{ "best_metric": 0.7611117959022522, "best_model_checkpoint": "experts/mistralic-expert-16/checkpoint-1000", "epoch": 0.6654255951202123, "eval_steps": 200, "global_step": 4200, "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": 0.6637, "step": 1 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8401, "step": 2 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0213, "step": 3 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8495, "step": 4 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6978, "step": 5 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5753, "step": 6 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0964, "step": 7 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7564, "step": 8 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7727, "step": 9 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.628, "step": 10 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6582, "step": 11 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.503, "step": 12 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7947, "step": 13 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7498, "step": 14 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8223, "step": 15 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6472, "step": 16 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5838, "step": 17 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5898, "step": 18 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8151, "step": 19 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9615, "step": 20 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5262, "step": 21 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6605, "step": 22 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8336, "step": 23 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6619, "step": 24 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5939, "step": 25 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6649, "step": 26 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 2.0444, "step": 27 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0032, "step": 28 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7444, "step": 29 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6473, "step": 30 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.559, "step": 31 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8879, "step": 32 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7444, "step": 33 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0212, "step": 34 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7099, "step": 35 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8135, "step": 36 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7646, "step": 37 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6463, "step": 38 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.624, "step": 39 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8538, "step": 40 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8128, "step": 41 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6866, "step": 42 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8001, "step": 43 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8757, "step": 44 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8471, "step": 45 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7411, "step": 46 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9945, "step": 47 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9166, "step": 48 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9938, "step": 49 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5628, "step": 50 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0387, "step": 51 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8389, "step": 52 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6579, "step": 53 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8494, "step": 54 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.035, "step": 55 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.1137, "step": 56 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7357, "step": 57 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8016, "step": 58 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7981, "step": 59 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4606, "step": 60 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6416, "step": 61 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7766, "step": 62 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6493, "step": 63 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8368, "step": 64 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5657, "step": 65 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7935, "step": 66 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8966, "step": 67 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6217, "step": 68 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8815, "step": 69 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0261, "step": 70 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8171, "step": 71 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9208, "step": 72 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.808, "step": 73 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8998, "step": 74 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8616, "step": 75 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.923, "step": 76 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6681, "step": 77 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7372, "step": 78 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7878, "step": 79 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4749, "step": 80 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7724, "step": 81 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6716, "step": 82 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0098, "step": 83 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5414, "step": 84 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8, "step": 85 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6042, "step": 86 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7772, "step": 87 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7977, "step": 88 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8397, "step": 89 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6203, "step": 90 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8338, "step": 91 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7896, "step": 92 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9499, "step": 93 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5947, "step": 94 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8759, "step": 95 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6693, "step": 96 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6887, "step": 97 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7044, "step": 98 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0049, "step": 99 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.795, "step": 100 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0949, "step": 101 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8985, "step": 102 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5345, "step": 103 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6864, "step": 104 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9974, "step": 105 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5856, "step": 106 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7511, "step": 107 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5102, "step": 108 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7603, "step": 109 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8859, "step": 110 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6276, "step": 111 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9779, "step": 112 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.992, "step": 113 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5208, "step": 114 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7567, "step": 115 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5836, "step": 116 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6989, "step": 117 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.598, "step": 118 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7416, "step": 119 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6019, "step": 120 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9242, "step": 121 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7589, "step": 122 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.3751, "step": 123 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6616, "step": 124 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6024, "step": 125 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7027, "step": 126 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9824, "step": 127 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5769, "step": 128 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6134, "step": 129 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5904, "step": 130 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7515, "step": 131 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6977, "step": 132 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6833, "step": 133 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7729, "step": 134 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7972, "step": 135 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7763, "step": 136 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8101, "step": 137 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.976, "step": 138 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6232, "step": 139 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.5322, "step": 140 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8825, "step": 141 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7715, "step": 142 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7375, "step": 143 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9355, "step": 144 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.147, "step": 145 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8728, "step": 146 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8857, "step": 147 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5422, "step": 148 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6288, "step": 149 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7528, "step": 150 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7872, "step": 151 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7407, "step": 152 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9563, "step": 153 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0431, "step": 154 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.035, "step": 155 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7889, "step": 156 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9344, "step": 157 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.796, "step": 158 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7938, "step": 159 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5437, "step": 160 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9359, "step": 161 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.87, "step": 162 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6749, "step": 163 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8073, "step": 164 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8534, "step": 165 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8366, "step": 166 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0977, "step": 167 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6232, "step": 168 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8216, "step": 169 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5867, "step": 170 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0379, "step": 171 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8962, "step": 172 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7714, "step": 173 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7251, "step": 174 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6247, "step": 175 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5575, "step": 176 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7877, "step": 177 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0638, "step": 178 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8963, "step": 179 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6579, "step": 180 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7132, "step": 181 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7348, "step": 182 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5733, "step": 183 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7421, "step": 184 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8896, "step": 185 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8471, "step": 186 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9158, "step": 187 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5107, "step": 188 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9068, "step": 189 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0322, "step": 190 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8791, "step": 191 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5369, "step": 192 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5376, "step": 193 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9083, "step": 194 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8257, "step": 195 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8235, "step": 196 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5283, "step": 197 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.656, "step": 198 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7968, "step": 199 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.536, "step": 200 }, { "epoch": 0.03, "eval_loss": 0.7664799094200134, "eval_runtime": 154.3432, "eval_samples_per_second": 6.479, "eval_steps_per_second": 3.24, "step": 200 }, { "epoch": 0.03, "mmlu_eval_accuracy": 0.5963691469709991, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.5625, "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": 0.5909090909090909, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "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": 0.5625, "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.5, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "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": 0.2413793103448276, "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": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "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": 0.7222222222222222, "mmlu_eval_accuracy_machine_learning": 0.6363636363636364, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.92, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, "mmlu_eval_accuracy_moral_scenarios": 0.31, "mmlu_eval_accuracy_nutrition": 0.7878787878787878, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.6774193548387096, "mmlu_eval_accuracy_professional_law": 0.37058823529411766, "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.9090909090909091, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 1.2411628218839437, "step": 200 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9439, "step": 201 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8041, "step": 202 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7885, "step": 203 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5351, "step": 204 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6244, "step": 205 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6268, "step": 206 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7006, "step": 207 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.757, "step": 208 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7654, "step": 209 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6594, "step": 210 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9099, "step": 211 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7043, "step": 212 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8959, "step": 213 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.756, "step": 214 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8411, "step": 215 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.567, "step": 216 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8157, "step": 217 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6843, "step": 218 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8001, "step": 219 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6045, "step": 220 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5119, "step": 221 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7622, "step": 222 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7242, "step": 223 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5367, "step": 224 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.106, "step": 225 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7645, "step": 226 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7407, "step": 227 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8071, "step": 228 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.759, "step": 229 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0373, "step": 230 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.886, "step": 231 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5928, "step": 232 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.663, "step": 233 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7304, "step": 234 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8002, "step": 235 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.554, "step": 236 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8972, "step": 237 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.2181, "step": 238 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7627, "step": 239 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6485, "step": 240 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8756, "step": 241 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5099, "step": 242 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7772, "step": 243 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7654, "step": 244 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6795, "step": 245 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.709, "step": 246 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0877, "step": 247 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7239, "step": 248 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.946, "step": 249 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.838, "step": 250 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7542, "step": 251 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8244, "step": 252 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0065, "step": 253 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7358, "step": 254 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6672, "step": 255 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6232, "step": 256 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8619, "step": 257 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7068, "step": 258 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8178, "step": 259 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5931, "step": 260 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8097, "step": 261 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8769, "step": 262 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0777, "step": 263 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1692, "step": 264 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5373, "step": 265 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.229, "step": 266 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6988, "step": 267 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.865, "step": 268 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7268, "step": 269 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9461, "step": 270 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8048, "step": 271 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6674, "step": 272 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7445, "step": 273 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8691, "step": 274 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9511, "step": 275 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8585, "step": 276 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9054, "step": 277 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8688, "step": 278 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1202, "step": 279 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7605, "step": 280 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5843, "step": 281 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.693, "step": 282 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.4731, "step": 283 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7056, "step": 284 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8016, "step": 285 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8471, "step": 286 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5018, "step": 287 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7771, "step": 288 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5368, "step": 289 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6716, "step": 290 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9226, "step": 291 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6514, "step": 292 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6389, "step": 293 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0019, "step": 294 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9027, "step": 295 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8403, "step": 296 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7016, "step": 297 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5971, "step": 298 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8033, "step": 299 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7893, "step": 300 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7054, "step": 301 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9471, "step": 302 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8982, "step": 303 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9682, "step": 304 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6024, "step": 305 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7184, "step": 306 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7566, "step": 307 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7607, "step": 308 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5993, "step": 309 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7502, "step": 310 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8958, "step": 311 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8621, "step": 312 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7835, "step": 313 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6815, "step": 314 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7599, "step": 315 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.734, "step": 316 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6543, "step": 317 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6149, "step": 318 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7239, "step": 319 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.3942, "step": 320 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7239, "step": 321 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6636, "step": 322 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4779, "step": 323 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5454, "step": 324 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8962, "step": 325 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6651, "step": 326 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6797, "step": 327 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7515, "step": 328 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7732, "step": 329 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6828, "step": 330 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8203, "step": 331 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9032, "step": 332 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6609, "step": 333 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6706, "step": 334 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.555, "step": 335 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6961, "step": 336 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7812, "step": 337 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7667, "step": 338 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6431, "step": 339 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6958, "step": 340 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7055, "step": 341 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5383, "step": 342 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6951, "step": 343 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.624, "step": 344 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7244, "step": 345 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6788, "step": 346 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0403, "step": 347 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8656, "step": 348 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7682, "step": 349 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6556, "step": 350 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9285, "step": 351 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8778, "step": 352 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.3931, "step": 353 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7759, "step": 354 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5455, "step": 355 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9343, "step": 356 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.627, "step": 357 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7332, "step": 358 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4948, "step": 359 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6612, "step": 360 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8086, "step": 361 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7435, "step": 362 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9533, "step": 363 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6942, "step": 364 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7618, "step": 365 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7144, "step": 366 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6153, "step": 367 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6408, "step": 368 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1895, "step": 369 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.949, "step": 370 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4565, "step": 371 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6903, "step": 372 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6956, "step": 373 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6568, "step": 374 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6129, "step": 375 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6205, "step": 376 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8534, "step": 377 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6967, "step": 378 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7698, "step": 379 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9859, "step": 380 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0283, "step": 381 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7195, "step": 382 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5506, "step": 383 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7118, "step": 384 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7334, "step": 385 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8707, "step": 386 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6609, "step": 387 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8106, "step": 388 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9443, "step": 389 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.558, "step": 390 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9331, "step": 391 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7413, "step": 392 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9114, "step": 393 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1099, "step": 394 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8798, "step": 395 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9745, "step": 396 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7468, "step": 397 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5748, "step": 398 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9129, "step": 399 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8696, "step": 400 }, { "epoch": 0.06, "eval_loss": 0.7634292244911194, "eval_runtime": 154.2679, "eval_samples_per_second": 6.482, "eval_steps_per_second": 3.241, "step": 400 }, { "epoch": 0.06, "mmlu_eval_accuracy": 0.582014575618387, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "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": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.6, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "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": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, "mmlu_eval_accuracy_machine_learning": 0.6363636363636364, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.32, "mmlu_eval_accuracy_nutrition": 0.7575757575757576, "mmlu_eval_accuracy_philosophy": 0.7647058823529411, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, "mmlu_eval_accuracy_professional_law": 0.36470588235294116, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, "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": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 1.1038525643376706, "step": 400 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9033, "step": 401 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7314, "step": 402 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5781, "step": 403 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6335, "step": 404 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7935, "step": 405 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7954, "step": 406 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7832, "step": 407 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.911, "step": 408 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9981, "step": 409 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6957, "step": 410 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0077, "step": 411 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7651, "step": 412 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9796, "step": 413 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8033, "step": 414 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7299, "step": 415 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8103, "step": 416 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6264, "step": 417 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9188, "step": 418 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.675, "step": 419 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9005, "step": 420 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9, "step": 421 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8124, "step": 422 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.878, "step": 423 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.012, "step": 424 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9317, "step": 425 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9145, "step": 426 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.551, "step": 427 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7277, "step": 428 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8815, "step": 429 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5955, "step": 430 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7337, "step": 431 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8115, "step": 432 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4938, "step": 433 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7597, "step": 434 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7131, "step": 435 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8459, "step": 436 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.682, "step": 437 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7539, "step": 438 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5832, "step": 439 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.027, "step": 440 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8823, "step": 441 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8111, "step": 442 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7896, "step": 443 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8611, "step": 444 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7889, "step": 445 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.842, "step": 446 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.1133, "step": 447 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8547, "step": 448 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.635, "step": 449 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.819, "step": 450 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6771, "step": 451 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9835, "step": 452 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7865, "step": 453 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7251, "step": 454 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7252, "step": 455 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6285, "step": 456 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8226, "step": 457 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9227, "step": 458 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8963, "step": 459 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9053, "step": 460 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8643, "step": 461 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8897, "step": 462 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8069, "step": 463 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6344, "step": 464 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8596, "step": 465 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0561, "step": 466 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7554, "step": 467 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8137, "step": 468 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.922, "step": 469 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8109, "step": 470 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8298, "step": 471 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5106, "step": 472 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8882, "step": 473 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6041, "step": 474 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8929, "step": 475 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7443, "step": 476 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0332, "step": 477 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6776, "step": 478 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6819, "step": 479 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7143, "step": 480 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9434, "step": 481 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0725, "step": 482 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5402, "step": 483 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8952, "step": 484 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7315, "step": 485 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.1633, "step": 486 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6815, "step": 487 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5161, "step": 488 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6741, "step": 489 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7827, "step": 490 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5693, "step": 491 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5521, "step": 492 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5783, "step": 493 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9696, "step": 494 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8316, "step": 495 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8936, "step": 496 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7704, "step": 497 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9177, "step": 498 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6919, "step": 499 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5591, "step": 500 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.793, "step": 501 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6148, "step": 502 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8616, "step": 503 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7995, "step": 504 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9026, "step": 505 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8013, "step": 506 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7315, "step": 507 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9467, "step": 508 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9412, "step": 509 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.3872, "step": 510 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5475, "step": 511 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8641, "step": 512 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8478, "step": 513 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9471, "step": 514 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6307, "step": 515 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8896, "step": 516 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9323, "step": 517 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.1377, "step": 518 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6785, "step": 519 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7828, "step": 520 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7498, "step": 521 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8784, "step": 522 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8723, "step": 523 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6768, "step": 524 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.57, "step": 525 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6339, "step": 526 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6221, "step": 527 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8042, "step": 528 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6164, "step": 529 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6869, "step": 530 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7531, "step": 531 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6863, "step": 532 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6329, "step": 533 