diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,24990 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 39.71360381861575, + "eval_steps": 500, + "global_step": 4160, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.01, + "learning_rate": 3.2e-07, + "loss": 11.0204, + "step": 1 + }, + { + "epoch": 0.02, + "learning_rate": 6.4e-07, + "loss": 11.3347, + "step": 2 + }, + { + "epoch": 0.03, + "learning_rate": 9.600000000000001e-07, + "loss": 11.3476, + "step": 3 + }, + { + "epoch": 0.04, + "learning_rate": 1.28e-06, + "loss": 11.3391, + "step": 4 + }, + { + "epoch": 0.05, + "learning_rate": 1.6000000000000001e-06, + "loss": 11.267, + "step": 5 + }, + { + "epoch": 0.06, + "learning_rate": 1.9200000000000003e-06, + "loss": 10.9396, + "step": 6 + }, + { + "epoch": 0.07, + "learning_rate": 2.24e-06, + "loss": 10.7839, + "step": 7 + }, + { + "epoch": 0.08, + "learning_rate": 2.56e-06, + "loss": 10.9837, + "step": 8 + }, + { + "epoch": 0.09, + "learning_rate": 2.88e-06, + "loss": 11.5088, + "step": 9 + }, + { + "epoch": 0.1, + "learning_rate": 3.2000000000000003e-06, + "loss": 11.3332, + "step": 10 + }, + { + "epoch": 0.11, + "learning_rate": 3.52e-06, + "loss": 11.306, + "step": 11 + }, + { + "epoch": 0.11, + "learning_rate": 3.8400000000000005e-06, + "loss": 11.3648, + "step": 12 + }, + { + "epoch": 0.12, + "learning_rate": 4.16e-06, + "loss": 11.2193, + "step": 13 + }, + { + "epoch": 0.13, + "learning_rate": 4.48e-06, + "loss": 11.3217, + "step": 14 + }, + { + "epoch": 0.14, + "learning_rate": 4.800000000000001e-06, + "loss": 11.2179, + "step": 15 + }, + { + "epoch": 0.15, + "learning_rate": 5.12e-06, + "loss": 11.1602, + "step": 16 + }, + { + "epoch": 0.16, + "learning_rate": 5.4400000000000004e-06, + "loss": 10.954, + "step": 17 + }, + { + "epoch": 0.17, + "learning_rate": 5.76e-06, + "loss": 10.9509, + "step": 18 + }, + { + "epoch": 0.18, + "learning_rate": 6.08e-06, + "loss": 10.8129, + "step": 19 + }, + { + "epoch": 0.19, + "learning_rate": 6.4000000000000006e-06, + "loss": 11.018, + "step": 20 + }, + { + "epoch": 0.2, + "learning_rate": 6.720000000000001e-06, + "loss": 11.202, + "step": 21 + }, + { + "epoch": 0.21, + "learning_rate": 7.04e-06, + "loss": 11.042, + "step": 22 + }, + { + "epoch": 0.22, + "learning_rate": 7.360000000000001e-06, + "loss": 11.1543, + "step": 23 + }, + { + "epoch": 0.23, + "learning_rate": 7.680000000000001e-06, + "loss": 11.1336, + "step": 24 + }, + { + "epoch": 0.24, + "learning_rate": 8.000000000000001e-06, + "loss": 10.8363, + "step": 25 + }, + { + "epoch": 0.25, + "learning_rate": 8.32e-06, + "loss": 10.9331, + "step": 26 + }, + { + "epoch": 0.26, + "learning_rate": 8.64e-06, + "loss": 10.9245, + "step": 27 + }, + { + "epoch": 0.27, + "learning_rate": 8.96e-06, + "loss": 10.9523, + "step": 28 + }, + { + "epoch": 0.28, + "learning_rate": 9.280000000000001e-06, + "loss": 10.914, + "step": 29 + }, + { + "epoch": 0.29, + "learning_rate": 9.600000000000001e-06, + "loss": 11.2724, + "step": 30 + }, + { + "epoch": 0.3, + "learning_rate": 9.920000000000002e-06, + "loss": 10.5219, + "step": 31 + }, + { + "epoch": 0.31, + "learning_rate": 1.024e-05, + "loss": 10.2882, + "step": 32 + }, + { + "epoch": 0.32, + "learning_rate": 1.056e-05, + "loss": 10.713, + "step": 33 + }, + { + "epoch": 0.32, + "learning_rate": 1.0880000000000001e-05, + "loss": 10.3878, + "step": 34 + }, + { + "epoch": 0.33, + "learning_rate": 1.1200000000000001e-05, + "loss": 10.6873, + "step": 35 + }, + { + "epoch": 0.34, + "learning_rate": 1.152e-05, + "loss": 11.094, + "step": 36 + }, + { + "epoch": 0.35, + "learning_rate": 1.184e-05, + "loss": 10.5487, + "step": 37 + }, + { + "epoch": 0.36, + "learning_rate": 1.216e-05, + "loss": 10.7119, + "step": 38 + }, + { + "epoch": 0.37, + "learning_rate": 1.248e-05, + "loss": 10.9098, + "step": 39 + }, + { + "epoch": 0.38, + "learning_rate": 1.2800000000000001e-05, + "loss": 10.1222, + "step": 40 + }, + { + "epoch": 0.39, + "learning_rate": 1.3120000000000001e-05, + "loss": 10.4132, + "step": 41 + }, + { + "epoch": 0.4, + "learning_rate": 1.3440000000000002e-05, + "loss": 10.2507, + "step": 42 + }, + { + "epoch": 0.41, + "learning_rate": 1.376e-05, + "loss": 10.4431, + "step": 43 + }, + { + "epoch": 0.42, + "learning_rate": 1.408e-05, + "loss": 10.2475, + "step": 44 + }, + { + "epoch": 0.43, + "learning_rate": 1.4400000000000001e-05, + "loss": 10.3885, + "step": 45 + }, + { + "epoch": 0.44, + "learning_rate": 1.4720000000000001e-05, + "loss": 10.5804, + "step": 46 + }, + { + "epoch": 0.45, + "learning_rate": 1.5040000000000002e-05, + "loss": 9.9755, + "step": 47 + }, + { + "epoch": 0.46, + "learning_rate": 1.5360000000000002e-05, + "loss": 10.5727, + "step": 48 + }, + { + "epoch": 0.47, + "learning_rate": 1.5680000000000002e-05, + "loss": 10.9149, + "step": 49 + }, + { + "epoch": 0.48, + "learning_rate": 1.6000000000000003e-05, + "loss": 10.2608, + "step": 50 + }, + { + "epoch": 0.49, + "learning_rate": 1.632e-05, + "loss": 10.3188, + "step": 51 + }, + { + "epoch": 0.5, + "learning_rate": 1.664e-05, + "loss": 10.1081, + "step": 52 + }, + { + "epoch": 0.51, + "learning_rate": 1.696e-05, + "loss": 10.2614, + "step": 53 + }, + { + "epoch": 0.52, + "learning_rate": 1.728e-05, + "loss": 10.0735, + "step": 54 + }, + { + "epoch": 0.53, + "learning_rate": 1.76e-05, + "loss": 9.9587, + "step": 55 + }, + { + "epoch": 0.53, + "learning_rate": 1.792e-05, + "loss": 9.7899, + "step": 56 + }, + { + "epoch": 0.54, + "learning_rate": 1.824e-05, + "loss": 9.7827, + "step": 57 + }, + { + "epoch": 0.55, + "learning_rate": 1.8560000000000002e-05, + "loss": 9.437, + "step": 58 + }, + { + "epoch": 0.56, + "learning_rate": 1.8880000000000002e-05, + "loss": 9.7448, + "step": 59 + }, + { + "epoch": 0.57, + "learning_rate": 1.9200000000000003e-05, + "loss": 9.7051, + "step": 60 + }, + { + "epoch": 0.58, + "learning_rate": 1.9520000000000003e-05, + "loss": 9.4802, + "step": 61 + }, + { + "epoch": 0.59, + "learning_rate": 1.9840000000000003e-05, + "loss": 9.7981, + "step": 62 + }, + { + "epoch": 0.6, + "learning_rate": 2.016e-05, + "loss": 9.1369, + "step": 63 + }, + { + "epoch": 0.61, + "learning_rate": 2.048e-05, + "loss": 9.3745, + "step": 64 + }, + { + "epoch": 0.62, + "learning_rate": 2.08e-05, + "loss": 9.4374, + "step": 65 + }, + { + "epoch": 0.63, + "learning_rate": 2.112e-05, + "loss": 9.3749, + "step": 66 + }, + { + "epoch": 0.64, + "learning_rate": 2.144e-05, + "loss": 8.9771, + "step": 67 + }, + { + "epoch": 0.65, + "learning_rate": 2.1760000000000002e-05, + "loss": 9.182, + "step": 68 + }, + { + "epoch": 0.66, + "learning_rate": 2.2080000000000002e-05, + "loss": 9.0217, + "step": 69 + }, + { + "epoch": 0.67, + "learning_rate": 2.2400000000000002e-05, + "loss": 8.7273, + "step": 70 + }, + { + "epoch": 0.68, + "learning_rate": 2.272e-05, + "loss": 9.3724, + "step": 71 + }, + { + "epoch": 0.69, + "learning_rate": 2.304e-05, + "loss": 9.0563, + "step": 72 + }, + { + "epoch": 0.7, + "learning_rate": 2.336e-05, + "loss": 8.7496, + "step": 73 + }, + { + "epoch": 0.71, + "learning_rate": 2.368e-05, + "loss": 8.5054, + "step": 74 + }, + { + "epoch": 0.72, + "learning_rate": 2.4e-05, + "loss": 8.6348, + "step": 75 + }, + { + "epoch": 0.73, + "learning_rate": 2.432e-05, + "loss": 8.722, + "step": 76 + }, + { + "epoch": 0.74, + "learning_rate": 2.464e-05, + "loss": 8.4592, + "step": 77 + }, + { + "epoch": 0.74, + "learning_rate": 2.496e-05, + "loss": 8.3022, + "step": 78 + }, + { + "epoch": 0.75, + "learning_rate": 2.5280000000000002e-05, + "loss": 8.1664, + "step": 79 + }, + { + "epoch": 0.76, + "learning_rate": 2.5600000000000002e-05, + "loss": 8.065, + "step": 80 + }, + { + "epoch": 0.77, + "learning_rate": 2.5920000000000003e-05, + "loss": 8.2835, + "step": 81 + }, + { + "epoch": 0.78, + "learning_rate": 2.6240000000000003e-05, + "loss": 8.6761, + "step": 82 + }, + { + "epoch": 0.79, + "learning_rate": 2.6560000000000003e-05, + "loss": 8.1914, + "step": 83 + }, + { + "epoch": 0.8, + "learning_rate": 2.6880000000000004e-05, + "loss": 7.5376, + "step": 84 + }, + { + "epoch": 0.81, + "learning_rate": 2.7200000000000004e-05, + "loss": 8.0574, + "step": 85 + }, + { + "epoch": 0.82, + "learning_rate": 2.752e-05, + "loss": 7.9332, + "step": 86 + }, + { + "epoch": 0.83, + "learning_rate": 2.784e-05, + "loss": 7.9181, + "step": 87 + }, + { + "epoch": 0.84, + "learning_rate": 2.816e-05, + "loss": 7.2633, + "step": 88 + }, + { + "epoch": 0.85, + "learning_rate": 2.8480000000000002e-05, + "loss": 8.0332, + "step": 89 + }, + { + "epoch": 0.86, + "learning_rate": 2.8800000000000002e-05, + "loss": 7.1838, + "step": 90 + }, + { + "epoch": 0.87, + "learning_rate": 2.9120000000000002e-05, + "loss": 7.491, + "step": 91 + }, + { + "epoch": 0.88, + "learning_rate": 2.9440000000000003e-05, + "loss": 7.3537, + "step": 92 + }, + { + "epoch": 0.89, + "learning_rate": 2.9760000000000003e-05, + "loss": 7.3017, + "step": 93 + }, + { + "epoch": 0.9, + "learning_rate": 3.0080000000000003e-05, + "loss": 7.2696, + "step": 94 + }, + { + "epoch": 0.91, + "learning_rate": 3.0400000000000004e-05, + "loss": 7.2796, + "step": 95 + }, + { + "epoch": 0.92, + "learning_rate": 3.0720000000000004e-05, + "loss": 7.1639, + "step": 96 + }, + { + "epoch": 0.93, + "learning_rate": 3.104e-05, + "loss": 6.6451, + "step": 97 + }, + { + "epoch": 0.94, + "learning_rate": 3.1360000000000005e-05, + "loss": 6.8562, + "step": 98 + }, + { + "epoch": 0.95, + "learning_rate": 3.168e-05, + "loss": 6.6974, + "step": 99 + }, + { + "epoch": 0.95, + "learning_rate": 3.2000000000000005e-05, + "loss": 6.8668, + "step": 100 + }, + { + "epoch": 0.96, + "learning_rate": 3.232e-05, + "loss": 6.2042, + "step": 101 + }, + { + "epoch": 0.97, + "learning_rate": 3.264e-05, + "loss": 6.8482, + "step": 102 + }, + { + "epoch": 0.98, + "learning_rate": 3.296e-05, + "loss": 6.0705, + "step": 103 + }, + { + "epoch": 0.99, + "learning_rate": 3.328e-05, + "loss": 6.5763, + "step": 104 + }, + { + "epoch": 1.0, + "learning_rate": 3.3600000000000004e-05, + "loss": 6.0628, + "step": 105 + }, + { + "epoch": 1.01, + "learning_rate": 3.392e-05, + "loss": 5.8228, + "step": 106 + }, + { + "epoch": 1.02, + "learning_rate": 3.4240000000000004e-05, + "loss": 5.6121, + "step": 107 + }, + { + "epoch": 1.03, + "learning_rate": 3.456e-05, + "loss": 5.6801, + "step": 108 + }, + { + "epoch": 1.04, + "learning_rate": 3.4880000000000005e-05, + "loss": 5.4932, + "step": 109 + }, + { + "epoch": 1.05, + "learning_rate": 3.52e-05, + "loss": 5.6401, + "step": 110 + }, + { + "epoch": 1.06, + "learning_rate": 3.5520000000000006e-05, + "loss": 6.0535, + "step": 111 + }, + { + "epoch": 1.07, + "learning_rate": 3.584e-05, + "loss": 5.3048, + "step": 112 + }, + { + "epoch": 1.08, + "learning_rate": 3.6160000000000006e-05, + "loss": 5.0982, + "step": 113 + }, + { + "epoch": 1.09, + "learning_rate": 3.648e-05, + "loss": 5.5283, + "step": 114 + }, + { + "epoch": 1.1, + "learning_rate": 3.680000000000001e-05, + "loss": 5.1939, + "step": 115 + }, + { + "epoch": 1.11, + "learning_rate": 3.7120000000000004e-05, + "loss": 4.8522, + "step": 116 + }, + { + "epoch": 1.12, + "learning_rate": 3.744000000000001e-05, + "loss": 5.0927, + "step": 117 + }, + { + "epoch": 1.13, + "learning_rate": 3.7760000000000004e-05, + "loss": 5.0574, + "step": 118 + }, + { + "epoch": 1.14, + "learning_rate": 3.808e-05, + "loss": 4.7663, + "step": 119 + }, + { + "epoch": 1.15, + "learning_rate": 3.8400000000000005e-05, + "loss": 5.0567, + "step": 120 + }, + { + "epoch": 1.16, + "learning_rate": 3.872e-05, + "loss": 4.4498, + "step": 121 + }, + { + "epoch": 1.16, + "learning_rate": 3.9040000000000006e-05, + "loss": 3.845, + "step": 122 + }, + { + "epoch": 1.17, + "learning_rate": 3.936e-05, + "loss": 4.1361, + "step": 123 + }, + { + "epoch": 1.18, + "learning_rate": 3.9680000000000006e-05, + "loss": 3.9414, + "step": 124 + }, + { + "epoch": 1.19, + "learning_rate": 4e-05, + "loss": 3.5702, + "step": 125 + }, + { + "epoch": 1.2, + "learning_rate": 3.999999393804588e-05, + "loss": 4.1496, + "step": 126 + }, + { + "epoch": 1.21, + "learning_rate": 3.999997575218719e-05, + "loss": 4.0599, + "step": 127 + }, + { + "epoch": 1.22, + "learning_rate": 3.999994544243494e-05, + "loss": 3.1602, + "step": 128 + }, + { + "epoch": 1.23, + "learning_rate": 3.999990300880752e-05, + "loss": 3.4558, + "step": 129 + }, + { + "epoch": 1.24, + "learning_rate": 3.999984845133065e-05, + "loss": 3.9421, + "step": 130 + }, + { + "epoch": 1.25, + "learning_rate": 3.9999781770037406e-05, + "loss": 3.0506, + "step": 131 + }, + { + "epoch": 1.26, + "learning_rate": 3.99997029649682e-05, + "loss": 3.4821, + "step": 132 + }, + { + "epoch": 1.27, + "learning_rate": 3.99996120361708e-05, + "loss": 3.7568, + "step": 133 + }, + { + "epoch": 1.28, + "learning_rate": 3.999950898370035e-05, + "loss": 3.3811, + "step": 134 + }, + { + "epoch": 1.29, + "learning_rate": 3.9999393807619294e-05, + "loss": 3.3683, + "step": 135 + }, + { + "epoch": 1.3, + "learning_rate": 3.999926650799746e-05, + "loss": 3.4777, + "step": 136 + }, + { + "epoch": 1.31, + "learning_rate": 3.999912708491203e-05, + "loss": 3.4818, + "step": 137 + }, + { + "epoch": 1.32, + "learning_rate": 3.999897553844751e-05, + "loss": 2.9197, + "step": 138 + }, + { + "epoch": 1.33, + "learning_rate": 3.999881186869576e-05, + "loss": 2.775, + "step": 139 + }, + { + "epoch": 1.34, + "learning_rate": 3.9998636075755996e-05, + "loss": 3.7353, + "step": 140 + }, + { + "epoch": 1.35, + "learning_rate": 3.99984481597348e-05, + "loss": 2.716, + "step": 141 + }, + { + "epoch": 1.36, + "learning_rate": 3.9998248120746075e-05, + "loss": 2.747, + "step": 142 + }, + { + "epoch": 1.37, + "learning_rate": 3.999803595891107e-05, + "loss": 2.726, + "step": 143 + }, + { + "epoch": 1.37, + "learning_rate": 3.999781167435843e-05, + "loss": 2.6198, + "step": 144 + }, + { + "epoch": 1.38, + "learning_rate": 3.999757526722409e-05, + "loss": 3.0415, + "step": 145 + }, + { + "epoch": 1.39, + "learning_rate": 3.9997326737651356e-05, + "loss": 2.8551, + "step": 146 + }, + { + "epoch": 1.4, + "learning_rate": 3.99970660857909e-05, + "loss": 2.991, + "step": 147 + }, + { + "epoch": 1.41, + "learning_rate": 3.9996793311800726e-05, + "loss": 3.0855, + "step": 148 + }, + { + "epoch": 1.42, + "learning_rate": 3.999650841584618e-05, + "loss": 2.4385, + "step": 149 + }, + { + "epoch": 1.43, + "learning_rate": 3.999621139809997e-05, + "loss": 2.8965, + "step": 150 + }, + { + "epoch": 1.44, + "learning_rate": 3.999590225874215e-05, + "loss": 2.675, + "step": 151 + }, + { + "epoch": 1.45, + "learning_rate": 3.9995580997960116e-05, + "loss": 2.8499, + "step": 152 + }, + { + "epoch": 1.46, + "learning_rate": 3.9995247615948605e-05, + "loss": 2.3093, + "step": 153 + }, + { + "epoch": 1.47, + "learning_rate": 3.999490211290973e-05, + "loss": 2.6816, + "step": 154 + }, + { + "epoch": 1.48, + "learning_rate": 3.999454448905291e-05, + "loss": 2.7959, + "step": 155 + }, + { + "epoch": 1.49, + "learning_rate": 3.9994174744594964e-05, + "loss": 2.4642, + "step": 156 + }, + { + "epoch": 1.5, + "learning_rate": 3.999379287976e-05, + "loss": 2.9953, + "step": 157 + }, + { + "epoch": 1.51, + "learning_rate": 3.999339889477953e-05, + "loss": 2.4893, + "step": 158 + }, + { + "epoch": 1.52, + "learning_rate": 3.999299278989236e-05, + "loss": 2.6044, + "step": 159 + }, + { + "epoch": 1.53, + "learning_rate": 3.999257456534469e-05, + "loss": 2.4149, + "step": 160 + }, + { + "epoch": 1.54, + "learning_rate": 3.999214422139003e-05, + "loss": 2.5528, + "step": 161 + }, + { + "epoch": 1.55, + "learning_rate": 3.999170175828927e-05, + "loss": 2.456, + "step": 162 + }, + { + "epoch": 1.56, + "learning_rate": 3.999124717631062e-05, + "loss": 2.4515, + "step": 163 + }, + { + "epoch": 1.57, + "learning_rate": 3.999078047572963e-05, + "loss": 3.3029, + "step": 164 + }, + { + "epoch": 1.58, + "learning_rate": 3.999030165682924e-05, + "loss": 2.1499, + "step": 165 + }, + { + "epoch": 1.58, + "learning_rate": 3.998981071989969e-05, + "loss": 2.6567, + "step": 166 + }, + { + "epoch": 1.59, + "learning_rate": 3.998930766523859e-05, + "loss": 2.2189, + "step": 167 + }, + { + "epoch": 1.6, + "learning_rate": 3.998879249315087e-05, + "loss": 2.4112, + "step": 168 + }, + { + "epoch": 1.61, + "learning_rate": 3.9988265203948866e-05, + "loss": 2.15, + "step": 169 + }, + { + "epoch": 1.62, + "learning_rate": 3.9987725797952184e-05, + "loss": 2.4861, + "step": 170 + }, + { + "epoch": 1.63, + "learning_rate": 3.9987174275487814e-05, + "loss": 2.2275, + "step": 171 + }, + { + "epoch": 1.64, + "learning_rate": 3.99866106368901e-05, + "loss": 2.3135, + "step": 172 + }, + { + "epoch": 1.65, + "learning_rate": 3.998603488250071e-05, + "loss": 2.119, + "step": 173 + }, + { + "epoch": 1.66, + "learning_rate": 3.998544701266866e-05, + "loss": 2.4417, + "step": 174 + }, + { + "epoch": 1.67, + "learning_rate": 3.9984847027750316e-05, + "loss": 2.1587, + "step": 175 + }, + { + "epoch": 1.68, + "learning_rate": 3.998423492810939e-05, + "loss": 2.1858, + "step": 176 + }, + { + "epoch": 1.69, + "learning_rate": 3.998361071411693e-05, + "loss": 2.7351, + "step": 177 + }, + { + "epoch": 1.7, + "learning_rate": 3.998297438615134e-05, + "loss": 2.2138, + "step": 178 + }, + { + "epoch": 1.71, + "learning_rate": 3.998232594459834e-05, + "loss": 2.359, + "step": 179 + }, + { + "epoch": 1.72, + "learning_rate": 3.998166538985103e-05, + "loss": 2.2938, + "step": 180 + }, + { + "epoch": 1.73, + "learning_rate": 3.9980992722309826e-05, + "loss": 1.8524, + "step": 181 + }, + { + "epoch": 1.74, + "learning_rate": 3.9980307942382504e-05, + "loss": 2.0487, + "step": 182 + }, + { + "epoch": 1.75, + "learning_rate": 3.997961105048417e-05, + "loss": 2.5457, + "step": 183 + }, + { + "epoch": 1.76, + "learning_rate": 3.9978902047037274e-05, + "loss": 2.3876, + "step": 184 + }, + { + "epoch": 1.77, + "learning_rate": 3.997818093247162e-05, + "loss": 2.1367, + "step": 185 + }, + { + "epoch": 1.78, + "learning_rate": 3.997744770722433e-05, + "loss": 2.0066, + "step": 186 + }, + { + "epoch": 1.79, + "learning_rate": 3.997670237173989e-05, + "loss": 2.0063, + "step": 187 + }, + { + "epoch": 1.79, + "learning_rate": 3.997594492647012e-05, + "loss": 2.1464, + "step": 188 + }, + { + "epoch": 1.8, + "learning_rate": 3.997517537187417e-05, + "loss": 2.3061, + "step": 189 + }, + { + "epoch": 1.81, + "learning_rate": 3.9974393708418556e-05, + "loss": 1.9546, + "step": 190 + }, + { + "epoch": 1.82, + "learning_rate": 3.9973599936577113e-05, + "loss": 1.9901, + "step": 191 + }, + { + "epoch": 1.83, + "learning_rate": 3.997279405683102e-05, + "loss": 2.1708, + "step": 192 + }, + { + "epoch": 1.84, + "learning_rate": 3.9971976069668796e-05, + "loss": 2.1633, + "step": 193 + }, + { + "epoch": 1.85, + "learning_rate": 3.99711459755863e-05, + "loss": 2.182, + "step": 194 + }, + { + "epoch": 1.86, + "learning_rate": 3.997030377508674e-05, + "loss": 2.0662, + "step": 195 + }, + { + "epoch": 1.87, + "learning_rate": 3.996944946868064e-05, + "loss": 1.8501, + "step": 196 + }, + { + "epoch": 1.88, + "learning_rate": 3.9968583056885895e-05, + "loss": 2.2849, + "step": 197 + }, + { + "epoch": 1.89, + "learning_rate": 3.9967704540227705e-05, + "loss": 2.0672, + "step": 198 + }, + { + "epoch": 1.9, + "learning_rate": 3.996681391923863e-05, + "loss": 2.0908, + "step": 199 + }, + { + "epoch": 1.91, + "learning_rate": 3.996591119445855e-05, + "loss": 2.0238, + "step": 200 + }, + { + "epoch": 1.92, + "learning_rate": 3.996499636643471e-05, + "loss": 2.2432, + "step": 201 + }, + { + "epoch": 1.93, + "learning_rate": 3.996406943572166e-05, + "loss": 2.2882, + "step": 202 + }, + { + "epoch": 1.94, + "learning_rate": 3.99631304028813e-05, + "loss": 2.0137, + "step": 203 + }, + { + "epoch": 1.95, + "learning_rate": 3.9962179268482886e-05, + "loss": 2.3796, + "step": 204 + }, + { + "epoch": 1.96, + "learning_rate": 3.996121603310298e-05, + "loss": 2.0705, + "step": 205 + }, + { + "epoch": 1.97, + "learning_rate": 3.996024069732547e-05, + "loss": 2.4449, + "step": 206 + }, + { + "epoch": 1.98, + "learning_rate": 3.9959253261741644e-05, + "loss": 2.4706, + "step": 207 + }, + { + "epoch": 1.99, + "learning_rate": 3.995825372695004e-05, + "loss": 1.9789, + "step": 208 + }, + { + "epoch": 2.0, + "learning_rate": 3.99572420935566e-05, + "loss": 2.0935, + "step": 209 + }, + { + "epoch": 2.0, + "learning_rate": 3.995621836217455e-05, + "loss": 1.7726, + "step": 210 + }, + { + "epoch": 2.01, + "learning_rate": 3.9955182533424485e-05, + "loss": 2.1901, + "step": 211 + }, + { + "epoch": 2.02, + "learning_rate": 3.995413460793431e-05, + "loss": 1.9201, + "step": 212 + }, + { + "epoch": 2.03, + "learning_rate": 3.9953074586339284e-05, + "loss": 2.2675, + "step": 213 + }, + { + "epoch": 2.04, + "learning_rate": 3.995200246928198e-05, + "loss": 2.0339, + "step": 214 + }, + { + "epoch": 2.05, + "learning_rate": 3.995091825741231e-05, + "loss": 2.1921, + "step": 215 + }, + { + "epoch": 2.06, + "learning_rate": 3.994982195138753e-05, + "loss": 2.1918, + "step": 216 + }, + { + "epoch": 2.07, + "learning_rate": 3.9948713551872196e-05, + "loss": 2.136, + "step": 217 + }, + { + "epoch": 2.08, + "learning_rate": 3.994759305953822e-05, + "loss": 1.9141, + "step": 218 + }, + { + "epoch": 2.09, + "learning_rate": 3.994646047506485e-05, + "loss": 2.1534, + "step": 219 + }, + { + "epoch": 2.1, + "learning_rate": 3.994531579913865e-05, + "loss": 2.4727, + "step": 220 + }, + { + "epoch": 2.11, + "learning_rate": 3.994415903245351e-05, + "loss": 2.1083, + "step": 221 + }, + { + "epoch": 2.12, + "learning_rate": 3.994299017571066e-05, + "loss": 1.6178, + "step": 222 + }, + { + "epoch": 2.13, + "learning_rate": 3.994180922961867e-05, + "loss": 2.0044, + "step": 223 + }, + { + "epoch": 2.14, + "learning_rate": 3.9940616194893396e-05, + "loss": 1.9348, + "step": 224 + }, + { + "epoch": 2.15, + "learning_rate": 3.9939411072258066e-05, + "loss": 2.1713, + "step": 225 + }, + { + "epoch": 2.16, + "learning_rate": 3.9938193862443225e-05, + "loss": 1.9399, + "step": 226 + }, + { + "epoch": 2.17, + "learning_rate": 3.9936964566186735e-05, + "loss": 2.2397, + "step": 227 + }, + { + "epoch": 2.18, + "learning_rate": 3.993572318423379e-05, + "loss": 1.853, + "step": 228 + }, + { + "epoch": 2.19, + "learning_rate": 3.99344697173369e-05, + "loss": 2.1389, + "step": 229 + }, + { + "epoch": 2.2, + "learning_rate": 3.993320416625592e-05, + "loss": 1.7419, + "step": 230 + }, + { + "epoch": 2.21, + "learning_rate": 3.993192653175803e-05, + "loss": 2.2572, + "step": 231 + }, + { + "epoch": 2.21, + "learning_rate": 3.993063681461771e-05, + "loss": 1.7286, + "step": 232 + }, + { + "epoch": 2.22, + "learning_rate": 3.992933501561679e-05, + "loss": 1.4725, + "step": 233 + }, + { + "epoch": 2.23, + "learning_rate": 3.992802113554441e-05, + "loss": 1.9852, + "step": 234 + }, + { + "epoch": 2.24, + "learning_rate": 3.992669517519705e-05, + "loss": 1.5181, + "step": 235 + }, + { + "epoch": 2.25, + "learning_rate": 3.992535713537848e-05, + "loss": 2.2897, + "step": 236 + }, + { + "epoch": 2.26, + "learning_rate": 3.992400701689983e-05, + "loss": 1.8499, + "step": 237 + }, + { + "epoch": 2.27, + "learning_rate": 3.992264482057953e-05, + "loss": 1.6927, + "step": 238 + }, + { + "epoch": 2.28, + "learning_rate": 3.992127054724333e-05, + "loss": 2.336, + "step": 239 + }, + { + "epoch": 2.29, + "learning_rate": 3.991988419772433e-05, + "loss": 1.7773, + "step": 240 + }, + { + "epoch": 2.3, + "learning_rate": 3.99184857728629e-05, + "loss": 1.9823, + "step": 241 + }, + { + "epoch": 2.31, + "learning_rate": 3.991707527350679e-05, + "loss": 1.9172, + "step": 242 + }, + { + "epoch": 2.32, + "learning_rate": 3.991565270051101e-05, + "loss": 2.4358, + "step": 243 + }, + { + "epoch": 2.33, + "learning_rate": 3.991421805473793e-05, + "loss": 2.5147, + "step": 244 + }, + { + "epoch": 2.34, + "learning_rate": 3.991277133705723e-05, + "loss": 1.5019, + "step": 245 + }, + { + "epoch": 2.35, + "learning_rate": 3.991131254834589e-05, + "loss": 2.3903, + "step": 246 + }, + { + "epoch": 2.36, + "learning_rate": 3.9909841689488235e-05, + "loss": 2.6465, + "step": 247 + }, + { + "epoch": 2.37, + "learning_rate": 3.990835876137589e-05, + "loss": 1.8536, + "step": 248 + }, + { + "epoch": 2.38, + "learning_rate": 3.990686376490779e-05, + "loss": 2.3167, + "step": 249 + }, + { + "epoch": 2.39, + "learning_rate": 3.990535670099021e-05, + "loss": 1.953, + "step": 250 + }, + { + "epoch": 2.4, + "learning_rate": 3.9903837570536704e-05, + "loss": 1.8831, + "step": 251 + }, + { + "epoch": 2.41, + "learning_rate": 3.9902306374468186e-05, + "loss": 1.6854, + "step": 252 + }, + { + "epoch": 2.42, + "learning_rate": 3.990076311371284e-05, + "loss": 2.2017, + "step": 253 + }, + { + "epoch": 2.42, + "learning_rate": 3.9899207789206196e-05, + "loss": 2.0832, + "step": 254 + }, + { + "epoch": 2.43, + "learning_rate": 3.989764040189108e-05, + "loss": 1.8489, + "step": 255 + }, + { + "epoch": 2.44, + "learning_rate": 3.989606095271764e-05, + "loss": 1.8991, + "step": 256 + }, + { + "epoch": 2.45, + "learning_rate": 3.989446944264332e-05, + "loss": 2.1151, + "step": 257 + }, + { + "epoch": 2.46, + "learning_rate": 3.989286587263289e-05, + "loss": 1.7424, + "step": 258 + }, + { + "epoch": 2.47, + "learning_rate": 3.989125024365844e-05, + "loss": 1.5999, + "step": 259 + }, + { + "epoch": 2.48, + "learning_rate": 3.988962255669933e-05, + "loss": 1.8225, + "step": 260 + }, + { + "epoch": 2.49, + "learning_rate": 3.9887982812742295e-05, + "loss": 1.8642, + "step": 261 + }, + { + "epoch": 2.5, + "learning_rate": 3.98863310127813e-05, + "loss": 2.095, + "step": 262 + }, + { + "epoch": 2.51, + "learning_rate": 3.9884667157817685e-05, + "loss": 1.9813, + "step": 263 + }, + { + "epoch": 2.52, + "learning_rate": 3.988299124886006e-05, + "loss": 2.0172, + "step": 264 + }, + { + "epoch": 2.53, + "learning_rate": 3.9881303286924356e-05, + "loss": 2.1506, + "step": 265 + }, + { + "epoch": 2.54, + "learning_rate": 3.987960327303381e-05, + "loss": 1.4285, + "step": 266 + }, + { + "epoch": 2.55, + "learning_rate": 3.9877891208218956e-05, + "loss": 1.7106, + "step": 267 + }, + { + "epoch": 2.56, + "learning_rate": 3.9876167093517654e-05, + "loss": 1.834, + "step": 268 + }, + { + "epoch": 2.57, + "learning_rate": 3.987443092997503e-05, + "loss": 2.261, + "step": 269 + }, + { + "epoch": 2.58, + "learning_rate": 3.987268271864356e-05, + "loss": 2.3845, + "step": 270 + }, + { + "epoch": 2.59, + "learning_rate": 3.9870922460583e-05, + "loss": 1.8182, + "step": 271 + }, + { + "epoch": 2.6, + "learning_rate": 3.98691501568604e-05, + "loss": 1.3387, + "step": 272 + }, + { + "epoch": 2.61, + "learning_rate": 3.986736580855013e-05, + "loss": 2.1228, + "step": 273 + }, + { + "epoch": 2.62, + "learning_rate": 3.986556941673385e-05, + "loss": 2.0708, + "step": 274 + }, + { + "epoch": 2.63, + "learning_rate": 3.9863760982500526e-05, + "loss": 1.5791, + "step": 275 + }, + { + "epoch": 2.63, + "learning_rate": 3.986194050694642e-05, + "loss": 2.2648, + "step": 276 + }, + { + "epoch": 2.64, + "learning_rate": 3.98601079911751e-05, + "loss": 1.2487, + "step": 277 + }, + { + "epoch": 2.65, + "learning_rate": 3.985826343629743e-05, + "loss": 1.9657, + "step": 278 + }, + { + "epoch": 2.66, + "learning_rate": 3.9856406843431556e-05, + "loss": 1.881, + "step": 279 + }, + { + "epoch": 2.67, + "learning_rate": 3.9854538213702963e-05, + "loss": 2.0767, + "step": 280 + }, + { + "epoch": 2.68, + "learning_rate": 3.985265754824438e-05, + "loss": 1.7936, + "step": 281 + }, + { + "epoch": 2.69, + "learning_rate": 3.985076484819588e-05, + "loss": 1.9673, + "step": 282 + }, + { + "epoch": 2.7, + "learning_rate": 3.984886011470478e-05, + "loss": 1.6774, + "step": 283 + }, + { + "epoch": 2.71, + "learning_rate": 3.984694334892575e-05, + "loss": 2.1916, + "step": 284 + }, + { + "epoch": 2.72, + "learning_rate": 3.984501455202071e-05, + "loss": 1.5492, + "step": 285 + }, + { + "epoch": 2.73, + "learning_rate": 3.984307372515889e-05, + "loss": 1.7264, + "step": 286 + }, + { + "epoch": 2.74, + "learning_rate": 3.9841120869516815e-05, + "loss": 2.0507, + "step": 287 + }, + { + "epoch": 2.75, + "learning_rate": 3.9839155986278286e-05, + "loss": 1.9751, + "step": 288 + }, + { + "epoch": 2.76, + "learning_rate": 3.983717907663441e-05, + "loss": 2.1079, + "step": 289 + }, + { + "epoch": 2.77, + "learning_rate": 3.983519014178359e-05, + "loss": 1.7926, + "step": 290 + }, + { + "epoch": 2.78, + "learning_rate": 3.983318918293151e-05, + "loss": 2.0623, + "step": 291 + }, + { + "epoch": 2.79, + "learning_rate": 3.9831176201291126e-05, + "loss": 2.0077, + "step": 292 + }, + { + "epoch": 2.8, + "learning_rate": 3.982915119808271e-05, + "loss": 1.8915, + "step": 293 + }, + { + "epoch": 2.81, + "learning_rate": 3.9827114174533804e-05, + "loss": 1.7056, + "step": 294 + }, + { + "epoch": 2.82, + "learning_rate": 3.9825065131879246e-05, + "loss": 2.0389, + "step": 295 + }, + { + "epoch": 2.83, + "learning_rate": 3.9823004071361156e-05, + "loss": 1.8437, + "step": 296 + }, + { + "epoch": 2.84, + "learning_rate": 3.982093099422894e-05, + "loss": 1.7038, + "step": 297 + }, + { + "epoch": 2.84, + "learning_rate": 3.9818845901739284e-05, + "loss": 1.85, + "step": 298 + }, + { + "epoch": 2.85, + "learning_rate": 3.981674879515616e-05, + "loss": 1.8053, + "step": 299 + }, + { + "epoch": 2.86, + "learning_rate": 3.981463967575084e-05, + "loss": 1.5789, + "step": 300 + }, + { + "epoch": 2.87, + "learning_rate": 3.981251854480185e-05, + "loss": 1.5857, + "step": 301 + }, + { + "epoch": 2.88, + "learning_rate": 3.9810385403595004e-05, + "loss": 1.9362, + "step": 302 + }, + { + "epoch": 2.89, + "learning_rate": 3.9808240253423414e-05, + "loss": 1.8946, + "step": 303 + }, + { + "epoch": 2.9, + "learning_rate": 3.9806083095587456e-05, + "loss": 1.4918, + "step": 304 + }, + { + "epoch": 2.91, + "learning_rate": 3.9803913931394775e-05, + "loss": 2.2044, + "step": 305 + }, + { + "epoch": 2.92, + "learning_rate": 3.9801732762160344e-05, + "loss": 1.8376, + "step": 306 + }, + { + "epoch": 2.93, + "learning_rate": 3.979953958920634e-05, + "loss": 1.5853, + "step": 307 + }, + { + "epoch": 2.94, + "learning_rate": 3.9797334413862276e-05, + "loss": 2.1572, + "step": 308 + }, + { + "epoch": 2.95, + "learning_rate": 3.979511723746491e-05, + "loss": 1.8776, + "step": 309 + }, + { + "epoch": 2.96, + "learning_rate": 3.979288806135829e-05, + "loss": 2.0389, + "step": 310 + }, + { + "epoch": 2.97, + "learning_rate": 3.979064688689374e-05, + "loss": 1.7352, + "step": 311 + }, + { + "epoch": 2.98, + "learning_rate": 3.9788393715429825e-05, + "loss": 1.7567, + "step": 312 + }, + { + "epoch": 2.99, + "learning_rate": 3.978612854833243e-05, + "loss": 2.0867, + "step": 313 + }, + { + "epoch": 3.0, + "learning_rate": 3.9783851386974676e-05, + "loss": 1.8773, + "step": 314 + }, + { + "epoch": 3.01, + "learning_rate": 3.978156223273697e-05, + "loss": 1.5591, + "step": 315 + }, + { + "epoch": 3.02, + "learning_rate": 3.9779261087006994e-05, + "loss": 1.6834, + "step": 316 + }, + { + "epoch": 3.03, + "learning_rate": 3.977694795117969e-05, + "loss": 1.7154, + "step": 317 + }, + { + "epoch": 3.04, + "learning_rate": 3.977462282665726e-05, + "loss": 1.8139, + "step": 318 + }, + { + "epoch": 3.05, + "learning_rate": 3.97722857148492e-05, + "loss": 1.6217, + "step": 319 + }, + { + "epoch": 3.05, + "learning_rate": 3.976993661717224e-05, + "loss": 2.0896, + "step": 320 + }, + { + "epoch": 3.06, + "learning_rate": 3.9767575535050404e-05, + "loss": 1.4903, + "step": 321 + }, + { + "epoch": 3.07, + "learning_rate": 3.976520246991497e-05, + "loss": 1.7126, + "step": 322 + }, + { + "epoch": 3.08, + "learning_rate": 3.9762817423204465e-05, + "loss": 1.7513, + "step": 323 + }, + { + "epoch": 3.09, + "learning_rate": 3.976042039636471e-05, + "loss": 2.0055, + "step": 324 + }, + { + "epoch": 3.1, + "learning_rate": 3.975801139084876e-05, + "loss": 1.7137, + "step": 325 + }, + { + "epoch": 3.11, + "learning_rate": 3.9755590408116956e-05, + "loss": 1.8467, + "step": 326 + }, + { + "epoch": 3.12, + "learning_rate": 3.975315744963687e-05, + "loss": 2.3026, + "step": 327 + }, + { + "epoch": 3.13, + "learning_rate": 3.975071251688336e-05, + "loss": 1.5341, + "step": 328 + }, + { + "epoch": 3.14, + "learning_rate": 3.974825561133853e-05, + "loss": 1.7031, + "step": 329 + }, + { + "epoch": 3.15, + "learning_rate": 3.974578673449175e-05, + "loss": 1.4174, + "step": 330 + }, + { + "epoch": 3.16, + "learning_rate": 3.974330588783964e-05, + "loss": 1.7804, + "step": 331 + }, + { + "epoch": 3.17, + "learning_rate": 3.974081307288607e-05, + "loss": 1.9574, + "step": 332 + }, + { + "epoch": 3.18, + "learning_rate": 3.973830829114218e-05, + "loss": 1.8439, + "step": 333 + }, + { + "epoch": 3.19, + "learning_rate": 3.973579154412636e-05, + "loss": 2.0215, + "step": 334 + }, + { + "epoch": 3.2, + "learning_rate": 3.973326283336424e-05, + "loss": 1.7691, + "step": 335 + }, + { + "epoch": 3.21, + "learning_rate": 3.973072216038873e-05, + "loss": 1.7592, + "step": 336 + }, + { + "epoch": 3.22, + "learning_rate": 3.972816952673995e-05, + "loss": 1.8082, + "step": 337 + }, + { + "epoch": 3.23, + "learning_rate": 3.972560493396532e-05, + "loss": 1.5441, + "step": 338 + }, + { + "epoch": 3.24, + "learning_rate": 3.9723028383619476e-05, + "loss": 1.8546, + "step": 339 + }, + { + "epoch": 3.25, + "learning_rate": 3.97204398772643e-05, + "loss": 1.8961, + "step": 340 + }, + { + "epoch": 3.26, + "learning_rate": 3.9717839416468944e-05, + "loss": 1.7397, + "step": 341 + }, + { + "epoch": 3.26, + "learning_rate": 3.971522700280979e-05, + "loss": 1.5469, + "step": 342 + }, + { + "epoch": 3.27, + "learning_rate": 3.9712602637870475e-05, + "loss": 1.6812, + "step": 343 + }, + { + "epoch": 3.28, + "learning_rate": 3.970996632324187e-05, + "loss": 1.7073, + "step": 344 + }, + { + "epoch": 3.29, + "learning_rate": 3.970731806052211e-05, + "loss": 1.5709, + "step": 345 + }, + { + "epoch": 3.3, + "learning_rate": 3.970465785131655e-05, + "loss": 2.1812, + "step": 346 + }, + { + "epoch": 3.31, + "learning_rate": 3.970198569723779e-05, + "loss": 2.0034, + "step": 347 + }, + { + "epoch": 3.32, + "learning_rate": 3.96993015999057e-05, + "loss": 1.6972, + "step": 348 + }, + { + "epoch": 3.33, + "learning_rate": 3.969660556094735e-05, + "loss": 1.5039, + "step": 349 + }, + { + "epoch": 3.34, + "learning_rate": 3.9693897581997064e-05, + "loss": 1.6024, + "step": 350 + }, + { + "epoch": 3.35, + "learning_rate": 3.9691177664696414e-05, + "loss": 1.8556, + "step": 351 + }, + { + "epoch": 3.36, + "learning_rate": 3.9688445810694205e-05, + "loss": 1.395, + "step": 352 + }, + { + "epoch": 3.37, + "learning_rate": 3.9685702021646466e-05, + "loss": 1.7734, + "step": 353 + }, + { + "epoch": 3.38, + "learning_rate": 3.968294629921647e-05, + "loss": 1.79, + "step": 354 + }, + { + "epoch": 3.39, + "learning_rate": 3.9680178645074726e-05, + "loss": 1.9131, + "step": 355 + }, + { + "epoch": 3.4, + "learning_rate": 3.9677399060898977e-05, + "loss": 1.69, + "step": 356 + }, + { + "epoch": 3.41, + "learning_rate": 3.9674607548374186e-05, + "loss": 2.0688, + "step": 357 + }, + { + "epoch": 3.42, + "learning_rate": 3.967180410919256e-05, + "loss": 2.4486, + "step": 358 + }, + { + "epoch": 3.43, + "learning_rate": 3.966898874505353e-05, + "loss": 1.9025, + "step": 359 + }, + { + "epoch": 3.44, + "learning_rate": 3.966616145766376e-05, + "loss": 1.6186, + "step": 360 + }, + { + "epoch": 3.45, + "learning_rate": 3.9663322248737144e-05, + "loss": 1.7347, + "step": 361 + }, + { + "epoch": 3.46, + "learning_rate": 3.966047111999477e-05, + "loss": 1.9125, + "step": 362 + }, + { + "epoch": 3.47, + "learning_rate": 3.965760807316501e-05, + "loss": 2.104, + "step": 363 + }, + { + "epoch": 3.47, + "learning_rate": 3.965473310998342e-05, + "loss": 2.0794, + "step": 364 + }, + { + "epoch": 3.48, + "learning_rate": 3.965184623219278e-05, + "loss": 1.8146, + "step": 365 + }, + { + "epoch": 3.49, + "learning_rate": 3.964894744154312e-05, + "loss": 1.9238, + "step": 366 + }, + { + "epoch": 3.5, + "learning_rate": 3.9646036739791656e-05, + "loss": 1.4239, + "step": 367 + }, + { + "epoch": 3.51, + "learning_rate": 3.9643114128702846e-05, + "loss": 1.6719, + "step": 368 + }, + { + "epoch": 3.52, + "learning_rate": 3.964017961004837e-05, + "loss": 1.7618, + "step": 369 + }, + { + "epoch": 3.53, + "learning_rate": 3.963723318560712e-05, + "loss": 1.6016, + "step": 370 + }, + { + "epoch": 3.54, + "learning_rate": 3.96342748571652e-05, + "loss": 1.9785, + "step": 371 + }, + { + "epoch": 3.55, + "learning_rate": 3.9631304626515935e-05, + "loss": 1.6969, + "step": 372 + }, + { + "epoch": 3.56, + "learning_rate": 3.962832249545986e-05, + "loss": 2.2888, + "step": 373 + }, + { + "epoch": 3.57, + "learning_rate": 3.962532846580475e-05, + "loss": 1.8465, + "step": 374 + }, + { + "epoch": 3.58, + "learning_rate": 3.962232253936555e-05, + "loss": 1.9871, + "step": 375 + }, + { + "epoch": 3.59, + "learning_rate": 3.961930471796446e-05, + "loss": 1.7766, + "step": 376 + }, + { + "epoch": 3.6, + "learning_rate": 3.9616275003430836e-05, + "loss": 1.6498, + "step": 377 + }, + { + "epoch": 3.61, + "learning_rate": 3.961323339760131e-05, + "loss": 2.0121, + "step": 378 + }, + { + "epoch": 3.62, + "learning_rate": 3.961017990231967e-05, + "loss": 1.463, + "step": 379 + }, + { + "epoch": 3.63, + "learning_rate": 3.9607114519436945e-05, + "loss": 1.5161, + "step": 380 + }, + { + "epoch": 3.64, + "learning_rate": 3.9604037250811345e-05, + "loss": 1.7031, + "step": 381 + }, + { + "epoch": 3.65, + "learning_rate": 3.96009480983083e-05, + "loss": 2.0301, + "step": 382 + }, + { + "epoch": 3.66, + "learning_rate": 3.959784706380044e-05, + "loss": 1.6469, + "step": 383 + }, + { + "epoch": 3.67, + "learning_rate": 3.95947341491676e-05, + "loss": 1.8564, + "step": 384 + }, + { + "epoch": 3.68, + "learning_rate": 3.9591609356296806e-05, + "loss": 1.9718, + "step": 385 + }, + { + "epoch": 3.68, + "learning_rate": 3.958847268708231e-05, + "loss": 1.927, + "step": 386 + }, + { + "epoch": 3.69, + "learning_rate": 3.958532414342553e-05, + "loss": 1.2901, + "step": 387 + }, + { + "epoch": 3.7, + "learning_rate": 3.95821637272351e-05, + "loss": 1.4833, + "step": 388 + }, + { + "epoch": 3.71, + "learning_rate": 3.957899144042686e-05, + "loss": 1.4964, + "step": 389 + }, + { + "epoch": 3.72, + "learning_rate": 3.9575807284923825e-05, + "loss": 1.666, + "step": 390 + }, + { + "epoch": 3.73, + "learning_rate": 3.957261126265623e-05, + "loss": 1.715, + "step": 391 + }, + { + "epoch": 3.74, + "learning_rate": 3.9569403375561475e-05, + "loss": 1.8609, + "step": 392 + }, + { + "epoch": 3.75, + "learning_rate": 3.956618362558417e-05, + "loss": 1.755, + "step": 393 + }, + { + "epoch": 3.76, + "learning_rate": 3.9562952014676116e-05, + "loss": 1.8285, + "step": 394 + }, + { + "epoch": 3.77, + "learning_rate": 3.95597085447963e-05, + "loss": 1.7679, + "step": 395 + }, + { + "epoch": 3.78, + "learning_rate": 3.955645321791089e-05, + "loss": 1.8782, + "step": 396 + }, + { + "epoch": 3.79, + "learning_rate": 3.9553186035993263e-05, + "loss": 1.8486, + "step": 397 + }, + { + "epoch": 3.8, + "learning_rate": 3.9549907001023966e-05, + "loss": 1.7391, + "step": 398 + }, + { + "epoch": 3.81, + "learning_rate": 3.954661611499073e-05, + "loss": 2.0823, + "step": 399 + }, + { + "epoch": 3.82, + "learning_rate": 3.9543313379888477e-05, + "loss": 1.5872, + "step": 400 + }, + { + "epoch": 3.83, + "learning_rate": 3.953999879771932e-05, + "loss": 1.5674, + "step": 401 + }, + { + "epoch": 3.84, + "learning_rate": 3.9536672370492517e-05, + "loss": 2.035, + "step": 402 + }, + { + "epoch": 3.85, + "learning_rate": 3.9533334100224566e-05, + "loss": 1.5493, + "step": 403 + }, + { + "epoch": 3.86, + "learning_rate": 3.9529983988939083e-05, + "loss": 1.5652, + "step": 404 + }, + { + "epoch": 3.87, + "learning_rate": 3.9526622038666914e-05, + "loss": 1.8049, + "step": 405 + }, + { + "epoch": 3.88, + "learning_rate": 3.9523248251446046e-05, + "loss": 1.7329, + "step": 406 + }, + { + "epoch": 3.89, + "learning_rate": 3.9519862629321645e-05, + "loss": 1.7267, + "step": 407 + }, + { + "epoch": 3.89, + "learning_rate": 3.951646517434607e-05, + "loss": 1.5692, + "step": 408 + }, + { + "epoch": 3.9, + "learning_rate": 3.9513055888578846e-05, + "loss": 2.2458, + "step": 409 + }, + { + "epoch": 3.91, + "learning_rate": 3.950963477408666e-05, + "loss": 1.9181, + "step": 410 + }, + { + "epoch": 3.92, + "learning_rate": 3.9506201832943375e-05, + "loss": 2.1104, + "step": 411 + }, + { + "epoch": 3.93, + "learning_rate": 3.950275706723003e-05, + "loss": 1.8898, + "step": 412 + }, + { + "epoch": 3.94, + "learning_rate": 3.949930047903482e-05, + "loss": 1.491, + "step": 413 + }, + { + "epoch": 3.95, + "learning_rate": 3.9495832070453114e-05, + "loss": 1.6082, + "step": 414 + }, + { + "epoch": 3.96, + "learning_rate": 3.949235184358744e-05, + "loss": 2.0418, + "step": 415 + }, + { + "epoch": 3.97, + "learning_rate": 3.9488859800547523e-05, + "loss": 1.4257, + "step": 416 + }, + { + "epoch": 3.98, + "learning_rate": 3.948535594345018e-05, + "loss": 1.6657, + "step": 417 + }, + { + "epoch": 3.99, + "learning_rate": 3.948184027441947e-05, + "loss": 1.7836, + "step": 418 + }, + { + "epoch": 4.0, + "learning_rate": 3.947831279558656e-05, + "loss": 2.0988, + "step": 419 + }, + { + "epoch": 4.01, + "learning_rate": 3.947477350908979e-05, + "loss": 1.4794, + "step": 420 + }, + { + "epoch": 4.02, + "learning_rate": 3.947122241707466e-05, + "loss": 1.4261, + "step": 421 + }, + { + "epoch": 4.03, + "learning_rate": 3.9467659521693836e-05, + "loss": 1.4691, + "step": 422 + }, + { + "epoch": 4.04, + "learning_rate": 3.9464084825107117e-05, + "loss": 1.7381, + "step": 423 + }, + { + "epoch": 4.05, + "learning_rate": 3.9460498329481465e-05, + "loss": 1.7072, + "step": 424 + }, + { + "epoch": 4.06, + "learning_rate": 3.945690003699101e-05, + "loss": 1.6691, + "step": 425 + }, + { + "epoch": 4.07, + "learning_rate": 3.9453289949817014e-05, + "loss": 1.9834, + "step": 426 + }, + { + "epoch": 4.08, + "learning_rate": 3.9449668070147896e-05, + "loss": 1.6453, + "step": 427 + }, + { + "epoch": 4.09, + "learning_rate": 3.944603440017922e-05, + "loss": 1.4294, + "step": 428 + }, + { + "epoch": 4.1, + "learning_rate": 3.94423889421137e-05, + "loss": 1.6129, + "step": 429 + }, + { + "epoch": 4.11, + "learning_rate": 3.94387316981612e-05, + "loss": 1.5778, + "step": 430 + }, + { + "epoch": 4.11, + "learning_rate": 3.943506267053872e-05, + "loss": 1.9607, + "step": 431 + }, + { + "epoch": 4.12, + "learning_rate": 3.943138186147041e-05, + "loss": 1.5905, + "step": 432 + }, + { + "epoch": 4.13, + "learning_rate": 3.9427689273187565e-05, + "loss": 1.8445, + "step": 433 + }, + { + "epoch": 4.14, + "learning_rate": 3.942398490792861e-05, + "loss": 1.4429, + "step": 434 + }, + { + "epoch": 4.15, + "learning_rate": 3.942026876793911e-05, + "loss": 1.7187, + "step": 435 + }, + { + "epoch": 4.16, + "learning_rate": 3.941654085547178e-05, + "loss": 1.5983, + "step": 436 + }, + { + "epoch": 4.17, + "learning_rate": 3.9412801172786453e-05, + "loss": 1.4323, + "step": 437 + }, + { + "epoch": 4.18, + "learning_rate": 3.9409049722150125e-05, + "loss": 1.8642, + "step": 438 + }, + { + "epoch": 4.19, + "learning_rate": 3.940528650583689e-05, + "loss": 1.6148, + "step": 439 + }, + { + "epoch": 4.2, + "learning_rate": 3.9401511526128e-05, + "loss": 1.6024, + "step": 440 + }, + { + "epoch": 4.21, + "learning_rate": 3.939772478531183e-05, + "loss": 1.6544, + "step": 441 + }, + { + "epoch": 4.22, + "learning_rate": 3.9393926285683884e-05, + "loss": 1.8514, + "step": 442 + }, + { + "epoch": 4.23, + "learning_rate": 3.9390116029546804e-05, + "loss": 1.9234, + "step": 443 + }, + { + "epoch": 4.24, + "learning_rate": 3.938629401921033e-05, + "loss": 1.7171, + "step": 444 + }, + { + "epoch": 4.25, + "learning_rate": 3.938246025699137e-05, + "loss": 1.4425, + "step": 445 + }, + { + "epoch": 4.26, + "learning_rate": 3.937861474521391e-05, + "loss": 2.0304, + "step": 446 + }, + { + "epoch": 4.27, + "learning_rate": 3.9374757486209106e-05, + "loss": 2.0302, + "step": 447 + }, + { + "epoch": 4.28, + "learning_rate": 3.937088848231519e-05, + "loss": 1.8013, + "step": 448 + }, + { + "epoch": 4.29, + "learning_rate": 3.936700773587754e-05, + "loss": 1.8098, + "step": 449 + }, + { + "epoch": 4.3, + "learning_rate": 3.936311524924866e-05, + "loss": 2.215, + "step": 450 + }, + { + "epoch": 4.31, + "learning_rate": 3.935921102478814e-05, + "loss": 1.4868, + "step": 451 + }, + { + "epoch": 4.32, + "learning_rate": 3.935529506486272e-05, + "loss": 1.5864, + "step": 452 + }, + { + "epoch": 4.32, + "learning_rate": 3.935136737184621e-05, + "loss": 1.7109, + "step": 453 + }, + { + "epoch": 4.33, + "learning_rate": 3.934742794811959e-05, + "loss": 1.7265, + "step": 454 + }, + { + "epoch": 4.34, + "learning_rate": 3.93434767960709e-05, + "loss": 1.7087, + "step": 455 + }, + { + "epoch": 4.35, + "learning_rate": 3.933951391809532e-05, + "loss": 1.9094, + "step": 456 + }, + { + "epoch": 4.36, + "learning_rate": 3.933553931659512e-05, + "loss": 1.8207, + "step": 457 + }, + { + "epoch": 4.37, + "learning_rate": 3.93315529939797e-05, + "loss": 1.8693, + "step": 458 + }, + { + "epoch": 4.38, + "learning_rate": 3.932755495266554e-05, + "loss": 1.5265, + "step": 459 + }, + { + "epoch": 4.39, + "learning_rate": 3.932354519507623e-05, + "loss": 1.6438, + "step": 460 + }, + { + "epoch": 4.4, + "learning_rate": 3.931952372364248e-05, + "loss": 1.4404, + "step": 461 + }, + { + "epoch": 4.41, + "learning_rate": 3.9315490540802076e-05, + "loss": 1.7392, + "step": 462 + }, + { + "epoch": 4.42, + "learning_rate": 3.931144564899992e-05, + "loss": 1.7787, + "step": 463 + }, + { + "epoch": 4.43, + "learning_rate": 3.9307389050688e-05, + "loss": 1.6277, + "step": 464 + }, + { + "epoch": 4.44, + "learning_rate": 3.9303320748325415e-05, + "loss": 1.8087, + "step": 465 + }, + { + "epoch": 4.45, + "learning_rate": 3.9299240744378355e-05, + "loss": 1.5143, + "step": 466 + }, + { + "epoch": 4.46, + "learning_rate": 3.9295149041320087e-05, + "loss": 1.7809, + "step": 467 + }, + { + "epoch": 4.47, + "learning_rate": 3.929104564163099e-05, + "loss": 1.4689, + "step": 468 + }, + { + "epoch": 4.48, + "learning_rate": 3.928693054779853e-05, + "loss": 1.6673, + "step": 469 + }, + { + "epoch": 4.49, + "learning_rate": 3.928280376231725e-05, + "loss": 1.7562, + "step": 470 + }, + { + "epoch": 4.5, + "learning_rate": 3.9278665287688796e-05, + "loss": 1.5652, + "step": 471 + }, + { + "epoch": 4.51, + "learning_rate": 3.927451512642188e-05, + "loss": 2.0781, + "step": 472 + }, + { + "epoch": 4.52, + "learning_rate": 3.927035328103233e-05, + "loss": 1.3862, + "step": 473 + }, + { + "epoch": 4.53, + "learning_rate": 3.926617975404302e-05, + "loss": 1.9441, + "step": 474 + }, + { + "epoch": 4.53, + "learning_rate": 3.926199454798393e-05, + "loss": 2.1527, + "step": 475 + }, + { + "epoch": 4.54, + "learning_rate": 3.925779766539211e-05, + "loss": 1.8326, + "step": 476 + }, + { + "epoch": 4.55, + "learning_rate": 3.92535891088117e-05, + "loss": 1.8974, + "step": 477 + }, + { + "epoch": 4.56, + "learning_rate": 3.9249368880793895e-05, + "loss": 1.4333, + "step": 478 + }, + { + "epoch": 4.57, + "learning_rate": 3.9245136983896985e-05, + "loss": 1.5203, + "step": 479 + }, + { + "epoch": 4.58, + "learning_rate": 3.9240893420686326e-05, + "loss": 1.5529, + "step": 480 + }, + { + "epoch": 4.59, + "learning_rate": 3.9236638193734345e-05, + "loss": 1.3736, + "step": 481 + }, + { + "epoch": 4.6, + "learning_rate": 3.923237130562054e-05, + "loss": 1.3565, + "step": 482 + }, + { + "epoch": 4.61, + "learning_rate": 3.922809275893149e-05, + "loss": 2.0386, + "step": 483 + }, + { + "epoch": 4.62, + "learning_rate": 3.922380255626081e-05, + "loss": 1.7426, + "step": 484 + }, + { + "epoch": 4.63, + "learning_rate": 3.921950070020922e-05, + "loss": 1.85, + "step": 485 + }, + { + "epoch": 4.64, + "learning_rate": 3.9215187193384474e-05, + "loss": 1.5996, + "step": 486 + }, + { + "epoch": 4.65, + "learning_rate": 3.921086203840141e-05, + "loss": 2.0808, + "step": 487 + }, + { + "epoch": 4.66, + "learning_rate": 3.92065252378819e-05, + "loss": 2.1025, + "step": 488 + }, + { + "epoch": 4.67, + "learning_rate": 3.9202176794454905e-05, + "loss": 1.4663, + "step": 489 + }, + { + "epoch": 4.68, + "learning_rate": 3.9197816710756435e-05, + "loss": 1.5204, + "step": 490 + }, + { + "epoch": 4.69, + "learning_rate": 3.9193444989429543e-05, + "loss": 1.888, + "step": 491 + }, + { + "epoch": 4.7, + "learning_rate": 3.918906163312436e-05, + "loss": 1.9221, + "step": 492 + }, + { + "epoch": 4.71, + "learning_rate": 3.9184666644498043e-05, + "loss": 1.6384, + "step": 493 + }, + { + "epoch": 4.72, + "learning_rate": 3.9180260026214815e-05, + "loss": 1.86, + "step": 494 + }, + { + "epoch": 4.73, + "learning_rate": 3.917584178094596e-05, + "loss": 1.4377, + "step": 495 + }, + { + "epoch": 4.74, + "learning_rate": 3.9171411911369774e-05, + "loss": 1.5318, + "step": 496 + }, + { + "epoch": 4.74, + "learning_rate": 3.916697042017165e-05, + "loss": 1.8171, + "step": 497 + }, + { + "epoch": 4.75, + "learning_rate": 3.916251731004399e-05, + "loss": 1.3452, + "step": 498 + }, + { + "epoch": 4.76, + "learning_rate": 3.9158052583686246e-05, + "loss": 1.2326, + "step": 499 + }, + { + "epoch": 4.77, + "learning_rate": 3.9153576243804914e-05, + "loss": 1.5986, + "step": 500 + }, + { + "epoch": 4.78, + "learning_rate": 3.914908829311353e-05, + "loss": 1.6274, + "step": 501 + }, + { + "epoch": 4.79, + "learning_rate": 3.914458873433268e-05, + "loss": 1.7552, + "step": 502 + }, + { + "epoch": 4.8, + "learning_rate": 3.914007757018996e-05, + "loss": 1.4381, + "step": 503 + }, + { + "epoch": 4.81, + "learning_rate": 3.913555480342003e-05, + "loss": 2.1199, + "step": 504 + }, + { + "epoch": 4.82, + "learning_rate": 3.913102043676457e-05, + "loss": 1.556, + "step": 505 + }, + { + "epoch": 4.83, + "learning_rate": 3.9126474472972276e-05, + "loss": 2.0567, + "step": 506 + }, + { + "epoch": 4.84, + "learning_rate": 3.91219169147989e-05, + "loss": 1.7837, + "step": 507 + }, + { + "epoch": 4.85, + "learning_rate": 3.9117347765007226e-05, + "loss": 1.7057, + "step": 508 + }, + { + "epoch": 4.86, + "learning_rate": 3.911276702636704e-05, + "loss": 1.71, + "step": 509 + }, + { + "epoch": 4.87, + "learning_rate": 3.910817470165516e-05, + "loss": 1.7732, + "step": 510 + }, + { + "epoch": 4.88, + "learning_rate": 3.910357079365544e-05, + "loss": 1.8421, + "step": 511 + }, + { + "epoch": 4.89, + "learning_rate": 3.909895530515874e-05, + "loss": 1.6655, + "step": 512 + }, + { + "epoch": 4.9, + "learning_rate": 3.909432823896296e-05, + "loss": 1.9355, + "step": 513 + }, + { + "epoch": 4.91, + "learning_rate": 3.9089689597873e-05, + "loss": 1.5737, + "step": 514 + }, + { + "epoch": 4.92, + "learning_rate": 3.908503938470078e-05, + "loss": 1.4371, + "step": 515 + }, + { + "epoch": 4.93, + "learning_rate": 3.908037760226524e-05, + "loss": 1.9046, + "step": 516 + }, + { + "epoch": 4.94, + "learning_rate": 3.9075704253392326e-05, + "loss": 1.7692, + "step": 517 + }, + { + "epoch": 4.95, + "learning_rate": 3.907101934091501e-05, + "loss": 1.626, + "step": 518 + }, + { + "epoch": 4.95, + "learning_rate": 3.9066322867673266e-05, + "loss": 1.8668, + "step": 519 + }, + { + "epoch": 4.96, + "learning_rate": 3.906161483651406e-05, + "loss": 1.5294, + "step": 520 + }, + { + "epoch": 4.97, + "learning_rate": 3.90568952502914e-05, + "loss": 1.5679, + "step": 521 + }, + { + "epoch": 4.98, + "learning_rate": 3.905216411186626e-05, + "loss": 1.3218, + "step": 522 + }, + { + "epoch": 4.99, + "learning_rate": 3.904742142410664e-05, + "loss": 1.8378, + "step": 523 + }, + { + "epoch": 5.0, + "learning_rate": 3.904266718988753e-05, + "loss": 1.9363, + "step": 524 + }, + { + "epoch": 5.01, + "learning_rate": 3.903790141209094e-05, + "loss": 1.6177, + "step": 525 + }, + { + "epoch": 5.02, + "learning_rate": 3.9033124093605844e-05, + "loss": 1.2626, + "step": 526 + }, + { + "epoch": 5.03, + "learning_rate": 3.902833523732824e-05, + "loss": 1.6034, + "step": 527 + }, + { + "epoch": 5.04, + "learning_rate": 3.9023534846161116e-05, + "loss": 1.4697, + "step": 528 + }, + { + "epoch": 5.05, + "learning_rate": 3.901872292301444e-05, + "loss": 1.4627, + "step": 529 + }, + { + "epoch": 5.06, + "learning_rate": 3.901389947080518e-05, + "loss": 1.5734, + "step": 530 + }, + { + "epoch": 5.07, + "learning_rate": 3.900906449245729e-05, + "loss": 1.61, + "step": 531 + }, + { + "epoch": 5.08, + "learning_rate": 3.900421799090171e-05, + "loss": 1.5946, + "step": 532 + }, + { + "epoch": 5.09, + "learning_rate": 3.899935996907637e-05, + "loss": 1.7766, + "step": 533 + }, + { + "epoch": 5.1, + "learning_rate": 3.8994490429926175e-05, + "loss": 1.9666, + "step": 534 + }, + { + "epoch": 5.11, + "learning_rate": 