diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,14596 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 2428, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 1.36986301369863e-07, + "loss": 1.7461, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 2.73972602739726e-07, + "loss": 1.8203, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 4.1095890410958903e-07, + "loss": 1.8057, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 5.47945205479452e-07, + "loss": 1.7764, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 6.849315068493151e-07, + "loss": 1.709, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 8.219178082191781e-07, + "loss": 1.8711, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 9.589041095890411e-07, + "loss": 1.75, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 1.095890410958904e-06, + "loss": 1.8271, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 1.2328767123287673e-06, + "loss": 1.8252, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 1.3698630136986302e-06, + "loss": 1.8164, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 1.5068493150684932e-06, + "loss": 1.8252, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 1.6438356164383561e-06, + "loss": 1.8438, + "step": 12 + }, + { + "epoch": 0.01, + "learning_rate": 1.7808219178082193e-06, + "loss": 1.7969, + "step": 13 + }, + { + "epoch": 0.01, + "learning_rate": 1.9178082191780823e-06, + "loss": 1.8623, + "step": 14 + }, + { + "epoch": 0.01, + "learning_rate": 2.0547945205479454e-06, + "loss": 1.7861, + "step": 15 + }, + { + "epoch": 0.01, + "learning_rate": 2.191780821917808e-06, + "loss": 1.8477, + "step": 16 + }, + { + "epoch": 0.01, + "learning_rate": 2.3287671232876713e-06, + "loss": 1.9336, + "step": 17 + }, + { + "epoch": 0.01, + "learning_rate": 2.4657534246575345e-06, + "loss": 1.7793, + "step": 18 + }, + { + "epoch": 0.01, + "learning_rate": 2.6027397260273973e-06, + "loss": 1.7891, + "step": 19 + }, + { + "epoch": 0.01, + "learning_rate": 2.7397260273972604e-06, + "loss": 1.7568, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 2.876712328767123e-06, + "loss": 1.7334, + "step": 21 + }, + { + "epoch": 0.01, + "learning_rate": 3.0136986301369864e-06, + "loss": 1.6445, + "step": 22 + }, + { + "epoch": 0.01, + "learning_rate": 3.1506849315068495e-06, + "loss": 1.7939, + "step": 23 + }, + { + "epoch": 0.01, + "learning_rate": 3.2876712328767123e-06, + "loss": 1.7139, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 3.4246575342465754e-06, + "loss": 1.7695, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 3.5616438356164386e-06, + "loss": 1.6689, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 3.6986301369863014e-06, + "loss": 1.6699, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 3.8356164383561645e-06, + "loss": 1.6709, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 3.972602739726027e-06, + "loss": 1.5879, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 4.109589041095891e-06, + "loss": 1.5781, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 4.246575342465754e-06, + "loss": 1.6162, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 4.383561643835616e-06, + "loss": 1.6562, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 4.52054794520548e-06, + "loss": 1.5303, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 4.657534246575343e-06, + "loss": 1.5654, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 4.7945205479452054e-06, + "loss": 1.6201, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 4.931506849315069e-06, + "loss": 1.585, + "step": 36 + }, + { + "epoch": 0.02, + "learning_rate": 5.068493150684932e-06, + "loss": 1.4912, + "step": 37 + }, + { + "epoch": 0.02, + "learning_rate": 5.2054794520547945e-06, + "loss": 1.5381, + "step": 38 + }, + { + "epoch": 0.02, + "learning_rate": 5.342465753424658e-06, + "loss": 1.5752, + "step": 39 + }, + { + "epoch": 0.02, + "learning_rate": 5.479452054794521e-06, + "loss": 1.4893, + "step": 40 + }, + { + "epoch": 0.02, + "learning_rate": 5.6164383561643845e-06, + "loss": 1.542, + "step": 41 + }, + { + "epoch": 0.02, + "learning_rate": 5.753424657534246e-06, + "loss": 1.5332, + "step": 42 + }, + { + "epoch": 0.02, + "learning_rate": 5.89041095890411e-06, + "loss": 1.5654, + "step": 43 + }, + { + "epoch": 0.02, + "learning_rate": 6.027397260273973e-06, + "loss": 1.5283, + "step": 44 + }, + { + "epoch": 0.02, + "learning_rate": 6.164383561643836e-06, + "loss": 1.4121, + "step": 45 + }, + { + "epoch": 0.02, + "learning_rate": 6.301369863013699e-06, + "loss": 1.4678, + "step": 46 + }, + { + "epoch": 0.02, + "learning_rate": 6.438356164383563e-06, + "loss": 1.4824, + "step": 47 + }, + { + "epoch": 0.02, + "learning_rate": 6.5753424657534245e-06, + "loss": 1.4893, + "step": 48 + }, + { + "epoch": 0.02, + "learning_rate": 6.712328767123288e-06, + "loss": 1.4404, + "step": 49 + }, + { + "epoch": 0.02, + "learning_rate": 6.849315068493151e-06, + "loss": 1.4053, + "step": 50 + }, + { + "epoch": 0.02, + "learning_rate": 6.9863013698630145e-06, + "loss": 1.4326, + "step": 51 + }, + { + "epoch": 0.02, + "learning_rate": 7.123287671232877e-06, + "loss": 1.4717, + "step": 52 + }, + { + "epoch": 0.02, + "learning_rate": 7.260273972602741e-06, + "loss": 1.3701, + "step": 53 + }, + { + "epoch": 0.02, + "learning_rate": 7.397260273972603e-06, + "loss": 1.4238, + "step": 54 + }, + { + "epoch": 0.02, + "learning_rate": 7.534246575342466e-06, + "loss": 1.3672, + "step": 55 + }, + { + "epoch": 0.02, + "learning_rate": 7.671232876712329e-06, + "loss": 1.4424, + "step": 56 + }, + { + "epoch": 0.02, + "learning_rate": 7.808219178082192e-06, + "loss": 1.3633, + "step": 57 + }, + { + "epoch": 0.02, + "learning_rate": 7.945205479452055e-06, + "loss": 1.4258, + "step": 58 + }, + { + "epoch": 0.02, + "learning_rate": 8.082191780821919e-06, + "loss": 1.2329, + "step": 59 + }, + { + "epoch": 0.02, + "learning_rate": 8.219178082191782e-06, + "loss": 1.2744, + "step": 60 + }, + { + "epoch": 0.03, + "learning_rate": 8.356164383561644e-06, + "loss": 1.3242, + "step": 61 + }, + { + "epoch": 0.03, + "learning_rate": 8.493150684931507e-06, + "loss": 1.2539, + "step": 62 + }, + { + "epoch": 0.03, + "learning_rate": 8.63013698630137e-06, + "loss": 1.3594, + "step": 63 + }, + { + "epoch": 0.03, + "learning_rate": 8.767123287671233e-06, + "loss": 1.3203, + "step": 64 + }, + { + "epoch": 0.03, + "learning_rate": 8.904109589041097e-06, + "loss": 1.2051, + "step": 65 + }, + { + "epoch": 0.03, + "learning_rate": 9.04109589041096e-06, + "loss": 1.3926, + "step": 66 + }, + { + "epoch": 0.03, + "learning_rate": 9.178082191780823e-06, + "loss": 1.2695, + "step": 67 + }, + { + "epoch": 0.03, + "learning_rate": 9.315068493150685e-06, + "loss": 1.3203, + "step": 68 + }, + { + "epoch": 0.03, + "learning_rate": 9.452054794520548e-06, + "loss": 1.335, + "step": 69 + }, + { + "epoch": 0.03, + "learning_rate": 9.589041095890411e-06, + "loss": 1.3076, + "step": 70 + }, + { + "epoch": 0.03, + "learning_rate": 9.726027397260275e-06, + "loss": 1.2944, + "step": 71 + }, + { + "epoch": 0.03, + "learning_rate": 9.863013698630138e-06, + "loss": 1.1631, + "step": 72 + }, + { + "epoch": 0.03, + "learning_rate": 1e-05, + "loss": 1.3525, + "step": 73 + }, + { + "epoch": 0.03, + "learning_rate": 9.9999955510465e-06, + "loss": 1.3223, + "step": 74 + }, + { + "epoch": 0.03, + "learning_rate": 9.999982204193912e-06, + "loss": 1.3408, + "step": 75 + }, + { + "epoch": 0.03, + "learning_rate": 9.99995995946599e-06, + "loss": 1.2974, + "step": 76 + }, + { + "epoch": 0.03, + "learning_rate": 9.99992881690232e-06, + "loss": 1.3057, + "step": 77 + }, + { + "epoch": 0.03, + "learning_rate": 9.999888776558325e-06, + "loss": 1.3076, + "step": 78 + }, + { + "epoch": 0.03, + "learning_rate": 9.999839838505257e-06, + "loss": 1.2065, + "step": 79 + }, + { + "epoch": 0.03, + "learning_rate": 9.999782002830206e-06, + "loss": 1.2686, + "step": 80 + }, + { + "epoch": 0.03, + "learning_rate": 9.999715269636094e-06, + "loss": 1.1885, + "step": 81 + }, + { + "epoch": 0.03, + "learning_rate": 9.999639639041681e-06, + "loss": 1.2812, + "step": 82 + }, + { + "epoch": 0.03, + "learning_rate": 9.999555111181558e-06, + "loss": 1.2832, + "step": 83 + }, + { + "epoch": 0.03, + "learning_rate": 9.999461686206146e-06, + "loss": 1.2002, + "step": 84 + }, + { + "epoch": 0.04, + "learning_rate": 9.999359364281704e-06, + "loss": 1.291, + "step": 85 + }, + { + "epoch": 0.04, + "learning_rate": 9.999248145590324e-06, + "loss": 1.2046, + "step": 86 + }, + { + "epoch": 0.04, + "learning_rate": 9.999128030329924e-06, + "loss": 1.2798, + "step": 87 + }, + { + "epoch": 0.04, + "learning_rate": 9.998999018714264e-06, + "loss": 1.2002, + "step": 88 + }, + { + "epoch": 0.04, + "learning_rate": 9.998861110972929e-06, + "loss": 1.2798, + "step": 89 + }, + { + "epoch": 0.04, + "learning_rate": 9.998714307351334e-06, + "loss": 1.1528, + "step": 90 + }, + { + "epoch": 0.04, + "learning_rate": 9.998558608110733e-06, + "loss": 1.168, + "step": 91 + }, + { + "epoch": 0.04, + "learning_rate": 9.998394013528201e-06, + "loss": 1.2451, + "step": 92 + }, + { + "epoch": 0.04, + "learning_rate": 9.99822052389665e-06, + "loss": 1.2363, + "step": 93 + }, + { + "epoch": 0.04, + "learning_rate": 9.99803813952482e-06, + "loss": 1.2661, + "step": 94 + }, + { + "epoch": 0.04, + "learning_rate": 9.997846860737276e-06, + "loss": 1.1011, + "step": 95 + }, + { + "epoch": 0.04, + "learning_rate": 9.997646687874416e-06, + "loss": 1.2026, + "step": 96 + }, + { + "epoch": 0.04, + "learning_rate": 9.997437621292463e-06, + "loss": 1.1416, + "step": 97 + }, + { + "epoch": 0.04, + "learning_rate": 9.99721966136347e-06, + "loss": 1.1865, + "step": 98 + }, + { + "epoch": 0.04, + "learning_rate": 9.99699280847531e-06, + "loss": 1.1938, + "step": 99 + }, + { + "epoch": 0.04, + "learning_rate": 9.99675706303169e-06, + "loss": 1.144, + "step": 100 + }, + { + "epoch": 0.04, + "learning_rate": 9.996512425452138e-06, + "loss": 1.1548, + "step": 101 + }, + { + "epoch": 0.04, + "learning_rate": 9.996258896172005e-06, + "loss": 1.2061, + "step": 102 + }, + { + "epoch": 0.04, + "learning_rate": 9.995996475642466e-06, + "loss": 1.2695, + "step": 103 + }, + { + "epoch": 0.04, + "learning_rate": 9.995725164330523e-06, + "loss": 1.2607, + "step": 104 + }, + { + "epoch": 0.04, + "learning_rate": 9.995444962718994e-06, + "loss": 1.1401, + "step": 105 + }, + { + "epoch": 0.04, + "learning_rate": 9.995155871306524e-06, + "loss": 1.2017, + "step": 106 + }, + { + "epoch": 0.04, + "learning_rate": 9.99485789060757e-06, + "loss": 1.0908, + "step": 107 + }, + { + "epoch": 0.04, + "learning_rate": 9.994551021152415e-06, + "loss": 1.1323, + "step": 108 + }, + { + "epoch": 0.04, + "learning_rate": 9.994235263487158e-06, + "loss": 1.2026, + "step": 109 + }, + { + "epoch": 0.05, + "learning_rate": 9.993910618173717e-06, + "loss": 1.1836, + "step": 110 + }, + { + "epoch": 0.05, + "learning_rate": 9.993577085789824e-06, + "loss": 1.2466, + "step": 111 + }, + { + "epoch": 0.05, + "learning_rate": 9.993234666929024e-06, + "loss": 1.2622, + "step": 112 + }, + { + "epoch": 0.05, + "learning_rate": 9.992883362200683e-06, + "loss": 1.0928, + "step": 113 + }, + { + "epoch": 0.05, + "learning_rate": 9.992523172229975e-06, + "loss": 1.2593, + "step": 114 + }, + { + "epoch": 0.05, + "learning_rate": 9.992154097657888e-06, + "loss": 1.0977, + "step": 115 + }, + { + "epoch": 0.05, + "learning_rate": 9.991776139141219e-06, + "loss": 1.1855, + "step": 116 + }, + { + "epoch": 0.05, + "learning_rate": 9.991389297352577e-06, + "loss": 1.1621, + "step": 117 + }, + { + "epoch": 0.05, + "learning_rate": 9.99099357298038e-06, + "loss": 1.3018, + "step": 118 + }, + { + "epoch": 0.05, + "learning_rate": 9.990588966728846e-06, + "loss": 1.2124, + "step": 119 + }, + { + "epoch": 0.05, + "learning_rate": 9.990175479318011e-06, + "loss": 1.2979, + "step": 120 + }, + { + "epoch": 0.05, + "learning_rate": 9.989753111483707e-06, + "loss": 1.1841, + "step": 121 + }, + { + "epoch": 0.05, + "learning_rate": 9.989321863977572e-06, + "loss": 1.2314, + "step": 122 + }, + { + "epoch": 0.05, + "learning_rate": 9.988881737567046e-06, + "loss": 1.123, + "step": 123 + }, + { + "epoch": 0.05, + "learning_rate": 9.988432733035369e-06, + "loss": 1.2017, + "step": 124 + }, + { + "epoch": 0.05, + "learning_rate": 9.987974851181583e-06, + "loss": 1.0327, + "step": 125 + }, + { + "epoch": 0.05, + "learning_rate": 9.987508092820524e-06, + "loss": 1.1426, + "step": 126 + }, + { + "epoch": 0.05, + "learning_rate": 9.987032458782828e-06, + "loss": 1.1318, + "step": 127 + }, + { + "epoch": 0.05, + "learning_rate": 9.986547949914925e-06, + "loss": 1.3086, + "step": 128 + }, + { + "epoch": 0.05, + "learning_rate": 9.986054567079036e-06, + "loss": 1.2197, + "step": 129 + }, + { + "epoch": 0.05, + "learning_rate": 9.985552311153178e-06, + "loss": 1.1074, + "step": 130 + }, + { + "epoch": 0.05, + "learning_rate": 9.985041183031154e-06, + "loss": 1.0684, + "step": 131 + }, + { + "epoch": 0.05, + "learning_rate": 9.98452118362256e-06, + "loss": 1.3213, + "step": 132 + }, + { + "epoch": 0.05, + "learning_rate": 9.983992313852776e-06, + "loss": 1.1309, + "step": 133 + }, + { + "epoch": 0.06, + "learning_rate": 9.98345457466297e-06, + "loss": 1.189, + "step": 134 + }, + { + "epoch": 0.06, + "learning_rate": 9.982907967010092e-06, + "loss": 1.1865, + "step": 135 + }, + { + "epoch": 0.06, + "learning_rate": 9.982352491866874e-06, + "loss": 1.1133, + "step": 136 + }, + { + "epoch": 0.06, + "learning_rate": 9.981788150221829e-06, + "loss": 1.1011, + "step": 137 + }, + { + "epoch": 0.06, + "learning_rate": 9.981214943079252e-06, + "loss": 1.1333, + "step": 138 + }, + { + "epoch": 0.06, + "learning_rate": 9.980632871459209e-06, + "loss": 1.1514, + "step": 139 + }, + { + "epoch": 0.06, + "learning_rate": 9.980041936397545e-06, + "loss": 1.1904, + "step": 140 + }, + { + "epoch": 0.06, + "learning_rate": 9.979442138945876e-06, + "loss": 1.2168, + "step": 141 + }, + { + "epoch": 0.06, + "learning_rate": 9.978833480171592e-06, + "loss": 1.293, + "step": 142 + }, + { + "epoch": 0.06, + "learning_rate": 9.978215961157848e-06, + "loss": 1.1157, + "step": 143 + }, + { + "epoch": 0.06, + "learning_rate": 9.977589583003574e-06, + "loss": 1.1201, + "step": 144 + }, + { + "epoch": 0.06, + "learning_rate": 9.976954346823456e-06, + "loss": 1.1665, + "step": 145 + }, + { + "epoch": 0.06, + "learning_rate": 9.976310253747952e-06, + "loss": 1.208, + "step": 146 + }, + { + "epoch": 0.06, + "learning_rate": 9.975657304923275e-06, + "loss": 1.1235, + "step": 147 + }, + { + "epoch": 0.06, + "learning_rate": 9.974995501511404e-06, + "loss": 1.127, + "step": 148 + }, + { + "epoch": 0.06, + "learning_rate": 9.974324844690069e-06, + "loss": 1.1357, + "step": 149 + }, + { + "epoch": 0.06, + "learning_rate": 9.97364533565276e-06, + "loss": 1.2285, + "step": 150 + }, + { + "epoch": 0.06, + "learning_rate": 9.972956975608719e-06, + "loss": 1.2363, + "step": 151 + }, + { + "epoch": 0.06, + "learning_rate": 9.972259765782937e-06, + "loss": 1.062, + "step": 152 + }, + { + "epoch": 0.06, + "learning_rate": 9.971553707416157e-06, + "loss": 1.2173, + "step": 153 + }, + { + "epoch": 0.06, + "learning_rate": 9.970838801764866e-06, + "loss": 1.0972, + "step": 154 + }, + { + "epoch": 0.06, + "learning_rate": 9.970115050101298e-06, + "loss": 1.106, + "step": 155 + }, + { + "epoch": 0.06, + "learning_rate": 9.96938245371343e-06, + "loss": 1.0703, + "step": 156 + }, + { + "epoch": 0.06, + "learning_rate": 9.968641013904974e-06, + "loss": 1.2124, + "step": 157 + }, + { + "epoch": 0.07, + "learning_rate": 9.967890731995383e-06, + "loss": 1.1367, + "step": 158 + }, + { + "epoch": 0.07, + "learning_rate": 9.967131609319845e-06, + "loss": 1.2002, + "step": 159 + }, + { + "epoch": 0.07, + "learning_rate": 9.96636364722928e-06, + "loss": 1.1309, + "step": 160 + }, + { + "epoch": 0.07, + "learning_rate": 9.96558684709034e-06, + "loss": 1.1226, + "step": 161 + }, + { + "epoch": 0.07, + "learning_rate": 9.964801210285403e-06, + "loss": 1.1133, + "step": 162 + }, + { + "epoch": 0.07, + "learning_rate": 9.964006738212574e-06, + "loss": 1.1191, + "step": 163 + }, + { + "epoch": 0.07, + "learning_rate": 9.963203432285683e-06, + "loss": 1.187, + "step": 164 + }, + { + "epoch": 0.07, + "learning_rate": 9.962391293934277e-06, + "loss": 1.0942, + "step": 165 + }, + { + "epoch": 0.07, + "learning_rate": 9.96157032460362e-06, + "loss": 1.1328, + "step": 166 + }, + { + "epoch": 0.07, + "learning_rate": 9.960740525754696e-06, + "loss": 1.1465, + "step": 167 + }, + { + "epoch": 0.07, + "learning_rate": 9.959901898864196e-06, + "loss": 1.1147, + "step": 168 + }, + { + "epoch": 0.07, + "learning_rate": 9.959054445424532e-06, + "loss": 1.041, + "step": 169 + }, + { + "epoch": 0.07, + "learning_rate": 9.958198166943809e-06, + "loss": 1.0957, + "step": 170 + }, + { + "epoch": 0.07, + "learning_rate": 9.957333064945849e-06, + "loss": 1.1113, + "step": 171 + }, + { + "epoch": 0.07, + "learning_rate": 9.95645914097017e-06, + "loss": 1.2236, + "step": 172 + }, + { + "epoch": 0.07, + "learning_rate": 9.95557639657199e-06, + "loss": 1.2642, + "step": 173 + }, + { + "epoch": 0.07, + "learning_rate": 9.954684833322228e-06, + "loss": 1.0527, + "step": 174 + }, + { + "epoch": 0.07, + "learning_rate": 9.953784452807487e-06, + "loss": 1.0898, + "step": 175 + }, + { + "epoch": 0.07, + "learning_rate": 9.952875256630072e-06, + "loss": 1.0698, + "step": 176 + }, + { + "epoch": 0.07, + "learning_rate": 9.951957246407972e-06, + "loss": 1.1089, + "step": 177 + }, + { + "epoch": 0.07, + "learning_rate": 9.951030423774858e-06, + "loss": 1.0786, + "step": 178 + }, + { + "epoch": 0.07, + "learning_rate": 9.950094790380089e-06, + "loss": 1.0908, + "step": 179 + }, + { + "epoch": 0.07, + "learning_rate": 9.9491503478887e-06, + "loss": 1.2061, + "step": 180 + }, + { + "epoch": 0.07, + "learning_rate": 9.948197097981401e-06, + "loss": 1.0942, + "step": 181 + }, + { + "epoch": 0.07, + "learning_rate": 9.94723504235458e-06, + "loss": 1.0986, + "step": 182 + }, + { + "epoch": 0.08, + "learning_rate": 9.946264182720295e-06, + "loss": 1.0322, + "step": 183 + }, + { + "epoch": 0.08, + "learning_rate": 9.945284520806267e-06, + "loss": 1.1289, + "step": 184 + }, + { + "epoch": 0.08, + "learning_rate": 9.944296058355884e-06, + "loss": 1.041, + "step": 185 + }, + { + "epoch": 0.08, + "learning_rate": 9.943298797128198e-06, + "loss": 1.0894, + "step": 186 + }, + { + "epoch": 0.08, + "learning_rate": 9.942292738897914e-06, + "loss": 1.1216, + "step": 187 + }, + { + "epoch": 0.08, + "learning_rate": 9.941277885455396e-06, + "loss": 1.0869, + "step": 188 + }, + { + "epoch": 0.08, + "learning_rate": 9.940254238606657e-06, + "loss": 1.1475, + "step": 189 + }, + { + "epoch": 0.08, + "learning_rate": 9.93922180017336e-06, + "loss": 1.0532, + "step": 190 + }, + { + "epoch": 0.08, + "learning_rate": 9.938180571992814e-06, + "loss": 1.1606, + "step": 191 + }, + { + "epoch": 0.08, + "learning_rate": 9.93713055591797e-06, + "loss": 1.0767, + "step": 192 + }, + { + "epoch": 0.08, + "learning_rate": 9.936071753817416e-06, + "loss": 1.1333, + "step": 193 + }, + { + "epoch": 0.08, + "learning_rate": 9.935004167575377e-06, + "loss": 1.1816, + "step": 194 + }, + { + "epoch": 0.08, + "learning_rate": 9.933927799091708e-06, + "loss": 1.0547, + "step": 195 + }, + { + "epoch": 0.08, + "learning_rate": 9.932842650281897e-06, + "loss": 1.1177, + "step": 196 + }, + { + "epoch": 0.08, + "learning_rate": 9.931748723077053e-06, + "loss": 1.0605, + "step": 197 + }, + { + "epoch": 0.08, + "learning_rate": 9.930646019423909e-06, + "loss": 0.9521, + "step": 198 + }, + { + "epoch": 0.08, + "learning_rate": 9.929534541284814e-06, + "loss": 1.0547, + "step": 199 + }, + { + "epoch": 0.08, + "learning_rate": 9.928414290637738e-06, + "loss": 1.084, + "step": 200 + }, + { + "epoch": 0.08, + "learning_rate": 9.927285269476254e-06, + "loss": 1.0991, + "step": 201 + }, + { + "epoch": 0.08, + "learning_rate": 9.92614747980955e-06, + "loss": 1.1309, + "step": 202 + }, + { + "epoch": 0.08, + "learning_rate": 9.925000923662413e-06, + "loss": 1.0884, + "step": 203 + }, + { + "epoch": 0.08, + "learning_rate": 9.923845603075235e-06, + "loss": 1.2085, + "step": 204 + }, + { + "epoch": 0.08, + "learning_rate": 9.922681520104002e-06, + "loss": 1.1611, + "step": 205 + }, + { + "epoch": 0.08, + "learning_rate": 9.921508676820296e-06, + "loss": 1.0332, + "step": 206 + }, + { + "epoch": 0.09, + "learning_rate": 9.920327075311283e-06, + "loss": 1.2393, + "step": 207 + }, + { + "epoch": 0.09, + "learning_rate": 9.919136717679723e-06, + "loss": 1.1348, + "step": 208 + }, + { + "epoch": 0.09, + "learning_rate": 9.917937606043952e-06, + "loss": 1.0171, + "step": 209 + }, + { + "epoch": 0.09, + "learning_rate": 9.91672974253789e-06, + "loss": 1.0254, + "step": 210 + }, + { + "epoch": 0.09, + "learning_rate": 9.915513129311025e-06, + "loss": 0.9883, + "step": 211 + }, + { + "epoch": 0.09, + "learning_rate": 9.91428776852842e-06, + "loss": 1.3428, + "step": 212 + }, + { + "epoch": 0.09, + "learning_rate": 9.913053662370706e-06, + "loss": 1.1118, + "step": 213 + }, + { + "epoch": 0.09, + "learning_rate": 9.911810813034073e-06, + "loss": 1.1646, + "step": 214 + }, + { + "epoch": 0.09, + "learning_rate": 9.910559222730274e-06, + "loss": 1.1938, + "step": 215 + }, + { + "epoch": 0.09, + "learning_rate": 9.909298893686617e-06, + "loss": 1.0967, + "step": 216 + }, + { + "epoch": 0.09, + "learning_rate": 9.908029828145956e-06, + "loss": 1.0894, + "step": 217 + }, + { + "epoch": 0.09, + "learning_rate": 9.906752028366702e-06, + "loss": 1.1929, + "step": 218 + }, + { + "epoch": 0.09, + "learning_rate": 9.905465496622798e-06, + "loss": 1.0298, + "step": 219 + }, + { + "epoch": 0.09, + "learning_rate": 9.904170235203737e-06, + "loss": 1.1577, + "step": 220 + }, + { + "epoch": 0.09, + "learning_rate": 9.902866246414537e-06, + "loss": 1.1758, + "step": 221 + }, + { + "epoch": 0.09, + "learning_rate": 9.901553532575759e-06, + "loss": 1.0547, + "step": 222 + }, + { + "epoch": 0.09, + "learning_rate": 9.900232096023478e-06, + "loss": 1.0835, + "step": 223 + }, + { + "epoch": 0.09, + "learning_rate": 9.8989019391093e-06, + "loss": 1.1001, + "step": 224 + }, + { + "epoch": 0.09, + "learning_rate": 9.897563064200348e-06, + "loss": 1.0664, + "step": 225 + }, + { + "epoch": 0.09, + "learning_rate": 9.896215473679259e-06, + "loss": 1.0352, + "step": 226 + }, + { + "epoch": 0.09, + "learning_rate": 9.89485916994418e-06, + "loss": 1.0786, + "step": 227 + }, + { + "epoch": 0.09, + "learning_rate": 9.893494155408761e-06, + "loss": 1.1367, + "step": 228 + }, + { + "epoch": 0.09, + "learning_rate": 9.892120432502161e-06, + "loss": 1.1416, + "step": 229 + }, + { + "epoch": 0.09, + "learning_rate": 9.890738003669029e-06, + "loss": 1.1602, + "step": 230 + }, + { + "epoch": 0.1, + "learning_rate": 9.889346871369511e-06, + "loss": 1.0664, + "step": 231 + }, + { + "epoch": 0.1, + "learning_rate": 9.887947038079238e-06, + "loss": 0.9717, + "step": 232 + }, + { + "epoch": 0.1, + "learning_rate": 9.88653850628933e-06, + "loss": 1.02, + "step": 233 + }, + { + "epoch": 0.1, + "learning_rate": 9.885121278506382e-06, + "loss": 1.1685, + "step": 234 + }, + { + "epoch": 0.1, + "learning_rate": 9.883695357252467e-06, + "loss": 1.0205, + "step": 235 + }, + { + "epoch": 0.1, + "learning_rate": 9.882260745065128e-06, + "loss": 0.9971, + "step": 236 + }, + { + "epoch": 0.1, + "learning_rate": 9.880817444497375e-06, + "loss": 1.106, + "step": 237 + }, + { + "epoch": 0.1, + "learning_rate": 9.879365458117678e-06, + "loss": 1.1455, + "step": 238 + }, + { + "epoch": 0.1, + "learning_rate": 9.877904788509964e-06, + "loss": 1.2119, + "step": 239 + }, + { + "epoch": 0.1, + "learning_rate": 9.876435438273614e-06, + "loss": 1.0396, + "step": 240 + }, + { + "epoch": 0.1, + "learning_rate": 9.874957410023458e-06, + "loss": 1.0459, + "step": 241 + }, + { + "epoch": 0.1, + "learning_rate": 9.873470706389765e-06, + "loss": 1.1914, + "step": 242 + }, + { + "epoch": 0.1, + "learning_rate": 9.871975330018246e-06, + "loss": 1.0771, + "step": 243 + }, + { + "epoch": 0.1, + "learning_rate": 9.870471283570046e-06, + "loss": 1.0972, + "step": 244 + }, + { + "epoch": 0.1, + "learning_rate": 9.868958569721738e-06, + "loss": 1.1128, + "step": 245 + }, + { + "epoch": 0.1, + "learning_rate": 9.867437191165318e-06, + "loss": 1.105, + "step": 246 + }, + { + "epoch": 0.1, + "learning_rate": 9.865907150608203e-06, + "loss": 1.0942, + "step": 247 + }, + { + "epoch": 0.1, + "learning_rate": 9.864368450773227e-06, + "loss": 1.1245, + "step": 248 + }, + { + "epoch": 0.1, + "learning_rate": 9.862821094398631e-06, + "loss": 1.0996, + "step": 249 + }, + { + "epoch": 0.1, + "learning_rate": 9.86126508423806e-06, + "loss": 0.9609, + "step": 250 + }, + { + "epoch": 0.1, + "learning_rate": 9.859700423060561e-06, + "loss": 1.084, + "step": 251 + }, + { + "epoch": 0.1, + "learning_rate": 9.858127113650576e-06, + "loss": 0.9849, + "step": 252 + }, + { + "epoch": 0.1, + "learning_rate": 9.856545158807938e-06, + "loss": 1.1973, + "step": 253 + }, + { + "epoch": 0.1, + "learning_rate": 9.854954561347864e-06, + "loss": 0.9761, + "step": 254 + }, + { + "epoch": 0.11, + "learning_rate": 9.853355324100953e-06, + "loss": 1.0239, + "step": 255 + }, + { + "epoch": 0.11, + "learning_rate": 9.851747449913176e-06, + "loss": 1.0762, + "step": 256 + }, + { + "epoch": 0.11, + "learning_rate": 9.850130941645876e-06, + "loss": 1.187, + "step": 257 + }, + { + "epoch": 0.11, + "learning_rate": 9.848505802175762e-06, + "loss": 1.1025, + "step": 258 + }, + { + "epoch": 0.11, + "learning_rate": 9.846872034394902e-06, + "loss": 1.0361, + "step": 259 + }, + { + "epoch": 0.11, + "learning_rate": 9.845229641210719e-06, + "loss": 1.0327, + "step": 260 + }, + { + "epoch": 0.11, + "learning_rate": 9.843578625545981e-06, + "loss": 1.187, + "step": 261 + }, + { + "epoch": 0.11, + "learning_rate": 9.841918990338812e-06, + "loss": 1.1074, + "step": 262 + }, + { + "epoch": 0.11, + "learning_rate": 9.840250738542663e-06, + "loss": 1.0303, + "step": 263 + }, + { + "epoch": 0.11, + "learning_rate": 9.838573873126326e-06, + "loss": 1.1455, + "step": 264 + }, + { + "epoch": 0.11, + "learning_rate": 9.836888397073919e-06, + "loss": 1.0479, + "step": 265 + }, + { + "epoch": 0.11, + "learning_rate": 9.835194313384884e-06, + "loss": 1.1143, + "step": 266 + }, + { + "epoch": 0.11, + "learning_rate": 9.83349162507398e-06, + "loss": 1.1699, + "step": 267 + }, + { + "epoch": 0.11, + "learning_rate": 9.83178033517128e-06, + "loss": 1.0303, + "step": 268 + }, + { + "epoch": 0.11, + "learning_rate": 9.83006044672216e-06, + "loss": 0.9976, + "step": 269 + }, + { + "epoch": 0.11, + "learning_rate": 9.82833196278731e-06, + "loss": 1.0532, + "step": 270 + }, + { + "epoch": 0.11, + "learning_rate": 9.8265948864427e-06, + "loss": 1.1606, + "step": 271 + }, + { + "epoch": 0.11, + "learning_rate": 9.824849220779604e-06, + "loss": 1.0381, + "step": 272 + }, + { + "epoch": 0.11, + "learning_rate": 9.823094968904572e-06, + "loss": 1.1318, + "step": 273 + }, + { + "epoch": 0.11, + "learning_rate": 9.82133213393944e-06, + "loss": 1.082, + "step": 274 + }, + { + "epoch": 0.11, + "learning_rate": 9.819560719021318e-06, + "loss": 0.979, + "step": 275 + }, + { + "epoch": 0.11, + "learning_rate": 9.81778072730258e-06, + "loss": 0.9985, + "step": 276 + }, + { + "epoch": 0.11, + "learning_rate": 9.815992161950867e-06, + "loss": 0.9629, + "step": 277 + }, + { + "epoch": 0.11, + "learning_rate": 9.814195026149077e-06, + "loss": 0.9102, + "step": 278 + }, + { + "epoch": 0.11, + "learning_rate": 9.812389323095359e-06, + "loss": 1.2002, + "step": 279 + }, + { + "epoch": 0.12, + "learning_rate": 9.81057505600311e-06, + "loss": 0.9727, + "step": 280 + }, + { + "epoch": 0.12, + "learning_rate": 9.808752228100965e-06, + "loss": 1.0957, + "step": 281 + }, + { + "epoch": 0.12, + "learning_rate": 9.806920842632795e-06, + "loss": 1.0713, + "step": 282 + }, + { + "epoch": 0.12, + "learning_rate": 9.8050809028577e-06, + "loss": 1.0474, + "step": 283 + }, + { + "epoch": 0.12, + "learning_rate": 9.80323241205e-06, + "loss": 1.0684, + "step": 284 + }, + { + "epoch": 0.12, + "learning_rate": 9.801375373499236e-06, + "loss": 1.0981, + "step": 285 + }, + { + "epoch": 0.12, + "learning_rate": 9.79950979051016e-06, + "loss": 1.1533, + "step": 286 + }, + { + "epoch": 0.12, + "learning_rate": 9.797635666402729e-06, + "loss": 1.1875, + "step": 287 + }, + { + "epoch": 0.12, + "learning_rate": 9.7957530045121e-06, + "loss": 0.9639, + "step": 288 + }, + { + "epoch": 0.12, + "learning_rate": 9.793861808188622e-06, + "loss": 1.1216, + "step": 289 + }, + { + "epoch": 0.12, + "learning_rate": 9.791962080797832e-06, + "loss": 1.002, + "step": 290 + }, + { + "epoch": 0.12, + "learning_rate": 9.79005382572045e-06, + "loss": 1.1426, + "step": 291 + }, + { + "epoch": 0.12, + "learning_rate": 9.788137046352374e-06, + "loss": 1.0283, + "step": 292 + }, + { + "epoch": 0.12, + "learning_rate": 9.786211746104665e-06, + "loss": 1.0791, + "step": 293 + }, + { + "epoch": 0.12, + "learning_rate": 9.784277928403554e-06, + "loss": 1.0908, + "step": 294 + }, + { + "epoch": 0.12, + "learning_rate": 9.782335596690425e-06, + "loss": 1.0195, + "step": 295 + }, + { + "epoch": 0.12, + "learning_rate": 9.780384754421817e-06, + "loss": 1.0537, + "step": 296 + }, + { + "epoch": 0.12, + "learning_rate": 9.778425405069413e-06, + "loss": 0.957, + "step": 297 + }, + { + "epoch": 0.12, + "learning_rate": 9.776457552120034e-06, + "loss": 0.979, + "step": 298 + }, + { + "epoch": 0.12, + "learning_rate": 9.774481199075634e-06, + "loss": 0.9951, + "step": 299 + }, + { + "epoch": 0.12, + "learning_rate": 9.772496349453292e-06, + "loss": 1.0, + "step": 300 + }, + { + "epoch": 0.12, + "learning_rate": 9.770503006785214e-06, + "loss": 1.1709, + "step": 301 + }, + { + "epoch": 0.12, + "learning_rate": 9.768501174618714e-06, + "loss": 1.0103, + "step": 302 + }, + { + "epoch": 0.12, + "learning_rate": 9.766490856516216e-06, + "loss": 1.0752, + "step": 303 + }, + { + "epoch": 0.13, + "learning_rate": 9.76447205605524e-06, + "loss": 1.1299, + "step": 304 + }, + { + "epoch": 0.13, + "learning_rate": 9.76244477682841e-06, + "loss": 1.1074, + "step": 305 + }, + { + "epoch": 0.13, + "learning_rate": 9.760409022443436e-06, + "loss": 1.1187, + "step": 306 + }, + { + "epoch": 0.13, + "learning_rate": 9.758364796523105e-06, + "loss": 1.2227, + "step": 307 + }, + { + "epoch": 0.13, + "learning_rate": 