e-06, + "loss": 0.8918, + "step": 3199 + }, + { + "epoch": 0.62, + "learning_rate": 6.791508488388675e-06, + "loss": 0.9704, + "step": 3200 + }, + { + "epoch": 0.62, + "learning_rate": 6.785605346968387e-06, + "loss": 1.0143, + "step": 3201 + }, + { + "epoch": 0.62, + "learning_rate": 6.779703454477402e-06, + "loss": 0.9236, + "step": 3202 + }, + { + "epoch": 0.62, + "learning_rate": 6.7738028132088565e-06, + "loss": 0.9132, + "step": 3203 + }, + { + "epoch": 0.62, + "learning_rate": 6.767903425455402e-06, + "loss": 0.964, + "step": 3204 + }, + { + "epoch": 0.62, + "learning_rate": 6.762005293509202e-06, + "loss": 0.9471, + "step": 3205 + }, + { + "epoch": 0.62, + "learning_rate": 6.7561084196619306e-06, + "loss": 1.0246, + "step": 3206 + }, + { + "epoch": 0.62, + "learning_rate": 6.750212806204778e-06, + "loss": 0.9803, + "step": 3207 + }, + { + "epoch": 0.62, + "learning_rate": 6.744318455428436e-06, + "loss": 0.9711, + "step": 3208 + }, + { + "epoch": 0.62, + "learning_rate": 6.738425369623115e-06, + "loss": 0.9121, + "step": 3209 + }, + { + "epoch": 0.62, + "learning_rate": 6.732533551078528e-06, + "loss": 0.956, + "step": 3210 + }, + { + "epoch": 0.62, + "learning_rate": 6.7266430020839e-06, + "loss": 0.9819, + "step": 3211 + }, + { + "epoch": 0.62, + "learning_rate": 6.720753724927957e-06, + "loss": 0.987, + "step": 3212 + }, + { + "epoch": 0.62, + "learning_rate": 6.714865721898938e-06, + "loss": 0.8917, + "step": 3213 + }, + { + "epoch": 0.62, + "learning_rate": 6.708978995284581e-06, + "loss": 0.856, + "step": 3214 + }, + { + "epoch": 0.62, + "learning_rate": 6.70309354737213e-06, + "loss": 0.9814, + "step": 3215 + }, + { + "epoch": 0.62, + "learning_rate": 6.697209380448333e-06, + "loss": 0.9131, + "step": 3216 + }, + { + "epoch": 0.62, + "learning_rate": 6.6913264967994375e-06, + "loss": 0.9237, + "step": 3217 + }, + { + "epoch": 0.62, + "learning_rate": 6.685444898711196e-06, + "loss": 0.9223, + "step": 3218 + }, + { + "epoch": 0.62, + "learning_rate": 6.679564588468861e-06, + "loss": 0.9428, + "step": 3219 + }, + { + "epoch": 0.62, + "learning_rate": 6.673685568357182e-06, + "loss": 0.8861, + "step": 3220 + }, + { + "epoch": 0.62, + "learning_rate": 6.66780784066041e-06, + "loss": 1.0148, + "step": 3221 + }, + { + "epoch": 0.62, + "learning_rate": 6.661931407662292e-06, + "loss": 0.914, + "step": 3222 + }, + { + "epoch": 0.62, + "learning_rate": 6.656056271646076e-06, + "loss": 1.0043, + "step": 3223 + }, + { + "epoch": 0.62, + "learning_rate": 6.650182434894496e-06, + "loss": 0.8734, + "step": 3224 + }, + { + "epoch": 0.62, + "learning_rate": 6.644309899689794e-06, + "loss": 0.9192, + "step": 3225 + }, + { + "epoch": 0.62, + "learning_rate": 6.638438668313695e-06, + "loss": 0.9979, + "step": 3226 + }, + { + "epoch": 0.62, + "learning_rate": 6.632568743047426e-06, + "loss": 0.9553, + "step": 3227 + }, + { + "epoch": 0.62, + "learning_rate": 6.6267001261717015e-06, + "loss": 0.9929, + "step": 3228 + }, + { + "epoch": 0.62, + "learning_rate": 6.6208328199667305e-06, + "loss": 1.0051, + "step": 3229 + }, + { + "epoch": 0.62, + "learning_rate": 6.614966826712212e-06, + "loss": 1.0066, + "step": 3230 + }, + { + "epoch": 0.62, + "learning_rate": 6.609102148687333e-06, + "loss": 0.9398, + "step": 3231 + }, + { + "epoch": 0.62, + "learning_rate": 6.603238788170771e-06, + "loss": 0.9393, + "step": 3232 + }, + { + "epoch": 0.62, + "learning_rate": 6.597376747440694e-06, + "loss": 0.9603, + "step": 3233 + }, + { + "epoch": 0.62, + "learning_rate": 6.59151602877475e-06, + "loss": 0.8792, + "step": 3234 + }, + { + "epoch": 0.62, + "learning_rate": 6.5856566344500815e-06, + "loss": 0.8915, + "step": 3235 + }, + { + "epoch": 0.62, + "learning_rate": 6.579798566743314e-06, + "loss": 1.0373, + "step": 3236 + }, + { + "epoch": 0.62, + "learning_rate": 6.573941827930551e-06, + "loss": 0.9764, + "step": 3237 + }, + { + "epoch": 0.62, + "learning_rate": 6.568086420287389e-06, + "loss": 0.9338, + "step": 3238 + }, + { + "epoch": 0.62, + "learning_rate": 6.562232346088903e-06, + "loss": 0.9562, + "step": 3239 + }, + { + "epoch": 0.62, + "learning_rate": 6.5563796076096484e-06, + "loss": 0.9114, + "step": 3240 + }, + { + "epoch": 0.62, + "learning_rate": 6.550528207123667e-06, + "loss": 0.9241, + "step": 3241 + }, + { + "epoch": 0.62, + "learning_rate": 6.544678146904475e-06, + "loss": 0.9612, + "step": 3242 + }, + { + "epoch": 0.62, + "learning_rate": 6.538829429225068e-06, + "loss": 0.9963, + "step": 3243 + }, + { + "epoch": 0.62, + "learning_rate": 6.532982056357928e-06, + "loss": 0.9048, + "step": 3244 + }, + { + "epoch": 0.62, + "learning_rate": 6.527136030575005e-06, + "loss": 0.9054, + "step": 3245 + }, + { + "epoch": 0.62, + "learning_rate": 6.521291354147727e-06, + "loss": 0.9151, + "step": 3246 + }, + { + "epoch": 0.62, + "learning_rate": 6.515448029347005e-06, + "loss": 0.9819, + "step": 3247 + }, + { + "epoch": 0.63, + "learning_rate": 6.5096060584432134e-06, + "loss": 0.785, + "step": 3248 + }, + { + "epoch": 0.63, + "learning_rate": 6.503765443706212e-06, + "loss": 0.964, + "step": 3249 + }, + { + "epoch": 0.63, + "learning_rate": 6.497926187405326e-06, + "loss": 0.9827, + "step": 3250 + }, + { + "epoch": 0.63, + "learning_rate": 6.492088291809355e-06, + "loss": 0.9825, + "step": 3251 + }, + { + "epoch": 0.63, + "learning_rate": 6.486251759186573e-06, + "loss": 0.9399, + "step": 3252 + }, + { + "epoch": 0.63, + "learning_rate": 6.48041659180472e-06, + "loss": 0.909, + "step": 3253 + }, + { + "epoch": 0.63, + "learning_rate": 6.474582791931006e-06, + "loss": 0.938, + "step": 3254 + }, + { + "epoch": 0.63, + "learning_rate": 6.468750361832112e-06, + "loss": 0.9662, + "step": 3255 + }, + { + "epoch": 0.63, + "learning_rate": 6.462919303774186e-06, + "loss": 0.9205, + "step": 3256 + }, + { + "epoch": 0.63, + "learning_rate": 6.4570896200228415e-06, + "loss": 0.9111, + "step": 3257 + }, + { + "epoch": 0.63, + "learning_rate": 6.45126131284316e-06, + "loss": 0.897, + "step": 3258 + }, + { + "epoch": 0.63, + "learning_rate": 6.445434384499687e-06, + "loss": 0.9045, + "step": 3259 + }, + { + "epoch": 0.63, + "learning_rate": 6.439608837256432e-06, + "loss": 0.9082, + "step": 3260 + }, + { + "epoch": 0.63, + "learning_rate": 6.43378467337687e-06, + "loss": 0.8846, + "step": 3261 + }, + { + "epoch": 0.63, + "learning_rate": 6.427961895123935e-06, + "loss": 0.9551, + "step": 3262 + }, + { + "epoch": 0.63, + "learning_rate": 6.422140504760025e-06, + "loss": 0.9284, + "step": 3263 + }, + { + "epoch": 0.63, + "learning_rate": 6.4163205045469975e-06, + "loss": 0.9646, + "step": 3264 + }, + { + "epoch": 0.63, + "learning_rate": 6.410501896746172e-06, + "loss": 0.8749, + "step": 3265 + }, + { + "epoch": 0.63, + "learning_rate": 6.404684683618325e-06, + "loss": 0.9386, + "step": 3266 + }, + { + "epoch": 0.63, + "learning_rate": 6.398868867423691e-06, + "loss": 0.9975, + "step": 3267 + }, + { + "epoch": 0.63, + "learning_rate": 6.393054450421963e-06, + "loss": 0.8777, + "step": 3268 + }, + { + "epoch": 0.63, + "learning_rate": 6.387241434872293e-06, + "loss": 0.9742, + "step": 3269 + }, + { + "epoch": 0.63, + "learning_rate": 6.381429823033281e-06, + "loss": 0.8242, + "step": 3270 + }, + { + "epoch": 0.63, + "learning_rate": 6.375619617162985e-06, + "loss": 0.8724, + "step": 3271 + }, + { + "epoch": 0.63, + "learning_rate": 6.36981081951892e-06, + "loss": 0.932, + "step": 3272 + }, + { + "epoch": 0.63, + "learning_rate": 6.364003432358051e-06, + "loss": 0.8854, + "step": 3273 + }, + { + "epoch": 0.63, + "learning_rate": 6.358197457936796e-06, + "loss": 0.8294, + "step": 3274 + }, + { + "epoch": 0.63, + "learning_rate": 6.3523928985110216e-06, + "loss": 0.9817, + "step": 3275 + }, + { + "epoch": 0.63, + "learning_rate": 6.34658975633605e-06, + "loss": 0.9372, + "step": 3276 + }, + { + "epoch": 0.63, + "learning_rate": 6.340788033666645e-06, + "loss": 0.8734, + "step": 3277 + }, + { + "epoch": 0.63, + "learning_rate": 6.334987732757028e-06, + "loss": 0.9446, + "step": 3278 + }, + { + "epoch": 0.63, + "learning_rate": 6.329188855860859e-06, + "loss": 0.9271, + "step": 3279 + }, + { + "epoch": 0.63, + "learning_rate": 6.32339140523125e-06, + "loss": 0.9329, + "step": 3280 + }, + { + "epoch": 0.63, + "learning_rate": 6.317595383120756e-06, + "loss": 0.8757, + "step": 3281 + }, + { + "epoch": 0.63, + "learning_rate": 6.311800791781381e-06, + "loss": 0.9575, + "step": 3282 + }, + { + "epoch": 0.63, + "learning_rate": 6.30600763346457e-06, + "loss": 0.9464, + "step": 3283 + }, + { + "epoch": 0.63, + "learning_rate": 6.300215910421212e-06, + "loss": 0.9725, + "step": 3284 + }, + { + "epoch": 0.63, + "learning_rate": 6.294425624901638e-06, + "loss": 0.9326, + "step": 3285 + }, + { + "epoch": 0.63, + "learning_rate": 6.288636779155621e-06, + "loss": 0.9015, + "step": 3286 + }, + { + "epoch": 0.63, + "learning_rate": 6.282849375432374e-06, + "loss": 0.9007, + "step": 3287 + }, + { + "epoch": 0.63, + "learning_rate": 6.277063415980549e-06, + "loss": 0.9948, + "step": 3288 + }, + { + "epoch": 0.63, + "learning_rate": 6.271278903048239e-06, + "loss": 0.9271, + "step": 3289 + }, + { + "epoch": 0.63, + "learning_rate": 6.265495838882973e-06, + "loss": 0.9517, + "step": 3290 + }, + { + "epoch": 0.63, + "learning_rate": 6.2597142257317185e-06, + "loss": 0.9713, + "step": 3291 + }, + { + "epoch": 0.63, + "learning_rate": 6.25393406584088e-06, + "loss": 0.9696, + "step": 3292 + }, + { + "epoch": 0.63, + "learning_rate": 6.248155361456293e-06, + "loss": 0.9268, + "step": 3293 + }, + { + "epoch": 0.63, + "learning_rate": 6.2423781148232345e-06, + "loss": 0.8867, + "step": 3294 + }, + { + "epoch": 0.63, + "learning_rate": 6.236602328186405e-06, + "loss": 0.9483, + "step": 3295 + }, + { + "epoch": 0.63, + "learning_rate": 6.230828003789949e-06, + "loss": 1.0041, + "step": 3296 + }, + { + "epoch": 0.63, + "learning_rate": 6.225055143877434e-06, + "loss": 0.8607, + "step": 3297 + }, + { + "epoch": 0.63, + "learning_rate": 6.219283750691864e-06, + "loss": 0.8935, + "step": 3298 + }, + { + "epoch": 0.63, + "learning_rate": 6.2135138264756715e-06, + "loss": 0.918, + "step": 3299 + }, + { + "epoch": 0.64, + "learning_rate": 6.207745373470717e-06, + "loss": 0.9341, + "step": 3300 + }, + { + "epoch": 0.64, + "learning_rate": 6.201978393918291e-06, + "loss": 0.8873, + "step": 3301 + }, + { + "epoch": 0.64, + "learning_rate": 6.196212890059111e-06, + "loss": 0.8658, + "step": 3302 + }, + { + "epoch": 0.64, + "learning_rate": 6.190448864133321e-06, + "loss": 0.8173, + "step": 3303 + }, + { + "epoch": 0.64, + "learning_rate": 6.184686318380488e-06, + "loss": 0.9806, + "step": 3304 + }, + { + "epoch": 0.64, + "learning_rate": 6.17892525503961e-06, + "loss": 1.0025, + "step": 3305 + }, + { + "epoch": 0.64, + "learning_rate": 6.173165676349103e-06, + "loss": 0.9384, + "step": 3306 + }, + { + "epoch": 0.64, + "learning_rate": 6.1674075845468114e-06, + "loss": 0.9028, + "step": 3307 + }, + { + "epoch": 0.64, + "learning_rate": 6.1616509818699975e-06, + "loss": 0.964, + "step": 3308 + }, + { + "epoch": 0.64, + "learning_rate": 6.155895870555348e-06, + "loss": 0.9351, + "step": 3309 + }, + { + "epoch": 0.64, + "learning_rate": 6.150142252838967e-06, + "loss": 0.8279, + "step": 3310 + }, + { + "epoch": 0.64, + "learning_rate": 6.144390130956384e-06, + "loss": 0.9614, + "step": 3311 + }, + { + "epoch": 0.64, + "learning_rate": 6.138639507142539e-06, + "loss": 0.8834, + "step": 3312 + }, + { + "epoch": 0.64, + "learning_rate": 6.132890383631796e-06, + "loss": 0.9481, + "step": 3313 + }, + { + "epoch": 0.64, + "learning_rate": 6.127142762657934e-06, + "loss": 0.9914, + "step": 3314 + }, + { + "epoch": 0.64, + "learning_rate": 6.12139664645415e-06, + "loss": 0.8761, + "step": 3315 + }, + { + "epoch": 0.64, + "learning_rate": 6.115652037253054e-06, + "loss": 0.9149, + "step": 3316 + }, + { + "epoch": 0.64, + "learning_rate": 6.109908937286673e-06, + "loss": 0.9883, + "step": 3317 + }, + { + "epoch": 0.64, + "learning_rate": 6.104167348786443e-06, + "loss": 0.9214, + "step": 3318 + }, + { + "epoch": 0.64, + "learning_rate": 6.098427273983221e-06, + "loss": 0.9455, + "step": 3319 + }, + { + "epoch": 0.64, + "learning_rate": 6.092688715107265e-06, + "loss": 0.9431, + "step": 3320 + }, + { + "epoch": 0.64, + "learning_rate": 6.086951674388252e-06, + "loss": 1.0202, + "step": 3321 + }, + { + "epoch": 0.64, + "learning_rate": 6.0812161540552675e-06, + "loss": 0.9538, + "step": 3322 + }, + { + "epoch": 0.64, + "learning_rate": 6.075482156336804e-06, + "loss": 0.9434, + "step": 3323 + }, + { + "epoch": 0.64, + "learning_rate": 6.069749683460765e-06, + "loss": 0.9884, + "step": 3324 + }, + { + "epoch": 0.64, + "learning_rate": 6.06401873765446e-06, + "loss": 1.0371, + "step": 3325 + }, + { + "epoch": 0.64, + "learning_rate": 6.058289321144608e-06, + "loss": 0.9157, + "step": 3326 + }, + { + "epoch": 0.64, + "learning_rate": 6.052561436157329e-06, + "loss": 0.9251, + "step": 3327 + }, + { + "epoch": 0.64, + "learning_rate": 6.046835084918152e-06, + "loss": 0.9344, + "step": 3328 + }, + { + "epoch": 0.64, + "learning_rate": 6.041110269652005e-06, + "loss": 0.8889, + "step": 3329 + }, + { + "epoch": 0.64, + "learning_rate": 6.0353869925832255e-06, + "loss": 1.0015, + "step": 3330 + }, + { + "epoch": 0.64, + "learning_rate": 6.02966525593555e-06, + "loss": 0.9555, + "step": 3331 + }, + { + "epoch": 0.64, + "learning_rate": 6.023945061932119e-06, + "loss": 0.9547, + "step": 3332 + }, + { + "epoch": 0.64, + "learning_rate": 6.018226412795469e-06, + "loss": 0.9361, + "step": 3333 + }, + { + "epoch": 0.64, + "learning_rate": 6.0125093107475385e-06, + "loss": 0.8952, + "step": 3334 + }, + { + "epoch": 0.64, + "learning_rate": 6.00679375800967e-06, + "loss": 0.9206, + "step": 3335 + }, + { + "epoch": 0.64, + "learning_rate": 6.001079756802592e-06, + "loss": 0.8892, + "step": 3336 + }, + { + "epoch": 0.64, + "learning_rate": 5.9953673093464425e-06, + "loss": 0.9651, + "step": 3337 + }, + { + "epoch": 0.64, + "learning_rate": 5.98965641786075e-06, + "loss": 0.9496, + "step": 3338 + }, + { + "epoch": 0.64, + "learning_rate": 5.983947084564439e-06, + "loss": 0.9418, + "step": 3339 + }, + { + "epoch": 0.64, + "learning_rate": 5.978239311675826e-06, + "loss": 0.8951, + "step": 3340 + }, + { + "epoch": 0.64, + "learning_rate": 5.97253310141263e-06, + "loss": 0.9251, + "step": 3341 + }, + { + "epoch": 0.64, + "learning_rate": 5.966828455991951e-06, + "loss": 0.8946, + "step": 3342 + }, + { + "epoch": 0.64, + "learning_rate": 5.96112537763029e-06, + "loss": 0.9509, + "step": 3343 + }, + { + "epoch": 0.64, + "learning_rate": 5.955423868543537e-06, + "loss": 0.9136, + "step": 3344 + }, + { + "epoch": 0.64, + "learning_rate": 5.949723930946967e-06, + "loss": 0.9178, + "step": 3345 + }, + { + "epoch": 0.64, + "learning_rate": 5.944025567055251e-06, + "loss": 0.8878, + "step": 3346 + }, + { + "epoch": 0.64, + "learning_rate": 5.9383287790824475e-06, + "loss": 1.0021, + "step": 3347 + }, + { + "epoch": 0.64, + "learning_rate": 5.932633569242e-06, + "loss": 0.8976, + "step": 3348 + }, + { + "epoch": 0.64, + "learning_rate": 5.92693993974674e-06, + "loss": 0.9627, + "step": 3349 + }, + { + "epoch": 0.64, + "learning_rate": 5.921247892808886e-06, + "loss": 0.8769, + "step": 3350 + }, + { + "epoch": 0.64, + "learning_rate": 5.91555743064004e-06, + "loss": 0.9679, + "step": 3351 + }, + { + "epoch": 0.65, + "learning_rate": 5.909868555451191e-06, + "loss": 0.9813, + "step": 3352 + }, + { + "epoch": 0.65, + "learning_rate": 5.904181269452707e-06, + "loss": 0.9696, + "step": 3353 + }, + { + "epoch": 0.65, + "learning_rate": 5.898495574854342e-06, + "loss": 0.9584, + "step": 3354 + }, + { + "epoch": 0.65, + "learning_rate": 5.89281147386523e-06, + "loss": 0.9771, + "step": 3355 + }, + { + "epoch": 0.65, + "learning_rate": 5.887128968693887e-06, + "loss": 0.9401, + "step": 3356 + }, + { + "epoch": 0.65, + "learning_rate": 5.881448061548208e-06, + "loss": 0.9461, + "step": 3357 + }, + { + "epoch": 0.65, + "learning_rate": 5.875768754635469e-06, + "loss": 0.8998, + "step": 3358 + }, + { + "epoch": 0.65, + "learning_rate": 5.870091050162321e-06, + "loss": 0.9331, + "step": 3359 + }, + { + "epoch": 0.65, + "learning_rate": 5.864414950334796e-06, + "loss": 0.9669, + "step": 3360 + }, + { + "epoch": 0.65, + "learning_rate": 5.858740457358298e-06, + "loss": 0.9462, + "step": 3361 + }, + { + "epoch": 0.65, + "learning_rate": 5.853067573437612e-06, + "loss": 1.0117, + "step": 3362 + }, + { + "epoch": 0.65, + "learning_rate": 5.847396300776893e-06, + "loss": 0.9624, + "step": 3363 + }, + { + "epoch": 0.65, + "learning_rate": 5.8417266415796745e-06, + "loss": 0.9338, + "step": 3364 + }, + { + "epoch": 0.65, + "learning_rate": 5.836058598048859e-06, + "loss": 1.0161, + "step": 3365 + }, + { + "epoch": 0.65, + "learning_rate": 5.830392172386723e-06, + "loss": 0.9254, + "step": 3366 + }, + { + "epoch": 0.65, + "learning_rate": 5.824727366794915e-06, + "loss": 0.9073, + "step": 3367 + }, + { + "epoch": 0.65, + "learning_rate": 5.819064183474451e-06, + "loss": 0.9884, + "step": 3368 + }, + { + "epoch": 0.65, + "learning_rate": 5.813402624625722e-06, + "loss": 0.9248, + "step": 3369 + }, + { + "epoch": 0.65, + "learning_rate": 5.807742692448483e-06, + "loss": 0.9453, + "step": 3370 + }, + { + "epoch": 0.65, + "learning_rate": 5.802084389141862e-06, + "loss": 0.9068, + "step": 3371 + }, + { + "epoch": 0.65, + "learning_rate": 5.796427716904347e-06, + "loss": 0.9176, + "step": 3372 + }, + { + "epoch": 0.65, + "learning_rate": 5.790772677933799e-06, + "loss": 0.9491, + "step": 3373 + }, + { + "epoch": 0.65, + "learning_rate": 5.78511927442744e-06, + "loss": 0.9951, + "step": 3374 + }, + { + "epoch": 0.65, + "learning_rate": 5.77946750858186e-06, + "loss": 0.9203, + "step": 3375 + }, + { + "epoch": 0.65, + "learning_rate": 5.773817382593008e-06, + "loss": 0.9251, + "step": 3376 + }, + { + "epoch": 0.65, + "learning_rate": 5.7681688986562e-06, + "loss": 1.0343, + "step": 3377 + }, + { + "epoch": 0.65, + "learning_rate": 5.7625220589661136e-06, + "loss": 0.9804, + "step": 3378 + }, + { + "epoch": 0.65, + "learning_rate": 5.756876865716787e-06, + "loss": 0.9494, + "step": 3379 + }, + { + "epoch": 0.65, + "learning_rate": 5.751233321101617e-06, + "loss": 0.8907, + "step": 3380 + }, + { + "epoch": 0.65, + "learning_rate": 5.745591427313365e-06, + "loss": 0.8963, + "step": 3381 + }, + { + "epoch": 0.65, + "learning_rate": 5.739951186544141e-06, + "loss": 1.0123, + "step": 3382 + }, + { + "epoch": 0.65, + "learning_rate": 5.7343126009854215e-06, + "loss": 0.9484, + "step": 3383 + }, + { + "epoch": 0.65, + "learning_rate": 5.728675672828037e-06, + "loss": 0.8973, + "step": 3384 + }, + { + "epoch": 0.65, + "learning_rate": 5.72304040426217e-06, + "loss": 0.9919, + "step": 3385 + }, + { + "epoch": 0.65, + "learning_rate": 5.717406797477371e-06, + "loss": 1.0105, + "step": 3386 + }, + { + "epoch": 0.65, + "learning_rate": 5.711774854662535e-06, + "loss": 1.0394, + "step": 3387 + }, + { + "epoch": 0.65, + "learning_rate": 5.706144578005908e-06, + "loss": 0.9574, + "step": 3388 + }, + { + "epoch": 0.65, + "learning_rate": 5.700515969695094e-06, + "loss": 0.9434, + "step": 3389 + }, + { + "epoch": 0.65, + "learning_rate": 5.694889031917047e-06, + "loss": 0.8963, + "step": 3390 + }, + { + "epoch": 0.65, + "learning_rate": 5.689263766858072e-06, + "loss": 0.9348, + "step": 3391 + }, + { + "epoch": 0.65, + "learning_rate": 5.683640176703824e-06, + "loss": 0.9248, + "step": 3392 + }, + { + "epoch": 0.65, + "learning_rate": 5.678018263639309e-06, + "loss": 0.9267, + "step": 3393 + }, + { + "epoch": 0.65, + "learning_rate": 5.672398029848881e-06, + "loss": 0.8945, + "step": 3394 + }, + { + "epoch": 0.65, + "learning_rate": 5.666779477516234e-06, + "loss": 0.9186, + "step": 3395 + }, + { + "epoch": 0.65, + "learning_rate": 5.66116260882442e-06, + "loss": 1.0128, + "step": 3396 + }, + { + "epoch": 0.65, + "learning_rate": 5.65554742595583e-06, + "loss": 0.9046, + "step": 3397 + }, + { + "epoch": 0.65, + "learning_rate": 5.6499339310922015e-06, + "loss": 0.9573, + "step": 3398 + }, + { + "epoch": 0.65, + "learning_rate": 5.6443221264146196e-06, + "loss": 0.9686, + "step": 3399 + }, + { + "epoch": 0.65, + "learning_rate": 5.638712014103507e-06, + "loss": 0.9453, + "step": 3400 + }, + { + "epoch": 0.65, + "learning_rate": 5.633103596338631e-06, + "loss": 0.9483, + "step": 3401 + }, + { + "epoch": 0.65, + "learning_rate": 5.627496875299102e-06, + "loss": 0.9908, + "step": 3402 + }, + { + "epoch": 0.65, + "learning_rate": 5.62189185316337e-06, + "loss": 0.842, + "step": 3403 + }, + { + "epoch": 0.66, + "learning_rate": 5.616288532109225e-06, + "loss": 0.9554, + "step": 3404 + }, + { + "epoch": 0.66, + "learning_rate": 5.610686914313796e-06, + "loss": 0.9023, + "step": 3405 + }, + { + "epoch": 0.66, + "learning_rate": 5.6050870019535496e-06, + "loss": 0.9537, + "step": 3406 + }, + { + "epoch": 0.66, + "learning_rate": 5.599488797204291e-06, + "loss": 0.9095, + "step": 3407 + }, + { + "epoch": 0.66, + "learning_rate": 5.5938923022411615e-06, + "loss": 0.9107, + "step": 3408 + }, + { + "epoch": 0.66, + "learning_rate": 5.588297519238637e-06, + "loss": 0.9791, + "step": 3409 + }, + { + "epoch": 0.66, + "learning_rate": 5.582704450370533e-06, + "loss": 0.9797, + "step": 3410 + }, + { + "epoch": 0.66, + "learning_rate": 5.5771130978099896e-06, + "loss": 0.8905, + "step": 3411 + }, + { + "epoch": 0.66, + "learning_rate": 5.571523463729487e-06, + "loss": 0.8184, + "step": 3412 + }, + { + "epoch": 0.66, + "learning_rate": 5.565935550300836e-06, + "loss": 1.0113, + "step": 3413 + }, + { + "epoch": 0.66, + "learning_rate": 5.560349359695181e-06, + "loss": 0.9689, + "step": 3414 + }, + { + "epoch": 0.66, + "learning_rate": 5.554764894082994e-06, + "loss": 0.9259, + "step": 3415 + }, + { + "epoch": 0.66, + "learning_rate": 5.549182155634076e-06, + "loss": 0.9205, + "step": 3416 + }, + { + "epoch": 0.66, + "learning_rate": 5.543601146517563e-06, + "loss": 0.8828, + "step": 3417 + }, + { + "epoch": 0.66, + "learning_rate": 5.5380218689019125e-06, + "loss": 0.9464, + "step": 3418 + }, + { + "epoch": 0.66, + "learning_rate": 5.532444324954911e-06, + "loss": 0.9437, + "step": 3419 + }, + { + "epoch": 0.66, + "learning_rate": 5.526868516843673e-06, + "loss": 0.8709, + "step": 3420 + }, + { + "epoch": 0.66, + "learning_rate": 5.521294446734637e-06, + "loss": 0.8455, + "step": 3421 + }, + { + "epoch": 0.66, + "learning_rate": 5.51572211679357e-06, + "loss": 0.9762, + "step": 3422 + }, + { + "epoch": 0.66, + "learning_rate": 5.510151529185554e-06, + "loss": 0.9877, + "step": 3423 + }, + { + "epoch": 0.66, + "learning_rate": 5.504582686075002e-06, + "loss": 1.0416, + "step": 3424 + }, + { + "epoch": 0.66, + "learning_rate": 5.499015589625649e-06, + "loss": 0.9859, + "step": 3425 + }, + { + "epoch": 0.66, + "learning_rate": 5.493450242000546e-06, + "loss": 0.9863, + "step": 3426 + }, + { + "epoch": 0.66, + "learning_rate": 5.4878866453620746e-06, + "loss": 0.9358, + "step": 3427 + }, + { + "epoch": 0.66, + "learning_rate": 5.4823248018719184e-06, + "loss": 0.9296, + "step": 3428 + }, + { + "epoch": 0.66, + "learning_rate": 5.4767647136910984e-06, + "loss": 0.9057, + "step": 3429 + }, + { + "epoch": 0.66, + "learning_rate": 5.471206382979941e-06, + "loss": 0.9502, + "step": 3430 + }, + { + "epoch": 0.66, + "learning_rate": 5.465649811898098e-06, + "loss": 0.8746, + "step": 3431 + }, + { + "epoch": 0.66, + "learning_rate": 5.460095002604533e-06, + "loss": 0.9942, + "step": 3432 + }, + { + "epoch": 0.66, + "learning_rate": 5.4545419572575265e-06, + "loss": 0.9313, + "step": 3433 + }, + { + "epoch": 0.66, + "learning_rate": 5.4489906780146716e-06, + "loss": 0.9655, + "step": 3434 + }, + { + "epoch": 0.66, + "learning_rate": 5.44344116703288e-06, + "loss": 0.8333, + "step": 3435 + }, + { + "epoch": 0.66, + "learning_rate": 5.43789342646837e-06, + "loss": 0.9792, + "step": 3436 + }, + { + "epoch": 0.66, + "learning_rate": 5.432347458476678e-06, + "loss": 0.9118, + "step": 3437 + }, + { + "epoch": 0.66, + "learning_rate": 5.4268032652126465e-06, + "loss": 0.9187, + "step": 3438 + }, + { + "epoch": 0.66, + "learning_rate": 5.421260848830432e-06, + "loss": 0.9677, + "step": 3439 + }, + { + "epoch": 0.66, + "learning_rate": 5.415720211483499e-06, + "loss": 0.901, + "step": 3440 + }, + { + "epoch": 0.66, + "learning_rate": 5.410181355324622e-06, + "loss": 0.9171, + "step": 3441 + }, + { + "epoch": 0.66, + "learning_rate": 5.404644282505882e-06, + "loss": 0.9684, + "step": 3442 + }, + { + "epoch": 0.66, + "learning_rate": 5.3991089951786725e-06, + "loss": 0.9158, + "step": 3443 + }, + { + "epoch": 0.66, + "learning_rate": 5.393575495493679e-06, + "loss": 0.9795, + "step": 3444 + }, + { + "epoch": 0.66, + "learning_rate": 5.388043785600907e-06, + "loss": 0.8712, + "step": 3445 + }, + { + "epoch": 0.66, + "learning_rate": 5.382513867649663e-06, + "loss": 0.9637, + "step": 3446 + }, + { + "epoch": 0.66, + "learning_rate": 5.376985743788552e-06, + "loss": 0.9694, + "step": 3447 + }, + { + "epoch": 0.66, + "learning_rate": 5.37145941616549e-06, + "loss": 0.9833, + "step": 3448 + }, + { + "epoch": 0.66, + "learning_rate": 5.365934886927687e-06, + "loss": 0.99, + "step": 3449 + }, + { + "epoch": 