3.8989609376403025e-05, + "loss": 1.5169, + "step": 535 + }, + { + "epoch": 5.12, + "learning_rate": 3.8984716811465787e-05, + "loss": 1.6742, + "step": 536 + }, + { + "epoch": 5.13, + "learning_rate": 3.8979812738080314e-05, + "loss": 1.4184, + "step": 537 + }, + { + "epoch": 5.14, + "learning_rate": 3.897489715921943e-05, + "loss": 1.805, + "step": 538 + }, + { + "epoch": 5.15, + "learning_rate": 3.8969970077862934e-05, + "loss": 1.3572, + "step": 539 + }, + { + "epoch": 5.16, + "learning_rate": 3.8965031496997614e-05, + "loss": 1.5531, + "step": 540 + }, + { + "epoch": 5.16, + "learning_rate": 3.89600814196172e-05, + "loss": 1.4074, + "step": 541 + }, + { + "epoch": 5.17, + "learning_rate": 3.895511984872241e-05, + "loss": 1.1467, + "step": 542 + }, + { + "epoch": 5.18, + "learning_rate": 3.895014678732094e-05, + "loss": 1.7523, + "step": 543 + }, + { + "epoch": 5.19, + "learning_rate": 3.8945162238427405e-05, + "loss": 1.9978, + "step": 544 + }, + { + "epoch": 5.2, + "learning_rate": 3.894016620506345e-05, + "loss": 1.6688, + "step": 545 + }, + { + "epoch": 5.21, + "learning_rate": 3.893515869025763e-05, + "loss": 1.4248, + "step": 546 + }, + { + "epoch": 5.22, + "learning_rate": 3.893013969704547e-05, + "loss": 2.0494, + "step": 547 + }, + { + "epoch": 5.23, + "learning_rate": 3.8925109228469474e-05, + "loss": 2.2122, + "step": 548 + }, + { + "epoch": 5.24, + "learning_rate": 3.892006728757909e-05, + "loss": 1.7371, + "step": 549 + }, + { + "epoch": 5.25, + "learning_rate": 3.8915013877430715e-05, + "loss": 1.9236, + "step": 550 + }, + { + "epoch": 5.26, + "learning_rate": 3.89099490010877e-05, + "loss": 2.2029, + "step": 551 + }, + { + "epoch": 5.27, + "learning_rate": 3.890487266162035e-05, + "loss": 1.6349, + "step": 552 + }, + { + "epoch": 5.28, + "learning_rate": 3.8899784862105925e-05, + "loss": 1.6803, + "step": 553 + }, + { + "epoch": 5.29, + "learning_rate": 3.889468560562862e-05, + "loss": 1.5485, + "step": 554 + }, + { + "epoch": 5.3, + "learning_rate": 3.888957489527959e-05, + "loss": 1.565, + "step": 555 + }, + { + "epoch": 5.31, + "learning_rate": 3.88844527341569e-05, + "loss": 1.6284, + "step": 556 + }, + { + "epoch": 5.32, + "learning_rate": 3.887931912536561e-05, + "loss": 1.5534, + "step": 557 + }, + { + "epoch": 5.33, + "learning_rate": 3.8874174072017686e-05, + "loss": 1.8338, + "step": 558 + }, + { + "epoch": 5.34, + "learning_rate": 3.886901757723202e-05, + "loss": 1.3822, + "step": 559 + }, + { + "epoch": 5.35, + "learning_rate": 3.886384964413446e-05, + "loss": 1.7229, + "step": 560 + }, + { + "epoch": 5.36, + "learning_rate": 3.8858670275857786e-05, + "loss": 1.5323, + "step": 561 + }, + { + "epoch": 5.37, + "learning_rate": 3.885347947554171e-05, + "loss": 1.8106, + "step": 562 + }, + { + "epoch": 5.37, + "learning_rate": 3.8848277246332864e-05, + "loss": 2.1027, + "step": 563 + }, + { + "epoch": 5.38, + "learning_rate": 3.884306359138483e-05, + "loss": 1.8797, + "step": 564 + }, + { + "epoch": 5.39, + "learning_rate": 3.883783851385809e-05, + "loss": 1.5573, + "step": 565 + }, + { + "epoch": 5.4, + "learning_rate": 3.8832602016920056e-05, + "loss": 1.823, + "step": 566 + }, + { + "epoch": 5.41, + "learning_rate": 3.8827354103745084e-05, + "loss": 1.8139, + "step": 567 + }, + { + "epoch": 5.42, + "learning_rate": 3.8822094777514425e-05, + "loss": 1.6306, + "step": 568 + }, + { + "epoch": 5.43, + "learning_rate": 3.881682404141626e-05, + "loss": 1.7705, + "step": 569 + }, + { + "epoch": 5.44, + "learning_rate": 3.881154189864569e-05, + "loss": 1.6586, + "step": 570 + }, + { + "epoch": 5.45, + "learning_rate": 3.8806248352404716e-05, + "loss": 1.8307, + "step": 571 + }, + { + "epoch": 5.46, + "learning_rate": 3.8800943405902275e-05, + "loss": 1.9422, + "step": 572 + }, + { + "epoch": 5.47, + "learning_rate": 3.879562706235419e-05, + "loss": 1.7019, + "step": 573 + }, + { + "epoch": 5.48, + "learning_rate": 3.879029932498321e-05, + "loss": 1.6966, + "step": 574 + }, + { + "epoch": 5.49, + "learning_rate": 3.8784960197018975e-05, + "loss": 1.6619, + "step": 575 + }, + { + "epoch": 5.5, + "learning_rate": 3.877960968169805e-05, + "loss": 1.6068, + "step": 576 + }, + { + "epoch": 5.51, + "learning_rate": 3.8774247782263896e-05, + "loss": 1.5676, + "step": 577 + }, + { + "epoch": 5.52, + "learning_rate": 3.876887450196686e-05, + "loss": 1.5407, + "step": 578 + }, + { + "epoch": 5.53, + "learning_rate": 3.876348984406421e-05, + "loss": 1.5548, + "step": 579 + }, + { + "epoch": 5.54, + "learning_rate": 3.875809381182009e-05, + "loss": 1.5103, + "step": 580 + }, + { + "epoch": 5.55, + "learning_rate": 3.875268640850556e-05, + "loss": 1.4305, + "step": 581 + }, + { + "epoch": 5.56, + "learning_rate": 3.8747267637398565e-05, + "loss": 1.6372, + "step": 582 + }, + { + "epoch": 5.57, + "learning_rate": 3.874183750178393e-05, + "loss": 1.7128, + "step": 583 + }, + { + "epoch": 5.58, + "learning_rate": 3.873639600495338e-05, + "loss": 1.7868, + "step": 584 + }, + { + "epoch": 5.58, + "learning_rate": 3.873094315020553e-05, + "loss": 2.2861, + "step": 585 + }, + { + "epoch": 5.59, + "learning_rate": 3.872547894084587e-05, + "loss": 1.6198, + "step": 586 + }, + { + "epoch": 5.6, + "learning_rate": 3.8720003380186785e-05, + "loss": 1.6445, + "step": 587 + }, + { + "epoch": 5.61, + "learning_rate": 3.871451647154754e-05, + "loss": 1.7591, + "step": 588 + }, + { + "epoch": 5.62, + "learning_rate": 3.870901821825425e-05, + "loss": 1.939, + "step": 589 + }, + { + "epoch": 5.63, + "learning_rate": 3.8703508623639956e-05, + "loss": 1.4723, + "step": 590 + }, + { + "epoch": 5.64, + "learning_rate": 3.869798769104454e-05, + "loss": 1.5069, + "step": 591 + }, + { + "epoch": 5.65, + "learning_rate": 3.869245542381476e-05, + "loss": 1.6768, + "step": 592 + }, + { + "epoch": 5.66, + "learning_rate": 3.8686911825304256e-05, + "loss": 1.3958, + "step": 593 + }, + { + "epoch": 5.67, + "learning_rate": 3.868135689887354e-05, + "loss": 1.6126, + "step": 594 + }, + { + "epoch": 5.68, + "learning_rate": 3.867579064788997e-05, + "loss": 1.3658, + "step": 595 + }, + { + "epoch": 5.69, + "learning_rate": 3.8670213075727785e-05, + "loss": 1.7524, + "step": 596 + }, + { + "epoch": 5.7, + "learning_rate": 3.866462418576808e-05, + "loss": 1.4704, + "step": 597 + }, + { + "epoch": 5.71, + "learning_rate": 3.865902398139884e-05, + "loss": 1.7655, + "step": 598 + }, + { + "epoch": 5.72, + "learning_rate": 3.865341246601485e-05, + "loss": 1.8814, + "step": 599 + }, + { + "epoch": 5.73, + "learning_rate": 3.86477896430178e-05, + "loss": 1.9063, + "step": 600 + }, + { + "epoch": 5.74, + "learning_rate": 3.8642155515816215e-05, + "loss": 1.3224, + "step": 601 + }, + { + "epoch": 5.75, + "learning_rate": 3.863651008782549e-05, + "loss": 1.4207, + "step": 602 + }, + { + "epoch": 5.76, + "learning_rate": 3.8630853362467836e-05, + "loss": 1.9325, + "step": 603 + }, + { + "epoch": 5.77, + "learning_rate": 3.8625185343172346e-05, + "loss": 1.5466, + "step": 604 + }, + { + "epoch": 5.78, + "learning_rate": 3.8619506033374956e-05, + "loss": 1.8435, + "step": 605 + }, + { + "epoch": 5.79, + "learning_rate": 3.861381543651843e-05, + "loss": 1.722, + "step": 606 + }, + { + "epoch": 5.79, + "learning_rate": 3.8608113556052365e-05, + "loss": 1.859, + "step": 607 + }, + { + "epoch": 5.8, + "learning_rate": 3.860240039543324e-05, + "loss": 1.6801, + "step": 608 + }, + { + "epoch": 5.81, + "learning_rate": 3.8596675958124335e-05, + "loss": 2.0657, + "step": 609 + }, + { + "epoch": 5.82, + "learning_rate": 3.8590940247595773e-05, + "loss": 1.2541, + "step": 610 + }, + { + "epoch": 5.83, + "learning_rate": 3.858519326732453e-05, + "loss": 1.8487, + "step": 611 + }, + { + "epoch": 5.84, + "learning_rate": 3.8579435020794396e-05, + "loss": 1.395, + "step": 612 + }, + { + "epoch": 5.85, + "learning_rate": 3.8573665511495974e-05, + "loss": 2.0131, + "step": 613 + }, + { + "epoch": 5.86, + "learning_rate": 3.856788474292674e-05, + "loss": 1.7632, + "step": 614 + }, + { + "epoch": 5.87, + "learning_rate": 3.8562092718590944e-05, + "loss": 1.7766, + "step": 615 + }, + { + "epoch": 5.88, + "learning_rate": 3.8556289441999714e-05, + "loss": 1.3067, + "step": 616 + }, + { + "epoch": 5.89, + "learning_rate": 3.855047491667094e-05, + "loss": 1.6348, + "step": 617 + }, + { + "epoch": 5.9, + "learning_rate": 3.854464914612938e-05, + "loss": 1.5188, + "step": 618 + }, + { + "epoch": 5.91, + "learning_rate": 3.853881213390659e-05, + "loss": 1.8637, + "step": 619 + }, + { + "epoch": 5.92, + "learning_rate": 3.8532963883540925e-05, + "loss": 1.5087, + "step": 620 + }, + { + "epoch": 5.93, + "learning_rate": 3.8527104398577584e-05, + "loss": 1.9367, + "step": 621 + }, + { + "epoch": 5.94, + "learning_rate": 3.852123368256854e-05, + "loss": 1.7766, + "step": 622 + }, + { + "epoch": 5.95, + "learning_rate": 3.851535173907262e-05, + "loss": 1.458, + "step": 623 + }, + { + "epoch": 5.96, + "learning_rate": 3.8509458571655414e-05, + "loss": 1.7696, + "step": 624 + }, + { + "epoch": 5.97, + "learning_rate": 3.850355418388933e-05, + "loss": 1.7072, + "step": 625 + }, + { + "epoch": 5.98, + "learning_rate": 3.8497638579353595e-05, + "loss": 1.2364, + "step": 626 + }, + { + "epoch": 5.99, + "learning_rate": 3.849171176163421e-05, + "loss": 1.888, + "step": 627 + }, + { + "epoch": 6.0, + "learning_rate": 3.8485773734323995e-05, + "loss": 1.5696, + "step": 628 + }, + { + "epoch": 6.0, + "learning_rate": 3.8479824501022546e-05, + "loss": 1.6914, + "step": 629 + }, + { + "epoch": 6.01, + "learning_rate": 3.847386406533626e-05, + "loss": 1.8924, + "step": 630 + }, + { + "epoch": 6.02, + "learning_rate": 3.8467892430878325e-05, + "loss": 1.653, + "step": 631 + }, + { + "epoch": 6.03, + "learning_rate": 3.846190960126873e-05, + "loss": 1.4109, + "step": 632 + }, + { + "epoch": 6.04, + "learning_rate": 3.8455915580134234e-05, + "loss": 1.5014, + "step": 633 + }, + { + "epoch": 6.05, + "learning_rate": 3.844991037110837e-05, + "loss": 1.4131, + "step": 634 + }, + { + "epoch": 6.06, + "learning_rate": 3.844389397783149e-05, + "loss": 1.9975, + "step": 635 + }, + { + "epoch": 6.07, + "learning_rate": 3.84378664039507e-05, + "loss": 1.9176, + "step": 636 + }, + { + "epoch": 6.08, + "learning_rate": 3.843182765311987e-05, + "loss": 1.5607, + "step": 637 + }, + { + "epoch": 6.09, + "learning_rate": 3.8425777728999676e-05, + "loss": 1.6071, + "step": 638 + }, + { + "epoch": 6.1, + "learning_rate": 3.841971663525756e-05, + "loss": 1.8193, + "step": 639 + }, + { + "epoch": 6.11, + "learning_rate": 3.841364437556772e-05, + "loss": 1.4338, + "step": 640 + }, + { + "epoch": 6.12, + "learning_rate": 3.840756095361114e-05, + "loss": 2.1033, + "step": 641 + }, + { + "epoch": 6.13, + "learning_rate": 3.8401466373075555e-05, + "loss": 1.6929, + "step": 642 + }, + { + "epoch": 6.14, + "learning_rate": 3.839536063765547e-05, + "loss": 1.8756, + "step": 643 + }, + { + "epoch": 6.15, + "learning_rate": 3.8389243751052153e-05, + "loss": 1.8183, + "step": 644 + }, + { + "epoch": 6.16, + "learning_rate": 3.838311571697365e-05, + "loss": 1.8925, + "step": 645 + }, + { + "epoch": 6.17, + "learning_rate": 3.8376976539134726e-05, + "loss": 1.5247, + "step": 646 + }, + { + "epoch": 6.18, + "learning_rate": 3.837082622125694e-05, + "loss": 1.8047, + "step": 647 + }, + { + "epoch": 6.19, + "learning_rate": 3.836466476706857e-05, + "loss": 1.8782, + "step": 648 + }, + { + "epoch": 6.2, + "learning_rate": 3.8358492180304665e-05, + "loss": 1.8733, + "step": 649 + }, + { + "epoch": 6.21, + "learning_rate": 3.8352308464707026e-05, + "loss": 1.6831, + "step": 650 + }, + { + "epoch": 6.21, + "learning_rate": 3.834611362402419e-05, + "loss": 1.5292, + "step": 651 + }, + { + "epoch": 6.22, + "learning_rate": 3.833990766201145e-05, + "loss": 1.5917, + "step": 652 + }, + { + "epoch": 6.23, + "learning_rate": 3.833369058243081e-05, + "loss": 1.7071, + "step": 653 + }, + { + "epoch": 6.24, + "learning_rate": 3.832746238905105e-05, + "loss": 2.1786, + "step": 654 + }, + { + "epoch": 6.25, + "learning_rate": 3.832122308564768e-05, + "loss": 1.4945, + "step": 655 + }, + { + "epoch": 6.26, + "learning_rate": 3.831497267600291e-05, + "loss": 1.4296, + "step": 656 + }, + { + "epoch": 6.27, + "learning_rate": 3.830871116390574e-05, + "loss": 1.7038, + "step": 657 + }, + { + "epoch": 6.28, + "learning_rate": 3.830243855315185e-05, + "loss": 1.5754, + "step": 658 + }, + { + "epoch": 6.29, + "learning_rate": 3.829615484754367e-05, + "loss": 1.6699, + "step": 659 + }, + { + "epoch": 6.3, + "learning_rate": 3.828986005089037e-05, + "loss": 1.5966, + "step": 660 + }, + { + "epoch": 6.31, + "learning_rate": 3.82835541670078e-05, + "loss": 1.2383, + "step": 661 + }, + { + "epoch": 6.32, + "learning_rate": 3.827723719971858e-05, + "loss": 1.7292, + "step": 662 + }, + { + "epoch": 6.33, + "learning_rate": 3.827090915285202e-05, + "loss": 1.6143, + "step": 663 + }, + { + "epoch": 6.34, + "learning_rate": 3.8264570030244156e-05, + "loss": 1.9319, + "step": 664 + }, + { + "epoch": 6.35, + "learning_rate": 3.825821983573773e-05, + "loss": 1.3055, + "step": 665 + }, + { + "epoch": 6.36, + "learning_rate": 3.8251858573182185e-05, + "loss": 1.2461, + "step": 666 + }, + { + "epoch": 6.37, + "learning_rate": 3.824548624643372e-05, + "loss": 1.6493, + "step": 667 + }, + { + "epoch": 6.38, + "learning_rate": 3.82391028593552e-05, + "loss": 1.8985, + "step": 668 + }, + { + "epoch": 6.39, + "learning_rate": 3.823270841581619e-05, + "loss": 1.547, + "step": 669 + }, + { + "epoch": 6.4, + "learning_rate": 3.822630291969299e-05, + "loss": 1.5634, + "step": 670 + }, + { + "epoch": 6.41, + "learning_rate": 3.821988637486858e-05, + "loss": 1.3818, + "step": 671 + }, + { + "epoch": 6.42, + "learning_rate": 3.821345878523263e-05, + "loss": 2.4124, + "step": 672 + }, + { + "epoch": 6.42, + "learning_rate": 3.820702015468152e-05, + "loss": 1.8191, + "step": 673 + }, + { + "epoch": 6.43, + "learning_rate": 3.820057048711833e-05, + "loss": 1.2857, + "step": 674 + }, + { + "epoch": 6.44, + "learning_rate": 3.819410978645279e-05, + "loss": 1.718, + "step": 675 + }, + { + "epoch": 6.45, + "learning_rate": 3.8187638056601375e-05, + "loss": 1.4544, + "step": 676 + }, + { + "epoch": 6.46, + "learning_rate": 3.818115530148721e-05, + "loss": 1.5801, + "step": 677 + }, + { + "epoch": 6.47, + "learning_rate": 3.8174661525040114e-05, + "loss": 1.2528, + "step": 678 + }, + { + "epoch": 6.48, + "learning_rate": 3.8168156731196575e-05, + "loss": 1.6208, + "step": 679 + }, + { + "epoch": 6.49, + "learning_rate": 3.816164092389977e-05, + "loss": 1.7234, + "step": 680 + }, + { + "epoch": 6.5, + "learning_rate": 3.8155114107099566e-05, + "loss": 1.7017, + "step": 681 + }, + { + "epoch": 6.51, + "learning_rate": 3.8148576284752484e-05, + "loss": 1.4918, + "step": 682 + }, + { + "epoch": 6.52, + "learning_rate": 3.8142027460821704e-05, + "loss": 1.7461, + "step": 683 + }, + { + "epoch": 6.53, + "learning_rate": 3.8135467639277115e-05, + "loss": 1.6785, + "step": 684 + }, + { + "epoch": 6.54, + "learning_rate": 3.812889682409523e-05, + "loss": 1.9881, + "step": 685 + }, + { + "epoch": 6.55, + "learning_rate": 3.812231501925927e-05, + "loss": 1.776, + "step": 686 + }, + { + "epoch": 6.56, + "learning_rate": 3.811572222875908e-05, + "loss": 1.7496, + "step": 687 + }, + { + "epoch": 6.57, + "learning_rate": 3.810911845659119e-05, + "loss": 1.5252, + "step": 688 + }, + { + "epoch": 6.58, + "learning_rate": 3.810250370675876e-05, + "loss": 1.5484, + "step": 689 + }, + { + "epoch": 6.59, + "learning_rate": 3.809587798327164e-05, + "loss": 1.5229, + "step": 690 + }, + { + "epoch": 6.6, + "learning_rate": 3.80892412901463e-05, + "loss": 1.7404, + "step": 691 + }, + { + "epoch": 6.61, + "learning_rate": 3.808259363140588e-05, + "loss": 1.5856, + "step": 692 + }, + { + "epoch": 6.62, + "learning_rate": 3.807593501108015e-05, + "loss": 1.4449, + "step": 693 + }, + { + "epoch": 6.63, + "learning_rate": 3.806926543320554e-05, + "loss": 1.767, + "step": 694 + }, + { + "epoch": 6.63, + "learning_rate": 3.806258490182513e-05, + "loss": 1.475, + "step": 695 + }, + { + "epoch": 6.64, + "learning_rate": 3.805589342098861e-05, + "loss": 1.6443, + "step": 696 + }, + { + "epoch": 6.65, + "learning_rate": 3.8049190994752336e-05, + "loss": 1.4845, + "step": 697 + }, + { + "epoch": 6.66, + "learning_rate": 3.804247762717928e-05, + "loss": 1.6948, + "step": 698 + }, + { + "epoch": 6.67, + "learning_rate": 3.803575332233907e-05, + "loss": 1.5791, + "step": 699 + }, + { + "epoch": 6.68, + "learning_rate": 3.802901808430793e-05, + "loss": 1.6441, + "step": 700 + }, + { + "epoch": 6.69, + "learning_rate": 3.8022271917168736e-05, + "loss": 1.8164, + "step": 701 + }, + { + "epoch": 6.7, + "learning_rate": 3.8015514825010986e-05, + "loss": 1.5506, + "step": 702 + }, + { + "epoch": 6.71, + "learning_rate": 3.8008746811930804e-05, + "loss": 1.6028, + "step": 703 + }, + { + "epoch": 6.72, + "learning_rate": 3.8001967882030915e-05, + "loss": 1.5394, + "step": 704 + }, + { + "epoch": 6.73, + "learning_rate": 3.799517803942069e-05, + "loss": 1.5594, + "step": 705 + }, + { + "epoch": 6.74, + "learning_rate": 3.798837728821609e-05, + "loss": 1.7875, + "step": 706 + }, + { + "epoch": 6.75, + "learning_rate": 3.7981565632539695e-05, + "loss": 1.6468, + "step": 707 + }, + { + "epoch": 6.76, + "learning_rate": 3.797474307652071e-05, + "loss": 1.3993, + "step": 708 + }, + { + "epoch": 6.77, + "learning_rate": 3.796790962429494e-05, + "loss": 1.7498, + "step": 709 + }, + { + "epoch": 6.78, + "learning_rate": 3.796106528000478e-05, + "loss": 1.4711, + "step": 710 + }, + { + "epoch": 6.79, + "learning_rate": 3.7954210047799246e-05, + "loss": 1.8872, + "step": 711 + }, + { + "epoch": 6.8, + "learning_rate": 3.7947343931833955e-05, + "loss": 1.7481, + "step": 712 + }, + { + "epoch": 6.81, + "learning_rate": 3.794046693627111e-05, + "loss": 1.7472, + "step": 713 + }, + { + "epoch": 6.82, + "learning_rate": 3.79335790652795e-05, + "loss": 1.3035, + "step": 714 + }, + { + "epoch": 6.83, + "learning_rate": 3.792668032303454e-05, + "loss": 1.5147, + "step": 715 + }, + { + "epoch": 6.84, + "learning_rate": 3.791977071371821e-05, + "loss": 1.9153, + "step": 716 + }, + { + "epoch": 6.84, + "learning_rate": 3.791285024151909e-05, + "loss": 1.7184, + "step": 717 + }, + { + "epoch": 6.85, + "learning_rate": 3.7905918910632316e-05, + "loss": 1.505, + "step": 718 + }, + { + "epoch": 6.86, + "learning_rate": 3.789897672525966e-05, + "loss": 2.0087, + "step": 719 + }, + { + "epoch": 6.87, + "learning_rate": 3.789202368960941e-05, + "loss": 1.6121, + "step": 720 + }, + { + "epoch": 6.88, + "learning_rate": 3.78850598078965e-05, + "loss": 1.3935, + "step": 721 + }, + { + "epoch": 6.89, + "learning_rate": 3.7878085084342375e-05, + "loss": 1.6887, + "step": 722 + }, + { + "epoch": 6.9, + "learning_rate": 3.787109952317509e-05, + "loss": 1.8852, + "step": 723 + }, + { + "epoch": 6.91, + "learning_rate": 3.786410312862926e-05, + "loss": 1.9691, + "step": 724 + }, + { + "epoch": 6.92, + "learning_rate": 3.7857095904946074e-05, + "loss": 1.6956, + "step": 725 + }, + { + "epoch": 6.93, + "learning_rate": 3.785007785637327e-05, + "loss": 1.7076, + "step": 726 + }, + { + "epoch": 6.94, + "learning_rate": 3.784304898716515e-05, + "loss": 1.7504, + "step": 727 + }, + { + "epoch": 6.95, + "learning_rate": 3.7836009301582604e-05, + "loss": 1.3859, + "step": 728 + }, + { + "epoch": 6.96, + "learning_rate": 3.7828958803893036e-05, + "loss": 1.9151, + "step": 729 + }, + { + "epoch": 6.97, + "learning_rate": 3.782189749837044e-05, + "loss": 1.5658, + "step": 730 + }, + { + "epoch": 6.98, + "learning_rate": 3.781482538929534e-05, + "loss": 1.5025, + "step": 731 + }, + { + "epoch": 6.99, + "learning_rate": 3.780774248095482e-05, + "loss": 1.4346, + "step": 732 + }, + { + "epoch": 7.0, + "learning_rate": 3.7800648777642494e-05, + "loss": 1.8121, + "step": 733 + }, + { + "epoch": 7.01, + "learning_rate": 3.779354428365855e-05, + "loss": 1.5906, + "step": 734 + }, + { + "epoch": 7.02, + "learning_rate": 3.778642900330969e-05, + "loss": 1.8746, + "step": 735 + }, + { + "epoch": 7.03, + "learning_rate": 3.777930294090916e-05, + "loss": 1.8771, + "step": 736 + }, + { + "epoch": 7.04, + "learning_rate": 3.777216610077676e-05, + "loss": 1.9504, + "step": 737 + }, + { + "epoch": 7.05, + "learning_rate": 3.77650184872388e-05, + "loss": 1.17, + "step": 738 + }, + { + "epoch": 7.05, + "learning_rate": 3.775786010462813e-05, + "loss": 1.3596, + "step": 739 + }, + { + "epoch": 7.06, + "learning_rate": 3.7750690957284135e-05, + "loss": 2.0342, + "step": 740 + }, + { + "epoch": 7.07, + "learning_rate": 3.7743511049552714e-05, + "loss": 1.5043, + "step": 741 + }, + { + "epoch": 7.08, + "learning_rate": 3.7736320385786293e-05, + "loss": 1.574, + "step": 742 + }, + { + "epoch": 7.09, + "learning_rate": 3.772911897034383e-05, + "loss": 1.4594, + "step": 743 + }, + { + "epoch": 7.1, + "learning_rate": 3.772190680759078e-05, + "loss": 1.4431, + "step": 744 + }, + { + "epoch": 7.11, + "learning_rate": 3.771468390189912e-05, + "loss": 1.6044, + "step": 745 + }, + { + "epoch": 7.12, + "learning_rate": 3.770745025764735e-05, + "loss": 1.8424, + "step": 746 + }, + { + "epoch": 7.13, + "learning_rate": 3.770020587922047e-05, + "loss": 1.5363, + "step": 747 + }, + { + "epoch": 7.14, + "learning_rate": 3.769295077100998e-05, + "loss": 1.2161, + "step": 748 + }, + { + "epoch": 7.15, + "learning_rate": 3.768568493741391e-05, + "loss": 1.4678, + "step": 749 + }, + { + "epoch": 7.16, + "learning_rate": 3.767840838283677e-05, + "loss": 1.3263, + "step": 750 + }, + { + "epoch": 7.17, + "learning_rate": 3.7671121111689565e-05, + "loss": 1.8726, + "step": 751 + }, + { + "epoch": 7.18, + "learning_rate": 3.766382312838981e-05, + "loss": 1.6261, + "step": 752 + }, + { + "epoch": 7.19, + "learning_rate": 3.765651443736151e-05, + "loss": 1.6494, + "step": 753 + }, + { + "epoch": 7.2, + "learning_rate": 3.764919504303517e-05, + "loss": 1.4791, + "step": 754 + }, + { + "epoch": 7.21, + "learning_rate": 3.764186494984775e-05, + "loss": 1.8866, + "step": 755 + }, + { + "epoch": 7.22, + "learning_rate": 3.7634524162242736e-05, + "loss": 1.7851, + "step": 756 + }, + { + "epoch": 7.23, + "learning_rate": 3.762717268467008e-05, + "loss": 1.4038, + "step": 757 + }, + { + "epoch": 7.24, + "learning_rate": 3.76198105215862e-05, + "loss": 1.5676, + "step": 758 + }, + { + "epoch": 7.25, + "learning_rate": 3.7612437677454024e-05, + "loss": 1.5421, + "step": 759 + }, + { + "epoch": 7.26, + "learning_rate": 3.760505415674293e-05, + "loss": 1.9788, + "step": 760 + }, + { + "epoch": 7.26, + "learning_rate": 3.759765996392877e-05, + "loss": 1.7209, + "step": 761 + }, + { + "epoch": 7.27, + "learning_rate": 3.759025510349386e-05, + "loss": 1.3569, + "step": 762 + }, + { + "epoch": 7.28, + "learning_rate": 3.758283957992702e-05, + "loss": 1.5329, + "step": 763 + }, + { + "epoch": 7.29, + "learning_rate": 3.757541339772348e-05, + "loss": 1.7699, + "step": 764 + }, + { + "epoch": 7.3, + "learning_rate": 3.7567976561384975e-05, + "loss": 1.2581, + "step": 765 + }, + { + "epoch": 7.31, + "learning_rate": 3.7560529075419664e-05, + "loss": 1.3052, + "step": 766 + }, + { + "epoch": 7.32, + "learning_rate": 3.75530709443422e-05, + "loss": 1.6112, + "step": 767 + }, + { + "epoch": 7.33, + "learning_rate": 3.754560217267365e-05, + "loss": 1.5907, + "step": 768 + }, + { + "epoch": 7.34, + "learning_rate": 3.7538122764941556e-05, + "loss": 1.7246, + "step": 769 + }, + { + "epoch": 7.35, + "learning_rate": 3.753063272567991e-05, + "loss": 1.9409, + "step": 770 + }, + { + "epoch": 7.36, + "learning_rate": 3.752313205942912e-05, + "loss": 2.1799, + "step": 771 + }, + { + "epoch": 7.37, + "learning_rate": 3.751562077073607e-05, + "loss": 1.3285, + "step": 772 + }, + { + "epoch": 7.38, + "learning_rate": 3.750809886415406e-05, + "loss": 1.4149, + "step": 773 + }, + { + "epoch": 7.39, + "learning_rate": 3.750056634424284e-05, + "loss": 1.5053, + "step": 774 + }, + { + "epoch": 7.4, + "learning_rate": 3.7493023215568595e-05, + "loss": 1.4196, + "step": 775 + }, + { + "epoch": 7.41, + "learning_rate": 3.7485469482703925e-05, + "loss": 2.0687, + "step": 776 + }, + { + "epoch": 7.42, + "learning_rate": 3.747790515022787e-05, + "loss": 1.4623, + "step": 777 + }, + { + "epoch": 7.43, + "learning_rate": 3.747033022272589e-05, + "loss": 2.0351, + "step": 778 + }, + { + "epoch": 7.44, + "learning_rate": 3.746274470478989e-05, + "loss": 1.7049, + "step": 779 + }, + { + "epoch": 7.45, + "learning_rate": 3.7455148601018155e-05, + "loss": 1.7216, + "step": 780 + }, + { + "epoch": 7.46, + "learning_rate": 3.7447541916015414e-05, + "loss": 1.5145, + "step": 781 + }, + { + "epoch": 7.47, + "learning_rate": 3.743992465439281e-05, + "loss": 1.7854, + "step": 782 + }, + { + "epoch": 7.47, + "learning_rate": 3.7432296820767885e-05, + "loss": 1.4157, + "step": 783 + }, + { + "epoch": 7.48, + "learning_rate": 3.7424658419764605e-05, + "loss": 1.7853, + "step": 784 + }, + { + "epoch": 7.49, + "learning_rate": 3.7417009456013335e-05, + "loss": 1.4789, + "step": 785 + }, + { + "epoch": 7.5, + "learning_rate": 3.740934993415082e-05, + "loss": 1.5461, + "step": 786 + }, + { + "epoch": 7.51, + "learning_rate": 3.740167985882026e-05, + "loss": 1.5137, + "step": 787 + }, + { + "epoch": 7.52, + "learning_rate": 3.739399923467119e-05, + "loss": 1.3291, + "step": 788 + }, + { + "epoch": 7.53, + "learning_rate": 3.738630806635958e-05, + "loss": 1.5714, + "step": 789 + }, + { + "epoch": 7.54, + "learning_rate": 3.737860635854779e-05, + "loss": 1.7214, + "step": 790 + }, + { + "epoch": 7.55, + "learning_rate": 3.7370894115904555e-05, + "loss": 1.5552, + "step": 791 + }, + { + "epoch": 7.56, + "learning_rate": 3.736317134310499e-05, + "loss": 1.6455, + "step": 792 + }, + { + "epoch": 7.57, + "learning_rate": 3.735543804483062e-05, + "loss": 1.9545, + "step": 793 + }, + { + "epoch": 7.58, + "learning_rate": 3.734769422576932e-05, + "loss": 1.7113, + "step": 794 + }, + { + "epoch": 7.59, + "learning_rate": 3.7339939890615365e-05, + "loss": 1.8085, + "step": 795 + }, + { + "epoch": 7.6, + "learning_rate": 3.733217504406941e-05, + "loss": 1.4948, + "step": 796 + }, + { + "epoch": 7.61, + "learning_rate": 3.732439969083845e-05, + "loss": 1.5271, + "step": 797 + }, + { + "epoch": 7.62, + "learning_rate": 3.731661383563587e-05, + "loss": 1.5271, + "step": 798 + }, + { + "epoch": 7.63, + "learning_rate": 3.730881748318143e-05, + "loss": 1.6194, + "step": 799 + }, + { + "epoch": 7.64, + "learning_rate": 3.730101063820124e-05, + "loss": 1.4745, + "step": 800 + }, + { + "epoch": 7.65, + "learning_rate": 3.729319330542777e-05, + "loss": 1.2829, + "step": 801 + }, + { + "epoch": 7.66, + "learning_rate": 3.7285365489599854e-05, + "loss": 1.7011, + "step": 802 + }, + { + "epoch": 7.67, + "learning_rate": 3.727752719546268e-05, + "loss": 1.5408, + "step": 803 + }, + { + "epoch": 7.68, + "learning_rate": 3.726967842776778e-05, + "loss": 1.7024, + "step": 804 + }, + { + "epoch": 7.68, + "learning_rate": 3.7261819191273045e-05, + "loss": 1.7152, + "step": 805 + }, + { + "epoch": 7.69, + "learning_rate": 3.725394949074271e-05, + "loss": 1.7611, + "step": 806 + }, + { + "epoch": 7.7, + "learning_rate": 3.7246069330947344e-05, + "loss": 1.5066, + "step": 807 + }, + { + "epoch": 7.71, + "learning_rate": 3.723817871666387e-05, + "loss": 1.55, + "step": 808 + }, + { + "epoch": 7.72, + "learning_rate": 3.7230277652675544e-05, + "loss": 1.4892, + "step": 809 + }, + { + "epoch": 7.73, + "learning_rate": 3.722236614377194e-05, + "loss": 1.6139, + "step": 810 + }, + { + "epoch": 7.74, + "learning_rate": 3.7214444194749e-05, + "loss": 1.6332, + "step": 811 + }, + { + "epoch": 7.75, + "learning_rate": 3.7206511810408964e-05, + "loss": 1.7434, + "step": 812 + }, + { + "epoch": 7.76, + "learning_rate": 3.7198568995560404e-05, + "loss": 1.7386, + "step": 813 + }, + { + "epoch": 7.77, + "learning_rate": 3.719061575501822e-05, + "loss": 1.5585, + "step": 814 + }, + { + "epoch": 7.78, + "learning_rate": 3.7182652093603627e-05, + "loss": 1.5061, + "step": 815 + }, + { + "epoch": 7.79, + "learning_rate": 3.717467801614416e-05, + "loss": 1.5166, + "step": 816 + }, + { + "epoch": 7.8, + "learning_rate": 3.716669352747368e-05, + "loss": 1.7398, + "step": 817 + }, + { + "epoch": 7.81, + "learning_rate": 3.7158698632432334e-05, + "loss": 1.5472, + "step": 818 + }, + { + "epoch": 7.82, + "learning_rate": 3.71506933358666e-05, + "loss": 1.3442, + "step": 819 + }, + { + "epoch": 7.83, + "learning_rate": 3.7142677642629236e-05, + "loss": 1.5632, + "step": 820 + }, + { + "epoch": 7.84, + "learning_rate": 3.7134651557579334e-05, + "loss": 1.7743, + "step": 821 + }, + { + "epoch": 7.85, + "learning_rate": 3.712661508558227e-05, + "loss": 1.301, + "step": 822 + }, + { + "epoch": 7.86, + "learning_rate": 3.711856823150971e-05, + "loss": 1.6288, + "step": 823 + }, + { + "epoch": 7.87, + "learning_rate": 3.7110511000239615e-05, + "loss": 1.9902, + "step": 824 + }, + { + "epoch": 7.88, + "learning_rate": 3.710244339665626e-05, + "loss": 1.5762, + "step": 825 + }, + { + "epoch": 7.89, + "learning_rate": 3.709436542565017e-05, + "loss": 1.5705, + "step": 826 + }, + { + "epoch": 7.89, + "learning_rate": 3.708627709211818e-05, + "loss": 1.5489, + "step": 827 + }, + { + "epoch": 7.9, + "learning_rate": 3.707817840096341e-05, + "loss": 1.6432, + "step": 828 + }, + { + "epoch": 7.91, + "learning_rate": 3.707006935709524e-05, + "loss": 1.8954, + "step": 829 + }, + { + "epoch": 7.92, + "learning_rate": 3.7061949965429335e-05, + "loss": 1.6541, + "step": 830 + }, + { + "epoch": 7.93, + "learning_rate": 3.705382023088763e-05, + "loss": 1.5908, + "step": 831 + }, + { + "epoch": 7.94, + "learning_rate": 3.704568015839835e-05, + "loss": 1.8337, + "step": 832 + }, + { + "epoch": 7.95, + "learning_rate": 3.703752975289595e-05, + "loss": 1.5437, + "step": 833 + }, + { + "epoch": 7.96, + "learning_rate": 3.702936901932118e-05, + "loss": 1.9686, + "step": 834 + }, + { + "epoch": 7.97, + "learning_rate": 3.702119796262103e-05, + "loss": 1.637, + "step": 835 + }, + { + "epoch": 7.98, + "learning_rate": 3.7013016587748766e-05, + "loss": 1.7902, + "step": 836 + }, + { + "epoch": 7.99, + "learning_rate": 3.7004824899663896e-05, + "loss": 2.1006, + "step": 837 + }, + { + "epoch": 8.0, + "learning_rate": 3.699662290333218e-05, + "loss": 2.2165, + "step": 838 + }, + { + "epoch": 8.01, + "learning_rate": 3.698841060372564e-05, + "loss": 1.6182, + "step": 839 + }, + { + "epoch": 8.02, + "learning_rate": 3.698018800582253e-05, + "loss": 1.8699, + "step": 840 + }, + { + "epoch": 8.03, + "learning_rate": 3.697195511460734e-05, + "loss": 1.5591, + "step": 841 + }, + { + "epoch": 8.04, + "learning_rate": 3.6963711935070824e-05, + "loss": 1.6465, + "step": 842 + }, + { + "epoch": 8.05, + "learning_rate": 3.695545847220996e-05, + "loss": 1.6291, + "step": 843 + }, + { + "epoch": 8.06, + "learning_rate": 3.694719473102796e-05, + "loss": 1.6495, + "step": 844 + }, + { + "epoch": 8.07, + "learning_rate": 3.6938920716534255e-05, + "loss": 1.4413, + "step": 845 + }, + { + "epoch": 8.08, + "learning_rate": 3.6930636433744525e-05, + "loss": 1.3062, + "step": 846 + }, + { + "epoch": 8.09, + "learning_rate": 3.692234188768065e-05, + "loss": 1.4199, + "step": 847 + }, + { + "epoch": 8.1, + "learning_rate": 3.691403708337078e-05, + "loss": 1.2364, + "step": 848 + }, + { + "epoch": 8.11, + "learning_rate": 3.6905722025849204e-05, + "loss": 1.65, + "step": 849 + }, + { + "epoch": 8.11, + "learning_rate": 3.68973967201565e-05, + "loss": 1.7933, + "step": 850 + }, + { + "epoch": 8.12, + "learning_rate": 3.688906117133942e-05, + "loss": 1.5142, + "step": 851 + }, + { + "epoch": 8.13, + "learning_rate": 3.688071538445095e-05, + "loss": 1.628, + "step": 852 + }, + { + "epoch": 8.14, + "learning_rate": 3.6872359364550245e-05, + "loss": 1.3949, + "step": 853 + }, + { + "epoch": 8.15, + "learning_rate": 3.68639931167027e-05, + "loss": 1.7068, + "step": 854 + }, + { + "epoch": 8.16, + "learning_rate": 3.68556166459799e-05, + "loss": 1.9848, + "step": 855 + }, + { + "epoch": 8.17, + "learning_rate": 3.684722995745961e-05, + "loss": 1.6619, + "step": 856 + }, + { + "epoch": 8.18, + "learning_rate": 3.683883305622582e-05, + "loss": 1.4843, + "step": 857 + }, + { + "epoch": 8.19, + "learning_rate": 3.683042594736867e-05, + "loss": 1.9497, + "step": 858 + }, + { + "epoch": 8.2, + "learning_rate": 3.682200863598453e-05, + "loss": 1.6036, + "step": 859 + }, + { + "epoch": 8.21, + "learning_rate": 3.6813581127175916e-05, + "loss": 1.685, + "step": 860 + }, + { + "epoch": 8.22, + "learning_rate": 3.6805143426051564e-05, + "loss": 1.5563, + "step": 861 + }, + { + "epoch": 8.23, + "learning_rate": 3.6796695537726364e-05, + "loss": 1.8723, + "step": 862 + }, + { + "epoch": 8.24, + "learning_rate": 3.678823746732139e-05, + "loss": 1.4578, + "step": 863 + }, + { + "epoch": 8.25, + "learning_rate": 3.6779769219963884e-05, + "loss": 1.7557, + "step": 864 + }, + { + "epoch": 8.26, + "learning_rate": 3.677129080078725e-05, + "loss": 1.6742, + "step": 865 + }, + { + "epoch": 8.27, + "learning_rate": 3.676280221493107e-05, + "loss": 1.5015, + "step": 866 + }, + { + "epoch": 8.28, + "learning_rate": 3.6754303467541095e-05, + "loss": 1.7286, + "step": 867 + }, + { + "epoch": 8.29, + "learning_rate": 3.674579456376922e-05, + "loss": 1.7102, + "step": 868 + }, + { + "epoch": 8.3, + "learning_rate": 3.673727550877351e-05, + "loss": 1.6313, + "step": 869 + }, + { + "epoch": 8.31, + "learning_rate": 3.6728746307718164e-05, + "loss": 1.491, + "step": 870 + }, + { + "epoch": 8.32, + "learning_rate": 3.6720206965773554e-05, + "loss": 1.6063, + "step": 871 + }, + { + "epoch": 8.32, + "learning_rate": 3.6711657488116185e-05, + "loss": 1.764, + "step": 872 + }, + { + "epoch": 8.33, + "learning_rate": 3.6703097879928715e-05, + "loss": 1.6052, + "step": 873 + }, + { + "epoch": 8.34, + "learning_rate": 3.669452814639994e-05, + "loss": 1.5609, + "step": 874 + }, + { + "epoch": 8.35, + "learning_rate": 3.668594829272479e-05, + "loss": 1.3898, + "step": 875 + }, + { + "epoch": 8.36, + "learning_rate": 3.667735832410433e-05, + "loss": 1.9448, + "step": 876 + }, + { + "epoch": 8.37, + "learning_rate": 3.666875824574577e-05, + "loss": 1.3524, + "step": 877 + }, + { + "epoch": 8.38, + "learning_rate": 3.666014806286243e-05, + "loss": 1.6109, + "step": 878 + }, + { + "epoch": 8.39, + "learning_rate": 3.6651527780673764e-05, + "loss": 1.3357, + "step": 879 + }, + { + "epoch": 8.4, + "learning_rate": 3.664289740440535e-05, + "loss": 1.5391, + "step": 880 + }, + { + "epoch": 8.41, + "learning_rate": 3.6634256939288885e-05, + "loss": 1.7805, + "step": 881 + }, + { + "epoch": 8.42, + "learning_rate": 3.662560639056217e-05, + "loss": 1.6405, + "step": 882 + }, + { + "epoch": 8.43, + "learning_rate": 3.661694576346914e-05, + "loss": 1.7683, + "step": 883 + }, + { + "epoch": 8.44, + "learning_rate": 3.660827506325981e-05, + "loss": 1.4612, + "step": 884 + }, + { + "epoch": 8.45, + "learning_rate": 3.659959429519033e-05, + "loss": 1.5311, + "step": 885 + }, + { + "epoch": 8.46, + "learning_rate": 3.659090346452295e-05, + "loss": 1.6764, + "step": 886 + }, + { + "epoch": 8.47, + "learning_rate": 3.6582202576526e-05, + "loss": 1.5068, + "step": 887 + }, + { + "epoch": 8.48, + "learning_rate": 3.657349163647392e-05, + "loss": 1.5189, + "step": 888 + }, + { + "epoch": 8.49, + "learning_rate": 3.6564770649647244e-05, + "loss": 1.4261, + "step": 889 + }, + { + "epoch": 8.5, + "learning_rate": 3.655603962133259e-05, + "loss": 1.5871, + "step": 890 + }, + { + "epoch": 8.51, + "learning_rate": 3.654729855682267e-05, + "loss": 1.6222, + "step": 891 + }, + { + "epoch": 8.52, + "learning_rate": 3.653854746141629e-05, + "loss": 1.3151, + "step": 892 + }, + { + "epoch": 8.53, + "learning_rate": 3.65297863404183e-05, + "loss": 1.65, + "step": 893 + }, + { + "epoch": 8.53, + "learning_rate": 3.652101519913967e-05, + "loss": 1.5861, + "step": 894 + }, + { + "epoch": 8.54, + "learning_rate": 3.651223404289741e-05, + "loss": 1.5755, + "step": 895 + }, + { + "epoch": 8.55, + "learning_rate": 3.6503442877014636e-05, + "loss": 1.6442, + "step": 896 + }, + { + "epoch": 8.56, + "learning_rate": 3.64946417068205e-05, + "loss": 1.5536, + "step": 897 + }, + { + "epoch": 8.57, + "learning_rate": 3.648583053765023e-05, + "loss": 1.4257, + "step": 898 + }, + { + "epoch": 8.58, + "learning_rate": 3.647700937484512e-05, + "loss": 1.5146, + "step": 899 + }, + { + "epoch": 8.59, + "learning_rate": 3.646817822375251e-05, + "loss": 1.4811, + "step": 900 + }, + { + "epoch": 8.6, + "learning_rate": 3.645933708972583e-05, + "loss": 1.8025, + "step": 901 + }, + { + "epoch": 8.61, + "learning_rate": 3.6450485978124494e-05, + "loss": 1.8122, + "step": 902 + }, + { + "epoch": 8.62, + "learning_rate": 3.644162489431404e-05, + "loss": 2.089, + "step": 903 + }, + { + "epoch": 8.63, + "learning_rate": 3.6432753843666004e-05, + "loss": 1.8404, + "step": 904 + }, + { + "epoch": 8.64, + "learning_rate": 3.642387283155797e-05, + "loss": 1.4859, + "step": 905 + }, + { + "epoch": 8.65, + "learning_rate": 3.641498186337357e-05, + "loss": 1.6153, + "step": 906 + }, + { + "epoch": 8.66, + "learning_rate": 3.640608094450248e-05, + "loss": 1.8293, + "step": 907 + }, + { + "epoch": 8.67, + "learning_rate": 3.639717008034038e-05, + "loss": 1.4503, + "step": 908 + }, + { + "epoch": 8.68, + "learning_rate": 3.638824927628901e-05, + "loss": 1.5915, + "step": 909 + }, + { + "epoch": 8.69, + "learning_rate": 3.6379318537756094e-05, + "loss": 1.4079, + "step": 910 + }, + { + "epoch": 8.7, + "learning_rate": 3.637037787015544e-05, + "loss": 1.4972, + "step": 911 + }, + { + "epoch": 8.71, + "learning_rate": 3.6361427278906815e-05, + "loss": 2.0312, + "step": 912 + }, + { + "epoch": 8.72, + "learning_rate": 3.6352466769436044e-05, + "loss": 1.7953, + "step": 913 + }, + { + "epoch": 8.73, + "learning_rate": 3.634349634717492e-05, + "loss": 1.6306, + "step": 914 + }, + { + "epoch": 8.74, + "learning_rate": 3.63345160175613e-05, + "loss": 1.5734, + "step": 915 + }, + { + "epoch": 8.74, + "learning_rate": 3.6325525786039004e-05, + "loss": 1.2524, + "step": 916 + }, + { + "epoch": 8.75, + "learning_rate": 3.6316525658057876e-05, + "loss": 1.6502, + "step": 917 + }, + { + "epoch": 8.76, + "learning_rate": 3.630751563907375e-05, + "loss": 1.641, + "step": 918 + }, + { + "epoch": 8.77, + "learning_rate": 3.629849573454845e-05, + "loss": 1.3019, + "step": 919 + }, + { + "epoch": 8.78, + "learning_rate": 3.6289465949949805e-05, + "loss": 1.5091, + "step": 920 + }, + { + "epoch": 8.79, + "learning_rate": 3.628042629075164e-05, + "loss": 1.5019, + "step": 921 + }, + { + "epoch": 8.8, + "learning_rate": 3.627137676243374e-05, + "loss": 1.5229, + "step": 922 + }, + { + "epoch": 8.81, + "learning_rate": 3.626231737048189e-05, + "loss": 1.226, + "step": 923 + }, + { + "epoch": 8.82, + "learning_rate": 3.625324812038786e-05, + "loss": 1.6996, + "step": 924 + }, + { + "epoch": 8.83, + "learning_rate": 3.6244169017649385e-05, + "loss": 1.6795, + "step": 925 + }, + { + "epoch": 8.84, + "learning_rate": 3.623508006777018e-05, + "loss": 1.6949, + "step": 926 + }, + { + "epoch": 8.85, + "learning_rate": 3.622598127625991e-05, + "loss": 1.8036, + "step": 927 + }, + { + "epoch": 8.86, + "learning_rate": 3.6216872648634235e-05, + "loss": 1.9046, + "step": 928 + }, + { + "epoch": 8.87, + "learning_rate": 3.620775419041476e-05, + "loss": 1.4679, + "step": 929 + }, + { + "epoch": 8.88, + "learning_rate": 3.619862590712904e-05, + "loss": 1.2019, + "step": 930 + }, + { + "epoch": 8.89, + "learning_rate": 3.618948780431061e-05, + "loss": 1.1759, + "step": 931 + }, + { + "epoch": 8.9, + "learning_rate": 3.6180339887498953e-05, + "loss": 1.7787, + "step": 932 + }, + { + "epoch": 8.91, + "learning_rate": 3.617118216223948e-05, + "loss": 1.5699, + "step": 933 + }, + { + "epoch": 8.92, + "learning_rate": 3.616201463408357e-05, + "loss": 1.752, + "step": 934 + }, + { + "epoch": 8.93, + "learning_rate": 3.6152837308588535e-05, + "loss": 1.7895, + "step": 935 + }, + { + "epoch": 8.94, + "learning_rate": 3.6143650191317625e-05, + "loss": 1.8609, + "step": 936 + }, + { + "epoch": 8.95, + "learning_rate": 3.613445328784003e-05, + "loss": 1.6286, + "step": 937 + }, + { + "epoch": 8.95, + "learning_rate": 3.6125246603730875e-05, + "loss": 1.6711, + "step": 938 + }, + { + "epoch": 8.96, + "learning_rate": 3.61160301445712e-05, + "loss": 1.7357, + "step": 939 + }, + { + "epoch": 8.97, + "learning_rate": 3.610680391594799e-05, + "loss": 1.7114, + "step": 940 + }, + { + "epoch": 8.98, + "learning_rate": 3.609756792345414e-05, + "loss": 1.6556, + "step": 941 + }, + { + "epoch": 8.99, + "learning_rate": 3.6088322172688454e-05, + "loss": 1.361, + "step": 942 + }, + { + "epoch": 9.0, + "learning_rate": 3.6079066669255685e-05, + "loss": 1.7143, + "step": 943 + }, + { + "epoch": 9.01, + "learning_rate": 3.606980141876647e-05, + "loss": 1.5539, + "step": 944 + }, + { + "epoch": 9.02, + "learning_rate": 3.606052642683735e-05, + "loss": 1.4883, + "step": 945 + }, + { + "epoch": 9.03, + "learning_rate": 3.605124169909079e-05, + "loss": 1.5267, + "step": 946 + }, + { + "epoch": 9.04, + "learning_rate": 3.604194724115515e-05, + "loss": 1.5666, + "step": 947 + }, + { + "epoch": 9.05, + "learning_rate": 3.6032643058664684e-05, + "loss": 1.9905, + "step": 948 + }, + { + "epoch": 9.06, + "learning_rate": 3.602332915725955e-05, + "loss": 1.5381, + "step": 949 + }, + { + "epoch": 9.07, + "learning_rate": 3.60140055425858e-05, + "loss": 1.7322, + "step": 950 + }, + { + "epoch": 9.08, + "learning_rate": 3.600467222029535e-05, + "loss": 1.3818, + "step": 951 + }, + { + "epoch": 9.09, + "learning_rate": 3.5995329196046016e-05, + "loss": 1.5387, + "step": 952 + }, + { + "epoch": 9.1, + "learning_rate": 3.598597647550151e-05, + "loss": 1.8122, + "step": 953 + }, + { + "epoch": 9.11, + "learning_rate": 3.59766140643314e-05, + "loss": 1.5953, + "step": 954 + }, + { + "epoch": 9.12, + "learning_rate": 3.596724196821114e-05, + "loss": 1.8209, + "step": 955 + }, + { + "epoch": 9.13, + "learning_rate": 3.595786019282206e-05, + "loss": 1.7275, + "step": 956 + }, + { + "epoch": 9.14, + "learning_rate": 3.594846874385133e-05, + "loss": 1.5624, + "step": 957 + }, + { + "epoch": 9.15, + "learning_rate": 3.593906762699202e-05, + "loss": 1.4297, + "step": 958 + }, + { + "epoch": 9.16, + "learning_rate": 3.5929656847943036e-05, + "loss": 1.6746, + "step": 959 + }, + { + "epoch": 9.16, + "learning_rate": 3.592023641240915e-05, + "loss": 1.4554, + "step": 960 + }, + { + "epoch": 9.17, + "learning_rate": 3.591080632610099e-05, + "loss": 1.3771, + "step": 961 + }, + { + "epoch": 9.18, + "learning_rate": 3.590136659473502e-05, + "loss": 2.0115, + "step": 962 + }, + { + "epoch": 9.19, + "learning_rate": 3.5891917224033575e-05, + "loss": 2.0063, + "step": 963 + }, + { + "epoch": 9.2, + "learning_rate": 3.588245821972481e-05, + "loss": 1.3671, + "step": 964 + }, + { + "epoch": 9.21, + "learning_rate": 3.587298958754274e-05, + "loss": 1.5355, + "step": 965 + }, + { + "epoch": 9.22, + "learning_rate": 3.5863511333227196e-05, + "loss": 1.8621, + "step": 966 + }, + { + "epoch": 9.23, + "learning_rate": 3.5854023462523875e-05, + "loss": 1.4456, + "step": 967 + }, + { + "epoch": 9.24, + "learning_rate": 3.5844525981184244e-05, + "loss": 1.8278, + "step": 968 + }, + { + "epoch": 9.25, + "learning_rate": 3.583501889496567e-05, + "loss": 1.4893, + "step": 969 + }, + { + "epoch": 9.26, + "learning_rate": 3.582550220963127e-05, + "loss": 1.5093, + "step": 970 + }, + { + "epoch": 9.27, + "learning_rate": 3.581597593095004e-05, + "loss": 1.8708, + "step": 971 + }, + { + "epoch": 9.28, + "learning_rate": 3.580644006469676e-05, + "loss": 1.7599, + "step": 972 + }, + { + "epoch": 9.29, + "learning_rate": 3.579689461665203e-05, + "loss": 1.6053, + "step": 973 + }, + { + "epoch": 9.3, + "learning_rate": 3.578733959260224e-05, + "loss": 1.9628, + "step": 974 + }, + { + "epoch": 9.31, + "learning_rate": 3.577777499833963e-05, + "loss": 1.4568, + "step": 975 + }, + { + "epoch": 9.32, + "learning_rate": 3.576820083966219e-05, + "loss": 1.9227, + "step": 976 + }, + { + "epoch": 9.33, + "learning_rate": 3.575861712237375e-05, + "loss": 1.4436, + "step": 977 + }, + { + "epoch": 9.34, + "learning_rate": 3.57490238522839e-05, + "loss": 1.5764, + "step": 978 + }, + { + "epoch": 9.35, + "learning_rate": 3.573942103520803e-05, + "loss": 1.5892, + "step": 979 + }, + { + "epoch": 9.36, + "learning_rate": 3.572980867696735e-05, + "loss": 1.6236, + "step": 980 + }, + { + "epoch": 9.37, + "learning_rate": 3.5720186783388815e-05, + "loss": 1.4467, + "step": 981 + }, + { + "epoch": 9.37, + "learning_rate": 3.571055536030516e-05, + "loss": 1.3582, + "step": 982 + }, + { + "epoch": 9.38, + "learning_rate": 3.570091441355493e-05, + "loss": 1.4584, + "step": 983 + }, + { + "epoch": 9.39, + "learning_rate": 3.56912639489824e-05, + "loss": 1.7837, + "step": 984 + }, + { + "epoch": 9.4, + "learning_rate": 3.568160397243767e-05, + "loss": 1.6467, + "step": 985 + }, + { + "epoch": 9.41, + "learning_rate": 3.567193448977653e-05, + "loss": 1.4726, + "step": 986 + }, + { + "epoch": 9.42, + "learning_rate": 3.5662255506860615e-05, + "loss": 1.4776, + "step": 987 + }, + { + "epoch": 9.43, + "learning_rate": 3.565256702955726e-05, + "loss": 1.4576, + "step": 988 + }, + { + "epoch": 9.44, + "learning_rate": 3.564286906373959e-05, + "loss": 1.1976, + "step": 989 + }, + { + "epoch": 9.45, + "learning_rate": 3.5633161615286443e-05, + "loss": 1.6825, + "step": 990 + }, + { + "epoch": 9.46, + "learning_rate": 3.562344469008245e-05, + "loss": 1.5231, + "step": 991 + }, + { + "epoch": 9.47, + "learning_rate": 3.561371829401796e-05, + "loss": 1.8706, + "step": 992 + }, + { + "epoch": 9.48, + "learning_rate": 3.560398243298907e-05, + "loss": 1.7967, + "step": 993 + }, + { + "epoch": 9.49, + "learning_rate": 3.559423711289761e-05, + "loss": 1.4289, + "step": 994 + }, + { + "epoch": 9.5, + "learning_rate": 3.558448233965116e-05, + "loss": 1.4309, + "step": 995 + }, + { + "epoch": 9.51, + "learning_rate": 3.5574718119163013e-05, + "loss": 1.3758, + "step": 996 + }, + { + "epoch": 9.52, + "learning_rate": 3.556494445735218e-05, + "loss": 1.9035, + "step": 997 + }, + { + "epoch": 9.53, + "learning_rate": 3.555516136014344e-05, + "loss": 1.3978, + "step": 998 + }, + { + "epoch": 9.54, + "learning_rate": 3.554536883346724e-05, + "loss": 1.3376, + "step": 999 + }, + { + "epoch": 9.55, + "learning_rate": 3.5535566883259767e-05, + "loss": 1.2992, + "step": 1000 + }, + { + "epoch": 9.56, + "learning_rate": 3.5525755515462925e-05, + "loss": 1.3485, + "step": 1001 + }, + { + "epoch": 9.57, + "learning_rate": 3.5515934736024315e-05, + "loss": 1.9009, + "step": 1002 + }, + { + "epoch": 9.58, + "learning_rate": 3.5506104550897245e-05, + "loss": 1.6154, + "step": 1003 + }, + { + "epoch": 9.58, + "learning_rate": 3.549626496604073e-05, + "loss": 1.7949, + "step": 1004 + }, + { + "epoch": 9.59, + "learning_rate": 3.54864159874195e-05, + "loss": 1.4455, + "step": 1005 + }, + { + "epoch": 9.6, + "learning_rate": 3.5476557621003934e-05, + "loss": 1.592, + "step": 1006 + }, + { + "epoch": 9.61, + "learning_rate": 3.546668987277014e-05, + "loss": 1.3845, + "step": 1007 + }, + { + "epoch": 9.62, + "learning_rate": 3.54568127486999e-05, + "loss": 1.9232, + "step": 1008 + }, + { + "epoch": 9.63, + "learning_rate": 3.5446926254780686e-05, + "loss": 1.9834, + "step": 1009 + }, + { + "epoch": 9.64, + "learning_rate": 3.543703039700563e-05, + "loss": 1.8988, + "step": 1010 + }, + { + "epoch": 9.65, + "learning_rate": 3.542712518137358e-05, + "loss": 1.5278, + "step": 1011 + }, + { + "epoch": 9.66, + "learning_rate": 3.541721061388901e-05, + "loss": 1.5744, + "step": 1012 + }, + { + "epoch": 9.67, + "learning_rate": 3.54072867005621e-05, + "loss": 1.5297, + "step": 1013 + }, + { + "epoch": 9.68, + "learning_rate": 3.539735344740868e-05, + "loss": 1.638, + "step": 1014 + }, + { + "epoch": 9.69, + "learning_rate": 3.538741086045023e-05, + "loss": 1.2058, + "step": 1015 + }, + { + "epoch": 9.7, + "learning_rate": 3.537745894571391e-05, + "loss": 2.0204, + "step": 1016 + }, + { + "epoch": 9.71, + "learning_rate": 3.536749770923252e-05, + "loss": 1.7233, + "step": 1017 + }, + { + "epoch": 9.72, + "learning_rate": 3.535752715704452e-05, + "loss": 1.5694, + "step": 1018 + }, + { + "epoch": 9.73, + "learning_rate": 3.534754729519402e-05, + "loss": 1.3117, + "step": 1019 + }, + { + "epoch": 9.74, + "learning_rate": 3.533755812973075e-05, + "loss": 1.7292, + "step": 1020 + }, + { + "epoch": 9.75, + "learning_rate": 3.532755966671011e-05, + "loss": 1.2251, + "step": 1021 + }, + { + "epoch": 9.76, + "learning_rate": 3.531755191219312e-05, + "loss": 1.3994, + "step": 1022 + }, + { + "epoch": 9.77, + "learning_rate": 3.530753487224643e-05, + "loss": 1.7878, + "step": 1023 + }, + { + "epoch": 9.78, + "learning_rate": 3.529750855294232e-05, + "loss": 1.4629, + "step": 1024 + }, + { + "epoch": 9.79, + "learning_rate": 3.5287472960358706e-05, + "loss": 1.5845, + "step": 1025 + }, + { + "epoch": 9.79, + "learning_rate": 3.5277428100579123e-05, + "loss": 1.7185, + "step": 1026 + }, + { + "epoch": 9.8, + "learning_rate": 3.5267373979692706e-05, + "loss": 1.1366, + "step": 1027 + }, + { + "epoch": 9.81, + "learning_rate": 3.5257310603794236e-05, + "loss": 1.9161, + "step": 1028 + }, + { + "epoch": 9.82, + "learning_rate": 3.524723797898406e-05, + "loss": 1.3159, + "step": 1029 + }, + { + "epoch": 9.83, + "learning_rate": 3.523715611136818e-05, + "loss": 1.8724, + "step": 1030 + }, + { + "epoch": 9.84, + "learning_rate": 3.522706500705816e-05, + "loss": 1.6522, + "step": 1031 + }, + { + "epoch": 9.85, + "learning_rate": 3.5216964672171195e-05, + "loss": 1.4032, + "step": 1032 + }, + { + "epoch": 9.86, + "learning_rate": 3.520685511283005e-05, + "loss": 1.1783, + "step": 1033 + }, + { + "epoch": 9.87, + "learning_rate": 3.519673633516311e-05, + "loss": 1.8208, + "step": 1034 + }, + { + "epoch": 9.88, + "learning_rate": 3.518660834530431e-05, + "loss": 1.8209, + "step": 1035 + }, + { + "epoch": 9.89, + "learning_rate": 3.5176471149393205e-05, + "loss": 1.4356, + "step": 1036 + }, + { + "epoch": 9.9, + "learning_rate": 3.516632475357491e-05, + "loss": 1.538, + "step": 1037 + }, + { + "epoch": 9.91, + "learning_rate": 3.5156169164000137e-05, + "loss": 1.491, + "step": 1038 + }, + { + "epoch": 9.92, + "learning_rate": 3.514600438682514e-05, + "loss": 1.8408, + "step": 1039 + }, + { + "epoch": 9.93, + "learning_rate": 3.5135830428211766e-05, + "loss": 1.4597, + "step": 1040 + }, + { + "epoch": 9.94, + "learning_rate": 3.512564729432743e-05, + "loss": 1.4548, + "step": 1041 + }, + { + "epoch": 9.95, + "learning_rate": 3.5115454991345095e-05, + "loss": 1.8536, + "step": 1042 + }, + { + "epoch": 9.96, + "learning_rate": 3.5105253525443284e-05, + "loss": 1.2502, + "step": 1043 + }, + { + "epoch": 9.97, + "learning_rate": 3.5095042902806086e-05, + "loss": 1.4747, + "step": 1044 + }, + { + "epoch": 9.98, + "learning_rate": 3.508482312962313e-05, + "loss": 1.8897, + "step": 1045 + }, + { + "epoch": 9.99, + "learning_rate": 3.5074594212089604e-05, + "loss": 1.8012, + "step": 1046 + }, + { + "epoch": 10.0, + "learning_rate": 3.5064356156406215e-05, + "loss": 1.5306, + "step": 1047 + }, + { + "epoch": 10.0, + "learning_rate": 3.505410896877924e-05, + "loss": 1.8328, + "step": 1048 + }, + { + "epoch": 10.01, + "learning_rate": 3.504385265542047e-05, + "loss": 1.5018, + "step": 1049 + }, + { + "epoch": 10.02, + "learning_rate": 3.503358722254723e-05, + "loss": 1.4653, + "step": 1050 + }, + { + "epoch": 10.03, + "learning_rate": 3.5023312676382385e-05, + "loss": 1.4997, + "step": 1051 + }, + { + "epoch": 10.04, + "learning_rate": 3.501302902315432e-05, + "loss": 1.5192, + "step": 1052 + }, + { + "epoch": 10.05, + "learning_rate": 3.5002736269096934e-05, + "loss": 1.5747, + "step": 1053 + }, + { + "epoch": 10.06, + "learning_rate": 3.499243442044965e-05, + "loss": 1.8655, + "step": 1054 + }, + { + "epoch": 10.07, + "learning_rate": 3.4982123483457405e-05, + "loss": 1.7686, + "step": 1055 + }, + { + "epoch": 10.08, + "learning_rate": 3.497180346437063e-05, + "loss": 1.5205, + "step": 1056 + }, + { + "epoch": 10.09, + "learning_rate": 3.496147436944529e-05, + "loss": 1.5677, + "step": 1057 + }, + { + "epoch": 10.1, + "learning_rate": 3.4951136204942817e-05, + "loss": 1.5271, + "step": 1058 + }, + { + "epoch": 10.11, + "learning_rate": 3.4940788977130164e-05, + "loss": 1.4054, + "step": 1059 + }, + { + "epoch": 10.12, + "learning_rate": 3.493043269227978e-05, + "loss": 1.6759, + "step": 1060 + }, + { + "epoch": 10.13, + "learning_rate": 3.49200673566696e-05, + "loss": 1.5794, + "step": 1061 + }, + { + "epoch": 10.14, + "learning_rate": 3.4909692976583025e-05, + "loss": 