9.756312102705284e-06, + "loss": 1.0952, + "step": 308 + }, + { + "epoch": 0.13, + "learning_rate": 9.754250944642909e-06, + "loss": 0.9912, + "step": 309 + }, + { + "epoch": 0.13, + "learning_rate": 9.75218132600398e-06, + "loss": 1.0645, + "step": 310 + }, + { + "epoch": 0.13, + "learning_rate": 9.75010325047155e-06, + "loss": 1.1128, + "step": 311 + }, + { + "epoch": 0.13, + "learning_rate": 9.748016721743724e-06, + "loss": 1.002, + "step": 312 + }, + { + "epoch": 0.13, + "learning_rate": 9.745921743533653e-06, + "loss": 1.0625, + "step": 313 + }, + { + "epoch": 0.13, + "learning_rate": 9.743818319569516e-06, + "loss": 1.0781, + "step": 314 + }, + { + "epoch": 0.13, + "learning_rate": 9.74170645359453e-06, + "loss": 1.0586, + "step": 315 + }, + { + "epoch": 0.13, + "learning_rate": 9.739586149366932e-06, + "loss": 1.1577, + "step": 316 + }, + { + "epoch": 0.13, + "learning_rate": 9.737457410659976e-06, + "loss": 1.064, + "step": 317 + }, + { + "epoch": 0.13, + "learning_rate": 9.735320241261925e-06, + "loss": 1.0938, + "step": 318 + }, + { + "epoch": 0.13, + "learning_rate": 9.733174644976047e-06, + "loss": 1.0791, + "step": 319 + }, + { + "epoch": 0.13, + "learning_rate": 9.731020625620605e-06, + "loss": 0.9517, + "step": 320 + }, + { + "epoch": 0.13, + "learning_rate": 9.728858187028852e-06, + "loss": 1.0879, + "step": 321 + }, + { + "epoch": 0.13, + "learning_rate": 9.726687333049024e-06, + "loss": 0.9927, + "step": 322 + }, + { + "epoch": 0.13, + "learning_rate": 9.724508067544328e-06, + "loss": 0.9912, + "step": 323 + }, + { + "epoch": 0.13, + "learning_rate": 9.72232039439295e-06, + "loss": 1.1279, + "step": 324 + }, + { + "epoch": 0.13, + "learning_rate": 9.720124317488031e-06, + "loss": 0.9292, + "step": 325 + }, + { + "epoch": 0.13, + "learning_rate": 9.717919840737667e-06, + "loss": 1.188, + "step": 326 + }, + { + "epoch": 0.13, + "learning_rate": 9.715706968064905e-06, + "loss": 1.0654, + "step": 327 + }, + { + "epoch": 0.14, + "learning_rate": 9.713485703407732e-06, + "loss": 1.0205, + "step": 328 + }, + { + "epoch": 0.14, + "learning_rate": 9.711256050719068e-06, + "loss": 1.0918, + "step": 329 + }, + { + "epoch": 0.14, + "learning_rate": 9.709018013966764e-06, + "loss": 1.062, + "step": 330 + }, + { + "epoch": 0.14, + "learning_rate": 9.706771597133587e-06, + "loss": 0.9946, + "step": 331 + }, + { + "epoch": 0.14, + "learning_rate": 9.70451680421722e-06, + "loss": 1.0991, + "step": 332 + }, + { + "epoch": 0.14, + "learning_rate": 9.702253639230246e-06, + "loss": 1.1221, + "step": 333 + }, + { + "epoch": 0.14, + "learning_rate": 9.699982106200155e-06, + "loss": 1.2358, + "step": 334 + }, + { + "epoch": 0.14, + "learning_rate": 9.697702209169325e-06, + "loss": 1.0996, + "step": 335 + }, + { + "epoch": 0.14, + "learning_rate": 9.69541395219502e-06, + "loss": 1.0322, + "step": 336 + }, + { + "epoch": 0.14, + "learning_rate": 9.693117339349376e-06, + "loss": 0.9771, + "step": 337 + }, + { + "epoch": 0.14, + "learning_rate": 9.690812374719404e-06, + "loss": 1.0933, + "step": 338 + }, + { + "epoch": 0.14, + "learning_rate": 9.688499062406975e-06, + "loss": 1.0884, + "step": 339 + }, + { + "epoch": 0.14, + "learning_rate": 9.686177406528819e-06, + "loss": 1.0796, + "step": 340 + }, + { + "epoch": 0.14, + "learning_rate": 9.683847411216509e-06, + "loss": 0.876, + "step": 341 + }, + { + "epoch": 0.14, + "learning_rate": 9.681509080616464e-06, + "loss": 1.0132, + "step": 342 + }, + { + "epoch": 0.14, + "learning_rate": 9.679162418889932e-06, + "loss": 1.0723, + "step": 343 + }, + { + "epoch": 0.14, + "learning_rate": 9.676807430212988e-06, + "loss": 1.0649, + "step": 344 + }, + { + "epoch": 0.14, + "learning_rate": 9.674444118776527e-06, + "loss": 1.1367, + "step": 345 + }, + { + "epoch": 0.14, + "learning_rate": 9.672072488786254e-06, + "loss": 0.9346, + "step": 346 + }, + { + "epoch": 0.14, + "learning_rate": 9.669692544462678e-06, + "loss": 1.1431, + "step": 347 + }, + { + "epoch": 0.14, + "learning_rate": 9.667304290041102e-06, + "loss": 1.1011, + "step": 348 + }, + { + "epoch": 0.14, + "learning_rate": 9.664907729771622e-06, + "loss": 1.0059, + "step": 349 + }, + { + "epoch": 0.14, + "learning_rate": 9.662502867919111e-06, + "loss": 0.9712, + "step": 350 + }, + { + "epoch": 0.14, + "learning_rate": 9.660089708763214e-06, + "loss": 1.0571, + "step": 351 + }, + { + "epoch": 0.14, + "learning_rate": 9.657668256598347e-06, + "loss": 1.0884, + "step": 352 + }, + { + "epoch": 0.15, + "learning_rate": 9.655238515733678e-06, + "loss": 0.9844, + "step": 353 + }, + { + "epoch": 0.15, + "learning_rate": 9.652800490493132e-06, + "loss": 1.0942, + "step": 354 + }, + { + "epoch": 0.15, + "learning_rate": 9.650354185215374e-06, + "loss": 0.9663, + "step": 355 + }, + { + "epoch": 0.15, + "learning_rate": 9.647899604253801e-06, + "loss": 1.1211, + "step": 356 + }, + { + "epoch": 0.15, + "learning_rate": 9.645436751976541e-06, + "loss": 1.0576, + "step": 357 + }, + { + "epoch": 0.15, + "learning_rate": 9.642965632766437e-06, + "loss": 1.1108, + "step": 358 + }, + { + "epoch": 0.15, + "learning_rate": 9.64048625102105e-06, + "loss": 1.019, + "step": 359 + }, + { + "epoch": 0.15, + "learning_rate": 9.637998611152641e-06, + "loss": 1.0332, + "step": 360 + }, + { + "epoch": 0.15, + "learning_rate": 9.635502717588168e-06, + "loss": 1.186, + "step": 361 + }, + { + "epoch": 0.15, + "learning_rate": 9.632998574769277e-06, + "loss": 1.0483, + "step": 362 + }, + { + "epoch": 0.15, + "learning_rate": 9.630486187152291e-06, + "loss": 1.1743, + "step": 363 + }, + { + "epoch": 0.15, + "learning_rate": 9.627965559208212e-06, + "loss": 0.981, + "step": 364 + }, + { + "epoch": 0.15, + "learning_rate": 9.6254366954227e-06, + "loss": 1.0332, + "step": 365 + }, + { + "epoch": 0.15, + "learning_rate": 9.622899600296076e-06, + "loss": 1.0474, + "step": 366 + }, + { + "epoch": 0.15, + "learning_rate": 9.620354278343306e-06, + "loss": 1.0723, + "step": 367 + }, + { + "epoch": 0.15, + "learning_rate": 9.617800734093999e-06, + "loss": 1.0879, + "step": 368 + }, + { + "epoch": 0.15, + "learning_rate": 9.615238972092391e-06, + "loss": 1.0732, + "step": 369 + }, + { + "epoch": 0.15, + "learning_rate": 9.612668996897351e-06, + "loss": 1.0532, + "step": 370 + }, + { + "epoch": 0.15, + "learning_rate": 9.610090813082356e-06, + "loss": 0.9697, + "step": 371 + }, + { + "epoch": 0.15, + "learning_rate": 9.607504425235495e-06, + "loss": 1.0337, + "step": 372 + }, + { + "epoch": 0.15, + "learning_rate": 9.604909837959456e-06, + "loss": 1.0464, + "step": 373 + }, + { + "epoch": 0.15, + "learning_rate": 9.602307055871517e-06, + "loss": 1.0713, + "step": 374 + }, + { + "epoch": 0.15, + "learning_rate": 9.59969608360354e-06, + "loss": 1.0015, + "step": 375 + }, + { + "epoch": 0.15, + "learning_rate": 9.597076925801967e-06, + "loss": 0.9697, + "step": 376 + }, + { + "epoch": 0.16, + "learning_rate": 9.594449587127799e-06, + "loss": 1.0298, + "step": 377 + }, + { + "epoch": 0.16, + "learning_rate": 9.591814072256598e-06, + "loss": 0.9805, + "step": 378 + }, + { + "epoch": 0.16, + "learning_rate": 9.58917038587848e-06, + "loss": 0.9692, + "step": 379 + }, + { + "epoch": 0.16, + "learning_rate": 9.586518532698099e-06, + "loss": 1.062, + "step": 380 + }, + { + "epoch": 0.16, + "learning_rate": 9.583858517434643e-06, + "loss": 0.9497, + "step": 381 + }, + { + "epoch": 0.16, + "learning_rate": 9.581190344821827e-06, + "loss": 0.9961, + "step": 382 + }, + { + "epoch": 0.16, + "learning_rate": 9.57851401960788e-06, + "loss": 0.9917, + "step": 383 + }, + { + "epoch": 0.16, + "learning_rate": 9.575829546555541e-06, + "loss": 1.0244, + "step": 384 + }, + { + "epoch": 0.16, + "learning_rate": 9.57313693044205e-06, + "loss": 1.0806, + "step": 385 + }, + { + "epoch": 0.16, + "learning_rate": 9.570436176059133e-06, + "loss": 1.1147, + "step": 386 + }, + { + "epoch": 0.16, + "learning_rate": 9.567727288213005e-06, + "loss": 1.1094, + "step": 387 + }, + { + "epoch": 0.16, + "learning_rate": 9.565010271724353e-06, + "loss": 1.0659, + "step": 388 + }, + { + "epoch": 0.16, + "learning_rate": 9.562285131428326e-06, + "loss": 0.9971, + "step": 389 + }, + { + "epoch": 0.16, + "learning_rate": 9.559551872174535e-06, + "loss": 1.1084, + "step": 390 + }, + { + "epoch": 0.16, + "learning_rate": 9.556810498827039e-06, + "loss": 0.9102, + "step": 391 + }, + { + "epoch": 0.16, + "learning_rate": 9.554061016264329e-06, + "loss": 1.0322, + "step": 392 + }, + { + "epoch": 0.16, + "learning_rate": 9.55130342937934e-06, + "loss": 1.0522, + "step": 393 + }, + { + "epoch": 0.16, + "learning_rate": 9.54853774307942e-06, + "loss": 1.0034, + "step": 394 + }, + { + "epoch": 0.16, + "learning_rate": 9.545763962286332e-06, + "loss": 1.0903, + "step": 395 + }, + { + "epoch": 0.16, + "learning_rate": 9.542982091936244e-06, + "loss": 1.0835, + "step": 396 + }, + { + "epoch": 0.16, + "learning_rate": 9.540192136979722e-06, + "loss": 1.0693, + "step": 397 + }, + { + "epoch": 0.16, + "learning_rate": 9.537394102381719e-06, + "loss": 1.0762, + "step": 398 + }, + { + "epoch": 0.16, + "learning_rate": 9.534587993121563e-06, + "loss": 1.0234, + "step": 399 + }, + { + "epoch": 0.16, + "learning_rate": 9.531773814192953e-06, + "loss": 0.9917, + "step": 400 + }, + { + "epoch": 0.17, + "learning_rate": 9.528951570603954e-06, + "loss": 0.9658, + "step": 401 + }, + { + "epoch": 0.17, + "learning_rate": 9.526121267376976e-06, + "loss": 0.999, + "step": 402 + }, + { + "epoch": 0.17, + "learning_rate": 9.523282909548773e-06, + "loss": 1.0176, + "step": 403 + }, + { + "epoch": 0.17, + "learning_rate": 9.520436502170433e-06, + "loss": 1.0522, + "step": 404 + }, + { + "epoch": 0.17, + "learning_rate": 9.517582050307371e-06, + "loss": 1.0347, + "step": 405 + }, + { + "epoch": 0.17, + "learning_rate": 9.514719559039318e-06, + "loss": 0.9746, + "step": 406 + }, + { + "epoch": 0.17, + "learning_rate": 9.511849033460307e-06, + "loss": 1.0405, + "step": 407 + }, + { + "epoch": 0.17, + "learning_rate": 9.508970478678676e-06, + "loss": 1.0049, + "step": 408 + }, + { + "epoch": 0.17, + "learning_rate": 9.506083899817043e-06, + "loss": 0.9824, + "step": 409 + }, + { + "epoch": 0.17, + "learning_rate": 9.503189302012312e-06, + "loss": 0.9429, + "step": 410 + }, + { + "epoch": 0.17, + "learning_rate": 9.500286690415657e-06, + "loss": 0.9409, + "step": 411 + }, + { + "epoch": 0.17, + "learning_rate": 9.49737607019251e-06, + "loss": 1.0864, + "step": 412 + }, + { + "epoch": 0.17, + "learning_rate": 9.494457446522555e-06, + "loss": 0.9834, + "step": 413 + }, + { + "epoch": 0.17, + "learning_rate": 9.491530824599724e-06, + "loss": 1.0547, + "step": 414 + }, + { + "epoch": 0.17, + "learning_rate": 9.488596209632179e-06, + "loss": 1.1895, + "step": 415 + }, + { + "epoch": 0.17, + "learning_rate": 9.485653606842302e-06, + "loss": 1.1084, + "step": 416 + }, + { + "epoch": 0.17, + "learning_rate": 9.482703021466698e-06, + "loss": 0.8652, + "step": 417 + }, + { + "epoch": 0.17, + "learning_rate": 9.47974445875617e-06, + "loss": 1.0117, + "step": 418 + }, + { + "epoch": 0.17, + "learning_rate": 9.476777923975725e-06, + "loss": 0.9292, + "step": 419 + }, + { + "epoch": 0.17, + "learning_rate": 9.473803422404552e-06, + "loss": 1.1221, + "step": 420 + }, + { + "epoch": 0.17, + "learning_rate": 9.470820959336018e-06, + "loss": 1.1587, + "step": 421 + }, + { + "epoch": 0.17, + "learning_rate": 9.46783054007766e-06, + "loss": 1.0977, + "step": 422 + }, + { + "epoch": 0.17, + "learning_rate": 9.464832169951171e-06, + "loss": 1.0508, + "step": 423 + }, + { + "epoch": 0.17, + "learning_rate": 9.461825854292394e-06, + "loss": 0.9536, + "step": 424 + }, + { + "epoch": 0.18, + "learning_rate": 9.458811598451317e-06, + "loss": 1.0884, + "step": 425 + }, + { + "epoch": 0.18, + "learning_rate": 9.455789407792047e-06, + "loss": 1.0513, + "step": 426 + }, + { + "epoch": 0.18, + "learning_rate": 9.452759287692824e-06, + "loss": 0.9458, + "step": 427 + }, + { + "epoch": 0.18, + "learning_rate": 9.44972124354599e-06, + "loss": 1.0825, + "step": 428 + }, + { + "epoch": 0.18, + "learning_rate": 9.446675280757993e-06, + "loss": 1.083, + "step": 429 + }, + { + "epoch": 0.18, + "learning_rate": 9.443621404749374e-06, + "loss": 0.874, + "step": 430 + }, + { + "epoch": 0.18, + "learning_rate": 9.44055962095475e-06, + "loss": 1.0464, + "step": 431 + }, + { + "epoch": 0.18, + "learning_rate": 9.437489934822817e-06, + "loss": 1.0215, + "step": 432 + }, + { + "epoch": 0.18, + "learning_rate": 9.434412351816329e-06, + "loss": 0.9717, + "step": 433 + }, + { + "epoch": 0.18, + "learning_rate": 9.431326877412097e-06, + "loss": 1.0776, + "step": 434 + }, + { + "epoch": 0.18, + "learning_rate": 9.428233517100976e-06, + "loss": 1.0771, + "step": 435 + }, + { + "epoch": 0.18, + "learning_rate": 9.425132276387847e-06, + "loss": 0.9482, + "step": 436 + }, + { + "epoch": 0.18, + "learning_rate": 9.422023160791626e-06, + "loss": 0.9419, + "step": 437 + }, + { + "epoch": 0.18, + "learning_rate": 9.418906175845234e-06, + "loss": 1.0107, + "step": 438 + }, + { + "epoch": 0.18, + "learning_rate": 9.415781327095601e-06, + "loss": 1.0962, + "step": 439 + }, + { + "epoch": 0.18, + "learning_rate": 9.412648620103649e-06, + "loss": 1.0591, + "step": 440 + }, + { + "epoch": 0.18, + "learning_rate": 9.409508060444283e-06, + "loss": 0.96, + "step": 441 + }, + { + "epoch": 0.18, + "learning_rate": 9.40635965370639e-06, + "loss": 1.0308, + "step": 442 + }, + { + "epoch": 0.18, + "learning_rate": 9.403203405492812e-06, + "loss": 1.0493, + "step": 443 + }, + { + "epoch": 0.18, + "learning_rate": 9.400039321420348e-06, + "loss": 0.918, + "step": 444 + }, + { + "epoch": 0.18, + "learning_rate": 9.396867407119748e-06, + "loss": 0.9395, + "step": 445 + }, + { + "epoch": 0.18, + "learning_rate": 9.393687668235689e-06, + "loss": 1.042, + "step": 446 + }, + { + "epoch": 0.18, + "learning_rate": 9.390500110426773e-06, + "loss": 1.1074, + "step": 447 + }, + { + "epoch": 0.18, + "learning_rate": 9.387304739365524e-06, + "loss": 1.042, + "step": 448 + }, + { + "epoch": 0.18, + "learning_rate": 9.38410156073836e-06, + "loss": 1.001, + "step": 449 + }, + { + "epoch": 0.19, + "learning_rate": 9.3808905802456e-06, + "loss": 0.9482, + "step": 450 + }, + { + "epoch": 0.19, + "learning_rate": 9.377671803601447e-06, + "loss": 1.0527, + "step": 451 + }, + { + "epoch": 0.19, + "learning_rate": 9.374445236533974e-06, + "loss": 1.0449, + "step": 452 + }, + { + "epoch": 0.19, + "learning_rate": 9.371210884785118e-06, + "loss": 0.9517, + "step": 453 + }, + { + "epoch": 0.19, + "learning_rate": 9.367968754110675e-06, + "loss": 1.0479, + "step": 454 + }, + { + "epoch": 0.19, + "learning_rate": 9.364718850280278e-06, + "loss": 1.0957, + "step": 455 + }, + { + "epoch": 0.19, + "learning_rate": 9.361461179077395e-06, + "loss": 1.1719, + "step": 456 + }, + { + "epoch": 0.19, + "learning_rate": 9.35819574629932e-06, + "loss": 1.1372, + "step": 457 + }, + { + "epoch": 0.19, + "learning_rate": 9.354922557757153e-06, + "loss": 1.0547, + "step": 458 + }, + { + "epoch": 0.19, + "learning_rate": 9.351641619275802e-06, + "loss": 1.0322, + "step": 459 + }, + { + "epoch": 0.19, + "learning_rate": 9.348352936693964e-06, + "loss": 1.0742, + "step": 460 + }, + { + "epoch": 0.19, + "learning_rate": 9.345056515864115e-06, + "loss": 0.9922, + "step": 461 + }, + { + "epoch": 0.19, + "learning_rate": 9.341752362652506e-06, + "loss": 0.9751, + "step": 462 + }, + { + "epoch": 0.19, + "learning_rate": 9.338440482939146e-06, + "loss": 1.0171, + "step": 463 + }, + { + "epoch": 0.19, + "learning_rate": 9.335120882617797e-06, + "loss": 0.9585, + "step": 464 + }, + { + "epoch": 0.19, + "learning_rate": 9.331793567595953e-06, + "loss": 1.0513, + "step": 465 + }, + { + "epoch": 0.19, + "learning_rate": 9.328458543794844e-06, + "loss": 0.9741, + "step": 466 + }, + { + "epoch": 0.19, + "learning_rate": 9.325115817149419e-06, + "loss": 1.0928, + "step": 467 + }, + { + "epoch": 0.19, + "learning_rate": 9.32176539360833e-06, + "loss": 1.0112, + "step": 468 + }, + { + "epoch": 0.19, + "learning_rate": 9.31840727913393e-06, + "loss": 1.0078, + "step": 469 + }, + { + "epoch": 0.19, + "learning_rate": 9.315041479702253e-06, + "loss": 0.9209, + "step": 470 + }, + { + "epoch": 0.19, + "learning_rate": 9.311668001303018e-06, + "loss": 0.9551, + "step": 471 + }, + { + "epoch": 0.19, + "learning_rate": 9.3082868499396e-06, + "loss": 1.1714, + "step": 472 + }, + { + "epoch": 0.19, + "learning_rate": 9.304898031629038e-06, + "loss": 0.9766, + "step": 473 + }, + { + "epoch": 0.2, + "learning_rate": 9.301501552402006e-06, + "loss": 1.0278, + "step": 474 + }, + { + "epoch": 0.2, + "learning_rate": 9.298097418302817e-06, + "loss": 0.9805, + "step": 475 + }, + { + "epoch": 0.2, + "learning_rate": 9.294685635389402e-06, + "loss": 0.9824, + "step": 476 + }, + { + "epoch": 0.2, + "learning_rate": 9.29126620973331e-06, + "loss": 0.9556, + "step": 477 + }, + { + "epoch": 0.2, + "learning_rate": 9.287839147419685e-06, + "loss": 1.0361, + "step": 478 + }, + { + "epoch": 0.2, + "learning_rate": 9.284404454547268e-06, + "loss": 1.0239, + "step": 479 + }, + { + "epoch": 0.2, + "learning_rate": 9.28096213722837e-06, + "loss": 1.0059, + "step": 480 + }, + { + "epoch": 0.2, + "learning_rate": 9.277512201588871e-06, + "loss": 1.0342, + "step": 481 + }, + { + "epoch": 0.2, + "learning_rate": 9.274054653768222e-06, + "loss": 0.9531, + "step": 482 + }, + { + "epoch": 0.2, + "learning_rate": 9.270589499919405e-06, + "loss": 1.0771, + "step": 483 + }, + { + "epoch": 0.2, + "learning_rate": 9.267116746208944e-06, + "loss": 1.0063, + "step": 484 + }, + { + "epoch": 0.2, + "learning_rate": 9.263636398816883e-06, + "loss": 0.9932, + "step": 485 + }, + { + "epoch": 0.2, + "learning_rate": 9.260148463936794e-06, + "loss": 0.9595, + "step": 486 + }, + { + "epoch": 0.2, + "learning_rate": 9.25665294777573e-06, + "loss": 1.0137, + "step": 487 + }, + { + "epoch": 0.2, + "learning_rate": 9.253149856554255e-06, + "loss": 0.9976, + "step": 488 + }, + { + "epoch": 0.2, + "learning_rate": 9.2496391965064e-06, + "loss": 1.1753, + "step": 489 + }, + { + "epoch": 0.2, + "learning_rate": 9.24612097387967e-06, + "loss": 0.96, + "step": 490 + }, + { + "epoch": 0.2, + "learning_rate": 9.24259519493503e-06, + "loss": 1.0283, + "step": 491 + }, + { + "epoch": 0.2, + "learning_rate": 9.239061865946892e-06, + "loss": 0.9746, + "step": 492 + }, + { + "epoch": 0.2, + "learning_rate": 9.2355209932031e-06, + "loss": 1.0908, + "step": 493 + }, + { + "epoch": 0.2, + "learning_rate": 9.231972583004926e-06, + "loss": 1.1357, + "step": 494 + }, + { + "epoch": 0.2, + "learning_rate": 9.228416641667058e-06, + "loss": 0.9297, + "step": 495 + }, + { + "epoch": 0.2, + "learning_rate": 9.224853175517578e-06, + "loss": 1.0259, + "step": 496 + }, + { + "epoch": 0.2, + "learning_rate": 9.221282190897969e-06, + "loss": 1.1641, + "step": 497 + }, + { + "epoch": 0.21, + "learning_rate": 9.217703694163083e-06, + "loss": 1.0142, + "step": 498 + }, + { + "epoch": 0.21, + "learning_rate": 9.214117691681152e-06, + "loss": 0.9541, + "step": 499 + }, + { + "epoch": 0.21, + "learning_rate": 9.210524189833756e-06, + "loss": 1.041, + "step": 500 + }, + { + "epoch": 0.21, + "learning_rate": 9.206923195015824e-06, + "loss": 1.186, + "step": 501 + }, + { + "epoch": 0.21, + "learning_rate": 9.203314713635621e-06, + "loss": 1.0093, + "step": 502 + }, + { + "epoch": 0.21, + "learning_rate": 9.199698752114732e-06, + "loss": 1.1753, + "step": 503 + }, + { + "epoch": 0.21, + "learning_rate": 9.196075316888056e-06, + "loss": 0.9785, + "step": 504 + }, + { + "epoch": 0.21, + "learning_rate": 9.192444414403792e-06, + "loss": 0.9248, + "step": 505 + }, + { + "epoch": 0.21, + "learning_rate": 9.188806051123423e-06, + "loss": 1.0884, + "step": 506 + }, + { + "epoch": 0.21, + "learning_rate": 9.185160233521715e-06, + "loss": 0.9941, + "step": 507 + }, + { + "epoch": 0.21, + "learning_rate": 9.181506968086696e-06, + "loss": 1.0479, + "step": 508 + }, + { + "epoch": 0.21, + "learning_rate": 9.177846261319652e-06, + "loss": 1.1118, + "step": 509 + }, + { + "epoch": 0.21, + "learning_rate": 9.174178119735104e-06, + "loss": 1.0522, + "step": 510 + }, + { + "epoch": 0.21, + "learning_rate": 9.170502549860813e-06, + "loss": 0.9824, + "step": 511 + }, + { + "epoch": 0.21, + "learning_rate": 9.166819558237752e-06, + "loss": 0.9873, + "step": 512 + }, + { + "epoch": 0.21, + "learning_rate": 9.163129151420107e-06, + "loss": 1.0283, + "step": 513 + }, + { + "epoch": 0.21, + "learning_rate": 9.159431335975255e-06, + "loss": 1.0835, + "step": 514 + }, + { + "epoch": 0.21, + "learning_rate": 9.155726118483759e-06, + "loss": 0.9175, + "step": 515 + }, + { + "epoch": 0.21, + "learning_rate": 9.152013505539357e-06, + "loss": 1.0376, + "step": 516 + }, + { + "epoch": 0.21, + "learning_rate": 9.148293503748947e-06, + "loss": 0.9312, + "step": 517 + }, + { + "epoch": 0.21, + "learning_rate": 9.14456611973257e-06, + "loss": 0.9956, + "step": 518 + }, + { + "epoch": 0.21, + "learning_rate": 9.140831360123415e-06, + "loss": 1.0205, + "step": 519 + }, + { + "epoch": 0.21, + "learning_rate": 9.137089231567789e-06, + "loss": 0.9966, + "step": 520 + }, + { + "epoch": 0.21, + "learning_rate": 9.133339740725113e-06, + "loss": 0.978, + "step": 521 + }, + { + "epoch": 0.21, + "learning_rate": 9.129582894267911e-06, + "loss": 1.085, + "step": 522 + }, + { + "epoch": 0.22, + "learning_rate": 9.125818698881798e-06, + "loss": 1.0635, + "step": 523 + }, + { + "epoch": 0.22, + "learning_rate": 9.122047161265468e-06, + "loss": 1.0293, + "step": 524 + }, + { + "epoch": 0.22, + "learning_rate": 9.118268288130676e-06, + "loss": 1.0439, + "step": 525 + }, + { + "epoch": 0.22, + "learning_rate": 9.114482086202236e-06, + "loss": 0.9502, + "step": 526 + }, + { + "epoch": 0.22, + "learning_rate": 9.110688562218001e-06, + "loss": 0.8887, + "step": 527 + }, + { + "epoch": 0.22, + "learning_rate": 9.106887722928858e-06, + "loss": 1.0894, + "step": 528 + }, + { + "epoch": 0.22, + "learning_rate": 9.103079575098708e-06, + "loss": 0.9976, + "step": 529 + }, + { + "epoch": 0.22, + "learning_rate": 9.099264125504463e-06, + "loss": 1.0474, + "step": 530 + }, + { + "epoch": 0.22, + "learning_rate": 9.09544138093602e-06, + "loss": 0.9082, + "step": 531 + }, + { + "epoch": 0.22, + "learning_rate": 9.091611348196272e-06, + "loss": 1.0503, + "step": 532 + }, + { + "epoch": 0.22, + "learning_rate": 9.087774034101069e-06, + "loss": 1.0513, + "step": 533 + }, + { + "epoch": 0.22, + "learning_rate": 9.083929445479224e-06, + "loss": 0.9629, + "step": 534 + }, + { + "epoch": 0.22, + "learning_rate": 9.080077589172496e-06, + "loss": 1.0161, + "step": 535 + }, + { + "epoch": 0.22, + "learning_rate": 9.076218472035578e-06, + "loss": 0.9775, + "step": 536 + }, + { + "epoch": 0.22, + "learning_rate": 9.072352100936083e-06, + "loss": 1.1035, + "step": 537 + }, + { + "epoch": 0.22, + "learning_rate": 9.068478482754532e-06, + "loss": 0.9639, + "step": 538 + }, + { + "epoch": 0.22, + "learning_rate": 9.064597624384343e-06, + "loss": 1.0332, + "step": 539 + }, + { + "epoch": 0.22, + "learning_rate": 9.060709532731822e-06, + "loss": 1.0654, + "step": 540 + }, + { + "epoch": 0.22, + "learning_rate": 9.056814214716143e-06, + "loss": 1.0659, + "step": 541 + }, + { + "epoch": 0.22, + "learning_rate": 9.05291167726934e-06, + "loss": 1.0503, + "step": 542 + }, + { + "epoch": 0.22, + "learning_rate": 9.049001927336301e-06, + "loss": 0.9604, + "step": 543 + }, + { + "epoch": 0.22, + "learning_rate": 9.045084971874738e-06, + "loss": 0.9561, + "step": 544 + }, + { + "epoch": 0.22, + "learning_rate": 9.041160817855196e-06, + "loss": 0.9111, + "step": 545 + }, + { + "epoch": 0.22, + "learning_rate": 9.037229472261026e-06, + "loss": 0.9839, + "step": 546 + }, + { + "epoch": 0.23, + "learning_rate": 9.033290942088377e-06, + "loss": 1.0195, + "step": 547 + }, + { + "epoch": 0.23, + "learning_rate": 9.029345234346183e-06, + "loss": 1.0454, + "step": 548 + }, + { + "epoch": 0.23, + "learning_rate": 9.025392356056154e-06, + "loss": 1.1416, + "step": 549 + }, + { + "epoch": 0.23, + "learning_rate": 9.021432314252758e-06, + "loss": 1.019, + "step": 550 + }, + { + "epoch": 0.23, + "learning_rate": 9.017465115983212e-06, + "loss": 1.019, + "step": 551 + }, + { + "epoch": 0.23, + "learning_rate": 9.013490768307468e-06, + "loss": 0.96, + "step": 552 + }, + { + "epoch": 0.23, + "learning_rate": 9.009509278298201e-06, + "loss": 1.0771, + "step": 553 + }, + { + "epoch": 0.23, + "learning_rate": 9.005520653040796e-06, + "loss": 1.0586, + "step": 554 + }, + { + "epoch": 0.23, + "learning_rate": 9.001524899633337e-06, + "loss": 0.9927, + "step": 555 + }, + { + "epoch": 0.23, + "learning_rate": 8.997522025186592e-06, + "loss": 0.9746, + "step": 556 + }, + { + "epoch": 0.23, + "learning_rate": 8.993512036824004e-06, + "loss": 1.0972, + "step": 557 + }, + { + "epoch": 0.23, + "learning_rate": 8.989494941681672e-06, + "loss": 0.9697, + "step": 558 + }, + { + "epoch": 0.23, + "learning_rate": 8.985470746908342e-06, + "loss": 0.9092, + "step": 559 + }, + { + "epoch": 0.23, + "learning_rate": 8.9814394596654e-06, + "loss": 0.9219, + "step": 560 + }, + { + "epoch": 0.23, + "learning_rate": 8.977401087126847e-06, + "loss": 0.9214, + "step": 561 + }, + { + "epoch": 0.23, + "learning_rate": 8.973355636479294e-06, + "loss": 1.0913, + "step": 562 + }, + { + "epoch": 0.23, + "learning_rate": 8.969303114921956e-06, + "loss": 1.0532, + "step": 563 + }, + { + "epoch": 0.23, + "learning_rate": 8.96524352966662e-06, + "loss": 0.9263, + "step": 564 + }, + { + "epoch": 0.23, + "learning_rate": 8.96117688793765e-06, + "loss": 1.0562, + "step": 565 + }, + { + "epoch": 0.23, + "learning_rate": 8.957103196971965e-06, + "loss": 0.9458, + "step": 566 + }, + { + "epoch": 0.23, + "learning_rate": 8.95302246401903e-06, + "loss": 0.9673, + "step": 567 + }, + { + "epoch": 0.23, + "learning_rate": 8.948934696340842e-06, + "loss": 0.9668, + "step": 568 + }, + { + "epoch": 0.23, + "learning_rate": 8.944839901211917e-06, + "loss": 0.9136, + "step": 569 + }, + { + "epoch": 0.23, + "learning_rate": 8.940738085919274e-06, + "loss": 1.0337, + "step": 570 + }, + { + "epoch": 0.24, + "learning_rate": 8.936629257762429e-06, + "loss": 0.9019, + "step": 571 + }, + { + "epoch": 0.24, + "learning_rate": 8.932513424053376e-06, + "loss": 0.9741, + "step": 572 + }, + { + "epoch": 0.24, + "learning_rate": 8.928390592116576e-06, + "loss": 1.0391, + "step": 573 + }, + { + "epoch": 0.24, + "learning_rate": 8.924260769288944e-06, + "loss": 0.9478, + "step": 574 + }, + { + "epoch": 0.24, + "learning_rate": 8.920123962919834e-06, + "loss": 1.0283, + "step": 575 + }, + { + "epoch": 0.24, + "learning_rate": 8.915980180371034e-06, + "loss": 0.9648, + "step": 576 + }, + { + "epoch": 0.24, + "learning_rate": 8.911829429016737e-06, + "loss": 0.9575, + "step": 577 + }, + { + "epoch": 0.24, + "learning_rate": 8.907671716243547e-06, + "loss": 1.0708, + "step": 578 + }, + { + "epoch": 0.24, + "learning_rate": 8.903507049450452e-06, + "loss": 1.0049, + "step": 579 + }, + { + "epoch": 0.24, + "learning_rate": 8.899335436048813e-06, + "loss": 1.0229, + "step": 580 + }, + { + "epoch": 0.24, + "learning_rate": 8.895156883462358e-06, + "loss": 0.9678, + "step": 581 + }, + { + "epoch": 0.24, + "learning_rate": 8.89097139912716e-06, + "loss": 0.9634, + "step": 582 + }, + { + "epoch": 0.24, + "learning_rate": 8.886778990491632e-06, + "loss": 0.957, + "step": 583 + }, + { + "epoch": 0.24, + "learning_rate": 8.882579665016502e-06, + "loss": 1.0576, + "step": 584 + }, + { + "epoch": 0.24, + "learning_rate": 8.878373430174812e-06, + "loss": 0.8521, + "step": 585 + }, + { + "epoch": 0.24, + "learning_rate": 8.874160293451903e-06, + "loss": 0.9912, + "step": 586 + }, + { + "epoch": 0.24, + "learning_rate": 8.869940262345393e-06, + "loss": 1.0454, + "step": 587 + }, + { + "epoch": 0.24, + "learning_rate": 8.86571334436517e-06, + "loss": 0.9155, + "step": 588 + }, + { + "epoch": 0.24, + "learning_rate": 8.86147954703338e-06, + "loss": 1.1035, + "step": 589 + }, + { + "epoch": 0.24, + "learning_rate": 8.857238877884409e-06, + "loss": 1.0034, + "step": 590 + }, + { + "epoch": 0.24, + "learning_rate": 8.852991344464873e-06, + "loss": 0.9946, + "step": 591 + }, + { + "epoch": 0.24, + "learning_rate": 8.848736954333603e-06, + "loss": 1.0308, + "step": 592 + }, + { + "epoch": 0.24, + "learning_rate": 8.844475715061634e-06, + "loss": 1.0518, + "step": 593 + }, + { + "epoch": 0.24, + "learning_rate": 8.840207634232185e-06, + "loss": 0.939, + "step": 594 + }, + { + "epoch": 0.25, + "learning_rate": 8.835932719440658e-06, + "loss": 0.9556, + "step": 595 + }, + { + "epoch": 0.25, + "learning_rate": 8.831650978294608e-06, + "loss": 1.0024, + "step": 596 + }, + { + "epoch": 0.25, + "learning_rate": 8.827362418413744e-06, + "loss": 0.9819, + "step": 597 + }, + { + "epoch": 0.25, + "learning_rate": 8.823067047429908e-06, + "loss": 0.8784, + "step": 598 + }, + { + "epoch": 0.25, + "learning_rate": 8.81876487298706e-06, + "loss": 0.9526, + "step": 599 + }, + { + "epoch": 0.25, + "learning_rate": 8.81445590274127e-06, + "loss": 0.9136, + "step": 600 + }, + { + "epoch": 0.25, + "learning_rate": 8.810140144360701e-06, + "loss": 1.0503, + "step": 601 + }, + { + "epoch": 0.25, + "learning_rate": 8.8058176055256e-06, + "loss": 0.9839, + "step": 602 + }, + { + "epoch": 0.25, + "learning_rate": 8.801488293928274e-06, + "loss": 1.0615, + "step": 603 + }, + { + "epoch": 0.25, + "learning_rate": 8.797152217273082e-06, + "loss": 0.9878, + "step": 604 + }, + { + "epoch": 0.25, + "learning_rate": 8.79280938327643e-06, + "loss": 1.0112, + "step": 605 + }, + { + "epoch": 0.25, + "learning_rate": 8.788459799666745e-06, + "loss": 0.9966, + "step": 606 + }, + { + "epoch": 0.25, + "learning_rate": 8.784103474184463e-06, + "loss": 0.9668, + "step": 607 + }, + { + "epoch": 0.25, + "learning_rate": 8.77974041458202e-06, + "loss": 0.9819, + "step": 608 + }, + { + "epoch": 0.25, + "learning_rate": 8.775370628623837e-06, + "loss": 0.9663, + "step": 609 + }, + { + "epoch": 0.25, + "learning_rate": 8.7709941240863e-06, + "loss": 1.0435, + "step": 610 + }, + { + "epoch": 0.25, + "learning_rate": 8.76661090875776e-06, + "loss": 0.9829, + "step": 611 + }, + { + "epoch": 0.25, + "learning_rate": 8.762220990438504e-06, + "loss": 0.9814, + "step": 612 + }, + { + "epoch": 0.25, + "learning_rate": 8.757824376940748e-06, + "loss": 0.9351, + "step": 613 + }, + { + "epoch": 0.25, + "learning_rate": 8.753421076088621e-06, + "loss": 1.0449, + "step": 614 + }, + { + "epoch": 0.25, + "learning_rate": 8.74901109571816e-06, + "loss": 1.0142, + "step": 615 + }, + { + "epoch": 0.25, + "learning_rate": 8.744594443677284e-06, + "loss": 0.9634, + "step": 616 + }, + { + "epoch": 0.25, + "learning_rate": 8.740171127825783e-06, + "loss": 1.0488, + "step": 617 + }, + { + "epoch": 0.25, + "learning_rate": 8.735741156035306e-06, + "loss": 0.8994, + "step": 618 + }, + { + "epoch": 0.25, + "learning_rate": 8.73130453618935e-06, + "loss": 0.9893, + "step": 619 + }, + { + "epoch": 0.26, + "learning_rate": 8.726861276183242e-06, + "loss": 0.9893, + "step": 620 + }, + { + "epoch": 0.26, + "learning_rate": 8.722411383924126e-06, + "loss": 1.0601, + "step": 621 + }, + { + "epoch": 0.26, + "learning_rate": 8.717954867330943e-06, + "loss": 0.9507, + "step": 622 + }, + { + "epoch": 0.26, + "learning_rate": 8.71349173433443e-06, + "loss": 0.9551, + "step": 623 + }, + { + "epoch": 0.26, + "learning_rate": 8.709021992877096e-06, + "loss": 1.0459, + "step": 624 + }, + { + "epoch": 0.26, + "learning_rate": 8.70454565091321e-06, + "loss": 1.0229, + "step": 625 + }, + { + "epoch": 0.26, + "learning_rate": 8.700062716408784e-06, + "loss": 1.0664, + "step": 626 + }, + { + "epoch": 0.26, + "learning_rate": 8.695573197341566e-06, + "loss": 0.9766, + "step": 627 + }, + { + "epoch": 0.26, + "learning_rate": 8.691077101701024e-06, + "loss": 1.0376, + "step": 628 + }, + { + "epoch": 0.26, + "learning_rate": 8.686574437488322e-06, + "loss": 1.0068, + "step": 629 + }, + { + "epoch": 0.26, + "learning_rate": 8.68206521271632e-06, + "loss": 1.0381, + "step": 630 + }, + { + "epoch": 0.26, + "learning_rate": 8.677549435409548e-06, + "loss": 1.0005, + "step": 631 + }, + { + "epoch": 0.26, + "learning_rate": 8.673027113604202e-06, + "loss": 1.0078, + "step": 632 + }, + { + "epoch": 0.26, + "learning_rate": 8.668498255348119e-06, + "loss": 1.0581, + "step": 633 + }, + { + "epoch": 0.26, + "learning_rate": 8.663962868700773e-06, + "loss": 1.0742, + "step": 634 + }, + { + "epoch": 0.26, + "learning_rate": 8.659420961733255e-06, + "loss": 0.9878, + "step": 635 + }, + { + "epoch": 0.26, + "learning_rate": 8.654872542528256e-06, + "loss": 0.9722, + "step": 636 + }, + { + "epoch": 0.26, + "learning_rate": 8.650317619180057e-06, + "loss": 0.9814, + "step": 637 + }, + { + "epoch": 0.26, + "learning_rate": 8.645756199794519e-06, + "loss": 0.9463, + "step": 638 + }, + { + "epoch": 0.26, + "learning_rate": 8.641188292489054e-06, + "loss": 0.9917, + "step": 639 + }, + { + "epoch": 0.26, + "learning_rate": 8.636613905392628e-06, + "loss": 1.064, + "step": 640 + }, + { + "epoch": 0.26, + "learning_rate": 8.632033046645735e-06, + "loss": 1.167, + "step": 641 + }, + { + "epoch": 0.26, + "learning_rate": 8.627445724400387e-06, + "loss": 0.9395, + "step": 642 + }, + { + "epoch": 0.26, + "learning_rate": 8.622851946820094e-06, + "loss": 1.0498, + "step": 643 + }, + { + "epoch": 0.27, + "learning_rate": 8.618251722079861e-06, + "loss": 1.124, + "step": 644 + }, + { + "epoch": 0.27, + "learning_rate": 8.61364505836616e-06, + "loss": 1.0093, + "step": 645 + }, + { + "epoch": 0.27, + "learning_rate": 8.609031963876924e-06, + "loss": 1.04, + "step": 646 + }, + { + "epoch": 0.27, + "learning_rate": 8.604412446821531e-06, + "loss": 1.0107, + "step": 647 + }, + { + "epoch": 0.27, + "learning_rate": 8.599786515420789e-06, + "loss": 0.9482, + "step": 648 + }, + { + "epoch": 0.27, + "learning_rate": 8.595154177906915e-06, + "loss": 1.0635, + "step": 649 + }, + { + "epoch": 0.27, + "learning_rate": 8.590515442523537e-06, + "loss": 0.8652, + "step": 650 + }, + { + "epoch": 0.27, + "learning_rate": 8.585870317525655e-06, + "loss": 0.9521, + "step": 651 + }, + { + "epoch": 0.27, + "learning_rate": 8.581218811179655e-06, + "loss": 1.0122, + "step": 652 + }, + { + "epoch": 0.27, + "learning_rate": 8.576560931763263e-06, + "loss": 0.9878, + "step": 653 + }, + { + "epoch": 0.27, + "learning_rate": 8.57189668756556e-06, + "loss": 1.0239, + "step": 654 + }, + { + "epoch": 0.27, + "learning_rate": 8.567226086886948e-06, + "loss": 0.9258, + "step": 655 + }, + { + "epoch": 0.27, + "learning_rate": 8.56254913803914e-06, + "loss": 1.0576, + "step": 656 + }, + { + "epoch": 0.27, + "learning_rate": 8.557865849345146e-06, + "loss": 0.9814, + "step": 657 + }, + { + "epoch": 0.27, + "learning_rate": 8.553176229139262e-06, + "loss": 0.9375, + "step": 658 + }, + { + "epoch": 0.27, + "learning_rate": 8.548480285767044e-06, + "loss": 1.0762, + "step": 659 + }, + { + "epoch": 0.27, + "learning_rate": 8.543778027585313e-06, + "loss": 0.9351, + "step": 660 + }, + { + "epoch": 0.27, + "learning_rate": 8.539069462962115e-06, + "loss": 1.0894, + "step": 661 + }, + { + "epoch": 0.27, + "learning_rate": 8.534354600276724e-06, + "loss": 0.939, + "step": 662 + }, + { + "epoch": 0.27, + "learning_rate": 8.529633447919622e-06, + "loss": 0.9922, + "step": 663 + }, + { + "epoch": 0.27, + "learning_rate": 8.524906014292488e-06, + "loss": 1.0767, + "step": 664 + }, + { + "epoch": 0.27, + "learning_rate": 8.52017230780817e-06, + "loss": 0.9224, + "step": 665 + }, + { + "epoch": 0.27, + "learning_rate": 8.515432336890688e-06, + "loss": 0.9834, + "step": 666 + }, + { + "epoch": 0.27, + "learning_rate": 8.510686109975202e-06, + "loss": 1.1299, + "step": 667 + }, + { + "epoch": 0.28, + "learning_rate": 8.505933635508012e-06, + "loss": 0.9253, + "step": 668 + }, + { + "epoch": 0.28, + "learning_rate": 8.501174921946533e-06, + "loss": 1.0151, + "step": 669 + }, + { + "epoch": 0.28, + "learning_rate": 8.496409977759281e-06, + "loss": 1.0264, + "step": 670 + }, + { + "epoch": 0.28, + "learning_rate": 8.491638811425865e-06, + "loss": 0.9287, + "step": 671 + }, + { + "epoch": 0.28, + "learning_rate": 8.486861431436962e-06, + "loss": 0.9775, + "step": 672 + }, + { + "epoch": 0.28, + "learning_rate": 8.48207784629431e-06, + "loss": 1.0356, + "step": 673 + }, + { + "epoch": 0.28, + "learning_rate": 8.477288064510685e-06, + "loss": 1.0659, + "step": 674 + }, + { + "epoch": 0.28, + "learning_rate": 8.472492094609898e-06, + "loss": 0.9971, + "step": 675 + }, + { + "epoch": 0.28, + "learning_rate": 8.467689945126764e-06, + "loss": 0.8994, + "step": 676 + }, + { + "epoch": 0.28, + "learning_rate": 8.462881624607101e-06, + "loss": 0.9556, + "step": 677 + }, + { + "epoch": 0.28, + "learning_rate": 8.458067141607706e-06, + "loss": 0.9893, + "step": 678 + }, + { + "epoch": 0.28, + "learning_rate": 8.453246504696345e-06, + "loss": 1.0103, + "step": 679 + }, + { + "epoch": 0.28, + "learning_rate": 8.44841972245173e-06, + "loss": 1.021, + "step": 680 + }, + { + "epoch": 0.28, + "learning_rate": 8.443586803463517e-06, + "loss": 1.0864, + "step": 681 + }, + { + "epoch": 0.28, + "learning_rate": 8.438747756332278e-06, + "loss": 0.9282, + "step": 682 + }, + { + "epoch": 0.28, + "learning_rate": 8.433902589669489e-06, + "loss": 1.0098, + "step": 683 + }, + { + "epoch": 0.28, + "learning_rate": 8.42905131209752e-06, + "loss": 1.1221, + "step": 684 + }, + { + "epoch": 0.28, + "learning_rate": 8.424193932249614e-06, + "loss": 1.0112, + "step": 685 + }, + { + "epoch": 0.28, + "learning_rate": 8.419330458769874e-06, + "loss": 0.9922, + "step": 686 + }, + { + "epoch": 0.28, + "learning_rate": 8.414460900313249e-06, + "loss": 0.9839, + "step": 687 + }, + { + "epoch": 0.28, + "learning_rate": 8.409585265545509e-06, + "loss": 0.9648, + "step": 688 + }, + { + "epoch": 0.28, + "learning_rate": 8.404703563143249e-06, + "loss": 0.9692, + "step": 689 + }, + { + "epoch": 0.28, + "learning_rate": 8.399815801793852e-06, + "loss": 1.0215, + "step": 690 + }, + { + "epoch": 0.28, + "learning_rate": 8.39492199019549e-06, + "loss": 0.9834, + "step": 691 + }, + { + "epoch": 0.29, + "learning_rate": 8.390022137057096e-06, + "loss": 0.9482, + "step": 692 + }, + { + "epoch": 0.29, + "learning_rate": 8.385116251098361e-06, + "loss": 0.9614, + "step": 693 + }, + { + "epoch": 0.29, + "learning_rate": 8.380204341049706e-06, + "loss": 1.0288, + "step": 694 + }, + { + "epoch": 0.29, + "learning_rate": 8.375286415652275e-06, + "loss": 0.8896, + "step": 695 + }, + { + "epoch": 0.29, + "learning_rate": 8.370362483657917e-06, + "loss": 0.9951, + "step": 696 + }, + { + "epoch": 0.29, + "learning_rate": 8.36543255382917e-06, + "loss": 0.9971, + "step": 697 + }, + { + "epoch": 0.29, + "learning_rate": 8.360496634939243e-06, + "loss": 0.9639, + "step": 698 + }, + { + "epoch": 0.29, + "learning_rate": 8.35555473577201e-06, + "loss": 1.0156, + "step": 699 + }, + { + "epoch": 0.29, + "learning_rate": 8.35060686512198e-06, + "loss": 1.0806, + "step": 700 + }, + { + "epoch": 0.29, + "learning_rate": 8.345653031794292e-06, + "loss": 0.9419, + "step": 701 + }, + { + "epoch": 0.29, + "learning_rate": 8.340693244604696e-06, + "loss": 1.0557, + "step": 702 + }, + { + "epoch": 0.29, + "learning_rate": 8.335727512379535e-06, + "loss": 1.0229, + "step": 703 + }, + { + "epoch": 0.29, + "learning_rate": 8.330755843955736e-06, + "loss": 1.0156, + "step": 704 + }, + { + "epoch": 0.29, + "learning_rate": 8.32577824818079e-06, + "loss": 0.9541, + "step": 705 + }, + { + "epoch": 0.29, + "learning_rate": 8.320794733912727e-06, + "loss": 1.061, + "step": 706 + }, + { + "epoch": 0.29, + "learning_rate": 8.315805310020121e-06, + "loss": 1.062, + "step": 707 + }, + { + "epoch": 0.29, + "learning_rate": 8.310809985382059e-06, + "loss": 1.0117, + "step": 708 + }, + { + "epoch": 0.29, + "learning_rate": 8.305808768888123e-06, + "loss": 0.8916, + "step": 709 + }, + { + "epoch": 0.29, + "learning_rate": 8.300801669438391e-06, + "loss": 0.9551, + "step": 710 + }, + { + "epoch": 0.29, + "learning_rate": 8.2957886959434e-06, + "loss": 1.064, + "step": 711 + }, + { + "epoch": 0.29, + "learning_rate": 8.290769857324144e-06, + "loss": 0.998, + "step": 712 + }, + { + "epoch": 0.29, + "learning_rate": 8.285745162512057e-06, + "loss": 0.9751, + "step": 713 + }, + { + "epoch": 0.29, + "learning_rate": 8.280714620448991e-06, + "loss": 0.9111, + "step": 714 + }, + { + "epoch": 0.29, + "learning_rate": 8.275678240087206e-06, + "loss": 0.8643, + "step": 715 + }, + { + "epoch": 0.29, + "learning_rate": 8.270636030389352e-06, + "loss": 1.002, + "step": 716 + }, + { + "epoch": 0.3, + "learning_rate": 8.265588000328449e-06, + "loss": 0.9229, + "step": 717 + }, + { + "epoch": 0.3, + "learning_rate": 8.260534158887878e-06, + "loss": 0.9482, + "step": 718 + }, + { + "epoch": 0.3, + "learning_rate": 8.255474515061362e-06, + "loss": 0.9448, + "step": 719 + }, + { + "epoch": 0.3, + "learning_rate": 8.250409077852947e-06, + "loss": 0.9951, + "step": 720 + }, + { + "epoch": 0.3, + "learning_rate": 8.245337856276996e-06, + "loss": 0.98, + "step": 721 + }, + { + "epoch": 0.3, + "learning_rate": 8.240260859358156e-06, + "loss": 1.0054, + "step": 722 + }, + { + "epoch": 0.3, + "learning_rate": 8.235178096131355e-06, + "loss": 1.1089, + "step": 723 + }, + { + "epoch": 0.3, + "learning_rate": 8.23008957564179e-06, + "loss": 1.0508, + "step": 724 + }, + { + "epoch": 0.3, + "learning_rate": 8.224995306944892e-06, + "loss": 1.061, + "step": 725 + }, + { + "epoch": 0.3, + "learning_rate": 8.219895299106328e-06, + "loss": 1.0752, + "step": 726 + }, + { + "epoch": 0.3, + "learning_rate": 8.214789561201979e-06, + "loss": 1.0776, + "step": 727 + }, + { + "epoch": 0.3, + "learning_rate": 8.20967810231792e-06, + "loss": 1.0894, + "step": 728 + }, + { + "epoch": 0.3, + "learning_rate": 8.204560931550406e-06, + "loss": 1.0879, + "step": 729 + }, + { + "epoch": 0.3, + "learning_rate": 8.199438058005864e-06, + "loss": 1.0371, + "step": 730 + }, + { + "epoch": 0.3, + "learning_rate": 8.19430949080086e-06, + "loss": 0.939, + "step": 731 + }, + { + "epoch": 0.3, + "learning_rate": 8.189175239062098e-06, + "loss": 0.9204, + "step": 732 + }, + { + "epoch": 0.3, + "learning_rate": 8.184035311926397e-06, + "loss": 0.9033, + "step": 733 + }, + { + "epoch": 0.3, + "learning_rate": 8.178889718540677e-06, + "loss": 0.978, + "step": 734 + }, + { + "epoch": 0.3, + "learning_rate": 8.17373846806194e-06, + "loss": 1.0688, + "step": 735 + }, + { + "epoch": 0.3, + "learning_rate": 8.168581569657253e-06, + "loss": 0.9771, + "step": 736 + }, + { + "epoch": 0.3, + "learning_rate": 8.163419032503738e-06, + "loss": 1.1191, + "step": 737 + }, + { + "epoch": 0.3, + "learning_rate": 8.158250865788552e-06, + "loss": 1.1001, + "step": 738 + }, + { + "epoch": 0.3, + "learning_rate": 8.153077078708867e-06, + "loss": 1.0522, + "step": 739 + }, + { + "epoch": 0.3, + "learning_rate": 8.147897680471855e-06, + "loss": 0.9839, + "step": 740 + }, + { + "epoch": 0.31, + "learning_rate": 8.142712680294681e-06, + "loss": 0.9399, + "step": 741 + }, + { + "epoch": 0.31, + "learning_rate": 8.137522087404474e-06, + "loss": 0.9824, + "step": 742 + }, + { + "epoch": 0.31, + "learning_rate": 8.132325911038318e-06, + "loss": 1.1328, + "step": 743 + }, + { + "epoch": 0.31, + "learning_rate": 8.127124160443229e-06, + "loss": 0.9482, + "step": 744 + }, + { + "epoch": 0.31, + "learning_rate": 8.121916844876145e-06, + "loss": 1.0278, + "step": 745 + }, + { + "epoch": 0.31, + "learning_rate": 8.116703973603911e-06, + "loss": 1.0444, + "step": 746 + }, + { + "epoch": 0.31, + "learning_rate": 8.111485555903253e-06, + "loss": 0.9189, + "step": 747 + }, + { + "epoch": 0.31, + "learning_rate": 8.106261601060773e-06, + "loss": 0.958, + "step": 748 + }, + { + "epoch": 0.31, + "learning_rate": 8.10103211837292e-06, + "loss": 1.0522, + "step": 749 + }, + { + "epoch": 0.31, + "learning_rate": 8.09579711714599e-06, + "loss": 0.9902, + "step": 750 + }, + { + "epoch": 0.31, + "learning_rate": 8.090556606696088e-06, + "loss": 0.9644, + "step": 751 + }, + { + "epoch": 0.31, + "learning_rate": 8.08531059634913e-06, + "loss": 0.9165, + "step": 752 + }, + { + "epoch": 0.31, + "learning_rate": 8.080059095440822e-06, + "loss": 0.9263, + "step": 753 + }, + { + "epoch": 0.31, + "learning_rate": 8.074802113316633e-06, + "loss": 0.9609, + "step": 754 + }, + { + "epoch": 0.31, + "learning_rate": 8.069539659331793e-06, + "loss": 1.0239, + "step": 755 + }, + { + "epoch": 0.31, + "learning_rate": 8.064271742851267e-06, + "loss": 0.9316, + "step": 756 + }, + { + "epoch": 0.31, + "learning_rate": 8.05899837324974e-06, + "loss": 0.9253, + "step": 757 + }, + { + "epoch": 0.31, + "learning_rate": 8.053719559911605e-06, + "loss": 0.9854, + "step": 758 + }, + { + "epoch": 0.31, + "learning_rate": 8.048435312230939e-06, + "loss": 1.0, + "step": 759 + }, + { + "epoch": 0.31, + "learning_rate": 8.043145639611488e-06, + "loss": 0.918, + "step": 760 + }, + { + "epoch": 0.31, + "learning_rate": 8.037850551466658e-06, + "loss": 0.9751, + "step": 761 + }, + { + "epoch": 0.31, + "learning_rate": 8.032550057219488e-06, + "loss": 1.0581, + "step": 762 + }, + { + "epoch": 0.31, + "learning_rate": 8.027244166302641e-06, + "loss": 1.043, + "step": 763 + }, + { + "epoch": 0.31, + "learning_rate": 8.021932888158382e-06, + "loss": 0.9976, + "step": 764 + }, + { + "epoch": 0.32, + "learning_rate": 8.01661623223856e-06, + "loss": 0.9478, + "step": 765 + }, + { + "epoch": 0.32, + "learning_rate": 8.011294208004596e-06, + "loss": 1.0244, + "step": 766 + }, + { + "epoch": 0.32, + "learning_rate": 8.005966824927469e-06, + "loss": 0.9536, + "step": 767 + }, + { + "epoch": 0.32, + "learning_rate": 8.00063409248769e-06, + "loss": 0.9956, + "step": 768 + }, + { + "epoch": 0.32, + "learning_rate": 7.99529602017529e-06, + "loss": 1.0449, + "step": 769 + }, + { + "epoch": 0.32, + "learning_rate": 7.989952617489802e-06, + "loss": 0.978, + "step": 770 + }, + { + "epoch": 0.32, + "learning_rate": 7.984603893940247e-06, + "loss": 0.9258, + "step": 771 + }, + { + "epoch": 0.32, + "learning_rate": 7.979249859045117e-06, + "loss": 1.0151, + "step": 772 + }, + { + "epoch": 0.32, + "learning_rate": 7.973890522332348e-06, + "loss": 1.0327, + "step": 773 + }, + { + "epoch": 0.32, + "learning_rate": 7.968525893339319e-06, + "loss": 0.9941, + "step": 774 + }, + { + "epoch": 0.32, + "learning_rate": 7.96315598161282e-06, + "loss": 0.9766, + "step": 775 + }, + { + "epoch": 0.32, + "learning_rate": 7.957780796709052e-06, + "loss": 0.9932, + "step": 776 + }, + { + "epoch": 0.32, + "learning_rate": 7.95240034819359e-06, + "loss": 1.0166, + "step": 777 + }, + { + "epoch": 0.32, + "learning_rate": 7.94701464564138e-06, + "loss": 0.9619, + "step": 778 + }, + { + "epoch": 0.32, + "learning_rate": 7.94162369863672e-06, + "loss": 0.9448, + "step": 779 + }, + { + "epoch": 0.32, + "learning_rate": 7.936227516773238e-06, + "loss": 1.0366, + "step": 780 + }, + { + "epoch": 0.32, + "learning_rate": 7.930826109653882e-06, + "loss": 1.0967, + "step": 781 + }, + { + "epoch": 0.32, + "learning_rate": 7.925419486890888e-06, + "loss": 1.0166, + "step": 782 + }, + { + "epoch": 0.32, + "learning_rate": 7.92000765810579e-06, + "loss": 0.9829, + "step": 783 + }, + { + "epoch": 0.32, + "learning_rate": 7.914590632929372e-06, + "loss": 1.0811, + "step": 784 + }, + { + "epoch": 0.32, + "learning_rate": 7.909168421001675e-06, + "loss": 1.002, + "step": 785 + }, + { + "epoch": 0.32, + "learning_rate": 7.90374103197196e-06, + "loss": 0.9805, + "step": 786 + }, + { + "epoch": 0.32, + "learning_rate": 7.898308475498717e-06, + "loss": 1.0161, + "step": 787 + }, + { + "epoch": 0.32, + "learning_rate": 7.892870761249616e-06, + "loss": 0.8418, + "step": 788 + }, + { + "epoch": 0.32, + "learning_rate": 7.887427898901514e-06, + "loss": 0.9561, + "step": 789 + }, + { + "epoch": 0.33, + "learning_rate": 7.881979898140428e-06, + "loss": 0.9595, + "step": 790 + }, + { + "epoch": 0.33, + "learning_rate": 7.876526768661518e-06, + "loss": 1.0063, + "step": 791 + }, + { + "epoch": 0.33, + "learning_rate": 7.871068520169071e-06, + "loss": 0.8882, + "step": 792 + }, + { + "epoch": 0.33, + "learning_rate": 7.865605162376485e-06, + "loss": 0.96, + "step": 793 + }, + { + "epoch": 0.33, + "learning_rate": 7.860136705006254e-06, + "loss": 1.0225, + "step": 794 + }, + { + "epoch": 0.33, + "learning_rate": 7.854663157789937e-06, + "loss": 0.9971, + "step": 795 + }, + { + "epoch": 0.33, + "learning_rate": 7.84918453046816e-06, + "loss": 0.9209, + "step": 796 + }, + { + "epoch": 0.33, + "learning_rate": 7.843700832790585e-06, + "loss": 0.9829, + "step": 797 + }, + { + "epoch": 0.33, + "learning_rate": 7.838212074515899e-06, + "loss": 0.9727, + "step": 798 + }, + { + "epoch": 0.33, + "learning_rate": 7.832718265411795e-06, + "loss": 1.0581, + "step": 799 + }, + { + "epoch": 0.33, + "learning_rate": 7.827219415254952e-06, + "loss": 0.9609, + "step": 800 + }, + { + "epoch": 0.33, + "learning_rate": 7.821715533831022e-06, + "loss": 0.9165, + "step": 801 + }, + { + "epoch": 0.33, + "learning_rate": 7.816206630934611e-06, + "loss": 1.041, + "step": 802 + }, + { + "epoch": 0.33, + "learning_rate": 7.810692716369258e-06, + "loss": 1.0225, + "step": 803 + }, + { + "epoch": 0.33, + "learning_rate": 7.805173799947425e-06, + "loss": 1.0024, + "step": 804 + }, + { + "epoch": 0.33, + "learning_rate": 7.799649891490472e-06, + "loss": 0.9766, + "step": 805 + }, + { + "epoch": 0.33, + "learning_rate": 7.794121000828643e-06, + "loss": 0.9243, + "step": 806 + }, + { + "epoch": 0.33, + "learning_rate": 7.78858713780105e-06, + "loss": 0.8877, + "step": 807 + }, + { + "epoch": 0.33, + "learning_rate": 7.783048312255653e-06, + "loss": 0.9023, + "step": 808 + }, + { + "epoch": 0.33, + "learning_rate": 7.777504534049242e-06, + "loss": 0.9272, + "step": 809 + }, + { + "epoch": 0.33, + "learning_rate": 7.771955813047422e-06, + "loss": 1.0151, + "step": 810 + }, + { + "epoch": 0.33, + "learning_rate": 7.766402159124595e-06, + "loss": 0.9448, + "step": 811 + }, + { + "epoch": 0.33, + "learning_rate": 7.760843582163938e-06, + "loss": 1.0181, + "step": 812 + }, + { + "epoch": 0.33, + "learning_rate": 7.755280092057393e-06, + "loss": 1.0229, + "step": 813 + }, + { + "epoch": 0.34, + "learning_rate": 7.749711698705642e-06, + "loss": 1.0513, + "step": 814 + }, + { + "epoch": 0.34, + "learning_rate": 7.744138412018094e-06, + "loss": 0.9082, + "step": 815 + }, + { + "epoch": 0.34, + "learning_rate": 7.738560241912867e-06, + "loss": 1.0435, + "step": 816 + }, + { + "epoch": 0.34, + "learning_rate": 7.732977198316772e-06, + "loss": 0.9468, + "step": 817 + }, + { + "epoch": 0.34, + "learning_rate": 7.727389291165283e-06, + "loss": 0.9165, + "step": 818 + }, + { + "epoch": 0.34, + "learning_rate": 7.721796530402542e-06, + "loss": 0.9805, + "step": 819 + }, + { + "epoch": 0.34, + "learning_rate": 7.716198925981316e-06, + "loss": 0.9199, + "step": 820 + }, + { + "epoch": 0.34, + "learning_rate": 7.710596487863003e-06, + "loss": 0.8389, + "step": 821 + }, + { + "epoch": 0.34, + "learning_rate": 7.704989226017596e-06, + "loss": 0.9673, + "step": 822 + }, + { + "epoch": 0.34, + "learning_rate": 7.699377150423673e-06, + "loss": 0.9629, + "step": 823 + }, + { + "epoch": 0.34, + "learning_rate": 7.693760271068378e-06, + "loss": 0.9487, + "step": 824 + }, + { + "epoch": 0.34, + "learning_rate": 7.68813859794741e-06, + "loss": 0.9668, + "step": 825 + }, + { + "epoch": 0.34, + "learning_rate": 7.682512141064988e-06, + "loss": 0.9146, + "step": 826 + }, + { + "epoch": 0.34, + "learning_rate": 7.676880910433854e-06, + "loss": 0.8267, + "step": 827 + }, + { + "epoch": 0.34, + "learning_rate": 7.67124491607524e-06, + "loss": 0.9688, + "step": 828 + }, + { + "epoch": 0.34, + "learning_rate": 7.665604168018856e-06, + "loss": 0.8994, + "step": 829 + }, + { + "epoch": 0.34, + "learning_rate": 7.659958676302875e-06, + "loss": 0.917, + "step": 830 + }, + { + "epoch": 0.34, + "learning_rate": 7.654308450973906e-06, + "loss": 1.002, + "step": 831 + }, + { + "epoch": 0.34, + "learning_rate": 7.648653502086987e-06, + "loss": 0.8892, + "step": 832 + }, + { + "epoch": 0.34, + "learning_rate": 7.642993839705557e-06, + "loss": 0.9673, + "step": 833 + }, + { + "epoch": 0.34, + "learning_rate": 7.637329473901449e-06, + "loss": 1.041, + "step": 834 + }, + { + "epoch": 0.34, + "learning_rate": 7.631660414754862e-06, + "loss": 1.0166, + "step": 835 + }, + { + "epoch": 0.34, + "learning_rate": 7.625986672354349e-06, + "loss": 0.856, + "step": 836 + }, + { + "epoch": 0.34, + "learning_rate": 7.620308256796795e-06, + "loss": 0.9312, + "step": 837 + }, + { + "epoch": 0.35, + "learning_rate": 7.614625178187402e-06, + "loss": 0.8735, + "step": 838 + }, + { + "epoch": 0.35, + "learning_rate": 7.608937446639672e-06, + "loss": 1.0303, + "step": 839 + }, + { + "epoch": 0.35, + "learning_rate": 7.603245072275389e-06, + "loss": 0.9497, + "step": 840 + }, + { + "epoch": 0.35, + "learning_rate": 7.597548065224594e-06, + "loss": 0.8867, + "step": 841 + }, + { + "epoch": 0.35, + "learning_rate": 7.5918464356255735e-06, + "loss": 1.0796, + "step": 842 + }, + { + "epoch": 0.35, + "learning_rate": 7.586140193624842e-06, + "loss": 1.0205, + "step": 843 + }, + { + "epoch": 0.35, + "learning_rate": 7.580429349377123e-06, + "loss": 1.0049, + "step": 844 + }, + { + "epoch": 0.35, + "learning_rate": 7.57471391304533e-06, + "loss": 0.9053, + "step": 845 + }, + { + "epoch": 0.35, + "learning_rate": 7.568993894800545e-06, + "loss": 0.9961, + "step": 846 + }, + { + "epoch": 0.35, + "learning_rate": 7.563269304822005e-06, + "loss": 1.1113, + "step": 847 + }, + { + "epoch": 0.35, + "learning_rate": 7.557540153297086e-06, + "loss": 0.9253, + "step": 848 + }, + { + "epoch": 0.35, + "learning_rate": 7.551806450421278e-06, + "loss": 1.0703, + "step": 849 + }, + { + "epoch": 0.35, + "learning_rate": 7.546068206398175e-06, + "loss": 0.8521, + "step": 850 + }, + { + "epoch": 0.35, + "learning_rate": 7.540325431439446e-06, + "loss": 0.8442, + "step": 851 + }, + { + "epoch": 0.35, + "learning_rate": 7.534578135764827e-06, + "loss": 0.8726, + "step": 852 + }, + { + "epoch": 0.35, + "learning_rate": 7.528826329602099e-06, + "loss": 0.9897, + "step": 853 + }, + { + "epoch": 0.35, + "learning_rate": 7.52307002318707e-06, + "loss": 1.0049, + "step": 854 + }, + { + "epoch": 0.35, + "learning_rate": 7.517309226763556e-06, + "loss": 0.9463, + "step": 855 + }, + { + "epoch": 0.35, + "learning_rate": 7.511543950583362e-06, + "loss": 0.9453, + "step": 856 + }, + { + "epoch": 0.35, + "learning_rate": 7.505774204906266e-06, + "loss": 1.0381, + "step": 857 + }, + { + "epoch": 0.35, + "learning_rate": 7.500000000000001e-06, + "loss": 0.9297, + "step": 858 + }, + { + "epoch": 0.35, + "learning_rate": 7.494221346140234e-06, + "loss": 1.0542, + "step": 859 + }, + { + "epoch": 0.35, + "learning_rate": 7.488438253610551e-06, + "loss": 0.9648, + "step": 860 + }, + { + "epoch": 0.35, + "learning_rate": 7.482650732702436e-06, + "loss": 1.0078, + "step": 861 + }, + { + "epoch": 0.36, + "learning_rate": 7.476858793715252e-06, + "loss": 0.9648, + "step": 862 + }, + { + "epoch": 0.36, + "learning_rate": 7.471062446956226e-06, + "loss": 1.0938, + "step": 863 + }, + { + "epoch": 0.36, + "learning_rate": 7.465261702740431e-06, + "loss": 0.9741, + "step": 864 + }, + { + "epoch": 0.36, + "learning_rate": 7.459456571390762e-06, + "loss": 0.8853, + "step": 865 + }, + { + "epoch": 0.36, + "learning_rate": 7.453647063237921e-06, + "loss": 0.9956, + "step": 866 + }, + { + "epoch": 0.36, + "learning_rate": 7.447833188620405e-06, + "loss": 0.9683, + "step": 867 + }, + { + "epoch": 0.36, + "learning_rate": 7.442014957884473e-06, + "loss": 0.9253, + "step": 868 + }, + { + "epoch": 0.36, + "learning_rate": 7.4361923813841416e-06, + "loss": 0.9375, + "step": 869 + }, + { + "epoch": 0.36, + "learning_rate": 7.430365469481161e-06, + "loss": 0.9673, + "step": 870 + }, + { + "epoch": 0.36, + "learning_rate": 7.424534232544993e-06, + "loss": 0.9775, + "step": 871 + }, + { + "epoch": 0.36, + "learning_rate": 7.418698680952802e-06, + "loss": 0.9478, + "step": 872 + }, + { + "epoch": 0.36, + "learning_rate": 7.412858825089423e-06, + "loss": 0.9097, + "step": 873 + }, + { + "epoch": 0.36, + "learning_rate": 7.407014675347356e-06, + "loss": 1.1445, + "step": 874 + }, + { + "epoch": 0.36, + "learning_rate": 7.401166242126743e-06, + "loss": 0.9673, + "step": 875 + }, + { + "epoch": 0.36, + "learning_rate": 7.3953135358353446e-06, + "loss": 1.0454, + "step": 876 + }, + { + "epoch": 0.36, + "learning_rate": 7.389456566888529e-06, + "loss": 0.9233, + "step": 877 + }, + { + "epoch": 0.36, + "learning_rate": 7.38359534570925e-06, + "loss": 0.9214, + "step": 878 + }, + { + "epoch": 0.36, + "learning_rate": 7.377729882728026e-06, + "loss": 0.9976, + "step": 879 + }, + { + "epoch": 0.36, + "learning_rate": 7.37186018838293e-06, + "loss": 0.9023, + "step": 880 + }, + { + "epoch": 0.36, + "learning_rate": 7.365986273119555e-06, + "loss": 0.957, + "step": 881 + }, + { + "epoch": 0.36, + "learning_rate": 7.360108147391014e-06, + "loss": 1.0107, + "step": 882 + }, + { + "epoch": 0.36, + "learning_rate": 7.3542258216579136e-06, + "loss": 1.0474, + "step": 883 + }, + { + "epoch": 0.36, + "learning_rate": 7.3483393063883245e-06, + "loss": 0.9653, + "step": 884 + }, + { + "epoch": 0.36, + "learning_rate": 7.342448612057785e-06, + "loss": 0.8965, + "step": 885 + }, + { + "epoch": 0.36, + "learning_rate": 7.336553749149263e-06, + "loss": 1.0186, + "step": 886 + }, + { + "epoch": 0.37, + "learning_rate": 7.330654728153148e-06, + "loss": 1.0049, + "step": 887 + }, + { + "epoch": 0.37, + "learning_rate": 7.324751559567228e-06, + "loss": 0.9736, + "step": 888 + }, + { + "epoch": 0.37, + "learning_rate": 7.318844253896671e-06, + "loss": 0.9302, + "step": 889 + }, + { + "epoch": 0.37, + "learning_rate": 7.312932821654009e-06, + "loss": 0.998, + "step": 890 + }, + { + "epoch": 0.37, + "learning_rate": 7.307017273359116e-06, + "loss": 1.0645, + "step": 891 + }, + { + "epoch": 0.37, + "learning_rate": 7.301097619539193e-06, + "loss": 0.9375, + "step": 892 + }, + { + "epoch": 0.37, + "learning_rate": 7.295173870728744e-06, + "loss": 1.0137, + "step": 893 + }, + { + "epoch": 0.37, + "learning_rate": 7.289246037469564e-06, + "loss": 1.0078, + "step": 894 + }, + { + "epoch": 0.37, + "learning_rate": 7.283314130310716e-06, + "loss": 0.9482, + "step": 895 + }, + { + "epoch": 0.37, + "learning_rate": 7.277378159808508e-06, + "loss": 0.9272, + "step": 896 + }, + { + "epoch": 0.37, + "learning_rate": 7.271438136526484e-06, + "loss": 1.0396, + "step": 897 + }, + { + "epoch": 0.37, + "learning_rate": 7.265494071035401e-06, + "loss": 0.9883, + "step": 898 + }, + { + "epoch": 0.37, + "learning_rate": 7.259545973913206e-06, + "loss": 0.9878, + "step": 899 + }, + { + "epoch": 0.37, + "learning_rate": 7.253593855745023e-06, + "loss": 1.0137, + "step": 900 + }, + { + "epoch": 0.37, + "learning_rate": 7.247637727123127e-06, + "loss": 1.0039, + "step": 901 + }, + { + "epoch": 0.37, + "learning_rate": 7.2416775986469366e-06, + "loss": 1.0195, + "step": 902 + }, + { + "epoch": 0.37, + "learning_rate": 7.235713480922988e-06, + "loss": 0.9849, + "step": 903 + }, + { + "epoch": 0.37, + "learning_rate": 7.229745384564909e-06, + "loss": 0.9287, + "step": 904 + }, + { + "epoch": 0.37, + "learning_rate": 7.223773320193418e-06, + "loss": 0.958, + "step": 905 + }, + { + "epoch": 0.37, + "learning_rate": 7.217797298436285e-06, + "loss": 0.999, + "step": 906 + }, + { + "epoch": 0.37, + "learning_rate": 7.21181732992833e-06, + "loss": 0.8701, + "step": 907 + }, + { + "epoch": 0.37, + "learning_rate": 7.205833425311394e-06, + "loss": 1.0552, + "step": 908 + }, + { + "epoch": 0.37, + "learning_rate": 7.19984559523432e-06, + "loss": 1.0107, + "step": 909 + }, + { + "epoch": 0.37, + "learning_rate": 7.193853850352941e-06, + "loss": 0.9082, + "step": 910 + }, + { + "epoch": 0.38, + "learning_rate": 7.1878582013300546e-06, + "loss": 0.9399, + "step": 911 + }, + { + "epoch": 0.38, + "learning_rate": 7.181858658835405e-06, + "loss": 0.9624, + "step": 912 + }, + { + "epoch": 0.38, + "learning_rate": 7.175855233545669e-06, + "loss": 1.0015, + "step": 913 + }, + { + "epoch": 0.38, + "learning_rate": 7.169847936144427e-06, + "loss": 1.0288, + "step": 914 + }, + { + "epoch": 0.38, + "learning_rate": 7.163836777322157e-06, + "loss": 0.9937, + "step": 915 + }, + { + "epoch": 0.38, + "learning_rate": 7.157821767776203e-06, + "loss": 1.0015, + "step": 916 + }, + { + "epoch": 0.38, + "learning_rate": 7.151802918210765e-06, + "loss": 1.0615, + "step": 917 + }, + { + "epoch": 0.38, + "learning_rate": 7.145780239336878e-06, + "loss": 0.9224, + "step": 918 + }, + { + "epoch": 0.38, + "learning_rate": 7.139753741872385e-06, + "loss": 0.9775, + "step": 919 + }, + { + "epoch": 0.38, + "learning_rate": 7.133723436541932e-06, + "loss": 0.9683, + "step": 920 + }, + { + "epoch": 0.38, + "learning_rate": 