diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,9045 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.8666137069401314, + "eval_steps": 500, + "global_step": 1500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 6.41025641025641e-08, + "loss": 2.943, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 1.282051282051282e-07, + "loss": 2.9886, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 1.9230769230769234e-07, + "loss": 2.9708, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 2.564102564102564e-07, + "loss": 3.0867, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 3.205128205128205e-07, + "loss": 3.1046, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 3.846153846153847e-07, + "loss": 3.106, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 4.4871794871794876e-07, + "loss": 3.1017, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 5.128205128205128e-07, + "loss": 2.8961, + "step": 8 + }, + { + "epoch": 0.01, + "learning_rate": 5.76923076923077e-07, + "loss": 2.944, + "step": 9 + }, + { + "epoch": 0.01, + "learning_rate": 6.41025641025641e-07, + "loss": 2.9741, + "step": 10 + }, + { + "epoch": 0.01, + "learning_rate": 7.051282051282052e-07, + "loss": 2.9144, + "step": 11 + }, + { + "epoch": 0.01, + "learning_rate": 7.692307692307694e-07, + "loss": 2.7468, + "step": 12 + }, + { + "epoch": 0.01, + "learning_rate": 8.333333333333333e-07, + "loss": 2.7316, + "step": 13 + }, + { + "epoch": 0.01, + "learning_rate": 8.974358974358975e-07, + "loss": 2.8715, + "step": 14 + }, + { + "epoch": 0.01, + "learning_rate": 9.615384615384617e-07, + "loss": 2.6562, + "step": 15 + }, + { + "epoch": 0.01, + "learning_rate": 1.0256410256410257e-06, + "loss": 2.4969, + "step": 16 + }, + { + "epoch": 0.01, + "learning_rate": 1.0897435897435899e-06, + "loss": 2.5151, + "step": 17 + }, + { + "epoch": 0.01, + "learning_rate": 1.153846153846154e-06, + "loss": 2.2567, + "step": 18 + }, + { + "epoch": 0.01, + "learning_rate": 1.217948717948718e-06, + "loss": 2.2057, + "step": 19 + }, + { + "epoch": 0.01, + "learning_rate": 1.282051282051282e-06, + "loss": 2.2083, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 1.3461538461538462e-06, + "loss": 2.0459, + "step": 21 + }, + { + "epoch": 0.01, + "learning_rate": 1.4102564102564104e-06, + "loss": 2.0801, + "step": 22 + }, + { + "epoch": 0.01, + "learning_rate": 1.4743589743589745e-06, + "loss": 2.1923, + "step": 23 + }, + { + "epoch": 0.01, + "learning_rate": 1.5384615384615387e-06, + "loss": 1.8564, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 1.602564102564103e-06, + "loss": 1.7679, + "step": 25 + }, + { + "epoch": 0.02, + "learning_rate": 1.6666666666666667e-06, + "loss": 1.9021, + "step": 26 + }, + { + "epoch": 0.02, + "learning_rate": 1.7307692307692308e-06, + "loss": 1.5449, + "step": 27 + }, + { + "epoch": 0.02, + "learning_rate": 1.794871794871795e-06, + "loss": 1.6172, + "step": 28 + }, + { + "epoch": 0.02, + "learning_rate": 1.8589743589743592e-06, + "loss": 1.7403, + "step": 29 + }, + { + "epoch": 0.02, + "learning_rate": 1.9230769230769234e-06, + "loss": 1.784, + "step": 30 + }, + { + "epoch": 0.02, + "learning_rate": 1.987179487179487e-06, + "loss": 1.6549, + "step": 31 + }, + { + "epoch": 0.02, + "learning_rate": 2.0512820512820513e-06, + "loss": 1.6599, + "step": 32 + }, + { + "epoch": 0.02, + "learning_rate": 2.1153846153846155e-06, + "loss": 1.5515, + "step": 33 + }, + { + "epoch": 0.02, + "learning_rate": 2.1794871794871797e-06, + "loss": 1.4204, + "step": 34 + }, + { + "epoch": 0.02, + "learning_rate": 2.243589743589744e-06, + "loss": 1.7113, + "step": 35 + }, + { + "epoch": 0.02, + "learning_rate": 2.307692307692308e-06, + "loss": 1.4683, + "step": 36 + }, + { + "epoch": 0.02, + "learning_rate": 2.371794871794872e-06, + "loss": 1.4036, + "step": 37 + }, + { + "epoch": 0.02, + "learning_rate": 2.435897435897436e-06, + "loss": 1.3254, + "step": 38 + }, + { + "epoch": 0.02, + "learning_rate": 2.5e-06, + "loss": 1.4671, + "step": 39 + }, + { + "epoch": 0.02, + "learning_rate": 2.564102564102564e-06, + "loss": 1.4896, + "step": 40 + }, + { + "epoch": 0.02, + "learning_rate": 2.6282051282051286e-06, + "loss": 1.494, + "step": 41 + }, + { + "epoch": 0.02, + "learning_rate": 2.6923076923076923e-06, + "loss": 1.4019, + "step": 42 + }, + { + "epoch": 0.02, + "learning_rate": 2.756410256410257e-06, + "loss": 1.4106, + "step": 43 + }, + { + "epoch": 0.03, + "learning_rate": 2.8205128205128207e-06, + "loss": 1.4735, + "step": 44 + }, + { + "epoch": 0.03, + "learning_rate": 2.8846153846153845e-06, + "loss": 1.3197, + "step": 45 + }, + { + "epoch": 0.03, + "learning_rate": 2.948717948717949e-06, + "loss": 1.2935, + "step": 46 + }, + { + "epoch": 0.03, + "learning_rate": 3.012820512820513e-06, + "loss": 1.4421, + "step": 47 + }, + { + "epoch": 0.03, + "learning_rate": 3.0769230769230774e-06, + "loss": 1.2434, + "step": 48 + }, + { + "epoch": 0.03, + "learning_rate": 3.141025641025641e-06, + "loss": 1.4088, + "step": 49 + }, + { + "epoch": 0.03, + "learning_rate": 3.205128205128206e-06, + "loss": 1.2168, + "step": 50 + }, + { + "epoch": 0.03, + "learning_rate": 3.2692307692307696e-06, + "loss": 1.2435, + "step": 51 + }, + { + "epoch": 0.03, + "learning_rate": 3.3333333333333333e-06, + "loss": 1.3046, + "step": 52 + }, + { + "epoch": 0.03, + "learning_rate": 3.397435897435898e-06, + "loss": 1.3269, + "step": 53 + }, + { + "epoch": 0.03, + "learning_rate": 3.4615384615384617e-06, + "loss": 1.1985, + "step": 54 + }, + { + "epoch": 0.03, + "learning_rate": 3.5256410256410263e-06, + "loss": 1.4245, + "step": 55 + }, + { + "epoch": 0.03, + "learning_rate": 3.58974358974359e-06, + "loss": 1.2026, + "step": 56 + }, + { + "epoch": 0.03, + "learning_rate": 3.653846153846154e-06, + "loss": 1.3379, + "step": 57 + }, + { + "epoch": 0.03, + "learning_rate": 3.7179487179487184e-06, + "loss": 1.2775, + "step": 58 + }, + { + "epoch": 0.03, + "learning_rate": 3.782051282051282e-06, + "loss": 1.24, + "step": 59 + }, + { + "epoch": 0.03, + "learning_rate": 3.846153846153847e-06, + "loss": 1.4219, + "step": 60 + }, + { + "epoch": 0.04, + "learning_rate": 3.910256410256411e-06, + "loss": 1.2447, + "step": 61 + }, + { + "epoch": 0.04, + "learning_rate": 3.974358974358974e-06, + "loss": 1.1747, + "step": 62 + }, + { + "epoch": 0.04, + "learning_rate": 4.0384615384615385e-06, + "loss": 1.0573, + "step": 63 + }, + { + "epoch": 0.04, + "learning_rate": 4.102564102564103e-06, + "loss": 1.4768, + "step": 64 + }, + { + "epoch": 0.04, + "learning_rate": 4.166666666666667e-06, + "loss": 1.2404, + "step": 65 + }, + { + "epoch": 0.04, + "learning_rate": 4.230769230769231e-06, + "loss": 1.1661, + "step": 66 + }, + { + "epoch": 0.04, + "learning_rate": 4.294871794871795e-06, + "loss": 1.038, + "step": 67 + }, + { + "epoch": 0.04, + "learning_rate": 4.358974358974359e-06, + "loss": 1.2422, + "step": 68 + }, + { + "epoch": 0.04, + "learning_rate": 4.423076923076924e-06, + "loss": 1.1458, + "step": 69 + }, + { + "epoch": 0.04, + "learning_rate": 4.487179487179488e-06, + "loss": 1.0668, + "step": 70 + }, + { + "epoch": 0.04, + "learning_rate": 4.551282051282052e-06, + "loss": 1.1216, + "step": 71 + }, + { + "epoch": 0.04, + "learning_rate": 4.615384615384616e-06, + "loss": 1.1612, + "step": 72 + }, + { + "epoch": 0.04, + "learning_rate": 4.6794871794871795e-06, + "loss": 1.2188, + "step": 73 + }, + { + "epoch": 0.04, + "learning_rate": 4.743589743589744e-06, + "loss": 1.3238, + "step": 74 + }, + { + "epoch": 0.04, + "learning_rate": 4.807692307692308e-06, + "loss": 1.3555, + "step": 75 + }, + { + "epoch": 0.04, + "learning_rate": 4.871794871794872e-06, + "loss": 1.2149, + "step": 76 + }, + { + "epoch": 0.04, + "learning_rate": 4.935897435897436e-06, + "loss": 1.0732, + "step": 77 + }, + { + "epoch": 0.05, + "learning_rate": 5e-06, + "loss": 1.1334, + "step": 78 + }, + { + "epoch": 0.05, + "learning_rate": 5.064102564102565e-06, + "loss": 1.3419, + "step": 79 + }, + { + "epoch": 0.05, + "learning_rate": 5.128205128205128e-06, + "loss": 1.0512, + "step": 80 + }, + { + "epoch": 0.05, + "learning_rate": 5.192307692307693e-06, + "loss": 1.3568, + "step": 81 + }, + { + "epoch": 0.05, + "learning_rate": 5.256410256410257e-06, + "loss": 1.1892, + "step": 82 + }, + { + "epoch": 0.05, + "learning_rate": 5.320512820512821e-06, + "loss": 1.2229, + "step": 83 + }, + { + "epoch": 0.05, + "learning_rate": 5.384615384615385e-06, + "loss": 1.1141, + "step": 84 + }, + { + "epoch": 0.05, + "learning_rate": 5.448717948717949e-06, + "loss": 1.1641, + "step": 85 + }, + { + "epoch": 0.05, + "learning_rate": 5.512820512820514e-06, + "loss": 1.213, + "step": 86 + }, + { + "epoch": 0.05, + "learning_rate": 5.576923076923077e-06, + "loss": 1.2778, + "step": 87 + }, + { + "epoch": 0.05, + "learning_rate": 5.641025641025641e-06, + "loss": 1.2092, + "step": 88 + }, + { + "epoch": 0.05, + "learning_rate": 5.705128205128206e-06, + "loss": 1.2763, + "step": 89 + }, + { + "epoch": 0.05, + "learning_rate": 5.769230769230769e-06, + "loss": 1.1595, + "step": 90 + }, + { + "epoch": 0.05, + "learning_rate": 5.833333333333334e-06, + "loss": 1.2018, + "step": 91 + }, + { + "epoch": 0.05, + "learning_rate": 5.897435897435898e-06, + "loss": 1.2114, + "step": 92 + }, + { + "epoch": 0.05, + "learning_rate": 5.961538461538462e-06, + "loss": 1.4324, + "step": 93 + }, + { + "epoch": 0.05, + "learning_rate": 6.025641025641026e-06, + "loss": 1.2207, + "step": 94 + }, + { + "epoch": 0.05, + "learning_rate": 6.08974358974359e-06, + "loss": 1.2855, + "step": 95 + }, + { + "epoch": 0.06, + "learning_rate": 6.153846153846155e-06, + "loss": 1.0656, + "step": 96 + }, + { + "epoch": 0.06, + "learning_rate": 6.217948717948718e-06, + "loss": 1.2124, + "step": 97 + }, + { + "epoch": 0.06, + "learning_rate": 6.282051282051282e-06, + "loss": 1.2272, + "step": 98 + }, + { + "epoch": 0.06, + "learning_rate": 6.3461538461538466e-06, + "loss": 1.1834, + "step": 99 + }, + { + "epoch": 0.06, + "learning_rate": 6.410256410256412e-06, + "loss": 1.2152, + "step": 100 + }, + { + "epoch": 0.06, + "learning_rate": 6.474358974358975e-06, + "loss": 1.1499, + "step": 101 + }, + { + "epoch": 0.06, + "learning_rate": 6.538461538461539e-06, + "loss": 1.0663, + "step": 102 + }, + { + "epoch": 0.06, + "learning_rate": 6.602564102564103e-06, + "loss": 1.1776, + "step": 103 + }, + { + "epoch": 0.06, + "learning_rate": 6.666666666666667e-06, + "loss": 1.1595, + "step": 104 + }, + { + "epoch": 0.06, + "learning_rate": 6.730769230769232e-06, + "loss": 1.0708, + "step": 105 + }, + { + "epoch": 0.06, + "learning_rate": 6.794871794871796e-06, + "loss": 1.0552, + "step": 106 + }, + { + "epoch": 0.06, + "learning_rate": 6.858974358974359e-06, + "loss": 1.1106, + "step": 107 + }, + { + "epoch": 0.06, + "learning_rate": 6.923076923076923e-06, + "loss": 1.1568, + "step": 108 + }, + { + "epoch": 0.06, + "learning_rate": 6.9871794871794876e-06, + "loss": 1.1169, + "step": 109 + }, + { + "epoch": 0.06, + "learning_rate": 7.051282051282053e-06, + "loss": 1.2895, + "step": 110 + }, + { + "epoch": 0.06, + "learning_rate": 7.115384615384616e-06, + "loss": 1.0976, + "step": 111 + }, + { + "epoch": 0.06, + "learning_rate": 7.17948717948718e-06, + "loss": 1.2333, + "step": 112 + }, + { + "epoch": 0.07, + "learning_rate": 7.243589743589744e-06, + "loss": 1.0838, + "step": 113 + }, + { + "epoch": 0.07, + "learning_rate": 7.307692307692308e-06, + "loss": 1.145, + "step": 114 + }, + { + "epoch": 0.07, + "learning_rate": 7.371794871794873e-06, + "loss": 1.2185, + "step": 115 + }, + { + "epoch": 0.07, + "learning_rate": 7.435897435897437e-06, + "loss": 0.9915, + "step": 116 + }, + { + "epoch": 0.07, + "learning_rate": 7.500000000000001e-06, + "loss": 1.1835, + "step": 117 + }, + { + "epoch": 0.07, + "learning_rate": 7.564102564102564e-06, + "loss": 0.9148, + "step": 118 + }, + { + "epoch": 0.07, + "learning_rate": 7.6282051282051286e-06, + "loss": 0.9414, + "step": 119 + }, + { + "epoch": 0.07, + "learning_rate": 7.692307692307694e-06, + "loss": 1.0405, + "step": 120 + }, + { + "epoch": 0.07, + "learning_rate": 7.756410256410258e-06, + "loss": 1.1872, + "step": 121 + }, + { + "epoch": 0.07, + "learning_rate": 7.820512820512822e-06, + "loss": 1.2754, + "step": 122 + }, + { + "epoch": 0.07, + "learning_rate": 7.884615384615384e-06, + "loss": 1.2621, + "step": 123 + }, + { + "epoch": 0.07, + "learning_rate": 7.948717948717949e-06, + "loss": 1.2202, + "step": 124 + }, + { + "epoch": 0.07, + "learning_rate": 8.012820512820515e-06, + "loss": 1.0307, + "step": 125 + }, + { + "epoch": 0.07, + "learning_rate": 8.076923076923077e-06, + "loss": 1.0905, + "step": 126 + }, + { + "epoch": 0.07, + "learning_rate": 8.141025641025641e-06, + "loss": 1.0909, + "step": 127 + }, + { + "epoch": 0.07, + "learning_rate": 8.205128205128205e-06, + "loss": 1.1095, + "step": 128 + }, + { + "epoch": 0.07, + "learning_rate": 8.26923076923077e-06, + "loss": 1.1643, + "step": 129 + }, + { + "epoch": 0.08, + "learning_rate": 8.333333333333334e-06, + "loss": 1.1046, + "step": 130 + }, + { + "epoch": 0.08, + "learning_rate": 8.397435897435898e-06, + "loss": 1.141, + "step": 131 + }, + { + "epoch": 0.08, + "learning_rate": 8.461538461538462e-06, + "loss": 1.1293, + "step": 132 + }, + { + "epoch": 0.08, + "learning_rate": 8.525641025641026e-06, + "loss": 1.3018, + "step": 133 + }, + { + "epoch": 0.08, + "learning_rate": 8.58974358974359e-06, + "loss": 1.0179, + "step": 134 + }, + { + "epoch": 0.08, + "learning_rate": 8.653846153846155e-06, + "loss": 1.0412, + "step": 135 + }, + { + "epoch": 0.08, + "learning_rate": 8.717948717948719e-06, + "loss": 1.0517, + "step": 136 + }, + { + "epoch": 0.08, + "learning_rate": 8.782051282051283e-06, + "loss": 1.1737, + "step": 137 + }, + { + "epoch": 0.08, + "learning_rate": 8.846153846153847e-06, + "loss": 1.1861, + "step": 138 + }, + { + "epoch": 0.08, + "learning_rate": 8.910256410256411e-06, + "loss": 1.1194, + "step": 139 + }, + { + "epoch": 0.08, + "learning_rate": 8.974358974358976e-06, + "loss": 1.1739, + "step": 140 + }, + { + "epoch": 0.08, + "learning_rate": 9.03846153846154e-06, + "loss": 1.0401, + "step": 141 + }, + { + "epoch": 0.08, + "learning_rate": 9.102564102564104e-06, + "loss": 1.0247, + "step": 142 + }, + { + "epoch": 0.08, + "learning_rate": 9.166666666666666e-06, + "loss": 1.2417, + "step": 143 + }, + { + "epoch": 0.08, + "learning_rate": 9.230769230769232e-06, + "loss": 1.2071, + "step": 144 + }, + { + "epoch": 0.08, + "learning_rate": 9.294871794871796e-06, + "loss": 1.0726, + "step": 145 + }, + { + "epoch": 0.08, + "learning_rate": 9.358974358974359e-06, + "loss": 1.1414, + "step": 146 + }, + { + "epoch": 0.08, + "learning_rate": 9.423076923076923e-06, + "loss": 1.1217, + "step": 147 + }, + { + "epoch": 0.09, + "learning_rate": 9.487179487179487e-06, + "loss": 0.9335, + "step": 148 + }, + { + "epoch": 0.09, + "learning_rate": 9.551282051282053e-06, + "loss": 1.0924, + "step": 149 + }, + { + "epoch": 0.09, + "learning_rate": 9.615384615384616e-06, + "loss": 1.2216, + "step": 150 + }, + { + "epoch": 0.09, + "learning_rate": 9.67948717948718e-06, + "loss": 1.1608, + "step": 151 + }, + { + "epoch": 0.09, + "learning_rate": 9.743589743589744e-06, + "loss": 1.2329, + "step": 152 + }, + { + "epoch": 0.09, + "learning_rate": 9.807692307692308e-06, + "loss": 1.1358, + "step": 153 + }, + { + "epoch": 0.09, + "learning_rate": 9.871794871794872e-06, + "loss": 1.1753, + "step": 154 + }, + { + "epoch": 0.09, + "learning_rate": 9.935897435897437e-06, + "loss": 1.0027, + "step": 155 + }, + { + "epoch": 0.09, + "learning_rate": 1e-05, + "loss": 1.1274, + "step": 156 + }, + { + "epoch": 0.09, + "learning_rate": 9.999999026326575e-06, + "loss": 1.2214, + "step": 157 + }, + { + "epoch": 0.09, + "learning_rate": 9.999996105306673e-06, + "loss": 1.1085, + "step": 158 + }, + { + "epoch": 0.09, + "learning_rate": 9.999991236941436e-06, + "loss": 1.2267, + "step": 159 + }, + { + "epoch": 0.09, + "learning_rate": 9.999984421232756e-06, + "loss": 1.0595, + "step": 160 + }, + { + "epoch": 0.09, + "learning_rate": 9.999975658183292e-06, + "loss": 0.9717, + "step": 161 + }, + { + "epoch": 0.09, + "learning_rate": 9.999964947796453e-06, + "loss": 1.004, + "step": 162 + }, + { + "epoch": 0.09, + "learning_rate": 9.999952290076414e-06, + "loss": 1.208, + "step": 163 + }, + { + "epoch": 0.09, + "learning_rate": 9.999937685028101e-06, + "loss": 1.0259, + "step": 164 + }, + { + "epoch": 0.1, + "learning_rate": 9.999921132657206e-06, + "loss": 1.2556, + "step": 165 + }, + { + "epoch": 0.1, + "learning_rate": 9.999902632970174e-06, + "loss": 1.2101, + "step": 166 + }, + { + "epoch": 0.1, + "learning_rate": 9.999882185974208e-06, + "loss": 1.2141, + "step": 167 + }, + { + "epoch": 0.1, + "learning_rate": 9.999859791677274e-06, + "loss": 0.9322, + "step": 168 + }, + { + "epoch": 0.1, + "learning_rate": 9.999835450088093e-06, + "loss": 1.0845, + "step": 169 + }, + { + "epoch": 0.1, + "learning_rate": 9.999809161216145e-06, + "loss": 1.1338, + "step": 170 + }, + { + "epoch": 0.1, + "learning_rate": 9.99978092507167e-06, + "loss": 1.0232, + "step": 171 + }, + { + "epoch": 0.1, + "learning_rate": 9.999750741665664e-06, + "loss": 0.972, + "step": 172 + }, + { + "epoch": 0.1, + "learning_rate": 9.999718611009884e-06, + "loss": 0.9978, + "step": 173 + }, + { + "epoch": 0.1, + "learning_rate": 9.999684533116843e-06, + "loss": 1.161, + "step": 174 + }, + { + "epoch": 0.1, + "learning_rate": 9.99964850799981e-06, + "loss": 1.0792, + "step": 175 + }, + { + "epoch": 0.1, + "learning_rate": 9.999610535672822e-06, + "loss": 0.9918, + "step": 176 + }, + { + "epoch": 0.1, + "learning_rate": 9.999570616150664e-06, + "loss": 1.0092, + "step": 177 + }, + { + "epoch": 0.1, + "learning_rate": 9.999528749448883e-06, + "loss": 1.084, + "step": 178 + }, + { + "epoch": 0.1, + "learning_rate": 9.999484935583787e-06, + "loss": 1.1234, + "step": 179 + }, + { + "epoch": 0.1, + "learning_rate": 9.999439174572441e-06, + "loss": 1.1591, + "step": 180 + }, + { + "epoch": 0.1, + "learning_rate": 9.999391466432663e-06, + "loss": 1.1137, + "step": 181 + }, + { + "epoch": 0.11, + "learning_rate": 9.999341811183036e-06, + "loss": 0.9278, + "step": 182 + }, + { + "epoch": 0.11, + "learning_rate": 9.999290208842902e-06, + "loss": 1.1539, + "step": 183 + }, + { + "epoch": 0.11, + "learning_rate": 9.999236659432357e-06, + "loss": 0.9506, + "step": 184 + }, + { + "epoch": 0.11, + "learning_rate": 9.999181162972253e-06, + "loss": 1.1226, + "step": 185 + }, + { + "epoch": 0.11, + "learning_rate": 9.999123719484209e-06, + "loss": 1.048, + "step": 186 + }, + { + "epoch": 0.11, + "learning_rate": 9.999064328990596e-06, + "loss": 1.078, + "step": 187 + }, + { + "epoch": 0.11, + "learning_rate": 9.999002991514544e-06, + "loss": 1.0981, + "step": 188 + }, + { + "epoch": 0.11, + "learning_rate": 9.998939707079943e-06, + "loss": 