{ "best_metric": 0.5366095304489136, "best_model_checkpoint": "experts/mistralic-expert-24/checkpoint-800", "epoch": 0.14405329972089673, "eval_steps": 200, "global_step": 800, "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": 0.5117, "step": 1 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.3111, "step": 2 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.716, "step": 3 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6607, "step": 4 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.4214, "step": 5 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.4492, "step": 6 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7175, "step": 7 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5274, "step": 8 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5826, "step": 9 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5033, "step": 10 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5042, "step": 11 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5294, "step": 12 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.624, "step": 13 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5486, "step": 14 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.4771, "step": 15 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5612, "step": 16 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5457, "step": 17 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6896, "step": 18 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6553, "step": 19 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6381, "step": 20 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.3828, "step": 21 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.4695, "step": 22 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.487, "step": 23 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.3967, "step": 24 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5751, "step": 25 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6579, "step": 26 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5842, "step": 27 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.3797, "step": 28 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4901, "step": 29 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5481, "step": 30 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6913, "step": 31 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.3539, "step": 32 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5571, "step": 33 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5536, "step": 34 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6269, "step": 35 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7078, "step": 36 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.45, "step": 37 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5255, "step": 38 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.3599, "step": 39 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5937, "step": 40 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6467, "step": 41 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.714, "step": 42 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5231, "step": 43 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6227, "step": 44 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7712, "step": 45 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6226, "step": 46 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5692, "step": 47 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4322, "step": 48 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6904, "step": 49 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.56, "step": 50 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5573, "step": 51 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7992, "step": 52 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5063, "step": 53 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7108, "step": 54 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4377, "step": 55 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5721, "step": 56 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.3159, "step": 57 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4994, "step": 58 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4391, "step": 59 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7907, "step": 60 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4058, "step": 61 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7346, "step": 62 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.61, "step": 63 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4692, "step": 64 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4497, "step": 65 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6778, "step": 66 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4733, "step": 67 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5037, "step": 68 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4756, "step": 69 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.666, "step": 70 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.571, "step": 71 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6768, "step": 72 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5702, "step": 73 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5459, "step": 74 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5258, "step": 75 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5933, "step": 76 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.3874, "step": 77 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4945, "step": 78 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.3502, "step": 79 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5587, "step": 80 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4846, "step": 81 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4432, "step": 82 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4406, "step": 83 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4158, "step": 84 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5382, "step": 85 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4711, "step": 86 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4975, "step": 87 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4515, "step": 88 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4235, "step": 89 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4553, "step": 90 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.451, "step": 91 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5366, "step": 92 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5172, "step": 93 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4486, "step": 94 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4729, "step": 95 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.467, "step": 96 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5829, "step": 97 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6049, "step": 98 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8424, "step": 99 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4827, "step": 100 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5126, "step": 101 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6989, "step": 102 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6008, "step": 103 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.464, "step": 104 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5899, "step": 105 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5255, "step": 106 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5189, "step": 107 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5066, "step": 108 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4434, "step": 109 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5153, "step": 110 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4537, "step": 111 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5494, "step": 112 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6164, "step": 113 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5129, "step": 114 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7047, "step": 115 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6549, "step": 116 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5573, "step": 117 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4964, "step": 118 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.394, "step": 119 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4223, "step": 120 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4477, "step": 121 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6967, "step": 122 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4975, "step": 123 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4863, "step": 124 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5701, "step": 125 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4304, "step": 126 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5954, "step": 127 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.486, "step": 128 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6194, "step": 129 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4526, "step": 130 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6007, "step": 131 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9758, "step": 132 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4996, "step": 133 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.4912, "step": 134 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6348, "step": 135 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5226, "step": 136 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.48, "step": 137 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.594, "step": 138 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.66, "step": 139 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5426, "step": 140 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6161, "step": 141 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.3786, "step": 142 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7152, "step": 143 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4942, "step": 144 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4854, "step": 145 