7.127689334076937e-06, + "loss": 0.8789, + "step": 921 + }, + { + "epoch": 0.38, + "learning_rate": 7.121651445215577e-06, + "loss": 1.0479, + "step": 922 + }, + { + "epoch": 0.38, + "learning_rate": 7.115609780702767e-06, + "loss": 0.9609, + "step": 923 + }, + { + "epoch": 0.38, + "learning_rate": 7.109564351290139e-06, + "loss": 0.9814, + "step": 924 + }, + { + "epoch": 0.38, + "learning_rate": 7.10351516773603e-06, + "loss": 1.0518, + "step": 925 + }, + { + "epoch": 0.38, + "learning_rate": 7.097462240805451e-06, + "loss": 0.9844, + "step": 926 + }, + { + "epoch": 0.38, + "learning_rate": 7.091405581270079e-06, + "loss": 0.998, + "step": 927 + }, + { + "epoch": 0.38, + "learning_rate": 7.085345199908234e-06, + "loss": 0.9956, + "step": 928 + }, + { + "epoch": 0.38, + "learning_rate": 7.079281107504858e-06, + "loss": 0.9473, + "step": 929 + }, + { + "epoch": 0.38, + "learning_rate": 7.073213314851497e-06, + "loss": 0.9453, + "step": 930 + }, + { + "epoch": 0.38, + "learning_rate": 7.067141832746279e-06, + "loss": 0.9224, + "step": 931 + }, + { + "epoch": 0.38, + "learning_rate": 7.061066671993905e-06, + "loss": 1.0205, + "step": 932 + }, + { + "epoch": 0.38, + "learning_rate": 7.0549878434056155e-06, + "loss": 0.8926, + "step": 933 + }, + { + "epoch": 0.38, + "learning_rate": 7.048905357799181e-06, + "loss": 1.0083, + "step": 934 + }, + { + "epoch": 0.39, + "learning_rate": 7.04281922599888e-06, + "loss": 0.8081, + "step": 935 + }, + { + "epoch": 0.39, + "learning_rate": 7.036729458835481e-06, + "loss": 0.8882, + "step": 936 + }, + { + "epoch": 0.39, + "learning_rate": 7.030636067146217e-06, + "loss": 1.0371, + "step": 937 + }, + { + "epoch": 0.39, + "learning_rate": 7.024539061774778e-06, + "loss": 0.9409, + "step": 938 + }, + { + "epoch": 0.39, + "learning_rate": 7.018438453571279e-06, + "loss": 0.9946, + "step": 939 + }, + { + "epoch": 0.39, + "learning_rate": 7.01233425339225e-06, + "loss": 0.9517, + "step": 940 + }, + { + "epoch": 0.39, + "learning_rate": 7.006226472100611e-06, + "loss": 0.979, + "step": 941 + }, + { + "epoch": 0.39, + "learning_rate": 7.000115120565657e-06, + "loss": 0.9595, + "step": 942 + }, + { + "epoch": 0.39, + "learning_rate": 6.994000209663037e-06, + "loss": 0.875, + "step": 943 + }, + { + "epoch": 0.39, + "learning_rate": 6.987881750274729e-06, + "loss": 0.9819, + "step": 944 + }, + { + "epoch": 0.39, + "learning_rate": 6.981759753289032e-06, + "loss": 0.9546, + "step": 945 + }, + { + "epoch": 0.39, + "learning_rate": 6.975634229600539e-06, + "loss": 1.0464, + "step": 946 + }, + { + "epoch": 0.39, + "learning_rate": 6.969505190110114e-06, + "loss": 0.8813, + "step": 947 + }, + { + "epoch": 0.39, + "learning_rate": 6.9633726457248864e-06, + "loss": 1.0103, + "step": 948 + }, + { + "epoch": 0.39, + "learning_rate": 6.957236607358216e-06, + "loss": 0.9585, + "step": 949 + }, + { + "epoch": 0.39, + "learning_rate": 6.951097085929681e-06, + "loss": 0.8755, + "step": 950 + }, + { + "epoch": 0.39, + "learning_rate": 6.944954092365061e-06, + "loss": 1.0547, + "step": 951 + }, + { + "epoch": 0.39, + "learning_rate": 6.938807637596315e-06, + "loss": 0.9302, + "step": 952 + }, + { + "epoch": 0.39, + "learning_rate": 6.932657732561556e-06, + "loss": 0.9692, + "step": 953 + }, + { + "epoch": 0.39, + "learning_rate": 6.926504388205043e-06, + "loss": 0.9077, + "step": 954 + }, + { + "epoch": 0.39, + "learning_rate": 6.920347615477153e-06, + "loss": 0.9541, + "step": 955 + }, + { + "epoch": 0.39, + "learning_rate": 6.914187425334363e-06, + "loss": 1.0713, + "step": 956 + }, + { + "epoch": 0.39, + "learning_rate": 6.908023828739233e-06, + "loss": 1.041, + "step": 957 + }, + { + "epoch": 0.39, + "learning_rate": 6.901856836660386e-06, + "loss": 0.9912, + "step": 958 + }, + { + "epoch": 0.39, + "learning_rate": 6.895686460072486e-06, + "loss": 0.9902, + "step": 959 + }, + { + "epoch": 0.4, + "learning_rate": 6.889512709956221e-06, + "loss": 1.0151, + "step": 960 + }, + { + "epoch": 0.4, + "learning_rate": 6.883335597298279e-06, + "loss": 0.9844, + "step": 961 + }, + { + "epoch": 0.4, + "learning_rate": 6.8771551330913396e-06, + "loss": 0.9844, + "step": 962 + }, + { + "epoch": 0.4, + "learning_rate": 6.870971328334038e-06, + "loss": 0.915, + "step": 963 + }, + { + "epoch": 0.4, + "learning_rate": 6.864784194030958e-06, + "loss": 0.9961, + "step": 964 + }, + { + "epoch": 0.4, + "learning_rate": 6.858593741192612e-06, + "loss": 0.9775, + "step": 965 + }, + { + "epoch": 0.4, + "learning_rate": 6.852399980835413e-06, + "loss": 0.9897, + "step": 966 + }, + { + "epoch": 0.4, + "learning_rate": 6.846202923981661e-06, + "loss": 0.9829, + "step": 967 + }, + { + "epoch": 0.4, + "learning_rate": 6.840002581659522e-06, + "loss": 0.9653, + "step": 968 + }, + { + "epoch": 0.4, + "learning_rate": 6.833798964903013e-06, + "loss": 0.9644, + "step": 969 + }, + { + "epoch": 0.4, + "learning_rate": 6.827592084751975e-06, + "loss": 0.9429, + "step": 970 + }, + { + "epoch": 0.4, + "learning_rate": 6.821381952252053e-06, + "loss": 0.9731, + "step": 971 + }, + { + "epoch": 0.4, + "learning_rate": 6.815168578454686e-06, + "loss": 1.0845, + "step": 972 + }, + { + "epoch": 0.4, + "learning_rate": 6.808951974417077e-06, + "loss": 0.9004, + "step": 973 + }, + { + "epoch": 0.4, + "learning_rate": 6.80273215120218e-06, + "loss": 1.002, + "step": 974 + }, + { + "epoch": 0.4, + "learning_rate": 6.796509119878678e-06, + "loss": 0.9858, + "step": 975 + }, + { + "epoch": 0.4, + "learning_rate": 6.790282891520958e-06, + "loss": 0.9033, + "step": 976 + }, + { + "epoch": 0.4, + "learning_rate": 6.784053477209105e-06, + "loss": 0.9917, + "step": 977 + }, + { + "epoch": 0.4, + "learning_rate": 6.7778208880288644e-06, + "loss": 0.9531, + "step": 978 + }, + { + "epoch": 0.4, + "learning_rate": 6.7715851350716375e-06, + "loss": 1.0283, + "step": 979 + }, + { + "epoch": 0.4, + "learning_rate": 6.765346229434455e-06, + "loss": 1.0249, + "step": 980 + }, + { + "epoch": 0.4, + "learning_rate": 6.759104182219958e-06, + "loss": 1.0146, + "step": 981 + }, + { + "epoch": 0.4, + "learning_rate": 6.752859004536376e-06, + "loss": 0.9434, + "step": 982 + }, + { + "epoch": 0.4, + "learning_rate": 6.746610707497511e-06, + "loss": 0.9941, + "step": 983 + }, + { + "epoch": 0.41, + "learning_rate": 6.740359302222716e-06, + "loss": 0.9907, + "step": 984 + }, + { + "epoch": 0.41, + "learning_rate": 6.734104799836878e-06, + "loss": 0.9268, + "step": 985 + }, + { + "epoch": 0.41, + "learning_rate": 6.727847211470391e-06, + "loss": 1.0078, + "step": 986 + }, + { + "epoch": 0.41, + "learning_rate": 6.721586548259142e-06, + "loss": 0.9854, + "step": 987 + }, + { + "epoch": 0.41, + "learning_rate": 6.715322821344495e-06, + "loss": 0.9814, + "step": 988 + }, + { + "epoch": 0.41, + "learning_rate": 6.709056041873256e-06, + "loss": 1.0063, + "step": 989 + }, + { + "epoch": 0.41, + "learning_rate": 6.702786220997674e-06, + "loss": 0.9888, + "step": 990 + }, + { + "epoch": 0.41, + "learning_rate": 6.696513369875403e-06, + "loss": 0.8789, + "step": 991 + }, + { + "epoch": 0.41, + "learning_rate": 6.6902374996694945e-06, + "loss": 0.9233, + "step": 992 + }, + { + "epoch": 0.41, + "learning_rate": 6.683958621548368e-06, + "loss": 0.8691, + "step": 993 + }, + { + "epoch": 0.41, + "learning_rate": 6.6776767466857974e-06, + "loss": 1.0063, + "step": 994 + }, + { + "epoch": 0.41, + "learning_rate": 6.671391886260895e-06, + "loss": 0.9702, + "step": 995 + }, + { + "epoch": 0.41, + "learning_rate": 6.665104051458077e-06, + "loss": 0.9082, + "step": 996 + }, + { + "epoch": 0.41, + "learning_rate": 6.65881325346706e-06, + "loss": 0.957, + "step": 997 + }, + { + "epoch": 0.41, + "learning_rate": 6.652519503482829e-06, + "loss": 0.8896, + "step": 998 + }, + { + "epoch": 0.41, + "learning_rate": 6.646222812705625e-06, + "loss": 0.8652, + "step": 999 + }, + { + "epoch": 0.41, + "learning_rate": 6.639923192340923e-06, + "loss": 0.9028, + "step": 1000 + }, + { + "epoch": 0.41, + "learning_rate": 6.633620653599409e-06, + "loss": 0.8496, + "step": 1001 + }, + { + "epoch": 0.41, + "learning_rate": 6.627315207696966e-06, + "loss": 0.937, + "step": 1002 + }, + { + "epoch": 0.41, + "learning_rate": 6.621006865854645e-06, + "loss": 0.8994, + "step": 1003 + }, + { + "epoch": 0.41, + "learning_rate": 6.614695639298654e-06, + "loss": 0.9658, + "step": 1004 + }, + { + "epoch": 0.41, + "learning_rate": 6.608381539260338e-06, + "loss": 0.9956, + "step": 1005 + }, + { + "epoch": 0.41, + "learning_rate": 6.602064576976148e-06, + "loss": 0.9585, + "step": 1006 + }, + { + "epoch": 0.41, + "learning_rate": 6.595744763687635e-06, + "loss": 0.9512, + "step": 1007 + }, + { + "epoch": 0.42, + "learning_rate": 6.58942211064142e-06, + "loss": 0.8765, + "step": 1008 + }, + { + "epoch": 0.42, + "learning_rate": 6.583096629089178e-06, + "loss": 0.9375, + "step": 1009 + }, + { + "epoch": 0.42, + "learning_rate": 6.5767683302876214e-06, + "loss": 0.9263, + "step": 1010 + }, + { + "epoch": 0.42, + "learning_rate": 6.570437225498471e-06, + "loss": 0.9653, + "step": 1011 + }, + { + "epoch": 0.42, + "learning_rate": 6.564103325988442e-06, + "loss": 1.0127, + "step": 1012 + }, + { + "epoch": 0.42, + "learning_rate": 6.557766643029226e-06, + "loss": 0.9712, + "step": 1013 + }, + { + "epoch": 0.42, + "learning_rate": 6.551427187897465e-06, + "loss": 0.9761, + "step": 1014 + }, + { + "epoch": 0.42, + "learning_rate": 6.545084971874738e-06, + "loss": 0.9717, + "step": 1015 + }, + { + "epoch": 0.42, + "learning_rate": 6.53874000624753e-06, + "loss": 1.0298, + "step": 1016 + }, + { + "epoch": 0.42, + "learning_rate": 6.532392302307228e-06, + "loss": 1.0454, + "step": 1017 + }, + { + "epoch": 0.42, + "learning_rate": 6.526041871350086e-06, + "loss": 0.8159, + "step": 1018 + }, + { + "epoch": 0.42, + "learning_rate": 6.519688724677214e-06, + "loss": 1.0137, + "step": 1019 + }, + { + "epoch": 0.42, + "learning_rate": 6.513332873594552e-06, + "loss": 0.9209, + "step": 1020 + }, + { + "epoch": 0.42, + "learning_rate": 6.506974329412855e-06, + "loss": 0.8604, + "step": 1021 + }, + { + "epoch": 0.42, + "learning_rate": 6.5006131034476695e-06, + "loss": 0.8945, + "step": 1022 + }, + { + "epoch": 0.42, + "learning_rate": 6.494249207019317e-06, + "loss": 0.9917, + "step": 1023 + }, + { + "epoch": 0.42, + "learning_rate": 6.487882651452867e-06, + "loss": 0.9453, + "step": 1024 + }, + { + "epoch": 0.42, + "learning_rate": 6.481513448078125e-06, + "loss": 0.9927, + "step": 1025 + }, + { + "epoch": 0.42, + "learning_rate": 6.475141608229605e-06, + "loss": 0.9351, + "step": 1026 + }, + { + "epoch": 0.42, + "learning_rate": 6.468767143246515e-06, + "loss": 0.9194, + "step": 1027 + }, + { + "epoch": 0.42, + "learning_rate": 6.462390064472736e-06, + "loss": 0.9727, + "step": 1028 + }, + { + "epoch": 0.42, + "learning_rate": 6.456010383256799e-06, + "loss": 1.0771, + "step": 1029 + }, + { + "epoch": 0.42, + "learning_rate": 6.449628110951864e-06, + "loss": 0.9707, + "step": 1030 + }, + { + "epoch": 0.42, + "learning_rate": 6.443243258915703e-06, + "loss": 1.0093, + "step": 1031 + }, + { + "epoch": 0.43, + "learning_rate": 6.436855838510684e-06, + "loss": 0.9155, + "step": 1032 + }, + { + "epoch": 0.43, + "learning_rate": 6.43046586110374e-06, + "loss": 0.9399, + "step": 1033 + }, + { + "epoch": 0.43, + "learning_rate": 6.424073338066354e-06, + "loss": 1.0039, + "step": 1034 + }, + { + "epoch": 0.43, + "learning_rate": 6.417678280774542e-06, + "loss": 0.9414, + "step": 1035 + }, + { + "epoch": 0.43, + "learning_rate": 6.411280700608831e-06, + "loss": 1.0278, + "step": 1036 + }, + { + "epoch": 0.43, + "learning_rate": 6.404880608954231e-06, + "loss": 0.9849, + "step": 1037 + }, + { + "epoch": 0.43, + "learning_rate": 6.3984780172002335e-06, + "loss": 0.9531, + "step": 1038 + }, + { + "epoch": 0.43, + "learning_rate": 6.3920729367407645e-06, + "loss": 1.0234, + "step": 1039 + }, + { + "epoch": 0.43, + "learning_rate": 6.3856653789741905e-06, + "loss": 0.9541, + "step": 1040 + }, + { + "epoch": 0.43, + "learning_rate": 6.3792553553032785e-06, + "loss": 0.9272, + "step": 1041 + }, + { + "epoch": 0.43, + "learning_rate": 6.372842877135191e-06, + "loss": 0.9341, + "step": 1042 + }, + { + "epoch": 0.43, + "learning_rate": 6.366427955881453e-06, + "loss": 0.9453, + "step": 1043 + }, + { + "epoch": 0.43, + "learning_rate": 6.36001060295794e-06, + "loss": 1.0093, + "step": 1044 + }, + { + "epoch": 0.43, + "learning_rate": 6.353590829784853e-06, + "loss": 0.9355, + "step": 1045 + }, + { + "epoch": 0.43, + "learning_rate": 6.347168647786701e-06, + "loss": 0.9429, + "step": 1046 + }, + { + "epoch": 0.43, + "learning_rate": 6.340744068392279e-06, + "loss": 1.0371, + "step": 1047 + }, + { + "epoch": 0.43, + "learning_rate": 6.3343171030346525e-06, + "loss": 1.0415, + "step": 1048 + }, + { + "epoch": 0.43, + "learning_rate": 6.327887763151125e-06, + "loss": 0.8677, + "step": 1049 + }, + { + "epoch": 0.43, + "learning_rate": 6.321456060183233e-06, + "loss": 1.0234, + "step": 1050 + }, + { + "epoch": 0.43, + "learning_rate": 6.315022005576713e-06, + "loss": 1.1011, + "step": 1051 + }, + { + "epoch": 0.43, + "learning_rate": 6.308585610781491e-06, + "loss": 0.979, + "step": 1052 + }, + { + "epoch": 0.43, + "learning_rate": 6.302146887251656e-06, + "loss": 0.9785, + "step": 1053 + }, + { + "epoch": 0.43, + "learning_rate": 6.295705846445439e-06, + "loss": 0.9893, + "step": 1054 + }, + { + "epoch": 0.43, + "learning_rate": 6.289262499825197e-06, + "loss": 0.9043, + "step": 1055 + }, + { + "epoch": 0.43, + "learning_rate": 6.282816858857389e-06, + "loss": 1.0532, + "step": 1056 + }, + { + "epoch": 0.44, + "learning_rate": 6.276368935012559e-06, + "loss": 0.9214, + "step": 1057 + }, + { + "epoch": 0.44, + "learning_rate": 6.269918739765313e-06, + "loss": 0.9453, + "step": 1058 + }, + { + "epoch": 0.44, + "learning_rate": 6.263466284594295e-06, + "loss": 0.9106, + "step": 1059 + }, + { + "epoch": 0.44, + "learning_rate": 6.257011580982179e-06, + "loss": 0.9185, + "step": 1060 + }, + { + "epoch": 0.44, + "learning_rate": 6.250554640415631e-06, + "loss": 0.9316, + "step": 1061 + }, + { + "epoch": 0.44, + "learning_rate": 6.2440954743853055e-06, + "loss": 1.0186, + "step": 1062 + }, + { + "epoch": 0.44, + "learning_rate": 6.237634094385814e-06, + "loss": 0.9751, + "step": 1063 + }, + { + "epoch": 0.44, + "learning_rate": 6.231170511915706e-06, + "loss": 0.9736, + "step": 1064 + }, + { + "epoch": 0.44, + "learning_rate": 6.224704738477456e-06, + "loss": 0.9111, + "step": 1065 + }, + { + "epoch": 0.44, + "learning_rate": 6.218236785577431e-06, + "loss": 0.9521, + "step": 1066 + }, + { + "epoch": 0.44, + "learning_rate": 6.211766664725879e-06, + "loss": 0.9282, + "step": 1067 + }, + { + "epoch": 0.44, + "learning_rate": 6.205294387436911e-06, + "loss": 0.9771, + "step": 1068 + }, + { + "epoch": 0.44, + "learning_rate": 6.198819965228468e-06, + "loss": 0.9653, + "step": 1069 + }, + { + "epoch": 0.44, + "learning_rate": 6.192343409622312e-06, + "loss": 0.9028, + "step": 1070 + }, + { + "epoch": 0.44, + "learning_rate": 6.1858647321440014e-06, + "loss": 0.9087, + "step": 1071 + }, + { + "epoch": 0.44, + "learning_rate": 6.1793839443228685e-06, + "loss": 0.8545, + "step": 1072 + }, + { + "epoch": 0.44, + "learning_rate": 6.172901057692007e-06, + "loss": 1.0005, + "step": 1073 + }, + { + "epoch": 0.44, + "learning_rate": 6.166416083788236e-06, + "loss": 0.9419, + "step": 1074 + }, + { + "epoch": 0.44, + "learning_rate": 6.159929034152098e-06, + "loss": 0.8833, + "step": 1075 + }, + { + "epoch": 0.44, + "learning_rate": 6.153439920327824e-06, + "loss": 0.9453, + "step": 1076 + }, + { + "epoch": 0.44, + "learning_rate": 6.14694875386332e-06, + "loss": 0.9336, + "step": 1077 + }, + { + "epoch": 0.44, + "learning_rate": 6.140455546310149e-06, + "loss": 0.8584, + "step": 1078 + }, + { + "epoch": 0.44, + "learning_rate": 6.133960309223496e-06, + "loss": 0.9585, + "step": 1079 + }, + { + "epoch": 0.44, + "learning_rate": 6.1274630541621715e-06, + "loss": 0.9092, + "step": 1080 + }, + { + "epoch": 0.45, + "learning_rate": 6.1209637926885635e-06, + "loss": 0.8945, + "step": 1081 + }, + { + "epoch": 0.45, + "learning_rate": 6.114462536368639e-06, + "loss": 0.9863, + "step": 1082 + }, + { + "epoch": 0.45, + "learning_rate": 6.107959296771915e-06, + "loss": 0.8418, + "step": 1083 + }, + { + "epoch": 0.45, + "learning_rate": 6.1014540854714324e-06, + "loss": 0.9478, + "step": 1084 + }, + { + "epoch": 0.45, + "learning_rate": 6.094946914043747e-06, + "loss": 0.9883, + "step": 1085 + }, + { + "epoch": 0.45, + "learning_rate": 6.0884377940688965e-06, + "loss": 0.9692, + "step": 1086 + }, + { + "epoch": 0.45, + "learning_rate": 6.081926737130392e-06, + "loss": 0.9526, + "step": 1087 + }, + { + "epoch": 0.45, + "learning_rate": 6.075413754815191e-06, + "loss": 1.0029, + "step": 1088 + }, + { + "epoch": 0.45, + "learning_rate": 6.068898858713673e-06, + "loss": 0.9795, + "step": 1089 + }, + { + "epoch": 0.45, + "learning_rate": 6.062382060419628e-06, + "loss": 0.8687, + "step": 1090 + }, + { + "epoch": 0.45, + "learning_rate": 6.0558633715302275e-06, + "loss": 0.9258, + "step": 1091 + }, + { + "epoch": 0.45, + "learning_rate": 6.049342803646008e-06, + "loss": 1.0234, + "step": 1092 + }, + { + "epoch": 0.45, + "learning_rate": 6.042820368370854e-06, + "loss": 0.9619, + "step": 1093 + }, + { + "epoch": 0.45, + "learning_rate": 6.0362960773119675e-06, + "loss": 0.9888, + "step": 1094 + }, + { + "epoch": 0.45, + "learning_rate": 6.0297699420798564e-06, + "loss": 0.8301, + "step": 1095 + }, + { + "epoch": 0.45, + "learning_rate": 6.023241974288308e-06, + "loss": 1.0015, + "step": 1096 + }, + { + "epoch": 0.45, + "learning_rate": 6.016712185554375e-06, + "loss": 0.8696, + "step": 1097 + }, + { + "epoch": 0.45, + "learning_rate": 6.010180587498347e-06, + "loss": 0.9849, + "step": 1098 + }, + { + "epoch": 0.45, + "learning_rate": 6.003647191743734e-06, + "loss": 0.8643, + "step": 1099 + }, + { + "epoch": 0.45, + "learning_rate": 5.997112009917247e-06, + "loss": 1.0244, + "step": 1100 + }, + { + "epoch": 0.45, + "learning_rate": 5.990575053648772e-06, + "loss": 0.9844, + "step": 1101 + }, + { + "epoch": 0.45, + "learning_rate": 5.984036334571354e-06, + "loss": 1.0249, + "step": 1102 + }, + { + "epoch": 0.45, + "learning_rate": 5.977495864321179e-06, + "loss": 0.9492, + "step": 1103 + }, + { + "epoch": 0.45, + "learning_rate": 5.970953654537545e-06, + "loss": 1.0059, + "step": 1104 + }, + { + "epoch": 0.46, + "learning_rate": 5.9644097168628455e-06, + "loss": 0.9111, + "step": 1105 + }, + { + "epoch": 0.46, + "learning_rate": 5.957864062942551e-06, + "loss": 0.835, + "step": 1106 + }, + { + "epoch": 0.46, + "learning_rate": 5.9513167044251865e-06, + "loss": 1.0591, + "step": 1107 + }, + { + "epoch": 0.46, + "learning_rate": 5.944767652962309e-06, + "loss": 0.9497, + "step": 1108 + }, + { + "epoch": 0.46, + "learning_rate": 5.938216920208488e-06, + "loss": 0.9775, + "step": 1109 + }, + { + "epoch": 0.46, + "learning_rate": 5.931664517821286e-06, + "loss": 0.917, + "step": 1110 + }, + { + "epoch": 0.46, + "learning_rate": 5.925110457461236e-06, + "loss": 0.9731, + "step": 1111 + }, + { + "epoch": 0.46, + "learning_rate": 5.9185547507918224e-06, + "loss": 0.9624, + "step": 1112 + }, + { + "epoch": 0.46, + "learning_rate": 5.911997409479461e-06, + "loss": 0.9453, + "step": 1113 + }, + { + "epoch": 0.46, + "learning_rate": 5.90543844519347e-06, + "loss": 0.9419, + "step": 1114 + }, + { + "epoch": 0.46, + "learning_rate": 5.8988778696060636e-06, + "loss": 1.0498, + "step": 1115 + }, + { + "epoch": 0.46, + "learning_rate": 5.8923156943923176e-06, + "loss": 0.9717, + "step": 1116 + }, + { + "epoch": 0.46, + "learning_rate": 5.885751931230159e-06, + "loss": 0.957, + "step": 1117 + }, + { + "epoch": 0.46, + "learning_rate": 5.879186591800339e-06, + "loss": 0.9038, + "step": 1118 + }, + { + "epoch": 0.46, + "learning_rate": 5.872619687786412e-06, + "loss": 0.9307, + "step": 1119 + }, + { + "epoch": 0.46, + "learning_rate": 5.866051230874719e-06, + "loss": 0.8696, + "step": 1120 + }, + { + "epoch": 0.46, + "learning_rate": 5.8594812327543625e-06, + "loss": 0.9629, + "step": 1121 + }, + { + "epoch": 0.46, + "learning_rate": 5.85290970511719e-06, + "loss": 1.0405, + "step": 1122 + }, + { + "epoch": 0.46, + "learning_rate": 5.8463366596577706e-06, + "loss": 0.9688, + "step": 1123 + }, + { + "epoch": 0.46, + "learning_rate": 5.839762108073372e-06, + "loss": 1.0347, + "step": 1124 + }, + { + "epoch": 0.46, + "learning_rate": 5.833186062063947e-06, + "loss": 1.0186, + "step": 1125 + }, + { + "epoch": 0.46, + "learning_rate": 5.826608533332101e-06, + "loss": 0.917, + "step": 1126 + }, + { + "epoch": 0.46, + "learning_rate": 5.8200295335830836e-06, + "loss": 0.9834, + "step": 1127 + }, + { + "epoch": 0.46, + "learning_rate": 5.8134490745247615e-06, + "loss": 0.9268, + "step": 1128 + }, + { + "epoch": 0.46, + "learning_rate": 5.806867167867595e-06, + "loss": 0.9858, + "step": 1129 + }, + { + "epoch": 0.47, + "learning_rate": 5.800283825324623e-06, + "loss": 0.8911, + "step": 1130 + }, + { + "epoch": 0.47, + "learning_rate": 5.793699058611442e-06, + "loss": 0.916, + "step": 1131 + }, + { + "epoch": 0.47, + "learning_rate": 5.787112879446177e-06, + "loss": 0.9756, + "step": 1132 + }, + { + "epoch": 0.47, + "learning_rate": 5.780525299549473e-06, + "loss": 0.9414, + "step": 1133 + }, + { + "epoch": 0.47, + "learning_rate": 5.773936330644462e-06, + "loss": 0.9863, + "step": 1134 + }, + { + "epoch": 0.47, + "learning_rate": 5.767345984456751e-06, + "loss": 0.979, + "step": 1135 + }, + { + "epoch": 0.47, + "learning_rate": 5.7607542727144e-06, + "loss": 0.8818, + "step": 1136 + }, + { + "epoch": 0.47, + "learning_rate": 5.754161207147895e-06, + "loss": 0.8242, + "step": 1137 + }, + { + "epoch": 0.47, + "learning_rate": 5.7475667994901316e-06, + "loss": 0.9336, + "step": 1138 + }, + { + "epoch": 0.47, + "learning_rate": 5.740971061476397e-06, + "loss": 0.9326, + "step": 1139 + }, + { + "epoch": 0.47, + "learning_rate": 5.734374004844342e-06, + "loss": 0.9268, + "step": 1140 + }, + { + "epoch": 0.47, + "learning_rate": 5.727775641333968e-06, + "loss": 1.0234, + "step": 1141 + }, + { + "epoch": 0.47, + "learning_rate": 5.721175982687597e-06, + "loss": 0.9072, + "step": 1142 + }, + { + "epoch": 0.47, + "learning_rate": 5.714575040649863e-06, + "loss": 0.8374, + "step": 1143 + }, + { + "epoch": 0.47, + "learning_rate": 5.707972826967675e-06, + "loss": 0.8989, + "step": 1144 + }, + { + "epoch": 0.47, + "learning_rate": 5.701369353390212e-06, + "loss": 1.062, + "step": 1145 + }, + { + "epoch": 0.47, + "learning_rate": 5.694764631668895e-06, + "loss": 0.9429, + "step": 1146 + }, + { + "epoch": 0.47, + "learning_rate": 5.68815867355736e-06, + "loss": 0.8965, + "step": 1147 + }, + { + "epoch": 0.47, + "learning_rate": 5.68155149081145e-06, + "loss": 0.938, + "step": 1148 + }, + { + "epoch": 0.47, + "learning_rate": 5.674943095189183e-06, + "loss": 0.8481, + "step": 1149 + }, + { + "epoch": 0.47, + "learning_rate": 5.668333498450736e-06, + "loss": 0.8813, + "step": 1150 + }, + { + "epoch": 0.47, + "learning_rate": 5.661722712358428e-06, + "loss": 0.9663, + "step": 1151 + }, + { + "epoch": 0.47, + "learning_rate": 5.655110748676687e-06, + "loss": 0.9653, + "step": 1152 + }, + { + "epoch": 0.47, + "learning_rate": 5.648497619172042e-06, + "loss": 0.9556, + "step": 1153 + }, + { + "epoch": 0.48, + "learning_rate": 5.641883335613096e-06, + "loss": 0.9146, + "step": 1154 + }, + { + "epoch": 0.48, + "learning_rate": 5.635267909770504e-06, + "loss": 0.9053, + "step": 1155 + }, + { + "epoch": 0.48, + "learning_rate": 5.628651353416957e-06, + "loss": 0.9121, + "step": 1156 + }, + { + "epoch": 0.48, + "learning_rate": 5.622033678327153e-06, + "loss": 1.0386, + "step": 1157 + }, + { + "epoch": 0.48, + "learning_rate": 5.615414896277786e-06, + "loss": 1.019, + "step": 1158 + }, + { + "epoch": 0.48, + "learning_rate": 5.608795019047514e-06, + "loss": 0.8813, + "step": 1159 + }, + { + "epoch": 0.48, + "learning_rate": 5.6021740584169495e-06, + "loss": 0.9453, + "step": 1160 + }, + { + "epoch": 0.48, + "learning_rate": 5.595552026168631e-06, + "loss": 0.9639, + "step": 1161 + }, + { + "epoch": 0.48, + "learning_rate": 5.588928934087003e-06, + "loss": 1.0303, + "step": 1162 + }, + { + "epoch": 0.48, + "learning_rate": 5.5823047939584e-06, + "loss": 1.0181, + "step": 1163 + }, + { + "epoch": 0.48, + "learning_rate": 5.575679617571014e-06, + "loss": 1.0161, + "step": 1164 + }, + { + "epoch": 0.48, + "learning_rate": 5.569053416714887e-06, + "loss": 0.9512, + "step": 1165 + }, + { + "epoch": 0.48, + "learning_rate": 5.562426203181886e-06, + "loss": 0.8721, + "step": 1166 + }, + { + "epoch": 0.48, + "learning_rate": 5.555797988765673e-06, + "loss": 0.9282, + "step": 1167 + }, + { + "epoch": 0.48, + "learning_rate": 5.549168785261698e-06, + "loss": 0.9077, + "step": 1168 + }, + { + "epoch": 0.48, + "learning_rate": 5.5425386044671655e-06, + "loss": 1.0332, + "step": 1169 + }, + { + "epoch": 0.48, + "learning_rate": 5.535907458181023e-06, + "loss": 0.9546, + "step": 1170 + }, + { + "epoch": 0.48, + "learning_rate": 5.529275358203938e-06, + "loss": 0.853, + "step": 1171 + }, + { + "epoch": 0.48, + "learning_rate": 5.522642316338268e-06, + "loss": 0.9653, + "step": 1172 + }, + { + "epoch": 0.48, + "learning_rate": 5.516008344388053e-06, + "loss": 0.8916, + "step": 1173 + }, + { + "epoch": 0.48, + "learning_rate": 5.509373454158986e-06, + "loss": 0.9146, + "step": 1174 + }, + { + "epoch": 0.48, + "learning_rate": 5.502737657458393e-06, + "loss": 0.9492, + "step": 1175 + }, + { + "epoch": 0.48, + "learning_rate": 5.496100966095217e-06, + "loss": 0.9702, + "step": 1176 + }, + { + "epoch": 0.48, + "learning_rate": 5.489463391879986e-06, + "loss": 0.9639, + "step": 1177 + }, + { + "epoch": 0.49, + "learning_rate": 5.4828249466248095e-06, + "loss": 0.9102, + "step": 1178 + }, + { + "epoch": 0.49, + "learning_rate": 5.476185642143337e-06, + "loss": 0.9092, + "step": 1179 + }, + { + "epoch": 0.49, + "learning_rate": 5.469545490250753e-06, + "loss": 0.9824, + "step": 1180 + }, + { + "epoch": 0.49, + "learning_rate": 5.462904502763747e-06, + "loss": 0.959, + "step": 1181 + }, + { + "epoch": 0.49, + "learning_rate": 5.456262691500498e-06, + "loss": 0.9517, + "step": 1182 + }, + { + "epoch": 0.49, + "learning_rate": 5.44962006828065e-06, + "loss": 1.1494, + "step": 1183 + }, + { + "epoch": 0.49, + "learning_rate": 5.442976644925291e-06, + "loss": 0.9336, + "step": 1184 + }, + { + "epoch": 0.49, + "learning_rate": 5.436332433256932e-06, + "loss": 0.916, + "step": 1185 + }, + { + "epoch": 0.49, + "learning_rate": 5.429687445099493e-06, + "loss": 0.9443, + "step": 1186 + }, + { + "epoch": 0.49, + "learning_rate": 5.423041692278267e-06, + "loss": 0.9624, + "step": 1187 + }, + { + "epoch": 0.49, + "learning_rate": 5.416395186619915e-06, + "loss": 0.9336, + "step": 1188 + }, + { + "epoch": 0.49, + "learning_rate": 5.409747939952432e-06, + "loss": 0.8882, + "step": 1189 + }, + { + "epoch": 0.49, + "learning_rate": 5.4030999641051366e-06, + "loss": 0.9731, + "step": 1190 + }, + { + "epoch": 0.49, + "learning_rate": 5.396451270908642e-06, + "loss": 0.9292, + "step": 1191 + }, + { + "epoch": 0.49, + "learning_rate": 5.38980187219484e-06, + "loss": 0.9912, + "step": 1192 + }, + { + "epoch": 0.49, + "learning_rate": 5.383151779796877e-06, + "loss": 0.9512, + "step": 1193 + }, + { + "epoch": 0.49, + "learning_rate": 5.376501005549132e-06, + "loss": 0.9653, + "step": 1194 + }, + { + "epoch": 0.49, + "learning_rate": 5.3698495612872e-06, + "loss": 0.8599, + "step": 1195 + }, + { + "epoch": 0.49, + "learning_rate": 5.3631974588478694e-06, + "loss": 1.0103, + "step": 1196 + }, + { + "epoch": 0.49, + "learning_rate": 5.356544710069095e-06, + "loss": 0.9551, + "step": 1197 + }, + { + "epoch": 0.49, + "learning_rate": 5.3498913267899864e-06, + "loss": 0.9287, + "step": 1198 + }, + { + "epoch": 0.49, + "learning_rate": 5.34323732085078e-06, + "loss": 0.8584, + "step": 1199 + }, + { + "epoch": 0.49, + "learning_rate": 5.336582704092821e-06, + "loss": 0.8613, + "step": 1200 + }, + { + "epoch": 0.49, + "learning_rate": 5.329927488358544e-06, + "loss": 0.9287, + "step": 1201 + }, + { + "epoch": 0.5, + "learning_rate": 5.3232716854914435e-06, + "loss": 0.9673, + "step": 1202 + }, + { + "epoch": 0.5, + "learning_rate": 5.316615307336065e-06, + "loss": 0.9409, + "step": 1203 + }, + { + "epoch": 0.5, + "learning_rate": 5.309958365737973e-06, + "loss": 0.8979, + "step": 1204 + }, + { + "epoch": 0.5, + "learning_rate": 5.303300872543739e-06, + "loss": 0.9092, + "step": 1205 + }, + { + "epoch": 0.5, + "learning_rate": 5.296642839600914e-06, + "loss": 1.0361, + "step": 1206 + }, + { + "epoch": 0.5, + "learning_rate": 5.289984278758009e-06, + "loss": 0.9912, + "step": 1207 + }, + { + "epoch": 0.5, + "learning_rate": 5.283325201864475e-06, + "loss": 0.918, + "step": 1208 + }, + { + "epoch": 0.5, + "learning_rate": 5.2766656207706814e-06, + "loss": 0.8882, + "step": 1209 + }, + { + "epoch": 0.5, + "learning_rate": 5.2700055473278935e-06, + "loss": 0.9194, + "step": 1210 + }, + { + "epoch": 0.5, + "learning_rate": 5.263344993388257e-06, + "loss": 0.8516, + "step": 1211 + }, + { + "epoch": 0.5, + "learning_rate": 5.256683970804768e-06, + "loss": 0.8823, + "step": 1212 + }, + { + "epoch": 0.5, + "learning_rate": 5.250022491431259e-06, + "loss": 0.9927, + "step": 1213 + }, + { + "epoch": 0.5, + "learning_rate": 5.2433605671223745e-06, + "loss": 0.915, + "step": 1214 + }, + { + "epoch": 0.5, + "learning_rate": 5.236698209733549e-06, + "loss": 1.0161, + "step": 1215 + }, + { + "epoch": 0.5, + "learning_rate": 5.2300354311209955e-06, + "loss": 0.9512, + "step": 1216 + }, + { + "epoch": 0.5, + "learning_rate": 5.223372243141665e-06, + "loss": 0.8745, + "step": 1217 + }, + { + "epoch": 0.5, + "learning_rate": 5.216708657653247e-06, + "loss": 0.9375, + "step": 1218 + }, + { + "epoch": 0.5, + "learning_rate": 5.210044686514129e-06, + "loss": 0.8843, + "step": 1219 + }, + { + "epoch": 0.5, + "learning_rate": 5.203380341583396e-06, + "loss": 0.9478, + "step": 1220 + }, + { + "epoch": 0.5, + "learning_rate": 5.196715634720791e-06, + "loss": 0.8496, + "step": 1221 + }, + { + "epoch": 0.5, + "learning_rate": 5.190050577786699e-06, + "loss": 0.9268, + "step": 1222 + }, + { + "epoch": 0.5, + "learning_rate": 5.183385182642136e-06, + "loss": 1.0381, + "step": 1223 + }, + { + "epoch": 0.5, + "learning_rate": 5.17671946114871e-06, + "loss": 0.9077, + "step": 1224 + }, + { + "epoch": 