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8289, "step": 534 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7399, "step": 535 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7921, "step": 536 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6602, "step": 537 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8025, "step": 538 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7965, "step": 539 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9087, "step": 540 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7666, "step": 541 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5291, "step": 542 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0275, "step": 543 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7976, "step": 544 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9139, "step": 545 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6894, "step": 546 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.815, "step": 547 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7209, "step": 548 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5423, "step": 549 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.903, "step": 550 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6087, "step": 551 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8032, "step": 552 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9988, "step": 553 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0055, "step": 554 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7856, "step": 555 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8602, "step": 556 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7981, "step": 557 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8529, "step": 558 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9516, "step": 559 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5964, "step": 560 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6579, "step": 561 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6909, "step": 562 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7012, "step": 563 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8099, "step": 564 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8283, "step": 565 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6402, "step": 566 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6288, "step": 567 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6598, "step": 568 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9796, "step": 569 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.614, "step": 570 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9603, "step": 571 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0403, "step": 572 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7975, "step": 573 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6631, "step": 574 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.589, "step": 575 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8022, "step": 576 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8301, "step": 577 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.3195, "step": 578 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8354, "step": 579 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.994, "step": 580 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7999, "step": 581 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7224, "step": 582 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5131, "step": 583 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8155, "step": 584 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7564, "step": 585 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7305, "step": 586 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9284, "step": 587 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5877, "step": 588 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4468, "step": 589 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9086, "step": 590 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7976, "step": 591 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7157, "step": 592 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6894, "step": 593 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9683, "step": 594 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7784, "step": 595 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7333, "step": 596 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6739, "step": 597 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6285, "step": 598 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6718, "step": 599 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.0186, "step": 600 }, { "epoch": 0.1, "eval_loss": 0.7626925110816956, "eval_runtime": 154.285, "eval_samples_per_second": 6.482, "eval_steps_per_second": 3.241, "step": 600 }, { "epoch": 0.1, "mmlu_eval_accuracy": 0.5739124443829915, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.5625, "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 1.0, "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": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, "mmlu_eval_accuracy_moral_scenarios": 0.33, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.6571428571428571, "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, "mmlu_eval_accuracy_professional_law": 0.36470588235294116, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, "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": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.7368421052631579, "mmlu_loss": 1.3611424469605438, "step": 600 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7649, "step": 601 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8439, "step": 602 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6625, "step": 603 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7138, "step": 604 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.0882, "step": 605 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6645, "step": 606 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5514, "step": 607 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7202, "step": 608 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6851, "step": 609 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8283, "step": 610 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.9179, "step": 611 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5018, "step": 612 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7413, "step": 613 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7622, "step": 614 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6704, "step": 615 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8861, "step": 616 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.754, "step": 617 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6305, "step": 618 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8262, "step": 619 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8694, "step": 620 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.0702, "step": 621 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7398, "step": 622 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4069, "step": 623 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8257, "step": 624 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.9603, "step": 625 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6815, "step": 626 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8533, "step": 627 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7015, "step": 628 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.091, "step": 629 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8249, "step": 630 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7804, "step": 631 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7696, "step": 632 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8806, "step": 633 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7535, "step": 634 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4418, "step": 635 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.681, "step": 636 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4715, "step": 637 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8516, "step": 638 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6215, "step": 639 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8956, "step": 640 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7029, "step": 641 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8118, "step": 642 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8265, "step": 643 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5308, "step": 644 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8586, "step": 645 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8251, "step": 646 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5441, "step": 647 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6577, "step": 648 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8706, "step": 649 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8381, "step": 650 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5156, "step": 651 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.4198, "step": 652 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6821, "step": 653 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8475, "step": 654 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6056, "step": 655 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.831, "step": 656 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6549, "step": 657 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5931, "step": 658 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.933, "step": 659 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.9054, "step": 660 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7435, "step": 661 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7818, "step": 662 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6115, "step": 663 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7403, "step": 664 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.706, "step": 665 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7511, "step": 666 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.656, "step": 667 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7945, "step": 668 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8929, "step": 669 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9274, "step": 670 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7041, "step": 671 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7283, "step": 672 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6697, "step": 673 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.661, "step": 674 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6061, "step": 675 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9147, "step": 676 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.0251, "step": 677 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6071, "step": 678 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7758, "step": 679 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5814, "step": 680 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8894, "step": 681 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8366, "step": 682 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6844, "step": 683 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6585, "step": 684 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8466, "step": 685 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5699, "step": 686 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.013, "step": 687 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8022, "step": 688 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6595, "step": 689 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9447, "step": 690 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.917, "step": 691 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8301, "step": 692 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8226, "step": 693 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6857, "step": 694 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5391, "step": 695 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5481, "step": 696 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7975, "step": 697 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9211, "step": 698 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.911, "step": 699 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8313, "step": 700 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8024, "step": 701 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9439, "step": 702 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5354, "step": 703 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.524, "step": 704 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8467, "step": 705 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7506, "step": 706 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7316, "step": 707 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6796, "step": 708 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8779, "step": 709 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8306, "step": 710 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8698, "step": 711 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6363, "step": 712 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7834, "step": 713 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7316, "step": 714 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.952, "step": 715 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4127, "step": 716 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7766, "step": 717 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7948, "step": 718 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5199, "step": 719 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7438, "step": 720 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8175, "step": 721 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6426, "step": 722 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7031, "step": 723 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.653, "step": 724 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7793, "step": 725 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0525, "step": 726 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6476, "step": 727 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8734, "step": 728 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9121, "step": 729 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0478, "step": 730 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6575, "step": 731 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6332, "step": 732 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0282, "step": 733 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6824, "step": 734 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7251, "step": 735 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5192, "step": 736 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7092, "step": 737 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6552, "step": 738 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5919, "step": 739 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7939, "step": 740 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8481, "step": 741 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7284, "step": 742 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7777, "step": 743 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5947, "step": 744 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6418, "step": 745 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7822, "step": 746 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5194, "step": 747 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.489, "step": 748 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9699, "step": 749 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6178, "step": 750 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5176, "step": 751 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6342, "step": 752 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9355, "step": 753 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7633, "step": 754 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7402, "step": 755 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8135, "step": 756 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7504, "step": 757 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8733, "step": 758 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8479, "step": 759 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7039, "step": 760 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8246, "step": 761 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7279, "step": 762 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7369, "step": 763 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0336, "step": 764 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0098, "step": 765 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6738, "step": 766 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.63, "step": 767 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7611, "step": 768 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9598, "step": 769 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9261, "step": 770 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8723, "step": 771 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6239, "step": 772 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8307, "step": 773 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.667, "step": 774 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8626, "step": 775 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.4824, "step": 776 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7118, "step": 777 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7039, "step": 778 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6161, "step": 779 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5523, "step": 780 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7886, "step": 781 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8064, "step": 782 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5566, "step": 783 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8678, "step": 784 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7126, "step": 785 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.952, "step": 786 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8158, "step": 787 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7676, "step": 788 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0694, "step": 789 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5613, "step": 790 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0733, "step": 791 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6788, "step": 792 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7928, "step": 793 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8333, "step": 794 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7146, "step": 795 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7664, "step": 796 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7219, "step": 797 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8018, "step": 798 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.675, "step": 799 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5918, "step": 800 }, { "epoch": 0.13, "eval_loss": 0.7617537975311279, "eval_runtime": 154.2631, "eval_samples_per_second": 6.482, "eval_steps_per_second": 3.241, "step": 800 }, { "epoch": 0.13, "mmlu_eval_accuracy": 0.5872922906066248, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.8125, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.6363636363636364, "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.5, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.65625, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826, "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": 0.5, "mmlu_eval_accuracy_international_law": 1.0, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.37, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.7058823529411765, "mmlu_eval_accuracy_prehistory": 0.6857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, "mmlu_eval_accuracy_professional_law": 0.4, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.8636363636363636, "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 1.0242407779080438, "step": 800 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8107, "step": 801 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6407, "step": 802 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7415, "step": 803 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7378, "step": 804 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6629, "step": 805 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7462, "step": 806 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9125, "step": 807 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7096, "step": 808 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.703, "step": 809 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5804, "step": 810 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7866, "step": 811 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8951, "step": 812 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.813, "step": 813 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6953, "step": 814 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.651, "step": 815 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7986, "step": 816 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9811, "step": 817 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8377, "step": 818 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9368, "step": 819 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7183, "step": 820 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8537, "step": 821 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0181, "step": 822 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5691, "step": 823 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.199, "step": 824 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.3679, "step": 825 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.045, "step": 826 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7861, "step": 827 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7255, "step": 828 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0932, "step": 829 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8528, "step": 830 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5581, "step": 831 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8283, "step": 832 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5944, "step": 833 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6966, "step": 834 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7665, "step": 835 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0116, "step": 836 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7228, "step": 837 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7789, "step": 838 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5192, "step": 839 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7229, "step": 840 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.057, "step": 841 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7013, "step": 842 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5148, "step": 843 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5368, "step": 844 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8878, "step": 845 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6943, "step": 846 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5741, "step": 847 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7021, "step": 848 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6613, "step": 849 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0501, "step": 850 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7446, "step": 851 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4437, "step": 852 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8349, "step": 853 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8823, "step": 854 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5696, "step": 855 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8807, "step": 856 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6671, "step": 857 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9383, "step": 858 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8896, "step": 859 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8796, "step": 860 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8097, "step": 861 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7115, "step": 862 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8939, "step": 863 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6787, "step": 864 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.861, "step": 865 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0488, "step": 866 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6979, "step": 867 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6977, "step": 868 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9746, "step": 869 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5609, "step": 870 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8113, "step": 871 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.4947, "step": 872 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6667, "step": 873 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7609, "step": 874 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.815, "step": 875 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7587, "step": 876 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0033, "step": 877 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8344, "step": 878 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.812, "step": 879 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5491, "step": 880 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8529, "step": 881 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8703, "step": 882 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7708, "step": 883 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7366, "step": 884 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9312, "step": 885 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8048, "step": 886 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9063, "step": 887 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6456, "step": 888 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8037, "step": 889 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.897, "step": 890 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8118, "step": 891 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.649, "step": 892 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7075, "step": 893 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8717, "step": 894 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8776, "step": 895 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9043, "step": 896 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7116, "step": 897 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8618, "step": 898 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6707, "step": 899 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5633, "step": 900 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7632, "step": 901 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8768, "step": 902 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7266, "step": 903 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9536, "step": 904 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7713, "step": 905 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0155, "step": 906 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8227, "step": 907 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0527, "step": 908 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0576, "step": 909 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5916, "step": 910 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.918, "step": 911 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8394, "step": 912 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.768, "step": 913 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7095, "step": 914 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7751, "step": 915 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.4818, "step": 916 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5499, "step": 917 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.65, "step": 918 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7709, "step": 919 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6679, "step": 920 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5634, "step": 921 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8949, "step": 922 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9936, "step": 923 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7809, "step": 924 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7507, "step": 925 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7341, "step": 926 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8123, "step": 927 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7745, "step": 928 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6287, "step": 929 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7403, "step": 930 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.4978, "step": 931 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6485, "step": 932 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7637, "step": 933 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8769, "step": 934 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9506, "step": 935 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9899, "step": 936 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9188, "step": 937 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8676, "step": 938 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8056, "step": 939 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.796, "step": 940 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8504, "step": 941 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8365, "step": 942 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.997, "step": 943 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6999, "step": 944 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8226, "step": 945 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8924, "step": 946 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5977, "step": 947 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8066, "step": 948 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.559, "step": 949 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6792, "step": 950 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6678, "step": 951 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9455, "step": 952 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.813, "step": 953 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.709, "step": 954 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.4411, "step": 955 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5976, "step": 956 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6167, "step": 957 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.0464, "step": 958 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7666, "step": 959 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8555, "step": 960 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7945, "step": 961 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9957, "step": 962 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6997, "step": 963 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7236, "step": 964 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8987, "step": 965 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8459, "step": 966 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8705, "step": 967 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6856, "step": 968 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7904, "step": 969 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.0504, "step": 970 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.1144, "step": 971 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8621, "step": 972 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6855, "step": 973 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.668, "step": 974 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.65, "step": 975 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9222, "step": 976 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6795, "step": 977 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8696, "step": 978 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7621, "step": 979 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7361, "step": 980 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.6898, "step": 981 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.861, "step": 982 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.799, "step": 983 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.4427, "step": 984 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8071, "step": 985 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9412, "step": 986 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8704, "step": 987 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6032, "step": 988 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5677, "step": 989 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8321, "step": 990 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6739, "step": 991 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9696, "step": 992 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9999, "step": 993 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.804, "step": 994 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5002, "step": 995 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7638, "step": 996 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7855, "step": 997 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.0908, "step": 998 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.521, "step": 999 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6285, "step": 1000 }, { "epoch": 0.16, "eval_loss": 0.7611117959022522, "eval_runtime": 154.1303, "eval_samples_per_second": 6.488, "eval_steps_per_second": 3.244, "step": 1000 }, { "epoch": 0.16, "mmlu_eval_accuracy": 0.5720330330941478, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.8125, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.6363636363636364, "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.625, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, "mmlu_eval_accuracy_high_school_world_history": 0.8076923076923077, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 1.0, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, "mmlu_eval_accuracy_moral_scenarios": 0.31, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.6857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.4176470588235294, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.9090909090909091, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.3888888888888889, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 1.0829765211897793, "step": 1000 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5083, "step": 1001 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6439, "step": 1002 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.708, "step": 1003 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6507, "step": 1004 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8207, "step": 1005 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.0499, "step": 1006 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9243, "step": 1007 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8884, "step": 1008 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7976, "step": 1009 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7578, "step": 1010 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.57, "step": 1011 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8556, "step": 1012 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9228, "step": 1013 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6069, "step": 1014 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6216, "step": 1015 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8357, "step": 1016 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6499, "step": 1017 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.965, "step": 1018 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8562, "step": 1019 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.0042, "step": 1020 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.804, "step": 1021 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.0537, "step": 1022 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5496, "step": 1023 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.917, "step": 1024 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6217, "step": 1025 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8279, "step": 1026 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8358, "step": 1027 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7981, "step": 1028 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5217, "step": 1029 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9458, "step": 1030 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8484, "step": 1031 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.0297, "step": 1032 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6735, "step": 1033 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5965, "step": 1034 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.1115, "step": 1035 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8756, "step": 1036 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8977, "step": 1037 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6413, "step": 1038 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7422, "step": 1039 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.649, "step": 1040 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9056, "step": 1041 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7432, "step": 1042 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6264, "step": 1043 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9404, "step": 1044 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8737, "step": 1045 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7109, "step": 1046 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6366, "step": 1047 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9831, "step": 1048 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.006, "step": 1049 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0482, "step": 1050 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7081, "step": 1051 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7012, "step": 1052 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8931, "step": 1053 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.1088, "step": 1054 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7924, "step": 1055 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7294, "step": 1056 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6729, "step": 1057 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0284, "step": 1058 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.4713, "step": 1059 