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7047, "step": 146 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7923, "step": 147 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5231, "step": 148 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.438, "step": 149 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4621, "step": 150 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6048, "step": 151 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5903, "step": 152 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5223, "step": 153 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7192, "step": 154 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4741, "step": 155 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4673, "step": 156 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5428, "step": 157 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5027, "step": 158 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6386, "step": 159 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5278, "step": 160 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5083, "step": 161 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4713, "step": 162 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4939, "step": 163 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5385, "step": 164 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4755, "step": 165 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6208, "step": 166 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5808, "step": 167 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6076, "step": 168 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5491, "step": 169 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6313, "step": 170 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4108, "step": 171 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7379, "step": 172 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4843, "step": 173 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.551, "step": 174 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4906, "step": 175 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6413, "step": 176 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6238, "step": 177 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4573, "step": 178 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4895, "step": 179 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4594, "step": 180 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4024, "step": 181 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6236, "step": 182 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4693, "step": 183 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.345, "step": 184 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5059, "step": 185 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.3356, "step": 186 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.3406, "step": 187 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6401, "step": 188 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5648, "step": 189 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6161, "step": 190 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4426, "step": 191 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5505, "step": 192 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4358, "step": 193 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5671, "step": 194 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5038, "step": 195 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.3115, "step": 196 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7811, "step": 197 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6175, "step": 198 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6518, "step": 199 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4179, "step": 200 }, { "epoch": 0.04, "eval_loss": 0.554664134979248, "eval_runtime": 144.8673, "eval_samples_per_second": 6.903, "eval_steps_per_second": 3.451, "step": 200 }, { "epoch": 0.04, "mmlu_eval_accuracy": 0.6035858878610763, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.8125, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.6363636363636364, "mmlu_eval_accuracy_college_medicine": 0.6818181818181818, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.5, "mmlu_eval_accuracy_econometrics": 0.5833333333333334, "mmlu_eval_accuracy_electrical_engineering": 0.6875, "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.5625, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, "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": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.782608695652174, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.88, "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": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.7647058823529411, "mmlu_eval_accuracy_prehistory": 0.5142857142857142, "mmlu_eval_accuracy_professional_accounting": 0.6129032258064516, "mmlu_eval_accuracy_professional_law": 0.3941176470588235, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.6666666666666666, "mmlu_eval_accuracy_sociology": 0.8636363636363636, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 1.272096410860592, "step": 200 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4771, "step": 201 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6302, "step": 202 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7167, "step": 203 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5508, "step": 204 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5985, "step": 205 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6444, "step": 206 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5587, "step": 207 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4161, "step": 208 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4295, "step": 209 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4249, "step": 210 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.3347, "step": 211 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5797, "step": 212 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.472, "step": 213 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4323, "step": 214 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.3656, "step": 215 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5046, "step": 216 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7236, "step": 217 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.3978, "step": 218 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.724, "step": 219 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6719, "step": 220 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4198, "step": 221 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4589, "step": 222 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4209, "step": 223 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4574, "step": 224 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6178, "step": 225 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4134, "step": 226 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.3615, "step": 227 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4253, "step": 228 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6592, "step": 229 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4886, "step": 230 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.603, "step": 231 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4899, "step": 232 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5666, "step": 233 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6954, "step": 234 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6629, "step": 235 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5663, "step": 236 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.413, "step": 237 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4868, "step": 238 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5815, "step": 239 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6621, "step": 240 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6301, "step": 241 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.3807, "step": 242 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4793, "step": 243 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4946, "step": 244 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5446, "step": 245 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6933, "step": 246 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0135, "step": 247 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.556, "step": 248 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5444, "step": 249 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6291, "step": 250 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5632, "step": 251 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.508, "step": 252 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.3671, "step": 253 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6577, "step": 254 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.607, "step": 255 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.392, "step": 256 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.563, "step": 257 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.443, "step": 258 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.3944, "step": 259 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4961, "step": 260 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5628, "step": 261 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4118, "step": 262 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4639, "step": 263 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5075, "step": 264 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4799, "step": 265 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4849, "step": 266 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6582, "step": 267 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5181, "step": 268 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.539, "step": 269 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.487, "step": 270 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6015, "step": 271 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6475, "step": 