1.2173, + "step": 189 + }, + { + "epoch": 0.11, + "learning_rate": 9.998874475711439e-06, + "loss": 0.9361, + "step": 190 + }, + { + "epoch": 0.11, + "learning_rate": 9.998807297434441e-06, + "loss": 1.0418, + "step": 191 + }, + { + "epoch": 0.11, + "learning_rate": 9.99873817227511e-06, + "loss": 1.1751, + "step": 192 + }, + { + "epoch": 0.11, + "learning_rate": 9.998667100260367e-06, + "loss": 0.9185, + "step": 193 + }, + { + "epoch": 0.11, + "learning_rate": 9.998594081417894e-06, + "loss": 1.0563, + "step": 194 + }, + { + "epoch": 0.11, + "learning_rate": 9.99851911577613e-06, + "loss": 1.0217, + "step": 195 + }, + { + "epoch": 0.11, + "learning_rate": 9.998442203364271e-06, + "loss": 1.1451, + "step": 196 + }, + { + "epoch": 0.11, + "learning_rate": 9.998363344212275e-06, + "loss": 1.1525, + "step": 197 + }, + { + "epoch": 0.11, + "learning_rate": 9.998282538350849e-06, + "loss": 1.0686, + "step": 198 + }, + { + "epoch": 0.11, + "learning_rate": 9.998199785811472e-06, + "loss": 1.1493, + "step": 199 + }, + { + "epoch": 0.12, + "learning_rate": 9.998115086626367e-06, + "loss": 1.0811, + "step": 200 + }, + { + "epoch": 0.12, + "learning_rate": 9.998028440828524e-06, + "loss": 1.0354, + "step": 201 + }, + { + "epoch": 0.12, + "learning_rate": 9.99793984845169e-06, + "loss": 1.1304, + "step": 202 + }, + { + "epoch": 0.12, + "learning_rate": 9.997849309530369e-06, + "loss": 1.2232, + "step": 203 + }, + { + "epoch": 0.12, + "learning_rate": 9.997756824099822e-06, + "loss": 1.1298, + "step": 204 + }, + { + "epoch": 0.12, + "learning_rate": 9.99766239219607e-06, + "loss": 0.9466, + "step": 205 + }, + { + "epoch": 0.12, + "learning_rate": 9.997566013855891e-06, + "loss": 1.0656, + "step": 206 + }, + { + "epoch": 0.12, + "learning_rate": 9.99746768911682e-06, + "loss": 1.0893, + "step": 207 + }, + { + "epoch": 0.12, + "learning_rate": 9.997367418017154e-06, + "loss": 1.145, + "step": 208 + }, + { + "epoch": 0.12, + "learning_rate": 9.997265200595944e-06, + "loss": 0.9033, + "step": 209 + }, + { + "epoch": 0.12, + "learning_rate": 9.997161036893001e-06, + "loss": 1.1995, + "step": 210 + }, + { + "epoch": 0.12, + "learning_rate": 9.997054926948895e-06, + "loss": 1.1877, + "step": 211 + }, + { + "epoch": 0.12, + "learning_rate": 9.99694687080495e-06, + "loss": 0.918, + "step": 212 + }, + { + "epoch": 0.12, + "learning_rate": 9.996836868503253e-06, + "loss": 1.2247, + "step": 213 + }, + { + "epoch": 0.12, + "learning_rate": 9.996724920086643e-06, + "loss": 1.0695, + "step": 214 + }, + { + "epoch": 0.12, + "learning_rate": 9.996611025598723e-06, + "loss": 0.9076, + "step": 215 + }, + { + "epoch": 0.12, + "learning_rate": 9.996495185083853e-06, + "loss": 1.0048, + "step": 216 + }, + { + "epoch": 0.13, + "learning_rate": 9.996377398587146e-06, + "loss": 1.1376, + "step": 217 + }, + { + "epoch": 0.13, + "learning_rate": 9.996257666154477e-06, + "loss": 1.0863, + "step": 218 + }, + { + "epoch": 0.13, + "learning_rate": 9.996135987832481e-06, + "loss": 1.2174, + "step": 219 + }, + { + "epoch": 0.13, + "learning_rate": 9.996012363668544e-06, + "loss": 0.9368, + "step": 220 + }, + { + "epoch": 0.13, + "learning_rate": 9.995886793710816e-06, + "loss": 1.1135, + "step": 221 + }, + { + "epoch": 0.13, + "learning_rate": 9.995759278008202e-06, + "loss": 1.0947, + "step": 222 + }, + { + "epoch": 0.13, + "learning_rate": 9.995629816610365e-06, + "loss": 1.006, + "step": 223 + }, + { + "epoch": 0.13, + "learning_rate": 9.995498409567727e-06, + "loss": 1.1067, + "step": 224 + }, + { + "epoch": 0.13, + "learning_rate": 9.99536505693147e-06, + "loss": 1.0684, + "step": 225 + }, + { + "epoch": 0.13, + "learning_rate": 9.995229758753523e-06, + "loss": 1.2242, + "step": 226 + }, + { + "epoch": 0.13, + "learning_rate": 9.99509251508659e-06, + "loss": 1.0718, + "step": 227 + }, + { + "epoch": 0.13, + "learning_rate": 9.994953325984116e-06, + "loss": 1.1542, + "step": 228 + }, + { + "epoch": 0.13, + "learning_rate": 9.994812191500313e-06, + "loss": 1.0573, + "step": 229 + }, + { + "epoch": 0.13, + "learning_rate": 9.99466911169015e-06, + "loss": 1.2511, + "step": 230 + }, + { + "epoch": 0.13, + "learning_rate": 9.994524086609349e-06, + "loss": 0.9884, + "step": 231 + }, + { + "epoch": 0.13, + "learning_rate": 9.994377116314397e-06, + "loss": 0.9579, + "step": 232 + }, + { + "epoch": 0.13, + "learning_rate": 9.994228200862532e-06, + "loss": 1.1967, + "step": 233 + }, + { + "epoch": 0.14, + "learning_rate": 9.994077340311751e-06, + "loss": 1.3001, + "step": 234 + }, + { + "epoch": 0.14, + "learning_rate": 9.993924534720814e-06, + "loss": 1.0579, + "step": 235 + }, + { + "epoch": 0.14, + "learning_rate": 9.993769784149229e-06, + "loss": 1.0575, + "step": 236 + }, + { + "epoch": 0.14, + "learning_rate": 9.993613088657267e-06, + "loss": 1.2556, + "step": 237 + }, + { + "epoch": 0.14, + "learning_rate": 9.993454448305961e-06, + "loss": 1.0135, + "step": 238 + }, + { + "epoch": 0.14, + "learning_rate": 9.993293863157092e-06, + "loss": 1.0949, + "step": 239 + }, + { + "epoch": 0.14, + "learning_rate": 9.993131333273203e-06, + "loss": 1.0404, + "step": 240 + }, + { + "epoch": 0.14, + "learning_rate": 9.992966858717597e-06, + "loss": 1.0815, + "step": 241 + }, + { + "epoch": 0.14, + "learning_rate": 9.992800439554331e-06, + "loss": 1.1136, + "step": 242 + }, + { + "epoch": 0.14, + "learning_rate": 9.992632075848218e-06, + "loss": 1.264, + "step": 243 + }, + { + "epoch": 0.14, + "learning_rate": 9.992461767664833e-06, + "loss": 1.0117, + "step": 244 + }, + { + "epoch": 0.14, + "learning_rate": 9.992289515070506e-06, + "loss": 1.2151, + "step": 245 + }, + { + "epoch": 0.14, + "learning_rate": 9.99211531813232e-06, + "loss": 1.088, + "step": 246 + }, + { + "epoch": 0.14, + "learning_rate": 9.991939176918127e-06, + "loss": 1.1497, + "step": 247 + }, + { + "epoch": 0.14, + "learning_rate": 9.99176109149652e-06, + "loss": 0.8865, + "step": 248 + }, + { + "epoch": 0.14, + "learning_rate": 9.991581061936864e-06, + "loss": 1.2291, + "step": 249 + }, + { + "epoch": 0.14, + "learning_rate": 9.991399088309273e-06, + "loss": 1.0176, + "step": 250 + }, + { + "epoch": 0.15, + "learning_rate": 9.991215170684618e-06, + "loss": 1.0204, + "step": 251 + }, + { + "epoch": 0.15, + "learning_rate": 9.991029309134533e-06, + "loss": 1.2076, + "step": 252 + }, + { + "epoch": 0.15, + "learning_rate": 9.990841503731403e-06, + "loss": 1.0757, + "step": 253 + }, + { + "epoch": 0.15, + "learning_rate": 9.990651754548374e-06, + "loss": 1.0483, + "step": 254 + }, + { + "epoch": 0.15, + "learning_rate": 9.990460061659346e-06, + "loss": 0.9856, + "step": 255 + }, + { + "epoch": 0.15, + "learning_rate": 9.990266425138979e-06, + "loss": 0.9875, + "step": 256 + }, + { + "epoch": 0.15, + "learning_rate": 9.990070845062687e-06, + "loss": 1.1317, + "step": 257 + }, + { + "epoch": 0.15, + "learning_rate": 9.989873321506643e-06, + "loss": 0.9574, + "step": 258 + }, + { + "epoch": 0.15, + "learning_rate": 9.989673854547778e-06, + "loss": 1.0106, + "step": 259 + }, + { + "epoch": 0.15, + "learning_rate": 9.989472444263773e-06, + "loss": 0.9025, + "step": 260 + }, + { + "epoch": 0.15, + "learning_rate": 9.989269090733078e-06, + "loss": 1.149, + "step": 261 + }, + { + "epoch": 0.15, + "learning_rate": 9.98906379403489e-06, + "loss": 1.1655, + "step": 262 + }, + { + "epoch": 0.15, + "learning_rate": 9.988856554249163e-06, + "loss": 0.9097, + "step": 263 + }, + { + "epoch": 0.15, + "learning_rate": 9.988647371456614e-06, + "loss": 0.92, + "step": 264 + }, + { + "epoch": 0.15, + "learning_rate": 9.988436245738714e-06, + "loss": 1.1595, + "step": 265 + }, + { + "epoch": 0.15, + "learning_rate": 9.988223177177688e-06, + "loss": 0.9177, + "step": 266 + }, + { + "epoch": 0.15, + "learning_rate": 9.98800816585652e-06, + "loss": 1.0043, + "step": 267 + }, + { + "epoch": 0.15, + "learning_rate": 9.98779121185895e-06, + "loss": 1.1646, + "step": 268 + }, + { + "epoch": 0.16, + "learning_rate": 9.987572315269475e-06, + "loss": 1.1096, + "step": 269 + }, + { + "epoch": 0.16, + "learning_rate": 9.987351476173352e-06, + "loss": 0.937, + "step": 270 + }, + { + "epoch": 0.16, + "learning_rate": 9.987128694656585e-06, + "loss": 1.116, + "step": 271 + }, + { + "epoch": 0.16, + "learning_rate": 9.986903970805944e-06, + "loss": 0.9868, + "step": 272 + }, + { + "epoch": 0.16, + "learning_rate": 9.986677304708952e-06, + "loss": 1.0705, + "step": 273 + }, + { + "epoch": 0.16, + "learning_rate": 9.986448696453887e-06, + "loss": 1.1303, + "step": 274 + }, + { + "epoch": 0.16, + "learning_rate": 9.986218146129789e-06, + "loss": 1.1893, + "step": 275 + }, + { + "epoch": 0.16, + "learning_rate": 9.985985653826444e-06, + "loss": 1.1013, + "step": 276 + }, + { + "epoch": 0.16, + "learning_rate": 9.985751219634406e-06, + "loss": 1.0536, + "step": 277 + }, + { + "epoch": 0.16, + "learning_rate": 9.985514843644978e-06, + "loss": 1.0179, + "step": 278 + }, + { + "epoch": 0.16, + "learning_rate": 9.985276525950221e-06, + "loss": 1.1292, + "step": 279 + }, + { + "epoch": 0.16, + "learning_rate": 9.985036266642952e-06, + "loss": 1.1465, + "step": 280 + }, + { + "epoch": 0.16, + "learning_rate": 9.984794065816744e-06, + "loss": 1.0592, + "step": 281 + }, + { + "epoch": 0.16, + "learning_rate": 9.98454992356593e-06, + "loss": 1.1181, + "step": 282 + }, + { + "epoch": 0.16, + "learning_rate": 9.984303839985593e-06, + "loss": 1.1689, + "step": 283 + }, + { + "epoch": 0.16, + "learning_rate": 9.984055815171576e-06, + "loss": 1.289, + "step": 284 + }, + { + "epoch": 0.16, + "learning_rate": 9.983805849220475e-06, + "loss": 1.0943, + "step": 285 + }, + { + "epoch": 0.17, + "learning_rate": 9.983553942229649e-06, + "loss": 1.0122, + "step": 286 + }, + { + "epoch": 0.17, + "learning_rate": 9.983300094297205e-06, + "loss": 1.2763, + "step": 287 + }, + { + "epoch": 0.17, + "learning_rate": 9.983044305522007e-06, + "loss": 0.959, + "step": 288 + }, + { + "epoch": 0.17, + "learning_rate": 9.982786576003682e-06, + "loss": 0.982, + "step": 289 + }, + { + "epoch": 0.17, + "learning_rate": 9.982526905842601e-06, + "loss": 0.9806, + "step": 290 + }, + { + "epoch": 0.17, + "learning_rate": 9.982265295139906e-06, + "loss": 1.1962, + "step": 291 + }, + { + "epoch": 0.17, + "learning_rate": 9.982001743997477e-06, + "loss": 1.1179, + "step": 292 + }, + { + "epoch": 0.17, + "learning_rate": 9.981736252517967e-06, + "loss": 0.8824, + "step": 293 + }, + { + "epoch": 0.17, + "learning_rate": 9.981468820804774e-06, + "loss": 1.0198, + "step": 294 + }, + { + "epoch": 0.17, + "learning_rate": 9.98119944896205e-06, + "loss": 1.0382, + "step": 295 + }, + { + "epoch": 0.17, + "learning_rate": 9.980928137094716e-06, + "loss": 0.9761, + "step": 296 + }, + { + "epoch": 0.17, + "learning_rate": 9.980654885308433e-06, + "loss": 1.1228, + "step": 297 + }, + { + "epoch": 0.17, + "learning_rate": 9.980379693709626e-06, + "loss": 1.1449, + "step": 298 + }, + { + "epoch": 0.17, + "learning_rate": 9.980102562405474e-06, + "loss": 1.199, + "step": 299 + }, + { + "epoch": 0.17, + "learning_rate": 9.979823491503909e-06, + "loss": 1.0364, + "step": 300 + }, + { + "epoch": 0.17, + "learning_rate": 9.979542481113625e-06, + "loss": 1.2125, + "step": 301 + }, + { + "epoch": 0.17, + "learning_rate": 9.979259531344062e-06, + "loss": 1.1563, + "step": 302 + }, + { + "epoch": 0.18, + "learning_rate": 9.978974642305424e-06, + "loss": 1.1152, + "step": 303 + }, + { + "epoch": 0.18, + "learning_rate": 9.978687814108666e-06, + "loss": 1.0776, + "step": 304 + }, + { + "epoch": 0.18, + "learning_rate": 9.978399046865498e-06, + "loss": 1.0826, + "step": 305 + }, + { + "epoch": 0.18, + "learning_rate": 9.978108340688383e-06, + "loss": 1.07, + "step": 306 + }, + { + "epoch": 0.18, + "learning_rate": 9.977815695690547e-06, + "loss": 1.1216, + "step": 307 + }, + { + "epoch": 0.18, + "learning_rate": 9.977521111985965e-06, + "loss": 1.0197, + "step": 308 + }, + { + "epoch": 0.18, + "learning_rate": 9.977224589689366e-06, + "loss": 0.9882, + "step": 309 + }, + { + "epoch": 0.18, + "learning_rate": 9.976926128916242e-06, + "loss": 1.0157, + "step": 310 + }, + { + "epoch": 0.18, + "learning_rate": 9.976625729782827e-06, + "loss": 1.08, + "step": 311 + }, + { + "epoch": 0.18, + "learning_rate": 9.976323392406122e-06, + "loss": 1.1745, + "step": 312 + }, + { + "epoch": 0.18, + "learning_rate": 9.976019116903875e-06, + "loss": 1.1643, + "step": 313 + }, + { + "epoch": 0.18, + "learning_rate": 9.975712903394597e-06, + "loss": 1.0343, + "step": 314 + }, + { + "epoch": 0.18, + "learning_rate": 9.975404751997543e-06, + "loss": 1.1074, + "step": 315 + }, + { + "epoch": 0.18, + "learning_rate": 9.975094662832732e-06, + "loss": 0.952, + "step": 316 + }, + { + "epoch": 0.18, + "learning_rate": 9.974782636020933e-06, + "loss": 0.9747, + "step": 317 + }, + { + "epoch": 0.18, + "learning_rate": 9.974468671683673e-06, + "loss": 1.0048, + "step": 318 + }, + { + "epoch": 0.18, + "learning_rate": 9.974152769943227e-06, + "loss": 0.9961, + "step": 319 + }, + { + "epoch": 0.18, + "learning_rate": 9.973834930922634e-06, + "loss": 1.0847, + "step": 320 + }, + { + "epoch": 0.19, + "learning_rate": 9.973515154745679e-06, + "loss": 1.1878, + "step": 321 + }, + { + "epoch": 0.19, + "learning_rate": 9.973193441536905e-06, + "loss": 1.0162, + "step": 322 + }, + { + "epoch": 0.19, + "learning_rate": 9.972869791421615e-06, + "loss": 1.0508, + "step": 323 + }, + { + "epoch": 0.19, + "learning_rate": 9.972544204525853e-06, + "loss": 0.847, + "step": 324 + }, + { + "epoch": 0.19, + "learning_rate": 9.97221668097643e-06, + "loss": 1.0445, + "step": 325 + }, + { + "epoch": 0.19, + "learning_rate": 9.971887220900907e-06, + "loss": 0.8559, + "step": 326 + }, + { + "epoch": 0.19, + "learning_rate": 9.971555824427594e-06, + "loss": 0.9151, + "step": 327 + }, + { + "epoch": 0.19, + "learning_rate": 9.971222491685564e-06, + "loss": 1.1306, + "step": 328 + }, + { + "epoch": 0.19, + "learning_rate": 9.970887222804637e-06, + "loss": 1.0244, + "step": 329 + }, + { + "epoch": 0.19, + "learning_rate": 9.970550017915393e-06, + "loss": 1.1952, + "step": 330 + }, + { + "epoch": 0.19, + "learning_rate": 9.97021087714916e-06, + "loss": 1.1184, + "step": 331 + }, + { + "epoch": 0.19, + "learning_rate": 9.969869800638026e-06, + "loss": 1.1313, + "step": 332 + }, + { + "epoch": 0.19, + "learning_rate": 9.969526788514827e-06, + "loss": 1.016, + "step": 333 + }, + { + "epoch": 0.19, + "learning_rate": 9.969181840913159e-06, + "loss": 0.8947, + "step": 334 + }, + { + "epoch": 0.19, + "learning_rate": 9.968834957967363e-06, + "loss": 1.1373, + "step": 335 + }, + { + "epoch": 0.19, + "learning_rate": 9.968486139812544e-06, + "loss": 1.1395, + "step": 336 + }, + { + "epoch": 0.19, + "learning_rate": 9.968135386584554e-06, + "loss": 1.0279, + "step": 337 + }, + { + "epoch": 0.2, + "learning_rate": 9.967782698420004e-06, + "loss": 1.0045, + "step": 338 + }, + { + "epoch": 0.2, + "learning_rate": 9.967428075456248e-06, + "loss": 1.0933, + "step": 339 + }, + { + "epoch": 0.2, + "learning_rate": 9.967071517831411e-06, + "loss": 1.0829, + "step": 340 + }, + { + "epoch": 0.2, + "learning_rate": 9.966713025684351e-06, + "loss": 1.112, + "step": 341 + }, + { + "epoch": 0.2, + "learning_rate": 9.966352599154697e-06, + "loss": 0.9315, + "step": 342 + }, + { + "epoch": 0.2, + "learning_rate": 9.96599023838282e-06, + "loss": 1.1093, + "step": 343 + }, + { + "epoch": 0.2, + "learning_rate": 9.965625943509851e-06, + "loss": 1.0793, + "step": 344 + }, + { + "epoch": 0.2, + "learning_rate": 9.965259714677668e-06, + "loss": 0.9675, + "step": 345 + }, + { + "epoch": 0.2, + "learning_rate": 9.964891552028911e-06, + "loss": 1.0486, + "step": 346 + }, + { + "epoch": 0.2, + "learning_rate": 9.964521455706965e-06, + "loss": 0.958, + "step": 347 + }, + { + "epoch": 0.2, + "learning_rate": 9.964149425855971e-06, + "loss": 1.0303, + "step": 348 + }, + { + "epoch": 0.2, + "learning_rate": 9.963775462620825e-06, + "loss": 1.0611, + "step": 349 + }, + { + "epoch": 0.2, + "learning_rate": 9.963399566147172e-06, + "loss": 1.1357, + "step": 350 + }, + { + "epoch": 0.2, + "learning_rate": 9.963021736581413e-06, + "loss": 1.0651, + "step": 351 + }, + { + "epoch": 0.2, + "learning_rate": 9.962641974070702e-06, + "loss": 0.9568, + "step": 352 + }, + { + "epoch": 0.2, + "learning_rate": 9.962260278762946e-06, + "loss": 1.041, + "step": 353 + }, + { + "epoch": 0.2, + "learning_rate": 9.961876650806799e-06, + "loss": 1.2201, + "step": 354 + }, + { + "epoch": 0.21, + "learning_rate": 9.961491090351676e-06, + "loss": 0.9089, + "step": 355 + }, + { + "epoch": 0.21, + "learning_rate": 9.961103597547741e-06, + "loss": 1.1417, + "step": 356 + }, + { + "epoch": 0.21, + "learning_rate": 9.96071417254591e-06, + "loss": 1.2027, + "step": 357 + }, + { + "epoch": 0.21, + "learning_rate": 9.960322815497852e-06, + "loss": 0.9323, + "step": 358 + }, + { + "epoch": 0.21, + "learning_rate": 9.959929526555987e-06, + "loss": 0.8827, + "step": 359 + }, + { + "epoch": 0.21, + "learning_rate": 9.95953430587349e-06, + "loss": 1.0305, + "step": 360 + }, + { + "epoch": 0.21, + "learning_rate": 9.95913715360429e-06, + "loss": 0.9028, + "step": 361 + }, + { + "epoch": 0.21, + "learning_rate": 9.958738069903062e-06, + "loss": 1.0454, + "step": 362 + }, + { + "epoch": 0.21, + "learning_rate": 9.958337054925239e-06, + "loss": 1.1861, + "step": 363 + }, + { + "epoch": 0.21, + "learning_rate": 9.957934108827003e-06, + "loss": 0.8635, + "step": 364 + }, + { + "epoch": 0.21, + "learning_rate": 9.957529231765289e-06, + "loss": 1.1306, + "step": 365 + }, + { + "epoch": 0.21, + "learning_rate": 9.957122423897786e-06, + "loss": 1.0467, + "step": 366 + }, + { + "epoch": 0.21, + "learning_rate": 9.956713685382931e-06, + "loss": 1.0476, + "step": 367 + }, + { + "epoch": 0.21, + "learning_rate": 9.956303016379916e-06, + "loss": 1.128, + "step": 368 + }, + { + "epoch": 0.21, + "learning_rate": 9.955890417048686e-06, + "loss": 1.0823, + "step": 369 + }, + { + "epoch": 0.21, + "learning_rate": 9.955475887549933e-06, + "loss": 0.9169, + "step": 370 + }, + { + "epoch": 0.21, + "learning_rate": 9.955059428045102e-06, + "loss": 1.1195, + "step": 371 + }, + { + "epoch": 0.21, + "learning_rate": 9.954641038696395e-06, + "loss": 1.1197, + "step": 372 + }, + { + "epoch": 0.22, + "learning_rate": 9.954220719666761e-06, + "loss": 0.9047, + "step": 373 + }, + { + "epoch": 0.22, + "learning_rate": 9.953798471119902e-06, + "loss": 1.0175, + "step": 374 + }, + { + "epoch": 0.22, + "learning_rate": 9.953374293220268e-06, + "loss": 1.0745, + "step": 375 + }, + { + "epoch": 0.22, + "learning_rate": 9.952948186133066e-06, + "loss": 1.1427, + "step": 376 + }, + { + "epoch": 0.22, + "learning_rate": 9.952520150024251e-06, + "loss": 1.0006, + "step": 377 + }, + { + "epoch": 0.22, + "learning_rate": 9.952090185060528e-06, + "loss": 