diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,43884 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 7309, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 4.5454545454545455e-06, + "loss": 10.8205, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 9.090909090909091e-06, + "loss": 10.7294, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 1.3636363636363637e-05, + "loss": 10.2463, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 1.8181818181818182e-05, + "loss": 9.3174, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 2.272727272727273e-05, + "loss": 8.7481, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 2.7272727272727273e-05, + "loss": 9.0121, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 3.1818181818181814e-05, + "loss": 8.5476, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 3.6363636363636364e-05, + "loss": 7.9042, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 4.090909090909091e-05, + "loss": 7.2121, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 4.545454545454546e-05, + "loss": 6.6885, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 5e-05, + "loss": 6.2664, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 5.4545454545454546e-05, + "loss": 5.9377, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 5.909090909090909e-05, + "loss": 5.9705, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 6.363636363636363e-05, + "loss": 5.7789, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 6.818181818181818e-05, + "loss": 5.5084, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 7.272727272727273e-05, + "loss": 5.4386, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 7.727272727272727e-05, + "loss": 5.6003, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 8.181818181818182e-05, + "loss": 5.2592, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 8.636363636363636e-05, + "loss": 5.3642, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 9.090909090909092e-05, + "loss": 5.0485, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 9.545454545454546e-05, + "loss": 5.1937, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001, + "loss": 5.0947, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 0.00010454545454545454, + "loss": 4.8366, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 0.00010909090909090909, + "loss": 4.7965, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 0.00011363636363636364, + "loss": 4.8484, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 0.00011818181818181818, + "loss": 4.9717, + "step": 26 + }, + { + "epoch": 0.0, + "learning_rate": 0.00012272727272727272, + "loss": 4.837, + "step": 27 + }, + { + "epoch": 0.0, + "learning_rate": 0.00012727272727272725, + "loss": 4.6255, + "step": 28 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001318181818181818, + "loss": 4.6368, + "step": 29 + }, + { + "epoch": 0.0, + "learning_rate": 0.00013636363636363637, + "loss": 4.5921, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001409090909090909, + "loss": 4.6467, + "step": 31 + }, + { + "epoch": 0.0, + "learning_rate": 0.00014545454545454546, + "loss": 4.5508, + "step": 32 + }, + { + "epoch": 0.0, + "learning_rate": 0.00015, + "loss": 4.5712, + "step": 33 + }, + { + "epoch": 0.0, + "learning_rate": 0.00015454545454545454, + "loss": 4.2924, + "step": 34 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001590909090909091, + "loss": 4.4814, + "step": 35 + }, + { + "epoch": 0.0, + "learning_rate": 0.00016363636363636363, + "loss": 4.2961, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001681818181818182, + "loss": 4.28, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 0.00017272727272727272, + "loss": 4.3724, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 0.00017727272727272728, + "loss": 4.3964, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 0.00018181818181818183, + "loss": 4.1129, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 0.00018636363636363636, + "loss": 4.0768, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019090909090909092, + "loss": 4.1871, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019545454545454548, + "loss": 4.161, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 4.3697, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 0.00020454545454545457, + "loss": 4.0646, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 0.00020909090909090907, + "loss": 3.9815, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 0.00021363636363636363, + "loss": 4.0339, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 0.00021818181818181818, + "loss": 4.032, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 0.00022272727272727272, + "loss": 3.993, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 0.00022727272727272727, + "loss": 4.1206, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 0.00023181818181818183, + "loss": 3.8883, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 0.00023636363636363636, + "loss": 3.7391, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 0.00024090909090909092, + "loss": 3.8651, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 0.00024545454545454545, + "loss": 3.7375, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 0.00025, + "loss": 3.5616, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002545454545454545, + "loss": 3.543, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002590909090909091, + "loss": 3.7165, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002636363636363636, + "loss": 3.4769, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002681818181818182, + "loss": 3.641, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 0.00027272727272727274, + "loss": 3.5868, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002772727272727273, + "loss": 3.47, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002818181818181818, + "loss": 3.5154, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 0.00028636363636363636, + "loss": 3.6115, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002909090909090909, + "loss": 3.6548, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 0.00029545454545454547, + "loss": 3.6292, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 0.0003, + "loss": 3.567, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 0.0003045454545454546, + "loss": 3.4438, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 0.0003090909090909091, + "loss": 3.5862, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 0.00031363636363636365, + "loss": 3.4379, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 0.0003181818181818182, + "loss": 3.5734, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 0.00032272727272727276, + "loss": 3.4958, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 0.00032727272727272726, + "loss": 3.5345, + "step": 72 + }, + { + "epoch": 0.01, + "learning_rate": 0.0003318181818181819, + "loss": 3.4996, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 0.0003363636363636364, + "loss": 3.6252, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 0.0003409090909090909, + "loss": 3.5475, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 0.00034545454545454544, + "loss": 3.4351, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 0.00035, + "loss": 3.6096, + "step": 77 + }, + { + "epoch": 0.01, + "learning_rate": 0.00035454545454545455, + "loss": 3.324, + "step": 78 + }, + { + "epoch": 0.01, + "learning_rate": 0.00035909090909090906, + "loss": 3.4085, + "step": 79 + }, + { + "epoch": 0.01, + "learning_rate": 0.00036363636363636367, + "loss": 3.3894, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 0.00036818181818181817, + "loss": 3.3863, + "step": 81 + }, + { + "epoch": 0.01, + "learning_rate": 0.00037272727272727273, + "loss": 3.4806, + "step": 82 + }, + { + "epoch": 0.01, + "learning_rate": 0.0003772727272727273, + "loss": 3.4038, + "step": 83 + }, + { + "epoch": 0.01, + "learning_rate": 0.00038181818181818184, + "loss": 3.3773, + "step": 84 + }, + { + "epoch": 0.01, + "learning_rate": 0.00038636363636363635, + "loss": 3.4236, + "step": 85 + }, + { + "epoch": 0.01, + "learning_rate": 0.00039090909090909096, + "loss": 3.2357, + "step": 86 + }, + { + "epoch": 0.01, + "learning_rate": 0.00039545454545454546, + "loss": 3.4037, + "step": 87 + }, + { + "epoch": 0.01, + "learning_rate": 0.0004, + "loss": 3.3351, + "step": 88 + }, + { + "epoch": 0.01, + "learning_rate": 0.0004045454545454546, + "loss": 3.34, + "step": 89 + }, + { + "epoch": 0.01, + "learning_rate": 0.00040909090909090913, + "loss": 3.4174, + "step": 90 + }, + { + "epoch": 0.01, + "learning_rate": 0.00041363636363636364, + "loss": 3.3644, + "step": 91 + }, + { + "epoch": 0.01, + "learning_rate": 0.00041818181818181814, + "loss": 3.4968, + "step": 92 + }, + { + "epoch": 0.01, + "learning_rate": 0.00042272727272727275, + "loss": 3.3806, + "step": 93 + }, + { + "epoch": 0.01, + "learning_rate": 0.00042727272727272726, + "loss": 3.3374, + "step": 94 + }, + { + "epoch": 0.01, + "learning_rate": 0.0004318181818181818, + "loss": 3.2532, + "step": 95 + }, + { + "epoch": 0.01, + "learning_rate": 0.00043636363636363637, + "loss": 3.4145, + "step": 96 + }, + { + "epoch": 0.01, + "learning_rate": 0.00044090909090909093, + "loss": 3.3584, + "step": 97 + }, + { + "epoch": 0.01, + "learning_rate": 0.00044545454545454543, + "loss": 3.352, + "step": 98 + }, + { + "epoch": 0.01, + "learning_rate": 0.00045000000000000004, + "loss": 3.2563, + "step": 99 + }, + { + "epoch": 0.01, + "learning_rate": 0.00045454545454545455, + "loss": 3.4545, + "step": 100 + }, + { + "epoch": 0.01, + "learning_rate": 0.0004590909090909091, + "loss": 3.3864, + "step": 101 + }, + { + "epoch": 0.01, + "learning_rate": 0.00046363636363636366, + "loss": 3.3335, + "step": 102 + }, + { + "epoch": 0.01, + "learning_rate": 0.0004681818181818182, + "loss": 3.1003, + "step": 103 + }, + { + "epoch": 0.01, + "learning_rate": 0.0004727272727272727, + "loss": 3.3679, + "step": 104 + }, + { + "epoch": 0.01, + "learning_rate": 0.0004772727272727273, + "loss": 3.3695, + "step": 105 + }, + { + "epoch": 0.01, + "learning_rate": 0.00048181818181818184, + "loss": 3.3797, + "step": 106 + }, + { + "epoch": 0.01, + "learning_rate": 0.0004863636363636364, + "loss": 3.2521, + "step": 107 + }, + { + "epoch": 0.01, + "learning_rate": 0.0004909090909090909, + "loss": 3.4547, + "step": 108 + }, + { + "epoch": 0.01, + "learning_rate": 0.0004954545454545455, + "loss": 3.1907, + "step": 109 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005, + "loss": 3.2594, + "step": 110 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005045454545454546, + "loss": 3.1924, + "step": 111 + }, + { + "epoch": 0.02, + "learning_rate": 0.000509090909090909, + "loss": 3.4055, + "step": 112 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005136363636363637, + "loss": 3.2156, + "step": 113 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005181818181818182, + "loss": 3.6265, + "step": 114 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005227272727272727, + "loss": 3.2202, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005272727272727272, + "loss": 3.2062, + "step": 116 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005318181818181819, + "loss": 3.2424, + "step": 117 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005363636363636364, + "loss": 3.1729, + "step": 118 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005409090909090909, + "loss": 3.2404, + "step": 119 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005454545454545455, + "loss": 3.0505, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 0.00055, + "loss": 3.2245, + "step": 121 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005545454545454546, + "loss": 3.2894, + "step": 122 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005590909090909091, + "loss": 3.0334, + "step": 123 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005636363636363636, + "loss": 3.2942, + "step": 124 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005681818181818183, + "loss": 3.1683, + "step": 125 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005727272727272727, + "loss": 3.128, + "step": 126 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005772727272727273, + "loss": 3.296, + "step": 127 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005818181818181818, + "loss": 3.0149, + "step": 128 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005863636363636363, + "loss": 3.127, + "step": 129 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005909090909090909, + "loss": 2.976, + "step": 130 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005954545454545455, + "loss": 3.1792, + "step": 131 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006, + "loss": 3.1626, + "step": 132 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006045454545454545, + "loss": 2.9979, + "step": 133 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006090909090909092, + "loss": 3.1639, + "step": 134 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006136363636363636, + "loss": 3.1585, + "step": 135 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006181818181818182, + "loss": 3.1086, + "step": 136 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006227272727272727, + "loss": 3.1021, + "step": 137 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006272727272727273, + "loss": 3.0745, + "step": 138 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006318181818181818, + "loss": 3.04, + "step": 139 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006363636363636364, + "loss": 2.9901, + "step": 140 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006409090909090909, + "loss": 2.9622, + "step": 141 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006454545454545455, + "loss": 3.1155, + "step": 142 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006500000000000001, + "loss": 3.2157, + "step": 143 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006545454545454545, + "loss": 3.2052, + "step": 144 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006590909090909091, + "loss": 3.0264, + "step": 145 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006636363636363638, + "loss": 3.0874, + "step": 146 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006681818181818182, + "loss": 2.9431, + "step": 147 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006727272727272728, + "loss": 2.8745, + "step": 148 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006772727272727273, + "loss": 2.9539, + "step": 149 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006818181818181818, + "loss": 2.955, + "step": 150 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006863636363636364, + "loss": 3.038, + "step": 151 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006909090909090909, + "loss": 3.027, + "step": 152 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006954545454545454, + "loss": 2.8695, + "step": 153 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007, + "loss": 3.1004, + "step": 154 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007045454545454546, + "loss": 2.8385, + "step": 155 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007090909090909091, + "loss": 2.967, + "step": 156 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007136363636363637, + "loss": 2.9112, + "step": 157 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007181818181818181, + "loss": 2.9583, + "step": 158 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007227272727272728, + "loss": 2.8338, + "step": 159 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007272727272727273, + "loss": 3.0555, + "step": 160 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007318181818181818, + "loss": 2.9622, + "step": 161 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007363636363636363, + "loss": 2.9459, + "step": 162 + }, + { + "epoch": 0.02, + "learning_rate": 0.000740909090909091, + "loss": 2.962, + "step": 163 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007454545454545455, + "loss": 2.9549, + "step": 164 + }, + { + "epoch": 0.02, + "learning_rate": 0.00075, + "loss": 2.9166, + "step": 165 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007545454545454546, + "loss": 2.8638, + "step": 166 + }, + { + "epoch": 0.02, + "learning_rate": 0.000759090909090909, + "loss": 3.0436, + "step": 167 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007636363636363637, + "loss": 2.8727, + "step": 168 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007681818181818182, + "loss": 3.0167, + "step": 169 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007727272727272727, + "loss": 2.8207, + "step": 170 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007772727272727273, + "loss": 2.8446, + "step": 171 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007818181818181819, + "loss": 3.0391, + "step": 172 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007863636363636364, + "loss": 2.9902, + "step": 173 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007909090909090909, + "loss": 2.8875, + "step": 174 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007954545454545455, + "loss": 2.8679, + "step": 175 + }, + { + "epoch": 0.02, + "learning_rate": 0.0008, + "loss": 2.9319, + "step": 176 + }, + { + "epoch": 0.02, + "learning_rate": 0.0008045454545454546, + "loss": 2.9933, + "step": 177 + }, + { + "epoch": 0.02, + "learning_rate": 0.0008090909090909092, + "loss": 3.0451, + "step": 178 + }, + { + "epoch": 0.02, + "learning_rate": 0.0008136363636363636, + "loss": 2.8871, + "step": 179 + }, + { + "epoch": 0.02, + "learning_rate": 0.0008181818181818183, + "loss": 2.7976, + "step": 180 + }, + { + "epoch": 0.02, + "learning_rate": 0.0008227272727272727, + "loss": 2.8725, + "step": 181 + }, + { + "epoch": 0.02, + "learning_rate": 0.0008272727272727273, + "loss": 3.0641, + "step": 182 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008318181818181818, + "loss": 2.8082, + "step": 183 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008363636363636363, + "loss": 3.0134, + "step": 184 + }, + { + "epoch": 0.03, + "learning_rate": 0.000840909090909091, + "loss": 2.7583, + "step": 185 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008454545454545455, + "loss": 2.7133, + "step": 186 + }, + { + "epoch": 0.03, + "learning_rate": 0.00085, + "loss": 3.036, + "step": 187 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008545454545454545, + "loss": 2.8152, + "step": 188 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008590909090909092, + "loss": 2.8079, + "step": 189 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008636363636363636, + "loss": 3.0115, + "step": 190 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008681818181818182, + "loss": 2.8557, + "step": 191 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008727272727272727, + "loss": 2.9172, + "step": 192 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008772727272727273, + "loss": 2.8949, + "step": 193 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008818181818181819, + "loss": 2.7417, + "step": 194 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008863636363636364, + "loss": 2.8346, + "step": 195 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008909090909090909, + "loss": 2.7531, + "step": 196 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008954545454545455, + "loss": 2.8142, + "step": 197 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009000000000000001, + "loss": 2.8586, + "step": 198 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009045454545454545, + "loss": 2.8641, + "step": 199 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009090909090909091, + "loss": 2.7462, + "step": 200 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009136363636363638, + "loss": 2.7543, + "step": 201 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009181818181818182, + "loss": 2.7598, + "step": 202 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009227272727272728, + "loss": 2.6929, + "step": 203 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009272727272727273, + "loss": 2.7076, + "step": 204 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009318181818181818, + "loss": 2.6266, + "step": 205 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009363636363636364, + "loss": 2.6822, + "step": 206 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009409090909090909, + "loss": 2.8912, + "step": 207 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009454545454545454, + "loss": 2.7226, + "step": 208 + }, + { + "epoch": 0.03, + "learning_rate": 0.00095, + "loss": 2.917, + "step": 209 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009545454545454546, + "loss": 2.7955, + "step": 210 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009590909090909091, + "loss": 2.7627, + "step": 211 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009636363636363637, + "loss": 2.5904, + "step": 212 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009681818181818181, + "loss": 2.7939, + "step": 213 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009727272727272728, + "loss": 2.9654, + "step": 214 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009772727272727272, + "loss": 2.9098, + "step": 215 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009818181818181818, + "loss": 2.7547, + "step": 216 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009863636363636363, + "loss": 2.9632, + "step": 217 + }, + { + "epoch": 0.03, + "learning_rate": 0.000990909090909091, + "loss": 2.9979, + "step": 218 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009954545454545455, + "loss": 3.0575, + "step": 219 + }, + { + "epoch": 0.03, + "learning_rate": 0.001, + "loss": 3.3979, + "step": 220 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999999509013224, + "loss": 3.1153, + "step": 221 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999998036052998, + "loss": 2.9291, + "step": 222 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999995581119606, + "loss": 3.1291, + "step": 223 + }, + { + "epoch": 0.03, + "learning_rate": 0.000999999214421353, + "loss": 3.2198, + "step": 224 + }, + { + "epoch": 0.03, + "learning_rate": 0.000999998772533545, + "loss": 3.3452, + "step": 225 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999982324486228, + "loss": 4.9216, + "step": 226 + }, + { + "epoch": 0.03, + "learning_rate": 0.000999997594166693, + "loss": 5.1045, + "step": 227 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999968576878803, + "loss": 3.8569, + "step": 228 + }, + { + "epoch": 0.03, + "learning_rate": 0.00099999602301233, + "loss": 3.9035, + "step": 229 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999950901402061, + "loss": 3.7915, + "step": 230 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999940590716913, + "loss": 3.995, + "step": 231 + }, + { + "epoch": 0.03, + "learning_rate": 0.000999992929806988, + "loss": 3.9122, + "step": 232 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999917023463185, + "loss": 3.9515, + "step": 233 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999903766899237, + "loss": 3.7743, + "step": 234 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999889528380637, + "loss": 3.6741, + "step": 235 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999874307910185, + "loss": 3.5462, + "step": 236 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999858105490867, + "loss": 3.4325, + "step": 237 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999840921125866, + "loss": 3.2928, + "step": 238 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999822754818558, + "loss": 3.2609, + "step": 239 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999803606572512, + "loss": 3.3829, + "step": 240 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999783476391485, + "loss": 3.326, + "step": 241 + }, + { + "epoch": 0.03, + "learning_rate": 0.000999976236427943, + "loss": 3.3889, + "step": 242 + }, + { + "epoch": 0.03, + "learning_rate": 0.00099997402702405, + "loss": 3.3585, + "step": 243 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999717194279026, + "loss": 3.2799, + "step": 244 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999693136399546, + "loss": 3.2862, + "step": 245 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999668096606783, + "loss": 3.2278, + "step": 246 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999642074905652, + "loss": 3.4077, + "step": 247 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999615071301267, + "loss": 3.1562, + "step": 248 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999587085798931, + "loss": 3.2337, + "step": 249 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999558118404138, + "loss": 3.1048, + "step": 250 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999528169122578, + "loss": 3.1428, + "step": 251 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999497237960136, + "loss": 3.1748, + "step": 252 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999465324922881, + "loss": 3.2321, + "step": 253 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999432430017083, + "loss": 3.1789, + "step": 254 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999398553249205, + "loss": 3.1482, + "step": 255 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009999363694625897, + "loss": 3.1449, + "step": 256 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009999327854154007, + "loss": 2.9967, + "step": 257 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009999291031840573, + "loss": 3.2882, + "step": 258 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009999253227692827, + "loss": 3.1363, + "step": 259 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999921444171819, + "loss": 3.296, + "step": 260 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009999174673924287, + "loss": 3.0782, + "step": 261 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009999133924318924, + "loss": 3.2433, + "step": 262 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009999092192910103, + "loss": 3.1429, + "step": 263 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009999049479706018, + "loss": 3.094, + "step": 264 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009999005784715063, + "loss": 3.2449, + "step": 265 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998961107945815, + "loss": 3.2728, + "step": 266 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998915449407051, + "loss": 3.047, + "step": 267 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998868809107738, + "loss": 3.1537, + "step": 268 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998821187057034, + "loss": 3.4405, + "step": 269 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998772583264292, + "loss": 3.1822, + "step": 270 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999872299773906, + "loss": 3.1438, + "step": 271 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998672430491073, + "loss": 3.0593, + "step": 272 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998620881530266, + "loss": 3.0432, + "step": 273 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999856835086676, + "loss": 3.1011, + "step": 274 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999851483851087, + "loss": 3.1027, + "step": 275 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999846034447311, + "loss": 3.133, + "step": 276 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999840486876418, + "loss": 3.3376, + "step": 277 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998348411394977, + "loss": 3.1525, + "step": 278 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998290972376585, + "loss": 3.1156, + "step": 279 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998232551720289, + "loss": 3.2853, + "step": 280 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999817314943756, + "loss": 3.1627, + "step": 281 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998112765540064, + "loss": 3.1936, + "step": 282 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998051400039662, + "loss": 3.3981, + "step": 283 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997989052948405, + "loss": 3.2889, + "step": 284 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997925724278538, + "loss": 3.1066, + "step": 285 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997861414042498, + "loss": 3.4403, + "step": 286 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997796122252914, + "loss": 3.3754, + "step": 287 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999772984892261, + "loss": 3.2848, + "step": 288 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997662594064603, + "loss": 3.4274, + "step": 289 + }, + { + "epoch": 0.04, + "learning_rate": 0.00099975943576921, + "loss": 2.9668, + "step": 290 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997525139818502, + "loss": 3.2376, + "step": 291 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997454940457403, + "loss": 3.1088, + "step": 292 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997383759622592, + "loss": 3.2045, + "step": 293 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997311597328045, + "loss": 3.5338, + "step": 294 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997238453587937, + "loss": 3.2816, + "step": 295 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997164328416634, + "loss": 3.2957, + "step": 296 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999708922182869, + "loss": 3.5241, + "step": 297 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997013133838859, + "loss": 3.2935, + "step": 298 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009996936064462082, + "loss": 3.1871, + "step": 299 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009996858013713496, + "loss": 3.2818, + "step": 300 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999677898160843, + "loss": 3.1905, + "step": 301 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009996698968162405, + "loss": 3.2109, + "step": 302 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009996617973391133, + "loss": 3.118, + "step": 303 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009996535997310527, + "loss": 3.4992, + "step": 304 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999645303993668, + "loss": 3.2182, + "step": 305 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999636910128589, + "loss": 3.3357, + "step": 306 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999628418137464, + "loss": 3.0179, + "step": 307 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009996198280219604, + "loss": 3.1481, + "step": 308 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009996111397837658, + "loss": 3.3103, + "step": 309 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999602353424586, + "loss": 3.1584, + "step": 310 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009995934689461471, + "loss": 3.1612, + "step": 311 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999584486350194, + "loss": 3.1135, + "step": 312 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009995754056384904, + "loss": 3.2291, + "step": 313 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009995662268128197, + "loss": 3.4126, + "step": 314 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009995569498749853, + "loss": 3.3521, + "step": 315 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999547574826808, + "loss": 3.2728, + "step": 316 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009995381016701301, + "loss": 3.113, + "step": 317 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009995285304068113, + "loss": 3.5013, + "step": 318 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009995188610387319, + "loss": 3.2544, + "step": 319 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009995090935677907, + "loss": 3.321, + "step": 320 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009994992279959056, + "loss": 3.1994, + "step": 321 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009994892643250147, + "loss": 3.4079, + "step": 322 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009994792025570746, + "loss": 3.3971, + "step": 323 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009994690426940614, + "loss": 3.5278, + "step": 324 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009994587847379703, + "loss": 3.1195, + "step": 325 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009994484286908161, + "loss": 3.2929, + "step": 326 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009994379745546327, + "loss": 3.3441, + "step": 327 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999427422331473, + "loss": 3.2995, + "step": 328 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009994167720234095, + "loss": 3.4812, + "step": 329 + }, + { + "epoch": 0.05, + "learning_rate": 0.000999406023632534, + "loss": 3.4045, + "step": 330 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009993951771609573, + "loss": 3.1097, + "step": 331 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009993842326108096, + "loss": 3.2454, + "step": 332 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009993731899842406, + "loss": 3.0564, + "step": 333 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009993620492834187, + "loss": 3.0995, + "step": 334 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009993508105105317, + "loss": 3.2412, + "step": 335 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009993394736677872, + "loss": 3.0226, + "step": 336 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009993280387574118, + "loss": 3.2141, + "step": 337 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009993165057816508, + "loss": 3.0272, + "step": 338 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009993048747427694, + "loss": 3.2075, + "step": 339 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009992931456430524, + "loss": 3.3617, + "step": 340 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009992813184848024, + "loss": 3.2186, + "step": 341 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009992693932703428, + "loss": 3.2713, + "step": 342 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009992573700020157, + "loss": 3.181, + "step": 343 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009992452486821822, + "loss": 3.2901, + "step": 344 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009992330293132226, + "loss": 3.0983, + "step": 345 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009992207118975371, + "loss": 3.1792, + "step": 346 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009992082964375448, + "loss": 3.2029, + "step": 347 + }, + { + "epoch": 0.05, + "learning_rate": 0.000999195782935684, + "loss": 3.1011, + "step": 348 + }, + { + "epoch": 0.05, + "learning_rate": 0.000999183171394412, + "loss": 3.1476, + "step": 349 + }, + { + "epoch": 0.05, + "learning_rate": 0.000999170461816206, + "loss": 3.3017, + "step": 350 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009991576542035616, + "loss": 3.1404, + "step": 351 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009991447485589947, + "loss": 3.0323, + "step": 352 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009991317448850396, + "loss": 3.16, + "step": 353 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009991186431842502, + "loss": 3.2319, + "step": 354 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009991054434591998, + "loss": 3.1105, + "step": 355 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009990921457124805, + "loss": 3.0105, + "step": 356 + }, + { + "epoch": 0.05, + "learning_rate": 0.000999078749946704, + "loss": 3.0864, + "step": 357 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009990652561645012, + "loss": 2.9718, + "step": 358 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009990516643685222, + "loss": 3.2003, + "step": 359 + }, + { + "epoch": 0.05, + "learning_rate": 0.000999037974561436, + "loss": 3.2211, + "step": 360 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009990241867459317, + "loss": 3.0078, + "step": 361 + }, + { + "epoch": 0.05, + "learning_rate": 0.000999010300924717, + "loss": 3.0533, + "step": 362 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009989963171005193, + "loss": 3.0636, + "step": 363 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009989822352760842, + "loss": 3.0096, + "step": 364 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009989680554541777, + "loss": 3.1583, + "step": 365 + }, + { + "epoch": 0.05, + "learning_rate": 0.000998953777637585, + "loss": 3.1681, + "step": 366 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009989394018291096, + "loss": 3.0294, + "step": 367 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009989249280315752, + "loss": 3.0218, + "step": 368 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009989103562478242, + "loss": 2.9156, + "step": 369 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009988956864807185, + "loss": 3.0824, + "step": 370 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009988809187331392, + "loss": 3.0298, + "step": 371 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009988660530079864, + "loss": 3.1511, + "step": 372 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009988510893081798, + "loss": 3.1341, + "step": 373 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009988360276366585, + "loss": 2.8812, + "step": 374 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009988208679963802, + "loss": 2.961, + "step": 375 + }, + { + "epoch": 0.05, + "learning_rate": 0.000998805610390322, + "loss": 3.0121, + "step": 376 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009987902548214806, + "loss": 3.1044, + "step": 377 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009987748012928717, + "loss": 2.9193, + "step": 378 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009987592498075307, + "loss": 3.093, + "step": 379 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009987436003685113, + "loss": 3.0393, + "step": 380 + }, + { + "epoch": 0.05, + "learning_rate": 0.000998727852978887, + "loss": 2.8089, + "step": 381 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009987120076417509, + "loss": 3.0743, + "step": 382 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009986960643602145, + "loss": 3.0953, + "step": 383 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009986800231374094, + "loss": 2.9464, + "step": 384 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009986638839764857, + "loss": 2.7562, + "step": 385 + }, + { + "epoch": 0.05, + "learning_rate": 0.000998647646880613, + "loss": 2.9317, + "step": 386 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009986313118529803, + "loss": 2.8908, + "step": 387 + }, + { + "epoch": 0.05, + "learning_rate": 0.000998614878896796, + "loss": 3.091, + "step": 388 + }, + { + "epoch": 0.05, + "learning_rate": 0.000998598348015287, + "loss": 2.9681, + "step": 389 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009985817192117, + "loss": 3.0202, + "step": 390 + }, + { + "epoch": 0.05, + "learning_rate": 0.000998564992489301, + "loss": 3.0657, + "step": 391 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009985481678513749, + "loss": 3.0384, + "step": 392 + }, + { + "epoch": 0.05, + "learning_rate": 0.000998531245301226, + "loss": 2.9546, + "step": 393 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009985142248421775, + "loss": 2.9828, + "step": 394 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009984971064775727, + "loss": 2.8052, + "step": 395 + }, + { + "epoch": 0.05, + "learning_rate": 0.000998479890210773, + "loss": 2.9294, + "step": 396 + }, + { + "epoch": 0.05, + "learning_rate": 0.00099846257604516, + "loss": 2.8164, + "step": 397 + }, + { + "epoch": 0.05, + "learning_rate": 0.000998445163984134, + "loss": 2.873, + "step": 398 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009984276540311143, + "loss": 2.8174, + "step": 399 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009984100461895404, + "loss": 2.8371, + "step": 400 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009983923404628698, + "loss": 2.9555, + "step": 401 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009983745368545801, + "loss": 2.8616, + "step": 402 + }, + { + "epoch": 0.06, + "learning_rate": 0.000998356635368168, + "loss": 2.9616, + "step": 403 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009983386360071487, + "loss": 2.9255, + "step": 404 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009983205387750576, + "loss": 2.8244, + "step": 405 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009983023436754487, + "loss": 2.8018, + "step": 406 + }, + { + "epoch": 0.06, + "learning_rate": 0.000998284050711896, + "loss": 2.8535, + "step": 407 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009982656598879912, + "loss": 2.9172, + "step": 408 + }, + { + "epoch": 0.06, + "learning_rate": 0.000998247171207347, + "loss": 2.9148, + "step": 409 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009982285846735937, + "loss": 2.8728, + "step": 410 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009982099002903823, + "loss": 2.7338, + "step": 411 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009981911180613821, + "loss": 2.8387, + "step": 412 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009981722379902816, + "loss": 2.9344, + "step": 413 + }, + { + "epoch": 0.06, + "learning_rate": 0.000998153260080789, + "loss": 2.8903, + "step": 414 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009981341843366312, + "loss": 3.019, + "step": 415 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009981150107615548, + "loss": 2.9517, + "step": 416 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009980957393593256, + "loss": 2.9988, + "step": 417 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009980763701337278, + "loss": 2.9295, + "step": 418 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009980569030885657, + "loss": 2.9707, + "step": 419 + }, + { + "epoch": 0.06, + "learning_rate": 0.000998037338227663, + "loss": 2.9289, + "step": 420 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009980176755548613, + "loss": 3.0496, + "step": 421 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009979979150740229, + "loss": 2.8074, + "step": 422 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009979780567890282, + "loss": 2.8995, + "step": 423 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009979581007037775, + "loss": 2.9067, + "step": 424 + }, + { + "epoch": 0.06, + "learning_rate": 0.00099793804682219, + "loss": 2.8455, + "step": 425 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009979178951482043, + "loss": 2.8618, + "step": 426 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009978976456857783, + "loss": 2.9595, + "step": 427 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009978772984388883, + "loss": 2.7414, + "step": 428 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009978568534115306, + "loss": 3.0303, + "step": 429 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009978363106077205, + "loss": 2.9246, + "step": 430 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009978156700314927, + "loss": 2.916, + "step": 431 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009977949316869008, + "loss": 2.8719, + "step": 432 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009977740955780176, + "loss": 2.9844, + "step": 433 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009977531617089352, + "loss": 3.0645, + "step": 434 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009977321300837652, + "loss": 2.9834, + "step": 435 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009977110007066377, + "loss": 2.8488, + "step": 436 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009976897735817026, + "loss": 2.8592, + "step": 437 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009976684487131289, + "loss": 2.8629, + "step": 438 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009976470261051043, + "loss": 2.9175, + "step": 439 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009976255057618365, + "loss": 2.877, + "step": 440 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009976038876875516, + "loss": 2.9054, + "step": 441 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009975821718864958, + "loss": 2.8338, + "step": 442 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009975603583629335, + "loss": 2.9015, + "step": 443 + }, + { + "epoch": 0.06, + "learning_rate": 0.000997538447121149, + "loss": 3.0678, + "step": 444 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009975164381654455, + "loss": 2.9625, + "step": 445 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009974943315001455, + "loss": 2.8954, + "step": 446 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009974721271295904, + "loss": 2.9305, + "step": 447 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009974498250581412, + "loss": 2.9253, + "step": 448 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009974274252901778, + "loss": 2.8557, + "step": 449 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009974049278300996, + "loss": 2.7892, + "step": 450 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009973823326823248, + "loss": 2.7983, + "step": 451 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009973596398512913, + "loss": 3.0201, + "step": 452 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009973368493414552, + "loss": 2.8807, + "step": 453 + }, + { + "epoch": 0.06, + "learning_rate": 0.000997313961157293, + "loss": 2.9416, + "step": 454 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009972909753032996, + "loss": 2.74, + "step": 455 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009972678917839894, + "loss": 2.9776, + "step": 456 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009972447106038956, + "loss": 2.8082, + "step": 457 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009972214317675713, + "loss": 2.8254, + "step": 458 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009971980552795881, + "loss": 2.8342, + "step": 459 + }, + { + "epoch": 0.06, + "learning_rate": 0.000997174581144537, + "loss": 2.89, + "step": 460 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009971510093670281, + "loss": 2.9454, + "step": 461 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009971273399516911, + "loss": 3.0026, + "step": 462 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009971035729031742, + "loss": 2.8681, + "step": 463 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009970797082261454, + "loss": 2.705, + "step": 464 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009970557459252913, + "loss": 2.7532, + "step": 465 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009970316860053183, + "loss": 2.9341, + "step": 466 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009970075284709515, + "loss": 2.8529, + "step": 467 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009969832733269352, + "loss": 2.869, + "step": 468 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009969589205780331, + "loss": 2.8113, + "step": 469 + }, + { + "epoch": 0.06, + "learning_rate": 0.000996934470229028, + "loss": 2.8222, + "step": 470 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009969099222847217, + "loss": 2.875, + "step": 471 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009968852767499353, + "loss": 2.9714, + "step": 472 + }, + { + "epoch": 0.06, + "learning_rate": 0.000996860533629509, + "loss": 2.7762, + "step": 473 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009968356929283026, + "loss": 2.9108, + "step": 474 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009968107546511943, + "loss": 3.0201, + "step": 475 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009967857188030818, + "loss": 2.7191, + "step": 476 + }, + { + "epoch": 0.07, + "learning_rate": 0.000996760585388882, + "loss": 2.822, + "step": 477 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009967353544135314, + "loss": 3.0122, + "step": 478 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009967100258819848, + "loss": 2.8845, + "step": 479 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009966845997992167, + "loss": 2.8714, + "step": 480 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009966590761702207, + "loss": 2.9597, + "step": 481 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009966334550000095, + "loss": 2.9673, + "step": 482 + }, + { + "epoch": 0.07, + "learning_rate": 0.000996607736293615, + "loss": 2.9124, + "step": 483 + }, + { + "epoch": 0.07, + "learning_rate": 0.000996581920056088, + "loss": 2.8937, + "step": 484 + }, + { + "epoch": 0.07, + "learning_rate": 0.000996556006292499, + "loss": 2.7614, + "step": 485 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009965299950079373, + "loss": 2.8007, + "step": 486 + }, + { + "epoch": 0.07, + "learning_rate": 0.000996503886207511, + "loss": 2.83, + "step": 487 + }, + { + "epoch": 0.07, + "learning_rate": 0.000996477679896348, + "loss": 2.8919, + "step": 488 + }, + { + "epoch": 0.07, + "learning_rate": 0.000996451376079595, + "loss": 2.8531, + "step": 489 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009964249747624178, + "loss": 2.8707, + "step": 490 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009963984759500022, + "loss": 2.9464, + "step": 491 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009963718796475514, + "loss": 2.8051, + "step": 492 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009963451858602894, + "loss": 2.9094, + "step": 493 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009963183945934588, + "loss": 3.0153, + "step": 494 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009962915058523208, + "loss": 2.8264, + "step": 495 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009962645196421565, + "loss": 2.8448, + "step": 496 + }, + { + "epoch": 0.07, + "learning_rate": 0.000996237435968266, + "loss": 2.8701, + "step": 497 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009962102548359678, + "loss": 2.8328, + "step": 498 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009961829762506007, + "loss": 2.8768, + "step": 499 + }, + { + "epoch": 0.07, + "learning_rate": 0.000996155600217522, + "loss": 2.938, + "step": 500 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009961281267421081, + "loss": 2.8068, + "step": 501 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009961005558297544, + "loss": 2.7023, + "step": 502 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009960728874858762, + "loss": 2.7803, + "step": 503 + }, + { + "epoch": 0.07, + "learning_rate": 0.000996045121715907, + "loss": 2.9175, + "step": 504 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009960172585253, + "loss": 2.7208, + "step": 505 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009959892979195272, + "loss": 2.7717, + "step": 506 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009959612399040804, + "loss": 3.0029, + "step": 507 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009959330844844696, + "loss": 2.9425, + "step": 508 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009959048316662245, + "loss": 2.9049, + "step": 509 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009958764814548939, + "loss": 2.6122, + "step": 510 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009958480338560455, + "loss": 2.8502, + "step": 511 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009958194888752662, + "loss": 2.8749, + "step": 512 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009957908465181623, + "loss": 2.832, + "step": 513 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009957621067903588, + "loss": 2.7619, + "step": 514 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009957332696975002, + "loss": 2.7804, + "step": 515 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009957043352452498, + "loss": 2.8949, + "step": 516 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009956753034392903, + "loss": 3.0272, + "step": 517 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009956461742853234, + "loss": 2.8014, + "step": 518 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009956169477890698, + "loss": 2.8439, + "step": 519 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009955876239562695, + "loss": 2.9642, + "step": 520 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009955582027926814, + "loss": 2.8117, + "step": 521 + }, + { + "epoch": 0.07, + "learning_rate": 0.000995528684304084, + "loss": 2.6605, + "step": 522 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009954990684962741, + "loss": 2.7939, + "step": 523 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009954693553750687, + "loss": 2.862, + "step": 524 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009954395449463028, + "loss": 2.8626, + "step": 525 + }, + { + "epoch": 0.07, + "learning_rate": 0.000995409637215831, + "loss": 2.7584, + "step": 526 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009953796321895273, + "loss": 2.7942, + "step": 527 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009953495298732843, + "loss": 2.7996, + "step": 528 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009953193302730144, + "loss": 2.9177, + "step": 529 + }, + { + "epoch": 0.07, + "learning_rate": 0.000995289033394648, + "loss": 2.6818, + "step": 530 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009952586392441357, + "loss": 2.8035, + "step": 531 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009952281478274464, + "loss": 2.918, + "step": 532 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009951975591505687, + "loss": 2.7548, + "step": 533 + }, + { + "epoch": 0.07, + "learning_rate": 0.00099516687321951, + "loss": 2.7599, + "step": 534 + }, + { + "epoch": 0.07, + "learning_rate": 0.000995136090040297, + "loss": 2.6644, + "step": 535 + }, + { + "epoch": 0.07, + "learning_rate": 0.000995105209618975, + "loss": 2.8659, + "step": 536 + }, + { + "epoch": 0.07, + "learning_rate": 0.000995074231961609, + "loss": 2.9687, + "step": 537 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009950431570742828, + "loss": 2.9515, + "step": 538 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009950119849630994, + "loss": 2.8449, + "step": 539 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009949807156341807, + "loss": 2.9559, + "step": 540 + }, + { + "epoch": 0.07, + "learning_rate": 0.000994949349093668, + "loss": 2.9629, + "step": 541 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009949178853477215, + "loss": 2.8395, + "step": 542 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009948863244025202, + "loss": 2.9484, + "step": 543 + }, + { + "epoch": 0.07, + "learning_rate": 0.000994854666264263, + "loss": 2.6951, + "step": 544 + }, + { + "epoch": 0.07, + "learning_rate": 0.000994822910939167, + "loss": 2.7635, + "step": 545 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009947910584334689, + "loss": 2.889, + "step": 546 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009947591087534245, + "loss": 2.8117, + "step": 547 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009947270619053083, + "loss": 2.7553, + "step": 548 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009946949178954144, + "loss": 3.0119, + "step": 549 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009946626767300556, + "loss": 2.9951, + "step": 550 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009946303384155636, + "loss": 2.8049, + "step": 551 + }, + { + "epoch": 0.08, + "learning_rate": 0.00099459790295829, + "loss": 3.1122, + "step": 552 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009945653703646046, + "loss": 2.7796, + "step": 553 + }, + { + "epoch": 0.08, + "learning_rate": 0.000994532740640897, + "loss": 2.9381, + "step": 554 + }, + { + "epoch": 0.08, + "learning_rate": 0.000994500013793575, + "loss": 2.7606, + "step": 555 + }, + { + "epoch": 0.08, + "learning_rate": 0.000994467189829066, + "loss": 2.8107, + "step": 556 + }, + { + "epoch": 0.08, + "learning_rate": 0.000994434268753817, + "loss": 2.8986, + "step": 557 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009944012505742929, + "loss": 2.8117, + "step": 558 + }, + { + "epoch": 0.08, + "learning_rate": 0.000994368135296979, + "loss": 2.8826, + "step": 559 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009943349229283782, + "loss": 2.8043, + "step": 560 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009943016134750136, + "loss": 2.7561, + "step": 561 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009942682069434272, + "loss": 2.8645, + "step": 562 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009942347033401794, + "loss": 2.9337, + "step": 563 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009942011026718505, + "loss": 2.6578, + "step": 564 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009941674049450393, + "loss": 2.9626, + "step": 565 + }, + { + "epoch": 0.08, + "learning_rate": 0.000994133610166364, + "loss": 2.8972, + "step": 566 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009940997183424617, + "loss": 2.9167, + "step": 567 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009940657294799885, + "loss": 2.8221, + "step": 568 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009940316435856195, + "loss": 2.7721, + "step": 569 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009939974606660493, + "loss": 2.8602, + "step": 570 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009939631807279912, + "loss": 2.827, + "step": 571 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009939288037781773, + "loss": 2.8409, + "step": 572 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009938943298233593, + "loss": 2.7989, + "step": 573 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009938597588703075, + "loss": 2.7707, + "step": 574 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009938250909258118, + "loss": 2.8433, + "step": 575 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009937903259966804, + "loss": 2.7588, + "step": 576 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009937554640897413, + "loss": 2.7779, + "step": 577 + }, + { + "epoch": 0.08, + "learning_rate": 0.000993720505211841, + "loss": 2.7164, + "step": 578 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009936854493698454, + "loss": 2.6121, + "step": 579 + }, + { + "epoch": 0.08, + "learning_rate": 0.000993650296570639, + "loss": 2.9118, + "step": 580 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009936150468211255, + "loss": 2.8647, + "step": 581 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009935797001282285, + "loss": 2.7732, + "step": 582 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009935442564988893, + "loss": 2.7803, + "step": 583 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009935087159400689, + "loss": 2.62, + "step": 584 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009934730784587475, + "loss": 2.9463, + "step": 585 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009934373440619237, + "loss": 2.8687, + "step": 586 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009934015127566161, + "loss": 2.7684, + "step": 587 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009933655845498614, + "loss": 2.7964, + "step": 588 + }, + { + "epoch": 0.08, + "learning_rate": 0.000993329559448716, + "loss": 2.6234, + "step": 589 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009932934374602548, + "loss": 2.8432, + "step": 590 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009932572185915717, + "loss": 2.6546, + "step": 591 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009932209028497806, + "loss": 2.8982, + "step": 592 + }, + { + "epoch": 0.08, + "learning_rate": 0.000993184490242013, + "loss": 2.7541, + "step": 593 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009931479807754207, + "loss": 2.6009, + "step": 594 + }, + { + "epoch": 0.08, + "learning_rate": 0.000993111374457174, + "loss": 2.791, + "step": 595 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009930746712944615, + "loss": 3.0007, + "step": 596 + }, + { + "epoch": 0.08, + "learning_rate": 0.000993037871294492, + "loss": 2.7818, + "step": 597 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009930009744644928, + "loss": 2.9116, + "step": 598 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009929639808117102, + "loss": 2.7656, + "step": 599 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009929268903434096, + "loss": 2.8878, + "step": 600 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009928897030668754, + "loss": 2.8864, + "step": 601 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009928524189894109, + "loss": 2.9916, + "step": 602 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009928150381183383, + "loss": 2.8284, + "step": 603 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009927775604609995, + "loss": 2.7708, + "step": 604 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009927399860247545, + "loss": 2.8586, + "step": 605 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009927023148169829, + "loss": 2.7665, + "step": 606 + }, + { + "epoch": 0.08, + "learning_rate": 0.000992664546845083, + "loss": 2.7202, + "step": 607 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009926266821164724, + "loss": 2.751, + "step": 608 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009925887206385874, + "loss": 2.7996, + "step": 609 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009925506624188837, + "loss": 2.7967, + "step": 610 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009925125074648352, + "loss": 2.6855, + "step": 611 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009924742557839356, + "loss": 2.9056, + "step": 612 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009924359073836975, + "loss": 2.8114, + "step": 613 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009923974622716523, + "loss": 2.7669, + "step": 614 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009923589204553502, + "loss": 2.796, + "step": 615 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009923202819423606, + "loss": 2.758, + "step": 616 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009922815467402722, + "loss": 2.7371, + "step": 617 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009922427148566922, + "loss": 2.5971, + "step": 618 + }, + { + "epoch": 0.08, + "learning_rate": 0.000992203786299247, + "loss": 2.9231, + "step": 619 + }, + { + "epoch": 0.08, + "learning_rate": 0.000992164761075582, + "loss": 3.0265, + "step": 620 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009921256391933614, + "loss": 2.74, + "step": 621 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009920864206602684, + "loss": 2.8527, + "step": 622 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009920471054840057, + "loss": 2.8499, + "step": 623 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009920076936722946, + "loss": 2.7957, + "step": 624 + }, + { + "epoch": 0.09, + "learning_rate": 0.000991968185232875, + "loss": 2.8211, + "step": 625 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009919285801735062, + "loss": 2.8245, + "step": 626 + }, + { + "epoch": 0.09, + "learning_rate": 0.000991888878501967, + "loss": 2.706, + "step": 627 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009918490802260538, + "loss": 2.8619, + "step": 628 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009918091853535834, + "loss": 2.9703, + "step": 629 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009917691938923904, + "loss": 2.8998, + "step": 630 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009917291058503296, + "loss": 3.0656, + "step": 631 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009916889212352733, + "loss": 2.7204, + "step": 632 + }, + { + "epoch": 0.09, + "learning_rate": 0.000991648640055114, + "loss": 2.7919, + "step": 633 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009916082623177627, + "loss": 2.8476, + "step": 634 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009915677880311493, + "loss": 2.8439, + "step": 635 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009915272172032227, + "loss": 2.8083, + "step": 636 + }, + { + "epoch": 0.09, + "learning_rate": 0.000991486549841951, + "loss": 2.7382, + "step": 637 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009914457859553207, + "loss": 2.8828, + "step": 638 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009914049255513378, + "loss": 2.7557, + "step": 639 + }, + { + "epoch": 0.09, + "learning_rate": 0.000991363968638027, + "loss": 2.7026, + "step": 640 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009913229152234324, + "loss": 2.752, + "step": 641 + }, + { + "epoch": 0.09, + "learning_rate": 0.000991281765315616, + "loss": 2.7188, + "step": 642 + }, + { + "epoch": 0.09, + "learning_rate": 0.00099124051892266, + "loss": 2.7634, + "step": 643 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009911991760526648, + "loss": 2.7231, + "step": 644 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009911577367137498, + "loss": 2.6923, + "step": 645 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009911162009140536, + "loss": 2.7852, + "step": 646 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009910745686617336, + "loss": 2.7881, + "step": 647 + }, + { + "epoch": 0.09, + "learning_rate": 0.000991032839964966, + "loss": 2.8368, + "step": 648 + }, + { + "epoch": 0.09, + "learning_rate": 0.000990991014831946, + "loss": 2.6689, + "step": 649 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009909490932708885, + "loss": 2.7725, + "step": 650 + }, + { + "epoch": 0.09, + "learning_rate": 0.000990907075290026, + "loss": 2.7084, + "step": 651 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009908649608976108, + "loss": 2.8167, + "step": 652 + }, + { + "epoch": 0.09, + "learning_rate": 0.000990822750101914, + "loss": 2.779, + "step": 653 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009907804429112256, + "loss": 3.0487, + "step": 654 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009907380393338544, + "loss": 2.7972, + "step": 655 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009906955393781283, + "loss": 2.7495, + "step": 656 + }, + { + "epoch": 0.09, + "learning_rate": 0.000990652943052394, + "loss": 2.7169, + "step": 657 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009906102503650174, + "loss": 2.7907, + "step": 658 + }, + { + "epoch": 0.09, + "learning_rate": 0.000990567461324383, + "loss": 2.9171, + "step": 659 + }, + { + "epoch": 0.09, + "learning_rate": 0.000990524575938894, + "loss": 2.8581, + "step": 660 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009904815942169737, + "loss": 2.7891, + "step": 661 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009904385161670624, + "loss": 2.8196, + "step": 662 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009903953417976213, + "loss": 2.6944, + "step": 663 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009903520711171292, + "loss": 2.9116, + "step": 664 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009903087041340842, + "loss": 2.7876, + "step": 665 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009902652408570036, + "loss": 2.802, + "step": 666 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009902216812944231, + "loss": 2.7182, + "step": 667 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009901780254548977, + "loss": 2.7382, + "step": 668 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009901342733470014, + "loss": 2.8358, + "step": 669 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009900904249793264, + "loss": 2.7785, + "step": 670 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009900464803604845, + "loss": 2.7359, + "step": 671 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009900024394991062, + "loss": 2.8051, + "step": 672 + }, + { + "epoch": 0.09, + "learning_rate": 0.000989958302403841, + "loss": 2.8752, + "step": 673 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009899140690833572, + "loss": 2.7479, + "step": 674 + }, + { + "epoch": 0.09, + "learning_rate": 0.000989869739546342, + "loss": 2.8558, + "step": 675 + }, + { + "epoch": 0.09, + "learning_rate": 0.000989825313801501, + "loss": 2.7665, + "step": 676 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009897807918575596, + "loss": 2.7789, + "step": 677 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009897361737232619, + "loss": 2.798, + "step": 678 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009896914594073702, + "loss": 2.7344, + "step": 679 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009896466489186665, + "loss": 2.8625, + "step": 680 + }, + { + "epoch": 0.09, + "learning_rate": 0.000989601742265951, + "loss": 2.8027, + "step": 681 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009895567394580436, + "loss": 2.8264, + "step": 682 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009895116405037822, + "loss": 2.6315, + "step": 683 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009894664454120241, + "loss": 2.6777, + "step": 684 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009894211541916454, + "loss": 2.7527, + "step": 685 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009893757668515413, + "loss": 2.7688, + "step": 686 + }, + { + "epoch": 0.09, + "learning_rate": 0.000989330283400625, + "loss": 2.7612, + "step": 687 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009892847038478298, + "loss": 2.8565, + "step": 688 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009892390282021074, + "loss": 2.6305, + "step": 689 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009891932564724275, + "loss": 2.693, + "step": 690 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009891473886677802, + "loss": 2.8319, + "step": 691 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009891014247971732, + "loss": 2.6554, + "step": 692 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009890553648696336, + "loss": 2.688, + "step": 693 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009890092088942078, + "loss": 2.7255, + "step": 694 + }, + { + "epoch": 0.1, + "learning_rate": 0.00098896295687996, + "loss": 2.8188, + "step": 695 + }, + { + "epoch": 0.1, + "learning_rate": 0.000988916608835974, + "loss": 2.6895, + "step": 696 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009888701647713528, + "loss": 2.7679, + "step": 697 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009888236246952172, + "loss": 2.6331, + "step": 698 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009887769886167074, + "loss": 2.7784, + "step": 699 + }, + { + "epoch": 0.1, + "learning_rate": 0.000988730256544983, + "loss": 2.6677, + "step": 700 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009886834284892213, + "loss": 2.7335, + "step": 701 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009886365044586196, + "loss": 2.9033, + "step": 702 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009885894844623932, + "loss": 2.7929, + "step": 703 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009885423685097768, + "loss": 2.6297, + "step": 704 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009884951566100236, + "loss": 2.8098, + "step": 705 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009884478487724058, + "loss": 2.6235, + "step": 706 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009884004450062143, + "loss": 2.7175, + "step": 707 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009883529453207592, + "loss": 2.6654, + "step": 708 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009883053497253692, + "loss": 2.6789, + "step": 709 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009882576582293913, + "loss": 2.7834, + "step": 710 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009882098708421925, + "loss": 2.6819, + "step": 711 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009881619875731576, + "loss": 2.7745, + "step": 712 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009881140084316907, + "loss": 2.712, + "step": 713 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009880659334272146, + "loss": 2.8058, + "step": 714 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009880177625691713, + "loss": 2.6098, + "step": 715 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009879694958670208, + "loss": 2.7254, + "step": 716 + }, + { + "epoch": 0.1, + "learning_rate": 0.000987921133330243, + "loss": 2.7222, + "step": 717 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009878726749683354, + "loss": 2.6778, + "step": 718 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009878241207908157, + "loss": 2.6095, + "step": 719 + }, + { + "epoch": 0.1, + "learning_rate": 0.000987775470807219, + "loss": 2.9887, + "step": 720 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009877267250271, + "loss": 2.6981, + "step": 721 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009876778834600325, + "loss": 2.8867, + "step": 722 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009876289461156088, + "loss": 2.7736, + "step": 723 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009875799130034393, + "loss": 2.7942, + "step": 724 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009875307841331542, + "loss": 2.7159, + "step": 725 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009874815595144022, + "loss": 2.7598, + "step": 726 + }, + { + "epoch": 0.1, + "learning_rate": 0.000987432239156851, + "loss": 2.8929, + "step": 727 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009873828230701862, + "loss": 2.7379, + "step": 728 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009873333112641132, + "loss": 2.617, + "step": 729 + }, + { + "epoch": 0.1, + "learning_rate": 0.000987283703748356, + "loss": 2.8189, + "step": 730 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009872340005326573, + "loss": 2.6843, + "step": 731 + }, + { + "epoch": 0.1, + "learning_rate": 0.000987184201626778, + "loss": 2.8218, + "step": 732 + }, + { + "epoch": 0.1, + "learning_rate": 0.000987134307040499, + "loss": 2.8174, + "step": 733 + }, + { + "epoch": 0.1, + "learning_rate": 0.000987084316783619, + "loss": 2.8401, + "step": 734 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009870342308659558, + "loss": 2.6268, + "step": 735 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009869840492973461, + "loss": 2.7504, + "step": 736 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009869337720876455, + "loss": 2.7281, + "step": 737 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009868833992467277, + "loss": 2.8575, + "step": 738 + }, + { + "epoch": 0.1, + "learning_rate": 0.000986832930784486, + "loss": 2.7218, + "step": 739 + }, + { + "epoch": 0.1, + "learning_rate": 0.000986782366710832, + "loss": 2.7523, + "step": 740 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009867317070356963, + "loss": 2.6892, + "step": 741 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009866809517690284, + "loss": 2.7342, + "step": 742 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009866301009207957, + "loss": 2.7333, + "step": 743 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009865791545009856, + "loss": 2.7306, + "step": 744 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009865281125196036, + "loss": 2.7259, + "step": 745 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009864769749866743, + "loss": 2.7712, + "step": 746 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009864257419122404, + "loss": 2.7284, + "step": 747 + }, + { + "epoch": 0.1, + "learning_rate": 0.000986374413306364, + "loss": 2.7563, + "step": 748 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009863229891791257, + "loss": 2.7385, + "step": 749 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009862714695406253, + "loss": 2.7341, + "step": 750 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009862198544009803, + "loss": 2.7876, + "step": 751 + }, + { + "epoch": 0.1, + "learning_rate": 0.000986168143770328, + "loss": 2.7, + "step": 752 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009861163376588243, + "loss": 2.6251, + "step": 753 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009860644360766434, + "loss": 2.6694, + "step": 754 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009860124390339785, + "loss": 2.8806, + "step": 755 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009859603465410417, + "loss": 2.7944, + "step": 756 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009859081586080635, + "loss": 2.6908, + "step": 757 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009858558752452935, + "loss": 2.8373, + "step": 758 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009858034964629998, + "loss": 2.7603, + "step": 759 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009857510222714692, + "loss": 2.5494, + "step": 760 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009856984526810076, + "loss": 2.7603, + "step": 761 + }, + { + "epoch": 0.1, + "learning_rate": 0.000985645787701939, + "loss": 2.7986, + "step": 762 + }, + { + "epoch": 0.1, + "learning_rate": 0.000985593027344607, + "loss": 2.7752, + "step": 763 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009855401716193733, + "loss": 2.7721, + "step": 764 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009854872205366182, + "loss": 2.7202, + "step": 765 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009854341741067415, + "loss": 2.6336, + "step": 766 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009853810323401607, + "loss": 2.8809, + "step": 767 + }, + { + "epoch": 0.11, + "learning_rate": 0.000985327795247313, + "loss": 2.6347, + "step": 768 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009852744628386534, + "loss": 2.7036, + "step": 769 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009852210351246568, + "loss": 2.7744, + "step": 770 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009851675121158156, + "loss": 2.788, + "step": 771 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009851138938226417, + "loss": 2.7638, + "step": 772 + }, + { + "epoch": 0.11, + "learning_rate": 0.000985060180255665, + "loss": 2.6946, + "step": 773 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009850063714254352, + "loss": 2.6215, + "step": 774 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009849524673425196, + "loss": 2.6645, + "step": 775 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009848984680175049, + "loss": 2.5119, + "step": 776 + }, + { + "epoch": 0.11, + "learning_rate": 0.000984844373460996, + "loss": 2.7582, + "step": 777 + }, + { + "epoch": 0.11, + "learning_rate": 0.000984790183683617, + "loss": 2.777, + "step": 778 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009847358986960109, + "loss": 2.657, + "step": 779 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009846815185088384, + "loss": 2.8744, + "step": 780 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009846270431327793, + "loss": 2.791, + "step": 781 + }, + { + "epoch": 0.11, + "learning_rate": 0.000984572472578533, + "loss": 2.8641, + "step": 782 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009845178068568162, + "loss": 2.7462, + "step": 783 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009844630459783655, + "loss": 2.7338, + "step": 784 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009844081899539352, + "loss": 2.9679, + "step": 785 + }, + { + "epoch": 0.11, + "learning_rate": 0.000984353238794299, + "loss": 2.7302, + "step": 786 + }, + { + "epoch": 0.11, + "learning_rate": 0.000984298192510249, + "loss": 2.6201, + "step": 787 + }, + { + "epoch": 0.11, + "learning_rate": 0.000984243051112596, + "loss": 2.7364, + "step": 788 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009841878146121693, + "loss": 2.7855, + "step": 789 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009841324830198173, + "loss": 2.6904, + "step": 790 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009840770563464066, + "loss": 2.6109, + "step": 791 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009840215346028228, + "loss": 2.6918, + "step": 792 + }, + { + "epoch": 0.11, + "learning_rate": 0.00098396591779997, + "loss": 2.5541, + "step": 793 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009839102059487714, + "loss": 2.6811, + "step": 794 + }, + { + "epoch": 0.11, + "learning_rate": 0.000983854399060168, + "loss": 2.7387, + "step": 795 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009837984971451203, + "loss": 2.9578, + "step": 796 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009837425002146073, + "loss": 2.8018, + "step": 797 + }, + { + "epoch": 0.11, + "learning_rate": 0.000983686408279626, + "loss": 2.6281, + "step": 798 + }, + { + "epoch": 0.11, + "learning_rate": 0.000983630221351193, + "loss": 2.6242, + "step": 799 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009835739394403427, + "loss": 2.6081, + "step": 800 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009835175625581291, + "loss": 2.748, + "step": 801 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009834610907156237, + "loss": 2.6294, + "step": 802 + }, + { + "epoch": 0.11, + "learning_rate": 0.000983404523923918, + "loss": 2.8108, + "step": 803 + }, + { + "epoch": 0.11, + "learning_rate": 0.000983347862194121, + "loss": 2.7053, + "step": 804 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009832911055373606, + "loss": 2.6711, + "step": 805 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009832342539647838, + "loss": 2.5881, + "step": 806 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009831773074875556, + "loss": 2.6376, + "step": 807 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009831202661168606, + "loss": 2.6434, + "step": 808 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009830631298639008, + "loss": 2.6791, + "step": 809 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009830058987398977, + "loss": 2.7307, + "step": 810 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009829485727560915, + "loss": 2.8056, + "step": 811 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009828911519237401, + "loss": 2.7675, + "step": 812 + }, + { + "epoch": 0.11, + "learning_rate": 0.000982833636254121, + "loss": 2.7416, + "step": 813 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009827760257585302, + "loss": 2.6687, + "step": 814 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009827183204482817, + "loss": 2.8378, + "step": 815 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009826605203347085, + "loss": 2.7817, + "step": 816 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009826026254291626, + "loss": 2.7038, + "step": 817 + }, + { + "epoch": 0.11, + "learning_rate": 0.000982544635743014, + "loss": 2.7732, + "step": 818 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009824865512876515, + "loss": 2.8923, + "step": 819 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009824283720744828, + "loss": 2.4652, + "step": 820 + }, + { + "epoch": 0.11, + "learning_rate": 0.000982370098114934, + "loss": 2.7251, + "step": 821 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009823117294204496, + "loss": 2.7499, + "step": 822 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009822532660024928, + "loss": 2.6879, + "step": 823 + }, + { + "epoch": 0.11, + "learning_rate": 0.000982194707872546, + "loss": 2.8146, + "step": 824 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009821360550421093, + "loss": 2.6892, + "step": 825 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009820773075227016, + "loss": 2.7544, + "step": 826 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009820184653258613, + "loss": 2.653, + "step": 827 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009819595284631443, + "loss": 2.723, + "step": 828 + }, + { + "epoch": 0.11, + "learning_rate": 0.000981900496946125, + "loss": 2.6164, + "step": 829 + }, + { + "epoch": 0.11, + "learning_rate": 0.000981841370786398, + "loss": 2.7081, + "step": 830 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009817821499955744, + "loss": 2.5643, + "step": 831 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009817228345852852, + "loss": 2.8546, + "step": 832 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009816634245671796, + "loss": 2.6067, + "step": 833 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009816039199529256, + "loss": 2.7391, + "step": 834 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009815443207542092, + "loss": 2.7385, + "step": 835 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009814846269827358, + "loss": 2.7026, + "step": 836 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009814248386502285, + "loss": 2.8108, + "step": 837 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009813649557684299, + "loss": 2.6514, + "step": 838 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009813049783491002, + "loss": 2.7022, + "step": 839 + }, + { + "epoch": 0.11, + "learning_rate": 0.000981244906404019, + "loss": 2.61, + "step": 840 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009811847399449837, + "loss": 2.7505, + "step": 841 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009811244789838115, + "loss": 2.6773, + "step": 842 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009810641235323363, + "loss": 2.6978, + "step": 843 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009810036736024124, + "loss": 2.7371, + "step": 844 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009809431292059113, + "loss": 2.7226, + "step": 845 + }, + { + "epoch": 0.12, + "learning_rate": 0.000980882490354724, + "loss": 2.6999, + "step": 846 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009808217570607593, + "loss": 2.6874, + "step": 847 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009807609293359452, + "loss": 2.4661, + "step": 848 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009807000071922279, + "loss": 2.737, + "step": 849 + }, + { + "epoch": 0.12, + "learning_rate": 0.000980638990641572, + "loss": 2.6802, + "step": 850 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009805778796959609, + "loss": 2.7264, + "step": 851 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009805166743673966, + "loss": 2.6227, + "step": 852 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009804553746678992, + "loss": 2.8043, + "step": 853 + }, + { + "epoch": 0.12, + "learning_rate": 0.000980393980609508, + "loss": 2.8163, + "step": 854 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009803324922042804, + "loss": 2.6841, + "step": 855 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009802709094642922, + "loss": 2.7734, + "step": 856 + }, + { + "epoch": 0.12, + "learning_rate": 0.000980209232401638, + "loss": 2.8419, + "step": 857 + }, + { + "epoch": 0.12, + "learning_rate": 0.000980147461028431, + "loss": 2.7986, + "step": 858 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009800855953568024, + "loss": 2.7682, + "step": 859 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009800236353989028, + "loss": 2.781, + "step": 860 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009799615811669003, + "loss": 2.7495, + "step": 861 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009798994326729825, + "loss": 2.9475, + "step": 862 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009798371899293547, + "loss": 2.7745, + "step": 863 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009797748529482412, + "loss": 2.863, + "step": 864 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009797124217418847, + "loss": 2.8293, + "step": 865 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009796498963225459, + "loss": 2.7853, + "step": 866 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009795872767025052, + "loss": 2.7194, + "step": 867 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009795245628940602, + "loss": 2.6158, + "step": 868 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009794617549095277, + "loss": 2.6654, + "step": 869 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009793988527612432, + "loss": 2.784, + "step": 870 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009793358564615597, + "loss": 2.7278, + "step": 871 + }, + { + "epoch": 0.12, + "learning_rate": 0.00097927276602285, + "loss": 2.7479, + "step": 872 + }, + { + "epoch": 0.12, + "learning_rate": 0.000979209581457504, + "loss": 2.7635, + "step": 873 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009791463027779318, + "loss": 2.6617, + "step": 874 + }, + { + "epoch": 0.12, + "learning_rate": 0.00097908292999656, + "loss": 2.6033, + "step": 875 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009790194631258352, + "loss": 2.6939, + "step": 876 + }, + { + "epoch": 0.12, + "learning_rate": 0.000978955902178222, + "loss": 2.6085, + "step": 877 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009788922471662032, + "loss": 2.6142, + "step": 878 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009788284981022805, + "loss": 2.7056, + "step": 879 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009787646549989737, + "loss": 2.618, + "step": 880 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009787007178688213, + "loss": 2.6256, + "step": 881 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009786366867243802, + "loss": 2.7132, + "step": 882 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009785725615782262, + "loss": 2.5542, + "step": 883 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009785083424429524, + "loss": 2.6687, + "step": 884 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009784440293311716, + "loss": 2.7282, + "step": 885 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009783796222555144, + "loss": 2.7853, + "step": 886 + }, + { + "epoch": 0.12, + "learning_rate": 0.00097831512122863, + "loss": 2.7427, + "step": 887 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009782505262631862, + "loss": 2.6232, + "step": 888 + }, + { + "epoch": 0.12, + "learning_rate": 0.000978185837371869, + "loss": 2.7762, + "step": 889 + }, + { + "epoch": 0.12, + "learning_rate": 0.000978121054567383, + "loss": 2.6983, + "step": 890 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009780561778624508, + "loss": 2.5982, + "step": 891 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009779912072698147, + "loss": 2.6945, + "step": 892 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009779261428022336, + "loss": 2.6329, + "step": 893 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009778609844724867, + "loss": 2.821, + "step": 894 + }, + { + "epoch": 0.12, + "learning_rate": 0.00097779573229337, + "loss": 2.7312, + "step": 895 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009777303862776993, + "loss": 2.7998, + "step": 896 + }, + { + "epoch": 0.12, + "learning_rate": 0.000977664946438308, + "loss": 2.7343, + "step": 897 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009775994127880479, + "loss": 2.6572, + "step": 898 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009775337853397896, + "loss": 2.7292, + "step": 899 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009774680641064222, + "loss": 2.6033, + "step": 900 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009774022491008528, + "loss": 2.6175, + "step": 901 + }, + { + "epoch": 0.12, + "learning_rate": 0.000977336340336007, + "loss": 2.6591, + "step": 902 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009772703378248292, + "loss": 2.9249, + "step": 903 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009772042415802818, + "loss": 2.8807, + "step": 904 + }, + { + "epoch": 0.12, + "learning_rate": 0.000977138051615346, + "loss": 2.6575, + "step": 905 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009770717679430205, + "loss": 2.7774, + "step": 906 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009770053905763239, + "loss": 2.6516, + "step": 907 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009769389195282915, + "loss": 2.9628, + "step": 908 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009768723548119788, + "loss": 2.6432, + "step": 909 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009768056964404581, + "loss": 2.6433, + "step": 910 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009767389444268208, + "loss": 2.7655, + "step": 911 + }, + { + "epoch": 0.12, + "learning_rate": 0.000976672098784177, + "loss": 2.7505, + "step": 912 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009766051595256546, + "loss": 2.718, + "step": 913 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009765381266644, + "loss": 2.6595, + "step": 914 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009764710002135784, + "loss": 2.5328, + "step": 915 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009764037801863727, + "loss": 2.816, + "step": 916 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009763364665959849, + "loss": 2.6107, + "step": 917 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009762690594556347, + "loss": 2.734, + "step": 918 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009762015587785609, + "loss": 2.7671, + "step": 919 + }, + { + "epoch": 0.13, + "learning_rate": 0.00097613396457802, + "loss": 2.7174, + "step": 920 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009760662768672872, + "loss": 2.6318, + "step": 921 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009759984956596562, + "loss": 2.7471, + "step": 922 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009759306209684384, + "loss": 2.7115, + "step": 923 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009758626528069646, + "loss": 2.7578, + "step": 924 + }, + { + "epoch": 0.13, + "learning_rate": 0.000975794591188583, + "loss": 2.7224, + "step": 925 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009757264361266607, + "loss": 2.6638, + "step": 926 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009756581876345829, + "loss": 2.7052, + "step": 927 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009755898457257532, + "loss": 2.6091, + "step": 928 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009755214104135939, + "loss": 2.7879, + "step": 929 