1.8507, + "step": 1062 + }, + { + "epoch": 10.15, + "learning_rate": 3.489930955830898e-05, + "loss": 1.6998, + "step": 1063 + }, + { + "epoch": 10.16, + "learning_rate": 3.4888917108141825e-05, + "loss": 1.8435, + "step": 1064 + }, + { + "epoch": 10.17, + "learning_rate": 3.4878515632381425e-05, + "loss": 1.7628, + "step": 1065 + }, + { + "epoch": 10.18, + "learning_rate": 3.4868105137333104e-05, + "loss": 1.6635, + "step": 1066 + }, + { + "epoch": 10.19, + "learning_rate": 3.4857685629307664e-05, + "loss": 1.74, + "step": 1067 + }, + { + "epoch": 10.2, + "learning_rate": 3.4847257114621356e-05, + "loss": 1.7783, + "step": 1068 + }, + { + "epoch": 10.21, + "learning_rate": 3.48368195995959e-05, + "loss": 1.7297, + "step": 1069 + }, + { + "epoch": 10.21, + "learning_rate": 3.482637309055846e-05, + "loss": 1.5303, + "step": 1070 + }, + { + "epoch": 10.22, + "learning_rate": 3.481591759384168e-05, + "loss": 1.7376, + "step": 1071 + }, + { + "epoch": 10.23, + "learning_rate": 3.4805453115783626e-05, + "loss": 1.2696, + "step": 1072 + }, + { + "epoch": 10.24, + "learning_rate": 3.4794979662727804e-05, + "loss": 2.0244, + "step": 1073 + }, + { + "epoch": 10.25, + "learning_rate": 3.4784497241023195e-05, + "loss": 1.8679, + "step": 1074 + }, + { + "epoch": 10.26, + "learning_rate": 3.4774005857024185e-05, + "loss": 1.5034, + "step": 1075 + }, + { + "epoch": 10.27, + "learning_rate": 3.4763505517090596e-05, + "loss": 1.3648, + "step": 1076 + }, + { + "epoch": 10.28, + "learning_rate": 3.47529962275877e-05, + "loss": 1.4428, + "step": 1077 + }, + { + "epoch": 10.29, + "learning_rate": 3.4742477994886165e-05, + "loss": 1.6475, + "step": 1078 + }, + { + "epoch": 10.3, + "learning_rate": 3.4731950825362106e-05, + "loss": 1.4628, + "step": 1079 + }, + { + "epoch": 10.31, + "learning_rate": 3.472141472539704e-05, + "loss": 1.4779, + "step": 1080 + }, + { + "epoch": 10.32, + "learning_rate": 3.47108697013779e-05, + "loss": 1.6217, + "step": 1081 + }, + { + "epoch": 10.33, + "learning_rate": 3.4700315759697045e-05, + "loss": 1.6336, + "step": 1082 + }, + { + "epoch": 10.34, + "learning_rate": 3.468975290675221e-05, + "loss": 1.5702, + "step": 1083 + }, + { + "epoch": 10.35, + "learning_rate": 3.467918114894656e-05, + "loss": 1.2273, + "step": 1084 + }, + { + "epoch": 10.36, + "learning_rate": 3.4668600492688635e-05, + "loss": 1.9606, + "step": 1085 + }, + { + "epoch": 10.37, + "learning_rate": 3.4658010944392385e-05, + "loss": 1.744, + "step": 1086 + }, + { + "epoch": 10.38, + "learning_rate": 3.464741251047715e-05, + "loss": 1.5932, + "step": 1087 + }, + { + "epoch": 10.39, + "learning_rate": 3.463680519736764e-05, + "loss": 1.4873, + "step": 1088 + }, + { + "epoch": 10.4, + "learning_rate": 3.462618901149398e-05, + "loss": 1.825, + "step": 1089 + }, + { + "epoch": 10.41, + "learning_rate": 3.461556395929163e-05, + "loss": 1.8057, + "step": 1090 + }, + { + "epoch": 10.42, + "learning_rate": 3.460493004720147e-05, + "loss": 1.4646, + "step": 1091 + }, + { + "epoch": 10.42, + "learning_rate": 3.4594287281669713e-05, + "loss": 1.4662, + "step": 1092 + }, + { + "epoch": 10.43, + "learning_rate": 3.458363566914796e-05, + "loss": 1.7328, + "step": 1093 + }, + { + "epoch": 10.44, + "learning_rate": 3.457297521609316e-05, + "loss": 2.0391, + "step": 1094 + }, + { + "epoch": 10.45, + "learning_rate": 3.456230592896765e-05, + "loss": 1.8489, + "step": 1095 + }, + { + "epoch": 10.46, + "learning_rate": 3.455162781423909e-05, + "loss": 1.8099, + "step": 1096 + }, + { + "epoch": 10.47, + "learning_rate": 3.454094087838051e-05, + "loss": 1.704, + "step": 1097 + }, + { + "epoch": 10.48, + "learning_rate": 3.453024512787027e-05, + "loss": 1.5132, + "step": 1098 + }, + { + "epoch": 10.49, + "learning_rate": 3.4519540569192097e-05, + "loss": 1.381, + "step": 1099 + }, + { + "epoch": 10.5, + "learning_rate": 3.450882720883504e-05, + "loss": 1.5345, + "step": 1100 + }, + { + "epoch": 10.51, + "learning_rate": 3.44981050532935e-05, + "loss": 1.7061, + "step": 1101 + }, + { + "epoch": 10.52, + "learning_rate": 3.4487374109067174e-05, + "loss": 1.3377, + "step": 1102 + }, + { + "epoch": 10.53, + "learning_rate": 3.4476634382661135e-05, + "loss": 1.478, + "step": 1103 + }, + { + "epoch": 10.54, + "learning_rate": 3.446588588058574e-05, + "loss": 1.636, + "step": 1104 + }, + { + "epoch": 10.55, + "learning_rate": 3.445512860935669e-05, + "loss": 1.353, + "step": 1105 + }, + { + "epoch": 10.56, + "learning_rate": 3.4444362575495e-05, + "loss": 1.6643, + "step": 1106 + }, + { + "epoch": 10.57, + "learning_rate": 3.443358778552698e-05, + "loss": 1.5645, + "step": 1107 + }, + { + "epoch": 10.58, + "learning_rate": 3.442280424598426e-05, + "loss": 1.5542, + "step": 1108 + }, + { + "epoch": 10.59, + "learning_rate": 3.4412011963403773e-05, + "loss": 1.7813, + "step": 1109 + }, + { + "epoch": 10.6, + "learning_rate": 3.4401210944327745e-05, + "loss": 1.3801, + "step": 1110 + }, + { + "epoch": 10.61, + "learning_rate": 3.439040119530372e-05, + "loss": 1.6005, + "step": 1111 + }, + { + "epoch": 10.62, + "learning_rate": 3.4379582722884496e-05, + "loss": 1.8725, + "step": 1112 + }, + { + "epoch": 10.63, + "learning_rate": 3.43687555336282e-05, + "loss": 1.7498, + "step": 1113 + }, + { + "epoch": 10.63, + "learning_rate": 3.435791963409822e-05, + "loss": 1.7959, + "step": 1114 + }, + { + "epoch": 10.64, + "learning_rate": 3.4347075030863224e-05, + "loss": 1.7125, + "step": 1115 + }, + { + "epoch": 10.65, + "learning_rate": 3.433622173049717e-05, + "loss": 1.472, + "step": 1116 + }, + { + "epoch": 10.66, + "learning_rate": 3.4325359739579265e-05, + "loss": 1.5936, + "step": 1117 + }, + { + "epoch": 10.67, + "learning_rate": 3.4314489064694006e-05, + "loss": 1.4108, + "step": 1118 + }, + { + "epoch": 10.68, + "learning_rate": 3.430360971243115e-05, + "loss": 1.7437, + "step": 1119 + }, + { + "epoch": 10.69, + "learning_rate": 3.4292721689385705e-05, + "loss": 1.2854, + "step": 1120 + }, + { + "epoch": 10.7, + "learning_rate": 3.428182500215794e-05, + "loss": 1.2375, + "step": 1121 + }, + { + "epoch": 10.71, + "learning_rate": 3.427091965735338e-05, + "loss": 1.255, + "step": 1122 + }, + { + "epoch": 10.72, + "learning_rate": 3.4260005661582796e-05, + "loss": 1.5184, + "step": 1123 + }, + { + "epoch": 10.73, + "learning_rate": 3.42490830214622e-05, + "loss": 1.4044, + "step": 1124 + }, + { + "epoch": 10.74, + "learning_rate": 3.423815174361284e-05, + "loss": 1.2383, + "step": 1125 + }, + { + "epoch": 10.75, + "learning_rate": 3.422721183466122e-05, + "loss": 1.3763, + "step": 1126 + }, + { + "epoch": 10.76, + "learning_rate": 3.4216263301239047e-05, + "loss": 1.4942, + "step": 1127 + }, + { + "epoch": 10.77, + "learning_rate": 3.420530614998328e-05, + "loss": 1.3555, + "step": 1128 + }, + { + "epoch": 10.78, + "learning_rate": 3.41943403875361e-05, + "loss": 2.0496, + "step": 1129 + }, + { + "epoch": 10.79, + "learning_rate": 3.4183366020544895e-05, + "loss": 1.4818, + "step": 1130 + }, + { + "epoch": 10.8, + "learning_rate": 3.417238305566228e-05, + "loss": 1.889, + "step": 1131 + }, + { + "epoch": 10.81, + "learning_rate": 3.4161391499546066e-05, + "loss": 1.8073, + "step": 1132 + }, + { + "epoch": 10.82, + "learning_rate": 3.41503913588593e-05, + "loss": 1.7136, + "step": 1133 + }, + { + "epoch": 10.83, + "learning_rate": 3.41393826402702e-05, + "loss": 1.2604, + "step": 1134 + }, + { + "epoch": 10.84, + "learning_rate": 3.412836535045222e-05, + "loss": 1.5918, + "step": 1135 + }, + { + "epoch": 10.84, + "learning_rate": 3.4117339496083974e-05, + "loss": 1.8913, + "step": 1136 + }, + { + "epoch": 10.85, + "learning_rate": 3.410630508384929e-05, + "loss": 1.7122, + "step": 1137 + }, + { + "epoch": 10.86, + "learning_rate": 3.4095262120437183e-05, + "loss": 2.079, + "step": 1138 + }, + { + "epoch": 10.87, + "learning_rate": 3.408421061254184e-05, + "loss": 1.4886, + "step": 1139 + }, + { + "epoch": 10.88, + "learning_rate": 3.407315056686264e-05, + "loss": 1.7966, + "step": 1140 + }, + { + "epoch": 10.89, + "learning_rate": 3.4062081990104125e-05, + "loss": 1.4015, + "step": 1141 + }, + { + "epoch": 10.9, + "learning_rate": 3.405100488897603e-05, + "loss": 1.7746, + "step": 1142 + }, + { + "epoch": 10.91, + "learning_rate": 3.4039919270193215e-05, + "loss": 1.7026, + "step": 1143 + }, + { + "epoch": 10.92, + "learning_rate": 3.402882514047576e-05, + "loss": 1.2251, + "step": 1144 + }, + { + "epoch": 10.93, + "learning_rate": 3.401772250654886e-05, + "loss": 1.4055, + "step": 1145 + }, + { + "epoch": 10.94, + "learning_rate": 3.4006611375142894e-05, + "loss": 1.4428, + "step": 1146 + }, + { + "epoch": 10.95, + "learning_rate": 3.3995491752993356e-05, + "loss": 1.4167, + "step": 1147 + }, + { + "epoch": 10.96, + "learning_rate": 3.398436364684093e-05, + "loss": 1.4982, + "step": 1148 + }, + { + "epoch": 10.97, + "learning_rate": 3.397322706343141e-05, + "loss": 1.3595, + "step": 1149 + }, + { + "epoch": 10.98, + "learning_rate": 3.396208200951576e-05, + "loss": 1.6562, + "step": 1150 + }, + { + "epoch": 10.99, + "learning_rate": 3.395092849185005e-05, + "loss": 1.5361, + "step": 1151 + }, + { + "epoch": 11.0, + "learning_rate": 3.393976651719548e-05, + "loss": 1.5318, + "step": 1152 + }, + { + "epoch": 11.01, + "learning_rate": 3.39285960923184e-05, + "loss": 1.8145, + "step": 1153 + }, + { + "epoch": 11.02, + "learning_rate": 3.3917417223990275e-05, + "loss": 1.8544, + "step": 1154 + }, + { + "epoch": 11.03, + "learning_rate": 3.390622991898767e-05, + "loss": 1.6446, + "step": 1155 + }, + { + "epoch": 11.04, + "learning_rate": 3.389503418409229e-05, + "loss": 1.3861, + "step": 1156 + }, + { + "epoch": 11.05, + "learning_rate": 3.388383002609093e-05, + "loss": 1.7206, + "step": 1157 + }, + { + "epoch": 11.05, + "learning_rate": 3.3872617451775497e-05, + "loss": 1.7665, + "step": 1158 + }, + { + "epoch": 11.06, + "learning_rate": 3.386139646794302e-05, + "loss": 1.9407, + "step": 1159 + }, + { + "epoch": 11.07, + "learning_rate": 3.385016708139558e-05, + "loss": 1.9355, + "step": 1160 + }, + { + "epoch": 11.08, + "learning_rate": 3.383892929894041e-05, + "loss": 1.6728, + "step": 1161 + }, + { + "epoch": 11.09, + "learning_rate": 3.382768312738978e-05, + "loss": 1.6918, + "step": 1162 + }, + { + "epoch": 11.1, + "learning_rate": 3.3816428573561076e-05, + "loss": 1.7918, + "step": 1163 + }, + { + "epoch": 11.11, + "learning_rate": 3.380516564427675e-05, + "loss": 2.0006, + "step": 1164 + }, + { + "epoch": 11.12, + "learning_rate": 3.3793894346364354e-05, + "loss": 1.908, + "step": 1165 + }, + { + "epoch": 11.13, + "learning_rate": 3.3782614686656484e-05, + "loss": 1.1569, + "step": 1166 + }, + { + "epoch": 11.14, + "learning_rate": 3.3771326671990815e-05, + "loss": 1.4812, + "step": 1167 + }, + { + "epoch": 11.15, + "learning_rate": 3.376003030921009e-05, + "loss": 1.8962, + "step": 1168 + }, + { + "epoch": 11.16, + "learning_rate": 3.374872560516213e-05, + "loss": 1.7391, + "step": 1169 + }, + { + "epoch": 11.17, + "learning_rate": 3.3737412566699776e-05, + "loss": 1.7139, + "step": 1170 + }, + { + "epoch": 11.18, + "learning_rate": 3.372609120068095e-05, + "loss": 1.8667, + "step": 1171 + }, + { + "epoch": 11.19, + "learning_rate": 3.371476151396861e-05, + "loss": 1.337, + "step": 1172 + }, + { + "epoch": 11.2, + "learning_rate": 3.370342351343075e-05, + "loss": 1.53, + "step": 1173 + }, + { + "epoch": 11.21, + "learning_rate": 3.3692077205940434e-05, + "loss": 1.0921, + "step": 1174 + }, + { + "epoch": 11.22, + "learning_rate": 3.368072259837572e-05, + "loss": 1.9563, + "step": 1175 + }, + { + "epoch": 11.23, + "learning_rate": 3.366935969761973e-05, + "loss": 1.6369, + "step": 1176 + }, + { + "epoch": 11.24, + "learning_rate": 3.365798851056061e-05, + "loss": 1.5583, + "step": 1177 + }, + { + "epoch": 11.25, + "learning_rate": 3.364660904409151e-05, + "loss": 1.1697, + "step": 1178 + }, + { + "epoch": 11.26, + "learning_rate": 3.3635221305110616e-05, + "loss": 1.7389, + "step": 1179 + }, + { + "epoch": 11.26, + "learning_rate": 3.362382530052111e-05, + "loss": 1.5185, + "step": 1180 + }, + { + "epoch": 11.27, + "learning_rate": 3.361242103723122e-05, + "loss": 1.3738, + "step": 1181 + }, + { + "epoch": 11.28, + "learning_rate": 3.360100852215413e-05, + "loss": 1.6497, + "step": 1182 + }, + { + "epoch": 11.29, + "learning_rate": 3.3589587762208085e-05, + "loss": 1.5889, + "step": 1183 + }, + { + "epoch": 11.3, + "learning_rate": 3.357815876431628e-05, + "loss": 1.7571, + "step": 1184 + }, + { + "epoch": 11.31, + "learning_rate": 3.356672153540692e-05, + "loss": 1.4027, + "step": 1185 + }, + { + "epoch": 11.32, + "learning_rate": 3.355527608241321e-05, + "loss": 1.2755, + "step": 1186 + }, + { + "epoch": 11.33, + "learning_rate": 3.354382241227332e-05, + "loss": 1.3832, + "step": 1187 + }, + { + "epoch": 11.34, + "learning_rate": 3.3532360531930424e-05, + "loss": 1.5005, + "step": 1188 + }, + { + "epoch": 11.35, + "learning_rate": 3.352089044833265e-05, + "loss": 1.7017, + "step": 1189 + }, + { + "epoch": 11.36, + "learning_rate": 3.350941216843311e-05, + "loss": 1.7426, + "step": 1190 + }, + { + "epoch": 11.37, + "learning_rate": 3.3497925699189904e-05, + "loss": 1.8196, + "step": 1191 + }, + { + "epoch": 11.38, + "learning_rate": 3.348643104756605e-05, + "loss": 1.7152, + "step": 1192 + }, + { + "epoch": 11.39, + "learning_rate": 3.347492822052957e-05, + "loss": 1.5313, + "step": 1193 + }, + { + "epoch": 11.4, + "learning_rate": 3.346341722505343e-05, + "loss": 1.7087, + "step": 1194 + }, + { + "epoch": 11.41, + "learning_rate": 3.345189806811552e-05, + "loss": 2.1994, + "step": 1195 + }, + { + "epoch": 11.42, + "learning_rate": 3.3440370756698724e-05, + "loss": 1.8804, + "step": 1196 + }, + { + "epoch": 11.43, + "learning_rate": 3.342883529779083e-05, + "loss": 1.5462, + "step": 1197 + }, + { + "epoch": 11.44, + "learning_rate": 3.3417291698384586e-05, + "loss": 1.5166, + "step": 1198 + }, + { + "epoch": 11.45, + "learning_rate": 3.3405739965477675e-05, + "loss": 1.2847, + "step": 1199 + }, + { + "epoch": 11.46, + "learning_rate": 3.339418010607269e-05, + "loss": 1.3554, + "step": 1200 + }, + { + "epoch": 11.47, + "learning_rate": 3.3382612127177166e-05, + "loss": 2.0597, + "step": 1201 + }, + { + "epoch": 11.47, + "learning_rate": 3.3371036035803576e-05, + "loss": 1.8137, + "step": 1202 + }, + { + "epoch": 11.48, + "learning_rate": 3.335945183896928e-05, + "loss": 1.4125, + "step": 1203 + }, + { + "epoch": 11.49, + "learning_rate": 3.334785954369656e-05, + "loss": 1.7243, + "step": 1204 + }, + { + "epoch": 11.5, + "learning_rate": 3.333625915701263e-05, + "loss": 1.2448, + "step": 1205 + }, + { + "epoch": 11.51, + "learning_rate": 3.3324650685949574e-05, + "loss": 1.5757, + "step": 1206 + }, + { + "epoch": 11.52, + "learning_rate": 3.3313034137544406e-05, + "loss": 1.5452, + "step": 1207 + }, + { + "epoch": 11.53, + "learning_rate": 3.330140951883902e-05, + "loss": 1.4812, + "step": 1208 + }, + { + "epoch": 11.54, + "learning_rate": 3.32897768368802e-05, + "loss": 1.3136, + "step": 1209 + }, + { + "epoch": 11.55, + "learning_rate": 3.327813609871964e-05, + "loss": 1.7066, + "step": 1210 + }, + { + "epoch": 11.56, + "learning_rate": 3.326648731141388e-05, + "loss": 1.4514, + "step": 1211 + }, + { + "epoch": 11.57, + "learning_rate": 3.325483048202439e-05, + "loss": 1.415, + "step": 1212 + }, + { + "epoch": 11.58, + "learning_rate": 3.324316561761745e-05, + "loss": 1.6863, + "step": 1213 + }, + { + "epoch": 11.59, + "learning_rate": 3.3231492725264284e-05, + "loss": 2.1379, + "step": 1214 + }, + { + "epoch": 11.6, + "learning_rate": 3.321981181204092e-05, + "loss": 1.4011, + "step": 1215 + }, + { + "epoch": 11.61, + "learning_rate": 3.320812288502829e-05, + "loss": 1.6989, + "step": 1216 + }, + { + "epoch": 11.62, + "learning_rate": 3.319642595131216e-05, + "loss": 1.539, + "step": 1217 + }, + { + "epoch": 11.63, + "learning_rate": 3.3184721017983145e-05, + "loss": 1.1753, + "step": 1218 + }, + { + "epoch": 11.64, + "learning_rate": 3.317300809213675e-05, + "loss": 1.4356, + "step": 1219 + }, + { + "epoch": 11.65, + "learning_rate": 3.316128718087328e-05, + "loss": 1.7149, + "step": 1220 + }, + { + "epoch": 11.66, + "learning_rate": 3.31495582912979e-05, + "loss": 1.7525, + "step": 1221 + }, + { + "epoch": 11.67, + "learning_rate": 3.313782143052061e-05, + "loss": 1.4002, + "step": 1222 + }, + { + "epoch": 11.68, + "learning_rate": 3.312607660565625e-05, + "loss": 1.9818, + "step": 1223 + }, + { + "epoch": 11.68, + "learning_rate": 3.311432382382445e-05, + "loss": 1.5239, + "step": 1224 + }, + { + "epoch": 11.69, + "learning_rate": 3.310256309214973e-05, + "loss": 1.7048, + "step": 1225 + }, + { + "epoch": 11.7, + "learning_rate": 3.309079441776136e-05, + "loss": 1.917, + "step": 1226 + }, + { + "epoch": 11.71, + "learning_rate": 3.3079017807793475e-05, + "loss": 1.7472, + "step": 1227 + }, + { + "epoch": 11.72, + "learning_rate": 3.3067233269384996e-05, + "loss": 1.3352, + "step": 1228 + }, + { + "epoch": 11.73, + "learning_rate": 3.305544080967966e-05, + "loss": 1.6275, + "step": 1229 + }, + { + "epoch": 11.74, + "learning_rate": 3.3043640435825996e-05, + "loss": 1.6427, + "step": 1230 + }, + { + "epoch": 11.75, + "learning_rate": 3.3031832154977334e-05, + "loss": 1.5543, + "step": 1231 + }, + { + "epoch": 11.76, + "learning_rate": 3.3020015974291814e-05, + "loss": 1.1581, + "step": 1232 + }, + { + "epoch": 11.77, + "learning_rate": 3.300819190093233e-05, + "loss": 1.5952, + "step": 1233 + }, + { + "epoch": 11.78, + "learning_rate": 3.299635994206661e-05, + "loss": 1.2583, + "step": 1234 + }, + { + "epoch": 11.79, + "learning_rate": 3.298452010486711e-05, + "loss": 1.5792, + "step": 1235 + }, + { + "epoch": 11.8, + "learning_rate": 3.2972672396511085e-05, + "loss": 2.0085, + "step": 1236 + }, + { + "epoch": 11.81, + "learning_rate": 3.296081682418057e-05, + "loss": 1.4235, + "step": 1237 + }, + { + "epoch": 11.82, + "learning_rate": 3.294895339506235e-05, + "loss": 1.5856, + "step": 1238 + }, + { + "epoch": 11.83, + "learning_rate": 3.2937082116348e-05, + "loss": 1.4722, + "step": 1239 + }, + { + "epoch": 11.84, + "learning_rate": 3.292520299523381e-05, + "loss": 1.9405, + "step": 1240 + }, + { + "epoch": 11.85, + "learning_rate": 3.2913316038920865e-05, + "loss": 1.0868, + "step": 1241 + }, + { + "epoch": 11.86, + "learning_rate": 3.290142125461498e-05, + "loss": 1.363, + "step": 1242 + }, + { + "epoch": 11.87, + "learning_rate": 3.288951864952672e-05, + "loss": 1.5512, + "step": 1243 + }, + { + "epoch": 11.88, + "learning_rate": 3.287760823087138e-05, + "loss": 1.5917, + "step": 1244 + }, + { + "epoch": 11.89, + "learning_rate": 3.2865690005869015e-05, + "loss": 1.3541, + "step": 1245 + }, + { + "epoch": 11.89, + "learning_rate": 3.285376398174439e-05, + "loss": 1.7731, + "step": 1246 + }, + { + "epoch": 11.9, + "learning_rate": 3.284183016572701e-05, + "loss": 1.3836, + "step": 1247 + }, + { + "epoch": 11.91, + "learning_rate": 3.282988856505109e-05, + "loss": 1.7346, + "step": 1248 + }, + { + "epoch": 11.92, + "learning_rate": 3.2817939186955584e-05, + "loss": 1.4571, + "step": 1249 + }, + { + "epoch": 11.93, + "learning_rate": 3.2805982038684145e-05, + "loss": 1.2979, + "step": 1250 + }, + { + "epoch": 11.94, + "learning_rate": 3.2794017127485145e-05, + "loss": 1.382, + "step": 1251 + }, + { + "epoch": 11.95, + "learning_rate": 3.2782044460611664e-05, + "loss": 1.4615, + "step": 1252 + }, + { + "epoch": 11.96, + "learning_rate": 3.277006404532147e-05, + "loss": 1.875, + "step": 1253 + }, + { + "epoch": 11.97, + "learning_rate": 3.275807588887703e-05, + "loss": 1.6321, + "step": 1254 + }, + { + "epoch": 11.98, + "learning_rate": 3.274607999854551e-05, + "loss": 1.2425, + "step": 1255 + }, + { + "epoch": 11.99, + "learning_rate": 3.273407638159878e-05, + "loss": 1.3315, + "step": 1256 + }, + { + "epoch": 12.0, + "learning_rate": 3.2722065045313356e-05, + "loss": 1.4676, + "step": 1257 + }, + { + "epoch": 12.01, + "learning_rate": 3.271004599697047e-05, + "loss": 1.3775, + "step": 1258 + }, + { + "epoch": 12.02, + "learning_rate": 3.269801924385602e-05, + "loss": 1.1929, + "step": 1259 + }, + { + "epoch": 12.03, + "learning_rate": 3.268598479326055e-05, + "loss": 1.6113, + "step": 1260 + }, + { + "epoch": 12.04, + "learning_rate": 3.26739426524793e-05, + "loss": 1.6078, + "step": 1261 + }, + { + "epoch": 12.05, + "learning_rate": 3.2661892828812155e-05, + "loss": 1.6536, + "step": 1262 + }, + { + "epoch": 12.06, + "learning_rate": 3.264983532956366e-05, + "loss": 1.3076, + "step": 1263 + }, + { + "epoch": 12.07, + "learning_rate": 3.263777016204303e-05, + "loss": 1.8086, + "step": 1264 + }, + { + "epoch": 12.08, + "learning_rate": 3.26256973335641e-05, + "loss": 1.6858, + "step": 1265 + }, + { + "epoch": 12.09, + "learning_rate": 3.261361685144538e-05, + "loss": 1.435, + "step": 1266 + }, + { + "epoch": 12.1, + "learning_rate": 3.2601528723009976e-05, + "loss": 1.6076, + "step": 1267 + }, + { + "epoch": 12.11, + "learning_rate": 3.258943295558568e-05, + "loss": 1.7101, + "step": 1268 + }, + { + "epoch": 12.11, + "learning_rate": 3.257732955650488e-05, + "loss": 1.6817, + "step": 1269 + }, + { + "epoch": 12.12, + "learning_rate": 3.25652185331046e-05, + "loss": 1.7112, + "step": 1270 + }, + { + "epoch": 12.13, + "learning_rate": 3.2553099892726494e-05, + "loss": 1.3696, + "step": 1271 + }, + { + "epoch": 12.14, + "learning_rate": 3.254097364271682e-05, + "loss": 1.6321, + "step": 1272 + }, + { + "epoch": 12.15, + "learning_rate": 3.252883979042646e-05, + "loss": 1.6595, + "step": 1273 + }, + { + "epoch": 12.16, + "learning_rate": 3.25166983432109e-05, + "loss": 1.6624, + "step": 1274 + }, + { + "epoch": 12.17, + "learning_rate": 3.250454930843022e-05, + "loss": 1.3023, + "step": 1275 + }, + { + "epoch": 12.18, + "learning_rate": 3.249239269344912e-05, + "loss": 1.81, + "step": 1276 + }, + { + "epoch": 12.19, + "learning_rate": 3.248022850563688e-05, + "loss": 1.9634, + "step": 1277 + }, + { + "epoch": 12.2, + "learning_rate": 3.246805675236737e-05, + "loss": 1.5737, + "step": 1278 + }, + { + "epoch": 12.21, + "learning_rate": 3.245587744101905e-05, + "loss": 1.7754, + "step": 1279 + }, + { + "epoch": 12.22, + "learning_rate": 3.244369057897499e-05, + "loss": 1.484, + "step": 1280 + }, + { + "epoch": 12.23, + "learning_rate": 3.243149617362277e-05, + "loss": 1.3484, + "step": 1281 + }, + { + "epoch": 12.24, + "learning_rate": 3.241929423235461e-05, + "loss": 2.007, + "step": 1282 + }, + { + "epoch": 12.25, + "learning_rate": 3.240708476256725e-05, + "loss": 1.6539, + "step": 1283 + }, + { + "epoch": 12.26, + "learning_rate": 3.239486777166204e-05, + "loss": 1.7815, + "step": 1284 + }, + { + "epoch": 12.27, + "learning_rate": 3.2382643267044845e-05, + "loss": 1.5745, + "step": 1285 + }, + { + "epoch": 12.28, + "learning_rate": 3.23704112561261e-05, + "loss": 1.537, + "step": 1286 + }, + { + "epoch": 12.29, + "learning_rate": 3.2358171746320817e-05, + "loss": 1.6173, + "step": 1287 + }, + { + "epoch": 12.3, + "learning_rate": 3.234592474504851e-05, + "loss": 1.5762, + "step": 1288 + }, + { + "epoch": 12.31, + "learning_rate": 3.233367025973326e-05, + "loss": 1.5684, + "step": 1289 + }, + { + "epoch": 12.32, + "learning_rate": 3.232140829780367e-05, + "loss": 1.7439, + "step": 1290 + }, + { + "epoch": 12.32, + "learning_rate": 3.230913886669292e-05, + "loss": 1.6642, + "step": 1291 + }, + { + "epoch": 12.33, + "learning_rate": 3.2296861973838644e-05, + "loss": 1.4548, + "step": 1292 + }, + { + "epoch": 12.34, + "learning_rate": 3.2284577626683055e-05, + "loss": 1.4642, + "step": 1293 + }, + { + "epoch": 12.35, + "learning_rate": 3.227228583267287e-05, + "loss": 1.5412, + "step": 1294 + }, + { + "epoch": 12.36, + "learning_rate": 3.2259986599259304e-05, + "loss": 1.597, + "step": 1295 + }, + { + "epoch": 12.37, + "learning_rate": 3.2247679933898116e-05, + "loss": 1.4669, + "step": 1296 + }, + { + "epoch": 12.38, + "learning_rate": 3.223536584404954e-05, + "loss": 1.6995, + "step": 1297 + }, + { + "epoch": 12.39, + "learning_rate": 3.222304433717832e-05, + "loss": 1.4416, + "step": 1298 + }, + { + "epoch": 12.4, + "learning_rate": 3.221071542075369e-05, + "loss": 1.4211, + "step": 1299 + }, + { + "epoch": 12.41, + "learning_rate": 3.21983791022494e-05, + "loss": 1.8437, + "step": 1300 + }, + { + "epoch": 12.42, + "learning_rate": 3.2186035389143655e-05, + "loss": 1.3254, + "step": 1301 + }, + { + "epoch": 12.43, + "learning_rate": 3.217368428891917e-05, + "loss": 1.8026, + "step": 1302 + }, + { + "epoch": 12.44, + "learning_rate": 3.216132580906311e-05, + "loss": 1.2876, + "step": 1303 + }, + { + "epoch": 12.45, + "learning_rate": 3.214895995706713e-05, + "loss": 1.504, + "step": 1304 + }, + { + "epoch": 12.46, + "learning_rate": 3.2136586740427374e-05, + "loss": 1.659, + "step": 1305 + }, + { + "epoch": 12.47, + "learning_rate": 3.2124206166644404e-05, + "loss": 1.7804, + "step": 1306 + }, + { + "epoch": 12.48, + "learning_rate": 3.211181824322328e-05, + "loss": 1.74, + "step": 1307 + }, + { + "epoch": 12.49, + "learning_rate": 3.20994229776735e-05, + "loss": 1.5494, + "step": 1308 + }, + { + "epoch": 12.5, + "learning_rate": 3.2087020377509026e-05, + "loss": 1.5153, + "step": 1309 + }, + { + "epoch": 12.51, + "learning_rate": 3.2074610450248244e-05, + "loss": 1.7559, + "step": 1310 + }, + { + "epoch": 12.52, + "learning_rate": 3.2062193203414e-05, + "loss": 1.5696, + "step": 1311 + }, + { + "epoch": 12.53, + "learning_rate": 3.204976864453357e-05, + "loss": 1.9034, + "step": 1312 + }, + { + "epoch": 12.53, + "learning_rate": 3.2037336781138674e-05, + "loss": 1.3515, + "step": 1313 + }, + { + "epoch": 12.54, + "learning_rate": 3.202489762076545e-05, + "loss": 1.6844, + "step": 1314 + }, + { + "epoch": 12.55, + "learning_rate": 3.201245117095445e-05, + "loss": 1.958, + "step": 1315 + }, + { + "epoch": 12.56, + "learning_rate": 3.199999743925065e-05, + "loss": 1.5395, + "step": 1316 + }, + { + "epoch": 12.57, + "learning_rate": 3.1987536433203464e-05, + "loss": 1.3324, + "step": 1317 + }, + { + "epoch": 12.58, + "learning_rate": 3.1975068160366685e-05, + "loss": 1.5122, + "step": 1318 + }, + { + "epoch": 12.59, + "learning_rate": 3.1962592628298516e-05, + "loss": 2.0091, + "step": 1319 + }, + { + "epoch": 12.6, + "learning_rate": 3.1950109844561585e-05, + "loss": 1.7584, + "step": 1320 + }, + { + "epoch": 12.61, + "learning_rate": 3.193761981672289e-05, + "loss": 1.6667, + "step": 1321 + }, + { + "epoch": 12.62, + "learning_rate": 3.192512255235382e-05, + "loss": 1.4212, + "step": 1322 + }, + { + "epoch": 12.63, + "learning_rate": 3.191261805903017e-05, + "loss": 1.4692, + "step": 1323 + }, + { + "epoch": 12.64, + "learning_rate": 3.190010634433211e-05, + "loss": 1.4009, + "step": 1324 + }, + { + "epoch": 12.65, + "learning_rate": 3.188758741584417e-05, + "loss": 1.8117, + "step": 1325 + }, + { + "epoch": 12.66, + "learning_rate": 3.1875061281155276e-05, + "loss": 1.5054, + "step": 1326 + }, + { + "epoch": 12.67, + "learning_rate": 3.186252794785872e-05, + "loss": 1.2286, + "step": 1327 + }, + { + "epoch": 12.68, + "learning_rate": 3.1849987423552137e-05, + "loss": 2.042, + "step": 1328 + }, + { + "epoch": 12.69, + "learning_rate": 3.183743971583754e-05, + "loss": 1.6218, + "step": 1329 + }, + { + "epoch": 12.7, + "learning_rate": 3.182488483232129e-05, + "loss": 1.8436, + "step": 1330 + }, + { + "epoch": 12.71, + "learning_rate": 3.1812322780614106e-05, + "loss": 1.4028, + "step": 1331 + }, + { + "epoch": 12.72, + "learning_rate": 3.1799753568331045e-05, + "loss": 1.7877, + "step": 1332 + }, + { + "epoch": 12.73, + "learning_rate": 3.17871772030915e-05, + "loss": 1.2856, + "step": 1333 + }, + { + "epoch": 12.74, + "learning_rate": 3.1774593692519216e-05, + "loss": 1.5434, + "step": 1334 + }, + { + "epoch": 12.74, + "learning_rate": 3.176200304424225e-05, + "loss": 1.7546, + "step": 1335 + }, + { + "epoch": 12.75, + "learning_rate": 3.1749405265893e-05, + "loss": 1.7297, + "step": 1336 + }, + { + "epoch": 12.76, + "learning_rate": 3.1736800365108176e-05, + "loss": 1.6379, + "step": 1337 + }, + { + "epoch": 12.77, + "learning_rate": 3.1724188349528814e-05, + "loss": 1.4836, + "step": 1338 + }, + { + "epoch": 12.78, + "learning_rate": 3.1711569226800266e-05, + "loss": 1.1437, + "step": 1339 + }, + { + "epoch": 12.79, + "learning_rate": 3.1698943004572175e-05, + "loss": 2.0096, + "step": 1340 + }, + { + "epoch": 12.8, + "learning_rate": 3.1686309690498514e-05, + "loss": 1.7865, + "step": 1341 + }, + { + "epoch": 12.81, + "learning_rate": 3.167366929223753e-05, + "loss": 1.2965, + "step": 1342 + }, + { + "epoch": 12.82, + "learning_rate": 3.1661021817451776e-05, + "loss": 1.5635, + "step": 1343 + }, + { + "epoch": 12.83, + "learning_rate": 3.1648367273808086e-05, + "loss": 1.3598, + "step": 1344 + }, + { + "epoch": 12.84, + "learning_rate": 3.1635705668977595e-05, + "loss": 1.3299, + "step": 1345 + }, + { + "epoch": 12.85, + "learning_rate": 3.162303701063571e-05, + "loss": 1.4486, + "step": 1346 + }, + { + "epoch": 12.86, + "learning_rate": 3.161036130646211e-05, + "loss": 1.6958, + "step": 1347 + }, + { + "epoch": 12.87, + "learning_rate": 3.159767856414075e-05, + "loss": 1.774, + "step": 1348 + }, + { + "epoch": 12.88, + "learning_rate": 3.1584988791359854e-05, + "loss": 1.6047, + "step": 1349 + }, + { + "epoch": 12.89, + "learning_rate": 3.1572291995811904e-05, + "loss": 1.6756, + "step": 1350 + }, + { + "epoch": 12.9, + "learning_rate": 3.1559588185193626e-05, + "loss": 1.6864, + "step": 1351 + }, + { + "epoch": 12.91, + "learning_rate": 3.1546877367206026e-05, + "loss": 1.6398, + "step": 1352 + }, + { + "epoch": 12.92, + "learning_rate": 3.153415954955434e-05, + "loss": 1.5645, + "step": 1353 + }, + { + "epoch": 12.93, + "learning_rate": 3.152143473994805e-05, + "loss": 1.5724, + "step": 1354 + }, + { + "epoch": 12.94, + "learning_rate": 3.150870294610087e-05, + "loss": 1.9654, + "step": 1355 + }, + { + "epoch": 12.95, + "learning_rate": 3.149596417573077e-05, + "loss": 1.5469, + "step": 1356 + }, + { + "epoch": 12.95, + "learning_rate": 3.148321843655993e-05, + "loss": 1.4224, + "step": 1357 + }, + { + "epoch": 12.96, + "learning_rate": 3.1470465736314744e-05, + "loss": 1.4377, + "step": 1358 + }, + { + "epoch": 12.97, + "learning_rate": 3.145770608272585e-05, + "loss": 1.6567, + "step": 1359 + }, + { + "epoch": 12.98, + "learning_rate": 3.1444939483528095e-05, + "loss": 1.6397, + "step": 1360 + }, + { + "epoch": 12.99, + "learning_rate": 3.143216594646054e-05, + "loss": 1.8574, + "step": 1361 + }, + { + "epoch": 13.0, + "learning_rate": 3.1419385479266426e-05, + "loss": 1.2775, + "step": 1362 + }, + { + "epoch": 13.01, + "learning_rate": 3.1406598089693226e-05, + "loss": 1.478, + "step": 1363 + }, + { + "epoch": 13.02, + "learning_rate": 3.139380378549259e-05, + "loss": 1.9004, + "step": 1364 + }, + { + "epoch": 13.03, + "learning_rate": 3.1381002574420376e-05, + "loss": 1.4939, + "step": 1365 + }, + { + "epoch": 13.04, + "learning_rate": 3.13681944642366e-05, + "loss": 1.5028, + "step": 1366 + }, + { + "epoch": 13.05, + "learning_rate": 3.135537946270551e-05, + "loss": 1.4229, + "step": 1367 + }, + { + "epoch": 13.06, + "learning_rate": 3.1342557577595476e-05, + "loss": 1.7939, + "step": 1368 + }, + { + "epoch": 13.07, + "learning_rate": 3.132972881667908e-05, + "loss": 1.8203, + "step": 1369 + }, + { + "epoch": 13.08, + "learning_rate": 3.1316893187733034e-05, + "loss": 1.6721, + "step": 1370 + }, + { + "epoch": 13.09, + "learning_rate": 3.1304050698538274e-05, + "loss": 1.3967, + "step": 1371 + }, + { + "epoch": 13.1, + "learning_rate": 3.1291201356879835e-05, + "loss": 1.1579, + "step": 1372 + }, + { + "epoch": 13.11, + "learning_rate": 3.127834517054693e-05, + "loss": 1.5373, + "step": 1373 + }, + { + "epoch": 13.12, + "learning_rate": 3.126548214733292e-05, + "loss": 1.6112, + "step": 1374 + }, + { + "epoch": 13.13, + "learning_rate": 3.125261229503533e-05, + "loss": 1.6061, + "step": 1375 + }, + { + "epoch": 13.14, + "learning_rate": 3.1239735621455775e-05, + "loss": 1.6267, + "step": 1376 + }, + { + "epoch": 13.15, + "learning_rate": 3.122685213440006e-05, + "loss": 1.7706, + "step": 1377 + }, + { + "epoch": 13.16, + "learning_rate": 3.1213961841678076e-05, + "loss": 1.4984, + "step": 1378 + }, + { + "epoch": 13.16, + "learning_rate": 3.1201064751103874e-05, + "loss": 1.6107, + "step": 1379 + }, + { + "epoch": 13.17, + "learning_rate": 3.11881608704956e-05, + "loss": 1.6984, + "step": 1380 + }, + { + "epoch": 13.18, + "learning_rate": 3.1175250207675554e-05, + "loss": 1.6016, + "step": 1381 + }, + { + "epoch": 13.19, + "learning_rate": 3.116233277047008e-05, + "loss": 1.5628, + "step": 1382 + }, + { + "epoch": 13.2, + "learning_rate": 3.1149408566709696e-05, + "loss": 1.4395, + "step": 1383 + }, + { + "epoch": 13.21, + "learning_rate": 3.113647760422899e-05, + "loss": 1.3389, + "step": 1384 + }, + { + "epoch": 13.22, + "learning_rate": 3.112353989086665e-05, + "loss": 1.1154, + "step": 1385 + }, + { + "epoch": 13.23, + "learning_rate": 3.111059543446545e-05, + "loss": 1.9553, + "step": 1386 + }, + { + "epoch": 13.24, + "learning_rate": 3.1097644242872283e-05, + "loss": 1.7059, + "step": 1387 + }, + { + "epoch": 13.25, + "learning_rate": 3.108468632393808e-05, + "loss": 1.5588, + "step": 1388 + }, + { + "epoch": 13.26, + "learning_rate": 3.107172168551788e-05, + "loss": 1.7193, + "step": 1389 + }, + { + "epoch": 13.27, + "learning_rate": 3.105875033547079e-05, + "loss": 1.644, + "step": 1390 + }, + { + "epoch": 13.28, + "learning_rate": 3.104577228165998e-05, + "loss": 1.3253, + "step": 1391 + }, + { + "epoch": 13.29, + "learning_rate": 3.103278753195269e-05, + "loss": 1.3949, + "step": 1392 + }, + { + "epoch": 13.3, + "learning_rate": 3.1019796094220204e-05, + "loss": 1.7633, + "step": 1393 + }, + { + "epoch": 13.31, + "learning_rate": 3.100679797633789e-05, + "loss": 1.621, + "step": 1394 + }, + { + "epoch": 13.32, + "learning_rate": 3.099379318618514e-05, + "loss": 2.134, + "step": 1395 + }, + { + "epoch": 13.33, + "learning_rate": 3.0980781731645384e-05, + "loss": 1.884, + "step": 1396 + }, + { + "epoch": 13.34, + "learning_rate": 3.096776362060612e-05, + "loss": 1.87, + "step": 1397 + }, + { + "epoch": 13.35, + "learning_rate": 3.0954738860958875e-05, + "loss": 1.2849, + "step": 1398 + }, + { + "epoch": 13.36, + "learning_rate": 3.0941707460599184e-05, + "loss": 1.5124, + "step": 1399 + }, + { + "epoch": 13.37, + "learning_rate": 3.0928669427426624e-05, + "loss": 1.7865, + "step": 1400 + }, + { + "epoch": 13.37, + "learning_rate": 3.091562476934479e-05, + "loss": 1.5238, + "step": 1401 + }, + { + "epoch": 13.38, + "learning_rate": 3.090257349426131e-05, + "loss": 1.5729, + "step": 1402 + }, + { + "epoch": 13.39, + "learning_rate": 3.088951561008779e-05, + "loss": 1.6424, + "step": 1403 + }, + { + "epoch": 13.4, + "learning_rate": 3.0876451124739866e-05, + "loss": 1.4362, + "step": 1404 + }, + { + "epoch": 13.41, + "learning_rate": 3.0863380046137165e-05, + "loss": 1.2421, + "step": 1405 + }, + { + "epoch": 13.42, + "learning_rate": 3.085030238220331e-05, + "loss": 1.864, + "step": 1406 + }, + { + "epoch": 13.43, + "learning_rate": 3.083721814086594e-05, + "loss": 1.4467, + "step": 1407 + }, + { + "epoch": 13.44, + "learning_rate": 3.082412733005665e-05, + "loss": 1.203, + "step": 1408 + }, + { + "epoch": 13.45, + "learning_rate": 3.081102995771103e-05, + "loss": 1.9387, + "step": 1409 + }, + { + "epoch": 13.46, + "learning_rate": 3.079792603176864e-05, + "loss": 1.5678, + "step": 1410 + }, + { + "epoch": 13.47, + "learning_rate": 3.078481556017303e-05, + "loss": 1.4177, + "step": 1411 + }, + { + "epoch": 13.48, + "learning_rate": 3.0771698550871696e-05, + "loss": 1.5995, + "step": 1412 + }, + { + "epoch": 13.49, + "learning_rate": 3.075857501181613e-05, + "loss": 1.6175, + "step": 1413 + }, + { + "epoch": 13.5, + "learning_rate": 3.074544495096175e-05, + "loss": 1.4647, + "step": 1414 + }, + { + "epoch": 13.51, + "learning_rate": 3.0732308376267925e-05, + "loss": 1.3895, + "step": 1415 + }, + { + "epoch": 13.52, + "learning_rate": 3.0719165295698e-05, + "loss": 1.5165, + "step": 1416 + }, + { + "epoch": 13.53, + "learning_rate": 3.070601571721925e-05, + "loss": 1.6894, + "step": 1417 + }, + { + "epoch": 13.54, + "learning_rate": 3.06928596488029e-05, + "loss": 1.5155, + "step": 1418 + }, + { + "epoch": 13.55, + "learning_rate": 3.067969709842407e-05, + "loss": 1.2376, + "step": 1419 + }, + { + "epoch": 13.56, + "learning_rate": 3.066652807406186e-05, + "loss": 1.4224, + "step": 1420 + }, + { + "epoch": 13.57, + "learning_rate": 3.065335258369926e-05, + "loss": 1.1845, + "step": 1421 + }, + { + "epoch": 13.58, + "learning_rate": 3.0640170635323205e-05, + "loss": 1.4512, + "step": 1422 + }, + { + "epoch": 13.58, + "learning_rate": 3.062698223692453e-05, + "loss": 1.5051, + "step": 1423 + }, + { + "epoch": 13.59, + "learning_rate": 3.0613787396497965e-05, + "loss": 1.4584, + "step": 1424 + }, + { + "epoch": 13.6, + "learning_rate": 3.060058612204217e-05, + "loss": 1.3538, + "step": 1425 + }, + { + "epoch": 13.61, + "learning_rate": 3.05873784215597e-05, + "loss": 1.5007, + "step": 1426 + }, + { + "epoch": 13.62, + "learning_rate": 3.057416430305701e-05, + "loss": 1.8022, + "step": 1427 + }, + { + "epoch": 13.63, + "learning_rate": 3.056094377454443e-05, + "loss": 1.7035, + "step": 1428 + }, + { + "epoch": 13.64, + "learning_rate": 3.054771684403618e-05, + "loss": 1.9023, + "step": 1429 + }, + { + "epoch": 13.65, + "learning_rate": 3.053448351955036e-05, + "loss": 1.6449, + "step": 1430 + }, + { + "epoch": 13.66, + "learning_rate": 3.052124380910897e-05, + "loss": 1.3993, + "step": 1431 + }, + { + "epoch": 13.67, + "learning_rate": 3.0507997720737853e-05, + "loss": 1.4631, + "step": 1432 + }, + { + "epoch": 13.68, + "learning_rate": 3.049474526246672e-05, + "loss": 1.3959, + "step": 1433 + }, + { + "epoch": 13.69, + "learning_rate": 3.0481486442329154e-05, + "loss": 1.6238, + "step": 1434 + }, + { + "epoch": 13.7, + "learning_rate": 3.0468221268362587e-05, + "loss": 1.786, + "step": 1435 + }, + { + "epoch": 13.71, + "learning_rate": 3.0454949748608325e-05, + "loss": 2.2241, + "step": 1436 + }, + { + "epoch": 13.72, + "learning_rate": 3.0441671891111482e-05, + "loss": 2.0098, + "step": 1437 + }, + { + "epoch": 13.73, + "learning_rate": 3.0428387703921038e-05, + "loss": 1.4205, + "step": 1438 + }, + { + "epoch": 13.74, + "learning_rate": 3.0415097195089812e-05, + "loss": 1.5555, + "step": 1439 + }, + { + "epoch": 13.75, + "learning_rate": 3.0401800372674447e-05, + "loss": 1.468, + "step": 1440 + }, + { + "epoch": 13.76, + "learning_rate": 3.038849724473542e-05, + "loss": 1.5615, + "step": 1441 + }, + { + "epoch": 13.77, + "learning_rate": 3.0375187819337014e-05, + "loss": 1.6855, + "step": 1442 + }, + { + "epoch": 13.78, + "learning_rate": 3.0361872104547357e-05, + "loss": 1.6033, + "step": 1443 + }, + { + "epoch": 13.79, + "learning_rate": 3.0348550108438367e-05, + "loss": 1.9218, + "step": 1444 + }, + { + "epoch": 13.79, + "learning_rate": 3.033522183908577e-05, + "loss": 1.4431, + "step": 1445 + }, + { + "epoch": 13.8, + "learning_rate": 3.032188730456911e-05, + "loss": 1.4761, + "step": 1446 + }, + { + "epoch": 13.81, + "learning_rate": 3.030854651297172e-05, + "loss": 1.7098, + "step": 1447 + }, + { + "epoch": 13.82, + "learning_rate": 3.029519947238073e-05, + "loss": 1.5268, + "step": 1448 + }, + { + "epoch": 13.83, + "learning_rate": 3.0281846190887045e-05, + "loss": 1.5359, + "step": 1449 + }, + { + "epoch": 13.84, + "learning_rate": 3.0268486676585373e-05, + "loss": 1.5894, + "step": 1450 + }, + { + "epoch": 13.85, + "learning_rate": 3.0255120937574182e-05, + "loss": 1.7717, + "step": 1451 + }, + { + "epoch": 13.86, + "learning_rate": 3.0241748981955728e-05, + "loss": 1.7207, + "step": 1452 + }, + { + "epoch": 13.87, + "learning_rate": 3.022837081783603e-05, + "loss": 1.5801, + "step": 1453 + }, + { + "epoch": 13.88, + "learning_rate": 3.021498645332486e-05, + "loss": 1.7173, + "step": 1454 + }, + { + "epoch": 13.89, + "learning_rate": 3.0201595896535764e-05, + "loss": 1.7181, + "step": 1455 + }, + { + "epoch": 13.9, + "learning_rate": 3.0188199155586048e-05, + "loss": 1.9829, + "step": 1456 + }, + { + "epoch": 13.91, + "learning_rate": 3.0174796238596733e-05, + "loss": 1.6401, + "step": 1457 + }, + { + "epoch": 13.92, + "learning_rate": 3.0161387153692617e-05, + "loss": 1.5101, + "step": 1458 + }, + { + "epoch": 13.93, + "learning_rate": 3.0147971909002227e-05, + "loss": 1.5102, + "step": 1459 + }, + { + "epoch": 13.94, + "learning_rate": 3.0134550512657826e-05, + "loss": 1.4212, + "step": 1460 + }, + { + "epoch": 13.95, + "learning_rate": 3.012112297279539e-05, + "loss": 1.3702, + "step": 1461 + }, + { + "epoch": 13.96, + "learning_rate": 3.0107689297554644e-05, + "loss": 1.4332, + "step": 1462 + }, + { + "epoch": 13.97, + "learning_rate": 3.009424949507902e-05, + "loss": 1.5063, + "step": 1463 + }, + { + "epoch": 13.98, + "learning_rate": 3.008080357351565e-05, + "loss": 1.3647, + "step": 1464 + }, + { + "epoch": 13.99, + "learning_rate": 3.006735154101541e-05, + "loss": 1.5842, + "step": 1465 + }, + { + "epoch": 14.0, + "learning_rate": 3.005389340573285e-05, + "loss": 2.0368, + "step": 1466 + }, + { + "epoch": 14.0, + "learning_rate": 3.0040429175826226e-05, + "loss": 1.6111, + "step": 1467 + }, + { + "epoch": 14.01, + "learning_rate": 3.0026958859457505e-05, + "loss": 1.421, + "step": 1468 + }, + { + "epoch": 14.02, + "learning_rate": 3.0013482464792322e-05, + "loss": 2.0083, + "step": 1469 + }, + { + "epoch": 14.03, + "learning_rate": 3.0000000000000004e-05, + "loss": 1.4851, + "step": 1470 + }, + { + "epoch": 14.04, + "learning_rate": 2.9986511473253562e-05, + "loss": 1.5824, + "step": 1471 + }, + { + "epoch": 14.05, + "learning_rate": 2.997301689272968e-05, + "loss": 1.358, + "step": 1472 + }, + { + "epoch": 14.06, + "learning_rate": 2.9959516266608713e-05, + "loss": 1.4498, + "step": 1473 + }, + { + "epoch": 14.07, + "learning_rate": 2.9946009603074674e-05, + "loss": 1.4716, + "step": 1474 + }, + { + "epoch": 14.08, + "learning_rate": 2.9932496910315244e-05, + "loss": 1.5452, + "step": 1475 + }, + { + "epoch": 14.09, + "learning_rate": 2.9918978196521756e-05, + "loss": 1.3342, + "step": 1476 + }, + { + "epoch": 14.1, + "learning_rate": 2.9905453469889185e-05, + "loss": 1.6131, + "step": 1477 + }, + { + "epoch": 14.11, + "learning_rate": 2.9891922738616163e-05, + "loss": 1.8837, + "step": 1478 + }, + { + "epoch": 14.12, + "learning_rate": 2.987838601090496e-05, + "loss": 1.4536, + "step": 1479 + }, + { + "epoch": 14.13, + "learning_rate": 2.9864843294961474e-05, + "loss": 1.5848, + "step": 1480 + }, + { + "epoch": 14.14, + "learning_rate": 2.9851294598995236e-05, + "loss": 1.4877, + "step": 1481 + }, + { + "epoch": 14.15, + "learning_rate": 2.983773993121941e-05, + "loss": 1.689, + "step": 1482 + }, + { + "epoch": 14.16, + "learning_rate": 2.9824179299850775e-05, + "loss": 1.5468, + "step": 1483 + }, + { + "epoch": 14.17, + "learning_rate": 2.981061271310971e-05, + "loss": 1.9664, + "step": 1484 + }, + { + "epoch": 14.18, + "learning_rate": 2.979704017922023e-05, + "loss": 1.4939, + "step": 1485 + }, + { + "epoch": 14.19, + "learning_rate": 2.9783461706409937e-05, + "loss": 1.8347, + "step": 1486 + }, + { + "epoch": 14.2, + "learning_rate": 2.9769877302910046e-05, + "loss": 1.7088, + "step": 1487 + }, + { + "epoch": 14.21, + "learning_rate": 2.975628697695535e-05, + "loss": 1.4696, + "step": 1488 + }, + { + "epoch": 14.21, + "learning_rate": 2.9742690736784245e-05, + "loss": 1.248, + "step": 1489 + }, + { + "epoch": 14.22, + "learning_rate": 2.9729088590638714e-05, + "loss": 1.3557, + "step": 1490 + }, + { + "epoch": 14.23, + "learning_rate": 2.971548054676432e-05, + "loss": 1.4838, + "step": 1491 + }, + { + "epoch": 14.24, + "learning_rate": 2.9701866613410176e-05, + "loss": 1.3048, + "step": 1492 + }, + { + "epoch": 14.25, + "learning_rate": 2.968824679882901e-05, + "loss": 1.5502, + "step": 1493 + }, + { + "epoch": 14.26, + "learning_rate": 2.9674621111277076e-05, + "loss": 1.7122, + "step": 1494 + }, + { + "epoch": 14.27, + "learning_rate": 2.9660989559014206e-05, + "loss": 1.4379, + "step": 1495 + }, + { + "epoch": 14.28, + "learning_rate": 2.9647352150303793e-05, + "loss": 1.6113, + "step": 1496 + }, + { + "epoch": 14.29, + "learning_rate": 2.9633708893412764e-05, + "loss": 1.4616, + "step": 1497 + }, + { + "epoch": 14.3, + "learning_rate": 2.9620059796611592e-05, + "loss": 1.7133, + "step": 1498 + }, + { + "epoch": 14.31, + "learning_rate": 2.9606404868174313e-05, + "loss": 1.7687, + "step": 1499 + }, + { + "epoch": 14.32, + "learning_rate": 2.959274411637847e-05, + "loss": 1.6719, + "step": 1500 + }, + { + "epoch": 14.33, + "learning_rate": 2.9579077549505154e-05, + "loss": 1.5018, + "step": 1501 + }, + { + "epoch": 14.34, + "learning_rate": 2.9565405175838968e-05, + "loss": 1.8755, + "step": 1502 + }, + { + "epoch": 14.35, + "learning_rate": 2.9551727003668053e-05, + "loss": 1.4655, + "step": 1503 + }, + { + "epoch": 14.36, + "learning_rate": 2.9538043041284042e-05, + "loss": 1.3982, + "step": 1504 + }, + { + "epoch": 14.37, + "learning_rate": 2.9524353296982104e-05, + "loss": 1.6578, + "step": 1505 + }, + { + "epoch": 14.38, + "learning_rate": 2.9510657779060885e-05, + "loss": 1.5044, + "step": 1506 + }, + { + "epoch": 14.39, + "learning_rate": 2.9496956495822555e-05, + "loss": 1.9118, + "step": 1507 + }, + { + "epoch": 14.4, + "learning_rate": 2.9483249455572767e-05, + "loss": 1.4875, + "step": 1508 + }, + { + "epoch": 14.41, + "learning_rate": 2.946953666662066e-05, + "loss": 1.4675, + "step": 1509 + }, + { + "epoch": 14.42, + "learning_rate": 2.9455818137278876e-05, + "loss": 1.5288, + "step": 1510 + }, + { + "epoch": 14.42, + "learning_rate": 2.9442093875863514e-05, + "loss": 1.3117, + "step": 1511 + }, + { + "epoch": 14.43, + "learning_rate": 2.9428363890694158e-05, + "loss": 1.3702, + "step": 1512 + }, + { + "epoch": 14.44, + "learning_rate": 2.9414628190093873e-05, + "loss": 1.7517, + "step": 1513 + }, + { + "epoch": 14.45, + "learning_rate": 2.940088678238916e-05, + "loss": 1.5704, + "step": 1514 + }, + { + "epoch": 14.46, + "learning_rate": 2.9387139675910014e-05, + "loss": 1.8321, + "step": 1515 + }, + { + "epoch": 14.47, + "learning_rate": 2.937338687898986e-05, + "loss": 1.8364, + "step": 1516 + }, + { + "epoch": 14.48, + "learning_rate": 2.9359628399965586e-05, + "loss": 1.7139, + "step": 1517 + }, + { + "epoch": 14.49, + "learning_rate": 2.934586424717751e-05, + "loss": 1.4631, + "step": 1518 + }, + { + "epoch": 14.5, + "learning_rate": 2.93320944289694e-05, + "loss": 1.6186, + "step": 1519 + }, + { + "epoch": 14.51, + "learning_rate": 2.9318318953688462e-05, + "loss": 1.3705, + "step": 1520 + }, + { + "epoch": 14.52, + "learning_rate": 2.9304537829685324e-05, + "loss": 1.3648, + "step": 1521 + }, + { + "epoch": 14.53, + "learning_rate": 2.9290751065314043e-05, + "loss": 1.9086, + "step": 1522 + }, + { + "epoch": 14.54, + "learning_rate": 2.9276958668932086e-05, + "loss": 1.4185, + "step": 1523 + }, + { + "epoch": 14.55, + "learning_rate": 2.9263160648900345e-05, + "loss": 1.7537, + "step": 1524 + }, + { + "epoch": 14.56, + "learning_rate": 2.9249357013583112e-05, + "loss": 1.6047, + "step": 1525 + }, + { + "epoch": 14.57, + "learning_rate": 2.9235547771348094e-05, + "loss": 1.4802, + "step": 1526 + }, + { + "epoch": 14.58, + "learning_rate": 2.9221732930566384e-05, + "loss": 1.588, + "step": 1527 + }, + { + "epoch": 14.59, + "learning_rate": 2.9207912499612475e-05, + "loss": 1.4808, + "step": 1528 + }, + { + "epoch": 14.6, + "learning_rate": 2.919408648686425e-05, + "loss": 1.854, + "step": 1529 + }, + { + "epoch": 14.61, + "learning_rate": 2.9180254900702984e-05, + "loss": 1.483, + "step": 1530 + }, + { + "epoch": 14.62, + "learning_rate": 2.9166417749513308e-05, + "loss": 1.3541, + "step": 1531 + }, + { + "epoch": 14.63, + "learning_rate": 2.915257504168324e-05, + "loss": 1.8394, + "step": 1532 + }, + { + "epoch": 14.63, + "learning_rate": 2.9138726785604174e-05, + "loss": 1.5394, + "step": 1533 + }, + { + "epoch": 14.64, + "learning_rate": 2.912487298967086e-05, + "loss": 1.4188, + "step": 1534 + }, + { + "epoch": 14.65, + "learning_rate": 2.9111013662281396e-05, + "loss": 1.4069, + "step": 1535 + }, + { + "epoch": 14.66, + "learning_rate": 2.909714881183725e-05, + "loss": 1.6838, + "step": 1536 + }, + { + "epoch": 14.67, + "learning_rate": 2.9083278446743235e-05, + "loss": 1.2903, + "step": 1537 + }, + { + "epoch": 14.68, + "learning_rate": 2.9069402575407488e-05, + "loss": 1.331, + "step": 1538 + }, + { + "epoch": 14.69, + "learning_rate": 2.9055521206241512e-05, + "loss": 1.7254, + "step": 1539 + }, + { + "epoch": 14.7, + "learning_rate": 2.9041634347660116e-05, + "loss": 1.8885, + "step": 1540 + }, + { + "epoch": 14.71, + "learning_rate": 2.902774200808146e-05, + "loss": 1.6041, + "step": 1541 + }, + { + "epoch": 14.72, + "learning_rate": 2.9013844195927022e-05, + "loss": 1.8924, + "step": 1542 + }, + { + "epoch": 14.73, + "learning_rate": 2.899994091962158e-05, + "loss": 1.6669, + "step": 1543 + }, + { + "epoch": 14.74, + "learning_rate": 2.8986032187593248e-05, + "loss": 1.7254, + "step": 1544 + }, + { + "epoch": 14.75, + "learning_rate": 2.897211800827342e-05, + "loss": 1.4119, + "step": 1545 + }, + { + "epoch": 14.76, + "learning_rate": 2.895819839009682e-05, + "loss": 1.5981, + "step": 1546 + }, + { + "epoch": 14.77, + "learning_rate": 2.8944273341501454e-05, + "loss": 1.8192, + "step": 1547 + }, + { + "epoch": 14.78, + "learning_rate": 2.893034287092862e-05, + "loss": 1.4659, + "step": 1548 + }, + { + "epoch": 14.79, + "learning_rate": 2.8916406986822904e-05, + "loss": 1.6989, + "step": 1549 + }, + { + "epoch": 14.8, + "learning_rate": 2.890246569763218e-05, + "loss": 1.8925, + "step": 1550 + }, + { + "epoch": 14.81, + "learning_rate": 2.8888519011807593e-05, + "loss": 1.5884, + "step": 1551 + }, + { + "epoch": 14.82, + "learning_rate": 2.887456693780356e-05, + "loss": 1.5611, + "step": 1552 + }, + { + "epoch": 14.83, + "learning_rate": 2.886060948407776e-05, + "loss": 1.5263, + "step": 1553 + }, + { + "epoch": 14.84, + "learning_rate": 2.8846646659091137e-05, + "loss": 1.8506, + "step": 1554 + }, + { + "epoch": 14.84, + "learning_rate": 2.8832678471307898e-05, + "loss": 1.7232, + "step": 1555 + }, + { + "epoch": 14.85, + "learning_rate": 2.8818704929195496e-05, + "loss": 1.4397, + "step": 1556 + }, + { + "epoch": 14.86, + "learning_rate": 2.880472604122462e-05, + "loss": 1.1249, + "step": 1557 + }, + { + "epoch": 14.87, + "learning_rate": 2.8790741815869207e-05, + "loss": 1.4744, + "step": 1558 + }, + { + "epoch": 14.88, + "learning_rate": 2.8776752261606435e-05, + "loss": 0.9482, + "step": 1559 + }, + { + "epoch": 14.89, + "learning_rate": 2.876275738691671e-05, + "loss": 1.7406, + "step": 1560 + }, + { + "epoch": 14.9, + "learning_rate": 2.8748757200283655e-05, + "loss": 1.6261, + "step": 1561 + }, + { + "epoch": 14.91, + "learning_rate": 2.8734751710194118e-05, + "loss": 1.5121, + "step": 1562 + }, + { + "epoch": 14.92, + "learning_rate": 2.8720740925138167e-05, + "loss": 1.5371, + "step": 1563 + }, + { + "epoch": 14.93, + "learning_rate": 2.870672485360908e-05, + "loss": 1.3179, + "step": 1564 + }, + { + "epoch": 14.94, + "learning_rate": 2.8692703504103326e-05, + "loss": 1.5304, + "step": 1565 + }, + { + "epoch": 14.95, + "learning_rate": 2.867867688512059e-05, + "loss": 1.5685, + "step": 1566 + }, + { + "epoch": 14.96, + "learning_rate": 2.866464500516374e-05, + "loss": 1.6405, + "step": 1567 + }, + { + "epoch": 14.97, + "learning_rate": 2.8650607872738834e-05, + "loss": 1.8781, + "step": 1568 + }, + { + "epoch": 14.98, + "learning_rate": 2.8636565496355128e-05, + "loss": 1.4278, + "step": 1569 + }, + { + "epoch": 14.99, + "learning_rate": 2.8622517884525033e-05, + "loss": 1.3788, + "step": 1570 + }, + { + "epoch": 15.0, + "learning_rate": 2.860846504576416e-05, + "loss": 1.6547, + "step": 1571 + }, + { + "epoch": 15.01, + "learning_rate": 2.8594406988591267e-05, + "loss": 1.3905, + "step": 1572 + }, + { + "epoch": 15.02, + "learning_rate": 2.8580343721528278e-05, + "loss": 1.6054, + "step": 1573 + }, + { + "epoch": 15.03, + "learning_rate": 2.85662752531003e-05, + "loss": 1.5766, + "step": 1574 + }, + { + "epoch": 15.04, + "learning_rate": 2.8552201591835554e-05, + "loss": 1.4084, + "step": 1575 + }, + { + "epoch": 15.05, + "learning_rate": 2.853812274626544e-05, + "loss": 1.1464, + "step": 1576 + }, + { + "epoch": 15.05, + "learning_rate": 2.852403872492449e-05, + "loss": 1.6842, + "step": 1577 + }, + { + "epoch": 15.06, + "learning_rate": 2.850994953635037e-05, + "loss": 1.7176, + "step": 1578 + }, + { + "epoch": 15.07, + "learning_rate": 2.849585518908388e-05, + "loss": 1.546, + "step": 1579 + }, + { + "epoch": 