0.9272, + "step": 378 + }, + { + "epoch": 0.22, + "learning_rate": 9.951658291409358e-06, + "loss": 0.9994, + "step": 379 + }, + { + "epoch": 0.22, + "learning_rate": 9.951224469238949e-06, + "loss": 1.041, + "step": 380 + }, + { + "epoch": 0.22, + "learning_rate": 9.950788718718262e-06, + "loss": 1.0084, + "step": 381 + }, + { + "epoch": 0.22, + "learning_rate": 9.950351040017007e-06, + "loss": 1.1663, + "step": 382 + }, + { + "epoch": 0.22, + "learning_rate": 9.94991143330565e-06, + "loss": 0.9753, + "step": 383 + }, + { + "epoch": 0.22, + "learning_rate": 9.9494698987554e-06, + "loss": 1.2382, + "step": 384 + }, + { + "epoch": 0.22, + "learning_rate": 9.949026436538223e-06, + "loss": 1.0753, + "step": 385 + }, + { + "epoch": 0.22, + "learning_rate": 9.948581046826835e-06, + "loss": 1.0164, + "step": 386 + }, + { + "epoch": 0.22, + "learning_rate": 9.9481337297947e-06, + "loss": 1.202, + "step": 387 + }, + { + "epoch": 0.22, + "learning_rate": 9.947684485616036e-06, + "loss": 1.2132, + "step": 388 + }, + { + "epoch": 0.22, + "learning_rate": 9.947233314465807e-06, + "loss": 1.0343, + "step": 389 + }, + { + "epoch": 0.23, + "learning_rate": 9.946780216519734e-06, + "loss": 1.1803, + "step": 390 + }, + { + "epoch": 0.23, + "learning_rate": 9.946325191954283e-06, + "loss": 1.0142, + "step": 391 + }, + { + "epoch": 0.23, + "learning_rate": 9.94586824094667e-06, + "loss": 1.1111, + "step": 392 + }, + { + "epoch": 0.23, + "learning_rate": 9.945409363674867e-06, + "loss": 1.2319, + "step": 393 + }, + { + "epoch": 0.23, + "learning_rate": 9.944948560317592e-06, + "loss": 1.0264, + "step": 394 + }, + { + "epoch": 0.23, + "learning_rate": 9.944485831054311e-06, + "loss": 0.9998, + "step": 395 + }, + { + "epoch": 0.23, + "learning_rate": 9.944021176065247e-06, + "loss": 1.1853, + "step": 396 + }, + { + "epoch": 0.23, + "learning_rate": 9.943554595531364e-06, + "loss": 0.938, + "step": 397 + }, + { + "epoch": 0.23, + "learning_rate": 9.943086089634387e-06, + "loss": 1.1229, + "step": 398 + }, + { + "epoch": 0.23, + "learning_rate": 9.942615658556778e-06, + "loss": 1.0387, + "step": 399 + }, + { + "epoch": 0.23, + "learning_rate": 9.942143302481759e-06, + "loss": 0.9583, + "step": 400 + }, + { + "epoch": 0.23, + "learning_rate": 9.9416690215933e-06, + "loss": 1.0944, + "step": 401 + }, + { + "epoch": 0.23, + "learning_rate": 9.941192816076114e-06, + "loss": 1.0373, + "step": 402 + }, + { + "epoch": 0.23, + "learning_rate": 9.940714686115674e-06, + "loss": 1.0935, + "step": 403 + }, + { + "epoch": 0.23, + "learning_rate": 9.940234631898193e-06, + "loss": 1.1676, + "step": 404 + }, + { + "epoch": 0.23, + "learning_rate": 9.939752653610639e-06, + "loss": 1.1275, + "step": 405 + }, + { + "epoch": 0.23, + "learning_rate": 9.939268751440728e-06, + "loss": 0.9004, + "step": 406 + }, + { + "epoch": 0.24, + "learning_rate": 9.938782925576925e-06, + "loss": 1.1214, + "step": 407 + }, + { + "epoch": 0.24, + "learning_rate": 9.938295176208441e-06, + "loss": 0.9776, + "step": 408 + }, + { + "epoch": 0.24, + "learning_rate": 9.937805503525244e-06, + "loss": 1.0831, + "step": 409 + }, + { + "epoch": 0.24, + "learning_rate": 9.937313907718046e-06, + "loss": 1.0985, + "step": 410 + }, + { + "epoch": 0.24, + "learning_rate": 9.936820388978306e-06, + "loss": 0.9818, + "step": 411 + }, + { + "epoch": 0.24, + "learning_rate": 9.936324947498237e-06, + "loss": 1.1852, + "step": 412 + }, + { + "epoch": 0.24, + "learning_rate": 9.935827583470793e-06, + "loss": 0.8824, + "step": 413 + }, + { + "epoch": 0.24, + "learning_rate": 9.93532829708969e-06, + "loss": 1.0186, + "step": 414 + }, + { + "epoch": 0.24, + "learning_rate": 9.93482708854938e-06, + "loss": 1.0661, + "step": 415 + }, + { + "epoch": 0.24, + "learning_rate": 9.934323958045069e-06, + "loss": 1.1771, + "step": 416 + }, + { + "epoch": 0.24, + "learning_rate": 9.933818905772713e-06, + "loss": 1.1797, + "step": 417 + }, + { + "epoch": 0.24, + "learning_rate": 9.933311931929008e-06, + "loss": 0.9796, + "step": 418 + }, + { + "epoch": 0.24, + "learning_rate": 9.932803036711413e-06, + "loss": 1.2804, + "step": 419 + }, + { + "epoch": 0.24, + "learning_rate": 9.932292220318121e-06, + "loss": 0.9236, + "step": 420 + }, + { + "epoch": 0.24, + "learning_rate": 9.931779482948083e-06, + "loss": 0.8463, + "step": 421 + }, + { + "epoch": 0.24, + "learning_rate": 9.931264824800995e-06, + "loss": 1.0292, + "step": 422 + }, + { + "epoch": 0.24, + "learning_rate": 9.930748246077296e-06, + "loss": 1.0739, + "step": 423 + }, + { + "epoch": 0.24, + "learning_rate": 9.930229746978181e-06, + "loss": 1.0623, + "step": 424 + }, + { + "epoch": 0.25, + "learning_rate": 9.92970932770559e-06, + "loss": 1.0589, + "step": 425 + }, + { + "epoch": 0.25, + "learning_rate": 9.929186988462208e-06, + "loss": 1.023, + "step": 426 + }, + { + "epoch": 0.25, + "learning_rate": 9.928662729451472e-06, + "loss": 1.0123, + "step": 427 + }, + { + "epoch": 0.25, + "learning_rate": 9.928136550877565e-06, + "loss": 1.1057, + "step": 428 + }, + { + "epoch": 0.25, + "learning_rate": 9.927608452945413e-06, + "loss": 0.9542, + "step": 429 + }, + { + "epoch": 0.25, + "learning_rate": 9.927078435860702e-06, + "loss": 1.0872, + "step": 430 + }, + { + "epoch": 0.25, + "learning_rate": 9.926546499829853e-06, + "loss": 0.9379, + "step": 431 + }, + { + "epoch": 0.25, + "learning_rate": 9.926012645060037e-06, + "loss": 1.1088, + "step": 432 + }, + { + "epoch": 0.25, + "learning_rate": 9.925476871759177e-06, + "loss": 0.9663, + "step": 433 + }, + { + "epoch": 0.25, + "learning_rate": 9.924939180135938e-06, + "loss": 1.1775, + "step": 434 + }, + { + "epoch": 0.25, + "learning_rate": 9.924399570399737e-06, + "loss": 1.0455, + "step": 435 + }, + { + "epoch": 0.25, + "learning_rate": 9.923858042760732e-06, + "loss": 1.0095, + "step": 436 + }, + { + "epoch": 0.25, + "learning_rate": 9.923314597429834e-06, + "loss": 1.0482, + "step": 437 + }, + { + "epoch": 0.25, + "learning_rate": 9.9227692346187e-06, + "loss": 0.862, + "step": 438 + }, + { + "epoch": 0.25, + "learning_rate": 9.922221954539728e-06, + "loss": 1.0475, + "step": 439 + }, + { + "epoch": 0.25, + "learning_rate": 9.92167275740607e-06, + "loss": 1.0089, + "step": 440 + }, + { + "epoch": 0.25, + "learning_rate": 9.92112164343162e-06, + "loss": 1.0188, + "step": 441 + }, + { + "epoch": 0.26, + "learning_rate": 9.920568612831021e-06, + "loss": 0.9698, + "step": 442 + }, + { + "epoch": 0.26, + "learning_rate": 9.92001366581966e-06, + "loss": 0.9601, + "step": 443 + }, + { + "epoch": 0.26, + "learning_rate": 9.919456802613672e-06, + "loss": 0.8416, + "step": 444 + }, + { + "epoch": 0.26, + "learning_rate": 9.91889802342994e-06, + "loss": 1.2232, + "step": 445 + }, + { + "epoch": 0.26, + "learning_rate": 9.918337328486088e-06, + "loss": 0.9872, + "step": 446 + }, + { + "epoch": 0.26, + "learning_rate": 9.917774718000494e-06, + "loss": 1.2299, + "step": 447 + }, + { + "epoch": 0.26, + "learning_rate": 9.917210192192273e-06, + "loss": 1.0318, + "step": 448 + }, + { + "epoch": 0.26, + "learning_rate": 9.916643751281294e-06, + "loss": 1.144, + "step": 449 + }, + { + "epoch": 0.26, + "learning_rate": 9.916075395488167e-06, + "loss": 0.9429, + "step": 450 + }, + { + "epoch": 0.26, + "learning_rate": 9.91550512503425e-06, + "loss": 0.9432, + "step": 451 + }, + { + "epoch": 0.26, + "learning_rate": 9.914932940141644e-06, + "loss": 1.1643, + "step": 452 + }, + { + "epoch": 0.26, + "learning_rate": 9.9143588410332e-06, + "loss": 1.1689, + "step": 453 + }, + { + "epoch": 0.26, + "learning_rate": 9.913782827932509e-06, + "loss": 1.0366, + "step": 454 + }, + { + "epoch": 0.26, + "learning_rate": 9.913204901063915e-06, + "loss": 1.0424, + "step": 455 + }, + { + "epoch": 0.26, + "learning_rate": 9.912625060652496e-06, + "loss": 0.9092, + "step": 456 + }, + { + "epoch": 0.26, + "learning_rate": 9.912043306924088e-06, + "loss": 1.0998, + "step": 457 + }, + { + "epoch": 0.26, + "learning_rate": 9.911459640105266e-06, + "loss": 0.8732, + "step": 458 + }, + { + "epoch": 0.27, + "learning_rate": 9.910874060423345e-06, + "loss": 0.9607, + "step": 459 + }, + { + "epoch": 0.27, + "learning_rate": 9.910286568106398e-06, + "loss": 1.0134, + "step": 460 + }, + { + "epoch": 0.27, + "learning_rate": 9.909697163383228e-06, + "loss": 0.9903, + "step": 461 + }, + { + "epoch": 0.27, + "learning_rate": 9.909105846483394e-06, + "loss": 1.2032, + "step": 462 + }, + { + "epoch": 0.27, + "learning_rate": 9.908512617637195e-06, + "loss": 1.0256, + "step": 463 + }, + { + "epoch": 0.27, + "learning_rate": 9.907917477075677e-06, + "loss": 1.1146, + "step": 464 + }, + { + "epoch": 0.27, + "learning_rate": 9.907320425030627e-06, + "loss": 0.8173, + "step": 465 + }, + { + "epoch": 0.27, + "learning_rate": 9.906721461734579e-06, + "loss": 1.0522, + "step": 466 + }, + { + "epoch": 0.27, + "learning_rate": 9.906120587420811e-06, + "loss": 1.1911, + "step": 467 + }, + { + "epoch": 0.27, + "learning_rate": 9.905517802323345e-06, + "loss": 1.1293, + "step": 468 + }, + { + "epoch": 0.27, + "learning_rate": 9.904913106676948e-06, + "loss": 1.0679, + "step": 469 + }, + { + "epoch": 0.27, + "learning_rate": 9.904306500717129e-06, + "loss": 1.1274, + "step": 470 + }, + { + "epoch": 0.27, + "learning_rate": 9.903697984680143e-06, + "loss": 1.0748, + "step": 471 + }, + { + "epoch": 0.27, + "learning_rate": 9.90308755880299e-06, + "loss": 1.0324, + "step": 472 + }, + { + "epoch": 0.27, + "learning_rate": 9.902475223323408e-06, + "loss": 1.1286, + "step": 473 + }, + { + "epoch": 0.27, + "learning_rate": 9.901860978479889e-06, + "loss": 0.9904, + "step": 474 + }, + { + "epoch": 0.27, + "learning_rate": 9.90124482451166e-06, + "loss": 0.8558, + "step": 475 + }, + { + "epoch": 0.28, + "learning_rate": 9.900626761658691e-06, + "loss": 1.0362, + "step": 476 + }, + { + "epoch": 0.28, + "learning_rate": 9.900006790161701e-06, + "loss": 1.0759, + "step": 477 + }, + { + "epoch": 0.28, + "learning_rate": 9.899384910262151e-06, + "loss": 1.0135, + "step": 478 + }, + { + "epoch": 0.28, + "learning_rate": 9.898761122202242e-06, + "loss": 0.902, + "step": 479 + }, + { + "epoch": 0.28, + "learning_rate": 9.898135426224923e-06, + "loss": 1.1064, + "step": 480 + }, + { + "epoch": 0.28, + "learning_rate": 9.89750782257388e-06, + "loss": 1.0156, + "step": 481 + }, + { + "epoch": 0.28, + "learning_rate": 9.896878311493549e-06, + "loss": 1.0196, + "step": 482 + }, + { + "epoch": 0.28, + "learning_rate": 9.896246893229102e-06, + "loss": 1.0481, + "step": 483 + }, + { + "epoch": 0.28, + "learning_rate": 9.89561356802646e-06, + "loss": 0.9186, + "step": 484 + }, + { + "epoch": 0.28, + "learning_rate": 9.894978336132281e-06, + "loss": 1.1194, + "step": 485 + }, + { + "epoch": 0.28, + "learning_rate": 9.89434119779397e-06, + "loss": 1.1421, + "step": 486 + }, + { + "epoch": 0.28, + "learning_rate": 9.893702153259674e-06, + "loss": 1.0624, + "step": 487 + }, + { + "epoch": 0.28, + "learning_rate": 9.893061202778278e-06, + "loss": 1.0135, + "step": 488 + }, + { + "epoch": 0.28, + "learning_rate": 9.892418346599415e-06, + "loss": 1.0439, + "step": 489 + }, + { + "epoch": 0.28, + "learning_rate": 9.891773584973457e-06, + "loss": 1.006, + "step": 490 + }, + { + "epoch": 0.28, + "learning_rate": 9.89112691815152e-06, + "loss": 1.1106, + "step": 491 + }, + { + "epoch": 0.28, + "learning_rate": 9.89047834638546e-06, + "loss": 1.0478, + "step": 492 + }, + { + "epoch": 0.28, + "learning_rate": 9.889827869927875e-06, + "loss": 1.0596, + "step": 493 + }, + { + "epoch": 0.29, + "learning_rate": 9.889175489032107e-06, + "loss": 0.991, + "step": 494 + }, + { + "epoch": 0.29, + "learning_rate": 9.888521203952238e-06, + "loss": 1.0785, + "step": 495 + }, + { + "epoch": 0.29, + "learning_rate": 9.887865014943093e-06, + "loss": 0.8694, + "step": 496 + }, + { + "epoch": 0.29, + "learning_rate": 9.887206922260234e-06, + "loss": 1.1631, + "step": 497 + }, + { + "epoch": 0.29, + "learning_rate": 9.886546926159972e-06, + "loss": 1.0418, + "step": 498 + }, + { + "epoch": 0.29, + "learning_rate": 9.885885026899353e-06, + "loss": 0.9247, + "step": 499 + }, + { + "epoch": 0.29, + "learning_rate": 9.885221224736168e-06, + "loss": 1.0714, + "step": 500 + }, + { + "epoch": 0.29, + "eval_loss": 1.1758191585540771, + "eval_runtime": 90.1378, + "eval_samples_per_second": 17.107, + "eval_steps_per_second": 2.141, + "step": 500 + }, + { + "epoch": 0.29, + "learning_rate": 9.884555519928946e-06, + "loss": 1.081, + "step": 501 + }, + { + "epoch": 0.29, + "learning_rate": 9.883887912736959e-06, + "loss": 0.9773, + "step": 502 + }, + { + "epoch": 0.29, + "learning_rate": 9.88321840342022e-06, + "loss": 0.8937, + "step": 503 + }, + { + "epoch": 0.29, + "learning_rate": 9.882546992239483e-06, + "loss": 0.8111, + "step": 504 + }, + { + "epoch": 0.29, + "learning_rate": 9.881873679456243e-06, + "loss": 1.0577, + "step": 505 + }, + { + "epoch": 0.29, + "learning_rate": 9.88119846533273e-06, + "loss": 1.0657, + "step": 506 + }, + { + "epoch": 0.29, + "learning_rate": 9.880521350131925e-06, + "loss": 1.0389, + "step": 507 + }, + { + "epoch": 0.29, + "learning_rate": 9.879842334117538e-06, + "loss": 0.9929, + "step": 508 + }, + { + "epoch": 0.29, + "learning_rate": 9.879161417554031e-06, + "loss": 0.8891, + "step": 509 + }, + { + "epoch": 0.29, + "learning_rate": 9.878478600706595e-06, + "loss": 1.0267, + "step": 510 + }, + { + "epoch": 0.3, + "learning_rate": 9.877793883841169e-06, + "loss": 0.8922, + "step": 511 + }, + { + "epoch": 0.3, + "learning_rate": 9.877107267224429e-06, + "loss": 1.0693, + "step": 512 + }, + { + "epoch": 0.3, + "learning_rate": 9.876418751123788e-06, + "loss": 1.0529, + "step": 513 + }, + { + "epoch": 0.3, + "learning_rate": 9.875728335807407e-06, + "loss": 0.9663, + "step": 514 + }, + { + "epoch": 0.3, + "learning_rate": 9.87503602154418e-06, + "loss": 0.9459, + "step": 515 + }, + { + "epoch": 0.3, + "learning_rate": 9.87434180860374e-06, + "loss": 1.0108, + "step": 516 + }, + { + "epoch": 0.3, + "learning_rate": 9.873645697256463e-06, + "loss": 1.0826, + "step": 517 + }, + { + "epoch": 0.3, + "learning_rate": 9.872947687773464e-06, + "loss": 1.1406, + "step": 518 + }, + { + "epoch": 0.3, + "learning_rate": 9.872247780426595e-06, + "loss": 1.1833, + "step": 519 + }, + { + "epoch": 0.3, + "learning_rate": 9.871545975488448e-06, + "loss": 0.8866, + "step": 520 + }, + { + "epoch": 0.3, + "learning_rate": 9.870842273232358e-06, + "loss": 0.9354, + "step": 521 + }, + { + "epoch": 0.3, + "learning_rate": 9.87013667393239e-06, + "loss": 0.93, + "step": 522 + }, + { + "epoch": 0.3, + "learning_rate": 9.869429177863358e-06, + "loss": 1.1015, + "step": 523 + }, + { + "epoch": 0.3, + "learning_rate": 9.868719785300808e-06, + "loss": 1.0774, + "step": 524 + }, + { + "epoch": 0.3, + "learning_rate": 9.868008496521027e-06, + "loss": 1.0039, + "step": 525 + }, + { + "epoch": 0.3, + "learning_rate": 9.86729531180104e-06, + "loss": 1.1082, + "step": 526 + }, + { + "epoch": 0.3, + "learning_rate": 9.866580231418612e-06, + "loss": 0.8766, + "step": 527 + }, + { + "epoch": 0.31, + "learning_rate": 9.865863255652242e-06, + "loss": 1.1319, + "step": 528 + }, + { + "epoch": 0.31, + "learning_rate": 9.865144384781171e-06, + "loss": 1.0232, + "step": 529 + }, + { + "epoch": 0.31, + "learning_rate": 9.86442361908538e-06, + "loss": 0.9866, + "step": 530 + }, + { + "epoch": 0.31, + "learning_rate": 9.863700958845582e-06, + "loss": 1.1781, + "step": 531 + }, + { + "epoch": 0.31, + "learning_rate": 9.862976404343234e-06, + "loss": 1.0595, + "step": 532 + }, + { + "epoch": 0.31, + "learning_rate": 9.862249955860524e-06, + "loss": 0.8039, + "step": 533 + }, + { + "epoch": 0.31, + "learning_rate": 9.861521613680384e-06, + "loss": 1.1911, + "step": 534 + }, + { + "epoch": 0.31, + "learning_rate": 9.86079137808648e-06, + "loss": 0.998, + "step": 535 + }, + { + "epoch": 0.31, + "learning_rate": 9.860059249363217e-06, + "loss": 1.1036, + "step": 536 + }, + { + "epoch": 0.31, + "learning_rate": 9.859325227795736e-06, + "loss": 1.0584, + "step": 537 + }, + { + "epoch": 0.31, + "learning_rate": 9.858589313669918e-06, + "loss": 1.0019, + "step": 538 + }, + { + "epoch": 0.31, + "learning_rate": 9.857851507272376e-06, + "loss": 0.942, + "step": 539 + }, + { + "epoch": 0.31, + "learning_rate": 9.857111808890465e-06, + "loss": 0.9628, + "step": 540 + }, + { + "epoch": 0.31, + "learning_rate": 9.856370218812274e-06, + "loss": 0.9041, + "step": 541 + }, + { + "epoch": 0.31, + "learning_rate": 9.85562673732663e-06, + "loss": 0.9948, + "step": 542 + }, + { + "epoch": 0.31, + "learning_rate": 9.854881364723094e-06, + "loss": 0.9932, + "step": 543 + }, + { + "epoch": 0.31, + "learning_rate": 9.854134101291972e-06, + "loss": 1.1193, + "step": 544 + }, + { + "epoch": 0.31, + "learning_rate": 9.853384947324293e-06, + "loss": 1.0415, + "step": 545 + }, + { + "epoch": 0.32, + "learning_rate": 9.852633903111834e-06, + "loss": 1.0647, + "step": 546 + }, + { + "epoch": 0.32, + "learning_rate": 9.851880968947102e-06, + "loss": 1.1693, + "step": 547 + }, + { + "epoch": 0.32, + "learning_rate": 9.851126145123341e-06, + "loss": 1.0946, + "step": 548 + }, + { + "epoch": 0.32, + "learning_rate": 9.850369431934536e-06, + "loss": 1.0398, + "step": 549 + }, + { + "epoch": 0.32, + "learning_rate": 9.849610829675398e-06, + "loss": 1.1324, + "step": 550 + }, + { + "epoch": 0.32, + "learning_rate": 9.848850338641382e-06, + "loss": 1.0135, + "step": 551 + }, + { + "epoch": 0.32, + "learning_rate": 9.848087959128679e-06, + "loss": 1.0106, + "step": 552 + }, + { + "epoch": 0.32, + "learning_rate": 9.847323691434205e-06, + "loss": 1.1095, + "step": 553 + }, + { + "epoch": 0.32, + "learning_rate": 9.846557535855625e-06, + "loss": 1.0138, + "step": 554 + }, + { + "epoch": 0.32, + "learning_rate": 9.845789492691332e-06, + "loss": 1.0235, + "step": 555 + }, + { + "epoch": 0.32, + "learning_rate": 9.845019562240455e-06, + "loss": 1.0265, + "step": 556 + }, + { + "epoch": 0.32, + "learning_rate": 9.844247744802857e-06, + "loss": 1.1371, + "step": 557 + }, + { + "epoch": 0.32, + "learning_rate": 9.843474040679137e-06, + "loss": 1.1075, + "step": 558 + }, + { + "epoch": 0.32, + "learning_rate": 9.842698450170631e-06, + "loss": 0.7993, + "step": 559 + }, + { + "epoch": 0.32, + "learning_rate": 9.841920973579408e-06, + "loss": 1.008, + "step": 560 + }, + { + "epoch": 0.32, + "learning_rate": 9.84114161120827e-06, + "loss": 0.9307, + "step": 561 + }, + { + "epoch": 0.32, + "learning_rate": 9.840360363360755e-06, + "loss": 0.9155, + "step": 562 + }, + { + "epoch": 0.33, + "learning_rate": 9.839577230341135e-06, + "loss": 0.9678, + "step": 563 + }, + { + "epoch": 0.33, + "learning_rate": 9.838792212454416e-06, + "loss": 1.1954, + "step": 564 + }, + { + "epoch": 0.33, + "learning_rate": 9.83800531000634e-06, + "loss": 1.0043, + "step": 565 + }, + { + "epoch": 0.33, + "learning_rate": 9.83721652330338e-06, + "loss": 1.0244, + "step": 566 + }, + { + "epoch": 0.33, + "learning_rate": 9.836425852652744e-06, + "loss": 1.0347, + "step": 567 + }, + { + "epoch": 0.33, + "learning_rate": 9.835633298362377e-06, + "loss": 0.9116, + "step": 568 + }, + { + "epoch": 0.33, + "learning_rate": 9.834838860740949e-06, + "loss": 0.9405, + "step": 569 + }, + { + "epoch": 0.33, + "learning_rate": 9.834042540097875e-06, + "loss": 1.1432, + "step": 570 + }, + { + "epoch": 0.33, + "learning_rate": 9.833244336743293e-06, + "loss": 0.9495, + "step": 571 + }, + { + "epoch": 0.33, + "learning_rate": 9.83244425098808e-06, + "loss": 1.1235, + "step": 572 + }, + { + "epoch": 0.33, + "learning_rate": 9.831642283143847e-06, + "loss": 0.8453, + "step": 573 + }, + { + "epoch": 0.33, + "learning_rate": 9.830838433522934e-06, + "loss": 1.2087, + "step": 574 + }, + { + "epoch": 0.33, + "learning_rate": 9.830032702438416e-06, + "loss": 0.9393, + "step": 575 + }, + { + "epoch": 0.33, + "learning_rate": 9.829225090204102e-06, + "loss": 1.0099, + "step": 576 + }, + { + "epoch": 0.33, + "learning_rate": 9.82841559713453e-06, + "loss": 0.7879, + "step": 577 + }, + { + "epoch": 0.33, + "learning_rate": 9.827604223544973e-06, + "loss": 0.9673, + "step": 578 + }, + { + "epoch": 0.33, + "learning_rate": 9.826790969751438e-06, + "loss": 1.0294, + "step": 579 + }, + { + "epoch": 0.34, + "learning_rate": 9.825975836070662e-06, + "loss": 1.0178, + "step": 580 + }, + { + "epoch": 0.34, + "learning_rate": 9.825158822820113e-06, + "loss": 1.1594, + "step": 581 + }, + { + "epoch": 0.34, + "learning_rate": 9.824339930317994e-06, + "loss": 1.2388, + "step": 582 + }, + { + "epoch": 0.34, + "learning_rate": 9.823519158883237e-06, + "loss": 0.9907, + "step": 583 + }, + { + "epoch": 0.34, + "learning_rate": 9.822696508835511e-06, + "loss": 0.8205, + "step": 584 + }, + { + "epoch": 0.34, + "learning_rate": 9.821871980495208e-06, + "loss": 0.8609, + "step": 585 + }, + { + "epoch": 0.34, + "learning_rate": 9.821045574183461e-06, + "loss": 0.9305, + "step": 586 + }, + { + "epoch": 0.34, + "learning_rate": 9.820217290222127e-06, + "loss": 1.0216, + "step": 587 + }, + { + "epoch": 0.34, + "learning_rate": 9.819387128933799e-06, + "loss": 0.9592, + "step": 588 + }, + { + "epoch": 0.34, + "learning_rate": 9.818555090641797e-06, + "loss": 0.9982, + "step": 589 + }, + { + "epoch": 0.34, + "learning_rate": 9.817721175670176e-06, + "loss": 0.9477, + "step": 590 + }, + { + "epoch": 0.34, + "learning_rate": 9.816885384343722e-06, + "loss": 0.9817, + "step": 591 + }, + { + "epoch": 0.34, + "learning_rate": 9.81604771698795e-06, + "loss": 1.0529, + "step": 592 + }, + { + "epoch": 0.34, + "learning_rate": 9.8152081739291e-06, + "loss": 0.8294, + "step": 593 + }, + { + "epoch": 0.34, + "learning_rate": 9.814366755494155e-06, + "loss": 0.9609, + "step": 594 + }, + { + "epoch": 0.34, + "learning_rate": 9.813523462010819e-06, + "loss": 0.9591, + "step": 595 + }, + { + "epoch": 0.34, + "learning_rate": 9.81267829380753e-06, + "loss": 1.0678, + "step": 596 + }, + { + "epoch": 0.34, + "learning_rate": 9.811831251213453e-06, + "loss": 0.8412, + "step": 597 + }, + { + "epoch": 0.35, + "learning_rate": 9.810982334558487e-06, + "loss": 0.9476, + "step": 598 + }, + { + "epoch": 0.35, + "learning_rate": 9.810131544173258e-06, + "loss": 0.9569, + "step": 599 + }, + { + "epoch": 0.35, + "learning_rate": 9.809278880389126e-06, + "loss": 0.9127, + "step": 600 + }, + { + "epoch": 0.35, + "learning_rate": 9.808424343538172e-06, + "loss": 0.9523, + "step": 601 + }, + { + "epoch": 0.35, + "learning_rate": 9.807567933953217e-06, + "loss": 0.8829, + "step": 602 + }, + { + "epoch": 0.35, + "learning_rate": 9.806709651967802e-06, + "loss": 1.0579, + "step": 603 + }, + { + "epoch": 0.35, + "learning_rate": 9.805849497916205e-06, + "loss": 1.0728, + "step": 604 + }, + { + "epoch": 0.35, + "learning_rate": 9.804987472133427e-06, + "loss": 1.1204, + "step": 605 + }, + { + "epoch": 0.35, + "learning_rate": 9.804123574955202e-06, + "loss": 1.0067, + "step": 606 + }, + { + "epoch": 0.35, + "learning_rate": 9.803257806717993e-06, + "loss": 1.0024, + "step": 607 + }, + { + "epoch": 0.35, + "learning_rate": 9.802390167758987e-06, + "loss": 1.0424, + "step": 608 + }, + { + "epoch": 0.35, + "learning_rate": 9.801520658416105e-06, + "loss": 1.0301, + "step": 609 + }, + { + "epoch": 0.35, + "learning_rate": 9.800649279027994e-06, + "loss": 1.0168, + "step": 610 + }, + { + "epoch": 0.35, + "learning_rate": 9.799776029934029e-06, + "loss": 1.0393, + "step": 611 + }, + { + "epoch": 0.35, + "learning_rate": 9.798900911474315e-06, + "loss": 1.092, + "step": 612 + }, + { + "epoch": 0.35, + "learning_rate": 9.79802392398968e-06, + "loss": 0.9596, + "step": 613 + }, + { + "epoch": 0.35, + "learning_rate": 9.797145067821689e-06, + "loss": 0.9582, + "step": 614 + }, + { + "epoch": 0.36, + "learning_rate": 9.796264343312626e-06, + "loss": 0.9319, + "step": 615 + }, + { + "epoch": 0.36, + "learning_rate": 9.795381750805508e-06, + "loss": 1.1094, + "step": 616 + }, + { + "epoch": 0.36, + "learning_rate": 9.794497290644076e-06, + "loss": 1.0964, + "step": 617 + }, + { + "epoch": 0.36, + "learning_rate": 9.793610963172802e-06, + "loss": 0.9325, + "step": 618 + }, + { + "epoch": 0.36, + "learning_rate": 9.792722768736885e-06, + "loss": 1.0106, + "step": 619 + }, + { + "epoch": 0.36, + "learning_rate": 9.791832707682242e-06, + "loss": 0.9457, + "step": 620 + }, + { + "epoch": 0.36, + "learning_rate": 9.790940780355534e-06, + "loss": 1.008, + "step": 621 + }, + { + "epoch": 0.36, + "learning_rate": 9.790046987104133e-06, + "loss": 0.9542, + "step": 622 + }, + { + "epoch": 0.36, + "learning_rate": 9.789151328276147e-06, + "loss": 1.1266, + "step": 623 + }, + { + "epoch": 0.36, + "learning_rate": 9.78825380422041e-06, + "loss": 0.9439, + "step": 624 + }, + { + "epoch": 0.36, + "learning_rate": 9.787354415286472e-06, + "loss": 1.0654, + "step": 625 + }, + { + "epoch": 0.36, + "learning_rate": 9.786453161824625e-06, + "loss": 1.0264, + "step": 626 + }, + { + "epoch": 0.36, + "learning_rate": 9.785550044185877e-06, + "loss": 1.0827, + "step": 627 + }, + { + "epoch": 0.36, + "learning_rate": 9.784645062721962e-06, + "loss": 0.9121, + "step": 628 + }, + { + "epoch": 0.36, + "learning_rate": 9.783738217785349e-06, + "loss": 1.0849, + "step": 629 + }, + { + "epoch": 0.36, + "learning_rate": 9.78282950972922e-06, + "loss": 0.9767, + "step": 630 + }, + { + "epoch": 0.36, + "learning_rate": 9.781918938907494e-06, + "loss": 1.0719, + "step": 631 + }, + { + "epoch": 0.37, + "learning_rate": 9.781006505674807e-06, + "loss": 0.9645, + "step": 632 + }, + { + "epoch": 0.37, + "learning_rate": 9.780092210386522e-06, + "loss": 0.9634, + "step": 633 + }, + { + "epoch": 0.37, + "learning_rate": 9.779176053398736e-06, + "loss": 0.9141, + "step": 634 + }, + { + "epoch": 0.37, + "learning_rate": 9.778258035068258e-06, + "loss": 1.0154, + "step": 635 + }, + { + "epoch": 0.37, + "learning_rate": 9.77733815575263e-06, + "loss": 1.03, + "step": 636 + }, + { + "epoch": 0.37, + "learning_rate": 9.776416415810116e-06, + "loss": 0.9659, + "step": 637 + }, + { + "epoch": 0.37, + "learning_rate": 9.775492815599708e-06, + "loss": 1.1142, + "step": 638 + }, + { + "epoch": 0.37, + "learning_rate": 9.774567355481116e-06, + "loss": 0.8802, + "step": 639 + }, + { + "epoch": 0.37, + "learning_rate": 9.773640035814783e-06, + "loss": 1.1137, + "step": 640 + }, + { + "epoch": 0.37, + "learning_rate": 9.772710856961867e-06, + "loss": 1.1486, + "step": 641 + }, + { + "epoch": 0.37, + "learning_rate": 9.771779819284257e-06, + "loss": 1.0132, + "step": 642 + }, + { + "epoch": 0.37, + "learning_rate": 9.770846923144565e-06, + "loss": 0.8972, + "step": 643 + }, + { + "epoch": 0.37, + "learning_rate": 9.769912168906124e-06, + "loss": 1.0555, + "step": 644 + }, + { + "epoch": 0.37, + "learning_rate": 9.768975556932991e-06, + "loss": 0.8229, + "step": 645 + }, + { + "epoch": 0.37, + "learning_rate": 9.76803708758995e-06, + "loss": 0.9453, + "step": 646 + }, + { + "epoch": 0.37, + "learning_rate": 9.767096761242503e-06, + "loss": 0.9541, + "step": 647 + }, + { + "epoch": 0.37, + "learning_rate": 9.766154578256883e-06, + "loss": 1.0962, + "step": 648 + }, + { + "epoch": 0.37, + "learning_rate": 9.765210539000036e-06, + "loss": 1.0105, + "step": 649 + }, + { + "epoch": 0.38, + "learning_rate": 9.76426464383964e-06, + "loss": 1.0209, + "step": 650 + }, + { + "epoch": 0.38, + "learning_rate": 9.763316893144092e-06, + "loss": 0.9617, + "step": 651 + }, + { + "epoch": 0.38, + "learning_rate": 9.76236728728251e-06, + "loss": 1.0085, + "step": 652 + }, + { + "epoch": 0.38, + "learning_rate": 9.761415826624737e-06, + "loss": 0.8521, + "step": 653 + }, + { + "epoch": 0.38, + "learning_rate": 9.76046251154134e-06, + "loss": 0.9602, + "step": 654 + }, + { + "epoch": 0.38, + "learning_rate": 9.759507342403604e-06, + "loss": 1.0567, + "step": 655 + }, + { + "epoch": 0.38, + "learning_rate": 9.758550319583537e-06, + "loss": 0.9179, + "step": 656 + }, + { + "epoch": 0.38, + "learning_rate": 9.757591443453872e-06, + "loss": 1.1019, + "step": 657 + }, + { + "epoch": 0.38, + "learning_rate": 9.756630714388062e-06, + "loss": 1.0333, + "step": 658 + }, + { + "epoch": 0.38, + "learning_rate": 9.755668132760281e-06, + "loss": 0.8943, + "step": 659 + }, + { + "epoch": 0.38, + "learning_rate": 9.754703698945425e-06, + "loss": 1.1336, + "step": 660 + }, + { + "epoch": 0.38, + "learning_rate": 9.753737413319109e-06, + "loss": 0.9643, + "step": 661 + }, + { + "epoch": 0.38, + "learning_rate": 9.752769276257676e-06, + "loss": 1.2361, + "step": 662 + }, + { + "epoch": 0.38, + "learning_rate": 9.751799288138184e-06, + "loss": 1.1315, + "step": 663 + }, + { + "epoch": 0.38, + "learning_rate": 9.750827449338414e-06, + "loss": 1.1689, + "step": 664 + }, + { + "epoch": 0.38, + "learning_rate": 9.749853760236866e-06, + "loss": 1.0509, + "step": 665 + }, + { + "epoch": 0.38, + "learning_rate": 9.748878221212763e-06, + "loss": 0.9875, + "step": 666 + }, + { + "epoch": 0.39, + "learning_rate": 9.747900832646047e-06, + "loss": 0.9205, + "step": 667 + }, + { + "epoch": 0.39, + "learning_rate": 9.746921594917382e-06, + "loss": 0.8165, + "step": 668 + }, + { + "epoch": 0.39, + "learning_rate": 9.74594050840815e-06, + "loss": 0.9914, + "step": 669 + }, + { + "epoch": 0.39, + "learning_rate": 9.744957573500455e-06, + "loss": 0.8208, + "step": 670 + }, + { + "epoch": 0.39, + "learning_rate": 9.74397279057712e-06, + "loss": 1.09, + "step": 671 + }, + { + "epoch": 0.39, + "learning_rate": 9.742986160021688e-06, + "loss": 1.0669, + "step": 672 + }, + { + "epoch": 0.39, + "learning_rate": 9.741997682218421e-06, + "loss": 1.0583, + "step": 673 + }, + { + "epoch": 0.39, + "learning_rate": 9.741007357552298e-06, + "loss": 0.9845, + "step": 674 + }, + { + "epoch": 0.39, + "learning_rate": 9.740015186409027e-06, + "loss": 1.0995, + "step": 675 + }, + { + "epoch": 0.39, + "learning_rate": 9.739021169175021e-06, + "loss": 0.9932, + "step": 676 + }, + { + "epoch": 0.39, + "learning_rate": 9.738025306237424e-06, + "loss": 1.0708, + "step": 677 + }, + { + "epoch": 0.39, + "learning_rate": 9.73702759798409e-06, + "loss": 1.0282, + "step": 678 + }, + { + "epoch": 0.39, + "learning_rate": 9.736028044803602e-06, + "loss": 1.0041, + "step": 679 + }, + { + "epoch": 0.39, + "learning_rate": 9.73502664708525e-06, + "loss": 1.0263, + "step": 680 + }, + { + "epoch": 0.39, + "learning_rate": 9.734023405219049e-06, + "loss": 1.0082, + "step": 681 + }, + { + "epoch": 0.39, + "learning_rate": 9.73301831959573e-06, + "loss": 1.0097, + "step": 682 + }, + { + "epoch": 0.39, + "learning_rate": 9.732011390606748e-06, + "loss": 1.0337, + "step": 683 + }, + { + "epoch": 0.4, + "learning_rate": 9.731002618644265e-06, + "loss": 1.0752, + "step": 684 + }, + { + "epoch": 0.4, + "learning_rate": 9.729992004101169e-06, + "loss": 1.1927, + "step": 685 + }, + { + "epoch": 0.4, + "learning_rate": 9.728979547371065e-06, + "loss": 0.9574, + "step": 686 + }, + { + "epoch": 0.4, + "learning_rate": 9.727965248848273e-06, + "loss": 0.9339, + "step": 687 + }, + { + "epoch": 0.4, + "learning_rate": 9.726949108927828e-06, + "loss": 0.9178, + "step": 688 + }, + { + "epoch": 0.4, + "learning_rate": 9.72593112800549e-06, + "loss": 0.9228, + "step": 689 + }, + { + "epoch": 0.4, + "learning_rate": 9.724911306477729e-06, + "loss": 0.952, + "step": 690 + }, + { + "epoch": 0.4, + "learning_rate": 9.723889644741735e-06, + "loss": 0.9064, + "step": 691 + }, + { + "epoch": 0.4, + "learning_rate": 9.722866143195412e-06, + "loss": 0.8325, + "step": 692 + }, + { + "epoch": 0.4, + "learning_rate": 9.721840802237388e-06, + "loss": 0.8084, + "step": 693 + }, + { + "epoch": 0.4, + "learning_rate": 9.720813622266996e-06, + "loss": 1.0438, + "step": 694 + }, + { + "epoch": 0.4, + "learning_rate": 9.719784603684292e-06, + "loss": 0.9741, + "step": 695 + }, + { + "epoch": 0.4, + "learning_rate": 9.71875374689005e-06, + "loss": 1.0801, + "step": 696 + }, + { + "epoch": 0.4, + "learning_rate": 9.717721052285754e-06, + "loss": 1.1121, + "step": 697 + }, + { + "epoch": 0.4, + "learning_rate": 9.716686520273611e-06, + "loss": 0.946, + "step": 698 + }, + { + "epoch": 0.4, + "learning_rate": 9.715650151256534e-06, + "loss": 0.726, + "step": 699 + }, + { + "epoch": 0.4, + "learning_rate": 9.714611945638162e-06, + "loss": 1.1074, + "step": 700 + }, + { + "epoch": 0.4, + "learning_rate": 9.713571903822842e-06, + "loss": 0.9112, + "step": 701 + }, + { + "epoch": 0.41, + "learning_rate": 9.71253002621564e-06, + "loss": 0.9756, + "step": 702 + }, + { + "epoch": 0.41, + "learning_rate": 9.711486313222332e-06, + "loss": 1.1096, + "step": 703 + }, + { + "epoch": 0.41, + "learning_rate": 9.710440765249416e-06, + "loss": 1.0547, + "step": 704 + }, + { + "epoch": 0.41, + "learning_rate": 9.709393382704098e-06, + "loss": 1.0299, + "step": 705 + }, + { + "epoch": 0.41, + "learning_rate": 9.708344165994304e-06, + "loss": 0.9274, + "step": 706 + }, + { + "epoch": 0.41, + "learning_rate": 9.70729311552867e-06, + "loss": 1.0014, + "step": 707 + }, + { + "epoch": 0.41, + "learning_rate": 9.706240231716549e-06, + "loss": 1.0566, + "step": 708 + }, + { + "epoch": 0.41, + "learning_rate": 9.705185514968006e-06, + "loss": 0.8526, + "step": 709 + }, + { + "epoch": 0.41, + "learning_rate": 9.70412896569382e-06, + "loss": 0.9816, + "step": 710 + }, + { + "epoch": 0.41, + "learning_rate": 9.703070584305487e-06, + "loss": 0.9615, + "step": 711 + }, + { + "epoch": 0.41, + "learning_rate": 9.702010371215213e-06, + "loss": 1.0533, + "step": 712 + }, + { + "epoch": 0.41, + "learning_rate": 9.70094832683592e-06, + "loss": 0.9257, + "step": 713 + }, + { + "epoch": 0.41, + "learning_rate": 9.699884451581238e-06, + "loss": 0.9539, + "step": 714 + }, + { + "epoch": 0.41, + "learning_rate": 9.698818745865518e-06, + "loss": 0.8565, + "step": 715 + }, + { + "epoch": 0.41, + "learning_rate": 9.697751210103817e-06, + "loss": 1.0449, + "step": 716 + }, + { + "epoch": 0.41, + "learning_rate": 9.696681844711909e-06, + "loss": 0.9523, + "step": 717 + }, + { + "epoch": 0.41, + "learning_rate": 9.695610650106278e-06, + "loss": 1.0615, + "step": 718 + }, + { + "epoch": 0.42, + "learning_rate": 9.69453762670412e-06, + "loss": 1.004, + "step": 719 + }, + { + "epoch": 0.42, + "learning_rate": 9.693462774923351e-06, + "loss": 1.2029, + "step": 720 + }, + { + "epoch": 0.42, + "learning_rate": 9.692386095182585e-06, + "loss": 0.9176, + "step": 721 + }, + { + "epoch": 0.42, + "learning_rate": 9.691307587901161e-06, + "loss": 0.9886, + "step": 722 + }, + { + "epoch": 0.42, + "learning_rate": 9.690227253499122e-06, + "loss": 1.0573, + "step": 723 + }, + { + "epoch": 0.42, + "learning_rate": 9.689145092397227e-06, + "loss": 0.9027, + "step": 724 + }, + { + "epoch": 0.42, + "learning_rate": 9.688061105016942e-06, + "loss": 1.1269, + "step": 725 + }, + { + "epoch": 0.42, + "learning_rate": 9.686975291780449e-06, + "loss": 0.9658, + "step": 726 + }, + { + "epoch": 0.42, + "learning_rate": 9.68588765311064e-06, + "loss": 0.9108, + "step": 727 + }, + { + "epoch": 0.42, + "learning_rate": 9.684798189431114e-06, + "loss": 1.0141, + "step": 728 + }, + { + "epoch": 0.42, + "learning_rate": 9.683706901166186e-06, + "loss": 1.2133, + "step": 729 + }, + { + "epoch": 0.42, + "learning_rate": 9.682613788740878e-06, + "loss": 1.0399, + "step": 730 + }, + { + "epoch": 0.42, + "learning_rate": 9.681518852580925e-06, + "loss": 0.8892, + "step": 731 + }, + { + "epoch": 0.42, + "learning_rate": 9.68042209311277e-06, + "loss": 1.0292, + "step": 732 + }, + { + "epoch": 0.42, + "learning_rate": 9.679323510763568e-06, + "loss": 1.0511, + "step": 733 + }, + { + "epoch": 0.42, + "learning_rate": 9.678223105961182e-06, + "loss": 1.0881, + "step": 734 + }, + { + "epoch": 0.42, + "learning_rate": 9.677120879134187e-06, + "loss": 1.0328, + "step": 735 + }, + { + "epoch": 0.43, + "learning_rate": 9.676016830711868e-06, + "loss": 0.8984, + "step": 736 + }, + { + "epoch": 0.43, + "learning_rate": 9.674910961124215e-06, + "loss": 1.0944, + "step": 737 + }, + { + "epoch": 0.43, + "learning_rate": 9.67380327080193e-06, + "loss": 0.9009, + "step": 738 + }, + { + "epoch": 0.43, + "learning_rate": 9.67269376017643e-06, + "loss": 1.0113, + "step": 739 + }, + { + "epoch": 0.43, + "learning_rate": 9.671582429679829e-06, + "loss": 1.0413, + "step": 740 + }, + { + "epoch": 0.43, + "learning_rate": 9.670469279744959e-06, + "loss": 0.9889, + "step": 741 + }, + { + "epoch": 0.43, + "learning_rate": 9.669354310805359e-06, + "loss": 0.9766, + "step": 742 + }, + { + "epoch": 0.43, + "learning_rate": 9.668237523295272e-06, + "loss": 0.9172, + "step": 743 + }, + { + "epoch": 0.43, + "learning_rate": 9.667118917649656e-06, + "loss": 1.0089, + "step": 744 + }, + { + "epoch": 0.43, + "learning_rate": 9.665998494304172e-06, + "loss": 0.9186, + "step": 745 + }, + { + "epoch": 0.43, + "learning_rate": 9.66487625369519e-06, + "loss": 0.9578, + "step": 746 + }, + { + "epoch": 0.43, + "learning_rate": 9.66375219625979e-06, + "loss": 1.0808, + "step": 747 + }, + { + "epoch": 0.43, + "learning_rate": 9.662626322435755e-06, + "loss": 0.9492, + "step": 748 + }, + { + "epoch": 0.43, + "learning_rate": 9.661498632661582e-06, + "loss": 0.8191, + "step": 749 + }, + { + "epoch": 0.43, + "learning_rate": 9.660369127376469e-06, + "loss": 0.8447, + "step": 750 + }, + { + "epoch": 0.43, + "learning_rate": 9.659237807020326e-06, + "loss": 1.2476, + "step": 751 + }, + { + "epoch": 0.43, + "learning_rate": 9.658104672033763e-06, + "loss": 0.9947, + "step": 752 + }, + { + "epoch": 0.44, + "learning_rate": 9.656969722858108e-06, + "loss": 1.0914, + "step": 753 + }, + { + "epoch": 0.44, + "learning_rate": 9.655832959935382e-06, + "loss": 0.9976, + "step": 