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8445, "step": 1060 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9508, "step": 1061 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7136, "step": 1062 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7681, "step": 1063 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7761, "step": 1064 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7889, "step": 1065 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8768, "step": 1066 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7372, "step": 1067 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.595, "step": 1068 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7888, "step": 1069 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6057, "step": 1070 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6359, "step": 1071 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.69, "step": 1072 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.2746, "step": 1073 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6448, "step": 1074 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7123, "step": 1075 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8187, "step": 1076 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6909, "step": 1077 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0334, "step": 1078 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8249, "step": 1079 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.1525, "step": 1080 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.831, "step": 1081 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.826, "step": 1082 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6958, "step": 1083 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8645, "step": 1084 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9168, "step": 1085 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7517, "step": 1086 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7238, "step": 1087 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9304, "step": 1088 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8474, "step": 1089 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.5822, "step": 1090 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9695, "step": 1091 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.5801, "step": 1092 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0942, "step": 1093 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6813, "step": 1094 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8713, "step": 1095 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6868, "step": 1096 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.526, "step": 1097 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8102, "step": 1098 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.612, "step": 1099 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.3532, "step": 1100 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8662, "step": 1101 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.5279, "step": 1102 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6963, "step": 1103 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8511, "step": 1104 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9284, "step": 1105 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.4843, "step": 1106 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8939, "step": 1107 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.598, "step": 1108 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7764, "step": 1109 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7816, "step": 1110 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.596, "step": 1111 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6043, "step": 1112 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6996, "step": 1113 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9477, "step": 1114 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6764, "step": 1115 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7908, "step": 1116 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8713, "step": 1117 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6036, "step": 1118 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.759, "step": 1119 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8097, "step": 1120 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7261, "step": 1121 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.5751, "step": 1122 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7934, "step": 1123 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8128, "step": 1124 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6994, "step": 1125 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8439, "step": 1126 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.5068, "step": 1127 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.666, "step": 1128 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6832, "step": 1129 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6607, "step": 1130 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6883, "step": 1131 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7264, "step": 1132 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.0501, "step": 1133 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6715, "step": 1134 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8646, "step": 1135 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6204, "step": 1136 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9054, "step": 1137 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7901, "step": 1138 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.4973, "step": 1139 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.4846, "step": 1140 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7691, "step": 1141 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6297, "step": 1142 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.5969, "step": 1143 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8038, "step": 1144 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8255, "step": 1145 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.5637, "step": 1146 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.5684, "step": 1147 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7786, "step": 1148 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6403, "step": 1149 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7047, "step": 1150 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9221, "step": 1151 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.0261, "step": 1152 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6788, "step": 1153 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8017, "step": 1154 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8608, "step": 1155 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7332, "step": 1156 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8449, "step": 1157 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7602, "step": 1158 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6426, "step": 1159 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8522, "step": 1160 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6838, "step": 1161 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6491, "step": 1162 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6799, "step": 1163 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6451, "step": 1164 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.5525, "step": 1165 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.552, "step": 1166 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.5075, "step": 1167 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7761, "step": 1168 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7074, "step": 1169 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8201, "step": 1170 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7746, "step": 1171 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6995, "step": 1172 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9124, "step": 1173 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6969, "step": 1174 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7599, "step": 1175 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7481, "step": 1176 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7356, "step": 1177 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6419, "step": 1178 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.5873, "step": 1179 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8675, "step": 1180 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7034, "step": 1181 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7811, "step": 1182 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.892, "step": 1183 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.661, "step": 1184 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6629, "step": 1185 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6162, "step": 1186 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6426, "step": 1187 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6767, "step": 1188 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9001, "step": 1189 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7016, "step": 1190 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8113, "step": 1191 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8778, "step": 1192 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8233, "step": 1193 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7506, "step": 1194 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9008, "step": 1195 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.5975, "step": 1196 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8408, "step": 1197 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.782, "step": 1198 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6192, "step": 1199 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7867, "step": 1200 }, { "epoch": 0.19, "eval_loss": 0.7628328204154968, "eval_runtime": 154.2724, "eval_samples_per_second": 6.482, "eval_steps_per_second": 3.241, "step": 1200 }, { "epoch": 0.19, "mmlu_eval_accuracy": 0.5526492333429972, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.09090909090909091, "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.6363636363636364, "mmlu_eval_accuracy_conceptual_physics": 0.5, "mmlu_eval_accuracy_econometrics": 0.5833333333333334, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.65625, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "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": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.6521739130434783, "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": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.41, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.6176470588235294, "mmlu_eval_accuracy_prehistory": 0.7428571428571429, "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, "mmlu_eval_accuracy_professional_law": 0.38823529411764707, "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.8636363636363636, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.3888888888888889, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 1.1069604557970485, "step": 1200 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6822, "step": 1201 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7045, "step": 1202 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9544, "step": 1203 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9037, "step": 1204 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7725, "step": 1205 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7645, "step": 1206 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.0015, "step": 1207 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.4904, "step": 1208 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7828, "step": 1209 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6239, "step": 1210 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9634, "step": 1211 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8404, "step": 1212 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7877, "step": 1213 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7911, "step": 1214 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7314, "step": 1215 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9135, "step": 1216 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6023, "step": 1217 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.878, "step": 1218 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6571, "step": 1219 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7169, "step": 1220 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7158, "step": 1221 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7063, "step": 1222 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.0282, "step": 1223 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9687, "step": 1224 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8286, "step": 1225 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8737, "step": 1226 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.3287, "step": 1227 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7147, "step": 1228 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6403, "step": 1229 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.5328, "step": 1230 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7683, "step": 1231 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6425, "step": 1232 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7346, "step": 1233 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.585, "step": 1234 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8957, "step": 1235 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6563, "step": 1236 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5175, "step": 1237 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6291, "step": 1238 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8535, "step": 1239 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6322, "step": 1240 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8428, "step": 1241 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6081, "step": 1242 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.809, "step": 1243 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0232, "step": 1244 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9767, "step": 1245 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7531, "step": 1246 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8714, "step": 1247 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7355, "step": 1248 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5816, "step": 1249 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9343, "step": 1250 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.679, "step": 1251 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7555, "step": 1252 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8715, "step": 1253 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7813, "step": 1254 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8462, "step": 1255 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8871, "step": 1256 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6354, "step": 1257 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5855, "step": 1258 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.665, "step": 1259 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6429, "step": 1260 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6338, "step": 1261 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5198, "step": 1262 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.645, "step": 1263 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7696, "step": 1264 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5822, "step": 1265 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5692, "step": 1266 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7078, "step": 1267 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7741, "step": 1268 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8329, "step": 1269 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.722, "step": 1270 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1606, "step": 1271 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6494, "step": 1272 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.5506, "step": 1273 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7063, "step": 1274 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9833, "step": 1275 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8902, "step": 1276 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8042, "step": 1277 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6832, "step": 1278 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7768, "step": 1279 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9879, "step": 1280 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9687, "step": 1281 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8131, "step": 1282 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7797, "step": 1283 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8015, "step": 1284 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6778, "step": 1285 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6738, "step": 1286 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0708, "step": 1287 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9313, "step": 1288 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.722, "step": 1289 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.852, "step": 1290 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7903, "step": 1291 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7278, "step": 1292 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0367, "step": 1293 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9967, "step": 1294 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.504, "step": 1295 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8785, "step": 1296 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9103, "step": 1297 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9122, "step": 1298 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7115, "step": 1299 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8148, "step": 1300 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8752, "step": 1301 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6441, "step": 1302 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.914, "step": 1303 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8427, "step": 1304 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.4984, "step": 1305 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6201, "step": 1306 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0205, "step": 1307 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9737, "step": 1308 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9077, "step": 1309 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5232, "step": 1310 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7412, "step": 1311 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9121, "step": 1312 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8045, "step": 1313 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6727, "step": 1314 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8533, "step": 1315 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5179, "step": 1316 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8021, "step": 1317 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7247, "step": 1318 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6177, "step": 1319 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6191, "step": 1320 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0132, "step": 1321 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7799, "step": 1322 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7236, "step": 1323 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.75, "step": 1324 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6875, "step": 1325 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.424, "step": 1326 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8701, "step": 1327 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9008, "step": 1328 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7257, "step": 1329 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8698, "step": 1330 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0346, "step": 1331 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5721, "step": 1332 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6213, "step": 1333 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7335, "step": 1334 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9256, "step": 1335 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9351, "step": 1336 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9228, "step": 1337 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9587, "step": 1338 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8301, "step": 1339 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8375, "step": 1340 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7681, "step": 1341 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7978, "step": 1342 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6247, "step": 1343 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9125, "step": 1344 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7659, "step": 1345 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6221, "step": 1346 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6496, "step": 1347 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9204, "step": 1348 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7883, "step": 1349 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7252, "step": 1350 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6306, "step": 1351 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7818, "step": 1352 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5547, "step": 1353 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9158, "step": 1354 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6598, "step": 1355 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9001, "step": 1356 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6183, "step": 1357 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.666, "step": 1358 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.5904, "step": 1359 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8988, "step": 1360 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.722, "step": 1361 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.725, "step": 1362 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8606, "step": 1363 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6777, "step": 1364 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6649, "step": 1365 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7578, "step": 1366 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8402, "step": 1367 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7034, "step": 1368 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8094, "step": 1369 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8263, "step": 1370 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8738, "step": 1371 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.852, "step": 1372 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.5807, "step": 1373 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7218, "step": 1374 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6155, "step": 1375 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.4623, "step": 1376 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6696, "step": 1377 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.5215, "step": 1378 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8717, "step": 1379 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7495, "step": 1380 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8423, "step": 1381 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6143, "step": 1382 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7468, "step": 1383 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6096, "step": 1384 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7791, "step": 1385 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7397, "step": 1386 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.716, "step": 1387 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0457, "step": 1388 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6089, "step": 1389 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.57, "step": 1390 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.5875, "step": 1391 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7004, "step": 1392 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.1181, "step": 1393 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9674, "step": 1394 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.798, "step": 1395 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8517, "step": 1396 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7023, "step": 1397 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.4692, "step": 1398 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.4172, "step": 1399 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.5762, "step": 1400 }, { "epoch": 0.22, "eval_loss": 0.7623283267021179, "eval_runtime": 154.2554, "eval_samples_per_second": 6.483, "eval_steps_per_second": 3.241, "step": 1400 }, { "epoch": 0.22, "mmlu_eval_accuracy": 0.5787296129279738, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.6363636363636364, "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, "mmlu_eval_accuracy_econometrics": 0.5833333333333334, "mmlu_eval_accuracy_electrical_engineering": 0.625, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "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": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, "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": 0.5, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, "mmlu_eval_accuracy_moral_scenarios": 0.32, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.6571428571428571, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.38235294117647056, "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.8636363636363636, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 1.025588203853789, "step": 1400 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.5969, "step": 1401 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7459, "step": 1402 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7238, "step": 1403 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7398, "step": 1404 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0549, "step": 1405 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8105, "step": 1406 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0793, "step": 1407 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6474, "step": 1408 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.544, "step": 1409 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7099, "step": 1410 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9871, "step": 1411 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7438, "step": 1412 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8271, "step": 1413 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6969, "step": 1414 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.2439, "step": 1415 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6708, "step": 1416 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8358, "step": 1417 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6073, "step": 1418 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9793, "step": 1419 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.4626, "step": 1420 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.5937, "step": 1421 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7985, "step": 1422 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9116, "step": 1423 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.178, "step": 1424 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.1202, "step": 1425 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6829, "step": 1426 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9036, "step": 1427 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6682, "step": 1428 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8026, "step": 1429 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.61, "step": 1430 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6893, "step": 1431 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6764, "step": 1432 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.2329, "step": 1433 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.5224, "step": 1434 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7391, "step": 1435 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6888, "step": 1436 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8785, "step": 1437 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.774, "step": 1438 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8765, "step": 1439 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.0062, "step": 1440 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9201, "step": 1441 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6567, "step": 1442 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8277, "step": 1443 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8031, "step": 1444 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8694, "step": 1445 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7207, "step": 1446 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7092, "step": 1447 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6323, "step": 1448 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7347, "step": 1449 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8134, "step": 1450 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8543, "step": 1451 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.4648, "step": 1452 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.753, "step": 1453 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6454, "step": 1454 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.0244, "step": 1455 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.5861, "step": 1456 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6535, "step": 1457 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6994, "step": 1458 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.007, "step": 1459 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.0118, "step": 1460 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8245, "step": 1461 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7068, "step": 1462 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6715, "step": 1463 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8584, "step": 1464 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6753, "step": 1465 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.4996, "step": 1466 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.676, "step": 1467 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8491, "step": 1468 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.777, "step": 1469 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.3799, "step": 1470 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8948, "step": 1471 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9483, "step": 1472 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6825, "step": 1473 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9625, "step": 1474 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6677, "step": 1475 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8349, "step": 1476 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.684, "step": 1477 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.748, "step": 1478 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7739, "step": 1479 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9233, "step": 1480 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.0774, "step": 1481 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.724, "step": 1482 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9198, "step": 1483 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.4459, "step": 1484 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6633, "step": 1485 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8867, "step": 1486 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8043, "step": 1487 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.646, "step": 1488 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8428, "step": 1489 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.687, "step": 1490 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8191, "step": 1491 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6147, "step": 1492 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8306, "step": 1493 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7764, "step": 1494 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7975, "step": 1495 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8551, "step": 1496 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9838, "step": 1497 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8893, "step": 1498 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8964, "step": 1499 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7415, "step": 1500 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8064, "step": 1501 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6391, "step": 1502 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.5944, "step": 1503 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6362, "step": 1504 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8786, "step": 1505 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8219, "step": 1506 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9742, "step": 1507 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.853, "step": 1508 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0, "step": 1509 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6366, "step": 1510 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8813, "step": 1511 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8071, "step": 1512 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9337, "step": 1513 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.83, "step": 1514 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8434, "step": 1515 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8341, "step": 1516 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6646, "step": 1517 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8447, "step": 1518 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8709, "step": 1519 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6247, "step": 1520 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.01, "step": 1521 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8959, "step": 1522 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7171, "step": 1523 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8236, "step": 1524 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7977, "step": 1525 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.5438, "step": 1526 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9681, "step": 1527 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.78, "step": 1528 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6081, "step": 1529 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7441, "step": 1530 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.834, "step": 1531 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6697, "step": 1532 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.732, "step": 1533 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6248, "step": 1534 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6629, "step": 1535 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8257, "step": 1536 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7329, "step": 1537 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7503, "step": 1538 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8313, "step": 1539 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.5046, "step": 1540 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6896, "step": 1541 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7487, "step": 1542 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6828, "step": 1543 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6396, "step": 1544 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.804, "step": 1545 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8223, "step": 1546 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7406, "step": 1547 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8508, "step": 1548 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8585, "step": 1549 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7699, "step": 1550 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.793, "step": 1551 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.5773, "step": 1552 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8516, "step": 1553 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6871, "step": 1554 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6576, "step": 1555 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.0364, "step": 1556 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6151, "step": 1557 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7032, "step": 1558 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.0173, "step": 1559 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7998, "step": 1560 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9026, "step": 1561 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8312, "step": 1562 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.767, "step": 1563 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.852, "step": 1564 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7136, "step": 1565 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.575, "step": 1566 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6446, "step": 1567 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7249, "step": 1568 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9467, "step": 1569 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.834, "step": 1570 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8401, "step": 1571 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.5554, "step": 1572 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.667, "step": 1573 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.4813, "step": 1574 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8755, "step": 1575 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.748, "step": 1576 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7161, "step": 1577 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8986, "step": 1578 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7766, "step": 1579 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7747, "step": 1580 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7702, "step": 1581 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9773, "step": 1582 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.589, "step": 1583 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8247, "step": 1584 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6464, "step": 1585 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7046, "step": 1586 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6796, "step": 1587 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8656, "step": 