{ "best_metric": null, "best_model_checkpoint": null, "epoch": 0.9987389659520807, "global_step": 297, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 6e-07, "loss": 4.7618, "step": 1 }, { "epoch": 0.01, "learning_rate": 1.2e-06, "loss": 4.8369, "step": 2 }, { "epoch": 0.01, "learning_rate": 1.8e-06, "loss": 4.9039, "step": 3 }, { "epoch": 0.01, "learning_rate": 2.4e-06, "loss": 4.8342, "step": 4 }, { "epoch": 0.02, "learning_rate": 2.9999999999999997e-06, "loss": 4.7062, "step": 5 }, { "epoch": 0.02, "learning_rate": 2.9999999999999997e-06, "loss": 4.8101, "step": 6 }, { "epoch": 0.02, "learning_rate": 3.6e-06, "loss": 4.7869, "step": 7 }, { "epoch": 0.03, "learning_rate": 4.2e-06, "loss": 4.8273, "step": 8 }, { "epoch": 0.03, "learning_rate": 4.8e-06, "loss": 4.7126, "step": 9 }, { "epoch": 0.03, "learning_rate": 5.399999999999999e-06, "loss": 4.5265, "step": 10 }, { "epoch": 0.04, "learning_rate": 5.999999999999999e-06, "loss": 4.6391, "step": 11 }, { "epoch": 0.04, "learning_rate": 6.599999999999999e-06, "loss": 4.6458, "step": 12 }, { "epoch": 0.04, "learning_rate": 7.2e-06, "loss": 4.5424, "step": 13 }, { "epoch": 0.05, "learning_rate": 7.799999999999998e-06, "loss": 4.4681, "step": 14 }, { "epoch": 0.05, "learning_rate": 8.4e-06, "loss": 4.4776, "step": 15 }, { "epoch": 0.05, "learning_rate": 8.999999999999999e-06, "loss": 4.3842, "step": 16 }, { "epoch": 0.06, "learning_rate": 9.6e-06, "loss": 4.4551, "step": 17 }, { "epoch": 0.06, "learning_rate": 1.02e-05, "loss": 4.464, "step": 18 }, { "epoch": 0.06, "learning_rate": 1.0799999999999998e-05, "loss": 4.4038, "step": 19 }, { "epoch": 0.07, "learning_rate": 1.14e-05, "loss": 4.4641, "step": 20 }, { "epoch": 0.07, "learning_rate": 1.1999999999999999e-05, "loss": 4.4573, "step": 21 }, { "epoch": 0.07, "learning_rate": 1.26e-05, "loss": 4.4293, "step": 22 }, { "epoch": 0.08, "learning_rate": 1.3199999999999997e-05, "loss": 4.3034, "step": 23 }, { "epoch": 0.08, "learning_rate": 1.3799999999999998e-05, "loss": 4.4353, "step": 24 }, { "epoch": 0.08, "learning_rate": 1.44e-05, "loss": 4.2729, "step": 25 }, { "epoch": 0.09, "learning_rate": 1.4999999999999999e-05, "loss": 4.5593, "step": 26 }, { "epoch": 0.09, "learning_rate": 1.5599999999999996e-05, "loss": 4.3209, "step": 27 }, { "epoch": 0.09, "learning_rate": 1.6199999999999997e-05, "loss": 4.28, "step": 28 }, { "epoch": 0.1, "learning_rate": 1.68e-05, "loss": 4.1973, "step": 29 }, { "epoch": 0.1, "learning_rate": 1.74e-05, "loss": 4.3831, "step": 30 }, { "epoch": 0.1, "learning_rate": 1.7999999999999997e-05, "loss": 4.3821, "step": 31 }, { "epoch": 0.11, "learning_rate": 1.8599999999999998e-05, "loss": 4.2869, "step": 32 }, { "epoch": 0.11, "learning_rate": 1.92e-05, "loss": 4.3257, "step": 33 }, { "epoch": 0.11, "learning_rate": 1.98e-05, "loss": 4.2833, "step": 34 }, { "epoch": 0.12, "learning_rate": 2.04e-05, "loss": 4.2935, "step": 35 }, { "epoch": 0.12, "learning_rate": 2.1e-05, "loss": 4.2883, "step": 36 }, { "epoch": 0.12, "learning_rate": 2.1599999999999996e-05, "loss": 4.383, "step": 37 }, { "epoch": 