754 + }, + { + "epoch": 0.44, + "learning_rate": 9.654694383708327e-06, + "loss": 1.0859, + "step": 755 + }, + { + "epoch": 0.44, + "learning_rate": 9.653553994620378e-06, + "loss": 1.0485, + "step": 756 + }, + { + "epoch": 0.44, + "learning_rate": 9.652411793115681e-06, + "loss": 0.9869, + "step": 757 + }, + { + "epoch": 0.44, + "learning_rate": 9.651267779639093e-06, + "loss": 1.0297, + "step": 758 + }, + { + "epoch": 0.44, + "learning_rate": 9.650121954636169e-06, + "loss": 1.1313, + "step": 759 + }, + { + "epoch": 0.44, + "learning_rate": 9.648974318553173e-06, + "loss": 0.9502, + "step": 760 + }, + { + "epoch": 0.44, + "learning_rate": 9.647824871837076e-06, + "loss": 1.1985, + "step": 761 + }, + { + "epoch": 0.44, + "learning_rate": 9.64667361493555e-06, + "loss": 0.9875, + "step": 762 + }, + { + "epoch": 0.44, + "learning_rate": 9.645520548296975e-06, + "loss": 0.926, + "step": 763 + }, + { + "epoch": 0.44, + "learning_rate": 9.644365672370437e-06, + "loss": 1.0709, + "step": 764 + }, + { + "epoch": 0.44, + "learning_rate": 9.643208987605722e-06, + "loss": 0.9883, + "step": 765 + }, + { + "epoch": 0.44, + "learning_rate": 9.642050494453323e-06, + "loss": 0.9756, + "step": 766 + }, + { + "epoch": 0.44, + "learning_rate": 9.64089019336444e-06, + "loss": 0.8874, + "step": 767 + }, + { + "epoch": 0.44, + "learning_rate": 9.639728084790976e-06, + "loss": 0.9945, + "step": 768 + }, + { + "epoch": 0.44, + "learning_rate": 9.638564169185532e-06, + "loss": 0.8, + "step": 769 + }, + { + "epoch": 0.44, + "learning_rate": 9.63739844700142e-06, + "loss": 0.9862, + "step": 770 + }, + { + "epoch": 0.45, + "learning_rate": 9.636230918692654e-06, + "loss": 0.8823, + "step": 771 + }, + { + "epoch": 0.45, + "learning_rate": 9.635061584713949e-06, + "loss": 1.0126, + "step": 772 + }, + { + "epoch": 0.45, + "learning_rate": 9.633890445520726e-06, + "loss": 0.9885, + "step": 773 + }, + { + "epoch": 0.45, + "learning_rate": 9.632717501569106e-06, + "loss": 0.978, + "step": 774 + }, + { + "epoch": 0.45, + "learning_rate": 9.631542753315917e-06, + "loss": 0.9951, + "step": 775 + }, + { + "epoch": 0.45, + "learning_rate": 9.630366201218686e-06, + "loss": 0.9718, + "step": 776 + }, + { + "epoch": 0.45, + "learning_rate": 9.629187845735645e-06, + "loss": 0.9921, + "step": 777 + }, + { + "epoch": 0.45, + "learning_rate": 9.628007687325726e-06, + "loss": 1.2403, + "step": 778 + }, + { + "epoch": 0.45, + "learning_rate": 9.626825726448565e-06, + "loss": 0.997, + "step": 779 + }, + { + "epoch": 0.45, + "learning_rate": 9.6256419635645e-06, + "loss": 0.9714, + "step": 780 + }, + { + "epoch": 0.45, + "learning_rate": 9.624456399134571e-06, + "loss": 1.0251, + "step": 781 + }, + { + "epoch": 0.45, + "learning_rate": 9.623269033620518e-06, + "loss": 0.7807, + "step": 782 + }, + { + "epoch": 0.45, + "learning_rate": 9.622079867484785e-06, + "loss": 0.9913, + "step": 783 + }, + { + "epoch": 0.45, + "learning_rate": 9.620888901190513e-06, + "loss": 1.079, + "step": 784 + }, + { + "epoch": 0.45, + "learning_rate": 9.619696135201549e-06, + "loss": 1.0543, + "step": 785 + }, + { + "epoch": 0.45, + "learning_rate": 9.618501569982437e-06, + "loss": 0.8452, + "step": 786 + }, + { + "epoch": 0.45, + "learning_rate": 9.617305205998427e-06, + "loss": 0.9145, + "step": 787 + }, + { + "epoch": 0.46, + "learning_rate": 9.616107043715462e-06, + "loss": 1.1313, + "step": 788 + }, + { + "epoch": 0.46, + "learning_rate": 9.614907083600191e-06, + "loss": 0.9158, + "step": 789 + }, + { + "epoch": 0.46, + "learning_rate": 9.613705326119964e-06, + "loss": 0.9069, + "step": 790 + }, + { + "epoch": 0.46, + "learning_rate": 9.612501771742825e-06, + "loss": 1.16, + "step": 791 + }, + { + "epoch": 0.46, + "learning_rate": 9.611296420937526e-06, + "loss": 0.8531, + "step": 792 + }, + { + "epoch": 0.46, + "learning_rate": 9.61008927417351e-06, + "loss": 1.0885, + "step": 793 + }, + { + "epoch": 0.46, + "learning_rate": 9.608880331920927e-06, + "loss": 1.2345, + "step": 794 + }, + { + "epoch": 0.46, + "learning_rate": 9.60766959465062e-06, + "loss": 1.0343, + "step": 795 + }, + { + "epoch": 0.46, + "learning_rate": 9.606457062834137e-06, + "loss": 0.8784, + "step": 796 + }, + { + "epoch": 0.46, + "learning_rate": 9.605242736943718e-06, + "loss": 0.9922, + "step": 797 + }, + { + "epoch": 0.46, + "learning_rate": 9.60402661745231e-06, + "loss": 1.0144, + "step": 798 + }, + { + "epoch": 0.46, + "learning_rate": 9.602808704833553e-06, + "loss": 0.9958, + "step": 799 + }, + { + "epoch": 0.46, + "learning_rate": 9.601588999561784e-06, + "loss": 0.8585, + "step": 800 + }, + { + "epoch": 0.46, + "learning_rate": 9.600367502112044e-06, + "loss": 1.0404, + "step": 801 + }, + { + "epoch": 0.46, + "learning_rate": 9.59914421296007e-06, + "loss": 0.9155, + "step": 802 + }, + { + "epoch": 0.46, + "learning_rate": 9.59791913258229e-06, + "loss": 0.9832, + "step": 803 + }, + { + "epoch": 0.46, + "learning_rate": 9.59669226145584e-06, + "loss": 1.0073, + "step": 804 + }, + { + "epoch": 0.47, + "learning_rate": 9.595463600058547e-06, + "loss": 0.9705, + "step": 805 + }, + { + "epoch": 0.47, + "learning_rate": 9.59423314886894e-06, + "loss": 0.8102, + "step": 806 + }, + { + "epoch": 0.47, + "learning_rate": 9.593000908366238e-06, + "loss": 0.9577, + "step": 807 + }, + { + "epoch": 0.47, + "learning_rate": 9.591766879030363e-06, + "loss": 0.9902, + "step": 808 + }, + { + "epoch": 0.47, + "learning_rate": 9.59053106134193e-06, + "loss": 1.0644, + "step": 809 + }, + { + "epoch": 0.47, + "learning_rate": 9.589293455782253e-06, + "loss": 0.9131, + "step": 810 + }, + { + "epoch": 0.47, + "learning_rate": 9.588054062833343e-06, + "loss": 0.9156, + "step": 811 + }, + { + "epoch": 0.47, + "learning_rate": 9.586812882977902e-06, + "loss": 0.9358, + "step": 812 + }, + { + "epoch": 0.47, + "learning_rate": 9.585569916699337e-06, + "loss": 1.0515, + "step": 813 + }, + { + "epoch": 0.47, + "learning_rate": 9.58432516448174e-06, + "loss": 0.7793, + "step": 814 + }, + { + "epoch": 0.47, + "learning_rate": 9.583078626809907e-06, + "loss": 1.1331, + "step": 815 + }, + { + "epoch": 0.47, + "learning_rate": 9.581830304169325e-06, + "loss": 1.082, + "step": 816 + }, + { + "epoch": 0.47, + "learning_rate": 9.580580197046177e-06, + "loss": 1.0717, + "step": 817 + }, + { + "epoch": 0.47, + "learning_rate": 9.579328305927343e-06, + "loss": 0.9437, + "step": 818 + }, + { + "epoch": 0.47, + "learning_rate": 9.578074631300396e-06, + "loss": 1.0494, + "step": 819 + }, + { + "epoch": 0.47, + "learning_rate": 9.576819173653602e-06, + "loss": 0.9864, + "step": 820 + }, + { + "epoch": 0.47, + "learning_rate": 9.575561933475926e-06, + "loss": 1.0391, + "step": 821 + }, + { + "epoch": 0.47, + "learning_rate": 9.574302911257021e-06, + "loss": 0.8389, + "step": 822 + }, + { + "epoch": 0.48, + "learning_rate": 9.57304210748724e-06, + "loss": 0.8811, + "step": 823 + }, + { + "epoch": 0.48, + "learning_rate": 9.571779522657628e-06, + "loss": 0.935, + "step": 824 + }, + { + "epoch": 0.48, + "learning_rate": 9.57051515725992e-06, + "loss": 0.9695, + "step": 825 + }, + { + "epoch": 0.48, + "learning_rate": 9.569249011786552e-06, + "loss": 0.963, + "step": 826 + }, + { + "epoch": 0.48, + "learning_rate": 9.567981086730646e-06, + "loss": 1.0503, + "step": 827 + }, + { + "epoch": 0.48, + "learning_rate": 9.566711382586022e-06, + "loss": 0.8755, + "step": 828 + }, + { + "epoch": 0.48, + "learning_rate": 9.565439899847188e-06, + "loss": 1.0427, + "step": 829 + }, + { + "epoch": 0.48, + "learning_rate": 9.564166639009351e-06, + "loss": 0.962, + "step": 830 + }, + { + "epoch": 0.48, + "learning_rate": 9.562891600568403e-06, + "loss": 0.783, + "step": 831 + }, + { + "epoch": 0.48, + "learning_rate": 9.561614785020937e-06, + "loss": 1.0365, + "step": 832 + }, + { + "epoch": 0.48, + "learning_rate": 9.560336192864227e-06, + "loss": 0.9486, + "step": 833 + }, + { + "epoch": 0.48, + "learning_rate": 9.559055824596252e-06, + "loss": 1.1212, + "step": 834 + }, + { + "epoch": 0.48, + "learning_rate": 9.557773680715676e-06, + "loss": 0.8548, + "step": 835 + }, + { + "epoch": 0.48, + "learning_rate": 9.55648976172185e-06, + "loss": 1.0733, + "step": 836 + }, + { + "epoch": 0.48, + "learning_rate": 9.555204068114826e-06, + "loss": 0.8152, + "step": 837 + }, + { + "epoch": 0.48, + "learning_rate": 9.55391660039534e-06, + "loss": 0.9988, + "step": 838 + }, + { + "epoch": 0.48, + "learning_rate": 9.55262735906482e-06, + "loss": 1.0423, + "step": 839 + }, + { + "epoch": 0.49, + "learning_rate": 9.551336344625387e-06, + "loss": 0.8871, + "step": 840 + }, + { + "epoch": 0.49, + "learning_rate": 9.55004355757985e-06, + "loss": 0.7791, + "step": 841 + }, + { + "epoch": 0.49, + "learning_rate": 9.548748998431715e-06, + "loss": 0.7771, + "step": 842 + }, + { + "epoch": 0.49, + "learning_rate": 9.54745266768517e-06, + "loss": 0.8488, + "step": 843 + }, + { + "epoch": 0.49, + "learning_rate": 9.546154565845095e-06, + "loss": 0.8832, + "step": 844 + }, + { + "epoch": 0.49, + "learning_rate": 9.544854693417061e-06, + "loss": 1.1125, + "step": 845 + }, + { + "epoch": 0.49, + "learning_rate": 9.543553050907332e-06, + "loss": 1.114, + "step": 846 + }, + { + "epoch": 0.49, + "learning_rate": 9.542249638822854e-06, + "loss": 1.1414, + "step": 847 + }, + { + "epoch": 0.49, + "learning_rate": 9.540944457671267e-06, + "loss": 0.8935, + "step": 848 + }, + { + "epoch": 0.49, + "learning_rate": 9.5396375079609e-06, + "loss": 0.9468, + "step": 849 + }, + { + "epoch": 0.49, + "learning_rate": 9.53832879020077e-06, + "loss": 0.8347, + "step": 850 + }, + { + "epoch": 0.49, + "learning_rate": 9.537018304900583e-06, + "loss": 1.0666, + "step": 851 + }, + { + "epoch": 0.49, + "learning_rate": 9.53570605257073e-06, + "loss": 0.9733, + "step": 852 + }, + { + "epoch": 0.49, + "learning_rate": 9.534392033722295e-06, + "loss": 1.0, + "step": 853 + }, + { + "epoch": 0.49, + "learning_rate": 9.533076248867048e-06, + "loss": 1.1306, + "step": 854 + }, + { + "epoch": 0.49, + "learning_rate": 9.531758698517449e-06, + "loss": 0.9219, + "step": 855 + }, + { + "epoch": 0.49, + "learning_rate": 9.530439383186637e-06, + "loss": 1.0814, + "step": 856 + }, + { + "epoch": 0.5, + "learning_rate": 9.529118303388454e-06, + "loss": 1.184, + "step": 857 + }, + { + "epoch": 0.5, + "learning_rate": 9.527795459637413e-06, + "loss": 0.9596, + "step": 858 + }, + { + "epoch": 0.5, + "learning_rate": 9.526470852448724e-06, + "loss": 0.9735, + "step": 859 + }, + { + "epoch": 0.5, + "learning_rate": 9.52514448233828e-06, + "loss": 0.9911, + "step": 860 + }, + { + "epoch": 0.5, + "learning_rate": 9.523816349822663e-06, + "loss": 0.8469, + "step": 861 + }, + { + "epoch": 0.5, + "learning_rate": 9.522486455419137e-06, + "loss": 0.9735, + "step": 862 + }, + { + "epoch": 0.5, + "learning_rate": 9.52115479964566e-06, + "loss": 1.026, + "step": 863 + }, + { + "epoch": 0.5, + "learning_rate": 9.519821383020866e-06, + "loss": 1.0261, + "step": 864 + }, + { + "epoch": 0.5, + "learning_rate": 9.518486206064084e-06, + "loss": 1.1446, + "step": 865 + }, + { + "epoch": 0.5, + "learning_rate": 9.517149269295321e-06, + "loss": 0.9989, + "step": 866 + }, + { + "epoch": 0.5, + "learning_rate": 9.515810573235275e-06, + "loss": 1.113, + "step": 867 + }, + { + "epoch": 0.5, + "learning_rate": 9.514470118405328e-06, + "loss": 0.8882, + "step": 868 + }, + { + "epoch": 0.5, + "learning_rate": 9.513127905327545e-06, + "loss": 1.076, + "step": 869 + }, + { + "epoch": 0.5, + "learning_rate": 9.511783934524674e-06, + "loss": 0.9609, + "step": 870 + }, + { + "epoch": 0.5, + "learning_rate": 9.510438206520155e-06, + "loss": 0.9213, + "step": 871 + }, + { + "epoch": 0.5, + "learning_rate": 9.509090721838106e-06, + "loss": 0.9279, + "step": 872 + }, + { + "epoch": 0.5, + "learning_rate": 9.50774148100333e-06, + "loss": 1.0727, + "step": 873 + }, + { + "epoch": 0.5, + "learning_rate": 9.506390484541317e-06, + "loss": 0.9794, + "step": 874 + }, + { + "epoch": 0.51, + "learning_rate": 9.505037732978237e-06, + "loss": 0.9279, + "step": 875 + }, + { + "epoch": 0.51, + "learning_rate": 9.503683226840948e-06, + "loss": 1.064, + "step": 876 + }, + { + "epoch": 0.51, + "learning_rate": 9.502326966656984e-06, + "loss": 1.0275, + "step": 877 + }, + { + "epoch": 0.51, + "learning_rate": 9.500968952954572e-06, + "loss": 1.0561, + "step": 878 + }, + { + "epoch": 0.51, + "learning_rate": 9.499609186262612e-06, + "loss": 1.0854, + "step": 879 + }, + { + "epoch": 0.51, + "learning_rate": 9.498247667110696e-06, + "loss": 1.1747, + "step": 880 + }, + { + "epoch": 0.51, + "learning_rate": 9.49688439602909e-06, + "loss": 1.029, + "step": 881 + }, + { + "epoch": 0.51, + "learning_rate": 9.495519373548748e-06, + "loss": 0.8993, + "step": 882 + }, + { + "epoch": 0.51, + "learning_rate": 9.494152600201306e-06, + "loss": 0.8862, + "step": 883 + }, + { + "epoch": 0.51, + "learning_rate": 9.492784076519077e-06, + "loss": 0.9915, + "step": 884 + }, + { + "epoch": 0.51, + "learning_rate": 9.491413803035062e-06, + "loss": 1.1195, + "step": 885 + }, + { + "epoch": 0.51, + "learning_rate": 9.490041780282939e-06, + "loss": 0.987, + "step": 886 + }, + { + "epoch": 0.51, + "learning_rate": 9.488668008797071e-06, + "loss": 1.1364, + "step": 887 + }, + { + "epoch": 0.51, + "learning_rate": 9.487292489112497e-06, + "loss": 1.0206, + "step": 888 + }, + { + "epoch": 0.51, + "learning_rate": 9.48591522176494e-06, + "loss": 1.0684, + "step": 889 + }, + { + "epoch": 0.51, + "learning_rate": 9.484536207290804e-06, + "loss": 0.7775, + "step": 890 + }, + { + "epoch": 0.51, + "learning_rate": 9.483155446227176e-06, + "loss": 1.0717, + "step": 891 + }, + { + "epoch": 0.52, + "learning_rate": 9.481772939111815e-06, + "loss": 1.0833, + "step": 892 + }, + { + "epoch": 0.52, + "learning_rate": 9.48038868648317e-06, + "loss": 1.0001, + "step": 893 + }, + { + "epoch": 0.52, + "learning_rate": 9.479002688880362e-06, + "loss": 0.8678, + "step": 894 + }, + { + "epoch": 0.52, + "learning_rate": 9.477614946843194e-06, + "loss": 0.9319, + "step": 895 + }, + { + "epoch": 0.52, + "learning_rate": 9.47622546091215e-06, + "loss": 1.0058, + "step": 896 + }, + { + "epoch": 0.52, + "learning_rate": 9.474834231628394e-06, + "loss": 1.0518, + "step": 897 + }, + { + "epoch": 0.52, + "learning_rate": 9.473441259533765e-06, + "loss": 0.9858, + "step": 898 + }, + { + "epoch": 0.52, + "learning_rate": 9.472046545170784e-06, + "loss": 0.9304, + "step": 899 + }, + { + "epoch": 0.52, + "learning_rate": 9.470650089082649e-06, + "loss": 0.9344, + "step": 900 + }, + { + "epoch": 0.52, + "learning_rate": 9.469251891813238e-06, + "loss": 1.0551, + "step": 901 + }, + { + "epoch": 0.52, + "learning_rate": 9.467851953907103e-06, + "loss": 0.8394, + "step": 902 + }, + { + "epoch": 0.52, + "learning_rate": 9.466450275909481e-06, + "loss": 0.9246, + "step": 903 + }, + { + "epoch": 0.52, + "learning_rate": 9.46504685836628e-06, + "loss": 1.1245, + "step": 904 + }, + { + "epoch": 0.52, + "learning_rate": 9.46364170182409e-06, + "loss": 1.042, + "step": 905 + }, + { + "epoch": 0.52, + "learning_rate": 9.462234806830172e-06, + "loss": 0.9936, + "step": 906 + }, + { + "epoch": 0.52, + "learning_rate": 9.460826173932475e-06, + "loss": 1.045, + "step": 907 + }, + { + "epoch": 0.52, + "learning_rate": 9.459415803679613e-06, + "loss": 0.9055, + "step": 908 + }, + { + "epoch": 0.53, + "learning_rate": 9.458003696620885e-06, + "loss": 0.8422, + "step": 909 + }, + { + "epoch": 0.53, + "learning_rate": 9.456589853306263e-06, + "loss": 0.9626, + "step": 910 + }, + { + "epoch": 0.53, + "learning_rate": 9.455174274286396e-06, + "loss": 0.9061, + "step": 911 + }, + { + "epoch": 0.53, + "learning_rate": 9.453756960112605e-06, + "loss": 1.0182, + "step": 912 + }, + { + "epoch": 0.53, + "learning_rate": 9.452337911336896e-06, + "loss": 0.9314, + "step": 913 + }, + { + "epoch": 0.53, + "learning_rate": 9.450917128511942e-06, + "loss": 0.9824, + "step": 914 + }, + { + "epoch": 0.53, + "learning_rate": 9.449494612191094e-06, + "loss": 1.0699, + "step": 915 + }, + { + "epoch": 0.53, + "learning_rate": 9.44807036292838e-06, + "loss": 0.9369, + "step": 916 + }, + { + "epoch": 0.53, + "learning_rate": 9.4466443812785e-06, + "loss": 1.0849, + "step": 917 + }, + { + "epoch": 0.53, + "learning_rate": 9.445216667796833e-06, + "loss": 1.0361, + "step": 918 + }, + { + "epoch": 0.53, + "learning_rate": 9.443787223039425e-06, + "loss": 1.0555, + "step": 919 + }, + { + "epoch": 0.53, + "learning_rate": 9.442356047563007e-06, + "loss": 1.0686, + "step": 920 + }, + { + "epoch": 0.53, + "learning_rate": 9.44092314192497e-06, + "loss": 1.0136, + "step": 921 + }, + { + "epoch": 0.53, + "learning_rate": 9.439488506683393e-06, + "loss": 1.0277, + "step": 922 + }, + { + "epoch": 0.53, + "learning_rate": 9.438052142397024e-06, + "loss": 1.0419, + "step": 923 + }, + { + "epoch": 0.53, + "learning_rate": 9.436614049625277e-06, + "loss": 0.9637, + "step": 924 + }, + { + "epoch": 0.53, + "learning_rate": 9.435174228928248e-06, + "loss": 0.9622, + "step": 925 + }, + { + "epoch": 0.53, + "learning_rate": 9.433732680866704e-06, + "loss": 0.8612, + "step": 926 + }, + { + "epoch": 0.54, + "learning_rate": 9.432289406002085e-06, + "loss": 1.1018, + "step": 927 + }, + { + "epoch": 0.54, + "learning_rate": 9.430844404896496e-06, + "loss": 0.9159, + "step": 928 + }, + { + "epoch": 0.54, + "learning_rate": 9.429397678112726e-06, + "loss": 0.992, + "step": 929 + }, + { + "epoch": 0.54, + "learning_rate": 9.42794922621423e-06, + "loss": 1.0421, + "step": 930 + }, + { + "epoch": 0.54, + "learning_rate": 9.426499049765136e-06, + "loss": 0.8513, + "step": 931 + }, + { + "epoch": 0.54, + "learning_rate": 9.425047149330242e-06, + "loss": 0.9309, + "step": 932 + }, + { + "epoch": 0.54, + "learning_rate": 9.423593525475019e-06, + "loss": 0.9437, + "step": 933 + }, + { + "epoch": 0.54, + "learning_rate": 9.42213817876561e-06, + "loss": 1.0481, + "step": 934 + }, + { + "epoch": 0.54, + "learning_rate": 9.420681109768827e-06, + "loss": 1.0543, + "step": 935 + }, + { + "epoch": 0.54, + "learning_rate": 9.419222319052154e-06, + "loss": 0.7497, + "step": 936 + }, + { + "epoch": 0.54, + "learning_rate": 9.417761807183745e-06, + "loss": 0.9544, + "step": 937 + }, + { + "epoch": 0.54, + "learning_rate": 9.416299574732425e-06, + "loss": 1.067, + "step": 938 + }, + { + "epoch": 0.54, + "learning_rate": 9.414835622267689e-06, + "loss": 1.0091, + "step": 939 + }, + { + "epoch": 0.54, + "learning_rate": 9.4133699503597e-06, + "loss": 1.1458, + "step": 940 + }, + { + "epoch": 0.54, + "learning_rate": 9.411902559579295e-06, + "loss": 1.0347, + "step": 941 + }, + { + "epoch": 0.54, + "learning_rate": 9.410433450497977e-06, + "loss": 1.003, + "step": 942 + }, + { + "epoch": 0.54, + "learning_rate": 9.408962623687918e-06, + "loss": 0.7984, + "step": 943 + }, + { + "epoch": 