0.5, + "learning_rate": 5.170053425168619e-06, + "loss": 0.9639, + "step": 1225 + }, + { + "epoch": 0.5, + "learning_rate": 5.1633870865646164e-06, + "loss": 0.9531, + "step": 1226 + }, + { + "epoch": 0.51, + "learning_rate": 5.156720457199992e-06, + "loss": 0.9209, + "step": 1227 + }, + { + "epoch": 0.51, + "learning_rate": 5.150053548938557e-06, + "loss": 0.9053, + "step": 1228 + }, + { + "epoch": 0.51, + "learning_rate": 5.143386373644618e-06, + "loss": 0.9443, + "step": 1229 + }, + { + "epoch": 0.51, + "learning_rate": 5.136718943182954e-06, + "loss": 0.9614, + "step": 1230 + }, + { + "epoch": 0.51, + "learning_rate": 5.130051269418804e-06, + "loss": 0.9307, + "step": 1231 + }, + { + "epoch": 0.51, + "learning_rate": 5.1233833642178325e-06, + "loss": 0.9473, + "step": 1232 + }, + { + "epoch": 0.51, + "learning_rate": 5.116715239446121e-06, + "loss": 0.9653, + "step": 1233 + }, + { + "epoch": 0.51, + "learning_rate": 5.11004690697014e-06, + "loss": 1.0645, + "step": 1234 + }, + { + "epoch": 0.51, + "learning_rate": 5.1033783786567295e-06, + "loss": 0.9614, + "step": 1235 + }, + { + "epoch": 0.51, + "learning_rate": 5.09670966637308e-06, + "loss": 0.8809, + "step": 1236 + }, + { + "epoch": 0.51, + "learning_rate": 5.090040781986706e-06, + "loss": 0.9482, + "step": 1237 + }, + { + "epoch": 0.51, + "learning_rate": 5.083371737365433e-06, + "loss": 0.9639, + "step": 1238 + }, + { + "epoch": 0.51, + "learning_rate": 5.076702544377366e-06, + "loss": 0.8799, + "step": 1239 + }, + { + "epoch": 0.51, + "learning_rate": 5.070033214890876e-06, + "loss": 0.9692, + "step": 1240 + }, + { + "epoch": 0.51, + "learning_rate": 5.0633637607745815e-06, + "loss": 1.0024, + "step": 1241 + }, + { + "epoch": 0.51, + "learning_rate": 5.056694193897316e-06, + "loss": 0.9375, + "step": 1242 + }, + { + "epoch": 0.51, + "learning_rate": 5.050024526128118e-06, + "loss": 0.9502, + "step": 1243 + }, + { + "epoch": 0.51, + "learning_rate": 5.043354769336203e-06, + "loss": 0.8955, + "step": 1244 + }, + { + "epoch": 0.51, + "learning_rate": 5.036684935390946e-06, + "loss": 0.9912, + "step": 1245 + }, + { + "epoch": 0.51, + "learning_rate": 5.030015036161863e-06, + "loss": 0.9546, + "step": 1246 + }, + { + "epoch": 0.51, + "learning_rate": 5.023345083518577e-06, + "loss": 1.0039, + "step": 1247 + }, + { + "epoch": 0.51, + "learning_rate": 5.016675089330817e-06, + "loss": 0.9404, + "step": 1248 + }, + { + "epoch": 0.51, + "learning_rate": 5.0100050654683766e-06, + "loss": 0.9497, + "step": 1249 + }, + { + "epoch": 0.51, + "learning_rate": 5.003335023801108e-06, + "loss": 0.9331, + "step": 1250 + }, + { + "epoch": 0.52, + "learning_rate": 4.996664976198894e-06, + "loss": 1.0239, + "step": 1251 + }, + { + "epoch": 0.52, + "learning_rate": 4.989994934531625e-06, + "loss": 0.9341, + "step": 1252 + }, + { + "epoch": 0.52, + "learning_rate": 4.983324910669184e-06, + "loss": 0.9004, + "step": 1253 + }, + { + "epoch": 0.52, + "learning_rate": 4.976654916481424e-06, + "loss": 1.0205, + "step": 1254 + }, + { + "epoch": 0.52, + "learning_rate": 4.9699849638381396e-06, + "loss": 0.8838, + "step": 1255 + }, + { + "epoch": 0.52, + "learning_rate": 4.963315064609055e-06, + "loss": 0.8862, + "step": 1256 + }, + { + "epoch": 0.52, + "learning_rate": 4.9566452306637995e-06, + "loss": 0.998, + "step": 1257 + }, + { + "epoch": 0.52, + "learning_rate": 4.9499754738718835e-06, + "loss": 0.9883, + "step": 1258 + }, + { + "epoch": 0.52, + "learning_rate": 4.9433058061026865e-06, + "loss": 0.9688, + "step": 1259 + }, + { + "epoch": 0.52, + "learning_rate": 4.93663623922542e-06, + "loss": 0.9507, + "step": 1260 + }, + { + "epoch": 0.52, + "learning_rate": 4.929966785109125e-06, + "loss": 0.8428, + "step": 1261 + }, + { + "epoch": 0.52, + "learning_rate": 4.923297455622637e-06, + "loss": 0.9282, + "step": 1262 + }, + { + "epoch": 0.52, + "learning_rate": 4.916628262634568e-06, + "loss": 0.9736, + "step": 1263 + }, + { + "epoch": 0.52, + "learning_rate": 4.909959218013295e-06, + "loss": 0.896, + "step": 1264 + }, + { + "epoch": 0.52, + "learning_rate": 4.903290333626922e-06, + "loss": 0.8882, + "step": 1265 + }, + { + "epoch": 0.52, + "learning_rate": 4.896621621343272e-06, + "loss": 1.0562, + "step": 1266 + }, + { + "epoch": 0.52, + "learning_rate": 4.889953093029862e-06, + "loss": 0.9858, + "step": 1267 + }, + { + "epoch": 0.52, + "learning_rate": 4.883284760553881e-06, + "loss": 0.9565, + "step": 1268 + }, + { + "epoch": 0.52, + "learning_rate": 4.87661663578217e-06, + "loss": 0.8613, + "step": 1269 + }, + { + "epoch": 0.52, + "learning_rate": 4.869948730581198e-06, + "loss": 0.8711, + "step": 1270 + }, + { + "epoch": 0.52, + "learning_rate": 4.863281056817047e-06, + "loss": 0.9878, + "step": 1271 + }, + { + "epoch": 0.52, + "learning_rate": 4.856613626355384e-06, + "loss": 1.0088, + "step": 1272 + }, + { + "epoch": 0.52, + "learning_rate": 4.849946451061444e-06, + "loss": 0.9971, + "step": 1273 + }, + { + "epoch": 0.52, + "learning_rate": 4.84327954280001e-06, + "loss": 0.8833, + "step": 1274 + }, + { + "epoch": 0.53, + "learning_rate": 4.836612913435385e-06, + "loss": 0.9409, + "step": 1275 + }, + { + "epoch": 0.53, + "learning_rate": 4.829946574831383e-06, + "loss": 0.9673, + "step": 1276 + }, + { + "epoch": 0.53, + "learning_rate": 4.823280538851291e-06, + "loss": 0.8535, + "step": 1277 + }, + { + "epoch": 0.53, + "learning_rate": 4.816614817357867e-06, + "loss": 0.9863, + "step": 1278 + }, + { + "epoch": 0.53, + "learning_rate": 4.809949422213303e-06, + "loss": 0.998, + "step": 1279 + }, + { + "epoch": 0.53, + "learning_rate": 4.80328436527921e-06, + "loss": 0.8687, + "step": 1280 + }, + { + "epoch": 0.53, + "learning_rate": 4.7966196584166054e-06, + "loss": 0.8994, + "step": 1281 + }, + { + "epoch": 0.53, + "learning_rate": 4.7899553134858715e-06, + "loss": 0.9214, + "step": 1282 + }, + { + "epoch": 0.53, + "learning_rate": 4.7832913423467555e-06, + "loss": 1.0093, + "step": 1283 + }, + { + "epoch": 0.53, + "learning_rate": 4.776627756858336e-06, + "loss": 0.9614, + "step": 1284 + }, + { + "epoch": 0.53, + "learning_rate": 4.769964568879006e-06, + "loss": 0.8047, + "step": 1285 + }, + { + "epoch": 0.53, + "learning_rate": 4.763301790266452e-06, + "loss": 0.9941, + "step": 1286 + }, + { + "epoch": 0.53, + "learning_rate": 4.756639432877627e-06, + "loss": 0.9849, + "step": 1287 + }, + { + "epoch": 0.53, + "learning_rate": 4.749977508568742e-06, + "loss": 0.9009, + "step": 1288 + }, + { + "epoch": 0.53, + "learning_rate": 4.743316029195234e-06, + "loss": 0.8096, + "step": 1289 + }, + { + "epoch": 0.53, + "learning_rate": 4.736655006611744e-06, + "loss": 0.9146, + "step": 1290 + }, + { + "epoch": 0.53, + "learning_rate": 4.729994452672108e-06, + "loss": 0.9692, + "step": 1291 + }, + { + "epoch": 0.53, + "learning_rate": 4.723334379229321e-06, + "loss": 0.9175, + "step": 1292 + }, + { + "epoch": 0.53, + "learning_rate": 4.7166747981355265e-06, + "loss": 1.0068, + "step": 1293 + }, + { + "epoch": 0.53, + "learning_rate": 4.710015721241993e-06, + "loss": 1.0068, + "step": 1294 + }, + { + "epoch": 0.53, + "learning_rate": 4.7033571603990865e-06, + "loss": 0.8809, + "step": 1295 + }, + { + "epoch": 0.53, + "learning_rate": 4.696699127456262e-06, + "loss": 0.814, + "step": 1296 + }, + { + "epoch": 0.53, + "learning_rate": 4.690041634262028e-06, + "loss": 0.9951, + "step": 1297 + }, + { + "epoch": 0.53, + "learning_rate": 4.683384692663937e-06, + "loss": 0.7754, + "step": 1298 + }, + { + "epoch": 0.54, + "learning_rate": 4.676728314508558e-06, + "loss": 0.9995, + "step": 1299 + }, + { + "epoch": 0.54, + "learning_rate": 4.670072511641458e-06, + "loss": 0.9795, + "step": 1300 + }, + { + "epoch": 0.54, + "learning_rate": 4.66341729590718e-06, + "loss": 0.8706, + "step": 1301 + }, + { + "epoch": 0.54, + "learning_rate": 4.656762679149222e-06, + "loss": 0.9839, + "step": 1302 + }, + { + "epoch": 0.54, + "learning_rate": 4.650108673210014e-06, + "loss": 0.833, + "step": 1303 + }, + { + "epoch": 0.54, + "learning_rate": 4.643455289930907e-06, + "loss": 0.9902, + "step": 1304 + }, + { + "epoch": 0.54, + "learning_rate": 4.636802541152132e-06, + "loss": 1.0093, + "step": 1305 + }, + { + "epoch": 0.54, + "learning_rate": 4.630150438712801e-06, + "loss": 0.9106, + "step": 1306 + }, + { + "epoch": 0.54, + "learning_rate": 4.623498994450869e-06, + "loss": 0.8076, + "step": 1307 + }, + { + "epoch": 0.54, + "learning_rate": 4.616848220203124e-06, + "loss": 0.9487, + "step": 1308 + }, + { + "epoch": 0.54, + "learning_rate": 4.610198127805161e-06, + "loss": 0.9438, + "step": 1309 + }, + { + "epoch": 0.54, + "learning_rate": 4.6035487290913585e-06, + "loss": 0.9731, + "step": 1310 + }, + { + "epoch": 0.54, + "learning_rate": 4.596900035894866e-06, + "loss": 0.8711, + "step": 1311 + }, + { + "epoch": 0.54, + "learning_rate": 4.5902520600475694e-06, + "loss": 0.916, + "step": 1312 + }, + { + "epoch": 0.54, + "learning_rate": 4.583604813380087e-06, + "loss": 0.8765, + "step": 1313 + }, + { + "epoch": 0.54, + "learning_rate": 4.576958307721735e-06, + "loss": 1.0103, + "step": 1314 + }, + { + "epoch": 0.54, + "learning_rate": 4.570312554900508e-06, + "loss": 0.9224, + "step": 1315 + }, + { + "epoch": 0.54, + "learning_rate": 4.563667566743069e-06, + "loss": 0.9033, + "step": 1316 + }, + { + "epoch": 0.54, + "learning_rate": 4.557023355074711e-06, + "loss": 0.8789, + "step": 1317 + }, + { + "epoch": 0.54, + "learning_rate": 4.550379931719351e-06, + "loss": 0.9648, + "step": 1318 + }, + { + "epoch": 0.54, + "learning_rate": 4.5437373084995026e-06, + "loss": 0.96, + "step": 1319 + }, + { + "epoch": 0.54, + "learning_rate": 4.537095497236254e-06, + "loss": 0.9419, + "step": 1320 + }, + { + "epoch": 0.54, + "learning_rate": 4.530454509749249e-06, + "loss": 0.9243, + "step": 1321 + }, + { + "epoch": 0.54, + "learning_rate": 4.523814357856664e-06, + "loss": 1.0322, + "step": 1322 + }, + { + "epoch": 0.54, + "learning_rate": 4.517175053375191e-06, + "loss": 0.9404, + "step": 1323 + }, + { + "epoch": 0.55, + "learning_rate": 4.5105366081200145e-06, + "loss": 0.9136, + "step": 1324 + }, + { + "epoch": 0.55, + "learning_rate": 4.503899033904785e-06, + "loss": 1.1489, + "step": 1325 + }, + { + "epoch": 0.55, + "learning_rate": 4.497262342541609e-06, + "loss": 0.9448, + "step": 1326 + }, + { + "epoch": 0.55, + "learning_rate": 4.4906265458410155e-06, + "loss": 1.0024, + "step": 1327 + }, + { + "epoch": 0.55, + "learning_rate": 4.483991655611949e-06, + "loss": 0.8301, + "step": 1328 + }, + { + "epoch": 0.55, + "learning_rate": 4.477357683661734e-06, + "loss": 0.9404, + "step": 1329 + }, + { + "epoch": 0.55, + "learning_rate": 4.470724641796064e-06, + "loss": 0.9619, + "step": 1330 + }, + { + "epoch": 0.55, + "learning_rate": 4.464092541818978e-06, + "loss": 0.9351, + "step": 1331 + }, + { + "epoch": 0.55, + "learning_rate": 4.457461395532835e-06, + "loss": 1.0112, + "step": 1332 + }, + { + "epoch": 0.55, + "learning_rate": 4.450831214738303e-06, + "loss": 0.8574, + "step": 1333 + }, + { + "epoch": 0.55, + "learning_rate": 4.444202011234328e-06, + "loss": 0.98, + "step": 1334 + }, + { + "epoch": 0.55, + "learning_rate": 4.437573796818115e-06, + "loss": 1.0547, + "step": 1335 + }, + { + "epoch": 0.55, + "learning_rate": 4.430946583285114e-06, + "loss": 0.9312, + "step": 1336 + }, + { + "epoch": 0.55, + "learning_rate": 4.424320382428988e-06, + "loss": 0.9448, + "step": 1337 + }, + { + "epoch": 0.55, + "learning_rate": 4.417695206041603e-06, + "loss": 0.9683, + "step": 1338 + }, + { + "epoch": 0.55, + "learning_rate": 4.411071065912998e-06, + "loss": 0.9932, + "step": 1339 + }, + { + "epoch": 0.55, + "learning_rate": 4.40444797383137e-06, + "loss": 0.8794, + "step": 1340 + }, + { + "epoch": 0.55, + "learning_rate": 4.397825941583053e-06, + "loss": 0.9233, + "step": 1341 + }, + { + "epoch": 0.55, + "learning_rate": 4.391204980952488e-06, + "loss": 0.9126, + "step": 1342 + }, + { + "epoch": 0.55, + "learning_rate": 4.384585103722216e-06, + "loss": 0.9673, + "step": 1343 + }, + { + "epoch": 0.55, + "learning_rate": 4.377966321672849e-06, + "loss": 0.9043, + "step": 1344 + }, + { + "epoch": 0.55, + "learning_rate": 4.371348646583044e-06, + "loss": 0.9561, + "step": 1345 + }, + { + "epoch": 0.55, + "learning_rate": 4.364732090229497e-06, + "loss": 0.9219, + "step": 1346 + }, + { + "epoch": 0.55, + "learning_rate": 4.358116664386905e-06, + "loss": 1.0513, + "step": 1347 + }, + { + "epoch": 0.56, + "learning_rate": 4.351502380827959e-06, + "loss": 0.9712, + "step": 1348 + }, + { + "epoch": 0.56, + "learning_rate": 4.344889251323316e-06, + "loss": 0.9688, + "step": 1349 + }, + { + "epoch": 0.56, + "learning_rate": 4.338277287641575e-06, + "loss": 0.9561, + "step": 1350 + }, + { + "epoch": 0.56, + "learning_rate": 4.331666501549266e-06, + "loss": 0.9375, + "step": 1351 + }, + { + "epoch": 0.56, + "learning_rate": 4.32505690481082e-06, + "loss": 1.0054, + "step": 1352 + }, + { + "epoch": 0.56, + "learning_rate": 4.318448509188552e-06, + "loss": 1.0366, + "step": 1353 + }, + { + "epoch": 0.56, + "learning_rate": 4.311841326442642e-06, + "loss": 0.9722, + "step": 1354 + }, + { + "epoch": 0.56, + "learning_rate": 4.305235368331106e-06, + "loss": 0.8335, + "step": 1355 + }, + { + "epoch": 0.56, + "learning_rate": 4.2986306466097886e-06, + "loss": 0.9185, + "step": 1356 + }, + { + "epoch": 0.56, + "learning_rate": 4.292027173032326e-06, + "loss": 0.8491, + "step": 1357 + }, + { + "epoch": 0.56, + "learning_rate": 4.285424959350139e-06, + "loss": 0.9546, + "step": 1358 + }, + { + "epoch": 0.56, + "learning_rate": 4.278824017312404e-06, + "loss": 0.8252, + "step": 1359 + }, + { + "epoch": 0.56, + "learning_rate": 4.272224358666034e-06, + "loss": 0.9312, + "step": 1360 + }, + { + "epoch": 0.56, + "learning_rate": 4.26562599515566e-06, + "loss": 0.9473, + "step": 1361 + }, + { + "epoch": 0.56, + "learning_rate": 4.259028938523605e-06, + "loss": 0.8965, + "step": 1362 + }, + { + "epoch": 0.56, + "learning_rate": 4.252433200509869e-06, + "loss": 0.9307, + "step": 1363 + }, + { + "epoch": 0.56, + "learning_rate": 4.245838792852107e-06, + "loss": 1.0278, + "step": 1364 + }, + { + "epoch": 0.56, + "learning_rate": 4.2392457272856e-06, + "loss": 1.0024, + "step": 1365 + }, + { + "epoch": 0.56, + "learning_rate": 4.2326540155432495e-06, + "loss": 1.1211, + "step": 1366 + }, + { + "epoch": 0.56, + "learning_rate": 4.226063669355539e-06, + "loss": 0.981, + "step": 1367 + }, + { + "epoch": 0.56, + "learning_rate": 4.2194747004505285e-06, + "loss": 0.9849, + "step": 1368 + }, + { + "epoch": 0.56, + "learning_rate": 4.212887120553824e-06, + "loss": 1.043, + "step": 1369 + }, + { + "epoch": 0.56, + "learning_rate": 4.20630094138856e-06, + "loss": 0.9678, + "step": 1370 + }, + { + "epoch": 0.56, + "learning_rate": 4.1997161746753786e-06, + "loss": 0.9302, + "step": 1371 + }, + { + "epoch": 0.57, + "learning_rate": 4.1931328321324076e-06, + "loss": 0.9771, + "step": 1372 + }, + { + "epoch": 0.57, + "learning_rate": 4.18655092547524e-06, + "loss": 0.9883, + "step": 1373 + }, + { + "epoch": 0.57, + "learning_rate": 4.179970466416918e-06, + "loss": 0.9458, + "step": 1374 + }, + { + "epoch": 0.57, + "learning_rate": 4.173391466667901e-06, + "loss": 0.9692, + "step": 1375 + }, + { + "epoch": 0.57, + "learning_rate": 4.166813937936054e-06, + "loss": 0.9795, + "step": 1376 + }, + { + "epoch": 0.57, + "learning_rate": 4.1602378919266285e-06, + "loss": 0.8994, + "step": 1377 + }, + { + "epoch": 0.57, + "learning_rate": 4.15366334034223e-06, + "loss": 0.9741, + "step": 1378 + }, + { + "epoch": 0.57, + "learning_rate": 4.147090294882812e-06, + "loss": 0.9438, + "step": 1379 + }, + { + "epoch": 0.57, + "learning_rate": 4.140518767245639e-06, + "loss": 0.9985, + "step": 1380 + }, + { + "epoch": 0.57, + "learning_rate": 4.1339487691252835e-06, + "loss": 0.8735, + "step": 1381 + }, + { + "epoch": 0.57, + "learning_rate": 4.127380312213591e-06, + "loss": 0.8979, + "step": 1382 + }, + { + "epoch": 0.57, + "learning_rate": 4.1208134081996625e-06, + "loss": 0.9917, + "step": 1383 + }, + { + "epoch": 0.57, + "learning_rate": 4.114248068769843e-06, + "loss": 0.9209, + "step": 1384 + }, + { + "epoch": 0.57, + "learning_rate": 4.107684305607684e-06, + "loss": 0.8955, + "step": 1385 + }, + { + "epoch": 0.57, + "learning_rate": 4.101122130393938e-06, + "loss": 0.9692, + "step": 1386 + }, + { + "epoch": 0.57, + "learning_rate": 4.094561554806532e-06, + "loss": 1.0415, + "step": 1387 + }, + { + "epoch": 0.57, + "learning_rate": 4.0880025905205415e-06, + "loss": 0.8516, + "step": 1388 + }, + { + "epoch": 0.57, + "learning_rate": 4.081445249208178e-06, + "loss": 0.9702, + "step": 1389 + }, + { + "epoch": 0.57, + "learning_rate": 4.074889542538765e-06, + "loss": 0.9341, + "step": 1390 + }, + { + "epoch": 0.57, + "learning_rate": 4.068335482178715e-06, + "loss": 0.8643, + "step": 1391 + }, + { + "epoch": 0.57, + "learning_rate": 4.061783079791513e-06, + "loss": 0.9282, + "step": 1392 + }, + { + "epoch": 0.57, + "learning_rate": 4.0552323470376916e-06, + "loss": 0.9683, + "step": 1393 + }, + { + "epoch": 0.57, + "learning_rate": 4.048683295574814e-06, + "loss": 0.9897, + "step": 1394 + }, + { + "epoch": 0.57, + "learning_rate": 4.04213593705745e-06, + "loss": 1.0381, + "step": 1395 + }, + { + "epoch": 0.57, + "learning_rate": 4.035590283137155e-06, + "loss": 0.874, + "step": 1396 + }, + { + "epoch": 0.58, + "learning_rate": 4.029046345462458e-06, + "loss": 0.9199, + "step": 1397 + }, + { + "epoch": 0.58, + "learning_rate": 4.022504135678822e-06, + "loss": 0.8325, + "step": 1398 + }, + { + "epoch": 0.58, + "learning_rate": 4.015963665428647e-06, + "loss": 0.8828, + "step": 1399 + }, + { + "epoch": 0.58, + "learning_rate": 4.0094249463512304e-06, + "loss": 0.9341, + "step": 1400 + }, + { + "epoch": 0.58, + "learning_rate": 4.002887990082754e-06, + "loss": 0.9512, + "step": 1401 + }, + { + "epoch": 0.58, + "learning_rate": 3.996352808256267e-06, + "loss": 0.8564, + "step": 1402 + }, + { + "epoch": 0.58, + "learning_rate": 3.989819412501654e-06, + "loss": 0.938, + "step": 1403 + }, + { + "epoch": 0.58, + "learning_rate": 3.983287814445626e-06, + "loss": 0.9019, + "step": 1404 + }, + { + "epoch": 0.58, + "learning_rate": 3.976758025711693e-06, + "loss": 0.9707, + "step": 1405 + }, + { + "epoch": 0.58, + "learning_rate": 3.970230057920145e-06, + "loss": 0.8662, + "step": 1406 + }, + { + "epoch": 0.58, + "learning_rate": 3.963703922688035e-06, + "loss": 0.9165, + "step": 1407 + }, + { + "epoch": 0.58, + "learning_rate": 3.957179631629148e-06, + "loss": 0.8955, + "step": 1408 + }, + { + "epoch": 0.58, + "learning_rate": 3.950657196353994e-06, + "loss": 0.9707, + "step": 1409 + }, + { + "epoch": 0.58, + "learning_rate": 3.944136628469775e-06, + "loss": 0.8926, + "step": 1410 + }, + { + "epoch": 0.58, + "learning_rate": 3.937617939580374e-06, + "loss": 1.1045, + "step": 1411 + }, + { + "epoch": 0.58, + "learning_rate": 3.931101141286328e-06, + "loss": 0.8252, + "step": 1412 + }, + { + "epoch": 0.58, + "learning_rate": 3.9245862451848095e-06, + "loss": 0.9966, + "step": 1413 + }, + { + "epoch": 0.58, + "learning_rate": 3.9180732628696085e-06, + "loss": 0.9341, + "step": 1414 + }, + { + "epoch": 0.58, + "learning_rate": 3.911562205931105e-06, + "loss": 0.897, + "step": 1415 + }, + { + "epoch": 0.58, + "learning_rate": 3.905053085956255e-06, + "loss": 0.8965, + "step": 1416 + }, + { + "epoch": 0.58, + "learning_rate": 3.898545914528569e-06, + "loss": 1.0142, + "step": 1417 + }, + { + "epoch": 0.58, + "learning_rate": 3.892040703228087e-06, + "loss": 1.0581, + "step": 1418 + }, + { + "epoch": 0.58, + "learning_rate": 3.885537463631362e-06, + "loss": 1.0103, + "step": 1419 + }, + { + "epoch": 0.58, + "learning_rate": 3.879036207311438e-06, + "loss": 1.083, + "step": 1420 + }, + { + "epoch": 0.59, + "learning_rate": 3.87253694583783e-06, + "loss": 1.0293, + "step": 1421 + }, + { + "epoch": 0.59, + "learning_rate": 3.8660396907765044e-06, + "loss": 0.999, + "step": 1422 + }, + { + "epoch": 0.59, + "learning_rate": 3.859544453689853e-06, + "loss": 0.8413, + "step": 1423 + }, + { + "epoch": 0.59, + "learning_rate": 3.853051246136681e-06, + "loss": 0.8799, + "step": 1424 + }, + { + "epoch": 0.59, + "learning_rate": 3.846560079672178e-06, + "loss": 1.0015, + "step": 1425 + }, + { + "epoch": 0.59, + "learning_rate": 3.840070965847904e-06, + "loss": 0.9922, + "step": 1426 + }, + { + "epoch": 0.59, + "learning_rate": 3.833583916211766e-06, + "loss": 0.8535, + "step": 1427 + }, + { + "epoch": 0.59, + "learning_rate": 3.8270989423079955e-06, + "loss": 0.9741, + "step": 1428 + }, + { + "epoch": 0.59, + "learning_rate": 3.820616055677132e-06, + "loss": 0.9292, + "step": 1429 + }, + { + "epoch": 0.59, + "learning_rate": 3.8141352678560007e-06, + "loss": 0.9756, + "step": 1430 + }, + { + "epoch": 0.59, + "learning_rate": 3.807656590377689e-06, + "loss": 0.9038, + "step": 1431 + }, + { + "epoch": 0.59, + "learning_rate": 3.801180034771534e-06, + "loss": 1.0635, + "step": 1432 + }, + { + "epoch": 0.59, + "learning_rate": 3.7947056125630904e-06, + "loss": 1.0117, + "step": 1433 + }, + { + "epoch": 0.59, + "learning_rate": 3.7882333352741218e-06, + "loss": 0.9951, + "step": 1434 + }, + { + "epoch": 0.59, + "learning_rate": 3.7817632144225713e-06, + "loss": 1.0391, + "step": 1435 + }, + { + "epoch": 0.59, + "learning_rate": 3.775295261522546e-06, + "loss": 0.9355, + "step": 1436 + }, + { + "epoch": 0.59, + "learning_rate": 3.7688294880842947e-06, + "loss": 0.8564, + "step": 1437 + }, + { + "epoch": 0.59, + "learning_rate": 3.762365905614187e-06, + "loss": 0.8398, + "step": 1438 + }, + { + "epoch": 0.59, + "learning_rate": 3.7559045256146953e-06, + "loss": 0.9761, + "step": 1439 + }, + { + "epoch": 0.59, + "learning_rate": 3.7494453595843692e-06, + "loss": 0.9785, + "step": 1440 + }, + { + "epoch": 0.59, + "learning_rate": 3.7429884190178224e-06, + "loss": 0.9771, + "step": 1441 + }, + { + "epoch": 0.59, + "learning_rate": 3.7365337154057056e-06, + "loss": 0.9834, + "step": 1442 + }, + { + "epoch": 0.59, + "learning_rate": 3.7300812602346894e-06, + "loss": 0.8616, + "step": 1443 + }, + { + "epoch": 0.59, + "learning_rate": 3.723631064987443e-06, + "loss": 0.9146, + "step": 1444 + }, + { + "epoch": 0.6, + "learning_rate": 3.7171831411426123e-06, + "loss": 1.0508, + "step": 1445 + }, + { + "epoch": 0.6, + "learning_rate": 3.7107375001748047e-06, + "loss": 0.9092, + "step": 1446 + }, + { + "epoch": 0.6, + "learning_rate": 3.7042941535545628e-06, + "loss": 0.8604, + "step": 1447 + }, + { + "epoch": 0.6, + "learning_rate": 3.697853112748345e-06, + "loss": 0.9077, + "step": 1448 + }, + { + "epoch": 0.6, + "learning_rate": 3.6914143892185107e-06, + "loss": 1.0425, + "step": 1449 + }, + { + "epoch": 0.6, + "learning_rate": 3.6849779944232885e-06, + "loss": 0.8525, + "step": 1450 + }, + { + "epoch": 0.6, + "learning_rate": 3.6785439398167687e-06, + "loss": 0.8833, + "step": 1451 + }, + { + "epoch": 0.6, + "learning_rate": 3.6721122368488772e-06, + "loss": 0.9204, + "step": 1452 + }, + { + "epoch": 0.6, + "learning_rate": 3.665682896965349e-06, + "loss": 0.9717, + "step": 1453 + }, + { + "epoch": 0.6, + "learning_rate": 3.6592559316077213e-06, + "loss": 0.9658, + "step": 1454 + }, + { + "epoch": 0.6, + "learning_rate": 3.6528313522133e-06, + "loss": 1.0928, + "step": 1455 + }, + { + "epoch": 0.6, + "learning_rate": 3.6464091702151484e-06, + "loss": 1.1494, + "step": 1456 + }, + { + "epoch": 0.6, + "learning_rate": 3.6399893970420614e-06, + "loss": 0.9771, + "step": 1457 + }, + { + "epoch": 0.6, + "learning_rate": 3.6335720441185474e-06, + "loss": 0.8755, + "step": 1458 + }, + { + "epoch": 0.6, + "learning_rate": 3.6271571228648108e-06, + "loss": 0.981, + "step": 1459 + }, + { + "epoch": 0.6, + "learning_rate": 3.620744644696722e-06, + "loss": 0.8779, + "step": 1460 + }, + { + "epoch": 0.6, + "learning_rate": 3.614334621025811e-06, + "loss": 0.9258, + "step": 1461 + }, + { + "epoch": 0.6, + "learning_rate": 3.607927063259237e-06, + "loss": 0.9678, + "step": 1462 + }, + { + "epoch": 0.6, + "learning_rate": 3.601521982799768e-06, + "loss": 0.9326, + "step": 1463 + }, + { + "epoch": 0.6, + "learning_rate": 3.5951193910457692e-06, + "loss": 0.9561, + "step": 1464 + }, + { + "epoch": 0.6, + "learning_rate": 3.588719299391171e-06, + "loss": 0.9326, + "step": 1465 + }, + { + "epoch": 0.6, + "learning_rate": 3.582321719225459e-06, + "loss": 0.8623, + "step": 1466 + }, + { + "epoch": 0.6, + "learning_rate": 3.575926661933648e-06, + "loss": 0.9175, + "step": 1467 + }, + { + "epoch": 0.6, + "learning_rate": 3.569534138896262e-06, + "loss": 0.8989, + "step": 1468 + }, + { + "epoch": 0.61, + "learning_rate": 3.5631441614893168e-06, + "loss": 0.8506, + "step": 1469 + }, + { + "epoch": 0.61, + "learning_rate": 3.5567567410842972e-06, + "loss": 0.9204, + "step": 1470 + }, + { + "epoch": 0.61, + "learning_rate": 3.5503718890481376e-06, + "loss": 0.8076, + "step": 1471 + }, + { + "epoch": 0.61, + "learning_rate": 3.543989616743203e-06, + "loss": 0.8735, + "step": 1472 + }, + { + "epoch": 0.61, + "learning_rate": 3.537609935527264e-06, + "loss": 1.0063, + "step": 1473 + }, + { + "epoch": 0.61, + "learning_rate": 3.531232856753486e-06, + "loss": 0.8765, + "step": 1474 + }, + { + "epoch": 0.61, + "learning_rate": 3.5248583917703966e-06, + "loss": 0.9521, + "step": 1475 + }, + { + "epoch": 0.61, + "learning_rate": 3.5184865519218762e-06, + "loss": 0.9121, + "step": 1476 + }, + { + "epoch": 0.61, + "learning_rate": 3.512117348547134e-06, + "loss": 0.8311, + "step": 1477 + }, + { + "epoch": 0.61, + "learning_rate": 3.5057507929806843e-06, + "loss": 0.9263, + "step": 1478 + }, + { + "epoch": 0.61, + "learning_rate": 3.4993868965523314e-06, + "loss": 1.0088, + "step": 1479 + }, + { + "epoch": 0.61, + "learning_rate": 3.4930256705871467e-06, + "loss": 0.9663, + "step": 1480 + }, + { + "epoch": 0.61, + "learning_rate": 3.4866671264054497e-06, + "loss": 0.877, + "step": 1481 + }, + { + "epoch": 0.61, + "learning_rate": 3.480311275322788e-06, + "loss": 0.8896, + "step": 1482 + }, + { + "epoch": 0.61, + "learning_rate": 3.4739581286499147e-06, + "loss": 0.8906, + "step": 1483 + }, + { + "epoch": 0.61, + "learning_rate": 3.467607697692773e-06, + "loss": 0.9839, + "step": 1484 + }, + { + "epoch": 0.61, + "learning_rate": 3.4612599937524704e-06, + "loss": 0.9385, + "step": 1485 + }, + { + "epoch": 0.61, + "learning_rate": 3.4549150281252635e-06, + "loss": 0.9517, + "step": 1486 + }, + { + "epoch": 0.61, + "learning_rate": 3.448572812102536e-06, + "loss": 0.9404, + "step": 1487 + }, + { + "epoch": 0.61, + "learning_rate": 3.442233356970775e-06, + "loss": 0.8484, + "step": 1488 + }, + { + "epoch": 0.61, + "learning_rate": 3.4358966740115595e-06, + "loss": 0.853, + "step": 1489 + }, + { + "epoch": 0.61, + "learning_rate": 3.4295627745015308e-06, + "loss": 0.8501, + "step": 1490 + }, + { + "epoch": 0.61, + "learning_rate": 3.423231669712379e-06, + "loss": 0.9443, + "step": 1491 + }, + { + "epoch": 0.61, + "learning_rate": 3.416903370910822e-06, + "loss": 0.9219, + "step": 1492 + }, + { + "epoch": 0.61, + "learning_rate": 3.410577889358582e-06, + "loss": 0.9312, + "step": 1493 + }, + { + "epoch": 0.62, + "learning_rate": 3.404255236312367e-06, + "loss": 0.9756, + "step": 1494 + }, + { + "epoch": 0.62, + "learning_rate": 3.3979354230238537e-06, + "loss": 0.8506, + "step": 1495 + }, + { + "epoch": 0.62, + "learning_rate": 3.3916184607396634e-06, + "loss": 0.9478, + "step": 1496 + }, + { + "epoch": 0.62, + "learning_rate": 3.385304360701347e-06, + "loss": 0.9463, + "step": 1497 + }, + { + "epoch": 0.62, + "learning_rate": 3.3789931341453564e-06, + "loss": 0.8271, + "step": 1498 + }, + { + "epoch": 0.62, + "learning_rate": 3.372684792303035e-06, + "loss": 0.9194, + "step": 1499 + }, + { + "epoch": 0.62, + "learning_rate": 3.366379346400592e-06, + "loss": 0.9434, + "step": 1500 + }, + { + "epoch": 0.62, + "learning_rate": 3.3600768076590772e-06, + "loss": 1.0405, + "step": 1501 + }, + { + "epoch": 0.62, + "learning_rate": 3.353777187294376e-06, + "loss": 0.9468, + "step": 1502 + }, + { + "epoch": 0.62, + "learning_rate": 3.3474804965171726e-06, + "loss": 0.8691, + "step": 1503 + }, + { + "epoch": 0.62, + "learning_rate": 3.3411867465329416e-06, + "loss": 0.9536, + "step": 1504 + }, + { + "epoch": 0.62, + "learning_rate": 3.3348959485419242e-06, + "loss": 0.9619, + "step": 1505 + }, + { + "epoch": 0.62, + "learning_rate": 3.328608113739107e-06, + "loss": 1.0234, + "step": 1506 + }, + { + "epoch": 0.62, + "learning_rate": 3.3223232533142034e-06, + "loss": 0.9824, + "step": 1507 + }, + { + "epoch": 0.62, + "learning_rate": 3.3160413784516342e-06, + "loss": 0.9302, + "step": 1508 + }, + { + "epoch": 0.62, + "learning_rate": 3.309762500330507e-06, + "loss": 0.9194, + "step": 1509 + }, + { + "epoch": 0.62, + "learning_rate": 3.3034866301245983e-06, + "loss": 1.0474, + "step": 1510 + }, + { + "epoch": 0.62, + "learning_rate": 3.2972137790023273e-06, + "loss": 0.8228, + "step": 1511 + }, + { + "epoch": 0.62, + "learning_rate": 3.2909439581267455e-06, + "loss": 0.9165, + "step": 1512 + }, + { + "epoch": 0.62, + "learning_rate": 3.2846771786555075e-06, + "loss": 1.0532, + "step": 1513 + }, + { + "epoch": 0.62, + "learning_rate": 3.2784134517408582e-06, + "loss": 0.9458, + "step": 1514 + }, + { + "epoch": 0.62, + "learning_rate": 3.272152788529611e-06, + "loss": 0.7786, + "step": 1515 + }, + { + "epoch": 0.62, + "learning_rate": 3.265895200163123e-06, + "loss": 0.9512, + "step": 1516 + }, + { + "epoch": 0.62, + "learning_rate": 3.2596406977772855e-06, + "loss": 0.9448, + "step": 1517 + }, + { + "epoch": 0.63, + "learning_rate": 3.253389292502491e-06, + "loss": 0.9829, + "step": 1518 + }, + { + "epoch": 0.63, + "learning_rate": 3.2471409954636256e-06, + "loss": 0.9819, + "step": 1519 + }, + { + "epoch": 0.63, + "learning_rate": 3.2408958177800442e-06, + "loss": 0.8965, + "step": 1520 + }, + { + "epoch": 0.63, + "learning_rate": 3.2346537705655456e-06, + "loss": 0.8853, + "step": 1521 + }, + { + "epoch": 0.63, + "learning_rate": 3.228414864928364e-06, + "loss": 0.9624, + "step": 1522 + }, + { + "epoch": 0.63, + "learning_rate": 3.2221791119711372e-06, + "loss": 0.9253, + "step": 1523 + }, + { + "epoch": 0.63, + "learning_rate": 3.2159465227908967e-06, + "loss": 0.8247, + "step": 1524 + }, + { + "epoch": 0.63, + "learning_rate": 3.209717108479042e-06, + "loss": 1.0083, + "step": 1525 + }, + { + "epoch": 0.63, + "learning_rate": 3.2034908801213225e-06, + "loss": 0.9102, + "step": 1526 + }, + { + "epoch": 