0.66, + "learning_rate": 5.360412158221661e-06, + "loss": 0.8553, + "step": 3450 + }, + { + "epoch": 0.66, + "learning_rate": 5.354891232193225e-06, + "loss": 0.9175, + "step": 3451 + }, + { + "epoch": 0.66, + "learning_rate": 5.349372110987496e-06, + "loss": 0.8551, + "step": 3452 + }, + { + "epoch": 0.66, + "learning_rate": 5.343854796748886e-06, + "loss": 0.8753, + "step": 3453 + }, + { + "epoch": 0.66, + "learning_rate": 5.338339291621109e-06, + "loss": 0.9429, + "step": 3454 + }, + { + "epoch": 0.66, + "learning_rate": 5.332825597747171e-06, + "loss": 0.986, + "step": 3455 + }, + { + "epoch": 0.67, + "learning_rate": 5.32731371726938e-06, + "loss": 0.9253, + "step": 3456 + }, + { + "epoch": 0.67, + "learning_rate": 5.321803652329334e-06, + "loss": 0.9256, + "step": 3457 + }, + { + "epoch": 0.67, + "learning_rate": 5.316295405067929e-06, + "loss": 0.9062, + "step": 3458 + }, + { + "epoch": 0.67, + "learning_rate": 5.3107889776253544e-06, + "loss": 0.9318, + "step": 3459 + }, + { + "epoch": 0.67, + "learning_rate": 5.305284372141095e-06, + "loss": 0.9374, + "step": 3460 + }, + { + "epoch": 0.67, + "learning_rate": 5.299781590753916e-06, + "loss": 0.9452, + "step": 3461 + }, + { + "epoch": 0.67, + "learning_rate": 5.294280635601889e-06, + "loss": 0.9363, + "step": 3462 + }, + { + "epoch": 0.67, + "learning_rate": 5.288781508822367e-06, + "loss": 0.8206, + "step": 3463 + }, + { + "epoch": 0.67, + "learning_rate": 5.283284212551997e-06, + "loss": 0.9379, + "step": 3464 + }, + { + "epoch": 0.67, + "learning_rate": 5.277788748926711e-06, + "loss": 0.9211, + "step": 3465 + }, + { + "epoch": 0.67, + "learning_rate": 5.2722951200817315e-06, + "loss": 1.0094, + "step": 3466 + }, + { + "epoch": 0.67, + "learning_rate": 5.2668033281515676e-06, + "loss": 1.0024, + "step": 3467 + }, + { + "epoch": 0.67, + "learning_rate": 5.2613133752700145e-06, + "loss": 0.9875, + "step": 3468 + }, + { + "epoch": 0.67, + "learning_rate": 5.2558252635701535e-06, + "loss": 0.8991, + "step": 3469 + }, + { + "epoch": 0.67, + "learning_rate": 5.250338995184348e-06, + "loss": 0.9538, + "step": 3470 + }, + { + "epoch": 0.67, + "learning_rate": 5.244854572244249e-06, + "loss": 0.9339, + "step": 3471 + }, + { + "epoch": 0.67, + "learning_rate": 5.239371996880786e-06, + "loss": 0.9511, + "step": 3472 + }, + { + "epoch": 0.67, + "learning_rate": 5.2338912712241785e-06, + "loss": 0.9237, + "step": 3473 + }, + { + "epoch": 0.67, + "learning_rate": 5.228412397403916e-06, + "loss": 0.9787, + "step": 3474 + }, + { + "epoch": 0.67, + "learning_rate": 5.222935377548777e-06, + "loss": 0.9302, + "step": 3475 + }, + { + "epoch": 0.67, + "learning_rate": 5.217460213786822e-06, + "loss": 0.9982, + "step": 3476 + }, + { + "epoch": 0.67, + "learning_rate": 5.211986908245374e-06, + "loss": 0.9144, + "step": 3477 + }, + { + "epoch": 0.67, + "learning_rate": 5.206515463051054e-06, + "loss": 0.9427, + "step": 3478 + }, + { + "epoch": 0.67, + "learning_rate": 5.201045880329749e-06, + "loss": 0.87, + "step": 3479 + }, + { + "epoch": 0.67, + "learning_rate": 5.195578162206627e-06, + "loss": 0.9256, + "step": 3480 + }, + { + "epoch": 0.67, + "learning_rate": 5.190112310806126e-06, + "loss": 0.8903, + "step": 3481 + }, + { + "epoch": 0.67, + "learning_rate": 5.184648328251965e-06, + "loss": 1.0645, + "step": 3482 + }, + { + "epoch": 0.67, + "learning_rate": 5.179186216667133e-06, + "loss": 0.9107, + "step": 3483 + }, + { + "epoch": 0.67, + "learning_rate": 5.1737259781738934e-06, + "loss": 1.0286, + "step": 3484 + }, + { + "epoch": 0.67, + "learning_rate": 5.1682676148937805e-06, + "loss": 0.948, + "step": 3485 + }, + { + "epoch": 0.67, + "learning_rate": 5.1628111289476025e-06, + "loss": 0.9921, + "step": 3486 + }, + { + "epoch": 0.67, + "learning_rate": 5.1573565224554365e-06, + "loss": 0.8918, + "step": 3487 + }, + { + "epoch": 0.67, + "learning_rate": 5.151903797536631e-06, + "loss": 0.9598, + "step": 3488 + }, + { + "epoch": 0.67, + "learning_rate": 5.146452956309798e-06, + "loss": 0.9646, + "step": 3489 + }, + { + "epoch": 0.67, + "learning_rate": 5.141004000892824e-06, + "loss": 0.8257, + "step": 3490 + }, + { + "epoch": 0.67, + "learning_rate": 5.135556933402862e-06, + "loss": 0.9675, + "step": 3491 + }, + { + "epoch": 0.67, + "learning_rate": 5.130111755956327e-06, + "loss": 0.938, + "step": 3492 + }, + { + "epoch": 0.67, + "learning_rate": 5.1246684706689074e-06, + "loss": 0.9156, + "step": 3493 + }, + { + "epoch": 0.67, + "learning_rate": 5.119227079655544e-06, + "loss": 0.9559, + "step": 3494 + }, + { + "epoch": 0.67, + "learning_rate": 5.1137875850304545e-06, + "loss": 0.9777, + "step": 3495 + }, + { + "epoch": 0.67, + "learning_rate": 5.108349988907111e-06, + "loss": 1.0177, + "step": 3496 + }, + { + "epoch": 0.67, + "learning_rate": 5.102914293398252e-06, + "loss": 0.9585, + "step": 3497 + }, + { + "epoch": 0.67, + "learning_rate": 5.097480500615879e-06, + "loss": 0.9099, + "step": 3498 + }, + { + "epoch": 0.67, + "learning_rate": 5.092048612671252e-06, + "loss": 0.9966, + "step": 3499 + }, + { + "epoch": 0.67, + "learning_rate": 5.086618631674888e-06, + "loss": 0.884, + "step": 3500 + }, + { + "epoch": 0.67, + "learning_rate": 5.081190559736569e-06, + "loss": 0.8841, + "step": 3501 + }, + { + "epoch": 0.67, + "learning_rate": 5.075764398965331e-06, + "loss": 1.0559, + "step": 3502 + }, + { + "epoch": 0.67, + "learning_rate": 5.070340151469468e-06, + "loss": 0.9071, + "step": 3503 + }, + { + "epoch": 0.67, + "learning_rate": 5.064917819356532e-06, + "loss": 0.9449, + "step": 3504 + }, + { + "epoch": 0.67, + "learning_rate": 5.059497404733331e-06, + "loss": 0.9036, + "step": 3505 + }, + { + "epoch": 0.67, + "learning_rate": 5.054078909705926e-06, + "loss": 0.9249, + "step": 3506 + }, + { + "epoch": 0.67, + "learning_rate": 5.048662336379635e-06, + "loss": 0.927, + "step": 3507 + }, + { + "epoch": 0.68, + "learning_rate": 5.043247686859024e-06, + "loss": 1.0133, + "step": 3508 + }, + { + "epoch": 0.68, + "learning_rate": 5.037834963247922e-06, + "loss": 1.0009, + "step": 3509 + }, + { + "epoch": 0.68, + "learning_rate": 5.032424167649394e-06, + "loss": 0.9723, + "step": 3510 + }, + { + "epoch": 0.68, + "learning_rate": 5.027015302165768e-06, + "loss": 0.9405, + "step": 3511 + }, + { + "epoch": 0.68, + "learning_rate": 5.021608368898621e-06, + "loss": 0.8425, + "step": 3512 + }, + { + "epoch": 0.68, + "learning_rate": 5.016203369948774e-06, + "loss": 0.9998, + "step": 3513 + }, + { + "epoch": 0.68, + "learning_rate": 5.0108003074163005e-06, + "loss": 0.8766, + "step": 3514 + }, + { + "epoch": 0.68, + "learning_rate": 5.005399183400521e-06, + "loss": 0.9515, + "step": 3515 + }, + { + "epoch": 0.68, + "learning_rate": 5.000000000000003e-06, + "loss": 0.9341, + "step": 3516 + }, + { + "epoch": 0.68, + "learning_rate": 4.994602759312557e-06, + "loss": 0.8986, + "step": 3517 + }, + { + "epoch": 0.68, + "learning_rate": 4.989207463435244e-06, + "loss": 0.9718, + "step": 3518 + }, + { + "epoch": 0.68, + "learning_rate": 4.9838141144643636e-06, + "loss": 0.9035, + "step": 3519 + }, + { + "epoch": 0.68, + "learning_rate": 4.978422714495465e-06, + "loss": 0.9046, + "step": 3520 + }, + { + "epoch": 0.68, + "learning_rate": 4.973033265623333e-06, + "loss": 0.9306, + "step": 3521 + }, + { + "epoch": 0.68, + "learning_rate": 4.967645769942e-06, + "loss": 0.962, + "step": 3522 + }, + { + "epoch": 0.68, + "learning_rate": 4.962260229544738e-06, + "loss": 0.9708, + "step": 3523 + }, + { + "epoch": 0.68, + "learning_rate": 4.956876646524059e-06, + "loss": 0.9181, + "step": 3524 + }, + { + "epoch": 0.68, + "learning_rate": 4.951495022971713e-06, + "loss": 0.9672, + "step": 3525 + }, + { + "epoch": 0.68, + "learning_rate": 4.946115360978696e-06, + "loss": 0.9089, + "step": 3526 + }, + { + "epoch": 0.68, + "learning_rate": 4.940737662635227e-06, + "loss": 0.9656, + "step": 3527 + }, + { + "epoch": 0.68, + "learning_rate": 4.935361930030774e-06, + "loss": 0.8894, + "step": 3528 + }, + { + "epoch": 0.68, + "learning_rate": 4.929988165254041e-06, + "loss": 0.911, + "step": 3529 + }, + { + "epoch": 0.68, + "learning_rate": 4.924616370392962e-06, + "loss": 0.9376, + "step": 3530 + }, + { + "epoch": 0.68, + "learning_rate": 4.919246547534709e-06, + "loss": 0.9675, + "step": 3531 + }, + { + "epoch": 0.68, + "learning_rate": 4.9138786987656865e-06, + "loss": 0.9987, + "step": 3532 + }, + { + "epoch": 0.68, + "learning_rate": 4.908512826171533e-06, + "loss": 0.9111, + "step": 3533 + }, + { + "epoch": 0.68, + "learning_rate": 4.9031489318371195e-06, + "loss": 0.8924, + "step": 3534 + }, + { + "epoch": 0.68, + "learning_rate": 4.897787017846547e-06, + "loss": 0.9426, + "step": 3535 + }, + { + "epoch": 0.68, + "learning_rate": 4.892427086283147e-06, + "loss": 0.8578, + "step": 3536 + }, + { + "epoch": 0.68, + "learning_rate": 4.887069139229481e-06, + "loss": 0.9972, + "step": 3537 + }, + { + "epoch": 0.68, + "learning_rate": 4.881713178767341e-06, + "loss": 1.0506, + "step": 3538 + }, + { + "epoch": 0.68, + "learning_rate": 4.8763592069777454e-06, + "loss": 0.9839, + "step": 3539 + }, + { + "epoch": 0.68, + "learning_rate": 4.871007225940939e-06, + "loss": 0.8988, + "step": 3540 + }, + { + "epoch": 0.68, + "learning_rate": 4.865657237736397e-06, + "loss": 0.9332, + "step": 3541 + }, + { + "epoch": 0.68, + "learning_rate": 4.860309244442821e-06, + "loss": 0.8465, + "step": 3542 + }, + { + "epoch": 0.68, + "learning_rate": 4.854963248138121e-06, + "loss": 0.9449, + "step": 3543 + }, + { + "epoch": 0.68, + "learning_rate": 4.849619250899458e-06, + "loss": 1.0026, + "step": 3544 + }, + { + "epoch": 0.68, + "learning_rate": 4.844277254803198e-06, + "loss": 0.9777, + "step": 3545 + }, + { + "epoch": 0.68, + "learning_rate": 4.838937261924933e-06, + "loss": 1.007, + "step": 3546 + }, + { + "epoch": 0.68, + "learning_rate": 4.83359927433948e-06, + "loss": 0.9904, + "step": 3547 + }, + { + "epoch": 0.68, + "learning_rate": 4.8282632941208725e-06, + "loss": 0.9833, + "step": 3548 + }, + { + "epoch": 0.68, + "learning_rate": 4.822929323342369e-06, + "loss": 1.0115, + "step": 3549 + }, + { + "epoch": 0.68, + "learning_rate": 4.817597364076441e-06, + "loss": 0.9408, + "step": 3550 + }, + { + "epoch": 0.68, + "learning_rate": 4.812267418394784e-06, + "loss": 0.8581, + "step": 3551 + }, + { + "epoch": 0.68, + "learning_rate": 4.806939488368308e-06, + "loss": 0.8889, + "step": 3552 + }, + { + "epoch": 0.68, + "learning_rate": 4.8016135760671435e-06, + "loss": 0.8564, + "step": 3553 + }, + { + "epoch": 0.68, + "learning_rate": 4.796289683560631e-06, + "loss": 0.8875, + "step": 3554 + }, + { + "epoch": 0.68, + "learning_rate": 4.790967812917334e-06, + "loss": 0.9007, + "step": 3555 + }, + { + "epoch": 0.68, + "learning_rate": 4.78564796620502e-06, + "loss": 0.9384, + "step": 3556 + }, + { + "epoch": 0.68, + "learning_rate": 4.7803301454906804e-06, + "loss": 0.9156, + "step": 3557 + }, + { + "epoch": 0.68, + "learning_rate": 4.775014352840512e-06, + "loss": 0.9187, + "step": 3558 + }, + { + "epoch": 0.68, + "learning_rate": 4.76970059031993e-06, + "loss": 0.8695, + "step": 3559 + }, + { + "epoch": 0.69, + "learning_rate": 4.764388859993556e-06, + "loss": 0.9984, + "step": 3560 + }, + { + "epoch": 0.69, + "learning_rate": 4.759079163925223e-06, + "loss": 0.9987, + "step": 3561 + }, + { + "epoch": 0.69, + "learning_rate": 4.753771504177976e-06, + "loss": 0.8892, + "step": 3562 + }, + { + "epoch": 0.69, + "learning_rate": 4.7484658828140665e-06, + "loss": 0.8609, + "step": 3563 + }, + { + "epoch": 0.69, + "learning_rate": 4.743162301894952e-06, + "loss": 0.929, + "step": 3564 + }, + { + "epoch": 0.69, + "learning_rate": 4.7378607634813045e-06, + "loss": 0.9388, + "step": 3565 + }, + { + "epoch": 0.69, + "learning_rate": 4.732561269632992e-06, + "loss": 0.8903, + "step": 3566 + }, + { + "epoch": 0.69, + "learning_rate": 4.727263822409099e-06, + "loss": 0.8882, + "step": 3567 + }, + { + "epoch": 0.69, + "learning_rate": 4.7219684238679066e-06, + "loss": 0.9034, + "step": 3568 + }, + { + "epoch": 0.69, + "learning_rate": 4.716675076066902e-06, + "loss": 1.0826, + "step": 3569 + }, + { + "epoch": 0.69, + "learning_rate": 4.711383781062779e-06, + "loss": 0.925, + "step": 3570 + }, + { + "epoch": 0.69, + "learning_rate": 4.706094540911429e-06, + "loss": 0.9498, + "step": 3571 + }, + { + "epoch": 0.69, + "learning_rate": 4.700807357667953e-06, + "loss": 0.954, + "step": 3572 + }, + { + "epoch": 0.69, + "learning_rate": 4.6955222333866365e-06, + "loss": 0.9482, + "step": 3573 + }, + { + "epoch": 0.69, + "learning_rate": 4.6902391701209826e-06, + "loss": 0.9883, + "step": 3574 + }, + { + "epoch": 0.69, + "learning_rate": 4.684958169923684e-06, + "loss": 0.9367, + "step": 3575 + }, + { + "epoch": 0.69, + "learning_rate": 4.679679234846636e-06, + "loss": 0.9391, + "step": 3576 + }, + { + "epoch": 0.69, + "learning_rate": 4.674402366940927e-06, + "loss": 0.9313, + "step": 3577 + }, + { + "epoch": 0.69, + "learning_rate": 4.669127568256851e-06, + "loss": 0.9748, + "step": 3578 + }, + { + "epoch": 0.69, + "learning_rate": 4.663854840843885e-06, + "loss": 0.9831, + "step": 3579 + }, + { + "epoch": 0.69, + "learning_rate": 4.658584186750713e-06, + "loss": 0.8635, + "step": 3580 + }, + { + "epoch": 0.69, + "learning_rate": 4.6533156080252076e-06, + "loss": 0.886, + "step": 3581 + }, + { + "epoch": 0.69, + "learning_rate": 4.648049106714434e-06, + "loss": 0.9199, + "step": 3582 + }, + { + "epoch": 0.69, + "learning_rate": 4.642784684864656e-06, + "loss": 0.9036, + "step": 3583 + }, + { + "epoch": 0.69, + "learning_rate": 4.637522344521323e-06, + "loss": 0.9133, + "step": 3584 + }, + { + "epoch": 0.69, + "learning_rate": 4.63226208772908e-06, + "loss": 0.9062, + "step": 3585 + }, + { + "epoch": 0.69, + "learning_rate": 4.627003916531761e-06, + "loss": 1.0538, + "step": 3586 + }, + { + "epoch": 0.69, + "learning_rate": 4.621747832972389e-06, + "loss": 0.9577, + "step": 3587 + }, + { + "epoch": 0.69, + "learning_rate": 4.616493839093179e-06, + "loss": 0.9191, + "step": 3588 + }, + { + "epoch": 0.69, + "learning_rate": 4.6112419369355255e-06, + "loss": 0.8672, + "step": 3589 + }, + { + "epoch": 0.69, + "learning_rate": 4.60599212854002e-06, + "loss": 0.9218, + "step": 3590 + }, + { + "epoch": 0.69, + "learning_rate": 4.600744415946438e-06, + "loss": 0.994, + "step": 3591 + }, + { + "epoch": 0.69, + "learning_rate": 4.595498801193736e-06, + "loss": 0.8685, + "step": 3592 + }, + { + "epoch": 0.69, + "learning_rate": 4.590255286320062e-06, + "loss": 0.9314, + "step": 3593 + }, + { + "epoch": 0.69, + "learning_rate": 4.5850138733627435e-06, + "loss": 0.9651, + "step": 3594 + }, + { + "epoch": 0.69, + "learning_rate": 4.5797745643582935e-06, + "loss": 0.996, + "step": 3595 + }, + { + "epoch": 0.69, + "learning_rate": 4.5745373613424075e-06, + "loss": 0.985, + "step": 3596 + }, + { + "epoch": 0.69, + "learning_rate": 4.5693022663499584e-06, + "loss": 0.9822, + "step": 3597 + }, + { + "epoch": 0.69, + "learning_rate": 4.564069281415009e-06, + "loss": 0.9153, + "step": 3598 + }, + { + "epoch": 0.69, + "learning_rate": 4.5588384085707925e-06, + "loss": 0.8727, + "step": 3599 + }, + { + "epoch": 0.69, + "learning_rate": 4.5536096498497295e-06, + "loss": 0.8985, + "step": 3600 + }, + { + "epoch": 0.69, + "learning_rate": 4.548383007283412e-06, + "loss": 1.0228, + "step": 3601 + }, + { + "epoch": 0.69, + "learning_rate": 4.543158482902617e-06, + "loss": 0.9681, + "step": 3602 + }, + { + "epoch": 0.69, + "learning_rate": 4.537936078737291e-06, + "loss": 1.0105, + "step": 3603 + }, + { + "epoch": 0.69, + "learning_rate": 4.532715796816565e-06, + "loss": 0.9404, + "step": 3604 + }, + { + "epoch": 0.69, + "learning_rate": 4.52749763916874e-06, + "loss": 0.9524, + "step": 3605 + }, + { + "epoch": 0.69, + "learning_rate": 4.522281607821288e-06, + "loss": 0.9394, + "step": 3606 + }, + { + "epoch": 0.69, + "learning_rate": 4.517067704800864e-06, + "loss": 0.9885, + "step": 3607 + }, + { + "epoch": 0.69, + "learning_rate": 4.511855932133289e-06, + "loss": 0.9291, + "step": 3608 + }, + { + "epoch": 0.69, + "learning_rate": 4.506646291843561e-06, + "loss": 0.9144, + "step": 3609 + }, + { + "epoch": 0.69, + "learning_rate": 4.501438785955845e-06, + "loss": 0.9258, + "step": 3610 + }, + { + "epoch": 0.69, + "learning_rate": 4.496233416493481e-06, + "loss": 0.9516, + "step": 3611 + }, + { + "epoch": 0.7, + "learning_rate": 4.491030185478976e-06, + "loss": 0.941, + "step": 3612 + }, + { + "epoch": 0.7, + "learning_rate": 4.4858290949340065e-06, + "loss": 0.9059, + "step": 3613 + }, + { + "epoch": 0.7, + "learning_rate": 4.480630146879419e-06, + "loss": 0.9042, + "step": 3614 + }, + { + "epoch": 0.7, + "learning_rate": 4.475433343335225e-06, + "loss": 0.9794, + "step": 3615 + }, + { + "epoch": 0.7, + "learning_rate": 4.470238686320606e-06, + "loss": 0.925, + "step": 3616 + }, + { + "epoch": 0.7, + "learning_rate": 4.4650461778539055e-06, + "loss": 0.8886, + "step": 3617 + }, + { + "epoch": 0.7, + "learning_rate": 4.459855819952635e-06, + "loss": 0.9603, + "step": 3618 + }, + { + "epoch": 0.7, + "learning_rate": 4.454667614633471e-06, + "loss": 0.9415, + "step": 3619 + }, + { + "epoch": 0.7, + "learning_rate": 4.449481563912252e-06, + "loss": 0.9095, + "step": 3620 + }, + { + "epoch": 0.7, + "learning_rate": 4.444297669803981e-06, + "loss": 0.966, + "step": 3621 + }, + { + "epoch": 0.7, + "learning_rate": 4.439115934322816e-06, + "loss": 0.8827, + "step": 3622 + }, + { + "epoch": 0.7, + "learning_rate": 4.433936359482087e-06, + "loss": 0.9986, + "step": 3623 + }, + { + "epoch": 0.7, + "learning_rate": 4.428758947294278e-06, + "loss": 0.906, + "step": 3624 + }, + { + "epoch": 0.7, + "learning_rate": 4.423583699771036e-06, + "loss": 0.9177, + "step": 3625 + }, + { + "epoch": 0.7, + "learning_rate": 4.418410618923163e-06, + "loss": 0.9979, + "step": 3626 + }, + { + "epoch": 0.7, + "learning_rate": 4.413239706760621e-06, + "loss": 0.9994, + "step": 3627 + }, + { + "epoch": 0.7, + "learning_rate": 4.408070965292534e-06, + "loss": 0.9669, + "step": 3628 + }, + { + "epoch": 0.7, + "learning_rate": 4.402904396527172e-06, + "loss": 0.9181, + "step": 3629 + }, + { + "epoch": 0.7, + "learning_rate": 4.397740002471973e-06, + "loss": 0.962, + "step": 3630 + }, + { + "epoch": 0.7, + "learning_rate": 4.392577785133521e-06, + "loss": 0.9073, + "step": 3631 + }, + { + "epoch": 0.7, + "learning_rate": 4.387417746517557e-06, + "loss": 0.954, + "step": 3632 + }, + { + "epoch": 0.7, + "learning_rate": 4.382259888628978e-06, + "loss": 0.9503, + "step": 3633 + }, + { + "epoch": 0.7, + "learning_rate": 4.377104213471831e-06, + "loss": 0.969, + "step": 3634 + }, + { + "epoch": 0.7, + "learning_rate": 4.371950723049314e-06, + "loss": 1.0222, + "step": 3635 + }, + { + "epoch": 0.7, + "learning_rate": 4.3667994193637794e-06, + "loss": 0.9225, + "step": 3636 + }, + { + "epoch": 0.7, + "learning_rate": 4.361650304416728e-06, + "loss": 0.9147, + "step": 3637 + }, + { + "epoch": 0.7, + "learning_rate": 4.356503380208812e-06, + "loss": 0.8917, + "step": 3638 + }, + { + "epoch": 0.7, + "learning_rate": 4.351358648739826e-06, + "loss": 0.9786, + "step": 3639 + }, + { + "epoch": 0.7, + "learning_rate": 4.34621611200872e-06, + "loss": 0.9394, + "step": 3640 + }, + { + "epoch": 0.7, + "learning_rate": 4.3410757720135886e-06, + "loss": 0.9177, + "step": 3641 + }, + { + "epoch": 0.7, + "learning_rate": 4.335937630751675e-06, + "loss": 0.9488, + "step": 3642 + }, + { + "epoch": 0.7, + "learning_rate": 4.330801690219361e-06, + "loss": 0.925, + "step": 3643 + }, + { + "epoch": 0.7, + "learning_rate": 4.325667952412184e-06, + "loss": 0.8544, + "step": 3644 + }, + { + "epoch": 0.7, + "learning_rate": 4.320536419324816e-06, + "loss": 0.9317, + "step": 3645 + }, + { + "epoch": 0.7, + "learning_rate": 4.315407092951078e-06, + "loss": 1.0176, + "step": 3646 + }, + { + "epoch": 0.7, + "learning_rate": 4.310279975283932e-06, + "loss": 0.9216, + "step": 3647 + }, + { + "epoch": 0.7, + "learning_rate": 4.305155068315481e-06, + "loss": 0.9656, + "step": 3648 + }, + { + "epoch": 0.7, + "learning_rate": 4.30003237403697e-06, + "loss": 0.9372, + "step": 3649 + }, + { + "epoch": 0.7, + "learning_rate": 4.2949118944387846e-06, + "loss": 0.9459, + "step": 3650 + }, + { + "epoch": 0.7, + "learning_rate": 4.289793631510449e-06, + "loss": 1.0041, + "step": 3651 + }, + { + "epoch": 0.7, + "learning_rate": 4.284677587240625e-06, + "loss": 0.9193, + "step": 3652 + }, + { + "epoch": 0.7, + "learning_rate": 4.2795637636171165e-06, + "loss": 0.9315, + "step": 3653 + }, + { + "epoch": 0.7, + "learning_rate": 4.27445216262686e-06, + "loss": 0.925, + "step": 3654 + }, + { + "epoch": 0.7, + "learning_rate": 4.2693427862559335e-06, + "loss": 0.934, + "step": 3655 + }, + { + "epoch": 0.7, + "learning_rate": 4.264235636489542e-06, + "loss": 0.8194, + "step": 3656 + }, + { + "epoch": 0.7, + "learning_rate": 4.2591307153120335e-06, + "loss": 0.9703, + "step": 3657 + }, + { + "epoch": 0.7, + "learning_rate": 4.254028024706887e-06, + "loss": 0.9292, + "step": 3658 + }, + { + "epoch": 0.7, + "learning_rate": 4.248927566656717e-06, + "loss": 0.8993, + "step": 3659 + }, + { + "epoch": 0.7, + "learning_rate": 4.2438293431432665e-06, + "loss": 0.8661, + "step": 3660 + }, + { + "epoch": 0.7, + "learning_rate": 4.238733356147414e-06, + "loss": 0.9088, + "step": 3661 + }, + { + "epoch": 0.7, + "learning_rate": 4.233639607649168e-06, + "loss": 0.9552, + "step": 3662 + }, + { + "epoch": 0.7, + "learning_rate": 4.228548099627665e-06, + "loss": 0.9553, + "step": 3663 + }, + { + "epoch": 0.71, + "learning_rate": 4.223458834061175e-06, + "loss": 0.9452, + "step": 3664 + }, + { + "epoch": 0.71, + "learning_rate": 4.218371812927092e-06, + "loss": 0.8605, + "step": 3665 + }, + { + "epoch": 0.71, + "learning_rate": 4.213287038201943e-06, + "loss": 0.8901, + "step": 3666 + }, + { + "epoch": 0.71, + "learning_rate": 4.208204511861379e-06, + "loss": 0.9782, + "step": 3667 + }, + { + "epoch": 0.71, + "learning_rate": 4.203124235880179e-06, + "loss": 0.897, + "step": 3668 + }, + { + "epoch": 0.71, + "learning_rate": 4.198046212232243e-06, + "loss": 0.9076, + "step": 3669 + }, + { + "epoch": 0.71, + "learning_rate": 4.192970442890602e-06, + "loss": 0.9226, + "step": 3670 + }, + { + "epoch": 0.71, + "learning_rate": 4.187896929827414e-06, + "loss": 0.8455, + "step": 3671 + }, + { + "epoch": 0.71, + "learning_rate": 4.182825675013945e-06, + "loss": 0.883, + "step": 3672 + }, + { + "epoch": 0.71, + "learning_rate": 4.1777566804206e-06, + "loss": 0.9362, + "step": 3673 + }, + { + "epoch": 0.71, + "learning_rate": 4.172689948016896e-06, + "loss": 0.9584, + "step": 3674 + }, + { + "epoch": 0.71, + "learning_rate": 4.167625479771476e-06, + "loss": 0.8711, + "step": 3675 + }, + { + "epoch": 0.71, + "learning_rate": 4.162563277652104e-06, + "loss": 0.9609, + "step": 3676 + }, + { + "epoch": 0.71, + "learning_rate": 4.157503343625659e-06, + "loss": 0.8711, + "step": 3677 + }, + { + "epoch": 0.71, + "learning_rate": 4.152445679658139e-06, + "loss": 0.9682, + "step": 3678 + }, + { + "epoch": 0.71, + "learning_rate": 4.147390287714667e-06, + "loss": 0.9608, + "step": 3679 + }, + { + "epoch": 0.71, + "learning_rate": 4.142337169759472e-06, + "loss": 0.9919, + "step": 3680 + }, + { + "epoch": 0.71, + "learning_rate": 4.137286327755913e-06, + "loss": 0.9134, + "step": 3681 + }, + { + "epoch": 0.71, + "learning_rate": 4.132237763666451e-06, + "loss": 1.0357, + "step": 3682 + }, + { + "epoch": 0.71, + "learning_rate": 4.1271914794526715e-06, + "loss": 0.8165, + "step": 3683 + }, + { + "epoch": 0.71, + "learning_rate": 4.12214747707527e-06, + "loss": 0.9073, + "step": 3684 + }, + { + "epoch": 0.71, + "learning_rate": 4.117105758494056e-06, + "loss": 0.9905, + "step": 3685 + }, + { + "epoch": 0.71, + "learning_rate": 4.112066325667954e-06, + "loss": 0.803, + "step": 3686 + }, + { + "epoch": 0.71, + "learning_rate": 4.107029180554996e-06, + "loss": 0.9807, + "step": 3687 + }, + { + "epoch": 0.71, + "learning_rate": 4.101994325112332e-06, + "loss": 0.938, + "step": 3688 + }, + { + "epoch": 0.71, + "learning_rate": 4.096961761296211e-06, + "loss": 0.8391, + "step": 3689 + }, + { + "epoch": 0.71, + "learning_rate": 4.0919314910620025e-06, + "loss": 0.9871, + "step": 3690 + }, + { + "epoch": 0.71, + "learning_rate": 4.086903516364179e-06, + "loss": 0.9447, + "step": 3691 + }, + { + "epoch": 0.71, + "learning_rate": 4.0818778391563255e-06, + "loss": 0.9617, + "step": 3692 + }, + { + "epoch": 0.71, + "learning_rate": 4.07685446139113e-06, + "loss": 0.9715, + "step": 3693 + }, + { + "epoch": 0.71, + "learning_rate": 4.07183338502039e-06, + "loss": 0.9704, + "step": 3694 + }, + { + "epoch": 0.71, + "learning_rate": 4.066814611995006e-06, + "loss": 0.9199, + "step": 3695 + }, + { + "epoch": 0.71, + "learning_rate": 4.061798144264986e-06, + "loss": 0.9096, + "step": 3696 + }, + { + "epoch": 0.71, + "learning_rate": 4.056783983779442e-06, + "loss": 0.9744, + "step": 3697 + }, + { + "epoch": 0.71, + "learning_rate": 4.051772132486589e-06, + "loss": 0.9061, + "step": 3698 + }, + { + "epoch": 0.71, + "learning_rate": 4.046762592333744e-06, + "loss": 0.9492, + "step": 3699 + }, + { + "epoch": 0.71, + "learning_rate": 4.041755365267323e-06, + "loss": 0.9677, + "step": 3700 + }, + { + "epoch": 0.71, + "learning_rate": 