0.55, + "learning_rate": 9.407490079721959e-06, + "loss": 1.0298, + "step": 944 + }, + { + "epoch": 0.55, + "learning_rate": 9.406015819173614e-06, + "loss": 0.9763, + "step": 945 + }, + { + "epoch": 0.55, + "learning_rate": 9.404539842617059e-06, + "loss": 0.9516, + "step": 946 + }, + { + "epoch": 0.55, + "learning_rate": 9.403062150627145e-06, + "loss": 1.0415, + "step": 947 + }, + { + "epoch": 0.55, + "learning_rate": 9.401582743779384e-06, + "loss": 0.8496, + "step": 948 + }, + { + "epoch": 0.55, + "learning_rate": 9.400101622649962e-06, + "loss": 0.8754, + "step": 949 + }, + { + "epoch": 0.55, + "learning_rate": 9.398618787815731e-06, + "loss": 0.9275, + "step": 950 + }, + { + "epoch": 0.55, + "learning_rate": 9.39713423985421e-06, + "loss": 1.0016, + "step": 951 + }, + { + "epoch": 0.55, + "learning_rate": 9.39564797934358e-06, + "loss": 0.9654, + "step": 952 + }, + { + "epoch": 0.55, + "learning_rate": 9.394160006862698e-06, + "loss": 0.9456, + "step": 953 + }, + { + "epoch": 0.55, + "learning_rate": 9.392670322991085e-06, + "loss": 0.971, + "step": 954 + }, + { + "epoch": 0.55, + "learning_rate": 9.391178928308925e-06, + "loss": 1.1241, + "step": 955 + }, + { + "epoch": 0.55, + "learning_rate": 9.38968582339707e-06, + "loss": 1.0109, + "step": 956 + }, + { + "epoch": 0.55, + "learning_rate": 9.388191008837042e-06, + "loss": 1.0672, + "step": 957 + }, + { + "epoch": 0.55, + "learning_rate": 9.386694485211021e-06, + "loss": 1.0224, + "step": 958 + }, + { + "epoch": 0.55, + "learning_rate": 9.385196253101861e-06, + "loss": 0.9187, + "step": 959 + }, + { + "epoch": 0.55, + "learning_rate": 9.383696313093073e-06, + "loss": 1.1279, + "step": 960 + }, + { + "epoch": 0.56, + "learning_rate": 9.382194665768844e-06, + "loss": 0.8455, + "step": 961 + }, + { + "epoch": 0.56, + "learning_rate": 9.380691311714013e-06, + "loss": 0.9372, + "step": 962 + }, + { + "epoch": 0.56, + "learning_rate": 9.379186251514096e-06, + "loss": 0.9143, + "step": 963 + }, + { + "epoch": 0.56, + "learning_rate": 9.377679485755265e-06, + "loss": 0.9776, + "step": 964 + }, + { + "epoch": 0.56, + "learning_rate": 9.376171015024358e-06, + "loss": 0.9982, + "step": 965 + }, + { + "epoch": 0.56, + "learning_rate": 9.374660839908881e-06, + "loss": 0.8045, + "step": 966 + }, + { + "epoch": 0.56, + "learning_rate": 9.373148960996998e-06, + "loss": 0.9794, + "step": 967 + }, + { + "epoch": 0.56, + "learning_rate": 9.371635378877542e-06, + "loss": 1.0392, + "step": 968 + }, + { + "epoch": 0.56, + "learning_rate": 9.370120094140006e-06, + "loss": 0.9256, + "step": 969 + }, + { + "epoch": 0.56, + "learning_rate": 9.368603107374547e-06, + "loss": 0.9179, + "step": 970 + }, + { + "epoch": 0.56, + "learning_rate": 9.367084419171984e-06, + "loss": 0.9725, + "step": 971 + }, + { + "epoch": 0.56, + "learning_rate": 9.365564030123802e-06, + "loss": 0.9556, + "step": 972 + }, + { + "epoch": 0.56, + "learning_rate": 9.364041940822143e-06, + "loss": 0.9437, + "step": 973 + }, + { + "epoch": 0.56, + "learning_rate": 9.362518151859816e-06, + "loss": 1.047, + "step": 974 + }, + { + "epoch": 0.56, + "learning_rate": 9.360992663830289e-06, + "loss": 0.8546, + "step": 975 + }, + { + "epoch": 0.56, + "learning_rate": 9.359465477327694e-06, + "loss": 1.1282, + "step": 976 + }, + { + "epoch": 0.56, + "learning_rate": 9.357936592946823e-06, + "loss": 1.0022, + "step": 977 + }, + { + "epoch": 0.57, + "learning_rate": 9.356406011283128e-06, + "loss": 0.9689, + "step": 978 + }, + { + "epoch": 0.57, + "learning_rate": 9.354873732932727e-06, + "loss": 0.8217, + "step": 979 + }, + { + "epoch": 0.57, + "learning_rate": 9.353339758492394e-06, + "loss": 1.0406, + "step": 980 + }, + { + "epoch": 0.57, + "learning_rate": 9.351804088559565e-06, + "loss": 1.1586, + "step": 981 + }, + { + "epoch": 0.57, + "learning_rate": 9.350266723732333e-06, + "loss": 1.0181, + "step": 982 + }, + { + "epoch": 0.57, + "learning_rate": 9.34872766460946e-06, + "loss": 0.962, + "step": 983 + }, + { + "epoch": 0.57, + "learning_rate": 9.34718691179036e-06, + "loss": 0.9141, + "step": 984 + }, + { + "epoch": 0.57, + "learning_rate": 9.345644465875108e-06, + "loss": 0.8637, + "step": 985 + }, + { + "epoch": 0.57, + "learning_rate": 9.344100327464441e-06, + "loss": 0.9987, + "step": 986 + }, + { + "epoch": 0.57, + "learning_rate": 9.342554497159753e-06, + "loss": 1.1295, + "step": 987 + }, + { + "epoch": 0.57, + "learning_rate": 9.341006975563098e-06, + "loss": 0.8159, + "step": 988 + }, + { + "epoch": 0.57, + "learning_rate": 9.339457763277188e-06, + "loss": 1.0408, + "step": 989 + }, + { + "epoch": 0.57, + "learning_rate": 9.337906860905394e-06, + "loss": 1.1985, + "step": 990 + }, + { + "epoch": 0.57, + "learning_rate": 9.336354269051744e-06, + "loss": 0.9744, + "step": 991 + }, + { + "epoch": 0.57, + "learning_rate": 9.334799988320926e-06, + "loss": 1.0857, + "step": 992 + }, + { + "epoch": 0.57, + "learning_rate": 9.333244019318283e-06, + "loss": 1.0269, + "step": 993 + }, + { + "epoch": 0.57, + "learning_rate": 9.331686362649819e-06, + "loss": 0.9672, + "step": 994 + }, + { + "epoch": 0.57, + "learning_rate": 9.330127018922195e-06, + "loss": 0.9154, + "step": 995 + }, + { + "epoch": 0.58, + "learning_rate": 9.328565988742723e-06, + "loss": 1.0965, + "step": 996 + }, + { + "epoch": 0.58, + "learning_rate": 9.327003272719382e-06, + "loss": 0.9059, + "step": 997 + }, + { + "epoch": 0.58, + "learning_rate": 9.325438871460798e-06, + "loss": 0.9214, + "step": 998 + }, + { + "epoch": 0.58, + "learning_rate": 9.323872785576257e-06, + "loss": 1.0141, + "step": 999 + }, + { + "epoch": 0.58, + "learning_rate": 9.322305015675706e-06, + "loss": 0.9246, + "step": 1000 + }, + { + "epoch": 0.58, + "eval_loss": 1.1130287647247314, + "eval_runtime": 89.4192, + "eval_samples_per_second": 17.245, + "eval_steps_per_second": 2.158, + "step": 1000 + }, + { + "epoch": 0.58, + "learning_rate": 9.320735562369739e-06, + "loss": 1.0262, + "step": 1001 + }, + { + "epoch": 0.58, + "learning_rate": 9.31916442626961e-06, + "loss": 0.9005, + "step": 1002 + }, + { + "epoch": 0.58, + "learning_rate": 9.317591607987233e-06, + "loss": 0.9305, + "step": 1003 + }, + { + "epoch": 0.58, + "learning_rate": 9.316017108135167e-06, + "loss": 1.0341, + "step": 1004 + }, + { + "epoch": 0.58, + "learning_rate": 9.314440927326635e-06, + "loss": 1.0179, + "step": 1005 + }, + { + "epoch": 0.58, + "learning_rate": 9.31286306617551e-06, + "loss": 0.8485, + "step": 1006 + }, + { + "epoch": 0.58, + "learning_rate": 9.31128352529632e-06, + "loss": 0.9813, + "step": 1007 + }, + { + "epoch": 0.58, + "learning_rate": 9.30970230530425e-06, + "loss": 1.0792, + "step": 1008 + }, + { + "epoch": 0.58, + "learning_rate": 9.308119406815132e-06, + "loss": 1.024, + "step": 1009 + }, + { + "epoch": 0.58, + "learning_rate": 9.306534830445462e-06, + "loss": 0.9247, + "step": 1010 + }, + { + "epoch": 0.58, + "learning_rate": 9.30494857681238e-06, + "loss": 1.0072, + "step": 1011 + }, + { + "epoch": 0.58, + "learning_rate": 9.303360646533686e-06, + "loss": 0.9068, + "step": 1012 + }, + { + "epoch": 0.59, + "learning_rate": 9.30177104022783e-06, + "loss": 0.9445, + "step": 1013 + }, + { + "epoch": 0.59, + "learning_rate": 9.300179758513912e-06, + "loss": 0.8823, + "step": 1014 + }, + { + "epoch": 0.59, + "learning_rate": 9.29858680201169e-06, + "loss": 0.927, + "step": 1015 + }, + { + "epoch": 0.59, + "learning_rate": 9.296992171341573e-06, + "loss": 0.8278, + "step": 1016 + }, + { + "epoch": 0.59, + "learning_rate": 9.295395867124617e-06, + "loss": 1.1282, + "step": 1017 + }, + { + "epoch": 0.59, + "learning_rate": 9.293797889982535e-06, + "loss": 0.8373, + "step": 1018 + }, + { + "epoch": 0.59, + "learning_rate": 9.292198240537692e-06, + "loss": 1.0767, + "step": 1019 + }, + { + "epoch": 0.59, + "learning_rate": 9.290596919413101e-06, + "loss": 0.9809, + "step": 1020 + }, + { + "epoch": 0.59, + "learning_rate": 9.288993927232428e-06, + "loss": 0.9832, + "step": 1021 + }, + { + "epoch": 0.59, + "learning_rate": 9.287389264619988e-06, + "loss": 0.9975, + "step": 1022 + }, + { + "epoch": 0.59, + "learning_rate": 9.28578293220075e-06, + "loss": 0.989, + "step": 1023 + }, + { + "epoch": 0.59, + "learning_rate": 9.28417493060033e-06, + "loss": 1.0948, + "step": 1024 + }, + { + "epoch": 0.59, + "learning_rate": 9.282565260444997e-06, + "loss": 0.9299, + "step": 1025 + }, + { + "epoch": 0.59, + "learning_rate": 9.280953922361667e-06, + "loss": 1.0251, + "step": 1026 + }, + { + "epoch": 0.59, + "learning_rate": 9.279340916977905e-06, + "loss": 0.925, + "step": 1027 + }, + { + "epoch": 0.59, + "learning_rate": 9.27772624492193e-06, + "loss": 1.0595, + "step": 1028 + }, + { + "epoch": 0.59, + "learning_rate": 9.276109906822606e-06, + "loss": 0.9993, + "step": 1029 + }, + { + "epoch": 0.6, + "learning_rate": 9.274491903309446e-06, + "loss": 1.1356, + "step": 1030 + }, + { + "epoch": 0.6, + "learning_rate": 9.272872235012616e-06, + "loss": 0.9312, + "step": 1031 + }, + { + "epoch": 0.6, + "learning_rate": 9.271250902562925e-06, + "loss": 1.0092, + "step": 1032 + }, + { + "epoch": 0.6, + "learning_rate": 9.269627906591832e-06, + "loss": 0.9611, + "step": 1033 + }, + { + "epoch": 0.6, + "learning_rate": 9.268003247731446e-06, + "loss": 1.1149, + "step": 1034 + }, + { + "epoch": 0.6, + "learning_rate": 9.266376926614521e-06, + "loss": 0.8319, + "step": 1035 + }, + { + "epoch": 0.6, + "learning_rate": 9.264748943874459e-06, + "loss": 0.9669, + "step": 1036 + }, + { + "epoch": 0.6, + "learning_rate": 9.26311930014531e-06, + "loss": 0.718, + "step": 1037 + }, + { + "epoch": 0.6, + "learning_rate": 9.26148799606177e-06, + "loss": 1.0643, + "step": 1038 + }, + { + "epoch": 0.6, + "learning_rate": 9.25985503225918e-06, + "loss": 1.0405, + "step": 1039 + }, + { + "epoch": 0.6, + "learning_rate": 9.258220409373531e-06, + "loss": 0.9853, + "step": 1040 + }, + { + "epoch": 0.6, + "learning_rate": 9.256584128041461e-06, + "loss": 1.0318, + "step": 1041 + }, + { + "epoch": 0.6, + "learning_rate": 9.254946188900247e-06, + "loss": 1.0672, + "step": 1042 + }, + { + "epoch": 0.6, + "learning_rate": 9.253306592587819e-06, + "loss": 0.9124, + "step": 1043 + }, + { + "epoch": 0.6, + "learning_rate": 9.251665339742751e-06, + "loss": 1.0134, + "step": 1044 + }, + { + "epoch": 0.6, + "learning_rate": 9.250022431004256e-06, + "loss": 0.9459, + "step": 1045 + }, + { + "epoch": 0.6, + "learning_rate": 9.248377867012201e-06, + "loss": 1.0033, + "step": 1046 + }, + { + "epoch": 0.6, + "learning_rate": 9.24673164840709e-06, + "loss": 0.9705, + "step": 1047 + }, + { + "epoch": 0.61, + "learning_rate": 9.245083775830078e-06, + "loss": 0.9757, + "step": 1048 + }, + { + "epoch": 0.61, + "learning_rate": 9.243434249922956e-06, + "loss": 0.9737, + "step": 1049 + }, + { + "epoch": 0.61, + "learning_rate": 9.24178307132817e-06, + "loss": 1.0314, + "step": 1050 + }, + { + "epoch": 0.61, + "learning_rate": 9.2401302406888e-06, + "loss": 1.0993, + "step": 1051 + }, + { + "epoch": 0.61, + "learning_rate": 9.238475758648572e-06, + "loss": 0.9867, + "step": 1052 + }, + { + "epoch": 0.61, + "learning_rate": 9.236819625851858e-06, + "loss": 0.9707, + "step": 1053 + }, + { + "epoch": 0.61, + "learning_rate": 9.235161842943671e-06, + "loss": 0.9254, + "step": 1054 + }, + { + "epoch": 0.61, + "learning_rate": 9.233502410569666e-06, + "loss": 1.0468, + "step": 1055 + }, + { + "epoch": 0.61, + "learning_rate": 9.231841329376142e-06, + "loss": 0.8706, + "step": 1056 + }, + { + "epoch": 0.61, + "learning_rate": 9.230178600010039e-06, + "loss": 0.9673, + "step": 1057 + }, + { + "epoch": 0.61, + "learning_rate": 9.228514223118936e-06, + "loss": 0.976, + "step": 1058 + }, + { + "epoch": 0.61, + "learning_rate": 9.22684819935106e-06, + "loss": 0.8862, + "step": 1059 + }, + { + "epoch": 0.61, + "learning_rate": 9.225180529355275e-06, + "loss": 1.013, + "step": 1060 + }, + { + "epoch": 0.61, + "learning_rate": 9.223511213781091e-06, + "loss": 0.9399, + "step": 1061 + }, + { + "epoch": 0.61, + "learning_rate": 9.22184025327865e-06, + "loss": 1.0251, + "step": 1062 + }, + { + "epoch": 0.61, + "learning_rate": 9.220167648498743e-06, + "loss": 1.0655, + "step": 1063 + }, + { + "epoch": 0.61, + "learning_rate": 9.218493400092796e-06, + "loss": 1.0431, + "step": 1064 + }, + { + "epoch": 0.62, + "learning_rate": 9.216817508712882e-06, + "loss": 1.0286, + "step": 1065 + }, + { + "epoch": 0.62, + "learning_rate": 9.215139975011705e-06, + "loss": 1.0957, + "step": 1066 + }, + { + "epoch": 0.62, + "learning_rate": 9.213460799642612e-06, + "loss": 1.0327, + "step": 1067 + }, + { + "epoch": 0.62, + "learning_rate": 9.211779983259597e-06, + "loss": 0.9459, + "step": 1068 + }, + { + "epoch": 0.62, + "learning_rate": 9.210097526517281e-06, + "loss": 0.9187, + "step": 1069 + }, + { + "epoch": 0.62, + "learning_rate": 9.20841343007093e-06, + "loss": 0.8113, + "step": 1070 + }, + { + "epoch": 0.62, + "learning_rate": 9.206727694576448e-06, + "loss": 1.1715, + "step": 1071 + }, + { + "epoch": 0.62, + "learning_rate": 9.205040320690379e-06, + "loss": 1.156, + "step": 1072 + }, + { + "epoch": 0.62, + "learning_rate": 9.203351309069902e-06, + "loss": 0.9687, + "step": 1073 + }, + { + "epoch": 0.62, + "learning_rate": 9.201660660372835e-06, + "loss": 1.1257, + "step": 1074 + }, + { + "epoch": 0.62, + "learning_rate": 9.199968375257635e-06, + "loss": 0.9322, + "step": 1075 + }, + { + "epoch": 0.62, + "learning_rate": 9.198274454383396e-06, + "loss": 0.9005, + "step": 1076 + }, + { + "epoch": 0.62, + "learning_rate": 9.196578898409847e-06, + "loss": 0.9231, + "step": 1077 + }, + { + "epoch": 0.62, + "learning_rate": 9.194881707997355e-06, + "loss": 0.9364, + "step": 1078 + }, + { + "epoch": 0.62, + "learning_rate": 9.193182883806921e-06, + "loss": 1.0337, + "step": 1079 + }, + { + "epoch": 0.62, + "learning_rate": 9.191482426500192e-06, + "loss": 0.9184, + "step": 1080 + }, + { + "epoch": 0.62, + "learning_rate": 9.189780336739437e-06, + "loss": 1.0979, + "step": 1081 + }, + { + "epoch": 0.63, + "learning_rate": 9.188076615187573e-06, + "loss": 0.8412, + "step": 1082 + }, + { + "epoch": 0.63, + "learning_rate": 9.186371262508144e-06, + "loss": 1.0163, + "step": 1083 + }, + { + "epoch": 0.63, + "learning_rate": 9.184664279365334e-06, + "loss": 0.9226, + "step": 1084 + }, + { + "epoch": 0.63, + "learning_rate": 9.182955666423961e-06, + "loss": 1.0751, + "step": 1085 + }, + { + "epoch": 0.63, + "learning_rate": 9.181245424349477e-06, + "loss": 0.9414, + "step": 1086 + }, + { + "epoch": 0.63, + "learning_rate": 9.179533553807967e-06, + "loss": 1.0504, + "step": 1087 + }, + { + "epoch": 0.63, + "learning_rate": 9.177820055466155e-06, + "loss": 1.0274, + "step": 1088 + }, + { + "epoch": 0.63, + "learning_rate": 9.176104929991396e-06, + "loss": 0.8466, + "step": 1089 + }, + { + "epoch": 0.63, + "learning_rate": 9.174388178051676e-06, + "loss": 1.0, + "step": 1090 + }, + { + "epoch": 0.63, + "learning_rate": 9.172669800315619e-06, + "loss": 0.9134, + "step": 1091 + }, + { + "epoch": 0.63, + "learning_rate": 9.170949797452481e-06, + "loss": 0.9939, + "step": 1092 + }, + { + "epoch": 0.63, + "learning_rate": 9.169228170132151e-06, + "loss": 0.9452, + "step": 1093 + }, + { + "epoch": 0.63, + "learning_rate": 9.16750491902515e-06, + "loss": 0.9147, + "step": 1094 + }, + { + "epoch": 0.63, + "learning_rate": 9.165780044802629e-06, + "loss": 0.9883, + "step": 1095 + }, + { + "epoch": 0.63, + "learning_rate": 9.164053548136376e-06, + "loss": 0.8092, + "step": 1096 + }, + { + "epoch": 0.63, + "learning_rate": 9.162325429698807e-06, + "loss": 0.9919, + "step": 1097 + }, + { + "epoch": 0.63, + "learning_rate": 9.160595690162974e-06, + "loss": 1.1023, + "step": 1098 + }, + { + "epoch": 0.63, + "learning_rate": 9.158864330202553e-06, + "loss": 1.1119, + "step": 1099 + }, + { + "epoch": 0.64, + "learning_rate": 9.15713135049186e-06, + "loss": 1.0518, + "step": 1100 + }, + { + "epoch": 0.64, + "learning_rate": 9.155396751705836e-06, + "loss": 1.0735, + "step": 1101 + }, + { + "epoch": 0.64, + "learning_rate": 9.153660534520054e-06, + "loss": 0.9277, + "step": 1102 + }, + { + "epoch": 0.64, + "learning_rate": 9.151922699610718e-06, + "loss": 0.957, + "step": 1103 + }, + { + "epoch": 0.64, + "learning_rate": 9.15018324765466e-06, + "loss": 1.0271, + "step": 1104 + }, + { + "epoch": 0.64, + "learning_rate": 9.148442179329344e-06, + "loss": 1.2147, + "step": 1105 + }, + { + "epoch": 0.64, + "learning_rate": 9.146699495312862e-06, + "loss": 0.8248, + "step": 1106 + }, + { + "epoch": 0.64, + "learning_rate": 9.14495519628394e-06, + "loss": 0.8633, + "step": 1107 + }, + { + "epoch": 0.64, + "learning_rate": 9.143209282921924e-06, + "loss": 0.9277, + "step": 1108 + }, + { + "epoch": 0.64, + "learning_rate": 9.141461755906795e-06, + "loss": 0.9786, + "step": 1109 + }, + { + "epoch": 0.64, + "learning_rate": 9.139712615919163e-06, + "loss": 0.8974, + "step": 1110 + }, + { + "epoch": 0.64, + "learning_rate": 9.137961863640263e-06, + "loss": 0.9786, + "step": 1111 + }, + { + "epoch": 0.64, + "learning_rate": 9.136209499751962e-06, + "loss": 1.0536, + "step": 1112 + }, + { + "epoch": 0.64, + "learning_rate": 9.134455524936749e-06, + "loss": 0.9478, + "step": 1113 + }, + { + "epoch": 0.64, + "learning_rate": 9.132699939877744e-06, + "loss": 1.0421, + "step": 1114 + }, + { + "epoch": 0.64, + "learning_rate": 9.130942745258694e-06, + "loss": 1.0761, + "step": 1115 + }, + { + "epoch": 0.64, + "learning_rate": 9.129183941763971e-06, + "loss": 0.8273, + "step": 1116 + }, + { + "epoch": 0.65, + "learning_rate": 9.127423530078578e-06, + "loss": 0.8243, + "step": 1117 + }, + { + "epoch": 0.65, + "learning_rate": 9.12566151088814e-06, + "loss": 0.9616, + "step": 1118 + }, + { + "epoch": 0.65, + "learning_rate": 9.123897884878909e-06, + "loss": 0.9063, + "step": 1119 + }, + { + "epoch": 0.65, + "learning_rate": 9.122132652737765e-06, + "loss": 0.8652, + "step": 1120 + }, + { + "epoch": 0.65, + "learning_rate": 9.12036581515221e-06, + "loss": 0.9421, + "step": 1121 + }, + { + "epoch": 0.65, + "learning_rate": 9.118597372810374e-06, + "loss": 0.8445, + "step": 1122 + }, + { + "epoch": 0.65, + "learning_rate": 9.11682732640101e-06, + "loss": 0.9457, + "step": 1123 + }, + { + "epoch": 0.65, + "learning_rate": 9.115055676613498e-06, + "loss": 0.9335, + "step": 1124 + }, + { + "epoch": 0.65, + "learning_rate": 9.113282424137842e-06, + "loss": 0.9681, + "step": 1125 + }, + { + "epoch": 0.65, + "learning_rate": 9.111507569664668e-06, + "loss": 0.9651, + "step": 1126 + }, + { + "epoch": 0.65, + "learning_rate": 9.10973111388523e-06, + "loss": 1.034, + "step": 1127 + }, + { + "epoch": 0.65, + "learning_rate": 9.107953057491399e-06, + "loss": 0.8958, + "step": 1128 + }, + { + "epoch": 0.65, + "learning_rate": 9.106173401175677e-06, + "loss": 0.9818, + "step": 1129 + }, + { + "epoch": 