1588 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8169, "step": 1589 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7882, "step": 1590 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9293, "step": 1591 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7895, "step": 1592 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6302, "step": 1593 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6562, "step": 1594 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.1178, "step": 1595 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7009, "step": 1596 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7053, "step": 1597 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8581, "step": 1598 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8414, "step": 1599 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.592, "step": 1600 }, { "epoch": 0.25, "eval_loss": 0.7640870213508606, "eval_runtime": 154.1358, "eval_samples_per_second": 6.488, "eval_steps_per_second": 3.244, "step": 1600 }, { "epoch": 0.25, "mmlu_eval_accuracy": 0.5733642244334194, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.625, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.25, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.7941176470588235, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, "mmlu_eval_accuracy_professional_law": 0.3941176470588235, "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.8636363636363636, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 1.0121555119441632, "step": 1600 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6559, "step": 1601 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7985, "step": 1602 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6744, "step": 1603 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6748, "step": 1604 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.3479, "step": 1605 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.5993, "step": 1606 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8035, "step": 1607 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9557, "step": 1608 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7531, "step": 1609 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6486, "step": 1610 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9706, "step": 1611 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.5581, "step": 1612 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.919, "step": 1613 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9466, "step": 1614 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8898, "step": 1615 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7434, "step": 1616 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7921, "step": 1617 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.5485, "step": 1618 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6055, "step": 1619 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7697, "step": 1620 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6862, "step": 1621 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.5467, "step": 1622 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8598, "step": 1623 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9732, "step": 1624 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9113, "step": 1625 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8042, "step": 1626 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7709, "step": 1627 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9817, "step": 1628 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.83, "step": 1629 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6952, "step": 1630 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.81, "step": 1631 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9719, "step": 1632 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0444, "step": 1633 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7963, "step": 1634 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6321, "step": 1635 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7989, "step": 1636 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6231, "step": 1637 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7315, "step": 1638 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6945, "step": 1639 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7056, "step": 1640 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7879, "step": 1641 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8116, "step": 1642 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9541, "step": 1643 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7521, "step": 1644 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6246, "step": 1645 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.1269, "step": 1646 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7147, "step": 1647 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.5071, "step": 1648 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6684, "step": 1649 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8782, "step": 1650 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6363, "step": 1651 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0681, "step": 1652 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8154, "step": 1653 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9955, "step": 1654 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.718, "step": 1655 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8424, "step": 1656 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7333, "step": 1657 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8648, "step": 1658 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6718, "step": 1659 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9124, "step": 1660 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6898, "step": 1661 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8322, "step": 1662 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9424, "step": 1663 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7781, "step": 1664 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8545, "step": 1665 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7686, "step": 1666 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.432, "step": 1667 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9669, "step": 1668 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6891, "step": 1669 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.5121, "step": 1670 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7999, "step": 1671 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0112, "step": 1672 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6336, "step": 1673 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6391, "step": 1674 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8854, "step": 1675 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9097, "step": 1676 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7444, "step": 1677 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9516, "step": 1678 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.4854, "step": 1679 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7281, "step": 1680 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.964, "step": 1681 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.007, "step": 1682 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9546, "step": 1683 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6811, "step": 1684 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7161, "step": 1685 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.726, "step": 1686 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6996, "step": 1687 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.0145, "step": 1688 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.889, "step": 1689 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.0023, "step": 1690 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.656, "step": 1691 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6975, "step": 1692 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8756, "step": 1693 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9128, "step": 1694 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8657, "step": 1695 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.4795, "step": 1696 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9357, "step": 1697 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6566, "step": 1698 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8486, "step": 1699 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.861, "step": 1700 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6127, "step": 1701 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6746, "step": 1702 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6094, "step": 1703 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.589, "step": 1704 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6729, "step": 1705 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8266, "step": 1706 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8837, "step": 1707 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8145, "step": 1708 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.908, "step": 1709 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6607, "step": 1710 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7495, "step": 1711 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8221, "step": 1712 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8076, "step": 1713 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6127, "step": 1714 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8426, "step": 1715 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8807, "step": 1716 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.3035, "step": 1717 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6628, "step": 1718 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.0253, "step": 1719 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9348, "step": 1720 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.2152, "step": 1721 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9956, "step": 1722 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9266, "step": 1723 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6141, "step": 1724 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.0339, "step": 1725 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8243, "step": 1726 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9482, "step": 1727 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8376, "step": 1728 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6147, "step": 1729 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8381, "step": 1730 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.5855, "step": 1731 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8992, "step": 1732 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.763, "step": 1733 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8548, "step": 1734 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8334, "step": 1735 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6839, "step": 1736 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7595, "step": 1737 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6895, "step": 1738 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6316, "step": 1739 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5825, "step": 1740 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.0002, "step": 1741 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7932, "step": 1742 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9761, "step": 1743 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9799, "step": 1744 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.884, "step": 1745 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.0672, "step": 1746 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8691, "step": 1747 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7545, "step": 1748 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9595, "step": 1749 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8997, "step": 1750 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8276, "step": 1751 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6647, "step": 1752 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6178, "step": 1753 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6465, "step": 1754 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8207, "step": 1755 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7375, "step": 1756 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.817, "step": 1757 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7523, "step": 1758 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7436, "step": 1759 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.862, "step": 1760 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6027, "step": 1761 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.0993, "step": 1762 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7264, "step": 1763 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7312, "step": 1764 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5326, "step": 1765 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8302, "step": 1766 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.793, "step": 1767 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7855, "step": 1768 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9478, "step": 1769 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.046, "step": 1770 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7903, "step": 1771 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7707, "step": 1772 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6476, "step": 1773 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6649, "step": 1774 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7747, "step": 1775 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.666, "step": 1776 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.928, "step": 1777 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7811, "step": 1778 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7523, "step": 1779 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6443, "step": 1780 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8331, "step": 1781 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9173, "step": 1782 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.0896, "step": 1783 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8146, "step": 1784 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5829, "step": 1785 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7593, "step": 1786 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.88, "step": 1787 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9385, "step": 1788 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7955, "step": 1789 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.796, "step": 1790 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7761, "step": 1791 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5717, "step": 1792 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8345, "step": 1793 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6638, "step": 1794 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6079, "step": 1795 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.4035, "step": 1796 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7598, "step": 1797 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7892, "step": 1798 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7325, "step": 1799 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7729, "step": 1800 }, { "epoch": 0.29, "eval_loss": 0.7652225494384766, "eval_runtime": 154.2033, "eval_samples_per_second": 6.485, "eval_steps_per_second": 3.242, "step": 1800 }, { "epoch": 0.29, "mmlu_eval_accuracy": 0.5765095479811685, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, "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": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.6363636363636364, "mmlu_eval_accuracy_conceptual_physics": 0.5, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.625, "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "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": 0.27586206896551724, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.25, "mmlu_eval_accuracy_nutrition": 0.5757575757575758, "mmlu_eval_accuracy_philosophy": 0.7647058823529411, "mmlu_eval_accuracy_prehistory": 0.6571428571428571, "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.8636363636363636, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.8947368421052632, "mmlu_loss": 1.0694255531612327, "step": 1800 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7147, "step": 1801 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.0304, "step": 1802 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8384, "step": 1803 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7464, "step": 1804 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.043, "step": 1805 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.619, "step": 1806 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.0519, "step": 1807 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8651, "step": 1808 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7617, "step": 1809 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.755, "step": 1810 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8388, "step": 1811 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6463, "step": 1812 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8868, "step": 1813 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7814, "step": 1814 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.5981, "step": 1815 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9583, "step": 1816 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8032, "step": 1817 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6669, "step": 1818 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6046, "step": 1819 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8775, "step": 1820 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8444, "step": 1821 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.08, "step": 1822 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9219, "step": 1823 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7277, "step": 1824 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.5488, "step": 1825 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7931, "step": 1826 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6865, "step": 1827 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8848, "step": 1828 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6987, "step": 1829 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7248, "step": 1830 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6772, "step": 1831 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.664, "step": 1832 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9481, "step": 1833 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9042, "step": 1834 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6413, "step": 1835 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8847, "step": 1836 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8263, "step": 1837 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9214, "step": 1838 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7832, "step": 1839 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.4327, "step": 1840 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.5015, "step": 1841 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.0174, "step": 1842 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.3996, "step": 1843 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.0151, "step": 1844 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.5216, "step": 1845 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6654, "step": 1846 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.892, "step": 1847 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7731, "step": 1848 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6815, "step": 1849 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.899, "step": 1850 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7405, "step": 1851 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.67, "step": 1852 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8762, "step": 1853 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7586, "step": 1854 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8168, "step": 1855 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.4994, "step": 1856 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9621, "step": 1857 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8475, "step": 1858 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6501, "step": 1859 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.0417, "step": 1860 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8353, "step": 1861 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8371, "step": 1862 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8917, "step": 1863 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.5673, "step": 1864 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.4438, "step": 1865 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6648, "step": 1866 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9028, "step": 1867 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.485, "step": 1868 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7746, "step": 1869 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.5647, "step": 1870 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7399, "step": 1871 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8811, "step": 1872 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9059, "step": 1873 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6961, "step": 1874 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.866, "step": 1875 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7398, "step": 1876 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8512, "step": 1877 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.71, "step": 1878 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7673, "step": 1879 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8134, "step": 1880 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.5752, "step": 1881 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.5567, "step": 1882 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6224, "step": 1883 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7246, "step": 1884 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6946, "step": 1885 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.0884, "step": 1886 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.4814, "step": 1887 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9101, "step": 1888 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7159, "step": 1889 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7868, "step": 1890 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6432, "step": 1891 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6705, "step": 1892 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9532, "step": 1893 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9045, "step": 1894 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8484, "step": 1895 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9325, "step": 1896 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7718, "step": 1897 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.0328, "step": 1898 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6488, "step": 1899 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6258, "step": 1900 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.795, "step": 1901 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.1184, "step": 1902 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.0038, "step": 1903 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.768, "step": 1904 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6593, "step": 1905 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7868, "step": 1906 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.714, "step": 1907 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8889, "step": 1908 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9018, "step": 1909 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6885, "step": 1910 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6492, "step": 1911 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7973, "step": 1912 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7971, "step": 1913 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8042, "step": 1914 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.83, "step": 1915 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6872, "step": 1916 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.4021, "step": 1917 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9661, "step": 1918 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6517, "step": 1919 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7495, "step": 1920 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6288, "step": 1921 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7526, "step": 1922 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.5063, "step": 1923 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.9237, "step": 1924 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.0143, "step": 1925 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.78, "step": 1926 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5635, "step": 1927 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7856, "step": 1928 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9029, "step": 1929 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5173, "step": 1930 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5283, "step": 1931 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7275, "step": 1932 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6767, "step": 1933 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7294, "step": 1934 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8673, "step": 1935 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9561, "step": 1936 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.4736, "step": 1937 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.808, "step": 1938 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7346, "step": 1939 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.57, "step": 1940 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7706, "step": 1941 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8935, "step": 1942 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8411, "step": 1943 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8875, "step": 1944 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8127, "step": 1945 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.0097, "step": 1946 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.3324, "step": 1947 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8268, "step": 1948 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6523, "step": 1949 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.105, "step": 1950 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.3956, "step": 1951 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6284, "step": 1952 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7074, "step": 1953 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7326, "step": 1954 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8133, "step": 1955 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9392, "step": 1956 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.04, "step": 1957 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.4766, "step": 1958 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5991, "step": 1959 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8457, "step": 1960 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5729, "step": 1961 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8705, "step": 1962 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6766, "step": 1963 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.025, "step": 1964 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7946, "step": 1965 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6772, "step": 1966 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7162, "step": 1967 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8889, "step": 1968 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8136, "step": 1969 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7546, "step": 1970 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7316, "step": 1971 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8696, "step": 1972 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6295, "step": 1973 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7586, "step": 1974 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6214, "step": 1975 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5991, "step": 1976 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7149, "step": 1977 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.4713, "step": 1978 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.0361, "step": 1979 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9754, "step": 1980 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6092, "step": 1981 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8828, "step": 1982 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8207, "step": 1983 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7892, "step": 1984 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6253, "step": 1985 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6763, "step": 1986 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7041, "step": 1987 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7459, "step": 1988 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7447, "step": 1989 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8614, "step": 1990 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.4262, "step": 1991 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5744, "step": 1992 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6088, "step": 1993 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8663, "step": 1994 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7722, "step": 1995 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6613, "step": 1996 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.739, "step": 1997 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6053, "step": 1998 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9412, "step": 1999 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.898, "step": 2000 }, { "epoch": 0.32, "eval_loss": 0.7676985859870911, "eval_runtime": 154.2315, "eval_samples_per_second": 6.484, "eval_steps_per_second": 3.242, "step": 2000 }, { "epoch": 0.32, "mmlu_eval_accuracy": 0.5640864599418394, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.6428571428571429, "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": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, "mmlu_eval_accuracy_econometrics": 0.3333333333333333, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.5, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, "mmlu_eval_accuracy_high_school_mathematics": 0.41379310344827586, "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, "mmlu_eval_accuracy_moral_scenarios": 0.24, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "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": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.9545454545454546, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 0.9417161462201151, "step": 2000 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0652, "step": 2001 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6441, "step": 2002 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5691, "step": 2003 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9025, "step": 2004 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6908, "step": 2005 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9432, "step": 2006 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.016, "step": 2007 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7493, "step": 2008 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8798, "step": 2009 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7964, "step": 2010 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7596, "step": 2011 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8049, "step": 2012 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7973, "step": 2013 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8451, "step": 2014 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8663, "step": 2015 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0493, "step": 2016 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9308, "step": 2017 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6604, "step": 2018 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6542, "step": 2019 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8833, "step": 2020 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9241, "step": 2021 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8019, "step": 2022 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0525, "step": 2023 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.872, "step": 2024 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6902, "step": 2025 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8435, "step": 2026 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7016, "step": 2027 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.4241, "step": 2028 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0152, "step": 2029 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5511, "step": 2030 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9795, "step": 2031 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7328, "step": 2032 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8715, "step": 2033 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0683, "step": 2034 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8409, "step": 2035 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0185, "step": 2036 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8354, "step": 2037 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6793, "step": 2038 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7087, "step": 2039 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7619, "step": 2040 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5963, "step": 2041 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7553, "step": 2042 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.659, "step": 2043 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6728, "step": 2044 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8379, "step": 2045 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6598, "step": 2046 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6601, "step": 2047 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9268, "step": 2048 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9531, "step": 2049 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5028, "step": 2050 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7423, "step": 2051 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7263, "step": 2052 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9351, "step": 2053 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7907, "step": 2054 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7326, "step": 2055 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8443, "step": 2056 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7369, "step": 2057 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9302, "step": 2058 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.5179, "step": 2059 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9291, "step": 2060 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8492, "step": 2061 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7705, "step": 2062 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.5731, "step": 2063 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.771, "step": 2064 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7434, "step": 2065 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.534, "step": 2066 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8025, "step": 2067 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.5734, "step": 2068 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7774, "step": 2069 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8474, "step": 2070 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9787, "step": 2071 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6986, "step": 2072 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9275, "step": 2073 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8907, "step": 2074 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8997, "step": 2075 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7105, "step": 2076 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8208, "step": 2077 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7888, "step": 2078 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7929, "step": 2079 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8126, "step": 2080 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.615, "step": 2081 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.617, "step": 2082 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.709, "step": 2083 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9028, "step": 2084 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9645, "step": 2085 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8937, "step": 2086 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.54, "step": 2087 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7861, "step": 2088 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6034, "step": 2089 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9034, "step": 2090 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8313, "step": 2091 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.767, "step": 2092 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8149, "step": 2093 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.5977, "step": 2094 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7858, "step": 2095 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0866, "step": 2096 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.5668, "step": 2097 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9827, "step": 2098 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8649, "step": 2099 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7533, "step": 2100 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.5509, "step": 2101 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.5933, "step": 2102 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7692, "step": 2103 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8846, "step": 2104 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9229, "step": 2105 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6652, "step": 2106 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9431, "step": 2107 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.081, "step": 2108 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6832, "step": 2109 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7301, "step": 2110 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7732, "step": 