272 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5932, "step": 273 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5924, "step": 274 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.3837, "step": 275 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8193, "step": 276 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5695, "step": 277 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7658, "step": 278 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4919, "step": 279 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.46, "step": 280 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4583, "step": 281 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.3968, "step": 282 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.3873, "step": 283 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5765, "step": 284 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6067, "step": 285 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.2832, "step": 286 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4241, "step": 287 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6125, "step": 288 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4966, "step": 289 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6386, "step": 290 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5911, "step": 291 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.3884, "step": 292 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.53, "step": 293 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4554, "step": 294 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4077, "step": 295 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.3473, "step": 296 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.2661, "step": 297 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6654, "step": 298 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5642, "step": 299 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.553, "step": 300 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4969, "step": 301 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5998, "step": 302 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5133, "step": 303 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6338, "step": 304 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.3908, "step": 305 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4956, "step": 306 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4665, "step": 307 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.562, "step": 308 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8452, "step": 309 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6849, "step": 310 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5413, "step": 311 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.3369, "step": 312 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4665, "step": 313 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.3569, "step": 314 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7633, "step": 315 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.3404, "step": 316 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4228, "step": 317 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.48, "step": 318 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.3888, "step": 319 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6661, "step": 320 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9178, "step": 321 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5153, "step": 322 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5238, "step": 323 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5639, "step": 324 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6523, "step": 325 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4562, "step": 326 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4474, "step": 327 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7445, "step": 328 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6328, "step": 329 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5792, "step": 330 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4711, "step": 331 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.623, "step": 332 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4799, "step": 333 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5311, "step": 334 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6722, "step": 335 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6247, "step": 336 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6586, "step": 337 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4482, "step": 338 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4584, "step": 339 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5161, "step": 340 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7856, "step": 341 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5149, "step": 342 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5313, "step": 343 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4932, "step": 344 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.3697, "step": 345 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4181, "step": 346 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6921, "step": 347 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4734, "step": 348 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5266, "step": 349 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5752, "step": 350 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6372, "step": 351 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.354, "step": 352 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5545, "step": 353 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5169, "step": 354 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6304, "step": 355 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5059, "step": 356 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4003, "step": 357 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5806, "step": 358 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5514, "step": 359 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4679, "step": 360 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.3588, "step": 361 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5031, "step": 362 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5722, "step": 363 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.558, "step": 364 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4432, "step": 365 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.3995, "step": 366 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6473, "step": 367 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4249, "step": 368 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5646, "step": 369 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6557, "step": 370 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6462, "step": 371 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5351, "step": 372 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.47, "step": 373 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4184, "step": 374 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4879, "step": 375 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5237, "step": 376 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4797, "step": 377 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5242, "step": 378 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4848, "step": 379 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5238, "step": 380 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6566, "step": 381 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6197, "step": 382 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4861, "step": 383 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5668, "step": 384 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4406, "step": 385 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4544, "step": 386 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6223, "step": 387 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5145, "step": 388 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.3692, "step": 389 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5162, "step": 390 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5107, "step": 391 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6502, "step": 392 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4908, "step": 393 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5245, "step": 394 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4745, "step": 395 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6319, "step": 396 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4801, "step": 397 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5535, "step": 398 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5974, "step": 399 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5451, "step": 400 }, { "epoch": 0.07, "eval_loss": 0.5446667075157166, "eval_runtime": 144.7879, "eval_samples_per_second": 6.907, "eval_steps_per_second": 3.453, "step": 400 }, { "epoch": 0.07, "mmlu_eval_accuracy": 0.59563842789031, "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": 0.5517241379310345, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.25, "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": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.6363636363636364, "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, "mmlu_eval_accuracy_econometrics": 0.6666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.75, "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, "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": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.92, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.33, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.5142857142857142, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.3941176470588235, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.6296296296296297, "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": 1.3502731320907801, "step": 400 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.3468, "step": 401 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.472, "step": 