0.65, + "learning_rate": 9.104392145631183e-06, + "loss": 0.9704, + "step": 1130 + }, + { + "epoch": 0.65, + "learning_rate": 9.102609291551664e-06, + "loss": 1.0282, + "step": 1131 + }, + { + "epoch": 0.65, + "learning_rate": 9.100824839631485e-06, + "loss": 0.8351, + "step": 1132 + }, + { + "epoch": 0.65, + "learning_rate": 9.099038790565638e-06, + "loss": 1.0102, + "step": 1133 + }, + { + "epoch": 0.66, + "learning_rate": 9.09725114504973e-06, + "loss": 0.9433, + "step": 1134 + }, + { + "epoch": 0.66, + "learning_rate": 9.095461903779999e-06, + "loss": 0.8263, + "step": 1135 + }, + { + "epoch": 0.66, + "learning_rate": 9.093671067453296e-06, + "loss": 1.0467, + "step": 1136 + }, + { + "epoch": 0.66, + "learning_rate": 9.0918786367671e-06, + "loss": 1.0342, + "step": 1137 + }, + { + "epoch": 0.66, + "learning_rate": 9.090084612419506e-06, + "loss": 1.0448, + "step": 1138 + }, + { + "epoch": 0.66, + "learning_rate": 9.08828899510923e-06, + "loss": 1.0285, + "step": 1139 + }, + { + "epoch": 0.66, + "learning_rate": 9.086491785535613e-06, + "loss": 1.0512, + "step": 1140 + }, + { + "epoch": 0.66, + "learning_rate": 9.084692984398612e-06, + "loss": 0.964, + "step": 1141 + }, + { + "epoch": 0.66, + "learning_rate": 9.082892592398804e-06, + "loss": 1.1244, + "step": 1142 + }, + { + "epoch": 0.66, + "learning_rate": 9.081090610237388e-06, + "loss": 0.9588, + "step": 1143 + }, + { + "epoch": 0.66, + "learning_rate": 9.07928703861618e-06, + "loss": 0.7332, + "step": 1144 + }, + { + "epoch": 0.66, + "learning_rate": 9.077481878237618e-06, + "loss": 0.9741, + "step": 1145 + }, + { + "epoch": 0.66, + "learning_rate": 9.07567512980475e-06, + "loss": 0.9613, + "step": 1146 + }, + { + "epoch": 0.66, + "learning_rate": 9.073866794021258e-06, + "loss": 0.9809, + "step": 1147 + }, + { + "epoch": 0.66, + "learning_rate": 9.072056871591428e-06, + "loss": 0.9366, + "step": 1148 + }, + { + "epoch": 0.66, + "learning_rate": 9.070245363220172e-06, + "loss": 0.9632, + "step": 1149 + }, + { + "epoch": 0.66, + "learning_rate": 9.068432269613012e-06, + "loss": 0.9609, + "step": 1150 + }, + { + "epoch": 0.66, + "learning_rate": 9.066617591476099e-06, + "loss": 0.8978, + "step": 1151 + }, + { + "epoch": 0.67, + "learning_rate": 9.064801329516192e-06, + "loss": 1.1538, + "step": 1152 + }, + { + "epoch": 0.67, + "learning_rate": 9.062983484440668e-06, + "loss": 0.9779, + "step": 1153 + }, + { + "epoch": 0.67, + "learning_rate": 9.061164056957523e-06, + "loss": 0.8917, + "step": 1154 + }, + { + "epoch": 0.67, + "learning_rate": 9.059343047775368e-06, + "loss": 0.9073, + "step": 1155 + }, + { + "epoch": 0.67, + "learning_rate": 9.057520457603433e-06, + "loss": 1.0209, + "step": 1156 + }, + { + "epoch": 0.67, + "learning_rate": 9.055696287151556e-06, + "loss": 0.7582, + "step": 1157 + }, + { + "epoch": 0.67, + "learning_rate": 9.053870537130198e-06, + "loss": 1.1078, + "step": 1158 + }, + { + "epoch": 0.67, + "learning_rate": 9.052043208250435e-06, + "loss": 1.1298, + "step": 1159 + }, + { + "epoch": 0.67, + "learning_rate": 9.050214301223952e-06, + "loss": 0.9329, + "step": 1160 + }, + { + "epoch": 0.67, + "learning_rate": 9.048383816763056e-06, + "loss": 0.9385, + "step": 1161 + }, + { + "epoch": 0.67, + "learning_rate": 9.04655175558066e-06, + "loss": 0.9825, + "step": 1162 + }, + { + "epoch": 0.67, + "learning_rate": 9.044718118390299e-06, + "loss": 1.0473, + "step": 1163 + }, + { + "epoch": 0.67, + "learning_rate": 9.042882905906118e-06, + "loss": 1.006, + "step": 1164 + }, + { + "epoch": 0.67, + "learning_rate": 9.041046118842874e-06, + "loss": 0.8925, + "step": 1165 + }, + { + "epoch": 0.67, + "learning_rate": 9.039207757915942e-06, + "loss": 0.9181, + "step": 1166 + }, + { + "epoch": 0.67, + "learning_rate": 9.037367823841308e-06, + "loss": 0.97, + "step": 1167 + }, + { + "epoch": 0.67, + "learning_rate": 9.035526317335567e-06, + "loss": 0.9156, + "step": 1168 + }, + { + "epoch": 0.68, + "learning_rate": 9.03368323911593e-06, + "loss": 0.6677, + "step": 1169 + }, + { + "epoch": 0.68, + "learning_rate": 9.03183858990022e-06, + "loss": 1.0573, + "step": 1170 + }, + { + "epoch": 0.68, + "learning_rate": 9.029992370406872e-06, + "loss": 0.8438, + "step": 1171 + }, + { + "epoch": 0.68, + "learning_rate": 9.028144581354932e-06, + "loss": 0.7961, + "step": 1172 + }, + { + "epoch": 0.68, + "learning_rate": 9.026295223464056e-06, + "loss": 0.8662, + "step": 1173 + }, + { + "epoch": 0.68, + "learning_rate": 9.024444297454515e-06, + "loss": 0.8332, + "step": 1174 + }, + { + "epoch": 0.68, + "learning_rate": 9.022591804047183e-06, + "loss": 1.0643, + "step": 1175 + }, + { + "epoch": 0.68, + "learning_rate": 9.020737743963555e-06, + "loss": 0.9569, + "step": 1176 + }, + { + "epoch": 0.68, + "learning_rate": 9.018882117925726e-06, + "loss": 0.8465, + "step": 1177 + }, + { + "epoch": 0.68, + "learning_rate": 9.017024926656408e-06, + "loss": 0.836, + "step": 1178 + }, + { + "epoch": 0.68, + "learning_rate": 9.015166170878919e-06, + "loss": 0.9639, + "step": 1179 + }, + { + "epoch": 0.68, + "learning_rate": 9.01330585131719e-06, + "loss": 1.0215, + "step": 1180 + }, + { + "epoch": 0.68, + "learning_rate": 9.011443968695756e-06, + "loss": 1.0461, + "step": 1181 + }, + { + "epoch": 0.68, + "learning_rate": 9.009580523739763e-06, + "loss": 0.8797, + "step": 1182 + }, + { + "epoch": 0.68, + "learning_rate": 9.007715517174966e-06, + "loss": 0.9169, + "step": 1183 + }, + { + "epoch": 0.68, + "learning_rate": 9.005848949727729e-06, + "loss": 0.8447, + "step": 1184 + }, + { + "epoch": 0.68, + "learning_rate": 9.003980822125024e-06, + "loss": 1.0077, + "step": 1185 + }, + { + "epoch": 0.69, + "learning_rate": 9.002111135094426e-06, + "loss": 0.8241, + "step": 1186 + }, + { + "epoch": 0.69, + "learning_rate": 9.000239889364123e-06, + "loss": 1.1505, + "step": 1187 + }, + { + "epoch": 0.69, + "learning_rate": 8.998367085662908e-06, + "loss": 0.8957, + "step": 1188 + }, + { + "epoch": 0.69, + "learning_rate": 8.996492724720181e-06, + "loss": 1.0677, + "step": 1189 + }, + { + "epoch": 0.69, + "learning_rate": 8.994616807265945e-06, + "loss": 0.8511, + "step": 1190 + }, + { + "epoch": 0.69, + "learning_rate": 8.992739334030815e-06, + "loss": 0.927, + "step": 1191 + }, + { + "epoch": 0.69, + "learning_rate": 8.990860305746012e-06, + "loss": 1.1384, + "step": 1192 + }, + { + "epoch": 0.69, + "learning_rate": 8.988979723143354e-06, + "loss": 0.748, + "step": 1193 + }, + { + "epoch": 0.69, + "learning_rate": 8.987097586955276e-06, + "loss": 1.0348, + "step": 1194 + }, + { + "epoch": 0.69, + "learning_rate": 8.985213897914808e-06, + "loss": 0.9461, + "step": 1195 + }, + { + "epoch": 0.69, + "learning_rate": 8.98332865675559e-06, + "loss": 0.9058, + "step": 1196 + }, + { + "epoch": 0.69, + "learning_rate": 8.981441864211869e-06, + "loss": 1.0126, + "step": 1197 + }, + { + "epoch": 0.69, + "learning_rate": 8.97955352101849e-06, + "loss": 0.8629, + "step": 1198 + }, + { + "epoch": 0.69, + "learning_rate": 8.977663627910903e-06, + "loss": 0.9692, + "step": 1199 + }, + { + "epoch": 0.69, + "learning_rate": 8.97577218562517e-06, + "loss": 0.8966, + "step": 1200 + }, + { + "epoch": 0.69, + "learning_rate": 8.973879194897942e-06, + "loss": 1.0587, + "step": 1201 + }, + { + "epoch": 0.69, + "learning_rate": 8.971984656466488e-06, + "loss": 0.9766, + "step": 1202 + }, + { + "epoch": 0.7, + "learning_rate": 8.970088571068667e-06, + "loss": 0.9177, + "step": 1203 + }, + { + "epoch": 0.7, + "learning_rate": 8.968190939442948e-06, + "loss": 1.0443, + "step": 1204 + }, + { + "epoch": 0.7, + "learning_rate": 8.966291762328404e-06, + "loss": 1.0181, + "step": 1205 + }, + { + "epoch": 0.7, + "learning_rate": 8.964391040464699e-06, + "loss": 0.9556, + "step": 1206 + }, + { + "epoch": 0.7, + "learning_rate": 8.962488774592113e-06, + "loss": 0.9506, + "step": 1207 + }, + { + "epoch": 0.7, + "learning_rate": 8.960584965451517e-06, + "loss": 1.0374, + "step": 1208 + }, + { + "epoch": 0.7, + "learning_rate": 8.958679613784387e-06, + "loss": 0.8593, + "step": 1209 + }, + { + "epoch": 0.7, + "learning_rate": 8.956772720332799e-06, + "loss": 0.9204, + "step": 1210 + }, + { + "epoch": 0.7, + "learning_rate": 8.954864285839428e-06, + "loss": 0.8278, + "step": 1211 + }, + { + "epoch": 0.7, + "learning_rate": 8.952954311047554e-06, + "loss": 0.9701, + "step": 1212 + }, + { + "epoch": 0.7, + "learning_rate": 8.951042796701051e-06, + "loss": 0.9464, + "step": 1213 + }, + { + "epoch": 0.7, + "learning_rate": 8.949129743544396e-06, + "loss": 0.758, + "step": 1214 + }, + { + "epoch": 0.7, + "learning_rate": 8.947215152322666e-06, + "loss": 0.9965, + "step": 1215 + }, + { + "epoch": 0.7, + "learning_rate": 8.945299023781534e-06, + "loss": 1.0842, + "step": 1216 + }, + { + "epoch": 0.7, + "learning_rate": 8.943381358667273e-06, + "loss": 0.8665, + "step": 1217 + }, + { + "epoch": 0.7, + "learning_rate": 8.941462157726757e-06, + "loss": 0.9714, + "step": 1218 + }, + { + "epoch": 0.7, + "learning_rate": 8.939541421707454e-06, + "loss": 0.9738, + "step": 1219 + }, + { + "epoch": 0.7, + "learning_rate": 8.937619151357433e-06, + "loss": 1.0803, + "step": 1220 + }, + { + "epoch": 0.71, + "learning_rate": 8.935695347425359e-06, + "loss": 0.7428, + "step": 1221 + }, + { + "epoch": 0.71, + "learning_rate": 8.933770010660494e-06, + "loss": 0.8451, + "step": 1222 + }, + { + "epoch": 0.71, + "learning_rate": 8.9318431418127e-06, + "loss": 0.9917, + "step": 1223 + }, + { + "epoch": 0.71, + "learning_rate": 8.92991474163243e-06, + "loss": 0.9201, + "step": 1224 + }, + { + "epoch": 0.71, + "learning_rate": 8.927984810870739e-06, + "loss": 1.1316, + "step": 1225 + }, + { + "epoch": 0.71, + "learning_rate": 8.926053350279276e-06, + "loss": 0.9683, + "step": 1226 + }, + { + "epoch": 0.71, + "learning_rate": 8.924120360610284e-06, + "loss": 0.8985, + "step": 1227 + }, + { + "epoch": 0.71, + "learning_rate": 8.922185842616607e-06, + "loss": 0.9449, + "step": 1228 + }, + { + "epoch": 0.71, + "learning_rate": 8.920249797051675e-06, + "loss": 1.1098, + "step": 1229 + }, + { + "epoch": 0.71, + "learning_rate": 8.918312224669523e-06, + "loss": 1.0074, + "step": 1230 + }, + { + "epoch": 0.71, + "learning_rate": 8.916373126224775e-06, + "loss": 1.127, + "step": 1231 + }, + { + "epoch": 0.71, + "learning_rate": 8.914432502472648e-06, + "loss": 0.9567, + "step": 1232 + }, + { + "epoch": 0.71, + "learning_rate": 8.912490354168959e-06, + "loss": 0.9672, + "step": 1233 + }, + { + "epoch": 0.71, + "learning_rate": 8.910546682070114e-06, + "loss": 1.0179, + "step": 1234 + }, + { + "epoch": 0.71, + "learning_rate": 8.908601486933113e-06, + "loss": 0.8757, + "step": 1235 + }, + { + "epoch": 0.71, + "learning_rate": 8.906654769515551e-06, + "loss": 0.9275, + "step": 1236 + }, + { + "epoch": 0.71, + "learning_rate": 8.904706530575613e-06, + "loss": 1.0786, + "step": 1237 + }, + { + "epoch": 0.72, + "learning_rate": 8.902756770872082e-06, + "loss": 0.9729, + "step": 1238 + }, + { + "epoch": 0.72, + "learning_rate": 8.900805491164326e-06, + "loss": 1.0915, + "step": 1239 + }, + { + "epoch": 0.72, + "learning_rate": 8.89885269221231e-06, + "loss": 0.9051, + "step": 1240 + }, + { + "epoch": 0.72, + "learning_rate": 8.89689837477659e-06, + "loss": 1.0547, + "step": 1241 + }, + { + "epoch": 0.72, + "learning_rate": 8.89494253961831e-06, + "loss": 1.0363, + "step": 1242 + }, + { + "epoch": 0.72, + "learning_rate": 8.892985187499212e-06, + "loss": 1.0334, + "step": 1243 + }, + { + "epoch": 0.72, + "learning_rate": 8.891026319181625e-06, + "loss": 0.9801, + "step": 1244 + }, + { + "epoch": 0.72, + "learning_rate": 8.889065935428462e-06, + "loss": 1.0754, + "step": 1245 + }, + { + "epoch": 0.72, + "learning_rate": 8.887104037003238e-06, + "loss": 1.1574, + "step": 1246 + }, + { + "epoch": 0.72, + "learning_rate": 8.88514062467005e-06, + "loss": 0.9881, + "step": 1247 + }, + { + "epoch": 0.72, + "learning_rate": 8.883175699193589e-06, + "loss": 0.9397, + "step": 1248 + }, + { + "epoch": 0.72, + "learning_rate": 8.881209261339133e-06, + "loss": 0.8106, + "step": 1249 + }, + { + "epoch": 0.72, + "learning_rate": 8.879241311872546e-06, + "loss": 0.9982, + "step": 1250 + }, + { + "epoch": 0.72, + "learning_rate": 8.877271851560287e-06, + "loss": 1.0277, + "step": 1251 + }, + { + "epoch": 0.72, + "learning_rate": 8.8753008811694e-06, + "loss": 0.8966, + "step": 1252 + }, + { + "epoch": 0.72, + "learning_rate": 8.873328401467517e-06, + "loss": 1.0737, + "step": 1253 + }, + { + "epoch": 0.72, + "learning_rate": 8.871354413222859e-06, + "loss": 0.8758, + "step": 1254 + }, + { + "epoch": 0.73, + "learning_rate": 8.869378917204235e-06, + "loss": 1.0245, + "step": 1255 + }, + { + "epoch": 0.73, + "learning_rate": 8.867401914181037e-06, + "loss": 1.0042, + "step": 1256 + }, + { + "epoch": 0.73, + "learning_rate": 8.86542340492325e-06, + "loss": 0.93, + "step": 1257 + }, + { + "epoch": 0.73, + "learning_rate": 8.863443390201443e-06, + "loss": 0.8435, + "step": 1258 + }, + { + "epoch": 0.73, + "learning_rate": 8.86146187078677e-06, + "loss": 1.042, + "step": 1259 + }, + { + "epoch": 0.73, + "learning_rate": 8.85947884745097e-06, + "loss": 1.0231, + "step": 1260 + }, + { + "epoch": 0.73, + "learning_rate": 8.857494320966374e-06, + "loss": 0.8047, + "step": 1261 + }, + { + "epoch": 0.73, + "learning_rate": 8.85550829210589e-06, + "loss": 1.0889, + "step": 1262 + }, + { + "epoch": 0.73, + "learning_rate": 8.85352076164302e-06, + "loss": 0.8959, + "step": 1263 + }, + { + "epoch": 0.73, + "learning_rate": 8.851531730351843e-06, + "loss": 0.9234, + "step": 1264 + }, + { + "epoch": 0.73, + "learning_rate": 8.849541199007028e-06, + "loss": 1.0993, + "step": 1265 + }, + { + "epoch": 0.73, + "learning_rate": 8.847549168383823e-06, + "loss": 0.9614, + "step": 1266 + }, + { + "epoch": 0.73, + "learning_rate": 8.845555639258065e-06, + "loss": 0.8619, + "step": 1267 + }, + { + "epoch": 0.73, + "learning_rate": 8.843560612406171e-06, + "loss": 0.917, + "step": 1268 + }, + { + "epoch": 0.73, + "learning_rate": 8.841564088605145e-06, + "loss": 0.9658, + "step": 1269 + }, + { + "epoch": 0.73, + "learning_rate": 8.83956606863257e-06, + "loss": 0.8081, + "step": 1270 + }, + { + "epoch": 0.73, + "learning_rate": 8.837566553266617e-06, + "loss": 1.0067, + "step": 1271 + }, + { + "epoch": 0.73, + "learning_rate": 8.835565543286031e-06, + "loss": 0.8255, + "step": 1272 + }, + { + "epoch": 0.74, + "learning_rate": 8.833563039470146e-06, + "loss": 1.0527, + "step": 1273 + }, + { + "epoch": 0.74, + "learning_rate": 8.831559042598879e-06, + "loss": 0.8809, + "step": 1274 + }, + { + "epoch": 0.74, + "learning_rate": 8.82955355345272e-06, + "loss": 0.8077, + "step": 1275 + }, + { + "epoch": 0.74, + "learning_rate": 8.82754657281275e-06, + "loss": 1.0206, + "step": 1276 + }, + { + "epoch": 0.74, + "learning_rate": 8.825538101460625e-06, + "loss": 0.9175, + "step": 1277 + }, + { + "epoch": 0.74, + "learning_rate": 8.82352814017858e-06, + "loss": 0.9291, + "step": 1278 + }, + { + "epoch": 0.74, + "learning_rate": 8.82151668974944e-06, + "loss": 0.8901, + "step": 1279 + }, + { + "epoch": 0.74, + "learning_rate": 8.819503750956598e-06, + "loss": 0.9898, + "step": 1280 + }, + { + "epoch": 0.74, + "learning_rate": 8.817489324584035e-06, + "loss": 0.8457, + "step": 1281 + }, + { + "epoch": 0.74, + "learning_rate": 8.815473411416305e-06, + "loss": 0.9643, + "step": 1282 + }, + { + "epoch": 0.74, + "learning_rate": 8.813456012238548e-06, + "loss": 0.7832, + "step": 1283 + }, + { + "epoch": 0.74, + "learning_rate": 8.811437127836477e-06, + "loss": 0.7861, + "step": 1284 + }, + { + "epoch": 0.74, + "learning_rate": 8.809416758996386e-06, + "loss": 1.09, + "step": 1285 + }, + { + "epoch": 0.74, + "learning_rate": 8.807394906505146e-06, + "loss": 0.9607, + "step": 1286 + }, + { + "epoch": 0.74, + "learning_rate": 8.80537157115021e-06, + "loss": 0.9299, + "step": 1287 + }, + { + "epoch": 0.74, + "learning_rate": 8.803346753719602e-06, + "loss": 1.1431, + "step": 1288 + }, + { + "epoch": 0.74, + "learning_rate": 8.801320455001928e-06, + "loss": 0.9957, + "step": 1289 + }, + { + "epoch": 0.75, + "learning_rate": 8.799292675786365e-06, + "loss": 0.897, + "step": 1290 + }, + { + "epoch": 0.75, + "learning_rate": 8.797263416862678e-06, + "loss": 0.8123, + "step": 1291 + }, + { + "epoch": 0.75, + "learning_rate": 8.795232679021197e-06, + "loss": 0.9541, + "step": 1292 + }, + { + "epoch": 0.75, + "learning_rate": 8.793200463052832e-06, + "loss": 0.8835, + "step": 1293 + }, + { + "epoch": 0.75, + "learning_rate": 8.791166769749068e-06, + "loss": 1.0021, + "step": 1294 + }, + { + "epoch": 0.75, + "learning_rate": 8.78913159990197e-06, + "loss": 0.8914, + "step": 1295 + }, + { + "epoch": 0.75, + "learning_rate": 8.787094954304172e-06, + "loss": 1.0029, + "step": 1296 + }, + { + "epoch": 0.75, + "learning_rate": 8.785056833748883e-06, + "loss": 0.9944, + "step": 1297 + }, + { + "epoch": 0.75, + "learning_rate": 8.783017239029894e-06, + "loss": 1.0457, + "step": 1298 + }, + { + "epoch": 0.75, + "learning_rate": 8.780976170941561e-06, + "loss": 0.9125, + "step": 1299 + }, + { + "epoch": 0.75, + "learning_rate": 8.778933630278817e-06, + "loss": 0.9951, + "step": 1300 + }, + { + "epoch": 0.75, + "learning_rate": 8.77688961783717e-06, + "loss": 0.9831, + "step": 1301 + }, + { + "epoch": 0.75, + "learning_rate": 8.7748441344127e-06, + "loss": 0.9971, + "step": 1302 + }, + { + "epoch": 0.75, + "learning_rate": 8.772797180802061e-06, + "loss": 1.1294, + "step": 1303 + }, + { + "epoch": 0.75, + "learning_rate": 8.770748757802478e-06, + "loss": 1.0253, + "step": 1304 + }, + { + "epoch": 0.75, + "learning_rate": 8.76869886621175e-06, + "loss": 0.9648, + "step": 1305 + }, + { + "epoch": 0.75, + "learning_rate": 8.766647506828246e-06, + "loss": 1.0831, + "step": 1306 + }, + { + "epoch": 0.76, + "learning_rate": 8.764594680450907e-06, + "loss": 0.9608, + "step": 1307 + }, + { + "epoch": 0.76, + "learning_rate": 8.762540387879245e-06, + "loss": 1.0421, + "step": 1308 + }, + { + "epoch": 0.76, + "learning_rate": 8.760484629913349e-06, + "loss": 0.9144, + "step": 1309 + }, + { + "epoch": 0.76, + "learning_rate": 8.758427407353868e-06, + "loss": 0.9735, + "step": 1310 + }, + { + "epoch": 0.76, + "learning_rate": 8.756368721002031e-06, + "loss": 0.8375, + "step": 1311 + }, + { + "epoch": 0.76, + "learning_rate": 8.754308571659633e-06, + "loss": 0.9071, + "step": 1312 + }, + { + "epoch": 0.76, + "learning_rate": 8.752246960129037e-06, + "loss": 0.882, + "step": 1313 + }, + { + "epoch": 0.76, + "learning_rate": 8.75018388721318e-06, + "loss": 0.8478, + "step": 1314 + }, + { + "epoch": 0.76, + "learning_rate": 8.748119353715562e-06, + "loss": 0.9091, + "step": 1315 + }, + { + "epoch": 0.76, + "learning_rate": 8.746053360440258e-06, + "loss": 0.9208, + "step": 1316 + }, + { + "epoch": 0.76, + "learning_rate": 