0.63, + "learning_rate": 3.1972678487978205e-06, + "loss": 0.958, + "step": 1527 + }, + { + "epoch": 0.63, + "learning_rate": 3.1910480255829235e-06, + "loss": 0.9453, + "step": 1528 + }, + { + "epoch": 0.63, + "learning_rate": 3.1848314215453147e-06, + "loss": 0.9023, + "step": 1529 + }, + { + "epoch": 0.63, + "learning_rate": 3.178618047747948e-06, + "loss": 0.8701, + "step": 1530 + }, + { + "epoch": 0.63, + "learning_rate": 3.172407915248027e-06, + "loss": 0.8521, + "step": 1531 + }, + { + "epoch": 0.63, + "learning_rate": 3.166201035096988e-06, + "loss": 0.8638, + "step": 1532 + }, + { + "epoch": 0.63, + "learning_rate": 3.1599974183404784e-06, + "loss": 0.8667, + "step": 1533 + }, + { + "epoch": 0.63, + "learning_rate": 3.1537970760183406e-06, + "loss": 0.833, + "step": 1534 + }, + { + "epoch": 0.63, + "learning_rate": 3.1476000191645894e-06, + "loss": 1.0366, + "step": 1535 + }, + { + "epoch": 0.63, + "learning_rate": 3.141406258807389e-06, + "loss": 0.9263, + "step": 1536 + }, + { + "epoch": 0.63, + "learning_rate": 3.135215805969043e-06, + "loss": 1.0, + "step": 1537 + }, + { + "epoch": 0.63, + "learning_rate": 3.1290286716659635e-06, + "loss": 0.9932, + "step": 1538 + }, + { + "epoch": 0.63, + "learning_rate": 3.122844866908662e-06, + "loss": 0.8989, + "step": 1539 + }, + { + "epoch": 0.63, + "learning_rate": 3.116664402701721e-06, + "loss": 0.9341, + "step": 1540 + }, + { + "epoch": 0.63, + "learning_rate": 3.1104872900437806e-06, + "loss": 0.9561, + "step": 1541 + }, + { + "epoch": 0.64, + "learning_rate": 3.1043135399275152e-06, + "loss": 1.1265, + "step": 1542 + }, + { + "epoch": 0.64, + "learning_rate": 3.0981431633396153e-06, + "loss": 1.0137, + "step": 1543 + }, + { + "epoch": 0.64, + "learning_rate": 3.091976171260768e-06, + "loss": 0.9653, + "step": 1544 + }, + { + "epoch": 0.64, + "learning_rate": 3.0858125746656394e-06, + "loss": 0.9375, + "step": 1545 + }, + { + "epoch": 0.64, + "learning_rate": 3.079652384522849e-06, + "loss": 0.9922, + "step": 1546 + }, + { + "epoch": 0.64, + "learning_rate": 3.073495611794959e-06, + "loss": 0.9438, + "step": 1547 + }, + { + "epoch": 0.64, + "learning_rate": 3.067342267438446e-06, + "loss": 1.02, + "step": 1548 + }, + { + "epoch": 0.64, + "learning_rate": 3.061192362403687e-06, + "loss": 0.9136, + "step": 1549 + }, + { + "epoch": 0.64, + "learning_rate": 3.0550459076349403e-06, + "loss": 1.0151, + "step": 1550 + }, + { + "epoch": 0.64, + "learning_rate": 3.0489029140703206e-06, + "loss": 0.8926, + "step": 1551 + }, + { + "epoch": 0.64, + "learning_rate": 3.0427633926417876e-06, + "loss": 0.8784, + "step": 1552 + }, + { + "epoch": 0.64, + "learning_rate": 3.0366273542751157e-06, + "loss": 0.8584, + "step": 1553 + }, + { + "epoch": 0.64, + "learning_rate": 3.0304948098898866e-06, + "loss": 0.8477, + "step": 1554 + }, + { + "epoch": 0.64, + "learning_rate": 3.024365770399464e-06, + "loss": 0.8857, + "step": 1555 + }, + { + "epoch": 0.64, + "learning_rate": 3.0182402467109696e-06, + "loss": 0.9561, + "step": 1556 + }, + { + "epoch": 0.64, + "learning_rate": 3.012118249725273e-06, + "loss": 0.9927, + "step": 1557 + }, + { + "epoch": 0.64, + "learning_rate": 3.0059997903369658e-06, + "loss": 0.9482, + "step": 1558 + }, + { + "epoch": 0.64, + "learning_rate": 2.999884879434344e-06, + "loss": 0.8506, + "step": 1559 + }, + { + "epoch": 0.64, + "learning_rate": 2.9937735278993913e-06, + "loss": 0.895, + "step": 1560 + }, + { + "epoch": 0.64, + "learning_rate": 2.9876657466077523e-06, + "loss": 1.1304, + "step": 1561 + }, + { + "epoch": 0.64, + "learning_rate": 2.981561546428724e-06, + "loss": 0.9751, + "step": 1562 + }, + { + "epoch": 0.64, + "learning_rate": 2.975460938225225e-06, + "loss": 0.9502, + "step": 1563 + }, + { + "epoch": 0.64, + "learning_rate": 2.969363932853785e-06, + "loss": 0.9185, + "step": 1564 + }, + { + "epoch": 0.64, + "learning_rate": 2.9632705411645224e-06, + "loss": 1.0317, + "step": 1565 + }, + { + "epoch": 0.64, + "learning_rate": 2.9571807740011216e-06, + "loss": 0.9785, + "step": 1566 + }, + { + "epoch": 0.65, + "learning_rate": 2.951094642200821e-06, + "loss": 0.8882, + "step": 1567 + }, + { + "epoch": 0.65, + "learning_rate": 2.945012156594387e-06, + "loss": 0.8457, + "step": 1568 + }, + { + "epoch": 0.65, + "learning_rate": 2.938933328006097e-06, + "loss": 0.9004, + "step": 1569 + }, + { + "epoch": 0.65, + "learning_rate": 2.9328581672537227e-06, + "loss": 1.002, + "step": 1570 + }, + { + "epoch": 0.65, + "learning_rate": 2.926786685148506e-06, + "loss": 0.9004, + "step": 1571 + }, + { + "epoch": 0.65, + "learning_rate": 2.9207188924951447e-06, + "loss": 0.938, + "step": 1572 + }, + { + "epoch": 0.65, + "learning_rate": 2.914654800091768e-06, + "loss": 0.9541, + "step": 1573 + }, + { + "epoch": 0.65, + "learning_rate": 2.908594418729924e-06, + "loss": 0.9937, + "step": 1574 + }, + { + "epoch": 0.65, + "learning_rate": 2.902537759194551e-06, + "loss": 0.9141, + "step": 1575 + }, + { + "epoch": 0.65, + "learning_rate": 2.896484832263973e-06, + "loss": 1.0005, + "step": 1576 + }, + { + "epoch": 0.65, + "learning_rate": 2.890435648709863e-06, + "loss": 0.9746, + "step": 1577 + }, + { + "epoch": 0.65, + "learning_rate": 2.8843902192972345e-06, + "loss": 0.9639, + "step": 1578 + }, + { + "epoch": 0.65, + "learning_rate": 2.8783485547844247e-06, + "loss": 0.9873, + "step": 1579 + }, + { + "epoch": 0.65, + "learning_rate": 2.872310665923065e-06, + "loss": 0.9712, + "step": 1580 + }, + { + "epoch": 0.65, + "learning_rate": 2.866276563458071e-06, + "loss": 0.9517, + "step": 1581 + }, + { + "epoch": 0.65, + "learning_rate": 2.8602462581276166e-06, + "loss": 0.8555, + "step": 1582 + }, + { + "epoch": 0.65, + "learning_rate": 2.854219760663125e-06, + "loss": 0.9961, + "step": 1583 + }, + { + "epoch": 0.65, + "learning_rate": 2.848197081789237e-06, + "loss": 0.7983, + "step": 1584 + }, + { + "epoch": 0.65, + "learning_rate": 2.8421782322237983e-06, + "loss": 0.9492, + "step": 1585 + }, + { + "epoch": 0.65, + "learning_rate": 2.8361632226778456e-06, + "loss": 0.9902, + "step": 1586 + }, + { + "epoch": 0.65, + "learning_rate": 2.8301520638555756e-06, + "loss": 0.96, + "step": 1587 + }, + { + "epoch": 0.65, + "learning_rate": 2.824144766454333e-06, + "loss": 0.9175, + "step": 1588 + }, + { + "epoch": 0.65, + "learning_rate": 2.8181413411645964e-06, + "loss": 0.8877, + "step": 1589 + }, + { + "epoch": 0.65, + "learning_rate": 2.812141798669948e-06, + "loss": 0.8887, + "step": 1590 + }, + { + "epoch": 0.66, + "learning_rate": 2.806146149647062e-06, + "loss": 0.9561, + "step": 1591 + }, + { + "epoch": 0.66, + "learning_rate": 2.8001544047656814e-06, + "loss": 0.894, + "step": 1592 + }, + { + "epoch": 0.66, + "learning_rate": 2.794166574688609e-06, + "loss": 0.9434, + "step": 1593 + }, + { + "epoch": 0.66, + "learning_rate": 2.7881826700716724e-06, + "loss": 0.8623, + "step": 1594 + }, + { + "epoch": 0.66, + "learning_rate": 2.7822027015637167e-06, + "loss": 1.0688, + "step": 1595 + }, + { + "epoch": 0.66, + "learning_rate": 2.776226679806585e-06, + "loss": 1.0425, + "step": 1596 + }, + { + "epoch": 0.66, + "learning_rate": 2.770254615435093e-06, + "loss": 0.9307, + "step": 1597 + }, + { + "epoch": 0.66, + "learning_rate": 2.764286519077014e-06, + "loss": 0.9258, + "step": 1598 + }, + { + "epoch": 0.66, + "learning_rate": 2.7583224013530643e-06, + "loss": 0.9829, + "step": 1599 + }, + { + "epoch": 0.66, + "learning_rate": 2.7523622728768757e-06, + "loss": 0.9829, + "step": 1600 + }, + { + "epoch": 0.66, + "learning_rate": 2.746406144254982e-06, + "loss": 0.98, + "step": 1601 + }, + { + "epoch": 0.66, + "learning_rate": 2.7404540260867956e-06, + "loss": 0.8223, + "step": 1602 + }, + { + "epoch": 0.66, + "learning_rate": 2.734505928964601e-06, + "loss": 0.8965, + "step": 1603 + }, + { + "epoch": 0.66, + "learning_rate": 2.728561863473518e-06, + "loss": 1.0586, + "step": 1604 + }, + { + "epoch": 0.66, + "learning_rate": 2.722621840191494e-06, + "loss": 0.9795, + "step": 1605 + }, + { + "epoch": 0.66, + "learning_rate": 2.7166858696892867e-06, + "loss": 0.9229, + "step": 1606 + }, + { + "epoch": 0.66, + "learning_rate": 2.710753962530438e-06, + "loss": 0.917, + "step": 1607 + }, + { + "epoch": 0.66, + "learning_rate": 2.704826129271257e-06, + "loss": 0.7964, + "step": 1608 + }, + { + "epoch": 0.66, + "learning_rate": 2.6989023804608095e-06, + "loss": 0.8989, + "step": 1609 + }, + { + "epoch": 0.66, + "learning_rate": 2.692982726640887e-06, + "loss": 0.9937, + "step": 1610 + }, + { + "epoch": 0.66, + "learning_rate": 2.6870671783459946e-06, + "loss": 0.8628, + "step": 1611 + }, + { + "epoch": 0.66, + "learning_rate": 2.6811557461033313e-06, + "loss": 0.9189, + "step": 1612 + }, + { + "epoch": 0.66, + "learning_rate": 2.675248440432774e-06, + "loss": 0.9106, + "step": 1613 + }, + { + "epoch": 0.66, + "learning_rate": 2.669345271846854e-06, + "loss": 0.9595, + "step": 1614 + }, + { + "epoch": 0.67, + "learning_rate": 2.6634462508507375e-06, + "loss": 0.8384, + "step": 1615 + }, + { + "epoch": 0.67, + "learning_rate": 2.6575513879422167e-06, + "loss": 0.8555, + "step": 1616 + }, + { + "epoch": 0.67, + "learning_rate": 2.651660693611677e-06, + "loss": 0.9341, + "step": 1617 + }, + { + "epoch": 0.67, + "learning_rate": 2.6457741783420885e-06, + "loss": 0.9326, + "step": 1618 + }, + { + "epoch": 0.67, + "learning_rate": 2.6398918526089866e-06, + "loss": 0.9084, + "step": 1619 + }, + { + "epoch": 0.67, + "learning_rate": 2.6340137268804473e-06, + "loss": 0.9634, + "step": 1620 + }, + { + "epoch": 0.67, + "learning_rate": 2.6281398116170736e-06, + "loss": 0.9463, + "step": 1621 + }, + { + "epoch": 0.67, + "learning_rate": 2.6222701172719744e-06, + "loss": 0.9062, + "step": 1622 + }, + { + "epoch": 0.67, + "learning_rate": 2.616404654290752e-06, + "loss": 0.9922, + "step": 1623 + }, + { + "epoch": 0.67, + "learning_rate": 2.610543433111473e-06, + "loss": 0.9131, + "step": 1624 + }, + { + "epoch": 0.67, + "learning_rate": 2.6046864641646575e-06, + "loss": 0.8838, + "step": 1625 + }, + { + "epoch": 0.67, + "learning_rate": 2.598833757873259e-06, + "loss": 1.0098, + "step": 1626 + }, + { + "epoch": 0.67, + "learning_rate": 2.5929853246526466e-06, + "loss": 0.8726, + "step": 1627 + }, + { + "epoch": 0.67, + "learning_rate": 2.587141174910579e-06, + "loss": 0.9092, + "step": 1628 + }, + { + "epoch": 0.67, + "learning_rate": 2.5813013190472005e-06, + "loss": 1.0029, + "step": 1629 + }, + { + "epoch": 0.67, + "learning_rate": 2.575465767455009e-06, + "loss": 0.9829, + "step": 1630 + }, + { + "epoch": 0.67, + "learning_rate": 2.569634530518842e-06, + "loss": 0.9775, + "step": 1631 + }, + { + "epoch": 0.67, + "learning_rate": 2.56380761861586e-06, + "loss": 0.9868, + "step": 1632 + }, + { + "epoch": 0.67, + "learning_rate": 2.5579850421155294e-06, + "loss": 1.0166, + "step": 1633 + }, + { + "epoch": 0.67, + "learning_rate": 2.552166811379599e-06, + "loss": 0.8208, + "step": 1634 + }, + { + "epoch": 0.67, + "learning_rate": 2.54635293676208e-06, + "loss": 0.8784, + "step": 1635 + }, + { + "epoch": 0.67, + "learning_rate": 2.540543428609241e-06, + "loss": 0.897, + "step": 1636 + }, + { + "epoch": 0.67, + "learning_rate": 2.5347382972595724e-06, + "loss": 0.938, + "step": 1637 + }, + { + "epoch": 0.67, + "learning_rate": 2.528937553043775e-06, + "loss": 0.8921, + "step": 1638 + }, + { + "epoch": 0.68, + "learning_rate": 2.5231412062847502e-06, + "loss": 0.9634, + "step": 1639 + }, + { + "epoch": 0.68, + "learning_rate": 2.517349267297567e-06, + "loss": 0.8296, + "step": 1640 + }, + { + "epoch": 0.68, + "learning_rate": 2.5115617463894515e-06, + "loss": 0.8584, + "step": 1641 + }, + { + "epoch": 0.68, + "learning_rate": 2.5057786538597674e-06, + "loss": 0.895, + "step": 1642 + }, + { + "epoch": 0.68, + "learning_rate": 2.5000000000000015e-06, + "loss": 0.9048, + "step": 1643 + }, + { + "epoch": 0.68, + "learning_rate": 2.494225795093737e-06, + "loss": 0.8467, + "step": 1644 + }, + { + "epoch": 0.68, + "learning_rate": 2.48845604941664e-06, + "loss": 0.8638, + "step": 1645 + }, + { + "epoch": 0.68, + "learning_rate": 2.4826907732364466e-06, + "loss": 0.877, + "step": 1646 + }, + { + "epoch": 0.68, + "learning_rate": 2.4769299768129317e-06, + "loss": 0.957, + "step": 1647 + }, + { + "epoch": 0.68, + "learning_rate": 2.4711736703979015e-06, + "loss": 1.0264, + "step": 1648 + }, + { + "epoch": 0.68, + "learning_rate": 2.465421864235175e-06, + "loss": 0.8936, + "step": 1649 + }, + { + "epoch": 0.68, + "learning_rate": 2.459674568560557e-06, + "loss": 0.979, + "step": 1650 + }, + { + "epoch": 0.68, + "learning_rate": 2.4539317936018287e-06, + "loss": 0.8848, + "step": 1651 + }, + { + "epoch": 0.68, + "learning_rate": 2.448193549578723e-06, + "loss": 0.9526, + "step": 1652 + }, + { + "epoch": 0.68, + "learning_rate": 2.4424598467029164e-06, + "loss": 0.8779, + "step": 1653 + }, + { + "epoch": 0.68, + "learning_rate": 2.436730695177998e-06, + "loss": 0.981, + "step": 1654 + }, + { + "epoch": 0.68, + "learning_rate": 2.4310061051994573e-06, + "loss": 1.042, + "step": 1655 + }, + { + "epoch": 0.68, + "learning_rate": 2.425286086954672e-06, + "loss": 0.9214, + "step": 1656 + }, + { + "epoch": 0.68, + "learning_rate": 2.4195706506228785e-06, + "loss": 1.0835, + "step": 1657 + }, + { + "epoch": 0.68, + "learning_rate": 2.413859806375159e-06, + "loss": 0.8599, + "step": 1658 + }, + { + "epoch": 0.68, + "learning_rate": 2.408153564374429e-06, + "loss": 0.9712, + "step": 1659 + }, + { + "epoch": 0.68, + "learning_rate": 2.4024519347754093e-06, + "loss": 0.8745, + "step": 1660 + }, + { + "epoch": 0.68, + "learning_rate": 2.396754927724614e-06, + "loss": 0.9297, + "step": 1661 + }, + { + "epoch": 0.68, + "learning_rate": 2.391062553360328e-06, + "loss": 0.9707, + "step": 1662 + }, + { + "epoch": 0.68, + "learning_rate": 2.3853748218126e-06, + "loss": 0.9521, + "step": 1663 + }, + { + "epoch": 0.69, + "learning_rate": 2.3796917432032084e-06, + "loss": 0.8408, + "step": 1664 + }, + { + "epoch": 0.69, + "learning_rate": 2.3740133276456528e-06, + "loss": 0.8267, + "step": 1665 + }, + { + "epoch": 0.69, + "learning_rate": 2.3683395852451396e-06, + "loss": 1.0039, + "step": 1666 + }, + { + "epoch": 0.69, + "learning_rate": 2.3626705260985534e-06, + "loss": 0.9175, + "step": 1667 + }, + { + "epoch": 0.69, + "learning_rate": 2.3570061602944443e-06, + "loss": 0.9487, + "step": 1668 + }, + { + "epoch": 0.69, + "learning_rate": 2.351346497913016e-06, + "loss": 0.8613, + "step": 1669 + }, + { + "epoch": 0.69, + "learning_rate": 2.3456915490260967e-06, + "loss": 0.9248, + "step": 1670 + }, + { + "epoch": 0.69, + "learning_rate": 2.3400413236971286e-06, + "loss": 0.9875, + "step": 1671 + }, + { + "epoch": 0.69, + "learning_rate": 2.334395831981145e-06, + "loss": 0.9126, + "step": 1672 + }, + { + "epoch": 0.69, + "learning_rate": 2.3287550839247625e-06, + "loss": 0.9561, + "step": 1673 + }, + { + "epoch": 0.69, + "learning_rate": 2.323119089566149e-06, + "loss": 1.0103, + "step": 1674 + }, + { + "epoch": 0.69, + "learning_rate": 2.3174878589350135e-06, + "loss": 0.9712, + "step": 1675 + }, + { + "epoch": 0.69, + "learning_rate": 2.311861402052593e-06, + "loss": 0.876, + "step": 1676 + }, + { + "epoch": 0.69, + "learning_rate": 2.306239728931624e-06, + "loss": 0.8423, + "step": 1677 + }, + { + "epoch": 0.69, + "learning_rate": 2.3006228495763295e-06, + "loss": 0.8647, + "step": 1678 + }, + { + "epoch": 0.69, + "learning_rate": 2.2950107739824067e-06, + "loss": 0.937, + "step": 1679 + }, + { + "epoch": 0.69, + "learning_rate": 2.2894035121369996e-06, + "loss": 0.9077, + "step": 1680 + }, + { + "epoch": 0.69, + "learning_rate": 2.283801074018685e-06, + "loss": 0.9155, + "step": 1681 + }, + { + "epoch": 0.69, + "learning_rate": 2.2782034695974613e-06, + "loss": 0.8394, + "step": 1682 + }, + { + "epoch": 0.69, + "learning_rate": 2.272610708834719e-06, + "loss": 0.8989, + "step": 1683 + }, + { + "epoch": 0.69, + "learning_rate": 2.2670228016832325e-06, + "loss": 0.9165, + "step": 1684 + }, + { + "epoch": 0.69, + "learning_rate": 2.261439758087134e-06, + "loss": 0.9473, + "step": 1685 + }, + { + "epoch": 0.69, + "learning_rate": 2.2558615879819085e-06, + "loss": 0.9961, + "step": 1686 + }, + { + "epoch": 0.69, + "learning_rate": 2.2502883012943614e-06, + "loss": 0.9282, + "step": 1687 + }, + { + "epoch": 0.7, + "learning_rate": 2.244719907942609e-06, + "loss": 1.022, + "step": 1688 + }, + { + "epoch": 0.7, + "learning_rate": 2.2391564178360637e-06, + "loss": 0.9243, + "step": 1689 + }, + { + "epoch": 0.7, + "learning_rate": 2.233597840875407e-06, + "loss": 0.9414, + "step": 1690 + }, + { + "epoch": 0.7, + "learning_rate": 2.228044186952578e-06, + "loss": 0.9678, + "step": 1691 + }, + { + "epoch": 0.7, + "learning_rate": 2.222495465950759e-06, + "loss": 1.0068, + "step": 1692 + }, + { + "epoch": 0.7, + "learning_rate": 2.2169516877443487e-06, + "loss": 0.9775, + "step": 1693 + }, + { + "epoch": 0.7, + "learning_rate": 2.2114128621989523e-06, + "loss": 0.9971, + "step": 1694 + }, + { + "epoch": 0.7, + "learning_rate": 2.2058789991713587e-06, + "loss": 0.9893, + "step": 1695 + }, + { + "epoch": 0.7, + "learning_rate": 2.20035010850953e-06, + "loss": 1.0122, + "step": 1696 + }, + { + "epoch": 0.7, + "learning_rate": 2.1948262000525778e-06, + "loss": 1.0088, + "step": 1697 + }, + { + "epoch": 0.7, + "learning_rate": 2.1893072836307433e-06, + "loss": 0.8945, + "step": 1698 + }, + { + "epoch": 0.7, + "learning_rate": 2.183793369065391e-06, + "loss": 0.98, + "step": 1699 + }, + { + "epoch": 0.7, + "learning_rate": 2.17828446616898e-06, + "loss": 0.8838, + "step": 1700 + }, + { + "epoch": 0.7, + "learning_rate": 2.172780584745049e-06, + "loss": 0.96, + "step": 1701 + }, + { + "epoch": 0.7, + "learning_rate": 2.167281734588207e-06, + "loss": 0.9512, + "step": 1702 + }, + { + "epoch": 0.7, + "learning_rate": 2.161787925484103e-06, + "loss": 0.9971, + "step": 1703 + }, + { + "epoch": 0.7, + "learning_rate": 2.1562991672094175e-06, + "loss": 0.981, + "step": 1704 + }, + { + "epoch": 0.7, + "learning_rate": 2.1508154695318417e-06, + "loss": 1.0098, + "step": 1705 + }, + { + "epoch": 0.7, + "learning_rate": 2.145336842210065e-06, + "loss": 0.9766, + "step": 1706 + }, + { + "epoch": 0.7, + "learning_rate": 2.139863294993749e-06, + "loss": 0.959, + "step": 1707 + }, + { + "epoch": 0.7, + "learning_rate": 2.1343948376235146e-06, + "loss": 0.9487, + "step": 1708 + }, + { + "epoch": 0.7, + "learning_rate": 2.12893147983093e-06, + "loss": 0.9072, + "step": 1709 + }, + { + "epoch": 0.7, + "learning_rate": 2.123473231338485e-06, + "loss": 1.0312, + "step": 1710 + }, + { + "epoch": 0.7, + "learning_rate": 2.118020101859573e-06, + "loss": 0.8926, + "step": 1711 + }, + { + "epoch": 0.71, + "learning_rate": 2.1125721010984873e-06, + "loss": 0.8452, + "step": 1712 + }, + { + "epoch": 0.71, + "learning_rate": 2.107129238750386e-06, + "loss": 0.8335, + "step": 1713 + }, + { + "epoch": 0.71, + "learning_rate": 2.101691524501286e-06, + "loss": 1.021, + "step": 1714 + }, + { + "epoch": 0.71, + "learning_rate": 2.0962589680280397e-06, + "loss": 0.9497, + "step": 1715 + }, + { + "epoch": 0.71, + "learning_rate": 2.0908315789983286e-06, + "loss": 0.8555, + "step": 1716 + }, + { + "epoch": 0.71, + "learning_rate": 2.085409367070631e-06, + "loss": 0.9697, + "step": 1717 + }, + { + "epoch": 0.71, + "learning_rate": 2.079992341894212e-06, + "loss": 0.9868, + "step": 1718 + }, + { + "epoch": 0.71, + "learning_rate": 2.074580513109113e-06, + "loss": 1.0679, + "step": 1719 + }, + { + "epoch": 0.71, + "learning_rate": 2.0691738903461218e-06, + "loss": 0.9956, + "step": 1720 + }, + { + "epoch": 0.71, + "learning_rate": 2.063772483226762e-06, + "loss": 0.9551, + "step": 1721 + }, + { + "epoch": 0.71, + "learning_rate": 2.0583763013632814e-06, + "loss": 0.8813, + "step": 1722 + }, + { + "epoch": 0.71, + "learning_rate": 2.052985354358622e-06, + "loss": 1.002, + "step": 1723 + }, + { + "epoch": 0.71, + "learning_rate": 2.0475996518064133e-06, + "loss": 0.9531, + "step": 1724 + }, + { + "epoch": 0.71, + "learning_rate": 2.04221920329095e-06, + "loss": 0.999, + "step": 1725 + }, + { + "epoch": 0.71, + "learning_rate": 2.0368440183871812e-06, + "loss": 0.8975, + "step": 1726 + }, + { + "epoch": 0.71, + "learning_rate": 2.0314741066606847e-06, + "loss": 0.9512, + "step": 1727 + }, + { + "epoch": 0.71, + "learning_rate": 2.0261094776676537e-06, + "loss": 0.9473, + "step": 1728 + }, + { + "epoch": 0.71, + "learning_rate": 2.0207501409548854e-06, + "loss": 0.8916, + "step": 1729 + }, + { + "epoch": 0.71, + "learning_rate": 2.015396106059754e-06, + "loss": 0.9868, + "step": 1730 + }, + { + "epoch": 0.71, + "learning_rate": 2.0100473825101984e-06, + "loss": 0.8403, + "step": 1731 + }, + { + "epoch": 0.71, + "learning_rate": 2.004703979824712e-06, + "loss": 0.8525, + "step": 1732 + }, + { + "epoch": 0.71, + "learning_rate": 1.9993659075123117e-06, + "loss": 0.9292, + "step": 1733 + }, + { + "epoch": 0.71, + "learning_rate": 1.994033175072533e-06, + "loss": 0.96, + "step": 1734 + }, + { + "epoch": 0.71, + "learning_rate": 1.9887057919954056e-06, + "loss": 0.9893, + "step": 1735 + }, + { + "epoch": 0.71, + "learning_rate": 1.9833837677614437e-06, + "loss": 0.9468, + "step": 1736 + }, + { + "epoch": 0.72, + "learning_rate": 1.9780671118416217e-06, + "loss": 1.0229, + "step": 1737 + }, + { + "epoch": 0.72, + "learning_rate": 1.9727558336973594e-06, + "loss": 0.9263, + "step": 1738 + }, + { + "epoch": 0.72, + "learning_rate": 1.9674499427805126e-06, + "loss": 0.8853, + "step": 1739 + }, + { + "epoch": 0.72, + "learning_rate": 1.962149448533344e-06, + "loss": 0.8687, + "step": 1740 + }, + { + "epoch": 0.72, + "learning_rate": 1.9568543603885136e-06, + "loss": 1.0591, + "step": 1741 + }, + { + "epoch": 0.72, + "learning_rate": 1.951564687769064e-06, + "loss": 0.9922, + "step": 1742 + }, + { + "epoch": 0.72, + "learning_rate": 1.9462804400883973e-06, + "loss": 0.9116, + "step": 1743 + }, + { + "epoch": 0.72, + "learning_rate": 1.941001626750262e-06, + "loss": 1.0176, + "step": 1744 + }, + { + "epoch": 0.72, + "learning_rate": 1.9357282571487346e-06, + "loss": 0.9033, + "step": 1745 + }, + { + "epoch": 0.72, + "learning_rate": 1.930460340668209e-06, + "loss": 0.9561, + "step": 1746 + }, + { + "epoch": 0.72, + "learning_rate": 1.9251978866833696e-06, + "loss": 0.9722, + "step": 1747 + }, + { + "epoch": 0.72, + "learning_rate": 1.91994090455918e-06, + "loss": 1.0083, + "step": 1748 + }, + { + "epoch": 0.72, + "learning_rate": 1.9146894036508714e-06, + "loss": 0.8745, + "step": 1749 + }, + { + "epoch": 0.72, + "learning_rate": 1.909443393303915e-06, + "loss": 1.0054, + "step": 1750 + }, + { + "epoch": 0.72, + "learning_rate": 1.904202882854012e-06, + "loss": 1.0039, + "step": 1751 + }, + { + "epoch": 0.72, + "learning_rate": 1.89896788162708e-06, + "loss": 0.9053, + "step": 1752 + }, + { + "epoch": 0.72, + "learning_rate": 1.8937383989392294e-06, + "loss": 0.8975, + "step": 1753 + }, + { + "epoch": 0.72, + "learning_rate": 1.888514444096749e-06, + "loss": 0.9399, + "step": 1754 + }, + { + "epoch": 0.72, + "learning_rate": 1.8832960263960908e-06, + "loss": 0.9707, + "step": 1755 + }, + { + "epoch": 0.72, + "learning_rate": 1.8780831551238566e-06, + "loss": 0.9067, + "step": 1756 + }, + { + "epoch": 0.72, + "learning_rate": 1.8728758395567743e-06, + "loss": 0.8462, + "step": 1757 + }, + { + "epoch": 0.72, + "learning_rate": 1.8676740889616835e-06, + "loss": 0.9399, + "step": 1758 + }, + { + "epoch": 0.72, + "learning_rate": 1.862477912595526e-06, + "loss": 0.9614, + "step": 1759 + }, + { + "epoch": 0.72, + "learning_rate": 1.8572873197053204e-06, + "loss": 0.958, + "step": 1760 + }, + { + "epoch": 0.73, + "learning_rate": 1.8521023195281457e-06, + "loss": 0.9131, + "step": 1761 + }, + { + "epoch": 0.73, + "learning_rate": 1.8469229212911361e-06, + "loss": 1.0596, + "step": 1762 + }, + { + "epoch": 0.73, + "learning_rate": 1.8417491342114501e-06, + "loss": 0.9761, + "step": 1763 + }, + { + "epoch": 0.73, + "learning_rate": 1.8365809674962643e-06, + "loss": 1.0137, + "step": 1764 + }, + { + "epoch": 0.73, + "learning_rate": 1.8314184303427484e-06, + "loss": 0.9551, + "step": 1765 + }, + { + "epoch": 0.73, + "learning_rate": 1.8262615319380628e-06, + "loss": 0.9521, + "step": 1766 + }, + { + "epoch": 0.73, + "learning_rate": 1.8211102814593252e-06, + "loss": 0.8926, + "step": 1767 + }, + { + "epoch": 0.73, + "learning_rate": 1.8159646880736036e-06, + "loss": 0.978, + "step": 1768 + }, + { + "epoch": 0.73, + "learning_rate": 1.8108247609379036e-06, + "loss": 0.8096, + "step": 1769 + }, + { + "epoch": 0.73, + "learning_rate": 1.8056905091991429e-06, + "loss": 0.9351, + "step": 1770 + }, + { + "epoch": 0.73, + "learning_rate": 1.8005619419941372e-06, + "loss": 0.9141, + "step": 1771 + }, + { + "epoch": 0.73, + "learning_rate": 1.7954390684495948e-06, + "loss": 0.9478, + "step": 1772 + }, + { + "epoch": 0.73, + "learning_rate": 1.790321897682083e-06, + "loss": 0.8623, + "step": 1773 + }, + { + "epoch": 0.73, + "learning_rate": 1.785210438798024e-06, + "loss": 0.8809, + "step": 1774 + }, + { + "epoch": 0.73, + "learning_rate": 1.7801047008936733e-06, + "loss": 0.9224, + "step": 1775 + }, + { + "epoch": 0.73, + "learning_rate": 1.7750046930551106e-06, + "loss": 0.9814, + "step": 1776 + }, + { + "epoch": 0.73, + "learning_rate": 1.7699104243582133e-06, + "loss": 0.9453, + "step": 1777 + }, + { + "epoch": 0.73, + "learning_rate": 1.7648219038686454e-06, + "loss": 0.9058, + "step": 1778 + }, + { + "epoch": 0.73, + "learning_rate": 1.7597391406418468e-06, + "loss": 0.9351, + "step": 1779 + }, + { + "epoch": 0.73, + "learning_rate": 1.7546621437230071e-06, + "loss": 0.9155, + "step": 1780 + }, + { + "epoch": 0.73, + "learning_rate": 1.749590922147053e-06, + "loss": 0.792, + "step": 1781 + }, + { + "epoch": 0.73, + "learning_rate": 1.7445254849386405e-06, + "loss": 0.9561, + "step": 1782 + }, + { + "epoch": 0.73, + "learning_rate": 1.739465841112125e-06, + "loss": 0.9253, + "step": 1783 + }, + { + "epoch": 0.73, + "learning_rate": 1.7344119996715547e-06, + "loss": 0.8247, + "step": 1784 + }, + { + "epoch": 0.74, + "learning_rate": 1.7293639696106502e-06, + "loss": 0.9863, + "step": 1785 + }, + { + "epoch": 0.74, + "learning_rate": 1.7243217599127953e-06, + "loss": 0.9175, + "step": 1786 + }, + { + "epoch": 0.74, + "learning_rate": 1.7192853795510112e-06, + "loss": 0.9814, + "step": 1787 + }, + { + "epoch": 0.74, + "learning_rate": 1.7142548374879448e-06, + "loss": 0.9683, + "step": 1788 + }, + { + "epoch": 0.74, + "learning_rate": 1.709230142675858e-06, + "loss": 0.853, + "step": 1789 + }, + { + "epoch": 0.74, + "learning_rate": 1.7042113040566032e-06, + "loss": 0.9272, + "step": 1790 + }, + { + "epoch": 0.74, + "learning_rate": 1.6991983305616106e-06, + "loss": 0.8862, + "step": 1791 + }, + { + "epoch": 0.74, + "learning_rate": 1.694191231111878e-06, + "loss": 0.9224, + "step": 1792 + }, + { + "epoch": 0.74, + "learning_rate": 1.689190014617944e-06, + "loss": 1.0742, + "step": 1793 + }, + { + "epoch": 0.74, + "learning_rate": 1.6841946899798812e-06, + "loss": 1.0225, + "step": 1794 + }, + { + "epoch": 0.74, + "learning_rate": 1.6792052660872749e-06, + "loss": 0.9355, + "step": 1795 + }, + { + "epoch": 0.74, + "learning_rate": 1.6742217518192139e-06, + "loss": 0.9272, + "step": 1796 + }, + { + "epoch": 0.74, + "learning_rate": 1.6692441560442656e-06, + "loss": 0.9233, + "step": 1797 + }, + { + "epoch": 0.74, + "learning_rate": 1.6642724876204658e-06, + "loss": 0.9487, + "step": 1798 + }, + { + "epoch": 0.74, + "learning_rate": 1.6593067553953069e-06, + "loss": 0.9492, + "step": 1799 + }, + { + "epoch": 0.74, + "learning_rate": 1.6543469682057105e-06, + "loss": 0.9263, + "step": 1800 + }, + { + "epoch": 0.74, + "learning_rate": 1.6493931348780211e-06, + "loss": 0.9414, + "step": 1801 + }, + { + "epoch": 0.74, + "learning_rate": 1.6444452642279912e-06, + "loss": 0.8423, + "step": 1802 + }, + { + "epoch": 0.74, + "learning_rate": 1.6395033650607583e-06, + "loss": 0.9658, + "step": 1803 + }, + { + "epoch": 0.74, + "learning_rate": 1.6345674461708316e-06, + "loss": 0.8369, + "step": 1804 + }, + { + "epoch": 0.74, + "learning_rate": 1.6296375163420846e-06, + "loss": 0.8948, + "step": 1805 + }, + { + "epoch": 0.74, + "learning_rate": 1.6247135843477274e-06, + "loss": 1.0142, + "step": 1806 + }, + { + "epoch": 0.74, + "learning_rate": 1.6197956589502967e-06, + "loss": 1.0083, + "step": 1807 + }, + { + "epoch": 0.74, + "learning_rate": 1.6148837489016406e-06, + "loss": 0.9888, + "step": 1808 + }, + { + "epoch": 0.75, + "learning_rate": 1.6099778629429052e-06, + "loss": 0.9341, + "step": 1809 + }, + { + "epoch": 0.75, + "learning_rate": 1.6050780098045126e-06, + "loss": 1.0244, + "step": 1810 + }, + { + "epoch": 0.75, + "learning_rate": 1.600184198206149e-06, + "loss": 0.9395, + "step": 1811 + }, + { + "epoch": 0.75, + "learning_rate": 1.595296436856753e-06, + "loss": 0.8882, + "step": 1812 + }, + { + "epoch": 0.75, + "learning_rate": 1.5904147344544928e-06, + "loss": 0.8872, + "step": 1813 + }, + { + "epoch": 0.75, + "learning_rate": 1.5855390996867537e-06, + "loss": 0.9082, + "step": 1814 + }, + { + "epoch": 0.75, + "learning_rate": 1.5806695412301271e-06, + "loss": 0.9712, + "step": 1815 + }, + { + "epoch": 0.75, + "learning_rate": 1.5758060677503879e-06, + "loss": 0.9463, + "step": 1816 + }, + { + "epoch": 0.75, + "learning_rate": 1.5709486879024827e-06, + "loss": 0.9019, + "step": 1817 + }, + { + "epoch": 0.75, + "learning_rate": 1.5660974103305127e-06, + "loss": 0.8901, + "step": 1818 + }, + { + "epoch": 0.75, + "learning_rate": 1.5612522436677246e-06, + "loss": 0.9126, + "step": 1819 + }, + { + "epoch": 0.75, + "learning_rate": 1.5564131965364849e-06, + "loss": 0.9033, + "step": 1820 + }, + { + "epoch": 0.75, + "learning_rate": 1.5515802775482703e-06, + "loss": 0.9307, + "step": 1821 + }, + { + "epoch": 0.75, + "learning_rate": 1.5467534953036572e-06, + "loss": 0.9268, + "step": 1822 + }, + { + "epoch": 0.75, + "learning_rate": 1.541932858392296e-06, + "loss": 0.9443, + "step": 1823 + }, + { + "epoch": 0.75, + "learning_rate": 1.5371183753929004e-06, + "loss": 0.9258, + "step": 1824 + }, + { + "epoch": 0.75, + "learning_rate": 1.5323100548732378e-06, + "loss": 0.9917, + "step": 1825 + }, + { + "epoch": 0.75, + "learning_rate": 1.5275079053901048e-06, + "loss": 1.0127, + "step": 1826 + }, + { + "epoch": 0.75, + "learning_rate": 1.5227119354893172e-06, + "loss": 0.9419, + "step": 1827 + }, + { + "epoch": 0.75, + "learning_rate": 1.517922153705692e-06, + "loss": 0.8867, + "step": 1828 + }, + { + "epoch": 0.75, + "learning_rate": 1.51313856856304e-06, + "loss": 0.939, + "step": 1829 + }, + { + "epoch": 0.75, + "learning_rate": 1.5083611885741372e-06, + "loss": 0.9331, + "step": 1830 + }, + { + "epoch": 0.75, + "learning_rate": 1.5035900222407197e-06, + "loss": 0.9995, + "step": 1831 + }, + { + "epoch": 0.75, + "learning_rate": 1.498825078053469e-06, + "loss": 0.8853, + "step": 1832 + }, + { + "epoch": 0.75, + "learning_rate": 1.49406636449199e-06, + "loss": 0.917, + "step": 1833 + }, + { + "epoch": 0.76, + "learning_rate": 1.4893138900247989e-06, + "loss": 0.8604, + "step": 1834 + }, + { + "epoch": 0.76, + "learning_rate": 1.4845676631093143e-06, + "loss": 1.1045, + "step": 1835 + }, + { + "epoch": 0.76, + "learning_rate": 1.4798276921918314e-06, + "loss": 0.8491, + "step": 1836 + }, + { + "epoch": 0.76, + "learning_rate": 1.4750939857075147e-06, + "loss": 0.9385, + "step": 1837 + }, + { + "epoch": 0.76, + "learning_rate": 1.4703665520803783e-06, + "loss": 0.939, + "step": 1838 + }, + { + "epoch": 0.76, + "learning_rate": 1.4656453997232783e-06, + "loss": 0.9668, + "step": 1839 + }, + { + "epoch": 0.76, + "learning_rate": 1.4609305370378867e-06, + "loss": 0.9849, + "step": 1840 + }, + { + "epoch": 0.76, + "learning_rate": 1.4562219724146887e-06, + "loss": 0.8481, + "step": 1841 + }, + { + "epoch": 0.76, + "learning_rate": 1.4515197142329552e-06, + "loss": 0.8599, + "step": 1842 + }, + { + "epoch": 0.76, + "learning_rate": 1.4468237708607397e-06, + "loss": 0.8535, + "step": 1843 + }, + { + "epoch": 0.76, + "learning_rate": 1.4421341506548553e-06, + "loss": 0.9219, + "step": 1844 + }, + { + "epoch": 0.76, + "learning_rate": 1.4374508619608608e-06, + "loss": 0.9053, + "step": 1845 + }, + { + "epoch": 0.76, + "learning_rate": 1.432773913113052e-06, + "loss": 0.8677, + "step": 1846 + }, + { + "epoch": 0.76, + "learning_rate": 1.4281033124344401e-06, + "loss": 0.8569, + "step": 1847 + }, + { + "epoch": 0.76, + "learning_rate": 1.423439068236736e-06, + "loss": 0.9395, + "step": 1848 + }, + { + "epoch": 0.76, + "learning_rate": 1.4187811888203468e-06, + "loss": 0.9092, + "step": 1849 + }, + { + "epoch": 0.76, + "learning_rate": 1.414129682474345e-06, + "loss": 0.9473, + "step": 1850 + }, + { + "epoch": 0.76, + "learning_rate": 1.4094845574764654e-06, + "loss": 0.9272, + "step": 1851 + }, + { + "epoch": 0.76, + "learning_rate": 1.4048458220930843e-06, + "loss": 0.96, + "step": 1852 + }, + { + "epoch": 0.76, + "learning_rate": 1.4002134845792125e-06, + "loss": 0.9019, + "step": 1853 + }, + { + "epoch": 0.76, + "learning_rate": 1.3955875531784695e-06, + "loss": 0.9795, + "step": 1854 + }, + { + "epoch": 0.76, + "learning_rate": 1.390968036123076e-06, + "loss": 1.0146, + "step": 1855 + }, + { + "epoch": 0.76, + "learning_rate": 1.3863549416338406e-06, + "loss": 1.0664, + "step": 1856 + }, + { + "epoch": 0.76, + "learning_rate": 1.3817482779201403e-06, + "loss": 0.9307, + "step": 1857 + }, + { + "epoch": 0.77, + "learning_rate": 1.3771480531799054e-06, + "loss": 0.9351, + "step": 1858 + }, + { + "epoch": 0.77, + "learning_rate": 1.3725542755996136e-06, + "loss": 0.9268, + "step": 1859 + }, + { + "epoch": 0.77, + "learning_rate": 1.367966953354265e-06, + "loss": 0.9766, + "step": 1860 + }, + { + "epoch": 0.77, + "learning_rate": 1.363386094607373e-06, + "loss": 0.856, + "step": 1861 + }, + { + "epoch": 0.77, + "learning_rate": 1.3588117075109464e-06, + "loss": 0.9668, + "step": 1862 + }, + { + "epoch": 0.77, + "learning_rate": 1.3542438002054832e-06, + "loss": 0.9292, + "step": 1863 + }, + { + "epoch": 0.77, + "learning_rate": 1.3496823808199438e-06, + "loss": 1.0073, + "step": 1864 + }, + { + "epoch": 0.77, + "learning_rate": 1.3451274574717449e-06, + "loss": 0.8633, + "step": 1865 + }, + { + "epoch": 0.77, + "learning_rate": 1.3405790382667456e-06, + "loss": 0.939, + "step": 1866 + }, + { + "epoch": 0.77, + "learning_rate": 1.336037131299227e-06, + "loss": 0.9604, + "step": 1867 + }, + { + "epoch": 0.77, + "learning_rate": 1.3315017446518808e-06, + "loss": 0.9346, + "step": 1868 + }, + { + "epoch": 0.77, + "learning_rate": 1.3269728863957993e-06, + "loss": 1.0894, + "step": 1869 + }, + { + "epoch": 0.77, + "learning_rate": 1.3224505645904534e-06, + "loss": 0.8911, + "step": 1870 + }, + { + "epoch": 0.77, + "learning_rate": 1.3179347872836823e-06, + "loss": 0.8501, + "step": 1871 + }, + { + "epoch": 0.77, + "learning_rate": 1.3134255625116782e-06, + "loss": 0.9131, + "step": 1872 + }, + { + "epoch": 0.77, + "learning_rate": 1.3089228982989771e-06, + "loss": 0.9341, + "step": 1873 + }, + { + "epoch": 0.77, + "learning_rate": 1.3044268026584338e-06, + "loss": 0.8647, + "step": 1874 + }, + { + "epoch": 0.77, + "learning_rate": 1.2999372835912166e-06, + "loss": 0.9355, + "step": 1875 + }, + { + "epoch": 0.77, + "learning_rate": 1.2954543490867917e-06, + "loss": 0.8584, + "step": 1876 + }, + { + "epoch": 0.77, + "learning_rate": 1.2909780071229044e-06, + "loss": 0.9668, + "step": 1877 + }, + { + "epoch": 0.77, + "learning_rate": 1.2865082656655698e-06, + "loss": 0.959, + "step": 1878 + }, + { + "epoch": 0.77, + "learning_rate": 1.2820451326690576e-06, + "loss": 0.8901, + "step": 1879 + }, + { + "epoch": 0.77, + "learning_rate": 1.277588616075876e-06, + "loss": 0.9121, + "step": 1880 + }, + { + "epoch": 0.77, + "learning_rate": 1.2731387238167586e-06, + "loss": 0.9473, + "step": 1881 + }, + { + "epoch": 0.78, + "learning_rate": 1.2686954638106497e-06, + "loss": 0.9058, + "step": 1882 + }, + { + "epoch": 0.78, + "learning_rate": 1.2642588439646951e-06, + "loss": 1.0078, + "step": 1883 + }, + { + "epoch": 0.78, + "learning_rate": 1.2598288721742191e-06, + "loss": 0.8472, + "step": 1884 + }, + { + "epoch": 0.78, + "learning_rate": 1.2554055563227163e-06, + "loss": 0.9507, + "step": 1885 + }, + { + "epoch": 0.78, + "learning_rate": 1.2509889042818396e-06, + "loss": 0.9756, + "step": 1886 + }, + { + "epoch": 0.78, + "learning_rate": 1.2465789239113797e-06, + "loss": 0.8711, + "step": 1887 + }, + { + "epoch": 0.78, + "learning_rate": 1.2421756230592535e-06, + "loss": 0.9268, + "step": 1888 + }, + { + "epoch": 0.78, + "learning_rate": 1.2377790095614973e-06, + "loss": 0.9639, + "step": 1889 + }, + { + "epoch": 0.78, + "learning_rate": 1.2333890912422409e-06, + "loss": 0.8809, + "step": 1890 + }, + { + "epoch": 0.78, + "learning_rate": 1.2290058759137008e-06, + "loss": 0.9575, + "step": 1891 + }, + { + "epoch": 0.78, + "learning_rate": 1.2246293713761642e-06, + "loss": 0.8164, + "step": 1892 + }, + { + "epoch": 0.78, + "learning_rate": 1.2202595854179811e-06, + "loss": 0.8418, + "step": 1893 + }, + { + "epoch": 0.78, + "learning_rate": 1.215896525815538e-06, + "loss": 0.9668, + "step": 1894 + }, + { + "epoch": 0.78, + "learning_rate": 1.2115402003332548e-06, + "loss": 0.8047, + "step": 1895 + }, + { + "epoch": 0.78, + "learning_rate": 1.2071906167235698e-06, + "loss": 0.9277, + "step": 1896 + }, + { + "epoch": 0.78, + "learning_rate": 1.2028477827269186e-06, + "loss": 0.9927, + "step": 1897 + }, + { + "epoch": 0.78, + "learning_rate": 1.1985117060717278e-06, + "loss": 0.936, + "step": 1898 + }, + { + "epoch": 0.78, + "learning_rate": 1.1941823944744007e-06, + "loss": 0.9365, + "step": 1899 + }, + { + "epoch": 0.78, + "learning_rate": 1.1898598556392987e-06, + "loss": 0.8784, + "step": 1900 + }, + { + "epoch": 0.78, + "learning_rate": 1.1855440972587318e-06, + "loss": 0.9482, + "step": 1901 + }, + { + "epoch": 0.78, + "learning_rate": 1.1812351270129412e-06, + "loss": 0.9849, + "step": 1902 + }, + { + "epoch": 0.78, + "learning_rate": 1.1769329525700934e-06, + "loss": 0.9927, + "step": 1903 + }, + { + "epoch": 0.78, + "learning_rate": 1.1726375815862561e-06, + "loss": 0.8823, + "step": 1904 + }, + { + "epoch": 0.78, + "learning_rate": 1.1683490217053916e-06, + "loss": 0.8384, + "step": 1905 + }, + { + "epoch": 0.79, + "learning_rate": 1.1640672805593423e-06, + "loss": 0.9771, + "step": 1906 + }, + { + "epoch": 0.79, + "learning_rate": 1.159792365767815e-06, + "loss": 1.0552, + "step": 1907 + }, + { + "epoch": 0.79, + "learning_rate": 1.1555242849383668e-06, + "loss": 0.9048, + "step": 1908 + }, + { + "epoch": 0.79, + "learning_rate": 1.1512630456663976e-06, + "loss": 1.0137, + "step": 1909 + }, + { + "epoch": 0.79, + "learning_rate": 1.1470086555351285e-06, + "loss": 0.8252, + "step": 1910 + }, + { + "epoch": 0.79, + "learning_rate": 1.1427611221155926e-06, + "loss": 1.0352, + "step": 1911 + }, + { + "epoch": 0.79, + "learning_rate": 1.1385204529666205e-06, + "loss": 0.9663, + "step": 1912 + }, + { + "epoch": 0.79, + "learning_rate": 1.1342866556348303e-06, + "loss": 0.9707, + "step": 1913 + }, + { + "epoch": 0.79, + "learning_rate": 1.130059737654608e-06, + "loss": 0.9551, + "step": 1914 + }, + { + "epoch": 0.79, + "learning_rate": 1.1258397065480963e-06, + "loss": 0.8589, + "step": 1915 + }, + { + "epoch": 0.79, + "learning_rate": 1.1216265698251877e-06, + "loss": 0.9321, + "step": 1916 + }, + { + "epoch": 0.79, + "learning_rate": 1.1174203349835e-06, + "loss": 0.8271, + "step": 1917 + }, + { + "epoch": 0.79, + "learning_rate": 1.1132210095083696e-06, + "loss": 0.8994, + "step": 1918 + }, + { + "epoch": 0.79, + "learning_rate": 1.1090286008728402e-06, + "loss": 1.0269, + "step": 1919 + }, + { + "epoch": 0.79, + "learning_rate": 1.1048431165376433e-06, + "loss": 1.0425, + "step": 1920 + }, + { + "epoch": 0.79, + "learning_rate": 1.1006645639511881e-06, + "loss": 0.9556, + "step": 1921 + }, + { + "epoch": 0.79, + "learning_rate": 1.096492950549549e-06, + "loss": 0.875, + "step": 1922 + }, + { + "epoch": 0.79, + "learning_rate": 1.0923282837564537e-06, + "loss": 0.9404, + "step": 1923 + }, + { + "epoch": 0.79, + "learning_rate": 1.088170570983264e-06, + "loss": 0.9707, + "step": 1924 + }, + { + "epoch": 0.79, + "learning_rate": 1.0840198196289676e-06, + "loss": 0.9365, + "step": 1925 + }, + { + "epoch": 0.79, + "learning_rate": 1.0798760370801664e-06, + "loss": 0.9658, + "step": 1926 + }, + { + "epoch": 0.79, + "learning_rate": 1.075739230711058e-06, + "loss": 0.9111, + "step": 1927 + }, + { + "epoch": 0.79, + "learning_rate": 1.0716094078834244e-06, + "loss": 0.936, + "step": 1928 + }, + { + "epoch": 0.79, + "learning_rate": 1.0674865759466246e-06, + "loss": 0.9277, + "step": 1929 + }, + { + "epoch": 0.79, + "learning_rate": 1.0633707422375716e-06, + "loss": 0.9463, + "step": 1930 + }, + { + "epoch": 0.8, + "learning_rate": 1.0592619140807276e-06, + "loss": 0.9365, + "step": 1931 + }, + { + "epoch": 0.8, + "learning_rate": 1.0551600987880839e-06, + "loss": 0.9746, + "step": 1932 + }, + { + "epoch": 0.8, + "learning_rate": 1.0510653036591583e-06, + "loss": 0.9858, + "step": 1933 + }, + { + "epoch": 0.8, + "learning_rate": 1.046977535980971e-06, + "loss": 0.9502, + "step": 1934 + }, + { + "epoch": 0.8, + "learning_rate": 1.0428968030280357e-06, + "loss": 0.9263, + "step": 1935 + }, + { + "epoch": 0.8, + "learning_rate": 1.038823112062351e-06, + "loss": 1.0488, + "step": 1936 + }, + { + "epoch": 0.8, + "learning_rate": 1.0347564703333813e-06, + "loss": 0.9883, + "step": 1937 + }, + { + "epoch": 0.8, + "learning_rate": 1.030696885078044e-06, + "loss": 1.0581, + "step": 1938 + }, + { + "epoch": 0.8, + "learning_rate": 1.0266443635207052e-06, + "loss": 0.9307, + "step": 1939 + }, + { + "epoch": 0.8, + "learning_rate": 1.022598912873155e-06, + "loss": 1.0381, + "step": 1940 + }, + { + "epoch": 0.8, + "learning_rate": 1.018560540334601e-06, + "loss": 0.8525, + "step": 1941 + }, + { + "epoch": 0.8, + "learning_rate": 1.0145292530916584e-06, + "loss": 0.9795, + "step": 1942 + }, + { + "epoch": 0.8, + "learning_rate": 1.01050505831833e-06, + "loss": 0.9619, + "step": 1943 + }, + { + "epoch": 0.8, + "learning_rate": 1.0064879631759976e-06, + "loss": 0.8896, + "step": 1944 + }, + { + "epoch": 0.8, + "learning_rate": 1.0024779748134077e-06, + "loss": 0.8389, + "step": 1945 + }, + { + "epoch": 0.8, + "learning_rate": 9.984751003666638e-07, + "loss": 0.9409, + "step": 1946 + }, + { + "epoch": 0.8, + "learning_rate": 9.944793469592057e-07, + "loss": 0.9102, + "step": 1947 + }, + { + "epoch": 0.8, + "learning_rate": 9.904907217018e-07, + "loss": 0.8979, + "step": 1948 + }, + { + "epoch": 0.8, + "learning_rate": 9.865092316925328e-07, + "loss": 0.9277, + "step": 1949 + }, + { + "epoch": 0.8, + "learning_rate": 9.825348840167893e-07, + "loss": 0.8667, + "step": 1950 + }, + { + "epoch": 0.8, + "learning_rate": 9.785676857472421e-07, + "loss": 0.9351, + "step": 1951 + }, + { + "epoch": 0.8, + "learning_rate": 9.746076439438463e-07, + "loss": 0.9619, + "step": 1952 + }, + { + "epoch": 0.8, + "learning_rate": 9.70654765653818e-07, + "loss": 0.9258, + "step": 1953 + }, + { + "epoch": 0.8, + "learning_rate": 9.66709057911625e-07, + "loss": 0.9062, + "step": 1954 + }, + { + "epoch": 0.81, + "learning_rate": 9.627705277389749e-07, + "loss": 0.8643, + "step": 1955 + }, + { + "epoch": 0.81, + "learning_rate": 9.588391821448046e-07, + "loss": 0.9399, + "step": 1956 + }, + { + "epoch": 0.81, + "learning_rate": 9.549150281252633e-07, + "loss": 0.8408, + "step": 1957 + }, + { + "epoch": 0.81, + "learning_rate": 9.509980726637003e-07, + "loss": 0.8579, + "step": 1958 + }, + { + "epoch": 0.81, + "learning_rate": 9.470883227306598e-07, + "loss": 0.915, + "step": 1959 + }, + { + "epoch": 0.81, + "learning_rate": 9.431857852838583e-07, + "loss": 0.9614, + "step": 1960 + }, + { + "epoch": 0.81, + "learning_rate": 9.392904672681779e-07, + "loss": 0.8486, + "step": 1961 + }, + { + "epoch": 0.81, + "learning_rate": 9.354023756156571e-07, + "loss": 1.0107, + "step": 1962 + }, + { + "epoch": 0.81, + "learning_rate": 9.315215172454689e-07, + "loss": 0.9141, + "step": 1963 + }, + { + "epoch": 0.81, + "learning_rate": 9.276478990639182e-07, + "loss": 0.9404, + "step": 1964 + }, + { + "epoch": 0.81, + "learning_rate": 9.237815279644213e-07, + "loss": 0.9546, + "step": 1965 + }, + { + "epoch": 0.81, + "learning_rate": 9.19922410827504e-07, + "loss": 0.8579, + "step": 1966 + }, + { + "epoch": 0.81, + "learning_rate": 9.16070554520777e-07, + "loss": 0.9565, + "step": 1967 + }, + { + "epoch": 0.81, + "learning_rate": 9.122259658989319e-07, + "loss": 0.8916, + "step": 1968 + }, + { + "epoch": 0.81, + "learning_rate": 9.083886518037288e-07, + "loss": 0.8496, + "step": 1969 + }, + { + "epoch": 0.81, + "learning_rate": 9.045586190639799e-07, + "loss": 0.8389, + "step": 1970 + }, + { + "epoch": 0.81, + "learning_rate": 9.00735874495538e-07, + "loss": 1.0293, + "step": 1971 + }, + { + "epoch": 0.81, + "learning_rate": 8.96920424901292e-07, + "loss": 1.0117, + "step": 1972 + }, + { + "epoch": 0.81, + "learning_rate": 8.931122770711425e-07, + "loss": 0.8594, + "step": 1973 + }, + { + "epoch": 0.81, + "learning_rate": 8.893114377820001e-07, + "loss": 0.9004, + "step": 1974 + }, + { + "epoch": 0.81, + "learning_rate": 8.855179137977649e-07, + "loss": 0.9536, + "step": 1975 + }, + { + "epoch": 0.81, + "learning_rate": 8.817317118693253e-07, + "loss": 0.8613, + "step": 1976 + }, + { + "epoch": 0.81, + "learning_rate": 8.779528387345338e-07, + "loss": 0.8018, + "step": 1977 + }, + { + "epoch": 0.81, + "learning_rate": 8.741813011182015e-07, + "loss": 0.9224, + "step": 1978 + }, + { + "epoch": 0.82, + "learning_rate": 8.704171057320893e-07, + "loss": 0.9546, + "step": 1979 + }, + { + "epoch": 0.82, + "learning_rate": 8.666602592748885e-07, + "loss": 0.9307, + "step": 1980 + }, + { + "epoch": 0.82, + "learning_rate": 8.629107684322113e-07, + "loss": 0.937, + "step": 1981 + }, + { + "epoch": 0.82, + "learning_rate": 8.591686398765847e-07, + "loss": 0.939, + "step": 1982 + }, + { + "epoch": 0.82, + "learning_rate": 8.5543388026743e-07, + "loss": 0.9771, + "step": 1983 + }, + { + "epoch": 0.82, + "learning_rate": 8.517064962510552e-07, + "loss": 0.9844, + "step": 1984 + }, + { + "epoch": 0.82, + "learning_rate": 8.479864944606431e-07, + "loss": 0.9541, + "step": 1985 + }, + { + "epoch": 0.82, + "learning_rate": 8.442738815162421e-07, + "loss": 0.9326, + "step": 1986 + }, + { + "epoch": 0.82, + "learning_rate": 8.405686640247473e-07, + "loss": 0.9287, + "step": 1987 + }, + { + "epoch": 0.82, + "learning_rate": 8.368708485798938e-07, + "loss": 0.8892, + "step": 1988 + }, + { + "epoch": 0.82, + "learning_rate": 8.331804417622486e-07, + "loss": 0.8442, + "step": 1989 + }, + { + "epoch": 0.82, + "learning_rate": 8.294974501391884e-07, + "loss": 0.9595, + "step": 1990 + }, + { + "epoch": 0.82, + "learning_rate": 8.25821880264896e-07, + "loss": 0.9629, + "step": 1991 + }, + { + "epoch": 0.82, + "learning_rate": 8.221537386803496e-07, + "loss": 0.769, + "step": 1992 + }, + { + "epoch": 0.82, + "learning_rate": 8.18493031913305e-07, + "loss": 0.897, + "step": 1993 + }, + { + "epoch": 0.82, + "learning_rate": 8.14839766478287e-07, + "loss": 0.978, + "step": 1994 + }, + { + "epoch": 0.82, + "learning_rate": 8.11193948876578e-07, + "loss": 0.9448, + "step": 1995 + }, + { + "epoch": 0.82, + "learning_rate": 8.075555855962097e-07, + "loss": 0.9233, + "step": 1996 + }, + { + "epoch": 0.82, + "learning_rate": 8.039246831119446e-07, + "loss": 0.9087, + "step": 1997 + }, + { + "epoch": 0.82, + "learning_rate": 8.003012478852679e-07, + "loss": 0.9766, + "step": 1998 + }, + { + "epoch": 0.82, + "learning_rate": 7.966852863643798e-07, + "loss": 0.9712, + "step": 1999 + }, + { + "epoch": 0.82, + "learning_rate": 7.930768049841769e-07, + "loss": 0.8066, + "step": 2000 + }, + { + "epoch": 0.82, + "learning_rate": 7.894758101662448e-07, + "loss": 0.9141, + "step": 2001 + }, + { + "epoch": 0.82, + "learning_rate": 7.858823083188494e-07, + "loss": 0.9697, + "step": 2002 + }, + { + "epoch": 0.82, + "learning_rate": 7.822963058369176e-07, + "loss": 0.9038, + "step": 2003 + }, + { + "epoch": 0.83, + "learning_rate": 7.787178091020337e-07, + "loss": 0.8667, + "step": 2004 + }, + { + "epoch": 0.83, + "learning_rate": 7.751468244824217e-07, + "loss": 1.0122, + "step": 2005 + }, + { + "epoch": 0.83, + "learning_rate": 7.71583358332943e-07, + "loss": 0.9556, + "step": 2006 + }, + { + "epoch": 0.83, + "learning_rate": 7.680274169950741e-07, + "loss": 1.0796, + "step": 2007 + }, + { + "epoch": 0.83, + "learning_rate": 7.644790067969005e-07, + "loss": 0.9014, + "step": 2008 + }, + { + "epoch": 0.83, + "learning_rate": 7.609381340531096e-07, + "loss": 0.979, + "step": 2009 + }, + { + "epoch": 0.83, + "learning_rate": 7.574048050649712e-07, + "loss": 0.9746, + "step": 2010 + }, + { + "epoch": 0.83, + "learning_rate": 7.53879026120331e-07, + "loss": 1.0249, + "step": 2011 + }, + { + "epoch": 0.83, + "learning_rate": 7.503608034936022e-07, + "loss": 0.9268, + "step": 2012 + }, + { + "epoch": 0.83, + "learning_rate": 7.46850143445747e-07, + "loss": 0.8506, + "step": 2013 + }, + { + "epoch": 0.83, + "learning_rate": 7.433470522242702e-07, + "loss": 0.8916, + "step": 2014 + }, + { + "epoch": 0.83, + "learning_rate": 7.398515360632075e-07, + "loss": 0.8433, + "step": 2015 + }, + { + "epoch": 0.83, + "learning_rate": 7.36363601183116e-07, + "loss": 1.0073, + "step": 2016 + }, + { + "epoch": 0.83, + "learning_rate": 7.328832537910585e-07, + "loss": 0.938, + "step": 2017 + }, + { + "epoch": 0.83, + "learning_rate": 7.294105000805962e-07, + "loss": 0.999, + "step": 2018 + }, + { + "epoch": 0.83, + "learning_rate": 7.259453462317789e-07, + "loss": 0.916, + "step": 2019 + }, + { + "epoch": 0.83, + "learning_rate": 7.224877984111289e-07, + "loss": 0.9761, + "step": 2020 + }, + { + "epoch": 0.83, + "learning_rate": 7.190378627716321e-07, + "loss": 0.917, + "step": 2021 + }, + { + "epoch": 0.83, + "learning_rate": 7.15595545452733e-07, + "loss": 0.9341, + "step": 2022 + }, + { + "epoch": 0.83, + "learning_rate": 7.121608525803142e-07, + "loss": 0.9268, + "step": 2023 + }, + { + "epoch": 0.83, + "learning_rate": 7.087337902666907e-07, + "loss": 0.9194, + "step": 2024 + }, + { + "epoch": 0.83, + "learning_rate": 7.053143646105987e-07, + "loss": 0.8872, + "step": 2025 + }, + { + "epoch": 0.83, + "learning_rate": 7.019025816971852e-07, + "loss": 0.9487, + "step": 2026 + }, + { + "epoch": 0.83, + "learning_rate": 6.984984475979961e-07, + "loss": 0.9761, + "step": 2027 + }, + { + "epoch": 0.84, + "learning_rate": 6.951019683709631e-07, + "loss": 0.9829, + "step": 2028 + }, + { + "epoch": 0.84, + "learning_rate": 6.917131500603996e-07, + "loss": 0.9043, + "step": 2029 + }, + { + "epoch": 0.84, + "learning_rate": 6.883319986969834e-07, + "loss": 0.9048, + "step": 2030 + }, + { + "epoch": 0.84, + "learning_rate": 6.849585202977466e-07, + "loss": 0.9971, + "step": 2031 + }, + { + "epoch": 0.84, + "learning_rate": 6.815927208660711e-07, + "loss": 0.8374, + "step": 2032 + }, + { + "epoch": 0.84, + "learning_rate": 6.7823460639167e-07, + "loss": 0.8423, + "step": 2033 + }, + { + "epoch": 0.84, + "learning_rate": 6.748841828505815e-07, + "loss": 1.0513, + "step": 2034 + }, + { + "epoch": 0.84, + "learning_rate": 6.715414562051553e-07, + "loss": 0.9419, + "step": 2035 + }, + { + "epoch": 0.84, + "learning_rate": 6.682064324040482e-07, + "loss": 0.9072, + "step": 2036 + }, + { + "epoch": 0.84, + "learning_rate": 6.648791173822055e-07, + "loss": 0.8896, + "step": 2037 + }, + { + "epoch": 0.84, + "learning_rate": 6.615595170608541e-07, + "loss": 0.9282, + "step": 2038 + }, + { + "epoch": 0.84, + "learning_rate": 6.58247637347495e-07, + "loss": 0.8364, + "step": 2039 + }, + { + "epoch": 0.84, + "learning_rate": 6.54943484135886e-07, + "loss": 0.894, + "step": 2040 + }, + { + "epoch": 0.84, + "learning_rate": 6.516470633060368e-07, + "loss": 0.9692, + "step": 2041 + }, + { + "epoch": 0.84, + "learning_rate": 6.483583807241984e-07, + "loss": 0.8071, + "step": 2042 + }, + { + "epoch": 0.84, + "learning_rate": 6.450774422428474e-07, + "loss": 0.9175, + "step": 2043 + }, + { + "epoch": 0.84, + "learning_rate": 6.418042537006813e-07, + "loss": 0.9829, + "step": 2044 + }, + { + "epoch": 0.84, + "learning_rate": 6.385388209226046e-07, + "loss": 0.8667, + "step": 2045 + }, + { + "epoch": 0.84, + "learning_rate": 6.352811497197231e-07, + "loss": 0.9077, + "step": 2046 + }, + { + "epoch": 0.84, + "learning_rate": 6.320312458893262e-07, + "loss": 0.8452, + "step": 2047 + }, + { + "epoch": 0.84, + "learning_rate": 6.287891152148823e-07, + "loss": 0.9746, + "step": 2048 + }, + { + "epoch": 0.84, + "learning_rate": 6.255547634660275e-07, + "loss": 0.9858, + "step": 2049 + }, + { + "epoch": 0.84, + "learning_rate": 6.223281963985539e-07, + "loss": 1.0029, + "step": 2050 + }, + { + "epoch": 0.84, + "learning_rate": 6.191094197543995e-07, + "loss": 0.915, + "step": 2051 + }, + { + "epoch": 0.85, + "learning_rate": 6.158984392616407e-07, + "loss": 1.0815, + "step": 2052 + }, + { + "epoch": 0.85, + "learning_rate": 6.126952606344777e-07, + "loss": 1.0, + "step": 2053 + }, + { + "epoch": 0.85, + "learning_rate": 6.094998895732279e-07, + "loss": 0.8174, + "step": 2054 + }, + { + "epoch": 0.85, + "learning_rate": 6.063123317643127e-07, + "loss": 0.9243, + "step": 2055 + }, + { + "epoch": 0.85, + "learning_rate": 6.031325928802534e-07, + "loss": 0.9795, + "step": 2056 + }, + { + "epoch": 0.85, + "learning_rate": 5.99960678579653e-07, + "loss": 0.9678, + "step": 2057 + }, + { + "epoch": 0.85, + "learning_rate": 5.967965945071896e-07, + "loss": 0.9136, + "step": 2058 + }, + { + "epoch": 0.85, + "learning_rate": 5.936403462936113e-07, + "loss": 1.0659, + "step": 2059 + }, + { + "epoch": 0.85, + "learning_rate": 5.904919395557173e-07, + "loss": 0.9502, + "step": 2060 + }, + { + "epoch": 0.85, + "learning_rate": 5.873513798963521e-07, + "loss": 1.0381, + "step": 2061 + }, + { + "epoch": 0.85, + "learning_rate": 5.842186729044003e-07, + "loss": 1.02, + "step": 2062 + }, + { + "epoch": 0.85, + "learning_rate": 5.81093824154767e-07, + "loss": 0.9292, + "step": 2063 + }, + { + "epoch": 0.85, + "learning_rate": 5.779768392083745e-07, + "loss": 0.9531, + "step": 2064 + }, + { + "epoch": 0.85, + "learning_rate": 5.74867723612153e-07, + "loss": 0.9302, + "step": 2065 + }, + { + "epoch": 0.85, + "learning_rate": 5.717664828990266e-07, + "loss": 0.9463, + "step": 2066 + }, + { + "epoch": 0.85, + "learning_rate": 5.686731225879038e-07, + "loss": 0.9854, + "step": 2067 + }, + { + "epoch": 0.85, + "learning_rate": 5.655876481836719e-07, + "loss": 0.9033, + "step": 2068 + }, + { + "epoch": 0.85, + "learning_rate": 5.625100651771848e-07, + "loss": 0.8862, + "step": 2069 + }, + { + "epoch": 0.85, + "learning_rate": 5.594403790452513e-07, + "loss": 0.8838, + "step": 2070 + }, + { + "epoch": 0.85, + "learning_rate": 5.563785952506267e-07, + "loss": 0.9292, + "step": 2071 + }, + { + "epoch": 0.85, + "learning_rate": 5.533247192420066e-07, + "loss": 1.0205, + "step": 2072 + }, + { + "epoch": 0.85, + "learning_rate": 5.502787564540102e-07, + "loss": 0.9453, + "step": 2073 + }, + { + "epoch": 0.85, + "learning_rate": 5.47240712307176e-07, + "loss": 1.0479, + "step": 2074 + }, + { + "epoch": 0.85, + "learning_rate": 5.442105922079533e-07, + "loss": 0.9346, + "step": 2075 + }, + { + "epoch": 0.86, + "learning_rate": 5.411884015486851e-07, + "loss": 0.9336, + "step": 2076 + }, + { + "epoch": 0.86, + "learning_rate": 5.381741457076068e-07, + "loss": 0.8599, + "step": 2077 + }, + { + "epoch": 0.86, + "learning_rate": 5.351678300488306e-07, + "loss": 0.9673, + "step": 2078 + }, + { + "epoch": 0.86, + "learning_rate": 5.32169459922342e-07, + "loss": 0.8862, + "step": 2079 + }, + { + "epoch": 0.86, + "learning_rate": 5.291790406639836e-07, + "loss": 0.9541, + "step": 2080 + }, + { + "epoch": 0.86, + "learning_rate": 5.261965775954486e-07, + "loss": 0.9268, + "step": 2081 + }, + { + "epoch": 0.86, + "learning_rate": 5.232220760242757e-07, + "loss": 0.8115, + "step": 2082 + }, + { + "epoch": 0.86, + "learning_rate": 5.202555412438309e-07, + "loss": 0.856, + "step": 2083 + }, + { + "epoch": 0.86, + "learning_rate": 5.172969785333038e-07, + "loss": 0.9688, + "step": 2084 + }, + { + "epoch": 0.86, + "learning_rate": 5.143463931576992e-07, + "loss": 0.9355, + "step": 2085 + }, + { + "epoch": 0.86, + "learning_rate": 5.114037903678227e-07, + "loss": 1.0078, + "step": 2086 + }, + { + "epoch": 0.86, + "learning_rate": 5.084691754002763e-07, + "loss": 0.9727, + "step": 2087 + }, + { + "epoch": 0.86, + "learning_rate": 5.055425534774444e-07, + "loss": 0.9653, + "step": 2088 + }, + { + "epoch": 0.86, + "learning_rate": 5.026239298074909e-07, + "loss": 0.8926, + "step": 2089 + }, + { + "epoch": 0.86, + "learning_rate": 4.997133095843443e-07, + "loss": 0.9761, + "step": 2090 + }, + { + "epoch": 0.86, + "learning_rate": 4.96810697987688e-07, + "loss": 0.9653, + "step": 2091 + }, + { + "epoch": 0.86, + "learning_rate": 4.939161001829579e-07, + "loss": 0.8062, + "step": 2092 + }, + { + "epoch": 0.86, + "learning_rate": 4.910295213213262e-07, + "loss": 0.8564, + "step": 2093 + }, + { + "epoch": 0.86, + "learning_rate": 4.881509665396927e-07, + "loss": 0.8369, + "step": 2094 + }, + { + "epoch": 0.86, + "learning_rate": 4.852804409606832e-07, + "loss": 0.897, + "step": 2095 + }, + { + "epoch": 0.86, + "learning_rate": 4.824179496926296e-07, + "loss": 0.915, + "step": 2096 + }, + { + "epoch": 0.86, + "learning_rate": 4.795634978295688e-07, + "loss": 0.9727, + "step": 2097 + }, + { + "epoch": 0.86, + "learning_rate": 4.7671709045122914e-07, + "loss": 0.8496, + "step": 2098 + }, + { + "epoch": 0.86, + "learning_rate": 4.73878732623026e-07, + "loss": 0.9595, + "step": 2099 + }, + { + "epoch": 0.86, + "learning_rate": 4.7104842939604713e-07, + "loss": 0.9575, + "step": 2100 + }, + { + "epoch": 0.87, + "learning_rate": 4.6822618580704694e-07, + "loss": 0.9126, + "step": 2101 + }, + { + "epoch": 0.87, + "learning_rate": 4.6541200687843903e-07, + "loss": 0.8848, + "step": 2102 + }, + { + "epoch": 0.87, + "learning_rate": 4.6260589761828347e-07, + "loss": 0.9302, + "step": 2103 + }, + { + "epoch": 0.87, + "learning_rate": 4.5980786302027846e-07, + "loss": 0.9854, + "step": 2104 + }, + { + "epoch": 0.87, + "learning_rate": 4.570179080637571e-07, + "loss": 0.8774, + "step": 2105 + }, + { + "epoch": 0.87, + "learning_rate": 4.542360377136701e-07, + "loss": 0.8638, + "step": 2106 + }, + { + "epoch": 0.87, + "learning_rate": 4.5146225692058174e-07, + "loss": 0.8589, + "step": 2107 + }, + { + "epoch": 0.87, + "learning_rate": 4.486965706206597e-07, + "loss": 0.8926, + "step": 2108 + }, + { + "epoch": 0.87, + "learning_rate": 4.4593898373567093e-07, + "loss": 1.0474, + "step": 2109 + }, + { + "epoch": 0.87, + "learning_rate": 4.431895011729637e-07, + "loss": 0.916, + "step": 2110 + }, + { + "epoch": 0.87, + "learning_rate": 4.404481278254652e-07, + "loss": 0.9023, + "step": 2111 + }, + { + "epoch": 0.87, + "learning_rate": 4.3771486857167476e-07, + "loss": 1.0747, + "step": 2112 + }, + { + "epoch": 0.87, + "learning_rate": 4.349897282756488e-07, + "loss": 0.916, + "step": 2113 + }, + { + "epoch": 0.87, + "learning_rate": 4.322727117869951e-07, + "loss": 0.9756, + "step": 2114 + }, + { + "epoch": 0.87, + "learning_rate": 4.2956382394086783e-07, + "loss": 0.9004, + "step": 2115 + }, + { + "epoch": 0.87, + "learning_rate": 4.2686306955795173e-07, + "loss": 0.8735, + "step": 2116 + }, + { + "epoch": 0.87, + "learning_rate": 4.241704534444596e-07, + "loss": 0.9028, + "step": 2117 + }, + { + "epoch": 0.87, + "learning_rate": 4.2148598039212064e-07, + "loss": 0.9331, + "step": 2118 + }, + { + "epoch": 0.87, + "learning_rate": 4.1880965517817396e-07, + "loss": 1.125, + "step": 2119 + }, + { + "epoch": 0.87, + "learning_rate": 4.161414825653576e-07, + "loss": 0.8633, + "step": 2120 + }, + { + "epoch": 0.87, + "learning_rate": 4.1348146730190165e-07, + "loss": 0.9492, + "step": 2121 + }, + { + "epoch": 0.87, + "learning_rate": 4.1082961412152065e-07, + "loss": 0.9688, + "step": 2122 + }, + { + "epoch": 0.87, + "learning_rate": 4.081859277434025e-07, + "loss": 0.8325, + "step": 2123 + }, + { + "epoch": 0.87, + "learning_rate": 4.055504128722021e-07, + "loss": 0.9243, + "step": 2124 + }, + { + "epoch": 0.88, + "learning_rate": 4.0292307419803333e-07, + "loss": 0.8984, + "step": 2125 + }, + { + "epoch": 0.88, + "learning_rate": 4.003039163964595e-07, + "loss": 0.9004, + "step": 2126 + }, + { + "epoch": 0.88, + "learning_rate": 3.9769294412848436e-07, + "loss": 0.9194, + "step": 2127 + }, + { + "epoch": 0.88, + "learning_rate": 3.9509016204054506e-07, + "loss": 0.9976, + "step": 2128 + }, + { + "epoch": 0.88, + "learning_rate": 3.9249557476450593e-07, + "loss": 0.8608, + "step": 2129 + }, + { + "epoch": 0.88, + "learning_rate": 3.8990918691764525e-07, + "loss": 0.8813, + "step": 2130 + }, + { + "epoch": 0.88, + "learning_rate": 3.8733100310265e-07, + "loss": 0.8916, + "step": 2131 + }, + { + "epoch": 0.88, + "learning_rate": 3.847610279076097e-07, + "loss": 0.9067, + "step": 2132 + }, + { + "epoch": 0.88, + "learning_rate": 3.8219926590600365e-07, + "loss": 0.8857, + "step": 2133 + }, + { + "epoch": 0.88, + "learning_rate": 3.7964572165669456e-07, + "loss": 0.9985, + "step": 2134 + }, + { + "epoch": 0.88, + "learning_rate": 3.7710039970392464e-07, + "loss": 1.0391, + "step": 2135 + }, + { + "epoch": 0.88, + "learning_rate": 3.745633045773006e-07, + "loss": 1.0117, + "step": 2136 + }, + { + "epoch": 0.88, + "learning_rate": 3.7203444079178977e-07, + "loss": 1.04, + "step": 2137 + }, + { + "epoch": 0.88, + "learning_rate": 3.695138128477094e-07, + "loss": 0.9458, + "step": 2138 + }, + { + "epoch": 0.88, + "learning_rate": 3.670014252307247e-07, + "loss": 1.0249, + "step": 2139 + }, + { + "epoch": 0.88, + "learning_rate": 3.6449728241183256e-07, + "loss": 0.9243, + "step": 2140 + }, + { + "epoch": 0.88, + "learning_rate": 3.6200138884735894e-07, + "loss": 0.9585, + "step": 2141 + }, + { + "epoch": 0.88, + "learning_rate": 3.595137489789502e-07, + "loss": 0.8748, + "step": 2142 + }, + { + "epoch": 0.88, + "learning_rate": 3.570343672335641e-07, + "loss": 0.9385, + "step": 2143 + }, + { + "epoch": 0.88, + "learning_rate": 3.5456324802346064e-07, + "loss": 0.9907, + "step": 2144 + }, + { + "epoch": 0.88, + "learning_rate": 3.521003957461999e-07, + "loss": 0.9897, + "step": 2145 + }, + { + "epoch": 0.88, + "learning_rate": 3.4964581478462654e-07, + "loss": 0.8389, + "step": 2146 + }, + { + "epoch": 0.88, + "learning_rate": 3.4719950950686807e-07, + "loss": 0.9419, + "step": 2147 + }, + { + "epoch": 0.88, + "learning_rate": 3.4476148426632215e-07, + "loss": 0.9785, + "step": 2148 + }, + { + "epoch": 0.89, + "learning_rate": 3.4233174340165486e-07, + "loss": 0.9507, + "step": 2149 + }, + { + "epoch": 0.89, + "learning_rate": 3.39910291236788e-07, + "loss": 0.9453, + "step": 2150 + }, + { + "epoch": 0.89, + "learning_rate": 3.374971320808906e-07, + "loss": 0.939, + "step": 2151 + }, + { + "epoch": 0.89, + "learning_rate": 3.3509227022837876e-07, + "loss": 0.9272, + "step": 2152 + }, + { + "epoch": 0.89, + "learning_rate": 3.326957099588984e-07, + "loss": 0.8945, + "step": 2153 + }, + { + "epoch": 0.89, + "learning_rate": 3.303074555373226e-07, + "loss": 0.9478, + "step": 2154 + }, + { + "epoch": 0.89, + "learning_rate": 3.27927511213747e-07, + "loss": 0.8594, + "step": 2155 + }, + { + "epoch": 0.89, + "learning_rate": 3.2555588122347434e-07, + "loss": 0.9722, + "step": 2156 + }, + { + "epoch": 0.89, + "learning_rate": 3.2319256978701365e-07, + "loss": 0.9155, + "step": 2157 + }, + { + "epoch": 0.89, + "learning_rate": 3.2083758111006946e-07, + "loss": 0.8486, + "step": 2158 + }, + { + "epoch": 0.89, + "learning_rate": 3.1849091938353725e-07, + "loss": 0.9873, + "step": 2159 + }, + { + "epoch": 0.89, + "learning_rate": 3.161525887834921e-07, + "loss": 0.9561, + "step": 2160 + }, + { + "epoch": 0.89, + "learning_rate": 3.1382259347118195e-07, + "loss": 0.9585, + "step": 2161 + }, + { + "epoch": 0.89, + "learning_rate": 3.1150093759302615e-07, + "loss": 0.8862, + "step": 2162 + }, + { + "epoch": 0.89, + "learning_rate": 3.091876252805981e-07, + "loss": 0.9038, + "step": 2163 + }, + { + "epoch": 0.89, + "learning_rate": 3.0688266065062535e-07, + "loss": 0.939, + "step": 2164 + }, + { + "epoch": 0.89, + "learning_rate": 3.045860478049811e-07, + "loss": 0.9126, + "step": 2165 + }, + { + "epoch": 0.89, + "learning_rate": 3.0229779083067455e-07, + "loss": 0.9253, + "step": 2166 + }, + { + "epoch": 0.89, + "learning_rate": 3.0001789379984547e-07, + "loss": 0.9277, + "step": 2167 + }, + { + "epoch": 0.89, + "learning_rate": 2.9774636076975507e-07, + "loss": 0.9648, + "step": 2168 + }, + { + "epoch": 0.89, + "learning_rate": 2.9548319578278306e-07, + "loss": 0.9165, + "step": 2169 + }, + { + "epoch": 0.89, + "learning_rate": 2.932284028664145e-07, + "loss": 0.9585, + "step": 2170 + }, + { + "epoch": 0.89, + "learning_rate": 2.9098198603323634e-07, + "loss": 0.8335, + "step": 2171 + }, + { + "epoch": 0.89, + "learning_rate": 2.887439492809319e-07, + "loss": 0.8774, + "step": 2172 + }, + { + "epoch": 0.89, + "learning_rate": 2.8651429659226906e-07, + "loss": 0.9199, + "step": 2173 + }, + { + "epoch": 0.9, + "learning_rate": 2.842930319350956e-07, + "loss": 0.8662, + "step": 2174 + }, + { + "epoch": 0.9, + "learning_rate": 2.8208015926233345e-07, + "loss": 0.8706, + "step": 2175 + }, + { + "epoch": 0.9, + "learning_rate": 2.7987568251197027e-07, + "loss": 0.9521, + "step": 2176 + }, + { + "epoch": 0.9, + "learning_rate": 2.7767960560705076e-07, + "loss": 1.0283, + "step": 2177 + }, + { + "epoch": 0.9, + "learning_rate": 2.754919324556721e-07, + "loss": 1.0107, + "step": 2178 + }, + { + "epoch": 0.9, + "learning_rate": 2.733126669509789e-07, + "loss": 0.9043, + "step": 2179 + }, + { + "epoch": 0.9, + "learning_rate": 2.711418129711496e-07, + "loss": 0.9668, + "step": 2180 + }, + { + "epoch": 0.9, + "learning_rate": 2.689793743793956e-07, + "loss": 0.9058, + "step": 2181 + }, + { + "epoch": 0.9, + "learning_rate": 2.6682535502395356e-07, + "loss": 0.9346, + "step": 2182 + }, + { + "epoch": 0.9, + "learning_rate": 2.6467975873807617e-07, + "loss": 0.9214, + "step": 2183 + }, + { + "epoch": 0.9, + "learning_rate": 2.6254258934002517e-07, + "loss": 1.0537, + "step": 2184 + }, + { + "epoch": 0.9, + "learning_rate": 2.604138506330689e-07, + "loss": 0.8384, + "step": 2185 + }, + { + "epoch": 0.9, + "learning_rate": 2.582935464054709e-07, + "loss": 0.8354, + "step": 2186 + }, + { + "epoch": 0.9, + "learning_rate": 2.561816804304845e-07, + "loss": 1.0078, + "step": 2187 + }, + { + "epoch": 0.9, + "learning_rate": 2.54078256466348e-07, + "loss": 0.9634, + "step": 2188 + }, + { + "epoch": 0.9, + "learning_rate": 2.519832782562753e-07, + "loss": 0.9399, + "step": 2189 + }, + { + "epoch": 0.9, + "learning_rate": 2.4989674952845046e-07, + "loss": 0.9341, + "step": 2190 + }, + { + "epoch": 0.9, + "learning_rate": 2.4781867399602033e-07, + "loss": 1.0225, + "step": 2191 + }, + { + "epoch": 0.9, + "learning_rate": 2.4574905535709183e-07, + "loss": 0.814, + "step": 2192 + }, + { + "epoch": 0.9, + "learning_rate": 2.436878972947176e-07, + "loss": 0.8926, + "step": 2193 + }, + { + "epoch": 0.9, + "learning_rate": 2.416352034768965e-07, + "loss": 0.9453, + "step": 2194 + }, + { + "epoch": 0.9, + "learning_rate": 2.395909775565652e-07, + "loss": 0.8318, + "step": 2195 + }, + { + "epoch": 0.9, + "learning_rate": 2.3755522317158998e-07, + "loss": 0.9351, + "step": 2196 + }, + { + "epoch": 0.9, + "learning_rate": 2.3552794394476053e-07, + "loss": 0.9224, + "step": 2197 + }, + { + "epoch": 0.91, + "learning_rate": 2.3350914348378606e-07, + "loss": 0.8247, + "step": 2198 + }, + { + "epoch": 0.91, + "learning_rate": 2.3149882538128664e-07, + "loss": 0.8857, + "step": 2199 + }, + { + "epoch": 0.91, + "learning_rate": 2.2949699321478612e-07, + "loss": 0.9692, + "step": 2200 + }, + { + "epoch": 0.91, + "learning_rate": 2.2750365054670765e-07, + "loss": 0.9854, + "step": 2201 + }, + { + "epoch": 0.91, + "learning_rate": 2.2551880092436807e-07, + "loss": 1.1465, + "step": 2202 + }, + { + "epoch": 0.91, + "learning_rate": 2.2354244787996748e-07, + "loss": 0.835, + "step": 2203 + }, + { + "epoch": 0.91, + "learning_rate": 2.2157459493058754e-07, + "loss": 0.9014, + "step": 2204 + }, + { + "epoch": 0.91, + "learning_rate": 2.1961524557818304e-07, + "loss": 0.875, + "step": 2205 + }, + { + "epoch": 0.91, + "learning_rate": 2.176644033095754e-07, + "loss": 0.8711, + "step": 2206 + }, + { + "epoch": 0.91, + "learning_rate": 2.1572207159644643e-07, + "loss": 0.9131, + "step": 2207 + }, + { + "epoch": 0.91, + "learning_rate": 2.1378825389533508e-07, + "loss": 0.8721, + "step": 2208 + }, + { + "epoch": 0.91, + "learning_rate": 2.1186295364762687e-07, + "loss": 0.9277, + "step": 2209 + }, + { + "epoch": 0.91, + "learning_rate": 2.0994617427954945e-07, + "loss": 0.958, + "step": 2210 + }, + { + "epoch": 0.91, + "learning_rate": 2.080379192021681e-07, + "loss": 0.959, + "step": 2211 + }, + { + "epoch": 0.91, + "learning_rate": 2.0613819181137918e-07, + "loss": 1.0, + "step": 2212 + }, + { + "epoch": 0.91, + "learning_rate": 2.042469954879006e-07, + "loss": 0.9351, + "step": 2213 + }, + { + "epoch": 0.91, + "learning_rate": 2.0236433359727082e-07, + "loss": 0.8931, + "step": 2214 + }, + { + "epoch": 0.91, + "learning_rate": 2.0049020948984033e-07, + "loss": 0.9316, + "step": 2215 + }, + { + "epoch": 0.91, + "learning_rate": 1.986246265007652e-07, + "loss": 0.8613, + "step": 2216 + }, + { + "epoch": 0.91, + "learning_rate": 1.9676758795000194e-07, + "loss": 0.9653, + "step": 2217 + }, + { + "epoch": 0.91, + "learning_rate": 1.9491909714230207e-07, + "loss": 0.9854, + "step": 2218 + }, + { + "epoch": 0.91, + "learning_rate": 1.9307915736720585e-07, + "loss": 0.9858, + "step": 2219 + }, + { + "epoch": 0.91, + "learning_rate": 1.9124777189903575e-07, + "loss": 0.8774, + "step": 2220 + }, + { + "epoch": 0.91, + "learning_rate": 1.8942494399688983e-07, + "loss": 0.8555, + "step": 2221 + }, + { + "epoch": 0.92, + "learning_rate": 1.8761067690464097e-07, + "loss": 0.9585, + "step": 2222 + }, + { + "epoch": 0.92, + "learning_rate": 1.8580497385092376e-07, + "loss": 0.897, + "step": 2223 + }, + { + "epoch": 0.92, + "learning_rate": 1.8400783804913335e-07, + "loss": 1.0347, + "step": 2224 + }, + { + "epoch": 0.92, + "learning_rate": 1.822192726974209e-07, + "loss": 0.916, + "step": 2225 + }, + { + "epoch": 0.92, + "learning_rate": 1.8043928097868312e-07, + "loss": 0.9731, + "step": 2226 + }, + { + "epoch": 0.92, + "learning_rate": 1.7866786606055953e-07, + "loss": 0.813, + "step": 2227 + }, + { + "epoch": 0.92, + "learning_rate": 1.7690503109542844e-07, + "loss": 0.877, + "step": 2228 + }, + { + "epoch": 0.92, + "learning_rate": 1.7515077922039715e-07, + "loss": 0.8555, + "step": 2229 + }, + { + "epoch": 0.92, + "learning_rate": 1.7340511355730006e-07, + "loss": 0.8086, + "step": 2230 + }, + { + "epoch": 0.92, + "learning_rate": 1.7166803721269109e-07, + "loss": 0.9878, + "step": 2231 + }, + { + "epoch": 0.92, + "learning_rate": 1.6993955327783919e-07, + "loss": 0.9312, + "step": 2232 + }, + { + "epoch": 0.92, + "learning_rate": 1.6821966482872264e-07, + "loss": 0.8096, + "step": 2233 + }, + { + "epoch": 0.92, + "learning_rate": 1.6650837492602155e-07, + "loss": 1.0288, + "step": 2234 + }, + { + "epoch": 0.92, + "learning_rate": 1.6480568661511765e-07, + "loss": 0.9067, + "step": 2235 + }, + { + "epoch": 0.92, + "learning_rate": 1.6311160292608208e-07, + "loss": 0.8721, + "step": 2236 + }, + { + "epoch": 0.92, + "learning_rate": 1.6142612687367387e-07, + "loss": 1.0273, + "step": 2237 + }, + { + "epoch": 0.92, + "learning_rate": 1.5974926145733705e-07, + "loss": 0.959, + "step": 2238 + }, + { + "epoch": 0.92, + "learning_rate": 1.5808100966118844e-07, + "loss": 0.9976, + "step": 2239 + }, + { + "epoch": 0.92, + "learning_rate": 1.5642137445401885e-07, + "loss": 0.8203, + "step": 2240 + }, + { + "epoch": 0.92, + "learning_rate": 1.5477035878928293e-07, + "loss": 0.8779, + "step": 2241 + }, + { + "epoch": 0.92, + "learning_rate": 1.5312796560509935e-07, + "loss": 0.9624, + "step": 2242 + }, + { + "epoch": 0.92, + "learning_rate": 1.5149419782423902e-07, + "loss": 0.9253, + "step": 2243 + }, + { + "epoch": 0.92, + "learning_rate": 1.4986905835412402e-07, + "loss": 0.9175, + "step": 2244 + }, + { + "epoch": 0.92, + "learning_rate": 1.4825255008682483e-07, + "loss": 1.0967, + "step": 2245 + }, + { + "epoch": 0.93, + "learning_rate": 1.466446758990475e-07, + "loss": 0.9683, + "step": 2246 + }, + { + "epoch": 0.93, + "learning_rate": 1.450454386521355e-07, + "loss": 0.8955, + "step": 2247 + }, + { + "epoch": 0.93, + "learning_rate": 1.4345484119206222e-07, + "loss": 0.9487, + "step": 2248 + }, + { + "epoch": 0.93, + "learning_rate": 1.4187288634942454e-07, + "loss": 1.0107, + "step": 2249 + }, + { + "epoch": 0.93, + "learning_rate": 1.402995769394405e-07, + "loss": 0.8823, + "step": 2250 + }, + { + "epoch": 0.93, + "learning_rate": 1.3873491576194165e-07, + "loss": 0.9604, + "step": 2251 + }, + { + "epoch": 0.93, + "learning_rate": 1.371789056013706e-07, + "loss": 0.8652, + "step": 2252 + }, + { + "epoch": 0.93, + "learning_rate": 1.3563154922677347e-07, + "loss": 1.0527, + "step": 2253 + }, + { + "epoch": 0.93, + "learning_rate": 1.34092849391797e-07, + "loss": 0.9062, + "step": 2254 + }, + { + "epoch": 0.93, + "learning_rate": 1.3256280883468309e-07, + "loss": 0.8872, + "step": 2255 + }, + { + "epoch": 0.93, + "learning_rate": 1.3104143027826365e-07, + "loss": 1.002, + "step": 2256 + }, + { + "epoch": 0.93, + "learning_rate": 1.295287164299547e-07, + "loss": 0.8774, + "step": 2257 + }, + { + "epoch": 0.93, + "learning_rate": 1.28024669981755e-07, + "loss": 1.0347, + "step": 2258 + }, + { + "epoch": 0.93, + "learning_rate": 1.2652929361023635e-07, + "loss": 0.8184, + "step": 2259 + }, + { + "epoch": 0.93, + "learning_rate": 1.2504258997654395e-07, + "loss": 0.9453, + "step": 2260 + }, + { + "epoch": 0.93, + "learning_rate": 1.2356456172638642e-07, + "loss": 0.8989, + "step": 2261 + }, + { + "epoch": 0.93, + "learning_rate": 1.22095211490037e-07, + "loss": 0.9155, + "step": 2262 + }, + { + "epoch": 0.93, + "learning_rate": 1.206345418823235e-07, + "loss": 0.9854, + "step": 2263 + }, + { + "epoch": 0.93, + "learning_rate": 1.1918255550262548e-07, + "loss": 0.8564, + "step": 2264 + }, + { + "epoch": 0.93, + "learning_rate": 1.1773925493487159e-07, + "loss": 0.8672, + "step": 2265 + }, + { + "epoch": 0.93, + "learning_rate": 1.1630464274753284e-07, + "loss": 0.9844, + "step": 2266 + }, + { + "epoch": 0.93, + "learning_rate": 1.1487872149361811e-07, + "loss": 1.063, + "step": 2267 + }, + { + "epoch": 0.93, + "learning_rate": 1.1346149371067094e-07, + "loss": 0.9785, + "step": 2268 + }, + { + "epoch": 0.93, + "learning_rate": 1.1205296192076275e-07, + "loss": 0.9707, + "step": 2269 + }, + { + "epoch": 0.93, + "learning_rate": 1.1065312863049071e-07, + "loss": 0.9463, + "step": 2270 + }, + { + "epoch": 0.94, + "learning_rate": 1.0926199633097156e-07, + "loss": 0.8843, + "step": 2271 + }, + { + "epoch": 0.94, + "learning_rate": 1.0787956749784002e-07, + "loss": 0.8896, + "step": 2272 + }, + { + "epoch": 0.94, + "learning_rate": 1.065058445912398e-07, + "loss": 0.8091, + "step": 2273 + }, + { + "epoch": 0.94, + "learning_rate": 1.051408300558221e-07, + "loss": 0.8647, + "step": 2274 + }, + { + "epoch": 0.94, + "learning_rate": 1.037845263207421e-07, + "loss": 0.9878, + "step": 2275 + }, + { + "epoch": 0.94, + "learning_rate": 1.0243693579965298e-07, + "loss": 0.8896, + "step": 2276 + }, + { + "epoch": 0.94, + "learning_rate": 1.0109806089070085e-07, + "loss": 1.0127, + "step": 2277 + }, + { + "epoch": 0.94, + "learning_rate": 9.976790397652314e-08, + "loss": 0.9209, + "step": 2278 + }, + { + "epoch": 0.94, + "learning_rate": 9.844646742424247e-08, + "loss": 0.8784, + "step": 2279 + }, + { + "epoch": 0.94, + "learning_rate": 9.713375358546273e-08, + "loss": 0.9194, + "step": 2280 + }, + { + "epoch": 0.94, + "learning_rate": 9.582976479626471e-08, + "loss": 0.9473, + "step": 2281 + }, + { + "epoch": 0.94, + "learning_rate": 9.453450337720271e-08, + "loss": 1.0029, + "step": 2282 + }, + { + "epoch": 0.94, + "learning_rate": 9.324797163330012e-08, + "loss": 0.96, + "step": 2283 + }, + { + "epoch": 0.94, + "learning_rate": 9.197017185404444e-08, + "loss": 1.0117, + "step": 2284 + }, + { + "epoch": 0.94, + "learning_rate": 9.070110631338502e-08, + "loss": 0.8887, + "step": 2285 + }, + { + "epoch": 0.94, + "learning_rate": 8.944077726972644e-08, + "loss": 0.8545, + "step": 2286 + }, + { + "epoch": 0.94, + "learning_rate": 8.818918696592737e-08, + "loss": 0.9385, + "step": 2287 + }, + { + "epoch": 0.94, + "learning_rate": 8.694633762929505e-08, + "loss": 0.8242, + "step": 2288 + }, + { + "epoch": 0.94, + "learning_rate": 8.571223147158081e-08, + "loss": 1.0195, + "step": 2289 + }, + { + "epoch": 0.94, + "learning_rate": 8.448687068897676e-08, + "loss": 0.9321, + "step": 2290 + }, + { + "epoch": 0.94, + "learning_rate": 8.327025746211137e-08, + "loss": 0.9355, + "step": 2291 + }, + { + "epoch": 0.94, + "learning_rate": 8.206239395604832e-08, + "loss": 0.9639, + "step": 2292 + }, + { + "epoch": 0.94, + "learning_rate": 8.086328232027874e-08, + "loss": 0.9731, + "step": 2293 + }, + { + "epoch": 0.94, + "learning_rate": 7.967292468871846e-08, + "loss": 0.9272, + "step": 2294 + }, + { + "epoch": 0.95, + "learning_rate": 7.849132317970687e-08, + "loss": 0.9487, + "step": 2295 + }, + { + "epoch": 0.95, + "learning_rate": 7.731847989599916e-08, + "loss": 0.9712, + "step": 2296 + }, + { + "epoch": 0.95, + "learning_rate": 7.615439692476578e-08, + "loss": 0.9316, + "step": 2297 + }, + { + "epoch": 0.95, + "learning_rate": 7.499907633758797e-08, + "loss": 1.0112, + "step": 2298 + }, + { + "epoch": 0.95, + "learning_rate": 7.385252019045164e-08, + "loss": 0.9561, + "step": 2299 + }, + { + "epoch": 0.95, + "learning_rate": 7.271473052374744e-08, + "loss": 0.9521, + "step": 2300 + }, + { + "epoch": 0.95, + "learning_rate": 7.15857093622635e-08, + "loss": 0.9438, + "step": 2301 + }, + { + "epoch": 0.95, + "learning_rate": 7.046545871518651e-08, + "loss": 0.8311, + "step": 2302 + }, + { + "epoch": 0.95, + "learning_rate": 6.935398057609344e-08, + "loss": 0.9429, + "step": 2303 + }, + { + "epoch": 0.95, + "learning_rate": 6.825127692294875e-08, + "loss": 0.9023, + "step": 2304 + }, + { + "epoch": 0.95, + "learning_rate": 6.715734971810439e-08, + "loss": 0.8701, + "step": 2305 + }, + { + "epoch": 0.95, + "learning_rate": 6.607220090829314e-08, + "loss": 0.8828, + "step": 2306 + }, + { + "epoch": 0.95, + "learning_rate": 6.49958324246247e-08, + "loss": 0.9702, + "step": 2307 + }, + { + "epoch": 0.95, + "learning_rate": 6.39282461825852e-08, + "loss": 0.8779, + "step": 2308 + }, + { + "epoch": 0.95, + "learning_rate": 6.2869444082031e-08, + "loss": 0.8955, + "step": 2309 + }, + { + "epoch": 0.95, + "learning_rate": 6.181942800718654e-08, + "loss": 0.9985, + "step": 2310 + }, + { + "epoch": 0.95, + "learning_rate": 6.077819982664101e-08, + "loss": 0.9653, + "step": 2311 + }, + { + "epoch": 0.95, + "learning_rate": 5.974576139334442e-08, + "loss": 0.8682, + "step": 2312 + }, + { + "epoch": 0.95, + "learning_rate": 5.8722114544605966e-08, + "loss": 0.9941, + "step": 2313 + }, + { + "epoch": 0.95, + "learning_rate": 5.7707261102086795e-08, + "loss": 0.894, + "step": 2314 + }, + { + "epoch": 0.95, + "learning_rate": 5.670120287180281e-08, + "loss": 0.7964, + "step": 2315 + }, + { + "epoch": 0.95, + "learning_rate": 5.5703941644116297e-08, + "loss": 0.9009, + "step": 2316 + }, + { + "epoch": 0.95, + "learning_rate": 5.471547919373377e-08, + "loss": 0.8643, + "step": 2317 + }, + { + "epoch": 0.95, + "learning_rate": 5.373581727970589e-08, + "loss": 0.8735, + "step": 2318 + }, + { + "epoch": 0.96, + "learning_rate": 5.2764957645419775e-08, + "loss": 0.8604, + "step": 2319 + }, + { + "epoch": 0.96, + "learning_rate": 5.18029020185995e-08, + "loss": 0.9399, + "step": 2320 + }, + { + "epoch": 0.96, + "learning_rate": 5.084965211130166e-08, + "loss": 1.0005, + "step": 2321 + }, + { + "epoch": 0.96, + "learning_rate": 4.9905209619912074e-08, + "loss": 0.9551, + "step": 2322 + }, + { + "epoch": 0.96, + "learning_rate": 4.896957622514298e-08, + "loss": 0.8008, + "step": 2323 + }, + { + "epoch": 0.96, + "learning_rate": 4.8042753592029145e-08, + "loss": 0.8892, + "step": 2324 + }, + { + "epoch": 0.96, + "learning_rate": 4.712474336992845e-08, + "loss": 0.9902, + "step": 2325 + }, + { + "epoch": 0.96, + "learning_rate": 4.6215547192514085e-08, + "loss": 0.9922, + "step": 2326 + }, + { + "epoch": 0.96, + "learning_rate": 4.5315166677774025e-08, + "loss": 0.9043, + "step": 2327 + }, + { + "epoch": 0.96, + "learning_rate": 4.442360342800989e-08, + "loss": 1.0396, + "step": 2328 + }, + { + "epoch": 0.96, + "learning_rate": 4.354085902983085e-08, + "loss": 0.9761, + "step": 2329 + }, + { + "epoch": 0.96, + "learning_rate": 4.266693505415143e-08, + "loss": 1.0005, + "step": 2330 + }, + { + "epoch": 0.96, + "learning_rate": 4.1801833056191453e-08, + "loss": 1.0723, + "step": 2331 + }, + { + "epoch": 0.96, + "learning_rate": 4.094555457547e-08, + "loss": 1.0039, + "step": 2332 + }, + { + "epoch": 0.96, + "learning_rate": 4.009810113580426e-08, + "loss": 0.9463, + "step": 2333 + }, + { + "epoch": 0.96, + "learning_rate": 3.925947424530618e-08, + "loss": 0.8721, + "step": 2334 + }, + { + "epoch": 0.96, + "learning_rate": 3.8429675396381985e-08, + "loss": 0.9326, + "step": 2335 + }, + { + "epoch": 0.96, + "learning_rate": 3.760870606572487e-08, + "loss": 0.9761, + "step": 2336 + }, + { + "epoch": 0.96, + "learning_rate": 3.679656771431728e-08, + "loss": 0.959, + "step": 2337 + }, + { + "epoch": 0.96, + "learning_rate": 3.599326178742535e-08, + "loss": 0.9326, + "step": 2338 + }, + { + "epoch": 0.96, + "learning_rate": 3.519878971459723e-08, + "loss": 0.8296, + "step": 2339 + }, + { + "epoch": 0.96, + "learning_rate": 3.441315290966085e-08, + "loss": 0.8506, + "step": 2340 + }, + { + "epoch": 0.96, + "learning_rate": 3.3636352770720636e-08, + "loss": 1.1372, + "step": 2341 + }, + { + "epoch": 0.96, + "learning_rate": 3.2868390680156345e-08, + "loss": 1.0005, + "step": 2342 + }, + { + "epoch": 0.96, + "learning_rate": 3.210926800461811e-08, + "loss": 0.8926, + "step": 2343 + }, + { + "epoch": 0.97, + "learning_rate": 3.1358986095026964e-08, + "loss": 0.8838, + "step": 2344 + }, + { + "epoch": 0.97, + "learning_rate": 3.0617546286570434e-08, + "loss": 0.9468, + "step": 2345 + }, + { + "epoch": 0.97, + "learning_rate": 2.988494989870139e-08, + "loss": 0.9648, + "step": 2346 + }, + { + "epoch": 0.97, + "learning_rate": 2.916119823513419e-08, + "loss": 0.9062, + "step": 2347 + }, + { + "epoch": 0.97, + "learning_rate": 2.8446292583844126e-08, + "loss": 0.9243, + "step": 2348 + }, + { + "epoch": 0.97, + "learning_rate": 2.774023421706462e-08, + "loss": 0.9805, + "step": 2349 + }, + { + "epoch": 0.97, + "learning_rate": 2.7043024391282814e-08, + "loss": 1.0591, + "step": 2350 + }, + { + "epoch": 0.97, + "learning_rate": 2.635466434724121e-08, + "loss": 1.0107, + "step": 2351 + }, + { + "epoch": 0.97, + "learning_rate": 2.567515530993214e-08, + "loss": 0.9355, + "step": 2352 + }, + { + "epoch": 0.97, + "learning_rate": 2.500449848859776e-08, + "loss": 0.9004, + "step": 2353 + }, + { + "epoch": 0.97, + "learning_rate": 2.4342695076725598e-08, + "loss": 0.9619, + "step": 2354 + }, + { + "epoch": 0.97, + "learning_rate": 2.3689746252049117e-08, + "loss": 0.9819, + "step": 2355 + }, + { + "epoch": 0.97, + "learning_rate": 2.3045653176544392e-08, + "loss": 0.9399, + "step": 2356 + }, + { + "epoch": 0.97, + "learning_rate": 2.2410416996426766e-08, + "loss": 0.8779, + "step": 2357 + }, + { + "epoch": 0.97, + "learning_rate": 2.178403884215141e-08, + "loss": 0.8872, + "step": 2358 + }, + { + "epoch": 0.97, + "learning_rate": 2.1166519828408892e-08, + "loss": 0.8813, + "step": 2359 + }, + { + "epoch": 0.97, + "learning_rate": 2.0557861054124052e-08, + "loss": 0.8804, + "step": 2360 + }, + { + "epoch": 0.97, + "learning_rate": 1.9958063602455445e-08, + "loss": 1.0181, + "step": 2361 + }, + { + "epoch": 0.97, + "learning_rate": 1.936712854079148e-08, + "loss": 0.8882, + "step": 2362 + }, + { + "epoch": 0.97, + "learning_rate": 1.8785056920748723e-08, + "loss": 0.9106, + "step": 2363 + }, + { + "epoch": 0.97, + "learning_rate": 1.821184977817081e-08, + "loss": 0.8979, + "step": 2364 + }, + { + "epoch": 0.97, + "learning_rate": 1.7647508133127324e-08, + "loss": 0.936, + "step": 2365 + }, + { + "epoch": 0.97, + "learning_rate": 1.709203298990991e-08, + "loss": 0.8862, + "step": 2366 + }, + { + "epoch": 0.97, + "learning_rate": 1.654542533703174e-08, + "loss": 0.7925, + "step": 2367 + }, + { + "epoch": 0.98, + "learning_rate": 1.6007686147225254e-08, + "loss": 0.9219, + "step": 2368 + }, + { + "epoch": 0.98, + "learning_rate": 1.5478816377441088e-08, + "loss": 1.0044, + "step": 2369 + }, + { + "epoch": 0.98, + "learning_rate": 1.4958816968846935e-08, + "loss": 0.9053, + "step": 2370 + }, + { + "epoch": 0.98, + "learning_rate": 1.4447688846823127e-08, + "loss": 0.9951, + "step": 2371 + }, + { + "epoch": 0.98, + "learning_rate": 1.3945432920964286e-08, + "loss": 0.9009, + "step": 2372 + }, + { + "epoch": 0.98, + "learning_rate": 1.3452050085075441e-08, + "loss": 0.9189, + "step": 2373 + }, + { + "epoch": 0.98, + "learning_rate": 1.2967541217172031e-08, + "loss": 0.9141, + "step": 2374 + }, + { + "epoch": 0.98, + "learning_rate": 1.2491907179476015e-08, + "loss": 1.0103, + "step": 2375 + }, + { + "epoch": 0.98, + "learning_rate": 1.2025148818418097e-08, + "loss": 0.9077, + "step": 2376 + }, + { + "epoch": 0.98, + "learning_rate": 1.1567266964631618e-08, + "loss": 0.9634, + "step": 2377 + }, + { + "epoch": 0.98, + "learning_rate": 1.1118262432955329e-08, + "loss": 0.9785, + "step": 2378 + }, + { + "epoch": 0.98, + "learning_rate": 1.0678136022429509e-08, + "loss": 0.998, + "step": 2379 + }, + { + "epoch": 0.98, + "learning_rate": 1.024688851629374e-08, + "loss": 0.9028, + "step": 2380 + }, + { + "epoch": 0.98, + "learning_rate": 9.82452068198969e-09, + "loss": 0.9526, + "step": 2381 + }, + { + "epoch": 0.98, + "learning_rate": 9.411033271154447e-09, + "loss": 0.8057, + "step": 2382 + }, + { + "epoch": 0.98, + "learning_rate": 9.006427019622177e-09, + "loss": 0.8896, + "step": 2383 + }, + { + "epoch": 0.98, + "learning_rate": 8.610702647423586e-09, + "loss": 0.8574, + "step": 2384 + }, + { + "epoch": 0.98, + "learning_rate": 8.223860858781463e-09, + "loss": 0.9175, + "step": 2385 + }, + { + "epoch": 0.98, + "learning_rate": 7.84590234211291e-09, + "loss": 0.9189, + "step": 2386 + }, + { + "epoch": 0.98, + "learning_rate": 7.476827770025452e-09, + "loss": 0.9639, + "step": 2387 + }, + { + "epoch": 0.98, + "learning_rate": 7.116637799317594e-09, + "loss": 0.8862, + "step": 2388 + }, + { + "epoch": 0.98, + "learning_rate": 6.765333070976599e-09, + "loss": 0.8848, + "step": 2389 + }, + { + "epoch": 0.98, + "learning_rate": 6.422914210177933e-09, + "loss": 0.8398, + "step": 2390 + }, + { + "epoch": 0.98, + "learning_rate": 6.089381826284158e-09, + "loss": 0.9507, + "step": 2391 + }, + { + "epoch": 0.99, + "learning_rate": 5.7647365128421505e-09, + "loss": 0.9341, + "step": 2392 + }, + { + "epoch": 0.99, + "learning_rate": 5.448978847585884e-09, + "loss": 1.0654, + "step": 2393 + }, + { + "epoch": 0.99, + "learning_rate": 5.142109392431427e-09, + "loss": 0.8745, + "step": 2394 + }, + { + "epoch": 0.99, + "learning_rate": 4.844128693477501e-09, + "loss": 0.9434, + "step": 2395 + }, + { + "epoch": 0.99, + "learning_rate": 4.555037281006036e-09, + "loss": 0.915, + "step": 2396 + }, + { + "epoch": 0.99, + "learning_rate": 4.2748356694777285e-09, + "loss": 0.9502, + "step": 2397 + }, + { + "epoch": 0.99, + "learning_rate": 4.003524357534261e-09, + "loss": 0.8428, + "step": 2398 + }, + { + "epoch": 0.99, + "learning_rate": 3.7411038279971945e-09, + "loss": 1.0234, + "step": 2399 + }, + { + "epoch": 0.99, + "learning_rate": 3.487574547863526e-09, + "loss": 0.9365, + "step": 2400 + }, + { + "epoch": 0.99, + "learning_rate": 3.2429369683112387e-09, + "loss": 0.9497, + "step": 2401 + }, + { + "epoch": 0.99, + "learning_rate": 3.0071915246909776e-09, + "loss": 0.9297, + "step": 2402 + }, + { + "epoch": 0.99, + "learning_rate": 2.7803386365321537e-09, + "loss": 0.8452, + "step": 2403 + }, + { + "epoch": 0.99, + "learning_rate": 2.5623787075373942e-09, + "loss": 0.9209, + "step": 2404 + }, + { + "epoch": 0.99, + "learning_rate": 2.353312125584761e-09, + "loss": 0.9512, + "step": 2405 + }, + { + "epoch": 0.99, + "learning_rate": 2.1531392627244243e-09, + "loss": 0.9131, + "step": 2406 + }, + { + "epoch": 0.99, + "learning_rate": 1.961860475180877e-09, + "loss": 0.9248, + "step": 2407 + }, + { + "epoch": 0.99, + "learning_rate": 1.7794761033496089e-09, + "loss": 0.9092, + "step": 2408 + }, + { + "epoch": 0.99, + "learning_rate": 1.6059864717993256e-09, + "loss": 0.8955, + "step": 2409 + }, + { + "epoch": 0.99, + "learning_rate": 1.4413918892686173e-09, + "loss": 0.8442, + "step": 2410 + }, + { + "epoch": 0.99, + "learning_rate": 1.2856926486665145e-09, + "loss": 0.8481, + "step": 2411 + }, + { + "epoch": 0.99, + "learning_rate": 1.1388890270730423e-09, + "loss": 0.9399, + "step": 2412 + }, + { + "epoch": 0.99, + "learning_rate": 1.0009812857370016e-09, + "loss": 0.9414, + "step": 2413 + }, + { + "epoch": 0.99, + "learning_rate": 8.719696700765223e-10, + "loss": 0.8647, + "step": 2414 + }, + { + "epoch": 0.99, + "learning_rate": 7.518544096779545e-10, + "loss": 0.9414, + "step": 2415 + }, + { + "epoch": 1.0, + "learning_rate": 6.40635718296978e-10, + "loss": 0.8828, + "step": 2416 + }, + { + "epoch": 1.0, + "learning_rate": 5.383137938552718e-10, + "loss": 0.9102, + "step": 2417 + }, + { + "epoch": 1.0, + "learning_rate": 4.448888184432898e-10, + "loss": 1.0342, + "step": 2418 + }, + { + "epoch": 1.0, + "learning_rate": 3.603609583191503e-10, + "loss": 0.9604, + "step": 2419 + }, + { + "epoch": 1.0, + "learning_rate": 2.847303639064158e-10, + "loss": 0.9634, + "step": 2420 + }, + { + "epoch": 1.0, + "learning_rate": 2.1799716979575836e-10, + "loss": 0.9917, + "step": 2421 + }, + { + "epoch": 1.0, + "learning_rate": 1.6016149474440412e-10, + "loss": 0.8525, + "step": 2422 + }, + { + "epoch": 1.0, + "learning_rate": 1.1122344167613374e-10, + "loss": 0.9614, + "step": 2423 + }, + { + "epoch": 1.0, + "learning_rate": 7.118309768017196e-11, + "loss": 0.9102, + "step": 2424 + }, + { + "epoch": 1.0, + "learning_rate": 4.004053401063246e-11, + "loss": 0.8062, + "step": 2425 + }, + { + "epoch": 1.0, + "learning_rate": 1.7795806089293545e-11, + "loss": 0.9956, + "step": 2426 + }, + { + "epoch": 1.0, + "learning_rate": 4.4489535017122606e-12, + "loss": 0.8955, + "step": 2427 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 0.9678, + "step": 2428 + }, + { + "epoch": 1.0, + "step": 2428, + "total_flos": 35620199940096.0, + "train_loss": 0.9926470233345346, + "train_runtime": 12260.4584, + "train_samples_per_second": 4.751, + "train_steps_per_second": 0.198 + } + ], + "logging_steps": 1.0, + "max_steps": 2428, + "num_train_epochs": 1, + "save_steps": 50000, + "total_flos": 35620199940096.0, + "trial_name": null, + "trial_params": null +}