{ "best_metric": 0.8657823204994202, "best_model_checkpoint": "experts/mistralic-expert-25/checkpoint-200", "epoch": 0.08735213830755233, "eval_steps": 200, "global_step": 600, "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": 0.6586, "step": 1 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7382, "step": 2 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9771, "step": 3 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.239, "step": 4 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.1367, "step": 5 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9121, "step": 6 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8723, "step": 7 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7729, "step": 8 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9516, "step": 9 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7457, "step": 10 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9671, "step": 11 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8585, "step": 12 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8002, "step": 13 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0357, "step": 14 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6908, "step": 15 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9481, "step": 16 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0791, "step": 17 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9394, "step": 18 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8856, "step": 19 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7797, "step": 20 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.1097, "step": 21 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8909, "step": 22 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0102, "step": 23 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.4585, "step": 24 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8925, "step": 25 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9697, "step": 26 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0254, "step": 27 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0075, "step": 28 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8735, "step": 29 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0522, "step": 30 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.973, "step": 31 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.559, "step": 32 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.4682, "step": 33 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0415, "step": 34 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6446, "step": 35 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8066, "step": 36 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5727, "step": 37 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0717, "step": 38 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9121, "step": 39 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8141, "step": 40 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6281, "step": 41 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0932, "step": 42 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.971, "step": 43 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9128, "step": 44 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8409, "step": 45 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0842, "step": 46 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8916, "step": 47 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7288, "step": 48 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.889, "step": 49 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9508, "step": 50 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.854, "step": 51 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6206, "step": 52 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8621, "step": 53 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4238, "step": 54 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.2063, "step": 55 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7552, "step": 56 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8874, "step": 57 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8812, "step": 58 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7006, "step": 59 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8047, "step": 60 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.1526, "step": 61 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5679, "step": 62 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.794, "step": 63 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9858, "step": 64 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9189, "step": 65 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0108, "step": 66 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.1895, "step": 67 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5368, "step": 68 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7866, "step": 69 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.868, "step": 70 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9624, "step": 71 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.656, "step": 72 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7712, "step": 73 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8823, "step": 74 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6565, "step": 75 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0115, "step": 76 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.2936, "step": 77 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8947, "step": 78 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6353, "step": 79 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5608, "step": 80 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0677, "step": 81 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8707, "step": 82 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0677, "step": 83 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7594, "step": 84 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6097, "step": 85 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.1323, "step": 86 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6166, "step": 87 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9671, "step": 88 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9475, "step": 89 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5055, "step": 90 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9368, "step": 91 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0028, "step": 92 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7944, "step": 93 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9518, "step": 94 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6992, "step": 95 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7948, "step": 96 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.5601, "step": 97 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8346, "step": 98 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9327, "step": 99 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0734, "step": 100 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7085, "step": 101 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8345, "step": 102 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8653, "step": 103 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0132, "step": 104 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6714, "step": 105 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.1224, "step": 106 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9094, "step": 107 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7111, "step": 108 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8389, "step": 109 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.994, "step": 110 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7135, "step": 111 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6824, "step": 112 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8392, "step": 113 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6321, "step": 114 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5622, "step": 115 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0738, "step": 116 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9969, "step": 117 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.1434, "step": 118 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7824, "step": 119 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6799, "step": 120 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6665, "step": 121 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.2051, "step": 122 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7486, "step": 123 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8522, "step": 124 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.07, "step": 125 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9415, "step": 126 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.622, "step": 127 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.1949, "step": 128 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9893, "step": 129 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6507, "step": 130 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6626, "step": 131 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6973, "step": 132 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0162, "step": 133 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8232, "step": 134 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0537, "step": 135 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9964, "step": 136 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0375, "step": 137 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9369, "step": 138 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7409, "step": 139 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7771, "step": 140 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7179, "step": 141 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0834, "step": 142 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6802, "step": 143 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0296, "step": 144 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9016, "step": 145 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6938, "step": 146 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.739, "step": 147 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7792, "step": 148 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.3007, "step": 149 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.3336, "step": 150 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8723, "step": 151 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.1111, "step": 152 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.1674, "step": 153 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8059, "step": 154 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7778, "step": 155 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7531, "step": 156 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6723, "step": 157 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8483, "step": 158 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0657, "step": 159 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.1322, "step": 160 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9167, "step": 161 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9756, "step": 