402 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4599, "step": 403 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7189, "step": 404 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4516, "step": 405 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.3887, "step": 406 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.2939, "step": 407 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4829, "step": 408 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5295, "step": 409 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4269, "step": 410 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.3893, "step": 411 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4653, "step": 412 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.2917, "step": 413 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.574, "step": 414 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5537, "step": 415 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.3899, "step": 416 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4671, "step": 417 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5915, "step": 418 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4878, "step": 419 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5554, "step": 420 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.3838, "step": 421 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4592, "step": 422 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5172, "step": 423 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5647, "step": 424 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7022, "step": 425 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.636, "step": 426 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.3475, "step": 427 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4519, "step": 428 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6054, "step": 429 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4783, "step": 430 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5805, "step": 431 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5028, "step": 432 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5735, "step": 433 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5809, "step": 434 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5188, "step": 435 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5045, "step": 436 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5549, "step": 437 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4818, "step": 438 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4809, "step": 439 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5145, "step": 440 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4645, "step": 441 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5796, "step": 442 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4327, "step": 443 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4538, "step": 444 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5876, "step": 445 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5775, "step": 446 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.3551, "step": 447 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6221, "step": 448 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5273, "step": 449 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8619, "step": 450 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6748, "step": 451 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5478, "step": 452 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6225, "step": 453 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4775, "step": 454 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7795, "step": 455 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4995, "step": 456 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.3697, "step": 457 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6555, "step": 458 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4833, "step": 459 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4076, "step": 460 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5413, "step": 461 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7217, "step": 462 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4547, "step": 463 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5387, "step": 464 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5941, "step": 465 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5118, "step": 466 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.3596, "step": 467 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.3598, "step": 468 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5262, "step": 469 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5125, "step": 470 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.3624, "step": 471 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5775, "step": 472 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7362, "step": 473 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.3322, "step": 474 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4117, "step": 475 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.457, "step": 476 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5103, "step": 477 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.3227, "step": 478 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6907, "step": 479 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.3241, "step": 480 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6381, "step": 481 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5874, "step": 482 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4597, "step": 483 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5769, "step": 484 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5261, "step": 485 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6467, "step": 486 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.3657, "step": 487 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6098, "step": 488 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.3525, "step": 489 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4836, "step": 490 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4528, "step": 491 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5486, "step": 492 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.48, "step": 493 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4883, "step": 494 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6014, "step": 495 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6339, "step": 496 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6686, "step": 497 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5518, "step": 498 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4066, "step": 499 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6109, "step": 500 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.3591, "step": 501 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5504, "step": 502 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4453, "step": 503 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4683, "step": 504 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.2399, "step": 505 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6047, "step": 506 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6541, "step": 507 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.509, "step": 508 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.2881, "step": 509 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4289, "step": 510 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5731, "step": 511 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5484, "step": 512 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5527, "step": 513 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.3615, "step": 514 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.63, "step": 515 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5487, "step": 516 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7353, "step": 517 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4918, "step": 518 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6171, "step": 519 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5706, "step": 520 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.3239, "step": 521 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4646, "step": 522 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.355, "step": 523 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4947, "step": 524 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6404, "step": 525 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7208, "step": 526 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5575, "step": 527 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4053, "step": 528 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.3755, "step": 529 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5134, "step": 530 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7995, "step": 531 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6039, "step": 532 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5288, "step": 533 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4056, "step": 534 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4696, "step": 535 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.3226, "step": 536 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4974, "step": 537 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.356, "step": 538 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.3916, "step": 539 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5339, "step": 540 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5466, "step": 541 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4411, "step": 542 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4353, "step": 543 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6056, "step": 544 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4129, "step": 545 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5044, "step": 546 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5708, "step": 547 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5067, "step": 