8.74398590819191e-06, + "loss": 1.0387, + "step": 1317 + }, + { + "epoch": 0.76, + "learning_rate": 8.741916997775727e-06, + "loss": 0.9518, + "step": 1318 + }, + { + "epoch": 0.76, + "learning_rate": 8.739846629997483e-06, + "loss": 0.8994, + "step": 1319 + }, + { + "epoch": 0.76, + "learning_rate": 8.73777480566353e-06, + "loss": 1.0833, + "step": 1320 + }, + { + "epoch": 0.76, + "learning_rate": 8.73570152558077e-06, + "loss": 0.9483, + "step": 1321 + }, + { + "epoch": 0.76, + "learning_rate": 8.733626790556692e-06, + "loss": 1.049, + "step": 1322 + }, + { + "epoch": 0.76, + "learning_rate": 8.731550601399336e-06, + "loss": 0.9837, + "step": 1323 + }, + { + "epoch": 0.76, + "learning_rate": 8.729472958917316e-06, + "loss": 0.9904, + "step": 1324 + }, + { + "epoch": 0.77, + "learning_rate": 8.727393863919809e-06, + "loss": 1.1107, + "step": 1325 + }, + { + "epoch": 0.77, + "learning_rate": 8.725313317216558e-06, + "loss": 1.0005, + "step": 1326 + }, + { + "epoch": 0.77, + "learning_rate": 8.723231319617875e-06, + "loss": 0.9344, + "step": 1327 + }, + { + "epoch": 0.77, + "learning_rate": 8.721147871934632e-06, + "loss": 1.0561, + "step": 1328 + }, + { + "epoch": 0.77, + "learning_rate": 8.71906297497827e-06, + "loss": 0.92, + "step": 1329 + }, + { + "epoch": 0.77, + "learning_rate": 8.716976629560791e-06, + "loss": 0.995, + "step": 1330 + }, + { + "epoch": 0.77, + "learning_rate": 8.714888836494762e-06, + "loss": 0.881, + "step": 1331 + }, + { + "epoch": 0.77, + "learning_rate": 8.712799596593317e-06, + "loss": 1.0066, + "step": 1332 + }, + { + "epoch": 0.77, + "learning_rate": 8.71070891067015e-06, + "loss": 0.9815, + "step": 1333 + }, + { + "epoch": 0.77, + "learning_rate": 8.708616779539518e-06, + "loss": 0.947, + "step": 1334 + }, + { + "epoch": 0.77, + "learning_rate": 8.706523204016242e-06, + "loss": 0.9087, + "step": 1335 + }, + { + "epoch": 0.77, + "learning_rate": 8.704428184915706e-06, + "loss": 1.0734, + "step": 1336 + }, + { + "epoch": 0.77, + "learning_rate": 8.702331723053856e-06, + "loss": 0.946, + "step": 1337 + }, + { + "epoch": 0.77, + "learning_rate": 8.7002338192472e-06, + "loss": 0.9879, + "step": 1338 + }, + { + "epoch": 0.77, + "learning_rate": 8.698134474312808e-06, + "loss": 0.9318, + "step": 1339 + }, + { + "epoch": 0.77, + "learning_rate": 8.696033689068309e-06, + "loss": 0.8354, + "step": 1340 + }, + { + "epoch": 0.77, + "learning_rate": 8.693931464331893e-06, + "loss": 1.0353, + "step": 1341 + }, + { + "epoch": 0.78, + "learning_rate": 8.691827800922314e-06, + "loss": 0.9885, + "step": 1342 + }, + { + "epoch": 0.78, + "learning_rate": 8.689722699658887e-06, + "loss": 0.9467, + "step": 1343 + }, + { + "epoch": 0.78, + "learning_rate": 8.68761616136148e-06, + "loss": 1.0466, + "step": 1344 + }, + { + "epoch": 0.78, + "learning_rate": 8.685508186850529e-06, + "loss": 0.8944, + "step": 1345 + }, + { + "epoch": 0.78, + "learning_rate": 8.683398776947022e-06, + "loss": 0.7941, + "step": 1346 + }, + { + "epoch": 0.78, + "learning_rate": 8.681287932472512e-06, + "loss": 0.8459, + "step": 1347 + }, + { + "epoch": 0.78, + "learning_rate": 8.679175654249107e-06, + "loss": 0.9956, + "step": 1348 + }, + { + "epoch": 0.78, + "learning_rate": 8.677061943099476e-06, + "loss": 1.0268, + "step": 1349 + }, + { + "epoch": 0.78, + "learning_rate": 8.674946799846844e-06, + "loss": 0.986, + "step": 1350 + }, + { + "epoch": 0.78, + "learning_rate": 8.672830225314994e-06, + "loss": 0.9477, + "step": 1351 + }, + { + "epoch": 0.78, + "learning_rate": 8.670712220328268e-06, + "loss": 0.8761, + "step": 1352 + }, + { + "epoch": 0.78, + "learning_rate": 8.668592785711562e-06, + "loss": 0.8886, + "step": 1353 + }, + { + "epoch": 0.78, + "learning_rate": 8.666471922290334e-06, + "loss": 1.1705, + "step": 1354 + }, + { + "epoch": 0.78, + "learning_rate": 8.664349630890592e-06, + "loss": 1.0659, + "step": 1355 + }, + { + "epoch": 0.78, + "learning_rate": 8.662225912338906e-06, + "loss": 0.933, + "step": 1356 + }, + { + "epoch": 0.78, + "learning_rate": 8.660100767462398e-06, + "loss": 0.7246, + "step": 1357 + }, + { + "epoch": 0.78, + "learning_rate": 8.657974197088747e-06, + "loss": 0.9659, + "step": 1358 + }, + { + "epoch": 0.79, + "learning_rate": 8.65584620204619e-06, + "loss": 1.0416, + "step": 1359 + }, + { + "epoch": 0.79, + "learning_rate": 8.65371678316351e-06, + "loss": 0.8401, + "step": 1360 + }, + { + "epoch": 0.79, + "learning_rate": 8.651585941270056e-06, + "loss": 0.9712, + "step": 1361 + }, + { + "epoch": 0.79, + "learning_rate": 8.64945367719572e-06, + "loss": 0.8428, + "step": 1362 + }, + { + "epoch": 0.79, + "learning_rate": 8.647319991770959e-06, + "loss": 0.9584, + "step": 1363 + }, + { + "epoch": 0.79, + "learning_rate": 8.645184885826776e-06, + "loss": 0.798, + "step": 1364 + }, + { + "epoch": 0.79, + "learning_rate": 8.64304836019473e-06, + "loss": 1.0165, + "step": 1365 + }, + { + "epoch": 0.79, + "learning_rate": 8.640910415706931e-06, + "loss": 0.8217, + "step": 1366 + }, + { + "epoch": 0.79, + "learning_rate": 8.638771053196043e-06, + "loss": 0.973, + "step": 1367 + }, + { + "epoch": 0.79, + "learning_rate": 8.636630273495284e-06, + "loss": 1.1034, + "step": 1368 + }, + { + "epoch": 0.79, + "learning_rate": 8.634488077438419e-06, + "loss": 1.0471, + "step": 1369 + }, + { + "epoch": 0.79, + "learning_rate": 8.63234446585977e-06, + "loss": 0.8644, + "step": 1370 + }, + { + "epoch": 0.79, + "learning_rate": 8.630199439594209e-06, + "loss": 0.8391, + "step": 1371 + }, + { + "epoch": 0.79, + "learning_rate": 8.628052999477156e-06, + "loss": 0.8289, + "step": 1372 + }, + { + "epoch": 0.79, + "learning_rate": 8.625905146344585e-06, + "loss": 0.7755, + "step": 1373 + }, + { + "epoch": 0.79, + "learning_rate": 8.623755881033016e-06, + "loss": 0.8259, + "step": 1374 + }, + { + "epoch": 0.79, + "learning_rate": 8.621605204379525e-06, + "loss": 0.8174, + "step": 1375 + }, + { + "epoch": 0.79, + "learning_rate": 8.619453117221737e-06, + "loss": 0.9404, + "step": 1376 + }, + { + "epoch": 0.8, + "learning_rate": 8.617299620397817e-06, + "loss": 1.1008, + "step": 1377 + }, + { + "epoch": 0.8, + "learning_rate": 8.615144714746493e-06, + "loss": 1.0099, + "step": 1378 + }, + { + "epoch": 0.8, + "learning_rate": 8.61298840110703e-06, + "loss": 0.7762, + "step": 1379 + }, + { + "epoch": 0.8, + "learning_rate": 8.61083068031925e-06, + "loss": 0.9883, + "step": 1380 + }, + { + "epoch": 0.8, + "learning_rate": 8.608671553223515e-06, + "loss": 0.9078, + "step": 1381 + }, + { + "epoch": 0.8, + "learning_rate": 8.606511020660743e-06, + "loss": 0.9825, + "step": 1382 + }, + { + "epoch": 0.8, + "learning_rate": 8.604349083472392e-06, + "loss": 0.9048, + "step": 1383 + }, + { + "epoch": 0.8, + "learning_rate": 8.602185742500473e-06, + "loss": 0.9336, + "step": 1384 + }, + { + "epoch": 0.8, + "learning_rate": 8.600020998587537e-06, + "loss": 0.8575, + "step": 1385 + }, + { + "epoch": 0.8, + "learning_rate": 8.59785485257669e-06, + "loss": 1.0398, + "step": 1386 + }, + { + "epoch": 0.8, + "learning_rate": 8.595687305311578e-06, + "loss": 0.8378, + "step": 1387 + }, + { + "epoch": 0.8, + "learning_rate": 8.593518357636391e-06, + "loss": 0.9388, + "step": 1388 + }, + { + "epoch": 0.8, + "learning_rate": 8.591348010395874e-06, + "loss": 1.0285, + "step": 1389 + }, + { + "epoch": 0.8, + "learning_rate": 8.589176264435306e-06, + "loss": 0.9243, + "step": 1390 + }, + { + "epoch": 0.8, + "learning_rate": 8.587003120600516e-06, + "loss": 0.9461, + "step": 1391 + }, + { + "epoch": 0.8, + "learning_rate": 8.58482857973788e-06, + "loss": 0.8934, + "step": 1392 + }, + { + "epoch": 0.8, + "learning_rate": 8.582652642694311e-06, + "loss": 1.0649, + "step": 1393 + }, + { + "epoch": 0.81, + "learning_rate": 8.580475310317273e-06, + "loss": 0.9417, + "step": 1394 + }, + { + "epoch": 0.81, + "learning_rate": 8.578296583454767e-06, + "loss": 1.0228, + "step": 1395 + }, + { + "epoch": 0.81, + "learning_rate": 8.576116462955345e-06, + "loss": 0.9974, + "step": 1396 + }, + { + "epoch": 0.81, + "learning_rate": 8.573934949668093e-06, + "loss": 0.8364, + "step": 1397 + }, + { + "epoch": 0.81, + "learning_rate": 8.571752044442645e-06, + "loss": 0.92, + "step": 1398 + }, + { + "epoch": 0.81, + "learning_rate": 8.569567748129177e-06, + "loss": 0.8771, + "step": 1399 + }, + { + "epoch": 0.81, + "learning_rate": 8.567382061578404e-06, + "loss": 0.8692, + "step": 1400 + }, + { + "epoch": 0.81, + "learning_rate": 8.565194985641582e-06, + "loss": 0.984, + "step": 1401 + }, + { + "epoch": 0.81, + "learning_rate": 8.563006521170516e-06, + "loss": 0.8858, + "step": 1402 + }, + { + "epoch": 0.81, + "learning_rate": 8.56081666901754e-06, + "loss": 1.0462, + "step": 1403 + }, + { + "epoch": 0.81, + "learning_rate": 8.558625430035537e-06, + "loss": 0.9489, + "step": 1404 + }, + { + "epoch": 0.81, + "learning_rate": 8.556432805077927e-06, + "loss": 0.8713, + "step": 1405 + }, + { + "epoch": 0.81, + "learning_rate": 8.554238794998672e-06, + "loss": 1.0007, + "step": 1406 + }, + { + "epoch": 0.81, + "learning_rate": 8.552043400652269e-06, + "loss": 1.0622, + "step": 1407 + }, + { + "epoch": 0.81, + "learning_rate": 8.549846622893758e-06, + "loss": 0.8984, + "step": 1408 + }, + { + "epoch": 0.81, + "learning_rate": 8.547648462578717e-06, + "loss": 1.0005, + "step": 1409 + }, + { + "epoch": 0.81, + "learning_rate": 8.54544892056326e-06, + "loss": 0.9246, + "step": 1410 + }, + { + "epoch": 0.82, + "learning_rate": 8.543247997704045e-06, + "loss": 1.0462, + "step": 1411 + }, + { + "epoch": 0.82, + "learning_rate": 8.54104569485826e-06, + "loss": 0.8148, + "step": 1412 + }, + { + "epoch": 0.82, + "learning_rate": 8.538842012883639e-06, + "loss": 0.9098, + "step": 1413 + }, + { + "epoch": 0.82, + "learning_rate": 8.536636952638444e-06, + "loss": 0.9557, + "step": 1414 + }, + { + "epoch": 0.82, + "learning_rate": 8.534430514981483e-06, + "loss": 0.9795, + "step": 1415 + }, + { + "epoch": 0.82, + "learning_rate": 8.53222270077209e-06, + "loss": 0.873, + "step": 1416 + }, + { + "epoch": 0.82, + "learning_rate": 8.530013510870148e-06, + "loss": 0.9734, + "step": 1417 + }, + { + "epoch": 0.82, + "learning_rate": 8.527802946136063e-06, + "loss": 0.9432, + "step": 1418 + }, + { + "epoch": 0.82, + "learning_rate": 8.525591007430785e-06, + "loss": 0.8709, + "step": 1419 + }, + { + "epoch": 0.82, + "learning_rate": 8.523377695615797e-06, + "loss": 0.9138, + "step": 1420 + }, + { + "epoch": 0.82, + "learning_rate": 8.521163011553114e-06, + "loss": 1.0264, + "step": 1421 + }, + { + "epoch": 0.82, + "learning_rate": 8.518946956105288e-06, + "loss": 0.8116, + "step": 1422 + }, + { + "epoch": 0.82, + "learning_rate": 8.516729530135406e-06, + "loss": 0.9081, + "step": 1423 + }, + { + "epoch": 0.82, + "learning_rate": 8.514510734507087e-06, + "loss": 0.9908, + "step": 1424 + }, + { + "epoch": 0.82, + "learning_rate": 8.512290570084486e-06, + "loss": 1.0439, + "step": 1425 + }, + { + "epoch": 0.82, + "learning_rate": 8.510069037732284e-06, + "loss": 1.0257, + "step": 1426 + }, + { + "epoch": 0.82, + "learning_rate": 8.507846138315702e-06, + "loss": 0.8882, + "step": 1427 + }, + { + "epoch": 0.83, + "learning_rate": 8.505621872700493e-06, + "loss": 1.0474, + "step": 1428 + }, + { + "epoch": 0.83, + "learning_rate": 8.503396241752942e-06, + "loss": 0.8826, + "step": 1429 + }, + { + "epoch": 0.83, + "learning_rate": 8.501169246339857e-06, + "loss": 1.1818, + "step": 1430 + }, + { + "epoch": 0.83, + "learning_rate": 8.498940887328592e-06, + "loss": 1.0188, + "step": 1431 + }, + { + "epoch": 0.83, + "learning_rate": 8.496711165587021e-06, + "loss": 0.9732, + "step": 1432 + }, + { + "epoch": 0.83, + "learning_rate": 8.494480081983552e-06, + "loss": 0.984, + "step": 1433 + }, + { + "epoch": 0.83, + "learning_rate": 8.492247637387123e-06, + "loss": 0.8419, + "step": 1434 + }, + { + "epoch": 0.83, + "learning_rate": 8.490013832667205e-06, + "loss": 0.8972, + "step": 1435 + }, + { + "epoch": 0.83, + "learning_rate": 8.487778668693797e-06, + "loss": 0.9877, + "step": 1436 + }, + { + "epoch": 0.83, + "learning_rate": 8.485542146337424e-06, + "loss": 0.8958, + "step": 1437 + }, + { + "epoch": 0.83, + "learning_rate": 8.483304266469148e-06, + "loss": 1.0236, + "step": 1438 + }, + { + "epoch": 0.83, + "learning_rate": 8.481065029960548e-06, + "loss": 0.936, + "step": 1439 + }, + { + "epoch": 0.83, + "learning_rate": 8.478824437683742e-06, + "loss": 0.9118, + "step": 1440 + }, + { + "epoch": 0.83, + "learning_rate": 8.476582490511373e-06, + "loss": 0.9584, + "step": 1441 + }, + { + "epoch": 0.83, + "learning_rate": 8.474339189316607e-06, + "loss": 0.9937, + "step": 1442 + }, + { + "epoch": 0.83, + "learning_rate": 8.472094534973143e-06, + "loss": 0.8702, + "step": 1443 + }, + { + "epoch": 0.83, + "learning_rate": 8.469848528355208e-06, + "loss": 0.9191, + "step": 1444 + }, + { + "epoch": 0.83, + "learning_rate": 8.467601170337548e-06, + "loss": 0.9978, + "step": 1445 + }, + { + "epoch": 0.84, + "learning_rate": 8.465352461795443e-06, + "loss": 0.9037, + "step": 1446 + }, + { + "epoch": 0.84, + "learning_rate": 8.463102403604697e-06, + "loss": 1.0339, + "step": 1447 + }, + { + "epoch": 0.84, + "learning_rate": 8.460850996641635e-06, + "loss": 1.0317, + "step": 1448 + }, + { + "epoch": 0.84, + "learning_rate": 8.458598241783112e-06, + "loss": 1.015, + "step": 1449 + }, + { + "epoch": 0.84, + "learning_rate": 8.45634413990651e-06, + "loss": 1.0457, + "step": 1450 + }, + { + "epoch": 0.84, + "learning_rate": 8.45408869188973e-06, + "loss": 0.8485, + "step": 1451 + }, + { + "epoch": 0.84, + "learning_rate": 8.451831898611202e-06, + "loss": 0.9281, + "step": 1452 + }, + { + "epoch": 0.84, + "learning_rate": 8.449573760949876e-06, + "loss": 1.0014, + "step": 1453 + }, + { + "epoch": 0.84, + "learning_rate": 8.447314279785228e-06, + "loss": 0.9047, + "step": 1454 + }, + { + "epoch": 0.84, + "learning_rate": 8.445053455997256e-06, + "loss": 0.8937, + "step": 1455 + }, + { + "epoch": 0.84, + "learning_rate": 8.442791290466483e-06, + "loss": 0.8027, + "step": 1456 + }, + { + "epoch": 0.84, + "learning_rate": 8.440527784073953e-06, + "loss": 0.9251, + "step": 1457 + }, + { + "epoch": 0.84, + "learning_rate": 8.438262937701232e-06, + "loss": 0.9703, + "step": 1458 + }, + { + "epoch": 0.84, + "learning_rate": 8.435996752230408e-06, + "loss": 0.9422, + "step": 1459 + }, + { + "epoch": 0.84, + "learning_rate": 8.433729228544092e-06, + "loss": 0.911, + "step": 1460 + }, + { + "epoch": 0.84, + "learning_rate": 8.431460367525412e-06, + "loss": 0.8487, + "step": 1461 + }, + { + "epoch": 0.84, + "learning_rate": 8.429190170058024e-06, + "loss": 1.1255, + "step": 1462 + }, + { + "epoch": 0.85, + "learning_rate": 8.426918637026097e-06, + "loss": 0.8608, + "step": 1463 + }, + { + "epoch": 0.85, + "learning_rate": 8.424645769314324e-06, + "loss": 0.9629, + "step": 1464 + }, + { + "epoch": 0.85, + "learning_rate": 8.422371567807921e-06, + "loss": 1.0172, + "step": 1465 + }, + { + "epoch": 0.85, + "learning_rate": 8.420096033392615e-06, + "loss": 1.0182, + "step": 1466 + }, + { + "epoch": 0.85, + "learning_rate": 8.417819166954659e-06, + "loss": 0.8028, + "step": 1467 + }, + { + "epoch": 0.85, + "learning_rate": 8.415540969380824e-06, + "loss": 0.8301, + "step": 1468 + }, + { + "epoch": 0.85, + "learning_rate": 8.413261441558397e-06, + "loss": 0.8579, + "step": 1469 + }, + { + "epoch": 0.85, + "learning_rate": 8.410980584375184e-06, + "loss": 1.0516, + "step": 1470 + }, + { + "epoch": 0.85, + "learning_rate": 8.408698398719509e-06, + "loss": 0.929, + "step": 1471 + }, + { + "epoch": 0.85, + "learning_rate": 8.406414885480215e-06, + "loss": 0.956, + "step": 1472 + }, + { + "epoch": 0.85, + "learning_rate": 8.404130045546657e-06, + "loss": 1.0098, + "step": 1473 + }, + { + "epoch": 0.85, + "learning_rate": 8.401843879808713e-06, + "loss": 0.796, + "step": 1474 + }, + { + "epoch": 0.85, + "learning_rate": 8.399556389156773e-06, + "loss": 0.8273, + "step": 1475 + }, + { + "epoch": 0.85, + "learning_rate": 8.397267574481746e-06, + "loss": 0.9059, + "step": 1476 + }, + { + "epoch": 0.85, + "learning_rate": 8.394977436675056e-06, + "loss": 0.9197, + "step": 1477 + }, + { + "epoch": 0.85, + "learning_rate": 8.392685976628638e-06, + "loss": 0.9879, + "step": 1478 + }, + { + "epoch": 0.85, + "learning_rate": 8.39039319523495e-06, + "loss": 0.8722, + "step": 1479 + }, + { + "epoch": 0.86, + "learning_rate": 8.388099093386957e-06, + "loss": 0.9692, + "step": 1480 + }, + { + "epoch": 0.86, + "learning_rate": 8.38580367197814e-06, + "loss": 1.0045, + "step": 1481 + }, + { + "epoch": 0.86, + "learning_rate": 8.3835069319025e-06, + "loss": 0.9617, + "step": 1482 + }, + { + "epoch": 0.86, + "learning_rate": 8.381208874054542e-06, + "loss": 0.8805, + "step": 1483 + }, + { + "epoch": 0.86, + "learning_rate": 8.378909499329294e-06, + "loss": 0.9755, + "step": 1484 + }, + { + "epoch": 0.86, + "learning_rate": 8.376608808622287e-06, + "loss": 0.9124, + "step": 1485 + }, + { + "epoch": 0.86, + "learning_rate": 8.374306802829574e-06, + "loss": 0.9246, + "step": 1486 + }, + { + "epoch": 0.86, + "learning_rate": 8.372003482847715e-06, + "loss": 0.7819, + "step": 1487 + }, + { + "epoch": 0.86, + "learning_rate": 8.369698849573778e-06, + "loss": 0.9715, + "step": 1488 + }, + { + "epoch": 0.86, + "learning_rate": 8.367392903905354e-06, + "loss": 0.9585, + "step": 1489 + }, + { + "epoch": 0.86, + "learning_rate": 8.365085646740533e-06, + "loss": 0.9815, + "step": 1490 + }, + { + "epoch": 0.86, + "learning_rate": 8.362777078977922e-06, + "loss": 1.0392, + "step": 1491 + }, + { + "epoch": 0.86, + "learning_rate": 8.36046720151664e-06, + "loss": 1.0063, + "step": 1492 + }, + { + "epoch": 0.86, + "learning_rate": 8.35815601525631e-06, + "loss": 1.1032, + "step": 1493 + }, + { + "epoch": 0.86, + "learning_rate": 8.355843521097071e-06, + "loss": 1.0424, + "step": 1494 + }, + { + "epoch": 0.86, + "learning_rate": 8.353529719939568e-06, + "loss": 0.7762, + "step": 1495 + }, + { + "epoch": 0.86, + "learning_rate": 8.351214612684954e-06, + "loss": 0.9752, + "step": 1496 + }, + { + "epoch": 0.86, + "learning_rate": 8.348898200234894e-06, + "loss": 1.0171, + "step": 1497 + }, + { + "epoch": 0.87, + "learning_rate": 8.34658048349156e-06, + "loss": 0.964, + "step": 1498 + }, + { + "epoch": 0.87, + "learning_rate": 8.34426146335763e-06, + "loss": 0.9035, + "step": 1499 + }, + { + "epoch": 0.87, + "learning_rate": 8.341941140736292e-06, + "loss": 0.9203, + "step": 1500 + }, + { + "epoch": 0.87, + "eval_loss": 1.064848780632019, + "eval_runtime": 93.4679, + "eval_samples_per_second": 16.498, + "eval_steps_per_second": 2.065, + "step": 1500 + } + ], + "logging_steps": 1.0, + "max_steps": 5190, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 500, + "total_flos": 8314415961866240.0, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}