162 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7663, "step": 163 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.135, "step": 164 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7567, "step": 165 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0317, "step": 166 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.1242, "step": 167 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.977, "step": 168 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7498, "step": 169 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8805, "step": 170 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7917, "step": 171 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5351, "step": 172 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.869, "step": 173 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.2608, "step": 174 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8666, "step": 175 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7938, "step": 176 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8882, "step": 177 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0029, "step": 178 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7313, "step": 179 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8234, "step": 180 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.882, "step": 181 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8096, "step": 182 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8343, "step": 183 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6169, "step": 184 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0987, "step": 185 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8363, "step": 186 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0218, "step": 187 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.838, "step": 188 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9084, "step": 189 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5031, "step": 190 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8404, "step": 191 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8532, "step": 192 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9322, "step": 193 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0271, "step": 194 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9383, "step": 195 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8817, "step": 196 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8641, "step": 197 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6634, "step": 198 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8597, "step": 199 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.765, "step": 200 }, { "epoch": 0.03, "eval_loss": 0.8657823204994202, "eval_runtime": 150.7329, "eval_samples_per_second": 6.634, "eval_steps_per_second": 3.317, "step": 200 }, { "epoch": 0.03, "mmlu_eval_accuracy": 0.5909590703251556, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "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": 0.5625, "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.5625, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "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": 0.391304347826087, "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": 0.5833333333333334, "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": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.35, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.7647058823529411, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.3941176470588235, "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": 0.8181818181818182, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 1.5003863334188885, "step": 200 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8749, "step": 201 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8911, "step": 202 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8477, "step": 203 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.59, "step": 204 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.68, "step": 205 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.1289, "step": 206 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6094, "step": 207 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7295, "step": 208 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9877, "step": 209 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.4836, "step": 210 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.902, "step": 211 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0939, "step": 212 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8077, "step": 213 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.1104, "step": 214 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0361, "step": 215 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7082, "step": 216 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8439, "step": 217 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.76, "step": 218 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9476, "step": 219 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9157, "step": 220 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.116, "step": 221 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8784, "step": 222 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0402, "step": 223 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0433, "step": 224 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7033, "step": 225 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5797, "step": 226 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8211, "step": 227 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9549, "step": 228 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.1082, "step": 229 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7167, "step": 230 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.72, "step": 231 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.3027, "step": 232 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9015, "step": 233 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8538, "step": 234 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.1021, "step": 235 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8727, "step": 236 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.14, "step": 237 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0598, "step": 238 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9005, "step": 239 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7569, "step": 240 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7344, "step": 241 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5442, "step": 242 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5014, "step": 243 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0667, "step": 244 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6199, "step": 245 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8805, "step": 246 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.943, "step": 247 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7799, "step": 248 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6903, "step": 249 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.078, "step": 250 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8822, "step": 251 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8223, "step": 252 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7609, "step": 253 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.66, "step": 254 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8807, "step": 255 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9438, "step": 256 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7693, "step": 257 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8977, "step": 258 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0147, "step": 259 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7311, "step": 260 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1428, "step": 261 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9863, "step": 262 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1905, "step": 263 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0178, "step": 264 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0601, "step": 265 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8216, "step": 266 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9855, "step": 267 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9618, "step": 268 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9469, "step": 269 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1452, "step": 270 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6944, "step": 271 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0098, "step": 272 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7943, "step": 273 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6379, "step": 274 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0303, "step": 275 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0032, "step": 276 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0306, "step": 277 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8565, "step": 278 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.264, "step": 279 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8809, "step": 280 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9519, "step": 281 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6438, "step": 282 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.734, "step": 283 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7444, "step": 284 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6762, "step": 285 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6035, "step": 286 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9632, "step": 287 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.78, "step": 288 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0164, "step": 289 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1476, "step": 290 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8958, "step": 291 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1306, "step": 292 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1924, "step": 293 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5887, "step": 294 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7278, "step": 295 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1009, "step": 296 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9431, "step": 297 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0868, "step": 298 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.962, "step": 299 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.944, "step": 300 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1359, "step": 301 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1752, "step": 302 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.2978, "step": 303 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1673, "step": 304 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6636, "step": 305 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6604, "step": 306 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9764, "step": 307 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9834, "step": 308 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6069, "step": 309 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8305, "step": 310 