548 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5268, "step": 549 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.872, "step": 550 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4811, "step": 551 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4171, "step": 552 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.3894, "step": 553 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5298, "step": 554 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5155, "step": 555 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.3351, "step": 556 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.3583, "step": 557 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8062, "step": 558 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4545, "step": 559 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7254, "step": 560 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.521, "step": 561 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4765, "step": 562 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5918, "step": 563 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4671, "step": 564 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4906, "step": 565 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5199, "step": 566 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.619, "step": 567 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.684, "step": 568 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5165, "step": 569 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4393, "step": 570 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.51, "step": 571 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5991, "step": 572 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.2851, "step": 573 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5848, "step": 574 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6357, "step": 575 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4779, "step": 576 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.541, "step": 577 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7716, "step": 578 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5097, "step": 579 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6648, "step": 580 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.429, "step": 581 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7619, "step": 582 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6017, "step": 583 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7838, "step": 584 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5616, "step": 585 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4064, "step": 586 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.3623, "step": 587 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6836, "step": 588 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5234, "step": 589 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6112, "step": 590 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.587, "step": 591 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.682, "step": 592 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4636, "step": 593 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5116, "step": 594 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5997, "step": 595 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.3824, "step": 596 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.3724, "step": 597 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.526, "step": 598 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.3089, "step": 599 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8847, "step": 600 }, { "epoch": 0.11, "eval_loss": 0.5414947867393494, "eval_runtime": 144.7335, "eval_samples_per_second": 6.909, "eval_steps_per_second": 3.455, "step": 600 }, { "epoch": 0.11, "mmlu_eval_accuracy": 0.6038475689431909, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.7272727272727273, "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, "mmlu_eval_accuracy_college_medicine": 0.6818181818181818, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, "mmlu_eval_accuracy_econometrics": 0.6666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.6875, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "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": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, "mmlu_eval_accuracy_high_school_mathematics": 0.4482758620689655, "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.782608695652174, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.33, "mmlu_eval_accuracy_nutrition": 0.7575757575757576, "mmlu_eval_accuracy_philosophy": 0.7647058823529411, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, "mmlu_eval_accuracy_professional_law": 0.38823529411764707, "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.7407407407407407, "mmlu_eval_accuracy_sociology": 0.8636363636363636, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.8947368421052632, "mmlu_loss": 1.2973803256105816, "step": 600 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4642, "step": 601 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5805, "step": 602 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4317, "step": 603 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4954, "step": 604 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5975, "step": 605 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5586, "step": 606 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6258, "step": 607 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6829, "step": 608 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.581, "step": 609 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.3792, "step": 610 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6389, "step": 611 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4764, "step": 612 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4157, "step": 613 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4616, "step": 614 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4526, "step": 615 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.3869, "step": 616 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5001, "step": 617 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6661, "step": 618 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.3069, "step": 619 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.532, "step": 620 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4815, "step": 621 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5963, "step": 622 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4567, "step": 623 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5038, "step": 624 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.535, "step": 625 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6171, "step": 626 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4042, "step": 627 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.527, "step": 628 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6249, "step": 629 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5914, "step": 630 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5425, "step": 631 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5134, "step": 632 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4873, "step": 633 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6505, "step": 634 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5515, "step": 635 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4668, "step": 636 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4767, "step": 637 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7176, "step": 638 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4866, "step": 639 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.405, "step": 640 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5024, "step": 641 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8296, "step": 642 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4577, "step": 643 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5099, "step": 644 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5029, "step": 645 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6126, "step": 646 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.465, "step": 647 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.3062, "step": 648 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5562, "step": 649 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7371, "step": 650 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.609, "step": 651 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5509, "step": 652 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.751, "step": 653 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9078, "step": 654 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6472, "step": 655 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5766, "step": 656 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.3951, "step": 657 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4733, "step": 658 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6431, "step": 659 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.513, "step": 660 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5163, "step": 661 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5054, "step": 662 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4747, "step": 663 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4521, "step": 664 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4414, "step": 665 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4021, "step": 666 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5453, "step": 667 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6636, "step": 668 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5122, "step": 669 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6873, "step": 670 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4264, "step": 671 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4749, "step": 672 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5014, "step": 673 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6289, "step": 674 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5373, "step": 675 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5185, "step": 676 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.3556, "step": 677 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5715, "step": 678 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4015, "step": 679 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4127, "step": 680 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5251, "step": 681 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5674, "step": 682 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4494, "step": 683 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5874, "step": 684 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4337, "step": 685 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4706, "step": 686 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6157, "step": 687 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5256, "step": 688 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4893, "step": 689 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6024, "step": 690 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7282, "step": 691 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5943, "step": 692 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5004, "step": 693 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5015, "step": 694 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4632, "step": 695 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5742, "step": 696 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5978, "step": 697 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6051, "step": 698 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5645, "step": 699 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4623, "step": 700 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.2784, "step": 701 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.458, "step": 702 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5949, "step": 703 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6304, "step": 704 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5583, "step": 705 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4257, "step": 706 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4948, "step": 707 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5785, "step": 708 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4898, "step": 709 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5131, "step": 710 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6441, "step": 711 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5909, "step": 712 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.478, "step": 713 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4122, "step": 714 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.539, "step": 715 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4476, "step": 716 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4447, "step": 717 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.425, "step": 718 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.3987, "step": 719 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.524, "step": 720 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8292, "step": 721 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.3988, "step": 722 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5389, "step": 723 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.496, "step": 724 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5422, "step": 725 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6515, "step": 726 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8199, "step": 727 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.391, "step": 728 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.3745, "step": 729 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6721, "step": 730 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6148, "step": 731 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6323, "step": 732 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6396, "step": 733 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5892, "step": 734 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4324, "step": 735 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4461, "step": 736 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.457, "step": 737 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4041, "step": 738 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6304, "step": 739 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5858, "step": 740 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4544, "step": 741 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5471, "step": 742 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4115, "step": 743 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.3517, "step": 744 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4389, "step": 745 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5832, "step": 746 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6529, "step": 747 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7869, "step": 748 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5561, "step": 749 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5794, "step": 750 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4393, "step": 751 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.488, "step": 752 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.419, "step": 753 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5628, "step": 754 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7296, "step": 755 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6726, "step": 756 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6309, "step": 757 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5297, "step": 758 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4851, "step": 759 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.2835, "step": 760 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6063, "step": 761 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5745, "step": 762 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4849, "step": 763 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.3366, "step": 764 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4994, "step": 765 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.431, "step": 766 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5118, "step": 767 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5479, "step": 768 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6533, "step": 769 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.596, "step": 770 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.3035, "step": 771 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.3941, "step": 772 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7275, "step": 773 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.648, "step": 774 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4947, "step": 775 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5208, "step": 776 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5287, "step": 777 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4572, "step": 778 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.712, "step": 779 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6872, "step": 780 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5623, "step": 781 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4497, "step": 782 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8345, "step": 783 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.3833, "step": 784 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5827, "step": 785 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4106, "step": 786 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5307, "step": 787 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4739, "step": 788 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4821, "step": 789 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5066, "step": 790 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7109, "step": 791 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5116, "step": 792 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6195, "step": 793 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4742, "step": 794 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5385, "step": 795 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5441, "step": 796 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4244, "step": 797 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4749, "step": 798 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5881, "step": 799 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5864, "step": 800 }, { "epoch": 0.14, "eval_loss": 0.5366095304489136, "eval_runtime": 144.6064, "eval_samples_per_second": 6.915, "eval_steps_per_second": 3.458, "step": 800 }, { "epoch": 0.14, "mmlu_eval_accuracy": 0.6021210906273604, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.8125, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.6363636363636364, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, "mmlu_eval_accuracy_econometrics": 0.75, "mmlu_eval_accuracy_electrical_engineering": 0.6875, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, "mmlu_eval_accuracy_high_school_mathematics": 0.4482758620689655, "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.782608695652174, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.92, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, "mmlu_eval_accuracy_moral_scenarios": 0.31, "mmlu_eval_accuracy_nutrition": 0.8181818181818182, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, "mmlu_eval_accuracy_professional_law": 0.4, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.7037037037037037, "mmlu_eval_accuracy_sociology": 0.9090909090909091, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.6111111111111112, "mmlu_eval_accuracy_world_religions": 0.8947368421052632, "mmlu_loss": 1.290061207998826, "step": 800 } ], "logging_steps": 1, "max_steps": 16659, "num_train_epochs": 3, "save_steps": 200, "total_flos": 1.7825728785422746e+17, "trial_name": null, "trial_params": null }