15.08, + "learning_rate": 2.8481755691668947e-05, + "loss": 1.8171, + "step": 1580 + }, + { + "epoch": 15.09, + "learning_rate": 2.846765105265263e-05, + "loss": 1.7656, + "step": 1581 + }, + { + "epoch": 15.1, + "learning_rate": 2.8453541280585088e-05, + "loss": 1.8665, + "step": 1582 + }, + { + "epoch": 15.11, + "learning_rate": 2.8439426384019607e-05, + "loss": 1.5238, + "step": 1583 + }, + { + "epoch": 15.12, + "learning_rate": 2.8425306371512567e-05, + "loss": 1.4563, + "step": 1584 + }, + { + "epoch": 15.13, + "learning_rate": 2.8411181251623458e-05, + "loss": 1.5494, + "step": 1585 + }, + { + "epoch": 15.14, + "learning_rate": 2.8397051032914862e-05, + "loss": 1.5237, + "step": 1586 + }, + { + "epoch": 15.15, + "learning_rate": 2.838291572395245e-05, + "loss": 1.6867, + "step": 1587 + }, + { + "epoch": 15.16, + "learning_rate": 2.8368775333304985e-05, + "loss": 1.9004, + "step": 1588 + }, + { + "epoch": 15.17, + "learning_rate": 2.8354629869544305e-05, + "loss": 1.4827, + "step": 1589 + }, + { + "epoch": 15.18, + "learning_rate": 2.8340479341245326e-05, + "loss": 1.4123, + "step": 1590 + }, + { + "epoch": 15.19, + "learning_rate": 2.8326323756986043e-05, + "loss": 1.3497, + "step": 1591 + }, + { + "epoch": 15.2, + "learning_rate": 2.8312163125347485e-05, + "loss": 1.2612, + "step": 1592 + }, + { + "epoch": 15.21, + "learning_rate": 2.8297997454913777e-05, + "loss": 1.6225, + "step": 1593 + }, + { + "epoch": 15.22, + "learning_rate": 2.8283826754272082e-05, + "loss": 1.5571, + "step": 1594 + }, + { + "epoch": 15.23, + "learning_rate": 2.8269651032012615e-05, + "loss": 1.4949, + "step": 1595 + }, + { + "epoch": 15.24, + "learning_rate": 2.8255470296728623e-05, + "loss": 1.4195, + "step": 1596 + }, + { + "epoch": 15.25, + "learning_rate": 2.824128455701641e-05, + "loss": 1.3615, + "step": 1597 + }, + { + "epoch": 15.26, + "learning_rate": 2.8227093821475317e-05, + "loss": 1.7301, + "step": 1598 + }, + { + "epoch": 15.26, + "learning_rate": 2.821289809870768e-05, + "loss": 1.4009, + "step": 1599 + }, + { + "epoch": 15.27, + "learning_rate": 2.81986973973189e-05, + "loss": 1.5344, + "step": 1600 + }, + { + "epoch": 15.28, + "learning_rate": 2.818449172591737e-05, + "loss": 1.5542, + "step": 1601 + }, + { + "epoch": 15.29, + "learning_rate": 2.8170281093114503e-05, + "loss": 1.6279, + "step": 1602 + }, + { + "epoch": 15.3, + "learning_rate": 2.8156065507524717e-05, + "loss": 1.7285, + "step": 1603 + }, + { + "epoch": 15.31, + "learning_rate": 2.8141844977765438e-05, + "loss": 1.7747, + "step": 1604 + }, + { + "epoch": 15.32, + "learning_rate": 2.812761951245709e-05, + "loss": 1.5914, + "step": 1605 + }, + { + "epoch": 15.33, + "learning_rate": 2.8113389120223077e-05, + "loss": 1.6746, + "step": 1606 + }, + { + "epoch": 15.34, + "learning_rate": 2.8099153809689804e-05, + "loss": 1.7096, + "step": 1607 + }, + { + "epoch": 15.35, + "learning_rate": 2.8084913589486645e-05, + "loss": 1.3314, + "step": 1608 + }, + { + "epoch": 15.36, + "learning_rate": 2.8070668468245954e-05, + "loss": 1.3847, + "step": 1609 + }, + { + "epoch": 15.37, + "learning_rate": 2.8056418454603068e-05, + "loss": 1.7571, + "step": 1610 + }, + { + "epoch": 15.38, + "learning_rate": 2.8042163557196277e-05, + "loss": 1.5367, + "step": 1611 + }, + { + "epoch": 15.39, + "learning_rate": 2.802790378466683e-05, + "loss": 1.6048, + "step": 1612 + }, + { + "epoch": 15.4, + "learning_rate": 2.801363914565894e-05, + "loss": 1.6093, + "step": 1613 + }, + { + "epoch": 15.41, + "learning_rate": 2.7999369648819757e-05, + "loss": 1.6822, + "step": 1614 + }, + { + "epoch": 15.42, + "learning_rate": 2.7985095302799395e-05, + "loss": 1.3436, + "step": 1615 + }, + { + "epoch": 15.43, + "learning_rate": 2.7970816116250888e-05, + "loss": 1.4577, + "step": 1616 + }, + { + "epoch": 15.44, + "learning_rate": 2.795653209783023e-05, + "loss": 1.6025, + "step": 1617 + }, + { + "epoch": 15.45, + "learning_rate": 2.794224325619631e-05, + "loss": 1.3238, + "step": 1618 + }, + { + "epoch": 15.46, + "learning_rate": 2.7927949600010965e-05, + "loss": 1.9677, + "step": 1619 + }, + { + "epoch": 15.47, + "learning_rate": 2.791365113793894e-05, + "loss": 1.4827, + "step": 1620 + }, + { + "epoch": 15.47, + "learning_rate": 2.78993478786479e-05, + "loss": 1.3387, + "step": 1621 + }, + { + "epoch": 15.48, + "learning_rate": 2.7885039830808422e-05, + "loss": 1.7363, + "step": 1622 + }, + { + "epoch": 15.49, + "learning_rate": 2.787072700309397e-05, + "loss": 1.7237, + "step": 1623 + }, + { + "epoch": 15.5, + "learning_rate": 2.785640940418091e-05, + "loss": 1.6862, + "step": 1624 + }, + { + "epoch": 15.51, + "learning_rate": 2.784208704274852e-05, + "loss": 1.6143, + "step": 1625 + }, + { + "epoch": 15.52, + "learning_rate": 2.782775992747894e-05, + "loss": 1.5145, + "step": 1626 + }, + { + "epoch": 15.53, + "learning_rate": 2.7813428067057197e-05, + "loss": 1.7306, + "step": 1627 + }, + { + "epoch": 15.54, + "learning_rate": 2.779909147017121e-05, + "loss": 1.7631, + "step": 1628 + }, + { + "epoch": 15.55, + "learning_rate": 2.7784750145511755e-05, + "loss": 1.7365, + "step": 1629 + }, + { + "epoch": 15.56, + "learning_rate": 2.7770404101772474e-05, + "loss": 1.1499, + "step": 1630 + }, + { + "epoch": 15.57, + "learning_rate": 2.7756053347649872e-05, + "loss": 1.6727, + "step": 1631 + }, + { + "epoch": 15.58, + "learning_rate": 2.7741697891843312e-05, + "loss": 1.5976, + "step": 1632 + }, + { + "epoch": 15.59, + "learning_rate": 2.7727337743055014e-05, + "loss": 1.4029, + "step": 1633 + }, + { + "epoch": 15.6, + "learning_rate": 2.7712972909990017e-05, + "loss": 1.5816, + "step": 1634 + }, + { + "epoch": 15.61, + "learning_rate": 2.769860340135623e-05, + "loss": 1.6574, + "step": 1635 + }, + { + "epoch": 15.62, + "learning_rate": 2.768422922586438e-05, + "loss": 1.5378, + "step": 1636 + }, + { + "epoch": 15.63, + "learning_rate": 2.7669850392228023e-05, + "loss": 1.4194, + "step": 1637 + }, + { + "epoch": 15.64, + "learning_rate": 2.7655466909163546e-05, + "loss": 1.4219, + "step": 1638 + }, + { + "epoch": 15.65, + "learning_rate": 2.7641078785390153e-05, + "loss": 1.517, + "step": 1639 + }, + { + "epoch": 15.66, + "learning_rate": 2.7626686029629852e-05, + "loss": 1.7643, + "step": 1640 + }, + { + "epoch": 15.67, + "learning_rate": 2.7612288650607467e-05, + "loss": 1.8053, + "step": 1641 + }, + { + "epoch": 15.68, + "learning_rate": 2.7597886657050624e-05, + "loss": 1.5549, + "step": 1642 + }, + { + "epoch": 15.68, + "learning_rate": 2.7583480057689747e-05, + "loss": 1.3846, + "step": 1643 + }, + { + "epoch": 15.69, + "learning_rate": 2.7569068861258048e-05, + "loss": 1.1913, + "step": 1644 + }, + { + "epoch": 15.7, + "learning_rate": 2.7554653076491534e-05, + "loss": 1.2836, + "step": 1645 + }, + { + "epoch": 15.71, + "learning_rate": 2.7540232712128983e-05, + "loss": 1.6498, + "step": 1646 + }, + { + "epoch": 15.72, + "learning_rate": 2.7525807776911954e-05, + "loss": 1.5615, + "step": 1647 + }, + { + "epoch": 15.73, + "learning_rate": 2.751137827958477e-05, + "loss": 1.9458, + "step": 1648 + }, + { + "epoch": 15.74, + "learning_rate": 2.7496944228894538e-05, + "loss": 1.852, + "step": 1649 + }, + { + "epoch": 15.75, + "learning_rate": 2.7482505633591104e-05, + "loss": 1.926, + "step": 1650 + }, + { + "epoch": 15.76, + "learning_rate": 2.7468062502427084e-05, + "loss": 1.8322, + "step": 1651 + }, + { + "epoch": 15.77, + "learning_rate": 2.7453614844157842e-05, + "loss": 1.712, + "step": 1652 + }, + { + "epoch": 15.78, + "learning_rate": 2.7439162667541464e-05, + "loss": 1.8813, + "step": 1653 + }, + { + "epoch": 15.79, + "learning_rate": 2.7424705981338812e-05, + "loss": 1.6955, + "step": 1654 + }, + { + "epoch": 15.8, + "learning_rate": 2.7410244794313455e-05, + "loss": 1.2707, + "step": 1655 + }, + { + "epoch": 15.81, + "learning_rate": 2.73957791152317e-05, + "loss": 1.7101, + "step": 1656 + }, + { + "epoch": 15.82, + "learning_rate": 2.7381308952862572e-05, + "loss": 1.5946, + "step": 1657 + }, + { + "epoch": 15.83, + "learning_rate": 2.7366834315977818e-05, + "loss": 1.3521, + "step": 1658 + }, + { + "epoch": 15.84, + "learning_rate": 2.7352355213351905e-05, + "loss": 1.6821, + "step": 1659 + }, + { + "epoch": 15.85, + "learning_rate": 2.7337871653761993e-05, + "loss": 1.3848, + "step": 1660 + }, + { + "epoch": 15.86, + "learning_rate": 2.732338364598794e-05, + "loss": 1.3858, + "step": 1661 + }, + { + "epoch": 15.87, + "learning_rate": 2.730889119881232e-05, + "loss": 1.5035, + "step": 1662 + }, + { + "epoch": 15.88, + "learning_rate": 2.7294394321020386e-05, + "loss": 1.5744, + "step": 1663 + }, + { + "epoch": 15.89, + "learning_rate": 2.7279893021400084e-05, + "loss": 1.9378, + "step": 1664 + }, + { + "epoch": 15.89, + "learning_rate": 2.7265387308742025e-05, + "loss": 1.417, + "step": 1665 + }, + { + "epoch": 15.9, + "learning_rate": 2.7250877191839512e-05, + "loss": 1.3923, + "step": 1666 + }, + { + "epoch": 15.91, + "learning_rate": 2.7236362679488514e-05, + "loss": 1.6487, + "step": 1667 + }, + { + "epoch": 15.92, + "learning_rate": 2.722184378048765e-05, + "loss": 1.9384, + "step": 1668 + }, + { + "epoch": 15.93, + "learning_rate": 2.7207320503638216e-05, + "loss": 1.5226, + "step": 1669 + }, + { + "epoch": 15.94, + "learning_rate": 2.719279285774416e-05, + "loss": 1.7228, + "step": 1670 + }, + { + "epoch": 15.95, + "learning_rate": 2.7178260851612076e-05, + "loss": 1.3033, + "step": 1671 + }, + { + "epoch": 15.96, + "learning_rate": 2.7163724494051192e-05, + "loss": 1.5936, + "step": 1672 + }, + { + "epoch": 15.97, + "learning_rate": 2.7149183793873388e-05, + "loss": 1.6491, + "step": 1673 + }, + { + "epoch": 15.98, + "learning_rate": 2.713463875989316e-05, + "loss": 1.3484, + "step": 1674 + }, + { + "epoch": 15.99, + "learning_rate": 2.7120089400927648e-05, + "loss": 1.4672, + "step": 1675 + }, + { + "epoch": 16.0, + "learning_rate": 2.710553572579661e-05, + "loss": 1.8155, + "step": 1676 + }, + { + "epoch": 16.01, + "learning_rate": 2.7090977743322405e-05, + "loss": 1.8479, + "step": 1677 + }, + { + "epoch": 16.02, + "learning_rate": 2.707641546233003e-05, + "loss": 1.7194, + "step": 1678 + }, + { + "epoch": 16.03, + "learning_rate": 2.7061848891647067e-05, + "loss": 1.8594, + "step": 1679 + }, + { + "epoch": 16.04, + "learning_rate": 2.7047278040103697e-05, + "loss": 1.7655, + "step": 1680 + }, + { + "epoch": 16.05, + "learning_rate": 2.7032702916532714e-05, + "loss": 1.3717, + "step": 1681 + }, + { + "epoch": 16.06, + "learning_rate": 2.7018123529769484e-05, + "loss": 1.4317, + "step": 1682 + }, + { + "epoch": 16.07, + "learning_rate": 2.700353988865197e-05, + "loss": 1.1716, + "step": 1683 + }, + { + "epoch": 16.08, + "learning_rate": 2.6988952002020696e-05, + "loss": 2.1537, + "step": 1684 + }, + { + "epoch": 16.09, + "learning_rate": 2.6974359878718788e-05, + "loss": 1.1254, + "step": 1685 + }, + { + "epoch": 16.1, + "learning_rate": 2.695976352759192e-05, + "loss": 1.7918, + "step": 1686 + }, + { + "epoch": 16.11, + "learning_rate": 2.6945162957488327e-05, + "loss": 1.6522, + "step": 1687 + }, + { + "epoch": 16.11, + "learning_rate": 2.6930558177258813e-05, + "loss": 1.4893, + "step": 1688 + }, + { + "epoch": 16.12, + "learning_rate": 2.6915949195756726e-05, + "loss": 1.4253, + "step": 1689 + }, + { + "epoch": 16.13, + "learning_rate": 2.6901336021837964e-05, + "loss": 1.6555, + "step": 1690 + }, + { + "epoch": 16.14, + "learning_rate": 2.6886718664360965e-05, + "loss": 1.2829, + "step": 1691 + }, + { + "epoch": 16.15, + "learning_rate": 2.6872097132186706e-05, + "loss": 1.9875, + "step": 1692 + }, + { + "epoch": 16.16, + "learning_rate": 2.68574714341787e-05, + "loss": 1.5834, + "step": 1693 + }, + { + "epoch": 16.17, + "learning_rate": 2.684284157920296e-05, + "loss": 1.6265, + "step": 1694 + }, + { + "epoch": 16.18, + "learning_rate": 2.682820757612805e-05, + "loss": 1.7599, + "step": 1695 + }, + { + "epoch": 16.19, + "learning_rate": 2.6813569433825036e-05, + "loss": 1.3512, + "step": 1696 + }, + { + "epoch": 16.2, + "learning_rate": 2.6798927161167485e-05, + "loss": 1.6642, + "step": 1697 + }, + { + "epoch": 16.21, + "learning_rate": 2.6784280767031487e-05, + "loss": 1.628, + "step": 1698 + }, + { + "epoch": 16.22, + "learning_rate": 2.6769630260295607e-05, + "loss": 1.8643, + "step": 1699 + }, + { + "epoch": 16.23, + "learning_rate": 2.6754975649840918e-05, + "loss": 1.7993, + "step": 1700 + }, + { + "epoch": 16.24, + "learning_rate": 2.6740316944550982e-05, + "loss": 1.3498, + "step": 1701 + }, + { + "epoch": 16.25, + "learning_rate": 2.672565415331184e-05, + "loss": 1.7265, + "step": 1702 + }, + { + "epoch": 16.26, + "learning_rate": 2.6710987285011997e-05, + "loss": 1.4754, + "step": 1703 + }, + { + "epoch": 16.27, + "learning_rate": 2.6696316348542458e-05, + "loss": 1.2835, + "step": 1704 + }, + { + "epoch": 16.28, + "learning_rate": 2.668164135279666e-05, + "loss": 1.706, + "step": 1705 + }, + { + "epoch": 16.29, + "learning_rate": 2.6666962306670535e-05, + "loss": 1.3785, + "step": 1706 + }, + { + "epoch": 16.3, + "learning_rate": 2.6652279219062444e-05, + "loss": 1.5208, + "step": 1707 + }, + { + "epoch": 16.31, + "learning_rate": 2.6637592098873203e-05, + "loss": 1.458, + "step": 1708 + }, + { + "epoch": 16.32, + "learning_rate": 2.6622900955006086e-05, + "loss": 1.5303, + "step": 1709 + }, + { + "epoch": 16.32, + "learning_rate": 2.660820579636679e-05, + "loss": 1.5979, + "step": 1710 + }, + { + "epoch": 16.33, + "learning_rate": 2.659350663186346e-05, + "loss": 1.5936, + "step": 1711 + }, + { + "epoch": 16.34, + "learning_rate": 2.6578803470406658e-05, + "loss": 1.4012, + "step": 1712 + }, + { + "epoch": 16.35, + "learning_rate": 2.656409632090938e-05, + "loss": 1.9755, + "step": 1713 + }, + { + "epoch": 16.36, + "learning_rate": 2.6549385192287015e-05, + "loss": 1.5753, + "step": 1714 + }, + { + "epoch": 16.37, + "learning_rate": 2.65346700934574e-05, + "loss": 1.8329, + "step": 1715 + }, + { + "epoch": 16.38, + "learning_rate": 2.6519951033340748e-05, + "loss": 1.5728, + "step": 1716 + }, + { + "epoch": 16.39, + "learning_rate": 2.6505228020859696e-05, + "loss": 1.5016, + "step": 1717 + }, + { + "epoch": 16.4, + "learning_rate": 2.6490501064939257e-05, + "loss": 1.7003, + "step": 1718 + }, + { + "epoch": 16.41, + "learning_rate": 2.647577017450685e-05, + "loss": 1.8286, + "step": 1719 + }, + { + "epoch": 16.42, + "learning_rate": 2.6461035358492274e-05, + "loss": 1.3084, + "step": 1720 + }, + { + "epoch": 16.43, + "learning_rate": 2.6446296625827705e-05, + "loss": 1.562, + "step": 1721 + }, + { + "epoch": 16.44, + "learning_rate": 2.643155398544769e-05, + "loss": 1.6793, + "step": 1722 + }, + { + "epoch": 16.45, + "learning_rate": 2.6416807446289158e-05, + "loss": 1.6305, + "step": 1723 + }, + { + "epoch": 16.46, + "learning_rate": 2.6402057017291386e-05, + "loss": 1.2797, + "step": 1724 + }, + { + "epoch": 16.47, + "learning_rate": 2.6387302707396025e-05, + "loss": 1.6257, + "step": 1725 + }, + { + "epoch": 16.48, + "learning_rate": 2.6372544525547063e-05, + "loss": 1.3059, + "step": 1726 + }, + { + "epoch": 16.49, + "learning_rate": 2.6357782480690846e-05, + "loss": 1.3164, + "step": 1727 + }, + { + "epoch": 16.5, + "learning_rate": 2.6343016581776057e-05, + "loss": 1.4881, + "step": 1728 + }, + { + "epoch": 16.51, + "learning_rate": 2.6328246837753714e-05, + "loss": 1.6044, + "step": 1729 + }, + { + "epoch": 16.52, + "learning_rate": 2.631347325757717e-05, + "loss": 1.356, + "step": 1730 + }, + { + "epoch": 16.53, + "learning_rate": 2.62986958502021e-05, + "loss": 2.0638, + "step": 1731 + }, + { + "epoch": 16.53, + "learning_rate": 2.6283914624586506e-05, + "loss": 1.4992, + "step": 1732 + }, + { + "epoch": 16.54, + "learning_rate": 2.6269129589690696e-05, + "loss": 1.5455, + "step": 1733 + }, + { + "epoch": 16.55, + "learning_rate": 2.6254340754477284e-05, + "loss": 1.81, + "step": 1734 + }, + { + "epoch": 16.56, + "learning_rate": 2.6239548127911204e-05, + "loss": 1.9442, + "step": 1735 + }, + { + "epoch": 16.57, + "learning_rate": 2.622475171895967e-05, + "loss": 1.9617, + "step": 1736 + }, + { + "epoch": 16.58, + "learning_rate": 2.6209951536592205e-05, + "loss": 1.5643, + "step": 1737 + }, + { + "epoch": 16.59, + "learning_rate": 2.61951475897806e-05, + "loss": 1.6152, + "step": 1738 + }, + { + "epoch": 16.6, + "learning_rate": 2.618033988749895e-05, + "loss": 1.7617, + "step": 1739 + }, + { + "epoch": 16.61, + "learning_rate": 2.616552843872362e-05, + "loss": 1.3747, + "step": 1740 + }, + { + "epoch": 16.62, + "learning_rate": 2.6150713252433232e-05, + "loss": 1.9039, + "step": 1741 + }, + { + "epoch": 16.63, + "learning_rate": 2.6135894337608686e-05, + "loss": 1.3537, + "step": 1742 + }, + { + "epoch": 16.64, + "learning_rate": 2.612107170323314e-05, + "loss": 1.512, + "step": 1743 + }, + { + "epoch": 16.65, + "learning_rate": 2.610624535829201e-05, + "loss": 1.3189, + "step": 1744 + }, + { + "epoch": 16.66, + "learning_rate": 2.609141531177296e-05, + "loss": 1.475, + "step": 1745 + }, + { + "epoch": 16.67, + "learning_rate": 2.6076581572665886e-05, + "loss": 1.3685, + "step": 1746 + }, + { + "epoch": 16.68, + "learning_rate": 2.606174414996295e-05, + "loss": 1.4686, + "step": 1747 + }, + { + "epoch": 16.69, + "learning_rate": 2.6046903052658515e-05, + "loss": 1.4739, + "step": 1748 + }, + { + "epoch": 16.7, + "learning_rate": 2.603205828974919e-05, + "loss": 1.8164, + "step": 1749 + }, + { + "epoch": 16.71, + "learning_rate": 2.60172098702338e-05, + "loss": 1.4202, + "step": 1750 + }, + { + "epoch": 16.72, + "learning_rate": 2.6002357803113394e-05, + "loss": 1.6427, + "step": 1751 + }, + { + "epoch": 16.73, + "learning_rate": 2.5987502097391225e-05, + "loss": 1.4448, + "step": 1752 + }, + { + "epoch": 16.74, + "learning_rate": 2.5972642762072752e-05, + "loss": 1.8262, + "step": 1753 + }, + { + "epoch": 16.74, + "learning_rate": 2.595777980616564e-05, + "loss": 1.3074, + "step": 1754 + }, + { + "epoch": 16.75, + "learning_rate": 2.594291323867974e-05, + "loss": 1.5473, + "step": 1755 + }, + { + "epoch": 16.76, + "learning_rate": 2.5928043068627098e-05, + "loss": 1.4296, + "step": 1756 + }, + { + "epoch": 16.77, + "learning_rate": 2.5913169305021944e-05, + "loss": 1.4966, + "step": 1757 + }, + { + "epoch": 16.78, + "learning_rate": 2.5898291956880687e-05, + "loss": 1.4606, + "step": 1758 + }, + { + "epoch": 16.79, + "learning_rate": 2.58834110332219e-05, + "loss": 1.4515, + "step": 1759 + }, + { + "epoch": 16.8, + "learning_rate": 2.586852654306634e-05, + "loss": 1.5778, + "step": 1760 + }, + { + "epoch": 16.81, + "learning_rate": 2.585363849543691e-05, + "loss": 1.4456, + "step": 1761 + }, + { + "epoch": 16.82, + "learning_rate": 2.5838746899358678e-05, + "loss": 1.6925, + "step": 1762 + }, + { + "epoch": 16.83, + "learning_rate": 2.582385176385886e-05, + "loss": 1.5388, + "step": 1763 + }, + { + "epoch": 16.84, + "learning_rate": 2.5808953097966826e-05, + "loss": 1.4287, + "step": 1764 + }, + { + "epoch": 16.85, + "learning_rate": 2.579405091071407e-05, + "loss": 1.6265, + "step": 1765 + }, + { + "epoch": 16.86, + "learning_rate": 2.5779145211134233e-05, + "loss": 1.4946, + "step": 1766 + }, + { + "epoch": 16.87, + "learning_rate": 2.5764236008263086e-05, + "loss": 1.4959, + "step": 1767 + }, + { + "epoch": 16.88, + "learning_rate": 2.574932331113851e-05, + "loss": 1.2979, + "step": 1768 + }, + { + "epoch": 16.89, + "learning_rate": 2.573440712880052e-05, + "loss": 1.6402, + "step": 1769 + }, + { + "epoch": 16.9, + "learning_rate": 2.5719487470291237e-05, + "loss": 1.8233, + "step": 1770 + }, + { + "epoch": 16.91, + "learning_rate": 2.5704564344654887e-05, + "loss": 1.8345, + "step": 1771 + }, + { + "epoch": 16.92, + "learning_rate": 2.56896377609378e-05, + "loss": 1.4848, + "step": 1772 + }, + { + "epoch": 16.93, + "learning_rate": 2.567470772818841e-05, + "loss": 1.6502, + "step": 1773 + }, + { + "epoch": 16.94, + "learning_rate": 2.5659774255457226e-05, + "loss": 1.4327, + "step": 1774 + }, + { + "epoch": 16.95, + "learning_rate": 2.5644837351796856e-05, + "loss": 1.5404, + "step": 1775 + }, + { + "epoch": 16.95, + "learning_rate": 2.5629897026261974e-05, + "loss": 1.6025, + "step": 1776 + }, + { + "epoch": 16.96, + "learning_rate": 2.5614953287909344e-05, + "loss": 1.6004, + "step": 1777 + }, + { + "epoch": 16.97, + "learning_rate": 2.5600006145797794e-05, + "loss": 1.4519, + "step": 1778 + }, + { + "epoch": 16.98, + "learning_rate": 2.5585055608988202e-05, + "loss": 1.6914, + "step": 1779 + }, + { + "epoch": 16.99, + "learning_rate": 2.5570101686543528e-05, + "loss": 1.3179, + "step": 1780 + }, + { + "epoch": 17.0, + "learning_rate": 2.555514438752877e-05, + "loss": 1.5372, + "step": 1781 + }, + { + "epoch": 17.01, + "learning_rate": 2.5540183721010962e-05, + "loss": 1.3886, + "step": 1782 + }, + { + "epoch": 17.02, + "learning_rate": 2.5525219696059197e-05, + "loss": 1.5602, + "step": 1783 + }, + { + "epoch": 17.03, + "learning_rate": 2.5510252321744605e-05, + "loss": 1.3773, + "step": 1784 + }, + { + "epoch": 17.04, + "learning_rate": 2.549528160714033e-05, + "loss": 1.7017, + "step": 1785 + }, + { + "epoch": 17.05, + "learning_rate": 2.548030756132156e-05, + "loss": 1.9173, + "step": 1786 + }, + { + "epoch": 17.06, + "learning_rate": 2.5465330193365483e-05, + "loss": 1.7219, + "step": 1787 + }, + { + "epoch": 17.07, + "learning_rate": 2.5450349512351324e-05, + "loss": 1.5566, + "step": 1788 + }, + { + "epoch": 17.08, + "learning_rate": 2.543536552736029e-05, + "loss": 1.3496, + "step": 1789 + }, + { + "epoch": 17.09, + "learning_rate": 2.5420378247475608e-05, + "loss": 1.769, + "step": 1790 + }, + { + "epoch": 17.1, + "learning_rate": 2.5405387681782498e-05, + "loss": 1.8872, + "step": 1791 + }, + { + "epoch": 17.11, + "learning_rate": 2.5390393839368174e-05, + "loss": 1.9834, + "step": 1792 + }, + { + "epoch": 17.12, + "learning_rate": 2.5375396729321832e-05, + "loss": 1.4948, + "step": 1793 + }, + { + "epoch": 17.13, + "learning_rate": 2.5360396360734664e-05, + "loss": 1.682, + "step": 1794 + }, + { + "epoch": 17.14, + "learning_rate": 2.5345392742699804e-05, + "loss": 1.4626, + "step": 1795 + }, + { + "epoch": 17.15, + "learning_rate": 2.5330385884312385e-05, + "loss": 1.629, + "step": 1796 + }, + { + "epoch": 17.16, + "learning_rate": 2.53153757946695e-05, + "loss": 1.4507, + "step": 1797 + }, + { + "epoch": 17.16, + "learning_rate": 2.5300362482870192e-05, + "loss": 1.7575, + "step": 1798 + }, + { + "epoch": 17.17, + "learning_rate": 2.5285345958015466e-05, + "loss": 1.5675, + "step": 1799 + }, + { + "epoch": 17.18, + "learning_rate": 2.5270326229208263e-05, + "loss": 1.1872, + "step": 1800 + }, + { + "epoch": 17.19, + "learning_rate": 2.5255303305553485e-05, + "loss": 1.5548, + "step": 1801 + }, + { + "epoch": 17.2, + "learning_rate": 2.5240277196157947e-05, + "loss": 1.4136, + "step": 1802 + }, + { + "epoch": 17.21, + "learning_rate": 2.5225247910130412e-05, + "loss": 1.6415, + "step": 1803 + }, + { + "epoch": 17.22, + "learning_rate": 2.521021545658157e-05, + "loss": 1.487, + "step": 1804 + }, + { + "epoch": 17.23, + "learning_rate": 2.5195179844624018e-05, + "loss": 1.4505, + "step": 1805 + }, + { + "epoch": 17.24, + "learning_rate": 2.5180141083372283e-05, + "loss": 1.4225, + "step": 1806 + }, + { + "epoch": 17.25, + "learning_rate": 2.5165099181942783e-05, + "loss": 1.5531, + "step": 1807 + }, + { + "epoch": 17.26, + "learning_rate": 2.5150054149453853e-05, + "loss": 1.5176, + "step": 1808 + }, + { + "epoch": 17.27, + "learning_rate": 2.5135005995025727e-05, + "loss": 1.659, + "step": 1809 + }, + { + "epoch": 17.28, + "learning_rate": 2.5119954727780528e-05, + "loss": 1.756, + "step": 1810 + }, + { + "epoch": 17.29, + "learning_rate": 2.5104900356842256e-05, + "loss": 1.7891, + "step": 1811 + }, + { + "epoch": 17.3, + "learning_rate": 2.5089842891336805e-05, + "loss": 1.806, + "step": 1812 + }, + { + "epoch": 17.31, + "learning_rate": 2.5074782340391947e-05, + "loss": 1.3335, + "step": 1813 + }, + { + "epoch": 17.32, + "learning_rate": 2.505971871313732e-05, + "loss": 1.502, + "step": 1814 + }, + { + "epoch": 17.33, + "learning_rate": 2.5044652018704415e-05, + "loss": 1.4413, + "step": 1815 + }, + { + "epoch": 17.34, + "learning_rate": 2.5029582266226605e-05, + "loss": 1.5881, + "step": 1816 + }, + { + "epoch": 17.35, + "learning_rate": 2.5014509464839095e-05, + "loss": 1.6972, + "step": 1817 + }, + { + "epoch": 17.36, + "learning_rate": 2.499943362367895e-05, + "loss": 1.6799, + "step": 1818 + }, + { + "epoch": 17.37, + "learning_rate": 2.498435475188508e-05, + "loss": 1.2557, + "step": 1819 + }, + { + "epoch": 17.37, + "learning_rate": 2.4969272858598225e-05, + "loss": 1.6154, + "step": 1820 + }, + { + "epoch": 17.38, + "learning_rate": 2.4954187952960967e-05, + "loss": 1.4868, + "step": 1821 + }, + { + "epoch": 17.39, + "learning_rate": 2.4939100044117694e-05, + "loss": 1.5371, + "step": 1822 + }, + { + "epoch": 17.4, + "learning_rate": 2.492400914121463e-05, + "loss": 1.6533, + "step": 1823 + }, + { + "epoch": 17.41, + "learning_rate": 2.490891525339982e-05, + "loss": 1.5346, + "step": 1824 + }, + { + "epoch": 17.42, + "learning_rate": 2.4893818389823104e-05, + "loss": 1.8092, + "step": 1825 + }, + { + "epoch": 17.43, + "learning_rate": 2.4878718559636127e-05, + "loss": 1.3466, + "step": 1826 + }, + { + "epoch": 17.44, + "learning_rate": 2.4863615771992345e-05, + "loss": 1.6715, + "step": 1827 + }, + { + "epoch": 17.45, + "learning_rate": 2.4848510036046993e-05, + "loss": 1.3495, + "step": 1828 + }, + { + "epoch": 17.46, + "learning_rate": 2.48334013609571e-05, + "loss": 1.2564, + "step": 1829 + }, + { + "epoch": 17.47, + "learning_rate": 2.4818289755881474e-05, + "loss": 1.6498, + "step": 1830 + }, + { + "epoch": 17.48, + "learning_rate": 2.4803175229980706e-05, + "loss": 1.2582, + "step": 1831 + }, + { + "epoch": 17.49, + "learning_rate": 2.4788057792417147e-05, + "loss": 1.9926, + "step": 1832 + }, + { + "epoch": 17.5, + "learning_rate": 2.4772937452354916e-05, + "loss": 1.7435, + "step": 1833 + }, + { + "epoch": 17.51, + "learning_rate": 2.4757814218959904e-05, + "loss": 1.7305, + "step": 1834 + }, + { + "epoch": 17.52, + "learning_rate": 2.4742688101399744e-05, + "loss": 1.3161, + "step": 1835 + }, + { + "epoch": 17.53, + "learning_rate": 2.472755910884381e-05, + "loss": 1.6769, + "step": 1836 + }, + { + "epoch": 17.54, + "learning_rate": 2.471242725046323e-05, + "loss": 1.3568, + "step": 1837 + }, + { + "epoch": 17.55, + "learning_rate": 2.4697292535430867e-05, + "loss": 1.5298, + "step": 1838 + }, + { + "epoch": 17.56, + "learning_rate": 2.4682154972921325e-05, + "loss": 1.7617, + "step": 1839 + }, + { + "epoch": 17.57, + "learning_rate": 2.466701457211092e-05, + "loss": 1.3976, + "step": 1840 + }, + { + "epoch": 17.58, + "learning_rate": 2.4651871342177686e-05, + "loss": 1.6639, + "step": 1841 + }, + { + "epoch": 17.58, + "learning_rate": 2.463672529230139e-05, + "loss": 1.8387, + "step": 1842 + }, + { + "epoch": 17.59, + "learning_rate": 2.4621576431663486e-05, + "loss": 1.3803, + "step": 1843 + }, + { + "epoch": 17.6, + "learning_rate": 2.4606424769447163e-05, + "loss": 1.5526, + "step": 1844 + }, + { + "epoch": 17.61, + "learning_rate": 2.459127031483727e-05, + "loss": 1.6956, + "step": 1845 + }, + { + "epoch": 17.62, + "learning_rate": 2.4576113077020373e-05, + "loss": 1.4062, + "step": 1846 + }, + { + "epoch": 17.63, + "learning_rate": 2.4560953065184724e-05, + "loss": 1.5567, + "step": 1847 + }, + { + "epoch": 17.64, + "learning_rate": 2.4545790288520256e-05, + "loss": 1.5245, + "step": 1848 + }, + { + "epoch": 17.65, + "learning_rate": 2.4530624756218568e-05, + "loss": 1.8041, + "step": 1849 + }, + { + "epoch": 17.66, + "learning_rate": 2.4515456477472935e-05, + "loss": 1.3402, + "step": 1850 + }, + { + "epoch": 17.67, + "learning_rate": 2.45002854614783e-05, + "loss": 1.6466, + "step": 1851 + }, + { + "epoch": 17.68, + "learning_rate": 2.4485111717431266e-05, + "loss": 2.1338, + "step": 1852 + }, + { + "epoch": 17.69, + "learning_rate": 2.4469935254530084e-05, + "loss": 1.3905, + "step": 1853 + }, + { + "epoch": 17.7, + "learning_rate": 2.4454756081974654e-05, + "loss": 1.8913, + "step": 1854 + }, + { + "epoch": 17.71, + "learning_rate": 2.443957420896653e-05, + "loss": 1.3724, + "step": 1855 + }, + { + "epoch": 17.72, + "learning_rate": 2.4424389644708888e-05, + "loss": 1.4121, + "step": 1856 + }, + { + "epoch": 17.73, + "learning_rate": 2.4409202398406536e-05, + "loss": 1.5653, + "step": 1857 + }, + { + "epoch": 17.74, + "learning_rate": 2.439401247926592e-05, + "loss": 1.6762, + "step": 1858 + }, + { + "epoch": 17.75, + "learning_rate": 2.4378819896495097e-05, + "loss": 1.7609, + "step": 1859 + }, + { + "epoch": 17.76, + "learning_rate": 2.4363624659303738e-05, + "loss": 1.6285, + "step": 1860 + }, + { + "epoch": 17.77, + "learning_rate": 2.4348426776903132e-05, + "loss": 1.5825, + "step": 1861 + }, + { + "epoch": 17.78, + "learning_rate": 2.433322625850617e-05, + "loss": 1.9076, + "step": 1862 + }, + { + "epoch": 17.79, + "learning_rate": 2.431802311332732e-05, + "loss": 1.4476, + "step": 1863 + }, + { + "epoch": 17.79, + "learning_rate": 2.430281735058267e-05, + "loss": 1.2678, + "step": 1864 + }, + { + "epoch": 17.8, + "learning_rate": 2.4287608979489882e-05, + "loss": 1.3049, + "step": 1865 + }, + { + "epoch": 17.81, + "learning_rate": 2.4272398009268203e-05, + "loss": 1.5188, + "step": 1866 + }, + { + "epoch": 17.82, + "learning_rate": 2.425718444913845e-05, + "loss": 1.6143, + "step": 1867 + }, + { + "epoch": 17.83, + "learning_rate": 2.424196830832301e-05, + "loss": 1.26, + "step": 1868 + }, + { + "epoch": 17.84, + "learning_rate": 2.422674959604585e-05, + "loss": 1.6625, + "step": 1869 + }, + { + "epoch": 17.85, + "learning_rate": 2.421152832153247e-05, + "loss": 1.5021, + "step": 1870 + }, + { + "epoch": 17.86, + "learning_rate": 2.4196304494009945e-05, + "loss": 1.49, + "step": 1871 + }, + { + "epoch": 17.87, + "learning_rate": 2.4181078122706886e-05, + "loss": 1.8062, + "step": 1872 + }, + { + "epoch": 17.88, + "learning_rate": 2.4165849216853454e-05, + "loss": 1.4773, + "step": 1873 + }, + { + "epoch": 17.89, + "learning_rate": 2.4150617785681333e-05, + "loss": 1.3187, + "step": 1874 + }, + { + "epoch": 17.9, + "learning_rate": 2.4135383838423758e-05, + "loss": 1.6306, + "step": 1875 + }, + { + "epoch": 17.91, + "learning_rate": 2.4120147384315465e-05, + "loss": 1.8806, + "step": 1876 + }, + { + "epoch": 17.92, + "learning_rate": 2.4104908432592732e-05, + "loss": 1.5697, + "step": 1877 + }, + { + "epoch": 17.93, + "learning_rate": 2.408966699249334e-05, + "loss": 1.5744, + "step": 1878 + }, + { + "epoch": 17.94, + "learning_rate": 2.407442307325658e-05, + "loss": 1.3193, + "step": 1879 + }, + { + "epoch": 17.95, + "learning_rate": 2.4059176684123246e-05, + "loss": 1.4727, + "step": 1880 + }, + { + "epoch": 17.96, + "learning_rate": 2.4043927834335624e-05, + "loss": 1.7232, + "step": 1881 + }, + { + "epoch": 17.97, + "learning_rate": 2.4028676533137506e-05, + "loss": 1.6639, + "step": 1882 + }, + { + "epoch": 17.98, + "learning_rate": 2.4013422789774147e-05, + "loss": 1.7433, + "step": 1883 + }, + { + "epoch": 17.99, + "learning_rate": 2.399816661349231e-05, + "loss": 1.3445, + "step": 1884 + }, + { + "epoch": 18.0, + "learning_rate": 2.3982908013540214e-05, + "loss": 1.6695, + "step": 1885 + }, + { + "epoch": 18.0, + "learning_rate": 2.3967646999167552e-05, + "loss": 1.6012, + "step": 1886 + }, + { + "epoch": 18.01, + "learning_rate": 2.395238357962548e-05, + "loss": 1.7213, + "step": 1887 + }, + { + "epoch": 18.02, + "learning_rate": 2.3937117764166614e-05, + "loss": 1.8832, + "step": 1888 + }, + { + "epoch": 18.03, + "learning_rate": 2.392184956204503e-05, + "loss": 1.2114, + "step": 1889 + }, + { + "epoch": 18.04, + "learning_rate": 2.3906578982516225e-05, + "loss": 1.4155, + "step": 1890 + }, + { + "epoch": 18.05, + "learning_rate": 2.3891306034837163e-05, + "loss": 1.6668, + "step": 1891 + }, + { + "epoch": 18.06, + "learning_rate": 2.3876030728266235e-05, + "loss": 1.6266, + "step": 1892 + }, + { + "epoch": 18.07, + "learning_rate": 2.3860753072063264e-05, + "loss": 1.4303, + "step": 1893 + }, + { + "epoch": 18.08, + "learning_rate": 2.3845473075489487e-05, + "loss": 1.5783, + "step": 1894 + }, + { + "epoch": 18.09, + "learning_rate": 2.3830190747807578e-05, + "loss": 1.8303, + "step": 1895 + }, + { + "epoch": 18.1, + "learning_rate": 2.3814906098281613e-05, + "loss": 2.1199, + "step": 1896 + }, + { + "epoch": 18.11, + "learning_rate": 2.3799619136177067e-05, + "loss": 1.3604, + "step": 1897 + }, + { + "epoch": 18.12, + "learning_rate": 2.3784329870760835e-05, + "loss": 1.3638, + "step": 1898 + }, + { + "epoch": 18.13, + "learning_rate": 2.3769038311301193e-05, + "loss": 1.8488, + "step": 1899 + }, + { + "epoch": 18.14, + "learning_rate": 2.3753744467067817e-05, + "loss": 1.2473, + "step": 1900 + }, + { + "epoch": 18.15, + "learning_rate": 2.373844834733177e-05, + "loss": 1.5829, + "step": 1901 + }, + { + "epoch": 18.16, + "learning_rate": 2.3723149961365482e-05, + "loss": 1.5595, + "step": 1902 + }, + { + "epoch": 18.17, + "learning_rate": 2.3707849318442776e-05, + "loss": 1.276, + "step": 1903 + }, + { + "epoch": 18.18, + "learning_rate": 2.369254642783881e-05, + "loss": 1.9508, + "step": 1904 + }, + { + "epoch": 18.19, + "learning_rate": 2.367724129883015e-05, + "loss": 1.67, + "step": 1905 + }, + { + "epoch": 18.2, + "learning_rate": 2.3661933940694677e-05, + "loss": 1.5106, + "step": 1906 + }, + { + "epoch": 18.21, + "learning_rate": 2.3646624362711655e-05, + "loss": 1.5551, + "step": 1907 + }, + { + "epoch": 18.21, + "learning_rate": 2.3631312574161674e-05, + "loss": 1.478, + "step": 1908 + }, + { + "epoch": 18.22, + "learning_rate": 2.3615998584326668e-05, + "loss": 1.4786, + "step": 1909 + }, + { + "epoch": 18.23, + "learning_rate": 2.3600682402489907e-05, + "loss": 1.4091, + "step": 1910 + }, + { + "epoch": 18.24, + "learning_rate": 2.3585364037935995e-05, + "loss": 1.5968, + "step": 1911 + }, + { + "epoch": 18.25, + "learning_rate": 2.357004349995085e-05, + "loss": 1.4592, + "step": 1912 + }, + { + "epoch": 18.26, + "learning_rate": 2.355472079782172e-05, + "loss": 1.3018, + "step": 1913 + }, + { + "epoch": 18.27, + "learning_rate": 2.3539395940837143e-05, + "loss": 1.6292, + "step": 1914 + }, + { + "epoch": 18.28, + "learning_rate": 2.3524068938286984e-05, + "loss": 1.6617, + "step": 1915 + }, + { + "epoch": 18.29, + "learning_rate": 2.350873979946241e-05, + "loss": 1.522, + "step": 1916 + }, + { + "epoch": 18.3, + "learning_rate": 2.3493408533655852e-05, + "loss": 1.8138, + "step": 1917 + }, + { + "epoch": 18.31, + "learning_rate": 2.3478075150161076e-05, + "loss": 1.3671, + "step": 1918 + }, + { + "epoch": 18.32, + "learning_rate": 2.34627396582731e-05, + "loss": 1.5916, + "step": 1919 + }, + { + "epoch": 18.33, + "learning_rate": 2.3447402067288227e-05, + "loss": 1.4515, + "step": 1920 + }, + { + "epoch": 18.34, + "learning_rate": 2.3432062386504036e-05, + "loss": 1.7122, + "step": 1921 + }, + { + "epoch": 18.35, + "learning_rate": 2.3416720625219373e-05, + "loss": 1.6524, + "step": 1922 + }, + { + "epoch": 18.36, + "learning_rate": 2.3401376792734344e-05, + "loss": 1.4418, + "step": 1923 + }, + { + "epoch": 18.37, + "learning_rate": 2.33860308983503e-05, + "loss": 1.6078, + "step": 1924 + }, + { + "epoch": 18.38, + "learning_rate": 2.337068295136987e-05, + "loss": 1.4268, + "step": 1925 + }, + { + "epoch": 18.39, + "learning_rate": 2.3355332961096888e-05, + "loss": 1.5037, + "step": 1926 + }, + { + "epoch": 18.4, + "learning_rate": 2.3339980936836467e-05, + "loss": 1.3935, + "step": 1927 + }, + { + "epoch": 18.41, + "learning_rate": 2.332462688789492e-05, + "loss": 2.0469, + "step": 1928 + }, + { + "epoch": 18.42, + "learning_rate": 2.3309270823579803e-05, + "loss": 1.6362, + "step": 1929 + }, + { + "epoch": 18.42, + "learning_rate": 2.3293912753199905e-05, + "loss": 1.6072, + "step": 1930 + }, + { + "epoch": 18.43, + "learning_rate": 2.3278552686065194e-05, + "loss": 1.6738, + "step": 1931 + }, + { + "epoch": 18.44, + "learning_rate": 2.3263190631486895e-05, + "loss": 1.5493, + "step": 1932 + }, + { + "epoch": 18.45, + "learning_rate": 2.32478265987774e-05, + "loss": 1.2538, + "step": 1933 + }, + { + "epoch": 18.46, + "learning_rate": 2.323246059725032e-05, + "loss": 1.75, + "step": 1934 + }, + { + "epoch": 18.47, + "learning_rate": 2.321709263622046e-05, + "loss": 1.6096, + "step": 1935 + }, + { + "epoch": 18.48, + "learning_rate": 2.3201722725003796e-05, + "loss": 1.8876, + "step": 1936 + }, + { + "epoch": 18.49, + "learning_rate": 2.3186350872917514e-05, + "loss": 1.4209, + "step": 1937 + }, + { + "epoch": 18.5, + "learning_rate": 2.3170977089279945e-05, + "loss": 1.568, + "step": 1938 + }, + { + "epoch": 18.51, + "learning_rate": 2.3155601383410614e-05, + "loss": 1.9411, + "step": 1939 + }, + { + "epoch": 18.52, + "learning_rate": 2.31402237646302e-05, + "loss": 1.6221, + "step": 1940 + }, + { + "epoch": 18.53, + "learning_rate": 2.3124844242260543e-05, + "loss": 1.5811, + "step": 1941 + }, + { + "epoch": 18.54, + "learning_rate": 2.3109462825624646e-05, + "loss": 1.2129, + "step": 1942 + }, + { + "epoch": 18.55, + "learning_rate": 2.3094079524046652e-05, + "loss": 1.7817, + "step": 1943 + }, + { + "epoch": 18.56, + "learning_rate": 2.3078694346851843e-05, + "loss": 1.7809, + "step": 1944 + }, + { + "epoch": 18.57, + "learning_rate": 2.306330730336664e-05, + "loss": 1.6608, + "step": 1945 + }, + { + "epoch": 18.58, + "learning_rate": 2.3047918402918607e-05, + "loss": 1.5364, + "step": 1946 + }, + { + "epoch": 18.59, + "learning_rate": 2.3032527654836425e-05, + "loss": 1.4671, + "step": 1947 + }, + { + "epoch": 18.6, + "learning_rate": 2.3017135068449884e-05, + "loss": 1.5417, + "step": 1948 + }, + { + "epoch": 18.61, + "learning_rate": 2.3001740653089907e-05, + "loss": 1.4274, + "step": 1949 + }, + { + "epoch": 18.62, + "learning_rate": 2.2986344418088518e-05, + "loss": 1.4833, + "step": 1950 + }, + { + "epoch": 18.63, + "learning_rate": 2.2970946372778847e-05, + "loss": 1.4972, + "step": 1951 + }, + { + "epoch": 18.63, + "learning_rate": 2.295554652649511e-05, + "loss": 1.4087, + "step": 1952 + }, + { + "epoch": 18.64, + "learning_rate": 2.2940144888572627e-05, + "loss": 1.8596, + "step": 1953 + }, + { + "epoch": 18.65, + "learning_rate": 2.2924741468347803e-05, + "loss": 1.8281, + "step": 1954 + }, + { + "epoch": 18.66, + "learning_rate": 2.2909336275158117e-05, + "loss": 1.6063, + "step": 1955 + }, + { + "epoch": 18.67, + "learning_rate": 2.289392931834213e-05, + "loss": 1.2814, + "step": 1956 + }, + { + "epoch": 18.68, + "learning_rate": 2.2878520607239464e-05, + "loss": 1.3046, + "step": 1957 + }, + { + "epoch": 18.69, + "learning_rate": 2.2863110151190816e-05, + "loss": 1.6494, + "step": 1958 + }, + { + "epoch": 18.7, + "learning_rate": 2.2847697959537927e-05, + "loss": 1.0714, + "step": 1959 + }, + { + "epoch": 18.71, + "learning_rate": 2.2832284041623597e-05, + "loss": 1.5849, + "step": 1960 + }, + { + "epoch": 18.72, + "learning_rate": 2.2816868406791673e-05, + "loss": 1.662, + "step": 1961 + }, + { + "epoch": 18.73, + "learning_rate": 2.2801451064387048e-05, + "loss": 1.5935, + "step": 1962 + }, + { + "epoch": 18.74, + "learning_rate": 2.2786032023755635e-05, + "loss": 1.414, + "step": 1963 + }, + { + "epoch": 18.75, + "learning_rate": 2.27706112942444e-05, + "loss": 1.4471, + "step": 1964 + }, + { + "epoch": 18.76, + "learning_rate": 2.27551888852013e-05, + "loss": 1.5038, + "step": 1965 + }, + { + "epoch": 18.77, + "learning_rate": 2.2739764805975343e-05, + "loss": 1.5838, + "step": 1966 + }, + { + "epoch": 18.78, + "learning_rate": 2.272433906591652e-05, + "loss": 1.6108, + "step": 1967 + }, + { + "epoch": 18.79, + "learning_rate": 2.2708911674375864e-05, + "loss": 1.5713, + "step": 1968 + }, + { + "epoch": 18.8, + "learning_rate": 2.2693482640705377e-05, + "loss": 2.1799, + "step": 1969 + }, + { + "epoch": 18.81, + "learning_rate": 2.2678051974258067e-05, + "loss": 1.8421, + "step": 1970 + }, + { + "epoch": 18.82, + "learning_rate": 2.2662619684387938e-05, + "loss": 1.613, + "step": 1971 + }, + { + "epoch": 18.83, + "learning_rate": 2.2647185780449972e-05, + "loss": 1.549, + "step": 1972 + }, + { + "epoch": 18.84, + "learning_rate": 2.2631750271800126e-05, + "loss": 1.6281, + "step": 1973 + }, + { + "epoch": 18.84, + "learning_rate": 2.2616313167795344e-05, + "loss": 1.4721, + "step": 1974 + }, + { + "epoch": 18.85, + "learning_rate": 2.2600874477793516e-05, + "loss": 1.5875, + "step": 1975 + }, + { + "epoch": 18.86, + "learning_rate": 2.2585434211153515e-05, + "loss": 1.7286, + "step": 1976 + }, + { + "epoch": 18.87, + "learning_rate": 2.2569992377235163e-05, + "loss": 1.2174, + "step": 1977 + }, + { + "epoch": 18.88, + "learning_rate": 2.255454898539921e-05, + "loss": 1.4628, + "step": 1978 + }, + { + "epoch": 18.89, + "learning_rate": 2.253910404500739e-05, + "loss": 1.3871, + "step": 1979 + }, + { + "epoch": 18.9, + "learning_rate": 2.2523657565422344e-05, + "loss": 1.5449, + "step": 1980 + }, + { + "epoch": 18.91, + "learning_rate": 2.250820955600766e-05, + "loss": 1.7845, + "step": 1981 + }, + { + "epoch": 18.92, + "learning_rate": 2.249276002612785e-05, + "loss": 1.9458, + "step": 1982 + }, + { + "epoch": 18.93, + "learning_rate": 2.2477308985148348e-05, + "loss": 1.7966, + "step": 1983 + }, + { + "epoch": 18.94, + "learning_rate": 2.2461856442435502e-05, + "loss": 1.3651, + "step": 1984 + }, + { + "epoch": 18.95, + "learning_rate": 2.2446402407356577e-05, + "loss": 1.4341, + "step": 1985 + }, + { + "epoch": 18.96, + "learning_rate": 2.2430946889279737e-05, + "loss": 1.4448, + "step": 1986 + }, + { + "epoch": 18.97, + "learning_rate": 2.2415489897574047e-05, + "loss": 1.2733, + "step": 1987 + }, + { + "epoch": 18.98, + "learning_rate": 2.2400031441609454e-05, + "loss": 1.0902, + "step": 1988 + }, + { + "epoch": 18.99, + "learning_rate": 2.2384571530756814e-05, + "loss": 1.6331, + "step": 1989 + }, + { + "epoch": 19.0, + "learning_rate": 2.2369110174387854e-05, + "loss": 1.56, + "step": 1990 + }, + { + "epoch": 19.01, + "learning_rate": 2.235364738187518e-05, + "loss": 1.919, + "step": 1991 + }, + { + "epoch": 19.02, + "learning_rate": 2.2338183162592256e-05, + "loss": 1.4982, + "step": 1992 + }, + { + "epoch": 19.03, + "learning_rate": 2.232271752591342e-05, + "loss": 1.4311, + "step": 1993 + }, + { + "epoch": 19.04, + "learning_rate": 2.2307250481213884e-05, + "loss": 1.3946, + "step": 1994 + }, + { + "epoch": 19.05, + "learning_rate": 2.2291782037869684e-05, + "loss": 1.7442, + "step": 1995 + }, + { + "epoch": 19.05, + "learning_rate": 2.227631220525773e-05, + "loss": 1.2936, + "step": 1996 + }, + { + "epoch": 19.06, + "learning_rate": 2.2260840992755765e-05, + "loss": 1.8694, + "step": 1997 + }, + { + "epoch": 19.07, + "learning_rate": 2.2245368409742357e-05, + "loss": 1.7031, + "step": 1998 + }, + { + "epoch": 19.08, + "learning_rate": 2.222989446559692e-05, + "loss": 1.4699, + "step": 1999 + }, + { + "epoch": 19.09, + "learning_rate": 2.221441916969969e-05, + "loss": 1.5158, + "step": 2000 + }, + { + "epoch": 19.1, + "learning_rate": 2.2198942531431714e-05, + "loss": 1.1724, + "step": 2001 + }, + { + "epoch": 19.11, + "learning_rate": 2.2183464560174865e-05, + "loss": 1.7464, + "step": 2002 + }, + { + "epoch": 19.12, + "learning_rate": 2.2167985265311818e-05, + "loss": 1.5075, + "step": 2003 + }, + { + "epoch": 19.13, + "learning_rate": 2.2152504656226053e-05, + "loss": 1.6495, + "step": 2004 + }, + { + "epoch": 19.14, + "learning_rate": 2.2137022742301838e-05, + "loss": 1.3268, + "step": 2005 + }, + { + "epoch": 19.15, + "learning_rate": 2.2121539532924238e-05, + "loss": 1.5035, + "step": 2006 + }, + { + "epoch": 19.16, + "learning_rate": 2.2106055037479102e-05, + "loss": 1.6231, + "step": 2007 + }, + { + "epoch": 19.17, + "learning_rate": 2.209056926535307e-05, + "loss": 1.7987, + "step": 2008 + }, + { + "epoch": 19.18, + "learning_rate": 2.207508222593354e-05, + "loss": 1.4956, + "step": 2009 + }, + { + "epoch": 19.19, + "learning_rate": 2.205959392860868e-05, + "loss": 1.655, + "step": 2010 + }, + { + "epoch": 19.2, + "learning_rate": 2.204410438276744e-05, + "loss": 1.428, + "step": 2011 + }, + { + "epoch": 19.21, + "learning_rate": 2.202861359779949e-05, + "loss": 1.4285, + "step": 2012 + }, + { + "epoch": 19.22, + "learning_rate": 2.201312158309529e-05, + "loss": 1.7496, + "step": 2013 + }, + { + "epoch": 19.23, + "learning_rate": 2.1997628348046015e-05, + "loss": 1.6075, + "step": 2014 + }, + { + "epoch": 19.24, + "learning_rate": 2.1982133902043605e-05, + "loss": 1.3263, + "step": 2015 + }, + { + "epoch": 19.25, + "learning_rate": 2.1966638254480713e-05, + "loss": 1.6539, + "step": 2016 + }, + { + "epoch": 19.26, + "learning_rate": 2.195114141475074e-05, + "loss": 1.9489, + "step": 2017 + }, + { + "epoch": 19.26, + "learning_rate": 2.193564339224779e-05, + "loss": 1.6455, + "step": 2018 + }, + { + "epoch": 19.27, + "learning_rate": 2.192014419636669e-05, + "loss": 1.5185, + "step": 2019 + }, + { + "epoch": 19.28, + "learning_rate": 2.1904643836502997e-05, + "loss": 1.5523, + "step": 2020 + }, + { + "epoch": 19.29, + "learning_rate": 2.188914232205294e-05, + "loss": 1.2684, + "step": 2021 + }, + { + "epoch": 19.3, + "learning_rate": 2.1873639662413473e-05, + "loss": 1.5666, + "step": 2022 + }, + { + "epoch": 19.31, + "learning_rate": 2.1858135866982243e-05, + "loss": 1.8229, + "step": 2023 + }, + { + "epoch": 19.32, + "learning_rate": 2.1842630945157572e-05, + "loss": 1.5063, + "step": 2024 + }, + { + "epoch": 19.33, + "learning_rate": 2.1827124906338483e-05, + "loss": 1.6609, + "step": 2025 + }, + { + "epoch": 19.34, + "learning_rate": 2.181161775992465e-05, + "loss": 1.5321, + "step": 2026 + }, + { + "epoch": 19.35, + "learning_rate": 2.1796109515316445e-05, + "loss": 1.8181, + "step": 2027 + }, + { + "epoch": 19.36, + "learning_rate": 2.1780600181914887e-05, + "loss": 1.6743, + "step": 2028 + }, + { + "epoch": 19.37, + "learning_rate": 2.1765089769121674e-05, + "loss": 1.5287, + "step": 2029 + }, + { + "epoch": 19.38, + "learning_rate": 2.1749578286339138e-05, + "loss": 1.3871, + "step": 2030 + }, + { + "epoch": 19.39, + "learning_rate": 2.1734065742970274e-05, + "loss": 2.1786, + "step": 2031 + }, + { + "epoch": 19.4, + "learning_rate": 2.1718552148418707e-05, + "loss": 1.4472, + "step": 2032 + }, + { + "epoch": 19.41, + "learning_rate": 2.1703037512088713e-05, + "loss": 1.4796, + "step": 2033 + }, + { + "epoch": 19.42, + "learning_rate": 2.1687521843385192e-05, + "loss": 1.5038, + "step": 2034 + }, + { + "epoch": 19.43, + "learning_rate": 2.167200515171367e-05, + "loss": 1.7611, + "step": 2035 + }, + { + "epoch": 19.44, + "learning_rate": 2.1656487446480295e-05, + "loss": 1.2831, + "step": 2036 + }, + { + "epoch": 19.45, + "learning_rate": 2.1640968737091832e-05, + "loss": 1.3912, + "step": 2037 + }, + { + "epoch": 19.46, + "learning_rate": 2.1625449032955652e-05, + "loss": 1.8937, + "step": 2038 + }, + { + "epoch": 19.47, + "learning_rate": 2.1609928343479725e-05, + "loss": 1.6109, + "step": 2039 + }, + { + "epoch": 19.47, + "learning_rate": 2.1594406678072616e-05, + "loss": 1.3756, + "step": 2040 + }, + { + "epoch": 19.48, + "learning_rate": 2.1578884046143496e-05, + "loss": 1.4513, + "step": 2041 + }, + { + "epoch": 19.49, + "learning_rate": 2.156336045710211e-05, + "loss": 1.5382, + "step": 2042 + }, + { + "epoch": 19.5, + "learning_rate": 2.1547835920358787e-05, + "loss": 1.4344, + "step": 2043 + }, + { + "epoch": 19.51, + "learning_rate": 2.1532310445324432e-05, + "loss": 1.628, + "step": 2044 + }, + { + "epoch": 19.52, + "learning_rate": 2.1516784041410516e-05, + "loss": 1.6818, + "step": 2045 + }, + { + "epoch": 19.53, + "learning_rate": 2.150125671802907e-05, + "loss": 1.6018, + "step": 2046 + }, + { + "epoch": 19.54, + "learning_rate": 2.148572848459269e-05, + "loss": 1.9328, + "step": 2047 + }, + { + "epoch": 19.55, + "learning_rate": 2.1470199350514513e-05, + "loss": 1.8448, + "step": 2048 + }, + { + "epoch": 19.56, + "learning_rate": 2.1454669325208236e-05, + "loss": 1.5391, + "step": 2049 + }, + { + "epoch": 19.57, + "learning_rate": 2.1439138418088094e-05, + "loss": 1.331, + "step": 2050 + }, + { + "epoch": 19.58, + "learning_rate": 2.1423606638568844e-05, + "loss": 1.7967, + "step": 2051 + }, + { + "epoch": 19.59, + "learning_rate": 2.140807399606578e-05, + "loss": 1.4829, + "step": 2052 + }, + { + "epoch": 19.6, + "learning_rate": 2.1392540499994718e-05, + "loss": 1.71, + "step": 2053 + }, + { + "epoch": 19.61, + "learning_rate": 2.1377006159771988e-05, + "loss": 1.4711, + "step": 2054 + }, + { + "epoch": 19.62, + "learning_rate": 2.136147098481445e-05, + "loss": 1.4984, + "step": 2055 + }, + { + "epoch": 19.63, + "learning_rate": 2.1345934984539444e-05, + "loss": 1.4128, + "step": 2056 + }, + { + "epoch": 19.64, + "learning_rate": 2.1330398168364823e-05, + "loss": 1.6092, + "step": 2057 + }, + { + "epoch": 19.65, + "learning_rate": 2.1314860545708944e-05, + "loss": 1.9022, + "step": 2058 + }, + { + "epoch": 19.66, + "learning_rate": 2.1299322125990623e-05, + "loss": 1.6861, + "step": 2059 + }, + { + "epoch": 19.67, + "learning_rate": 2.1283782918629195e-05, + "loss": 1.8001, + "step": 2060 + }, + { + "epoch": 19.68, + "learning_rate": 2.126824293304445e-05, + "loss": 1.7529, + "step": 2061 + }, + { + "epoch": 19.68, + "learning_rate": 2.1252702178656656e-05, + "loss": 2.1322, + "step": 2062 + }, + { + "epoch": 19.69, + "learning_rate": 2.123716066488655e-05, + "loss": 1.7293, + "step": 2063 + }, + { + "epoch": 19.7, + "learning_rate": 2.1221618401155325e-05, + "loss": 1.4073, + "step": 2064 + }, + { + "epoch": 19.71, + "learning_rate": 2.120607539688463e-05, + "loss": 1.3429, + "step": 2065 + }, + { + "epoch": 19.72, + "learning_rate": 2.1190531661496565e-05, + "loss": 1.9693, + "step": 2066 + }, + { + "epoch": 19.73, + "learning_rate": 2.1174987204413662e-05, + "loss": 1.5199, + "step": 2067 + }, + { + "epoch": 19.74, + "learning_rate": 2.115944203505891e-05, + "loss": 1.572, + "step": 2068 + }, + { + "epoch": 19.75, + "learning_rate": 2.1143896162855713e-05, + "loss": 1.7873, + "step": 2069 + }, + { + "epoch": 19.76, + "learning_rate": 2.1128349597227915e-05, + "loss": 1.4575, + "step": 2070 + }, + { + "epoch": 19.77, + "learning_rate": 2.1112802347599764e-05, + "loss": 1.9235, + "step": 2071 + }, + { + "epoch": 19.78, + "learning_rate": 2.1097254423395937e-05, + "loss": 1.49, + "step": 2072 + }, + { + "epoch": 19.79, + "learning_rate": 2.1081705834041507e-05, + "loss": 1.3529, + "step": 2073 + }, + { + "epoch": 19.8, + "learning_rate": 2.106615658896197e-05, + "loss": 1.4954, + "step": 2074 + }, + { + "epoch": 19.81, + "learning_rate": 2.1050606697583197e-05, + "loss": 1.5733, + "step": 2075 + }, + { + "epoch": 19.82, + "learning_rate": 2.103505616933146e-05, + "loss": 1.7504, + "step": 2076 + }, + { + "epoch": 19.83, + "learning_rate": 2.1019505013633427e-05, + "loss": 1.3657, + "step": 2077 + }, + { + "epoch": 19.84, + "learning_rate": 2.1003953239916125e-05, + "loss": 1.438, + "step": 2078 + }, + { + "epoch": 19.85, + "learning_rate": 2.0988400857606982e-05, + "loss": 1.2855, + "step": 2079 + }, + { + "epoch": 19.86, + "learning_rate": 2.0972847876133776e-05, + "loss": 1.7313, + "step": 2080 + }, + { + "epoch": 19.87, + "learning_rate": 2.095729430492464e-05, + "loss": 1.4443, + "step": 2081 + }, + { + "epoch": 19.88, + "learning_rate": 2.0941740153408095e-05, + "loss": 1.4381, + "step": 2082 + }, + { + "epoch": 19.89, + "learning_rate": 2.0926185431012985e-05, + "loss": 1.708, + "step": 2083 + }, + { + "epoch": 19.89, + "learning_rate": 2.091063014716852e-05, + "loss": 1.5783, + "step": 2084 + }, + { + "epoch": 19.9, + "learning_rate": 2.089507431130424e-05, + "loss": 1.5714, + "step": 2085 + }, + { + "epoch": 19.91, + "learning_rate": 2.0879517932850018e-05, + "loss": 1.3688, + "step": 2086 + }, + { + "epoch": 19.92, + "learning_rate": 2.0863961021236053e-05, + "loss": 1.7495, + "step": 2087 + }, + { + "epoch": 19.93, + "learning_rate": 2.0848403585892886e-05, + "loss": 1.3422, + "step": 2088 + }, + { + "epoch": 19.94, + "learning_rate": 2.083284563625136e-05, + "loss": 1.661, + "step": 2089 + }, + { + "epoch": 19.95, + "learning_rate": 2.0817287181742624e-05, + "loss": 1.6731, + "step": 2090 + }, + { + "epoch": 19.96, + "learning_rate": 2.080172823179815e-05, + "loss": 1.3708, + "step": 2091 + }, + { + "epoch": 19.97, + "learning_rate": 2.0786168795849697e-05, + "loss": 1.3586, + "step": 2092 + }, + { + "epoch": 19.98, + "learning_rate": 2.0770608883329335e-05, + "loss": 1.5536, + "step": 2093 + }, + { + "epoch": 19.99, + "learning_rate": 2.0755048503669397e-05, + "loss": 1.4956, + "step": 2094 + }, + { + "epoch": 20.0, + "learning_rate": 2.073948766630252e-05, + "loss": 1.6249, + "step": 2095 + }, + { + "epoch": 