4.03675045323286e-06, + "loss": 0.9745, + "step": 3701 + }, + { + "epoch": 0.71, + "learning_rate": 4.0317478581749644e-06, + "loss": 0.9618, + "step": 3702 + }, + { + "epoch": 0.71, + "learning_rate": 4.02674758203736e-06, + "loss": 0.9489, + "step": 3703 + }, + { + "epoch": 0.71, + "learning_rate": 4.021749626762869e-06, + "loss": 0.8816, + "step": 3704 + }, + { + "epoch": 0.71, + "learning_rate": 4.01675399429341e-06, + "loss": 0.9463, + "step": 3705 + }, + { + "epoch": 0.71, + "learning_rate": 4.0117606865699975e-06, + "loss": 0.8623, + "step": 3706 + }, + { + "epoch": 0.71, + "learning_rate": 4.006769705532746e-06, + "loss": 0.9419, + "step": 3707 + }, + { + "epoch": 0.71, + "learning_rate": 4.001781053120863e-06, + "loss": 0.9628, + "step": 3708 + }, + { + "epoch": 0.71, + "learning_rate": 3.996794731272653e-06, + "loss": 0.8281, + "step": 3709 + }, + { + "epoch": 0.71, + "learning_rate": 3.991810741925515e-06, + "loss": 0.8665, + "step": 3710 + }, + { + "epoch": 0.71, + "learning_rate": 3.986829087015941e-06, + "loss": 0.9615, + "step": 3711 + }, + { + "epoch": 0.71, + "learning_rate": 3.981849768479516e-06, + "loss": 0.9035, + "step": 3712 + }, + { + "epoch": 0.71, + "learning_rate": 3.976872788250918e-06, + "loss": 0.8664, + "step": 3713 + }, + { + "epoch": 0.71, + "learning_rate": 3.971898148263915e-06, + "loss": 0.9461, + "step": 3714 + }, + { + "epoch": 0.71, + "learning_rate": 3.966925850451367e-06, + "loss": 0.9088, + "step": 3715 + }, + { + "epoch": 0.72, + "learning_rate": 3.961955896745224e-06, + "loss": 0.9502, + "step": 3716 + }, + { + "epoch": 0.72, + "learning_rate": 3.956988289076529e-06, + "loss": 0.8814, + "step": 3717 + }, + { + "epoch": 0.72, + "learning_rate": 3.9520230293754e-06, + "loss": 0.9162, + "step": 3718 + }, + { + "epoch": 0.72, + "learning_rate": 3.9470601195710575e-06, + "loss": 0.9358, + "step": 3719 + }, + { + "epoch": 0.72, + "learning_rate": 3.942099561591802e-06, + "loss": 0.9688, + "step": 3720 + }, + { + "epoch": 0.72, + "learning_rate": 3.937141357365023e-06, + "loss": 0.9668, + "step": 3721 + }, + { + "epoch": 0.72, + "learning_rate": 3.9321855088171934e-06, + "loss": 0.9177, + "step": 3722 + }, + { + "epoch": 0.72, + "learning_rate": 3.927232017873872e-06, + "loss": 0.9555, + "step": 3723 + }, + { + "epoch": 0.72, + "learning_rate": 3.922280886459701e-06, + "loss": 0.9114, + "step": 3724 + }, + { + "epoch": 0.72, + "learning_rate": 3.917332116498406e-06, + "loss": 0.9141, + "step": 3725 + }, + { + "epoch": 0.72, + "learning_rate": 3.912385709912794e-06, + "loss": 0.9216, + "step": 3726 + }, + { + "epoch": 0.72, + "learning_rate": 3.9074416686247554e-06, + "loss": 0.8817, + "step": 3727 + }, + { + "epoch": 0.72, + "learning_rate": 3.902499994555261e-06, + "loss": 0.9499, + "step": 3728 + }, + { + "epoch": 0.72, + "learning_rate": 3.897560689624362e-06, + "loss": 0.9153, + "step": 3729 + }, + { + "epoch": 0.72, + "learning_rate": 3.892623755751189e-06, + "loss": 0.893, + "step": 3730 + }, + { + "epoch": 0.72, + "learning_rate": 3.887689194853951e-06, + "loss": 0.9017, + "step": 3731 + }, + { + "epoch": 0.72, + "learning_rate": 3.882757008849936e-06, + "loss": 0.9817, + "step": 3732 + }, + { + "epoch": 0.72, + "learning_rate": 3.877827199655506e-06, + "loss": 0.9748, + "step": 3733 + }, + { + "epoch": 0.72, + "learning_rate": 3.872899769186107e-06, + "loss": 0.9928, + "step": 3734 + }, + { + "epoch": 0.72, + "learning_rate": 3.867974719356249e-06, + "loss": 0.9805, + "step": 3735 + }, + { + "epoch": 0.72, + "learning_rate": 3.8630520520795275e-06, + "loss": 0.9661, + "step": 3736 + }, + { + "epoch": 0.72, + "learning_rate": 3.858131769268607e-06, + "loss": 0.9182, + "step": 3737 + }, + { + "epoch": 0.72, + "learning_rate": 3.853213872835229e-06, + "loss": 0.8672, + "step": 3738 + }, + { + "epoch": 0.72, + "learning_rate": 3.848298364690204e-06, + "loss": 0.9234, + "step": 3739 + }, + { + "epoch": 0.72, + "learning_rate": 3.8433852467434175e-06, + "loss": 0.9937, + "step": 3740 + }, + { + "epoch": 0.72, + "learning_rate": 3.838474520903825e-06, + "loss": 0.9364, + "step": 3741 + }, + { + "epoch": 0.72, + "learning_rate": 3.833566189079453e-06, + "loss": 0.9516, + "step": 3742 + }, + { + "epoch": 0.72, + "learning_rate": 3.8286602531773975e-06, + "loss": 0.9454, + "step": 3743 + }, + { + "epoch": 0.72, + "learning_rate": 3.823756715103822e-06, + "loss": 0.8857, + "step": 3744 + }, + { + "epoch": 0.72, + "learning_rate": 3.8188555767639625e-06, + "loss": 0.9013, + "step": 3745 + }, + { + "epoch": 0.72, + "learning_rate": 3.8139568400621184e-06, + "loss": 0.8994, + "step": 3746 + }, + { + "epoch": 0.72, + "learning_rate": 3.8090605069016596e-06, + "loss": 0.9146, + "step": 3747 + }, + { + "epoch": 0.72, + "learning_rate": 3.804166579185018e-06, + "loss": 0.871, + "step": 3748 + }, + { + "epoch": 0.72, + "learning_rate": 3.799275058813694e-06, + "loss": 0.9274, + "step": 3749 + }, + { + "epoch": 0.72, + "learning_rate": 3.794385947688255e-06, + "loss": 0.9725, + "step": 3750 + }, + { + "epoch": 0.72, + "learning_rate": 3.7894992477083226e-06, + "loss": 0.9381, + "step": 3751 + }, + { + "epoch": 0.72, + "learning_rate": 3.78461496077259e-06, + "loss": 0.9559, + "step": 3752 + }, + { + "epoch": 0.72, + "learning_rate": 3.779733088778813e-06, + "loss": 0.9894, + "step": 3753 + }, + { + "epoch": 0.72, + "learning_rate": 3.774853633623806e-06, + "loss": 0.9665, + "step": 3754 + }, + { + "epoch": 0.72, + "learning_rate": 3.7699765972034442e-06, + "loss": 0.9079, + "step": 3755 + }, + { + "epoch": 0.72, + "learning_rate": 3.7651019814126656e-06, + "loss": 0.9013, + "step": 3756 + }, + { + "epoch": 0.72, + "learning_rate": 3.7602297881454653e-06, + "loss": 0.8603, + "step": 3757 + }, + { + "epoch": 0.72, + "learning_rate": 3.755360019294898e-06, + "loss": 0.934, + "step": 3758 + }, + { + "epoch": 0.72, + "learning_rate": 3.750492676753077e-06, + "loss": 0.9039, + "step": 3759 + }, + { + "epoch": 0.72, + "learning_rate": 3.7456277624111725e-06, + "loss": 0.8811, + "step": 3760 + }, + { + "epoch": 0.72, + "learning_rate": 3.7407652781594094e-06, + "loss": 0.9765, + "step": 3761 + }, + { + "epoch": 0.72, + "learning_rate": 3.735905225887072e-06, + "loss": 0.9995, + "step": 3762 + }, + { + "epoch": 0.72, + "learning_rate": 3.7310476074824966e-06, + "loss": 0.9697, + "step": 3763 + }, + { + "epoch": 0.72, + "learning_rate": 3.726192424833074e-06, + "loss": 0.9264, + "step": 3764 + }, + { + "epoch": 0.72, + "learning_rate": 3.7213396798252522e-06, + "loss": 0.9408, + "step": 3765 + }, + { + "epoch": 0.72, + "learning_rate": 3.7164893743445274e-06, + "loss": 0.8985, + "step": 3766 + }, + { + "epoch": 0.72, + "learning_rate": 3.7116415102754545e-06, + "loss": 0.9303, + "step": 3767 + }, + { + "epoch": 0.73, + "learning_rate": 3.7067960895016277e-06, + "loss": 0.8995, + "step": 3768 + }, + { + "epoch": 0.73, + "learning_rate": 3.701953113905703e-06, + "loss": 0.8962, + "step": 3769 + }, + { + "epoch": 0.73, + "learning_rate": 3.6971125853693834e-06, + "loss": 0.9493, + "step": 3770 + }, + { + "epoch": 0.73, + "learning_rate": 3.692274505773419e-06, + "loss": 0.8696, + "step": 3771 + }, + { + "epoch": 0.73, + "learning_rate": 3.687438876997612e-06, + "loss": 0.9203, + "step": 3772 + }, + { + "epoch": 0.73, + "learning_rate": 3.6826057009208083e-06, + "loss": 0.8575, + "step": 3773 + }, + { + "epoch": 0.73, + "learning_rate": 3.677774979420904e-06, + "loss": 0.9643, + "step": 3774 + }, + { + "epoch": 0.73, + "learning_rate": 3.67294671437484e-06, + "loss": 0.9581, + "step": 3775 + }, + { + "epoch": 0.73, + "learning_rate": 3.6681209076586035e-06, + "loss": 0.8507, + "step": 3776 + }, + { + "epoch": 0.73, + "learning_rate": 3.663297561147224e-06, + "loss": 0.886, + "step": 3777 + }, + { + "epoch": 0.73, + "learning_rate": 3.6584766767147796e-06, + "loss": 0.9652, + "step": 3778 + }, + { + "epoch": 0.73, + "learning_rate": 3.6536582562343893e-06, + "loss": 0.9089, + "step": 3779 + }, + { + "epoch": 0.73, + "learning_rate": 3.6488423015782128e-06, + "loss": 0.9171, + "step": 3780 + }, + { + "epoch": 0.73, + "learning_rate": 3.644028814617454e-06, + "loss": 0.8916, + "step": 3781 + }, + { + "epoch": 0.73, + "learning_rate": 3.6392177972223596e-06, + "loss": 0.8625, + "step": 3782 + }, + { + "epoch": 0.73, + "learning_rate": 3.6344092512622173e-06, + "loss": 0.8727, + "step": 3783 + }, + { + "epoch": 0.73, + "learning_rate": 3.6296031786053455e-06, + "loss": 0.9064, + "step": 3784 + }, + { + "epoch": 0.73, + "learning_rate": 3.6247995811191107e-06, + "loss": 0.9351, + "step": 3785 + }, + { + "epoch": 0.73, + "learning_rate": 3.619998460669916e-06, + "loss": 0.98, + "step": 3786 + }, + { + "epoch": 0.73, + "learning_rate": 3.6151998191232005e-06, + "loss": 0.8525, + "step": 3787 + }, + { + "epoch": 0.73, + "learning_rate": 3.610403658343443e-06, + "loss": 0.9587, + "step": 3788 + }, + { + "epoch": 0.73, + "learning_rate": 3.6056099801941535e-06, + "loss": 0.9523, + "step": 3789 + }, + { + "epoch": 0.73, + "learning_rate": 3.600818786537883e-06, + "loss": 0.8998, + "step": 3790 + }, + { + "epoch": 0.73, + "learning_rate": 3.5960300792362124e-06, + "loss": 0.8791, + "step": 3791 + }, + { + "epoch": 0.73, + "learning_rate": 3.591243860149759e-06, + "loss": 0.9537, + "step": 3792 + }, + { + "epoch": 0.73, + "learning_rate": 3.586460131138174e-06, + "loss": 0.9411, + "step": 3793 + }, + { + "epoch": 0.73, + "learning_rate": 3.5816788940601387e-06, + "loss": 0.9923, + "step": 3794 + }, + { + "epoch": 0.73, + "learning_rate": 3.576900150773368e-06, + "loss": 0.8892, + "step": 3795 + }, + { + "epoch": 0.73, + "learning_rate": 3.5721239031346067e-06, + "loss": 0.8812, + "step": 3796 + }, + { + "epoch": 0.73, + "learning_rate": 3.5673501529996314e-06, + "loss": 0.9687, + "step": 3797 + }, + { + "epoch": 0.73, + "learning_rate": 3.5625789022232473e-06, + "loss": 0.8624, + "step": 3798 + }, + { + "epoch": 0.73, + "learning_rate": 3.5578101526592877e-06, + "loss": 0.8615, + "step": 3799 + }, + { + "epoch": 0.73, + "learning_rate": 3.5530439061606202e-06, + "loss": 0.9622, + "step": 3800 + }, + { + "epoch": 0.73, + "learning_rate": 3.5482801645791266e-06, + "loss": 0.9294, + "step": 3801 + }, + { + "epoch": 0.73, + "learning_rate": 3.5435189297657267e-06, + "loss": 0.8932, + "step": 3802 + }, + { + "epoch": 0.73, + "learning_rate": 3.5387602035703637e-06, + "loss": 0.9744, + "step": 3803 + }, + { + "epoch": 0.73, + "learning_rate": 3.534003987842005e-06, + "loss": 0.9641, + "step": 3804 + }, + { + "epoch": 0.73, + "learning_rate": 3.5292502844286447e-06, + "loss": 0.91, + "step": 3805 + }, + { + "epoch": 0.73, + "learning_rate": 3.5244990951772972e-06, + "loss": 0.8689, + "step": 3806 + }, + { + "epoch": 0.73, + "learning_rate": 3.5197504219340027e-06, + "loss": 0.831, + "step": 3807 + }, + { + "epoch": 0.73, + "learning_rate": 3.5150042665438233e-06, + "loss": 0.9239, + "step": 3808 + }, + { + "epoch": 0.73, + "learning_rate": 3.5102606308508423e-06, + "loss": 0.9968, + "step": 3809 + }, + { + "epoch": 0.73, + "learning_rate": 3.505519516698165e-06, + "loss": 0.8794, + "step": 3810 + }, + { + "epoch": 0.73, + "learning_rate": 3.5007809259279146e-06, + "loss": 0.9508, + "step": 3811 + }, + { + "epoch": 0.73, + "learning_rate": 3.496044860381238e-06, + "loss": 0.9802, + "step": 3812 + }, + { + "epoch": 0.73, + "learning_rate": 3.4913113218982965e-06, + "loss": 0.8674, + "step": 3813 + }, + { + "epoch": 0.73, + "learning_rate": 3.486580312318273e-06, + "loss": 0.9152, + "step": 3814 + }, + { + "epoch": 0.73, + "learning_rate": 3.481851833479365e-06, + "loss": 0.8114, + "step": 3815 + }, + { + "epoch": 0.73, + "learning_rate": 3.4771258872187917e-06, + "loss": 0.9291, + "step": 3816 + }, + { + "epoch": 0.73, + "learning_rate": 3.472402475372778e-06, + "loss": 0.9949, + "step": 3817 + }, + { + "epoch": 0.73, + "learning_rate": 3.4676815997765756e-06, + "loss": 0.9181, + "step": 3818 + }, + { + "epoch": 0.73, + "learning_rate": 3.4629632622644437e-06, + "loss": 0.8973, + "step": 3819 + }, + { + "epoch": 0.74, + "learning_rate": 3.4582474646696575e-06, + "loss": 0.8464, + "step": 3820 + }, + { + "epoch": 0.74, + "learning_rate": 3.453534208824507e-06, + "loss": 0.9677, + "step": 3821 + }, + { + "epoch": 0.74, + "learning_rate": 3.448823496560292e-06, + "loss": 0.9736, + "step": 3822 + }, + { + "epoch": 0.74, + "learning_rate": 3.444115329707325e-06, + "loss": 0.9242, + "step": 3823 + }, + { + "epoch": 0.74, + "learning_rate": 3.4394097100949286e-06, + "loss": 0.9718, + "step": 3824 + }, + { + "epoch": 0.74, + "learning_rate": 3.4347066395514383e-06, + "loss": 0.9723, + "step": 3825 + }, + { + "epoch": 0.74, + "learning_rate": 3.4300061199041967e-06, + "loss": 0.9161, + "step": 3826 + }, + { + "epoch": 0.74, + "learning_rate": 3.425308152979555e-06, + "loss": 0.8714, + "step": 3827 + }, + { + "epoch": 0.74, + "learning_rate": 3.4206127406028744e-06, + "loss": 0.8039, + "step": 3828 + }, + { + "epoch": 0.74, + "learning_rate": 3.415919884598523e-06, + "loss": 0.9899, + "step": 3829 + }, + { + "epoch": 0.74, + "learning_rate": 3.411229586789876e-06, + "loss": 0.933, + "step": 3830 + }, + { + "epoch": 0.74, + "learning_rate": 3.4065418489993118e-06, + "loss": 0.9409, + "step": 3831 + }, + { + "epoch": 0.74, + "learning_rate": 3.401856673048217e-06, + "loss": 0.9203, + "step": 3832 + }, + { + "epoch": 0.74, + "learning_rate": 3.3971740607569868e-06, + "loss": 0.8752, + "step": 3833 + }, + { + "epoch": 0.74, + "learning_rate": 3.392494013945009e-06, + "loss": 1.0594, + "step": 3834 + }, + { + "epoch": 0.74, + "learning_rate": 3.3878165344306824e-06, + "loss": 0.9527, + "step": 3835 + }, + { + "epoch": 0.74, + "learning_rate": 3.3831416240314085e-06, + "loss": 0.9481, + "step": 3836 + }, + { + "epoch": 0.74, + "learning_rate": 3.378469284563589e-06, + "loss": 0.953, + "step": 3837 + }, + { + "epoch": 0.74, + "learning_rate": 3.3737995178426276e-06, + "loss": 0.9339, + "step": 3838 + }, + { + "epoch": 0.74, + "learning_rate": 3.3691323256829266e-06, + "loss": 1.0057, + "step": 3839 + }, + { + "epoch": 0.74, + "learning_rate": 3.3644677098978894e-06, + "loss": 0.9346, + "step": 3840 + }, + { + "epoch": 0.74, + "learning_rate": 3.3598056722999185e-06, + "loss": 0.8967, + "step": 3841 + }, + { + "epoch": 0.74, + "learning_rate": 3.3551462147004132e-06, + "loss": 0.9437, + "step": 3842 + }, + { + "epoch": 0.74, + "learning_rate": 3.3504893389097727e-06, + "loss": 0.9409, + "step": 3843 + }, + { + "epoch": 0.74, + "learning_rate": 3.3458350467373914e-06, + "loss": 0.8866, + "step": 3844 + }, + { + "epoch": 0.74, + "learning_rate": 3.3411833399916584e-06, + "loss": 0.9138, + "step": 3845 + }, + { + "epoch": 0.74, + "learning_rate": 3.3365342204799613e-06, + "loss": 1.0593, + "step": 3846 + }, + { + "epoch": 0.74, + "learning_rate": 3.3318876900086815e-06, + "loss": 0.8928, + "step": 3847 + }, + { + "epoch": 0.74, + "learning_rate": 3.3272437503831945e-06, + "loss": 0.9289, + "step": 3848 + }, + { + "epoch": 0.74, + "learning_rate": 3.3226024034078698e-06, + "loss": 0.9871, + "step": 3849 + }, + { + "epoch": 0.74, + "learning_rate": 3.3179636508860645e-06, + "loss": 0.9025, + "step": 3850 + }, + { + "epoch": 0.74, + "learning_rate": 3.3133274946201333e-06, + "loss": 0.9132, + "step": 3851 + }, + { + "epoch": 0.74, + "learning_rate": 3.308693936411421e-06, + "loss": 0.8925, + "step": 3852 + }, + { + "epoch": 0.74, + "learning_rate": 3.304062978060263e-06, + "loss": 0.9671, + "step": 3853 + }, + { + "epoch": 0.74, + "learning_rate": 3.2994346213659824e-06, + "loss": 0.9781, + "step": 3854 + }, + { + "epoch": 0.74, + "learning_rate": 3.294808868126894e-06, + "loss": 0.9429, + "step": 3855 + }, + { + "epoch": 0.74, + "learning_rate": 3.290185720140301e-06, + "loss": 0.877, + "step": 3856 + }, + { + "epoch": 0.74, + "learning_rate": 3.285565179202491e-06, + "loss": 0.9487, + "step": 3857 + }, + { + "epoch": 0.74, + "learning_rate": 3.280947247108741e-06, + "loss": 0.8771, + "step": 3858 + }, + { + "epoch": 0.74, + "learning_rate": 3.2763319256533177e-06, + "loss": 0.9628, + "step": 3859 + }, + { + "epoch": 0.74, + "learning_rate": 3.2717192166294685e-06, + "loss": 0.9088, + "step": 3860 + }, + { + "epoch": 0.74, + "learning_rate": 3.267109121829428e-06, + "loss": 0.9325, + "step": 3861 + }, + { + "epoch": 0.74, + "learning_rate": 3.262501643044417e-06, + "loss": 0.9749, + "step": 3862 + }, + { + "epoch": 0.74, + "learning_rate": 3.2578967820646313e-06, + "loss": 0.8842, + "step": 3863 + }, + { + "epoch": 0.74, + "learning_rate": 3.2532945406792573e-06, + "loss": 0.9409, + "step": 3864 + }, + { + "epoch": 0.74, + "learning_rate": 3.248694920676464e-06, + "loss": 0.976, + "step": 3865 + }, + { + "epoch": 0.74, + "learning_rate": 3.2440979238433977e-06, + "loss": 0.9624, + "step": 3866 + }, + { + "epoch": 0.74, + "learning_rate": 3.23950355196619e-06, + "loss": 0.9204, + "step": 3867 + }, + { + "epoch": 0.74, + "learning_rate": 3.234911806829948e-06, + "loss": 0.9654, + "step": 3868 + }, + { + "epoch": 0.74, + "learning_rate": 3.2303226902187625e-06, + "loss": 0.9253, + "step": 3869 + }, + { + "epoch": 0.74, + "learning_rate": 3.225736203915698e-06, + "loss": 0.9375, + "step": 3870 + }, + { + "epoch": 0.74, + "learning_rate": 3.221152349702802e-06, + "loss": 0.9533, + "step": 3871 + }, + { + "epoch": 0.75, + "learning_rate": 3.216571129361097e-06, + "loss": 0.876, + "step": 3872 + }, + { + "epoch": 0.75, + "learning_rate": 3.2119925446705824e-06, + "loss": 0.917, + "step": 3873 + }, + { + "epoch": 0.75, + "learning_rate": 3.2074165974102324e-06, + "loss": 0.89, + "step": 3874 + }, + { + "epoch": 0.75, + "learning_rate": 3.2028432893579975e-06, + "loss": 0.8435, + "step": 3875 + }, + { + "epoch": 0.75, + "learning_rate": 3.1982726222908046e-06, + "loss": 0.964, + "step": 3876 + }, + { + "epoch": 0.75, + "learning_rate": 3.1937045979845518e-06, + "loss": 0.9919, + "step": 3877 + }, + { + "epoch": 0.75, + "learning_rate": 3.1891392182141103e-06, + "loss": 0.9397, + "step": 3878 + }, + { + "epoch": 0.75, + "learning_rate": 3.1845764847533276e-06, + "loss": 0.9758, + "step": 3879 + }, + { + "epoch": 0.75, + "learning_rate": 3.1800163993750166e-06, + "loss": 0.8918, + "step": 3880 + }, + { + "epoch": 0.75, + "learning_rate": 3.1754589638509647e-06, + "loss": 0.9404, + "step": 3881 + }, + { + "epoch": 0.75, + "learning_rate": 3.1709041799519312e-06, + "loss": 0.8584, + "step": 3882 + }, + { + "epoch": 0.75, + "learning_rate": 3.166352049447644e-06, + "loss": 0.9379, + "step": 3883 + }, + { + "epoch": 0.75, + "learning_rate": 3.161802574106799e-06, + "loss": 0.9385, + "step": 3884 + }, + { + "epoch": 0.75, + "learning_rate": 3.157255755697062e-06, + "loss": 0.9275, + "step": 3885 + }, + { + "epoch": 0.75, + "learning_rate": 3.152711595985065e-06, + "loss": 0.9215, + "step": 3886 + }, + { + "epoch": 0.75, + "learning_rate": 3.148170096736408e-06, + "loss": 0.9485, + "step": 3887 + }, + { + "epoch": 0.75, + "learning_rate": 3.143631259715658e-06, + "loss": 0.8666, + "step": 3888 + }, + { + "epoch": 0.75, + "learning_rate": 3.1390950866863456e-06, + "loss": 0.9274, + "step": 3889 + }, + { + "epoch": 0.75, + "learning_rate": 3.134561579410966e-06, + "loss": 0.9459, + "step": 3890 + }, + { + "epoch": 0.75, + "learning_rate": 3.1300307396509833e-06, + "loss": 0.8713, + "step": 3891 + }, + { + "epoch": 0.75, + "learning_rate": 3.1255025691668184e-06, + "loss": 0.9462, + "step": 3892 + }, + { + "epoch": 0.75, + "learning_rate": 3.120977069717861e-06, + "loss": 0.9025, + "step": 3893 + }, + { + "epoch": 0.75, + "learning_rate": 3.116454243062459e-06, + "loss": 0.9722, + "step": 3894 + }, + { + "epoch": 0.75, + "learning_rate": 3.1119340909579265e-06, + "loss": 0.8947, + "step": 3895 + }, + { + "epoch": 0.75, + "learning_rate": 3.10741661516053e-06, + "loss": 1.0733, + "step": 3896 + }, + { + "epoch": 0.75, + "learning_rate": 3.102901817425504e-06, + "loss": 0.938, + "step": 3897 + }, + { + "epoch": 0.75, + "learning_rate": 3.0983896995070397e-06, + "loss": 0.97, + "step": 3898 + }, + { + "epoch": 0.75, + "learning_rate": 3.0938802631582865e-06, + "loss": 1.0216, + "step": 3899 + }, + { + "epoch": 0.75, + "learning_rate": 3.089373510131354e-06, + "loss": 0.934, + "step": 3900 + }, + { + "epoch": 0.75, + "learning_rate": 3.0848694421773075e-06, + "loss": 0.9061, + "step": 3901 + }, + { + "epoch": 0.75, + "learning_rate": 3.0803680610461674e-06, + "loss": 0.8698, + "step": 3902 + }, + { + "epoch": 0.75, + "learning_rate": 3.0758693684869147e-06, + "loss": 0.9301, + "step": 3903 + }, + { + "epoch": 0.75, + "learning_rate": 3.071373366247482e-06, + "loss": 0.9176, + "step": 3904 + }, + { + "epoch": 0.75, + "learning_rate": 3.066880056074758e-06, + "loss": 0.8496, + "step": 3905 + }, + { + "epoch": 0.75, + "learning_rate": 3.0623894397145837e-06, + "loss": 0.9669, + "step": 3906 + }, + { + "epoch": 0.75, + "learning_rate": 3.057901518911758e-06, + "loss": 0.9688, + "step": 3907 + }, + { + "epoch": 0.75, + "learning_rate": 3.0534162954100264e-06, + "loss": 0.9472, + "step": 3908 + }, + { + "epoch": 0.75, + "learning_rate": 3.0489337709520918e-06, + "loss": 0.9326, + "step": 3909 + }, + { + "epoch": 0.75, + "learning_rate": 3.044453947279603e-06, + "loss": 0.9544, + "step": 3910 + }, + { + "epoch": 0.75, + "learning_rate": 3.0399768261331664e-06, + "loss": 0.9803, + "step": 3911 + }, + { + "epoch": 0.75, + "learning_rate": 3.0355024092523334e-06, + "loss": 0.9426, + "step": 3912 + }, + { + "epoch": 0.75, + "learning_rate": 3.031030698375602e-06, + "loss": 0.9925, + "step": 3913 + }, + { + "epoch": 0.75, + "learning_rate": 3.0265616952404252e-06, + "loss": 0.9142, + "step": 3914 + }, + { + "epoch": 0.75, + "learning_rate": 3.0220954015832004e-06, + "loss": 1.0006, + "step": 3915 + }, + { + "epoch": 0.75, + "learning_rate": 3.017631819139273e-06, + "loss": 0.8594, + "step": 3916 + }, + { + "epoch": 0.75, + "learning_rate": 3.013170949642935e-06, + "loss": 0.9413, + "step": 3917 + }, + { + "epoch": 0.75, + "learning_rate": 3.0087127948274264e-06, + "loss": 0.9588, + "step": 3918 + }, + { + "epoch": 0.75, + "learning_rate": 3.004257356424927e-06, + "loss": 0.9573, + "step": 3919 + }, + { + "epoch": 0.75, + "learning_rate": 2.999804636166567e-06, + "loss": 0.9124, + "step": 3920 + }, + { + "epoch": 0.75, + "learning_rate": 2.995354635782417e-06, + "loss": 0.8898, + "step": 3921 + }, + { + "epoch": 0.75, + "learning_rate": 2.990907357001491e-06, + "loss": 0.8827, + "step": 3922 + }, + { + "epoch": 0.76, + "learning_rate": 2.986462801551748e-06, + "loss": 0.9333, + "step": 3923 + }, + { + "epoch": 0.76, + "learning_rate": 2.9820209711600858e-06, + "loss": 0.9203, + "step": 3924 + }, + { + "epoch": 0.76, + "learning_rate": 2.977581867552346e-06, + "loss": 0.9006, + "step": 3925 + }, + { + "epoch": 0.76, + "learning_rate": 2.9731454924533086e-06, + "loss": 0.9675, + "step": 3926 + }, + { + "epoch": 0.76, + "learning_rate": 2.9687118475866948e-06, + "loss": 0.9741, + "step": 3927 + }, + { + "epoch": 0.76, + "learning_rate": 2.9642809346751677e-06, + "loss": 0.8806, + "step": 3928 + }, + { + "epoch": 0.76, + "learning_rate": 2.9598527554403187e-06, + "loss": 0.9564, + "step": 3929 + }, + { + "epoch": 0.76, + "learning_rate": 2.9554273116026887e-06, + "loss": 0.9551, + "step": 3930 + }, + { + "epoch": 0.76, + "learning_rate": 2.95100460488175e-06, + "loss": 0.9442, + "step": 3931 + }, + { + "epoch": 0.76, + "learning_rate": 2.9465846369959126e-06, + "loss": 0.9184, + "step": 3932 + }, + { + "epoch": 0.76, + "learning_rate": 2.942167409662524e-06, + "loss": 0.9495, + "step": 3933 + }, + { + "epoch": 0.76, + "learning_rate": 2.937752924597864e-06, + "loss": 0.9442, + "step": 3934 + }, + { + "epoch": 0.76, + "learning_rate": 2.933341183517148e-06, + "loss": 0.9457, + "step": 3935 + }, + { + "epoch": 0.76, + "learning_rate": 2.9289321881345257e-06, + "loss": 0.944, + "step": 3936 + }, + { + "epoch": 0.76, + "learning_rate": 2.92452594016308e-06, + "loss": 0.8599, + "step": 3937 + }, + { + "epoch": 0.76, + "learning_rate": 2.9201224413148254e-06, + "loss": 0.8254, + "step": 3938 + }, + { + "epoch": 0.76, + "learning_rate": 2.9157216933007095e-06, + "loss": 0.9096, + "step": 3939 + }, + { + "epoch": 0.76, + "learning_rate": 2.91132369783061e-06, + "loss": 1.0128, + "step": 3940 + }, + { + "epoch": 0.76, + "learning_rate": 2.906928456613336e-06, + "loss": 0.975, + "step": 3941 + }, + { + "epoch": 0.76, + "learning_rate": 2.902535971356625e-06, + "loss": 0.9817, + "step": 3942 + }, + { + "epoch": 0.76, + "learning_rate": 2.898146243767146e-06, + "loss": 0.8767, + "step": 3943 + }, + { + "epoch": 0.76, + "learning_rate": 2.893759275550494e-06, + "loss": 0.9603, + "step": 3944 + }, + { + "epoch": 0.76, + "learning_rate": 2.8893750684111977e-06, + "loss": 0.9809, + "step": 3945 + }, + { + "epoch": 0.76, + "learning_rate": 2.884993624052701e-06, + "loss": 0.9091, + "step": 3946 + }, + { + "epoch": 0.76, + "learning_rate": 2.8806149441773844e-06, + "loss": 0.8366, + "step": 3947 + }, + { + "epoch": 0.76, + "learning_rate": 2.876239030486554e-06, + "loss": 0.889, + "step": 3948 + }, + { + "epoch": 0.76, + "learning_rate": 2.871865884680436e-06, + "loss": 0.9358, + "step": 3949 + }, + { + "epoch": 0.76, + "learning_rate": 2.867495508458186e-06, + "loss": 0.907, + "step": 3950 + }, + { + "epoch": 0.76, + "learning_rate": 2.8631279035178796e-06, + "loss": 0.8931, + "step": 3951 + }, + { + "epoch": 0.76, + "learning_rate": 2.8587630715565185e-06, + "loss": 0.9451, + "step": 3952 + }, + { + "epoch": 0.76, + "learning_rate": 2.8544010142700263e-06, + "loss": 0.96, + "step": 3953 + }, + { + "epoch": 0.76, + "learning_rate": 2.850041733353247e-06, + "loss": 0.9725, + "step": 3954 + }, + { + "epoch": 0.76, + "learning_rate": 2.845685230499948e-06, + "loss": 0.9331, + "step": 3955 + }, + { + "epoch": 0.76, + "learning_rate": 2.8413315074028157e-06, + "loss": 0.9148, + "step": 3956 + }, + { + "epoch": 0.76, + "learning_rate": 2.8369805657534576e-06, + "loss": 0.9071, + "step": 3957 + }, + { + "epoch": 0.76, + "learning_rate": 2.8326324072423994e-06, + "loss": 0.8649, + "step": 3958 + }, + { + "epoch": 0.76, + "learning_rate": 2.828287033559086e-06, + "loss": 0.9029, + "step": 3959 + }, + { + "epoch": 0.76, + "learning_rate": 2.823944446391881e-06, + "loss": 0.9371, + "step": 3960 + }, + { + "epoch": 0.76, + "learning_rate": 2.819604647428067e-06, + "loss": 0.9276, + "step": 3961 + }, + { + "epoch": 0.76, + "learning_rate": 2.8152676383538346e-06, + "loss": 0.9992, + "step": 3962 + }, + { + "epoch": 0.76, + "learning_rate": 2.8109334208542994e-06, + "loss": 0.9365, + "step": 3963 + }, + { + "epoch": 0.76, + "learning_rate": 2.8066019966134907e-06, + "loss": 0.8116, + "step": 3964 + }, + { + "epoch": 0.76, + "learning_rate": 2.8022733673143508e-06, + "loss": 0.9387, + "step": 3965 + }, + { + "epoch": 0.76, + "learning_rate": 2.7979475346387363e-06, + "loss": 0.7809, + "step": 3966 + }, + { + "epoch": 0.76, + "learning_rate": 2.793624500267418e-06, + "loss": 0.8966, + "step": 3967 + }, + { + "epoch": 0.76, + "learning_rate": 2.7893042658800793e-06, + "loss": 0.9747, + "step": 3968 + }, + { + "epoch": 0.76, + "learning_rate": 2.784986833155314e-06, + "loss": 0.9597, + "step": 3969 + }, + { + "epoch": 0.76, + "learning_rate": 2.78067220377063e-06, + "loss": 0.927, + "step": 3970 + }, + { + "epoch": 0.76, + "learning_rate": 2.776360379402445e-06, + "loss": 0.8937, + "step": 3971 + }, + { + "epoch": 0.76, + "learning_rate": 2.7720513617260857e-06, + "loss": 0.9865, + "step": 3972 + }, + { + "epoch": 0.76, + "learning_rate": 2.7677451524157882e-06, + "loss": 0.8904, + "step": 3973 + }, + { + "epoch": 0.76, + "learning_rate": 2.763441753144701e-06, + "loss": 0.8905, + "step": 3974 + }, + { + "epoch": 0.77, + "learning_rate": 2.7591411655848755e-06, + "loss": 0.9236, + "step": 3975 + }, + { + "epoch": 0.77, + "learning_rate": 2.7548433914072736e-06, + "loss": 0.9104, + "step": 3976 + }, + { + "epoch": 0.77, + "learning_rate": 2.7505484322817656e-06, + "loss": 0.9639, + "step": 3977 + }, + { + "epoch": 0.77, + "learning_rate": 2.746256289877126e-06, + "loss": 0.9326, + "step": 3978 + }, + { + "epoch": 0.77, + "learning_rate": 2.741966965861033e-06, + "loss": 0.9369, + "step": 3979 + }, + { + "epoch": 0.77, + "learning_rate": 2.7376804619000706e-06, + "loss": 0.9612, + "step": 3980 + }, + { + "epoch": 0.77, + "learning_rate": 2.7333967796597317e-06, + "loss": 0.8601, + "step": 3981 + }, + { + "epoch": 0.77, + "learning_rate": 2.729115920804408e-06, + "loss": 0.9313, + "step": 3982 + }, + { + "epoch": 0.77, + "learning_rate": 2.7248378869973946e-06, + "loss": 1.0449, + "step": 3983 + }, + { + "epoch": 0.77, + "learning_rate": 2.720562679900892e-06, + "loss": 0.9706, + "step": 3984 + }, + { + "epoch": 0.77, + "learning_rate": 2.716290301175999e-06, + "loss": 0.9215, + "step": 3985 + }, + { + "epoch": 0.77, + "learning_rate": 2.712020752482717e-06, + "loss": 0.9409, + "step": 3986 + }, + { + "epoch": 0.77, + "learning_rate": 2.707754035479948e-06, + "loss": 0.964, + "step": 3987 + }, + { + "epoch": 0.77, + "learning_rate": 2.703490151825492e-06, + "loss": 0.877, + "step": 3988 + }, + { + "epoch": 0.77, + "learning_rate": 2.699229103176052e-06, + "loss": 0.9025, + "step": 3989 + }, + { + "epoch": 0.77, + "learning_rate": 2.694970891187225e-06, + "loss": 0.8821, + "step": 3990 + }, + { + "epoch": 0.77, + "learning_rate": 2.690715517513508e-06, + "loss": 0.9209, + "step": 3991 + }, + { + "epoch": 0.77, + "learning_rate": 2.6864629838082957e-06, + "loss": 0.8768, + "step": 3992 + }, + { + "epoch": 0.77, + "learning_rate": 2.6822132917238785e-06, + "loss": 0.9534, + "step": 3993 + }, + { + "epoch": 0.77, + "learning_rate": 2.6779664429114448e-06, + "loss": 0.9563, + "step": 3994 + }, + { + "epoch": 0.77, + "learning_rate": 2.6737224390210726e-06, + "loss": 0.8757, + "step": 3995 + }, + { + "epoch": 0.77, + "learning_rate": 2.669481281701739e-06, + "loss": 0.8782, + "step": 3996 + }, + { + "epoch": 0.77, + "learning_rate": 2.6652429726013162e-06, + "loss": 0.9994, + "step": 3997 + }, + { + "epoch": 0.77, + "learning_rate": 2.661007513366567e-06, + "loss": 0.9041, + "step": 3998 + }, + { + "epoch": 0.77, + "learning_rate": 2.656774905643147e-06, + "loss": 0.8871, + "step": 3999 + }, + { + "epoch": 0.77, + "learning_rate": 2.652545151075606e-06, + "loss": 0.9555, + "step": 4000 + }, + { + "epoch": 0.77, + "learning_rate": 2.6483182513073835e-06, + "loss": 0.9019, + "step": 4001 + }, + { + "epoch": 0.77, + "learning_rate": 2.6440942079808096e-06, + "loss": 1.0057, + "step": 4002 + }, + { + "epoch": 0.77, + "learning_rate": 2.639873022737105e-06, + "loss": 0.8468, + "step": 4003 + }, + { + "epoch": 0.77, + "learning_rate": 2.635654697216382e-06, + "loss": 0.863, + "step": 4004 + }, + { + "epoch": 0.77, + "learning_rate": 2.631439233057638e-06, + "loss": 0.8962, + "step": 4005 + }, + { + "epoch": 0.77, + "learning_rate": 2.6272266318987606e-06, + "loss": 0.8628, + "step": 4006 + }, + { + "epoch": 0.77, + "learning_rate": 2.6230168953765257e-06, + "loss": 1.0219, + "step": 4007 + }, + { + "epoch": 0.77, + "learning_rate": 2.6188100251265947e-06, + "loss": 1.0048, + "step": 4008 + }, + { + "epoch": 0.77, + "learning_rate": 2.6146060227835156e-06, + "loss": 0.9631, + "step": 4009 + }, + { + "epoch": 0.77, + "learning_rate": 2.6104048899807243e-06, + "loss": 0.9009, + "step": 4010 + }, + { + "epoch": 0.77, + "learning_rate": 2.6062066283505404e-06, + "loss": 0.9499, + "step": 4011 + }, + { + "epoch": 0.77, + "learning_rate": 2.6020112395241627e-06, + "loss": 0.9068, + "step": 4012 + }, + { + "epoch": 0.77, + "learning_rate": 2.5978187251316823e-06, + "loss": 0.9065, + "step": 4013 + }, + { + "epoch": 0.77, + "learning_rate": 2.5936290868020685e-06, + "loss": 0.9722, + "step": 4014 + }, + { + "epoch": 0.77, + "learning_rate": 2.5894423261631717e-06, + "loss": 0.9662, + "step": 4015 + }, + { + "epoch": 0.77, + "learning_rate": 2.5852584448417327e-06, + "loss": 0.9336, + "step": 4016 + }, + { + "epoch": 0.77, + "learning_rate": 2.581077444463365e-06, + "loss": 0.8814, + "step": 4017 + }, + { + "epoch": 0.77, + "learning_rate": 2.5768993266525653e-06, + "loss": 0.8488, + "step": 4018 + }, + { + "epoch": 0.77, + "learning_rate": 2.5727240930327103e-06, + "loss": 0.8781, + "step": 4019 + }, + { + "epoch": 0.77, + "learning_rate": 2.5685517452260566e-06, + "loss": 0.9852, + "step": 4020 + }, + { + "epoch": 0.77, + "learning_rate": 2.564382284853738e-06, + "loss": 0.8888, + "step": 4021 + }, + { + "epoch": 0.77, + "learning_rate": 2.5602157135357697e-06, + "loss": 0.9354, + "step": 4022 + }, + { + "epoch": 0.77, + "learning_rate": 2.5560520328910397e-06, + "loss": 0.975, + "step": 4023 + }, + { + "epoch": 0.77, + "learning_rate": 2.55189124453732e-06, + "loss": 0.8925, + "step": 4024 + }, + { + "epoch": 0.77, + "learning_rate": 2.5477333500912473e-06, + "loss": 0.9105, + "step": 4025 + }, + { + "epoch": 0.77, + "learning_rate": 2.5435783511683444e-06, + "loss": 0.907, + "step": 4026 + }, + { + "epoch": 0.78, + "learning_rate": 2.539426249383006e-06, + "loss": 0.9502, + "step": 4027 + }, + { + "epoch": 0.78, + "learning_rate": 2.5352770463484986e-06, + "loss": 0.8969, + "step": 4028 + }, + { + "epoch": 0.78, + "learning_rate": 2.531130743676966e-06, + "loss": 0.9375, + "step": 4029 + }, + { + "epoch": 0.78, + "learning_rate": 2.5269873429794235e-06, + "loss": 0.8217, + "step": 4030 + }, + { + "epoch": 0.78, + "learning_rate": 2.5228468458657585e-06, + "loss": 0.9075, + "step": 4031 + }, + { + "epoch": 0.78, + "learning_rate": 2.51870925394473e-06, + "loss": 0.9287, + "step": 4032 + }, + { + "epoch": 0.78, + "learning_rate": 2.5145745688239696e-06, + "loss": 0.9448, + "step": 4033 + }, + { + "epoch": 0.78, + "learning_rate": 2.5104427921099783e-06, + "loss": 0.8898, + "step": 4034 + }, + { + "epoch": 0.78, + "learning_rate": 2.506313925408127e-06, + "loss": 0.9209, + "step": 4035 + }, + { + "epoch": 0.78, + "learning_rate": 2.502187970322657e-06, + "loss": 0.8329, + "step": 4036 + }, + { + "epoch": 0.78, + "learning_rate": 2.4980649284566783e-06, + "loss": 0.8545, + "step": 4037 + }, + { + "epoch": 0.78, + "learning_rate": 2.493944801412167e-06, + "loss": 0.9296, + "step": 4038 + }, + { + "epoch": 0.78, + "learning_rate": 2.489827590789968e-06, + "loss": 0.9066, + "step": 4039 + }, + { + "epoch": 0.78, + "learning_rate": 2.485713298189798e-06, + "loss": 0.8882, + "step": 4040 + }, + { + "epoch": 0.78, + "learning_rate": 2.4816019252102274e-06, + "loss": 0.9813, + "step": 4041 + }, + { + "epoch": 0.78, + "learning_rate": 2.4774934734487034e-06, + "loss": 0.8786, + "step": 4042 + }, + { + "epoch": 0.78, + "learning_rate": 2.473387944501533e-06, + "loss": 0.8919, + "step": 4043 + }, + { + "epoch": 0.78, + "learning_rate": 2.469285339963892e-06, + "loss": 0.9756, + "step": 4044 + }, + { + "epoch": 0.78, + "learning_rate": 2.4651856614298143e-06, + "loss": 0.8764, + "step": 4045 + }, + { + "epoch": 0.78, + "learning_rate": 2.461088910492202e-06, + "loss": 0.8138, + "step": 4046 + }, + { + "epoch": 0.78, + "learning_rate": 2.456995088742815e-06, + "loss": 0.9757, + "step": 4047 + }, + { + "epoch": 0.78, + "learning_rate": 2.45290419777228e-06, + "loss": 0.9514, + "step": 4048 + }, + { + "epoch": 0.78, + "learning_rate": 2.448816239170081e-06, + "loss": 0.9101, + "step": 4049 + }, + { + "epoch": 0.78, + "learning_rate": 2.444731214524565e-06, + "loss": 0.875, + "step": 4050 + }, + { + "epoch": 0.78, + "learning_rate": 2.440649125422937e-06, + "loss": 0.9697, + "step": 4051 + }, + { + "epoch": 0.78, + "learning_rate": 2.436569973451264e-06, + "loss": 0.9225, + "step": 4052 + }, + { + "epoch": 0.78, + "learning_rate": 2.432493760194469e-06, + "loss": 1.0086, + "step": 4053 + }, + { + "epoch": 0.78, + "learning_rate": 2.428420487236336e-06, + "loss": 0.9206, + "step": 4054 + }, + { + "epoch": 0.78, + "learning_rate": 2.4243501561595027e-06, + "loss": 0.7541, + "step": 4055 + }, + { + "epoch": 0.78, + "learning_rate": 2.420282768545469e-06, + "loss": 0.9692, + "step": 4056 + }, + { + "epoch": 0.78, + "learning_rate": 2.41621832597459e-06, + "loss": 0.9221, + "step": 4057 + }, + { + "epoch": 0.78, + "learning_rate": 2.412156830026069e-06, + "loss": 0.9123, + "step": 4058 + }, + { + "epoch": 0.78, + "learning_rate": 2.408098282277972e-06, + "loss": 0.8902, + "step": 4059 + }, + { + "epoch": 0.78, + "learning_rate": 2.4040426843072206e-06, + "loss": 0.9441, + "step": 4060 + }, + { + "epoch": 0.78, + "learning_rate": 2.3999900376895844e-06, + "loss": 0.9011, + "step": 4061 + }, + { + "epoch": 0.78, + "learning_rate": 2.395940343999691e-06, + "loss": 0.8274, + "step": 4062 + }, + { + "epoch": 0.78, + "learning_rate": 2.3918936048110197e-06, + "loss": 0.9398, + "step": 4063 + }, + { + "epoch": 0.78, + "learning_rate": 2.387849821695899e-06, + "loss": 0.9351, + "step": 4064 + }, + { + "epoch": 0.78, + "learning_rate": 2.3838089962255127e-06, + "loss": 0.9891, + "step": 4065 + }, + { + "epoch": 0.78, + "learning_rate": 2.3797711299698924e-06, + "loss": 0.8197, + "step": 4066 + }, + { + "epoch": 0.78, + "learning_rate": 2.375736224497922e-06, + "loss": 1.005, + "step": 4067 + }, + { + "epoch": 0.78, + "learning_rate": 2.371704281377335e-06, + "loss": 0.948, + "step": 4068 + }, + { + "epoch": 0.78, + "learning_rate": 2.3676753021747113e-06, + "loss": 0.8125, + "step": 4069 + }, + { + "epoch": 0.78, + "learning_rate": 2.363649288455482e-06, + "loss": 0.9364, + "step": 4070 + }, + { + "epoch": 0.78, + "learning_rate": 2.3596262417839256e-06, + "loss": 0.9296, + "step": 4071 + }, + { + "epoch": 0.78, + "learning_rate": 2.3556061637231653e-06, + "loss": 0.9469, + "step": 4072 + }, + { + "epoch": 0.78, + "learning_rate": 2.3515890558351773e-06, + "loss": 1.0139, + "step": 4073 + }, + { + "epoch": 0.78, + "learning_rate": 2.347574919680773e-06, + "loss": 0.9376, + "step": 4074 + }, + { + "epoch": 0.78, + "learning_rate": 2.343563756819619e-06, + "loss": 0.9484, + "step": 4075 + }, + { + "epoch": 0.78, + "learning_rate": 2.339555568810221e-06, + "loss": 0.8701, + "step": 4076 + }, + { + "epoch": 0.78, + "learning_rate": 2.3355503572099324e-06, + "loss": 0.9236, + "step": 4077 + }, + { + "epoch": 0.78, + "learning_rate": 2.3315481235749484e-06, + "loss": 0.9586, + "step": 4078 + }, + { + "epoch": 0.79, + "learning_rate": 2.3275488694603076e-06, + "loss": 0.9151, + "step": 4079 + }, + { + "epoch": 0.79, + "learning_rate": 2.323552596419889e-06, + "loss": 0.8858, + "step": 4080 + }, + { + "epoch": 0.79, + "learning_rate": 2.319559306006417e-06, + "loss": 0.9419, + "step": 4081 + }, + { + "epoch": 0.79, + "learning_rate": 2.315568999771455e-06, + "loss": 0.8898, + "step": 4082 + }, + { + "epoch": 0.79, + "learning_rate": 2.3115816792654057e-06, + "loss": 0.9042, + "step": 4083 + }, + { + "epoch": 0.79, + "learning_rate": 2.3075973460375134e-06, + "loss": 0.8673, + "step": 4084 + }, + { + "epoch": 0.79, + "learning_rate": 2.303616001635861e-06, + "loss": 0.9456, + "step": 4085 + }, + { + "epoch": 0.79, + "learning_rate": 2.2996376476073724e-06, + "loss": 0.943, + "step": 4086 + }, + { + "epoch": 0.79, + "learning_rate": 2.295662285497805e-06, + "loss": 0.8913, + "step": 4087 + }, + { + "epoch": 0.79, + "learning_rate": 2.291689916851758e-06, + "loss": 0.8739, + "step": 4088 + }, + { + "epoch": 0.79, + "learning_rate": 2.287720543212666e-06, + "loss": 0.9279, + "step": 4089 + }, + { + "epoch": 0.79, + "learning_rate": 2.2837541661228024e-06, + "loss": 0.9008, + "step": 4090 + }, + { + "epoch": 0.79, + "learning_rate": 2.2797907871232673e-06, + "loss": 0.9306, + "step": 4091 + }, + { + "epoch": 0.79, + "learning_rate": 2.275830407754006e-06, + "loss": 0.9281, + "step": 4092 + }, + { + "epoch": 0.79, + "learning_rate": 2.271873029553795e-06, + "loss": 0.8954, + "step": 4093 + }, + { + "epoch": 0.79, + "learning_rate": 2.267918654060244e-06, + "loss": 0.8747, + "step": 4094 + }, + { + "epoch": 0.79, + "learning_rate": 2.2639672828097956e-06, + "loss": 0.8961, + "step": 4095 + }, + { + "epoch": 0.79, + "learning_rate": 2.2600189173377263e-06, + "loss": 0.9379, + "step": 4096 + }, + { + "epoch": 0.79, + "learning_rate": 2.256073559178145e-06, + "loss": 0.889, + "step": 4097 + }, + { + "epoch": 0.79, + "learning_rate": 2.2521312098639914e-06, + "loss": 0.9071, + "step": 4098 + }, + { + "epoch": 0.79, + "learning_rate": 2.2481918709270347e-06, + "loss": 0.9355, + "step": 4099 + }, + { + "epoch": 0.79, + "learning_rate": 2.2442555438978774e-06, + "loss": 0.9214, + "step": 4100 + }, + { + "epoch": 0.79, + "learning_rate": 2.240322230305951e-06, + "loss": 0.8688, + "step": 4101 + }, + { + "epoch": 0.79, + "learning_rate": 2.2363919316795135e-06, + "loss": 0.9431, + "step": 4102 + }, + { + "epoch": 0.79, + "learning_rate": 2.2324646495456546e-06, + "loss": 0.8958, + "step": 4103 + }, + { + "epoch": 0.79, + "learning_rate": 2.2285403854302912e-06, + "loss": 0.9374, + "step": 4104 + }, + { + "epoch": 0.79, + "learning_rate": 2.224619140858166e-06, + "loss": 0.9385, + "step": 4105 + }, + { + "epoch": 0.79, + "learning_rate": 2.2207009173528528e-06, + "loss": 0.9975, + "step": 4106 + }, + { + "epoch": 0.79, + "learning_rate": 2.2167857164367424e-06, + "loss": 0.9677, + "step": 4107 + }, + { + "epoch": 0.79, + "learning_rate": 2.2128735396310606e-06, + "loss": 0.9666, + "step": 4108 + }, + { + "epoch": 0.79, + "learning_rate": 2.2089643884558553e-06, + "loss": 0.8944, + "step": 4109 + }, + { + "epoch": 0.79, + "learning_rate": 2.2050582644299976e-06, + "loss": 0.8274, + "step": 4110 + }, + { + "epoch": 0.79, + "learning_rate": 2.201155169071184e-06, + "loss": 0.9807, + "step": 4111 + }, + { + "epoch": 0.79, + "learning_rate": 2.1972551038959313e-06, + "loss": 0.9363, + "step": 4112 + }, + { + "epoch": 0.79, + "learning_rate": 2.1933580704195835e-06, + "loss": 0.9394, + "step": 4113 + }, + { + "epoch": 0.79, + "learning_rate": 2.189464070156302e-06, + "loss": 0.9567, + "step": 4114 + }, + { + "epoch": 0.79, + "learning_rate": 2.1855731046190732e-06, + "loss": 0.8949, + "step": 4115 + }, + { + "epoch": 0.79, + "learning_rate": 2.1816851753197023e-06, + "loss": 0.9352, + "step": 4116 + }, + { + "epoch": 0.79, + "learning_rate": 2.177800283768817e-06, + "loss": 0.9509, + "step": 4117 + }, + { + "epoch": 0.79, + "learning_rate": 2.173918431475861e-06, + "loss": 0.899, + "step": 4118 + }, + { + "epoch": 0.79, + "learning_rate": 2.1700396199491015e-06, + "loss": 0.9114, + "step": 4119 + }, + { + "epoch": 0.79, + "learning_rate": 2.1661638506956208e-06, + "loss": 0.9557, + "step": 4120 + }, + { + "epoch": 0.79, + "learning_rate": 2.1622911252213195e-06, + "loss": 0.9844, + "step": 4121 + }, + { + "epoch": 0.79, + "learning_rate": 2.1584214450309194e-06, + "loss": 0.9292, + "step": 4122 + }, + { + "epoch": 0.79, + "learning_rate": 2.1545548116279557e-06, + "loss": 0.831, + "step": 4123 + }, + { + "epoch": 0.79, + "learning_rate": 2.1506912265147772e-06, + "loss": 1.0084, + "step": 4124 + }, + { + "epoch": 0.79, + "learning_rate": 2.146830691192553e-06, + "loss": 0.9345, + "step": 4125 + }, + { + "epoch": 0.79, + "learning_rate": 2.1429732071612653e-06, + "loss": 0.9371, + "step": 4126 + }, + { + "epoch": 0.79, + "learning_rate": 2.1391187759197118e-06, + "loss": 0.9441, + "step": 4127 + }, + { + "epoch": 0.79, + "learning_rate": 2.1352673989655026e-06, + "loss": 0.9901, + "step": 4128 + }, + { + "epoch": 0.79, + "learning_rate": 2.131419077795063e-06, + "loss": 0.9162, + "step": 4129 + }, + { + "epoch": 0.79, + "learning_rate": 2.1275738139036274e-06, + "loss": 0.9807, + "step": 4130 + }, + { + "epoch": 0.8, + "learning_rate": 2.1237316087852465e-06, + "loss": 0.908, + "step": 4131 + }, + { + "epoch": 0.8, + "learning_rate": 2.119892463932781e-06, + "loss": 0.9193, + "step": 4132 + }, + { + "epoch": 0.8, + "learning_rate": 2.116056380837902e-06, + "loss": 0.9812, + "step": 4133 + }, + { + "epoch": 0.8, + "learning_rate": 2.1122233609910903e-06, + "loss": 0.9833, + "step": 4134 + }, + { + "epoch": 0.8, + "learning_rate": 2.108393405881638e-06, + "loss": 0.886, + "step": 4135 + }, + { + "epoch": 0.8, + "learning_rate": 2.104566516997647e-06, + "loss": 0.8719, + "step": 4136 + }, + { + "epoch": 0.8, + "learning_rate": 2.1007426958260245e-06, + "loss": 0.8419, + "step": 4137 + }, + { + "epoch": 0.8, + "learning_rate": 2.096921943852489e-06, + "loss": 0.9539, + "step": 4138 + }, + { + "epoch": 0.8, + "learning_rate": 2.093104262561569e-06, + "loss": 0.977, + "step": 4139 + }, + { + "epoch": 0.8, + "learning_rate": 2.08928965343659e-06, + "loss": 0.9084, + "step": 4140 + }, + { + "epoch": 0.8, + "learning_rate": 2.0854781179596937e-06, + "loss": 0.9086, + "step": 4141 + }, + { + "epoch": 0.8, + "learning_rate": 2.0816696576118223e-06, + "loss": 0.977, + "step": 4142 + }, + { + "epoch": 0.8, + "learning_rate": 2.077864273872727e-06, + "loss": 0.8488, + "step": 4143 + }, + { + "epoch": 0.8, + "learning_rate": 2.0740619682209607e-06, + "loss": 0.8784, + "step": 4144 + }, + { + "epoch": 0.8, + "learning_rate": 2.0702627421338817e-06, + "loss": 0.8599, + "step": 4145 + }, + { + "epoch": 0.8, + "learning_rate": 2.0664665970876496e-06, + "loss": 0.8875, + "step": 4146 + }, + { + "epoch": 0.8, + "learning_rate": 2.06267353455723e-06, + "loss": 0.9379, + "step": 4147 + }, + { + "epoch": 0.8, + "learning_rate": 2.05888355601639e-06, + "loss": 0.9326, + "step": 4148 + }, + { + "epoch": 0.8, + "learning_rate": 2.0550966629376955e-06, + "loss": 0.9308, + "step": 4149 + }, + { + "epoch": 0.8, + "learning_rate": 2.0513128567925177e-06, + "loss": 0.9111, + "step": 4150 + }, + { + "epoch": 0.8, + "learning_rate": 2.0475321390510262e-06, + "loss": 0.9473, + "step": 4151 + }, + { + "epoch": 0.8, + "learning_rate": 2.043754511182191e-06, + "loss": 0.9934, + "step": 4152 + }, + { + "epoch": 0.8, + "learning_rate": 2.0399799746537806e-06, + "loss": 0.8761, + "step": 4153 + }, + { + "epoch": 0.8, + "learning_rate": 2.036208530932363e-06, + "loss": 0.8918, + "step": 4154 + }, + { + "epoch": 0.8, + "learning_rate": 2.0324401814833074e-06, + "loss": 0.959, + "step": 4155 + }, + { + "epoch": 0.8, + "learning_rate": 2.0286749277707783e-06, + "loss": 0.9473, + "step": 4156 + }, + { + "epoch": 0.8, + "learning_rate": 2.024912771257732e-06, + "loss": 0.9041, + "step": 4157 + }, + { + "epoch": 0.8, + "learning_rate": 2.021153713405931e-06, + "loss": 0.9873, + "step": 4158 + }, + { + "epoch": 0.8, + "learning_rate": 2.0173977556759284e-06, + "loss": 0.9352, + "step": 4159 + }, + { + "epoch": 0.8, + "learning_rate": 2.013644899527074e-06, + "loss": 0.8288, + "step": 4160 + }, + { + "epoch": 0.8, + "learning_rate": 2.009895146417512e-06, + "loss": 0.9653, + "step": 4161 + }, + { + "epoch": 0.8, + "learning_rate": 2.0061484978041813e-06, + "loss": 0.9491, + "step": 4162 + }, + { + "epoch": 0.8, + "learning_rate": 2.002404955142815e-06, + "loss": 0.9603, + "step": 4163 + }, + { + "epoch": 0.8, + "learning_rate": 1.9986645198879385e-06, + "loss": 0.9326, + "step": 4164 + }, + { + "epoch": 0.8, + "learning_rate": 1.9949271934928703e-06, + "loss": 0.9366, + "step": 4165 + }, + { + "epoch": 0.8, + "learning_rate": 1.9911929774097216e-06, + "loss": 1.0009, + "step": 4166 + }, + { + "epoch": 0.8, + "learning_rate": 1.9874618730893947e-06, + "loss": 0.9062, + "step": 4167 + }, + { + "epoch": 0.8, + "learning_rate": 1.983733881981581e-06, + "loss": 0.9495, + "step": 4168 + }, + { + "epoch": 0.8, + "learning_rate": 1.9800090055347654e-06, + "loss": 0.9708, + "step": 4169 + }, + { + "epoch": 0.8, + "learning_rate": 1.9762872451962214e-06, + "loss": 0.9356, + "step": 4170 + }, + { + "epoch": 0.8, + "learning_rate": 1.9725686024120093e-06, + "loss": 1.0519, + "step": 4171 + }, + { + "epoch": 0.8, + "learning_rate": 1.9688530786269854e-06, + "loss": 0.9215, + "step": 4172 + }, + { + "epoch": 0.8, + "learning_rate": 1.965140675284779e-06, + "loss": 0.9119, + "step": 4173 + }, + { + "epoch": 0.8, + "learning_rate": 1.961431393827827e-06, + "loss": 1.0491, + "step": 4174 + }, + { + "epoch": 0.8, + "learning_rate": 1.95772523569734e-06, + "loss": 1.0202, + "step": 4175 + }, + { + "epoch": 0.8, + "learning_rate": 1.9540222023333165e-06, + "loss": 0.9179, + "step": 4176 + }, + { + "epoch": 0.8, + "learning_rate": 1.950322295174545e-06, + "loss": 0.9364, + "step": 4177 + }, + { + "epoch": 0.8, + "learning_rate": 1.9466255156585965e-06, + "loss": 0.9773, + "step": 4178 + }, + { + "epoch": 0.8, + "learning_rate": 1.9429318652218277e-06, + "loss": 0.9275, + "step": 4179 + }, + { + "epoch": 0.8, + "learning_rate": 1.9392413452993787e-06, + "loss": 0.9826, + "step": 4180 + }, + { + "epoch": 0.8, + "learning_rate": 1.9355539573251737e-06, + "loss": 0.955, + "step": 4181 + }, + { + "epoch": 0.8, + "learning_rate": 1.93186970273192e-06, + "loss": 0.9366, + "step": 4182 + }, + { + "epoch": 0.81, + "learning_rate": 1.928188582951108e-06, + "loss": 0.9403, + "step": 4183 + }, + { + "epoch": 0.81, + "learning_rate": 1.9245105994130086e-06, + "loss": 0.9551, + "step": 4184 + }, + { + "epoch": 0.81, + "learning_rate": 1.920835753546679e-06, + "loss": 0.9954, + "step": 4185 + }, + { + "epoch": 0.81, + "learning_rate": 1.9171640467799478e-06, + "loss": 1.0113, + "step": 4186 + }, + { + "epoch": 0.81, + "learning_rate": 1.913495480539432e-06, + "loss": 0.9113, + "step": 4187 + }, + { + "epoch": 0.81, + "learning_rate": 1.9098300562505266e-06, + "loss": 0.9378, + "step": 4188 + }, + { + "epoch": 0.81, + "learning_rate": 1.906167775337404e-06, + "loss": 0.8935, + "step": 4189 + }, + { + "epoch": 0.81, + "learning_rate": 1.9025086392230163e-06, + "loss": 0.9375, + "step": 4190 + }, + { + "epoch": 0.81, + "learning_rate": 1.8988526493290948e-06, + "loss": 0.9181, + "step": 4191 + }, + { + "epoch": 0.81, + "learning_rate": 1.895199807076148e-06, + "loss": 0.8775, + "step": 4192 + }, + { + "epoch": 0.81, + "learning_rate": 1.891550113883458e-06, + "loss": 0.8911, + "step": 4193 + }, + { + "epoch": 0.81, + "learning_rate": 1.8879035711690897e-06, + "loss": 0.887, + "step": 4194 + }, + { + "epoch": 0.81, + "learning_rate": 1.8842601803498772e-06, + "loss": 0.9071, + "step": 4195 + }, + { + "epoch": 0.81, + "learning_rate": 1.880619942841435e-06, + "loss": 0.9566, + "step": 4196 + }, + { + "epoch": 0.81, + "learning_rate": 1.8769828600581497e-06, + "loss": 0.9769, + "step": 4197 + }, + { + "epoch": 0.81, + "learning_rate": 1.8733489334131827e-06, + "loss": 0.8978, + "step": 4198 + }, + { + "epoch": 0.81, + "learning_rate": 1.8697181643184703e-06, + "loss": 0.9265, + "step": 4199 + }, + { + "epoch": 0.81, + "learning_rate": 1.8660905541847208e-06, + "loss": 0.8783, + "step": 4200 + }, + { + "epoch": 0.81, + "learning_rate": 1.8624661044214154e-06, + "loss": 0.997, + "step": 4201 + }, + { + "epoch": 0.81, + "learning_rate": 1.858844816436809e-06, + "loss": 0.9148, + "step": 4202 + }, + { + "epoch": 0.81, + "learning_rate": 1.8552266916379225e-06, + "loss": 0.9308, + "step": 4203 + }, + { + "epoch": 0.81, + "learning_rate": 1.8516117314305526e-06, + "loss": 0.9241, + "step": 4204 + }, + { + "epoch": 0.81, + "learning_rate": 1.847999937219266e-06, + "loss": 0.9441, + "step": 4205 + }, + { + "epoch": 0.81, + "learning_rate": 1.8443913104073984e-06, + "loss": 0.9437, + "step": 4206 + }, + { + "epoch": 0.81, + "learning_rate": 1.8407858523970568e-06, + "loss": 0.8902, + "step": 4207 + }, + { + "epoch": 0.81, + "learning_rate": 1.8371835645891134e-06, + "loss": 0.9764, + "step": 4208 + }, + { + "epoch": 0.81, + "learning_rate": 1.833584448383211e-06, + "loss": 0.9873, + "step": 4209 + }, + { + "epoch": 0.81, + "learning_rate": 1.82998850517776e-06, + "loss": 0.9195, + "step": 4210 + }, + { + "epoch": 0.81, + "learning_rate": 1.826395736369937e-06, + "loss": 0.8691, + "step": 4211 + }, + { + "epoch": 0.81, + "learning_rate": 1.8228061433556866e-06, + "loss": 0.9167, + "step": 4212 + }, + { + "epoch": 0.81, + "learning_rate": 1.8192197275297174e-06, + "loss": 0.9603, + "step": 4213 + }, + { + "epoch": 0.81, + "learning_rate": 1.815636490285506e-06, + "loss": 0.9583, + "step": 4214 + }, + { + "epoch": 0.81, + "learning_rate": 1.8120564330152924e-06, + "loss": 0.9462, + "step": 4215 + }, + { + "epoch": 0.81, + "learning_rate": 1.808479557110081e-06, + "loss": 0.9637, + "step": 4216 + }, + { + "epoch": 0.81, + "learning_rate": 1.8049058639596418e-06, + "loss": 0.8814, + "step": 4217 + }, + { + "epoch": 0.81, + "learning_rate": 1.801335354952507e-06, + "loss": 0.8323, + "step": 4218 + }, + { + "epoch": 0.81, + "learning_rate": 1.7977680314759693e-06, + "loss": 0.9328, + "step": 4219 + }, + { + "epoch": 0.81, + "learning_rate": 1.7942038949160857e-06, + "loss": 1.0032, + "step": 4220 + }, + { + "epoch": 0.81, + "learning_rate": 1.7906429466576768e-06, + "loss": 0.9264, + "step": 4221 + }, + { + "epoch": 0.81, + "learning_rate": 1.7870851880843233e-06, + "loss": 0.9134, + "step": 4222 + }, + { + "epoch": 0.81, + "learning_rate": 1.7835306205783643e-06, + "loss": 0.9791, + "step": 4223 + }, + { + "epoch": 0.81, + "learning_rate": 1.7799792455209019e-06, + "loss": 0.8662, + "step": 4224 + }, + { + "epoch": 0.81, + "learning_rate": 1.776431064291796e-06, + "loss": 0.8702, + "step": 4225 + }, + { + "epoch": 0.81, + "learning_rate": 1.7728860782696666e-06, + "loss": 1.0046, + "step": 4226 + }, + { + "epoch": 0.81, + "learning_rate": 1.7693442888318923e-06, + "loss": 0.9277, + "step": 4227 + }, + { + "epoch": 0.81, + "learning_rate": 1.765805697354608e-06, + "loss": 0.9399, + "step": 4228 + }, + { + "epoch": 0.81, + "learning_rate": 1.7622703052127078e-06, + "loss": 0.8907, + "step": 4229 + }, + { + "epoch": 0.81, + "learning_rate": 1.7587381137798432e-06, + "loss": 0.8691, + "step": 4230 + }, + { + "epoch": 0.81, + "learning_rate": 1.7552091244284197e-06, + "loss": 0.8946, + "step": 4231 + }, + { + "epoch": 0.81, + "learning_rate": 1.7516833385296016e-06, + "loss": 0.9147, + "step": 4232 + }, + { + "epoch": 0.81, + "learning_rate": 1.7481607574533044e-06, + "loss": 0.9408, + "step": 4233 + }, + { + "epoch": 0.81, + "learning_rate": 1.744641382568204e-06, + "loss": 0.9119, + "step": 4234 + }, + { + "epoch": 0.82, + "learning_rate": 1.741125215241728e-06, + "loss": 0.9188, + "step": 4235 + }, + { + "epoch": 0.82, + "learning_rate": 1.7376122568400533e-06, + "loss": 0.9142, + "step": 4236 + }, + { + "epoch": 0.82, + "learning_rate": 1.7341025087281149e-06, + "loss": 0.926, + "step": 4237 + }, + { + "epoch": 0.82, + "learning_rate": 1.730595972269602e-06, + "loss": 0.9576, + "step": 4238 + }, + { + "epoch": 0.82, + "learning_rate": 1.7270926488269502e-06, + "loss": 0.9728, + "step": 4239 + }, + { + "epoch": 0.82, + "learning_rate": 1.7235925397613529e-06, + "loss": 0.8986, + "step": 4240 + }, + { + "epoch": 0.82, + "learning_rate": 1.7200956464327512e-06, + "loss": 0.8845, + "step": 4241 + }, + { + "epoch": 0.82, + "learning_rate": 1.716601970199836e-06, + "loss": 0.8818, + "step": 4242 + }, + { + "epoch": 0.82, + "learning_rate": 1.7131115124200494e-06, + "loss": 0.9352, + "step": 4243 + }, + { + "epoch": 0.82, + "learning_rate": 1.709624274449584e-06, + "loss": 0.9331, + "step": 4244 + }, + { + "epoch": 0.82, + "learning_rate": 1.7061402576433794e-06, + "loss": 0.9855, + "step": 4245 + }, + { + "epoch": 0.82, + "learning_rate": 1.7026594633551252e-06, + "loss": 0.9598, + "step": 4246 + }, + { + "epoch": 0.82, + "learning_rate": 1.6991818929372584e-06, + "loss": 0.9149, + "step": 4247 + }, + { + "epoch": 0.82, + "learning_rate": 1.6957075477409623e-06, + "loss": 0.8791, + "step": 4248 + }, + { + "epoch": 0.82, + "learning_rate": 1.6922364291161697e-06, + "loss": 0.9781, + "step": 4249 + }, + { + "epoch": 0.82, + "learning_rate": 1.688768538411556e-06, + "loss": 0.932, + "step": 4250 + }, + { + "epoch": 0.82, + "learning_rate": 1.6853038769745466e-06, + "loss": 0.9246, + "step": 4251 + }, + { + "epoch": 0.82, + "learning_rate": 1.6818424461513129e-06, + "loss": 0.9238, + "step": 4252 + }, + { + "epoch": 0.82, + "learning_rate": 1.6783842472867607e-06, + "loss": 0.9401, + "step": 4253 + }, + { + "epoch": 0.82, + "learning_rate": 1.674929281724551e-06, + "loss": 0.899, + "step": 4254 + }, + { + "epoch": 0.82, + "learning_rate": 1.6714775508070868e-06, + "loss": 0.8486, + "step": 4255 + }, + { + "epoch": 0.82, + "learning_rate": 1.6680290558755119e-06, + "loss": 1.0441, + "step": 4256 + }, + { + "epoch": 0.82, + "learning_rate": 1.6645837982697122e-06, + "loss": 0.8487, + "step": 4257 + }, + { + "epoch": 0.82, + "learning_rate": 1.6611417793283192e-06, + "loss": 0.9744, + "step": 4258 + }, + { + "epoch": 0.82, + "learning_rate": 1.6577030003887018e-06, + "loss": 0.8959, + "step": 4259 + }, + { + "epoch": 0.82, + "learning_rate": 1.6542674627869738e-06, + "loss": 0.9156, + "step": 4260 + }, + { + "epoch": 0.82, + "learning_rate": 1.6508351678579882e-06, + "loss": 0.8993, + "step": 4261 + }, + { + "epoch": 0.82, + "learning_rate": 1.6474061169353362e-06, + "loss": 0.9597, + "step": 4262 + }, + { + "epoch": 0.82, + "learning_rate": 1.6439803113513509e-06, + "loss": 0.9812, + "step": 4263 + }, + { + "epoch": 0.82, + "learning_rate": 1.640557752437103e-06, + "loss": 0.9159, + "step": 4264 + }, + { + "epoch": 0.82, + "learning_rate": 1.6371384415224046e-06, + "loss": 0.8203, + "step": 4265 + }, + { + "epoch": 0.82, + "learning_rate": 1.6337223799358025e-06, + "loss": 0.9587, + "step": 4266 + }, + { + "epoch": 0.82, + "learning_rate": 1.6303095690045822e-06, + "loss": 0.9117, + "step": 4267 + }, + { + "epoch": 0.82, + "learning_rate": 1.6269000100547682e-06, + "loss": 0.9937, + "step": 4268 + }, + { + "epoch": 0.82, + "learning_rate": 1.6234937044111155e-06, + "loss": 0.9214, + "step": 4269 + }, + { + "epoch": 0.82, + "learning_rate": 1.6200906533971206e-06, + "loss": 1.0145, + "step": 4270 + }, + { + "epoch": 0.82, + "learning_rate": 1.6166908583350138e-06, + "loss": 0.9343, + "step": 4271 + }, + { + "epoch": 0.82, + "learning_rate": 1.6132943205457607e-06, + "loss": 0.8744, + "step": 4272 + }, + { + "epoch": 0.82, + "learning_rate": 1.6099010413490624e-06, + "loss": 0.8802, + "step": 4273 + }, + { + "epoch": 0.82, + "learning_rate": 1.6065110220633495e-06, + "loss": 1.0158, + "step": 4274 + }, + { + "epoch": 0.82, + "learning_rate": 1.6031242640057908e-06, + "loss": 0.9326, + "step": 4275 + }, + { + "epoch": 0.82, + "learning_rate": 1.599740768492286e-06, + "loss": 0.9547, + "step": 4276 + }, + { + "epoch": 0.82, + "learning_rate": 1.596360536837468e-06, + "loss": 0.9692, + "step": 4277 + }, + { + "epoch": 0.82, + "learning_rate": 1.5929835703546992e-06, + "loss": 0.9091, + "step": 4278 + }, + { + "epoch": 0.82, + "learning_rate": 1.589609870356076e-06, + "loss": 0.8857, + "step": 4279 + }, + { + "epoch": 0.82, + "learning_rate": 1.5862394381524239e-06, + "loss": 0.9101, + "step": 4280 + }, + { + "epoch": 0.82, + "learning_rate": 1.582872275053301e-06, + "loss": 0.8062, + "step": 4281 + }, + { + "epoch": 0.82, + "learning_rate": 1.579508382366992e-06, + "loss": 0.9344, + "step": 4282 + }, + { + "epoch": 0.82, + "learning_rate": 1.5761477614005127e-06, + "loss": 0.9844, + "step": 4283 + }, + { + "epoch": 0.82, + "learning_rate": 1.5727904134596084e-06, + "loss": 0.9137, + "step": 4284 + }, + { + "epoch": 0.82, + "learning_rate": 1.5694363398487545e-06, + "loss": 0.9522, + "step": 4285 + }, + { + "epoch": 0.82, + "learning_rate": 1.566085541871145e-06, + "loss": 0.9396, + "step": 4286 + }, + { + "epoch": 0.83, + "learning_rate": 1.5627380208287114e-06, + "loss": 0.8648, + "step": 4287 + }, + { + "epoch": 0.83, + "learning_rate": 1.5593937780221092e-06, + "loss": 0.8881, + "step": 4288 + }, + { + "epoch": 0.83, + "learning_rate": 1.556052814750717e-06, + "loss": 0.9182, + "step": 4289 + }, + { + "epoch": 0.83, + "learning_rate": 1.5527151323126422e-06, + "loss": 0.921, + "step": 4290 + }, + { + "epoch": 0.83, + "learning_rate": 1.5493807320047183e-06, + "loss": 0.8897, + "step": 4291 + }, + { + "epoch": 0.83, + "learning_rate": 1.5460496151225002e-06, + "loss": 0.9774, + "step": 4292 + }, + { + "epoch": 0.83, + "learning_rate": 1.542721782960268e-06, + "loss": 0.9524, + "step": 4293 + }, + { + "epoch": 0.83, + "learning_rate": 1.5393972368110287e-06, + "loss": 0.881, + "step": 4294 + }, + { + "epoch": 0.83, + "learning_rate": 1.536075977966509e-06, + "loss": 0.8941, + "step": 4295 + }, + { + "epoch": 0.83, + "learning_rate": 1.5327580077171589e-06, + "loss": 0.974, + "step": 4296 + }, + { + "epoch": 0.83, + "learning_rate": 1.5294433273521525e-06, + "loss": 0.9332, + "step": 4297 + }, + { + "epoch": 0.83, + "learning_rate": 1.5261319381593831e-06, + "loss": 0.9893, + "step": 4298 + }, + { + "epoch": 0.83, + "learning_rate": 1.522823841425467e-06, + "loss": 0.9155, + "step": 4299 + }, + { + "epoch": 0.83, + "learning_rate": 1.5195190384357405e-06, + "loss": 0.9872, + "step": 4300 + }, + { + "epoch": 0.83, + "learning_rate": 1.5162175304742633e-06, + "loss": 0.9284, + "step": 4301 + }, + { + "epoch": 0.83, + "learning_rate": 1.5129193188238068e-06, + "loss": 1.0029, + "step": 4302 + }, + { + "epoch": 0.83, + "learning_rate": 1.5096244047658704e-06, + "loss": 0.9204, + "step": 4303 + }, + { + "epoch": 0.83, + "learning_rate": 1.5063327895806668e-06, + "loss": 0.8618, + "step": 4304 + }, + { + "epoch": 0.83, + "learning_rate": 1.5030444745471295e-06, + "loss": 0.8357, + "step": 4305 + }, + { + "epoch": 0.83, + "learning_rate": 1.499759460942909e-06, + "loss": 0.9413, + "step": 4306 + }, + { + "epoch": 0.83, + "learning_rate": 1.4964777500443728e-06, + "loss": 0.9046, + "step": 4307 + }, + { + "epoch": 0.83, + "learning_rate": 1.4931993431266056e-06, + "loss": 0.9855, + "step": 4308 + }, + { + "epoch": 0.83, + "learning_rate": 1.4899242414634097e-06, + "loss": 0.9062, + "step": 4309 + }, + { + "epoch": 0.83, + "learning_rate": 1.486652446327299e-06, + "loss": 0.956, + "step": 4310 + }, + { + "epoch": 0.83, + "learning_rate": 1.4833839589895072e-06, + "loss": 0.8934, + "step": 4311 + }, + { + "epoch": 0.83, + "learning_rate": 1.48011878071998e-06, + "loss": 0.9758, + "step": 4312 + }, + { + "epoch": 0.83, + "learning_rate": 1.476856912787379e-06, + "loss": 0.8947, + "step": 4313 + }, + { + "epoch": 0.83, + "learning_rate": 1.4735983564590784e-06, + "loss": 0.947, + "step": 4314 + }, + { + "epoch": 0.83, + "learning_rate": 1.470343113001167e-06, + "loss": 0.9238, + "step": 4315 + }, + { + "epoch": 0.83, + "learning_rate": 1.467091183678444e-06, + "loss": 0.8481, + "step": 4316 + }, + { + "epoch": 0.83, + "learning_rate": 1.4638425697544235e-06, + "loss": 0.8711, + "step": 4317 + }, + { + "epoch": 0.83, + "learning_rate": 1.460597272491333e-06, + "loss": 0.9055, + "step": 4318 + }, + { + "epoch": 0.83, + "learning_rate": 1.4573552931501046e-06, + "loss": 0.9991, + "step": 4319 + }, + { + "epoch": 0.83, + "learning_rate": 1.4541166329903856e-06, + "loss": 0.9949, + "step": 4320 + }, + { + "epoch": 0.83, + "learning_rate": 1.4508812932705364e-06, + "loss": 0.9898, + "step": 4321 + }, + { + "epoch": 0.83, + "learning_rate": 1.4476492752476223e-06, + "loss": 0.9597, + "step": 4322 + }, + { + "epoch": 0.83, + "learning_rate": 1.4444205801774204e-06, + "loss": 0.987, + "step": 4323 + }, + { + "epoch": 0.83, + "learning_rate": 1.4411952093144167e-06, + "loss": 0.9409, + "step": 4324 + }, + { + "epoch": 0.83, + "learning_rate": 1.4379731639118045e-06, + "loss": 0.9504, + "step": 4325 + }, + { + "epoch": 0.83, + "learning_rate": 1.4347544452214869e-06, + "loss": 0.9067, + "step": 4326 + }, + { + "epoch": 0.83, + "learning_rate": 1.4315390544940732e-06, + "loss": 0.9584, + "step": 4327 + }, + { + "epoch": 0.83, + "learning_rate": 1.4283269929788779e-06, + "loss": 0.9471, + "step": 4328 + }, + { + "epoch": 0.83, + "learning_rate": 1.4251182619239257e-06, + "loss": 0.8857, + "step": 4329 + }, + { + "epoch": 0.83, + "learning_rate": 1.4219128625759426e-06, + "loss": 0.9251, + "step": 4330 + }, + { + "epoch": 0.83, + "learning_rate": 1.4187107961803704e-06, + "loss": 0.9389, + "step": 4331 + }, + { + "epoch": 0.83, + "learning_rate": 1.4155120639813392e-06, + "loss": 0.8563, + "step": 4332 + }, + { + "epoch": 0.83, + "learning_rate": 1.4123166672216971e-06, + "loss": 0.9503, + "step": 4333 + }, + { + "epoch": 0.83, + "learning_rate": 1.409124607142992e-06, + "loss": 0.8979, + "step": 4334 + }, + { + "epoch": 0.83, + "learning_rate": 1.4059358849854732e-06, + "loss": 0.9052, + "step": 4335 + }, + { + "epoch": 0.83, + "learning_rate": 1.4027505019880972e-06, + "loss": 0.9467, + "step": 4336 + }, + { + "epoch": 0.83, + "learning_rate": 1.3995684593885206e-06, + "loss": 0.9803, + "step": 4337 + }, + { + "epoch": 0.83, + "learning_rate": 1.3963897584231023e-06, + "loss": 0.9306, + "step": 4338 + }, + { + "epoch": 0.84, + "learning_rate": 1.3932144003269033e-06, + "loss": 0.972, + "step": 4339 + }, + { + "epoch": 0.84, + "learning_rate": 1.3900423863336842e-06, + "loss": 0.8719, + "step": 4340 + }, + { + "epoch": 0.84, + "learning_rate": 1.3868737176759105e-06, + "loss": 0.924, + "step": 4341 + }, + { + "epoch": 0.84, + "learning_rate": 1.3837083955847418e-06, + "loss": 1.0055, + "step": 4342 + }, + { + "epoch": 0.84, + "learning_rate": 1.3805464212900432e-06, + "loss": 0.8847, + "step": 4343 + }, + { + "epoch": 0.84, + "learning_rate": 1.377387796020374e-06, + "loss": 0.889, + "step": 4344 + }, + { + "epoch": 0.84, + "learning_rate": 1.3742325210029973e-06, + "loss": 0.9553, + "step": 4345 + }, + { + "epoch": 0.84, + "learning_rate": 1.3710805974638697e-06, + "loss": 0.926, + "step": 4346 + }, + { + "epoch": 0.84, + "learning_rate": 1.3679320266276518e-06, + "loss": 0.8962, + "step": 4347 + }, + { + "epoch": 0.84, + "learning_rate": 1.364786809717692e-06, + "loss": 0.9253, + "step": 4348 + }, + { + "epoch": 0.84, + "learning_rate": 1.3616449479560434e-06, + "loss": 0.9108, + "step": 4349 + }, + { + "epoch": 0.84, + "learning_rate": 1.3585064425634542e-06, + "loss": 0.9702, + "step": 4350 + }, + { + "epoch": 0.84, + "learning_rate": 1.3553712947593655e-06, + "loss": 0.9026, + "step": 4351 + }, + { + "epoch": 0.84, + "learning_rate": 1.3522395057619186e-06, + "loss": 0.9323, + "step": 4352 + }, + { + "epoch": 0.84, + "learning_rate": 1.3491110767879444e-06, + "loss": 0.9371, + "step": 4353 + }, + { + "epoch": 0.84, + "learning_rate": 1.345986009052972e-06, + "loss": 1.0247, + "step": 4354 + }, + { + "epoch": 0.84, + "learning_rate": 1.342864303771223e-06, + "loss": 0.875, + "step": 4355 + }, + { + "epoch": 0.84, + "learning_rate": 1.339745962155613e-06, + "loss": 0.9072, + "step": 4356 + }, + { + "epoch": 0.84, + "learning_rate": 1.3366309854177517e-06, + "loss": 0.8985, + "step": 4357 + }, + { + "epoch": 0.84, + "learning_rate": 1.3335193747679387e-06, + "loss": 0.9344, + "step": 4358 + }, + { + "epoch": 0.84, + "learning_rate": 1.330411131415169e-06, + "loss": 0.9666, + "step": 4359 + }, + { + "epoch": 0.84, + "learning_rate": 1.3273062565671258e-06, + "loss": 0.8647, + "step": 4360 + }, + { + "epoch": 0.84, + "learning_rate": 1.324204751430186e-06, + "loss": 0.9615, + "step": 4361 + }, + { + "epoch": 0.84, + "learning_rate": 1.3211066172094178e-06, + "loss": 0.9912, + "step": 4362 + }, + { + "epoch": 0.84, + "learning_rate": 1.3180118551085763e-06, + "loss": 0.9528, + "step": 4363 + }, + { + "epoch": 0.84, + "learning_rate": 1.3149204663301118e-06, + "loss": 1.0064, + "step": 4364 + }, + { + "epoch": 0.84, + "learning_rate": 1.3118324520751558e-06, + "loss": 0.9427, + "step": 4365 + }, + { + "epoch": 0.84, + "learning_rate": 1.3087478135435361e-06, + "loss": 0.9517, + "step": 4366 + }, + { + "epoch": 0.84, + "learning_rate": 1.3056665519337663e-06, + "loss": 0.9663, + "step": 4367 + }, + { + "epoch": 0.84, + "learning_rate": 1.3025886684430467e-06, + "loss": 0.9929, + "step": 4368 + }, + { + "epoch": 0.84, + "learning_rate": 1.299514164267267e-06, + "loss": 0.9014, + "step": 4369 + }, + { + "epoch": 0.84, + "learning_rate": 1.2964430406010032e-06, + "loss": 0.9349, + "step": 4370 + }, + { + "epoch": 0.84, + "learning_rate": 1.293375298637518e-06, + "loss": 0.9341, + "step": 4371 + }, + { + "epoch": 0.84, + "learning_rate": 1.2903109395687597e-06, + "loss": 0.9753, + "step": 4372 + }, + { + "epoch": 0.84, + "learning_rate": 1.2872499645853609e-06, + "loss": 0.8938, + "step": 4373 + }, + { + "epoch": 0.84, + "learning_rate": 1.2841923748766427e-06, + "loss": 0.9915, + "step": 4374 + }, + { + "epoch": 0.84, + "learning_rate": 1.2811381716306092e-06, + "loss": 0.9284, + "step": 4375 + }, + { + "epoch": 0.84, + "learning_rate": 1.278087356033947e-06, + "loss": 0.904, + "step": 4376 + }, + { + "epoch": 0.84, + "learning_rate": 1.2750399292720284e-06, + "loss": 0.9011, + "step": 4377 + }, + { + "epoch": 0.84, + "learning_rate": 1.271995892528909e-06, + "loss": 0.934, + "step": 4378 + }, + { + "epoch": 0.84, + "learning_rate": 1.2689552469873267e-06, + "loss": 0.8984, + "step": 4379 + }, + { + "epoch": 0.84, + "learning_rate": 1.2659179938287035e-06, + "loss": 0.9473, + "step": 4380 + }, + { + "epoch": 0.84, + "learning_rate": 1.2628841342331389e-06, + "loss": 0.8356, + "step": 4381 + }, + { + "epoch": 0.84, + "learning_rate": 1.2598536693794171e-06, + "loss": 0.8872, + "step": 4382 + }, + { + "epoch": 0.84, + "learning_rate": 1.2568266004450037e-06, + "loss": 0.8769, + "step": 4383 + }, + { + "epoch": 0.84, + "learning_rate": 1.2538029286060428e-06, + "loss": 0.944, + "step": 4384 + }, + { + "epoch": 0.84, + "learning_rate": 1.2507826550373614e-06, + "loss": 0.9833, + "step": 4385 + }, + { + "epoch": 0.84, + "learning_rate": 1.2477657809124632e-06, + "loss": 0.9807, + "step": 4386 + }, + { + "epoch": 0.84, + "learning_rate": 1.244752307403534e-06, + "loss": 0.9471, + "step": 4387 + }, + { + "epoch": 0.84, + "learning_rate": 1.2417422356814345e-06, + "loss": 0.937, + "step": 4388 + }, + { + "epoch": 0.84, + "learning_rate": 1.2387355669157076e-06, + "loss": 1.009, + "step": 4389 + }, + { + "epoch": 0.84, + "learning_rate": 1.2357323022745716e-06, + "loss": 1.0261, + "step": 4390 + }, + { + "epoch": 0.85, + "learning_rate": 1.2327324429249232e-06, + "loss": 0.99, + "step": 4391 + }, + { + "epoch": 0.85, + "learning_rate": 1.2297359900323346e-06, + "loss": 0.9158, + "step": 4392 + }, + { + "epoch": 0.85, + "learning_rate": 1.2267429447610557e-06, + "loss": 0.8556, + "step": 4393 + }, + { + "epoch": 0.85, + "learning_rate": 1.2237533082740127e-06, + "loss": 0.9408, + "step": 4394 + }, + { + "epoch": 0.85, + "learning_rate": 1.2207670817328065e-06, + "loss": 0.9372, + "step": 4395 + }, + { + "epoch": 0.85, + "learning_rate": 1.2177842662977136e-06, + "loss": 0.9168, + "step": 4396 + }, + { + "epoch": 0.85, + "learning_rate": 1.2148048631276876e-06, + "loss": 0.9125, + "step": 4397 + }, + { + "epoch": 0.85, + "learning_rate": 1.2118288733803474e-06, + "loss": 0.958, + "step": 4398 + }, + { + "epoch": 0.85, + "learning_rate": 1.2088562982119957e-06, + "loss": 0.9038, + "step": 4399 + }, + { + "epoch": 0.85, + "learning_rate": 1.2058871387776039e-06, + "loss": 0.9366, + "step": 4400 + }, + { + "epoch": 0.85, + "learning_rate": 1.2029213962308172e-06, + "loss": 0.8857, + "step": 4401 + }, + { + "epoch": 0.85, + "learning_rate": 1.199959071723953e-06, + "loss": 0.841, + "step": 4402 + }, + { + "epoch": 0.85, + "learning_rate": 1.197000166408001e-06, + "loss": 0.9551, + "step": 4403 + }, + { + "epoch": 0.85, + "learning_rate": 1.19404468143262e-06, + "loss": 0.8436, + "step": 4404 + }, + { + "epoch": 0.85, + "learning_rate": 1.1910926179461446e-06, + "loss": 0.9506, + "step": 4405 + }, + { + "epoch": 0.85, + "learning_rate": 1.188143977095576e-06, + "loss": 0.9412, + "step": 4406 + }, + { + "epoch": 0.85, + "learning_rate": 1.185198760026587e-06, + "loss": 0.8661, + "step": 4407 + }, + { + "epoch": 0.85, + "learning_rate": 1.1822569678835195e-06, + "loss": 0.9412, + "step": 4408 + }, + { + "epoch": 0.85, + "learning_rate": 1.179318601809386e-06, + "loss": 0.9049, + "step": 4409 + }, + { + "epoch": 0.85, + "learning_rate": 1.176383662945866e-06, + "loss": 0.9587, + "step": 4410 + }, + { + "epoch": 0.85, + "learning_rate": 1.1734521524333087e-06, + "loss": 0.8659, + "step": 4411 + }, + { + "epoch": 0.85, + "learning_rate": 1.1705240714107301e-06, + "loss": 0.9841, + "step": 4412 + }, + { + "epoch": 0.85, + "learning_rate": 1.167599421015818e-06, + "loss": 0.9924, + "step": 4413 + }, + { + "epoch": 0.85, + "learning_rate": 1.164678202384919e-06, + "loss": 0.8853, + "step": 4414 + }, + { + "epoch": 0.85, + "learning_rate": 1.1617604166530527e-06, + "loss": 0.9156, + "step": 4415 + }, + { + "epoch": 0.85, + "learning_rate": 1.1588460649539036e-06, + "loss": 0.9651, + "step": 4416 + }, + { + "epoch": 0.85, + "learning_rate": 1.1559351484198211e-06, + "loss": 0.9517, + "step": 4417 + }, + { + "epoch": 0.85, + "learning_rate": 1.153027668181821e-06, + "loss": 0.8825, + "step": 4418 + }, + { + "epoch": 0.85, + "learning_rate": 1.1501236253695823e-06, + "loss": 0.9256, + "step": 4419 + }, + { + "epoch": 0.85, + "learning_rate": 1.1472230211114498e-06, + "loss": 1.0209, + "step": 4420 + }, + { + "epoch": 0.85, + "learning_rate": 1.1443258565344329e-06, + "loss": 0.8842, + "step": 4421 + }, + { + "epoch": 0.85, + "learning_rate": 1.1414321327642019e-06, + "loss": 0.9327, + "step": 4422 + }, + { + "epoch": 0.85, + "learning_rate": 1.1385418509250933e-06, + "loss": 0.9551, + "step": 4423 + }, + { + "epoch": 0.85, + "learning_rate": 1.1356550121401033e-06, + "loss": 0.9598, + "step": 4424 + }, + { + "epoch": 0.85, + "learning_rate": 1.1327716175308934e-06, + "loss": 0.9441, + "step": 4425 + }, + { + "epoch": 0.85, + "learning_rate": 1.129891668217783e-06, + "loss": 0.9348, + "step": 4426 + }, + { + "epoch": 0.85, + "learning_rate": 1.1270151653197569e-06, + "loss": 0.8573, + "step": 4427 + }, + { + "epoch": 0.85, + "learning_rate": 1.124142109954459e-06, + "loss": 0.9776, + "step": 4428 + }, + { + "epoch": 0.85, + "learning_rate": 1.1212725032381933e-06, + "loss": 0.9493, + "step": 4429 + }, + { + "epoch": 0.85, + "learning_rate": 1.1184063462859262e-06, + "loss": 0.9644, + "step": 4430 + }, + { + "epoch": 0.85, + "learning_rate": 1.1155436402112785e-06, + "loss": 0.9604, + "step": 4431 + }, + { + "epoch": 0.85, + "learning_rate": 1.1126843861265347e-06, + "loss": 0.9679, + "step": 4432 + }, + { + "epoch": 0.85, + "learning_rate": 1.1098285851426372e-06, + "loss": 0.992, + "step": 4433 + }, + { + "epoch": 0.85, + "learning_rate": 1.1069762383691862e-06, + "loss": 0.9284, + "step": 4434 + }, + { + "epoch": 0.85, + "learning_rate": 1.1041273469144399e-06, + "loss": 1.0144, + "step": 4435 + }, + { + "epoch": 0.85, + "learning_rate": 1.1012819118853147e-06, + "loss": 0.8962, + "step": 4436 + }, + { + "epoch": 0.85, + "learning_rate": 1.098439934387383e-06, + "loss": 0.9544, + "step": 4437 + }, + { + "epoch": 0.85, + "learning_rate": 1.095601415524874e-06, + "loss": 0.8783, + "step": 4438 + }, + { + "epoch": 0.85, + "learning_rate": 1.092766356400673e-06, + "loss": 0.8881, + "step": 4439 + }, + { + "epoch": 0.85, + "learning_rate": 1.0899347581163222e-06, + "loss": 0.97, + "step": 4440 + }, + { + "epoch": 0.85, + "learning_rate": 1.0871066217720173e-06, + "loss": 0.9355, + "step": 4441 + }, + { + "epoch": 0.85, + "learning_rate": 1.08428194846661e-06, + "loss": 0.8936, + "step": 4442 + }, + { + "epoch": 0.86, + "learning_rate": 1.0814607392976062e-06, + "loss": 0.8808, + "step": 4443 + }, + { + "epoch": 0.86, + "learning_rate": 1.0786429953611665e-06, + "loss": 0.9925, + "step": 4444 + }, + { + "epoch": 0.86, + "learning_rate": 1.0758287177521032e-06, + "loss": 0.9278, + "step": 4445 + }, + { + "epoch": 0.86, + "learning_rate": 1.073017907563887e-06, + "loss": 0.9571, + "step": 4446 + }, + { + "epoch": 0.86, + "learning_rate": 1.0702105658886318e-06, + "loss": 0.9208, + "step": 4447 + }, + { + "epoch": 0.86, + "learning_rate": 1.0674066938171123e-06, + "loss": 0.9786, + "step": 4448 + }, + { + "epoch": 0.86, + "learning_rate": 1.0646062924387513e-06, + "loss": 0.9326, + "step": 