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8291, "step": 311 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4372, "step": 312 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6138, "step": 313 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4996, "step": 314 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9616, "step": 315 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.1558, "step": 316 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5072, "step": 317 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8821, "step": 318 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9128, "step": 319 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.134, "step": 320 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.842, "step": 321 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0481, "step": 322 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0161, "step": 323 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0036, "step": 324 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6041, "step": 325 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.1767, "step": 326 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6586, "step": 327 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6043, "step": 328 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7591, "step": 329 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7701, "step": 330 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8548, "step": 331 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9349, "step": 332 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7302, "step": 333 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.295, "step": 334 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7391, "step": 335 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5129, "step": 336 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.837, "step": 337 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0422, "step": 338 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9438, "step": 339 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7376, "step": 340 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5119, "step": 341 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6394, "step": 342 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.1076, "step": 343 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0006, "step": 344 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7598, "step": 345 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8456, "step": 346 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4541, "step": 347 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7358, "step": 348 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8682, "step": 349 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9197, "step": 350 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7392, "step": 351 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.96, "step": 352 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8633, "step": 353 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7089, "step": 354 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7632, "step": 355 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8844, "step": 356 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.1651, "step": 357 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8405, "step": 358 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9419, "step": 359 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9078, "step": 360 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5853, "step": 361 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.3986, "step": 362 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8585, "step": 363 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6812, "step": 364 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9836, "step": 365 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8018, "step": 366 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7313, "step": 367 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.261, "step": 368 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9301, "step": 369 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7423, "step": 370 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.4561, "step": 371 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8535, "step": 372 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7937, "step": 373 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0679, "step": 374 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6891, "step": 375 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9629, "step": 376 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5769, "step": 377 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.2939, "step": 378 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4939, "step": 379 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4871, "step": 380 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9562, "step": 381 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0184, "step": 382 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6472, "step": 383 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.91, "step": 384 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8464, "step": 385 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4652, "step": 386 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9297, "step": 387 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1218, "step": 388 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7709, "step": 389 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7838, "step": 390 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0776, "step": 391 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9132, "step": 392 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.028, "step": 393 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1235, "step": 394 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8227, "step": 395 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0908, "step": 396 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5499, "step": 397 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9925, "step": 398 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9207, "step": 399 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8515, "step": 400 }, { "epoch": 0.06, "eval_loss": 0.876522958278656, "eval_runtime": 150.8131, "eval_samples_per_second": 6.631, "eval_steps_per_second": 3.315, "step": 400 }, { "epoch": 0.06, "mmlu_eval_accuracy": 0.5887418611751553, "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": 0.6206896551724138, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "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": 0.5625, "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": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6744186046511628, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "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": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.92, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.29, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.4857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, "mmlu_eval_accuracy_professional_law": 0.4, "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, "mmlu_eval_accuracy_professional_psychology": 0.6521739130434783, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.8181818181818182, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 1.1819022774851975, "step": 400 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.3854, "step": 401 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9, "step": 402 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5635, "step": 403 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7944, "step": 404 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8498, "step": 405 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.825, "step": 406 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.027, "step": 407 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8133, "step": 408 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8375, "step": 409 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.867, "step": 410 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6564, "step": 411 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0908, "step": 412 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8063, "step": 413 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0551, "step": 414 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7884, "step": 415 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.196, "step": 416 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9368, "step": 417 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7889, "step": 418 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.92, "step": 419 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.923, "step": 420 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.505, "step": 421 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6246, "step": 422 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5029, "step": 423 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6821, "step": 424 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0521, "step": 425 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.042, "step": 426 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1292, "step": 427 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6349, "step": 428 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1455, "step": 429 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1963, "step": 430 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.2138, "step": 431 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8752, "step": 432 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0621, "step": 433 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6651, "step": 434 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.859, "step": 435 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.716, "step": 436 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1293, "step": 437 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.839, "step": 438 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7725, "step": 439 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7605, "step": 440 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6043, "step": 441 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7387, "step": 442 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7862, "step": 443 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6836, "step": 444 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7421, "step": 445 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6429, "step": 446 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8383, "step": 447 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9174, "step": 448 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0507, "step": 449 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8531, "step": 450 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9912, "step": 451 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.3324, "step": 452 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9734, "step": 453 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8301, "step": 454 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8535, "step": 455 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0383, "step": 456 