20.01, + "learning_rate": 2.0723926380661612e-05, + "loss": 1.4322, + "step": 2096 + }, + { + "epoch": 20.02, + "learning_rate": 2.070836465617985e-05, + "loss": 1.5464, + "step": 2097 + }, + { + "epoch": 20.03, + "learning_rate": 2.069280250229069e-05, + "loss": 1.7179, + "step": 2098 + }, + { + "epoch": 20.04, + "learning_rate": 2.0677239928427832e-05, + "loss": 1.172, + "step": 2099 + }, + { + "epoch": 20.05, + "learning_rate": 2.0661676944025233e-05, + "loss": 1.3673, + "step": 2100 + }, + { + "epoch": 20.06, + "learning_rate": 2.06461135585171e-05, + "loss": 1.6115, + "step": 2101 + }, + { + "epoch": 20.07, + "learning_rate": 2.0630549781337904e-05, + "loss": 1.9836, + "step": 2102 + }, + { + "epoch": 20.08, + "learning_rate": 2.0614985621922314e-05, + "loss": 1.4617, + "step": 2103 + }, + { + "epoch": 20.09, + "learning_rate": 2.0599421089705264e-05, + "loss": 1.6105, + "step": 2104 + }, + { + "epoch": 20.1, + "learning_rate": 2.05838561941219e-05, + "loss": 1.7223, + "step": 2105 + }, + { + "epoch": 20.11, + "learning_rate": 2.0568290944607596e-05, + "loss": 1.4894, + "step": 2106 + }, + { + "epoch": 20.11, + "learning_rate": 2.0552725350597917e-05, + "loss": 1.3827, + "step": 2107 + }, + { + "epoch": 20.12, + "learning_rate": 2.053715942152867e-05, + "loss": 1.5141, + "step": 2108 + }, + { + "epoch": 20.13, + "learning_rate": 2.052159316683585e-05, + "loss": 1.7696, + "step": 2109 + }, + { + "epoch": 20.14, + "learning_rate": 2.050602659595564e-05, + "loss": 1.2083, + "step": 2110 + }, + { + "epoch": 20.15, + "learning_rate": 2.0490459718324432e-05, + "loss": 1.1804, + "step": 2111 + }, + { + "epoch": 20.16, + "learning_rate": 2.047489254337879e-05, + "loss": 1.2626, + "step": 2112 + }, + { + "epoch": 20.17, + "learning_rate": 2.0459325080555473e-05, + "loss": 1.597, + "step": 2113 + }, + { + "epoch": 20.18, + "learning_rate": 2.0443757339291395e-05, + "loss": 1.6255, + "step": 2114 + }, + { + "epoch": 20.19, + "learning_rate": 2.0428189329023652e-05, + "loss": 1.6546, + "step": 2115 + }, + { + "epoch": 20.2, + "learning_rate": 2.0412621059189503e-05, + "loss": 1.6551, + "step": 2116 + }, + { + "epoch": 20.21, + "learning_rate": 2.0397052539226362e-05, + "loss": 1.2773, + "step": 2117 + }, + { + "epoch": 20.22, + "learning_rate": 2.0381483778571792e-05, + "loss": 1.3574, + "step": 2118 + }, + { + "epoch": 20.23, + "learning_rate": 2.0365914786663512e-05, + "loss": 1.6483, + "step": 2119 + }, + { + "epoch": 20.24, + "learning_rate": 2.035034557293936e-05, + "loss": 1.3532, + "step": 2120 + }, + { + "epoch": 20.25, + "learning_rate": 2.033477614683733e-05, + "loss": 1.5954, + "step": 2121 + }, + { + "epoch": 20.26, + "learning_rate": 2.0319206517795537e-05, + "loss": 1.3096, + "step": 2122 + }, + { + "epoch": 20.27, + "learning_rate": 2.0303636695252217e-05, + "loss": 1.4244, + "step": 2123 + }, + { + "epoch": 20.28, + "learning_rate": 2.0288066688645728e-05, + "loss": 1.6646, + "step": 2124 + }, + { + "epoch": 20.29, + "learning_rate": 2.0272496507414533e-05, + "loss": 1.5699, + "step": 2125 + }, + { + "epoch": 20.3, + "learning_rate": 2.0256926160997203e-05, + "loss": 1.3446, + "step": 2126 + }, + { + "epoch": 20.31, + "learning_rate": 2.024135565883241e-05, + "loss": 1.6686, + "step": 2127 + }, + { + "epoch": 20.32, + "learning_rate": 2.0225785010358933e-05, + "loss": 1.7363, + "step": 2128 + }, + { + "epoch": 20.32, + "learning_rate": 2.0210214225015607e-05, + "loss": 1.7121, + "step": 2129 + }, + { + "epoch": 20.33, + "learning_rate": 2.0194643312241392e-05, + "loss": 1.3719, + "step": 2130 + }, + { + "epoch": 20.34, + "learning_rate": 2.0179072281475287e-05, + "loss": 1.5433, + "step": 2131 + }, + { + "epoch": 20.35, + "learning_rate": 2.016350114215639e-05, + "loss": 1.5172, + "step": 2132 + }, + { + "epoch": 20.36, + "learning_rate": 2.014792990372385e-05, + "loss": 1.7098, + "step": 2133 + }, + { + "epoch": 20.37, + "learning_rate": 2.0132358575616885e-05, + "loss": 1.7457, + "step": 2134 + }, + { + "epoch": 20.38, + "learning_rate": 2.011678716727475e-05, + "loss": 1.8878, + "step": 2135 + }, + { + "epoch": 20.39, + "learning_rate": 2.0101215688136774e-05, + "loss": 1.9205, + "step": 2136 + }, + { + "epoch": 20.4, + "learning_rate": 2.0085644147642315e-05, + "loss": 1.6121, + "step": 2137 + }, + { + "epoch": 20.41, + "learning_rate": 2.0070072555230764e-05, + "loss": 1.3761, + "step": 2138 + }, + { + "epoch": 20.42, + "learning_rate": 2.0054500920341547e-05, + "loss": 1.3624, + "step": 2139 + }, + { + "epoch": 20.43, + "learning_rate": 2.0038929252414136e-05, + "loss": 1.7097, + "step": 2140 + }, + { + "epoch": 20.44, + "learning_rate": 2.002335756088798e-05, + "loss": 1.9451, + "step": 2141 + }, + { + "epoch": 20.45, + "learning_rate": 2.0007785855202577e-05, + "loss": 1.5347, + "step": 2142 + }, + { + "epoch": 20.46, + "learning_rate": 1.999221414479743e-05, + "loss": 1.5063, + "step": 2143 + }, + { + "epoch": 20.47, + "learning_rate": 1.9976642439112027e-05, + "loss": 1.5959, + "step": 2144 + }, + { + "epoch": 20.48, + "learning_rate": 1.996107074758587e-05, + "loss": 1.665, + "step": 2145 + }, + { + "epoch": 20.49, + "learning_rate": 1.994549907965845e-05, + "loss": 1.5139, + "step": 2146 + }, + { + "epoch": 20.5, + "learning_rate": 1.992992744476924e-05, + "loss": 1.47, + "step": 2147 + }, + { + "epoch": 20.51, + "learning_rate": 1.9914355852357688e-05, + "loss": 1.8611, + "step": 2148 + }, + { + "epoch": 20.52, + "learning_rate": 1.9898784311863226e-05, + "loss": 1.6086, + "step": 2149 + }, + { + "epoch": 20.53, + "learning_rate": 1.988321283272526e-05, + "loss": 1.7381, + "step": 2150 + }, + { + "epoch": 20.53, + "learning_rate": 1.986764142438313e-05, + "loss": 1.6229, + "step": 2151 + }, + { + "epoch": 20.54, + "learning_rate": 1.985207009627616e-05, + "loss": 1.7679, + "step": 2152 + }, + { + "epoch": 20.55, + "learning_rate": 1.983649885784362e-05, + "loss": 1.4012, + "step": 2153 + }, + { + "epoch": 20.56, + "learning_rate": 1.982092771852472e-05, + "loss": 1.6003, + "step": 2154 + }, + { + "epoch": 20.57, + "learning_rate": 1.9805356687758618e-05, + "loss": 1.2749, + "step": 2155 + }, + { + "epoch": 20.58, + "learning_rate": 1.9789785774984396e-05, + "loss": 1.3781, + "step": 2156 + }, + { + "epoch": 20.59, + "learning_rate": 1.9774214989641077e-05, + "loss": 1.5511, + "step": 2157 + }, + { + "epoch": 20.6, + "learning_rate": 1.9758644341167596e-05, + "loss": 1.5551, + "step": 2158 + }, + { + "epoch": 20.61, + "learning_rate": 1.9743073839002807e-05, + "loss": 1.6239, + "step": 2159 + }, + { + "epoch": 20.62, + "learning_rate": 1.9727503492585477e-05, + "loss": 1.8501, + "step": 2160 + }, + { + "epoch": 20.63, + "learning_rate": 1.971193331135428e-05, + "loss": 1.6105, + "step": 2161 + }, + { + "epoch": 20.64, + "learning_rate": 1.9696363304747786e-05, + "loss": 1.6567, + "step": 2162 + }, + { + "epoch": 20.65, + "learning_rate": 1.968079348220447e-05, + "loss": 1.4222, + "step": 2163 + }, + { + "epoch": 20.66, + "learning_rate": 1.9665223853162673e-05, + "loss": 1.6832, + "step": 2164 + }, + { + "epoch": 20.67, + "learning_rate": 1.9649654427060646e-05, + "loss": 1.6838, + "step": 2165 + }, + { + "epoch": 20.68, + "learning_rate": 1.9634085213336498e-05, + "loss": 1.6298, + "step": 2166 + }, + { + "epoch": 20.69, + "learning_rate": 1.961851622142821e-05, + "loss": 1.6966, + "step": 2167 + }, + { + "epoch": 20.7, + "learning_rate": 1.960294746077364e-05, + "loss": 1.5156, + "step": 2168 + }, + { + "epoch": 20.71, + "learning_rate": 1.95873789408105e-05, + "loss": 1.3088, + "step": 2169 + }, + { + "epoch": 20.72, + "learning_rate": 1.9571810670976355e-05, + "loss": 1.5737, + "step": 2170 + }, + { + "epoch": 20.73, + "learning_rate": 1.9556242660708612e-05, + "loss": 1.8201, + "step": 2171 + }, + { + "epoch": 20.74, + "learning_rate": 1.9540674919444533e-05, + "loss": 1.2383, + "step": 2172 + }, + { + "epoch": 20.74, + "learning_rate": 1.9525107456621214e-05, + "loss": 1.4108, + "step": 2173 + }, + { + "epoch": 20.75, + "learning_rate": 1.950954028167557e-05, + "loss": 1.5006, + "step": 2174 + }, + { + "epoch": 20.76, + "learning_rate": 1.949397340404436e-05, + "loss": 1.6324, + "step": 2175 + }, + { + "epoch": 20.77, + "learning_rate": 1.9478406833164154e-05, + "loss": 1.7764, + "step": 2176 + }, + { + "epoch": 20.78, + "learning_rate": 1.9462840578471338e-05, + "loss": 1.5894, + "step": 2177 + }, + { + "epoch": 20.79, + "learning_rate": 1.9447274649402093e-05, + "loss": 1.3269, + "step": 2178 + }, + { + "epoch": 20.8, + "learning_rate": 1.9431709055392418e-05, + "loss": 1.5497, + "step": 2179 + }, + { + "epoch": 20.81, + "learning_rate": 1.9416143805878106e-05, + "loss": 1.2604, + "step": 2180 + }, + { + "epoch": 20.82, + "learning_rate": 1.9400578910294743e-05, + "loss": 1.3627, + "step": 2181 + }, + { + "epoch": 20.83, + "learning_rate": 1.9385014378077693e-05, + "loss": 1.2967, + "step": 2182 + }, + { + "epoch": 20.84, + "learning_rate": 1.9369450218662106e-05, + "loss": 1.5703, + "step": 2183 + }, + { + "epoch": 20.85, + "learning_rate": 1.9353886441482903e-05, + "loss": 1.3604, + "step": 2184 + }, + { + "epoch": 20.86, + "learning_rate": 1.9338323055974773e-05, + "loss": 1.9312, + "step": 2185 + }, + { + "epoch": 20.87, + "learning_rate": 1.9322760071572175e-05, + "loss": 1.3547, + "step": 2186 + }, + { + "epoch": 20.88, + "learning_rate": 1.930719749770931e-05, + "loss": 1.3831, + "step": 2187 + }, + { + "epoch": 20.89, + "learning_rate": 1.929163534382015e-05, + "loss": 1.6534, + "step": 2188 + }, + { + "epoch": 20.9, + "learning_rate": 1.9276073619338395e-05, + "loss": 1.4285, + "step": 2189 + }, + { + "epoch": 20.91, + "learning_rate": 1.9260512333697492e-05, + "loss": 1.8141, + "step": 2190 + }, + { + "epoch": 20.92, + "learning_rate": 1.9244951496330616e-05, + "loss": 1.2735, + "step": 2191 + }, + { + "epoch": 20.93, + "learning_rate": 1.922939111667068e-05, + "loss": 1.6, + "step": 2192 + }, + { + "epoch": 20.94, + "learning_rate": 1.921383120415031e-05, + "loss": 1.5299, + "step": 2193 + }, + { + "epoch": 20.95, + "learning_rate": 1.9198271768201857e-05, + "loss": 1.344, + "step": 2194 + }, + { + "epoch": 20.95, + "learning_rate": 1.9182712818257383e-05, + "loss": 1.499, + "step": 2195 + }, + { + "epoch": 20.96, + "learning_rate": 1.916715436374865e-05, + "loss": 1.6506, + "step": 2196 + }, + { + "epoch": 20.97, + "learning_rate": 1.915159641410712e-05, + "loss": 2.1004, + "step": 2197 + }, + { + "epoch": 20.98, + "learning_rate": 1.913603897876395e-05, + "loss": 1.5991, + "step": 2198 + }, + { + "epoch": 20.99, + "learning_rate": 1.912048206714999e-05, + "loss": 1.6462, + "step": 2199 + }, + { + "epoch": 21.0, + "learning_rate": 1.9104925688695766e-05, + "loss": 1.6169, + "step": 2200 + }, + { + "epoch": 21.01, + "learning_rate": 1.908936985283148e-05, + "loss": 1.4872, + "step": 2201 + }, + { + "epoch": 21.02, + "learning_rate": 1.907381456898701e-05, + "loss": 1.5135, + "step": 2202 + }, + { + "epoch": 21.03, + "learning_rate": 1.9058259846591905e-05, + "loss": 1.1838, + "step": 2203 + }, + { + "epoch": 21.04, + "learning_rate": 1.904270569507537e-05, + "loss": 1.8702, + "step": 2204 + }, + { + "epoch": 21.05, + "learning_rate": 1.9027152123866238e-05, + "loss": 1.6824, + "step": 2205 + }, + { + "epoch": 21.06, + "learning_rate": 1.9011599142393025e-05, + "loss": 1.5891, + "step": 2206 + }, + { + "epoch": 21.07, + "learning_rate": 1.899604676008388e-05, + "loss": 1.4911, + "step": 2207 + }, + { + "epoch": 21.08, + "learning_rate": 1.8980494986366583e-05, + "loss": 1.6254, + "step": 2208 + }, + { + "epoch": 21.09, + "learning_rate": 1.8964943830668545e-05, + "loss": 1.4295, + "step": 2209 + }, + { + "epoch": 21.1, + "learning_rate": 1.8949393302416813e-05, + "loss": 1.3704, + "step": 2210 + }, + { + "epoch": 21.11, + "learning_rate": 1.8933843411038038e-05, + "loss": 1.5936, + "step": 2211 + }, + { + "epoch": 21.12, + "learning_rate": 1.8918294165958496e-05, + "loss": 1.362, + "step": 2212 + }, + { + "epoch": 21.13, + "learning_rate": 1.890274557660407e-05, + "loss": 1.4803, + "step": 2213 + }, + { + "epoch": 21.14, + "learning_rate": 1.888719765240024e-05, + "loss": 1.5196, + "step": 2214 + }, + { + "epoch": 21.15, + "learning_rate": 1.887165040277209e-05, + "loss": 1.5422, + "step": 2215 + }, + { + "epoch": 21.16, + "learning_rate": 1.8856103837144287e-05, + "loss": 1.5012, + "step": 2216 + }, + { + "epoch": 21.16, + "learning_rate": 1.88405579649411e-05, + "loss": 1.5574, + "step": 2217 + }, + { + "epoch": 21.17, + "learning_rate": 1.8825012795586348e-05, + "loss": 1.4939, + "step": 2218 + }, + { + "epoch": 21.18, + "learning_rate": 1.8809468338503445e-05, + "loss": 1.559, + "step": 2219 + }, + { + "epoch": 21.19, + "learning_rate": 1.8793924603115375e-05, + "loss": 1.3207, + "step": 2220 + }, + { + "epoch": 21.2, + "learning_rate": 1.877838159884468e-05, + "loss": 1.4796, + "step": 2221 + }, + { + "epoch": 21.21, + "learning_rate": 1.8762839335113454e-05, + "loss": 1.4068, + "step": 2222 + }, + { + "epoch": 21.22, + "learning_rate": 1.874729782134335e-05, + "loss": 1.2925, + "step": 2223 + }, + { + "epoch": 21.23, + "learning_rate": 1.8731757066955557e-05, + "loss": 1.2989, + "step": 2224 + }, + { + "epoch": 21.24, + "learning_rate": 1.871621708137081e-05, + "loss": 1.3097, + "step": 2225 + }, + { + "epoch": 21.25, + "learning_rate": 1.870067787400938e-05, + "loss": 1.2782, + "step": 2226 + }, + { + "epoch": 21.26, + "learning_rate": 1.8685139454291063e-05, + "loss": 1.2836, + "step": 2227 + }, + { + "epoch": 21.27, + "learning_rate": 1.8669601831635184e-05, + "loss": 1.9537, + "step": 2228 + }, + { + "epoch": 21.28, + "learning_rate": 1.865406501546056e-05, + "loss": 1.9396, + "step": 2229 + }, + { + "epoch": 21.29, + "learning_rate": 1.8638529015185553e-05, + "loss": 1.7575, + "step": 2230 + }, + { + "epoch": 21.3, + "learning_rate": 1.8622993840228015e-05, + "loss": 1.7564, + "step": 2231 + }, + { + "epoch": 21.31, + "learning_rate": 1.8607459500005292e-05, + "loss": 1.7836, + "step": 2232 + }, + { + "epoch": 21.32, + "learning_rate": 1.859192600393423e-05, + "loss": 1.6943, + "step": 2233 + }, + { + "epoch": 21.33, + "learning_rate": 1.8576393361431162e-05, + "loss": 1.3956, + "step": 2234 + }, + { + "epoch": 21.34, + "learning_rate": 1.8560861581911913e-05, + "loss": 1.2419, + "step": 2235 + }, + { + "epoch": 21.35, + "learning_rate": 1.8545330674791768e-05, + "loss": 1.7248, + "step": 2236 + }, + { + "epoch": 21.36, + "learning_rate": 1.852980064948549e-05, + "loss": 1.1733, + "step": 2237 + }, + { + "epoch": 21.37, + "learning_rate": 1.8514271515407318e-05, + "loss": 1.797, + "step": 2238 + }, + { + "epoch": 21.37, + "learning_rate": 1.8498743281970936e-05, + "loss": 1.5744, + "step": 2239 + }, + { + "epoch": 21.38, + "learning_rate": 1.848321595858949e-05, + "loss": 1.7529, + "step": 2240 + }, + { + "epoch": 21.39, + "learning_rate": 1.846768955467557e-05, + "loss": 1.7067, + "step": 2241 + }, + { + "epoch": 21.4, + "learning_rate": 1.8452164079641217e-05, + "loss": 1.3932, + "step": 2242 + }, + { + "epoch": 21.41, + "learning_rate": 1.8436639542897892e-05, + "loss": 1.8114, + "step": 2243 + }, + { + "epoch": 21.42, + "learning_rate": 1.8421115953856504e-05, + "loss": 1.6392, + "step": 2244 + }, + { + "epoch": 21.43, + "learning_rate": 1.8405593321927394e-05, + "loss": 1.597, + "step": 2245 + }, + { + "epoch": 21.44, + "learning_rate": 1.8390071656520288e-05, + "loss": 1.6454, + "step": 2246 + }, + { + "epoch": 21.45, + "learning_rate": 1.8374550967044355e-05, + "loss": 1.7114, + "step": 2247 + }, + { + "epoch": 21.46, + "learning_rate": 1.835903126290817e-05, + "loss": 1.5321, + "step": 2248 + }, + { + "epoch": 21.47, + "learning_rate": 1.8343512553519708e-05, + "loss": 1.4977, + "step": 2249 + }, + { + "epoch": 21.48, + "learning_rate": 1.8327994848286334e-05, + "loss": 1.8077, + "step": 2250 + }, + { + "epoch": 21.49, + "learning_rate": 1.8312478156614814e-05, + "loss": 1.6962, + "step": 2251 + }, + { + "epoch": 21.5, + "learning_rate": 1.8296962487911293e-05, + "loss": 1.656, + "step": 2252 + }, + { + "epoch": 21.51, + "learning_rate": 1.82814478515813e-05, + "loss": 1.4892, + "step": 2253 + }, + { + "epoch": 21.52, + "learning_rate": 1.8265934257029733e-05, + "loss": 1.6038, + "step": 2254 + }, + { + "epoch": 21.53, + "learning_rate": 1.8250421713660865e-05, + "loss": 1.7756, + "step": 2255 + }, + { + "epoch": 21.54, + "learning_rate": 1.823491023087833e-05, + "loss": 1.3729, + "step": 2256 + }, + { + "epoch": 21.55, + "learning_rate": 1.8219399818085113e-05, + "loss": 1.4655, + "step": 2257 + }, + { + "epoch": 21.56, + "learning_rate": 1.8203890484683565e-05, + "loss": 1.4575, + "step": 2258 + }, + { + "epoch": 21.57, + "learning_rate": 1.818838224007536e-05, + "loss": 1.5206, + "step": 2259 + }, + { + "epoch": 21.58, + "learning_rate": 1.8172875093661527e-05, + "loss": 1.8173, + "step": 2260 + }, + { + "epoch": 21.58, + "learning_rate": 1.815736905484243e-05, + "loss": 1.8612, + "step": 2261 + }, + { + "epoch": 21.59, + "learning_rate": 1.814186413301776e-05, + "loss": 1.2859, + "step": 2262 + }, + { + "epoch": 21.6, + "learning_rate": 1.812636033758653e-05, + "loss": 1.6211, + "step": 2263 + }, + { + "epoch": 21.61, + "learning_rate": 1.8110857677947064e-05, + "loss": 1.5788, + "step": 2264 + }, + { + "epoch": 21.62, + "learning_rate": 1.8095356163497013e-05, + "loss": 1.617, + "step": 2265 + }, + { + "epoch": 21.63, + "learning_rate": 1.8079855803633317e-05, + "loss": 1.5893, + "step": 2266 + }, + { + "epoch": 21.64, + "learning_rate": 1.8064356607752217e-05, + "loss": 1.3263, + "step": 2267 + }, + { + "epoch": 21.65, + "learning_rate": 1.8048858585249264e-05, + "loss": 1.7777, + "step": 2268 + }, + { + "epoch": 21.66, + "learning_rate": 1.803336174551929e-05, + "loss": 1.6854, + "step": 2269 + }, + { + "epoch": 21.67, + "learning_rate": 1.80178660979564e-05, + "loss": 1.7025, + "step": 2270 + }, + { + "epoch": 21.68, + "learning_rate": 1.8002371651953985e-05, + "loss": 1.9915, + "step": 2271 + }, + { + "epoch": 21.69, + "learning_rate": 1.798687841690472e-05, + "loss": 1.8689, + "step": 2272 + }, + { + "epoch": 21.7, + "learning_rate": 1.797138640220052e-05, + "loss": 1.5685, + "step": 2273 + }, + { + "epoch": 21.71, + "learning_rate": 1.795589561723257e-05, + "loss": 1.6415, + "step": 2274 + }, + { + "epoch": 21.72, + "learning_rate": 1.7940406071391323e-05, + "loss": 1.5248, + "step": 2275 + }, + { + "epoch": 21.73, + "learning_rate": 1.7924917774066465e-05, + "loss": 1.5908, + "step": 2276 + }, + { + "epoch": 21.74, + "learning_rate": 1.7909430734646936e-05, + "loss": 1.9701, + "step": 2277 + }, + { + "epoch": 21.75, + "learning_rate": 1.78939449625209e-05, + "loss": 1.5747, + "step": 2278 + }, + { + "epoch": 21.76, + "learning_rate": 1.787846046707577e-05, + "loss": 1.3736, + "step": 2279 + }, + { + "epoch": 21.77, + "learning_rate": 1.786297725769817e-05, + "loss": 1.7773, + "step": 2280 + }, + { + "epoch": 21.78, + "learning_rate": 1.7847495343773954e-05, + "loss": 1.4384, + "step": 2281 + }, + { + "epoch": 21.79, + "learning_rate": 1.7832014734688182e-05, + "loss": 1.5591, + "step": 2282 + }, + { + "epoch": 21.79, + "learning_rate": 1.7816535439825135e-05, + "loss": 1.4102, + "step": 2283 + }, + { + "epoch": 21.8, + "learning_rate": 1.7801057468568286e-05, + "loss": 1.6166, + "step": 2284 + }, + { + "epoch": 21.81, + "learning_rate": 1.7785580830300323e-05, + "loss": 1.7626, + "step": 2285 + }, + { + "epoch": 21.82, + "learning_rate": 1.777010553440309e-05, + "loss": 1.9002, + "step": 2286 + }, + { + "epoch": 21.83, + "learning_rate": 1.7754631590257653e-05, + "loss": 1.2919, + "step": 2287 + }, + { + "epoch": 21.84, + "learning_rate": 1.7739159007244245e-05, + "loss": 1.3997, + "step": 2288 + }, + { + "epoch": 21.85, + "learning_rate": 1.7723687794742272e-05, + "loss": 1.7025, + "step": 2289 + }, + { + "epoch": 21.86, + "learning_rate": 1.770821796213032e-05, + "loss": 1.4776, + "step": 2290 + }, + { + "epoch": 21.87, + "learning_rate": 1.7692749518786123e-05, + "loss": 1.5678, + "step": 2291 + }, + { + "epoch": 21.88, + "learning_rate": 1.7677282474086582e-05, + "loss": 1.6687, + "step": 2292 + }, + { + "epoch": 21.89, + "learning_rate": 1.766181683740775e-05, + "loss": 1.3164, + "step": 2293 + }, + { + "epoch": 21.9, + "learning_rate": 1.7646352618124827e-05, + "loss": 1.2713, + "step": 2294 + }, + { + "epoch": 21.91, + "learning_rate": 1.7630889825612146e-05, + "loss": 1.742, + "step": 2295 + }, + { + "epoch": 21.92, + "learning_rate": 1.7615428469243185e-05, + "loss": 1.4517, + "step": 2296 + }, + { + "epoch": 21.93, + "learning_rate": 1.7599968558390553e-05, + "loss": 1.4411, + "step": 2297 + }, + { + "epoch": 21.94, + "learning_rate": 1.7584510102425963e-05, + "loss": 1.6968, + "step": 2298 + }, + { + "epoch": 21.95, + "learning_rate": 1.756905311072027e-05, + "loss": 1.7024, + "step": 2299 + }, + { + "epoch": 21.96, + "learning_rate": 1.755359759264343e-05, + "loss": 1.4962, + "step": 2300 + }, + { + "epoch": 21.97, + "learning_rate": 1.7538143557564504e-05, + "loss": 1.7303, + "step": 2301 + }, + { + "epoch": 21.98, + "learning_rate": 1.752269101485166e-05, + "loss": 1.2358, + "step": 2302 + }, + { + "epoch": 21.99, + "learning_rate": 1.7507239973872154e-05, + "loss": 1.3597, + "step": 2303 + }, + { + "epoch": 22.0, + "learning_rate": 1.7491790443992347e-05, + "loss": 1.4719, + "step": 2304 + }, + { + "epoch": 22.0, + "learning_rate": 1.7476342434577662e-05, + "loss": 1.6307, + "step": 2305 + }, + { + "epoch": 22.01, + "learning_rate": 1.7460895954992616e-05, + "loss": 1.4644, + "step": 2306 + }, + { + "epoch": 22.02, + "learning_rate": 1.744545101460079e-05, + "loss": 1.6151, + "step": 2307 + }, + { + "epoch": 22.03, + "learning_rate": 1.7430007622764844e-05, + "loss": 1.9879, + "step": 2308 + }, + { + "epoch": 22.04, + "learning_rate": 1.7414565788846485e-05, + "loss": 1.4649, + "step": 2309 + }, + { + "epoch": 22.05, + "learning_rate": 1.7399125522206484e-05, + "loss": 1.4175, + "step": 2310 + }, + { + "epoch": 22.06, + "learning_rate": 1.738368683220466e-05, + "loss": 1.7082, + "step": 2311 + }, + { + "epoch": 22.07, + "learning_rate": 1.7368249728199884e-05, + "loss": 1.8698, + "step": 2312 + }, + { + "epoch": 22.08, + "learning_rate": 1.735281421955004e-05, + "loss": 1.6636, + "step": 2313 + }, + { + "epoch": 22.09, + "learning_rate": 1.7337380315612072e-05, + "loss": 1.892, + "step": 2314 + }, + { + "epoch": 22.1, + "learning_rate": 1.732194802574194e-05, + "loss": 1.6168, + "step": 2315 + }, + { + "epoch": 22.11, + "learning_rate": 1.7306517359294633e-05, + "loss": 1.9203, + "step": 2316 + }, + { + "epoch": 22.12, + "learning_rate": 1.7291088325624142e-05, + "loss": 1.5575, + "step": 2317 + }, + { + "epoch": 22.13, + "learning_rate": 1.7275660934083484e-05, + "loss": 1.5673, + "step": 2318 + }, + { + "epoch": 22.14, + "learning_rate": 1.7260235194024667e-05, + "loss": 1.4435, + "step": 2319 + }, + { + "epoch": 22.15, + "learning_rate": 1.7244811114798705e-05, + "loss": 1.5784, + "step": 2320 + }, + { + "epoch": 22.16, + "learning_rate": 1.722938870575561e-05, + "loss": 1.3913, + "step": 2321 + }, + { + "epoch": 22.17, + "learning_rate": 1.7213967976244365e-05, + "loss": 1.5361, + "step": 2322 + }, + { + "epoch": 22.18, + "learning_rate": 1.7198548935612955e-05, + "loss": 1.411, + "step": 2323 + }, + { + "epoch": 22.19, + "learning_rate": 1.718313159320833e-05, + "loss": 1.5553, + "step": 2324 + }, + { + "epoch": 22.2, + "learning_rate": 1.7167715958376407e-05, + "loss": 1.4439, + "step": 2325 + }, + { + "epoch": 22.21, + "learning_rate": 1.7152302040462087e-05, + "loss": 1.4563, + "step": 2326 + }, + { + "epoch": 22.21, + "learning_rate": 1.7136889848809194e-05, + "loss": 1.5282, + "step": 2327 + }, + { + "epoch": 22.22, + "learning_rate": 1.7121479392760543e-05, + "loss": 1.3193, + "step": 2328 + }, + { + "epoch": 22.23, + "learning_rate": 1.710607068165788e-05, + "loss": 1.7875, + "step": 2329 + }, + { + "epoch": 22.24, + "learning_rate": 1.709066372484189e-05, + "loss": 1.3642, + "step": 2330 + }, + { + "epoch": 22.25, + "learning_rate": 1.7075258531652204e-05, + "loss": 1.343, + "step": 2331 + }, + { + "epoch": 22.26, + "learning_rate": 1.7059855111427377e-05, + "loss": 1.4082, + "step": 2332 + }, + { + "epoch": 22.27, + "learning_rate": 1.7044453473504896e-05, + "loss": 1.4109, + "step": 2333 + }, + { + "epoch": 22.28, + "learning_rate": 1.702905362722116e-05, + "loss": 1.6045, + "step": 2334 + }, + { + "epoch": 22.29, + "learning_rate": 1.701365558191149e-05, + "loss": 1.5478, + "step": 2335 + }, + { + "epoch": 22.3, + "learning_rate": 1.6998259346910096e-05, + "loss": 1.5529, + "step": 2336 + }, + { + "epoch": 22.31, + "learning_rate": 1.698286493155012e-05, + "loss": 1.5769, + "step": 2337 + }, + { + "epoch": 22.32, + "learning_rate": 1.696747234516358e-05, + "loss": 1.5414, + "step": 2338 + }, + { + "epoch": 22.33, + "learning_rate": 1.6952081597081396e-05, + "loss": 1.7613, + "step": 2339 + }, + { + "epoch": 22.34, + "learning_rate": 1.6936692696633365e-05, + "loss": 1.3544, + "step": 2340 + }, + { + "epoch": 22.35, + "learning_rate": 1.6921305653148167e-05, + "loss": 1.4945, + "step": 2341 + }, + { + "epoch": 22.36, + "learning_rate": 1.6905920475953358e-05, + "loss": 1.3867, + "step": 2342 + }, + { + "epoch": 22.37, + "learning_rate": 1.6890537174375357e-05, + "loss": 1.5584, + "step": 2343 + }, + { + "epoch": 22.38, + "learning_rate": 1.687515575773946e-05, + "loss": 1.6609, + "step": 2344 + }, + { + "epoch": 22.39, + "learning_rate": 1.6859776235369807e-05, + "loss": 1.4804, + "step": 2345 + }, + { + "epoch": 22.4, + "learning_rate": 1.6844398616589393e-05, + "loss": 1.5401, + "step": 2346 + }, + { + "epoch": 22.41, + "learning_rate": 1.6829022910720058e-05, + "loss": 1.5925, + "step": 2347 + }, + { + "epoch": 22.42, + "learning_rate": 1.681364912708249e-05, + "loss": 1.7124, + "step": 2348 + }, + { + "epoch": 22.42, + "learning_rate": 1.67982772749962e-05, + "loss": 1.6046, + "step": 2349 + }, + { + "epoch": 22.43, + "learning_rate": 1.6782907363779543e-05, + "loss": 1.402, + "step": 2350 + }, + { + "epoch": 22.44, + "learning_rate": 1.676753940274968e-05, + "loss": 1.7085, + "step": 2351 + }, + { + "epoch": 22.45, + "learning_rate": 1.6752173401222602e-05, + "loss": 2.065, + "step": 2352 + }, + { + "epoch": 22.46, + "learning_rate": 1.673680936851312e-05, + "loss": 1.701, + "step": 2353 + }, + { + "epoch": 22.47, + "learning_rate": 1.6721447313934816e-05, + "loss": 1.085, + "step": 2354 + }, + { + "epoch": 22.48, + "learning_rate": 1.670608724680011e-05, + "loss": 1.5819, + "step": 2355 + }, + { + "epoch": 22.49, + "learning_rate": 1.6690729176420204e-05, + "loss": 1.4256, + "step": 2356 + }, + { + "epoch": 22.5, + "learning_rate": 1.6675373112105087e-05, + "loss": 1.5631, + "step": 2357 + }, + { + "epoch": 22.51, + "learning_rate": 1.666001906316354e-05, + "loss": 1.5447, + "step": 2358 + }, + { + "epoch": 22.52, + "learning_rate": 1.6644667038903115e-05, + "loss": 1.5571, + "step": 2359 + }, + { + "epoch": 22.53, + "learning_rate": 1.6629317048630137e-05, + "loss": 1.6271, + "step": 2360 + }, + { + "epoch": 22.54, + "learning_rate": 1.6613969101649702e-05, + "loss": 1.4735, + "step": 2361 + }, + { + "epoch": 22.55, + "learning_rate": 1.659862320726566e-05, + "loss": 1.4511, + "step": 2362 + }, + { + "epoch": 22.56, + "learning_rate": 1.6583279374780627e-05, + "loss": 1.4263, + "step": 2363 + }, + { + "epoch": 22.57, + "learning_rate": 1.6567937613495964e-05, + "loss": 1.7056, + "step": 2364 + }, + { + "epoch": 22.58, + "learning_rate": 1.6552597932711773e-05, + "loss": 1.6368, + "step": 2365 + }, + { + "epoch": 22.59, + "learning_rate": 1.653726034172691e-05, + "loss": 1.572, + "step": 2366 + }, + { + "epoch": 22.6, + "learning_rate": 1.6521924849838934e-05, + "loss": 1.3875, + "step": 2367 + }, + { + "epoch": 22.61, + "learning_rate": 1.6506591466344154e-05, + "loss": 1.3423, + "step": 2368 + }, + { + "epoch": 22.62, + "learning_rate": 1.6491260200537605e-05, + "loss": 1.8068, + "step": 2369 + }, + { + "epoch": 22.63, + "learning_rate": 1.6475931061713022e-05, + "loss": 1.3217, + "step": 2370 + }, + { + "epoch": 22.63, + "learning_rate": 1.6460604059162863e-05, + "loss": 1.3777, + "step": 2371 + }, + { + "epoch": 22.64, + "learning_rate": 1.6445279202178287e-05, + "loss": 1.339, + "step": 2372 + }, + { + "epoch": 22.65, + "learning_rate": 1.6429956500049156e-05, + "loss": 1.5434, + "step": 2373 + }, + { + "epoch": 22.66, + "learning_rate": 1.641463596206401e-05, + "loss": 1.5853, + "step": 2374 + }, + { + "epoch": 22.67, + "learning_rate": 1.6399317597510096e-05, + "loss": 1.5012, + "step": 2375 + }, + { + "epoch": 22.68, + "learning_rate": 1.6384001415673335e-05, + "loss": 1.5106, + "step": 2376 + }, + { + "epoch": 22.69, + "learning_rate": 1.636868742583833e-05, + "loss": 1.3978, + "step": 2377 + }, + { + "epoch": 22.7, + "learning_rate": 1.6353375637288345e-05, + "loss": 1.4743, + "step": 2378 + }, + { + "epoch": 22.71, + "learning_rate": 1.633806605930532e-05, + "loss": 1.4638, + "step": 2379 + }, + { + "epoch": 22.72, + "learning_rate": 1.632275870116986e-05, + "loss": 1.5421, + "step": 2380 + }, + { + "epoch": 22.73, + "learning_rate": 1.6307453572161195e-05, + "loss": 1.5221, + "step": 2381 + }, + { + "epoch": 22.74, + "learning_rate": 1.6292150681557237e-05, + "loss": 1.4364, + "step": 2382 + }, + { + "epoch": 22.75, + "learning_rate": 1.6276850038634524e-05, + "loss": 1.9469, + "step": 2383 + }, + { + "epoch": 22.76, + "learning_rate": 1.6261551652668237e-05, + "loss": 1.2945, + "step": 2384 + }, + { + "epoch": 22.77, + "learning_rate": 1.6246255532932186e-05, + "loss": 1.4592, + "step": 2385 + }, + { + "epoch": 22.78, + "learning_rate": 1.623096168869881e-05, + "loss": 1.3428, + "step": 2386 + }, + { + "epoch": 22.79, + "learning_rate": 1.621567012923917e-05, + "loss": 1.4557, + "step": 2387 + }, + { + "epoch": 22.8, + "learning_rate": 1.6200380863822936e-05, + "loss": 1.6227, + "step": 2388 + }, + { + "epoch": 22.81, + "learning_rate": 1.6185093901718393e-05, + "loss": 1.4087, + "step": 2389 + }, + { + "epoch": 22.82, + "learning_rate": 1.6169809252192422e-05, + "loss": 1.8408, + "step": 2390 + }, + { + "epoch": 22.83, + "learning_rate": 1.6154526924510513e-05, + "loss": 1.2805, + "step": 2391 + }, + { + "epoch": 22.84, + "learning_rate": 1.613924692793674e-05, + "loss": 1.2557, + "step": 2392 + }, + { + "epoch": 22.84, + "learning_rate": 1.6123969271733775e-05, + "loss": 1.425, + "step": 2393 + }, + { + "epoch": 22.85, + "learning_rate": 1.6108693965162847e-05, + "loss": 1.7334, + "step": 2394 + }, + { + "epoch": 22.86, + "learning_rate": 1.6093421017483785e-05, + "loss": 1.857, + "step": 2395 + }, + { + "epoch": 22.87, + "learning_rate": 1.607815043795498e-05, + "loss": 1.2576, + "step": 2396 + }, + { + "epoch": 22.88, + "learning_rate": 1.606288223583339e-05, + "loss": 1.756, + "step": 2397 + }, + { + "epoch": 22.89, + "learning_rate": 1.6047616420374526e-05, + "loss": 1.4891, + "step": 2398 + }, + { + "epoch": 22.9, + "learning_rate": 1.6032353000832454e-05, + "loss": 1.5835, + "step": 2399 + }, + { + "epoch": 22.91, + "learning_rate": 1.6017091986459793e-05, + "loss": 1.7853, + "step": 2400 + }, + { + "epoch": 22.92, + "learning_rate": 1.6001833386507693e-05, + "loss": 1.5094, + "step": 2401 + }, + { + "epoch": 22.93, + "learning_rate": 1.5986577210225857e-05, + "loss": 1.7919, + "step": 2402 + }, + { + "epoch": 22.94, + "learning_rate": 1.5971323466862504e-05, + "loss": 1.528, + "step": 2403 + }, + { + "epoch": 22.95, + "learning_rate": 1.5956072165664386e-05, + "loss": 1.7151, + "step": 2404 + }, + { + "epoch": 22.96, + "learning_rate": 1.5940823315876765e-05, + "loss": 1.6558, + "step": 2405 + }, + { + "epoch": 22.97, + "learning_rate": 1.5925576926743426e-05, + "loss": 1.6823, + "step": 2406 + }, + { + "epoch": 22.98, + "learning_rate": 1.5910333007506666e-05, + "loss": 1.7588, + "step": 2407 + }, + { + "epoch": 22.99, + "learning_rate": 1.589509156740727e-05, + "loss": 1.3366, + "step": 2408 + }, + { + "epoch": 23.0, + "learning_rate": 1.5879852615684538e-05, + "loss": 1.2968, + "step": 2409 + }, + { + "epoch": 23.01, + "learning_rate": 1.586461616157625e-05, + "loss": 1.5179, + "step": 2410 + }, + { + "epoch": 23.02, + "learning_rate": 1.5849382214318674e-05, + "loss": 1.5159, + "step": 2411 + }, + { + "epoch": 23.03, + "learning_rate": 1.5834150783146553e-05, + "loss": 1.54, + "step": 2412 + }, + { + "epoch": 23.04, + "learning_rate": 1.5818921877293117e-05, + "loss": 1.537, + "step": 2413 + }, + { + "epoch": 23.05, + "learning_rate": 1.5803695505990058e-05, + "loss": 1.68, + "step": 2414 + }, + { + "epoch": 23.05, + "learning_rate": 1.5788471678467533e-05, + "loss": 1.2813, + "step": 2415 + }, + { + "epoch": 23.06, + "learning_rate": 1.5773250403954153e-05, + "loss": 1.6215, + "step": 2416 + }, + { + "epoch": 23.07, + "learning_rate": 1.575803169167699e-05, + "loss": 1.3614, + "step": 2417 + }, + { + "epoch": 23.08, + "learning_rate": 1.5742815550861554e-05, + "loss": 1.3287, + "step": 2418 + }, + { + "epoch": 23.09, + "learning_rate": 1.57276019907318e-05, + "loss": 1.3035, + "step": 2419 + }, + { + "epoch": 23.1, + "learning_rate": 1.5712391020510118e-05, + "loss": 1.9239, + "step": 2420 + }, + { + "epoch": 23.11, + "learning_rate": 1.569718264941734e-05, + "loss": 1.7385, + "step": 2421 + }, + { + "epoch": 23.12, + "learning_rate": 1.568197688667269e-05, + "loss": 1.4137, + "step": 2422 + }, + { + "epoch": 23.13, + "learning_rate": 1.566677374149384e-05, + "loss": 2.0586, + "step": 2423 + }, + { + "epoch": 23.14, + "learning_rate": 1.565157322309687e-05, + "loss": 1.4988, + "step": 2424 + }, + { + "epoch": 23.15, + "learning_rate": 1.5636375340696265e-05, + "loss": 1.6179, + "step": 2425 + }, + { + "epoch": 23.16, + "learning_rate": 1.5621180103504913e-05, + "loss": 1.4203, + "step": 2426 + }, + { + "epoch": 23.17, + "learning_rate": 1.5605987520734088e-05, + "loss": 1.9065, + "step": 2427 + }, + { + "epoch": 23.18, + "learning_rate": 1.559079760159347e-05, + "loss": 1.4011, + "step": 2428 + }, + { + "epoch": 23.19, + "learning_rate": 1.557561035529112e-05, + "loss": 1.703, + "step": 2429 + }, + { + "epoch": 23.2, + "learning_rate": 1.5560425791033474e-05, + "loss": 1.5025, + "step": 2430 + }, + { + "epoch": 23.21, + "learning_rate": 1.554524391802535e-05, + "loss": 1.4549, + "step": 2431 + }, + { + "epoch": 23.22, + "learning_rate": 1.553006474546992e-05, + "loss": 1.5301, + "step": 2432 + }, + { + "epoch": 23.23, + "learning_rate": 1.5514888282568738e-05, + "loss": 1.6419, + "step": 2433 + }, + { + "epoch": 23.24, + "learning_rate": 1.549971453852171e-05, + "loss": 1.3825, + "step": 2434 + }, + { + "epoch": 23.25, + "learning_rate": 1.5484543522527075e-05, + "loss": 1.4531, + "step": 2435 + }, + { + "epoch": 23.26, + "learning_rate": 1.5469375243781445e-05, + "loss": 1.8821, + "step": 2436 + }, + { + "epoch": 23.26, + "learning_rate": 1.545420971147975e-05, + "loss": 1.5753, + "step": 2437 + }, + { + "epoch": 23.27, + "learning_rate": 1.543904693481528e-05, + "loss": 1.6571, + "step": 2438 + }, + { + "epoch": 23.28, + "learning_rate": 1.542388692297963e-05, + "loss": 1.497, + "step": 2439 + }, + { + "epoch": 23.29, + "learning_rate": 1.5408729685162738e-05, + "loss": 1.8412, + "step": 2440 + }, + { + "epoch": 23.3, + "learning_rate": 1.5393575230552844e-05, + "loss": 1.4801, + "step": 2441 + }, + { + "epoch": 23.31, + "learning_rate": 1.5378423568336517e-05, + "loss": 1.4243, + "step": 2442 + }, + { + "epoch": 23.32, + "learning_rate": 1.5363274707698617e-05, + "loss": 1.2185, + "step": 2443 + }, + { + "epoch": 23.33, + "learning_rate": 1.5348128657822317e-05, + "loss": 2.0143, + "step": 2444 + }, + { + "epoch": 23.34, + "learning_rate": 1.5332985427889087e-05, + "loss": 1.5149, + "step": 2445 + }, + { + "epoch": 23.35, + "learning_rate": 1.531784502707868e-05, + "loss": 1.6442, + "step": 2446 + }, + { + "epoch": 23.36, + "learning_rate": 1.5302707464569132e-05, + "loss": 1.5262, + "step": 2447 + }, + { + "epoch": 23.37, + "learning_rate": 1.5287572749536778e-05, + "loss": 1.5204, + "step": 2448 + }, + { + "epoch": 23.38, + "learning_rate": 1.5272440891156204e-05, + "loss": 1.3221, + "step": 2449 + }, + { + "epoch": 23.39, + "learning_rate": 1.5257311898600266e-05, + "loss": 1.4647, + "step": 2450 + }, + { + "epoch": 23.4, + "learning_rate": 1.5242185781040099e-05, + "loss": 1.497, + "step": 2451 + }, + { + "epoch": 23.41, + "learning_rate": 1.5227062547645086e-05, + "loss": 1.6273, + "step": 2452 + }, + { + "epoch": 23.42, + "learning_rate": 1.521194220758286e-05, + "loss": 1.6241, + "step": 2453 + }, + { + "epoch": 23.43, + "learning_rate": 1.5196824770019301e-05, + "loss": 1.5637, + "step": 2454 + }, + { + "epoch": 23.44, + "learning_rate": 1.518171024411853e-05, + "loss": 1.678, + "step": 2455 + }, + { + "epoch": 23.45, + "learning_rate": 1.5166598639042907e-05, + "loss": 1.5265, + "step": 2456 + }, + { + "epoch": 23.46, + "learning_rate": 1.5151489963953012e-05, + "loss": 1.7018, + "step": 2457 + }, + { + "epoch": 23.47, + "learning_rate": 1.5136384228007658e-05, + "loss": 1.4667, + "step": 2458 + }, + { + "epoch": 23.47, + "learning_rate": 1.5121281440363876e-05, + "loss": 1.4195, + "step": 2459 + }, + { + "epoch": 23.48, + "learning_rate": 1.51061816101769e-05, + "loss": 1.7559, + "step": 2460 + }, + { + "epoch": 23.49, + "learning_rate": 1.5091084746600188e-05, + "loss": 1.9077, + "step": 2461 + }, + { + "epoch": 23.5, + "learning_rate": 1.5075990858785377e-05, + "loss": 1.5998, + "step": 2462 + }, + { + "epoch": 23.51, + "learning_rate": 1.5060899955882316e-05, + "loss": 2.1943, + "step": 2463 + }, + { + "epoch": 23.52, + "learning_rate": 1.5045812047039043e-05, + "loss": 1.2843, + "step": 2464 + }, + { + "epoch": 23.53, + "learning_rate": 1.503072714140178e-05, + "loss": 1.3384, + "step": 2465 + }, + { + "epoch": 23.54, + "learning_rate": 1.5015645248114924e-05, + "loss": 1.5228, + "step": 2466 + }, + { + "epoch": 23.55, + "learning_rate": 1.5000566376321055e-05, + "loss": 1.527, + "step": 2467 + }, + { + "epoch": 23.56, + "learning_rate": 1.4985490535160913e-05, + "loss": 1.3497, + "step": 2468 + }, + { + "epoch": 23.57, + "learning_rate": 1.4970417733773403e-05, + "loss": 1.335, + "step": 2469 + }, + { + "epoch": 23.58, + "learning_rate": 1.4955347981295587e-05, + "loss": 1.4879, + "step": 2470 + }, + { + "epoch": 23.59, + "learning_rate": 1.4940281286862686e-05, + "loss": 1.7671, + "step": 2471 + }, + { + "epoch": 23.6, + "learning_rate": 1.4925217659608053e-05, + "loss": 1.7835, + "step": 2472 + }, + { + "epoch": 23.61, + "learning_rate": 1.49101571086632e-05, + "loss": 1.3305, + "step": 2473 + }, + { + "epoch": 23.62, + "learning_rate": 1.4895099643157751e-05, + "loss": 1.5452, + "step": 2474 + }, + { + "epoch": 23.63, + "learning_rate": 1.4880045272219484e-05, + "loss": 1.6827, + "step": 2475 + }, + { + "epoch": 23.64, + "learning_rate": 1.486499400497428e-05, + "loss": 1.6957, + "step": 2476 + }, + { + "epoch": 23.65, + "learning_rate": 1.4849945850546153e-05, + "loss": 1.2977, + "step": 2477 + }, + { + "epoch": 23.66, + "learning_rate": 1.4834900818057225e-05, + "loss": 1.6303, + "step": 2478 + }, + { + "epoch": 23.67, + "learning_rate": 1.4819858916627726e-05, + "loss": 1.4309, + "step": 2479 + }, + { + "epoch": 23.68, + "learning_rate": 1.4804820155375987e-05, + "loss": 1.7732, + "step": 2480 + }, + { + "epoch": 23.68, + "learning_rate": 1.4789784543418437e-05, + "loss": 1.9123, + "step": 2481 + }, + { + "epoch": 23.69, + "learning_rate": 1.4774752089869593e-05, + "loss": 1.6161, + "step": 2482 + }, + { + "epoch": 23.7, + "learning_rate": 1.4759722803842058e-05, + "loss": 1.5111, + "step": 2483 + }, + { + "epoch": 23.71, + "learning_rate": 1.4744696694446523e-05, + "loss": 1.8654, + "step": 2484 + }, + { + "epoch": 23.72, + "learning_rate": 1.4729673770791739e-05, + "loss": 1.2314, + "step": 2485 + }, + { + "epoch": 23.73, + "learning_rate": 1.4714654041984537e-05, + "loss": 1.0682, + "step": 2486 + }, + { + "epoch": 23.74, + "learning_rate": 1.469963751712981e-05, + "loss": 1.3562, + "step": 2487 + }, + { + "epoch": 23.75, + "learning_rate": 1.468462420533051e-05, + "loss": 0.9844, + "step": 2488 + }, + { + "epoch": 23.76, + "learning_rate": 1.4669614115687625e-05, + "loss": 1.4101, + "step": 2489 + }, + { + "epoch": 23.77, + "learning_rate": 1.4654607257300208e-05, + "loss": 1.7272, + "step": 2490 + }, + { + "epoch": 23.78, + "learning_rate": 1.463960363926535e-05, + "loss": 1.3358, + "step": 2491 + }, + { + "epoch": 23.79, + "learning_rate": 1.4624603270678171e-05, + "loss": 1.6289, + "step": 2492 + }, + { + "epoch": 23.8, + "learning_rate": 1.4609606160631833e-05, + "loss": 2.0345, + "step": 2493 + }, + { + "epoch": 23.81, + "learning_rate": 1.4594612318217509e-05, + "loss": 1.5279, + "step": 2494 + }, + { + "epoch": 23.82, + "learning_rate": 1.45796217525244e-05, + "loss": 1.4728, + "step": 2495 + }, + { + "epoch": 23.83, + "learning_rate": 1.4564634472639717e-05, + "loss": 1.8082, + "step": 2496 + }, + { + "epoch": 23.84, + "learning_rate": 1.4549650487648683e-05, + "loss": 1.3325, + "step": 2497 + }, + { + "epoch": 23.85, + "learning_rate": 1.4534669806634516e-05, + "loss": 1.3532, + "step": 2498 + }, + { + "epoch": 23.86, + "learning_rate": 1.4519692438678444e-05, + "loss": 1.4105, + "step": 2499 + }, + { + "epoch": 23.87, + "learning_rate": 1.4504718392859669e-05, + "loss": 1.1649, + "step": 2500 + }, + { + "epoch": 23.88, + "learning_rate": 1.4489747678255396e-05, + "loss": 1.548, + "step": 2501 + }, + { + "epoch": 23.89, + "learning_rate": 1.447478030394081e-05, + "loss": 1.7542, + "step": 2502 + }, + { + "epoch": 23.89, + "learning_rate": 1.4459816278989046e-05, + "loss": 1.8301, + "step": 2503 + }, + { + "epoch": 23.9, + "learning_rate": 1.4444855612471243e-05, + "loss": 1.6121, + "step": 2504 + }, + { + "epoch": 23.91, + "learning_rate": 1.4429898313456479e-05, + "loss": 1.7821, + "step": 2505 + }, + { + "epoch": 23.92, + "learning_rate": 1.44149443910118e-05, + "loss": 1.572, + "step": 2506 + }, + { + "epoch": 23.93, + "learning_rate": 1.4399993854202214e-05, + "loss": 1.5306, + "step": 2507 + }, + { + "epoch": 23.94, + "learning_rate": 1.4385046712090661e-05, + "loss": 1.6272, + "step": 2508 + }, + { + "epoch": 23.95, + "learning_rate": 1.4370102973738031e-05, + "loss": 1.4669, + "step": 2509 + }, + { + "epoch": 23.96, + "learning_rate": 1.4355162648203151e-05, + "loss": 1.6213, + "step": 2510 + }, + { + "epoch": 23.97, + "learning_rate": 1.4340225744542781e-05, + "loss": 1.5625, + "step": 2511 + }, + { + "epoch": 23.98, + "learning_rate": 1.4325292271811595e-05, + "loss": 1.7258, + "step": 2512 + }, + { + "epoch": 23.99, + "learning_rate": 1.43103622390622e-05, + "loss": 1.9316, + "step": 2513 + }, + { + "epoch": 24.0, + "learning_rate": 1.4295435655345115e-05, + "loss": 1.7913, + "step": 2514 + }, + { + "epoch": 24.01, + "learning_rate": 1.4280512529708772e-05, + "loss": 1.2026, + "step": 2515 + }, + { + "epoch": 24.02, + "learning_rate": 1.4265592871199486e-05, + "loss": 1.8009, + "step": 2516 + }, + { + "epoch": 24.03, + "learning_rate": 1.4250676688861496e-05, + "loss": 1.4557, + "step": 2517 + }, + { + "epoch": 24.04, + "learning_rate": 1.4235763991736921e-05, + "loss": 1.9124, + "step": 2518 + }, + { + "epoch": 24.05, + "learning_rate": 1.4220854788865772e-05, + "loss": 1.7006, + "step": 2519 + }, + { + "epoch": 24.06, + "learning_rate": 1.4205949089285937e-05, + "loss": 1.9532, + "step": 2520 + }, + { + "epoch": 24.07, + "learning_rate": 1.4191046902033181e-05, + "loss": 1.49, + "step": 2521 + }, + { + "epoch": 24.08, + "learning_rate": 1.4176148236141143e-05, + "loss": 1.4806, + "step": 2522 + }, + { + "epoch": 24.09, + "learning_rate": 1.4161253100641328e-05, + "loss": 1.4466, + "step": 2523 + }, + { + "epoch": 24.1, + "learning_rate": 1.4146361504563096e-05, + "loss": 1.653, + "step": 2524 + }, + { + "epoch": 24.11, + "learning_rate": 1.4131473456933665e-05, + "loss": 1.4029, + "step": 2525 + }, + { + "epoch": 24.11, + "learning_rate": 1.4116588966778104e-05, + "loss": 1.7652, + "step": 2526 + }, + { + "epoch": 24.12, + "learning_rate": 1.4101708043119318e-05, + "loss": 1.9277, + "step": 2527 + }, + { + "epoch": 24.13, + "learning_rate": 1.4086830694978057e-05, + "loss": 1.684, + "step": 2528 + }, + { + "epoch": 24.14, + "learning_rate": 1.4071956931372912e-05, + "loss": 1.6603, + "step": 2529 + }, + { + "epoch": 24.15, + "learning_rate": 1.4057086761320272e-05, + "loss": 1.6757, + "step": 2530 + }, + { + "epoch": 24.16, + "learning_rate": 1.4042220193834368e-05, + "loss": 1.521, + "step": 2531 + }, + { + "epoch": 24.17, + "learning_rate": 1.4027357237927253e-05, + "loss": 1.3469, + "step": 2532 + }, + { + "epoch": 24.18, + "learning_rate": 1.4012497902608782e-05, + "loss": 1.7434, + "step": 2533 + }, + { + "epoch": 24.19, + "learning_rate": 1.399764219688661e-05, + "loss": 1.5187, + "step": 2534 + }, + { + "epoch": 24.2, + "learning_rate": 1.3982790129766203e-05, + "loss": 1.2073, + "step": 2535 + }, + { + "epoch": 24.21, + "learning_rate": 1.3967941710250817e-05, + "loss": 1.4496, + "step": 2536 + }, + { + "epoch": 24.22, + "learning_rate": 1.3953096947341492e-05, + "loss": 1.6661, + "step": 2537 + }, + { + "epoch": 24.23, + "learning_rate": 1.3938255850037055e-05, + "loss": 1.3808, + "step": 2538 + }, + { + "epoch": 24.24, + "learning_rate": 1.3923418427334113e-05, + "loss": 1.3113, + "step": 2539 + }, + { + "epoch": 24.25, + "learning_rate": 1.3908584688227045e-05, + "loss": 1.5003, + "step": 2540 + }, + { + "epoch": 24.26, + "learning_rate": 1.389375464170799e-05, + "loss": 1.5257, + "step": 2541 + }, + { + "epoch": 24.27, + "learning_rate": 1.3878928296766868e-05, + "loss": 1.982, + "step": 2542 + }, + { + "epoch": 24.28, + "learning_rate": 1.3864105662391327e-05, + "loss": 2.0552, + "step": 2543 + }, + { + "epoch": 24.29, + "learning_rate": 1.3849286747566781e-05, + "loss": 1.6354, + "step": 2544 + }, + { + "epoch": 24.3, + "learning_rate": 1.3834471561276391e-05, + "loss": 1.7387, + "step": 2545 + }, + { + "epoch": 24.31, + "learning_rate": 1.3819660112501054e-05, + "loss": 1.2605, + "step": 2546 + }, + { + "epoch": 24.32, + "learning_rate": 1.3804852410219404e-05, + "loss": 2.1124, + "step": 2547 + }, + { + "epoch": 24.32, + "learning_rate": 1.3790048463407803e-05, + "loss": 1.5086, + "step": 2548 + }, + { + "epoch": 24.33, + "learning_rate": 1.3775248281040334e-05, + "loss": 1.5658, + "step": 2549 + }, + { + "epoch": 24.34, + "learning_rate": 1.3760451872088804e-05, + "loss": 1.3903, + "step": 2550 + }, + { + "epoch": 24.35, + "learning_rate": 1.3745659245522722e-05, + "loss": 1.6187, + "step": 2551 + }, + { + "epoch": 24.36, + "learning_rate": 1.3730870410309311e-05, + "loss": 1.4224, + "step": 2552 + }, + { + "epoch": 24.37, + "learning_rate": 1.3716085375413498e-05, + "loss": 1.5059, + "step": 2553 + }, + { + "epoch": 24.38, + "learning_rate": 1.3701304149797898e-05, + "loss": 1.5843, + "step": 2554 + }, + { + "epoch": 24.39, + "learning_rate": 1.368652674242283e-05, + "loss": 1.531, + "step": 2555 + }, + { + "epoch": 24.4, + "learning_rate": 1.3671753162246291e-05, + "loss": 1.8052, + "step": 2556 + }, + { + "epoch": 24.41, + "learning_rate": 1.3656983418223953e-05, + "loss": 1.9043, + "step": 2557 + }, + { + "epoch": 24.42, + "learning_rate": 1.3642217519309162e-05, + "loss": 1.5591, + "step": 2558 + }, + { + "epoch": 24.43, + "learning_rate": 1.3627455474452944e-05, + "loss": 1.5402, + "step": 2559 + }, + { + "epoch": 24.44, + "learning_rate": 1.3612697292603982e-05, + "loss": 1.5502, + "step": 2560 + }, + { + "epoch": 24.45, + "learning_rate": 1.3597942982708619e-05, + "loss": 1.4424, + "step": 2561 + }, + { + "epoch": 24.46, + "learning_rate": 1.358319255371085e-05, + "loss": 1.5025, + "step": 2562 + }, + { + "epoch": 24.47, + "learning_rate": 1.3568446014552317e-05, + "loss": 1.3678, + "step": 2563 + }, + { + "epoch": 24.48, + "learning_rate": 1.3553703374172305e-05, + "loss": 1.3396, + "step": 2564 + }, + { + "epoch": 24.49, + "learning_rate": 1.3538964641507733e-05, + "loss": 1.2705, + "step": 2565 + }, + { + "epoch": 24.5, + "learning_rate": 1.3524229825493151e-05, + "loss": 1.4648, + "step": 2566 + }, + { + "epoch": 24.51, + "learning_rate": 1.3509498935060746e-05, + "loss": 1.7544, + "step": 2567 + }, + { + "epoch": 24.52, + "learning_rate": 1.349477197914031e-05, + "loss": 1.6816, + "step": 2568 + }, + { + "epoch": 24.53, + "learning_rate": 1.3480048966659252e-05, + "loss": 1.4727, + "step": 2569 + }, + { + "epoch": 24.53, + "learning_rate": 1.346532990654261e-05, + "loss": 1.6932, + "step": 2570 + }, + { + "epoch": 24.54, + "learning_rate": 1.3450614807712991e-05, + "loss": 1.5797, + "step": 2571 + }, + { + "epoch": 24.55, + "learning_rate": 1.3435903679090632e-05, + "loss": 1.2219, + "step": 2572 + }, + { + "epoch": 24.56, + "learning_rate": 1.3421196529593346e-05, + "loss": 1.3347, + "step": 2573 + }, + { + "epoch": 24.57, + "learning_rate": 1.3406493368136543e-05, + "loss": 1.5122, + "step": 2574 + }, + { + "epoch": 24.58, + "learning_rate": 1.3391794203633212e-05, + "loss": 1.4627, + "step": 2575 + }, + { + "epoch": 24.59, + "learning_rate": 1.337709904499392e-05, + "loss": 1.4572, + "step": 2576 + }, + { + "epoch": 24.6, + "learning_rate": 1.3362407901126804e-05, + "loss": 1.6636, + "step": 2577 + }, + { + "epoch": 24.61, + "learning_rate": 1.3347720780937566e-05, + "loss": 1.5064, + "step": 2578 + }, + { + "epoch": 24.62, + "learning_rate": 1.3333037693329472e-05, + "loss": 1.5121, + "step": 2579 + }, + { + "epoch": 24.63, + "learning_rate": 1.331835864720334e-05, + "loss": 1.4914, + "step": 2580 + }, + { + "epoch": 24.64, + "learning_rate": 1.330368365145755e-05, + "loss": 1.1438, + "step": 2581 + }, + { + "epoch": 24.65, + "learning_rate": 1.3289012714988006e-05, + "loss": 1.5583, + "step": 2582 + }, + { + "epoch": 24.66, + "learning_rate": 1.3274345846688172e-05, + "loss": 1.3027, + "step": 2583 + }, + { + "epoch": 24.67, + "learning_rate": 1.3259683055449024e-05, + "loss": 1.5185, + "step": 2584 + }, + { + "epoch": 24.68, + "learning_rate": 1.3245024350159085e-05, + "loss": 1.4065, + "step": 2585 + }, + { + "epoch": 24.69, + "learning_rate": 1.3230369739704401e-05, + "loss": 1.9622, + "step": 2586 + }, + { + "epoch": 24.7, + "learning_rate": 1.3215719232968521e-05, + "loss": 1.2722, + "step": 2587 + }, + { + "epoch": 24.71, + "learning_rate": 1.3201072838832518e-05, + "loss": 1.5072, + "step": 2588 + }, + { + "epoch": 24.72, + "learning_rate": 1.318643056617497e-05, + "loss": 1.2628, + "step": 2589 + }, + { + "epoch": 24.73, + "learning_rate": 1.3171792423871953e-05, + "loss": 1.5758, + "step": 2590 + }, + { + "epoch": 24.74, + "learning_rate": 1.3157158420797042e-05, + "loss": 1.4549, + "step": 2591 + }, + { + "epoch": 24.74, + "learning_rate": 1.3142528565821307e-05, + "loss": 1.5473, + "step": 2592 + }, + { + "epoch": 24.75, + "learning_rate": 1.3127902867813294e-05, + "loss": 1.454, + "step": 2593 + }, + { + "epoch": 24.76, + "learning_rate": 1.3113281335639036e-05, + "loss": 1.5021, + "step": 2594 + }, + { + "epoch": 24.77, + "learning_rate": 1.3098663978162036e-05, + "loss": 1.9391, + "step": 2595 + }, + { + "epoch": 24.78, + "learning_rate": 1.3084050804243276e-05, + "loss": 1.3916, + "step": 2596 + }, + { + "epoch": 24.79, + "learning_rate": 1.3069441822741195e-05, + "loss": 1.6378, + "step": 2597 + }, + { + "epoch": 24.8, + "learning_rate": 1.305483704251168e-05, + "loss": 1.8472, + "step": 2598 + }, + { + "epoch": 24.81, + "learning_rate": 1.3040236472408087e-05, + "loss": 1.6673, + "step": 2599 + }, + { + "epoch": 24.82, + "learning_rate": 1.3025640121281215e-05, + "loss": 1.588, + "step": 2600 + }, + { + "epoch": 24.83, + "learning_rate": 1.3011047997979307e-05, + "loss": 1.1388, + "step": 2601 + }, + { + "epoch": 24.84, + "learning_rate": 1.299646011134804e-05, + "loss": 1.5879, + "step": 2602 + }, + { + "epoch": 24.85, + "learning_rate": 1.2981876470230521e-05, + "loss": 1.6243, + "step": 2603 + }, + { + "epoch": 24.86, + "learning_rate": 1.2967297083467295e-05, + "loss": 1.4987, + "step": 2604 + }, + { + "epoch": 24.87, + "learning_rate": 1.2952721959896306e-05, + "loss": 1.4479, + "step": 2605 + }, + { + "epoch": 24.88, + "learning_rate": 1.293815110835294e-05, + "loss": 1.567, + "step": 2606 + }, + { + "epoch": 24.89, + "learning_rate": 1.2923584537669971e-05, + "loss": 1.4639, + "step": 2607 + }, + { + "epoch": 24.9, + "learning_rate": 1.2909022256677593e-05, + "loss": 1.8277, + "step": 2608 + }, + { + "epoch": 24.91, + "learning_rate": 1.2894464274203393e-05, + "loss": 1.9616, + "step": 2609 + }, + { + "epoch": 24.92, + "learning_rate": 1.287991059907236e-05, + "loss": 1.4849, + "step": 2610 + }, + { + "epoch": 24.93, + "learning_rate": 1.2865361240106848e-05, + "loss": 1.5768, + "step": 2611 + }, + { + "epoch": 24.94, + "learning_rate": 1.2850816206126623e-05, + "loss": 1.5869, + "step": 2612 + }, + { + "epoch": 24.95, + "learning_rate": 1.2836275505948815e-05, + "loss": 1.454, + "step": 2613 + }, + { + "epoch": 24.95, + "learning_rate": 1.282173914838793e-05, + "loss": 1.47, + "step": 2614 + }, + { + "epoch": 24.96, + "learning_rate": 1.2807207142255842e-05, + "loss": 1.5097, + "step": 2615 + }, + { + "epoch": 24.97, + "learning_rate": 1.2792679496361786e-05, + "loss": 1.4619, + "step": 2616 + }, + { + "epoch": 24.98, + "learning_rate": 1.2778156219512356e-05, + "loss": 1.4948, + "step": 2617 + }, + { + "epoch": 24.99, + "learning_rate": 1.2763637320511494e-05, + "loss": 1.5264, + "step": 2618 + }, + { + "epoch": 25.0, + "learning_rate": 1.2749122808160494e-05, + "loss": 1.5691, + "step": 2619 + }, + { + "epoch": 25.01, + "learning_rate": 1.2734612691257979e-05, + "loss": 1.6708, + "step": 2620 + }, + { + "epoch": 25.02, + "learning_rate": 1.272010697859992e-05, + "loss": 1.4545, + "step": 2621 + }, + { + "epoch": 25.03, + "learning_rate": 1.2705605678979613e-05, + "loss": 1.4839, + "step": 2622 + }, + { + "epoch": 25.04, + "learning_rate": 1.2691108801187682e-05, + "loss": 1.2014, + "step": 2623 + }, + { + "epoch": 25.05, + "learning_rate": 1.2676616354012066e-05, + "loss": 1.2213, + "step": 2624 + }, + { + "epoch": 25.06, + "learning_rate": 1.2662128346238016e-05, + "loss": 1.3598, + "step": 2625 + }, + { + "epoch": 25.07, + "learning_rate": 1.2647644786648102e-05, + "loss": 1.689, + "step": 2626 + }, + { + "epoch": 25.08, + "learning_rate": 1.2633165684022184e-05, + "loss": 1.4656, + "step": 2627 + }, + { + "epoch": 25.09, + "learning_rate": 1.2618691047137435e-05, + "loss": 1.4744, + "step": 2628 + }, + { + "epoch": 25.1, + "learning_rate": 1.2604220884768307e-05, + "loss": 1.5898, + "step": 2629 + }, + { + "epoch": 25.11, + "learning_rate": 1.2589755205686552e-05, + "loss": 1.7249, + "step": 2630 + }, + { + "epoch": 25.12, + "learning_rate": 1.2575294018661195e-05, + "loss": 1.6533, + "step": 2631 + }, + { + "epoch": 25.13, + "learning_rate": 1.2560837332458539e-05, + "loss": 1.4398, + "step": 2632 + }, + { + "epoch": 25.14, + "learning_rate": 1.2546385155842166e-05, + "loss": 1.5619, + "step": 2633 + }, + { + "epoch": 25.15, + "learning_rate": 1.2531937497572919e-05, + "loss": 1.2959, + "step": 2634 + }, + { + "epoch": 25.16, + "learning_rate": 1.2517494366408898e-05, + "loss": 2.1649, + "step": 2635 + }, + { + "epoch": 25.16, + "learning_rate": 1.2503055771105465e-05, + "loss": 1.2305, + "step": 2636 + }, + { + "epoch": 25.17, + "learning_rate": 1.2488621720415239e-05, + "loss": 1.7645, + "step": 2637 + }, + { + "epoch": 25.18, + "learning_rate": 1.247419222308806e-05, + "loss": 1.2403, + "step": 2638 + }, + { + "epoch": 25.19, + "learning_rate": 1.2459767287871025e-05, + "loss": 1.6302, + "step": 2639 + }, + { + "epoch": 25.2, + "learning_rate": 1.2445346923508472e-05, + "loss": 1.5173, + "step": 2640 + }, + { + "epoch": 25.21, + "learning_rate": 1.2430931138741955e-05, + "loss": 1.307, + "step": 2641 + }, + { + "epoch": 25.22, + "learning_rate": 1.2416519942310256e-05, + "loss": 1.3566, + "step": 2642 + }, + { + "epoch": 25.23, + "learning_rate": 1.240211334294938e-05, + "loss": 1.4845, + "step": 2643 + }, + { + "epoch": 25.24, + "learning_rate": 1.238771134939254e-05, + "loss": 1.5717, + "step": 2644 + }, + { + "epoch": 25.25, + "learning_rate": 1.2373313970370156e-05, + "loss": 1.4918, + "step": 2645 + }, + { + "epoch": 25.26, + "learning_rate": 1.2358921214609851e-05, + "loss": 1.6705, + "step": 2646 + }, + { + "epoch": 25.27, + "learning_rate": 1.2344533090836457e-05, + "loss": 1.2474, + "step": 2647 + }, + { + "epoch": 25.28, + "learning_rate": 1.2330149607771979e-05, + "loss": 1.8479, + "step": 2648 + }, + { + "epoch": 25.29, + "learning_rate": 1.2315770774135624e-05, + "loss": 1.4977, + "step": 2649 + }, + { + "epoch": 25.3, + "learning_rate": 1.2301396598643777e-05, + "loss": 1.7927, + "step": 2650 + }, + { + "epoch": 25.31, + "learning_rate": 1.2287027090009992e-05, + "loss": 1.8214, + "step": 2651 + }, + { + "epoch": 25.32, + "learning_rate": 1.2272662256944998e-05, + "loss": 1.1766, + "step": 2652 + }, + { + "epoch": 25.33, + "learning_rate": 1.2258302108156691e-05, + "loss": 1.3477, + "step": 2653 + }, + { + "epoch": 25.34, + "learning_rate": 1.2243946652350136e-05, + "loss": 1.6555, + "step": 2654 + }, + { + "epoch": 25.35, + "learning_rate": 1.2229595898227532e-05, + "loss": 1.4378, + "step": 2655 + }, + { + "epoch": 25.36, + "learning_rate": 1.2215249854488249e-05, + "loss": 1.697, + "step": 2656 + }, + { + "epoch": 25.37, + "learning_rate": 1.2200908529828794e-05, + "loss": 1.6527, + "step": 2657 + }, + { + "epoch": 25.37, + "learning_rate": 1.2186571932942805e-05, + "loss": 1.3804, + "step": 2658 + }, + { + "epoch": 25.38, + "learning_rate": 1.2172240072521068e-05, + "loss": 1.6465, + "step": 2659 + }, + { + "epoch": 25.39, + "learning_rate": 1.2157912957251485e-05, + "loss": 1.5726, + "step": 2660 + }, + { + "epoch": 25.4, + "learning_rate": 1.2143590595819092e-05, + "loss": 1.4793, + "step": 2661 + }, + { + "epoch": 25.41, + "learning_rate": 1.2129272996906036e-05, + "loss": 1.7125, + "step": 2662 + }, + { + "epoch": 25.42, + "learning_rate": 1.2114960169191581e-05, + "loss": 1.6656, + "step": 2663 + }, + { + "epoch": 25.43, + "learning_rate": 1.2100652121352106e-05, + "loss": 1.5352, + "step": 2664 + }, + { + "epoch": 25.44, + "learning_rate": 1.2086348862061068e-05, + "loss": 2.0425, + "step": 2665 + }, + { + "epoch": 25.45, + "learning_rate": 1.2072050399989043e-05, + "loss": 1.7284, + "step": 2666 + }, + { + "epoch": 25.46, + "learning_rate": 1.20577567438037e-05, + "loss": 1.4878, + "step": 2667 + }, + { + "epoch": 25.47, + "learning_rate": 1.2043467902169778e-05, + "loss": 1.4592, + "step": 2668 + }, + { + "epoch": 25.48, + "learning_rate": 1.2029183883749113e-05, + "loss": 1.1302, + "step": 2669 + }, + { + "epoch": 25.49, + "learning_rate": 1.2014904697200612e-05, + "loss": 1.4971, + "step": 2670 + }, + { + "epoch": 25.5, + "learning_rate": 1.2000630351180247e-05, + "loss": 1.1075, + "step": 2671 + }, + { + "epoch": 25.51, + "learning_rate": 1.1986360854341068e-05, + "loss": 1.6916, + "step": 2672 + }, + { + "epoch": 25.52, + "learning_rate": 1.1972096215333176e-05, + "loss": 1.4558, + "step": 2673 + }, + { + "epoch": 25.53, + "learning_rate": 1.1957836442803727e-05, + "loss": 1.2084, + "step": 2674 + }, + { + "epoch": 25.54, + "learning_rate": 1.1943581545396934e-05, + "loss": 1.8218, + "step": 2675 + }, + { + "epoch": 25.55, + "learning_rate": 1.1929331531754044e-05, + "loss": 1.7064, + "step": 2676 + }, + { + "epoch": 25.56, + "learning_rate": 1.191508641051336e-05, + "loss": 1.5698, + "step": 2677 + }, + { + "epoch": 25.57, + "learning_rate": 1.1900846190310204e-05, + "loss": 1.7531, + "step": 2678 + }, + { + "epoch": 25.58, + "learning_rate": 1.188661087977693e-05, + "loss": 1.8175, + "step": 2679 + }, + { + "epoch": 25.58, + "learning_rate": 1.1872380487542917e-05, + "loss": 1.5177, + "step": 2680 + }, + { + "epoch": 25.59, + "learning_rate": 1.1858155022234565e-05, + "loss": 1.3862, + "step": 2681 + }, + { + "epoch": 25.6, + "learning_rate": 1.1843934492475286e-05, + "loss": 1.4711, + "step": 2682 + }, + { + "epoch": 25.61, + "learning_rate": 1.1829718906885504e-05, + "loss": 1.3359, + "step": 2683 + }, + { + "epoch": 25.62, + "learning_rate": 1.1815508274082634e-05, + "loss": 1.8342, + "step": 2684 + }, + { + "epoch": 25.63, + "learning_rate": 1.1801302602681103e-05, + "loss": 1.3898, + "step": 2685 + }, + { + "epoch": 25.64, + "learning_rate": 1.1787101901292321e-05, + "loss": 1.4031, + "step": 2686 + }, + { + "epoch": 25.65, + "learning_rate": 1.1772906178524691e-05, + "loss": 1.4814, + "step": 2687 + }, + { + "epoch": 25.66, + "learning_rate": 1.1758715442983592e-05, + "loss": 2.2663, + "step": 2688 + }, + { + "epoch": 25.67, + "learning_rate": 1.1744529703271383e-05, + "loss": 1.4726, + "step": 2689 + }, + { + "epoch": 25.68, + "learning_rate": 1.1730348967987394e-05, + "loss": 1.5892, + "step": 2690 + }, + { + "epoch": 25.69, + "learning_rate": 1.1716173245727927e-05, + "loss": 1.3422, + "step": 2691 + }, + { + "epoch": 25.7, + "learning_rate": 1.1702002545086228e-05, + "loss": 1.5112, + "step": 2692 + }, + { + "epoch": 25.71, + "learning_rate": 1.168783687465252e-05, + "loss": 1.6255, + "step": 2693 + }, + { + "epoch": 25.72, + "learning_rate": 1.1673676243013965e-05, + "loss": 1.2162, + "step": 2694 + }, + { + "epoch": 25.73, + "learning_rate": 1.1659520658754673e-05, + "loss": 1.6152, + "step": 2695 + }, + { + "epoch": 25.74, + "learning_rate": 1.1645370130455698e-05, + "loss": 2.01, + "step": 2696 + }, + { + "epoch": 25.75, + "learning_rate": 1.1631224666695019e-05, + "loss": 1.6486, + "step": 2697 + }, + { + "epoch": 25.76, + "learning_rate": 1.1617084276047552e-05, + "loss": 1.6569, + "step": 2698 + }, + { + "epoch": 25.77, + "learning_rate": 1.1602948967085141e-05, + "loss": 1.4678, + "step": 2699 + }, + { + "epoch": 25.78, + "learning_rate": 1.1588818748376544e-05, + "loss": 1.7867, + "step": 2700 + }, + { + "epoch": 25.79, + "learning_rate": 1.1574693628487434e-05, + "loss": 1.8689, + "step": 2701 + }, + { + "epoch": 25.79, + "learning_rate": 1.1560573615980393e-05, + "loss": 1.8724, + "step": 2702 + }, + { + "epoch": 25.8, + "learning_rate": 1.1546458719414917e-05, + "loss": 1.9627, + "step": 2703 + }, + { + "epoch": 25.81, + "learning_rate": 1.1532348947347375e-05, + "loss": 1.422, + "step": 2704 + }, + { + "epoch": 25.82, + "learning_rate": 1.1518244308331056e-05, + "loss": 1.3565, + "step": 2705 + }, + { + "epoch": 25.83, + "learning_rate": 1.1504144810916127e-05, + "loss": 1.4577, + "step": 2706 + }, + { + "epoch": 25.84, + "learning_rate": 1.1490050463649635e-05, + "loss": 1.2424, + "step": 2707 + }, + { + "epoch": 25.85, + "learning_rate": 1.1475961275075513e-05, + "loss": 1.5016, + "step": 2708 + }, + { + "epoch": 25.86, + "learning_rate": 1.1461877253734562e-05, + "loss": 1.3205, + "step": 2709 + }, + { + "epoch": 25.87, + "learning_rate": 1.1447798408164447e-05, + "loss": 1.8553, + "step": 2710 + }, + { + "epoch": 25.88, + "learning_rate": 1.1433724746899713e-05, + "loss": 1.4334, + "step": 2711 + }, + { + "epoch": 25.89, + "learning_rate": 1.1419656278471729e-05, + "loss": 1.4359, + "step": 2712 + }, + { + "epoch": 25.9, + "learning_rate": 1.1405593011408745e-05, + "loss": 1.4337, + "step": 2713 + }, + { + "epoch": 25.91, + "learning_rate": 1.139153495423585e-05, + "loss": 1.717, + "step": 2714 + }, + { + "epoch": 25.92, + "learning_rate": 1.1377482115474972e-05, + "loss": 1.5188, + "step": 2715 + }, + { + "epoch": 25.93, + "learning_rate": 1.136343450364488e-05, + "loss": 1.6811, + "step": 2716 + }, + { + "epoch": 25.94, + "learning_rate": 1.1349392127261169e-05, + "loss": 1.3939, + "step": 2717 + }, + { + "epoch": 25.95, + "learning_rate": 1.1335354994836276e-05, + "loss": 1.5015, + "step": 2718 + }, + { + "epoch": 25.96, + "learning_rate": 1.1321323114879424e-05, + "loss": 1.7598, + "step": 2719 + }, + { + "epoch": 25.97, + "learning_rate": 1.1307296495896684e-05, + "loss": 1.4953, + "step": 2720 + }, + { + "epoch": 25.98, + "learning_rate": 1.1293275146390931e-05, + "loss": 1.2761, + "step": 2721 + }, + { + "epoch": 25.99, + "learning_rate": 1.1279259074861841e-05, + "loss": 1.6056, + "step": 2722 + }, + { + "epoch": 26.0, + "learning_rate": 1.1265248289805892e-05, + "loss": 1.5955, + "step": 2723 + }, + { + "epoch": 26.0, + "learning_rate": 1.1251242799716357e-05, + "loss": 1.63, + "step": 2724 + }, + { + "epoch": 26.01, + "learning_rate": 1.12372426130833e-05, + "loss": 1.4696, + "step": 2725 + }, + { + "epoch": 26.02, + "learning_rate": 1.1223247738393575e-05, + "loss": 1.6774, + "step": 2726 + }, + { + "epoch": 26.03, + "learning_rate": 1.1209258184130802e-05, + "loss": 1.9409, + "step": 2727 + }, + { + "epoch": 26.04, + "learning_rate": 1.1195273958775391e-05, + "loss": 1.5044, + "step": 2728 + }, + { + "epoch": 26.05, + "learning_rate": 1.118129507080451e-05, + "loss": 1.7858, + "step": 2729 + }, + { + "epoch": 26.06, + "learning_rate": 1.11673215286921e-05, + "loss": 1.1876, + "step": 2730 + }, + { + "epoch": 26.07, + "learning_rate": 1.115335334090886e-05, + "loss": 1.8247, + "step": 2731 + }, + { + "epoch": 26.08, + "learning_rate": 1.113939051592225e-05, + "loss": 1.417, + "step": 2732 + }, + { + "epoch": 26.09, + "learning_rate": 1.1125433062196449e-05, + "loss": 1.5365, + "step": 2733 + }, + { + "epoch": 26.1, + "learning_rate": 1.1111480988192413e-05, + "loss": 1.417, + "step": 2734 + }, + { + "epoch": 26.11, + "learning_rate": 1.1097534302367824e-05, + "loss": 1.481, + "step": 2735 + }, + { + "epoch": 26.12, + "learning_rate": 1.1083593013177101e-05, + "loss": 1.4824, + "step": 2736 + }, + { + "epoch": 26.13, + "learning_rate": 1.1069657129071388e-05, + "loss": 1.7476, + "step": 2737 + }, + { + "epoch": 26.14, + "learning_rate": 1.1055726658498554e-05, + "loss": 1.3819, + "step": 2738 + }, + { + "epoch": 26.15, + "learning_rate": 1.1041801609903185e-05, + "loss": 1.6339, + "step": 2739 + }, + { + "epoch": 26.16, + "learning_rate": 1.1027881991726583e-05, + "loss": 1.4118, + "step": 2740 + }, + { + "epoch": 26.17, + "learning_rate": 1.1013967812406758e-05, + "loss": 1.5586, + "step": 2741 + }, + { + "epoch": 26.18, + "learning_rate": 1.100005908037842e-05, + "loss": 1.8291, + "step": 2742 + }, + { + "epoch": 26.19, + "learning_rate": 1.098615580407298e-05, + "loss": 1.5247, + "step": 2743 + }, + { + "epoch": 26.2, + "learning_rate": 1.0972257991918535e-05, + "loss": 1.8677, + "step": 2744 + }, + { + "epoch": 26.21, + "learning_rate": 1.0958365652339884e-05, + "loss": 1.8116, + "step": 2745 + }, + { + "epoch": 26.21, + "learning_rate": 1.0944478793758502e-05, + "loss": 1.738, + "step": 2746 + }, + { + "epoch": 26.22, + "learning_rate": 1.0930597424592522e-05, + "loss": 1.7752, + "step": 2747 + }, + { + "epoch": 26.23, + "learning_rate": 1.0916721553256777e-05, + "loss": 1.6519, + "step": 2748 + }, + { + "epoch": 26.24, + "learning_rate": 1.0902851188162755e-05, + "loss": 1.4888, + "step": 2749 + }, + { + "epoch": 26.25, + "learning_rate": 1.0888986337718608e-05, + "loss": 1.5854, + "step": 2750 + }, + { + "epoch": 26.26, + "learning_rate": 1.0875127010329147e-05, + "loss": 1.4487, + "step": 2751 + }, + { + "epoch": 26.27, + "learning_rate": 1.086127321439583e-05, + "loss": 1.3848, + "step": 2752 + }, + { + "epoch": 26.28, + "learning_rate": 1.0847424958316764e-05, + "loss": 1.4186, + "step": 2753 + }, + { + "epoch": 26.29, + "learning_rate": 1.08335822504867e-05, + "loss": 1.6957, + "step": 2754 + }, + { + "epoch": 26.3, + "learning_rate": 1.0819745099297022e-05, + "loss": 1.8438, + "step": 2755 + }, + { + "epoch": 26.31, + "learning_rate": 1.0805913513135751e-05, + "loss": 1.4854, + "step": 2756 + }, + { + "epoch": 26.32, + "learning_rate": 1.079208750038753e-05, + "loss": 1.4689, + "step": 2757 + }, + { + "epoch": 26.33, + "learning_rate": 1.0778267069433621e-05, + "loss": 1.5201, + "step": 2758 + }, + { + "epoch": 26.34, + "learning_rate": 1.0764452228651918e-05, + "loss": 1.7206, + "step": 2759 + }, + { + "epoch": 26.35, + "learning_rate": 1.0750642986416894e-05, + "loss": 1.9609, + "step": 2760 + }, + { + "epoch": 26.36, + "learning_rate": 1.0736839351099663e-05, + "loss": 1.4789, + "step": 2761 + }, + { + "epoch": 26.37, + "learning_rate": 1.0723041331067917e-05, + "loss": 1.7442, + "step": 2762 + }, + { + "epoch": 26.38, + "learning_rate": 1.070924893468596e-05, + "loss": 1.4554, + "step": 2763 + }, + { + "epoch": 26.39, + "learning_rate": 1.0695462170314677e-05, + "loss": 1.2415, + "step": 2764 + }, + { + "epoch": 26.4, + "learning_rate": 1.0681681046311538e-05, + "loss": 1.7597, + "step": 2765 + }, + { + "epoch": 26.41, + "learning_rate": 1.0667905571030599e-05, + "loss": 1.6345, + "step": 2766 + }, + { + "epoch": 26.42, + "learning_rate": 1.0654135752822495e-05, + "loss": 1.7483, + "step": 2767 + }, + { + "epoch": 26.42, + "learning_rate": 1.0640371600034416e-05, + "loss": 1.2986, + "step": 2768 + }, + { + "epoch": 26.43, + "learning_rate": 1.0626613121010139e-05, + "loss": 1.3781, + "step": 2769 + }, + { + "epoch": 26.44, + "learning_rate": 1.0612860324089985e-05, + "loss": 2.0882, + "step": 2770 + }, + { + "epoch": 26.45, + "learning_rate": 1.0599113217610837e-05, + "loss": 1.4265, + "step": 2771 + }, + { + "epoch": 26.46, + "learning_rate": 1.0585371809906127e-05, + "loss": 1.5648, + "step": 2772 + }, + { + "epoch": 26.47, + "learning_rate": 1.0571636109305845e-05, + "loss": 1.4281, + "step": 2773 + }, + { + "epoch": 26.48, + "learning_rate": 1.0557906124136493e-05, + "loss": 1.2389, + "step": 2774 + }, + { + "epoch": 26.49, + "learning_rate": 1.0544181862721129e-05, + "loss": 1.5143, + "step": 2775 + }, + { + "epoch": 26.5, + "learning_rate": 1.053046333337934e-05, + "loss": 1.6062, + "step": 2776 + }, + { + "epoch": 26.51, + "learning_rate": 1.0516750544427236e-05, + "loss": 1.3932, + "step": 2777 + }, + { + "epoch": 26.52, + "learning_rate": 1.0503043504177446e-05, + "loss": 1.6872, + "step": 2778 + }, + { + "epoch": 26.53, + "learning_rate": 1.0489342220939113e-05, + "loss": 1.6824, + "step": 2779 + }, + { + "epoch": 26.54, + "learning_rate": 1.0475646703017906e-05, + "loss": 1.5817, + "step": 2780 + }, + { + "epoch": 26.55, + "learning_rate": 1.0461956958715965e-05, + "loss": 1.3772, + "step": 2781 + }, + { + "epoch": 26.56, + "learning_rate": 1.0448272996331957e-05, + "loss": 1.4509, + "step": 2782 + }, + { + "epoch": 26.57, + "learning_rate": 1.043459482416104e-05, + "loss": 1.4362, + "step": 2783 + }, + { + "epoch": 26.58, + "learning_rate": 1.0420922450494855e-05, + "loss": 1.4654, + "step": 2784 + }, + { + "epoch": 26.59, + "learning_rate": 1.0407255883621536e-05, + "loss": 1.6129, + "step": 2785 + }, + { + "epoch": 26.6, + "learning_rate": 1.0393595131825695e-05, + "loss": 1.7833, + "step": 2786 + }, + { + "epoch": 26.61, + "learning_rate": 1.037994020338842e-05, + "loss": 1.5477, + "step": 2787 + }, + { + "epoch": 26.62, + "learning_rate": 1.0366291106587251e-05, + "loss": 1.6444, + "step": 2788 + }, + { + "epoch": 26.63, + "learning_rate": 1.035264784969622e-05, + "loss": 1.8021, + "step": 2789 + }, + { + "epoch": 26.63, + "learning_rate": 1.0339010440985801e-05, + "loss": 1.7615, + "step": 2790 + }, + { + "epoch": 26.64, + "learning_rate": 1.0325378888722937e-05, + "loss": 1.433, + "step": 2791 + }, + { + "epoch": 26.65, + "learning_rate": 1.0311753201171002e-05, + "loss": 1.6194, + "step": 2792 + }, + { + "epoch": 26.66, + "learning_rate": 1.0298133386589831e-05, + "loss": 1.6553, + "step": 2793 + }, + { + "epoch": 26.67, + "learning_rate": 1.0284519453235693e-05, + "loss": 1.4193, + "step": 2794 + }, + { + "epoch": 26.68, + "learning_rate": 1.0270911409361291e-05, + "loss": 1.9524, + "step": 2795 + }, + { + "epoch": 26.69, + "learning_rate": 1.0257309263215758e-05, + "loss": 1.4939, + "step": 2796 + }, + { + "epoch": 26.7, + "learning_rate": 1.0243713023044655e-05, + "loss": 1.3668, + "step": 2797 + }, + { + "epoch": 26.71, + "learning_rate": 1.023012269708996e-05, + "loss": 1.4401, + "step": 2798 + }, + { + "epoch": 26.72, + "learning_rate": 1.0216538293590061e-05, + "loss": 1.4632, + "step": 2799 + }, + { + "epoch": 26.73, + "learning_rate": 1.0202959820779776e-05, + "loss": 1.5697, + "step": 2800 + }, + { + "epoch": 26.74, + "learning_rate": 1.0189387286890295e-05, + "loss": 1.5604, + "step": 2801 + }, + { + "epoch": 26.75, + "learning_rate": 1.0175820700149233e-05, + "loss": 1.311, + "step": 2802 + }, + { + "epoch": 26.76, + "learning_rate": 1.0162260068780595e-05, + "loss": 1.3021, + "step": 2803 + }, + { + "epoch": 26.77, + "learning_rate": 1.0148705401004766e-05, + "loss": 1.633, + "step": 2804 + }, + { + "epoch": 26.78, + "learning_rate": 1.0135156705038533e-05, + "loss": 1.5187, + "step": 2805 + }, + { + "epoch": 26.79, + "learning_rate": 1.0121613989095047e-05, + "loss": 1.1938, + "step": 2806 + }, + { + "epoch": 26.8, + "learning_rate": 1.0108077261383843e-05, + "loss": 1.8009, + "step": 2807 + }, + { + "epoch": 26.81, + "learning_rate": 1.009454653011082e-05, + "loss": 1.5073, + "step": 2808 + }, + { + "epoch": 26.82, + "learning_rate": 1.0081021803478252e-05, + "loss": 1.6606, + "step": 2809 + }, + { + "epoch": 26.83, + "learning_rate": 1.006750308968476e-05, + "loss": 1.8056, + "step": 2810 + }, + { + "epoch": 26.84, + "learning_rate": 1.0053990396925328e-05, + "loss": 1.3724, + "step": 2811 + }, + { + "epoch": 26.84, + "learning_rate": 1.0040483733391289e-05, + "loss": 1.6012, + "step": 2812 + }, + { + "epoch": 26.85, + "learning_rate": 1.0026983107270327e-05, + "loss": 1.4344, + "step": 2813 + }, + { + "epoch": 26.86, + "learning_rate": 1.0013488526746444e-05, + "loss": 1.3578, + "step": 2814 + }, + { + "epoch": 26.87, + "learning_rate": 1.0000000000000006e-05, + "loss": 1.3365, + "step": 2815 + }, + { + "epoch": 26.88, + "learning_rate": 9.986517535207686e-06, + "loss": 1.6094, + "step": 2816 + }, + { + "epoch": 26.89, + "learning_rate": 9.973041140542502e-06, + "loss": 1.3857, + "step": 2817 + }, + { + "epoch": 26.9, + "learning_rate": 9.959570824173776e-06, + "loss": 1.733, + "step": 2818 + }, + { + "epoch": 26.91, + "learning_rate": 9.946106594267155e-06, + "loss": 1.3319, + "step": 2819 + }, + { + "epoch": 26.92, + "learning_rate": 9.932648458984594e-06, + "loss": 1.4336, + "step": 2820 + }, + { + "epoch": 26.93, + "learning_rate": 9.919196426484352e-06, + "loss": 1.663, + "step": 2821 + }, + { + "epoch": 26.94, + "learning_rate": 9.905750504920988e-06, + "loss": 1.2911, + "step": 2822 + }, + { + "epoch": 26.95, + "learning_rate": 9.892310702445357e-06, + "loss": 1.6328, + "step": 2823 + }, + { + "epoch": 26.96, + "learning_rate": 9.878877027204611e-06, + "loss": 1.2483, + "step": 2824 + }, + { + "epoch": 26.97, + "learning_rate": 9.865449487342178e-06, + "loss": 1.4838, + "step": 2825 + }, + { + "epoch": 26.98, + "learning_rate": 9.852028090997773e-06, + "loss": 1.3626, + "step": 2826 + }, + { + "epoch": 26.99, + "learning_rate": 9.83861284630739e-06, + "loss": 1.6142, + "step": 2827 + }, + { + "epoch": 27.0, + "learning_rate": 9.825203761403275e-06, + "loss": 1.7158, + "step": 2828 + }, + { + "epoch": 27.01, + "learning_rate": 9.811800844413964e-06, + "loss": 1.7274, + "step": 2829 + }, + { + "epoch": 27.02, + "learning_rate": 9.798404103464238e-06, + "loss": 1.1903, + "step": 2830 + }, + { + "epoch": 27.03, + "learning_rate": 9.785013546675145e-06, + "loss": 1.514, + "step": 2831 + }, + { + "epoch": 27.04, + "learning_rate": 9.771629182163975e-06, + "loss": 1.8397, + "step": 2832 + }, + { + "epoch": 27.05, + "learning_rate": 9.758251018044274e-06, + "loss": 1.6419, + "step": 2833 + }, + { + "epoch": 27.05, + "learning_rate": 9.744879062425818e-06, + "loss": 1.3573, + "step": 2834 + }, + { + "epoch": 27.06, + "learning_rate": 9.731513323414627e-06, + "loss": 1.6292, + "step": 2835 + }, + { + "epoch": 27.07, + "learning_rate": 9.718153809112954e-06, + "loss": 1.4934, + "step": 2836 + }, + { + "epoch": 27.08, + "learning_rate": 9.704800527619271e-06, + "loss": 2.0658, + "step": 2837 + }, + { + "epoch": 27.09, + "learning_rate": 9.691453487028278e-06, + "loss": 1.6922, + "step": 2838 + }, + { + "epoch": 27.1, + "learning_rate": 9.678112695430888e-06, + "loss": 1.5602, + "step": 2839 + }, + { + "epoch": 27.11, + "learning_rate": 9.664778160914236e-06, + "loss": 1.4883, + "step": 2840 + }, + { + "epoch": 27.12, + "learning_rate": 9.651449891561642e-06, + "loss": 2.0361, + "step": 2841 + }, + { + "epoch": 27.13, + "learning_rate": 9.63812789545265e-06, + "loss": 1.6767, + "step": 2842 + }, + { + "epoch": 27.14, + "learning_rate": 9.624812180662987e-06, + "loss": 1.7158, + "step": 2843 + }, + { + "epoch": 27.15, + "learning_rate": 9.611502755264586e-06, + "loss": 1.295, + "step": 2844 + }, + { + "epoch": 27.16, + "learning_rate": 9.598199627325555e-06, + "loss": 1.6996, + "step": 2845 + }, + { + "epoch": 27.17, + "learning_rate": 9.58490280491019e-06, + "loss": 1.317, + "step": 2846 + }, + { + "epoch": 27.18, + "learning_rate": 9.571612296078962e-06, + "loss": 1.9413, + "step": 2847 + }, + { + "epoch": 27.19, + "learning_rate": 9.558328108888521e-06, + "loss": 1.293, + "step": 2848 + }, + { + "epoch": 27.2, + "learning_rate": 9.545050251391685e-06, + "loss": 1.3997, + "step": 2849 + }, + { + "epoch": 27.21, + "learning_rate": 9.531778731637416e-06, + "loss": 1.279, + "step": 2850 + }, + { + "epoch": 27.22, + "learning_rate": 9.518513557670852e-06, + "loss": 1.6311, + "step": 2851 + }, + { + "epoch": 27.23, + "learning_rate": 9.505254737533288e-06, + "loss": 1.8417, + "step": 2852 + }, + { + "epoch": 27.24, + "learning_rate": 9.492002279262154e-06, + "loss": 1.8815, + "step": 2853 + }, + { + "epoch": 27.25, + "learning_rate": 9.478756190891032e-06, + "loss": 1.6442, + "step": 2854 + }, + { + "epoch": 27.26, + "learning_rate": 9.465516480449637e-06, + "loss": 1.8327, + "step": 2855 + }, + { + "epoch": 27.26, + "learning_rate": 9.452283155963832e-06, + "loss": 1.4884, + "step": 2856 + }, + { + "epoch": 27.27, + "learning_rate": 9.439056225455583e-06, + "loss": 1.531, + "step": 2857 + }, + { + "epoch": 27.28, + "learning_rate": 9.425835696943e-06, + "loss": 1.326, + "step": 2858 + }, + { + "epoch": 27.29, + "learning_rate": 9.412621578440303e-06, + "loss": 1.506, + "step": 2859 + }, + { + "epoch": 27.3, + "learning_rate": 9.39941387795784e-06, + "loss": 1.3937, + "step": 2860 + }, + { + "epoch": 27.31, + "learning_rate": 9.386212603502047e-06, + "loss": 1.3287, + "step": 2861 + }, + { + "epoch": 27.32, + "learning_rate": 9.373017763075485e-06, + "loss": 1.8481, + "step": 2862 + }, + { + "epoch": 27.33, + "learning_rate": 9.3598293646768e-06, + "loss": 1.7084, + "step": 2863 + }, + { + "epoch": 27.34, + "learning_rate": 9.346647416300742e-06, + "loss": 1.912, + "step": 2864 + }, + { + "epoch": 27.35, + "learning_rate": 9.333471925938146e-06, + "loss": 1.4633, + "step": 2865 + }, + { + "epoch": 27.36, + "learning_rate": 9.320302901575935e-06, + "loss": 1.4562, + "step": 2866 + }, + { + "epoch": 27.37, + "learning_rate": 9.30714035119712e-06, + "loss": 1.6216, + "step": 2867 + }, + { + "epoch": 27.38, + "learning_rate": 9.293984282780758e-06, + "loss": 1.2655, + "step": 2868 + }, + { + "epoch": 27.39, + "learning_rate": 9.28083470430201e-06, + "loss": 1.2996, + "step": 2869 + }, + { + "epoch": 27.4, + "learning_rate": 9.267691623732087e-06, + "loss": 1.4443, + "step": 2870 + }, + { + "epoch": 27.41, + "learning_rate": 9.254555049038266e-06, + "loss": 1.9278, + "step": 2871 + }, + { + "epoch": 27.42, + "learning_rate": 9.241424988183878e-06, + "loss": 1.7681, + "step": 2872 + }, + { + "epoch": 27.43, + "learning_rate": 9.228301449128308e-06, + "loss": 1.9479, + "step": 2873 + }, + { + "epoch": 27.44, + "learning_rate": 9.215184439826981e-06, + "loss": 1.5484, + "step": 2874 + }, + { + "epoch": 27.45, + "learning_rate": 9.202073968231369e-06, + "loss": 1.4043, + "step": 2875 + }, + { + "epoch": 27.46, + "learning_rate": 9.18897004228898e-06, + "loss": 1.7652, + "step": 2876 + }, + { + "epoch": 27.47, + "learning_rate": 9.175872669943355e-06, + "loss": 1.6967, + "step": 2877 + }, + { + "epoch": 27.47, + "learning_rate": 9.162781859134061e-06, + "loss": 1.6073, + "step": 2878 + }, + { + "epoch": 27.48, + "learning_rate": 9.149697617796687e-06, + "loss": 1.6989, + "step": 2879 + }, + { + "epoch": 27.49, + "learning_rate": 9.136619953862838e-06, + "loss": 1.5986, + "step": 2880 + }, + { + "epoch": 27.5, + "learning_rate": 9.123548875260144e-06, + "loss": 1.3991, + "step": 2881 + }, + { + "epoch": 27.51, + "learning_rate": 9.110484389912218e-06, + "loss": 1.6632, + "step": 2882 + }, + { + "epoch": 27.52, + "learning_rate": 9.097426505738695e-06, + "loss": 1.0419, + "step": 2883 + }, + { + "epoch": 27.53, + "learning_rate": 9.084375230655209e-06, + "loss": 1.2821, + "step": 2884 + }, + { + "epoch": 27.54, + "learning_rate": 9.071330572573382e-06, + "loss": 1.4647, + "step": 2885 + }, + { + "epoch": 27.55, + "learning_rate": 9.058292539400824e-06, + "loss": 1.8963, + "step": 2886 + }, + { + "epoch": 27.56, + "learning_rate": 9.04526113904113e-06, + "loss": 1.3033, + "step": 2887 + }, + { + "epoch": 27.57, + "learning_rate": 9.03223637939388e-06, + "loss": 1.8094, + "step": 2888 + }, + { + "epoch": 27.58, + "learning_rate": 9.01921826835462e-06, + "loss": 1.4723, + "step": 2889 + }, + { + "epoch": 27.59, + "learning_rate": 9.006206813814868e-06, + "loss": 1.3087, + "step": 2890 + }, + { + "epoch": 27.6, + "learning_rate": 8.993202023662114e-06, + "loss": 1.2881, + "step": 2891 + }, + { + "epoch": 27.61, + "learning_rate": 8.980203905779794e-06, + "loss": 1.5642, + "step": 2892 + }, + { + "epoch": 27.62, + "learning_rate": 8.967212468047312e-06, + "loss": 1.4341, + "step": 2893 + }, + { + "epoch": 27.63, + "learning_rate": 8.954227718340025e-06, + "loss": 1.5455, + "step": 2894 + }, + { + "epoch": 27.64, + "learning_rate": 8.941249664529215e-06, + "loss": 1.4381, + "step": 2895 + }, + { + "epoch": 27.65, + "learning_rate": 8.928278314482124e-06, + "loss": 1.8877, + "step": 2896 + }, + { + "epoch": 27.66, + "learning_rate": 8.915313676061925e-06, + "loss": 1.3971, + "step": 2897 + }, + { + "epoch": 27.67, + "learning_rate": 8.902355757127723e-06, + "loss": 1.7332, + "step": 2898 + }, + { + "epoch": 27.68, + "learning_rate": 8.88940456553455e-06, + "loss": 1.062, + "step": 2899 + }, + { + "epoch": 27.68, + "learning_rate": 8.876460109133356e-06, + "loss": 1.6749, + "step": 2900 + }, + { + "epoch": 27.69, + "learning_rate": 8.863522395771014e-06, + "loss": 1.2884, + "step": 2901 + }, + { + "epoch": 27.7, + "learning_rate": 8.850591433290305e-06, + "loss": 1.7454, + "step": 2902 + }, + { + "epoch": 27.71, + "learning_rate": 8.83766722952992e-06, + "loss": 1.4954, + "step": 2903 + }, + { + "epoch": 27.72, + "learning_rate": 8.824749792324452e-06, + "loss": 1.5715, + "step": 2904 + }, + { + "epoch": 27.73, + "learning_rate": 8.811839129504391e-06, + "loss": 1.8461, + "step": 2905 + }, + { + "epoch": 27.74, + "learning_rate": 8.798935248896126e-06, + "loss": 1.2963, + "step": 2906 + }, + { + "epoch": 27.75, + "learning_rate": 8.78603815832192e-06, + "loss": 1.753, + "step": 2907 + }, + { + "epoch": 27.76, + "learning_rate": 8.77314786559995e-06, + "loss": 1.4852, + "step": 2908 + }, + { + "epoch": 27.77, + "learning_rate": 8.76026437854423e-06, + "loss": 1.259, + "step": 2909 + }, + { + "epoch": 27.78, + "learning_rate": 8.747387704964678e-06, + "loss": 1.2822, + "step": 2910 + }, + { + "epoch": 27.79, + "learning_rate": 8.734517852667077e-06, + "loss": 1.5785, + "step": 2911 + }, + { + "epoch": 27.8, + "learning_rate": 8.721654829453072e-06, + "loss": 1.4628, + "step": 2912 + }, + { + "epoch": 27.81, + "learning_rate": 8.708798643120172e-06, + "loss": 1.335, + "step": 2913 + }, + { + "epoch": 27.82, + "learning_rate": 8.695949301461728e-06, + "loss": 1.7141, + "step": 2914 + }, + { + "epoch": 27.83, + "learning_rate": 8.68310681226696e-06, + "loss": 1.613, + "step": 2915 + }, + { + "epoch": 27.84, + "learning_rate": 8.670271183320928e-06, + "loss": 1.1629, + "step": 2916 + }, + { + "epoch": 27.85, + "learning_rate": 8.657442422404527e-06, + "loss": 1.5205, + "step": 2917 + }, + { + "epoch": 27.86, + "learning_rate": 8.6446205372945e-06, + "loss": 1.113, + "step": 2918 + }, + { + "epoch": 27.87, + "learning_rate": 8.631805535763402e-06, + "loss": 1.4083, + "step": 2919 + }, + { + "epoch": 27.88, + "learning_rate": 8.618997425579634e-06, + "loss": 1.8069, + "step": 2920 + }, + { + "epoch": 27.89, + "learning_rate": 8.606196214507416e-06, + "loss": 1.4242, + "step": 2921 + }, + { + "epoch": 27.89, + "learning_rate": 8.59340191030678e-06, + "loss": 1.7203, + "step": 2922 + }, + { + "epoch": 27.9, + "learning_rate": 8.58061452073358e-06, + "loss": 1.766, + "step": 2923 + }, + { + "epoch": 27.91, + "learning_rate": 8.567834053539466e-06, + "loss": 1.4567, + "step": 2924 + }, + { + "epoch": 27.92, + "learning_rate": 8.55506051647191e-06, + "loss": 1.5017, + "step": 2925 + }, + { + "epoch": 27.93, + "learning_rate": 8.542293917274158e-06, + "loss": 1.4074, + "step": 2926 + }, + { + "epoch": 27.94, + "learning_rate": 8.529534263685268e-06, + "loss": 1.2303, + "step": 2927 + }, + { + "epoch": 27.95, + "learning_rate": 8.516781563440085e-06, + "loss": 1.5954, + "step": 2928 + }, + { + "epoch": 27.96, + "learning_rate": 8.504035824269236e-06, + "loss": 1.5022, + "step": 2929 + }, + { + "epoch": 27.97, + "learning_rate": 8.491297053899135e-06, + "loss": 1.8951, + "step": 2930 + }, + { + "epoch": 27.98, + "learning_rate": 8.478565260051959e-06, + "loss": 1.4753, + "step": 2931 + }, + { + "epoch": 27.99, + "learning_rate": 8.465840450445666e-06, + "loss": 1.4448, + "step": 2932 + }, + { + "epoch": 28.0, + "learning_rate": 8.453122632793977e-06, + "loss": 1.6566, + "step": 2933 + }, + { + "epoch": 28.01, + "learning_rate": 8.440411814806377e-06, + "loss": 1.1525, + "step": 2934 + }, + { + "epoch": 28.02, + "learning_rate": 8.427708004188111e-06, + "loss": 1.372, + "step": 2935 + }, + { + "epoch": 28.03, + "learning_rate": 8.415011208640154e-06, + "loss": 1.3116, + "step": 2936 + }, + { + "epoch": 28.04, + "learning_rate": 8.402321435859255e-06, + "loss": 1.6859, + "step": 2937 + }, + { + "epoch": 28.05, + "learning_rate": 8.389638693537896e-06, + "loss": 1.3074, + "step": 2938 + }, + { + "epoch": 28.06, + "learning_rate": 8.376962989364297e-06, + "loss": 1.8422, + "step": 2939 + }, + { + "epoch": 28.07, + "learning_rate": 8.364294331022411e-06, + "loss": 1.8411, + "step": 2940 + }, + { + "epoch": 28.08, + "learning_rate": 8.351632726191921e-06, + "loss": 1.4699, + "step": 2941 + }, + { + "epoch": 28.09, + "learning_rate": 8.338978182548234e-06, + "loss": 1.7167, + "step": 2942 + }, + { + "epoch": 28.1, + "learning_rate": 8.326330707762476e-06, + "loss": 1.1935, + "step": 2943 + }, + { + "epoch": 28.11, + "learning_rate": 8.31369030950149e-06, + "loss": 1.7694, + "step": 2944 + }, + { + "epoch": 28.11, + "learning_rate": 8.301056995427823e-06, + "loss": 1.4604, + "step": 2945 + }, + { + "epoch": 28.12, + "learning_rate": 8.288430773199735e-06, + "loss": 1.9495, + "step": 2946 + }, + { + "epoch": 28.13, + "learning_rate": 8.275811650471186e-06, + "loss": 1.6463, + "step": 2947 + }, + { + "epoch": 28.14, + "learning_rate": 8.263199634891826e-06, + "loss": 1.3826, + "step": 2948 + }, + { + "epoch": 28.15, + "learning_rate": 8.250594734107012e-06, + "loss": 1.6183, + "step": 2949 + }, + { + "epoch": 28.16, + "learning_rate": 8.237996955757758e-06, + "loss": 1.8059, + "step": 2950 + }, + { + "epoch": 28.17, + "learning_rate": 8.225406307480792e-06, + "loss": 1.5125, + "step": 2951 + }, + { + "epoch": 28.18, + "learning_rate": 8.212822796908504e-06, + "loss": 1.647, + "step": 2952 + }, + { + "epoch": 28.19, + "learning_rate": 8.200246431668961e-06, + "loss": 1.5127, + "step": 2953 + }, + { + "epoch": 28.2, + "learning_rate": 8.187677219385899e-06, + "loss": 1.1933, + "step": 2954 + }, + { + "epoch": 28.21, + "learning_rate": 8.175115167678715e-06, + "loss": 1.5523, + "step": 2955 + }, + { + "epoch": 28.22, + "learning_rate": 8.162560284162468e-06, + "loss": 1.6955, + "step": 2956 + }, + { + "epoch": 28.23, + "learning_rate": 8.150012576447872e-06, + "loss": 1.2973, + "step": 2957 + }, + { + "epoch": 28.24, + "learning_rate": 8.137472052141286e-06, + "loss": 1.4322, + "step": 2958 + }, + { + "epoch": 28.25, + "learning_rate": 8.124938718844724e-06, + "loss": 2.0217, + "step": 2959 + }, + { + "epoch": 28.26, + "learning_rate": 8.112412584155832e-06, + "loss": 1.2762, + "step": 2960 + }, + { + "epoch": 28.27, + "learning_rate": 8.099893655667892e-06, + "loss": 1.5377, + "step": 2961 + }, + { + "epoch": 28.28, + "learning_rate": 8.087381940969834e-06, + "loss": 1.6437, + "step": 2962 + }, + { + "epoch": 28.29, + "learning_rate": 8.074877447646186e-06, + "loss": 1.531, + "step": 2963 + }, + { + "epoch": 28.3, + "learning_rate": 8.06238018327712e-06, + "loss": 1.7565, + "step": 2964 + }, + { + "epoch": 28.31, + "learning_rate": 8.04989015543842e-06, + "loss": 1.6079, + "step": 2965 + }, + { + "epoch": 28.32, + "learning_rate": 8.037407371701487e-06, + "loss": 1.7219, + "step": 2966 + }, + { + "epoch": 28.32, + "learning_rate": 8.024931839633323e-06, + "loss": 1.4672, + "step": 2967 + }, + { + "epoch": 28.33, + "learning_rate": 8.012463566796542e-06, + "loss": 1.9537, + "step": 2968 + }, + { + "epoch": 28.34, + "learning_rate": 8.000002560749352e-06, + "loss": 1.5811, + "step": 2969 + }, + { + "epoch": 28.35, + "learning_rate": 7.987548829045558e-06, + "loss": 1.43, + "step": 2970 + }, + { + "epoch": 28.36, + "learning_rate": 7.975102379234556e-06, + "loss": 1.4324, + "step": 2971 + }, + { + "epoch": 28.37, + "learning_rate": 7.962663218861324e-06, + "loss": 1.2979, + "step": 2972 + }, + { + "epoch": 28.38, + "learning_rate": 7.950231355466426e-06, + "loss": 1.9095, + "step": 2973 + }, + { + "epoch": 28.39, + "learning_rate": 7.937806796586001e-06, + "loss": 1.6857, + "step": 2974 + }, + { + "epoch": 28.4, + "learning_rate": 7.92538954975176e-06, + "loss": 1.6272, + "step": 2975 + }, + { + "epoch": 28.41, + "learning_rate": 7.912979622490984e-06, + "loss": 1.2397, + "step": 2976 + }, + { + "epoch": 28.42, + "learning_rate": 7.900577022326503e-06, + "loss": 1.8098, + "step": 2977 + }, + { + "epoch": 28.43, + "learning_rate": 7.888181756776725e-06, + "loss": 1.5566, + "step": 2978 + }, + { + "epoch": 28.44, + "learning_rate": 7.8757938333556e-06, + "loss": 1.8447, + "step": 2979 + }, + { + "epoch": 28.45, + "learning_rate": 7.863413259572634e-06, + "loss": 1.7123, + "step": 2980 + }, + { + "epoch": 28.46, + "learning_rate": 7.851040042932869e-06, + "loss": 1.3322, + "step": 2981 + }, + { + "epoch": 28.47, + "learning_rate": 7.838674190936897e-06, + "loss": 1.91, + "step": 2982 + }, + { + "epoch": 28.48, + "learning_rate": 7.826315711080838e-06, + "loss": 1.5103, + "step": 2983 + }, + { + "epoch": 28.49, + "learning_rate": 7.813964610856346e-06, + "loss": 1.2631, + "step": 2984 + }, + { + "epoch": 28.5, + "learning_rate": 7.801620897750602e-06, + "loss": 1.3333, + "step": 2985 + }, + { + "epoch": 28.51, + "learning_rate": 7.789284579246308e-06, + "loss": 1.5915, + "step": 2986 + }, + { + "epoch": 28.52, + "learning_rate": 7.77695566282169e-06, + "loss": 1.4337, + "step": 2987 + }, + { + "epoch": 28.53, + "learning_rate": 7.764634155950466e-06, + "loss": 1.4089, + "step": 2988 + }, + { + "epoch": 28.53, + "learning_rate": 7.752320066101889e-06, + "loss": 1.5998, + "step": 2989 + }, + { + "epoch": 28.54, + "learning_rate": 7.740013400740695e-06, + "loss": 1.7803, + "step": 2990 + }, + { + "epoch": 28.55, + "learning_rate": 7.727714167327136e-06, + "loss": 1.5089, + "step": 2991 + }, + { + "epoch": 28.56, + "learning_rate": 7.715422373316948e-06, + "loss": 1.4767, + "step": 2992 + }, + { + "epoch": 28.57, + "learning_rate": 7.70313802616136e-06, + "loss": 1.5976, + "step": 2993 + }, + { + "epoch": 28.58, + "learning_rate": 7.690861133307093e-06, + "loss": 1.8934, + "step": 2994 + }, + { + "epoch": 28.59, + "learning_rate": 7.678591702196329e-06, + "loss": 1.8553, + "step": 2995 + }, + { + "epoch": 28.6, + "learning_rate": 7.66632974026675e-06, + "loss": 1.5636, + "step": 2996 + }, + { + "epoch": 28.61, + "learning_rate": 7.654075254951501e-06, + "loss": 1.4064, + "step": 2997 + }, + { + "epoch": 28.62, + "learning_rate": 7.641828253679194e-06, + "loss": 1.3159, + "step": 2998 + }, + { + "epoch": 28.63, + "learning_rate": 7.629588743873903e-06, + "loss": 1.849, + "step": 2999 + }, + { + "epoch": 28.64, + "learning_rate": 7.6173567329551655e-06, + "loss": 1.3247, + "step": 3000 + }, + { + "epoch": 28.65, + "learning_rate": 7.605132228337968e-06, + "loss": 1.6869, + "step": 3001 + }, + { + "epoch": 28.66, + "learning_rate": 7.5929152374327515e-06, + "loss": 1.7235, + "step": 3002 + }, + { + "epoch": 28.67, + "learning_rate": 7.580705767645404e-06, + "loss": 1.6966, + "step": 3003 + }, + { + "epoch": 28.68, + "learning_rate": 7.56850382637724e-06, + "loss": 1.2246, + "step": 3004 + }, + { + "epoch": 28.69, + "learning_rate": 7.556309421025026e-06, + "loss": 1.6411, + "step": 3005 + }, + { + "epoch": 28.7, + "learning_rate": 7.544122558980951e-06, + "loss": 1.3714, + "step": 3006 + }, + { + "epoch": 28.71, + "learning_rate": 7.5319432476326384e-06, + "loss": 1.3944, + "step": 3007 + }, + { + "epoch": 28.72, + "learning_rate": 7.51977149436313e-06, + "loss": 1.5817, + "step": 3008 + }, + { + "epoch": 28.73, + "learning_rate": 7.507607306550888e-06, + "loss": 1.7454, + "step": 3009 + }, + { + "epoch": 28.74, + "learning_rate": 7.495450691569786e-06, + "loss": 1.3643, + "step": 3010 + }, + { + "epoch": 28.74, + "learning_rate": 7.483301656789108e-06, + "loss": 1.6135, + "step": 3011 + }, + { + "epoch": 28.75, + "learning_rate": 7.471160209573543e-06, + "loss": 1.5535, + "step": 3012 + }, + { + "epoch": 28.76, + "learning_rate": 7.459026357283181e-06, + "loss": 1.2622, + "step": 3013 + }, + { + "epoch": 28.77, + "learning_rate": 7.446900107273509e-06, + "loss": 1.8498, + "step": 3014 + }, + { + "epoch": 28.78, + "learning_rate": 7.4347814668954e-06, + "loss": 1.7284, + "step": 3015 + }, + { + "epoch": 28.79, + "learning_rate": 7.42267044349513e-06, + "loss": 1.8606, + "step": 3016 + }, + { + "epoch": 28.8, + "learning_rate": 7.41056704441433e-06, + "loss": 1.2496, + "step": 3017 + }, + { + "epoch": 28.81, + "learning_rate": 7.3984712769900316e-06, + "loss": 1.5049, + "step": 3018 + }, + { + "epoch": 28.82, + "learning_rate": 7.386383148554634e-06, + "loss": 1.3088, + "step": 3019 + }, + { + "epoch": 28.83, + "learning_rate": 7.374302666435904e-06, + "loss": 1.465, + "step": 3020 + }, + { + "epoch": 28.84, + "learning_rate": 7.362229837956975e-06, + "loss": 1.7779, + "step": 3021 + }, + { + "epoch": 28.85, + "learning_rate": 7.350164670436344e-06, + "loss": 1.8081, + "step": 3022 + }, + { + "epoch": 28.86, + "learning_rate": 7.338107171187854e-06, + "loss": 1.4781, + "step": 3023 + }, + { + "epoch": 28.87, + "learning_rate": 7.326057347520707e-06, + "loss": 1.8476, + "step": 3024 + }, + { + "epoch": 28.88, + "learning_rate": 7.314015206739456e-06, + "loss": 1.4018, + "step": 3025 + }, + { + "epoch": 28.89, + "learning_rate": 7.301980756143985e-06, + "loss": 1.5169, + "step": 3026 + }, + { + "epoch": 28.9, + "learning_rate": 7.2899540030295265e-06, + "loss": 1.9924, + "step": 3027 + }, + { + "epoch": 28.91, + "learning_rate": 7.277934954686643e-06, + "loss": 1.4315, + "step": 3028 + }, + { + "epoch": 28.92, + "learning_rate": 7.265923618401225e-06, + "loss": 1.4139, + "step": 3029 + }, + { + "epoch": 28.93, + "learning_rate": 7.253920001454498e-06, + "loss": 1.4788, + "step": 3030 + }, + { + "epoch": 28.94, + "learning_rate": 7.241924111122984e-06, + "loss": 2.0003, + "step": 3031 + }, + { + "epoch": 28.95, + "learning_rate": 7.229935954678544e-06, + "loss": 1.4435, + "step": 3032 + }, + { + "epoch": 28.95, + "learning_rate": 7.217955539388344e-06, + "loss": 1.7146, + "step": 3033 + }, + { + "epoch": 28.96, + "learning_rate": 7.205982872514856e-06, + "loss": 1.4157, + "step": 3034 + }, + { + "epoch": 28.97, + "learning_rate": 7.194017961315858e-06, + "loss": 1.4048, + "step": 3035 + }, + { + "epoch": 28.98, + "learning_rate": 7.18206081304442e-06, + "loss": 1.1715, + "step": 3036 + }, + { + "epoch": 28.99, + "learning_rate": 7.170111434948914e-06, + "loss": 1.9549, + "step": 3037 + }, + { + "epoch": 29.0, + "learning_rate": 7.158169834272999e-06, + "loss": 1.5431, + "step": 3038 + }, + { + "epoch": 29.01, + "learning_rate": 7.1462360182556145e-06, + "loss": 1.4471, + "step": 3039 + }, + { + "epoch": 29.02, + "learning_rate": 7.134309994130988e-06, + "loss": 1.3814, + "step": 3040 + }, + { + "epoch": 29.03, + "learning_rate": 7.1223917691286184e-06, + "loss": 1.6129, + "step": 3041 + }, + { + "epoch": 29.04, + "learning_rate": 7.110481350473282e-06, + "loss": 1.7506, + "step": 3042 + }, + { + "epoch": 29.05, + "learning_rate": 7.098578745385025e-06, + "loss": 1.4226, + "step": 3043 + }, + { + "epoch": 29.06, + "learning_rate": 7.086683961079139e-06, + "loss": 1.3132, + "step": 3044 + }, + { + "epoch": 29.07, + "learning_rate": 7.074797004766194e-06, + "loss": 1.5644, + "step": 3045 + }, + { + "epoch": 29.08, + "learning_rate": 7.062917883652007e-06, + "loss": 1.35, + "step": 3046 + }, + { + "epoch": 29.09, + "learning_rate": 7.05104660493765e-06, + "loss": 1.7072, + "step": 3047 + }, + { + "epoch": 29.1, + "learning_rate": 7.039183175819435e-06, + "loss": 1.3603, + "step": 3048 + }, + { + "epoch": 29.11, + "learning_rate": 7.027327603488918e-06, + "loss": 1.4129, + "step": 3049 + }, + { + "epoch": 29.12, + "learning_rate": 7.015479895132895e-06, + "loss": 1.3799, + "step": 3050 + }, + { + "epoch": 29.13, + "learning_rate": 7.0036400579333914e-06, + "loss": 1.7638, + "step": 3051 + }, + { + "epoch": 29.14, + "learning_rate": 6.991808099067663e-06, + "loss": 1.7193, + "step": 3052 + }, + { + "epoch": 29.15, + "learning_rate": 6.9799840257081865e-06, + "loss": 1.646, + "step": 3053 + }, + { + "epoch": 29.16, + "learning_rate": 6.968167845022662e-06, + "loss": 1.4618, + "step": 3054 + }, + { + "epoch": 29.16, + "learning_rate": 6.956359564174007e-06, + "loss": 1.7036, + "step": 3055 + }, + { + "epoch": 29.17, + "learning_rate": 6.944559190320348e-06, + "loss": 1.6625, + "step": 3056 + }, + { + "epoch": 29.18, + "learning_rate": 6.932766730615008e-06, + "loss": 1.5293, + "step": 3057 + }, + { + "epoch": 29.19, + "learning_rate": 6.920982192206531e-06, + "loss": 1.3735, + "step": 3058 + }, + { + "epoch": 29.2, + "learning_rate": 6.909205582238645e-06, + "loss": 1.9298, + "step": 3059 + }, + { + "epoch": 29.21, + "learning_rate": 6.897436907850279e-06, + "loss": 1.4943, + "step": 3060 + }, + { + "epoch": 29.22, + "learning_rate": 6.885676176175548e-06, + "loss": 1.6306, + "step": 3061 + }, + { + "epoch": 29.23, + "learning_rate": 6.873923394343758e-06, + "loss": 1.3181, + "step": 3062 + }, + { + "epoch": 29.24, + "learning_rate": 6.862178569479387e-06, + "loss": 1.4401, + "step": 3063 + }, + { + "epoch": 29.25, + "learning_rate": 6.850441708702103e-06, + "loss": 1.7882, + "step": 3064 + }, + { + "epoch": 29.26, + "learning_rate": 6.838712819126722e-06, + "loss": 1.5631, + "step": 3065 + }, + { + "epoch": 29.27, + "learning_rate": 6.8269919078632515e-06, + "loss": 1.5322, + "step": 3066 + }, + { + "epoch": 29.28, + "learning_rate": 6.815278982016855e-06, + "loss": 1.566, + "step": 3067 + }, + { + "epoch": 29.29, + "learning_rate": 6.803574048687851e-06, + "loss": 1.3596, + "step": 3068 + }, + { + "epoch": 29.3, + "learning_rate": 6.791877114971717e-06, + "loss": 1.7078, + "step": 3069 + }, + { + "epoch": 29.31, + "learning_rate": 6.780188187959082e-06, + "loss": 1.6348, + "step": 3070 + }, + { + "epoch": 29.32, + "learning_rate": 6.76850727473573e-06, + "loss": 1.7435, + "step": 3071 + }, + { + "epoch": 29.33, + "learning_rate": 6.7568343823825555e-06, + "loss": 1.3811, + "step": 3072 + }, + { + "epoch": 29.34, + "learning_rate": 6.745169517975625e-06, + "loss": 2.2434, + "step": 3073 + }, + { + "epoch": 29.35, + "learning_rate": 6.733512688586126e-06, + "loss": 1.645, + "step": 3074 + }, + { + "epoch": 29.36, + "learning_rate": 6.72186390128037e-06, + "loss": 1.4508, + "step": 3075 + }, + { + "epoch": 29.37, + "learning_rate": 6.710223163119804e-06, + "loss": 1.6381, + "step": 3076 + }, + { + "epoch": 29.37, + "learning_rate": 6.698590481160987e-06, + "loss": 1.723, + "step": 3077 + }, + { + "epoch": 29.38, + "learning_rate": 6.686965862455599e-06, + "loss": 1.4259, + "step": 3078 + }, + { + "epoch": 29.39, + "learning_rate": 6.6753493140504275e-06, + "loss": 1.6813, + "step": 3079 + }, + { + "epoch": 29.4, + "learning_rate": 6.663740842987376e-06, + "loss": 1.4386, + "step": 3080 + }, + { + "epoch": 29.41, + "learning_rate": 6.652140456303442e-06, + "loss": 1.8682, + "step": 3081 + }, + { + "epoch": 29.42, + "learning_rate": 6.640548161030727e-06, + "loss": 1.3405, + "step": 3082 + }, + { + "epoch": 29.43, + "learning_rate": 6.628963964196428e-06, + "loss": 1.3506, + "step": 3083 + }, + { + "epoch": 29.44, + "learning_rate": 6.617387872822842e-06, + "loss": 1.4166, + "step": 3084 + }, + { + "epoch": 29.45, + "learning_rate": 6.605819893927325e-06, + "loss": 1.4867, + "step": 3085 + }, + { + "epoch": 29.46, + "learning_rate": 6.594260034522339e-06, + "loss": 1.496, + "step": 3086 + }, + { + "epoch": 29.47, + "learning_rate": 6.582708301615421e-06, + "loss": 1.6243, + "step": 3087 + }, + { + "epoch": 29.48, + "learning_rate": 6.571164702209176e-06, + "loss": 1.9608, + "step": 3088 + }, + { + "epoch": 29.49, + "learning_rate": 6.559629243301282e-06, + "loss": 1.5528, + "step": 3089 + }, + { + "epoch": 29.5, + "learning_rate": 6.548101931884481e-06, + "loss": 1.5493, + "step": 3090 + }, + { + "epoch": 29.51, + "learning_rate": 6.536582774946576e-06, + "loss": 1.79, + "step": 3091 + }, + { + "epoch": 29.52, + "learning_rate": 6.525071779470429e-06, + "loss": 1.6829, + "step": 3092 + }, + { + "epoch": 29.53, + "learning_rate": 6.513568952433951e-06, + "loss": 1.4561, + "step": 3093 + }, + { + "epoch": 29.54, + "learning_rate": 6.502074300810102e-06, + "loss": 1.6318, + "step": 3094 + }, + { + "epoch": 29.55, + "learning_rate": 6.490587831566888e-06, + "loss": 1.5038, + "step": 3095 + }, + { + "epoch": 29.56, + "learning_rate": 6.479109551667353e-06, + "loss": 1.6435, + "step": 3096 + }, + { + "epoch": 29.57, + "learning_rate": 6.46763946806958e-06, + "loss": 1.3145, + "step": 3097 + }, + { + "epoch": 29.58, + "learning_rate": 6.456177587726687e-06, + "loss": 1.6124, + "step": 3098 + }, + { + "epoch": 29.58, + "learning_rate": 6.4447239175868e-06, + "loss": 1.7352, + "step": 3099 + }, + { + "epoch": 29.59, + "learning_rate": 6.4332784645930845e-06, + "loss": 1.4099, + "step": 3100 + }, + { + "epoch": 29.6, + "learning_rate": 6.421841235683726e-06, + "loss": 1.5206, + "step": 3101 + }, + { + "epoch": 29.61, + "learning_rate": 6.410412237791919e-06, + "loss": 1.4258, + "step": 3102 + }, + { + "epoch": 29.62, + "learning_rate": 6.398991477845869e-06, + "loss": 1.3527, + "step": 3103 + }, + { + "epoch": 29.63, + "learning_rate": 6.387578962768788e-06, + "loss": 1.8365, + "step": 3104 + }, + { + "epoch": 29.64, + "learning_rate": 6.376174699478892e-06, + "loss": 1.8159, + "step": 3105 + }, + { + "epoch": 29.65, + "learning_rate": 6.364778694889391e-06, + "loss": 1.2343, + "step": 3106 + }, + { + "epoch": 29.66, + "learning_rate": 6.3533909559084915e-06, + "loss": 1.5592, + "step": 3107 + }, + { + "epoch": 29.67, + "learning_rate": 6.34201148943939e-06, + "loss": 1.5824, + "step": 3108 + }, + { + "epoch": 29.68, + "learning_rate": 6.330640302380264e-06, + "loss": 1.7248, + "step": 3109 + }, + { + "epoch": 29.69, + "learning_rate": 6.319277401624277e-06, + "loss": 1.4992, + "step": 3110 + }, + { + "epoch": 29.7, + "learning_rate": 6.307922794059576e-06, + "loss": 1.7862, + "step": 3111 + }, + { + "epoch": 29.71, + "learning_rate": 6.296576486569252e-06, + "loss": 1.5535, + "step": 3112 + }, + { + "epoch": 29.72, + "learning_rate": 6.2852384860313974e-06, + "loss": 1.2184, + "step": 3113 + }, + { + "epoch": 29.73, + "learning_rate": 6.273908799319055e-06, + "loss": 1.5397, + "step": 3114 + }, + { + "epoch": 29.74, + "learning_rate": 6.262587433300227e-06, + "loss": 1.3582, + "step": 3115 + }, + { + "epoch": 29.75, + "learning_rate": 6.251274394837874e-06, + "loss": 1.5799, + "step": 3116 + }, + { + "epoch": 29.76, + "learning_rate": 6.2399696907899085e-06, + "loss": 1.8437, + "step": 3117 + }, + { + "epoch": 29.77, + "learning_rate": 6.228673328009191e-06, + "loss": 1.8629, + "step": 3118 + }, + { + "epoch": 29.78, + "learning_rate": 6.217385313343525e-06, + "loss": 1.5028, + "step": 3119 + }, + { + "epoch": 29.79, + "learning_rate": 6.206105653635652e-06, + "loss": 1.3017, + "step": 3120 + }, + { + "epoch": 29.79, + "learning_rate": 6.194834355723249e-06, + "loss": 1.5684, + "step": 3121 + }, + { + "epoch": 29.8, + "learning_rate": 6.183571426438928e-06, + "loss": 1.2778, + "step": 3122 + }, + { + "epoch": 29.81, + "learning_rate": 6.172316872610222e-06, + "loss": 1.639, + "step": 3123 + }, + { + "epoch": 29.82, + "learning_rate": 6.16107070105959e-06, + "loss": 1.587, + "step": 3124 + }, + { + "epoch": 29.83, + "learning_rate": 6.149832918604422e-06, + "loss": 1.4172, + "step": 3125 + }, + { + "epoch": 29.84, + "learning_rate": 6.138603532056988e-06, + "loss": 1.6348, + "step": 3126 + }, + { + "epoch": 29.85, + "learning_rate": 6.127382548224503e-06, + "loss": 1.3124, + "step": 3127 + }, + { + "epoch": 29.86, + "learning_rate": 6.116169973909077e-06, + "loss": 1.3688, + "step": 3128 + }, + { + "epoch": 29.87, + "learning_rate": 6.104965815907715e-06, + "loss": 1.5573, + "step": 3129 + }, + { + "epoch": 29.88, + "learning_rate": 6.093770081012334e-06, + "loss": 1.8118, + "step": 3130 + }, + { + "epoch": 29.89, + "learning_rate": 6.082582776009729e-06, + "loss": 1.8416, + "step": 3131 + }, + { + "epoch": 29.9, + "learning_rate": 6.071403907681599e-06, + "loss": 1.544, + "step": 3132 + }, + { + "epoch": 29.91, + "learning_rate": 6.060233482804527e-06, + "loss": 1.2007, + "step": 3133 + }, + { + "epoch": 29.92, + "learning_rate": 6.049071508149959e-06, + "loss": 1.3516, + "step": 3134 + }, + { + "epoch": 29.93, + "learning_rate": 6.037917990484243e-06, + "loss": 1.438, + "step": 3135 + }, + { + "epoch": 29.94, + "learning_rate": 6.0267729365685875e-06, + "loss": 1.4501, + "step": 3136 + }, + { + "epoch": 29.95, + "learning_rate": 6.015636353159073e-06, + "loss": 1.831, + "step": 3137 + }, + { + "epoch": 29.96, + "learning_rate": 6.004508247006648e-06, + "loss": 1.6831, + "step": 3138 + }, + { + "epoch": 29.97, + "learning_rate": 5.993388624857115e-06, + "loss": 1.7547, + "step": 3139 + }, + { + "epoch": 29.98, + "learning_rate": 5.982277493451147e-06, + "loss": 1.4519, + "step": 3140 + }, + { + "epoch": 29.99, + "learning_rate": 5.971174859524249e-06, + "loss": 1.3019, + "step": 3141 + }, + { + "epoch": 30.0, + "learning_rate": 5.960080729806792e-06, + "loss": 1.1684, + "step": 3142 + }, + { + "epoch": 30.0, + "learning_rate": 5.948995111023985e-06, + "loss": 1.8403, + "step": 3143 + }, + { + "epoch": 30.01, + "learning_rate": 5.93791800989588e-06, + "loss": 1.3309, + "step": 3144 + }, + { + "epoch": 30.02, + "learning_rate": 5.926849433137367e-06, + "loss": 1.4393, + "step": 3145 + }, + { + "epoch": 30.03, + "learning_rate": 5.915789387458164e-06, + "loss": 1.7554, + "step": 3146 + }, + { + "epoch": 30.04, + "learning_rate": 5.904737879562823e-06, + "loss": 1.3628, + "step": 3147 + }, + { + "epoch": 30.05, + "learning_rate": 5.893694916150714e-06, + "loss": 1.5982, + "step": 3148 + }, + { + "epoch": 30.06, + "learning_rate": 5.882660503916031e-06, + "loss": 1.5018, + "step": 3149 + }, + { + "epoch": 30.07, + "learning_rate": 5.871634649547786e-06, + "loss": 1.304, + "step": 3150 + }, + { + "epoch": 30.08, + "learning_rate": 5.860617359729801e-06, + "loss": 1.1965, + "step": 3151 + }, + { + "epoch": 30.09, + "learning_rate": 5.8496086411407135e-06, + "loss": 1.6815, + "step": 3152 + }, + { + "epoch": 30.1, + "learning_rate": 5.838608500453941e-06, + "loss": 2.0383, + "step": 3153 + }, + { + "epoch": 30.11, + "learning_rate": 5.827616944337733e-06, + "loss": 1.3259, + "step": 3154 + }, + { + "epoch": 30.12, + "learning_rate": 5.816633979455111e-06, + "loss": 1.2554, + "step": 3155 + }, + { + "epoch": 30.13, + "learning_rate": 5.805659612463905e-06, + "loss": 1.6812, + "step": 3156 + }, + { + "epoch": 30.14, + "learning_rate": 5.794693850016721e-06, + "loss": 1.827, + "step": 3157 + }, + { + "epoch": 30.15, + "learning_rate": 5.783736698760958e-06, + "loss": 1.4143, + "step": 3158 + }, + { + "epoch": 30.16, + "learning_rate": 5.77278816533879e-06, + "loss": 1.3742, + "step": 3159 + }, + { + "epoch": 30.17, + "learning_rate": 5.761848256387166e-06, + "loss": 1.3268, + "step": 3160 + }, + { + "epoch": 30.18, + "learning_rate": 5.750916978537808e-06, + "loss": 1.4987, + "step": 3161 + }, + { + "epoch": 30.19, + "learning_rate": 5.7399943384172075e-06, + "loss": 1.0731, + "step": 3162 + }, + { + "epoch": 30.2, + "learning_rate": 5.72908034264662e-06, + "loss": 1.575, + "step": 3163 + }, + { + "epoch": 30.21, + "learning_rate": 5.718174997842061e-06, + "loss": 1.4451, + "step": 3164 + }, + { + "epoch": 30.21, + "learning_rate": 5.707278310614301e-06, + "loss": 1.8147, + "step": 3165 + }, + { + "epoch": 30.22, + "learning_rate": 5.696390287568856e-06, + "loss": 1.492, + "step": 3166 + }, + { + "epoch": 30.23, + "learning_rate": 5.685510935305998e-06, + "loss": 1.6562, + "step": 3167 + }, + { + "epoch": 30.24, + "learning_rate": 5.6746402604207405e-06, + "loss": 1.537, + "step": 3168 + }, + { + "epoch": 30.25, + "learning_rate": 5.6637782695028374e-06, + "loss": 1.394, + "step": 3169 + }, + { + "epoch": 30.26, + "learning_rate": 5.65292496913678e-06, + "loss": 1.6177, + "step": 3170 + }, + { + "epoch": 30.27, + "learning_rate": 5.642080365901783e-06, + "loss": 1.6287, + "step": 3171 + }, + { + "epoch": 30.28, + "learning_rate": 5.6312444663718014e-06, + "loss": 1.3312, + "step": 3172 + }, + { + "epoch": 30.29, + "learning_rate": 5.620417277115506e-06, + "loss": 1.4323, + "step": 3173 + }, + { + "epoch": 30.3, + "learning_rate": 5.609598804696288e-06, + "loss": 1.4475, + "step": 3174 + }, + { + "epoch": 30.31, + "learning_rate": 5.598789055672258e-06, + "loss": 1.2082, + "step": 3175 + }, + { + "epoch": 30.32, + "learning_rate": 5.587988036596232e-06, + "loss": 1.4271, + "step": 3176 + }, + { + "epoch": 30.33, + "learning_rate": 5.577195754015743e-06, + "loss": 1.4276, + "step": 3177 + }, + { + "epoch": 30.34, + "learning_rate": 5.566412214473021e-06, + "loss": 1.4889, + "step": 3178 + }, + { + "epoch": 30.35, + "learning_rate": 5.5556374245050045e-06, + "loss": 1.7508, + "step": 3179 + }, + { + "epoch": 30.36, + "learning_rate": 5.5448713906433095e-06, + "loss": 1.8767, + "step": 3180 + }, + { + "epoch": 30.37, + "learning_rate": 5.534114119414262e-06, + "loss": 1.5011, + "step": 3181 + }, + { + "epoch": 30.38, + "learning_rate": 5.523365617338872e-06, + "loss": 1.9089, + "step": 3182 + }, + { + "epoch": 30.39, + "learning_rate": 5.51262589093283e-06, + "loss": 1.6872, + "step": 3183 + }, + { + "epoch": 30.4, + "learning_rate": 5.50189494670651e-06, + "loss": 1.5149, + "step": 3184 + }, + { + "epoch": 30.41, + "learning_rate": 5.491172791164962e-06, + "loss": 1.6405, + "step": 3185 + }, + { + "epoch": 30.42, + "learning_rate": 5.4804594308079075e-06, + "loss": 1.5555, + "step": 3186 + }, + { + "epoch": 30.42, + "learning_rate": 5.469754872129734e-06, + "loss": 1.5855, + "step": 3187 + }, + { + "epoch": 30.43, + "learning_rate": 5.459059121619496e-06, + "loss": 1.2938, + "step": 3188 + }, + { + "epoch": 30.44, + "learning_rate": 5.448372185760913e-06, + "loss": 1.5827, + "step": 3189 + }, + { + "epoch": 30.45, + "learning_rate": 5.437694071032351e-06, + "loss": 1.3367, + "step": 3190 + }, + { + "epoch": 30.46, + "learning_rate": 5.427024783906838e-06, + "loss": 1.8339, + "step": 3191 + }, + { + "epoch": 30.47, + "learning_rate": 5.416364330852051e-06, + "loss": 1.5694, + "step": 3192 + }, + { + "epoch": 30.48, + "learning_rate": 5.405712718330294e-06, + "loss": 1.3101, + "step": 3193 + }, + { + "epoch": 30.49, + "learning_rate": 5.395069952798535e-06, + "loss": 1.505, + "step": 3194 + }, + { + "epoch": 30.5, + "learning_rate": 5.384436040708369e-06, + "loss": 1.5151, + "step": 3195 + }, + { + "epoch": 30.51, + "learning_rate": 5.373810988506025e-06, + "loss": 1.3818, + "step": 3196 + }, + { + "epoch": 30.52, + "learning_rate": 5.3631948026323585e-06, + "loss": 1.9471, + "step": 3197 + }, + { + "epoch": 30.53, + "learning_rate": 5.352587489522853e-06, + "loss": 1.255, + "step": 3198 + }, + { + "epoch": 30.54, + "learning_rate": 5.341989055607617e-06, + "loss": 1.8886, + "step": 3199 + }, + { + "epoch": 30.55, + "learning_rate": 5.331399507311368e-06, + "loss": 1.5933, + "step": 3200 + }, + { + "epoch": 30.56, + "learning_rate": 5.320818851053444e-06, + "loss": 1.9296, + "step": 3201 + }, + { + "epoch": 30.57, + "learning_rate": 5.310247093247795e-06, + "loss": 1.5586, + "step": 3202 + }, + { + "epoch": 30.58, + "learning_rate": 5.299684240302962e-06, + "loss": 1.6083, + "step": 3203 + }, + { + "epoch": 30.59, + "learning_rate": 5.2891302986221e-06, + "loss": 1.3259, + "step": 3204 + }, + { + "epoch": 30.6, + "learning_rate": 5.278585274602965e-06, + "loss": 1.6182, + "step": 3205 + }, + { + "epoch": 30.61, + "learning_rate": 5.2680491746379014e-06, + "loss": 1.7023, + "step": 3206 + }, + { + "epoch": 30.62, + "learning_rate": 5.25752200511384e-06, + "loss": 1.6414, + "step": 3207 + }, + { + "epoch": 30.63, + "learning_rate": 5.2470037724123065e-06, + "loss": 1.5384, + "step": 3208 + }, + { + "epoch": 30.63, + "learning_rate": 5.236494482909411e-06, + "loss": 1.5479, + "step": 3209 + }, + { + "epoch": 30.64, + "learning_rate": 5.225994142975826e-06, + "loss": 1.5854, + "step": 3210 + }, + { + "epoch": 30.65, + "learning_rate": 5.2155027589768114e-06, + "loss": 1.5158, + "step": 3211 + }, + { + "epoch": 30.66, + "learning_rate": 5.2050203372722e-06, + "loss": 1.4292, + "step": 3212 + }, + { + "epoch": 30.67, + "learning_rate": 5.194546884216385e-06, + "loss": 1.4009, + "step": 3213 + }, + { + "epoch": 30.68, + "learning_rate": 5.1840824061583265e-06, + "loss": 1.3805, + "step": 3214 + }, + { + "epoch": 30.69, + "learning_rate": 5.173626909441542e-06, + "loss": 1.6675, + "step": 3215 + }, + { + "epoch": 30.7, + "learning_rate": 5.1631804004041084e-06, + "loss": 1.8264, + "step": 3216 + }, + { + "epoch": 30.71, + "learning_rate": 5.15274288537865e-06, + "loss": 1.8331, + "step": 3217 + }, + { + "epoch": 30.72, + "learning_rate": 5.14231437069234e-06, + "loss": 1.5532, + "step": 3218 + }, + { + "epoch": 30.73, + "learning_rate": 5.131894862666902e-06, + "loss": 1.8134, + "step": 3219 + }, + { + "epoch": 30.74, + "learning_rate": 5.121484367618585e-06, + "loss": 1.5381, + "step": 3220 + }, + { + "epoch": 30.75, + "learning_rate": 5.111082891858186e-06, + "loss": 1.9318, + "step": 3221 + }, + { + "epoch": 30.76, + "learning_rate": 5.100690441691032e-06, + "loss": 1.4496, + "step": 3222 + }, + { + "epoch": 30.77, + "learning_rate": 5.090307023416981e-06, + "loss": 1.5944, + "step": 3223 + }, + { + "epoch": 30.78, + "learning_rate": 5.07993264333041e-06, + "loss": 1.0359, + "step": 3224 + }, + { + "epoch": 30.79, + "learning_rate": 5.069567307720223e-06, + "loss": 1.8135, + "step": 3225 + }, + { + "epoch": 30.8, + "learning_rate": 5.059211022869839e-06, + "loss": 1.8525, + "step": 3226 + }, + { + "epoch": 30.81, + "learning_rate": 5.048863795057191e-06, + "loss": 1.368, + "step": 3227 + }, + { + "epoch": 30.82, + "learning_rate": 5.038525630554718e-06, + "loss": 1.7258, + "step": 3228 + }, + { + "epoch": 30.83, + "learning_rate": 5.02819653562937e-06, + "loss": 1.2474, + "step": 3229 + }, + { + "epoch": 30.84, + "learning_rate": 5.017876516542599e-06, + "loss": 1.6888, + "step": 3230 + }, + { + "epoch": 30.84, + "learning_rate": 5.0075655795503485e-06, + "loss": 1.5436, + "step": 3231 + }, + { + "epoch": 30.85, + "learning_rate": 4.997263730903066e-06, + "loss": 1.6967, + "step": 3232 + }, + { + "epoch": 30.86, + "learning_rate": 4.986970976845687e-06, + "loss": 1.5586, + "step": 3233 + }, + { + "epoch": 30.87, + "learning_rate": 4.976687323617622e-06, + "loss": 1.4467, + "step": 3234 + }, + { + "epoch": 30.88, + "learning_rate": 4.96641277745278e-06, + "loss": 1.8825, + "step": 3235 + }, + { + "epoch": 30.89, + "learning_rate": 4.956147344579543e-06, + "loss": 1.6745, + "step": 3236 + }, + { + "epoch": 30.9, + "learning_rate": 4.945891031220771e-06, + "loss": 1.9534, + "step": 3237 + }, + { + "epoch": 30.91, + "learning_rate": 4.935643843593792e-06, + "loss": 1.4925, + "step": 3238 + }, + { + "epoch": 30.92, + "learning_rate": 4.925405787910405e-06, + "loss": 1.7466, + "step": 3239 + }, + { + "epoch": 30.93, + "learning_rate": 4.915176870376872e-06, + "loss": 1.3721, + "step": 3240 + }, + { + "epoch": 30.94, + "learning_rate": 4.9049570971939165e-06, + "loss": 1.4213, + "step": 3241 + }, + { + "epoch": 30.95, + "learning_rate": 4.894746474556717e-06, + "loss": 1.7836, + "step": 3242 + }, + { + "epoch": 30.96, + "learning_rate": 4.884545008654908e-06, + "loss": 1.3595, + "step": 3243 + }, + { + "epoch": 30.97, + "learning_rate": 4.874352705672571e-06, + "loss": 1.3384, + "step": 3244 + }, + { + "epoch": 30.98, + "learning_rate": 4.864169571788233e-06, + "loss": 1.3423, + "step": 3245 + }, + { + "epoch": 30.99, + "learning_rate": 4.853995613174862e-06, + "loss": 1.7847, + "step": 3246 + }, + { + "epoch": 31.0, + "learning_rate": 4.843830835999872e-06, + "loss": 1.9301, + "step": 3247 + }, + { + "epoch": 31.01, + "learning_rate": 4.833675246425094e-06, + "loss": 1.7643, + "step": 3248 + }, + { + "epoch": 31.02, + "learning_rate": 4.8235288506068024e-06, + "loss": 1.6659, + "step": 3249 + }, + { + "epoch": 31.03, + "learning_rate": 4.813391654695696e-06, + "loss": 1.4888, + "step": 3250 + }, + { + "epoch": 31.04, + "learning_rate": 4.803263664836899e-06, + "loss": 1.4817, + "step": 3251 + }, + { + "epoch": 31.05, + "learning_rate": 4.793144887169952e-06, + "loss": 1.3309, + "step": 3252 + }, + { + "epoch": 31.05, + "learning_rate": 4.783035327828809e-06, + "loss": 1.3576, + "step": 3253 + }, + { + "epoch": 31.06, + "learning_rate": 4.77293499294184e-06, + "loss": 1.8649, + "step": 3254 + }, + { + "epoch": 31.07, + "learning_rate": 4.7628438886318225e-06, + "loss": 1.5513, + "step": 3255 + }, + { + "epoch": 31.08, + "learning_rate": 4.752762021015938e-06, + "loss": 1.4117, + "step": 3256 + }, + { + "epoch": 31.09, + "learning_rate": 4.742689396205766e-06, + "loss": 1.5338, + "step": 3257 + }, + { + "epoch": 31.1, + "learning_rate": 4.732626020307287e-06, + "loss": 1.5556, + "step": 3258 + }, + { + "epoch": 31.11, + "learning_rate": 4.7225718994208756e-06, + "loss": 1.4056, + "step": 3259 + }, + { + "epoch": 31.12, + "learning_rate": 4.712527039641295e-06, + "loss": 1.7229, + "step": 3260 + }, + { + "epoch": 31.13, + "learning_rate": 4.702491447057684e-06, + "loss": 1.4433, + "step": 3261 + }, + { + "epoch": 31.14, + "learning_rate": 4.692465127753578e-06, + "loss": 1.8273, + "step": 3262 + }, + { + "epoch": 31.15, + "learning_rate": 4.682448087806886e-06, + "loss": 1.3867, + "step": 3263 + }, + { + "epoch": 31.16, + "learning_rate": 4.672440333289892e-06, + "loss": 1.4626, + "step": 3264 + }, + { + "epoch": 31.17, + "learning_rate": 4.66244187026925e-06, + "loss": 1.1233, + "step": 3265 + }, + { + "epoch": 31.18, + "learning_rate": 4.652452704805985e-06, + "loss": 1.6175, + "step": 3266 + }, + { + "epoch": 31.19, + "learning_rate": 4.642472842955479e-06, + "loss": 1.3901, + "step": 3267 + }, + { + "epoch": 31.2, + "learning_rate": 4.632502290767482e-06, + "loss": 1.4415, + "step": 3268 + }, + { + "epoch": 31.21, + "learning_rate": 4.622541054286094e-06, + "loss": 1.6652, + "step": 3269 + }, + { + "epoch": 31.22, + "learning_rate": 4.6125891395497746e-06, + "loss": 1.7718, + "step": 3270 + }, + { + "epoch": 31.23, + "learning_rate": 4.602646552591332e-06, + "loss": 1.535, + "step": 3271 + }, + { + "epoch": 31.24, + "learning_rate": 4.592713299437905e-06, + "loss": 1.776, + "step": 3272 + }, + { + "epoch": 31.25, + "learning_rate": 4.582789386110993e-06, + "loss": 1.8854, + "step": 3273 + }, + { + "epoch": 31.26, + "learning_rate": 4.572874818626427e-06, + "loss": 1.3451, + "step": 3274 + }, + { + "epoch": 31.26, + "learning_rate": 4.562969602994372e-06, + "loss": 1.3264, + "step": 3275 + }, + { + "epoch": 31.27, + "learning_rate": 4.553073745219323e-06, + "loss": 1.7529, + "step": 3276 + }, + { + "epoch": 31.28, + "learning_rate": 4.543187251300105e-06, + "loss": 1.2527, + "step": 3277 + }, + { + "epoch": 31.29, + "learning_rate": 4.533310127229871e-06, + "loss": 2.1529, + "step": 3278 + }, + { + "epoch": 31.3, + "learning_rate": 4.523442378996077e-06, + "loss": 1.265, + "step": 3279 + }, + { + "epoch": 31.31, + "learning_rate": 4.51358401258051e-06, + "loss": 1.2353, + "step": 3280 + }, + { + "epoch": 31.32, + "learning_rate": 4.503735033959269e-06, + "loss": 1.2931, + "step": 3281 + }, + { + "epoch": 31.33, + "learning_rate": 4.4938954491027605e-06, + "loss": 1.521, + "step": 3282 + }, + { + "epoch": 31.34, + "learning_rate": 4.484065263975692e-06, + "loss": 1.9144, + "step": 3283 + }, + { + "epoch": 31.35, + "learning_rate": 4.47424448453708e-06, + "loss": 1.7315, + "step": 3284 + }, + { + "epoch": 31.36, + "learning_rate": 4.464433116740237e-06, + "loss": 1.4539, + "step": 3285 + }, + { + "epoch": 31.37, + "learning_rate": 4.454631166532764e-06, + "loss": 1.6914, + "step": 3286 + }, + { + "epoch": 31.38, + "learning_rate": 4.444838639856568e-06, + "loss": 1.4085, + "step": 3287 + }, + { + "epoch": 31.39, + "learning_rate": 4.435055542647822e-06, + "loss": 1.5383, + "step": 3288 + }, + { + "epoch": 31.4, + "learning_rate": 4.425281880836998e-06, + "loss": 1.9074, + "step": 3289 + }, + { + "epoch": 31.41, + "learning_rate": 4.415517660348847e-06, + "loss": 1.4394, + "step": 3290 + }, + { + "epoch": 31.42, + "learning_rate": 4.4057628871023935e-06, + "loss": 1.3429, + "step": 3291 + }, + { + "epoch": 31.43, + "learning_rate": 4.396017567010939e-06, + "loss": 1.8038, + "step": 3292 + }, + { + "epoch": 31.44, + "learning_rate": 4.38628170598205e-06, + "loss": 1.8812, + "step": 3293 + }, + { + "epoch": 31.45, + "learning_rate": 4.376555309917559e-06, + "loss": 1.1976, + "step": 3294 + }, + { + "epoch": 31.46, + "learning_rate": 4.366838384713566e-06, + "loss": 1.2403, + "step": 3295 + }, + { + "epoch": 31.47, + "learning_rate": 4.357130936260423e-06, + "loss": 1.7486, + "step": 3296 + }, + { + "epoch": 31.47, + "learning_rate": 4.347432970442742e-06, + "loss": 1.7679, + "step": 3297 + }, + { + "epoch": 31.48, + "learning_rate": 4.337744493139386e-06, + "loss": 1.7652, + "step": 3298 + }, + { + "epoch": 31.49, + "learning_rate": 4.328065510223467e-06, + "loss": 1.7415, + "step": 3299 + }, + { + "epoch": 31.5, + "learning_rate": 4.318396027562337e-06, + "loss": 1.6109, + "step": 3300 + }, + { + "epoch": 31.51, + "learning_rate": 4.308736051017601e-06, + "loss": 1.2971, + "step": 3301 + }, + { + "epoch": 31.52, + "learning_rate": 4.299085586445078e-06, + "loss": 1.5768, + "step": 3302 + }, + { + "epoch": 31.53, + "learning_rate": 4.289444639694842e-06, + "loss": 1.5397, + "step": 3303 + }, + { + "epoch": 31.54, + "learning_rate": 4.2798132166111925e-06, + "loss": 1.8041, + "step": 3304 + }, + { + "epoch": 31.55, + "learning_rate": 4.270191323032651e-06, + "loss": 1.6378, + "step": 3305 + }, + { + "epoch": 31.56, + "learning_rate": 4.260578964791966e-06, + "loss": 1.6802, + "step": 3306 + }, + { + "epoch": 31.57, + "learning_rate": 4.250976147716108e-06, + "loss": 1.66, + "step": 3307 + }, + { + "epoch": 31.58, + "learning_rate": 4.2413828776262566e-06, + "loss": 1.3783, + "step": 3308 + }, + { + "epoch": 31.59, + "learning_rate": 4.2317991603378105e-06, + "loss": 1.4634, + "step": 3309 + }, + { + "epoch": 31.6, + "learning_rate": 4.2222250016603735e-06, + "loss": 1.4915, + "step": 3310 + }, + { + "epoch": 31.61, + "learning_rate": 4.2126604073977594e-06, + "loss": 1.548, + "step": 3311 + }, + { + "epoch": 31.62, + "learning_rate": 4.203105383347978e-06, + "loss": 1.2589, + "step": 3312 + }, + { + "epoch": 31.63, + "learning_rate": 4.193559935303244e-06, + "loss": 1.428, + "step": 3313 + }, + { + "epoch": 31.64, + "learning_rate": 4.184024069049968e-06, + "loss": 1.6164, + "step": 3314 + }, + { + "epoch": 31.65, + "learning_rate": 4.1744977903687366e-06, + "loss": 1.8102, + "step": 3315 + }, + { + "epoch": 31.66, + "learning_rate": 4.164981105034342e-06, + "loss": 1.6374, + "step": 3316 + }, + { + "epoch": 31.67, + "learning_rate": 4.1554740188157595e-06, + "loss": 1.7421, + "step": 3317 + }, + { + "epoch": 31.68, + "learning_rate": 4.1459765374761355e-06, + "loss": 1.4112, + "step": 3318 + }, + { + "epoch": 31.68, + "learning_rate": 4.136488666772802e-06, + "loss": 1.682, + "step": 3319 + }, + { + "epoch": 31.69, + "learning_rate": 4.1270104124572645e-06, + "loss": 1.9241, + "step": 3320 + }, + { + "epoch": 31.7, + "learning_rate": 4.117541780275191e-06, + "loss": 1.654, + "step": 3321 + }, + { + "epoch": 31.71, + "learning_rate": 4.108082775966431e-06, + "loss": 1.8491, + "step": 3322 + }, + { + "epoch": 31.72, + "learning_rate": 4.098633405264985e-06, + "loss": 1.8634, + "step": 3323 + }, + { + "epoch": 31.73, + "learning_rate": 4.089193673899019e-06, + "loss": 1.3985, + "step": 3324 + }, + { + "epoch": 31.74, + "learning_rate": 4.079763587590855e-06, + "loss": 1.5794, + "step": 3325 + }, + { + "epoch": 31.75, + "learning_rate": 4.070343152056966e-06, + "loss": 1.1574, + "step": 3326 + }, + { + "epoch": 31.76, + "learning_rate": 4.06093237300798e-06, + "loss": 1.4454, + "step": 3327 + }, + { + "epoch": 31.77, + "learning_rate": 4.051531256148671e-06, + "loss": 1.5718, + "step": 3328 + }, + { + "epoch": 31.78, + "learning_rate": 4.0421398071779446e-06, + "loss": 1.5705, + "step": 3329 + }, + { + "epoch": 31.79, + "learning_rate": 4.032758031788857e-06, + "loss": 1.523, + "step": 3330 + }, + { + "epoch": 31.8, + "learning_rate": 4.0233859356686e-06, + "loss": 1.4256, + "step": 3331 + }, + { + "epoch": 31.81, + "learning_rate": 4.014023524498492e-06, + "loss": 1.4341, + "step": 3332 + }, + { + "epoch": 31.82, + "learning_rate": 4.004670803953987e-06, + "loss": 1.4973, + "step": 3333 + }, + { + "epoch": 31.83, + "learning_rate": 3.995327779704658e-06, + "loss": 1.4428, + "step": 3334 + }, + { + "epoch": 31.84, + "learning_rate": 3.985994457414206e-06, + "loss": 2.0886, + "step": 3335 + }, + { + "epoch": 31.85, + "learning_rate": 3.9766708427404485e-06, + "loss": 1.4529, + "step": 3336 + }, + { + "epoch": 31.86, + "learning_rate": 3.9673569413353165e-06, + "loss": 1.3978, + "step": 3337 + }, + { + "epoch": 31.87, + "learning_rate": 3.958052758844853e-06, + "loss": 1.4526, + "step": 3338 + }, + { + "epoch": 31.88, + "learning_rate": 3.948758300909212e-06, + "loss": 1.6905, + "step": 3339 + }, + { + "epoch": 31.89, + "learning_rate": 3.93947357316266e-06, + "loss": 1.4096, + "step": 3340 + }, + { + "epoch": 31.89, + "learning_rate": 3.93019858123354e-06, + "loss": 1.774, + "step": 3341 + }, + { + "epoch": 31.9, + "learning_rate": 3.920933330744319e-06, + "loss": 1.7426, + "step": 3342 + }, + { + "epoch": 31.91, + "learning_rate": 3.911677827311547e-06, + "loss": 1.3783, + "step": 3343 + }, + { + "epoch": 31.92, + "learning_rate": 3.902432076545868e-06, + "loss": 1.5029, + "step": 3344 + }, + { + "epoch": 31.93, + "learning_rate": 3.893196084052013e-06, + "loss": 1.4134, + "step": 3345 + }, + { + "epoch": 31.94, + "learning_rate": 3.883969855428802e-06, + "loss": 1.8311, + "step": 3346 + }, + { + "epoch": 31.95, + "learning_rate": 3.874753396269135e-06, + "loss": 1.2843, + "step": 3347 + }, + { + "epoch": 31.96, + "learning_rate": 3.865546712159978e-06, + "loss": 1.3759, + "step": 3348 + }, + { + "epoch": 31.97, + "learning_rate": 3.8563498086823825e-06, + "loss": 1.8211, + "step": 3349 + }, + { + "epoch": 31.98, + "learning_rate": 3.847162691411472e-06, + "loss": 1.3907, + "step": 3350 + }, + { + "epoch": 31.99, + "learning_rate": 3.837985365916437e-06, + "loss": 1.4587, + "step": 3351 + }, + { + "epoch": 32.0, + "learning_rate": 3.828817837760525e-06, + "loss": 1.7053, + "step": 3352 + }, + { + "epoch": 32.01, + "learning_rate": 3.819660112501053e-06, + "loss": 1.4964, + "step": 3353 + }, + { + "epoch": 32.02, + "learning_rate": 3.810512195689391e-06, + "loss": 1.3375, + "step": 3354 + }, + { + "epoch": 32.03, + "learning_rate": 3.8013740928709707e-06, + "loss": 1.9915, + "step": 3355 + }, + { + "epoch": 32.04, + "learning_rate": 3.7922458095852556e-06, + "loss": 2.0446, + "step": 3356 + }, + { + "epoch": 32.05, + "learning_rate": 3.783127351365774e-06, + "loss": 1.5737, + "step": 3357 + }, + { + "epoch": 32.06, + "learning_rate": 3.774018723740096e-06, + "loss": 1.4806, + "step": 3358 + }, + { + "epoch": 32.07, + "learning_rate": 3.7649199322298293e-06, + "loss": 1.6114, + "step": 3359 + }, + { + "epoch": 32.08, + "learning_rate": 3.7558309823506166e-06, + "loss": 1.2261, + "step": 3360 + }, + { + "epoch": 32.09, + "learning_rate": 3.7467518796121426e-06, + "loss": 1.5252, + "step": 3361 + }, + { + "epoch": 32.1, + "learning_rate": 3.7376826295181133e-06, + "loss": 1.6914, + "step": 3362 + }, + { + "epoch": 32.11, + "learning_rate": 3.728623237566269e-06, + "loss": 1.4126, + "step": 3363 + }, + { + "epoch": 32.11, + "learning_rate": 3.7195737092483697e-06, + "loss": 1.4021, + "step": 3364 + }, + { + "epoch": 32.12, + "learning_rate": 3.7105340500502006e-06, + "loss": 1.7246, + "step": 3365 + }, + { + "epoch": 32.13, + "learning_rate": 3.7015042654515585e-06, + "loss": 1.045, + "step": 3366 + }, + { + "epoch": 32.14, + "learning_rate": 3.6924843609262604e-06, + "loss": 1.6685, + "step": 3367 + }, + { + "epoch": 32.15, + "learning_rate": 3.683474341942135e-06, + "loss": 1.2006, + "step": 3368 + }, + { + "epoch": 32.16, + "learning_rate": 3.6744742139610034e-06, + "loss": 1.3087, + "step": 3369 + }, + { + "epoch": 32.17, + "learning_rate": 3.6654839824387068e-06, + "loss": 1.3929, + "step": 3370 + }, + { + "epoch": 32.18, + "learning_rate": 3.656503652825083e-06, + "loss": 1.7689, + "step": 3371 + }, + { + "epoch": 32.19, + "learning_rate": 3.647533230563969e-06, + "loss": 1.3003, + "step": 3372 + }, + { + "epoch": 32.2, + "learning_rate": 3.63857272109319e-06, + "loss": 1.6693, + "step": 3373 + }, + { + "epoch": 32.21, + "learning_rate": 3.6296221298445656e-06, + "loss": 1.593, + "step": 3374 + }, + { + "epoch": 32.22, + "learning_rate": 3.6206814622439046e-06, + "loss": 1.5685, + "step": 3375 + }, + { + "epoch": 32.23, + "learning_rate": 3.6117507237110007e-06, + "loss": 1.4985, + "step": 3376 + }, + { + "epoch": 32.24, + "learning_rate": 3.602829919659623e-06, + "loss": 1.1429, + "step": 3377 + }, + { + "epoch": 32.25, + "learning_rate": 3.5939190554975258e-06, + "loss": 1.2295, + "step": 3378 + }, + { + "epoch": 32.26, + "learning_rate": 3.58501813662643e-06, + "loss": 1.4901, + "step": 3379 + }, + { + "epoch": 32.27, + "learning_rate": 3.576127168442034e-06, + "loss": 1.9365, + "step": 3380 + }, + { + "epoch": 32.28, + "learning_rate": 3.5672461563340012e-06, + "loss": 1.7289, + "step": 3381 + }, + { + "epoch": 32.29, + "learning_rate": 3.558375105685965e-06, + "loss": 1.6749, + "step": 3382 + }, + { + "epoch": 32.3, + "learning_rate": 3.5495140218755085e-06, + "loss": 1.9555, + "step": 3383 + }, + { + "epoch": 32.31, + "learning_rate": 3.5406629102741818e-06, + "loss": 1.3574, + "step": 3384 + }, + { + "epoch": 32.32, + "learning_rate": 3.5318217762474903e-06, + "loss": 1.0681, + "step": 3385 + }, + { + "epoch": 32.32, + "learning_rate": 3.5229906251548873e-06, + "loss": 1.6297, + "step": 3386 + }, + { + "epoch": 32.33, + "learning_rate": 3.514169462349777e-06, + "loss": 1.7338, + "step": 3387 + }, + { + "epoch": 32.34, + "learning_rate": 3.505358293179506e-06, + "loss": 2.0013, + "step": 3388 + }, + { + "epoch": 32.35, + "learning_rate": 3.4965571229853668e-06, + "loss": 1.3415, + "step": 3389 + }, + { + "epoch": 32.36, + "learning_rate": 3.4877659571025866e-06, + "loss": 1.5564, + "step": 3390 + }, + { + "epoch": 32.37, + "learning_rate": 3.4789848008603343e-06, + "loss": 1.7575, + "step": 3391 + }, + { + "epoch": 32.38, + "learning_rate": 3.4702136595817002e-06, + "loss": 1.4984, + "step": 3392 + }, + { + "epoch": 32.39, + "learning_rate": 3.461452538583714e-06, + "loss": 1.3821, + "step": 3393 + }, + { + "epoch": 32.4, + "learning_rate": 3.4527014431773266e-06, + "loss": 1.3558, + "step": 3394 + }, + { + "epoch": 32.41, + "learning_rate": 3.4439603786674146e-06, + "loss": 1.6439, + "step": 3395 + }, + { + "epoch": 32.42, + "learning_rate": 3.4352293503527622e-06, + "loss": 1.7785, + "step": 3396 + }, + { + "epoch": 32.43, + "learning_rate": 3.4265083635260863e-06, + "loss": 1.5199, + "step": 3397 + }, + { + "epoch": 32.44, + "learning_rate": 3.4177974234740075e-06, + "loss": 1.7578, + "step": 3398 + }, + { + "epoch": 32.45, + "learning_rate": 3.4090965354770565e-06, + "loss": 1.6274, + "step": 3399 + }, + { + "epoch": 32.46, + "learning_rate": 3.4004057048096708e-06, + "loss": 1.5922, + "step": 3400 + }, + { + "epoch": 32.47, + "learning_rate": 3.391724936740195e-06, + "loss": 1.6803, + "step": 3401 + }, + { + "epoch": 32.48, + "learning_rate": 3.383054236530872e-06, + "loss": 1.7133, + "step": 3402 + }, + { + "epoch": 32.49, + "learning_rate": 3.374393609437836e-06, + "loss": 1.5997, + "step": 3403 + }, + { + "epoch": 32.5, + "learning_rate": 3.365743060711122e-06, + "loss": 1.5228, + "step": 3404 + }, + { + "epoch": 32.51, + "learning_rate": 3.35710259559465e-06, + "loss": 1.5918, + "step": 3405 + }, + { + "epoch": 32.52, + "learning_rate": 3.3484722193262355e-06, + "loss": 1.476, + "step": 3406 + }, + { + "epoch": 32.53, + "learning_rate": 3.3398519371375705e-06, + "loss": 1.4023, + "step": 3407 + }, + { + "epoch": 32.53, + "learning_rate": 3.3312417542542306e-06, + "loss": 1.6594, + "step": 3408 + }, + { + "epoch": 32.54, + "learning_rate": 3.3226416758956724e-06, + "loss": 1.8098, + "step": 3409 + }, + { + "epoch": 32.55, + "learning_rate": 3.3140517072752167e-06, + "loss": 1.7661, + "step": 3410 + }, + { + "epoch": 32.56, + "learning_rate": 3.3054718536000663e-06, + "loss": 1.5452, + "step": 3411 + }, + { + "epoch": 32.57, + "learning_rate": 3.296902120071288e-06, + "loss": 1.5892, + "step": 3412 + }, + { + "epoch": 32.58, + "learning_rate": 3.2883425118838197e-06, + "loss": 1.2072, + "step": 3413 + }, + { + "epoch": 32.59, + "learning_rate": 3.279793034226453e-06, + "loss": 1.9333, + "step": 3414 + }, + { + "epoch": 32.6, + "learning_rate": 3.271253692281842e-06, + "loss": 1.5336, + "step": 3415 + }, + { + "epoch": 32.61, + "learning_rate": 3.262724491226501e-06, + "loss": 1.0076, + "step": 3416 + }, + { + "epoch": 32.62, + "learning_rate": 3.254205436230784e-06, + "loss": 1.6171, + "step": 3417 + }, + { + "epoch": 32.63, + "learning_rate": 3.2456965324589083e-06, + "loss": 1.7611, + "step": 3418 + }, + { + "epoch": 32.64, + "learning_rate": 3.237197785068933e-06, + "loss": 1.1915, + "step": 3419 + }, + { + "epoch": 32.65, + "learning_rate": 3.228709199212756e-06, + "loss": 1.3708, + "step": 3420 + }, + { + "epoch": 32.66, + "learning_rate": 3.220230780036124e-06, + "loss": 1.518, + "step": 3421 + }, + { + "epoch": 32.67, + "learning_rate": 3.2117625326786127e-06, + "loss": 1.7983, + "step": 3422 + }, + { + "epoch": 32.68, + "learning_rate": 3.2033044622736355e-06, + "loss": 1.985, + "step": 3423 + }, + { + "epoch": 32.69, + "learning_rate": 3.1948565739484414e-06, + "loss": 1.7903, + "step": 3424 + }, + { + "epoch": 32.7, + "learning_rate": 3.1864188728240906e-06, + "loss": 1.3773, + "step": 3425 + }, + { + "epoch": 32.71, + "learning_rate": 3.1779913640154845e-06, + "loss": 1.3231, + "step": 3426 + }, + { + "epoch": 32.72, + "learning_rate": 3.169574052631341e-06, + "loss": 1.6048, + "step": 3427 + }, + { + "epoch": 32.73, + "learning_rate": 3.1611669437741944e-06, + "loss": 1.8171, + "step": 3428 + }, + { + "epoch": 32.74, + "learning_rate": 3.152770042540394e-06, + "loss": 1.5551, + "step": 3429 + }, + { + "epoch": 32.74, + "learning_rate": 3.1443833540201063e-06, + "loss": 1.5345, + "step": 3430 + }, + { + "epoch": 32.75, + "learning_rate": 3.1360068832973024e-06, + "loss": 1.6968, + "step": 3431 + }, + { + "epoch": 32.76, + "learning_rate": 3.127640635449758e-06, + "loss": 1.7957, + "step": 3432 + }, + { + "epoch": 32.77, + "learning_rate": 3.1192846155490587e-06, + "loss": 1.3418, + "step": 3433 + }, + { + "epoch": 32.78, + "learning_rate": 3.1109388286605815e-06, + "loss": 1.5259, + "step": 3434 + }, + { + "epoch": 32.79, + "learning_rate": 3.1026032798435037e-06, + "loss": 1.8731, + "step": 3435 + }, + { + "epoch": 32.8, + "learning_rate": 3.0942779741508054e-06, + "loss": 1.5523, + "step": 3436 + }, + { + "epoch": 32.81, + "learning_rate": 3.085962916629235e-06, + "loss": 1.371, + "step": 3437 + }, + { + "epoch": 32.82, + "learning_rate": 3.0776581123193503e-06, + "loss": 1.2995, + "step": 3438 + }, + { + "epoch": 32.83, + "learning_rate": 3.0693635662554833e-06, + "loss": 1.7661, + "step": 3439 + }, + { + "epoch": 32.84, + "learning_rate": 3.061079283465751e-06, + "loss": 1.3086, + "step": 3440 + }, + { + "epoch": 32.85, + "learning_rate": 3.0528052689720477e-06, + "loss": 1.3748, + "step": 3441 + }, + { + "epoch": 32.86, + "learning_rate": 3.0445415277900435e-06, + "loss": 1.5753, + "step": 3442 + }, + { + "epoch": 32.87, + "learning_rate": 3.036288064929178e-06, + "loss": 1.4242, + "step": 3443 + }, + { + "epoch": 32.88, + "learning_rate": 3.0280448853926647e-06, + "loss": 1.468, + "step": 3444 + }, + { + "epoch": 32.89, + "learning_rate": 3.0198119941774796e-06, + "loss": 1.7216, + "step": 3445 + }, + { + "epoch": 32.9, + "learning_rate": 3.011589396274366e-06, + "loss": 1.2284, + "step": 3446 + }, + { + "epoch": 32.91, + "learning_rate": 3.0033770966678235e-06, + "loss": 1.9973, + "step": 3447 + }, + { + "epoch": 32.92, + "learning_rate": 2.9951751003361095e-06, + "loss": 1.3587, + "step": 3448 + }, + { + "epoch": 32.93, + "learning_rate": 2.9869834122512388e-06, + "loss": 1.8085, + "step": 3449 + }, + { + "epoch": 32.94, + "learning_rate": 2.978802037378976e-06, + "loss": 1.4045, + "step": 3450 + }, + { + "epoch": 32.95, + "learning_rate": 2.970630980678828e-06, + "loss": 1.6745, + "step": 3451 + }, + { + "epoch": 32.95, + "learning_rate": 2.962470247104057e-06, + "loss": 1.489, + "step": 3452 + }, + { + "epoch": 32.96, + "learning_rate": 2.954319841601656e-06, + "loss": 1.2512, + "step": 3453 + }, + { + "epoch": 32.97, + "learning_rate": 2.9461797691123696e-06, + "loss": 1.8907, + "step": 3454 + }, + { + "epoch": 32.98, + "learning_rate": 2.93805003457067e-06, + "loss": 1.3068, + "step": 3455 + }, + { + "epoch": 32.99, + "learning_rate": 2.929930642904766e-06, + "loss": 1.4232, + "step": 3456 + }, + { + "epoch": 33.0, + "learning_rate": 2.9218215990365938e-06, + "loss": 1.6741, + "step": 3457 + }, + { + "epoch": 33.01, + "learning_rate": 2.9137229078818197e-06, + "loss": 1.7144, + "step": 3458 + }, + { + "epoch": 33.02, + "learning_rate": 2.905634574349834e-06, + "loss": 1.3452, + "step": 3459 + }, + { + "epoch": 33.03, + "learning_rate": 2.8975566033437453e-06, + "loss": 1.907, + "step": 3460 + }, + { + "epoch": 33.04, + "learning_rate": 2.8894889997603858e-06, + "loss": 1.5504, + "step": 3461 + }, + { + "epoch": 33.05, + "learning_rate": 2.881431768490295e-06, + "loss": 1.4516, + "step": 3462 + }, + { + "epoch": 33.06, + "learning_rate": 2.8733849144177384e-06, + "loss": 1.3551, + "step": 3463 + }, + { + "epoch": 33.07, + "learning_rate": 2.86534844242067e-06, + "loss": 1.7436, + "step": 3464 + }, + { + "epoch": 33.08, + "learning_rate": 2.8573223573707686e-06, + "loss": 1.7131, + "step": 3465 + }, + { + "epoch": 33.09, + "learning_rate": 2.849306664133411e-06, + "loss": 2.1389, + "step": 3466 + }, + { + "epoch": 33.1, + "learning_rate": 2.8413013675676703e-06, + "loss": 1.3566, + "step": 3467 + }, + { + "epoch": 33.11, + "learning_rate": 2.833306472526325e-06, + "loss": 1.6804, + "step": 3468 + }, + { + "epoch": 33.12, + "learning_rate": 2.82532198385584e-06, + "loss": 1.7234, + "step": 3469 + }, + { + "epoch": 33.13, + "learning_rate": 2.817347906396377e-06, + "loss": 1.77, + "step": 3470 + }, + { + "epoch": 33.14, + "learning_rate": 2.8093842449817855e-06, + "loss": 1.8393, + "step": 3471 + }, + { + "epoch": 33.15, + "learning_rate": 2.801431004439599e-06, + "loss": 1.7286, + "step": 3472 + }, + { + "epoch": 33.16, + "learning_rate": 2.7934881895910383e-06, + "loss": 1.814, + "step": 3473 + }, + { + "epoch": 33.16, + "learning_rate": 2.785555805250999e-06, + "loss": 1.5789, + "step": 3474 + }, + { + "epoch": 33.17, + "learning_rate": 2.7776338562280567e-06, + "loss": 1.5051, + "step": 3475 + }, + { + "epoch": 33.18, + "learning_rate": 2.7697223473244596e-06, + "loss": 1.4728, + "step": 3476 + }, + { + "epoch": 33.19, + "learning_rate": 2.7618212833361346e-06, + "loss": 1.4839, + "step": 3477 + }, + { + "epoch": 33.2, + "learning_rate": 2.7539306690526602e-06, + "loss": 1.9264, + "step": 3478 + }, + { + "epoch": 33.21, + "learning_rate": 2.7460505092572966e-06, + "loss": 1.5691, + "step": 3479 + }, + { + "epoch": 33.22, + "learning_rate": 2.7381808087269577e-06, + "loss": 1.8107, + "step": 3480 + }, + { + "epoch": 33.23, + "learning_rate": 2.730321572232224e-06, + "loss": 1.9962, + "step": 3481 + }, + { + "epoch": 33.24, + "learning_rate": 2.722472804537324e-06, + "loss": 1.6718, + "step": 3482 + }, + { + "epoch": 33.25, + "learning_rate": 2.714634510400147e-06, + "loss": 1.3443, + "step": 3483 + }, + { + "epoch": 33.26, + "learning_rate": 2.7068066945722305e-06, + "loss": 1.6399, + "step": 3484 + }, + { + "epoch": 33.27, + "learning_rate": 2.6989893617987607e-06, + "loss": 1.5378, + "step": 3485 + }, + { + "epoch": 33.28, + "learning_rate": 2.6911825168185733e-06, + "loss": 1.2657, + "step": 3486 + }, + { + "epoch": 33.29, + "learning_rate": 2.6833861643641325e-06, + "loss": 1.67, + "step": 3487 + }, + { + "epoch": 33.3, + "learning_rate": 2.675600309161559e-06, + "loss": 1.3467, + "step": 3488 + }, + { + "epoch": 33.31, + "learning_rate": 2.667824955930598e-06, + "loss": 1.6585, + "step": 3489 + }, + { + "epoch": 33.32, + "learning_rate": 2.6600601093846345e-06, + "loss": 1.5142, + "step": 3490 + }, + { + "epoch": 33.33, + "learning_rate": 2.6523057742306835e-06, + "loss": 1.141, + "step": 3491 + }, + { + "epoch": 33.34, + "learning_rate": 2.644561955169387e-06, + "loss": 1.7084, + "step": 3492 + }, + { + "epoch": 33.35, + "learning_rate": 2.636828656895016e-06, + "loss": 1.5579, + "step": 3493 + }, + { + "epoch": 33.36, + "learning_rate": 2.6291058840954552e-06, + "loss": 1.0198, + "step": 3494 + }, + { + "epoch": 33.37, + "learning_rate": 2.6213936414522145e-06, + "loss": 1.5797, + "step": 3495 + }, + { + "epoch": 33.37, + "learning_rate": 2.6136919336404208e-06, + "loss": 1.7522, + "step": 3496 + }, + { + "epoch": 33.38, + "learning_rate": 2.6060007653288155e-06, + "loss": 1.5417, + "step": 3497 + }, + { + "epoch": 33.39, + "learning_rate": 2.5983201411797487e-06, + "loss": 1.5637, + "step": 3498 + }, + { + "epoch": 33.4, + "learning_rate": 2.5906500658491807e-06, + "loss": 1.5021, + "step": 3499 + }, + { + "epoch": 33.41, + "learning_rate": 2.582990543986674e-06, + "loss": 1.4073, + "step": 3500 + }, + { + "epoch": 33.42, + "learning_rate": 2.5753415802353953e-06, + "loss": 1.8385, + "step": 3501 + }, + { + "epoch": 33.43, + "learning_rate": 2.567703179232115e-06, + "loss": 1.5625, + "step": 3502 + }, + { + "epoch": 33.44, + "learning_rate": 2.5600753456071914e-06, + "loss": 1.4872, + "step": 3503 + }, + { + "epoch": 33.45, + "learning_rate": 2.5524580839845926e-06, + "loss": 1.994, + "step": 3504 + }, + { + "epoch": 33.46, + "learning_rate": 2.5448513989818536e-06, + "loss": 1.6635, + "step": 3505 + }, + { + "epoch": 33.47, + "learning_rate": 2.537255295210119e-06, + "loss": 1.5723, + "step": 3506 + }, + { + "epoch": 33.48, + "learning_rate": 2.529669777274111e-06, + "loss": 1.335, + "step": 3507 + }, + { + "epoch": 33.49, + "learning_rate": 2.5220948497721364e-06, + "loss": 1.239, + "step": 3508 + }, + { + "epoch": 33.5, + "learning_rate": 2.514530517296083e-06, + "loss": 1.7754, + "step": 3509 + }, + { + "epoch": 33.51, + "learning_rate": 2.506976784431412e-06, + "loss": 1.103, + "step": 3510 + }, + { + "epoch": 33.52, + "learning_rate": 2.499433655757162e-06, + "loss": 1.5424, + "step": 3511 + }, + { + "epoch": 33.53, + "learning_rate": 2.4919011358459443e-06, + "loss": 1.7329, + "step": 3512 + }, + { + "epoch": 33.54, + "learning_rate": 2.4843792292639357e-06, + "loss": 2.0781, + "step": 3513 + }, + { + "epoch": 33.55, + "learning_rate": 2.476867940570884e-06, + "loss": 1.2891, + "step": 3514 + }, + { + "epoch": 33.56, + "learning_rate": 2.469367274320096e-06, + "loss": 1.768, + "step": 3515 + }, + { + "epoch": 33.57, + "learning_rate": 2.461877235058443e-06, + "loss": 1.6541, + "step": 3516 + }, + { + "epoch": 33.58, + "learning_rate": 2.454397827326356e-06, + "loss": 1.7575, + "step": 3517 + }, + { + "epoch": 33.58, + "learning_rate": 2.4469290556578073e-06, + "loss": 1.1775, + "step": 3518 + }, + { + "epoch": 33.59, + "learning_rate": 2.4394709245803384e-06, + "loss": 1.909, + "step": 3519 + }, + { + "epoch": 33.6, + "learning_rate": 2.4320234386150343e-06, + "loss": 1.6309, + "step": 3520 + }, + { + "epoch": 33.61, + "learning_rate": 2.424586602276526e-06, + "loss": 1.2455, + "step": 3521 + }, + { + "epoch": 33.62, + "learning_rate": 2.4171604200729883e-06, + "loss": 1.7379, + "step": 3522 + }, + { + "epoch": 33.63, + "learning_rate": 2.409744896506141e-06, + "loss": 1.4047, + "step": 3523 + }, + { + "epoch": 33.64, + "learning_rate": 2.40234003607124e-06, + "loss": 1.5599, + "step": 3524 + }, + { + "epoch": 33.65, + "learning_rate": 2.394945843257077e-06, + "loss": 1.683, + "step": 3525 + }, + { + "epoch": 33.66, + "learning_rate": 2.3875623225459777e-06, + "loss": 1.5814, + "step": 3526 + }, + { + "epoch": 33.67, + "learning_rate": 2.380189478413799e-06, + "loss": 1.0929, + "step": 3527 + }, + { + "epoch": 33.68, + "learning_rate": 2.372827315329924e-06, + "loss": 1.8063, + "step": 3528 + }, + { + "epoch": 33.69, + "learning_rate": 2.365475837757265e-06, + "loss": 1.4389, + "step": 3529 + }, + { + "epoch": 33.7, + "learning_rate": 2.3581350501522527e-06, + "loss": 1.4081, + "step": 3530 + }, + { + "epoch": 33.71, + "learning_rate": 2.3508049569648406e-06, + "loss": 1.5232, + "step": 3531 + }, + { + "epoch": 33.72, + "learning_rate": 2.343485562638492e-06, + "loss": 1.496, + "step": 3532 + }, + { + "epoch": 33.73, + "learning_rate": 2.336176871610194e-06, + "loss": 1.865, + "step": 3533 + }, + { + "epoch": 33.74, + "learning_rate": 2.3288788883104396e-06, + "loss": 1.482, + "step": 3534 + }, + { + "epoch": 33.75, + "learning_rate": 2.3215916171632346e-06, + "loss": 1.2972, + "step": 3535 + }, + { + "epoch": 33.76, + "learning_rate": 2.31431506258609e-06, + "loss": 1.474, + "step": 3536 + }, + { + "epoch": 33.77, + "learning_rate": 2.3070492289900193e-06, + "loss": 1.4877, + "step": 3537 + }, + { + "epoch": 33.78, + "learning_rate": 2.299794120779535e-06, + "loss": 1.5263, + "step": 3538 + }, + { + "epoch": 33.79, + "learning_rate": 2.2925497423526544e-06, + "loss": 1.4917, + "step": 3539 + }, + { + "epoch": 33.79, + "learning_rate": 2.2853160981008826e-06, + "loss": 1.9012, + "step": 3540 + }, + { + "epoch": 33.8, + "learning_rate": 2.2780931924092255e-06, + "loss": 1.5346, + "step": 3541 + }, + { + "epoch": 33.81, + "learning_rate": 2.2708810296561713e-06, + "loss": 1.6766, + "step": 3542 + }, + { + "epoch": 33.82, + "learning_rate": 2.263679614213703e-06, + "loss": 1.2229, + "step": 3543 + }, + { + "epoch": 33.83, + "learning_rate": 2.2564889504472887e-06, + "loss": 1.3508, + "step": 3544 + }, + { + "epoch": 33.84, + "learning_rate": 2.249309042715868e-06, + "loss": 1.8268, + "step": 3545 + }, + { + "epoch": 33.85, + "learning_rate": 2.242139895371871e-06, + "loss": 1.9762, + "step": 3546 + }, + { + "epoch": 33.86, + "learning_rate": 2.2349815127612027e-06, + "loss": 1.3359, + "step": 3547 + }, + { + "epoch": 33.87, + "learning_rate": 2.227833899223244e-06, + "loss": 1.1742, + "step": 3548 + }, + { + "epoch": 33.88, + "learning_rate": 2.2206970590908394e-06, + "loss": 1.4588, + "step": 3549 + }, + { + "epoch": 33.89, + "learning_rate": 2.213570996690315e-06, + "loss": 1.6209, + "step": 3550 + }, + { + "epoch": 33.9, + "learning_rate": 2.2064557163414536e-06, + "loss": 1.5856, + "step": 3551 + }, + { + "epoch": 33.91, + "learning_rate": 2.1993512223575063e-06, + "loss": 1.5606, + "step": 3552 + }, + { + "epoch": 33.92, + "learning_rate": 2.1922575190451866e-06, + "loss": 1.3436, + "step": 3553 + }, + { + "epoch": 33.93, + "learning_rate": 2.1851746107046614e-06, + "loss": 1.6233, + "step": 3554 + }, + { + "epoch": 33.94, + "learning_rate": 2.1781025016295645e-06, + "loss": 1.1532, + "step": 3555 + }, + { + "epoch": 33.95, + "learning_rate": 2.1710411961069667e-06, + "loss": 1.4576, + "step": 3556 + }, + { + "epoch": 33.96, + "learning_rate": 2.163990698417402e-06, + "loss": 1.5485, + "step": 3557 + }, + { + "epoch": 33.97, + "learning_rate": 2.1569510128348492e-06, + "loss": 1.447, + "step": 3558 + }, + { + "epoch": 33.98, + "learning_rate": 2.149922143626737e-06, + "loss": 1.2308, + "step": 3559 + }, + { + "epoch": 33.99, + "learning_rate": 2.1429040950539306e-06, + "loss": 1.3208, + "step": 3560 + }, + { + "epoch": 34.0, + "learning_rate": 2.1358968713707395e-06, + "loss": 1.587, + "step": 3561 + }, + { + "epoch": 34.0, + "learning_rate": 2.1289004768249153e-06, + "loss": 1.6269, + "step": 3562 + }, + { + "epoch": 34.01, + "learning_rate": 2.1219149156576325e-06, + "loss": 2.0766, + "step": 3563 + }, + { + "epoch": 34.02, + "learning_rate": 2.1149401921035095e-06, + "loss": 1.237, + "step": 3564 + }, + { + "epoch": 34.03, + "learning_rate": 2.107976310390589e-06, + "loss": 1.723, + "step": 3565 + }, + { + "epoch": 34.04, + "learning_rate": 2.1010232747403502e-06, + "loss": 1.4821, + "step": 3566 + }, + { + "epoch": 34.05, + "learning_rate": 2.0940810893676855e-06, + "loss": 1.7969, + "step": 3567 + }, + { + "epoch": 34.06, + "learning_rate": 2.0871497584809197e-06, + "loss": 1.5575, + "step": 3568 + }, + { + "epoch": 34.07, + "learning_rate": 2.080229286281794e-06, + "loss": 1.5945, + "step": 3569 + }, + { + "epoch": 34.08, + "learning_rate": 2.073319676965464e-06, + "loss": 1.4269, + "step": 3570 + }, + { + "epoch": 34.09, + "learning_rate": 2.0664209347205076e-06, + "loss": 1.4933, + "step": 3571 + }, + { + "epoch": 34.1, + "learning_rate": 2.0595330637289046e-06, + "loss": 1.7216, + "step": 3572 + }, + { + "epoch": 34.11, + "learning_rate": 2.0526560681660546e-06, + "loss": 1.307, + "step": 3573 + }, + { + "epoch": 34.12, + "learning_rate": 2.0457899522007586e-06, + "loss": 1.5622, + "step": 3574 + }, + { + "epoch": 34.13, + "learning_rate": 2.0389347199952268e-06, + "loss": 1.6227, + "step": 3575 + }, + { + "epoch": 34.14, + "learning_rate": 2.0320903757050693e-06, + "loss": 1.5585, + "step": 3576 + }, + { + "epoch": 34.15, + "learning_rate": 2.0252569234792928e-06, + "loss": 1.7718, + "step": 3577 + }, + { + "epoch": 34.16, + "learning_rate": 2.0184343674603114e-06, + "loss": 1.6981, + "step": 3578 + }, + { + "epoch": 34.17, + "learning_rate": 2.0116227117839204e-06, + "loss": 1.4992, + "step": 3579 + }, + { + "epoch": 34.18, + "learning_rate": 2.0048219605793196e-06, + "loss": 1.666, + "step": 3580 + }, + { + "epoch": 34.19, + "learning_rate": 1.998032117969089e-06, + "loss": 1.5526, + "step": 3581 + }, + { + "epoch": 34.2, + "learning_rate": 1.991253188069202e-06, + "loss": 1.2979, + "step": 3582 + }, + { + "epoch": 34.21, + "learning_rate": 1.984485174989017e-06, + "loss": 1.5614, + "step": 3583 + }, + { + "epoch": 34.21, + "learning_rate": 1.9777280828312673e-06, + "loss": 1.7111, + "step": 3584 + }, + { + "epoch": 34.22, + "learning_rate": 1.9709819156920784e-06, + "loss": 1.4925, + "step": 3585 + }, + { + "epoch": 34.23, + "learning_rate": 1.9642466776609394e-06, + "loss": 1.5651, + "step": 3586 + }, + { + "epoch": 34.24, + "learning_rate": 1.9575223728207217e-06, + "loss": 1.572, + "step": 3587 + }, + { + "epoch": 34.25, + "learning_rate": 1.950809005247669e-06, + "loss": 1.3976, + "step": 3588 + }, + { + "epoch": 34.26, + "learning_rate": 1.9441065790113934e-06, + "loss": 1.5912, + "step": 3589 + }, + { + "epoch": 34.27, + "learning_rate": 1.9374150981748752e-06, + "loss": 1.7594, + "step": 3590 + }, + { + "epoch": 34.28, + "learning_rate": 1.9307345667944612e-06, + "loss": 1.6599, + "step": 3591 + }, + { + "epoch": 34.29, + "learning_rate": 1.9240649889198557e-06, + "loss": 1.4027, + "step": 3592 + }, + { + "epoch": 34.3, + "learning_rate": 1.9174063685941304e-06, + "loss": 1.5343, + "step": 3593 + }, + { + "epoch": 34.31, + "learning_rate": 1.9107587098537063e-06, + "loss": 1.3408, + "step": 3594 + }, + { + "epoch": 34.32, + "learning_rate": 1.9041220167283646e-06, + "loss": 1.2679, + "step": 3595 + }, + { + "epoch": 34.33, + "learning_rate": 1.8974962932412412e-06, + "loss": 1.843, + "step": 3596 + }, + { + "epoch": 34.34, + "learning_rate": 1.8908815434088156e-06, + "loss": 1.5334, + "step": 3597 + }, + { + "epoch": 34.35, + "learning_rate": 1.884277771240921e-06, + "loss": 1.1995, + "step": 3598 + }, + { + "epoch": 34.36, + "learning_rate": 1.877684980740735e-06, + "loss": 1.4137, + "step": 3599 + }, + { + "epoch": 34.37, + "learning_rate": 1.8711031759047715e-06, + "loss": 1.4169, + "step": 3600 + }, + { + "epoch": 34.38, + "learning_rate": 1.864532360722895e-06, + "loss": 1.8764, + "step": 3601 + }, + { + "epoch": 34.39, + "learning_rate": 1.857972539178301e-06, + "loss": 1.6034, + "step": 3602 + }, + { + "epoch": 34.4, + "learning_rate": 1.8514237152475267e-06, + "loss": 1.0766, + "step": 3603 + }, + { + "epoch": 34.41, + "learning_rate": 1.8448858929004343e-06, + "loss": 1.6912, + "step": 3604 + }, + { + "epoch": 34.42, + "learning_rate": 1.8383590761002267e-06, + "loss": 1.6363, + "step": 3605 + }, + { + "epoch": 34.42, + "learning_rate": 1.831843268803426e-06, + "loss": 1.4872, + "step": 3606 + }, + { + "epoch": 34.43, + "learning_rate": 1.825338474959888e-06, + "loss": 1.7709, + "step": 3607 + }, + { + "epoch": 34.44, + "learning_rate": 1.8188446985127872e-06, + "loss": 1.5696, + "step": 3608 + }, + { + "epoch": 34.45, + "learning_rate": 1.8123619433986217e-06, + "loss": 1.4875, + "step": 3609 + }, + { + "epoch": 34.46, + "learning_rate": 1.8058902135472078e-06, + "loss": 1.6753, + "step": 3610 + }, + { + "epoch": 34.47, + "learning_rate": 1.7994295128816785e-06, + "loss": 1.4559, + "step": 3611 + }, + { + "epoch": 34.48, + "learning_rate": 1.7929798453184832e-06, + "loss": 1.3031, + "step": 3612 + }, + { + "epoch": 34.49, + "learning_rate": 1.7865412147673767e-06, + "loss": 1.431, + "step": 3613 + }, + { + "epoch": 34.5, + "learning_rate": 1.7801136251314276e-06, + "loss": 1.5248, + "step": 3614 + }, + { + "epoch": 34.51, + "learning_rate": 1.7736970803070107e-06, + "loss": 1.2447, + "step": 3615 + }, + { + "epoch": 34.52, + "learning_rate": 1.7672915841838101e-06, + "loss": 1.5937, + "step": 3616 + }, + { + "epoch": 34.53, + "learning_rate": 1.7608971406448061e-06, + "loss": 1.1901, + "step": 3617 + }, + { + "epoch": 34.54, + "learning_rate": 1.7545137535662804e-06, + "loss": 1.5031, + "step": 3618 + }, + { + "epoch": 34.55, + "learning_rate": 1.7481414268178132e-06, + "loss": 1.7662, + "step": 3619 + }, + { + "epoch": 34.56, + "learning_rate": 1.741780164262281e-06, + "loss": 1.5752, + "step": 3620 + }, + { + "epoch": 34.57, + "learning_rate": 1.7354299697558508e-06, + "loss": 1.8289, + "step": 3621 + }, + { + "epoch": 34.58, + "learning_rate": 1.7290908471479805e-06, + "loss": 1.5647, + "step": 3622 + }, + { + "epoch": 34.59, + "learning_rate": 1.7227628002814189e-06, + "loss": 1.4851, + "step": 3623 + }, + { + "epoch": 34.6, + "learning_rate": 1.7164458329922017e-06, + "loss": 1.4603, + "step": 3624 + }, + { + "epoch": 34.61, + "learning_rate": 1.7101399491096392e-06, + "loss": 1.4801, + "step": 3625 + }, + { + "epoch": 34.62, + "learning_rate": 1.7038451524563316e-06, + "loss": 1.2433, + "step": 3626 + }, + { + "epoch": 34.63, + "learning_rate": 1.697561446848155e-06, + "loss": 1.6114, + "step": 3627 + }, + { + "epoch": 34.63, + "learning_rate": 1.6912888360942669e-06, + "loss": 1.5448, + "step": 3628 + }, + { + "epoch": 34.64, + "learning_rate": 1.6850273239970904e-06, + "loss": 1.7876, + "step": 3629 + }, + { + "epoch": 34.65, + "learning_rate": 1.678776914352329e-06, + "loss": 1.6564, + "step": 3630 + }, + { + "epoch": 34.66, + "learning_rate": 1.6725376109489521e-06, + "loss": 1.6167, + "step": 3631 + }, + { + "epoch": 34.67, + "learning_rate": 1.666309417569194e-06, + "loss": 1.6816, + "step": 3632 + }, + { + "epoch": 34.68, + "learning_rate": 1.660092337988557e-06, + "loss": 1.7316, + "step": 3633 + }, + { + "epoch": 34.69, + "learning_rate": 1.6538863759758105e-06, + "loss": 1.3926, + "step": 3634 + }, + { + "epoch": 34.7, + "learning_rate": 1.6476915352929745e-06, + "loss": 1.2744, + "step": 3635 + }, + { + "epoch": 34.71, + "learning_rate": 1.6415078196953382e-06, + "loss": 1.8017, + "step": 3636 + }, + { + "epoch": 34.72, + "learning_rate": 1.6353352329314365e-06, + "loss": 1.7104, + "step": 3637 + }, + { + "epoch": 34.73, + "learning_rate": 1.6291737787430672e-06, + "loss": 1.4245, + "step": 3638 + }, + { + "epoch": 34.74, + "learning_rate": 1.6230234608652784e-06, + "loss": 1.8392, + "step": 3639 + }, + { + "epoch": 34.75, + "learning_rate": 1.6168842830263586e-06, + "loss": 1.6812, + "step": 3640 + }, + { + "epoch": 34.76, + "learning_rate": 1.610756248947849e-06, + "loss": 1.6428, + "step": 3641 + }, + { + "epoch": 34.77, + "learning_rate": 1.6046393623445378e-06, + "loss": 1.3948, + "step": 3642 + }, + { + "epoch": 34.78, + "learning_rate": 1.5985336269244545e-06, + "loss": 1.472, + "step": 3643 + }, + { + "epoch": 34.79, + "learning_rate": 1.5924390463888673e-06, + "loss": 1.7621, + "step": 3644 + }, + { + "epoch": 34.8, + "learning_rate": 1.586355624432283e-06, + "loss": 1.484, + "step": 3645 + }, + { + "epoch": 34.81, + "learning_rate": 1.5802833647424453e-06, + "loss": 1.8402, + "step": 3646 + }, + { + "epoch": 34.82, + "learning_rate": 1.5742222710003252e-06, + "loss": 1.6273, + "step": 3647 + }, + { + "epoch": 34.83, + "learning_rate": 1.5681723468801368e-06, + "loss": 2.245, + "step": 3648 + }, + { + "epoch": 34.84, + "learning_rate": 1.5621335960493112e-06, + "loss": 1.4299, + "step": 3649 + }, + { + "epoch": 34.84, + "learning_rate": 1.5561060221685132e-06, + "loss": 1.0581, + "step": 3650 + }, + { + "epoch": 34.85, + "learning_rate": 1.5500896288916312e-06, + "loss": 1.8878, + "step": 3651 + }, + { + "epoch": 34.86, + "learning_rate": 1.5440844198657745e-06, + "loss": 1.4895, + "step": 3652 + }, + { + "epoch": 34.87, + "learning_rate": 1.5380903987312756e-06, + "loss": 1.313, + "step": 3653 + }, + { + "epoch": 34.88, + "learning_rate": 1.5321075691216792e-06, + "loss": 1.243, + "step": 3654 + }, + { + "epoch": 34.89, + "learning_rate": 1.5261359346637484e-06, + "loss": 1.5485, + "step": 3655 + }, + { + "epoch": 34.9, + "learning_rate": 1.520175498977463e-06, + "loss": 1.2581, + "step": 3656 + }, + { + "epoch": 34.91, + "learning_rate": 1.514226265676011e-06, + "loss": 1.6864, + "step": 3657 + }, + { + "epoch": 34.92, + "learning_rate": 1.5082882383657915e-06, + "loss": 1.6939, + "step": 3658 + }, + { + "epoch": 34.93, + "learning_rate": 1.5023614206464077e-06, + "loss": 1.3633, + "step": 3659 + }, + { + "epoch": 34.94, + "learning_rate": 1.4964458161106699e-06, + "loss": 1.629, + "step": 3660 + }, + { + "epoch": 34.95, + "learning_rate": 1.4905414283445917e-06, + "loss": 1.8328, + "step": 3661 + }, + { + "epoch": 34.96, + "learning_rate": 1.4846482609273839e-06, + "loss": 1.64, + "step": 3662 + }, + { + "epoch": 34.97, + "learning_rate": 1.478766317431457e-06, + "loss": 1.4528, + "step": 3663 + }, + { + "epoch": 34.98, + "learning_rate": 1.4728956014224216e-06, + "loss": 1.3892, + "step": 3664 + }, + { + "epoch": 34.99, + "learning_rate": 1.4670361164590775e-06, + "loss": 1.4627, + "step": 3665 + }, + { + "epoch": 35.0, + "learning_rate": 1.4611878660934187e-06, + "loss": 1.3123, + "step": 3666 + }, + { + "epoch": 35.01, + "learning_rate": 1.455350853870623e-06, + "loss": 1.6183, + "step": 3667 + }, + { + "epoch": 35.02, + "learning_rate": 1.4495250833290641e-06, + "loss": 1.5683, + "step": 3668 + }, + { + "epoch": 35.03, + "learning_rate": 1.4437105580002952e-06, + "loss": 1.757, + "step": 3669 + }, + { + "epoch": 35.04, + "learning_rate": 1.4379072814090566e-06, + "loss": 1.859, + "step": 3670 + }, + { + "epoch": 35.05, + "learning_rate": 1.4321152570732698e-06, + "loss": 1.461, + "step": 3671 + }, + { + "epoch": 35.05, + "learning_rate": 1.4263344885040286e-06, + "loss": 1.2332, + "step": 3672 + }, + { + "epoch": 35.06, + "learning_rate": 1.4205649792056142e-06, + "loss": 1.7809, + "step": 3673 + }, + { + "epoch": 35.07, + "learning_rate": 1.4148067326754711e-06, + "loss": 1.5907, + "step": 3674 + }, + { + "epoch": 35.08, + "learning_rate": 1.409059752404225e-06, + "loss": 1.5091, + "step": 3675 + }, + { + "epoch": 35.09, + "learning_rate": 1.4033240418756688e-06, + "loss": 1.6191, + "step": 3676 + }, + { + "epoch": 35.1, + "learning_rate": 1.3975996045667616e-06, + "loss": 1.466, + "step": 3677 + }, + { + "epoch": 35.11, + "learning_rate": 1.3918864439476342e-06, + "loss": 1.5655, + "step": 3678 + }, + { + "epoch": 35.12, + "learning_rate": 1.3861845634815784e-06, + "loss": 1.9486, + "step": 3679 + }, + { + "epoch": 35.13, + "learning_rate": 1.3804939666250473e-06, + "loss": 1.5819, + "step": 3680 + }, + { + "epoch": 35.14, + "learning_rate": 1.3748146568276522e-06, + "loss": 1.3823, + "step": 3681 + }, + { + "epoch": 35.15, + "learning_rate": 1.369146637532166e-06, + "loss": 1.47, + "step": 3682 + }, + { + "epoch": 35.16, + "learning_rate": 1.3634899121745182e-06, + "loss": 2.0747, + "step": 3683 + }, + { + "epoch": 35.17, + "learning_rate": 1.3578444841837858e-06, + "loss": 1.322, + "step": 3684 + }, + { + "epoch": 35.18, + "learning_rate": 1.3522103569822042e-06, + "loss": 1.3019, + "step": 3685 + }, + { + "epoch": 35.19, + "learning_rate": 1.346587533985153e-06, + "loss": 1.5254, + "step": 3686 + }, + { + "epoch": 35.2, + "learning_rate": 1.3409760186011655e-06, + "loss": 1.8178, + "step": 3687 + }, + { + "epoch": 35.21, + "learning_rate": 1.335375814231914e-06, + "loss": 1.8107, + "step": 3688 + }, + { + "epoch": 35.22, + "learning_rate": 1.3297869242722183e-06, + "loss": 1.8866, + "step": 3689 + }, + { + "epoch": 35.23, + "learning_rate": 1.3242093521100353e-06, + "loss": 1.4292, + "step": 3690 + }, + { + "epoch": 35.24, + "learning_rate": 1.3186431011264666e-06, + "loss": 1.5969, + "step": 3691 + }, + { + "epoch": 35.25, + "learning_rate": 1.3130881746957447e-06, + "loss": 1.5224, + "step": 3692 + }, + { + "epoch": 35.26, + "learning_rate": 1.3075445761852468e-06, + "loss": 2.0205, + "step": 3693 + }, + { + "epoch": 35.26, + "learning_rate": 1.3020123089554692e-06, + "loss": 1.481, + "step": 3694 + }, + { + "epoch": 35.27, + "learning_rate": 1.2964913763600496e-06, + "loss": 1.5416, + "step": 3695 + }, + { + "epoch": 35.28, + "learning_rate": 1.2909817817457527e-06, + "loss": 1.0432, + "step": 3696 + }, + { + "epoch": 35.29, + "learning_rate": 1.285483528452469e-06, + "loss": 1.449, + "step": 3697 + }, + { + "epoch": 35.3, + "learning_rate": 1.2799966198132153e-06, + "loss": 1.409, + "step": 3698 + }, + { + "epoch": 35.31, + "learning_rate": 1.2745210591541302e-06, + "loss": 1.2134, + "step": 3699 + }, + { + "epoch": 35.32, + "learning_rate": 1.2690568497944766e-06, + "loss": 1.5348, + "step": 3700 + }, + { + "epoch": 35.33, + "learning_rate": 1.2636039950466273e-06, + "loss": 1.5301, + "step": 3701 + }, + { + "epoch": 35.34, + "learning_rate": 1.2581624982160779e-06, + "loss": 1.4867, + "step": 3702 + }, + { + "epoch": 35.35, + "learning_rate": 1.2527323626014431e-06, + "loss": 1.5907, + "step": 3703 + }, + { + "epoch": 35.36, + "learning_rate": 1.2473135914944434e-06, + "loss": 1.7343, + "step": 3704 + }, + { + "epoch": 35.37, + "learning_rate": 1.2419061881799133e-06, + "loss": 1.3738, + "step": 3705 + }, + { + "epoch": 35.38, + "learning_rate": 1.2365101559357972e-06, + "loss": 1.5839, + "step": 3706 + }, + { + "epoch": 35.39, + "learning_rate": 1.2311254980331477e-06, + "loss": 1.359, + "step": 3707 + }, + { + "epoch": 35.4, + "learning_rate": 1.2257522177361137e-06, + "loss": 1.6212, + "step": 3708 + }, + { + "epoch": 35.41, + "learning_rate": 1.220390318301954e-06, + "loss": 1.3796, + "step": 3709 + }, + { + "epoch": 35.42, + "learning_rate": 1.2150398029810306e-06, + "loss": 1.4173, + "step": 3710 + }, + { + "epoch": 35.43, + "learning_rate": 1.2097006750167984e-06, + "loss": 1.5547, + "step": 3711 + }, + { + "epoch": 35.44, + "learning_rate": 1.2043729376458146e-06, + "loss": 1.6218, + "step": 3712 + }, + { + "epoch": 35.45, + "learning_rate": 1.1990565940977294e-06, + "loss": 1.984, + "step": 3713 + }, + { + "epoch": 35.46, + "learning_rate": 1.1937516475952826e-06, + "loss": 1.908, + "step": 3714 + }, + { + "epoch": 35.47, + "learning_rate": 1.188458101354313e-06, + "loss": 1.3331, + "step": 3715 + }, + { + "epoch": 35.47, + "learning_rate": 1.18317595858374e-06, + "loss": 1.1591, + "step": 3716 + }, + { + "epoch": 35.48, + "learning_rate": 1.177905222485578e-06, + "loss": 1.2754, + "step": 3717 + }, + { + "epoch": 35.49, + "learning_rate": 1.172645896254918e-06, + "loss": 1.6976, + "step": 3718 + }, + { + "epoch": 35.5, + "learning_rate": 1.1673979830799453e-06, + "loss": 1.6439, + "step": 3719 + }, + { + "epoch": 35.51, + "learning_rate": 1.1621614861419194e-06, + "loss": 1.4912, + "step": 3720 + }, + { + "epoch": 35.52, + "learning_rate": 1.1569364086151768e-06, + "loss": 1.3587, + "step": 3721 + }, + { + "epoch": 35.53, + "learning_rate": 1.151722753667137e-06, + "loss": 1.7894, + "step": 3722 + }, + { + "epoch": 35.54, + "learning_rate": 1.1465205244582966e-06, + "loss": 1.4789, + "step": 3723 + }, + { + "epoch": 35.55, + "learning_rate": 1.1413297241422194e-06, + "loss": 1.5418, + "step": 3724 + }, + { + "epoch": 35.56, + "learning_rate": 1.1361503558655485e-06, + "loss": 1.4515, + "step": 3725 + }, + { + "epoch": 35.57, + "learning_rate": 1.13098242276799e-06, + "loss": 1.4703, + "step": 3726 + }, + { + "epoch": 35.58, + "learning_rate": 1.1258259279823225e-06, + "loss": 1.5319, + "step": 3727 + }, + { + "epoch": 35.59, + "learning_rate": 1.1206808746343879e-06, + "loss": 1.3467, + "step": 3728 + }, + { + "epoch": 35.6, + "learning_rate": 1.1155472658430976e-06, + "loss": 1.6609, + "step": 3729 + }, + { + "epoch": 35.61, + "learning_rate": 1.1104251047204185e-06, + "loss": 1.3676, + "step": 3730 + }, + { + "epoch": 35.62, + "learning_rate": 1.105314394371384e-06, + "loss": 1.5306, + "step": 3731 + }, + { + "epoch": 35.63, + "learning_rate": 1.1002151378940785e-06, + "loss": 1.6625, + "step": 3732 + }, + { + "epoch": 35.64, + "learning_rate": 1.0951273383796535e-06, + "loss": 1.9965, + "step": 3733 + }, + { + "epoch": 35.65, + "learning_rate": 1.0900509989123088e-06, + "loss": 1.294, + "step": 3734 + }, + { + "epoch": 35.66, + "learning_rate": 1.0849861225692936e-06, + "loss": 1.5093, + "step": 3735 + }, + { + "epoch": 35.67, + "learning_rate": 1.0799327124209168e-06, + "loss": 1.475, + "step": 3736 + }, + { + "epoch": 35.68, + "learning_rate": 1.0748907715305301e-06, + "loss": 1.2642, + "step": 3737 + }, + { + "epoch": 35.68, + "learning_rate": 1.069860302954535e-06, + "loss": 1.2895, + "step": 3738 + }, + { + "epoch": 35.69, + "learning_rate": 1.0648413097423816e-06, + "loss": 1.5356, + "step": 3739 + }, + { + "epoch": 35.7, + "learning_rate": 1.0598337949365577e-06, + "loss": 1.3689, + "step": 3740 + }, + { + "epoch": 35.71, + "learning_rate": 1.0548377615725957e-06, + "loss": 1.6641, + "step": 3741 + }, + { + "epoch": 35.72, + "learning_rate": 1.0498532126790684e-06, + "loss": 1.602, + "step": 3742 + }, + { + "epoch": 35.73, + "learning_rate": 1.0448801512775897e-06, + "loss": 1.4403, + "step": 3743 + }, + { + "epoch": 35.74, + "learning_rate": 1.0399185803828016e-06, + "loss": 1.6044, + "step": 3744 + }, + { + "epoch": 35.75, + "learning_rate": 1.0349685030023893e-06, + "loss": 2.258, + "step": 3745 + }, + { + "epoch": 35.76, + "learning_rate": 1.0300299221370635e-06, + "loss": 1.5843, + "step": 3746 + }, + { + "epoch": 35.77, + "learning_rate": 1.0251028407805742e-06, + "loss": 1.7997, + "step": 3747 + }, + { + "epoch": 35.78, + "learning_rate": 1.020187261919694e-06, + "loss": 1.8671, + "step": 3748 + }, + { + "epoch": 35.79, + "learning_rate": 1.0152831885342195e-06, + "loss": 1.4349, + "step": 3749 + }, + { + "epoch": 35.8, + "learning_rate": 1.010390623596982e-06, + "loss": 1.7222, + "step": 3750 + }, + { + "epoch": 35.81, + "learning_rate": 1.0055095700738305e-06, + "loss": 1.7083, + "step": 3751 + }, + { + "epoch": 35.82, + "learning_rate": 1.0006400309236385e-06, + "loss": 1.5454, + "step": 3752 + }, + { + "epoch": 35.83, + "learning_rate": 9.957820090982962e-07, + "loss": 1.6384, + "step": 3753 + }, + { + "epoch": 35.84, + "learning_rate": 9.909355075427163e-07, + "loss": 1.5436, + "step": 3754 + }, + { + "epoch": 35.85, + "learning_rate": 9.861005291948244e-07, + "loss": 1.1726, + "step": 3755 + }, + { + "epoch": 35.86, + "learning_rate": 9.81277076985563e-07, + "loss": 1.3178, + "step": 3756 + }, + { + "epoch": 35.87, + "learning_rate": 9.764651538388858e-07, + "loss": 1.4604, + "step": 3757 + }, + { + "epoch": 35.88, + "learning_rate": 9.7166476267176e-07, + "loss": 1.5917, + "step": 3758 + }, + { + "epoch": 35.89, + "learning_rate": 9.668759063941603e-07, + "loss": 1.4172, + "step": 3759 + }, + { + "epoch": 35.89, + "learning_rate": 9.620985879090683e-07, + "loss": 1.4236, + "step": 3760 + }, + { + "epoch": 35.9, + "learning_rate": 9.573328101124747e-07, + "loss": 1.3154, + "step": 3761 + }, + { + "epoch": 35.91, + "learning_rate": 9.525785758933681e-07, + "loss": 1.5958, + "step": 3762 + }, + { + "epoch": 35.92, + "learning_rate": 9.478358881337479e-07, + "loss": 2.0128, + "step": 3763 + }, + { + "epoch": 35.93, + "learning_rate": 9.431047497086054e-07, + "loss": 1.475, + "step": 3764 + }, + { + "epoch": 35.94, + "learning_rate": 9.383851634859398e-07, + "loss": 1.7278, + "step": 3765 + }, + { + "epoch": 35.95, + "learning_rate": 9.33677132326738e-07, + "loss": 1.4826, + "step": 3766 + }, + { + "epoch": 35.96, + "learning_rate": 9.289806590849904e-07, + "loss": 1.8617, + "step": 3767 + }, + { + "epoch": 35.97, + "learning_rate": 9.242957466076752e-07, + "loss": 1.2947, + "step": 3768 + }, + { + "epoch": 35.98, + "learning_rate": 9.196223977347696e-07, + "loss": 1.5291, + "step": 3769 + }, + { + "epoch": 35.99, + "learning_rate": 9.149606152992296e-07, + "loss": 1.7631, + "step": 3770 + }, + { + "epoch": 36.0, + "learning_rate": 9.103104021270082e-07, + "loss": 1.8117, + "step": 3771 + }, + { + "epoch": 36.01, + "learning_rate": 9.056717610370435e-07, + "loss": 1.8309, + "step": 3772 + }, + { + "epoch": 36.02, + "learning_rate": 9.010446948412621e-07, + "loss": 1.7314, + "step": 3773 + }, + { + "epoch": 36.03, + "learning_rate": 8.964292063445645e-07, + "loss": 1.8407, + "step": 3774 + }, + { + "epoch": 36.04, + "learning_rate": 8.918252983448439e-07, + "loss": 1.4202, + "step": 3775 + }, + { + "epoch": 36.05, + "learning_rate": 8.872329736329654e-07, + "loss": 1.5746, + "step": 3776 + }, + { + "epoch": 36.06, + "learning_rate": 8.82652234992778e-07, + "loss": 1.198, + "step": 3777 + }, + { + "epoch": 36.07, + "learning_rate": 8.780830852011002e-07, + "loss": 1.6083, + "step": 3778 + }, + { + "epoch": 36.08, + "learning_rate": 8.735255270277299e-07, + "loss": 1.8101, + "step": 3779 + }, + { + "epoch": 36.09, + "learning_rate": 8.689795632354414e-07, + "loss": 1.7768, + "step": 3780 + }, + { + "epoch": 36.1, + "learning_rate": 8.64445196579975e-07, + "loss": 1.3721, + "step": 3781 + }, + { + "epoch": 36.11, + "learning_rate": 8.599224298100428e-07, + "loss": 1.6314, + "step": 3782 + }, + { + "epoch": 36.11, + "learning_rate": 8.554112656673253e-07, + "loss": 1.5264, + "step": 3783 + }, + { + "epoch": 36.12, + "learning_rate": 8.509117068864703e-07, + "loss": 1.8407, + "step": 3784 + }, + { + "epoch": 36.13, + "learning_rate": 8.464237561950894e-07, + "loss": 1.4479, + "step": 3785 + }, + { + "epoch": 36.14, + "learning_rate": 8.419474163137575e-07, + "loss": 1.4303, + "step": 3786 + }, + { + "epoch": 36.15, + "learning_rate": 8.374826899560129e-07, + "loss": 1.7592, + "step": 3787 + }, + { + "epoch": 36.16, + "learning_rate": 8.330295798283527e-07, + "loss": 1.3484, + "step": 3788 + }, + { + "epoch": 36.17, + "learning_rate": 8.285880886302267e-07, + "loss": 1.4005, + "step": 3789 + }, + { + "epoch": 36.18, + "learning_rate": 8.241582190540498e-07, + "loss": 1.6065, + "step": 3790 + }, + { + "epoch": 36.19, + "learning_rate": 8.197399737851875e-07, + "loss": 1.2884, + "step": 3791 + }, + { + "epoch": 36.2, + "learning_rate": 8.153333555019638e-07, + "loss": 1.541, + "step": 3792 + }, + { + "epoch": 36.21, + "learning_rate": 8.109383668756443e-07, + "loss": 1.7575, + "step": 3793 + }, + { + "epoch": 36.22, + "learning_rate": 8.065550105704556e-07, + "loss": 1.507, + "step": 3794 + }, + { + "epoch": 36.23, + "learning_rate": 8.021832892435677e-07, + "loss": 1.8598, + "step": 3795 + }, + { + "epoch": 36.24, + "learning_rate": 7.978232055450963e-07, + "loss": 1.6075, + "step": 3796 + }, + { + "epoch": 36.25, + "learning_rate": 7.934747621181049e-07, + "loss": 1.6133, + "step": 3797 + }, + { + "epoch": 36.26, + "learning_rate": 7.891379615986006e-07, + "loss": 1.0964, + "step": 3798 + }, + { + "epoch": 36.27, + "learning_rate": 7.848128066155314e-07, + "loss": 1.3503, + "step": 3799 + }, + { + "epoch": 36.28, + "learning_rate": 7.804992997907845e-07, + "loss": 1.4002, + "step": 3800 + }, + { + "epoch": 36.29, + "learning_rate": 7.761974437391906e-07, + "loss": 1.3189, + "step": 3801 + }, + { + "epoch": 36.3, + "learning_rate": 7.719072410685169e-07, + "loss": 1.2708, + "step": 3802 + }, + { + "epoch": 36.31, + "learning_rate": 7.676286943794609e-07, + "loss": 1.1956, + "step": 3803 + }, + { + "epoch": 36.32, + "learning_rate": 7.633618062656589e-07, + "loss": 1.2857, + "step": 3804 + }, + { + "epoch": 36.32, + "learning_rate": 7.591065793136776e-07, + "loss": 1.5659, + "step": 3805 + }, + { + "epoch": 36.33, + "learning_rate": 7.548630161030179e-07, + "loss": 1.5343, + "step": 3806 + }, + { + "epoch": 36.34, + "learning_rate": 7.506311192061088e-07, + "loss": 1.6694, + "step": 3807 + }, + { + "epoch": 36.35, + "learning_rate": 7.46410891188305e-07, + "loss": 1.3995, + "step": 3808 + }, + { + "epoch": 36.36, + "learning_rate": 7.42202334607891e-07, + "loss": 1.1903, + "step": 3809 + }, + { + "epoch": 36.37, + "learning_rate": 7.380054520160729e-07, + "loss": 1.3462, + "step": 3810 + }, + { + "epoch": 36.38, + "learning_rate": 7.338202459569843e-07, + "loss": 1.5222, + "step": 3811 + }, + { + "epoch": 36.39, + "learning_rate": 7.296467189676737e-07, + "loss": 1.6297, + "step": 3812 + }, + { + "epoch": 36.4, + "learning_rate": 7.254848735781195e-07, + "loss": 1.5068, + "step": 3813 + }, + { + "epoch": 36.41, + "learning_rate": 7.21334712311208e-07, + "loss": 1.2175, + "step": 3814 + }, + { + "epoch": 36.42, + "learning_rate": 7.171962376827534e-07, + "loss": 1.4986, + "step": 3815 + }, + { + "epoch": 36.43, + "learning_rate": 7.130694522014736e-07, + "loss": 1.4654, + "step": 3816 + }, + { + "epoch": 36.44, + "learning_rate": 7.089543583690117e-07, + "loss": 1.3267, + "step": 3817 + }, + { + "epoch": 36.45, + "learning_rate": 7.048509586799168e-07, + "loss": 1.668, + "step": 3818 + }, + { + "epoch": 36.46, + "learning_rate": 7.007592556216502e-07, + "loss": 1.4349, + "step": 3819 + }, + { + "epoch": 36.47, + "learning_rate": 6.966792516745858e-07, + "loss": 1.5675, + "step": 3820 + }, + { + "epoch": 36.48, + "learning_rate": 6.926109493120025e-07, + "loss": 1.7105, + "step": 3821 + }, + { + "epoch": 36.49, + "learning_rate": 6.885543510000858e-07, + "loss": 1.5463, + "step": 3822 + }, + { + "epoch": 36.5, + "learning_rate": 6.845094591979284e-07, + "loss": 1.2849, + "step": 3823 + }, + { + "epoch": 36.51, + "learning_rate": 6.804762763575246e-07, + "loss": 1.8341, + "step": 3824 + }, + { + "epoch": 36.52, + "learning_rate": 6.764548049237695e-07, + "loss": 1.6418, + "step": 3825 + }, + { + "epoch": 36.53, + "learning_rate": 6.724450473344623e-07, + "loss": 1.8697, + "step": 3826 + }, + { + "epoch": 36.53, + "learning_rate": 6.684470060202986e-07, + "loss": 1.6277, + "step": 3827 + }, + { + "epoch": 36.54, + "learning_rate": 6.64460683404875e-07, + "loss": 1.6236, + "step": 3828 + }, + { + "epoch": 36.55, + "learning_rate": 6.604860819046833e-07, + "loss": 1.6831, + "step": 3829 + }, + { + "epoch": 36.56, + "learning_rate": 6.565232039291025e-07, + "loss": 1.3268, + "step": 3830 + }, + { + "epoch": 36.57, + "learning_rate": 6.525720518804135e-07, + "loss": 1.8198, + "step": 3831 + }, + { + "epoch": 36.58, + "learning_rate": 6.486326281537891e-07, + "loss": 1.5092, + "step": 3832 + }, + { + "epoch": 36.59, + "learning_rate": 6.44704935137288e-07, + "loss": 1.11, + "step": 3833 + }, + { + "epoch": 36.6, + "learning_rate": 6.407889752118613e-07, + "loss": 1.695, + "step": 3834 + }, + { + "epoch": 36.61, + "learning_rate": 6.368847507513432e-07, + "loss": 1.4818, + "step": 3835 + }, + { + "epoch": 36.62, + "learning_rate": 6.329922641224562e-07, + "loss": 1.297, + "step": 3836 + }, + { + "epoch": 36.63, + "learning_rate": 6.291115176848128e-07, + "loss": 1.5983, + "step": 3837 + }, + { + "epoch": 36.64, + "learning_rate": 6.252425137909002e-07, + "loss": 1.9303, + "step": 3838 + }, + { + "epoch": 36.65, + "learning_rate": 6.21385254786091e-07, + "loss": 1.6189, + "step": 3839 + }, + { + "epoch": 36.66, + "learning_rate": 6.175397430086372e-07, + "loss": 1.6047, + "step": 3840 + }, + { + "epoch": 36.67, + "learning_rate": 6.137059807896717e-07, + "loss": 1.5787, + "step": 3841 + }, + { + "epoch": 36.68, + "learning_rate": 6.098839704532045e-07, + "loss": 1.2676, + "step": 3842 + }, + { + "epoch": 36.69, + "learning_rate": 6.060737143161177e-07, + "loss": 1.3569, + "step": 3843 + }, + { + "epoch": 36.7, + "learning_rate": 6.022752146881728e-07, + "loss": 1.5893, + "step": 3844 + }, + { + "epoch": 36.71, + "learning_rate": 5.984884738720031e-07, + "loss": 1.5905, + "step": 3845 + }, + { + "epoch": 36.72, + "learning_rate": 5.947134941631172e-07, + "loss": 1.4544, + "step": 3846 + }, + { + "epoch": 36.73, + "learning_rate": 5.909502778498821e-07, + "loss": 1.743, + "step": 3847 + }, + { + "epoch": 36.74, + "learning_rate": 5.871988272135487e-07, + "loss": 1.5662, + "step": 3848 + }, + { + "epoch": 36.74, + "learning_rate": 5.834591445282245e-07, + "loss": 1.6365, + "step": 3849 + }, + { + "epoch": 36.75, + "learning_rate": 5.797312320608939e-07, + "loss": 1.4951, + "step": 3850 + }, + { + "epoch": 36.76, + "learning_rate": 5.760150920713959e-07, + "loss": 1.5093, + "step": 3851 + }, + { + "epoch": 36.77, + "learning_rate": 5.723107268124372e-07, + "loss": 1.6801, + "step": 3852 + }, + { + "epoch": 36.78, + "learning_rate": 5.686181385295886e-07, + "loss": 1.4797, + "step": 3853 + }, + { + "epoch": 36.79, + "learning_rate": 5.649373294612814e-07, + "loss": 1.4902, + "step": 3854 + }, + { + "epoch": 36.8, + "learning_rate": 5.612683018388044e-07, + "loss": 1.3247, + "step": 3855 + }, + { + "epoch": 36.81, + "learning_rate": 5.57611057886307e-07, + "loss": 1.5073, + "step": 3856 + }, + { + "epoch": 36.82, + "learning_rate": 5.539655998207872e-07, + "loss": 1.419, + "step": 3857 + }, + { + "epoch": 36.83, + "learning_rate": 5.503319298521104e-07, + "loss": 1.522, + "step": 3858 + }, + { + "epoch": 36.84, + "learning_rate": 5.467100501829903e-07, + "loss": 1.852, + "step": 3859 + }, + { + "epoch": 36.85, + "learning_rate": 5.430999630089929e-07, + "loss": 1.6106, + "step": 3860 + }, + { + "epoch": 36.86, + "learning_rate": 5.395016705185363e-07, + "loss": 2.0535, + "step": 3861 + }, + { + "epoch": 36.87, + "learning_rate": 5.359151748928892e-07, + "loss": 1.8767, + "step": 3862 + }, + { + "epoch": 36.88, + "learning_rate": 5.323404783061681e-07, + "loss": 1.607, + "step": 3863 + }, + { + "epoch": 36.89, + "learning_rate": 5.287775829253395e-07, + "loss": 1.2409, + "step": 3864 + }, + { + "epoch": 36.9, + "learning_rate": 5.252264909102134e-07, + "loss": 1.9762, + "step": 3865 + }, + { + "epoch": 36.91, + "learning_rate": 5.216872044134435e-07, + "loss": 1.4031, + "step": 3866 + }, + { + "epoch": 36.92, + "learning_rate": 5.181597255805315e-07, + "loss": 1.7489, + "step": 3867 + }, + { + "epoch": 36.93, + "learning_rate": 5.146440565498178e-07, + "loss": 1.5775, + "step": 3868 + }, + { + "epoch": 36.94, + "learning_rate": 5.111401994524867e-07, + "loss": 1.9865, + "step": 3869 + }, + { + "epoch": 36.95, + "learning_rate": 5.076481564125568e-07, + "loss": 1.7606, + "step": 3870 + }, + { + "epoch": 36.95, + "learning_rate": 5.041679295468926e-07, + "loss": 1.8119, + "step": 3871 + }, + { + "epoch": 36.96, + "learning_rate": 5.006995209651866e-07, + "loss": 1.8968, + "step": 3872 + }, + { + "epoch": 36.97, + "learning_rate": 4.972429327699768e-07, + "loss": 1.6249, + "step": 3873 + }, + { + "epoch": 36.98, + "learning_rate": 4.937981670566294e-07, + "loss": 1.4366, + "step": 3874 + }, + { + "epoch": 36.99, + "learning_rate": 4.903652259133451e-07, + "loss": 1.5635, + "step": 3875 + }, + { + "epoch": 37.0, + "learning_rate": 4.86944111421157e-07, + "loss": 1.299, + "step": 3876 + }, + { + "epoch": 37.01, + "learning_rate": 4.835348256539307e-07, + "loss": 1.5373, + "step": 3877 + }, + { + "epoch": 37.02, + "learning_rate": 4.801373706783597e-07, + "loss": 1.3091, + "step": 3878 + }, + { + "epoch": 37.03, + "learning_rate": 4.767517485539608e-07, + "loss": 1.4146, + "step": 3879 + }, + { + "epoch": 37.04, + "learning_rate": 4.7337796133309024e-07, + "loss": 1.3959, + "step": 3880 + }, + { + "epoch": 37.05, + "learning_rate": 4.700160110609142e-07, + "loss": 1.5698, + "step": 3881 + }, + { + "epoch": 37.06, + "learning_rate": 4.666658997754381e-07, + "loss": 1.5572, + "step": 3882 + }, + { + "epoch": 37.07, + "learning_rate": 4.63327629507484e-07, + "loss": 1.5378, + "step": 3883 + }, + { + "epoch": 37.08, + "learning_rate": 4.60001202280691e-07, + "loss": 1.1778, + "step": 3884 + }, + { + "epoch": 37.09, + "learning_rate": 4.566866201115261e-07, + "loss": 1.7379, + "step": 3885 + }, + { + "epoch": 37.1, + "learning_rate": 4.533838850092731e-07, + "loss": 1.5248, + "step": 3886 + }, + { + "epoch": 37.11, + "learning_rate": 4.500929989760372e-07, + "loss": 1.5827, + "step": 3887 + }, + { + "epoch": 37.12, + "learning_rate": 4.4681396400673814e-07, + "loss": 1.9115, + "step": 3888 + }, + { + "epoch": 37.13, + "learning_rate": 4.435467820891104e-07, + "loss": 1.5828, + "step": 3889 + }, + { + "epoch": 37.14, + "learning_rate": 4.402914552037052e-07, + "loss": 1.9609, + "step": 3890 + }, + { + "epoch": 37.15, + "learning_rate": 4.3704798532388624e-07, + "loss": 1.3312, + "step": 3891 + }, + { + "epoch": 37.16, + "learning_rate": 4.338163744158319e-07, + "loss": 1.6616, + "step": 3892 + }, + { + "epoch": 37.16, + "learning_rate": 4.305966244385285e-07, + "loss": 1.8841, + "step": 3893 + }, + { + "epoch": 37.17, + "learning_rate": 4.273887373437746e-07, + "loss": 1.713, + "step": 3894 + }, + { + "epoch": 37.18, + "learning_rate": 4.241927150761749e-07, + "loss": 1.5218, + "step": 3895 + }, + { + "epoch": 37.19, + "learning_rate": 4.210085595731461e-07, + "loss": 1.3204, + "step": 3896 + }, + { + "epoch": 37.2, + "learning_rate": 4.1783627276490433e-07, + "loss": 1.322, + "step": 3897 + }, + { + "epoch": 37.21, + "learning_rate": 4.14675856574478e-07, + "loss": 1.2805, + "step": 3898 + }, + { + "epoch": 37.22, + "learning_rate": 4.1152731291769886e-07, + "loss": 1.6465, + "step": 3899 + }, + { + "epoch": 37.23, + "learning_rate": 4.083906437031959e-07, + "loss": 1.7734, + "step": 3900 + }, + { + "epoch": 37.24, + "learning_rate": 4.0526585083240586e-07, + "loss": 1.8074, + "step": 3901 + }, + { + "epoch": 37.25, + "learning_rate": 4.0215293619956466e-07, + "loss": 1.3187, + "step": 3902 + }, + { + "epoch": 37.26, + "learning_rate": 3.990519016917049e-07, + "loss": 1.3325, + "step": 3903 + }, + { + "epoch": 37.27, + "learning_rate": 3.959627491886586e-07, + "loss": 1.6575, + "step": 3904 + }, + { + "epoch": 37.28, + "learning_rate": 3.928854805630589e-07, + "loss": 1.7215, + "step": 3905 + }, + { + "epoch": 37.29, + "learning_rate": 3.8982009768033127e-07, + "loss": 1.6362, + "step": 3906 + }, + { + "epoch": 37.3, + "learning_rate": 3.8676660239869377e-07, + "loss": 1.2608, + "step": 3907 + }, + { + "epoch": 37.31, + "learning_rate": 3.837249965691658e-07, + "loss": 1.3355, + "step": 3908 + }, + { + "epoch": 37.32, + "learning_rate": 3.806952820355503e-07, + "loss": 1.6514, + "step": 3909 + }, + { + "epoch": 37.33, + "learning_rate": 3.776774606344491e-07, + "loss": 1.4577, + "step": 3910 + }, + { + "epoch": 37.34, + "learning_rate": 3.746715341952523e-07, + "loss": 1.5835, + "step": 3911 + }, + { + "epoch": 37.35, + "learning_rate": 3.716775045401355e-07, + "loss": 1.7664, + "step": 3912 + }, + { + "epoch": 37.36, + "learning_rate": 3.6869537348406706e-07, + "loss": 1.4002, + "step": 3913 + }, + { + "epoch": 37.37, + "learning_rate": 3.65725142834803e-07, + "loss": 1.7067, + "step": 3914 + }, + { + "epoch": 37.37, + "learning_rate": 3.627668143928853e-07, + "loss": 1.4857, + "step": 3915 + }, + { + "epoch": 37.38, + "learning_rate": 3.598203899516328e-07, + "loss": 1.3648, + "step": 3916 + }, + { + "epoch": 37.39, + "learning_rate": 3.568858712971568e-07, + "loss": 1.3116, + "step": 3917 + }, + { + "epoch": 37.4, + "learning_rate": 3.5396326020835205e-07, + "loss": 1.6891, + "step": 3918 + }, + { + "epoch": 37.41, + "learning_rate": 3.51052558456888e-07, + "loss": 1.3935, + "step": 3919 + }, + { + "epoch": 37.42, + "learning_rate": 3.481537678072222e-07, + "loss": 1.7, + "step": 3920 + }, + { + "epoch": 37.43, + "learning_rate": 3.4526689001658455e-07, + "loss": 1.2706, + "step": 3921 + }, + { + "epoch": 37.44, + "learning_rate": 3.4239192683499066e-07, + "loss": 1.7196, + "step": 3922 + }, + { + "epoch": 37.45, + "learning_rate": 3.3952888000522877e-07, + "loss": 1.6144, + "step": 3923 + }, + { + "epoch": 37.46, + "learning_rate": 3.3667775126286605e-07, + "loss": 1.3852, + "step": 3924 + }, + { + "epoch": 37.47, + "learning_rate": 3.3383854233624003e-07, + "loss": 1.4442, + "step": 3925 + }, + { + "epoch": 37.48, + "learning_rate": 3.310112549464695e-07, + "loss": 1.7261, + "step": 3926 + }, + { + "epoch": 37.49, + "learning_rate": 3.281958908074412e-07, + "loss": 1.6194, + "step": 3927 + }, + { + "epoch": 37.5, + "learning_rate": 3.2539245162581666e-07, + "loss": 1.3911, + "step": 3928 + }, + { + "epoch": 37.51, + "learning_rate": 3.2260093910102764e-07, + "loss": 1.5012, + "step": 3929 + }, + { + "epoch": 37.52, + "learning_rate": 3.19821354925276e-07, + "loss": 1.5604, + "step": 3930 + }, + { + "epoch": 37.53, + "learning_rate": 3.1705370078353393e-07, + "loss": 1.9402, + "step": 3931 + }, + { + "epoch": 37.54, + "learning_rate": 3.1429797835353935e-07, + "loss": 1.5631, + "step": 3932 + }, + { + "epoch": 37.55, + "learning_rate": 3.115541893057983e-07, + "loss": 1.9806, + "step": 3933 + }, + { + "epoch": 37.56, + "learning_rate": 3.0882233530358686e-07, + "loss": 1.3141, + "step": 3934 + }, + { + "epoch": 37.57, + "learning_rate": 3.0610241800293815e-07, + "loss": 1.9015, + "step": 3935 + }, + { + "epoch": 37.58, + "learning_rate": 3.033944390526555e-07, + "loss": 1.5115, + "step": 3936 + }, + { + "epoch": 37.58, + "learning_rate": 3.006984000943036e-07, + "loss": 1.6901, + "step": 3937 + }, + { + "epoch": 37.59, + "learning_rate": 2.9801430276220625e-07, + "loss": 1.8221, + "step": 3938 + }, + { + "epoch": 37.6, + "learning_rate": 2.953421486834551e-07, + "loss": 1.5741, + "step": 3939 + }, + { + "epoch": 37.61, + "learning_rate": 2.926819394778946e-07, + "loss": 1.5123, + "step": 3940 + }, + { + "epoch": 37.62, + "learning_rate": 2.900336767581302e-07, + "loss": 1.2131, + "step": 3941 + }, + { + "epoch": 37.63, + "learning_rate": 2.873973621295312e-07, + "loss": 1.5981, + "step": 3942 + }, + { + "epoch": 37.64, + "learning_rate": 2.847729971902147e-07, + "loss": 1.3817, + "step": 3943 + }, + { + "epoch": 37.65, + "learning_rate": 2.8216058353106147e-07, + "loss": 1.4318, + "step": 3944 + }, + { + "epoch": 37.66, + "learning_rate": 2.795601227357048e-07, + "loss": 1.7387, + "step": 3945 + }, + { + "epoch": 37.67, + "learning_rate": 2.7697161638053025e-07, + "loss": 1.5506, + "step": 3946 + }, + { + "epoch": 37.68, + "learning_rate": 2.7439506603468056e-07, + "loss": 1.5632, + "step": 3947 + }, + { + "epoch": 37.69, + "learning_rate": 2.718304732600485e-07, + "loss": 1.1902, + "step": 3948 + }, + { + "epoch": 37.7, + "learning_rate": 2.692778396112772e-07, + "loss": 1.4257, + "step": 3949 + }, + { + "epoch": 37.71, + "learning_rate": 2.6673716663575986e-07, + "loss": 1.8572, + "step": 3950 + }, + { + "epoch": 37.72, + "learning_rate": 2.6420845587364684e-07, + "loss": 1.7859, + "step": 3951 + }, + { + "epoch": 37.73, + "learning_rate": 2.6169170885782527e-07, + "loss": 1.946, + "step": 3952 + }, + { + "epoch": 37.74, + "learning_rate": 2.591869271139369e-07, + "loss": 1.4061, + "step": 3953 + }, + { + "epoch": 37.75, + "learning_rate": 2.5669411216036943e-07, + "loss": 1.6153, + "step": 3954 + }, + { + "epoch": 37.76, + "learning_rate": 2.542132655082541e-07, + "loss": 1.8186, + "step": 3955 + }, + { + "epoch": 37.77, + "learning_rate": 2.517443886614723e-07, + "loss": 1.9032, + "step": 3956 + }, + { + "epoch": 37.78, + "learning_rate": 2.4928748311664475e-07, + "loss": 1.7024, + "step": 3957 + }, + { + "epoch": 37.79, + "learning_rate": 2.468425503631355e-07, + "loss": 1.413, + "step": 3958 + }, + { + "epoch": 37.79, + "learning_rate": 2.4440959188305027e-07, + "loss": 1.6145, + "step": 3959 + }, + { + "epoch": 37.8, + "learning_rate": 2.419886091512402e-07, + "loss": 1.5958, + "step": 3960 + }, + { + "epoch": 37.81, + "learning_rate": 2.3957960363529374e-07, + "loss": 1.4124, + "step": 3961 + }, + { + "epoch": 37.82, + "learning_rate": 2.3718257679553603e-07, + "loss": 1.5047, + "step": 3962 + }, + { + "epoch": 37.83, + "learning_rate": 2.347975300850358e-07, + "loss": 1.3686, + "step": 3963 + }, + { + "epoch": 37.84, + "learning_rate": 2.3242446494959657e-07, + "loss": 1.8043, + "step": 3964 + }, + { + "epoch": 37.85, + "learning_rate": 2.3006338282776099e-07, + "loss": 1.2865, + "step": 3965 + }, + { + "epoch": 37.86, + "learning_rate": 2.2771428515080408e-07, + "loss": 1.1027, + "step": 3966 + }, + { + "epoch": 37.87, + "learning_rate": 2.2537717334274012e-07, + "loss": 1.6436, + "step": 3967 + }, + { + "epoch": 37.88, + "learning_rate": 2.2305204882031583e-07, + "loss": 1.398, + "step": 3968 + }, + { + "epoch": 37.89, + "learning_rate": 2.207389129930082e-07, + "loss": 1.5645, + "step": 3969 + }, + { + "epoch": 37.9, + "learning_rate": 2.1843776726303112e-07, + "loss": 1.5776, + "step": 3970 + }, + { + "epoch": 37.91, + "learning_rate": 2.1614861302532876e-07, + "loss": 1.3836, + "step": 3971 + }, + { + "epoch": 37.92, + "learning_rate": 2.1387145166757773e-07, + "loss": 1.7867, + "step": 3972 + }, + { + "epoch": 37.93, + "learning_rate": 2.116062845701783e-07, + "loss": 1.1956, + "step": 3973 + }, + { + "epoch": 37.94, + "learning_rate": 2.0935311310626983e-07, + "loss": 1.3491, + "step": 3974 + }, + { + "epoch": 37.95, + "learning_rate": 2.0711193864170864e-07, + "loss": 1.851, + "step": 3975 + }, + { + "epoch": 37.96, + "learning_rate": 2.048827625350902e-07, + "loss": 1.546, + "step": 3976 + }, + { + "epoch": 37.97, + "learning_rate": 2.026655861377269e-07, + "loss": 1.4186, + "step": 3977 + }, + { + "epoch": 37.98, + "learning_rate": 2.0046041079366364e-07, + "loss": 1.6882, + "step": 3978 + }, + { + "epoch": 37.99, + "learning_rate": 1.982672378396644e-07, + "loss": 1.9181, + "step": 3979 + }, + { + "epoch": 38.0, + "learning_rate": 1.960860686052235e-07, + "loss": 1.3128, + "step": 3980 + }, + { + "epoch": 38.0, + "learning_rate": 1.9391690441255219e-07, + "loss": 1.8941, + "step": 3981 + }, + { + "epoch": 38.01, + "learning_rate": 1.9175974657659192e-07, + "loss": 1.235, + "step": 3982 + }, + { + "epoch": 38.02, + "learning_rate": 1.8961459640499892e-07, + "loss": 1.6414, + "step": 3983 + }, + { + "epoch": 38.03, + "learning_rate": 1.8748145519815742e-07, + "loss": 1.7996, + "step": 3984 + }, + { + "epoch": 38.04, + "learning_rate": 1.8536032424916194e-07, + "loss": 1.6823, + "step": 3985 + }, + { + "epoch": 38.05, + "learning_rate": 1.832512048438373e-07, + "loss": 1.8836, + "step": 3986 + }, + { + "epoch": 38.06, + "learning_rate": 1.811540982607185e-07, + "loss": 1.659, + "step": 3987 + }, + { + "epoch": 38.07, + "learning_rate": 1.7906900577106422e-07, + "loss": 1.5635, + "step": 3988 + }, + { + "epoch": 38.08, + "learning_rate": 1.7699592863884785e-07, + "loss": 1.7113, + "step": 3989 + }, + { + "epoch": 38.09, + "learning_rate": 1.7493486812075743e-07, + "loss": 1.3637, + "step": 3990 + }, + { + "epoch": 38.1, + "learning_rate": 1.7288582546620024e-07, + "loss": 1.4822, + "step": 3991 + }, + { + "epoch": 38.11, + "learning_rate": 1.7084880191729601e-07, + "loss": 1.7053, + "step": 3992 + }, + { + "epoch": 38.12, + "learning_rate": 1.688237987088792e-07, + "loss": 1.6334, + "step": 3993 + }, + { + "epoch": 38.13, + "learning_rate": 1.6681081706849677e-07, + "loss": 1.2675, + "step": 3994 + }, + { + "epoch": 38.14, + "learning_rate": 1.6480985821640815e-07, + "loss": 1.8372, + "step": 3995 + }, + { + "epoch": 38.15, + "learning_rate": 1.6282092336558975e-07, + "loss": 1.2304, + "step": 3996 + }, + { + "epoch": 38.16, + "learning_rate": 1.6084401372171932e-07, + "loss": 1.3083, + "step": 3997 + }, + { + "epoch": 38.17, + "learning_rate": 1.5887913048319158e-07, + "loss": 1.4168, + "step": 3998 + }, + { + "epoch": 38.18, + "learning_rate": 1.5692627484111377e-07, + "loss": 1.5042, + "step": 3999 + }, + { + "epoch": 38.19, + "learning_rate": 1.5498544797929226e-07, + "loss": 1.2526, + "step": 4000 + }, + { + "epoch": 38.2, + "learning_rate": 1.530566510742526e-07, + "loss": 1.8032, + "step": 4001 + }, + { + "epoch": 38.21, + "learning_rate": 1.511398852952195e-07, + "loss": 1.4906, + "step": 4002 + }, + { + "epoch": 38.21, + "learning_rate": 1.4923515180412794e-07, + "loss": 1.3018, + "step": 4003 + }, + { + "epoch": 38.22, + "learning_rate": 1.47342451755621e-07, + "loss": 1.7271, + "step": 4004 + }, + { + "epoch": 38.23, + "learning_rate": 1.454617862970431e-07, + "loss": 1.284, + "step": 4005 + }, + { + "epoch": 38.24, + "learning_rate": 1.435931565684423e-07, + "loss": 1.5071, + "step": 4006 + }, + { + "epoch": 38.25, + "learning_rate": 1.4173656370257693e-07, + "loss": 1.3975, + "step": 4007 + }, + { + "epoch": 38.26, + "learning_rate": 1.3989200882490227e-07, + "loss": 1.3491, + "step": 4008 + }, + { + "epoch": 38.27, + "learning_rate": 1.380594930535839e-07, + "loss": 1.3285, + "step": 4009 + }, + { + "epoch": 38.28, + "learning_rate": 1.3623901749947989e-07, + "loss": 1.5085, + "step": 4010 + }, + { + "epoch": 38.29, + "learning_rate": 1.344305832661541e-07, + "loss": 1.6516, + "step": 4011 + }, + { + "epoch": 38.3, + "learning_rate": 1.326341914498741e-07, + "loss": 1.6279, + "step": 4012 + }, + { + "epoch": 38.31, + "learning_rate": 1.3084984313960214e-07, + "loss": 1.4246, + "step": 4013 + }, + { + "epoch": 38.32, + "learning_rate": 1.2907753941700407e-07, + "loss": 1.3516, + "step": 4014 + }, + { + "epoch": 38.33, + "learning_rate": 1.2731728135643828e-07, + "loss": 1.2295, + "step": 4015 + }, + { + "epoch": 38.34, + "learning_rate": 1.25569070024969e-07, + "loss": 1.6022, + "step": 4016 + }, + { + "epoch": 38.35, + "learning_rate": 1.2383290648235292e-07, + "loss": 1.6948, + "step": 4017 + }, + { + "epoch": 38.36, + "learning_rate": 1.2210879178104597e-07, + "loss": 1.5851, + "step": 4018 + }, + { + "epoch": 38.37, + "learning_rate": 1.203967269661943e-07, + "loss": 1.903, + "step": 4019 + }, + { + "epoch": 38.38, + "learning_rate": 1.1869671307564778e-07, + "loss": 1.8133, + "step": 4020 + }, + { + "epoch": 38.39, + "learning_rate": 1.1700875113994425e-07, + "loss": 1.84, + "step": 4021 + }, + { + "epoch": 38.4, + "learning_rate": 1.1533284218231855e-07, + "loss": 1.731, + "step": 4022 + }, + { + "epoch": 38.41, + "learning_rate": 1.1366898721870245e-07, + "loss": 1.413, + "step": 4023 + }, + { + "epoch": 38.42, + "learning_rate": 1.120171872577136e-07, + "loss": 1.5756, + "step": 4024 + }, + { + "epoch": 38.42, + "learning_rate": 1.1037744330066658e-07, + "loss": 1.6721, + "step": 4025 + }, + { + "epoch": 38.43, + "learning_rate": 1.0874975634156625e-07, + "loss": 1.2701, + "step": 4026 + }, + { + "epoch": 38.44, + "learning_rate": 1.0713412736711227e-07, + "loss": 1.182, + "step": 4027 + }, + { + "epoch": 38.45, + "learning_rate": 1.055305573566856e-07, + "loss": 1.4051, + "step": 4028 + }, + { + "epoch": 38.46, + "learning_rate": 1.039390472823687e-07, + "loss": 1.4586, + "step": 4029 + }, + { + "epoch": 38.47, + "learning_rate": 1.0235959810892538e-07, + "loss": 1.2806, + "step": 4030 + }, + { + "epoch": 38.48, + "learning_rate": 1.0079221079380752e-07, + "loss": 1.8304, + "step": 4031 + }, + { + "epoch": 38.49, + "learning_rate": 9.9236886287164e-08, + "loss": 1.4832, + "step": 4032 + }, + { + "epoch": 38.5, + "learning_rate": 9.769362553182282e-08, + "loss": 1.7305, + "step": 4033 + }, + { + "epoch": 38.51, + "learning_rate": 9.61624294632979e-08, + "loss": 1.6234, + "step": 4034 + }, + { + "epoch": 38.52, + "learning_rate": 9.464329900980007e-08, + "loss": 1.7392, + "step": 4035 + }, + { + "epoch": 38.53, + "learning_rate": 9.31362350922127e-08, + "loss": 1.4322, + "step": 4036 + }, + { + "epoch": 38.54, + "learning_rate": 9.164123862411612e-08, + "loss": 1.4648, + "step": 4037 + }, + { + "epoch": 38.55, + "learning_rate": 9.015831051176537e-08, + "loss": 1.5891, + "step": 4038 + }, + { + "epoch": 38.56, + "learning_rate": 8.86874516541103e-08, + "loss": 1.2284, + "step": 4039 + }, + { + "epoch": 38.57, + "learning_rate": 8.722866294277543e-08, + "loss": 1.3866, + "step": 4040 + }, + { + "epoch": 38.58, + "learning_rate": 8.578194526207118e-08, + "loss": 1.3902, + "step": 4041 + }, + { + "epoch": 38.59, + "learning_rate": 8.434729948899378e-08, + "loss": 1.8258, + "step": 4042 + }, + { + "epoch": 38.6, + "learning_rate": 8.292472649321648e-08, + "loss": 1.4882, + "step": 4043 + }, + { + "epoch": 38.61, + "learning_rate": 8.151422713709611e-08, + "loss": 1.1618, + "step": 4044 + }, + { + "epoch": 38.62, + "learning_rate": 8.011580227567539e-08, + "loss": 1.5519, + "step": 4045 + }, + { + "epoch": 38.63, + "learning_rate": 7.872945275666954e-08, + "loss": 1.2248, + "step": 4046 + }, + { + "epoch": 38.63, + "learning_rate": 7.735517942047521e-08, + "loss": 1.8723, + "step": 4047 + }, + { + "epoch": 38.64, + "learning_rate": 7.599298310017488e-08, + "loss": 1.8598, + "step": 4048 + }, + { + "epoch": 38.65, + "learning_rate": 7.464286462152359e-08, + "loss": 1.8018, + "step": 4049 + }, + { + "epoch": 38.66, + "learning_rate": 7.330482480295775e-08, + "loss": 1.9624, + "step": 4050 + }, + { + "epoch": 38.67, + "learning_rate": 7.197886445559077e-08, + "loss": 1.6449, + "step": 4051 + }, + { + "epoch": 38.68, + "learning_rate": 7.0664984383213e-08, + "loss": 1.6453, + "step": 4052 + }, + { + "epoch": 38.69, + "learning_rate": 6.936318538229181e-08, + "loss": 1.3842, + "step": 4053 + }, + { + "epoch": 38.7, + "learning_rate": 6.80734682419737e-08, + "loss": 2.2304, + "step": 4054 + }, + { + "epoch": 38.71, + "learning_rate": 6.679583374407994e-08, + "loss": 1.3769, + "step": 4055 + }, + { + "epoch": 38.72, + "learning_rate": 6.553028266310434e-08, + "loss": 1.433, + "step": 4056 + }, + { + "epoch": 38.73, + "learning_rate": 6.42768157662177e-08, + "loss": 1.9031, + "step": 4057 + }, + { + "epoch": 38.74, + "learning_rate": 6.303543381326993e-08, + "loss": 1.3139, + "step": 4058 + }, + { + "epoch": 38.75, + "learning_rate": 6.18061375567769e-08, + "loss": 1.6585, + "step": 4059 + }, + { + "epoch": 38.76, + "learning_rate": 6.058892774193359e-08, + "loss": 1.2516, + "step": 4060 + }, + { + "epoch": 38.77, + "learning_rate": 5.938380510660757e-08, + "loss": 1.7237, + "step": 4061 + }, + { + "epoch": 38.78, + "learning_rate": 5.819077038133891e-08, + "loss": 1.7597, + "step": 4062 + }, + { + "epoch": 38.79, + "learning_rate": 5.700982428934021e-08, + "loss": 1.3313, + "step": 4063 + }, + { + "epoch": 38.8, + "learning_rate": 5.5840967546492154e-08, + "loss": 1.7921, + "step": 4064 + }, + { + "epoch": 38.81, + "learning_rate": 5.468420086135462e-08, + "loss": 1.5268, + "step": 4065 + }, + { + "epoch": 38.82, + "learning_rate": 5.353952493515113e-08, + "loss": 1.3219, + "step": 4066 + }, + { + "epoch": 38.83, + "learning_rate": 5.240694046178219e-08, + "loss": 1.4245, + "step": 4067 + }, + { + "epoch": 38.84, + "learning_rate": 5.1286448127811916e-08, + "loss": 1.527, + "step": 4068 + }, + { + "epoch": 38.84, + "learning_rate": 5.017804861247921e-08, + "loss": 1.1458, + "step": 4069 + }, + { + "epoch": 38.85, + "learning_rate": 4.908174258769105e-08, + "loss": 1.6686, + "step": 4070 + }, + { + "epoch": 38.86, + "learning_rate": 4.799753071802471e-08, + "loss": 1.4533, + "step": 4071 + }, + { + "epoch": 38.87, + "learning_rate": 4.692541366072112e-08, + "loss": 1.6468, + "step": 4072 + }, + { + "epoch": 38.88, + "learning_rate": 4.586539206569374e-08, + "loss": 1.4102, + "step": 4073 + }, + { + "epoch": 38.89, + "learning_rate": 4.481746657552188e-08, + "loss": 1.3814, + "step": 4074 + }, + { + "epoch": 38.9, + "learning_rate": 4.378163782545741e-08, + "loss": 1.1626, + "step": 4075 + }, + { + "epoch": 38.91, + "learning_rate": 4.2757906443409156e-08, + "loss": 1.2065, + "step": 4076 + }, + { + "epoch": 38.92, + "learning_rate": 4.1746273049962926e-08, + "loss": 1.9526, + "step": 4077 + }, + { + "epoch": 38.93, + "learning_rate": 4.074673825836373e-08, + "loss": 1.6455, + "step": 4078 + }, + { + "epoch": 38.94, + "learning_rate": 3.975930267452688e-08, + "loss": 1.7455, + "step": 4079 + }, + { + "epoch": 38.95, + "learning_rate": 3.878396689702912e-08, + "loss": 1.7859, + "step": 4080 + }, + { + "epoch": 38.96, + "learning_rate": 3.7820731517117514e-08, + "loss": 1.5451, + "step": 4081 + }, + { + "epoch": 38.97, + "learning_rate": 3.6869597118698306e-08, + "loss": 1.4857, + "step": 4082 + }, + { + "epoch": 38.98, + "learning_rate": 3.593056427834363e-08, + "loss": 1.4321, + "step": 4083 + }, + { + "epoch": 38.99, + "learning_rate": 3.5003633565295905e-08, + "loss": 1.3652, + "step": 4084 + }, + { + "epoch": 39.0, + "learning_rate": 3.408880554145011e-08, + "loss": 2.071, + "step": 4085 + }, + { + "epoch": 39.01, + "learning_rate": 3.318608076137597e-08, + "loss": 1.8416, + "step": 4086 + }, + { + "epoch": 39.02, + "learning_rate": 3.2295459772297976e-08, + "loss": 1.6851, + "step": 4087 + }, + { + "epoch": 39.03, + "learning_rate": 3.14169431141087e-08, + "loss": 1.2844, + "step": 4088 + }, + { + "epoch": 39.04, + "learning_rate": 3.055053131935992e-08, + "loss": 1.6838, + "step": 4089 + }, + { + "epoch": 39.05, + "learning_rate": 2.9696224913264848e-08, + "loss": 1.2436, + "step": 4090 + }, + { + "epoch": 39.05, + "learning_rate": 2.8854024413702554e-08, + "loss": 1.6556, + "step": 4091 + }, + { + "epoch": 39.06, + "learning_rate": 2.8023930331209094e-08, + "loss": 1.5784, + "step": 4092 + }, + { + "epoch": 39.07, + "learning_rate": 2.7205943168984172e-08, + "loss": 1.4986, + "step": 4093 + }, + { + "epoch": 39.08, + "learning_rate": 2.6400063422888923e-08, + "loss": 1.4379, + "step": 4094 + }, + { + "epoch": 39.09, + "learning_rate": 2.5606291581445897e-08, + "loss": 1.5209, + "step": 4095 + }, + { + "epoch": 39.1, + "learning_rate": 2.4824628125830198e-08, + "loss": 1.0637, + "step": 4096 + }, + { + "epoch": 39.11, + "learning_rate": 2.4055073529887228e-08, + "loss": 1.7054, + "step": 4097 + }, + { + "epoch": 39.12, + "learning_rate": 2.3297628260117166e-08, + "loss": 1.6272, + "step": 4098 + }, + { + "epoch": 39.13, + "learning_rate": 2.2552292775677164e-08, + "loss": 1.3852, + "step": 4099 + }, + { + "epoch": 39.14, + "learning_rate": 2.1819067528388026e-08, + "loss": 1.5673, + "step": 4100 + }, + { + "epoch": 39.15, + "learning_rate": 2.1097952962729762e-08, + "loss": 1.3995, + "step": 4101 + }, + { + "epoch": 39.16, + "learning_rate": 2.03889495158327e-08, + "loss": 1.4144, + "step": 4102 + }, + { + "epoch": 39.17, + "learning_rate": 1.9692057617497484e-08, + "loss": 1.4566, + "step": 4103 + }, + { + "epoch": 39.18, + "learning_rate": 1.9007277690172853e-08, + "loss": 1.7567, + "step": 4104 + }, + { + "epoch": 39.19, + "learning_rate": 1.8334610148973418e-08, + "loss": 1.5268, + "step": 4105 + }, + { + "epoch": 39.2, + "learning_rate": 1.7674055401661893e-08, + "loss": 1.76, + "step": 4106 + }, + { + "epoch": 39.21, + "learning_rate": 1.7025613848666856e-08, + "loss": 1.6064, + "step": 4107 + }, + { + "epoch": 39.22, + "learning_rate": 1.6389285883069428e-08, + "loss": 1.3384, + "step": 4108 + }, + { + "epoch": 39.23, + "learning_rate": 1.576507189060994e-08, + "loss": 1.3683, + "step": 4109 + }, + { + "epoch": 39.24, + "learning_rate": 1.5152972249683483e-08, + "loss": 1.3446, + "step": 4110 + }, + { + "epoch": 39.25, + "learning_rate": 1.4552987331342139e-08, + "loss": 1.6094, + "step": 4111 + }, + { + "epoch": 39.26, + "learning_rate": 1.3965117499292746e-08, + "loss": 1.6584, + "step": 4112 + }, + { + "epoch": 39.26, + "learning_rate": 1.3389363109899133e-08, + "loss": 1.5225, + "step": 4113 + }, + { + "epoch": 39.27, + "learning_rate": 1.2825724512184334e-08, + "loss": 1.2579, + "step": 4114 + }, + { + "epoch": 39.28, + "learning_rate": 1.2274202047821705e-08, + "loss": 1.706, + "step": 4115 + }, + { + "epoch": 39.29, + "learning_rate": 1.1734796051139363e-08, + "loss": 1.4544, + "step": 4116 + }, + { + "epoch": 39.3, + "learning_rate": 1.1207506849124639e-08, + "loss": 1.3734, + "step": 4117 + }, + { + "epoch": 39.31, + "learning_rate": 1.0692334761419621e-08, + "loss": 1.9373, + "step": 4118 + }, + { + "epoch": 39.32, + "learning_rate": 1.0189280100314502e-08, + "loss": 1.6197, + "step": 4119 + }, + { + "epoch": 39.33, + "learning_rate": 9.698343170763125e-09, + "loss": 1.4032, + "step": 4120 + }, + { + "epoch": 39.34, + "learning_rate": 9.21952427036965e-09, + "loss": 1.6162, + "step": 4121 + }, + { + "epoch": 39.35, + "learning_rate": 8.752823689386347e-09, + "loss": 1.7136, + "step": 4122 + }, + { + "epoch": 39.36, + "learning_rate": 8.298241710731347e-09, + "loss": 1.1391, + "step": 4123 + }, + { + "epoch": 39.37, + "learning_rate": 7.855778609966446e-09, + "loss": 1.3474, + "step": 4124 + }, + { + "epoch": 39.38, + "learning_rate": 7.425434655312647e-09, + "loss": 1.6151, + "step": 4125 + }, + { + "epoch": 39.39, + "learning_rate": 7.0072101076390505e-09, + "loss": 1.8672, + "step": 4126 + }, + { + "epoch": 39.4, + "learning_rate": 6.60110522047619e-09, + "loss": 1.2401, + "step": 4127 + }, + { + "epoch": 39.41, + "learning_rate": 6.207120240000475e-09, + "loss": 1.7832, + "step": 4128 + }, + { + "epoch": 39.42, + "learning_rate": 5.825255405043084e-09, + "loss": 1.4376, + "step": 4129 + }, + { + "epoch": 39.43, + "learning_rate": 5.455510947089959e-09, + "loss": 1.44, + "step": 4130 + }, + { + "epoch": 39.44, + "learning_rate": 5.0978870902773645e-09, + "loss": 1.6211, + "step": 4131 + }, + { + "epoch": 39.45, + "learning_rate": 4.752384051398551e-09, + "loss": 1.5061, + "step": 4132 + }, + { + "epoch": 39.46, + "learning_rate": 4.41900203989043e-09, + "loss": 1.9579, + "step": 4133 + }, + { + "epoch": 39.47, + "learning_rate": 4.09774125785356e-09, + "loss": 1.5559, + "step": 4134 + }, + { + "epoch": 39.47, + "learning_rate": 3.788601900029942e-09, + "loss": 1.66, + "step": 4135 + }, + { + "epoch": 39.48, + "learning_rate": 3.4915841538207817e-09, + "loss": 1.8768, + "step": 4136 + }, + { + "epoch": 39.49, + "learning_rate": 3.2066881992753874e-09, + "loss": 1.4144, + "step": 4137 + }, + { + "epoch": 39.5, + "learning_rate": 2.933914209100053e-09, + "loss": 1.3436, + "step": 4138 + }, + { + "epoch": 39.51, + "learning_rate": 2.673262348644734e-09, + "loss": 1.7806, + "step": 4139 + }, + { + "epoch": 39.52, + "learning_rate": 2.424732775916372e-09, + "loss": 1.7769, + "step": 4140 + }, + { + "epoch": 39.53, + "learning_rate": 2.1883256415744515e-09, + "loss": 1.1516, + "step": 4141 + }, + { + "epoch": 39.54, + "learning_rate": 1.9640410889265606e-09, + "loss": 1.7068, + "step": 4142 + }, + { + "epoch": 39.55, + "learning_rate": 1.7518792539328312e-09, + "loss": 1.5924, + "step": 4143 + }, + { + "epoch": 39.56, + "learning_rate": 1.5518402652059394e-09, + "loss": 1.7384, + "step": 4144 + }, + { + "epoch": 39.57, + "learning_rate": 1.3639242440066646e-09, + "loss": 1.7302, + "step": 4145 + }, + { + "epoch": 39.58, + "learning_rate": 1.18813130424833e-09, + "loss": 1.614, + "step": 4146 + }, + { + "epoch": 39.59, + "learning_rate": 1.0244615524990231e-09, + "loss": 1.7238, + "step": 4147 + }, + { + "epoch": 39.6, + "learning_rate": 8.729150879749349e-10, + "loss": 2.3379, + "step": 4148 + }, + { + "epoch": 39.61, + "learning_rate": 7.334920025381387e-10, + "loss": 1.606, + "step": 4149 + }, + { + "epoch": 39.62, + "learning_rate": 6.061923807099135e-10, + "loss": 1.6865, + "step": 4150 + }, + { + "epoch": 39.63, + "learning_rate": 4.910162996574209e-10, + "loss": 1.3075, + "step": 4151 + }, + { + "epoch": 39.64, + "learning_rate": 3.8796382920036623e-10, + "loss": 1.7003, + "step": 4152 + }, + { + "epoch": 39.65, + "learning_rate": 2.9703503180655845e-10, + "loss": 1.4335, + "step": 4153 + }, + { + "epoch": 39.66, + "learning_rate": 2.182299626007911e-10, + "loss": 1.5544, + "step": 4154 + }, + { + "epoch": 39.67, + "learning_rate": 1.5154866935152003e-10, + "loss": 1.5798, + "step": 4155 + }, + { + "epoch": 39.68, + "learning_rate": 9.699119248196553e-11, + "loss": 1.5954, + "step": 4156 + }, + { + "epoch": 39.68, + "learning_rate": 5.455756506345111e-11, + "loss": 1.3487, + "step": 4157 + }, + { + "epoch": 39.69, + "learning_rate": 2.424781281984423e-11, + "loss": 1.4623, + "step": 4158 + }, + { + "epoch": 39.7, + "learning_rate": 6.061954123115499e-12, + "loss": 1.6373, + "step": 4159 + }, + { + "epoch": 39.71, + "learning_rate": 0.0, + "loss": 1.2549, + "step": 4160 + }, + { + "epoch": 39.71, + "step": 4160, + "total_flos": 8.527948732555076e+21, + "train_loss": 1.8305919360512724, + "train_runtime": 14627.9359, + "train_samples_per_second": 4.583, + "train_steps_per_second": 0.284 + } + ], + "logging_steps": 1.0, + "max_steps": 4160, + "num_input_tokens_seen": 0, + "num_train_epochs": 40, + "save_steps": 400, + "total_flos": 8.527948732555076e+21, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}