4449 + }, + { + "epoch": 0.86, + "learning_rate": 1.061809362841626e-06, + "loss": 0.9373, + "step": 4450 + }, + { + "epoch": 0.86, + "learning_rate": 1.0590159061124606e-06, + "loss": 0.9632, + "step": 4451 + }, + { + "epoch": 0.86, + "learning_rate": 1.0562259233366334e-06, + "loss": 0.8979, + "step": 4452 + }, + { + "epoch": 0.86, + "learning_rate": 1.053439415598171e-06, + "loss": 0.998, + "step": 4453 + }, + { + "epoch": 0.86, + "learning_rate": 1.0506563839797501e-06, + "loss": 0.945, + "step": 4454 + }, + { + "epoch": 0.86, + "learning_rate": 1.0478768295626985e-06, + "loss": 0.9044, + "step": 4455 + }, + { + "epoch": 0.86, + "learning_rate": 1.0451007534269908e-06, + "loss": 0.9491, + "step": 4456 + }, + { + "epoch": 0.86, + "learning_rate": 1.04232815665125e-06, + "loss": 0.9454, + "step": 4457 + }, + { + "epoch": 0.86, + "learning_rate": 1.0395590403127487e-06, + "loss": 0.8528, + "step": 4458 + }, + { + "epoch": 0.86, + "learning_rate": 1.0367934054874074e-06, + "loss": 0.9038, + "step": 4459 + }, + { + "epoch": 0.86, + "learning_rate": 1.034031253249792e-06, + "loss": 0.8544, + "step": 4460 + }, + { + "epoch": 0.86, + "learning_rate": 1.0312725846731174e-06, + "loss": 0.871, + "step": 4461 + }, + { + "epoch": 0.86, + "learning_rate": 1.0285174008292431e-06, + "loss": 0.8888, + "step": 4462 + }, + { + "epoch": 0.86, + "learning_rate": 1.025765702788677e-06, + "loss": 0.8859, + "step": 4463 + }, + { + "epoch": 0.86, + "learning_rate": 1.0230174916205681e-06, + "loss": 0.9791, + "step": 4464 + }, + { + "epoch": 0.86, + "learning_rate": 1.0202727683927149e-06, + "loss": 0.9015, + "step": 4465 + }, + { + "epoch": 0.86, + "learning_rate": 1.0175315341715598e-06, + "loss": 0.8941, + "step": 4466 + }, + { + "epoch": 0.86, + "learning_rate": 1.0147937900221882e-06, + "loss": 0.9705, + "step": 4467 + }, + { + "epoch": 0.86, + "learning_rate": 1.012059537008332e-06, + "loss": 0.8532, + "step": 4468 + }, + { + "epoch": 0.86, + "learning_rate": 1.009328776192363e-06, + "loss": 0.9608, + "step": 4469 + }, + { + "epoch": 0.86, + "learning_rate": 1.0066015086353e-06, + "loss": 0.9365, + "step": 4470 + }, + { + "epoch": 0.86, + "learning_rate": 1.003877735396801e-06, + "loss": 0.9592, + "step": 4471 + }, + { + "epoch": 0.86, + "learning_rate": 1.0011574575351702e-06, + "loss": 0.8332, + "step": 4472 + }, + { + "epoch": 0.86, + "learning_rate": 9.984406761073496e-07, + "loss": 0.9032, + "step": 4473 + }, + { + "epoch": 0.86, + "learning_rate": 9.957273921689237e-07, + "loss": 0.9505, + "step": 4474 + }, + { + "epoch": 0.86, + "learning_rate": 9.930176067741216e-07, + "loss": 0.7795, + "step": 4475 + }, + { + "epoch": 0.86, + "learning_rate": 9.903113209758098e-07, + "loss": 0.9255, + "step": 4476 + }, + { + "epoch": 0.86, + "learning_rate": 9.87608535825494e-07, + "loss": 0.8236, + "step": 4477 + }, + { + "epoch": 0.86, + "learning_rate": 9.849092523733217e-07, + "loss": 0.9485, + "step": 4478 + }, + { + "epoch": 0.86, + "learning_rate": 9.822134716680832e-07, + "loss": 0.9273, + "step": 4479 + }, + { + "epoch": 0.86, + "learning_rate": 9.795211947571993e-07, + "loss": 0.8751, + "step": 4480 + }, + { + "epoch": 0.86, + "learning_rate": 9.768324226867353e-07, + "loss": 0.9447, + "step": 4481 + }, + { + "epoch": 0.86, + "learning_rate": 9.74147156501396e-07, + "loss": 1.0073, + "step": 4482 + }, + { + "epoch": 0.86, + "learning_rate": 9.714653972445199e-07, + "loss": 0.8759, + "step": 4483 + }, + { + "epoch": 0.86, + "learning_rate": 9.687871459580845e-07, + "loss": 0.8634, + "step": 4484 + }, + { + "epoch": 0.86, + "learning_rate": 9.661124036827064e-07, + "loss": 0.9191, + "step": 4485 + }, + { + "epoch": 0.86, + "learning_rate": 9.634411714576353e-07, + "loss": 0.9596, + "step": 4486 + }, + { + "epoch": 0.86, + "learning_rate": 9.60773450320759e-07, + "loss": 0.9566, + "step": 4487 + }, + { + "epoch": 0.86, + "learning_rate": 9.58109241308599e-07, + "loss": 0.932, + "step": 4488 + }, + { + "epoch": 0.86, + "learning_rate": 9.55448545456319e-07, + "loss": 0.9793, + "step": 4489 + }, + { + "epoch": 0.86, + "learning_rate": 9.527913637977093e-07, + "loss": 0.9628, + "step": 4490 + }, + { + "epoch": 0.86, + "learning_rate": 9.501376973651999e-07, + "loss": 0.915, + "step": 4491 + }, + { + "epoch": 0.86, + "learning_rate": 9.474875471898526e-07, + "loss": 1.0029, + "step": 4492 + }, + { + "epoch": 0.86, + "learning_rate": 9.448409143013626e-07, + "loss": 0.9141, + "step": 4493 + }, + { + "epoch": 0.86, + "learning_rate": 9.421977997280596e-07, + "loss": 0.8915, + "step": 4494 + }, + { + "epoch": 0.87, + "learning_rate": 9.395582044969076e-07, + "loss": 0.9182, + "step": 4495 + }, + { + "epoch": 0.87, + "learning_rate": 9.369221296335007e-07, + "loss": 0.8981, + "step": 4496 + }, + { + "epoch": 0.87, + "learning_rate": 9.342895761620663e-07, + "loss": 1.0145, + "step": 4497 + }, + { + "epoch": 0.87, + "learning_rate": 9.31660545105465e-07, + "loss": 0.95, + "step": 4498 + }, + { + "epoch": 0.87, + "learning_rate": 9.290350374851865e-07, + "loss": 0.9559, + "step": 4499 + }, + { + "epoch": 0.87, + "learning_rate": 9.264130543213512e-07, + "loss": 0.9362, + "step": 4500 + }, + { + "epoch": 0.87, + "learning_rate": 9.237945966327133e-07, + "loss": 0.9453, + "step": 4501 + }, + { + "epoch": 0.87, + "learning_rate": 9.211796654366545e-07, + "loss": 0.8752, + "step": 4502 + }, + { + "epoch": 0.87, + "learning_rate": 9.185682617491865e-07, + "loss": 0.8887, + "step": 4503 + }, + { + "epoch": 0.87, + "learning_rate": 9.15960386584952e-07, + "loss": 0.9556, + "step": 4504 + }, + { + "epoch": 0.87, + "learning_rate": 9.133560409572195e-07, + "loss": 0.8518, + "step": 4505 + }, + { + "epoch": 0.87, + "learning_rate": 9.107552258778907e-07, + "loss": 0.9104, + "step": 4506 + }, + { + "epoch": 0.87, + "learning_rate": 9.081579423574916e-07, + "loss": 0.9477, + "step": 4507 + }, + { + "epoch": 0.87, + "learning_rate": 9.055641914051783e-07, + "loss": 0.8798, + "step": 4508 + }, + { + "epoch": 0.87, + "learning_rate": 9.029739740287358e-07, + "loss": 0.939, + "step": 4509 + }, + { + "epoch": 0.87, + "learning_rate": 9.00387291234569e-07, + "loss": 0.9987, + "step": 4510 + }, + { + "epoch": 0.87, + "learning_rate": 8.978041440277163e-07, + "loss": 0.8881, + "step": 4511 + }, + { + "epoch": 0.87, + "learning_rate": 8.952245334118415e-07, + "loss": 0.8975, + "step": 4512 + }, + { + "epoch": 0.87, + "learning_rate": 8.926484603892327e-07, + "loss": 0.9224, + "step": 4513 + }, + { + "epoch": 0.87, + "learning_rate": 8.900759259608038e-07, + "loss": 0.9698, + "step": 4514 + }, + { + "epoch": 0.87, + "learning_rate": 8.875069311260942e-07, + "loss": 0.99, + "step": 4515 + }, + { + "epoch": 0.87, + "learning_rate": 8.849414768832687e-07, + "loss": 0.9357, + "step": 4516 + }, + { + "epoch": 0.87, + "learning_rate": 8.823795642291145e-07, + "loss": 0.7805, + "step": 4517 + }, + { + "epoch": 0.87, + "learning_rate": 8.79821194159044e-07, + "loss": 0.9802, + "step": 4518 + }, + { + "epoch": 0.87, + "learning_rate": 8.772663676670934e-07, + "loss": 0.9481, + "step": 4519 + }, + { + "epoch": 0.87, + "learning_rate": 8.747150857459219e-07, + "loss": 0.8994, + "step": 4520 + }, + { + "epoch": 0.87, + "learning_rate": 8.721673493868111e-07, + "loss": 0.9881, + "step": 4521 + }, + { + "epoch": 0.87, + "learning_rate": 8.696231595796633e-07, + "loss": 0.9602, + "step": 4522 + }, + { + "epoch": 0.87, + "learning_rate": 8.670825173130081e-07, + "loss": 0.998, + "step": 4523 + }, + { + "epoch": 0.87, + "learning_rate": 8.645454235739903e-07, + "loss": 0.9189, + "step": 4524 + }, + { + "epoch": 0.87, + "learning_rate": 8.620118793483823e-07, + "loss": 0.995, + "step": 4525 + }, + { + "epoch": 0.87, + "learning_rate": 8.5948188562057e-07, + "loss": 0.9092, + "step": 4526 + }, + { + "epoch": 0.87, + "learning_rate": 8.56955443373565e-07, + "loss": 0.8943, + "step": 4527 + }, + { + "epoch": 0.87, + "learning_rate": 8.544325535889997e-07, + "loss": 0.903, + "step": 4528 + }, + { + "epoch": 0.87, + "learning_rate": 8.519132172471212e-07, + "loss": 0.9907, + "step": 4529 + }, + { + "epoch": 0.87, + "learning_rate": 8.493974353268019e-07, + "loss": 0.9368, + "step": 4530 + }, + { + "epoch": 0.87, + "learning_rate": 8.468852088055291e-07, + "loss": 0.9762, + "step": 4531 + }, + { + "epoch": 0.87, + "learning_rate": 8.443765386594094e-07, + "loss": 0.9471, + "step": 4532 + }, + { + "epoch": 0.87, + "learning_rate": 8.418714258631689e-07, + "loss": 0.8932, + "step": 4533 + }, + { + "epoch": 0.87, + "learning_rate": 8.393698713901499e-07, + "loss": 0.9842, + "step": 4534 + }, + { + "epoch": 0.87, + "learning_rate": 8.36871876212314e-07, + "loss": 0.9534, + "step": 4535 + }, + { + "epoch": 0.87, + "learning_rate": 8.343774413002382e-07, + "loss": 0.9337, + "step": 4536 + }, + { + "epoch": 0.87, + "learning_rate": 8.318865676231158e-07, + "loss": 0.959, + "step": 4537 + }, + { + "epoch": 0.87, + "learning_rate": 8.293992561487596e-07, + "loss": 0.8741, + "step": 4538 + }, + { + "epoch": 0.87, + "learning_rate": 8.26915507843593e-07, + "loss": 0.8898, + "step": 4539 + }, + { + "epoch": 0.87, + "learning_rate": 8.24435323672661e-07, + "loss": 0.9108, + "step": 4540 + }, + { + "epoch": 0.87, + "learning_rate": 8.219587045996203e-07, + "loss": 0.981, + "step": 4541 + }, + { + "epoch": 0.87, + "learning_rate": 8.194856515867433e-07, + "loss": 0.91, + "step": 4542 + }, + { + "epoch": 0.87, + "learning_rate": 8.170161655949139e-07, + "loss": 0.9262, + "step": 4543 + }, + { + "epoch": 0.87, + "learning_rate": 8.145502475836331e-07, + "loss": 0.8668, + "step": 4544 + }, + { + "epoch": 0.87, + "learning_rate": 8.120878985110181e-07, + "loss": 0.9041, + "step": 4545 + }, + { + "epoch": 0.87, + "learning_rate": 8.096291193337935e-07, + "loss": 0.8911, + "step": 4546 + }, + { + "epoch": 0.88, + "learning_rate": 8.071739110073018e-07, + "loss": 1.0051, + "step": 4547 + }, + { + "epoch": 0.88, + "learning_rate": 8.047222744854943e-07, + "loss": 0.9674, + "step": 4548 + }, + { + "epoch": 0.88, + "learning_rate": 8.022742107209369e-07, + "loss": 0.898, + "step": 4549 + }, + { + "epoch": 0.88, + "learning_rate": 7.998297206648075e-07, + "loss": 0.9714, + "step": 4550 + }, + { + "epoch": 0.88, + "learning_rate": 7.973888052668943e-07, + "loss": 0.9831, + "step": 4551 + }, + { + "epoch": 0.88, + "learning_rate": 7.949514654755963e-07, + "loss": 0.8436, + "step": 4552 + }, + { + "epoch": 0.88, + "learning_rate": 7.925177022379249e-07, + "loss": 0.8827, + "step": 4553 + }, + { + "epoch": 0.88, + "learning_rate": 7.900875164995003e-07, + "loss": 1.0122, + "step": 4554 + }, + { + "epoch": 0.88, + "learning_rate": 7.876609092045528e-07, + "loss": 0.9267, + "step": 4555 + }, + { + "epoch": 0.88, + "learning_rate": 7.852378812959227e-07, + "loss": 0.9546, + "step": 4556 + }, + { + "epoch": 0.88, + "learning_rate": 7.828184337150613e-07, + "loss": 0.9218, + "step": 4557 + }, + { + "epoch": 0.88, + "learning_rate": 7.804025674020266e-07, + "loss": 0.9377, + "step": 4558 + }, + { + "epoch": 0.88, + "learning_rate": 7.779902832954833e-07, + "loss": 0.8794, + "step": 4559 + }, + { + "epoch": 0.88, + "learning_rate": 7.755815823327084e-07, + "loss": 0.9189, + "step": 4560 + }, + { + "epoch": 0.88, + "learning_rate": 7.731764654495832e-07, + "loss": 0.8688, + "step": 4561 + }, + { + "epoch": 0.88, + "learning_rate": 7.707749335806014e-07, + "loss": 0.8915, + "step": 4562 + }, + { + "epoch": 0.88, + "learning_rate": 7.683769876588576e-07, + "loss": 0.978, + "step": 4563 + }, + { + "epoch": 0.88, + "learning_rate": 7.659826286160565e-07, + "loss": 0.9496, + "step": 4564 + }, + { + "epoch": 0.88, + "learning_rate": 7.635918573825096e-07, + "loss": 0.8967, + "step": 4565 + }, + { + "epoch": 0.88, + "learning_rate": 7.612046748871327e-07, + "loss": 0.9718, + "step": 4566 + }, + { + "epoch": 0.88, + "learning_rate": 7.588210820574482e-07, + "loss": 0.9086, + "step": 4567 + }, + { + "epoch": 0.88, + "learning_rate": 7.564410798195832e-07, + "loss": 0.8853, + "step": 4568 + }, + { + "epoch": 0.88, + "learning_rate": 7.540646690982711e-07, + "loss": 0.9159, + "step": 4569 + }, + { + "epoch": 0.88, + "learning_rate": 7.516918508168469e-07, + "loss": 0.9661, + "step": 4570 + }, + { + "epoch": 0.88, + "learning_rate": 7.493226258972519e-07, + "loss": 0.9521, + "step": 4571 + }, + { + "epoch": 0.88, + "learning_rate": 7.46956995260033e-07, + "loss": 0.8624, + "step": 4572 + }, + { + "epoch": 0.88, + "learning_rate": 7.445949598243362e-07, + "loss": 0.9302, + "step": 4573 + }, + { + "epoch": 0.88, + "learning_rate": 7.422365205079141e-07, + "loss": 0.8551, + "step": 4574 + }, + { + "epoch": 0.88, + "learning_rate": 7.398816782271223e-07, + "loss": 0.8957, + "step": 4575 + }, + { + "epoch": 0.88, + "learning_rate": 7.375304338969135e-07, + "loss": 0.8249, + "step": 4576 + }, + { + "epoch": 0.88, + "learning_rate": 7.351827884308493e-07, + "loss": 0.9289, + "step": 4577 + }, + { + "epoch": 0.88, + "learning_rate": 7.328387427410877e-07, + "loss": 0.8456, + "step": 4578 + }, + { + "epoch": 0.88, + "learning_rate": 7.304982977383935e-07, + "loss": 0.8367, + "step": 4579 + }, + { + "epoch": 0.88, + "learning_rate": 7.281614543321269e-07, + "loss": 0.9434, + "step": 4580 + }, + { + "epoch": 0.88, + "learning_rate": 7.258282134302519e-07, + "loss": 0.9824, + "step": 4581 + }, + { + "epoch": 0.88, + "learning_rate": 7.234985759393321e-07, + "loss": 0.9275, + "step": 4582 + }, + { + "epoch": 0.88, + "learning_rate": 7.211725427645311e-07, + "loss": 0.9265, + "step": 4583 + }, + { + "epoch": 0.88, + "learning_rate": 7.188501148096117e-07, + "loss": 0.9616, + "step": 4584 + }, + { + "epoch": 0.88, + "learning_rate": 7.165312929769352e-07, + "loss": 0.9507, + "step": 4585 + }, + { + "epoch": 0.88, + "learning_rate": 7.142160781674645e-07, + "loss": 0.9161, + "step": 4586 + }, + { + "epoch": 0.88, + "learning_rate": 7.119044712807577e-07, + "loss": 0.9645, + "step": 4587 + }, + { + "epoch": 0.88, + "learning_rate": 7.095964732149741e-07, + "loss": 0.9367, + "step": 4588 + }, + { + "epoch": 0.88, + "learning_rate": 7.072920848668674e-07, + "loss": 0.8973, + "step": 4589 + }, + { + "epoch": 0.88, + "learning_rate": 7.049913071317927e-07, + "loss": 0.9043, + "step": 4590 + }, + { + "epoch": 0.88, + "learning_rate": 7.026941409036991e-07, + "loss": 0.9161, + "step": 4591 + }, + { + "epoch": 0.88, + "learning_rate": 7.004005870751341e-07, + "loss": 0.8818, + "step": 4592 + }, + { + "epoch": 0.88, + "learning_rate": 6.981106465372389e-07, + "loss": 0.9685, + "step": 4593 + }, + { + "epoch": 0.88, + "learning_rate": 6.958243201797554e-07, + "loss": 0.8817, + "step": 4594 + }, + { + "epoch": 0.88, + "learning_rate": 6.935416088910185e-07, + "loss": 0.886, + "step": 4595 + }, + { + "epoch": 0.88, + "learning_rate": 6.912625135579587e-07, + "loss": 0.9392, + "step": 4596 + }, + { + "epoch": 0.88, + "learning_rate": 6.889870350661009e-07, + "loss": 0.9476, + "step": 4597 + }, + { + "epoch": 0.88, + "learning_rate": 6.867151742995659e-07, + "loss": 0.9254, + "step": 4598 + }, + { + "epoch": 0.89, + "learning_rate": 6.844469321410685e-07, + "loss": 0.8814, + "step": 4599 + }, + { + "epoch": 0.89, + "learning_rate": 6.821823094719171e-07, + "loss": 0.9579, + "step": 4600 + }, + { + "epoch": 0.89, + "learning_rate": 6.799213071720156e-07, + "loss": 0.9128, + "step": 4601 + }, + { + "epoch": 0.89, + "learning_rate": 6.776639261198581e-07, + "loss": 0.9085, + "step": 4602 + }, + { + "epoch": 0.89, + "learning_rate": 6.754101671925339e-07, + "loss": 0.8647, + "step": 4603 + }, + { + "epoch": 0.89, + "learning_rate": 6.731600312657238e-07, + "loss": 0.9622, + "step": 4604 + }, + { + "epoch": 0.89, + "learning_rate": 6.709135192137018e-07, + "loss": 0.9131, + "step": 4605 + }, + { + "epoch": 0.89, + "learning_rate": 6.68670631909335e-07, + "loss": 0.9304, + "step": 4606 + }, + { + "epoch": 0.89, + "learning_rate": 6.664313702240788e-07, + "loss": 0.8382, + "step": 4607 + }, + { + "epoch": 0.89, + "learning_rate": 6.641957350279838e-07, + "loss": 0.9778, + "step": 4608 + }, + { + "epoch": 0.89, + "learning_rate": 6.619637271896873e-07, + "loss": 0.8727, + "step": 4609 + }, + { + "epoch": 0.89, + "learning_rate": 6.597353475764201e-07, + "loss": 0.9561, + "step": 4610 + }, + { + "epoch": 0.89, + "learning_rate": 6.57510597054003e-07, + "loss": 0.8666, + "step": 4611 + }, + { + "epoch": 0.89, + "learning_rate": 6.552894764868456e-07, + "loss": 1.0267, + "step": 4612 + }, + { + "epoch": 0.89, + "learning_rate": 6.530719867379498e-07, + "loss": 0.8362, + "step": 4613 + }, + { + "epoch": 0.89, + "learning_rate": 6.508581286689031e-07, + "loss": 0.8964, + "step": 4614 + }, + { + "epoch": 0.89, + "learning_rate": 6.48647903139884e-07, + "loss": 0.943, + "step": 4615 + }, + { + "epoch": 0.89, + "learning_rate": 6.464413110096601e-07, + "loss": 0.8813, + "step": 4616 + }, + { + "epoch": 0.89, + "learning_rate": 6.442383531355856e-07, + "loss": 0.9031, + "step": 4617 + }, + { + "epoch": 0.89, + "learning_rate": 6.420390303736034e-07, + "loss": 0.9313, + "step": 4618 + }, + { + "epoch": 0.89, + "learning_rate": 6.398433435782459e-07, + "loss": 0.9409, + "step": 4619 + }, + { + "epoch": 0.89, + "learning_rate": 6.37651293602628e-07, + "loss": 0.9339, + "step": 4620 + }, + { + "epoch": 0.89, + "learning_rate": 6.354628812984576e-07, + "loss": 0.9436, + "step": 4621 + }, + { + "epoch": 0.89, + "learning_rate": 6.332781075160244e-07, + "loss": 0.895, + "step": 4622 + }, + { + "epoch": 0.89, + "learning_rate": 6.31096973104206e-07, + "loss": 0.8914, + "step": 4623 + }, + { + "epoch": 0.89, + "learning_rate": 6.28919478910468e-07, + "loss": 0.987, + "step": 4624 + }, + { + "epoch": 0.89, + "learning_rate": 6.26745625780858e-07, + "loss": 0.9372, + "step": 4625 + }, + { + "epoch": 0.89, + "learning_rate": 6.245754145600091e-07, + "loss": 1.0074, + "step": 4626 + }, + { + "epoch": 0.89, + "learning_rate": 6.224088460911437e-07, + "loss": 0.9625, + "step": 4627 + }, + { + "epoch": 0.89, + "learning_rate": 6.202459212160638e-07, + "loss": 0.8194, + "step": 4628 + }, + { + "epoch": 0.89, + "learning_rate": 6.180866407751595e-07, + "loss": 0.9243, + "step": 4629 + }, + { + "epoch": 0.89, + "learning_rate": 6.15931005607403e-07, + "loss": 0.9071, + "step": 4630 + }, + { + "epoch": 0.89, + "learning_rate": 6.137790165503499e-07, + "loss": 0.8269, + "step": 4631 + }, + { + "epoch": 0.89, + "learning_rate": 6.116306744401391e-07, + "loss": 0.9139, + "step": 4632 + }, + { + "epoch": 0.89, + "learning_rate": 6.09485980111495e-07, + "loss": 0.9465, + "step": 4633 + }, + { + "epoch": 0.89, + "learning_rate": 6.073449343977211e-07, + "loss": 0.9217, + "step": 4634 + }, + { + "epoch": 0.89, + "learning_rate": 6.052075381307054e-07, + "loss": 0.9337, + "step": 4635 + }, + { + "epoch": 0.89, + "learning_rate": 6.030737921409169e-07, + "loss": 0.9599, + "step": 4636 + }, + { + "epoch": 0.89, + "learning_rate": 6.009436972574079e-07, + "loss": 0.9415, + "step": 4637 + }, + { + "epoch": 0.89, + "learning_rate": 5.988172543078097e-07, + "loss": 0.9169, + "step": 4638 + }, + { + "epoch": 0.89, + "learning_rate": 5.966944641183369e-07, + "loss": 0.7992, + "step": 4639 + }, + { + "epoch": 0.89, + "learning_rate": 5.945753275137844e-07, + "loss": 0.9506, + "step": 4640 + }, + { + "epoch": 0.89, + "learning_rate": 5.924598453175278e-07, + "loss": 0.9657, + "step": 4641 + }, + { + "epoch": 0.89, + "learning_rate": 5.903480183515197e-07, + "loss": 0.8766, + "step": 4642 + }, + { + "epoch": 0.89, + "learning_rate": 5.882398474362949e-07, + "loss": 0.9821, + "step": 4643 + }, + { + "epoch": 0.89, + "learning_rate": 5.861353333909692e-07, + "loss": 0.9543, + "step": 4644 + }, + { + "epoch": 0.89, + "learning_rate": 5.840344770332351e-07, + "loss": 0.9494, + "step": 4645 + }, + { + "epoch": 0.89, + "learning_rate": 5.819372791793654e-07, + "loss": 0.9031, + "step": 4646 + }, + { + "epoch": 0.89, + "learning_rate": 5.798437406442104e-07, + "loss": 0.9233, + "step": 4647 + }, + { + "epoch": 0.89, + "learning_rate": 5.777538622412005e-07, + "loss": 0.9055, + "step": 4648 + }, + { + "epoch": 0.89, + "learning_rate": 5.756676447823406e-07, + "loss": 0.9671, + "step": 4649 + }, + { + "epoch": 0.89, + "learning_rate": 5.735850890782158e-07, + "loss": 0.8546, + "step": 4650 + }, + { + "epoch": 0.9, + "learning_rate": 5.715061959379875e-07, + "loss": 0.9216, + "step": 4651 + }, + { + "epoch": 0.9, + "learning_rate": 5.694309661693942e-07, + "loss": 0.9055, + "step": 4652 + }, + { + "epoch": 0.9, + "learning_rate": 5.67359400578752e-07, + "loss": 0.9763, + "step": 4653 + }, + { + "epoch": 0.9, + "learning_rate": 5.652914999709535e-07, + "loss": 0.9307, + "step": 4654 + }, + { + "epoch": 0.9, + "learning_rate": 5.632272651494631e-07, + "loss": 0.9152, + "step": 4655 + }, + { + "epoch": 0.9, + "learning_rate": 5.611666969163243e-07, + "loss": 0.9059, + "step": 4656 + }, + { + "epoch": 0.9, + "learning_rate": 5.591097960721581e-07, + "loss": 0.8134, + "step": 4657 + }, + { + "epoch": 0.9, + "learning_rate": 5.570565634161562e-07, + "loss": 0.9509, + "step": 4658 + }, + { + "epoch": 0.9, + "learning_rate": 5.550069997460872e-07, + "loss": 0.924, + "step": 4659 + }, + { + "epoch": 0.9, + "learning_rate": 5.529611058582951e-07, + "loss": 0.8762, + "step": 4660 + }, + { + "epoch": 0.9, + "learning_rate": 5.509188825476964e-07, + "loss": 0.8503, + "step": 4661 + }, + { + "epoch": 0.9, + "learning_rate": 5.488803306077806e-07, + "loss": 0.9255, + "step": 4662 + }, + { + "epoch": 0.9, + "learning_rate": 5.468454508306131e-07, + "loss": 0.9062, + "step": 4663 + }, + { + "epoch": 0.9, + "learning_rate": 5.448142440068316e-07, + "loss": 0.8853, + "step": 4664 + }, + { + "epoch": 0.9, + "learning_rate": 5.427867109256457e-07, + "loss": 0.7968, + "step": 4665 + }, + { + "epoch": 0.9, + "learning_rate": 5.407628523748398e-07, + "loss": 0.8571, + "step": 4666 + }, + { + "epoch": 0.9, + "learning_rate": 5.387426691407682e-07, + "loss": 0.9932, + "step": 4667 + }, + { + "epoch": 0.9, + "learning_rate": 5.367261620083575e-07, + "loss": 0.9232, + "step": 4668 + }, + { + "epoch": 0.9, + "learning_rate": 5.347133317611075e-07, + "loss": 0.8997, + "step": 4669 + }, + { + "epoch": 0.9, + "learning_rate": 5.327041791810905e-07, + "loss": 0.8648, + "step": 4670 + }, + { + "epoch": 0.9, + "learning_rate": 5.306987050489442e-07, + "loss": 0.9305, + "step": 4671 + }, + { + "epoch": 0.9, + "learning_rate": 5.286969101438821e-07, + "loss": 0.842, + "step": 4672 + }, + { + "epoch": 0.9, + "learning_rate": 5.266987952436875e-07, + "loss": 0.9763, + "step": 4673 + }, + { + "epoch": 0.9, + "learning_rate": 5.247043611247127e-07, + "loss": 0.9318, + "step": 4674 + }, + { + "epoch": 0.9, + "learning_rate": 5.227136085618801e-07, + "loss": 0.9256, + "step": 4675 + }, + { + "epoch": 0.9, + "learning_rate": 5.207265383286831e-07, + "loss": 0.8756, + "step": 4676 + }, + { + "epoch": 0.9, + "learning_rate": 5.187431511971819e-07, + "loss": 0.8931, + "step": 4677 + }, + { + "epoch": 0.9, + "learning_rate": 5.167634479380068e-07, + "loss": 0.9079, + "step": 4678 + }, + { + "epoch": 0.9, + "learning_rate": 5.147874293203581e-07, + "loss": 0.9291, + "step": 4679 + }, + { + "epoch": 0.9, + "learning_rate": 5.128150961120026e-07, + "loss": 0.9791, + "step": 4680 + }, + { + "epoch": 0.9, + "learning_rate": 5.108464490792753e-07, + "loss": 0.9825, + "step": 4681 + }, + { + "epoch": 0.9, + "learning_rate": 5.088814889870808e-07, + "loss": 1.0013, + "step": 4682 + }, + { + "epoch": 0.9, + "learning_rate": 5.069202165988874e-07, + "loss": 0.8623, + "step": 4683 + }, + { + "epoch": 0.9, + "learning_rate": 5.049626326767366e-07, + "loss": 0.9128, + "step": 4684 + }, + { + "epoch": 0.9, + "learning_rate": 5.030087379812299e-07, + "loss": 0.8684, + "step": 4685 + }, + { + "epoch": 0.9, + "learning_rate": 5.010585332715401e-07, + "loss": 0.9313, + "step": 4686 + }, + { + "epoch": 0.9, + "learning_rate": 4.991120193054056e-07, + "loss": 0.8807, + "step": 4687 + }, + { + "epoch": 0.9, + "learning_rate": 4.97169196839129e-07, + "loss": 0.9733, + "step": 4688 + }, + { + "epoch": 0.9, + "learning_rate": 4.952300666275789e-07, + "loss": 0.9472, + "step": 4689 + }, + { + "epoch": 0.9, + "learning_rate": 4.932946294241903e-07, + "loss": 0.9057, + "step": 4690 + }, + { + "epoch": 0.9, + "learning_rate": 4.913628859809638e-07, + "loss": 0.899, + "step": 4691 + }, + { + "epoch": 0.9, + "learning_rate": 4.894348370484648e-07, + "loss": 0.8536, + "step": 4692 + }, + { + "epoch": 0.9, + "learning_rate": 4.875104833758204e-07, + "loss": 0.9502, + "step": 4693 + }, + { + "epoch": 0.9, + "learning_rate": 4.855898257107261e-07, + "loss": 0.9131, + "step": 4694 + }, + { + "epoch": 0.9, + "learning_rate": 4.836728647994371e-07, + "loss": 0.9301, + "step": 4695 + }, + { + "epoch": 0.9, + "learning_rate": 4.817596013867765e-07, + "loss": 0.9229, + "step": 4696 + }, + { + "epoch": 0.9, + "learning_rate": 4.798500362161273e-07, + "loss": 0.953, + "step": 4697 + }, + { + "epoch": 0.9, + "learning_rate": 4.779441700294362e-07, + "loss": 0.9832, + "step": 4698 + }, + { + "epoch": 0.9, + "learning_rate": 4.7604200356721644e-07, + "loss": 0.9062, + "step": 4699 + }, + { + "epoch": 0.9, + "learning_rate": 4.7414353756853773e-07, + "loss": 0.8863, + "step": 4700 + }, + { + "epoch": 0.9, + "learning_rate": 