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7763, "step": 457 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9024, "step": 458 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9093, "step": 459 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0652, "step": 460 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8565, "step": 461 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.1394, "step": 462 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8269, "step": 463 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8476, "step": 464 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9835, "step": 465 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.1196, "step": 466 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.1287, "step": 467 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.2022, "step": 468 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.128, "step": 469 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.907, "step": 470 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6075, "step": 471 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5395, "step": 472 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8201, "step": 473 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7534, "step": 474 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5769, "step": 475 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8533, "step": 476 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.811, "step": 477 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9281, "step": 478 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7688, "step": 479 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0322, "step": 480 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9395, "step": 481 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.1276, "step": 482 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7285, "step": 483 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.3029, "step": 484 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0498, "step": 485 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8145, "step": 486 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0636, "step": 487 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7355, "step": 488 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.3619, "step": 489 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0884, "step": 490 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.4766, "step": 491 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.1152, "step": 492 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6886, "step": 493 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0537, "step": 494 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8822, "step": 495 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7957, "step": 496 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.796, "step": 497 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8098, "step": 498 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9354, "step": 499 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8849, "step": 500 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9698, "step": 501 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9888, "step": 502 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5669, "step": 503 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.3472, "step": 504 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0173, "step": 505 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8667, "step": 506 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0662, "step": 507 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9613, "step": 508 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0865, "step": 509 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.595, "step": 510 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0889, "step": 511 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8027, "step": 512 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.731, "step": 513 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6451, "step": 514 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7651, "step": 515 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7503, "step": 516 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5418, "step": 517 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7422, "step": 518 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.1012, "step": 519 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9694, "step": 520 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6278, "step": 521 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8709, "step": 522 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0756, "step": 523 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.1526, "step": 524 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7537, "step": 525 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0647, "step": 526 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0072, "step": 527 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8717, "step": 528 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7804, "step": 529 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0055, "step": 530 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5341, "step": 531 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8038, "step": 532 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.654, "step": 533 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8137, "step": 534 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7152, "step": 535 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7722, "step": 536 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6854, "step": 537 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6428, "step": 538 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9156, "step": 539 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9922, "step": 540 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7666, "step": 541 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6726, "step": 542 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7685, "step": 543 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7058, "step": 544 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0806, "step": 545 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8948, "step": 546 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5322, "step": 547 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8362, "step": 548 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8556, "step": 549 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.777, "step": 550 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6575, "step": 551 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.1689, "step": 552 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9121, "step": 553 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.515, "step": 554 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.1138, "step": 555 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0415, "step": 556 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9963, "step": 557 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9907, "step": 558 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8903, "step": 559 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9432, "step": 560 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8081, "step": 561 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0427, "step": 562 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.819, "step": 563 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8198, "step": 564 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8071, "step": 565 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6164, "step": 566 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9555, "step": 567 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9625, "step": 568 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8593, "step": 569 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.1361, "step": 570 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8922, "step": 571 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.481, "step": 572 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.937, "step": 573 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6731, "step": 574 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.863, "step": 575 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4361, "step": 576 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.1296, "step": 577 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7308, "step": 578 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8204, "step": 579 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7462, "step": 580 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9368, "step": 581 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6612, "step": 582 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.3348, "step": 583 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7409, "step": 584 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8789, "step": 585 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8893, "step": 586 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.952, "step": 587 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.579, "step": 588 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0583, "step": 589 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.2175, "step": 590 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6296, "step": 591 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6771, "step": 592 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0436, "step": 593 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9851, "step": 594 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8748, "step": 595 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.1432, "step": 596 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8468, "step": 597 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5878, "step": 598 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6763, "step": 599 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7246, "step": 600 }, { "epoch": 0.09, "eval_loss": 0.8749128580093384, "eval_runtime": 150.7177, "eval_samples_per_second": 6.635, "eval_steps_per_second": 3.317, "step": 600 }, { "epoch": 0.09, "mmlu_eval_accuracy": 0.5945356668386175, "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": 0.5862068965517241, "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": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.6363636363636364, "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.6875, "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.5625, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "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": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.92, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.32, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.5142857142857142, "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, "mmlu_eval_accuracy_professional_law": 0.36470588235294116, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.6296296296296297, "mmlu_eval_accuracy_sociology": 0.8636363636363636, "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 1.300421111344046, "step": 600 } ], "logging_steps": 1, "max_steps": 20604, "num_train_epochs": 3, "save_steps": 200, "total_flos": 1.4150457833285222e+17, "trial_name": null, "trial_params": null }