{ "best_metric": null, "best_model_checkpoint": null, "epoch": 1.0167064439140812, "eval_steps": 42, "global_step": 426, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 0.00065, "loss": 1.5523, "step": 1 }, { "epoch": 0.0, "eval_loss": 1.5476094484329224, "eval_runtime": 57.6973, "eval_samples_per_second": 8.666, "eval_steps_per_second": 4.333, "step": 1 }, { "epoch": 0.0, "learning_rate": 0.00065, "loss": 1.6985, "step": 2 }, { "epoch": 0.01, "learning_rate": 0.00065, "loss": 1.1799, "step": 3 }, { "epoch": 0.01, "learning_rate": 0.00065, "loss": 1.7743, "step": 4 }, { "epoch": 0.01, "learning_rate": 0.00065, "loss": 1.6175, "step": 5 }, { "epoch": 0.01, "learning_rate": 0.00065, "loss": 1.5657, "step": 6 }, { "epoch": 0.02, "learning_rate": 0.00065, "loss": 1.4462, "step": 7 }, { "epoch": 0.02, "learning_rate": 0.00065, "loss": 1.4567, "step": 8 }, { "epoch": 0.02, "learning_rate": 0.00065, "loss": 1.734, "step": 9 }, { "epoch": 0.02, "learning_rate": 0.00065, "loss": 1.4707, "step": 10 }, { "epoch": 0.03, "learning_rate": 0.00065, "loss": 1.5891, "step": 11 }, { "epoch": 0.03, "learning_rate": 0.00065, "loss": 1.4921, "step": 12 }, { "epoch": 0.03, "learning_rate": 0.00065, "loss": 1.5806, "step": 13 }, { "epoch": 0.03, "learning_rate": 0.00065, "loss": 1.4224, "step": 14 }, { "epoch": 0.04, "learning_rate": 0.00065, "loss": 1.4779, "step": 15 }, { "epoch": 0.04, "learning_rate": 0.00065, "loss": 1.5828, "step": 16 }, { "epoch": 0.04, "learning_rate": 0.00065, "loss": 1.4379, "step": 17 }, { "epoch": 0.04, "learning_rate": 0.00065, "loss": 1.5227, "step": 18 }, { "epoch": 0.05, "learning_rate": 0.00065, "loss": 1.3899, "step": 19 }, { "epoch": 0.05, "learning_rate": 0.00065, "loss": 1.3557, "step": 20 }, { "epoch": 0.05, "learning_rate": 0.00065, "loss": 1.5049, "step": 21 }, { "epoch": 0.05, "learning_rate": 0.00065, "loss": 1.5334, "step": 22 }, { "epoch": 0.05, "learning_rate": 0.00065, "loss": 1.1747, "step": 23 }, { "epoch": 0.06, "learning_rate": 0.00065, "loss": 1.5094, "step": 24 }, { "epoch": 0.06, "learning_rate": 0.00065, "loss": 1.4909, "step": 25 }, { "epoch": 0.06, "learning_rate": 0.00065, "loss": 1.521, "step": 26 }, { "epoch": 0.06, "learning_rate": 0.00065, "loss": 1.5296, "step": 27 }, { "epoch": 0.07, "learning_rate": 0.00065, "loss": 1.5475, "step": 28 }, { "epoch": 0.07, "learning_rate": 0.00065, "loss": 1.5203, "step": 29 }, { "epoch": 0.07, "learning_rate": 0.00065, "loss": 1.4874, "step": 30 }, { "epoch": 0.07, "learning_rate": 0.00065, "loss": 1.6169, "step": 31 }, { "epoch": 0.08, "learning_rate": 0.00065, "loss": 1.5158, "step": 32 }, { "epoch": 0.08, "learning_rate": 0.00065, "loss": 1.5844, "step": 33 }, { "epoch": 0.08, "learning_rate": 0.00065, "loss": 1.4701, "step": 34 }, { "epoch": 0.08, "learning_rate": 0.00065, "loss": 1.3729, "step": 35 }, { "epoch": 0.09, "learning_rate": 0.00065, "loss": 1.5067, "step": 36 }, { "epoch": 0.09, "learning_rate": 0.00065, "loss": 1.4972, "step": 37 }, { "epoch": 0.09, "learning_rate": 0.00065, "loss": 1.8079, "step": 38 }, { "epoch": 0.09, "learning_rate": 0.00065, "loss": 1.5681, "step": 39 }, { "epoch": 0.1, "learning_rate": 0.00065, "loss": 1.4852, "step": 40 }, { "epoch": 0.1, "learning_rate": 0.00065, "loss": 1.5448, "step": 41 }, { "epoch": 0.1, "learning_rate": 0.00065, "loss": 1.2139, "step": 42 }, { "epoch": 0.1, "eval_loss": 1.500810146331787, "eval_runtime": 57.801, "eval_samples_per_second": 8.65, "eval_steps_per_second": 4.325, "step": 42 }, { "epoch": 0.1, "learning_rate": 0.00065, "loss": 1.4483, "step": 43 }, { "epoch": 0.11, "learning_rate": 0.00065, "loss": 1.3328, "step": 44 }, { "epoch": 0.11, "learning_rate": 0.00065, "loss": 1.4363, "step": 45 }, { "epoch": 0.11, "learning_rate": 0.00065, "loss": 1.2864, "step": 46 }, { "epoch": 0.11, "learning_rate": 0.00065, "loss": 1.4731, "step": 47 }, { "epoch": 0.11, "learning_rate": 0.00065, "loss": 1.5103, "step": 48 }, { "epoch": 0.12, "learning_rate": 0.00065, "loss": 1.5552, "step": 49 }, { "epoch": 0.12, "learning_rate": 0.00065, "loss": 1.4697, "step": 50 }, { "epoch": 0.12, "learning_rate": 0.00065, "loss": 1.5153, "step": 51 }, { "epoch": 0.12, "learning_rate": 0.00065, "loss": 1.4696, "step": 52 }, { "epoch": 0.13, "learning_rate": 0.00065, "loss": 1.4874, "step": 53 }, { "epoch": 0.13, "learning_rate": 0.00065, "loss": 1.6397, "step": 54 }, { "epoch": 0.13, "learning_rate": 0.00065, "loss": 1.5159, "step": 55 }, { "epoch": 0.13, "learning_rate": 0.00065, "loss": 1.5399, "step": 56 }, { "epoch": 0.14, "learning_rate": 0.00065, "loss": 1.573, "step": 57 }, { "epoch": 0.14, "learning_rate": 0.00065, "loss": 1.5067, "step": 58 }, { "epoch": 0.14, "learning_rate": 0.00065, "loss": 1.5585, "step": 59 }, { "epoch": 0.14, "learning_rate": 0.00065, "loss": 1.4998, "step": 60 }, { "epoch": 0.15, "learning_rate": 0.00065, "loss": 1.0471, "step": 61 }, { "epoch": 0.15, "learning_rate": 0.00065, "loss": 1.5023, "step": 62 }, { "epoch": 0.15, "learning_rate": 0.00065, "loss": 1.241, "step": 63 }, { "epoch": 0.15, "learning_rate": 0.00065, "loss": 1.2748, "step": 64 }, { "epoch": 0.16, "learning_rate": 0.00065, "loss": 1.598, "step": 65 }, { "epoch": 0.16, "learning_rate": 0.00065, "loss": 1.7209, "step": 66 }, { "epoch": 0.16, "learning_rate": 0.00065, "loss": 1.4492, "step": 67 }, { "epoch": 0.16, "learning_rate": 0.00065, "loss": 1.6432, "step": 68 }, { "epoch": 0.16, "learning_rate": 0.00065, "loss": 1.4849, "step": 69 }, { "epoch": 0.17, "learning_rate": 0.00065, "loss": 1.3859, "step": 70 }, { "epoch": 0.17, "learning_rate": 0.00065, "loss": 1.2329, "step": 71 }, { "epoch": 0.17, "learning_rate": 0.00065, "loss": 1.4836, "step": 72 }, { "epoch": 0.17, "learning_rate": 0.00065, "loss": 1.5757, "step": 73 }, { "epoch": 0.18, "learning_rate": 0.00065, "loss": 1.4403, "step": 74 }, { "epoch": 0.18, "learning_rate": 0.00065, "loss": 1.4311, "step": 75 }, { "epoch": 0.18, "learning_rate": 0.00065, "loss": 1.7698, "step": 76 }, { "epoch": 0.18, "learning_rate": 0.00065, "loss": 1.4067, "step": 77 }, { "epoch": 0.19, "learning_rate": 0.00065, "loss": 1.3548, "step": 78 }, { "epoch": 0.19, "learning_rate": 0.00065, "loss": 1.2219, "step": 79 }, { "epoch": 0.19, "learning_rate": 0.00065, "loss": 1.2774, "step": 80 }, { "epoch": 0.19, "learning_rate": 0.00065, "loss": 1.5268, "step": 81 }, { "epoch": 0.2, "learning_rate": 0.00065, "loss": 1.6669, "step": 82 }, { "epoch": 0.2, "learning_rate": 0.00065, "loss": 1.4055, "step": 83 }, { "epoch": 0.2, "learning_rate": 0.00065, "loss": 1.6348, "step": 84 }, { "epoch": 0.2, "eval_loss": 1.4967617988586426, "eval_runtime": 57.7521, "eval_samples_per_second": 8.658, "eval_steps_per_second": 4.329, "step": 84 }, { "epoch": 0.2, "learning_rate": 0.00065, "loss": 1.4524, "step": 85 }, { "epoch": 0.21, "learning_rate": 0.00065, "loss": 1.7781, "step": 86 }, { "epoch": 0.21, "learning_rate": 0.00065, "loss": 1.4317, "step": 87 }, { "epoch": 0.21, "learning_rate": 0.00065, "loss": 1.5865, "step": 88 }, { "epoch": 0.21, "learning_rate": 0.00065, "loss": 1.465, "step": 89 }, { "epoch": 0.21, "learning_rate": 0.00065, "loss": 1.5601, "step": 90 }, { "epoch": 0.22, "learning_rate": 0.00065, "loss": 1.4393, "step": 91 }, { "epoch": 0.22, "learning_rate": 0.00065, "loss": 1.5499, "step": 92 }, { "epoch": 0.22, "learning_rate": 0.00065, "loss": 1.5289, "step": 93 }, { "epoch": 0.22, "learning_rate": 0.00065, "loss": 1.6562, "step": 94 }, { "epoch": 0.23, "learning_rate": 0.00065, "loss": 1.6702, "step": 95 }, { "epoch": 0.23, "learning_rate": 0.00065, "loss": 1.4044, "step": 96 }, { "epoch": 0.23, "learning_rate": 0.00065, "loss": 1.5733, "step": 97 }, { "epoch": 0.23, "learning_rate": 0.00065, "loss": 1.494, "step": 98 }, { "epoch": 0.24, "learning_rate": 0.00065, "loss": 1.5325, "step": 99 }, { "epoch": 0.24, "learning_rate": 0.00065, "loss": 1.5481, "step": 100 }, { "epoch": 0.24, "learning_rate": 0.00065, "loss": 1.5022, "step": 101 }, { "epoch": 0.24, "learning_rate": 0.00065, "loss": 1.5334, "step": 102 }, { "epoch": 0.25, "learning_rate": 0.00065, "loss": 1.4816, "step": 103 }, { "epoch": 0.25, "learning_rate": 0.00065, "loss": 1.5505, "step": 104 }, { "epoch": 0.25, "learning_rate": 0.00065, "loss": 1.5887, "step": 105 }, { "epoch": 0.25, "learning_rate": 0.00065, "loss": 1.6073, "step": 106 }, { "epoch": 0.26, "learning_rate": 0.00065, "loss": 1.2843, "step": 107 }, { "epoch": 0.26, "learning_rate": 0.00065, "loss": 1.6441, "step": 108 }, { "epoch": 0.26, "learning_rate": 0.00065, "loss": 1.4291, "step": 109 }, { "epoch": 0.26, "learning_rate": 0.00065, "loss": 1.5993, "step": 110 }, { "epoch": 0.26, "learning_rate": 0.00065, "loss": 1.6003, "step": 111 }, { "epoch": 0.27, "learning_rate": 0.00065, "loss": 1.6004, "step": 112 }, { "epoch": 0.27, "learning_rate": 0.00065, "loss": 1.092, "step": 113 }, { "epoch": 0.27, "learning_rate": 0.00065, "loss": 1.6992, "step": 114 }, { "epoch": 0.27, "learning_rate": 0.00065, "loss": 1.5215, "step": 115 }, { "epoch": 0.28, "learning_rate": 0.00065, "loss": 1.6719, "step": 116 }, { "epoch": 0.28, "learning_rate": 0.00065, "loss": 1.5689, "step": 117 }, { "epoch": 0.28, "learning_rate": 0.00065, "loss": 1.5856, "step": 118 }, { "epoch": 0.28, "learning_rate": 0.00065, "loss": 1.5404, "step": 119 }, { "epoch": 0.29, "learning_rate": 0.00065, "loss": 1.2784, "step": 120 }, { "epoch": 0.29, "learning_rate": 0.00065, "loss": 1.7063, "step": 121 }, { "epoch": 0.29, "learning_rate": 0.00065, "loss": 1.518, "step": 122 }, { "epoch": 0.29, "learning_rate": 0.00065, "loss": 1.6195, "step": 123 }, { "epoch": 0.3, "learning_rate": 0.00065, "loss": 1.4, "step": 124 }, { "epoch": 0.3, "learning_rate": 0.00065, "loss": 1.5435, "step": 125 }, { "epoch": 0.3, "learning_rate": 0.00065, "loss": 1.6498, "step": 126 }, { "epoch": 0.3, "eval_loss": 1.4962397813796997, "eval_runtime": 57.8837, "eval_samples_per_second": 8.638, "eval_steps_per_second": 4.319, "step": 126 }, { "epoch": 0.3, "learning_rate": 0.00065, "loss": 1.4815, "step": 127 }, { "epoch": 0.31, "learning_rate": 0.00065, "loss": 1.5617, "step": 128 }, { "epoch": 0.31, "learning_rate": 0.00065, "loss": 1.6173, "step": 129 }, { "epoch": 0.31, "learning_rate": 0.00065, "loss": 1.6515, "step": 130 }, { "epoch": 0.31, "learning_rate": 0.00065, "loss": 1.7001, "step": 131 }, { "epoch": 0.32, "learning_rate": 0.00065, "loss": 1.7185, "step": 132 }, { "epoch": 0.32, "learning_rate": 0.00065, "loss": 1.5095, "step": 133 }, { "epoch": 0.32, "learning_rate": 0.00065, "loss": 1.5354, "step": 134 }, { "epoch": 0.32, "learning_rate": 0.00065, "loss": 1.5958, "step": 135 }, { "epoch": 0.32, "learning_rate": 0.00065, "loss": 1.5622, "step": 136 }, { "epoch": 0.33, "learning_rate": 0.00065, "loss": 1.5229, "step": 137 }, { "epoch": 0.33, "learning_rate": 0.00065, "loss": 1.5117, "step": 138 }, { "epoch": 0.33, "learning_rate": 0.00065, "loss": 1.7616, "step": 139 }, { "epoch": 0.33, "learning_rate": 0.00065, "loss": 1.2281, "step": 140 }, { "epoch": 0.34, "learning_rate": 0.00065, "loss": 1.6234, "step": 141 }, { "epoch": 0.34, "learning_rate": 0.00065, "loss": 1.3816, "step": 142 }, { "epoch": 0.34, "learning_rate": 0.00065, "loss": 1.474, "step": 143 }, { "epoch": 0.34, "learning_rate": 0.00065, "loss": 1.4441, "step": 144 }, { "epoch": 0.35, "learning_rate": 0.00065, "loss": 1.602, "step": 145 }, { "epoch": 0.35, "learning_rate": 0.00065, "loss": 1.543, "step": 146 }, { "epoch": 0.35, "learning_rate": 0.00065, "loss": 1.7464, "step": 147 }, { "epoch": 0.35, "learning_rate": 0.00065, "loss": 1.696, "step": 148 }, { "epoch": 0.36, "learning_rate": 0.00065, "loss": 1.6781, "step": 149 }, { "epoch": 0.36, "learning_rate": 0.00065, "loss": 1.4346, "step": 150 }, { "epoch": 0.36, "learning_rate": 0.00065, "loss": 1.5507, "step": 151 }, { "epoch": 0.36, "learning_rate": 0.00065, "loss": 1.5901, "step": 152 }, { "epoch": 0.37, "learning_rate": 0.00065, "loss": 1.4516, "step": 153 }, { "epoch": 0.37, "learning_rate": 0.00065, "loss": 1.4069, "step": 154 }, { "epoch": 0.37, "learning_rate": 0.00065, "loss": 1.5614, "step": 155 }, { "epoch": 0.37, "learning_rate": 0.00065, "loss": 1.4832, "step": 156 }, { "epoch": 0.37, "learning_rate": 0.00065, "loss": 1.4241, "step": 157 }, { "epoch": 0.38, "learning_rate": 0.00065, "loss": 1.4526, "step": 158 }, { "epoch": 0.38, "learning_rate": 0.00065, "loss": 1.1961, "step": 159 }, { "epoch": 0.38, "learning_rate": 0.00065, "loss": 1.4206, "step": 160 }, { "epoch": 0.38, "learning_rate": 0.00065, "loss": 1.6221, "step": 161 }, { "epoch": 0.39, "learning_rate": 0.00065, "loss": 1.5796, "step": 162 }, { "epoch": 0.39, "learning_rate": 0.00065, "loss": 1.7052, "step": 163 }, { "epoch": 0.39, "learning_rate": 0.00065, "loss": 1.6022, "step": 164 }, { "epoch": 0.39, "learning_rate": 0.00065, "loss": 1.4067, "step": 165 }, { "epoch": 0.4, "learning_rate": 0.00065, "loss": 1.4105, "step": 166 }, { "epoch": 0.4, "learning_rate": 0.00065, "loss": 1.3916, "step": 167 }, { "epoch": 0.4, "learning_rate": 0.00065, "loss": 1.5645, "step": 168 }, { "epoch": 0.4, "eval_loss": 1.498284101486206, "eval_runtime": 57.7262, "eval_samples_per_second": 8.662, "eval_steps_per_second": 4.331, "step": 168 }, { "epoch": 0.4, "learning_rate": 0.00065, "loss": 1.5244, "step": 169 }, { "epoch": 0.41, "learning_rate": 0.00065, "loss": 1.3781, "step": 170 }, { "epoch": 0.41, "learning_rate": 0.00065, "loss": 1.6621, "step": 171 }, { "epoch": 0.41, "learning_rate": 0.00065, "loss": 1.6337, "step": 172 }, { "epoch": 0.41, "learning_rate": 0.00065, "loss": 1.5208, "step": 173 }, { "epoch": 0.42, "learning_rate": 0.00065, "loss": 1.2743, "step": 174 }, { "epoch": 0.42, "learning_rate": 0.00065, "loss": 1.6341, "step": 175 }, { "epoch": 0.42, "learning_rate": 0.00065, "loss": 1.2578, "step": 176 }, { "epoch": 0.42, "learning_rate": 0.00065, "loss": 1.6975, "step": 177 }, { "epoch": 0.42, "learning_rate": 0.00065, "loss": 1.5663, "step": 178 }, { "epoch": 0.43, "learning_rate": 0.00065, "loss": 1.5621, "step": 179 }, { "epoch": 0.43, "learning_rate": 0.00065, "loss": 1.3063, "step": 180 }, { "epoch": 0.43, "learning_rate": 0.00065, "loss": 1.4776, "step": 181 }, { "epoch": 0.43, "learning_rate": 0.00065, "loss": 1.7046, "step": 182 }, { "epoch": 0.44, "learning_rate": 0.00065, "loss": 1.5946, "step": 183 }, { "epoch": 0.44, "learning_rate": 0.00065, "loss": 1.779, "step": 184 }, { "epoch": 0.44, "learning_rate": 0.00065, "loss": 1.571, "step": 185 }, { "epoch": 0.44, "learning_rate": 0.00065, "loss": 1.5513, "step": 186 }, { "epoch": 0.45, "learning_rate": 0.00065, "loss": 1.4312, "step": 187 }, { "epoch": 0.45, "learning_rate": 0.00065, "loss": 1.4258, "step": 188 }, { "epoch": 0.45, "learning_rate": 0.00065, "loss": 1.5412, "step": 189 }, { "epoch": 0.45, "learning_rate": 0.00065, "loss": 1.6545, "step": 190 }, { "epoch": 0.46, "learning_rate": 0.00065, "loss": 1.5313, "step": 191 }, { "epoch": 0.46, "learning_rate": 0.00065, "loss": 1.5245, "step": 192 }, { "epoch": 0.46, "learning_rate": 0.00065, "loss": 1.41, "step": 193 }, { "epoch": 0.46, "learning_rate": 0.00065, "loss": 1.5677, "step": 194 }, { "epoch": 0.47, "learning_rate": 0.00065, "loss": 1.6269, "step": 195 }, { "epoch": 0.47, "learning_rate": 0.00065, "loss": 1.6669, "step": 196 }, { "epoch": 0.47, "learning_rate": 0.00065, "loss": 1.3903, "step": 197 }, { "epoch": 0.47, "learning_rate": 0.00065, "loss": 1.4535, "step": 198 }, { "epoch": 0.47, "learning_rate": 0.00065, "loss": 1.6028, "step": 199 }, { "epoch": 0.48, "learning_rate": 0.00065, "loss": 1.3562, "step": 200 }, { "epoch": 0.48, "learning_rate": 0.00065, "loss": 1.4644, "step": 201 }, { "epoch": 0.48, "learning_rate": 0.00065, "loss": 1.4645, "step": 202 }, { "epoch": 0.48, "learning_rate": 0.00065, "loss": 1.6715, "step": 203 }, { "epoch": 0.49, "learning_rate": 0.00065, "loss": 1.3685, "step": 204 }, { "epoch": 0.49, "learning_rate": 0.00065, "loss": 1.1695, "step": 205 }, { "epoch": 0.49, "learning_rate": 0.00065, "loss": 1.6035, "step": 206 }, { "epoch": 0.49, "learning_rate": 0.00065, "loss": 1.5142, "step": 207 }, { "epoch": 0.5, "learning_rate": 0.00065, "loss": 1.5223, "step": 208 }, { "epoch": 0.5, "learning_rate": 0.00065, "loss": 1.5144, "step": 209 }, { "epoch": 0.5, "learning_rate": 0.00065, "loss": 1.6487, "step": 210 }, { "epoch": 0.5, "eval_loss": 1.4980822801589966, "eval_runtime": 57.8018, "eval_samples_per_second": 8.65, "eval_steps_per_second": 4.325, "step": 210 }, { "epoch": 0.5, "learning_rate": 0.00065, "loss": 1.4847, "step": 211 }, { "epoch": 0.51, "learning_rate": 0.00065, "loss": 1.491, "step": 212 }, { "epoch": 0.51, "learning_rate": 0.00065, "loss": 1.3213, "step": 213 }, { "epoch": 0.51, "learning_rate": 0.00065, "loss": 1.6399, "step": 214 }, { "epoch": 0.51, "learning_rate": 0.00065, "loss": 1.6079, "step": 215 }, { "epoch": 0.52, "learning_rate": 0.00065, "loss": 1.4458, "step": 216 }, { "epoch": 0.52, "learning_rate": 0.00065, "loss": 1.6101, "step": 217 }, { "epoch": 0.52, "learning_rate": 0.00065, "loss": 1.6516, "step": 218 }, { "epoch": 0.52, "learning_rate": 0.00065, "loss": 1.4794, "step": 219 }, { "epoch": 0.53, "learning_rate": 0.00065, "loss": 1.7151, "step": 220 }, { "epoch": 0.53, "learning_rate": 0.00065, "loss": 1.5805, "step": 221 }, { "epoch": 0.53, "learning_rate": 0.00065, "loss": 1.5088, "step": 222 }, { "epoch": 0.53, "learning_rate": 0.00065, "loss": 1.5852, "step": 223 }, { "epoch": 0.53, "learning_rate": 0.00065, "loss": 1.3886, "step": 224 }, { "epoch": 0.54, "learning_rate": 0.00065, "loss": 1.7186, "step": 225 }, { "epoch": 0.54, "learning_rate": 0.00065, "loss": 1.6551, "step": 226 }, { "epoch": 0.54, "learning_rate": 0.00065, "loss": 1.5615, "step": 227 }, { "epoch": 0.54, "learning_rate": 0.00065, "loss": 1.8389, "step": 228 }, { "epoch": 0.55, "learning_rate": 0.00065, "loss": 1.5447, "step": 229 }, { "epoch": 0.55, "learning_rate": 0.00065, "loss": 1.4015, "step": 230 }, { "epoch": 0.55, "learning_rate": 0.00065, "loss": 1.5386, "step": 231 }, { "epoch": 0.55, "learning_rate": 0.00065, "loss": 1.6429, "step": 232 }, { "epoch": 0.56, "learning_rate": 0.00065, "loss": 1.5531, "step": 233 }, { "epoch": 0.56, "learning_rate": 0.00065, "loss": 1.3572, "step": 234 }, { "epoch": 0.56, "learning_rate": 0.00065, "loss": 1.3011, "step": 235 }, { "epoch": 0.56, "learning_rate": 0.00065, "loss": 1.7356, "step": 236 }, { "epoch": 0.57, "learning_rate": 0.00065, "loss": 1.2688, "step": 237 }, { "epoch": 0.57, "learning_rate": 0.00065, "loss": 1.5885, "step": 238 }, { "epoch": 0.57, "learning_rate": 0.00065, "loss": 1.5765, "step": 239 }, { "epoch": 0.57, "learning_rate": 0.00065, "loss": 1.3705, "step": 240 }, { "epoch": 0.58, "learning_rate": 0.00065, "loss": 1.4097, "step": 241 }, { "epoch": 0.58, "learning_rate": 0.00065, "loss": 1.5182, "step": 242 }, { "epoch": 0.58, "learning_rate": 0.00065, "loss": 1.2854, "step": 243 }, { "epoch": 0.58, "learning_rate": 0.00065, "loss": 1.8305, "step": 244 }, { "epoch": 0.58, "learning_rate": 0.00065, "loss": 1.0632, "step": 245 }, { "epoch": 0.59, "learning_rate": 0.00065, "loss": 1.5128, "step": 246 }, { "epoch": 0.59, "learning_rate": 0.00065, "loss": 1.545, "step": 247 }, { "epoch": 0.59, "learning_rate": 0.00065, "loss": 1.4362, "step": 248 }, { "epoch": 0.59, "learning_rate": 0.00065, "loss": 1.093, "step": 249 }, { "epoch": 0.6, "learning_rate": 0.00065, "loss": 1.5286, "step": 250 }, { "epoch": 0.6, "learning_rate": 0.00065, "loss": 1.5218, "step": 251 }, { "epoch": 0.6, "learning_rate": 0.00065, "loss": 1.6147, "step": 252 }, { "epoch": 0.6, "eval_loss": 1.4965262413024902, "eval_runtime": 57.8272, "eval_samples_per_second": 8.646, "eval_steps_per_second": 4.323, "step": 252 }, { "epoch": 0.6, "learning_rate": 0.00065, "loss": 1.6172, "step": 253 }, { "epoch": 0.61, "learning_rate": 0.00065, "loss": 1.4856, "step": 254 }, { "epoch": 0.61, "learning_rate": 0.00065, "loss": 1.6167, "step": 255 }, { "epoch": 0.61, "learning_rate": 0.00065, "loss": 1.5882, "step": 256 }, { "epoch": 0.61, "learning_rate": 0.00065, "loss": 1.4952, "step": 257 }, { "epoch": 0.62, "learning_rate": 0.00065, "loss": 1.5929, "step": 258 }, { "epoch": 0.62, "learning_rate": 0.00065, "loss": 1.314, "step": 259 }, { "epoch": 0.62, "learning_rate": 0.00065, "loss": 1.3682, "step": 260 }, { "epoch": 0.62, "learning_rate": 0.00065, "loss": 1.5718, "step": 261 }, { "epoch": 0.63, "learning_rate": 0.00065, "loss": 1.337, "step": 262 }, { "epoch": 0.63, "learning_rate": 0.00065, "loss": 1.7287, "step": 263 }, { "epoch": 0.63, "learning_rate": 0.00065, "loss": 1.685, "step": 264 }, { "epoch": 0.63, "learning_rate": 0.00065, "loss": 1.1973, "step": 265 }, { "epoch": 0.63, "learning_rate": 0.00065, "loss": 1.4037, "step": 266 }, { "epoch": 0.64, "learning_rate": 0.00065, "loss": 1.3741, "step": 267 }, { "epoch": 0.64, "learning_rate": 0.00065, "loss": 1.6339, "step": 268 }, { "epoch": 0.64, "learning_rate": 0.00065, "loss": 1.6981, "step": 269 }, { "epoch": 0.64, "learning_rate": 0.00065, "loss": 1.4383, "step": 270 }, { "epoch": 0.65, "learning_rate": 0.00065, "loss": 1.5721, "step": 271 }, { "epoch": 0.65, "learning_rate": 0.00065, "loss": 1.587, "step": 272 }, { "epoch": 0.65, "learning_rate": 0.00065, "loss": 1.8308, "step": 273 }, { "epoch": 0.65, "learning_rate": 0.00065, "loss": 1.3733, "step": 274 }, { "epoch": 0.66, "learning_rate": 0.00065, "loss": 1.6366, "step": 275 }, { "epoch": 0.66, "learning_rate": 0.00065, "loss": 1.4057, "step": 276 }, { "epoch": 0.66, "learning_rate": 0.00065, "loss": 1.6264, "step": 277 }, { "epoch": 0.66, "learning_rate": 0.00065, "loss": 1.5546, "step": 278 }, { "epoch": 0.67, "learning_rate": 0.00065, "loss": 1.567, "step": 279 }, { "epoch": 0.67, "learning_rate": 0.00065, "loss": 1.312, "step": 280 }, { "epoch": 0.67, "learning_rate": 0.00065, "loss": 1.438, "step": 281 }, { "epoch": 0.67, "learning_rate": 0.00065, "loss": 1.4226, "step": 282 }, { "epoch": 0.68, "learning_rate": 0.00065, "loss": 1.4871, "step": 283 }, { "epoch": 0.68, "learning_rate": 0.00065, "loss": 1.5465, "step": 284 }, { "epoch": 0.68, "learning_rate": 0.00065, "loss": 1.4989, "step": 285 }, { "epoch": 0.68, "learning_rate": 0.00065, "loss": 1.6361, "step": 286 }, { "epoch": 0.68, "learning_rate": 0.00065, "loss": 1.5529, "step": 287 }, { "epoch": 0.69, "learning_rate": 0.00065, "loss": 1.334, "step": 288 }, { "epoch": 0.69, "learning_rate": 0.00065, "loss": 1.6348, "step": 289 }, { "epoch": 0.69, "learning_rate": 0.00065, "loss": 1.6611, "step": 290 }, { "epoch": 0.69, "learning_rate": 0.00065, "loss": 1.3462, "step": 291 }, { "epoch": 0.7, "learning_rate": 0.00065, "loss": 1.3151, "step": 292 }, { "epoch": 0.7, "learning_rate": 0.00065, "loss": 1.4333, "step": 293 }, { "epoch": 0.7, "learning_rate": 0.00065, "loss": 1.3048, "step": 294 }, { "epoch": 0.7, "eval_loss": 1.4973247051239014, "eval_runtime": 57.7873, "eval_samples_per_second": 8.652, "eval_steps_per_second": 4.326, "step": 294 }, { "epoch": 0.7, "learning_rate": 0.00065, "loss": 1.5376, "step": 295 }, { "epoch": 0.71, "learning_rate": 0.00065, "loss": 1.5643, "step": 296 }, { "epoch": 0.71, "learning_rate": 0.00065, "loss": 1.6501, "step": 297 }, { "epoch": 0.71, "learning_rate": 0.00065, "loss": 1.3652, "step": 298 }, { "epoch": 0.71, "learning_rate": 0.00065, "loss": 1.5191, "step": 299 }, { "epoch": 0.72, "learning_rate": 0.00065, "loss": 1.5722, "step": 300 }, { "epoch": 0.72, "learning_rate": 0.00065, "loss": 1.5057, "step": 301 }, { "epoch": 0.72, "learning_rate": 0.00065, "loss": 1.3798, "step": 302 }, { "epoch": 0.72, "learning_rate": 0.00065, "loss": 1.3492, "step": 303 }, { "epoch": 0.73, "learning_rate": 0.00065, "loss": 1.3582, "step": 304 }, { "epoch": 0.73, "learning_rate": 0.00065, "loss": 1.5691, "step": 305 }, { "epoch": 0.73, "learning_rate": 0.00065, "loss": 1.6634, "step": 306 }, { "epoch": 0.73, "learning_rate": 0.00065, "loss": 1.6464, "step": 307 }, { "epoch": 0.74, "learning_rate": 0.00065, "loss": 1.4683, "step": 308 }, { "epoch": 0.74, "learning_rate": 0.00065, "loss": 1.5424, "step": 309 }, { "epoch": 0.74, "learning_rate": 0.00065, "loss": 1.5145, "step": 310 }, { "epoch": 0.74, "learning_rate": 0.00065, "loss": 1.6582, "step": 311 }, { "epoch": 0.74, "learning_rate": 0.00065, "loss": 1.3616, "step": 312 }, { "epoch": 0.75, "learning_rate": 0.00065, "loss": 1.5284, "step": 313 }, { "epoch": 0.75, "learning_rate": 0.00065, "loss": 1.1895, "step": 314 }, { "epoch": 0.75, "learning_rate": 0.00065, "loss": 1.6037, "step": 315 }, { "epoch": 0.75, "learning_rate": 0.00065, "loss": 1.5233, "step": 316 }, { "epoch": 0.76, "learning_rate": 0.00065, "loss": 1.6914, "step": 317 }, { "epoch": 0.76, "learning_rate": 0.00065, "loss": 1.4968, "step": 318 }, { "epoch": 0.76, "learning_rate": 0.00065, "loss": 1.2765, "step": 319 }, { "epoch": 0.76, "learning_rate": 0.00065, "loss": 1.6675, "step": 320 }, { "epoch": 0.77, "learning_rate": 0.00065, "loss": 1.723, "step": 321 }, { "epoch": 0.77, "learning_rate": 0.00065, "loss": 1.4832, "step": 322 }, { "epoch": 0.77, "learning_rate": 0.00065, "loss": 1.179, "step": 323 }, { "epoch": 0.77, "learning_rate": 0.00065, "loss": 1.5108, "step": 324 }, { "epoch": 0.78, "learning_rate": 0.00065, "loss": 1.3931, "step": 325 }, { "epoch": 0.78, "learning_rate": 0.00065, "loss": 1.6227, "step": 326 }, { "epoch": 0.78, "learning_rate": 0.00065, "loss": 1.353, "step": 327 }, { "epoch": 0.78, "learning_rate": 0.00065, "loss": 1.5377, "step": 328 }, { "epoch": 0.79, "learning_rate": 0.00065, "loss": 1.6277, "step": 329 }, { "epoch": 0.79, "learning_rate": 0.00065, "loss": 1.4532, "step": 330 }, { "epoch": 0.79, "learning_rate": 0.00065, "loss": 1.6329, "step": 331 }, { "epoch": 0.79, "learning_rate": 0.00065, "loss": 1.6595, "step": 332 }, { "epoch": 0.79, "learning_rate": 0.00065, "loss": 1.4014, "step": 333 }, { "epoch": 0.8, "learning_rate": 0.00065, "loss": 1.4108, "step": 334 }, { "epoch": 0.8, "learning_rate": 0.00065, "loss": 1.5729, "step": 335 }, { "epoch": 0.8, "learning_rate": 0.00065, "loss": 1.6205, "step": 336 }, { "epoch": 0.8, "eval_loss": 1.5006886720657349, "eval_runtime": 57.756, "eval_samples_per_second": 8.657, "eval_steps_per_second": 4.329, "step": 336 }, { "epoch": 0.8, "learning_rate": 0.00065, "loss": 1.5595, "step": 337 }, { "epoch": 0.81, "learning_rate": 0.00065, "loss": 1.4389, "step": 338 }, { "epoch": 0.81, "learning_rate": 0.00065, "loss": 1.6702, "step": 339 }, { "epoch": 0.81, "learning_rate": 0.00065, "loss": 1.7348, "step": 340 }, { "epoch": 0.81, "learning_rate": 0.00065, "loss": 1.5383, "step": 341 }, { "epoch": 0.82, "learning_rate": 0.00065, "loss": 1.2777, "step": 342 }, { "epoch": 0.82, "learning_rate": 0.00065, "loss": 1.4466, "step": 343 }, { "epoch": 0.82, "learning_rate": 0.00065, "loss": 1.4665, "step": 344 }, { "epoch": 0.82, "learning_rate": 0.00065, "loss": 1.595, "step": 345 }, { "epoch": 0.83, "learning_rate": 0.00065, "loss": 1.4895, "step": 346 }, { "epoch": 0.83, "learning_rate": 0.00065, "loss": 1.4753, "step": 347 }, { "epoch": 0.83, "learning_rate": 0.00065, "loss": 1.4371, "step": 348 }, { "epoch": 0.83, "learning_rate": 0.00065, "loss": 1.4467, "step": 349 }, { "epoch": 0.84, "learning_rate": 0.00065, "loss": 1.2601, "step": 350 }, { "epoch": 0.84, "learning_rate": 0.00065, "loss": 1.1586, "step": 351 }, { "epoch": 0.84, "learning_rate": 0.00065, "loss": 1.7566, "step": 352 }, { "epoch": 0.84, "learning_rate": 0.00065, "loss": 1.5955, "step": 353 }, { "epoch": 0.84, "learning_rate": 0.00065, "loss": 1.3872, "step": 354 }, { "epoch": 0.85, "learning_rate": 0.00065, "loss": 1.3124, "step": 355 }, { "epoch": 0.85, "learning_rate": 0.00065, "loss": 1.5033, "step": 356 }, { "epoch": 0.85, "learning_rate": 0.00065, "loss": 1.6921, "step": 357 }, { "epoch": 0.85, "learning_rate": 0.00065, "loss": 1.5243, "step": 358 }, { "epoch": 0.86, "learning_rate": 0.00065, "loss": 1.5287, "step": 359 }, { "epoch": 0.86, "learning_rate": 0.00065, "loss": 1.4257, "step": 360 }, { "epoch": 0.86, "learning_rate": 0.00065, "loss": 1.3924, "step": 361 }, { "epoch": 0.86, "learning_rate": 0.00065, "loss": 1.6084, "step": 362 }, { "epoch": 0.87, "learning_rate": 0.00065, "loss": 1.5605, "step": 363 }, { "epoch": 0.87, "learning_rate": 0.00065, "loss": 1.6319, "step": 364 }, { "epoch": 0.87, "learning_rate": 0.00065, "loss": 1.5691, "step": 365 }, { "epoch": 0.87, "learning_rate": 0.00065, "loss": 1.311, "step": 366 }, { "epoch": 0.88, "learning_rate": 0.00065, "loss": 1.4892, "step": 367 }, { "epoch": 0.88, "learning_rate": 0.00065, "loss": 1.3108, "step": 368 }, { "epoch": 0.88, "learning_rate": 0.00065, "loss": 1.6953, "step": 369 }, { "epoch": 0.88, "learning_rate": 0.00065, "loss": 1.5857, "step": 370 }, { "epoch": 0.89, "learning_rate": 0.00065, "loss": 1.4536, "step": 371 }, { "epoch": 0.89, "learning_rate": 0.00065, "loss": 1.4781, "step": 372 }, { "epoch": 0.89, "learning_rate": 0.00065, "loss": 1.5191, "step": 373 }, { "epoch": 0.89, "learning_rate": 0.00065, "loss": 1.5136, "step": 374 }, { "epoch": 0.89, "learning_rate": 0.00065, "loss": 1.5246, "step": 375 }, { "epoch": 0.9, "learning_rate": 0.00065, "loss": 1.022, "step": 376 }, { "epoch": 0.9, "learning_rate": 0.00065, "loss": 1.5182, "step": 377 }, { "epoch": 0.9, "learning_rate": 0.00065, "loss": 1.6045, "step": 378 }, { "epoch": 0.9, "eval_loss": 1.5002774000167847, "eval_runtime": 57.7872, "eval_samples_per_second": 8.652, "eval_steps_per_second": 4.326, "step": 378 }, { "epoch": 0.9, "learning_rate": 0.00065, "loss": 1.6214, "step": 379 }, { "epoch": 0.91, "learning_rate": 0.00065, "loss": 1.4893, "step": 380 }, { "epoch": 0.91, "learning_rate": 0.00065, "loss": 1.5942, "step": 381 }, { "epoch": 0.91, "learning_rate": 0.00065, "loss": 1.369, "step": 382 }, { "epoch": 0.91, "learning_rate": 0.00065, "loss": 1.0446, "step": 383 }, { "epoch": 0.92, "learning_rate": 0.00065, "loss": 1.63, "step": 384 }, { "epoch": 0.92, "learning_rate": 0.00065, "loss": 1.5157, "step": 385 }, { "epoch": 0.92, "learning_rate": 0.00065, "loss": 1.4303, "step": 386 }, { "epoch": 0.92, "learning_rate": 0.00065, "loss": 1.539, "step": 387 }, { "epoch": 0.93, "learning_rate": 0.00065, "loss": 1.3132, "step": 388 }, { "epoch": 0.93, "learning_rate": 0.00065, "loss": 1.0668, "step": 389 }, { "epoch": 0.93, "learning_rate": 0.00065, "loss": 1.5303, "step": 390 }, { "epoch": 0.93, "learning_rate": 0.00065, "loss": 1.5204, "step": 391 }, { "epoch": 0.94, "learning_rate": 0.00065, "loss": 1.6575, "step": 392 }, { "epoch": 0.94, "learning_rate": 0.00065, "loss": 1.5325, "step": 393 }, { "epoch": 0.94, "learning_rate": 0.00065, "loss": 1.6132, "step": 394 }, { "epoch": 0.94, "learning_rate": 0.00065, "loss": 1.4253, "step": 395 }, { "epoch": 0.95, "learning_rate": 0.00065, "loss": 1.2638, "step": 396 }, { "epoch": 0.95, "learning_rate": 0.00065, "loss": 1.5054, "step": 397 }, { "epoch": 0.95, "learning_rate": 0.00065, "loss": 1.6769, "step": 398 }, { "epoch": 0.95, "learning_rate": 0.00065, "loss": 1.5845, "step": 399 }, { "epoch": 0.95, "learning_rate": 0.00065, "loss": 1.2866, "step": 400 }, { "epoch": 0.96, "learning_rate": 0.00065, "loss": 1.1569, "step": 401 }, { "epoch": 0.96, "learning_rate": 0.00065, "loss": 1.2087, "step": 402 }, { "epoch": 0.96, "learning_rate": 0.00065, "loss": 1.6248, "step": 403 }, { "epoch": 0.96, "learning_rate": 0.00065, "loss": 1.5012, "step": 404 }, { "epoch": 0.97, "learning_rate": 0.00065, "loss": 1.6551, "step": 405 }, { "epoch": 0.97, "learning_rate": 0.00065, "loss": 1.4988, "step": 406 }, { "epoch": 0.97, "learning_rate": 0.00065, "loss": 1.4565, "step": 407 }, { "epoch": 0.97, "learning_rate": 0.00065, "loss": 1.2717, "step": 408 }, { "epoch": 0.98, "learning_rate": 0.00065, "loss": 1.7323, "step": 409 }, { "epoch": 0.98, "learning_rate": 0.00065, "loss": 1.5811, "step": 410 }, { "epoch": 0.98, "learning_rate": 0.00065, "loss": 1.4139, "step": 411 }, { "epoch": 0.98, "learning_rate": 0.00065, "loss": 1.4657, "step": 412 }, { "epoch": 0.99, "learning_rate": 0.00065, "loss": 1.5507, "step": 413 }, { "epoch": 0.99, "learning_rate": 0.00065, "loss": 1.4202, "step": 414 }, { "epoch": 0.99, "learning_rate": 0.00065, "loss": 1.412, "step": 415 }, { "epoch": 0.99, "learning_rate": 0.00065, "loss": 1.5208, "step": 416 }, { "epoch": 1.0, "learning_rate": 0.00065, "loss": 1.5733, "step": 417 }, { "epoch": 1.0, "learning_rate": 0.00065, "loss": 1.6295, "step": 418 }, { "epoch": 1.0, "learning_rate": 0.00065, "loss": 1.4903, "step": 419 }, { "epoch": 1.0, "learning_rate": 0.00065, "loss": 1.5781, "step": 420 }, { "epoch": 1.0, "eval_loss": 1.5013374090194702, "eval_runtime": 57.703, "eval_samples_per_second": 8.665, "eval_steps_per_second": 4.333, "step": 420 }, { "epoch": 1.0, "learning_rate": 0.00065, "loss": 1.6304, "step": 421 }, { "epoch": 1.01, "learning_rate": 0.00065, "loss": 1.6533, "step": 422 }, { "epoch": 1.01, "learning_rate": 0.00065, "loss": 1.3432, "step": 423 }, { "epoch": 1.01, "learning_rate": 0.00065, "loss": 1.5377, "step": 424 }, { "epoch": 1.01, "learning_rate": 0.00065, "loss": 1.6638, "step": 425 }, { "epoch": 1.02, "learning_rate": 0.00065, "loss": 1.5242, "step": 426 } ], "logging_steps": 1, "max_steps": 838, "num_train_epochs": 2, "save_steps": 500, "total_flos": 2.900732084748288e+17, "trial_name": null, "trial_params": null }