2111 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7425, "step": 2112 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7916, "step": 2113 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0206, "step": 2114 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.611, "step": 2115 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8323, "step": 2116 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8381, "step": 2117 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6893, "step": 2118 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.859, "step": 2119 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7926, "step": 2120 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.767, "step": 2121 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7605, "step": 2122 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7102, "step": 2123 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7836, "step": 2124 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6004, "step": 2125 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.5727, "step": 2126 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7718, "step": 2127 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6432, "step": 2128 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.0314, "step": 2129 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7587, "step": 2130 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7912, "step": 2131 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9535, "step": 2132 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9097, "step": 2133 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7309, "step": 2134 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6992, "step": 2135 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8927, "step": 2136 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9019, "step": 2137 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7816, "step": 2138 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9644, "step": 2139 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6109, "step": 2140 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6592, "step": 2141 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6437, "step": 2142 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6275, "step": 2143 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7148, "step": 2144 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9256, "step": 2145 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8743, "step": 2146 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6766, "step": 2147 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8018, "step": 2148 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.0416, "step": 2149 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7689, "step": 2150 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7215, "step": 2151 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6718, "step": 2152 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7038, "step": 2153 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7561, "step": 2154 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7193, "step": 2155 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.598, "step": 2156 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.0876, "step": 2157 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8568, "step": 2158 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.653, "step": 2159 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9346, "step": 2160 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7127, "step": 2161 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7315, "step": 2162 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9204, "step": 2163 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.07, "step": 2164 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8526, "step": 2165 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6097, "step": 2166 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6705, "step": 2167 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6499, "step": 2168 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8525, "step": 2169 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8086, "step": 2170 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7178, "step": 2171 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7612, "step": 2172 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7683, "step": 2173 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.5875, "step": 2174 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7196, "step": 2175 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7607, "step": 2176 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7643, "step": 2177 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.0722, "step": 2178 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6848, "step": 2179 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8905, "step": 2180 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8731, "step": 2181 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6571, "step": 2182 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.0597, "step": 2183 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6344, "step": 2184 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6784, "step": 2185 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.761, "step": 2186 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.4145, "step": 2187 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7603, "step": 2188 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7521, "step": 2189 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5752, "step": 2190 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6411, "step": 2191 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8559, "step": 2192 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7468, "step": 2193 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.646, "step": 2194 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.617, "step": 2195 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7024, "step": 2196 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.763, "step": 2197 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7023, "step": 2198 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9352, "step": 2199 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8028, "step": 2200 }, { "epoch": 0.35, "eval_loss": 0.7651883363723755, "eval_runtime": 154.1633, "eval_samples_per_second": 6.487, "eval_steps_per_second": 3.243, "step": 2200 }, { "epoch": 0.35, "mmlu_eval_accuracy": 0.5660662448609947, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "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": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.5, "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.2, "mmlu_eval_accuracy_high_school_biology": 0.40625, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "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": 0.27586206896551724, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "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": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 1.0, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, "mmlu_eval_accuracy_moral_scenarios": 0.31, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.7058823529411765, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.9090909090909091, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 1.0032775492332, "step": 2200 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9028, "step": 2201 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5806, "step": 2202 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6339, "step": 2203 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7902, "step": 2204 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5445, "step": 2205 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8133, "step": 2206 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6843, "step": 2207 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6008, "step": 2208 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6662, "step": 2209 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9754, "step": 2210 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.4907, "step": 2211 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9172, "step": 2212 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.3219, "step": 2213 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7469, "step": 2214 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9137, "step": 2215 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7453, "step": 2216 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7488, "step": 2217 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6764, "step": 2218 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7225, "step": 2219 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6804, "step": 2220 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5959, "step": 2221 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9529, "step": 2222 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7674, "step": 2223 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5764, "step": 2224 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9934, "step": 2225 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6782, "step": 2226 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6018, "step": 2227 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7257, "step": 2228 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7192, "step": 2229 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6034, "step": 2230 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.0081, "step": 2231 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6415, "step": 2232 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5903, "step": 2233 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8757, "step": 2234 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5541, "step": 2235 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.4051, "step": 2236 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8054, "step": 2237 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.706, "step": 2238 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5371, "step": 2239 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8356, "step": 2240 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7072, "step": 2241 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9304, "step": 2242 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.4524, "step": 2243 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7466, "step": 2244 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5997, "step": 2245 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8495, "step": 2246 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7294, "step": 2247 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8635, "step": 2248 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5812, "step": 2249 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6445, "step": 2250 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7867, "step": 2251 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6845, "step": 2252 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.4957, "step": 2253 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9406, "step": 2254 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7521, "step": 2255 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5711, "step": 2256 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8207, "step": 2257 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6694, "step": 2258 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7207, "step": 2259 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7083, "step": 2260 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.0189, "step": 2261 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8612, "step": 2262 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8677, "step": 2263 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6715, "step": 2264 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.613, "step": 2265 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5192, "step": 2266 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7587, "step": 2267 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8895, "step": 2268 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7601, "step": 2269 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7784, "step": 2270 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6201, "step": 2271 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9124, "step": 2272 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5006, "step": 2273 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.4803, "step": 2274 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6261, "step": 2275 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.0411, "step": 2276 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7963, "step": 2277 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5156, "step": 2278 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8242, "step": 2279 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5926, "step": 2280 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.706, "step": 2281 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8337, "step": 2282 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7706, "step": 2283 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8174, "step": 2284 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6997, "step": 2285 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8908, "step": 2286 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5795, "step": 2287 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.4157, "step": 2288 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.667, "step": 2289 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6896, "step": 2290 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8381, "step": 2291 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.4569, "step": 2292 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7577, "step": 2293 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6098, "step": 2294 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5901, "step": 2295 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.2479, "step": 2296 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.0104, "step": 2297 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9279, "step": 2298 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6048, "step": 2299 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8614, "step": 2300 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.801, "step": 2301 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7454, "step": 2302 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7341, "step": 2303 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.5231, "step": 2304 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7058, "step": 2305 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8307, "step": 2306 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8121, "step": 2307 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7077, "step": 2308 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.3068, "step": 2309 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8777, "step": 2310 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7639, "step": 2311 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.5534, "step": 2312 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7567, "step": 2313 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7601, "step": 2314 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9011, "step": 2315 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7401, "step": 2316 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8722, "step": 2317 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.3922, "step": 2318 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.566, "step": 2319 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9724, "step": 2320 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7435, "step": 2321 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9256, "step": 2322 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8565, "step": 2323 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7397, "step": 2324 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7206, "step": 2325 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.5781, "step": 2326 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7947, "step": 2327 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9134, "step": 2328 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7724, "step": 2329 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7839, "step": 2330 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.5617, "step": 2331 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.5283, "step": 2332 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8845, "step": 2333 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9394, "step": 2334 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.5065, "step": 2335 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7226, "step": 2336 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8484, "step": 2337 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9959, "step": 2338 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8621, "step": 2339 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8229, "step": 2340 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.098, "step": 2341 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7376, "step": 2342 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6809, "step": 2343 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8448, "step": 2344 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.815, "step": 2345 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.553, "step": 2346 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8353, "step": 2347 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6692, "step": 2348 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8624, "step": 2349 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6762, "step": 2350 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6933, "step": 2351 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8819, "step": 2352 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8977, "step": 2353 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.4797, "step": 2354 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7995, "step": 2355 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7238, "step": 2356 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7433, "step": 2357 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7697, "step": 2358 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.0265, "step": 2359 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7768, "step": 2360 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8289, "step": 2361 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8881, "step": 2362 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8236, "step": 2363 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6492, "step": 2364 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.0229, "step": 2365 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9183, "step": 2366 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8145, "step": 2367 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6277, "step": 2368 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.1702, "step": 2369 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7412, "step": 2370 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6011, "step": 2371 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8508, "step": 2372 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8252, "step": 2373 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7023, "step": 2374 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8433, "step": 2375 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5978, "step": 2376 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6374, "step": 2377 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7186, "step": 2378 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5166, "step": 2379 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8021, "step": 2380 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6947, "step": 2381 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9828, "step": 2382 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.594, "step": 2383 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6464, "step": 2384 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7427, "step": 2385 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.4973, "step": 2386 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.4356, "step": 2387 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5693, "step": 2388 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8429, "step": 2389 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.732, "step": 2390 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.877, "step": 2391 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.517, "step": 2392 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9646, "step": 2393 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9545, "step": 2394 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8539, "step": 2395 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7505, "step": 2396 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9533, "step": 2397 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6778, "step": 2398 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9345, "step": 2399 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8759, "step": 2400 }, { "epoch": 0.38, "eval_loss": 0.7651224732398987, "eval_runtime": 154.2484, "eval_samples_per_second": 6.483, "eval_steps_per_second": 3.242, "step": 2400 }, { "epoch": 0.38, "mmlu_eval_accuracy": 0.5624705798486987, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.6875, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.375, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, "mmlu_eval_accuracy_high_school_mathematics": 0.41379310344827586, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "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": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "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": 0.6052631578947368, "mmlu_eval_accuracy_moral_scenarios": 0.25, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.4857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "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": 0.8421052631578947, "mmlu_loss": 1.1194534825438307, "step": 2400 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6206, "step": 2401 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9718, "step": 2402 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8169, "step": 2403 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.69, "step": 2404 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6925, "step": 2405 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0063, "step": 2406 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5846, "step": 2407 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5876, "step": 2408 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0634, "step": 2409 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7269, "step": 2410 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8603, "step": 2411 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6938, "step": 2412 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8736, "step": 2413 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7956, "step": 2414 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6972, "step": 2415 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7999, "step": 2416 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6066, "step": 2417 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8752, "step": 2418 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9231, "step": 2419 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8189, "step": 2420 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9343, "step": 2421 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6707, "step": 2422 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6636, "step": 2423 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.663, "step": 2424 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.888, "step": 2425 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8586, "step": 2426 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5672, "step": 2427 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7757, "step": 2428 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7973, "step": 2429 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7226, "step": 2430 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9112, "step": 2431 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7809, "step": 2432 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.1891, "step": 2433 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8708, "step": 2434 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.806, "step": 2435 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.88, "step": 2436 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8345, "step": 2437 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9437, "step": 2438 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8135, "step": 2439 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7038, "step": 2440 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8935, "step": 2441 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.437, "step": 2442 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7927, "step": 2443 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7057, "step": 2444 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7662, "step": 2445 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8216, "step": 2446 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.4736, "step": 2447 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8618, "step": 2448 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8377, "step": 2449 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.835, "step": 2450 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5387, "step": 2451 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.3974, "step": 2452 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6561, "step": 2453 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7845, "step": 2454 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.621, "step": 2455 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.623, "step": 2456 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6785, "step": 2457 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7822, "step": 2458 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6686, "step": 2459 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.761, "step": 2460 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0861, "step": 2461 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7419, "step": 2462 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6922, "step": 2463 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6752, "step": 2464 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8933, "step": 2465 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5946, "step": 2466 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7595, "step": 2467 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7645, "step": 2468 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6758, "step": 2469 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9602, "step": 2470 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5958, "step": 2471 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6995, "step": 2472 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6133, "step": 2473 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7518, "step": 2474 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8109, "step": 2475 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6634, "step": 2476 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.664, "step": 2477 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7698, "step": 2478 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6105, "step": 2479 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7868, "step": 2480 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9841, "step": 2481 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7156, "step": 2482 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5704, "step": 2483 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9989, "step": 2484 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6164, "step": 2485 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.781, "step": 2486 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9494, "step": 2487 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6019, "step": 2488 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7856, "step": 2489 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7254, "step": 2490 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9502, "step": 2491 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6858, "step": 2492 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9666, "step": 2493 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6383, "step": 2494 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.868, "step": 2495 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7429, "step": 2496 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 1.0344, "step": 2497 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8218, "step": 2498 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6882, "step": 2499 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8617, "step": 2500 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8927, "step": 2501 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9421, "step": 2502 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.842, "step": 2503 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5198, "step": 2504 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6956, "step": 2505 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6876, "step": 2506 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9103, "step": 2507 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.736, "step": 2508 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7183, "step": 2509 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7013, "step": 2510 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8832, "step": 2511 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7887, "step": 2512 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9484, "step": 2513 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8062, "step": 2514 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6902, "step": 2515 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.855, "step": 2516 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 1.2346, "step": 2517 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8135, "step": 2518 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7842, "step": 2519 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6226, "step": 2520 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8105, "step": 2521 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7092, "step": 2522 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8569, "step": 2523 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8793, "step": 2524 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8025, "step": 2525 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8359, "step": 2526 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7059, "step": 2527 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8905, "step": 2528 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7131, "step": 2529 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6884, "step": 2530 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6592, "step": 2531 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9285, "step": 2532 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6421, "step": 2533 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7145, "step": 2534 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7694, "step": 2535 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7482, "step": 2536 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5778, "step": 2537 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5525, "step": 2538 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8711, "step": 2539 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.971, "step": 2540 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7225, "step": 2541 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.4895, "step": 2542 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6673, "step": 2543 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5987, "step": 2544 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7015, "step": 2545 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6587, "step": 2546 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5999, "step": 2547 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8582, "step": 2548 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7123, "step": 2549 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8132, "step": 2550 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6125, "step": 2551 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6748, "step": 2552 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6799, "step": 2553 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.78, "step": 2554 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.846, "step": 2555 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5806, "step": 2556 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9196, "step": 2557 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8931, "step": 2558 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7888, "step": 2559 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.779, "step": 2560 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9353, "step": 2561 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.6848, "step": 2562 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.4665, "step": 2563 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7483, "step": 2564 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.0337, "step": 2565 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.6033, "step": 2566 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.6239, "step": 2567 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.5735, "step": 2568 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9526, "step": 2569 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.0108, "step": 2570 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9184, "step": 2571 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8799, "step": 2572 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.78, "step": 2573 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.5785, "step": 2574 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.6739, "step": 2575 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8482, "step": 2576 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8114, "step": 2577 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8108, "step": 2578 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7972, "step": 2579 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8059, "step": 2580 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7114, "step": 2581 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8087, "step": 2582 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7473, "step": 2583 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7232, "step": 2584 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8243, "step": 2585 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8246, "step": 2586 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8495, "step": 2587 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.5323, "step": 2588 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.1253, "step": 2589 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9701, "step": 2590 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.6898, "step": 2591 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.624, "step": 2592 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9637, "step": 2593 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9289, "step": 2594 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.0066, "step": 2595 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7497, "step": 2596 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.734, "step": 2597 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.4871, "step": 2598 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.4253, "step": 2599 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.5948, "step": 2600 }, { "epoch": 0.41, "eval_loss": 0.7661512494087219, "eval_runtime": 154.0727, "eval_samples_per_second": 6.49, "eval_steps_per_second": 3.245, "step": 2600 }, { "epoch": 0.41, "mmlu_eval_accuracy": 0.5679563659767859, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "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": 0.6875, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.5625, "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.4375, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "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": 0.5813953488372093, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "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": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, "mmlu_eval_accuracy_moral_scenarios": 0.31, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.5714285714285714, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.40588235294117647, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.9090909090909091, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 1.0179552338608873, "step": 2600 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8843, "step": 2601 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.812, "step": 2602 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.6411, "step": 2603 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7164, "step": 2604 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.0682, "step": 2605 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8123, "step": 2606 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.48, "step": 2607 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.0163, "step": 2608 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.6776, "step": 2609 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.6648, "step": 2610 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9115, "step": 2611 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9277, "step": 2612 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7041, "step": 2613 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8077, "step": 2614 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7168, "step": 2615 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7957, "step": 2616 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7803, "step": 2617 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7448, "step": 2618 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7608, "step": 2619 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.5486, "step": 2620 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7254, "step": 2621 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8062, "step": 2622 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.6394, "step": 2623 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.6803, "step": 2624 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8534, "step": 2625 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8728, "step": 2626 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9337, "step": 2627 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7832, "step": 2628 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.892, "step": 2629 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.5206, "step": 2630 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.6818, "step": 2631 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7798, "step": 2632 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9207, "step": 2633 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7464, "step": 2634 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7452, "step": 2635 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.4633, "step": 2636 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7484, "step": 2637 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7164, "step": 2638 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.668, "step": 2639 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8043, "step": 2640 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8406, "step": 2641 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8372, "step": 2642 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8021, "step": 2643 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8184, "step": 2644 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9284, "step": 2645 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.621, "step": 2646 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9563, "step": 2647 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7252, "step": 2648 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.6509, "step": 2649 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8042, "step": 2650 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.4925, "step": 2651 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.895, "step": 2652 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.5328, "step": 2653 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.6849, "step": 2654 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7898, "step": 2655 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.5941, "step": 2656 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7705, "step": 2657 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7203, "step": 2658 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7277, "step": 2659 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9109, "step": 2660 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8183, "step": 2661 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9336, "step": 2662 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9547, "step": 2663 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7118, "step": 2664 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9229, "step": 2665 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8521, "step": 2666 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.469, "step": 2667 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9923, "step": 2668 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7796, "step": 2669 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7078, "step": 2670 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.6577, "step": 2671 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7557, "step": 2672 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7277, "step": 2673 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.0745, "step": 2674 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8817, "step": 2675 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8034, "step": 2676 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9355, "step": 2677 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8188, "step": 2678 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7091, "step": 2679 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9192, "step": 2680 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.976, "step": 2681 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.626, "step": 2682 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7467, "step": 2683 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6723, "step": 2684 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8783, "step": 2685 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.4366, "step": 2686 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6779, "step": 2687 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0294, "step": 2688 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7594, "step": 2689 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.5292, "step": 2690 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7544, "step": 2691 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.666, "step": 2692 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.898, "step": 2693 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9804, "step": 2694 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7473, "step": 2695 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7298, "step": 2696 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6925, "step": 2697 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9618, "step": 2698 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8334, "step": 2699 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9895, "step": 2700 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7453, "step": 2701 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8302, "step": 2702 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7066, "step": 2703 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8948, "step": 2704 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6103, "step": 2705 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8514, "step": 2706 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.5317, "step": 2707 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8515, "step": 2708 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9006, "step": 2709 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8898, "step": 2710 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.1376, "step": 2711 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7969, "step": 2712 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9071, "step": 2713 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6908, "step": 2714 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8895, "step": 2715 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6107, "step": 2716 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7235, "step": 2717 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7149, "step": 2718 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7755, "step": 2719 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6051, "step": 2720 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8665, "step": 2721 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.1083, "step": 2722 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8693, "step": 2723 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8784, "step": 2724 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8176, "step": 2725 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8451, "step": 2726 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8351, "step": 2727 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6871, "step": 2728 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.5722, "step": 2729 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0001, "step": 2730 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6871, "step": 2731 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8315, "step": 2732 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.4567, "step": 2733 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9456, "step": 2734 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.1987, "step": 2735 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.577, "step": 2736 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8487, "step": 2737 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6784, "step": 2738 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8538, "step": 2739 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8905, "step": 2740 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6777, "step": 2741 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7522, "step": 2742 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6365, "step": 2743 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8715, "step": 2744 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8256, "step": 2745 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8174, "step": 2746 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.5741, "step": 2747 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6881, "step": 2748 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.761, "step": 2749 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6263, "step": 2750 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8404, "step": 2751 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8139, "step": 2752 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6443, "step": 2753 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7609, "step": 2754 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7508, "step": 2755 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.898, "step": 2756 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.0191, "step": 2757 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.638, "step": 2758 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8798, "step": 2759 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6677, "step": 2760 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.5935, "step": 2761 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.4809, "step": 2762 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6599, "step": 2763 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7427, "step": 2764 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6909, "step": 2765 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8595, "step": 2766 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9035, "step": 2767 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.785, "step": 2768 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.887, "step": 2769 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6448, "step": 2770 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8065, "step": 2771 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.3544, "step": 2772 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7964, "step": 2773 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.735, "step": 2774 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7173, "step": 2775 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.79, "step": 2776 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7712, "step": 2777 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8338, "step": 2778 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7975, "step": 2779 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.5577, "step": 2780 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8836, "step": 2781 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9423, "step": 2782 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8901, "step": 2783 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.994, "step": 2784 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9521, "step": 2785 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6148, "step": 2786 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.0294, "step": 2787 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6, "step": 2788 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8442, "step": 2789 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6579, "step": 2790 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9145, "step": 2791 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8967, "step": 2792 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8157, "step": 2793 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7994, "step": 2794 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6207, "step": 2795 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.0185, "step": 2796 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6345, "step": 2797 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9593, "step": 2798 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7049, "step": 2799 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.663, "step": 2800 }, { "epoch": 0.44, "eval_loss": 0.7674273252487183, "eval_runtime": 154.2084, "eval_samples_per_second": 6.485, "eval_steps_per_second": 3.242, "step": 2800 }, { "epoch": 0.44, "mmlu_eval_accuracy": 0.5511994197947703, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.2727272727272727, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.6875, "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.46875, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, "mmlu_eval_accuracy_high_school_mathematics": 0.4827586206896552, "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.8260869565217391, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.24, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.7058823529411765, "mmlu_eval_accuracy_prehistory": 0.5142857142857142, "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, "mmlu_eval_accuracy_professional_law": 0.3352941176470588, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "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": 0.942348246260816, "step": 2800 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.587, "step": 2801 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8977, "step": 2802 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6955, "step": 2803 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.4845, "step": 2804 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7463, "step": 2805 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6968, "step": 2806 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.0559, "step": 2807 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8352, "step": 2808 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8016, "step": 2809 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9315, "step": 2810 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9207, "step": 2811 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5789, "step": 2812 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7798, "step": 2813 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9765, "step": 2814 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0961, "step": 2815 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6356, "step": 2816 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9308, "step": 2817 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7317, "step": 2818 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6642, "step": 2819 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8237, "step": 2820 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7207, "step": 2821 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7373, "step": 2822 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9012, "step": 2823 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9821, "step": 2824 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8571, "step": 2825 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6697, "step": 2826 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7659, "step": 2827 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8655, "step": 2828 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5293, "step": 2829 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5071, "step": 2830 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6551, "step": 2831 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9504, "step": 2832 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7951, "step": 2833 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5605, "step": 2834 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7162, "step": 2835 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8557, "step": 2836 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5876, "step": 2837 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5886, "step": 2838 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6519, "step": 2839 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9664, "step": 2840 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9408, "step": 2841 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8025, "step": 2842 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.1454, "step": 2843 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5452, "step": 2844 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9546, "step": 2845 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0051, "step": 2846 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8962, "step": 2847 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.944, "step": 2848 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6481, "step": 2849 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9251, "step": 2850 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6401, "step": 2851 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6171, "step": 2852 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.685, "step": 2853 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9159, "step": 2854 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5748, "step": 2855 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5587, "step": 2856 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6527, "step": 2857 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8061, "step": 2858 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5341, "step": 2859 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6837, "step": 2860 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6611, "step": 2861 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.011, "step": 2862 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6661, "step": 2863 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0433, "step": 2864 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5817, "step": 2865 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6004, "step": 2866 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6455, "step": 2867 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5553, "step": 2868 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9338, "step": 2869 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9513, "step": 2870 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6759, "step": 2871 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6971, "step": 2872 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.643, "step": 2873 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6082, "step": 2874 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8566, "step": 2875 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6212, "step": 2876 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6484, "step": 2877 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7251, "step": 2878 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.4865, "step": 2879 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9865, "step": 2880 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8788, "step": 2881 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7626, "step": 2882 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.812, "step": 2883 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7046, "step": 2884 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6597, "step": 2885 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8784, "step": 2886 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7085, "step": 2887 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7176, "step": 2888 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9342, "step": 2889 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7757, "step": 2890 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.81, "step": 2891 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7539, "step": 2892 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.5108, "step": 2893 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7267, "step": 2894 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8182, "step": 2895 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.5342, "step": 2896 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8221, "step": 2897 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.525, "step": 2898 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7658, "step": 2899 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8098, "step": 2900 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7154, "step": 2901 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6155, "step": 2902 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.1014, "step": 2903 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.1176, "step": 2904 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7612, "step": 2905 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.4644, "step": 2906 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.721, "step": 2907 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6156, "step": 2908 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9569, "step": 2909 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.5903, "step": 2910 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8421, "step": 2911 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6383, "step": 2912 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6201, "step": 2913 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8539, "step": 2914 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.5631, "step": 2915 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6047, "step": 2916 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6235, "step": 2917 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.74, "step": 2918 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6723, "step": 2919 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9831, "step": 2920 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.5035, "step": 2921 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8029, "step": 2922 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7096, "step": 2923 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7221, "step": 2924 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8989, "step": 2925 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6671, "step": 2926 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8628, "step": 2927 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7338, "step": 2928 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7262, "step": 2929 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6672, "step": 2930 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0155, "step": 2931 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0529, "step": 2932 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7418, "step": 2933 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8946, "step": 2934 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.743, "step": 2935 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7156, "step": 2936 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8404, "step": 2937 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6377, "step": 2938 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.4454, "step": 2939 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9867, "step": 2940 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9101, "step": 2941 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6059, "step": 2942 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9332, "step": 2943 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9007, "step": 2944 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.2737, "step": 2945 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7288, "step": 2946 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6987, "step": 2947 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8003, "step": 2948 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.5017, "step": 2949 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7679, "step": 2950 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7067, "step": 2951 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.841, "step": 2952 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6596, "step": 2953 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.1137, "step": 2954 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.882, "step": 2955 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.2774, "step": 2956 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7886, "step": 2957 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6354, "step": 2958 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.5929, "step": 2959 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8442, "step": 2960 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.605, "step": 2961 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7092, "step": 2962 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7097, "step": 2963 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6839, "step": 2964 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.828, "step": 2965 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8358, "step": 2966 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9713, "step": 2967 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.617, "step": 2968 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8392, "step": 2969 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8022, "step": 2970 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.811, "step": 2971 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9148, "step": 2972 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6941, "step": 2973 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.738, "step": 2974 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.4141, "step": 2975 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8723, "step": 2976 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6317, "step": 2977 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9264, "step": 2978 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6504, "step": 2979 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7718, "step": 2980 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0107, "step": 2981 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7336, "step": 2982 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7582, "step": 2983 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.4954, "step": 2984 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6749, "step": 2985 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8779, "step": 2986 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9532, "step": 2987 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6555, "step": 2988 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9404, "step": 2989 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7595, "step": 2990 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9983, "step": 2991 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.5561, "step": 2992 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.2638, "step": 2993 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0896, "step": 2994 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8815, "step": 2995 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6182, "step": 2996 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8334, "step": 2997 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.6705, "step": 2998 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7409, "step": 2999 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.5997, "step": 3000 }, { "epoch": 0.48, "eval_loss": 0.7691279053688049, "eval_runtime": 154.1254, "eval_samples_per_second": 6.488, "eval_steps_per_second": 3.244, "step": 3000 }, { "epoch": 0.48, "mmlu_eval_accuracy": 0.5623990229668796, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, "mmlu_eval_accuracy_college_biology": 0.75, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.4375, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.8888888888888888, "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.8260869565217391, "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.29, "mmlu_eval_accuracy_nutrition": 0.5757575757575758, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.4857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, "mmlu_eval_accuracy_professional_law": 0.37058823529411766, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.9090909090909091, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 1.0620064400817333, "step": 3000 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9068, "step": 3001 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8931, "step": 3002 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8292, "step": 3003 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8151, "step": 3004 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8772, "step": 3005 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9654, "step": 3006 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.5569, "step": 3007 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9775, "step": 3008 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8366, "step": 3009 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6717, "step": 3010 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7224, "step": 3011 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6621, "step": 3012 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.4494, "step": 3013 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.0549, "step": 3014 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.5475, "step": 3015 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.5793, "step": 3016 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6459, "step": 3017 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8717, "step": 3018 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.617, "step": 3019 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.4244, "step": 3020 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7609, "step": 3021 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.879, "step": 3022 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8133, "step": 3023 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.5078, "step": 3024 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.5626, "step": 3025 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8504, "step": 3026 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.5335, "step": 3027 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6964, "step": 3028 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9161, "step": 3029 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9832, "step": 3030 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7348, "step": 3031 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9649, "step": 3032 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6193, "step": 3033 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.5984, "step": 3034 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.651, "step": 3035 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.648, "step": 3036 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7007, "step": 3037 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6491, "step": 3038 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7933, "step": 3039 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.74, "step": 3040 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7283, "step": 3041 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9207, "step": 3042 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.834, "step": 3043 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7889, "step": 3044 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6374, "step": 3045 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6523, "step": 3046 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9087, "step": 3047 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8387, "step": 3048 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6058, "step": 3049 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6205, "step": 3050 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6565, "step": 3051 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9696, "step": 3052 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.721, "step": 3053 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6676, "step": 3054 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8752, "step": 3055 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7811, "step": 3056 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9415, "step": 3057 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7631, "step": 3058 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.972, "step": 3059 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.0149, "step": 3060 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9302, "step": 3061 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6172, "step": 3062 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9742, "step": 3063 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7073, "step": 3064 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8104, "step": 3065 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7233, "step": 3066 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8569, "step": 3067 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9298, "step": 3068 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.681, "step": 3069 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8772, "step": 3070 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6969, "step": 3071 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7834, "step": 3072 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8738, "step": 3073 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8311, "step": 3074 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8388, "step": 3075 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8995, "step": 3076 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7304, "step": 3077 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6716, "step": 3078 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8813, "step": 3079 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9288, "step": 3080 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.5848, "step": 3081 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7189, "step": 3082 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8171, "step": 3083 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9371, "step": 3084 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.635, "step": 3085 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6763, "step": 3086 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.905, "step": 3087 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8026, "step": 3088 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8803, "step": 3089 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.2569, "step": 3090 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.569, "step": 3091 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.0335, "step": 3092 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.394, "step": 3093 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.673, "step": 3094 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7914, "step": 3095 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.0206, "step": 3096 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6832, "step": 3097 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.5957, "step": 3098 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9287, "step": 3099 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.1037, "step": 3100 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.5888, "step": 3101 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8122, "step": 3102 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8177, "step": 3103 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.659, "step": 3104 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8647, "step": 3105 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7491, "step": 3106 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9033, "step": 3107 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9382, "step": 3108 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8947, "step": 3109 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7379, "step": 3110 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7396, "step": 3111 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7082, "step": 3112 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6076, "step": 3113 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6178, "step": 3114 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7032, "step": 3115 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8485, "step": 3116 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7132, "step": 3117 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7934, "step": 3118 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9058, "step": 3119 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6982, "step": 3120 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.778, "step": 3121 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8369, "step": 3122 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6503, "step": 3123 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9624, "step": 3124 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7555, "step": 3125 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7941, "step": 3126 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8793, "step": 3127 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.2909, "step": 3128 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8029, "step": 3129 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.5714, "step": 3130 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6786, "step": 3131 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7553, "step": 3132 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8003, "step": 3133 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8077, "step": 3134 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6649, "step": 3135 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9211, "step": 3136 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6922, "step": 3137 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9557, "step": 3138 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8086, "step": 3139 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7845, "step": 3140 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9176, "step": 3141 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7974, "step": 3142 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.4942, "step": 3143 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.799, "step": 3144 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7597, "step": 3145 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7709, "step": 3146 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6799, "step": 3147 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7983, "step": 3148 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8067, "step": 3149 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8073, "step": 3150 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9136, "step": 3151 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.4973, "step": 3152 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6159, "step": 3153 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7834, "step": 3154 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7408, "step": 3155 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8044, "step": 3156 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8304, "step": 3157 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6168, "step": 3158 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8364, "step": 3159 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.539, "step": 3160 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7986, "step": 3161 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9465, "step": 3162 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9429, "step": 3163 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7276, "step": 3164 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8595, "step": 3165 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9264, "step": 3166 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7091, "step": 3167 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6859, "step": 3168 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6841, "step": 3169 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8086, "step": 3170 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7288, "step": 3171 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7661, "step": 3172 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.04, "step": 3173 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6327, "step": 3174 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7529, "step": 3175 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6539, "step": 3176 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9021, "step": 3177 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8607, "step": 3178 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.5623, "step": 3179 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6469, "step": 3180 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.714, "step": 3181 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9515, "step": 3182 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.899, "step": 3183 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8461, "step": 3184 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6307, "step": 3185 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8211, "step": 3186 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6525, "step": 3187 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8704, "step": 3188 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8249, "step": 3189 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.587, "step": 3190 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6379, "step": 3191 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6425, "step": 3192 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7066, "step": 3193 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.5686, "step": 3194 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8519, "step": 3195 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6205, "step": 3196 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7232, "step": 3197 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6922, "step": 3198 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8426, "step": 3199 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6862, "step": 3200 }, { "epoch": 0.51, "eval_loss": 0.7629965543746948, "eval_runtime": 154.1336, "eval_samples_per_second": 6.488, "eval_steps_per_second": 3.244, "step": 3200 }, { "epoch": 0.51, "mmlu_eval_accuracy": 0.5674665804683101, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.6551724137931034, "mmlu_eval_accuracy_college_biology": 0.6875, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "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": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "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": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.39, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.7058823529411765, "mmlu_eval_accuracy_prehistory": 0.5714285714285714, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.9545454545454546, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 0.9711529963477162, "step": 3200 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9965, "step": 3201 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7891, "step": 3202 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6615, "step": 3203 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7627, "step": 3204 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7441, "step": 3205 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.767, "step": 3206 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.5223, "step": 3207 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9191, "step": 3208 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7832, "step": 3209 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.5525, "step": 3210 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6596, "step": 3211 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7418, "step": 3212 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7766, "step": 3213 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7553, "step": 3214 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8779, "step": 3215 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6156, "step": 3216 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7356, "step": 3217 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.5287, "step": 3218 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.829, "step": 3219 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9044, "step": 3220 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.0448, "step": 3221 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6776, "step": 3222 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9609, "step": 3223 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.5319, "step": 3224 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.5432, "step": 3225 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7769, "step": 3226 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6744, "step": 3227 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.1649, "step": 3228 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7848, "step": 3229 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.0686, "step": 3230 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.5391, "step": 3231 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7815, "step": 3232 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8228, "step": 3233 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6345, "step": 3234 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.5399, "step": 3235 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.73, "step": 3236 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8413, "step": 3237 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9666, "step": 3238 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.5803, "step": 3239 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7686, "step": 3240 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.3888, "step": 3241 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8287, "step": 3242 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7429, "step": 3243 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6778, "step": 3244 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7724, "step": 3245 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.787, "step": 3246 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8083, "step": 3247 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.4991, "step": 3248 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8432, "step": 3249 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.96, "step": 3250 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9107, "step": 3251 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6552, "step": 3252 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.862, "step": 3253 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.1451, "step": 3254 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.5368, "step": 3255 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0099, "step": 3256 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7452, "step": 3257 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.492, "step": 3258 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8189, "step": 3259 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7278, "step": 3260 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.5625, "step": 3261 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6884, "step": 3262 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7123, "step": 3263 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.5403, "step": 3264 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6426, "step": 3265 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.767, "step": 3266 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.4773, "step": 3267 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9203, "step": 3268 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6287, "step": 3269 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8633, "step": 3270 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6269, "step": 3271 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7794, "step": 3272 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7715, "step": 3273 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6585, "step": 3274 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7115, "step": 3275 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9137, "step": 3276 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.5999, "step": 3277 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.5939, "step": 3278 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9334, "step": 3279 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6509, "step": 3280 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9304, "step": 3281 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8704, "step": 3282 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.5694, "step": 3283 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6288, "step": 3284 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8801, "step": 3285 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9204, "step": 3286 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8326, "step": 3287 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6396, "step": 3288 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7752, "step": 3289 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.73, "step": 3290 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7932, "step": 3291 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7861, "step": 3292 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0282, "step": 3293 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7553, "step": 3294 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7494, "step": 3295 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8878, "step": 3296 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.5596, "step": 3297 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6364, "step": 3298 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6179, "step": 3299 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8688, "step": 3300 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9171, "step": 3301 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.969, "step": 3302 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8665, "step": 3303 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8592, "step": 3304 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7727, "step": 3305 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8782, "step": 3306 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8427, "step": 3307 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8061, "step": 3308 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6236, "step": 3309 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.6818, "step": 3310 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7868, "step": 3311 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.5432, "step": 3312 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.806, "step": 3313 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7607, "step": 3314 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8288, "step": 3315 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6879, "step": 3316 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6363, "step": 3317 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8452, "step": 3318 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.5674, "step": 3319 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7366, "step": 3320 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.0749, "step": 3321 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8481, "step": 3322 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7, "step": 3323 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.0873, "step": 3324 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7615, "step": 3325 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8658, "step": 3326 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.805, "step": 3327 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8315, "step": 3328 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8373, "step": 3329 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8182, "step": 3330 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8542, "step": 3331 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7335, "step": 3332 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.0739, "step": 3333 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.5373, "step": 3334 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.558, "step": 3335 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6286, "step": 3336 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9106, "step": 3337 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7804, "step": 3338 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.5095, "step": 3339 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7968, "step": 3340 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6048, "step": 3341 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6296, "step": 3342 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9085, "step": 3343 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7986, "step": 3344 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.5254, "step": 3345 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8911, "step": 3346 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7992, "step": 3347 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.5926, "step": 3348 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.847, "step": 3349 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8094, "step": 3350 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6126, "step": 3351 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8703, "step": 3352 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.5927, "step": 3353 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7899, "step": 3354 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7353, "step": 3355 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8254, "step": 3356 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7458, "step": 3357 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.889, "step": 3358 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6933, "step": 3359 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8476, "step": 3360 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7241, "step": 3361 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6909, "step": 3362 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8233, "step": 3363 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.782, "step": 3364 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7936, "step": 3365 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7775, "step": 3366 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.828, "step": 3367 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9268, "step": 3368 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8086, "step": 3369 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.226, "step": 3370 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7879, "step": 3371 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6296, "step": 3372 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6879, "step": 3373 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8205, "step": 3374 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.915, "step": 3375 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6213, "step": 3376 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.743, "step": 3377 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6486, "step": 3378 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7222, "step": 3379 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7334, "step": 3380 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5205, "step": 3381 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6344, "step": 3382 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8009, "step": 3383 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8008, "step": 3384 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7096, "step": 3385 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8048, "step": 3386 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5555, "step": 3387 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7975, "step": 3388 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5849, "step": 3389 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7209, "step": 3390 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8557, "step": 3391 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.969, "step": 3392 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5456, "step": 3393 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9163, "step": 3394 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9597, "step": 3395 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8167, "step": 3396 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7962, "step": 3397 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.1326, "step": 3398 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6932, "step": 3399 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7431, "step": 3400 }, { "epoch": 0.54, "eval_loss": 0.7693173885345459, "eval_runtime": 154.1838, "eval_samples_per_second": 6.486, "eval_steps_per_second": 3.243, "step": 3400 }, { "epoch": 0.54, "mmlu_eval_accuracy": 0.5591854819504855, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.6875, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.6363636363636364, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.2, "mmlu_eval_accuracy_high_school_biology": 0.5, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "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": 0.5, "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": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, "mmlu_eval_accuracy_moral_scenarios": 0.35, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.45714285714285713, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.37058823529411766, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.8636363636363636, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.7368421052631579, "mmlu_loss": 1.1208484717900074, "step": 3400 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5936, "step": 3401 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8112, "step": 3402 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.006, "step": 3403 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7647, "step": 3404 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5858, "step": 3405 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9538, "step": 3406 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7849, "step": 3407 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5049, "step": 3408 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5491, "step": 3409 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6772, "step": 3410 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5944, "step": 3411 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.839, "step": 3412 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7563, "step": 3413 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.709, "step": 3414 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5724, "step": 3415 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8657, "step": 3416 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6283, "step": 3417 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7797, "step": 3418 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8784, "step": 3419 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5695, "step": 3420 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6049, "step": 3421 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.0167, "step": 3422 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7472, "step": 3423 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8569, "step": 3424 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6569, "step": 3425 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5842, "step": 3426 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.713, "step": 3427 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5589, "step": 3428 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5503, "step": 3429 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6668, "step": 3430 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5894, "step": 3431 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.5024, "step": 3432 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9239, "step": 3433 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8609, "step": 3434 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8058, "step": 3435 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6679, "step": 3436 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7468, "step": 3437 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.636, "step": 3438 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7306, "step": 3439 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7148, "step": 3440 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6045, "step": 3441 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9485, "step": 3442 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7391, "step": 3443 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9582, "step": 3444 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6511, "step": 3445 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6499, "step": 3446 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9401, "step": 3447 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 1.0428, "step": 3448 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6894, "step": 3449 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8947, "step": 3450 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7128, "step": 3451 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8007, "step": 3452 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.4826, "step": 3453 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.847, "step": 3454 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7362, "step": 3455 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8409, "step": 3456 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7194, "step": 3457 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.942, "step": 3458 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.5725, "step": 3459 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6538, "step": 3460 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8084, "step": 3461 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9809, "step": 3462 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6417, "step": 3463 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6087, "step": 3464 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7602, "step": 3465 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.653, "step": 3466 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7839, "step": 3467 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6554, "step": 3468 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.5536, "step": 3469 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9483, "step": 3470 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9077, "step": 3471 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.5816, "step": 3472 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.893, "step": 3473 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8234, "step": 3474 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7318, "step": 3475 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.843, "step": 3476 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.5449, "step": 3477 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7971, "step": 3478 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9811, "step": 3479 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9015, "step": 3480 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6541, "step": 3481 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8769, "step": 3482 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6927, "step": 3483 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.5391, "step": 3484 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8933, "step": 3485 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6944, "step": 3486 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7357, "step": 3487 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6049, "step": 3488 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.668, "step": 3489 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.5514, "step": 3490 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6125, "step": 3491 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7189, "step": 3492 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6608, "step": 3493 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6759, "step": 3494 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6133, "step": 3495 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.5752, "step": 3496 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7233, "step": 3497 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8079, "step": 3498 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8869, "step": 3499 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9809, "step": 3500 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6273, "step": 3501 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8444, "step": 3502 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.889, "step": 3503 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.6555, "step": 3504 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.5662, "step": 3505 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8314, "step": 3506 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.6842, "step": 3507 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.5119, "step": 3508 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.553, "step": 3509 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7699, "step": 3510 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7655, "step": 3511 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.6304, "step": 3512 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7198, "step": 3513 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0046, "step": 3514 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7464, "step": 3515 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9635, "step": 3516 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9452, "step": 3517 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9524, "step": 3518 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9687, "step": 3519 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9667, "step": 3520 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8401, "step": 3521 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8136, "step": 3522 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.5333, "step": 3523 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8676, "step": 3524 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.842, "step": 3525 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9438, "step": 3526 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7448, "step": 3527 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.5666, "step": 3528 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7605, "step": 3529 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.71, "step": 3530 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.1086, "step": 3531 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7061, "step": 3532 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7544, "step": 3533 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8561, "step": 3534 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.824, "step": 3535 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0826, "step": 3536 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.6518, "step": 3537 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8714, "step": 3538 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.6964, "step": 3539 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.5532, "step": 3540 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7787, "step": 3541 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9593, "step": 3542 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.6892, "step": 3543 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7249, "step": 3544 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.6268, "step": 3545 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.84, "step": 3546 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9913, "step": 3547 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.6102, "step": 3548 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9939, "step": 3549 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.6373, "step": 3550 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.795, "step": 3551 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.6674, "step": 3552 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0572, "step": 3553 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7928, "step": 3554 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7366, "step": 3555 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9492, "step": 3556 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8566, "step": 3557 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.6084, "step": 3558 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.4903, "step": 3559 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9961, "step": 3560 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9803, "step": 3561 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8271, "step": 3562 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.771, "step": 3563 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.659, "step": 3564 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.966, "step": 3565 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8649, "step": 3566 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.826, "step": 3567 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6576, "step": 3568 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6088, "step": 3569 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7594, "step": 3570 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6418, "step": 3571 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7391, "step": 3572 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.5146, "step": 3573 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.5607, "step": 3574 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9148, "step": 3575 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6127, "step": 3576 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6672, "step": 3577 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8704, "step": 3578 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8988, "step": 3579 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8158, "step": 3580 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6976, "step": 3581 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0503, "step": 3582 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8942, "step": 3583 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6973, "step": 3584 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8095, "step": 3585 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0496, "step": 3586 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7478, "step": 3587 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8215, "step": 3588 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.5619, "step": 3589 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7659, "step": 3590 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7355, "step": 3591 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.712, "step": 3592 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0221, "step": 3593 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7353, "step": 3594 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6497, "step": 3595 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6918, "step": 3596 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8294, "step": 3597 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6472, "step": 3598 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6602, "step": 3599 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.731, "step": 3600 }, { "epoch": 0.57, "eval_loss": 0.7654332518577576, "eval_runtime": 154.1331, "eval_samples_per_second": 6.488, "eval_steps_per_second": 3.244, "step": 3600 }, { "epoch": 0.57, "mmlu_eval_accuracy": 0.5533494883134352, "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.40625, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.85, "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": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.92, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.3, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.7058823529411765, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.8181818181818182, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.6111111111111112, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 1.0196747940529731, "step": 3600 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6293, "step": 3601 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.4382, "step": 3602 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7356, "step": 3603 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6447, "step": 3604 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0294, "step": 3605 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.5372, "step": 3606 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6975, "step": 3607 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.49, "step": 3608 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.772, "step": 3609 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6301, "step": 3610 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6382, "step": 3611 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8239, "step": 3612 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7951, "step": 3613 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7314, "step": 3614 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9919, "step": 3615 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.614, "step": 3616 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8734, "step": 3617 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8846, "step": 3618 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8445, "step": 3619 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7016, "step": 3620 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8068, "step": 3621 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.5506, "step": 3622 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.5841, "step": 3623 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.374, "step": 3624 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.696, "step": 3625 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.719, "step": 3626 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.581, "step": 3627 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0123, "step": 3628 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8242, "step": 3629 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.9788, "step": 3630 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.9806, "step": 3631 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7796, "step": 3632 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6051, "step": 3633 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7481, "step": 3634 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7201, "step": 3635 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.5482, "step": 3636 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0509, "step": 3637 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.812, "step": 3638 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8764, "step": 3639 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8913, "step": 3640 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.5558, "step": 3641 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.811, "step": 3642 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7809, "step": 3643 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6152, "step": 3644 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7649, "step": 3645 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8361, "step": 3646 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8348, "step": 3647 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.771, "step": 3648 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8711, "step": 3649 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8711, "step": 3650 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0426, "step": 3651 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7434, "step": 3652 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7935, "step": 3653 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.5169, "step": 3654 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.5407, "step": 3655 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0679, "step": 3656 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6985, "step": 3657 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.4916, "step": 3658 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6572, "step": 3659 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.829, "step": 3660 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.679, "step": 3661 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7637, "step": 3662 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.67, "step": 3663 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6791, "step": 3664 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8432, "step": 3665 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7153, "step": 3666 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8875, "step": 3667 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0827, "step": 3668 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6006, "step": 3669 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7406, "step": 3670 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.9003, "step": 3671 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8435, "step": 3672 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6841, "step": 3673 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7, "step": 3674 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6545, "step": 3675 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8708, "step": 3676 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8325, "step": 3677 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.5939, "step": 3678 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6421, "step": 3679 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7135, "step": 3680 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.727, "step": 3681 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.554, "step": 3682 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7913, "step": 3683 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6096, "step": 3684 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6482, "step": 3685 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.9025, "step": 3686 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8185, "step": 3687 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8182, "step": 3688 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7976, "step": 3689 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7168, "step": 3690 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.9399, "step": 3691 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8258, "step": 3692 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0048, "step": 3693 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.5614, "step": 3694 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8837, "step": 3695 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9782, "step": 3696 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.5366, "step": 3697 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6819, "step": 3698 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6004, "step": 3699 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7596, "step": 3700 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.4613, "step": 3701 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.5727, "step": 3702 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7332, "step": 3703 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9625, "step": 3704 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.1872, "step": 3705 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0825, "step": 3706 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8949, "step": 3707 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8708, "step": 3708 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7064, "step": 3709 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8402, "step": 3710 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0206, "step": 3711 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7582, "step": 3712 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7121, "step": 3713 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6556, "step": 3714 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0598, "step": 3715 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.714, "step": 3716 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7697, "step": 3717 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9521, "step": 3718 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7954, "step": 3719 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.85, "step": 3720 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.688, "step": 3721 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9445, "step": 3722 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6096, "step": 3723 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7993, "step": 3724 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8074, "step": 3725 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8305, "step": 3726 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.4807, "step": 3727 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8602, "step": 3728 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0976, "step": 3729 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7848, "step": 3730 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7909, "step": 3731 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.4969, "step": 3732 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6509, "step": 3733 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7907, "step": 3734 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.012, "step": 3735 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.418, "step": 3736 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7146, "step": 3737 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0301, "step": 3738 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.63, "step": 3739 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8619, "step": 3740 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7101, "step": 3741 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8459, "step": 3742 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7659, "step": 3743 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8529, "step": 3744 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9159, "step": 3745 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6633, "step": 3746 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6266, "step": 3747 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0728, "step": 3748 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0219, "step": 3749 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9206, "step": 3750 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6042, "step": 3751 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8529, "step": 3752 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.4457, "step": 3753 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7392, "step": 3754 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6578, "step": 3755 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7987, "step": 3756 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7484, "step": 3757 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7195, "step": 3758 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6079, "step": 3759 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.561, "step": 3760 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8586, "step": 3761 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7955, "step": 3762 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.5823, "step": 3763 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7652, "step": 3764 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.5626, "step": 3765 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6525, "step": 3766 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9038, "step": 3767 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8453, "step": 3768 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8163, "step": 3769 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7076, "step": 3770 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8407, "step": 3771 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.0822, "step": 3772 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6296, "step": 3773 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9061, "step": 3774 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9658, "step": 3775 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7904, "step": 3776 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7753, "step": 3777 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8465, "step": 3778 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8378, "step": 3779 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8044, "step": 3780 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.1801, "step": 3781 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.5678, "step": 3782 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6195, "step": 3783 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.0914, "step": 3784 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.747, "step": 3785 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6799, "step": 3786 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6957, "step": 3787 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7777, "step": 3788 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7962, "step": 3789 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8633, "step": 3790 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.5911, "step": 3791 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7495, "step": 3792 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.5038, "step": 3793 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7849, "step": 3794 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6109, "step": 3795 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8594, "step": 3796 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6996, "step": 3797 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9002, "step": 3798 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9028, "step": 3799 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.5109, "step": 3800 }, { "epoch": 0.6, "eval_loss": 0.7696056365966797, "eval_runtime": 154.1213, "eval_samples_per_second": 6.488, "eval_steps_per_second": 3.244, "step": 3800 }, { "epoch": 0.6, "mmlu_eval_accuracy": 0.5514883864120417, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.6363636363636364, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "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": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, "mmlu_eval_accuracy_moral_disputes": 0.631578947368421, "mmlu_eval_accuracy_moral_scenarios": 0.35, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.7058823529411765, "mmlu_eval_accuracy_prehistory": 0.6857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.34705882352941175, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.8636363636363636, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.6111111111111112, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 0.8670628694890373, "step": 3800 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8851, "step": 3801 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9515, "step": 3802 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6575, "step": 3803 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9437, "step": 3804 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9542, "step": 3805 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.2086, "step": 3806 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.702, "step": 3807 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.87, "step": 3808 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6871, "step": 3809 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8122, "step": 3810 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6599, "step": 3811 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.924, "step": 3812 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7284, "step": 3813 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6559, "step": 3814 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7678, "step": 3815 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9141, "step": 3816 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6756, "step": 3817 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6722, "step": 3818 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7322, "step": 3819 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9088, "step": 3820 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.5408, "step": 3821 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9915, "step": 3822 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.736, "step": 3823 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.5227, "step": 3824 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.6167, "step": 3825 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.687, "step": 3826 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7745, "step": 3827 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.269, "step": 3828 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8933, "step": 3829 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.4234, "step": 3830 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8429, "step": 3831 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.6473, "step": 3832 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8687, "step": 3833 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7479, "step": 3834 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7643, "step": 3835 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7707, "step": 3836 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8325, "step": 3837 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.1443, "step": 3838 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.5714, "step": 3839 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7227, "step": 3840 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7107, "step": 3841 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.633, "step": 3842 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.0556, "step": 3843 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.5244, "step": 3844 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7829, "step": 3845 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7978, "step": 3846 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8167, "step": 3847 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9815, "step": 3848 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7793, "step": 3849 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.6866, "step": 3850 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.5988, "step": 3851 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.6577, "step": 3852 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7923, "step": 3853 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.029, "step": 3854 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.6062, "step": 3855 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.6887, "step": 3856 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8, "step": 3857 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.837, "step": 3858 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8397, "step": 3859 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.4061, "step": 3860 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7355, "step": 3861 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.6902, "step": 3862 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8332, "step": 3863 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7228, "step": 3864 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.5378, "step": 3865 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.0117, "step": 3866 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8054, "step": 3867 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8705, "step": 3868 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9453, "step": 3869 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7509, "step": 3870 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.6157, "step": 3871 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9089, "step": 3872 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.5892, "step": 3873 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7669, "step": 3874 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.719, "step": 3875 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8679, "step": 3876 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8377, "step": 3877 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.3834, "step": 3878 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.0132, "step": 3879 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7544, "step": 3880 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8236, "step": 3881 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7741, "step": 3882 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.6246, "step": 3883 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.6124, "step": 3884 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8275, "step": 3885 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.5953, "step": 3886 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.1573, "step": 3887 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.91, "step": 3888 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.6285, "step": 3889 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7264, "step": 3890 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8646, "step": 3891 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7246, "step": 3892 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9141, "step": 3893 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.926, "step": 3894 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8824, "step": 3895 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8406, "step": 3896 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7004, "step": 3897 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7842, "step": 3898 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.773, "step": 3899 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.719, "step": 3900 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9221, "step": 3901 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8978, "step": 3902 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8397, "step": 3903 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7978, "step": 3904 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7561, "step": 3905 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7196, "step": 3906 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7861, "step": 3907 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.081, "step": 3908 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7792, "step": 3909 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.4474, "step": 3910 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7379, "step": 3911 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7547, "step": 3912 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7639, "step": 3913 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.878, "step": 3914 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8457, "step": 3915 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.2182, "step": 3916 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8513, "step": 3917 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.938, "step": 3918 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.4259, "step": 3919 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7627, "step": 3920 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.6513, "step": 3921 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8617, "step": 3922 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8494, "step": 3923 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.6646, "step": 3924 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9247, "step": 3925 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7675, "step": 3926 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9738, "step": 3927 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9275, "step": 3928 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.5124, "step": 3929 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7209, "step": 3930 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.4095, "step": 3931 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8867, "step": 3932 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.945, "step": 3933 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0209, "step": 3934 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7315, "step": 3935 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.6794, "step": 3936 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7865, "step": 3937 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7897, "step": 3938 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8228, "step": 3939 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8581, "step": 3940 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.715, "step": 3941 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.6144, "step": 3942 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.6288, "step": 3943 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7464, "step": 3944 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6006, "step": 3945 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8772, "step": 3946 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9723, "step": 3947 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6723, "step": 3948 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8962, "step": 3949 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.814, "step": 3950 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6111, "step": 3951 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6107, "step": 3952 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9941, "step": 3953 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7744, "step": 3954 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7665, "step": 3955 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.815, "step": 3956 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8356, "step": 3957 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6453, "step": 3958 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8203, "step": 3959 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9138, "step": 3960 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.866, "step": 3961 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9321, "step": 3962 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7371, "step": 3963 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9473, "step": 3964 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.5952, "step": 3965 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0103, "step": 3966 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.021, "step": 3967 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6668, "step": 3968 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7974, "step": 3969 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8033, "step": 3970 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7349, "step": 3971 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7806, "step": 3972 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0958, "step": 3973 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.1016, "step": 3974 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9033, "step": 3975 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7186, "step": 3976 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.5754, "step": 3977 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6235, "step": 3978 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7285, "step": 3979 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7082, "step": 3980 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8063, "step": 3981 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8189, "step": 3982 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6665, "step": 3983 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9262, "step": 3984 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.795, "step": 3985 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9939, "step": 3986 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.5958, "step": 3987 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7382, "step": 3988 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6486, "step": 3989 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.4527, "step": 3990 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.622, "step": 3991 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8086, "step": 3992 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9413, "step": 3993 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7444, "step": 3994 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6422, "step": 3995 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0646, "step": 3996 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8311, "step": 3997 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8007, "step": 3998 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6664, "step": 3999 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6447, "step": 4000 }, { "epoch": 0.63, "eval_loss": 0.7693718671798706, "eval_runtime": 154.1773, "eval_samples_per_second": 6.486, "eval_steps_per_second": 3.243, "step": 4000 }, { "epoch": 0.63, "mmlu_eval_accuracy": 0.5352350931638579, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, "mmlu_eval_accuracy_college_medicine": 0.3181818181818182, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805, "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.8, "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.6363636363636364, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, "mmlu_eval_accuracy_moral_scenarios": 0.39, "mmlu_eval_accuracy_nutrition": 0.7272727272727273, "mmlu_eval_accuracy_philosophy": 0.7058823529411765, "mmlu_eval_accuracy_prehistory": 0.5142857142857142, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.36470588235294116, "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.7727272727272727, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 0.9810659980338173, "step": 4000 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.83, "step": 4001 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.646, "step": 4002 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8556, "step": 4003 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7019, "step": 4004 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.79, "step": 4005 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6864, "step": 4006 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6132, "step": 4007 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.5654, "step": 4008 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.903, "step": 4009 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6363, "step": 4010 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9764, "step": 4011 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7711, "step": 4012 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6976, "step": 4013 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9393, "step": 4014 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9601, "step": 4015 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8749, "step": 4016 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.0163, "step": 4017 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8221, "step": 4018 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7563, "step": 4019 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6577, "step": 4020 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6928, "step": 4021 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6217, "step": 4022 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7891, "step": 4023 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8948, "step": 4024 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.691, "step": 4025 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7859, "step": 4026 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6814, "step": 4027 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.609, "step": 4028 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6803, "step": 4029 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.5843, "step": 4030 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9217, "step": 4031 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6117, "step": 4032 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6358, "step": 4033 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.0148, "step": 4034 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9618, "step": 4035 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8969, "step": 4036 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7704, "step": 4037 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7408, "step": 4038 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8289, "step": 4039 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.4738, "step": 4040 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7871, "step": 4041 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8895, "step": 4042 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8298, "step": 4043 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.0451, "step": 4044 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.818, "step": 4045 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6671, "step": 4046 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8674, "step": 4047 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.035, "step": 4048 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8155, "step": 4049 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.0994, "step": 4050 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6883, "step": 4051 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8556, "step": 4052 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.49, "step": 4053 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6584, "step": 4054 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7535, "step": 4055 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8914, "step": 4056 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8945, "step": 4057 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7041, "step": 4058 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7715, "step": 4059 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7109, "step": 4060 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8296, "step": 4061 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6581, "step": 4062 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7804, "step": 4063 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8354, "step": 4064 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7937, "step": 4065 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.0145, "step": 4066 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9111, "step": 4067 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.5688, "step": 4068 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6854, "step": 4069 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.779, "step": 4070 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.5872, "step": 4071 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.5545, "step": 4072 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.4546, "step": 4073 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.5832, "step": 4074 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8125, "step": 4075 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8927, "step": 4076 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.5784, "step": 4077 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7989, "step": 4078 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.4973, "step": 4079 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7054, "step": 4080 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.4774, "step": 4081 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6539, "step": 4082 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.829, "step": 4083 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9191, "step": 4084 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9749, "step": 4085 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.5381, "step": 4086 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9056, "step": 4087 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9909, "step": 4088 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9174, "step": 4089 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8528, "step": 4090 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6731, "step": 4091 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7239, "step": 4092 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9706, "step": 4093 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6056, "step": 4094 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8642, "step": 4095 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.576, "step": 4096 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8553, "step": 4097 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6823, "step": 4098 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6686, "step": 4099 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7582, "step": 4100 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8465, "step": 4101 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9126, "step": 4102 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7632, "step": 4103 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9982, "step": 4104 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.75, "step": 4105 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9311, "step": 4106 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6762, "step": 4107 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7119, "step": 4108 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7229, "step": 4109 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.892, "step": 4110 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6897, "step": 4111 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8789, "step": 4112 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.767, "step": 4113 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9053, "step": 4114 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.5528, "step": 4115 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8179, "step": 4116 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7357, "step": 4117 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.4945, "step": 4118 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8812, "step": 4119 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.658, "step": 4120 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9531, "step": 4121 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6913, "step": 4122 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.5328, "step": 4123 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6718, "step": 4124 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8219, "step": 4125 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7203, "step": 4126 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6444, "step": 4127 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6114, "step": 4128 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.683, "step": 4129 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.058, "step": 4130 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9971, "step": 4131 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.5533, "step": 4132 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6715, "step": 4133 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.459, "step": 4134 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7275, "step": 4135 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7578, "step": 4136 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.5548, "step": 4137 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8627, "step": 4138 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9012, "step": 4139 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8956, "step": 4140 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8071, "step": 4141 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8827, "step": 4142 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7838, "step": 4143 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9743, "step": 4144 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7614, "step": 4145 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8144, "step": 4146 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.6915, "step": 4147 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8318, "step": 4148 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9707, "step": 4149 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8841, "step": 4150 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7983, "step": 4151 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7363, "step": 4152 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.6542, "step": 4153 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.0731, "step": 4154 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.947, "step": 4155 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7051, "step": 4156 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7008, "step": 4157 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8414, "step": 4158 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9607, "step": 4159 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.0139, "step": 4160 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.6777, "step": 4161 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7708, "step": 4162 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7571, "step": 4163 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8828, "step": 4164 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7345, "step": 4165 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9221, "step": 4166 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7503, "step": 4167 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7451, "step": 4168 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.0126, "step": 4169 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7803, "step": 4170 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7694, "step": 4171 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.6501, "step": 4172 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.6345, "step": 4173 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9451, "step": 4174 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8389, "step": 4175 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.5134, "step": 4176 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7422, "step": 4177 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.6799, "step": 4178 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7718, "step": 4179 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9758, "step": 4180 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.617, "step": 4181 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7895, "step": 4182 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.5929, "step": 4183 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.5436, "step": 4184 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9379, "step": 4185 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.623, "step": 4186 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.6141, "step": 4187 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.755, "step": 4188 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7716, "step": 4189 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.6172, "step": 4190 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.6588, "step": 4191 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.71, "step": 4192 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8218, "step": 4193 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8421, "step": 4194 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.6327, "step": 4195 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.045, "step": 4196 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7564, "step": 4197 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.6338, "step": 4198 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.7238, "step": 4199 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.6519, "step": 4200 }, { "epoch": 0.67, "eval_loss": 0.7681539058685303, "eval_runtime": 154.1419, "eval_samples_per_second": 6.488, "eval_steps_per_second": 3.244, "step": 4200 }, { "epoch": 0.67, "mmlu_eval_accuracy": 0.5362484905531941, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.2727272727272727, "mmlu_eval_accuracy_conceptual_physics": 0.5769230769230769, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.5, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "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": 0.27586206896551724, "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.29, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.5882352941176471, "mmlu_eval_accuracy_prehistory": 0.6571428571428571, "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.6296296296296297, "mmlu_eval_accuracy_sociology": 0.8181818181818182, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 0.8034894238603022, "step": 4200 } ], "logging_steps": 1, "max_steps": 18933, "num_train_epochs": 3, "save_steps": 200, "total_flos": 9.689488691307479e+17, "trial_name": null, "trial_params": null }