0.13, "learning_rate": 2.2199999999999998e-05, "loss": 4.3507, "step": 38 }, { "epoch": 0.13, "learning_rate": 2.28e-05, "loss": 4.3818, "step": 39 }, { "epoch": 0.13, "learning_rate": 2.34e-05, "loss": 4.2444, "step": 40 }, { "epoch": 0.14, "learning_rate": 2.3999999999999997e-05, "loss": 4.3261, "step": 41 }, { "epoch": 0.14, "learning_rate": 2.4599999999999998e-05, "loss": 4.3685, "step": 42 }, { "epoch": 0.14, "learning_rate": 2.52e-05, "loss": 4.173, "step": 43 }, { "epoch": 0.15, "learning_rate": 2.5799999999999997e-05, "loss": 4.4693, "step": 44 }, { "epoch": 0.15, "learning_rate": 2.6399999999999995e-05, "loss": 4.3993, "step": 45 }, { "epoch": 0.15, "learning_rate": 2.6999999999999996e-05, "loss": 4.4401, "step": 46 }, { "epoch": 0.16, "learning_rate": 2.7599999999999997e-05, "loss": 4.4005, "step": 47 }, { "epoch": 0.16, "learning_rate": 2.8199999999999998e-05, "loss": 4.5188, "step": 48 }, { "epoch": 0.16, "learning_rate": 2.88e-05, "loss": 4.5981, "step": 49 }, { "epoch": 0.17, "learning_rate": 2.94e-05, "loss": 4.33, "step": 50 }, { "epoch": 0.17, "learning_rate": 2.9999999999999997e-05, "loss": 4.2833, "step": 51 }, { "epoch": 0.17, "learning_rate": 3.06e-05, "loss": 4.1861, "step": 52 }, { "epoch": 0.18, "learning_rate": 3.119999999999999e-05, "loss": 4.1606, "step": 53 }, { "epoch": 0.18, "learning_rate": 3.1799999999999994e-05, "loss": 4.1487, "step": 54 }, { "epoch": 0.18, "learning_rate": 3.2399999999999995e-05, "loss": 4.1247, "step": 55 }, { "epoch": 0.19, "learning_rate": 3.2999999999999996e-05, "loss": 4.1405, "step": 56 }, { "epoch": 0.19, "learning_rate": 3.36e-05, "loss": 4.2426, "step": 57 }, { "epoch": 0.2, "learning_rate": 3.42e-05, "loss": 4.2457, "step": 58 }, { "epoch": 0.2, "learning_rate": 3.48e-05, "loss": 4.2196, "step": 59 }, { "epoch": 0.2, "learning_rate": 3.539999999999999e-05, "loss": 4.1715, "step": 60 }, { "epoch": 0.21, "learning_rate": 3.5999999999999994e-05, "loss": 4.2176, "step": 61 }, { "epoch": 0.21, "learning_rate": 3.6599999999999995e-05, "loss": 4.1274, "step": 62 }, { "epoch": 0.21, "learning_rate": 3.7199999999999996e-05, "loss": 4.2297, "step": 63 }, { "epoch": 0.22, "learning_rate": 3.78e-05, "loss": 4.1769, "step": 64 }, { "epoch": 0.22, "learning_rate": 3.84e-05, "loss": 4.2444, "step": 65 }, { "epoch": 0.22, "learning_rate": 3.9e-05, "loss": 4.269, "step": 66 }, { "epoch": 0.23, "learning_rate": 3.96e-05, "loss": 4.2211, "step": 67 }, { "epoch": 0.23, "learning_rate": 4.02e-05, "loss": 4.2461, "step": 68 }, { "epoch": 0.23, "learning_rate": 4.08e-05, "loss": 4.1886, "step": 69 }, { "epoch": 0.24, "learning_rate": 4.14e-05, "loss": 4.1348, "step": 70 }, { "epoch": 0.24, "learning_rate": 4.2e-05, "loss": 4.1446, "step": 71 }, { "epoch": 0.24, "learning_rate": 4.259999999999999e-05, "loss": 4.2637, "step": 72 }, { "epoch": 0.25, "learning_rate": 4.319999999999999e-05, "loss": 4.1766, "step": 73 }, { "epoch": 0.25, "learning_rate": 4.3799999999999994e-05, "loss": 4.1819, "step": 74 }, { "epoch": 0.25, "learning_rate": 4.4399999999999995e-05, "loss": 4.2714, "step": 75 }, { "epoch": 0.26, "learning_rate": 4.4999999999999996e-05, "loss": 4.1555, "step": 76 }, { "epoch": 0.26, "learning_rate": 4.56e-05, "loss": 4.115, "step": 77 }, { "epoch": 0.26, "learning_rate": 4.62e-05, "loss": 4.1782, "step": 78 }, { "epoch": 0.27, "learning_rate": 4.68e-05, "loss": 4.0608, "step": 79 }, { "epoch": 0.27, "learning_rate": 4.7399999999999993e-05, "loss": 4.2616, "step": 80 }, { "epoch": 0.27, "learning_rate": 4.7999999999999994e-05, "loss": 4.1796, "step": 81 }, { "epoch": 0.28, "learning_rate": 4.8599999999999995e-05, "loss": 4.1938, "step": 82 }, { "epoch": 0.28, "learning_rate": 4.9199999999999997e-05, "loss": 4.1566, "step": 83 }, { "epoch": 0.28, "learning_rate": 4.98e-05, "loss": 4.2077, "step": 84 }, { "epoch": 0.29, "learning_rate": 5.04e-05, "loss": 4.2998, "step": 85 }, { "epoch": 0.29, "learning_rate": 5.1e-05, "loss": 4.1818, "step": 86 }, { "epoch": 0.29, "learning_rate": 5.1599999999999994e-05, "loss": 4.2057, "step": 87 }, { "epoch": 0.3, "learning_rate": 5.2199999999999995e-05, "loss": 4.2609, "step": 88 }, { "epoch": 0.3, "learning_rate": 5.279999999999999e-05, "loss": 4.2556, "step": 89 }, { "epoch": 0.3, "learning_rate": 5.339999999999999e-05, "loss": 4.2753, "step": 90 }, { "epoch": 0.31, "learning_rate": 5.399999999999999e-05, "loss": 4.2857, "step": 91 }, { "epoch": 0.31, "learning_rate": 5.459999999999999e-05, "loss": 4.3769, "step": 92 }, { "epoch": 0.31, "learning_rate": 5.519999999999999e-05, "loss": 4.3304, "step": 93 }, { "epoch": 0.32, "learning_rate": 5.5799999999999994e-05, "loss": 4.2605, "step": 94 }, { "epoch": 0.32, "learning_rate": 5.6399999999999995e-05, "loss": 4.22, "step": 95 }, { "epoch": 0.32, "learning_rate": 5.6999999999999996e-05, "loss": 4.3934, "step": 96 }, { "epoch": 0.33, "learning_rate": 5.76e-05, "loss": 4.5994, "step": 97 }, { "epoch": 0.33, "learning_rate": 5.82e-05, "loss": 4.501, "step": 98 }, { "epoch": 0.33, "learning_rate": 5.88e-05, "loss": 4.5049, "step": 99 }, { "epoch": 0.34, "learning_rate": 5.94e-05, "loss": 4.5439, "step": 100 }, { "epoch": 0.34, "learning_rate": 5.9999999999999995e-05, "loss": 4.151, "step": 101 }, { "epoch": 0.34, "learning_rate": 6.0599999999999996e-05, "loss": 4.2256, "step": 102 }, { "epoch": 0.35, "learning_rate": 6.12e-05, "loss": 4.2254, "step": 103 }, { "epoch": 0.35, "learning_rate": 6.18e-05, "loss": 4.1119, "step": 104 }, { "epoch": 0.35, "learning_rate": 6.239999999999999e-05, "loss": 4.2265, "step": 105 }, { "epoch": 0.36, "learning_rate": 6.299999999999999e-05, "loss": 4.1184, "step": 106 }, { "epoch": 0.36, "learning_rate": 6.359999999999999e-05, "loss": 4.0849, "step": 107 }, { "epoch": 0.36, "learning_rate": 6.419999999999999e-05, "loss": 4.1875, "step": 108 }, { "epoch": 0.37, "learning_rate": 6.479999999999999e-05, "loss": 4.2126, "step": 109 }, { "epoch": 0.37, "learning_rate": 6.539999999999999e-05, "loss": 4.1841, "step": 110 }, { "epoch": 0.37, "learning_rate": 6.599999999999999e-05, "loss": 4.2574, "step": 111 }, { "epoch": 0.38, "learning_rate": 6.659999999999999e-05, "loss": 4.1733, "step": 112 }, { "epoch": 0.38, "learning_rate": 6.72e-05, "loss": 4.1252, "step": 113 }, { "epoch": 0.38, "learning_rate": 6.78e-05, "loss": 4.1765, "step": 114 }, { "epoch": 0.39, "learning_rate": 6.84e-05, "loss": 4.1348, "step": 115 }, { "epoch": 0.39, "learning_rate": 6.9e-05, "loss": 4.1559, "step": 116 }, { "epoch": 0.39, "learning_rate": 6.96e-05, "loss": 4.0819, "step": 117 }, { "epoch": 0.4, "learning_rate": 7.02e-05, "loss": 4.1073, "step": 118 }, { "epoch": 0.4, "learning_rate": 7.079999999999999e-05, "loss": 4.1662, "step": 119 }, { "epoch": 0.4, "learning_rate": 7.139999999999999e-05, "loss": 4.1839, "step": 120 }, { "epoch": 0.41, "learning_rate": 7.199999999999999e-05, "loss": 4.1792, "step": 121 }, { "epoch": 0.41, "learning_rate": 7.259999999999999e-05, "loss": 4.2598, "step": 122 }, { "epoch": 0.41, "learning_rate": 7.319999999999999e-05, "loss": 4.1077, "step": 123 }, { "epoch": 0.42, "learning_rate": 7.379999999999999e-05, "loss": 4.2183, "step": 124 }, { "epoch": 0.42, "learning_rate": 7.439999999999999e-05, "loss": 4.2679, "step": 125 }, { "epoch": 0.42, "learning_rate": 7.5e-05, "loss": 4.1706, "step": 126 }, { "epoch": 0.43, "learning_rate": 7.56e-05, "loss": 4.1944, "step": 127 }, { "epoch": 0.43, "learning_rate": 7.62e-05, "loss": 4.1017, "step": 128 }, { "epoch": 0.43, "learning_rate": 7.68e-05, "loss": 4.2433, "step": 129 }, { "epoch": 0.44, "learning_rate": 7.74e-05, "loss": 4.3565, "step": 130 }, { "epoch": 0.44, "learning_rate": 7.8e-05, "loss": 4.2272, "step": 131 }, { "epoch": 0.44, "learning_rate": 7.86e-05, "loss": 4.0888, "step": 132 }, { "epoch": 0.45, "learning_rate": 7.92e-05, "loss": 4.2885, "step": 133 }, { "epoch": 0.45, "learning_rate": 7.98e-05, "loss": 4.1271, "step": 134 }, { "epoch": 0.45, "learning_rate": 8.04e-05, "loss": 4.2945, "step": 135 }, { "epoch": 0.46, "learning_rate": 8.1e-05, "loss": 4.2135, "step": 136 }, { "epoch": 0.46, "learning_rate": 8.16e-05, "loss": 4.1432, "step": 137 }, { "epoch": 0.46, "learning_rate": 8.22e-05, "loss": 4.0684, "step": 138 }, { "epoch": 0.47, "learning_rate": 8.28e-05, "loss": 4.1384, "step": 139 }, { "epoch": 0.47, "learning_rate": 8.34e-05, "loss": 4.1156, "step": 140 }, { "epoch": 0.47, "learning_rate": 8.4e-05, "loss": 4.3396, "step": 141 }, { "epoch": 0.48, "learning_rate": 8.459999999999998e-05, "loss": 4.1454, "step": 142 }, { "epoch": 0.48, "learning_rate": 8.519999999999998e-05, "loss": 4.2154, "step": 143 }, { "epoch": 0.48, "learning_rate": 8.579999999999998e-05, "loss": 4.2913, "step": 144 }, { "epoch": 0.49, "learning_rate": 8.639999999999999e-05, "loss": 4.4081, "step": 145 }, { "epoch": 0.49, "learning_rate": 8.699999999999999e-05, "loss": 4.1594, "step": 146 }, { "epoch": 0.49, "learning_rate": 8.759999999999999e-05, "loss": 4.4372, "step": 147 }, { "epoch": 0.5, "learning_rate": 8.819999999999999e-05, "loss": 4.4614, "step": 148 }, { "epoch": 0.5, "learning_rate": 8.879999999999999e-05, "loss": 4.364, "step": 149 }, { "epoch": 0.5, "learning_rate": 8.939999999999999e-05, "loss": 4.509, "step": 150 }, { "epoch": 0.51, "learning_rate": 8.999999999999999e-05, "loss": 4.3189, "step": 151 }, { "epoch": 0.51, "learning_rate": 9.059999999999999e-05, "loss": 4.2422, "step": 152 }, { "epoch": 0.51, "learning_rate": 9.12e-05, "loss": 4.2332, "step": 153 }, { "epoch": 0.52, "learning_rate": 9.18e-05, "loss": 4.1696, "step": 154 }, { "epoch": 0.52, "learning_rate": 9.24e-05, "loss": 4.1948, "step": 155 }, { "epoch": 0.52, "learning_rate": 9.3e-05, "loss": 4.2067, "step": 156 }, { "epoch": 0.53, "learning_rate": 9.36e-05, "loss": 4.1373, "step": 157 }, { "epoch": 0.53, "learning_rate": 9.419999999999999e-05, "loss": 4.1534, "step": 158 }, { "epoch": 0.53, "learning_rate": 9.479999999999999e-05, "loss": 4.2066, "step": 159 }, { "epoch": 0.54, "learning_rate": 9.539999999999999e-05, "loss": 4.1735, "step": 160 }, { "epoch": 0.54, "learning_rate": 9.599999999999999e-05, "loss": 4.1721, "step": 161 }, { "epoch": 0.54, "learning_rate": 9.659999999999999e-05, "loss": 4.1015, "step": 162 }, { "epoch": 0.55, "learning_rate": 9.719999999999999e-05, "loss": 4.2207, "step": 163 }, { "epoch": 0.55, "learning_rate": 9.779999999999999e-05, "loss": 4.121, "step": 164 }, { "epoch": 0.55, "learning_rate": 9.839999999999999e-05, "loss": 4.2027, "step": 165 }, { "epoch": 0.56, "learning_rate": 9.9e-05, "loss": 4.1739, "step": 166 }, { "epoch": 0.56, "learning_rate": 9.96e-05, "loss": 4.137, "step": 167 }, { "epoch": 0.56, "learning_rate": 0.0001002, "loss": 4.1687, "step": 168 }, { "epoch": 0.57, "learning_rate": 0.0001008, "loss": 4.2167, "step": 169 }, { "epoch": 0.57, "learning_rate": 0.0001014, "loss": 4.109, "step": 170 }, { "epoch": 0.58, "learning_rate": 0.000102, "loss": 4.1, "step": 171 }, { "epoch": 0.58, "learning_rate": 0.0001026, "loss": 4.1818, "step": 172 }, { "epoch": 0.58, "learning_rate": 0.00010319999999999999, "loss": 4.078, "step": 173 }, { "epoch": 0.59, "learning_rate": 0.00010379999999999999, "loss": 4.1348, "step": 174 }, { "epoch": 0.59, "learning_rate": 0.00010439999999999999, "loss": 4.2973, "step": 175 }, { "epoch": 0.59, "learning_rate": 0.00010499999999999999, "loss": 4.131, "step": 176 }, { "epoch": 0.6, "learning_rate": 0.00010559999999999998, "loss": 4.24, "step": 177 }, { "epoch": 0.6, "learning_rate": 0.00010619999999999998, "loss": 4.1048, "step": 178 }, { "epoch": 0.6, "learning_rate": 0.00010679999999999998, "loss": 4.0966, "step": 179 }, { "epoch": 0.61, "learning_rate": 0.00010739999999999998, "loss": 4.3612, "step": 180 }, { "epoch": 0.61, "learning_rate": 0.00010799999999999998, "loss": 4.1656, "step": 181 }, { "epoch": 0.61, "learning_rate": 0.00010859999999999998, "loss": 4.0714, "step": 182 }, { "epoch": 0.62, "learning_rate": 0.00010919999999999998, "loss": 4.1186, "step": 183 }, { "epoch": 0.62, "learning_rate": 0.00010979999999999999, "loss": 4.196, "step": 184 }, { "epoch": 0.62, "learning_rate": 0.00011039999999999999, "loss": 4.2281, "step": 185 }, { "epoch": 0.63, "learning_rate": 0.00011099999999999999, "loss": 4.148, "step": 186 }, { "epoch": 0.63, "learning_rate": 0.00011159999999999999, "loss": 4.1811, "step": 187 }, { "epoch": 0.63, "learning_rate": 0.00011219999999999999, "loss": 4.1562, "step": 188 }, { "epoch": 0.64, "learning_rate": 0.00011279999999999999, "loss": 4.1377, "step": 189 }, { "epoch": 0.64, "learning_rate": 0.00011339999999999999, "loss": 4.2104, "step": 190 }, { "epoch": 0.64, "learning_rate": 0.00011399999999999999, "loss": 4.3507, "step": 191 }, { "epoch": 0.65, "learning_rate": 0.0001146, "loss": 4.3164, "step": 192 }, { "epoch": 0.65, "learning_rate": 0.0001152, "loss": 4.3561, "step": 193 }, { "epoch": 0.65, "learning_rate": 0.0001158, "loss": 4.3035, "step": 194 }, { "epoch": 0.66, "learning_rate": 0.0001164, "loss": 4.2593, "step": 195 }, { "epoch": 0.66, "learning_rate": 0.000117, "loss": 4.2925, "step": 196 }, { "epoch": 0.66, "learning_rate": 0.0001176, "loss": 4.1292, "step": 197 }, { "epoch": 0.67, "learning_rate": 0.0001182, "loss": 4.6228, "step": 198 }, { "epoch": 0.67, "learning_rate": 0.0001188, "loss": 4.3744, "step": 199 }, { "epoch": 0.67, "learning_rate": 0.0001194, "loss": 4.5764, "step": 200 }, { "epoch": 0.68, "learning_rate": 0.00011999999999999999, "loss": 4.2862, "step": 201 }, { "epoch": 0.68, "learning_rate": 0.00012059999999999999, "loss": 4.2762, "step": 202 }, { "epoch": 0.68, "learning_rate": 0.00012119999999999999, "loss": 4.1847, "step": 203 }, { "epoch": 0.69, "learning_rate": 0.00012179999999999999, "loss": 4.1506, "step": 204 }, { "epoch": 0.69, "learning_rate": 0.0001224, "loss": 4.1855, "step": 205 }, { "epoch": 0.69, "learning_rate": 0.00012299999999999998, "loss": 4.143, "step": 206 }, { "epoch": 0.7, "learning_rate": 0.0001236, "loss": 4.2922, "step": 207 }, { "epoch": 0.7, "learning_rate": 0.00012419999999999998, "loss": 4.1974, "step": 208 }, { "epoch": 0.7, "learning_rate": 0.00012479999999999997, "loss": 4.1757, "step": 209 }, { "epoch": 0.71, "learning_rate": 0.00012539999999999999, "loss": 4.2773, "step": 210 }, { "epoch": 0.71, "learning_rate": 0.00012599999999999997, "loss": 4.0609, "step": 211 }, { "epoch": 0.71, "learning_rate": 0.0001266, "loss": 4.1788, "step": 212 }, { "epoch": 0.72, "learning_rate": 0.00012719999999999997, "loss": 4.3651, "step": 213 }, { "epoch": 0.72, "learning_rate": 0.0001278, "loss": 4.1737, "step": 214 }, { "epoch": 0.72, "learning_rate": 0.00012839999999999998, "loss": 4.2565, "step": 215 }, { "epoch": 0.73, "learning_rate": 0.000129, "loss": 4.1837, "step": 216 }, { "epoch": 0.73, "learning_rate": 0.00012959999999999998, "loss": 4.178, "step": 217 }, { "epoch": 0.73, "learning_rate": 0.0001302, "loss": 4.0968, "step": 218 }, { "epoch": 0.74, "learning_rate": 0.00013079999999999998, "loss": 4.1217, "step": 219 }, { "epoch": 0.74, "learning_rate": 0.0001314, "loss": 4.22, "step": 220 }, { "epoch": 0.74, "learning_rate": 0.00013199999999999998, "loss": 4.1422, "step": 221 }, { "epoch": 0.75, "learning_rate": 0.0001326, "loss": 4.0738, "step": 222 }, { "epoch": 0.75, "learning_rate": 0.00013319999999999999, "loss": 4.1446, "step": 223 }, { "epoch": 0.75, "learning_rate": 0.0001338, "loss": 4.1761, "step": 224 }, { "epoch": 0.76, "learning_rate": 0.0001344, "loss": 4.1628, "step": 225 }, { "epoch": 0.76, "learning_rate": 0.000135, "loss": 4.2661, "step": 226 }, { "epoch": 0.76, "learning_rate": 0.0001356, "loss": 4.1528, "step": 227 }, { "epoch": 0.77, "learning_rate": 0.0001362, "loss": 4.099, "step": 228 }, { "epoch": 0.77, "learning_rate": 0.0001368, "loss": 4.1245, "step": 229 }, { "epoch": 0.77, "learning_rate": 0.0001374, "loss": 4.1312, "step": 230 }, { "epoch": 0.78, "learning_rate": 0.000138, "loss": 4.3371, "step": 231 }, { "epoch": 0.78, "learning_rate": 0.0001386, "loss": 4.2686, "step": 232 }, { "epoch": 0.78, "learning_rate": 0.0001392, "loss": 4.2302, "step": 233 }, { "epoch": 0.79, "learning_rate": 0.00013979999999999998, "loss": 4.2847, "step": 234 }, { "epoch": 0.79, "learning_rate": 0.0001404, "loss": 4.2916, "step": 235 }, { "epoch": 0.79, "learning_rate": 0.00014099999999999998, "loss": 4.131, "step": 236 }, { "epoch": 0.8, "learning_rate": 0.00014159999999999997, "loss": 4.1995, "step": 237 }, { "epoch": 0.8, "learning_rate": 0.0001422, "loss": 4.3171, "step": 238 }, { "epoch": 0.8, "learning_rate": 0.00014279999999999997, "loss": 4.1429, "step": 239 }, { "epoch": 0.81, "learning_rate": 0.0001434, "loss": 4.2302, "step": 240 }, { "epoch": 0.81, "learning_rate": 0.00014399999999999998, "loss": 4.3246, "step": 241 }, { "epoch": 0.81, "learning_rate": 0.0001446, "loss": 4.3286, "step": 242 }, { "epoch": 0.82, "learning_rate": 0.00014519999999999998, "loss": 4.1907, "step": 243 }, { "epoch": 0.82, "learning_rate": 0.0001458, "loss": 4.224, "step": 244 }, { "epoch": 0.82, "learning_rate": 0.00014639999999999998, "loss": 4.2403, "step": 245 }, { "epoch": 0.83, "learning_rate": 0.000147, "loss": 4.3453, "step": 246 }, { "epoch": 0.83, "learning_rate": 0.00014759999999999998, "loss": 4.3658, "step": 247 }, { "epoch": 0.83, "learning_rate": 0.0001482, "loss": 4.2811, "step": 248 }, { "epoch": 0.84, "learning_rate": 0.00014879999999999998, "loss": 4.411, "step": 249 }, { "epoch": 0.84, "learning_rate": 0.0001494, "loss": 4.2885, "step": 250 }, { "epoch": 0.84, "learning_rate": 0.00015, "loss": 4.3184, "step": 251 }, { "epoch": 0.85, "learning_rate": 0.00015059999999999997, "loss": 4.227, "step": 252 }, { "epoch": 0.85, "learning_rate": 0.0001512, "loss": 4.1634, "step": 253 }, { "epoch": 0.85, "learning_rate": 0.00015179999999999998, "loss": 4.1924, "step": 254 }, { "epoch": 0.86, "learning_rate": 0.0001524, "loss": 4.1476, "step": 255 }, { "epoch": 0.86, "learning_rate": 0.00015299999999999998, "loss": 4.1701, "step": 256 }, { "epoch": 0.86, "learning_rate": 0.0001536, "loss": 4.3748, "step": 257 }, { "epoch": 0.87, "learning_rate": 0.00015419999999999998, "loss": 4.1509, "step": 258 }, { "epoch": 0.87, "learning_rate": 0.0001548, "loss": 4.164, "step": 259 }, { "epoch": 0.87, "learning_rate": 0.00015539999999999998, "loss": 4.1074, "step": 260 }, { "epoch": 0.88, "learning_rate": 0.000156, "loss": 4.2334, "step": 261 }, { "epoch": 0.88, "learning_rate": 0.00015659999999999998, "loss": 4.2673, "step": 262 }, { "epoch": 0.88, "learning_rate": 0.0001572, "loss": 4.1299, "step": 263 }, { "epoch": 0.89, "learning_rate": 0.0001578, "loss": 4.1901, "step": 264 }, { "epoch": 0.89, "learning_rate": 0.0001584, "loss": 4.1528, "step": 265 }, { "epoch": 0.89, "learning_rate": 0.000159, "loss": 4.3665, "step": 266 }, { "epoch": 0.9, "learning_rate": 0.0001596, "loss": 4.175, "step": 267 }, { "epoch": 0.9, "learning_rate": 0.0001602, "loss": 4.2186, "step": 268 }, { "epoch": 0.9, "learning_rate": 0.0001608, "loss": 4.0586, "step": 269 }, { "epoch": 0.91, "learning_rate": 0.0001614, "loss": 4.2644, "step": 270 }, { "epoch": 0.91, "learning_rate": 0.000162, "loss": 4.1701, "step": 271 }, { "epoch": 0.91, "learning_rate": 0.0001626, "loss": 4.0608, "step": 272 }, { "epoch": 0.92, "learning_rate": 0.0001632, "loss": 4.1655, "step": 273 }, { "epoch": 0.92, "learning_rate": 0.0001638, "loss": 4.1351, "step": 274 }, { "epoch": 0.92, "learning_rate": 0.0001644, "loss": 4.2868, "step": 275 }, { "epoch": 0.93, "learning_rate": 0.000165, "loss": 4.2033, "step": 276 }, { "epoch": 0.93, "learning_rate": 0.0001656, "loss": 4.1803, "step": 277 }, { "epoch": 0.93, "learning_rate": 0.0001662, "loss": 4.1039, "step": 278 }, { "epoch": 0.94, "learning_rate": 0.0001668, "loss": 4.1866, "step": 279 }, { "epoch": 0.94, "learning_rate": 0.0001674, "loss": 4.0807, "step": 280 }, { "epoch": 0.94, "learning_rate": 0.000168, "loss": 4.2522, "step": 281 }, { "epoch": 0.95, "learning_rate": 0.0001686, "loss": 4.116, "step": 282 }, { "epoch": 0.95, "learning_rate": 0.00016919999999999997, "loss": 4.3943, "step": 283 }, { "epoch": 0.96, "learning_rate": 0.00016979999999999998, "loss": 4.1157, "step": 284 }, { "epoch": 0.96, "learning_rate": 0.00017039999999999997, "loss": 4.2309, "step": 285 }, { "epoch": 0.96, "learning_rate": 0.00017099999999999998, "loss": 4.2554, "step": 286 }, { "epoch": 0.97, "learning_rate": 0.00017159999999999997, "loss": 4.2046, "step": 287 }, { "epoch": 0.97, "learning_rate": 0.00017219999999999998, "loss": 4.1851, "step": 288 }, { "epoch": 0.97, "learning_rate": 0.00017279999999999997, "loss": 4.2101, "step": 289 }, { "epoch": 0.98, "learning_rate": 0.00017339999999999996, "loss": 4.2161, "step": 290 }, { "epoch": 0.98, "learning_rate": 0.00017399999999999997, "loss": 4.7758, "step": 291 }, { "epoch": 0.98, "learning_rate": 0.00017459999999999996, "loss": 4.3671, "step": 292 }, { "epoch": 0.99, "learning_rate": 0.00017519999999999998, "loss": 4.2551, "step": 293 }, { "epoch": 0.99, "learning_rate": 0.00017579999999999996, "loss": 4.7932, "step": 294 }, { "epoch": 0.99, "learning_rate": 0.00017639999999999998, "loss": 4.3071, "step": 295 }, { "epoch": 1.0, "learning_rate": 0.00017699999999999997, "loss": 4.9658, "step": 296 }, { "epoch": 1.0, "learning_rate": 0.00017759999999999998, "loss": 4.5744, "step": 297 }, { "epoch": 1.0, "step": 297, "total_flos": 0.0, "train_loss": 4.267116984935722, "train_runtime": 4548.8356, "train_samples_per_second": 6.274, "train_steps_per_second": 0.065 } ], "max_steps": 297, "num_train_epochs": 1, "total_flos": 0.0, "trial_name": null, "trial_params": null }