4.7224877277103673e-07, + "loss": 0.9353, + "step": 4701 + }, + { + "epoch": 0.9, + "learning_rate": 4.703577099109091e-07, + "loss": 0.9188, + "step": 4702 + }, + { + "epoch": 0.91, + "learning_rate": 4.6847034972291595e-07, + "loss": 0.8918, + "step": 4703 + }, + { + "epoch": 0.91, + "learning_rate": 4.6658669294037393e-07, + "loss": 0.9481, + "step": 4704 + }, + { + "epoch": 0.91, + "learning_rate": 4.647067402951655e-07, + "loss": 0.8933, + "step": 4705 + }, + { + "epoch": 0.91, + "learning_rate": 4.628304925177318e-07, + "loss": 0.898, + "step": 4706 + }, + { + "epoch": 0.91, + "learning_rate": 4.609579503370754e-07, + "loss": 0.8944, + "step": 4707 + }, + { + "epoch": 0.91, + "learning_rate": 4.5908911448075746e-07, + "loss": 0.845, + "step": 4708 + }, + { + "epoch": 0.91, + "learning_rate": 4.572239856749028e-07, + "loss": 0.9805, + "step": 4709 + }, + { + "epoch": 0.91, + "learning_rate": 4.553625646441928e-07, + "loss": 0.8619, + "step": 4710 + }, + { + "epoch": 0.91, + "learning_rate": 4.535048521118668e-07, + "loss": 0.9189, + "step": 4711 + }, + { + "epoch": 0.91, + "learning_rate": 4.5165084879972844e-07, + "loss": 0.9112, + "step": 4712 + }, + { + "epoch": 0.91, + "learning_rate": 4.498005554281337e-07, + "loss": 0.9501, + "step": 4713 + }, + { + "epoch": 0.91, + "learning_rate": 4.4795397271600314e-07, + "loss": 0.9474, + "step": 4714 + }, + { + "epoch": 0.91, + "learning_rate": 4.461111013808117e-07, + "loss": 0.9875, + "step": 4715 + }, + { + "epoch": 0.91, + "learning_rate": 4.4427194213859216e-07, + "loss": 0.9313, + "step": 4716 + }, + { + "epoch": 0.91, + "learning_rate": 4.424364957039384e-07, + "loss": 0.9244, + "step": 4717 + }, + { + "epoch": 0.91, + "learning_rate": 4.4060476278999897e-07, + "loss": 0.9597, + "step": 4718 + }, + { + "epoch": 0.91, + "learning_rate": 4.3877674410848005e-07, + "loss": 0.8621, + "step": 4719 + }, + { + "epoch": 0.91, + "learning_rate": 4.3695244036964567e-07, + "loss": 0.8945, + "step": 4720 + }, + { + "epoch": 0.91, + "learning_rate": 4.351318522823134e-07, + "loss": 0.9069, + "step": 4721 + }, + { + "epoch": 0.91, + "learning_rate": 4.3331498055386057e-07, + "loss": 0.888, + "step": 4722 + }, + { + "epoch": 0.91, + "learning_rate": 4.3150182589021926e-07, + "loss": 0.9267, + "step": 4723 + }, + { + "epoch": 0.91, + "learning_rate": 4.296923889958771e-07, + "loss": 0.8633, + "step": 4724 + }, + { + "epoch": 0.91, + "learning_rate": 4.278866705738782e-07, + "loss": 0.9249, + "step": 4725 + }, + { + "epoch": 0.91, + "learning_rate": 4.2608467132581934e-07, + "loss": 0.9289, + "step": 4726 + }, + { + "epoch": 0.91, + "learning_rate": 4.2428639195185585e-07, + "loss": 0.8356, + "step": 4727 + }, + { + "epoch": 0.91, + "learning_rate": 4.224918331506955e-07, + "loss": 0.853, + "step": 4728 + }, + { + "epoch": 0.91, + "learning_rate": 4.2070099561960064e-07, + "loss": 0.9587, + "step": 4729 + }, + { + "epoch": 0.91, + "learning_rate": 4.189138800543868e-07, + "loss": 0.9814, + "step": 4730 + }, + { + "epoch": 0.91, + "learning_rate": 4.171304871494264e-07, + "loss": 0.8683, + "step": 4731 + }, + { + "epoch": 0.91, + "learning_rate": 4.1535081759764286e-07, + "loss": 0.9232, + "step": 4732 + }, + { + "epoch": 0.91, + "learning_rate": 4.1357487209051416e-07, + "loss": 0.902, + "step": 4733 + }, + { + "epoch": 0.91, + "learning_rate": 4.118026513180695e-07, + "loss": 0.8974, + "step": 4734 + }, + { + "epoch": 0.91, + "learning_rate": 4.1003415596889363e-07, + "loss": 0.9875, + "step": 4735 + }, + { + "epoch": 0.91, + "learning_rate": 4.082693867301224e-07, + "loss": 0.9169, + "step": 4736 + }, + { + "epoch": 0.91, + "learning_rate": 4.065083442874418e-07, + "loss": 0.9493, + "step": 4737 + }, + { + "epoch": 0.91, + "learning_rate": 4.0475102932509336e-07, + "loss": 0.9162, + "step": 4738 + }, + { + "epoch": 0.91, + "learning_rate": 4.029974425258687e-07, + "loss": 0.8713, + "step": 4739 + }, + { + "epoch": 0.91, + "learning_rate": 4.012475845711106e-07, + "loss": 0.9522, + "step": 4740 + }, + { + "epoch": 0.91, + "learning_rate": 3.99501456140714e-07, + "loss": 0.8904, + "step": 4741 + }, + { + "epoch": 0.91, + "learning_rate": 3.9775905791312407e-07, + "loss": 0.9053, + "step": 4742 + }, + { + "epoch": 0.91, + "learning_rate": 3.96020390565337e-07, + "loss": 0.9755, + "step": 4743 + }, + { + "epoch": 0.91, + "learning_rate": 3.9428545477289913e-07, + "loss": 0.9238, + "step": 4744 + }, + { + "epoch": 0.91, + "learning_rate": 3.9255425120990564e-07, + "loss": 0.9464, + "step": 4745 + }, + { + "epoch": 0.91, + "learning_rate": 3.908267805490051e-07, + "loss": 0.9345, + "step": 4746 + }, + { + "epoch": 0.91, + "learning_rate": 3.8910304346139185e-07, + "loss": 0.9118, + "step": 4747 + }, + { + "epoch": 0.91, + "learning_rate": 3.8738304061681107e-07, + "loss": 0.8689, + "step": 4748 + }, + { + "epoch": 0.91, + "learning_rate": 3.8566677268355943e-07, + "loss": 0.8946, + "step": 4749 + }, + { + "epoch": 0.91, + "learning_rate": 3.8395424032847686e-07, + "loss": 0.8193, + "step": 4750 + }, + { + "epoch": 0.91, + "learning_rate": 3.8224544421695766e-07, + "loss": 1.0324, + "step": 4751 + }, + { + "epoch": 0.91, + "learning_rate": 3.8054038501294077e-07, + "loss": 0.8421, + "step": 4752 + }, + { + "epoch": 0.91, + "learning_rate": 3.788390633789163e-07, + "loss": 1.0258, + "step": 4753 + }, + { + "epoch": 0.91, + "learning_rate": 3.7714147997591655e-07, + "loss": 0.9288, + "step": 4754 + }, + { + "epoch": 0.92, + "learning_rate": 3.7544763546352834e-07, + "loss": 0.9841, + "step": 4755 + }, + { + "epoch": 0.92, + "learning_rate": 3.7375753049987974e-07, + "loss": 0.8938, + "step": 4756 + }, + { + "epoch": 0.92, + "learning_rate": 3.7207116574165094e-07, + "loss": 0.9137, + "step": 4757 + }, + { + "epoch": 0.92, + "learning_rate": 3.703885418440656e-07, + "loss": 0.9582, + "step": 4758 + }, + { + "epoch": 0.92, + "learning_rate": 3.687096594608941e-07, + "loss": 0.9631, + "step": 4759 + }, + { + "epoch": 0.92, + "learning_rate": 3.6703451924445467e-07, + "loss": 0.8503, + "step": 4760 + }, + { + "epoch": 0.92, + "learning_rate": 3.6536312184560996e-07, + "loss": 0.9138, + "step": 4761 + }, + { + "epoch": 0.92, + "learning_rate": 3.6369546791377054e-07, + "loss": 0.9919, + "step": 4762 + }, + { + "epoch": 0.92, + "learning_rate": 3.620315580968892e-07, + "loss": 0.9412, + "step": 4763 + }, + { + "epoch": 0.92, + "learning_rate": 3.603713930414676e-07, + "loss": 1.0058, + "step": 4764 + }, + { + "epoch": 0.92, + "learning_rate": 3.587149733925488e-07, + "loss": 0.9287, + "step": 4765 + }, + { + "epoch": 0.92, + "learning_rate": 3.570622997937234e-07, + "loss": 0.9625, + "step": 4766 + }, + { + "epoch": 0.92, + "learning_rate": 3.5541337288712564e-07, + "loss": 0.9503, + "step": 4767 + }, + { + "epoch": 0.92, + "learning_rate": 3.5376819331343404e-07, + "loss": 0.9517, + "step": 4768 + }, + { + "epoch": 0.92, + "learning_rate": 3.5212676171187065e-07, + "loss": 0.9404, + "step": 4769 + }, + { + "epoch": 0.92, + "learning_rate": 3.50489078720202e-07, + "loss": 0.9177, + "step": 4770 + }, + { + "epoch": 0.92, + "learning_rate": 3.4885514497473574e-07, + "loss": 0.9766, + "step": 4771 + }, + { + "epoch": 0.92, + "learning_rate": 3.472249611103273e-07, + "loss": 0.9098, + "step": 4772 + }, + { + "epoch": 0.92, + "learning_rate": 3.455985277603713e-07, + "loss": 0.9199, + "step": 4773 + }, + { + "epoch": 0.92, + "learning_rate": 3.4397584555680653e-07, + "loss": 0.8695, + "step": 4774 + }, + { + "epoch": 0.92, + "learning_rate": 3.4235691513011425e-07, + "loss": 0.9252, + "step": 4775 + }, + { + "epoch": 0.92, + "learning_rate": 3.4074173710931804e-07, + "loss": 0.8716, + "step": 4776 + }, + { + "epoch": 0.92, + "learning_rate": 3.3913031212198356e-07, + "loss": 0.8836, + "step": 4777 + }, + { + "epoch": 0.92, + "learning_rate": 3.375226407942178e-07, + "loss": 0.9861, + "step": 4778 + }, + { + "epoch": 0.92, + "learning_rate": 3.359187237506689e-07, + "loss": 0.9012, + "step": 4779 + }, + { + "epoch": 0.92, + "learning_rate": 3.3431856161452835e-07, + "loss": 0.9213, + "step": 4780 + }, + { + "epoch": 0.92, + "learning_rate": 3.327221550075266e-07, + "loss": 0.9133, + "step": 4781 + }, + { + "epoch": 0.92, + "learning_rate": 3.3112950454993633e-07, + "loss": 0.9969, + "step": 4782 + }, + { + "epoch": 0.92, + "learning_rate": 3.2954061086056924e-07, + "loss": 1.0146, + "step": 4783 + }, + { + "epoch": 0.92, + "learning_rate": 3.2795547455677813e-07, + "loss": 0.8801, + "step": 4784 + }, + { + "epoch": 0.92, + "learning_rate": 3.26374096254457e-07, + "loss": 0.9735, + "step": 4785 + }, + { + "epoch": 0.92, + "learning_rate": 3.247964765680389e-07, + "loss": 0.853, + "step": 4786 + }, + { + "epoch": 0.92, + "learning_rate": 3.2322261611049457e-07, + "loss": 0.8796, + "step": 4787 + }, + { + "epoch": 0.92, + "learning_rate": 3.2165251549333585e-07, + "loss": 0.9211, + "step": 4788 + }, + { + "epoch": 0.92, + "learning_rate": 3.20086175326616e-07, + "loss": 0.9203, + "step": 4789 + }, + { + "epoch": 0.92, + "learning_rate": 3.185235962189237e-07, + "loss": 0.9591, + "step": 4790 + }, + { + "epoch": 0.92, + "learning_rate": 3.1696477877738664e-07, + "loss": 0.9624, + "step": 4791 + }, + { + "epoch": 0.92, + "learning_rate": 3.1540972360767254e-07, + "loss": 0.8923, + "step": 4792 + }, + { + "epoch": 0.92, + "learning_rate": 3.1385843131398697e-07, + "loss": 0.9879, + "step": 4793 + }, + { + "epoch": 0.92, + "learning_rate": 3.1231090249907336e-07, + "loss": 0.885, + "step": 4794 + }, + { + "epoch": 0.92, + "learning_rate": 3.107671377642119e-07, + "loss": 0.9608, + "step": 4795 + }, + { + "epoch": 0.92, + "learning_rate": 3.0922713770922155e-07, + "loss": 0.8609, + "step": 4796 + }, + { + "epoch": 0.92, + "learning_rate": 3.076909029324571e-07, + "loss": 0.8981, + "step": 4797 + }, + { + "epoch": 0.92, + "learning_rate": 3.06158434030811e-07, + "loss": 0.9282, + "step": 4798 + }, + { + "epoch": 0.92, + "learning_rate": 3.0462973159971375e-07, + "loss": 0.9878, + "step": 4799 + }, + { + "epoch": 0.92, + "learning_rate": 3.0310479623313125e-07, + "loss": 0.9276, + "step": 4800 + }, + { + "epoch": 0.92, + "learning_rate": 3.0158362852356627e-07, + "loss": 0.8634, + "step": 4801 + }, + { + "epoch": 0.92, + "learning_rate": 3.0006622906205707e-07, + "loss": 0.9671, + "step": 4802 + }, + { + "epoch": 0.92, + "learning_rate": 2.985525984381754e-07, + "loss": 0.8335, + "step": 4803 + }, + { + "epoch": 0.92, + "learning_rate": 2.970427372400353e-07, + "loss": 0.9482, + "step": 4804 + }, + { + "epoch": 0.92, + "learning_rate": 2.955366460542797e-07, + "loss": 0.9721, + "step": 4805 + }, + { + "epoch": 0.92, + "learning_rate": 2.940343254660905e-07, + "loss": 0.9828, + "step": 4806 + }, + { + "epoch": 0.93, + "learning_rate": 2.925357760591818e-07, + "loss": 0.9921, + "step": 4807 + }, + { + "epoch": 0.93, + "learning_rate": 2.910409984158058e-07, + "loss": 0.8818, + "step": 4808 + }, + { + "epoch": 0.93, + "learning_rate": 2.8954999311674557e-07, + "loss": 0.966, + "step": 4809 + }, + { + "epoch": 0.93, + "learning_rate": 2.880627607413211e-07, + "loss": 0.9374, + "step": 4810 + }, + { + "epoch": 0.93, + "learning_rate": 2.865793018673857e-07, + "loss": 0.9162, + "step": 4811 + }, + { + "epoch": 0.93, + "learning_rate": 2.8509961707132496e-07, + "loss": 0.9469, + "step": 4812 + }, + { + "epoch": 0.93, + "learning_rate": 2.8362370692806117e-07, + "loss": 0.9752, + "step": 4813 + }, + { + "epoch": 0.93, + "learning_rate": 2.821515720110479e-07, + "loss": 0.8861, + "step": 4814 + }, + { + "epoch": 0.93, + "learning_rate": 2.806832128922732e-07, + "loss": 0.9751, + "step": 4815 + }, + { + "epoch": 0.93, + "learning_rate": 2.7921863014225504e-07, + "loss": 0.8933, + "step": 4816 + }, + { + "epoch": 0.93, + "learning_rate": 2.7775782433004714e-07, + "loss": 0.9848, + "step": 4817 + }, + { + "epoch": 0.93, + "learning_rate": 2.7630079602323447e-07, + "loss": 0.9007, + "step": 4818 + }, + { + "epoch": 0.93, + "learning_rate": 2.7484754578793513e-07, + "loss": 0.9696, + "step": 4819 + }, + { + "epoch": 0.93, + "learning_rate": 2.733980741887987e-07, + "loss": 0.943, + "step": 4820 + }, + { + "epoch": 0.93, + "learning_rate": 2.7195238178900685e-07, + "loss": 0.9013, + "step": 4821 + }, + { + "epoch": 0.93, + "learning_rate": 2.7051046915027244e-07, + "loss": 1.0132, + "step": 4822 + }, + { + "epoch": 0.93, + "learning_rate": 2.690723368328407e-07, + "loss": 0.9667, + "step": 4823 + }, + { + "epoch": 0.93, + "learning_rate": 2.676379853954858e-07, + "loss": 0.8621, + "step": 4824 + }, + { + "epoch": 0.93, + "learning_rate": 2.662074153955152e-07, + "loss": 0.8826, + "step": 4825 + }, + { + "epoch": 0.93, + "learning_rate": 2.6478062738876654e-07, + "loss": 0.9542, + "step": 4826 + }, + { + "epoch": 0.93, + "learning_rate": 2.6335762192960743e-07, + "loss": 0.9566, + "step": 4827 + }, + { + "epoch": 0.93, + "learning_rate": 2.6193839957093683e-07, + "loss": 0.941, + "step": 4828 + }, + { + "epoch": 0.93, + "learning_rate": 2.605229608641824e-07, + "loss": 0.9, + "step": 4829 + }, + { + "epoch": 0.93, + "learning_rate": 2.5911130635930203e-07, + "loss": 1.0128, + "step": 4830 + }, + { + "epoch": 0.93, + "learning_rate": 2.577034366047848e-07, + "loss": 0.8651, + "step": 4831 + }, + { + "epoch": 0.93, + "learning_rate": 2.5629935214764866e-07, + "loss": 0.955, + "step": 4832 + }, + { + "epoch": 0.93, + "learning_rate": 2.5489905353343725e-07, + "loss": 0.967, + "step": 4833 + }, + { + "epoch": 0.93, + "learning_rate": 2.5350254130622866e-07, + "loss": 0.9652, + "step": 4834 + }, + { + "epoch": 0.93, + "learning_rate": 2.5210981600862663e-07, + "loss": 0.8334, + "step": 4835 + }, + { + "epoch": 0.93, + "learning_rate": 2.507208781817638e-07, + "loss": 0.9952, + "step": 4836 + }, + { + "epoch": 0.93, + "learning_rate": 2.4933572836530307e-07, + "loss": 0.9871, + "step": 4837 + }, + { + "epoch": 0.93, + "learning_rate": 2.4795436709743384e-07, + "loss": 0.9293, + "step": 4838 + }, + { + "epoch": 0.93, + "learning_rate": 2.465767949148734e-07, + "loss": 0.9391, + "step": 4839 + }, + { + "epoch": 0.93, + "learning_rate": 2.45203012352867e-07, + "loss": 0.9024, + "step": 4840 + }, + { + "epoch": 0.93, + "learning_rate": 2.4383301994518773e-07, + "loss": 1.0161, + "step": 4841 + }, + { + "epoch": 0.93, + "learning_rate": 2.424668182241363e-07, + "loss": 0.8287, + "step": 4842 + }, + { + "epoch": 0.93, + "learning_rate": 2.4110440772054155e-07, + "loss": 0.862, + "step": 4843 + }, + { + "epoch": 0.93, + "learning_rate": 2.3974578896375555e-07, + "loss": 0.9216, + "step": 4844 + }, + { + "epoch": 0.93, + "learning_rate": 2.383909624816616e-07, + "loss": 0.8784, + "step": 4845 + }, + { + "epoch": 0.93, + "learning_rate": 2.370399288006664e-07, + "loss": 0.9338, + "step": 4846 + }, + { + "epoch": 0.93, + "learning_rate": 2.3569268844570447e-07, + "loss": 0.872, + "step": 4847 + }, + { + "epoch": 0.93, + "learning_rate": 2.3434924194023712e-07, + "loss": 0.8813, + "step": 4848 + }, + { + "epoch": 0.93, + "learning_rate": 2.3300958980624787e-07, + "loss": 0.9905, + "step": 4849 + }, + { + "epoch": 0.93, + "learning_rate": 2.3167373256425152e-07, + "loss": 0.9097, + "step": 4850 + }, + { + "epoch": 0.93, + "learning_rate": 2.3034167073328283e-07, + "loss": 1.004, + "step": 4851 + }, + { + "epoch": 0.93, + "learning_rate": 2.2901340483090785e-07, + "loss": 0.9356, + "step": 4852 + }, + { + "epoch": 0.93, + "learning_rate": 2.2768893537321145e-07, + "loss": 0.8965, + "step": 4853 + }, + { + "epoch": 0.93, + "learning_rate": 2.2636826287480872e-07, + "loss": 0.9027, + "step": 4854 + }, + { + "epoch": 0.93, + "learning_rate": 2.2505138784883585e-07, + "loss": 0.946, + "step": 4855 + }, + { + "epoch": 0.93, + "learning_rate": 2.2373831080695463e-07, + "loss": 0.9475, + "step": 4856 + }, + { + "epoch": 0.93, + "learning_rate": 2.2242903225935254e-07, + "loss": 0.8996, + "step": 4857 + }, + { + "epoch": 0.93, + "learning_rate": 2.211235527147404e-07, + "loss": 0.9869, + "step": 4858 + }, + { + "epoch": 0.94, + "learning_rate": 2.1982187268035138e-07, + "loss": 0.9042, + "step": 4859 + }, + { + "epoch": 0.94, + "learning_rate": 2.1852399266194312e-07, + "loss": 0.971, + "step": 4860 + }, + { + "epoch": 0.94, + "learning_rate": 2.1722991316380005e-07, + "loss": 0.8704, + "step": 4861 + }, + { + "epoch": 0.94, + "learning_rate": 2.1593963468872435e-07, + "loss": 0.949, + "step": 4862 + }, + { + "epoch": 0.94, + "learning_rate": 2.1465315773804617e-07, + "loss": 0.9074, + "step": 4863 + }, + { + "epoch": 0.94, + "learning_rate": 2.1337048281161565e-07, + "loss": 0.8688, + "step": 4864 + }, + { + "epoch": 0.94, + "learning_rate": 2.1209161040780746e-07, + "loss": 0.9294, + "step": 4865 + }, + { + "epoch": 0.94, + "learning_rate": 2.1081654102351634e-07, + "loss": 1.0243, + "step": 4866 + }, + { + "epoch": 0.94, + "learning_rate": 2.0954527515416156e-07, + "loss": 0.9746, + "step": 4867 + }, + { + "epoch": 0.94, + "learning_rate": 2.082778132936858e-07, + "loss": 1.0031, + "step": 4868 + }, + { + "epoch": 0.94, + "learning_rate": 2.0701415593455065e-07, + "loss": 0.8533, + "step": 4869 + }, + { + "epoch": 0.94, + "learning_rate": 2.057543035677412e-07, + "loss": 0.9575, + "step": 4870 + }, + { + "epoch": 0.94, + "learning_rate": 2.0449825668276246e-07, + "loss": 0.9656, + "step": 4871 + }, + { + "epoch": 0.94, + "learning_rate": 2.0324601576764525e-07, + "loss": 0.9127, + "step": 4872 + }, + { + "epoch": 0.94, + "learning_rate": 2.0199758130893478e-07, + "loss": 0.8764, + "step": 4873 + }, + { + "epoch": 0.94, + "learning_rate": 2.0075295379170413e-07, + "loss": 0.8993, + "step": 4874 + }, + { + "epoch": 0.94, + "learning_rate": 1.9951213369954204e-07, + "loss": 0.9875, + "step": 4875 + }, + { + "epoch": 0.94, + "learning_rate": 1.9827512151456175e-07, + "loss": 0.8628, + "step": 4876 + }, + { + "epoch": 0.94, + "learning_rate": 1.9704191771739322e-07, + "loss": 0.9289, + "step": 4877 + }, + { + "epoch": 0.94, + "learning_rate": 1.95812522787191e-07, + "loss": 0.9434, + "step": 4878 + }, + { + "epoch": 0.94, + "learning_rate": 1.9458693720162513e-07, + "loss": 0.9752, + "step": 4879 + }, + { + "epoch": 0.94, + "learning_rate": 1.933651614368892e-07, + "loss": 0.9418, + "step": 4880 + }, + { + "epoch": 0.94, + "learning_rate": 1.921471959676957e-07, + "loss": 0.844, + "step": 4881 + }, + { + "epoch": 0.94, + "learning_rate": 1.9093304126727497e-07, + "loss": 0.9298, + "step": 4882 + }, + { + "epoch": 0.94, + "learning_rate": 1.897226978073774e-07, + "loss": 0.9164, + "step": 4883 + }, + { + "epoch": 0.94, + "learning_rate": 1.885161660582746e-07, + "loss": 0.8922, + "step": 4884 + }, + { + "epoch": 0.94, + "learning_rate": 1.8731344648875382e-07, + "loss": 0.9993, + "step": 4885 + }, + { + "epoch": 0.94, + "learning_rate": 1.8611453956612346e-07, + "loss": 0.915, + "step": 4886 + }, + { + "epoch": 0.94, + "learning_rate": 1.8491944575621091e-07, + "loss": 0.8623, + "step": 4887 + }, + { + "epoch": 0.94, + "learning_rate": 1.8372816552336025e-07, + "loss": 0.9784, + "step": 4888 + }, + { + "epoch": 0.94, + "learning_rate": 1.8254069933043572e-07, + "loss": 0.9065, + "step": 4889 + }, + { + "epoch": 0.94, + "learning_rate": 1.81357047638816e-07, + "loss": 0.8984, + "step": 4890 + }, + { + "epoch": 0.94, + "learning_rate": 1.8017721090840324e-07, + "loss": 0.9651, + "step": 4891 + }, + { + "epoch": 0.94, + "learning_rate": 1.7900118959761181e-07, + "loss": 0.9478, + "step": 4892 + }, + { + "epoch": 0.94, + "learning_rate": 1.7782898416337735e-07, + "loss": 0.9613, + "step": 4893 + }, + { + "epoch": 0.94, + "learning_rate": 1.7666059506115108e-07, + "loss": 0.8959, + "step": 4894 + }, + { + "epoch": 0.94, + "learning_rate": 1.754960227449032e-07, + "loss": 0.8432, + "step": 4895 + }, + { + "epoch": 0.94, + "learning_rate": 1.7433526766711727e-07, + "loss": 0.9415, + "step": 4896 + }, + { + "epoch": 0.94, + "learning_rate": 1.7317833027879928e-07, + "loss": 0.8921, + "step": 4897 + }, + { + "epoch": 0.94, + "learning_rate": 1.7202521102946624e-07, + "loss": 0.9724, + "step": 4898 + }, + { + "epoch": 0.94, + "learning_rate": 1.7087591036715534e-07, + "loss": 0.8788, + "step": 4899 + }, + { + "epoch": 0.94, + "learning_rate": 1.6973042873841827e-07, + "loss": 0.8355, + "step": 4900 + }, + { + "epoch": 0.94, + "learning_rate": 1.6858876658832235e-07, + "loss": 0.9367, + "step": 4901 + }, + { + "epoch": 0.94, + "learning_rate": 1.6745092436045495e-07, + "loss": 0.8895, + "step": 4902 + }, + { + "epoch": 0.94, + "learning_rate": 1.6631690249691358e-07, + "loss": 0.961, + "step": 4903 + }, + { + "epoch": 0.94, + "learning_rate": 1.651867014383146e-07, + "loss": 0.9839, + "step": 4904 + }, + { + "epoch": 0.94, + "learning_rate": 1.6406032162379127e-07, + "loss": 0.8695, + "step": 4905 + }, + { + "epoch": 0.94, + "learning_rate": 1.629377634909868e-07, + "loss": 0.9713, + "step": 4906 + }, + { + "epoch": 0.94, + "learning_rate": 1.618190274760656e-07, + "loss": 0.8471, + "step": 4907 + }, + { + "epoch": 0.94, + "learning_rate": 1.6070411401370335e-07, + "loss": 0.902, + "step": 4908 + }, + { + "epoch": 0.94, + "learning_rate": 1.5959302353709128e-07, + "loss": 0.8767, + "step": 4909 + }, + { + "epoch": 0.94, + "learning_rate": 1.584857564779363e-07, + "loss": 0.8513, + "step": 4910 + }, + { + "epoch": 0.95, + "learning_rate": 1.5738231326645758e-07, + "loss": 0.9636, + "step": 4911 + }, + { + "epoch": 0.95, + "learning_rate": 1.5628269433139e-07, + "loss": 0.9594, + "step": 4912 + }, + { + "epoch": 0.95, + "learning_rate": 1.5518690009998282e-07, + "loss": 0.9073, + "step": 4913 + }, + { + "epoch": 0.95, + "learning_rate": 1.5409493099799888e-07, + "loss": 0.9096, + "step": 4914 + }, + { + "epoch": 0.95, + "learning_rate": 1.530067874497143e-07, + "loss": 0.8296, + "step": 4915 + }, + { + "epoch": 0.95, + "learning_rate": 1.519224698779198e-07, + "loss": 0.8769, + "step": 4916 + }, + { + "epoch": 0.95, + "learning_rate": 1.5084197870391836e-07, + "loss": 0.8615, + "step": 4917 + }, + { + "epoch": 0.95, + "learning_rate": 1.497653143475275e-07, + "loss": 0.8747, + "step": 4918 + }, + { + "epoch": 0.95, + "learning_rate": 1.486924772270759e-07, + "loss": 0.9181, + "step": 4919 + }, + { + "epoch": 0.95, + "learning_rate": 1.4762346775940794e-07, + "loss": 0.8645, + "step": 4920 + }, + { + "epoch": 0.95, + "learning_rate": 1.465582863598791e-07, + "loss": 0.8965, + "step": 4921 + }, + { + "epoch": 0.95, + "learning_rate": 1.4549693344235726e-07, + "loss": 0.9757, + "step": 4922 + }, + { + "epoch": 0.95, + "learning_rate": 1.444394094192225e-07, + "loss": 0.9533, + "step": 4923 + }, + { + "epoch": 0.95, + "learning_rate": 1.4338571470137063e-07, + "loss": 0.9759, + "step": 4924 + }, + { + "epoch": 0.95, + "learning_rate": 1.4233584969820414e-07, + "loss": 0.9258, + "step": 4925 + }, + { + "epoch": 0.95, + "learning_rate": 1.4128981481764115e-07, + "loss": 0.9909, + "step": 4926 + }, + { + "epoch": 0.95, + "learning_rate": 1.4024761046611213e-07, + "loss": 0.9676, + "step": 4927 + }, + { + "epoch": 0.95, + "learning_rate": 1.3920923704855648e-07, + "loss": 0.9124, + "step": 4928 + }, + { + "epoch": 0.95, + "learning_rate": 1.3817469496842596e-07, + "loss": 0.8479, + "step": 4929 + }, + { + "epoch": 0.95, + "learning_rate": 1.3714398462768563e-07, + "loss": 0.9702, + "step": 4930 + }, + { + "epoch": 0.95, + "learning_rate": 1.3611710642681076e-07, + "loss": 0.9391, + "step": 4931 + }, + { + "epoch": 0.95, + "learning_rate": 1.350940607647866e-07, + "loss": 0.9248, + "step": 4932 + }, + { + "epoch": 0.95, + "learning_rate": 1.3407484803910854e-07, + "loss": 0.8935, + "step": 4933 + }, + { + "epoch": 0.95, + "learning_rate": 1.3305946864578645e-07, + "loss": 0.9109, + "step": 4934 + }, + { + "epoch": 0.95, + "learning_rate": 1.320479229793359e-07, + "loss": 1.0203, + "step": 4935 + }, + { + "epoch": 0.95, + "learning_rate": 1.3104021143278911e-07, + "loss": 0.8882, + "step": 4936 + }, + { + "epoch": 0.95, + "learning_rate": 1.3003633439768182e-07, + "loss": 0.8389, + "step": 4937 + }, + { + "epoch": 0.95, + "learning_rate": 1.2903629226406423e-07, + "loss": 0.9027, + "step": 4938 + }, + { + "epoch": 0.95, + "learning_rate": 1.280400854204944e-07, + "loss": 0.9287, + "step": 4939 + }, + { + "epoch": 0.95, + "learning_rate": 1.2704771425404382e-07, + "loss": 0.8977, + "step": 4940 + }, + { + "epoch": 0.95, + "learning_rate": 1.2605917915028743e-07, + "loss": 0.8863, + "step": 4941 + }, + { + "epoch": 0.95, + "learning_rate": 1.2507448049331571e-07, + "loss": 0.9296, + "step": 4942 + }, + { + "epoch": 0.95, + "learning_rate": 1.24093618665726e-07, + "loss": 0.9402, + "step": 4943 + }, + { + "epoch": 0.95, + "learning_rate": 1.231165940486234e-07, + "loss": 0.9042, + "step": 4944 + }, + { + "epoch": 0.95, + "learning_rate": 1.221434070216243e-07, + "loss": 0.9209, + "step": 4945 + }, + { + "epoch": 0.95, + "learning_rate": 1.2117405796285286e-07, + "loss": 0.9034, + "step": 4946 + }, + { + "epoch": 0.95, + "learning_rate": 1.2020854724894448e-07, + "loss": 0.8475, + "step": 4947 + }, + { + "epoch": 0.95, + "learning_rate": 1.192468752550402e-07, + "loss": 0.91, + "step": 4948 + }, + { + "epoch": 0.95, + "learning_rate": 1.1828904235478888e-07, + "loss": 0.9162, + "step": 4949 + }, + { + "epoch": 0.95, + "learning_rate": 1.1733504892035064e-07, + "loss": 