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009754528817115452, + "loss": 2.6028, + "step": 930 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009753842596330653, + "loss": 2.6033, + "step": 931 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009753155441916319, + "loss": 2.8349, + "step": 932 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009752467354007399, + "loss": 2.6471, + "step": 933 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009751778332739033, + "loss": 2.8591, + "step": 934 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009751088378246539, + "loss": 2.6536, + "step": 935 + }, + { + "epoch": 0.13, + "learning_rate": 0.000975039749066542, + "loss": 2.7523, + "step": 936 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009749705670131363, + "loss": 2.6325, + "step": 937 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009749012916780241, + "loss": 2.667, + "step": 938 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009748319230748104, + "loss": 2.7902, + "step": 939 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009747624612171188, + "loss": 2.7208, + "step": 940 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009746929061185912, + "loss": 2.7544, + "step": 941 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009746232577928881, + "loss": 2.7189, + "step": 942 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009745535162536881, + "loss": 2.6996, + "step": 943 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009744836815146877, + "loss": 2.5719, + "step": 944 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009744137535896022, + "loss": 2.6251, + "step": 945 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009743437324921655, + "loss": 2.6032, + "step": 946 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009742736182361289, + "loss": 2.8309, + "step": 947 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009742034108352624, + "loss": 2.6571, + "step": 948 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009741331103033547, + "loss": 2.6091, + "step": 949 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009740627166542125, + "loss": 2.7121, + "step": 950 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009739922299016601, + "loss": 2.7393, + "step": 951 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009739216500595416, + "loss": 2.7044, + "step": 952 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009738509771417179, + "loss": 2.5732, + "step": 953 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009737802111620691, + "loss": 2.868, + "step": 954 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009737093521344931, + "loss": 2.7834, + "step": 955 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009736384000729062, + "loss": 2.5783, + "step": 956 + }, + { + "epoch": 0.13, + "learning_rate": 0.000973567354991243, + "loss": 2.6701, + "step": 957 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009734962169034567, + "loss": 2.6024, + "step": 958 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009734249858235181, + "loss": 2.7184, + "step": 959 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009733536617654166, + "loss": 2.7449, + "step": 960 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009732822447431602, + "loss": 2.699, + "step": 961 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009732107347707745, + "loss": 2.6222, + "step": 962 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009731391318623038, + "loss": 2.7406, + "step": 963 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009730674360318106, + "loss": 2.6728, + "step": 964 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009729956472933754, + "loss": 2.6216, + "step": 965 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009729237656610972, + "loss": 2.613, + "step": 966 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009728517911490932, + "loss": 2.7182, + "step": 967 + }, + { + "epoch": 0.13, + "learning_rate": 0.000972779723771499, + "loss": 2.6606, + "step": 968 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009727075635424681, + "loss": 2.7901, + "step": 969 + }, + { + "epoch": 0.13, + "learning_rate": 0.000972635310476172, + "loss": 2.6808, + "step": 970 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009725629645868014, + "loss": 2.7874, + "step": 971 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009724905258885646, + "loss": 2.6497, + "step": 972 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009724179943956878, + "loss": 2.8652, + "step": 973 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009723453701224161, + "loss": 2.5505, + "step": 974 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009722726530830123, + "loss": 2.6208, + "step": 975 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009721998432917578, + "loss": 2.7838, + "step": 976 + }, + { + "epoch": 0.13, + "learning_rate": 0.000972126940762952, + "loss": 2.5574, + "step": 977 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009720539455109128, + "loss": 2.7849, + "step": 978 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009719808575499758, + "loss": 2.7261, + "step": 979 + }, + { + "epoch": 0.13, + "learning_rate": 0.000971907676894495, + "loss": 2.7798, + "step": 980 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009718344035588431, + "loss": 2.61, + "step": 981 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009717610375574102, + "loss": 2.8083, + "step": 982 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009716875789046053, + "loss": 2.6793, + "step": 983 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009716140276148549, + "loss": 2.618, + "step": 984 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009715403837026045, + "loss": 2.682, + "step": 985 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009714666471823172, + "loss": 2.8072, + "step": 986 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009713928180684746, + "loss": 2.6973, + "step": 987 + }, + { + "epoch": 0.14, + "learning_rate": 0.000971318896375576, + "loss": 2.6326, + "step": 988 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009712448821181394, + "loss": 2.7197, + "step": 989 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009711707753107011, + "loss": 2.594, + "step": 990 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009710965759678149, + "loss": 2.7043, + "step": 991 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009710222841040532, + "loss": 2.8493, + "step": 992 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009709478997340068, + "loss": 2.6878, + "step": 993 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009708734228722841, + "loss": 2.6572, + "step": 994 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009707988535335121, + "loss": 2.6788, + "step": 995 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009707241917323358, + "loss": 2.6209, + "step": 996 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009706494374834185, + "loss": 2.5304, + "step": 997 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009705745908014414, + "loss": 2.7306, + "step": 998 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009704996517011039, + "loss": 2.9155, + "step": 999 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009704246201971238, + "loss": 2.6373, + "step": 1000 + }, + { + "epoch": 0.14, + "learning_rate": 0.000970349496304237, + "loss": 2.6731, + "step": 1001 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009702742800371971, + "loss": 2.6439, + "step": 1002 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009701989714107764, + "loss": 3.0199, + "step": 1003 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009701235704397652, + "loss": 2.8486, + "step": 1004 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009700480771389717, + "loss": 2.6364, + "step": 1005 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009699724915232224, + "loss": 2.8553, + "step": 1006 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009698968136073619, + "loss": 2.7737, + "step": 1007 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009698210434062529, + "loss": 2.8553, + "step": 1008 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009697451809347764, + "loss": 2.881, + "step": 1009 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009696692262078315, + "loss": 2.7999, + "step": 1010 + }, + { + "epoch": 0.14, + "learning_rate": 0.000969593179240335, + "loss": 2.8114, + "step": 1011 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009695170400472222, + "loss": 2.7979, + "step": 1012 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009694408086434465, + "loss": 2.7991, + "step": 1013 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009693644850439796, + "loss": 2.6841, + "step": 1014 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009692880692638104, + "loss": 2.7801, + "step": 1015 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009692115613179473, + "loss": 2.7174, + "step": 1016 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009691349612214156, + "loss": 2.71, + "step": 1017 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009690582689892591, + "loss": 2.7014, + "step": 1018 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009689814846365399, + "loss": 2.6669, + "step": 1019 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009689046081783381, + "loss": 2.8821, + "step": 1020 + }, + { + "epoch": 0.14, + "learning_rate": 0.000968827639629752, + "loss": 2.6768, + "step": 1021 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009687505790058973, + "loss": 2.7116, + "step": 1022 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009686734263219087, + "loss": 2.5558, + "step": 1023 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009685961815929384, + "loss": 2.7073, + "step": 1024 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009685188448341571, + "loss": 2.7237, + "step": 1025 + }, + { + "epoch": 0.14, + "learning_rate": 0.000968441416060753, + "loss": 2.651, + "step": 1026 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009683638952879328, + "loss": 2.5866, + "step": 1027 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009682862825309214, + "loss": 2.7044, + "step": 1028 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009682085778049613, + "loss": 2.9246, + "step": 1029 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009681307811253133, + "loss": 2.8066, + "step": 1030 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009680528925072563, + "loss": 2.8306, + "step": 1031 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009679749119660873, + "loss": 2.7944, + "step": 1032 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009678968395171213, + "loss": 2.7713, + "step": 1033 + }, + { + "epoch": 0.14, + "learning_rate": 0.000967818675175691, + "loss": 2.6559, + "step": 1034 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009677404189571478, + "loss": 2.7324, + "step": 1035 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009676620708768607, + "loss": 2.7322, + "step": 1036 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009675836309502166, + "loss": 2.6505, + "step": 1037 + }, + { + "epoch": 0.14, + "learning_rate": 0.000967505099192621, + "loss": 2.7586, + "step": 1038 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009674264756194973, + "loss": 2.6895, + "step": 1039 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009673477602462861, + "loss": 2.7067, + "step": 1040 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009672689530884473, + "loss": 2.7258, + "step": 1041 + }, + { + "epoch": 0.14, + "learning_rate": 0.000967190054161458, + "loss": 2.8083, + "step": 1042 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009671110634808135, + "loss": 2.7842, + "step": 1043 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009670319810620271, + "loss": 2.6322, + "step": 1044 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009669528069206302, + "loss": 2.7927, + "step": 1045 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009668735410721722, + "loss": 2.7345, + "step": 1046 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009667941835322207, + "loss": 2.7653, + "step": 1047 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009667147343163608, + "loss": 2.5679, + "step": 1048 + }, + { + "epoch": 0.14, + "learning_rate": 0.000966635193440196, + "loss": 2.781, + "step": 1049 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009665555609193477, + "loss": 2.7378, + "step": 1050 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009664758367694554, + "loss": 2.7201, + "step": 1051 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009663960210061764, + "loss": 2.7256, + "step": 1052 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009663161136451861, + "loss": 2.5816, + "step": 1053 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009662361147021779, + "loss": 2.6003, + "step": 1054 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009661560241928632, + "loss": 2.6675, + "step": 1055 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009660758421329714, + "loss": 2.7553, + "step": 1056 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009659955685382497, + "loss": 2.9413, + "step": 1057 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009659152034244634, + "loss": 2.6819, + "step": 1058 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009658347468073959, + "loss": 2.7033, + "step": 1059 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009657541987028484, + "loss": 2.6522, + "step": 1060 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009656735591266401, + "loss": 2.7269, + "step": 1061 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009655928280946083, + "loss": 2.8156, + "step": 1062 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009655120056226081, + "loss": 2.6485, + "step": 1063 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009654310917265124, + "loss": 2.6358, + "step": 1064 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009653500864222127, + "loss": 2.6159, + "step": 1065 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009652689897256175, + "loss": 2.6695, + "step": 1066 + }, + { + "epoch": 0.15, + "learning_rate": 0.000965187801652654, + "loss": 2.6306, + "step": 1067 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009651065222192672, + "loss": 2.854, + "step": 1068 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009650251514414198, + "loss": 2.8573, + "step": 1069 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009649436893350928, + "loss": 2.6682, + "step": 1070 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009648621359162847, + "loss": 2.7215, + "step": 1071 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009647804912010123, + "loss": 2.662, + "step": 1072 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009646987552053099, + "loss": 2.7018, + "step": 1073 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009646169279452305, + "loss": 2.6295, + "step": 1074 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009645350094368441, + "loss": 2.7635, + "step": 1075 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009644529996962395, + "loss": 2.5787, + "step": 1076 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009643708987395226, + "loss": 2.8403, + "step": 1077 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009642887065828176, + "loss": 2.5664, + "step": 1078 + }, + { + "epoch": 0.15, + "learning_rate": 0.000964206423242267, + "loss": 2.5636, + "step": 1079 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009641240487340303, + "loss": 2.8759, + "step": 1080 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009640415830742857, + "loss": 2.7837, + "step": 1081 + }, + { + "epoch": 0.15, + "learning_rate": 0.000963959026279229, + "loss": 2.6878, + "step": 1082 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009638763783650739, + "loss": 2.4771, + "step": 1083 + }, + { + "epoch": 0.15, + "learning_rate": 0.000963793639348052, + "loss": 2.7892, + "step": 1084 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009637108092444129, + "loss": 2.7498, + "step": 1085 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009636278880704239, + "loss": 2.7257, + "step": 1086 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009635448758423702, + "loss": 2.8946, + "step": 1087 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009634617725765551, + "loss": 2.6435, + "step": 1088 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009633785782892997, + "loss": 2.7145, + "step": 1089 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009632952929969425, + "loss": 2.5622, + "step": 1090 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009632119167158409, + "loss": 2.6657, + "step": 1091 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009631284494623691, + "loss": 2.4791, + "step": 1092 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009630448912529199, + "loss": 2.9066, + "step": 1093 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009629612421039036, + "loss": 2.7727, + "step": 1094 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009628775020317483, + "loss": 2.7523, + "step": 1095 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009627936710529003, + "loss": 2.5034, + "step": 1096 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009627097491838234, + "loss": 2.619, + "step": 1097 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009626257364409997, + "loss": 2.7025, + "step": 1098 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009625416328409286, + "loss": 2.6571, + "step": 1099 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009624574384001276, + "loss": 2.6978, + "step": 1100 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009623731531351322, + "loss": 2.6141, + "step": 1101 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009622887770624953, + "loss": 2.8868, + "step": 1102 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009622043101987885, + "loss": 2.8167, + "step": 1103 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009621197525605999, + "loss": 2.6598, + "step": 1104 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009620351041645366, + "loss": 2.7155, + "step": 1105 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009619503650272231, + "loss": 2.7927, + "step": 1106 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009618655351653016, + "loss": 2.6242, + "step": 1107 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009617806145954322, + "loss": 2.7573, + "step": 1108 + }, + { + "epoch": 0.15, + "learning_rate": 0.000961695603334293, + "loss": 2.7283, + "step": 1109 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009616105013985798, + "loss": 2.6826, + "step": 1110 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009615253088050058, + "loss": 2.4381, + "step": 1111 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009614400255703029, + "loss": 2.5973, + "step": 1112 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009613546517112199, + "loss": 2.6334, + "step": 1113 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009612691872445239, + "loss": 2.6711, + "step": 1114 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009611836321869996, + "loss": 2.6977, + "step": 1115 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009610979865554497, + "loss": 2.6782, + "step": 1116 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009610122503666944, + "loss": 2.677, + "step": 1117 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009609264236375719, + "loss": 2.59, + "step": 1118 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009608405063849381, + "loss": 2.6094, + "step": 1119 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009607544986256667, + "loss": 2.5851, + "step": 1120 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009606684003766493, + "loss": 2.6789, + "step": 1121 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009605822116547949, + "loss": 2.5148, + "step": 1122 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009604959324770306, + "loss": 2.5889, + "step": 1123 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009604095628603013, + "loss": 2.7381, + "step": 1124 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009603231028215693, + "loss": 2.6713, + "step": 1125 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009602365523778152, + "loss": 2.6614, + "step": 1126 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009601499115460368, + "loss": 2.6893, + "step": 1127 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009600631803432499, + "loss": 2.5197, + "step": 1128 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009599763587864882, + "loss": 2.5372, + "step": 1129 + }, + { + "epoch": 0.15, + "learning_rate": 0.000959889446892803, + "loss": 2.7565, + "step": 1130 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009598024446792632, + "loss": 2.7159, + "step": 1131 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009597153521629556, + "loss": 2.5786, + "step": 1132 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009596281693609848, + "loss": 2.7303, + "step": 1133 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009595408962904728, + "loss": 2.6355, + "step": 1134 + }, + { + "epoch": 0.16, + "learning_rate": 0.00095945353296856, + "loss": 2.7378, + "step": 1135 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009593660794124038, + "loss": 2.6375, + "step": 1136 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009592785356391795, + "loss": 2.4884, + "step": 1137 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009591909016660806, + "loss": 2.6537, + "step": 1138 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009591031775103176, + "loss": 2.6473, + "step": 1139 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009590153631891193, + "loss": 2.8148, + "step": 1140 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009589274587197318, + "loss": 2.6422, + "step": 1141 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009588394641194193, + "loss": 2.6583, + "step": 1142 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009587513794054632, + "loss": 2.8454, + "step": 1143 + }, + { + "epoch": 0.16, + "learning_rate": 0.000958663204595163, + "loss": 2.6365, + "step": 1144 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009585749397058357, + "loss": 2.6585, + "step": 1145 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009584865847548162, + "loss": 2.7124, + "step": 1146 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009583981397594569, + "loss": 2.7068, + "step": 1147 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009583096047371278, + "loss": 2.7912, + "step": 1148 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009582209797052168, + "loss": 2.6725, + "step": 1149 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009581322646811294, + "loss": 2.7083, + "step": 1150 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009580434596822889, + "loss": 2.5889, + "step": 1151 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009579545647261359, + "loss": 2.6992, + "step": 1152 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009578655798301289, + "loss": 2.66, + "step": 1153 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009577765050117441, + "loss": 2.5729, + "step": 1154 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009576873402884756, + "loss": 2.6134, + "step": 1155 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009575980856778344, + "loss": 2.5795, + "step": 1156 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009575087411973501, + "loss": 2.7248, + "step": 1157 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009574193068645692, + "loss": 2.6625, + "step": 1158 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009573297826970562, + "loss": 2.7067, + "step": 1159 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009572401687123931, + "loss": 2.7871, + "step": 1160 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009571504649281795, + "loss": 2.621, + "step": 1161 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009570606713620333, + "loss": 2.6579, + "step": 1162 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009569707880315889, + "loss": 2.6155, + "step": 1163 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009568808149544992, + "loss": 2.7266, + "step": 1164 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009567907521484343, + "loss": 2.6247, + "step": 1165 + }, + { + "epoch": 0.16, + "learning_rate": 0.000956700599631082, + "loss": 2.6834, + "step": 1166 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009566103574201482, + "loss": 2.556, + "step": 1167 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009565200255333555, + "loss": 2.6808, + "step": 1168 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009564296039884447, + "loss": 2.5459, + "step": 1169 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009563390928031743, + "loss": 2.6348, + "step": 1170 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009562484919953202, + "loss": 2.5148, + "step": 1171 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009561578015826757, + "loss": 2.6011, + "step": 1172 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009560670215830522, + "loss": 2.7482, + "step": 1173 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009559761520142781, + "loss": 2.8027, + "step": 1174 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009558851928942, + "loss": 2.6451, + "step": 1175 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009557941442406817, + "loss": 2.6731, + "step": 1176 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009557030060716045, + "loss": 2.7459, + "step": 1177 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009556117784048677, + "loss": 2.6517, + "step": 1178 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009555204612583878, + "loss": 2.6891, + "step": 1179 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009554290546500989, + "loss": 2.6196, + "step": 1180 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009553375585979532, + "loss": 2.5863, + "step": 1181 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009552459731199195, + "loss": 2.6454, + "step": 1182 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009551542982339849, + "loss": 2.6235, + "step": 1183 + }, + { + "epoch": 0.16, + "learning_rate": 0.000955062533958154, + "loss": 2.4909, + "step": 1184 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009549706803104488, + "loss": 2.6358, + "step": 1185 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009548787373089087, + "loss": 2.6116, + "step": 1186 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009547867049715908, + "loss": 2.7389, + "step": 1187 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009546945833165701, + "loss": 2.6505, + "step": 1188 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009546023723619386, + "loss": 2.6142, + "step": 1189 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009545100721258059, + "loss": 2.614, + "step": 1190 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009544176826262994, + "loss": 2.5221, + "step": 1191 + }, + { + "epoch": 0.16, + "learning_rate": 0.000954325203881564, + "loss": 2.6014, + "step": 1192 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009542326359097619, + "loss": 2.6427, + "step": 1193 + }, + { + "epoch": 0.16, + "learning_rate": 0.000954139978729073, + "loss": 2.6675, + "step": 1194 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009540472323576948, + "loss": 2.6528, + "step": 1195 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009539543968138419, + "loss": 2.495, + "step": 1196 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009538614721157471, + "loss": 2.6264, + "step": 1197 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009537684582816599, + "loss": 2.6483, + "step": 1198 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009536753553298481, + "loss": 2.6299, + "step": 1199 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009535821632785964, + "loss": 2.5555, + "step": 1200 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009534888821462074, + "loss": 2.58, + "step": 1201 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009533955119510008, + "loss": 2.5903, + "step": 1202 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009533020527113142, + "loss": 2.5047, + "step": 1203 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009532085044455023, + "loss": 2.5663, + "step": 1204 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009531148671719378, + "loss": 2.5585, + "step": 1205 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009530211409090103, + "loss": 2.7651, + "step": 1206 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009529273256751272, + "loss": 2.6383, + "step": 1207 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009528334214887133, + "loss": 2.5677, + "step": 1208 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009527394283682111, + "loss": 2.607, + "step": 1209 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009526453463320801, + "loss": 2.683, + "step": 1210 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009525511753987974, + "loss": 2.61, + "step": 1211 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009524569155868581, + "loss": 2.6352, + "step": 1212 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009523625669147739, + "loss": 2.6461, + "step": 1213 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009522681294010747, + "loss": 2.5844, + "step": 1214 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009521736030643074, + "loss": 2.4651, + "step": 1215 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009520789879230365, + "loss": 2.5766, + "step": 1216 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009519842839958438, + "loss": 2.5423, + "step": 1217 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009518894913013288, + "loss": 2.5529, + "step": 1218 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009517946098581081, + "loss": 2.5841, + "step": 1219 + }, + { + "epoch": 0.17, + "learning_rate": 0.000951699639684816, + "loss": 2.5814, + "step": 1220 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009516045808001044, + "loss": 2.7076, + "step": 1221 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009515094332226419, + "loss": 2.5705, + "step": 1222 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009514141969711155, + "loss": 2.6465, + "step": 1223 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009513188720642285, + "loss": 2.516, + "step": 1224 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009512234585207027, + "loss": 2.5712, + "step": 1225 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009511279563592767, + "loss": 2.5652, + "step": 1226 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009510323655987063, + "loss": 2.5077, + "step": 1227 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009509366862577656, + "loss": 2.4909, + "step": 1228 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009508409183552449, + "loss": 2.3999, + "step": 1229 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009507450619099529, + "loss": 2.547, + "step": 1230 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009506491169407152, + "loss": 2.7065, + "step": 1231 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009505530834663748, + "loss": 2.5344, + "step": 1232 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009504569615057923, + "loss": 2.5674, + "step": 1233 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009503607510778456, + "loss": 2.713, + "step": 1234 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009502644522014297, + "loss": 2.7668, + "step": 1235 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009501680648954573, + "loss": 2.6352, + "step": 1236 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009500715891788584, + "loss": 2.5926, + "step": 1237 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009499750250705803, + "loss": 2.5452, + "step": 1238 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009498783725895877, + "loss": 2.4862, + "step": 1239 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009497816317548624, + "loss": 2.5893, + "step": 1240 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009496848025854042, + "loss": 2.6225, + "step": 1241 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009495878851002294, + "loss": 2.7667, + "step": 1242 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009494908793183724, + "loss": 2.7403, + "step": 1243 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009493937852588845, + "loss": 2.6676, + "step": 1244 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009492966029408345, + "loss": 2.4896, + "step": 1245 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009491993323833086, + "loss": 2.5579, + "step": 1246 + }, + { + "epoch": 0.17, + "learning_rate": 0.00094910197360541, + "loss": 2.4753, + "step": 1247 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009490045266262595, + "loss": 2.6143, + "step": 1248 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009489069914649953, + "loss": 2.8279, + "step": 1249 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009488093681407725, + "loss": 2.6495, + "step": 1250 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009487116566727643, + "loss": 2.6199, + "step": 1251 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009486138570801604, + "loss": 2.6864, + "step": 1252 + }, + { + "epoch": 0.17, + "learning_rate": 0.000948515969382168, + "loss": 2.6887, + "step": 1253 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009484179935980119, + "loss": 2.5861, + "step": 1254 + }, + { + "epoch": 0.17, + "learning_rate": 0.000948319929746934, + "loss": 2.6544, + "step": 1255 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009482217778481936, + "loss": 2.6354, + "step": 1256 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009481235379210671, + "loss": 2.5664, + "step": 1257 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009480252099848484, + "loss": 2.5557, + "step": 1258 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009479267940588485, + "loss": 2.5722, + "step": 1259 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009478282901623958, + "loss": 2.5365, + "step": 1260 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009477296983148358, + "loss": 2.5721, + "step": 1261 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009476310185355317, + "loss": 2.6401, + "step": 1262 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009475322508438635, + "loss": 2.567, + "step": 1263 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009474333952592287, + "loss": 2.5328, + "step": 1264 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009473344518010421, + "loss": 2.6091, + "step": 1265 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009472354204887355, + "loss": 2.5024, + "step": 1266 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009471363013417581, + "loss": 2.5085, + "step": 1267 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009470370943795765, + "loss": 2.5579, + "step": 1268 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009469377996216746, + "loss": 2.6886, + "step": 1269 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009468384170875531, + "loss": 2.6581, + "step": 1270 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009467389467967301, + "loss": 2.6025, + "step": 1271 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009466393887687414, + "loss": 2.5383, + "step": 1272 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009465397430231393, + "loss": 2.6753, + "step": 1273 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009464400095794941, + "loss": 2.4244, + "step": 1274 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009463401884573925, + "loss": 2.587, + "step": 1275 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009462402796764391, + "loss": 2.5549, + "step": 1276 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009461402832562554, + "loss": 2.6183, + "step": 1277 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009460401992164802, + "loss": 2.5696, + "step": 1278 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009459400275767696, + "loss": 2.6912, + "step": 1279 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009458397683567963, + "loss": 2.7235, + "step": 1280 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009457394215762513, + "loss": 2.5961, + "step": 1281 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009456389872548416, + "loss": 2.5666, + "step": 1282 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009455384654122925, + "loss": 2.4844, + "step": 1283 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009454378560683456, + "loss": 2.6179, + "step": 1284 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009453371592427601, + "loss": 2.5425, + "step": 1285 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009452363749553124, + "loss": 2.4307, + "step": 1286 + }, + { + "epoch": 0.18, + "learning_rate": 0.000945135503225796, + "loss": 2.6022, + "step": 1287 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009450345440740216, + "loss": 2.583, + "step": 1288 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009449334975198168, + "loss": 2.5139, + "step": 1289 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009448323635830269, + "loss": 2.5182, + "step": 1290 + }, + { + "epoch": 0.18, + "learning_rate": 0.000944731142283514, + "loss": 2.5817, + "step": 1291 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009446298336411574, + "loss": 2.5491, + "step": 1292 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009445284376758536, + "loss": 2.58, + "step": 1293 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009444269544075162, + "loss": 2.6736, + "step": 1294 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009443253838560759, + "loss": 2.5894, + "step": 1295 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009442237260414807, + "loss": 2.572, + "step": 1296 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009441219809836959, + "loss": 2.7336, + "step": 1297 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009440201487027031, + "loss": 2.5702, + "step": 1298 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009439182292185022, + "loss": 2.6086, + "step": 1299 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009438162225511096, + "loss": 2.6984, + "step": 1300 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009437141287205584, + "loss": 2.6087, + "step": 1301 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009436119477468996, + "loss": 2.551, + "step": 1302 + }, + { + "epoch": 0.18, + "learning_rate": 0.000943509679650201, + "loss": 2.493, + "step": 1303 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009434073244505476, + "loss": 2.7052, + "step": 1304 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009433048821680413, + "loss": 2.6433, + "step": 1305 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009432023528228011, + "loss": 2.5696, + "step": 1306 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009430997364349634, + "loss": 2.5937, + "step": 1307 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009429970330246816, + "loss": 2.7415, + "step": 1308 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009428942426121258, + "loss": 2.6257, + "step": 1309 + }, + { + "epoch": 0.18, + "learning_rate": 0.000942791365217484, + "loss": 2.5128, + "step": 1310 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009426884008609602, + "loss": 2.5887, + "step": 1311 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009425853495627763, + "loss": 2.5708, + "step": 1312 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009424822113431712, + "loss": 2.7295, + "step": 1313 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009423789862224004, + "loss": 2.6315, + "step": 1314 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009422756742207368, + "loss": 2.6129, + "step": 1315 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009421722753584706, + "loss": 2.5638, + "step": 1316 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009420687896559086, + "loss": 2.5305, + "step": 1317 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009419652171333748, + "loss": 2.52, + "step": 1318 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009418615578112104, + "loss": 2.8141, + "step": 1319 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009417578117097736, + "loss": 2.6438, + "step": 1320 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009416539788494394, + "loss": 2.696, + "step": 1321 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009415500592506001, + "loss": 2.6233, + "step": 1322 + }, + { + "epoch": 0.18, + "learning_rate": 0.000941446052933665, + "loss": 2.5698, + "step": 1323 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009413419599190604, + "loss": 2.4925, + "step": 1324 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009412377802272297, + "loss": 2.4825, + "step": 1325 + }, + { + "epoch": 0.18, + "learning_rate": 0.000941133513878633, + "loss": 2.7592, + "step": 1326 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009410291608937478, + "loss": 2.6297, + "step": 1327 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009409247212930683, + "loss": 2.7053, + "step": 1328 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009408201950971063, + "loss": 2.5441, + "step": 1329 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009407155823263898, + "loss": 2.6082, + "step": 1330 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009406108830014644, + "loss": 2.4319, + "step": 1331 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009405060971428923, + "loss": 2.5761, + "step": 1332 + }, + { + "epoch": 0.18, + "learning_rate": 0.000940401224771253, + "loss": 2.4344, + "step": 1333 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009402962659071431, + "loss": 2.4801, + "step": 1334 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009401912205711755, + "loss": 2.5717, + "step": 1335 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009400860887839811, + "loss": 2.4775, + "step": 1336 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009399808705662068, + "loss": 2.7347, + "step": 1337 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009398755659385168, + "loss": 2.679, + "step": 1338 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009397701749215929, + "loss": 2.6516, + "step": 1339 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009396646975361329, + "loss": 2.7721, + "step": 1340 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009395591338028522, + "loss": 2.5705, + "step": 1341 + }, + { + "epoch": 0.18, + "learning_rate": 0.000939453483742483, + "loss": 2.6498, + "step": 1342 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009393477473757741, + "loss": 2.6924, + "step": 1343 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009392419247234921, + "loss": 2.6029, + "step": 1344 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009391360158064192, + "loss": 2.6713, + "step": 1345 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009390300206453563, + "loss": 2.823, + "step": 1346 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009389239392611197, + "loss": 2.4499, + "step": 1347 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009388177716745432, + "loss": 2.438, + "step": 1348 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009387115179064777, + "loss": 2.5244, + "step": 1349 + }, + { + "epoch": 0.18, + "learning_rate": 0.000938605177977791, + "loss": 2.506, + "step": 1350 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009384987519093677, + "loss": 2.5148, + "step": 1351 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009383922397221089, + "loss": 2.668, + "step": 1352 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009382856414369336, + "loss": 2.6473, + "step": 1353 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009381789570747768, + "loss": 2.5637, + "step": 1354 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009380721866565908, + "loss": 2.6201, + "step": 1355 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009379653302033446, + "loss": 2.5333, + "step": 1356 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009378583877360246, + "loss": 2.6075, + "step": 1357 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009377513592756335, + "loss": 2.624, + "step": 1358 + }, + { + "epoch": 0.19, + "learning_rate": 0.000937644244843191, + "loss": 2.5498, + "step": 1359 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009375370444597342, + "loss": 2.5372, + "step": 1360 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009374297581463163, + "loss": 2.4945, + "step": 1361 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009373223859240079, + "loss": 2.6343, + "step": 1362 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009372149278138964, + "loss": 2.5363, + "step": 1363 + }, + { + "epoch": 0.19, + "learning_rate": 0.000937107383837086, + "loss": 2.5319, + "step": 1364 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009369997540146977, + "loss": 2.6916, + "step": 1365 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009368920383678694, + "loss": 2.6667, + "step": 1366 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009367842369177559, + "loss": 2.596, + "step": 1367 + }, + { + "epoch": 0.19, + "learning_rate": 0.000936676349685529, + "loss": 2.5091, + "step": 1368 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009365683766923771, + "loss": 2.6912, + "step": 1369 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009364603179595053, + "loss": 2.6461, + "step": 1370 + }, + { + "epoch": 0.19, + "learning_rate": 0.000936352173508136, + "loss": 2.5132, + "step": 1371 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009362439433595083, + "loss": 2.5436, + "step": 1372 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009361356275348776, + "loss": 2.4362, + "step": 1373 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009360272260555169, + "loss": 2.5181, + "step": 1374 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009359187389427157, + "loss": 2.5394, + "step": 1375 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009358101662177802, + "loss": 2.7203, + "step": 1376 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009357015079020334, + "loss": 2.5988, + "step": 1377 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009355927640168154, + "loss": 2.6141, + "step": 1378 + }, + { + "epoch": 0.19, + "learning_rate": 0.000935483934583483, + "loss": 2.5374, + "step": 1379 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009353750196234092, + "loss": 2.4861, + "step": 1380 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009352660191579849, + "loss": 2.5837, + "step": 1381 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009351569332086171, + "loss": 2.5572, + "step": 1382 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009350477617967295, + "loss": 2.5613, + "step": 1383 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009349385049437629, + "loss": 2.5505, + "step": 1384 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009348291626711747, + "loss": 2.7324, + "step": 1385 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009347197350004393, + "loss": 2.6618, + "step": 1386 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009346102219530476, + "loss": 2.7436, + "step": 1387 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009345006235505076, + "loss": 2.6648, + "step": 1388 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009343909398143433, + "loss": 2.564, + "step": 1389 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009342811707660966, + "loss": 2.6511, + "step": 1390 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009341713164273253, + "loss": 2.5274, + "step": 1391 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009340613768196042, + "loss": 2.4894, + "step": 1392 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009339513519645248, + "loss": 2.5909, + "step": 1393 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009338412418836957, + "loss": 2.6448, + "step": 1394 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009337310465987416, + "loss": 2.5533, + "step": 1395 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009336207661313045, + "loss": 2.6237, + "step": 1396 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009335104005030425, + "loss": 2.4425, + "step": 1397 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009333999497356314, + "loss": 2.5438, + "step": 1398 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009332894138507628, + "loss": 2.4882, + "step": 1399 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009331787928701455, + "loss": 2.5342, + "step": 1400 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009330680868155048, + "loss": 2.5165, + "step": 1401 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009329572957085827, + "loss": 2.5841, + "step": 1402 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009328464195711381, + "loss": 2.5997, + "step": 1403 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009327354584249465, + "loss": 2.5247, + "step": 1404 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009326244122918, + "loss": 2.4094, + "step": 1405 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009325132811935075, + "loss": 2.5467, + "step": 1406 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009324020651518948, + "loss": 2.5283, + "step": 1407 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009322907641888037, + "loss": 2.616, + "step": 1408 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009321793783260934, + "loss": 2.4909, + "step": 1409 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009320679075856395, + "loss": 2.5091, + "step": 1410 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009319563519893341, + "loss": 2.5515, + "step": 1411 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009318447115590864, + "loss": 2.4538, + "step": 1412 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009317329863168217, + "loss": 2.6048, + "step": 1413 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009316211762844824, + "loss": 2.5744, + "step": 1414 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009315092814840273, + "loss": 2.5636, + "step": 1415 + }, + { + "epoch": 0.19, + "learning_rate": 0.000931397301937432, + "loss": 2.5198, + "step": 1416 + }, + { + "epoch": 0.19, + "learning_rate": 0.000931285237666689, + "loss": 2.4129, + "step": 1417 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009311730886938064, + "loss": 2.4155, + "step": 1418 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009310608550408104, + "loss": 2.463, + "step": 1419 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009309485367297427, + "loss": 2.6226, + "step": 1420 + }, + { + "epoch": 0.19, + "learning_rate": 0.000930836133782662, + "loss": 2.4944, + "step": 1421 + }, + { + "epoch": 0.19, + "learning_rate": 0.000930723646221644, + "loss": 2.6588, + "step": 1422 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009306110740687803, + "loss": 2.5804, + "step": 1423 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009304984173461796, + "loss": 2.5517, + "step": 1424 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009303856760759671, + "loss": 2.6828, + "step": 1425 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009302728502802845, + "loss": 2.6047, + "step": 1426 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009301599399812904, + "loss": 2.4898, + "step": 1427 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009300469452011595, + "loss": 2.4888, + "step": 1428 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009299338659620836, + "loss": 2.6169, + "step": 1429 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009298207022862708, + "loss": 2.5717, + "step": 1430 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009297074541959458, + "loss": 2.5192, + "step": 1431 + }, + { + "epoch": 0.2, + "learning_rate": 0.00092959412171335, + "loss": 2.4818, + "step": 1432 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009294807048607412, + "loss": 2.6192, + "step": 1433 + }, + { + "epoch": 0.2, + "learning_rate": 0.000929367203660394, + "loss": 2.6659, + "step": 1434 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009292536181345994, + "loss": 2.7339, + "step": 1435 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009291399483056648, + "loss": 2.5439, + "step": 1436 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009290261941959146, + "loss": 2.6092, + "step": 1437 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009289123558276895, + "loss": 2.6237, + "step": 1438 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009287984332233466, + "loss": 2.5943, + "step": 1439 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009286844264052599, + "loss": 2.5187, + "step": 1440 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009285703353958195, + "loss": 2.4741, + "step": 1441 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009284561602174324, + "loss": 2.3556, + "step": 1442 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009283419008925218, + "loss": 2.469, + "step": 1443 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009282275574435281, + "loss": 2.4239, + "step": 1444 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009281131298929074, + "loss": 2.5685, + "step": 1445 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009279986182631325, + "loss": 2.5347, + "step": 1446 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009278840225766932, + "loss": 2.6405, + "step": 1447 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009277693428560953, + "loss": 2.5043, + "step": 1448 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009276545791238618, + "loss": 2.5845, + "step": 1449 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009275397314025309, + "loss": 2.5087, + "step": 1450 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009274247997146585, + "loss": 2.5416, + "step": 1451 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009273097840828165, + "loss": 2.5337, + "step": 1452 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009271946845295934, + "loss": 2.6427, + "step": 1453 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009270795010775943, + "loss": 2.7211, + "step": 1454 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009269642337494401, + "loss": 2.4151, + "step": 1455 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009268488825677695, + "loss": 2.4926, + "step": 1456 + }, + { + "epoch": 0.2, + "learning_rate": 0.000926733447555236, + "loss": 2.4339, + "step": 1457 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009266179287345111, + "loss": 2.6819, + "step": 1458 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009265023261282817, + "loss": 2.5789, + "step": 1459 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009263866397592517, + "loss": 2.7057, + "step": 1460 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009262708696501412, + "loss": 2.525, + "step": 1461 + }, + { + "epoch": 0.2, + "learning_rate": 0.000926155015823687, + "loss": 2.6703, + "step": 1462 + }, + { + "epoch": 0.2, + "learning_rate": 0.000926039078302642, + "loss": 2.4888, + "step": 1463 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009259230571097757, + "loss": 2.3839, + "step": 1464 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009258069522678743, + "loss": 2.5614, + "step": 1465 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009256907637997398, + "loss": 2.6886, + "step": 1466 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009255744917281914, + "loss": 2.5061, + "step": 1467 + }, + { + "epoch": 0.2, + "learning_rate": 0.000925458136076064, + "loss": 2.6564, + "step": 1468 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009253416968662094, + "loss": 2.5107, + "step": 1469 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009252251741214957, + "loss": 2.5866, + "step": 1470 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009251085678648072, + "loss": 2.5304, + "step": 1471 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009249918781190447, + "loss": 2.5951, + "step": 1472 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009248751049071255, + "loss": 2.4193, + "step": 1473 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009247582482519837, + "loss": 2.4874, + "step": 1474 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009246413081765686, + "loss": 2.5104, + "step": 1475 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009245242847038469, + "loss": 2.5632, + "step": 1476 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009244071778568015, + "loss": 2.6109, + "step": 1477 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009242899876584316, + "loss": 2.6666, + "step": 1478 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009241727141317527, + "loss": 2.727, + "step": 1479 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009240553572997963, + "loss": 2.663, + "step": 1480 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009239379171856113, + "loss": 2.5527, + "step": 1481 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009238203938122618, + "loss": 2.7052, + "step": 1482 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009237027872028292, + "loss": 2.621, + "step": 1483 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009235850973804104, + "loss": 2.5609, + "step": 1484 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009234673243681194, + "loss": 2.5976, + "step": 1485 + }, + { + "epoch": 0.2, + "learning_rate": 0.000923349468189086, + "loss": 2.5384, + "step": 1486 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009232315288664564, + "loss": 2.5502, + "step": 1487 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009231135064233935, + "loss": 2.5247, + "step": 1488 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009229954008830764, + "loss": 2.4872, + "step": 1489 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009228772122687001, + "loss": 2.5593, + "step": 1490 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009227589406034764, + "loss": 2.4817, + "step": 1491 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009226405859106332, + "loss": 2.668, + "step": 1492 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009225221482134147, + "loss": 2.5292, + "step": 1493 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009224036275350813, + "loss": 2.5389, + "step": 1494 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009222850238989102, + "loss": 2.5152, + "step": 1495 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009221663373281942, + "loss": 2.5022, + "step": 1496 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009220475678462427, + "loss": 2.64, + "step": 1497 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009219287154763818, + "loss": 2.4247, + "step": 1498 + }, + { + "epoch": 0.21, + "learning_rate": 0.000921809780241953, + "loss": 2.6964, + "step": 1499 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009216907621663147, + "loss": 2.5631, + "step": 1500 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009215716612728416, + "loss": 2.4999, + "step": 1501 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009214524775849243, + "loss": 2.5807, + "step": 1502 + }, + { + "epoch": 0.21, + "learning_rate": 0.00092133321112597, + "loss": 2.468, + "step": 1503 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009212138619194017, + "loss": 2.6831, + "step": 1504 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009210944299886594, + "loss": 2.4534, + "step": 1505 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009209749153571984, + "loss": 2.6345, + "step": 1506 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009208553180484911, + "loss": 2.5088, + "step": 1507 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009207356380860256, + "loss": 2.5291, + "step": 1508 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009206158754933067, + "loss": 2.5034, + "step": 1509 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009204960302938548, + "loss": 2.462, + "step": 1510 + }, + { + "epoch": 0.21, + "learning_rate": 0.000920376102511207, + "loss": 2.5952, + "step": 1511 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009202560921689165, + "loss": 2.5315, + "step": 1512 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009201359992905525, + "loss": 2.5756, + "step": 1513 + }, + { + "epoch": 0.21, + "learning_rate": 0.000920015823899701, + "loss": 2.4727, + "step": 1514 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009198955660199634, + "loss": 2.5658, + "step": 1515 + }, + { + "epoch": 0.21, + "learning_rate": 0.000919775225674958, + "loss": 2.5241, + "step": 1516 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009196548028883189, + "loss": 2.5641, + "step": 1517 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009195342976836964, + "loss": 2.5196, + "step": 1518 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009194137100847573, + "loss": 2.5898, + "step": 1519 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009192930401151842, + "loss": 2.5706, + "step": 1520 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009191722877986762, + "loss": 2.5217, + "step": 1521 + }, + { + "epoch": 0.21, + "learning_rate": 0.000919051453158948, + "loss": 2.5269, + "step": 1522 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009189305362197316, + "loss": 2.4255, + "step": 1523 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009188095370047738, + "loss": 2.6643, + "step": 1524 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009186884555378384, + "loss": 2.455, + "step": 1525 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009185672918427053, + "loss": 2.5979, + "step": 1526 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009184460459431702, + "loss": 2.71, + "step": 1527 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009183247178630455, + "loss": 2.3507, + "step": 1528 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009182033076261591, + "loss": 2.5615, + "step": 1529 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009180818152563552, + "loss": 2.5508, + "step": 1530 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009179602407774947, + "loss": 2.4866, + "step": 1531 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009178385842134538, + "loss": 2.651, + "step": 1532 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009177168455881254, + "loss": 2.3857, + "step": 1533 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009175950249254183, + "loss": 2.4479, + "step": 1534 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009174731222492573, + "loss": 2.5381, + "step": 1535 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009173511375835835, + "loss": 2.6982, + "step": 1536 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009172290709523542, + "loss": 2.5032, + "step": 1537 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009171069223795424, + "loss": 2.627, + "step": 1538 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009169846918891376, + "loss": 2.7959, + "step": 1539 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009168623795051451, + "loss": 2.6547, + "step": 1540 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009167399852515868, + "loss": 2.6253, + "step": 1541 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009166175091524997, + "loss": 2.4522, + "step": 1542 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009164949512319377, + "loss": 2.5448, + "step": 1543 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009163723115139706, + "loss": 2.4917, + "step": 1544 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009162495900226842, + "loss": 2.4697, + "step": 1545 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009161267867821802, + "loss": 2.3172, + "step": 1546 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009160039018165767, + "loss": 2.6264, + "step": 1547 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009158809351500074, + "loss": 2.5316, + "step": 1548 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009157578868066225, + "loss": 2.6721, + "step": 1549 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009156347568105881, + "loss": 2.5188, + "step": 1550 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009155115451860863, + "loss": 2.5508, + "step": 1551 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009153882519573149, + "loss": 2.5271, + "step": 1552 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009152648771484881, + "loss": 2.4284, + "step": 1553 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009151414207838364, + "loss": 2.5928, + "step": 1554 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009150178828876058, + "loss": 2.5141, + "step": 1555 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009148942634840584, + "loss": 2.5621, + "step": 1556 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009147705625974725, + "loss": 2.4195, + "step": 1557 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009146467802521421, + "loss": 2.5692, + "step": 1558 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009145229164723778, + "loss": 2.5869, + "step": 1559 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009143989712825053, + "loss": 2.5966, + "step": 1560 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009142749447068671, + "loss": 2.4702, + "step": 1561 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009141508367698213, + "loss": 2.5779, + "step": 1562 + }, + { + "epoch": 0.21, + "learning_rate": 0.000914026647495742, + "loss": 2.6277, + "step": 1563 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009139023769090195, + "loss": 2.5906, + "step": 1564 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009137780250340595, + "loss": 2.547, + "step": 1565 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009136535918952844, + "loss": 2.8705, + "step": 1566 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009135290775171321, + "loss": 2.4814, + "step": 1567 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009134044819240566, + "loss": 2.4925, + "step": 1568 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009132798051405277, + "loss": 2.6059, + "step": 1569 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009131550471910314, + "loss": 2.6538, + "step": 1570 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009130302081000694, + "loss": 2.6473, + "step": 1571 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009129052878921595, + "loss": 2.5408, + "step": 1572 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009127802865918353, + "loss": 2.3946, + "step": 1573 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009126552042236464, + "loss": 2.7446, + "step": 1574 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009125300408121584, + "loss": 2.5895, + "step": 1575 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009124047963819526, + "loss": 2.5662, + "step": 1576 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009122794709576265, + "loss": 2.6426, + "step": 1577 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009121540645637933, + "loss": 2.7835, + "step": 1578 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009120285772250821, + "loss": 2.646, + "step": 1579 + }, + { + "epoch": 0.22, + "learning_rate": 0.000911903008966138, + "loss": 2.684, + "step": 1580 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009117773598116219, + "loss": 2.6761, + "step": 1581 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009116516297862107, + "loss": 2.5583, + "step": 1582 + }, + { + "epoch": 0.22, + "learning_rate": 0.000911525818914597, + "loss": 2.5359, + "step": 1583 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009113999272214895, + "loss": 2.5142, + "step": 1584 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009112739547316124, + "loss": 2.6148, + "step": 1585 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009111479014697065, + "loss": 2.4566, + "step": 1586 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009110217674605277, + "loss": 2.6042, + "step": 1587 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009108955527288479, + "loss": 2.5221, + "step": 1588 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009107692572994554, + "loss": 2.5347, + "step": 1589 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009106428811971537, + "loss": 2.5483, + "step": 1590 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009105164244467623, + "loss": 2.5773, + "step": 1591 + }, + { + "epoch": 0.22, + "learning_rate": 0.000910389887073117, + "loss": 2.4872, + "step": 1592 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009102632691010688, + "loss": 2.4701, + "step": 1593 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009101365705554847, + "loss": 2.6173, + "step": 1594 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009100097914612479, + "loss": 2.7601, + "step": 1595 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009098829318432571, + "loss": 2.6777, + "step": 1596 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009097559917264266, + "loss": 2.4623, + "step": 1597 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009096289711356871, + "loss": 2.6251, + "step": 1598 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009095018700959845, + "loss": 2.6745, + "step": 1599 + }, + { + "epoch": 0.22, + "learning_rate": 0.000909374688632281, + "loss": 2.5492, + "step": 1600 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009092474267695543, + "loss": 2.6277, + "step": 1601 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009091200845327978, + "loss": 2.6148, + "step": 1602 + }, + { + "epoch": 0.22, + "learning_rate": 0.000908992661947021, + "loss": 2.416, + "step": 1603 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009088651590372489, + "loss": 2.4851, + "step": 1604 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009087375758285225, + "loss": 2.6175, + "step": 1605 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009086099123458985, + "loss": 2.6871, + "step": 1606 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009084821686144493, + "loss": 2.5346, + "step": 1607 + }, + { + "epoch": 0.22, + "learning_rate": 0.000908354344659263, + "loss": 2.6242, + "step": 1608 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009082264405054437, + "loss": 2.6429, + "step": 1609 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009080984561781109, + "loss": 2.5819, + "step": 1610 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009079703917024002, + "loss": 2.5628, + "step": 1611 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009078422471034627, + "loss": 2.55, + "step": 1612 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009077140224064655, + "loss": 2.5859, + "step": 1613 + }, + { + "epoch": 0.22, + "learning_rate": 0.000907585717636591, + "loss": 2.5239, + "step": 1614 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009074573328190377, + "loss": 2.6013, + "step": 1615 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009073288679790197, + "loss": 2.6266, + "step": 1616 + }, + { + "epoch": 0.22, + "learning_rate": 0.000907200323141767, + "loss": 2.6105, + "step": 1617 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009070716983325247, + "loss": 2.6889, + "step": 1618 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009069429935765542, + "loss": 2.4946, + "step": 1619 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009068142088991329, + "loss": 2.5472, + "step": 1620 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009066853443255527, + "loss": 2.5108, + "step": 1621 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009065563998811223, + "loss": 2.5931, + "step": 1622 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009064273755911658, + "loss": 2.3652, + "step": 1623 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009062982714810226, + "loss": 2.7756, + "step": 1624 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009061690875760483, + "loss": 2.5467, + "step": 1625 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009060398239016139, + "loss": 2.7498, + "step": 1626 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009059104804831059, + "loss": 2.6172, + "step": 1627 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009057810573459269, + "loss": 2.5026, + "step": 1628 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009056515545154948, + "loss": 2.5205, + "step": 1629 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009055219720172432, + "loss": 2.6418, + "step": 1630 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009053923098766217, + "loss": 2.5311, + "step": 1631 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009052625681190951, + "loss": 2.5784, + "step": 1632 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009051327467701438, + "loss": 2.5663, + "step": 1633 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009050028458552642, + "loss": 2.6848, + "step": 1634 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009048728653999683, + "loss": 2.6014, + "step": 1635 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009047428054297834, + "loss": 2.5502, + "step": 1636 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009046126659702525, + "loss": 2.4932, + "step": 1637 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009044824470469345, + "loss": 2.4455, + "step": 1638 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009043521486854036, + "loss": 2.6012, + "step": 1639 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009042217709112496, + "loss": 2.6341, + "step": 1640 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009040913137500784, + "loss": 2.5505, + "step": 1641 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009039607772275107, + "loss": 2.5443, + "step": 1642 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009038301613691835, + "loss": 2.6387, + "step": 1643 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009036994662007487, + "loss": 2.5698, + "step": 1644 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009035686917478743, + "loss": 2.5874, + "step": 1645 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009034378380362438, + "loss": 2.381, + "step": 1646 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009033069050915562, + "loss": 2.4305, + "step": 1647 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009031758929395257, + "loss": 2.5653, + "step": 1648 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009030448016058828, + "loss": 2.5055, + "step": 1649 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009029136311163729, + "loss": 2.6391, + "step": 1650 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009027823814967573, + "loss": 2.5421, + "step": 1651 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009026510527728128, + "loss": 2.5732, + "step": 1652 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009025196449703314, + "loss": 2.5068, + "step": 1653 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009023881581151212, + "loss": 2.6481, + "step": 1654 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009022565922330055, + "loss": 2.429, + "step": 1655 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009021249473498227, + "loss": 2.4222, + "step": 1656 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009019932234914279, + "loss": 2.5379, + "step": 1657 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009018614206836904, + "loss": 2.5736, + "step": 1658 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009017295389524956, + "loss": 2.6894, + "step": 1659 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009015975783237447, + "loss": 2.6925, + "step": 1660 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009014655388233537, + "loss": 2.5209, + "step": 1661 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009013334204772547, + "loss": 2.5623, + "step": 1662 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009012012233113951, + "loss": 2.4941, + "step": 1663 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009010689473517375, + "loss": 2.6103, + "step": 1664 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009009365926242603, + "loss": 2.4182, + "step": 1665 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009008041591549574, + "loss": 2.6239, + "step": 1666 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009006716469698378, + "loss": 2.6262, + "step": 1667 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009005390560949262, + "loss": 2.5492, + "step": 1668 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009004063865562631, + "loss": 2.5256, + "step": 1669 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009002736383799036, + "loss": 2.6144, + "step": 1670 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009001408115919192, + "loss": 2.5433, + "step": 1671 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009000079062183959, + "loss": 2.5466, + "step": 1672 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008998749222854361, + "loss": 2.5913, + "step": 1673 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008997418598191569, + "loss": 2.4818, + "step": 1674 + }, + { + "epoch": 0.23, + "learning_rate": 0.000899608718845691, + "loss": 2.6857, + "step": 1675 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008994754993911867, + "loss": 2.6969, + "step": 1676 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008993422014818075, + "loss": 2.628, + "step": 1677 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008992088251437325, + "loss": 2.4814, + "step": 1678 + }, + { + "epoch": 0.23, + "learning_rate": 0.000899075370403156, + "loss": 2.5075, + "step": 1679 + }, + { + "epoch": 0.23, + "learning_rate": 0.000898941837286288, + "loss": 2.5392, + "step": 1680 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008988082258193535, + "loss": 2.3371, + "step": 1681 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008986745360285932, + "loss": 2.5012, + "step": 1682 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008985407679402631, + "loss": 2.509, + "step": 1683 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008984069215806343, + "loss": 2.5904, + "step": 1684 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008982729969759937, + "loss": 2.4125, + "step": 1685 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008981389941526435, + "loss": 2.4171, + "step": 1686 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008980049131369008, + "loss": 2.5834, + "step": 1687 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008978707539550989, + "loss": 2.4248, + "step": 1688 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008977365166335854, + "loss": 2.4481, + "step": 1689 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008976022011987244, + "loss": 2.5533, + "step": 1690 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008974678076768941, + "loss": 2.4718, + "step": 1691 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008973333360944891, + "loss": 2.3477, + "step": 1692 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008971987864779189, + "loss": 2.5197, + "step": 1693 + }, + { + "epoch": 0.23, + "learning_rate": 0.000897064158853608, + "loss": 2.4321, + "step": 1694 + }, + { + "epoch": 0.23, + "learning_rate": 0.000896929453247997, + "loss": 2.4774, + "step": 1695 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008967946696875411, + "loss": 2.5492, + "step": 1696 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008966598081987109, + "loss": 2.5208, + "step": 1697 + }, + { + "epoch": 0.23, + "learning_rate": 0.000896524868807993, + "loss": 2.6394, + "step": 1698 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008963898515418885, + "loss": 2.4572, + "step": 1699 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008962547564269139, + "loss": 2.5262, + "step": 1700 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008961195834896014, + "loss": 2.5047, + "step": 1701 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008959843327564983, + "loss": 2.5192, + "step": 1702 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008958490042541669, + "loss": 2.6291, + "step": 1703 + }, + { + "epoch": 0.23, + "learning_rate": 0.000895713598009185, + "loss": 2.6031, + "step": 1704 + }, + { + "epoch": 0.23, + "learning_rate": 0.000895578114048146, + "loss": 2.6939, + "step": 1705 + }, + { + "epoch": 0.23, + "learning_rate": 0.000895442552397658, + "loss": 2.4759, + "step": 1706 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008953069130843446, + "loss": 2.4833, + "step": 1707 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008951711961348445, + "loss": 2.5586, + "step": 1708 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008950354015758122, + "loss": 2.4943, + "step": 1709 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008948995294339166, + "loss": 2.3784, + "step": 1710 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008947635797358425, + "loss": 2.6008, + "step": 1711 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008946275525082896, + "loss": 2.4608, + "step": 1712 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008944914477779731, + "loss": 2.6124, + "step": 1713 + }, + { + "epoch": 0.23, + "learning_rate": 0.000894355265571623, + "loss": 2.6033, + "step": 1714 + }, + { + "epoch": 0.23, + "learning_rate": 0.000894219005915985, + "loss": 2.4977, + "step": 1715 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008940826688378196, + "loss": 2.6175, + "step": 1716 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008939462543639027, + "loss": 2.5801, + "step": 1717 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008938097625210256, + "loss": 2.5698, + "step": 1718 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008936731933359942, + "loss": 2.526, + "step": 1719 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008935365468356304, + "loss": 2.4538, + "step": 1720 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008933998230467704, + "loss": 2.6776, + "step": 1721 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008932630219962664, + "loss": 2.5834, + "step": 1722 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008931261437109852, + "loss": 2.5565, + "step": 1723 + }, + { + "epoch": 0.24, + "learning_rate": 0.000892989188217809, + "loss": 2.5333, + "step": 1724 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008928521555436353, + "loss": 2.3316, + "step": 1725 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008927150457153763, + "loss": 2.647, + "step": 1726 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008925778587599598, + "loss": 2.5207, + "step": 1727 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008924405947043286, + "loss": 2.3682, + "step": 1728 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008923032535754407, + "loss": 2.4226, + "step": 1729 + }, + { + "epoch": 0.24, + "learning_rate": 0.000892165835400269, + "loss": 2.5926, + "step": 1730 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008920283402058019, + "loss": 2.4293, + "step": 1731 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008918907680190426, + "loss": 2.5167, + "step": 1732 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008917531188670095, + "loss": 2.3711, + "step": 1733 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008916153927767363, + "loss": 2.5143, + "step": 1734 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008914775897752716, + "loss": 2.3578, + "step": 1735 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008913397098896792, + "loss": 2.5966, + "step": 1736 + }, + { + "epoch": 0.24, + "learning_rate": 0.000891201753147038, + "loss": 2.348, + "step": 1737 + }, + { + "epoch": 0.24, + "learning_rate": 0.000891063719574442, + "loss": 2.5814, + "step": 1738 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008909256091990001, + "loss": 2.5079, + "step": 1739 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008907874220478365, + "loss": 2.4858, + "step": 1740 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008906491581480906, + "loss": 2.4115, + "step": 1741 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008905108175269167, + "loss": 2.6508, + "step": 1742 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008903724002114839, + "loss": 2.5534, + "step": 1743 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008902339062289768, + "loss": 2.424, + "step": 1744 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008900953356065949, + "loss": 2.3881, + "step": 1745 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008899566883715526, + "loss": 2.4524, + "step": 1746 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008898179645510797, + "loss": 2.441, + "step": 1747 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008896791641724207, + "loss": 2.435, + "step": 1748 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008895402872628352, + "loss": 2.3852, + "step": 1749 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008894013338495981, + "loss": 2.4965, + "step": 1750 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008892623039599988, + "loss": 2.5289, + "step": 1751 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008891231976213423, + "loss": 2.5419, + "step": 1752 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008889840148609483, + "loss": 2.4945, + "step": 1753 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008888447557061515, + "loss": 2.4236, + "step": 1754 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008887054201843017, + "loss": 2.462, + "step": 1755 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008885660083227636, + "loss": 2.4714, + "step": 1756 + }, + { + "epoch": 0.24, + "learning_rate": 0.000888426520148917, + "loss": 2.5187, + "step": 1757 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008882869556901566, + "loss": 2.5631, + "step": 1758 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008881473149738921, + "loss": 2.4551, + "step": 1759 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008880075980275484, + "loss": 2.5032, + "step": 1760 + }, + { + "epoch": 0.24, + "learning_rate": 0.000887867804878565, + "loss": 2.5178, + "step": 1761 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008877279355543966, + "loss": 2.5567, + "step": 1762 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008875879900825125, + "loss": 2.4227, + "step": 1763 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008874479684903977, + "loss": 2.4831, + "step": 1764 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008873078708055515, + "loss": 2.1996, + "step": 1765 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008871676970554883, + "loss": 2.604, + "step": 1766 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008870274472677376, + "loss": 2.5114, + "step": 1767 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008868871214698436, + "loss": 2.6251, + "step": 1768 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008867467196893655, + "loss": 2.5463, + "step": 1769 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008866062419538776, + "loss": 2.5561, + "step": 1770 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008864656882909689, + "loss": 2.5847, + "step": 1771 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008863250587282434, + "loss": 2.3572, + "step": 1772 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008861843532933202, + "loss": 2.5142, + "step": 1773 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008860435720138329, + "loss": 2.4837, + "step": 1774 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008859027149174302, + "loss": 2.2456, + "step": 1775 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008857617820317757, + "loss": 2.4758, + "step": 1776 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008856207733845481, + "loss": 2.6075, + "step": 1777 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008854796890034402, + "loss": 2.6712, + "step": 1778 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008853385289161608, + "loss": 2.5337, + "step": 1779 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008851972931504329, + "loss": 2.5951, + "step": 1780 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008850559817339941, + "loss": 2.5115, + "step": 1781 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008849145946945976, + "loss": 2.4495, + "step": 1782 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008847731320600108, + "loss": 2.4596, + "step": 1783 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008846315938580162, + "loss": 2.4369, + "step": 1784 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008844899801164116, + "loss": 2.5148, + "step": 1785 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008843482908630087, + "loss": 2.56, + "step": 1786 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008842065261256347, + "loss": 2.4684, + "step": 1787 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008840646859321315, + "loss": 2.5301, + "step": 1788 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008839227703103555, + "loss": 2.4397, + "step": 1789 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008837807792881785, + "loss": 2.4783, + "step": 1790 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008836387128934866, + "loss": 2.488, + "step": 1791 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008834965711541811, + "loss": 2.5294, + "step": 1792 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008833543540981777, + "loss": 2.4528, + "step": 1793 + }, + { + "epoch": 0.25, + "learning_rate": 0.000883212061753407, + "loss": 2.5178, + "step": 1794 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008830696941478146, + "loss": 2.5143, + "step": 1795 + }, + { + "epoch": 0.25, + "learning_rate": 0.000882927251309361, + "loss": 2.6777, + "step": 1796 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008827847332660206, + "loss": 2.4602, + "step": 1797 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008826421400457836, + "loss": 2.6114, + "step": 1798 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008824994716766545, + "loss": 2.6677, + "step": 1799 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008823567281866526, + "loss": 2.4178, + "step": 1800 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008822139096038119, + "loss": 2.5885, + "step": 1801 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008820710159561814, + "loss": 2.6608, + "step": 1802 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008819280472718245, + "loss": 2.6237, + "step": 1803 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008817850035788195, + "loss": 2.4061, + "step": 1804 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008816418849052594, + "loss": 2.4512, + "step": 1805 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008814986912792521, + "loss": 2.4324, + "step": 1806 + }, + { + "epoch": 0.25, + "learning_rate": 0.00088135542272892, + "loss": 2.6788, + "step": 1807 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008812120792824001, + "loss": 2.4346, + "step": 1808 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008810686609678446, + "loss": 2.5085, + "step": 1809 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008809251678134199, + "loss": 2.558, + "step": 1810 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008807815998473074, + "loss": 2.6676, + "step": 1811 + }, + { + "epoch": 0.25, + "learning_rate": 0.000880637957097703, + "loss": 2.6124, + "step": 1812 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008804942395928173, + "loss": 2.3013, + "step": 1813 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008803504473608759, + "loss": 2.4991, + "step": 1814 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008802065804301187, + "loss": 2.6263, + "step": 1815 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008800626388288003, + "loss": 2.5225, + "step": 1816 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008799186225851903, + "loss": 2.6643, + "step": 1817 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008797745317275726, + "loss": 2.6496, + "step": 1818 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008796303662842457, + "loss": 2.521, + "step": 1819 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008794861262835234, + "loss": 2.524, + "step": 1820 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008793418117537333, + "loss": 2.5801, + "step": 1821 + }, + { + "epoch": 0.25, + "learning_rate": 0.000879197422723218, + "loss": 2.6525, + "step": 1822 + }, + { + "epoch": 0.25, + "learning_rate": 0.000879052959220335, + "loss": 2.5394, + "step": 1823 + }, + { + "epoch": 0.25, + "learning_rate": 0.000878908421273456, + "loss": 2.5214, + "step": 1824 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008787638089109673, + "loss": 2.4773, + "step": 1825 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008786191221612702, + "loss": 2.4845, + "step": 1826 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008784743610527806, + "loss": 2.4906, + "step": 1827 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008783295256139285, + "loss": 2.4355, + "step": 1828 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008781846158731592, + "loss": 2.5113, + "step": 1829 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008780396318589317, + "loss": 2.5426, + "step": 1830 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008778945735997204, + "loss": 2.558, + "step": 1831 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008777494411240139, + "loss": 2.5806, + "step": 1832 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008776042344603155, + "loss": 2.5492, + "step": 1833 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008774589536371429, + "loss": 2.5179, + "step": 1834 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008773135986830287, + "loss": 2.6773, + "step": 1835 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008771681696265196, + "loss": 2.5029, + "step": 1836 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008770226664961773, + "loss": 2.6339, + "step": 1837 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008768770893205779, + "loss": 2.4997, + "step": 1838 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008767314381283118, + "loss": 2.4398, + "step": 1839 + }, + { + "epoch": 0.25, + "learning_rate": 0.000876585712947984, + "loss": 2.5465, + "step": 1840 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008764399138082144, + "loss": 2.5293, + "step": 1841 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008762940407376372, + "loss": 2.4119, + "step": 1842 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008761480937649009, + "loss": 2.3839, + "step": 1843 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008760020729186689, + "loss": 2.4882, + "step": 1844 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008758559782276187, + "loss": 2.3858, + "step": 1845 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008757098097204428, + "loss": 2.4849, + "step": 1846 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008755635674258476, + "loss": 2.5071, + "step": 1847 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008754172513725547, + "loss": 2.4995, + "step": 1848 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008752708615892996, + "loss": 2.4809, + "step": 1849 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008751243981048323, + "loss": 2.555, + "step": 1850 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008749778609479178, + "loss": 2.5345, + "step": 1851 + }, + { + "epoch": 0.25, + "learning_rate": 0.000874831250147335, + "loss": 2.5037, + "step": 1852 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008746845657318776, + "loss": 2.45, + "step": 1853 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008745378077303535, + "loss": 2.3962, + "step": 1854 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008743909761715854, + "loss": 2.386, + "step": 1855 + }, + { + "epoch": 0.25, + "learning_rate": 0.00087424407108441, + "loss": 2.719, + "step": 1856 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008740970924976788, + "loss": 2.5998, + "step": 1857 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008739500404402577, + "loss": 2.5549, + "step": 1858 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008738029149410267, + "loss": 2.6825, + "step": 1859 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008736557160288807, + "loss": 2.5916, + "step": 1860 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008735084437327288, + "loss": 2.492, + "step": 1861 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008733610980814944, + "loss": 2.4697, + "step": 1862 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008732136791041155, + "loss": 2.6003, + "step": 1863 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008730661868295442, + "loss": 2.3711, + "step": 1864 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008729186212867475, + "loss": 2.5136, + "step": 1865 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008727709825047061, + "loss": 2.6008, + "step": 1866 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008726232705124158, + "loss": 2.4536, + "step": 1867 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008724754853388865, + "loss": 2.5207, + "step": 1868 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008723276270131421, + "loss": 2.3743, + "step": 1869 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008721796955642215, + "loss": 2.3625, + "step": 1870 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008720316910211776, + "loss": 2.4297, + "step": 1871 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008718836134130774, + "loss": 2.5797, + "step": 1872 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008717354627690029, + "loss": 2.32, + "step": 1873 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008715872391180502, + "loss": 2.3695, + "step": 1874 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008714389424893292, + "loss": 2.5682, + "step": 1875 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008712905729119649, + "loss": 2.5044, + "step": 1876 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008711421304150962, + "loss": 2.4911, + "step": 1877 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008709936150278765, + "loss": 2.3395, + "step": 1878 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008708450267794734, + "loss": 2.3825, + "step": 1879 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008706963656990687, + "loss": 2.3493, + "step": 1880 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008705476318158588, + "loss": 2.5973, + "step": 1881 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008703988251590543, + "loss": 2.5117, + "step": 1882 + }, + { + "epoch": 0.26, + "learning_rate": 0.00087024994575788, + "loss": 2.4853, + "step": 1883 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008701009936415749, + "loss": 2.661, + "step": 1884 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008699519688393924, + "loss": 2.3602, + "step": 1885 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008698028713806004, + "loss": 2.5624, + "step": 1886 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008696537012944808, + "loss": 2.4597, + "step": 1887 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008695044586103295, + "loss": 2.5487, + "step": 1888 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008693551433574575, + "loss": 2.4405, + "step": 1889 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008692057555651891, + "loss": 2.5174, + "step": 1890 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008690562952628633, + "loss": 2.4458, + "step": 1891 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008689067624798337, + "loss": 2.5367, + "step": 1892 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008687571572454674, + "loss": 2.6302, + "step": 1893 + }, + { + "epoch": 0.26, + "learning_rate": 0.000868607479589146, + "loss": 2.4314, + "step": 1894 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008684577295402657, + "loss": 2.439, + "step": 1895 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008683079071282365, + "loss": 2.4273, + "step": 1896 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008681580123824825, + "loss": 2.4939, + "step": 1897 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008680080453324426, + "loss": 2.4672, + "step": 1898 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008678580060075693, + "loss": 2.6047, + "step": 1899 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008677078944373295, + "loss": 2.6015, + "step": 1900 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008675577106512047, + "loss": 2.4862, + "step": 1901 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008674074546786897, + "loss": 2.4054, + "step": 1902 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008672571265492943, + "loss": 2.4736, + "step": 1903 + }, + { + "epoch": 0.26, + "learning_rate": 0.000867106726292542, + "loss": 2.3328, + "step": 1904 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008669562539379707, + "loss": 2.3896, + "step": 1905 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008668057095151323, + "loss": 2.4964, + "step": 1906 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008666550930535931, + "loss": 2.6187, + "step": 1907 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008665044045829331, + "loss": 2.5515, + "step": 1908 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008663536441327469, + "loss": 2.521, + "step": 1909 + }, + { + "epoch": 0.26, + "learning_rate": 0.000866202811732643, + "loss": 2.4461, + "step": 1910 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008660519074122439, + "loss": 2.3575, + "step": 1911 + }, + { + "epoch": 0.26, + "learning_rate": 0.000865900931201187, + "loss": 2.4053, + "step": 1912 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008657498831291225, + "loss": 2.6542, + "step": 1913 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008655987632257161, + "loss": 2.3922, + "step": 1914 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008654475715206463, + "loss": 2.4628, + "step": 1915 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008652963080436069, + "loss": 2.4556, + "step": 1916 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008651449728243049, + "loss": 2.3317, + "step": 1917 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008649935658924619, + "loss": 2.6442, + "step": 1918 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008648420872778136, + "loss": 2.4617, + "step": 1919 + }, + { + "epoch": 0.26, + "learning_rate": 0.000864690537010109, + "loss": 2.5134, + "step": 1920 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008645389151191125, + "loss": 2.3719, + "step": 1921 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008643872216346014, + "loss": 2.4253, + "step": 1922 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008642354565863674, + "loss": 2.4452, + "step": 1923 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008640836200042168, + "loss": 2.3999, + "step": 1924 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008639317119179691, + "loss": 2.6056, + "step": 1925 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008637797323574585, + "loss": 2.493, + "step": 1926 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008636276813525328, + "loss": 2.4346, + "step": 1927 + }, + { + "epoch": 0.26, + "learning_rate": 0.000863475558933054, + "loss": 2.4129, + "step": 1928 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008633233651288983, + "loss": 2.4307, + "step": 1929 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008631710999699556, + "loss": 2.3873, + "step": 1930 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008630187634861302, + "loss": 2.4487, + "step": 1931 + }, + { + "epoch": 0.26, + "learning_rate": 0.00086286635570734, + "loss": 2.3842, + "step": 1932 + }, + { + "epoch": 0.26, + "learning_rate": 0.000862713876663517, + "loss": 2.4447, + "step": 1933 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008625613263846076, + "loss": 2.4842, + "step": 1934 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008624087049005716, + "loss": 2.6333, + "step": 1935 + }, + { + "epoch": 0.26, + "learning_rate": 0.000862256012241383, + "loss": 2.6403, + "step": 1936 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008621032484370299, + "loss": 2.2833, + "step": 1937 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008619504135175145, + "loss": 2.4725, + "step": 1938 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008617975075128526, + "loss": 2.4192, + "step": 1939 + }, + { + "epoch": 0.27, + "learning_rate": 0.000861644530453074, + "loss": 2.3764, + "step": 1940 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008614914823682229, + "loss": 2.5312, + "step": 1941 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008613383632883568, + "loss": 2.5017, + "step": 1942 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008611851732435478, + "loss": 2.5654, + "step": 1943 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008610319122638814, + "loss": 2.4891, + "step": 1944 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008608785803794572, + "loss": 2.4536, + "step": 1945 + }, + { + "epoch": 0.27, + "learning_rate": 0.000860725177620389, + "loss": 2.4888, + "step": 1946 + }, + { + "epoch": 0.27, + "learning_rate": 0.000860571704016804, + "loss": 2.4521, + "step": 1947 + }, + { + "epoch": 0.27, + "learning_rate": 0.000860418159598844, + "loss": 2.5552, + "step": 1948 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008602645443966639, + "loss": 2.4249, + "step": 1949 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008601108584404331, + "loss": 2.5224, + "step": 1950 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008599571017603348, + "loss": 2.3766, + "step": 1951 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008598032743865659, + "loss": 2.4483, + "step": 1952 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008596493763493372, + "loss": 2.4611, + "step": 1953 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008594954076788736, + "loss": 2.4674, + "step": 1954 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008593413684054136, + "loss": 2.4169, + "step": 1955 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008591872585592099, + "loss": 2.4981, + "step": 1956 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008590330781705287, + "loss": 2.6809, + "step": 1957 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008588788272696501, + "loss": 2.5194, + "step": 1958 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008587245058868685, + "loss": 2.5283, + "step": 1959 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008585701140524915, + "loss": 2.3617, + "step": 1960 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008584156517968409, + "loss": 2.3891, + "step": 1961 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008582611191502523, + "loss": 2.5321, + "step": 1962 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008581065161430752, + "loss": 2.5021, + "step": 1963 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008579518428056727, + "loss": 2.5185, + "step": 1964 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008577970991684218, + "loss": 2.526, + "step": 1965 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008576422852617136, + "loss": 2.536, + "step": 1966 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008574874011159524, + "loss": 2.6002, + "step": 1967 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008573324467615566, + "loss": 2.4784, + "step": 1968 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008571774222289587, + "loss": 2.44, + "step": 1969 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008570223275486044, + "loss": 2.4005, + "step": 1970 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008568671627509539, + "loss": 2.4618, + "step": 1971 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008567119278664803, + "loss": 2.6387, + "step": 1972 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008565566229256711, + "loss": 2.5326, + "step": 1973 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008564012479590273, + "loss": 2.4432, + "step": 1974 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008562458029970639, + "loss": 2.6029, + "step": 1975 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008560902880703092, + "loss": 2.3948, + "step": 1976 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008559347032093057, + "loss": 2.4283, + "step": 1977 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008557790484446094, + "loss": 2.5173, + "step": 1978 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008556233238067901, + "loss": 2.4806, + "step": 1979 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008554675293264313, + "loss": 2.5405, + "step": 1980 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008553116650341301, + "loss": 2.4067, + "step": 1981 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008551557309604974, + "loss": 2.5054, + "step": 1982 + }, + { + "epoch": 0.27, + "learning_rate": 0.000854999727136158, + "loss": 2.4685, + "step": 1983 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008548436535917503, + "loss": 2.3449, + "step": 1984 + }, + { + "epoch": 0.27, + "learning_rate": 0.000854687510357926, + "loss": 2.3079, + "step": 1985 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008545312974653512, + "loss": 2.4781, + "step": 1986 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008543750149447049, + "loss": 2.5123, + "step": 1987 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008542186628266802, + "loss": 2.3133, + "step": 1988 + }, + { + "epoch": 0.27, + "learning_rate": 0.000854062241141984, + "loss": 2.6818, + "step": 1989 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008539057499213367, + "loss": 2.4391, + "step": 1990 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008537491891954724, + "loss": 2.6327, + "step": 1991 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008535925589951385, + "loss": 2.624, + "step": 1992 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008534358593510967, + "loss": 2.5428, + "step": 1993 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008532790902941217, + "loss": 2.56, + "step": 1994 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008531222518550021, + "loss": 2.5674, + "step": 1995 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008529653440645405, + "loss": 2.5332, + "step": 1996 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008528083669535524, + "loss": 2.5604, + "step": 1997 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008526513205528674, + "loss": 2.5849, + "step": 1998 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008524942048933286, + "loss": 2.5483, + "step": 1999 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008523370200057927, + "loss": 2.7671, + "step": 2000 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008521797659211299, + "loss": 2.7001, + "step": 2001 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008520224426702242, + "loss": 2.6102, + "step": 2002 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008518650502839729, + "loss": 2.5767, + "step": 2003 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008517075887932871, + "loss": 2.6571, + "step": 2004 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008515500582290913, + "loss": 2.5858, + "step": 2005 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008513924586223239, + "loss": 2.3939, + "step": 2006 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008512347900039366, + "loss": 2.6353, + "step": 2007 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008510770524048944, + "loss": 2.4402, + "step": 2008 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008509192458561765, + "loss": 2.6307, + "step": 2009 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008507613703887749, + "loss": 2.514, + "step": 2010 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008506034260336959, + "loss": 2.5891, + "step": 2011 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008504454128219585, + "loss": 2.5545, + "step": 2012 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008502873307845959, + "loss": 2.3066, + "step": 2013 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008501291799526547, + "loss": 2.4763, + "step": 2014 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008499709603571947, + "loss": 2.3882, + "step": 2015 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008498126720292896, + "loss": 2.4575, + "step": 2016 + }, + { + "epoch": 0.28, + "learning_rate": 0.000849654315000026, + "loss": 2.4399, + "step": 2017 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008494958893005047, + "loss": 2.6046, + "step": 2018 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008493373949618396, + "loss": 2.7568, + "step": 2019 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008491788320151581, + "loss": 2.5044, + "step": 2020 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008490202004916012, + "loss": 2.6164, + "step": 2021 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008488615004223233, + "loss": 2.6106, + "step": 2022 + }, + { + "epoch": 0.28, + "learning_rate": 0.000848702731838492, + "loss": 2.7857, + "step": 2023 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008485438947712889, + "loss": 2.6081, + "step": 2024 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008483849892519088, + "loss": 2.6412, + "step": 2025 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008482260153115597, + "loss": 2.5169, + "step": 2026 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008480669729814634, + "loss": 2.5741, + "step": 2027 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008479078622928547, + "loss": 2.6401, + "step": 2028 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008477486832769825, + "loss": 2.6356, + "step": 2029 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008475894359651084, + "loss": 2.6836, + "step": 2030 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008474301203885078, + "loss": 2.7497, + "step": 2031 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008472707365784696, + "loss": 2.7831, + "step": 2032 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008471112845662956, + "loss": 2.6549, + "step": 2033 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008469517643833017, + "loss": 2.7274, + "step": 2034 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008467921760608166, + "loss": 2.7368, + "step": 2035 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008466325196301827, + "loss": 2.8133, + "step": 2036 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008464727951227557, + "loss": 2.8613, + "step": 2037 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008463130025699046, + "loss": 2.5908, + "step": 2038 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008461531420030117, + "loss": 2.7933, + "step": 2039 + }, + { + "epoch": 0.28, + "learning_rate": 0.000845993213453473, + "loss": 2.7542, + "step": 2040 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008458332169526973, + "loss": 2.7387, + "step": 2041 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008456731525321073, + "loss": 2.8597, + "step": 2042 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008455130202231389, + "loss": 2.9117, + "step": 2043 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008453528200572409, + "loss": 2.7967, + "step": 2044 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008451925520658761, + "loss": 2.8, + "step": 2045 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008450322162805202, + "loss": 2.7385, + "step": 2046 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008448718127326621, + "loss": 2.6728, + "step": 2047 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008447113414538045, + "loss": 2.6967, + "step": 2048 + }, + { + "epoch": 0.28, + "learning_rate": 0.000844550802475463, + "loss": 2.9346, + "step": 2049 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008443901958291665, + "loss": 2.8396, + "step": 2050 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008442295215464573, + "loss": 2.5017, + "step": 2051 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008440687796588912, + "loss": 2.9092, + "step": 2052 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008439079701980368, + "loss": 2.79, + "step": 2053 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008437470931954765, + "loss": 2.7641, + "step": 2054 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008435861486828053, + "loss": 2.69, + "step": 2055 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008434251366916323, + "loss": 2.7803, + "step": 2056 + }, + { + "epoch": 0.28, + "learning_rate": 0.000843264057253579, + "loss": 2.6877, + "step": 2057 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008431029104002807, + "loss": 2.8668, + "step": 2058 + }, + { + "epoch": 0.28, + "learning_rate": 0.000842941696163386, + "loss": 2.7213, + "step": 2059 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008427804145745563, + "loss": 2.8281, + "step": 2060 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008426190656654664, + "loss": 2.8045, + "step": 2061 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008424576494678046, + "loss": 2.5083, + "step": 2062 + }, + { + "epoch": 0.28, + "learning_rate": 0.000842296166013272, + "loss": 2.6146, + "step": 2063 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008421346153335832, + "loss": 2.7615, + "step": 2064 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008419729974604659, + "loss": 2.68, + "step": 2065 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008418113124256608, + "loss": 2.7641, + "step": 2066 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008416495602609222, + "loss": 2.6628, + "step": 2067 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008414877409980173, + "loss": 2.7654, + "step": 2068 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008413258546687265, + "loss": 2.8425, + "step": 2069 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008411639013048435, + "loss": 2.6215, + "step": 2070 + }, + { + "epoch": 0.28, + "learning_rate": 0.000841001880938175, + "loss": 2.7608, + "step": 2071 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008408397936005411, + "loss": 2.6669, + "step": 2072 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008406776393237748, + "loss": 2.702, + "step": 2073 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008405154181397221, + "loss": 2.9023, + "step": 2074 + }, + { + "epoch": 0.28, + "learning_rate": 0.000840353130080243, + "loss": 2.63, + "step": 2075 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008401907751772093, + "loss": 2.6868, + "step": 2076 + }, + { + "epoch": 0.28, + "learning_rate": 0.000840028353462507, + "loss": 2.6798, + "step": 2077 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008398658649680351, + "loss": 2.5034, + "step": 2078 + }, + { + "epoch": 0.28, + "learning_rate": 0.000839703309725705, + "loss": 2.6224, + "step": 2079 + }, + { + "epoch": 0.28, + "learning_rate": 0.000839540687767442, + "loss": 2.6357, + "step": 2080 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008393779991251839, + "loss": 2.664, + "step": 2081 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008392152438308824, + "loss": 2.9644, + "step": 2082 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008390524219165014, + "loss": 2.7387, + "step": 2083 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008388895334140181, + "loss": 2.778, + "step": 2084 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008387265783554235, + "loss": 2.7435, + "step": 2085 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008385635567727206, + "loss": 2.6841, + "step": 2086 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008384004686979261, + "loss": 2.7919, + "step": 2087 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008382373141630698, + "loss": 2.8561, + "step": 2088 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008380740932001943, + "loss": 2.601, + "step": 2089 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008379108058413552, + "loss": 2.6273, + "step": 2090 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008377474521186215, + "loss": 2.733, + "step": 2091 + }, + { + "epoch": 0.29, + "learning_rate": 0.000837584032064075, + "loss": 2.7281, + "step": 2092 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008374205457098103, + "loss": 2.7586, + "step": 2093 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008372569930879353, + "loss": 2.6411, + "step": 2094 + }, + { + "epoch": 0.29, + "learning_rate": 0.000837093374230571, + "loss": 2.6083, + "step": 2095 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008369296891698513, + "loss": 2.6676, + "step": 2096 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008367659379379231, + "loss": 2.6983, + "step": 2097 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008366021205669462, + "loss": 2.5166, + "step": 2098 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008364382370890933, + "loss": 2.5932, + "step": 2099 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008362742875365505, + "loss": 2.734, + "step": 2100 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008361102719415163, + "loss": 2.5892, + "step": 2101 + }, + { + "epoch": 0.29, + "learning_rate": 0.000835946190336203, + "loss": 2.7354, + "step": 2102 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008357820427528351, + "loss": 2.7269, + "step": 2103 + }, + { + "epoch": 0.29, + "learning_rate": 0.00083561782922365, + "loss": 2.755, + "step": 2104 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008354535497808991, + "loss": 2.5308, + "step": 2105 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008352892044568454, + "loss": 2.635, + "step": 2106 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008351247932837654, + "loss": 2.7426, + "step": 2107 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008349603162939491, + "loss": 2.72, + "step": 2108 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008347957735196985, + "loss": 2.6445, + "step": 2109 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008346311649933292, + "loss": 2.8041, + "step": 2110 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008344664907471691, + "loss": 2.5835, + "step": 2111 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008343017508135596, + "loss": 2.7083, + "step": 2112 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008341369452248548, + "loss": 2.6338, + "step": 2113 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008339720740134216, + "loss": 2.6038, + "step": 2114 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008338071372116396, + "loss": 2.6911, + "step": 2115 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008336421348519019, + "loss": 2.6323, + "step": 2116 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008334770669666138, + "loss": 2.7067, + "step": 2117 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008333119335881938, + "loss": 2.6039, + "step": 2118 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008331467347490733, + "loss": 2.4865, + "step": 2119 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008329814704816965, + "loss": 2.6622, + "step": 2120 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008328161408185204, + "loss": 2.7792, + "step": 2121 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008326507457920147, + "loss": 2.633, + "step": 2122 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008324852854346624, + "loss": 2.6841, + "step": 2123 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008323197597789589, + "loss": 2.8055, + "step": 2124 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008321541688574125, + "loss": 2.7518, + "step": 2125 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008319885127025445, + "loss": 2.5645, + "step": 2126 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008318227913468888, + "loss": 2.6877, + "step": 2127 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008316570048229922, + "loss": 2.5301, + "step": 2128 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008314911531634144, + "loss": 2.7097, + "step": 2129 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008313252364007277, + "loss": 2.791, + "step": 2130 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008311592545675173, + "loss": 2.4743, + "step": 2131 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008309932076963811, + "loss": 2.7581, + "step": 2132 + }, + { + "epoch": 0.29, + "learning_rate": 0.00083082709581993, + "loss": 2.7558, + "step": 2133 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008306609189707873, + "loss": 2.6119, + "step": 2134 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008304946771815891, + "loss": 2.6346, + "step": 2135 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008303283704849849, + "loss": 2.6422, + "step": 2136 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008301619989136361, + "loss": 2.7192, + "step": 2137 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008299955625002173, + "loss": 2.6798, + "step": 2138 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008298290612774156, + "loss": 2.6012, + "step": 2139 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008296624952779313, + "loss": 2.4614, + "step": 2140 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008294958645344765, + "loss": 2.529, + "step": 2141 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008293291690797773, + "loss": 2.6144, + "step": 2142 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008291624089465712, + "loss": 2.6281, + "step": 2143 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008289955841676096, + "loss": 2.6824, + "step": 2144 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008288286947756554, + "loss": 2.4802, + "step": 2145 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008286617408034851, + "loss": 2.6013, + "step": 2146 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008284947222838875, + "loss": 2.64, + "step": 2147 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008283276392496642, + "loss": 2.626, + "step": 2148 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008281604917336294, + "loss": 2.5215, + "step": 2149 + }, + { + "epoch": 0.29, + "learning_rate": 0.00082799327976861, + "loss": 2.5882, + "step": 2150 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008278260033874456, + "loss": 2.6048, + "step": 2151 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008276586626229885, + "loss": 2.6089, + "step": 2152 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008274912575081031, + "loss": 2.6759, + "step": 2153 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008273237880756675, + "loss": 2.4387, + "step": 2154 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008271562543585711, + "loss": 2.6659, + "step": 2155 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008269886563897172, + "loss": 2.7716, + "step": 2156 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008268209942020211, + "loss": 2.5355, + "step": 2157 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008266532678284103, + "loss": 2.7096, + "step": 2158 + }, + { + "epoch": 0.3, + "learning_rate": 0.000826485477301826, + "loss": 2.7055, + "step": 2159 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008263176226552209, + "loss": 2.5535, + "step": 2160 + }, + { + "epoch": 0.3, + "learning_rate": 0.000826149703921561, + "loss": 2.6893, + "step": 2161 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008259817211338247, + "loss": 2.6616, + "step": 2162 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008258136743250026, + "loss": 2.5922, + "step": 2163 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008256455635280986, + "loss": 2.5818, + "step": 2164 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008254773887761285, + "loss": 2.7003, + "step": 2165 + }, + { + "epoch": 0.3, + "learning_rate": 0.000825309150102121, + "loss": 2.6441, + "step": 2166 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008251408475391176, + "loss": 2.6466, + "step": 2167 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008249724811201715, + "loss": 2.688, + "step": 2168 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008248040508783492, + "loss": 2.6775, + "step": 2169 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008246355568467296, + "loss": 2.6098, + "step": 2170 + }, + { + "epoch": 0.3, + "learning_rate": 0.000824466999058404, + "loss": 2.5227, + "step": 2171 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008242983775464761, + "loss": 2.597, + "step": 2172 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008241296923440624, + "loss": 2.5543, + "step": 2173 + }, + { + "epoch": 0.3, + "learning_rate": 0.000823960943484292, + "loss": 2.6652, + "step": 2174 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008237921310003058, + "loss": 2.4666, + "step": 2175 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008236232549252582, + "loss": 2.6362, + "step": 2176 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008234543152923151, + "loss": 2.6113, + "step": 2177 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008232853121346558, + "loss": 2.5322, + "step": 2178 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008231162454854711, + "loss": 2.5869, + "step": 2179 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008229471153779652, + "loss": 2.5244, + "step": 2180 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008227779218453543, + "loss": 2.7641, + "step": 2181 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008226086649208669, + "loss": 2.722, + "step": 2182 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008224393446377445, + "loss": 2.6775, + "step": 2183 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008222699610292405, + "loss": 2.5679, + "step": 2184 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008221005141286208, + "loss": 2.6692, + "step": 2185 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008219310039691642, + "loss": 2.5299, + "step": 2186 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008217614305841614, + "loss": 2.5761, + "step": 2187 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008215917940069158, + "loss": 2.4366, + "step": 2188 + }, + { + "epoch": 0.3, + "learning_rate": 0.000821422094270743, + "loss": 2.8101, + "step": 2189 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008212523314089714, + "loss": 2.6305, + "step": 2190 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008210825054549411, + "loss": 2.6547, + "step": 2191 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008209126164420055, + "loss": 2.6574, + "step": 2192 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008207426644035295, + "loss": 2.5838, + "step": 2193 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008205726493728911, + "loss": 2.5636, + "step": 2194 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008204025713834802, + "loss": 2.5107, + "step": 2195 + }, + { + "epoch": 0.3, + "learning_rate": 0.000820232430468699, + "loss": 2.4607, + "step": 2196 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008200622266619626, + "loss": 2.7235, + "step": 2197 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008198919599966981, + "loss": 2.7609, + "step": 2198 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008197216305063449, + "loss": 2.6194, + "step": 2199 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008195512382243547, + "loss": 2.4446, + "step": 2200 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008193807831841918, + "loss": 2.6234, + "step": 2201 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008192102654193327, + "loss": 2.5519, + "step": 2202 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008190396849632659, + "loss": 2.5638, + "step": 2203 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008188690418494928, + "loss": 2.6987, + "step": 2204 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008186983361115268, + "loss": 2.6308, + "step": 2205 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008185275677828935, + "loss": 2.654, + "step": 2206 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008183567368971308, + "loss": 2.4698, + "step": 2207 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008181858434877891, + "loss": 2.7385, + "step": 2208 + }, + { + "epoch": 0.3, + "learning_rate": 0.000818014887588431, + "loss": 2.5237, + "step": 2209 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008178438692326314, + "loss": 2.4838, + "step": 2210 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008176727884539772, + "loss": 2.6195, + "step": 2211 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008175016452860677, + "loss": 2.5686, + "step": 2212 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008173304397625147, + "loss": 2.5917, + "step": 2213 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008171591719169422, + "loss": 2.5448, + "step": 2214 + }, + { + "epoch": 0.3, + "learning_rate": 0.000816987841782986, + "loss": 2.6558, + "step": 2215 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008168164493942947, + "loss": 2.5386, + "step": 2216 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008166449947845285, + "loss": 2.4368, + "step": 2217 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008164734779873604, + "loss": 2.651, + "step": 2218 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008163018990364754, + "loss": 2.691, + "step": 2219 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008161302579655709, + "loss": 2.5602, + "step": 2220 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008159585548083558, + "loss": 2.6108, + "step": 2221 + }, + { + "epoch": 0.3, + "learning_rate": 0.000815786789598552, + "loss": 2.4564, + "step": 2222 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008156149623698933, + "loss": 2.6878, + "step": 2223 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008154430731561257, + "loss": 2.5952, + "step": 2224 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008152711219910071, + "loss": 2.5984, + "step": 2225 + }, + { + "epoch": 0.3, + "learning_rate": 0.000815099108908308, + "loss": 2.7077, + "step": 2226 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008149270339418107, + "loss": 2.4802, + "step": 2227 + }, + { + "epoch": 0.3, + "learning_rate": 0.00081475489712531, + "loss": 2.5913, + "step": 2228 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008145826984926126, + "loss": 2.5466, + "step": 2229 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008144104380775372, + "loss": 2.5064, + "step": 2230 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008142381159139152, + "loss": 2.5323, + "step": 2231 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008140657320355896, + "loss": 2.6333, + "step": 2232 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008138932864764155, + "loss": 2.4979, + "step": 2233 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008137207792702604, + "loss": 2.5891, + "step": 2234 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008135482104510039, + "loss": 2.5779, + "step": 2235 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008133755800525375, + "loss": 2.502, + "step": 2236 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008132028881087651, + "loss": 2.6698, + "step": 2237 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008130301346536022, + "loss": 2.46, + "step": 2238 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008128573197209767, + "loss": 2.4975, + "step": 2239 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008126844433448289, + "loss": 2.7823, + "step": 2240 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008125115055591103, + "loss": 2.6283, + "step": 2241 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008123385063977853, + "loss": 2.693, + "step": 2242 + }, + { + "epoch": 0.31, + "learning_rate": 0.00081216544589483, + "loss": 2.5765, + "step": 2243 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008119923240842324, + "loss": 2.5764, + "step": 2244 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008118191409999929, + "loss": 2.6275, + "step": 2245 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008116458966761235, + "loss": 2.6042, + "step": 2246 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008114725911466487, + "loss": 2.4196, + "step": 2247 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008112992244456046, + "loss": 2.4472, + "step": 2248 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008111257966070398, + "loss": 2.6297, + "step": 2249 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008109523076650141, + "loss": 2.5167, + "step": 2250 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008107787576536003, + "loss": 2.6081, + "step": 2251 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008106051466068827, + "loss": 2.5315, + "step": 2252 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008104314745589571, + "loss": 2.6549, + "step": 2253 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008102577415439323, + "loss": 2.6542, + "step": 2254 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008100839475959283, + "loss": 2.6921, + "step": 2255 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008099100927490772, + "loss": 2.6073, + "step": 2256 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008097361770375236, + "loss": 2.6335, + "step": 2257 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008095622004954231, + "loss": 2.5856, + "step": 2258 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008093881631569441, + "loss": 2.7557, + "step": 2259 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008092140650562665, + "loss": 2.5244, + "step": 2260 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008090399062275822, + "loss": 2.5271, + "step": 2261 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008088656867050953, + "loss": 2.555, + "step": 2262 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008086914065230215, + "loss": 2.6978, + "step": 2263 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008085170657155883, + "loss": 2.4915, + "step": 2264 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008083426643170355, + "loss": 2.4939, + "step": 2265 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008081682023616146, + "loss": 2.6147, + "step": 2266 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008079936798835888, + "loss": 2.5647, + "step": 2267 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008078190969172338, + "loss": 2.5683, + "step": 2268 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008076444534968364, + "loss": 2.6089, + "step": 2269 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008074697496566959, + "loss": 2.5345, + "step": 2270 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008072949854311229, + "loss": 2.6561, + "step": 2271 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008071201608544405, + "loss": 2.5435, + "step": 2272 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008069452759609832, + "loss": 2.419, + "step": 2273 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008067703307850973, + "loss": 2.6533, + "step": 2274 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008065953253611415, + "loss": 2.6249, + "step": 2275 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008064202597234855, + "loss": 2.5421, + "step": 2276 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008062451339065116, + "loss": 2.597, + "step": 2277 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008060699479446133, + "loss": 2.4583, + "step": 2278 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008058947018721965, + "loss": 2.5077, + "step": 2279 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008057193957236782, + "loss": 2.4561, + "step": 2280 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008055440295334881, + "loss": 2.7011, + "step": 2281 + }, + { + "epoch": 0.31, + "learning_rate": 0.000805368603336067, + "loss": 2.4203, + "step": 2282 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008051931171658673, + "loss": 2.5068, + "step": 2283 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008050175710573541, + "loss": 2.4736, + "step": 2284 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008048419650450034, + "loss": 2.5083, + "step": 2285 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008046662991633034, + "loss": 2.6198, + "step": 2286 + }, + { + "epoch": 0.31, + "learning_rate": 0.000804490573446754, + "loss": 2.4987, + "step": 2287 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008043147879298666, + "loss": 2.6743, + "step": 2288 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008041389426471648, + "loss": 2.5697, + "step": 2289 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008039630376331837, + "loss": 2.5586, + "step": 2290 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008037870729224697, + "loss": 2.8225, + "step": 2291 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008036110485495818, + "loss": 2.7875, + "step": 2292 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008034349645490901, + "loss": 2.6292, + "step": 2293 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008032588209555765, + "loss": 2.5978, + "step": 2294 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008030826178036345, + "loss": 2.7381, + "step": 2295 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008029063551278699, + "loss": 2.8343, + "step": 2296 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008027300329628996, + "loss": 2.5174, + "step": 2297 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008025536513433522, + "loss": 2.7701, + "step": 2298 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008023772103038682, + "loss": 2.5995, + "step": 2299 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008022007098790995, + "loss": 2.3499, + "step": 2300 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008020241501037103, + "loss": 2.6189, + "step": 2301 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008018475310123756, + "loss": 2.5506, + "step": 2302 + }, + { + "epoch": 0.32, + "learning_rate": 0.0008016708526397827, + "loss": 2.5499, + "step": 2303 + }, + { + "epoch": 0.32, + "learning_rate": 0.0008014941150206301, + "loss": 2.5239, + "step": 2304 + }, + { + "epoch": 0.32, + "learning_rate": 0.0008013173181896282, + "loss": 2.4739, + "step": 2305 + }, + { + "epoch": 0.32, + "learning_rate": 0.000801140462181499, + "loss": 2.5338, + "step": 2306 + }, + { + "epoch": 0.32, + "learning_rate": 0.0008009635470309762, + "loss": 2.5398, + "step": 2307 + }, + { + "epoch": 0.32, + "learning_rate": 0.0008007865727728047, + "loss": 2.5599, + "step": 2308 + }, + { + "epoch": 0.32, + "learning_rate": 0.0008006095394417417, + "loss": 2.536, + "step": 2309 + }, + { + "epoch": 0.32, + "learning_rate": 0.000800432447072555, + "loss": 2.5543, + "step": 2310 + }, + { + "epoch": 0.32, + "learning_rate": 0.0008002552957000253, + "loss": 2.6228, + "step": 2311 + }, + { + "epoch": 0.32, + "learning_rate": 0.0008000780853589437, + "loss": 2.4121, + "step": 2312 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007999008160841137, + "loss": 2.5487, + "step": 2313 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007997234879103498, + "loss": 2.5865, + "step": 2314 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007995461008724785, + "loss": 2.6284, + "step": 2315 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007993686550053376, + "loss": 2.5818, + "step": 2316 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007991911503437767, + "loss": 2.6037, + "step": 2317 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007990135869226562, + "loss": 2.7262, + "step": 2318 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007988359647768494, + "loss": 2.5115, + "step": 2319 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007986582839412397, + "loss": 2.6302, + "step": 2320 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007984805444507231, + "loss": 2.5301, + "step": 2321 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007983027463402065, + "loss": 2.4779, + "step": 2322 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007981248896446085, + "loss": 2.4846, + "step": 2323 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007979469743988593, + "loss": 2.5721, + "step": 2324 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007977690006379006, + "loss": 2.4347, + "step": 2325 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007975909683966851, + "loss": 2.4489, + "step": 2326 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007974128777101779, + "loss": 2.4648, + "step": 2327 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007972347286133547, + "loss": 2.4995, + "step": 2328 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007970565211412033, + "loss": 2.4368, + "step": 2329 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007968782553287226, + "loss": 2.5169, + "step": 2330 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007966999312109231, + "loss": 2.579, + "step": 2331 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007965215488228265, + "loss": 2.5878, + "step": 2332 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007963431081994663, + "loss": 2.5603, + "step": 2333 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007961646093758875, + "loss": 2.6781, + "step": 2334 + }, + { + "epoch": 0.32, + "learning_rate": 0.000795986052387146, + "loss": 2.5296, + "step": 2335 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007958074372683095, + "loss": 2.5505, + "step": 2336 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007956287640544572, + "loss": 2.5076, + "step": 2337 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007954500327806797, + "loss": 2.5213, + "step": 2338 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007952712434820786, + "loss": 2.4125, + "step": 2339 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007950923961937673, + "loss": 2.7134, + "step": 2340 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007949134909508704, + "loss": 2.4999, + "step": 2341 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007947345277885241, + "loss": 2.749, + "step": 2342 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007945555067418755, + "loss": 2.6555, + "step": 2343 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007943764278460836, + "loss": 2.4876, + "step": 2344 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007941972911363187, + "loss": 2.4641, + "step": 2345 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007940180966477619, + "loss": 2.5302, + "step": 2346 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007938388444156066, + "loss": 2.7041, + "step": 2347 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007936595344750564, + "loss": 2.5699, + "step": 2348 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007934801668613272, + "loss": 2.498, + "step": 2349 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007933007416096457, + "loss": 2.5022, + "step": 2350 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007931212587552501, + "loss": 2.5171, + "step": 2351 + }, + { + "epoch": 0.32, + "learning_rate": 0.00079294171833339, + "loss": 2.522, + "step": 2352 + }, + { + "epoch": 0.32, + "learning_rate": 0.000792762120379326, + "loss": 2.7184, + "step": 2353 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007925824649283304, + "loss": 2.654, + "step": 2354 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007924027520156865, + "loss": 2.5825, + "step": 2355 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007922229816766886, + "loss": 2.4986, + "step": 2356 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007920431539466433, + "loss": 2.6102, + "step": 2357 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007918632688608673, + "loss": 2.6244, + "step": 2358 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007916833264546892, + "loss": 2.562, + "step": 2359 + }, + { + "epoch": 0.32, + "learning_rate": 0.000791503326763449, + "loss": 2.5861, + "step": 2360 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007913232698224975, + "loss": 2.4881, + "step": 2361 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007911431556671967, + "loss": 2.5152, + "step": 2362 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007909629843329205, + "loss": 2.4865, + "step": 2363 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007907827558550532, + "loss": 2.5257, + "step": 2364 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007906024702689909, + "loss": 2.5202, + "step": 2365 + }, + { + "epoch": 0.32, + "learning_rate": 0.000790422127610141, + "loss": 2.4407, + "step": 2366 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007902417279139213, + "loss": 2.5644, + "step": 2367 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007900612712157618, + "loss": 2.4804, + "step": 2368 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007898807575511029, + "loss": 2.4769, + "step": 2369 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007897001869553968, + "loss": 2.5184, + "step": 2370 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007895195594641065, + "loss": 2.6921, + "step": 2371 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007893388751127061, + "loss": 2.756, + "step": 2372 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007891581339366816, + "loss": 2.561, + "step": 2373 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007889773359715291, + "loss": 2.602, + "step": 2374 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007887964812527564, + "loss": 2.3355, + "step": 2375 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007886155698158826, + "loss": 2.4786, + "step": 2376 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007884346016964378, + "loss": 2.6163, + "step": 2377 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007882535769299628, + "loss": 2.6521, + "step": 2378 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007880724955520105, + "loss": 2.5902, + "step": 2379 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007878913575981437, + "loss": 2.6286, + "step": 2380 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007877101631039372, + "loss": 2.6032, + "step": 2381 + }, + { + "epoch": 0.33, + "learning_rate": 0.000787528912104977, + "loss": 2.5286, + "step": 2382 + }, + { + "epoch": 0.33, + "learning_rate": 0.000787347604636859, + "loss": 2.7495, + "step": 2383 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007871662407351918, + "loss": 2.697, + "step": 2384 + }, + { + "epoch": 0.33, + "learning_rate": 0.000786984820435594, + "loss": 2.6404, + "step": 2385 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007868033437736957, + "loss": 2.6287, + "step": 2386 + }, + { + "epoch": 0.33, + "learning_rate": 0.000786621810785138, + "loss": 2.5768, + "step": 2387 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007864402215055726, + "loss": 2.5497, + "step": 2388 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007862585759706631, + "loss": 2.5106, + "step": 2389 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007860768742160837, + "loss": 2.5064, + "step": 2390 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007858951162775194, + "loss": 2.4631, + "step": 2391 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007857133021906668, + "loss": 2.7128, + "step": 2392 + }, + { + "epoch": 0.33, + "learning_rate": 0.000785531431991233, + "loss": 2.4814, + "step": 2393 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007853495057149364, + "loss": 2.5571, + "step": 2394 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007851675233975065, + "loss": 2.433, + "step": 2395 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007849854850746834, + "loss": 2.5798, + "step": 2396 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007848033907822186, + "loss": 2.4522, + "step": 2397 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007846212405558746, + "loss": 2.4694, + "step": 2398 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007844390344314247, + "loss": 2.6356, + "step": 2399 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007842567724446528, + "loss": 2.567, + "step": 2400 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007840744546313549, + "loss": 2.5428, + "step": 2401 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007838920810273365, + "loss": 2.4802, + "step": 2402 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007837096516684155, + "loss": 2.5474, + "step": 2403 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007835271665904195, + "loss": 2.5457, + "step": 2404 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007833446258291881, + "loss": 2.599, + "step": 2405 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007831620294205709, + "loss": 2.7285, + "step": 2406 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007829793774004291, + "loss": 2.4826, + "step": 2407 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007827966698046346, + "loss": 2.4303, + "step": 2408 + }, + { + "epoch": 0.33, + "learning_rate": 0.00078261390666907, + "loss": 2.6835, + "step": 2409 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007824310880296294, + "loss": 2.5364, + "step": 2410 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007822482139222171, + "loss": 2.5949, + "step": 2411 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007820652843827486, + "loss": 2.5729, + "step": 2412 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007818822994471504, + "loss": 2.5029, + "step": 2413 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007816992591513598, + "loss": 2.6292, + "step": 2414 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007815161635313249, + "loss": 2.3869, + "step": 2415 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007813330126230047, + "loss": 2.5478, + "step": 2416 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007811498064623691, + "loss": 2.5958, + "step": 2417 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007809665450853988, + "loss": 2.634, + "step": 2418 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007807832285280854, + "loss": 2.5645, + "step": 2419 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007805998568264312, + "loss": 2.5404, + "step": 2420 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007804164300164493, + "loss": 2.5037, + "step": 2421 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007802329481341643, + "loss": 2.5414, + "step": 2422 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007800494112156107, + "loss": 2.5492, + "step": 2423 + }, + { + "epoch": 0.33, + "learning_rate": 0.000779865819296834, + "loss": 2.4287, + "step": 2424 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007796821724138911, + "loss": 2.6811, + "step": 2425 + }, + { + "epoch": 0.33, + "learning_rate": 0.000779498470602849, + "loss": 2.5252, + "step": 2426 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007793147138997857, + "loss": 2.5728, + "step": 2427 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007791309023407904, + "loss": 2.3709, + "step": 2428 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007789470359619621, + "loss": 2.646, + "step": 2429 + }, + { + "epoch": 0.33, + "learning_rate": 0.000778763114799412, + "loss": 2.5048, + "step": 2430 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007785791388892607, + "loss": 2.5449, + "step": 2431 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007783951082676402, + "loss": 2.5307, + "step": 2432 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007782110229706932, + "loss": 2.6681, + "step": 2433 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007780268830345728, + "loss": 2.5541, + "step": 2434 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007778426884954434, + "loss": 2.6642, + "step": 2435 + }, + { + "epoch": 0.33, + "learning_rate": 0.00077765843938948, + "loss": 2.5042, + "step": 2436 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007774741357528678, + "loss": 2.6675, + "step": 2437 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007772897776218032, + "loss": 2.5213, + "step": 2438 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007771053650324931, + "loss": 2.5978, + "step": 2439 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007769208980211553, + "loss": 2.5223, + "step": 2440 + }, + { + "epoch": 0.33, + "learning_rate": 0.000776736376624018, + "loss": 2.7209, + "step": 2441 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007765518008773203, + "loss": 2.5828, + "step": 2442 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007763671708173117, + "loss": 2.6029, + "step": 2443 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007761824864802529, + "loss": 2.4956, + "step": 2444 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007759977479024148, + "loss": 2.4936, + "step": 2445 + }, + { + "epoch": 0.33, + "learning_rate": 0.000775812955120079, + "loss": 2.6728, + "step": 2446 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007756281081695379, + "loss": 2.6014, + "step": 2447 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007754432070870943, + "loss": 2.4386, + "step": 2448 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007752582519090621, + "loss": 2.6583, + "step": 2449 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007750732426717653, + "loss": 2.6511, + "step": 2450 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007748881794115387, + "loss": 2.4792, + "step": 2451 + }, + { + "epoch": 0.34, + "learning_rate": 0.000774703062164728, + "loss": 2.4169, + "step": 2452 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007745178909676891, + "loss": 2.5026, + "step": 2453 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007743326658567884, + "loss": 2.4591, + "step": 2454 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007741473868684035, + "loss": 2.417, + "step": 2455 + }, + { + "epoch": 0.34, + "learning_rate": 0.000773962054038922, + "loss": 2.3697, + "step": 2456 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007737766674047424, + "loss": 2.397, + "step": 2457 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007735912270022735, + "loss": 2.5794, + "step": 2458 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007734057328679352, + "loss": 2.6012, + "step": 2459 + }, + { + "epoch": 0.34, + "learning_rate": 0.000773220185038157, + "loss": 2.6369, + "step": 2460 + }, + { + "epoch": 0.34, + "learning_rate": 0.00077303458354938, + "loss": 2.5061, + "step": 2461 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007728489284380549, + "loss": 2.4048, + "step": 2462 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007726632197406439, + "loss": 2.6058, + "step": 2463 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007724774574936189, + "loss": 2.3667, + "step": 2464 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007722916417334625, + "loss": 2.6322, + "step": 2465 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007721057724966682, + "loss": 2.4905, + "step": 2466 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007719198498197397, + "loss": 2.4863, + "step": 2467 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007717338737391911, + "loss": 2.5972, + "step": 2468 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007715478442915471, + "loss": 2.4453, + "step": 2469 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007713617615133431, + "loss": 2.8122, + "step": 2470 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007711756254411246, + "loss": 2.4532, + "step": 2471 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007709894361114478, + "loss": 2.6741, + "step": 2472 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007708031935608793, + "loss": 2.6015, + "step": 2473 + }, + { + "epoch": 0.34, + "learning_rate": 0.000770616897825996, + "loss": 2.4985, + "step": 2474 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007704305489433855, + "loss": 2.5301, + "step": 2475 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007702441469496461, + "loss": 2.5332, + "step": 2476 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007700576918813857, + "loss": 2.3709, + "step": 2477 + }, + { + "epoch": 0.34, + "learning_rate": 0.000769871183775223, + "loss": 2.585, + "step": 2478 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007696846226677879, + "loss": 2.536, + "step": 2479 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007694980085957193, + "loss": 2.5361, + "step": 2480 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007693113415956674, + "loss": 2.5576, + "step": 2481 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007691246217042927, + "loss": 2.4877, + "step": 2482 + }, + { + "epoch": 0.34, + "learning_rate": 0.000768937848958266, + "loss": 2.5821, + "step": 2483 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007687510233942684, + "loss": 2.6114, + "step": 2484 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007685641450489915, + "loss": 2.6243, + "step": 2485 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007683772139591373, + "loss": 2.5264, + "step": 2486 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007681902301614181, + "loss": 2.4862, + "step": 2487 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007680031936925562, + "loss": 2.3482, + "step": 2488 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007678161045892849, + "loss": 2.5553, + "step": 2489 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007676289628883475, + "loss": 2.6731, + "step": 2490 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007674417686264974, + "loss": 2.6029, + "step": 2491 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007672545218404989, + "loss": 2.4346, + "step": 2492 + }, + { + "epoch": 0.34, + "learning_rate": 0.000767067222567126, + "loss": 2.5607, + "step": 2493 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007668798708431634, + "loss": 2.5713, + "step": 2494 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007666924667054058, + "loss": 2.5699, + "step": 2495 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007665050101906588, + "loss": 2.5429, + "step": 2496 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007663175013357375, + "loss": 2.259, + "step": 2497 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007661299401774677, + "loss": 2.5024, + "step": 2498 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007659423267526857, + "loss": 2.5284, + "step": 2499 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007657546610982375, + "loss": 2.5, + "step": 2500 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007655669432509796, + "loss": 2.2774, + "step": 2501 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007653791732477789, + "loss": 2.5101, + "step": 2502 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007651913511255125, + "loss": 2.4871, + "step": 2503 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007650034769210676, + "loss": 2.5605, + "step": 2504 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007648155506713417, + "loss": 2.3992, + "step": 2505 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007646275724132425, + "loss": 2.5511, + "step": 2506 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007644395421836881, + "loss": 2.6099, + "step": 2507 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007642514600196064, + "loss": 2.715, + "step": 2508 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007640633259579359, + "loss": 2.5477, + "step": 2509 + }, + { + "epoch": 0.34, + "learning_rate": 0.000763875140035625, + "loss": 2.4964, + "step": 2510 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007636869022896326, + "loss": 2.6145, + "step": 2511 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007634986127569275, + "loss": 2.5737, + "step": 2512 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007633102714744886, + "loss": 2.432, + "step": 2513 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007631218784793054, + "loss": 2.5763, + "step": 2514 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007629334338083773, + "loss": 2.5576, + "step": 2515 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007627449374987136, + "loss": 2.6029, + "step": 2516 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007625563895873342, + "loss": 2.5068, + "step": 2517 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007623677901112689, + "loss": 2.4398, + "step": 2518 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007621791391075573, + "loss": 2.4865, + "step": 2519 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007619904366132499, + "loss": 2.4673, + "step": 2520 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007618016826654066, + "loss": 2.4017, + "step": 2521 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007616128773010977, + "loss": 2.4666, + "step": 2522 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007614240205574039, + "loss": 2.4357, + "step": 2523 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007612351124714152, + "loss": 2.6189, + "step": 2524 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007610461530802324, + "loss": 2.4342, + "step": 2525 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007608571424209661, + "loss": 2.5494, + "step": 2526 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007606680805307369, + "loss": 2.6195, + "step": 2527 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007604789674466757, + "loss": 2.7033, + "step": 2528 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007602898032059231, + "loss": 2.5355, + "step": 2529 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007601005878456302, + "loss": 2.6852, + "step": 2530 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007599113214029578, + "loss": 2.4278, + "step": 2531 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007597220039150767, + "loss": 2.4616, + "step": 2532 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007595326354191682, + "loss": 2.5393, + "step": 2533 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007593432159524229, + "loss": 2.492, + "step": 2534 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007591537455520419, + "loss": 2.5167, + "step": 2535 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007589642242552361, + "loss": 2.4334, + "step": 2536 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007587746520992269, + "loss": 2.5436, + "step": 2537 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007585850291212447, + "loss": 2.4882, + "step": 2538 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007583953553585307, + "loss": 2.4043, + "step": 2539 + }, + { + "epoch": 0.35, + "learning_rate": 0.000758205630848336, + "loss": 2.538, + "step": 2540 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007580158556279212, + "loss": 2.4868, + "step": 2541 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007578260297345572, + "loss": 2.6456, + "step": 2542 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007576361532055249, + "loss": 2.5619, + "step": 2543 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007574462260781152, + "loss": 2.5689, + "step": 2544 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007572562483896284, + "loss": 2.5465, + "step": 2545 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007570662201773754, + "loss": 2.4494, + "step": 2546 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007568761414786767, + "loss": 2.5832, + "step": 2547 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007566860123308626, + "loss": 2.3414, + "step": 2548 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007564958327712734, + "loss": 2.6914, + "step": 2549 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007563056028372598, + "loss": 2.4483, + "step": 2550 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007561153225661816, + "loss": 2.4019, + "step": 2551 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007559249919954087, + "loss": 2.5146, + "step": 2552 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007557346111623216, + "loss": 2.4365, + "step": 2553 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007555441801043093, + "loss": 2.4307, + "step": 2554 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007553536988587721, + "loss": 2.3704, + "step": 2555 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007551631674631192, + "loss": 2.4537, + "step": 2556 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007549725859547701, + "loss": 2.4372, + "step": 2557 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007547819543711538, + "loss": 2.439, + "step": 2558 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007545912727497097, + "loss": 2.5593, + "step": 2559 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007544005411278862, + "loss": 2.4461, + "step": 2560 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007542097595431424, + "loss": 2.5029, + "step": 2561 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007540189280329464, + "loss": 2.504, + "step": 2562 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007538280466347769, + "loss": 2.617, + "step": 2563 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007536371153861217, + "loss": 2.52, + "step": 2564 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007534461343244787, + "loss": 2.4561, + "step": 2565 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007532551034873558, + "loss": 2.534, + "step": 2566 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007530640229122703, + "loss": 2.4866, + "step": 2567 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007528728926367493, + "loss": 2.4817, + "step": 2568 + }, + { + "epoch": 0.35, + "learning_rate": 0.00075268171269833, + "loss": 2.4278, + "step": 2569 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007524904831345589, + "loss": 2.5157, + "step": 2570 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007522992039829928, + "loss": 2.5049, + "step": 2571 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007521078752811974, + "loss": 2.4215, + "step": 2572 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007519164970667491, + "loss": 2.5319, + "step": 2573 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007517250693772336, + "loss": 2.5364, + "step": 2574 + }, + { + "epoch": 0.35, + "learning_rate": 0.000751533592250246, + "loss": 2.5585, + "step": 2575 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007513420657233914, + "loss": 2.536, + "step": 2576 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007511504898342848, + "loss": 2.5595, + "step": 2577 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007509588646205505, + "loss": 2.5739, + "step": 2578 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007507671901198227, + "loss": 2.5658, + "step": 2579 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007505754663697456, + "loss": 2.3956, + "step": 2580 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007503836934079723, + "loss": 2.6116, + "step": 2581 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007501918712721662, + "loss": 2.536, + "step": 2582 + }, + { + "epoch": 0.35, + "learning_rate": 0.00075, + "loss": 2.4109, + "step": 2583 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007498080796291564, + "loss": 2.5162, + "step": 2584 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007496161101973273, + "loss": 2.5722, + "step": 2585 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007494240917422149, + "loss": 2.5947, + "step": 2586 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007492320243015303, + "loss": 2.4036, + "step": 2587 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007490399079129944, + "loss": 2.4514, + "step": 2588 + }, + { + "epoch": 0.35, + "learning_rate": 0.000748847742614338, + "loss": 2.4648, + "step": 2589 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007486555284433016, + "loss": 2.4128, + "step": 2590 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007484632654376346, + "loss": 2.4651, + "step": 2591 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007482709536350967, + "loss": 2.5629, + "step": 2592 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007480785930734568, + "loss": 2.4352, + "step": 2593 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007478861837904938, + "loss": 2.4944, + "step": 2594 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007476937258239953, + "loss": 2.5269, + "step": 2595 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007475012192117597, + "loss": 2.4443, + "step": 2596 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007473086639915938, + "loss": 2.4577, + "step": 2597 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007471160602013145, + "loss": 2.4503, + "step": 2598 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007469234078787482, + "loss": 2.5609, + "step": 2599 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007467307070617308, + "loss": 2.3763, + "step": 2600 + }, + { + "epoch": 0.36, + "learning_rate": 0.000746537957788108, + "loss": 2.5023, + "step": 2601 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007463451600957342, + "loss": 2.443, + "step": 2602 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007461523140224742, + "loss": 2.498, + "step": 2603 + }, + { + "epoch": 0.36, + "learning_rate": 0.000745959419606202, + "loss": 2.6459, + "step": 2604 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007457664768848008, + "loss": 2.3521, + "step": 2605 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007455734858961637, + "loss": 2.5046, + "step": 2606 + }, + { + "epoch": 0.36, + "learning_rate": 0.000745380446678193, + "loss": 2.5839, + "step": 2607 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007451873592688008, + "loss": 2.6044, + "step": 2608 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007449942237059082, + "loss": 2.4008, + "step": 2609 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007448010400274461, + "loss": 2.4615, + "step": 2610 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007446078082713547, + "loss": 2.4846, + "step": 2611 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007444145284755837, + "loss": 2.5564, + "step": 2612 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007442212006780924, + "loss": 2.4388, + "step": 2613 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007440278249168491, + "loss": 2.471, + "step": 2614 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007438344012298319, + "loss": 2.6386, + "step": 2615 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007436409296550283, + "loss": 2.5886, + "step": 2616 + }, + { + "epoch": 0.36, + "learning_rate": 0.000743447410230435, + "loss": 2.5399, + "step": 2617 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007432538429940581, + "loss": 2.4808, + "step": 2618 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007430602279839131, + "loss": 2.5844, + "step": 2619 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007428665652380255, + "loss": 2.7935, + "step": 2620 + }, + { + "epoch": 0.36, + "learning_rate": 0.000742672854794429, + "loss": 2.3645, + "step": 2621 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007424790966911675, + "loss": 2.381, + "step": 2622 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007422852909662942, + "loss": 2.4632, + "step": 2623 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007420914376578717, + "loss": 2.4755, + "step": 2624 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007418975368039711, + "loss": 2.2774, + "step": 2625 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007417035884426743, + "loss": 2.4028, + "step": 2626 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007415095926120711, + "loss": 2.4376, + "step": 2627 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007413155493502616, + "loss": 2.5337, + "step": 2628 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007411214586953548, + "loss": 2.4299, + "step": 2629 + }, + { + "epoch": 0.36, + "learning_rate": 0.000740927320685469, + "loss": 2.4836, + "step": 2630 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007407331353587319, + "loss": 2.582, + "step": 2631 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007405389027532806, + "loss": 2.5921, + "step": 2632 + }, + { + "epoch": 0.36, + "learning_rate": 0.000740344622907261, + "loss": 2.5228, + "step": 2633 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007401502958588292, + "loss": 2.4363, + "step": 2634 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007399559216461495, + "loss": 2.5449, + "step": 2635 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007397615003073963, + "loss": 2.4271, + "step": 2636 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007395670318807528, + "loss": 2.5016, + "step": 2637 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007393725164044114, + "loss": 2.5262, + "step": 2638 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007391779539165741, + "loss": 2.5885, + "step": 2639 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007389833444554521, + "loss": 2.6966, + "step": 2640 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007387886880592654, + "loss": 2.6122, + "step": 2641 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007385939847662434, + "loss": 2.5699, + "step": 2642 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007383992346146251, + "loss": 2.5225, + "step": 2643 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007382044376426582, + "loss": 2.3909, + "step": 2644 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007380095938886, + "loss": 2.3627, + "step": 2645 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007378147033907163, + "loss": 2.4571, + "step": 2646 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007376197661872832, + "loss": 2.5015, + "step": 2647 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007374247823165851, + "loss": 2.4626, + "step": 2648 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007372297518169154, + "loss": 2.5985, + "step": 2649 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007370346747265777, + "loss": 2.5201, + "step": 2650 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007368395510838838, + "loss": 2.5487, + "step": 2651 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007366443809271547, + "loss": 2.5174, + "step": 2652 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007364491642947213, + "loss": 2.4468, + "step": 2653 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007362539012249228, + "loss": 2.4, + "step": 2654 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007360585917561078, + "loss": 2.4487, + "step": 2655 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007358632359266341, + "loss": 2.3165, + "step": 2656 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007356678337748687, + "loss": 2.4317, + "step": 2657 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007354723853391875, + "loss": 2.4321, + "step": 2658 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007352768906579753, + "loss": 2.4894, + "step": 2659 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007350813497696265, + "loss": 2.5573, + "step": 2660 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007348857627125442, + "loss": 2.5833, + "step": 2661 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007346901295251406, + "loss": 2.4243, + "step": 2662 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007344944502458371, + "loss": 2.544, + "step": 2663 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007342987249130641, + "loss": 2.6683, + "step": 2664 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007341029535652609, + "loss": 2.5758, + "step": 2665 + }, + { + "epoch": 0.36, + "learning_rate": 0.000733907136240876, + "loss": 2.4003, + "step": 2666 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007337112729783671, + "loss": 2.5539, + "step": 2667 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007335153638162004, + "loss": 2.5031, + "step": 2668 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007333194087928515, + "loss": 2.357, + "step": 2669 + }, + { + "epoch": 0.37, + "learning_rate": 0.000733123407946805, + "loss": 2.3477, + "step": 2670 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007329273613165546, + "loss": 2.3633, + "step": 2671 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007327312689406023, + "loss": 2.5739, + "step": 2672 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007325351308574602, + "loss": 2.3746, + "step": 2673 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007323389471056485, + "loss": 2.3664, + "step": 2674 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007321427177236965, + "loss": 2.5956, + "step": 2675 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007319464427501429, + "loss": 2.509, + "step": 2676 + }, + { + "epoch": 0.37, + "learning_rate": 0.000731750122223535, + "loss": 2.4716, + "step": 2677 + }, + { + "epoch": 0.37, + "learning_rate": 0.000731553756182429, + "loss": 2.5404, + "step": 2678 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007313573446653902, + "loss": 2.4351, + "step": 2679 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007311608877109928, + "loss": 2.5639, + "step": 2680 + }, + { + "epoch": 0.37, + "learning_rate": 0.00073096438535782, + "loss": 2.415, + "step": 2681 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007307678376444636, + "loss": 2.6072, + "step": 2682 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007305712446095248, + "loss": 2.7389, + "step": 2683 + }, + { + "epoch": 0.37, + "learning_rate": 0.000730374606291613, + "loss": 2.4825, + "step": 2684 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007301779227293475, + "loss": 2.4225, + "step": 2685 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007299811939613554, + "loss": 2.4817, + "step": 2686 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007297844200262736, + "loss": 2.42, + "step": 2687 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007295876009627472, + "loss": 2.6397, + "step": 2688 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007293907368094304, + "loss": 2.4682, + "step": 2689 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007291938276049865, + "loss": 2.4266, + "step": 2690 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007289968733880874, + "loss": 2.4994, + "step": 2691 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007287998741974136, + "loss": 2.5522, + "step": 2692 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007286028300716548, + "loss": 2.4823, + "step": 2693 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007284057410495097, + "loss": 2.5147, + "step": 2694 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007282086071696851, + "loss": 2.5329, + "step": 2695 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007280114284708975, + "loss": 2.5093, + "step": 2696 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007278142049918715, + "loss": 2.425, + "step": 2697 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007276169367713407, + "loss": 2.3889, + "step": 2698 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007274196238480476, + "loss": 2.3415, + "step": 2699 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007272222662607436, + "loss": 2.6197, + "step": 2700 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007270248640481883, + "loss": 2.4327, + "step": 2701 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007268274172491508, + "loss": 2.5309, + "step": 2702 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007266299259024084, + "loss": 2.5162, + "step": 2703 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007264323900467476, + "loss": 2.5433, + "step": 2704 + }, + { + "epoch": 0.37, + "learning_rate": 0.000726234809720963, + "loss": 2.5905, + "step": 2705 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007260371849638587, + "loss": 2.4827, + "step": 2706 + }, + { + "epoch": 0.37, + "learning_rate": 0.000725839515814247, + "loss": 2.5542, + "step": 2707 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007256418023109492, + "loss": 2.5132, + "step": 2708 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007254440444927948, + "loss": 2.5938, + "step": 2709 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007252462423986229, + "loss": 2.5681, + "step": 2710 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007250483960672805, + "loss": 2.5361, + "step": 2711 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007248505055376236, + "loss": 2.6314, + "step": 2712 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007246525708485169, + "loss": 2.4204, + "step": 2713 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007244545920388337, + "loss": 2.417, + "step": 2714 + }, + { + "epoch": 0.37, + "learning_rate": 0.000724256569147456, + "loss": 2.3653, + "step": 2715 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007240585022132744, + "loss": 2.6029, + "step": 2716 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007238603912751882, + "loss": 2.4267, + "step": 2717 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007236622363721055, + "loss": 2.4477, + "step": 2718 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007234640375429427, + "loss": 2.4984, + "step": 2719 + }, + { + "epoch": 0.37, + "learning_rate": 0.000723265794826625, + "loss": 2.3979, + "step": 2720 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007230675082620865, + "loss": 2.606, + "step": 2721 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007228691778882692, + "loss": 2.6016, + "step": 2722 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007226708037441243, + "loss": 2.4229, + "step": 2723 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007224723858686117, + "loss": 2.4551, + "step": 2724 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007222739243006993, + "loss": 2.5417, + "step": 2725 + }, + { + "epoch": 0.37, + "learning_rate": 0.000722075419079364, + "loss": 2.6248, + "step": 2726 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007218768702435911, + "loss": 2.299, + "step": 2727 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007216782778323747, + "loss": 2.476, + "step": 2728 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007214796418847172, + "loss": 2.4404, + "step": 2729 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007212809624396295, + "loss": 2.6341, + "step": 2730 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007210822395361318, + "loss": 2.516, + "step": 2731 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007208834732132514, + "loss": 2.4243, + "step": 2732 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007206846635100254, + "loss": 2.4647, + "step": 2733 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007204858104654991, + "loss": 2.6793, + "step": 2734 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007202869141187259, + "loss": 2.8023, + "step": 2735 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007200879745087681, + "loss": 2.3661, + "step": 2736 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007198889916746964, + "loss": 2.5741, + "step": 2737 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007196899656555899, + "loss": 2.511, + "step": 2738 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007194908964905363, + "loss": 2.3751, + "step": 2739 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007192917842186317, + "loss": 2.3528, + "step": 2740 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007190926288789807, + "loss": 2.3186, + "step": 2741 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007188934305106967, + "loss": 2.4455, + "step": 2742 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007186941891529007, + "loss": 2.5572, + "step": 2743 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007184949048447227, + "loss": 2.2856, + "step": 2744 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007182955776253015, + "loss": 2.4761, + "step": 2745 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007180962075337834, + "loss": 2.3895, + "step": 2746 + }, + { + "epoch": 0.38, + "learning_rate": 0.000717896794609324, + "loss": 2.3752, + "step": 2747 + }, + { + "epoch": 0.38, + "learning_rate": 0.000717697338891087, + "loss": 2.3275, + "step": 2748 + }, + { + "epoch": 0.38, + "learning_rate": 0.000717497840418244, + "loss": 2.3981, + "step": 2749 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007172982992299758, + "loss": 2.4174, + "step": 2750 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007170987153654712, + "loss": 2.4551, + "step": 2751 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007168990888639273, + "loss": 2.6231, + "step": 2752 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007166994197645496, + "loss": 2.6611, + "step": 2753 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007164997081065526, + "loss": 2.4453, + "step": 2754 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007162999539291579, + "loss": 2.4955, + "step": 2755 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007161001572715965, + "loss": 2.5788, + "step": 2756 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007159003181731075, + "loss": 2.4839, + "step": 2757 + }, + { + "epoch": 0.38, + "learning_rate": 0.000715700436672938, + "loss": 2.5323, + "step": 2758 + }, + { + "epoch": 0.38, + "learning_rate": 0.000715500512810344, + "loss": 2.4739, + "step": 2759 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007153005466245891, + "loss": 2.5181, + "step": 2760 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007151005381549459, + "loss": 2.4299, + "step": 2761 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007149004874406948, + "loss": 2.4806, + "step": 2762 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007147003945211249, + "loss": 2.4557, + "step": 2763 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007145002594355332, + "loss": 2.6029, + "step": 2764 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007143000822232254, + "loss": 2.4967, + "step": 2765 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007140998629235149, + "loss": 2.4244, + "step": 2766 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007138996015757241, + "loss": 2.4693, + "step": 2767 + }, + { + "epoch": 0.38, + "learning_rate": 0.000713699298219183, + "loss": 2.4494, + "step": 2768 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007134989528932302, + "loss": 2.5574, + "step": 2769 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007132985656372125, + "loss": 2.4102, + "step": 2770 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007130981364904848, + "loss": 2.5994, + "step": 2771 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007128976654924105, + "loss": 2.4056, + "step": 2772 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007126971526823609, + "loss": 2.5196, + "step": 2773 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007124965980997156, + "loss": 2.624, + "step": 2774 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007122960017838626, + "loss": 2.3026, + "step": 2775 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007120953637741978, + "loss": 2.5639, + "step": 2776 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007118946841101258, + "loss": 2.4492, + "step": 2777 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007116939628310587, + "loss": 2.3885, + "step": 2778 + }, + { + "epoch": 0.38, + "learning_rate": 0.000711493199976417, + "loss": 2.5101, + "step": 2779 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007112923955856298, + "loss": 2.3936, + "step": 2780 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007110915496981339, + "loss": 2.3815, + "step": 2781 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007108906623533741, + "loss": 2.3287, + "step": 2782 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007106897335908038, + "loss": 2.3309, + "step": 2783 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007104887634498847, + "loss": 2.3973, + "step": 2784 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007102877519700857, + "loss": 2.447, + "step": 2785 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007100866991908845, + "loss": 2.5434, + "step": 2786 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007098856051517673, + "loss": 2.3332, + "step": 2787 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007096844698922274, + "loss": 2.3072, + "step": 2788 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007094832934517668, + "loss": 2.5049, + "step": 2789 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007092820758698954, + "loss": 2.3347, + "step": 2790 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007090808171861319, + "loss": 2.4075, + "step": 2791 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007088795174400015, + "loss": 2.6006, + "step": 2792 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007086781766710389, + "loss": 2.4185, + "step": 2793 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007084767949187865, + "loss": 2.4524, + "step": 2794 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007082753722227943, + "loss": 2.4996, + "step": 2795 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007080739086226208, + "loss": 2.4595, + "step": 2796 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007078724041578325, + "loss": 2.502, + "step": 2797 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007076708588680034, + "loss": 2.4444, + "step": 2798 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007074692727927163, + "loss": 2.5514, + "step": 2799 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007072676459715618, + "loss": 2.6171, + "step": 2800 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007070659784441378, + "loss": 2.5864, + "step": 2801 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007068642702500512, + "loss": 2.4203, + "step": 2802 + }, + { + "epoch": 0.38, + "learning_rate": 0.000706662521428916, + "loss": 2.525, + "step": 2803 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007064607320203551, + "loss": 2.2703, + "step": 2804 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007062589020639986, + "loss": 2.5117, + "step": 2805 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007060570315994845, + "loss": 2.5935, + "step": 2806 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007058551206664598, + "loss": 2.5288, + "step": 2807 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007056531693045784, + "loss": 2.3933, + "step": 2808 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007054511775535022, + "loss": 2.4713, + "step": 2809 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007052491454529017, + "loss": 2.5866, + "step": 2810 + }, + { + "epoch": 0.38, + "learning_rate": 0.000705047073042455, + "loss": 2.5232, + "step": 2811 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007048449603618475, + "loss": 2.3716, + "step": 2812 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007046428074507736, + "loss": 2.5076, + "step": 2813 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007044406143489348, + "loss": 2.4464, + "step": 2814 + }, + { + "epoch": 0.39, + "learning_rate": 0.000704238381096041, + "loss": 2.4501, + "step": 2815 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007040361077318095, + "loss": 2.457, + "step": 2816 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007038337942959659, + "loss": 2.3826, + "step": 2817 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007036314408282433, + "loss": 2.3387, + "step": 2818 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007034290473683829, + "loss": 2.3581, + "step": 2819 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007032266139561336, + "loss": 2.4035, + "step": 2820 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007030241406312527, + "loss": 2.633, + "step": 2821 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007028216274335044, + "loss": 2.5026, + "step": 2822 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007026190744026615, + "loss": 2.5144, + "step": 2823 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007024164815785042, + "loss": 2.4084, + "step": 2824 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007022138490008206, + "loss": 2.5083, + "step": 2825 + }, + { + "epoch": 0.39, + "learning_rate": 0.000702011176709407, + "loss": 2.3229, + "step": 2826 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007018084647440667, + "loss": 2.6349, + "step": 2827 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007016057131446116, + "loss": 2.4732, + "step": 2828 + }, + { + "epoch": 0.39, + "learning_rate": 0.000701402921950861, + "loss": 2.4987, + "step": 2829 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007012000912026419, + "loss": 2.6202, + "step": 2830 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007009972209397893, + "loss": 2.5137, + "step": 2831 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007007943112021459, + "loss": 2.3941, + "step": 2832 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007005913620295617, + "loss": 2.626, + "step": 2833 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007003883734618952, + "loss": 2.4566, + "step": 2834 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007001853455390123, + "loss": 2.4393, + "step": 2835 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006999822783007865, + "loss": 2.4365, + "step": 2836 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006997791717870992, + "loss": 2.4979, + "step": 2837 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006995760260378395, + "loss": 2.5551, + "step": 2838 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006993728410929037, + "loss": 2.6249, + "step": 2839 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006991696169921968, + "loss": 2.3341, + "step": 2840 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006989663537756309, + "loss": 2.6287, + "step": 2841 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006987630514831255, + "loss": 2.3586, + "step": 2842 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006985597101546082, + "loss": 2.4915, + "step": 2843 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006983563298300142, + "loss": 2.4021, + "step": 2844 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006981529105492864, + "loss": 2.5247, + "step": 2845 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006979494523523752, + "loss": 2.3997, + "step": 2846 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006977459552792387, + "loss": 2.5655, + "step": 2847 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006975424193698428, + "loss": 2.4909, + "step": 2848 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006973388446641605, + "loss": 2.3564, + "step": 2849 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006971352312021732, + "loss": 2.5191, + "step": 2850 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006969315790238692, + "loss": 2.4621, + "step": 2851 + }, + { + "epoch": 0.39, + "learning_rate": 0.000696727888169245, + "loss": 2.472, + "step": 2852 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006965241586783042, + "loss": 2.4381, + "step": 2853 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006963203905910584, + "loss": 2.429, + "step": 2854 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006961165839475262, + "loss": 2.6136, + "step": 2855 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006959127387877345, + "loss": 2.4602, + "step": 2856 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006957088551517173, + "loss": 2.3897, + "step": 2857 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006955049330795162, + "loss": 2.4916, + "step": 2858 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006953009726111805, + "loss": 2.4632, + "step": 2859 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006950969737867669, + "loss": 2.4556, + "step": 2860 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006948929366463397, + "loss": 2.4655, + "step": 2861 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006946888612299709, + "loss": 2.6236, + "step": 2862 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006944847475777394, + "loss": 2.5438, + "step": 2863 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006942805957297325, + "loss": 2.5321, + "step": 2864 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006940764057260443, + "loss": 2.4724, + "step": 2865 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006938721776067767, + "loss": 2.4559, + "step": 2866 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006936679114120389, + "loss": 2.6654, + "step": 2867 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006934636071819479, + "loss": 2.4499, + "step": 2868 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006932592649566278, + "loss": 2.4233, + "step": 2869 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006930548847762104, + "loss": 2.409, + "step": 2870 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006928504666808351, + "loss": 2.3846, + "step": 2871 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006926460107106483, + "loss": 2.5107, + "step": 2872 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006924415169058038, + "loss": 2.3987, + "step": 2873 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006922369853064636, + "loss": 2.5159, + "step": 2874 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006920324159527965, + "loss": 2.5277, + "step": 2875 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006918278088849786, + "loss": 2.5539, + "step": 2876 + }, + { + "epoch": 0.39, + "learning_rate": 0.000691623164143194, + "loss": 2.5707, + "step": 2877 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006914184817676336, + "loss": 2.3486, + "step": 2878 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006912137617984959, + "loss": 2.5354, + "step": 2879 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006910090042759869, + "loss": 2.6177, + "step": 2880 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006908042092403201, + "loss": 2.4778, + "step": 2881 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006905993767317157, + "loss": 2.4623, + "step": 2882 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006903945067904021, + "loss": 2.5354, + "step": 2883 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006901895994566147, + "loss": 2.4578, + "step": 2884 + }, + { + "epoch": 0.39, + "learning_rate": 0.000689984654770596, + "loss": 2.4888, + "step": 2885 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006897796727725959, + "loss": 2.5442, + "step": 2886 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006895746535028723, + "loss": 2.3752, + "step": 2887 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006893695970016894, + "loss": 2.4779, + "step": 2888 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006891645033093196, + "loss": 2.5573, + "step": 2889 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006889593724660418, + "loss": 2.3252, + "step": 2890 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006887542045121431, + "loss": 2.5169, + "step": 2891 + }, + { + "epoch": 0.4, + "learning_rate": 0.000688548999487917, + "loss": 2.4919, + "step": 2892 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006883437574336648, + "loss": 2.4369, + "step": 2893 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006881384783896951, + "loss": 2.4194, + "step": 2894 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006879331623963237, + "loss": 2.3575, + "step": 2895 + }, + { + "epoch": 0.4, + "learning_rate": 0.000687727809493873, + "loss": 2.2123, + "step": 2896 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006875224197226737, + "loss": 2.3883, + "step": 2897 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006873169931230633, + "loss": 2.458, + "step": 2898 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006871115297353862, + "loss": 2.4507, + "step": 2899 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006869060295999945, + "loss": 2.4854, + "step": 2900 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006867004927572474, + "loss": 2.315, + "step": 2901 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006864949192475112, + "loss": 2.4777, + "step": 2902 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006862893091111594, + "loss": 2.3959, + "step": 2903 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006860836623885727, + "loss": 2.4605, + "step": 2904 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006858779791201391, + "loss": 2.4711, + "step": 2905 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006856722593462538, + "loss": 2.2359, + "step": 2906 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006854665031073189, + "loss": 2.3525, + "step": 2907 + }, + { + "epoch": 0.4, + "learning_rate": 0.000685260710443744, + "loss": 2.3597, + "step": 2908 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006850548813959455, + "loss": 2.451, + "step": 2909 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006848490160043472, + "loss": 2.4287, + "step": 2910 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006846431143093802, + "loss": 2.4462, + "step": 2911 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006844371763514822, + "loss": 2.5817, + "step": 2912 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006842312021710983, + "loss": 2.3136, + "step": 2913 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006840251918086812, + "loss": 2.4357, + "step": 2914 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006838191453046898, + "loss": 2.431, + "step": 2915 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006836130626995905, + "loss": 2.3947, + "step": 2916 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006834069440338573, + "loss": 2.437, + "step": 2917 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006832007893479703, + "loss": 2.4479, + "step": 2918 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006829945986824176, + "loss": 2.4504, + "step": 2919 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006827883720776933, + "loss": 2.5699, + "step": 2920 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006825821095743002, + "loss": 2.4355, + "step": 2921 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006823758112127465, + "loss": 2.3785, + "step": 2922 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006821694770335481, + "loss": 2.3743, + "step": 2923 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006819631070772283, + "loss": 2.3381, + "step": 2924 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006817567013843169, + "loss": 2.4623, + "step": 2925 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006815502599953506, + "loss": 2.5346, + "step": 2926 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006813437829508738, + "loss": 2.4159, + "step": 2927 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006811372702914371, + "loss": 2.4266, + "step": 2928 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006809307220575991, + "loss": 2.5515, + "step": 2929 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006807241382899242, + "loss": 2.4409, + "step": 2930 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006805175190289847, + "loss": 2.3989, + "step": 2931 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006803108643153592, + "loss": 2.3964, + "step": 2932 + }, + { + "epoch": 0.4, + "learning_rate": 0.000680104174189634, + "loss": 2.3746, + "step": 2933 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006798974486924016, + "loss": 2.569, + "step": 2934 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006796906878642621, + "loss": 2.4191, + "step": 2935 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006794838917458221, + "loss": 2.3798, + "step": 2936 + }, + { + "epoch": 0.4, + "learning_rate": 0.000679277060377695, + "loss": 2.421, + "step": 2937 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006790701938005018, + "loss": 2.4491, + "step": 2938 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006788632920548698, + "loss": 2.5782, + "step": 2939 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006786563551814333, + "loss": 2.4627, + "step": 2940 + }, + { + "epoch": 0.4, + "learning_rate": 0.000678449383220834, + "loss": 2.4647, + "step": 2941 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006782423762137197, + "loss": 2.3358, + "step": 2942 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006780353342007454, + "loss": 2.4703, + "step": 2943 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006778282572225736, + "loss": 2.528, + "step": 2944 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006776211453198728, + "loss": 2.4455, + "step": 2945 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006774139985333185, + "loss": 2.3012, + "step": 2946 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006772068169035935, + "loss": 2.504, + "step": 2947 + }, + { + "epoch": 0.4, + "learning_rate": 0.000676999600471387, + "loss": 2.3791, + "step": 2948 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006767923492773955, + "loss": 2.4742, + "step": 2949 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006765850633623215, + "loss": 2.5111, + "step": 2950 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006763777427668755, + "loss": 2.5671, + "step": 2951 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006761703875317738, + "loss": 2.6391, + "step": 2952 + }, + { + "epoch": 0.4, + "learning_rate": 0.00067596299769774, + "loss": 2.3263, + "step": 2953 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006757555733055041, + "loss": 2.3524, + "step": 2954 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006755481143958035, + "loss": 2.4998, + "step": 2955 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006753406210093818, + "loss": 2.4035, + "step": 2956 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006751330931869897, + "loss": 2.531, + "step": 2957 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006749255309693846, + "loss": 2.4697, + "step": 2958 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006747179343973307, + "loss": 2.4906, + "step": 2959 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006745103035115985, + "loss": 2.5877, + "step": 2960 + }, + { + "epoch": 0.41, + "learning_rate": 0.000674302638352966, + "loss": 2.3788, + "step": 2961 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006740949389622174, + "loss": 2.5087, + "step": 2962 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006738872053801437, + "loss": 2.4322, + "step": 2963 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006736794376475428, + "loss": 2.3794, + "step": 2964 + }, + { + "epoch": 0.41, + "learning_rate": 0.000673471635805219, + "loss": 2.3476, + "step": 2965 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006732637998939836, + "loss": 2.3565, + "step": 2966 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006730559299546546, + "loss": 2.5144, + "step": 2967 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006728480260280565, + "loss": 2.5082, + "step": 2968 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006726400881550203, + "loss": 2.5215, + "step": 2969 + }, + { + "epoch": 0.41, + "learning_rate": 0.000672432116376384, + "loss": 2.5277, + "step": 2970 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006722241107329925, + "loss": 2.4647, + "step": 2971 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006720160712656965, + "loss": 2.6049, + "step": 2972 + }, + { + "epoch": 0.41, + "learning_rate": 0.000671807998015354, + "loss": 2.4816, + "step": 2973 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006715998910228296, + "loss": 2.3413, + "step": 2974 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006713917503289946, + "loss": 2.4611, + "step": 2975 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006711835759747264, + "loss": 2.4094, + "step": 2976 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006709753680009092, + "loss": 2.5509, + "step": 2977 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006707671264484345, + "loss": 2.2821, + "step": 2978 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006705588513581994, + "loss": 2.5482, + "step": 2979 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006703505427711081, + "loss": 2.451, + "step": 2980 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006701422007280714, + "loss": 2.4133, + "step": 2981 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006699338252700067, + "loss": 2.4385, + "step": 2982 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006697254164378375, + "loss": 2.4113, + "step": 2983 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006695169742724943, + "loss": 2.4546, + "step": 2984 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006693084988149141, + "loss": 2.5974, + "step": 2985 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006690999901060406, + "loss": 2.4397, + "step": 2986 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006688914481868235, + "loss": 2.3717, + "step": 2987 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006686828730982192, + "loss": 2.523, + "step": 2988 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006684742648811913, + "loss": 2.4265, + "step": 2989 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006682656235767089, + "loss": 2.5085, + "step": 2990 + }, + { + "epoch": 0.41, + "learning_rate": 0.000668056949225748, + "loss": 2.3695, + "step": 2991 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006678482418692915, + "loss": 2.4572, + "step": 2992 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006676395015483281, + "loss": 2.3743, + "step": 2993 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006674307283038534, + "loss": 2.5069, + "step": 2994 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006672219221768694, + "loss": 2.5424, + "step": 2995 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006670130832083845, + "loss": 2.3543, + "step": 2996 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006668042114394136, + "loss": 2.5298, + "step": 2997 + }, + { + "epoch": 0.41, + "learning_rate": 0.000666595306910978, + "loss": 2.4818, + "step": 2998 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006663863696641052, + "loss": 2.379, + "step": 2999 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006661773997398298, + "loss": 2.3236, + "step": 3000 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006659683971791922, + "loss": 2.4166, + "step": 3001 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006657593620232393, + "loss": 2.403, + "step": 3002 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006655502943130245, + "loss": 2.4258, + "step": 3003 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006653411940896077, + "loss": 2.3701, + "step": 3004 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006651320613940552, + "loss": 2.3635, + "step": 3005 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006649228962674393, + "loss": 2.3936, + "step": 3006 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006647136987508389, + "loss": 2.4549, + "step": 3007 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006645044688853395, + "loss": 2.2911, + "step": 3008 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006642952067120327, + "loss": 2.3534, + "step": 3009 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006640859122720163, + "loss": 2.4273, + "step": 3010 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006638765856063948, + "loss": 2.4381, + "step": 3011 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006636672267562788, + "loss": 2.5561, + "step": 3012 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006634578357627854, + "loss": 2.321, + "step": 3013 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006632484126670377, + "loss": 2.3776, + "step": 3014 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006630389575101651, + "loss": 2.3945, + "step": 3015 + }, + { + "epoch": 0.41, + "learning_rate": 0.000662829470333304, + "loss": 2.3208, + "step": 3016 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006626199511775962, + "loss": 2.3286, + "step": 3017 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006624104000841902, + "loss": 2.4152, + "step": 3018 + }, + { + "epoch": 0.41, + "learning_rate": 0.000662200817094241, + "loss": 2.6144, + "step": 3019 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006619912022489091, + "loss": 2.3458, + "step": 3020 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006617815555893621, + "loss": 2.4071, + "step": 3021 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006615718771567736, + "loss": 2.5471, + "step": 3022 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006613621669923228, + "loss": 2.503, + "step": 3023 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006611524251371963, + "loss": 2.3721, + "step": 3024 + }, + { + "epoch": 0.41, + "learning_rate": 0.000660942651632586, + "loss": 2.4212, + "step": 3025 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006607328465196901, + "loss": 2.5351, + "step": 3026 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006605230098397135, + "loss": 2.5044, + "step": 3027 + }, + { + "epoch": 0.41, + "learning_rate": 0.000660313141633867, + "loss": 2.3282, + "step": 3028 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006601032419433676, + "loss": 2.3679, + "step": 3029 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006598933108094382, + "loss": 2.4347, + "step": 3030 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006596833482733086, + "loss": 2.396, + "step": 3031 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006594733543762142, + "loss": 2.4088, + "step": 3032 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006592633291593965, + "loss": 2.2939, + "step": 3033 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006590532726641035, + "loss": 2.5035, + "step": 3034 + }, + { + "epoch": 0.42, + "learning_rate": 0.000658843184931589, + "loss": 2.4825, + "step": 3035 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006586330660031135, + "loss": 2.5233, + "step": 3036 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006584229159199427, + "loss": 2.3621, + "step": 3037 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006582127347233497, + "loss": 2.4291, + "step": 3038 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006580025224546122, + "loss": 2.459, + "step": 3039 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006577922791550151, + "loss": 2.4302, + "step": 3040 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006575820048658495, + "loss": 2.584, + "step": 3041 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006573716996284113, + "loss": 2.3658, + "step": 3042 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006571613634840041, + "loss": 2.3322, + "step": 3043 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006569509964739365, + "loss": 2.312, + "step": 3044 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006567405986395232, + "loss": 2.4391, + "step": 3045 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006565301700220858, + "loss": 2.5507, + "step": 3046 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006563197106629508, + "loss": 2.294, + "step": 3047 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006561092206034517, + "loss": 2.4185, + "step": 3048 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006558986998849275, + "loss": 2.382, + "step": 3049 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006556881485487233, + "loss": 2.4828, + "step": 3050 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006554775666361902, + "loss": 2.4762, + "step": 3051 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006552669541886858, + "loss": 2.4783, + "step": 3052 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006550563112475729, + "loss": 2.4182, + "step": 3053 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006548456378542204, + "loss": 2.4167, + "step": 3054 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006546349340500042, + "loss": 2.4616, + "step": 3055 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006544241998763047, + "loss": 2.3475, + "step": 3056 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006542134353745093, + "loss": 2.4558, + "step": 3057 + }, + { + "epoch": 0.42, + "learning_rate": 0.000654002640586011, + "loss": 2.467, + "step": 3058 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006537918155522088, + "loss": 2.356, + "step": 3059 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006535809603145076, + "loss": 2.4729, + "step": 3060 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006533700749143181, + "loss": 2.5895, + "step": 3061 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006531591593930574, + "loss": 2.4423, + "step": 3062 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006529482137921479, + "loss": 2.3111, + "step": 3063 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006527372381530183, + "loss": 2.3273, + "step": 3064 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006525262325171032, + "loss": 2.4305, + "step": 3065 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006523151969258429, + "loss": 2.3917, + "step": 3066 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006521041314206835, + "loss": 2.4991, + "step": 3067 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006518930360430774, + "loss": 2.4223, + "step": 3068 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006516819108344827, + "loss": 2.321, + "step": 3069 + }, + { + "epoch": 0.42, + "learning_rate": 0.000651470755836363, + "loss": 2.5479, + "step": 3070 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006512595710901882, + "loss": 2.3125, + "step": 3071 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006510483566374338, + "loss": 2.5453, + "step": 3072 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006508371125195812, + "loss": 2.3968, + "step": 3073 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006506258387781175, + "loss": 2.39, + "step": 3074 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006504145354545359, + "loss": 2.528, + "step": 3075 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006502032025903355, + "loss": 2.4427, + "step": 3076 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006499918402270204, + "loss": 2.4703, + "step": 3077 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006497804484061014, + "loss": 2.4258, + "step": 3078 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006495690271690948, + "loss": 2.4582, + "step": 3079 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006493575765575225, + "loss": 2.5534, + "step": 3080 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006491460966129121, + "loss": 2.4435, + "step": 3081 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006489345873767975, + "loss": 2.4804, + "step": 3082 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006487230488907177, + "loss": 2.3938, + "step": 3083 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006485114811962177, + "loss": 2.4937, + "step": 3084 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006482998843348487, + "loss": 2.3682, + "step": 3085 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006480882583481668, + "loss": 2.4574, + "step": 3086 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006478766032777343, + "loss": 2.4015, + "step": 3087 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006476649191651192, + "loss": 2.4467, + "step": 3088 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006474532060518951, + "loss": 2.3626, + "step": 3089 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006472414639796416, + "loss": 2.355, + "step": 3090 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006470296929899432, + "loss": 2.3091, + "step": 3091 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006468178931243911, + "loss": 2.3634, + "step": 3092 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006466060644245814, + "loss": 2.321, + "step": 3093 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006463942069321161, + "loss": 2.3431, + "step": 3094 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006461823206886031, + "loss": 2.3683, + "step": 3095 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006459704057356557, + "loss": 2.4896, + "step": 3096 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006457584621148925, + "loss": 2.4322, + "step": 3097 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006455464898679386, + "loss": 2.4786, + "step": 3098 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006453344890364241, + "loss": 2.3971, + "step": 3099 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006451224596619847, + "loss": 2.3119, + "step": 3100 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006449104017862619, + "loss": 2.2989, + "step": 3101 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006446983154509028, + "loss": 2.3305, + "step": 3102 + }, + { + "epoch": 0.42, + "learning_rate": 0.00064448620069756, + "loss": 2.5452, + "step": 3103 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006442740575678918, + "loss": 2.4929, + "step": 3104 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006440618861035618, + "loss": 2.5116, + "step": 3105 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006438496863462395, + "loss": 2.4951, + "step": 3106 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006436374583375997, + "loss": 2.3569, + "step": 3107 + }, + { + "epoch": 0.43, + "learning_rate": 0.000643425202119323, + "loss": 2.4417, + "step": 3108 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006432129177330955, + "loss": 2.4202, + "step": 3109 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006430006052206082, + "loss": 2.4754, + "step": 3110 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006427882646235587, + "loss": 2.5373, + "step": 3111 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006425758959836494, + "loss": 2.3623, + "step": 3112 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006423634993425883, + "loss": 2.2881, + "step": 3113 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006421510747420891, + "loss": 2.4565, + "step": 3114 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006419386222238706, + "loss": 2.4957, + "step": 3115 + }, + { + "epoch": 0.43, + "learning_rate": 0.000641726141829658, + "loss": 2.4813, + "step": 3116 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006415136336011804, + "loss": 2.5379, + "step": 3117 + }, + { + "epoch": 0.43, + "learning_rate": 0.000641301097580174, + "loss": 2.4344, + "step": 3118 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006410885338083796, + "loss": 2.3208, + "step": 3119 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006408759423275434, + "loss": 2.5249, + "step": 3120 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006406633231794173, + "loss": 2.5037, + "step": 3121 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006404506764057589, + "loss": 2.4752, + "step": 3122 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006402380020483305, + "loss": 2.3459, + "step": 3123 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006400253001489002, + "loss": 2.4284, + "step": 3124 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006398125707492419, + "loss": 2.296, + "step": 3125 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006395998138911342, + "loss": 2.5649, + "step": 3126 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006393870296163615, + "loss": 2.5236, + "step": 3127 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006391742179667137, + "loss": 2.3263, + "step": 3128 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006389613789839856, + "loss": 2.2864, + "step": 3129 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006387485127099781, + "loss": 2.2788, + "step": 3130 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006385356191864963, + "loss": 2.4138, + "step": 3131 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006383226984553518, + "loss": 2.4432, + "step": 3132 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006381097505583612, + "loss": 2.3551, + "step": 3133 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006378967755373459, + "loss": 2.3716, + "step": 3134 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006376837734341338, + "loss": 2.4802, + "step": 3135 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006374707442905567, + "loss": 2.295, + "step": 3136 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006372576881484526, + "loss": 2.4555, + "step": 3137 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006370446050496648, + "loss": 2.3826, + "step": 3138 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006368314950360416, + "loss": 2.3908, + "step": 3139 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006366183581494364, + "loss": 2.4262, + "step": 3140 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006364051944317084, + "loss": 2.2684, + "step": 3141 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006361920039247219, + "loss": 2.3118, + "step": 3142 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006359787866703462, + "loss": 2.2428, + "step": 3143 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006357655427104562, + "loss": 2.4999, + "step": 3144 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006355522720869318, + "loss": 2.5078, + "step": 3145 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006353389748416583, + "loss": 2.5049, + "step": 3146 + }, + { + "epoch": 0.43, + "learning_rate": 0.000635125651016526, + "loss": 2.2865, + "step": 3147 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006349123006534305, + "loss": 2.4711, + "step": 3148 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006346989237942731, + "loss": 2.5677, + "step": 3149 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006344855204809596, + "loss": 2.3015, + "step": 3150 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006342720907554012, + "loss": 2.4314, + "step": 3151 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006340586346595146, + "loss": 2.4456, + "step": 3152 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006338451522352212, + "loss": 2.3899, + "step": 3153 + }, + { + "epoch": 0.43, + "learning_rate": 0.000633631643524448, + "loss": 2.4231, + "step": 3154 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006334181085691271, + "loss": 2.4015, + "step": 3155 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006332045474111951, + "loss": 2.4646, + "step": 3156 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006329909600925949, + "loss": 2.388, + "step": 3157 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006327773466552737, + "loss": 2.4913, + "step": 3158 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006325637071411839, + "loss": 2.4078, + "step": 3159 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006323500415922834, + "loss": 2.3362, + "step": 3160 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006321363500505347, + "loss": 2.5312, + "step": 3161 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006319226325579058, + "loss": 2.3987, + "step": 3162 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006317088891563701, + "loss": 2.3788, + "step": 3163 + }, + { + "epoch": 0.43, + "learning_rate": 0.000631495119887905, + "loss": 2.2755, + "step": 3164 + }, + { + "epoch": 0.43, + "learning_rate": 0.000631281324794494, + "loss": 2.4512, + "step": 3165 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006310675039181253, + "loss": 2.3454, + "step": 3166 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006308536573007923, + "loss": 2.5006, + "step": 3167 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006306397849844931, + "loss": 2.3676, + "step": 3168 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006304258870112314, + "loss": 2.5191, + "step": 3169 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006302119634230152, + "loss": 2.3319, + "step": 3170 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006299980142618583, + "loss": 2.4516, + "step": 3171 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006297840395697792, + "loss": 2.5644, + "step": 3172 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006295700393888012, + "loss": 2.4082, + "step": 3173 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006293560137609528, + "loss": 2.5475, + "step": 3174 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006291419627282677, + "loss": 2.4987, + "step": 3175 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006289278863327844, + "loss": 2.4221, + "step": 3176 + }, + { + "epoch": 0.43, + "learning_rate": 0.000628713784616546, + "loss": 2.5011, + "step": 3177 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006284996576216013, + "loss": 2.4288, + "step": 3178 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006282855053900038, + "loss": 2.286, + "step": 3179 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006280713279638116, + "loss": 2.3549, + "step": 3180 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006278571253850878, + "loss": 2.281, + "step": 3181 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006276428976959013, + "loss": 2.2292, + "step": 3182 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006274286449383247, + "loss": 2.3855, + "step": 3183 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006272143671544365, + "loss": 2.4438, + "step": 3184 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006270000643863195, + "loss": 2.6213, + "step": 3185 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006267857366760617, + "loss": 2.444, + "step": 3186 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006265713840657559, + "loss": 2.4781, + "step": 3187 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006263570065974998, + "loss": 2.4108, + "step": 3188 + }, + { + "epoch": 0.44, + "learning_rate": 0.000626142604313396, + "loss": 2.5994, + "step": 3189 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006259281772555521, + "loss": 2.3402, + "step": 3190 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006257137254660803, + "loss": 2.5545, + "step": 3191 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006254992489870978, + "loss": 2.4053, + "step": 3192 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006252847478607269, + "loss": 2.3708, + "step": 3193 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006250702221290941, + "loss": 2.5484, + "step": 3194 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006248556718343313, + "loss": 2.4531, + "step": 3195 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006246410970185751, + "loss": 2.5369, + "step": 3196 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006244264977239668, + "loss": 2.3813, + "step": 3197 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006242118739926525, + "loss": 2.3335, + "step": 3198 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006239972258667834, + "loss": 2.3571, + "step": 3199 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006237825533885149, + "loss": 2.549, + "step": 3200 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006235678566000078, + "loss": 2.4349, + "step": 3201 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006233531355434274, + "loss": 2.3868, + "step": 3202 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006231383902609438, + "loss": 2.3341, + "step": 3203 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006229236207947315, + "loss": 2.3774, + "step": 3204 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006227088271869704, + "loss": 2.3596, + "step": 3205 + }, + { + "epoch": 0.44, + "learning_rate": 0.000622494009479845, + "loss": 2.5148, + "step": 3206 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006222791677155439, + "loss": 2.4398, + "step": 3207 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006220643019362612, + "loss": 2.3898, + "step": 3208 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006218494121841954, + "loss": 2.2962, + "step": 3209 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006216344985015495, + "loss": 2.3836, + "step": 3210 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006214195609305315, + "loss": 2.3235, + "step": 3211 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006212045995133543, + "loss": 2.3043, + "step": 3212 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006209896142922348, + "loss": 2.3837, + "step": 3213 + }, + { + "epoch": 0.44, + "learning_rate": 0.000620774605309395, + "loss": 2.4707, + "step": 3214 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006205595726070617, + "loss": 2.426, + "step": 3215 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006203445162274662, + "loss": 2.3912, + "step": 3216 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006201294362128442, + "loss": 2.393, + "step": 3217 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006199143326054365, + "loss": 2.4388, + "step": 3218 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006196992054474882, + "loss": 2.3663, + "step": 3219 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006194840547812491, + "loss": 2.5334, + "step": 3220 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006192688806489736, + "loss": 2.4475, + "step": 3221 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006190536830929213, + "loss": 2.4479, + "step": 3222 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006188384621553551, + "loss": 2.5346, + "step": 3223 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006186232178785436, + "loss": 2.4983, + "step": 3224 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006184079503047598, + "loss": 2.4004, + "step": 3225 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006181926594762808, + "loss": 2.3765, + "step": 3226 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006179773454353888, + "loss": 2.5023, + "step": 3227 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006177620082243701, + "loss": 2.3383, + "step": 3228 + }, + { + "epoch": 0.44, + "learning_rate": 0.000617546647885516, + "loss": 2.3818, + "step": 3229 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006173312644611223, + "loss": 2.3897, + "step": 3230 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006171158579934888, + "loss": 2.5206, + "step": 3231 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006169004285249203, + "loss": 2.3441, + "step": 3232 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006166849760977261, + "loss": 2.3803, + "step": 3233 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006164695007542198, + "loss": 2.2653, + "step": 3234 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006162540025367197, + "loss": 2.319, + "step": 3235 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006160384814875486, + "loss": 2.4632, + "step": 3236 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006158229376490334, + "loss": 2.3401, + "step": 3237 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006156073710635061, + "loss": 2.373, + "step": 3238 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006153917817733025, + "loss": 2.5397, + "step": 3239 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006151761698207636, + "loss": 2.4396, + "step": 3240 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006149605352482342, + "loss": 2.4432, + "step": 3241 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006147448780980637, + "loss": 2.4588, + "step": 3242 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006145291984126063, + "loss": 2.364, + "step": 3243 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006143134962342201, + "loss": 2.3101, + "step": 3244 + }, + { + "epoch": 0.44, + "learning_rate": 0.000614097771605268, + "loss": 2.3603, + "step": 3245 + }, + { + "epoch": 0.44, + "learning_rate": 0.000613882024568117, + "loss": 2.4843, + "step": 3246 + }, + { + "epoch": 0.44, + "learning_rate": 0.000613666255165139, + "loss": 2.3658, + "step": 3247 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006134504634387097, + "loss": 2.3256, + "step": 3248 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006132346494312096, + "loss": 2.341, + "step": 3249 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006130188131850234, + "loss": 2.3473, + "step": 3250 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006128029547425399, + "loss": 2.2921, + "step": 3251 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006125870741461531, + "loss": 2.5426, + "step": 3252 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006123711714382605, + "loss": 2.413, + "step": 3253 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006121552466612641, + "loss": 2.2718, + "step": 3254 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006119392998575707, + "loss": 2.4868, + "step": 3255 + }, + { + "epoch": 0.45, + "learning_rate": 0.000611723331069591, + "loss": 2.4174, + "step": 3256 + }, + { + "epoch": 0.45, + "learning_rate": 0.00061150734033974, + "loss": 2.3217, + "step": 3257 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006112913277104372, + "loss": 2.4673, + "step": 3258 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006110752932241063, + "loss": 2.3842, + "step": 3259 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006108592369231757, + "loss": 2.5107, + "step": 3260 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006106431588500773, + "loss": 2.4593, + "step": 3261 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006104270590472476, + "loss": 2.3932, + "step": 3262 + }, + { + "epoch": 0.45, + "learning_rate": 0.000610210937557128, + "loss": 2.5353, + "step": 3263 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006099947944221631, + "loss": 2.4696, + "step": 3264 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006097786296848024, + "loss": 2.3334, + "step": 3265 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006095624433874997, + "loss": 2.5708, + "step": 3266 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006093462355727127, + "loss": 2.5191, + "step": 3267 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006091300062829033, + "loss": 2.5495, + "step": 3268 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006089137555605381, + "loss": 2.2429, + "step": 3269 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006086974834480874, + "loss": 2.3733, + "step": 3270 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006084811899880261, + "loss": 2.3195, + "step": 3271 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006082648752228328, + "loss": 2.4581, + "step": 3272 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006080485391949908, + "loss": 2.5033, + "step": 3273 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006078321819469874, + "loss": 2.3852, + "step": 3274 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006076158035213137, + "loss": 2.4171, + "step": 3275 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006073994039604656, + "loss": 2.5382, + "step": 3276 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006071829833069427, + "loss": 2.4218, + "step": 3277 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006069665416032487, + "loss": 2.4509, + "step": 3278 + }, + { + "epoch": 0.45, + "learning_rate": 0.000606750078891892, + "loss": 2.3832, + "step": 3279 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006065335952153845, + "loss": 2.2851, + "step": 3280 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006063170906162424, + "loss": 2.4038, + "step": 3281 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006061005651369861, + "loss": 2.5137, + "step": 3282 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006058840188201402, + "loss": 2.4752, + "step": 3283 + }, + { + "epoch": 0.45, + "learning_rate": 0.000605667451708233, + "loss": 2.3911, + "step": 3284 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006054508638437974, + "loss": 2.3803, + "step": 3285 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006052342552693698, + "loss": 2.4156, + "step": 3286 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006050176260274914, + "loss": 2.3986, + "step": 3287 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006048009761607065, + "loss": 2.3419, + "step": 3288 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006045843057115644, + "loss": 2.3858, + "step": 3289 + }, + { + "epoch": 0.45, + "learning_rate": 0.000604367614722618, + "loss": 2.4624, + "step": 3290 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006041509032364242, + "loss": 2.3603, + "step": 3291 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006039341712955438, + "loss": 2.5012, + "step": 3292 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006037174189425421, + "loss": 2.6615, + "step": 3293 + }, + { + "epoch": 0.45, + "learning_rate": 0.000603500646219988, + "loss": 2.4278, + "step": 3294 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006032838531704545, + "loss": 2.2853, + "step": 3295 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006030670398365185, + "loss": 2.4373, + "step": 3296 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006028502062607611, + "loss": 2.4043, + "step": 3297 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006026333524857675, + "loss": 2.4273, + "step": 3298 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006024164785541262, + "loss": 2.3707, + "step": 3299 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006021995845084304, + "loss": 2.3247, + "step": 3300 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006019826703912767, + "loss": 2.3784, + "step": 3301 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006017657362452662, + "loss": 2.5208, + "step": 3302 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006015487821130033, + "loss": 2.4466, + "step": 3303 + }, + { + "epoch": 0.45, + "learning_rate": 0.000601331808037097, + "loss": 2.4166, + "step": 3304 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006011148140601594, + "loss": 2.4368, + "step": 3305 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006008978002248073, + "loss": 2.2785, + "step": 3306 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006006807665736611, + "loss": 2.6144, + "step": 3307 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006004637131493447, + "loss": 2.478, + "step": 3308 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006002466399944867, + "loss": 2.4174, + "step": 3309 + }, + { + "epoch": 0.45, + "learning_rate": 0.000600029547151719, + "loss": 2.4226, + "step": 3310 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005998124346636771, + "loss": 2.2481, + "step": 3311 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005995953025730013, + "loss": 2.5177, + "step": 3312 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005993781509223349, + "loss": 2.4865, + "step": 3313 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005991609797543253, + "loss": 2.3851, + "step": 3314 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005989437891116238, + "loss": 2.427, + "step": 3315 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005987265790368856, + "loss": 2.4222, + "step": 3316 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005985093495727696, + "loss": 2.4121, + "step": 3317 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005982921007619383, + "loss": 2.3908, + "step": 3318 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005980748326470585, + "loss": 2.5571, + "step": 3319 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005978575452708003, + "loss": 2.3928, + "step": 3320 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005976402386758381, + "loss": 2.5383, + "step": 3321 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005974229129048493, + "loss": 2.2488, + "step": 3322 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005972055680005159, + "loss": 2.4924, + "step": 3323 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005969882040055231, + "loss": 2.3331, + "step": 3324 + }, + { + "epoch": 0.45, + "learning_rate": 0.00059677082096256, + "loss": 2.3943, + "step": 3325 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005965534189143199, + "loss": 2.3151, + "step": 3326 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005963359979034989, + "loss": 2.3903, + "step": 3327 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005961185579727975, + "loss": 2.4216, + "step": 3328 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005959010991649199, + "loss": 2.4216, + "step": 3329 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005956836215225736, + "loss": 2.4696, + "step": 3330 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005954661250884703, + "loss": 2.3481, + "step": 3331 + }, + { + "epoch": 0.46, + "learning_rate": 0.000595248609905325, + "loss": 2.5459, + "step": 3332 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005950310760158566, + "loss": 2.527, + "step": 3333 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005948135234627877, + "loss": 2.5008, + "step": 3334 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005945959522888441, + "loss": 2.3467, + "step": 3335 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005943783625367562, + "loss": 2.3751, + "step": 3336 + }, + { + "epoch": 0.46, + "learning_rate": 0.000594160754249257, + "loss": 2.3016, + "step": 3337 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005939431274690837, + "loss": 2.2731, + "step": 3338 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005937254822389773, + "loss": 2.4546, + "step": 3339 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005935078186016819, + "loss": 2.3472, + "step": 3340 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005932901365999456, + "loss": 2.527, + "step": 3341 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005930724362765199, + "loss": 2.4133, + "step": 3342 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005928547176741601, + "loss": 2.3246, + "step": 3343 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005926369808356251, + "loss": 2.2487, + "step": 3344 + }, + { + "epoch": 0.46, + "learning_rate": 0.000592419225803677, + "loss": 2.4249, + "step": 3345 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005922014526210818, + "loss": 2.4729, + "step": 3346 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005919836613306092, + "loss": 2.5556, + "step": 3347 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005917658519750319, + "loss": 2.329, + "step": 3348 + }, + { + "epoch": 0.46, + "learning_rate": 0.000591548024597127, + "loss": 2.5209, + "step": 3349 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005913301792396743, + "loss": 2.4714, + "step": 3350 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005911123159454574, + "loss": 2.4257, + "step": 3351 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005908944347572635, + "loss": 2.232, + "step": 3352 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005906765357178838, + "loss": 2.4544, + "step": 3353 + }, + { + "epoch": 0.46, + "learning_rate": 0.000590458618870112, + "loss": 2.2764, + "step": 3354 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005902406842567459, + "loss": 2.4708, + "step": 3355 + }, + { + "epoch": 0.46, + "learning_rate": 0.000590022731920587, + "loss": 2.3903, + "step": 3356 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005898047619044396, + "loss": 2.3445, + "step": 3357 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005895867742511119, + "loss": 2.3793, + "step": 3358 + }, + { + "epoch": 0.46, + "learning_rate": 0.000589368769003416, + "loss": 2.3837, + "step": 3359 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005891507462041665, + "loss": 2.3867, + "step": 3360 + }, + { + "epoch": 0.46, + "learning_rate": 0.000588932705896182, + "loss": 2.358, + "step": 3361 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005887146481222844, + "loss": 2.4715, + "step": 3362 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005884965729252993, + "loss": 2.4019, + "step": 3363 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005882784803480556, + "loss": 2.4554, + "step": 3364 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005880603704333851, + "loss": 2.3177, + "step": 3365 + }, + { + "epoch": 0.46, + "learning_rate": 0.000587842243224124, + "loss": 2.5124, + "step": 3366 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005876240987631109, + "loss": 2.2949, + "step": 3367 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005874059370931881, + "loss": 2.3614, + "step": 3368 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005871877582572018, + "loss": 2.4729, + "step": 3369 + }, + { + "epoch": 0.46, + "learning_rate": 0.000586969562298001, + "loss": 2.5291, + "step": 3370 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005867513492584383, + "loss": 2.4246, + "step": 3371 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005865331191813695, + "loss": 2.4669, + "step": 3372 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005863148721096538, + "loss": 2.3016, + "step": 3373 + }, + { + "epoch": 0.46, + "learning_rate": 0.000586096608086154, + "loss": 2.4378, + "step": 3374 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005858783271537356, + "loss": 2.4586, + "step": 3375 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005856600293552681, + "loss": 2.5851, + "step": 3376 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005854417147336241, + "loss": 2.2856, + "step": 3377 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005852233833316792, + "loss": 2.4517, + "step": 3378 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005850050351923125, + "loss": 2.4461, + "step": 3379 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005847866703584068, + "loss": 2.3305, + "step": 3380 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005845682888728476, + "loss": 2.494, + "step": 3381 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005843498907785236, + "loss": 2.3443, + "step": 3382 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005841314761183275, + "loss": 2.3346, + "step": 3383 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005839130449351544, + "loss": 2.3946, + "step": 3384 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005836945972719032, + "loss": 2.5165, + "step": 3385 + }, + { + "epoch": 0.46, + "learning_rate": 0.000583476133171476, + "loss": 2.3428, + "step": 3386 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005832576526767776, + "loss": 2.4275, + "step": 3387 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005830391558307168, + "loss": 2.3325, + "step": 3388 + }, + { + "epoch": 0.46, + "learning_rate": 0.000582820642676205, + "loss": 2.2999, + "step": 3389 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005826021132561572, + "loss": 2.4017, + "step": 3390 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005823835676134913, + "loss": 2.3372, + "step": 3391 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005821650057911283, + "loss": 2.3611, + "step": 3392 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005819464278319931, + "loss": 2.4365, + "step": 3393 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005817278337790129, + "loss": 2.4753, + "step": 3394 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005815092236751184, + "loss": 2.3251, + "step": 3395 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005812905975632437, + "loss": 2.3411, + "step": 3396 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005810719554863258, + "loss": 2.5023, + "step": 3397 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005808532974873044, + "loss": 2.3165, + "step": 3398 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005806346236091231, + "loss": 2.5029, + "step": 3399 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005804159338947284, + "loss": 2.2802, + "step": 3400 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005801972283870697, + "loss": 2.2789, + "step": 3401 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005799785071290995, + "loss": 2.5949, + "step": 3402 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005797597701637737, + "loss": 2.3816, + "step": 3403 + }, + { + "epoch": 0.47, + "learning_rate": 0.000579541017534051, + "loss": 2.5827, + "step": 3404 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005793222492828931, + "loss": 2.396, + "step": 3405 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005791034654532651, + "loss": 2.4292, + "step": 3406 + }, + { + "epoch": 0.47, + "learning_rate": 0.000578884666088135, + "loss": 2.2852, + "step": 3407 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005786658512304737, + "loss": 2.2667, + "step": 3408 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005784470209232553, + "loss": 2.3495, + "step": 3409 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005782281752094573, + "loss": 2.1892, + "step": 3410 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005780093141320591, + "loss": 2.1708, + "step": 3411 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005777904377340444, + "loss": 2.248, + "step": 3412 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005775715460583995, + "loss": 2.3131, + "step": 3413 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005773526391481131, + "loss": 2.4395, + "step": 3414 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005771337170461776, + "loss": 2.545, + "step": 3415 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005769147797955881, + "loss": 2.3971, + "step": 3416 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005766958274393427, + "loss": 2.3703, + "step": 3417 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005764768600204425, + "loss": 2.3079, + "step": 3418 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005762578775818916, + "loss": 2.3364, + "step": 3419 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005760388801666971, + "loss": 2.4593, + "step": 3420 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005758198678178687, + "loss": 2.4431, + "step": 3421 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005756008405784192, + "loss": 2.2658, + "step": 3422 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005753817984913646, + "loss": 2.4444, + "step": 3423 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005751627415997237, + "loss": 2.2432, + "step": 3424 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005749436699465177, + "loss": 2.3698, + "step": 3425 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005747245835747715, + "loss": 2.3583, + "step": 3426 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005745054825275124, + "loss": 2.4498, + "step": 3427 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005742863668477708, + "loss": 2.526, + "step": 3428 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005740672365785795, + "loss": 2.3979, + "step": 3429 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005738480917629749, + "loss": 2.4508, + "step": 3430 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005736289324439957, + "loss": 2.2675, + "step": 3431 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005734097586646836, + "loss": 2.4181, + "step": 3432 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005731905704680834, + "loss": 2.4284, + "step": 3433 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005729713678972422, + "loss": 2.3703, + "step": 3434 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005727521509952104, + "loss": 2.4638, + "step": 3435 + }, + { + "epoch": 0.47, + "learning_rate": 0.000572532919805041, + "loss": 2.4921, + "step": 3436 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005723136743697899, + "loss": 2.5198, + "step": 3437 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005720944147325156, + "loss": 2.4013, + "step": 3438 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005718751409362797, + "loss": 2.4029, + "step": 3439 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005716558530241463, + "loss": 2.27, + "step": 3440 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005714365510391824, + "loss": 2.2904, + "step": 3441 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005712172350244579, + "loss": 2.4912, + "step": 3442 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005709979050230452, + "loss": 2.4064, + "step": 3443 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005707785610780194, + "loss": 2.3701, + "step": 3444 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005705592032324585, + "loss": 2.3511, + "step": 3445 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005703398315294436, + "loss": 2.2681, + "step": 3446 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005701204460120578, + "loss": 2.414, + "step": 3447 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005699010467233874, + "loss": 2.4942, + "step": 3448 + }, + { + "epoch": 0.47, + "learning_rate": 0.000569681633706521, + "loss": 2.4253, + "step": 3449 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005694622070045506, + "loss": 2.2999, + "step": 3450 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005692427666605703, + "loss": 2.3976, + "step": 3451 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005690233127176765, + "loss": 2.3066, + "step": 3452 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005688038452189696, + "loss": 2.2946, + "step": 3453 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005685843642075512, + "loss": 2.2552, + "step": 3454 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005683648697265267, + "loss": 2.5014, + "step": 3455 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005681453618190033, + "loss": 2.2994, + "step": 3456 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005679258405280914, + "loss": 2.505, + "step": 3457 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005677063058969038, + "loss": 2.3626, + "step": 3458 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005674867579685557, + "loss": 2.3846, + "step": 3459 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005672671967861656, + "loss": 2.512, + "step": 3460 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005670476223928538, + "loss": 2.5224, + "step": 3461 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005668280348317435, + "loss": 2.2755, + "step": 3462 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005666084341459607, + "loss": 2.4134, + "step": 3463 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005663888203786341, + "loss": 2.3449, + "step": 3464 + }, + { + "epoch": 0.47, + "learning_rate": 0.000566169193572894, + "loss": 2.3962, + "step": 3465 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005659495537718744, + "loss": 2.3056, + "step": 3466 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005657299010187116, + "loss": 2.5802, + "step": 3467 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005655102353565437, + "loss": 2.3755, + "step": 3468 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005652905568285121, + "loss": 2.4203, + "step": 3469 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005650708654777606, + "loss": 2.3058, + "step": 3470 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005648511613474353, + "loss": 2.3661, + "step": 3471 + }, + { + "epoch": 0.48, + "learning_rate": 0.000564631444480685, + "loss": 2.4246, + "step": 3472 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005644117149206609, + "loss": 2.4175, + "step": 3473 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005641919727105169, + "loss": 2.4092, + "step": 3474 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005639722178934088, + "loss": 2.4053, + "step": 3475 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005637524505124956, + "loss": 2.3516, + "step": 3476 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005635326706109385, + "loss": 2.4439, + "step": 3477 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005633128782319009, + "loss": 2.4788, + "step": 3478 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005630930734185488, + "loss": 2.5313, + "step": 3479 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005628732562140509, + "loss": 2.4073, + "step": 3480 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005626534266615782, + "loss": 2.2562, + "step": 3481 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005624335848043038, + "loss": 2.4665, + "step": 3482 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005622137306854038, + "loss": 2.4381, + "step": 3483 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005619938643480561, + "loss": 2.3363, + "step": 3484 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005617739858354415, + "loss": 2.2873, + "step": 3485 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005615540951907427, + "loss": 2.5493, + "step": 3486 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005613341924571452, + "loss": 2.2938, + "step": 3487 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005611142776778369, + "loss": 2.4652, + "step": 3488 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005608943508960077, + "loss": 2.3501, + "step": 3489 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005606744121548501, + "loss": 2.3615, + "step": 3490 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005604544614975591, + "loss": 2.4141, + "step": 3491 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005602344989673315, + "loss": 2.4685, + "step": 3492 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005600145246073669, + "loss": 2.5433, + "step": 3493 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005597945384608672, + "loss": 2.3943, + "step": 3494 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005595745405710365, + "loss": 2.259, + "step": 3495 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005593545309810811, + "loss": 2.5251, + "step": 3496 + }, + { + "epoch": 0.48, + "learning_rate": 0.00055913450973421, + "loss": 2.4031, + "step": 3497 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005589144768736338, + "loss": 2.2567, + "step": 3498 + }, + { + "epoch": 0.48, + "learning_rate": 0.000558694432442566, + "loss": 2.4264, + "step": 3499 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005584743764842223, + "loss": 2.4952, + "step": 3500 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005582543090418202, + "loss": 2.4197, + "step": 3501 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005580342301585801, + "loss": 2.3659, + "step": 3502 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005578141398777242, + "loss": 2.2304, + "step": 3503 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005575940382424771, + "loss": 2.505, + "step": 3504 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005573739252960656, + "loss": 2.3863, + "step": 3505 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005571538010817185, + "loss": 2.3438, + "step": 3506 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005569336656426674, + "loss": 2.3364, + "step": 3507 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005567135190221456, + "loss": 2.3147, + "step": 3508 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005564933612633884, + "loss": 2.2169, + "step": 3509 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005562731924096342, + "loss": 2.4772, + "step": 3510 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005560530125041224, + "loss": 2.3599, + "step": 3511 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005558328215900957, + "loss": 2.3322, + "step": 3512 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005556126197107981, + "loss": 2.421, + "step": 3513 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005553924069094761, + "loss": 2.5156, + "step": 3514 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005551721832293785, + "loss": 2.3111, + "step": 3515 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005549519487137561, + "loss": 2.451, + "step": 3516 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005547317034058615, + "loss": 2.2498, + "step": 3517 + }, + { + "epoch": 0.48, + "learning_rate": 0.00055451144734895, + "loss": 2.3833, + "step": 3518 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005542911805862785, + "loss": 2.4137, + "step": 3519 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005540709031611063, + "loss": 2.3022, + "step": 3520 + }, + { + "epoch": 0.48, + "learning_rate": 0.000553850615116695, + "loss": 2.3711, + "step": 3521 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005536303164963075, + "loss": 2.4015, + "step": 3522 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005534100073432095, + "loss": 2.4445, + "step": 3523 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005531896877006689, + "loss": 2.4099, + "step": 3524 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005529693576119549, + "loss": 2.4668, + "step": 3525 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005527490171203391, + "loss": 2.448, + "step": 3526 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005525286662690956, + "loss": 2.4775, + "step": 3527 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005523083051014998, + "loss": 2.4488, + "step": 3528 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005520879336608296, + "loss": 2.5124, + "step": 3529 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005518675519903647, + "loss": 2.4249, + "step": 3530 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005516471601333872, + "loss": 2.391, + "step": 3531 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005514267581331804, + "loss": 2.4868, + "step": 3532 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005512063460330305, + "loss": 2.3969, + "step": 3533 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005509859238762251, + "loss": 2.3641, + "step": 3534 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005507654917060541, + "loss": 2.4629, + "step": 3535 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005505450495658089, + "loss": 2.401, + "step": 3536 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005503245974987833, + "loss": 2.435, + "step": 3537 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005501041355482733, + "loss": 2.4668, + "step": 3538 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005498836637575757, + "loss": 2.4691, + "step": 3539 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005496631821699908, + "loss": 2.3563, + "step": 3540 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005494426908288194, + "loss": 2.2798, + "step": 3541 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005492221897773651, + "loss": 2.4344, + "step": 3542 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005490016790589331, + "loss": 2.5306, + "step": 3543 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005487811587168306, + "loss": 2.4459, + "step": 3544 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005485606287943667, + "loss": 2.3864, + "step": 3545 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005483400893348521, + "loss": 2.3815, + "step": 3546 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005481195403815996, + "loss": 2.3794, + "step": 3547 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005478989819779241, + "loss": 2.3128, + "step": 3548 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005476784141671417, + "loss": 2.4399, + "step": 3549 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005474578369925712, + "loss": 2.4208, + "step": 3550 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005472372504975324, + "loss": 2.3959, + "step": 3551 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005470166547253476, + "loss": 2.256, + "step": 3552 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005467960497193404, + "loss": 2.3918, + "step": 3553 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005465754355228368, + "loss": 2.4578, + "step": 3554 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005463548121791639, + "loss": 2.2964, + "step": 3555 + }, + { + "epoch": 0.49, + "learning_rate": 0.000546134179731651, + "loss": 2.3754, + "step": 3556 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005459135382236295, + "loss": 2.317, + "step": 3557 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005456928876984318, + "loss": 2.2822, + "step": 3558 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005454722281993927, + "loss": 2.3404, + "step": 3559 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005452515597698485, + "loss": 2.4532, + "step": 3560 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005450308824531375, + "loss": 2.4678, + "step": 3561 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005448101962925992, + "loss": 2.4702, + "step": 3562 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005445895013315755, + "loss": 2.5813, + "step": 3563 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005443687976134096, + "loss": 2.4313, + "step": 3564 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005441480851814467, + "loss": 2.3438, + "step": 3565 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005439273640790332, + "loss": 2.421, + "step": 3566 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005437066343495178, + "loss": 2.3666, + "step": 3567 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005434858960362507, + "loss": 2.343, + "step": 3568 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005432651491825836, + "loss": 2.3906, + "step": 3569 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005430443938318702, + "loss": 2.3349, + "step": 3570 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005428236300274655, + "loss": 2.295, + "step": 3571 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005426028578127264, + "loss": 2.4497, + "step": 3572 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005423820772310114, + "loss": 2.1663, + "step": 3573 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005421612883256806, + "loss": 2.472, + "step": 3574 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005419404911400958, + "loss": 2.2751, + "step": 3575 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005417196857176205, + "loss": 2.4429, + "step": 3576 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005414988721016194, + "loss": 2.338, + "step": 3577 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005412780503354596, + "loss": 2.3766, + "step": 3578 + }, + { + "epoch": 0.49, + "learning_rate": 0.000541057220462509, + "loss": 2.6069, + "step": 3579 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005408363825261373, + "loss": 2.5065, + "step": 3580 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005406155365697164, + "loss": 2.3639, + "step": 3581 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005403946826366188, + "loss": 2.3624, + "step": 3582 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005401738207702193, + "loss": 2.4594, + "step": 3583 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005399529510138938, + "loss": 2.4775, + "step": 3584 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005397320734110201, + "loss": 2.4732, + "step": 3585 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005395111880049775, + "loss": 2.3776, + "step": 3586 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005392902948391465, + "loss": 2.3002, + "step": 3587 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005390693939569095, + "loss": 2.2821, + "step": 3588 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005388484854016501, + "loss": 2.3424, + "step": 3589 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005386275692167537, + "loss": 2.3376, + "step": 3590 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005384066454456072, + "loss": 2.4174, + "step": 3591 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005381857141315984, + "loss": 2.354, + "step": 3592 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005379647753181176, + "loss": 2.3703, + "step": 3593 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005377438290485557, + "loss": 2.3954, + "step": 3594 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005375228753663056, + "loss": 2.5458, + "step": 3595 + }, + { + "epoch": 0.49, + "learning_rate": 0.000537301914314761, + "loss": 2.4473, + "step": 3596 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005370809459373178, + "loss": 2.4176, + "step": 3597 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005368599702773731, + "loss": 2.3891, + "step": 3598 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005366389873783251, + "loss": 2.3566, + "step": 3599 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005364179972835739, + "loss": 2.299, + "step": 3600 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005361970000365207, + "loss": 2.3774, + "step": 3601 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005359759956805682, + "loss": 2.5013, + "step": 3602 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005357549842591204, + "loss": 2.309, + "step": 3603 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005355339658155828, + "loss": 2.2165, + "step": 3604 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005353129403933624, + "loss": 2.4035, + "step": 3605 + }, + { + "epoch": 0.49, + "learning_rate": 0.000535091908035867, + "loss": 2.3716, + "step": 3606 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005348708687865069, + "loss": 2.3753, + "step": 3607 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005346498226886926, + "loss": 2.4365, + "step": 3608 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005344287697858362, + "loss": 2.3612, + "step": 3609 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005342077101213516, + "loss": 2.3319, + "step": 3610 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005339866437386538, + "loss": 2.4353, + "step": 3611 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005337655706811589, + "loss": 2.3548, + "step": 3612 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005335444909922845, + "loss": 2.2278, + "step": 3613 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005333234047154495, + "loss": 2.2051, + "step": 3614 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005331023118940742, + "loss": 2.3562, + "step": 3615 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005328812125715798, + "loss": 2.4039, + "step": 3616 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005326601067913893, + "loss": 2.3171, + "step": 3617 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005324389945969267, + "loss": 2.3181, + "step": 3618 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005322178760316171, + "loss": 2.4562, + "step": 3619 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005319967511388871, + "loss": 2.4045, + "step": 3620 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005317756199621642, + "loss": 2.3003, + "step": 3621 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005315544825448779, + "loss": 2.3973, + "step": 3622 + }, + { + "epoch": 0.5, + "learning_rate": 0.000531333338930458, + "loss": 2.2305, + "step": 3623 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005311121891623363, + "loss": 2.2942, + "step": 3624 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005308910332839451, + "loss": 2.4199, + "step": 3625 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005306698713387183, + "loss": 2.3935, + "step": 3626 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005304487033700911, + "loss": 2.3678, + "step": 3627 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005302275294214997, + "loss": 2.3569, + "step": 3628 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005300063495363811, + "loss": 2.4183, + "step": 3629 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005297851637581746, + "loss": 2.3865, + "step": 3630 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005295639721303192, + "loss": 2.4725, + "step": 3631 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005293427746962564, + "loss": 2.5017, + "step": 3632 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005291215714994276, + "loss": 2.4372, + "step": 3633 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005289003625832762, + "loss": 2.4242, + "step": 3634 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005286791479912468, + "loss": 2.3511, + "step": 3635 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005284579277667839, + "loss": 2.3119, + "step": 3636 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005282367019533349, + "loss": 2.3995, + "step": 3637 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005280154705943471, + "loss": 2.3775, + "step": 3638 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005277942337332689, + "loss": 2.3577, + "step": 3639 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005275729914135502, + "loss": 2.3159, + "step": 3640 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005273517436786419, + "loss": 2.3322, + "step": 3641 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005271304905719958, + "loss": 2.5064, + "step": 3642 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005269092321370649, + "loss": 2.4301, + "step": 3643 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005266879684173031, + "loss": 2.4808, + "step": 3644 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005264666994561657, + "loss": 2.4011, + "step": 3645 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005262454252971082, + "loss": 2.3824, + "step": 3646 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005260241459835883, + "loss": 2.597, + "step": 3647 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005258028615590638, + "loss": 2.4929, + "step": 3648 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005255815720669935, + "loss": 2.3084, + "step": 3649 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005253602775508379, + "loss": 2.303, + "step": 3650 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005251389780540582, + "loss": 2.3034, + "step": 3651 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005249176736201159, + "loss": 2.2809, + "step": 3652 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005246963642924744, + "loss": 2.2648, + "step": 3653 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005244750501145976, + "loss": 2.2226, + "step": 3654 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005242537311299504, + "loss": 2.2982, + "step": 3655 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005240324073819988, + "loss": 2.2903, + "step": 3656 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005238110789142096, + "loss": 2.3196, + "step": 3657 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005235897457700503, + "loss": 2.4768, + "step": 3658 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005233684079929897, + "loss": 2.4935, + "step": 3659 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005231470656264975, + "loss": 2.4318, + "step": 3660 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005229257187140439, + "loss": 2.1882, + "step": 3661 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005227043672991007, + "loss": 2.3, + "step": 3662 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005224830114251394, + "loss": 2.3271, + "step": 3663 + }, + { + "epoch": 0.5, + "learning_rate": 0.000522261651135634, + "loss": 2.366, + "step": 3664 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005220402864740581, + "loss": 2.3426, + "step": 3665 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005218189174838862, + "loss": 2.3357, + "step": 3666 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005215975442085946, + "loss": 2.3017, + "step": 3667 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005213761666916595, + "loss": 2.4788, + "step": 3668 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005211547849765585, + "loss": 2.3601, + "step": 3669 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005209333991067693, + "loss": 2.3569, + "step": 3670 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005207120091257714, + "loss": 2.3226, + "step": 3671 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005204906150770446, + "loss": 2.3545, + "step": 3672 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005202692170040693, + "loss": 2.2367, + "step": 3673 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005200478149503269, + "loss": 2.3502, + "step": 3674 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005198264089592999, + "loss": 2.3854, + "step": 3675 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005196049990744711, + "loss": 2.3956, + "step": 3676 + }, + { + "epoch": 0.5, + "learning_rate": 0.000519383585339324, + "loss": 2.5238, + "step": 3677 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005191621677973433, + "loss": 2.4608, + "step": 3678 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005189407464920143, + "loss": 2.4903, + "step": 3679 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005187193214668227, + "loss": 2.2811, + "step": 3680 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005184978927652556, + "loss": 2.3646, + "step": 3681 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005182764604308002, + "loss": 2.331, + "step": 3682 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005180550245069446, + "loss": 2.3942, + "step": 3683 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005178335850371777, + "loss": 2.3303, + "step": 3684 + }, + { + "epoch": 0.5, + "learning_rate": 0.000517612142064989, + "loss": 2.244, + "step": 3685 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005173906956338687, + "loss": 2.2348, + "step": 3686 + }, + { + "epoch": 0.5, + "learning_rate": 0.000517169245787308, + "loss": 2.2986, + "step": 3687 + }, + { + "epoch": 0.5, + "learning_rate": 0.000516947792568798, + "loss": 2.3088, + "step": 3688 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005167263360218315, + "loss": 2.2893, + "step": 3689 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005165048761899007, + "loss": 2.4499, + "step": 3690 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005162834131164999, + "loss": 2.2221, + "step": 3691 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005160619468451228, + "loss": 2.4721, + "step": 3692 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005158404774192641, + "loss": 2.3042, + "step": 3693 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005156190048824196, + "loss": 2.3306, + "step": 3694 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005153975292780852, + "loss": 2.2501, + "step": 3695 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005151760506497575, + "loss": 2.3449, + "step": 3696 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005149545690409336, + "loss": 2.5639, + "step": 3697 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005147330844951117, + "loss": 2.4453, + "step": 3698 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005145115970557897, + "loss": 2.4085, + "step": 3699 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005142901067664668, + "loss": 2.378, + "step": 3700 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005140686136706426, + "loss": 2.4704, + "step": 3701 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005138471178118173, + "loss": 2.4414, + "step": 3702 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005136256192334911, + "loss": 2.3988, + "step": 3703 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005134041179791654, + "loss": 2.3298, + "step": 3704 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005131826140923418, + "loss": 2.3881, + "step": 3705 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005129611076165225, + "loss": 2.2765, + "step": 3706 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005127395985952102, + "loss": 2.1949, + "step": 3707 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005125180870719083, + "loss": 2.2631, + "step": 3708 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005122965730901203, + "loss": 2.3465, + "step": 3709 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005120750566933502, + "loss": 2.4954, + "step": 3710 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005118535379251031, + "loss": 2.4262, + "step": 3711 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005116320168288836, + "loss": 2.3543, + "step": 3712 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005114104934481977, + "loss": 2.3933, + "step": 3713 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005111889678265512, + "loss": 2.3197, + "step": 3714 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005109674400074506, + "loss": 2.3724, + "step": 3715 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005107459100344027, + "loss": 2.2741, + "step": 3716 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005105243779509152, + "loss": 2.3689, + "step": 3717 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005103028438004953, + "loss": 2.5064, + "step": 3718 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005100813076266515, + "loss": 2.3574, + "step": 3719 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005098597694728921, + "loss": 2.233, + "step": 3720 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005096382293827262, + "loss": 2.347, + "step": 3721 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005094166873996632, + "loss": 2.3947, + "step": 3722 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005091951435672122, + "loss": 2.4514, + "step": 3723 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005089735979288839, + "loss": 2.3646, + "step": 3724 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005087520505281886, + "loss": 2.5114, + "step": 3725 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005085305014086367, + "loss": 2.3436, + "step": 3726 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005083089506137394, + "loss": 2.1356, + "step": 3727 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005080873981870082, + "loss": 2.358, + "step": 3728 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005078658441719548, + "loss": 2.5071, + "step": 3729 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005076442886120912, + "loss": 2.4767, + "step": 3730 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005074227315509296, + "loss": 2.5212, + "step": 3731 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005072011730319831, + "loss": 2.2885, + "step": 3732 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005069796130987642, + "loss": 2.4311, + "step": 3733 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005067580517947861, + "loss": 2.4518, + "step": 3734 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005065364891635624, + "loss": 2.344, + "step": 3735 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005063149252486069, + "loss": 2.4378, + "step": 3736 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005060933600934335, + "loss": 2.4708, + "step": 3737 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005058717937415564, + "loss": 2.3436, + "step": 3738 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005056502262364899, + "loss": 2.2873, + "step": 3739 + }, + { + "epoch": 0.51, + "learning_rate": 0.000505428657621749, + "loss": 2.3239, + "step": 3740 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005052070879408484, + "loss": 2.3208, + "step": 3741 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005049855172373033, + "loss": 2.4472, + "step": 3742 + }, + { + "epoch": 0.51, + "learning_rate": 0.000504763945554629, + "loss": 2.3647, + "step": 3743 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005045423729363411, + "loss": 2.3777, + "step": 3744 + }, + { + "epoch": 0.51, + "learning_rate": 0.000504320799425955, + "loss": 2.2973, + "step": 3745 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005040992250669868, + "loss": 2.4352, + "step": 3746 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005038776499029524, + "loss": 2.3386, + "step": 3747 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005036560739773684, + "loss": 2.4407, + "step": 3748 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005034344973337505, + "loss": 2.4591, + "step": 3749 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005032129200156156, + "loss": 2.3922, + "step": 3750 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005029913420664802, + "loss": 2.1664, + "step": 3751 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005027697635298611, + "loss": 2.2964, + "step": 3752 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005025481844492749, + "loss": 2.312, + "step": 3753 + }, + { + "epoch": 0.51, + "learning_rate": 0.000502326604868239, + "loss": 2.3266, + "step": 3754 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005021050248302701, + "loss": 2.3764, + "step": 3755 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005018834443788854, + "loss": 2.5255, + "step": 3756 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005016618635576022, + "loss": 2.4938, + "step": 3757 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005014402824099379, + "loss": 2.4362, + "step": 3758 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005012187009794097, + "loss": 2.3214, + "step": 3759 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005009971193095351, + "loss": 2.4779, + "step": 3760 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005007755374438314, + "loss": 2.3347, + "step": 3761 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005005539554258164, + "loss": 2.3724, + "step": 3762 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005003323732990074, + "loss": 2.3536, + "step": 3763 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005001107911069221, + "loss": 2.283, + "step": 3764 + }, + { + "epoch": 0.52, + "learning_rate": 0.000499889208893078, + "loss": 2.2698, + "step": 3765 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004996676267009926, + "loss": 2.4311, + "step": 3766 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004994460445741837, + "loss": 2.346, + "step": 3767 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004992244625561688, + "loss": 2.47, + "step": 3768 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004990028806904651, + "loss": 2.267, + "step": 3769 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004987812990205904, + "loss": 2.4611, + "step": 3770 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004985597175900621, + "loss": 2.3523, + "step": 3771 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004983381364423978, + "loss": 2.612, + "step": 3772 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004981165556211146, + "loss": 2.1966, + "step": 3773 + }, + { + "epoch": 0.52, + "learning_rate": 0.00049789497516973, + "loss": 2.4951, + "step": 3774 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004976733951317612, + "loss": 2.285, + "step": 3775 + }, + { + "epoch": 0.52, + "learning_rate": 0.000497451815550725, + "loss": 2.4168, + "step": 3776 + }, + { + "epoch": 0.52, + "learning_rate": 0.000497230236470139, + "loss": 2.4883, + "step": 3777 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004970086579335198, + "loss": 2.3249, + "step": 3778 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004967870799843845, + "loss": 2.3457, + "step": 3779 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004965655026662496, + "loss": 2.3085, + "step": 3780 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004963439260226316, + "loss": 2.3299, + "step": 3781 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004961223500970475, + "loss": 2.5008, + "step": 3782 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004959007749330132, + "loss": 2.3301, + "step": 3783 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004956792005740451, + "loss": 2.5218, + "step": 3784 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004954576270636592, + "loss": 2.3062, + "step": 3785 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004952360544453711, + "loss": 2.3254, + "step": 3786 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004950144827626966, + "loss": 2.2711, + "step": 3787 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004947929120591516, + "loss": 2.2954, + "step": 3788 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004945713423782511, + "loss": 2.4197, + "step": 3789 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004943497737635102, + "loss": 2.4331, + "step": 3790 + }, + { + "epoch": 0.52, + "learning_rate": 0.000494128206258444, + "loss": 2.3368, + "step": 3791 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004939066399065665, + "loss": 2.2916, + "step": 3792 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004936850747513932, + "loss": 2.5323, + "step": 3793 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004934635108364376, + "loss": 2.3366, + "step": 3794 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004932419482052141, + "loss": 2.4876, + "step": 3795 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004930203869012359, + "loss": 2.1681, + "step": 3796 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004927988269680171, + "loss": 2.3963, + "step": 3797 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004925772684490703, + "loss": 2.3089, + "step": 3798 + }, + { + "epoch": 0.52, + "learning_rate": 0.000492355711387909, + "loss": 2.3469, + "step": 3799 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004921341558280453, + "loss": 2.4953, + "step": 3800 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004919126018129919, + "loss": 2.3563, + "step": 3801 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004916910493862608, + "loss": 2.3339, + "step": 3802 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004914694985913634, + "loss": 2.3272, + "step": 3803 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004912479494718115, + "loss": 2.5224, + "step": 3804 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004910264020711161, + "loss": 2.31, + "step": 3805 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004908048564327878, + "loss": 2.3608, + "step": 3806 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004905833126003371, + "loss": 2.4953, + "step": 3807 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004903617706172737, + "loss": 2.3575, + "step": 3808 + }, + { + "epoch": 0.52, + "learning_rate": 0.000490140230527108, + "loss": 2.2476, + "step": 3809 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004899186923733485, + "loss": 2.335, + "step": 3810 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004896971561995048, + "loss": 2.328, + "step": 3811 + }, + { + "epoch": 0.52, + "learning_rate": 0.000489475622049085, + "loss": 2.4414, + "step": 3812 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004892540899655973, + "loss": 2.3647, + "step": 3813 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004890325599925493, + "loss": 2.3907, + "step": 3814 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004888110321734488, + "loss": 2.4125, + "step": 3815 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004885895065518025, + "loss": 2.4441, + "step": 3816 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004883679831711164, + "loss": 2.2726, + "step": 3817 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004881464620748972, + "loss": 2.4356, + "step": 3818 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004879249433066498, + "loss": 2.2783, + "step": 3819 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048770342690987987, + "loss": 2.3583, + "step": 3820 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048748191292809174, + "loss": 2.3877, + "step": 3821 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004872604014047898, + "loss": 2.3279, + "step": 3822 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004870388923834776, + "loss": 2.475, + "step": 3823 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048681738590765843, + "loss": 2.3675, + "step": 3824 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004865958820208347, + "loss": 2.3689, + "step": 3825 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048637438076650906, + "loss": 2.3171, + "step": 3826 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048615288218818286, + "loss": 2.4118, + "step": 3827 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048593138632935744, + "loss": 2.2849, + "step": 3828 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048570989323353333, + "loss": 2.3107, + "step": 3829 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004854884029442104, + "loss": 2.3855, + "step": 3830 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048526691550488846, + "loss": 2.3611, + "step": 3831 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004850454309590664, + "loss": 2.2903, + "step": 3832 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004848239493502426, + "loss": 2.4629, + "step": 3833 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048460247072191494, + "loss": 2.4817, + "step": 3834 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048438099511758054, + "loss": 2.336, + "step": 3835 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048415952258073586, + "loss": 2.422, + "step": 3836 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048393805315487726, + "loss": 2.3776, + "step": 3837 + }, + { + "epoch": 0.53, + "learning_rate": 0.00048371658688350016, + "loss": 2.4556, + "step": 3838 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004834951238100993, + "loss": 2.4141, + "step": 3839 + }, + { + "epoch": 0.53, + "learning_rate": 0.00048327366397816866, + "loss": 2.4975, + "step": 3840 + }, + { + "epoch": 0.53, + "learning_rate": 0.00048305220743120186, + "loss": 2.3333, + "step": 3841 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004828307542126921, + "loss": 2.498, + "step": 3842 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004826093043661313, + "loss": 2.4384, + "step": 3843 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004823878579350111, + "loss": 2.4482, + "step": 3844 + }, + { + "epoch": 0.53, + "learning_rate": 0.00048216641496282253, + "loss": 2.3704, + "step": 3845 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004819449754930554, + "loss": 2.2852, + "step": 3846 + }, + { + "epoch": 0.53, + "learning_rate": 0.00048172353956919985, + "loss": 2.4442, + "step": 3847 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004815021072347445, + "loss": 2.2814, + "step": 3848 + }, + { + "epoch": 0.53, + "learning_rate": 0.00048128067853317734, + "loss": 2.3541, + "step": 3849 + }, + { + "epoch": 0.53, + "learning_rate": 0.00048105925350798586, + "loss": 2.3971, + "step": 3850 + }, + { + "epoch": 0.53, + "learning_rate": 0.00048083783220265685, + "loss": 2.2382, + "step": 3851 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004806164146606761, + "loss": 2.4521, + "step": 3852 + }, + { + "epoch": 0.53, + "learning_rate": 0.00048039500092552913, + "loss": 2.3895, + "step": 3853 + }, + { + "epoch": 0.53, + "learning_rate": 0.00048017359104070013, + "loss": 2.2354, + "step": 3854 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047995218504967314, + "loss": 2.3212, + "step": 3855 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047973078299593094, + "loss": 2.2573, + "step": 3856 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047950938492295547, + "loss": 2.3789, + "step": 3857 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047928799087422854, + "loss": 2.4161, + "step": 3858 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047906660089323073, + "loss": 2.4774, + "step": 3859 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004788452150234417, + "loss": 2.366, + "step": 3860 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004786238333083406, + "loss": 2.3615, + "step": 3861 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047840245579140555, + "loss": 2.2719, + "step": 3862 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047818108251611373, + "loss": 2.352, + "step": 3863 + }, + { + "epoch": 0.53, + "learning_rate": 0.000477959713525942, + "loss": 2.2403, + "step": 3864 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047773834886436606, + "loss": 2.3236, + "step": 3865 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004775169885748606, + "loss": 2.425, + "step": 3866 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047729563270089957, + "loss": 2.382, + "step": 3867 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047707428128595603, + "loss": 2.5461, + "step": 3868 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004768529343735026, + "loss": 2.1938, + "step": 3869 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047663159200701045, + "loss": 2.5016, + "step": 3870 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004764102542299499, + "loss": 2.4423, + "step": 3871 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047618892108579065, + "loss": 2.2878, + "step": 3872 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004759675926180012, + "loss": 2.4629, + "step": 3873 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004757462688700495, + "loss": 2.4491, + "step": 3874 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004755249498854024, + "loss": 2.4698, + "step": 3875 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047530363570752574, + "loss": 2.4711, + "step": 3876 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004750823263798842, + "loss": 2.4066, + "step": 3877 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047486102194594206, + "loss": 2.3069, + "step": 3878 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047463972244916197, + "loss": 2.3587, + "step": 3879 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047441842793300646, + "loss": 2.3931, + "step": 3880 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004741971384409364, + "loss": 2.3524, + "step": 3881 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004739758540164118, + "loss": 2.2458, + "step": 3882 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004737545747028918, + "loss": 2.3041, + "step": 3883 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047353330054383433, + "loss": 2.3238, + "step": 3884 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047331203158269684, + "loss": 2.3127, + "step": 3885 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047309076786293514, + "loss": 2.3856, + "step": 3886 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047286950942800423, + "loss": 2.296, + "step": 3887 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047264825632135823, + "loss": 2.3139, + "step": 3888 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047242700858645, + "loss": 2.3719, + "step": 3889 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047220576626673123, + "loss": 2.3222, + "step": 3890 + }, + { + "epoch": 0.53, + "learning_rate": 0.000471984529405653, + "loss": 2.4478, + "step": 3891 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047176329804666514, + "loss": 2.4862, + "step": 3892 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004715420722332161, + "loss": 2.3958, + "step": 3893 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047132085200875354, + "loss": 2.3543, + "step": 3894 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004710996374167237, + "loss": 2.3336, + "step": 3895 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047087842850057247, + "loss": 2.4304, + "step": 3896 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047065722530374374, + "loss": 2.3442, + "step": 3897 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047043602786968076, + "loss": 2.4177, + "step": 3898 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004702148362418256, + "loss": 2.3796, + "step": 3899 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004699936504636189, + "loss": 2.2916, + "step": 3900 + }, + { + "epoch": 0.53, + "learning_rate": 0.00046977247057850035, + "loss": 2.3661, + "step": 3901 + }, + { + "epoch": 0.53, + "learning_rate": 0.00046955129662990897, + "loss": 2.4747, + "step": 3902 + }, + { + "epoch": 0.53, + "learning_rate": 0.00046933012866128183, + "loss": 2.308, + "step": 3903 + }, + { + "epoch": 0.53, + "learning_rate": 0.00046910896671605506, + "loss": 2.2699, + "step": 3904 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004688878108376639, + "loss": 2.1987, + "step": 3905 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004686666610695419, + "loss": 2.3597, + "step": 3906 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004684455174551222, + "loss": 2.4019, + "step": 3907 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004682243800378357, + "loss": 2.2811, + "step": 3908 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004680032488611131, + "loss": 2.4214, + "step": 3909 + }, + { + "epoch": 0.53, + "learning_rate": 0.00046778212396838306, + "loss": 2.3952, + "step": 3910 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046756100540307324, + "loss": 2.3043, + "step": 3911 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004673398932086106, + "loss": 2.277, + "step": 3912 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004671187874284202, + "loss": 2.5082, + "step": 3913 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004668976881059259, + "loss": 2.3262, + "step": 3914 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046667659528455056, + "loss": 2.3049, + "step": 3915 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004664555090077157, + "loss": 2.2418, + "step": 3916 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004662344293188412, + "loss": 2.3437, + "step": 3917 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046601335626134626, + "loss": 2.5121, + "step": 3918 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046579228987864846, + "loss": 2.4746, + "step": 3919 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004655712302141639, + "loss": 2.3752, + "step": 3920 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004653501773113076, + "loss": 2.3526, + "step": 3921 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004651291312134931, + "loss": 2.3111, + "step": 3922 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004649080919641329, + "loss": 2.3006, + "step": 3923 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004646870596066377, + "loss": 2.253, + "step": 3924 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004644660341844173, + "loss": 2.2917, + "step": 3925 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004642450157408798, + "loss": 2.3214, + "step": 3926 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046402400431943197, + "loss": 2.329, + "step": 3927 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046380299996347924, + "loss": 2.4695, + "step": 3928 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004635820027164261, + "loss": 2.3257, + "step": 3929 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046336101262167494, + "loss": 2.444, + "step": 3930 + }, + { + "epoch": 0.54, + "learning_rate": 0.000463140029722627, + "loss": 2.342, + "step": 3931 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004629190540626823, + "loss": 2.4103, + "step": 3932 + }, + { + "epoch": 0.54, + "learning_rate": 0.000462698085685239, + "loss": 2.3272, + "step": 3933 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004624771246336945, + "loss": 2.2587, + "step": 3934 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004622561709514443, + "loss": 2.3778, + "step": 3935 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046203522468188255, + "loss": 2.3976, + "step": 3936 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046181428586840155, + "loss": 2.3199, + "step": 3937 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046159335455439306, + "loss": 2.4127, + "step": 3938 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004613724307832463, + "loss": 2.3977, + "step": 3939 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046115151459834997, + "loss": 2.3184, + "step": 3940 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004609306060430906, + "loss": 2.4266, + "step": 3941 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046070970516085366, + "loss": 2.4095, + "step": 3942 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046048881199502265, + "loss": 2.3797, + "step": 3943 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046026792658897985, + "loss": 2.2443, + "step": 3944 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046004704898610624, + "loss": 2.3574, + "step": 3945 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045982617922978085, + "loss": 2.2747, + "step": 3946 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004596053173633813, + "loss": 2.3195, + "step": 3947 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004593844634302838, + "loss": 2.3227, + "step": 3948 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004591636174738626, + "loss": 2.4316, + "step": 3949 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045894277953749114, + "loss": 2.3722, + "step": 3950 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004587219496645405, + "loss": 2.4239, + "step": 3951 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004585011278983807, + "loss": 2.1294, + "step": 3952 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004582803142823798, + "loss": 2.3409, + "step": 3953 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004580595088599044, + "loss": 2.5421, + "step": 3954 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045783871167431943, + "loss": 2.2971, + "step": 3955 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004576179227689887, + "loss": 2.3765, + "step": 3956 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004573971421872737, + "loss": 2.2948, + "step": 3957 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004571763699725346, + "loss": 2.4136, + "step": 3958 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045695560616813, + "loss": 2.3982, + "step": 3959 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045673485081741634, + "loss": 2.4259, + "step": 3960 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045651410396374927, + "loss": 2.1779, + "step": 3961 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004562933656504822, + "loss": 2.2976, + "step": 3962 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045607263592096695, + "loss": 2.3543, + "step": 3963 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004558519148185535, + "loss": 2.2417, + "step": 3964 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004556312023865905, + "loss": 2.4042, + "step": 3965 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004554104986684245, + "loss": 2.3995, + "step": 3966 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045518980370740087, + "loss": 2.363, + "step": 3967 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045496911754686265, + "loss": 2.3854, + "step": 3968 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004547484402301516, + "loss": 2.3664, + "step": 3969 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004545277718006074, + "loss": 2.3772, + "step": 3970 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004543071123015682, + "loss": 2.2949, + "step": 3971 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004540864617763706, + "loss": 2.4595, + "step": 3972 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045386582026834903, + "loss": 2.3614, + "step": 3973 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004536451878208363, + "loss": 2.2521, + "step": 3974 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004534245644771635, + "loss": 2.418, + "step": 3975 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004532039502806598, + "loss": 2.2329, + "step": 3976 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004529833452746525, + "loss": 2.3138, + "step": 3977 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004527627495024676, + "loss": 2.4078, + "step": 3978 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045254216300742896, + "loss": 2.4057, + "step": 3979 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045232158583285846, + "loss": 2.2536, + "step": 3980 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004521010180220761, + "loss": 2.259, + "step": 3981 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004518804596184003, + "loss": 2.3406, + "step": 3982 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004516599106651479, + "loss": 2.2932, + "step": 3983 + }, + { + "epoch": 0.55, + "learning_rate": 0.00045143937120563333, + "loss": 2.3467, + "step": 3984 + }, + { + "epoch": 0.55, + "learning_rate": 0.00045121884128316935, + "loss": 2.3758, + "step": 3985 + }, + { + "epoch": 0.55, + "learning_rate": 0.00045099832094106694, + "loss": 2.2559, + "step": 3986 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004507778102226349, + "loss": 2.338, + "step": 3987 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004505573091711806, + "loss": 2.3366, + "step": 3988 + }, + { + "epoch": 0.55, + "learning_rate": 0.00045033681783000935, + "loss": 2.5047, + "step": 3989 + }, + { + "epoch": 0.55, + "learning_rate": 0.00045011633624242434, + "loss": 2.4424, + "step": 3990 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004498958644517269, + "loss": 2.3823, + "step": 3991 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044967540250121673, + "loss": 2.3479, + "step": 3992 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004494549504341911, + "loss": 2.3774, + "step": 3993 + }, + { + "epoch": 0.55, + "learning_rate": 0.000449234508293946, + "loss": 2.2489, + "step": 3994 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004490140761237749, + "loss": 2.3527, + "step": 3995 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044879365396696956, + "loss": 2.2731, + "step": 3996 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044857324186681956, + "loss": 2.6107, + "step": 3997 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004483528398666128, + "loss": 2.5212, + "step": 3998 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004481324480096352, + "loss": 2.3454, + "step": 3999 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004479120663391705, + "loss": 2.326, + "step": 4000 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044769169489850024, + "loss": 2.2898, + "step": 4001 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004474713337309046, + "loss": 2.2015, + "step": 4002 + }, + { + "epoch": 0.55, + "learning_rate": 0.000447250982879661, + "loss": 2.3163, + "step": 4003 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044703064238804527, + "loss": 2.2911, + "step": 4004 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044681031229933116, + "loss": 2.2493, + "step": 4005 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004465899926567905, + "loss": 2.4115, + "step": 4006 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044636968350369256, + "loss": 2.4261, + "step": 4007 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044614938488330525, + "loss": 2.368, + "step": 4008 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044592909683889364, + "loss": 2.4067, + "step": 4009 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004457088194137216, + "loss": 2.4063, + "step": 4010 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004454885526510501, + "loss": 2.4994, + "step": 4011 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004452682965941386, + "loss": 2.4311, + "step": 4012 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044504805128624416, + "loss": 2.2786, + "step": 4013 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004448278167706215, + "loss": 2.3238, + "step": 4014 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004446075930905238, + "loss": 2.4054, + "step": 4015 + }, + { + "epoch": 0.55, + "learning_rate": 0.000444387380289202, + "loss": 2.2979, + "step": 4016 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004441671784099045, + "loss": 2.4224, + "step": 4017 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004439469874958776, + "loss": 2.3477, + "step": 4018 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004437268075903661, + "loss": 2.2485, + "step": 4019 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044350663873661154, + "loss": 2.3566, + "step": 4020 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044328648097785453, + "loss": 2.3582, + "step": 4021 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044306633435733266, + "loss": 2.4225, + "step": 4022 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004428461989182815, + "loss": 2.3357, + "step": 4023 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004426260747039345, + "loss": 2.5776, + "step": 4024 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004424059617575228, + "loss": 2.3527, + "step": 4025 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044218586012227575, + "loss": 2.2586, + "step": 4026 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004419657698414199, + "loss": 2.4817, + "step": 4027 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004417456909581798, + "loss": 2.426, + "step": 4028 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044152562351577787, + "loss": 2.4482, + "step": 4029 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044130556755743406, + "loss": 2.443, + "step": 4030 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004410855231263663, + "loss": 2.3924, + "step": 4031 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004408654902657901, + "loss": 2.4292, + "step": 4032 + }, + { + "epoch": 0.55, + "learning_rate": 0.000440645469018919, + "loss": 2.3247, + "step": 4033 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004404254594289636, + "loss": 2.2934, + "step": 4034 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004402054615391329, + "loss": 2.3589, + "step": 4035 + }, + { + "epoch": 0.55, + "learning_rate": 0.00043998547539263313, + "loss": 2.2423, + "step": 4036 + }, + { + "epoch": 0.55, + "learning_rate": 0.00043976550103266864, + "loss": 2.3043, + "step": 4037 + }, + { + "epoch": 0.55, + "learning_rate": 0.00043954553850244105, + "loss": 2.2717, + "step": 4038 + }, + { + "epoch": 0.55, + "learning_rate": 0.00043932558784514996, + "loss": 2.5028, + "step": 4039 + }, + { + "epoch": 0.55, + "learning_rate": 0.00043910564910399247, + "loss": 2.2838, + "step": 4040 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004388857223221632, + "loss": 2.4944, + "step": 4041 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004386658075428547, + "loss": 2.4119, + "step": 4042 + }, + { + "epoch": 0.55, + "learning_rate": 0.00043844590480925745, + "loss": 2.3278, + "step": 4043 + }, + { + "epoch": 0.55, + "learning_rate": 0.00043822601416455863, + "loss": 2.1609, + "step": 4044 + }, + { + "epoch": 0.55, + "learning_rate": 0.000438006135651944, + "loss": 2.3278, + "step": 4045 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004377862693145964, + "loss": 2.3856, + "step": 4046 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004375664151956962, + "loss": 2.3979, + "step": 4047 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004373465733384218, + "loss": 2.5311, + "step": 4048 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004371267437859491, + "loss": 2.3981, + "step": 4049 + }, + { + "epoch": 0.55, + "learning_rate": 0.00043690692658145136, + "loss": 2.3768, + "step": 4050 + }, + { + "epoch": 0.55, + "learning_rate": 0.00043668712176809935, + "loss": 2.26, + "step": 4051 + }, + { + "epoch": 0.55, + "learning_rate": 0.00043646732938906155, + "loss": 2.3931, + "step": 4052 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004362475494875044, + "loss": 2.4636, + "step": 4053 + }, + { + "epoch": 0.55, + "learning_rate": 0.00043602778210659126, + "loss": 2.2806, + "step": 4054 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004358080272894832, + "loss": 2.2028, + "step": 4055 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004355882850793392, + "loss": 2.5465, + "step": 4056 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004353685555193151, + "loss": 2.4587, + "step": 4057 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004351488386525646, + "loss": 2.4153, + "step": 4058 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043492913452223945, + "loss": 2.4769, + "step": 4059 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043470944317148803, + "loss": 2.5143, + "step": 4060 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043448976464345644, + "loss": 2.2603, + "step": 4061 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043427009898128866, + "loss": 2.438, + "step": 4062 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043405044622812553, + "loss": 2.2395, + "step": 4063 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043383080642710604, + "loss": 2.408, + "step": 4064 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004336111796213661, + "loss": 2.3056, + "step": 4065 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043339156585403934, + "loss": 2.4875, + "step": 4066 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043317196516825667, + "loss": 2.3519, + "step": 4067 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043295237760714646, + "loss": 2.3212, + "step": 4068 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043273280321383444, + "loss": 2.344, + "step": 4069 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004325132420314443, + "loss": 2.3626, + "step": 4070 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004322936941030963, + "loss": 2.2844, + "step": 4071 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004320741594719087, + "loss": 2.2641, + "step": 4072 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043185463818099683, + "loss": 2.2046, + "step": 4073 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043163513027347336, + "loss": 2.4233, + "step": 4074 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004314156357924487, + "loss": 2.2919, + "step": 4075 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004311961547810305, + "loss": 2.3372, + "step": 4076 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004309766872823235, + "loss": 2.3666, + "step": 4077 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043075723333942995, + "loss": 2.32, + "step": 4078 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043053779299544957, + "loss": 2.5283, + "step": 4079 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043031836629347885, + "loss": 2.4362, + "step": 4080 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004300989532766127, + "loss": 2.3477, + "step": 4081 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004298795539879422, + "loss": 2.5132, + "step": 4082 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004296601684705565, + "loss": 2.2454, + "step": 4083 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004294407967675415, + "loss": 2.4985, + "step": 4084 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004292214389219806, + "loss": 2.2712, + "step": 4085 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004290020949769549, + "loss": 2.2603, + "step": 4086 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004287827649755422, + "loss": 2.2789, + "step": 4087 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004285634489608176, + "loss": 2.3081, + "step": 4088 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042834414697585384, + "loss": 2.396, + "step": 4089 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042812485906372033, + "loss": 2.4638, + "step": 4090 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042790558526748445, + "loss": 2.3298, + "step": 4091 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004276863256302102, + "loss": 2.4041, + "step": 4092 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042746708019495913, + "loss": 2.2907, + "step": 4093 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004272478490047897, + "loss": 2.3615, + "step": 4094 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042702863210275797, + "loss": 2.4229, + "step": 4095 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042680942953191665, + "loss": 2.3915, + "step": 4096 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042659024133531644, + "loss": 2.296, + "step": 4097 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042637106755600434, + "loss": 2.2805, + "step": 4098 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004261519082370252, + "loss": 2.4254, + "step": 4099 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004259327634214206, + "loss": 2.4426, + "step": 4100 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004257136331522293, + "loss": 2.3488, + "step": 4101 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004254945174724875, + "loss": 2.3194, + "step": 4102 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042527541642522847, + "loss": 2.2705, + "step": 4103 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004250563300534824, + "loss": 2.2874, + "step": 4104 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042483725840027656, + "loss": 2.4928, + "step": 4105 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042461820150863555, + "loss": 2.2139, + "step": 4106 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042439915942158086, + "loss": 2.3942, + "step": 4107 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004241801321821314, + "loss": 2.3684, + "step": 4108 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042396111983330305, + "loss": 2.4082, + "step": 4109 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042374212241810843, + "loss": 2.4446, + "step": 4110 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042352313997955754, + "loss": 2.3976, + "step": 4111 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004233041725606572, + "loss": 2.3535, + "step": 4112 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042308522020441196, + "loss": 2.2628, + "step": 4113 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004228662829538226, + "loss": 2.4396, + "step": 4114 + }, + { + "epoch": 0.56, + "learning_rate": 0.000422647360851887, + "loss": 2.3555, + "step": 4115 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004224284539416007, + "loss": 2.4174, + "step": 4116 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004222095622659556, + "loss": 2.3918, + "step": 4117 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004219906858679409, + "loss": 2.4428, + "step": 4118 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042177182479054287, + "loss": 2.4361, + "step": 4119 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004215529790767447, + "loss": 2.4506, + "step": 4120 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004213341487695264, + "loss": 2.3372, + "step": 4121 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004211153339118652, + "loss": 2.341, + "step": 4122 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004208965345467349, + "loss": 2.2874, + "step": 4123 + }, + { + "epoch": 0.56, + "learning_rate": 0.000420677750717107, + "loss": 2.3715, + "step": 4124 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004204589824659491, + "loss": 2.2601, + "step": 4125 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004202402298362264, + "loss": 2.3336, + "step": 4126 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042002149287090064, + "loss": 2.3984, + "step": 4127 + }, + { + "epoch": 0.56, + "learning_rate": 0.00041980277161293033, + "loss": 2.4172, + "step": 4128 + }, + { + "epoch": 0.56, + "learning_rate": 0.00041958406610527157, + "loss": 2.4668, + "step": 4129 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041936537639087696, + "loss": 2.4185, + "step": 4130 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004191467025126957, + "loss": 2.3445, + "step": 4131 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004189280445136745, + "loss": 2.2741, + "step": 4132 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041870940243675646, + "loss": 2.4058, + "step": 4133 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041849077632488154, + "loss": 2.4352, + "step": 4134 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004182721662209871, + "loss": 2.3889, + "step": 4135 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004180535721680069, + "loss": 2.3871, + "step": 4136 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004178349942088717, + "loss": 2.4939, + "step": 4137 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041761643238650886, + "loss": 2.3567, + "step": 4138 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004173978867438428, + "loss": 2.3371, + "step": 4139 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041717935732379495, + "loss": 2.3714, + "step": 4140 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004169608441692833, + "loss": 2.3329, + "step": 4141 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041674234732322243, + "loss": 2.4268, + "step": 4142 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041652386682852424, + "loss": 2.4391, + "step": 4143 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041630540272809686, + "loss": 2.2066, + "step": 4144 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004160869550648455, + "loss": 2.3564, + "step": 4145 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004158685238816726, + "loss": 2.307, + "step": 4146 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004156501092214764, + "loss": 2.3815, + "step": 4147 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041543171112715257, + "loss": 2.3077, + "step": 4148 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004152133296415933, + "loss": 2.4515, + "step": 4149 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004149949648076874, + "loss": 2.2278, + "step": 4150 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041477661666832095, + "loss": 2.3791, + "step": 4151 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041455828526637604, + "loss": 2.418, + "step": 4152 + }, + { + "epoch": 0.57, + "learning_rate": 0.000414339970644732, + "loss": 2.3089, + "step": 4153 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041412167284626453, + "loss": 2.4581, + "step": 4154 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004139033919138463, + "loss": 2.4406, + "step": 4155 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041368512789034616, + "loss": 2.2962, + "step": 4156 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041346688081863057, + "loss": 2.3137, + "step": 4157 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004132486507415617, + "loss": 2.4125, + "step": 4158 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041303043770199904, + "loss": 2.3161, + "step": 4159 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004128122417427983, + "loss": 2.4173, + "step": 4160 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004125940629068119, + "loss": 2.3854, + "step": 4161 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041237590123688924, + "loss": 2.4735, + "step": 4162 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041215775677587614, + "loss": 2.3197, + "step": 4163 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041193962956661493, + "loss": 2.3172, + "step": 4164 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041172151965194456, + "loss": 2.3862, + "step": 4165 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041150342707470055, + "loss": 2.3667, + "step": 4166 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004112853518777156, + "loss": 2.3331, + "step": 4167 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004110672941038181, + "loss": 2.134, + "step": 4168 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004108492537958337, + "loss": 2.3412, + "step": 4169 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004106312309965842, + "loss": 2.4411, + "step": 4170 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004104132257488881, + "loss": 2.3662, + "step": 4171 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041019523809556044, + "loss": 2.4002, + "step": 4172 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040997726807941317, + "loss": 2.3477, + "step": 4173 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004097593157432542, + "loss": 2.3293, + "step": 4174 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040954138112988815, + "loss": 2.4132, + "step": 4175 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004093234642821164, + "loss": 2.4084, + "step": 4176 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004091055652427364, + "loss": 2.4961, + "step": 4177 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040888768405454275, + "loss": 2.3602, + "step": 4178 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004086698207603259, + "loss": 2.2619, + "step": 4179 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040845197540287316, + "loss": 2.2951, + "step": 4180 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040823414802496804, + "loss": 2.2244, + "step": 4181 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040801633866939096, + "loss": 2.4367, + "step": 4182 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040779854737891814, + "loss": 2.5085, + "step": 4183 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004075807741963231, + "loss": 2.3053, + "step": 4184 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040736301916437494, + "loss": 2.4784, + "step": 4185 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040714528232583993, + "loss": 2.4262, + "step": 4186 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004069275637234803, + "loss": 2.3488, + "step": 4187 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004067098634000545, + "loss": 2.3996, + "step": 4188 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004064921813983182, + "loss": 2.4336, + "step": 4189 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004062745177610229, + "loss": 2.3347, + "step": 4190 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040605687253091646, + "loss": 2.2942, + "step": 4191 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004058392457507432, + "loss": 2.2891, + "step": 4192 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004056216374632438, + "loss": 2.3004, + "step": 4193 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004054040477111559, + "loss": 2.2366, + "step": 4194 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040518647653721234, + "loss": 2.3193, + "step": 4195 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040496892398414345, + "loss": 2.4228, + "step": 4196 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004047513900946751, + "loss": 2.4353, + "step": 4197 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040453387491152983, + "loss": 2.3454, + "step": 4198 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040431637847742637, + "loss": 2.3761, + "step": 4199 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004040989008350802, + "loss": 2.2411, + "step": 4200 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004038814420272026, + "loss": 2.3598, + "step": 4201 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004036640020965012, + "loss": 2.4705, + "step": 4202 + }, + { + "epoch": 0.58, + "learning_rate": 0.0004034465810856803, + "loss": 2.2932, + "step": 4203 + }, + { + "epoch": 0.58, + "learning_rate": 0.00040322917903743983, + "loss": 2.4278, + "step": 4204 + }, + { + "epoch": 0.58, + "learning_rate": 0.000403011795994477, + "loss": 2.3223, + "step": 4205 + }, + { + "epoch": 0.58, + "learning_rate": 0.0004027944319994842, + "loss": 2.3472, + "step": 4206 + }, + { + "epoch": 0.58, + "learning_rate": 0.0004025770870951508, + "loss": 2.3795, + "step": 4207 + }, + { + "epoch": 0.58, + "learning_rate": 0.00040235976132416205, + "loss": 2.3697, + "step": 4208 + }, + { + "epoch": 0.58, + "learning_rate": 0.00040214245472919974, + "loss": 2.3296, + "step": 4209 + }, + { + "epoch": 0.58, + "learning_rate": 0.0004019251673529415, + "loss": 2.4527, + "step": 4210 + }, + { + "epoch": 0.58, + "learning_rate": 0.00040170789923806173, + "loss": 2.3942, + "step": 4211 + }, + { + "epoch": 0.58, + "learning_rate": 0.0004014906504272305, + "loss": 2.4049, + "step": 4212 + }, + { + "epoch": 0.58, + "learning_rate": 0.0004012734209631145, + "loss": 2.307, + "step": 4213 + }, + { + "epoch": 0.58, + "learning_rate": 0.0004010562108883764, + "loss": 2.3604, + "step": 4214 + }, + { + "epoch": 0.58, + "learning_rate": 0.0004008390202456748, + "loss": 2.3248, + "step": 4215 + }, + { + "epoch": 0.58, + "learning_rate": 0.0004006218490776652, + "loss": 2.2252, + "step": 4216 + }, + { + "epoch": 0.58, + "learning_rate": 0.0004004046974269988, + "loss": 2.4613, + "step": 4217 + }, + { + "epoch": 0.58, + "learning_rate": 0.0004001875653363229, + "loss": 2.3423, + "step": 4218 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003999704528482812, + "loss": 2.4765, + "step": 4219 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039975336000551344, + "loss": 2.3387, + "step": 4220 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039953628685065524, + "loss": 2.2428, + "step": 4221 + }, + { + "epoch": 0.58, + "learning_rate": 0.000399319233426339, + "loss": 2.4488, + "step": 4222 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003991021997751928, + "loss": 2.396, + "step": 4223 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003988851859398408, + "loss": 2.3511, + "step": 4224 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003986681919629033, + "loss": 2.3475, + "step": 4225 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039845121788699666, + "loss": 2.4721, + "step": 4226 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003982342637547339, + "loss": 2.4289, + "step": 4227 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039801732960872337, + "loss": 2.2306, + "step": 4228 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039780041549156977, + "loss": 2.2062, + "step": 4229 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039758352144587397, + "loss": 2.4579, + "step": 4230 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039736664751423257, + "loss": 2.205, + "step": 4231 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039714979373923874, + "loss": 2.3442, + "step": 4232 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003969329601634815, + "loss": 2.3088, + "step": 4233 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039671614682954573, + "loss": 2.2821, + "step": 4234 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003964993537800121, + "loss": 2.3809, + "step": 4235 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039628258105745803, + "loss": 2.3582, + "step": 4236 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039606582870445616, + "loss": 2.4164, + "step": 4237 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003958490967635759, + "loss": 2.5044, + "step": 4238 + }, + { + "epoch": 0.58, + "learning_rate": 0.000395632385277382, + "loss": 2.3409, + "step": 4239 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039541569428843564, + "loss": 2.4704, + "step": 4240 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003951990238392935, + "loss": 2.451, + "step": 4241 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003949823739725088, + "loss": 2.2183, + "step": 4242 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003947657447306302, + "loss": 2.2423, + "step": 4243 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003945491361562028, + "loss": 2.3692, + "step": 4244 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003943325482917671, + "loss": 2.2367, + "step": 4245 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039411598117986, + "loss": 2.3146, + "step": 4246 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003938994348630141, + "loss": 2.3748, + "step": 4247 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039368290938375766, + "loss": 2.3368, + "step": 4248 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003934664047846156, + "loss": 2.3354, + "step": 4249 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003932499211081081, + "loss": 2.3285, + "step": 4250 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039303345839675143, + "loss": 2.1712, + "step": 4251 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039281701669305753, + "loss": 2.2873, + "step": 4252 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039260059603953446, + "loss": 2.3154, + "step": 4253 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003923841964786864, + "loss": 2.3184, + "step": 4254 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003921678180530127, + "loss": 2.3248, + "step": 4255 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039195146080500925, + "loss": 2.2524, + "step": 4256 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003917351247771673, + "loss": 2.3935, + "step": 4257 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003915188100119741, + "loss": 2.2582, + "step": 4258 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003913025165519125, + "loss": 2.387, + "step": 4259 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039108624443946196, + "loss": 2.4091, + "step": 4260 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003908699937170968, + "loss": 2.4215, + "step": 4261 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003906537644272875, + "loss": 2.399, + "step": 4262 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039043755661250055, + "loss": 2.4264, + "step": 4263 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003902213703151976, + "loss": 2.4556, + "step": 4264 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039000520557783705, + "loss": 2.3944, + "step": 4265 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003897890624428721, + "loss": 2.4262, + "step": 4266 + }, + { + "epoch": 0.58, + "learning_rate": 0.00038957294095275243, + "loss": 2.5265, + "step": 4267 + }, + { + "epoch": 0.58, + "learning_rate": 0.00038935684114992287, + "loss": 2.3784, + "step": 4268 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003891407630768243, + "loss": 2.421, + "step": 4269 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003889247067758936, + "loss": 2.2929, + "step": 4270 + }, + { + "epoch": 0.58, + "learning_rate": 0.00038870867228956287, + "loss": 2.3046, + "step": 4271 + }, + { + "epoch": 0.58, + "learning_rate": 0.00038849265966026017, + "loss": 2.4242, + "step": 4272 + }, + { + "epoch": 0.58, + "learning_rate": 0.00038827666893040923, + "loss": 2.1722, + "step": 4273 + }, + { + "epoch": 0.58, + "learning_rate": 0.00038806070014242957, + "loss": 2.3585, + "step": 4274 + }, + { + "epoch": 0.58, + "learning_rate": 0.00038784475333873594, + "loss": 2.5397, + "step": 4275 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038762882856173967, + "loss": 2.2483, + "step": 4276 + }, + { + "epoch": 0.59, + "learning_rate": 0.000387412925853847, + "loss": 2.3443, + "step": 4277 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003871970452574602, + "loss": 2.3891, + "step": 4278 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038698118681497685, + "loss": 2.3691, + "step": 4279 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038676535056879043, + "loss": 2.3009, + "step": 4280 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038654953656129033, + "loss": 2.4099, + "step": 4281 + }, + { + "epoch": 0.59, + "learning_rate": 0.000386333744834861, + "loss": 2.3651, + "step": 4282 + }, + { + "epoch": 0.59, + "learning_rate": 0.000386117975431883, + "loss": 2.515, + "step": 4283 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003859022283947322, + "loss": 2.2726, + "step": 4284 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038568650376578, + "loss": 2.4098, + "step": 4285 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038547080158739375, + "loss": 2.4048, + "step": 4286 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003852551219019363, + "loss": 2.402, + "step": 4287 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038503946475176593, + "loss": 2.2349, + "step": 4288 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038482383017923646, + "loss": 2.3684, + "step": 4289 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038460821822669755, + "loss": 2.2313, + "step": 4290 + }, + { + "epoch": 0.59, + "learning_rate": 0.000384392628936494, + "loss": 2.3689, + "step": 4291 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038417706235096665, + "loss": 2.3668, + "step": 4292 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038396151851245155, + "loss": 2.2954, + "step": 4293 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038374599746328044, + "loss": 2.3173, + "step": 4294 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038353049924578033, + "loss": 2.2736, + "step": 4295 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003833150239022741, + "loss": 2.3545, + "step": 4296 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038309957147507974, + "loss": 2.4239, + "step": 4297 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003828841420065113, + "loss": 2.2336, + "step": 4298 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003826687355388778, + "loss": 2.2838, + "step": 4299 + }, + { + "epoch": 0.59, + "learning_rate": 0.000382453352114484, + "loss": 2.3737, + "step": 4300 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038223799177563005, + "loss": 2.3931, + "step": 4301 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003820226545646113, + "loss": 2.1984, + "step": 4302 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038180734052371926, + "loss": 2.3727, + "step": 4303 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038159204969524037, + "loss": 2.2514, + "step": 4304 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003813767821214564, + "loss": 2.4168, + "step": 4305 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003811615378446451, + "loss": 2.4743, + "step": 4306 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003809463169070788, + "loss": 2.3678, + "step": 4307 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038073111935102633, + "loss": 2.3298, + "step": 4308 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003805159452187509, + "loss": 2.5217, + "step": 4309 + }, + { + "epoch": 0.59, + "learning_rate": 0.000380300794552512, + "loss": 2.261, + "step": 4310 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003800856673945637, + "loss": 2.3266, + "step": 4311 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037987056378715594, + "loss": 2.249, + "step": 4312 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003796554837725338, + "loss": 2.3753, + "step": 4313 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003794404273929383, + "loss": 2.4164, + "step": 4314 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003792253946906051, + "loss": 2.2867, + "step": 4315 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003790103857077653, + "loss": 2.3031, + "step": 4316 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003787954004866458, + "loss": 2.3064, + "step": 4317 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003785804390694684, + "loss": 2.5152, + "step": 4318 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037836550149845043, + "loss": 2.3051, + "step": 4319 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003781505878158047, + "loss": 2.4311, + "step": 4320 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003779356980637389, + "loss": 2.3768, + "step": 4321 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037772083228445615, + "loss": 2.3643, + "step": 4322 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003775059905201552, + "loss": 2.27, + "step": 4323 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003772911728130295, + "loss": 2.2787, + "step": 4324 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037707637920526854, + "loss": 2.1943, + "step": 4325 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003768616097390564, + "loss": 2.546, + "step": 4326 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003766468644565727, + "loss": 2.2791, + "step": 4327 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003764321433999922, + "loss": 2.4, + "step": 4328 + }, + { + "epoch": 0.59, + "learning_rate": 0.000376217446611485, + "loss": 2.5051, + "step": 4329 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003760027741332166, + "loss": 2.3734, + "step": 4330 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037578812600734746, + "loss": 2.3547, + "step": 4331 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003755735022760332, + "loss": 2.4166, + "step": 4332 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037535890298142494, + "loss": 2.4067, + "step": 4333 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003751443281656688, + "loss": 2.1909, + "step": 4334 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037492977787090595, + "loss": 2.4138, + "step": 4335 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037471525213927313, + "loss": 2.3056, + "step": 4336 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037450075101290214, + "loss": 2.4661, + "step": 4337 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037428627453391984, + "loss": 2.4012, + "step": 4338 + }, + { + "epoch": 0.59, + "learning_rate": 0.000374071822744448, + "loss": 2.2583, + "step": 4339 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037385739568660393, + "loss": 2.4149, + "step": 4340 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037364299340250027, + "loss": 2.3947, + "step": 4341 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003734286159342442, + "loss": 2.292, + "step": 4342 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003732142633239384, + "loss": 2.3745, + "step": 4343 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037299993561368066, + "loss": 2.4348, + "step": 4344 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037278563284556354, + "loss": 2.2568, + "step": 4345 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003725713550616752, + "loss": 2.3886, + "step": 4346 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037235710230409876, + "loss": 2.4084, + "step": 4347 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003721428746149122, + "loss": 2.2363, + "step": 4348 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003719286720361886, + "loss": 2.2603, + "step": 4349 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003717144946099964, + "loss": 2.3894, + "step": 4350 + }, + { + "epoch": 0.6, + "learning_rate": 0.00037150034237839856, + "loss": 2.3257, + "step": 4351 + }, + { + "epoch": 0.6, + "learning_rate": 0.000371286215383454, + "loss": 2.2685, + "step": 4352 + }, + { + "epoch": 0.6, + "learning_rate": 0.00037107211366721574, + "loss": 2.3516, + "step": 4353 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003708580372717324, + "loss": 2.3188, + "step": 4354 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003706439862390472, + "loss": 2.2905, + "step": 4355 + }, + { + "epoch": 0.6, + "learning_rate": 0.00037042996061119885, + "loss": 2.4214, + "step": 4356 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003702159604302209, + "loss": 2.3295, + "step": 4357 + }, + { + "epoch": 0.6, + "learning_rate": 0.00037000198573814173, + "loss": 2.317, + "step": 4358 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036978803657698484, + "loss": 2.3141, + "step": 4359 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036957411298876885, + "loss": 2.4327, + "step": 4360 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003693602150155071, + "loss": 2.3887, + "step": 4361 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036914634269920776, + "loss": 2.3187, + "step": 4362 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003689324960818747, + "loss": 2.3587, + "step": 4363 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003687186752055061, + "loss": 2.4389, + "step": 4364 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036850488011209515, + "loss": 2.6451, + "step": 4365 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003682911108436302, + "loss": 2.5197, + "step": 4366 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003680773674420941, + "loss": 2.4574, + "step": 4367 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003678636499494654, + "loss": 2.3011, + "step": 4368 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036764995840771674, + "loss": 2.2683, + "step": 4369 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003674362928588162, + "loss": 2.4644, + "step": 4370 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036722265334472647, + "loss": 2.3364, + "step": 4371 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003670090399074051, + "loss": 2.1988, + "step": 4372 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003667954525888048, + "loss": 2.1145, + "step": 4373 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036658189143087307, + "loss": 2.2375, + "step": 4374 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003663683564755521, + "loss": 2.2456, + "step": 4375 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003661548477647789, + "loss": 2.2354, + "step": 4376 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003659413653404856, + "loss": 2.3782, + "step": 4377 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036572790924459876, + "loss": 2.4276, + "step": 4378 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036551447951904036, + "loss": 2.3165, + "step": 4379 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036530107620572695, + "loss": 2.2336, + "step": 4380 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003650876993465695, + "loss": 2.3677, + "step": 4381 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003648743489834742, + "loss": 2.2569, + "step": 4382 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003646610251583418, + "loss": 2.2991, + "step": 4383 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036444772791306826, + "loss": 2.3854, + "step": 4384 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003642344572895439, + "loss": 2.327, + "step": 4385 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036402121332965387, + "loss": 2.3236, + "step": 4386 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036380799607527826, + "loss": 2.3737, + "step": 4387 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036359480556829183, + "loss": 2.295, + "step": 4388 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003633816418505637, + "loss": 2.397, + "step": 4389 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003631685049639586, + "loss": 2.3608, + "step": 4390 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003629553949503353, + "loss": 2.3977, + "step": 4391 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003627423118515474, + "loss": 2.29, + "step": 4392 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003625292557094434, + "loss": 2.3265, + "step": 4393 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003623162265658662, + "loss": 2.3317, + "step": 4394 + }, + { + "epoch": 0.6, + "learning_rate": 0.000362103224462654, + "loss": 2.2989, + "step": 4395 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036189024944163886, + "loss": 2.2765, + "step": 4396 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003616773015446483, + "loss": 2.5431, + "step": 4397 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003614643808135039, + "loss": 2.4305, + "step": 4398 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036125148729002223, + "loss": 2.3639, + "step": 4399 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036103862101601427, + "loss": 2.2776, + "step": 4400 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036082578203328633, + "loss": 2.2465, + "step": 4401 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036061297038363847, + "loss": 2.3183, + "step": 4402 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003604001861088658, + "loss": 2.4916, + "step": 4403 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003601874292507583, + "loss": 2.2806, + "step": 4404 + }, + { + "epoch": 0.6, + "learning_rate": 0.00035997469985109975, + "loss": 2.3442, + "step": 4405 + }, + { + "epoch": 0.6, + "learning_rate": 0.00035976199795166954, + "loss": 2.3124, + "step": 4406 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003595493235942412, + "loss": 2.3554, + "step": 4407 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003593366768205827, + "loss": 2.3484, + "step": 4408 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003591240576724567, + "loss": 2.3426, + "step": 4409 + }, + { + "epoch": 0.6, + "learning_rate": 0.00035891146619162036, + "loss": 2.278, + "step": 4410 + }, + { + "epoch": 0.6, + "learning_rate": 0.00035869890241982595, + "loss": 2.2772, + "step": 4411 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003584863663988196, + "loss": 2.2885, + "step": 4412 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003582738581703422, + "loss": 2.4778, + "step": 4413 + }, + { + "epoch": 0.6, + "learning_rate": 0.00035806137777612935, + "loss": 2.1379, + "step": 4414 + }, + { + "epoch": 0.6, + "learning_rate": 0.000357848925257911, + "loss": 2.3209, + "step": 4415 + }, + { + "epoch": 0.6, + "learning_rate": 0.00035763650065741173, + "loss": 2.3059, + "step": 4416 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003574241040163506, + "loss": 2.3468, + "step": 4417 + }, + { + "epoch": 0.6, + "learning_rate": 0.00035721173537644135, + "loss": 2.2616, + "step": 4418 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003569993947793918, + "loss": 2.3381, + "step": 4419 + }, + { + "epoch": 0.6, + "learning_rate": 0.00035678708226690483, + "loss": 2.1798, + "step": 4420 + }, + { + "epoch": 0.6, + "learning_rate": 0.00035657479788067697, + "loss": 2.3103, + "step": 4421 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035636254166240036, + "loss": 2.2634, + "step": 4422 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003561503136537606, + "loss": 2.3147, + "step": 4423 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003559381138964383, + "loss": 2.36, + "step": 4424 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003557259424321084, + "loss": 2.3853, + "step": 4425 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003555137993024401, + "loss": 2.362, + "step": 4426 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003553016845490972, + "loss": 2.1878, + "step": 4427 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035508959821373815, + "loss": 2.3448, + "step": 4428 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035487754033801535, + "loss": 2.2649, + "step": 4429 + }, + { + "epoch": 0.61, + "learning_rate": 0.000354665510963576, + "loss": 2.4124, + "step": 4430 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003544535101320615, + "loss": 2.4272, + "step": 4431 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003542415378851075, + "loss": 2.4775, + "step": 4432 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035402959426434445, + "loss": 2.338, + "step": 4433 + }, + { + "epoch": 0.61, + "learning_rate": 0.000353817679311397, + "loss": 2.2802, + "step": 4434 + }, + { + "epoch": 0.61, + "learning_rate": 0.000353605793067884, + "loss": 2.406, + "step": 4435 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035339393557541875, + "loss": 2.2354, + "step": 4436 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035318210687560906, + "loss": 2.3277, + "step": 4437 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035297030701005673, + "loss": 2.4477, + "step": 4438 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003527585360203586, + "loss": 2.367, + "step": 4439 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003525467939481049, + "loss": 2.1308, + "step": 4440 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035233508083488084, + "loss": 2.3067, + "step": 4441 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003521233967222658, + "loss": 2.3126, + "step": 4442 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003519117416518332, + "loss": 2.4559, + "step": 4443 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003517001156651514, + "loss": 2.3, + "step": 4444 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003514885188037823, + "loss": 2.4854, + "step": 4445 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003512769511092825, + "loss": 2.314, + "step": 4446 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035106541262320276, + "loss": 2.3878, + "step": 4447 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003508539033870879, + "loss": 2.3791, + "step": 4448 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035064242344247766, + "loss": 2.4263, + "step": 4449 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003504309728309052, + "loss": 2.4077, + "step": 4450 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003502195515938986, + "loss": 2.2234, + "step": 4451 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035000815977297964, + "loss": 2.293, + "step": 4452 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003497967974096647, + "loss": 2.2203, + "step": 4453 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034958546454546397, + "loss": 2.398, + "step": 4454 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034937416122188253, + "loss": 2.3208, + "step": 4455 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034916288748041894, + "loss": 2.2283, + "step": 4456 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034895164336256636, + "loss": 2.3551, + "step": 4457 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034874042890981196, + "loss": 2.3342, + "step": 4458 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034852924416363694, + "loss": 2.4728, + "step": 4459 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003483180891655173, + "loss": 2.3261, + "step": 4460 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003481069639569225, + "loss": 2.3421, + "step": 4461 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003478958685793165, + "loss": 2.3183, + "step": 4462 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034768480307415726, + "loss": 2.2531, + "step": 4463 + }, + { + "epoch": 0.61, + "learning_rate": 0.000347473767482897, + "loss": 2.3332, + "step": 4464 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003472627618469817, + "loss": 2.4687, + "step": 4465 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034705178620785215, + "loss": 2.3967, + "step": 4466 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003468408406069428, + "loss": 2.2315, + "step": 4467 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034662992508568204, + "loss": 2.3026, + "step": 4468 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003464190396854926, + "loss": 2.2116, + "step": 4469 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003462081844477912, + "loss": 2.3004, + "step": 4470 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034599735941398904, + "loss": 2.3867, + "step": 4471 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034578656462549084, + "loss": 2.2531, + "step": 4472 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034557580012369536, + "loss": 2.3619, + "step": 4473 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034536506594999605, + "loss": 2.3689, + "step": 4474 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003451543621457797, + "loss": 2.3129, + "step": 4475 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034494368875242733, + "loss": 2.2725, + "step": 4476 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003447330458113143, + "loss": 2.4303, + "step": 4477 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003445224333638098, + "loss": 2.2576, + "step": 4478 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034431185145127676, + "loss": 2.4234, + "step": 4479 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003441013001150727, + "loss": 2.3426, + "step": 4480 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034389077939654835, + "loss": 2.3543, + "step": 4481 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034368028933704924, + "loss": 2.1361, + "step": 4482 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003434698299779143, + "loss": 2.3877, + "step": 4483 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034325940136047686, + "loss": 2.33, + "step": 4484 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003430490035260638, + "loss": 2.372, + "step": 4485 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034283863651599593, + "loss": 2.3364, + "step": 4486 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003426283003715886, + "loss": 2.2848, + "step": 4487 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034241799513415067, + "loss": 2.2317, + "step": 4488 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034220772084498486, + "loss": 2.3273, + "step": 4489 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003419974775453879, + "loss": 2.358, + "step": 4490 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003417872652766506, + "loss": 2.4146, + "step": 4491 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034157708408005723, + "loss": 2.358, + "step": 4492 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034136693399688657, + "loss": 2.1908, + "step": 4493 + }, + { + "epoch": 0.61, + "learning_rate": 0.000341156815068411, + "loss": 2.443, + "step": 4494 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003409467273358967, + "loss": 2.4792, + "step": 4495 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003407366708406037, + "loss": 2.4021, + "step": 4496 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003405266456237858, + "loss": 2.2308, + "step": 4497 + }, + { + "epoch": 0.62, + "learning_rate": 0.00034031665172669134, + "loss": 2.2428, + "step": 4498 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003401066891905618, + "loss": 2.4043, + "step": 4499 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003398967580566325, + "loss": 2.4242, + "step": 4500 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003396868583661331, + "loss": 2.2694, + "step": 4501 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033947699016028657, + "loss": 2.2924, + "step": 4502 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033926715348031, + "loss": 2.4244, + "step": 4503 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033905734836741416, + "loss": 2.3643, + "step": 4504 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003388475748628038, + "loss": 2.3587, + "step": 4505 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003386378330076772, + "loss": 2.155, + "step": 4506 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003384281228432267, + "loss": 2.2362, + "step": 4507 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003382184444106379, + "loss": 2.1859, + "step": 4508 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033800879775109093, + "loss": 2.3849, + "step": 4509 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003377991829057591, + "loss": 2.2233, + "step": 4510 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033758959991580986, + "loss": 2.4031, + "step": 4511 + }, + { + "epoch": 0.62, + "learning_rate": 0.000337380048822404, + "loss": 2.3371, + "step": 4512 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033717052966669605, + "loss": 2.3838, + "step": 4513 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003369610424898348, + "loss": 2.6432, + "step": 4514 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033675158733296247, + "loss": 2.2518, + "step": 4515 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033654216423721465, + "loss": 2.4846, + "step": 4516 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033633277324372123, + "loss": 2.3867, + "step": 4517 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033612341439360533, + "loss": 2.4368, + "step": 4518 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003359140877279837, + "loss": 2.3479, + "step": 4519 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003357047932879673, + "loss": 2.2491, + "step": 4520 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003354955311146606, + "loss": 2.2731, + "step": 4521 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003352863012491612, + "loss": 2.2972, + "step": 4522 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003350771037325608, + "loss": 2.4907, + "step": 4523 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003348679386059448, + "loss": 2.3116, + "step": 4524 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033465880591039223, + "loss": 2.4217, + "step": 4525 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003344497056869755, + "loss": 2.4201, + "step": 4526 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033424063797676075, + "loss": 2.4077, + "step": 4527 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003340316028208079, + "loss": 2.3909, + "step": 4528 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033382260026017024, + "loss": 2.3736, + "step": 4529 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033361363033589466, + "loss": 2.2832, + "step": 4530 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003334046930890221, + "loss": 2.1664, + "step": 4531 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003331957885605865, + "loss": 2.2208, + "step": 4532 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003329869167916155, + "loss": 2.3607, + "step": 4533 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033277807782313074, + "loss": 2.433, + "step": 4534 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003325692716961466, + "loss": 2.3001, + "step": 4535 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033236049845167205, + "loss": 2.2228, + "step": 4536 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033215175813070864, + "loss": 2.2941, + "step": 4537 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003319430507742521, + "loss": 2.4109, + "step": 4538 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003317343764232913, + "loss": 2.3176, + "step": 4539 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003315257351188089, + "loss": 2.573, + "step": 4540 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003313171269017807, + "loss": 2.3698, + "step": 4541 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003311085518131767, + "loss": 2.2841, + "step": 4542 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003309000098939595, + "loss": 2.3142, + "step": 4543 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033069150118508593, + "loss": 2.3418, + "step": 4544 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033048302572750586, + "loss": 2.3866, + "step": 4545 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033027458356216265, + "loss": 2.1802, + "step": 4546 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033006617472999345, + "loss": 2.3644, + "step": 4547 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003298577992719286, + "loss": 2.3025, + "step": 4548 + }, + { + "epoch": 0.62, + "learning_rate": 0.00032964945722889206, + "loss": 2.3214, + "step": 4549 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003294411486418007, + "loss": 2.5148, + "step": 4550 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003292328735515655, + "loss": 2.5164, + "step": 4551 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003290246319990908, + "loss": 2.3797, + "step": 4552 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003288164240252737, + "loss": 2.3292, + "step": 4553 + }, + { + "epoch": 0.62, + "learning_rate": 0.00032860824967100553, + "loss": 2.1509, + "step": 4554 + }, + { + "epoch": 0.62, + "learning_rate": 0.00032840010897717045, + "loss": 2.3745, + "step": 4555 + }, + { + "epoch": 0.62, + "learning_rate": 0.00032819200198464605, + "loss": 2.2955, + "step": 4556 + }, + { + "epoch": 0.62, + "learning_rate": 0.00032798392873430355, + "loss": 2.2257, + "step": 4557 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003277758892670076, + "loss": 2.4093, + "step": 4558 + }, + { + "epoch": 0.62, + "learning_rate": 0.000327567883623616, + "loss": 2.2184, + "step": 4559 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003273599118449798, + "loss": 2.3108, + "step": 4560 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003271519739719437, + "loss": 2.3216, + "step": 4561 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003269440700453453, + "loss": 2.2376, + "step": 4562 + }, + { + "epoch": 0.62, + "learning_rate": 0.00032673620010601634, + "loss": 2.4098, + "step": 4563 + }, + { + "epoch": 0.62, + "learning_rate": 0.00032652836419478097, + "loss": 2.3734, + "step": 4564 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003263205623524573, + "loss": 2.5075, + "step": 4565 + }, + { + "epoch": 0.62, + "learning_rate": 0.00032611279461985634, + "loss": 2.414, + "step": 4566 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003259050610377827, + "loss": 2.4615, + "step": 4567 + }, + { + "epoch": 0.62, + "learning_rate": 0.000325697361647034, + "loss": 2.2768, + "step": 4568 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032548969648840155, + "loss": 2.4082, + "step": 4569 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032528206560266944, + "loss": 2.2878, + "step": 4570 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032507446903061547, + "loss": 2.326, + "step": 4571 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032486690681301047, + "loss": 2.2613, + "step": 4572 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003246593789906183, + "loss": 2.1872, + "step": 4573 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003244518856041966, + "loss": 2.2801, + "step": 4574 + }, + { + "epoch": 0.63, + "learning_rate": 0.000324244426694496, + "loss": 2.4314, + "step": 4575 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032403700230226016, + "loss": 2.3129, + "step": 4576 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032382961246822634, + "loss": 2.2407, + "step": 4577 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032362225723312464, + "loss": 2.3163, + "step": 4578 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003234149366376784, + "loss": 2.4765, + "step": 4579 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003232076507226046, + "loss": 2.2034, + "step": 4580 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032300039952861304, + "loss": 2.3575, + "step": 4581 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003227931830964067, + "loss": 2.195, + "step": 4582 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003225860014666816, + "loss": 2.2502, + "step": 4583 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003223788546801273, + "loss": 2.4227, + "step": 4584 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032217174277742643, + "loss": 2.402, + "step": 4585 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032196466579925454, + "loss": 2.4417, + "step": 4586 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032175762378628043, + "loss": 2.3854, + "step": 4587 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003215506167791662, + "loss": 2.296, + "step": 4588 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003213436448185666, + "loss": 2.2822, + "step": 4589 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032113670794513017, + "loss": 2.3512, + "step": 4590 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032092980619949824, + "loss": 2.1944, + "step": 4591 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032072293962230505, + "loss": 2.4085, + "step": 4592 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003205161082541781, + "loss": 2.2191, + "step": 4593 + }, + { + "epoch": 0.63, + "learning_rate": 0.000320309312135738, + "loss": 2.3272, + "step": 4594 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003201025513075983, + "loss": 2.3381, + "step": 4595 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031989582581036605, + "loss": 2.3587, + "step": 4596 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003196891356846408, + "loss": 2.3822, + "step": 4597 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031948248097101546, + "loss": 2.3049, + "step": 4598 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031927586171007596, + "loss": 2.2394, + "step": 4599 + }, + { + "epoch": 0.63, + "learning_rate": 0.000319069277942401, + "loss": 2.3709, + "step": 4600 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003188627297085628, + "loss": 2.4997, + "step": 4601 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031865621704912635, + "loss": 2.2818, + "step": 4602 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003184497400046494, + "loss": 2.4032, + "step": 4603 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031824329861568335, + "loss": 2.3203, + "step": 4604 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031803689292277186, + "loss": 2.2942, + "step": 4605 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003178305229664519, + "loss": 2.3883, + "step": 4606 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031762418878725354, + "loss": 2.3422, + "step": 4607 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031741789042569993, + "loss": 2.334, + "step": 4608 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003172116279223066, + "loss": 2.2532, + "step": 4609 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031700540131758266, + "loss": 2.2536, + "step": 4610 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031679921065202966, + "loss": 2.4178, + "step": 4611 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031659305596614285, + "loss": 2.2769, + "step": 4612 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003163869373004096, + "loss": 2.2715, + "step": 4613 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031618085469531035, + "loss": 2.3185, + "step": 4614 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031597480819131894, + "loss": 2.3697, + "step": 4615 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031576879782890165, + "loss": 2.3592, + "step": 4616 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003155628236485178, + "loss": 2.2762, + "step": 4617 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003153568856906199, + "loss": 2.3981, + "step": 4618 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031515098399565285, + "loss": 2.328, + "step": 4619 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031494511860405454, + "loss": 2.1731, + "step": 4620 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031473928955625617, + "loss": 2.3086, + "step": 4621 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031453349689268106, + "loss": 2.3359, + "step": 4622 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003143277406537463, + "loss": 2.4068, + "step": 4623 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031412202087986084, + "loss": 2.3258, + "step": 4624 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003139163376114274, + "loss": 2.1849, + "step": 4625 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031371069088884074, + "loss": 2.3151, + "step": 4626 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031350508075248884, + "loss": 2.3341, + "step": 4627 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003132995072427526, + "loss": 2.4575, + "step": 4628 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031309397040000554, + "loss": 2.2192, + "step": 4629 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031288847026461386, + "loss": 2.3755, + "step": 4630 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003126830068769369, + "loss": 2.288, + "step": 4631 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003124775802773265, + "loss": 2.2417, + "step": 4632 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003122721905061271, + "loss": 2.3201, + "step": 4633 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031206683760367647, + "loss": 2.4055, + "step": 4634 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003118615216103049, + "loss": 2.4659, + "step": 4635 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003116562425663353, + "loss": 2.2368, + "step": 4636 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003114510005120831, + "loss": 2.4744, + "step": 4637 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031124579548785693, + "loss": 2.3628, + "step": 4638 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003110406275339582, + "loss": 2.3904, + "step": 4639 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003108354966906805, + "loss": 2.3754, + "step": 4640 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031063040299831067, + "loss": 2.277, + "step": 4641 + }, + { + "epoch": 0.64, + "learning_rate": 0.00031042534649712794, + "loss": 2.2315, + "step": 4642 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003102203272274042, + "loss": 2.4252, + "step": 4643 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003100153452294041, + "loss": 2.1805, + "step": 4644 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030981040054338545, + "loss": 2.309, + "step": 4645 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030960549320959796, + "loss": 2.4804, + "step": 4646 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030940062326828435, + "loss": 2.4843, + "step": 4647 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030919579075968013, + "loss": 2.4614, + "step": 4648 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030899099572401304, + "loss": 2.2027, + "step": 4649 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003087862382015042, + "loss": 2.3489, + "step": 4650 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030858151823236646, + "loss": 2.3663, + "step": 4651 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003083768358568061, + "loss": 2.3701, + "step": 4652 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003081721911150214, + "loss": 2.336, + "step": 4653 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030796758404720364, + "loss": 2.3419, + "step": 4654 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030776301469353633, + "loss": 2.3734, + "step": 4655 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003075584830941962, + "loss": 2.4495, + "step": 4656 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003073539892893519, + "loss": 2.2653, + "step": 4657 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003071495333191651, + "loss": 2.3694, + "step": 4658 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030694511522378964, + "loss": 2.1954, + "step": 4659 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003067407350433722, + "loss": 2.3793, + "step": 4660 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003065363928180521, + "loss": 2.3322, + "step": 4661 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003063320885879612, + "loss": 2.1718, + "step": 4662 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030612782239322346, + "loss": 2.329, + "step": 4663 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003059235942739559, + "loss": 2.2813, + "step": 4664 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003057194042702676, + "loss": 2.2807, + "step": 4665 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030551525242226063, + "loss": 2.4342, + "step": 4666 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030531113877002927, + "loss": 2.4045, + "step": 4667 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030510706335366036, + "loss": 2.4262, + "step": 4668 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003049030262132333, + "loss": 2.2865, + "step": 4669 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030469902738881964, + "loss": 2.175, + "step": 4670 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003044950669204838, + "loss": 2.1667, + "step": 4671 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003042911448482828, + "loss": 2.3216, + "step": 4672 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003040872612122656, + "loss": 2.3346, + "step": 4673 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030388341605247385, + "loss": 2.3384, + "step": 4674 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030367960940894177, + "loss": 2.2698, + "step": 4675 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030347584132169573, + "loss": 2.3928, + "step": 4676 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030327211183075494, + "loss": 2.3991, + "step": 4677 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003030684209761307, + "loss": 2.3431, + "step": 4678 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003028647687978269, + "loss": 2.3699, + "step": 4679 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030266115533583954, + "loss": 2.3539, + "step": 4680 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030245758063015746, + "loss": 2.3874, + "step": 4681 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003022540447207613, + "loss": 2.3995, + "step": 4682 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030205054764762484, + "loss": 2.2554, + "step": 4683 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003018470894507136, + "loss": 2.274, + "step": 4684 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003016436701699859, + "loss": 2.2373, + "step": 4685 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030144028984539203, + "loss": 2.3896, + "step": 4686 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030123694851687466, + "loss": 2.3425, + "step": 4687 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003010336462243692, + "loss": 2.2733, + "step": 4688 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003008303830078032, + "loss": 2.4707, + "step": 4689 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030062715890709623, + "loss": 2.2375, + "step": 4690 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003004239739621608, + "loss": 2.2771, + "step": 4691 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030022082821290074, + "loss": 2.4946, + "step": 4692 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003000177216992135, + "loss": 2.3612, + "step": 4693 + }, + { + "epoch": 0.64, + "learning_rate": 0.00029981465446098765, + "loss": 2.2504, + "step": 4694 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002996116265381048, + "loss": 2.3995, + "step": 4695 + }, + { + "epoch": 0.64, + "learning_rate": 0.00029940863797043844, + "loss": 2.1696, + "step": 4696 + }, + { + "epoch": 0.64, + "learning_rate": 0.00029920568879785434, + "loss": 2.3317, + "step": 4697 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002990027790602107, + "loss": 2.3233, + "step": 4698 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002987999087973581, + "loss": 2.2866, + "step": 4699 + }, + { + "epoch": 0.64, + "learning_rate": 0.00029859707804913904, + "loss": 2.3299, + "step": 4700 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002983942868553884, + "loss": 2.2978, + "step": 4701 + }, + { + "epoch": 0.64, + "learning_rate": 0.00029819153525593333, + "loss": 2.4046, + "step": 4702 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002979888232905931, + "loss": 2.2746, + "step": 4703 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002977861509991793, + "loss": 2.2669, + "step": 4704 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002975835184214959, + "loss": 2.3622, + "step": 4705 + }, + { + "epoch": 0.64, + "learning_rate": 0.00029738092559733866, + "loss": 2.4179, + "step": 4706 + }, + { + "epoch": 0.64, + "learning_rate": 0.00029717837256649566, + "loss": 2.2919, + "step": 4707 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002969758593687475, + "loss": 2.2869, + "step": 4708 + }, + { + "epoch": 0.64, + "learning_rate": 0.00029677338604386627, + "loss": 2.3163, + "step": 4709 + }, + { + "epoch": 0.64, + "learning_rate": 0.00029657095263161727, + "loss": 2.3546, + "step": 4710 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002963685591717569, + "loss": 2.2655, + "step": 4711 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002961662057040343, + "loss": 2.2284, + "step": 4712 + }, + { + "epoch": 0.64, + "learning_rate": 0.00029596389226819054, + "loss": 2.2758, + "step": 4713 + }, + { + "epoch": 0.64, + "learning_rate": 0.000295761618903959, + "loss": 2.1956, + "step": 4714 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002955593856510651, + "loss": 2.5365, + "step": 4715 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029535719254922645, + "loss": 2.2844, + "step": 4716 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002951550396381525, + "loss": 2.2014, + "step": 4717 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002949529269575453, + "loss": 2.308, + "step": 4718 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002947508545470985, + "loss": 2.2153, + "step": 4719 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029454882244649784, + "loss": 2.3367, + "step": 4720 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029434683069542176, + "loss": 2.3835, + "step": 4721 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029414487933354026, + "loss": 2.2458, + "step": 4722 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029394296840051554, + "loss": 2.329, + "step": 4723 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002937410979360017, + "loss": 2.5205, + "step": 4724 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002935392679796449, + "loss": 2.3486, + "step": 4725 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002933374785710839, + "loss": 2.169, + "step": 4726 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002931357297499489, + "loss": 2.2141, + "step": 4727 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029293402155586225, + "loss": 2.3731, + "step": 4728 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002927323540284384, + "loss": 2.2762, + "step": 4729 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002925307272072836, + "loss": 2.2283, + "step": 4730 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029232914113199647, + "loss": 2.2902, + "step": 4731 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029212759584216764, + "loss": 2.3418, + "step": 4732 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029192609137737927, + "loss": 2.292, + "step": 4733 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029172462777720586, + "loss": 2.3303, + "step": 4734 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029152320508121353, + "loss": 2.3978, + "step": 4735 + }, + { + "epoch": 0.65, + "learning_rate": 0.000291321823328961, + "loss": 2.3471, + "step": 4736 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029112048255999843, + "loss": 2.2297, + "step": 4737 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002909191828138683, + "loss": 2.3553, + "step": 4738 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029071792413010454, + "loss": 2.2369, + "step": 4739 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002905167065482334, + "loss": 2.1283, + "step": 4740 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029031553010777265, + "loss": 2.3935, + "step": 4741 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002901143948482329, + "loss": 2.2575, + "step": 4742 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002899133008091154, + "loss": 2.1012, + "step": 4743 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028971224802991444, + "loss": 2.2911, + "step": 4744 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002895112365501156, + "loss": 2.3688, + "step": 4745 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028931026640919633, + "loss": 2.2063, + "step": 4746 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028910933764662606, + "loss": 2.2628, + "step": 4747 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002889084503018664, + "loss": 2.3604, + "step": 4748 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028870760441437025, + "loss": 2.3904, + "step": 4749 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028850680002358303, + "loss": 2.3022, + "step": 4750 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002883060371689415, + "loss": 2.1946, + "step": 4751 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002881053158898742, + "loss": 2.166, + "step": 4752 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002879046362258021, + "loss": 2.3386, + "step": 4753 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028770399821613745, + "loss": 2.3395, + "step": 4754 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002875034019002846, + "loss": 2.3446, + "step": 4755 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002873028473176392, + "loss": 2.3616, + "step": 4756 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002871023345075896, + "loss": 2.4312, + "step": 4757 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028690186350951514, + "loss": 2.4755, + "step": 4758 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028670143436278754, + "loss": 2.2247, + "step": 4759 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002865010471067699, + "loss": 2.2987, + "step": 4760 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002863007017808172, + "loss": 2.2093, + "step": 4761 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028610039842427595, + "loss": 2.4987, + "step": 4762 + }, + { + "epoch": 0.65, + "learning_rate": 0.000285900137076485, + "loss": 2.2861, + "step": 4763 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002856999177767746, + "loss": 2.4587, + "step": 4764 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028549974056446683, + "loss": 2.464, + "step": 4765 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028529960547887524, + "loss": 2.2952, + "step": 4766 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002850995125593053, + "loss": 2.4011, + "step": 4767 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028489946184505414, + "loss": 2.3143, + "step": 4768 + }, + { + "epoch": 0.65, + "learning_rate": 0.000284699453375411, + "loss": 2.2465, + "step": 4769 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028449948718965604, + "loss": 2.2681, + "step": 4770 + }, + { + "epoch": 0.65, + "learning_rate": 0.000284299563327062, + "loss": 2.4023, + "step": 4771 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002840996818268926, + "loss": 2.336, + "step": 4772 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002838998427284036, + "loss": 2.2402, + "step": 4773 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002837000460708422, + "loss": 2.2768, + "step": 4774 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002835002918934476, + "loss": 2.3592, + "step": 4775 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028330058023545024, + "loss": 2.233, + "step": 4776 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028310091113607284, + "loss": 2.4715, + "step": 4777 + }, + { + "epoch": 0.65, + "learning_rate": 0.000282901284634529, + "loss": 2.3262, + "step": 4778 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002827017007700242, + "loss": 2.31, + "step": 4779 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002825021595817561, + "loss": 2.3551, + "step": 4780 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028230266110891323, + "loss": 2.4336, + "step": 4781 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002821032053906759, + "loss": 2.3545, + "step": 4782 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002819037924662166, + "loss": 2.3023, + "step": 4783 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028170442237469866, + "loss": 2.3982, + "step": 4784 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028150509515527725, + "loss": 2.4695, + "step": 4785 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028130581084709946, + "loss": 2.2552, + "step": 4786 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002811065694893035, + "loss": 2.2976, + "step": 4787 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002809073711210194, + "loss": 2.3209, + "step": 4788 + }, + { + "epoch": 0.66, + "learning_rate": 0.00028070821578136837, + "loss": 2.3396, + "step": 4789 + }, + { + "epoch": 0.66, + "learning_rate": 0.00028050910350946366, + "loss": 2.2937, + "step": 4790 + }, + { + "epoch": 0.66, + "learning_rate": 0.00028031003434441016, + "loss": 2.3168, + "step": 4791 + }, + { + "epoch": 0.66, + "learning_rate": 0.00028011100832530376, + "loss": 2.3415, + "step": 4792 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027991202549123206, + "loss": 2.4487, + "step": 4793 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002797130858812743, + "loss": 2.2611, + "step": 4794 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027951418953450096, + "loss": 2.2543, + "step": 4795 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002793153364899744, + "loss": 2.2677, + "step": 4796 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027911652678674854, + "loss": 2.3036, + "step": 4797 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002789177604638683, + "loss": 2.2426, + "step": 4798 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002787190375603704, + "loss": 2.2993, + "step": 4799 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027852035811528296, + "loss": 2.3128, + "step": 4800 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027832172216762534, + "loss": 2.2319, + "step": 4801 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027812312975640903, + "loss": 2.2601, + "step": 4802 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027792458092063606, + "loss": 2.3245, + "step": 4803 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002777260756993008, + "loss": 2.2773, + "step": 4804 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002775276141313885, + "loss": 2.4616, + "step": 4805 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002773291962558756, + "loss": 2.3802, + "step": 4806 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002771308221117309, + "loss": 2.1916, + "step": 4807 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002769324917379137, + "loss": 2.4142, + "step": 4808 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002767342051733749, + "loss": 2.2606, + "step": 4809 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027653596245705736, + "loss": 2.3673, + "step": 4810 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002763377636278946, + "loss": 2.3175, + "step": 4811 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002761396087248118, + "loss": 2.2691, + "step": 4812 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002759414977867257, + "loss": 2.3258, + "step": 4813 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002757434308525442, + "loss": 2.1638, + "step": 4814 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027554540796116656, + "loss": 2.2534, + "step": 4815 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002753474291514832, + "loss": 2.3881, + "step": 4816 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027514949446237635, + "loss": 2.3717, + "step": 4817 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027495160393271954, + "loss": 2.3538, + "step": 4818 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002747537576013772, + "loss": 2.2093, + "step": 4819 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027455595550720526, + "loss": 2.3677, + "step": 4820 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002743581976890511, + "loss": 2.3402, + "step": 4821 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027416048418575303, + "loss": 2.2488, + "step": 4822 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027396281503614116, + "loss": 2.3099, + "step": 4823 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002737651902790369, + "loss": 2.2511, + "step": 4824 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002735676099532525, + "loss": 2.4045, + "step": 4825 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027337007409759166, + "loss": 2.3036, + "step": 4826 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002731725827508494, + "loss": 2.2961, + "step": 4827 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002729751359518117, + "loss": 2.3119, + "step": 4828 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002727777337392566, + "loss": 2.4012, + "step": 4829 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002725803761519524, + "loss": 2.3224, + "step": 4830 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027238306322865935, + "loss": 2.3348, + "step": 4831 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002721857950081287, + "loss": 2.3458, + "step": 4832 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002719885715291027, + "loss": 2.3837, + "step": 4833 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027179139283031484, + "loss": 2.4134, + "step": 4834 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027159425895049045, + "loss": 2.2877, + "step": 4835 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027139716992834515, + "loss": 2.232, + "step": 4836 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002712001258025865, + "loss": 2.3583, + "step": 4837 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027100312661191287, + "loss": 2.4633, + "step": 4838 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002708061723950135, + "loss": 2.3244, + "step": 4839 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027060926319056954, + "loss": 2.2213, + "step": 4840 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027041239903725293, + "loss": 2.3928, + "step": 4841 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027021557997372657, + "loss": 2.2284, + "step": 4842 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002700188060386446, + "loss": 2.4131, + "step": 4843 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002698220772706525, + "loss": 2.2497, + "step": 4844 + }, + { + "epoch": 0.66, + "learning_rate": 0.00026962539370838697, + "loss": 2.3744, + "step": 4845 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002694287553904754, + "loss": 2.411, + "step": 4846 + }, + { + "epoch": 0.66, + "learning_rate": 0.00026923216235553657, + "loss": 2.3257, + "step": 4847 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002690356146421803, + "loss": 2.4488, + "step": 4848 + }, + { + "epoch": 0.66, + "learning_rate": 0.00026883911228900724, + "loss": 2.4, + "step": 4849 + }, + { + "epoch": 0.66, + "learning_rate": 0.00026864265533460975, + "loss": 2.1863, + "step": 4850 + }, + { + "epoch": 0.66, + "learning_rate": 0.000268446243817571, + "loss": 2.3234, + "step": 4851 + }, + { + "epoch": 0.66, + "learning_rate": 0.00026824987777646504, + "loss": 2.358, + "step": 4852 + }, + { + "epoch": 0.66, + "learning_rate": 0.00026805355724985713, + "loss": 2.2826, + "step": 4853 + }, + { + "epoch": 0.66, + "learning_rate": 0.00026785728227630355, + "loss": 2.3433, + "step": 4854 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002676610528943516, + "loss": 2.2789, + "step": 4855 + }, + { + "epoch": 0.66, + "learning_rate": 0.00026746486914253987, + "loss": 2.401, + "step": 4856 + }, + { + "epoch": 0.66, + "learning_rate": 0.00026726873105939756, + "loss": 2.3211, + "step": 4857 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002670726386834456, + "loss": 2.4667, + "step": 4858 + }, + { + "epoch": 0.66, + "learning_rate": 0.00026687659205319503, + "loss": 2.2207, + "step": 4859 + }, + { + "epoch": 0.66, + "learning_rate": 0.00026668059120714865, + "loss": 2.2868, + "step": 4860 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002664846361837997, + "loss": 2.3538, + "step": 4861 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002662887270216331, + "loss": 2.2318, + "step": 4862 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026609286375912396, + "loss": 2.3216, + "step": 4863 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026589704643473916, + "loss": 2.2461, + "step": 4864 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002657012750869361, + "loss": 2.252, + "step": 4865 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002655055497541629, + "loss": 2.1799, + "step": 4866 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002653098704748595, + "loss": 2.4322, + "step": 4867 + }, + { + "epoch": 0.67, + "learning_rate": 0.000265114237287456, + "loss": 2.5183, + "step": 4868 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026491865023037356, + "loss": 2.3753, + "step": 4869 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026472310934202477, + "loss": 2.3601, + "step": 4870 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026452761466081256, + "loss": 2.1116, + "step": 4871 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002643321662251313, + "loss": 2.1349, + "step": 4872 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026413676407336593, + "loss": 2.3936, + "step": 4873 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026394140824389237, + "loss": 2.2268, + "step": 4874 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002637460987750775, + "loss": 2.261, + "step": 4875 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026355083570527883, + "loss": 2.4808, + "step": 4876 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026335561907284524, + "loss": 2.2638, + "step": 4877 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026316044891611627, + "loss": 2.3532, + "step": 4878 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002629653252734224, + "loss": 2.311, + "step": 4879 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002627702481830846, + "loss": 2.4125, + "step": 4880 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002625752176834152, + "loss": 2.2996, + "step": 4881 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002623802338127168, + "loss": 2.3128, + "step": 4882 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026218529660928353, + "loss": 2.3472, + "step": 4883 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026199040611140013, + "loss": 2.1899, + "step": 4884 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026179556235734184, + "loss": 2.3183, + "step": 4885 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026160076538537505, + "loss": 2.4493, + "step": 4886 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002614060152337568, + "loss": 2.4058, + "step": 4887 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026121131194073476, + "loss": 2.3551, + "step": 4888 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026101665554454804, + "loss": 2.4105, + "step": 4889 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002608220460834258, + "loss": 2.3023, + "step": 4890 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026062748359558863, + "loss": 2.4022, + "step": 4891 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026043296811924737, + "loss": 2.3096, + "step": 4892 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026023849969260374, + "loss": 2.2365, + "step": 4893 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026004407835385045, + "loss": 2.3538, + "step": 4894 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002598497041411709, + "loss": 2.4398, + "step": 4895 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002596553770927389, + "loss": 2.2964, + "step": 4896 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002594610972467196, + "loss": 2.4253, + "step": 4897 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025926686464126827, + "loss": 2.1776, + "step": 4898 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025907267931453106, + "loss": 2.2883, + "step": 4899 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025887854130464535, + "loss": 2.3642, + "step": 4900 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002586844506497386, + "loss": 2.2244, + "step": 4901 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025849040738792906, + "loss": 2.355, + "step": 4902 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025829641155732585, + "loss": 2.1202, + "step": 4903 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002581024631960287, + "loss": 2.4955, + "step": 4904 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025790856234212843, + "loss": 2.3656, + "step": 4905 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025771470903370575, + "loss": 2.2067, + "step": 4906 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002575209033088326, + "loss": 2.3655, + "step": 4907 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002573271452055712, + "loss": 2.4017, + "step": 4908 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002571334347619746, + "loss": 2.4072, + "step": 4909 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002569397720160867, + "loss": 2.457, + "step": 4910 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025674615700594196, + "loss": 2.2752, + "step": 4911 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025655258976956506, + "loss": 2.3632, + "step": 4912 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002563590703449718, + "loss": 2.4499, + "step": 4913 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002561655987701682, + "loss": 2.3807, + "step": 4914 + }, + { + "epoch": 0.67, + "learning_rate": 0.000255972175083151, + "loss": 2.4374, + "step": 4915 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002557787993219078, + "loss": 2.2541, + "step": 4916 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025558547152441626, + "loss": 2.3496, + "step": 4917 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025539219172864534, + "loss": 2.3244, + "step": 4918 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002551989599725541, + "loss": 2.4433, + "step": 4919 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002550057762940918, + "loss": 2.3529, + "step": 4920 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002548126407311993, + "loss": 2.1807, + "step": 4921 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002546195533218071, + "loss": 2.434, + "step": 4922 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002544265141038363, + "loss": 2.1156, + "step": 4923 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025423352311519925, + "loss": 2.2734, + "step": 4924 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002540405803937982, + "loss": 2.4762, + "step": 4925 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025384768597752573, + "loss": 2.2328, + "step": 4926 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025365483990426584, + "loss": 2.2674, + "step": 4927 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002534620422118922, + "loss": 2.3065, + "step": 4928 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025326929293826916, + "loss": 2.3824, + "step": 4929 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002530765921212519, + "loss": 2.5382, + "step": 4930 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002528839397986855, + "loss": 2.2831, + "step": 4931 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002526913360084063, + "loss": 2.306, + "step": 4932 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002524987807882404, + "loss": 2.2013, + "step": 4933 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002523062741760047, + "loss": 2.3308, + "step": 4934 + }, + { + "epoch": 0.68, + "learning_rate": 0.00025211381620950644, + "loss": 2.4063, + "step": 4935 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002519214069265432, + "loss": 2.4322, + "step": 4936 + }, + { + "epoch": 0.68, + "learning_rate": 0.00025172904636490325, + "loss": 2.3022, + "step": 4937 + }, + { + "epoch": 0.68, + "learning_rate": 0.00025153673456236543, + "loss": 2.3993, + "step": 4938 + }, + { + "epoch": 0.68, + "learning_rate": 0.00025134447155669855, + "loss": 2.1668, + "step": 4939 + }, + { + "epoch": 0.68, + "learning_rate": 0.00025115225738566203, + "loss": 2.2317, + "step": 4940 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002509600920870058, + "loss": 2.3436, + "step": 4941 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002507679756984699, + "loss": 2.2415, + "step": 4942 + }, + { + "epoch": 0.68, + "learning_rate": 0.000250575908257785, + "loss": 2.2817, + "step": 4943 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002503838898026726, + "loss": 2.2997, + "step": 4944 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002501919203708437, + "loss": 2.1394, + "step": 4945 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002500000000000001, + "loss": 2.3058, + "step": 4946 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002498081287278338, + "loss": 2.3215, + "step": 4947 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002496163065920278, + "loss": 2.2536, + "step": 4948 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002494245336302545, + "loss": 2.4102, + "step": 4949 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024923280988017714, + "loss": 2.1284, + "step": 4950 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024904113537944954, + "loss": 2.337, + "step": 4951 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002488495101657154, + "loss": 2.2246, + "step": 4952 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002486579342766086, + "loss": 2.2378, + "step": 4953 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024846640774975413, + "loss": 2.3557, + "step": 4954 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024827493062276655, + "loss": 2.2743, + "step": 4955 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024808350293325083, + "loss": 2.4752, + "step": 4956 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002478921247188026, + "loss": 2.1767, + "step": 4957 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024770079601700725, + "loss": 2.469, + "step": 4958 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002475095168654411, + "loss": 2.5084, + "step": 4959 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002473182873016701, + "loss": 2.3667, + "step": 4960 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002471271073632508, + "loss": 2.3067, + "step": 4961 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024693597708772995, + "loss": 2.3954, + "step": 4962 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002467448965126443, + "loss": 2.2389, + "step": 4963 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002465538656755212, + "loss": 2.2567, + "step": 4964 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002463628846138783, + "loss": 2.2928, + "step": 4965 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024617195336522324, + "loss": 2.4593, + "step": 4966 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002459810719670537, + "loss": 2.3824, + "step": 4967 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002457902404568579, + "loss": 2.3707, + "step": 4968 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002455994588721138, + "loss": 2.3861, + "step": 4969 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002454087272502903, + "loss": 2.1905, + "step": 4970 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002452180456288461, + "loss": 2.2301, + "step": 4971 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024502741404523, + "loss": 2.4119, + "step": 4972 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024483683253688086, + "loss": 2.3572, + "step": 4973 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002446463011412281, + "loss": 2.3008, + "step": 4974 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002444558198956907, + "loss": 2.3767, + "step": 4975 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024426538883767866, + "loss": 2.2107, + "step": 4976 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002440750080045912, + "loss": 2.3508, + "step": 4977 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024388467743381853, + "loss": 2.3702, + "step": 4978 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024369439716274033, + "loss": 2.3465, + "step": 4979 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024350416722872654, + "loss": 2.1966, + "step": 4980 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024331398766913755, + "loss": 2.3678, + "step": 4981 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024312385852132351, + "loss": 2.2859, + "step": 4982 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002429337798226246, + "loss": 2.3159, + "step": 4983 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024274375161037164, + "loss": 2.3017, + "step": 4984 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024255377392188476, + "loss": 2.2339, + "step": 4985 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024236384679447498, + "loss": 2.2465, + "step": 4986 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002421739702654428, + "loss": 2.2053, + "step": 4987 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024198414437207893, + "loss": 2.33, + "step": 4988 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024179436915166424, + "loss": 2.2158, + "step": 4989 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002416046446414693, + "loss": 2.2683, + "step": 4990 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024141497087875526, + "loss": 2.4517, + "step": 4991 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024122534790077315, + "loss": 2.2116, + "step": 4992 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024103577574476388, + "loss": 2.1653, + "step": 4993 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024084625444795827, + "loss": 2.3678, + "step": 4994 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024065678404757736, + "loss": 2.2297, + "step": 4995 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002404673645808319, + "loss": 2.307, + "step": 4996 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024027799608492318, + "loss": 2.3411, + "step": 4997 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002400886785970422, + "loss": 2.3086, + "step": 4998 + }, + { + "epoch": 0.68, + "learning_rate": 0.00023989941215436984, + "loss": 2.2623, + "step": 4999 + }, + { + "epoch": 0.68, + "learning_rate": 0.000239710196794077, + "loss": 2.4068, + "step": 5000 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002395210325533246, + "loss": 2.4356, + "step": 5001 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002393319194692632, + "loss": 2.3133, + "step": 5002 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002391428575790341, + "loss": 2.2056, + "step": 5003 + }, + { + "epoch": 0.68, + "learning_rate": 0.00023895384691976763, + "loss": 2.1729, + "step": 5004 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002387648875285849, + "loss": 2.165, + "step": 5005 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002385759794425963, + "loss": 2.2996, + "step": 5006 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023838712269890218, + "loss": 2.4317, + "step": 5007 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023819831733459346, + "loss": 2.3448, + "step": 5008 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023800956338675022, + "loss": 2.4547, + "step": 5009 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023782086089244264, + "loss": 2.4029, + "step": 5010 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023763220988873125, + "loss": 2.293, + "step": 5011 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023744361041266572, + "loss": 2.4305, + "step": 5012 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002372550625012863, + "loss": 2.3799, + "step": 5013 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023706656619162274, + "loss": 2.3852, + "step": 5014 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002368781215206946, + "loss": 2.3068, + "step": 5015 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023668972852551134, + "loss": 2.2744, + "step": 5016 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023650138724307264, + "loss": 2.1804, + "step": 5017 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023631309771036734, + "loss": 2.4375, + "step": 5018 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023612485996437498, + "loss": 2.3109, + "step": 5019 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002359366740420642, + "loss": 2.3017, + "step": 5020 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023574853998039374, + "loss": 2.277, + "step": 5021 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023556045781631212, + "loss": 2.4778, + "step": 5022 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023537242758675747, + "loss": 2.3589, + "step": 5023 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023518444932865823, + "loss": 2.1876, + "step": 5024 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023499652307893237, + "loss": 2.3076, + "step": 5025 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023480864887448754, + "loss": 2.3458, + "step": 5026 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023462082675222118, + "loss": 2.3372, + "step": 5027 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002344330567490206, + "loss": 2.2779, + "step": 5028 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023424533890176264, + "loss": 2.1685, + "step": 5029 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023405767324731426, + "loss": 2.2748, + "step": 5030 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002338700598225322, + "loss": 2.4194, + "step": 5031 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023368249866426256, + "loss": 2.2649, + "step": 5032 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023349498980934137, + "loss": 2.4286, + "step": 5033 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002333075332945941, + "loss": 2.2273, + "step": 5034 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023312012915683672, + "loss": 2.4121, + "step": 5035 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023293277743287417, + "loss": 2.2677, + "step": 5036 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023274547815950114, + "loss": 2.3538, + "step": 5037 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023255823137350264, + "loss": 2.3606, + "step": 5038 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002323710371116527, + "loss": 2.2628, + "step": 5039 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023218389541071504, + "loss": 2.2348, + "step": 5040 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023199680630744385, + "loss": 2.1799, + "step": 5041 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023180976983858215, + "loss": 2.2469, + "step": 5042 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023162278604086267, + "loss": 2.4135, + "step": 5043 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023143585495100856, + "loss": 2.3295, + "step": 5044 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023124897660573157, + "loss": 2.3806, + "step": 5045 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023106215104173406, + "loss": 2.3296, + "step": 5046 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023087537829570744, + "loss": 2.2556, + "step": 5047 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023068865840433284, + "loss": 2.3473, + "step": 5048 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023050199140428102, + "loss": 2.3368, + "step": 5049 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002303153773322123, + "loss": 2.2496, + "step": 5050 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023012881622477678, + "loss": 2.4278, + "step": 5051 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022994230811861432, + "loss": 2.3894, + "step": 5052 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022975585305035396, + "loss": 2.3158, + "step": 5053 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022956945105661447, + "loss": 2.3228, + "step": 5054 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002293831021740042, + "loss": 2.2522, + "step": 5055 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002291968064391209, + "loss": 2.2666, + "step": 5056 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022901056388855223, + "loss": 2.4652, + "step": 5057 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002288243745588755, + "loss": 2.3491, + "step": 5058 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022863823848665705, + "loss": 2.1228, + "step": 5059 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022845215570845302, + "loss": 2.4283, + "step": 5060 + }, + { + "epoch": 0.69, + "learning_rate": 0.000228266126260809, + "loss": 2.3293, + "step": 5061 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002280801501802604, + "loss": 2.4017, + "step": 5062 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022789422750333195, + "loss": 2.3374, + "step": 5063 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022770835826653747, + "loss": 2.2251, + "step": 5064 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022752254250638126, + "loss": 2.4515, + "step": 5065 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022733678025935622, + "loss": 2.4659, + "step": 5066 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022715107156194504, + "loss": 2.3995, + "step": 5067 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022696541645062014, + "loss": 2.2858, + "step": 5068 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022677981496184313, + "loss": 2.2328, + "step": 5069 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022659426713206494, + "loss": 2.3609, + "step": 5070 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002264087729977265, + "loss": 2.2858, + "step": 5071 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022622333259525757, + "loss": 2.2916, + "step": 5072 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022603794596107803, + "loss": 2.2513, + "step": 5073 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022585261313159662, + "loss": 2.3644, + "step": 5074 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022566733414321172, + "loss": 2.3789, + "step": 5075 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002254821090323112, + "loss": 2.2634, + "step": 5076 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022529693783527205, + "loss": 2.2416, + "step": 5077 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022511182058846115, + "loss": 2.2319, + "step": 5078 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002249267573282347, + "loss": 2.5264, + "step": 5079 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022474174809093795, + "loss": 2.3389, + "step": 5080 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022455679291290577, + "loss": 2.3662, + "step": 5081 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022437189183046235, + "loss": 2.3169, + "step": 5082 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022418704487992108, + "loss": 2.2274, + "step": 5083 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022400225209758519, + "loss": 2.4103, + "step": 5084 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002238175135197471, + "loss": 2.2433, + "step": 5085 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022363282918268833, + "loss": 2.3374, + "step": 5086 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022344819912267994, + "loss": 2.3203, + "step": 5087 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022326362337598204, + "loss": 2.239, + "step": 5088 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022307910197884485, + "loss": 2.4171, + "step": 5089 + }, + { + "epoch": 0.7, + "learning_rate": 0.000222894634967507, + "loss": 2.2992, + "step": 5090 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022271022237819682, + "loss": 2.3527, + "step": 5091 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022252586424713228, + "loss": 2.3808, + "step": 5092 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002223415606105202, + "loss": 2.2616, + "step": 5093 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022215731150455653, + "loss": 2.3137, + "step": 5094 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022197311696542726, + "loss": 2.2771, + "step": 5095 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022178897702930712, + "loss": 2.2739, + "step": 5096 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022160489173235994, + "loss": 2.4718, + "step": 5097 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022142086111073944, + "loss": 2.26, + "step": 5098 + }, + { + "epoch": 0.7, + "learning_rate": 0.000221236885200588, + "loss": 2.3286, + "step": 5099 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022105296403803775, + "loss": 2.2454, + "step": 5100 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022086909765920982, + "loss": 2.306, + "step": 5101 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022068528610021443, + "loss": 2.3002, + "step": 5102 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022050152939715113, + "loss": 2.318, + "step": 5103 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022031782758610903, + "loss": 2.3243, + "step": 5104 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022013418070316592, + "loss": 2.3344, + "step": 5105 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002199505887843894, + "loss": 2.3489, + "step": 5106 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021976705186583573, + "loss": 2.1885, + "step": 5107 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021958356998355068, + "loss": 2.2462, + "step": 5108 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002194001431735691, + "loss": 2.3405, + "step": 5109 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021921677147191478, + "loss": 2.2129, + "step": 5110 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002190334549146012, + "loss": 2.1413, + "step": 5111 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021885019353763097, + "loss": 2.2451, + "step": 5112 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021866698737699536, + "loss": 2.1622, + "step": 5113 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021848383646867525, + "loss": 2.484, + "step": 5114 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021830074084864038, + "loss": 2.3757, + "step": 5115 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021811770055284968, + "loss": 2.2652, + "step": 5116 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021793471561725136, + "loss": 2.4171, + "step": 5117 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021775178607778302, + "loss": 2.4358, + "step": 5118 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002175689119703707, + "loss": 2.367, + "step": 5119 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021738609333093006, + "loss": 2.5009, + "step": 5120 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021720333019536542, + "loss": 2.2579, + "step": 5121 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021702062259957094, + "loss": 2.2808, + "step": 5122 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021683797057942922, + "loss": 2.3767, + "step": 5123 + }, + { + "epoch": 0.7, + "learning_rate": 0.000216655374170812, + "loss": 2.4424, + "step": 5124 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021647283340958052, + "loss": 2.245, + "step": 5125 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002162903483315845, + "loss": 2.391, + "step": 5126 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002161079189726634, + "loss": 2.3487, + "step": 5127 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002159255453686453, + "loss": 2.3246, + "step": 5128 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021574322755534724, + "loss": 2.4776, + "step": 5129 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002155609655685754, + "loss": 2.2182, + "step": 5130 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021537875944412544, + "loss": 2.3118, + "step": 5131 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021519660921778127, + "loss": 2.2944, + "step": 5132 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021501451492531666, + "loss": 2.3313, + "step": 5133 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021483247660249367, + "loss": 2.2259, + "step": 5134 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002146504942850637, + "loss": 2.3669, + "step": 5135 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021446856800876724, + "loss": 2.2675, + "step": 5136 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021428669780933335, + "loss": 2.3762, + "step": 5137 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021410488372248054, + "loss": 2.3026, + "step": 5138 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021392312578391638, + "loss": 2.3495, + "step": 5139 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021374142402933694, + "loss": 2.2051, + "step": 5140 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021355977849442753, + "loss": 2.294, + "step": 5141 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002133781892148623, + "loss": 2.2029, + "step": 5142 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021319665622630436, + "loss": 2.5058, + "step": 5143 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021301517956440587, + "loss": 2.4202, + "step": 5144 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021283375926480814, + "loss": 2.2856, + "step": 5145 + }, + { + "epoch": 0.7, + "learning_rate": 0.000212652395363141, + "loss": 2.156, + "step": 5146 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021247108789502334, + "loss": 2.2811, + "step": 5147 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021228983689606279, + "loss": 2.2035, + "step": 5148 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021210864240185645, + "loss": 2.2736, + "step": 5149 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002119275044479898, + "loss": 2.1603, + "step": 5150 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021174642307003716, + "loss": 2.3272, + "step": 5151 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021156539830356237, + "loss": 2.2779, + "step": 5152 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002113844301841175, + "loss": 2.1892, + "step": 5153 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002112035187472436, + "loss": 2.2321, + "step": 5154 + }, + { + "epoch": 0.71, + "learning_rate": 0.00021102266402847104, + "loss": 2.3389, + "step": 5155 + }, + { + "epoch": 0.71, + "learning_rate": 0.00021084186606331858, + "loss": 2.3425, + "step": 5156 + }, + { + "epoch": 0.71, + "learning_rate": 0.00021066112488729377, + "loss": 2.3379, + "step": 5157 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002104804405358936, + "loss": 2.2387, + "step": 5158 + }, + { + "epoch": 0.71, + "learning_rate": 0.00021029981304460316, + "loss": 2.3124, + "step": 5159 + }, + { + "epoch": 0.71, + "learning_rate": 0.00021011924244889713, + "loss": 2.2688, + "step": 5160 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020993872878423837, + "loss": 2.3049, + "step": 5161 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020975827208607884, + "loss": 2.2088, + "step": 5162 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020957787238985932, + "loss": 2.4357, + "step": 5163 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020939752973100906, + "loss": 2.3288, + "step": 5164 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020921724414494676, + "loss": 2.1753, + "step": 5165 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002090370156670796, + "loss": 2.2443, + "step": 5166 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020885684433280332, + "loss": 2.3303, + "step": 5167 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020867673017750272, + "loss": 2.2078, + "step": 5168 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002084966732365512, + "loss": 2.3051, + "step": 5169 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020831667354531076, + "loss": 2.3732, + "step": 5170 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020813673113913268, + "loss": 2.2036, + "step": 5171 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002079568460533568, + "loss": 2.2053, + "step": 5172 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020777701832331143, + "loss": 2.4301, + "step": 5173 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002075972479843138, + "loss": 2.2405, + "step": 5174 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020741753507166967, + "loss": 2.3172, + "step": 5175 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020723787962067402, + "loss": 2.3855, + "step": 5176 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002070582816666101, + "loss": 2.2792, + "step": 5177 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020687874124474987, + "loss": 2.4027, + "step": 5178 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020669925839035435, + "loss": 2.3084, + "step": 5179 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020651983313867297, + "loss": 2.3321, + "step": 5180 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020634046552494363, + "loss": 2.2443, + "step": 5181 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020616115558439357, + "loss": 2.3244, + "step": 5182 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020598190335223817, + "loss": 2.2456, + "step": 5183 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020580270886368134, + "loss": 2.2883, + "step": 5184 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020562357215391641, + "loss": 2.2466, + "step": 5185 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020544449325812447, + "loss": 2.1847, + "step": 5186 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020526547221147602, + "loss": 2.3124, + "step": 5187 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020508650904912967, + "loss": 2.3649, + "step": 5188 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002049076038062328, + "loss": 2.3633, + "step": 5189 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020472875651792138, + "loss": 2.4867, + "step": 5190 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020454996721932034, + "loss": 2.2367, + "step": 5191 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020437123594554263, + "loss": 2.3428, + "step": 5192 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020419256273169047, + "loss": 2.3343, + "step": 5193 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020401394761285414, + "loss": 2.2954, + "step": 5194 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002038353906241127, + "loss": 2.347, + "step": 5195 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020365689180053387, + "loss": 2.2547, + "step": 5196 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020347845117717363, + "loss": 2.2324, + "step": 5197 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020330006878907698, + "loss": 2.2978, + "step": 5198 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020312174467127742, + "loss": 2.381, + "step": 5199 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020294347885879672, + "loss": 2.3519, + "step": 5200 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020276527138664535, + "loss": 2.2245, + "step": 5201 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020258712228982207, + "loss": 2.1811, + "step": 5202 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020240903160331487, + "loss": 2.3166, + "step": 5203 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020223099936209944, + "loss": 2.2612, + "step": 5204 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002020530256011407, + "loss": 2.3261, + "step": 5205 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020187511035539153, + "loss": 2.3178, + "step": 5206 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020169725365979364, + "loss": 2.2701, + "step": 5207 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020151945554927692, + "loss": 2.3867, + "step": 5208 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020134171605876034, + "loss": 2.3316, + "step": 5209 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002011640352231508, + "loss": 2.1882, + "step": 5210 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002009864130773437, + "loss": 2.2139, + "step": 5211 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002008088496562235, + "loss": 2.321, + "step": 5212 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020063134499466228, + "loss": 2.3581, + "step": 5213 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020045389912752145, + "loss": 2.193, + "step": 5214 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002002765120896502, + "loss": 2.1865, + "step": 5215 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002000991839158864, + "loss": 2.3563, + "step": 5216 + }, + { + "epoch": 0.71, + "learning_rate": 0.00019992191464105624, + "loss": 2.3324, + "step": 5217 + }, + { + "epoch": 0.71, + "learning_rate": 0.00019974470429997483, + "loss": 2.2723, + "step": 5218 + }, + { + "epoch": 0.71, + "learning_rate": 0.00019956755292744487, + "loss": 2.2985, + "step": 5219 + }, + { + "epoch": 0.71, + "learning_rate": 0.0001993904605582585, + "loss": 2.2065, + "step": 5220 + }, + { + "epoch": 0.71, + "learning_rate": 0.00019921342722719538, + "loss": 2.1528, + "step": 5221 + }, + { + "epoch": 0.71, + "learning_rate": 0.000199036452969024, + "loss": 2.4437, + "step": 5222 + }, + { + "epoch": 0.71, + "learning_rate": 0.00019885953781850115, + "loss": 2.4087, + "step": 5223 + }, + { + "epoch": 0.71, + "learning_rate": 0.00019868268181037185, + "loss": 2.2267, + "step": 5224 + }, + { + "epoch": 0.71, + "learning_rate": 0.0001985058849793699, + "loss": 2.1983, + "step": 5225 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019832914736021734, + "loss": 2.2624, + "step": 5226 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019815246898762445, + "loss": 2.4118, + "step": 5227 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001979758498962898, + "loss": 2.3439, + "step": 5228 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019779929012090042, + "loss": 2.2963, + "step": 5229 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001976227896961319, + "loss": 2.3694, + "step": 5230 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001974463486566478, + "loss": 2.1517, + "step": 5231 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019726996703710043, + "loss": 2.3367, + "step": 5232 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001970936448721301, + "loss": 2.2064, + "step": 5233 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019691738219636552, + "loss": 2.2738, + "step": 5234 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019674117904442363, + "loss": 2.2642, + "step": 5235 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019656503545091003, + "loss": 2.2979, + "step": 5236 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019638895145041835, + "loss": 2.3661, + "step": 5237 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019621292707753025, + "loss": 2.208, + "step": 5238 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019603696236681646, + "loss": 2.4285, + "step": 5239 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001958610573528351, + "loss": 2.3388, + "step": 5240 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019568521207013334, + "loss": 2.3468, + "step": 5241 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001955094265532461, + "loss": 2.2149, + "step": 5242 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001953337008366967, + "loss": 2.3896, + "step": 5243 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019515803495499662, + "loss": 2.2212, + "step": 5244 + }, + { + "epoch": 0.72, + "learning_rate": 0.000194982428942646, + "loss": 2.4093, + "step": 5245 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019480688283413263, + "loss": 2.2445, + "step": 5246 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019463139666393316, + "loss": 2.3358, + "step": 5247 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019445597046651198, + "loss": 2.3304, + "step": 5248 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019428060427632181, + "loss": 2.2868, + "step": 5249 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019410529812780375, + "loss": 2.2292, + "step": 5250 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019393005205538678, + "loss": 2.32, + "step": 5251 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001937548660934884, + "loss": 2.292, + "step": 5252 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019357974027651452, + "loss": 2.3381, + "step": 5253 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019340467463885863, + "loss": 2.3969, + "step": 5254 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019322966921490276, + "loss": 2.3514, + "step": 5255 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001930547240390171, + "loss": 2.389, + "step": 5256 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019287983914555962, + "loss": 2.3493, + "step": 5257 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019270501456887708, + "loss": 2.3115, + "step": 5258 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019253025034330425, + "loss": 2.1419, + "step": 5259 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019235554650316372, + "loss": 2.318, + "step": 5260 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001921809030827664, + "loss": 2.2856, + "step": 5261 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019200632011641123, + "loss": 2.3817, + "step": 5262 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001918317976383856, + "loss": 2.2286, + "step": 5263 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019165733568296474, + "loss": 2.3146, + "step": 5264 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019148293428441178, + "loss": 2.3882, + "step": 5265 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019130859347697867, + "loss": 2.3079, + "step": 5266 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019113431329490467, + "loss": 2.4628, + "step": 5267 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019096009377241773, + "loss": 2.3874, + "step": 5268 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019078593494373358, + "loss": 2.3539, + "step": 5269 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001906118368430561, + "loss": 2.3243, + "step": 5270 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019043779950457697, + "loss": 2.3724, + "step": 5271 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019026382296247657, + "loss": 2.2881, + "step": 5272 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019008990725092275, + "loss": 2.267, + "step": 5273 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001899160524040718, + "loss": 2.253, + "step": 5274 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001897422584560678, + "loss": 2.2422, + "step": 5275 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018956852544104304, + "loss": 2.3018, + "step": 5276 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001893948533931174, + "loss": 2.3298, + "step": 5277 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001892212423463997, + "loss": 2.2121, + "step": 5278 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001890476923349858, + "loss": 2.3661, + "step": 5279 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018887420339296036, + "loss": 2.3899, + "step": 5280 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018870077555439548, + "loss": 2.2879, + "step": 5281 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001885274088533515, + "loss": 2.2658, + "step": 5282 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001883541033238767, + "loss": 2.2511, + "step": 5283 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018818085900000725, + "loss": 2.2821, + "step": 5284 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018800767591576757, + "loss": 2.2488, + "step": 5285 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018783455410517004, + "loss": 2.2708, + "step": 5286 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018766149360221468, + "loss": 2.4007, + "step": 5287 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018748849444088977, + "loss": 2.2696, + "step": 5288 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018731555665517114, + "loss": 2.2639, + "step": 5289 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018714268027902325, + "loss": 2.2683, + "step": 5290 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018696986534639777, + "loss": 2.1158, + "step": 5291 + }, + { + "epoch": 0.72, + "learning_rate": 0.000186797111891235, + "loss": 2.2225, + "step": 5292 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018662441994746255, + "loss": 2.3567, + "step": 5293 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018645178954899627, + "loss": 2.2813, + "step": 5294 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018627922072973963, + "loss": 2.3727, + "step": 5295 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018610671352358466, + "loss": 2.3242, + "step": 5296 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018593426796441066, + "loss": 2.2915, + "step": 5297 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018576188408608486, + "loss": 2.1755, + "step": 5298 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001855895619224628, + "loss": 2.255, + "step": 5299 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001854173015073874, + "loss": 2.2547, + "step": 5300 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018524510287468997, + "loss": 2.2007, + "step": 5301 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018507296605818936, + "loss": 2.4416, + "step": 5302 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018490089109169218, + "loss": 2.2657, + "step": 5303 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018472887800899295, + "loss": 2.3202, + "step": 5304 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018455692684387427, + "loss": 2.2047, + "step": 5305 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018438503763010662, + "loss": 2.2712, + "step": 5306 + }, + { + "epoch": 0.73, + "learning_rate": 0.000184213210401448, + "loss": 2.2358, + "step": 5307 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001840414451916443, + "loss": 2.1969, + "step": 5308 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018386974203442934, + "loss": 2.3231, + "step": 5309 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018369810096352475, + "loss": 2.3306, + "step": 5310 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018352652201263965, + "loss": 2.3073, + "step": 5311 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018335500521547148, + "loss": 2.3398, + "step": 5312 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001831835506057054, + "loss": 2.3288, + "step": 5313 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018301215821701406, + "loss": 2.2709, + "step": 5314 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001828408280830579, + "loss": 2.1164, + "step": 5315 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018266956023748522, + "loss": 2.4028, + "step": 5316 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018249835471393234, + "loss": 2.3461, + "step": 5317 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018232721154602284, + "loss": 2.3507, + "step": 5318 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001821561307673687, + "loss": 2.2595, + "step": 5319 + }, + { + "epoch": 0.73, + "learning_rate": 0.000181985112411569, + "loss": 2.2918, + "step": 5320 + }, + { + "epoch": 0.73, + "learning_rate": 0.000181814156512211, + "loss": 2.2777, + "step": 5321 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001816432631028692, + "loss": 2.4013, + "step": 5322 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018147243221710663, + "loss": 2.2961, + "step": 5323 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018130166388847336, + "loss": 2.2371, + "step": 5324 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018113095815050717, + "loss": 2.4054, + "step": 5325 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018096031503673417, + "loss": 2.3921, + "step": 5326 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018078973458066734, + "loss": 2.4337, + "step": 5327 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018061921681580823, + "loss": 2.2715, + "step": 5328 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001804487617756454, + "loss": 2.2291, + "step": 5329 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018027836949365534, + "loss": 2.2888, + "step": 5330 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018010804000330194, + "loss": 2.3073, + "step": 5331 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001799377733380373, + "loss": 2.3527, + "step": 5332 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017976756953130097, + "loss": 2.2181, + "step": 5333 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017959742861651994, + "loss": 2.2086, + "step": 5334 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017942735062710901, + "loss": 2.3604, + "step": 5335 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001792573355964706, + "loss": 2.3834, + "step": 5336 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017908738355799453, + "loss": 2.1913, + "step": 5337 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001789174945450589, + "loss": 2.2619, + "step": 5338 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017874766859102864, + "loss": 2.3183, + "step": 5339 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017857790572925697, + "loss": 2.1898, + "step": 5340 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017840820599308426, + "loss": 2.2657, + "step": 5341 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017823856941583872, + "loss": 2.3431, + "step": 5342 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017806899603083583, + "loss": 2.245, + "step": 5343 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017789948587137926, + "loss": 2.2257, + "step": 5344 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017773003897075956, + "loss": 2.3188, + "step": 5345 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017756065536225557, + "loss": 2.2239, + "step": 5346 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017739133507913314, + "loss": 2.2966, + "step": 5347 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017722207815464591, + "loss": 2.3745, + "step": 5348 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017705288462203483, + "loss": 2.2411, + "step": 5349 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017688375451452897, + "loss": 2.4199, + "step": 5350 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017671468786534434, + "loss": 2.168, + "step": 5351 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001765456847076849, + "loss": 2.2218, + "step": 5352 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017637674507474193, + "loss": 2.231, + "step": 5353 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001762078689996941, + "loss": 2.4799, + "step": 5354 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017603905651570806, + "loss": 2.3346, + "step": 5355 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001758703076559376, + "loss": 2.3678, + "step": 5356 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017570162245352406, + "loss": 2.1156, + "step": 5357 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017553300094159613, + "loss": 2.2687, + "step": 5358 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017536444315327055, + "loss": 2.4389, + "step": 5359 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017519594912165083, + "loss": 2.3176, + "step": 5360 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017502751887982866, + "loss": 2.1128, + "step": 5361 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017485915246088262, + "loss": 2.2501, + "step": 5362 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001746908498978791, + "loss": 2.3358, + "step": 5363 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017452261122387152, + "loss": 2.2726, + "step": 5364 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017435443647190136, + "loss": 2.2145, + "step": 5365 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017418632567499736, + "loss": 2.4008, + "step": 5366 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017401827886617544, + "loss": 2.1729, + "step": 5367 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001738502960784391, + "loss": 2.2638, + "step": 5368 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017368237734477927, + "loss": 2.2417, + "step": 5369 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017351452269817407, + "loss": 2.2422, + "step": 5370 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017334673217158974, + "loss": 2.2141, + "step": 5371 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017317900579797902, + "loss": 2.1708, + "step": 5372 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017301134361028282, + "loss": 2.2913, + "step": 5373 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017284374564142897, + "loss": 2.1881, + "step": 5374 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017267621192433274, + "loss": 2.2829, + "step": 5375 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017250874249189686, + "loss": 2.3477, + "step": 5376 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017234133737701162, + "loss": 2.2302, + "step": 5377 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017217399661255428, + "loss": 2.3919, + "step": 5378 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001720067202313899, + "loss": 2.3422, + "step": 5379 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017183950826637063, + "loss": 2.2181, + "step": 5380 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017167236075033576, + "loss": 2.4699, + "step": 5381 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017150527771611258, + "loss": 2.1828, + "step": 5382 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017133825919651507, + "loss": 2.3714, + "step": 5383 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001711713052243448, + "loss": 2.3237, + "step": 5384 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017100441583239057, + "loss": 2.2778, + "step": 5385 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017083759105342882, + "loss": 2.1604, + "step": 5386 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017067083092022273, + "loss": 2.2361, + "step": 5387 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017050413546552346, + "loss": 2.3703, + "step": 5388 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001703375047220689, + "loss": 2.3596, + "step": 5389 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017017093872258453, + "loss": 2.3406, + "step": 5390 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001700044374997828, + "loss": 2.2863, + "step": 5391 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001698380010863639, + "loss": 2.3667, + "step": 5392 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016967162951501513, + "loss": 2.4022, + "step": 5393 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016950532281841092, + "loss": 2.237, + "step": 5394 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016933908102921292, + "loss": 2.3565, + "step": 5395 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016917290418007027, + "loss": 2.3071, + "step": 5396 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001690067923036191, + "loss": 2.4451, + "step": 5397 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001688407454324828, + "loss": 2.2292, + "step": 5398 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016867476359927225, + "loss": 2.1517, + "step": 5399 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016850884683658563, + "loss": 2.229, + "step": 5400 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016834299517700784, + "loss": 2.2447, + "step": 5401 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016817720865311132, + "loss": 2.2916, + "step": 5402 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016801148729745553, + "loss": 2.2973, + "step": 5403 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016784583114258755, + "loss": 2.302, + "step": 5404 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016768024022104105, + "loss": 2.3344, + "step": 5405 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016751471456533763, + "loss": 2.3858, + "step": 5406 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001673492542079853, + "loss": 2.3555, + "step": 5407 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001671838591814796, + "loss": 2.3149, + "step": 5408 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016701852951830353, + "loss": 2.166, + "step": 5409 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016685326525092676, + "loss": 2.3395, + "step": 5410 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016668806641180633, + "loss": 2.3623, + "step": 5411 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016652293303338629, + "loss": 2.3752, + "step": 5412 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016635786514809824, + "loss": 2.3017, + "step": 5413 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016619286278836038, + "loss": 2.234, + "step": 5414 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001660279259865785, + "loss": 2.2862, + "step": 5415 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016586305477514528, + "loss": 2.3161, + "step": 5416 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001656982491864405, + "loss": 2.4115, + "step": 5417 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016553350925283095, + "loss": 2.3373, + "step": 5418 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016536883500667087, + "loss": 2.2015, + "step": 5419 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016520422648030154, + "loss": 2.2401, + "step": 5420 + }, + { + "epoch": 0.74, + "learning_rate": 0.000165039683706051, + "loss": 2.2926, + "step": 5421 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001648752067162347, + "loss": 2.2207, + "step": 5422 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016471079554315494, + "loss": 2.2322, + "step": 5423 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016454645021910102, + "loss": 2.4936, + "step": 5424 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016438217077634998, + "loss": 2.3217, + "step": 5425 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016421795724716497, + "loss": 2.3465, + "step": 5426 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016405380966379702, + "loss": 2.2812, + "step": 5427 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001638897280584837, + "loss": 2.3848, + "step": 5428 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016372571246344974, + "loss": 2.2584, + "step": 5429 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016356176291090679, + "loss": 2.3946, + "step": 5430 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016339787943305402, + "loss": 2.3135, + "step": 5431 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016323406206207686, + "loss": 2.4579, + "step": 5432 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016307031083014867, + "loss": 2.388, + "step": 5433 + }, + { + "epoch": 0.74, + "learning_rate": 0.000162906625769429, + "loss": 2.3885, + "step": 5434 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016274300691206478, + "loss": 2.287, + "step": 5435 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016257945429018977, + "loss": 2.2761, + "step": 5436 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016241596793592516, + "loss": 2.1916, + "step": 5437 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016225254788137844, + "loss": 2.2632, + "step": 5438 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016208919415864475, + "loss": 2.37, + "step": 5439 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016192590679980578, + "loss": 2.2586, + "step": 5440 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016176268583693016, + "loss": 2.3959, + "step": 5441 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016159953130207388, + "loss": 2.3139, + "step": 5442 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016143644322727958, + "loss": 2.215, + "step": 5443 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016127342164457676, + "loss": 2.1494, + "step": 5444 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016111046658598188, + "loss": 2.22, + "step": 5445 + }, + { + "epoch": 0.75, + "learning_rate": 0.00016094757808349865, + "loss": 2.2912, + "step": 5446 + }, + { + "epoch": 0.75, + "learning_rate": 0.00016078475616911758, + "loss": 2.3153, + "step": 5447 + }, + { + "epoch": 0.75, + "learning_rate": 0.00016062200087481606, + "loss": 2.2316, + "step": 5448 + }, + { + "epoch": 0.75, + "learning_rate": 0.00016045931223255817, + "loss": 2.3277, + "step": 5449 + }, + { + "epoch": 0.75, + "learning_rate": 0.00016029669027429517, + "loss": 2.3321, + "step": 5450 + }, + { + "epoch": 0.75, + "learning_rate": 0.000160134135031965, + "loss": 2.2281, + "step": 5451 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015997164653749286, + "loss": 2.1693, + "step": 5452 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001598092248227907, + "loss": 2.1659, + "step": 5453 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015964686991975718, + "loss": 2.5109, + "step": 5454 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015948458186027792, + "loss": 2.3602, + "step": 5455 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015932236067622542, + "loss": 2.0019, + "step": 5456 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015916020639945895, + "loss": 2.2975, + "step": 5457 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015899811906182505, + "loss": 2.2925, + "step": 5458 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015883609869515652, + "loss": 2.3078, + "step": 5459 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015867414533127355, + "loss": 2.194, + "step": 5460 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015851225900198284, + "loss": 2.3459, + "step": 5461 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015835043973907797, + "loss": 2.1703, + "step": 5462 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015818868757433929, + "loss": 2.3274, + "step": 5463 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001580270025395343, + "loss": 2.32, + "step": 5464 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015786538466641676, + "loss": 2.2159, + "step": 5465 + }, + { + "epoch": 0.75, + "learning_rate": 0.000157703833986728, + "loss": 2.3957, + "step": 5466 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015754235053219546, + "loss": 2.3884, + "step": 5467 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015738093433453348, + "loss": 2.1953, + "step": 5468 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015721958542544375, + "loss": 2.1068, + "step": 5469 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015705830383661406, + "loss": 2.1277, + "step": 5470 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015689708959971933, + "loss": 2.2683, + "step": 5471 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015673594274642105, + "loss": 2.2715, + "step": 5472 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015657486330836784, + "loss": 2.2973, + "step": 5473 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015641385131719466, + "loss": 2.2413, + "step": 5474 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015625290680452365, + "loss": 2.4386, + "step": 5475 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015609202980196323, + "loss": 2.3781, + "step": 5476 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015593122034110896, + "loss": 2.282, + "step": 5477 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001557704784535427, + "loss": 2.2264, + "step": 5478 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001556098041708335, + "loss": 2.2558, + "step": 5479 + }, + { + "epoch": 0.75, + "learning_rate": 0.000155449197524537, + "loss": 2.4138, + "step": 5480 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001552886585461955, + "loss": 2.3119, + "step": 5481 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001551281872673379, + "loss": 2.3516, + "step": 5482 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015496778371947996, + "loss": 2.3383, + "step": 5483 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015480744793412393, + "loss": 2.3015, + "step": 5484 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015464717994275918, + "loss": 2.1364, + "step": 5485 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015448697977686116, + "loss": 2.1276, + "step": 5486 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015432684746789272, + "loss": 2.2619, + "step": 5487 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015416678304730285, + "loss": 2.2727, + "step": 5488 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015400678654652728, + "loss": 2.2168, + "step": 5489 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001538468579969884, + "loss": 2.1448, + "step": 5490 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015368699743009557, + "loss": 2.2783, + "step": 5491 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001535272048772443, + "loss": 2.1763, + "step": 5492 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015336748036981729, + "loss": 2.142, + "step": 5493 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001532078239391834, + "loss": 2.2355, + "step": 5494 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015304823561669822, + "loss": 2.1854, + "step": 5495 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015288871543370436, + "loss": 2.355, + "step": 5496 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015272926342153054, + "loss": 2.401, + "step": 5497 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015256987961149234, + "loss": 2.3561, + "step": 5498 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015241056403489167, + "loss": 2.4263, + "step": 5499 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001522513167230176, + "loss": 2.2839, + "step": 5500 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015209213770714524, + "loss": 2.2937, + "step": 5501 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015193302701853672, + "loss": 2.3441, + "step": 5502 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001517739846884404, + "loss": 2.3144, + "step": 5503 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015161501074809137, + "loss": 2.3436, + "step": 5504 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015145610522871106, + "loss": 2.2709, + "step": 5505 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015129726816150792, + "loss": 2.4165, + "step": 5506 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015113849957767682, + "loss": 2.3225, + "step": 5507 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015097979950839892, + "loss": 2.3317, + "step": 5508 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015082116798484203, + "loss": 2.3309, + "step": 5509 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001506626050381606, + "loss": 2.408, + "step": 5510 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015050411069949537, + "loss": 2.2511, + "step": 5511 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015034568499997414, + "loss": 2.2388, + "step": 5512 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001501873279707105, + "loss": 2.3598, + "step": 5513 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015002903964280535, + "loss": 2.404, + "step": 5514 + }, + { + "epoch": 0.75, + "learning_rate": 0.00014987082004734538, + "loss": 2.2236, + "step": 5515 + }, + { + "epoch": 0.75, + "learning_rate": 0.00014971266921540415, + "loss": 2.3313, + "step": 5516 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001495545871780416, + "loss": 2.3473, + "step": 5517 + }, + { + "epoch": 0.75, + "learning_rate": 0.00014939657396630435, + "loss": 2.3816, + "step": 5518 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014923862961122508, + "loss": 2.1716, + "step": 5519 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014908075414382362, + "loss": 2.3593, + "step": 5520 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014892294759510566, + "loss": 2.3219, + "step": 5521 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001487652099960634, + "loss": 2.2973, + "step": 5522 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014860754137767607, + "loss": 2.4496, + "step": 5523 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001484499417709087, + "loss": 2.3283, + "step": 5524 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001482924112067129, + "loss": 2.3077, + "step": 5525 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014813494971602714, + "loss": 2.4132, + "step": 5526 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014797755732977593, + "loss": 2.4762, + "step": 5527 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014782023407887, + "loss": 2.3056, + "step": 5528 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001476629799942073, + "loss": 2.1068, + "step": 5529 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014750579510667145, + "loss": 2.2618, + "step": 5530 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001473486794471327, + "loss": 2.2082, + "step": 5531 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001471916330464476, + "loss": 2.4143, + "step": 5532 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014703465593545945, + "loss": 2.2088, + "step": 5533 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014687774814499776, + "loss": 2.3282, + "step": 5534 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014672090970587837, + "loss": 2.3493, + "step": 5535 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014656414064890345, + "loss": 2.2851, + "step": 5536 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001464074410048616, + "loss": 2.3375, + "step": 5537 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001462508108045277, + "loss": 2.3495, + "step": 5538 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014609425007866317, + "loss": 2.3633, + "step": 5539 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001459377588580159, + "loss": 2.2397, + "step": 5540 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014578133717331983, + "loss": 2.2983, + "step": 5541 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014562498505529532, + "loss": 2.2204, + "step": 5542 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014546870253464905, + "loss": 2.2678, + "step": 5543 + }, + { + "epoch": 0.76, + "learning_rate": 0.000145312489642074, + "loss": 2.2162, + "step": 5544 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001451563464082498, + "loss": 2.2726, + "step": 5545 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014500027286384187, + "loss": 2.2497, + "step": 5546 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001448442690395026, + "loss": 2.2999, + "step": 5547 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014468833496587003, + "loss": 2.3403, + "step": 5548 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014453247067356878, + "loss": 2.2711, + "step": 5549 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014437667619320992, + "loss": 2.2485, + "step": 5550 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014422095155539066, + "loss": 2.3126, + "step": 5551 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001440652967906943, + "loss": 2.313, + "step": 5552 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014390971192969088, + "loss": 2.1951, + "step": 5553 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001437541970029363, + "loss": 2.3241, + "step": 5554 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014359875204097273, + "loss": 2.2125, + "step": 5555 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014344337707432902, + "loss": 2.394, + "step": 5556 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014328807213351985, + "loss": 2.1755, + "step": 5557 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001431328372490463, + "loss": 2.2395, + "step": 5558 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014297767245139553, + "loss": 2.2612, + "step": 5559 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014282257777104124, + "loss": 2.3651, + "step": 5560 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001426675532384434, + "loss": 2.2296, + "step": 5561 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001425125988840477, + "loss": 2.2008, + "step": 5562 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001423577147382865, + "loss": 2.3164, + "step": 5563 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014220290083157821, + "loss": 2.4212, + "step": 5564 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014204815719432728, + "loss": 2.4462, + "step": 5565 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001418934838569247, + "loss": 2.1836, + "step": 5566 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001417388808497476, + "loss": 2.37, + "step": 5567 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014158434820315914, + "loss": 2.3235, + "step": 5568 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014142988594750865, + "loss": 2.2884, + "step": 5569 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014127549411313174, + "loss": 2.386, + "step": 5570 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001411211727303499, + "loss": 2.3381, + "step": 5571 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014096692182947147, + "loss": 2.4793, + "step": 5572 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001408127414407901, + "loss": 2.1491, + "step": 5573 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001406586315945864, + "loss": 2.3663, + "step": 5574 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001405045923211265, + "loss": 2.2724, + "step": 5575 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014035062365066293, + "loss": 2.1932, + "step": 5576 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014019672561343415, + "loss": 2.2774, + "step": 5577 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014004289823966526, + "loss": 2.264, + "step": 5578 + }, + { + "epoch": 0.76, + "learning_rate": 0.00013988914155956683, + "loss": 2.2945, + "step": 5579 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001397354556033361, + "loss": 2.3545, + "step": 5580 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001395818404011561, + "loss": 2.3172, + "step": 5581 + }, + { + "epoch": 0.76, + "learning_rate": 0.00013942829598319594, + "loss": 2.1932, + "step": 5582 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001392748223796111, + "loss": 2.2897, + "step": 5583 + }, + { + "epoch": 0.76, + "learning_rate": 0.00013912141962054293, + "loss": 2.2008, + "step": 5584 + }, + { + "epoch": 0.76, + "learning_rate": 0.00013896808773611885, + "loss": 2.1332, + "step": 5585 + }, + { + "epoch": 0.76, + "learning_rate": 0.00013881482675645235, + "loss": 2.3462, + "step": 5586 + }, + { + "epoch": 0.76, + "learning_rate": 0.00013866163671164317, + "loss": 2.4007, + "step": 5587 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001385085176317772, + "loss": 2.2526, + "step": 5588 + }, + { + "epoch": 0.76, + "learning_rate": 0.00013835546954692608, + "loss": 2.3575, + "step": 5589 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001382024924871476, + "loss": 2.3322, + "step": 5590 + }, + { + "epoch": 0.76, + "learning_rate": 0.00013804958648248566, + "loss": 2.424, + "step": 5591 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001378967515629701, + "loss": 2.3008, + "step": 5592 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013774398775861702, + "loss": 2.4001, + "step": 5593 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001375912950994285, + "loss": 2.334, + "step": 5594 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013743867361539248, + "loss": 2.1928, + "step": 5595 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013728612333648298, + "loss": 2.3969, + "step": 5596 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001371336442926601, + "loss": 2.2777, + "step": 5597 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001369812365138698, + "loss": 2.1633, + "step": 5598 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001368289000300444, + "loss": 2.4156, + "step": 5599 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013667663487110173, + "loss": 2.2232, + "step": 5600 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013652444106694605, + "loss": 2.244, + "step": 5601 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013637231864746735, + "loss": 2.2831, + "step": 5602 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001362202676425417, + "loss": 2.2477, + "step": 5603 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013606828808203093, + "loss": 2.4274, + "step": 5604 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013591637999578332, + "loss": 2.1662, + "step": 5605 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013576454341363253, + "loss": 2.2528, + "step": 5606 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001356127783653987, + "loss": 2.2703, + "step": 5607 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013546108488088766, + "loss": 2.2581, + "step": 5608 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013530946298989088, + "loss": 2.2764, + "step": 5609 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013515791272218652, + "loss": 2.1916, + "step": 5610 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001350064341075381, + "loss": 2.3426, + "step": 5611 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013485502717569504, + "loss": 2.1616, + "step": 5612 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001347036919563932, + "loss": 2.3332, + "step": 5613 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013455242847935377, + "loss": 2.2593, + "step": 5614 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013440123677428402, + "loss": 2.3035, + "step": 5615 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013425011687087752, + "loss": 2.2966, + "step": 5616 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013409906879881324, + "loss": 2.2145, + "step": 5617 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013394809258775615, + "loss": 2.234, + "step": 5618 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013379718826735714, + "loss": 2.3281, + "step": 5619 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013364635586725316, + "loss": 2.269, + "step": 5620 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013349559541706696, + "loss": 2.338, + "step": 5621 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013334490694640706, + "loss": 2.2085, + "step": 5622 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013319429048486782, + "loss": 2.191, + "step": 5623 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013304374606202946, + "loss": 2.4, + "step": 5624 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013289327370745801, + "loss": 2.4281, + "step": 5625 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013274287345070563, + "loss": 2.279, + "step": 5626 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013259254532131028, + "loss": 2.2759, + "step": 5627 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001324422893487954, + "loss": 2.3145, + "step": 5628 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013229210556267045, + "loss": 2.328, + "step": 5629 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013214199399243088, + "loss": 2.1769, + "step": 5630 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013199195466755747, + "loss": 2.2342, + "step": 5631 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013184198761751758, + "loss": 2.2186, + "step": 5632 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001316920928717636, + "loss": 2.3398, + "step": 5633 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013154227045973437, + "loss": 2.3376, + "step": 5634 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001313925204108541, + "loss": 2.302, + "step": 5635 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001312428427545327, + "loss": 2.2231, + "step": 5636 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001310932375201664, + "loss": 2.297, + "step": 5637 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013094370473713669, + "loss": 2.3902, + "step": 5638 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013079424443481093, + "loss": 2.2773, + "step": 5639 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013064485664254262, + "loss": 2.2535, + "step": 5640 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001304955413896705, + "loss": 2.1639, + "step": 5641 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001303462987055193, + "loss": 2.3909, + "step": 5642 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013019712861939964, + "loss": 2.2779, + "step": 5643 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013004803116060766, + "loss": 2.3606, + "step": 5644 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012989900635842534, + "loss": 2.3119, + "step": 5645 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001297500542421201, + "loss": 2.2984, + "step": 5646 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012960117484094564, + "loss": 2.1608, + "step": 5647 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012945236818414114, + "loss": 2.1839, + "step": 5648 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012930363430093135, + "loss": 2.1808, + "step": 5649 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012915497322052677, + "loss": 2.2604, + "step": 5650 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012900638497212363, + "loss": 2.2004, + "step": 5651 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001288578695849038, + "loss": 2.3054, + "step": 5652 + }, + { + "epoch": 0.77, + "learning_rate": 0.000128709427088035, + "loss": 2.3598, + "step": 5653 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012856105751067083, + "loss": 2.1546, + "step": 5654 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012841276088194992, + "loss": 2.2174, + "step": 5655 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012826453723099713, + "loss": 2.1115, + "step": 5656 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012811638658692272, + "loss": 2.2265, + "step": 5657 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012796830897882257, + "loss": 2.4576, + "step": 5658 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012782030443577857, + "loss": 2.2453, + "step": 5659 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012767237298685785, + "loss": 2.3613, + "step": 5660 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001275245146611136, + "loss": 2.1884, + "step": 5661 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012737672948758423, + "loss": 2.2712, + "step": 5662 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012722901749529387, + "loss": 2.2396, + "step": 5663 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012708137871325265, + "loss": 2.5159, + "step": 5664 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012693381317045588, + "loss": 2.1699, + "step": 5665 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012678632089588453, + "loss": 2.2751, + "step": 5666 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012663890191850564, + "loss": 2.0731, + "step": 5667 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012649155626727127, + "loss": 2.2217, + "step": 5668 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012634428397111924, + "loss": 2.1641, + "step": 5669 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012619708505897336, + "loss": 2.4128, + "step": 5670 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012604995955974252, + "loss": 2.2722, + "step": 5671 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012590290750232142, + "loss": 2.299, + "step": 5672 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001257559289155901, + "loss": 2.418, + "step": 5673 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012560902382841466, + "loss": 2.3363, + "step": 5674 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001254621922696465, + "loss": 2.3256, + "step": 5675 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012531543426812247, + "loss": 2.1414, + "step": 5676 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001251687498526651, + "loss": 2.3287, + "step": 5677 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012502213905208237, + "loss": 2.3085, + "step": 5678 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012487560189516773, + "loss": 2.1357, + "step": 5679 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012472913841070043, + "loss": 2.306, + "step": 5680 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012458274862744528, + "loss": 2.2089, + "step": 5681 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012443643257415237, + "loss": 2.3687, + "step": 5682 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001242901902795574, + "loss": 2.3352, + "step": 5683 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001241440217723815, + "loss": 2.2841, + "step": 5684 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012399792708133128, + "loss": 2.3879, + "step": 5685 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001238519062350993, + "loss": 2.1798, + "step": 5686 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001237059592623629, + "loss": 2.3593, + "step": 5687 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012356008619178566, + "loss": 2.2845, + "step": 5688 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012341428705201613, + "loss": 2.2375, + "step": 5689 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012326856187168834, + "loss": 2.259, + "step": 5690 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012312291067942215, + "loss": 2.2541, + "step": 5691 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012297733350382267, + "loss": 2.2397, + "step": 5692 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001228318303734803, + "loss": 2.3341, + "step": 5693 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001226864013169713, + "loss": 2.2375, + "step": 5694 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012254104636285712, + "loss": 2.1802, + "step": 5695 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001223957655396845, + "loss": 2.2408, + "step": 5696 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012225055887598612, + "loss": 2.4317, + "step": 5697 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001221054264002797, + "loss": 2.3881, + "step": 5698 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012196036814106831, + "loss": 2.3634, + "step": 5699 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012181538412684096, + "loss": 2.2181, + "step": 5700 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012167047438607138, + "loss": 2.1865, + "step": 5701 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012152563894721935, + "loss": 2.4219, + "step": 5702 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012138087783872975, + "loss": 2.2338, + "step": 5703 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012123619108903284, + "loss": 2.3319, + "step": 5704 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001210915787265443, + "loss": 2.2505, + "step": 5705 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012094704077966512, + "loss": 2.4037, + "step": 5706 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012080257727678196, + "loss": 2.2958, + "step": 5707 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012065818824626673, + "loss": 2.3424, + "step": 5708 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012051387371647665, + "loss": 2.1604, + "step": 5709 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012036963371575427, + "loss": 2.1911, + "step": 5710 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012022546827242758, + "loss": 2.1197, + "step": 5711 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012008137741480974, + "loss": 2.1617, + "step": 5712 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011993736117119964, + "loss": 2.0654, + "step": 5713 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011979341956988133, + "loss": 2.1548, + "step": 5714 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011964955263912414, + "loss": 2.0934, + "step": 5715 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011950576040718275, + "loss": 2.0747, + "step": 5716 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011936204290229725, + "loss": 2.0658, + "step": 5717 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001192184001526927, + "loss": 2.0619, + "step": 5718 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011907483218658022, + "loss": 1.9608, + "step": 5719 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011893133903215542, + "loss": 2.1561, + "step": 5720 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011878792071759991, + "loss": 2.1997, + "step": 5721 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011864457727108014, + "loss": 1.9484, + "step": 5722 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011850130872074788, + "loss": 2.0036, + "step": 5723 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011835811509474059, + "loss": 2.0626, + "step": 5724 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011821499642118061, + "loss": 2.102, + "step": 5725 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011807195272817556, + "loss": 2.0993, + "step": 5726 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011792898404381869, + "loss": 2.1706, + "step": 5727 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011778609039618804, + "loss": 1.9485, + "step": 5728 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011764327181334744, + "loss": 1.9655, + "step": 5729 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011750052832334557, + "loss": 1.9247, + "step": 5730 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011735785995421656, + "loss": 2.0157, + "step": 5731 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011721526673397964, + "loss": 2.0295, + "step": 5732 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011707274869063922, + "loss": 1.9822, + "step": 5733 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011693030585218529, + "loss": 2.1255, + "step": 5734 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011678793824659295, + "loss": 1.9046, + "step": 5735 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011664564590182236, + "loss": 1.9793, + "step": 5736 + }, + { + "epoch": 0.78, + "learning_rate": 0.000116503428845819, + "loss": 1.9749, + "step": 5737 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011636128710651344, + "loss": 2.0015, + "step": 5738 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001162192207118215, + "loss": 2.0746, + "step": 5739 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001160772296896444, + "loss": 2.0896, + "step": 5740 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011593531406786862, + "loss": 2.0359, + "step": 5741 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001157934738743654, + "loss": 1.9605, + "step": 5742 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011565170913699142, + "loss": 2.0175, + "step": 5743 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011551001988358861, + "loss": 1.9248, + "step": 5744 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011536840614198374, + "loss": 1.9898, + "step": 5745 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011522686793998938, + "loss": 2.2308, + "step": 5746 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011508540530540251, + "loss": 1.9775, + "step": 5747 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011494401826600598, + "loss": 2.0779, + "step": 5748 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011480270684956728, + "loss": 1.9684, + "step": 5749 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011466147108383918, + "loss": 2.0127, + "step": 5750 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001145203109965598, + "loss": 2.1591, + "step": 5751 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011437922661545214, + "loss": 2.092, + "step": 5752 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011423821796822425, + "loss": 1.9521, + "step": 5753 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011409728508256983, + "loss": 1.9711, + "step": 5754 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011395642798616718, + "loss": 2.0197, + "step": 5755 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011381564670667976, + "loss": 1.9526, + "step": 5756 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011367494127175654, + "loss": 2.0642, + "step": 5757 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011353431170903123, + "loss": 1.9445, + "step": 5758 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011339375804612262, + "loss": 1.9668, + "step": 5759 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011325328031063464, + "loss": 2.0813, + "step": 5760 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011311287853015651, + "loss": 1.9585, + "step": 5761 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011297255273226254, + "loss": 1.9747, + "step": 5762 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001128323029445118, + "loss": 2.0005, + "step": 5763 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011269212919444866, + "loss": 2.037, + "step": 5764 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011255203150960247, + "loss": 1.9116, + "step": 5765 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001124120099174875, + "loss": 1.9324, + "step": 5766 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001122720644456035, + "loss": 2.032, + "step": 5767 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011213219512143502, + "loss": 2.0169, + "step": 5768 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011199240197245164, + "loss": 2.039, + "step": 5769 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001118526850261079, + "loss": 2.0787, + "step": 5770 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011171304430984352, + "loss": 2.03, + "step": 5771 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011157347985108307, + "loss": 2.1585, + "step": 5772 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001114339916772364, + "loss": 2.0334, + "step": 5773 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011129457981569835, + "loss": 2.0566, + "step": 5774 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011115524429384854, + "loss": 1.9492, + "step": 5775 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011101598513905182, + "loss": 2.0806, + "step": 5776 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011087680237865766, + "loss": 1.9773, + "step": 5777 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011073769604000122, + "loss": 1.948, + "step": 5778 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011059866615040204, + "loss": 2.0847, + "step": 5779 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011045971273716476, + "loss": 2.1178, + "step": 5780 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011032083582757935, + "loss": 2.0707, + "step": 5781 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011018203544892042, + "loss": 2.049, + "step": 5782 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011004331162844739, + "loss": 2.0184, + "step": 5783 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010990466439340518, + "loss": 2.1043, + "step": 5784 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010976609377102331, + "loss": 1.9657, + "step": 5785 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010962759978851616, + "loss": 2.03, + "step": 5786 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010948918247308343, + "loss": 1.8732, + "step": 5787 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001093508418519093, + "loss": 2.0026, + "step": 5788 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010921257795216343, + "loss": 2.0856, + "step": 5789 + }, + { + "epoch": 0.79, + "learning_rate": 0.000109074390801, + "loss": 2.0249, + "step": 5790 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001089362804255582, + "loss": 1.9073, + "step": 5791 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001087982468529622, + "loss": 2.0494, + "step": 5792 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010866029011032086, + "loss": 1.9385, + "step": 5793 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010852241022472836, + "loss": 1.9435, + "step": 5794 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010838460722326371, + "loss": 1.9009, + "step": 5795 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010824688113299053, + "loss": 2.0492, + "step": 5796 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010810923198095757, + "loss": 1.937, + "step": 5797 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010797165979419827, + "loss": 2.0429, + "step": 5798 + }, + { + "epoch": 0.79, + "learning_rate": 0.000107834164599731, + "loss": 2.0845, + "step": 5799 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001076967464245593, + "loss": 1.9321, + "step": 5800 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010755940529567138, + "loss": 1.9732, + "step": 5801 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010742214124004024, + "loss": 1.9601, + "step": 5802 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010728495428462381, + "loss": 2.0176, + "step": 5803 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010714784445636478, + "loss": 2.0571, + "step": 5804 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010701081178219102, + "loss": 1.9507, + "step": 5805 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010687385628901492, + "loss": 2.055, + "step": 5806 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010673697800373361, + "loss": 1.9792, + "step": 5807 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001066001769532296, + "loss": 2.018, + "step": 5808 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010646345316436979, + "loss": 2.096, + "step": 5809 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010632680666400573, + "loss": 1.9958, + "step": 5810 + }, + { + "epoch": 0.8, + "learning_rate": 0.0001061902374789745, + "loss": 2.0751, + "step": 5811 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010605374563609732, + "loss": 1.9961, + "step": 5812 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010591733116218044, + "loss": 1.9856, + "step": 5813 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010578099408401509, + "loss": 2.0158, + "step": 5814 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010564473442837697, + "loss": 2.0055, + "step": 5815 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010550855222202693, + "loss": 1.9365, + "step": 5816 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010537244749171043, + "loss": 2.0282, + "step": 5817 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010523642026415764, + "loss": 1.9073, + "step": 5818 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010510047056608357, + "loss": 2.0535, + "step": 5819 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010496459842418792, + "loss": 2.0064, + "step": 5820 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010482880386515542, + "loss": 2.1013, + "step": 5821 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010469308691565543, + "loss": 2.03, + "step": 5822 + }, + { + "epoch": 0.8, + "learning_rate": 0.0001045574476023421, + "loss": 1.9309, + "step": 5823 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010442188595185403, + "loss": 2.0577, + "step": 5824 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010428640199081502, + "loss": 1.9763, + "step": 5825 + }, + { + "epoch": 0.8, + "learning_rate": 0.0001041509957458332, + "loss": 1.9931, + "step": 5826 + }, + { + "epoch": 0.8, + "learning_rate": 0.0001040156672435017, + "loss": 1.8546, + "step": 5827 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010388041651039859, + "loss": 1.9719, + "step": 5828 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010374524357308613, + "loss": 1.9513, + "step": 5829 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010361014845811168, + "loss": 1.9236, + "step": 5830 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010347513119200696, + "loss": 1.9274, + "step": 5831 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010334019180128901, + "loss": 1.9104, + "step": 5832 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010320533031245905, + "loss": 1.9816, + "step": 5833 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010307054675200306, + "loss": 2.1299, + "step": 5834 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010293584114639199, + "loss": 1.8902, + "step": 5835 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010280121352208128, + "loss": 1.953, + "step": 5836 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010266666390551089, + "loss": 1.8241, + "step": 5837 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010253219232310595, + "loss": 2.0241, + "step": 5838 + }, + { + "epoch": 0.8, + "learning_rate": 0.0001023977988012758, + "loss": 2.0188, + "step": 5839 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010226348336641456, + "loss": 1.9318, + "step": 5840 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010212924604490121, + "loss": 1.9612, + "step": 5841 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010199508686309911, + "loss": 2.0489, + "step": 5842 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010186100584735658, + "loss": 1.9507, + "step": 5843 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010172700302400634, + "loss": 1.9011, + "step": 5844 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010159307841936582, + "loss": 1.8663, + "step": 5845 + }, + { + "epoch": 0.8, + "learning_rate": 0.000101459232059737, + "loss": 1.9436, + "step": 5846 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010132546397140685, + "loss": 1.902, + "step": 5847 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010119177418064646, + "loss": 1.8538, + "step": 5848 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010105816271371199, + "loss": 2.0734, + "step": 5849 + }, + { + "epoch": 0.8, + "learning_rate": 0.000100924629596844, + "loss": 2.1016, + "step": 5850 + }, + { + "epoch": 0.8, + "learning_rate": 0.0001007911748562676, + "loss": 2.0774, + "step": 5851 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010065779851819267, + "loss": 2.0206, + "step": 5852 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010052450060881341, + "loss": 1.8696, + "step": 5853 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010039128115430902, + "loss": 2.0171, + "step": 5854 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010025814018084317, + "loss": 1.7664, + "step": 5855 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010012507771456397, + "loss": 1.8851, + "step": 5856 + }, + { + "epoch": 0.8, + "learning_rate": 9.999209378160412e-05, + "loss": 1.904, + "step": 5857 + }, + { + "epoch": 0.8, + "learning_rate": 9.9859188408081e-05, + "loss": 2.0571, + "step": 5858 + }, + { + "epoch": 0.8, + "learning_rate": 9.97263616200964e-05, + "loss": 2.0306, + "step": 5859 + }, + { + "epoch": 0.8, + "learning_rate": 9.959361344373696e-05, + "loss": 1.9281, + "step": 5860 + }, + { + "epoch": 0.8, + "learning_rate": 9.946094390507376e-05, + "loss": 2.0659, + "step": 5861 + }, + { + "epoch": 0.8, + "learning_rate": 9.93283530301623e-05, + "loss": 1.983, + "step": 5862 + }, + { + "epoch": 0.8, + "learning_rate": 9.919584084504279e-05, + "loss": 1.8753, + "step": 5863 + }, + { + "epoch": 0.8, + "learning_rate": 9.90634073757397e-05, + "loss": 2.0038, + "step": 5864 + }, + { + "epoch": 0.8, + "learning_rate": 9.893105264826257e-05, + "loss": 1.946, + "step": 5865 + }, + { + "epoch": 0.8, + "learning_rate": 9.879877668860504e-05, + "loss": 1.9277, + "step": 5866 + }, + { + "epoch": 0.8, + "learning_rate": 9.866657952274527e-05, + "loss": 2.0334, + "step": 5867 + }, + { + "epoch": 0.8, + "learning_rate": 9.853446117664638e-05, + "loss": 2.0015, + "step": 5868 + }, + { + "epoch": 0.8, + "learning_rate": 9.840242167625535e-05, + "loss": 2.0454, + "step": 5869 + }, + { + "epoch": 0.8, + "learning_rate": 9.827046104750442e-05, + "loss": 2.0107, + "step": 5870 + }, + { + "epoch": 0.8, + "learning_rate": 9.813857931630977e-05, + "loss": 1.9218, + "step": 5871 + }, + { + "epoch": 0.8, + "learning_rate": 9.800677650857226e-05, + "loss": 1.9768, + "step": 5872 + }, + { + "epoch": 0.8, + "learning_rate": 9.787505265017721e-05, + "loss": 1.9319, + "step": 5873 + }, + { + "epoch": 0.8, + "learning_rate": 9.774340776699464e-05, + "loss": 1.9842, + "step": 5874 + }, + { + "epoch": 0.8, + "learning_rate": 9.76118418848787e-05, + "loss": 1.9816, + "step": 5875 + }, + { + "epoch": 0.8, + "learning_rate": 9.748035502966857e-05, + "loss": 2.0435, + "step": 5876 + }, + { + "epoch": 0.8, + "learning_rate": 9.734894722718729e-05, + "loss": 1.8872, + "step": 5877 + }, + { + "epoch": 0.8, + "learning_rate": 9.721761850324279e-05, + "loss": 1.9873, + "step": 5878 + }, + { + "epoch": 0.8, + "learning_rate": 9.708636888362727e-05, + "loss": 1.9757, + "step": 5879 + }, + { + "epoch": 0.8, + "learning_rate": 9.695519839411732e-05, + "loss": 2.0379, + "step": 5880 + }, + { + "epoch": 0.8, + "learning_rate": 9.682410706047429e-05, + "loss": 1.9495, + "step": 5881 + }, + { + "epoch": 0.8, + "learning_rate": 9.669309490844397e-05, + "loss": 1.9231, + "step": 5882 + }, + { + "epoch": 0.8, + "learning_rate": 9.656216196375628e-05, + "loss": 1.97, + "step": 5883 + }, + { + "epoch": 0.81, + "learning_rate": 9.643130825212581e-05, + "loss": 1.927, + "step": 5884 + }, + { + "epoch": 0.81, + "learning_rate": 9.630053379925153e-05, + "loss": 2.1313, + "step": 5885 + }, + { + "epoch": 0.81, + "learning_rate": 9.616983863081663e-05, + "loss": 1.9542, + "step": 5886 + }, + { + "epoch": 0.81, + "learning_rate": 9.603922277248922e-05, + "loss": 1.9093, + "step": 5887 + }, + { + "epoch": 0.81, + "learning_rate": 9.590868624992154e-05, + "loss": 1.9021, + "step": 5888 + }, + { + "epoch": 0.81, + "learning_rate": 9.577822908875028e-05, + "loss": 1.988, + "step": 5889 + }, + { + "epoch": 0.81, + "learning_rate": 9.564785131459647e-05, + "loss": 2.0631, + "step": 5890 + }, + { + "epoch": 0.81, + "learning_rate": 9.551755295306552e-05, + "loss": 1.9839, + "step": 5891 + }, + { + "epoch": 0.81, + "learning_rate": 9.538733402974753e-05, + "loss": 1.9243, + "step": 5892 + }, + { + "epoch": 0.81, + "learning_rate": 9.525719457021675e-05, + "loss": 1.9832, + "step": 5893 + }, + { + "epoch": 0.81, + "learning_rate": 9.512713460003175e-05, + "loss": 1.9512, + "step": 5894 + }, + { + "epoch": 0.81, + "learning_rate": 9.49971541447358e-05, + "loss": 2.0177, + "step": 5895 + }, + { + "epoch": 0.81, + "learning_rate": 9.486725322985634e-05, + "loss": 2.0876, + "step": 5896 + }, + { + "epoch": 0.81, + "learning_rate": 9.473743188090506e-05, + "loss": 1.9684, + "step": 5897 + }, + { + "epoch": 0.81, + "learning_rate": 9.460769012337839e-05, + "loss": 2.0586, + "step": 5898 + }, + { + "epoch": 0.81, + "learning_rate": 9.447802798275684e-05, + "loss": 1.9342, + "step": 5899 + }, + { + "epoch": 0.81, + "learning_rate": 9.434844548450527e-05, + "loss": 1.8763, + "step": 5900 + }, + { + "epoch": 0.81, + "learning_rate": 9.421894265407322e-05, + "loss": 2.0743, + "step": 5901 + }, + { + "epoch": 0.81, + "learning_rate": 9.408951951689409e-05, + "loss": 1.8863, + "step": 5902 + }, + { + "epoch": 0.81, + "learning_rate": 9.39601760983862e-05, + "loss": 1.9319, + "step": 5903 + }, + { + "epoch": 0.81, + "learning_rate": 9.383091242395176e-05, + "loss": 2.1125, + "step": 5904 + }, + { + "epoch": 0.81, + "learning_rate": 9.370172851897746e-05, + "loss": 1.9764, + "step": 5905 + }, + { + "epoch": 0.81, + "learning_rate": 9.357262440883435e-05, + "loss": 1.9634, + "step": 5906 + }, + { + "epoch": 0.81, + "learning_rate": 9.344360011887771e-05, + "loss": 1.9804, + "step": 5907 + }, + { + "epoch": 0.81, + "learning_rate": 9.331465567444724e-05, + "loss": 1.905, + "step": 5908 + }, + { + "epoch": 0.81, + "learning_rate": 9.318579110086717e-05, + "loss": 1.8979, + "step": 5909 + }, + { + "epoch": 0.81, + "learning_rate": 9.305700642344567e-05, + "loss": 1.8738, + "step": 5910 + }, + { + "epoch": 0.81, + "learning_rate": 9.29283016674754e-05, + "loss": 1.9032, + "step": 5911 + }, + { + "epoch": 0.81, + "learning_rate": 9.27996768582332e-05, + "loss": 2.006, + "step": 5912 + }, + { + "epoch": 0.81, + "learning_rate": 9.267113202098027e-05, + "loss": 1.9181, + "step": 5913 + }, + { + "epoch": 0.81, + "learning_rate": 9.254266718096222e-05, + "loss": 2.0612, + "step": 5914 + }, + { + "epoch": 0.81, + "learning_rate": 9.241428236340903e-05, + "loss": 1.9276, + "step": 5915 + }, + { + "epoch": 0.81, + "learning_rate": 9.228597759353458e-05, + "loss": 1.9504, + "step": 5916 + }, + { + "epoch": 0.81, + "learning_rate": 9.215775289653738e-05, + "loss": 1.8998, + "step": 5917 + }, + { + "epoch": 0.81, + "learning_rate": 9.202960829759981e-05, + "loss": 1.9592, + "step": 5918 + }, + { + "epoch": 0.81, + "learning_rate": 9.19015438218892e-05, + "loss": 2.0897, + "step": 5919 + }, + { + "epoch": 0.81, + "learning_rate": 9.177355949455651e-05, + "loss": 2.08, + "step": 5920 + }, + { + "epoch": 0.81, + "learning_rate": 9.164565534073705e-05, + "loss": 1.9125, + "step": 5921 + }, + { + "epoch": 0.81, + "learning_rate": 9.151783138555082e-05, + "loss": 1.9874, + "step": 5922 + }, + { + "epoch": 0.81, + "learning_rate": 9.139008765410162e-05, + "loss": 1.9703, + "step": 5923 + }, + { + "epoch": 0.81, + "learning_rate": 9.12624241714775e-05, + "loss": 1.8429, + "step": 5924 + }, + { + "epoch": 0.81, + "learning_rate": 9.113484096275115e-05, + "loss": 2.0233, + "step": 5925 + }, + { + "epoch": 0.81, + "learning_rate": 9.100733805297917e-05, + "loss": 1.9074, + "step": 5926 + }, + { + "epoch": 0.81, + "learning_rate": 9.087991546720226e-05, + "loss": 1.8915, + "step": 5927 + }, + { + "epoch": 0.81, + "learning_rate": 9.075257323044583e-05, + "loss": 1.9219, + "step": 5928 + }, + { + "epoch": 0.81, + "learning_rate": 9.062531136771896e-05, + "loss": 1.9873, + "step": 5929 + }, + { + "epoch": 0.81, + "learning_rate": 9.049812990401546e-05, + "loss": 1.9549, + "step": 5930 + }, + { + "epoch": 0.81, + "learning_rate": 9.037102886431298e-05, + "loss": 1.9911, + "step": 5931 + }, + { + "epoch": 0.81, + "learning_rate": 9.024400827357343e-05, + "loss": 2.0086, + "step": 5932 + }, + { + "epoch": 0.81, + "learning_rate": 9.011706815674298e-05, + "loss": 1.9718, + "step": 5933 + }, + { + "epoch": 0.81, + "learning_rate": 8.999020853875211e-05, + "loss": 1.8621, + "step": 5934 + }, + { + "epoch": 0.81, + "learning_rate": 8.98634294445152e-05, + "loss": 1.9764, + "step": 5935 + }, + { + "epoch": 0.81, + "learning_rate": 8.973673089893131e-05, + "loss": 1.9768, + "step": 5936 + }, + { + "epoch": 0.81, + "learning_rate": 8.961011292688309e-05, + "loss": 1.984, + "step": 5937 + }, + { + "epoch": 0.81, + "learning_rate": 8.948357555323772e-05, + "loss": 1.9239, + "step": 5938 + }, + { + "epoch": 0.81, + "learning_rate": 8.935711880284653e-05, + "loss": 2.0647, + "step": 5939 + }, + { + "epoch": 0.81, + "learning_rate": 8.923074270054471e-05, + "loss": 2.0093, + "step": 5940 + }, + { + "epoch": 0.81, + "learning_rate": 8.910444727115202e-05, + "loss": 1.9812, + "step": 5941 + }, + { + "epoch": 0.81, + "learning_rate": 8.89782325394724e-05, + "loss": 1.9551, + "step": 5942 + }, + { + "epoch": 0.81, + "learning_rate": 8.885209853029358e-05, + "loss": 1.8858, + "step": 5943 + }, + { + "epoch": 0.81, + "learning_rate": 8.872604526838768e-05, + "loss": 1.9781, + "step": 5944 + }, + { + "epoch": 0.81, + "learning_rate": 8.860007277851062e-05, + "loss": 2.0452, + "step": 5945 + }, + { + "epoch": 0.81, + "learning_rate": 8.847418108540312e-05, + "loss": 1.9731, + "step": 5946 + }, + { + "epoch": 0.81, + "learning_rate": 8.834837021378933e-05, + "loss": 1.9347, + "step": 5947 + }, + { + "epoch": 0.81, + "learning_rate": 8.822264018837811e-05, + "loss": 2.1036, + "step": 5948 + }, + { + "epoch": 0.81, + "learning_rate": 8.809699103386204e-05, + "loss": 1.8891, + "step": 5949 + }, + { + "epoch": 0.81, + "learning_rate": 8.797142277491798e-05, + "loss": 2.0435, + "step": 5950 + }, + { + "epoch": 0.81, + "learning_rate": 8.784593543620672e-05, + "loss": 2.0309, + "step": 5951 + }, + { + "epoch": 0.81, + "learning_rate": 8.772052904237349e-05, + "loss": 1.9147, + "step": 5952 + }, + { + "epoch": 0.81, + "learning_rate": 8.759520361804746e-05, + "loss": 1.9219, + "step": 5953 + }, + { + "epoch": 0.81, + "learning_rate": 8.746995918784162e-05, + "loss": 1.9323, + "step": 5954 + }, + { + "epoch": 0.81, + "learning_rate": 8.734479577635368e-05, + "loss": 1.9528, + "step": 5955 + }, + { + "epoch": 0.81, + "learning_rate": 8.72197134081647e-05, + "loss": 1.9608, + "step": 5956 + }, + { + "epoch": 0.82, + "learning_rate": 8.70947121078406e-05, + "loss": 1.9936, + "step": 5957 + }, + { + "epoch": 0.82, + "learning_rate": 8.696979189993065e-05, + "loss": 1.9904, + "step": 5958 + }, + { + "epoch": 0.82, + "learning_rate": 8.68449528089687e-05, + "loss": 1.8318, + "step": 5959 + }, + { + "epoch": 0.82, + "learning_rate": 8.67201948594723e-05, + "loss": 2.07, + "step": 5960 + }, + { + "epoch": 0.82, + "learning_rate": 8.659551807594345e-05, + "loss": 1.9346, + "step": 5961 + }, + { + "epoch": 0.82, + "learning_rate": 8.647092248286781e-05, + "loss": 1.9705, + "step": 5962 + }, + { + "epoch": 0.82, + "learning_rate": 8.634640810471555e-05, + "loss": 1.9716, + "step": 5963 + }, + { + "epoch": 0.82, + "learning_rate": 8.622197496594047e-05, + "loss": 1.9569, + "step": 5964 + }, + { + "epoch": 0.82, + "learning_rate": 8.609762309098063e-05, + "loss": 2.0069, + "step": 5965 + }, + { + "epoch": 0.82, + "learning_rate": 8.597335250425808e-05, + "loss": 2.0503, + "step": 5966 + }, + { + "epoch": 0.82, + "learning_rate": 8.584916323017872e-05, + "loss": 2.0169, + "step": 5967 + }, + { + "epoch": 0.82, + "learning_rate": 8.572505529313285e-05, + "loss": 1.9614, + "step": 5968 + }, + { + "epoch": 0.82, + "learning_rate": 8.560102871749475e-05, + "loss": 1.8636, + "step": 5969 + }, + { + "epoch": 0.82, + "learning_rate": 8.547708352762234e-05, + "loss": 2.105, + "step": 5970 + }, + { + "epoch": 0.82, + "learning_rate": 8.535321974785798e-05, + "loss": 1.9067, + "step": 5971 + }, + { + "epoch": 0.82, + "learning_rate": 8.52294374025277e-05, + "loss": 1.8487, + "step": 5972 + }, + { + "epoch": 0.82, + "learning_rate": 8.510573651594167e-05, + "loss": 1.9044, + "step": 5973 + }, + { + "epoch": 0.82, + "learning_rate": 8.498211711239417e-05, + "loss": 1.946, + "step": 5974 + }, + { + "epoch": 0.82, + "learning_rate": 8.485857921616358e-05, + "loss": 1.9459, + "step": 5975 + }, + { + "epoch": 0.82, + "learning_rate": 8.473512285151186e-05, + "loss": 1.8322, + "step": 5976 + }, + { + "epoch": 0.82, + "learning_rate": 8.461174804268528e-05, + "loss": 1.9476, + "step": 5977 + }, + { + "epoch": 0.82, + "learning_rate": 8.448845481391382e-05, + "loss": 2.036, + "step": 5978 + }, + { + "epoch": 0.82, + "learning_rate": 8.436524318941191e-05, + "loss": 1.9998, + "step": 5979 + }, + { + "epoch": 0.82, + "learning_rate": 8.424211319337755e-05, + "loss": 1.8941, + "step": 5980 + }, + { + "epoch": 0.82, + "learning_rate": 8.41190648499926e-05, + "loss": 1.9232, + "step": 5981 + }, + { + "epoch": 0.82, + "learning_rate": 8.399609818342341e-05, + "loss": 1.925, + "step": 5982 + }, + { + "epoch": 0.82, + "learning_rate": 8.387321321781977e-05, + "loss": 1.9635, + "step": 5983 + }, + { + "epoch": 0.82, + "learning_rate": 8.375040997731587e-05, + "loss": 2.0361, + "step": 5984 + }, + { + "epoch": 0.82, + "learning_rate": 8.362768848602948e-05, + "loss": 2.0136, + "step": 5985 + }, + { + "epoch": 0.82, + "learning_rate": 8.350504876806242e-05, + "loss": 1.9469, + "step": 5986 + }, + { + "epoch": 0.82, + "learning_rate": 8.338249084750038e-05, + "loss": 1.904, + "step": 5987 + }, + { + "epoch": 0.82, + "learning_rate": 8.326001474841339e-05, + "loss": 1.9735, + "step": 5988 + }, + { + "epoch": 0.82, + "learning_rate": 8.313762049485474e-05, + "loss": 1.7571, + "step": 5989 + }, + { + "epoch": 0.82, + "learning_rate": 8.301530811086239e-05, + "loss": 1.9855, + "step": 5990 + }, + { + "epoch": 0.82, + "learning_rate": 8.289307762045761e-05, + "loss": 1.8628, + "step": 5991 + }, + { + "epoch": 0.82, + "learning_rate": 8.277092904764594e-05, + "loss": 2.1061, + "step": 5992 + }, + { + "epoch": 0.82, + "learning_rate": 8.264886241641661e-05, + "loss": 1.9131, + "step": 5993 + }, + { + "epoch": 0.82, + "learning_rate": 8.25268777507428e-05, + "loss": 1.9796, + "step": 5994 + }, + { + "epoch": 0.82, + "learning_rate": 8.240497507458172e-05, + "loss": 1.9855, + "step": 5995 + }, + { + "epoch": 0.82, + "learning_rate": 8.228315441187461e-05, + "loss": 2.1389, + "step": 5996 + }, + { + "epoch": 0.82, + "learning_rate": 8.216141578654624e-05, + "loss": 2.0396, + "step": 5997 + }, + { + "epoch": 0.82, + "learning_rate": 8.20397592225054e-05, + "loss": 1.927, + "step": 5998 + }, + { + "epoch": 0.82, + "learning_rate": 8.191818474364482e-05, + "loss": 1.8822, + "step": 5999 + }, + { + "epoch": 0.82, + "learning_rate": 8.179669237384096e-05, + "loss": 1.8483, + "step": 6000 + }, + { + "epoch": 0.82, + "learning_rate": 8.167528213695447e-05, + "loss": 2.0409, + "step": 6001 + }, + { + "epoch": 0.82, + "learning_rate": 8.15539540568297e-05, + "loss": 2.1373, + "step": 6002 + }, + { + "epoch": 0.82, + "learning_rate": 8.143270815729476e-05, + "loss": 1.8988, + "step": 6003 + }, + { + "epoch": 0.82, + "learning_rate": 8.131154446216166e-05, + "loss": 1.8658, + "step": 6004 + }, + { + "epoch": 0.82, + "learning_rate": 8.11904629952263e-05, + "loss": 1.9992, + "step": 6005 + }, + { + "epoch": 0.82, + "learning_rate": 8.106946378026858e-05, + "loss": 2.0878, + "step": 6006 + }, + { + "epoch": 0.82, + "learning_rate": 8.094854684105201e-05, + "loss": 2.0129, + "step": 6007 + }, + { + "epoch": 0.82, + "learning_rate": 8.082771220132396e-05, + "loss": 1.9428, + "step": 6008 + }, + { + "epoch": 0.82, + "learning_rate": 8.070695988481592e-05, + "loss": 2.0072, + "step": 6009 + }, + { + "epoch": 0.82, + "learning_rate": 8.058628991524275e-05, + "loss": 2.0335, + "step": 6010 + }, + { + "epoch": 0.82, + "learning_rate": 8.046570231630362e-05, + "loss": 1.9141, + "step": 6011 + }, + { + "epoch": 0.82, + "learning_rate": 8.03451971116812e-05, + "loss": 2.0369, + "step": 6012 + }, + { + "epoch": 0.82, + "learning_rate": 8.022477432504216e-05, + "loss": 1.9053, + "step": 6013 + }, + { + "epoch": 0.82, + "learning_rate": 8.010443398003664e-05, + "loss": 1.7681, + "step": 6014 + }, + { + "epoch": 0.82, + "learning_rate": 7.998417610029912e-05, + "loss": 1.88, + "step": 6015 + }, + { + "epoch": 0.82, + "learning_rate": 7.986400070944744e-05, + "loss": 1.9174, + "step": 6016 + }, + { + "epoch": 0.82, + "learning_rate": 7.97439078310836e-05, + "loss": 2.0602, + "step": 6017 + }, + { + "epoch": 0.82, + "learning_rate": 7.962389748879312e-05, + "loss": 1.7871, + "step": 6018 + }, + { + "epoch": 0.82, + "learning_rate": 7.950396970614531e-05, + "loss": 2.0268, + "step": 6019 + }, + { + "epoch": 0.82, + "learning_rate": 7.93841245066933e-05, + "loss": 1.9395, + "step": 6020 + }, + { + "epoch": 0.82, + "learning_rate": 7.926436191397435e-05, + "loss": 1.9861, + "step": 6021 + }, + { + "epoch": 0.82, + "learning_rate": 7.914468195150881e-05, + "loss": 2.0141, + "step": 6022 + }, + { + "epoch": 0.82, + "learning_rate": 7.902508464280162e-05, + "loss": 1.9397, + "step": 6023 + }, + { + "epoch": 0.82, + "learning_rate": 7.890557001134074e-05, + "loss": 2.006, + "step": 6024 + }, + { + "epoch": 0.82, + "learning_rate": 7.878613808059837e-05, + "loss": 1.9656, + "step": 6025 + }, + { + "epoch": 0.82, + "learning_rate": 7.866678887403022e-05, + "loss": 1.9984, + "step": 6026 + }, + { + "epoch": 0.82, + "learning_rate": 7.854752241507574e-05, + "loss": 1.955, + "step": 6027 + }, + { + "epoch": 0.82, + "learning_rate": 7.842833872715837e-05, + "loss": 1.9622, + "step": 6028 + }, + { + "epoch": 0.82, + "learning_rate": 7.830923783368527e-05, + "loss": 1.9665, + "step": 6029 + }, + { + "epoch": 0.83, + "learning_rate": 7.819021975804708e-05, + "loss": 1.9002, + "step": 6030 + }, + { + "epoch": 0.83, + "learning_rate": 7.807128452361833e-05, + "loss": 2.0081, + "step": 6031 + }, + { + "epoch": 0.83, + "learning_rate": 7.795243215375725e-05, + "loss": 1.9548, + "step": 6032 + }, + { + "epoch": 0.83, + "learning_rate": 7.783366267180592e-05, + "loss": 1.8624, + "step": 6033 + }, + { + "epoch": 0.83, + "learning_rate": 7.77149761010898e-05, + "loss": 2.0571, + "step": 6034 + }, + { + "epoch": 0.83, + "learning_rate": 7.759637246491863e-05, + "loss": 1.896, + "step": 6035 + }, + { + "epoch": 0.83, + "learning_rate": 7.74778517865854e-05, + "loss": 2.0051, + "step": 6036 + }, + { + "epoch": 0.83, + "learning_rate": 7.735941408936692e-05, + "loss": 1.8824, + "step": 6037 + }, + { + "epoch": 0.83, + "learning_rate": 7.724105939652359e-05, + "loss": 1.9042, + "step": 6038 + }, + { + "epoch": 0.83, + "learning_rate": 7.712278773129988e-05, + "loss": 1.9602, + "step": 6039 + }, + { + "epoch": 0.83, + "learning_rate": 7.70045991169237e-05, + "loss": 1.9998, + "step": 6040 + }, + { + "epoch": 0.83, + "learning_rate": 7.688649357660643e-05, + "loss": 1.9353, + "step": 6041 + }, + { + "epoch": 0.83, + "learning_rate": 7.676847113354363e-05, + "loss": 2.0277, + "step": 6042 + }, + { + "epoch": 0.83, + "learning_rate": 7.665053181091413e-05, + "loss": 1.9989, + "step": 6043 + }, + { + "epoch": 0.83, + "learning_rate": 7.653267563188072e-05, + "loss": 1.978, + "step": 6044 + }, + { + "epoch": 0.83, + "learning_rate": 7.641490261958972e-05, + "loss": 2.1393, + "step": 6045 + }, + { + "epoch": 0.83, + "learning_rate": 7.6297212797171e-05, + "loss": 2.0107, + "step": 6046 + }, + { + "epoch": 0.83, + "learning_rate": 7.617960618773822e-05, + "loss": 1.9266, + "step": 6047 + }, + { + "epoch": 0.83, + "learning_rate": 7.60620828143887e-05, + "loss": 2.0219, + "step": 6048 + }, + { + "epoch": 0.83, + "learning_rate": 7.594464270020362e-05, + "loss": 2.0504, + "step": 6049 + }, + { + "epoch": 0.83, + "learning_rate": 7.58272858682475e-05, + "loss": 2.0421, + "step": 6050 + }, + { + "epoch": 0.83, + "learning_rate": 7.571001234156849e-05, + "loss": 1.9957, + "step": 6051 + }, + { + "epoch": 0.83, + "learning_rate": 7.559282214319858e-05, + "loss": 2.0146, + "step": 6052 + }, + { + "epoch": 0.83, + "learning_rate": 7.547571529615322e-05, + "loss": 1.9929, + "step": 6053 + }, + { + "epoch": 0.83, + "learning_rate": 7.535869182343158e-05, + "loss": 1.9825, + "step": 6054 + }, + { + "epoch": 0.83, + "learning_rate": 7.524175174801645e-05, + "loss": 2.0284, + "step": 6055 + }, + { + "epoch": 0.83, + "learning_rate": 7.512489509287441e-05, + "loss": 2.0209, + "step": 6056 + }, + { + "epoch": 0.83, + "learning_rate": 7.50081218809554e-05, + "loss": 2.0194, + "step": 6057 + }, + { + "epoch": 0.83, + "learning_rate": 7.489143213519301e-05, + "loss": 1.9737, + "step": 6058 + }, + { + "epoch": 0.83, + "learning_rate": 7.477482587850436e-05, + "loss": 1.9457, + "step": 6059 + }, + { + "epoch": 0.83, + "learning_rate": 7.465830313379063e-05, + "loss": 2.0227, + "step": 6060 + }, + { + "epoch": 0.83, + "learning_rate": 7.454186392393597e-05, + "loss": 2.0726, + "step": 6061 + }, + { + "epoch": 0.83, + "learning_rate": 7.442550827180867e-05, + "loss": 1.9657, + "step": 6062 + }, + { + "epoch": 0.83, + "learning_rate": 7.43092362002602e-05, + "loss": 1.8831, + "step": 6063 + }, + { + "epoch": 0.83, + "learning_rate": 7.419304773212587e-05, + "loss": 2.0504, + "step": 6064 + }, + { + "epoch": 0.83, + "learning_rate": 7.407694289022426e-05, + "loss": 2.0253, + "step": 6065 + }, + { + "epoch": 0.83, + "learning_rate": 7.396092169735807e-05, + "loss": 1.9745, + "step": 6066 + }, + { + "epoch": 0.83, + "learning_rate": 7.384498417631314e-05, + "loss": 2.0296, + "step": 6067 + }, + { + "epoch": 0.83, + "learning_rate": 7.372913034985878e-05, + "loss": 2.0978, + "step": 6068 + }, + { + "epoch": 0.83, + "learning_rate": 7.361336024074833e-05, + "loss": 1.9495, + "step": 6069 + }, + { + "epoch": 0.83, + "learning_rate": 7.349767387171824e-05, + "loss": 1.963, + "step": 6070 + }, + { + "epoch": 0.83, + "learning_rate": 7.338207126548896e-05, + "loss": 1.9779, + "step": 6071 + }, + { + "epoch": 0.83, + "learning_rate": 7.326655244476399e-05, + "loss": 2.0374, + "step": 6072 + }, + { + "epoch": 0.83, + "learning_rate": 7.315111743223068e-05, + "loss": 2.0423, + "step": 6073 + }, + { + "epoch": 0.83, + "learning_rate": 7.30357662505598e-05, + "loss": 2.0064, + "step": 6074 + }, + { + "epoch": 0.83, + "learning_rate": 7.292049892240582e-05, + "loss": 1.9219, + "step": 6075 + }, + { + "epoch": 0.83, + "learning_rate": 7.280531547040653e-05, + "loss": 1.8938, + "step": 6076 + }, + { + "epoch": 0.83, + "learning_rate": 7.26902159171835e-05, + "loss": 1.9357, + "step": 6077 + }, + { + "epoch": 0.83, + "learning_rate": 7.257520028534159e-05, + "loss": 1.8725, + "step": 6078 + }, + { + "epoch": 0.83, + "learning_rate": 7.246026859746924e-05, + "loss": 2.0491, + "step": 6079 + }, + { + "epoch": 0.83, + "learning_rate": 7.234542087613849e-05, + "loss": 1.912, + "step": 6080 + }, + { + "epoch": 0.83, + "learning_rate": 7.223065714390459e-05, + "loss": 2.0901, + "step": 6081 + }, + { + "epoch": 0.83, + "learning_rate": 7.211597742330677e-05, + "loss": 1.9071, + "step": 6082 + }, + { + "epoch": 0.83, + "learning_rate": 7.200138173686754e-05, + "loss": 1.9025, + "step": 6083 + }, + { + "epoch": 0.83, + "learning_rate": 7.188687010709283e-05, + "loss": 2.018, + "step": 6084 + }, + { + "epoch": 0.83, + "learning_rate": 7.177244255647209e-05, + "loss": 1.9307, + "step": 6085 + }, + { + "epoch": 0.83, + "learning_rate": 7.165809910747818e-05, + "loss": 1.9161, + "step": 6086 + }, + { + "epoch": 0.83, + "learning_rate": 7.154383978256773e-05, + "loss": 1.7847, + "step": 6087 + }, + { + "epoch": 0.83, + "learning_rate": 7.142966460418055e-05, + "loss": 1.9219, + "step": 6088 + }, + { + "epoch": 0.83, + "learning_rate": 7.131557359474022e-05, + "loss": 2.0899, + "step": 6089 + }, + { + "epoch": 0.83, + "learning_rate": 7.12015667766534e-05, + "loss": 1.9465, + "step": 6090 + }, + { + "epoch": 0.83, + "learning_rate": 7.108764417231056e-05, + "loss": 2.0723, + "step": 6091 + }, + { + "epoch": 0.83, + "learning_rate": 7.097380580408535e-05, + "loss": 2.0632, + "step": 6092 + }, + { + "epoch": 0.83, + "learning_rate": 7.086005169433524e-05, + "loss": 2.1281, + "step": 6093 + }, + { + "epoch": 0.83, + "learning_rate": 7.074638186540078e-05, + "loss": 1.9248, + "step": 6094 + }, + { + "epoch": 0.83, + "learning_rate": 7.0632796339606e-05, + "loss": 1.891, + "step": 6095 + }, + { + "epoch": 0.83, + "learning_rate": 7.051929513925886e-05, + "loss": 1.9803, + "step": 6096 + }, + { + "epoch": 0.83, + "learning_rate": 7.040587828665002e-05, + "loss": 1.8701, + "step": 6097 + }, + { + "epoch": 0.83, + "learning_rate": 7.02925458040542e-05, + "loss": 1.868, + "step": 6098 + }, + { + "epoch": 0.83, + "learning_rate": 7.017929771372927e-05, + "loss": 1.9195, + "step": 6099 + }, + { + "epoch": 0.83, + "learning_rate": 7.006613403791651e-05, + "loss": 1.8553, + "step": 6100 + }, + { + "epoch": 0.83, + "learning_rate": 6.995305479884051e-05, + "loss": 1.9702, + "step": 6101 + }, + { + "epoch": 0.83, + "learning_rate": 6.984006001870974e-05, + "loss": 1.9869, + "step": 6102 + }, + { + "epoch": 0.83, + "learning_rate": 6.97271497197155e-05, + "loss": 1.963, + "step": 6103 + }, + { + "epoch": 0.84, + "learning_rate": 6.9614323924033e-05, + "loss": 1.9614, + "step": 6104 + }, + { + "epoch": 0.84, + "learning_rate": 6.95015826538205e-05, + "loss": 1.9206, + "step": 6105 + }, + { + "epoch": 0.84, + "learning_rate": 6.938892593121982e-05, + "loss": 1.8955, + "step": 6106 + }, + { + "epoch": 0.84, + "learning_rate": 6.927635377835606e-05, + "loss": 1.9205, + "step": 6107 + }, + { + "epoch": 0.84, + "learning_rate": 6.9163866217338e-05, + "loss": 1.9522, + "step": 6108 + }, + { + "epoch": 0.84, + "learning_rate": 6.905146327025735e-05, + "loss": 1.8956, + "step": 6109 + }, + { + "epoch": 0.84, + "learning_rate": 6.893914495918968e-05, + "loss": 1.9745, + "step": 6110 + }, + { + "epoch": 0.84, + "learning_rate": 6.882691130619361e-05, + "loss": 2.0127, + "step": 6111 + }, + { + "epoch": 0.84, + "learning_rate": 6.871476233331126e-05, + "loss": 1.8041, + "step": 6112 + }, + { + "epoch": 0.84, + "learning_rate": 6.860269806256808e-05, + "loss": 1.884, + "step": 6113 + }, + { + "epoch": 0.84, + "learning_rate": 6.849071851597277e-05, + "loss": 1.9896, + "step": 6114 + }, + { + "epoch": 0.84, + "learning_rate": 6.837882371551762e-05, + "loss": 2.0868, + "step": 6115 + }, + { + "epoch": 0.84, + "learning_rate": 6.826701368317833e-05, + "loss": 2.0263, + "step": 6116 + }, + { + "epoch": 0.84, + "learning_rate": 6.815528844091368e-05, + "loss": 1.9988, + "step": 6117 + }, + { + "epoch": 0.84, + "learning_rate": 6.804364801066593e-05, + "loss": 2.0843, + "step": 6118 + }, + { + "epoch": 0.84, + "learning_rate": 6.793209241436049e-05, + "loss": 2.0403, + "step": 6119 + }, + { + "epoch": 0.84, + "learning_rate": 6.782062167390662e-05, + "loss": 1.8889, + "step": 6120 + }, + { + "epoch": 0.84, + "learning_rate": 6.770923581119625e-05, + "loss": 2.0719, + "step": 6121 + }, + { + "epoch": 0.84, + "learning_rate": 6.759793484810528e-05, + "loss": 1.9998, + "step": 6122 + }, + { + "epoch": 0.84, + "learning_rate": 6.748671880649243e-05, + "loss": 2.0416, + "step": 6123 + }, + { + "epoch": 0.84, + "learning_rate": 6.737558770819996e-05, + "loss": 1.9411, + "step": 6124 + }, + { + "epoch": 0.84, + "learning_rate": 6.726454157505352e-05, + "loss": 2.0747, + "step": 6125 + }, + { + "epoch": 0.84, + "learning_rate": 6.715358042886194e-05, + "loss": 2.0799, + "step": 6126 + }, + { + "epoch": 0.84, + "learning_rate": 6.70427042914174e-05, + "loss": 2.0231, + "step": 6127 + }, + { + "epoch": 0.84, + "learning_rate": 6.693191318449527e-05, + "loss": 1.9544, + "step": 6128 + }, + { + "epoch": 0.84, + "learning_rate": 6.682120712985457e-05, + "loss": 1.9867, + "step": 6129 + }, + { + "epoch": 0.84, + "learning_rate": 6.671058614923714e-05, + "loss": 1.9943, + "step": 6130 + }, + { + "epoch": 0.84, + "learning_rate": 6.66000502643686e-05, + "loss": 2.1614, + "step": 6131 + }, + { + "epoch": 0.84, + "learning_rate": 6.648959949695748e-05, + "loss": 1.8717, + "step": 6132 + }, + { + "epoch": 0.84, + "learning_rate": 6.637923386869571e-05, + "loss": 2.0802, + "step": 6133 + }, + { + "epoch": 0.84, + "learning_rate": 6.626895340125844e-05, + "loss": 1.9298, + "step": 6134 + }, + { + "epoch": 0.84, + "learning_rate": 6.615875811630428e-05, + "loss": 2.064, + "step": 6135 + }, + { + "epoch": 0.84, + "learning_rate": 6.604864803547511e-05, + "loss": 1.9884, + "step": 6136 + }, + { + "epoch": 0.84, + "learning_rate": 6.593862318039584e-05, + "loss": 1.9016, + "step": 6137 + }, + { + "epoch": 0.84, + "learning_rate": 6.582868357267479e-05, + "loss": 2.0144, + "step": 6138 + }, + { + "epoch": 0.84, + "learning_rate": 6.571882923390349e-05, + "loss": 1.9242, + "step": 6139 + }, + { + "epoch": 0.84, + "learning_rate": 6.560906018565677e-05, + "loss": 2.0038, + "step": 6140 + }, + { + "epoch": 0.84, + "learning_rate": 6.549937644949255e-05, + "loss": 2.0619, + "step": 6141 + }, + { + "epoch": 0.84, + "learning_rate": 6.538977804695234e-05, + "loss": 1.942, + "step": 6142 + }, + { + "epoch": 0.84, + "learning_rate": 6.528026499956069e-05, + "loss": 1.9926, + "step": 6143 + }, + { + "epoch": 0.84, + "learning_rate": 6.517083732882534e-05, + "loss": 1.8512, + "step": 6144 + }, + { + "epoch": 0.84, + "learning_rate": 6.506149505623721e-05, + "loss": 1.9875, + "step": 6145 + }, + { + "epoch": 0.84, + "learning_rate": 6.495223820327057e-05, + "loss": 2.1136, + "step": 6146 + }, + { + "epoch": 0.84, + "learning_rate": 6.484306679138301e-05, + "loss": 1.9485, + "step": 6147 + }, + { + "epoch": 0.84, + "learning_rate": 6.473398084201504e-05, + "loss": 1.9135, + "step": 6148 + }, + { + "epoch": 0.84, + "learning_rate": 6.462498037659076e-05, + "loss": 2.0536, + "step": 6149 + }, + { + "epoch": 0.84, + "learning_rate": 6.451606541651722e-05, + "loss": 1.8842, + "step": 6150 + }, + { + "epoch": 0.84, + "learning_rate": 6.440723598318465e-05, + "loss": 1.9524, + "step": 6151 + }, + { + "epoch": 0.84, + "learning_rate": 6.429849209796657e-05, + "loss": 1.944, + "step": 6152 + }, + { + "epoch": 0.84, + "learning_rate": 6.418983378221988e-05, + "loss": 1.8743, + "step": 6153 + }, + { + "epoch": 0.84, + "learning_rate": 6.408126105728435e-05, + "loss": 2.018, + "step": 6154 + }, + { + "epoch": 0.84, + "learning_rate": 6.397277394448304e-05, + "loss": 1.8969, + "step": 6155 + }, + { + "epoch": 0.84, + "learning_rate": 6.386437246512245e-05, + "loss": 1.8653, + "step": 6156 + }, + { + "epoch": 0.84, + "learning_rate": 6.375605664049178e-05, + "loss": 1.9214, + "step": 6157 + }, + { + "epoch": 0.84, + "learning_rate": 6.364782649186396e-05, + "loss": 1.8864, + "step": 6158 + }, + { + "epoch": 0.84, + "learning_rate": 6.353968204049476e-05, + "loss": 2.0121, + "step": 6159 + }, + { + "epoch": 0.84, + "learning_rate": 6.343162330762308e-05, + "loss": 1.8849, + "step": 6160 + }, + { + "epoch": 0.84, + "learning_rate": 6.332365031447102e-05, + "loss": 1.8858, + "step": 6161 + }, + { + "epoch": 0.84, + "learning_rate": 6.321576308224397e-05, + "loss": 2.0316, + "step": 6162 + }, + { + "epoch": 0.84, + "learning_rate": 6.310796163213056e-05, + "loss": 2.0394, + "step": 6163 + }, + { + "epoch": 0.84, + "learning_rate": 6.300024598530234e-05, + "loss": 1.9462, + "step": 6164 + }, + { + "epoch": 0.84, + "learning_rate": 6.289261616291409e-05, + "loss": 1.9179, + "step": 6165 + }, + { + "epoch": 0.84, + "learning_rate": 6.278507218610368e-05, + "loss": 1.8228, + "step": 6166 + }, + { + "epoch": 0.84, + "learning_rate": 6.26776140759922e-05, + "loss": 1.7659, + "step": 6167 + }, + { + "epoch": 0.84, + "learning_rate": 6.257024185368381e-05, + "loss": 2.1014, + "step": 6168 + }, + { + "epoch": 0.84, + "learning_rate": 6.246295554026588e-05, + "loss": 1.9507, + "step": 6169 + }, + { + "epoch": 0.84, + "learning_rate": 6.235575515680897e-05, + "loss": 1.9226, + "step": 6170 + }, + { + "epoch": 0.84, + "learning_rate": 6.224864072436665e-05, + "loss": 1.9729, + "step": 6171 + }, + { + "epoch": 0.84, + "learning_rate": 6.214161226397552e-05, + "loss": 1.8907, + "step": 6172 + }, + { + "epoch": 0.84, + "learning_rate": 6.203466979665534e-05, + "loss": 2.134, + "step": 6173 + }, + { + "epoch": 0.84, + "learning_rate": 6.19278133434093e-05, + "loss": 1.9035, + "step": 6174 + }, + { + "epoch": 0.84, + "learning_rate": 6.182104292522322e-05, + "loss": 1.9542, + "step": 6175 + }, + { + "epoch": 0.84, + "learning_rate": 6.17143585630664e-05, + "loss": 2.0762, + "step": 6176 + }, + { + "epoch": 0.85, + "learning_rate": 6.160776027789105e-05, + "loss": 1.8799, + "step": 6177 + }, + { + "epoch": 0.85, + "learning_rate": 6.150124809063246e-05, + "loss": 1.8848, + "step": 6178 + }, + { + "epoch": 0.85, + "learning_rate": 6.139482202220892e-05, + "loss": 2.0932, + "step": 6179 + }, + { + "epoch": 0.85, + "learning_rate": 6.128848209352228e-05, + "loss": 2.0819, + "step": 6180 + }, + { + "epoch": 0.85, + "learning_rate": 6.118222832545689e-05, + "loss": 1.951, + "step": 6181 + }, + { + "epoch": 0.85, + "learning_rate": 6.107606073888045e-05, + "loss": 1.9434, + "step": 6182 + }, + { + "epoch": 0.85, + "learning_rate": 6.096997935464382e-05, + "loss": 1.9802, + "step": 6183 + }, + { + "epoch": 0.85, + "learning_rate": 6.0863984193580634e-05, + "loss": 1.951, + "step": 6184 + }, + { + "epoch": 0.85, + "learning_rate": 6.075807527650806e-05, + "loss": 1.9089, + "step": 6185 + }, + { + "epoch": 0.85, + "learning_rate": 6.0652252624225915e-05, + "loss": 1.9304, + "step": 6186 + }, + { + "epoch": 0.85, + "learning_rate": 6.054651625751717e-05, + "loss": 1.9341, + "step": 6187 + }, + { + "epoch": 0.85, + "learning_rate": 6.044086619714778e-05, + "loss": 1.9068, + "step": 6188 + }, + { + "epoch": 0.85, + "learning_rate": 6.033530246386704e-05, + "loss": 1.9782, + "step": 6189 + }, + { + "epoch": 0.85, + "learning_rate": 6.022982507840713e-05, + "loss": 1.9806, + "step": 6190 + }, + { + "epoch": 0.85, + "learning_rate": 6.0124434061483157e-05, + "loss": 1.9875, + "step": 6191 + }, + { + "epoch": 0.85, + "learning_rate": 6.00191294337934e-05, + "loss": 2.0437, + "step": 6192 + }, + { + "epoch": 0.85, + "learning_rate": 5.9913911216019076e-05, + "loss": 1.9631, + "step": 6193 + }, + { + "epoch": 0.85, + "learning_rate": 5.9808779428824455e-05, + "loss": 1.9889, + "step": 6194 + }, + { + "epoch": 0.85, + "learning_rate": 5.970373409285695e-05, + "loss": 2.0489, + "step": 6195 + }, + { + "epoch": 0.85, + "learning_rate": 5.959877522874696e-05, + "loss": 1.9412, + "step": 6196 + }, + { + "epoch": 0.85, + "learning_rate": 5.949390285710776e-05, + "loss": 1.9891, + "step": 6197 + }, + { + "epoch": 0.85, + "learning_rate": 5.9389116998535775e-05, + "loss": 1.9062, + "step": 6198 + }, + { + "epoch": 0.85, + "learning_rate": 5.928441767361037e-05, + "loss": 2.0079, + "step": 6199 + }, + { + "epoch": 0.85, + "learning_rate": 5.917980490289382e-05, + "loss": 2.0677, + "step": 6200 + }, + { + "epoch": 0.85, + "learning_rate": 5.907527870693169e-05, + "loss": 1.9744, + "step": 6201 + }, + { + "epoch": 0.85, + "learning_rate": 5.897083910625228e-05, + "loss": 1.9885, + "step": 6202 + }, + { + "epoch": 0.85, + "learning_rate": 5.886648612136708e-05, + "loss": 1.8954, + "step": 6203 + }, + { + "epoch": 0.85, + "learning_rate": 5.876221977277041e-05, + "loss": 1.9571, + "step": 6204 + }, + { + "epoch": 0.85, + "learning_rate": 5.865804008093961e-05, + "loss": 1.8925, + "step": 6205 + }, + { + "epoch": 0.85, + "learning_rate": 5.8553947066334935e-05, + "loss": 1.9721, + "step": 6206 + }, + { + "epoch": 0.85, + "learning_rate": 5.844994074939991e-05, + "loss": 1.95, + "step": 6207 + }, + { + "epoch": 0.85, + "learning_rate": 5.834602115056059e-05, + "loss": 1.9513, + "step": 6208 + }, + { + "epoch": 0.85, + "learning_rate": 5.824218829022643e-05, + "loss": 2.0243, + "step": 6209 + }, + { + "epoch": 0.85, + "learning_rate": 5.813844218878961e-05, + "loss": 1.8992, + "step": 6210 + }, + { + "epoch": 0.85, + "learning_rate": 5.803478286662511e-05, + "loss": 1.8979, + "step": 6211 + }, + { + "epoch": 0.85, + "learning_rate": 5.7931210344091433e-05, + "loss": 2.002, + "step": 6212 + }, + { + "epoch": 0.85, + "learning_rate": 5.782772464152947e-05, + "loss": 1.8945, + "step": 6213 + }, + { + "epoch": 0.85, + "learning_rate": 5.772432577926323e-05, + "loss": 2.0219, + "step": 6214 + }, + { + "epoch": 0.85, + "learning_rate": 5.762101377759971e-05, + "loss": 1.915, + "step": 6215 + }, + { + "epoch": 0.85, + "learning_rate": 5.751778865682894e-05, + "loss": 1.8563, + "step": 6216 + }, + { + "epoch": 0.85, + "learning_rate": 5.7414650437223656e-05, + "loss": 2.1411, + "step": 6217 + }, + { + "epoch": 0.85, + "learning_rate": 5.731159913903988e-05, + "loss": 1.9519, + "step": 6218 + }, + { + "epoch": 0.85, + "learning_rate": 5.720863478251615e-05, + "loss": 1.8061, + "step": 6219 + }, + { + "epoch": 0.85, + "learning_rate": 5.7105757387874154e-05, + "loss": 2.0629, + "step": 6220 + }, + { + "epoch": 0.85, + "learning_rate": 5.700296697531843e-05, + "loss": 1.9726, + "step": 6221 + }, + { + "epoch": 0.85, + "learning_rate": 5.690026356503647e-05, + "loss": 1.8571, + "step": 6222 + }, + { + "epoch": 0.85, + "learning_rate": 5.6797647177198874e-05, + "loss": 1.9478, + "step": 6223 + }, + { + "epoch": 0.85, + "learning_rate": 5.6695117831958795e-05, + "loss": 1.9669, + "step": 6224 + }, + { + "epoch": 0.85, + "learning_rate": 5.659267554945247e-05, + "loss": 1.9781, + "step": 6225 + }, + { + "epoch": 0.85, + "learning_rate": 5.6490320349799066e-05, + "loss": 1.8759, + "step": 6226 + }, + { + "epoch": 0.85, + "learning_rate": 5.638805225310045e-05, + "loss": 1.9157, + "step": 6227 + }, + { + "epoch": 0.85, + "learning_rate": 5.6285871279441736e-05, + "loss": 1.9466, + "step": 6228 + }, + { + "epoch": 0.85, + "learning_rate": 5.6183777448890524e-05, + "loss": 2.0758, + "step": 6229 + }, + { + "epoch": 0.85, + "learning_rate": 5.6081770781497785e-05, + "loss": 1.9518, + "step": 6230 + }, + { + "epoch": 0.85, + "learning_rate": 5.597985129729688e-05, + "loss": 1.8523, + "step": 6231 + }, + { + "epoch": 0.85, + "learning_rate": 5.5878019016304295e-05, + "loss": 2.0325, + "step": 6232 + }, + { + "epoch": 0.85, + "learning_rate": 5.577627395851925e-05, + "loss": 2.0026, + "step": 6233 + }, + { + "epoch": 0.85, + "learning_rate": 5.567461614392416e-05, + "loss": 1.8278, + "step": 6234 + }, + { + "epoch": 0.85, + "learning_rate": 5.557304559248383e-05, + "loss": 1.8539, + "step": 6235 + }, + { + "epoch": 0.85, + "learning_rate": 5.547156232414646e-05, + "loss": 1.9429, + "step": 6236 + }, + { + "epoch": 0.85, + "learning_rate": 5.5370166358842677e-05, + "loss": 1.8881, + "step": 6237 + }, + { + "epoch": 0.85, + "learning_rate": 5.5268857716485984e-05, + "loss": 2.1642, + "step": 6238 + }, + { + "epoch": 0.85, + "learning_rate": 5.5167636416973085e-05, + "loss": 1.9401, + "step": 6239 + }, + { + "epoch": 0.85, + "learning_rate": 5.5066502480183246e-05, + "loss": 2.0157, + "step": 6240 + }, + { + "epoch": 0.85, + "learning_rate": 5.4965455925978625e-05, + "loss": 2.1482, + "step": 6241 + }, + { + "epoch": 0.85, + "learning_rate": 5.486449677420408e-05, + "loss": 2.0238, + "step": 6242 + }, + { + "epoch": 0.85, + "learning_rate": 5.476362504468768e-05, + "loss": 1.9293, + "step": 6243 + }, + { + "epoch": 0.85, + "learning_rate": 5.466284075723993e-05, + "loss": 1.9324, + "step": 6244 + }, + { + "epoch": 0.85, + "learning_rate": 5.456214393165448e-05, + "loss": 1.8847, + "step": 6245 + }, + { + "epoch": 0.85, + "learning_rate": 5.446153458770764e-05, + "loss": 2.0002, + "step": 6246 + }, + { + "epoch": 0.85, + "learning_rate": 5.436101274515842e-05, + "loss": 1.9037, + "step": 6247 + }, + { + "epoch": 0.85, + "learning_rate": 5.426057842374882e-05, + "loss": 1.9154, + "step": 6248 + }, + { + "epoch": 0.85, + "learning_rate": 5.4160231643203605e-05, + "loss": 2.0707, + "step": 6249 + }, + { + "epoch": 0.86, + "learning_rate": 5.405997242323052e-05, + "loss": 2.0045, + "step": 6250 + }, + { + "epoch": 0.86, + "learning_rate": 5.395980078351975e-05, + "loss": 1.9157, + "step": 6251 + }, + { + "epoch": 0.86, + "learning_rate": 5.385971674374457e-05, + "loss": 2.1324, + "step": 6252 + }, + { + "epoch": 0.86, + "learning_rate": 5.375972032356097e-05, + "loss": 1.971, + "step": 6253 + }, + { + "epoch": 0.86, + "learning_rate": 5.365981154260752e-05, + "loss": 1.959, + "step": 6254 + }, + { + "epoch": 0.86, + "learning_rate": 5.3559990420506025e-05, + "loss": 1.9213, + "step": 6255 + }, + { + "epoch": 0.86, + "learning_rate": 5.346025697686069e-05, + "loss": 1.9222, + "step": 6256 + }, + { + "epoch": 0.86, + "learning_rate": 5.336061123125874e-05, + "loss": 1.8725, + "step": 6257 + }, + { + "epoch": 0.86, + "learning_rate": 5.326105320326996e-05, + "loss": 2.0543, + "step": 6258 + }, + { + "epoch": 0.86, + "learning_rate": 5.3161582912447106e-05, + "loss": 1.9744, + "step": 6259 + }, + { + "epoch": 0.86, + "learning_rate": 5.3062200378325485e-05, + "loss": 1.8028, + "step": 6260 + }, + { + "epoch": 0.86, + "learning_rate": 5.296290562042349e-05, + "loss": 1.9836, + "step": 6261 + }, + { + "epoch": 0.86, + "learning_rate": 5.286369865824192e-05, + "loss": 1.8593, + "step": 6262 + }, + { + "epoch": 0.86, + "learning_rate": 5.2764579511264624e-05, + "loss": 1.8893, + "step": 6263 + }, + { + "epoch": 0.86, + "learning_rate": 5.266554819895808e-05, + "loss": 1.9188, + "step": 6264 + }, + { + "epoch": 0.86, + "learning_rate": 5.25666047407713e-05, + "loss": 1.9078, + "step": 6265 + }, + { + "epoch": 0.86, + "learning_rate": 5.2467749156136504e-05, + "loss": 1.9517, + "step": 6266 + }, + { + "epoch": 0.86, + "learning_rate": 5.2368981464468336e-05, + "loss": 2.0208, + "step": 6267 + }, + { + "epoch": 0.86, + "learning_rate": 5.227030168516417e-05, + "loss": 1.9939, + "step": 6268 + }, + { + "epoch": 0.86, + "learning_rate": 5.2171709837604276e-05, + "loss": 2.0781, + "step": 6269 + }, + { + "epoch": 0.86, + "learning_rate": 5.207320594115161e-05, + "loss": 2.0071, + "step": 6270 + }, + { + "epoch": 0.86, + "learning_rate": 5.19747900151516e-05, + "loss": 1.934, + "step": 6271 + }, + { + "epoch": 0.86, + "learning_rate": 5.187646207893287e-05, + "loss": 1.914, + "step": 6272 + }, + { + "epoch": 0.86, + "learning_rate": 5.177822215180639e-05, + "loss": 1.9533, + "step": 6273 + }, + { + "epoch": 0.86, + "learning_rate": 5.168007025306604e-05, + "loss": 1.9611, + "step": 6274 + }, + { + "epoch": 0.86, + "learning_rate": 5.1582006401988066e-05, + "loss": 1.9117, + "step": 6275 + }, + { + "epoch": 0.86, + "learning_rate": 5.148403061783197e-05, + "loss": 1.8773, + "step": 6276 + }, + { + "epoch": 0.86, + "learning_rate": 5.138614291983967e-05, + "loss": 1.8889, + "step": 6277 + }, + { + "epoch": 0.86, + "learning_rate": 5.12883433272357e-05, + "loss": 1.7956, + "step": 6278 + }, + { + "epoch": 0.86, + "learning_rate": 5.11906318592274e-05, + "loss": 1.9231, + "step": 6279 + }, + { + "epoch": 0.86, + "learning_rate": 5.1093008535004816e-05, + "loss": 1.9154, + "step": 6280 + }, + { + "epoch": 0.86, + "learning_rate": 5.09954733737405e-05, + "loss": 1.9112, + "step": 6281 + }, + { + "epoch": 0.86, + "learning_rate": 5.089802639459001e-05, + "loss": 1.9112, + "step": 6282 + }, + { + "epoch": 0.86, + "learning_rate": 5.0800667616691444e-05, + "loss": 1.8706, + "step": 6283 + }, + { + "epoch": 0.86, + "learning_rate": 5.070339705916543e-05, + "loss": 1.9441, + "step": 6284 + }, + { + "epoch": 0.86, + "learning_rate": 5.0606214741115484e-05, + "loss": 1.8955, + "step": 6285 + }, + { + "epoch": 0.86, + "learning_rate": 5.050912068162766e-05, + "loss": 2.0235, + "step": 6286 + }, + { + "epoch": 0.86, + "learning_rate": 5.041211489977066e-05, + "loss": 1.9384, + "step": 6287 + }, + { + "epoch": 0.86, + "learning_rate": 5.0315197414596005e-05, + "loss": 1.8977, + "step": 6288 + }, + { + "epoch": 0.86, + "learning_rate": 5.021836824513759e-05, + "loss": 1.8583, + "step": 6289 + }, + { + "epoch": 0.86, + "learning_rate": 5.0121627410412486e-05, + "loss": 1.9332, + "step": 6290 + }, + { + "epoch": 0.86, + "learning_rate": 5.002497492941982e-05, + "loss": 1.9004, + "step": 6291 + }, + { + "epoch": 0.86, + "learning_rate": 4.992841082114169e-05, + "loss": 2.0319, + "step": 6292 + }, + { + "epoch": 0.86, + "learning_rate": 4.9831935104542706e-05, + "loss": 1.8667, + "step": 6293 + }, + { + "epoch": 0.86, + "learning_rate": 4.973554779857037e-05, + "loss": 1.9037, + "step": 6294 + }, + { + "epoch": 0.86, + "learning_rate": 4.963924892215443e-05, + "loss": 2.0015, + "step": 6295 + }, + { + "epoch": 0.86, + "learning_rate": 4.9543038494207716e-05, + "loss": 1.9363, + "step": 6296 + }, + { + "epoch": 0.86, + "learning_rate": 4.944691653362526e-05, + "loss": 1.9681, + "step": 6297 + }, + { + "epoch": 0.86, + "learning_rate": 4.935088305928487e-05, + "loss": 2.03, + "step": 6298 + }, + { + "epoch": 0.86, + "learning_rate": 4.9254938090047164e-05, + "loss": 2.1404, + "step": 6299 + }, + { + "epoch": 0.86, + "learning_rate": 4.915908164475519e-05, + "loss": 2.0187, + "step": 6300 + }, + { + "epoch": 0.86, + "learning_rate": 4.906331374223466e-05, + "loss": 1.9457, + "step": 6301 + }, + { + "epoch": 0.86, + "learning_rate": 4.8967634401293705e-05, + "loss": 2.0009, + "step": 6302 + }, + { + "epoch": 0.86, + "learning_rate": 4.887204364072334e-05, + "loss": 2.0565, + "step": 6303 + }, + { + "epoch": 0.86, + "learning_rate": 4.8776541479297275e-05, + "loss": 1.8696, + "step": 6304 + }, + { + "epoch": 0.86, + "learning_rate": 4.868112793577145e-05, + "loss": 1.935, + "step": 6305 + }, + { + "epoch": 0.86, + "learning_rate": 4.858580302888466e-05, + "loss": 1.8517, + "step": 6306 + }, + { + "epoch": 0.86, + "learning_rate": 4.8490566777358084e-05, + "loss": 1.9805, + "step": 6307 + }, + { + "epoch": 0.86, + "learning_rate": 4.8395419199895655e-05, + "loss": 1.8373, + "step": 6308 + }, + { + "epoch": 0.86, + "learning_rate": 4.8300360315183867e-05, + "loss": 2.0286, + "step": 6309 + }, + { + "epoch": 0.86, + "learning_rate": 4.82053901418919e-05, + "loss": 1.9575, + "step": 6310 + }, + { + "epoch": 0.86, + "learning_rate": 4.8110508698671286e-05, + "loss": 1.9789, + "step": 6311 + }, + { + "epoch": 0.86, + "learning_rate": 4.8015716004156274e-05, + "loss": 1.9603, + "step": 6312 + }, + { + "epoch": 0.86, + "learning_rate": 4.792101207696365e-05, + "loss": 1.914, + "step": 6313 + }, + { + "epoch": 0.86, + "learning_rate": 4.782639693569263e-05, + "loss": 1.7516, + "step": 6314 + }, + { + "epoch": 0.86, + "learning_rate": 4.773187059892531e-05, + "loss": 1.9, + "step": 6315 + }, + { + "epoch": 0.86, + "learning_rate": 4.7637433085226e-05, + "loss": 1.9272, + "step": 6316 + }, + { + "epoch": 0.86, + "learning_rate": 4.7543084413141924e-05, + "loss": 1.9524, + "step": 6317 + }, + { + "epoch": 0.86, + "learning_rate": 4.744882460120259e-05, + "loss": 2.0304, + "step": 6318 + }, + { + "epoch": 0.86, + "learning_rate": 4.735465366792008e-05, + "loss": 2.239, + "step": 6319 + }, + { + "epoch": 0.86, + "learning_rate": 4.7260571631788926e-05, + "loss": 1.8442, + "step": 6320 + }, + { + "epoch": 0.86, + "learning_rate": 4.716657851128664e-05, + "loss": 1.9188, + "step": 6321 + }, + { + "epoch": 0.86, + "learning_rate": 4.7072674324872775e-05, + "loss": 1.9383, + "step": 6322 + }, + { + "epoch": 0.87, + "learning_rate": 4.69788590909897e-05, + "loss": 1.9591, + "step": 6323 + }, + { + "epoch": 0.87, + "learning_rate": 4.6885132828062225e-05, + "loss": 1.9833, + "step": 6324 + }, + { + "epoch": 0.87, + "learning_rate": 4.679149555449763e-05, + "loss": 1.8568, + "step": 6325 + }, + { + "epoch": 0.87, + "learning_rate": 4.669794728868587e-05, + "loss": 1.9514, + "step": 6326 + }, + { + "epoch": 0.87, + "learning_rate": 4.660448804899925e-05, + "loss": 1.9795, + "step": 6327 + }, + { + "epoch": 0.87, + "learning_rate": 4.6511117853792754e-05, + "loss": 2.0299, + "step": 6328 + }, + { + "epoch": 0.87, + "learning_rate": 4.6417836721403595e-05, + "loss": 1.9461, + "step": 6329 + }, + { + "epoch": 0.87, + "learning_rate": 4.63246446701519e-05, + "loss": 2.1041, + "step": 6330 + }, + { + "epoch": 0.87, + "learning_rate": 4.62315417183401e-05, + "loss": 2.05, + "step": 6331 + }, + { + "epoch": 0.87, + "learning_rate": 4.6138527884253045e-05, + "loss": 1.9384, + "step": 6332 + }, + { + "epoch": 0.87, + "learning_rate": 4.6045603186158136e-05, + "loss": 2.0097, + "step": 6333 + }, + { + "epoch": 0.87, + "learning_rate": 4.595276764230538e-05, + "loss": 1.9461, + "step": 6334 + }, + { + "epoch": 0.87, + "learning_rate": 4.5860021270927034e-05, + "loss": 1.9571, + "step": 6335 + }, + { + "epoch": 0.87, + "learning_rate": 4.5767364090238126e-05, + "loss": 1.9284, + "step": 6336 + }, + { + "epoch": 0.87, + "learning_rate": 4.567479611843606e-05, + "loss": 1.9174, + "step": 6337 + }, + { + "epoch": 0.87, + "learning_rate": 4.558231737370067e-05, + "loss": 1.9852, + "step": 6338 + }, + { + "epoch": 0.87, + "learning_rate": 4.5489927874194204e-05, + "loss": 1.9454, + "step": 6339 + }, + { + "epoch": 0.87, + "learning_rate": 4.53976276380616e-05, + "loss": 1.9569, + "step": 6340 + }, + { + "epoch": 0.87, + "learning_rate": 4.5305416683429915e-05, + "loss": 1.9573, + "step": 6341 + }, + { + "epoch": 0.87, + "learning_rate": 4.521329502840915e-05, + "loss": 2.0014, + "step": 6342 + }, + { + "epoch": 0.87, + "learning_rate": 4.512126269109135e-05, + "loss": 1.9455, + "step": 6343 + }, + { + "epoch": 0.87, + "learning_rate": 4.502931968955132e-05, + "loss": 2.0063, + "step": 6344 + }, + { + "epoch": 0.87, + "learning_rate": 4.4937466041846065e-05, + "loss": 1.9857, + "step": 6345 + }, + { + "epoch": 0.87, + "learning_rate": 4.4845701766015214e-05, + "loss": 1.9354, + "step": 6346 + }, + { + "epoch": 0.87, + "learning_rate": 4.4754026880080625e-05, + "loss": 2.0388, + "step": 6347 + }, + { + "epoch": 0.87, + "learning_rate": 4.466244140204701e-05, + "loss": 1.94, + "step": 6348 + }, + { + "epoch": 0.87, + "learning_rate": 4.4570945349901084e-05, + "loss": 1.9109, + "step": 6349 + }, + { + "epoch": 0.87, + "learning_rate": 4.4479538741612315e-05, + "loss": 1.9778, + "step": 6350 + }, + { + "epoch": 0.87, + "learning_rate": 4.4388221595132396e-05, + "loss": 1.9041, + "step": 6351 + }, + { + "epoch": 0.87, + "learning_rate": 4.429699392839554e-05, + "loss": 1.9235, + "step": 6352 + }, + { + "epoch": 0.87, + "learning_rate": 4.42058557593184e-05, + "loss": 2.0063, + "step": 6353 + }, + { + "epoch": 0.87, + "learning_rate": 4.411480710580007e-05, + "loss": 1.9811, + "step": 6354 + }, + { + "epoch": 0.87, + "learning_rate": 4.40238479857219e-05, + "loss": 1.9479, + "step": 6355 + }, + { + "epoch": 0.87, + "learning_rate": 4.393297841694793e-05, + "loss": 1.9324, + "step": 6356 + }, + { + "epoch": 0.87, + "learning_rate": 4.3842198417324344e-05, + "loss": 1.9106, + "step": 6357 + }, + { + "epoch": 0.87, + "learning_rate": 4.375150800467986e-05, + "loss": 2.0841, + "step": 6358 + }, + { + "epoch": 0.87, + "learning_rate": 4.366090719682575e-05, + "loss": 1.8757, + "step": 6359 + }, + { + "epoch": 0.87, + "learning_rate": 4.357039601155538e-05, + "loss": 2.0207, + "step": 6360 + }, + { + "epoch": 0.87, + "learning_rate": 4.34799744666447e-05, + "loss": 1.9425, + "step": 6361 + }, + { + "epoch": 0.87, + "learning_rate": 4.338964257985195e-05, + "loss": 1.9874, + "step": 6362 + }, + { + "epoch": 0.87, + "learning_rate": 4.329940036891788e-05, + "loss": 2.0912, + "step": 6363 + }, + { + "epoch": 0.87, + "learning_rate": 4.320924785156577e-05, + "loss": 1.8087, + "step": 6364 + }, + { + "epoch": 0.87, + "learning_rate": 4.3119185045500886e-05, + "loss": 2.0724, + "step": 6365 + }, + { + "epoch": 0.87, + "learning_rate": 4.30292119684112e-05, + "loss": 1.9426, + "step": 6366 + }, + { + "epoch": 0.87, + "learning_rate": 4.2939328637966846e-05, + "loss": 2.0409, + "step": 6367 + }, + { + "epoch": 0.87, + "learning_rate": 4.284953507182043e-05, + "loss": 1.9794, + "step": 6368 + }, + { + "epoch": 0.87, + "learning_rate": 4.275983128760696e-05, + "loss": 1.8852, + "step": 6369 + }, + { + "epoch": 0.87, + "learning_rate": 4.2670217302943905e-05, + "loss": 1.8343, + "step": 6370 + }, + { + "epoch": 0.87, + "learning_rate": 4.258069313543089e-05, + "loss": 1.9655, + "step": 6371 + }, + { + "epoch": 0.87, + "learning_rate": 4.249125880264998e-05, + "loss": 2.0647, + "step": 6372 + }, + { + "epoch": 0.87, + "learning_rate": 4.240191432216562e-05, + "loss": 1.887, + "step": 6373 + }, + { + "epoch": 0.87, + "learning_rate": 4.231265971152448e-05, + "loss": 1.8633, + "step": 6374 + }, + { + "epoch": 0.87, + "learning_rate": 4.222349498825584e-05, + "loss": 2.0307, + "step": 6375 + }, + { + "epoch": 0.87, + "learning_rate": 4.2134420169871125e-05, + "loss": 2.0078, + "step": 6376 + }, + { + "epoch": 0.87, + "learning_rate": 4.2045435273864175e-05, + "loss": 1.7464, + "step": 6377 + }, + { + "epoch": 0.87, + "learning_rate": 4.1956540317711176e-05, + "loss": 1.9655, + "step": 6378 + }, + { + "epoch": 0.87, + "learning_rate": 4.18677353188705e-05, + "loss": 1.9461, + "step": 6379 + }, + { + "epoch": 0.87, + "learning_rate": 4.177902029478314e-05, + "loss": 2.042, + "step": 6380 + }, + { + "epoch": 0.87, + "learning_rate": 4.1690395262872273e-05, + "loss": 1.9682, + "step": 6381 + }, + { + "epoch": 0.87, + "learning_rate": 4.160186024054313e-05, + "loss": 1.9416, + "step": 6382 + }, + { + "epoch": 0.87, + "learning_rate": 4.151341524518382e-05, + "loss": 1.8487, + "step": 6383 + }, + { + "epoch": 0.87, + "learning_rate": 4.142506029416432e-05, + "loss": 2.0063, + "step": 6384 + }, + { + "epoch": 0.87, + "learning_rate": 4.133679540483703e-05, + "loss": 1.9059, + "step": 6385 + }, + { + "epoch": 0.87, + "learning_rate": 4.1248620594536876e-05, + "loss": 2.0525, + "step": 6386 + }, + { + "epoch": 0.87, + "learning_rate": 4.116053588058083e-05, + "loss": 1.8896, + "step": 6387 + }, + { + "epoch": 0.87, + "learning_rate": 4.107254128026827e-05, + "loss": 1.7978, + "step": 6388 + }, + { + "epoch": 0.87, + "learning_rate": 4.098463681088071e-05, + "loss": 1.8863, + "step": 6389 + }, + { + "epoch": 0.87, + "learning_rate": 4.089682248968235e-05, + "loss": 2.0023, + "step": 6390 + }, + { + "epoch": 0.87, + "learning_rate": 4.080909833391944e-05, + "loss": 1.9831, + "step": 6391 + }, + { + "epoch": 0.87, + "learning_rate": 4.072146436082047e-05, + "loss": 1.928, + "step": 6392 + }, + { + "epoch": 0.87, + "learning_rate": 4.063392058759635e-05, + "loss": 1.9102, + "step": 6393 + }, + { + "epoch": 0.87, + "learning_rate": 4.0546467031440106e-05, + "loss": 1.8626, + "step": 6394 + }, + { + "epoch": 0.87, + "learning_rate": 4.045910370952716e-05, + "loss": 1.9623, + "step": 6395 + }, + { + "epoch": 0.88, + "learning_rate": 4.037183063901523e-05, + "loss": 1.9926, + "step": 6396 + }, + { + "epoch": 0.88, + "learning_rate": 4.028464783704444e-05, + "loss": 1.8729, + "step": 6397 + }, + { + "epoch": 0.88, + "learning_rate": 4.019755532073688e-05, + "loss": 1.9584, + "step": 6398 + }, + { + "epoch": 0.88, + "learning_rate": 4.0110553107197135e-05, + "loss": 1.8613, + "step": 6399 + }, + { + "epoch": 0.88, + "learning_rate": 4.002364121351187e-05, + "loss": 1.9487, + "step": 6400 + }, + { + "epoch": 0.88, + "learning_rate": 3.993681965675011e-05, + "loss": 2.1127, + "step": 6401 + }, + { + "epoch": 0.88, + "learning_rate": 3.985008845396332e-05, + "loss": 2.0087, + "step": 6402 + }, + { + "epoch": 0.88, + "learning_rate": 3.976344762218487e-05, + "loss": 1.9563, + "step": 6403 + }, + { + "epoch": 0.88, + "learning_rate": 3.967689717843071e-05, + "loss": 2.0, + "step": 6404 + }, + { + "epoch": 0.88, + "learning_rate": 3.959043713969879e-05, + "loss": 1.9392, + "step": 6405 + }, + { + "epoch": 0.88, + "learning_rate": 3.950406752296942e-05, + "loss": 1.8439, + "step": 6406 + }, + { + "epoch": 0.88, + "learning_rate": 3.9417788345205155e-05, + "loss": 1.9162, + "step": 6407 + }, + { + "epoch": 0.88, + "learning_rate": 3.933159962335081e-05, + "loss": 1.8677, + "step": 6408 + }, + { + "epoch": 0.88, + "learning_rate": 3.9245501374333246e-05, + "loss": 1.8853, + "step": 6409 + }, + { + "epoch": 0.88, + "learning_rate": 3.9159493615061934e-05, + "loss": 2.0069, + "step": 6410 + }, + { + "epoch": 0.88, + "learning_rate": 3.90735763624282e-05, + "loss": 1.8447, + "step": 6411 + }, + { + "epoch": 0.88, + "learning_rate": 3.8987749633305644e-05, + "loss": 1.929, + "step": 6412 + }, + { + "epoch": 0.88, + "learning_rate": 3.890201344455041e-05, + "loss": 2.0754, + "step": 6413 + }, + { + "epoch": 0.88, + "learning_rate": 3.8816367813000464e-05, + "loss": 2.0971, + "step": 6414 + }, + { + "epoch": 0.88, + "learning_rate": 3.873081275547624e-05, + "loss": 1.9233, + "step": 6415 + }, + { + "epoch": 0.88, + "learning_rate": 3.8645348288780134e-05, + "loss": 1.8838, + "step": 6416 + }, + { + "epoch": 0.88, + "learning_rate": 3.855997442969711e-05, + "loss": 1.9718, + "step": 6417 + }, + { + "epoch": 0.88, + "learning_rate": 3.847469119499408e-05, + "loss": 1.8967, + "step": 6418 + }, + { + "epoch": 0.88, + "learning_rate": 3.838949860142027e-05, + "loss": 2.0582, + "step": 6419 + }, + { + "epoch": 0.88, + "learning_rate": 3.8304396665707006e-05, + "loss": 1.9095, + "step": 6420 + }, + { + "epoch": 0.88, + "learning_rate": 3.821938540456782e-05, + "loss": 1.9699, + "step": 6421 + }, + { + "epoch": 0.88, + "learning_rate": 3.8134464834698454e-05, + "loss": 1.8025, + "step": 6422 + }, + { + "epoch": 0.88, + "learning_rate": 3.8049634972776915e-05, + "loss": 1.836, + "step": 6423 + }, + { + "epoch": 0.88, + "learning_rate": 3.7964895835463364e-05, + "loss": 1.8453, + "step": 6424 + }, + { + "epoch": 0.88, + "learning_rate": 3.788024743940016e-05, + "loss": 1.8928, + "step": 6425 + }, + { + "epoch": 0.88, + "learning_rate": 3.7795689801211675e-05, + "loss": 1.7927, + "step": 6426 + }, + { + "epoch": 0.88, + "learning_rate": 3.771122293750467e-05, + "loss": 1.95, + "step": 6427 + }, + { + "epoch": 0.88, + "learning_rate": 3.762684686486789e-05, + "loss": 1.9382, + "step": 6428 + }, + { + "epoch": 0.88, + "learning_rate": 3.754256159987246e-05, + "loss": 1.9547, + "step": 6429 + }, + { + "epoch": 0.88, + "learning_rate": 3.745836715907147e-05, + "loss": 2.0145, + "step": 6430 + }, + { + "epoch": 0.88, + "learning_rate": 3.737426355900037e-05, + "loss": 1.8595, + "step": 6431 + }, + { + "epoch": 0.88, + "learning_rate": 3.7290250816176595e-05, + "loss": 1.9241, + "step": 6432 + }, + { + "epoch": 0.88, + "learning_rate": 3.72063289470998e-05, + "loss": 1.8953, + "step": 6433 + }, + { + "epoch": 0.88, + "learning_rate": 3.712249796825173e-05, + "loss": 1.9166, + "step": 6434 + }, + { + "epoch": 0.88, + "learning_rate": 3.703875789609656e-05, + "loss": 1.8543, + "step": 6435 + }, + { + "epoch": 0.88, + "learning_rate": 3.6955108747080135e-05, + "loss": 1.8423, + "step": 6436 + }, + { + "epoch": 0.88, + "learning_rate": 3.687155053763092e-05, + "loss": 1.8807, + "step": 6437 + }, + { + "epoch": 0.88, + "learning_rate": 3.6788083284159165e-05, + "loss": 2.0306, + "step": 6438 + }, + { + "epoch": 0.88, + "learning_rate": 3.670470700305745e-05, + "loss": 2.0086, + "step": 6439 + }, + { + "epoch": 0.88, + "learning_rate": 3.662142171070043e-05, + "loss": 1.8948, + "step": 6440 + }, + { + "epoch": 0.88, + "learning_rate": 3.653822742344498e-05, + "loss": 1.8457, + "step": 6441 + }, + { + "epoch": 0.88, + "learning_rate": 3.6455124157629804e-05, + "loss": 1.9467, + "step": 6442 + }, + { + "epoch": 0.88, + "learning_rate": 3.637211192957618e-05, + "loss": 1.8813, + "step": 6443 + }, + { + "epoch": 0.88, + "learning_rate": 3.6289190755587064e-05, + "loss": 1.9334, + "step": 6444 + }, + { + "epoch": 0.88, + "learning_rate": 3.6206360651947934e-05, + "loss": 2.0339, + "step": 6445 + }, + { + "epoch": 0.88, + "learning_rate": 3.6123621634926104e-05, + "loss": 1.9659, + "step": 6446 + }, + { + "epoch": 0.88, + "learning_rate": 3.6040973720771033e-05, + "loss": 1.9713, + "step": 6447 + }, + { + "epoch": 0.88, + "learning_rate": 3.595841692571439e-05, + "loss": 1.9531, + "step": 6448 + }, + { + "epoch": 0.88, + "learning_rate": 3.587595126596976e-05, + "loss": 1.8397, + "step": 6449 + }, + { + "epoch": 0.88, + "learning_rate": 3.579357675773309e-05, + "loss": 1.8658, + "step": 6450 + }, + { + "epoch": 0.88, + "learning_rate": 3.571129341718238e-05, + "loss": 1.9189, + "step": 6451 + }, + { + "epoch": 0.88, + "learning_rate": 3.562910126047747e-05, + "loss": 1.8284, + "step": 6452 + }, + { + "epoch": 0.88, + "learning_rate": 3.554700030376062e-05, + "loss": 1.9641, + "step": 6453 + }, + { + "epoch": 0.88, + "learning_rate": 3.5464990563155885e-05, + "loss": 1.8722, + "step": 6454 + }, + { + "epoch": 0.88, + "learning_rate": 3.538307205476954e-05, + "loss": 1.9018, + "step": 6455 + }, + { + "epoch": 0.88, + "learning_rate": 3.530124479468999e-05, + "loss": 1.9818, + "step": 6456 + }, + { + "epoch": 0.88, + "learning_rate": 3.5219508798987774e-05, + "loss": 1.8841, + "step": 6457 + }, + { + "epoch": 0.88, + "learning_rate": 3.513786408371533e-05, + "loss": 1.9228, + "step": 6458 + }, + { + "epoch": 0.88, + "learning_rate": 3.5056310664907276e-05, + "loss": 1.8816, + "step": 6459 + }, + { + "epoch": 0.88, + "learning_rate": 3.497484855858019e-05, + "loss": 2.0235, + "step": 6460 + }, + { + "epoch": 0.88, + "learning_rate": 3.4893477780732817e-05, + "loss": 1.8625, + "step": 6461 + }, + { + "epoch": 0.88, + "learning_rate": 3.4812198347346006e-05, + "loss": 2.0024, + "step": 6462 + }, + { + "epoch": 0.88, + "learning_rate": 3.4731010274382524e-05, + "loss": 1.8677, + "step": 6463 + }, + { + "epoch": 0.88, + "learning_rate": 3.464991357778746e-05, + "loss": 1.8755, + "step": 6464 + }, + { + "epoch": 0.88, + "learning_rate": 3.4568908273487574e-05, + "loss": 1.9421, + "step": 6465 + }, + { + "epoch": 0.88, + "learning_rate": 3.448799437739192e-05, + "loss": 1.9223, + "step": 6466 + }, + { + "epoch": 0.88, + "learning_rate": 3.4407171905391666e-05, + "loss": 2.0332, + "step": 6467 + }, + { + "epoch": 0.88, + "learning_rate": 3.43264408733599e-05, + "loss": 1.9404, + "step": 6468 + }, + { + "epoch": 0.89, + "learning_rate": 3.4245801297151605e-05, + "loss": 1.9447, + "step": 6469 + }, + { + "epoch": 0.89, + "learning_rate": 3.4165253192604106e-05, + "loss": 1.9845, + "step": 6470 + }, + { + "epoch": 0.89, + "learning_rate": 3.4084796575536646e-05, + "loss": 1.8877, + "step": 6471 + }, + { + "epoch": 0.89, + "learning_rate": 3.400443146175036e-05, + "loss": 1.9356, + "step": 6472 + }, + { + "epoch": 0.89, + "learning_rate": 3.392415786702868e-05, + "loss": 1.8364, + "step": 6473 + }, + { + "epoch": 0.89, + "learning_rate": 3.384397580713683e-05, + "loss": 1.9108, + "step": 6474 + }, + { + "epoch": 0.89, + "learning_rate": 3.376388529782215e-05, + "loss": 2.0509, + "step": 6475 + }, + { + "epoch": 0.89, + "learning_rate": 3.3683886354813956e-05, + "loss": 1.9117, + "step": 6476 + }, + { + "epoch": 0.89, + "learning_rate": 3.360397899382361e-05, + "loss": 1.8782, + "step": 6477 + }, + { + "epoch": 0.89, + "learning_rate": 3.3524163230544634e-05, + "loss": 2.1087, + "step": 6478 + }, + { + "epoch": 0.89, + "learning_rate": 3.344443908065231e-05, + "loss": 1.7663, + "step": 6479 + }, + { + "epoch": 0.89, + "learning_rate": 3.336480655980406e-05, + "loss": 1.8563, + "step": 6480 + }, + { + "epoch": 0.89, + "learning_rate": 3.328526568363932e-05, + "loss": 1.9506, + "step": 6481 + }, + { + "epoch": 0.89, + "learning_rate": 3.3205816467779316e-05, + "loss": 1.9434, + "step": 6482 + }, + { + "epoch": 0.89, + "learning_rate": 3.312645892782767e-05, + "loss": 2.0297, + "step": 6483 + }, + { + "epoch": 0.89, + "learning_rate": 3.3047193079369764e-05, + "loss": 1.8595, + "step": 6484 + }, + { + "epoch": 0.89, + "learning_rate": 3.296801893797297e-05, + "loss": 1.89, + "step": 6485 + }, + { + "epoch": 0.89, + "learning_rate": 3.288893651918662e-05, + "loss": 1.9492, + "step": 6486 + }, + { + "epoch": 0.89, + "learning_rate": 3.2809945838542074e-05, + "loss": 1.8131, + "step": 6487 + }, + { + "epoch": 0.89, + "learning_rate": 3.2731046911552654e-05, + "loss": 1.797, + "step": 6488 + }, + { + "epoch": 0.89, + "learning_rate": 3.2652239753713897e-05, + "loss": 1.9329, + "step": 6489 + }, + { + "epoch": 0.89, + "learning_rate": 3.2573524380502814e-05, + "loss": 1.9682, + "step": 6490 + }, + { + "epoch": 0.89, + "learning_rate": 3.249490080737894e-05, + "loss": 1.7457, + "step": 6491 + }, + { + "epoch": 0.89, + "learning_rate": 3.241636904978346e-05, + "loss": 1.9746, + "step": 6492 + }, + { + "epoch": 0.89, + "learning_rate": 3.2337929123139434e-05, + "loss": 2.0142, + "step": 6493 + }, + { + "epoch": 0.89, + "learning_rate": 3.225958104285232e-05, + "loss": 2.0135, + "step": 6494 + }, + { + "epoch": 0.89, + "learning_rate": 3.2181324824309075e-05, + "loss": 2.0343, + "step": 6495 + }, + { + "epoch": 0.89, + "learning_rate": 3.210316048287881e-05, + "loss": 1.9998, + "step": 6496 + }, + { + "epoch": 0.89, + "learning_rate": 3.2025088033912685e-05, + "loss": 1.9218, + "step": 6497 + }, + { + "epoch": 0.89, + "learning_rate": 3.194710749274371e-05, + "loss": 1.9132, + "step": 6498 + }, + { + "epoch": 0.89, + "learning_rate": 3.186921887468669e-05, + "loss": 1.96, + "step": 6499 + }, + { + "epoch": 0.89, + "learning_rate": 3.179142219503878e-05, + "loss": 1.905, + "step": 6500 + }, + { + "epoch": 0.89, + "learning_rate": 3.171371746907864e-05, + "loss": 1.9272, + "step": 6501 + }, + { + "epoch": 0.89, + "learning_rate": 3.163610471206718e-05, + "loss": 1.8917, + "step": 6502 + }, + { + "epoch": 0.89, + "learning_rate": 3.1558583939247046e-05, + "loss": 2.0397, + "step": 6503 + }, + { + "epoch": 0.89, + "learning_rate": 3.1481155165842935e-05, + "loss": 2.1128, + "step": 6504 + }, + { + "epoch": 0.89, + "learning_rate": 3.1403818407061525e-05, + "loss": 1.9613, + "step": 6505 + }, + { + "epoch": 0.89, + "learning_rate": 3.132657367809133e-05, + "loss": 1.9699, + "step": 6506 + }, + { + "epoch": 0.89, + "learning_rate": 3.124942099410277e-05, + "loss": 2.0472, + "step": 6507 + }, + { + "epoch": 0.89, + "learning_rate": 3.1172360370248175e-05, + "loss": 1.9509, + "step": 6508 + }, + { + "epoch": 0.89, + "learning_rate": 3.109539182166182e-05, + "loss": 1.7575, + "step": 6509 + }, + { + "epoch": 0.89, + "learning_rate": 3.1018515363460065e-05, + "loss": 2.0255, + "step": 6510 + }, + { + "epoch": 0.89, + "learning_rate": 3.0941731010740934e-05, + "loss": 1.8186, + "step": 6511 + }, + { + "epoch": 0.89, + "learning_rate": 3.0865038778584595e-05, + "loss": 1.9601, + "step": 6512 + }, + { + "epoch": 0.89, + "learning_rate": 3.078843868205283e-05, + "loss": 1.8432, + "step": 6513 + }, + { + "epoch": 0.89, + "learning_rate": 3.071193073618961e-05, + "loss": 1.9302, + "step": 6514 + }, + { + "epoch": 0.89, + "learning_rate": 3.063551495602057e-05, + "loss": 1.9945, + "step": 6515 + }, + { + "epoch": 0.89, + "learning_rate": 3.05591913565535e-05, + "loss": 1.8181, + "step": 6516 + }, + { + "epoch": 0.89, + "learning_rate": 3.0482959952777778e-05, + "loss": 1.8672, + "step": 6517 + }, + { + "epoch": 0.89, + "learning_rate": 3.0406820759665056e-05, + "loss": 1.8954, + "step": 6518 + }, + { + "epoch": 0.89, + "learning_rate": 3.0330773792168588e-05, + "loss": 1.9262, + "step": 6519 + }, + { + "epoch": 0.89, + "learning_rate": 3.025481906522354e-05, + "loss": 1.9154, + "step": 6520 + }, + { + "epoch": 0.89, + "learning_rate": 3.0178956593747087e-05, + "loss": 1.9433, + "step": 6521 + }, + { + "epoch": 0.89, + "learning_rate": 3.0103186392638204e-05, + "loss": 2.0201, + "step": 6522 + }, + { + "epoch": 0.89, + "learning_rate": 3.0027508476777653e-05, + "loss": 1.8809, + "step": 6523 + }, + { + "epoch": 0.89, + "learning_rate": 2.995192286102838e-05, + "loss": 1.9248, + "step": 6524 + }, + { + "epoch": 0.89, + "learning_rate": 2.9876429560234896e-05, + "loss": 1.9721, + "step": 6525 + }, + { + "epoch": 0.89, + "learning_rate": 2.9801028589223567e-05, + "loss": 2.027, + "step": 6526 + }, + { + "epoch": 0.89, + "learning_rate": 2.972571996280293e-05, + "loss": 1.9559, + "step": 6527 + }, + { + "epoch": 0.89, + "learning_rate": 2.965050369576311e-05, + "loss": 2.0113, + "step": 6528 + }, + { + "epoch": 0.89, + "learning_rate": 2.957537980287617e-05, + "loss": 1.8544, + "step": 6529 + }, + { + "epoch": 0.89, + "learning_rate": 2.950034829889614e-05, + "loss": 1.9417, + "step": 6530 + }, + { + "epoch": 0.89, + "learning_rate": 2.9425409198558684e-05, + "loss": 1.966, + "step": 6531 + }, + { + "epoch": 0.89, + "learning_rate": 2.9350562516581524e-05, + "loss": 1.8532, + "step": 6532 + }, + { + "epoch": 0.89, + "learning_rate": 2.9275808267664184e-05, + "loss": 1.8545, + "step": 6533 + }, + { + "epoch": 0.89, + "learning_rate": 2.9201146466487915e-05, + "loss": 1.8519, + "step": 6534 + }, + { + "epoch": 0.89, + "learning_rate": 2.912657712771599e-05, + "loss": 1.8762, + "step": 6535 + }, + { + "epoch": 0.89, + "learning_rate": 2.905210026599331e-05, + "loss": 1.7473, + "step": 6536 + }, + { + "epoch": 0.89, + "learning_rate": 2.8977715895946775e-05, + "loss": 1.8802, + "step": 6537 + }, + { + "epoch": 0.89, + "learning_rate": 2.8903424032185156e-05, + "loss": 1.8661, + "step": 6538 + }, + { + "epoch": 0.89, + "learning_rate": 2.8829224689298994e-05, + "loss": 1.9679, + "step": 6539 + }, + { + "epoch": 0.89, + "learning_rate": 2.8755117881860582e-05, + "loss": 1.8159, + "step": 6540 + }, + { + "epoch": 0.89, + "learning_rate": 2.868110362442411e-05, + "loss": 1.8931, + "step": 6541 + }, + { + "epoch": 0.9, + "learning_rate": 2.8607181931525562e-05, + "loss": 1.9165, + "step": 6542 + }, + { + "epoch": 0.9, + "learning_rate": 2.8533352817682767e-05, + "loss": 1.9875, + "step": 6543 + }, + { + "epoch": 0.9, + "learning_rate": 2.845961629739546e-05, + "loss": 1.9745, + "step": 6544 + }, + { + "epoch": 0.9, + "learning_rate": 2.8385972385145064e-05, + "loss": 1.9806, + "step": 6545 + }, + { + "epoch": 0.9, + "learning_rate": 2.8312421095394837e-05, + "loss": 2.1433, + "step": 6546 + }, + { + "epoch": 0.9, + "learning_rate": 2.8238962442589834e-05, + "loss": 1.9854, + "step": 6547 + }, + { + "epoch": 0.9, + "learning_rate": 2.816559644115696e-05, + "loss": 1.8962, + "step": 6548 + }, + { + "epoch": 0.9, + "learning_rate": 2.8092323105505023e-05, + "loss": 1.8904, + "step": 6549 + }, + { + "epoch": 0.9, + "learning_rate": 2.8019142450024294e-05, + "loss": 1.9067, + "step": 6550 + }, + { + "epoch": 0.9, + "learning_rate": 2.794605448908727e-05, + "loss": 1.9179, + "step": 6551 + }, + { + "epoch": 0.9, + "learning_rate": 2.787305923704797e-05, + "loss": 2.0433, + "step": 6552 + }, + { + "epoch": 0.9, + "learning_rate": 2.780015670824221e-05, + "loss": 1.9681, + "step": 6553 + }, + { + "epoch": 0.9, + "learning_rate": 2.772734691698775e-05, + "loss": 1.8181, + "step": 6554 + }, + { + "epoch": 0.9, + "learning_rate": 2.7654629877584047e-05, + "loss": 2.021, + "step": 6555 + }, + { + "epoch": 0.9, + "learning_rate": 2.7582005604312232e-05, + "loss": 1.9278, + "step": 6556 + }, + { + "epoch": 0.9, + "learning_rate": 2.7509474111435506e-05, + "loss": 1.9551, + "step": 6557 + }, + { + "epoch": 0.9, + "learning_rate": 2.7437035413198475e-05, + "loss": 1.9729, + "step": 6558 + }, + { + "epoch": 0.9, + "learning_rate": 2.7364689523827925e-05, + "loss": 1.9307, + "step": 6559 + }, + { + "epoch": 0.9, + "learning_rate": 2.7292436457532044e-05, + "loss": 1.9161, + "step": 6560 + }, + { + "epoch": 0.9, + "learning_rate": 2.722027622850104e-05, + "loss": 1.8871, + "step": 6561 + }, + { + "epoch": 0.9, + "learning_rate": 2.714820885090674e-05, + "loss": 1.978, + "step": 6562 + }, + { + "epoch": 0.9, + "learning_rate": 2.707623433890277e-05, + "loss": 1.9883, + "step": 6563 + }, + { + "epoch": 0.9, + "learning_rate": 2.7004352706624602e-05, + "loss": 1.9838, + "step": 6564 + }, + { + "epoch": 0.9, + "learning_rate": 2.6932563968189493e-05, + "loss": 1.8113, + "step": 6565 + }, + { + "epoch": 0.9, + "learning_rate": 2.6860868137696225e-05, + "loss": 1.8808, + "step": 6566 + }, + { + "epoch": 0.9, + "learning_rate": 2.6789265229225536e-05, + "loss": 2.013, + "step": 6567 + }, + { + "epoch": 0.9, + "learning_rate": 2.6717755256839892e-05, + "loss": 1.9999, + "step": 6568 + }, + { + "epoch": 0.9, + "learning_rate": 2.6646338234583345e-05, + "loss": 1.9936, + "step": 6569 + }, + { + "epoch": 0.9, + "learning_rate": 2.6575014176481948e-05, + "loss": 1.9708, + "step": 6570 + }, + { + "epoch": 0.9, + "learning_rate": 2.6503783096543333e-05, + "loss": 1.8197, + "step": 6571 + }, + { + "epoch": 0.9, + "learning_rate": 2.6432645008756974e-05, + "loss": 1.9265, + "step": 6572 + }, + { + "epoch": 0.9, + "learning_rate": 2.6361599927093914e-05, + "loss": 1.8728, + "step": 6573 + }, + { + "epoch": 0.9, + "learning_rate": 2.6290647865507112e-05, + "loss": 1.8829, + "step": 6574 + }, + { + "epoch": 0.9, + "learning_rate": 2.6219788837931026e-05, + "loss": 1.9334, + "step": 6575 + }, + { + "epoch": 0.9, + "learning_rate": 2.6149022858282134e-05, + "loss": 2.0734, + "step": 6576 + }, + { + "epoch": 0.9, + "learning_rate": 2.6078349940458433e-05, + "loss": 1.9487, + "step": 6577 + }, + { + "epoch": 0.9, + "learning_rate": 2.6007770098339824e-05, + "loss": 1.9232, + "step": 6578 + }, + { + "epoch": 0.9, + "learning_rate": 2.593728334578771e-05, + "loss": 1.8672, + "step": 6579 + }, + { + "epoch": 0.9, + "learning_rate": 2.58668896966453e-05, + "loss": 1.9001, + "step": 6580 + }, + { + "epoch": 0.9, + "learning_rate": 2.5796589164737594e-05, + "loss": 1.9209, + "step": 6581 + }, + { + "epoch": 0.9, + "learning_rate": 2.5726381763871266e-05, + "loss": 1.8946, + "step": 6582 + }, + { + "epoch": 0.9, + "learning_rate": 2.565626750783456e-05, + "loss": 2.0556, + "step": 6583 + }, + { + "epoch": 0.9, + "learning_rate": 2.5586246410397697e-05, + "loss": 1.956, + "step": 6584 + }, + { + "epoch": 0.9, + "learning_rate": 2.551631848531233e-05, + "loss": 1.8892, + "step": 6585 + }, + { + "epoch": 0.9, + "learning_rate": 2.5446483746311976e-05, + "loss": 1.9337, + "step": 6586 + }, + { + "epoch": 0.9, + "learning_rate": 2.537674220711189e-05, + "loss": 1.9593, + "step": 6587 + }, + { + "epoch": 0.9, + "learning_rate": 2.530709388140878e-05, + "loss": 1.9841, + "step": 6588 + }, + { + "epoch": 0.9, + "learning_rate": 2.5237538782881376e-05, + "loss": 2.0809, + "step": 6589 + }, + { + "epoch": 0.9, + "learning_rate": 2.5168076925189743e-05, + "loss": 1.9406, + "step": 6590 + }, + { + "epoch": 0.9, + "learning_rate": 2.5098708321975915e-05, + "loss": 1.8659, + "step": 6591 + }, + { + "epoch": 0.9, + "learning_rate": 2.5029432986863608e-05, + "loss": 1.946, + "step": 6592 + }, + { + "epoch": 0.9, + "learning_rate": 2.4960250933458052e-05, + "loss": 1.9506, + "step": 6593 + }, + { + "epoch": 0.9, + "learning_rate": 2.4891162175346204e-05, + "loss": 2.0519, + "step": 6594 + }, + { + "epoch": 0.9, + "learning_rate": 2.4822166726096773e-05, + "loss": 1.8451, + "step": 6595 + }, + { + "epoch": 0.9, + "learning_rate": 2.4753264599260083e-05, + "loss": 1.9101, + "step": 6596 + }, + { + "epoch": 0.9, + "learning_rate": 2.468445580836809e-05, + "loss": 1.8938, + "step": 6597 + }, + { + "epoch": 0.9, + "learning_rate": 2.4615740366934647e-05, + "loss": 1.9263, + "step": 6598 + }, + { + "epoch": 0.9, + "learning_rate": 2.4547118288454963e-05, + "loss": 1.8917, + "step": 6599 + }, + { + "epoch": 0.9, + "learning_rate": 2.447858958640614e-05, + "loss": 1.9851, + "step": 6600 + }, + { + "epoch": 0.9, + "learning_rate": 2.4410154274246754e-05, + "loss": 2.0134, + "step": 6601 + }, + { + "epoch": 0.9, + "learning_rate": 2.434181236541716e-05, + "loss": 2.0673, + "step": 6602 + }, + { + "epoch": 0.9, + "learning_rate": 2.4273563873339398e-05, + "loss": 1.8474, + "step": 6603 + }, + { + "epoch": 0.9, + "learning_rate": 2.420540881141703e-05, + "loss": 1.9616, + "step": 6604 + }, + { + "epoch": 0.9, + "learning_rate": 2.4137347193035453e-05, + "loss": 1.8392, + "step": 6605 + }, + { + "epoch": 0.9, + "learning_rate": 2.406937903156159e-05, + "loss": 1.8976, + "step": 6606 + }, + { + "epoch": 0.9, + "learning_rate": 2.400150434034387e-05, + "loss": 1.9381, + "step": 6607 + }, + { + "epoch": 0.9, + "learning_rate": 2.3933723132712804e-05, + "loss": 1.9906, + "step": 6608 + }, + { + "epoch": 0.9, + "learning_rate": 2.386603542198007e-05, + "loss": 1.9881, + "step": 6609 + }, + { + "epoch": 0.9, + "learning_rate": 2.3798441221439093e-05, + "loss": 1.9936, + "step": 6610 + }, + { + "epoch": 0.9, + "learning_rate": 2.3730940544365252e-05, + "loss": 1.9695, + "step": 6611 + }, + { + "epoch": 0.9, + "learning_rate": 2.3663533404015226e-05, + "loss": 1.8813, + "step": 6612 + }, + { + "epoch": 0.9, + "learning_rate": 2.3596219813627362e-05, + "loss": 2.0355, + "step": 6613 + }, + { + "epoch": 0.9, + "learning_rate": 2.3528999786421755e-05, + "loss": 1.8423, + "step": 6614 + }, + { + "epoch": 0.91, + "learning_rate": 2.3461873335600016e-05, + "loss": 1.8874, + "step": 6615 + }, + { + "epoch": 0.91, + "learning_rate": 2.3394840474345424e-05, + "loss": 2.0342, + "step": 6616 + }, + { + "epoch": 0.91, + "learning_rate": 2.3327901215823013e-05, + "loss": 1.9613, + "step": 6617 + }, + { + "epoch": 0.91, + "learning_rate": 2.326105557317909e-05, + "loss": 1.9048, + "step": 6618 + }, + { + "epoch": 0.91, + "learning_rate": 2.319430355954194e-05, + "loss": 1.8109, + "step": 6619 + }, + { + "epoch": 0.91, + "learning_rate": 2.312764518802124e-05, + "loss": 2.0355, + "step": 6620 + }, + { + "epoch": 0.91, + "learning_rate": 2.3061080471708407e-05, + "loss": 1.9509, + "step": 6621 + }, + { + "epoch": 0.91, + "learning_rate": 2.2994609423676315e-05, + "loss": 1.9547, + "step": 6622 + }, + { + "epoch": 0.91, + "learning_rate": 2.292823205697947e-05, + "loss": 1.9992, + "step": 6623 + }, + { + "epoch": 0.91, + "learning_rate": 2.286194838465416e-05, + "loss": 1.9595, + "step": 6624 + }, + { + "epoch": 0.91, + "learning_rate": 2.279575841971815e-05, + "loss": 1.9199, + "step": 6625 + }, + { + "epoch": 0.91, + "learning_rate": 2.2729662175170808e-05, + "loss": 1.8222, + "step": 6626 + }, + { + "epoch": 0.91, + "learning_rate": 2.2663659663992975e-05, + "loss": 1.8347, + "step": 6627 + }, + { + "epoch": 0.91, + "learning_rate": 2.259775089914734e-05, + "loss": 1.8809, + "step": 6628 + }, + { + "epoch": 0.91, + "learning_rate": 2.2531935893577827e-05, + "loss": 1.9721, + "step": 6629 + }, + { + "epoch": 0.91, + "learning_rate": 2.2466214660210317e-05, + "loss": 1.8205, + "step": 6630 + }, + { + "epoch": 0.91, + "learning_rate": 2.2400587211952094e-05, + "loss": 1.8782, + "step": 6631 + }, + { + "epoch": 0.91, + "learning_rate": 2.2335053561692074e-05, + "loss": 1.9208, + "step": 6632 + }, + { + "epoch": 0.91, + "learning_rate": 2.2269613722300685e-05, + "loss": 1.9255, + "step": 6633 + }, + { + "epoch": 0.91, + "learning_rate": 2.2204267706629867e-05, + "loss": 1.9031, + "step": 6634 + }, + { + "epoch": 0.91, + "learning_rate": 2.213901552751335e-05, + "loss": 1.9396, + "step": 6635 + }, + { + "epoch": 0.91, + "learning_rate": 2.2073857197766277e-05, + "loss": 1.8827, + "step": 6636 + }, + { + "epoch": 0.91, + "learning_rate": 2.2008792730185413e-05, + "loss": 1.9212, + "step": 6637 + }, + { + "epoch": 0.91, + "learning_rate": 2.1943822137549086e-05, + "loss": 1.8031, + "step": 6638 + }, + { + "epoch": 0.91, + "learning_rate": 2.187894543261715e-05, + "loss": 1.8876, + "step": 6639 + }, + { + "epoch": 0.91, + "learning_rate": 2.181416262813102e-05, + "loss": 1.8276, + "step": 6640 + }, + { + "epoch": 0.91, + "learning_rate": 2.1749473736813797e-05, + "loss": 1.7627, + "step": 6641 + }, + { + "epoch": 0.91, + "learning_rate": 2.1684878771369933e-05, + "loss": 1.926, + "step": 6642 + }, + { + "epoch": 0.91, + "learning_rate": 2.1620377744485553e-05, + "loss": 1.988, + "step": 6643 + }, + { + "epoch": 0.91, + "learning_rate": 2.155597066882836e-05, + "loss": 1.8557, + "step": 6644 + }, + { + "epoch": 0.91, + "learning_rate": 2.1491657557047517e-05, + "loss": 1.9653, + "step": 6645 + }, + { + "epoch": 0.91, + "learning_rate": 2.142743842177386e-05, + "loss": 1.8697, + "step": 6646 + }, + { + "epoch": 0.91, + "learning_rate": 2.1363313275619633e-05, + "loss": 1.8717, + "step": 6647 + }, + { + "epoch": 0.91, + "learning_rate": 2.129928213117871e-05, + "loss": 1.7725, + "step": 6648 + }, + { + "epoch": 0.91, + "learning_rate": 2.1235345001026363e-05, + "loss": 1.8099, + "step": 6649 + }, + { + "epoch": 0.91, + "learning_rate": 2.1171501897719546e-05, + "loss": 1.9714, + "step": 6650 + }, + { + "epoch": 0.91, + "learning_rate": 2.1107752833796733e-05, + "loss": 1.9023, + "step": 6651 + }, + { + "epoch": 0.91, + "learning_rate": 2.104409782177802e-05, + "loss": 2.0602, + "step": 6652 + }, + { + "epoch": 0.91, + "learning_rate": 2.0980536874164736e-05, + "loss": 1.9636, + "step": 6653 + }, + { + "epoch": 0.91, + "learning_rate": 2.091707000344001e-05, + "loss": 1.8512, + "step": 6654 + }, + { + "epoch": 0.91, + "learning_rate": 2.0853697222068368e-05, + "loss": 1.9541, + "step": 6655 + }, + { + "epoch": 0.91, + "learning_rate": 2.079041854249586e-05, + "loss": 1.8815, + "step": 6656 + }, + { + "epoch": 0.91, + "learning_rate": 2.0727233977150094e-05, + "loss": 1.9724, + "step": 6657 + }, + { + "epoch": 0.91, + "learning_rate": 2.0664143538440263e-05, + "loss": 1.9563, + "step": 6658 + }, + { + "epoch": 0.91, + "learning_rate": 2.0601147238756945e-05, + "loss": 1.8157, + "step": 6659 + }, + { + "epoch": 0.91, + "learning_rate": 2.0538245090472252e-05, + "loss": 1.8561, + "step": 6660 + }, + { + "epoch": 0.91, + "learning_rate": 2.0475437105939798e-05, + "loss": 2.0359, + "step": 6661 + }, + { + "epoch": 0.91, + "learning_rate": 2.0412723297494883e-05, + "loss": 2.053, + "step": 6662 + }, + { + "epoch": 0.91, + "learning_rate": 2.0350103677454046e-05, + "loss": 1.8815, + "step": 6663 + }, + { + "epoch": 0.91, + "learning_rate": 2.0287578258115447e-05, + "loss": 1.9329, + "step": 6664 + }, + { + "epoch": 0.91, + "learning_rate": 2.0225147051758876e-05, + "loss": 1.9459, + "step": 6665 + }, + { + "epoch": 0.91, + "learning_rate": 2.0162810070645353e-05, + "loss": 1.8967, + "step": 6666 + }, + { + "epoch": 0.91, + "learning_rate": 2.010056732701754e-05, + "loss": 1.9541, + "step": 6667 + }, + { + "epoch": 0.91, + "learning_rate": 2.003841883309965e-05, + "loss": 1.9463, + "step": 6668 + }, + { + "epoch": 0.91, + "learning_rate": 1.997636460109731e-05, + "loss": 1.8523, + "step": 6669 + }, + { + "epoch": 0.91, + "learning_rate": 1.9914404643197604e-05, + "loss": 1.8505, + "step": 6670 + }, + { + "epoch": 0.91, + "learning_rate": 1.9852538971569133e-05, + "loss": 1.8065, + "step": 6671 + }, + { + "epoch": 0.91, + "learning_rate": 1.9790767598362014e-05, + "loss": 2.0095, + "step": 6672 + }, + { + "epoch": 0.91, + "learning_rate": 1.972909053570787e-05, + "loss": 1.9714, + "step": 6673 + }, + { + "epoch": 0.91, + "learning_rate": 1.9667507795719685e-05, + "loss": 1.8302, + "step": 6674 + }, + { + "epoch": 0.91, + "learning_rate": 1.9606019390492e-05, + "loss": 1.9497, + "step": 6675 + }, + { + "epoch": 0.91, + "learning_rate": 1.9544625332100718e-05, + "loss": 1.866, + "step": 6676 + }, + { + "epoch": 0.91, + "learning_rate": 1.9483325632603523e-05, + "loss": 1.9195, + "step": 6677 + }, + { + "epoch": 0.91, + "learning_rate": 1.9422120304039115e-05, + "loss": 1.9658, + "step": 6678 + }, + { + "epoch": 0.91, + "learning_rate": 1.936100935842805e-05, + "loss": 1.8349, + "step": 6679 + }, + { + "epoch": 0.91, + "learning_rate": 1.929999280777217e-05, + "loss": 1.8504, + "step": 6680 + }, + { + "epoch": 0.91, + "learning_rate": 1.9239070664054835e-05, + "loss": 1.9419, + "step": 6681 + }, + { + "epoch": 0.91, + "learning_rate": 1.9178242939240697e-05, + "loss": 1.7926, + "step": 6682 + }, + { + "epoch": 0.91, + "learning_rate": 1.911750964527609e-05, + "loss": 1.8809, + "step": 6683 + }, + { + "epoch": 0.91, + "learning_rate": 1.9056870794088687e-05, + "loss": 1.9456, + "step": 6684 + }, + { + "epoch": 0.91, + "learning_rate": 1.8996326397587695e-05, + "loss": 1.9299, + "step": 6685 + }, + { + "epoch": 0.91, + "learning_rate": 1.8935876467663703e-05, + "loss": 1.9956, + "step": 6686 + }, + { + "epoch": 0.91, + "learning_rate": 1.887552101618867e-05, + "loss": 1.7925, + "step": 6687 + }, + { + "epoch": 0.92, + "learning_rate": 1.881526005501616e-05, + "loss": 1.8089, + "step": 6688 + }, + { + "epoch": 0.92, + "learning_rate": 1.87550935959811e-05, + "loss": 1.6575, + "step": 6689 + }, + { + "epoch": 0.92, + "learning_rate": 1.8695021650899813e-05, + "loss": 1.9802, + "step": 6690 + }, + { + "epoch": 0.92, + "learning_rate": 1.8635044231570253e-05, + "loss": 1.8738, + "step": 6691 + }, + { + "epoch": 0.92, + "learning_rate": 1.8575161349771496e-05, + "loss": 2.0309, + "step": 6692 + }, + { + "epoch": 0.92, + "learning_rate": 1.851537301726436e-05, + "loss": 1.897, + "step": 6693 + }, + { + "epoch": 0.92, + "learning_rate": 1.8455679245790834e-05, + "loss": 1.8633, + "step": 6694 + }, + { + "epoch": 0.92, + "learning_rate": 1.8396080047074547e-05, + "loss": 1.9673, + "step": 6695 + }, + { + "epoch": 0.92, + "learning_rate": 1.8336575432820414e-05, + "loss": 1.8269, + "step": 6696 + }, + { + "epoch": 0.92, + "learning_rate": 1.827716541471486e-05, + "loss": 1.9843, + "step": 6697 + }, + { + "epoch": 0.92, + "learning_rate": 1.8217850004425717e-05, + "loss": 1.897, + "step": 6698 + }, + { + "epoch": 0.92, + "learning_rate": 1.8158629213602118e-05, + "loss": 2.0069, + "step": 6699 + }, + { + "epoch": 0.92, + "learning_rate": 1.8099503053874867e-05, + "loss": 1.8014, + "step": 6700 + }, + { + "epoch": 0.92, + "learning_rate": 1.8040471536855894e-05, + "loss": 1.9037, + "step": 6701 + }, + { + "epoch": 0.92, + "learning_rate": 1.7981534674138822e-05, + "loss": 1.9436, + "step": 6702 + }, + { + "epoch": 0.92, + "learning_rate": 1.792269247729833e-05, + "loss": 1.9481, + "step": 6703 + }, + { + "epoch": 0.92, + "learning_rate": 1.78639449578909e-05, + "loss": 1.9513, + "step": 6704 + }, + { + "epoch": 0.92, + "learning_rate": 1.7805292127454076e-05, + "loss": 1.9075, + "step": 6705 + }, + { + "epoch": 0.92, + "learning_rate": 1.774673399750715e-05, + "loss": 1.8654, + "step": 6706 + }, + { + "epoch": 0.92, + "learning_rate": 1.7688270579550526e-05, + "loss": 1.9451, + "step": 6707 + }, + { + "epoch": 0.92, + "learning_rate": 1.7629901885066134e-05, + "loss": 1.8801, + "step": 6708 + }, + { + "epoch": 0.92, + "learning_rate": 1.7571627925517197e-05, + "loss": 1.9728, + "step": 6709 + }, + { + "epoch": 0.92, + "learning_rate": 1.7513448712348446e-05, + "loss": 1.7914, + "step": 6710 + }, + { + "epoch": 0.92, + "learning_rate": 1.7455364256986016e-05, + "loss": 1.9432, + "step": 6711 + }, + { + "epoch": 0.92, + "learning_rate": 1.7397374570837454e-05, + "loss": 1.8713, + "step": 6712 + }, + { + "epoch": 0.92, + "learning_rate": 1.733947966529148e-05, + "loss": 1.9404, + "step": 6713 + }, + { + "epoch": 0.92, + "learning_rate": 1.7281679551718444e-05, + "loss": 2.0593, + "step": 6714 + }, + { + "epoch": 0.92, + "learning_rate": 1.7223974241469932e-05, + "loss": 2.02, + "step": 6715 + }, + { + "epoch": 0.92, + "learning_rate": 1.7166363745878932e-05, + "loss": 1.859, + "step": 6716 + }, + { + "epoch": 0.92, + "learning_rate": 1.7108848076259897e-05, + "loss": 1.8763, + "step": 6717 + }, + { + "epoch": 0.92, + "learning_rate": 1.7051427243908624e-05, + "loss": 1.9655, + "step": 6718 + }, + { + "epoch": 0.92, + "learning_rate": 1.6994101260102256e-05, + "loss": 1.9011, + "step": 6719 + }, + { + "epoch": 0.92, + "learning_rate": 1.693687013609929e-05, + "loss": 2.0428, + "step": 6720 + }, + { + "epoch": 0.92, + "learning_rate": 1.6879733883139513e-05, + "loss": 1.9406, + "step": 6721 + }, + { + "epoch": 0.92, + "learning_rate": 1.6822692512444337e-05, + "loss": 1.9358, + "step": 6722 + }, + { + "epoch": 0.92, + "learning_rate": 1.6765746035216357e-05, + "loss": 1.8918, + "step": 6723 + }, + { + "epoch": 0.92, + "learning_rate": 1.6708894462639457e-05, + "loss": 1.9944, + "step": 6724 + }, + { + "epoch": 0.92, + "learning_rate": 1.6652137805879154e-05, + "loss": 1.7996, + "step": 6725 + }, + { + "epoch": 0.92, + "learning_rate": 1.659547607608197e-05, + "loss": 1.9283, + "step": 6726 + }, + { + "epoch": 0.92, + "learning_rate": 1.6538909284376126e-05, + "loss": 1.817, + "step": 6727 + }, + { + "epoch": 0.92, + "learning_rate": 1.6482437441870947e-05, + "loss": 1.839, + "step": 6728 + }, + { + "epoch": 0.92, + "learning_rate": 1.642606055965723e-05, + "loss": 1.9329, + "step": 6729 + }, + { + "epoch": 0.92, + "learning_rate": 1.6369778648807065e-05, + "loss": 1.9229, + "step": 6730 + }, + { + "epoch": 0.92, + "learning_rate": 1.6313591720374055e-05, + "loss": 1.9743, + "step": 6731 + }, + { + "epoch": 0.92, + "learning_rate": 1.625749978539276e-05, + "loss": 1.959, + "step": 6732 + }, + { + "epoch": 0.92, + "learning_rate": 1.6201502854879646e-05, + "loss": 1.9237, + "step": 6733 + }, + { + "epoch": 0.92, + "learning_rate": 1.6145600939831973e-05, + "loss": 2.0271, + "step": 6734 + }, + { + "epoch": 0.92, + "learning_rate": 1.6089794051228736e-05, + "loss": 1.9936, + "step": 6735 + }, + { + "epoch": 0.92, + "learning_rate": 1.6034082200030053e-05, + "loss": 1.8614, + "step": 6736 + }, + { + "epoch": 0.92, + "learning_rate": 1.5978465397177344e-05, + "loss": 2.0153, + "step": 6737 + }, + { + "epoch": 0.92, + "learning_rate": 1.5922943653593537e-05, + "loss": 1.88, + "step": 6738 + }, + { + "epoch": 0.92, + "learning_rate": 1.586751698018285e-05, + "loss": 1.9726, + "step": 6739 + }, + { + "epoch": 0.92, + "learning_rate": 1.5812185387830803e-05, + "loss": 1.9553, + "step": 6740 + }, + { + "epoch": 0.92, + "learning_rate": 1.5756948887404143e-05, + "loss": 1.8744, + "step": 6741 + }, + { + "epoch": 0.92, + "learning_rate": 1.5701807489751084e-05, + "loss": 2.0042, + "step": 6742 + }, + { + "epoch": 0.92, + "learning_rate": 1.564676120570102e-05, + "loss": 2.0057, + "step": 6743 + }, + { + "epoch": 0.92, + "learning_rate": 1.5591810046064802e-05, + "loss": 1.7967, + "step": 6744 + }, + { + "epoch": 0.92, + "learning_rate": 1.5536954021634575e-05, + "loss": 1.8913, + "step": 6745 + }, + { + "epoch": 0.92, + "learning_rate": 1.548219314318383e-05, + "loss": 2.001, + "step": 6746 + }, + { + "epoch": 0.92, + "learning_rate": 1.542752742146719e-05, + "loss": 1.9602, + "step": 6747 + }, + { + "epoch": 0.92, + "learning_rate": 1.5372956867220676e-05, + "loss": 1.8742, + "step": 6748 + }, + { + "epoch": 0.92, + "learning_rate": 1.5318481491161884e-05, + "loss": 1.8623, + "step": 6749 + }, + { + "epoch": 0.92, + "learning_rate": 1.5264101303989253e-05, + "loss": 1.8264, + "step": 6750 + }, + { + "epoch": 0.92, + "learning_rate": 1.5209816316382852e-05, + "loss": 1.8058, + "step": 6751 + }, + { + "epoch": 0.92, + "learning_rate": 1.5155626539004041e-05, + "loss": 2.0301, + "step": 6752 + }, + { + "epoch": 0.92, + "learning_rate": 1.5101531982495309e-05, + "loss": 1.9737, + "step": 6753 + }, + { + "epoch": 0.92, + "learning_rate": 1.504753265748049e-05, + "loss": 1.9059, + "step": 6754 + }, + { + "epoch": 0.92, + "learning_rate": 1.4993628574564933e-05, + "loss": 1.8166, + "step": 6755 + }, + { + "epoch": 0.92, + "learning_rate": 1.4939819744335004e-05, + "loss": 1.8791, + "step": 6756 + }, + { + "epoch": 0.92, + "learning_rate": 1.4886106177358471e-05, + "loss": 1.8711, + "step": 6757 + }, + { + "epoch": 0.92, + "learning_rate": 1.4832487884184453e-05, + "loss": 1.7895, + "step": 6758 + }, + { + "epoch": 0.92, + "learning_rate": 1.4778964875343192e-05, + "loss": 1.8409, + "step": 6759 + }, + { + "epoch": 0.92, + "learning_rate": 1.4725537161346503e-05, + "loss": 1.9757, + "step": 6760 + }, + { + "epoch": 0.93, + "learning_rate": 1.4672204752687157e-05, + "loss": 1.9607, + "step": 6761 + }, + { + "epoch": 0.93, + "learning_rate": 1.4618967659839389e-05, + "loss": 1.9193, + "step": 6762 + }, + { + "epoch": 0.93, + "learning_rate": 1.4565825893258666e-05, + "loss": 1.9498, + "step": 6763 + }, + { + "epoch": 0.93, + "learning_rate": 1.4512779463381808e-05, + "loss": 1.9443, + "step": 6764 + }, + { + "epoch": 0.93, + "learning_rate": 1.445982838062676e-05, + "loss": 1.8218, + "step": 6765 + }, + { + "epoch": 0.93, + "learning_rate": 1.440697265539298e-05, + "loss": 1.9157, + "step": 6766 + }, + { + "epoch": 0.93, + "learning_rate": 1.4354212298060943e-05, + "loss": 1.9617, + "step": 6767 + }, + { + "epoch": 0.93, + "learning_rate": 1.4301547318992525e-05, + "loss": 1.8066, + "step": 6768 + }, + { + "epoch": 0.93, + "learning_rate": 1.4248977728530843e-05, + "loss": 2.0003, + "step": 6769 + }, + { + "epoch": 0.93, + "learning_rate": 1.4196503537000305e-05, + "loss": 1.9473, + "step": 6770 + }, + { + "epoch": 0.93, + "learning_rate": 1.41441247547065e-05, + "loss": 1.8514, + "step": 6771 + }, + { + "epoch": 0.93, + "learning_rate": 1.4091841391936478e-05, + "loss": 1.8528, + "step": 6772 + }, + { + "epoch": 0.93, + "learning_rate": 1.4039653458958301e-05, + "loss": 1.958, + "step": 6773 + }, + { + "epoch": 0.93, + "learning_rate": 1.3987560966021495e-05, + "loss": 1.8792, + "step": 6774 + }, + { + "epoch": 0.93, + "learning_rate": 1.3935563923356597e-05, + "loss": 1.9551, + "step": 6775 + }, + { + "epoch": 0.93, + "learning_rate": 1.3883662341175718e-05, + "loss": 1.8439, + "step": 6776 + }, + { + "epoch": 0.93, + "learning_rate": 1.3831856229671923e-05, + "loss": 1.9164, + "step": 6777 + }, + { + "epoch": 0.93, + "learning_rate": 1.37801455990198e-05, + "loss": 1.8383, + "step": 6778 + }, + { + "epoch": 0.93, + "learning_rate": 1.3728530459374944e-05, + "loss": 1.8042, + "step": 6779 + }, + { + "epoch": 0.93, + "learning_rate": 1.3677010820874304e-05, + "loss": 1.8026, + "step": 6780 + }, + { + "epoch": 0.93, + "learning_rate": 1.3625586693636004e-05, + "loss": 1.8869, + "step": 6781 + }, + { + "epoch": 0.93, + "learning_rate": 1.3574258087759639e-05, + "loss": 1.9476, + "step": 6782 + }, + { + "epoch": 0.93, + "learning_rate": 1.3523025013325752e-05, + "loss": 1.9141, + "step": 6783 + }, + { + "epoch": 0.93, + "learning_rate": 1.3471887480396239e-05, + "loss": 1.9724, + "step": 6784 + }, + { + "epoch": 0.93, + "learning_rate": 1.3420845499014289e-05, + "loss": 1.989, + "step": 6785 + }, + { + "epoch": 0.93, + "learning_rate": 1.3369899079204273e-05, + "loss": 1.8978, + "step": 6786 + }, + { + "epoch": 0.93, + "learning_rate": 1.3319048230971797e-05, + "loss": 1.9428, + "step": 6787 + }, + { + "epoch": 0.93, + "learning_rate": 1.3268292964303708e-05, + "loss": 2.0394, + "step": 6788 + }, + { + "epoch": 0.93, + "learning_rate": 1.321763328916803e-05, + "loss": 1.8529, + "step": 6789 + }, + { + "epoch": 0.93, + "learning_rate": 1.3167069215514027e-05, + "loss": 1.8475, + "step": 6790 + }, + { + "epoch": 0.93, + "learning_rate": 1.3116600753272367e-05, + "loss": 1.9261, + "step": 6791 + }, + { + "epoch": 0.93, + "learning_rate": 1.3066227912354623e-05, + "loss": 1.8927, + "step": 6792 + }, + { + "epoch": 0.93, + "learning_rate": 1.3015950702653822e-05, + "loss": 1.7924, + "step": 6793 + }, + { + "epoch": 0.93, + "learning_rate": 1.2965769134044181e-05, + "loss": 1.9145, + "step": 6794 + }, + { + "epoch": 0.93, + "learning_rate": 1.2915683216381091e-05, + "loss": 1.8137, + "step": 6795 + }, + { + "epoch": 0.93, + "learning_rate": 1.2865692959501075e-05, + "loss": 1.822, + "step": 6796 + }, + { + "epoch": 0.93, + "learning_rate": 1.2815798373221942e-05, + "loss": 1.7924, + "step": 6797 + }, + { + "epoch": 0.93, + "learning_rate": 1.276599946734286e-05, + "loss": 2.0063, + "step": 6798 + }, + { + "epoch": 0.93, + "learning_rate": 1.2716296251644e-05, + "loss": 1.9746, + "step": 6799 + }, + { + "epoch": 0.93, + "learning_rate": 1.2666688735886777e-05, + "loss": 1.8544, + "step": 6800 + }, + { + "epoch": 0.93, + "learning_rate": 1.2617176929813956e-05, + "loss": 1.9498, + "step": 6801 + }, + { + "epoch": 0.93, + "learning_rate": 1.25677608431492e-05, + "loss": 1.8998, + "step": 6802 + }, + { + "epoch": 0.93, + "learning_rate": 1.2518440485597749e-05, + "loss": 1.8135, + "step": 6803 + }, + { + "epoch": 0.93, + "learning_rate": 1.2469215866845795e-05, + "loss": 1.9258, + "step": 6804 + }, + { + "epoch": 0.93, + "learning_rate": 1.2420086996560776e-05, + "loss": 1.9233, + "step": 6805 + }, + { + "epoch": 0.93, + "learning_rate": 1.237105388439136e-05, + "loss": 1.9864, + "step": 6806 + }, + { + "epoch": 0.93, + "learning_rate": 1.2322116539967453e-05, + "loss": 1.9428, + "step": 6807 + }, + { + "epoch": 0.93, + "learning_rate": 1.2273274972899928e-05, + "loss": 1.8636, + "step": 6808 + }, + { + "epoch": 0.93, + "learning_rate": 1.2224529192781164e-05, + "loss": 1.9373, + "step": 6809 + }, + { + "epoch": 0.93, + "learning_rate": 1.2175879209184504e-05, + "loss": 1.9677, + "step": 6810 + }, + { + "epoch": 0.93, + "learning_rate": 1.2127325031664526e-05, + "loss": 1.8327, + "step": 6811 + }, + { + "epoch": 0.93, + "learning_rate": 1.2078866669757104e-05, + "loss": 2.0186, + "step": 6812 + }, + { + "epoch": 0.93, + "learning_rate": 1.203050413297907e-05, + "loss": 2.085, + "step": 6813 + }, + { + "epoch": 0.93, + "learning_rate": 1.1982237430828768e-05, + "loss": 2.0303, + "step": 6814 + }, + { + "epoch": 0.93, + "learning_rate": 1.1934066572785341e-05, + "loss": 1.8294, + "step": 6815 + }, + { + "epoch": 0.93, + "learning_rate": 1.1885991568309385e-05, + "loss": 1.8295, + "step": 6816 + }, + { + "epoch": 0.93, + "learning_rate": 1.1838012426842459e-05, + "loss": 1.8057, + "step": 6817 + }, + { + "epoch": 0.93, + "learning_rate": 1.1790129157807583e-05, + "loss": 1.8973, + "step": 6818 + }, + { + "epoch": 0.93, + "learning_rate": 1.1742341770608678e-05, + "loss": 1.9225, + "step": 6819 + }, + { + "epoch": 0.93, + "learning_rate": 1.1694650274630958e-05, + "loss": 1.8548, + "step": 6820 + }, + { + "epoch": 0.93, + "learning_rate": 1.1647054679240765e-05, + "loss": 1.8868, + "step": 6821 + }, + { + "epoch": 0.93, + "learning_rate": 1.1599554993785677e-05, + "loss": 2.0353, + "step": 6822 + }, + { + "epoch": 0.93, + "learning_rate": 1.1552151227594287e-05, + "loss": 2.0215, + "step": 6823 + }, + { + "epoch": 0.93, + "learning_rate": 1.1504843389976427e-05, + "loss": 1.8653, + "step": 6824 + }, + { + "epoch": 0.93, + "learning_rate": 1.1457631490223218e-05, + "loss": 1.8313, + "step": 6825 + }, + { + "epoch": 0.93, + "learning_rate": 1.1410515537606802e-05, + "loss": 1.8434, + "step": 6826 + }, + { + "epoch": 0.93, + "learning_rate": 1.1363495541380497e-05, + "loss": 1.8514, + "step": 6827 + }, + { + "epoch": 0.93, + "learning_rate": 1.131657151077875e-05, + "loss": 1.9857, + "step": 6828 + }, + { + "epoch": 0.93, + "learning_rate": 1.126974345501719e-05, + "loss": 1.8888, + "step": 6829 + }, + { + "epoch": 0.93, + "learning_rate": 1.1223011383292625e-05, + "loss": 1.7787, + "step": 6830 + }, + { + "epoch": 0.93, + "learning_rate": 1.1176375304782938e-05, + "loss": 1.8662, + "step": 6831 + }, + { + "epoch": 0.93, + "learning_rate": 1.11298352286473e-05, + "loss": 1.8625, + "step": 6832 + }, + { + "epoch": 0.93, + "learning_rate": 1.1083391164025902e-05, + "loss": 1.9628, + "step": 6833 + }, + { + "epoch": 0.94, + "learning_rate": 1.1037043120040058e-05, + "loss": 1.834, + "step": 6834 + }, + { + "epoch": 0.94, + "learning_rate": 1.099079110579232e-05, + "loss": 1.9193, + "step": 6835 + }, + { + "epoch": 0.94, + "learning_rate": 1.0944635130366364e-05, + "loss": 1.9347, + "step": 6836 + }, + { + "epoch": 0.94, + "learning_rate": 1.0898575202826943e-05, + "loss": 1.8868, + "step": 6837 + }, + { + "epoch": 0.94, + "learning_rate": 1.085261133221993e-05, + "loss": 2.0113, + "step": 6838 + }, + { + "epoch": 0.94, + "learning_rate": 1.0806743527572493e-05, + "loss": 2.0368, + "step": 6839 + }, + { + "epoch": 0.94, + "learning_rate": 1.0760971797892761e-05, + "loss": 1.9101, + "step": 6840 + }, + { + "epoch": 0.94, + "learning_rate": 1.0715296152170095e-05, + "loss": 1.8498, + "step": 6841 + }, + { + "epoch": 0.94, + "learning_rate": 1.0669716599374934e-05, + "loss": 1.9409, + "step": 6842 + }, + { + "epoch": 0.94, + "learning_rate": 1.0624233148458895e-05, + "loss": 1.8795, + "step": 6843 + }, + { + "epoch": 0.94, + "learning_rate": 1.0578845808354554e-05, + "loss": 1.966, + "step": 6844 + }, + { + "epoch": 0.94, + "learning_rate": 1.0533554587975946e-05, + "loss": 1.8594, + "step": 6845 + }, + { + "epoch": 0.94, + "learning_rate": 1.0488359496217847e-05, + "loss": 1.866, + "step": 6846 + }, + { + "epoch": 0.94, + "learning_rate": 1.0443260541956434e-05, + "loss": 1.929, + "step": 6847 + }, + { + "epoch": 0.94, + "learning_rate": 1.0398257734048899e-05, + "loss": 1.9986, + "step": 6848 + }, + { + "epoch": 0.94, + "learning_rate": 1.0353351081333561e-05, + "loss": 1.8509, + "step": 6849 + }, + { + "epoch": 0.94, + "learning_rate": 1.0308540592629757e-05, + "loss": 1.8821, + "step": 6850 + }, + { + "epoch": 0.94, + "learning_rate": 1.0263826276738164e-05, + "loss": 2.0304, + "step": 6851 + }, + { + "epoch": 0.94, + "learning_rate": 1.0219208142440317e-05, + "loss": 1.7575, + "step": 6852 + }, + { + "epoch": 0.94, + "learning_rate": 1.017468619849904e-05, + "loss": 1.9815, + "step": 6853 + }, + { + "epoch": 0.94, + "learning_rate": 1.0130260453658225e-05, + "loss": 1.8502, + "step": 6854 + }, + { + "epoch": 0.94, + "learning_rate": 1.0085930916642838e-05, + "loss": 1.8833, + "step": 6855 + }, + { + "epoch": 0.94, + "learning_rate": 1.0041697596158972e-05, + "loss": 1.8356, + "step": 6856 + }, + { + "epoch": 0.94, + "learning_rate": 9.997560500893732e-06, + "loss": 1.9682, + "step": 6857 + }, + { + "epoch": 0.94, + "learning_rate": 9.953519639515519e-06, + "loss": 1.9429, + "step": 6858 + }, + { + "epoch": 0.94, + "learning_rate": 9.90957502067369e-06, + "loss": 1.9138, + "step": 6859 + }, + { + "epoch": 0.94, + "learning_rate": 9.86572665299873e-06, + "loss": 2.0239, + "step": 6860 + }, + { + "epoch": 0.94, + "learning_rate": 9.821974545102252e-06, + "loss": 1.8858, + "step": 6861 + }, + { + "epoch": 0.94, + "learning_rate": 9.778318705576883e-06, + "loss": 1.9218, + "step": 6862 + }, + { + "epoch": 0.94, + "learning_rate": 9.73475914299643e-06, + "loss": 1.7473, + "step": 6863 + }, + { + "epoch": 0.94, + "learning_rate": 9.691295865915773e-06, + "loss": 2.0386, + "step": 6864 + }, + { + "epoch": 0.94, + "learning_rate": 9.64792888287086e-06, + "loss": 1.9343, + "step": 6865 + }, + { + "epoch": 0.94, + "learning_rate": 9.604658202378768e-06, + "loss": 1.9113, + "step": 6866 + }, + { + "epoch": 0.94, + "learning_rate": 9.561483832937535e-06, + "loss": 1.8945, + "step": 6867 + }, + { + "epoch": 0.94, + "learning_rate": 9.518405783026485e-06, + "loss": 1.993, + "step": 6868 + }, + { + "epoch": 0.94, + "learning_rate": 9.475424061105909e-06, + "loss": 1.8286, + "step": 6869 + }, + { + "epoch": 0.94, + "learning_rate": 9.432538675617108e-06, + "loss": 1.8927, + "step": 6870 + }, + { + "epoch": 0.94, + "learning_rate": 9.389749634982569e-06, + "loss": 1.7727, + "step": 6871 + }, + { + "epoch": 0.94, + "learning_rate": 9.347056947605903e-06, + "loss": 1.8757, + "step": 6872 + }, + { + "epoch": 0.94, + "learning_rate": 9.30446062187168e-06, + "loss": 1.867, + "step": 6873 + }, + { + "epoch": 0.94, + "learning_rate": 9.261960666145596e-06, + "loss": 1.8934, + "step": 6874 + }, + { + "epoch": 0.94, + "learning_rate": 9.219557088774421e-06, + "loss": 1.9971, + "step": 6875 + }, + { + "epoch": 0.94, + "learning_rate": 9.177249898085993e-06, + "loss": 1.8668, + "step": 6876 + }, + { + "epoch": 0.94, + "learning_rate": 9.135039102389165e-06, + "loss": 1.9313, + "step": 6877 + }, + { + "epoch": 0.94, + "learning_rate": 9.092924709973971e-06, + "loss": 2.069, + "step": 6878 + }, + { + "epoch": 0.94, + "learning_rate": 9.050906729111519e-06, + "loss": 1.9788, + "step": 6879 + }, + { + "epoch": 0.94, + "learning_rate": 9.008985168053819e-06, + "loss": 1.8701, + "step": 6880 + }, + { + "epoch": 0.94, + "learning_rate": 8.96716003503406e-06, + "loss": 1.8707, + "step": 6881 + }, + { + "epoch": 0.94, + "learning_rate": 8.92543133826651e-06, + "loss": 1.8019, + "step": 6882 + }, + { + "epoch": 0.94, + "learning_rate": 8.883799085946443e-06, + "loss": 1.7966, + "step": 6883 + }, + { + "epoch": 0.94, + "learning_rate": 8.842263286250208e-06, + "loss": 1.9699, + "step": 6884 + }, + { + "epoch": 0.94, + "learning_rate": 8.800823947335169e-06, + "loss": 1.9129, + "step": 6885 + }, + { + "epoch": 0.94, + "learning_rate": 8.759481077339927e-06, + "loss": 2.0223, + "step": 6886 + }, + { + "epoch": 0.94, + "learning_rate": 8.718234684383875e-06, + "loss": 1.9373, + "step": 6887 + }, + { + "epoch": 0.94, + "learning_rate": 8.6770847765677e-06, + "loss": 1.8558, + "step": 6888 + }, + { + "epoch": 0.94, + "learning_rate": 8.636031361972884e-06, + "loss": 1.8056, + "step": 6889 + }, + { + "epoch": 0.94, + "learning_rate": 8.595074448662199e-06, + "loss": 1.8582, + "step": 6890 + }, + { + "epoch": 0.94, + "learning_rate": 8.554214044679321e-06, + "loss": 2.0216, + "step": 6891 + }, + { + "epoch": 0.94, + "learning_rate": 8.513450158049108e-06, + "loss": 1.9842, + "step": 6892 + }, + { + "epoch": 0.94, + "learning_rate": 8.472782796777268e-06, + "loss": 1.8681, + "step": 6893 + }, + { + "epoch": 0.94, + "learning_rate": 8.432211968850744e-06, + "loss": 2.0676, + "step": 6894 + }, + { + "epoch": 0.94, + "learning_rate": 8.391737682237277e-06, + "loss": 2.0043, + "step": 6895 + }, + { + "epoch": 0.94, + "learning_rate": 8.351359944886006e-06, + "loss": 1.8662, + "step": 6896 + }, + { + "epoch": 0.94, + "learning_rate": 8.311078764726755e-06, + "loss": 1.8295, + "step": 6897 + }, + { + "epoch": 0.94, + "learning_rate": 8.270894149670582e-06, + "loss": 1.7661, + "step": 6898 + }, + { + "epoch": 0.94, + "learning_rate": 8.230806107609512e-06, + "loss": 1.876, + "step": 6899 + }, + { + "epoch": 0.94, + "learning_rate": 8.190814646416688e-06, + "loss": 1.879, + "step": 6900 + }, + { + "epoch": 0.94, + "learning_rate": 8.150919773946164e-06, + "loss": 2.0432, + "step": 6901 + }, + { + "epoch": 0.94, + "learning_rate": 8.111121498033113e-06, + "loss": 1.8065, + "step": 6902 + }, + { + "epoch": 0.94, + "learning_rate": 8.07141982649373e-06, + "loss": 2.0229, + "step": 6903 + }, + { + "epoch": 0.94, + "learning_rate": 8.031814767125112e-06, + "loss": 1.8731, + "step": 6904 + }, + { + "epoch": 0.94, + "learning_rate": 7.992306327705534e-06, + "loss": 1.8026, + "step": 6905 + }, + { + "epoch": 0.94, + "learning_rate": 7.95289451599429e-06, + "loss": 2.0604, + "step": 6906 + }, + { + "epoch": 0.94, + "learning_rate": 7.913579339731636e-06, + "loss": 2.0131, + "step": 6907 + }, + { + "epoch": 0.95, + "learning_rate": 7.874360806638836e-06, + "loss": 1.8486, + "step": 6908 + }, + { + "epoch": 0.95, + "learning_rate": 7.835238924418231e-06, + "loss": 1.8461, + "step": 6909 + }, + { + "epoch": 0.95, + "learning_rate": 7.79621370075312e-06, + "loss": 2.0728, + "step": 6910 + }, + { + "epoch": 0.95, + "learning_rate": 7.757285143307814e-06, + "loss": 1.8651, + "step": 6911 + }, + { + "epoch": 0.95, + "learning_rate": 7.718453259727699e-06, + "loss": 1.8477, + "step": 6912 + }, + { + "epoch": 0.95, + "learning_rate": 7.679718057639284e-06, + "loss": 1.9298, + "step": 6913 + }, + { + "epoch": 0.95, + "learning_rate": 7.64107954464982e-06, + "loss": 2.0118, + "step": 6914 + }, + { + "epoch": 0.95, + "learning_rate": 7.602537728347736e-06, + "loss": 1.9845, + "step": 6915 + }, + { + "epoch": 0.95, + "learning_rate": 7.56409261630242e-06, + "loss": 1.9424, + "step": 6916 + }, + { + "epoch": 0.95, + "learning_rate": 7.525744216064334e-06, + "loss": 1.8586, + "step": 6917 + }, + { + "epoch": 0.95, + "learning_rate": 7.4874925351648415e-06, + "loss": 1.9882, + "step": 6918 + }, + { + "epoch": 0.95, + "learning_rate": 7.449337581116489e-06, + "loss": 1.9791, + "step": 6919 + }, + { + "epoch": 0.95, + "learning_rate": 7.411279361412615e-06, + "loss": 2.0701, + "step": 6920 + }, + { + "epoch": 0.95, + "learning_rate": 7.37331788352763e-06, + "loss": 1.8533, + "step": 6921 + }, + { + "epoch": 0.95, + "learning_rate": 7.33545315491696e-06, + "loss": 1.9532, + "step": 6922 + }, + { + "epoch": 0.95, + "learning_rate": 7.2976851830171556e-06, + "loss": 1.8792, + "step": 6923 + }, + { + "epoch": 0.95, + "learning_rate": 7.260013975245561e-06, + "loss": 1.8578, + "step": 6924 + }, + { + "epoch": 0.95, + "learning_rate": 7.222439539000536e-06, + "loss": 1.8956, + "step": 6925 + }, + { + "epoch": 0.95, + "learning_rate": 7.1849618816616224e-06, + "loss": 1.8424, + "step": 6926 + }, + { + "epoch": 0.95, + "learning_rate": 7.14758101058921e-06, + "loss": 1.9401, + "step": 6927 + }, + { + "epoch": 0.95, + "learning_rate": 7.1102969331246495e-06, + "loss": 1.9771, + "step": 6928 + }, + { + "epoch": 0.95, + "learning_rate": 7.073109656590415e-06, + "loss": 1.9602, + "step": 6929 + }, + { + "epoch": 0.95, + "learning_rate": 7.0360191882898324e-06, + "loss": 1.9076, + "step": 6930 + }, + { + "epoch": 0.95, + "learning_rate": 6.999025535507242e-06, + "loss": 1.9336, + "step": 6931 + }, + { + "epoch": 0.95, + "learning_rate": 6.962128705508053e-06, + "loss": 1.8333, + "step": 6932 + }, + { + "epoch": 0.95, + "learning_rate": 6.925328705538636e-06, + "loss": 1.7702, + "step": 6933 + }, + { + "epoch": 0.95, + "learning_rate": 6.8886255428262655e-06, + "loss": 1.8699, + "step": 6934 + }, + { + "epoch": 0.95, + "learning_rate": 6.852019224579287e-06, + "loss": 1.8894, + "step": 6935 + }, + { + "epoch": 0.95, + "learning_rate": 6.815509757986948e-06, + "loss": 1.8967, + "step": 6936 + }, + { + "epoch": 0.95, + "learning_rate": 6.7790971502195154e-06, + "loss": 2.0144, + "step": 6937 + }, + { + "epoch": 0.95, + "learning_rate": 6.742781408428267e-06, + "loss": 1.9454, + "step": 6938 + }, + { + "epoch": 0.95, + "learning_rate": 6.7065625397453314e-06, + "loss": 1.8154, + "step": 6939 + }, + { + "epoch": 0.95, + "learning_rate": 6.670440551284074e-06, + "loss": 1.8204, + "step": 6940 + }, + { + "epoch": 0.95, + "learning_rate": 6.634415450138543e-06, + "loss": 1.9734, + "step": 6941 + }, + { + "epoch": 0.95, + "learning_rate": 6.598487243383855e-06, + "loss": 1.9507, + "step": 6942 + }, + { + "epoch": 0.95, + "learning_rate": 6.562655938076201e-06, + "loss": 1.8515, + "step": 6943 + }, + { + "epoch": 0.95, + "learning_rate": 6.526921541252618e-06, + "loss": 1.8219, + "step": 6944 + }, + { + "epoch": 0.95, + "learning_rate": 6.491284059931102e-06, + "loss": 1.845, + "step": 6945 + }, + { + "epoch": 0.95, + "learning_rate": 6.4557435011107775e-06, + "loss": 1.9304, + "step": 6946 + }, + { + "epoch": 0.95, + "learning_rate": 6.4202998717715625e-06, + "loss": 1.9352, + "step": 6947 + }, + { + "epoch": 0.95, + "learning_rate": 6.384953178874386e-06, + "loss": 2.0006, + "step": 6948 + }, + { + "epoch": 0.95, + "learning_rate": 6.349703429361142e-06, + "loss": 1.9671, + "step": 6949 + }, + { + "epoch": 0.95, + "learning_rate": 6.314550630154791e-06, + "loss": 1.882, + "step": 6950 + }, + { + "epoch": 0.95, + "learning_rate": 6.279494788159035e-06, + "loss": 1.7786, + "step": 6951 + }, + { + "epoch": 0.95, + "learning_rate": 6.2445359102586975e-06, + "loss": 1.8066, + "step": 6952 + }, + { + "epoch": 0.95, + "learning_rate": 6.209674003319565e-06, + "loss": 1.8955, + "step": 6953 + }, + { + "epoch": 0.95, + "learning_rate": 6.174909074188217e-06, + "loss": 1.774, + "step": 6954 + }, + { + "epoch": 0.95, + "learning_rate": 6.1402411296924694e-06, + "loss": 1.8039, + "step": 6955 + }, + { + "epoch": 0.95, + "learning_rate": 6.105670176640765e-06, + "loss": 1.6669, + "step": 6956 + }, + { + "epoch": 0.95, + "learning_rate": 6.071196221822783e-06, + "loss": 1.9641, + "step": 6957 + }, + { + "epoch": 0.95, + "learning_rate": 6.036819272008886e-06, + "loss": 1.9411, + "step": 6958 + }, + { + "epoch": 0.95, + "learning_rate": 6.002539333950618e-06, + "loss": 1.8482, + "step": 6959 + }, + { + "epoch": 0.95, + "learning_rate": 5.968356414380371e-06, + "loss": 1.8945, + "step": 6960 + }, + { + "epoch": 0.95, + "learning_rate": 5.9342705200114975e-06, + "loss": 1.847, + "step": 6961 + }, + { + "epoch": 0.95, + "learning_rate": 5.900281657538309e-06, + "loss": 1.9733, + "step": 6962 + }, + { + "epoch": 0.95, + "learning_rate": 5.866389833635965e-06, + "loss": 1.9337, + "step": 6963 + }, + { + "epoch": 0.95, + "learning_rate": 5.832595054960643e-06, + "loss": 1.9056, + "step": 6964 + }, + { + "epoch": 0.95, + "learning_rate": 5.798897328149477e-06, + "loss": 1.7699, + "step": 6965 + }, + { + "epoch": 0.95, + "learning_rate": 5.765296659820618e-06, + "loss": 1.8831, + "step": 6966 + }, + { + "epoch": 0.95, + "learning_rate": 5.7317930565728985e-06, + "loss": 1.8277, + "step": 6967 + }, + { + "epoch": 0.95, + "learning_rate": 5.698386524986388e-06, + "loss": 1.8731, + "step": 6968 + }, + { + "epoch": 0.95, + "learning_rate": 5.665077071621894e-06, + "loss": 1.9418, + "step": 6969 + }, + { + "epoch": 0.95, + "learning_rate": 5.631864703021183e-06, + "loss": 1.9588, + "step": 6970 + }, + { + "epoch": 0.95, + "learning_rate": 5.598749425707039e-06, + "loss": 1.9794, + "step": 6971 + }, + { + "epoch": 0.95, + "learning_rate": 5.565731246183037e-06, + "loss": 1.8376, + "step": 6972 + }, + { + "epoch": 0.95, + "learning_rate": 5.532810170933933e-06, + "loss": 1.9491, + "step": 6973 + }, + { + "epoch": 0.95, + "learning_rate": 5.499986206425167e-06, + "loss": 1.9013, + "step": 6974 + }, + { + "epoch": 0.95, + "learning_rate": 5.467259359103194e-06, + "loss": 1.8653, + "step": 6975 + }, + { + "epoch": 0.95, + "learning_rate": 5.434629635395316e-06, + "loss": 1.8375, + "step": 6976 + }, + { + "epoch": 0.95, + "learning_rate": 5.402097041709964e-06, + "loss": 1.9126, + "step": 6977 + }, + { + "epoch": 0.95, + "learning_rate": 5.369661584436247e-06, + "loss": 1.9438, + "step": 6978 + }, + { + "epoch": 0.95, + "learning_rate": 5.3373232699444605e-06, + "loss": 2.0162, + "step": 6979 + }, + { + "epoch": 0.95, + "learning_rate": 5.305082104585579e-06, + "loss": 1.8247, + "step": 6980 + }, + { + "epoch": 0.96, + "learning_rate": 5.272938094691648e-06, + "loss": 1.8876, + "step": 6981 + }, + { + "epoch": 0.96, + "learning_rate": 5.240891246575508e-06, + "loss": 1.9416, + "step": 6982 + }, + { + "epoch": 0.96, + "learning_rate": 5.208941566531067e-06, + "loss": 1.8408, + "step": 6983 + }, + { + "epoch": 0.96, + "learning_rate": 5.177089060833029e-06, + "loss": 1.8652, + "step": 6984 + }, + { + "epoch": 0.96, + "learning_rate": 5.1453337357370565e-06, + "loss": 1.9783, + "step": 6985 + }, + { + "epoch": 0.96, + "learning_rate": 5.113675597479772e-06, + "loss": 1.884, + "step": 6986 + }, + { + "epoch": 0.96, + "learning_rate": 5.082114652278591e-06, + "loss": 1.85, + "step": 6987 + }, + { + "epoch": 0.96, + "learning_rate": 5.050650906332e-06, + "loss": 1.8211, + "step": 6988 + }, + { + "epoch": 0.96, + "learning_rate": 5.019284365819277e-06, + "loss": 1.7588, + "step": 6989 + }, + { + "epoch": 0.96, + "learning_rate": 4.988015036900661e-06, + "loss": 2.0354, + "step": 6990 + }, + { + "epoch": 0.96, + "learning_rate": 4.9568429257171865e-06, + "loss": 1.9126, + "step": 6991 + }, + { + "epoch": 0.96, + "learning_rate": 4.92576803839101e-06, + "loss": 1.8136, + "step": 6992 + }, + { + "epoch": 0.96, + "learning_rate": 4.894790381025027e-06, + "loss": 1.8795, + "step": 6993 + }, + { + "epoch": 0.96, + "learning_rate": 4.8639099597030945e-06, + "loss": 1.8641, + "step": 6994 + }, + { + "epoch": 0.96, + "learning_rate": 4.833126780489972e-06, + "loss": 1.8302, + "step": 6995 + }, + { + "epoch": 0.96, + "learning_rate": 4.802440849431322e-06, + "loss": 1.8032, + "step": 6996 + }, + { + "epoch": 0.96, + "learning_rate": 4.771852172553659e-06, + "loss": 1.8657, + "step": 6997 + }, + { + "epoch": 0.96, + "learning_rate": 4.741360755864455e-06, + "loss": 1.8726, + "step": 6998 + }, + { + "epoch": 0.96, + "learning_rate": 4.71096660535203e-06, + "loss": 1.9249, + "step": 6999 + }, + { + "epoch": 0.96, + "learning_rate": 4.680669726985665e-06, + "loss": 1.9066, + "step": 7000 + }, + { + "epoch": 0.96, + "learning_rate": 4.650470126715545e-06, + "loss": 1.9387, + "step": 7001 + }, + { + "epoch": 0.96, + "learning_rate": 4.6203678104727034e-06, + "loss": 1.9487, + "step": 7002 + }, + { + "epoch": 0.96, + "learning_rate": 4.590362784169022e-06, + "loss": 2.0153, + "step": 7003 + }, + { + "epoch": 0.96, + "learning_rate": 4.560455053697343e-06, + "loss": 1.9357, + "step": 7004 + }, + { + "epoch": 0.96, + "learning_rate": 4.530644624931412e-06, + "loss": 1.8159, + "step": 7005 + }, + { + "epoch": 0.96, + "learning_rate": 4.500931503725825e-06, + "loss": 2.0223, + "step": 7006 + }, + { + "epoch": 0.96, + "learning_rate": 4.4713156959160786e-06, + "loss": 1.8086, + "step": 7007 + }, + { + "epoch": 0.96, + "learning_rate": 4.441797207318576e-06, + "loss": 1.9243, + "step": 7008 + }, + { + "epoch": 0.96, + "learning_rate": 4.41237604373057e-06, + "loss": 1.8806, + "step": 7009 + }, + { + "epoch": 0.96, + "learning_rate": 4.383052210930271e-06, + "loss": 1.9293, + "step": 7010 + }, + { + "epoch": 0.96, + "learning_rate": 4.353825714676685e-06, + "loss": 1.9567, + "step": 7011 + }, + { + "epoch": 0.96, + "learning_rate": 4.3246965607097176e-06, + "loss": 1.7306, + "step": 7012 + }, + { + "epoch": 0.96, + "learning_rate": 4.295664754750184e-06, + "loss": 1.8472, + "step": 7013 + }, + { + "epoch": 0.96, + "learning_rate": 4.2667303024998e-06, + "loss": 1.8849, + "step": 7014 + }, + { + "epoch": 0.96, + "learning_rate": 4.237893209641186e-06, + "loss": 1.9104, + "step": 7015 + }, + { + "epoch": 0.96, + "learning_rate": 4.2091534818377575e-06, + "loss": 1.9008, + "step": 7016 + }, + { + "epoch": 0.96, + "learning_rate": 4.180511124733832e-06, + "loss": 1.8948, + "step": 7017 + }, + { + "epoch": 0.96, + "learning_rate": 4.151966143954577e-06, + "loss": 1.9653, + "step": 7018 + }, + { + "epoch": 0.96, + "learning_rate": 4.12351854510612e-06, + "loss": 1.9241, + "step": 7019 + }, + { + "epoch": 0.96, + "learning_rate": 4.0951683337754345e-06, + "loss": 1.911, + "step": 7020 + }, + { + "epoch": 0.96, + "learning_rate": 4.066915515530345e-06, + "loss": 1.896, + "step": 7021 + }, + { + "epoch": 0.96, + "learning_rate": 4.0387600959195804e-06, + "loss": 1.9582, + "step": 7022 + }, + { + "epoch": 0.96, + "learning_rate": 4.010702080472662e-06, + "loss": 1.7969, + "step": 7023 + }, + { + "epoch": 0.96, + "learning_rate": 3.982741474700014e-06, + "loss": 1.919, + "step": 7024 + }, + { + "epoch": 0.96, + "learning_rate": 3.954878284093022e-06, + "loss": 1.9709, + "step": 7025 + }, + { + "epoch": 0.96, + "learning_rate": 3.9271125141238095e-06, + "loss": 1.825, + "step": 7026 + }, + { + "epoch": 0.96, + "learning_rate": 3.8994441702455144e-06, + "loss": 1.8955, + "step": 7027 + }, + { + "epoch": 0.96, + "learning_rate": 3.871873257891955e-06, + "loss": 1.9128, + "step": 7028 + }, + { + "epoch": 0.96, + "learning_rate": 3.844399782478025e-06, + "loss": 1.9676, + "step": 7029 + }, + { + "epoch": 0.96, + "learning_rate": 3.817023749399184e-06, + "loss": 1.9115, + "step": 7030 + }, + { + "epoch": 0.96, + "learning_rate": 3.7897451640321325e-06, + "loss": 1.7648, + "step": 7031 + }, + { + "epoch": 0.96, + "learning_rate": 3.7625640317341394e-06, + "loss": 1.8344, + "step": 7032 + }, + { + "epoch": 0.96, + "learning_rate": 3.735480357843435e-06, + "loss": 1.8569, + "step": 7033 + }, + { + "epoch": 0.96, + "learning_rate": 3.708494147679209e-06, + "loss": 1.9211, + "step": 7034 + }, + { + "epoch": 0.96, + "learning_rate": 3.6816054065412773e-06, + "loss": 1.9835, + "step": 7035 + }, + { + "epoch": 0.96, + "learning_rate": 3.6548141397104716e-06, + "loss": 1.9688, + "step": 7036 + }, + { + "epoch": 0.96, + "learning_rate": 3.628120352448583e-06, + "loss": 1.9807, + "step": 7037 + }, + { + "epoch": 0.96, + "learning_rate": 3.6015240499979175e-06, + "loss": 1.8223, + "step": 7038 + }, + { + "epoch": 0.96, + "learning_rate": 3.5750252375820747e-06, + "loss": 2.0611, + "step": 7039 + }, + { + "epoch": 0.96, + "learning_rate": 3.548623920405114e-06, + "loss": 1.8744, + "step": 7040 + }, + { + "epoch": 0.96, + "learning_rate": 3.5223201036521657e-06, + "loss": 1.9349, + "step": 7041 + }, + { + "epoch": 0.96, + "learning_rate": 3.4961137924892085e-06, + "loss": 1.998, + "step": 7042 + }, + { + "epoch": 0.96, + "learning_rate": 3.4700049920629584e-06, + "loss": 1.9459, + "step": 7043 + }, + { + "epoch": 0.96, + "learning_rate": 3.443993707501036e-06, + "loss": 1.7619, + "step": 7044 + }, + { + "epoch": 0.96, + "learning_rate": 3.418079943911967e-06, + "loss": 1.8475, + "step": 7045 + }, + { + "epoch": 0.96, + "learning_rate": 3.392263706385068e-06, + "loss": 1.9001, + "step": 7046 + }, + { + "epoch": 0.96, + "learning_rate": 3.366544999990506e-06, + "loss": 1.8329, + "step": 7047 + }, + { + "epoch": 0.96, + "learning_rate": 3.340923829779352e-06, + "loss": 1.8594, + "step": 7048 + }, + { + "epoch": 0.96, + "learning_rate": 3.3154002007833584e-06, + "loss": 1.9523, + "step": 7049 + }, + { + "epoch": 0.96, + "learning_rate": 3.289974118015293e-06, + "loss": 1.7657, + "step": 7050 + }, + { + "epoch": 0.96, + "learning_rate": 3.2646455864687176e-06, + "loss": 1.8695, + "step": 7051 + }, + { + "epoch": 0.96, + "learning_rate": 3.2394146111179858e-06, + "loss": 1.9231, + "step": 7052 + }, + { + "epoch": 0.96, + "learning_rate": 3.214281196918356e-06, + "loss": 1.8618, + "step": 7053 + }, + { + "epoch": 0.97, + "learning_rate": 3.1892453488058803e-06, + "loss": 1.7983, + "step": 7054 + }, + { + "epoch": 0.97, + "learning_rate": 3.1643070716974586e-06, + "loss": 1.9023, + "step": 7055 + }, + { + "epoch": 0.97, + "learning_rate": 3.1394663704908954e-06, + "loss": 1.825, + "step": 7056 + }, + { + "epoch": 0.97, + "learning_rate": 3.114723250064677e-06, + "loss": 1.8401, + "step": 7057 + }, + { + "epoch": 0.97, + "learning_rate": 3.0900777152783054e-06, + "loss": 1.986, + "step": 7058 + }, + { + "epoch": 0.97, + "learning_rate": 3.0655297709720198e-06, + "loss": 1.912, + "step": 7059 + }, + { + "epoch": 0.97, + "learning_rate": 3.0410794219668523e-06, + "loss": 1.9683, + "step": 7060 + }, + { + "epoch": 0.97, + "learning_rate": 3.016726673064796e-06, + "loss": 1.9058, + "step": 7061 + }, + { + "epoch": 0.97, + "learning_rate": 2.9924715290485237e-06, + "loss": 1.9845, + "step": 7062 + }, + { + "epoch": 0.97, + "learning_rate": 2.9683139946816707e-06, + "loss": 1.9547, + "step": 7063 + }, + { + "epoch": 0.97, + "learning_rate": 2.944254074708608e-06, + "loss": 2.1124, + "step": 7064 + }, + { + "epoch": 0.97, + "learning_rate": 2.920291773854611e-06, + "loss": 1.8639, + "step": 7065 + }, + { + "epoch": 0.97, + "learning_rate": 2.8964270968258046e-06, + "loss": 1.9878, + "step": 7066 + }, + { + "epoch": 0.97, + "learning_rate": 2.872660048308995e-06, + "loss": 1.9655, + "step": 7067 + }, + { + "epoch": 0.97, + "learning_rate": 2.848990632971893e-06, + "loss": 1.9018, + "step": 7068 + }, + { + "epoch": 0.97, + "learning_rate": 2.825418855463113e-06, + "loss": 2.0207, + "step": 7069 + }, + { + "epoch": 0.97, + "learning_rate": 2.8019447204120085e-06, + "loss": 1.9636, + "step": 7070 + }, + { + "epoch": 0.97, + "learning_rate": 2.77856823242878e-06, + "loss": 1.9082, + "step": 7071 + }, + { + "epoch": 0.97, + "learning_rate": 2.7552893961043657e-06, + "loss": 2.0033, + "step": 7072 + }, + { + "epoch": 0.97, + "learning_rate": 2.7321082160107203e-06, + "loss": 1.9038, + "step": 7073 + }, + { + "epoch": 0.97, + "learning_rate": 2.709024696700424e-06, + "loss": 2.1055, + "step": 7074 + }, + { + "epoch": 0.97, + "learning_rate": 2.6860388427070725e-06, + "loss": 1.8805, + "step": 7075 + }, + { + "epoch": 0.97, + "learning_rate": 2.663150658544833e-06, + "loss": 1.8605, + "step": 7076 + }, + { + "epoch": 0.97, + "learning_rate": 2.640360148708887e-06, + "loss": 1.9705, + "step": 7077 + }, + { + "epoch": 0.97, + "learning_rate": 2.617667317675154e-06, + "loss": 1.8266, + "step": 7078 + }, + { + "epoch": 0.97, + "learning_rate": 2.595072169900348e-06, + "loss": 1.7372, + "step": 7079 + }, + { + "epoch": 0.97, + "learning_rate": 2.5725747098221397e-06, + "loss": 1.897, + "step": 7080 + }, + { + "epoch": 0.97, + "learning_rate": 2.5501749418588294e-06, + "loss": 1.8801, + "step": 7081 + }, + { + "epoch": 0.97, + "learning_rate": 2.5278728704096756e-06, + "loss": 2.0932, + "step": 7082 + }, + { + "epoch": 0.97, + "learning_rate": 2.5056684998546187e-06, + "loss": 1.9487, + "step": 7083 + }, + { + "epoch": 0.97, + "learning_rate": 2.4835618345545043e-06, + "loss": 1.9597, + "step": 7084 + }, + { + "epoch": 0.97, + "learning_rate": 2.46155287885097e-06, + "loss": 1.8347, + "step": 7085 + }, + { + "epoch": 0.97, + "learning_rate": 2.439641637066392e-06, + "loss": 1.9426, + "step": 7086 + }, + { + "epoch": 0.97, + "learning_rate": 2.4178281135041614e-06, + "loss": 1.9752, + "step": 7087 + }, + { + "epoch": 0.97, + "learning_rate": 2.3961123124482397e-06, + "loss": 2.0034, + "step": 7088 + }, + { + "epoch": 0.97, + "learning_rate": 2.3744942381635493e-06, + "loss": 1.9146, + "step": 7089 + }, + { + "epoch": 0.97, + "learning_rate": 2.3529738948956934e-06, + "loss": 1.9131, + "step": 7090 + }, + { + "epoch": 0.97, + "learning_rate": 2.3315512868712364e-06, + "loss": 1.9131, + "step": 7091 + }, + { + "epoch": 0.97, + "learning_rate": 2.310226418297423e-06, + "loss": 1.8986, + "step": 7092 + }, + { + "epoch": 0.97, + "learning_rate": 2.288999293362293e-06, + "loss": 1.9651, + "step": 7093 + }, + { + "epoch": 0.97, + "learning_rate": 2.2678699162348438e-06, + "loss": 1.9087, + "step": 7094 + }, + { + "epoch": 0.97, + "learning_rate": 2.2468382910647014e-06, + "loss": 2.0645, + "step": 7095 + }, + { + "epoch": 0.97, + "learning_rate": 2.2259044219823943e-06, + "loss": 1.9741, + "step": 7096 + }, + { + "epoch": 0.97, + "learning_rate": 2.2050683130992456e-06, + "loss": 1.8771, + "step": 7097 + }, + { + "epoch": 0.97, + "learning_rate": 2.184329968507259e-06, + "loss": 1.8795, + "step": 7098 + }, + { + "epoch": 0.97, + "learning_rate": 2.163689392279511e-06, + "loss": 1.8158, + "step": 7099 + }, + { + "epoch": 0.97, + "learning_rate": 2.1431465884695356e-06, + "loss": 1.997, + "step": 7100 + }, + { + "epoch": 0.97, + "learning_rate": 2.122701561111884e-06, + "loss": 1.8446, + "step": 7101 + }, + { + "epoch": 0.97, + "learning_rate": 2.102354314221844e-06, + "loss": 2.0127, + "step": 7102 + }, + { + "epoch": 0.97, + "learning_rate": 2.0821048517955523e-06, + "loss": 1.9264, + "step": 7103 + }, + { + "epoch": 0.97, + "learning_rate": 2.061953177809883e-06, + "loss": 1.7942, + "step": 7104 + }, + { + "epoch": 0.97, + "learning_rate": 2.0418992962224494e-06, + "loss": 1.9566, + "step": 7105 + }, + { + "epoch": 0.97, + "learning_rate": 2.0219432109718216e-06, + "loss": 1.8007, + "step": 7106 + }, + { + "epoch": 0.97, + "learning_rate": 2.0020849259771987e-06, + "loss": 1.7845, + "step": 7107 + }, + { + "epoch": 0.97, + "learning_rate": 1.9823244451386835e-06, + "loss": 1.9289, + "step": 7108 + }, + { + "epoch": 0.97, + "learning_rate": 1.962661772337171e-06, + "loss": 1.7452, + "step": 7109 + }, + { + "epoch": 0.97, + "learning_rate": 1.9430969114341836e-06, + "loss": 1.8185, + "step": 7110 + }, + { + "epoch": 0.97, + "learning_rate": 1.9236298662722586e-06, + "loss": 1.9342, + "step": 7111 + }, + { + "epoch": 0.97, + "learning_rate": 1.90426064067456e-06, + "loss": 1.9075, + "step": 7112 + }, + { + "epoch": 0.97, + "learning_rate": 1.8849892384451561e-06, + "loss": 1.7947, + "step": 7113 + }, + { + "epoch": 0.97, + "learning_rate": 1.8658156633687973e-06, + "loss": 1.818, + "step": 7114 + }, + { + "epoch": 0.97, + "learning_rate": 1.8467399192111379e-06, + "loss": 1.9673, + "step": 7115 + }, + { + "epoch": 0.97, + "learning_rate": 1.8277620097184589e-06, + "loss": 1.8029, + "step": 7116 + }, + { + "epoch": 0.97, + "learning_rate": 1.808881938618001e-06, + "loss": 1.8045, + "step": 7117 + }, + { + "epoch": 0.97, + "learning_rate": 1.7900997096176875e-06, + "loss": 1.94, + "step": 7118 + }, + { + "epoch": 0.97, + "learning_rate": 1.7714153264062338e-06, + "loss": 1.9285, + "step": 7119 + }, + { + "epoch": 0.97, + "learning_rate": 1.7528287926531495e-06, + "loss": 2.0376, + "step": 7120 + }, + { + "epoch": 0.97, + "learning_rate": 1.734340112008792e-06, + "loss": 1.8614, + "step": 7121 + }, + { + "epoch": 0.97, + "learning_rate": 1.7159492881041461e-06, + "loss": 1.9202, + "step": 7122 + }, + { + "epoch": 0.97, + "learning_rate": 1.6976563245511557e-06, + "loss": 1.9194, + "step": 7123 + }, + { + "epoch": 0.97, + "learning_rate": 1.6794612249424469e-06, + "loss": 1.8829, + "step": 7124 + }, + { + "epoch": 0.97, + "learning_rate": 1.6613639928513834e-06, + "loss": 1.9428, + "step": 7125 + }, + { + "epoch": 0.97, + "learning_rate": 1.6433646318321782e-06, + "loss": 1.8691, + "step": 7126 + }, + { + "epoch": 0.98, + "learning_rate": 1.625463145419892e-06, + "loss": 1.9304, + "step": 7127 + }, + { + "epoch": 0.98, + "learning_rate": 1.6076595371302128e-06, + "loss": 1.9033, + "step": 7128 + }, + { + "epoch": 0.98, + "learning_rate": 1.5899538104596767e-06, + "loss": 1.9842, + "step": 7129 + }, + { + "epoch": 0.98, + "learning_rate": 1.5723459688856135e-06, + "loss": 1.829, + "step": 7130 + }, + { + "epoch": 0.98, + "learning_rate": 1.5548360158661456e-06, + "loss": 2.0489, + "step": 7131 + }, + { + "epoch": 0.98, + "learning_rate": 1.5374239548400226e-06, + "loss": 1.935, + "step": 7132 + }, + { + "epoch": 0.98, + "learning_rate": 1.5201097892269533e-06, + "loss": 1.9105, + "step": 7133 + }, + { + "epoch": 0.98, + "learning_rate": 1.5028935224273843e-06, + "loss": 1.8021, + "step": 7134 + }, + { + "epoch": 0.98, + "learning_rate": 1.4857751578225e-06, + "loss": 1.8726, + "step": 7135 + }, + { + "epoch": 0.98, + "learning_rate": 1.4687546987741663e-06, + "loss": 1.8863, + "step": 7136 + }, + { + "epoch": 0.98, + "learning_rate": 1.451832148625154e-06, + "loss": 1.8866, + "step": 7137 + }, + { + "epoch": 0.98, + "learning_rate": 1.4350075106989713e-06, + "loss": 1.9047, + "step": 7138 + }, + { + "epoch": 0.98, + "learning_rate": 1.4182807882999193e-06, + "loss": 1.8075, + "step": 7139 + }, + { + "epoch": 0.98, + "learning_rate": 1.4016519847129817e-06, + "loss": 1.8004, + "step": 7140 + }, + { + "epoch": 0.98, + "learning_rate": 1.3851211032040457e-06, + "loss": 1.9008, + "step": 7141 + }, + { + "epoch": 0.98, + "learning_rate": 1.36868814701957e-06, + "loss": 1.9555, + "step": 7142 + }, + { + "epoch": 0.98, + "learning_rate": 1.3523531193870287e-06, + "loss": 1.8599, + "step": 7143 + }, + { + "epoch": 0.98, + "learning_rate": 1.336116023514411e-06, + "loss": 2.0628, + "step": 7144 + }, + { + "epoch": 0.98, + "learning_rate": 1.3199768625906661e-06, + "loss": 1.9017, + "step": 7145 + }, + { + "epoch": 0.98, + "learning_rate": 1.3039356397854807e-06, + "loss": 1.9876, + "step": 7146 + }, + { + "epoch": 0.98, + "learning_rate": 1.287992358249168e-06, + "loss": 1.8233, + "step": 7147 + }, + { + "epoch": 0.98, + "learning_rate": 1.2721470211130015e-06, + "loss": 1.9391, + "step": 7148 + }, + { + "epoch": 0.98, + "learning_rate": 1.2563996314888248e-06, + "loss": 1.8981, + "step": 7149 + }, + { + "epoch": 0.98, + "learning_rate": 1.240750192469442e-06, + "loss": 1.917, + "step": 7150 + }, + { + "epoch": 0.98, + "learning_rate": 1.2251987071282279e-06, + "loss": 1.941, + "step": 7151 + }, + { + "epoch": 0.98, + "learning_rate": 1.2097451785194614e-06, + "loss": 1.8353, + "step": 7152 + }, + { + "epoch": 0.98, + "learning_rate": 1.1943896096781037e-06, + "loss": 1.9342, + "step": 7153 + }, + { + "epoch": 0.98, + "learning_rate": 1.1791320036199648e-06, + "loss": 1.9714, + "step": 7154 + }, + { + "epoch": 0.98, + "learning_rate": 1.1639723633415366e-06, + "loss": 1.8539, + "step": 7155 + }, + { + "epoch": 0.98, + "learning_rate": 1.1489106918200486e-06, + "loss": 1.816, + "step": 7156 + }, + { + "epoch": 0.98, + "learning_rate": 1.1339469920135793e-06, + "loss": 1.7076, + "step": 7157 + }, + { + "epoch": 0.98, + "learning_rate": 1.1190812668608885e-06, + "loss": 1.8282, + "step": 7158 + }, + { + "epoch": 0.98, + "learning_rate": 1.1043135192815302e-06, + "loss": 1.9492, + "step": 7159 + }, + { + "epoch": 0.98, + "learning_rate": 1.0896437521757951e-06, + "loss": 1.8393, + "step": 7160 + }, + { + "epoch": 0.98, + "learning_rate": 1.0750719684248233e-06, + "loss": 1.9389, + "step": 7161 + }, + { + "epoch": 0.98, + "learning_rate": 1.0605981708903811e-06, + "loss": 1.9475, + "step": 7162 + }, + { + "epoch": 0.98, + "learning_rate": 1.0462223624150835e-06, + "loss": 1.949, + "step": 7163 + }, + { + "epoch": 0.98, + "learning_rate": 1.031944545822172e-06, + "loss": 1.8428, + "step": 7164 + }, + { + "epoch": 0.98, + "learning_rate": 1.0177647239158483e-06, + "loss": 1.8848, + "step": 7165 + }, + { + "epoch": 0.98, + "learning_rate": 1.0036828994808845e-06, + "loss": 1.9146, + "step": 7166 + }, + { + "epoch": 0.98, + "learning_rate": 9.89699075282846e-07, + "loss": 1.932, + "step": 7167 + }, + { + "epoch": 0.98, + "learning_rate": 9.75813254068203e-07, + "loss": 1.863, + "step": 7168 + }, + { + "epoch": 0.98, + "learning_rate": 9.620254385639404e-07, + "loss": 1.872, + "step": 7169 + }, + { + "epoch": 0.98, + "learning_rate": 9.483356314779478e-07, + "loss": 2.0262, + "step": 7170 + }, + { + "epoch": 0.98, + "learning_rate": 9.347438354988524e-07, + "loss": 1.9853, + "step": 7171 + }, + { + "epoch": 0.98, + "learning_rate": 9.212500532960189e-07, + "loss": 1.8674, + "step": 7172 + }, + { + "epoch": 0.98, + "learning_rate": 9.07854287519494e-07, + "loss": 1.8658, + "step": 7173 + }, + { + "epoch": 0.98, + "learning_rate": 8.945565408002287e-07, + "loss": 1.9333, + "step": 7174 + }, + { + "epoch": 0.98, + "learning_rate": 8.813568157496899e-07, + "loss": 1.8105, + "step": 7175 + }, + { + "epoch": 0.98, + "learning_rate": 8.682551149604146e-07, + "loss": 1.8084, + "step": 7176 + }, + { + "epoch": 0.98, + "learning_rate": 8.552514410053447e-07, + "loss": 1.8962, + "step": 7177 + }, + { + "epoch": 0.98, + "learning_rate": 8.423457964384373e-07, + "loss": 1.8727, + "step": 7178 + }, + { + "epoch": 0.98, + "learning_rate": 8.295381837942206e-07, + "loss": 1.938, + "step": 7179 + }, + { + "epoch": 0.98, + "learning_rate": 8.168286055880713e-07, + "loss": 1.9046, + "step": 7180 + }, + { + "epoch": 0.98, + "learning_rate": 8.042170643161039e-07, + "loss": 1.9239, + "step": 7181 + }, + { + "epoch": 0.98, + "learning_rate": 7.917035624551705e-07, + "loss": 1.8648, + "step": 7182 + }, + { + "epoch": 0.98, + "learning_rate": 7.792881024628051e-07, + "loss": 1.9546, + "step": 7183 + }, + { + "epoch": 0.98, + "learning_rate": 7.669706867773906e-07, + "loss": 2.013, + "step": 7184 + }, + { + "epoch": 0.98, + "learning_rate": 7.547513178179366e-07, + "loss": 1.8303, + "step": 7185 + }, + { + "epoch": 0.98, + "learning_rate": 7.42629997984301e-07, + "loss": 1.8128, + "step": 7186 + }, + { + "epoch": 0.98, + "learning_rate": 7.306067296570796e-07, + "loss": 1.9385, + "step": 7187 + }, + { + "epoch": 0.98, + "learning_rate": 7.186815151975501e-07, + "loss": 1.8679, + "step": 7188 + }, + { + "epoch": 0.98, + "learning_rate": 7.068543569477281e-07, + "loss": 1.9012, + "step": 7189 + }, + { + "epoch": 0.98, + "learning_rate": 6.951252572304223e-07, + "loss": 2.0461, + "step": 7190 + }, + { + "epoch": 0.98, + "learning_rate": 6.834942183491788e-07, + "loss": 1.843, + "step": 7191 + }, + { + "epoch": 0.98, + "learning_rate": 6.719612425882815e-07, + "loss": 1.9763, + "step": 7192 + }, + { + "epoch": 0.98, + "learning_rate": 6.605263322127519e-07, + "loss": 1.939, + "step": 7193 + }, + { + "epoch": 0.98, + "learning_rate": 6.491894894683492e-07, + "loss": 1.9766, + "step": 7194 + }, + { + "epoch": 0.98, + "learning_rate": 6.379507165815146e-07, + "loss": 1.8296, + "step": 7195 + }, + { + "epoch": 0.98, + "learning_rate": 6.26810015759538e-07, + "loss": 1.8525, + "step": 7196 + }, + { + "epoch": 0.98, + "learning_rate": 6.157673891903359e-07, + "loss": 1.8334, + "step": 7197 + }, + { + "epoch": 0.98, + "learning_rate": 6.048228390426736e-07, + "loss": 1.8034, + "step": 7198 + }, + { + "epoch": 0.98, + "learning_rate": 5.939763674659981e-07, + "loss": 1.8114, + "step": 7199 + }, + { + "epoch": 0.99, + "learning_rate": 5.832279765904947e-07, + "loss": 1.8222, + "step": 7200 + }, + { + "epoch": 0.99, + "learning_rate": 5.725776685270855e-07, + "loss": 1.9374, + "step": 7201 + }, + { + "epoch": 0.99, + "learning_rate": 5.620254453674312e-07, + "loss": 1.7956, + "step": 7202 + }, + { + "epoch": 0.99, + "learning_rate": 5.515713091839291e-07, + "loss": 1.9409, + "step": 7203 + }, + { + "epoch": 0.99, + "learning_rate": 5.412152620297151e-07, + "loss": 1.6932, + "step": 7204 + }, + { + "epoch": 0.99, + "learning_rate": 5.309573059387174e-07, + "loss": 1.8418, + "step": 7205 + }, + { + "epoch": 0.99, + "learning_rate": 5.207974429254359e-07, + "loss": 1.9855, + "step": 7206 + }, + { + "epoch": 0.99, + "learning_rate": 5.107356749853298e-07, + "loss": 1.8527, + "step": 7207 + }, + { + "epoch": 0.99, + "learning_rate": 5.007720040943742e-07, + "loss": 1.9176, + "step": 7208 + }, + { + "epoch": 0.99, + "learning_rate": 4.909064322094481e-07, + "loss": 1.8526, + "step": 7209 + }, + { + "epoch": 0.99, + "learning_rate": 4.811389612681127e-07, + "loss": 1.8957, + "step": 7210 + }, + { + "epoch": 0.99, + "learning_rate": 4.714695931886115e-07, + "loss": 1.92, + "step": 7211 + }, + { + "epoch": 0.99, + "learning_rate": 4.618983298699253e-07, + "loss": 1.8957, + "step": 7212 + }, + { + "epoch": 0.99, + "learning_rate": 4.524251731918283e-07, + "loss": 1.7864, + "step": 7213 + }, + { + "epoch": 0.99, + "learning_rate": 4.430501250148322e-07, + "loss": 1.8498, + "step": 7214 + }, + { + "epoch": 0.99, + "learning_rate": 4.3377318718013095e-07, + "loss": 1.8857, + "step": 7215 + }, + { + "epoch": 0.99, + "learning_rate": 4.245943615096004e-07, + "loss": 1.8148, + "step": 7216 + }, + { + "epoch": 0.99, + "learning_rate": 4.155136498060208e-07, + "loss": 1.907, + "step": 7217 + }, + { + "epoch": 0.99, + "learning_rate": 4.0653105385274336e-07, + "loss": 1.9679, + "step": 7218 + }, + { + "epoch": 0.99, + "learning_rate": 3.9764657541385694e-07, + "loss": 1.9324, + "step": 7219 + }, + { + "epoch": 0.99, + "learning_rate": 3.888602162342991e-07, + "loss": 1.8666, + "step": 7220 + }, + { + "epoch": 0.99, + "learning_rate": 3.8017197803963397e-07, + "loss": 1.8243, + "step": 7221 + }, + { + "epoch": 0.99, + "learning_rate": 3.715818625361633e-07, + "loss": 1.8475, + "step": 7222 + }, + { + "epoch": 0.99, + "learning_rate": 3.6308987141103757e-07, + "loss": 1.9449, + "step": 7223 + }, + { + "epoch": 0.99, + "learning_rate": 3.5469600633192266e-07, + "loss": 1.9192, + "step": 7224 + }, + { + "epoch": 0.99, + "learning_rate": 3.4640026894733335e-07, + "loss": 1.7745, + "step": 7225 + }, + { + "epoch": 0.99, + "learning_rate": 3.382026608865774e-07, + "loss": 1.8129, + "step": 7226 + }, + { + "epoch": 0.99, + "learning_rate": 3.3010318375958916e-07, + "loss": 1.9714, + "step": 7227 + }, + { + "epoch": 0.99, + "learning_rate": 3.2210183915709624e-07, + "loss": 1.7711, + "step": 7228 + }, + { + "epoch": 0.99, + "learning_rate": 3.141986286504528e-07, + "loss": 1.8397, + "step": 7229 + }, + { + "epoch": 0.99, + "learning_rate": 3.063935537918616e-07, + "loss": 1.9219, + "step": 7230 + }, + { + "epoch": 0.99, + "learning_rate": 2.9868661611415213e-07, + "loss": 1.9323, + "step": 7231 + }, + { + "epoch": 0.99, + "learning_rate": 2.9107781713100244e-07, + "loss": 1.7619, + "step": 7232 + }, + { + "epoch": 0.99, + "learning_rate": 2.8356715833666167e-07, + "loss": 1.7666, + "step": 7233 + }, + { + "epoch": 0.99, + "learning_rate": 2.761546412062277e-07, + "loss": 1.8655, + "step": 7234 + }, + { + "epoch": 0.99, + "learning_rate": 2.6884026719548036e-07, + "loss": 1.8711, + "step": 7235 + }, + { + "epoch": 0.99, + "learning_rate": 2.6162403774088184e-07, + "loss": 1.9333, + "step": 7236 + }, + { + "epoch": 0.99, + "learning_rate": 2.5450595425974277e-07, + "loss": 1.8743, + "step": 7237 + }, + { + "epoch": 0.99, + "learning_rate": 2.474860181498895e-07, + "loss": 1.8422, + "step": 7238 + }, + { + "epoch": 0.99, + "learning_rate": 2.405642307901079e-07, + "loss": 1.8576, + "step": 7239 + }, + { + "epoch": 0.99, + "learning_rate": 2.337405935398107e-07, + "loss": 1.9013, + "step": 7240 + }, + { + "epoch": 0.99, + "learning_rate": 2.27015107739037e-07, + "loss": 1.9059, + "step": 7241 + }, + { + "epoch": 0.99, + "learning_rate": 2.2038777470867467e-07, + "loss": 1.86, + "step": 7242 + }, + { + "epoch": 0.99, + "learning_rate": 2.1385859575029365e-07, + "loss": 1.7859, + "step": 7243 + }, + { + "epoch": 0.99, + "learning_rate": 2.0742757214625708e-07, + "loss": 1.9346, + "step": 7244 + }, + { + "epoch": 0.99, + "learning_rate": 2.0109470515949911e-07, + "loss": 1.7844, + "step": 7245 + }, + { + "epoch": 0.99, + "learning_rate": 1.9485999603374717e-07, + "loss": 1.9742, + "step": 7246 + }, + { + "epoch": 0.99, + "learning_rate": 1.8872344599357715e-07, + "loss": 1.9366, + "step": 7247 + }, + { + "epoch": 0.99, + "learning_rate": 1.826850562440252e-07, + "loss": 1.9214, + "step": 7248 + }, + { + "epoch": 0.99, + "learning_rate": 1.7674482797114256e-07, + "loss": 1.9237, + "step": 7249 + }, + { + "epoch": 0.99, + "learning_rate": 1.7090276234149604e-07, + "loss": 1.9104, + "step": 7250 + }, + { + "epoch": 0.99, + "learning_rate": 1.6515886050239014e-07, + "loss": 1.8359, + "step": 7251 + }, + { + "epoch": 0.99, + "learning_rate": 1.59513123581978e-07, + "loss": 1.732, + "step": 7252 + }, + { + "epoch": 0.99, + "learning_rate": 1.5396555268898383e-07, + "loss": 1.8751, + "step": 7253 + }, + { + "epoch": 0.99, + "learning_rate": 1.4851614891298048e-07, + "loss": 1.8335, + "step": 7254 + }, + { + "epoch": 0.99, + "learning_rate": 1.4316491332416748e-07, + "loss": 1.8579, + "step": 7255 + }, + { + "epoch": 0.99, + "learning_rate": 1.3791184697353742e-07, + "loss": 1.9651, + "step": 7256 + }, + { + "epoch": 0.99, + "learning_rate": 1.3275695089270955e-07, + "loss": 1.8142, + "step": 7257 + }, + { + "epoch": 0.99, + "learning_rate": 1.2770022609409627e-07, + "loss": 1.9393, + "step": 7258 + }, + { + "epoch": 0.99, + "learning_rate": 1.2274167357079203e-07, + "loss": 2.003, + "step": 7259 + }, + { + "epoch": 0.99, + "learning_rate": 1.1788129429668448e-07, + "loss": 1.9259, + "step": 7260 + }, + { + "epoch": 0.99, + "learning_rate": 1.1311908922628788e-07, + "loss": 1.9913, + "step": 7261 + }, + { + "epoch": 0.99, + "learning_rate": 1.0845505929490962e-07, + "loss": 1.8185, + "step": 7262 + }, + { + "epoch": 0.99, + "learning_rate": 1.0388920541848368e-07, + "loss": 1.8122, + "step": 7263 + }, + { + "epoch": 0.99, + "learning_rate": 9.942152849379272e-08, + "loss": 1.9606, + "step": 7264 + }, + { + "epoch": 0.99, + "learning_rate": 9.505202939819046e-08, + "loss": 1.9063, + "step": 7265 + }, + { + "epoch": 0.99, + "learning_rate": 9.078070898987933e-08, + "loss": 1.9714, + "step": 7266 + }, + { + "epoch": 0.99, + "learning_rate": 8.660756810768833e-08, + "loss": 1.9323, + "step": 7267 + }, + { + "epoch": 0.99, + "learning_rate": 8.25326075712396e-08, + "loss": 1.8233, + "step": 7268 + }, + { + "epoch": 0.99, + "learning_rate": 7.855582818072637e-08, + "loss": 1.7039, + "step": 7269 + }, + { + "epoch": 0.99, + "learning_rate": 7.46772307173571e-08, + "loss": 1.9356, + "step": 7270 + }, + { + "epoch": 0.99, + "learning_rate": 7.089681594268926e-08, + "loss": 1.8862, + "step": 7271 + }, + { + "epoch": 0.99, + "learning_rate": 6.721458459924002e-08, + "loss": 1.8625, + "step": 7272 + }, + { + "epoch": 1.0, + "learning_rate": 6.363053741020863e-08, + "loss": 1.9826, + "step": 7273 + }, + { + "epoch": 1.0, + "learning_rate": 6.014467507947652e-08, + "loss": 1.9031, + "step": 7274 + }, + { + "epoch": 1.0, + "learning_rate": 5.675699829160719e-08, + "loss": 1.7275, + "step": 7275 + }, + { + "epoch": 1.0, + "learning_rate": 5.3467507711957296e-08, + "loss": 2.0801, + "step": 7276 + }, + { + "epoch": 1.0, + "learning_rate": 5.0276203986565626e-08, + "loss": 1.8285, + "step": 7277 + }, + { + "epoch": 1.0, + "learning_rate": 4.7183087742153074e-08, + "loss": 1.8604, + "step": 7278 + }, + { + "epoch": 1.0, + "learning_rate": 4.418815958623368e-08, + "loss": 1.9562, + "step": 7279 + }, + { + "epoch": 1.0, + "learning_rate": 4.1291420106948084e-08, + "loss": 1.9572, + "step": 7280 + }, + { + "epoch": 1.0, + "learning_rate": 3.8492869873285596e-08, + "loss": 1.9278, + "step": 7281 + }, + { + "epoch": 1.0, + "learning_rate": 3.5792509434751096e-08, + "loss": 1.8431, + "step": 7282 + }, + { + "epoch": 1.0, + "learning_rate": 3.319033932180915e-08, + "loss": 1.7114, + "step": 7283 + }, + { + "epoch": 1.0, + "learning_rate": 3.0686360045384386e-08, + "loss": 1.8046, + "step": 7284 + }, + { + "epoch": 1.0, + "learning_rate": 2.8280572097361123e-08, + "loss": 1.7998, + "step": 7285 + }, + { + "epoch": 1.0, + "learning_rate": 2.5972975950083742e-08, + "loss": 1.8388, + "step": 7286 + }, + { + "epoch": 1.0, + "learning_rate": 2.376357205691182e-08, + "loss": 1.894, + "step": 7287 + }, + { + "epoch": 1.0, + "learning_rate": 2.1652360851665e-08, + "loss": 1.8235, + "step": 7288 + }, + { + "epoch": 1.0, + "learning_rate": 1.963934274895607e-08, + "loss": 1.9087, + "step": 7289 + }, + { + "epoch": 1.0, + "learning_rate": 1.772451814419096e-08, + "loss": 1.9018, + "step": 7290 + }, + { + "epoch": 1.0, + "learning_rate": 1.5907887413457722e-08, + "loss": 1.8349, + "step": 7291 + }, + { + "epoch": 1.0, + "learning_rate": 1.4189450913415502e-08, + "loss": 1.8986, + "step": 7292 + }, + { + "epoch": 1.0, + "learning_rate": 1.2569208981627611e-08, + "loss": 1.8569, + "step": 7293 + }, + { + "epoch": 1.0, + "learning_rate": 1.1047161936339479e-08, + "loss": 1.8878, + "step": 7294 + }, + { + "epoch": 1.0, + "learning_rate": 9.623310076423141e-09, + "loss": 1.958, + "step": 7295 + }, + { + "epoch": 1.0, + "learning_rate": 8.29765368148827e-09, + "loss": 1.7767, + "step": 7296 + }, + { + "epoch": 1.0, + "learning_rate": 7.0701930119376755e-09, + "loss": 1.8904, + "step": 7297 + }, + { + "epoch": 1.0, + "learning_rate": 5.940928308856286e-09, + "loss": 1.7869, + "step": 7298 + }, + { + "epoch": 1.0, + "learning_rate": 4.90985979395564e-09, + "loss": 1.8561, + "step": 7299 + }, + { + "epoch": 1.0, + "learning_rate": 3.9769876697959284e-09, + "loss": 1.8938, + "step": 7300 + }, + { + "epoch": 1.0, + "learning_rate": 3.1423121195639505e-09, + "loss": 1.768, + "step": 7301 + }, + { + "epoch": 1.0, + "learning_rate": 2.4058333071286243e-09, + "loss": 1.8844, + "step": 7302 + }, + { + "epoch": 1.0, + "learning_rate": 1.7675513772075213e-09, + "loss": 1.8752, + "step": 7303 + }, + { + "epoch": 1.0, + "learning_rate": 1.227466455144821e-09, + "loss": 1.9529, + "step": 7304 + }, + { + "epoch": 1.0, + "learning_rate": 7.855786470223336e-10, + "loss": 1.8795, + "step": 7305 + }, + { + "epoch": 1.0, + "learning_rate": 4.41888039548477e-10, + "loss": 1.8405, + "step": 7306 + }, + { + "epoch": 1.0, + "learning_rate": 1.963947003358335e-10, + "loss": 1.8125, + "step": 7307 + }, + { + "epoch": 1.0, + "learning_rate": 4.9098677512571245e-11, + "loss": 1.9765, + "step": 7308 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 2.3754, + "step": 7309 + }, + { + "epoch": 1.0, + "step": 7309, + "total_flos": 9.941323478361702e+17, + "train_loss": 2.4119914807312988, + "train_runtime": 20054.373, + "train_samples_per_second": 34.984, + "train_steps_per_second": 0.364 + } + ], + "logging_steps": 1.0, + "max_steps": 7309, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 2000, + "total_flos": 9.941323478361702e+17, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +}