diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,28627 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9999475588651738, + "global_step": 4767, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 2e-08, + "loss": 3.092, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 4e-08, + "loss": 3.1007, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 6.000000000000001e-08, + "loss": 3.1567, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 8e-08, + "loss": 3.1164, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 1.0000000000000001e-07, + "loss": 3.0094, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 1.2000000000000002e-07, + "loss": 3.1256, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 1.4e-07, + "loss": 3.1288, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 1.6e-07, + "loss": 3.1003, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 1.8e-07, + "loss": 3.0793, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 2.0000000000000002e-07, + "loss": 3.0211, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 2.2e-07, + "loss": 3.1464, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 2.4000000000000003e-07, + "loss": 3.1738, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 2.6e-07, + "loss": 3.0976, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 2.8e-07, + "loss": 3.0037, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 3.0000000000000004e-07, + "loss": 3.1165, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 3.2e-07, + "loss": 3.0801, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 3.4000000000000003e-07, + "loss": 3.0692, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 3.6e-07, + "loss": 3.129, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 3.8e-07, + "loss": 3.08, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 4.0000000000000003e-07, + "loss": 3.1163, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 4.2000000000000006e-07, + "loss": 3.1214, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 4.4e-07, + "loss": 3.1527, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 4.6000000000000004e-07, + "loss": 3.061, + "step": 23 + }, + { + "epoch": 0.01, + "learning_rate": 4.800000000000001e-07, + "loss": 3.094, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 5.000000000000001e-07, + "loss": 3.1331, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 5.2e-07, + "loss": 3.1798, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 5.4e-07, + "loss": 3.07, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 5.6e-07, + "loss": 3.1276, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 5.800000000000001e-07, + "loss": 3.0871, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 6.000000000000001e-07, + "loss": 3.0546, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 6.200000000000001e-07, + "loss": 3.0465, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 6.4e-07, + "loss": 3.1104, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 6.6e-07, + "loss": 3.1242, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 6.800000000000001e-07, + "loss": 3.048, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 7.000000000000001e-07, + "loss": 3.0106, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 7.2e-07, + "loss": 3.1382, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 7.4e-07, + "loss": 3.0921, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 7.6e-07, + "loss": 3.069, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 7.8e-07, + "loss": 3.1002, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 8.000000000000001e-07, + "loss": 3.1066, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 8.200000000000001e-07, + "loss": 3.0689, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 8.400000000000001e-07, + "loss": 3.0155, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 8.6e-07, + "loss": 3.0663, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 8.8e-07, + "loss": 3.0566, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 9.000000000000001e-07, + "loss": 3.0471, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 9.200000000000001e-07, + "loss": 3.0668, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 9.400000000000001e-07, + "loss": 3.0367, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 9.600000000000001e-07, + "loss": 3.1599, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 9.800000000000001e-07, + "loss": 3.0559, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 1.0000000000000002e-06, + "loss": 3.0357, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 1.02e-06, + "loss": 3.0069, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 1.04e-06, + "loss": 3.0106, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 1.06e-06, + "loss": 3.0893, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 1.08e-06, + "loss": 3.0402, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 1.1e-06, + "loss": 2.9643, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 1.12e-06, + "loss": 3.0251, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 1.14e-06, + "loss": 3.0735, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 1.1600000000000001e-06, + "loss": 3.0517, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 1.1800000000000001e-06, + "loss": 3.0325, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 1.2000000000000002e-06, + "loss": 2.9646, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 1.2200000000000002e-06, + "loss": 3.0318, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 1.2400000000000002e-06, + "loss": 3.0589, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 1.26e-06, + "loss": 2.9803, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 1.28e-06, + "loss": 3.0203, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 1.3e-06, + "loss": 3.0212, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 1.32e-06, + "loss": 2.9209, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 1.34e-06, + "loss": 3.0635, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 1.3600000000000001e-06, + "loss": 3.0862, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 1.3800000000000001e-06, + "loss": 2.91, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 1.4000000000000001e-06, + "loss": 3.0107, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 1.42e-06, + "loss": 2.979, + "step": 71 + }, + { + "epoch": 0.02, + "learning_rate": 1.44e-06, + "loss": 2.9974, + "step": 72 + }, + { + "epoch": 0.02, + "learning_rate": 1.46e-06, + "loss": 2.8758, + "step": 73 + }, + { + "epoch": 0.02, + "learning_rate": 1.48e-06, + "loss": 2.9534, + "step": 74 + }, + { + "epoch": 0.02, + "learning_rate": 1.5e-06, + "loss": 2.9901, + "step": 75 + }, + { + "epoch": 0.02, + "learning_rate": 1.52e-06, + "loss": 3.0355, + "step": 76 + }, + { + "epoch": 0.02, + "learning_rate": 1.54e-06, + "loss": 2.8663, + "step": 77 + }, + { + "epoch": 0.02, + "learning_rate": 1.56e-06, + "loss": 2.9364, + "step": 78 + }, + { + "epoch": 0.02, + "learning_rate": 1.5800000000000001e-06, + "loss": 2.909, + "step": 79 + }, + { + "epoch": 0.02, + "learning_rate": 1.6000000000000001e-06, + "loss": 2.9126, + "step": 80 + }, + { + "epoch": 0.02, + "learning_rate": 1.6200000000000002e-06, + "loss": 2.9771, + "step": 81 + }, + { + "epoch": 0.02, + "learning_rate": 1.6400000000000002e-06, + "loss": 2.8949, + "step": 82 + }, + { + "epoch": 0.02, + "learning_rate": 1.6600000000000002e-06, + "loss": 2.8846, + "step": 83 + }, + { + "epoch": 0.02, + "learning_rate": 1.6800000000000002e-06, + "loss": 2.928, + "step": 84 + }, + { + "epoch": 0.02, + "learning_rate": 1.7000000000000002e-06, + "loss": 2.9486, + "step": 85 + }, + { + "epoch": 0.02, + "learning_rate": 1.72e-06, + "loss": 2.9353, + "step": 86 + }, + { + "epoch": 0.02, + "learning_rate": 1.74e-06, + "loss": 2.8898, + "step": 87 + }, + { + "epoch": 0.02, + "learning_rate": 1.76e-06, + "loss": 2.9294, + "step": 88 + }, + { + "epoch": 0.02, + "learning_rate": 1.7800000000000001e-06, + "loss": 2.9448, + "step": 89 + }, + { + "epoch": 0.02, + "learning_rate": 1.8000000000000001e-06, + "loss": 2.874, + "step": 90 + }, + { + "epoch": 0.02, + "learning_rate": 1.8200000000000002e-06, + "loss": 2.837, + "step": 91 + }, + { + "epoch": 0.02, + "learning_rate": 1.8400000000000002e-06, + "loss": 2.8484, + "step": 92 + }, + { + "epoch": 0.02, + "learning_rate": 1.8600000000000002e-06, + "loss": 2.8547, + "step": 93 + }, + { + "epoch": 0.02, + "learning_rate": 1.8800000000000002e-06, + "loss": 2.8736, + "step": 94 + }, + { + "epoch": 0.02, + "learning_rate": 1.9000000000000002e-06, + "loss": 2.8729, + "step": 95 + }, + { + "epoch": 0.02, + "learning_rate": 1.9200000000000003e-06, + "loss": 2.9013, + "step": 96 + }, + { + "epoch": 0.02, + "learning_rate": 1.94e-06, + "loss": 2.8442, + "step": 97 + }, + { + "epoch": 0.02, + "learning_rate": 1.9600000000000003e-06, + "loss": 2.8887, + "step": 98 + }, + { + "epoch": 0.02, + "learning_rate": 1.98e-06, + "loss": 2.8369, + "step": 99 + }, + { + "epoch": 0.02, + "learning_rate": 2.0000000000000003e-06, + "loss": 2.9085, + "step": 100 + }, + { + "epoch": 0.02, + "learning_rate": 2.02e-06, + "loss": 2.7856, + "step": 101 + }, + { + "epoch": 0.02, + "learning_rate": 2.04e-06, + "loss": 2.803, + "step": 102 + }, + { + "epoch": 0.02, + "learning_rate": 2.06e-06, + "loss": 2.8903, + "step": 103 + }, + { + "epoch": 0.02, + "learning_rate": 2.08e-06, + "loss": 2.8372, + "step": 104 + }, + { + "epoch": 0.02, + "learning_rate": 2.1000000000000002e-06, + "loss": 2.8824, + "step": 105 + }, + { + "epoch": 0.02, + "learning_rate": 2.12e-06, + "loss": 2.8255, + "step": 106 + }, + { + "epoch": 0.02, + "learning_rate": 2.1400000000000003e-06, + "loss": 2.8445, + "step": 107 + }, + { + "epoch": 0.02, + "learning_rate": 2.16e-06, + "loss": 2.8626, + "step": 108 + }, + { + "epoch": 0.02, + "learning_rate": 2.1800000000000003e-06, + "loss": 2.8125, + "step": 109 + }, + { + "epoch": 0.02, + "learning_rate": 2.2e-06, + "loss": 2.8063, + "step": 110 + }, + { + "epoch": 0.02, + "learning_rate": 2.2200000000000003e-06, + "loss": 2.9466, + "step": 111 + }, + { + "epoch": 0.02, + "learning_rate": 2.24e-06, + "loss": 2.8213, + "step": 112 + }, + { + "epoch": 0.02, + "learning_rate": 2.2600000000000004e-06, + "loss": 2.8191, + "step": 113 + }, + { + "epoch": 0.02, + "learning_rate": 2.28e-06, + "loss": 2.8357, + "step": 114 + }, + { + "epoch": 0.02, + "learning_rate": 2.3000000000000004e-06, + "loss": 2.8093, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 2.3200000000000002e-06, + "loss": 2.8186, + "step": 116 + }, + { + "epoch": 0.02, + "learning_rate": 2.3400000000000005e-06, + "loss": 2.745, + "step": 117 + }, + { + "epoch": 0.02, + "learning_rate": 2.3600000000000003e-06, + "loss": 2.7376, + "step": 118 + }, + { + "epoch": 0.02, + "learning_rate": 2.38e-06, + "loss": 2.8125, + "step": 119 + }, + { + "epoch": 0.03, + "learning_rate": 2.4000000000000003e-06, + "loss": 2.7233, + "step": 120 + }, + { + "epoch": 0.03, + "learning_rate": 2.42e-06, + "loss": 2.7882, + "step": 121 + }, + { + "epoch": 0.03, + "learning_rate": 2.4400000000000004e-06, + "loss": 2.8079, + "step": 122 + }, + { + "epoch": 0.03, + "learning_rate": 2.46e-06, + "loss": 2.6885, + "step": 123 + }, + { + "epoch": 0.03, + "learning_rate": 2.4800000000000004e-06, + "loss": 2.7167, + "step": 124 + }, + { + "epoch": 0.03, + "learning_rate": 2.5e-06, + "loss": 2.7285, + "step": 125 + }, + { + "epoch": 0.03, + "learning_rate": 2.52e-06, + "loss": 2.8242, + "step": 126 + }, + { + "epoch": 0.03, + "learning_rate": 2.5400000000000002e-06, + "loss": 2.7685, + "step": 127 + }, + { + "epoch": 0.03, + "learning_rate": 2.56e-06, + "loss": 2.7729, + "step": 128 + }, + { + "epoch": 0.03, + "learning_rate": 2.5800000000000003e-06, + "loss": 2.7742, + "step": 129 + }, + { + "epoch": 0.03, + "learning_rate": 2.6e-06, + "loss": 2.7129, + "step": 130 + }, + { + "epoch": 0.03, + "learning_rate": 2.6200000000000003e-06, + "loss": 2.7117, + "step": 131 + }, + { + "epoch": 0.03, + "learning_rate": 2.64e-06, + "loss": 2.7372, + "step": 132 + }, + { + "epoch": 0.03, + "learning_rate": 2.6600000000000004e-06, + "loss": 2.7254, + "step": 133 + }, + { + "epoch": 0.03, + "learning_rate": 2.68e-06, + "loss": 2.726, + "step": 134 + }, + { + "epoch": 0.03, + "learning_rate": 2.7000000000000004e-06, + "loss": 2.7157, + "step": 135 + }, + { + "epoch": 0.03, + "learning_rate": 2.7200000000000002e-06, + "loss": 2.7942, + "step": 136 + }, + { + "epoch": 0.03, + "learning_rate": 2.7400000000000004e-06, + "loss": 2.7229, + "step": 137 + }, + { + "epoch": 0.03, + "learning_rate": 2.7600000000000003e-06, + "loss": 2.7787, + "step": 138 + }, + { + "epoch": 0.03, + "learning_rate": 2.7800000000000005e-06, + "loss": 2.7573, + "step": 139 + }, + { + "epoch": 0.03, + "learning_rate": 2.8000000000000003e-06, + "loss": 2.7267, + "step": 140 + }, + { + "epoch": 0.03, + "learning_rate": 2.82e-06, + "loss": 2.71, + "step": 141 + }, + { + "epoch": 0.03, + "learning_rate": 2.84e-06, + "loss": 2.7361, + "step": 142 + }, + { + "epoch": 0.03, + "learning_rate": 2.86e-06, + "loss": 2.6781, + "step": 143 + }, + { + "epoch": 0.03, + "learning_rate": 2.88e-06, + "loss": 2.7683, + "step": 144 + }, + { + "epoch": 0.03, + "learning_rate": 2.9e-06, + "loss": 2.7627, + "step": 145 + }, + { + "epoch": 0.03, + "learning_rate": 2.92e-06, + "loss": 2.7361, + "step": 146 + }, + { + "epoch": 0.03, + "learning_rate": 2.9400000000000002e-06, + "loss": 2.739, + "step": 147 + }, + { + "epoch": 0.03, + "learning_rate": 2.96e-06, + "loss": 2.7379, + "step": 148 + }, + { + "epoch": 0.03, + "learning_rate": 2.9800000000000003e-06, + "loss": 2.6021, + "step": 149 + }, + { + "epoch": 0.03, + "learning_rate": 3e-06, + "loss": 2.697, + "step": 150 + }, + { + "epoch": 0.03, + "learning_rate": 3.0200000000000003e-06, + "loss": 2.6825, + "step": 151 + }, + { + "epoch": 0.03, + "learning_rate": 3.04e-06, + "loss": 2.6351, + "step": 152 + }, + { + "epoch": 0.03, + "learning_rate": 3.0600000000000003e-06, + "loss": 2.6797, + "step": 153 + }, + { + "epoch": 0.03, + "learning_rate": 3.08e-06, + "loss": 2.6717, + "step": 154 + }, + { + "epoch": 0.03, + "learning_rate": 3.1000000000000004e-06, + "loss": 2.7383, + "step": 155 + }, + { + "epoch": 0.03, + "learning_rate": 3.12e-06, + "loss": 2.7181, + "step": 156 + }, + { + "epoch": 0.03, + "learning_rate": 3.1400000000000004e-06, + "loss": 2.796, + "step": 157 + }, + { + "epoch": 0.03, + "learning_rate": 3.1600000000000002e-06, + "loss": 2.7223, + "step": 158 + }, + { + "epoch": 0.03, + "learning_rate": 3.1800000000000005e-06, + "loss": 2.7008, + "step": 159 + }, + { + "epoch": 0.03, + "learning_rate": 3.2000000000000003e-06, + "loss": 2.8344, + "step": 160 + }, + { + "epoch": 0.03, + "learning_rate": 3.2200000000000005e-06, + "loss": 2.6974, + "step": 161 + }, + { + "epoch": 0.03, + "learning_rate": 3.2400000000000003e-06, + "loss": 2.6517, + "step": 162 + }, + { + "epoch": 0.03, + "learning_rate": 3.2600000000000006e-06, + "loss": 2.7337, + "step": 163 + }, + { + "epoch": 0.03, + "learning_rate": 3.2800000000000004e-06, + "loss": 2.6399, + "step": 164 + }, + { + "epoch": 0.03, + "learning_rate": 3.3000000000000006e-06, + "loss": 2.6794, + "step": 165 + }, + { + "epoch": 0.03, + "learning_rate": 3.3200000000000004e-06, + "loss": 2.7321, + "step": 166 + }, + { + "epoch": 0.04, + "learning_rate": 3.3400000000000006e-06, + "loss": 2.7192, + "step": 167 + }, + { + "epoch": 0.04, + "learning_rate": 3.3600000000000004e-06, + "loss": 2.6636, + "step": 168 + }, + { + "epoch": 0.04, + "learning_rate": 3.3800000000000007e-06, + "loss": 2.6598, + "step": 169 + }, + { + "epoch": 0.04, + "learning_rate": 3.4000000000000005e-06, + "loss": 2.6776, + "step": 170 + }, + { + "epoch": 0.04, + "learning_rate": 3.4200000000000007e-06, + "loss": 2.61, + "step": 171 + }, + { + "epoch": 0.04, + "learning_rate": 3.44e-06, + "loss": 2.6884, + "step": 172 + }, + { + "epoch": 0.04, + "learning_rate": 3.46e-06, + "loss": 2.6647, + "step": 173 + }, + { + "epoch": 0.04, + "learning_rate": 3.48e-06, + "loss": 2.6741, + "step": 174 + }, + { + "epoch": 0.04, + "learning_rate": 3.5e-06, + "loss": 2.7231, + "step": 175 + }, + { + "epoch": 0.04, + "learning_rate": 3.52e-06, + "loss": 2.6815, + "step": 176 + }, + { + "epoch": 0.04, + "learning_rate": 3.54e-06, + "loss": 2.6968, + "step": 177 + }, + { + "epoch": 0.04, + "learning_rate": 3.5600000000000002e-06, + "loss": 2.6812, + "step": 178 + }, + { + "epoch": 0.04, + "learning_rate": 3.58e-06, + "loss": 2.7574, + "step": 179 + }, + { + "epoch": 0.04, + "learning_rate": 3.6000000000000003e-06, + "loss": 2.7588, + "step": 180 + }, + { + "epoch": 0.04, + "learning_rate": 3.62e-06, + "loss": 2.7068, + "step": 181 + }, + { + "epoch": 0.04, + "learning_rate": 3.6400000000000003e-06, + "loss": 2.7235, + "step": 182 + }, + { + "epoch": 0.04, + "learning_rate": 3.66e-06, + "loss": 2.7384, + "step": 183 + }, + { + "epoch": 0.04, + "learning_rate": 3.6800000000000003e-06, + "loss": 2.6664, + "step": 184 + }, + { + "epoch": 0.04, + "learning_rate": 3.7e-06, + "loss": 2.7667, + "step": 185 + }, + { + "epoch": 0.04, + "learning_rate": 3.7200000000000004e-06, + "loss": 2.7026, + "step": 186 + }, + { + "epoch": 0.04, + "learning_rate": 3.74e-06, + "loss": 2.7062, + "step": 187 + }, + { + "epoch": 0.04, + "learning_rate": 3.7600000000000004e-06, + "loss": 2.6756, + "step": 188 + }, + { + "epoch": 0.04, + "learning_rate": 3.7800000000000002e-06, + "loss": 2.646, + "step": 189 + }, + { + "epoch": 0.04, + "learning_rate": 3.8000000000000005e-06, + "loss": 2.7622, + "step": 190 + }, + { + "epoch": 0.04, + "learning_rate": 3.820000000000001e-06, + "loss": 2.6983, + "step": 191 + }, + { + "epoch": 0.04, + "learning_rate": 3.8400000000000005e-06, + "loss": 2.7022, + "step": 192 + }, + { + "epoch": 0.04, + "learning_rate": 3.86e-06, + "loss": 2.6542, + "step": 193 + }, + { + "epoch": 0.04, + "learning_rate": 3.88e-06, + "loss": 2.7237, + "step": 194 + }, + { + "epoch": 0.04, + "learning_rate": 3.900000000000001e-06, + "loss": 2.7299, + "step": 195 + }, + { + "epoch": 0.04, + "learning_rate": 3.920000000000001e-06, + "loss": 2.735, + "step": 196 + }, + { + "epoch": 0.04, + "learning_rate": 3.94e-06, + "loss": 2.7275, + "step": 197 + }, + { + "epoch": 0.04, + "learning_rate": 3.96e-06, + "loss": 2.5665, + "step": 198 + }, + { + "epoch": 0.04, + "learning_rate": 3.980000000000001e-06, + "loss": 2.7009, + "step": 199 + }, + { + "epoch": 0.04, + "learning_rate": 4.000000000000001e-06, + "loss": 2.6769, + "step": 200 + }, + { + "epoch": 0.04, + "learning_rate": 4.0200000000000005e-06, + "loss": 2.6923, + "step": 201 + }, + { + "epoch": 0.04, + "learning_rate": 4.04e-06, + "loss": 2.6636, + "step": 202 + }, + { + "epoch": 0.04, + "learning_rate": 4.060000000000001e-06, + "loss": 2.7309, + "step": 203 + }, + { + "epoch": 0.04, + "learning_rate": 4.08e-06, + "loss": 2.6748, + "step": 204 + }, + { + "epoch": 0.04, + "learning_rate": 4.1e-06, + "loss": 2.7055, + "step": 205 + }, + { + "epoch": 0.04, + "learning_rate": 4.12e-06, + "loss": 2.7203, + "step": 206 + }, + { + "epoch": 0.04, + "learning_rate": 4.14e-06, + "loss": 2.6797, + "step": 207 + }, + { + "epoch": 0.04, + "learning_rate": 4.16e-06, + "loss": 2.7229, + "step": 208 + }, + { + "epoch": 0.04, + "learning_rate": 4.18e-06, + "loss": 2.6673, + "step": 209 + }, + { + "epoch": 0.04, + "learning_rate": 4.2000000000000004e-06, + "loss": 2.7368, + "step": 210 + }, + { + "epoch": 0.04, + "learning_rate": 4.22e-06, + "loss": 2.7388, + "step": 211 + }, + { + "epoch": 0.04, + "learning_rate": 4.24e-06, + "loss": 2.6916, + "step": 212 + }, + { + "epoch": 0.04, + "learning_rate": 4.26e-06, + "loss": 2.7097, + "step": 213 + }, + { + "epoch": 0.04, + "learning_rate": 4.2800000000000005e-06, + "loss": 2.6832, + "step": 214 + }, + { + "epoch": 0.05, + "learning_rate": 4.3e-06, + "loss": 2.6329, + "step": 215 + }, + { + "epoch": 0.05, + "learning_rate": 4.32e-06, + "loss": 2.681, + "step": 216 + }, + { + "epoch": 0.05, + "learning_rate": 4.34e-06, + "loss": 2.666, + "step": 217 + }, + { + "epoch": 0.05, + "learning_rate": 4.360000000000001e-06, + "loss": 2.7177, + "step": 218 + }, + { + "epoch": 0.05, + "learning_rate": 4.38e-06, + "loss": 2.6559, + "step": 219 + }, + { + "epoch": 0.05, + "learning_rate": 4.4e-06, + "loss": 2.6489, + "step": 220 + }, + { + "epoch": 0.05, + "learning_rate": 4.42e-06, + "loss": 2.6768, + "step": 221 + }, + { + "epoch": 0.05, + "learning_rate": 4.440000000000001e-06, + "loss": 2.7167, + "step": 222 + }, + { + "epoch": 0.05, + "learning_rate": 4.4600000000000005e-06, + "loss": 2.6897, + "step": 223 + }, + { + "epoch": 0.05, + "learning_rate": 4.48e-06, + "loss": 2.6802, + "step": 224 + }, + { + "epoch": 0.05, + "learning_rate": 4.5e-06, + "loss": 2.7444, + "step": 225 + }, + { + "epoch": 0.05, + "learning_rate": 4.520000000000001e-06, + "loss": 2.6583, + "step": 226 + }, + { + "epoch": 0.05, + "learning_rate": 4.540000000000001e-06, + "loss": 2.6481, + "step": 227 + }, + { + "epoch": 0.05, + "learning_rate": 4.56e-06, + "loss": 2.6342, + "step": 228 + }, + { + "epoch": 0.05, + "learning_rate": 4.58e-06, + "loss": 2.6935, + "step": 229 + }, + { + "epoch": 0.05, + "learning_rate": 4.600000000000001e-06, + "loss": 2.6047, + "step": 230 + }, + { + "epoch": 0.05, + "learning_rate": 4.620000000000001e-06, + "loss": 2.647, + "step": 231 + }, + { + "epoch": 0.05, + "learning_rate": 4.6400000000000005e-06, + "loss": 2.6242, + "step": 232 + }, + { + "epoch": 0.05, + "learning_rate": 4.66e-06, + "loss": 2.7531, + "step": 233 + }, + { + "epoch": 0.05, + "learning_rate": 4.680000000000001e-06, + "loss": 2.6951, + "step": 234 + }, + { + "epoch": 0.05, + "learning_rate": 4.7e-06, + "loss": 2.632, + "step": 235 + }, + { + "epoch": 0.05, + "learning_rate": 4.7200000000000005e-06, + "loss": 2.6911, + "step": 236 + }, + { + "epoch": 0.05, + "learning_rate": 4.74e-06, + "loss": 2.7375, + "step": 237 + }, + { + "epoch": 0.05, + "learning_rate": 4.76e-06, + "loss": 2.6472, + "step": 238 + }, + { + "epoch": 0.05, + "learning_rate": 4.78e-06, + "loss": 2.6602, + "step": 239 + }, + { + "epoch": 0.05, + "learning_rate": 4.800000000000001e-06, + "loss": 2.7392, + "step": 240 + }, + { + "epoch": 0.05, + "learning_rate": 4.8200000000000004e-06, + "loss": 2.6402, + "step": 241 + }, + { + "epoch": 0.05, + "learning_rate": 4.84e-06, + "loss": 2.713, + "step": 242 + }, + { + "epoch": 0.05, + "learning_rate": 4.86e-06, + "loss": 2.5896, + "step": 243 + }, + { + "epoch": 0.05, + "learning_rate": 4.880000000000001e-06, + "loss": 2.7019, + "step": 244 + }, + { + "epoch": 0.05, + "learning_rate": 4.9000000000000005e-06, + "loss": 2.6894, + "step": 245 + }, + { + "epoch": 0.05, + "learning_rate": 4.92e-06, + "loss": 2.6391, + "step": 246 + }, + { + "epoch": 0.05, + "learning_rate": 4.94e-06, + "loss": 2.6874, + "step": 247 + }, + { + "epoch": 0.05, + "learning_rate": 4.960000000000001e-06, + "loss": 2.6786, + "step": 248 + }, + { + "epoch": 0.05, + "learning_rate": 4.980000000000001e-06, + "loss": 2.7287, + "step": 249 + }, + { + "epoch": 0.05, + "learning_rate": 5e-06, + "loss": 2.7298, + "step": 250 + }, + { + "epoch": 0.05, + "learning_rate": 5.02e-06, + "loss": 2.7635, + "step": 251 + }, + { + "epoch": 0.05, + "learning_rate": 5.04e-06, + "loss": 2.6722, + "step": 252 + }, + { + "epoch": 0.05, + "learning_rate": 5.060000000000001e-06, + "loss": 2.6845, + "step": 253 + }, + { + "epoch": 0.05, + "learning_rate": 5.0800000000000005e-06, + "loss": 2.6477, + "step": 254 + }, + { + "epoch": 0.05, + "learning_rate": 5.1e-06, + "loss": 2.6842, + "step": 255 + }, + { + "epoch": 0.05, + "learning_rate": 5.12e-06, + "loss": 2.6877, + "step": 256 + }, + { + "epoch": 0.05, + "learning_rate": 5.140000000000001e-06, + "loss": 2.7476, + "step": 257 + }, + { + "epoch": 0.05, + "learning_rate": 5.1600000000000006e-06, + "loss": 2.6254, + "step": 258 + }, + { + "epoch": 0.05, + "learning_rate": 5.18e-06, + "loss": 2.6529, + "step": 259 + }, + { + "epoch": 0.05, + "learning_rate": 5.2e-06, + "loss": 2.6917, + "step": 260 + }, + { + "epoch": 0.05, + "learning_rate": 5.220000000000001e-06, + "loss": 2.6925, + "step": 261 + }, + { + "epoch": 0.05, + "learning_rate": 5.240000000000001e-06, + "loss": 2.7004, + "step": 262 + }, + { + "epoch": 0.06, + "learning_rate": 5.2600000000000005e-06, + "loss": 2.6631, + "step": 263 + }, + { + "epoch": 0.06, + "learning_rate": 5.28e-06, + "loss": 2.6592, + "step": 264 + }, + { + "epoch": 0.06, + "learning_rate": 5.300000000000001e-06, + "loss": 2.6794, + "step": 265 + }, + { + "epoch": 0.06, + "learning_rate": 5.320000000000001e-06, + "loss": 2.7186, + "step": 266 + }, + { + "epoch": 0.06, + "learning_rate": 5.3400000000000005e-06, + "loss": 2.694, + "step": 267 + }, + { + "epoch": 0.06, + "learning_rate": 5.36e-06, + "loss": 2.7096, + "step": 268 + }, + { + "epoch": 0.06, + "learning_rate": 5.380000000000001e-06, + "loss": 2.747, + "step": 269 + }, + { + "epoch": 0.06, + "learning_rate": 5.400000000000001e-06, + "loss": 2.7058, + "step": 270 + }, + { + "epoch": 0.06, + "learning_rate": 5.420000000000001e-06, + "loss": 2.6247, + "step": 271 + }, + { + "epoch": 0.06, + "learning_rate": 5.4400000000000004e-06, + "loss": 2.6724, + "step": 272 + }, + { + "epoch": 0.06, + "learning_rate": 5.460000000000001e-06, + "loss": 2.6713, + "step": 273 + }, + { + "epoch": 0.06, + "learning_rate": 5.480000000000001e-06, + "loss": 2.6121, + "step": 274 + }, + { + "epoch": 0.06, + "learning_rate": 5.500000000000001e-06, + "loss": 2.6669, + "step": 275 + }, + { + "epoch": 0.06, + "learning_rate": 5.5200000000000005e-06, + "loss": 2.6139, + "step": 276 + }, + { + "epoch": 0.06, + "learning_rate": 5.540000000000001e-06, + "loss": 2.7561, + "step": 277 + }, + { + "epoch": 0.06, + "learning_rate": 5.560000000000001e-06, + "loss": 2.7216, + "step": 278 + }, + { + "epoch": 0.06, + "learning_rate": 5.580000000000001e-06, + "loss": 2.6066, + "step": 279 + }, + { + "epoch": 0.06, + "learning_rate": 5.600000000000001e-06, + "loss": 2.719, + "step": 280 + }, + { + "epoch": 0.06, + "learning_rate": 5.620000000000001e-06, + "loss": 2.6883, + "step": 281 + }, + { + "epoch": 0.06, + "learning_rate": 5.64e-06, + "loss": 2.7093, + "step": 282 + }, + { + "epoch": 0.06, + "learning_rate": 5.66e-06, + "loss": 2.7237, + "step": 283 + }, + { + "epoch": 0.06, + "learning_rate": 5.68e-06, + "loss": 2.6871, + "step": 284 + }, + { + "epoch": 0.06, + "learning_rate": 5.7e-06, + "loss": 2.7259, + "step": 285 + }, + { + "epoch": 0.06, + "learning_rate": 5.72e-06, + "loss": 2.708, + "step": 286 + }, + { + "epoch": 0.06, + "learning_rate": 5.74e-06, + "loss": 2.6399, + "step": 287 + }, + { + "epoch": 0.06, + "learning_rate": 5.76e-06, + "loss": 2.6727, + "step": 288 + }, + { + "epoch": 0.06, + "learning_rate": 5.78e-06, + "loss": 2.6684, + "step": 289 + }, + { + "epoch": 0.06, + "learning_rate": 5.8e-06, + "loss": 2.6605, + "step": 290 + }, + { + "epoch": 0.06, + "learning_rate": 5.82e-06, + "loss": 2.6623, + "step": 291 + }, + { + "epoch": 0.06, + "learning_rate": 5.84e-06, + "loss": 2.7235, + "step": 292 + }, + { + "epoch": 0.06, + "learning_rate": 5.86e-06, + "loss": 2.6955, + "step": 293 + }, + { + "epoch": 0.06, + "learning_rate": 5.8800000000000005e-06, + "loss": 2.6622, + "step": 294 + }, + { + "epoch": 0.06, + "learning_rate": 5.9e-06, + "loss": 2.6686, + "step": 295 + }, + { + "epoch": 0.06, + "learning_rate": 5.92e-06, + "loss": 2.7455, + "step": 296 + }, + { + "epoch": 0.06, + "learning_rate": 5.94e-06, + "loss": 2.6493, + "step": 297 + }, + { + "epoch": 0.06, + "learning_rate": 5.9600000000000005e-06, + "loss": 2.6973, + "step": 298 + }, + { + "epoch": 0.06, + "learning_rate": 5.98e-06, + "loss": 2.6063, + "step": 299 + }, + { + "epoch": 0.06, + "learning_rate": 6e-06, + "loss": 2.6333, + "step": 300 + }, + { + "epoch": 0.06, + "learning_rate": 6.02e-06, + "loss": 2.6961, + "step": 301 + }, + { + "epoch": 0.06, + "learning_rate": 6.040000000000001e-06, + "loss": 2.6822, + "step": 302 + }, + { + "epoch": 0.06, + "learning_rate": 6.0600000000000004e-06, + "loss": 2.661, + "step": 303 + }, + { + "epoch": 0.06, + "learning_rate": 6.08e-06, + "loss": 2.7265, + "step": 304 + }, + { + "epoch": 0.06, + "learning_rate": 6.1e-06, + "loss": 2.6347, + "step": 305 + }, + { + "epoch": 0.06, + "learning_rate": 6.120000000000001e-06, + "loss": 2.6559, + "step": 306 + }, + { + "epoch": 0.06, + "learning_rate": 6.1400000000000005e-06, + "loss": 2.6845, + "step": 307 + }, + { + "epoch": 0.06, + "learning_rate": 6.16e-06, + "loss": 2.6627, + "step": 308 + }, + { + "epoch": 0.06, + "learning_rate": 6.18e-06, + "loss": 2.7212, + "step": 309 + }, + { + "epoch": 0.07, + "learning_rate": 6.200000000000001e-06, + "loss": 2.6335, + "step": 310 + }, + { + "epoch": 0.07, + "learning_rate": 6.220000000000001e-06, + "loss": 2.6973, + "step": 311 + }, + { + "epoch": 0.07, + "learning_rate": 6.24e-06, + "loss": 2.6362, + "step": 312 + }, + { + "epoch": 0.07, + "learning_rate": 6.26e-06, + "loss": 2.6919, + "step": 313 + }, + { + "epoch": 0.07, + "learning_rate": 6.280000000000001e-06, + "loss": 2.6531, + "step": 314 + }, + { + "epoch": 0.07, + "learning_rate": 6.300000000000001e-06, + "loss": 2.675, + "step": 315 + }, + { + "epoch": 0.07, + "learning_rate": 6.3200000000000005e-06, + "loss": 2.7016, + "step": 316 + }, + { + "epoch": 0.07, + "learning_rate": 6.34e-06, + "loss": 2.6671, + "step": 317 + }, + { + "epoch": 0.07, + "learning_rate": 6.360000000000001e-06, + "loss": 2.6624, + "step": 318 + }, + { + "epoch": 0.07, + "learning_rate": 6.380000000000001e-06, + "loss": 2.5969, + "step": 319 + }, + { + "epoch": 0.07, + "learning_rate": 6.4000000000000006e-06, + "loss": 2.7046, + "step": 320 + }, + { + "epoch": 0.07, + "learning_rate": 6.42e-06, + "loss": 2.6086, + "step": 321 + }, + { + "epoch": 0.07, + "learning_rate": 6.440000000000001e-06, + "loss": 2.6046, + "step": 322 + }, + { + "epoch": 0.07, + "learning_rate": 6.460000000000001e-06, + "loss": 2.702, + "step": 323 + }, + { + "epoch": 0.07, + "learning_rate": 6.480000000000001e-06, + "loss": 2.6956, + "step": 324 + }, + { + "epoch": 0.07, + "learning_rate": 6.5000000000000004e-06, + "loss": 2.6409, + "step": 325 + }, + { + "epoch": 0.07, + "learning_rate": 6.520000000000001e-06, + "loss": 2.5939, + "step": 326 + }, + { + "epoch": 0.07, + "learning_rate": 6.540000000000001e-06, + "loss": 2.6228, + "step": 327 + }, + { + "epoch": 0.07, + "learning_rate": 6.560000000000001e-06, + "loss": 2.678, + "step": 328 + }, + { + "epoch": 0.07, + "learning_rate": 6.5800000000000005e-06, + "loss": 2.6929, + "step": 329 + }, + { + "epoch": 0.07, + "learning_rate": 6.600000000000001e-06, + "loss": 2.7312, + "step": 330 + }, + { + "epoch": 0.07, + "learning_rate": 6.620000000000001e-06, + "loss": 2.5999, + "step": 331 + }, + { + "epoch": 0.07, + "learning_rate": 6.640000000000001e-06, + "loss": 2.779, + "step": 332 + }, + { + "epoch": 0.07, + "learning_rate": 6.660000000000001e-06, + "loss": 2.7276, + "step": 333 + }, + { + "epoch": 0.07, + "learning_rate": 6.680000000000001e-06, + "loss": 2.6987, + "step": 334 + }, + { + "epoch": 0.07, + "learning_rate": 6.700000000000001e-06, + "loss": 2.7404, + "step": 335 + }, + { + "epoch": 0.07, + "learning_rate": 6.720000000000001e-06, + "loss": 2.6658, + "step": 336 + }, + { + "epoch": 0.07, + "learning_rate": 6.740000000000001e-06, + "loss": 2.6594, + "step": 337 + }, + { + "epoch": 0.07, + "learning_rate": 6.760000000000001e-06, + "loss": 2.7193, + "step": 338 + }, + { + "epoch": 0.07, + "learning_rate": 6.780000000000001e-06, + "loss": 2.7091, + "step": 339 + }, + { + "epoch": 0.07, + "learning_rate": 6.800000000000001e-06, + "loss": 2.6506, + "step": 340 + }, + { + "epoch": 0.07, + "learning_rate": 6.820000000000001e-06, + "loss": 2.7314, + "step": 341 + }, + { + "epoch": 0.07, + "learning_rate": 6.8400000000000014e-06, + "loss": 2.6665, + "step": 342 + }, + { + "epoch": 0.07, + "learning_rate": 6.860000000000001e-06, + "loss": 2.6355, + "step": 343 + }, + { + "epoch": 0.07, + "learning_rate": 6.88e-06, + "loss": 2.7268, + "step": 344 + }, + { + "epoch": 0.07, + "learning_rate": 6.9e-06, + "loss": 2.6226, + "step": 345 + }, + { + "epoch": 0.07, + "learning_rate": 6.92e-06, + "loss": 2.6505, + "step": 346 + }, + { + "epoch": 0.07, + "learning_rate": 6.9400000000000005e-06, + "loss": 2.6162, + "step": 347 + }, + { + "epoch": 0.07, + "learning_rate": 6.96e-06, + "loss": 2.668, + "step": 348 + }, + { + "epoch": 0.07, + "learning_rate": 6.98e-06, + "loss": 2.6221, + "step": 349 + }, + { + "epoch": 0.07, + "learning_rate": 7e-06, + "loss": 2.6671, + "step": 350 + }, + { + "epoch": 0.07, + "learning_rate": 7.0200000000000006e-06, + "loss": 2.6769, + "step": 351 + }, + { + "epoch": 0.07, + "learning_rate": 7.04e-06, + "loss": 2.6362, + "step": 352 + }, + { + "epoch": 0.07, + "learning_rate": 7.06e-06, + "loss": 2.6491, + "step": 353 + }, + { + "epoch": 0.07, + "learning_rate": 7.08e-06, + "loss": 2.6822, + "step": 354 + }, + { + "epoch": 0.07, + "learning_rate": 7.100000000000001e-06, + "loss": 2.6978, + "step": 355 + }, + { + "epoch": 0.07, + "learning_rate": 7.1200000000000004e-06, + "loss": 2.6441, + "step": 356 + }, + { + "epoch": 0.07, + "learning_rate": 7.14e-06, + "loss": 2.5999, + "step": 357 + }, + { + "epoch": 0.08, + "learning_rate": 7.16e-06, + "loss": 2.6134, + "step": 358 + }, + { + "epoch": 0.08, + "learning_rate": 7.180000000000001e-06, + "loss": 2.6324, + "step": 359 + }, + { + "epoch": 0.08, + "learning_rate": 7.2000000000000005e-06, + "loss": 2.629, + "step": 360 + }, + { + "epoch": 0.08, + "learning_rate": 7.22e-06, + "loss": 2.686, + "step": 361 + }, + { + "epoch": 0.08, + "learning_rate": 7.24e-06, + "loss": 2.6586, + "step": 362 + }, + { + "epoch": 0.08, + "learning_rate": 7.260000000000001e-06, + "loss": 2.675, + "step": 363 + }, + { + "epoch": 0.08, + "learning_rate": 7.280000000000001e-06, + "loss": 2.6989, + "step": 364 + }, + { + "epoch": 0.08, + "learning_rate": 7.3e-06, + "loss": 2.7038, + "step": 365 + }, + { + "epoch": 0.08, + "learning_rate": 7.32e-06, + "loss": 2.6683, + "step": 366 + }, + { + "epoch": 0.08, + "learning_rate": 7.340000000000001e-06, + "loss": 2.6558, + "step": 367 + }, + { + "epoch": 0.08, + "learning_rate": 7.360000000000001e-06, + "loss": 2.7088, + "step": 368 + }, + { + "epoch": 0.08, + "learning_rate": 7.3800000000000005e-06, + "loss": 2.6915, + "step": 369 + }, + { + "epoch": 0.08, + "learning_rate": 7.4e-06, + "loss": 2.6242, + "step": 370 + }, + { + "epoch": 0.08, + "learning_rate": 7.420000000000001e-06, + "loss": 2.695, + "step": 371 + }, + { + "epoch": 0.08, + "learning_rate": 7.440000000000001e-06, + "loss": 2.6755, + "step": 372 + }, + { + "epoch": 0.08, + "learning_rate": 7.4600000000000006e-06, + "loss": 2.6543, + "step": 373 + }, + { + "epoch": 0.08, + "learning_rate": 7.48e-06, + "loss": 2.709, + "step": 374 + }, + { + "epoch": 0.08, + "learning_rate": 7.500000000000001e-06, + "loss": 2.6571, + "step": 375 + }, + { + "epoch": 0.08, + "learning_rate": 7.520000000000001e-06, + "loss": 2.6986, + "step": 376 + }, + { + "epoch": 0.08, + "learning_rate": 7.540000000000001e-06, + "loss": 2.6546, + "step": 377 + }, + { + "epoch": 0.08, + "learning_rate": 7.5600000000000005e-06, + "loss": 2.6111, + "step": 378 + }, + { + "epoch": 0.08, + "learning_rate": 7.58e-06, + "loss": 2.6983, + "step": 379 + }, + { + "epoch": 0.08, + "learning_rate": 7.600000000000001e-06, + "loss": 2.6343, + "step": 380 + }, + { + "epoch": 0.08, + "learning_rate": 7.620000000000001e-06, + "loss": 2.5914, + "step": 381 + }, + { + "epoch": 0.08, + "learning_rate": 7.640000000000001e-06, + "loss": 2.6637, + "step": 382 + }, + { + "epoch": 0.08, + "learning_rate": 7.660000000000001e-06, + "loss": 2.7317, + "step": 383 + }, + { + "epoch": 0.08, + "learning_rate": 7.680000000000001e-06, + "loss": 2.7443, + "step": 384 + }, + { + "epoch": 0.08, + "learning_rate": 7.7e-06, + "loss": 2.7185, + "step": 385 + }, + { + "epoch": 0.08, + "learning_rate": 7.72e-06, + "loss": 2.6855, + "step": 386 + }, + { + "epoch": 0.08, + "learning_rate": 7.74e-06, + "loss": 2.7489, + "step": 387 + }, + { + "epoch": 0.08, + "learning_rate": 7.76e-06, + "loss": 2.6577, + "step": 388 + }, + { + "epoch": 0.08, + "learning_rate": 7.78e-06, + "loss": 2.7105, + "step": 389 + }, + { + "epoch": 0.08, + "learning_rate": 7.800000000000002e-06, + "loss": 2.7145, + "step": 390 + }, + { + "epoch": 0.08, + "learning_rate": 7.820000000000001e-06, + "loss": 2.6599, + "step": 391 + }, + { + "epoch": 0.08, + "learning_rate": 7.840000000000001e-06, + "loss": 2.6772, + "step": 392 + }, + { + "epoch": 0.08, + "learning_rate": 7.860000000000001e-06, + "loss": 2.6592, + "step": 393 + }, + { + "epoch": 0.08, + "learning_rate": 7.88e-06, + "loss": 2.6568, + "step": 394 + }, + { + "epoch": 0.08, + "learning_rate": 7.9e-06, + "loss": 2.7224, + "step": 395 + }, + { + "epoch": 0.08, + "learning_rate": 7.92e-06, + "loss": 2.6833, + "step": 396 + }, + { + "epoch": 0.08, + "learning_rate": 7.94e-06, + "loss": 2.6479, + "step": 397 + }, + { + "epoch": 0.08, + "learning_rate": 7.960000000000002e-06, + "loss": 2.7043, + "step": 398 + }, + { + "epoch": 0.08, + "learning_rate": 7.980000000000002e-06, + "loss": 2.6985, + "step": 399 + }, + { + "epoch": 0.08, + "learning_rate": 8.000000000000001e-06, + "loss": 2.7087, + "step": 400 + }, + { + "epoch": 0.08, + "learning_rate": 8.020000000000001e-06, + "loss": 2.7109, + "step": 401 + }, + { + "epoch": 0.08, + "learning_rate": 8.040000000000001e-06, + "loss": 2.6745, + "step": 402 + }, + { + "epoch": 0.08, + "learning_rate": 8.06e-06, + "loss": 2.7217, + "step": 403 + }, + { + "epoch": 0.08, + "learning_rate": 8.08e-06, + "loss": 2.6532, + "step": 404 + }, + { + "epoch": 0.08, + "learning_rate": 8.1e-06, + "loss": 2.717, + "step": 405 + }, + { + "epoch": 0.09, + "learning_rate": 8.120000000000002e-06, + "loss": 2.6935, + "step": 406 + }, + { + "epoch": 0.09, + "learning_rate": 8.14e-06, + "loss": 2.6677, + "step": 407 + }, + { + "epoch": 0.09, + "learning_rate": 8.16e-06, + "loss": 2.6646, + "step": 408 + }, + { + "epoch": 0.09, + "learning_rate": 8.18e-06, + "loss": 2.6363, + "step": 409 + }, + { + "epoch": 0.09, + "learning_rate": 8.2e-06, + "loss": 2.6701, + "step": 410 + }, + { + "epoch": 0.09, + "learning_rate": 8.220000000000001e-06, + "loss": 2.6768, + "step": 411 + }, + { + "epoch": 0.09, + "learning_rate": 8.24e-06, + "loss": 2.5956, + "step": 412 + }, + { + "epoch": 0.09, + "learning_rate": 8.26e-06, + "loss": 2.7127, + "step": 413 + }, + { + "epoch": 0.09, + "learning_rate": 8.28e-06, + "loss": 2.623, + "step": 414 + }, + { + "epoch": 0.09, + "learning_rate": 8.3e-06, + "loss": 2.6493, + "step": 415 + }, + { + "epoch": 0.09, + "learning_rate": 8.32e-06, + "loss": 2.6848, + "step": 416 + }, + { + "epoch": 0.09, + "learning_rate": 8.34e-06, + "loss": 2.6693, + "step": 417 + }, + { + "epoch": 0.09, + "learning_rate": 8.36e-06, + "loss": 2.6958, + "step": 418 + }, + { + "epoch": 0.09, + "learning_rate": 8.380000000000001e-06, + "loss": 2.65, + "step": 419 + }, + { + "epoch": 0.09, + "learning_rate": 8.400000000000001e-06, + "loss": 2.708, + "step": 420 + }, + { + "epoch": 0.09, + "learning_rate": 8.42e-06, + "loss": 2.6194, + "step": 421 + }, + { + "epoch": 0.09, + "learning_rate": 8.44e-06, + "loss": 2.6234, + "step": 422 + }, + { + "epoch": 0.09, + "learning_rate": 8.46e-06, + "loss": 2.6272, + "step": 423 + }, + { + "epoch": 0.09, + "learning_rate": 8.48e-06, + "loss": 2.65, + "step": 424 + }, + { + "epoch": 0.09, + "learning_rate": 8.5e-06, + "loss": 2.6509, + "step": 425 + }, + { + "epoch": 0.09, + "learning_rate": 8.52e-06, + "loss": 2.6685, + "step": 426 + }, + { + "epoch": 0.09, + "learning_rate": 8.540000000000001e-06, + "loss": 2.7005, + "step": 427 + }, + { + "epoch": 0.09, + "learning_rate": 8.560000000000001e-06, + "loss": 2.712, + "step": 428 + }, + { + "epoch": 0.09, + "learning_rate": 8.580000000000001e-06, + "loss": 2.6477, + "step": 429 + }, + { + "epoch": 0.09, + "learning_rate": 8.6e-06, + "loss": 2.6886, + "step": 430 + }, + { + "epoch": 0.09, + "learning_rate": 8.62e-06, + "loss": 2.6384, + "step": 431 + }, + { + "epoch": 0.09, + "learning_rate": 8.64e-06, + "loss": 2.6381, + "step": 432 + }, + { + "epoch": 0.09, + "learning_rate": 8.66e-06, + "loss": 2.7119, + "step": 433 + }, + { + "epoch": 0.09, + "learning_rate": 8.68e-06, + "loss": 2.6355, + "step": 434 + }, + { + "epoch": 0.09, + "learning_rate": 8.700000000000001e-06, + "loss": 2.7274, + "step": 435 + }, + { + "epoch": 0.09, + "learning_rate": 8.720000000000001e-06, + "loss": 2.7153, + "step": 436 + }, + { + "epoch": 0.09, + "learning_rate": 8.740000000000001e-06, + "loss": 2.5978, + "step": 437 + }, + { + "epoch": 0.09, + "learning_rate": 8.76e-06, + "loss": 2.5917, + "step": 438 + }, + { + "epoch": 0.09, + "learning_rate": 8.78e-06, + "loss": 2.6581, + "step": 439 + }, + { + "epoch": 0.09, + "learning_rate": 8.8e-06, + "loss": 2.6789, + "step": 440 + }, + { + "epoch": 0.09, + "learning_rate": 8.82e-06, + "loss": 2.6134, + "step": 441 + }, + { + "epoch": 0.09, + "learning_rate": 8.84e-06, + "loss": 2.646, + "step": 442 + }, + { + "epoch": 0.09, + "learning_rate": 8.860000000000002e-06, + "loss": 2.6814, + "step": 443 + }, + { + "epoch": 0.09, + "learning_rate": 8.880000000000001e-06, + "loss": 2.6677, + "step": 444 + }, + { + "epoch": 0.09, + "learning_rate": 8.900000000000001e-06, + "loss": 2.7531, + "step": 445 + }, + { + "epoch": 0.09, + "learning_rate": 8.920000000000001e-06, + "loss": 2.5807, + "step": 446 + }, + { + "epoch": 0.09, + "learning_rate": 8.94e-06, + "loss": 2.6369, + "step": 447 + }, + { + "epoch": 0.09, + "learning_rate": 8.96e-06, + "loss": 2.7019, + "step": 448 + }, + { + "epoch": 0.09, + "learning_rate": 8.98e-06, + "loss": 2.6746, + "step": 449 + }, + { + "epoch": 0.09, + "learning_rate": 9e-06, + "loss": 2.7104, + "step": 450 + }, + { + "epoch": 0.09, + "learning_rate": 9.020000000000002e-06, + "loss": 2.6392, + "step": 451 + }, + { + "epoch": 0.09, + "learning_rate": 9.040000000000002e-06, + "loss": 2.7314, + "step": 452 + }, + { + "epoch": 0.1, + "learning_rate": 9.060000000000001e-06, + "loss": 2.6959, + "step": 453 + }, + { + "epoch": 0.1, + "learning_rate": 9.080000000000001e-06, + "loss": 2.7092, + "step": 454 + }, + { + "epoch": 0.1, + "learning_rate": 9.100000000000001e-06, + "loss": 2.6178, + "step": 455 + }, + { + "epoch": 0.1, + "learning_rate": 9.12e-06, + "loss": 2.6562, + "step": 456 + }, + { + "epoch": 0.1, + "learning_rate": 9.14e-06, + "loss": 2.6787, + "step": 457 + }, + { + "epoch": 0.1, + "learning_rate": 9.16e-06, + "loss": 2.6377, + "step": 458 + }, + { + "epoch": 0.1, + "learning_rate": 9.180000000000002e-06, + "loss": 2.6307, + "step": 459 + }, + { + "epoch": 0.1, + "learning_rate": 9.200000000000002e-06, + "loss": 2.6426, + "step": 460 + }, + { + "epoch": 0.1, + "learning_rate": 9.220000000000002e-06, + "loss": 2.5939, + "step": 461 + }, + { + "epoch": 0.1, + "learning_rate": 9.240000000000001e-06, + "loss": 2.7205, + "step": 462 + }, + { + "epoch": 0.1, + "learning_rate": 9.260000000000001e-06, + "loss": 2.6742, + "step": 463 + }, + { + "epoch": 0.1, + "learning_rate": 9.280000000000001e-06, + "loss": 2.6567, + "step": 464 + }, + { + "epoch": 0.1, + "learning_rate": 9.3e-06, + "loss": 2.5991, + "step": 465 + }, + { + "epoch": 0.1, + "learning_rate": 9.32e-06, + "loss": 2.6078, + "step": 466 + }, + { + "epoch": 0.1, + "learning_rate": 9.340000000000002e-06, + "loss": 2.6571, + "step": 467 + }, + { + "epoch": 0.1, + "learning_rate": 9.360000000000002e-06, + "loss": 2.6025, + "step": 468 + }, + { + "epoch": 0.1, + "learning_rate": 9.38e-06, + "loss": 2.6927, + "step": 469 + }, + { + "epoch": 0.1, + "learning_rate": 9.4e-06, + "loss": 2.7022, + "step": 470 + }, + { + "epoch": 0.1, + "learning_rate": 9.42e-06, + "loss": 2.7051, + "step": 471 + }, + { + "epoch": 0.1, + "learning_rate": 9.440000000000001e-06, + "loss": 2.6819, + "step": 472 + }, + { + "epoch": 0.1, + "learning_rate": 9.460000000000001e-06, + "loss": 2.6613, + "step": 473 + }, + { + "epoch": 0.1, + "learning_rate": 9.48e-06, + "loss": 2.6323, + "step": 474 + }, + { + "epoch": 0.1, + "learning_rate": 9.5e-06, + "loss": 2.6013, + "step": 475 + }, + { + "epoch": 0.1, + "learning_rate": 9.52e-06, + "loss": 2.7117, + "step": 476 + }, + { + "epoch": 0.1, + "learning_rate": 9.54e-06, + "loss": 2.6806, + "step": 477 + }, + { + "epoch": 0.1, + "learning_rate": 9.56e-06, + "loss": 2.6685, + "step": 478 + }, + { + "epoch": 0.1, + "learning_rate": 9.58e-06, + "loss": 2.6483, + "step": 479 + }, + { + "epoch": 0.1, + "learning_rate": 9.600000000000001e-06, + "loss": 2.6636, + "step": 480 + }, + { + "epoch": 0.1, + "learning_rate": 9.620000000000001e-06, + "loss": 2.6899, + "step": 481 + }, + { + "epoch": 0.1, + "learning_rate": 9.640000000000001e-06, + "loss": 2.6207, + "step": 482 + }, + { + "epoch": 0.1, + "learning_rate": 9.66e-06, + "loss": 2.6955, + "step": 483 + }, + { + "epoch": 0.1, + "learning_rate": 9.68e-06, + "loss": 2.652, + "step": 484 + }, + { + "epoch": 0.1, + "learning_rate": 9.7e-06, + "loss": 2.6327, + "step": 485 + }, + { + "epoch": 0.1, + "learning_rate": 9.72e-06, + "loss": 2.6394, + "step": 486 + }, + { + "epoch": 0.1, + "learning_rate": 9.74e-06, + "loss": 2.7203, + "step": 487 + }, + { + "epoch": 0.1, + "learning_rate": 9.760000000000001e-06, + "loss": 2.6816, + "step": 488 + }, + { + "epoch": 0.1, + "learning_rate": 9.780000000000001e-06, + "loss": 2.671, + "step": 489 + }, + { + "epoch": 0.1, + "learning_rate": 9.800000000000001e-06, + "loss": 2.6616, + "step": 490 + }, + { + "epoch": 0.1, + "learning_rate": 9.820000000000001e-06, + "loss": 2.7088, + "step": 491 + }, + { + "epoch": 0.1, + "learning_rate": 9.84e-06, + "loss": 2.6852, + "step": 492 + }, + { + "epoch": 0.1, + "learning_rate": 9.86e-06, + "loss": 2.6654, + "step": 493 + }, + { + "epoch": 0.1, + "learning_rate": 9.88e-06, + "loss": 2.6265, + "step": 494 + }, + { + "epoch": 0.1, + "learning_rate": 9.9e-06, + "loss": 2.6451, + "step": 495 + }, + { + "epoch": 0.1, + "learning_rate": 9.920000000000002e-06, + "loss": 2.6624, + "step": 496 + }, + { + "epoch": 0.1, + "learning_rate": 9.940000000000001e-06, + "loss": 2.6924, + "step": 497 + }, + { + "epoch": 0.1, + "learning_rate": 9.960000000000001e-06, + "loss": 2.6539, + "step": 498 + }, + { + "epoch": 0.1, + "learning_rate": 9.980000000000001e-06, + "loss": 2.6114, + "step": 499 + }, + { + "epoch": 0.1, + "learning_rate": 1e-05, + "loss": 2.6568, + "step": 500 + }, + { + "epoch": 0.11, + "learning_rate": 9.999998644827911e-06, + "loss": 2.6002, + "step": 501 + }, + { + "epoch": 0.11, + "learning_rate": 9.999994579312375e-06, + "loss": 2.694, + "step": 502 + }, + { + "epoch": 0.11, + "learning_rate": 9.999987803455598e-06, + "loss": 2.6409, + "step": 503 + }, + { + "epoch": 0.11, + "learning_rate": 9.999978317261251e-06, + "loss": 2.6881, + "step": 504 + }, + { + "epoch": 0.11, + "learning_rate": 9.999966120734478e-06, + "loss": 2.683, + "step": 505 + }, + { + "epoch": 0.11, + "learning_rate": 9.99995121388189e-06, + "loss": 2.6212, + "step": 506 + }, + { + "epoch": 0.11, + "learning_rate": 9.99993359671157e-06, + "loss": 2.702, + "step": 507 + }, + { + "epoch": 0.11, + "learning_rate": 9.999913269233062e-06, + "loss": 2.6486, + "step": 508 + }, + { + "epoch": 0.11, + "learning_rate": 9.999890231457389e-06, + "loss": 2.6342, + "step": 509 + }, + { + "epoch": 0.11, + "learning_rate": 9.999864483397036e-06, + "loss": 2.6764, + "step": 510 + }, + { + "epoch": 0.11, + "learning_rate": 9.999836025065965e-06, + "loss": 2.679, + "step": 511 + }, + { + "epoch": 0.11, + "learning_rate": 9.999804856479599e-06, + "loss": 2.6428, + "step": 512 + }, + { + "epoch": 0.11, + "learning_rate": 9.999770977654835e-06, + "loss": 2.6633, + "step": 513 + }, + { + "epoch": 0.11, + "learning_rate": 9.999734388610034e-06, + "loss": 2.6724, + "step": 514 + }, + { + "epoch": 0.11, + "learning_rate": 9.999695089365035e-06, + "loss": 2.6613, + "step": 515 + }, + { + "epoch": 0.11, + "learning_rate": 9.999653079941137e-06, + "loss": 2.6902, + "step": 516 + }, + { + "epoch": 0.11, + "learning_rate": 9.999608360361114e-06, + "loss": 2.6902, + "step": 517 + }, + { + "epoch": 0.11, + "learning_rate": 9.999560930649206e-06, + "loss": 2.6258, + "step": 518 + }, + { + "epoch": 0.11, + "learning_rate": 9.999510790831126e-06, + "loss": 2.6515, + "step": 519 + }, + { + "epoch": 0.11, + "learning_rate": 9.999457940934048e-06, + "loss": 2.6984, + "step": 520 + }, + { + "epoch": 0.11, + "learning_rate": 9.999402380986624e-06, + "loss": 2.727, + "step": 521 + }, + { + "epoch": 0.11, + "learning_rate": 9.999344111018972e-06, + "loss": 2.6797, + "step": 522 + }, + { + "epoch": 0.11, + "learning_rate": 9.999283131062676e-06, + "loss": 2.6181, + "step": 523 + }, + { + "epoch": 0.11, + "learning_rate": 9.999219441150791e-06, + "loss": 2.5897, + "step": 524 + }, + { + "epoch": 0.11, + "learning_rate": 9.999153041317844e-06, + "loss": 2.5722, + "step": 525 + }, + { + "epoch": 0.11, + "learning_rate": 9.999083931599826e-06, + "loss": 2.7107, + "step": 526 + }, + { + "epoch": 0.11, + "learning_rate": 9.999012112034202e-06, + "loss": 2.6413, + "step": 527 + }, + { + "epoch": 0.11, + "learning_rate": 9.9989375826599e-06, + "loss": 2.641, + "step": 528 + }, + { + "epoch": 0.11, + "learning_rate": 9.998860343517321e-06, + "loss": 2.6346, + "step": 529 + }, + { + "epoch": 0.11, + "learning_rate": 9.998780394648332e-06, + "loss": 2.5769, + "step": 530 + }, + { + "epoch": 0.11, + "learning_rate": 9.998697736096276e-06, + "loss": 2.6819, + "step": 531 + }, + { + "epoch": 0.11, + "learning_rate": 9.998612367905956e-06, + "loss": 2.6485, + "step": 532 + }, + { + "epoch": 0.11, + "learning_rate": 9.998524290123648e-06, + "loss": 2.6902, + "step": 533 + }, + { + "epoch": 0.11, + "learning_rate": 9.998433502797097e-06, + "loss": 2.7011, + "step": 534 + }, + { + "epoch": 0.11, + "learning_rate": 9.998340005975512e-06, + "loss": 2.6803, + "step": 535 + }, + { + "epoch": 0.11, + "learning_rate": 9.998243799709582e-06, + "loss": 2.6414, + "step": 536 + }, + { + "epoch": 0.11, + "learning_rate": 9.99814488405145e-06, + "loss": 2.6829, + "step": 537 + }, + { + "epoch": 0.11, + "learning_rate": 9.998043259054741e-06, + "loss": 2.6772, + "step": 538 + }, + { + "epoch": 0.11, + "learning_rate": 9.99793892477454e-06, + "loss": 2.6349, + "step": 539 + }, + { + "epoch": 0.11, + "learning_rate": 9.997831881267403e-06, + "loss": 2.6979, + "step": 540 + }, + { + "epoch": 0.11, + "learning_rate": 9.997722128591354e-06, + "loss": 2.7227, + "step": 541 + }, + { + "epoch": 0.11, + "learning_rate": 9.99760966680589e-06, + "loss": 2.6399, + "step": 542 + }, + { + "epoch": 0.11, + "learning_rate": 9.99749449597197e-06, + "loss": 2.6944, + "step": 543 + }, + { + "epoch": 0.11, + "learning_rate": 9.997376616152026e-06, + "loss": 2.6157, + "step": 544 + }, + { + "epoch": 0.11, + "learning_rate": 9.997256027409957e-06, + "loss": 2.7393, + "step": 545 + }, + { + "epoch": 0.11, + "learning_rate": 9.99713272981113e-06, + "loss": 2.6502, + "step": 546 + }, + { + "epoch": 0.11, + "learning_rate": 9.99700672342238e-06, + "loss": 2.6109, + "step": 547 + }, + { + "epoch": 0.11, + "learning_rate": 9.996878008312013e-06, + "loss": 2.6915, + "step": 548 + }, + { + "epoch": 0.12, + "learning_rate": 9.996746584549796e-06, + "loss": 2.704, + "step": 549 + }, + { + "epoch": 0.12, + "learning_rate": 9.99661245220698e-06, + "loss": 2.7168, + "step": 550 + }, + { + "epoch": 0.12, + "learning_rate": 9.996475611356265e-06, + "loss": 2.7126, + "step": 551 + }, + { + "epoch": 0.12, + "learning_rate": 9.996336062071831e-06, + "loss": 2.6848, + "step": 552 + }, + { + "epoch": 0.12, + "learning_rate": 9.996193804429325e-06, + "loss": 2.6101, + "step": 553 + }, + { + "epoch": 0.12, + "learning_rate": 9.996048838505857e-06, + "loss": 2.6074, + "step": 554 + }, + { + "epoch": 0.12, + "learning_rate": 9.995901164380011e-06, + "loss": 2.6212, + "step": 555 + }, + { + "epoch": 0.12, + "learning_rate": 9.995750782131836e-06, + "loss": 2.6692, + "step": 556 + }, + { + "epoch": 0.12, + "learning_rate": 9.995597691842852e-06, + "loss": 2.7155, + "step": 557 + }, + { + "epoch": 0.12, + "learning_rate": 9.995441893596039e-06, + "loss": 2.6616, + "step": 558 + }, + { + "epoch": 0.12, + "learning_rate": 9.995283387475854e-06, + "loss": 2.639, + "step": 559 + }, + { + "epoch": 0.12, + "learning_rate": 9.995122173568217e-06, + "loss": 2.5709, + "step": 560 + }, + { + "epoch": 0.12, + "learning_rate": 9.994958251960518e-06, + "loss": 2.6758, + "step": 561 + }, + { + "epoch": 0.12, + "learning_rate": 9.994791622741615e-06, + "loss": 2.6284, + "step": 562 + }, + { + "epoch": 0.12, + "learning_rate": 9.99462228600183e-06, + "loss": 2.614, + "step": 563 + }, + { + "epoch": 0.12, + "learning_rate": 9.994450241832955e-06, + "loss": 2.6514, + "step": 564 + }, + { + "epoch": 0.12, + "learning_rate": 9.99427549032825e-06, + "loss": 2.6195, + "step": 565 + }, + { + "epoch": 0.12, + "learning_rate": 9.994098031582446e-06, + "loss": 2.6823, + "step": 566 + }, + { + "epoch": 0.12, + "learning_rate": 9.993917865691734e-06, + "loss": 2.5984, + "step": 567 + }, + { + "epoch": 0.12, + "learning_rate": 9.993734992753777e-06, + "loss": 2.6017, + "step": 568 + }, + { + "epoch": 0.12, + "learning_rate": 9.993549412867705e-06, + "loss": 2.6255, + "step": 569 + }, + { + "epoch": 0.12, + "learning_rate": 9.993361126134116e-06, + "loss": 2.6241, + "step": 570 + }, + { + "epoch": 0.12, + "learning_rate": 9.993170132655074e-06, + "loss": 2.7023, + "step": 571 + }, + { + "epoch": 0.12, + "learning_rate": 9.992976432534108e-06, + "loss": 2.5681, + "step": 572 + }, + { + "epoch": 0.12, + "learning_rate": 9.99278002587622e-06, + "loss": 2.6258, + "step": 573 + }, + { + "epoch": 0.12, + "learning_rate": 9.992580912787876e-06, + "loss": 2.6261, + "step": 574 + }, + { + "epoch": 0.12, + "learning_rate": 9.992379093377007e-06, + "loss": 2.7511, + "step": 575 + }, + { + "epoch": 0.12, + "learning_rate": 9.992174567753013e-06, + "loss": 2.6543, + "step": 576 + }, + { + "epoch": 0.12, + "learning_rate": 9.991967336026764e-06, + "loss": 2.6525, + "step": 577 + }, + { + "epoch": 0.12, + "learning_rate": 9.99175739831059e-06, + "loss": 2.6664, + "step": 578 + }, + { + "epoch": 0.12, + "learning_rate": 9.991544754718294e-06, + "loss": 2.647, + "step": 579 + }, + { + "epoch": 0.12, + "learning_rate": 9.991329405365142e-06, + "loss": 2.7218, + "step": 580 + }, + { + "epoch": 0.12, + "learning_rate": 9.99111135036787e-06, + "loss": 2.7051, + "step": 581 + }, + { + "epoch": 0.12, + "learning_rate": 9.990890589844676e-06, + "loss": 2.7164, + "step": 582 + }, + { + "epoch": 0.12, + "learning_rate": 9.990667123915232e-06, + "loss": 2.7361, + "step": 583 + }, + { + "epoch": 0.12, + "learning_rate": 9.990440952700668e-06, + "loss": 2.5928, + "step": 584 + }, + { + "epoch": 0.12, + "learning_rate": 9.990212076323587e-06, + "loss": 2.706, + "step": 585 + }, + { + "epoch": 0.12, + "learning_rate": 9.989980494908052e-06, + "loss": 2.6298, + "step": 586 + }, + { + "epoch": 0.12, + "learning_rate": 9.989746208579601e-06, + "loss": 2.6343, + "step": 587 + }, + { + "epoch": 0.12, + "learning_rate": 9.989509217465227e-06, + "loss": 2.5708, + "step": 588 + }, + { + "epoch": 0.12, + "learning_rate": 9.989269521693402e-06, + "loss": 2.6394, + "step": 589 + }, + { + "epoch": 0.12, + "learning_rate": 9.989027121394054e-06, + "loss": 2.6512, + "step": 590 + }, + { + "epoch": 0.12, + "learning_rate": 9.988782016698581e-06, + "loss": 2.663, + "step": 591 + }, + { + "epoch": 0.12, + "learning_rate": 9.988534207739849e-06, + "loss": 2.6857, + "step": 592 + }, + { + "epoch": 0.12, + "learning_rate": 9.988283694652183e-06, + "loss": 2.7179, + "step": 593 + }, + { + "epoch": 0.12, + "learning_rate": 9.988030477571382e-06, + "loss": 2.6835, + "step": 594 + }, + { + "epoch": 0.12, + "learning_rate": 9.987774556634706e-06, + "loss": 2.6431, + "step": 595 + }, + { + "epoch": 0.13, + "learning_rate": 9.987515931980882e-06, + "loss": 2.6393, + "step": 596 + }, + { + "epoch": 0.13, + "learning_rate": 9.987254603750103e-06, + "loss": 2.6753, + "step": 597 + }, + { + "epoch": 0.13, + "learning_rate": 9.986990572084025e-06, + "loss": 2.5921, + "step": 598 + }, + { + "epoch": 0.13, + "learning_rate": 9.986723837125772e-06, + "loss": 2.6672, + "step": 599 + }, + { + "epoch": 0.13, + "learning_rate": 9.986454399019934e-06, + "loss": 2.6736, + "step": 600 + }, + { + "epoch": 0.13, + "learning_rate": 9.986182257912564e-06, + "loss": 2.6591, + "step": 601 + }, + { + "epoch": 0.13, + "learning_rate": 9.98590741395118e-06, + "loss": 2.6341, + "step": 602 + }, + { + "epoch": 0.13, + "learning_rate": 9.985629867284769e-06, + "loss": 2.6943, + "step": 603 + }, + { + "epoch": 0.13, + "learning_rate": 9.985349618063778e-06, + "loss": 2.646, + "step": 604 + }, + { + "epoch": 0.13, + "learning_rate": 9.985066666440123e-06, + "loss": 2.7127, + "step": 605 + }, + { + "epoch": 0.13, + "learning_rate": 9.984781012567182e-06, + "loss": 2.6116, + "step": 606 + }, + { + "epoch": 0.13, + "learning_rate": 9.9844926565998e-06, + "loss": 2.6784, + "step": 607 + }, + { + "epoch": 0.13, + "learning_rate": 9.984201598694286e-06, + "loss": 2.688, + "step": 608 + }, + { + "epoch": 0.13, + "learning_rate": 9.983907839008413e-06, + "loss": 2.6809, + "step": 609 + }, + { + "epoch": 0.13, + "learning_rate": 9.98361137770142e-06, + "loss": 2.651, + "step": 610 + }, + { + "epoch": 0.13, + "learning_rate": 9.983312214934005e-06, + "loss": 2.7419, + "step": 611 + }, + { + "epoch": 0.13, + "learning_rate": 9.983010350868341e-06, + "loss": 2.6689, + "step": 612 + }, + { + "epoch": 0.13, + "learning_rate": 9.982705785668053e-06, + "loss": 2.6337, + "step": 613 + }, + { + "epoch": 0.13, + "learning_rate": 9.982398519498245e-06, + "loss": 2.7073, + "step": 614 + }, + { + "epoch": 0.13, + "learning_rate": 9.982088552525466e-06, + "loss": 2.6153, + "step": 615 + }, + { + "epoch": 0.13, + "learning_rate": 9.981775884917746e-06, + "loss": 2.6824, + "step": 616 + }, + { + "epoch": 0.13, + "learning_rate": 9.981460516844573e-06, + "loss": 2.7, + "step": 617 + }, + { + "epoch": 0.13, + "learning_rate": 9.981142448476893e-06, + "loss": 2.6456, + "step": 618 + }, + { + "epoch": 0.13, + "learning_rate": 9.980821679987125e-06, + "loss": 2.6175, + "step": 619 + }, + { + "epoch": 0.13, + "learning_rate": 9.980498211549145e-06, + "loss": 2.6099, + "step": 620 + }, + { + "epoch": 0.13, + "learning_rate": 9.980172043338298e-06, + "loss": 2.7185, + "step": 621 + }, + { + "epoch": 0.13, + "learning_rate": 9.97984317553139e-06, + "loss": 2.6752, + "step": 622 + }, + { + "epoch": 0.13, + "learning_rate": 9.979511608306686e-06, + "loss": 2.6065, + "step": 623 + }, + { + "epoch": 0.13, + "learning_rate": 9.97917734184392e-06, + "loss": 2.6889, + "step": 624 + }, + { + "epoch": 0.13, + "learning_rate": 9.97884037632429e-06, + "loss": 2.6757, + "step": 625 + }, + { + "epoch": 0.13, + "learning_rate": 9.978500711930453e-06, + "loss": 2.7039, + "step": 626 + }, + { + "epoch": 0.13, + "learning_rate": 9.978158348846527e-06, + "loss": 2.7029, + "step": 627 + }, + { + "epoch": 0.13, + "learning_rate": 9.977813287258102e-06, + "loss": 2.7298, + "step": 628 + }, + { + "epoch": 0.13, + "learning_rate": 9.977465527352221e-06, + "loss": 2.621, + "step": 629 + }, + { + "epoch": 0.13, + "learning_rate": 9.977115069317396e-06, + "loss": 2.6071, + "step": 630 + }, + { + "epoch": 0.13, + "learning_rate": 9.976761913343598e-06, + "loss": 2.63, + "step": 631 + }, + { + "epoch": 0.13, + "learning_rate": 9.976406059622263e-06, + "loss": 2.6824, + "step": 632 + }, + { + "epoch": 0.13, + "learning_rate": 9.976047508346287e-06, + "loss": 2.6667, + "step": 633 + }, + { + "epoch": 0.13, + "learning_rate": 9.97568625971003e-06, + "loss": 2.7849, + "step": 634 + }, + { + "epoch": 0.13, + "learning_rate": 9.975322313909315e-06, + "loss": 2.6782, + "step": 635 + }, + { + "epoch": 0.13, + "learning_rate": 9.974955671141425e-06, + "loss": 2.6662, + "step": 636 + }, + { + "epoch": 0.13, + "learning_rate": 9.974586331605104e-06, + "loss": 2.7248, + "step": 637 + }, + { + "epoch": 0.13, + "learning_rate": 9.974214295500561e-06, + "loss": 2.6697, + "step": 638 + }, + { + "epoch": 0.13, + "learning_rate": 9.973839563029464e-06, + "loss": 2.615, + "step": 639 + }, + { + "epoch": 0.13, + "learning_rate": 9.973462134394945e-06, + "loss": 2.6611, + "step": 640 + }, + { + "epoch": 0.13, + "learning_rate": 9.973082009801596e-06, + "loss": 2.7345, + "step": 641 + }, + { + "epoch": 0.13, + "learning_rate": 9.97269918945547e-06, + "loss": 2.6808, + "step": 642 + }, + { + "epoch": 0.13, + "learning_rate": 9.972313673564083e-06, + "loss": 2.7388, + "step": 643 + }, + { + "epoch": 0.14, + "learning_rate": 9.97192546233641e-06, + "loss": 2.6543, + "step": 644 + }, + { + "epoch": 0.14, + "learning_rate": 9.97153455598289e-06, + "loss": 2.6799, + "step": 645 + }, + { + "epoch": 0.14, + "learning_rate": 9.971140954715419e-06, + "loss": 2.6842, + "step": 646 + }, + { + "epoch": 0.14, + "learning_rate": 9.970744658747358e-06, + "loss": 2.6772, + "step": 647 + }, + { + "epoch": 0.14, + "learning_rate": 9.970345668293525e-06, + "loss": 2.6632, + "step": 648 + }, + { + "epoch": 0.14, + "learning_rate": 9.9699439835702e-06, + "loss": 2.6315, + "step": 649 + }, + { + "epoch": 0.14, + "learning_rate": 9.969539604795126e-06, + "loss": 2.6682, + "step": 650 + }, + { + "epoch": 0.14, + "learning_rate": 9.969132532187504e-06, + "loss": 2.5942, + "step": 651 + }, + { + "epoch": 0.14, + "learning_rate": 9.968722765967993e-06, + "loss": 2.6941, + "step": 652 + }, + { + "epoch": 0.14, + "learning_rate": 9.968310306358715e-06, + "loss": 2.6803, + "step": 653 + }, + { + "epoch": 0.14, + "learning_rate": 9.967895153583253e-06, + "loss": 2.5683, + "step": 654 + }, + { + "epoch": 0.14, + "learning_rate": 9.967477307866648e-06, + "loss": 2.7074, + "step": 655 + }, + { + "epoch": 0.14, + "learning_rate": 9.9670567694354e-06, + "loss": 2.6348, + "step": 656 + }, + { + "epoch": 0.14, + "learning_rate": 9.966633538517472e-06, + "loss": 2.6284, + "step": 657 + }, + { + "epoch": 0.14, + "learning_rate": 9.966207615342282e-06, + "loss": 2.7111, + "step": 658 + }, + { + "epoch": 0.14, + "learning_rate": 9.96577900014071e-06, + "loss": 2.6624, + "step": 659 + }, + { + "epoch": 0.14, + "learning_rate": 9.965347693145095e-06, + "loss": 2.6648, + "step": 660 + }, + { + "epoch": 0.14, + "learning_rate": 9.964913694589238e-06, + "loss": 2.6951, + "step": 661 + }, + { + "epoch": 0.14, + "learning_rate": 9.96447700470839e-06, + "loss": 2.6774, + "step": 662 + }, + { + "epoch": 0.14, + "learning_rate": 9.964037623739273e-06, + "loss": 2.637, + "step": 663 + }, + { + "epoch": 0.14, + "learning_rate": 9.96359555192006e-06, + "loss": 2.6553, + "step": 664 + }, + { + "epoch": 0.14, + "learning_rate": 9.963150789490384e-06, + "loss": 2.6878, + "step": 665 + }, + { + "epoch": 0.14, + "learning_rate": 9.962703336691334e-06, + "loss": 2.6946, + "step": 666 + }, + { + "epoch": 0.14, + "learning_rate": 9.962253193765464e-06, + "loss": 2.6363, + "step": 667 + }, + { + "epoch": 0.14, + "learning_rate": 9.961800360956782e-06, + "loss": 2.6716, + "step": 668 + }, + { + "epoch": 0.14, + "learning_rate": 9.961344838510753e-06, + "loss": 2.6444, + "step": 669 + }, + { + "epoch": 0.14, + "learning_rate": 9.960886626674302e-06, + "loss": 2.683, + "step": 670 + }, + { + "epoch": 0.14, + "learning_rate": 9.960425725695812e-06, + "loss": 2.7478, + "step": 671 + }, + { + "epoch": 0.14, + "learning_rate": 9.959962135825123e-06, + "loss": 2.6451, + "step": 672 + }, + { + "epoch": 0.14, + "learning_rate": 9.959495857313533e-06, + "loss": 2.7052, + "step": 673 + }, + { + "epoch": 0.14, + "learning_rate": 9.959026890413794e-06, + "loss": 2.6571, + "step": 674 + }, + { + "epoch": 0.14, + "learning_rate": 9.958555235380122e-06, + "loss": 2.7037, + "step": 675 + }, + { + "epoch": 0.14, + "learning_rate": 9.958080892468187e-06, + "loss": 2.7053, + "step": 676 + }, + { + "epoch": 0.14, + "learning_rate": 9.957603861935112e-06, + "loss": 2.7473, + "step": 677 + }, + { + "epoch": 0.14, + "learning_rate": 9.957124144039483e-06, + "loss": 2.6903, + "step": 678 + }, + { + "epoch": 0.14, + "learning_rate": 9.956641739041338e-06, + "loss": 2.7139, + "step": 679 + }, + { + "epoch": 0.14, + "learning_rate": 9.956156647202175e-06, + "loss": 2.6698, + "step": 680 + }, + { + "epoch": 0.14, + "learning_rate": 9.95566886878495e-06, + "loss": 2.6818, + "step": 681 + }, + { + "epoch": 0.14, + "learning_rate": 9.955178404054066e-06, + "loss": 2.6803, + "step": 682 + }, + { + "epoch": 0.14, + "learning_rate": 9.954685253275393e-06, + "loss": 2.623, + "step": 683 + }, + { + "epoch": 0.14, + "learning_rate": 9.954189416716253e-06, + "loss": 2.6657, + "step": 684 + }, + { + "epoch": 0.14, + "learning_rate": 9.953690894645423e-06, + "loss": 2.6601, + "step": 685 + }, + { + "epoch": 0.14, + "learning_rate": 9.953189687333133e-06, + "loss": 2.6954, + "step": 686 + }, + { + "epoch": 0.14, + "learning_rate": 9.952685795051078e-06, + "loss": 2.6698, + "step": 687 + }, + { + "epoch": 0.14, + "learning_rate": 9.952179218072397e-06, + "loss": 2.7103, + "step": 688 + }, + { + "epoch": 0.14, + "learning_rate": 9.951669956671691e-06, + "loss": 2.6213, + "step": 689 + }, + { + "epoch": 0.14, + "learning_rate": 9.951158011125018e-06, + "loss": 2.6367, + "step": 690 + }, + { + "epoch": 0.14, + "learning_rate": 9.950643381709882e-06, + "loss": 2.685, + "step": 691 + }, + { + "epoch": 0.15, + "learning_rate": 9.950126068705252e-06, + "loss": 2.6444, + "step": 692 + }, + { + "epoch": 0.15, + "learning_rate": 9.949606072391544e-06, + "loss": 2.6503, + "step": 693 + }, + { + "epoch": 0.15, + "learning_rate": 9.949083393050636e-06, + "loss": 2.6372, + "step": 694 + }, + { + "epoch": 0.15, + "learning_rate": 9.948558030965853e-06, + "loss": 2.6052, + "step": 695 + }, + { + "epoch": 0.15, + "learning_rate": 9.948029986421976e-06, + "loss": 2.6796, + "step": 696 + }, + { + "epoch": 0.15, + "learning_rate": 9.947499259705246e-06, + "loss": 2.6197, + "step": 697 + }, + { + "epoch": 0.15, + "learning_rate": 9.946965851103351e-06, + "loss": 2.677, + "step": 698 + }, + { + "epoch": 0.15, + "learning_rate": 9.946429760905436e-06, + "loss": 2.6577, + "step": 699 + }, + { + "epoch": 0.15, + "learning_rate": 9.945890989402096e-06, + "loss": 2.6091, + "step": 700 + }, + { + "epoch": 0.15, + "learning_rate": 9.945349536885386e-06, + "loss": 2.6555, + "step": 701 + }, + { + "epoch": 0.15, + "learning_rate": 9.944805403648808e-06, + "loss": 2.7048, + "step": 702 + }, + { + "epoch": 0.15, + "learning_rate": 9.94425858998732e-06, + "loss": 2.6705, + "step": 703 + }, + { + "epoch": 0.15, + "learning_rate": 9.943709096197334e-06, + "loss": 2.6543, + "step": 704 + }, + { + "epoch": 0.15, + "learning_rate": 9.943156922576714e-06, + "loss": 2.6948, + "step": 705 + }, + { + "epoch": 0.15, + "learning_rate": 9.942602069424773e-06, + "loss": 2.7401, + "step": 706 + }, + { + "epoch": 0.15, + "learning_rate": 9.942044537042281e-06, + "loss": 2.6685, + "step": 707 + }, + { + "epoch": 0.15, + "learning_rate": 9.94148432573146e-06, + "loss": 2.7075, + "step": 708 + }, + { + "epoch": 0.15, + "learning_rate": 9.940921435795982e-06, + "loss": 2.638, + "step": 709 + }, + { + "epoch": 0.15, + "learning_rate": 9.940355867540973e-06, + "loss": 2.6699, + "step": 710 + }, + { + "epoch": 0.15, + "learning_rate": 9.939787621273009e-06, + "loss": 2.6169, + "step": 711 + }, + { + "epoch": 0.15, + "learning_rate": 9.93921669730012e-06, + "loss": 2.6582, + "step": 712 + }, + { + "epoch": 0.15, + "learning_rate": 9.938643095931783e-06, + "loss": 2.6609, + "step": 713 + }, + { + "epoch": 0.15, + "learning_rate": 9.938066817478934e-06, + "loss": 2.6947, + "step": 714 + }, + { + "epoch": 0.15, + "learning_rate": 9.93748786225395e-06, + "loss": 2.6981, + "step": 715 + }, + { + "epoch": 0.15, + "learning_rate": 9.936906230570669e-06, + "loss": 2.7042, + "step": 716 + }, + { + "epoch": 0.15, + "learning_rate": 9.936321922744375e-06, + "loss": 2.6518, + "step": 717 + }, + { + "epoch": 0.15, + "learning_rate": 9.935734939091802e-06, + "loss": 2.66, + "step": 718 + }, + { + "epoch": 0.15, + "learning_rate": 9.935145279931134e-06, + "loss": 2.5882, + "step": 719 + }, + { + "epoch": 0.15, + "learning_rate": 9.93455294558201e-06, + "loss": 2.6442, + "step": 720 + }, + { + "epoch": 0.15, + "learning_rate": 9.933957936365515e-06, + "loss": 2.6967, + "step": 721 + }, + { + "epoch": 0.15, + "learning_rate": 9.933360252604183e-06, + "loss": 2.646, + "step": 722 + }, + { + "epoch": 0.15, + "learning_rate": 9.932759894622001e-06, + "loss": 2.6186, + "step": 723 + }, + { + "epoch": 0.15, + "learning_rate": 9.932156862744406e-06, + "loss": 2.707, + "step": 724 + }, + { + "epoch": 0.15, + "learning_rate": 9.93155115729828e-06, + "loss": 2.6289, + "step": 725 + }, + { + "epoch": 0.15, + "learning_rate": 9.93094277861196e-06, + "loss": 2.6607, + "step": 726 + }, + { + "epoch": 0.15, + "learning_rate": 9.930331727015228e-06, + "loss": 2.6396, + "step": 727 + }, + { + "epoch": 0.15, + "learning_rate": 9.929718002839312e-06, + "loss": 2.7165, + "step": 728 + }, + { + "epoch": 0.15, + "learning_rate": 9.9291016064169e-06, + "loss": 2.6432, + "step": 729 + }, + { + "epoch": 0.15, + "learning_rate": 9.928482538082115e-06, + "loss": 2.6646, + "step": 730 + }, + { + "epoch": 0.15, + "learning_rate": 9.92786079817054e-06, + "loss": 2.6502, + "step": 731 + }, + { + "epoch": 0.15, + "learning_rate": 9.927236387019197e-06, + "loss": 2.7286, + "step": 732 + }, + { + "epoch": 0.15, + "learning_rate": 9.92660930496656e-06, + "loss": 2.6722, + "step": 733 + }, + { + "epoch": 0.15, + "learning_rate": 9.925979552352552e-06, + "loss": 2.6559, + "step": 734 + }, + { + "epoch": 0.15, + "learning_rate": 9.92534712951854e-06, + "loss": 2.7649, + "step": 735 + }, + { + "epoch": 0.15, + "learning_rate": 9.924712036807345e-06, + "loss": 2.6487, + "step": 736 + }, + { + "epoch": 0.15, + "learning_rate": 9.924074274563229e-06, + "loss": 2.7249, + "step": 737 + }, + { + "epoch": 0.15, + "learning_rate": 9.9234338431319e-06, + "loss": 2.6991, + "step": 738 + }, + { + "epoch": 0.16, + "learning_rate": 9.922790742860521e-06, + "loss": 2.6463, + "step": 739 + }, + { + "epoch": 0.16, + "learning_rate": 9.922144974097693e-06, + "loss": 2.7253, + "step": 740 + }, + { + "epoch": 0.16, + "learning_rate": 9.921496537193468e-06, + "loss": 2.6831, + "step": 741 + }, + { + "epoch": 0.16, + "learning_rate": 9.920845432499344e-06, + "loss": 2.6772, + "step": 742 + }, + { + "epoch": 0.16, + "learning_rate": 9.920191660368264e-06, + "loss": 2.6567, + "step": 743 + }, + { + "epoch": 0.16, + "learning_rate": 9.919535221154617e-06, + "loss": 2.6318, + "step": 744 + }, + { + "epoch": 0.16, + "learning_rate": 9.91887611521424e-06, + "loss": 2.6613, + "step": 745 + }, + { + "epoch": 0.16, + "learning_rate": 9.918214342904412e-06, + "loss": 2.7093, + "step": 746 + }, + { + "epoch": 0.16, + "learning_rate": 9.917549904583859e-06, + "loss": 2.6743, + "step": 747 + }, + { + "epoch": 0.16, + "learning_rate": 9.916882800612756e-06, + "loss": 2.6549, + "step": 748 + }, + { + "epoch": 0.16, + "learning_rate": 9.916213031352713e-06, + "loss": 2.6564, + "step": 749 + }, + { + "epoch": 0.16, + "learning_rate": 9.915540597166798e-06, + "loss": 2.7102, + "step": 750 + }, + { + "epoch": 0.16, + "learning_rate": 9.91486549841951e-06, + "loss": 2.6298, + "step": 751 + }, + { + "epoch": 0.16, + "learning_rate": 9.914187735476804e-06, + "loss": 2.6669, + "step": 752 + }, + { + "epoch": 0.16, + "learning_rate": 9.91350730870607e-06, + "loss": 2.6795, + "step": 753 + }, + { + "epoch": 0.16, + "learning_rate": 9.912824218476152e-06, + "loss": 2.5918, + "step": 754 + }, + { + "epoch": 0.16, + "learning_rate": 9.912138465157325e-06, + "loss": 2.7281, + "step": 755 + }, + { + "epoch": 0.16, + "learning_rate": 9.911450049121319e-06, + "loss": 2.6799, + "step": 756 + }, + { + "epoch": 0.16, + "learning_rate": 9.910758970741301e-06, + "loss": 2.7054, + "step": 757 + }, + { + "epoch": 0.16, + "learning_rate": 9.910065230391885e-06, + "loss": 2.6397, + "step": 758 + }, + { + "epoch": 0.16, + "learning_rate": 9.909368828449125e-06, + "loss": 2.707, + "step": 759 + }, + { + "epoch": 0.16, + "learning_rate": 9.908669765290518e-06, + "loss": 2.6104, + "step": 760 + }, + { + "epoch": 0.16, + "learning_rate": 9.907968041295006e-06, + "loss": 2.6767, + "step": 761 + }, + { + "epoch": 0.16, + "learning_rate": 9.90726365684297e-06, + "loss": 2.6875, + "step": 762 + }, + { + "epoch": 0.16, + "learning_rate": 9.906556612316234e-06, + "loss": 2.6785, + "step": 763 + }, + { + "epoch": 0.16, + "learning_rate": 9.905846908098067e-06, + "loss": 2.6877, + "step": 764 + }, + { + "epoch": 0.16, + "learning_rate": 9.905134544573178e-06, + "loss": 2.7249, + "step": 765 + }, + { + "epoch": 0.16, + "learning_rate": 9.904419522127715e-06, + "loss": 2.6614, + "step": 766 + }, + { + "epoch": 0.16, + "learning_rate": 9.903701841149271e-06, + "loss": 2.6747, + "step": 767 + }, + { + "epoch": 0.16, + "learning_rate": 9.902981502026876e-06, + "loss": 2.7307, + "step": 768 + }, + { + "epoch": 0.16, + "learning_rate": 9.902258505151007e-06, + "loss": 2.6764, + "step": 769 + }, + { + "epoch": 0.16, + "learning_rate": 9.901532850913575e-06, + "loss": 2.6564, + "step": 770 + }, + { + "epoch": 0.16, + "learning_rate": 9.900804539707938e-06, + "loss": 2.6212, + "step": 771 + }, + { + "epoch": 0.16, + "learning_rate": 9.900073571928887e-06, + "loss": 2.6873, + "step": 772 + }, + { + "epoch": 0.16, + "learning_rate": 9.899339947972658e-06, + "loss": 2.7535, + "step": 773 + }, + { + "epoch": 0.16, + "learning_rate": 9.898603668236927e-06, + "loss": 2.6298, + "step": 774 + }, + { + "epoch": 0.16, + "learning_rate": 9.897864733120806e-06, + "loss": 2.6797, + "step": 775 + }, + { + "epoch": 0.16, + "learning_rate": 9.897123143024852e-06, + "loss": 2.6643, + "step": 776 + }, + { + "epoch": 0.16, + "learning_rate": 9.896378898351055e-06, + "loss": 2.7279, + "step": 777 + }, + { + "epoch": 0.16, + "learning_rate": 9.895631999502849e-06, + "loss": 2.6159, + "step": 778 + }, + { + "epoch": 0.16, + "learning_rate": 9.894882446885103e-06, + "loss": 2.6995, + "step": 779 + }, + { + "epoch": 0.16, + "learning_rate": 9.894130240904127e-06, + "loss": 2.6798, + "step": 780 + }, + { + "epoch": 0.16, + "learning_rate": 9.893375381967667e-06, + "loss": 2.7244, + "step": 781 + }, + { + "epoch": 0.16, + "learning_rate": 9.892617870484908e-06, + "loss": 2.6988, + "step": 782 + }, + { + "epoch": 0.16, + "learning_rate": 9.891857706866477e-06, + "loss": 2.7114, + "step": 783 + }, + { + "epoch": 0.16, + "learning_rate": 9.891094891524433e-06, + "loss": 2.6059, + "step": 784 + }, + { + "epoch": 0.16, + "learning_rate": 9.890329424872274e-06, + "loss": 2.7387, + "step": 785 + }, + { + "epoch": 0.16, + "learning_rate": 9.889561307324935e-06, + "loss": 2.6472, + "step": 786 + }, + { + "epoch": 0.17, + "learning_rate": 9.888790539298791e-06, + "loss": 2.6424, + "step": 787 + }, + { + "epoch": 0.17, + "learning_rate": 9.888017121211649e-06, + "loss": 2.753, + "step": 788 + }, + { + "epoch": 0.17, + "learning_rate": 9.887241053482756e-06, + "loss": 2.6747, + "step": 789 + }, + { + "epoch": 0.17, + "learning_rate": 9.886462336532794e-06, + "loss": 2.6989, + "step": 790 + }, + { + "epoch": 0.17, + "learning_rate": 9.88568097078388e-06, + "loss": 2.6322, + "step": 791 + }, + { + "epoch": 0.17, + "learning_rate": 9.88489695665957e-06, + "loss": 2.579, + "step": 792 + }, + { + "epoch": 0.17, + "learning_rate": 9.884110294584852e-06, + "loss": 2.6055, + "step": 793 + }, + { + "epoch": 0.17, + "learning_rate": 9.883320984986153e-06, + "loss": 2.6401, + "step": 794 + }, + { + "epoch": 0.17, + "learning_rate": 9.88252902829133e-06, + "loss": 2.6282, + "step": 795 + }, + { + "epoch": 0.17, + "learning_rate": 9.88173442492968e-06, + "loss": 2.6711, + "step": 796 + }, + { + "epoch": 0.17, + "learning_rate": 9.880937175331932e-06, + "loss": 2.7433, + "step": 797 + }, + { + "epoch": 0.17, + "learning_rate": 9.880137279930254e-06, + "loss": 2.679, + "step": 798 + }, + { + "epoch": 0.17, + "learning_rate": 9.879334739158238e-06, + "loss": 2.6852, + "step": 799 + }, + { + "epoch": 0.17, + "learning_rate": 9.87852955345092e-06, + "loss": 2.6377, + "step": 800 + }, + { + "epoch": 0.17, + "learning_rate": 9.877721723244765e-06, + "loss": 2.6461, + "step": 801 + }, + { + "epoch": 0.17, + "learning_rate": 9.876911248977675e-06, + "loss": 2.7077, + "step": 802 + }, + { + "epoch": 0.17, + "learning_rate": 9.876098131088979e-06, + "loss": 2.6791, + "step": 803 + }, + { + "epoch": 0.17, + "learning_rate": 9.875282370019446e-06, + "loss": 2.6315, + "step": 804 + }, + { + "epoch": 0.17, + "learning_rate": 9.874463966211271e-06, + "loss": 2.6531, + "step": 805 + }, + { + "epoch": 0.17, + "learning_rate": 9.87364292010809e-06, + "loss": 2.646, + "step": 806 + }, + { + "epoch": 0.17, + "learning_rate": 9.872819232154965e-06, + "loss": 2.6751, + "step": 807 + }, + { + "epoch": 0.17, + "learning_rate": 9.871992902798389e-06, + "loss": 2.644, + "step": 808 + }, + { + "epoch": 0.17, + "learning_rate": 9.871163932486291e-06, + "loss": 2.6786, + "step": 809 + }, + { + "epoch": 0.17, + "learning_rate": 9.87033232166803e-06, + "loss": 2.7003, + "step": 810 + }, + { + "epoch": 0.17, + "learning_rate": 9.869498070794396e-06, + "loss": 2.6262, + "step": 811 + }, + { + "epoch": 0.17, + "learning_rate": 9.868661180317613e-06, + "loss": 2.6974, + "step": 812 + }, + { + "epoch": 0.17, + "learning_rate": 9.86782165069133e-06, + "loss": 2.6105, + "step": 813 + }, + { + "epoch": 0.17, + "learning_rate": 9.86697948237063e-06, + "loss": 2.7062, + "step": 814 + }, + { + "epoch": 0.17, + "learning_rate": 9.866134675812027e-06, + "loss": 2.6741, + "step": 815 + }, + { + "epoch": 0.17, + "learning_rate": 9.865287231473465e-06, + "loss": 2.7176, + "step": 816 + }, + { + "epoch": 0.17, + "learning_rate": 9.864437149814317e-06, + "loss": 2.6928, + "step": 817 + }, + { + "epoch": 0.17, + "learning_rate": 9.863584431295385e-06, + "loss": 2.6548, + "step": 818 + }, + { + "epoch": 0.17, + "learning_rate": 9.862729076378901e-06, + "loss": 2.6644, + "step": 819 + }, + { + "epoch": 0.17, + "learning_rate": 9.861871085528527e-06, + "loss": 2.6325, + "step": 820 + }, + { + "epoch": 0.17, + "learning_rate": 9.861010459209353e-06, + "loss": 2.699, + "step": 821 + }, + { + "epoch": 0.17, + "learning_rate": 9.860147197887897e-06, + "loss": 2.6947, + "step": 822 + }, + { + "epoch": 0.17, + "learning_rate": 9.859281302032107e-06, + "loss": 2.7095, + "step": 823 + }, + { + "epoch": 0.17, + "learning_rate": 9.858412772111358e-06, + "loss": 2.6345, + "step": 824 + }, + { + "epoch": 0.17, + "learning_rate": 9.857541608596453e-06, + "loss": 2.7162, + "step": 825 + }, + { + "epoch": 0.17, + "learning_rate": 9.85666781195962e-06, + "loss": 2.6549, + "step": 826 + }, + { + "epoch": 0.17, + "learning_rate": 9.85579138267452e-06, + "loss": 2.6238, + "step": 827 + }, + { + "epoch": 0.17, + "learning_rate": 9.85491232121624e-06, + "loss": 2.6419, + "step": 828 + }, + { + "epoch": 0.17, + "learning_rate": 9.854030628061286e-06, + "loss": 2.6017, + "step": 829 + }, + { + "epoch": 0.17, + "learning_rate": 9.853146303687602e-06, + "loss": 2.7023, + "step": 830 + }, + { + "epoch": 0.17, + "learning_rate": 9.85225934857455e-06, + "loss": 2.5757, + "step": 831 + }, + { + "epoch": 0.17, + "learning_rate": 9.851369763202919e-06, + "loss": 2.6746, + "step": 832 + }, + { + "epoch": 0.17, + "learning_rate": 9.850477548054927e-06, + "loss": 2.6571, + "step": 833 + }, + { + "epoch": 0.17, + "learning_rate": 9.849582703614218e-06, + "loss": 2.6631, + "step": 834 + }, + { + "epoch": 0.18, + "learning_rate": 9.848685230365857e-06, + "loss": 2.5819, + "step": 835 + }, + { + "epoch": 0.18, + "learning_rate": 9.847785128796337e-06, + "loss": 2.6669, + "step": 836 + }, + { + "epoch": 0.18, + "learning_rate": 9.846882399393575e-06, + "loss": 2.7268, + "step": 837 + }, + { + "epoch": 0.18, + "learning_rate": 9.845977042646912e-06, + "loss": 2.637, + "step": 838 + }, + { + "epoch": 0.18, + "learning_rate": 9.845069059047114e-06, + "loss": 2.6914, + "step": 839 + }, + { + "epoch": 0.18, + "learning_rate": 9.844158449086372e-06, + "loss": 2.648, + "step": 840 + }, + { + "epoch": 0.18, + "learning_rate": 9.843245213258297e-06, + "loss": 2.661, + "step": 841 + }, + { + "epoch": 0.18, + "learning_rate": 9.842329352057928e-06, + "loss": 2.653, + "step": 842 + }, + { + "epoch": 0.18, + "learning_rate": 9.841410865981722e-06, + "loss": 2.5952, + "step": 843 + }, + { + "epoch": 0.18, + "learning_rate": 9.840489755527565e-06, + "loss": 2.5974, + "step": 844 + }, + { + "epoch": 0.18, + "learning_rate": 9.839566021194758e-06, + "loss": 2.697, + "step": 845 + }, + { + "epoch": 0.18, + "learning_rate": 9.838639663484032e-06, + "loss": 2.6273, + "step": 846 + }, + { + "epoch": 0.18, + "learning_rate": 9.837710682897537e-06, + "loss": 2.6454, + "step": 847 + }, + { + "epoch": 0.18, + "learning_rate": 9.836779079938842e-06, + "loss": 2.7148, + "step": 848 + }, + { + "epoch": 0.18, + "learning_rate": 9.835844855112942e-06, + "loss": 2.6381, + "step": 849 + }, + { + "epoch": 0.18, + "learning_rate": 9.83490800892625e-06, + "loss": 2.6652, + "step": 850 + }, + { + "epoch": 0.18, + "learning_rate": 9.8339685418866e-06, + "loss": 2.6381, + "step": 851 + }, + { + "epoch": 0.18, + "learning_rate": 9.83302645450325e-06, + "loss": 2.6804, + "step": 852 + }, + { + "epoch": 0.18, + "learning_rate": 9.832081747286876e-06, + "loss": 2.6764, + "step": 853 + }, + { + "epoch": 0.18, + "learning_rate": 9.831134420749572e-06, + "loss": 2.6194, + "step": 854 + }, + { + "epoch": 0.18, + "learning_rate": 9.830184475404859e-06, + "loss": 2.7554, + "step": 855 + }, + { + "epoch": 0.18, + "learning_rate": 9.829231911767666e-06, + "loss": 2.6379, + "step": 856 + }, + { + "epoch": 0.18, + "learning_rate": 9.828276730354353e-06, + "loss": 2.7145, + "step": 857 + }, + { + "epoch": 0.18, + "learning_rate": 9.827318931682695e-06, + "loss": 2.7354, + "step": 858 + }, + { + "epoch": 0.18, + "learning_rate": 9.826358516271878e-06, + "loss": 2.629, + "step": 859 + }, + { + "epoch": 0.18, + "learning_rate": 9.825395484642522e-06, + "loss": 2.7006, + "step": 860 + }, + { + "epoch": 0.18, + "learning_rate": 9.82442983731665e-06, + "loss": 2.6887, + "step": 861 + }, + { + "epoch": 0.18, + "learning_rate": 9.823461574817714e-06, + "loss": 2.6327, + "step": 862 + }, + { + "epoch": 0.18, + "learning_rate": 9.822490697670575e-06, + "loss": 2.6737, + "step": 863 + }, + { + "epoch": 0.18, + "learning_rate": 9.821517206401518e-06, + "loss": 2.692, + "step": 864 + }, + { + "epoch": 0.18, + "learning_rate": 9.82054110153824e-06, + "loss": 2.637, + "step": 865 + }, + { + "epoch": 0.18, + "learning_rate": 9.819562383609857e-06, + "loss": 2.6317, + "step": 866 + }, + { + "epoch": 0.18, + "learning_rate": 9.818581053146905e-06, + "loss": 2.652, + "step": 867 + }, + { + "epoch": 0.18, + "learning_rate": 9.81759711068133e-06, + "loss": 2.6783, + "step": 868 + }, + { + "epoch": 0.18, + "learning_rate": 9.816610556746495e-06, + "loss": 2.705, + "step": 869 + }, + { + "epoch": 0.18, + "learning_rate": 9.815621391877183e-06, + "loss": 2.695, + "step": 870 + }, + { + "epoch": 0.18, + "learning_rate": 9.814629616609587e-06, + "loss": 2.7196, + "step": 871 + }, + { + "epoch": 0.18, + "learning_rate": 9.81363523148132e-06, + "loss": 2.6247, + "step": 872 + }, + { + "epoch": 0.18, + "learning_rate": 9.812638237031407e-06, + "loss": 2.7296, + "step": 873 + }, + { + "epoch": 0.18, + "learning_rate": 9.811638633800287e-06, + "loss": 2.7194, + "step": 874 + }, + { + "epoch": 0.18, + "learning_rate": 9.810636422329812e-06, + "loss": 2.7059, + "step": 875 + }, + { + "epoch": 0.18, + "learning_rate": 9.80963160316325e-06, + "loss": 2.6474, + "step": 876 + }, + { + "epoch": 0.18, + "learning_rate": 9.808624176845286e-06, + "loss": 2.7137, + "step": 877 + }, + { + "epoch": 0.18, + "learning_rate": 9.807614143922012e-06, + "loss": 2.6225, + "step": 878 + }, + { + "epoch": 0.18, + "learning_rate": 9.80660150494093e-06, + "loss": 2.6435, + "step": 879 + }, + { + "epoch": 0.18, + "learning_rate": 9.805586260450969e-06, + "loss": 2.6129, + "step": 880 + }, + { + "epoch": 0.18, + "learning_rate": 9.804568411002458e-06, + "loss": 2.6598, + "step": 881 + }, + { + "epoch": 0.19, + "learning_rate": 9.80354795714714e-06, + "loss": 2.7743, + "step": 882 + }, + { + "epoch": 0.19, + "learning_rate": 9.802524899438171e-06, + "loss": 2.6063, + "step": 883 + }, + { + "epoch": 0.19, + "learning_rate": 9.801499238430118e-06, + "loss": 2.6964, + "step": 884 + }, + { + "epoch": 0.19, + "learning_rate": 9.800470974678966e-06, + "loss": 2.6548, + "step": 885 + }, + { + "epoch": 0.19, + "learning_rate": 9.799440108742097e-06, + "loss": 2.624, + "step": 886 + }, + { + "epoch": 0.19, + "learning_rate": 9.798406641178317e-06, + "loss": 2.5838, + "step": 887 + }, + { + "epoch": 0.19, + "learning_rate": 9.797370572547835e-06, + "loss": 2.6342, + "step": 888 + }, + { + "epoch": 0.19, + "learning_rate": 9.796331903412268e-06, + "loss": 2.7021, + "step": 889 + }, + { + "epoch": 0.19, + "learning_rate": 9.795290634334651e-06, + "loss": 2.7334, + "step": 890 + }, + { + "epoch": 0.19, + "learning_rate": 9.794246765879421e-06, + "loss": 2.6683, + "step": 891 + }, + { + "epoch": 0.19, + "learning_rate": 9.793200298612426e-06, + "loss": 2.5763, + "step": 892 + }, + { + "epoch": 0.19, + "learning_rate": 9.792151233100926e-06, + "loss": 2.6234, + "step": 893 + }, + { + "epoch": 0.19, + "learning_rate": 9.791099569913585e-06, + "loss": 2.6509, + "step": 894 + }, + { + "epoch": 0.19, + "learning_rate": 9.790045309620476e-06, + "loss": 2.6701, + "step": 895 + }, + { + "epoch": 0.19, + "learning_rate": 9.78898845279308e-06, + "loss": 2.6649, + "step": 896 + }, + { + "epoch": 0.19, + "learning_rate": 9.78792900000429e-06, + "loss": 2.6946, + "step": 897 + }, + { + "epoch": 0.19, + "learning_rate": 9.7868669518284e-06, + "loss": 2.6601, + "step": 898 + }, + { + "epoch": 0.19, + "learning_rate": 9.785802308841112e-06, + "loss": 2.6969, + "step": 899 + }, + { + "epoch": 0.19, + "learning_rate": 9.784735071619538e-06, + "loss": 2.6373, + "step": 900 + }, + { + "epoch": 0.19, + "learning_rate": 9.783665240742193e-06, + "loss": 2.7593, + "step": 901 + }, + { + "epoch": 0.19, + "learning_rate": 9.782592816788999e-06, + "loss": 2.6462, + "step": 902 + }, + { + "epoch": 0.19, + "learning_rate": 9.781517800341282e-06, + "loss": 2.7157, + "step": 903 + }, + { + "epoch": 0.19, + "learning_rate": 9.780440191981779e-06, + "loss": 2.6829, + "step": 904 + }, + { + "epoch": 0.19, + "learning_rate": 9.779359992294625e-06, + "loss": 2.6541, + "step": 905 + }, + { + "epoch": 0.19, + "learning_rate": 9.778277201865363e-06, + "loss": 2.7344, + "step": 906 + }, + { + "epoch": 0.19, + "learning_rate": 9.777191821280939e-06, + "loss": 2.6226, + "step": 907 + }, + { + "epoch": 0.19, + "learning_rate": 9.776103851129706e-06, + "loss": 2.6567, + "step": 908 + }, + { + "epoch": 0.19, + "learning_rate": 9.775013292001418e-06, + "loss": 2.6588, + "step": 909 + }, + { + "epoch": 0.19, + "learning_rate": 9.773920144487232e-06, + "loss": 2.7051, + "step": 910 + }, + { + "epoch": 0.19, + "learning_rate": 9.77282440917971e-06, + "loss": 2.6446, + "step": 911 + }, + { + "epoch": 0.19, + "learning_rate": 9.771726086672815e-06, + "loss": 2.6279, + "step": 912 + }, + { + "epoch": 0.19, + "learning_rate": 9.770625177561917e-06, + "loss": 2.6293, + "step": 913 + }, + { + "epoch": 0.19, + "learning_rate": 9.76952168244378e-06, + "loss": 2.6959, + "step": 914 + }, + { + "epoch": 0.19, + "learning_rate": 9.768415601916577e-06, + "loss": 2.5996, + "step": 915 + }, + { + "epoch": 0.19, + "learning_rate": 9.767306936579878e-06, + "loss": 2.6106, + "step": 916 + }, + { + "epoch": 0.19, + "learning_rate": 9.766195687034659e-06, + "loss": 2.6407, + "step": 917 + }, + { + "epoch": 0.19, + "learning_rate": 9.765081853883291e-06, + "loss": 2.6855, + "step": 918 + }, + { + "epoch": 0.19, + "learning_rate": 9.763965437729549e-06, + "loss": 2.727, + "step": 919 + }, + { + "epoch": 0.19, + "learning_rate": 9.762846439178606e-06, + "loss": 2.6026, + "step": 920 + }, + { + "epoch": 0.19, + "learning_rate": 9.761724858837038e-06, + "loss": 2.6329, + "step": 921 + }, + { + "epoch": 0.19, + "learning_rate": 9.760600697312819e-06, + "loss": 2.6748, + "step": 922 + }, + { + "epoch": 0.19, + "learning_rate": 9.75947395521532e-06, + "loss": 2.6644, + "step": 923 + }, + { + "epoch": 0.19, + "learning_rate": 9.758344633155315e-06, + "loss": 2.6896, + "step": 924 + }, + { + "epoch": 0.19, + "learning_rate": 9.757212731744973e-06, + "loss": 2.6596, + "step": 925 + }, + { + "epoch": 0.19, + "learning_rate": 9.756078251597865e-06, + "loss": 2.6757, + "step": 926 + }, + { + "epoch": 0.19, + "learning_rate": 9.754941193328952e-06, + "loss": 2.6393, + "step": 927 + }, + { + "epoch": 0.19, + "learning_rate": 9.753801557554603e-06, + "loss": 2.6688, + "step": 928 + }, + { + "epoch": 0.19, + "learning_rate": 9.752659344892577e-06, + "loss": 2.7376, + "step": 929 + }, + { + "epoch": 0.2, + "learning_rate": 9.751514555962031e-06, + "loss": 2.6297, + "step": 930 + }, + { + "epoch": 0.2, + "learning_rate": 9.75036719138352e-06, + "loss": 2.6627, + "step": 931 + }, + { + "epoch": 0.2, + "learning_rate": 9.749217251778995e-06, + "loss": 2.5834, + "step": 932 + }, + { + "epoch": 0.2, + "learning_rate": 9.748064737771803e-06, + "loss": 2.7172, + "step": 933 + }, + { + "epoch": 0.2, + "learning_rate": 9.746909649986686e-06, + "loss": 2.7633, + "step": 934 + }, + { + "epoch": 0.2, + "learning_rate": 9.74575198904978e-06, + "loss": 2.6956, + "step": 935 + }, + { + "epoch": 0.2, + "learning_rate": 9.744591755588616e-06, + "loss": 2.6686, + "step": 936 + }, + { + "epoch": 0.2, + "learning_rate": 9.743428950232123e-06, + "loss": 2.6475, + "step": 937 + }, + { + "epoch": 0.2, + "learning_rate": 9.742263573610619e-06, + "loss": 2.712, + "step": 938 + }, + { + "epoch": 0.2, + "learning_rate": 9.741095626355821e-06, + "loss": 2.7092, + "step": 939 + }, + { + "epoch": 0.2, + "learning_rate": 9.739925109100833e-06, + "loss": 2.7283, + "step": 940 + }, + { + "epoch": 0.2, + "learning_rate": 9.73875202248016e-06, + "loss": 2.7407, + "step": 941 + }, + { + "epoch": 0.2, + "learning_rate": 9.737576367129694e-06, + "loss": 2.6772, + "step": 942 + }, + { + "epoch": 0.2, + "learning_rate": 9.736398143686722e-06, + "loss": 2.6633, + "step": 943 + }, + { + "epoch": 0.2, + "learning_rate": 9.735217352789922e-06, + "loss": 2.5841, + "step": 944 + }, + { + "epoch": 0.2, + "learning_rate": 9.734033995079359e-06, + "loss": 2.6982, + "step": 945 + }, + { + "epoch": 0.2, + "learning_rate": 9.732848071196503e-06, + "loss": 2.6602, + "step": 946 + }, + { + "epoch": 0.2, + "learning_rate": 9.7316595817842e-06, + "loss": 2.6849, + "step": 947 + }, + { + "epoch": 0.2, + "learning_rate": 9.730468527486695e-06, + "loss": 2.6372, + "step": 948 + }, + { + "epoch": 0.2, + "learning_rate": 9.729274908949622e-06, + "loss": 2.7147, + "step": 949 + }, + { + "epoch": 0.2, + "learning_rate": 9.728078726820003e-06, + "loss": 2.7381, + "step": 950 + }, + { + "epoch": 0.2, + "learning_rate": 9.726879981746254e-06, + "loss": 2.6167, + "step": 951 + }, + { + "epoch": 0.2, + "learning_rate": 9.725678674378173e-06, + "loss": 2.6673, + "step": 952 + }, + { + "epoch": 0.2, + "learning_rate": 9.724474805366955e-06, + "loss": 2.6778, + "step": 953 + }, + { + "epoch": 0.2, + "learning_rate": 9.723268375365178e-06, + "loss": 2.6643, + "step": 954 + }, + { + "epoch": 0.2, + "learning_rate": 9.722059385026811e-06, + "loss": 2.6372, + "step": 955 + }, + { + "epoch": 0.2, + "learning_rate": 9.72084783500721e-06, + "loss": 2.6668, + "step": 956 + }, + { + "epoch": 0.2, + "learning_rate": 9.719633725963116e-06, + "loss": 2.6497, + "step": 957 + }, + { + "epoch": 0.2, + "learning_rate": 9.718417058552663e-06, + "loss": 2.6686, + "step": 958 + }, + { + "epoch": 0.2, + "learning_rate": 9.717197833435367e-06, + "loss": 2.6412, + "step": 959 + }, + { + "epoch": 0.2, + "learning_rate": 9.715976051272132e-06, + "loss": 2.684, + "step": 960 + }, + { + "epoch": 0.2, + "learning_rate": 9.71475171272525e-06, + "loss": 2.7038, + "step": 961 + }, + { + "epoch": 0.2, + "learning_rate": 9.713524818458392e-06, + "loss": 2.6615, + "step": 962 + }, + { + "epoch": 0.2, + "learning_rate": 9.712295369136625e-06, + "loss": 2.7222, + "step": 963 + }, + { + "epoch": 0.2, + "learning_rate": 9.71106336542639e-06, + "loss": 2.6829, + "step": 964 + }, + { + "epoch": 0.2, + "learning_rate": 9.709828807995521e-06, + "loss": 2.6574, + "step": 965 + }, + { + "epoch": 0.2, + "learning_rate": 9.708591697513232e-06, + "loss": 2.6881, + "step": 966 + }, + { + "epoch": 0.2, + "learning_rate": 9.707352034650124e-06, + "loss": 2.6428, + "step": 967 + }, + { + "epoch": 0.2, + "learning_rate": 9.706109820078175e-06, + "loss": 2.6831, + "step": 968 + }, + { + "epoch": 0.2, + "learning_rate": 9.704865054470756e-06, + "loss": 2.6309, + "step": 969 + }, + { + "epoch": 0.2, + "learning_rate": 9.703617738502612e-06, + "loss": 2.6717, + "step": 970 + }, + { + "epoch": 0.2, + "learning_rate": 9.702367872849876e-06, + "loss": 2.6364, + "step": 971 + }, + { + "epoch": 0.2, + "learning_rate": 9.70111545819006e-06, + "loss": 2.6372, + "step": 972 + }, + { + "epoch": 0.2, + "learning_rate": 9.69986049520206e-06, + "loss": 2.7017, + "step": 973 + }, + { + "epoch": 0.2, + "learning_rate": 9.698602984566152e-06, + "loss": 2.6589, + "step": 974 + }, + { + "epoch": 0.2, + "learning_rate": 9.697342926963993e-06, + "loss": 2.6448, + "step": 975 + }, + { + "epoch": 0.2, + "learning_rate": 9.696080323078621e-06, + "loss": 2.5887, + "step": 976 + }, + { + "epoch": 0.2, + "learning_rate": 9.694815173594456e-06, + "loss": 2.6281, + "step": 977 + }, + { + "epoch": 0.21, + "learning_rate": 9.693547479197292e-06, + "loss": 2.5573, + "step": 978 + }, + { + "epoch": 0.21, + "learning_rate": 9.692277240574312e-06, + "loss": 2.7424, + "step": 979 + }, + { + "epoch": 0.21, + "learning_rate": 9.691004458414069e-06, + "loss": 2.6666, + "step": 980 + }, + { + "epoch": 0.21, + "learning_rate": 9.689729133406497e-06, + "loss": 2.636, + "step": 981 + }, + { + "epoch": 0.21, + "learning_rate": 9.688451266242916e-06, + "loss": 2.6554, + "step": 982 + }, + { + "epoch": 0.21, + "learning_rate": 9.687170857616011e-06, + "loss": 2.7156, + "step": 983 + }, + { + "epoch": 0.21, + "learning_rate": 9.685887908219857e-06, + "loss": 2.6373, + "step": 984 + }, + { + "epoch": 0.21, + "learning_rate": 9.6846024187499e-06, + "loss": 2.6675, + "step": 985 + }, + { + "epoch": 0.21, + "learning_rate": 9.68331438990296e-06, + "loss": 2.6659, + "step": 986 + }, + { + "epoch": 0.21, + "learning_rate": 9.682023822377242e-06, + "loss": 2.6141, + "step": 987 + }, + { + "epoch": 0.21, + "learning_rate": 9.680730716872319e-06, + "loss": 2.6629, + "step": 988 + }, + { + "epoch": 0.21, + "learning_rate": 9.679435074089145e-06, + "loss": 2.696, + "step": 989 + }, + { + "epoch": 0.21, + "learning_rate": 9.678136894730048e-06, + "loss": 2.6676, + "step": 990 + }, + { + "epoch": 0.21, + "learning_rate": 9.67683617949873e-06, + "loss": 2.6932, + "step": 991 + }, + { + "epoch": 0.21, + "learning_rate": 9.675532929100267e-06, + "loss": 2.671, + "step": 992 + }, + { + "epoch": 0.21, + "learning_rate": 9.67422714424111e-06, + "loss": 2.5941, + "step": 993 + }, + { + "epoch": 0.21, + "learning_rate": 9.672918825629088e-06, + "loss": 2.6831, + "step": 994 + }, + { + "epoch": 0.21, + "learning_rate": 9.671607973973396e-06, + "loss": 2.7121, + "step": 995 + }, + { + "epoch": 0.21, + "learning_rate": 9.670294589984607e-06, + "loss": 2.5796, + "step": 996 + }, + { + "epoch": 0.21, + "learning_rate": 9.668978674374668e-06, + "loss": 2.666, + "step": 997 + }, + { + "epoch": 0.21, + "learning_rate": 9.667660227856892e-06, + "loss": 2.6841, + "step": 998 + }, + { + "epoch": 0.21, + "learning_rate": 9.666339251145968e-06, + "loss": 2.6162, + "step": 999 + }, + { + "epoch": 0.21, + "learning_rate": 9.66501574495796e-06, + "loss": 2.7382, + "step": 1000 + }, + { + "epoch": 0.21, + "learning_rate": 9.663689710010296e-06, + "loss": 2.6679, + "step": 1001 + }, + { + "epoch": 0.21, + "learning_rate": 9.66236114702178e-06, + "loss": 2.6478, + "step": 1002 + }, + { + "epoch": 0.21, + "learning_rate": 9.661030056712584e-06, + "loss": 2.7375, + "step": 1003 + }, + { + "epoch": 0.21, + "learning_rate": 9.659696439804249e-06, + "loss": 2.6908, + "step": 1004 + }, + { + "epoch": 0.21, + "learning_rate": 9.65836029701969e-06, + "loss": 2.6058, + "step": 1005 + }, + { + "epoch": 0.21, + "learning_rate": 9.657021629083188e-06, + "loss": 2.7222, + "step": 1006 + }, + { + "epoch": 0.21, + "learning_rate": 9.655680436720389e-06, + "loss": 2.6715, + "step": 1007 + }, + { + "epoch": 0.21, + "learning_rate": 9.654336720658317e-06, + "loss": 2.7342, + "step": 1008 + }, + { + "epoch": 0.21, + "learning_rate": 9.652990481625358e-06, + "loss": 2.7161, + "step": 1009 + }, + { + "epoch": 0.21, + "learning_rate": 9.651641720351262e-06, + "loss": 2.5814, + "step": 1010 + }, + { + "epoch": 0.21, + "learning_rate": 9.650290437567153e-06, + "loss": 2.6689, + "step": 1011 + }, + { + "epoch": 0.21, + "learning_rate": 9.648936634005522e-06, + "loss": 2.6103, + "step": 1012 + }, + { + "epoch": 0.21, + "learning_rate": 9.647580310400217e-06, + "loss": 2.6463, + "step": 1013 + }, + { + "epoch": 0.21, + "learning_rate": 9.646221467486466e-06, + "loss": 2.68, + "step": 1014 + }, + { + "epoch": 0.21, + "learning_rate": 9.644860106000851e-06, + "loss": 2.646, + "step": 1015 + }, + { + "epoch": 0.21, + "learning_rate": 9.643496226681325e-06, + "loss": 2.6616, + "step": 1016 + }, + { + "epoch": 0.21, + "learning_rate": 9.642129830267205e-06, + "loss": 2.7115, + "step": 1017 + }, + { + "epoch": 0.21, + "learning_rate": 9.640760917499171e-06, + "loss": 2.69, + "step": 1018 + }, + { + "epoch": 0.21, + "learning_rate": 9.639389489119268e-06, + "loss": 2.6554, + "step": 1019 + }, + { + "epoch": 0.21, + "learning_rate": 9.638015545870906e-06, + "loss": 2.6632, + "step": 1020 + }, + { + "epoch": 0.21, + "learning_rate": 9.636639088498853e-06, + "loss": 2.6849, + "step": 1021 + }, + { + "epoch": 0.21, + "learning_rate": 9.635260117749248e-06, + "loss": 2.6168, + "step": 1022 + }, + { + "epoch": 0.21, + "learning_rate": 9.633878634369587e-06, + "loss": 2.6728, + "step": 1023 + }, + { + "epoch": 0.21, + "learning_rate": 9.632494639108727e-06, + "loss": 2.7434, + "step": 1024 + }, + { + "epoch": 0.22, + "learning_rate": 9.631108132716892e-06, + "loss": 2.7254, + "step": 1025 + }, + { + "epoch": 0.22, + "learning_rate": 9.62971911594566e-06, + "loss": 2.6336, + "step": 1026 + }, + { + "epoch": 0.22, + "learning_rate": 9.628327589547977e-06, + "loss": 2.6592, + "step": 1027 + }, + { + "epoch": 0.22, + "learning_rate": 9.626933554278143e-06, + "loss": 2.7374, + "step": 1028 + }, + { + "epoch": 0.22, + "learning_rate": 9.625537010891826e-06, + "loss": 2.5934, + "step": 1029 + }, + { + "epoch": 0.22, + "learning_rate": 9.624137960146043e-06, + "loss": 2.6488, + "step": 1030 + }, + { + "epoch": 0.22, + "learning_rate": 9.622736402799178e-06, + "loss": 2.6303, + "step": 1031 + }, + { + "epoch": 0.22, + "learning_rate": 9.621332339610974e-06, + "loss": 2.6611, + "step": 1032 + }, + { + "epoch": 0.22, + "learning_rate": 9.619925771342526e-06, + "loss": 2.6136, + "step": 1033 + }, + { + "epoch": 0.22, + "learning_rate": 9.618516698756294e-06, + "loss": 2.6279, + "step": 1034 + }, + { + "epoch": 0.22, + "learning_rate": 9.61710512261609e-06, + "loss": 2.6247, + "step": 1035 + }, + { + "epoch": 0.22, + "learning_rate": 9.615691043687087e-06, + "loss": 2.661, + "step": 1036 + }, + { + "epoch": 0.22, + "learning_rate": 9.614274462735813e-06, + "loss": 2.6896, + "step": 1037 + }, + { + "epoch": 0.22, + "learning_rate": 9.612855380530152e-06, + "loss": 2.6428, + "step": 1038 + }, + { + "epoch": 0.22, + "learning_rate": 9.611433797839342e-06, + "loss": 2.6502, + "step": 1039 + }, + { + "epoch": 0.22, + "learning_rate": 9.610009715433983e-06, + "loss": 2.752, + "step": 1040 + }, + { + "epoch": 0.22, + "learning_rate": 9.608583134086022e-06, + "loss": 2.667, + "step": 1041 + }, + { + "epoch": 0.22, + "learning_rate": 9.607154054568769e-06, + "loss": 2.6508, + "step": 1042 + }, + { + "epoch": 0.22, + "learning_rate": 9.605722477656877e-06, + "loss": 2.6586, + "step": 1043 + }, + { + "epoch": 0.22, + "learning_rate": 9.604288404126362e-06, + "loss": 2.7044, + "step": 1044 + }, + { + "epoch": 0.22, + "learning_rate": 9.602851834754593e-06, + "loss": 2.5892, + "step": 1045 + }, + { + "epoch": 0.22, + "learning_rate": 9.601412770320289e-06, + "loss": 2.6598, + "step": 1046 + }, + { + "epoch": 0.22, + "learning_rate": 9.599971211603518e-06, + "loss": 2.7162, + "step": 1047 + }, + { + "epoch": 0.22, + "learning_rate": 9.598527159385707e-06, + "loss": 2.7152, + "step": 1048 + }, + { + "epoch": 0.22, + "learning_rate": 9.597080614449632e-06, + "loss": 2.7647, + "step": 1049 + }, + { + "epoch": 0.22, + "learning_rate": 9.595631577579419e-06, + "loss": 2.6483, + "step": 1050 + }, + { + "epoch": 0.22, + "learning_rate": 9.594180049560546e-06, + "loss": 2.6793, + "step": 1051 + }, + { + "epoch": 0.22, + "learning_rate": 9.59272603117984e-06, + "loss": 2.6876, + "step": 1052 + }, + { + "epoch": 0.22, + "learning_rate": 9.591269523225482e-06, + "loss": 2.6711, + "step": 1053 + }, + { + "epoch": 0.22, + "learning_rate": 9.589810526486996e-06, + "loss": 2.6958, + "step": 1054 + }, + { + "epoch": 0.22, + "learning_rate": 9.588349041755262e-06, + "loss": 2.7, + "step": 1055 + }, + { + "epoch": 0.22, + "learning_rate": 9.586885069822502e-06, + "loss": 2.5865, + "step": 1056 + }, + { + "epoch": 0.22, + "learning_rate": 9.585418611482293e-06, + "loss": 2.7251, + "step": 1057 + }, + { + "epoch": 0.22, + "learning_rate": 9.583949667529553e-06, + "loss": 2.6949, + "step": 1058 + }, + { + "epoch": 0.22, + "learning_rate": 9.582478238760553e-06, + "loss": 2.6492, + "step": 1059 + }, + { + "epoch": 0.22, + "learning_rate": 9.58100432597291e-06, + "loss": 2.6714, + "step": 1060 + }, + { + "epoch": 0.22, + "learning_rate": 9.579527929965581e-06, + "loss": 2.6474, + "step": 1061 + }, + { + "epoch": 0.22, + "learning_rate": 9.57804905153888e-06, + "loss": 2.6433, + "step": 1062 + }, + { + "epoch": 0.22, + "learning_rate": 9.576567691494456e-06, + "loss": 2.674, + "step": 1063 + }, + { + "epoch": 0.22, + "learning_rate": 9.575083850635312e-06, + "loss": 2.6849, + "step": 1064 + }, + { + "epoch": 0.22, + "learning_rate": 9.57359752976579e-06, + "loss": 2.6469, + "step": 1065 + }, + { + "epoch": 0.22, + "learning_rate": 9.572108729691579e-06, + "loss": 2.6795, + "step": 1066 + }, + { + "epoch": 0.22, + "learning_rate": 9.57061745121971e-06, + "loss": 2.6828, + "step": 1067 + }, + { + "epoch": 0.22, + "learning_rate": 9.569123695158562e-06, + "loss": 2.6437, + "step": 1068 + }, + { + "epoch": 0.22, + "learning_rate": 9.567627462317847e-06, + "loss": 2.643, + "step": 1069 + }, + { + "epoch": 0.22, + "learning_rate": 9.566128753508632e-06, + "loss": 2.7366, + "step": 1070 + }, + { + "epoch": 0.22, + "learning_rate": 9.56462756954332e-06, + "loss": 2.5876, + "step": 1071 + }, + { + "epoch": 0.22, + "learning_rate": 9.563123911235652e-06, + "loss": 2.6645, + "step": 1072 + }, + { + "epoch": 0.23, + "learning_rate": 9.561617779400719e-06, + "loss": 2.6117, + "step": 1073 + }, + { + "epoch": 0.23, + "learning_rate": 9.560109174854944e-06, + "loss": 2.6408, + "step": 1074 + }, + { + "epoch": 0.23, + "learning_rate": 9.558598098416097e-06, + "loss": 2.712, + "step": 1075 + }, + { + "epoch": 0.23, + "learning_rate": 9.557084550903287e-06, + "loss": 2.7234, + "step": 1076 + }, + { + "epoch": 0.23, + "learning_rate": 9.555568533136956e-06, + "loss": 2.6665, + "step": 1077 + }, + { + "epoch": 0.23, + "learning_rate": 9.554050045938893e-06, + "loss": 2.7037, + "step": 1078 + }, + { + "epoch": 0.23, + "learning_rate": 9.552529090132223e-06, + "loss": 2.667, + "step": 1079 + }, + { + "epoch": 0.23, + "learning_rate": 9.551005666541408e-06, + "loss": 2.6959, + "step": 1080 + }, + { + "epoch": 0.23, + "learning_rate": 9.54947977599225e-06, + "loss": 2.6319, + "step": 1081 + }, + { + "epoch": 0.23, + "learning_rate": 9.547951419311885e-06, + "loss": 2.6353, + "step": 1082 + }, + { + "epoch": 0.23, + "learning_rate": 9.546420597328787e-06, + "loss": 2.6748, + "step": 1083 + }, + { + "epoch": 0.23, + "learning_rate": 9.544887310872767e-06, + "loss": 2.6521, + "step": 1084 + }, + { + "epoch": 0.23, + "learning_rate": 9.543351560774976e-06, + "loss": 2.6827, + "step": 1085 + }, + { + "epoch": 0.23, + "learning_rate": 9.54181334786789e-06, + "loss": 2.6457, + "step": 1086 + }, + { + "epoch": 0.23, + "learning_rate": 9.54027267298533e-06, + "loss": 2.6505, + "step": 1087 + }, + { + "epoch": 0.23, + "learning_rate": 9.538729536962446e-06, + "loss": 2.6202, + "step": 1088 + }, + { + "epoch": 0.23, + "learning_rate": 9.537183940635725e-06, + "loss": 2.6764, + "step": 1089 + }, + { + "epoch": 0.23, + "learning_rate": 9.535635884842988e-06, + "loss": 2.6935, + "step": 1090 + }, + { + "epoch": 0.23, + "learning_rate": 9.534085370423384e-06, + "loss": 2.608, + "step": 1091 + }, + { + "epoch": 0.23, + "learning_rate": 9.532532398217403e-06, + "loss": 2.6708, + "step": 1092 + }, + { + "epoch": 0.23, + "learning_rate": 9.530976969066861e-06, + "loss": 2.695, + "step": 1093 + }, + { + "epoch": 0.23, + "learning_rate": 9.529419083814905e-06, + "loss": 2.664, + "step": 1094 + }, + { + "epoch": 0.23, + "learning_rate": 9.52785874330602e-06, + "loss": 2.6161, + "step": 1095 + }, + { + "epoch": 0.23, + "learning_rate": 9.526295948386017e-06, + "loss": 2.7192, + "step": 1096 + }, + { + "epoch": 0.23, + "learning_rate": 9.524730699902036e-06, + "loss": 2.7253, + "step": 1097 + }, + { + "epoch": 0.23, + "learning_rate": 9.523162998702552e-06, + "loss": 2.6817, + "step": 1098 + }, + { + "epoch": 0.23, + "learning_rate": 9.521592845637366e-06, + "loss": 2.6516, + "step": 1099 + }, + { + "epoch": 0.23, + "learning_rate": 9.52002024155761e-06, + "loss": 2.6071, + "step": 1100 + }, + { + "epoch": 0.23, + "learning_rate": 9.51844518731574e-06, + "loss": 2.737, + "step": 1101 + }, + { + "epoch": 0.23, + "learning_rate": 9.516867683765551e-06, + "loss": 2.7087, + "step": 1102 + }, + { + "epoch": 0.23, + "learning_rate": 9.515287731762152e-06, + "loss": 2.6621, + "step": 1103 + }, + { + "epoch": 0.23, + "learning_rate": 9.513705332161989e-06, + "loss": 2.6202, + "step": 1104 + }, + { + "epoch": 0.23, + "learning_rate": 9.51212048582283e-06, + "loss": 2.7252, + "step": 1105 + }, + { + "epoch": 0.23, + "learning_rate": 9.51053319360377e-06, + "loss": 2.6479, + "step": 1106 + }, + { + "epoch": 0.23, + "learning_rate": 9.508943456365232e-06, + "loss": 2.6663, + "step": 1107 + }, + { + "epoch": 0.23, + "learning_rate": 9.507351274968964e-06, + "loss": 2.6522, + "step": 1108 + }, + { + "epoch": 0.23, + "learning_rate": 9.505756650278037e-06, + "loss": 2.6501, + "step": 1109 + }, + { + "epoch": 0.23, + "learning_rate": 9.504159583156847e-06, + "loss": 2.664, + "step": 1110 + }, + { + "epoch": 0.23, + "learning_rate": 9.502560074471115e-06, + "loss": 2.6754, + "step": 1111 + }, + { + "epoch": 0.23, + "learning_rate": 9.500958125087882e-06, + "loss": 2.661, + "step": 1112 + }, + { + "epoch": 0.23, + "learning_rate": 9.49935373587552e-06, + "loss": 2.6826, + "step": 1113 + }, + { + "epoch": 0.23, + "learning_rate": 9.497746907703715e-06, + "loss": 2.7433, + "step": 1114 + }, + { + "epoch": 0.23, + "learning_rate": 9.496137641443479e-06, + "loss": 2.6137, + "step": 1115 + }, + { + "epoch": 0.23, + "learning_rate": 9.494525937967144e-06, + "loss": 2.6297, + "step": 1116 + }, + { + "epoch": 0.23, + "learning_rate": 9.492911798148365e-06, + "loss": 2.6527, + "step": 1117 + }, + { + "epoch": 0.23, + "learning_rate": 9.491295222862119e-06, + "loss": 2.7038, + "step": 1118 + }, + { + "epoch": 0.23, + "learning_rate": 9.4896762129847e-06, + "loss": 2.7373, + "step": 1119 + }, + { + "epoch": 0.23, + "learning_rate": 9.48805476939372e-06, + "loss": 2.6565, + "step": 1120 + }, + { + "epoch": 0.24, + "learning_rate": 9.486430892968115e-06, + "loss": 2.7096, + "step": 1121 + }, + { + "epoch": 0.24, + "learning_rate": 9.484804584588139e-06, + "loss": 2.6116, + "step": 1122 + }, + { + "epoch": 0.24, + "learning_rate": 9.483175845135362e-06, + "loss": 2.6941, + "step": 1123 + }, + { + "epoch": 0.24, + "learning_rate": 9.481544675492673e-06, + "loss": 2.7092, + "step": 1124 + }, + { + "epoch": 0.24, + "learning_rate": 9.479911076544278e-06, + "loss": 2.6114, + "step": 1125 + }, + { + "epoch": 0.24, + "learning_rate": 9.478275049175701e-06, + "loss": 2.7135, + "step": 1126 + }, + { + "epoch": 0.24, + "learning_rate": 9.47663659427378e-06, + "loss": 2.7793, + "step": 1127 + }, + { + "epoch": 0.24, + "learning_rate": 9.474995712726671e-06, + "loss": 2.621, + "step": 1128 + }, + { + "epoch": 0.24, + "learning_rate": 9.473352405423845e-06, + "loss": 2.7026, + "step": 1129 + }, + { + "epoch": 0.24, + "learning_rate": 9.471706673256087e-06, + "loss": 2.6816, + "step": 1130 + }, + { + "epoch": 0.24, + "learning_rate": 9.470058517115498e-06, + "loss": 2.7721, + "step": 1131 + }, + { + "epoch": 0.24, + "learning_rate": 9.468407937895491e-06, + "loss": 2.6463, + "step": 1132 + }, + { + "epoch": 0.24, + "learning_rate": 9.466754936490797e-06, + "loss": 2.67, + "step": 1133 + }, + { + "epoch": 0.24, + "learning_rate": 9.46509951379745e-06, + "loss": 2.671, + "step": 1134 + }, + { + "epoch": 0.24, + "learning_rate": 9.46344167071281e-06, + "loss": 2.7159, + "step": 1135 + }, + { + "epoch": 0.24, + "learning_rate": 9.461781408135537e-06, + "loss": 2.7143, + "step": 1136 + }, + { + "epoch": 0.24, + "learning_rate": 9.46011872696561e-06, + "loss": 2.6297, + "step": 1137 + }, + { + "epoch": 0.24, + "learning_rate": 9.458453628104316e-06, + "loss": 2.5957, + "step": 1138 + }, + { + "epoch": 0.24, + "learning_rate": 9.456786112454255e-06, + "loss": 2.6201, + "step": 1139 + }, + { + "epoch": 0.24, + "learning_rate": 9.455116180919333e-06, + "loss": 2.6897, + "step": 1140 + }, + { + "epoch": 0.24, + "learning_rate": 9.453443834404768e-06, + "loss": 2.5128, + "step": 1141 + }, + { + "epoch": 0.24, + "learning_rate": 9.451769073817087e-06, + "loss": 2.6699, + "step": 1142 + }, + { + "epoch": 0.24, + "learning_rate": 9.450091900064125e-06, + "loss": 2.6637, + "step": 1143 + }, + { + "epoch": 0.24, + "learning_rate": 9.44841231405503e-06, + "loss": 2.7282, + "step": 1144 + }, + { + "epoch": 0.24, + "learning_rate": 9.446730316700246e-06, + "loss": 2.6222, + "step": 1145 + }, + { + "epoch": 0.24, + "learning_rate": 9.445045908911536e-06, + "loss": 2.7076, + "step": 1146 + }, + { + "epoch": 0.24, + "learning_rate": 9.443359091601966e-06, + "loss": 2.6618, + "step": 1147 + }, + { + "epoch": 0.24, + "learning_rate": 9.441669865685904e-06, + "loss": 2.631, + "step": 1148 + }, + { + "epoch": 0.24, + "learning_rate": 9.439978232079027e-06, + "loss": 2.6715, + "step": 1149 + }, + { + "epoch": 0.24, + "learning_rate": 9.43828419169832e-06, + "loss": 2.6198, + "step": 1150 + }, + { + "epoch": 0.24, + "learning_rate": 9.436587745462065e-06, + "loss": 2.6503, + "step": 1151 + }, + { + "epoch": 0.24, + "learning_rate": 9.434888894289856e-06, + "loss": 2.6579, + "step": 1152 + }, + { + "epoch": 0.24, + "learning_rate": 9.433187639102587e-06, + "loss": 2.7277, + "step": 1153 + }, + { + "epoch": 0.24, + "learning_rate": 9.431483980822453e-06, + "loss": 2.6244, + "step": 1154 + }, + { + "epoch": 0.24, + "learning_rate": 9.429777920372957e-06, + "loss": 2.7109, + "step": 1155 + }, + { + "epoch": 0.24, + "learning_rate": 9.428069458678899e-06, + "loss": 2.659, + "step": 1156 + }, + { + "epoch": 0.24, + "learning_rate": 9.426358596666385e-06, + "loss": 2.703, + "step": 1157 + }, + { + "epoch": 0.24, + "learning_rate": 9.424645335262818e-06, + "loss": 2.6038, + "step": 1158 + }, + { + "epoch": 0.24, + "learning_rate": 9.422929675396903e-06, + "loss": 2.6736, + "step": 1159 + }, + { + "epoch": 0.24, + "learning_rate": 9.421211617998649e-06, + "loss": 2.6915, + "step": 1160 + }, + { + "epoch": 0.24, + "learning_rate": 9.419491163999359e-06, + "loss": 2.6409, + "step": 1161 + }, + { + "epoch": 0.24, + "learning_rate": 9.417768314331637e-06, + "loss": 2.6884, + "step": 1162 + }, + { + "epoch": 0.24, + "learning_rate": 9.416043069929389e-06, + "loss": 2.6652, + "step": 1163 + }, + { + "epoch": 0.24, + "learning_rate": 9.414315431727813e-06, + "loss": 2.6841, + "step": 1164 + }, + { + "epoch": 0.24, + "learning_rate": 9.412585400663407e-06, + "loss": 2.6836, + "step": 1165 + }, + { + "epoch": 0.24, + "learning_rate": 9.410852977673971e-06, + "loss": 2.568, + "step": 1166 + }, + { + "epoch": 0.24, + "learning_rate": 9.409118163698596e-06, + "loss": 2.6689, + "step": 1167 + }, + { + "epoch": 0.25, + "learning_rate": 9.40738095967767e-06, + "loss": 2.6412, + "step": 1168 + }, + { + "epoch": 0.25, + "learning_rate": 9.405641366552878e-06, + "loss": 2.6786, + "step": 1169 + }, + { + "epoch": 0.25, + "learning_rate": 9.403899385267197e-06, + "loss": 2.6536, + "step": 1170 + }, + { + "epoch": 0.25, + "learning_rate": 9.402155016764903e-06, + "loss": 2.6887, + "step": 1171 + }, + { + "epoch": 0.25, + "learning_rate": 9.400408261991564e-06, + "loss": 2.654, + "step": 1172 + }, + { + "epoch": 0.25, + "learning_rate": 9.39865912189404e-06, + "loss": 2.6279, + "step": 1173 + }, + { + "epoch": 0.25, + "learning_rate": 9.396907597420483e-06, + "loss": 2.6523, + "step": 1174 + }, + { + "epoch": 0.25, + "learning_rate": 9.395153689520346e-06, + "loss": 2.6254, + "step": 1175 + }, + { + "epoch": 0.25, + "learning_rate": 9.393397399144363e-06, + "loss": 2.6219, + "step": 1176 + }, + { + "epoch": 0.25, + "learning_rate": 9.391638727244566e-06, + "loss": 2.6271, + "step": 1177 + }, + { + "epoch": 0.25, + "learning_rate": 9.389877674774276e-06, + "loss": 2.7017, + "step": 1178 + }, + { + "epoch": 0.25, + "learning_rate": 9.388114242688105e-06, + "loss": 2.5923, + "step": 1179 + }, + { + "epoch": 0.25, + "learning_rate": 9.386348431941953e-06, + "loss": 2.6387, + "step": 1180 + }, + { + "epoch": 0.25, + "learning_rate": 9.384580243493014e-06, + "loss": 2.6522, + "step": 1181 + }, + { + "epoch": 0.25, + "learning_rate": 9.382809678299763e-06, + "loss": 2.6462, + "step": 1182 + }, + { + "epoch": 0.25, + "learning_rate": 9.381036737321973e-06, + "loss": 2.6988, + "step": 1183 + }, + { + "epoch": 0.25, + "learning_rate": 9.379261421520698e-06, + "loss": 2.6562, + "step": 1184 + }, + { + "epoch": 0.25, + "learning_rate": 9.377483731858282e-06, + "loss": 2.639, + "step": 1185 + }, + { + "epoch": 0.25, + "learning_rate": 9.375703669298354e-06, + "loss": 2.7192, + "step": 1186 + }, + { + "epoch": 0.25, + "learning_rate": 9.373921234805833e-06, + "loss": 2.7026, + "step": 1187 + }, + { + "epoch": 0.25, + "learning_rate": 9.372136429346918e-06, + "loss": 2.5981, + "step": 1188 + }, + { + "epoch": 0.25, + "learning_rate": 9.370349253889098e-06, + "loss": 2.63, + "step": 1189 + }, + { + "epoch": 0.25, + "learning_rate": 9.368559709401145e-06, + "loss": 2.6356, + "step": 1190 + }, + { + "epoch": 0.25, + "learning_rate": 9.366767796853116e-06, + "loss": 2.5826, + "step": 1191 + }, + { + "epoch": 0.25, + "learning_rate": 9.36497351721635e-06, + "loss": 2.713, + "step": 1192 + }, + { + "epoch": 0.25, + "learning_rate": 9.36317687146347e-06, + "loss": 2.7351, + "step": 1193 + }, + { + "epoch": 0.25, + "learning_rate": 9.36137786056838e-06, + "loss": 2.5918, + "step": 1194 + }, + { + "epoch": 0.25, + "learning_rate": 9.35957648550627e-06, + "loss": 2.652, + "step": 1195 + }, + { + "epoch": 0.25, + "learning_rate": 9.357772747253612e-06, + "loss": 2.6813, + "step": 1196 + }, + { + "epoch": 0.25, + "learning_rate": 9.355966646788152e-06, + "loss": 2.6646, + "step": 1197 + }, + { + "epoch": 0.25, + "learning_rate": 9.354158185088921e-06, + "loss": 2.6356, + "step": 1198 + }, + { + "epoch": 0.25, + "learning_rate": 9.352347363136232e-06, + "loss": 2.6227, + "step": 1199 + }, + { + "epoch": 0.25, + "learning_rate": 9.350534181911672e-06, + "loss": 2.641, + "step": 1200 + }, + { + "epoch": 0.25, + "learning_rate": 9.348718642398114e-06, + "loss": 2.651, + "step": 1201 + }, + { + "epoch": 0.25, + "learning_rate": 9.346900745579703e-06, + "loss": 2.6348, + "step": 1202 + }, + { + "epoch": 0.25, + "learning_rate": 9.345080492441864e-06, + "loss": 2.7449, + "step": 1203 + }, + { + "epoch": 0.25, + "learning_rate": 9.3432578839713e-06, + "loss": 2.6832, + "step": 1204 + }, + { + "epoch": 0.25, + "learning_rate": 9.34143292115599e-06, + "loss": 2.6087, + "step": 1205 + }, + { + "epoch": 0.25, + "learning_rate": 9.339605604985192e-06, + "loss": 2.6602, + "step": 1206 + }, + { + "epoch": 0.25, + "learning_rate": 9.337775936449432e-06, + "loss": 2.7243, + "step": 1207 + }, + { + "epoch": 0.25, + "learning_rate": 9.335943916540521e-06, + "loss": 2.6373, + "step": 1208 + }, + { + "epoch": 0.25, + "learning_rate": 9.334109546251538e-06, + "loss": 2.5984, + "step": 1209 + }, + { + "epoch": 0.25, + "learning_rate": 9.332272826576838e-06, + "loss": 2.6639, + "step": 1210 + }, + { + "epoch": 0.25, + "learning_rate": 9.330433758512048e-06, + "loss": 2.6785, + "step": 1211 + }, + { + "epoch": 0.25, + "learning_rate": 9.328592343054072e-06, + "loss": 2.6515, + "step": 1212 + }, + { + "epoch": 0.25, + "learning_rate": 9.326748581201084e-06, + "loss": 2.6696, + "step": 1213 + }, + { + "epoch": 0.25, + "learning_rate": 9.324902473952529e-06, + "loss": 2.6615, + "step": 1214 + }, + { + "epoch": 0.25, + "learning_rate": 9.323054022309123e-06, + "loss": 2.7008, + "step": 1215 + }, + { + "epoch": 0.26, + "learning_rate": 9.321203227272854e-06, + "loss": 2.6277, + "step": 1216 + }, + { + "epoch": 0.26, + "learning_rate": 9.319350089846983e-06, + "loss": 2.6494, + "step": 1217 + }, + { + "epoch": 0.26, + "learning_rate": 9.317494611036038e-06, + "loss": 2.7001, + "step": 1218 + }, + { + "epoch": 0.26, + "learning_rate": 9.315636791845813e-06, + "loss": 2.6727, + "step": 1219 + }, + { + "epoch": 0.26, + "learning_rate": 9.313776633283376e-06, + "loss": 2.7211, + "step": 1220 + }, + { + "epoch": 0.26, + "learning_rate": 9.31191413635706e-06, + "loss": 2.7129, + "step": 1221 + }, + { + "epoch": 0.26, + "learning_rate": 9.310049302076467e-06, + "loss": 2.637, + "step": 1222 + }, + { + "epoch": 0.26, + "learning_rate": 9.308182131452465e-06, + "loss": 2.6218, + "step": 1223 + }, + { + "epoch": 0.26, + "learning_rate": 9.306312625497191e-06, + "loss": 2.6127, + "step": 1224 + }, + { + "epoch": 0.26, + "learning_rate": 9.304440785224043e-06, + "loss": 2.6578, + "step": 1225 + }, + { + "epoch": 0.26, + "learning_rate": 9.30256661164769e-06, + "loss": 2.7476, + "step": 1226 + }, + { + "epoch": 0.26, + "learning_rate": 9.300690105784063e-06, + "loss": 2.6439, + "step": 1227 + }, + { + "epoch": 0.26, + "learning_rate": 9.298811268650353e-06, + "loss": 2.6052, + "step": 1228 + }, + { + "epoch": 0.26, + "learning_rate": 9.296930101265026e-06, + "loss": 2.6038, + "step": 1229 + }, + { + "epoch": 0.26, + "learning_rate": 9.295046604647799e-06, + "loss": 2.6792, + "step": 1230 + }, + { + "epoch": 0.26, + "learning_rate": 9.293160779819658e-06, + "loss": 2.6958, + "step": 1231 + }, + { + "epoch": 0.26, + "learning_rate": 9.291272627802852e-06, + "loss": 2.6651, + "step": 1232 + }, + { + "epoch": 0.26, + "learning_rate": 9.289382149620886e-06, + "loss": 2.6759, + "step": 1233 + }, + { + "epoch": 0.26, + "learning_rate": 9.28748934629853e-06, + "loss": 2.6505, + "step": 1234 + }, + { + "epoch": 0.26, + "learning_rate": 9.285594218861816e-06, + "loss": 2.6534, + "step": 1235 + }, + { + "epoch": 0.26, + "learning_rate": 9.283696768338033e-06, + "loss": 2.6533, + "step": 1236 + }, + { + "epoch": 0.26, + "learning_rate": 9.281796995755728e-06, + "loss": 2.6228, + "step": 1237 + }, + { + "epoch": 0.26, + "learning_rate": 9.279894902144708e-06, + "loss": 2.6188, + "step": 1238 + }, + { + "epoch": 0.26, + "learning_rate": 9.277990488536042e-06, + "loss": 2.7145, + "step": 1239 + }, + { + "epoch": 0.26, + "learning_rate": 9.276083755962051e-06, + "loss": 2.7581, + "step": 1240 + }, + { + "epoch": 0.26, + "learning_rate": 9.274174705456315e-06, + "loss": 2.7293, + "step": 1241 + }, + { + "epoch": 0.26, + "learning_rate": 9.272263338053673e-06, + "loss": 2.775, + "step": 1242 + }, + { + "epoch": 0.26, + "learning_rate": 9.270349654790215e-06, + "loss": 2.6306, + "step": 1243 + }, + { + "epoch": 0.26, + "learning_rate": 9.26843365670329e-06, + "loss": 2.6562, + "step": 1244 + }, + { + "epoch": 0.26, + "learning_rate": 9.266515344831502e-06, + "loss": 2.644, + "step": 1245 + }, + { + "epoch": 0.26, + "learning_rate": 9.264594720214706e-06, + "loss": 2.6683, + "step": 1246 + }, + { + "epoch": 0.26, + "learning_rate": 9.262671783894015e-06, + "loss": 2.6183, + "step": 1247 + }, + { + "epoch": 0.26, + "learning_rate": 9.260746536911792e-06, + "loss": 2.6272, + "step": 1248 + }, + { + "epoch": 0.26, + "learning_rate": 9.258818980311653e-06, + "loss": 2.6997, + "step": 1249 + }, + { + "epoch": 0.26, + "learning_rate": 9.256889115138465e-06, + "loss": 2.6775, + "step": 1250 + }, + { + "epoch": 0.26, + "learning_rate": 9.25495694243835e-06, + "loss": 2.6681, + "step": 1251 + }, + { + "epoch": 0.26, + "learning_rate": 9.25302246325868e-06, + "loss": 2.6457, + "step": 1252 + }, + { + "epoch": 0.26, + "learning_rate": 9.251085678648072e-06, + "loss": 2.6836, + "step": 1253 + }, + { + "epoch": 0.26, + "learning_rate": 9.249146589656398e-06, + "loss": 2.6754, + "step": 1254 + }, + { + "epoch": 0.26, + "learning_rate": 9.247205197334779e-06, + "loss": 2.6087, + "step": 1255 + }, + { + "epoch": 0.26, + "learning_rate": 9.245261502735582e-06, + "loss": 2.6594, + "step": 1256 + }, + { + "epoch": 0.26, + "learning_rate": 9.243315506912423e-06, + "loss": 2.668, + "step": 1257 + }, + { + "epoch": 0.26, + "learning_rate": 9.241367210920166e-06, + "loss": 2.5823, + "step": 1258 + }, + { + "epoch": 0.26, + "learning_rate": 9.239416615814925e-06, + "loss": 2.6892, + "step": 1259 + }, + { + "epoch": 0.26, + "learning_rate": 9.23746372265405e-06, + "loss": 2.6667, + "step": 1260 + }, + { + "epoch": 0.26, + "learning_rate": 9.23550853249615e-06, + "loss": 2.6721, + "step": 1261 + }, + { + "epoch": 0.26, + "learning_rate": 9.233551046401068e-06, + "loss": 2.6834, + "step": 1262 + }, + { + "epoch": 0.26, + "learning_rate": 9.231591265429897e-06, + "loss": 2.6184, + "step": 1263 + }, + { + "epoch": 0.27, + "learning_rate": 9.229629190644978e-06, + "loss": 2.7311, + "step": 1264 + }, + { + "epoch": 0.27, + "learning_rate": 9.227664823109884e-06, + "loss": 2.5989, + "step": 1265 + }, + { + "epoch": 0.27, + "learning_rate": 9.22569816388944e-06, + "loss": 2.703, + "step": 1266 + }, + { + "epoch": 0.27, + "learning_rate": 9.223729214049712e-06, + "loss": 2.7196, + "step": 1267 + }, + { + "epoch": 0.27, + "learning_rate": 9.221757974658006e-06, + "loss": 2.7018, + "step": 1268 + }, + { + "epoch": 0.27, + "learning_rate": 9.219784446782867e-06, + "loss": 2.6462, + "step": 1269 + }, + { + "epoch": 0.27, + "learning_rate": 9.217808631494086e-06, + "loss": 2.6672, + "step": 1270 + }, + { + "epoch": 0.27, + "learning_rate": 9.215830529862688e-06, + "loss": 2.6452, + "step": 1271 + }, + { + "epoch": 0.27, + "learning_rate": 9.213850142960943e-06, + "loss": 2.662, + "step": 1272 + }, + { + "epoch": 0.27, + "learning_rate": 9.211867471862357e-06, + "loss": 2.6483, + "step": 1273 + }, + { + "epoch": 0.27, + "learning_rate": 9.20988251764167e-06, + "loss": 2.7041, + "step": 1274 + }, + { + "epoch": 0.27, + "learning_rate": 9.20789528137487e-06, + "loss": 2.6623, + "step": 1275 + }, + { + "epoch": 0.27, + "learning_rate": 9.205905764139172e-06, + "loss": 2.7028, + "step": 1276 + }, + { + "epoch": 0.27, + "learning_rate": 9.203913967013032e-06, + "loss": 2.6445, + "step": 1277 + }, + { + "epoch": 0.27, + "learning_rate": 9.201919891076139e-06, + "loss": 2.6763, + "step": 1278 + }, + { + "epoch": 0.27, + "learning_rate": 9.199923537409424e-06, + "loss": 2.6872, + "step": 1279 + }, + { + "epoch": 0.27, + "learning_rate": 9.197924907095045e-06, + "loss": 2.6706, + "step": 1280 + }, + { + "epoch": 0.27, + "learning_rate": 9.195924001216399e-06, + "loss": 2.7143, + "step": 1281 + }, + { + "epoch": 0.27, + "learning_rate": 9.193920820858113e-06, + "loss": 2.5832, + "step": 1282 + }, + { + "epoch": 0.27, + "learning_rate": 9.191915367106048e-06, + "loss": 2.753, + "step": 1283 + }, + { + "epoch": 0.27, + "learning_rate": 9.1899076410473e-06, + "loss": 2.6811, + "step": 1284 + }, + { + "epoch": 0.27, + "learning_rate": 9.187897643770194e-06, + "loss": 2.6276, + "step": 1285 + }, + { + "epoch": 0.27, + "learning_rate": 9.185885376364288e-06, + "loss": 2.6964, + "step": 1286 + }, + { + "epoch": 0.27, + "learning_rate": 9.183870839920366e-06, + "loss": 2.7006, + "step": 1287 + }, + { + "epoch": 0.27, + "learning_rate": 9.18185403553045e-06, + "loss": 2.6865, + "step": 1288 + }, + { + "epoch": 0.27, + "learning_rate": 9.179834964287784e-06, + "loss": 2.6495, + "step": 1289 + }, + { + "epoch": 0.27, + "learning_rate": 9.177813627286842e-06, + "loss": 2.725, + "step": 1290 + }, + { + "epoch": 0.27, + "learning_rate": 9.175790025623333e-06, + "loss": 2.6958, + "step": 1291 + }, + { + "epoch": 0.27, + "learning_rate": 9.173764160394184e-06, + "loss": 2.6634, + "step": 1292 + }, + { + "epoch": 0.27, + "learning_rate": 9.171736032697556e-06, + "loss": 2.6582, + "step": 1293 + }, + { + "epoch": 0.27, + "learning_rate": 9.169705643632832e-06, + "loss": 2.6358, + "step": 1294 + }, + { + "epoch": 0.27, + "learning_rate": 9.167672994300622e-06, + "loss": 2.7266, + "step": 1295 + }, + { + "epoch": 0.27, + "learning_rate": 9.165638085802764e-06, + "loss": 2.6496, + "step": 1296 + }, + { + "epoch": 0.27, + "learning_rate": 9.163600919242318e-06, + "loss": 2.6555, + "step": 1297 + }, + { + "epoch": 0.27, + "learning_rate": 9.161561495723566e-06, + "loss": 2.6633, + "step": 1298 + }, + { + "epoch": 0.27, + "learning_rate": 9.159519816352021e-06, + "loss": 2.6946, + "step": 1299 + }, + { + "epoch": 0.27, + "learning_rate": 9.157475882234408e-06, + "loss": 2.6907, + "step": 1300 + }, + { + "epoch": 0.27, + "learning_rate": 9.155429694478685e-06, + "loss": 2.7675, + "step": 1301 + }, + { + "epoch": 0.27, + "learning_rate": 9.153381254194023e-06, + "loss": 2.6656, + "step": 1302 + }, + { + "epoch": 0.27, + "learning_rate": 9.15133056249082e-06, + "loss": 2.6396, + "step": 1303 + }, + { + "epoch": 0.27, + "learning_rate": 9.14927762048069e-06, + "loss": 2.6461, + "step": 1304 + }, + { + "epoch": 0.27, + "learning_rate": 9.14722242927647e-06, + "loss": 2.7014, + "step": 1305 + }, + { + "epoch": 0.27, + "learning_rate": 9.145164989992215e-06, + "loss": 2.6401, + "step": 1306 + }, + { + "epoch": 0.27, + "learning_rate": 9.143105303743199e-06, + "loss": 2.7465, + "step": 1307 + }, + { + "epoch": 0.27, + "learning_rate": 9.141043371645914e-06, + "loss": 2.6642, + "step": 1308 + }, + { + "epoch": 0.27, + "learning_rate": 9.138979194818068e-06, + "loss": 2.705, + "step": 1309 + }, + { + "epoch": 0.27, + "learning_rate": 9.136912774378588e-06, + "loss": 2.6822, + "step": 1310 + }, + { + "epoch": 0.28, + "learning_rate": 9.134844111447616e-06, + "loss": 2.6764, + "step": 1311 + }, + { + "epoch": 0.28, + "learning_rate": 9.13277320714651e-06, + "loss": 2.6046, + "step": 1312 + }, + { + "epoch": 0.28, + "learning_rate": 9.130700062597841e-06, + "loss": 2.637, + "step": 1313 + }, + { + "epoch": 0.28, + "learning_rate": 9.128624678925396e-06, + "loss": 2.6698, + "step": 1314 + }, + { + "epoch": 0.28, + "learning_rate": 9.126547057254177e-06, + "loss": 2.7087, + "step": 1315 + }, + { + "epoch": 0.28, + "learning_rate": 9.124467198710401e-06, + "loss": 2.6323, + "step": 1316 + }, + { + "epoch": 0.28, + "learning_rate": 9.12238510442149e-06, + "loss": 2.6743, + "step": 1317 + }, + { + "epoch": 0.28, + "learning_rate": 9.120300775516082e-06, + "loss": 2.7371, + "step": 1318 + }, + { + "epoch": 0.28, + "learning_rate": 9.11821421312403e-06, + "loss": 2.6626, + "step": 1319 + }, + { + "epoch": 0.28, + "learning_rate": 9.116125418376394e-06, + "loss": 2.6441, + "step": 1320 + }, + { + "epoch": 0.28, + "learning_rate": 9.114034392405442e-06, + "loss": 2.6152, + "step": 1321 + }, + { + "epoch": 0.28, + "learning_rate": 9.111941136344656e-06, + "loss": 2.6862, + "step": 1322 + }, + { + "epoch": 0.28, + "learning_rate": 9.109845651328724e-06, + "loss": 2.6722, + "step": 1323 + }, + { + "epoch": 0.28, + "learning_rate": 9.107747938493545e-06, + "loss": 2.6495, + "step": 1324 + }, + { + "epoch": 0.28, + "learning_rate": 9.105647998976221e-06, + "loss": 2.6276, + "step": 1325 + }, + { + "epoch": 0.28, + "learning_rate": 9.103545833915065e-06, + "loss": 2.6774, + "step": 1326 + }, + { + "epoch": 0.28, + "learning_rate": 9.101441444449596e-06, + "loss": 2.6399, + "step": 1327 + }, + { + "epoch": 0.28, + "learning_rate": 9.099334831720537e-06, + "loss": 2.6814, + "step": 1328 + }, + { + "epoch": 0.28, + "learning_rate": 9.097225996869818e-06, + "loss": 2.6907, + "step": 1329 + }, + { + "epoch": 0.28, + "learning_rate": 9.09511494104057e-06, + "loss": 2.664, + "step": 1330 + }, + { + "epoch": 0.28, + "learning_rate": 9.093001665377135e-06, + "loss": 2.6973, + "step": 1331 + }, + { + "epoch": 0.28, + "learning_rate": 9.09088617102505e-06, + "loss": 2.6835, + "step": 1332 + }, + { + "epoch": 0.28, + "learning_rate": 9.08876845913106e-06, + "loss": 2.6139, + "step": 1333 + }, + { + "epoch": 0.28, + "learning_rate": 9.08664853084311e-06, + "loss": 2.6691, + "step": 1334 + }, + { + "epoch": 0.28, + "learning_rate": 9.084526387310349e-06, + "loss": 2.6907, + "step": 1335 + }, + { + "epoch": 0.28, + "learning_rate": 9.082402029683125e-06, + "loss": 2.7834, + "step": 1336 + }, + { + "epoch": 0.28, + "learning_rate": 9.08027545911298e-06, + "loss": 2.6461, + "step": 1337 + }, + { + "epoch": 0.28, + "learning_rate": 9.07814667675267e-06, + "loss": 2.6984, + "step": 1338 + }, + { + "epoch": 0.28, + "learning_rate": 9.076015683756136e-06, + "loss": 2.6803, + "step": 1339 + }, + { + "epoch": 0.28, + "learning_rate": 9.073882481278527e-06, + "loss": 2.7098, + "step": 1340 + }, + { + "epoch": 0.28, + "learning_rate": 9.071747070476182e-06, + "loss": 2.6947, + "step": 1341 + }, + { + "epoch": 0.28, + "learning_rate": 9.069609452506642e-06, + "loss": 2.6745, + "step": 1342 + }, + { + "epoch": 0.28, + "learning_rate": 9.067469628528643e-06, + "loss": 2.671, + "step": 1343 + }, + { + "epoch": 0.28, + "learning_rate": 9.065327599702117e-06, + "loss": 2.6879, + "step": 1344 + }, + { + "epoch": 0.28, + "learning_rate": 9.06318336718819e-06, + "loss": 2.693, + "step": 1345 + }, + { + "epoch": 0.28, + "learning_rate": 9.061036932149186e-06, + "loss": 2.6813, + "step": 1346 + }, + { + "epoch": 0.28, + "learning_rate": 9.058888295748617e-06, + "loss": 2.6414, + "step": 1347 + }, + { + "epoch": 0.28, + "learning_rate": 9.056737459151198e-06, + "loss": 2.7117, + "step": 1348 + }, + { + "epoch": 0.28, + "learning_rate": 9.054584423522822e-06, + "loss": 2.6582, + "step": 1349 + }, + { + "epoch": 0.28, + "learning_rate": 9.052429190030589e-06, + "loss": 2.6261, + "step": 1350 + }, + { + "epoch": 0.28, + "learning_rate": 9.050271759842782e-06, + "loss": 2.6312, + "step": 1351 + }, + { + "epoch": 0.28, + "learning_rate": 9.048112134128877e-06, + "loss": 2.656, + "step": 1352 + }, + { + "epoch": 0.28, + "learning_rate": 9.04595031405954e-06, + "loss": 2.6526, + "step": 1353 + }, + { + "epoch": 0.28, + "learning_rate": 9.043786300806622e-06, + "loss": 2.6351, + "step": 1354 + }, + { + "epoch": 0.28, + "learning_rate": 9.041620095543175e-06, + "loss": 2.6964, + "step": 1355 + }, + { + "epoch": 0.28, + "learning_rate": 9.039451699443426e-06, + "loss": 2.6271, + "step": 1356 + }, + { + "epoch": 0.28, + "learning_rate": 9.037281113682796e-06, + "loss": 2.7167, + "step": 1357 + }, + { + "epoch": 0.28, + "learning_rate": 9.03510833943789e-06, + "loss": 2.6571, + "step": 1358 + }, + { + "epoch": 0.29, + "learning_rate": 9.032933377886505e-06, + "loss": 2.6244, + "step": 1359 + }, + { + "epoch": 0.29, + "learning_rate": 9.030756230207619e-06, + "loss": 2.6816, + "step": 1360 + }, + { + "epoch": 0.29, + "learning_rate": 9.028576897581393e-06, + "loss": 2.6642, + "step": 1361 + }, + { + "epoch": 0.29, + "learning_rate": 9.026395381189179e-06, + "loss": 2.6037, + "step": 1362 + }, + { + "epoch": 0.29, + "learning_rate": 9.024211682213508e-06, + "loss": 2.732, + "step": 1363 + }, + { + "epoch": 0.29, + "learning_rate": 9.022025801838093e-06, + "loss": 2.8118, + "step": 1364 + }, + { + "epoch": 0.29, + "learning_rate": 9.019837741247833e-06, + "loss": 2.6739, + "step": 1365 + }, + { + "epoch": 0.29, + "learning_rate": 9.017647501628809e-06, + "loss": 2.6458, + "step": 1366 + }, + { + "epoch": 0.29, + "learning_rate": 9.015455084168279e-06, + "loss": 2.6682, + "step": 1367 + }, + { + "epoch": 0.29, + "learning_rate": 9.013260490054686e-06, + "loss": 2.6476, + "step": 1368 + }, + { + "epoch": 0.29, + "learning_rate": 9.011063720477651e-06, + "loss": 2.6516, + "step": 1369 + }, + { + "epoch": 0.29, + "learning_rate": 9.008864776627973e-06, + "loss": 2.6177, + "step": 1370 + }, + { + "epoch": 0.29, + "learning_rate": 9.006663659697632e-06, + "loss": 2.643, + "step": 1371 + }, + { + "epoch": 0.29, + "learning_rate": 9.004460370879783e-06, + "loss": 2.6527, + "step": 1372 + }, + { + "epoch": 0.29, + "learning_rate": 9.002254911368765e-06, + "loss": 2.7449, + "step": 1373 + }, + { + "epoch": 0.29, + "learning_rate": 9.000047282360085e-06, + "loss": 2.6732, + "step": 1374 + }, + { + "epoch": 0.29, + "learning_rate": 8.997837485050429e-06, + "loss": 2.6487, + "step": 1375 + }, + { + "epoch": 0.29, + "learning_rate": 8.995625520637662e-06, + "loss": 2.6606, + "step": 1376 + }, + { + "epoch": 0.29, + "learning_rate": 8.993411390320822e-06, + "loss": 2.6341, + "step": 1377 + }, + { + "epoch": 0.29, + "learning_rate": 8.991195095300113e-06, + "loss": 2.6482, + "step": 1378 + }, + { + "epoch": 0.29, + "learning_rate": 8.988976636776928e-06, + "loss": 2.6427, + "step": 1379 + }, + { + "epoch": 0.29, + "learning_rate": 8.98675601595382e-06, + "loss": 2.6803, + "step": 1380 + }, + { + "epoch": 0.29, + "learning_rate": 8.984533234034518e-06, + "loss": 2.6919, + "step": 1381 + }, + { + "epoch": 0.29, + "learning_rate": 8.982308292223925e-06, + "loss": 2.7373, + "step": 1382 + }, + { + "epoch": 0.29, + "learning_rate": 8.98008119172811e-06, + "loss": 2.6105, + "step": 1383 + }, + { + "epoch": 0.29, + "learning_rate": 8.977851933754317e-06, + "loss": 2.6254, + "step": 1384 + }, + { + "epoch": 0.29, + "learning_rate": 8.975620519510957e-06, + "loss": 2.6839, + "step": 1385 + }, + { + "epoch": 0.29, + "learning_rate": 8.973386950207608e-06, + "loss": 2.5925, + "step": 1386 + }, + { + "epoch": 0.29, + "learning_rate": 8.97115122705502e-06, + "loss": 2.6762, + "step": 1387 + }, + { + "epoch": 0.29, + "learning_rate": 8.968913351265109e-06, + "loss": 2.6575, + "step": 1388 + }, + { + "epoch": 0.29, + "learning_rate": 8.966673324050958e-06, + "loss": 2.6532, + "step": 1389 + }, + { + "epoch": 0.29, + "learning_rate": 8.964431146626816e-06, + "loss": 2.6344, + "step": 1390 + }, + { + "epoch": 0.29, + "learning_rate": 8.962186820208097e-06, + "loss": 2.6224, + "step": 1391 + }, + { + "epoch": 0.29, + "learning_rate": 8.959940346011378e-06, + "loss": 2.6746, + "step": 1392 + }, + { + "epoch": 0.29, + "learning_rate": 8.957691725254407e-06, + "loss": 2.6374, + "step": 1393 + }, + { + "epoch": 0.29, + "learning_rate": 8.955440959156088e-06, + "loss": 2.7068, + "step": 1394 + }, + { + "epoch": 0.29, + "learning_rate": 8.953188048936493e-06, + "loss": 2.8022, + "step": 1395 + }, + { + "epoch": 0.29, + "learning_rate": 8.950932995816855e-06, + "loss": 2.6948, + "step": 1396 + }, + { + "epoch": 0.29, + "learning_rate": 8.948675801019564e-06, + "loss": 2.7275, + "step": 1397 + }, + { + "epoch": 0.29, + "learning_rate": 8.94641646576818e-06, + "loss": 2.6732, + "step": 1398 + }, + { + "epoch": 0.29, + "learning_rate": 8.944154991287414e-06, + "loss": 2.7147, + "step": 1399 + }, + { + "epoch": 0.29, + "learning_rate": 8.941891378803145e-06, + "loss": 2.6271, + "step": 1400 + }, + { + "epoch": 0.29, + "learning_rate": 8.939625629542401e-06, + "loss": 2.6808, + "step": 1401 + }, + { + "epoch": 0.29, + "learning_rate": 8.93735774473338e-06, + "loss": 2.6729, + "step": 1402 + }, + { + "epoch": 0.29, + "learning_rate": 8.93508772560543e-06, + "loss": 2.6954, + "step": 1403 + }, + { + "epoch": 0.29, + "learning_rate": 8.932815573389058e-06, + "loss": 2.6258, + "step": 1404 + }, + { + "epoch": 0.29, + "learning_rate": 8.930541289315923e-06, + "loss": 2.7604, + "step": 1405 + }, + { + "epoch": 0.29, + "learning_rate": 8.928264874618849e-06, + "loss": 2.7296, + "step": 1406 + }, + { + "epoch": 0.3, + "learning_rate": 8.925986330531804e-06, + "loss": 2.6066, + "step": 1407 + }, + { + "epoch": 0.3, + "learning_rate": 8.923705658289921e-06, + "loss": 2.7471, + "step": 1408 + }, + { + "epoch": 0.3, + "learning_rate": 8.921422859129478e-06, + "loss": 2.6561, + "step": 1409 + }, + { + "epoch": 0.3, + "learning_rate": 8.91913793428791e-06, + "loss": 2.6976, + "step": 1410 + }, + { + "epoch": 0.3, + "learning_rate": 8.916850885003804e-06, + "loss": 2.6061, + "step": 1411 + }, + { + "epoch": 0.3, + "learning_rate": 8.914561712516898e-06, + "loss": 2.6118, + "step": 1412 + }, + { + "epoch": 0.3, + "learning_rate": 8.91227041806808e-06, + "loss": 2.6105, + "step": 1413 + }, + { + "epoch": 0.3, + "learning_rate": 8.909977002899392e-06, + "loss": 2.6504, + "step": 1414 + }, + { + "epoch": 0.3, + "learning_rate": 8.90768146825402e-06, + "loss": 2.6628, + "step": 1415 + }, + { + "epoch": 0.3, + "learning_rate": 8.905383815376303e-06, + "loss": 2.6727, + "step": 1416 + }, + { + "epoch": 0.3, + "learning_rate": 8.903084045511728e-06, + "loss": 2.6777, + "step": 1417 + }, + { + "epoch": 0.3, + "learning_rate": 8.900782159906927e-06, + "loss": 2.7082, + "step": 1418 + }, + { + "epoch": 0.3, + "learning_rate": 8.89847815980968e-06, + "loss": 2.6628, + "step": 1419 + }, + { + "epoch": 0.3, + "learning_rate": 8.896172046468917e-06, + "loss": 2.6493, + "step": 1420 + }, + { + "epoch": 0.3, + "learning_rate": 8.893863821134705e-06, + "loss": 2.7032, + "step": 1421 + }, + { + "epoch": 0.3, + "learning_rate": 8.891553485058267e-06, + "loss": 2.6146, + "step": 1422 + }, + { + "epoch": 0.3, + "learning_rate": 8.889241039491957e-06, + "loss": 2.7197, + "step": 1423 + }, + { + "epoch": 0.3, + "learning_rate": 8.886926485689287e-06, + "loss": 2.7049, + "step": 1424 + }, + { + "epoch": 0.3, + "learning_rate": 8.8846098249049e-06, + "loss": 2.6984, + "step": 1425 + }, + { + "epoch": 0.3, + "learning_rate": 8.882291058394587e-06, + "loss": 2.6482, + "step": 1426 + }, + { + "epoch": 0.3, + "learning_rate": 8.87997018741528e-06, + "loss": 2.7285, + "step": 1427 + }, + { + "epoch": 0.3, + "learning_rate": 8.877647213225049e-06, + "loss": 2.6748, + "step": 1428 + }, + { + "epoch": 0.3, + "learning_rate": 8.875322137083107e-06, + "loss": 2.738, + "step": 1429 + }, + { + "epoch": 0.3, + "learning_rate": 8.872994960249804e-06, + "loss": 2.5715, + "step": 1430 + }, + { + "epoch": 0.3, + "learning_rate": 8.87066568398663e-06, + "loss": 2.662, + "step": 1431 + }, + { + "epoch": 0.3, + "learning_rate": 8.868334309556216e-06, + "loss": 2.6273, + "step": 1432 + }, + { + "epoch": 0.3, + "learning_rate": 8.866000838222327e-06, + "loss": 2.6716, + "step": 1433 + }, + { + "epoch": 0.3, + "learning_rate": 8.863665271249859e-06, + "loss": 2.6051, + "step": 1434 + }, + { + "epoch": 0.3, + "learning_rate": 8.861327609904859e-06, + "loss": 2.6118, + "step": 1435 + }, + { + "epoch": 0.3, + "learning_rate": 8.858987855454493e-06, + "loss": 2.6373, + "step": 1436 + }, + { + "epoch": 0.3, + "learning_rate": 8.856646009167073e-06, + "loss": 2.606, + "step": 1437 + }, + { + "epoch": 0.3, + "learning_rate": 8.85430207231204e-06, + "loss": 2.6596, + "step": 1438 + }, + { + "epoch": 0.3, + "learning_rate": 8.85195604615997e-06, + "loss": 2.6213, + "step": 1439 + }, + { + "epoch": 0.3, + "learning_rate": 8.84960793198257e-06, + "loss": 2.5985, + "step": 1440 + }, + { + "epoch": 0.3, + "learning_rate": 8.847257731052676e-06, + "loss": 2.6495, + "step": 1441 + }, + { + "epoch": 0.3, + "learning_rate": 8.844905444644265e-06, + "loss": 2.6498, + "step": 1442 + }, + { + "epoch": 0.3, + "learning_rate": 8.842551074032433e-06, + "loss": 2.7026, + "step": 1443 + }, + { + "epoch": 0.3, + "learning_rate": 8.840194620493414e-06, + "loss": 2.6859, + "step": 1444 + }, + { + "epoch": 0.3, + "learning_rate": 8.837836085304568e-06, + "loss": 2.7629, + "step": 1445 + }, + { + "epoch": 0.3, + "learning_rate": 8.83547546974438e-06, + "loss": 2.6012, + "step": 1446 + }, + { + "epoch": 0.3, + "learning_rate": 8.83311277509247e-06, + "loss": 2.6702, + "step": 1447 + }, + { + "epoch": 0.3, + "learning_rate": 8.83074800262958e-06, + "loss": 2.6835, + "step": 1448 + }, + { + "epoch": 0.3, + "learning_rate": 8.828381153637577e-06, + "loss": 2.6605, + "step": 1449 + }, + { + "epoch": 0.3, + "learning_rate": 8.82601222939946e-06, + "loss": 2.6116, + "step": 1450 + }, + { + "epoch": 0.3, + "learning_rate": 8.823641231199347e-06, + "loss": 2.5983, + "step": 1451 + }, + { + "epoch": 0.3, + "learning_rate": 8.821268160322482e-06, + "loss": 2.6506, + "step": 1452 + }, + { + "epoch": 0.3, + "learning_rate": 8.818893018055234e-06, + "loss": 2.6183, + "step": 1453 + }, + { + "epoch": 0.3, + "learning_rate": 8.816515805685094e-06, + "loss": 2.6505, + "step": 1454 + }, + { + "epoch": 0.31, + "learning_rate": 8.814136524500671e-06, + "loss": 2.6911, + "step": 1455 + }, + { + "epoch": 0.31, + "learning_rate": 8.811755175791703e-06, + "loss": 2.639, + "step": 1456 + }, + { + "epoch": 0.31, + "learning_rate": 8.809371760849044e-06, + "loss": 2.6918, + "step": 1457 + }, + { + "epoch": 0.31, + "learning_rate": 8.806986280964668e-06, + "loss": 2.6201, + "step": 1458 + }, + { + "epoch": 0.31, + "learning_rate": 8.80459873743167e-06, + "loss": 2.6729, + "step": 1459 + }, + { + "epoch": 0.31, + "learning_rate": 8.802209131544264e-06, + "loss": 2.672, + "step": 1460 + }, + { + "epoch": 0.31, + "learning_rate": 8.799817464597778e-06, + "loss": 2.648, + "step": 1461 + }, + { + "epoch": 0.31, + "learning_rate": 8.797423737888662e-06, + "loss": 2.7209, + "step": 1462 + }, + { + "epoch": 0.31, + "learning_rate": 8.795027952714482e-06, + "loss": 2.7344, + "step": 1463 + }, + { + "epoch": 0.31, + "learning_rate": 8.792630110373917e-06, + "loss": 2.7296, + "step": 1464 + }, + { + "epoch": 0.31, + "learning_rate": 8.79023021216676e-06, + "loss": 2.6873, + "step": 1465 + }, + { + "epoch": 0.31, + "learning_rate": 8.787828259393927e-06, + "loss": 2.6339, + "step": 1466 + }, + { + "epoch": 0.31, + "learning_rate": 8.785424253357436e-06, + "loss": 2.5271, + "step": 1467 + }, + { + "epoch": 0.31, + "learning_rate": 8.783018195360426e-06, + "loss": 2.6558, + "step": 1468 + }, + { + "epoch": 0.31, + "learning_rate": 8.780610086707149e-06, + "loss": 2.6779, + "step": 1469 + }, + { + "epoch": 0.31, + "learning_rate": 8.77819992870296e-06, + "loss": 2.7185, + "step": 1470 + }, + { + "epoch": 0.31, + "learning_rate": 8.775787722654336e-06, + "loss": 2.6765, + "step": 1471 + }, + { + "epoch": 0.31, + "learning_rate": 8.773373469868853e-06, + "loss": 2.6331, + "step": 1472 + }, + { + "epoch": 0.31, + "learning_rate": 8.770957171655208e-06, + "loss": 2.6428, + "step": 1473 + }, + { + "epoch": 0.31, + "learning_rate": 8.768538829323196e-06, + "loss": 2.7035, + "step": 1474 + }, + { + "epoch": 0.31, + "learning_rate": 8.766118444183728e-06, + "loss": 2.754, + "step": 1475 + }, + { + "epoch": 0.31, + "learning_rate": 8.763696017548821e-06, + "loss": 2.5954, + "step": 1476 + }, + { + "epoch": 0.31, + "learning_rate": 8.761271550731592e-06, + "loss": 2.6181, + "step": 1477 + }, + { + "epoch": 0.31, + "learning_rate": 8.758845045046274e-06, + "loss": 2.7423, + "step": 1478 + }, + { + "epoch": 0.31, + "learning_rate": 8.756416501808197e-06, + "loss": 2.6996, + "step": 1479 + }, + { + "epoch": 0.31, + "learning_rate": 8.753985922333797e-06, + "loss": 2.6623, + "step": 1480 + }, + { + "epoch": 0.31, + "learning_rate": 8.75155330794062e-06, + "loss": 2.6714, + "step": 1481 + }, + { + "epoch": 0.31, + "learning_rate": 8.749118659947306e-06, + "loss": 2.6587, + "step": 1482 + }, + { + "epoch": 0.31, + "learning_rate": 8.746681979673604e-06, + "loss": 2.7045, + "step": 1483 + }, + { + "epoch": 0.31, + "learning_rate": 8.744243268440365e-06, + "loss": 2.6487, + "step": 1484 + }, + { + "epoch": 0.31, + "learning_rate": 8.741802527569533e-06, + "loss": 2.6699, + "step": 1485 + }, + { + "epoch": 0.31, + "learning_rate": 8.739359758384162e-06, + "loss": 2.7491, + "step": 1486 + }, + { + "epoch": 0.31, + "learning_rate": 8.736914962208399e-06, + "loss": 2.7266, + "step": 1487 + }, + { + "epoch": 0.31, + "learning_rate": 8.734468140367491e-06, + "loss": 2.6592, + "step": 1488 + }, + { + "epoch": 0.31, + "learning_rate": 8.732019294187786e-06, + "loss": 2.7114, + "step": 1489 + }, + { + "epoch": 0.31, + "learning_rate": 8.729568424996726e-06, + "loss": 2.7128, + "step": 1490 + }, + { + "epoch": 0.31, + "learning_rate": 8.727115534122852e-06, + "loss": 2.6631, + "step": 1491 + }, + { + "epoch": 0.31, + "learning_rate": 8.724660622895797e-06, + "loss": 2.6534, + "step": 1492 + }, + { + "epoch": 0.31, + "learning_rate": 8.722203692646294e-06, + "loss": 2.6957, + "step": 1493 + }, + { + "epoch": 0.31, + "learning_rate": 8.719744744706169e-06, + "loss": 2.7018, + "step": 1494 + }, + { + "epoch": 0.31, + "learning_rate": 8.717283780408338e-06, + "loss": 2.7114, + "step": 1495 + }, + { + "epoch": 0.31, + "learning_rate": 8.714820801086817e-06, + "loss": 2.6762, + "step": 1496 + }, + { + "epoch": 0.31, + "learning_rate": 8.712355808076708e-06, + "loss": 2.6392, + "step": 1497 + }, + { + "epoch": 0.31, + "learning_rate": 8.709888802714206e-06, + "loss": 2.6712, + "step": 1498 + }, + { + "epoch": 0.31, + "learning_rate": 8.7074197863366e-06, + "loss": 2.6381, + "step": 1499 + }, + { + "epoch": 0.31, + "learning_rate": 8.704948760282265e-06, + "loss": 2.6523, + "step": 1500 + }, + { + "epoch": 0.31, + "learning_rate": 8.70247572589067e-06, + "loss": 2.7332, + "step": 1501 + }, + { + "epoch": 0.32, + "learning_rate": 8.700000684502366e-06, + "loss": 2.6975, + "step": 1502 + }, + { + "epoch": 0.32, + "learning_rate": 8.697523637458997e-06, + "loss": 2.6678, + "step": 1503 + }, + { + "epoch": 0.32, + "learning_rate": 8.695044586103297e-06, + "loss": 2.6539, + "step": 1504 + }, + { + "epoch": 0.32, + "learning_rate": 8.692563531779078e-06, + "loss": 2.6177, + "step": 1505 + }, + { + "epoch": 0.32, + "learning_rate": 8.690080475831241e-06, + "loss": 2.6783, + "step": 1506 + }, + { + "epoch": 0.32, + "learning_rate": 8.687595419605776e-06, + "loss": 2.6902, + "step": 1507 + }, + { + "epoch": 0.32, + "learning_rate": 8.685108364449757e-06, + "loss": 2.6495, + "step": 1508 + }, + { + "epoch": 0.32, + "learning_rate": 8.682619311711334e-06, + "loss": 2.6527, + "step": 1509 + }, + { + "epoch": 0.32, + "learning_rate": 8.680128262739747e-06, + "loss": 2.701, + "step": 1510 + }, + { + "epoch": 0.32, + "learning_rate": 8.677635218885318e-06, + "loss": 2.617, + "step": 1511 + }, + { + "epoch": 0.32, + "learning_rate": 8.675140181499445e-06, + "loss": 2.633, + "step": 1512 + }, + { + "epoch": 0.32, + "learning_rate": 8.672643151934614e-06, + "loss": 2.6509, + "step": 1513 + }, + { + "epoch": 0.32, + "learning_rate": 8.670144131544382e-06, + "loss": 2.5992, + "step": 1514 + }, + { + "epoch": 0.32, + "learning_rate": 8.667643121683394e-06, + "loss": 2.6028, + "step": 1515 + }, + { + "epoch": 0.32, + "learning_rate": 8.665140123707367e-06, + "loss": 2.7006, + "step": 1516 + }, + { + "epoch": 0.32, + "learning_rate": 8.662635138973099e-06, + "loss": 2.613, + "step": 1517 + }, + { + "epoch": 0.32, + "learning_rate": 8.660128168838466e-06, + "loss": 2.698, + "step": 1518 + }, + { + "epoch": 0.32, + "learning_rate": 8.657619214662417e-06, + "loss": 2.6123, + "step": 1519 + }, + { + "epoch": 0.32, + "learning_rate": 8.655108277804975e-06, + "loss": 2.6534, + "step": 1520 + }, + { + "epoch": 0.32, + "learning_rate": 8.652595359627245e-06, + "loss": 2.6914, + "step": 1521 + }, + { + "epoch": 0.32, + "learning_rate": 8.6500804614914e-06, + "loss": 2.7337, + "step": 1522 + }, + { + "epoch": 0.32, + "learning_rate": 8.647563584760688e-06, + "loss": 2.653, + "step": 1523 + }, + { + "epoch": 0.32, + "learning_rate": 8.64504473079943e-06, + "loss": 2.778, + "step": 1524 + }, + { + "epoch": 0.32, + "learning_rate": 8.642523900973017e-06, + "loss": 2.6736, + "step": 1525 + }, + { + "epoch": 0.32, + "learning_rate": 8.640001096647912e-06, + "loss": 2.7049, + "step": 1526 + }, + { + "epoch": 0.32, + "learning_rate": 8.637476319191651e-06, + "loss": 2.7113, + "step": 1527 + }, + { + "epoch": 0.32, + "learning_rate": 8.634949569972834e-06, + "loss": 2.6911, + "step": 1528 + }, + { + "epoch": 0.32, + "learning_rate": 8.632420850361136e-06, + "loss": 2.7148, + "step": 1529 + }, + { + "epoch": 0.32, + "learning_rate": 8.629890161727295e-06, + "loss": 2.6324, + "step": 1530 + }, + { + "epoch": 0.32, + "learning_rate": 8.627357505443119e-06, + "loss": 2.7331, + "step": 1531 + }, + { + "epoch": 0.32, + "learning_rate": 8.624822882881483e-06, + "loss": 2.6577, + "step": 1532 + }, + { + "epoch": 0.32, + "learning_rate": 8.622286295416324e-06, + "loss": 2.613, + "step": 1533 + }, + { + "epoch": 0.32, + "learning_rate": 8.619747744422651e-06, + "loss": 2.7145, + "step": 1534 + }, + { + "epoch": 0.32, + "learning_rate": 8.617207231276532e-06, + "loss": 2.6564, + "step": 1535 + }, + { + "epoch": 0.32, + "learning_rate": 8.614664757355098e-06, + "loss": 2.7064, + "step": 1536 + }, + { + "epoch": 0.32, + "learning_rate": 8.612120324036548e-06, + "loss": 2.717, + "step": 1537 + }, + { + "epoch": 0.32, + "learning_rate": 8.609573932700138e-06, + "loss": 2.6624, + "step": 1538 + }, + { + "epoch": 0.32, + "learning_rate": 8.607025584726187e-06, + "loss": 2.7029, + "step": 1539 + }, + { + "epoch": 0.32, + "learning_rate": 8.604475281496076e-06, + "loss": 2.6576, + "step": 1540 + }, + { + "epoch": 0.32, + "learning_rate": 8.601923024392244e-06, + "loss": 2.6764, + "step": 1541 + }, + { + "epoch": 0.32, + "learning_rate": 8.599368814798192e-06, + "loss": 2.6414, + "step": 1542 + }, + { + "epoch": 0.32, + "learning_rate": 8.596812654098476e-06, + "loss": 2.6247, + "step": 1543 + }, + { + "epoch": 0.32, + "learning_rate": 8.594254543678711e-06, + "loss": 2.6527, + "step": 1544 + }, + { + "epoch": 0.32, + "learning_rate": 8.591694484925567e-06, + "loss": 2.7001, + "step": 1545 + }, + { + "epoch": 0.32, + "learning_rate": 8.589132479226777e-06, + "loss": 2.5875, + "step": 1546 + }, + { + "epoch": 0.32, + "learning_rate": 8.586568527971122e-06, + "loss": 2.6461, + "step": 1547 + }, + { + "epoch": 0.32, + "learning_rate": 8.584002632548438e-06, + "loss": 2.676, + "step": 1548 + }, + { + "epoch": 0.32, + "learning_rate": 8.581434794349619e-06, + "loss": 2.6258, + "step": 1549 + }, + { + "epoch": 0.33, + "learning_rate": 8.578865014766611e-06, + "loss": 2.6882, + "step": 1550 + }, + { + "epoch": 0.33, + "learning_rate": 8.576293295192409e-06, + "loss": 2.7454, + "step": 1551 + }, + { + "epoch": 0.33, + "learning_rate": 8.573719637021063e-06, + "loss": 2.6508, + "step": 1552 + }, + { + "epoch": 0.33, + "learning_rate": 8.571144041647674e-06, + "loss": 2.6134, + "step": 1553 + }, + { + "epoch": 0.33, + "learning_rate": 8.568566510468392e-06, + "loss": 2.6368, + "step": 1554 + }, + { + "epoch": 0.33, + "learning_rate": 8.565987044880413e-06, + "loss": 2.619, + "step": 1555 + }, + { + "epoch": 0.33, + "learning_rate": 8.563405646281989e-06, + "loss": 2.6691, + "step": 1556 + }, + { + "epoch": 0.33, + "learning_rate": 8.560822316072414e-06, + "loss": 2.686, + "step": 1557 + }, + { + "epoch": 0.33, + "learning_rate": 8.55823705565203e-06, + "loss": 2.7224, + "step": 1558 + }, + { + "epoch": 0.33, + "learning_rate": 8.555649866422227e-06, + "loss": 2.6593, + "step": 1559 + }, + { + "epoch": 0.33, + "learning_rate": 8.55306074978544e-06, + "loss": 2.5605, + "step": 1560 + }, + { + "epoch": 0.33, + "learning_rate": 8.550469707145148e-06, + "loss": 2.627, + "step": 1561 + }, + { + "epoch": 0.33, + "learning_rate": 8.547876739905874e-06, + "loss": 2.6356, + "step": 1562 + }, + { + "epoch": 0.33, + "learning_rate": 8.545281849473187e-06, + "loss": 2.664, + "step": 1563 + }, + { + "epoch": 0.33, + "learning_rate": 8.542685037253693e-06, + "loss": 2.6619, + "step": 1564 + }, + { + "epoch": 0.33, + "learning_rate": 8.540086304655045e-06, + "loss": 2.68, + "step": 1565 + }, + { + "epoch": 0.33, + "learning_rate": 8.537485653085934e-06, + "loss": 2.65, + "step": 1566 + }, + { + "epoch": 0.33, + "learning_rate": 8.534883083956093e-06, + "loss": 2.664, + "step": 1567 + }, + { + "epoch": 0.33, + "learning_rate": 8.532278598676293e-06, + "loss": 2.6295, + "step": 1568 + }, + { + "epoch": 0.33, + "learning_rate": 8.529672198658344e-06, + "loss": 2.6903, + "step": 1569 + }, + { + "epoch": 0.33, + "learning_rate": 8.527063885315096e-06, + "loss": 2.6812, + "step": 1570 + }, + { + "epoch": 0.33, + "learning_rate": 8.524453660060434e-06, + "loss": 2.7074, + "step": 1571 + }, + { + "epoch": 0.33, + "learning_rate": 8.521841524309279e-06, + "loss": 2.6716, + "step": 1572 + }, + { + "epoch": 0.33, + "learning_rate": 8.519227479477584e-06, + "loss": 2.6936, + "step": 1573 + }, + { + "epoch": 0.33, + "learning_rate": 8.516611526982349e-06, + "loss": 2.72, + "step": 1574 + }, + { + "epoch": 0.33, + "learning_rate": 8.513993668241596e-06, + "loss": 2.6247, + "step": 1575 + }, + { + "epoch": 0.33, + "learning_rate": 8.511373904674385e-06, + "loss": 2.7139, + "step": 1576 + }, + { + "epoch": 0.33, + "learning_rate": 8.50875223770081e-06, + "loss": 2.7333, + "step": 1577 + }, + { + "epoch": 0.33, + "learning_rate": 8.506128668741993e-06, + "loss": 2.6082, + "step": 1578 + }, + { + "epoch": 0.33, + "learning_rate": 8.503503199220088e-06, + "loss": 2.6571, + "step": 1579 + }, + { + "epoch": 0.33, + "learning_rate": 8.500875830558284e-06, + "loss": 2.6715, + "step": 1580 + }, + { + "epoch": 0.33, + "learning_rate": 8.498246564180793e-06, + "loss": 2.6698, + "step": 1581 + }, + { + "epoch": 0.33, + "learning_rate": 8.49561540151286e-06, + "loss": 2.5837, + "step": 1582 + }, + { + "epoch": 0.33, + "learning_rate": 8.492982343980753e-06, + "loss": 2.598, + "step": 1583 + }, + { + "epoch": 0.33, + "learning_rate": 8.490347393011772e-06, + "loss": 2.687, + "step": 1584 + }, + { + "epoch": 0.33, + "learning_rate": 8.487710550034245e-06, + "loss": 2.6542, + "step": 1585 + }, + { + "epoch": 0.33, + "learning_rate": 8.48507181647752e-06, + "loss": 2.7626, + "step": 1586 + }, + { + "epoch": 0.33, + "learning_rate": 8.48243119377197e-06, + "loss": 2.6556, + "step": 1587 + }, + { + "epoch": 0.33, + "learning_rate": 8.479788683348996e-06, + "loss": 2.6449, + "step": 1588 + }, + { + "epoch": 0.33, + "learning_rate": 8.47714428664102e-06, + "loss": 2.6797, + "step": 1589 + }, + { + "epoch": 0.33, + "learning_rate": 8.47449800508149e-06, + "loss": 2.7321, + "step": 1590 + }, + { + "epoch": 0.33, + "learning_rate": 8.471849840104871e-06, + "loss": 2.6969, + "step": 1591 + }, + { + "epoch": 0.33, + "learning_rate": 8.46919979314665e-06, + "loss": 2.6974, + "step": 1592 + }, + { + "epoch": 0.33, + "learning_rate": 8.466547865643335e-06, + "loss": 2.6639, + "step": 1593 + }, + { + "epoch": 0.33, + "learning_rate": 8.463894059032453e-06, + "loss": 2.6792, + "step": 1594 + }, + { + "epoch": 0.33, + "learning_rate": 8.46123837475255e-06, + "loss": 2.6534, + "step": 1595 + }, + { + "epoch": 0.33, + "learning_rate": 8.458580814243191e-06, + "loss": 2.6624, + "step": 1596 + }, + { + "epoch": 0.33, + "learning_rate": 8.455921378944955e-06, + "loss": 2.7106, + "step": 1597 + }, + { + "epoch": 0.34, + "learning_rate": 8.45326007029944e-06, + "loss": 2.6003, + "step": 1598 + }, + { + "epoch": 0.34, + "learning_rate": 8.450596889749258e-06, + "loss": 2.6843, + "step": 1599 + }, + { + "epoch": 0.34, + "learning_rate": 8.447931838738037e-06, + "loss": 2.6554, + "step": 1600 + }, + { + "epoch": 0.34, + "learning_rate": 8.445264918710417e-06, + "loss": 2.6698, + "step": 1601 + }, + { + "epoch": 0.34, + "learning_rate": 8.442596131112052e-06, + "loss": 2.6093, + "step": 1602 + }, + { + "epoch": 0.34, + "learning_rate": 8.439925477389611e-06, + "loss": 2.6333, + "step": 1603 + }, + { + "epoch": 0.34, + "learning_rate": 8.43725295899077e-06, + "loss": 2.7173, + "step": 1604 + }, + { + "epoch": 0.34, + "learning_rate": 8.434578577364218e-06, + "loss": 2.6105, + "step": 1605 + }, + { + "epoch": 0.34, + "learning_rate": 8.431902333959655e-06, + "loss": 2.6719, + "step": 1606 + }, + { + "epoch": 0.34, + "learning_rate": 8.429224230227788e-06, + "loss": 2.676, + "step": 1607 + }, + { + "epoch": 0.34, + "learning_rate": 8.426544267620334e-06, + "loss": 2.7163, + "step": 1608 + }, + { + "epoch": 0.34, + "learning_rate": 8.42386244759002e-06, + "loss": 2.6704, + "step": 1609 + }, + { + "epoch": 0.34, + "learning_rate": 8.421178771590568e-06, + "loss": 2.6502, + "step": 1610 + }, + { + "epoch": 0.34, + "learning_rate": 8.418493241076725e-06, + "loss": 2.7562, + "step": 1611 + }, + { + "epoch": 0.34, + "learning_rate": 8.415805857504231e-06, + "loss": 2.6821, + "step": 1612 + }, + { + "epoch": 0.34, + "learning_rate": 8.41311662232983e-06, + "loss": 2.605, + "step": 1613 + }, + { + "epoch": 0.34, + "learning_rate": 8.410425537011277e-06, + "loss": 2.6674, + "step": 1614 + }, + { + "epoch": 0.34, + "learning_rate": 8.40773260300732e-06, + "loss": 2.6694, + "step": 1615 + }, + { + "epoch": 0.34, + "learning_rate": 8.40503782177772e-06, + "loss": 2.6513, + "step": 1616 + }, + { + "epoch": 0.34, + "learning_rate": 8.40234119478323e-06, + "loss": 2.6336, + "step": 1617 + }, + { + "epoch": 0.34, + "learning_rate": 8.399642723485607e-06, + "loss": 2.6359, + "step": 1618 + }, + { + "epoch": 0.34, + "learning_rate": 8.396942409347612e-06, + "loss": 2.717, + "step": 1619 + }, + { + "epoch": 0.34, + "learning_rate": 8.394240253832999e-06, + "loss": 2.5842, + "step": 1620 + }, + { + "epoch": 0.34, + "learning_rate": 8.391536258406523e-06, + "loss": 2.621, + "step": 1621 + }, + { + "epoch": 0.34, + "learning_rate": 8.388830424533935e-06, + "loss": 2.7619, + "step": 1622 + }, + { + "epoch": 0.34, + "learning_rate": 8.386122753681983e-06, + "loss": 2.6438, + "step": 1623 + }, + { + "epoch": 0.34, + "learning_rate": 8.38341324731841e-06, + "loss": 2.6127, + "step": 1624 + }, + { + "epoch": 0.34, + "learning_rate": 8.380701906911956e-06, + "loss": 2.6537, + "step": 1625 + }, + { + "epoch": 0.34, + "learning_rate": 8.377988733932357e-06, + "loss": 2.6518, + "step": 1626 + }, + { + "epoch": 0.34, + "learning_rate": 8.375273729850336e-06, + "loss": 2.6776, + "step": 1627 + }, + { + "epoch": 0.34, + "learning_rate": 8.372556896137612e-06, + "loss": 2.593, + "step": 1628 + }, + { + "epoch": 0.34, + "learning_rate": 8.369838234266899e-06, + "loss": 2.7141, + "step": 1629 + }, + { + "epoch": 0.34, + "learning_rate": 8.367117745711894e-06, + "loss": 2.5916, + "step": 1630 + }, + { + "epoch": 0.34, + "learning_rate": 8.364395431947293e-06, + "loss": 2.6253, + "step": 1631 + }, + { + "epoch": 0.34, + "learning_rate": 8.361671294448777e-06, + "loss": 2.6652, + "step": 1632 + }, + { + "epoch": 0.34, + "learning_rate": 8.358945334693014e-06, + "loss": 2.7834, + "step": 1633 + }, + { + "epoch": 0.34, + "learning_rate": 8.356217554157665e-06, + "loss": 2.6706, + "step": 1634 + }, + { + "epoch": 0.34, + "learning_rate": 8.353487954321371e-06, + "loss": 2.7517, + "step": 1635 + }, + { + "epoch": 0.34, + "learning_rate": 8.350756536663766e-06, + "loss": 2.6595, + "step": 1636 + }, + { + "epoch": 0.34, + "learning_rate": 8.348023302665465e-06, + "loss": 2.635, + "step": 1637 + }, + { + "epoch": 0.34, + "learning_rate": 8.345288253808071e-06, + "loss": 2.654, + "step": 1638 + }, + { + "epoch": 0.34, + "learning_rate": 8.342551391574165e-06, + "loss": 2.6327, + "step": 1639 + }, + { + "epoch": 0.34, + "learning_rate": 8.339812717447317e-06, + "loss": 2.5993, + "step": 1640 + }, + { + "epoch": 0.34, + "learning_rate": 8.337072232912079e-06, + "loss": 2.6868, + "step": 1641 + }, + { + "epoch": 0.34, + "learning_rate": 8.334329939453978e-06, + "loss": 2.6698, + "step": 1642 + }, + { + "epoch": 0.34, + "learning_rate": 8.331585838559528e-06, + "loss": 2.6223, + "step": 1643 + }, + { + "epoch": 0.34, + "learning_rate": 8.328839931716219e-06, + "loss": 2.642, + "step": 1644 + }, + { + "epoch": 0.35, + "learning_rate": 8.326092220412526e-06, + "loss": 2.6088, + "step": 1645 + }, + { + "epoch": 0.35, + "learning_rate": 8.323342706137894e-06, + "loss": 2.7032, + "step": 1646 + }, + { + "epoch": 0.35, + "learning_rate": 8.320591390382749e-06, + "loss": 2.6657, + "step": 1647 + }, + { + "epoch": 0.35, + "learning_rate": 8.317838274638493e-06, + "loss": 2.7056, + "step": 1648 + }, + { + "epoch": 0.35, + "learning_rate": 8.315083360397507e-06, + "loss": 2.5988, + "step": 1649 + }, + { + "epoch": 0.35, + "learning_rate": 8.312326649153141e-06, + "loss": 2.6406, + "step": 1650 + }, + { + "epoch": 0.35, + "learning_rate": 8.309568142399725e-06, + "loss": 2.5961, + "step": 1651 + }, + { + "epoch": 0.35, + "learning_rate": 8.306807841632559e-06, + "loss": 2.6201, + "step": 1652 + }, + { + "epoch": 0.35, + "learning_rate": 8.304045748347914e-06, + "loss": 2.6196, + "step": 1653 + }, + { + "epoch": 0.35, + "learning_rate": 8.301281864043035e-06, + "loss": 2.6613, + "step": 1654 + }, + { + "epoch": 0.35, + "learning_rate": 8.29851619021614e-06, + "loss": 2.6631, + "step": 1655 + }, + { + "epoch": 0.35, + "learning_rate": 8.295748728366414e-06, + "loss": 2.6293, + "step": 1656 + }, + { + "epoch": 0.35, + "learning_rate": 8.292979479994009e-06, + "loss": 2.6627, + "step": 1657 + }, + { + "epoch": 0.35, + "learning_rate": 8.290208446600052e-06, + "loss": 2.6828, + "step": 1658 + }, + { + "epoch": 0.35, + "learning_rate": 8.287435629686631e-06, + "loss": 2.6419, + "step": 1659 + }, + { + "epoch": 0.35, + "learning_rate": 8.284661030756804e-06, + "loss": 2.6758, + "step": 1660 + }, + { + "epoch": 0.35, + "learning_rate": 8.281884651314598e-06, + "loss": 2.7242, + "step": 1661 + }, + { + "epoch": 0.35, + "learning_rate": 8.279106492864997e-06, + "loss": 2.6083, + "step": 1662 + }, + { + "epoch": 0.35, + "learning_rate": 8.276326556913958e-06, + "loss": 2.6836, + "step": 1663 + }, + { + "epoch": 0.35, + "learning_rate": 8.273544844968393e-06, + "loss": 2.6749, + "step": 1664 + }, + { + "epoch": 0.35, + "learning_rate": 8.270761358536187e-06, + "loss": 2.6919, + "step": 1665 + }, + { + "epoch": 0.35, + "learning_rate": 8.267976099126178e-06, + "loss": 2.6537, + "step": 1666 + }, + { + "epoch": 0.35, + "learning_rate": 8.265189068248167e-06, + "loss": 2.7961, + "step": 1667 + }, + { + "epoch": 0.35, + "learning_rate": 8.26240026741292e-06, + "loss": 2.6711, + "step": 1668 + }, + { + "epoch": 0.35, + "learning_rate": 8.259609698132159e-06, + "loss": 2.6726, + "step": 1669 + }, + { + "epoch": 0.35, + "learning_rate": 8.256817361918559e-06, + "loss": 2.6767, + "step": 1670 + }, + { + "epoch": 0.35, + "learning_rate": 8.254023260285765e-06, + "loss": 2.5824, + "step": 1671 + }, + { + "epoch": 0.35, + "learning_rate": 8.25122739474837e-06, + "loss": 2.6784, + "step": 1672 + }, + { + "epoch": 0.35, + "learning_rate": 8.248429766821925e-06, + "loss": 2.6351, + "step": 1673 + }, + { + "epoch": 0.35, + "learning_rate": 8.245630378022937e-06, + "loss": 2.7051, + "step": 1674 + }, + { + "epoch": 0.35, + "learning_rate": 8.24282922986887e-06, + "loss": 2.6769, + "step": 1675 + }, + { + "epoch": 0.35, + "learning_rate": 8.240026323878135e-06, + "loss": 2.7062, + "step": 1676 + }, + { + "epoch": 0.35, + "learning_rate": 8.237221661570102e-06, + "loss": 2.6614, + "step": 1677 + }, + { + "epoch": 0.35, + "learning_rate": 8.23441524446509e-06, + "loss": 2.659, + "step": 1678 + }, + { + "epoch": 0.35, + "learning_rate": 8.231607074084373e-06, + "loss": 2.6858, + "step": 1679 + }, + { + "epoch": 0.35, + "learning_rate": 8.228797151950172e-06, + "loss": 2.7062, + "step": 1680 + }, + { + "epoch": 0.35, + "learning_rate": 8.225985479585655e-06, + "loss": 2.7473, + "step": 1681 + }, + { + "epoch": 0.35, + "learning_rate": 8.223172058514945e-06, + "loss": 2.6338, + "step": 1682 + }, + { + "epoch": 0.35, + "learning_rate": 8.220356890263108e-06, + "loss": 2.6745, + "step": 1683 + }, + { + "epoch": 0.35, + "learning_rate": 8.21753997635616e-06, + "loss": 2.6657, + "step": 1684 + }, + { + "epoch": 0.35, + "learning_rate": 8.214721318321064e-06, + "loss": 2.676, + "step": 1685 + }, + { + "epoch": 0.35, + "learning_rate": 8.211900917685722e-06, + "loss": 2.6527, + "step": 1686 + }, + { + "epoch": 0.35, + "learning_rate": 8.20907877597899e-06, + "loss": 2.6874, + "step": 1687 + }, + { + "epoch": 0.35, + "learning_rate": 8.20625489473066e-06, + "loss": 2.5794, + "step": 1688 + }, + { + "epoch": 0.35, + "learning_rate": 8.203429275471473e-06, + "loss": 2.6683, + "step": 1689 + }, + { + "epoch": 0.35, + "learning_rate": 8.200601919733106e-06, + "loss": 2.6924, + "step": 1690 + }, + { + "epoch": 0.35, + "learning_rate": 8.197772829048183e-06, + "loss": 2.5881, + "step": 1691 + }, + { + "epoch": 0.35, + "learning_rate": 8.194942004950264e-06, + "loss": 2.647, + "step": 1692 + }, + { + "epoch": 0.36, + "learning_rate": 8.192109448973851e-06, + "loss": 2.6932, + "step": 1693 + }, + { + "epoch": 0.36, + "learning_rate": 8.189275162654385e-06, + "loss": 2.7064, + "step": 1694 + }, + { + "epoch": 0.36, + "learning_rate": 8.186439147528244e-06, + "loss": 2.5796, + "step": 1695 + }, + { + "epoch": 0.36, + "learning_rate": 8.183601405132743e-06, + "loss": 2.6001, + "step": 1696 + }, + { + "epoch": 0.36, + "learning_rate": 8.180761937006133e-06, + "loss": 2.6172, + "step": 1697 + }, + { + "epoch": 0.36, + "learning_rate": 8.177920744687604e-06, + "loss": 2.645, + "step": 1698 + }, + { + "epoch": 0.36, + "learning_rate": 8.175077829717276e-06, + "loss": 2.5924, + "step": 1699 + }, + { + "epoch": 0.36, + "learning_rate": 8.172233193636204e-06, + "loss": 2.712, + "step": 1700 + }, + { + "epoch": 0.36, + "learning_rate": 8.169386837986375e-06, + "loss": 2.6239, + "step": 1701 + }, + { + "epoch": 0.36, + "learning_rate": 8.166538764310715e-06, + "loss": 2.6057, + "step": 1702 + }, + { + "epoch": 0.36, + "learning_rate": 8.16368897415307e-06, + "loss": 2.6946, + "step": 1703 + }, + { + "epoch": 0.36, + "learning_rate": 8.160837469058228e-06, + "loss": 2.6274, + "step": 1704 + }, + { + "epoch": 0.36, + "learning_rate": 8.157984250571895e-06, + "loss": 2.6925, + "step": 1705 + }, + { + "epoch": 0.36, + "learning_rate": 8.155129320240718e-06, + "loss": 2.6372, + "step": 1706 + }, + { + "epoch": 0.36, + "learning_rate": 8.15227267961226e-06, + "loss": 2.6124, + "step": 1707 + }, + { + "epoch": 0.36, + "learning_rate": 8.149414330235024e-06, + "loss": 2.6529, + "step": 1708 + }, + { + "epoch": 0.36, + "learning_rate": 8.146554273658425e-06, + "loss": 2.6108, + "step": 1709 + }, + { + "epoch": 0.36, + "learning_rate": 8.143692511432814e-06, + "loss": 2.6934, + "step": 1710 + }, + { + "epoch": 0.36, + "learning_rate": 8.140829045109462e-06, + "loss": 2.6159, + "step": 1711 + }, + { + "epoch": 0.36, + "learning_rate": 8.137963876240567e-06, + "loss": 2.6609, + "step": 1712 + }, + { + "epoch": 0.36, + "learning_rate": 8.135097006379245e-06, + "loss": 2.6956, + "step": 1713 + }, + { + "epoch": 0.36, + "learning_rate": 8.132228437079538e-06, + "loss": 2.71, + "step": 1714 + }, + { + "epoch": 0.36, + "learning_rate": 8.129358169896409e-06, + "loss": 2.5948, + "step": 1715 + }, + { + "epoch": 0.36, + "learning_rate": 8.126486206385738e-06, + "loss": 2.7078, + "step": 1716 + }, + { + "epoch": 0.36, + "learning_rate": 8.123612548104328e-06, + "loss": 2.6423, + "step": 1717 + }, + { + "epoch": 0.36, + "learning_rate": 8.1207371966099e-06, + "loss": 2.6635, + "step": 1718 + }, + { + "epoch": 0.36, + "learning_rate": 8.117860153461094e-06, + "loss": 2.662, + "step": 1719 + }, + { + "epoch": 0.36, + "learning_rate": 8.114981420217462e-06, + "loss": 2.72, + "step": 1720 + }, + { + "epoch": 0.36, + "learning_rate": 8.112100998439478e-06, + "loss": 2.6918, + "step": 1721 + }, + { + "epoch": 0.36, + "learning_rate": 8.10921888968853e-06, + "loss": 2.7431, + "step": 1722 + }, + { + "epoch": 0.36, + "learning_rate": 8.106335095526915e-06, + "loss": 2.6987, + "step": 1723 + }, + { + "epoch": 0.36, + "learning_rate": 8.10344961751785e-06, + "loss": 2.6441, + "step": 1724 + }, + { + "epoch": 0.36, + "learning_rate": 8.100562457225465e-06, + "loss": 2.638, + "step": 1725 + }, + { + "epoch": 0.36, + "learning_rate": 8.097673616214799e-06, + "loss": 2.6833, + "step": 1726 + }, + { + "epoch": 0.36, + "learning_rate": 8.094783096051799e-06, + "loss": 2.6006, + "step": 1727 + }, + { + "epoch": 0.36, + "learning_rate": 8.091890898303329e-06, + "loss": 2.6818, + "step": 1728 + }, + { + "epoch": 0.36, + "learning_rate": 8.088997024537157e-06, + "loss": 2.7014, + "step": 1729 + }, + { + "epoch": 0.36, + "learning_rate": 8.086101476321968e-06, + "loss": 2.669, + "step": 1730 + }, + { + "epoch": 0.36, + "learning_rate": 8.08320425522734e-06, + "loss": 2.621, + "step": 1731 + }, + { + "epoch": 0.36, + "learning_rate": 8.080305362823771e-06, + "loss": 2.7584, + "step": 1732 + }, + { + "epoch": 0.36, + "learning_rate": 8.07740480068266e-06, + "loss": 2.6331, + "step": 1733 + }, + { + "epoch": 0.36, + "learning_rate": 8.07450257037631e-06, + "loss": 2.6262, + "step": 1734 + }, + { + "epoch": 0.36, + "learning_rate": 8.071598673477931e-06, + "loss": 2.6734, + "step": 1735 + }, + { + "epoch": 0.36, + "learning_rate": 8.068693111561634e-06, + "loss": 2.6566, + "step": 1736 + }, + { + "epoch": 0.36, + "learning_rate": 8.065785886202435e-06, + "loss": 2.5897, + "step": 1737 + }, + { + "epoch": 0.36, + "learning_rate": 8.062876998976248e-06, + "loss": 2.613, + "step": 1738 + }, + { + "epoch": 0.36, + "learning_rate": 8.05996645145989e-06, + "loss": 2.7281, + "step": 1739 + }, + { + "epoch": 0.36, + "learning_rate": 8.057054245231082e-06, + "loss": 2.6871, + "step": 1740 + }, + { + "epoch": 0.37, + "learning_rate": 8.054140381868435e-06, + "loss": 2.6406, + "step": 1741 + }, + { + "epoch": 0.37, + "learning_rate": 8.05122486295147e-06, + "loss": 2.72, + "step": 1742 + }, + { + "epoch": 0.37, + "learning_rate": 8.048307690060593e-06, + "loss": 2.6778, + "step": 1743 + }, + { + "epoch": 0.37, + "learning_rate": 8.045388864777113e-06, + "loss": 2.6426, + "step": 1744 + }, + { + "epoch": 0.37, + "learning_rate": 8.042468388683239e-06, + "loss": 2.6802, + "step": 1745 + }, + { + "epoch": 0.37, + "learning_rate": 8.039546263362065e-06, + "loss": 2.7086, + "step": 1746 + }, + { + "epoch": 0.37, + "learning_rate": 8.036622490397586e-06, + "loss": 2.649, + "step": 1747 + }, + { + "epoch": 0.37, + "learning_rate": 8.033697071374688e-06, + "loss": 2.6198, + "step": 1748 + }, + { + "epoch": 0.37, + "learning_rate": 8.03077000787915e-06, + "loss": 2.6678, + "step": 1749 + }, + { + "epoch": 0.37, + "learning_rate": 8.027841301497642e-06, + "loss": 2.6505, + "step": 1750 + }, + { + "epoch": 0.37, + "learning_rate": 8.024910953817724e-06, + "loss": 2.6223, + "step": 1751 + }, + { + "epoch": 0.37, + "learning_rate": 8.021978966427845e-06, + "loss": 2.6251, + "step": 1752 + }, + { + "epoch": 0.37, + "learning_rate": 8.019045340917348e-06, + "loss": 2.6015, + "step": 1753 + }, + { + "epoch": 0.37, + "learning_rate": 8.016110078876455e-06, + "loss": 2.6208, + "step": 1754 + }, + { + "epoch": 0.37, + "learning_rate": 8.013173181896283e-06, + "loss": 2.6054, + "step": 1755 + }, + { + "epoch": 0.37, + "learning_rate": 8.01023465156883e-06, + "loss": 2.6896, + "step": 1756 + }, + { + "epoch": 0.37, + "learning_rate": 8.007294489486985e-06, + "loss": 2.6012, + "step": 1757 + }, + { + "epoch": 0.37, + "learning_rate": 8.004352697244516e-06, + "loss": 2.6448, + "step": 1758 + }, + { + "epoch": 0.37, + "learning_rate": 8.00140927643608e-06, + "loss": 2.6736, + "step": 1759 + }, + { + "epoch": 0.37, + "learning_rate": 7.998464228657206e-06, + "loss": 2.7102, + "step": 1760 + }, + { + "epoch": 0.37, + "learning_rate": 7.99551755550432e-06, + "loss": 2.7744, + "step": 1761 + }, + { + "epoch": 0.37, + "learning_rate": 7.99256925857472e-06, + "loss": 2.7509, + "step": 1762 + }, + { + "epoch": 0.37, + "learning_rate": 7.989619339466586e-06, + "loss": 2.6956, + "step": 1763 + }, + { + "epoch": 0.37, + "learning_rate": 7.986667799778975e-06, + "loss": 2.6979, + "step": 1764 + }, + { + "epoch": 0.37, + "learning_rate": 7.983714641111827e-06, + "loss": 2.6856, + "step": 1765 + }, + { + "epoch": 0.37, + "learning_rate": 7.980759865065956e-06, + "loss": 2.656, + "step": 1766 + }, + { + "epoch": 0.37, + "learning_rate": 7.977803473243056e-06, + "loss": 2.677, + "step": 1767 + }, + { + "epoch": 0.37, + "learning_rate": 7.974845467245691e-06, + "loss": 2.6516, + "step": 1768 + }, + { + "epoch": 0.37, + "learning_rate": 7.971885848677307e-06, + "loss": 2.5876, + "step": 1769 + }, + { + "epoch": 0.37, + "learning_rate": 7.968924619142222e-06, + "loss": 2.6851, + "step": 1770 + }, + { + "epoch": 0.37, + "learning_rate": 7.965961780245622e-06, + "loss": 2.6092, + "step": 1771 + }, + { + "epoch": 0.37, + "learning_rate": 7.962997333593574e-06, + "loss": 2.683, + "step": 1772 + }, + { + "epoch": 0.37, + "learning_rate": 7.96003128079301e-06, + "loss": 2.7008, + "step": 1773 + }, + { + "epoch": 0.37, + "learning_rate": 7.957063623451734e-06, + "loss": 2.6507, + "step": 1774 + }, + { + "epoch": 0.37, + "learning_rate": 7.954094363178421e-06, + "loss": 2.6636, + "step": 1775 + }, + { + "epoch": 0.37, + "learning_rate": 7.951123501582617e-06, + "loss": 2.637, + "step": 1776 + }, + { + "epoch": 0.37, + "learning_rate": 7.94815104027473e-06, + "loss": 2.6393, + "step": 1777 + }, + { + "epoch": 0.37, + "learning_rate": 7.945176980866041e-06, + "loss": 2.6263, + "step": 1778 + }, + { + "epoch": 0.37, + "learning_rate": 7.942201324968694e-06, + "loss": 2.6327, + "step": 1779 + }, + { + "epoch": 0.37, + "learning_rate": 7.9392240741957e-06, + "loss": 2.62, + "step": 1780 + }, + { + "epoch": 0.37, + "learning_rate": 7.936245230160932e-06, + "loss": 2.68, + "step": 1781 + }, + { + "epoch": 0.37, + "learning_rate": 7.933264794479133e-06, + "loss": 2.6615, + "step": 1782 + }, + { + "epoch": 0.37, + "learning_rate": 7.930282768765897e-06, + "loss": 2.654, + "step": 1783 + }, + { + "epoch": 0.37, + "learning_rate": 7.927299154637693e-06, + "loss": 2.581, + "step": 1784 + }, + { + "epoch": 0.37, + "learning_rate": 7.924313953711845e-06, + "loss": 2.718, + "step": 1785 + }, + { + "epoch": 0.37, + "learning_rate": 7.921327167606535e-06, + "loss": 2.7044, + "step": 1786 + }, + { + "epoch": 0.37, + "learning_rate": 7.918338797940806e-06, + "loss": 2.6006, + "step": 1787 + }, + { + "epoch": 0.38, + "learning_rate": 7.915348846334563e-06, + "loss": 2.5567, + "step": 1788 + }, + { + "epoch": 0.38, + "learning_rate": 7.912357314408564e-06, + "loss": 2.7048, + "step": 1789 + }, + { + "epoch": 0.38, + "learning_rate": 7.909364203784425e-06, + "loss": 2.6354, + "step": 1790 + }, + { + "epoch": 0.38, + "learning_rate": 7.90636951608462e-06, + "loss": 2.6352, + "step": 1791 + }, + { + "epoch": 0.38, + "learning_rate": 7.903373252932474e-06, + "loss": 2.7186, + "step": 1792 + }, + { + "epoch": 0.38, + "learning_rate": 7.900375415952168e-06, + "loss": 2.5979, + "step": 1793 + }, + { + "epoch": 0.38, + "learning_rate": 7.897376006768736e-06, + "loss": 2.6765, + "step": 1794 + }, + { + "epoch": 0.38, + "learning_rate": 7.894375027008064e-06, + "loss": 2.6503, + "step": 1795 + }, + { + "epoch": 0.38, + "learning_rate": 7.89137247829689e-06, + "loss": 2.6411, + "step": 1796 + }, + { + "epoch": 0.38, + "learning_rate": 7.888368362262805e-06, + "loss": 2.7184, + "step": 1797 + }, + { + "epoch": 0.38, + "learning_rate": 7.88536268053424e-06, + "loss": 2.6076, + "step": 1798 + }, + { + "epoch": 0.38, + "learning_rate": 7.882355434740488e-06, + "loss": 2.6397, + "step": 1799 + }, + { + "epoch": 0.38, + "learning_rate": 7.879346626511679e-06, + "loss": 2.6532, + "step": 1800 + }, + { + "epoch": 0.38, + "learning_rate": 7.876336257478796e-06, + "loss": 2.605, + "step": 1801 + }, + { + "epoch": 0.38, + "learning_rate": 7.873324329273665e-06, + "loss": 2.694, + "step": 1802 + }, + { + "epoch": 0.38, + "learning_rate": 7.870310843528962e-06, + "loss": 2.6863, + "step": 1803 + }, + { + "epoch": 0.38, + "learning_rate": 7.867295801878202e-06, + "loss": 2.6529, + "step": 1804 + }, + { + "epoch": 0.38, + "learning_rate": 7.864279205955739e-06, + "loss": 2.6881, + "step": 1805 + }, + { + "epoch": 0.38, + "learning_rate": 7.861261057396786e-06, + "loss": 2.6238, + "step": 1806 + }, + { + "epoch": 0.38, + "learning_rate": 7.858241357837377e-06, + "loss": 2.6004, + "step": 1807 + }, + { + "epoch": 0.38, + "learning_rate": 7.855220108914405e-06, + "loss": 2.6759, + "step": 1808 + }, + { + "epoch": 0.38, + "learning_rate": 7.852197312265592e-06, + "loss": 2.6248, + "step": 1809 + }, + { + "epoch": 0.38, + "learning_rate": 7.849172969529501e-06, + "loss": 2.6296, + "step": 1810 + }, + { + "epoch": 0.38, + "learning_rate": 7.846147082345536e-06, + "loss": 2.6458, + "step": 1811 + }, + { + "epoch": 0.38, + "learning_rate": 7.843119652353934e-06, + "loss": 2.6932, + "step": 1812 + }, + { + "epoch": 0.38, + "learning_rate": 7.840090681195772e-06, + "loss": 2.6091, + "step": 1813 + }, + { + "epoch": 0.38, + "learning_rate": 7.83706017051296e-06, + "loss": 2.6635, + "step": 1814 + }, + { + "epoch": 0.38, + "learning_rate": 7.834028121948243e-06, + "loss": 2.5826, + "step": 1815 + }, + { + "epoch": 0.38, + "learning_rate": 7.830994537145202e-06, + "loss": 2.6633, + "step": 1816 + }, + { + "epoch": 0.38, + "learning_rate": 7.827959417748247e-06, + "loss": 2.6492, + "step": 1817 + }, + { + "epoch": 0.38, + "learning_rate": 7.824922765402622e-06, + "loss": 2.6941, + "step": 1818 + }, + { + "epoch": 0.38, + "learning_rate": 7.821884581754402e-06, + "loss": 2.6516, + "step": 1819 + }, + { + "epoch": 0.38, + "learning_rate": 7.81884486845049e-06, + "loss": 2.6678, + "step": 1820 + }, + { + "epoch": 0.38, + "learning_rate": 7.815803627138622e-06, + "loss": 2.7208, + "step": 1821 + }, + { + "epoch": 0.38, + "learning_rate": 7.81276085946736e-06, + "loss": 2.7257, + "step": 1822 + }, + { + "epoch": 0.38, + "learning_rate": 7.809716567086093e-06, + "loss": 2.6074, + "step": 1823 + }, + { + "epoch": 0.38, + "learning_rate": 7.806670751645037e-06, + "loss": 2.5826, + "step": 1824 + }, + { + "epoch": 0.38, + "learning_rate": 7.803623414795232e-06, + "loss": 2.7395, + "step": 1825 + }, + { + "epoch": 0.38, + "learning_rate": 7.800574558188548e-06, + "loss": 2.6227, + "step": 1826 + }, + { + "epoch": 0.38, + "learning_rate": 7.797524183477672e-06, + "loss": 2.6734, + "step": 1827 + }, + { + "epoch": 0.38, + "learning_rate": 7.794472292316118e-06, + "loss": 2.668, + "step": 1828 + }, + { + "epoch": 0.38, + "learning_rate": 7.791418886358221e-06, + "loss": 2.5939, + "step": 1829 + }, + { + "epoch": 0.38, + "learning_rate": 7.788363967259139e-06, + "loss": 2.676, + "step": 1830 + }, + { + "epoch": 0.38, + "learning_rate": 7.785307536674845e-06, + "loss": 2.6078, + "step": 1831 + }, + { + "epoch": 0.38, + "learning_rate": 7.782249596262137e-06, + "loss": 2.6484, + "step": 1832 + }, + { + "epoch": 0.38, + "learning_rate": 7.779190147678628e-06, + "loss": 2.6949, + "step": 1833 + }, + { + "epoch": 0.38, + "learning_rate": 7.776129192582754e-06, + "loss": 2.7315, + "step": 1834 + }, + { + "epoch": 0.38, + "learning_rate": 7.773066732633755e-06, + "loss": 2.6648, + "step": 1835 + }, + { + "epoch": 0.39, + "learning_rate": 7.770002769491705e-06, + "loss": 2.6242, + "step": 1836 + }, + { + "epoch": 0.39, + "learning_rate": 7.766937304817476e-06, + "loss": 2.6293, + "step": 1837 + }, + { + "epoch": 0.39, + "learning_rate": 7.76387034027276e-06, + "loss": 2.6687, + "step": 1838 + }, + { + "epoch": 0.39, + "learning_rate": 7.76080187752007e-06, + "loss": 2.6618, + "step": 1839 + }, + { + "epoch": 0.39, + "learning_rate": 7.757731918222719e-06, + "loss": 2.7212, + "step": 1840 + }, + { + "epoch": 0.39, + "learning_rate": 7.754660464044836e-06, + "loss": 2.6433, + "step": 1841 + }, + { + "epoch": 0.39, + "learning_rate": 7.751587516651361e-06, + "loss": 2.6669, + "step": 1842 + }, + { + "epoch": 0.39, + "learning_rate": 7.748513077708044e-06, + "loss": 2.6281, + "step": 1843 + }, + { + "epoch": 0.39, + "learning_rate": 7.745437148881443e-06, + "loss": 2.6469, + "step": 1844 + }, + { + "epoch": 0.39, + "learning_rate": 7.742359731838921e-06, + "loss": 2.698, + "step": 1845 + }, + { + "epoch": 0.39, + "learning_rate": 7.739280828248653e-06, + "loss": 2.731, + "step": 1846 + }, + { + "epoch": 0.39, + "learning_rate": 7.736200439779615e-06, + "loss": 2.6812, + "step": 1847 + }, + { + "epoch": 0.39, + "learning_rate": 7.733118568101587e-06, + "loss": 2.657, + "step": 1848 + }, + { + "epoch": 0.39, + "learning_rate": 7.73003521488516e-06, + "loss": 2.6624, + "step": 1849 + }, + { + "epoch": 0.39, + "learning_rate": 7.726950381801723e-06, + "loss": 2.6686, + "step": 1850 + }, + { + "epoch": 0.39, + "learning_rate": 7.723864070523464e-06, + "loss": 2.706, + "step": 1851 + }, + { + "epoch": 0.39, + "learning_rate": 7.72077628272338e-06, + "loss": 2.6232, + "step": 1852 + }, + { + "epoch": 0.39, + "learning_rate": 7.717687020075264e-06, + "loss": 2.582, + "step": 1853 + }, + { + "epoch": 0.39, + "learning_rate": 7.714596284253708e-06, + "loss": 2.7062, + "step": 1854 + }, + { + "epoch": 0.39, + "learning_rate": 7.711504076934102e-06, + "loss": 2.6781, + "step": 1855 + }, + { + "epoch": 0.39, + "learning_rate": 7.70841039979264e-06, + "loss": 2.7162, + "step": 1856 + }, + { + "epoch": 0.39, + "learning_rate": 7.705315254506304e-06, + "loss": 2.6546, + "step": 1857 + }, + { + "epoch": 0.39, + "learning_rate": 7.702218642752876e-06, + "loss": 2.6792, + "step": 1858 + }, + { + "epoch": 0.39, + "learning_rate": 7.699120566210936e-06, + "loss": 2.6012, + "step": 1859 + }, + { + "epoch": 0.39, + "learning_rate": 7.69602102655985e-06, + "loss": 2.6899, + "step": 1860 + }, + { + "epoch": 0.39, + "learning_rate": 7.692920025479785e-06, + "loss": 2.5782, + "step": 1861 + }, + { + "epoch": 0.39, + "learning_rate": 7.689817564651696e-06, + "loss": 2.7143, + "step": 1862 + }, + { + "epoch": 0.39, + "learning_rate": 7.68671364575733e-06, + "loss": 2.7233, + "step": 1863 + }, + { + "epoch": 0.39, + "learning_rate": 7.683608270479229e-06, + "loss": 2.7083, + "step": 1864 + }, + { + "epoch": 0.39, + "learning_rate": 7.680501440500712e-06, + "loss": 2.5875, + "step": 1865 + }, + { + "epoch": 0.39, + "learning_rate": 7.677393157505903e-06, + "loss": 2.6226, + "step": 1866 + }, + { + "epoch": 0.39, + "learning_rate": 7.674283423179699e-06, + "loss": 2.6625, + "step": 1867 + }, + { + "epoch": 0.39, + "learning_rate": 7.671172239207793e-06, + "loss": 2.6573, + "step": 1868 + }, + { + "epoch": 0.39, + "learning_rate": 7.668059607276661e-06, + "loss": 2.6963, + "step": 1869 + }, + { + "epoch": 0.39, + "learning_rate": 7.664945529073564e-06, + "loss": 2.6304, + "step": 1870 + }, + { + "epoch": 0.39, + "learning_rate": 7.661830006286543e-06, + "loss": 2.6749, + "step": 1871 + }, + { + "epoch": 0.39, + "learning_rate": 7.658713040604432e-06, + "loss": 2.6517, + "step": 1872 + }, + { + "epoch": 0.39, + "learning_rate": 7.655594633716836e-06, + "loss": 2.7227, + "step": 1873 + }, + { + "epoch": 0.39, + "learning_rate": 7.65247478731415e-06, + "loss": 2.6873, + "step": 1874 + }, + { + "epoch": 0.39, + "learning_rate": 7.649353503087541e-06, + "loss": 2.6735, + "step": 1875 + }, + { + "epoch": 0.39, + "learning_rate": 7.646230782728964e-06, + "loss": 2.7038, + "step": 1876 + }, + { + "epoch": 0.39, + "learning_rate": 7.643106627931148e-06, + "loss": 2.6722, + "step": 1877 + }, + { + "epoch": 0.39, + "learning_rate": 7.639981040387596e-06, + "loss": 2.6873, + "step": 1878 + }, + { + "epoch": 0.39, + "learning_rate": 7.636854021792595e-06, + "loss": 2.6769, + "step": 1879 + }, + { + "epoch": 0.39, + "learning_rate": 7.633725573841204e-06, + "loss": 2.7439, + "step": 1880 + }, + { + "epoch": 0.39, + "learning_rate": 7.630595698229258e-06, + "loss": 2.6287, + "step": 1881 + }, + { + "epoch": 0.39, + "learning_rate": 7.627464396653362e-06, + "loss": 2.6841, + "step": 1882 + }, + { + "epoch": 0.39, + "learning_rate": 7.624331670810898e-06, + "loss": 2.6634, + "step": 1883 + }, + { + "epoch": 0.4, + "learning_rate": 7.6211975224000216e-06, + "loss": 2.5771, + "step": 1884 + }, + { + "epoch": 0.4, + "learning_rate": 7.618061953119654e-06, + "loss": 2.6117, + "step": 1885 + }, + { + "epoch": 0.4, + "learning_rate": 7.614924964669492e-06, + "loss": 2.6723, + "step": 1886 + }, + { + "epoch": 0.4, + "learning_rate": 7.611786558749998e-06, + "loss": 2.6995, + "step": 1887 + }, + { + "epoch": 0.4, + "learning_rate": 7.608646737062406e-06, + "loss": 2.6913, + "step": 1888 + }, + { + "epoch": 0.4, + "learning_rate": 7.605505501308711e-06, + "loss": 2.6085, + "step": 1889 + }, + { + "epoch": 0.4, + "learning_rate": 7.602362853191683e-06, + "loss": 2.6719, + "step": 1890 + }, + { + "epoch": 0.4, + "learning_rate": 7.599218794414851e-06, + "loss": 2.6832, + "step": 1891 + }, + { + "epoch": 0.4, + "learning_rate": 7.596073326682514e-06, + "loss": 2.6049, + "step": 1892 + }, + { + "epoch": 0.4, + "learning_rate": 7.592926451699729e-06, + "loss": 2.6564, + "step": 1893 + }, + { + "epoch": 0.4, + "learning_rate": 7.5897781711723215e-06, + "loss": 2.6405, + "step": 1894 + }, + { + "epoch": 0.4, + "learning_rate": 7.586628486806875e-06, + "loss": 2.6922, + "step": 1895 + }, + { + "epoch": 0.4, + "learning_rate": 7.583477400310737e-06, + "loss": 2.6558, + "step": 1896 + }, + { + "epoch": 0.4, + "learning_rate": 7.580324913392009e-06, + "loss": 2.6471, + "step": 1897 + }, + { + "epoch": 0.4, + "learning_rate": 7.57717102775956e-06, + "loss": 2.6513, + "step": 1898 + }, + { + "epoch": 0.4, + "learning_rate": 7.574015745123011e-06, + "loss": 2.7249, + "step": 1899 + }, + { + "epoch": 0.4, + "learning_rate": 7.570859067192744e-06, + "loss": 2.7373, + "step": 1900 + }, + { + "epoch": 0.4, + "learning_rate": 7.5677009956798954e-06, + "loss": 2.5935, + "step": 1901 + }, + { + "epoch": 0.4, + "learning_rate": 7.564541532296355e-06, + "loss": 2.6203, + "step": 1902 + }, + { + "epoch": 0.4, + "learning_rate": 7.561380678754773e-06, + "loss": 2.6898, + "step": 1903 + }, + { + "epoch": 0.4, + "learning_rate": 7.558218436768547e-06, + "loss": 2.6242, + "step": 1904 + }, + { + "epoch": 0.4, + "learning_rate": 7.555054808051832e-06, + "loss": 2.7042, + "step": 1905 + }, + { + "epoch": 0.4, + "learning_rate": 7.551889794319529e-06, + "loss": 2.6613, + "step": 1906 + }, + { + "epoch": 0.4, + "learning_rate": 7.548723397287299e-06, + "loss": 2.7029, + "step": 1907 + }, + { + "epoch": 0.4, + "learning_rate": 7.54555561867154e-06, + "loss": 2.6497, + "step": 1908 + }, + { + "epoch": 0.4, + "learning_rate": 7.5423864601894105e-06, + "loss": 2.6369, + "step": 1909 + }, + { + "epoch": 0.4, + "learning_rate": 7.539215923558814e-06, + "loss": 2.6295, + "step": 1910 + }, + { + "epoch": 0.4, + "learning_rate": 7.536044010498396e-06, + "loss": 2.6424, + "step": 1911 + }, + { + "epoch": 0.4, + "learning_rate": 7.532870722727552e-06, + "loss": 2.6584, + "step": 1912 + }, + { + "epoch": 0.4, + "learning_rate": 7.529696061966425e-06, + "loss": 2.7021, + "step": 1913 + }, + { + "epoch": 0.4, + "learning_rate": 7.526520029935897e-06, + "loss": 2.6886, + "step": 1914 + }, + { + "epoch": 0.4, + "learning_rate": 7.523342628357599e-06, + "loss": 2.6267, + "step": 1915 + }, + { + "epoch": 0.4, + "learning_rate": 7.520163858953898e-06, + "loss": 2.6035, + "step": 1916 + }, + { + "epoch": 0.4, + "learning_rate": 7.516983723447908e-06, + "loss": 2.6851, + "step": 1917 + }, + { + "epoch": 0.4, + "learning_rate": 7.513802223563482e-06, + "loss": 2.5682, + "step": 1918 + }, + { + "epoch": 0.4, + "learning_rate": 7.5106193610252085e-06, + "loss": 2.6665, + "step": 1919 + }, + { + "epoch": 0.4, + "learning_rate": 7.507435137558422e-06, + "loss": 2.5941, + "step": 1920 + }, + { + "epoch": 0.4, + "learning_rate": 7.504249554889188e-06, + "loss": 2.6645, + "step": 1921 + }, + { + "epoch": 0.4, + "learning_rate": 7.501062614744313e-06, + "loss": 2.6964, + "step": 1922 + }, + { + "epoch": 0.4, + "learning_rate": 7.497874318851337e-06, + "loss": 2.6294, + "step": 1923 + }, + { + "epoch": 0.4, + "learning_rate": 7.494684668938537e-06, + "loss": 2.66, + "step": 1924 + }, + { + "epoch": 0.4, + "learning_rate": 7.491493666734924e-06, + "loss": 2.6949, + "step": 1925 + }, + { + "epoch": 0.4, + "learning_rate": 7.488301313970236e-06, + "loss": 2.6831, + "step": 1926 + }, + { + "epoch": 0.4, + "learning_rate": 7.485107612374953e-06, + "loss": 2.6323, + "step": 1927 + }, + { + "epoch": 0.4, + "learning_rate": 7.48191256368028e-06, + "loss": 2.6523, + "step": 1928 + }, + { + "epoch": 0.4, + "learning_rate": 7.478716169618151e-06, + "loss": 2.7119, + "step": 1929 + }, + { + "epoch": 0.4, + "learning_rate": 7.475518431921233e-06, + "loss": 2.6386, + "step": 1930 + }, + { + "epoch": 0.41, + "learning_rate": 7.472319352322921e-06, + "loss": 2.6199, + "step": 1931 + }, + { + "epoch": 0.41, + "learning_rate": 7.469118932557336e-06, + "loss": 2.6657, + "step": 1932 + }, + { + "epoch": 0.41, + "learning_rate": 7.465917174359323e-06, + "loss": 2.646, + "step": 1933 + }, + { + "epoch": 0.41, + "learning_rate": 7.462714079464459e-06, + "loss": 2.7399, + "step": 1934 + }, + { + "epoch": 0.41, + "learning_rate": 7.4595096496090405e-06, + "loss": 2.6845, + "step": 1935 + }, + { + "epoch": 0.41, + "learning_rate": 7.456303886530088e-06, + "loss": 2.6438, + "step": 1936 + }, + { + "epoch": 0.41, + "learning_rate": 7.453096791965349e-06, + "loss": 2.716, + "step": 1937 + }, + { + "epoch": 0.41, + "learning_rate": 7.4498883676532855e-06, + "loss": 2.6695, + "step": 1938 + }, + { + "epoch": 0.41, + "learning_rate": 7.446678615333086e-06, + "loss": 2.5435, + "step": 1939 + }, + { + "epoch": 0.41, + "learning_rate": 7.443467536744659e-06, + "loss": 2.6431, + "step": 1940 + }, + { + "epoch": 0.41, + "learning_rate": 7.440255133628627e-06, + "loss": 2.6527, + "step": 1941 + }, + { + "epoch": 0.41, + "learning_rate": 7.437041407726335e-06, + "loss": 2.6001, + "step": 1942 + }, + { + "epoch": 0.41, + "learning_rate": 7.433826360779845e-06, + "loss": 2.6345, + "step": 1943 + }, + { + "epoch": 0.41, + "learning_rate": 7.430609994531932e-06, + "loss": 2.6339, + "step": 1944 + }, + { + "epoch": 0.41, + "learning_rate": 7.427392310726088e-06, + "loss": 2.6102, + "step": 1945 + }, + { + "epoch": 0.41, + "learning_rate": 7.42417331110652e-06, + "loss": 2.671, + "step": 1946 + }, + { + "epoch": 0.41, + "learning_rate": 7.420952997418147e-06, + "loss": 2.6978, + "step": 1947 + }, + { + "epoch": 0.41, + "learning_rate": 7.417731371406601e-06, + "loss": 2.7422, + "step": 1948 + }, + { + "epoch": 0.41, + "learning_rate": 7.414508434818224e-06, + "loss": 2.6862, + "step": 1949 + }, + { + "epoch": 0.41, + "learning_rate": 7.411284189400071e-06, + "loss": 2.7018, + "step": 1950 + }, + { + "epoch": 0.41, + "learning_rate": 7.4080586368999045e-06, + "loss": 2.6477, + "step": 1951 + }, + { + "epoch": 0.41, + "learning_rate": 7.404831779066194e-06, + "loss": 2.7387, + "step": 1952 + }, + { + "epoch": 0.41, + "learning_rate": 7.401603617648121e-06, + "loss": 2.6949, + "step": 1953 + }, + { + "epoch": 0.41, + "learning_rate": 7.398374154395571e-06, + "loss": 2.6481, + "step": 1954 + }, + { + "epoch": 0.41, + "learning_rate": 7.395143391059134e-06, + "loss": 2.6152, + "step": 1955 + }, + { + "epoch": 0.41, + "learning_rate": 7.391911329390107e-06, + "loss": 2.7155, + "step": 1956 + }, + { + "epoch": 0.41, + "learning_rate": 7.38867797114049e-06, + "loss": 2.6121, + "step": 1957 + }, + { + "epoch": 0.41, + "learning_rate": 7.385443318062985e-06, + "loss": 2.7134, + "step": 1958 + }, + { + "epoch": 0.41, + "learning_rate": 7.382207371910997e-06, + "loss": 2.7012, + "step": 1959 + }, + { + "epoch": 0.41, + "learning_rate": 7.378970134438633e-06, + "loss": 2.6704, + "step": 1960 + }, + { + "epoch": 0.41, + "learning_rate": 7.375731607400697e-06, + "loss": 2.7034, + "step": 1961 + }, + { + "epoch": 0.41, + "learning_rate": 7.372491792552694e-06, + "loss": 2.6533, + "step": 1962 + }, + { + "epoch": 0.41, + "learning_rate": 7.369250691650825e-06, + "loss": 2.6812, + "step": 1963 + }, + { + "epoch": 0.41, + "learning_rate": 7.3660083064519934e-06, + "loss": 2.6846, + "step": 1964 + }, + { + "epoch": 0.41, + "learning_rate": 7.362764638713793e-06, + "loss": 2.7218, + "step": 1965 + }, + { + "epoch": 0.41, + "learning_rate": 7.359519690194514e-06, + "loss": 2.5868, + "step": 1966 + }, + { + "epoch": 0.41, + "learning_rate": 7.356273462653143e-06, + "loss": 2.656, + "step": 1967 + }, + { + "epoch": 0.41, + "learning_rate": 7.35302595784936e-06, + "loss": 2.6581, + "step": 1968 + }, + { + "epoch": 0.41, + "learning_rate": 7.3497771775435334e-06, + "loss": 2.6754, + "step": 1969 + }, + { + "epoch": 0.41, + "learning_rate": 7.346527123496727e-06, + "loss": 2.6621, + "step": 1970 + }, + { + "epoch": 0.41, + "learning_rate": 7.343275797470696e-06, + "loss": 2.6569, + "step": 1971 + }, + { + "epoch": 0.41, + "learning_rate": 7.34002320122788e-06, + "loss": 2.6671, + "step": 1972 + }, + { + "epoch": 0.41, + "learning_rate": 7.336769336531411e-06, + "loss": 2.6859, + "step": 1973 + }, + { + "epoch": 0.41, + "learning_rate": 7.333514205145107e-06, + "loss": 2.641, + "step": 1974 + }, + { + "epoch": 0.41, + "learning_rate": 7.3302578088334755e-06, + "loss": 2.6524, + "step": 1975 + }, + { + "epoch": 0.41, + "learning_rate": 7.327000149361705e-06, + "loss": 2.6552, + "step": 1976 + }, + { + "epoch": 0.41, + "learning_rate": 7.323741228495672e-06, + "loss": 2.7321, + "step": 1977 + }, + { + "epoch": 0.41, + "learning_rate": 7.3204810480019375e-06, + "loss": 2.6562, + "step": 1978 + }, + { + "epoch": 0.42, + "learning_rate": 7.31721960964774e-06, + "loss": 2.6284, + "step": 1979 + }, + { + "epoch": 0.42, + "learning_rate": 7.313956915201007e-06, + "loss": 2.6708, + "step": 1980 + }, + { + "epoch": 0.42, + "learning_rate": 7.310692966430341e-06, + "loss": 2.6233, + "step": 1981 + }, + { + "epoch": 0.42, + "learning_rate": 7.307427765105031e-06, + "loss": 2.7387, + "step": 1982 + }, + { + "epoch": 0.42, + "learning_rate": 7.304161312995037e-06, + "loss": 2.6641, + "step": 1983 + }, + { + "epoch": 0.42, + "learning_rate": 7.300893611871002e-06, + "loss": 2.7388, + "step": 1984 + }, + { + "epoch": 0.42, + "learning_rate": 7.297624663504246e-06, + "loss": 2.6561, + "step": 1985 + }, + { + "epoch": 0.42, + "learning_rate": 7.294354469666761e-06, + "loss": 2.7115, + "step": 1986 + }, + { + "epoch": 0.42, + "learning_rate": 7.291083032131221e-06, + "loss": 2.6942, + "step": 1987 + }, + { + "epoch": 0.42, + "learning_rate": 7.287810352670967e-06, + "loss": 2.6535, + "step": 1988 + }, + { + "epoch": 0.42, + "learning_rate": 7.284536433060019e-06, + "loss": 2.6396, + "step": 1989 + }, + { + "epoch": 0.42, + "learning_rate": 7.281261275073066e-06, + "loss": 2.6622, + "step": 1990 + }, + { + "epoch": 0.42, + "learning_rate": 7.277984880485469e-06, + "loss": 2.6431, + "step": 1991 + }, + { + "epoch": 0.42, + "learning_rate": 7.27470725107326e-06, + "loss": 2.6784, + "step": 1992 + }, + { + "epoch": 0.42, + "learning_rate": 7.271428388613138e-06, + "loss": 2.6935, + "step": 1993 + }, + { + "epoch": 0.42, + "learning_rate": 7.268148294882472e-06, + "loss": 2.6522, + "step": 1994 + }, + { + "epoch": 0.42, + "learning_rate": 7.264866971659303e-06, + "loss": 2.6588, + "step": 1995 + }, + { + "epoch": 0.42, + "learning_rate": 7.261584420722328e-06, + "loss": 2.5726, + "step": 1996 + }, + { + "epoch": 0.42, + "learning_rate": 7.25830064385092e-06, + "loss": 2.6375, + "step": 1997 + }, + { + "epoch": 0.42, + "learning_rate": 7.2550156428251115e-06, + "loss": 2.6533, + "step": 1998 + }, + { + "epoch": 0.42, + "learning_rate": 7.251729419425597e-06, + "loss": 2.6267, + "step": 1999 + }, + { + "epoch": 0.42, + "learning_rate": 7.248441975433738e-06, + "loss": 2.7149, + "step": 2000 + }, + { + "epoch": 0.42, + "learning_rate": 7.245153312631554e-06, + "loss": 2.6383, + "step": 2001 + }, + { + "epoch": 0.42, + "learning_rate": 7.241863432801726e-06, + "loss": 2.6659, + "step": 2002 + }, + { + "epoch": 0.42, + "learning_rate": 7.238572337727598e-06, + "loss": 2.5886, + "step": 2003 + }, + { + "epoch": 0.42, + "learning_rate": 7.235280029193168e-06, + "loss": 2.657, + "step": 2004 + }, + { + "epoch": 0.42, + "learning_rate": 7.2319865089830945e-06, + "loss": 2.6674, + "step": 2005 + }, + { + "epoch": 0.42, + "learning_rate": 7.2286917788826926e-06, + "loss": 2.6483, + "step": 2006 + }, + { + "epoch": 0.42, + "learning_rate": 7.225395840677931e-06, + "loss": 2.6821, + "step": 2007 + }, + { + "epoch": 0.42, + "learning_rate": 7.2220986961554375e-06, + "loss": 2.6107, + "step": 2008 + }, + { + "epoch": 0.42, + "learning_rate": 7.21880034710249e-06, + "loss": 2.6164, + "step": 2009 + }, + { + "epoch": 0.42, + "learning_rate": 7.21550079530702e-06, + "loss": 2.6794, + "step": 2010 + }, + { + "epoch": 0.42, + "learning_rate": 7.212200042557615e-06, + "loss": 2.7263, + "step": 2011 + }, + { + "epoch": 0.42, + "learning_rate": 7.2088980906435055e-06, + "loss": 2.6384, + "step": 2012 + }, + { + "epoch": 0.42, + "learning_rate": 7.20559494135458e-06, + "loss": 2.6273, + "step": 2013 + }, + { + "epoch": 0.42, + "learning_rate": 7.202290596481372e-06, + "loss": 2.6932, + "step": 2014 + }, + { + "epoch": 0.42, + "learning_rate": 7.1989850578150646e-06, + "loss": 2.6641, + "step": 2015 + }, + { + "epoch": 0.42, + "learning_rate": 7.195678327147485e-06, + "loss": 2.7335, + "step": 2016 + }, + { + "epoch": 0.42, + "learning_rate": 7.192370406271112e-06, + "loss": 2.6202, + "step": 2017 + }, + { + "epoch": 0.42, + "learning_rate": 7.189061296979063e-06, + "loss": 2.7109, + "step": 2018 + }, + { + "epoch": 0.42, + "learning_rate": 7.185751001065106e-06, + "loss": 2.6939, + "step": 2019 + }, + { + "epoch": 0.42, + "learning_rate": 7.1824395203236465e-06, + "loss": 2.6725, + "step": 2020 + }, + { + "epoch": 0.42, + "learning_rate": 7.1791268565497375e-06, + "loss": 2.7043, + "step": 2021 + }, + { + "epoch": 0.42, + "learning_rate": 7.17581301153907e-06, + "loss": 2.6356, + "step": 2022 + }, + { + "epoch": 0.42, + "learning_rate": 7.172497987087976e-06, + "loss": 2.6149, + "step": 2023 + }, + { + "epoch": 0.42, + "learning_rate": 7.169181784993426e-06, + "loss": 2.7201, + "step": 2024 + }, + { + "epoch": 0.42, + "learning_rate": 7.165864407053032e-06, + "loss": 2.7348, + "step": 2025 + }, + { + "epoch": 0.42, + "learning_rate": 7.16254585506504e-06, + "loss": 2.6267, + "step": 2026 + }, + { + "epoch": 0.43, + "learning_rate": 7.159226130828333e-06, + "loss": 2.6369, + "step": 2027 + }, + { + "epoch": 0.43, + "learning_rate": 7.155905236142431e-06, + "loss": 2.676, + "step": 2028 + }, + { + "epoch": 0.43, + "learning_rate": 7.152583172807486e-06, + "loss": 2.6592, + "step": 2029 + }, + { + "epoch": 0.43, + "learning_rate": 7.149259942624287e-06, + "loss": 2.6929, + "step": 2030 + }, + { + "epoch": 0.43, + "learning_rate": 7.145935547394251e-06, + "loss": 2.6634, + "step": 2031 + }, + { + "epoch": 0.43, + "learning_rate": 7.1426099889194325e-06, + "loss": 2.6434, + "step": 2032 + }, + { + "epoch": 0.43, + "learning_rate": 7.13928326900251e-06, + "loss": 2.5939, + "step": 2033 + }, + { + "epoch": 0.43, + "learning_rate": 7.135955389446797e-06, + "loss": 2.7276, + "step": 2034 + }, + { + "epoch": 0.43, + "learning_rate": 7.132626352056232e-06, + "loss": 2.6581, + "step": 2035 + }, + { + "epoch": 0.43, + "learning_rate": 7.129296158635382e-06, + "loss": 2.6581, + "step": 2036 + }, + { + "epoch": 0.43, + "learning_rate": 7.125964810989443e-06, + "loss": 2.6372, + "step": 2037 + }, + { + "epoch": 0.43, + "learning_rate": 7.122632310924233e-06, + "loss": 2.6453, + "step": 2038 + }, + { + "epoch": 0.43, + "learning_rate": 7.1192986602461965e-06, + "loss": 2.663, + "step": 2039 + }, + { + "epoch": 0.43, + "learning_rate": 7.115963860762402e-06, + "loss": 2.6691, + "step": 2040 + }, + { + "epoch": 0.43, + "learning_rate": 7.112627914280541e-06, + "loss": 2.6749, + "step": 2041 + }, + { + "epoch": 0.43, + "learning_rate": 7.109290822608925e-06, + "loss": 2.6284, + "step": 2042 + }, + { + "epoch": 0.43, + "learning_rate": 7.105952587556488e-06, + "loss": 2.6296, + "step": 2043 + }, + { + "epoch": 0.43, + "learning_rate": 7.102613210932783e-06, + "loss": 2.6791, + "step": 2044 + }, + { + "epoch": 0.43, + "learning_rate": 7.099272694547983e-06, + "loss": 2.641, + "step": 2045 + }, + { + "epoch": 0.43, + "learning_rate": 7.0959310402128755e-06, + "loss": 2.678, + "step": 2046 + }, + { + "epoch": 0.43, + "learning_rate": 7.092588249738871e-06, + "loss": 2.6695, + "step": 2047 + }, + { + "epoch": 0.43, + "learning_rate": 7.089244324937988e-06, + "loss": 2.7401, + "step": 2048 + }, + { + "epoch": 0.43, + "learning_rate": 7.085899267622867e-06, + "loss": 2.5922, + "step": 2049 + }, + { + "epoch": 0.43, + "learning_rate": 7.082553079606756e-06, + "loss": 2.6884, + "step": 2050 + }, + { + "epoch": 0.43, + "learning_rate": 7.079205762703523e-06, + "loss": 2.6745, + "step": 2051 + }, + { + "epoch": 0.43, + "learning_rate": 7.075857318727641e-06, + "loss": 2.6069, + "step": 2052 + }, + { + "epoch": 0.43, + "learning_rate": 7.072507749494199e-06, + "loss": 2.6158, + "step": 2053 + }, + { + "epoch": 0.43, + "learning_rate": 7.069157056818894e-06, + "loss": 2.6937, + "step": 2054 + }, + { + "epoch": 0.43, + "learning_rate": 7.065805242518031e-06, + "loss": 2.7328, + "step": 2055 + }, + { + "epoch": 0.43, + "learning_rate": 7.062452308408525e-06, + "loss": 2.6956, + "step": 2056 + }, + { + "epoch": 0.43, + "learning_rate": 7.059098256307897e-06, + "loss": 2.6338, + "step": 2057 + }, + { + "epoch": 0.43, + "learning_rate": 7.055743088034275e-06, + "loss": 2.5955, + "step": 2058 + }, + { + "epoch": 0.43, + "learning_rate": 7.0523868054063885e-06, + "loss": 2.6106, + "step": 2059 + }, + { + "epoch": 0.43, + "learning_rate": 7.049029410243575e-06, + "loss": 2.6566, + "step": 2060 + }, + { + "epoch": 0.43, + "learning_rate": 7.0456709043657756e-06, + "loss": 2.6138, + "step": 2061 + }, + { + "epoch": 0.43, + "learning_rate": 7.04231128959353e-06, + "loss": 2.7321, + "step": 2062 + }, + { + "epoch": 0.43, + "learning_rate": 7.03895056774798e-06, + "loss": 2.6864, + "step": 2063 + }, + { + "epoch": 0.43, + "learning_rate": 7.03558874065087e-06, + "loss": 2.6286, + "step": 2064 + }, + { + "epoch": 0.43, + "learning_rate": 7.03222581012454e-06, + "loss": 2.6111, + "step": 2065 + }, + { + "epoch": 0.43, + "learning_rate": 7.028861777991931e-06, + "loss": 2.6821, + "step": 2066 + }, + { + "epoch": 0.43, + "learning_rate": 7.025496646076579e-06, + "loss": 2.7185, + "step": 2067 + }, + { + "epoch": 0.43, + "learning_rate": 7.022130416202617e-06, + "loss": 2.6799, + "step": 2068 + }, + { + "epoch": 0.43, + "learning_rate": 7.018763090194775e-06, + "loss": 2.6479, + "step": 2069 + }, + { + "epoch": 0.43, + "learning_rate": 7.015394669878375e-06, + "loss": 2.621, + "step": 2070 + }, + { + "epoch": 0.43, + "learning_rate": 7.012025157079332e-06, + "loss": 2.666, + "step": 2071 + }, + { + "epoch": 0.43, + "learning_rate": 7.008654553624155e-06, + "loss": 2.5922, + "step": 2072 + }, + { + "epoch": 0.43, + "learning_rate": 7.005282861339939e-06, + "loss": 2.5893, + "step": 2073 + }, + { + "epoch": 0.44, + "learning_rate": 7.001910082054379e-06, + "loss": 2.6349, + "step": 2074 + }, + { + "epoch": 0.44, + "learning_rate": 6.998536217595752e-06, + "loss": 2.645, + "step": 2075 + }, + { + "epoch": 0.44, + "learning_rate": 6.9951612697929215e-06, + "loss": 2.6657, + "step": 2076 + }, + { + "epoch": 0.44, + "learning_rate": 6.991785240475344e-06, + "loss": 2.6851, + "step": 2077 + }, + { + "epoch": 0.44, + "learning_rate": 6.988408131473061e-06, + "loss": 2.6584, + "step": 2078 + }, + { + "epoch": 0.44, + "learning_rate": 6.9850299446166944e-06, + "loss": 2.6507, + "step": 2079 + }, + { + "epoch": 0.44, + "learning_rate": 6.981650681737457e-06, + "loss": 2.6118, + "step": 2080 + }, + { + "epoch": 0.44, + "learning_rate": 6.978270344667143e-06, + "loss": 2.6328, + "step": 2081 + }, + { + "epoch": 0.44, + "learning_rate": 6.974888935238126e-06, + "loss": 2.6844, + "step": 2082 + }, + { + "epoch": 0.44, + "learning_rate": 6.97150645528336e-06, + "loss": 2.6174, + "step": 2083 + }, + { + "epoch": 0.44, + "learning_rate": 6.968122906636386e-06, + "loss": 2.7061, + "step": 2084 + }, + { + "epoch": 0.44, + "learning_rate": 6.96473829113132e-06, + "loss": 2.7102, + "step": 2085 + }, + { + "epoch": 0.44, + "learning_rate": 6.961352610602854e-06, + "loss": 2.6913, + "step": 2086 + }, + { + "epoch": 0.44, + "learning_rate": 6.957965866886261e-06, + "loss": 2.633, + "step": 2087 + }, + { + "epoch": 0.44, + "learning_rate": 6.95457806181739e-06, + "loss": 2.6832, + "step": 2088 + }, + { + "epoch": 0.44, + "learning_rate": 6.9511891972326665e-06, + "loss": 2.6589, + "step": 2089 + }, + { + "epoch": 0.44, + "learning_rate": 6.947799274969082e-06, + "loss": 2.6559, + "step": 2090 + }, + { + "epoch": 0.44, + "learning_rate": 6.9444082968642146e-06, + "loss": 2.6971, + "step": 2091 + }, + { + "epoch": 0.44, + "learning_rate": 6.941016264756203e-06, + "loss": 2.6488, + "step": 2092 + }, + { + "epoch": 0.44, + "learning_rate": 6.937623180483764e-06, + "loss": 2.6468, + "step": 2093 + }, + { + "epoch": 0.44, + "learning_rate": 6.934229045886185e-06, + "loss": 2.6436, + "step": 2094 + }, + { + "epoch": 0.44, + "learning_rate": 6.930833862803318e-06, + "loss": 2.6045, + "step": 2095 + }, + { + "epoch": 0.44, + "learning_rate": 6.927437633075585e-06, + "loss": 2.6139, + "step": 2096 + }, + { + "epoch": 0.44, + "learning_rate": 6.924040358543978e-06, + "loss": 2.6462, + "step": 2097 + }, + { + "epoch": 0.44, + "learning_rate": 6.920642041050055e-06, + "loss": 2.6976, + "step": 2098 + }, + { + "epoch": 0.44, + "learning_rate": 6.917242682435937e-06, + "loss": 2.6934, + "step": 2099 + }, + { + "epoch": 0.44, + "learning_rate": 6.913842284544306e-06, + "loss": 2.6733, + "step": 2100 + }, + { + "epoch": 0.44, + "learning_rate": 6.910440849218419e-06, + "loss": 2.6655, + "step": 2101 + }, + { + "epoch": 0.44, + "learning_rate": 6.9070383783020835e-06, + "loss": 2.7103, + "step": 2102 + }, + { + "epoch": 0.44, + "learning_rate": 6.903634873639673e-06, + "loss": 2.6257, + "step": 2103 + }, + { + "epoch": 0.44, + "learning_rate": 6.900230337076123e-06, + "loss": 2.6417, + "step": 2104 + }, + { + "epoch": 0.44, + "learning_rate": 6.896824770456926e-06, + "loss": 2.6461, + "step": 2105 + }, + { + "epoch": 0.44, + "learning_rate": 6.8934181756281345e-06, + "loss": 2.6562, + "step": 2106 + }, + { + "epoch": 0.44, + "learning_rate": 6.890010554436355e-06, + "loss": 2.7379, + "step": 2107 + }, + { + "epoch": 0.44, + "learning_rate": 6.886601908728755e-06, + "loss": 2.6968, + "step": 2108 + }, + { + "epoch": 0.44, + "learning_rate": 6.883192240353055e-06, + "loss": 2.6604, + "step": 2109 + }, + { + "epoch": 0.44, + "learning_rate": 6.879781551157527e-06, + "loss": 2.7208, + "step": 2110 + }, + { + "epoch": 0.44, + "learning_rate": 6.876369842991004e-06, + "loss": 2.564, + "step": 2111 + }, + { + "epoch": 0.44, + "learning_rate": 6.872957117702863e-06, + "loss": 2.7158, + "step": 2112 + }, + { + "epoch": 0.44, + "learning_rate": 6.869543377143039e-06, + "loss": 2.6613, + "step": 2113 + }, + { + "epoch": 0.44, + "learning_rate": 6.866128623162011e-06, + "loss": 2.6753, + "step": 2114 + }, + { + "epoch": 0.44, + "learning_rate": 6.862712857610812e-06, + "loss": 2.659, + "step": 2115 + }, + { + "epoch": 0.44, + "learning_rate": 6.859296082341023e-06, + "loss": 2.6723, + "step": 2116 + }, + { + "epoch": 0.44, + "learning_rate": 6.85587829920477e-06, + "loss": 2.589, + "step": 2117 + }, + { + "epoch": 0.44, + "learning_rate": 6.852459510054728e-06, + "loss": 2.6739, + "step": 2118 + }, + { + "epoch": 0.44, + "learning_rate": 6.849039716744117e-06, + "loss": 2.6916, + "step": 2119 + }, + { + "epoch": 0.44, + "learning_rate": 6.845618921126698e-06, + "loss": 2.6627, + "step": 2120 + }, + { + "epoch": 0.44, + "learning_rate": 6.84219712505678e-06, + "loss": 2.6592, + "step": 2121 + }, + { + "epoch": 0.45, + "learning_rate": 6.838774330389209e-06, + "loss": 2.6186, + "step": 2122 + }, + { + "epoch": 0.45, + "learning_rate": 6.835350538979378e-06, + "loss": 2.6255, + "step": 2123 + }, + { + "epoch": 0.45, + "learning_rate": 6.831925752683215e-06, + "loss": 2.603, + "step": 2124 + }, + { + "epoch": 0.45, + "learning_rate": 6.828499973357194e-06, + "loss": 2.7174, + "step": 2125 + }, + { + "epoch": 0.45, + "learning_rate": 6.82507320285832e-06, + "loss": 2.6758, + "step": 2126 + }, + { + "epoch": 0.45, + "learning_rate": 6.821645443044138e-06, + "loss": 2.7024, + "step": 2127 + }, + { + "epoch": 0.45, + "learning_rate": 6.8182166957727315e-06, + "loss": 2.6239, + "step": 2128 + }, + { + "epoch": 0.45, + "learning_rate": 6.814786962902717e-06, + "loss": 2.6452, + "step": 2129 + }, + { + "epoch": 0.45, + "learning_rate": 6.811356246293246e-06, + "loss": 2.6782, + "step": 2130 + }, + { + "epoch": 0.45, + "learning_rate": 6.8079245478040035e-06, + "loss": 2.6748, + "step": 2131 + }, + { + "epoch": 0.45, + "learning_rate": 6.804491869295207e-06, + "loss": 2.7632, + "step": 2132 + }, + { + "epoch": 0.45, + "learning_rate": 6.801058212627602e-06, + "loss": 2.6223, + "step": 2133 + }, + { + "epoch": 0.45, + "learning_rate": 6.797623579662467e-06, + "loss": 2.6908, + "step": 2134 + }, + { + "epoch": 0.45, + "learning_rate": 6.794187972261612e-06, + "loss": 2.6903, + "step": 2135 + }, + { + "epoch": 0.45, + "learning_rate": 6.790751392287371e-06, + "loss": 2.7248, + "step": 2136 + }, + { + "epoch": 0.45, + "learning_rate": 6.787313841602607e-06, + "loss": 2.6355, + "step": 2137 + }, + { + "epoch": 0.45, + "learning_rate": 6.78387532207071e-06, + "loss": 2.6205, + "step": 2138 + }, + { + "epoch": 0.45, + "learning_rate": 6.780435835555592e-06, + "loss": 2.6875, + "step": 2139 + }, + { + "epoch": 0.45, + "learning_rate": 6.776995383921694e-06, + "loss": 2.727, + "step": 2140 + }, + { + "epoch": 0.45, + "learning_rate": 6.773553969033975e-06, + "loss": 2.6588, + "step": 2141 + }, + { + "epoch": 0.45, + "learning_rate": 6.770111592757923e-06, + "loss": 2.5947, + "step": 2142 + }, + { + "epoch": 0.45, + "learning_rate": 6.76666825695954e-06, + "loss": 2.6337, + "step": 2143 + }, + { + "epoch": 0.45, + "learning_rate": 6.76322396350535e-06, + "loss": 2.6863, + "step": 2144 + }, + { + "epoch": 0.45, + "learning_rate": 6.7597787142623995e-06, + "loss": 2.619, + "step": 2145 + }, + { + "epoch": 0.45, + "learning_rate": 6.756332511098249e-06, + "loss": 2.6504, + "step": 2146 + }, + { + "epoch": 0.45, + "learning_rate": 6.752885355880978e-06, + "loss": 2.6399, + "step": 2147 + }, + { + "epoch": 0.45, + "learning_rate": 6.749437250479184e-06, + "loss": 2.6415, + "step": 2148 + }, + { + "epoch": 0.45, + "learning_rate": 6.745988196761976e-06, + "loss": 2.6324, + "step": 2149 + }, + { + "epoch": 0.45, + "learning_rate": 6.742538196598978e-06, + "loss": 2.598, + "step": 2150 + }, + { + "epoch": 0.45, + "learning_rate": 6.739087251860327e-06, + "loss": 2.641, + "step": 2151 + }, + { + "epoch": 0.45, + "learning_rate": 6.735635364416674e-06, + "loss": 2.6891, + "step": 2152 + }, + { + "epoch": 0.45, + "learning_rate": 6.73218253613918e-06, + "loss": 2.6004, + "step": 2153 + }, + { + "epoch": 0.45, + "learning_rate": 6.728728768899513e-06, + "loss": 2.6119, + "step": 2154 + }, + { + "epoch": 0.45, + "learning_rate": 6.725274064569856e-06, + "loss": 2.6917, + "step": 2155 + }, + { + "epoch": 0.45, + "learning_rate": 6.721818425022897e-06, + "loss": 2.7065, + "step": 2156 + }, + { + "epoch": 0.45, + "learning_rate": 6.718361852131825e-06, + "loss": 2.7026, + "step": 2157 + }, + { + "epoch": 0.45, + "learning_rate": 6.714904347770346e-06, + "loss": 2.6372, + "step": 2158 + }, + { + "epoch": 0.45, + "learning_rate": 6.711445913812663e-06, + "loss": 2.6499, + "step": 2159 + }, + { + "epoch": 0.45, + "learning_rate": 6.707986552133485e-06, + "loss": 2.7222, + "step": 2160 + }, + { + "epoch": 0.45, + "learning_rate": 6.704526264608026e-06, + "loss": 2.6491, + "step": 2161 + }, + { + "epoch": 0.45, + "learning_rate": 6.701065053111997e-06, + "loss": 2.6262, + "step": 2162 + }, + { + "epoch": 0.45, + "learning_rate": 6.697602919521617e-06, + "loss": 2.69, + "step": 2163 + }, + { + "epoch": 0.45, + "learning_rate": 6.694139865713596e-06, + "loss": 2.7199, + "step": 2164 + }, + { + "epoch": 0.45, + "learning_rate": 6.69067589356515e-06, + "loss": 2.6462, + "step": 2165 + }, + { + "epoch": 0.45, + "learning_rate": 6.687211004953992e-06, + "loss": 2.5932, + "step": 2166 + }, + { + "epoch": 0.45, + "learning_rate": 6.6837452017583274e-06, + "loss": 2.6422, + "step": 2167 + }, + { + "epoch": 0.45, + "learning_rate": 6.680278485856861e-06, + "loss": 2.6831, + "step": 2168 + }, + { + "epoch": 0.45, + "learning_rate": 6.676810859128793e-06, + "loss": 2.6163, + "step": 2169 + }, + { + "epoch": 0.46, + "learning_rate": 6.673342323453813e-06, + "loss": 2.6077, + "step": 2170 + }, + { + "epoch": 0.46, + "learning_rate": 6.6698728807121075e-06, + "loss": 2.6895, + "step": 2171 + }, + { + "epoch": 0.46, + "learning_rate": 6.666402532784354e-06, + "loss": 2.6931, + "step": 2172 + }, + { + "epoch": 0.46, + "learning_rate": 6.662931281551719e-06, + "loss": 2.7252, + "step": 2173 + }, + { + "epoch": 0.46, + "learning_rate": 6.659459128895859e-06, + "loss": 2.6353, + "step": 2174 + }, + { + "epoch": 0.46, + "learning_rate": 6.655986076698922e-06, + "loss": 2.6958, + "step": 2175 + }, + { + "epoch": 0.46, + "learning_rate": 6.652512126843538e-06, + "loss": 2.6665, + "step": 2176 + }, + { + "epoch": 0.46, + "learning_rate": 6.64903728121283e-06, + "loss": 2.6537, + "step": 2177 + }, + { + "epoch": 0.46, + "learning_rate": 6.645561541690402e-06, + "loss": 2.6111, + "step": 2178 + }, + { + "epoch": 0.46, + "learning_rate": 6.642084910160346e-06, + "loss": 2.6802, + "step": 2179 + }, + { + "epoch": 0.46, + "learning_rate": 6.6386073885072325e-06, + "loss": 2.6797, + "step": 2180 + }, + { + "epoch": 0.46, + "learning_rate": 6.635128978616119e-06, + "loss": 2.6137, + "step": 2181 + }, + { + "epoch": 0.46, + "learning_rate": 6.631649682372545e-06, + "loss": 2.635, + "step": 2182 + }, + { + "epoch": 0.46, + "learning_rate": 6.628169501662527e-06, + "loss": 2.5967, + "step": 2183 + }, + { + "epoch": 0.46, + "learning_rate": 6.62468843837256e-06, + "loss": 2.6551, + "step": 2184 + }, + { + "epoch": 0.46, + "learning_rate": 6.6212064943896244e-06, + "loss": 2.6702, + "step": 2185 + }, + { + "epoch": 0.46, + "learning_rate": 6.617723671601171e-06, + "loss": 2.625, + "step": 2186 + }, + { + "epoch": 0.46, + "learning_rate": 6.614239971895129e-06, + "loss": 2.6636, + "step": 2187 + }, + { + "epoch": 0.46, + "learning_rate": 6.610755397159905e-06, + "loss": 2.6584, + "step": 2188 + }, + { + "epoch": 0.46, + "learning_rate": 6.607269949284377e-06, + "loss": 2.62, + "step": 2189 + }, + { + "epoch": 0.46, + "learning_rate": 6.603783630157901e-06, + "loss": 2.6503, + "step": 2190 + }, + { + "epoch": 0.46, + "learning_rate": 6.600296441670296e-06, + "loss": 2.7038, + "step": 2191 + }, + { + "epoch": 0.46, + "learning_rate": 6.596808385711864e-06, + "loss": 2.6608, + "step": 2192 + }, + { + "epoch": 0.46, + "learning_rate": 6.5933194641733685e-06, + "loss": 2.6939, + "step": 2193 + }, + { + "epoch": 0.46, + "learning_rate": 6.589829678946045e-06, + "loss": 2.6359, + "step": 2194 + }, + { + "epoch": 0.46, + "learning_rate": 6.586339031921598e-06, + "loss": 2.6563, + "step": 2195 + }, + { + "epoch": 0.46, + "learning_rate": 6.5828475249922e-06, + "loss": 2.6107, + "step": 2196 + }, + { + "epoch": 0.46, + "learning_rate": 6.579355160050486e-06, + "loss": 2.6401, + "step": 2197 + }, + { + "epoch": 0.46, + "learning_rate": 6.575861938989556e-06, + "loss": 2.6106, + "step": 2198 + }, + { + "epoch": 0.46, + "learning_rate": 6.572367863702982e-06, + "loss": 2.632, + "step": 2199 + }, + { + "epoch": 0.46, + "learning_rate": 6.568872936084789e-06, + "loss": 2.6863, + "step": 2200 + }, + { + "epoch": 0.46, + "learning_rate": 6.56537715802947e-06, + "loss": 2.6323, + "step": 2201 + }, + { + "epoch": 0.46, + "learning_rate": 6.561880531431977e-06, + "loss": 2.6323, + "step": 2202 + }, + { + "epoch": 0.46, + "learning_rate": 6.558383058187723e-06, + "loss": 2.6985, + "step": 2203 + }, + { + "epoch": 0.46, + "learning_rate": 6.554884740192578e-06, + "loss": 2.6375, + "step": 2204 + }, + { + "epoch": 0.46, + "learning_rate": 6.5513855793428704e-06, + "loss": 2.6678, + "step": 2205 + }, + { + "epoch": 0.46, + "learning_rate": 6.54788557753539e-06, + "loss": 2.7157, + "step": 2206 + }, + { + "epoch": 0.46, + "learning_rate": 6.544384736667375e-06, + "loss": 2.6997, + "step": 2207 + }, + { + "epoch": 0.46, + "learning_rate": 6.540883058636524e-06, + "loss": 2.6676, + "step": 2208 + }, + { + "epoch": 0.46, + "learning_rate": 6.537380545340987e-06, + "loss": 2.7182, + "step": 2209 + }, + { + "epoch": 0.46, + "learning_rate": 6.533877198679367e-06, + "loss": 2.5994, + "step": 2210 + }, + { + "epoch": 0.46, + "learning_rate": 6.530373020550719e-06, + "loss": 2.6906, + "step": 2211 + }, + { + "epoch": 0.46, + "learning_rate": 6.526868012854549e-06, + "loss": 2.5979, + "step": 2212 + }, + { + "epoch": 0.46, + "learning_rate": 6.523362177490813e-06, + "loss": 2.5426, + "step": 2213 + }, + { + "epoch": 0.46, + "learning_rate": 6.5198555163599145e-06, + "loss": 2.6567, + "step": 2214 + }, + { + "epoch": 0.46, + "learning_rate": 6.516348031362705e-06, + "loss": 2.6364, + "step": 2215 + }, + { + "epoch": 0.46, + "learning_rate": 6.512839724400483e-06, + "loss": 2.7129, + "step": 2216 + }, + { + "epoch": 0.47, + "learning_rate": 6.509330597374993e-06, + "loss": 2.6228, + "step": 2217 + }, + { + "epoch": 0.47, + "learning_rate": 6.505820652188423e-06, + "loss": 2.6523, + "step": 2218 + }, + { + "epoch": 0.47, + "learning_rate": 6.502309890743405e-06, + "loss": 2.6646, + "step": 2219 + }, + { + "epoch": 0.47, + "learning_rate": 6.498798314943014e-06, + "loss": 2.6894, + "step": 2220 + }, + { + "epoch": 0.47, + "learning_rate": 6.495285926690762e-06, + "loss": 2.677, + "step": 2221 + }, + { + "epoch": 0.47, + "learning_rate": 6.49177272789061e-06, + "loss": 2.629, + "step": 2222 + }, + { + "epoch": 0.47, + "learning_rate": 6.4882587204469526e-06, + "loss": 2.6288, + "step": 2223 + }, + { + "epoch": 0.47, + "learning_rate": 6.484743906264621e-06, + "loss": 2.6987, + "step": 2224 + }, + { + "epoch": 0.47, + "learning_rate": 6.481228287248891e-06, + "loss": 2.7451, + "step": 2225 + }, + { + "epoch": 0.47, + "learning_rate": 6.477711865305465e-06, + "loss": 2.597, + "step": 2226 + }, + { + "epoch": 0.47, + "learning_rate": 6.47419464234049e-06, + "loss": 2.608, + "step": 2227 + }, + { + "epoch": 0.47, + "learning_rate": 6.470676620260539e-06, + "loss": 2.6789, + "step": 2228 + }, + { + "epoch": 0.47, + "learning_rate": 6.467157800972626e-06, + "loss": 2.7145, + "step": 2229 + }, + { + "epoch": 0.47, + "learning_rate": 6.463638186384191e-06, + "loss": 2.6441, + "step": 2230 + }, + { + "epoch": 0.47, + "learning_rate": 6.460117778403107e-06, + "loss": 2.6588, + "step": 2231 + }, + { + "epoch": 0.47, + "learning_rate": 6.456596578937682e-06, + "loss": 2.6432, + "step": 2232 + }, + { + "epoch": 0.47, + "learning_rate": 6.453074589896642e-06, + "loss": 2.6297, + "step": 2233 + }, + { + "epoch": 0.47, + "learning_rate": 6.44955181318915e-06, + "loss": 2.6008, + "step": 2234 + }, + { + "epoch": 0.47, + "learning_rate": 6.4460282507247955e-06, + "loss": 2.6748, + "step": 2235 + }, + { + "epoch": 0.47, + "learning_rate": 6.44250390441359e-06, + "loss": 2.669, + "step": 2236 + }, + { + "epoch": 0.47, + "learning_rate": 6.438978776165971e-06, + "loss": 2.6262, + "step": 2237 + }, + { + "epoch": 0.47, + "learning_rate": 6.435452867892803e-06, + "loss": 2.6532, + "step": 2238 + }, + { + "epoch": 0.47, + "learning_rate": 6.431926181505368e-06, + "loss": 2.6584, + "step": 2239 + }, + { + "epoch": 0.47, + "learning_rate": 6.428398718915377e-06, + "loss": 2.6827, + "step": 2240 + }, + { + "epoch": 0.47, + "learning_rate": 6.424870482034953e-06, + "loss": 2.7095, + "step": 2241 + }, + { + "epoch": 0.47, + "learning_rate": 6.421341472776646e-06, + "loss": 2.6855, + "step": 2242 + }, + { + "epoch": 0.47, + "learning_rate": 6.417811693053422e-06, + "loss": 2.6938, + "step": 2243 + }, + { + "epoch": 0.47, + "learning_rate": 6.414281144778662e-06, + "loss": 2.6846, + "step": 2244 + }, + { + "epoch": 0.47, + "learning_rate": 6.41074982986617e-06, + "loss": 2.7143, + "step": 2245 + }, + { + "epoch": 0.47, + "learning_rate": 6.407217750230159e-06, + "loss": 2.6086, + "step": 2246 + }, + { + "epoch": 0.47, + "learning_rate": 6.40368490778526e-06, + "loss": 2.6131, + "step": 2247 + }, + { + "epoch": 0.47, + "learning_rate": 6.4001513044465165e-06, + "loss": 2.6665, + "step": 2248 + }, + { + "epoch": 0.47, + "learning_rate": 6.3966169421293865e-06, + "loss": 2.6659, + "step": 2249 + }, + { + "epoch": 0.47, + "learning_rate": 6.393081822749735e-06, + "loss": 2.6735, + "step": 2250 + }, + { + "epoch": 0.47, + "learning_rate": 6.389545948223841e-06, + "loss": 2.6734, + "step": 2251 + }, + { + "epoch": 0.47, + "learning_rate": 6.386009320468393e-06, + "loss": 2.7476, + "step": 2252 + }, + { + "epoch": 0.47, + "learning_rate": 6.382471941400487e-06, + "loss": 2.761, + "step": 2253 + }, + { + "epoch": 0.47, + "learning_rate": 6.378933812937624e-06, + "loss": 2.6509, + "step": 2254 + }, + { + "epoch": 0.47, + "learning_rate": 6.3753949369977144e-06, + "loss": 2.7778, + "step": 2255 + }, + { + "epoch": 0.47, + "learning_rate": 6.3718553154990715e-06, + "loss": 2.6281, + "step": 2256 + }, + { + "epoch": 0.47, + "learning_rate": 6.368314950360416e-06, + "loss": 2.6756, + "step": 2257 + }, + { + "epoch": 0.47, + "learning_rate": 6.364773843500866e-06, + "loss": 2.691, + "step": 2258 + }, + { + "epoch": 0.47, + "learning_rate": 6.361231996839948e-06, + "loss": 2.6471, + "step": 2259 + }, + { + "epoch": 0.47, + "learning_rate": 6.3576894122975875e-06, + "loss": 2.6601, + "step": 2260 + }, + { + "epoch": 0.47, + "learning_rate": 6.354146091794105e-06, + "loss": 2.6104, + "step": 2261 + }, + { + "epoch": 0.47, + "learning_rate": 6.350602037250228e-06, + "loss": 2.6084, + "step": 2262 + }, + { + "epoch": 0.47, + "learning_rate": 6.347057250587076e-06, + "loss": 2.6456, + "step": 2263 + }, + { + "epoch": 0.47, + "learning_rate": 6.343511733726169e-06, + "loss": 2.6334, + "step": 2264 + }, + { + "epoch": 0.48, + "learning_rate": 6.33996548858942e-06, + "loss": 2.6882, + "step": 2265 + }, + { + "epoch": 0.48, + "learning_rate": 6.336418517099139e-06, + "loss": 2.6631, + "step": 2266 + }, + { + "epoch": 0.48, + "learning_rate": 6.332870821178028e-06, + "loss": 2.6559, + "step": 2267 + }, + { + "epoch": 0.48, + "learning_rate": 6.329322402749181e-06, + "loss": 2.7163, + "step": 2268 + }, + { + "epoch": 0.48, + "learning_rate": 6.325773263736088e-06, + "loss": 2.6896, + "step": 2269 + }, + { + "epoch": 0.48, + "learning_rate": 6.322223406062624e-06, + "loss": 2.7365, + "step": 2270 + }, + { + "epoch": 0.48, + "learning_rate": 6.318672831653058e-06, + "loss": 2.6482, + "step": 2271 + }, + { + "epoch": 0.48, + "learning_rate": 6.3151215424320456e-06, + "loss": 2.6986, + "step": 2272 + }, + { + "epoch": 0.48, + "learning_rate": 6.3115695403246295e-06, + "loss": 2.6829, + "step": 2273 + }, + { + "epoch": 0.48, + "learning_rate": 6.308016827256237e-06, + "loss": 2.6327, + "step": 2274 + }, + { + "epoch": 0.48, + "learning_rate": 6.304463405152687e-06, + "loss": 2.7324, + "step": 2275 + }, + { + "epoch": 0.48, + "learning_rate": 6.300909275940177e-06, + "loss": 2.6246, + "step": 2276 + }, + { + "epoch": 0.48, + "learning_rate": 6.2973544415452904e-06, + "loss": 2.6727, + "step": 2277 + }, + { + "epoch": 0.48, + "learning_rate": 6.293798903894991e-06, + "loss": 2.6373, + "step": 2278 + }, + { + "epoch": 0.48, + "learning_rate": 6.290242664916627e-06, + "loss": 2.5985, + "step": 2279 + }, + { + "epoch": 0.48, + "learning_rate": 6.286685726537923e-06, + "loss": 2.6756, + "step": 2280 + }, + { + "epoch": 0.48, + "learning_rate": 6.2831280906869845e-06, + "loss": 2.6671, + "step": 2281 + }, + { + "epoch": 0.48, + "learning_rate": 6.279569759292297e-06, + "loss": 2.656, + "step": 2282 + }, + { + "epoch": 0.48, + "learning_rate": 6.276010734282718e-06, + "loss": 2.6263, + "step": 2283 + }, + { + "epoch": 0.48, + "learning_rate": 6.272451017587485e-06, + "loss": 2.6064, + "step": 2284 + }, + { + "epoch": 0.48, + "learning_rate": 6.2688906111362115e-06, + "loss": 2.6916, + "step": 2285 + }, + { + "epoch": 0.48, + "learning_rate": 6.26532951685888e-06, + "loss": 2.5983, + "step": 2286 + }, + { + "epoch": 0.48, + "learning_rate": 6.261767736685851e-06, + "loss": 2.7233, + "step": 2287 + }, + { + "epoch": 0.48, + "learning_rate": 6.2582052725478526e-06, + "loss": 2.6235, + "step": 2288 + }, + { + "epoch": 0.48, + "learning_rate": 6.254642126375987e-06, + "loss": 2.6657, + "step": 2289 + }, + { + "epoch": 0.48, + "learning_rate": 6.251078300101725e-06, + "loss": 2.7661, + "step": 2290 + }, + { + "epoch": 0.48, + "learning_rate": 6.2475137956569055e-06, + "loss": 2.6466, + "step": 2291 + }, + { + "epoch": 0.48, + "learning_rate": 6.243948614973734e-06, + "loss": 2.6415, + "step": 2292 + }, + { + "epoch": 0.48, + "learning_rate": 6.2403827599847845e-06, + "loss": 2.6358, + "step": 2293 + }, + { + "epoch": 0.48, + "learning_rate": 6.2368162326229976e-06, + "loss": 2.6638, + "step": 2294 + }, + { + "epoch": 0.48, + "learning_rate": 6.233249034821673e-06, + "loss": 2.6445, + "step": 2295 + }, + { + "epoch": 0.48, + "learning_rate": 6.229681168514481e-06, + "loss": 2.6037, + "step": 2296 + }, + { + "epoch": 0.48, + "learning_rate": 6.22611263563545e-06, + "loss": 2.6929, + "step": 2297 + }, + { + "epoch": 0.48, + "learning_rate": 6.222543438118968e-06, + "loss": 2.6239, + "step": 2298 + }, + { + "epoch": 0.48, + "learning_rate": 6.218973577899787e-06, + "loss": 2.633, + "step": 2299 + }, + { + "epoch": 0.48, + "learning_rate": 6.215403056913018e-06, + "loss": 2.5738, + "step": 2300 + }, + { + "epoch": 0.48, + "learning_rate": 6.211831877094131e-06, + "loss": 2.7019, + "step": 2301 + }, + { + "epoch": 0.48, + "learning_rate": 6.208260040378946e-06, + "loss": 2.5788, + "step": 2302 + }, + { + "epoch": 0.48, + "learning_rate": 6.204687548703649e-06, + "loss": 2.7252, + "step": 2303 + }, + { + "epoch": 0.48, + "learning_rate": 6.2011144040047755e-06, + "loss": 2.6874, + "step": 2304 + }, + { + "epoch": 0.48, + "learning_rate": 6.1975406082192124e-06, + "loss": 2.6715, + "step": 2305 + }, + { + "epoch": 0.48, + "learning_rate": 6.193966163284207e-06, + "loss": 2.6905, + "step": 2306 + }, + { + "epoch": 0.48, + "learning_rate": 6.190391071137355e-06, + "loss": 2.7034, + "step": 2307 + }, + { + "epoch": 0.48, + "learning_rate": 6.186815333716598e-06, + "loss": 2.6329, + "step": 2308 + }, + { + "epoch": 0.48, + "learning_rate": 6.183238952960236e-06, + "loss": 2.6543, + "step": 2309 + }, + { + "epoch": 0.48, + "learning_rate": 6.179661930806912e-06, + "loss": 2.7285, + "step": 2310 + }, + { + "epoch": 0.48, + "learning_rate": 6.176084269195617e-06, + "loss": 2.671, + "step": 2311 + }, + { + "epoch": 0.48, + "learning_rate": 6.172505970065692e-06, + "loss": 2.6806, + "step": 2312 + }, + { + "epoch": 0.49, + "learning_rate": 6.1689270353568205e-06, + "loss": 2.6669, + "step": 2313 + }, + { + "epoch": 0.49, + "learning_rate": 6.1653474670090315e-06, + "loss": 2.7325, + "step": 2314 + }, + { + "epoch": 0.49, + "learning_rate": 6.1617672669626975e-06, + "loss": 2.5708, + "step": 2315 + }, + { + "epoch": 0.49, + "learning_rate": 6.1581864371585345e-06, + "loss": 2.7672, + "step": 2316 + }, + { + "epoch": 0.49, + "learning_rate": 6.154604979537597e-06, + "loss": 2.6032, + "step": 2317 + }, + { + "epoch": 0.49, + "learning_rate": 6.151022896041281e-06, + "loss": 2.6126, + "step": 2318 + }, + { + "epoch": 0.49, + "learning_rate": 6.147440188611324e-06, + "loss": 2.643, + "step": 2319 + }, + { + "epoch": 0.49, + "learning_rate": 6.143856859189801e-06, + "loss": 2.6268, + "step": 2320 + }, + { + "epoch": 0.49, + "learning_rate": 6.14027290971912e-06, + "loss": 2.6439, + "step": 2321 + }, + { + "epoch": 0.49, + "learning_rate": 6.136688342142031e-06, + "loss": 2.6419, + "step": 2322 + }, + { + "epoch": 0.49, + "learning_rate": 6.133103158401614e-06, + "loss": 2.732, + "step": 2323 + }, + { + "epoch": 0.49, + "learning_rate": 6.1295173604412896e-06, + "loss": 2.6553, + "step": 2324 + }, + { + "epoch": 0.49, + "learning_rate": 6.1259309502048015e-06, + "loss": 2.5888, + "step": 2325 + }, + { + "epoch": 0.49, + "learning_rate": 6.122343929636236e-06, + "loss": 2.6877, + "step": 2326 + }, + { + "epoch": 0.49, + "learning_rate": 6.118756300680002e-06, + "loss": 2.7013, + "step": 2327 + }, + { + "epoch": 0.49, + "learning_rate": 6.115168065280842e-06, + "loss": 2.7469, + "step": 2328 + }, + { + "epoch": 0.49, + "learning_rate": 6.111579225383828e-06, + "loss": 2.6236, + "step": 2329 + }, + { + "epoch": 0.49, + "learning_rate": 6.107989782934356e-06, + "loss": 2.6571, + "step": 2330 + }, + { + "epoch": 0.49, + "learning_rate": 6.104399739878153e-06, + "loss": 2.6487, + "step": 2331 + }, + { + "epoch": 0.49, + "learning_rate": 6.100809098161268e-06, + "loss": 2.6545, + "step": 2332 + }, + { + "epoch": 0.49, + "learning_rate": 6.097217859730077e-06, + "loss": 2.6378, + "step": 2333 + }, + { + "epoch": 0.49, + "learning_rate": 6.0936260265312774e-06, + "loss": 2.6689, + "step": 2334 + }, + { + "epoch": 0.49, + "learning_rate": 6.09003360051189e-06, + "loss": 2.6799, + "step": 2335 + }, + { + "epoch": 0.49, + "learning_rate": 6.0864405836192575e-06, + "loss": 2.5981, + "step": 2336 + }, + { + "epoch": 0.49, + "learning_rate": 6.082846977801043e-06, + "loss": 2.7446, + "step": 2337 + }, + { + "epoch": 0.49, + "learning_rate": 6.0792527850052284e-06, + "loss": 2.6462, + "step": 2338 + }, + { + "epoch": 0.49, + "learning_rate": 6.075658007180112e-06, + "loss": 2.6056, + "step": 2339 + }, + { + "epoch": 0.49, + "learning_rate": 6.072062646274312e-06, + "loss": 2.6472, + "step": 2340 + }, + { + "epoch": 0.49, + "learning_rate": 6.068466704236761e-06, + "loss": 2.6964, + "step": 2341 + }, + { + "epoch": 0.49, + "learning_rate": 6.064870183016707e-06, + "loss": 2.6976, + "step": 2342 + }, + { + "epoch": 0.49, + "learning_rate": 6.061273084563712e-06, + "loss": 2.6996, + "step": 2343 + }, + { + "epoch": 0.49, + "learning_rate": 6.057675410827654e-06, + "loss": 2.591, + "step": 2344 + }, + { + "epoch": 0.49, + "learning_rate": 6.054077163758713e-06, + "loss": 2.612, + "step": 2345 + }, + { + "epoch": 0.49, + "learning_rate": 6.050478345307395e-06, + "loss": 2.7057, + "step": 2346 + }, + { + "epoch": 0.49, + "learning_rate": 6.0468789574245e-06, + "loss": 2.5794, + "step": 2347 + }, + { + "epoch": 0.49, + "learning_rate": 6.043279002061149e-06, + "loss": 2.608, + "step": 2348 + }, + { + "epoch": 0.49, + "learning_rate": 6.039678481168761e-06, + "loss": 2.7182, + "step": 2349 + }, + { + "epoch": 0.49, + "learning_rate": 6.036077396699072e-06, + "loss": 2.6355, + "step": 2350 + }, + { + "epoch": 0.49, + "learning_rate": 6.032475750604115e-06, + "loss": 2.684, + "step": 2351 + }, + { + "epoch": 0.49, + "learning_rate": 6.028873544836225e-06, + "loss": 2.6642, + "step": 2352 + }, + { + "epoch": 0.49, + "learning_rate": 6.025270781348055e-06, + "loss": 2.6382, + "step": 2353 + }, + { + "epoch": 0.49, + "learning_rate": 6.0216674620925445e-06, + "loss": 2.6262, + "step": 2354 + }, + { + "epoch": 0.49, + "learning_rate": 6.01806358902294e-06, + "loss": 2.7556, + "step": 2355 + }, + { + "epoch": 0.49, + "learning_rate": 6.014459164092793e-06, + "loss": 2.7119, + "step": 2356 + }, + { + "epoch": 0.49, + "learning_rate": 6.010854189255948e-06, + "loss": 2.6821, + "step": 2357 + }, + { + "epoch": 0.49, + "learning_rate": 6.007248666466548e-06, + "loss": 2.6781, + "step": 2358 + }, + { + "epoch": 0.49, + "learning_rate": 6.003642597679036e-06, + "loss": 2.7182, + "step": 2359 + }, + { + "epoch": 0.5, + "learning_rate": 6.00003598484815e-06, + "loss": 2.7197, + "step": 2360 + }, + { + "epoch": 0.5, + "learning_rate": 5.996428829928921e-06, + "loss": 2.5993, + "step": 2361 + }, + { + "epoch": 0.5, + "learning_rate": 5.992821134876675e-06, + "loss": 2.6254, + "step": 2362 + }, + { + "epoch": 0.5, + "learning_rate": 5.989212901647034e-06, + "loss": 2.6326, + "step": 2363 + }, + { + "epoch": 0.5, + "learning_rate": 5.985604132195907e-06, + "loss": 2.6796, + "step": 2364 + }, + { + "epoch": 0.5, + "learning_rate": 5.9819948284794934e-06, + "loss": 2.6547, + "step": 2365 + }, + { + "epoch": 0.5, + "learning_rate": 5.978384992454287e-06, + "loss": 2.6236, + "step": 2366 + }, + { + "epoch": 0.5, + "learning_rate": 5.974774626077068e-06, + "loss": 2.6473, + "step": 2367 + }, + { + "epoch": 0.5, + "learning_rate": 5.971163731304901e-06, + "loss": 2.6648, + "step": 2368 + }, + { + "epoch": 0.5, + "learning_rate": 5.967552310095139e-06, + "loss": 2.7312, + "step": 2369 + }, + { + "epoch": 0.5, + "learning_rate": 5.963940364405425e-06, + "loss": 2.669, + "step": 2370 + }, + { + "epoch": 0.5, + "learning_rate": 5.960327896193677e-06, + "loss": 2.6204, + "step": 2371 + }, + { + "epoch": 0.5, + "learning_rate": 5.9567149074181065e-06, + "loss": 2.6389, + "step": 2372 + }, + { + "epoch": 0.5, + "learning_rate": 5.953101400037198e-06, + "loss": 2.6826, + "step": 2373 + }, + { + "epoch": 0.5, + "learning_rate": 5.949487376009723e-06, + "loss": 2.6967, + "step": 2374 + }, + { + "epoch": 0.5, + "learning_rate": 5.9458728372947325e-06, + "loss": 2.6348, + "step": 2375 + }, + { + "epoch": 0.5, + "learning_rate": 5.942257785851554e-06, + "loss": 2.7018, + "step": 2376 + }, + { + "epoch": 0.5, + "learning_rate": 5.938642223639794e-06, + "loss": 2.566, + "step": 2377 + }, + { + "epoch": 0.5, + "learning_rate": 5.935026152619338e-06, + "loss": 2.6348, + "step": 2378 + }, + { + "epoch": 0.5, + "learning_rate": 5.931409574750341e-06, + "loss": 2.6891, + "step": 2379 + }, + { + "epoch": 0.5, + "learning_rate": 5.927792491993242e-06, + "loss": 2.6055, + "step": 2380 + }, + { + "epoch": 0.5, + "learning_rate": 5.924174906308746e-06, + "loss": 2.7235, + "step": 2381 + }, + { + "epoch": 0.5, + "learning_rate": 5.920556819657834e-06, + "loss": 2.6771, + "step": 2382 + }, + { + "epoch": 0.5, + "learning_rate": 5.916938234001759e-06, + "loss": 2.6831, + "step": 2383 + }, + { + "epoch": 0.5, + "learning_rate": 5.91331915130204e-06, + "loss": 2.6476, + "step": 2384 + }, + { + "epoch": 0.5, + "learning_rate": 5.909699573520475e-06, + "loss": 2.6575, + "step": 2385 + }, + { + "epoch": 0.5, + "learning_rate": 5.90607950261912e-06, + "loss": 2.6737, + "step": 2386 + }, + { + "epoch": 0.5, + "learning_rate": 5.902458940560304e-06, + "loss": 2.718, + "step": 2387 + }, + { + "epoch": 0.5, + "learning_rate": 5.8988378893066216e-06, + "loss": 2.676, + "step": 2388 + }, + { + "epoch": 0.5, + "learning_rate": 5.895216350820928e-06, + "loss": 2.6771, + "step": 2389 + }, + { + "epoch": 0.5, + "learning_rate": 5.891594327066351e-06, + "loss": 2.6621, + "step": 2390 + }, + { + "epoch": 0.5, + "learning_rate": 5.887971820006275e-06, + "loss": 2.5823, + "step": 2391 + }, + { + "epoch": 0.5, + "learning_rate": 5.8843488316043465e-06, + "loss": 2.6023, + "step": 2392 + }, + { + "epoch": 0.5, + "learning_rate": 5.880725363824477e-06, + "loss": 2.649, + "step": 2393 + }, + { + "epoch": 0.5, + "learning_rate": 5.877101418630836e-06, + "loss": 2.6288, + "step": 2394 + }, + { + "epoch": 0.5, + "learning_rate": 5.873476997987848e-06, + "loss": 2.5761, + "step": 2395 + }, + { + "epoch": 0.5, + "learning_rate": 5.869852103860203e-06, + "loss": 2.5876, + "step": 2396 + }, + { + "epoch": 0.5, + "learning_rate": 5.866226738212838e-06, + "loss": 2.6608, + "step": 2397 + }, + { + "epoch": 0.5, + "learning_rate": 5.862600903010955e-06, + "loss": 2.7348, + "step": 2398 + }, + { + "epoch": 0.5, + "learning_rate": 5.858974600220002e-06, + "loss": 2.5687, + "step": 2399 + }, + { + "epoch": 0.5, + "learning_rate": 5.85534783180569e-06, + "loss": 2.6701, + "step": 2400 + }, + { + "epoch": 0.5, + "learning_rate": 5.8517205997339745e-06, + "loss": 2.665, + "step": 2401 + }, + { + "epoch": 0.5, + "learning_rate": 5.848092905971062e-06, + "loss": 2.6485, + "step": 2402 + }, + { + "epoch": 0.5, + "learning_rate": 5.8444647524834175e-06, + "loss": 2.6918, + "step": 2403 + }, + { + "epoch": 0.5, + "learning_rate": 5.8408361412377475e-06, + "loss": 2.6414, + "step": 2404 + }, + { + "epoch": 0.5, + "learning_rate": 5.837207074201009e-06, + "loss": 2.5748, + "step": 2405 + }, + { + "epoch": 0.5, + "learning_rate": 5.833577553340406e-06, + "loss": 2.7079, + "step": 2406 + }, + { + "epoch": 0.5, + "learning_rate": 5.829947580623389e-06, + "loss": 2.6633, + "step": 2407 + }, + { + "epoch": 0.51, + "learning_rate": 5.826317158017652e-06, + "loss": 2.5891, + "step": 2408 + }, + { + "epoch": 0.51, + "learning_rate": 5.822686287491135e-06, + "loss": 2.7186, + "step": 2409 + }, + { + "epoch": 0.51, + "learning_rate": 5.819054971012021e-06, + "loss": 2.6201, + "step": 2410 + }, + { + "epoch": 0.51, + "learning_rate": 5.815423210548733e-06, + "loss": 2.7069, + "step": 2411 + }, + { + "epoch": 0.51, + "learning_rate": 5.811791008069932e-06, + "loss": 2.6388, + "step": 2412 + }, + { + "epoch": 0.51, + "learning_rate": 5.808158365544526e-06, + "loss": 2.5819, + "step": 2413 + }, + { + "epoch": 0.51, + "learning_rate": 5.804525284941656e-06, + "loss": 2.757, + "step": 2414 + }, + { + "epoch": 0.51, + "learning_rate": 5.8008917682307e-06, + "loss": 2.6321, + "step": 2415 + }, + { + "epoch": 0.51, + "learning_rate": 5.797257817381275e-06, + "loss": 2.6303, + "step": 2416 + }, + { + "epoch": 0.51, + "learning_rate": 5.793623434363234e-06, + "loss": 2.7753, + "step": 2417 + }, + { + "epoch": 0.51, + "learning_rate": 5.789988621146662e-06, + "loss": 2.6921, + "step": 2418 + }, + { + "epoch": 0.51, + "learning_rate": 5.786353379701876e-06, + "loss": 2.6491, + "step": 2419 + }, + { + "epoch": 0.51, + "learning_rate": 5.7827177119994295e-06, + "loss": 2.6384, + "step": 2420 + }, + { + "epoch": 0.51, + "learning_rate": 5.779081620010104e-06, + "loss": 2.7265, + "step": 2421 + }, + { + "epoch": 0.51, + "learning_rate": 5.775445105704911e-06, + "loss": 2.6475, + "step": 2422 + }, + { + "epoch": 0.51, + "learning_rate": 5.771808171055093e-06, + "loss": 2.6921, + "step": 2423 + }, + { + "epoch": 0.51, + "learning_rate": 5.7681708180321186e-06, + "loss": 2.6509, + "step": 2424 + }, + { + "epoch": 0.51, + "learning_rate": 5.764533048607683e-06, + "loss": 2.6544, + "step": 2425 + }, + { + "epoch": 0.51, + "learning_rate": 5.760894864753705e-06, + "loss": 2.5806, + "step": 2426 + }, + { + "epoch": 0.51, + "learning_rate": 5.757256268442336e-06, + "loss": 2.7059, + "step": 2427 + }, + { + "epoch": 0.51, + "learning_rate": 5.753617261645943e-06, + "loss": 2.6141, + "step": 2428 + }, + { + "epoch": 0.51, + "learning_rate": 5.749977846337117e-06, + "loss": 2.6742, + "step": 2429 + }, + { + "epoch": 0.51, + "learning_rate": 5.746338024488674e-06, + "loss": 2.5911, + "step": 2430 + }, + { + "epoch": 0.51, + "learning_rate": 5.742697798073645e-06, + "loss": 2.7477, + "step": 2431 + }, + { + "epoch": 0.51, + "learning_rate": 5.7390571690652865e-06, + "loss": 2.6306, + "step": 2432 + }, + { + "epoch": 0.51, + "learning_rate": 5.735416139437067e-06, + "loss": 2.5899, + "step": 2433 + }, + { + "epoch": 0.51, + "learning_rate": 5.731774711162679e-06, + "loss": 2.7124, + "step": 2434 + }, + { + "epoch": 0.51, + "learning_rate": 5.728132886216024e-06, + "loss": 2.589, + "step": 2435 + }, + { + "epoch": 0.51, + "learning_rate": 5.724490666571223e-06, + "loss": 2.6137, + "step": 2436 + }, + { + "epoch": 0.51, + "learning_rate": 5.72084805420261e-06, + "loss": 2.6335, + "step": 2437 + }, + { + "epoch": 0.51, + "learning_rate": 5.717205051084731e-06, + "loss": 2.6438, + "step": 2438 + }, + { + "epoch": 0.51, + "learning_rate": 5.713561659192344e-06, + "loss": 2.6924, + "step": 2439 + }, + { + "epoch": 0.51, + "learning_rate": 5.709917880500421e-06, + "loss": 2.6231, + "step": 2440 + }, + { + "epoch": 0.51, + "learning_rate": 5.706273716984138e-06, + "loss": 2.6835, + "step": 2441 + }, + { + "epoch": 0.51, + "learning_rate": 5.702629170618883e-06, + "loss": 2.6564, + "step": 2442 + }, + { + "epoch": 0.51, + "learning_rate": 5.69898424338025e-06, + "loss": 2.6796, + "step": 2443 + }, + { + "epoch": 0.51, + "learning_rate": 5.695338937244043e-06, + "loss": 2.6499, + "step": 2444 + }, + { + "epoch": 0.51, + "learning_rate": 5.691693254186268e-06, + "loss": 2.6737, + "step": 2445 + }, + { + "epoch": 0.51, + "learning_rate": 5.688047196183135e-06, + "loss": 2.5916, + "step": 2446 + }, + { + "epoch": 0.51, + "learning_rate": 5.68440076521106e-06, + "loss": 2.6264, + "step": 2447 + }, + { + "epoch": 0.51, + "learning_rate": 5.680753963246659e-06, + "loss": 2.6874, + "step": 2448 + }, + { + "epoch": 0.51, + "learning_rate": 5.677106792266748e-06, + "loss": 2.6396, + "step": 2449 + }, + { + "epoch": 0.51, + "learning_rate": 5.673459254248348e-06, + "loss": 2.6445, + "step": 2450 + }, + { + "epoch": 0.51, + "learning_rate": 5.669811351168674e-06, + "loss": 2.5818, + "step": 2451 + }, + { + "epoch": 0.51, + "learning_rate": 5.66616308500514e-06, + "loss": 2.677, + "step": 2452 + }, + { + "epoch": 0.51, + "learning_rate": 5.662514457735357e-06, + "loss": 2.6552, + "step": 2453 + }, + { + "epoch": 0.51, + "learning_rate": 5.6588654713371335e-06, + "loss": 2.6647, + "step": 2454 + }, + { + "epoch": 0.51, + "learning_rate": 5.655216127788472e-06, + "loss": 2.5916, + "step": 2455 + }, + { + "epoch": 0.52, + "learning_rate": 5.651566429067566e-06, + "loss": 2.6386, + "step": 2456 + }, + { + "epoch": 0.52, + "learning_rate": 5.647916377152803e-06, + "loss": 2.6703, + "step": 2457 + }, + { + "epoch": 0.52, + "learning_rate": 5.644265974022766e-06, + "loss": 2.6478, + "step": 2458 + }, + { + "epoch": 0.52, + "learning_rate": 5.64061522165622e-06, + "loss": 2.7191, + "step": 2459 + }, + { + "epoch": 0.52, + "learning_rate": 5.6369641220321285e-06, + "loss": 2.6172, + "step": 2460 + }, + { + "epoch": 0.52, + "learning_rate": 5.633312677129635e-06, + "loss": 2.656, + "step": 2461 + }, + { + "epoch": 0.52, + "learning_rate": 5.629660888928078e-06, + "loss": 2.6756, + "step": 2462 + }, + { + "epoch": 0.52, + "learning_rate": 5.626008759406973e-06, + "loss": 2.685, + "step": 2463 + }, + { + "epoch": 0.52, + "learning_rate": 5.622356290546031e-06, + "loss": 2.6683, + "step": 2464 + }, + { + "epoch": 0.52, + "learning_rate": 5.618703484325138e-06, + "loss": 2.7485, + "step": 2465 + }, + { + "epoch": 0.52, + "learning_rate": 5.615050342724368e-06, + "loss": 2.6274, + "step": 2466 + }, + { + "epoch": 0.52, + "learning_rate": 5.611396867723974e-06, + "loss": 2.7015, + "step": 2467 + }, + { + "epoch": 0.52, + "learning_rate": 5.607743061304391e-06, + "loss": 2.7141, + "step": 2468 + }, + { + "epoch": 0.52, + "learning_rate": 5.604088925446234e-06, + "loss": 2.6667, + "step": 2469 + }, + { + "epoch": 0.52, + "learning_rate": 5.600434462130296e-06, + "loss": 2.6072, + "step": 2470 + }, + { + "epoch": 0.52, + "learning_rate": 5.59677967333755e-06, + "loss": 2.6509, + "step": 2471 + }, + { + "epoch": 0.52, + "learning_rate": 5.593124561049141e-06, + "loss": 2.6117, + "step": 2472 + }, + { + "epoch": 0.52, + "learning_rate": 5.58946912724639e-06, + "loss": 2.5953, + "step": 2473 + }, + { + "epoch": 0.52, + "learning_rate": 5.585813373910797e-06, + "loss": 2.6499, + "step": 2474 + }, + { + "epoch": 0.52, + "learning_rate": 5.58215730302403e-06, + "loss": 2.5894, + "step": 2475 + }, + { + "epoch": 0.52, + "learning_rate": 5.578500916567929e-06, + "loss": 2.6359, + "step": 2476 + }, + { + "epoch": 0.52, + "learning_rate": 5.574844216524512e-06, + "loss": 2.708, + "step": 2477 + }, + { + "epoch": 0.52, + "learning_rate": 5.57118720487596e-06, + "loss": 2.6469, + "step": 2478 + }, + { + "epoch": 0.52, + "learning_rate": 5.567529883604623e-06, + "loss": 2.7058, + "step": 2479 + }, + { + "epoch": 0.52, + "learning_rate": 5.563872254693023e-06, + "loss": 2.6455, + "step": 2480 + }, + { + "epoch": 0.52, + "learning_rate": 5.5602143201238455e-06, + "loss": 2.6648, + "step": 2481 + }, + { + "epoch": 0.52, + "learning_rate": 5.556556081879945e-06, + "loss": 2.6647, + "step": 2482 + }, + { + "epoch": 0.52, + "learning_rate": 5.552897541944335e-06, + "loss": 2.7041, + "step": 2483 + }, + { + "epoch": 0.52, + "learning_rate": 5.549238702300201e-06, + "loss": 2.6327, + "step": 2484 + }, + { + "epoch": 0.52, + "learning_rate": 5.545579564930882e-06, + "loss": 2.6958, + "step": 2485 + }, + { + "epoch": 0.52, + "learning_rate": 5.541920131819883e-06, + "loss": 2.6781, + "step": 2486 + }, + { + "epoch": 0.52, + "learning_rate": 5.538260404950868e-06, + "loss": 2.6084, + "step": 2487 + }, + { + "epoch": 0.52, + "learning_rate": 5.5346003863076625e-06, + "loss": 2.6837, + "step": 2488 + }, + { + "epoch": 0.52, + "learning_rate": 5.530940077874248e-06, + "loss": 2.6415, + "step": 2489 + }, + { + "epoch": 0.52, + "learning_rate": 5.527279481634763e-06, + "loss": 2.6302, + "step": 2490 + }, + { + "epoch": 0.52, + "learning_rate": 5.523618599573505e-06, + "loss": 2.6959, + "step": 2491 + }, + { + "epoch": 0.52, + "learning_rate": 5.519957433674921e-06, + "loss": 2.6286, + "step": 2492 + }, + { + "epoch": 0.52, + "learning_rate": 5.516295985923614e-06, + "loss": 2.6848, + "step": 2493 + }, + { + "epoch": 0.52, + "learning_rate": 5.512634258304345e-06, + "loss": 2.6512, + "step": 2494 + }, + { + "epoch": 0.52, + "learning_rate": 5.508972252802021e-06, + "loss": 2.6381, + "step": 2495 + }, + { + "epoch": 0.52, + "learning_rate": 5.505309971401698e-06, + "loss": 2.6623, + "step": 2496 + }, + { + "epoch": 0.52, + "learning_rate": 5.5016474160885895e-06, + "loss": 2.664, + "step": 2497 + }, + { + "epoch": 0.52, + "learning_rate": 5.497984588848049e-06, + "loss": 2.6386, + "step": 2498 + }, + { + "epoch": 0.52, + "learning_rate": 5.494321491665582e-06, + "loss": 2.7303, + "step": 2499 + }, + { + "epoch": 0.52, + "learning_rate": 5.490658126526839e-06, + "loss": 2.6077, + "step": 2500 + }, + { + "epoch": 0.52, + "learning_rate": 5.486994495417617e-06, + "loss": 2.661, + "step": 2501 + }, + { + "epoch": 0.52, + "learning_rate": 5.483330600323856e-06, + "loss": 2.6634, + "step": 2502 + }, + { + "epoch": 0.53, + "learning_rate": 5.479666443231638e-06, + "loss": 2.7236, + "step": 2503 + }, + { + "epoch": 0.53, + "learning_rate": 5.476002026127191e-06, + "loss": 2.6422, + "step": 2504 + }, + { + "epoch": 0.53, + "learning_rate": 5.4723373509968784e-06, + "loss": 2.5998, + "step": 2505 + }, + { + "epoch": 0.53, + "learning_rate": 5.468672419827208e-06, + "loss": 2.6579, + "step": 2506 + }, + { + "epoch": 0.53, + "learning_rate": 5.465007234604823e-06, + "loss": 2.6539, + "step": 2507 + }, + { + "epoch": 0.53, + "learning_rate": 5.46134179731651e-06, + "loss": 2.6315, + "step": 2508 + }, + { + "epoch": 0.53, + "learning_rate": 5.457676109949186e-06, + "loss": 2.6266, + "step": 2509 + }, + { + "epoch": 0.53, + "learning_rate": 5.454010174489904e-06, + "loss": 2.6705, + "step": 2510 + }, + { + "epoch": 0.53, + "learning_rate": 5.4503439929258575e-06, + "loss": 2.6654, + "step": 2511 + }, + { + "epoch": 0.53, + "learning_rate": 5.446677567244366e-06, + "loss": 2.6761, + "step": 2512 + }, + { + "epoch": 0.53, + "learning_rate": 5.443010899432885e-06, + "loss": 2.6101, + "step": 2513 + }, + { + "epoch": 0.53, + "learning_rate": 5.439343991479001e-06, + "loss": 2.7103, + "step": 2514 + }, + { + "epoch": 0.53, + "learning_rate": 5.435676845370432e-06, + "loss": 2.7172, + "step": 2515 + }, + { + "epoch": 0.53, + "learning_rate": 5.432009463095022e-06, + "loss": 2.6422, + "step": 2516 + }, + { + "epoch": 0.53, + "learning_rate": 5.4283418466407454e-06, + "loss": 2.6411, + "step": 2517 + }, + { + "epoch": 0.53, + "learning_rate": 5.424673997995702e-06, + "loss": 2.6572, + "step": 2518 + }, + { + "epoch": 0.53, + "learning_rate": 5.421005919148119e-06, + "loss": 2.7137, + "step": 2519 + }, + { + "epoch": 0.53, + "learning_rate": 5.417337612086348e-06, + "loss": 2.5854, + "step": 2520 + }, + { + "epoch": 0.53, + "learning_rate": 5.413669078798863e-06, + "loss": 2.6196, + "step": 2521 + }, + { + "epoch": 0.53, + "learning_rate": 5.410000321274262e-06, + "loss": 2.6426, + "step": 2522 + }, + { + "epoch": 0.53, + "learning_rate": 5.406331341501264e-06, + "loss": 2.6591, + "step": 2523 + }, + { + "epoch": 0.53, + "learning_rate": 5.402662141468709e-06, + "loss": 2.6216, + "step": 2524 + }, + { + "epoch": 0.53, + "learning_rate": 5.398992723165556e-06, + "loss": 2.6204, + "step": 2525 + }, + { + "epoch": 0.53, + "learning_rate": 5.395323088580881e-06, + "loss": 2.6852, + "step": 2526 + }, + { + "epoch": 0.53, + "learning_rate": 5.39165323970388e-06, + "loss": 2.6667, + "step": 2527 + }, + { + "epoch": 0.53, + "learning_rate": 5.387983178523863e-06, + "loss": 2.6476, + "step": 2528 + }, + { + "epoch": 0.53, + "learning_rate": 5.384312907030257e-06, + "loss": 2.6053, + "step": 2529 + }, + { + "epoch": 0.53, + "learning_rate": 5.3806424272126e-06, + "loss": 2.6773, + "step": 2530 + }, + { + "epoch": 0.53, + "learning_rate": 5.3769717410605445e-06, + "loss": 2.6699, + "step": 2531 + }, + { + "epoch": 0.53, + "learning_rate": 5.373300850563858e-06, + "loss": 2.6606, + "step": 2532 + }, + { + "epoch": 0.53, + "learning_rate": 5.369629757712412e-06, + "loss": 2.6871, + "step": 2533 + }, + { + "epoch": 0.53, + "learning_rate": 5.365958464496196e-06, + "loss": 2.5946, + "step": 2534 + }, + { + "epoch": 0.53, + "learning_rate": 5.3622869729052996e-06, + "loss": 2.6361, + "step": 2535 + }, + { + "epoch": 0.53, + "learning_rate": 5.358615284929927e-06, + "loss": 2.6942, + "step": 2536 + }, + { + "epoch": 0.53, + "learning_rate": 5.354943402560382e-06, + "loss": 2.6008, + "step": 2537 + }, + { + "epoch": 0.53, + "learning_rate": 5.3512713277870806e-06, + "loss": 2.6507, + "step": 2538 + }, + { + "epoch": 0.53, + "learning_rate": 5.34759906260054e-06, + "loss": 2.6595, + "step": 2539 + }, + { + "epoch": 0.53, + "learning_rate": 5.34392660899138e-06, + "loss": 2.6514, + "step": 2540 + }, + { + "epoch": 0.53, + "learning_rate": 5.340253968950323e-06, + "loss": 2.6078, + "step": 2541 + }, + { + "epoch": 0.53, + "learning_rate": 5.3365811444681925e-06, + "loss": 2.6501, + "step": 2542 + }, + { + "epoch": 0.53, + "learning_rate": 5.332908137535915e-06, + "loss": 2.6146, + "step": 2543 + }, + { + "epoch": 0.53, + "learning_rate": 5.3292349501445086e-06, + "loss": 2.6602, + "step": 2544 + }, + { + "epoch": 0.53, + "learning_rate": 5.325561584285097e-06, + "loss": 2.6768, + "step": 2545 + }, + { + "epoch": 0.53, + "learning_rate": 5.321888041948897e-06, + "loss": 2.7354, + "step": 2546 + }, + { + "epoch": 0.53, + "learning_rate": 5.318214325127219e-06, + "loss": 2.6446, + "step": 2547 + }, + { + "epoch": 0.53, + "learning_rate": 5.314540435811474e-06, + "loss": 2.6017, + "step": 2548 + }, + { + "epoch": 0.53, + "learning_rate": 5.31086637599316e-06, + "loss": 2.68, + "step": 2549 + }, + { + "epoch": 0.53, + "learning_rate": 5.307192147663871e-06, + "loss": 2.7121, + "step": 2550 + }, + { + "epoch": 0.54, + "learning_rate": 5.303517752815294e-06, + "loss": 2.6497, + "step": 2551 + }, + { + "epoch": 0.54, + "learning_rate": 5.299843193439202e-06, + "loss": 2.6255, + "step": 2552 + }, + { + "epoch": 0.54, + "learning_rate": 5.296168471527457e-06, + "loss": 2.6539, + "step": 2553 + }, + { + "epoch": 0.54, + "learning_rate": 5.292493589072014e-06, + "loss": 2.6317, + "step": 2554 + }, + { + "epoch": 0.54, + "learning_rate": 5.2888185480649115e-06, + "loss": 2.6419, + "step": 2555 + }, + { + "epoch": 0.54, + "learning_rate": 5.285143350498275e-06, + "loss": 2.6579, + "step": 2556 + }, + { + "epoch": 0.54, + "learning_rate": 5.281467998364314e-06, + "loss": 2.6572, + "step": 2557 + }, + { + "epoch": 0.54, + "learning_rate": 5.277792493655325e-06, + "loss": 2.6325, + "step": 2558 + }, + { + "epoch": 0.54, + "learning_rate": 5.274116838363681e-06, + "loss": 2.637, + "step": 2559 + }, + { + "epoch": 0.54, + "learning_rate": 5.270441034481841e-06, + "loss": 2.7018, + "step": 2560 + }, + { + "epoch": 0.54, + "learning_rate": 5.266765084002345e-06, + "loss": 2.6837, + "step": 2561 + }, + { + "epoch": 0.54, + "learning_rate": 5.263088988917809e-06, + "loss": 2.706, + "step": 2562 + }, + { + "epoch": 0.54, + "learning_rate": 5.259412751220932e-06, + "loss": 2.6659, + "step": 2563 + }, + { + "epoch": 0.54, + "learning_rate": 5.255736372904486e-06, + "loss": 2.7235, + "step": 2564 + }, + { + "epoch": 0.54, + "learning_rate": 5.252059855961325e-06, + "loss": 2.5623, + "step": 2565 + }, + { + "epoch": 0.54, + "learning_rate": 5.248383202384367e-06, + "loss": 2.6232, + "step": 2566 + }, + { + "epoch": 0.54, + "learning_rate": 5.244706414166618e-06, + "loss": 2.6269, + "step": 2567 + }, + { + "epoch": 0.54, + "learning_rate": 5.241029493301148e-06, + "loss": 2.6381, + "step": 2568 + }, + { + "epoch": 0.54, + "learning_rate": 5.2373524417811005e-06, + "loss": 2.7007, + "step": 2569 + }, + { + "epoch": 0.54, + "learning_rate": 5.233675261599691e-06, + "loss": 2.6554, + "step": 2570 + }, + { + "epoch": 0.54, + "learning_rate": 5.229997954750206e-06, + "loss": 2.5916, + "step": 2571 + }, + { + "epoch": 0.54, + "learning_rate": 5.226320523225996e-06, + "loss": 2.7395, + "step": 2572 + }, + { + "epoch": 0.54, + "learning_rate": 5.222642969020484e-06, + "loss": 2.5754, + "step": 2573 + }, + { + "epoch": 0.54, + "learning_rate": 5.218965294127155e-06, + "loss": 2.6858, + "step": 2574 + }, + { + "epoch": 0.54, + "learning_rate": 5.215287500539567e-06, + "loss": 2.6783, + "step": 2575 + }, + { + "epoch": 0.54, + "learning_rate": 5.211609590251332e-06, + "loss": 2.638, + "step": 2576 + }, + { + "epoch": 0.54, + "learning_rate": 5.207931565256133e-06, + "loss": 2.6539, + "step": 2577 + }, + { + "epoch": 0.54, + "learning_rate": 5.204253427547713e-06, + "loss": 2.6863, + "step": 2578 + }, + { + "epoch": 0.54, + "learning_rate": 5.200575179119874e-06, + "loss": 2.6633, + "step": 2579 + }, + { + "epoch": 0.54, + "learning_rate": 5.196896821966482e-06, + "loss": 2.6165, + "step": 2580 + }, + { + "epoch": 0.54, + "learning_rate": 5.1932183580814596e-06, + "loss": 2.6133, + "step": 2581 + }, + { + "epoch": 0.54, + "learning_rate": 5.189539789458786e-06, + "loss": 2.6816, + "step": 2582 + }, + { + "epoch": 0.54, + "learning_rate": 5.1858611180925e-06, + "loss": 2.5606, + "step": 2583 + }, + { + "epoch": 0.54, + "learning_rate": 5.182182345976694e-06, + "loss": 2.6753, + "step": 2584 + }, + { + "epoch": 0.54, + "learning_rate": 5.178503475105515e-06, + "loss": 2.5845, + "step": 2585 + }, + { + "epoch": 0.54, + "learning_rate": 5.174824507473166e-06, + "loss": 2.6456, + "step": 2586 + }, + { + "epoch": 0.54, + "learning_rate": 5.1711454450738985e-06, + "loss": 2.6267, + "step": 2587 + }, + { + "epoch": 0.54, + "learning_rate": 5.16746628990202e-06, + "loss": 2.629, + "step": 2588 + }, + { + "epoch": 0.54, + "learning_rate": 5.163787043951885e-06, + "loss": 2.7306, + "step": 2589 + }, + { + "epoch": 0.54, + "learning_rate": 5.160107709217896e-06, + "loss": 2.7194, + "step": 2590 + }, + { + "epoch": 0.54, + "learning_rate": 5.156428287694508e-06, + "loss": 2.6611, + "step": 2591 + }, + { + "epoch": 0.54, + "learning_rate": 5.15274878137622e-06, + "loss": 2.6495, + "step": 2592 + }, + { + "epoch": 0.54, + "learning_rate": 5.149069192257579e-06, + "loss": 2.6636, + "step": 2593 + }, + { + "epoch": 0.54, + "learning_rate": 5.145389522333173e-06, + "loss": 2.7155, + "step": 2594 + }, + { + "epoch": 0.54, + "learning_rate": 5.1417097735976385e-06, + "loss": 2.6599, + "step": 2595 + }, + { + "epoch": 0.54, + "learning_rate": 5.138029948045653e-06, + "loss": 2.6632, + "step": 2596 + }, + { + "epoch": 0.54, + "learning_rate": 5.134350047671932e-06, + "loss": 2.7116, + "step": 2597 + }, + { + "epoch": 0.54, + "learning_rate": 5.130670074471239e-06, + "loss": 2.7048, + "step": 2598 + }, + { + "epoch": 0.55, + "learning_rate": 5.1269900304383716e-06, + "loss": 2.5873, + "step": 2599 + }, + { + "epoch": 0.55, + "learning_rate": 5.1233099175681635e-06, + "loss": 2.6369, + "step": 2600 + }, + { + "epoch": 0.55, + "learning_rate": 5.119629737855494e-06, + "loss": 2.617, + "step": 2601 + }, + { + "epoch": 0.55, + "learning_rate": 5.115949493295272e-06, + "loss": 2.6502, + "step": 2602 + }, + { + "epoch": 0.55, + "learning_rate": 5.11226918588244e-06, + "loss": 2.6235, + "step": 2603 + }, + { + "epoch": 0.55, + "learning_rate": 5.108588817611982e-06, + "loss": 2.7326, + "step": 2604 + }, + { + "epoch": 0.55, + "learning_rate": 5.104908390478912e-06, + "loss": 2.6299, + "step": 2605 + }, + { + "epoch": 0.55, + "learning_rate": 5.1012279064782735e-06, + "loss": 2.6549, + "step": 2606 + }, + { + "epoch": 0.55, + "learning_rate": 5.097547367605139e-06, + "loss": 2.5896, + "step": 2607 + }, + { + "epoch": 0.55, + "learning_rate": 5.093866775854618e-06, + "loss": 2.6411, + "step": 2608 + }, + { + "epoch": 0.55, + "learning_rate": 5.0901861332218426e-06, + "loss": 2.7401, + "step": 2609 + }, + { + "epoch": 0.55, + "learning_rate": 5.086505441701975e-06, + "loss": 2.5355, + "step": 2610 + }, + { + "epoch": 0.55, + "learning_rate": 5.082824703290203e-06, + "loss": 2.6943, + "step": 2611 + }, + { + "epoch": 0.55, + "learning_rate": 5.079143919981742e-06, + "loss": 2.6469, + "step": 2612 + }, + { + "epoch": 0.55, + "learning_rate": 5.075463093771827e-06, + "loss": 2.6192, + "step": 2613 + }, + { + "epoch": 0.55, + "learning_rate": 5.071782226655721e-06, + "loss": 2.6045, + "step": 2614 + }, + { + "epoch": 0.55, + "learning_rate": 5.068101320628708e-06, + "loss": 2.6476, + "step": 2615 + }, + { + "epoch": 0.55, + "learning_rate": 5.064420377686089e-06, + "loss": 2.6541, + "step": 2616 + }, + { + "epoch": 0.55, + "learning_rate": 5.0607393998231915e-06, + "loss": 2.7291, + "step": 2617 + }, + { + "epoch": 0.55, + "learning_rate": 5.0570583890353585e-06, + "loss": 2.6682, + "step": 2618 + }, + { + "epoch": 0.55, + "learning_rate": 5.053377347317952e-06, + "loss": 2.7015, + "step": 2619 + }, + { + "epoch": 0.55, + "learning_rate": 5.0496962766663495e-06, + "loss": 2.6009, + "step": 2620 + }, + { + "epoch": 0.55, + "learning_rate": 5.046015179075941e-06, + "loss": 2.6367, + "step": 2621 + }, + { + "epoch": 0.55, + "learning_rate": 5.042334056542141e-06, + "loss": 2.6655, + "step": 2622 + }, + { + "epoch": 0.55, + "learning_rate": 5.038652911060368e-06, + "loss": 2.6123, + "step": 2623 + }, + { + "epoch": 0.55, + "learning_rate": 5.034971744626055e-06, + "loss": 2.6229, + "step": 2624 + }, + { + "epoch": 0.55, + "learning_rate": 5.03129055923465e-06, + "loss": 2.7157, + "step": 2625 + }, + { + "epoch": 0.55, + "learning_rate": 5.0276093568816076e-06, + "loss": 2.6586, + "step": 2626 + }, + { + "epoch": 0.55, + "learning_rate": 5.023928139562393e-06, + "loss": 2.6053, + "step": 2627 + }, + { + "epoch": 0.55, + "learning_rate": 5.020246909272479e-06, + "loss": 2.6287, + "step": 2628 + }, + { + "epoch": 0.55, + "learning_rate": 5.016565668007348e-06, + "loss": 2.6305, + "step": 2629 + }, + { + "epoch": 0.55, + "learning_rate": 5.012884417762485e-06, + "loss": 2.6296, + "step": 2630 + }, + { + "epoch": 0.55, + "learning_rate": 5.009203160533378e-06, + "loss": 2.6361, + "step": 2631 + }, + { + "epoch": 0.55, + "learning_rate": 5.005521898315526e-06, + "loss": 2.6595, + "step": 2632 + }, + { + "epoch": 0.55, + "learning_rate": 5.001840633104427e-06, + "loss": 2.6568, + "step": 2633 + }, + { + "epoch": 0.55, + "learning_rate": 4.998159366895576e-06, + "loss": 2.6456, + "step": 2634 + }, + { + "epoch": 0.55, + "learning_rate": 4.994478101684476e-06, + "loss": 2.6475, + "step": 2635 + }, + { + "epoch": 0.55, + "learning_rate": 4.9907968394666235e-06, + "loss": 2.6431, + "step": 2636 + }, + { + "epoch": 0.55, + "learning_rate": 4.987115582237517e-06, + "loss": 2.6308, + "step": 2637 + }, + { + "epoch": 0.55, + "learning_rate": 4.983434331992654e-06, + "loss": 2.6435, + "step": 2638 + }, + { + "epoch": 0.55, + "learning_rate": 4.9797530907275226e-06, + "loss": 2.6304, + "step": 2639 + }, + { + "epoch": 0.55, + "learning_rate": 4.976071860437609e-06, + "loss": 2.7513, + "step": 2640 + }, + { + "epoch": 0.55, + "learning_rate": 4.972390643118395e-06, + "loss": 2.6713, + "step": 2641 + }, + { + "epoch": 0.55, + "learning_rate": 4.968709440765352e-06, + "loss": 2.5709, + "step": 2642 + }, + { + "epoch": 0.55, + "learning_rate": 4.965028255373946e-06, + "loss": 2.6788, + "step": 2643 + }, + { + "epoch": 0.55, + "learning_rate": 4.961347088939636e-06, + "loss": 2.6325, + "step": 2644 + }, + { + "epoch": 0.55, + "learning_rate": 4.957665943457861e-06, + "loss": 2.6324, + "step": 2645 + }, + { + "epoch": 0.56, + "learning_rate": 4.953984820924059e-06, + "loss": 2.668, + "step": 2646 + }, + { + "epoch": 0.56, + "learning_rate": 4.950303723333654e-06, + "loss": 2.6199, + "step": 2647 + }, + { + "epoch": 0.56, + "learning_rate": 4.946622652682049e-06, + "loss": 2.6896, + "step": 2648 + }, + { + "epoch": 0.56, + "learning_rate": 4.9429416109646415e-06, + "loss": 2.6048, + "step": 2649 + }, + { + "epoch": 0.56, + "learning_rate": 4.93926060017681e-06, + "loss": 2.6696, + "step": 2650 + }, + { + "epoch": 0.56, + "learning_rate": 4.935579622313913e-06, + "loss": 2.6426, + "step": 2651 + }, + { + "epoch": 0.56, + "learning_rate": 4.9318986793712945e-06, + "loss": 2.6982, + "step": 2652 + }, + { + "epoch": 0.56, + "learning_rate": 4.9282177733442804e-06, + "loss": 2.7121, + "step": 2653 + }, + { + "epoch": 0.56, + "learning_rate": 4.924536906228174e-06, + "loss": 2.6679, + "step": 2654 + }, + { + "epoch": 0.56, + "learning_rate": 4.92085608001826e-06, + "loss": 2.6969, + "step": 2655 + }, + { + "epoch": 0.56, + "learning_rate": 4.917175296709798e-06, + "loss": 2.6429, + "step": 2656 + }, + { + "epoch": 0.56, + "learning_rate": 4.913494558298026e-06, + "loss": 2.6598, + "step": 2657 + }, + { + "epoch": 0.56, + "learning_rate": 4.909813866778159e-06, + "loss": 2.5899, + "step": 2658 + }, + { + "epoch": 0.56, + "learning_rate": 4.906133224145384e-06, + "loss": 2.6275, + "step": 2659 + }, + { + "epoch": 0.56, + "learning_rate": 4.9024526323948615e-06, + "loss": 2.6471, + "step": 2660 + }, + { + "epoch": 0.56, + "learning_rate": 4.898772093521729e-06, + "loss": 2.6574, + "step": 2661 + }, + { + "epoch": 0.56, + "learning_rate": 4.895091609521089e-06, + "loss": 2.6883, + "step": 2662 + }, + { + "epoch": 0.56, + "learning_rate": 4.891411182388017e-06, + "loss": 2.6651, + "step": 2663 + }, + { + "epoch": 0.56, + "learning_rate": 4.887730814117561e-06, + "loss": 2.7436, + "step": 2664 + }, + { + "epoch": 0.56, + "learning_rate": 4.884050506704731e-06, + "loss": 2.6419, + "step": 2665 + }, + { + "epoch": 0.56, + "learning_rate": 4.880370262144508e-06, + "loss": 2.651, + "step": 2666 + }, + { + "epoch": 0.56, + "learning_rate": 4.876690082431838e-06, + "loss": 2.6608, + "step": 2667 + }, + { + "epoch": 0.56, + "learning_rate": 4.873009969561631e-06, + "loss": 2.6285, + "step": 2668 + }, + { + "epoch": 0.56, + "learning_rate": 4.869329925528761e-06, + "loss": 2.7146, + "step": 2669 + }, + { + "epoch": 0.56, + "learning_rate": 4.865649952328069e-06, + "loss": 2.69, + "step": 2670 + }, + { + "epoch": 0.56, + "learning_rate": 4.861970051954349e-06, + "loss": 2.6843, + "step": 2671 + }, + { + "epoch": 0.56, + "learning_rate": 4.858290226402363e-06, + "loss": 2.6725, + "step": 2672 + }, + { + "epoch": 0.56, + "learning_rate": 4.854610477666828e-06, + "loss": 2.6652, + "step": 2673 + }, + { + "epoch": 0.56, + "learning_rate": 4.850930807742423e-06, + "loss": 2.6462, + "step": 2674 + }, + { + "epoch": 0.56, + "learning_rate": 4.847251218623781e-06, + "loss": 2.6496, + "step": 2675 + }, + { + "epoch": 0.56, + "learning_rate": 4.843571712305493e-06, + "loss": 2.5744, + "step": 2676 + }, + { + "epoch": 0.56, + "learning_rate": 4.839892290782106e-06, + "loss": 2.6276, + "step": 2677 + }, + { + "epoch": 0.56, + "learning_rate": 4.836212956048118e-06, + "loss": 2.6695, + "step": 2678 + }, + { + "epoch": 0.56, + "learning_rate": 4.832533710097981e-06, + "loss": 2.6719, + "step": 2679 + }, + { + "epoch": 0.56, + "learning_rate": 4.8288545549261015e-06, + "loss": 2.6805, + "step": 2680 + }, + { + "epoch": 0.56, + "learning_rate": 4.825175492526836e-06, + "loss": 2.6126, + "step": 2681 + }, + { + "epoch": 0.56, + "learning_rate": 4.821496524894486e-06, + "loss": 2.6576, + "step": 2682 + }, + { + "epoch": 0.56, + "learning_rate": 4.817817654023307e-06, + "loss": 2.5895, + "step": 2683 + }, + { + "epoch": 0.56, + "learning_rate": 4.814138881907502e-06, + "loss": 2.6072, + "step": 2684 + }, + { + "epoch": 0.56, + "learning_rate": 4.8104602105412145e-06, + "loss": 2.5893, + "step": 2685 + }, + { + "epoch": 0.56, + "learning_rate": 4.806781641918541e-06, + "loss": 2.7113, + "step": 2686 + }, + { + "epoch": 0.56, + "learning_rate": 4.803103178033519e-06, + "loss": 2.6346, + "step": 2687 + }, + { + "epoch": 0.56, + "learning_rate": 4.799424820880127e-06, + "loss": 2.6388, + "step": 2688 + }, + { + "epoch": 0.56, + "learning_rate": 4.795746572452288e-06, + "loss": 2.6287, + "step": 2689 + }, + { + "epoch": 0.56, + "learning_rate": 4.7920684347438684e-06, + "loss": 2.6859, + "step": 2690 + }, + { + "epoch": 0.56, + "learning_rate": 4.788390409748669e-06, + "loss": 2.609, + "step": 2691 + }, + { + "epoch": 0.56, + "learning_rate": 4.784712499460436e-06, + "loss": 2.6476, + "step": 2692 + }, + { + "epoch": 0.56, + "learning_rate": 4.781034705872846e-06, + "loss": 2.5426, + "step": 2693 + }, + { + "epoch": 0.57, + "learning_rate": 4.777357030979518e-06, + "loss": 2.6719, + "step": 2694 + }, + { + "epoch": 0.57, + "learning_rate": 4.773679476774007e-06, + "loss": 2.6589, + "step": 2695 + }, + { + "epoch": 0.57, + "learning_rate": 4.7700020452497966e-06, + "loss": 2.6338, + "step": 2696 + }, + { + "epoch": 0.57, + "learning_rate": 4.76632473840031e-06, + "loss": 2.6465, + "step": 2697 + }, + { + "epoch": 0.57, + "learning_rate": 4.762647558218902e-06, + "loss": 2.6392, + "step": 2698 + }, + { + "epoch": 0.57, + "learning_rate": 4.758970506698854e-06, + "loss": 2.642, + "step": 2699 + }, + { + "epoch": 0.57, + "learning_rate": 4.755293585833383e-06, + "loss": 2.7156, + "step": 2700 + }, + { + "epoch": 0.57, + "learning_rate": 4.751616797615634e-06, + "loss": 2.6581, + "step": 2701 + }, + { + "epoch": 0.57, + "learning_rate": 4.747940144038677e-06, + "loss": 2.6454, + "step": 2702 + }, + { + "epoch": 0.57, + "learning_rate": 4.744263627095513e-06, + "loss": 2.6659, + "step": 2703 + }, + { + "epoch": 0.57, + "learning_rate": 4.74058724877907e-06, + "loss": 2.6447, + "step": 2704 + }, + { + "epoch": 0.57, + "learning_rate": 4.7369110110821916e-06, + "loss": 2.6568, + "step": 2705 + }, + { + "epoch": 0.57, + "learning_rate": 4.733234915997656e-06, + "loss": 2.6994, + "step": 2706 + }, + { + "epoch": 0.57, + "learning_rate": 4.729558965518161e-06, + "loss": 2.6792, + "step": 2707 + }, + { + "epoch": 0.57, + "learning_rate": 4.725883161636321e-06, + "loss": 2.6697, + "step": 2708 + }, + { + "epoch": 0.57, + "learning_rate": 4.722207506344678e-06, + "loss": 2.6328, + "step": 2709 + }, + { + "epoch": 0.57, + "learning_rate": 4.7185320016356865e-06, + "loss": 2.6109, + "step": 2710 + }, + { + "epoch": 0.57, + "learning_rate": 4.7148566495017266e-06, + "loss": 2.7365, + "step": 2711 + }, + { + "epoch": 0.57, + "learning_rate": 4.71118145193509e-06, + "loss": 2.6449, + "step": 2712 + }, + { + "epoch": 0.57, + "learning_rate": 4.707506410927987e-06, + "loss": 2.7096, + "step": 2713 + }, + { + "epoch": 0.57, + "learning_rate": 4.703831528472545e-06, + "loss": 2.6897, + "step": 2714 + }, + { + "epoch": 0.57, + "learning_rate": 4.700156806560802e-06, + "loss": 2.7108, + "step": 2715 + }, + { + "epoch": 0.57, + "learning_rate": 4.696482247184708e-06, + "loss": 2.595, + "step": 2716 + }, + { + "epoch": 0.57, + "learning_rate": 4.692807852336128e-06, + "loss": 2.6842, + "step": 2717 + }, + { + "epoch": 0.57, + "learning_rate": 4.689133624006842e-06, + "loss": 2.6532, + "step": 2718 + }, + { + "epoch": 0.57, + "learning_rate": 4.685459564188527e-06, + "loss": 2.6963, + "step": 2719 + }, + { + "epoch": 0.57, + "learning_rate": 4.681785674872781e-06, + "loss": 2.6756, + "step": 2720 + }, + { + "epoch": 0.57, + "learning_rate": 4.6781119580511054e-06, + "loss": 2.6272, + "step": 2721 + }, + { + "epoch": 0.57, + "learning_rate": 4.674438415714904e-06, + "loss": 2.5714, + "step": 2722 + }, + { + "epoch": 0.57, + "learning_rate": 4.670765049855492e-06, + "loss": 2.6903, + "step": 2723 + }, + { + "epoch": 0.57, + "learning_rate": 4.667091862464087e-06, + "loss": 2.7184, + "step": 2724 + }, + { + "epoch": 0.57, + "learning_rate": 4.663418855531808e-06, + "loss": 2.6602, + "step": 2725 + }, + { + "epoch": 0.57, + "learning_rate": 4.659746031049679e-06, + "loss": 2.7038, + "step": 2726 + }, + { + "epoch": 0.57, + "learning_rate": 4.656073391008622e-06, + "loss": 2.7132, + "step": 2727 + }, + { + "epoch": 0.57, + "learning_rate": 4.652400937399461e-06, + "loss": 2.632, + "step": 2728 + }, + { + "epoch": 0.57, + "learning_rate": 4.648728672212922e-06, + "loss": 2.542, + "step": 2729 + }, + { + "epoch": 0.57, + "learning_rate": 4.64505659743962e-06, + "loss": 2.6601, + "step": 2730 + }, + { + "epoch": 0.57, + "learning_rate": 4.641384715070075e-06, + "loss": 2.7607, + "step": 2731 + }, + { + "epoch": 0.57, + "learning_rate": 4.637713027094703e-06, + "loss": 2.6137, + "step": 2732 + }, + { + "epoch": 0.57, + "learning_rate": 4.634041535503806e-06, + "loss": 2.6352, + "step": 2733 + }, + { + "epoch": 0.57, + "learning_rate": 4.630370242287588e-06, + "loss": 2.6447, + "step": 2734 + }, + { + "epoch": 0.57, + "learning_rate": 4.626699149436144e-06, + "loss": 2.6718, + "step": 2735 + }, + { + "epoch": 0.57, + "learning_rate": 4.623028258939456e-06, + "loss": 2.5931, + "step": 2736 + }, + { + "epoch": 0.57, + "learning_rate": 4.619357572787402e-06, + "loss": 2.6813, + "step": 2737 + }, + { + "epoch": 0.57, + "learning_rate": 4.615687092969745e-06, + "loss": 2.6646, + "step": 2738 + }, + { + "epoch": 0.57, + "learning_rate": 4.6120168214761375e-06, + "loss": 2.6439, + "step": 2739 + }, + { + "epoch": 0.57, + "learning_rate": 4.60834676029612e-06, + "loss": 2.6731, + "step": 2740 + }, + { + "epoch": 0.57, + "learning_rate": 4.60467691141912e-06, + "loss": 2.6288, + "step": 2741 + }, + { + "epoch": 0.58, + "learning_rate": 4.601007276834445e-06, + "loss": 2.5862, + "step": 2742 + }, + { + "epoch": 0.58, + "learning_rate": 4.597337858531291e-06, + "loss": 2.6987, + "step": 2743 + }, + { + "epoch": 0.58, + "learning_rate": 4.593668658498737e-06, + "loss": 2.6573, + "step": 2744 + }, + { + "epoch": 0.58, + "learning_rate": 4.589999678725739e-06, + "loss": 2.538, + "step": 2745 + }, + { + "epoch": 0.58, + "learning_rate": 4.5863309212011376e-06, + "loss": 2.6364, + "step": 2746 + }, + { + "epoch": 0.58, + "learning_rate": 4.582662387913654e-06, + "loss": 2.6445, + "step": 2747 + }, + { + "epoch": 0.58, + "learning_rate": 4.578994080851882e-06, + "loss": 2.6315, + "step": 2748 + }, + { + "epoch": 0.58, + "learning_rate": 4.5753260020043e-06, + "loss": 2.682, + "step": 2749 + }, + { + "epoch": 0.58, + "learning_rate": 4.571658153359256e-06, + "loss": 2.6893, + "step": 2750 + }, + { + "epoch": 0.58, + "learning_rate": 4.567990536904979e-06, + "loss": 2.6365, + "step": 2751 + }, + { + "epoch": 0.58, + "learning_rate": 4.56432315462957e-06, + "loss": 2.663, + "step": 2752 + }, + { + "epoch": 0.58, + "learning_rate": 4.560656008521e-06, + "loss": 2.6727, + "step": 2753 + }, + { + "epoch": 0.58, + "learning_rate": 4.556989100567116e-06, + "loss": 2.6254, + "step": 2754 + }, + { + "epoch": 0.58, + "learning_rate": 4.5533224327556365e-06, + "loss": 2.7143, + "step": 2755 + }, + { + "epoch": 0.58, + "learning_rate": 4.549656007074144e-06, + "loss": 2.6576, + "step": 2756 + }, + { + "epoch": 0.58, + "learning_rate": 4.545989825510096e-06, + "loss": 2.6654, + "step": 2757 + }, + { + "epoch": 0.58, + "learning_rate": 4.542323890050817e-06, + "loss": 2.6936, + "step": 2758 + }, + { + "epoch": 0.58, + "learning_rate": 4.53865820268349e-06, + "loss": 2.6241, + "step": 2759 + }, + { + "epoch": 0.58, + "learning_rate": 4.534992765395176e-06, + "loss": 2.6479, + "step": 2760 + }, + { + "epoch": 0.58, + "learning_rate": 4.531327580172794e-06, + "loss": 2.7168, + "step": 2761 + }, + { + "epoch": 0.58, + "learning_rate": 4.527662649003124e-06, + "loss": 2.7257, + "step": 2762 + }, + { + "epoch": 0.58, + "learning_rate": 4.523997973872811e-06, + "loss": 2.6712, + "step": 2763 + }, + { + "epoch": 0.58, + "learning_rate": 4.520333556768364e-06, + "loss": 2.6463, + "step": 2764 + }, + { + "epoch": 0.58, + "learning_rate": 4.516669399676146e-06, + "loss": 2.6049, + "step": 2765 + }, + { + "epoch": 0.58, + "learning_rate": 4.5130055045823854e-06, + "loss": 2.7109, + "step": 2766 + }, + { + "epoch": 0.58, + "learning_rate": 4.509341873473163e-06, + "loss": 2.6654, + "step": 2767 + }, + { + "epoch": 0.58, + "learning_rate": 4.50567850833442e-06, + "loss": 2.6184, + "step": 2768 + }, + { + "epoch": 0.58, + "learning_rate": 4.502015411151955e-06, + "loss": 2.6817, + "step": 2769 + }, + { + "epoch": 0.58, + "learning_rate": 4.498352583911413e-06, + "loss": 2.6387, + "step": 2770 + }, + { + "epoch": 0.58, + "learning_rate": 4.494690028598303e-06, + "loss": 2.6517, + "step": 2771 + }, + { + "epoch": 0.58, + "learning_rate": 4.491027747197981e-06, + "loss": 2.5928, + "step": 2772 + }, + { + "epoch": 0.58, + "learning_rate": 4.487365741695657e-06, + "loss": 2.639, + "step": 2773 + }, + { + "epoch": 0.58, + "learning_rate": 4.483704014076387e-06, + "loss": 2.6485, + "step": 2774 + }, + { + "epoch": 0.58, + "learning_rate": 4.480042566325083e-06, + "loss": 2.6277, + "step": 2775 + }, + { + "epoch": 0.58, + "learning_rate": 4.4763814004264975e-06, + "loss": 2.6591, + "step": 2776 + }, + { + "epoch": 0.58, + "learning_rate": 4.472720518365237e-06, + "loss": 2.6442, + "step": 2777 + }, + { + "epoch": 0.58, + "learning_rate": 4.469059922125753e-06, + "loss": 2.7325, + "step": 2778 + }, + { + "epoch": 0.58, + "learning_rate": 4.465399613692338e-06, + "loss": 2.6149, + "step": 2779 + }, + { + "epoch": 0.58, + "learning_rate": 4.461739595049132e-06, + "loss": 2.6063, + "step": 2780 + }, + { + "epoch": 0.58, + "learning_rate": 4.45807986818012e-06, + "loss": 2.6832, + "step": 2781 + }, + { + "epoch": 0.58, + "learning_rate": 4.454420435069119e-06, + "loss": 2.6907, + "step": 2782 + }, + { + "epoch": 0.58, + "learning_rate": 4.4507612976997995e-06, + "loss": 2.6816, + "step": 2783 + }, + { + "epoch": 0.58, + "learning_rate": 4.447102458055666e-06, + "loss": 2.6151, + "step": 2784 + }, + { + "epoch": 0.58, + "learning_rate": 4.443443918120056e-06, + "loss": 2.7189, + "step": 2785 + }, + { + "epoch": 0.58, + "learning_rate": 4.439785679876156e-06, + "loss": 2.6381, + "step": 2786 + }, + { + "epoch": 0.58, + "learning_rate": 4.436127745306978e-06, + "loss": 2.6872, + "step": 2787 + }, + { + "epoch": 0.58, + "learning_rate": 4.432470116395378e-06, + "loss": 2.7392, + "step": 2788 + }, + { + "epoch": 0.59, + "learning_rate": 4.4288127951240435e-06, + "loss": 2.7333, + "step": 2789 + }, + { + "epoch": 0.59, + "learning_rate": 4.425155783475489e-06, + "loss": 2.6514, + "step": 2790 + }, + { + "epoch": 0.59, + "learning_rate": 4.421499083432071e-06, + "loss": 2.686, + "step": 2791 + }, + { + "epoch": 0.59, + "learning_rate": 4.4178426969759735e-06, + "loss": 2.6539, + "step": 2792 + }, + { + "epoch": 0.59, + "learning_rate": 4.414186626089205e-06, + "loss": 2.7679, + "step": 2793 + }, + { + "epoch": 0.59, + "learning_rate": 4.410530872753611e-06, + "loss": 2.7303, + "step": 2794 + }, + { + "epoch": 0.59, + "learning_rate": 4.4068754389508616e-06, + "loss": 2.6204, + "step": 2795 + }, + { + "epoch": 0.59, + "learning_rate": 4.403220326662452e-06, + "loss": 2.7422, + "step": 2796 + }, + { + "epoch": 0.59, + "learning_rate": 4.399565537869703e-06, + "loss": 2.6077, + "step": 2797 + }, + { + "epoch": 0.59, + "learning_rate": 4.395911074553767e-06, + "loss": 2.6091, + "step": 2798 + }, + { + "epoch": 0.59, + "learning_rate": 4.39225693869561e-06, + "loss": 2.6848, + "step": 2799 + }, + { + "epoch": 0.59, + "learning_rate": 4.388603132276028e-06, + "loss": 2.6819, + "step": 2800 + }, + { + "epoch": 0.59, + "learning_rate": 4.384949657275635e-06, + "loss": 2.6121, + "step": 2801 + }, + { + "epoch": 0.59, + "learning_rate": 4.381296515674863e-06, + "loss": 2.65, + "step": 2802 + }, + { + "epoch": 0.59, + "learning_rate": 4.377643709453972e-06, + "loss": 2.7185, + "step": 2803 + }, + { + "epoch": 0.59, + "learning_rate": 4.373991240593028e-06, + "loss": 2.6532, + "step": 2804 + }, + { + "epoch": 0.59, + "learning_rate": 4.370339111071924e-06, + "loss": 2.6991, + "step": 2805 + }, + { + "epoch": 0.59, + "learning_rate": 4.366687322870367e-06, + "loss": 2.7279, + "step": 2806 + }, + { + "epoch": 0.59, + "learning_rate": 4.363035877967874e-06, + "loss": 2.6513, + "step": 2807 + }, + { + "epoch": 0.59, + "learning_rate": 4.359384778343781e-06, + "loss": 2.6675, + "step": 2808 + }, + { + "epoch": 0.59, + "learning_rate": 4.355734025977236e-06, + "loss": 2.6525, + "step": 2809 + }, + { + "epoch": 0.59, + "learning_rate": 4.3520836228471984e-06, + "loss": 2.6791, + "step": 2810 + }, + { + "epoch": 0.59, + "learning_rate": 4.348433570932435e-06, + "loss": 2.6881, + "step": 2811 + }, + { + "epoch": 0.59, + "learning_rate": 4.34478387221153e-06, + "loss": 2.6875, + "step": 2812 + }, + { + "epoch": 0.59, + "learning_rate": 4.341134528662867e-06, + "loss": 2.5748, + "step": 2813 + }, + { + "epoch": 0.59, + "learning_rate": 4.337485542264643e-06, + "loss": 2.6744, + "step": 2814 + }, + { + "epoch": 0.59, + "learning_rate": 4.333836914994862e-06, + "loss": 2.6094, + "step": 2815 + }, + { + "epoch": 0.59, + "learning_rate": 4.330188648831328e-06, + "loss": 2.6684, + "step": 2816 + }, + { + "epoch": 0.59, + "learning_rate": 4.326540745751653e-06, + "loss": 2.6109, + "step": 2817 + }, + { + "epoch": 0.59, + "learning_rate": 4.322893207733253e-06, + "loss": 2.6934, + "step": 2818 + }, + { + "epoch": 0.59, + "learning_rate": 4.319246036753343e-06, + "loss": 2.6643, + "step": 2819 + }, + { + "epoch": 0.59, + "learning_rate": 4.315599234788941e-06, + "loss": 2.6827, + "step": 2820 + }, + { + "epoch": 0.59, + "learning_rate": 4.311952803816867e-06, + "loss": 2.6841, + "step": 2821 + }, + { + "epoch": 0.59, + "learning_rate": 4.308306745813734e-06, + "loss": 2.6124, + "step": 2822 + }, + { + "epoch": 0.59, + "learning_rate": 4.304661062755958e-06, + "loss": 2.6302, + "step": 2823 + }, + { + "epoch": 0.59, + "learning_rate": 4.301015756619751e-06, + "loss": 2.6232, + "step": 2824 + }, + { + "epoch": 0.59, + "learning_rate": 4.297370829381119e-06, + "loss": 2.6296, + "step": 2825 + }, + { + "epoch": 0.59, + "learning_rate": 4.293726283015866e-06, + "loss": 2.6566, + "step": 2826 + }, + { + "epoch": 0.59, + "learning_rate": 4.2900821194995816e-06, + "loss": 2.5653, + "step": 2827 + }, + { + "epoch": 0.59, + "learning_rate": 4.286438340807656e-06, + "loss": 2.6404, + "step": 2828 + }, + { + "epoch": 0.59, + "learning_rate": 4.282794948915271e-06, + "loss": 2.6901, + "step": 2829 + }, + { + "epoch": 0.59, + "learning_rate": 4.279151945797392e-06, + "loss": 2.6951, + "step": 2830 + }, + { + "epoch": 0.59, + "learning_rate": 4.275509333428778e-06, + "loss": 2.668, + "step": 2831 + }, + { + "epoch": 0.59, + "learning_rate": 4.271867113783978e-06, + "loss": 2.6277, + "step": 2832 + }, + { + "epoch": 0.59, + "learning_rate": 4.268225288837323e-06, + "loss": 2.6172, + "step": 2833 + }, + { + "epoch": 0.59, + "learning_rate": 4.264583860562933e-06, + "loss": 2.6269, + "step": 2834 + }, + { + "epoch": 0.59, + "learning_rate": 4.260942830934716e-06, + "loss": 2.6494, + "step": 2835 + }, + { + "epoch": 0.59, + "learning_rate": 4.257302201926356e-06, + "loss": 2.7063, + "step": 2836 + }, + { + "epoch": 0.6, + "learning_rate": 4.253661975511327e-06, + "loss": 2.6011, + "step": 2837 + }, + { + "epoch": 0.6, + "learning_rate": 4.250022153662885e-06, + "loss": 2.6948, + "step": 2838 + }, + { + "epoch": 0.6, + "learning_rate": 4.2463827383540585e-06, + "loss": 2.6208, + "step": 2839 + }, + { + "epoch": 0.6, + "learning_rate": 4.242743731557664e-06, + "loss": 2.6425, + "step": 2840 + }, + { + "epoch": 0.6, + "learning_rate": 4.2391051352462955e-06, + "loss": 2.617, + "step": 2841 + }, + { + "epoch": 0.6, + "learning_rate": 4.235466951392319e-06, + "loss": 2.6801, + "step": 2842 + }, + { + "epoch": 0.6, + "learning_rate": 4.231829181967885e-06, + "loss": 2.6224, + "step": 2843 + }, + { + "epoch": 0.6, + "learning_rate": 4.2281918289449085e-06, + "loss": 2.7156, + "step": 2844 + }, + { + "epoch": 0.6, + "learning_rate": 4.22455489429509e-06, + "loss": 2.6448, + "step": 2845 + }, + { + "epoch": 0.6, + "learning_rate": 4.220918379989898e-06, + "loss": 2.6914, + "step": 2846 + }, + { + "epoch": 0.6, + "learning_rate": 4.217282288000571e-06, + "loss": 2.7017, + "step": 2847 + }, + { + "epoch": 0.6, + "learning_rate": 4.213646620298126e-06, + "loss": 2.6849, + "step": 2848 + }, + { + "epoch": 0.6, + "learning_rate": 4.210011378853341e-06, + "loss": 2.6176, + "step": 2849 + }, + { + "epoch": 0.6, + "learning_rate": 4.206376565636767e-06, + "loss": 2.6665, + "step": 2850 + }, + { + "epoch": 0.6, + "learning_rate": 4.202742182618726e-06, + "loss": 2.652, + "step": 2851 + }, + { + "epoch": 0.6, + "learning_rate": 4.1991082317693025e-06, + "loss": 2.7521, + "step": 2852 + }, + { + "epoch": 0.6, + "learning_rate": 4.195474715058346e-06, + "loss": 2.686, + "step": 2853 + }, + { + "epoch": 0.6, + "learning_rate": 4.1918416344554745e-06, + "loss": 2.7268, + "step": 2854 + }, + { + "epoch": 0.6, + "learning_rate": 4.1882089919300685e-06, + "loss": 2.6579, + "step": 2855 + }, + { + "epoch": 0.6, + "learning_rate": 4.184576789451269e-06, + "loss": 2.6946, + "step": 2856 + }, + { + "epoch": 0.6, + "learning_rate": 4.180945028987979e-06, + "loss": 2.5797, + "step": 2857 + }, + { + "epoch": 0.6, + "learning_rate": 4.177313712508866e-06, + "loss": 2.6554, + "step": 2858 + }, + { + "epoch": 0.6, + "learning_rate": 4.173682841982349e-06, + "loss": 2.5895, + "step": 2859 + }, + { + "epoch": 0.6, + "learning_rate": 4.170052419376613e-06, + "loss": 2.6936, + "step": 2860 + }, + { + "epoch": 0.6, + "learning_rate": 4.166422446659596e-06, + "loss": 2.6218, + "step": 2861 + }, + { + "epoch": 0.6, + "learning_rate": 4.162792925798992e-06, + "loss": 2.6657, + "step": 2862 + }, + { + "epoch": 0.6, + "learning_rate": 4.159163858762255e-06, + "loss": 2.6374, + "step": 2863 + }, + { + "epoch": 0.6, + "learning_rate": 4.155535247516583e-06, + "loss": 2.6809, + "step": 2864 + }, + { + "epoch": 0.6, + "learning_rate": 4.151907094028938e-06, + "loss": 2.5906, + "step": 2865 + }, + { + "epoch": 0.6, + "learning_rate": 4.148279400266029e-06, + "loss": 2.6567, + "step": 2866 + }, + { + "epoch": 0.6, + "learning_rate": 4.144652168194312e-06, + "loss": 2.6529, + "step": 2867 + }, + { + "epoch": 0.6, + "learning_rate": 4.141025399779997e-06, + "loss": 2.6523, + "step": 2868 + }, + { + "epoch": 0.6, + "learning_rate": 4.137399096989048e-06, + "loss": 2.5649, + "step": 2869 + }, + { + "epoch": 0.6, + "learning_rate": 4.133773261787164e-06, + "loss": 2.6384, + "step": 2870 + }, + { + "epoch": 0.6, + "learning_rate": 4.130147896139799e-06, + "loss": 2.6136, + "step": 2871 + }, + { + "epoch": 0.6, + "learning_rate": 4.126523002012153e-06, + "loss": 2.6306, + "step": 2872 + }, + { + "epoch": 0.6, + "learning_rate": 4.1228985813691655e-06, + "loss": 2.6449, + "step": 2873 + }, + { + "epoch": 0.6, + "learning_rate": 4.119274636175523e-06, + "loss": 2.6157, + "step": 2874 + }, + { + "epoch": 0.6, + "learning_rate": 4.115651168395654e-06, + "loss": 2.6717, + "step": 2875 + }, + { + "epoch": 0.6, + "learning_rate": 4.112028179993727e-06, + "loss": 2.6079, + "step": 2876 + }, + { + "epoch": 0.6, + "learning_rate": 4.1084056729336494e-06, + "loss": 2.6685, + "step": 2877 + }, + { + "epoch": 0.6, + "learning_rate": 4.104783649179074e-06, + "loss": 2.667, + "step": 2878 + }, + { + "epoch": 0.6, + "learning_rate": 4.101162110693381e-06, + "loss": 2.6576, + "step": 2879 + }, + { + "epoch": 0.6, + "learning_rate": 4.097541059439698e-06, + "loss": 2.6894, + "step": 2880 + }, + { + "epoch": 0.6, + "learning_rate": 4.093920497380882e-06, + "loss": 2.6466, + "step": 2881 + }, + { + "epoch": 0.6, + "learning_rate": 4.090300426479526e-06, + "loss": 2.5433, + "step": 2882 + }, + { + "epoch": 0.6, + "learning_rate": 4.08668084869796e-06, + "loss": 2.6327, + "step": 2883 + }, + { + "epoch": 0.6, + "learning_rate": 4.083061765998243e-06, + "loss": 2.6971, + "step": 2884 + }, + { + "epoch": 0.61, + "learning_rate": 4.079443180342167e-06, + "loss": 2.6611, + "step": 2885 + }, + { + "epoch": 0.61, + "learning_rate": 4.075825093691256e-06, + "loss": 2.6221, + "step": 2886 + }, + { + "epoch": 0.61, + "learning_rate": 4.07220750800676e-06, + "loss": 2.6151, + "step": 2887 + }, + { + "epoch": 0.61, + "learning_rate": 4.068590425249659e-06, + "loss": 2.6131, + "step": 2888 + }, + { + "epoch": 0.61, + "learning_rate": 4.064973847380665e-06, + "loss": 2.665, + "step": 2889 + }, + { + "epoch": 0.61, + "learning_rate": 4.061357776360207e-06, + "loss": 2.6432, + "step": 2890 + }, + { + "epoch": 0.61, + "learning_rate": 4.057742214148446e-06, + "loss": 2.6678, + "step": 2891 + }, + { + "epoch": 0.61, + "learning_rate": 4.054127162705268e-06, + "loss": 2.6281, + "step": 2892 + }, + { + "epoch": 0.61, + "learning_rate": 4.050512623990277e-06, + "loss": 2.6213, + "step": 2893 + }, + { + "epoch": 0.61, + "learning_rate": 4.046898599962802e-06, + "loss": 2.664, + "step": 2894 + }, + { + "epoch": 0.61, + "learning_rate": 4.043285092581895e-06, + "loss": 2.717, + "step": 2895 + }, + { + "epoch": 0.61, + "learning_rate": 4.039672103806324e-06, + "loss": 2.672, + "step": 2896 + }, + { + "epoch": 0.61, + "learning_rate": 4.036059635594578e-06, + "loss": 2.6475, + "step": 2897 + }, + { + "epoch": 0.61, + "learning_rate": 4.032447689904862e-06, + "loss": 2.6989, + "step": 2898 + }, + { + "epoch": 0.61, + "learning_rate": 4.028836268695101e-06, + "loss": 2.7171, + "step": 2899 + }, + { + "epoch": 0.61, + "learning_rate": 4.025225373922935e-06, + "loss": 2.576, + "step": 2900 + }, + { + "epoch": 0.61, + "learning_rate": 4.021615007545714e-06, + "loss": 2.6322, + "step": 2901 + }, + { + "epoch": 0.61, + "learning_rate": 4.018005171520507e-06, + "loss": 2.6902, + "step": 2902 + }, + { + "epoch": 0.61, + "learning_rate": 4.014395867804096e-06, + "loss": 2.6051, + "step": 2903 + }, + { + "epoch": 0.61, + "learning_rate": 4.010787098352967e-06, + "loss": 2.6447, + "step": 2904 + }, + { + "epoch": 0.61, + "learning_rate": 4.007178865123325e-06, + "loss": 2.5791, + "step": 2905 + }, + { + "epoch": 0.61, + "learning_rate": 4.003571170071082e-06, + "loss": 2.7057, + "step": 2906 + }, + { + "epoch": 0.61, + "learning_rate": 3.999964015151852e-06, + "loss": 2.6201, + "step": 2907 + }, + { + "epoch": 0.61, + "learning_rate": 3.996357402320965e-06, + "loss": 2.6172, + "step": 2908 + }, + { + "epoch": 0.61, + "learning_rate": 3.992751333533453e-06, + "loss": 2.6178, + "step": 2909 + }, + { + "epoch": 0.61, + "learning_rate": 3.989145810744054e-06, + "loss": 2.6533, + "step": 2910 + }, + { + "epoch": 0.61, + "learning_rate": 3.985540835907206e-06, + "loss": 2.6538, + "step": 2911 + }, + { + "epoch": 0.61, + "learning_rate": 3.981936410977061e-06, + "loss": 2.669, + "step": 2912 + }, + { + "epoch": 0.61, + "learning_rate": 3.978332537907457e-06, + "loss": 2.6458, + "step": 2913 + }, + { + "epoch": 0.61, + "learning_rate": 3.974729218651946e-06, + "loss": 2.662, + "step": 2914 + }, + { + "epoch": 0.61, + "learning_rate": 3.9711264551637754e-06, + "loss": 2.5632, + "step": 2915 + }, + { + "epoch": 0.61, + "learning_rate": 3.967524249395888e-06, + "loss": 2.6414, + "step": 2916 + }, + { + "epoch": 0.61, + "learning_rate": 3.963922603300931e-06, + "loss": 2.6295, + "step": 2917 + }, + { + "epoch": 0.61, + "learning_rate": 3.9603215188312395e-06, + "loss": 2.6381, + "step": 2918 + }, + { + "epoch": 0.61, + "learning_rate": 3.9567209979388534e-06, + "loss": 2.6013, + "step": 2919 + }, + { + "epoch": 0.61, + "learning_rate": 3.9531210425755015e-06, + "loss": 2.5983, + "step": 2920 + }, + { + "epoch": 0.61, + "learning_rate": 3.949521654692607e-06, + "loss": 2.6168, + "step": 2921 + }, + { + "epoch": 0.61, + "learning_rate": 3.945922836241287e-06, + "loss": 2.6182, + "step": 2922 + }, + { + "epoch": 0.61, + "learning_rate": 3.94232458917235e-06, + "loss": 2.619, + "step": 2923 + }, + { + "epoch": 0.61, + "learning_rate": 3.9387269154362885e-06, + "loss": 2.674, + "step": 2924 + }, + { + "epoch": 0.61, + "learning_rate": 3.935129816983294e-06, + "loss": 2.628, + "step": 2925 + }, + { + "epoch": 0.61, + "learning_rate": 3.931533295763242e-06, + "loss": 2.6354, + "step": 2926 + }, + { + "epoch": 0.61, + "learning_rate": 3.92793735372569e-06, + "loss": 2.6959, + "step": 2927 + }, + { + "epoch": 0.61, + "learning_rate": 3.924341992819889e-06, + "loss": 2.6668, + "step": 2928 + }, + { + "epoch": 0.61, + "learning_rate": 3.920747214994774e-06, + "loss": 2.621, + "step": 2929 + }, + { + "epoch": 0.61, + "learning_rate": 3.917153022198958e-06, + "loss": 2.6059, + "step": 2930 + }, + { + "epoch": 0.61, + "learning_rate": 3.913559416380743e-06, + "loss": 2.6156, + "step": 2931 + }, + { + "epoch": 0.62, + "learning_rate": 3.909966399488112e-06, + "loss": 2.6575, + "step": 2932 + }, + { + "epoch": 0.62, + "learning_rate": 3.906373973468724e-06, + "loss": 2.6449, + "step": 2933 + }, + { + "epoch": 0.62, + "learning_rate": 3.902782140269925e-06, + "loss": 2.6265, + "step": 2934 + }, + { + "epoch": 0.62, + "learning_rate": 3.8991909018387335e-06, + "loss": 2.6542, + "step": 2935 + }, + { + "epoch": 0.62, + "learning_rate": 3.8956002601218475e-06, + "loss": 2.6499, + "step": 2936 + }, + { + "epoch": 0.62, + "learning_rate": 3.892010217065646e-06, + "loss": 2.7068, + "step": 2937 + }, + { + "epoch": 0.62, + "learning_rate": 3.888420774616174e-06, + "loss": 2.6732, + "step": 2938 + }, + { + "epoch": 0.62, + "learning_rate": 3.8848319347191586e-06, + "loss": 2.5922, + "step": 2939 + }, + { + "epoch": 0.62, + "learning_rate": 3.88124369932e-06, + "loss": 2.6991, + "step": 2940 + }, + { + "epoch": 0.62, + "learning_rate": 3.877656070363765e-06, + "loss": 2.6329, + "step": 2941 + }, + { + "epoch": 0.62, + "learning_rate": 3.8740690497951985e-06, + "loss": 2.5863, + "step": 2942 + }, + { + "epoch": 0.62, + "learning_rate": 3.870482639558712e-06, + "loss": 2.6688, + "step": 2943 + }, + { + "epoch": 0.62, + "learning_rate": 3.8668968415983865e-06, + "loss": 2.6206, + "step": 2944 + }, + { + "epoch": 0.62, + "learning_rate": 3.86331165785797e-06, + "loss": 2.7185, + "step": 2945 + }, + { + "epoch": 0.62, + "learning_rate": 3.8597270902808815e-06, + "loss": 2.6477, + "step": 2946 + }, + { + "epoch": 0.62, + "learning_rate": 3.8561431408102e-06, + "loss": 2.7119, + "step": 2947 + }, + { + "epoch": 0.62, + "learning_rate": 3.852559811388676e-06, + "loss": 2.6264, + "step": 2948 + }, + { + "epoch": 0.62, + "learning_rate": 3.8489771039587206e-06, + "loss": 2.7197, + "step": 2949 + }, + { + "epoch": 0.62, + "learning_rate": 3.845395020462404e-06, + "loss": 2.7418, + "step": 2950 + }, + { + "epoch": 0.62, + "learning_rate": 3.841813562841466e-06, + "loss": 2.5998, + "step": 2951 + }, + { + "epoch": 0.62, + "learning_rate": 3.838232733037303e-06, + "loss": 2.5869, + "step": 2952 + }, + { + "epoch": 0.62, + "learning_rate": 3.834652532990969e-06, + "loss": 2.6349, + "step": 2953 + }, + { + "epoch": 0.62, + "learning_rate": 3.831072964643182e-06, + "loss": 2.701, + "step": 2954 + }, + { + "epoch": 0.62, + "learning_rate": 3.82749402993431e-06, + "loss": 2.6664, + "step": 2955 + }, + { + "epoch": 0.62, + "learning_rate": 3.823915730804384e-06, + "loss": 2.6516, + "step": 2956 + }, + { + "epoch": 0.62, + "learning_rate": 3.82033806919309e-06, + "loss": 2.6611, + "step": 2957 + }, + { + "epoch": 0.62, + "learning_rate": 3.816761047039765e-06, + "loss": 2.6717, + "step": 2958 + }, + { + "epoch": 0.62, + "learning_rate": 3.8131846662834022e-06, + "loss": 2.6486, + "step": 2959 + }, + { + "epoch": 0.62, + "learning_rate": 3.809608928862648e-06, + "loss": 2.6584, + "step": 2960 + }, + { + "epoch": 0.62, + "learning_rate": 3.8060338367157932e-06, + "loss": 2.6436, + "step": 2961 + }, + { + "epoch": 0.62, + "learning_rate": 3.802459391780788e-06, + "loss": 2.5881, + "step": 2962 + }, + { + "epoch": 0.62, + "learning_rate": 3.7988855959952274e-06, + "loss": 2.6525, + "step": 2963 + }, + { + "epoch": 0.62, + "learning_rate": 3.7953124512963525e-06, + "loss": 2.5943, + "step": 2964 + }, + { + "epoch": 0.62, + "learning_rate": 3.791739959621054e-06, + "loss": 2.7263, + "step": 2965 + }, + { + "epoch": 0.62, + "learning_rate": 3.788168122905872e-06, + "loss": 2.7343, + "step": 2966 + }, + { + "epoch": 0.62, + "learning_rate": 3.7845969430869824e-06, + "loss": 2.6264, + "step": 2967 + }, + { + "epoch": 0.62, + "learning_rate": 3.7810264221002135e-06, + "loss": 2.6328, + "step": 2968 + }, + { + "epoch": 0.62, + "learning_rate": 3.7774565618810342e-06, + "loss": 2.7423, + "step": 2969 + }, + { + "epoch": 0.62, + "learning_rate": 3.7738873643645523e-06, + "loss": 2.6964, + "step": 2970 + }, + { + "epoch": 0.62, + "learning_rate": 3.7703188314855205e-06, + "loss": 2.7102, + "step": 2971 + }, + { + "epoch": 0.62, + "learning_rate": 3.7667509651783284e-06, + "loss": 2.663, + "step": 2972 + }, + { + "epoch": 0.62, + "learning_rate": 3.7631837673770045e-06, + "loss": 2.6206, + "step": 2973 + }, + { + "epoch": 0.62, + "learning_rate": 3.7596172400152176e-06, + "loss": 2.6462, + "step": 2974 + }, + { + "epoch": 0.62, + "learning_rate": 3.7560513850262683e-06, + "loss": 2.6434, + "step": 2975 + }, + { + "epoch": 0.62, + "learning_rate": 3.7524862043430958e-06, + "loss": 2.6681, + "step": 2976 + }, + { + "epoch": 0.62, + "learning_rate": 3.748921699898277e-06, + "loss": 2.6275, + "step": 2977 + }, + { + "epoch": 0.62, + "learning_rate": 3.7453578736240144e-06, + "loss": 2.6895, + "step": 2978 + }, + { + "epoch": 0.62, + "learning_rate": 3.7417947274521482e-06, + "loss": 2.5784, + "step": 2979 + }, + { + "epoch": 0.63, + "learning_rate": 3.738232263314151e-06, + "loss": 2.6758, + "step": 2980 + }, + { + "epoch": 0.63, + "learning_rate": 3.7346704831411214e-06, + "loss": 2.5907, + "step": 2981 + }, + { + "epoch": 0.63, + "learning_rate": 3.7311093888637906e-06, + "loss": 2.5856, + "step": 2982 + }, + { + "epoch": 0.63, + "learning_rate": 3.727548982412517e-06, + "loss": 2.5965, + "step": 2983 + }, + { + "epoch": 0.63, + "learning_rate": 3.7239892657172838e-06, + "loss": 2.6087, + "step": 2984 + }, + { + "epoch": 0.63, + "learning_rate": 3.720430240707704e-06, + "loss": 2.6108, + "step": 2985 + }, + { + "epoch": 0.63, + "learning_rate": 3.716871909313017e-06, + "loss": 2.6258, + "step": 2986 + }, + { + "epoch": 0.63, + "learning_rate": 3.713314273462078e-06, + "loss": 2.6892, + "step": 2987 + }, + { + "epoch": 0.63, + "learning_rate": 3.7097573350833734e-06, + "loss": 2.6252, + "step": 2988 + }, + { + "epoch": 0.63, + "learning_rate": 3.70620109610501e-06, + "loss": 2.6542, + "step": 2989 + }, + { + "epoch": 0.63, + "learning_rate": 3.7026455584547104e-06, + "loss": 2.6905, + "step": 2990 + }, + { + "epoch": 0.63, + "learning_rate": 3.6990907240598243e-06, + "loss": 2.6939, + "step": 2991 + }, + { + "epoch": 0.63, + "learning_rate": 3.6955365948473154e-06, + "loss": 2.6377, + "step": 2992 + }, + { + "epoch": 0.63, + "learning_rate": 3.6919831727437643e-06, + "loss": 2.711, + "step": 2993 + }, + { + "epoch": 0.63, + "learning_rate": 3.688430459675374e-06, + "loss": 2.5972, + "step": 2994 + }, + { + "epoch": 0.63, + "learning_rate": 3.6848784575679565e-06, + "loss": 2.6626, + "step": 2995 + }, + { + "epoch": 0.63, + "learning_rate": 3.681327168346942e-06, + "loss": 2.6117, + "step": 2996 + }, + { + "epoch": 0.63, + "learning_rate": 3.6777765939373778e-06, + "loss": 2.5554, + "step": 2997 + }, + { + "epoch": 0.63, + "learning_rate": 3.6742267362639133e-06, + "loss": 2.6821, + "step": 2998 + }, + { + "epoch": 0.63, + "learning_rate": 3.670677597250819e-06, + "loss": 2.6185, + "step": 2999 + }, + { + "epoch": 0.63, + "learning_rate": 3.667129178821974e-06, + "loss": 2.6461, + "step": 3000 + }, + { + "epoch": 0.63, + "learning_rate": 3.6635814829008622e-06, + "loss": 2.5958, + "step": 3001 + }, + { + "epoch": 0.63, + "learning_rate": 3.66003451141058e-06, + "loss": 2.7365, + "step": 3002 + }, + { + "epoch": 0.63, + "learning_rate": 3.6564882662738327e-06, + "loss": 2.7088, + "step": 3003 + }, + { + "epoch": 0.63, + "learning_rate": 3.652942749412925e-06, + "loss": 2.6585, + "step": 3004 + }, + { + "epoch": 0.63, + "learning_rate": 3.6493979627497726e-06, + "loss": 2.7167, + "step": 3005 + }, + { + "epoch": 0.63, + "learning_rate": 3.6458539082058965e-06, + "loss": 2.707, + "step": 3006 + }, + { + "epoch": 0.63, + "learning_rate": 3.6423105877024146e-06, + "loss": 2.6567, + "step": 3007 + }, + { + "epoch": 0.63, + "learning_rate": 3.6387680031600514e-06, + "loss": 2.6402, + "step": 3008 + }, + { + "epoch": 0.63, + "learning_rate": 3.6352261564991353e-06, + "loss": 2.6495, + "step": 3009 + }, + { + "epoch": 0.63, + "learning_rate": 3.6316850496395863e-06, + "loss": 2.6496, + "step": 3010 + }, + { + "epoch": 0.63, + "learning_rate": 3.6281446845009306e-06, + "loss": 2.663, + "step": 3011 + }, + { + "epoch": 0.63, + "learning_rate": 3.6246050630022877e-06, + "loss": 2.6547, + "step": 3012 + }, + { + "epoch": 0.63, + "learning_rate": 3.621066187062377e-06, + "loss": 2.6502, + "step": 3013 + }, + { + "epoch": 0.63, + "learning_rate": 3.6175280585995155e-06, + "loss": 2.6378, + "step": 3014 + }, + { + "epoch": 0.63, + "learning_rate": 3.6139906795316083e-06, + "loss": 2.6579, + "step": 3015 + }, + { + "epoch": 0.63, + "learning_rate": 3.6104540517761594e-06, + "loss": 2.719, + "step": 3016 + }, + { + "epoch": 0.63, + "learning_rate": 3.6069181772502664e-06, + "loss": 2.6423, + "step": 3017 + }, + { + "epoch": 0.63, + "learning_rate": 3.603383057870615e-06, + "loss": 2.6259, + "step": 3018 + }, + { + "epoch": 0.63, + "learning_rate": 3.5998486955534843e-06, + "loss": 2.6473, + "step": 3019 + }, + { + "epoch": 0.63, + "learning_rate": 3.596315092214742e-06, + "loss": 2.5485, + "step": 3020 + }, + { + "epoch": 0.63, + "learning_rate": 3.592782249769843e-06, + "loss": 2.6435, + "step": 3021 + }, + { + "epoch": 0.63, + "learning_rate": 3.589250170133831e-06, + "loss": 2.6423, + "step": 3022 + }, + { + "epoch": 0.63, + "learning_rate": 3.5857188552213396e-06, + "loss": 2.5983, + "step": 3023 + }, + { + "epoch": 0.63, + "learning_rate": 3.58218830694658e-06, + "loss": 2.6115, + "step": 3024 + }, + { + "epoch": 0.63, + "learning_rate": 3.5786585272233543e-06, + "loss": 2.6675, + "step": 3025 + }, + { + "epoch": 0.63, + "learning_rate": 3.5751295179650493e-06, + "loss": 2.5747, + "step": 3026 + }, + { + "epoch": 0.63, + "learning_rate": 3.571601281084625e-06, + "loss": 2.7295, + "step": 3027 + }, + { + "epoch": 0.64, + "learning_rate": 3.5680738184946324e-06, + "loss": 2.6217, + "step": 3028 + }, + { + "epoch": 0.64, + "learning_rate": 3.564547132107199e-06, + "loss": 2.6671, + "step": 3029 + }, + { + "epoch": 0.64, + "learning_rate": 3.5610212238340305e-06, + "loss": 2.6717, + "step": 3030 + }, + { + "epoch": 0.64, + "learning_rate": 3.5574960955864125e-06, + "loss": 2.5909, + "step": 3031 + }, + { + "epoch": 0.64, + "learning_rate": 3.5539717492752058e-06, + "loss": 2.65, + "step": 3032 + }, + { + "epoch": 0.64, + "learning_rate": 3.55044818681085e-06, + "loss": 2.6487, + "step": 3033 + }, + { + "epoch": 0.64, + "learning_rate": 3.54692541010336e-06, + "loss": 2.6478, + "step": 3034 + }, + { + "epoch": 0.64, + "learning_rate": 3.5434034210623203e-06, + "loss": 2.6256, + "step": 3035 + }, + { + "epoch": 0.64, + "learning_rate": 3.539882221596892e-06, + "loss": 2.5995, + "step": 3036 + }, + { + "epoch": 0.64, + "learning_rate": 3.5363618136158107e-06, + "loss": 2.6576, + "step": 3037 + }, + { + "epoch": 0.64, + "learning_rate": 3.5328421990273754e-06, + "loss": 2.6563, + "step": 3038 + }, + { + "epoch": 0.64, + "learning_rate": 3.529323379739461e-06, + "loss": 2.6623, + "step": 3039 + }, + { + "epoch": 0.64, + "learning_rate": 3.525805357659513e-06, + "loss": 2.6689, + "step": 3040 + }, + { + "epoch": 0.64, + "learning_rate": 3.5222881346945366e-06, + "loss": 2.674, + "step": 3041 + }, + { + "epoch": 0.64, + "learning_rate": 3.518771712751111e-06, + "loss": 2.6774, + "step": 3042 + }, + { + "epoch": 0.64, + "learning_rate": 3.5152560937353795e-06, + "loss": 2.6502, + "step": 3043 + }, + { + "epoch": 0.64, + "learning_rate": 3.5117412795530487e-06, + "loss": 2.6734, + "step": 3044 + }, + { + "epoch": 0.64, + "learning_rate": 3.5082272721093896e-06, + "loss": 2.7093, + "step": 3045 + }, + { + "epoch": 0.64, + "learning_rate": 3.504714073309239e-06, + "loss": 2.6537, + "step": 3046 + }, + { + "epoch": 0.64, + "learning_rate": 3.5012016850569885e-06, + "loss": 2.6707, + "step": 3047 + }, + { + "epoch": 0.64, + "learning_rate": 3.497690109256597e-06, + "loss": 2.6849, + "step": 3048 + }, + { + "epoch": 0.64, + "learning_rate": 3.4941793478115788e-06, + "loss": 2.526, + "step": 3049 + }, + { + "epoch": 0.64, + "learning_rate": 3.4906694026250075e-06, + "loss": 2.7049, + "step": 3050 + }, + { + "epoch": 0.64, + "learning_rate": 3.487160275599519e-06, + "loss": 2.6761, + "step": 3051 + }, + { + "epoch": 0.64, + "learning_rate": 3.483651968637297e-06, + "loss": 2.6752, + "step": 3052 + }, + { + "epoch": 0.64, + "learning_rate": 3.480144483640087e-06, + "loss": 2.6686, + "step": 3053 + }, + { + "epoch": 0.64, + "learning_rate": 3.476637822509189e-06, + "loss": 2.6384, + "step": 3054 + }, + { + "epoch": 0.64, + "learning_rate": 3.473131987145452e-06, + "loss": 2.6115, + "step": 3055 + }, + { + "epoch": 0.64, + "learning_rate": 3.469626979449282e-06, + "loss": 2.6746, + "step": 3056 + }, + { + "epoch": 0.64, + "learning_rate": 3.4661228013206356e-06, + "loss": 2.7466, + "step": 3057 + }, + { + "epoch": 0.64, + "learning_rate": 3.4626194546590147e-06, + "loss": 2.611, + "step": 3058 + }, + { + "epoch": 0.64, + "learning_rate": 3.4591169413634766e-06, + "loss": 2.6562, + "step": 3059 + }, + { + "epoch": 0.64, + "learning_rate": 3.455615263332627e-06, + "loss": 2.6048, + "step": 3060 + }, + { + "epoch": 0.64, + "learning_rate": 3.4521144224646115e-06, + "loss": 2.6268, + "step": 3061 + }, + { + "epoch": 0.64, + "learning_rate": 3.448614420657129e-06, + "loss": 2.6602, + "step": 3062 + }, + { + "epoch": 0.64, + "learning_rate": 3.4451152598074242e-06, + "loss": 2.6399, + "step": 3063 + }, + { + "epoch": 0.64, + "learning_rate": 3.441616941812279e-06, + "loss": 2.7166, + "step": 3064 + }, + { + "epoch": 0.64, + "learning_rate": 3.4381194685680237e-06, + "loss": 2.6095, + "step": 3065 + }, + { + "epoch": 0.64, + "learning_rate": 3.4346228419705306e-06, + "loss": 2.609, + "step": 3066 + }, + { + "epoch": 0.64, + "learning_rate": 3.431127063915213e-06, + "loss": 2.6888, + "step": 3067 + }, + { + "epoch": 0.64, + "learning_rate": 3.42763213629702e-06, + "loss": 2.6157, + "step": 3068 + }, + { + "epoch": 0.64, + "learning_rate": 3.4241380610104446e-06, + "loss": 2.6061, + "step": 3069 + }, + { + "epoch": 0.64, + "learning_rate": 3.4206448399495164e-06, + "loss": 2.6116, + "step": 3070 + }, + { + "epoch": 0.64, + "learning_rate": 3.4171524750078026e-06, + "loss": 2.6437, + "step": 3071 + }, + { + "epoch": 0.64, + "learning_rate": 3.413660968078403e-06, + "loss": 2.6768, + "step": 3072 + }, + { + "epoch": 0.64, + "learning_rate": 3.4101703210539554e-06, + "loss": 2.7413, + "step": 3073 + }, + { + "epoch": 0.64, + "learning_rate": 3.406680535826634e-06, + "loss": 2.686, + "step": 3074 + }, + { + "epoch": 0.65, + "learning_rate": 3.403191614288137e-06, + "loss": 2.6404, + "step": 3075 + }, + { + "epoch": 0.65, + "learning_rate": 3.3997035583297044e-06, + "loss": 2.6581, + "step": 3076 + }, + { + "epoch": 0.65, + "learning_rate": 3.3962163698421013e-06, + "loss": 2.5855, + "step": 3077 + }, + { + "epoch": 0.65, + "learning_rate": 3.3927300507156235e-06, + "loss": 2.6772, + "step": 3078 + }, + { + "epoch": 0.65, + "learning_rate": 3.389244602840096e-06, + "loss": 2.6938, + "step": 3079 + }, + { + "epoch": 0.65, + "learning_rate": 3.3857600281048725e-06, + "loss": 2.5572, + "step": 3080 + }, + { + "epoch": 0.65, + "learning_rate": 3.3822763283988304e-06, + "loss": 2.7293, + "step": 3081 + }, + { + "epoch": 0.65, + "learning_rate": 3.378793505610376e-06, + "loss": 2.7345, + "step": 3082 + }, + { + "epoch": 0.65, + "learning_rate": 3.3753115616274414e-06, + "loss": 2.6772, + "step": 3083 + }, + { + "epoch": 0.65, + "learning_rate": 3.371830498337475e-06, + "loss": 2.6541, + "step": 3084 + }, + { + "epoch": 0.65, + "learning_rate": 3.3683503176274573e-06, + "loss": 2.6551, + "step": 3085 + }, + { + "epoch": 0.65, + "learning_rate": 3.364871021383882e-06, + "loss": 2.6293, + "step": 3086 + }, + { + "epoch": 0.65, + "learning_rate": 3.3613926114927687e-06, + "loss": 2.5975, + "step": 3087 + }, + { + "epoch": 0.65, + "learning_rate": 3.3579150898396575e-06, + "loss": 2.7173, + "step": 3088 + }, + { + "epoch": 0.65, + "learning_rate": 3.354438458309599e-06, + "loss": 2.6713, + "step": 3089 + }, + { + "epoch": 0.65, + "learning_rate": 3.350962718787171e-06, + "loss": 2.654, + "step": 3090 + }, + { + "epoch": 0.65, + "learning_rate": 3.3474878731564636e-06, + "loss": 2.6575, + "step": 3091 + }, + { + "epoch": 0.65, + "learning_rate": 3.34401392330108e-06, + "loss": 2.6649, + "step": 3092 + }, + { + "epoch": 0.65, + "learning_rate": 3.3405408711041416e-06, + "loss": 2.6611, + "step": 3093 + }, + { + "epoch": 0.65, + "learning_rate": 3.3370687184482837e-06, + "loss": 2.6129, + "step": 3094 + }, + { + "epoch": 0.65, + "learning_rate": 3.3335974672156478e-06, + "loss": 2.6362, + "step": 3095 + }, + { + "epoch": 0.65, + "learning_rate": 3.3301271192878933e-06, + "loss": 2.6746, + "step": 3096 + }, + { + "epoch": 0.65, + "learning_rate": 3.3266576765461893e-06, + "loss": 2.6236, + "step": 3097 + }, + { + "epoch": 0.65, + "learning_rate": 3.323189140871209e-06, + "loss": 2.6446, + "step": 3098 + }, + { + "epoch": 0.65, + "learning_rate": 3.3197215141431393e-06, + "loss": 2.6818, + "step": 3099 + }, + { + "epoch": 0.65, + "learning_rate": 3.3162547982416746e-06, + "loss": 2.694, + "step": 3100 + }, + { + "epoch": 0.65, + "learning_rate": 3.3127889950460094e-06, + "loss": 2.6314, + "step": 3101 + }, + { + "epoch": 0.65, + "learning_rate": 3.3093241064348504e-06, + "loss": 2.6314, + "step": 3102 + }, + { + "epoch": 0.65, + "learning_rate": 3.3058601342864055e-06, + "loss": 2.7166, + "step": 3103 + }, + { + "epoch": 0.65, + "learning_rate": 3.3023970804783846e-06, + "loss": 2.6209, + "step": 3104 + }, + { + "epoch": 0.65, + "learning_rate": 3.298934946888005e-06, + "loss": 2.667, + "step": 3105 + }, + { + "epoch": 0.65, + "learning_rate": 3.2954737353919765e-06, + "loss": 2.6198, + "step": 3106 + }, + { + "epoch": 0.65, + "learning_rate": 3.2920134478665157e-06, + "loss": 2.6396, + "step": 3107 + }, + { + "epoch": 0.65, + "learning_rate": 3.2885540861873394e-06, + "loss": 2.6841, + "step": 3108 + }, + { + "epoch": 0.65, + "learning_rate": 3.285095652229655e-06, + "loss": 2.6016, + "step": 3109 + }, + { + "epoch": 0.65, + "learning_rate": 3.2816381478681754e-06, + "loss": 2.7135, + "step": 3110 + }, + { + "epoch": 0.65, + "learning_rate": 3.2781815749771064e-06, + "loss": 2.654, + "step": 3111 + }, + { + "epoch": 0.65, + "learning_rate": 3.274725935430144e-06, + "loss": 2.7401, + "step": 3112 + }, + { + "epoch": 0.65, + "learning_rate": 3.2712712311004868e-06, + "loss": 2.6259, + "step": 3113 + }, + { + "epoch": 0.65, + "learning_rate": 3.2678174638608216e-06, + "loss": 2.6957, + "step": 3114 + }, + { + "epoch": 0.65, + "learning_rate": 3.264364635583328e-06, + "loss": 2.6822, + "step": 3115 + }, + { + "epoch": 0.65, + "learning_rate": 3.2609127481396745e-06, + "loss": 2.6515, + "step": 3116 + }, + { + "epoch": 0.65, + "learning_rate": 3.2574618034010245e-06, + "loss": 2.6432, + "step": 3117 + }, + { + "epoch": 0.65, + "learning_rate": 3.254011803238026e-06, + "loss": 2.6261, + "step": 3118 + }, + { + "epoch": 0.65, + "learning_rate": 3.2505627495208157e-06, + "loss": 2.6521, + "step": 3119 + }, + { + "epoch": 0.65, + "learning_rate": 3.2471146441190225e-06, + "loss": 2.64, + "step": 3120 + }, + { + "epoch": 0.65, + "learning_rate": 3.2436674889017515e-06, + "loss": 2.6527, + "step": 3121 + }, + { + "epoch": 0.65, + "learning_rate": 3.2402212857376013e-06, + "loss": 2.779, + "step": 3122 + }, + { + "epoch": 0.66, + "learning_rate": 3.2367760364946515e-06, + "loss": 2.6442, + "step": 3123 + }, + { + "epoch": 0.66, + "learning_rate": 3.2333317430404616e-06, + "loss": 2.7384, + "step": 3124 + }, + { + "epoch": 0.66, + "learning_rate": 3.229888407242078e-06, + "loss": 2.6448, + "step": 3125 + }, + { + "epoch": 0.66, + "learning_rate": 3.226446030966025e-06, + "loss": 2.6685, + "step": 3126 + }, + { + "epoch": 0.66, + "learning_rate": 3.2230046160783075e-06, + "loss": 2.7439, + "step": 3127 + }, + { + "epoch": 0.66, + "learning_rate": 3.21956416444441e-06, + "loss": 2.6095, + "step": 3128 + }, + { + "epoch": 0.66, + "learning_rate": 3.216124677929292e-06, + "loss": 2.615, + "step": 3129 + }, + { + "epoch": 0.66, + "learning_rate": 3.2126861583973933e-06, + "loss": 2.6194, + "step": 3130 + }, + { + "epoch": 0.66, + "learning_rate": 3.209248607712631e-06, + "loss": 2.6774, + "step": 3131 + }, + { + "epoch": 0.66, + "learning_rate": 3.205812027738389e-06, + "loss": 2.7047, + "step": 3132 + }, + { + "epoch": 0.66, + "learning_rate": 3.202376420337533e-06, + "loss": 2.6342, + "step": 3133 + }, + { + "epoch": 0.66, + "learning_rate": 3.1989417873724006e-06, + "loss": 2.628, + "step": 3134 + }, + { + "epoch": 0.66, + "learning_rate": 3.195508130704795e-06, + "loss": 2.6562, + "step": 3135 + }, + { + "epoch": 0.66, + "learning_rate": 3.1920754521959964e-06, + "loss": 2.7168, + "step": 3136 + }, + { + "epoch": 0.66, + "learning_rate": 3.188643753706755e-06, + "loss": 2.6174, + "step": 3137 + }, + { + "epoch": 0.66, + "learning_rate": 3.185213037097284e-06, + "loss": 2.8094, + "step": 3138 + }, + { + "epoch": 0.66, + "learning_rate": 3.1817833042272693e-06, + "loss": 2.6018, + "step": 3139 + }, + { + "epoch": 0.66, + "learning_rate": 3.178354556955864e-06, + "loss": 2.6915, + "step": 3140 + }, + { + "epoch": 0.66, + "learning_rate": 3.174926797141682e-06, + "loss": 2.6288, + "step": 3141 + }, + { + "epoch": 0.66, + "learning_rate": 3.1715000266428086e-06, + "loss": 2.6472, + "step": 3142 + }, + { + "epoch": 0.66, + "learning_rate": 3.1680742473167857e-06, + "loss": 2.7575, + "step": 3143 + }, + { + "epoch": 0.66, + "learning_rate": 3.1646494610206235e-06, + "loss": 2.6665, + "step": 3144 + }, + { + "epoch": 0.66, + "learning_rate": 3.1612256696107935e-06, + "loss": 2.6755, + "step": 3145 + }, + { + "epoch": 0.66, + "learning_rate": 3.157802874943222e-06, + "loss": 2.6504, + "step": 3146 + }, + { + "epoch": 0.66, + "learning_rate": 3.154381078873302e-06, + "loss": 2.6824, + "step": 3147 + }, + { + "epoch": 0.66, + "learning_rate": 3.150960283255885e-06, + "loss": 2.6909, + "step": 3148 + }, + { + "epoch": 0.66, + "learning_rate": 3.147540489945272e-06, + "loss": 2.6337, + "step": 3149 + }, + { + "epoch": 0.66, + "learning_rate": 3.1441217007952306e-06, + "loss": 2.5962, + "step": 3150 + }, + { + "epoch": 0.66, + "learning_rate": 3.140703917658979e-06, + "loss": 2.6722, + "step": 3151 + }, + { + "epoch": 0.66, + "learning_rate": 3.1372871423891894e-06, + "loss": 2.6387, + "step": 3152 + }, + { + "epoch": 0.66, + "learning_rate": 3.1338713768379914e-06, + "loss": 2.6061, + "step": 3153 + }, + { + "epoch": 0.66, + "learning_rate": 3.130456622856964e-06, + "loss": 2.634, + "step": 3154 + }, + { + "epoch": 0.66, + "learning_rate": 3.1270428822971377e-06, + "loss": 2.6421, + "step": 3155 + }, + { + "epoch": 0.66, + "learning_rate": 3.123630157008997e-06, + "loss": 2.6871, + "step": 3156 + }, + { + "epoch": 0.66, + "learning_rate": 3.1202184488424736e-06, + "loss": 2.6308, + "step": 3157 + }, + { + "epoch": 0.66, + "learning_rate": 3.116807759646947e-06, + "loss": 2.6123, + "step": 3158 + }, + { + "epoch": 0.66, + "learning_rate": 3.1133980912712454e-06, + "loss": 2.7216, + "step": 3159 + }, + { + "epoch": 0.66, + "learning_rate": 3.109989445563647e-06, + "loss": 2.6297, + "step": 3160 + }, + { + "epoch": 0.66, + "learning_rate": 3.106581824371867e-06, + "loss": 2.6199, + "step": 3161 + }, + { + "epoch": 0.66, + "learning_rate": 3.103175229543075e-06, + "loss": 2.6822, + "step": 3162 + }, + { + "epoch": 0.66, + "learning_rate": 3.099769662923879e-06, + "loss": 2.6134, + "step": 3163 + }, + { + "epoch": 0.66, + "learning_rate": 3.0963651263603283e-06, + "loss": 2.5942, + "step": 3164 + }, + { + "epoch": 0.66, + "learning_rate": 3.092961621697919e-06, + "loss": 2.5549, + "step": 3165 + }, + { + "epoch": 0.66, + "learning_rate": 3.0895591507815826e-06, + "loss": 2.671, + "step": 3166 + }, + { + "epoch": 0.66, + "learning_rate": 3.086157715455694e-06, + "loss": 2.644, + "step": 3167 + }, + { + "epoch": 0.66, + "learning_rate": 3.0827573175640664e-06, + "loss": 2.6921, + "step": 3168 + }, + { + "epoch": 0.66, + "learning_rate": 3.079357958949946e-06, + "loss": 2.6248, + "step": 3169 + }, + { + "epoch": 0.66, + "learning_rate": 3.0759596414560217e-06, + "loss": 2.5752, + "step": 3170 + }, + { + "epoch": 0.67, + "learning_rate": 3.0725623669244163e-06, + "loss": 2.5986, + "step": 3171 + }, + { + "epoch": 0.67, + "learning_rate": 3.069166137196684e-06, + "loss": 2.6883, + "step": 3172 + }, + { + "epoch": 0.67, + "learning_rate": 3.065770954113816e-06, + "loss": 2.6521, + "step": 3173 + }, + { + "epoch": 0.67, + "learning_rate": 3.0623768195162373e-06, + "loss": 2.6025, + "step": 3174 + }, + { + "epoch": 0.67, + "learning_rate": 3.0589837352437984e-06, + "loss": 2.6119, + "step": 3175 + }, + { + "epoch": 0.67, + "learning_rate": 3.0555917031357875e-06, + "loss": 2.5326, + "step": 3176 + }, + { + "epoch": 0.67, + "learning_rate": 3.0522007250309194e-06, + "loss": 2.6804, + "step": 3177 + }, + { + "epoch": 0.67, + "learning_rate": 3.0488108027673356e-06, + "loss": 2.5973, + "step": 3178 + }, + { + "epoch": 0.67, + "learning_rate": 3.0454219381826117e-06, + "loss": 2.6258, + "step": 3179 + }, + { + "epoch": 0.67, + "learning_rate": 3.0420341331137403e-06, + "loss": 2.6671, + "step": 3180 + }, + { + "epoch": 0.67, + "learning_rate": 3.038647389397147e-06, + "loss": 2.6192, + "step": 3181 + }, + { + "epoch": 0.67, + "learning_rate": 3.035261708868683e-06, + "loss": 2.6357, + "step": 3182 + }, + { + "epoch": 0.67, + "learning_rate": 3.031877093363615e-06, + "loss": 2.6022, + "step": 3183 + }, + { + "epoch": 0.67, + "learning_rate": 3.0284935447166405e-06, + "loss": 2.592, + "step": 3184 + }, + { + "epoch": 0.67, + "learning_rate": 3.0251110647618777e-06, + "loss": 2.6195, + "step": 3185 + }, + { + "epoch": 0.67, + "learning_rate": 3.021729655332858e-06, + "loss": 2.6267, + "step": 3186 + }, + { + "epoch": 0.67, + "learning_rate": 3.0183493182625425e-06, + "loss": 2.7265, + "step": 3187 + }, + { + "epoch": 0.67, + "learning_rate": 3.014970055383306e-06, + "loss": 2.6186, + "step": 3188 + }, + { + "epoch": 0.67, + "learning_rate": 3.0115918685269407e-06, + "loss": 2.7246, + "step": 3189 + }, + { + "epoch": 0.67, + "learning_rate": 3.008214759524657e-06, + "loss": 2.6508, + "step": 3190 + }, + { + "epoch": 0.67, + "learning_rate": 3.00483873020708e-06, + "loss": 2.6751, + "step": 3191 + }, + { + "epoch": 0.67, + "learning_rate": 3.0014637824042504e-06, + "loss": 2.7048, + "step": 3192 + }, + { + "epoch": 0.67, + "learning_rate": 2.9980899179456207e-06, + "loss": 2.6583, + "step": 3193 + }, + { + "epoch": 0.67, + "learning_rate": 2.9947171386600614e-06, + "loss": 2.6959, + "step": 3194 + }, + { + "epoch": 0.67, + "learning_rate": 2.9913454463758475e-06, + "loss": 2.625, + "step": 3195 + }, + { + "epoch": 0.67, + "learning_rate": 2.9879748429206677e-06, + "loss": 2.6527, + "step": 3196 + }, + { + "epoch": 0.67, + "learning_rate": 2.9846053301216266e-06, + "loss": 2.6026, + "step": 3197 + }, + { + "epoch": 0.67, + "learning_rate": 2.981236909805225e-06, + "loss": 2.6655, + "step": 3198 + }, + { + "epoch": 0.67, + "learning_rate": 2.9778695837973835e-06, + "loss": 2.6412, + "step": 3199 + }, + { + "epoch": 0.67, + "learning_rate": 2.9745033539234225e-06, + "loss": 2.6703, + "step": 3200 + }, + { + "epoch": 0.67, + "learning_rate": 2.9711382220080707e-06, + "loss": 2.6641, + "step": 3201 + }, + { + "epoch": 0.67, + "learning_rate": 2.967774189875462e-06, + "loss": 2.5928, + "step": 3202 + }, + { + "epoch": 0.67, + "learning_rate": 2.9644112593491315e-06, + "loss": 2.6651, + "step": 3203 + }, + { + "epoch": 0.67, + "learning_rate": 2.9610494322520205e-06, + "loss": 2.6588, + "step": 3204 + }, + { + "epoch": 0.67, + "learning_rate": 2.957688710406472e-06, + "loss": 2.6506, + "step": 3205 + }, + { + "epoch": 0.67, + "learning_rate": 2.9543290956342257e-06, + "loss": 2.6105, + "step": 3206 + }, + { + "epoch": 0.67, + "learning_rate": 2.950970589756425e-06, + "loss": 2.6382, + "step": 3207 + }, + { + "epoch": 0.67, + "learning_rate": 2.9476131945936136e-06, + "loss": 2.6222, + "step": 3208 + }, + { + "epoch": 0.67, + "learning_rate": 2.9442569119657272e-06, + "loss": 2.668, + "step": 3209 + }, + { + "epoch": 0.67, + "learning_rate": 2.940901743692103e-06, + "loss": 2.6281, + "step": 3210 + }, + { + "epoch": 0.67, + "learning_rate": 2.937547691591477e-06, + "loss": 2.6558, + "step": 3211 + }, + { + "epoch": 0.67, + "learning_rate": 2.93419475748197e-06, + "loss": 2.6126, + "step": 3212 + }, + { + "epoch": 0.67, + "learning_rate": 2.930842943181107e-06, + "loss": 2.6823, + "step": 3213 + }, + { + "epoch": 0.67, + "learning_rate": 2.9274922505058023e-06, + "loss": 2.6244, + "step": 3214 + }, + { + "epoch": 0.67, + "learning_rate": 2.9241426812723594e-06, + "loss": 2.6772, + "step": 3215 + }, + { + "epoch": 0.67, + "learning_rate": 2.920794237296477e-06, + "loss": 2.6715, + "step": 3216 + }, + { + "epoch": 0.67, + "learning_rate": 2.917446920393246e-06, + "loss": 2.6698, + "step": 3217 + }, + { + "epoch": 0.68, + "learning_rate": 2.9141007323771354e-06, + "loss": 2.6468, + "step": 3218 + }, + { + "epoch": 0.68, + "learning_rate": 2.9107556750620125e-06, + "loss": 2.6555, + "step": 3219 + }, + { + "epoch": 0.68, + "learning_rate": 2.90741175026113e-06, + "loss": 2.6863, + "step": 3220 + }, + { + "epoch": 0.68, + "learning_rate": 2.904068959787123e-06, + "loss": 2.6622, + "step": 3221 + }, + { + "epoch": 0.68, + "learning_rate": 2.900727305452018e-06, + "loss": 2.6133, + "step": 3222 + }, + { + "epoch": 0.68, + "learning_rate": 2.897386789067217e-06, + "loss": 2.6701, + "step": 3223 + }, + { + "epoch": 0.68, + "learning_rate": 2.8940474124435113e-06, + "loss": 2.5804, + "step": 3224 + }, + { + "epoch": 0.68, + "learning_rate": 2.8907091773910767e-06, + "loss": 2.6238, + "step": 3225 + }, + { + "epoch": 0.68, + "learning_rate": 2.88737208571946e-06, + "loss": 2.661, + "step": 3226 + }, + { + "epoch": 0.68, + "learning_rate": 2.884036139237598e-06, + "loss": 2.7094, + "step": 3227 + }, + { + "epoch": 0.68, + "learning_rate": 2.8807013397538052e-06, + "loss": 2.6378, + "step": 3228 + }, + { + "epoch": 0.68, + "learning_rate": 2.8773676890757686e-06, + "loss": 2.6439, + "step": 3229 + }, + { + "epoch": 0.68, + "learning_rate": 2.874035189010558e-06, + "loss": 2.6084, + "step": 3230 + }, + { + "epoch": 0.68, + "learning_rate": 2.8707038413646195e-06, + "loss": 2.5824, + "step": 3231 + }, + { + "epoch": 0.68, + "learning_rate": 2.8673736479437693e-06, + "loss": 2.6603, + "step": 3232 + }, + { + "epoch": 0.68, + "learning_rate": 2.864044610553204e-06, + "loss": 2.7048, + "step": 3233 + }, + { + "epoch": 0.68, + "learning_rate": 2.8607167309974913e-06, + "loss": 2.6921, + "step": 3234 + }, + { + "epoch": 0.68, + "learning_rate": 2.8573900110805687e-06, + "loss": 2.6561, + "step": 3235 + }, + { + "epoch": 0.68, + "learning_rate": 2.8540644526057515e-06, + "loss": 2.6524, + "step": 3236 + }, + { + "epoch": 0.68, + "learning_rate": 2.850740057375716e-06, + "loss": 2.6112, + "step": 3237 + }, + { + "epoch": 0.68, + "learning_rate": 2.8474168271925164e-06, + "loss": 2.6567, + "step": 3238 + }, + { + "epoch": 0.68, + "learning_rate": 2.8440947638575728e-06, + "loss": 2.6931, + "step": 3239 + }, + { + "epoch": 0.68, + "learning_rate": 2.84077386917167e-06, + "loss": 2.6583, + "step": 3240 + }, + { + "epoch": 0.68, + "learning_rate": 2.8374541449349618e-06, + "loss": 2.6866, + "step": 3241 + }, + { + "epoch": 0.68, + "learning_rate": 2.8341355929469685e-06, + "loss": 2.6575, + "step": 3242 + }, + { + "epoch": 0.68, + "learning_rate": 2.830818215006573e-06, + "loss": 2.5843, + "step": 3243 + }, + { + "epoch": 0.68, + "learning_rate": 2.8275020129120255e-06, + "loss": 2.6367, + "step": 3244 + }, + { + "epoch": 0.68, + "learning_rate": 2.8241869884609306e-06, + "loss": 2.684, + "step": 3245 + }, + { + "epoch": 0.68, + "learning_rate": 2.8208731434502624e-06, + "loss": 2.6369, + "step": 3246 + }, + { + "epoch": 0.68, + "learning_rate": 2.8175604796763535e-06, + "loss": 2.6747, + "step": 3247 + }, + { + "epoch": 0.68, + "learning_rate": 2.8142489989348963e-06, + "loss": 2.6182, + "step": 3248 + }, + { + "epoch": 0.68, + "learning_rate": 2.8109387030209378e-06, + "loss": 2.6057, + "step": 3249 + }, + { + "epoch": 0.68, + "learning_rate": 2.807629593728889e-06, + "loss": 2.703, + "step": 3250 + }, + { + "epoch": 0.68, + "learning_rate": 2.804321672852517e-06, + "loss": 2.636, + "step": 3251 + }, + { + "epoch": 0.68, + "learning_rate": 2.801014942184937e-06, + "loss": 2.7136, + "step": 3252 + }, + { + "epoch": 0.68, + "learning_rate": 2.797709403518628e-06, + "loss": 2.6241, + "step": 3253 + }, + { + "epoch": 0.68, + "learning_rate": 2.7944050586454215e-06, + "loss": 2.6385, + "step": 3254 + }, + { + "epoch": 0.68, + "learning_rate": 2.791101909356495e-06, + "loss": 2.6506, + "step": 3255 + }, + { + "epoch": 0.68, + "learning_rate": 2.7877999574423888e-06, + "loss": 2.6524, + "step": 3256 + }, + { + "epoch": 0.68, + "learning_rate": 2.784499204692981e-06, + "loss": 2.6686, + "step": 3257 + }, + { + "epoch": 0.68, + "learning_rate": 2.7811996528975116e-06, + "loss": 2.6946, + "step": 3258 + }, + { + "epoch": 0.68, + "learning_rate": 2.777901303844565e-06, + "loss": 2.6535, + "step": 3259 + }, + { + "epoch": 0.68, + "learning_rate": 2.7746041593220708e-06, + "loss": 2.6229, + "step": 3260 + }, + { + "epoch": 0.68, + "learning_rate": 2.771308221117309e-06, + "loss": 2.6513, + "step": 3261 + }, + { + "epoch": 0.68, + "learning_rate": 2.7680134910169076e-06, + "loss": 2.6046, + "step": 3262 + }, + { + "epoch": 0.68, + "learning_rate": 2.764719970806834e-06, + "loss": 2.6608, + "step": 3263 + }, + { + "epoch": 0.68, + "learning_rate": 2.7614276622724034e-06, + "loss": 2.7327, + "step": 3264 + }, + { + "epoch": 0.68, + "learning_rate": 2.758136567198276e-06, + "loss": 2.6414, + "step": 3265 + }, + { + "epoch": 0.69, + "learning_rate": 2.7548466873684487e-06, + "loss": 2.6444, + "step": 3266 + }, + { + "epoch": 0.69, + "learning_rate": 2.7515580245662642e-06, + "loss": 2.622, + "step": 3267 + }, + { + "epoch": 0.69, + "learning_rate": 2.7482705805744036e-06, + "loss": 2.6529, + "step": 3268 + }, + { + "epoch": 0.69, + "learning_rate": 2.744984357174889e-06, + "loss": 2.6172, + "step": 3269 + }, + { + "epoch": 0.69, + "learning_rate": 2.7416993561490792e-06, + "loss": 2.6538, + "step": 3270 + }, + { + "epoch": 0.69, + "learning_rate": 2.7384155792776724e-06, + "loss": 2.7075, + "step": 3271 + }, + { + "epoch": 0.69, + "learning_rate": 2.735133028340698e-06, + "loss": 2.7104, + "step": 3272 + }, + { + "epoch": 0.69, + "learning_rate": 2.7318517051175285e-06, + "loss": 2.6058, + "step": 3273 + }, + { + "epoch": 0.69, + "learning_rate": 2.7285716113868637e-06, + "loss": 2.6399, + "step": 3274 + }, + { + "epoch": 0.69, + "learning_rate": 2.7252927489267412e-06, + "loss": 2.6675, + "step": 3275 + }, + { + "epoch": 0.69, + "learning_rate": 2.722015119514533e-06, + "loss": 2.5875, + "step": 3276 + }, + { + "epoch": 0.69, + "learning_rate": 2.7187387249269346e-06, + "loss": 2.5922, + "step": 3277 + }, + { + "epoch": 0.69, + "learning_rate": 2.7154635669399815e-06, + "loss": 2.6909, + "step": 3278 + }, + { + "epoch": 0.69, + "learning_rate": 2.7121896473290345e-06, + "loss": 2.6686, + "step": 3279 + }, + { + "epoch": 0.69, + "learning_rate": 2.708916967868781e-06, + "loss": 2.6689, + "step": 3280 + }, + { + "epoch": 0.69, + "learning_rate": 2.7056455303332395e-06, + "loss": 2.7007, + "step": 3281 + }, + { + "epoch": 0.69, + "learning_rate": 2.7023753364957574e-06, + "loss": 2.6925, + "step": 3282 + }, + { + "epoch": 0.69, + "learning_rate": 2.6991063881289993e-06, + "loss": 2.6068, + "step": 3283 + }, + { + "epoch": 0.69, + "learning_rate": 2.6958386870049635e-06, + "loss": 2.6524, + "step": 3284 + }, + { + "epoch": 0.69, + "learning_rate": 2.6925722348949713e-06, + "loss": 2.7001, + "step": 3285 + }, + { + "epoch": 0.69, + "learning_rate": 2.689307033569659e-06, + "loss": 2.6027, + "step": 3286 + }, + { + "epoch": 0.69, + "learning_rate": 2.6860430847989937e-06, + "loss": 2.7431, + "step": 3287 + }, + { + "epoch": 0.69, + "learning_rate": 2.682780390352262e-06, + "loss": 2.6573, + "step": 3288 + }, + { + "epoch": 0.69, + "learning_rate": 2.679518951998066e-06, + "loss": 2.6407, + "step": 3289 + }, + { + "epoch": 0.69, + "learning_rate": 2.676258771504329e-06, + "loss": 2.691, + "step": 3290 + }, + { + "epoch": 0.69, + "learning_rate": 2.672999850638296e-06, + "loss": 2.6638, + "step": 3291 + }, + { + "epoch": 0.69, + "learning_rate": 2.6697421911665266e-06, + "loss": 2.6658, + "step": 3292 + }, + { + "epoch": 0.69, + "learning_rate": 2.666485794854894e-06, + "loss": 2.6818, + "step": 3293 + }, + { + "epoch": 0.69, + "learning_rate": 2.66323066346859e-06, + "loss": 2.6306, + "step": 3294 + }, + { + "epoch": 0.69, + "learning_rate": 2.6599767987721204e-06, + "loss": 2.6003, + "step": 3295 + }, + { + "epoch": 0.69, + "learning_rate": 2.656724202529306e-06, + "loss": 2.6275, + "step": 3296 + }, + { + "epoch": 0.69, + "learning_rate": 2.6534728765032735e-06, + "loss": 2.6191, + "step": 3297 + }, + { + "epoch": 0.69, + "learning_rate": 2.6502228224564674e-06, + "loss": 2.6425, + "step": 3298 + }, + { + "epoch": 0.69, + "learning_rate": 2.646974042150642e-06, + "loss": 2.7057, + "step": 3299 + }, + { + "epoch": 0.69, + "learning_rate": 2.643726537346858e-06, + "loss": 2.6791, + "step": 3300 + }, + { + "epoch": 0.69, + "learning_rate": 2.6404803098054864e-06, + "loss": 2.6741, + "step": 3301 + }, + { + "epoch": 0.69, + "learning_rate": 2.6372353612862097e-06, + "loss": 2.6667, + "step": 3302 + }, + { + "epoch": 0.69, + "learning_rate": 2.6339916935480074e-06, + "loss": 2.5933, + "step": 3303 + }, + { + "epoch": 0.69, + "learning_rate": 2.6307493083491743e-06, + "loss": 2.5993, + "step": 3304 + }, + { + "epoch": 0.69, + "learning_rate": 2.627508207447308e-06, + "loss": 2.6687, + "step": 3305 + }, + { + "epoch": 0.69, + "learning_rate": 2.624268392599304e-06, + "loss": 2.6504, + "step": 3306 + }, + { + "epoch": 0.69, + "learning_rate": 2.6210298655613675e-06, + "loss": 2.8095, + "step": 3307 + }, + { + "epoch": 0.69, + "learning_rate": 2.617792628089004e-06, + "loss": 2.6407, + "step": 3308 + }, + { + "epoch": 0.69, + "learning_rate": 2.614556681937016e-06, + "loss": 2.5914, + "step": 3309 + }, + { + "epoch": 0.69, + "learning_rate": 2.6113220288595108e-06, + "loss": 2.6431, + "step": 3310 + }, + { + "epoch": 0.69, + "learning_rate": 2.6080886706098953e-06, + "loss": 2.5787, + "step": 3311 + }, + { + "epoch": 0.69, + "learning_rate": 2.6048566089408677e-06, + "loss": 2.6024, + "step": 3312 + }, + { + "epoch": 0.69, + "learning_rate": 2.6016258456044324e-06, + "loss": 2.6328, + "step": 3313 + }, + { + "epoch": 0.7, + "learning_rate": 2.598396382351881e-06, + "loss": 2.648, + "step": 3314 + }, + { + "epoch": 0.7, + "learning_rate": 2.595168220933808e-06, + "loss": 2.6744, + "step": 3315 + }, + { + "epoch": 0.7, + "learning_rate": 2.591941363100097e-06, + "loss": 2.6276, + "step": 3316 + }, + { + "epoch": 0.7, + "learning_rate": 2.5887158105999296e-06, + "loss": 2.6204, + "step": 3317 + }, + { + "epoch": 0.7, + "learning_rate": 2.5854915651817752e-06, + "loss": 2.6349, + "step": 3318 + }, + { + "epoch": 0.7, + "learning_rate": 2.5822686285934003e-06, + "loss": 2.6618, + "step": 3319 + }, + { + "epoch": 0.7, + "learning_rate": 2.579047002581853e-06, + "loss": 2.6182, + "step": 3320 + }, + { + "epoch": 0.7, + "learning_rate": 2.575826688893479e-06, + "loss": 2.6529, + "step": 3321 + }, + { + "epoch": 0.7, + "learning_rate": 2.5726076892739127e-06, + "loss": 2.6714, + "step": 3322 + }, + { + "epoch": 0.7, + "learning_rate": 2.5693900054680687e-06, + "loss": 2.6813, + "step": 3323 + }, + { + "epoch": 0.7, + "learning_rate": 2.566173639220155e-06, + "loss": 2.5702, + "step": 3324 + }, + { + "epoch": 0.7, + "learning_rate": 2.562958592273666e-06, + "loss": 2.5918, + "step": 3325 + }, + { + "epoch": 0.7, + "learning_rate": 2.559744866371374e-06, + "loss": 2.6733, + "step": 3326 + }, + { + "epoch": 0.7, + "learning_rate": 2.5565324632553424e-06, + "loss": 2.6715, + "step": 3327 + }, + { + "epoch": 0.7, + "learning_rate": 2.553321384666916e-06, + "loss": 2.6722, + "step": 3328 + }, + { + "epoch": 0.7, + "learning_rate": 2.5501116323467158e-06, + "loss": 2.6869, + "step": 3329 + }, + { + "epoch": 0.7, + "learning_rate": 2.5469032080346546e-06, + "loss": 2.6226, + "step": 3330 + }, + { + "epoch": 0.7, + "learning_rate": 2.543696113469913e-06, + "loss": 2.6881, + "step": 3331 + }, + { + "epoch": 0.7, + "learning_rate": 2.540490350390961e-06, + "loss": 2.6106, + "step": 3332 + }, + { + "epoch": 0.7, + "learning_rate": 2.5372859205355438e-06, + "loss": 2.635, + "step": 3333 + }, + { + "epoch": 0.7, + "learning_rate": 2.534082825640679e-06, + "loss": 2.6057, + "step": 3334 + }, + { + "epoch": 0.7, + "learning_rate": 2.5308810674426664e-06, + "loss": 2.5823, + "step": 3335 + }, + { + "epoch": 0.7, + "learning_rate": 2.5276806476770823e-06, + "loss": 2.5575, + "step": 3336 + }, + { + "epoch": 0.7, + "learning_rate": 2.5244815680787688e-06, + "loss": 2.6762, + "step": 3337 + }, + { + "epoch": 0.7, + "learning_rate": 2.5212838303818504e-06, + "loss": 2.6, + "step": 3338 + }, + { + "epoch": 0.7, + "learning_rate": 2.5180874363197217e-06, + "loss": 2.6776, + "step": 3339 + }, + { + "epoch": 0.7, + "learning_rate": 2.5148923876250488e-06, + "loss": 2.6363, + "step": 3340 + }, + { + "epoch": 0.7, + "learning_rate": 2.5116986860297644e-06, + "loss": 2.6612, + "step": 3341 + }, + { + "epoch": 0.7, + "learning_rate": 2.508506333265077e-06, + "loss": 2.6565, + "step": 3342 + }, + { + "epoch": 0.7, + "learning_rate": 2.5053153310614618e-06, + "loss": 2.7092, + "step": 3343 + }, + { + "epoch": 0.7, + "learning_rate": 2.5021256811486615e-06, + "loss": 2.6535, + "step": 3344 + }, + { + "epoch": 0.7, + "learning_rate": 2.4989373852556882e-06, + "loss": 2.6255, + "step": 3345 + }, + { + "epoch": 0.7, + "learning_rate": 2.4957504451108123e-06, + "loss": 2.646, + "step": 3346 + }, + { + "epoch": 0.7, + "learning_rate": 2.492564862441578e-06, + "loss": 2.6091, + "step": 3347 + }, + { + "epoch": 0.7, + "learning_rate": 2.489380638974792e-06, + "loss": 2.6949, + "step": 3348 + }, + { + "epoch": 0.7, + "learning_rate": 2.4861977764365193e-06, + "loss": 2.6436, + "step": 3349 + }, + { + "epoch": 0.7, + "learning_rate": 2.483016276552093e-06, + "loss": 2.6458, + "step": 3350 + }, + { + "epoch": 0.7, + "learning_rate": 2.4798361410461032e-06, + "loss": 2.5949, + "step": 3351 + }, + { + "epoch": 0.7, + "learning_rate": 2.476657371642402e-06, + "loss": 2.6374, + "step": 3352 + }, + { + "epoch": 0.7, + "learning_rate": 2.4734799700641044e-06, + "loss": 2.6388, + "step": 3353 + }, + { + "epoch": 0.7, + "learning_rate": 2.4703039380335764e-06, + "loss": 2.6556, + "step": 3354 + }, + { + "epoch": 0.7, + "learning_rate": 2.467129277272449e-06, + "loss": 2.678, + "step": 3355 + }, + { + "epoch": 0.7, + "learning_rate": 2.463955989501607e-06, + "loss": 2.6213, + "step": 3356 + }, + { + "epoch": 0.7, + "learning_rate": 2.460784076441188e-06, + "loss": 2.6325, + "step": 3357 + }, + { + "epoch": 0.7, + "learning_rate": 2.45761353981059e-06, + "loss": 2.697, + "step": 3358 + }, + { + "epoch": 0.7, + "learning_rate": 2.4544443813284626e-06, + "loss": 2.6433, + "step": 3359 + }, + { + "epoch": 0.7, + "learning_rate": 2.4512766027127043e-06, + "loss": 2.6948, + "step": 3360 + }, + { + "epoch": 0.71, + "learning_rate": 2.448110205680472e-06, + "loss": 2.6405, + "step": 3361 + }, + { + "epoch": 0.71, + "learning_rate": 2.444945191948171e-06, + "loss": 2.6321, + "step": 3362 + }, + { + "epoch": 0.71, + "learning_rate": 2.4417815632314545e-06, + "loss": 2.617, + "step": 3363 + }, + { + "epoch": 0.71, + "learning_rate": 2.4386193212452282e-06, + "loss": 2.7497, + "step": 3364 + }, + { + "epoch": 0.71, + "learning_rate": 2.4354584677036447e-06, + "loss": 2.6276, + "step": 3365 + }, + { + "epoch": 0.71, + "learning_rate": 2.432299004320105e-06, + "loss": 2.6757, + "step": 3366 + }, + { + "epoch": 0.71, + "learning_rate": 2.4291409328072567e-06, + "loss": 2.6937, + "step": 3367 + }, + { + "epoch": 0.71, + "learning_rate": 2.425984254876989e-06, + "loss": 2.6213, + "step": 3368 + }, + { + "epoch": 0.71, + "learning_rate": 2.42282897224044e-06, + "loss": 2.6516, + "step": 3369 + }, + { + "epoch": 0.71, + "learning_rate": 2.4196750866079926e-06, + "loss": 2.6153, + "step": 3370 + }, + { + "epoch": 0.71, + "learning_rate": 2.416522599689265e-06, + "loss": 2.5948, + "step": 3371 + }, + { + "epoch": 0.71, + "learning_rate": 2.413371513193125e-06, + "loss": 2.6158, + "step": 3372 + }, + { + "epoch": 0.71, + "learning_rate": 2.41022182882768e-06, + "loss": 2.6297, + "step": 3373 + }, + { + "epoch": 0.71, + "learning_rate": 2.4070735483002715e-06, + "loss": 2.6733, + "step": 3374 + }, + { + "epoch": 0.71, + "learning_rate": 2.403926673317487e-06, + "loss": 2.6192, + "step": 3375 + }, + { + "epoch": 0.71, + "learning_rate": 2.4007812055851505e-06, + "loss": 2.7399, + "step": 3376 + }, + { + "epoch": 0.71, + "learning_rate": 2.397637146808319e-06, + "loss": 2.6543, + "step": 3377 + }, + { + "epoch": 0.71, + "learning_rate": 2.39449449869129e-06, + "loss": 2.6259, + "step": 3378 + }, + { + "epoch": 0.71, + "learning_rate": 2.391353262937597e-06, + "loss": 2.6749, + "step": 3379 + }, + { + "epoch": 0.71, + "learning_rate": 2.3882134412500024e-06, + "loss": 2.6198, + "step": 3380 + }, + { + "epoch": 0.71, + "learning_rate": 2.3850750353305076e-06, + "loss": 2.6897, + "step": 3381 + }, + { + "epoch": 0.71, + "learning_rate": 2.3819380468803465e-06, + "loss": 2.726, + "step": 3382 + }, + { + "epoch": 0.71, + "learning_rate": 2.3788024775999797e-06, + "loss": 2.6685, + "step": 3383 + }, + { + "epoch": 0.71, + "learning_rate": 2.3756683291891024e-06, + "loss": 2.6826, + "step": 3384 + }, + { + "epoch": 0.71, + "learning_rate": 2.3725356033466413e-06, + "loss": 2.6532, + "step": 3385 + }, + { + "epoch": 0.71, + "learning_rate": 2.3694043017707453e-06, + "loss": 2.6585, + "step": 3386 + }, + { + "epoch": 0.71, + "learning_rate": 2.3662744261587974e-06, + "loss": 2.7155, + "step": 3387 + }, + { + "epoch": 0.71, + "learning_rate": 2.363145978207408e-06, + "loss": 2.6602, + "step": 3388 + }, + { + "epoch": 0.71, + "learning_rate": 2.3600189596124062e-06, + "loss": 2.5648, + "step": 3389 + }, + { + "epoch": 0.71, + "learning_rate": 2.356893372068855e-06, + "loss": 2.5983, + "step": 3390 + }, + { + "epoch": 0.71, + "learning_rate": 2.3537692172710364e-06, + "loss": 2.7076, + "step": 3391 + }, + { + "epoch": 0.71, + "learning_rate": 2.3506464969124583e-06, + "loss": 2.5825, + "step": 3392 + }, + { + "epoch": 0.71, + "learning_rate": 2.347525212685852e-06, + "loss": 2.6187, + "step": 3393 + }, + { + "epoch": 0.71, + "learning_rate": 2.344405366283164e-06, + "loss": 2.7154, + "step": 3394 + }, + { + "epoch": 0.71, + "learning_rate": 2.341286959395568e-06, + "loss": 2.6793, + "step": 3395 + }, + { + "epoch": 0.71, + "learning_rate": 2.3381699937134573e-06, + "loss": 2.7009, + "step": 3396 + }, + { + "epoch": 0.71, + "learning_rate": 2.3350544709264377e-06, + "loss": 2.6818, + "step": 3397 + }, + { + "epoch": 0.71, + "learning_rate": 2.331940392723339e-06, + "loss": 2.5899, + "step": 3398 + }, + { + "epoch": 0.71, + "learning_rate": 2.3288277607922083e-06, + "loss": 2.6467, + "step": 3399 + }, + { + "epoch": 0.71, + "learning_rate": 2.3257165768203023e-06, + "loss": 2.6486, + "step": 3400 + }, + { + "epoch": 0.71, + "learning_rate": 2.3226068424940977e-06, + "loss": 2.6688, + "step": 3401 + }, + { + "epoch": 0.71, + "learning_rate": 2.3194985594992886e-06, + "loss": 2.7263, + "step": 3402 + }, + { + "epoch": 0.71, + "learning_rate": 2.3163917295207727e-06, + "loss": 2.6499, + "step": 3403 + }, + { + "epoch": 0.71, + "learning_rate": 2.313286354242669e-06, + "loss": 2.6823, + "step": 3404 + }, + { + "epoch": 0.71, + "learning_rate": 2.310182435348305e-06, + "loss": 2.6996, + "step": 3405 + }, + { + "epoch": 0.71, + "learning_rate": 2.307079974520216e-06, + "loss": 2.6513, + "step": 3406 + }, + { + "epoch": 0.71, + "learning_rate": 2.3039789734401524e-06, + "loss": 2.6777, + "step": 3407 + }, + { + "epoch": 0.71, + "learning_rate": 2.3008794337890668e-06, + "loss": 2.628, + "step": 3408 + }, + { + "epoch": 0.72, + "learning_rate": 2.2977813572471247e-06, + "loss": 2.6652, + "step": 3409 + }, + { + "epoch": 0.72, + "learning_rate": 2.294684745493699e-06, + "loss": 2.6418, + "step": 3410 + }, + { + "epoch": 0.72, + "learning_rate": 2.2915896002073623e-06, + "loss": 2.6945, + "step": 3411 + }, + { + "epoch": 0.72, + "learning_rate": 2.2884959230658982e-06, + "loss": 2.6566, + "step": 3412 + }, + { + "epoch": 0.72, + "learning_rate": 2.2854037157462934e-06, + "loss": 2.6553, + "step": 3413 + }, + { + "epoch": 0.72, + "learning_rate": 2.2823129799247367e-06, + "loss": 2.6584, + "step": 3414 + }, + { + "epoch": 0.72, + "learning_rate": 2.279223717276621e-06, + "loss": 2.6969, + "step": 3415 + }, + { + "epoch": 0.72, + "learning_rate": 2.276135929476537e-06, + "loss": 2.652, + "step": 3416 + }, + { + "epoch": 0.72, + "learning_rate": 2.273049618198278e-06, + "loss": 2.6993, + "step": 3417 + }, + { + "epoch": 0.72, + "learning_rate": 2.2699647851148394e-06, + "loss": 2.6675, + "step": 3418 + }, + { + "epoch": 0.72, + "learning_rate": 2.2668814318984135e-06, + "loss": 2.6863, + "step": 3419 + }, + { + "epoch": 0.72, + "learning_rate": 2.263799560220386e-06, + "loss": 2.6843, + "step": 3420 + }, + { + "epoch": 0.72, + "learning_rate": 2.2607191717513466e-06, + "loss": 2.6775, + "step": 3421 + }, + { + "epoch": 0.72, + "learning_rate": 2.257640268161079e-06, + "loss": 2.6673, + "step": 3422 + }, + { + "epoch": 0.72, + "learning_rate": 2.2545628511185575e-06, + "loss": 2.608, + "step": 3423 + }, + { + "epoch": 0.72, + "learning_rate": 2.251486922291957e-06, + "loss": 2.6463, + "step": 3424 + }, + { + "epoch": 0.72, + "learning_rate": 2.2484124833486405e-06, + "loss": 2.677, + "step": 3425 + }, + { + "epoch": 0.72, + "learning_rate": 2.2453395359551655e-06, + "loss": 2.5861, + "step": 3426 + }, + { + "epoch": 0.72, + "learning_rate": 2.242268081777284e-06, + "loss": 2.689, + "step": 3427 + }, + { + "epoch": 0.72, + "learning_rate": 2.2391981224799313e-06, + "loss": 2.6624, + "step": 3428 + }, + { + "epoch": 0.72, + "learning_rate": 2.236129659727239e-06, + "loss": 2.6186, + "step": 3429 + }, + { + "epoch": 0.72, + "learning_rate": 2.2330626951825273e-06, + "loss": 2.6339, + "step": 3430 + }, + { + "epoch": 0.72, + "learning_rate": 2.2299972305082974e-06, + "loss": 2.6637, + "step": 3431 + }, + { + "epoch": 0.72, + "learning_rate": 2.2269332673662446e-06, + "loss": 2.6399, + "step": 3432 + }, + { + "epoch": 0.72, + "learning_rate": 2.2238708074172494e-06, + "loss": 2.6729, + "step": 3433 + }, + { + "epoch": 0.72, + "learning_rate": 2.220809852321373e-06, + "loss": 2.7001, + "step": 3434 + }, + { + "epoch": 0.72, + "learning_rate": 2.2177504037378643e-06, + "loss": 2.638, + "step": 3435 + }, + { + "epoch": 0.72, + "learning_rate": 2.214692463325158e-06, + "loss": 2.7031, + "step": 3436 + }, + { + "epoch": 0.72, + "learning_rate": 2.211636032740864e-06, + "loss": 2.7039, + "step": 3437 + }, + { + "epoch": 0.72, + "learning_rate": 2.2085811136417807e-06, + "loss": 2.6452, + "step": 3438 + }, + { + "epoch": 0.72, + "learning_rate": 2.205527707683883e-06, + "loss": 2.5616, + "step": 3439 + }, + { + "epoch": 0.72, + "learning_rate": 2.202475816522329e-06, + "loss": 2.6819, + "step": 3440 + }, + { + "epoch": 0.72, + "learning_rate": 2.1994254418114524e-06, + "loss": 2.6206, + "step": 3441 + }, + { + "epoch": 0.72, + "learning_rate": 2.1963765852047684e-06, + "loss": 2.705, + "step": 3442 + }, + { + "epoch": 0.72, + "learning_rate": 2.193329248354964e-06, + "loss": 2.6622, + "step": 3443 + }, + { + "epoch": 0.72, + "learning_rate": 2.190283432913909e-06, + "loss": 2.7014, + "step": 3444 + }, + { + "epoch": 0.72, + "learning_rate": 2.187239140532641e-06, + "loss": 2.5978, + "step": 3445 + }, + { + "epoch": 0.72, + "learning_rate": 2.184196372861378e-06, + "loss": 2.7076, + "step": 3446 + }, + { + "epoch": 0.72, + "learning_rate": 2.1811551315495117e-06, + "loss": 2.634, + "step": 3447 + }, + { + "epoch": 0.72, + "learning_rate": 2.1781154182456e-06, + "loss": 2.644, + "step": 3448 + }, + { + "epoch": 0.72, + "learning_rate": 2.1750772345973792e-06, + "loss": 2.7215, + "step": 3449 + }, + { + "epoch": 0.72, + "learning_rate": 2.1720405822517553e-06, + "loss": 2.6766, + "step": 3450 + }, + { + "epoch": 0.72, + "learning_rate": 2.1690054628548e-06, + "loss": 2.6465, + "step": 3451 + }, + { + "epoch": 0.72, + "learning_rate": 2.165971878051757e-06, + "loss": 2.6375, + "step": 3452 + }, + { + "epoch": 0.72, + "learning_rate": 2.162939829487042e-06, + "loss": 2.5823, + "step": 3453 + }, + { + "epoch": 0.72, + "learning_rate": 2.159909318804229e-06, + "loss": 2.6816, + "step": 3454 + }, + { + "epoch": 0.72, + "learning_rate": 2.1568803476460663e-06, + "loss": 2.646, + "step": 3455 + }, + { + "epoch": 0.72, + "learning_rate": 2.153852917654466e-06, + "loss": 2.6226, + "step": 3456 + }, + { + "epoch": 0.73, + "learning_rate": 2.1508270304705e-06, + "loss": 2.6239, + "step": 3457 + }, + { + "epoch": 0.73, + "learning_rate": 2.147802687734409e-06, + "loss": 2.6156, + "step": 3458 + }, + { + "epoch": 0.73, + "learning_rate": 2.1447798910855967e-06, + "loss": 2.6762, + "step": 3459 + }, + { + "epoch": 0.73, + "learning_rate": 2.141758642162624e-06, + "loss": 2.6727, + "step": 3460 + }, + { + "epoch": 0.73, + "learning_rate": 2.1387389426032166e-06, + "loss": 2.6309, + "step": 3461 + }, + { + "epoch": 0.73, + "learning_rate": 2.135720794044261e-06, + "loss": 2.6472, + "step": 3462 + }, + { + "epoch": 0.73, + "learning_rate": 2.132704198121802e-06, + "loss": 2.6596, + "step": 3463 + }, + { + "epoch": 0.73, + "learning_rate": 2.1296891564710394e-06, + "loss": 2.608, + "step": 3464 + }, + { + "epoch": 0.73, + "learning_rate": 2.126675670726334e-06, + "loss": 2.6529, + "step": 3465 + }, + { + "epoch": 0.73, + "learning_rate": 2.1236637425212036e-06, + "loss": 2.6605, + "step": 3466 + }, + { + "epoch": 0.73, + "learning_rate": 2.120653373488322e-06, + "loss": 2.5814, + "step": 3467 + }, + { + "epoch": 0.73, + "learning_rate": 2.1176445652595136e-06, + "loss": 2.6051, + "step": 3468 + }, + { + "epoch": 0.73, + "learning_rate": 2.1146373194657597e-06, + "loss": 2.6105, + "step": 3469 + }, + { + "epoch": 0.73, + "learning_rate": 2.1116316377371983e-06, + "loss": 2.6385, + "step": 3470 + }, + { + "epoch": 0.73, + "learning_rate": 2.1086275217031104e-06, + "loss": 2.599, + "step": 3471 + }, + { + "epoch": 0.73, + "learning_rate": 2.1056249729919363e-06, + "loss": 2.6093, + "step": 3472 + }, + { + "epoch": 0.73, + "learning_rate": 2.1026239932312664e-06, + "loss": 2.6781, + "step": 3473 + }, + { + "epoch": 0.73, + "learning_rate": 2.099624584047834e-06, + "loss": 2.5979, + "step": 3474 + }, + { + "epoch": 0.73, + "learning_rate": 2.0966267470675273e-06, + "loss": 2.7162, + "step": 3475 + }, + { + "epoch": 0.73, + "learning_rate": 2.093630483915382e-06, + "loss": 2.6451, + "step": 3476 + }, + { + "epoch": 0.73, + "learning_rate": 2.090635796215576e-06, + "loss": 2.6497, + "step": 3477 + }, + { + "epoch": 0.73, + "learning_rate": 2.0876426855914372e-06, + "loss": 2.6684, + "step": 3478 + }, + { + "epoch": 0.73, + "learning_rate": 2.0846511536654395e-06, + "loss": 2.6506, + "step": 3479 + }, + { + "epoch": 0.73, + "learning_rate": 2.0816612020591957e-06, + "loss": 2.5886, + "step": 3480 + }, + { + "epoch": 0.73, + "learning_rate": 2.078672832393469e-06, + "loss": 2.6391, + "step": 3481 + }, + { + "epoch": 0.73, + "learning_rate": 2.0756860462881584e-06, + "loss": 2.6647, + "step": 3482 + }, + { + "epoch": 0.73, + "learning_rate": 2.0727008453623083e-06, + "loss": 2.6163, + "step": 3483 + }, + { + "epoch": 0.73, + "learning_rate": 2.0697172312341057e-06, + "loss": 2.6709, + "step": 3484 + }, + { + "epoch": 0.73, + "learning_rate": 2.0667352055208712e-06, + "loss": 2.6637, + "step": 3485 + }, + { + "epoch": 0.73, + "learning_rate": 2.0637547698390693e-06, + "loss": 2.7299, + "step": 3486 + }, + { + "epoch": 0.73, + "learning_rate": 2.0607759258043015e-06, + "loss": 2.7425, + "step": 3487 + }, + { + "epoch": 0.73, + "learning_rate": 2.0577986750313063e-06, + "loss": 2.6344, + "step": 3488 + }, + { + "epoch": 0.73, + "learning_rate": 2.0548230191339586e-06, + "loss": 2.6592, + "step": 3489 + }, + { + "epoch": 0.73, + "learning_rate": 2.051848959725271e-06, + "loss": 2.6275, + "step": 3490 + }, + { + "epoch": 0.73, + "learning_rate": 2.048876498417384e-06, + "loss": 2.6389, + "step": 3491 + }, + { + "epoch": 0.73, + "learning_rate": 2.0459056368215786e-06, + "loss": 2.6054, + "step": 3492 + }, + { + "epoch": 0.73, + "learning_rate": 2.042936376548268e-06, + "loss": 2.6942, + "step": 3493 + }, + { + "epoch": 0.73, + "learning_rate": 2.0399687192069916e-06, + "loss": 2.6033, + "step": 3494 + }, + { + "epoch": 0.73, + "learning_rate": 2.037002666406427e-06, + "loss": 2.6206, + "step": 3495 + }, + { + "epoch": 0.73, + "learning_rate": 2.034038219754379e-06, + "loss": 2.6497, + "step": 3496 + }, + { + "epoch": 0.73, + "learning_rate": 2.03107538085778e-06, + "loss": 2.6147, + "step": 3497 + }, + { + "epoch": 0.73, + "learning_rate": 2.0281141513226928e-06, + "loss": 2.67, + "step": 3498 + }, + { + "epoch": 0.73, + "learning_rate": 2.0251545327543103e-06, + "loss": 2.583, + "step": 3499 + }, + { + "epoch": 0.73, + "learning_rate": 2.022196526756946e-06, + "loss": 2.5972, + "step": 3500 + }, + { + "epoch": 0.73, + "learning_rate": 2.019240134934046e-06, + "loss": 2.6103, + "step": 3501 + }, + { + "epoch": 0.73, + "learning_rate": 2.0162853588881747e-06, + "loss": 2.6865, + "step": 3502 + }, + { + "epoch": 0.73, + "learning_rate": 2.013332200221026e-06, + "loss": 2.6527, + "step": 3503 + }, + { + "epoch": 0.74, + "learning_rate": 2.0103806605334164e-06, + "loss": 2.6688, + "step": 3504 + }, + { + "epoch": 0.74, + "learning_rate": 2.0074307414252813e-06, + "loss": 2.6101, + "step": 3505 + }, + { + "epoch": 0.74, + "learning_rate": 2.00448244449568e-06, + "loss": 2.6441, + "step": 3506 + }, + { + "epoch": 0.74, + "learning_rate": 2.0015357713427956e-06, + "loss": 2.6877, + "step": 3507 + }, + { + "epoch": 0.74, + "learning_rate": 1.998590723563924e-06, + "loss": 2.6248, + "step": 3508 + }, + { + "epoch": 0.74, + "learning_rate": 1.9956473027554846e-06, + "loss": 2.6189, + "step": 3509 + }, + { + "epoch": 0.74, + "learning_rate": 1.9927055105130155e-06, + "loss": 2.7095, + "step": 3510 + }, + { + "epoch": 0.74, + "learning_rate": 1.989765348431171e-06, + "loss": 2.6014, + "step": 3511 + }, + { + "epoch": 0.74, + "learning_rate": 1.9868268181037186e-06, + "loss": 2.5836, + "step": 3512 + }, + { + "epoch": 0.74, + "learning_rate": 1.9838899211235456e-06, + "loss": 2.6471, + "step": 3513 + }, + { + "epoch": 0.74, + "learning_rate": 1.9809546590826528e-06, + "loss": 2.6729, + "step": 3514 + }, + { + "epoch": 0.74, + "learning_rate": 1.9780210335721533e-06, + "loss": 2.6876, + "step": 3515 + }, + { + "epoch": 0.74, + "learning_rate": 1.975089046182277e-06, + "loss": 2.6129, + "step": 3516 + }, + { + "epoch": 0.74, + "learning_rate": 1.972158698502358e-06, + "loss": 2.6423, + "step": 3517 + }, + { + "epoch": 0.74, + "learning_rate": 1.9692299921208514e-06, + "loss": 2.677, + "step": 3518 + }, + { + "epoch": 0.74, + "learning_rate": 1.9663029286253125e-06, + "loss": 2.6435, + "step": 3519 + }, + { + "epoch": 0.74, + "learning_rate": 1.963377509602415e-06, + "loss": 2.608, + "step": 3520 + }, + { + "epoch": 0.74, + "learning_rate": 1.9604537366379374e-06, + "loss": 2.7004, + "step": 3521 + }, + { + "epoch": 0.74, + "learning_rate": 1.957531611316763e-06, + "loss": 2.6802, + "step": 3522 + }, + { + "epoch": 0.74, + "learning_rate": 1.954611135222887e-06, + "loss": 2.6623, + "step": 3523 + }, + { + "epoch": 0.74, + "learning_rate": 1.9516923099394098e-06, + "loss": 2.6511, + "step": 3524 + }, + { + "epoch": 0.74, + "learning_rate": 1.948775137048532e-06, + "loss": 2.6506, + "step": 3525 + }, + { + "epoch": 0.74, + "learning_rate": 1.9458596181315643e-06, + "loss": 2.6643, + "step": 3526 + }, + { + "epoch": 0.74, + "learning_rate": 1.9429457547689202e-06, + "loss": 2.5896, + "step": 3527 + }, + { + "epoch": 0.74, + "learning_rate": 1.9400335485401108e-06, + "loss": 2.6084, + "step": 3528 + }, + { + "epoch": 0.74, + "learning_rate": 1.9371230010237533e-06, + "loss": 2.6805, + "step": 3529 + }, + { + "epoch": 0.74, + "learning_rate": 1.934214113797568e-06, + "loss": 2.5856, + "step": 3530 + }, + { + "epoch": 0.74, + "learning_rate": 1.9313068884383675e-06, + "loss": 2.6195, + "step": 3531 + }, + { + "epoch": 0.74, + "learning_rate": 1.9284013265220704e-06, + "loss": 2.6662, + "step": 3532 + }, + { + "epoch": 0.74, + "learning_rate": 1.9254974296236923e-06, + "loss": 2.6359, + "step": 3533 + }, + { + "epoch": 0.74, + "learning_rate": 1.922595199317342e-06, + "loss": 2.6846, + "step": 3534 + }, + { + "epoch": 0.74, + "learning_rate": 1.9196946371762302e-06, + "loss": 2.6942, + "step": 3535 + }, + { + "epoch": 0.74, + "learning_rate": 1.916795744772661e-06, + "loss": 2.6985, + "step": 3536 + }, + { + "epoch": 0.74, + "learning_rate": 1.913898523678034e-06, + "loss": 2.6153, + "step": 3537 + }, + { + "epoch": 0.74, + "learning_rate": 1.911002975462843e-06, + "loss": 2.6085, + "step": 3538 + }, + { + "epoch": 0.74, + "learning_rate": 1.9081091016966726e-06, + "loss": 2.6645, + "step": 3539 + }, + { + "epoch": 0.74, + "learning_rate": 1.9052169039482021e-06, + "loss": 2.6544, + "step": 3540 + }, + { + "epoch": 0.74, + "learning_rate": 1.902326383785204e-06, + "loss": 2.6124, + "step": 3541 + }, + { + "epoch": 0.74, + "learning_rate": 1.8994375427745354e-06, + "loss": 2.6142, + "step": 3542 + }, + { + "epoch": 0.74, + "learning_rate": 1.8965503824821496e-06, + "loss": 2.7093, + "step": 3543 + }, + { + "epoch": 0.74, + "learning_rate": 1.893664904473087e-06, + "loss": 2.5922, + "step": 3544 + }, + { + "epoch": 0.74, + "learning_rate": 1.890781110311472e-06, + "loss": 2.6567, + "step": 3545 + }, + { + "epoch": 0.74, + "learning_rate": 1.887899001560522e-06, + "loss": 2.5766, + "step": 3546 + }, + { + "epoch": 0.74, + "learning_rate": 1.8850185797825387e-06, + "loss": 2.6745, + "step": 3547 + }, + { + "epoch": 0.74, + "learning_rate": 1.8821398465389074e-06, + "loss": 2.6071, + "step": 3548 + }, + { + "epoch": 0.74, + "learning_rate": 1.8792628033900996e-06, + "loss": 2.6608, + "step": 3549 + }, + { + "epoch": 0.74, + "learning_rate": 1.8763874518956732e-06, + "loss": 2.6754, + "step": 3550 + }, + { + "epoch": 0.74, + "learning_rate": 1.8735137936142633e-06, + "loss": 2.6622, + "step": 3551 + }, + { + "epoch": 0.75, + "learning_rate": 1.8706418301035922e-06, + "loss": 2.5588, + "step": 3552 + }, + { + "epoch": 0.75, + "learning_rate": 1.8677715629204634e-06, + "loss": 2.712, + "step": 3553 + }, + { + "epoch": 0.75, + "learning_rate": 1.8649029936207562e-06, + "loss": 2.5905, + "step": 3554 + }, + { + "epoch": 0.75, + "learning_rate": 1.8620361237594353e-06, + "loss": 2.6531, + "step": 3555 + }, + { + "epoch": 0.75, + "learning_rate": 1.859170954890539e-06, + "loss": 2.6179, + "step": 3556 + }, + { + "epoch": 0.75, + "learning_rate": 1.8563074885671872e-06, + "loss": 2.6481, + "step": 3557 + }, + { + "epoch": 0.75, + "learning_rate": 1.8534457263415755e-06, + "loss": 2.6328, + "step": 3558 + }, + { + "epoch": 0.75, + "learning_rate": 1.8505856697649782e-06, + "loss": 2.6305, + "step": 3559 + }, + { + "epoch": 0.75, + "learning_rate": 1.84772732038774e-06, + "loss": 2.6124, + "step": 3560 + }, + { + "epoch": 0.75, + "learning_rate": 1.844870679759283e-06, + "loss": 2.7188, + "step": 3561 + }, + { + "epoch": 0.75, + "learning_rate": 1.8420157494281048e-06, + "loss": 2.6347, + "step": 3562 + }, + { + "epoch": 0.75, + "learning_rate": 1.8391625309417733e-06, + "loss": 2.5938, + "step": 3563 + }, + { + "epoch": 0.75, + "learning_rate": 1.8363110258469313e-06, + "loss": 2.6279, + "step": 3564 + }, + { + "epoch": 0.75, + "learning_rate": 1.8334612356892872e-06, + "loss": 2.6082, + "step": 3565 + }, + { + "epoch": 0.75, + "learning_rate": 1.8306131620136254e-06, + "loss": 2.6212, + "step": 3566 + }, + { + "epoch": 0.75, + "learning_rate": 1.8277668063637993e-06, + "loss": 2.6493, + "step": 3567 + }, + { + "epoch": 0.75, + "learning_rate": 1.8249221702827263e-06, + "loss": 2.6484, + "step": 3568 + }, + { + "epoch": 0.75, + "learning_rate": 1.8220792553123967e-06, + "loss": 2.6328, + "step": 3569 + }, + { + "epoch": 0.75, + "learning_rate": 1.8192380629938683e-06, + "loss": 2.6656, + "step": 3570 + }, + { + "epoch": 0.75, + "learning_rate": 1.8163985948672585e-06, + "loss": 2.6258, + "step": 3571 + }, + { + "epoch": 0.75, + "learning_rate": 1.8135608524717569e-06, + "loss": 2.6008, + "step": 3572 + }, + { + "epoch": 0.75, + "learning_rate": 1.8107248373456166e-06, + "loss": 2.6724, + "step": 3573 + }, + { + "epoch": 0.75, + "learning_rate": 1.8078905510261502e-06, + "loss": 2.613, + "step": 3574 + }, + { + "epoch": 0.75, + "learning_rate": 1.8050579950497383e-06, + "loss": 2.5896, + "step": 3575 + }, + { + "epoch": 0.75, + "learning_rate": 1.8022271709518191e-06, + "loss": 2.6528, + "step": 3576 + }, + { + "epoch": 0.75, + "learning_rate": 1.7993980802668947e-06, + "loss": 2.6364, + "step": 3577 + }, + { + "epoch": 0.75, + "learning_rate": 1.7965707245285297e-06, + "loss": 2.6629, + "step": 3578 + }, + { + "epoch": 0.75, + "learning_rate": 1.7937451052693411e-06, + "loss": 2.5258, + "step": 3579 + }, + { + "epoch": 0.75, + "learning_rate": 1.790921224021011e-06, + "loss": 2.6257, + "step": 3580 + }, + { + "epoch": 0.75, + "learning_rate": 1.7880990823142803e-06, + "loss": 2.6245, + "step": 3581 + }, + { + "epoch": 0.75, + "learning_rate": 1.7852786816789392e-06, + "loss": 2.6424, + "step": 3582 + }, + { + "epoch": 0.75, + "learning_rate": 1.782460023643841e-06, + "loss": 2.6385, + "step": 3583 + }, + { + "epoch": 0.75, + "learning_rate": 1.7796431097368933e-06, + "loss": 2.5901, + "step": 3584 + }, + { + "epoch": 0.75, + "learning_rate": 1.7768279414850565e-06, + "loss": 2.7313, + "step": 3585 + }, + { + "epoch": 0.75, + "learning_rate": 1.7740145204143472e-06, + "loss": 2.6225, + "step": 3586 + }, + { + "epoch": 0.75, + "learning_rate": 1.77120284804983e-06, + "loss": 2.609, + "step": 3587 + }, + { + "epoch": 0.75, + "learning_rate": 1.7683929259156269e-06, + "loss": 2.5658, + "step": 3588 + }, + { + "epoch": 0.75, + "learning_rate": 1.7655847555349087e-06, + "loss": 2.6332, + "step": 3589 + }, + { + "epoch": 0.75, + "learning_rate": 1.7627783384298996e-06, + "loss": 2.6455, + "step": 3590 + }, + { + "epoch": 0.75, + "learning_rate": 1.7599736761218661e-06, + "loss": 2.6532, + "step": 3591 + }, + { + "epoch": 0.75, + "learning_rate": 1.7571707701311308e-06, + "loss": 2.6609, + "step": 3592 + }, + { + "epoch": 0.75, + "learning_rate": 1.7543696219770634e-06, + "loss": 2.6611, + "step": 3593 + }, + { + "epoch": 0.75, + "learning_rate": 1.7515702331780753e-06, + "loss": 2.6353, + "step": 3594 + }, + { + "epoch": 0.75, + "learning_rate": 1.7487726052516318e-06, + "loss": 2.6062, + "step": 3595 + }, + { + "epoch": 0.75, + "learning_rate": 1.7459767397142359e-06, + "loss": 2.615, + "step": 3596 + }, + { + "epoch": 0.75, + "learning_rate": 1.743182638081441e-06, + "loss": 2.697, + "step": 3597 + }, + { + "epoch": 0.75, + "learning_rate": 1.7403903018678447e-06, + "loss": 2.669, + "step": 3598 + }, + { + "epoch": 0.75, + "learning_rate": 1.7375997325870813e-06, + "loss": 2.7607, + "step": 3599 + }, + { + "epoch": 0.76, + "learning_rate": 1.7348109317518335e-06, + "loss": 2.7445, + "step": 3600 + }, + { + "epoch": 0.76, + "learning_rate": 1.7320239008738248e-06, + "loss": 2.6954, + "step": 3601 + }, + { + "epoch": 0.76, + "learning_rate": 1.7292386414638147e-06, + "loss": 2.6019, + "step": 3602 + }, + { + "epoch": 0.76, + "learning_rate": 1.7264551550316072e-06, + "loss": 2.6176, + "step": 3603 + }, + { + "epoch": 0.76, + "learning_rate": 1.7236734430860452e-06, + "loss": 2.6843, + "step": 3604 + }, + { + "epoch": 0.76, + "learning_rate": 1.7208935071350047e-06, + "loss": 2.6367, + "step": 3605 + }, + { + "epoch": 0.76, + "learning_rate": 1.7181153486854035e-06, + "loss": 2.5948, + "step": 3606 + }, + { + "epoch": 0.76, + "learning_rate": 1.7153389692431977e-06, + "loss": 2.6563, + "step": 3607 + }, + { + "epoch": 0.76, + "learning_rate": 1.712564370313371e-06, + "loss": 2.6637, + "step": 3608 + }, + { + "epoch": 0.76, + "learning_rate": 1.7097915533999498e-06, + "loss": 2.6502, + "step": 3609 + }, + { + "epoch": 0.76, + "learning_rate": 1.707020520005992e-06, + "loss": 2.6314, + "step": 3610 + }, + { + "epoch": 0.76, + "learning_rate": 1.7042512716335873e-06, + "loss": 2.6642, + "step": 3611 + }, + { + "epoch": 0.76, + "learning_rate": 1.7014838097838616e-06, + "loss": 2.6708, + "step": 3612 + }, + { + "epoch": 0.76, + "learning_rate": 1.698718135956966e-06, + "loss": 2.6321, + "step": 3613 + }, + { + "epoch": 0.76, + "learning_rate": 1.6959542516520878e-06, + "loss": 2.6801, + "step": 3614 + }, + { + "epoch": 0.76, + "learning_rate": 1.6931921583674442e-06, + "loss": 2.6916, + "step": 3615 + }, + { + "epoch": 0.76, + "learning_rate": 1.6904318576002766e-06, + "loss": 2.7053, + "step": 3616 + }, + { + "epoch": 0.76, + "learning_rate": 1.6876733508468596e-06, + "loss": 2.6202, + "step": 3617 + }, + { + "epoch": 0.76, + "learning_rate": 1.6849166396024957e-06, + "loss": 2.6825, + "step": 3618 + }, + { + "epoch": 0.76, + "learning_rate": 1.6821617253615085e-06, + "loss": 2.6674, + "step": 3619 + }, + { + "epoch": 0.76, + "learning_rate": 1.679408609617253e-06, + "loss": 2.6349, + "step": 3620 + }, + { + "epoch": 0.76, + "learning_rate": 1.6766572938621084e-06, + "loss": 2.5911, + "step": 3621 + }, + { + "epoch": 0.76, + "learning_rate": 1.6739077795874753e-06, + "loss": 2.6582, + "step": 3622 + }, + { + "epoch": 0.76, + "learning_rate": 1.6711600682837804e-06, + "loss": 2.6284, + "step": 3623 + }, + { + "epoch": 0.76, + "learning_rate": 1.6684141614404743e-06, + "loss": 2.6347, + "step": 3624 + }, + { + "epoch": 0.76, + "learning_rate": 1.6656700605460241e-06, + "loss": 2.5685, + "step": 3625 + }, + { + "epoch": 0.76, + "learning_rate": 1.662927767087923e-06, + "loss": 2.6138, + "step": 3626 + }, + { + "epoch": 0.76, + "learning_rate": 1.6601872825526844e-06, + "loss": 2.6048, + "step": 3627 + }, + { + "epoch": 0.76, + "learning_rate": 1.6574486084258369e-06, + "loss": 2.5482, + "step": 3628 + }, + { + "epoch": 0.76, + "learning_rate": 1.654711746191931e-06, + "loss": 2.6903, + "step": 3629 + }, + { + "epoch": 0.76, + "learning_rate": 1.651976697334537e-06, + "loss": 2.7237, + "step": 3630 + }, + { + "epoch": 0.76, + "learning_rate": 1.6492434633362353e-06, + "loss": 2.6154, + "step": 3631 + }, + { + "epoch": 0.76, + "learning_rate": 1.6465120456786299e-06, + "loss": 2.6503, + "step": 3632 + }, + { + "epoch": 0.76, + "learning_rate": 1.6437824458423364e-06, + "loss": 2.5702, + "step": 3633 + }, + { + "epoch": 0.76, + "learning_rate": 1.6410546653069876e-06, + "loss": 2.668, + "step": 3634 + }, + { + "epoch": 0.76, + "learning_rate": 1.6383287055512248e-06, + "loss": 2.6632, + "step": 3635 + }, + { + "epoch": 0.76, + "learning_rate": 1.6356045680527078e-06, + "loss": 2.6327, + "step": 3636 + }, + { + "epoch": 0.76, + "learning_rate": 1.6328822542881063e-06, + "loss": 2.6444, + "step": 3637 + }, + { + "epoch": 0.76, + "learning_rate": 1.6301617657331036e-06, + "loss": 2.6169, + "step": 3638 + }, + { + "epoch": 0.76, + "learning_rate": 1.6274431038623889e-06, + "loss": 2.7123, + "step": 3639 + }, + { + "epoch": 0.76, + "learning_rate": 1.6247262701496647e-06, + "loss": 2.6729, + "step": 3640 + }, + { + "epoch": 0.76, + "learning_rate": 1.6220112660676446e-06, + "loss": 2.6921, + "step": 3641 + }, + { + "epoch": 0.76, + "learning_rate": 1.6192980930880436e-06, + "loss": 2.6717, + "step": 3642 + }, + { + "epoch": 0.76, + "learning_rate": 1.6165867526815904e-06, + "loss": 2.6762, + "step": 3643 + }, + { + "epoch": 0.76, + "learning_rate": 1.6138772463180197e-06, + "loss": 2.6258, + "step": 3644 + }, + { + "epoch": 0.76, + "learning_rate": 1.6111695754660667e-06, + "loss": 2.6422, + "step": 3645 + }, + { + "epoch": 0.76, + "learning_rate": 1.6084637415934772e-06, + "loss": 2.6206, + "step": 3646 + }, + { + "epoch": 0.77, + "learning_rate": 1.6057597461670021e-06, + "loss": 2.6465, + "step": 3647 + }, + { + "epoch": 0.77, + "learning_rate": 1.6030575906523882e-06, + "loss": 2.634, + "step": 3648 + }, + { + "epoch": 0.77, + "learning_rate": 1.6003572765143938e-06, + "loss": 2.6626, + "step": 3649 + }, + { + "epoch": 0.77, + "learning_rate": 1.5976588052167724e-06, + "loss": 2.6713, + "step": 3650 + }, + { + "epoch": 0.77, + "learning_rate": 1.5949621782222818e-06, + "loss": 2.6567, + "step": 3651 + }, + { + "epoch": 0.77, + "learning_rate": 1.592267396992681e-06, + "loss": 2.6939, + "step": 3652 + }, + { + "epoch": 0.77, + "learning_rate": 1.589574462988725e-06, + "loss": 2.6471, + "step": 3653 + }, + { + "epoch": 0.77, + "learning_rate": 1.5868833776701697e-06, + "loss": 2.6824, + "step": 3654 + }, + { + "epoch": 0.77, + "learning_rate": 1.5841941424957707e-06, + "loss": 2.6933, + "step": 3655 + }, + { + "epoch": 0.77, + "learning_rate": 1.5815067589232752e-06, + "loss": 2.7013, + "step": 3656 + }, + { + "epoch": 0.77, + "learning_rate": 1.5788212284094318e-06, + "loss": 2.6304, + "step": 3657 + }, + { + "epoch": 0.77, + "learning_rate": 1.576137552409983e-06, + "loss": 2.6306, + "step": 3658 + }, + { + "epoch": 0.77, + "learning_rate": 1.5734557323796662e-06, + "loss": 2.6083, + "step": 3659 + }, + { + "epoch": 0.77, + "learning_rate": 1.570775769772212e-06, + "loss": 2.6218, + "step": 3660 + }, + { + "epoch": 0.77, + "learning_rate": 1.5680976660403457e-06, + "loss": 2.6054, + "step": 3661 + }, + { + "epoch": 0.77, + "learning_rate": 1.5654214226357822e-06, + "loss": 2.6408, + "step": 3662 + }, + { + "epoch": 0.77, + "learning_rate": 1.5627470410092299e-06, + "loss": 2.5708, + "step": 3663 + }, + { + "epoch": 0.77, + "learning_rate": 1.5600745226103897e-06, + "loss": 2.6608, + "step": 3664 + }, + { + "epoch": 0.77, + "learning_rate": 1.5574038688879474e-06, + "loss": 2.6498, + "step": 3665 + }, + { + "epoch": 0.77, + "learning_rate": 1.5547350812895828e-06, + "loss": 2.5546, + "step": 3666 + }, + { + "epoch": 0.77, + "learning_rate": 1.5520681612619642e-06, + "loss": 2.6358, + "step": 3667 + }, + { + "epoch": 0.77, + "learning_rate": 1.5494031102507423e-06, + "loss": 2.7091, + "step": 3668 + }, + { + "epoch": 0.77, + "learning_rate": 1.546739929700562e-06, + "loss": 2.6239, + "step": 3669 + }, + { + "epoch": 0.77, + "learning_rate": 1.5440786210550462e-06, + "loss": 2.6243, + "step": 3670 + }, + { + "epoch": 0.77, + "learning_rate": 1.54141918575681e-06, + "loss": 2.6059, + "step": 3671 + }, + { + "epoch": 0.77, + "learning_rate": 1.5387616252474518e-06, + "loss": 2.6445, + "step": 3672 + }, + { + "epoch": 0.77, + "learning_rate": 1.5361059409675487e-06, + "loss": 2.5956, + "step": 3673 + }, + { + "epoch": 0.77, + "learning_rate": 1.5334521343566665e-06, + "loss": 2.6545, + "step": 3674 + }, + { + "epoch": 0.77, + "learning_rate": 1.5308002068533524e-06, + "loss": 2.7324, + "step": 3675 + }, + { + "epoch": 0.77, + "learning_rate": 1.5281501598951304e-06, + "loss": 2.5989, + "step": 3676 + }, + { + "epoch": 0.77, + "learning_rate": 1.5255019949185101e-06, + "loss": 2.6392, + "step": 3677 + }, + { + "epoch": 0.77, + "learning_rate": 1.522855713358981e-06, + "loss": 2.6765, + "step": 3678 + }, + { + "epoch": 0.77, + "learning_rate": 1.5202113166510058e-06, + "loss": 2.5957, + "step": 3679 + }, + { + "epoch": 0.77, + "learning_rate": 1.5175688062280325e-06, + "loss": 2.67, + "step": 3680 + }, + { + "epoch": 0.77, + "learning_rate": 1.5149281835224823e-06, + "loss": 2.72, + "step": 3681 + }, + { + "epoch": 0.77, + "learning_rate": 1.512289449965757e-06, + "loss": 2.6175, + "step": 3682 + }, + { + "epoch": 0.77, + "learning_rate": 1.5096526069882284e-06, + "loss": 2.707, + "step": 3683 + }, + { + "epoch": 0.77, + "learning_rate": 1.5070176560192478e-06, + "loss": 2.6159, + "step": 3684 + }, + { + "epoch": 0.77, + "learning_rate": 1.5043845984871413e-06, + "loss": 2.6281, + "step": 3685 + }, + { + "epoch": 0.77, + "learning_rate": 1.5017534358192066e-06, + "loss": 2.6792, + "step": 3686 + }, + { + "epoch": 0.77, + "learning_rate": 1.4991241694417163e-06, + "loss": 2.7462, + "step": 3687 + }, + { + "epoch": 0.77, + "learning_rate": 1.4964968007799113e-06, + "loss": 2.6426, + "step": 3688 + }, + { + "epoch": 0.77, + "learning_rate": 1.4938713312580089e-06, + "loss": 2.6421, + "step": 3689 + }, + { + "epoch": 0.77, + "learning_rate": 1.4912477622991916e-06, + "loss": 2.6067, + "step": 3690 + }, + { + "epoch": 0.77, + "learning_rate": 1.4886260953256155e-06, + "loss": 2.6122, + "step": 3691 + }, + { + "epoch": 0.77, + "learning_rate": 1.4860063317584056e-06, + "loss": 2.6184, + "step": 3692 + }, + { + "epoch": 0.77, + "learning_rate": 1.4833884730176522e-06, + "loss": 2.661, + "step": 3693 + }, + { + "epoch": 0.77, + "learning_rate": 1.480772520522416e-06, + "loss": 2.6725, + "step": 3694 + }, + { + "epoch": 0.78, + "learning_rate": 1.4781584756907252e-06, + "loss": 2.6505, + "step": 3695 + }, + { + "epoch": 0.78, + "learning_rate": 1.475546339939568e-06, + "loss": 2.5426, + "step": 3696 + }, + { + "epoch": 0.78, + "learning_rate": 1.4729361146849041e-06, + "loss": 2.6471, + "step": 3697 + }, + { + "epoch": 0.78, + "learning_rate": 1.4703278013416567e-06, + "loss": 2.6158, + "step": 3698 + }, + { + "epoch": 0.78, + "learning_rate": 1.4677214013237078e-06, + "loss": 2.7239, + "step": 3699 + }, + { + "epoch": 0.78, + "learning_rate": 1.4651169160439078e-06, + "loss": 2.6459, + "step": 3700 + }, + { + "epoch": 0.78, + "learning_rate": 1.4625143469140673e-06, + "loss": 2.6151, + "step": 3701 + }, + { + "epoch": 0.78, + "learning_rate": 1.459913695344956e-06, + "loss": 2.684, + "step": 3702 + }, + { + "epoch": 0.78, + "learning_rate": 1.4573149627463079e-06, + "loss": 2.6105, + "step": 3703 + }, + { + "epoch": 0.78, + "learning_rate": 1.4547181505268153e-06, + "loss": 2.6624, + "step": 3704 + }, + { + "epoch": 0.78, + "learning_rate": 1.4521232600941265e-06, + "loss": 2.6577, + "step": 3705 + }, + { + "epoch": 0.78, + "learning_rate": 1.4495302928548528e-06, + "loss": 2.659, + "step": 3706 + }, + { + "epoch": 0.78, + "learning_rate": 1.4469392502145602e-06, + "loss": 2.5918, + "step": 3707 + }, + { + "epoch": 0.78, + "learning_rate": 1.4443501335777732e-06, + "loss": 2.6259, + "step": 3708 + }, + { + "epoch": 0.78, + "learning_rate": 1.4417629443479715e-06, + "loss": 2.6958, + "step": 3709 + }, + { + "epoch": 0.78, + "learning_rate": 1.4391776839275872e-06, + "loss": 2.5639, + "step": 3710 + }, + { + "epoch": 0.78, + "learning_rate": 1.4365943537180115e-06, + "loss": 2.6178, + "step": 3711 + }, + { + "epoch": 0.78, + "learning_rate": 1.434012955119588e-06, + "loss": 2.6114, + "step": 3712 + }, + { + "epoch": 0.78, + "learning_rate": 1.4314334895316095e-06, + "loss": 2.6445, + "step": 3713 + }, + { + "epoch": 0.78, + "learning_rate": 1.428855958352326e-06, + "loss": 2.6532, + "step": 3714 + }, + { + "epoch": 0.78, + "learning_rate": 1.426280362978938e-06, + "loss": 2.6261, + "step": 3715 + }, + { + "epoch": 0.78, + "learning_rate": 1.423706704807592e-06, + "loss": 2.6352, + "step": 3716 + }, + { + "epoch": 0.78, + "learning_rate": 1.42113498523339e-06, + "loss": 2.6547, + "step": 3717 + }, + { + "epoch": 0.78, + "learning_rate": 1.4185652056503817e-06, + "loss": 2.6637, + "step": 3718 + }, + { + "epoch": 0.78, + "learning_rate": 1.4159973674515632e-06, + "loss": 2.6418, + "step": 3719 + }, + { + "epoch": 0.78, + "learning_rate": 1.4134314720288795e-06, + "loss": 2.6188, + "step": 3720 + }, + { + "epoch": 0.78, + "learning_rate": 1.4108675207732242e-06, + "loss": 2.513, + "step": 3721 + }, + { + "epoch": 0.78, + "learning_rate": 1.408305515074433e-06, + "loss": 2.6474, + "step": 3722 + }, + { + "epoch": 0.78, + "learning_rate": 1.4057454563212907e-06, + "loss": 2.6265, + "step": 3723 + }, + { + "epoch": 0.78, + "learning_rate": 1.4031873459015265e-06, + "loss": 2.6365, + "step": 3724 + }, + { + "epoch": 0.78, + "learning_rate": 1.4006311852018095e-06, + "loss": 2.7005, + "step": 3725 + }, + { + "epoch": 0.78, + "learning_rate": 1.3980769756077584e-06, + "loss": 2.6864, + "step": 3726 + }, + { + "epoch": 0.78, + "learning_rate": 1.3955247185039267e-06, + "loss": 2.6698, + "step": 3727 + }, + { + "epoch": 0.78, + "learning_rate": 1.3929744152738151e-06, + "loss": 2.5824, + "step": 3728 + }, + { + "epoch": 0.78, + "learning_rate": 1.3904260672998637e-06, + "loss": 2.6167, + "step": 3729 + }, + { + "epoch": 0.78, + "learning_rate": 1.3878796759634544e-06, + "loss": 2.612, + "step": 3730 + }, + { + "epoch": 0.78, + "learning_rate": 1.385335242644903e-06, + "loss": 2.6981, + "step": 3731 + }, + { + "epoch": 0.78, + "learning_rate": 1.3827927687234694e-06, + "loss": 2.5605, + "step": 3732 + }, + { + "epoch": 0.78, + "learning_rate": 1.380252255577349e-06, + "loss": 2.6662, + "step": 3733 + }, + { + "epoch": 0.78, + "learning_rate": 1.3777137045836753e-06, + "loss": 2.6809, + "step": 3734 + }, + { + "epoch": 0.78, + "learning_rate": 1.375177117118519e-06, + "loss": 2.6186, + "step": 3735 + }, + { + "epoch": 0.78, + "learning_rate": 1.3726424945568818e-06, + "loss": 2.6248, + "step": 3736 + }, + { + "epoch": 0.78, + "learning_rate": 1.3701098382727058e-06, + "loss": 2.6537, + "step": 3737 + }, + { + "epoch": 0.78, + "learning_rate": 1.3675791496388658e-06, + "loss": 2.6943, + "step": 3738 + }, + { + "epoch": 0.78, + "learning_rate": 1.3650504300271667e-06, + "loss": 2.739, + "step": 3739 + }, + { + "epoch": 0.78, + "learning_rate": 1.3625236808083498e-06, + "loss": 2.657, + "step": 3740 + }, + { + "epoch": 0.78, + "learning_rate": 1.3599989033520888e-06, + "loss": 2.5858, + "step": 3741 + }, + { + "epoch": 0.78, + "learning_rate": 1.3574760990269843e-06, + "loss": 2.6964, + "step": 3742 + }, + { + "epoch": 0.79, + "learning_rate": 1.3549552692005719e-06, + "loss": 2.684, + "step": 3743 + }, + { + "epoch": 0.79, + "learning_rate": 1.3524364152393127e-06, + "loss": 2.7241, + "step": 3744 + }, + { + "epoch": 0.79, + "learning_rate": 1.3499195385086006e-06, + "loss": 2.6208, + "step": 3745 + }, + { + "epoch": 0.79, + "learning_rate": 1.3474046403727564e-06, + "loss": 2.6347, + "step": 3746 + }, + { + "epoch": 0.79, + "learning_rate": 1.3448917221950264e-06, + "loss": 2.6736, + "step": 3747 + }, + { + "epoch": 0.79, + "learning_rate": 1.342380785337586e-06, + "loss": 2.7145, + "step": 3748 + }, + { + "epoch": 0.79, + "learning_rate": 1.3398718311615367e-06, + "loss": 2.6835, + "step": 3749 + }, + { + "epoch": 0.79, + "learning_rate": 1.3373648610269024e-06, + "loss": 2.6778, + "step": 3750 + }, + { + "epoch": 0.79, + "learning_rate": 1.3348598762926345e-06, + "loss": 2.6814, + "step": 3751 + }, + { + "epoch": 0.79, + "learning_rate": 1.3323568783166097e-06, + "loss": 2.6522, + "step": 3752 + }, + { + "epoch": 0.79, + "learning_rate": 1.32985586845562e-06, + "loss": 2.6313, + "step": 3753 + }, + { + "epoch": 0.79, + "learning_rate": 1.3273568480653888e-06, + "loss": 2.618, + "step": 3754 + }, + { + "epoch": 0.79, + "learning_rate": 1.3248598185005558e-06, + "loss": 2.6493, + "step": 3755 + }, + { + "epoch": 0.79, + "learning_rate": 1.3223647811146828e-06, + "loss": 2.5133, + "step": 3756 + }, + { + "epoch": 0.79, + "learning_rate": 1.3198717372602538e-06, + "loss": 2.6642, + "step": 3757 + }, + { + "epoch": 0.79, + "learning_rate": 1.317380688288667e-06, + "loss": 2.6682, + "step": 3758 + }, + { + "epoch": 0.79, + "learning_rate": 1.314891635550244e-06, + "loss": 2.6168, + "step": 3759 + }, + { + "epoch": 0.79, + "learning_rate": 1.3124045803942231e-06, + "loss": 2.6701, + "step": 3760 + }, + { + "epoch": 0.79, + "learning_rate": 1.3099195241687601e-06, + "loss": 2.6456, + "step": 3761 + }, + { + "epoch": 0.79, + "learning_rate": 1.3074364682209239e-06, + "loss": 2.6762, + "step": 3762 + }, + { + "epoch": 0.79, + "learning_rate": 1.3049554138967052e-06, + "loss": 2.625, + "step": 3763 + }, + { + "epoch": 0.79, + "learning_rate": 1.3024763625410025e-06, + "loss": 2.6409, + "step": 3764 + }, + { + "epoch": 0.79, + "learning_rate": 1.2999993154976342e-06, + "loss": 2.6153, + "step": 3765 + }, + { + "epoch": 0.79, + "learning_rate": 1.2975242741093319e-06, + "loss": 2.6774, + "step": 3766 + }, + { + "epoch": 0.79, + "learning_rate": 1.295051239717735e-06, + "loss": 2.6651, + "step": 3767 + }, + { + "epoch": 0.79, + "learning_rate": 1.2925802136634003e-06, + "loss": 2.7141, + "step": 3768 + }, + { + "epoch": 0.79, + "learning_rate": 1.2901111972857948e-06, + "loss": 2.6631, + "step": 3769 + }, + { + "epoch": 0.79, + "learning_rate": 1.2876441919232935e-06, + "loss": 2.6027, + "step": 3770 + }, + { + "epoch": 0.79, + "learning_rate": 1.2851791989131834e-06, + "loss": 2.6291, + "step": 3771 + }, + { + "epoch": 0.79, + "learning_rate": 1.2827162195916632e-06, + "loss": 2.6595, + "step": 3772 + }, + { + "epoch": 0.79, + "learning_rate": 1.280255255293833e-06, + "loss": 2.7016, + "step": 3773 + }, + { + "epoch": 0.79, + "learning_rate": 1.2777963073537065e-06, + "loss": 2.5785, + "step": 3774 + }, + { + "epoch": 0.79, + "learning_rate": 1.275339377104205e-06, + "loss": 2.6995, + "step": 3775 + }, + { + "epoch": 0.79, + "learning_rate": 1.2728844658771505e-06, + "loss": 2.6404, + "step": 3776 + }, + { + "epoch": 0.79, + "learning_rate": 1.2704315750032747e-06, + "loss": 2.6854, + "step": 3777 + }, + { + "epoch": 0.79, + "learning_rate": 1.2679807058122163e-06, + "loss": 2.5633, + "step": 3778 + }, + { + "epoch": 0.79, + "learning_rate": 1.2655318596325105e-06, + "loss": 2.6775, + "step": 3779 + }, + { + "epoch": 0.79, + "learning_rate": 1.2630850377916025e-06, + "loss": 2.6606, + "step": 3780 + }, + { + "epoch": 0.79, + "learning_rate": 1.2606402416158391e-06, + "loss": 2.6764, + "step": 3781 + }, + { + "epoch": 0.79, + "learning_rate": 1.2581974724304668e-06, + "loss": 2.6326, + "step": 3782 + }, + { + "epoch": 0.79, + "learning_rate": 1.255756731559637e-06, + "loss": 2.6422, + "step": 3783 + }, + { + "epoch": 0.79, + "learning_rate": 1.2533180203263962e-06, + "loss": 2.66, + "step": 3784 + }, + { + "epoch": 0.79, + "learning_rate": 1.2508813400526948e-06, + "loss": 2.6585, + "step": 3785 + }, + { + "epoch": 0.79, + "learning_rate": 1.2484466920593829e-06, + "loss": 2.7413, + "step": 3786 + }, + { + "epoch": 0.79, + "learning_rate": 1.2460140776662045e-06, + "loss": 2.6704, + "step": 3787 + }, + { + "epoch": 0.79, + "learning_rate": 1.2435834981918054e-06, + "loss": 2.6546, + "step": 3788 + }, + { + "epoch": 0.79, + "learning_rate": 1.2411549549537283e-06, + "loss": 2.7519, + "step": 3789 + }, + { + "epoch": 0.8, + "learning_rate": 1.2387284492684087e-06, + "loss": 2.6666, + "step": 3790 + }, + { + "epoch": 0.8, + "learning_rate": 1.2363039824511803e-06, + "loss": 2.6548, + "step": 3791 + }, + { + "epoch": 0.8, + "learning_rate": 1.233881555816272e-06, + "loss": 2.5572, + "step": 3792 + }, + { + "epoch": 0.8, + "learning_rate": 1.2314611706768043e-06, + "loss": 2.6744, + "step": 3793 + }, + { + "epoch": 0.8, + "learning_rate": 1.229042828344793e-06, + "loss": 2.7226, + "step": 3794 + }, + { + "epoch": 0.8, + "learning_rate": 1.2266265301311482e-06, + "loss": 2.6795, + "step": 3795 + }, + { + "epoch": 0.8, + "learning_rate": 1.2242122773456666e-06, + "loss": 2.6697, + "step": 3796 + }, + { + "epoch": 0.8, + "learning_rate": 1.2218000712970407e-06, + "loss": 2.6787, + "step": 3797 + }, + { + "epoch": 0.8, + "learning_rate": 1.2193899132928539e-06, + "loss": 2.6356, + "step": 3798 + }, + { + "epoch": 0.8, + "learning_rate": 1.2169818046395743e-06, + "loss": 2.6421, + "step": 3799 + }, + { + "epoch": 0.8, + "learning_rate": 1.2145757466425667e-06, + "loss": 2.6939, + "step": 3800 + }, + { + "epoch": 0.8, + "learning_rate": 1.2121717406060756e-06, + "loss": 2.5732, + "step": 3801 + }, + { + "epoch": 0.8, + "learning_rate": 1.209769787833241e-06, + "loss": 2.6695, + "step": 3802 + }, + { + "epoch": 0.8, + "learning_rate": 1.2073698896260855e-06, + "loss": 2.6704, + "step": 3803 + }, + { + "epoch": 0.8, + "learning_rate": 1.2049720472855192e-06, + "loss": 2.5532, + "step": 3804 + }, + { + "epoch": 0.8, + "learning_rate": 1.202576262111339e-06, + "loss": 2.6267, + "step": 3805 + }, + { + "epoch": 0.8, + "learning_rate": 1.2001825354022234e-06, + "loss": 2.6918, + "step": 3806 + }, + { + "epoch": 0.8, + "learning_rate": 1.1977908684557377e-06, + "loss": 2.6685, + "step": 3807 + }, + { + "epoch": 0.8, + "learning_rate": 1.1954012625683303e-06, + "loss": 2.6346, + "step": 3808 + }, + { + "epoch": 0.8, + "learning_rate": 1.1930137190353335e-06, + "loss": 2.669, + "step": 3809 + }, + { + "epoch": 0.8, + "learning_rate": 1.190628239150957e-06, + "loss": 2.6147, + "step": 3810 + }, + { + "epoch": 0.8, + "learning_rate": 1.1882448242082971e-06, + "loss": 2.6226, + "step": 3811 + }, + { + "epoch": 0.8, + "learning_rate": 1.1858634754993303e-06, + "loss": 2.6143, + "step": 3812 + }, + { + "epoch": 0.8, + "learning_rate": 1.1834841943149078e-06, + "loss": 2.7133, + "step": 3813 + }, + { + "epoch": 0.8, + "learning_rate": 1.1811069819447658e-06, + "loss": 2.6897, + "step": 3814 + }, + { + "epoch": 0.8, + "learning_rate": 1.1787318396775188e-06, + "loss": 2.6433, + "step": 3815 + }, + { + "epoch": 0.8, + "learning_rate": 1.1763587688006535e-06, + "loss": 2.6945, + "step": 3816 + }, + { + "epoch": 0.8, + "learning_rate": 1.1739877706005404e-06, + "loss": 2.6362, + "step": 3817 + }, + { + "epoch": 0.8, + "learning_rate": 1.171618846362424e-06, + "loss": 2.7162, + "step": 3818 + }, + { + "epoch": 0.8, + "learning_rate": 1.169251997370422e-06, + "loss": 2.6289, + "step": 3819 + }, + { + "epoch": 0.8, + "learning_rate": 1.1668872249075325e-06, + "loss": 2.7176, + "step": 3820 + }, + { + "epoch": 0.8, + "learning_rate": 1.164524530255622e-06, + "loss": 2.6001, + "step": 3821 + }, + { + "epoch": 0.8, + "learning_rate": 1.1621639146954344e-06, + "loss": 2.7348, + "step": 3822 + }, + { + "epoch": 0.8, + "learning_rate": 1.1598053795065884e-06, + "loss": 2.6148, + "step": 3823 + }, + { + "epoch": 0.8, + "learning_rate": 1.1574489259675685e-06, + "loss": 2.634, + "step": 3824 + }, + { + "epoch": 0.8, + "learning_rate": 1.155094555355737e-06, + "loss": 2.6439, + "step": 3825 + }, + { + "epoch": 0.8, + "learning_rate": 1.1527422689473255e-06, + "loss": 2.5375, + "step": 3826 + }, + { + "epoch": 0.8, + "learning_rate": 1.1503920680174335e-06, + "loss": 2.6446, + "step": 3827 + }, + { + "epoch": 0.8, + "learning_rate": 1.1480439538400317e-06, + "loss": 2.6557, + "step": 3828 + }, + { + "epoch": 0.8, + "learning_rate": 1.1456979276879605e-06, + "loss": 2.5843, + "step": 3829 + }, + { + "epoch": 0.8, + "learning_rate": 1.1433539908329266e-06, + "loss": 2.6532, + "step": 3830 + }, + { + "epoch": 0.8, + "learning_rate": 1.141012144545507e-06, + "loss": 2.6637, + "step": 3831 + }, + { + "epoch": 0.8, + "learning_rate": 1.138672390095143e-06, + "loss": 2.6222, + "step": 3832 + }, + { + "epoch": 0.8, + "learning_rate": 1.1363347287501409e-06, + "loss": 2.6527, + "step": 3833 + }, + { + "epoch": 0.8, + "learning_rate": 1.1339991617776746e-06, + "loss": 2.6444, + "step": 3834 + }, + { + "epoch": 0.8, + "learning_rate": 1.1316656904437844e-06, + "loss": 2.611, + "step": 3835 + }, + { + "epoch": 0.8, + "learning_rate": 1.1293343160133697e-06, + "loss": 2.6501, + "step": 3836 + }, + { + "epoch": 0.8, + "learning_rate": 1.127005039750198e-06, + "loss": 2.7348, + "step": 3837 + }, + { + "epoch": 0.81, + "learning_rate": 1.1246778629168947e-06, + "loss": 2.7025, + "step": 3838 + }, + { + "epoch": 0.81, + "learning_rate": 1.1223527867749518e-06, + "loss": 2.6772, + "step": 3839 + }, + { + "epoch": 0.81, + "learning_rate": 1.1200298125847215e-06, + "loss": 2.583, + "step": 3840 + }, + { + "epoch": 0.81, + "learning_rate": 1.1177089416054132e-06, + "loss": 2.6742, + "step": 3841 + }, + { + "epoch": 0.81, + "learning_rate": 1.1153901750951002e-06, + "loss": 2.6231, + "step": 3842 + }, + { + "epoch": 0.81, + "learning_rate": 1.1130735143107142e-06, + "loss": 2.6099, + "step": 3843 + }, + { + "epoch": 0.81, + "learning_rate": 1.1107589605080432e-06, + "loss": 2.5543, + "step": 3844 + }, + { + "epoch": 0.81, + "learning_rate": 1.108446514941735e-06, + "loss": 2.6457, + "step": 3845 + }, + { + "epoch": 0.81, + "learning_rate": 1.1061361788652963e-06, + "loss": 2.6827, + "step": 3846 + }, + { + "epoch": 0.81, + "learning_rate": 1.1038279535310852e-06, + "loss": 2.6913, + "step": 3847 + }, + { + "epoch": 0.81, + "learning_rate": 1.1015218401903205e-06, + "loss": 2.6518, + "step": 3848 + }, + { + "epoch": 0.81, + "learning_rate": 1.0992178400930753e-06, + "loss": 2.636, + "step": 3849 + }, + { + "epoch": 0.81, + "learning_rate": 1.096915954488274e-06, + "loss": 2.6391, + "step": 3850 + }, + { + "epoch": 0.81, + "learning_rate": 1.0946161846236974e-06, + "loss": 2.6298, + "step": 3851 + }, + { + "epoch": 0.81, + "learning_rate": 1.0923185317459805e-06, + "loss": 2.5437, + "step": 3852 + }, + { + "epoch": 0.81, + "learning_rate": 1.09002299710061e-06, + "loss": 2.6309, + "step": 3853 + }, + { + "epoch": 0.81, + "learning_rate": 1.0877295819319205e-06, + "loss": 2.6835, + "step": 3854 + }, + { + "epoch": 0.81, + "learning_rate": 1.0854382874831032e-06, + "loss": 2.6966, + "step": 3855 + }, + { + "epoch": 0.81, + "learning_rate": 1.0831491149961964e-06, + "loss": 2.6256, + "step": 3856 + }, + { + "epoch": 0.81, + "learning_rate": 1.0808620657120915e-06, + "loss": 2.7065, + "step": 3857 + }, + { + "epoch": 0.81, + "learning_rate": 1.078577140870523e-06, + "loss": 2.6472, + "step": 3858 + }, + { + "epoch": 0.81, + "learning_rate": 1.0762943417100797e-06, + "loss": 2.5941, + "step": 3859 + }, + { + "epoch": 0.81, + "learning_rate": 1.0740136694681968e-06, + "loss": 2.673, + "step": 3860 + }, + { + "epoch": 0.81, + "learning_rate": 1.071735125381153e-06, + "loss": 2.6134, + "step": 3861 + }, + { + "epoch": 0.81, + "learning_rate": 1.069458710684077e-06, + "loss": 2.6838, + "step": 3862 + }, + { + "epoch": 0.81, + "learning_rate": 1.0671844266109443e-06, + "loss": 2.639, + "step": 3863 + }, + { + "epoch": 0.81, + "learning_rate": 1.06491227439457e-06, + "loss": 2.6258, + "step": 3864 + }, + { + "epoch": 0.81, + "learning_rate": 1.0626422552666194e-06, + "loss": 2.6707, + "step": 3865 + }, + { + "epoch": 0.81, + "learning_rate": 1.0603743704575992e-06, + "loss": 2.6977, + "step": 3866 + }, + { + "epoch": 0.81, + "learning_rate": 1.0581086211968571e-06, + "loss": 2.6536, + "step": 3867 + }, + { + "epoch": 0.81, + "learning_rate": 1.0558450087125865e-06, + "loss": 2.6429, + "step": 3868 + }, + { + "epoch": 0.81, + "learning_rate": 1.0535835342318223e-06, + "loss": 2.6969, + "step": 3869 + }, + { + "epoch": 0.81, + "learning_rate": 1.0513241989804374e-06, + "loss": 2.7071, + "step": 3870 + }, + { + "epoch": 0.81, + "learning_rate": 1.0490670041831474e-06, + "loss": 2.5936, + "step": 3871 + }, + { + "epoch": 0.81, + "learning_rate": 1.0468119510635088e-06, + "loss": 2.6697, + "step": 3872 + }, + { + "epoch": 0.81, + "learning_rate": 1.0445590408439133e-06, + "loss": 2.6666, + "step": 3873 + }, + { + "epoch": 0.81, + "learning_rate": 1.0423082747455943e-06, + "loss": 2.611, + "step": 3874 + }, + { + "epoch": 0.81, + "learning_rate": 1.0400596539886233e-06, + "loss": 2.6697, + "step": 3875 + }, + { + "epoch": 0.81, + "learning_rate": 1.0378131797919056e-06, + "loss": 2.7054, + "step": 3876 + }, + { + "epoch": 0.81, + "learning_rate": 1.035568853373185e-06, + "loss": 2.6497, + "step": 3877 + }, + { + "epoch": 0.81, + "learning_rate": 1.0333266759490418e-06, + "loss": 2.6383, + "step": 3878 + }, + { + "epoch": 0.81, + "learning_rate": 1.0310866487348903e-06, + "loss": 2.6246, + "step": 3879 + }, + { + "epoch": 0.81, + "learning_rate": 1.0288487729449803e-06, + "loss": 2.6658, + "step": 3880 + }, + { + "epoch": 0.81, + "learning_rate": 1.0266130497923926e-06, + "loss": 2.6651, + "step": 3881 + }, + { + "epoch": 0.81, + "learning_rate": 1.024379480489044e-06, + "loss": 2.6323, + "step": 3882 + }, + { + "epoch": 0.81, + "learning_rate": 1.0221480662456845e-06, + "loss": 2.6254, + "step": 3883 + }, + { + "epoch": 0.81, + "learning_rate": 1.0199188082718908e-06, + "loss": 2.623, + "step": 3884 + }, + { + "epoch": 0.81, + "learning_rate": 1.0176917077760763e-06, + "loss": 2.7127, + "step": 3885 + }, + { + "epoch": 0.82, + "learning_rate": 1.0154667659654832e-06, + "loss": 2.7064, + "step": 3886 + }, + { + "epoch": 0.82, + "learning_rate": 1.0132439840461817e-06, + "loss": 2.6557, + "step": 3887 + }, + { + "epoch": 0.82, + "learning_rate": 1.0110233632230726e-06, + "loss": 2.6887, + "step": 3888 + }, + { + "epoch": 0.82, + "learning_rate": 1.0088049046998876e-06, + "loss": 2.6126, + "step": 3889 + }, + { + "epoch": 0.82, + "learning_rate": 1.006588609679181e-06, + "loss": 2.689, + "step": 3890 + }, + { + "epoch": 0.82, + "learning_rate": 1.0043744793623384e-06, + "loss": 2.6119, + "step": 3891 + }, + { + "epoch": 0.82, + "learning_rate": 1.0021625149495723e-06, + "loss": 2.6638, + "step": 3892 + }, + { + "epoch": 0.82, + "learning_rate": 9.999527176399165e-07, + "loss": 2.6088, + "step": 3893 + }, + { + "epoch": 0.82, + "learning_rate": 9.977450886312374e-07, + "loss": 2.5789, + "step": 3894 + }, + { + "epoch": 0.82, + "learning_rate": 9.955396291202174e-07, + "loss": 2.6903, + "step": 3895 + }, + { + "epoch": 0.82, + "learning_rate": 9.933363403023694e-07, + "loss": 2.6705, + "step": 3896 + }, + { + "epoch": 0.82, + "learning_rate": 9.911352233720295e-07, + "loss": 2.6853, + "step": 3897 + }, + { + "epoch": 0.82, + "learning_rate": 9.889362795223512e-07, + "loss": 2.6169, + "step": 3898 + }, + { + "epoch": 0.82, + "learning_rate": 9.867395099453153e-07, + "loss": 2.6731, + "step": 3899 + }, + { + "epoch": 0.82, + "learning_rate": 9.845449158317216e-07, + "loss": 2.6599, + "step": 3900 + }, + { + "epoch": 0.82, + "learning_rate": 9.823524983711935e-07, + "loss": 2.6456, + "step": 3901 + }, + { + "epoch": 0.82, + "learning_rate": 9.80162258752168e-07, + "loss": 2.6223, + "step": 3902 + }, + { + "epoch": 0.82, + "learning_rate": 9.779741981619084e-07, + "loss": 2.5874, + "step": 3903 + }, + { + "epoch": 0.82, + "learning_rate": 9.757883177864929e-07, + "loss": 2.5619, + "step": 3904 + }, + { + "epoch": 0.82, + "learning_rate": 9.736046188108205e-07, + "loss": 2.6778, + "step": 3905 + }, + { + "epoch": 0.82, + "learning_rate": 9.714231024186072e-07, + "loss": 2.6788, + "step": 3906 + }, + { + "epoch": 0.82, + "learning_rate": 9.692437697923818e-07, + "loss": 2.6739, + "step": 3907 + }, + { + "epoch": 0.82, + "learning_rate": 9.670666221134944e-07, + "loss": 2.69, + "step": 3908 + }, + { + "epoch": 0.82, + "learning_rate": 9.648916605621106e-07, + "loss": 2.6171, + "step": 3909 + }, + { + "epoch": 0.82, + "learning_rate": 9.62718886317206e-07, + "loss": 2.6313, + "step": 3910 + }, + { + "epoch": 0.82, + "learning_rate": 9.605483005565752e-07, + "loss": 2.6438, + "step": 3911 + }, + { + "epoch": 0.82, + "learning_rate": 9.583799044568264e-07, + "loss": 2.5991, + "step": 3912 + }, + { + "epoch": 0.82, + "learning_rate": 9.562136991933773e-07, + "loss": 2.6351, + "step": 3913 + }, + { + "epoch": 0.82, + "learning_rate": 9.54049685940463e-07, + "loss": 2.6256, + "step": 3914 + }, + { + "epoch": 0.82, + "learning_rate": 9.518878658711244e-07, + "loss": 2.6693, + "step": 3915 + }, + { + "epoch": 0.82, + "learning_rate": 9.497282401572189e-07, + "loss": 2.7007, + "step": 3916 + }, + { + "epoch": 0.82, + "learning_rate": 9.475708099694125e-07, + "loss": 2.5783, + "step": 3917 + }, + { + "epoch": 0.82, + "learning_rate": 9.454155764771794e-07, + "loss": 2.6318, + "step": 3918 + }, + { + "epoch": 0.82, + "learning_rate": 9.432625408488049e-07, + "loss": 2.6464, + "step": 3919 + }, + { + "epoch": 0.82, + "learning_rate": 9.411117042513845e-07, + "loss": 2.6332, + "step": 3920 + }, + { + "epoch": 0.82, + "learning_rate": 9.389630678508166e-07, + "loss": 2.676, + "step": 3921 + }, + { + "epoch": 0.82, + "learning_rate": 9.368166328118117e-07, + "loss": 2.6563, + "step": 3922 + }, + { + "epoch": 0.82, + "learning_rate": 9.346724002978863e-07, + "loss": 2.6029, + "step": 3923 + }, + { + "epoch": 0.82, + "learning_rate": 9.325303714713596e-07, + "loss": 2.644, + "step": 3924 + }, + { + "epoch": 0.82, + "learning_rate": 9.3039054749336e-07, + "loss": 2.5807, + "step": 3925 + }, + { + "epoch": 0.82, + "learning_rate": 9.28252929523819e-07, + "loss": 2.7255, + "step": 3926 + }, + { + "epoch": 0.82, + "learning_rate": 9.261175187214738e-07, + "loss": 2.6133, + "step": 3927 + }, + { + "epoch": 0.82, + "learning_rate": 9.239843162438639e-07, + "loss": 2.6464, + "step": 3928 + }, + { + "epoch": 0.82, + "learning_rate": 9.218533232473303e-07, + "loss": 2.6637, + "step": 3929 + }, + { + "epoch": 0.82, + "learning_rate": 9.197245408870192e-07, + "loss": 2.6989, + "step": 3930 + }, + { + "epoch": 0.82, + "learning_rate": 9.175979703168775e-07, + "loss": 2.691, + "step": 3931 + }, + { + "epoch": 0.82, + "learning_rate": 9.154736126896513e-07, + "loss": 2.6875, + "step": 3932 + }, + { + "epoch": 0.83, + "learning_rate": 9.133514691568895e-07, + "loss": 2.6099, + "step": 3933 + }, + { + "epoch": 0.83, + "learning_rate": 9.112315408689415e-07, + "loss": 2.7305, + "step": 3934 + }, + { + "epoch": 0.83, + "learning_rate": 9.091138289749512e-07, + "loss": 2.6586, + "step": 3935 + }, + { + "epoch": 0.83, + "learning_rate": 9.069983346228662e-07, + "loss": 2.6729, + "step": 3936 + }, + { + "epoch": 0.83, + "learning_rate": 9.048850589594311e-07, + "loss": 2.6361, + "step": 3937 + }, + { + "epoch": 0.83, + "learning_rate": 9.027740031301835e-07, + "loss": 2.6299, + "step": 3938 + }, + { + "epoch": 0.83, + "learning_rate": 9.006651682794637e-07, + "loss": 2.658, + "step": 3939 + }, + { + "epoch": 0.83, + "learning_rate": 8.985585555504056e-07, + "loss": 2.6757, + "step": 3940 + }, + { + "epoch": 0.83, + "learning_rate": 8.964541660849358e-07, + "loss": 2.6755, + "step": 3941 + }, + { + "epoch": 0.83, + "learning_rate": 8.943520010237799e-07, + "loss": 2.6271, + "step": 3942 + }, + { + "epoch": 0.83, + "learning_rate": 8.922520615064573e-07, + "loss": 2.6621, + "step": 3943 + }, + { + "epoch": 0.83, + "learning_rate": 8.901543486712772e-07, + "loss": 2.6979, + "step": 3944 + }, + { + "epoch": 0.83, + "learning_rate": 8.88058863655345e-07, + "loss": 2.6683, + "step": 3945 + }, + { + "epoch": 0.83, + "learning_rate": 8.8596560759456e-07, + "loss": 2.5795, + "step": 3946 + }, + { + "epoch": 0.83, + "learning_rate": 8.838745816236082e-07, + "loss": 2.5769, + "step": 3947 + }, + { + "epoch": 0.83, + "learning_rate": 8.817857868759705e-07, + "loss": 2.6097, + "step": 3948 + }, + { + "epoch": 0.83, + "learning_rate": 8.796992244839192e-07, + "loss": 2.6493, + "step": 3949 + }, + { + "epoch": 0.83, + "learning_rate": 8.776148955785124e-07, + "loss": 2.6431, + "step": 3950 + }, + { + "epoch": 0.83, + "learning_rate": 8.755328012896002e-07, + "loss": 2.6604, + "step": 3951 + }, + { + "epoch": 0.83, + "learning_rate": 8.734529427458221e-07, + "loss": 2.6675, + "step": 3952 + }, + { + "epoch": 0.83, + "learning_rate": 8.71375321074604e-07, + "loss": 2.6792, + "step": 3953 + }, + { + "epoch": 0.83, + "learning_rate": 8.69299937402161e-07, + "loss": 2.722, + "step": 3954 + }, + { + "epoch": 0.83, + "learning_rate": 8.672267928534916e-07, + "loss": 2.6433, + "step": 3955 + }, + { + "epoch": 0.83, + "learning_rate": 8.651558885523842e-07, + "loss": 2.6749, + "step": 3956 + }, + { + "epoch": 0.83, + "learning_rate": 8.630872256214129e-07, + "loss": 2.6535, + "step": 3957 + }, + { + "epoch": 0.83, + "learning_rate": 8.610208051819324e-07, + "loss": 2.6556, + "step": 3958 + }, + { + "epoch": 0.83, + "learning_rate": 8.589566283540862e-07, + "loss": 2.5884, + "step": 3959 + }, + { + "epoch": 0.83, + "learning_rate": 8.56894696256802e-07, + "loss": 2.6272, + "step": 3960 + }, + { + "epoch": 0.83, + "learning_rate": 8.548350100077857e-07, + "loss": 2.6796, + "step": 3961 + }, + { + "epoch": 0.83, + "learning_rate": 8.527775707235308e-07, + "loss": 2.6307, + "step": 3962 + }, + { + "epoch": 0.83, + "learning_rate": 8.50722379519312e-07, + "loss": 2.6348, + "step": 3963 + }, + { + "epoch": 0.83, + "learning_rate": 8.48669437509182e-07, + "loss": 2.6157, + "step": 3964 + }, + { + "epoch": 0.83, + "learning_rate": 8.466187458059782e-07, + "loss": 2.616, + "step": 3965 + }, + { + "epoch": 0.83, + "learning_rate": 8.445703055213172e-07, + "loss": 2.6623, + "step": 3966 + }, + { + "epoch": 0.83, + "learning_rate": 8.42524117765593e-07, + "loss": 2.656, + "step": 3967 + }, + { + "epoch": 0.83, + "learning_rate": 8.404801836479809e-07, + "loss": 2.7, + "step": 3968 + }, + { + "epoch": 0.83, + "learning_rate": 8.384385042764354e-07, + "loss": 2.6086, + "step": 3969 + }, + { + "epoch": 0.83, + "learning_rate": 8.363990807576844e-07, + "loss": 2.6215, + "step": 3970 + }, + { + "epoch": 0.83, + "learning_rate": 8.343619141972386e-07, + "loss": 2.6481, + "step": 3971 + }, + { + "epoch": 0.83, + "learning_rate": 8.323270056993798e-07, + "loss": 2.6944, + "step": 3972 + }, + { + "epoch": 0.83, + "learning_rate": 8.302943563671705e-07, + "loss": 2.7285, + "step": 3973 + }, + { + "epoch": 0.83, + "learning_rate": 8.282639673024456e-07, + "loss": 2.7034, + "step": 3974 + }, + { + "epoch": 0.83, + "learning_rate": 8.262358396058162e-07, + "loss": 2.74, + "step": 3975 + }, + { + "epoch": 0.83, + "learning_rate": 8.242099743766685e-07, + "loss": 2.6735, + "step": 3976 + }, + { + "epoch": 0.83, + "learning_rate": 8.22186372713158e-07, + "loss": 2.6682, + "step": 3977 + }, + { + "epoch": 0.83, + "learning_rate": 8.201650357122171e-07, + "loss": 2.636, + "step": 3978 + }, + { + "epoch": 0.83, + "learning_rate": 8.181459644695505e-07, + "loss": 2.6288, + "step": 3979 + }, + { + "epoch": 0.83, + "learning_rate": 8.161291600796345e-07, + "loss": 2.6554, + "step": 3980 + }, + { + "epoch": 0.84, + "learning_rate": 8.141146236357133e-07, + "loss": 2.6336, + "step": 3981 + }, + { + "epoch": 0.84, + "learning_rate": 8.121023562298064e-07, + "loss": 2.6785, + "step": 3982 + }, + { + "epoch": 0.84, + "learning_rate": 8.100923589527016e-07, + "loss": 2.6443, + "step": 3983 + }, + { + "epoch": 0.84, + "learning_rate": 8.080846328939528e-07, + "loss": 2.7175, + "step": 3984 + }, + { + "epoch": 0.84, + "learning_rate": 8.060791791418887e-07, + "loss": 2.6491, + "step": 3985 + }, + { + "epoch": 0.84, + "learning_rate": 8.040759987836033e-07, + "loss": 2.6641, + "step": 3986 + }, + { + "epoch": 0.84, + "learning_rate": 8.020750929049559e-07, + "loss": 2.6238, + "step": 3987 + }, + { + "epoch": 0.84, + "learning_rate": 8.000764625905777e-07, + "loss": 2.6425, + "step": 3988 + }, + { + "epoch": 0.84, + "learning_rate": 7.980801089238616e-07, + "loss": 2.6454, + "step": 3989 + }, + { + "epoch": 0.84, + "learning_rate": 7.960860329869701e-07, + "loss": 2.6912, + "step": 3990 + }, + { + "epoch": 0.84, + "learning_rate": 7.940942358608306e-07, + "loss": 2.7095, + "step": 3991 + }, + { + "epoch": 0.84, + "learning_rate": 7.921047186251312e-07, + "loss": 2.6252, + "step": 3992 + }, + { + "epoch": 0.84, + "learning_rate": 7.901174823583296e-07, + "loss": 2.7093, + "step": 3993 + }, + { + "epoch": 0.84, + "learning_rate": 7.881325281376457e-07, + "loss": 2.6397, + "step": 3994 + }, + { + "epoch": 0.84, + "learning_rate": 7.86149857039058e-07, + "loss": 2.6502, + "step": 3995 + }, + { + "epoch": 0.84, + "learning_rate": 7.841694701373126e-07, + "loss": 2.6803, + "step": 3996 + }, + { + "epoch": 0.84, + "learning_rate": 7.821913685059168e-07, + "loss": 2.6242, + "step": 3997 + }, + { + "epoch": 0.84, + "learning_rate": 7.802155532171346e-07, + "loss": 2.6621, + "step": 3998 + }, + { + "epoch": 0.84, + "learning_rate": 7.782420253419964e-07, + "loss": 2.7179, + "step": 3999 + }, + { + "epoch": 0.84, + "learning_rate": 7.762707859502888e-07, + "loss": 2.6486, + "step": 4000 + }, + { + "epoch": 0.84, + "learning_rate": 7.743018361105603e-07, + "loss": 2.6026, + "step": 4001 + }, + { + "epoch": 0.84, + "learning_rate": 7.723351768901172e-07, + "loss": 2.6391, + "step": 4002 + }, + { + "epoch": 0.84, + "learning_rate": 7.703708093550244e-07, + "loss": 2.6563, + "step": 4003 + }, + { + "epoch": 0.84, + "learning_rate": 7.68408734570103e-07, + "loss": 2.6075, + "step": 4004 + }, + { + "epoch": 0.84, + "learning_rate": 7.664489535989328e-07, + "loss": 2.6847, + "step": 4005 + }, + { + "epoch": 0.84, + "learning_rate": 7.644914675038523e-07, + "loss": 2.6339, + "step": 4006 + }, + { + "epoch": 0.84, + "learning_rate": 7.625362773459505e-07, + "loss": 2.647, + "step": 4007 + }, + { + "epoch": 0.84, + "learning_rate": 7.605833841850779e-07, + "loss": 2.7416, + "step": 4008 + }, + { + "epoch": 0.84, + "learning_rate": 7.58632789079834e-07, + "loss": 2.687, + "step": 4009 + }, + { + "epoch": 0.84, + "learning_rate": 7.566844930875778e-07, + "loss": 2.5859, + "step": 4010 + }, + { + "epoch": 0.84, + "learning_rate": 7.5473849726442e-07, + "loss": 2.6619, + "step": 4011 + }, + { + "epoch": 0.84, + "learning_rate": 7.527948026652226e-07, + "loss": 2.6026, + "step": 4012 + }, + { + "epoch": 0.84, + "learning_rate": 7.508534103436027e-07, + "loss": 2.6404, + "step": 4013 + }, + { + "epoch": 0.84, + "learning_rate": 7.489143213519301e-07, + "loss": 2.5823, + "step": 4014 + }, + { + "epoch": 0.84, + "learning_rate": 7.469775367413218e-07, + "loss": 2.6003, + "step": 4015 + }, + { + "epoch": 0.84, + "learning_rate": 7.450430575616496e-07, + "loss": 2.6206, + "step": 4016 + }, + { + "epoch": 0.84, + "learning_rate": 7.43110884861536e-07, + "loss": 2.6221, + "step": 4017 + }, + { + "epoch": 0.84, + "learning_rate": 7.41181019688349e-07, + "loss": 2.6313, + "step": 4018 + }, + { + "epoch": 0.84, + "learning_rate": 7.392534630882092e-07, + "loss": 2.6311, + "step": 4019 + }, + { + "epoch": 0.84, + "learning_rate": 7.373282161059864e-07, + "loss": 2.5594, + "step": 4020 + }, + { + "epoch": 0.84, + "learning_rate": 7.354052797852945e-07, + "loss": 2.6598, + "step": 4021 + }, + { + "epoch": 0.84, + "learning_rate": 7.334846551684993e-07, + "loss": 2.6294, + "step": 4022 + }, + { + "epoch": 0.84, + "learning_rate": 7.315663432967101e-07, + "loss": 2.6625, + "step": 4023 + }, + { + "epoch": 0.84, + "learning_rate": 7.296503452097864e-07, + "loss": 2.6748, + "step": 4024 + }, + { + "epoch": 0.84, + "learning_rate": 7.277366619463283e-07, + "loss": 2.707, + "step": 4025 + }, + { + "epoch": 0.84, + "learning_rate": 7.25825294543685e-07, + "loss": 2.6289, + "step": 4026 + }, + { + "epoch": 0.84, + "learning_rate": 7.239162440379493e-07, + "loss": 2.6572, + "step": 4027 + }, + { + "epoch": 0.84, + "learning_rate": 7.220095114639591e-07, + "loss": 2.6906, + "step": 4028 + }, + { + "epoch": 0.85, + "learning_rate": 7.20105097855292e-07, + "loss": 2.6241, + "step": 4029 + }, + { + "epoch": 0.85, + "learning_rate": 7.182030042442728e-07, + "loss": 2.6064, + "step": 4030 + }, + { + "epoch": 0.85, + "learning_rate": 7.16303231661969e-07, + "loss": 2.5989, + "step": 4031 + }, + { + "epoch": 0.85, + "learning_rate": 7.144057811381844e-07, + "loss": 2.6247, + "step": 4032 + }, + { + "epoch": 0.85, + "learning_rate": 7.125106537014698e-07, + "loss": 2.6302, + "step": 4033 + }, + { + "epoch": 0.85, + "learning_rate": 7.106178503791156e-07, + "loss": 2.6503, + "step": 4034 + }, + { + "epoch": 0.85, + "learning_rate": 7.0872737219715e-07, + "loss": 2.5604, + "step": 4035 + }, + { + "epoch": 0.85, + "learning_rate": 7.06839220180342e-07, + "loss": 2.6437, + "step": 4036 + }, + { + "epoch": 0.85, + "learning_rate": 7.049533953522025e-07, + "loss": 2.629, + "step": 4037 + }, + { + "epoch": 0.85, + "learning_rate": 7.030698987349749e-07, + "loss": 2.6423, + "step": 4038 + }, + { + "epoch": 0.85, + "learning_rate": 7.011887313496463e-07, + "loss": 2.7014, + "step": 4039 + }, + { + "epoch": 0.85, + "learning_rate": 6.993098942159393e-07, + "loss": 2.6211, + "step": 4040 + }, + { + "epoch": 0.85, + "learning_rate": 6.974333883523104e-07, + "loss": 2.576, + "step": 4041 + }, + { + "epoch": 0.85, + "learning_rate": 6.955592147759572e-07, + "loss": 2.6754, + "step": 4042 + }, + { + "epoch": 0.85, + "learning_rate": 6.936873745028111e-07, + "loss": 2.5755, + "step": 4043 + }, + { + "epoch": 0.85, + "learning_rate": 6.918178685475363e-07, + "loss": 2.6758, + "step": 4044 + }, + { + "epoch": 0.85, + "learning_rate": 6.899506979235354e-07, + "loss": 2.674, + "step": 4045 + }, + { + "epoch": 0.85, + "learning_rate": 6.880858636429427e-07, + "loss": 2.7234, + "step": 4046 + }, + { + "epoch": 0.85, + "learning_rate": 6.862233667166262e-07, + "loss": 2.6427, + "step": 4047 + }, + { + "epoch": 0.85, + "learning_rate": 6.843632081541885e-07, + "loss": 2.6312, + "step": 4048 + }, + { + "epoch": 0.85, + "learning_rate": 6.825053889639632e-07, + "loss": 2.609, + "step": 4049 + }, + { + "epoch": 0.85, + "learning_rate": 6.806499101530162e-07, + "loss": 2.6988, + "step": 4050 + }, + { + "epoch": 0.85, + "learning_rate": 6.787967727271455e-07, + "loss": 2.5861, + "step": 4051 + }, + { + "epoch": 0.85, + "learning_rate": 6.769459776908777e-07, + "loss": 2.6306, + "step": 4052 + }, + { + "epoch": 0.85, + "learning_rate": 6.750975260474718e-07, + "loss": 2.6571, + "step": 4053 + }, + { + "epoch": 0.85, + "learning_rate": 6.732514187989164e-07, + "loss": 2.649, + "step": 4054 + }, + { + "epoch": 0.85, + "learning_rate": 6.714076569459277e-07, + "loss": 2.7251, + "step": 4055 + }, + { + "epoch": 0.85, + "learning_rate": 6.695662414879517e-07, + "loss": 2.7049, + "step": 4056 + }, + { + "epoch": 0.85, + "learning_rate": 6.677271734231639e-07, + "loss": 2.626, + "step": 4057 + }, + { + "epoch": 0.85, + "learning_rate": 6.658904537484633e-07, + "loss": 2.6958, + "step": 4058 + }, + { + "epoch": 0.85, + "learning_rate": 6.640560834594794e-07, + "loss": 2.6282, + "step": 4059 + }, + { + "epoch": 0.85, + "learning_rate": 6.622240635505689e-07, + "loss": 2.6488, + "step": 4060 + }, + { + "epoch": 0.85, + "learning_rate": 6.603943950148101e-07, + "loss": 2.6288, + "step": 4061 + }, + { + "epoch": 0.85, + "learning_rate": 6.585670788440101e-07, + "loss": 2.6053, + "step": 4062 + }, + { + "epoch": 0.85, + "learning_rate": 6.567421160287013e-07, + "loss": 2.6505, + "step": 4063 + }, + { + "epoch": 0.85, + "learning_rate": 6.549195075581371e-07, + "loss": 2.6694, + "step": 4064 + }, + { + "epoch": 0.85, + "learning_rate": 6.530992544202991e-07, + "loss": 2.5794, + "step": 4065 + }, + { + "epoch": 0.85, + "learning_rate": 6.512813576018878e-07, + "loss": 2.5954, + "step": 4066 + }, + { + "epoch": 0.85, + "learning_rate": 6.494658180883285e-07, + "loss": 2.6373, + "step": 4067 + }, + { + "epoch": 0.85, + "learning_rate": 6.476526368637709e-07, + "loss": 2.6003, + "step": 4068 + }, + { + "epoch": 0.85, + "learning_rate": 6.458418149110807e-07, + "loss": 2.6188, + "step": 4069 + }, + { + "epoch": 0.85, + "learning_rate": 6.440333532118503e-07, + "loss": 2.6746, + "step": 4070 + }, + { + "epoch": 0.85, + "learning_rate": 6.422272527463891e-07, + "loss": 2.5899, + "step": 4071 + }, + { + "epoch": 0.85, + "learning_rate": 6.404235144937304e-07, + "loss": 2.5459, + "step": 4072 + }, + { + "epoch": 0.85, + "learning_rate": 6.386221394316217e-07, + "loss": 2.6941, + "step": 4073 + }, + { + "epoch": 0.85, + "learning_rate": 6.368231285365328e-07, + "loss": 2.6908, + "step": 4074 + }, + { + "epoch": 0.85, + "learning_rate": 6.350264827836522e-07, + "loss": 2.6595, + "step": 4075 + }, + { + "epoch": 0.86, + "learning_rate": 6.332322031468852e-07, + "loss": 2.6987, + "step": 4076 + }, + { + "epoch": 0.86, + "learning_rate": 6.314402905988565e-07, + "loss": 2.5768, + "step": 4077 + }, + { + "epoch": 0.86, + "learning_rate": 6.29650746110903e-07, + "loss": 2.6629, + "step": 4078 + }, + { + "epoch": 0.86, + "learning_rate": 6.278635706530828e-07, + "loss": 2.6595, + "step": 4079 + }, + { + "epoch": 0.86, + "learning_rate": 6.260787651941685e-07, + "loss": 2.5659, + "step": 4080 + }, + { + "epoch": 0.86, + "learning_rate": 6.242963307016459e-07, + "loss": 2.5718, + "step": 4081 + }, + { + "epoch": 0.86, + "learning_rate": 6.225162681417191e-07, + "loss": 2.6182, + "step": 4082 + }, + { + "epoch": 0.86, + "learning_rate": 6.207385784793029e-07, + "loss": 2.6381, + "step": 4083 + }, + { + "epoch": 0.86, + "learning_rate": 6.189632626780273e-07, + "loss": 2.5968, + "step": 4084 + }, + { + "epoch": 0.86, + "learning_rate": 6.171903217002384e-07, + "loss": 2.6849, + "step": 4085 + }, + { + "epoch": 0.86, + "learning_rate": 6.154197565069886e-07, + "loss": 2.626, + "step": 4086 + }, + { + "epoch": 0.86, + "learning_rate": 6.136515680580479e-07, + "loss": 2.6288, + "step": 4087 + }, + { + "epoch": 0.86, + "learning_rate": 6.118857573118969e-07, + "loss": 2.6335, + "step": 4088 + }, + { + "epoch": 0.86, + "learning_rate": 6.101223252257255e-07, + "loss": 2.6516, + "step": 4089 + }, + { + "epoch": 0.86, + "learning_rate": 6.08361272755435e-07, + "loss": 2.6521, + "step": 4090 + }, + { + "epoch": 0.86, + "learning_rate": 6.066026008556386e-07, + "loss": 2.6726, + "step": 4091 + }, + { + "epoch": 0.86, + "learning_rate": 6.048463104796554e-07, + "loss": 2.7078, + "step": 4092 + }, + { + "epoch": 0.86, + "learning_rate": 6.03092402579517e-07, + "loss": 2.6995, + "step": 4093 + }, + { + "epoch": 0.86, + "learning_rate": 6.013408781059627e-07, + "loss": 2.6461, + "step": 4094 + }, + { + "epoch": 0.86, + "learning_rate": 5.995917380084382e-07, + "loss": 2.6265, + "step": 4095 + }, + { + "epoch": 0.86, + "learning_rate": 5.978449832350974e-07, + "loss": 2.6878, + "step": 4096 + }, + { + "epoch": 0.86, + "learning_rate": 5.96100614732803e-07, + "loss": 2.6171, + "step": 4097 + }, + { + "epoch": 0.86, + "learning_rate": 5.943586334471224e-07, + "loss": 2.6046, + "step": 4098 + }, + { + "epoch": 0.86, + "learning_rate": 5.926190403223303e-07, + "loss": 2.6642, + "step": 4099 + }, + { + "epoch": 0.86, + "learning_rate": 5.908818363014041e-07, + "loss": 2.6556, + "step": 4100 + }, + { + "epoch": 0.86, + "learning_rate": 5.891470223260282e-07, + "loss": 2.6024, + "step": 4101 + }, + { + "epoch": 0.86, + "learning_rate": 5.874145993365932e-07, + "loss": 2.7004, + "step": 4102 + }, + { + "epoch": 0.86, + "learning_rate": 5.85684568272189e-07, + "loss": 2.6206, + "step": 4103 + }, + { + "epoch": 0.86, + "learning_rate": 5.839569300706127e-07, + "loss": 2.7275, + "step": 4104 + }, + { + "epoch": 0.86, + "learning_rate": 5.822316856683641e-07, + "loss": 2.6739, + "step": 4105 + }, + { + "epoch": 0.86, + "learning_rate": 5.805088360006422e-07, + "loss": 2.6747, + "step": 4106 + }, + { + "epoch": 0.86, + "learning_rate": 5.787883820013518e-07, + "loss": 2.6075, + "step": 4107 + }, + { + "epoch": 0.86, + "learning_rate": 5.770703246030979e-07, + "loss": 2.6406, + "step": 4108 + }, + { + "epoch": 0.86, + "learning_rate": 5.753546647371838e-07, + "loss": 2.7207, + "step": 4109 + }, + { + "epoch": 0.86, + "learning_rate": 5.736414033336163e-07, + "loss": 2.651, + "step": 4110 + }, + { + "epoch": 0.86, + "learning_rate": 5.719305413211018e-07, + "loss": 2.5959, + "step": 4111 + }, + { + "epoch": 0.86, + "learning_rate": 5.702220796270441e-07, + "loss": 2.6231, + "step": 4112 + }, + { + "epoch": 0.86, + "learning_rate": 5.685160191775474e-07, + "loss": 2.7453, + "step": 4113 + }, + { + "epoch": 0.86, + "learning_rate": 5.668123608974152e-07, + "loss": 2.6291, + "step": 4114 + }, + { + "epoch": 0.86, + "learning_rate": 5.65111105710145e-07, + "loss": 2.6014, + "step": 4115 + }, + { + "epoch": 0.86, + "learning_rate": 5.634122545379355e-07, + "loss": 2.6237, + "step": 4116 + }, + { + "epoch": 0.86, + "learning_rate": 5.617158083016821e-07, + "loss": 2.5745, + "step": 4117 + }, + { + "epoch": 0.86, + "learning_rate": 5.600217679209741e-07, + "loss": 2.6115, + "step": 4118 + }, + { + "epoch": 0.86, + "learning_rate": 5.583301343140973e-07, + "loss": 2.6349, + "step": 4119 + }, + { + "epoch": 0.86, + "learning_rate": 5.566409083980362e-07, + "loss": 2.728, + "step": 4120 + }, + { + "epoch": 0.86, + "learning_rate": 5.549540910884649e-07, + "loss": 2.6561, + "step": 4121 + }, + { + "epoch": 0.86, + "learning_rate": 5.532696832997553e-07, + "loss": 2.6235, + "step": 4122 + }, + { + "epoch": 0.86, + "learning_rate": 5.515876859449726e-07, + "loss": 2.5549, + "step": 4123 + }, + { + "epoch": 0.87, + "learning_rate": 5.499080999358752e-07, + "loss": 2.6034, + "step": 4124 + }, + { + "epoch": 0.87, + "learning_rate": 5.482309261829149e-07, + "loss": 2.6306, + "step": 4125 + }, + { + "epoch": 0.87, + "learning_rate": 5.46556165595234e-07, + "loss": 2.642, + "step": 4126 + }, + { + "epoch": 0.87, + "learning_rate": 5.448838190806683e-07, + "loss": 2.6352, + "step": 4127 + }, + { + "epoch": 0.87, + "learning_rate": 5.432138875457465e-07, + "loss": 2.7222, + "step": 4128 + }, + { + "epoch": 0.87, + "learning_rate": 5.415463718956838e-07, + "loss": 2.642, + "step": 4129 + }, + { + "epoch": 0.87, + "learning_rate": 5.3988127303439e-07, + "loss": 2.6562, + "step": 4130 + }, + { + "epoch": 0.87, + "learning_rate": 5.382185918644639e-07, + "loss": 2.6709, + "step": 4131 + }, + { + "epoch": 0.87, + "learning_rate": 5.365583292871912e-07, + "loss": 2.7409, + "step": 4132 + }, + { + "epoch": 0.87, + "learning_rate": 5.349004862025497e-07, + "loss": 2.6233, + "step": 4133 + }, + { + "epoch": 0.87, + "learning_rate": 5.332450635092051e-07, + "loss": 2.6872, + "step": 4134 + }, + { + "epoch": 0.87, + "learning_rate": 5.31592062104509e-07, + "loss": 2.6657, + "step": 4135 + }, + { + "epoch": 0.87, + "learning_rate": 5.299414828845023e-07, + "loss": 2.6715, + "step": 4136 + }, + { + "epoch": 0.87, + "learning_rate": 5.282933267439144e-07, + "loss": 2.6631, + "step": 4137 + }, + { + "epoch": 0.87, + "learning_rate": 5.266475945761562e-07, + "loss": 2.706, + "step": 4138 + }, + { + "epoch": 0.87, + "learning_rate": 5.250042872733313e-07, + "loss": 2.6069, + "step": 4139 + }, + { + "epoch": 0.87, + "learning_rate": 5.233634057262221e-07, + "loss": 2.6797, + "step": 4140 + }, + { + "epoch": 0.87, + "learning_rate": 5.217249508243011e-07, + "loss": 2.6343, + "step": 4141 + }, + { + "epoch": 0.87, + "learning_rate": 5.200889234557238e-07, + "loss": 2.7133, + "step": 4142 + }, + { + "epoch": 0.87, + "learning_rate": 5.184553245073287e-07, + "loss": 2.6183, + "step": 4143 + }, + { + "epoch": 0.87, + "learning_rate": 5.168241548646391e-07, + "loss": 2.6072, + "step": 4144 + }, + { + "epoch": 0.87, + "learning_rate": 5.151954154118621e-07, + "loss": 2.5556, + "step": 4145 + }, + { + "epoch": 0.87, + "learning_rate": 5.135691070318855e-07, + "loss": 2.7163, + "step": 4146 + }, + { + "epoch": 0.87, + "learning_rate": 5.119452306062822e-07, + "loss": 2.6819, + "step": 4147 + }, + { + "epoch": 0.87, + "learning_rate": 5.103237870153027e-07, + "loss": 2.6788, + "step": 4148 + }, + { + "epoch": 0.87, + "learning_rate": 5.087047771378817e-07, + "loss": 2.6141, + "step": 4149 + }, + { + "epoch": 0.87, + "learning_rate": 5.070882018516348e-07, + "loss": 2.6637, + "step": 4150 + }, + { + "epoch": 0.87, + "learning_rate": 5.054740620328575e-07, + "loss": 2.694, + "step": 4151 + }, + { + "epoch": 0.87, + "learning_rate": 5.038623585565228e-07, + "loss": 2.6348, + "step": 4152 + }, + { + "epoch": 0.87, + "learning_rate": 5.022530922962859e-07, + "loss": 2.647, + "step": 4153 + }, + { + "epoch": 0.87, + "learning_rate": 5.006462641244808e-07, + "loss": 2.6979, + "step": 4154 + }, + { + "epoch": 0.87, + "learning_rate": 4.990418749121179e-07, + "loss": 2.6408, + "step": 4155 + }, + { + "epoch": 0.87, + "learning_rate": 4.974399255288859e-07, + "loss": 2.5438, + "step": 4156 + }, + { + "epoch": 0.87, + "learning_rate": 4.958404168431541e-07, + "loss": 2.6647, + "step": 4157 + }, + { + "epoch": 0.87, + "learning_rate": 4.94243349721964e-07, + "loss": 2.6854, + "step": 4158 + }, + { + "epoch": 0.87, + "learning_rate": 4.926487250310369e-07, + "loss": 2.5904, + "step": 4159 + }, + { + "epoch": 0.87, + "learning_rate": 4.910565436347687e-07, + "loss": 2.7029, + "step": 4160 + }, + { + "epoch": 0.87, + "learning_rate": 4.89466806396231e-07, + "loss": 2.7123, + "step": 4161 + }, + { + "epoch": 0.87, + "learning_rate": 4.878795141771725e-07, + "loss": 2.6605, + "step": 4162 + }, + { + "epoch": 0.87, + "learning_rate": 4.862946678380131e-07, + "loss": 2.7012, + "step": 4163 + }, + { + "epoch": 0.87, + "learning_rate": 4.847122682378491e-07, + "loss": 2.7078, + "step": 4164 + }, + { + "epoch": 0.87, + "learning_rate": 4.831323162344509e-07, + "loss": 2.6615, + "step": 4165 + }, + { + "epoch": 0.87, + "learning_rate": 4.815548126842595e-07, + "loss": 2.6579, + "step": 4166 + }, + { + "epoch": 0.87, + "learning_rate": 4.799797584423916e-07, + "loss": 2.7061, + "step": 4167 + }, + { + "epoch": 0.87, + "learning_rate": 4.784071543626356e-07, + "loss": 2.6099, + "step": 4168 + }, + { + "epoch": 0.87, + "learning_rate": 4.768370012974494e-07, + "loss": 2.682, + "step": 4169 + }, + { + "epoch": 0.87, + "learning_rate": 4.7526930009796523e-07, + "loss": 2.596, + "step": 4170 + }, + { + "epoch": 0.87, + "learning_rate": 4.737040516139846e-07, + "loss": 2.5864, + "step": 4171 + }, + { + "epoch": 0.88, + "learning_rate": 4.721412566939804e-07, + "loss": 2.6411, + "step": 4172 + }, + { + "epoch": 0.88, + "learning_rate": 4.705809161850949e-07, + "loss": 2.6552, + "step": 4173 + }, + { + "epoch": 0.88, + "learning_rate": 4.690230309331406e-07, + "loss": 2.6642, + "step": 4174 + }, + { + "epoch": 0.88, + "learning_rate": 4.674676017825974e-07, + "loss": 2.6236, + "step": 4175 + }, + { + "epoch": 0.88, + "learning_rate": 4.659146295766159e-07, + "loss": 2.6542, + "step": 4176 + }, + { + "epoch": 0.88, + "learning_rate": 4.643641151570133e-07, + "loss": 2.6023, + "step": 4177 + }, + { + "epoch": 0.88, + "learning_rate": 4.62816059364275e-07, + "loss": 2.6338, + "step": 4178 + }, + { + "epoch": 0.88, + "learning_rate": 4.612704630375553e-07, + "loss": 2.6307, + "step": 4179 + }, + { + "epoch": 0.88, + "learning_rate": 4.5972732701467124e-07, + "loss": 2.5851, + "step": 4180 + }, + { + "epoch": 0.88, + "learning_rate": 4.58186652132111e-07, + "loss": 2.6266, + "step": 4181 + }, + { + "epoch": 0.88, + "learning_rate": 4.566484392250259e-07, + "loss": 2.6136, + "step": 4182 + }, + { + "epoch": 0.88, + "learning_rate": 4.5511268912723225e-07, + "loss": 2.6516, + "step": 4183 + }, + { + "epoch": 0.88, + "learning_rate": 4.535794026712131e-07, + "loss": 2.5788, + "step": 4184 + }, + { + "epoch": 0.88, + "learning_rate": 4.520485806881164e-07, + "loss": 2.6663, + "step": 4185 + }, + { + "epoch": 0.88, + "learning_rate": 4.505202240077505e-07, + "loss": 2.6667, + "step": 4186 + }, + { + "epoch": 0.88, + "learning_rate": 4.489943334585917e-07, + "loss": 2.6469, + "step": 4187 + }, + { + "epoch": 0.88, + "learning_rate": 4.474709098677776e-07, + "loss": 2.6479, + "step": 4188 + }, + { + "epoch": 0.88, + "learning_rate": 4.4594995406110785e-07, + "loss": 2.6029, + "step": 4189 + }, + { + "epoch": 0.88, + "learning_rate": 4.444314668630456e-07, + "loss": 2.6566, + "step": 4190 + }, + { + "epoch": 0.88, + "learning_rate": 4.4291544909671635e-07, + "loss": 2.6771, + "step": 4191 + }, + { + "epoch": 0.88, + "learning_rate": 4.4140190158390384e-07, + "loss": 2.5748, + "step": 4192 + }, + { + "epoch": 0.88, + "learning_rate": 4.3989082514505734e-07, + "loss": 2.6658, + "step": 4193 + }, + { + "epoch": 0.88, + "learning_rate": 4.383822205992827e-07, + "loss": 2.5816, + "step": 4194 + }, + { + "epoch": 0.88, + "learning_rate": 4.3687608876434805e-07, + "loss": 2.65, + "step": 4195 + }, + { + "epoch": 0.88, + "learning_rate": 4.35372430456682e-07, + "loss": 2.5803, + "step": 4196 + }, + { + "epoch": 0.88, + "learning_rate": 4.33871246491368e-07, + "loss": 2.6309, + "step": 4197 + }, + { + "epoch": 0.88, + "learning_rate": 4.3237253768215305e-07, + "loss": 2.6481, + "step": 4198 + }, + { + "epoch": 0.88, + "learning_rate": 4.308763048414405e-07, + "loss": 2.6187, + "step": 4199 + }, + { + "epoch": 0.88, + "learning_rate": 4.2938254878028996e-07, + "loss": 2.6347, + "step": 4200 + }, + { + "epoch": 0.88, + "learning_rate": 4.278912703084215e-07, + "loss": 2.6244, + "step": 4201 + }, + { + "epoch": 0.88, + "learning_rate": 4.2640247023421066e-07, + "loss": 2.5901, + "step": 4202 + }, + { + "epoch": 0.88, + "learning_rate": 4.2491614936468864e-07, + "loss": 2.6698, + "step": 4203 + }, + { + "epoch": 0.88, + "learning_rate": 4.234323085055442e-07, + "loss": 2.6288, + "step": 4204 + }, + { + "epoch": 0.88, + "learning_rate": 4.219509484611223e-07, + "loss": 2.6222, + "step": 4205 + }, + { + "epoch": 0.88, + "learning_rate": 4.2047207003442003e-07, + "loss": 2.6254, + "step": 4206 + }, + { + "epoch": 0.88, + "learning_rate": 4.189956740270917e-07, + "loss": 2.6958, + "step": 4207 + }, + { + "epoch": 0.88, + "learning_rate": 4.175217612394478e-07, + "loss": 2.6374, + "step": 4208 + }, + { + "epoch": 0.88, + "learning_rate": 4.1605033247044735e-07, + "loss": 2.6769, + "step": 4209 + }, + { + "epoch": 0.88, + "learning_rate": 4.14581388517708e-07, + "loss": 2.639, + "step": 4210 + }, + { + "epoch": 0.88, + "learning_rate": 4.1311493017749894e-07, + "loss": 2.6535, + "step": 4211 + }, + { + "epoch": 0.88, + "learning_rate": 4.116509582447392e-07, + "loss": 2.6416, + "step": 4212 + }, + { + "epoch": 0.88, + "learning_rate": 4.101894735130052e-07, + "loss": 2.6811, + "step": 4213 + }, + { + "epoch": 0.88, + "learning_rate": 4.0873047677451985e-07, + "loss": 2.6904, + "step": 4214 + }, + { + "epoch": 0.88, + "learning_rate": 4.0727396882016047e-07, + "loss": 2.7131, + "step": 4215 + }, + { + "epoch": 0.88, + "learning_rate": 4.058199504394561e-07, + "loss": 2.7162, + "step": 4216 + }, + { + "epoch": 0.88, + "learning_rate": 4.0436842242058236e-07, + "loss": 2.6095, + "step": 4217 + }, + { + "epoch": 0.88, + "learning_rate": 4.0291938555036935e-07, + "loss": 2.5522, + "step": 4218 + }, + { + "epoch": 0.88, + "learning_rate": 4.014728406142937e-07, + "loss": 2.7107, + "step": 4219 + }, + { + "epoch": 0.89, + "learning_rate": 4.0002878839648264e-07, + "loss": 2.6354, + "step": 4220 + }, + { + "epoch": 0.89, + "learning_rate": 3.985872296797122e-07, + "loss": 2.6029, + "step": 4221 + }, + { + "epoch": 0.89, + "learning_rate": 3.9714816524540677e-07, + "loss": 2.6472, + "step": 4222 + }, + { + "epoch": 0.89, + "learning_rate": 3.957115958736374e-07, + "loss": 2.6143, + "step": 4223 + }, + { + "epoch": 0.89, + "learning_rate": 3.942775223431233e-07, + "loss": 2.5929, + "step": 4224 + }, + { + "epoch": 0.89, + "learning_rate": 3.9284594543123335e-07, + "loss": 2.6331, + "step": 4225 + }, + { + "epoch": 0.89, + "learning_rate": 3.914168659139778e-07, + "loss": 2.71, + "step": 4226 + }, + { + "epoch": 0.89, + "learning_rate": 3.8999028456601694e-07, + "loss": 2.6871, + "step": 4227 + }, + { + "epoch": 0.89, + "learning_rate": 3.885662021606579e-07, + "loss": 2.7003, + "step": 4228 + }, + { + "epoch": 0.89, + "learning_rate": 3.8714461946984916e-07, + "loss": 2.6506, + "step": 4229 + }, + { + "epoch": 0.89, + "learning_rate": 3.8572553726418715e-07, + "loss": 2.6583, + "step": 4230 + }, + { + "epoch": 0.89, + "learning_rate": 3.843089563129132e-07, + "loss": 2.6391, + "step": 4231 + }, + { + "epoch": 0.89, + "learning_rate": 3.828948773839103e-07, + "loss": 2.5746, + "step": 4232 + }, + { + "epoch": 0.89, + "learning_rate": 3.814833012437069e-07, + "loss": 2.6991, + "step": 4233 + }, + { + "epoch": 0.89, + "learning_rate": 3.8007422865747436e-07, + "loss": 2.5906, + "step": 4234 + }, + { + "epoch": 0.89, + "learning_rate": 3.786676603890271e-07, + "loss": 2.6523, + "step": 4235 + }, + { + "epoch": 0.89, + "learning_rate": 3.772635972008226e-07, + "loss": 2.6654, + "step": 4236 + }, + { + "epoch": 0.89, + "learning_rate": 3.758620398539586e-07, + "loss": 2.6121, + "step": 4237 + }, + { + "epoch": 0.89, + "learning_rate": 3.744629891081758e-07, + "loss": 2.6096, + "step": 4238 + }, + { + "epoch": 0.89, + "learning_rate": 3.73066445721858e-07, + "loss": 2.6386, + "step": 4239 + }, + { + "epoch": 0.89, + "learning_rate": 3.7167241045202474e-07, + "loss": 2.6836, + "step": 4240 + }, + { + "epoch": 0.89, + "learning_rate": 3.702808840543409e-07, + "loss": 2.6644, + "step": 4241 + }, + { + "epoch": 0.89, + "learning_rate": 3.6889186728310934e-07, + "loss": 2.6275, + "step": 4242 + }, + { + "epoch": 0.89, + "learning_rate": 3.675053608912732e-07, + "loss": 2.6311, + "step": 4243 + }, + { + "epoch": 0.89, + "learning_rate": 3.661213656304141e-07, + "loss": 2.6489, + "step": 4244 + }, + { + "epoch": 0.89, + "learning_rate": 3.6473988225075195e-07, + "loss": 2.6295, + "step": 4245 + }, + { + "epoch": 0.89, + "learning_rate": 3.633609115011466e-07, + "loss": 2.6659, + "step": 4246 + }, + { + "epoch": 0.89, + "learning_rate": 3.619844541290951e-07, + "loss": 2.59, + "step": 4247 + }, + { + "epoch": 0.89, + "learning_rate": 3.606105108807323e-07, + "loss": 2.6024, + "step": 4248 + }, + { + "epoch": 0.89, + "learning_rate": 3.5923908250082907e-07, + "loss": 2.5795, + "step": 4249 + }, + { + "epoch": 0.89, + "learning_rate": 3.578701697327952e-07, + "loss": 2.6602, + "step": 4250 + }, + { + "epoch": 0.89, + "learning_rate": 3.5650377331867494e-07, + "loss": 2.6508, + "step": 4251 + }, + { + "epoch": 0.89, + "learning_rate": 3.551398939991491e-07, + "loss": 2.5966, + "step": 4252 + }, + { + "epoch": 0.89, + "learning_rate": 3.537785325135351e-07, + "loss": 2.6318, + "step": 4253 + }, + { + "epoch": 0.89, + "learning_rate": 3.5241968959978335e-07, + "loss": 2.6094, + "step": 4254 + }, + { + "epoch": 0.89, + "learning_rate": 3.510633659944801e-07, + "loss": 2.609, + "step": 4255 + }, + { + "epoch": 0.89, + "learning_rate": 3.4970956243284784e-07, + "loss": 2.6149, + "step": 4256 + }, + { + "epoch": 0.89, + "learning_rate": 3.483582796487395e-07, + "loss": 2.579, + "step": 4257 + }, + { + "epoch": 0.89, + "learning_rate": 3.4700951837464414e-07, + "loss": 2.6345, + "step": 4258 + }, + { + "epoch": 0.89, + "learning_rate": 3.4566327934168364e-07, + "loss": 2.7233, + "step": 4259 + }, + { + "epoch": 0.89, + "learning_rate": 3.4431956327961146e-07, + "loss": 2.7268, + "step": 4260 + }, + { + "epoch": 0.89, + "learning_rate": 3.4297837091681383e-07, + "loss": 2.637, + "step": 4261 + }, + { + "epoch": 0.89, + "learning_rate": 3.416397029803115e-07, + "loss": 2.6729, + "step": 4262 + }, + { + "epoch": 0.89, + "learning_rate": 3.4030356019575164e-07, + "loss": 2.6956, + "step": 4263 + }, + { + "epoch": 0.89, + "learning_rate": 3.3896994328741774e-07, + "loss": 2.6837, + "step": 4264 + }, + { + "epoch": 0.89, + "learning_rate": 3.3763885297822153e-07, + "loss": 2.6677, + "step": 4265 + }, + { + "epoch": 0.89, + "learning_rate": 3.363102899897053e-07, + "loss": 2.6283, + "step": 4266 + }, + { + "epoch": 0.9, + "learning_rate": 3.3498425504204124e-07, + "loss": 2.639, + "step": 4267 + }, + { + "epoch": 0.9, + "learning_rate": 3.3366074885403166e-07, + "loss": 2.5631, + "step": 4268 + }, + { + "epoch": 0.9, + "learning_rate": 3.3233977214310875e-07, + "loss": 2.6708, + "step": 4269 + }, + { + "epoch": 0.9, + "learning_rate": 3.310213256253336e-07, + "loss": 2.5692, + "step": 4270 + }, + { + "epoch": 0.9, + "learning_rate": 3.297054100153929e-07, + "loss": 2.6286, + "step": 4271 + }, + { + "epoch": 0.9, + "learning_rate": 3.2839202602660433e-07, + "loss": 2.6371, + "step": 4272 + }, + { + "epoch": 0.9, + "learning_rate": 3.2708117437091346e-07, + "loss": 2.6667, + "step": 4273 + }, + { + "epoch": 0.9, + "learning_rate": 3.257728557588902e-07, + "loss": 2.5971, + "step": 4274 + }, + { + "epoch": 0.9, + "learning_rate": 3.244670708997344e-07, + "loss": 2.7, + "step": 4275 + }, + { + "epoch": 0.9, + "learning_rate": 3.2316382050127217e-07, + "loss": 2.6517, + "step": 4276 + }, + { + "epoch": 0.9, + "learning_rate": 3.218631052699528e-07, + "loss": 2.6369, + "step": 4277 + }, + { + "epoch": 0.9, + "learning_rate": 3.205649259108551e-07, + "loss": 2.6521, + "step": 4278 + }, + { + "epoch": 0.9, + "learning_rate": 3.1926928312768166e-07, + "loss": 2.6958, + "step": 4279 + }, + { + "epoch": 0.9, + "learning_rate": 3.179761776227591e-07, + "loss": 2.6608, + "step": 4280 + }, + { + "epoch": 0.9, + "learning_rate": 3.1668561009704003e-07, + "loss": 2.6723, + "step": 4281 + }, + { + "epoch": 0.9, + "learning_rate": 3.15397581250102e-07, + "loss": 2.5899, + "step": 4282 + }, + { + "epoch": 0.9, + "learning_rate": 3.1411209178014324e-07, + "loss": 2.6905, + "step": 4283 + }, + { + "epoch": 0.9, + "learning_rate": 3.128291423839891e-07, + "loss": 2.5977, + "step": 4284 + }, + { + "epoch": 0.9, + "learning_rate": 3.1154873375708606e-07, + "loss": 2.641, + "step": 4285 + }, + { + "epoch": 0.9, + "learning_rate": 3.1027086659350334e-07, + "loss": 2.6483, + "step": 4286 + }, + { + "epoch": 0.9, + "learning_rate": 3.0899554158593303e-07, + "loss": 2.6286, + "step": 4287 + }, + { + "epoch": 0.9, + "learning_rate": 3.0772275942568986e-07, + "loss": 2.6465, + "step": 4288 + }, + { + "epoch": 0.9, + "learning_rate": 3.0645252080270806e-07, + "loss": 2.6136, + "step": 4289 + }, + { + "epoch": 0.9, + "learning_rate": 3.0518482640554515e-07, + "loss": 2.6265, + "step": 4290 + }, + { + "epoch": 0.9, + "learning_rate": 3.039196769213787e-07, + "loss": 2.6827, + "step": 4291 + }, + { + "epoch": 0.9, + "learning_rate": 3.026570730360079e-07, + "loss": 2.5709, + "step": 4292 + }, + { + "epoch": 0.9, + "learning_rate": 3.013970154338486e-07, + "loss": 2.6567, + "step": 4293 + }, + { + "epoch": 0.9, + "learning_rate": 3.001395047979405e-07, + "loss": 2.6182, + "step": 4294 + }, + { + "epoch": 0.9, + "learning_rate": 2.988845418099401e-07, + "loss": 2.6476, + "step": 4295 + }, + { + "epoch": 0.9, + "learning_rate": 2.9763212715012535e-07, + "loss": 2.6589, + "step": 4296 + }, + { + "epoch": 0.9, + "learning_rate": 2.963822614973888e-07, + "loss": 2.7302, + "step": 4297 + }, + { + "epoch": 0.9, + "learning_rate": 2.951349455292446e-07, + "loss": 2.702, + "step": 4298 + }, + { + "epoch": 0.9, + "learning_rate": 2.938901799218252e-07, + "loss": 2.7167, + "step": 4299 + }, + { + "epoch": 0.9, + "learning_rate": 2.926479653498776e-07, + "loss": 2.7049, + "step": 4300 + }, + { + "epoch": 0.9, + "learning_rate": 2.914083024867681e-07, + "loss": 2.6505, + "step": 4301 + }, + { + "epoch": 0.9, + "learning_rate": 2.9017119200447974e-07, + "loss": 2.7217, + "step": 4302 + }, + { + "epoch": 0.9, + "learning_rate": 2.8893663457361056e-07, + "loss": 2.6952, + "step": 4303 + }, + { + "epoch": 0.9, + "learning_rate": 2.877046308633763e-07, + "loss": 2.6816, + "step": 4304 + }, + { + "epoch": 0.9, + "learning_rate": 2.864751815416084e-07, + "loss": 2.6828, + "step": 4305 + }, + { + "epoch": 0.9, + "learning_rate": 2.8524828727475194e-07, + "loss": 2.6701, + "step": 4306 + }, + { + "epoch": 0.9, + "learning_rate": 2.8402394872786896e-07, + "loss": 2.6651, + "step": 4307 + }, + { + "epoch": 0.9, + "learning_rate": 2.828021665646341e-07, + "loss": 2.6446, + "step": 4308 + }, + { + "epoch": 0.9, + "learning_rate": 2.815829414473381e-07, + "loss": 2.6866, + "step": 4309 + }, + { + "epoch": 0.9, + "learning_rate": 2.8036627403688564e-07, + "loss": 2.6452, + "step": 4310 + }, + { + "epoch": 0.9, + "learning_rate": 2.791521649927925e-07, + "loss": 2.6822, + "step": 4311 + }, + { + "epoch": 0.9, + "learning_rate": 2.779406149731906e-07, + "loss": 2.6008, + "step": 4312 + }, + { + "epoch": 0.9, + "learning_rate": 2.767316246348234e-07, + "loss": 2.647, + "step": 4313 + }, + { + "epoch": 0.9, + "learning_rate": 2.755251946330467e-07, + "loss": 2.671, + "step": 4314 + }, + { + "epoch": 0.91, + "learning_rate": 2.74321325621828e-07, + "loss": 2.6641, + "step": 4315 + }, + { + "epoch": 0.91, + "learning_rate": 2.7312001825374747e-07, + "loss": 2.6177, + "step": 4316 + }, + { + "epoch": 0.91, + "learning_rate": 2.7192127317999696e-07, + "loss": 2.6428, + "step": 4317 + }, + { + "epoch": 0.91, + "learning_rate": 2.7072509105037837e-07, + "loss": 2.6535, + "step": 4318 + }, + { + "epoch": 0.91, + "learning_rate": 2.6953147251330583e-07, + "loss": 2.6949, + "step": 4319 + }, + { + "epoch": 0.91, + "learning_rate": 2.6834041821580114e-07, + "loss": 2.6725, + "step": 4320 + }, + { + "epoch": 0.91, + "learning_rate": 2.6715192880349795e-07, + "loss": 2.6113, + "step": 4321 + }, + { + "epoch": 0.91, + "learning_rate": 2.6596600492064085e-07, + "loss": 2.6449, + "step": 4322 + }, + { + "epoch": 0.91, + "learning_rate": 2.647826472100806e-07, + "loss": 2.6857, + "step": 4323 + }, + { + "epoch": 0.91, + "learning_rate": 2.636018563132786e-07, + "loss": 2.6263, + "step": 4324 + }, + { + "epoch": 0.91, + "learning_rate": 2.6242363287030617e-07, + "loss": 2.6337, + "step": 4325 + }, + { + "epoch": 0.91, + "learning_rate": 2.6124797751983953e-07, + "loss": 2.6961, + "step": 4326 + }, + { + "epoch": 0.91, + "learning_rate": 2.600748908991674e-07, + "loss": 2.6535, + "step": 4327 + }, + { + "epoch": 0.91, + "learning_rate": 2.589043736441804e-07, + "loss": 2.65, + "step": 4328 + }, + { + "epoch": 0.91, + "learning_rate": 2.5773642638938166e-07, + "loss": 2.6328, + "step": 4329 + }, + { + "epoch": 0.91, + "learning_rate": 2.565710497678786e-07, + "loss": 2.6753, + "step": 4330 + }, + { + "epoch": 0.91, + "learning_rate": 2.554082444113848e-07, + "loss": 2.6551, + "step": 4331 + }, + { + "epoch": 0.91, + "learning_rate": 2.5424801095022154e-07, + "loss": 2.6504, + "step": 4332 + }, + { + "epoch": 0.91, + "learning_rate": 2.530903500133153e-07, + "loss": 2.5852, + "step": 4333 + }, + { + "epoch": 0.91, + "learning_rate": 2.5193526222819733e-07, + "loss": 2.6636, + "step": 4334 + }, + { + "epoch": 0.91, + "learning_rate": 2.507827482210051e-07, + "loss": 2.6715, + "step": 4335 + }, + { + "epoch": 0.91, + "learning_rate": 2.496328086164812e-07, + "loss": 2.6208, + "step": 4336 + }, + { + "epoch": 0.91, + "learning_rate": 2.484854440379708e-07, + "loss": 2.6579, + "step": 4337 + }, + { + "epoch": 0.91, + "learning_rate": 2.473406551074248e-07, + "loss": 2.6694, + "step": 4338 + }, + { + "epoch": 0.91, + "learning_rate": 2.461984424453978e-07, + "loss": 2.5841, + "step": 4339 + }, + { + "epoch": 0.91, + "learning_rate": 2.450588066710485e-07, + "loss": 2.7186, + "step": 4340 + }, + { + "epoch": 0.91, + "learning_rate": 2.439217484021367e-07, + "loss": 2.6409, + "step": 4341 + }, + { + "epoch": 0.91, + "learning_rate": 2.4278726825502696e-07, + "loss": 2.6504, + "step": 4342 + }, + { + "epoch": 0.91, + "learning_rate": 2.416553668446847e-07, + "loss": 2.5554, + "step": 4343 + }, + { + "epoch": 0.91, + "learning_rate": 2.4052604478467967e-07, + "loss": 2.6588, + "step": 4344 + }, + { + "epoch": 0.91, + "learning_rate": 2.3939930268718216e-07, + "loss": 2.6393, + "step": 4345 + }, + { + "epoch": 0.91, + "learning_rate": 2.3827514116296246e-07, + "loss": 2.6986, + "step": 4346 + }, + { + "epoch": 0.91, + "learning_rate": 2.371535608213954e-07, + "loss": 2.6887, + "step": 4347 + }, + { + "epoch": 0.91, + "learning_rate": 2.3603456227045297e-07, + "loss": 2.7137, + "step": 4348 + }, + { + "epoch": 0.91, + "learning_rate": 2.3491814611671049e-07, + "loss": 2.717, + "step": 4349 + }, + { + "epoch": 0.91, + "learning_rate": 2.3380431296534224e-07, + "loss": 2.6969, + "step": 4350 + }, + { + "epoch": 0.91, + "learning_rate": 2.3269306342012188e-07, + "loss": 2.673, + "step": 4351 + }, + { + "epoch": 0.91, + "learning_rate": 2.315843980834237e-07, + "loss": 2.6752, + "step": 4352 + }, + { + "epoch": 0.91, + "learning_rate": 2.3047831755622085e-07, + "loss": 2.6429, + "step": 4353 + }, + { + "epoch": 0.91, + "learning_rate": 2.293748224380843e-07, + "loss": 2.6342, + "step": 4354 + }, + { + "epoch": 0.91, + "learning_rate": 2.2827391332718495e-07, + "loss": 2.6966, + "step": 4355 + }, + { + "epoch": 0.91, + "learning_rate": 2.271755908202916e-07, + "loss": 2.5888, + "step": 4356 + }, + { + "epoch": 0.91, + "learning_rate": 2.2607985551276969e-07, + "loss": 2.5794, + "step": 4357 + }, + { + "epoch": 0.91, + "learning_rate": 2.2498670799858347e-07, + "loss": 2.6297, + "step": 4358 + }, + { + "epoch": 0.91, + "learning_rate": 2.2389614887029564e-07, + "loss": 2.5724, + "step": 4359 + }, + { + "epoch": 0.91, + "learning_rate": 2.2280817871906168e-07, + "loss": 2.6199, + "step": 4360 + }, + { + "epoch": 0.91, + "learning_rate": 2.2172279813463815e-07, + "loss": 2.7195, + "step": 4361 + }, + { + "epoch": 0.91, + "learning_rate": 2.2064000770537663e-07, + "loss": 2.6343, + "step": 4362 + }, + { + "epoch": 0.92, + "learning_rate": 2.1955980801822207e-07, + "loss": 2.648, + "step": 4363 + }, + { + "epoch": 0.92, + "learning_rate": 2.1848219965871774e-07, + "loss": 2.6706, + "step": 4364 + }, + { + "epoch": 0.92, + "learning_rate": 2.1740718321100195e-07, + "loss": 2.662, + "step": 4365 + }, + { + "epoch": 0.92, + "learning_rate": 2.1633475925780746e-07, + "loss": 2.6595, + "step": 4366 + }, + { + "epoch": 0.92, + "learning_rate": 2.1526492838046308e-07, + "loss": 2.6577, + "step": 4367 + }, + { + "epoch": 0.92, + "learning_rate": 2.1419769115888833e-07, + "loss": 2.5576, + "step": 4368 + }, + { + "epoch": 0.92, + "learning_rate": 2.1313304817160096e-07, + "loss": 2.5673, + "step": 4369 + }, + { + "epoch": 0.92, + "learning_rate": 2.1207099999571102e-07, + "loss": 2.6389, + "step": 4370 + }, + { + "epoch": 0.92, + "learning_rate": 2.1101154720692018e-07, + "loss": 2.644, + "step": 4371 + }, + { + "epoch": 0.92, + "learning_rate": 2.099546903795252e-07, + "loss": 2.6271, + "step": 4372 + }, + { + "epoch": 0.92, + "learning_rate": 2.0890043008641726e-07, + "loss": 2.6223, + "step": 4373 + }, + { + "epoch": 0.92, + "learning_rate": 2.0784876689907528e-07, + "loss": 2.6358, + "step": 4374 + }, + { + "epoch": 0.92, + "learning_rate": 2.0679970138757387e-07, + "loss": 2.6096, + "step": 4375 + }, + { + "epoch": 0.92, + "learning_rate": 2.0575323412058036e-07, + "loss": 2.5712, + "step": 4376 + }, + { + "epoch": 0.92, + "learning_rate": 2.0470936566534982e-07, + "loss": 2.6439, + "step": 4377 + }, + { + "epoch": 0.92, + "learning_rate": 2.036680965877319e-07, + "loss": 2.7107, + "step": 4378 + }, + { + "epoch": 0.92, + "learning_rate": 2.0262942745216675e-07, + "loss": 2.6368, + "step": 4379 + }, + { + "epoch": 0.92, + "learning_rate": 2.015933588216834e-07, + "loss": 2.6632, + "step": 4380 + }, + { + "epoch": 0.92, + "learning_rate": 2.0055989125790265e-07, + "loss": 2.6747, + "step": 4381 + }, + { + "epoch": 0.92, + "learning_rate": 1.9952902532103525e-07, + "loss": 2.6731, + "step": 4382 + }, + { + "epoch": 0.92, + "learning_rate": 1.985007615698814e-07, + "loss": 2.6254, + "step": 4383 + }, + { + "epoch": 0.92, + "learning_rate": 1.974751005618314e-07, + "loss": 2.5954, + "step": 4384 + }, + { + "epoch": 0.92, + "learning_rate": 1.964520428528627e-07, + "loss": 2.6102, + "step": 4385 + }, + { + "epoch": 0.92, + "learning_rate": 1.9543158899754389e-07, + "loss": 2.6206, + "step": 4386 + }, + { + "epoch": 0.92, + "learning_rate": 1.9441373954903142e-07, + "loss": 2.6167, + "step": 4387 + }, + { + "epoch": 0.92, + "learning_rate": 1.9339849505907006e-07, + "loss": 2.62, + "step": 4388 + }, + { + "epoch": 0.92, + "learning_rate": 1.9238585607799121e-07, + "loss": 2.6131, + "step": 4389 + }, + { + "epoch": 0.92, + "learning_rate": 1.9137582315471525e-07, + "loss": 2.6473, + "step": 4390 + }, + { + "epoch": 0.92, + "learning_rate": 1.903683968367498e-07, + "loss": 2.642, + "step": 4391 + }, + { + "epoch": 0.92, + "learning_rate": 1.893635776701891e-07, + "loss": 2.7174, + "step": 4392 + }, + { + "epoch": 0.92, + "learning_rate": 1.8836136619971468e-07, + "loss": 2.6709, + "step": 4393 + }, + { + "epoch": 0.92, + "learning_rate": 1.8736176296859365e-07, + "loss": 2.6626, + "step": 4394 + }, + { + "epoch": 0.92, + "learning_rate": 1.8636476851867924e-07, + "loss": 2.7001, + "step": 4395 + }, + { + "epoch": 0.92, + "learning_rate": 1.8537038339041303e-07, + "loss": 2.6842, + "step": 4396 + }, + { + "epoch": 0.92, + "learning_rate": 1.8437860812281826e-07, + "loss": 2.5388, + "step": 4397 + }, + { + "epoch": 0.92, + "learning_rate": 1.8338944325350605e-07, + "loss": 2.682, + "step": 4398 + }, + { + "epoch": 0.92, + "learning_rate": 1.8240288931867245e-07, + "loss": 2.6417, + "step": 4399 + }, + { + "epoch": 0.92, + "learning_rate": 1.8141894685309636e-07, + "loss": 2.6708, + "step": 4400 + }, + { + "epoch": 0.92, + "learning_rate": 1.8043761639014335e-07, + "loss": 2.6089, + "step": 4401 + }, + { + "epoch": 0.92, + "learning_rate": 1.7945889846176178e-07, + "loss": 2.6047, + "step": 4402 + }, + { + "epoch": 0.92, + "learning_rate": 1.7848279359848343e-07, + "loss": 2.6527, + "step": 4403 + }, + { + "epoch": 0.92, + "learning_rate": 1.7750930232942608e-07, + "loss": 2.5918, + "step": 4404 + }, + { + "epoch": 0.92, + "learning_rate": 1.7653842518228715e-07, + "loss": 2.6136, + "step": 4405 + }, + { + "epoch": 0.92, + "learning_rate": 1.7557016268334948e-07, + "loss": 2.6171, + "step": 4406 + }, + { + "epoch": 0.92, + "learning_rate": 1.746045153574788e-07, + "loss": 2.7161, + "step": 4407 + }, + { + "epoch": 0.92, + "learning_rate": 1.736414837281214e-07, + "loss": 2.6197, + "step": 4408 + }, + { + "epoch": 0.92, + "learning_rate": 1.726810683173069e-07, + "loss": 2.6638, + "step": 4409 + }, + { + "epoch": 0.93, + "learning_rate": 1.7172326964564777e-07, + "loss": 2.6972, + "step": 4410 + }, + { + "epoch": 0.93, + "learning_rate": 1.7076808823233482e-07, + "loss": 2.6404, + "step": 4411 + }, + { + "epoch": 0.93, + "learning_rate": 1.6981552459514328e-07, + "loss": 2.5847, + "step": 4412 + }, + { + "epoch": 0.93, + "learning_rate": 1.6886557925042845e-07, + "loss": 2.5849, + "step": 4413 + }, + { + "epoch": 0.93, + "learning_rate": 1.679182527131251e-07, + "loss": 2.6095, + "step": 4414 + }, + { + "epoch": 0.93, + "learning_rate": 1.6697354549675082e-07, + "loss": 2.6298, + "step": 4415 + }, + { + "epoch": 0.93, + "learning_rate": 1.6603145811340094e-07, + "loss": 2.6742, + "step": 4416 + }, + { + "epoch": 0.93, + "learning_rate": 1.650919910737514e-07, + "loss": 2.6703, + "step": 4417 + }, + { + "epoch": 0.93, + "learning_rate": 1.6415514488705874e-07, + "loss": 2.6966, + "step": 4418 + }, + { + "epoch": 0.93, + "learning_rate": 1.6322092006115843e-07, + "loss": 2.6628, + "step": 4419 + }, + { + "epoch": 0.93, + "learning_rate": 1.6228931710246366e-07, + "loss": 2.6681, + "step": 4420 + }, + { + "epoch": 0.93, + "learning_rate": 1.6136033651596828e-07, + "loss": 2.6694, + "step": 4421 + }, + { + "epoch": 0.93, + "learning_rate": 1.6043397880524224e-07, + "loss": 2.6259, + "step": 4422 + }, + { + "epoch": 0.93, + "learning_rate": 1.5951024447243614e-07, + "loss": 2.593, + "step": 4423 + }, + { + "epoch": 0.93, + "learning_rate": 1.5858913401827881e-07, + "loss": 2.6884, + "step": 4424 + }, + { + "epoch": 0.93, + "learning_rate": 1.576706479420731e-07, + "loss": 2.6749, + "step": 4425 + }, + { + "epoch": 0.93, + "learning_rate": 1.5675478674170297e-07, + "loss": 2.6519, + "step": 4426 + }, + { + "epoch": 0.93, + "learning_rate": 1.5584155091362907e-07, + "loss": 2.6452, + "step": 4427 + }, + { + "epoch": 0.93, + "learning_rate": 1.5493094095288596e-07, + "loss": 2.6719, + "step": 4428 + }, + { + "epoch": 0.93, + "learning_rate": 1.540229573530888e-07, + "loss": 2.6502, + "step": 4429 + }, + { + "epoch": 0.93, + "learning_rate": 1.5311760060642666e-07, + "loss": 2.5696, + "step": 4430 + }, + { + "epoch": 0.93, + "learning_rate": 1.5221487120366417e-07, + "loss": 2.7013, + "step": 4431 + }, + { + "epoch": 0.93, + "learning_rate": 1.5131476963414438e-07, + "loss": 2.5874, + "step": 4432 + }, + { + "epoch": 0.93, + "learning_rate": 1.5041729638578362e-07, + "loss": 2.7409, + "step": 4433 + }, + { + "epoch": 0.93, + "learning_rate": 1.4952245194507386e-07, + "loss": 2.6452, + "step": 4434 + }, + { + "epoch": 0.93, + "learning_rate": 1.486302367970832e-07, + "loss": 2.6097, + "step": 4435 + }, + { + "epoch": 0.93, + "learning_rate": 1.4774065142545314e-07, + "loss": 2.6065, + "step": 4436 + }, + { + "epoch": 0.93, + "learning_rate": 1.4685369631239955e-07, + "loss": 2.7001, + "step": 4437 + }, + { + "epoch": 0.93, + "learning_rate": 1.4596937193871452e-07, + "loss": 2.6408, + "step": 4438 + }, + { + "epoch": 0.93, + "learning_rate": 1.4508767878376129e-07, + "loss": 2.6882, + "step": 4439 + }, + { + "epoch": 0.93, + "learning_rate": 1.442086173254792e-07, + "loss": 2.6474, + "step": 4440 + }, + { + "epoch": 0.93, + "learning_rate": 1.433321880403804e-07, + "loss": 2.633, + "step": 4441 + }, + { + "epoch": 0.93, + "learning_rate": 1.4245839140354935e-07, + "loss": 2.6962, + "step": 4442 + }, + { + "epoch": 0.93, + "learning_rate": 1.4158722788864321e-07, + "loss": 2.6498, + "step": 4443 + }, + { + "epoch": 0.93, + "learning_rate": 1.4071869796789427e-07, + "loss": 2.6638, + "step": 4444 + }, + { + "epoch": 0.93, + "learning_rate": 1.3985280211210372e-07, + "loss": 2.6981, + "step": 4445 + }, + { + "epoch": 0.93, + "learning_rate": 1.389895407906483e-07, + "loss": 2.6447, + "step": 4446 + }, + { + "epoch": 0.93, + "learning_rate": 1.3812891447147425e-07, + "loss": 2.683, + "step": 4447 + }, + { + "epoch": 0.93, + "learning_rate": 1.3727092362110006e-07, + "loss": 2.6165, + "step": 4448 + }, + { + "epoch": 0.93, + "learning_rate": 1.3641556870461591e-07, + "loss": 2.6831, + "step": 4449 + }, + { + "epoch": 0.93, + "learning_rate": 1.3556285018568428e-07, + "loss": 2.6065, + "step": 4450 + }, + { + "epoch": 0.93, + "learning_rate": 1.3471276852653593e-07, + "loss": 2.6637, + "step": 4451 + }, + { + "epoch": 0.93, + "learning_rate": 1.3386532418797337e-07, + "loss": 2.6309, + "step": 4452 + }, + { + "epoch": 0.93, + "learning_rate": 1.330205176293714e-07, + "loss": 2.5735, + "step": 4453 + }, + { + "epoch": 0.93, + "learning_rate": 1.3217834930867202e-07, + "loss": 2.6687, + "step": 4454 + }, + { + "epoch": 0.93, + "learning_rate": 1.3133881968238836e-07, + "loss": 2.6913, + "step": 4455 + }, + { + "epoch": 0.93, + "learning_rate": 1.3050192920560422e-07, + "loss": 2.6235, + "step": 4456 + }, + { + "epoch": 0.93, + "learning_rate": 1.2966767833197113e-07, + "loss": 2.6435, + "step": 4457 + }, + { + "epoch": 0.94, + "learning_rate": 1.288360675137107e-07, + "loss": 2.5979, + "step": 4458 + }, + { + "epoch": 0.94, + "learning_rate": 1.2800709720161287e-07, + "loss": 2.6257, + "step": 4459 + }, + { + "epoch": 0.94, + "learning_rate": 1.2718076784503708e-07, + "loss": 2.6292, + "step": 4460 + }, + { + "epoch": 0.94, + "learning_rate": 1.263570798919106e-07, + "loss": 2.685, + "step": 4461 + }, + { + "epoch": 0.94, + "learning_rate": 1.2553603378872903e-07, + "loss": 2.63, + "step": 4462 + }, + { + "epoch": 0.94, + "learning_rate": 1.247176299805558e-07, + "loss": 2.6498, + "step": 4463 + }, + { + "epoch": 0.94, + "learning_rate": 1.2390186891102217e-07, + "loss": 2.6396, + "step": 4464 + }, + { + "epoch": 0.94, + "learning_rate": 1.2308875102232664e-07, + "loss": 2.631, + "step": 4465 + }, + { + "epoch": 0.94, + "learning_rate": 1.2227827675523551e-07, + "loss": 2.6362, + "step": 4466 + }, + { + "epoch": 0.94, + "learning_rate": 1.2147044654908124e-07, + "loss": 2.6315, + "step": 4467 + }, + { + "epoch": 0.94, + "learning_rate": 1.2066526084176355e-07, + "loss": 2.6724, + "step": 4468 + }, + { + "epoch": 0.94, + "learning_rate": 1.1986272006974775e-07, + "loss": 2.6413, + "step": 4469 + }, + { + "epoch": 0.94, + "learning_rate": 1.1906282466806806e-07, + "loss": 2.6864, + "step": 4470 + }, + { + "epoch": 0.94, + "learning_rate": 1.18265575070321e-07, + "loss": 2.6317, + "step": 4471 + }, + { + "epoch": 0.94, + "learning_rate": 1.1747097170867084e-07, + "loss": 2.6293, + "step": 4472 + }, + { + "epoch": 0.94, + "learning_rate": 1.1667901501384914e-07, + "loss": 2.6882, + "step": 4473 + }, + { + "epoch": 0.94, + "learning_rate": 1.1588970541514865e-07, + "loss": 2.5115, + "step": 4474 + }, + { + "epoch": 0.94, + "learning_rate": 1.1510304334043099e-07, + "loss": 2.6582, + "step": 4475 + }, + { + "epoch": 0.94, + "learning_rate": 1.143190292161206e-07, + "loss": 2.6678, + "step": 4476 + }, + { + "epoch": 0.94, + "learning_rate": 1.1353766346720696e-07, + "loss": 2.6424, + "step": 4477 + }, + { + "epoch": 0.94, + "learning_rate": 1.1275894651724517e-07, + "loss": 2.6674, + "step": 4478 + }, + { + "epoch": 0.94, + "learning_rate": 1.1198287878835201e-07, + "loss": 2.7087, + "step": 4479 + }, + { + "epoch": 0.94, + "learning_rate": 1.1120946070120986e-07, + "loss": 2.7515, + "step": 4480 + }, + { + "epoch": 0.94, + "learning_rate": 1.1043869267506557e-07, + "loss": 2.5834, + "step": 4481 + }, + { + "epoch": 0.94, + "learning_rate": 1.0967057512772717e-07, + "loss": 2.6214, + "step": 4482 + }, + { + "epoch": 0.94, + "learning_rate": 1.0890510847556768e-07, + "loss": 2.689, + "step": 4483 + }, + { + "epoch": 0.94, + "learning_rate": 1.0814229313352354e-07, + "loss": 2.6123, + "step": 4484 + }, + { + "epoch": 0.94, + "learning_rate": 1.0738212951509231e-07, + "loss": 2.6912, + "step": 4485 + }, + { + "epoch": 0.94, + "learning_rate": 1.0662461803233492e-07, + "loss": 2.6271, + "step": 4486 + }, + { + "epoch": 0.94, + "learning_rate": 1.0586975909587516e-07, + "loss": 2.6512, + "step": 4487 + }, + { + "epoch": 0.94, + "learning_rate": 1.0511755311489791e-07, + "loss": 2.6724, + "step": 4488 + }, + { + "epoch": 0.94, + "learning_rate": 1.0436800049715146e-07, + "loss": 2.586, + "step": 4489 + }, + { + "epoch": 0.94, + "learning_rate": 1.0362110164894523e-07, + "loss": 2.663, + "step": 4490 + }, + { + "epoch": 0.94, + "learning_rate": 1.0287685697514871e-07, + "loss": 2.6653, + "step": 4491 + }, + { + "epoch": 0.94, + "learning_rate": 1.0213526687919362e-07, + "loss": 2.6738, + "step": 4492 + }, + { + "epoch": 0.94, + "learning_rate": 1.0139633176307396e-07, + "loss": 2.7399, + "step": 4493 + }, + { + "epoch": 0.94, + "learning_rate": 1.0066005202734264e-07, + "loss": 2.6713, + "step": 4494 + }, + { + "epoch": 0.94, + "learning_rate": 9.992642807111486e-08, + "loss": 2.7039, + "step": 4495 + }, + { + "epoch": 0.94, + "learning_rate": 9.919546029206361e-08, + "loss": 2.6227, + "step": 4496 + }, + { + "epoch": 0.94, + "learning_rate": 9.84671490864253e-08, + "loss": 2.6547, + "step": 4497 + }, + { + "epoch": 0.94, + "learning_rate": 9.774149484899409e-08, + "loss": 2.6644, + "step": 4498 + }, + { + "epoch": 0.94, + "learning_rate": 9.701849797312479e-08, + "loss": 2.6163, + "step": 4499 + }, + { + "epoch": 0.94, + "learning_rate": 9.629815885073057e-08, + "loss": 2.6959, + "step": 4500 + }, + { + "epoch": 0.94, + "learning_rate": 9.55804778722863e-08, + "loss": 2.711, + "step": 4501 + }, + { + "epoch": 0.94, + "learning_rate": 9.486545542682357e-08, + "loss": 2.6638, + "step": 4502 + }, + { + "epoch": 0.94, + "learning_rate": 9.415309190193345e-08, + "loss": 2.6323, + "step": 4503 + }, + { + "epoch": 0.94, + "learning_rate": 9.34433876837676e-08, + "loss": 2.6097, + "step": 4504 + }, + { + "epoch": 0.94, + "learning_rate": 9.273634315703217e-08, + "loss": 2.7195, + "step": 4505 + }, + { + "epoch": 0.95, + "learning_rate": 9.20319587049956e-08, + "loss": 2.6595, + "step": 4506 + }, + { + "epoch": 0.95, + "learning_rate": 9.133023470948299e-08, + "loss": 2.6554, + "step": 4507 + }, + { + "epoch": 0.95, + "learning_rate": 9.06311715508762e-08, + "loss": 2.6497, + "step": 4508 + }, + { + "epoch": 0.95, + "learning_rate": 8.993476960811542e-08, + "loss": 2.6231, + "step": 4509 + }, + { + "epoch": 0.95, + "learning_rate": 8.924102925869871e-08, + "loss": 2.6198, + "step": 4510 + }, + { + "epoch": 0.95, + "learning_rate": 8.85499508786819e-08, + "loss": 2.5899, + "step": 4511 + }, + { + "epoch": 0.95, + "learning_rate": 8.78615348426759e-08, + "loss": 2.6252, + "step": 4512 + }, + { + "epoch": 0.95, + "learning_rate": 8.717578152384997e-08, + "loss": 2.6838, + "step": 4513 + }, + { + "epoch": 0.95, + "learning_rate": 8.649269129393012e-08, + "loss": 2.6379, + "step": 4514 + }, + { + "epoch": 0.95, + "learning_rate": 8.581226452319791e-08, + "loss": 2.681, + "step": 4515 + }, + { + "epoch": 0.95, + "learning_rate": 8.513450158049109e-08, + "loss": 2.5795, + "step": 4516 + }, + { + "epoch": 0.95, + "learning_rate": 8.445940283320408e-08, + "loss": 2.692, + "step": 4517 + }, + { + "epoch": 0.95, + "learning_rate": 8.378696864728753e-08, + "loss": 2.5987, + "step": 4518 + }, + { + "epoch": 0.95, + "learning_rate": 8.311719938724594e-08, + "loss": 2.6731, + "step": 4519 + }, + { + "epoch": 0.95, + "learning_rate": 8.245009541614113e-08, + "loss": 2.7198, + "step": 4520 + }, + { + "epoch": 0.95, + "learning_rate": 8.178565709558939e-08, + "loss": 2.6179, + "step": 4521 + }, + { + "epoch": 0.95, + "learning_rate": 8.11238847857615e-08, + "loss": 2.6558, + "step": 4522 + }, + { + "epoch": 0.95, + "learning_rate": 8.046477884538384e-08, + "loss": 2.5687, + "step": 4523 + }, + { + "epoch": 0.95, + "learning_rate": 7.980833963173784e-08, + "loss": 2.5371, + "step": 4524 + }, + { + "epoch": 0.95, + "learning_rate": 7.915456750065775e-08, + "loss": 2.6657, + "step": 4525 + }, + { + "epoch": 0.95, + "learning_rate": 7.850346280653287e-08, + "loss": 2.6487, + "step": 4526 + }, + { + "epoch": 0.95, + "learning_rate": 7.785502590230864e-08, + "loss": 2.6551, + "step": 4527 + }, + { + "epoch": 0.95, + "learning_rate": 7.720925713948002e-08, + "loss": 2.6047, + "step": 4528 + }, + { + "epoch": 0.95, + "learning_rate": 7.656615686809976e-08, + "loss": 2.6425, + "step": 4529 + }, + { + "epoch": 0.95, + "learning_rate": 7.592572543677235e-08, + "loss": 2.724, + "step": 4530 + }, + { + "epoch": 0.95, + "learning_rate": 7.528796319265508e-08, + "loss": 2.5822, + "step": 4531 + }, + { + "epoch": 0.95, + "learning_rate": 7.46528704814592e-08, + "loss": 2.6238, + "step": 4532 + }, + { + "epoch": 0.95, + "learning_rate": 7.402044764744932e-08, + "loss": 2.6647, + "step": 4533 + }, + { + "epoch": 0.95, + "learning_rate": 7.339069503344121e-08, + "loss": 2.6948, + "step": 4534 + }, + { + "epoch": 0.95, + "learning_rate": 7.27636129808046e-08, + "loss": 2.6299, + "step": 4535 + }, + { + "epoch": 0.95, + "learning_rate": 7.213920182946087e-08, + "loss": 2.6571, + "step": 4536 + }, + { + "epoch": 0.95, + "learning_rate": 7.151746191788434e-08, + "loss": 2.6234, + "step": 4537 + }, + { + "epoch": 0.95, + "learning_rate": 7.089839358310091e-08, + "loss": 2.576, + "step": 4538 + }, + { + "epoch": 0.95, + "learning_rate": 7.028199716068773e-08, + "loss": 2.6302, + "step": 4539 + }, + { + "epoch": 0.95, + "learning_rate": 6.966827298477363e-08, + "loss": 2.6418, + "step": 4540 + }, + { + "epoch": 0.95, + "learning_rate": 6.905722138804083e-08, + "loss": 2.671, + "step": 4541 + }, + { + "epoch": 0.95, + "learning_rate": 6.844884270171992e-08, + "loss": 2.5719, + "step": 4542 + }, + { + "epoch": 0.95, + "learning_rate": 6.784313725559432e-08, + "loss": 2.6014, + "step": 4543 + }, + { + "epoch": 0.95, + "learning_rate": 6.724010537799918e-08, + "loss": 2.7001, + "step": 4544 + }, + { + "epoch": 0.95, + "learning_rate": 6.663974739581802e-08, + "loss": 2.6068, + "step": 4545 + }, + { + "epoch": 0.95, + "learning_rate": 6.604206363448662e-08, + "loss": 2.5849, + "step": 4546 + }, + { + "epoch": 0.95, + "learning_rate": 6.544705441799082e-08, + "loss": 2.5743, + "step": 4547 + }, + { + "epoch": 0.95, + "learning_rate": 6.48547200688665e-08, + "loss": 2.6251, + "step": 4548 + }, + { + "epoch": 0.95, + "learning_rate": 6.426506090819961e-08, + "loss": 2.6442, + "step": 4549 + }, + { + "epoch": 0.95, + "learning_rate": 6.367807725562614e-08, + "loss": 2.7467, + "step": 4550 + }, + { + "epoch": 0.95, + "learning_rate": 6.309376942933154e-08, + "loss": 2.5715, + "step": 4551 + }, + { + "epoch": 0.95, + "learning_rate": 6.251213774605081e-08, + "loss": 2.6477, + "step": 4552 + }, + { + "epoch": 0.96, + "learning_rate": 6.193318252106839e-08, + "loss": 2.6005, + "step": 4553 + }, + { + "epoch": 0.96, + "learning_rate": 6.13569040682177e-08, + "loss": 2.6719, + "step": 4554 + }, + { + "epoch": 0.96, + "learning_rate": 6.07833026998822e-08, + "loss": 2.6082, + "step": 4555 + }, + { + "epoch": 0.96, + "learning_rate": 6.021237872699204e-08, + "loss": 2.6723, + "step": 4556 + }, + { + "epoch": 0.96, + "learning_rate": 5.9644132459028e-08, + "loss": 2.6054, + "step": 4557 + }, + { + "epoch": 0.96, + "learning_rate": 5.9078564204018694e-08, + "loss": 2.695, + "step": 4558 + }, + { + "epoch": 0.96, + "learning_rate": 5.8515674268541103e-08, + "loss": 2.6717, + "step": 4559 + }, + { + "epoch": 0.96, + "learning_rate": 5.7955462957719474e-08, + "loss": 2.6451, + "step": 4560 + }, + { + "epoch": 0.96, + "learning_rate": 5.7397930575228134e-08, + "loss": 2.6532, + "step": 4561 + }, + { + "epoch": 0.96, + "learning_rate": 5.6843077423286984e-08, + "loss": 2.6957, + "step": 4562 + }, + { + "epoch": 0.96, + "learning_rate": 5.6290903802665444e-08, + "loss": 2.5876, + "step": 4563 + }, + { + "epoch": 0.96, + "learning_rate": 5.5741410012679634e-08, + "loss": 2.6477, + "step": 4564 + }, + { + "epoch": 0.96, + "learning_rate": 5.5194596351192396e-08, + "loss": 2.676, + "step": 4565 + }, + { + "epoch": 0.96, + "learning_rate": 5.465046311461442e-08, + "loss": 2.6429, + "step": 4566 + }, + { + "epoch": 0.96, + "learning_rate": 5.410901059790419e-08, + "loss": 2.5823, + "step": 4567 + }, + { + "epoch": 0.96, + "learning_rate": 5.357023909456527e-08, + "loss": 2.5998, + "step": 4568 + }, + { + "epoch": 0.96, + "learning_rate": 5.303414889664904e-08, + "loss": 2.6805, + "step": 4569 + }, + { + "epoch": 0.96, + "learning_rate": 5.250074029475416e-08, + "loss": 2.6551, + "step": 4570 + }, + { + "epoch": 0.96, + "learning_rate": 5.197001357802378e-08, + "loss": 2.6398, + "step": 4571 + }, + { + "epoch": 0.96, + "learning_rate": 5.1441969034148886e-08, + "loss": 2.7272, + "step": 4572 + }, + { + "epoch": 0.96, + "learning_rate": 5.091660694936551e-08, + "loss": 2.5933, + "step": 4573 + }, + { + "epoch": 0.96, + "learning_rate": 5.0393927608456404e-08, + "loss": 2.664, + "step": 4574 + }, + { + "epoch": 0.96, + "learning_rate": 4.987393129474993e-08, + "loss": 2.6358, + "step": 4575 + }, + { + "epoch": 0.96, + "learning_rate": 4.9356618290119505e-08, + "loss": 2.6105, + "step": 4576 + }, + { + "epoch": 0.96, + "learning_rate": 4.8841988874984145e-08, + "loss": 2.5598, + "step": 4577 + }, + { + "epoch": 0.96, + "learning_rate": 4.8330043328309594e-08, + "loss": 2.5905, + "step": 4578 + }, + { + "epoch": 0.96, + "learning_rate": 4.7820781927604423e-08, + "loss": 2.7143, + "step": 4579 + }, + { + "epoch": 0.96, + "learning_rate": 4.7314204948923356e-08, + "loss": 2.6632, + "step": 4580 + }, + { + "epoch": 0.96, + "learning_rate": 4.6810312666867306e-08, + "loss": 2.6938, + "step": 4581 + }, + { + "epoch": 0.96, + "learning_rate": 4.630910535457889e-08, + "loss": 2.6133, + "step": 4582 + }, + { + "epoch": 0.96, + "learning_rate": 4.581058328374799e-08, + "loss": 2.6675, + "step": 4583 + }, + { + "epoch": 0.96, + "learning_rate": 4.531474672460734e-08, + "loss": 2.6001, + "step": 4584 + }, + { + "epoch": 0.96, + "learning_rate": 4.4821595945934714e-08, + "loss": 2.632, + "step": 4585 + }, + { + "epoch": 0.96, + "learning_rate": 4.4331131215052395e-08, + "loss": 2.5718, + "step": 4586 + }, + { + "epoch": 0.96, + "learning_rate": 4.384335279782492e-08, + "loss": 2.6566, + "step": 4587 + }, + { + "epoch": 0.96, + "learning_rate": 4.335826095866247e-08, + "loss": 2.681, + "step": 4588 + }, + { + "epoch": 0.96, + "learning_rate": 4.287585596051858e-08, + "loss": 2.6247, + "step": 4589 + }, + { + "epoch": 0.96, + "learning_rate": 4.239613806488907e-08, + "loss": 2.7065, + "step": 4590 + }, + { + "epoch": 0.96, + "learning_rate": 4.191910753181427e-08, + "loss": 2.6542, + "step": 4591 + }, + { + "epoch": 0.96, + "learning_rate": 4.14447646198779e-08, + "loss": 2.6481, + "step": 4592 + }, + { + "epoch": 0.96, + "learning_rate": 4.097310958620593e-08, + "loss": 2.6543, + "step": 4593 + }, + { + "epoch": 0.96, + "learning_rate": 4.050414268646829e-08, + "loss": 2.6098, + "step": 4594 + }, + { + "epoch": 0.96, + "learning_rate": 4.003786417487776e-08, + "loss": 2.5925, + "step": 4595 + }, + { + "epoch": 0.96, + "learning_rate": 3.957427430418881e-08, + "loss": 2.6041, + "step": 4596 + }, + { + "epoch": 0.96, + "learning_rate": 3.911337332569876e-08, + "loss": 2.6421, + "step": 4597 + }, + { + "epoch": 0.96, + "learning_rate": 3.865516148924831e-08, + "loss": 2.6121, + "step": 4598 + }, + { + "epoch": 0.96, + "learning_rate": 3.8199639043219325e-08, + "loss": 2.6115, + "step": 4599 + }, + { + "epoch": 0.96, + "learning_rate": 3.7746806234536526e-08, + "loss": 2.6607, + "step": 4600 + }, + { + "epoch": 0.97, + "learning_rate": 3.729666330866688e-08, + "loss": 2.634, + "step": 4601 + }, + { + "epoch": 0.97, + "learning_rate": 3.6849210509617984e-08, + "loss": 2.6465, + "step": 4602 + }, + { + "epoch": 0.97, + "learning_rate": 3.6404448079940816e-08, + "loss": 2.6517, + "step": 4603 + }, + { + "epoch": 0.97, + "learning_rate": 3.596237626072696e-08, + "loss": 2.6572, + "step": 4604 + }, + { + "epoch": 0.97, + "learning_rate": 3.552299529160974e-08, + "loss": 2.676, + "step": 4605 + }, + { + "epoch": 0.97, + "learning_rate": 3.5086305410763634e-08, + "loss": 2.5617, + "step": 4606 + }, + { + "epoch": 0.97, + "learning_rate": 3.4652306854905394e-08, + "loss": 2.5868, + "step": 4607 + }, + { + "epoch": 0.97, + "learning_rate": 3.422099985929128e-08, + "loss": 2.6857, + "step": 4608 + }, + { + "epoch": 0.97, + "learning_rate": 3.3792384657719276e-08, + "loss": 2.6612, + "step": 4609 + }, + { + "epoch": 0.97, + "learning_rate": 3.336646148252909e-08, + "loss": 2.6397, + "step": 4610 + }, + { + "epoch": 0.97, + "learning_rate": 3.294323056460047e-08, + "loss": 2.6382, + "step": 4611 + }, + { + "epoch": 0.97, + "learning_rate": 3.2522692133352686e-08, + "loss": 2.639, + "step": 4612 + }, + { + "epoch": 0.97, + "learning_rate": 3.210484641674727e-08, + "loss": 2.6532, + "step": 4613 + }, + { + "epoch": 0.97, + "learning_rate": 3.168969364128527e-08, + "loss": 2.5288, + "step": 4614 + }, + { + "epoch": 0.97, + "learning_rate": 3.127723403200833e-08, + "loss": 2.5864, + "step": 4615 + }, + { + "epoch": 0.97, + "learning_rate": 3.086746781249705e-08, + "loss": 2.7139, + "step": 4616 + }, + { + "epoch": 0.97, + "learning_rate": 3.046039520487376e-08, + "loss": 2.6474, + "step": 4617 + }, + { + "epoch": 0.97, + "learning_rate": 3.005601642979972e-08, + "loss": 2.6023, + "step": 4618 + }, + { + "epoch": 0.97, + "learning_rate": 2.9654331706476245e-08, + "loss": 2.5719, + "step": 4619 + }, + { + "epoch": 0.97, + "learning_rate": 2.9255341252643067e-08, + "loss": 2.6286, + "step": 4620 + }, + { + "epoch": 0.97, + "learning_rate": 2.885904528458161e-08, + "loss": 2.6384, + "step": 4621 + }, + { + "epoch": 0.97, + "learning_rate": 2.8465444017111154e-08, + "loss": 2.6559, + "step": 4622 + }, + { + "epoch": 0.97, + "learning_rate": 2.8074537663590472e-08, + "loss": 2.5737, + "step": 4623 + }, + { + "epoch": 0.97, + "learning_rate": 2.7686326435917842e-08, + "loss": 2.6972, + "step": 4624 + }, + { + "epoch": 0.97, + "learning_rate": 2.730081054453104e-08, + "loss": 2.7099, + "step": 4625 + }, + { + "epoch": 0.97, + "learning_rate": 2.691799019840513e-08, + "loss": 2.5969, + "step": 4626 + }, + { + "epoch": 0.97, + "learning_rate": 2.6537865605056333e-08, + "loss": 2.6444, + "step": 4627 + }, + { + "epoch": 0.97, + "learning_rate": 2.6160436970537052e-08, + "loss": 2.6721, + "step": 4628 + }, + { + "epoch": 0.97, + "learning_rate": 2.5785704499440846e-08, + "loss": 2.6503, + "step": 4629 + }, + { + "epoch": 0.97, + "learning_rate": 2.541366839489745e-08, + "loss": 2.639, + "step": 4630 + }, + { + "epoch": 0.97, + "learning_rate": 2.5044328858576105e-08, + "loss": 2.6037, + "step": 4631 + }, + { + "epoch": 0.97, + "learning_rate": 2.4677686090685548e-08, + "loss": 2.639, + "step": 4632 + }, + { + "epoch": 0.97, + "learning_rate": 2.4313740289970134e-08, + "loss": 2.6389, + "step": 4633 + }, + { + "epoch": 0.97, + "learning_rate": 2.3952491653713717e-08, + "loss": 2.6399, + "step": 4634 + }, + { + "epoch": 0.97, + "learning_rate": 2.3593940377738545e-08, + "loss": 2.6594, + "step": 4635 + }, + { + "epoch": 0.97, + "learning_rate": 2.3238086656403034e-08, + "loss": 2.7032, + "step": 4636 + }, + { + "epoch": 0.97, + "learning_rate": 2.2884930682605112e-08, + "loss": 2.6627, + "step": 4637 + }, + { + "epoch": 0.97, + "learning_rate": 2.253447264777997e-08, + "loss": 2.5814, + "step": 4638 + }, + { + "epoch": 0.97, + "learning_rate": 2.2186712741899542e-08, + "loss": 2.6604, + "step": 4639 + }, + { + "epoch": 0.97, + "learning_rate": 2.1841651153473588e-08, + "loss": 2.7336, + "step": 4640 + }, + { + "epoch": 0.97, + "learning_rate": 2.1499288069549153e-08, + "loss": 2.6265, + "step": 4641 + }, + { + "epoch": 0.97, + "learning_rate": 2.1159623675711115e-08, + "loss": 2.5564, + "step": 4642 + }, + { + "epoch": 0.97, + "learning_rate": 2.082265815607998e-08, + "loss": 2.6012, + "step": 4643 + }, + { + "epoch": 0.97, + "learning_rate": 2.0488391693315178e-08, + "loss": 2.7168, + "step": 4644 + }, + { + "epoch": 0.97, + "learning_rate": 2.015682446861178e-08, + "loss": 2.7039, + "step": 4645 + }, + { + "epoch": 0.97, + "learning_rate": 1.982795666170212e-08, + "loss": 2.597, + "step": 4646 + }, + { + "epoch": 0.97, + "learning_rate": 1.9501788450855263e-08, + "loss": 2.6553, + "step": 4647 + }, + { + "epoch": 0.97, + "learning_rate": 1.917832001287645e-08, + "loss": 2.6626, + "step": 4648 + }, + { + "epoch": 0.98, + "learning_rate": 1.8857551523108753e-08, + "loss": 2.712, + "step": 4649 + }, + { + "epoch": 0.98, + "learning_rate": 1.8539483155429196e-08, + "loss": 2.6722, + "step": 4650 + }, + { + "epoch": 0.98, + "learning_rate": 1.8224115082254303e-08, + "loss": 2.6844, + "step": 4651 + }, + { + "epoch": 0.98, + "learning_rate": 1.791144747453455e-08, + "loss": 2.6472, + "step": 4652 + }, + { + "epoch": 0.98, + "learning_rate": 1.760148050175714e-08, + "loss": 2.6198, + "step": 4653 + }, + { + "epoch": 0.98, + "learning_rate": 1.7294214331946003e-08, + "loss": 2.6177, + "step": 4654 + }, + { + "epoch": 0.98, + "learning_rate": 1.698964913166068e-08, + "loss": 2.6275, + "step": 4655 + }, + { + "epoch": 0.98, + "learning_rate": 1.6687785065995776e-08, + "loss": 2.641, + "step": 4656 + }, + { + "epoch": 0.98, + "learning_rate": 1.638862229858207e-08, + "loss": 2.6676, + "step": 4657 + }, + { + "epoch": 0.98, + "learning_rate": 1.6092160991587614e-08, + "loss": 2.6174, + "step": 4658 + }, + { + "epoch": 0.98, + "learning_rate": 1.5798401305714416e-08, + "loss": 2.5873, + "step": 4659 + }, + { + "epoch": 0.98, + "learning_rate": 1.5507343400200103e-08, + "loss": 2.6101, + "step": 4660 + }, + { + "epoch": 0.98, + "learning_rate": 1.5218987432818465e-08, + "loss": 2.6255, + "step": 4661 + }, + { + "epoch": 0.98, + "learning_rate": 1.4933333559877805e-08, + "loss": 2.6511, + "step": 4662 + }, + { + "epoch": 0.98, + "learning_rate": 1.4650381936222591e-08, + "loss": 2.6708, + "step": 4663 + }, + { + "epoch": 0.98, + "learning_rate": 1.4370132715232354e-08, + "loss": 2.623, + "step": 4664 + }, + { + "epoch": 0.98, + "learning_rate": 1.4092586048820578e-08, + "loss": 2.6331, + "step": 4665 + }, + { + "epoch": 0.98, + "learning_rate": 1.381774208743747e-08, + "loss": 2.6683, + "step": 4666 + }, + { + "epoch": 0.98, + "learning_rate": 1.3545600980067187e-08, + "loss": 2.6612, + "step": 4667 + }, + { + "epoch": 0.98, + "learning_rate": 1.3276162874228394e-08, + "loss": 2.6765, + "step": 4668 + }, + { + "epoch": 0.98, + "learning_rate": 1.3009427915975925e-08, + "loss": 2.6821, + "step": 4669 + }, + { + "epoch": 0.98, + "learning_rate": 1.2745396249898013e-08, + "loss": 2.6768, + "step": 4670 + }, + { + "epoch": 0.98, + "learning_rate": 1.2484068019117945e-08, + "loss": 2.6812, + "step": 4671 + }, + { + "epoch": 0.98, + "learning_rate": 1.2225443365294077e-08, + "loss": 2.5864, + "step": 4672 + }, + { + "epoch": 0.98, + "learning_rate": 1.1969522428618152e-08, + "loss": 2.6191, + "step": 4673 + }, + { + "epoch": 0.98, + "learning_rate": 1.171630534781698e-08, + "loss": 2.5663, + "step": 4674 + }, + { + "epoch": 0.98, + "learning_rate": 1.146579226015243e-08, + "loss": 2.73, + "step": 4675 + }, + { + "epoch": 0.98, + "learning_rate": 1.1217983301418656e-08, + "loss": 2.6547, + "step": 4676 + }, + { + "epoch": 0.98, + "learning_rate": 1.0972878605946535e-08, + "loss": 2.699, + "step": 4677 + }, + { + "epoch": 0.98, + "learning_rate": 1.0730478306598679e-08, + "loss": 2.6557, + "step": 4678 + }, + { + "epoch": 0.98, + "learning_rate": 1.0490782534772758e-08, + "loss": 2.6538, + "step": 4679 + }, + { + "epoch": 0.98, + "learning_rate": 1.0253791420400949e-08, + "loss": 2.6448, + "step": 4680 + }, + { + "epoch": 0.98, + "learning_rate": 1.0019505091948268e-08, + "loss": 2.661, + "step": 4681 + }, + { + "epoch": 0.98, + "learning_rate": 9.787923676414235e-09, + "loss": 2.6163, + "step": 4682 + }, + { + "epoch": 0.98, + "learning_rate": 9.55904729933177e-09, + "loss": 2.6079, + "step": 4683 + }, + { + "epoch": 0.98, + "learning_rate": 9.332876084768295e-09, + "loss": 2.6661, + "step": 4684 + }, + { + "epoch": 0.98, + "learning_rate": 9.109410155322962e-09, + "loss": 2.6174, + "step": 4685 + }, + { + "epoch": 0.98, + "learning_rate": 8.888649632130542e-09, + "loss": 2.7084, + "step": 4686 + }, + { + "epoch": 0.98, + "learning_rate": 8.670594634858642e-09, + "loss": 2.5876, + "step": 4687 + }, + { + "epoch": 0.98, + "learning_rate": 8.455245281707158e-09, + "loss": 2.6565, + "step": 4688 + }, + { + "epoch": 0.98, + "learning_rate": 8.242601689411044e-09, + "loss": 2.6599, + "step": 4689 + }, + { + "epoch": 0.98, + "learning_rate": 8.032663973237543e-09, + "loss": 2.6538, + "step": 4690 + }, + { + "epoch": 0.98, + "learning_rate": 7.825432246987286e-09, + "loss": 2.6311, + "step": 4691 + }, + { + "epoch": 0.98, + "learning_rate": 7.620906622994307e-09, + "loss": 2.5999, + "step": 4692 + }, + { + "epoch": 0.98, + "learning_rate": 7.41908721212492e-09, + "loss": 2.7005, + "step": 4693 + }, + { + "epoch": 0.98, + "learning_rate": 7.219974123779949e-09, + "loss": 2.6337, + "step": 4694 + }, + { + "epoch": 0.98, + "learning_rate": 7.0235674658925e-09, + "loss": 2.6326, + "step": 4695 + }, + { + "epoch": 0.99, + "learning_rate": 6.82986734492741e-09, + "loss": 2.65, + "step": 4696 + }, + { + "epoch": 0.99, + "learning_rate": 6.638873865884576e-09, + "loss": 2.636, + "step": 4697 + }, + { + "epoch": 0.99, + "learning_rate": 6.450587132295072e-09, + "loss": 2.641, + "step": 4698 + }, + { + "epoch": 0.99, + "learning_rate": 6.265007246223365e-09, + "loss": 2.6929, + "step": 4699 + }, + { + "epoch": 0.99, + "learning_rate": 6.082134308266763e-09, + "loss": 2.7121, + "step": 4700 + }, + { + "epoch": 0.99, + "learning_rate": 5.90196841755486e-09, + "loss": 2.6686, + "step": 4701 + }, + { + "epoch": 0.99, + "learning_rate": 5.724509671749534e-09, + "loss": 2.6996, + "step": 4702 + }, + { + "epoch": 0.99, + "learning_rate": 5.54975816704606e-09, + "loss": 2.5781, + "step": 4703 + }, + { + "epoch": 0.99, + "learning_rate": 5.377713998171996e-09, + "loss": 2.6589, + "step": 4704 + }, + { + "epoch": 0.99, + "learning_rate": 5.208377258386632e-09, + "loss": 2.6224, + "step": 4705 + }, + { + "epoch": 0.99, + "learning_rate": 5.041748039482097e-09, + "loss": 2.6722, + "step": 4706 + }, + { + "epoch": 0.99, + "learning_rate": 4.877826431783916e-09, + "loss": 2.5234, + "step": 4707 + }, + { + "epoch": 0.99, + "learning_rate": 4.716612524147124e-09, + "loss": 2.5935, + "step": 4708 + }, + { + "epoch": 0.99, + "learning_rate": 4.55810640396237e-09, + "loss": 2.6116, + "step": 4709 + }, + { + "epoch": 0.99, + "learning_rate": 4.40230815715037e-09, + "loss": 2.6776, + "step": 4710 + }, + { + "epoch": 0.99, + "learning_rate": 4.249217868164124e-09, + "loss": 2.6236, + "step": 4711 + }, + { + "epoch": 0.99, + "learning_rate": 4.098835619989472e-09, + "loss": 2.6569, + "step": 4712 + }, + { + "epoch": 0.99, + "learning_rate": 3.951161494143984e-09, + "loss": 2.6456, + "step": 4713 + }, + { + "epoch": 0.99, + "learning_rate": 3.806195570676962e-09, + "loss": 2.718, + "step": 4714 + }, + { + "epoch": 0.99, + "learning_rate": 3.6639379281699917e-09, + "loss": 2.6144, + "step": 4715 + }, + { + "epoch": 0.99, + "learning_rate": 3.524388643736387e-09, + "loss": 2.6475, + "step": 4716 + }, + { + "epoch": 0.99, + "learning_rate": 3.3875477930217506e-09, + "loss": 2.6329, + "step": 4717 + }, + { + "epoch": 0.99, + "learning_rate": 3.253415450203412e-09, + "loss": 2.637, + "step": 4718 + }, + { + "epoch": 0.99, + "learning_rate": 3.121991687989323e-09, + "loss": 2.7031, + "step": 4719 + }, + { + "epoch": 0.99, + "learning_rate": 2.9932765776213845e-09, + "loss": 2.6006, + "step": 4720 + }, + { + "epoch": 0.99, + "learning_rate": 2.8672701888715627e-09, + "loss": 2.6368, + "step": 4721 + }, + { + "epoch": 0.99, + "learning_rate": 2.7439725900441083e-09, + "loss": 2.6753, + "step": 4722 + }, + { + "epoch": 0.99, + "learning_rate": 2.6233838479744478e-09, + "loss": 2.6827, + "step": 4723 + }, + { + "epoch": 0.99, + "learning_rate": 2.5055040280302923e-09, + "loss": 2.6399, + "step": 4724 + }, + { + "epoch": 0.99, + "learning_rate": 2.390333194111083e-09, + "loss": 2.5776, + "step": 4725 + }, + { + "epoch": 0.99, + "learning_rate": 2.277871408646326e-09, + "loss": 2.6615, + "step": 4726 + }, + { + "epoch": 0.99, + "learning_rate": 2.1681187325983675e-09, + "loss": 2.6463, + "step": 4727 + }, + { + "epoch": 0.99, + "learning_rate": 2.061075225461284e-09, + "loss": 2.6536, + "step": 4728 + }, + { + "epoch": 0.99, + "learning_rate": 1.956740945259772e-09, + "loss": 2.6454, + "step": 4729 + }, + { + "epoch": 0.99, + "learning_rate": 1.8551159485497016e-09, + "loss": 2.6543, + "step": 4730 + }, + { + "epoch": 0.99, + "learning_rate": 1.7562002904192299e-09, + "loss": 2.7654, + "step": 4731 + }, + { + "epoch": 0.99, + "learning_rate": 1.6599940244871327e-09, + "loss": 2.6706, + "step": 4732 + }, + { + "epoch": 0.99, + "learning_rate": 1.566497202904471e-09, + "loss": 2.681, + "step": 4733 + }, + { + "epoch": 0.99, + "learning_rate": 1.4757098763523715e-09, + "loss": 2.7117, + "step": 4734 + }, + { + "epoch": 0.99, + "learning_rate": 1.3876320940442445e-09, + "loss": 2.6517, + "step": 4735 + }, + { + "epoch": 0.99, + "learning_rate": 1.3022639037241214e-09, + "loss": 2.6563, + "step": 4736 + }, + { + "epoch": 0.99, + "learning_rate": 1.219605351667208e-09, + "loss": 2.6867, + "step": 4737 + }, + { + "epoch": 0.99, + "learning_rate": 1.1396564826804401e-09, + "loss": 2.6095, + "step": 4738 + }, + { + "epoch": 0.99, + "learning_rate": 1.0624173401013738e-09, + "loss": 2.7135, + "step": 4739 + }, + { + "epoch": 0.99, + "learning_rate": 9.878879657992946e-10, + "loss": 2.6932, + "step": 4740 + }, + { + "epoch": 0.99, + "learning_rate": 9.160684001741082e-10, + "loss": 2.5852, + "step": 4741 + }, + { + "epoch": 0.99, + "learning_rate": 8.469586821563403e-10, + "loss": 2.6351, + "step": 4742 + }, + { + "epoch": 0.99, + "learning_rate": 7.805588492093564e-10, + "loss": 2.5954, + "step": 4743 + }, + { + "epoch": 1.0, + "learning_rate": 7.168689373254767e-10, + "loss": 2.6846, + "step": 4744 + }, + { + "epoch": 1.0, + "learning_rate": 6.558889810293067e-10, + "loss": 2.6296, + "step": 4745 + }, + { + "epoch": 1.0, + "learning_rate": 5.976190133760718e-10, + "loss": 2.6401, + "step": 4746 + }, + { + "epoch": 1.0, + "learning_rate": 5.420590659527269e-10, + "loss": 2.603, + "step": 4747 + }, + { + "epoch": 1.0, + "learning_rate": 4.892091688757372e-10, + "loss": 2.5919, + "step": 4748 + }, + { + "epoch": 1.0, + "learning_rate": 4.3906935079440773e-10, + "loss": 2.723, + "step": 4749 + }, + { + "epoch": 1.0, + "learning_rate": 3.916396388869981e-10, + "loss": 2.6647, + "step": 4750 + }, + { + "epoch": 1.0, + "learning_rate": 3.469200588640531e-10, + "loss": 2.6439, + "step": 4751 + }, + { + "epoch": 1.0, + "learning_rate": 3.0491063496618234e-10, + "loss": 2.6017, + "step": 4752 + }, + { + "epoch": 1.0, + "learning_rate": 2.6561138996628046e-10, + "loss": 2.619, + "step": 4753 + }, + { + "epoch": 1.0, + "learning_rate": 2.290223451667517e-10, + "loss": 2.6516, + "step": 4754 + }, + { + "epoch": 1.0, + "learning_rate": 1.9514352040173045e-10, + "loss": 2.6521, + "step": 4755 + }, + { + "epoch": 1.0, + "learning_rate": 1.6397493403541576e-10, + "loss": 2.7024, + "step": 4756 + }, + { + "epoch": 1.0, + "learning_rate": 1.355166029631816e-10, + "loss": 2.6367, + "step": 4757 + }, + { + "epoch": 1.0, + "learning_rate": 1.0976854261213199e-10, + "loss": 2.6887, + "step": 4758 + }, + { + "epoch": 1.0, + "learning_rate": 8.67307669383255e-11, + "loss": 2.5637, + "step": 4759 + }, + { + "epoch": 1.0, + "learning_rate": 6.640328843121602e-11, + "loss": 2.6444, + "step": 4760 + }, + { + "epoch": 1.0, + "learning_rate": 4.8786118109211967e-11, + "loss": 2.7029, + "step": 4761 + }, + { + "epoch": 1.0, + "learning_rate": 3.387926552134157e-11, + "loss": 2.6555, + "step": 4762 + }, + { + "epoch": 1.0, + "learning_rate": 2.168273874891824e-11, + "loss": 2.6012, + "step": 4763 + }, + { + "epoch": 1.0, + "learning_rate": 1.2196544402764965e-11, + "loss": 2.7365, + "step": 4764 + }, + { + "epoch": 1.0, + "learning_rate": 5.420687625434795e-12, + "loss": 2.6669, + "step": 4765 + }, + { + "epoch": 1.0, + "learning_rate": 1.3551720901006094e-12, + "loss": 2.5921, + "step": 4766 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 2.6295, + "step": 4767 + }, + { + "epoch": 1.0, + "step": 4767, + "total_flos": 1.5788618829728317e+18, + "train_loss": 2.666367991955395, + "train_runtime": 12556.6581, + "train_samples_per_second": 48.594, + "train_steps_per_second": 0.38 + } + ], + "max_steps": 4767, + "num_train_epochs": 1, + "total_flos": 1.5788618829728317e+18, + "trial_name": null, + "trial_params": null +}