0.9416, + "step": 4950 + }, + { + "epoch": 0.95, + "learning_rate": 1.1638489532239339e-07, + "loss": 0.9653, + "step": 4951 + }, + { + "epoch": 0.95, + "learning_rate": 1.1543858193009183e-07, + "loss": 0.9091, + "step": 4952 + }, + { + "epoch": 0.95, + "learning_rate": 1.1449610911112741e-07, + "loss": 0.9496, + "step": 4953 + }, + { + "epoch": 0.95, + "learning_rate": 1.1355747723169386e-07, + "loss": 0.9202, + "step": 4954 + }, + { + "epoch": 0.95, + "learning_rate": 1.1262268665648724e-07, + "loss": 0.9433, + "step": 4955 + }, + { + "epoch": 0.95, + "learning_rate": 1.1169173774871478e-07, + "loss": 0.9489, + "step": 4956 + }, + { + "epoch": 0.95, + "learning_rate": 1.1076463087008938e-07, + "loss": 0.9351, + "step": 4957 + }, + { + "epoch": 0.95, + "learning_rate": 1.0984136638083176e-07, + "loss": 0.9518, + "step": 4958 + }, + { + "epoch": 0.95, + "learning_rate": 1.0892194463966943e-07, + "loss": 0.8183, + "step": 4959 + }, + { + "epoch": 0.95, + "learning_rate": 1.0800636600383662e-07, + "loss": 0.8218, + "step": 4960 + }, + { + "epoch": 0.95, + "learning_rate": 1.0709463082907545e-07, + "loss": 0.9332, + "step": 4961 + }, + { + "epoch": 0.95, + "learning_rate": 1.0618673946963365e-07, + "loss": 0.8552, + "step": 4962 + }, + { + "epoch": 0.96, + "learning_rate": 1.052826922782646e-07, + "loss": 0.897, + "step": 4963 + }, + { + "epoch": 0.96, + "learning_rate": 1.0438248960623065e-07, + "loss": 0.9703, + "step": 4964 + }, + { + "epoch": 0.96, + "learning_rate": 1.0348613180329758e-07, + "loss": 0.9112, + "step": 4965 + }, + { + "epoch": 0.96, + "learning_rate": 1.0259361921774014e-07, + "loss": 0.9237, + "step": 4966 + }, + { + "epoch": 0.96, + "learning_rate": 1.0170495219633647e-07, + "loss": 0.8461, + "step": 4967 + }, + { + "epoch": 0.96, + "learning_rate": 1.0082013108437038e-07, + "loss": 1.0421, + "step": 4968 + }, + { + "epoch": 0.96, + "learning_rate": 9.993915622563578e-08, + "loss": 0.8994, + "step": 4969 + }, + { + "epoch": 0.96, + "learning_rate": 9.906202796242547e-08, + "loss": 0.966, + "step": 4970 + }, + { + "epoch": 0.96, + "learning_rate": 9.818874663554356e-08, + "loss": 0.9709, + "step": 4971 + }, + { + "epoch": 0.96, + "learning_rate": 9.731931258429638e-08, + "loss": 0.9874, + "step": 4972 + }, + { + "epoch": 0.96, + "learning_rate": 9.645372614649595e-08, + "loss": 0.8765, + "step": 4973 + }, + { + "epoch": 0.96, + "learning_rate": 9.55919876584599e-08, + "loss": 0.9846, + "step": 4974 + }, + { + "epoch": 0.96, + "learning_rate": 9.473409745500928e-08, + "loss": 0.9737, + "step": 4975 + }, + { + "epoch": 0.96, + "learning_rate": 9.388005586947191e-08, + "loss": 0.9856, + "step": 4976 + }, + { + "epoch": 0.96, + "learning_rate": 9.302986323368012e-08, + "loss": 0.9613, + "step": 4977 + }, + { + "epoch": 0.96, + "learning_rate": 9.218351987796859e-08, + "loss": 0.9767, + "step": 4978 + }, + { + "epoch": 0.96, + "learning_rate": 9.134102613117757e-08, + "loss": 0.8483, + "step": 4979 + }, + { + "epoch": 0.96, + "learning_rate": 9.0502382320653e-08, + "loss": 0.8549, + "step": 4980 + }, + { + "epoch": 0.96, + "learning_rate": 8.966758877224202e-08, + "loss": 1.0377, + "step": 4981 + }, + { + "epoch": 0.96, + "learning_rate": 8.88366458102996e-08, + "loss": 0.9528, + "step": 4982 + }, + { + "epoch": 0.96, + "learning_rate": 8.800955375768194e-08, + "loss": 0.9625, + "step": 4983 + }, + { + "epoch": 0.96, + "learning_rate": 8.718631293574753e-08, + "loss": 0.8832, + "step": 4984 + }, + { + "epoch": 0.96, + "learning_rate": 8.636692366436383e-08, + "loss": 1.0046, + "step": 4985 + }, + { + "epoch": 0.96, + "learning_rate": 8.555138626189619e-08, + "loss": 0.8982, + "step": 4986 + }, + { + "epoch": 0.96, + "learning_rate": 8.473970104521556e-08, + "loss": 0.959, + "step": 4987 + }, + { + "epoch": 0.96, + "learning_rate": 8.393186832969746e-08, + "loss": 0.8599, + "step": 4988 + }, + { + "epoch": 0.96, + "learning_rate": 8.31278884292186e-08, + "loss": 0.9267, + "step": 4989 + }, + { + "epoch": 0.96, + "learning_rate": 8.232776165616019e-08, + "loss": 0.9368, + "step": 4990 + }, + { + "epoch": 0.96, + "learning_rate": 8.153148832140467e-08, + "loss": 0.9371, + "step": 4991 + }, + { + "epoch": 0.96, + "learning_rate": 8.07390687343379e-08, + "loss": 0.8876, + "step": 4992 + }, + { + "epoch": 0.96, + "learning_rate": 7.995050320285025e-08, + "loss": 0.8815, + "step": 4993 + }, + { + "epoch": 0.96, + "learning_rate": 7.916579203333107e-08, + "loss": 0.9341, + "step": 4994 + }, + { + "epoch": 0.96, + "learning_rate": 7.838493553067539e-08, + "loss": 0.9286, + "step": 4995 + }, + { + "epoch": 0.96, + "learning_rate": 7.760793399827937e-08, + "loss": 0.9584, + "step": 4996 + }, + { + "epoch": 0.96, + "learning_rate": 7.683478773804043e-08, + "loss": 0.8676, + "step": 4997 + }, + { + "epoch": 0.96, + "learning_rate": 7.606549705035937e-08, + "loss": 0.9054, + "step": 4998 + }, + { + "epoch": 0.96, + "learning_rate": 7.53000622341371e-08, + "loss": 0.8913, + "step": 4999 + }, + { + "epoch": 0.96, + "learning_rate": 7.453848358678018e-08, + "loss": 0.9812, + "step": 5000 + }, + { + "epoch": 0.96, + "learning_rate": 7.378076140419188e-08, + "loss": 0.9194, + "step": 5001 + }, + { + "epoch": 0.96, + "learning_rate": 7.302689598078117e-08, + "loss": 0.9006, + "step": 5002 + }, + { + "epoch": 0.96, + "learning_rate": 7.227688760945595e-08, + "loss": 0.9564, + "step": 5003 + }, + { + "epoch": 0.96, + "learning_rate": 7.153073658162646e-08, + "loss": 0.8739, + "step": 5004 + }, + { + "epoch": 0.96, + "learning_rate": 7.078844318720523e-08, + "loss": 0.8909, + "step": 5005 + }, + { + "epoch": 0.96, + "learning_rate": 7.00500077146038e-08, + "loss": 0.9441, + "step": 5006 + }, + { + "epoch": 0.96, + "learning_rate": 6.931543045073708e-08, + "loss": 0.8774, + "step": 5007 + }, + { + "epoch": 0.96, + "learning_rate": 6.858471168101788e-08, + "loss": 0.9276, + "step": 5008 + }, + { + "epoch": 0.96, + "learning_rate": 6.785785168936244e-08, + "loss": 1.0311, + "step": 5009 + }, + { + "epoch": 0.96, + "learning_rate": 6.713485075818815e-08, + "loss": 0.9246, + "step": 5010 + }, + { + "epoch": 0.96, + "learning_rate": 6.641570916840923e-08, + "loss": 0.9471, + "step": 5011 + }, + { + "epoch": 0.96, + "learning_rate": 6.570042719944436e-08, + "loss": 0.9947, + "step": 5012 + }, + { + "epoch": 0.96, + "learning_rate": 6.498900512921013e-08, + "loss": 0.8507, + "step": 5013 + }, + { + "epoch": 0.96, + "learning_rate": 6.428144323412544e-08, + "loss": 0.9523, + "step": 5014 + }, + { + "epoch": 0.97, + "learning_rate": 6.357774178910703e-08, + "loss": 0.9265, + "step": 5015 + }, + { + "epoch": 0.97, + "learning_rate": 6.287790106757396e-08, + "loss": 1.0117, + "step": 5016 + }, + { + "epoch": 0.97, + "learning_rate": 6.21819213414443e-08, + "loss": 0.9131, + "step": 5017 + }, + { + "epoch": 0.97, + "learning_rate": 6.148980288113504e-08, + "loss": 0.8798, + "step": 5018 + }, + { + "epoch": 0.97, + "learning_rate": 6.080154595556331e-08, + "loss": 0.9474, + "step": 5019 + }, + { + "epoch": 0.97, + "learning_rate": 6.011715083214742e-08, + "loss": 0.8868, + "step": 5020 + }, + { + "epoch": 0.97, + "learning_rate": 5.943661777680354e-08, + "loss": 0.8914, + "step": 5021 + }, + { + "epoch": 0.97, + "learning_rate": 5.875994705394794e-08, + "loss": 0.8759, + "step": 5022 + }, + { + "epoch": 0.97, + "learning_rate": 5.808713892649587e-08, + "loss": 0.8936, + "step": 5023 + }, + { + "epoch": 0.97, + "learning_rate": 5.7418193655861545e-08, + "loss": 0.9281, + "step": 5024 + }, + { + "epoch": 0.97, + "learning_rate": 5.675311150195928e-08, + "loss": 0.8792, + "step": 5025 + }, + { + "epoch": 0.97, + "learning_rate": 5.609189272320237e-08, + "loss": 0.925, + "step": 5026 + }, + { + "epoch": 0.97, + "learning_rate": 5.5434537576500856e-08, + "loss": 0.9728, + "step": 5027 + }, + { + "epoch": 0.97, + "learning_rate": 5.4781046317267103e-08, + "loss": 0.9476, + "step": 5028 + }, + { + "epoch": 0.97, + "learning_rate": 5.413141919940801e-08, + "loss": 0.8662, + "step": 5029 + }, + { + "epoch": 0.97, + "learning_rate": 5.348565647533388e-08, + "loss": 0.9506, + "step": 5030 + }, + { + "epoch": 0.97, + "learning_rate": 5.284375839594958e-08, + "loss": 0.9425, + "step": 5031 + }, + { + "epoch": 0.97, + "learning_rate": 5.220572521066003e-08, + "loss": 0.9178, + "step": 5032 + }, + { + "epoch": 0.97, + "learning_rate": 5.1571557167369165e-08, + "loss": 0.9087, + "step": 5033 + }, + { + "epoch": 0.97, + "learning_rate": 5.094125451247656e-08, + "loss": 0.9384, + "step": 5034 + }, + { + "epoch": 0.97, + "learning_rate": 5.031481749088296e-08, + "loss": 0.9088, + "step": 5035 + }, + { + "epoch": 0.97, + "learning_rate": 4.9692246345985905e-08, + "loss": 0.9293, + "step": 5036 + }, + { + "epoch": 0.97, + "learning_rate": 4.9073541319680785e-08, + "loss": 0.9126, + "step": 5037 + }, + { + "epoch": 0.97, + "learning_rate": 4.8458702652359744e-08, + "loss": 0.8557, + "step": 5038 + }, + { + "epoch": 0.97, + "learning_rate": 4.784773058291503e-08, + "loss": 0.893, + "step": 5039 + }, + { + "epoch": 0.97, + "learning_rate": 4.7240625348735636e-08, + "loss": 0.992, + "step": 5040 + }, + { + "epoch": 0.97, + "learning_rate": 4.663738718570621e-08, + "loss": 0.9877, + "step": 5041 + }, + { + "epoch": 0.97, + "learning_rate": 4.603801632821148e-08, + "loss": 0.9805, + "step": 5042 + }, + { + "epoch": 0.97, + "learning_rate": 4.544251300913405e-08, + "loss": 0.9474, + "step": 5043 + }, + { + "epoch": 0.97, + "learning_rate": 4.485087745984884e-08, + "loss": 0.8859, + "step": 5044 + }, + { + "epoch": 0.97, + "learning_rate": 4.4263109910234194e-08, + "loss": 0.9355, + "step": 5045 + }, + { + "epoch": 0.97, + "learning_rate": 4.367921058866187e-08, + "loss": 0.9059, + "step": 5046 + }, + { + "epoch": 0.97, + "learning_rate": 4.3099179722002614e-08, + "loss": 1.0582, + "step": 5047 + }, + { + "epoch": 0.97, + "learning_rate": 4.252301753562171e-08, + "loss": 0.8785, + "step": 5048 + }, + { + "epoch": 0.97, + "learning_rate": 4.195072425338342e-08, + "loss": 0.9592, + "step": 5049 + }, + { + "epoch": 0.97, + "learning_rate": 4.1382300097647655e-08, + "loss": 0.9818, + "step": 5050 + }, + { + "epoch": 0.97, + "learning_rate": 4.0817745289272184e-08, + "loss": 1.0154, + "step": 5051 + }, + { + "epoch": 0.97, + "learning_rate": 4.025706004760932e-08, + "loss": 0.8679, + "step": 5052 + }, + { + "epoch": 0.97, + "learning_rate": 3.970024459051147e-08, + "loss": 0.9015, + "step": 5053 + }, + { + "epoch": 0.97, + "learning_rate": 3.914729913432336e-08, + "loss": 0.8859, + "step": 5054 + }, + { + "epoch": 0.97, + "learning_rate": 3.859822389388757e-08, + "loss": 0.9793, + "step": 5055 + }, + { + "epoch": 0.97, + "learning_rate": 3.805301908254455e-08, + "loss": 0.9024, + "step": 5056 + }, + { + "epoch": 0.97, + "learning_rate": 3.751168491212931e-08, + "loss": 0.9214, + "step": 5057 + }, + { + "epoch": 0.97, + "learning_rate": 3.697422159297248e-08, + "loss": 0.9009, + "step": 5058 + }, + { + "epoch": 0.97, + "learning_rate": 3.6440629333901466e-08, + "loss": 1.0038, + "step": 5059 + }, + { + "epoch": 0.97, + "learning_rate": 3.591090834224153e-08, + "loss": 0.9069, + "step": 5060 + }, + { + "epoch": 0.97, + "learning_rate": 3.538505882380916e-08, + "loss": 0.9414, + "step": 5061 + }, + { + "epoch": 0.97, + "learning_rate": 3.4863080982919794e-08, + "loss": 0.9035, + "step": 5062 + }, + { + "epoch": 0.97, + "learning_rate": 3.4344975022385654e-08, + "loss": 0.8584, + "step": 5063 + }, + { + "epoch": 0.97, + "learning_rate": 3.383074114351237e-08, + "loss": 0.9513, + "step": 5064 + }, + { + "epoch": 0.97, + "learning_rate": 3.3320379546101234e-08, + "loss": 0.9587, + "step": 5065 + }, + { + "epoch": 0.97, + "learning_rate": 3.281389042844918e-08, + "loss": 0.8655, + "step": 5066 + }, + { + "epoch": 0.98, + "learning_rate": 3.23112739873499e-08, + "loss": 0.9261, + "step": 5067 + }, + { + "epoch": 0.98, + "learning_rate": 3.181253041809052e-08, + "loss": 0.931, + "step": 5068 + }, + { + "epoch": 0.98, + "learning_rate": 3.13176599144549e-08, + "loss": 0.8409, + "step": 5069 + }, + { + "epoch": 0.98, + "learning_rate": 3.082666266872036e-08, + "loss": 0.9457, + "step": 5070 + }, + { + "epoch": 0.98, + "learning_rate": 3.033953887166097e-08, + "loss": 0.9858, + "step": 5071 + }, + { + "epoch": 0.98, + "learning_rate": 2.9856288712544204e-08, + "loss": 0.9355, + "step": 5072 + }, + { + "epoch": 0.98, + "learning_rate": 2.9376912379134314e-08, + "loss": 0.9355, + "step": 5073 + }, + { + "epoch": 0.98, + "learning_rate": 2.8901410057688982e-08, + "loss": 0.8482, + "step": 5074 + }, + { + "epoch": 0.98, + "learning_rate": 2.842978193296153e-08, + "loss": 0.9177, + "step": 5075 + }, + { + "epoch": 0.98, + "learning_rate": 2.796202818819871e-08, + "loss": 0.9562, + "step": 5076 + }, + { + "epoch": 0.98, + "learning_rate": 2.7498149005144025e-08, + "loss": 0.9014, + "step": 5077 + }, + { + "epoch": 0.98, + "learning_rate": 2.7038144564033307e-08, + "loss": 0.9698, + "step": 5078 + }, + { + "epoch": 0.98, + "learning_rate": 2.658201504359803e-08, + "loss": 0.9537, + "step": 5079 + }, + { + "epoch": 0.98, + "learning_rate": 2.6129760621063095e-08, + "loss": 0.9714, + "step": 5080 + }, + { + "epoch": 0.98, + "learning_rate": 2.5681381472151268e-08, + "loss": 0.9302, + "step": 5081 + }, + { + "epoch": 0.98, + "learning_rate": 2.5236877771074308e-08, + "loss": 0.9142, + "step": 5082 + }, + { + "epoch": 0.98, + "learning_rate": 2.479624969054295e-08, + "loss": 0.8809, + "step": 5083 + }, + { + "epoch": 0.98, + "learning_rate": 2.4359497401758026e-08, + "loss": 0.9211, + "step": 5084 + }, + { + "epoch": 0.98, + "learning_rate": 2.3926621074417123e-08, + "loss": 0.9471, + "step": 5085 + }, + { + "epoch": 0.98, + "learning_rate": 2.349762087671126e-08, + "loss": 0.9058, + "step": 5086 + }, + { + "epoch": 0.98, + "learning_rate": 2.3072496975325986e-08, + "loss": 0.8795, + "step": 5087 + }, + { + "epoch": 0.98, + "learning_rate": 2.265124953543918e-08, + "loss": 0.8609, + "step": 5088 + }, + { + "epoch": 0.98, + "learning_rate": 2.2233878720723245e-08, + "loss": 0.9235, + "step": 5089 + }, + { + "epoch": 0.98, + "learning_rate": 2.182038469334513e-08, + "loss": 1.0053, + "step": 5090 + }, + { + "epoch": 0.98, + "learning_rate": 2.1410767613965212e-08, + "loss": 0.9305, + "step": 5091 + }, + { + "epoch": 0.98, + "learning_rate": 2.1005027641736176e-08, + "loss": 0.8789, + "step": 5092 + }, + { + "epoch": 0.98, + "learning_rate": 2.0603164934306364e-08, + "loss": 0.8554, + "step": 5093 + }, + { + "epoch": 0.98, + "learning_rate": 2.020517964781532e-08, + "loss": 0.9713, + "step": 5094 + }, + { + "epoch": 0.98, + "learning_rate": 1.9811071936897132e-08, + "loss": 0.8239, + "step": 5095 + }, + { + "epoch": 0.98, + "learning_rate": 1.9420841954681525e-08, + "loss": 0.8709, + "step": 5096 + }, + { + "epoch": 0.98, + "learning_rate": 1.903448985278722e-08, + "loss": 0.9479, + "step": 5097 + }, + { + "epoch": 0.98, + "learning_rate": 1.86520157813308e-08, + "loss": 0.9064, + "step": 5098 + }, + { + "epoch": 0.98, + "learning_rate": 1.8273419888916733e-08, + "loss": 0.9701, + "step": 5099 + }, + { + "epoch": 0.98, + "learning_rate": 1.7898702322648453e-08, + "loss": 0.9002, + "step": 5100 + }, + { + "epoch": 0.98, + "learning_rate": 1.7527863228118393e-08, + "loss": 0.9848, + "step": 5101 + }, + { + "epoch": 0.98, + "learning_rate": 1.716090274941351e-08, + "loss": 0.8947, + "step": 5102 + }, + { + "epoch": 0.98, + "learning_rate": 1.6797821029113093e-08, + "loss": 0.9964, + "step": 5103 + }, + { + "epoch": 0.98, + "learning_rate": 1.6438618208290957e-08, + "loss": 0.9295, + "step": 5104 + }, + { + "epoch": 0.98, + "learning_rate": 1.608329442651213e-08, + "loss": 0.9762, + "step": 5105 + }, + { + "epoch": 0.98, + "learning_rate": 1.5731849821833955e-08, + "loss": 0.9347, + "step": 5106 + }, + { + "epoch": 0.98, + "learning_rate": 1.5384284530810533e-08, + "loss": 0.9032, + "step": 5107 + }, + { + "epoch": 0.98, + "learning_rate": 1.5040598688482732e-08, + "loss": 0.9625, + "step": 5108 + }, + { + "epoch": 0.98, + "learning_rate": 1.4700792428388177e-08, + "loss": 0.8386, + "step": 5109 + }, + { + "epoch": 0.98, + "learning_rate": 1.436486588255681e-08, + "loss": 1.0009, + "step": 5110 + }, + { + "epoch": 0.98, + "learning_rate": 1.4032819181509783e-08, + "loss": 0.892, + "step": 5111 + }, + { + "epoch": 0.98, + "learning_rate": 1.370465245426167e-08, + "loss": 0.9088, + "step": 5112 + }, + { + "epoch": 0.98, + "learning_rate": 1.3380365828318254e-08, + "loss": 0.9099, + "step": 5113 + }, + { + "epoch": 0.98, + "learning_rate": 1.3059959429679859e-08, + "loss": 0.973, + "step": 5114 + }, + { + "epoch": 0.98, + "learning_rate": 1.274343338283801e-08, + "loss": 0.8826, + "step": 5115 + }, + { + "epoch": 0.98, + "learning_rate": 1.2430787810776556e-08, + "loss": 1.0029, + "step": 5116 + }, + { + "epoch": 0.98, + "learning_rate": 1.2122022834970548e-08, + "loss": 0.9124, + "step": 5117 + }, + { + "epoch": 0.98, + "learning_rate": 1.1817138575389576e-08, + "loss": 0.9805, + "step": 5118 + }, + { + "epoch": 0.99, + "learning_rate": 1.1516135150493323e-08, + "loss": 0.9333, + "step": 5119 + }, + { + "epoch": 0.99, + "learning_rate": 1.1219012677234908e-08, + "loss": 0.9592, + "step": 5120 + }, + { + "epoch": 0.99, + "learning_rate": 1.0925771271058649e-08, + "loss": 0.9465, + "step": 5121 + }, + { + "epoch": 0.99, + "learning_rate": 1.0636411045902296e-08, + "loss": 0.8547, + "step": 5122 + }, + { + "epoch": 0.99, + "learning_rate": 1.035093211419369e-08, + "loss": 0.8852, + "step": 5123 + }, + { + "epoch": 0.99, + "learning_rate": 1.0069334586854106e-08, + "loss": 1.0034, + "step": 5124 + }, + { + "epoch": 0.99, + "learning_rate": 9.791618573294914e-09, + "loss": 0.9267, + "step": 5125 + }, + { + "epoch": 0.99, + "learning_rate": 9.517784181422018e-09, + "loss": 0.9379, + "step": 5126 + }, + { + "epoch": 0.99, + "learning_rate": 9.247831517632533e-09, + "loss": 0.9108, + "step": 5127 + }, + { + "epoch": 0.99, + "learning_rate": 8.981760686811448e-09, + "loss": 0.9509, + "step": 5128 + }, + { + "epoch": 0.99, + "learning_rate": 8.719571792341618e-09, + "loss": 0.9749, + "step": 5129 + }, + { + "epoch": 0.99, + "learning_rate": 8.461264936093783e-09, + "loss": 0.8767, + "step": 5130 + }, + { + "epoch": 0.99, + "learning_rate": 8.20684021843099e-09, + "loss": 0.9504, + "step": 5131 + }, + { + "epoch": 0.99, + "learning_rate": 7.956297738207496e-09, + "loss": 0.9309, + "step": 5132 + }, + { + "epoch": 0.99, + "learning_rate": 7.70963759277099e-09, + "loss": 0.9862, + "step": 5133 + }, + { + "epoch": 0.99, + "learning_rate": 7.466859877958143e-09, + "loss": 0.8966, + "step": 5134 + }, + { + "epoch": 0.99, + "learning_rate": 7.227964688099054e-09, + "loss": 0.9711, + "step": 5135 + }, + { + "epoch": 0.99, + "learning_rate": 6.992952116013918e-09, + "loss": 0.9449, + "step": 5136 + }, + { + "epoch": 0.99, + "learning_rate": 6.76182225301747e-09, + "loss": 0.8971, + "step": 5137 + }, + { + "epoch": 0.99, + "learning_rate": 6.534575188911208e-09, + "loss": 0.9516, + "step": 5138 + }, + { + "epoch": 0.99, + "learning_rate": 6.3112110119900596e-09, + "loss": 0.9361, + "step": 5139 + }, + { + "epoch": 0.99, + "learning_rate": 6.091729809042379e-09, + "loss": 0.9033, + "step": 5140 + }, + { + "epoch": 0.99, + "learning_rate": 5.876131665345508e-09, + "loss": 0.904, + "step": 5141 + }, + { + "epoch": 0.99, + "learning_rate": 5.664416664666883e-09, + "loss": 0.9166, + "step": 5142 + }, + { + "epoch": 0.99, + "learning_rate": 5.4565848892695894e-09, + "loss": 0.9111, + "step": 5143 + }, + { + "epoch": 0.99, + "learning_rate": 5.252636419902368e-09, + "loss": 0.9165, + "step": 5144 + }, + { + "epoch": 0.99, + "learning_rate": 5.052571335808499e-09, + "loss": 0.9152, + "step": 5145 + }, + { + "epoch": 0.99, + "learning_rate": 4.856389714723575e-09, + "loss": 0.9295, + "step": 5146 + }, + { + "epoch": 0.99, + "learning_rate": 4.6640916328710705e-09, + "loss": 1.0354, + "step": 5147 + }, + { + "epoch": 0.99, + "learning_rate": 4.475677164966774e-09, + "loss": 0.9081, + "step": 5148 + }, + { + "epoch": 0.99, + "learning_rate": 4.2911463842176815e-09, + "loss": 0.9339, + "step": 5149 + }, + { + "epoch": 0.99, + "learning_rate": 4.110499362323106e-09, + "loss": 0.9368, + "step": 5150 + }, + { + "epoch": 0.99, + "learning_rate": 3.933736169471347e-09, + "loss": 0.9391, + "step": 5151 + }, + { + "epoch": 0.99, + "learning_rate": 3.760856874341912e-09, + "loss": 0.9039, + "step": 5152 + }, + { + "epoch": 0.99, + "learning_rate": 3.591861544106623e-09, + "loss": 0.9591, + "step": 5153 + }, + { + "epoch": 0.99, + "learning_rate": 3.4267502444274013e-09, + "loss": 0.9305, + "step": 5154 + }, + { + "epoch": 0.99, + "learning_rate": 3.2655230394562644e-09, + "loss": 0.8903, + "step": 5155 + }, + { + "epoch": 0.99, + "learning_rate": 3.1081799918375454e-09, + "loss": 0.9431, + "step": 5156 + }, + { + "epoch": 0.99, + "learning_rate": 2.954721162704566e-09, + "loss": 0.9655, + "step": 5157 + }, + { + "epoch": 0.99, + "learning_rate": 2.805146611684073e-09, + "loss": 0.8658, + "step": 5158 + }, + { + "epoch": 0.99, + "learning_rate": 2.6594563968918018e-09, + "loss": 0.9232, + "step": 5159 + }, + { + "epoch": 0.99, + "learning_rate": 2.5176505749346937e-09, + "loss": 0.9025, + "step": 5160 + }, + { + "epoch": 0.99, + "learning_rate": 2.379729200908676e-09, + "loss": 0.968, + "step": 5161 + }, + { + "epoch": 0.99, + "learning_rate": 2.245692328404214e-09, + "loss": 0.907, + "step": 5162 + }, + { + "epoch": 0.99, + "learning_rate": 2.11554000949965e-09, + "loss": 0.9545, + "step": 5163 + }, + { + "epoch": 0.99, + "learning_rate": 1.9892722947645328e-09, + "loss": 0.9392, + "step": 5164 + }, + { + "epoch": 0.99, + "learning_rate": 1.8668892332596165e-09, + "loss": 0.8784, + "step": 5165 + }, + { + "epoch": 0.99, + "learning_rate": 1.7483908725357546e-09, + "loss": 0.9667, + "step": 5166 + }, + { + "epoch": 0.99, + "learning_rate": 1.6337772586338952e-09, + "loss": 0.9733, + "step": 5167 + }, + { + "epoch": 0.99, + "learning_rate": 1.5230484360873043e-09, + "loss": 1.0007, + "step": 5168 + }, + { + "epoch": 0.99, + "learning_rate": 1.4162044479182347e-09, + "loss": 0.944, + "step": 5169 + }, + { + "epoch": 0.99, + "learning_rate": 1.3132453356412556e-09, + "loss": 0.8991, + "step": 5170 + }, + { + "epoch": 1.0, + "learning_rate": 1.214171139258813e-09, + "loss": 0.9029, + "step": 5171 + }, + { + "epoch": 1.0, + "learning_rate": 1.1189818972656697e-09, + "loss": 0.888, + "step": 5172 + }, + { + "epoch": 1.0, + "learning_rate": 1.0276776466477955e-09, + "loss": 0.9314, + "step": 5173 + }, + { + "epoch": 1.0, + "learning_rate": 9.40258422880147e-10, + "loss": 0.9013, + "step": 5174 + }, + { + "epoch": 1.0, + "learning_rate": 8.567242599299974e-10, + "loss": 0.9331, + "step": 5175 + }, + { + "epoch": 1.0, + "learning_rate": 7.770751902513862e-10, + "loss": 0.8875, + "step": 5176 + }, + { + "epoch": 1.0, + "learning_rate": 7.013112447940007e-10, + "loss": 0.9281, + "step": 5177 + }, + { + "epoch": 1.0, + "learning_rate": 6.294324529942942e-10, + "loss": 0.9293, + "step": 5178 + }, + { + "epoch": 1.0, + "learning_rate": 5.614388427799266e-10, + "loss": 0.9309, + "step": 5179 + }, + { + "epoch": 1.0, + "learning_rate": 4.973304405697654e-10, + "loss": 0.8261, + "step": 5180 + }, + { + "epoch": 1.0, + "learning_rate": 4.3710727127277417e-10, + "loss": 0.9135, + "step": 5181 + }, + { + "epoch": 1.0, + "learning_rate": 3.807693582869032e-10, + "loss": 0.9055, + "step": 5182 + }, + { + "epoch": 1.0, + "learning_rate": 3.283167235035301e-10, + "loss": 0.8773, + "step": 5183 + }, + { + "epoch": 1.0, + "learning_rate": 2.797493873019086e-10, + "loss": 0.9637, + "step": 5184 + }, + { + "epoch": 1.0, + "learning_rate": 2.350673685536098e-10, + "loss": 0.8724, + "step": 5185 + }, + { + "epoch": 1.0, + "learning_rate": 1.9427068461808086e-10, + "loss": 0.8986, + "step": 5186 + }, + { + "epoch": 1.0, + "learning_rate": 1.5735935134708613e-10, + "loss": 0.9805, + "step": 5187 + }, + { + "epoch": 1.0, + "learning_rate": 1.2433338308137645e-10, + "loss": 0.8798, + "step": 5188 + }, + { + "epoch": 1.0, + "learning_rate": 9.519279265512993e-11, + "loss": 0.9362, + "step": 5189 + }, + { + "epoch": 1.0, + "learning_rate": 6.99375913892908e-11, + "loss": 0.9249, + "step": 5190 + }, + { + "epoch": 1.0, + "learning_rate": 4.856778909601012e-11, + "loss": 0.9278, + "step": 5191 + }, + { + "epoch": 1.0, + "learning_rate": 3.108339407975613e-11, + "loss": 0.9221, + "step": 5192 + }, + { + "epoch": 1.0, + "learning_rate": 1.74844131328733e-11, + "loss": 0.91, + "step": 5193 + }, + { + "epoch": 1.0, + "learning_rate": 7.770851538912993e-12, + "loss": 0.9206, + "step": 5194 + }, + { + "epoch": 1.0, + "learning_rate": 1.9427130737437183e-12, + "loss": 0.9055, + "step": 5195 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 0.9741, + "step": 5196 + }, + { + "epoch": 1.0, + "step": 5196, + "total_flos": 4491665944477696.0, + "train_loss": 0.9799499570107442, + "train_runtime": 13920.9568, + "train_samples_per_second": 47.774, + "train_steps_per_second": 0.373 + } + ], + "logging_steps": 1.0, + "max_steps": 5196, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 5000, + "total_flos": 4491665944477696.0, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +}