{ "best_metric": 0.600193977355957, "best_model_checkpoint": "experts/mistralic-expert-23/checkpoint-200", "epoch": 0.046734431592475756, "eval_steps": 200, "global_step": 200, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6926, "step": 1 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6169, "step": 2 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.539, "step": 3 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5802, "step": 4 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5176, "step": 5 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6371, "step": 6 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5969, "step": 7 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6545, "step": 8 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7967, "step": 9 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5244, "step": 10 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9098, "step": 11 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7216, "step": 12 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5279, "step": 13 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.784, "step": 14 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9971, "step": 15 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5255, "step": 16 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6404, "step": 17 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8234, "step": 18 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.529, "step": 19 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5078, "step": 20 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.4981, "step": 21 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8841, "step": 22 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5563, "step": 23 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5759, "step": 24 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5739, "step": 25 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5891, "step": 26 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.454, "step": 27 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5685, "step": 28 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5723, "step": 29 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.516, "step": 30 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7419, "step": 31 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7529, "step": 32 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6331, "step": 33 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7149, "step": 34 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7413, "step": 35 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5488, "step": 36 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8207, "step": 37 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5589, "step": 38 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5907, "step": 39 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6014, "step": 40 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5317, "step": 41 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5762, "step": 42 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5986, "step": 43 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5758, "step": 44 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7376, "step": 45 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6161, "step": 46 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5554, "step": 47 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5997, "step": 48 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5616, "step": 49 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5376, "step": 50 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6303, "step": 51 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5722, "step": 52 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5588, "step": 53 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5734, "step": 54 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5353, "step": 55 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5713, "step": 56 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6006, "step": 57 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7782, "step": 58 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5286, "step": 59 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6655, "step": 60 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6916, "step": 61 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8167, "step": 62 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5933, "step": 63 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5054, "step": 64 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5764, "step": 65 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4551, "step": 66 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6122, "step": 67 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6257, "step": 68 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6027, "step": 69 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5796, "step": 70 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6817, "step": 71 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5495, "step": 72 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5997, "step": 73 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.837, "step": 74 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5642, "step": 75 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5644, "step": 76 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5589, "step": 77 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6021, "step": 78 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6688, "step": 79 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5716, "step": 80 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.75, "step": 81 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6068, "step": 82 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5987, "step": 83 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7231, "step": 84 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5786, "step": 85 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6502, "step": 86 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6702, "step": 87 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6432, "step": 88 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5064, "step": 89 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5188, "step": 90 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9853, "step": 91 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5188, "step": 92 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8395, "step": 93 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5267, "step": 94 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5357, "step": 95 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5574, "step": 96 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5883, "step": 97 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6675, "step": 98 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5527, "step": 99 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6302, "step": 100 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8618, "step": 101 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6703, "step": 102 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5242, "step": 103 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.653, "step": 104 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6386, "step": 105 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7444, "step": 106 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5107, "step": 107 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6885, "step": 108 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5642, "step": 109 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6477, "step": 110 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6824, "step": 111 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5575, "step": 112 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5927, "step": 113 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5312, "step": 114 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.63, "step": 115 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4778, "step": 116 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5675, "step": 117 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4322, "step": 118 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5693, "step": 119 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6603, "step": 120 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4729, "step": 121 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8347, "step": 122 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6119, "step": 123 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7242, "step": 124 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5018, "step": 125 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7959, "step": 126 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.606, "step": 127 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5727, "step": 128 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6316, "step": 129 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6095, "step": 130 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5735, "step": 131 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4528, "step": 132 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5352, "step": 133 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6042, "step": 134 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.76, "step": 135 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4522, "step": 136 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5826, "step": 137 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5408, "step": 138 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5659, "step": 139 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.551, "step": 140 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5766, "step": 141 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5377, "step": 142 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8203, "step": 143 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5066, "step": 144 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5001, "step": 145 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5727, "step": 146 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6109, "step": 147 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6467, "step": 148 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6917, "step": 149 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6373, "step": 150 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6928, "step": 151 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5866, "step": 152 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.659, "step": 153 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5483, "step": 154 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5335, "step": 155 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7856, "step": 156 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5694, "step": 157 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8404, "step": 158 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.575, "step": 159 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6436, "step": 160 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4149, "step": 161 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6085, "step": 162 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5949, "step": 163 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6294, "step": 164 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5303, "step": 165 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7256, "step": 166 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6095, "step": 167 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7129, "step": 168 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6088, "step": 169 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4735, "step": 170 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4963, "step": 171 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8293, "step": 172 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6143, "step": 173 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5835, "step": 174 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7986, "step": 175 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6569, "step": 176 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6295, "step": 177 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4927, "step": 178 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5401, "step": 179 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6203, "step": 180 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5045, "step": 181 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5779, "step": 182 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5386, "step": 183 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4483, "step": 184 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5543, "step": 185 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0266, "step": 186 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5621, "step": 187 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5884, "step": 188 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5395, "step": 189 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6764, "step": 190 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5938, "step": 191 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6306, "step": 192 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8946, "step": 193 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6613, "step": 194 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4926, "step": 195 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4874, "step": 196 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6966, "step": 197 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7493, "step": 198 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.62, "step": 199 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8005, "step": 200 }, { "epoch": 0.05, "eval_loss": 0.600193977355957, "eval_runtime": 156.5363, "eval_samples_per_second": 6.388, "eval_steps_per_second": 3.194, "step": 200 }, { "epoch": 0.05, "mmlu_eval_accuracy": 0.6110525160674652, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.6818181818181818, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.6363636363636364, "mmlu_eval_accuracy_conceptual_physics": 0.5, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.625, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.625, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.92, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.37, "mmlu_eval_accuracy_nutrition": 0.7272727272727273, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.4, "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.7407407407407407, "mmlu_eval_accuracy_sociology": 0.9090909090909091, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.8947368421052632, "mmlu_loss": 1.4672958862532524, "step": 200 } ], "logging_steps": 1, "max_steps": 12837, "num_train_epochs": 3, "save_steps": 200, "total_flos": 4.930732762909901e+16, "trial_name": null, "trial_params": null }